{"version":3,"file":"app.mjs","sources":["../src/app/tabs.js","../src/app/colHelpPopover.js","../node_modules/pgs_catalog_sdk/dist/sdk.mjs","../src/sdk/prs.js","../node_modules/personal_genomes_project_sdk/dist/sdk.mjs","../node_modules/localforage/dist/localforage.js","../src/app/notebookLinks.js","../src/app/calculatePrs.js","../src/app/plotPrs.js","../node_modules/clustjs/dist/sdk.mjs","../node_modules/d3-svg-to-png/index.js","../src/app/clust.js","../src/app/aiInterpret.js","../node_modules/@xenova/transformers/src/utils/core.js","../node_modules/onnxruntime-common/dist/lib/backend-impl.js","../node_modules/onnxruntime-common/dist/lib/env-impl.js","../node_modules/onnxruntime-common/dist/lib/env.js","../node_modules/onnxruntime-common/dist/lib/tensor-impl.js","../node_modules/onnxruntime-common/dist/lib/tensor.js","../node_modules/onnxruntime-common/dist/lib/inference-session-impl.js","../node_modules/onnxruntime-common/dist/lib/inference-session.js","../node_modules/onnxruntime-common/dist/lib/index.js","../node_modules/onnxruntime-web/dist/ort-web.min.js","../node_modules/@xenova/transformers/src/backends/onnx.js","../node_modules/@xenova/transformers/src/env.js","../node_modules/@xenova/transformers/src/utils/hub.js","../node_modules/@xenova/transformers/src/utils/maths.js","../node_modules/@xenova/transformers/src/utils/tensor.js","../node_modules/@xenova/transformers/src/utils/data-structures.js","../node_modules/@huggingface/jinja/dist/index.js","../node_modules/@xenova/transformers/src/tokenizers.js","../node_modules/@xenova/transformers/src/configs.js","../node_modules/@xenova/transformers/src/utils/generation.js","../node_modules/@xenova/transformers/src/models.js","../node_modules/@xenova/transformers/src/utils/image.js","../node_modules/@xenova/transformers/src/utils/audio.js","../node_modules/@xenova/transformers/src/processors.js","../node_modules/@xenova/transformers/src/pipelines.js","../src/app/transformersjs.js","../src/app/webLLM.js"],"sourcesContent":["// logic in tabs.js to show only the selected category panel \r\nlet pgsModuleLoaded = false;\r\nlet localDataModuleLoaded = false;\r\n\r\n\r\n// the PGS and 23andMe tables lazy-load on first tab click by moving their initialization \r\n// code into separate modules and importing them here on demand. \r\n// This keeps the initial load faster and avoids unnecessary fetches until the user actually clicks those tabs. \r\n// The try/catch blocks ensure that any errors during dynamic import or rendering are logged without breaking \r\n// the tab functionality.\r\nasync function ensurePgsModuleLoaded() {\r\n    if (!pgsModuleLoaded) {\r\n        await import(\"./displayScores.js\");\r\n        pgsModuleLoaded = true;\r\n    }\r\n}\r\n\r\nasync function ensureLocalDataModuleLoaded() {\r\n    if (!localDataModuleLoaded) {\r\n        await import(\"./displayUsers.js\");\r\n        localDataModuleLoaded = true;\r\n    }\r\n}\r\n\r\nasync function tabFunction(evt, openTab, subTab) {\r\n    var i, tabcontent, tablinks;\r\n    tabcontent = document.getElementsByClassName(\"tabcontent\");\r\n    for (i = 0; i < tabcontent.length; i++) {\r\n        tabcontent[i].style.display = \"none\";\r\n    }\r\n    tablinks = document.getElementsByClassName(\"tablinks\");\r\n\r\n    for (i = 0; i < tablinks.length; i++) {\r\n        tablinks[i].className = tablinks[i].className.replace(\" active\", \"\");\r\n        tablinks[i].setAttribute(\"aria-selected\", \"false\");\r\n    }\r\n    if(subTab) {\r\n      var parent = evt.currentTarget.closest('.tabcontent');\r\n      parent.style.display = \"block\";\r\n      parent.className += \" active\";\r\n    }\r\n    document.getElementById(openTab).style.display = \"block\";\r\n    evt.currentTarget.className += \" active\";\r\n    evt.currentTarget.setAttribute(\"aria-selected\", \"true\");\r\n    updateTabCompletion();\r\n\r\n        if (openTab === 'PGSCatalog') {\r\n            try { await ensurePgsModuleLoaded(); } catch (e) { console.error('PGS module load error', e); }\r\n        }\r\n        if (openTab === 'GenomicData') {\r\n            try { await ensureLocalDataModuleLoaded(); } catch (e) { console.error('GenomicData module load error', e); }\r\n            if (typeof window.renderLocalUsers === 'function') {\r\n                try { window.renderLocalUsers(); } catch (e) { console.error('renderLocalUsers error', e); }\r\n            }\r\n        }\r\n        if (openTab === 'PlotPRS' && typeof window.renderPlotPRS === 'function') {\r\n            try { window.renderPlotPRS(); } catch (e) { console.error('renderPlotPRS error', e); }\r\n        }\r\n        if (openTab === 'Cluster' && typeof window.renderCluster === 'function') {\r\n            try { window.renderCluster(); } catch (e) { console.error('renderCluster error', e); }\r\n        }\r\n        if (openTab === 'AIInterpret') {\r\n            try { selectAIMode(window.currentAIMode || 'cloud'); } catch (e) { console.error('selectAIMode error', e); }\r\n        }\r\n\r\n}\r\n\r\n// Switch between the three AI interpretation modes inside the unified AI Interpret tab.\r\n// Local model UIs are rendered lazily the first time their mode is shown so the heavy\r\n// WebLLM / Transformers.js models are not loaded until the user asks for them.\r\nfunction selectAIMode(mode) {\r\n    const panels = { cloud: 'aiModeCloud', webllm: 'aiModeWebLLM', transformers: 'aiModeTransformers' };\r\n    const buttons = { cloud: 'aiModeCloudBtn', webllm: 'aiModeWebLLMBtn', transformers: 'aiModeTransformersBtn' };\r\n\r\n    if (!panels[mode]) mode = 'cloud';\r\n\r\n    Object.values(panels).forEach(id => {\r\n        const el = document.getElementById(id);\r\n        if (el) el.style.display = 'none';\r\n    });\r\n    Object.values(buttons).forEach(id => {\r\n        const el = document.getElementById(id);\r\n        if (el) el.classList.remove('active');\r\n    });\r\n\r\n    const panel = document.getElementById(panels[mode]);\r\n    const btn = document.getElementById(buttons[mode]);\r\n    if (panel) panel.style.display = 'block';\r\n    if (btn) btn.classList.add('active');\r\n    window.currentAIMode = mode;\r\n\r\n    if (mode === 'webllm' && typeof window.renderWebLLM === 'function') {\r\n        try { window.renderWebLLM(); } catch (e) { console.error('renderWebLLM error', e); }\r\n    }\r\n    if (mode === 'transformers' && typeof window.rendertransformersjs === 'function') {\r\n        try { window.rendertransformersjs(); } catch (e) { console.error('rendertransformersjs error', e); }\r\n    }\r\n}\r\n\r\n// Show a green checkmark on the step tabs whose data is loaded (genomes, risk\r\n// models, PRS results). Called on tab switches and polled cheaply so checkmarks\r\n// appear when background loads finish without wiring into every load path.\r\nfunction updateTabCompletion() {\r\n    const done = {\r\n        tabCheckGenomic: (window.loadedUsers?.length ?? 0) > 0,\r\n        tabCheckModels: (window.loadedPgsTxts?.length ?? 0) > 0,\r\n        tabCheckPrs: (window.prsResults?.length ?? 0) > 0,\r\n    };\r\n    for (const [id, isDone] of Object.entries(done)) {\r\n        const el = document.getElementById(id);\r\n        if (el) el.style.display = isDone ? '' : 'none';\r\n    }\r\n}\r\nsetInterval(updateTabCompletion, 2000);\r\n\r\nwindow.tabFunction = tabFunction;\r\nwindow.selectAIMode = selectAIMode;\r\nwindow.updateTabCompletion = updateTabCompletion;\r\n\r\nexport {\r\n    tabFunction\r\n}\r\n\r\n\r\n\r\n","// Closable help text box for the \"?\" column badges used across all tables.\r\n//\r\n// A single delegated listener serves every table (Genomic Data, Risk Models,\r\n// Results, participants, variant tables), including ones re-rendered later:\r\n// clicking a `.col-help` badge opens a small text box anchored under it, titled\r\n// with the column name and pointing at the badge with a small arrow. The same\r\n// box also serves `.cell-more` truncated body cells, showing the full value.\r\n// The box closes via its × button, the Escape key, clicking outside, or\r\n// clicking the badge again. Only one box is open at a time.\r\n\r\nlet openHelp = null; // { el, anchor }\r\n\r\nfunction closeHelpPopover() {\r\n\tif (!openHelp) return;\r\n\topenHelp.anchor?.setAttribute?.(\"aria-expanded\", \"false\");\r\n\topenHelp.el.remove();\r\n\topenHelp = null;\r\n}\r\n\r\nfunction openHelpPopover(anchor) {\r\n\tcloseHelpPopover();\r\n\tconst text = anchor.getAttribute(\"data-help\") || \"\";\r\n\tif (!text) return;\r\n\r\n\tconst pop = document.createElement(\"div\");\r\n\tpop.className = \"col-help-popover\";\r\n\tpop.setAttribute(\"role\", \"note\");\r\n\r\n\tconst close = document.createElement(\"button\");\r\n\tclose.type = \"button\";\r\n\tclose.className = \"col-help-popover-close\";\r\n\tclose.setAttribute(\"aria-label\", \"Close\");\r\n\tclose.innerHTML = \"&times;\";\r\n\tpop.appendChild(close);\r\n\r\n\t// Title the box with the column name when the badge sits in a header cell\r\n\t// (truncated body cells have no title — the box just shows the full value).\r\n\tconst th = anchor.closest(\"th\");\r\n\tconst title = (th?.dataset?.label ?? th?.textContent ?? \"\").replace(/[?⇅▲▼]/g, \"\").trim();\r\n\tif (title) {\r\n\t\tconst heading = document.createElement(\"div\");\r\n\t\theading.className = \"col-help-popover-title\";\r\n\t\theading.textContent = title;\r\n\t\tpop.appendChild(heading);\r\n\t}\r\n\r\n\tconst body = document.createElement(\"div\");\r\n\tbody.className = \"col-help-popover-body\";\r\n\tbody.textContent = text;\r\n\tpop.appendChild(body);\r\n\r\n\t// Optional \"learn more\" link (e.g. an Observable notebook documenting the process).\r\n\tconst linkUrl = anchor.getAttribute(\"data-help-link\") || \"\";\r\n\tif (/^https?:\\/\\//i.test(linkUrl)) {\r\n\t\tconst more = document.createElement(\"a\");\r\n\t\tmore.className = \"col-help-popover-link\";\r\n\t\tmore.href = linkUrl;\r\n\t\tmore.target = \"_blank\";\r\n\t\tmore.rel = \"noopener\";\r\n\t\tmore.textContent = `${anchor.getAttribute(\"data-help-link-label\") || \"Learn more\"} →`;\r\n\t\tpop.appendChild(more);\r\n\t}\r\n\r\n\tdocument.body.appendChild(pop);\r\n\r\n\t// Position under the badge, clamped to the viewport width; the arrow keeps\r\n\t// pointing at the badge even when the box itself is clamped.\r\n\tconst r = anchor.getBoundingClientRect();\r\n\tconst margin = 8;\r\n\tconst w = pop.offsetWidth;\r\n\tlet left = window.scrollX + r.left + r.width / 2 - w / 2;\r\n\tconst maxLeft = window.scrollX + document.documentElement.clientWidth - w - margin;\r\n\tleft = Math.max(window.scrollX + margin, Math.min(left, maxLeft));\r\n\tpop.style.left = `${left}px`;\r\n\tpop.style.top = `${window.scrollY + r.bottom + 6}px`;\r\n\tconst arrowLeft = window.scrollX + r.left + r.width / 2 - left;\r\n\tpop.style.setProperty(\"--arrow-left\", `${Math.max(10, Math.min(arrowLeft, w - 10))}px`);\r\n\r\n\tanchor.setAttribute(\"aria-expanded\", \"true\");\r\n\topenHelp = { el: pop, anchor };\r\n}\r\n\r\nfunction toggleHelpPopover(badge) {\r\n\tif (openHelp && openHelp.anchor === badge) closeHelpPopover();\r\n\telse openHelpPopover(badge);\r\n}\r\n\r\ndocument.addEventListener(\"click\", (e) => {\r\n\tif (e.target.closest?.(\".col-help-popover-close\")) { closeHelpPopover(); return; }\r\n\tif (e.target.closest?.(\".col-help-popover\")) return; // allow selecting text inside the box\r\n\tconst badge = e.target.closest?.(\".col-help, .cell-more\");\r\n\tif (badge) { toggleHelpPopover(badge); return; }\r\n\tcloseHelpPopover(); // any other click closes the box\r\n});\r\n\r\ndocument.addEventListener(\"keydown\", (e) => {\r\n\tif (e.key === \"Escape\") { closeHelpPopover(); return; }\r\n\tif (e.key !== \"Enter\" && e.key !== \" \") return;\r\n\tconst badge = e.target.closest?.(\".col-help, .cell-more\");\r\n\tif (badge) { e.preventDefault(); toggleHelpPopover(badge); }\r\n});\r\n\r\nexport { closeHelpPopover };\r\n","var commonjsGlobal = typeof globalThis !== 'undefined' ? globalThis : typeof window !== 'undefined' ? window : typeof global !== 'undefined' ? global : typeof self !== 'undefined' ? self : {};\n\nfunction getDefaultExportFromCjs (x) {\n\treturn x && x.__esModule && Object.prototype.hasOwnProperty.call(x, 'default') ? x['default'] : x;\n}\n\nfunction commonjsRequire(path) {\n\tthrow new Error('Could not dynamically require \"' + path + '\". Please configure the dynamicRequireTargets or/and ignoreDynamicRequires option of @rollup/plugin-commonjs appropriately for this require call to work.');\n}\n\nvar localforage$1 = {exports: {}};\n\n/*!\n    localForage -- Offline Storage, Improved\n    Version 1.10.0\n    https://localforage.github.io/localForage\n    (c) 2013-2017 Mozilla, Apache License 2.0\n*/\n\nvar hasRequiredLocalforage;\n\nfunction requireLocalforage () {\n\tif (hasRequiredLocalforage) return localforage$1.exports;\n\thasRequiredLocalforage = 1;\n\t(function (module, exports$1) {\n\t\t(function(f){{module.exports=f();}})(function(){return (function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof commonjsRequire==\"function\"&&commonjsRequire;if(!u&&a)return a(o,true);if(i)return i(o,true);var f=new Error(\"Cannot find module '\"+o+\"'\");throw (f.code=\"MODULE_NOT_FOUND\", f)}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r);}return n[o].exports}var i=typeof commonjsRequire==\"function\"&&commonjsRequire;for(var o=0;o<r.length;o++)s(r[o]);return s})({1:[function(_dereq_,module,exports$1){\n\t\t(function (global){\n\t\tvar Mutation = global.MutationObserver || global.WebKitMutationObserver;\n\n\t\tvar scheduleDrain;\n\n\t\t{\n\t\t  if (Mutation) {\n\t\t    var called = 0;\n\t\t    var observer = new Mutation(nextTick);\n\t\t    var element = global.document.createTextNode('');\n\t\t    observer.observe(element, {\n\t\t      characterData: true\n\t\t    });\n\t\t    scheduleDrain = function () {\n\t\t      element.data = (called = ++called % 2);\n\t\t    };\n\t\t  } else if (!global.setImmediate && typeof global.MessageChannel !== 'undefined') {\n\t\t    var channel = new global.MessageChannel();\n\t\t    channel.port1.onmessage = nextTick;\n\t\t    scheduleDrain = function () {\n\t\t      channel.port2.postMessage(0);\n\t\t    };\n\t\t  } else if ('document' in global && 'onreadystatechange' in global.document.createElement('script')) {\n\t\t    scheduleDrain = function () {\n\n\t\t      // Create a <script> element; its readystatechange event will be fired asynchronously once it is inserted\n\t\t      // into the document. Do so, thus queuing up the task. Remember to clean up once it's been called.\n\t\t      var scriptEl = global.document.createElement('script');\n\t\t      scriptEl.onreadystatechange = function () {\n\t\t        nextTick();\n\n\t\t        scriptEl.onreadystatechange = null;\n\t\t        scriptEl.parentNode.removeChild(scriptEl);\n\t\t        scriptEl = null;\n\t\t      };\n\t\t      global.document.documentElement.appendChild(scriptEl);\n\t\t    };\n\t\t  } else {\n\t\t    scheduleDrain = function () {\n\t\t      setTimeout(nextTick, 0);\n\t\t    };\n\t\t  }\n\t\t}\n\n\t\tvar draining;\n\t\tvar queue = [];\n\t\t//named nextTick for less confusing stack traces\n\t\tfunction nextTick() {\n\t\t  draining = true;\n\t\t  var i, oldQueue;\n\t\t  var len = queue.length;\n\t\t  while (len) {\n\t\t    oldQueue = queue;\n\t\t    queue = [];\n\t\t    i = -1;\n\t\t    while (++i < len) {\n\t\t      oldQueue[i]();\n\t\t    }\n\t\t    len = queue.length;\n\t\t  }\n\t\t  draining = false;\n\t\t}\n\n\t\tmodule.exports = immediate;\n\t\tfunction immediate(task) {\n\t\t  if (queue.push(task) === 1 && !draining) {\n\t\t    scheduleDrain();\n\t\t  }\n\t\t}\n\n\t\t}).call(this,typeof commonjsGlobal !== \"undefined\" ? commonjsGlobal : typeof self !== \"undefined\" ? self : typeof window !== \"undefined\" ? window : {});\n\t\t},{}],2:[function(_dereq_,module,exports$1){\n\t\tvar immediate = _dereq_(1);\n\n\t\t/* istanbul ignore next */\n\t\tfunction INTERNAL() {}\n\n\t\tvar handlers = {};\n\n\t\tvar REJECTED = ['REJECTED'];\n\t\tvar FULFILLED = ['FULFILLED'];\n\t\tvar PENDING = ['PENDING'];\n\n\t\tmodule.exports = Promise;\n\n\t\tfunction Promise(resolver) {\n\t\t  if (typeof resolver !== 'function') {\n\t\t    throw new TypeError('resolver must be a function');\n\t\t  }\n\t\t  this.state = PENDING;\n\t\t  this.queue = [];\n\t\t  this.outcome = void 0;\n\t\t  if (resolver !== INTERNAL) {\n\t\t    safelyResolveThenable(this, resolver);\n\t\t  }\n\t\t}\n\n\t\tPromise.prototype[\"catch\"] = function (onRejected) {\n\t\t  return this.then(null, onRejected);\n\t\t};\n\t\tPromise.prototype.then = function (onFulfilled, onRejected) {\n\t\t  if (typeof onFulfilled !== 'function' && this.state === FULFILLED ||\n\t\t    typeof onRejected !== 'function' && this.state === REJECTED) {\n\t\t    return this;\n\t\t  }\n\t\t  var promise = new this.constructor(INTERNAL);\n\t\t  if (this.state !== PENDING) {\n\t\t    var resolver = this.state === FULFILLED ? onFulfilled : onRejected;\n\t\t    unwrap(promise, resolver, this.outcome);\n\t\t  } else {\n\t\t    this.queue.push(new QueueItem(promise, onFulfilled, onRejected));\n\t\t  }\n\n\t\t  return promise;\n\t\t};\n\t\tfunction QueueItem(promise, onFulfilled, onRejected) {\n\t\t  this.promise = promise;\n\t\t  if (typeof onFulfilled === 'function') {\n\t\t    this.onFulfilled = onFulfilled;\n\t\t    this.callFulfilled = this.otherCallFulfilled;\n\t\t  }\n\t\t  if (typeof onRejected === 'function') {\n\t\t    this.onRejected = onRejected;\n\t\t    this.callRejected = this.otherCallRejected;\n\t\t  }\n\t\t}\n\t\tQueueItem.prototype.callFulfilled = function (value) {\n\t\t  handlers.resolve(this.promise, value);\n\t\t};\n\t\tQueueItem.prototype.otherCallFulfilled = function (value) {\n\t\t  unwrap(this.promise, this.onFulfilled, value);\n\t\t};\n\t\tQueueItem.prototype.callRejected = function (value) {\n\t\t  handlers.reject(this.promise, value);\n\t\t};\n\t\tQueueItem.prototype.otherCallRejected = function (value) {\n\t\t  unwrap(this.promise, this.onRejected, value);\n\t\t};\n\n\t\tfunction unwrap(promise, func, value) {\n\t\t  immediate(function () {\n\t\t    var returnValue;\n\t\t    try {\n\t\t      returnValue = func(value);\n\t\t    } catch (e) {\n\t\t      return handlers.reject(promise, e);\n\t\t    }\n\t\t    if (returnValue === promise) {\n\t\t      handlers.reject(promise, new TypeError('Cannot resolve promise with itself'));\n\t\t    } else {\n\t\t      handlers.resolve(promise, returnValue);\n\t\t    }\n\t\t  });\n\t\t}\n\n\t\thandlers.resolve = function (self, value) {\n\t\t  var result = tryCatch(getThen, value);\n\t\t  if (result.status === 'error') {\n\t\t    return handlers.reject(self, result.value);\n\t\t  }\n\t\t  var thenable = result.value;\n\n\t\t  if (thenable) {\n\t\t    safelyResolveThenable(self, thenable);\n\t\t  } else {\n\t\t    self.state = FULFILLED;\n\t\t    self.outcome = value;\n\t\t    var i = -1;\n\t\t    var len = self.queue.length;\n\t\t    while (++i < len) {\n\t\t      self.queue[i].callFulfilled(value);\n\t\t    }\n\t\t  }\n\t\t  return self;\n\t\t};\n\t\thandlers.reject = function (self, error) {\n\t\t  self.state = REJECTED;\n\t\t  self.outcome = error;\n\t\t  var i = -1;\n\t\t  var len = self.queue.length;\n\t\t  while (++i < len) {\n\t\t    self.queue[i].callRejected(error);\n\t\t  }\n\t\t  return self;\n\t\t};\n\n\t\tfunction getThen(obj) {\n\t\t  // Make sure we only access the accessor once as required by the spec\n\t\t  var then = obj && obj.then;\n\t\t  if (obj && (typeof obj === 'object' || typeof obj === 'function') && typeof then === 'function') {\n\t\t    return function appyThen() {\n\t\t      then.apply(obj, arguments);\n\t\t    };\n\t\t  }\n\t\t}\n\n\t\tfunction safelyResolveThenable(self, thenable) {\n\t\t  // Either fulfill, reject or reject with error\n\t\t  var called = false;\n\t\t  function onError(value) {\n\t\t    if (called) {\n\t\t      return;\n\t\t    }\n\t\t    called = true;\n\t\t    handlers.reject(self, value);\n\t\t  }\n\n\t\t  function onSuccess(value) {\n\t\t    if (called) {\n\t\t      return;\n\t\t    }\n\t\t    called = true;\n\t\t    handlers.resolve(self, value);\n\t\t  }\n\n\t\t  function tryToUnwrap() {\n\t\t    thenable(onSuccess, onError);\n\t\t  }\n\n\t\t  var result = tryCatch(tryToUnwrap);\n\t\t  if (result.status === 'error') {\n\t\t    onError(result.value);\n\t\t  }\n\t\t}\n\n\t\tfunction tryCatch(func, value) {\n\t\t  var out = {};\n\t\t  try {\n\t\t    out.value = func(value);\n\t\t    out.status = 'success';\n\t\t  } catch (e) {\n\t\t    out.status = 'error';\n\t\t    out.value = e;\n\t\t  }\n\t\t  return out;\n\t\t}\n\n\t\tPromise.resolve = resolve;\n\t\tfunction resolve(value) {\n\t\t  if (value instanceof this) {\n\t\t    return value;\n\t\t  }\n\t\t  return handlers.resolve(new this(INTERNAL), value);\n\t\t}\n\n\t\tPromise.reject = reject;\n\t\tfunction reject(reason) {\n\t\t  var promise = new this(INTERNAL);\n\t\t  return handlers.reject(promise, reason);\n\t\t}\n\n\t\tPromise.all = all;\n\t\tfunction all(iterable) {\n\t\t  var self = this;\n\t\t  if (Object.prototype.toString.call(iterable) !== '[object Array]') {\n\t\t    return this.reject(new TypeError('must be an array'));\n\t\t  }\n\n\t\t  var len = iterable.length;\n\t\t  var called = false;\n\t\t  if (!len) {\n\t\t    return this.resolve([]);\n\t\t  }\n\n\t\t  var values = new Array(len);\n\t\t  var resolved = 0;\n\t\t  var i = -1;\n\t\t  var promise = new this(INTERNAL);\n\n\t\t  while (++i < len) {\n\t\t    allResolver(iterable[i], i);\n\t\t  }\n\t\t  return promise;\n\t\t  function allResolver(value, i) {\n\t\t    self.resolve(value).then(resolveFromAll, function (error) {\n\t\t      if (!called) {\n\t\t        called = true;\n\t\t        handlers.reject(promise, error);\n\t\t      }\n\t\t    });\n\t\t    function resolveFromAll(outValue) {\n\t\t      values[i] = outValue;\n\t\t      if (++resolved === len && !called) {\n\t\t        called = true;\n\t\t        handlers.resolve(promise, values);\n\t\t      }\n\t\t    }\n\t\t  }\n\t\t}\n\n\t\tPromise.race = race;\n\t\tfunction race(iterable) {\n\t\t  var self = this;\n\t\t  if (Object.prototype.toString.call(iterable) !== '[object Array]') {\n\t\t    return this.reject(new TypeError('must be an array'));\n\t\t  }\n\n\t\t  var len = iterable.length;\n\t\t  var called = false;\n\t\t  if (!len) {\n\t\t    return this.resolve([]);\n\t\t  }\n\n\t\t  var i = -1;\n\t\t  var promise = new this(INTERNAL);\n\n\t\t  while (++i < len) {\n\t\t    resolver(iterable[i]);\n\t\t  }\n\t\t  return promise;\n\t\t  function resolver(value) {\n\t\t    self.resolve(value).then(function (response) {\n\t\t      if (!called) {\n\t\t        called = true;\n\t\t        handlers.resolve(promise, response);\n\t\t      }\n\t\t    }, function (error) {\n\t\t      if (!called) {\n\t\t        called = true;\n\t\t        handlers.reject(promise, error);\n\t\t      }\n\t\t    });\n\t\t  }\n\t\t}\n\n\t\t},{\"1\":1}],3:[function(_dereq_,module,exports$1){\n\t\t(function (global){\n\t\tif (typeof global.Promise !== 'function') {\n\t\t  global.Promise = _dereq_(2);\n\t\t}\n\n\t\t}).call(this,typeof commonjsGlobal !== \"undefined\" ? commonjsGlobal : typeof self !== \"undefined\" ? self : typeof window !== \"undefined\" ? window : {});\n\t\t},{\"2\":2}],4:[function(_dereq_,module,exports$1){\n\n\t\tvar _typeof = typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj; };\n\n\t\tfunction _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError(\"Cannot call a class as a function\"); } }\n\n\t\tfunction getIDB() {\n\t\t    /* global indexedDB,webkitIndexedDB,mozIndexedDB,OIndexedDB,msIndexedDB */\n\t\t    try {\n\t\t        if (typeof indexedDB !== 'undefined') {\n\t\t            return indexedDB;\n\t\t        }\n\t\t        if (typeof webkitIndexedDB !== 'undefined') {\n\t\t            return webkitIndexedDB;\n\t\t        }\n\t\t        if (typeof mozIndexedDB !== 'undefined') {\n\t\t            return mozIndexedDB;\n\t\t        }\n\t\t        if (typeof OIndexedDB !== 'undefined') {\n\t\t            return OIndexedDB;\n\t\t        }\n\t\t        if (typeof msIndexedDB !== 'undefined') {\n\t\t            return msIndexedDB;\n\t\t        }\n\t\t    } catch (e) {\n\t\t        return;\n\t\t    }\n\t\t}\n\n\t\tvar idb = getIDB();\n\n\t\tfunction isIndexedDBValid() {\n\t\t    try {\n\t\t        // Initialize IndexedDB; fall back to vendor-prefixed versions\n\t\t        // if needed.\n\t\t        if (!idb || !idb.open) {\n\t\t            return false;\n\t\t        }\n\t\t        // We mimic PouchDB here;\n\t\t        //\n\t\t        // We test for openDatabase because IE Mobile identifies itself\n\t\t        // as Safari. Oh the lulz...\n\t\t        var isSafari = typeof openDatabase !== 'undefined' && /(Safari|iPhone|iPad|iPod)/.test(navigator.userAgent) && !/Chrome/.test(navigator.userAgent) && !/BlackBerry/.test(navigator.platform);\n\n\t\t        var hasFetch = typeof fetch === 'function' && fetch.toString().indexOf('[native code') !== -1;\n\n\t\t        // Safari <10.1 does not meet our requirements for IDB support\n\t\t        // (see: https://github.com/pouchdb/pouchdb/issues/5572).\n\t\t        // Safari 10.1 shipped with fetch, we can use that to detect it.\n\t\t        // Note: this creates issues with `window.fetch` polyfills and\n\t\t        // overrides; see:\n\t\t        // https://github.com/localForage/localForage/issues/856\n\t\t        return (!isSafari || hasFetch) && typeof indexedDB !== 'undefined' &&\n\t\t        // some outdated implementations of IDB that appear on Samsung\n\t\t        // and HTC Android devices <4.4 are missing IDBKeyRange\n\t\t        // See: https://github.com/mozilla/localForage/issues/128\n\t\t        // See: https://github.com/mozilla/localForage/issues/272\n\t\t        typeof IDBKeyRange !== 'undefined';\n\t\t    } catch (e) {\n\t\t        return false;\n\t\t    }\n\t\t}\n\n\t\t// Abstracts constructing a Blob object, so it also works in older\n\t\t// browsers that don't support the native Blob constructor. (i.e.\n\t\t// old QtWebKit versions, at least).\n\t\t// Abstracts constructing a Blob object, so it also works in older\n\t\t// browsers that don't support the native Blob constructor. (i.e.\n\t\t// old QtWebKit versions, at least).\n\t\tfunction createBlob(parts, properties) {\n\t\t    /* global BlobBuilder,MSBlobBuilder,MozBlobBuilder,WebKitBlobBuilder */\n\t\t    parts = parts || [];\n\t\t    properties = properties || {};\n\t\t    try {\n\t\t        return new Blob(parts, properties);\n\t\t    } catch (e) {\n\t\t        if (e.name !== 'TypeError') {\n\t\t            throw e;\n\t\t        }\n\t\t        var Builder = typeof BlobBuilder !== 'undefined' ? BlobBuilder : typeof MSBlobBuilder !== 'undefined' ? MSBlobBuilder : typeof MozBlobBuilder !== 'undefined' ? MozBlobBuilder : WebKitBlobBuilder;\n\t\t        var builder = new Builder();\n\t\t        for (var i = 0; i < parts.length; i += 1) {\n\t\t            builder.append(parts[i]);\n\t\t        }\n\t\t        return builder.getBlob(properties.type);\n\t\t    }\n\t\t}\n\n\t\t// This is CommonJS because lie is an external dependency, so Rollup\n\t\t// can just ignore it.\n\t\tif (typeof Promise === 'undefined') {\n\t\t    // In the \"nopromises\" build this will just throw if you don't have\n\t\t    // a global promise object, but it would throw anyway later.\n\t\t    _dereq_(3);\n\t\t}\n\t\tvar Promise$1 = Promise;\n\n\t\tfunction executeCallback(promise, callback) {\n\t\t    if (callback) {\n\t\t        promise.then(function (result) {\n\t\t            callback(null, result);\n\t\t        }, function (error) {\n\t\t            callback(error);\n\t\t        });\n\t\t    }\n\t\t}\n\n\t\tfunction executeTwoCallbacks(promise, callback, errorCallback) {\n\t\t    if (typeof callback === 'function') {\n\t\t        promise.then(callback);\n\t\t    }\n\n\t\t    if (typeof errorCallback === 'function') {\n\t\t        promise[\"catch\"](errorCallback);\n\t\t    }\n\t\t}\n\n\t\tfunction normalizeKey(key) {\n\t\t    // Cast the key to a string, as that's all we can set as a key.\n\t\t    if (typeof key !== 'string') {\n\t\t        console.warn(key + ' used as a key, but it is not a string.');\n\t\t        key = String(key);\n\t\t    }\n\n\t\t    return key;\n\t\t}\n\n\t\tfunction getCallback() {\n\t\t    if (arguments.length && typeof arguments[arguments.length - 1] === 'function') {\n\t\t        return arguments[arguments.length - 1];\n\t\t    }\n\t\t}\n\n\t\t// Some code originally from async_storage.js in\n\t\t// [Gaia](https://github.com/mozilla-b2g/gaia).\n\n\t\tvar DETECT_BLOB_SUPPORT_STORE = 'local-forage-detect-blob-support';\n\t\tvar supportsBlobs = void 0;\n\t\tvar dbContexts = {};\n\t\tvar toString = Object.prototype.toString;\n\n\t\t// Transaction Modes\n\t\tvar READ_ONLY = 'readonly';\n\t\tvar READ_WRITE = 'readwrite';\n\n\t\t// Transform a binary string to an array buffer, because otherwise\n\t\t// weird stuff happens when you try to work with the binary string directly.\n\t\t// It is known.\n\t\t// From http://stackoverflow.com/questions/14967647/ (continues on next line)\n\t\t// encode-decode-image-with-base64-breaks-image (2013-04-21)\n\t\tfunction _binStringToArrayBuffer(bin) {\n\t\t    var length = bin.length;\n\t\t    var buf = new ArrayBuffer(length);\n\t\t    var arr = new Uint8Array(buf);\n\t\t    for (var i = 0; i < length; i++) {\n\t\t        arr[i] = bin.charCodeAt(i);\n\t\t    }\n\t\t    return buf;\n\t\t}\n\n\t\t//\n\t\t// Blobs are not supported in all versions of IndexedDB, notably\n\t\t// Chrome <37 and Android <5. In those versions, storing a blob will throw.\n\t\t//\n\t\t// Various other blob bugs exist in Chrome v37-42 (inclusive).\n\t\t// Detecting them is expensive and confusing to users, and Chrome 37-42\n\t\t// is at very low usage worldwide, so we do a hacky userAgent check instead.\n\t\t//\n\t\t// content-type bug: https://code.google.com/p/chromium/issues/detail?id=408120\n\t\t// 404 bug: https://code.google.com/p/chromium/issues/detail?id=447916\n\t\t// FileReader bug: https://code.google.com/p/chromium/issues/detail?id=447836\n\t\t//\n\t\t// Code borrowed from PouchDB. See:\n\t\t// https://github.com/pouchdb/pouchdb/blob/master/packages/node_modules/pouchdb-adapter-idb/src/blobSupport.js\n\t\t//\n\t\tfunction _checkBlobSupportWithoutCaching(idb) {\n\t\t    return new Promise$1(function (resolve) {\n\t\t        var txn = idb.transaction(DETECT_BLOB_SUPPORT_STORE, READ_WRITE);\n\t\t        var blob = createBlob(['']);\n\t\t        txn.objectStore(DETECT_BLOB_SUPPORT_STORE).put(blob, 'key');\n\n\t\t        txn.onabort = function (e) {\n\t\t            // If the transaction aborts now its due to not being able to\n\t\t            // write to the database, likely due to the disk being full\n\t\t            e.preventDefault();\n\t\t            e.stopPropagation();\n\t\t            resolve(false);\n\t\t        };\n\n\t\t        txn.oncomplete = function () {\n\t\t            var matchedChrome = navigator.userAgent.match(/Chrome\\/(\\d+)/);\n\t\t            var matchedEdge = navigator.userAgent.match(/Edge\\//);\n\t\t            // MS Edge pretends to be Chrome 42:\n\t\t            // https://msdn.microsoft.com/en-us/library/hh869301%28v=vs.85%29.aspx\n\t\t            resolve(matchedEdge || !matchedChrome || parseInt(matchedChrome[1], 10) >= 43);\n\t\t        };\n\t\t    })[\"catch\"](function () {\n\t\t        return false; // error, so assume unsupported\n\t\t    });\n\t\t}\n\n\t\tfunction _checkBlobSupport(idb) {\n\t\t    if (typeof supportsBlobs === 'boolean') {\n\t\t        return Promise$1.resolve(supportsBlobs);\n\t\t    }\n\t\t    return _checkBlobSupportWithoutCaching(idb).then(function (value) {\n\t\t        supportsBlobs = value;\n\t\t        return supportsBlobs;\n\t\t    });\n\t\t}\n\n\t\tfunction _deferReadiness(dbInfo) {\n\t\t    var dbContext = dbContexts[dbInfo.name];\n\n\t\t    // Create a deferred object representing the current database operation.\n\t\t    var deferredOperation = {};\n\n\t\t    deferredOperation.promise = new Promise$1(function (resolve, reject) {\n\t\t        deferredOperation.resolve = resolve;\n\t\t        deferredOperation.reject = reject;\n\t\t    });\n\n\t\t    // Enqueue the deferred operation.\n\t\t    dbContext.deferredOperations.push(deferredOperation);\n\n\t\t    // Chain its promise to the database readiness.\n\t\t    if (!dbContext.dbReady) {\n\t\t        dbContext.dbReady = deferredOperation.promise;\n\t\t    } else {\n\t\t        dbContext.dbReady = dbContext.dbReady.then(function () {\n\t\t            return deferredOperation.promise;\n\t\t        });\n\t\t    }\n\t\t}\n\n\t\tfunction _advanceReadiness(dbInfo) {\n\t\t    var dbContext = dbContexts[dbInfo.name];\n\n\t\t    // Dequeue a deferred operation.\n\t\t    var deferredOperation = dbContext.deferredOperations.pop();\n\n\t\t    // Resolve its promise (which is part of the database readiness\n\t\t    // chain of promises).\n\t\t    if (deferredOperation) {\n\t\t        deferredOperation.resolve();\n\t\t        return deferredOperation.promise;\n\t\t    }\n\t\t}\n\n\t\tfunction _rejectReadiness(dbInfo, err) {\n\t\t    var dbContext = dbContexts[dbInfo.name];\n\n\t\t    // Dequeue a deferred operation.\n\t\t    var deferredOperation = dbContext.deferredOperations.pop();\n\n\t\t    // Reject its promise (which is part of the database readiness\n\t\t    // chain of promises).\n\t\t    if (deferredOperation) {\n\t\t        deferredOperation.reject(err);\n\t\t        return deferredOperation.promise;\n\t\t    }\n\t\t}\n\n\t\tfunction _getConnection(dbInfo, upgradeNeeded) {\n\t\t    return new Promise$1(function (resolve, reject) {\n\t\t        dbContexts[dbInfo.name] = dbContexts[dbInfo.name] || createDbContext();\n\n\t\t        if (dbInfo.db) {\n\t\t            if (upgradeNeeded) {\n\t\t                _deferReadiness(dbInfo);\n\t\t                dbInfo.db.close();\n\t\t            } else {\n\t\t                return resolve(dbInfo.db);\n\t\t            }\n\t\t        }\n\n\t\t        var dbArgs = [dbInfo.name];\n\n\t\t        if (upgradeNeeded) {\n\t\t            dbArgs.push(dbInfo.version);\n\t\t        }\n\n\t\t        var openreq = idb.open.apply(idb, dbArgs);\n\n\t\t        if (upgradeNeeded) {\n\t\t            openreq.onupgradeneeded = function (e) {\n\t\t                var db = openreq.result;\n\t\t                try {\n\t\t                    db.createObjectStore(dbInfo.storeName);\n\t\t                    if (e.oldVersion <= 1) {\n\t\t                        // Added when support for blob shims was added\n\t\t                        db.createObjectStore(DETECT_BLOB_SUPPORT_STORE);\n\t\t                    }\n\t\t                } catch (ex) {\n\t\t                    if (ex.name === 'ConstraintError') {\n\t\t                        console.warn('The database \"' + dbInfo.name + '\"' + ' has been upgraded from version ' + e.oldVersion + ' to version ' + e.newVersion + ', but the storage \"' + dbInfo.storeName + '\" already exists.');\n\t\t                    } else {\n\t\t                        throw ex;\n\t\t                    }\n\t\t                }\n\t\t            };\n\t\t        }\n\n\t\t        openreq.onerror = function (e) {\n\t\t            e.preventDefault();\n\t\t            reject(openreq.error);\n\t\t        };\n\n\t\t        openreq.onsuccess = function () {\n\t\t            var db = openreq.result;\n\t\t            db.onversionchange = function (e) {\n\t\t                // Triggered when the database is modified (e.g. adding an objectStore) or\n\t\t                // deleted (even when initiated by other sessions in different tabs).\n\t\t                // Closing the connection here prevents those operations from being blocked.\n\t\t                // If the database is accessed again later by this instance, the connection\n\t\t                // will be reopened or the database recreated as needed.\n\t\t                e.target.close();\n\t\t            };\n\t\t            resolve(db);\n\t\t            _advanceReadiness(dbInfo);\n\t\t        };\n\t\t    });\n\t\t}\n\n\t\tfunction _getOriginalConnection(dbInfo) {\n\t\t    return _getConnection(dbInfo, false);\n\t\t}\n\n\t\tfunction _getUpgradedConnection(dbInfo) {\n\t\t    return _getConnection(dbInfo, true);\n\t\t}\n\n\t\tfunction _isUpgradeNeeded(dbInfo, defaultVersion) {\n\t\t    if (!dbInfo.db) {\n\t\t        return true;\n\t\t    }\n\n\t\t    var isNewStore = !dbInfo.db.objectStoreNames.contains(dbInfo.storeName);\n\t\t    var isDowngrade = dbInfo.version < dbInfo.db.version;\n\t\t    var isUpgrade = dbInfo.version > dbInfo.db.version;\n\n\t\t    if (isDowngrade) {\n\t\t        // If the version is not the default one\n\t\t        // then warn for impossible downgrade.\n\t\t        if (dbInfo.version !== defaultVersion) {\n\t\t            console.warn('The database \"' + dbInfo.name + '\"' + \" can't be downgraded from version \" + dbInfo.db.version + ' to version ' + dbInfo.version + '.');\n\t\t        }\n\t\t        // Align the versions to prevent errors.\n\t\t        dbInfo.version = dbInfo.db.version;\n\t\t    }\n\n\t\t    if (isUpgrade || isNewStore) {\n\t\t        // If the store is new then increment the version (if needed).\n\t\t        // This will trigger an \"upgradeneeded\" event which is required\n\t\t        // for creating a store.\n\t\t        if (isNewStore) {\n\t\t            var incVersion = dbInfo.db.version + 1;\n\t\t            if (incVersion > dbInfo.version) {\n\t\t                dbInfo.version = incVersion;\n\t\t            }\n\t\t        }\n\n\t\t        return true;\n\t\t    }\n\n\t\t    return false;\n\t\t}\n\n\t\t// encode a blob for indexeddb engines that don't support blobs\n\t\tfunction _encodeBlob(blob) {\n\t\t    return new Promise$1(function (resolve, reject) {\n\t\t        var reader = new FileReader();\n\t\t        reader.onerror = reject;\n\t\t        reader.onloadend = function (e) {\n\t\t            var base64 = btoa(e.target.result || '');\n\t\t            resolve({\n\t\t                __local_forage_encoded_blob: true,\n\t\t                data: base64,\n\t\t                type: blob.type\n\t\t            });\n\t\t        };\n\t\t        reader.readAsBinaryString(blob);\n\t\t    });\n\t\t}\n\n\t\t// decode an encoded blob\n\t\tfunction _decodeBlob(encodedBlob) {\n\t\t    var arrayBuff = _binStringToArrayBuffer(atob(encodedBlob.data));\n\t\t    return createBlob([arrayBuff], { type: encodedBlob.type });\n\t\t}\n\n\t\t// is this one of our fancy encoded blobs?\n\t\tfunction _isEncodedBlob(value) {\n\t\t    return value && value.__local_forage_encoded_blob;\n\t\t}\n\n\t\t// Specialize the default `ready()` function by making it dependent\n\t\t// on the current database operations. Thus, the driver will be actually\n\t\t// ready when it's been initialized (default) *and* there are no pending\n\t\t// operations on the database (initiated by some other instances).\n\t\tfunction _fullyReady(callback) {\n\t\t    var self = this;\n\n\t\t    var promise = self._initReady().then(function () {\n\t\t        var dbContext = dbContexts[self._dbInfo.name];\n\n\t\t        if (dbContext && dbContext.dbReady) {\n\t\t            return dbContext.dbReady;\n\t\t        }\n\t\t    });\n\n\t\t    executeTwoCallbacks(promise, callback, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Try to establish a new db connection to replace the\n\t\t// current one which is broken (i.e. experiencing\n\t\t// InvalidStateError while creating a transaction).\n\t\tfunction _tryReconnect(dbInfo) {\n\t\t    _deferReadiness(dbInfo);\n\n\t\t    var dbContext = dbContexts[dbInfo.name];\n\t\t    var forages = dbContext.forages;\n\n\t\t    for (var i = 0; i < forages.length; i++) {\n\t\t        var forage = forages[i];\n\t\t        if (forage._dbInfo.db) {\n\t\t            forage._dbInfo.db.close();\n\t\t            forage._dbInfo.db = null;\n\t\t        }\n\t\t    }\n\t\t    dbInfo.db = null;\n\n\t\t    return _getOriginalConnection(dbInfo).then(function (db) {\n\t\t        dbInfo.db = db;\n\t\t        if (_isUpgradeNeeded(dbInfo)) {\n\t\t            // Reopen the database for upgrading.\n\t\t            return _getUpgradedConnection(dbInfo);\n\t\t        }\n\t\t        return db;\n\t\t    }).then(function (db) {\n\t\t        // store the latest db reference\n\t\t        // in case the db was upgraded\n\t\t        dbInfo.db = dbContext.db = db;\n\t\t        for (var i = 0; i < forages.length; i++) {\n\t\t            forages[i]._dbInfo.db = db;\n\t\t        }\n\t\t    })[\"catch\"](function (err) {\n\t\t        _rejectReadiness(dbInfo, err);\n\t\t        throw err;\n\t\t    });\n\t\t}\n\n\t\t// FF doesn't like Promises (micro-tasks) and IDDB store operations,\n\t\t// so we have to do it with callbacks\n\t\tfunction createTransaction(dbInfo, mode, callback, retries) {\n\t\t    if (retries === undefined) {\n\t\t        retries = 1;\n\t\t    }\n\n\t\t    try {\n\t\t        var tx = dbInfo.db.transaction(dbInfo.storeName, mode);\n\t\t        callback(null, tx);\n\t\t    } catch (err) {\n\t\t        if (retries > 0 && (!dbInfo.db || err.name === 'InvalidStateError' || err.name === 'NotFoundError')) {\n\t\t            return Promise$1.resolve().then(function () {\n\t\t                if (!dbInfo.db || err.name === 'NotFoundError' && !dbInfo.db.objectStoreNames.contains(dbInfo.storeName) && dbInfo.version <= dbInfo.db.version) {\n\t\t                    // increase the db version, to create the new ObjectStore\n\t\t                    if (dbInfo.db) {\n\t\t                        dbInfo.version = dbInfo.db.version + 1;\n\t\t                    }\n\t\t                    // Reopen the database for upgrading.\n\t\t                    return _getUpgradedConnection(dbInfo);\n\t\t                }\n\t\t            }).then(function () {\n\t\t                return _tryReconnect(dbInfo).then(function () {\n\t\t                    createTransaction(dbInfo, mode, callback, retries - 1);\n\t\t                });\n\t\t            })[\"catch\"](callback);\n\t\t        }\n\n\t\t        callback(err);\n\t\t    }\n\t\t}\n\n\t\tfunction createDbContext() {\n\t\t    return {\n\t\t        // Running localForages sharing a database.\n\t\t        forages: [],\n\t\t        // Shared database.\n\t\t        db: null,\n\t\t        // Database readiness (promise).\n\t\t        dbReady: null,\n\t\t        // Deferred operations on the database.\n\t\t        deferredOperations: []\n\t\t    };\n\t\t}\n\n\t\t// Open the IndexedDB database (automatically creates one if one didn't\n\t\t// previously exist), using any options set in the config.\n\t\tfunction _initStorage(options) {\n\t\t    var self = this;\n\t\t    var dbInfo = {\n\t\t        db: null\n\t\t    };\n\n\t\t    if (options) {\n\t\t        for (var i in options) {\n\t\t            dbInfo[i] = options[i];\n\t\t        }\n\t\t    }\n\n\t\t    // Get the current context of the database;\n\t\t    var dbContext = dbContexts[dbInfo.name];\n\n\t\t    // ...or create a new context.\n\t\t    if (!dbContext) {\n\t\t        dbContext = createDbContext();\n\t\t        // Register the new context in the global container.\n\t\t        dbContexts[dbInfo.name] = dbContext;\n\t\t    }\n\n\t\t    // Register itself as a running localForage in the current context.\n\t\t    dbContext.forages.push(self);\n\n\t\t    // Replace the default `ready()` function with the specialized one.\n\t\t    if (!self._initReady) {\n\t\t        self._initReady = self.ready;\n\t\t        self.ready = _fullyReady;\n\t\t    }\n\n\t\t    // Create an array of initialization states of the related localForages.\n\t\t    var initPromises = [];\n\n\t\t    function ignoreErrors() {\n\t\t        // Don't handle errors here,\n\t\t        // just makes sure related localForages aren't pending.\n\t\t        return Promise$1.resolve();\n\t\t    }\n\n\t\t    for (var j = 0; j < dbContext.forages.length; j++) {\n\t\t        var forage = dbContext.forages[j];\n\t\t        if (forage !== self) {\n\t\t            // Don't wait for itself...\n\t\t            initPromises.push(forage._initReady()[\"catch\"](ignoreErrors));\n\t\t        }\n\t\t    }\n\n\t\t    // Take a snapshot of the related localForages.\n\t\t    var forages = dbContext.forages.slice(0);\n\n\t\t    // Initialize the connection process only when\n\t\t    // all the related localForages aren't pending.\n\t\t    return Promise$1.all(initPromises).then(function () {\n\t\t        dbInfo.db = dbContext.db;\n\t\t        // Get the connection or open a new one without upgrade.\n\t\t        return _getOriginalConnection(dbInfo);\n\t\t    }).then(function (db) {\n\t\t        dbInfo.db = db;\n\t\t        if (_isUpgradeNeeded(dbInfo, self._defaultConfig.version)) {\n\t\t            // Reopen the database for upgrading.\n\t\t            return _getUpgradedConnection(dbInfo);\n\t\t        }\n\t\t        return db;\n\t\t    }).then(function (db) {\n\t\t        dbInfo.db = dbContext.db = db;\n\t\t        self._dbInfo = dbInfo;\n\t\t        // Share the final connection amongst related localForages.\n\t\t        for (var k = 0; k < forages.length; k++) {\n\t\t            var forage = forages[k];\n\t\t            if (forage !== self) {\n\t\t                // Self is already up-to-date.\n\t\t                forage._dbInfo.db = dbInfo.db;\n\t\t                forage._dbInfo.version = dbInfo.version;\n\t\t            }\n\t\t        }\n\t\t    });\n\t\t}\n\n\t\tfunction getItem(key, callback) {\n\t\t    var self = this;\n\n\t\t    key = normalizeKey(key);\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            createTransaction(self._dbInfo, READ_ONLY, function (err, transaction) {\n\t\t                if (err) {\n\t\t                    return reject(err);\n\t\t                }\n\n\t\t                try {\n\t\t                    var store = transaction.objectStore(self._dbInfo.storeName);\n\t\t                    var req = store.get(key);\n\n\t\t                    req.onsuccess = function () {\n\t\t                        var value = req.result;\n\t\t                        if (value === undefined) {\n\t\t                            value = null;\n\t\t                        }\n\t\t                        if (_isEncodedBlob(value)) {\n\t\t                            value = _decodeBlob(value);\n\t\t                        }\n\t\t                        resolve(value);\n\t\t                    };\n\n\t\t                    req.onerror = function () {\n\t\t                        reject(req.error);\n\t\t                    };\n\t\t                } catch (e) {\n\t\t                    reject(e);\n\t\t                }\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Iterate over all items stored in database.\n\t\tfunction iterate(iterator, callback) {\n\t\t    var self = this;\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            createTransaction(self._dbInfo, READ_ONLY, function (err, transaction) {\n\t\t                if (err) {\n\t\t                    return reject(err);\n\t\t                }\n\n\t\t                try {\n\t\t                    var store = transaction.objectStore(self._dbInfo.storeName);\n\t\t                    var req = store.openCursor();\n\t\t                    var iterationNumber = 1;\n\n\t\t                    req.onsuccess = function () {\n\t\t                        var cursor = req.result;\n\n\t\t                        if (cursor) {\n\t\t                            var value = cursor.value;\n\t\t                            if (_isEncodedBlob(value)) {\n\t\t                                value = _decodeBlob(value);\n\t\t                            }\n\t\t                            var result = iterator(value, cursor.key, iterationNumber++);\n\n\t\t                            // when the iterator callback returns any\n\t\t                            // (non-`undefined`) value, then we stop\n\t\t                            // the iteration immediately\n\t\t                            if (result !== void 0) {\n\t\t                                resolve(result);\n\t\t                            } else {\n\t\t                                cursor[\"continue\"]();\n\t\t                            }\n\t\t                        } else {\n\t\t                            resolve();\n\t\t                        }\n\t\t                    };\n\n\t\t                    req.onerror = function () {\n\t\t                        reject(req.error);\n\t\t                    };\n\t\t                } catch (e) {\n\t\t                    reject(e);\n\t\t                }\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\n\t\t    return promise;\n\t\t}\n\n\t\tfunction setItem(key, value, callback) {\n\t\t    var self = this;\n\n\t\t    key = normalizeKey(key);\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        var dbInfo;\n\t\t        self.ready().then(function () {\n\t\t            dbInfo = self._dbInfo;\n\t\t            if (toString.call(value) === '[object Blob]') {\n\t\t                return _checkBlobSupport(dbInfo.db).then(function (blobSupport) {\n\t\t                    if (blobSupport) {\n\t\t                        return value;\n\t\t                    }\n\t\t                    return _encodeBlob(value);\n\t\t                });\n\t\t            }\n\t\t            return value;\n\t\t        }).then(function (value) {\n\t\t            createTransaction(self._dbInfo, READ_WRITE, function (err, transaction) {\n\t\t                if (err) {\n\t\t                    return reject(err);\n\t\t                }\n\n\t\t                try {\n\t\t                    var store = transaction.objectStore(self._dbInfo.storeName);\n\n\t\t                    // The reason we don't _save_ null is because IE 10 does\n\t\t                    // not support saving the `null` type in IndexedDB. How\n\t\t                    // ironic, given the bug below!\n\t\t                    // See: https://github.com/mozilla/localForage/issues/161\n\t\t                    if (value === null) {\n\t\t                        value = undefined;\n\t\t                    }\n\n\t\t                    var req = store.put(value, key);\n\n\t\t                    transaction.oncomplete = function () {\n\t\t                        // Cast to undefined so the value passed to\n\t\t                        // callback/promise is the same as what one would get out\n\t\t                        // of `getItem()` later. This leads to some weirdness\n\t\t                        // (setItem('foo', undefined) will return `null`), but\n\t\t                        // it's not my fault localStorage is our baseline and that\n\t\t                        // it's weird.\n\t\t                        if (value === undefined) {\n\t\t                            value = null;\n\t\t                        }\n\n\t\t                        resolve(value);\n\t\t                    };\n\t\t                    transaction.onabort = transaction.onerror = function () {\n\t\t                        var err = req.error ? req.error : req.transaction.error;\n\t\t                        reject(err);\n\t\t                    };\n\t\t                } catch (e) {\n\t\t                    reject(e);\n\t\t                }\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction removeItem(key, callback) {\n\t\t    var self = this;\n\n\t\t    key = normalizeKey(key);\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            createTransaction(self._dbInfo, READ_WRITE, function (err, transaction) {\n\t\t                if (err) {\n\t\t                    return reject(err);\n\t\t                }\n\n\t\t                try {\n\t\t                    var store = transaction.objectStore(self._dbInfo.storeName);\n\t\t                    // We use a Grunt task to make this safe for IE and some\n\t\t                    // versions of Android (including those used by Cordova).\n\t\t                    // Normally IE won't like `.delete()` and will insist on\n\t\t                    // using `['delete']()`, but we have a build step that\n\t\t                    // fixes this for us now.\n\t\t                    var req = store[\"delete\"](key);\n\t\t                    transaction.oncomplete = function () {\n\t\t                        resolve();\n\t\t                    };\n\n\t\t                    transaction.onerror = function () {\n\t\t                        reject(req.error);\n\t\t                    };\n\n\t\t                    // The request will be also be aborted if we've exceeded our storage\n\t\t                    // space.\n\t\t                    transaction.onabort = function () {\n\t\t                        var err = req.error ? req.error : req.transaction.error;\n\t\t                        reject(err);\n\t\t                    };\n\t\t                } catch (e) {\n\t\t                    reject(e);\n\t\t                }\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction clear(callback) {\n\t\t    var self = this;\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            createTransaction(self._dbInfo, READ_WRITE, function (err, transaction) {\n\t\t                if (err) {\n\t\t                    return reject(err);\n\t\t                }\n\n\t\t                try {\n\t\t                    var store = transaction.objectStore(self._dbInfo.storeName);\n\t\t                    var req = store.clear();\n\n\t\t                    transaction.oncomplete = function () {\n\t\t                        resolve();\n\t\t                    };\n\n\t\t                    transaction.onabort = transaction.onerror = function () {\n\t\t                        var err = req.error ? req.error : req.transaction.error;\n\t\t                        reject(err);\n\t\t                    };\n\t\t                } catch (e) {\n\t\t                    reject(e);\n\t\t                }\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction length(callback) {\n\t\t    var self = this;\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            createTransaction(self._dbInfo, READ_ONLY, function (err, transaction) {\n\t\t                if (err) {\n\t\t                    return reject(err);\n\t\t                }\n\n\t\t                try {\n\t\t                    var store = transaction.objectStore(self._dbInfo.storeName);\n\t\t                    var req = store.count();\n\n\t\t                    req.onsuccess = function () {\n\t\t                        resolve(req.result);\n\t\t                    };\n\n\t\t                    req.onerror = function () {\n\t\t                        reject(req.error);\n\t\t                    };\n\t\t                } catch (e) {\n\t\t                    reject(e);\n\t\t                }\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction key(n, callback) {\n\t\t    var self = this;\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        if (n < 0) {\n\t\t            resolve(null);\n\n\t\t            return;\n\t\t        }\n\n\t\t        self.ready().then(function () {\n\t\t            createTransaction(self._dbInfo, READ_ONLY, function (err, transaction) {\n\t\t                if (err) {\n\t\t                    return reject(err);\n\t\t                }\n\n\t\t                try {\n\t\t                    var store = transaction.objectStore(self._dbInfo.storeName);\n\t\t                    var advanced = false;\n\t\t                    var req = store.openKeyCursor();\n\n\t\t                    req.onsuccess = function () {\n\t\t                        var cursor = req.result;\n\t\t                        if (!cursor) {\n\t\t                            // this means there weren't enough keys\n\t\t                            resolve(null);\n\n\t\t                            return;\n\t\t                        }\n\n\t\t                        if (n === 0) {\n\t\t                            // We have the first key, return it if that's what they\n\t\t                            // wanted.\n\t\t                            resolve(cursor.key);\n\t\t                        } else {\n\t\t                            if (!advanced) {\n\t\t                                // Otherwise, ask the cursor to skip ahead n\n\t\t                                // records.\n\t\t                                advanced = true;\n\t\t                                cursor.advance(n);\n\t\t                            } else {\n\t\t                                // When we get here, we've got the nth key.\n\t\t                                resolve(cursor.key);\n\t\t                            }\n\t\t                        }\n\t\t                    };\n\n\t\t                    req.onerror = function () {\n\t\t                        reject(req.error);\n\t\t                    };\n\t\t                } catch (e) {\n\t\t                    reject(e);\n\t\t                }\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction keys(callback) {\n\t\t    var self = this;\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            createTransaction(self._dbInfo, READ_ONLY, function (err, transaction) {\n\t\t                if (err) {\n\t\t                    return reject(err);\n\t\t                }\n\n\t\t                try {\n\t\t                    var store = transaction.objectStore(self._dbInfo.storeName);\n\t\t                    var req = store.openKeyCursor();\n\t\t                    var keys = [];\n\n\t\t                    req.onsuccess = function () {\n\t\t                        var cursor = req.result;\n\n\t\t                        if (!cursor) {\n\t\t                            resolve(keys);\n\t\t                            return;\n\t\t                        }\n\n\t\t                        keys.push(cursor.key);\n\t\t                        cursor[\"continue\"]();\n\t\t                    };\n\n\t\t                    req.onerror = function () {\n\t\t                        reject(req.error);\n\t\t                    };\n\t\t                } catch (e) {\n\t\t                    reject(e);\n\t\t                }\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction dropInstance(options, callback) {\n\t\t    callback = getCallback.apply(this, arguments);\n\n\t\t    var currentConfig = this.config();\n\t\t    options = typeof options !== 'function' && options || {};\n\t\t    if (!options.name) {\n\t\t        options.name = options.name || currentConfig.name;\n\t\t        options.storeName = options.storeName || currentConfig.storeName;\n\t\t    }\n\n\t\t    var self = this;\n\t\t    var promise;\n\t\t    if (!options.name) {\n\t\t        promise = Promise$1.reject('Invalid arguments');\n\t\t    } else {\n\t\t        var isCurrentDb = options.name === currentConfig.name && self._dbInfo.db;\n\n\t\t        var dbPromise = isCurrentDb ? Promise$1.resolve(self._dbInfo.db) : _getOriginalConnection(options).then(function (db) {\n\t\t            var dbContext = dbContexts[options.name];\n\t\t            var forages = dbContext.forages;\n\t\t            dbContext.db = db;\n\t\t            for (var i = 0; i < forages.length; i++) {\n\t\t                forages[i]._dbInfo.db = db;\n\t\t            }\n\t\t            return db;\n\t\t        });\n\n\t\t        if (!options.storeName) {\n\t\t            promise = dbPromise.then(function (db) {\n\t\t                _deferReadiness(options);\n\n\t\t                var dbContext = dbContexts[options.name];\n\t\t                var forages = dbContext.forages;\n\n\t\t                db.close();\n\t\t                for (var i = 0; i < forages.length; i++) {\n\t\t                    var forage = forages[i];\n\t\t                    forage._dbInfo.db = null;\n\t\t                }\n\n\t\t                var dropDBPromise = new Promise$1(function (resolve, reject) {\n\t\t                    var req = idb.deleteDatabase(options.name);\n\n\t\t                    req.onerror = function () {\n\t\t                        var db = req.result;\n\t\t                        if (db) {\n\t\t                            db.close();\n\t\t                        }\n\t\t                        reject(req.error);\n\t\t                    };\n\n\t\t                    req.onblocked = function () {\n\t\t                        // Closing all open connections in onversionchange handler should prevent this situation, but if\n\t\t                        // we do get here, it just means the request remains pending - eventually it will succeed or error\n\t\t                        console.warn('dropInstance blocked for database \"' + options.name + '\" until all open connections are closed');\n\t\t                    };\n\n\t\t                    req.onsuccess = function () {\n\t\t                        var db = req.result;\n\t\t                        if (db) {\n\t\t                            db.close();\n\t\t                        }\n\t\t                        resolve(db);\n\t\t                    };\n\t\t                });\n\n\t\t                return dropDBPromise.then(function (db) {\n\t\t                    dbContext.db = db;\n\t\t                    for (var i = 0; i < forages.length; i++) {\n\t\t                        var _forage = forages[i];\n\t\t                        _advanceReadiness(_forage._dbInfo);\n\t\t                    }\n\t\t                })[\"catch\"](function (err) {\n\t\t                    (_rejectReadiness(options, err) || Promise$1.resolve())[\"catch\"](function () {});\n\t\t                    throw err;\n\t\t                });\n\t\t            });\n\t\t        } else {\n\t\t            promise = dbPromise.then(function (db) {\n\t\t                if (!db.objectStoreNames.contains(options.storeName)) {\n\t\t                    return;\n\t\t                }\n\n\t\t                var newVersion = db.version + 1;\n\n\t\t                _deferReadiness(options);\n\n\t\t                var dbContext = dbContexts[options.name];\n\t\t                var forages = dbContext.forages;\n\n\t\t                db.close();\n\t\t                for (var i = 0; i < forages.length; i++) {\n\t\t                    var forage = forages[i];\n\t\t                    forage._dbInfo.db = null;\n\t\t                    forage._dbInfo.version = newVersion;\n\t\t                }\n\n\t\t                var dropObjectPromise = new Promise$1(function (resolve, reject) {\n\t\t                    var req = idb.open(options.name, newVersion);\n\n\t\t                    req.onerror = function (err) {\n\t\t                        var db = req.result;\n\t\t                        db.close();\n\t\t                        reject(err);\n\t\t                    };\n\n\t\t                    req.onupgradeneeded = function () {\n\t\t                        var db = req.result;\n\t\t                        db.deleteObjectStore(options.storeName);\n\t\t                    };\n\n\t\t                    req.onsuccess = function () {\n\t\t                        var db = req.result;\n\t\t                        db.close();\n\t\t                        resolve(db);\n\t\t                    };\n\t\t                });\n\n\t\t                return dropObjectPromise.then(function (db) {\n\t\t                    dbContext.db = db;\n\t\t                    for (var j = 0; j < forages.length; j++) {\n\t\t                        var _forage2 = forages[j];\n\t\t                        _forage2._dbInfo.db = db;\n\t\t                        _advanceReadiness(_forage2._dbInfo);\n\t\t                    }\n\t\t                })[\"catch\"](function (err) {\n\t\t                    (_rejectReadiness(options, err) || Promise$1.resolve())[\"catch\"](function () {});\n\t\t                    throw err;\n\t\t                });\n\t\t            });\n\t\t        }\n\t\t    }\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tvar asyncStorage = {\n\t\t    _driver: 'asyncStorage',\n\t\t    _initStorage: _initStorage,\n\t\t    _support: isIndexedDBValid(),\n\t\t    iterate: iterate,\n\t\t    getItem: getItem,\n\t\t    setItem: setItem,\n\t\t    removeItem: removeItem,\n\t\t    clear: clear,\n\t\t    length: length,\n\t\t    key: key,\n\t\t    keys: keys,\n\t\t    dropInstance: dropInstance\n\t\t};\n\n\t\tfunction isWebSQLValid() {\n\t\t    return typeof openDatabase === 'function';\n\t\t}\n\n\t\t// Sadly, the best way to save binary data in WebSQL/localStorage is serializing\n\t\t// it to Base64, so this is how we store it to prevent very strange errors with less\n\t\t// verbose ways of binary <-> string data storage.\n\t\tvar BASE_CHARS = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/';\n\n\t\tvar BLOB_TYPE_PREFIX = '~~local_forage_type~';\n\t\tvar BLOB_TYPE_PREFIX_REGEX = /^~~local_forage_type~([^~]+)~/;\n\n\t\tvar SERIALIZED_MARKER = '__lfsc__:';\n\t\tvar SERIALIZED_MARKER_LENGTH = SERIALIZED_MARKER.length;\n\n\t\t// OMG the serializations!\n\t\tvar TYPE_ARRAYBUFFER = 'arbf';\n\t\tvar TYPE_BLOB = 'blob';\n\t\tvar TYPE_INT8ARRAY = 'si08';\n\t\tvar TYPE_UINT8ARRAY = 'ui08';\n\t\tvar TYPE_UINT8CLAMPEDARRAY = 'uic8';\n\t\tvar TYPE_INT16ARRAY = 'si16';\n\t\tvar TYPE_INT32ARRAY = 'si32';\n\t\tvar TYPE_UINT16ARRAY = 'ur16';\n\t\tvar TYPE_UINT32ARRAY = 'ui32';\n\t\tvar TYPE_FLOAT32ARRAY = 'fl32';\n\t\tvar TYPE_FLOAT64ARRAY = 'fl64';\n\t\tvar TYPE_SERIALIZED_MARKER_LENGTH = SERIALIZED_MARKER_LENGTH + TYPE_ARRAYBUFFER.length;\n\n\t\tvar toString$1 = Object.prototype.toString;\n\n\t\tfunction stringToBuffer(serializedString) {\n\t\t    // Fill the string into a ArrayBuffer.\n\t\t    var bufferLength = serializedString.length * 0.75;\n\t\t    var len = serializedString.length;\n\t\t    var i;\n\t\t    var p = 0;\n\t\t    var encoded1, encoded2, encoded3, encoded4;\n\n\t\t    if (serializedString[serializedString.length - 1] === '=') {\n\t\t        bufferLength--;\n\t\t        if (serializedString[serializedString.length - 2] === '=') {\n\t\t            bufferLength--;\n\t\t        }\n\t\t    }\n\n\t\t    var buffer = new ArrayBuffer(bufferLength);\n\t\t    var bytes = new Uint8Array(buffer);\n\n\t\t    for (i = 0; i < len; i += 4) {\n\t\t        encoded1 = BASE_CHARS.indexOf(serializedString[i]);\n\t\t        encoded2 = BASE_CHARS.indexOf(serializedString[i + 1]);\n\t\t        encoded3 = BASE_CHARS.indexOf(serializedString[i + 2]);\n\t\t        encoded4 = BASE_CHARS.indexOf(serializedString[i + 3]);\n\n\t\t        /*jslint bitwise: true */\n\t\t        bytes[p++] = encoded1 << 2 | encoded2 >> 4;\n\t\t        bytes[p++] = (encoded2 & 15) << 4 | encoded3 >> 2;\n\t\t        bytes[p++] = (encoded3 & 3) << 6 | encoded4 & 63;\n\t\t    }\n\t\t    return buffer;\n\t\t}\n\n\t\t// Converts a buffer to a string to store, serialized, in the backend\n\t\t// storage library.\n\t\tfunction bufferToString(buffer) {\n\t\t    // base64-arraybuffer\n\t\t    var bytes = new Uint8Array(buffer);\n\t\t    var base64String = '';\n\t\t    var i;\n\n\t\t    for (i = 0; i < bytes.length; i += 3) {\n\t\t        /*jslint bitwise: true */\n\t\t        base64String += BASE_CHARS[bytes[i] >> 2];\n\t\t        base64String += BASE_CHARS[(bytes[i] & 3) << 4 | bytes[i + 1] >> 4];\n\t\t        base64String += BASE_CHARS[(bytes[i + 1] & 15) << 2 | bytes[i + 2] >> 6];\n\t\t        base64String += BASE_CHARS[bytes[i + 2] & 63];\n\t\t    }\n\n\t\t    if (bytes.length % 3 === 2) {\n\t\t        base64String = base64String.substring(0, base64String.length - 1) + '=';\n\t\t    } else if (bytes.length % 3 === 1) {\n\t\t        base64String = base64String.substring(0, base64String.length - 2) + '==';\n\t\t    }\n\n\t\t    return base64String;\n\t\t}\n\n\t\t// Serialize a value, afterwards executing a callback (which usually\n\t\t// instructs the `setItem()` callback/promise to be executed). This is how\n\t\t// we store binary data with localStorage.\n\t\tfunction serialize(value, callback) {\n\t\t    var valueType = '';\n\t\t    if (value) {\n\t\t        valueType = toString$1.call(value);\n\t\t    }\n\n\t\t    // Cannot use `value instanceof ArrayBuffer` or such here, as these\n\t\t    // checks fail when running the tests using casper.js...\n\t\t    //\n\t\t    // TODO: See why those tests fail and use a better solution.\n\t\t    if (value && (valueType === '[object ArrayBuffer]' || value.buffer && toString$1.call(value.buffer) === '[object ArrayBuffer]')) {\n\t\t        // Convert binary arrays to a string and prefix the string with\n\t\t        // a special marker.\n\t\t        var buffer;\n\t\t        var marker = SERIALIZED_MARKER;\n\n\t\t        if (value instanceof ArrayBuffer) {\n\t\t            buffer = value;\n\t\t            marker += TYPE_ARRAYBUFFER;\n\t\t        } else {\n\t\t            buffer = value.buffer;\n\n\t\t            if (valueType === '[object Int8Array]') {\n\t\t                marker += TYPE_INT8ARRAY;\n\t\t            } else if (valueType === '[object Uint8Array]') {\n\t\t                marker += TYPE_UINT8ARRAY;\n\t\t            } else if (valueType === '[object Uint8ClampedArray]') {\n\t\t                marker += TYPE_UINT8CLAMPEDARRAY;\n\t\t            } else if (valueType === '[object Int16Array]') {\n\t\t                marker += TYPE_INT16ARRAY;\n\t\t            } else if (valueType === '[object Uint16Array]') {\n\t\t                marker += TYPE_UINT16ARRAY;\n\t\t            } else if (valueType === '[object Int32Array]') {\n\t\t                marker += TYPE_INT32ARRAY;\n\t\t            } else if (valueType === '[object Uint32Array]') {\n\t\t                marker += TYPE_UINT32ARRAY;\n\t\t            } else if (valueType === '[object Float32Array]') {\n\t\t                marker += TYPE_FLOAT32ARRAY;\n\t\t            } else if (valueType === '[object Float64Array]') {\n\t\t                marker += TYPE_FLOAT64ARRAY;\n\t\t            } else {\n\t\t                callback(new Error('Failed to get type for BinaryArray'));\n\t\t            }\n\t\t        }\n\n\t\t        callback(marker + bufferToString(buffer));\n\t\t    } else if (valueType === '[object Blob]') {\n\t\t        // Conver the blob to a binaryArray and then to a string.\n\t\t        var fileReader = new FileReader();\n\n\t\t        fileReader.onload = function () {\n\t\t            // Backwards-compatible prefix for the blob type.\n\t\t            var str = BLOB_TYPE_PREFIX + value.type + '~' + bufferToString(this.result);\n\n\t\t            callback(SERIALIZED_MARKER + TYPE_BLOB + str);\n\t\t        };\n\n\t\t        fileReader.readAsArrayBuffer(value);\n\t\t    } else {\n\t\t        try {\n\t\t            callback(JSON.stringify(value));\n\t\t        } catch (e) {\n\t\t            console.error(\"Couldn't convert value into a JSON string: \", value);\n\n\t\t            callback(null, e);\n\t\t        }\n\t\t    }\n\t\t}\n\n\t\t// Deserialize data we've inserted into a value column/field. We place\n\t\t// special markers into our strings to mark them as encoded; this isn't\n\t\t// as nice as a meta field, but it's the only sane thing we can do whilst\n\t\t// keeping localStorage support intact.\n\t\t//\n\t\t// Oftentimes this will just deserialize JSON content, but if we have a\n\t\t// special marker (SERIALIZED_MARKER, defined above), we will extract\n\t\t// some kind of arraybuffer/binary data/typed array out of the string.\n\t\tfunction deserialize(value) {\n\t\t    // If we haven't marked this string as being specially serialized (i.e.\n\t\t    // something other than serialized JSON), we can just return it and be\n\t\t    // done with it.\n\t\t    if (value.substring(0, SERIALIZED_MARKER_LENGTH) !== SERIALIZED_MARKER) {\n\t\t        return JSON.parse(value);\n\t\t    }\n\n\t\t    // The following code deals with deserializing some kind of Blob or\n\t\t    // TypedArray. First we separate out the type of data we're dealing\n\t\t    // with from the data itself.\n\t\t    var serializedString = value.substring(TYPE_SERIALIZED_MARKER_LENGTH);\n\t\t    var type = value.substring(SERIALIZED_MARKER_LENGTH, TYPE_SERIALIZED_MARKER_LENGTH);\n\n\t\t    var blobType;\n\t\t    // Backwards-compatible blob type serialization strategy.\n\t\t    // DBs created with older versions of localForage will simply not have the blob type.\n\t\t    if (type === TYPE_BLOB && BLOB_TYPE_PREFIX_REGEX.test(serializedString)) {\n\t\t        var matcher = serializedString.match(BLOB_TYPE_PREFIX_REGEX);\n\t\t        blobType = matcher[1];\n\t\t        serializedString = serializedString.substring(matcher[0].length);\n\t\t    }\n\t\t    var buffer = stringToBuffer(serializedString);\n\n\t\t    // Return the right type based on the code/type set during\n\t\t    // serialization.\n\t\t    switch (type) {\n\t\t        case TYPE_ARRAYBUFFER:\n\t\t            return buffer;\n\t\t        case TYPE_BLOB:\n\t\t            return createBlob([buffer], { type: blobType });\n\t\t        case TYPE_INT8ARRAY:\n\t\t            return new Int8Array(buffer);\n\t\t        case TYPE_UINT8ARRAY:\n\t\t            return new Uint8Array(buffer);\n\t\t        case TYPE_UINT8CLAMPEDARRAY:\n\t\t            return new Uint8ClampedArray(buffer);\n\t\t        case TYPE_INT16ARRAY:\n\t\t            return new Int16Array(buffer);\n\t\t        case TYPE_UINT16ARRAY:\n\t\t            return new Uint16Array(buffer);\n\t\t        case TYPE_INT32ARRAY:\n\t\t            return new Int32Array(buffer);\n\t\t        case TYPE_UINT32ARRAY:\n\t\t            return new Uint32Array(buffer);\n\t\t        case TYPE_FLOAT32ARRAY:\n\t\t            return new Float32Array(buffer);\n\t\t        case TYPE_FLOAT64ARRAY:\n\t\t            return new Float64Array(buffer);\n\t\t        default:\n\t\t            throw new Error('Unkown type: ' + type);\n\t\t    }\n\t\t}\n\n\t\tvar localforageSerializer = {\n\t\t    serialize: serialize,\n\t\t    deserialize: deserialize,\n\t\t    stringToBuffer: stringToBuffer,\n\t\t    bufferToString: bufferToString\n\t\t};\n\n\t\t/*\n\t\t * Includes code from:\n\t\t *\n\t\t * base64-arraybuffer\n\t\t * https://github.com/niklasvh/base64-arraybuffer\n\t\t *\n\t\t * Copyright (c) 2012 Niklas von Hertzen\n\t\t * Licensed under the MIT license.\n\t\t */\n\n\t\tfunction createDbTable(t, dbInfo, callback, errorCallback) {\n\t\t    t.executeSql('CREATE TABLE IF NOT EXISTS ' + dbInfo.storeName + ' ' + '(id INTEGER PRIMARY KEY, key unique, value)', [], callback, errorCallback);\n\t\t}\n\n\t\t// Open the WebSQL database (automatically creates one if one didn't\n\t\t// previously exist), using any options set in the config.\n\t\tfunction _initStorage$1(options) {\n\t\t    var self = this;\n\t\t    var dbInfo = {\n\t\t        db: null\n\t\t    };\n\n\t\t    if (options) {\n\t\t        for (var i in options) {\n\t\t            dbInfo[i] = typeof options[i] !== 'string' ? options[i].toString() : options[i];\n\t\t        }\n\t\t    }\n\n\t\t    var dbInfoPromise = new Promise$1(function (resolve, reject) {\n\t\t        // Open the database; the openDatabase API will automatically\n\t\t        // create it for us if it doesn't exist.\n\t\t        try {\n\t\t            dbInfo.db = openDatabase(dbInfo.name, String(dbInfo.version), dbInfo.description, dbInfo.size);\n\t\t        } catch (e) {\n\t\t            return reject(e);\n\t\t        }\n\n\t\t        // Create our key/value table if it doesn't exist.\n\t\t        dbInfo.db.transaction(function (t) {\n\t\t            createDbTable(t, dbInfo, function () {\n\t\t                self._dbInfo = dbInfo;\n\t\t                resolve();\n\t\t            }, function (t, error) {\n\t\t                reject(error);\n\t\t            });\n\t\t        }, reject);\n\t\t    });\n\n\t\t    dbInfo.serializer = localforageSerializer;\n\t\t    return dbInfoPromise;\n\t\t}\n\n\t\tfunction tryExecuteSql(t, dbInfo, sqlStatement, args, callback, errorCallback) {\n\t\t    t.executeSql(sqlStatement, args, callback, function (t, error) {\n\t\t        if (error.code === error.SYNTAX_ERR) {\n\t\t            t.executeSql('SELECT name FROM sqlite_master ' + \"WHERE type='table' AND name = ?\", [dbInfo.storeName], function (t, results) {\n\t\t                if (!results.rows.length) {\n\t\t                    // if the table is missing (was deleted)\n\t\t                    // re-create it table and retry\n\t\t                    createDbTable(t, dbInfo, function () {\n\t\t                        t.executeSql(sqlStatement, args, callback, errorCallback);\n\t\t                    }, errorCallback);\n\t\t                } else {\n\t\t                    errorCallback(t, error);\n\t\t                }\n\t\t            }, errorCallback);\n\t\t        } else {\n\t\t            errorCallback(t, error);\n\t\t        }\n\t\t    }, errorCallback);\n\t\t}\n\n\t\tfunction getItem$1(key, callback) {\n\t\t    var self = this;\n\n\t\t    key = normalizeKey(key);\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            var dbInfo = self._dbInfo;\n\t\t            dbInfo.db.transaction(function (t) {\n\t\t                tryExecuteSql(t, dbInfo, 'SELECT * FROM ' + dbInfo.storeName + ' WHERE key = ? LIMIT 1', [key], function (t, results) {\n\t\t                    var result = results.rows.length ? results.rows.item(0).value : null;\n\n\t\t                    // Check to see if this is serialized content we need to\n\t\t                    // unpack.\n\t\t                    if (result) {\n\t\t                        result = dbInfo.serializer.deserialize(result);\n\t\t                    }\n\n\t\t                    resolve(result);\n\t\t                }, function (t, error) {\n\t\t                    reject(error);\n\t\t                });\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction iterate$1(iterator, callback) {\n\t\t    var self = this;\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            var dbInfo = self._dbInfo;\n\n\t\t            dbInfo.db.transaction(function (t) {\n\t\t                tryExecuteSql(t, dbInfo, 'SELECT * FROM ' + dbInfo.storeName, [], function (t, results) {\n\t\t                    var rows = results.rows;\n\t\t                    var length = rows.length;\n\n\t\t                    for (var i = 0; i < length; i++) {\n\t\t                        var item = rows.item(i);\n\t\t                        var result = item.value;\n\n\t\t                        // Check to see if this is serialized content\n\t\t                        // we need to unpack.\n\t\t                        if (result) {\n\t\t                            result = dbInfo.serializer.deserialize(result);\n\t\t                        }\n\n\t\t                        result = iterator(result, item.key, i + 1);\n\n\t\t                        // void(0) prevents problems with redefinition\n\t\t                        // of `undefined`.\n\t\t                        if (result !== void 0) {\n\t\t                            resolve(result);\n\t\t                            return;\n\t\t                        }\n\t\t                    }\n\n\t\t                    resolve();\n\t\t                }, function (t, error) {\n\t\t                    reject(error);\n\t\t                });\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction _setItem(key, value, callback, retriesLeft) {\n\t\t    var self = this;\n\n\t\t    key = normalizeKey(key);\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            // The localStorage API doesn't return undefined values in an\n\t\t            // \"expected\" way, so undefined is always cast to null in all\n\t\t            // drivers. See: https://github.com/mozilla/localForage/pull/42\n\t\t            if (value === undefined) {\n\t\t                value = null;\n\t\t            }\n\n\t\t            // Save the original value to pass to the callback.\n\t\t            var originalValue = value;\n\n\t\t            var dbInfo = self._dbInfo;\n\t\t            dbInfo.serializer.serialize(value, function (value, error) {\n\t\t                if (error) {\n\t\t                    reject(error);\n\t\t                } else {\n\t\t                    dbInfo.db.transaction(function (t) {\n\t\t                        tryExecuteSql(t, dbInfo, 'INSERT OR REPLACE INTO ' + dbInfo.storeName + ' ' + '(key, value) VALUES (?, ?)', [key, value], function () {\n\t\t                            resolve(originalValue);\n\t\t                        }, function (t, error) {\n\t\t                            reject(error);\n\t\t                        });\n\t\t                    }, function (sqlError) {\n\t\t                        // The transaction failed; check\n\t\t                        // to see if it's a quota error.\n\t\t                        if (sqlError.code === sqlError.QUOTA_ERR) {\n\t\t                            // We reject the callback outright for now, but\n\t\t                            // it's worth trying to re-run the transaction.\n\t\t                            // Even if the user accepts the prompt to use\n\t\t                            // more storage on Safari, this error will\n\t\t                            // be called.\n\t\t                            //\n\t\t                            // Try to re-run the transaction.\n\t\t                            if (retriesLeft > 0) {\n\t\t                                resolve(_setItem.apply(self, [key, originalValue, callback, retriesLeft - 1]));\n\t\t                                return;\n\t\t                            }\n\t\t                            reject(sqlError);\n\t\t                        }\n\t\t                    });\n\t\t                }\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction setItem$1(key, value, callback) {\n\t\t    return _setItem.apply(this, [key, value, callback, 1]);\n\t\t}\n\n\t\tfunction removeItem$1(key, callback) {\n\t\t    var self = this;\n\n\t\t    key = normalizeKey(key);\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            var dbInfo = self._dbInfo;\n\t\t            dbInfo.db.transaction(function (t) {\n\t\t                tryExecuteSql(t, dbInfo, 'DELETE FROM ' + dbInfo.storeName + ' WHERE key = ?', [key], function () {\n\t\t                    resolve();\n\t\t                }, function (t, error) {\n\t\t                    reject(error);\n\t\t                });\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Deletes every item in the table.\n\t\t// TODO: Find out if this resets the AUTO_INCREMENT number.\n\t\tfunction clear$1(callback) {\n\t\t    var self = this;\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            var dbInfo = self._dbInfo;\n\t\t            dbInfo.db.transaction(function (t) {\n\t\t                tryExecuteSql(t, dbInfo, 'DELETE FROM ' + dbInfo.storeName, [], function () {\n\t\t                    resolve();\n\t\t                }, function (t, error) {\n\t\t                    reject(error);\n\t\t                });\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Does a simple `COUNT(key)` to get the number of items stored in\n\t\t// localForage.\n\t\tfunction length$1(callback) {\n\t\t    var self = this;\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            var dbInfo = self._dbInfo;\n\t\t            dbInfo.db.transaction(function (t) {\n\t\t                // Ahhh, SQL makes this one soooooo easy.\n\t\t                tryExecuteSql(t, dbInfo, 'SELECT COUNT(key) as c FROM ' + dbInfo.storeName, [], function (t, results) {\n\t\t                    var result = results.rows.item(0).c;\n\t\t                    resolve(result);\n\t\t                }, function (t, error) {\n\t\t                    reject(error);\n\t\t                });\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Return the key located at key index X; essentially gets the key from a\n\t\t// `WHERE id = ?`. This is the most efficient way I can think to implement\n\t\t// this rarely-used (in my experience) part of the API, but it can seem\n\t\t// inconsistent, because we do `INSERT OR REPLACE INTO` on `setItem()`, so\n\t\t// the ID of each key will change every time it's updated. Perhaps a stored\n\t\t// procedure for the `setItem()` SQL would solve this problem?\n\t\t// TODO: Don't change ID on `setItem()`.\n\t\tfunction key$1(n, callback) {\n\t\t    var self = this;\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            var dbInfo = self._dbInfo;\n\t\t            dbInfo.db.transaction(function (t) {\n\t\t                tryExecuteSql(t, dbInfo, 'SELECT key FROM ' + dbInfo.storeName + ' WHERE id = ? LIMIT 1', [n + 1], function (t, results) {\n\t\t                    var result = results.rows.length ? results.rows.item(0).key : null;\n\t\t                    resolve(result);\n\t\t                }, function (t, error) {\n\t\t                    reject(error);\n\t\t                });\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction keys$1(callback) {\n\t\t    var self = this;\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            var dbInfo = self._dbInfo;\n\t\t            dbInfo.db.transaction(function (t) {\n\t\t                tryExecuteSql(t, dbInfo, 'SELECT key FROM ' + dbInfo.storeName, [], function (t, results) {\n\t\t                    var keys = [];\n\n\t\t                    for (var i = 0; i < results.rows.length; i++) {\n\t\t                        keys.push(results.rows.item(i).key);\n\t\t                    }\n\n\t\t                    resolve(keys);\n\t\t                }, function (t, error) {\n\t\t                    reject(error);\n\t\t                });\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// https://www.w3.org/TR/webdatabase/#databases\n\t\t// > There is no way to enumerate or delete the databases available for an origin from this API.\n\t\tfunction getAllStoreNames(db) {\n\t\t    return new Promise$1(function (resolve, reject) {\n\t\t        db.transaction(function (t) {\n\t\t            t.executeSql('SELECT name FROM sqlite_master ' + \"WHERE type='table' AND name <> '__WebKitDatabaseInfoTable__'\", [], function (t, results) {\n\t\t                var storeNames = [];\n\n\t\t                for (var i = 0; i < results.rows.length; i++) {\n\t\t                    storeNames.push(results.rows.item(i).name);\n\t\t                }\n\n\t\t                resolve({\n\t\t                    db: db,\n\t\t                    storeNames: storeNames\n\t\t                });\n\t\t            }, function (t, error) {\n\t\t                reject(error);\n\t\t            });\n\t\t        }, function (sqlError) {\n\t\t            reject(sqlError);\n\t\t        });\n\t\t    });\n\t\t}\n\n\t\tfunction dropInstance$1(options, callback) {\n\t\t    callback = getCallback.apply(this, arguments);\n\n\t\t    var currentConfig = this.config();\n\t\t    options = typeof options !== 'function' && options || {};\n\t\t    if (!options.name) {\n\t\t        options.name = options.name || currentConfig.name;\n\t\t        options.storeName = options.storeName || currentConfig.storeName;\n\t\t    }\n\n\t\t    var self = this;\n\t\t    var promise;\n\t\t    if (!options.name) {\n\t\t        promise = Promise$1.reject('Invalid arguments');\n\t\t    } else {\n\t\t        promise = new Promise$1(function (resolve) {\n\t\t            var db;\n\t\t            if (options.name === currentConfig.name) {\n\t\t                // use the db reference of the current instance\n\t\t                db = self._dbInfo.db;\n\t\t            } else {\n\t\t                db = openDatabase(options.name, '', '', 0);\n\t\t            }\n\n\t\t            if (!options.storeName) {\n\t\t                // drop all database tables\n\t\t                resolve(getAllStoreNames(db));\n\t\t            } else {\n\t\t                resolve({\n\t\t                    db: db,\n\t\t                    storeNames: [options.storeName]\n\t\t                });\n\t\t            }\n\t\t        }).then(function (operationInfo) {\n\t\t            return new Promise$1(function (resolve, reject) {\n\t\t                operationInfo.db.transaction(function (t) {\n\t\t                    function dropTable(storeName) {\n\t\t                        return new Promise$1(function (resolve, reject) {\n\t\t                            t.executeSql('DROP TABLE IF EXISTS ' + storeName, [], function () {\n\t\t                                resolve();\n\t\t                            }, function (t, error) {\n\t\t                                reject(error);\n\t\t                            });\n\t\t                        });\n\t\t                    }\n\n\t\t                    var operations = [];\n\t\t                    for (var i = 0, len = operationInfo.storeNames.length; i < len; i++) {\n\t\t                        operations.push(dropTable(operationInfo.storeNames[i]));\n\t\t                    }\n\n\t\t                    Promise$1.all(operations).then(function () {\n\t\t                        resolve();\n\t\t                    })[\"catch\"](function (e) {\n\t\t                        reject(e);\n\t\t                    });\n\t\t                }, function (sqlError) {\n\t\t                    reject(sqlError);\n\t\t                });\n\t\t            });\n\t\t        });\n\t\t    }\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tvar webSQLStorage = {\n\t\t    _driver: 'webSQLStorage',\n\t\t    _initStorage: _initStorage$1,\n\t\t    _support: isWebSQLValid(),\n\t\t    iterate: iterate$1,\n\t\t    getItem: getItem$1,\n\t\t    setItem: setItem$1,\n\t\t    removeItem: removeItem$1,\n\t\t    clear: clear$1,\n\t\t    length: length$1,\n\t\t    key: key$1,\n\t\t    keys: keys$1,\n\t\t    dropInstance: dropInstance$1\n\t\t};\n\n\t\tfunction isLocalStorageValid() {\n\t\t    try {\n\t\t        return typeof localStorage !== 'undefined' && 'setItem' in localStorage &&\n\t\t        // in IE8 typeof localStorage.setItem === 'object'\n\t\t        !!localStorage.setItem;\n\t\t    } catch (e) {\n\t\t        return false;\n\t\t    }\n\t\t}\n\n\t\tfunction _getKeyPrefix(options, defaultConfig) {\n\t\t    var keyPrefix = options.name + '/';\n\n\t\t    if (options.storeName !== defaultConfig.storeName) {\n\t\t        keyPrefix += options.storeName + '/';\n\t\t    }\n\t\t    return keyPrefix;\n\t\t}\n\n\t\t// Check if localStorage throws when saving an item\n\t\tfunction checkIfLocalStorageThrows() {\n\t\t    var localStorageTestKey = '_localforage_support_test';\n\n\t\t    try {\n\t\t        localStorage.setItem(localStorageTestKey, true);\n\t\t        localStorage.removeItem(localStorageTestKey);\n\n\t\t        return false;\n\t\t    } catch (e) {\n\t\t        return true;\n\t\t    }\n\t\t}\n\n\t\t// Check if localStorage is usable and allows to save an item\n\t\t// This method checks if localStorage is usable in Safari Private Browsing\n\t\t// mode, or in any other case where the available quota for localStorage\n\t\t// is 0 and there wasn't any saved items yet.\n\t\tfunction _isLocalStorageUsable() {\n\t\t    return !checkIfLocalStorageThrows() || localStorage.length > 0;\n\t\t}\n\n\t\t// Config the localStorage backend, using options set in the config.\n\t\tfunction _initStorage$2(options) {\n\t\t    var self = this;\n\t\t    var dbInfo = {};\n\t\t    if (options) {\n\t\t        for (var i in options) {\n\t\t            dbInfo[i] = options[i];\n\t\t        }\n\t\t    }\n\n\t\t    dbInfo.keyPrefix = _getKeyPrefix(options, self._defaultConfig);\n\n\t\t    if (!_isLocalStorageUsable()) {\n\t\t        return Promise$1.reject();\n\t\t    }\n\n\t\t    self._dbInfo = dbInfo;\n\t\t    dbInfo.serializer = localforageSerializer;\n\n\t\t    return Promise$1.resolve();\n\t\t}\n\n\t\t// Remove all keys from the datastore, effectively destroying all data in\n\t\t// the app's key/value store!\n\t\tfunction clear$2(callback) {\n\t\t    var self = this;\n\t\t    var promise = self.ready().then(function () {\n\t\t        var keyPrefix = self._dbInfo.keyPrefix;\n\n\t\t        for (var i = localStorage.length - 1; i >= 0; i--) {\n\t\t            var key = localStorage.key(i);\n\n\t\t            if (key.indexOf(keyPrefix) === 0) {\n\t\t                localStorage.removeItem(key);\n\t\t            }\n\t\t        }\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Retrieve an item from the store. Unlike the original async_storage\n\t\t// library in Gaia, we don't modify return values at all. If a key's value\n\t\t// is `undefined`, we pass that value to the callback function.\n\t\tfunction getItem$2(key, callback) {\n\t\t    var self = this;\n\n\t\t    key = normalizeKey(key);\n\n\t\t    var promise = self.ready().then(function () {\n\t\t        var dbInfo = self._dbInfo;\n\t\t        var result = localStorage.getItem(dbInfo.keyPrefix + key);\n\n\t\t        // If a result was found, parse it from the serialized\n\t\t        // string into a JS object. If result isn't truthy, the key\n\t\t        // is likely undefined and we'll pass it straight to the\n\t\t        // callback.\n\t\t        if (result) {\n\t\t            result = dbInfo.serializer.deserialize(result);\n\t\t        }\n\n\t\t        return result;\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Iterate over all items in the store.\n\t\tfunction iterate$2(iterator, callback) {\n\t\t    var self = this;\n\n\t\t    var promise = self.ready().then(function () {\n\t\t        var dbInfo = self._dbInfo;\n\t\t        var keyPrefix = dbInfo.keyPrefix;\n\t\t        var keyPrefixLength = keyPrefix.length;\n\t\t        var length = localStorage.length;\n\n\t\t        // We use a dedicated iterator instead of the `i` variable below\n\t\t        // so other keys we fetch in localStorage aren't counted in\n\t\t        // the `iterationNumber` argument passed to the `iterate()`\n\t\t        // callback.\n\t\t        //\n\t\t        // See: github.com/mozilla/localForage/pull/435#discussion_r38061530\n\t\t        var iterationNumber = 1;\n\n\t\t        for (var i = 0; i < length; i++) {\n\t\t            var key = localStorage.key(i);\n\t\t            if (key.indexOf(keyPrefix) !== 0) {\n\t\t                continue;\n\t\t            }\n\t\t            var value = localStorage.getItem(key);\n\n\t\t            // If a result was found, parse it from the serialized\n\t\t            // string into a JS object. If result isn't truthy, the\n\t\t            // key is likely undefined and we'll pass it straight\n\t\t            // to the iterator.\n\t\t            if (value) {\n\t\t                value = dbInfo.serializer.deserialize(value);\n\t\t            }\n\n\t\t            value = iterator(value, key.substring(keyPrefixLength), iterationNumber++);\n\n\t\t            if (value !== void 0) {\n\t\t                return value;\n\t\t            }\n\t\t        }\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Same as localStorage's key() method, except takes a callback.\n\t\tfunction key$2(n, callback) {\n\t\t    var self = this;\n\t\t    var promise = self.ready().then(function () {\n\t\t        var dbInfo = self._dbInfo;\n\t\t        var result;\n\t\t        try {\n\t\t            result = localStorage.key(n);\n\t\t        } catch (error) {\n\t\t            result = null;\n\t\t        }\n\n\t\t        // Remove the prefix from the key, if a key is found.\n\t\t        if (result) {\n\t\t            result = result.substring(dbInfo.keyPrefix.length);\n\t\t        }\n\n\t\t        return result;\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction keys$2(callback) {\n\t\t    var self = this;\n\t\t    var promise = self.ready().then(function () {\n\t\t        var dbInfo = self._dbInfo;\n\t\t        var length = localStorage.length;\n\t\t        var keys = [];\n\n\t\t        for (var i = 0; i < length; i++) {\n\t\t            var itemKey = localStorage.key(i);\n\t\t            if (itemKey.indexOf(dbInfo.keyPrefix) === 0) {\n\t\t                keys.push(itemKey.substring(dbInfo.keyPrefix.length));\n\t\t            }\n\t\t        }\n\n\t\t        return keys;\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Supply the number of keys in the datastore to the callback function.\n\t\tfunction length$2(callback) {\n\t\t    var self = this;\n\t\t    var promise = self.keys().then(function (keys) {\n\t\t        return keys.length;\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Remove an item from the store, nice and simple.\n\t\tfunction removeItem$2(key, callback) {\n\t\t    var self = this;\n\n\t\t    key = normalizeKey(key);\n\n\t\t    var promise = self.ready().then(function () {\n\t\t        var dbInfo = self._dbInfo;\n\t\t        localStorage.removeItem(dbInfo.keyPrefix + key);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Set a key's value and run an optional callback once the value is set.\n\t\t// Unlike Gaia's implementation, the callback function is passed the value,\n\t\t// in case you want to operate on that value only after you're sure it\n\t\t// saved, or something like that.\n\t\tfunction setItem$2(key, value, callback) {\n\t\t    var self = this;\n\n\t\t    key = normalizeKey(key);\n\n\t\t    var promise = self.ready().then(function () {\n\t\t        // Convert undefined values to null.\n\t\t        // https://github.com/mozilla/localForage/pull/42\n\t\t        if (value === undefined) {\n\t\t            value = null;\n\t\t        }\n\n\t\t        // Save the original value to pass to the callback.\n\t\t        var originalValue = value;\n\n\t\t        return new Promise$1(function (resolve, reject) {\n\t\t            var dbInfo = self._dbInfo;\n\t\t            dbInfo.serializer.serialize(value, function (value, error) {\n\t\t                if (error) {\n\t\t                    reject(error);\n\t\t                } else {\n\t\t                    try {\n\t\t                        localStorage.setItem(dbInfo.keyPrefix + key, value);\n\t\t                        resolve(originalValue);\n\t\t                    } catch (e) {\n\t\t                        // localStorage capacity exceeded.\n\t\t                        // TODO: Make this a specific error/event.\n\t\t                        if (e.name === 'QuotaExceededError' || e.name === 'NS_ERROR_DOM_QUOTA_REACHED') {\n\t\t                            reject(e);\n\t\t                        }\n\t\t                        reject(e);\n\t\t                    }\n\t\t                }\n\t\t            });\n\t\t        });\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction dropInstance$2(options, callback) {\n\t\t    callback = getCallback.apply(this, arguments);\n\n\t\t    options = typeof options !== 'function' && options || {};\n\t\t    if (!options.name) {\n\t\t        var currentConfig = this.config();\n\t\t        options.name = options.name || currentConfig.name;\n\t\t        options.storeName = options.storeName || currentConfig.storeName;\n\t\t    }\n\n\t\t    var self = this;\n\t\t    var promise;\n\t\t    if (!options.name) {\n\t\t        promise = Promise$1.reject('Invalid arguments');\n\t\t    } else {\n\t\t        promise = new Promise$1(function (resolve) {\n\t\t            if (!options.storeName) {\n\t\t                resolve(options.name + '/');\n\t\t            } else {\n\t\t                resolve(_getKeyPrefix(options, self._defaultConfig));\n\t\t            }\n\t\t        }).then(function (keyPrefix) {\n\t\t            for (var i = localStorage.length - 1; i >= 0; i--) {\n\t\t                var key = localStorage.key(i);\n\n\t\t                if (key.indexOf(keyPrefix) === 0) {\n\t\t                    localStorage.removeItem(key);\n\t\t                }\n\t\t            }\n\t\t        });\n\t\t    }\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tvar localStorageWrapper = {\n\t\t    _driver: 'localStorageWrapper',\n\t\t    _initStorage: _initStorage$2,\n\t\t    _support: isLocalStorageValid(),\n\t\t    iterate: iterate$2,\n\t\t    getItem: getItem$2,\n\t\t    setItem: setItem$2,\n\t\t    removeItem: removeItem$2,\n\t\t    clear: clear$2,\n\t\t    length: length$2,\n\t\t    key: key$2,\n\t\t    keys: keys$2,\n\t\t    dropInstance: dropInstance$2\n\t\t};\n\n\t\tvar sameValue = function sameValue(x, y) {\n\t\t    return x === y || typeof x === 'number' && typeof y === 'number' && isNaN(x) && isNaN(y);\n\t\t};\n\n\t\tvar includes = function includes(array, searchElement) {\n\t\t    var len = array.length;\n\t\t    var i = 0;\n\t\t    while (i < len) {\n\t\t        if (sameValue(array[i], searchElement)) {\n\t\t            return true;\n\t\t        }\n\t\t        i++;\n\t\t    }\n\n\t\t    return false;\n\t\t};\n\n\t\tvar isArray = Array.isArray || function (arg) {\n\t\t    return Object.prototype.toString.call(arg) === '[object Array]';\n\t\t};\n\n\t\t// Drivers are stored here when `defineDriver()` is called.\n\t\t// They are shared across all instances of localForage.\n\t\tvar DefinedDrivers = {};\n\n\t\tvar DriverSupport = {};\n\n\t\tvar DefaultDrivers = {\n\t\t    INDEXEDDB: asyncStorage,\n\t\t    WEBSQL: webSQLStorage,\n\t\t    LOCALSTORAGE: localStorageWrapper\n\t\t};\n\n\t\tvar DefaultDriverOrder = [DefaultDrivers.INDEXEDDB._driver, DefaultDrivers.WEBSQL._driver, DefaultDrivers.LOCALSTORAGE._driver];\n\n\t\tvar OptionalDriverMethods = ['dropInstance'];\n\n\t\tvar LibraryMethods = ['clear', 'getItem', 'iterate', 'key', 'keys', 'length', 'removeItem', 'setItem'].concat(OptionalDriverMethods);\n\n\t\tvar DefaultConfig = {\n\t\t    description: '',\n\t\t    driver: DefaultDriverOrder.slice(),\n\t\t    name: 'localforage',\n\t\t    // Default DB size is _JUST UNDER_ 5MB, as it's the highest size\n\t\t    // we can use without a prompt.\n\t\t    size: 4980736,\n\t\t    storeName: 'keyvaluepairs',\n\t\t    version: 1.0\n\t\t};\n\n\t\tfunction callWhenReady(localForageInstance, libraryMethod) {\n\t\t    localForageInstance[libraryMethod] = function () {\n\t\t        var _args = arguments;\n\t\t        return localForageInstance.ready().then(function () {\n\t\t            return localForageInstance[libraryMethod].apply(localForageInstance, _args);\n\t\t        });\n\t\t    };\n\t\t}\n\n\t\tfunction extend() {\n\t\t    for (var i = 1; i < arguments.length; i++) {\n\t\t        var arg = arguments[i];\n\n\t\t        if (arg) {\n\t\t            for (var _key in arg) {\n\t\t                if (arg.hasOwnProperty(_key)) {\n\t\t                    if (isArray(arg[_key])) {\n\t\t                        arguments[0][_key] = arg[_key].slice();\n\t\t                    } else {\n\t\t                        arguments[0][_key] = arg[_key];\n\t\t                    }\n\t\t                }\n\t\t            }\n\t\t        }\n\t\t    }\n\n\t\t    return arguments[0];\n\t\t}\n\n\t\tvar LocalForage = function () {\n\t\t    function LocalForage(options) {\n\t\t        _classCallCheck(this, LocalForage);\n\n\t\t        for (var driverTypeKey in DefaultDrivers) {\n\t\t            if (DefaultDrivers.hasOwnProperty(driverTypeKey)) {\n\t\t                var driver = DefaultDrivers[driverTypeKey];\n\t\t                var driverName = driver._driver;\n\t\t                this[driverTypeKey] = driverName;\n\n\t\t                if (!DefinedDrivers[driverName]) {\n\t\t                    // we don't need to wait for the promise,\n\t\t                    // since the default drivers can be defined\n\t\t                    // in a blocking manner\n\t\t                    this.defineDriver(driver);\n\t\t                }\n\t\t            }\n\t\t        }\n\n\t\t        this._defaultConfig = extend({}, DefaultConfig);\n\t\t        this._config = extend({}, this._defaultConfig, options);\n\t\t        this._driverSet = null;\n\t\t        this._initDriver = null;\n\t\t        this._ready = false;\n\t\t        this._dbInfo = null;\n\n\t\t        this._wrapLibraryMethodsWithReady();\n\t\t        this.setDriver(this._config.driver)[\"catch\"](function () {});\n\t\t    }\n\n\t\t    // Set any config values for localForage; can be called anytime before\n\t\t    // the first API call (e.g. `getItem`, `setItem`).\n\t\t    // We loop through options so we don't overwrite existing config\n\t\t    // values.\n\n\n\t\t    LocalForage.prototype.config = function config(options) {\n\t\t        // If the options argument is an object, we use it to set values.\n\t\t        // Otherwise, we return either a specified config value or all\n\t\t        // config values.\n\t\t        if ((typeof options === 'undefined' ? 'undefined' : _typeof(options)) === 'object') {\n\t\t            // If localforage is ready and fully initialized, we can't set\n\t\t            // any new configuration values. Instead, we return an error.\n\t\t            if (this._ready) {\n\t\t                return new Error(\"Can't call config() after localforage \" + 'has been used.');\n\t\t            }\n\n\t\t            for (var i in options) {\n\t\t                if (i === 'storeName') {\n\t\t                    options[i] = options[i].replace(/\\W/g, '_');\n\t\t                }\n\n\t\t                if (i === 'version' && typeof options[i] !== 'number') {\n\t\t                    return new Error('Database version must be a number.');\n\t\t                }\n\n\t\t                this._config[i] = options[i];\n\t\t            }\n\n\t\t            // after all config options are set and\n\t\t            // the driver option is used, try setting it\n\t\t            if ('driver' in options && options.driver) {\n\t\t                return this.setDriver(this._config.driver);\n\t\t            }\n\n\t\t            return true;\n\t\t        } else if (typeof options === 'string') {\n\t\t            return this._config[options];\n\t\t        } else {\n\t\t            return this._config;\n\t\t        }\n\t\t    };\n\n\t\t    // Used to define a custom driver, shared across all instances of\n\t\t    // localForage.\n\n\n\t\t    LocalForage.prototype.defineDriver = function defineDriver(driverObject, callback, errorCallback) {\n\t\t        var promise = new Promise$1(function (resolve, reject) {\n\t\t            try {\n\t\t                var driverName = driverObject._driver;\n\t\t                var complianceError = new Error('Custom driver not compliant; see ' + 'https://mozilla.github.io/localForage/#definedriver');\n\n\t\t                // A driver name should be defined and not overlap with the\n\t\t                // library-defined, default drivers.\n\t\t                if (!driverObject._driver) {\n\t\t                    reject(complianceError);\n\t\t                    return;\n\t\t                }\n\n\t\t                var driverMethods = LibraryMethods.concat('_initStorage');\n\t\t                for (var i = 0, len = driverMethods.length; i < len; i++) {\n\t\t                    var driverMethodName = driverMethods[i];\n\n\t\t                    // when the property is there,\n\t\t                    // it should be a method even when optional\n\t\t                    var isRequired = !includes(OptionalDriverMethods, driverMethodName);\n\t\t                    if ((isRequired || driverObject[driverMethodName]) && typeof driverObject[driverMethodName] !== 'function') {\n\t\t                        reject(complianceError);\n\t\t                        return;\n\t\t                    }\n\t\t                }\n\n\t\t                var configureMissingMethods = function configureMissingMethods() {\n\t\t                    var methodNotImplementedFactory = function methodNotImplementedFactory(methodName) {\n\t\t                        return function () {\n\t\t                            var error = new Error('Method ' + methodName + ' is not implemented by the current driver');\n\t\t                            var promise = Promise$1.reject(error);\n\t\t                            executeCallback(promise, arguments[arguments.length - 1]);\n\t\t                            return promise;\n\t\t                        };\n\t\t                    };\n\n\t\t                    for (var _i = 0, _len = OptionalDriverMethods.length; _i < _len; _i++) {\n\t\t                        var optionalDriverMethod = OptionalDriverMethods[_i];\n\t\t                        if (!driverObject[optionalDriverMethod]) {\n\t\t                            driverObject[optionalDriverMethod] = methodNotImplementedFactory(optionalDriverMethod);\n\t\t                        }\n\t\t                    }\n\t\t                };\n\n\t\t                configureMissingMethods();\n\n\t\t                var setDriverSupport = function setDriverSupport(support) {\n\t\t                    if (DefinedDrivers[driverName]) {\n\t\t                        console.info('Redefining LocalForage driver: ' + driverName);\n\t\t                    }\n\t\t                    DefinedDrivers[driverName] = driverObject;\n\t\t                    DriverSupport[driverName] = support;\n\t\t                    // don't use a then, so that we can define\n\t\t                    // drivers that have simple _support methods\n\t\t                    // in a blocking manner\n\t\t                    resolve();\n\t\t                };\n\n\t\t                if ('_support' in driverObject) {\n\t\t                    if (driverObject._support && typeof driverObject._support === 'function') {\n\t\t                        driverObject._support().then(setDriverSupport, reject);\n\t\t                    } else {\n\t\t                        setDriverSupport(!!driverObject._support);\n\t\t                    }\n\t\t                } else {\n\t\t                    setDriverSupport(true);\n\t\t                }\n\t\t            } catch (e) {\n\t\t                reject(e);\n\t\t            }\n\t\t        });\n\n\t\t        executeTwoCallbacks(promise, callback, errorCallback);\n\t\t        return promise;\n\t\t    };\n\n\t\t    LocalForage.prototype.driver = function driver() {\n\t\t        return this._driver || null;\n\t\t    };\n\n\t\t    LocalForage.prototype.getDriver = function getDriver(driverName, callback, errorCallback) {\n\t\t        var getDriverPromise = DefinedDrivers[driverName] ? Promise$1.resolve(DefinedDrivers[driverName]) : Promise$1.reject(new Error('Driver not found.'));\n\n\t\t        executeTwoCallbacks(getDriverPromise, callback, errorCallback);\n\t\t        return getDriverPromise;\n\t\t    };\n\n\t\t    LocalForage.prototype.getSerializer = function getSerializer(callback) {\n\t\t        var serializerPromise = Promise$1.resolve(localforageSerializer);\n\t\t        executeTwoCallbacks(serializerPromise, callback);\n\t\t        return serializerPromise;\n\t\t    };\n\n\t\t    LocalForage.prototype.ready = function ready(callback) {\n\t\t        var self = this;\n\n\t\t        var promise = self._driverSet.then(function () {\n\t\t            if (self._ready === null) {\n\t\t                self._ready = self._initDriver();\n\t\t            }\n\n\t\t            return self._ready;\n\t\t        });\n\n\t\t        executeTwoCallbacks(promise, callback, callback);\n\t\t        return promise;\n\t\t    };\n\n\t\t    LocalForage.prototype.setDriver = function setDriver(drivers, callback, errorCallback) {\n\t\t        var self = this;\n\n\t\t        if (!isArray(drivers)) {\n\t\t            drivers = [drivers];\n\t\t        }\n\n\t\t        var supportedDrivers = this._getSupportedDrivers(drivers);\n\n\t\t        function setDriverToConfig() {\n\t\t            self._config.driver = self.driver();\n\t\t        }\n\n\t\t        function extendSelfWithDriver(driver) {\n\t\t            self._extend(driver);\n\t\t            setDriverToConfig();\n\n\t\t            self._ready = self._initStorage(self._config);\n\t\t            return self._ready;\n\t\t        }\n\n\t\t        function initDriver(supportedDrivers) {\n\t\t            return function () {\n\t\t                var currentDriverIndex = 0;\n\n\t\t                function driverPromiseLoop() {\n\t\t                    while (currentDriverIndex < supportedDrivers.length) {\n\t\t                        var driverName = supportedDrivers[currentDriverIndex];\n\t\t                        currentDriverIndex++;\n\n\t\t                        self._dbInfo = null;\n\t\t                        self._ready = null;\n\n\t\t                        return self.getDriver(driverName).then(extendSelfWithDriver)[\"catch\"](driverPromiseLoop);\n\t\t                    }\n\n\t\t                    setDriverToConfig();\n\t\t                    var error = new Error('No available storage method found.');\n\t\t                    self._driverSet = Promise$1.reject(error);\n\t\t                    return self._driverSet;\n\t\t                }\n\n\t\t                return driverPromiseLoop();\n\t\t            };\n\t\t        }\n\n\t\t        // There might be a driver initialization in progress\n\t\t        // so wait for it to finish in order to avoid a possible\n\t\t        // race condition to set _dbInfo\n\t\t        var oldDriverSetDone = this._driverSet !== null ? this._driverSet[\"catch\"](function () {\n\t\t            return Promise$1.resolve();\n\t\t        }) : Promise$1.resolve();\n\n\t\t        this._driverSet = oldDriverSetDone.then(function () {\n\t\t            var driverName = supportedDrivers[0];\n\t\t            self._dbInfo = null;\n\t\t            self._ready = null;\n\n\t\t            return self.getDriver(driverName).then(function (driver) {\n\t\t                self._driver = driver._driver;\n\t\t                setDriverToConfig();\n\t\t                self._wrapLibraryMethodsWithReady();\n\t\t                self._initDriver = initDriver(supportedDrivers);\n\t\t            });\n\t\t        })[\"catch\"](function () {\n\t\t            setDriverToConfig();\n\t\t            var error = new Error('No available storage method found.');\n\t\t            self._driverSet = Promise$1.reject(error);\n\t\t            return self._driverSet;\n\t\t        });\n\n\t\t        executeTwoCallbacks(this._driverSet, callback, errorCallback);\n\t\t        return this._driverSet;\n\t\t    };\n\n\t\t    LocalForage.prototype.supports = function supports(driverName) {\n\t\t        return !!DriverSupport[driverName];\n\t\t    };\n\n\t\t    LocalForage.prototype._extend = function _extend(libraryMethodsAndProperties) {\n\t\t        extend(this, libraryMethodsAndProperties);\n\t\t    };\n\n\t\t    LocalForage.prototype._getSupportedDrivers = function _getSupportedDrivers(drivers) {\n\t\t        var supportedDrivers = [];\n\t\t        for (var i = 0, len = drivers.length; i < len; i++) {\n\t\t            var driverName = drivers[i];\n\t\t            if (this.supports(driverName)) {\n\t\t                supportedDrivers.push(driverName);\n\t\t            }\n\t\t        }\n\t\t        return supportedDrivers;\n\t\t    };\n\n\t\t    LocalForage.prototype._wrapLibraryMethodsWithReady = function _wrapLibraryMethodsWithReady() {\n\t\t        // Add a stub for each driver API method that delays the call to the\n\t\t        // corresponding driver method until localForage is ready. These stubs\n\t\t        // will be replaced by the driver methods as soon as the driver is\n\t\t        // loaded, so there is no performance impact.\n\t\t        for (var i = 0, len = LibraryMethods.length; i < len; i++) {\n\t\t            callWhenReady(this, LibraryMethods[i]);\n\t\t        }\n\t\t    };\n\n\t\t    LocalForage.prototype.createInstance = function createInstance(options) {\n\t\t        return new LocalForage(options);\n\t\t    };\n\n\t\t    return LocalForage;\n\t\t}();\n\n\t\t// The actual localForage object that we expose as a module or via a\n\t\t// global. It's extended by pulling in one of our other libraries.\n\n\n\t\tvar localforage_js = new LocalForage();\n\n\t\tmodule.exports = localforage_js;\n\n\t\t},{\"3\":3}]},{},[4])(4)\n\t\t}); \n\t} (localforage$1));\n\treturn localforage$1.exports;\n}\n\nvar localforageExports = requireLocalforage();\nvar localforage = /*@__PURE__*/getDefaultExportFromCjs(localforageExports);\n\n// load all traits (paginated) and log stats about them to console  \nconst BASE = \"https://www.pgscatalog.org/rest\";\nconst TRAIT_SUMMARY_KEY$1 = \"PGS_Catalog:trait-summary\";\n\n// ---- small helpers ----\n\nasync function rawTraitArrayFromAPI({ pageSize = 50, maxPages = Infinity } = {}) {\n  let offset = 0;\n  let page = 0;\n  const all = [];\n  while (page < maxPages) {\n\t// console.log(\"rawTraitArrayFromAPI(), Fetching traits with pageSize:\", pageSize, \"maxPages:\", maxPages);\n\n    const url = `${BASE}/trait/all?format=json&limit=${pageSize}&offset=${offset}`;\n\t// console.log(\"rawTraitArrayFromAPI(), Requesting traits from URL:\", url);\n    // console.log(`traits****Requesting: ${url}`);\n    const r = await fetch(url);\n    if (!r.ok) throw new Error(`HTTP ${r.status} on ${url}`);\n    const data = await r.json();\n\n    const results = Array.isArray(data) ? data : (data.results ?? []);\n    if (!Array.isArray(results)) throw new Error(\"Unexpected trait response shape.\");\n\n    all.push(...results);\n    page += 1;\n\n    if (results.length === 0) break;\n    if (!Array.isArray(data) && data.next == null && results.length < pageSize) break;\n\n    offset += results.length;\n\t}\n// console.log(`rawTraitArrayFromAPI(), Completed fetching traits. Total fetched: ${all.length}, all:`, all);\n  return all;\n}\n\n\nasync function saveTraitSummary(summary) {\n\tawait localforage.setItem(TRAIT_SUMMARY_KEY$1, \n\t\t//savedAt: new Date().toISOString(),\n\t\tsummary\n\t);\n}\n\nasync function getStoredTraitSummary() {\n    // console.log(\"checking local cache for trait summary...\");\n\treturn localforage.getItem(TRAIT_SUMMARY_KEY$1);\n}\n\nfunction isCacheWithinMonths$1(savedAt, months = 3) {\n\tif (!savedAt) return false;\n\tconst savedDate = new Date(savedAt);\n\tif (Number.isNaN(savedDate.getTime())) return false;\n\n\tconst cutoff = new Date();\n\tcutoff.setMonth(cutoff.getMonth() - months);\n\n\treturn savedDate >= cutoff;\n}\n\n\n// ---- main function to load trait stats, with caching ----\n\nfunction computeSummary$1(traits) {//used in fetchDataAndRenderPlots()\n\t//const traits = await rawTraitArrayFromAPI({ pageSize: 200 });\n\t// console.log(\" computeSummary(traits), Computing trait summary for traits:\", traits.length);\t\n\tconst byCategory = new Map();\n\tconst traitDataByCategory = new Map();\n\tconst pgsIdsByCategory = new Map();\n\n\tconst getAssociatedPgsIds = (trait) => {\n\t\tif (!trait || typeof trait !== \"object\") return [];\n\n\t\tif (Array.isArray(trait.associated_pgs_ids)) return trait.associated_pgs_ids;\n\t\tif (Array.isArray(trait.pgs_ids)) return trait.pgs_ids;\n\n\t\tif (Array.isArray(trait.associated_pgs)) {\n\t\t\treturn trait.associated_pgs\n\t\t\t\t.map((item) => (typeof item === \"string\" ? item : item?.id ?? item?.pgs_id))\n\t\t\t\t.filter(Boolean);\n\t\t}\n\t\tif (Array.isArray(trait.scores)) {\n\t\t\treturn trait.scores\n\t\t\t\t.map((item) => (typeof item === \"string\" ? item : item?.id ?? item?.pgs_id))\n\t\t\t\t.filter(Boolean);\n\t\t}\n\n\t\treturn [];\n\t};\n\n\tfor (const trait of traits) {\n\t\t// console.log(\"Processing trait:\", trait);\n\t\tconst categories = Array.isArray(trait?.trait_categories) && trait.trait_categories.length\n\t\t\t? trait.trait_categories\n\t\t\t: [\"NR\"];\n\t\tconst associatedPgsIds = getAssociatedPgsIds(trait);\n\t\t// console.log(`Trait \"${trait?.label ?? trait?.name ?? trait?.id}\" categories:`, categories, \"associated PGS IDs:\", associatedPgsIds);\n\t\tfor (const category of categories) {\n\t\t\t//console.log(`Incrementing category count for: ${category}`);\t\n\t\t\tbyCategory.set(category, (byCategory.get(category) ?? 0) + 1);\n\t\t\tif (!traitDataByCategory.has(category)) {\n\t\t\t\ttraitDataByCategory.set(category, []);\n\t\t\t}\n\t\t\tif (!pgsIdsByCategory.has(category)) {\n\t\t\t\tpgsIdsByCategory.set(category, new Set());\n\t\t\t}\n\t\t\tconst categoryPgsSet = pgsIdsByCategory.get(category);\n\t\t\tfor (const pgsId of associatedPgsIds) {\n\t\t\t\tcategoryPgsSet.add(pgsId);\n\t\t\t}\n\t\t\ttraitDataByCategory.get(category).push({\n\t\t\t\tid: trait?.id ?? trait?.efo_id ?? null,\n\t\t\t\t// label: trait?.label ?? trait?.trait_label ?? trait?.name ?? \"NR\",\n\t\t\t\t// efo_id: trait?.efo_id ?? null,\n\t\t\t\tdata: trait, // include full traits for potential drill-down use\n\t\t\t\t// add other relevant fields as needed\n\t\t\t});\n\t\t\t//console.log(`Category \"${category}\" count is now: ${byCategory.get(category)}`);\t\n\t\t}\n\t}\n\n\tconst categories = [...byCategory.entries()]\n\t\t.sort((a, b) => b[1] - a[1])\n\t\t.map(([categoryName, count]) => ({\n\t\t\tcategory: categoryName,\n\t\t\t\"traits_count\": count,\n\t\t\t\"pgs_ids\": [...(pgsIdsByCategory.get(categoryName) ?? new Set())],\n\t\t\t\"pgs_ids_count\": pgsIdsByCategory.get(categoryName)?.size ?? 0,\n\t\t\t\"traits\": traitDataByCategory.get(categoryName) ?? [],\n\t\t}));\n\t\t//.slice(0, 10);\n\n\t// const totalAssociatedPgsIdsPerCategory = Object.fromEntries(\n\t// \t[...pgsIdsByCategory.entries()].map(([categoryName, pgsIdsSet]) => [\n\t// \t\tcategoryName,\n\t// \t\tpgsIdsSet.size,\n\t// \t])\n\t// );\n\n\treturn {\n        traits: traits,\n\t\t// totaltraits: traits.length,\n\t\t// totalCategories: byCategory.size,\n\t\t// totalAssociatedPgsIdsPerCategory,\n\t\tcategories,\n\t};\n}\nasync function fetchTraits() {\n\t// console.log(\"fetchTraits(), Loading fetchTraits()...\");\n\n\tconst cached = await getStoredTraitSummary();\n\t// console.log(\"fetchTraits(), Cached trait data available???\", cached);\n\n\ttry {\n\t\tif (cached?.summary && isCacheWithinMonths$1(cached.savedAt, 3)) {\n\t\t\treturn {\n\t\t\t\tsummary: cached.summary,\n\t\t\t\tsource: \"cache\",\n\t\t\t\tsavedAt: cached.savedAt,\n\t\t\t};\n\t\t}\n\n\t\tconst traits = await rawTraitArrayFromAPI({ pageSize: 200 });\n\t\t// console.log(\"###############fetchTraits(), Raw traits fetched:\", traits.length, traits);\n\t\tconst summary = await computeSummary$1(traits);\n\t\t// console.log('------------------------------');\n\t\t// console.log(\"Total traits fetched:\", traits.length);\n\t\t// console.log(\"Summary:\", summary);\n\n\t\tconst res = {\n\t\t\tsummary: summary,\n\t\t\tsource: \"live\",\n\t\t\tsavedAt: new Date().toISOString(),\n\t\t};\n\t\tawait saveTraitSummary(res);\n\t\treturn res;\n\t} catch (error) {\n\t\tif (cached?.summary) {\n\t\t\tconsole.error(error);\n\t\t\treturn {\n\t\t\t\tsummary: cached.summary,\n\t\t\t\tsource: \"cache-fallback\",\n\t\t\t\tsavedAt: cached.savedAt,\n\t\t\t\terror,\n\t\t\t};\n\t\t}\n\n\t\tthrow error;\n\t}\n}\n\n// Expose for dev console\nif (typeof window !== \"undefined\") {\n\t//window.rawTraitArrayFromAPI = rawTraitArrayFromAPI;\n\twindow.fetchTraits = fetchTraits;\n}\n\nconst PGS_BASE = \"https://www.pgscatalog.org/rest\";\n\nconst ALL_SCORE_SUMMARY_KEY = \"PGS_Catalog:all-score-summary\"; //fetchAllScores() & fetchSomeScores() uses this key to cache the full list of scores and their summary, which fetchSomeScores() can then use to source individual scores by ID without needing to fetch from network if cache is valid. Also used as source for getScoresPerTrait() / getScoresPerCategory() to link traits or categories to their specific scores and variants info, rather than relying on the more limited topTraits from the all-scores summary.\nconst TRAIT_SUMMARY_KEY = \"PGS_Catalog:trait-summary\"; // needed in getScoresPerTrait() and getScoresPerCategory()\nconst SCORES_PER_TRAIT_SUMMARY_KEY = \"PGS_Catalog:scores-per-trait-summary\"; // needed in getScoresPerTrait()\nconst SCORES_PER_CATEGORY_SUMMARY_KEY = \"PGS_Catalog:scores-per-category-summary\"; // needed in getScoresPerCategory()\n\nfunction quantile(sorted, q) {\n\tif (!sorted.length) return null;\n\tconst pos = (sorted.length - 1) * q;\n\tconst base = Math.floor(pos);\n\tconst rest = pos - base;\n\tif (sorted[base + 1] === undefined) return sorted[base];\n\treturn sorted[base] + rest * (sorted[base + 1] - sorted[base]);\n}\n\nasync function saveScoreSummary(results, key = ALL_SCORE_SUMMARY_KEY) {\n\tif (!localforage) return;\n\tawait localforage.setItem(key, {\n\t\tsavedAt: new Date().toISOString(),\n\t\tsummary: results.summary,\n\t\tscores: results.scores,\n\t});\n}\n\nasync function getStoredScoreSummary(key = ALL_SCORE_SUMMARY_KEY) {\n    // console.log(\"checking local cache for score summary...\");\n\tif (!localforage) return null;\n\treturn localforage.getItem(key);\n}\n\nfunction isCacheWithinMonths(savedAt, months = 3) {\n\tif (!savedAt) return false;\n\tconst savedDate = new Date(savedAt);\n\tif (Number.isNaN(savedDate.getTime())) return false;\n\n\tconst cutoff = new Date();\n\tcutoff.setMonth(cutoff.getMonth() - months);\n\treturn savedDate >= cutoff;\n}\n\nfunction getFetchAllScoresErrorMessage(error, context = {}) {\n\tconst { page, offset, pageSize, url, status } = context;\n\tconst locationParts = [];\n\tif (page != null) locationParts.push(`page ${page}`);\n\tif (offset != null) locationParts.push(`offset ${offset}`);\n\tif (pageSize != null) locationParts.push(`page size ${pageSize}`);\n\tconst locationText = locationParts.length ? ` PGS API failed at ${locationParts.join(\" / \")}.` : \"\";\n\tconst urlText = url ? ` Request URL: ${url}` : \"\";\n\tconst retryText = \" Try a smaller page size or use a server-side proxy.\";\n\n\tif (!error) {\n\t\treturn `Unable to load all PGS scores from the PGS Catalog.${locationText}${retryText}${urlText}`;\n\t}\n\n\tconst message = String(error?.message ?? error);\n\tif (\n\t\terror?.name === \"TypeError\"\n\t\t|| /failed to fetch/i.test(message)\n\t\t|| /networkerror/i.test(message)\n\t\t|| /load failed/i.test(message)\n\t\t|| /cors/i.test(message)\n\t) {\n\t\treturn `Unable to load all PGS scores from the PGS Catalog.${locationText} This may be due to a network issue, a CORS restriction, or the PGS API being temporarily unavailable.${retryText}${urlText}`;\n\t}\n\n\tif (status != null) {\n\t\treturn `Unable to load all PGS scores from the PGS Catalog.${locationText} The PGS API returned HTTP ${status}.${retryText}${urlText}`;\n\t}\n\n\treturn `Unable to load all PGS scores from the PGS Catalog.${locationText} ${message}.${retryText}${urlText}`;\n}\n\nfunction computeSummary(scores) {//Total scores fetched: 5296,Unique traits: 1,727\n\t/**\n\t * Build aggregate score summary metrics and trait-level mappings.\n\t * @param {object[]} scores\n\t * @returns {{\n\t * totalScores:number,\n\t * uniqueTraits:number,\n\t * variants:{min:number|null,max:number|null,mean:number|null,median:number|null},\n\t * topTraits:Array,\n\t * traitToPgsIds:Object,\n\t * traitVariantRange:Object,\n\t * releaseYears:Array\n\t * }}\n\t */\n\tconst byTrait = new Map();\n\tconst byTraitPgsIds = new Map();\n\tconst byTraitVariants = new Map();\n\tconst byReleaseYear = new Map();\n\n\tconst variants = scores\n\t\t.map((item) => Number(item.variants_number))\n\t\t.filter((v) => Number.isFinite(v))\n\t\t.sort((a, b) => a - b);\n\n\tfor (const score of scores) {\n\t\tconst trait = score.trait_reported ?? \"NR\";\n\t\tconst scoreVariants = Number(score?.variants_number);\n\t\t// console.log(`Processing score ID ${score.id}, trait_reported: ${trait}`);\n\t\tbyTrait.set(trait, (byTrait.get(trait) ?? 0) + 1);\n\t\tif (!byTraitPgsIds.has(trait)) {\n\t\t\tbyTraitPgsIds.set(trait, new Set());\n\t\t}\n\t\tif (score?.id) {\n\t\t\tbyTraitPgsIds.get(trait).add(score.id);\n\t\t}\n\t\tif (Number.isFinite(scoreVariants)) {\n\t\t\tif (!byTraitVariants.has(trait)) {\n\t\t\t\tbyTraitVariants.set(trait, {\n\t\t\t\t\tmin: scoreVariants,\n\t\t\t\t\tmax: scoreVariants,\n\t\t\t\t});\n\t\t\t} else {\n\t\t\t\tconst current = byTraitVariants.get(trait);\n\t\t\t\tcurrent.min = Math.min(current.min, scoreVariants);\n\t\t\t\tcurrent.max = Math.max(current.max, scoreVariants);\n\t\t\t}\n\t\t}\n\n\t\tconst yearMatch = (score.date_release ?? \"\").match(/^(\\d{4})/);\n\t\tif (yearMatch) {\n\t\t\tconst y = yearMatch[1];\n\t\t\tbyReleaseYear.set(y, (byReleaseYear.get(y) ?? 0) + 1);\n\t\t}\n\t}\n\n\tconst topTraits = [...byTrait.entries()]\n\t\t.sort((a, b) => b[1] - a[1])\n\t\t.slice(0, 50);\n\n\tconst traitToPgsIds = Object.fromEntries(\n\t\t[...byTrait.entries()]\n\t\t\t.sort((a, b) => b[1] - a[1])\n\t\t\t.map(([trait]) => [trait, [...(byTraitPgsIds.get(trait) ?? new Set())]])\n\t);\n\n\tconst releaseYears = [...byReleaseYear.entries()]\n\t\t.sort((a, b) => Number(a[0]) - Number(b[0]));\n\n\tconst traitVariantRange = Object.fromEntries(\n\t\t[...byTraitVariants.entries()].map(([trait, range]) => [\n\t\t\ttrait,\n\t\t\t{ min: range.min, max: range.max },\n\t\t])\n\t);\n\n\t// console.log(\"topTraits:\", [...byTrait.entries()].sort((a, b) => b[1] - a[1]));\n\t//console.log(\"traitToPgsIds:\", traitToPgsIds);\n\t\n\t\treturn {\n\t\ttotalScores: scores.length,\n\t\tuniqueTraits: byTrait.size,\n\t\tvariants: {\n\t\t\tmin: variants[0] ?? null,\n\t\t\tmax: variants[variants.length - 1] ?? null,\n\t\t\tmean: variants.length ? variants.reduce((sum, n) => sum + n, 0) / variants.length : null,\n\t\t\tmedian: quantile(variants, 0.5),\n\t\t},\n\t\ttopTraits,\n\t\ttraitToPgsIds,\n\t\ttraitVariantRange,\n\t\treleaseYears,\n\t};\n}\n\n\n\n// ---- core: fetch all scores (paginated) ---- total: 5298 as of 2024-06-20\n// Rate-limited - Includes a 200ms delay between requests for safety\n  // REST docs indicate paginated responses; default is 50 per page. :contentReference[oaicite:4]{index=4}\nasync function fetchAllApiScores({ pageSize = 200 } = {}) {\n\t/**\n\t * Fetch all PGS scoring files from the paginated API.\n\t * @param {{ pageSize?: number }} [options]\n\t * @returns {Promise<object[]>}\n\t */\n\tlet offset = 0;\n\tconst all = [];\n\tlet page = 0;\n\n\tconsole.log(`loading all scores from paginated API with page size ${pageSize}...`);\n\n\twhile (true) {\n\t\tpage += 1;\n\t\tconst url = `${PGS_BASE}/score/all?format=json&limit=${pageSize}&offset=${offset}`;\n\t\t// console.log(`[fetchAllScores] page ${page} request: ${url}`);\n\t\tlet response;\n\t\ttry {\n\t\t\tresponse = await fetch(url);\n\t\t} catch (error) {\n\t\t\tthrow new Error(getFetchAllScoresErrorMessage(error, {\n\t\t\t\tpage,\n\t\t\t\toffset,\n\t\t\t\tpageSize,\n\t\t\t\turl,\n\t\t\t}));\n\t\t}\n\t\tif (!response.ok) {\n\t\t\tthrow new Error(getFetchAllScoresErrorMessage(null, {\n\t\t\t\tpage,\n\t\t\t\toffset,\n\t\t\t\tpageSize,\n\t\t\t\turl,\n\t\t\t\tstatus: response.status,\n\t\t\t}));\n\t\t}\n\t\tconst data = await response.json();\n\n\t\tconst results = Array.isArray(data) ? data : (data.results ?? []);\n\t\tif (!Array.isArray(results)) throw new Error(\"Unexpected response format from PGS API.\");\n\n\t\t// console.log(\t`[fetchAllApiScores] page ${page} received=${results.length} total_so_far=${all.length + results.length}`\n\t\t//);\n\n\t\tall.push(...results);\n\n\t\tif (results.length === 0) {\n\t\t\t// console.log(`[fetchAllApiScores] stop: empty page at page ${page}`);\n\t\t\tbreak;\n\t\t}\n\t\tif (!Array.isArray(data) && data.next == null && results.length < pageSize) {\n\t\t\t// console.log(`[fetchAllApiScores] stop: last page reached at page ${page}`);\n\t\t\tbreak;\n\t\t}\n\n\t\toffset += results.length;\n\t\t// console.log(`[fetchAllApiScores] next offset=${offset}`);\n\t\tawait new Promise((r) => setTimeout(r, 100)); // rate safety\n\t}\n\t// console.log(`[fetchAllApiScores] done total=${all.length}`);\n\treturn all;\n}\n\n// ES6 MODULE: fetchAllScores() is the main function to get scores data and summary,\n// using cache if available and valid, and falling back to cache if fetch fails.\n// Higher-level app function\n// Checks LocalForage cache first (3-month validity)\n// If needed, calls fetchAllScores(), computes summary, caches result\n// Returns { scores, summary } (not just raw array)\nasync function fetchAllScores({ cache = true, pageSize = 200 } = {}) {\n\t/**\n\t * Load full score dataset and summary.\n\t * Uses all-score LocalForage cache when valid, otherwise fetches and refreshes cache.\n\t * @param {{ cache?: boolean, pageSize?: number }} [options]\n\t * @returns {Promise<{scores: object[], summary: object|null}>}\n\t */\n\t// console.log(\"fetchAllScores():Loading scores function...\");\n\tconst results = {\n\t\tscores: [],\n\t\tsummary: null,\n\t\terrorMessage: null,\n\t\tsource: null,\n\t\tsavedAt: null,\n\t};\n\n\tconst cached = cache ? await getStoredScoreSummary(ALL_SCORE_SUMMARY_KEY) : null;\n\t// A summary alone is not a usable cache hit: getScoresPerTrait()/getScoresPerCategory()\n\t// build their PGS-ID index from `scores`, so an entry with an empty `scores` array\n\t// must be treated as stale and refetched rather than served.\n\tconst cachedHasScores = Array.isArray(cached?.scores) && cached.scores.length > 0;\n\n\ttry {\n\t\tif (cache && cached?.summary && cachedHasScores && isCacheWithinMonths(cached.savedAt, 3)) {\n\t\t\tresults.summary = cached.summary;\n\t\t\tresults.scores = cached.scores;\n\t\t\tresults.source = \"cache\";\n\t\t\tresults.savedAt = cached.savedAt ?? null;\n\t\n\t\t\treturn results;\n\t\t}\n\n\t\tconst scores = await fetchAllApiScores({ pageSize });\n\n\t\tconst summary = computeSummary(scores);\n\t\tresults.scores = scores;\n\t\tresults.summary = summary;\n\t\t// Never persist an empty result set — it would poison the cache for the next 3 months.\n\t\tif (cache && scores.length) {\n\t\t\tawait saveScoreSummary(results, ALL_SCORE_SUMMARY_KEY);\n\t\t}\n\t\tresults.source = \"live\";\n\t\tresults.savedAt = new Date().toISOString();\n\n\t\t// console.log(\"Fetched scores data:\", scores);\n\t\treturn results;\n\t} catch (error) {\n\t\tresults.errorMessage = getFetchAllScoresErrorMessage(error);\n\t\tif (cache && cached?.summary) {\n\t\t\tresults.summary = cached.summary;\n\t\t\tresults.scores = cached.scores ?? [];\n\t\t\tresults.source = \"cache-fallback\";\n\t\t\tresults.savedAt = cached.savedAt ?? null;\n\t\t} else {\n\t\t\tresults.source = \"unavailable\";\n\t\t}\n\t\tconsole.error(error);\n\t\treturn results;\n\t}\n\t//console.log(\"fetchAllScores():Final results:\", results);\n}\n\n\n// ---- core: fetch some scores by ID (cache-aware) ----\n// What it does:\n// Accepts flexible input - Takes a single ID, an array of IDs, or multiple ID arguments\n// Optional cache usage - Uses the all-score cache first when { cache: true }\n// Fills cache misses - Fetches only missing IDs via fetchSomeAPIScores()\n// Returns results - { scores, summary } for the requested IDs only\nasync function fetchSomeScores(ids, ...args) {\n\t/**\n\t * Load specific scores by ID.\n\t * Prefers all-score cache and fetches only missing IDs when needed.\n\t * @param {string|string[]} ids\n\t * @param {...(string|{cache?: boolean})} args\n\t * @returns {Promise<{scores: object[], summary: object|null}>}\n\t */\n\t// console.log(\"fetchSomeScores():Loading scores function...\");\n\tconst results = {\n\t\tscores: [],\n\t\tsummary: null,\n\t};\n\n\tlet options = {};\n\tlet moreIds = args;\n\tconst maybeOptions = args.at(-1);\n\tif (\n\t\tmaybeOptions\n\t\t&& typeof maybeOptions === \"object\"\n\t\t&& !Array.isArray(maybeOptions)\n\t) {\n\t\toptions = maybeOptions;\n\t\tmoreIds = args.slice(0, -1);\n\t}\n\n\tconst { cache = true } = options;\n\tconst rawIds = moreIds.length ? [ids, ...moreIds] : ids;\n\tconst inputIds = Array.isArray(rawIds) ? rawIds : [rawIds];\n\tconst requestedIds = [...new Set(\n\t\tinputIds\n\t\t\t.map((id) => String(id ?? \"\").trim())\n\t\t\t.filter(Boolean)\n\t)];\n\tconst allScoresCached = cache ? await getStoredScoreSummary(ALL_SCORE_SUMMARY_KEY) : null;\n\t// console.log(\"fetchSomeScores():all-score cache present:\", Boolean(allScoresCached?.scores?.length));\n\n\ttry {\n\t\tif (cache && allScoresCached?.scores?.length && isCacheWithinMonths(allScoresCached.savedAt, 3)) {\n\t\t\tconst scoreById = new Map(\n\t\t\t\tallScoresCached.scores\n\t\t\t\t\t.filter((score) => score?.id != null)\n\t\t\t\t\t.map((score) => [String(score.id), score])\n\t\t\t);\n\t\t\tconst scoresFromAllCache = requestedIds\n\t\t\t\t.map((id) => scoreById.get(id))\n\t\t\t\t.filter(Boolean);\n\n\t\t\tif (scoresFromAllCache.length === requestedIds.length) {\n\t\t\t\tresults.scores = scoresFromAllCache;\n\t\t\t\tresults.summary = computeSummary(scoresFromAllCache);\n\t\t\t\treturn results;\n\t\t\t}\n\n\t\t\tconst missingIds = requestedIds.filter((id) => !scoreById.has(id));\n\t\t\tconsole.warn(\"fetchSomeScores(): missing IDs in all-score cache, fetching:\", missingIds);\n\t\t\tconst fetchedMissingScores = await fetchSomeAPIScores(missingIds);\n\t\t\tconst fetchedById = new Map(\n\t\t\t\tfetchedMissingScores\n\t\t\t\t\t.filter((score) => score?.id != null)\n\t\t\t\t\t.map((score) => [String(score.id), score])\n\t\t\t);\n\n\t\t\tresults.scores = requestedIds\n\t\t\t\t.map((id) => scoreById.get(id) ?? fetchedById.get(id))\n\t\t\t\t.filter(Boolean);\n\t\t\tresults.summary = computeSummary(results.scores);\n\t\t\treturn results;\n\t\t}\n\n\t\tconst scores = await fetchSomeAPIScores(requestedIds);\n\t\tconst summary = computeSummary(scores);\n\t\tresults.scores = scores;\n\t\tresults.summary = summary;\n\t\t// console.log(\"------------------------------\");\n\t\t// console.log(\"Total scores fetched:\", scores.length);\n\t\t// console.log(\"Fetched scores data:\", scores);\n\t\t// console.log(\"Summary:\", summary);\n\n\t\treturn results;\n\t} catch (error) {\n\t\tconsole.error(error);\n\t\treturn results;\n\t}\n}\n\n// ---- core: fetch some scores by ID from the API ----\n// What it does:\n// Accepts flexible input - Takes a single ID or an array of IDs\n// Normalizes & deduplicates - Converts inputs to strings, trims whitespace, and removes duplicates\n// Fetches directly from the API - Calls https://www.pgscatalog.org/rest/score/{id} for each requested ID\n// Rate-limited - Includes a 200ms delay between requests for safety\n// Returns results - Array of fetched score objects; skips IDs that fail to fetch (with warnings)\nasync function fetchSomeAPIScores(ids = []) {\n\t/**\n\t * Fetch one or more PGS scoring files by ID.\n\t * Accepts a single ID or array; normalizes and de-duplicates IDs.\n\t * @param {string|string[]} ids\n\t * @returns {Promise<object[]>}\n\t */\n\tconst inputIds = Array.isArray(ids) ? ids : [ids];\n\tconst normalizedIds = [...new Set(\n\t\tinputIds\n\t\t\t.map((id) => String(id ?? \"\").trim())\n\t\t\t.filter(Boolean)\n\t)];\n\tconst results = [];\n\n\tfor (const id of normalizedIds) {\n\t\tconst url = `${PGS_BASE}/score/${id}`;\n\n\t\tconst response = await fetch(url);\n\n\t\tif (!response.ok) {\n\t\t\tconsole.warn(`Skipping ${id} (status ${response.status})`);\n\t\t\tcontinue;\n\t\t}\n\n\t\tconst data = await response.json();\n\t\tresults.push(data);\n\t\tawait new Promise((r) => setTimeout(r, 200)); // rate safety\n\t}\n\n\treturn results;\n}\n//---------------START OF TRAIT-SCORE AND CATEGORY-SCORE LINKING LOGIC------------------\n\nfunction getAssociatedPgsIdsFromTrait(trait) {\n\tif (!trait || typeof trait !== \"object\") return [];\n\n\tif (Array.isArray(trait.associated_pgs_ids)) return trait.associated_pgs_ids;\n\tif (Array.isArray(trait.pgs_ids)) return trait.pgs_ids;\n\tif (Array.isArray(trait.associated_pgs)) {\n\t\treturn trait.associated_pgs\n\t\t\t.map((item) => (typeof item === \"string\" ? item : item?.id ?? item?.pgs_id))\n\t\t\t.filter(Boolean);\n\t}\n\tif (Array.isArray(trait.scores)) {\n\t\treturn trait.scores\n\t\t\t.map((item) => (typeof item === \"string\" ? item : item?.id ?? item?.pgs_id))\n\t\t\t.filter(Boolean);\n\t}\n\n\treturn [];\n}\n\nfunction getTraitName(trait, index) {\n\treturn trait?.label\n\t\t?? trait?.trait_label\n\t\t?? trait?.name\n\t\t?? trait?.trait_reported\n\t\t?? trait?.id\n\t\t?? `trait-${index + 1}`;\n}\n\n// Canonical ontology key for a trait: the EFO ID when available.\n// Falls back to the display name only when no ontology identifier exists.\nfunction getTraitId(trait, index) {\n\treturn trait?.id\n\t\t?? trait?.efo_id\n\t\t?? trait?.trait_id\n\t\t?? getTraitName(trait, index);\n}\n\nfunction normalizeCategoryEntries(entries) {\n\tif (!Array.isArray(entries)) return [];\n\n\treturn entries.map((entry) => {\n\t\tif (Array.isArray(entry)) {\n\t\t\treturn {\n\t\t\t\tcategory: entry[0],\n\t\t\t\tpgs_ids: Array.isArray(entry[2]) ? entry[2] : [],\n\t\t\t};\n\t\t}\n\t\treturn entry;\n\t});\n}\n\nfunction getCategoryToPgsIdsFromTraitSummary(traitSummary) {\n\tconst summary = traitSummary?.summary ?? traitSummary;\n\tconst categoryToPgsIds = new Map();\n\tconst categories = normalizeCategoryEntries(summary?.categories ?? summary?.topCategories);\n\n\tfor (const entry of categories) {\n\t\tconst categoryName = entry?.category ?? \"NR\";\n\t\tif (!categoryToPgsIds.has(categoryName)) {\n\t\t\tcategoryToPgsIds.set(categoryName, new Set());\n\t\t}\n\t\tconst idSet = categoryToPgsIds.get(categoryName);\n\t\tfor (const pgsId of (entry?.pgs_ids ?? [])) {\n\t\t\tidSet.add(pgsId);\n\t\t}\n\t}\n\n\treturn [...categoryToPgsIds.entries()]\n\t\t.map(([categoryName, idSet]) => [categoryName, [...idSet]])\n\t\t.filter(([, ids]) => ids.length > 0);\n}\n\n// Returns entries of [efoId, { label, pgs_ids }] so traits are keyed by ontology ID\n// while retaining the human-readable label for display.\nfunction getTraitToPgsIdsFromTraitSummary(traitSummary) {\n\tconst summary = traitSummary?.summary ?? traitSummary;\n\tconst traitEntries = new Map();\n\n\tconst addEntry = (traitId, label, pgsIds) => {\n\t\tconst key = String(traitId);\n\t\tif (!traitEntries.has(key)) {\n\t\t\ttraitEntries.set(key, { label, ids: new Set() });\n\t\t}\n\t\tconst entry = traitEntries.get(key);\n\t\tfor (const pgsId of pgsIds) {\n\t\t\tentry.ids.add(pgsId);\n\t\t}\n\t};\n\n\tconst traits = Array.isArray(summary?.traits) ? summary.traits : [];\n\tif (traits.length) {\n\t\ttraits.forEach((trait, index) => {\n\t\t\taddEntry(\n\t\t\t\tgetTraitId(trait, index),\n\t\t\t\tgetTraitName(trait, index),\n\t\t\t\tgetAssociatedPgsIdsFromTrait(trait)\n\t\t\t);\n\t\t});\n\t}\n\n\tif (!traitEntries.size) {\n\t\tconst categories = normalizeCategoryEntries(summary?.categories ?? summary?.topCategories);\n\t\tfor (const entry of categories) {\n\t\t\tconst categoryName = entry?.category ?? \"NR\";\n\t\t\taddEntry(categoryName, categoryName, entry?.pgs_ids ?? []);\n\t\t}\n\t}\n\n\treturn [...traitEntries.entries()]\n\t\t.map(([traitId, entry]) => [traitId, { label: entry.label, pgs_ids: [...entry.ids] }])\n\t\t.filter(([, entry]) => entry.pgs_ids.length > 0);\n}\n\n\n/**\n * True if a trait/category map actually linked at least one score.\n * A map that is well-formed but empty means the all-score summary was empty when it\n * was built; such a payload must never be served from cache nor written to it, or the\n * catalog UI stays blank until the user manually clears IndexedDB.\n * @param {object|undefined} map - `scoresPerTrait` or `scoresPerCategory` object.\n * @returns {boolean}\n */\nfunction hasLinkedScores(map) {\n\treturn Object.values(map ?? {}).some((entry) => entry?.scores?.length > 0);\n}\n\n// TRAITS/CATEGORIES are linked indirectly through the cached traitSummary object, using PGS IDs as the bridge.\nasync function getScoresPerTrait({ forceRefresh = false, maxTraits = Infinity, onStatus } = {}) {\n\t/**\n\t * Build and cache trait -> scores mapping using trait-summary-linked PGS IDs.\n\t * Optimized: loads all scores once and builds a Map lookup instead of calling fetchSomeScores() per trait.\n\t * Self-healing: if the trait-summary cache is missing, fetchTraits() is called to populate it.\n\t * @param {{ forceRefresh?: boolean, maxTraits?: number, onStatus?: (message: string) => void }} [options]\n\t * @returns {Promise<object>}\n\t */\n\tconst report = (message) => { if (typeof onStatus === \"function\") onStatus(message); };\n\n\treport(\"getScoresPerTrait: checking cache...\");\n\tconst cached = await getStoredScoreSummary(SCORES_PER_TRAIT_SUMMARY_KEY);\n\t// Pre-EFO payloads were keyed by trait label and lack `efo_id`; treat them as stale\n\t// so they are recomputed and overwritten in place rather than orphaned under a new key.\n\tconst cachedIsEfoKeyed = Boolean(Object.values(cached?.scoresPerTrait ?? {})[0]?.efo_id);\n\tif (!forceRefresh && cachedIsEfoKeyed && hasLinkedScores(cached?.scoresPerTrait)) {\n\t\treport(\"getScoresPerTrait: served from cache.\");\n\t\treturn cached;\n\t}\n\tif (!forceRefresh && cachedIsEfoKeyed) {\n\t\tconsole.warn(\"getScoresPerTrait: cached payload has no linked scores — rebuilding.\");\n\t}\n\n\tlet traitSummary = await getStoredScoreSummary(TRAIT_SUMMARY_KEY);\n\tif (!traitSummary?.summary && !traitSummary?.categories) {\n\t\treport(\"getScoresPerTrait: trait summary missing — running fetchTraits()...\");\n\t\tawait fetchTraits();\n\t\ttraitSummary = await getStoredScoreSummary(TRAIT_SUMMARY_KEY);\n\t}\n\tif (!traitSummary?.summary && !traitSummary?.categories) {\n\t\tthrow new Error(\"Missing trait summary cache (TRAIT_SUMMARY_KEY) even after fetchTraits(). Check network/API availability.\");\n\t}\n\n\t// Load all scores once and build a Map for fast lookup\n\treport(\"getScoresPerTrait: loading all scores...\");\n\tconst { scores: allScores } = await fetchAllScores();\n\tconst scoreById = new Map(\n\t\tallScores\n\t\t\t.filter((score) => score?.id != null)\n\t\t\t.map((score) => [String(score.id), score])\n\t);\n\n\tconst traitEntries = getTraitToPgsIdsFromTraitSummary(traitSummary);\n\tconst scoresPerTrait = {};\n\tlet processedTraits = 0;\n\n\tfor (const [traitId, { label, pgs_ids: pgsIds }] of traitEntries) {\n\t\tif (processedTraits >= maxTraits) break;\n\t\t// console.log(`Building getScoresPerTrait for trait ${traitId} (${label}) with ${pgsIds.length} associated PGS IDs...`);\n\t\tconst traitScores = pgsIds.map((id) => scoreById.get(String(id))).filter(Boolean);\n\t\tscoresPerTrait[traitId] = {\n\t\t\tefo_id: traitId,\n\t\t\tlabel,\n\t\t\tpgs_ids: pgsIds,\n\t\t\tscores: traitScores,\n\t\t\tsummary: computeSummary(traitScores),\n\t\t};\n\t\tprocessedTraits += 1;\n\t}\n\n\tconst payload = {\n\t\tsavedAt: new Date().toISOString(),\n\t\tsourceTraitSavedAt: traitSummary?.savedAt ?? null,\n\t\tprocessedTraits,\n\t\ttotalTraitEntries: traitEntries.length,\n\t\tscoresPerTrait,\n\t};\n\n\tif (hasLinkedScores(scoresPerTrait)) {\n\t\tawait localforage.setItem(SCORES_PER_TRAIT_SUMMARY_KEY, payload);\n\t} else {\n\t\tconsole.warn(`getScoresPerTrait: 0 scores linked across ${traitEntries.length} traits (${scoreById.size} scores available) — not caching.`);\n\t}\n\tconsole.log(`getScoresPerTrait: ${processedTraits}/${traitEntries.length} traits linked across ${scoreById.size} scores.`);\n\treport(`getScoresPerTrait: done — ${processedTraits} traits.`);\n\treturn payload;\n}\n\n//---------------START OF CATEGORY-SCORE LINKING LOGIC------------------\n\n// TODO error: 1700 traits vs 669. \nasync function getScoresPerCategory({ forceRefresh = false, maxCategories = Infinity, onStatus } = {}) {\n\t/**\n\t * Build and cache category -> scores mapping using trait-summary-linked PGS IDs.\n\t * Optimized: loads all scores once and builds a Map lookup instead of calling fetchSomeScores() per category.\n\t * Self-healing: if the trait-summary cache is missing, fetchTraits() is called to populate it.\n\t * @param {{ forceRefresh?: boolean, maxCategories?: number, onStatus?: (message: string) => void }} [options]\n\t * @returns {Promise<object>}\n\t */\n\tconst report = (message) => { if (typeof onStatus === \"function\") onStatus(message); };\n\n\treport(\"getScoresPerCategory: checking cache...\");\n\tconst cached = await getStoredScoreSummary(SCORES_PER_CATEGORY_SUMMARY_KEY);\n\tif (!forceRefresh && hasLinkedScores(cached?.scoresPerCategory)) {\n\t\treport(\"getScoresPerCategory: served from cache.\");\n\t\treturn cached;\n\t}\n\tif (!forceRefresh && cached?.scoresPerCategory) {\n\t\tconsole.warn(\"getScoresPerCategory: cached payload has no linked scores — rebuilding.\");\n\t}\n\n\tlet traitSummary = await getStoredScoreSummary(TRAIT_SUMMARY_KEY);\n\tif (!traitSummary?.summary && !traitSummary?.categories) {\n\t\treport(\"getScoresPerCategory: trait summary missing — running fetchTraits()...\");\n\t\tawait fetchTraits();\n\t\ttraitSummary = await getStoredScoreSummary(TRAIT_SUMMARY_KEY);\n\t}\n\tif (!traitSummary?.summary && !traitSummary?.categories) {\n\t\tthrow new Error(\"Missing trait summary cache (TRAIT_SUMMARY_KEY) even after fetchTraits(). Check network/API availability.\");\n\t}\n\n\t// Load all scores once and build a Map for fast lookup\n\treport(\"getScoresPerCategory: loading all scores...\");\n\tconst { scores: allScores } = await fetchAllScores();\n\tconst scoreById = new Map(\n\t\tallScores\n\t\t\t.filter((score) => score?.id != null)\n\t\t\t.map((score) => [String(score.id), score])\n\t);\n\n\tconst categoryEntries = getCategoryToPgsIdsFromTraitSummary(traitSummary);\n\tconst scoresPerCategory = {};\n\tlet processedCategories = 0;\n\n\tfor (const [categoryName, pgsIds] of categoryEntries) {\n\t\tif (processedCategories >= maxCategories) break;\n\t\t// console.log(`Building getScoresPerCategory for category: \"${categoryName}\" with ${pgsIds.length} associated PGS IDs...`);\n\t\tconst categoryScores = pgsIds.map((id) => scoreById.get(String(id))).filter(Boolean);\n\t\tscoresPerCategory[categoryName] = {\n\t\t\tpgs_ids: pgsIds,\n\t\t\tscores: categoryScores,\n\t\t\tsummary: computeSummary(categoryScores),\n\t\t};\n\t\tprocessedCategories += 1;\n\t}\n\n\tconst payload = {\n\t\tsavedAt: new Date().toISOString(),\n\t\tsourceTraitSavedAt: traitSummary?.savedAt ?? null,\n\t\tprocessedCategories,\n\t\ttotalCategoryEntries: categoryEntries.length,\n\t\tscoresPerCategory,\n\t};\n\n\tif (hasLinkedScores(scoresPerCategory)) {\n\t\tawait localforage.setItem(SCORES_PER_CATEGORY_SUMMARY_KEY, payload);\n\t} else {\n\t\tconsole.warn(`getScoresPerCategory: 0 scores linked across ${categoryEntries.length} categories (${scoreById.size} scores available) — not caching.`);\n\t}\n\tconsole.log(`getScoresPerCategory: ${processedCategories}/${categoryEntries.length} categories linked across ${scoreById.size} scores.`);\n\treport(`getScoresPerCategory: done — ${processedCategories} categories.`);\n\treturn payload;\n}\n//---------------END OF CATEGORY-SCORE LINKING LOGIC------------------\n\n// Expose for dev console\nif (typeof window !== \"undefined\") {\n\twindow.fetchSomeScores = fetchSomeScores;\n\t//window.fetchSomeAPIScores = fetchSomeAPIScores;\n\twindow.fetchAllScores = fetchAllScores;\n\twindow.getScoresPerTrait = getScoresPerTrait;\n\twindow.getScoresPerCategory = getScoresPerCategory;\n\t//window.getScoresPerCategory2 = getScoresPerCategory2;\n}\n\n/*! pako 2.1.0 https://github.com/nodeca/pako @license (MIT AND Zlib) */\n// (C) 1995-2013 Jean-loup Gailly and Mark Adler\n// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin\n//\n// This software is provided 'as-is', without any express or implied\n// warranty. In no event will the authors be held liable for any damages\n// arising from the use of this software.\n//\n// Permission is granted to anyone to use this software for any purpose,\n// including commercial applications, and to alter it and redistribute it\n// freely, subject to the following restrictions:\n//\n// 1. The origin of this software must not be misrepresented; you must not\n//   claim that you wrote the original software. If you use this software\n//   in a product, an acknowledgment in the product documentation would be\n//   appreciated but is not required.\n// 2. Altered source versions must be plainly marked as such, and must not be\n//   misrepresented as being the original software.\n// 3. This notice may not be removed or altered from any source distribution.\n\n/* eslint-disable space-unary-ops */\n\n/* Public constants ==========================================================*/\n/* ===========================================================================*/\n\n\n//const Z_FILTERED          = 1;\n//const Z_HUFFMAN_ONLY      = 2;\n//const Z_RLE               = 3;\nconst Z_FIXED$1               = 4;\n//const Z_DEFAULT_STRATEGY  = 0;\n\n/* Possible values of the data_type field (though see inflate()) */\nconst Z_BINARY              = 0;\nconst Z_TEXT                = 1;\n//const Z_ASCII             = 1; // = Z_TEXT\nconst Z_UNKNOWN$1             = 2;\n\n/*============================================================================*/\n\n\nfunction zero$1(buf) { let len = buf.length; while (--len >= 0) { buf[len] = 0; } }\n\n// From zutil.h\n\nconst STORED_BLOCK = 0;\nconst STATIC_TREES = 1;\nconst DYN_TREES    = 2;\n/* The three kinds of block type */\n\nconst MIN_MATCH$1    = 3;\nconst MAX_MATCH$1    = 258;\n/* The minimum and maximum match lengths */\n\n// From deflate.h\n/* ===========================================================================\n * Internal compression state.\n */\n\nconst LENGTH_CODES$1  = 29;\n/* number of length codes, not counting the special END_BLOCK code */\n\nconst LITERALS$1      = 256;\n/* number of literal bytes 0..255 */\n\nconst L_CODES$1       = LITERALS$1 + 1 + LENGTH_CODES$1;\n/* number of Literal or Length codes, including the END_BLOCK code */\n\nconst D_CODES$1       = 30;\n/* number of distance codes */\n\nconst BL_CODES$1      = 19;\n/* number of codes used to transfer the bit lengths */\n\nconst HEAP_SIZE$1     = 2 * L_CODES$1 + 1;\n/* maximum heap size */\n\nconst MAX_BITS$1      = 15;\n/* All codes must not exceed MAX_BITS bits */\n\nconst Buf_size      = 16;\n/* size of bit buffer in bi_buf */\n\n\n/* ===========================================================================\n * Constants\n */\n\nconst MAX_BL_BITS = 7;\n/* Bit length codes must not exceed MAX_BL_BITS bits */\n\nconst END_BLOCK   = 256;\n/* end of block literal code */\n\nconst REP_3_6     = 16;\n/* repeat previous bit length 3-6 times (2 bits of repeat count) */\n\nconst REPZ_3_10   = 17;\n/* repeat a zero length 3-10 times  (3 bits of repeat count) */\n\nconst REPZ_11_138 = 18;\n/* repeat a zero length 11-138 times  (7 bits of repeat count) */\n\n/* eslint-disable comma-spacing,array-bracket-spacing */\nconst extra_lbits =   /* extra bits for each length code */\n  new Uint8Array([0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0]);\n\nconst extra_dbits =   /* extra bits for each distance code */\n  new Uint8Array([0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13]);\n\nconst extra_blbits =  /* extra bits for each bit length code */\n  new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,7]);\n\nconst bl_order =\n  new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]);\n/* eslint-enable comma-spacing,array-bracket-spacing */\n\n/* The lengths of the bit length codes are sent in order of decreasing\n * probability, to avoid transmitting the lengths for unused bit length codes.\n */\n\n/* ===========================================================================\n * Local data. These are initialized only once.\n */\n\n// We pre-fill arrays with 0 to avoid uninitialized gaps\n\nconst DIST_CODE_LEN = 512; /* see definition of array dist_code below */\n\n// !!!! Use flat array instead of structure, Freq = i*2, Len = i*2+1\nconst static_ltree  = new Array((L_CODES$1 + 2) * 2);\nzero$1(static_ltree);\n/* The static literal tree. Since the bit lengths are imposed, there is no\n * need for the L_CODES extra codes used during heap construction. However\n * The codes 286 and 287 are needed to build a canonical tree (see _tr_init\n * below).\n */\n\nconst static_dtree  = new Array(D_CODES$1 * 2);\nzero$1(static_dtree);\n/* The static distance tree. (Actually a trivial tree since all codes use\n * 5 bits.)\n */\n\nconst _dist_code    = new Array(DIST_CODE_LEN);\nzero$1(_dist_code);\n/* Distance codes. The first 256 values correspond to the distances\n * 3 .. 258, the last 256 values correspond to the top 8 bits of\n * the 15 bit distances.\n */\n\nconst _length_code  = new Array(MAX_MATCH$1 - MIN_MATCH$1 + 1);\nzero$1(_length_code);\n/* length code for each normalized match length (0 == MIN_MATCH) */\n\nconst base_length   = new Array(LENGTH_CODES$1);\nzero$1(base_length);\n/* First normalized length for each code (0 = MIN_MATCH) */\n\nconst base_dist     = new Array(D_CODES$1);\nzero$1(base_dist);\n/* First normalized distance for each code (0 = distance of 1) */\n\n\nfunction StaticTreeDesc(static_tree, extra_bits, extra_base, elems, max_length) {\n\n  this.static_tree  = static_tree;  /* static tree or NULL */\n  this.extra_bits   = extra_bits;   /* extra bits for each code or NULL */\n  this.extra_base   = extra_base;   /* base index for extra_bits */\n  this.elems        = elems;        /* max number of elements in the tree */\n  this.max_length   = max_length;   /* max bit length for the codes */\n\n  // show if `static_tree` has data or dummy - needed for monomorphic objects\n  this.has_stree    = static_tree && static_tree.length;\n}\n\n\nlet static_l_desc;\nlet static_d_desc;\nlet static_bl_desc;\n\n\nfunction TreeDesc(dyn_tree, stat_desc) {\n  this.dyn_tree = dyn_tree;     /* the dynamic tree */\n  this.max_code = 0;            /* largest code with non zero frequency */\n  this.stat_desc = stat_desc;   /* the corresponding static tree */\n}\n\n\n\nconst d_code = (dist) => {\n\n  return dist < 256 ? _dist_code[dist] : _dist_code[256 + (dist >>> 7)];\n};\n\n\n/* ===========================================================================\n * Output a short LSB first on the stream.\n * IN assertion: there is enough room in pendingBuf.\n */\nconst put_short = (s, w) => {\n//    put_byte(s, (uch)((w) & 0xff));\n//    put_byte(s, (uch)((ush)(w) >> 8));\n  s.pending_buf[s.pending++] = (w) & 0xff;\n  s.pending_buf[s.pending++] = (w >>> 8) & 0xff;\n};\n\n\n/* ===========================================================================\n * Send a value on a given number of bits.\n * IN assertion: length <= 16 and value fits in length bits.\n */\nconst send_bits = (s, value, length) => {\n\n  if (s.bi_valid > (Buf_size - length)) {\n    s.bi_buf |= (value << s.bi_valid) & 0xffff;\n    put_short(s, s.bi_buf);\n    s.bi_buf = value >> (Buf_size - s.bi_valid);\n    s.bi_valid += length - Buf_size;\n  } else {\n    s.bi_buf |= (value << s.bi_valid) & 0xffff;\n    s.bi_valid += length;\n  }\n};\n\n\nconst send_code = (s, c, tree) => {\n\n  send_bits(s, tree[c * 2]/*.Code*/, tree[c * 2 + 1]/*.Len*/);\n};\n\n\n/* ===========================================================================\n * Reverse the first len bits of a code, using straightforward code (a faster\n * method would use a table)\n * IN assertion: 1 <= len <= 15\n */\nconst bi_reverse = (code, len) => {\n\n  let res = 0;\n  do {\n    res |= code & 1;\n    code >>>= 1;\n    res <<= 1;\n  } while (--len > 0);\n  return res >>> 1;\n};\n\n\n/* ===========================================================================\n * Flush the bit buffer, keeping at most 7 bits in it.\n */\nconst bi_flush = (s) => {\n\n  if (s.bi_valid === 16) {\n    put_short(s, s.bi_buf);\n    s.bi_buf = 0;\n    s.bi_valid = 0;\n\n  } else if (s.bi_valid >= 8) {\n    s.pending_buf[s.pending++] = s.bi_buf & 0xff;\n    s.bi_buf >>= 8;\n    s.bi_valid -= 8;\n  }\n};\n\n\n/* ===========================================================================\n * Compute the optimal bit lengths for a tree and update the total bit length\n * for the current block.\n * IN assertion: the fields freq and dad are set, heap[heap_max] and\n *    above are the tree nodes sorted by increasing frequency.\n * OUT assertions: the field len is set to the optimal bit length, the\n *     array bl_count contains the frequencies for each bit length.\n *     The length opt_len is updated; static_len is also updated if stree is\n *     not null.\n */\nconst gen_bitlen = (s, desc) => {\n//    deflate_state *s;\n//    tree_desc *desc;    /* the tree descriptor */\n\n  const tree            = desc.dyn_tree;\n  const max_code        = desc.max_code;\n  const stree           = desc.stat_desc.static_tree;\n  const has_stree       = desc.stat_desc.has_stree;\n  const extra           = desc.stat_desc.extra_bits;\n  const base            = desc.stat_desc.extra_base;\n  const max_length      = desc.stat_desc.max_length;\n  let h;              /* heap index */\n  let n, m;           /* iterate over the tree elements */\n  let bits;           /* bit length */\n  let xbits;          /* extra bits */\n  let f;              /* frequency */\n  let overflow = 0;   /* number of elements with bit length too large */\n\n  for (bits = 0; bits <= MAX_BITS$1; bits++) {\n    s.bl_count[bits] = 0;\n  }\n\n  /* In a first pass, compute the optimal bit lengths (which may\n   * overflow in the case of the bit length tree).\n   */\n  tree[s.heap[s.heap_max] * 2 + 1]/*.Len*/ = 0; /* root of the heap */\n\n  for (h = s.heap_max + 1; h < HEAP_SIZE$1; h++) {\n    n = s.heap[h];\n    bits = tree[tree[n * 2 + 1]/*.Dad*/ * 2 + 1]/*.Len*/ + 1;\n    if (bits > max_length) {\n      bits = max_length;\n      overflow++;\n    }\n    tree[n * 2 + 1]/*.Len*/ = bits;\n    /* We overwrite tree[n].Dad which is no longer needed */\n\n    if (n > max_code) { continue; } /* not a leaf node */\n\n    s.bl_count[bits]++;\n    xbits = 0;\n    if (n >= base) {\n      xbits = extra[n - base];\n    }\n    f = tree[n * 2]/*.Freq*/;\n    s.opt_len += f * (bits + xbits);\n    if (has_stree) {\n      s.static_len += f * (stree[n * 2 + 1]/*.Len*/ + xbits);\n    }\n  }\n  if (overflow === 0) { return; }\n\n  // Tracev((stderr,\"\\nbit length overflow\\n\"));\n  /* This happens for example on obj2 and pic of the Calgary corpus */\n\n  /* Find the first bit length which could increase: */\n  do {\n    bits = max_length - 1;\n    while (s.bl_count[bits] === 0) { bits--; }\n    s.bl_count[bits]--;      /* move one leaf down the tree */\n    s.bl_count[bits + 1] += 2; /* move one overflow item as its brother */\n    s.bl_count[max_length]--;\n    /* The brother of the overflow item also moves one step up,\n     * but this does not affect bl_count[max_length]\n     */\n    overflow -= 2;\n  } while (overflow > 0);\n\n  /* Now recompute all bit lengths, scanning in increasing frequency.\n   * h is still equal to HEAP_SIZE. (It is simpler to reconstruct all\n   * lengths instead of fixing only the wrong ones. This idea is taken\n   * from 'ar' written by Haruhiko Okumura.)\n   */\n  for (bits = max_length; bits !== 0; bits--) {\n    n = s.bl_count[bits];\n    while (n !== 0) {\n      m = s.heap[--h];\n      if (m > max_code) { continue; }\n      if (tree[m * 2 + 1]/*.Len*/ !== bits) {\n        // Tracev((stderr,\"code %d bits %d->%d\\n\", m, tree[m].Len, bits));\n        s.opt_len += (bits - tree[m * 2 + 1]/*.Len*/) * tree[m * 2]/*.Freq*/;\n        tree[m * 2 + 1]/*.Len*/ = bits;\n      }\n      n--;\n    }\n  }\n};\n\n\n/* ===========================================================================\n * Generate the codes for a given tree and bit counts (which need not be\n * optimal).\n * IN assertion: the array bl_count contains the bit length statistics for\n * the given tree and the field len is set for all tree elements.\n * OUT assertion: the field code is set for all tree elements of non\n *     zero code length.\n */\nconst gen_codes = (tree, max_code, bl_count) => {\n//    ct_data *tree;             /* the tree to decorate */\n//    int max_code;              /* largest code with non zero frequency */\n//    ushf *bl_count;            /* number of codes at each bit length */\n\n  const next_code = new Array(MAX_BITS$1 + 1); /* next code value for each bit length */\n  let code = 0;              /* running code value */\n  let bits;                  /* bit index */\n  let n;                     /* code index */\n\n  /* The distribution counts are first used to generate the code values\n   * without bit reversal.\n   */\n  for (bits = 1; bits <= MAX_BITS$1; bits++) {\n    code = (code + bl_count[bits - 1]) << 1;\n    next_code[bits] = code;\n  }\n  /* Check that the bit counts in bl_count are consistent. The last code\n   * must be all ones.\n   */\n  //Assert (code + bl_count[MAX_BITS]-1 == (1<<MAX_BITS)-1,\n  //        \"inconsistent bit counts\");\n  //Tracev((stderr,\"\\ngen_codes: max_code %d \", max_code));\n\n  for (n = 0;  n <= max_code; n++) {\n    let len = tree[n * 2 + 1]/*.Len*/;\n    if (len === 0) { continue; }\n    /* Now reverse the bits */\n    tree[n * 2]/*.Code*/ = bi_reverse(next_code[len]++, len);\n\n    //Tracecv(tree != static_ltree, (stderr,\"\\nn %3d %c l %2d c %4x (%x) \",\n    //     n, (isgraph(n) ? n : ' '), len, tree[n].Code, next_code[len]-1));\n  }\n};\n\n\n/* ===========================================================================\n * Initialize the various 'constant' tables.\n */\nconst tr_static_init = () => {\n\n  let n;        /* iterates over tree elements */\n  let bits;     /* bit counter */\n  let length;   /* length value */\n  let code;     /* code value */\n  let dist;     /* distance index */\n  const bl_count = new Array(MAX_BITS$1 + 1);\n  /* number of codes at each bit length for an optimal tree */\n\n  // do check in _tr_init()\n  //if (static_init_done) return;\n\n  /* For some embedded targets, global variables are not initialized: */\n/*#ifdef NO_INIT_GLOBAL_POINTERS\n  static_l_desc.static_tree = static_ltree;\n  static_l_desc.extra_bits = extra_lbits;\n  static_d_desc.static_tree = static_dtree;\n  static_d_desc.extra_bits = extra_dbits;\n  static_bl_desc.extra_bits = extra_blbits;\n#endif*/\n\n  /* Initialize the mapping length (0..255) -> length code (0..28) */\n  length = 0;\n  for (code = 0; code < LENGTH_CODES$1 - 1; code++) {\n    base_length[code] = length;\n    for (n = 0; n < (1 << extra_lbits[code]); n++) {\n      _length_code[length++] = code;\n    }\n  }\n  //Assert (length == 256, \"tr_static_init: length != 256\");\n  /* Note that the length 255 (match length 258) can be represented\n   * in two different ways: code 284 + 5 bits or code 285, so we\n   * overwrite length_code[255] to use the best encoding:\n   */\n  _length_code[length - 1] = code;\n\n  /* Initialize the mapping dist (0..32K) -> dist code (0..29) */\n  dist = 0;\n  for (code = 0; code < 16; code++) {\n    base_dist[code] = dist;\n    for (n = 0; n < (1 << extra_dbits[code]); n++) {\n      _dist_code[dist++] = code;\n    }\n  }\n  //Assert (dist == 256, \"tr_static_init: dist != 256\");\n  dist >>= 7; /* from now on, all distances are divided by 128 */\n  for (; code < D_CODES$1; code++) {\n    base_dist[code] = dist << 7;\n    for (n = 0; n < (1 << (extra_dbits[code] - 7)); n++) {\n      _dist_code[256 + dist++] = code;\n    }\n  }\n  //Assert (dist == 256, \"tr_static_init: 256+dist != 512\");\n\n  /* Construct the codes of the static literal tree */\n  for (bits = 0; bits <= MAX_BITS$1; bits++) {\n    bl_count[bits] = 0;\n  }\n\n  n = 0;\n  while (n <= 143) {\n    static_ltree[n * 2 + 1]/*.Len*/ = 8;\n    n++;\n    bl_count[8]++;\n  }\n  while (n <= 255) {\n    static_ltree[n * 2 + 1]/*.Len*/ = 9;\n    n++;\n    bl_count[9]++;\n  }\n  while (n <= 279) {\n    static_ltree[n * 2 + 1]/*.Len*/ = 7;\n    n++;\n    bl_count[7]++;\n  }\n  while (n <= 287) {\n    static_ltree[n * 2 + 1]/*.Len*/ = 8;\n    n++;\n    bl_count[8]++;\n  }\n  /* Codes 286 and 287 do not exist, but we must include them in the\n   * tree construction to get a canonical Huffman tree (longest code\n   * all ones)\n   */\n  gen_codes(static_ltree, L_CODES$1 + 1, bl_count);\n\n  /* The static distance tree is trivial: */\n  for (n = 0; n < D_CODES$1; n++) {\n    static_dtree[n * 2 + 1]/*.Len*/ = 5;\n    static_dtree[n * 2]/*.Code*/ = bi_reverse(n, 5);\n  }\n\n  // Now data ready and we can init static trees\n  static_l_desc = new StaticTreeDesc(static_ltree, extra_lbits, LITERALS$1 + 1, L_CODES$1, MAX_BITS$1);\n  static_d_desc = new StaticTreeDesc(static_dtree, extra_dbits, 0,          D_CODES$1, MAX_BITS$1);\n  static_bl_desc = new StaticTreeDesc(new Array(0), extra_blbits, 0,         BL_CODES$1, MAX_BL_BITS);\n\n  //static_init_done = true;\n};\n\n\n/* ===========================================================================\n * Initialize a new block.\n */\nconst init_block = (s) => {\n\n  let n; /* iterates over tree elements */\n\n  /* Initialize the trees. */\n  for (n = 0; n < L_CODES$1;  n++) { s.dyn_ltree[n * 2]/*.Freq*/ = 0; }\n  for (n = 0; n < D_CODES$1;  n++) { s.dyn_dtree[n * 2]/*.Freq*/ = 0; }\n  for (n = 0; n < BL_CODES$1; n++) { s.bl_tree[n * 2]/*.Freq*/ = 0; }\n\n  s.dyn_ltree[END_BLOCK * 2]/*.Freq*/ = 1;\n  s.opt_len = s.static_len = 0;\n  s.sym_next = s.matches = 0;\n};\n\n\n/* ===========================================================================\n * Flush the bit buffer and align the output on a byte boundary\n */\nconst bi_windup = (s) =>\n{\n  if (s.bi_valid > 8) {\n    put_short(s, s.bi_buf);\n  } else if (s.bi_valid > 0) {\n    //put_byte(s, (Byte)s->bi_buf);\n    s.pending_buf[s.pending++] = s.bi_buf;\n  }\n  s.bi_buf = 0;\n  s.bi_valid = 0;\n};\n\n/* ===========================================================================\n * Compares to subtrees, using the tree depth as tie breaker when\n * the subtrees have equal frequency. This minimizes the worst case length.\n */\nconst smaller = (tree, n, m, depth) => {\n\n  const _n2 = n * 2;\n  const _m2 = m * 2;\n  return (tree[_n2]/*.Freq*/ < tree[_m2]/*.Freq*/ ||\n         (tree[_n2]/*.Freq*/ === tree[_m2]/*.Freq*/ && depth[n] <= depth[m]));\n};\n\n/* ===========================================================================\n * Restore the heap property by moving down the tree starting at node k,\n * exchanging a node with the smallest of its two sons if necessary, stopping\n * when the heap property is re-established (each father smaller than its\n * two sons).\n */\nconst pqdownheap = (s, tree, k) => {\n//    deflate_state *s;\n//    ct_data *tree;  /* the tree to restore */\n//    int k;               /* node to move down */\n\n  const v = s.heap[k];\n  let j = k << 1;  /* left son of k */\n  while (j <= s.heap_len) {\n    /* Set j to the smallest of the two sons: */\n    if (j < s.heap_len &&\n      smaller(tree, s.heap[j + 1], s.heap[j], s.depth)) {\n      j++;\n    }\n    /* Exit if v is smaller than both sons */\n    if (smaller(tree, v, s.heap[j], s.depth)) { break; }\n\n    /* Exchange v with the smallest son */\n    s.heap[k] = s.heap[j];\n    k = j;\n\n    /* And continue down the tree, setting j to the left son of k */\n    j <<= 1;\n  }\n  s.heap[k] = v;\n};\n\n\n// inlined manually\n// const SMALLEST = 1;\n\n/* ===========================================================================\n * Send the block data compressed using the given Huffman trees\n */\nconst compress_block = (s, ltree, dtree) => {\n//    deflate_state *s;\n//    const ct_data *ltree; /* literal tree */\n//    const ct_data *dtree; /* distance tree */\n\n  let dist;           /* distance of matched string */\n  let lc;             /* match length or unmatched char (if dist == 0) */\n  let sx = 0;         /* running index in sym_buf */\n  let code;           /* the code to send */\n  let extra;          /* number of extra bits to send */\n\n  if (s.sym_next !== 0) {\n    do {\n      dist = s.pending_buf[s.sym_buf + sx++] & 0xff;\n      dist += (s.pending_buf[s.sym_buf + sx++] & 0xff) << 8;\n      lc = s.pending_buf[s.sym_buf + sx++];\n      if (dist === 0) {\n        send_code(s, lc, ltree); /* send a literal byte */\n        //Tracecv(isgraph(lc), (stderr,\" '%c' \", lc));\n      } else {\n        /* Here, lc is the match length - MIN_MATCH */\n        code = _length_code[lc];\n        send_code(s, code + LITERALS$1 + 1, ltree); /* send the length code */\n        extra = extra_lbits[code];\n        if (extra !== 0) {\n          lc -= base_length[code];\n          send_bits(s, lc, extra);       /* send the extra length bits */\n        }\n        dist--; /* dist is now the match distance - 1 */\n        code = d_code(dist);\n        //Assert (code < D_CODES, \"bad d_code\");\n\n        send_code(s, code, dtree);       /* send the distance code */\n        extra = extra_dbits[code];\n        if (extra !== 0) {\n          dist -= base_dist[code];\n          send_bits(s, dist, extra);   /* send the extra distance bits */\n        }\n      } /* literal or match pair ? */\n\n      /* Check that the overlay between pending_buf and sym_buf is ok: */\n      //Assert(s->pending < s->lit_bufsize + sx, \"pendingBuf overflow\");\n\n    } while (sx < s.sym_next);\n  }\n\n  send_code(s, END_BLOCK, ltree);\n};\n\n\n/* ===========================================================================\n * Construct one Huffman tree and assigns the code bit strings and lengths.\n * Update the total bit length for the current block.\n * IN assertion: the field freq is set for all tree elements.\n * OUT assertions: the fields len and code are set to the optimal bit length\n *     and corresponding code. The length opt_len is updated; static_len is\n *     also updated if stree is not null. The field max_code is set.\n */\nconst build_tree = (s, desc) => {\n//    deflate_state *s;\n//    tree_desc *desc; /* the tree descriptor */\n\n  const tree     = desc.dyn_tree;\n  const stree    = desc.stat_desc.static_tree;\n  const has_stree = desc.stat_desc.has_stree;\n  const elems    = desc.stat_desc.elems;\n  let n, m;          /* iterate over heap elements */\n  let max_code = -1; /* largest code with non zero frequency */\n  let node;          /* new node being created */\n\n  /* Construct the initial heap, with least frequent element in\n   * heap[SMALLEST]. The sons of heap[n] are heap[2*n] and heap[2*n+1].\n   * heap[0] is not used.\n   */\n  s.heap_len = 0;\n  s.heap_max = HEAP_SIZE$1;\n\n  for (n = 0; n < elems; n++) {\n    if (tree[n * 2]/*.Freq*/ !== 0) {\n      s.heap[++s.heap_len] = max_code = n;\n      s.depth[n] = 0;\n\n    } else {\n      tree[n * 2 + 1]/*.Len*/ = 0;\n    }\n  }\n\n  /* The pkzip format requires that at least one distance code exists,\n   * and that at least one bit should be sent even if there is only one\n   * possible code. So to avoid special checks later on we force at least\n   * two codes of non zero frequency.\n   */\n  while (s.heap_len < 2) {\n    node = s.heap[++s.heap_len] = (max_code < 2 ? ++max_code : 0);\n    tree[node * 2]/*.Freq*/ = 1;\n    s.depth[node] = 0;\n    s.opt_len--;\n\n    if (has_stree) {\n      s.static_len -= stree[node * 2 + 1]/*.Len*/;\n    }\n    /* node is 0 or 1 so it does not have extra bits */\n  }\n  desc.max_code = max_code;\n\n  /* The elements heap[heap_len/2+1 .. heap_len] are leaves of the tree,\n   * establish sub-heaps of increasing lengths:\n   */\n  for (n = (s.heap_len >> 1/*int /2*/); n >= 1; n--) { pqdownheap(s, tree, n); }\n\n  /* Construct the Huffman tree by repeatedly combining the least two\n   * frequent nodes.\n   */\n  node = elems;              /* next internal node of the tree */\n  do {\n    //pqremove(s, tree, n);  /* n = node of least frequency */\n    /*** pqremove ***/\n    n = s.heap[1/*SMALLEST*/];\n    s.heap[1/*SMALLEST*/] = s.heap[s.heap_len--];\n    pqdownheap(s, tree, 1/*SMALLEST*/);\n    /***/\n\n    m = s.heap[1/*SMALLEST*/]; /* m = node of next least frequency */\n\n    s.heap[--s.heap_max] = n; /* keep the nodes sorted by frequency */\n    s.heap[--s.heap_max] = m;\n\n    /* Create a new node father of n and m */\n    tree[node * 2]/*.Freq*/ = tree[n * 2]/*.Freq*/ + tree[m * 2]/*.Freq*/;\n    s.depth[node] = (s.depth[n] >= s.depth[m] ? s.depth[n] : s.depth[m]) + 1;\n    tree[n * 2 + 1]/*.Dad*/ = tree[m * 2 + 1]/*.Dad*/ = node;\n\n    /* and insert the new node in the heap */\n    s.heap[1/*SMALLEST*/] = node++;\n    pqdownheap(s, tree, 1/*SMALLEST*/);\n\n  } while (s.heap_len >= 2);\n\n  s.heap[--s.heap_max] = s.heap[1/*SMALLEST*/];\n\n  /* At this point, the fields freq and dad are set. We can now\n   * generate the bit lengths.\n   */\n  gen_bitlen(s, desc);\n\n  /* The field len is now set, we can generate the bit codes */\n  gen_codes(tree, max_code, s.bl_count);\n};\n\n\n/* ===========================================================================\n * Scan a literal or distance tree to determine the frequencies of the codes\n * in the bit length tree.\n */\nconst scan_tree = (s, tree, max_code) => {\n//    deflate_state *s;\n//    ct_data *tree;   /* the tree to be scanned */\n//    int max_code;    /* and its largest code of non zero frequency */\n\n  let n;                     /* iterates over all tree elements */\n  let prevlen = -1;          /* last emitted length */\n  let curlen;                /* length of current code */\n\n  let nextlen = tree[0 * 2 + 1]/*.Len*/; /* length of next code */\n\n  let count = 0;             /* repeat count of the current code */\n  let max_count = 7;         /* max repeat count */\n  let min_count = 4;         /* min repeat count */\n\n  if (nextlen === 0) {\n    max_count = 138;\n    min_count = 3;\n  }\n  tree[(max_code + 1) * 2 + 1]/*.Len*/ = 0xffff; /* guard */\n\n  for (n = 0; n <= max_code; n++) {\n    curlen = nextlen;\n    nextlen = tree[(n + 1) * 2 + 1]/*.Len*/;\n\n    if (++count < max_count && curlen === nextlen) {\n      continue;\n\n    } else if (count < min_count) {\n      s.bl_tree[curlen * 2]/*.Freq*/ += count;\n\n    } else if (curlen !== 0) {\n\n      if (curlen !== prevlen) { s.bl_tree[curlen * 2]/*.Freq*/++; }\n      s.bl_tree[REP_3_6 * 2]/*.Freq*/++;\n\n    } else if (count <= 10) {\n      s.bl_tree[REPZ_3_10 * 2]/*.Freq*/++;\n\n    } else {\n      s.bl_tree[REPZ_11_138 * 2]/*.Freq*/++;\n    }\n\n    count = 0;\n    prevlen = curlen;\n\n    if (nextlen === 0) {\n      max_count = 138;\n      min_count = 3;\n\n    } else if (curlen === nextlen) {\n      max_count = 6;\n      min_count = 3;\n\n    } else {\n      max_count = 7;\n      min_count = 4;\n    }\n  }\n};\n\n\n/* ===========================================================================\n * Send a literal or distance tree in compressed form, using the codes in\n * bl_tree.\n */\nconst send_tree = (s, tree, max_code) => {\n//    deflate_state *s;\n//    ct_data *tree; /* the tree to be scanned */\n//    int max_code;       /* and its largest code of non zero frequency */\n\n  let n;                     /* iterates over all tree elements */\n  let prevlen = -1;          /* last emitted length */\n  let curlen;                /* length of current code */\n\n  let nextlen = tree[0 * 2 + 1]/*.Len*/; /* length of next code */\n\n  let count = 0;             /* repeat count of the current code */\n  let max_count = 7;         /* max repeat count */\n  let min_count = 4;         /* min repeat count */\n\n  /* tree[max_code+1].Len = -1; */  /* guard already set */\n  if (nextlen === 0) {\n    max_count = 138;\n    min_count = 3;\n  }\n\n  for (n = 0; n <= max_code; n++) {\n    curlen = nextlen;\n    nextlen = tree[(n + 1) * 2 + 1]/*.Len*/;\n\n    if (++count < max_count && curlen === nextlen) {\n      continue;\n\n    } else if (count < min_count) {\n      do { send_code(s, curlen, s.bl_tree); } while (--count !== 0);\n\n    } else if (curlen !== 0) {\n      if (curlen !== prevlen) {\n        send_code(s, curlen, s.bl_tree);\n        count--;\n      }\n      //Assert(count >= 3 && count <= 6, \" 3_6?\");\n      send_code(s, REP_3_6, s.bl_tree);\n      send_bits(s, count - 3, 2);\n\n    } else if (count <= 10) {\n      send_code(s, REPZ_3_10, s.bl_tree);\n      send_bits(s, count - 3, 3);\n\n    } else {\n      send_code(s, REPZ_11_138, s.bl_tree);\n      send_bits(s, count - 11, 7);\n    }\n\n    count = 0;\n    prevlen = curlen;\n    if (nextlen === 0) {\n      max_count = 138;\n      min_count = 3;\n\n    } else if (curlen === nextlen) {\n      max_count = 6;\n      min_count = 3;\n\n    } else {\n      max_count = 7;\n      min_count = 4;\n    }\n  }\n};\n\n\n/* ===========================================================================\n * Construct the Huffman tree for the bit lengths and return the index in\n * bl_order of the last bit length code to send.\n */\nconst build_bl_tree = (s) => {\n\n  let max_blindex;  /* index of last bit length code of non zero freq */\n\n  /* Determine the bit length frequencies for literal and distance trees */\n  scan_tree(s, s.dyn_ltree, s.l_desc.max_code);\n  scan_tree(s, s.dyn_dtree, s.d_desc.max_code);\n\n  /* Build the bit length tree: */\n  build_tree(s, s.bl_desc);\n  /* opt_len now includes the length of the tree representations, except\n   * the lengths of the bit lengths codes and the 5+5+4 bits for the counts.\n   */\n\n  /* Determine the number of bit length codes to send. The pkzip format\n   * requires that at least 4 bit length codes be sent. (appnote.txt says\n   * 3 but the actual value used is 4.)\n   */\n  for (max_blindex = BL_CODES$1 - 1; max_blindex >= 3; max_blindex--) {\n    if (s.bl_tree[bl_order[max_blindex] * 2 + 1]/*.Len*/ !== 0) {\n      break;\n    }\n  }\n  /* Update opt_len to include the bit length tree and counts */\n  s.opt_len += 3 * (max_blindex + 1) + 5 + 5 + 4;\n  //Tracev((stderr, \"\\ndyn trees: dyn %ld, stat %ld\",\n  //        s->opt_len, s->static_len));\n\n  return max_blindex;\n};\n\n\n/* ===========================================================================\n * Send the header for a block using dynamic Huffman trees: the counts, the\n * lengths of the bit length codes, the literal tree and the distance tree.\n * IN assertion: lcodes >= 257, dcodes >= 1, blcodes >= 4.\n */\nconst send_all_trees = (s, lcodes, dcodes, blcodes) => {\n//    deflate_state *s;\n//    int lcodes, dcodes, blcodes; /* number of codes for each tree */\n\n  let rank;                    /* index in bl_order */\n\n  //Assert (lcodes >= 257 && dcodes >= 1 && blcodes >= 4, \"not enough codes\");\n  //Assert (lcodes <= L_CODES && dcodes <= D_CODES && blcodes <= BL_CODES,\n  //        \"too many codes\");\n  //Tracev((stderr, \"\\nbl counts: \"));\n  send_bits(s, lcodes - 257, 5); /* not +255 as stated in appnote.txt */\n  send_bits(s, dcodes - 1,   5);\n  send_bits(s, blcodes - 4,  4); /* not -3 as stated in appnote.txt */\n  for (rank = 0; rank < blcodes; rank++) {\n    //Tracev((stderr, \"\\nbl code %2d \", bl_order[rank]));\n    send_bits(s, s.bl_tree[bl_order[rank] * 2 + 1]/*.Len*/, 3);\n  }\n  //Tracev((stderr, \"\\nbl tree: sent %ld\", s->bits_sent));\n\n  send_tree(s, s.dyn_ltree, lcodes - 1); /* literal tree */\n  //Tracev((stderr, \"\\nlit tree: sent %ld\", s->bits_sent));\n\n  send_tree(s, s.dyn_dtree, dcodes - 1); /* distance tree */\n  //Tracev((stderr, \"\\ndist tree: sent %ld\", s->bits_sent));\n};\n\n\n/* ===========================================================================\n * Check if the data type is TEXT or BINARY, using the following algorithm:\n * - TEXT if the two conditions below are satisfied:\n *    a) There are no non-portable control characters belonging to the\n *       \"block list\" (0..6, 14..25, 28..31).\n *    b) There is at least one printable character belonging to the\n *       \"allow list\" (9 {TAB}, 10 {LF}, 13 {CR}, 32..255).\n * - BINARY otherwise.\n * - The following partially-portable control characters form a\n *   \"gray list\" that is ignored in this detection algorithm:\n *   (7 {BEL}, 8 {BS}, 11 {VT}, 12 {FF}, 26 {SUB}, 27 {ESC}).\n * IN assertion: the fields Freq of dyn_ltree are set.\n */\nconst detect_data_type = (s) => {\n  /* block_mask is the bit mask of block-listed bytes\n   * set bits 0..6, 14..25, and 28..31\n   * 0xf3ffc07f = binary 11110011111111111100000001111111\n   */\n  let block_mask = 0xf3ffc07f;\n  let n;\n\n  /* Check for non-textual (\"block-listed\") bytes. */\n  for (n = 0; n <= 31; n++, block_mask >>>= 1) {\n    if ((block_mask & 1) && (s.dyn_ltree[n * 2]/*.Freq*/ !== 0)) {\n      return Z_BINARY;\n    }\n  }\n\n  /* Check for textual (\"allow-listed\") bytes. */\n  if (s.dyn_ltree[9 * 2]/*.Freq*/ !== 0 || s.dyn_ltree[10 * 2]/*.Freq*/ !== 0 ||\n      s.dyn_ltree[13 * 2]/*.Freq*/ !== 0) {\n    return Z_TEXT;\n  }\n  for (n = 32; n < LITERALS$1; n++) {\n    if (s.dyn_ltree[n * 2]/*.Freq*/ !== 0) {\n      return Z_TEXT;\n    }\n  }\n\n  /* There are no \"block-listed\" or \"allow-listed\" bytes:\n   * this stream either is empty or has tolerated (\"gray-listed\") bytes only.\n   */\n  return Z_BINARY;\n};\n\n\nlet static_init_done = false;\n\n/* ===========================================================================\n * Initialize the tree data structures for a new zlib stream.\n */\nconst _tr_init$1 = (s) =>\n{\n\n  if (!static_init_done) {\n    tr_static_init();\n    static_init_done = true;\n  }\n\n  s.l_desc  = new TreeDesc(s.dyn_ltree, static_l_desc);\n  s.d_desc  = new TreeDesc(s.dyn_dtree, static_d_desc);\n  s.bl_desc = new TreeDesc(s.bl_tree, static_bl_desc);\n\n  s.bi_buf = 0;\n  s.bi_valid = 0;\n\n  /* Initialize the first block of the first file: */\n  init_block(s);\n};\n\n\n/* ===========================================================================\n * Send a stored block\n */\nconst _tr_stored_block$1 = (s, buf, stored_len, last) => {\n//DeflateState *s;\n//charf *buf;       /* input block */\n//ulg stored_len;   /* length of input block */\n//int last;         /* one if this is the last block for a file */\n\n  send_bits(s, (STORED_BLOCK << 1) + (last ? 1 : 0), 3);    /* send block type */\n  bi_windup(s);        /* align on byte boundary */\n  put_short(s, stored_len);\n  put_short(s, ~stored_len);\n  if (stored_len) {\n    s.pending_buf.set(s.window.subarray(buf, buf + stored_len), s.pending);\n  }\n  s.pending += stored_len;\n};\n\n\n/* ===========================================================================\n * Send one empty static block to give enough lookahead for inflate.\n * This takes 10 bits, of which 7 may remain in the bit buffer.\n */\nconst _tr_align$1 = (s) => {\n  send_bits(s, STATIC_TREES << 1, 3);\n  send_code(s, END_BLOCK, static_ltree);\n  bi_flush(s);\n};\n\n\n/* ===========================================================================\n * Determine the best encoding for the current block: dynamic trees, static\n * trees or store, and write out the encoded block.\n */\nconst _tr_flush_block$1 = (s, buf, stored_len, last) => {\n//DeflateState *s;\n//charf *buf;       /* input block, or NULL if too old */\n//ulg stored_len;   /* length of input block */\n//int last;         /* one if this is the last block for a file */\n\n  let opt_lenb, static_lenb;  /* opt_len and static_len in bytes */\n  let max_blindex = 0;        /* index of last bit length code of non zero freq */\n\n  /* Build the Huffman trees unless a stored block is forced */\n  if (s.level > 0) {\n\n    /* Check if the file is binary or text */\n    if (s.strm.data_type === Z_UNKNOWN$1) {\n      s.strm.data_type = detect_data_type(s);\n    }\n\n    /* Construct the literal and distance trees */\n    build_tree(s, s.l_desc);\n    // Tracev((stderr, \"\\nlit data: dyn %ld, stat %ld\", s->opt_len,\n    //        s->static_len));\n\n    build_tree(s, s.d_desc);\n    // Tracev((stderr, \"\\ndist data: dyn %ld, stat %ld\", s->opt_len,\n    //        s->static_len));\n    /* At this point, opt_len and static_len are the total bit lengths of\n     * the compressed block data, excluding the tree representations.\n     */\n\n    /* Build the bit length tree for the above two trees, and get the index\n     * in bl_order of the last bit length code to send.\n     */\n    max_blindex = build_bl_tree(s);\n\n    /* Determine the best encoding. Compute the block lengths in bytes. */\n    opt_lenb = (s.opt_len + 3 + 7) >>> 3;\n    static_lenb = (s.static_len + 3 + 7) >>> 3;\n\n    // Tracev((stderr, \"\\nopt %lu(%lu) stat %lu(%lu) stored %lu lit %u \",\n    //        opt_lenb, s->opt_len, static_lenb, s->static_len, stored_len,\n    //        s->sym_next / 3));\n\n    if (static_lenb <= opt_lenb) { opt_lenb = static_lenb; }\n\n  } else {\n    // Assert(buf != (char*)0, \"lost buf\");\n    opt_lenb = static_lenb = stored_len + 5; /* force a stored block */\n  }\n\n  if ((stored_len + 4 <= opt_lenb) && (buf !== -1)) {\n    /* 4: two words for the lengths */\n\n    /* The test buf != NULL is only necessary if LIT_BUFSIZE > WSIZE.\n     * Otherwise we can't have processed more than WSIZE input bytes since\n     * the last block flush, because compression would have been\n     * successful. If LIT_BUFSIZE <= WSIZE, it is never too late to\n     * transform a block into a stored block.\n     */\n    _tr_stored_block$1(s, buf, stored_len, last);\n\n  } else if (s.strategy === Z_FIXED$1 || static_lenb === opt_lenb) {\n\n    send_bits(s, (STATIC_TREES << 1) + (last ? 1 : 0), 3);\n    compress_block(s, static_ltree, static_dtree);\n\n  } else {\n    send_bits(s, (DYN_TREES << 1) + (last ? 1 : 0), 3);\n    send_all_trees(s, s.l_desc.max_code + 1, s.d_desc.max_code + 1, max_blindex + 1);\n    compress_block(s, s.dyn_ltree, s.dyn_dtree);\n  }\n  // Assert (s->compressed_len == s->bits_sent, \"bad compressed size\");\n  /* The above check is made mod 2^32, for files larger than 512 MB\n   * and uLong implemented on 32 bits.\n   */\n  init_block(s);\n\n  if (last) {\n    bi_windup(s);\n  }\n  // Tracev((stderr,\"\\ncomprlen %lu(%lu) \", s->compressed_len>>3,\n  //       s->compressed_len-7*last));\n};\n\n/* ===========================================================================\n * Save the match info and tally the frequency counts. Return true if\n * the current block must be flushed.\n */\nconst _tr_tally$1 = (s, dist, lc) => {\n//    deflate_state *s;\n//    unsigned dist;  /* distance of matched string */\n//    unsigned lc;    /* match length-MIN_MATCH or unmatched char (if dist==0) */\n\n  s.pending_buf[s.sym_buf + s.sym_next++] = dist;\n  s.pending_buf[s.sym_buf + s.sym_next++] = dist >> 8;\n  s.pending_buf[s.sym_buf + s.sym_next++] = lc;\n  if (dist === 0) {\n    /* lc is the unmatched char */\n    s.dyn_ltree[lc * 2]/*.Freq*/++;\n  } else {\n    s.matches++;\n    /* Here, lc is the match length - MIN_MATCH */\n    dist--;             /* dist = match distance - 1 */\n    //Assert((ush)dist < (ush)MAX_DIST(s) &&\n    //       (ush)lc <= (ush)(MAX_MATCH-MIN_MATCH) &&\n    //       (ush)d_code(dist) < (ush)D_CODES,  \"_tr_tally: bad match\");\n\n    s.dyn_ltree[(_length_code[lc] + LITERALS$1 + 1) * 2]/*.Freq*/++;\n    s.dyn_dtree[d_code(dist) * 2]/*.Freq*/++;\n  }\n\n  return (s.sym_next === s.sym_end);\n};\n\nvar _tr_init_1  = _tr_init$1;\nvar _tr_stored_block_1 = _tr_stored_block$1;\nvar _tr_flush_block_1  = _tr_flush_block$1;\nvar _tr_tally_1 = _tr_tally$1;\nvar _tr_align_1 = _tr_align$1;\n\nvar trees = {\n\t_tr_init: _tr_init_1,\n\t_tr_stored_block: _tr_stored_block_1,\n\t_tr_flush_block: _tr_flush_block_1,\n\t_tr_tally: _tr_tally_1,\n\t_tr_align: _tr_align_1\n};\n\n// Note: adler32 takes 12% for level 0 and 2% for level 6.\n// It isn't worth it to make additional optimizations as in original.\n// Small size is preferable.\n\n// (C) 1995-2013 Jean-loup Gailly and Mark Adler\n// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin\n//\n// This software is provided 'as-is', without any express or implied\n// warranty. In no event will the authors be held liable for any damages\n// arising from the use of this software.\n//\n// Permission is granted to anyone to use this software for any purpose,\n// including commercial applications, and to alter it and redistribute it\n// freely, subject to the following restrictions:\n//\n// 1. The origin of this software must not be misrepresented; you must not\n//   claim that you wrote the original software. If you use this software\n//   in a product, an acknowledgment in the product documentation would be\n//   appreciated but is not required.\n// 2. Altered source versions must be plainly marked as such, and must not be\n//   misrepresented as being the original software.\n// 3. This notice may not be removed or altered from any source distribution.\n\nconst adler32 = (adler, buf, len, pos) => {\n  let s1 = (adler & 0xffff) |0,\n      s2 = ((adler >>> 16) & 0xffff) |0,\n      n = 0;\n\n  while (len !== 0) {\n    // Set limit ~ twice less than 5552, to keep\n    // s2 in 31-bits, because we force signed ints.\n    // in other case %= will fail.\n    n = len > 2000 ? 2000 : len;\n    len -= n;\n\n    do {\n      s1 = (s1 + buf[pos++]) |0;\n      s2 = (s2 + s1) |0;\n    } while (--n);\n\n    s1 %= 65521;\n    s2 %= 65521;\n  }\n\n  return (s1 | (s2 << 16)) |0;\n};\n\n\nvar adler32_1 = adler32;\n\n// Note: we can't get significant speed boost here.\n// So write code to minimize size - no pregenerated tables\n// and array tools dependencies.\n\n// (C) 1995-2013 Jean-loup Gailly and Mark Adler\n// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin\n//\n// This software is provided 'as-is', without any express or implied\n// warranty. In no event will the authors be held liable for any damages\n// arising from the use of this software.\n//\n// Permission is granted to anyone to use this software for any purpose,\n// including commercial applications, and to alter it and redistribute it\n// freely, subject to the following restrictions:\n//\n// 1. The origin of this software must not be misrepresented; you must not\n//   claim that you wrote the original software. If you use this software\n//   in a product, an acknowledgment in the product documentation would be\n//   appreciated but is not required.\n// 2. Altered source versions must be plainly marked as such, and must not be\n//   misrepresented as being the original software.\n// 3. This notice may not be removed or altered from any source distribution.\n\n// Use ordinary array, since untyped makes no boost here\nconst makeTable = () => {\n  let c, table = [];\n\n  for (var n = 0; n < 256; n++) {\n    c = n;\n    for (var k = 0; k < 8; k++) {\n      c = ((c & 1) ? (0xEDB88320 ^ (c >>> 1)) : (c >>> 1));\n    }\n    table[n] = c;\n  }\n\n  return table;\n};\n\n// Create table on load. Just 255 signed longs. Not a problem.\nconst crcTable = new Uint32Array(makeTable());\n\n\nconst crc32 = (crc, buf, len, pos) => {\n  const t = crcTable;\n  const end = pos + len;\n\n  crc ^= -1;\n\n  for (let i = pos; i < end; i++) {\n    crc = (crc >>> 8) ^ t[(crc ^ buf[i]) & 0xFF];\n  }\n\n  return (crc ^ (-1)); // >>> 0;\n};\n\n\nvar crc32_1 = crc32;\n\n// (C) 1995-2013 Jean-loup Gailly and Mark Adler\n// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin\n//\n// This software is provided 'as-is', without any express or implied\n// warranty. In no event will the authors be held liable for any damages\n// arising from the use of this software.\n//\n// Permission is granted to anyone to use this software for any purpose,\n// including commercial applications, and to alter it and redistribute it\n// freely, subject to the following restrictions:\n//\n// 1. The origin of this software must not be misrepresented; you must not\n//   claim that you wrote the original software. If you use this software\n//   in a product, an acknowledgment in the product documentation would be\n//   appreciated but is not required.\n// 2. Altered source versions must be plainly marked as such, and must not be\n//   misrepresented as being the original software.\n// 3. This notice may not be removed or altered from any source distribution.\n\nvar messages = {\n  2:      'need dictionary',     /* Z_NEED_DICT       2  */\n  1:      'stream end',          /* Z_STREAM_END      1  */\n  0:      '',                    /* Z_OK              0  */\n  '-1':   'file error',          /* Z_ERRNO         (-1) */\n  '-2':   'stream error',        /* Z_STREAM_ERROR  (-2) */\n  '-3':   'data error',          /* Z_DATA_ERROR    (-3) */\n  '-4':   'insufficient memory', /* Z_MEM_ERROR     (-4) */\n  '-5':   'buffer error',        /* Z_BUF_ERROR     (-5) */\n  '-6':   'incompatible version' /* Z_VERSION_ERROR (-6) */\n};\n\n// (C) 1995-2013 Jean-loup Gailly and Mark Adler\n// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin\n//\n// This software is provided 'as-is', without any express or implied\n// warranty. In no event will the authors be held liable for any damages\n// arising from the use of this software.\n//\n// Permission is granted to anyone to use this software for any purpose,\n// including commercial applications, and to alter it and redistribute it\n// freely, subject to the following restrictions:\n//\n// 1. The origin of this software must not be misrepresented; you must not\n//   claim that you wrote the original software. If you use this software\n//   in a product, an acknowledgment in the product documentation would be\n//   appreciated but is not required.\n// 2. Altered source versions must be plainly marked as such, and must not be\n//   misrepresented as being the original software.\n// 3. This notice may not be removed or altered from any source distribution.\n\nvar constants$2 = {\n\n  /* Allowed flush values; see deflate() and inflate() below for details */\n  Z_NO_FLUSH:         0,\n  Z_PARTIAL_FLUSH:    1,\n  Z_SYNC_FLUSH:       2,\n  Z_FULL_FLUSH:       3,\n  Z_FINISH:           4,\n  Z_BLOCK:            5,\n  Z_TREES:            6,\n\n  /* Return codes for the compression/decompression functions. Negative values\n  * are errors, positive values are used for special but normal events.\n  */\n  Z_OK:               0,\n  Z_STREAM_END:       1,\n  Z_NEED_DICT:        2,\n  Z_ERRNO:           -1,\n  Z_STREAM_ERROR:    -2,\n  Z_DATA_ERROR:      -3,\n  Z_MEM_ERROR:       -4,\n  Z_BUF_ERROR:       -5,\n  //Z_VERSION_ERROR: -6,\n\n  /* compression levels */\n  Z_NO_COMPRESSION:         0,\n  Z_BEST_SPEED:             1,\n  Z_BEST_COMPRESSION:       9,\n  Z_DEFAULT_COMPRESSION:   -1,\n\n\n  Z_FILTERED:               1,\n  Z_HUFFMAN_ONLY:           2,\n  Z_RLE:                    3,\n  Z_FIXED:                  4,\n  Z_DEFAULT_STRATEGY:       0,\n\n  /* Possible values of the data_type field (though see inflate()) */\n  Z_BINARY:                 0,\n  Z_TEXT:                   1,\n  //Z_ASCII:                1, // = Z_TEXT (deprecated)\n  Z_UNKNOWN:                2,\n\n  /* The deflate compression method */\n  Z_DEFLATED:               8\n  //Z_NULL:                 null // Use -1 or null inline, depending on var type\n};\n\n// (C) 1995-2013 Jean-loup Gailly and Mark Adler\n// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin\n//\n// This software is provided 'as-is', without any express or implied\n// warranty. In no event will the authors be held liable for any damages\n// arising from the use of this software.\n//\n// Permission is granted to anyone to use this software for any purpose,\n// including commercial applications, and to alter it and redistribute it\n// freely, subject to the following restrictions:\n//\n// 1. The origin of this software must not be misrepresented; you must not\n//   claim that you wrote the original software. If you use this software\n//   in a product, an acknowledgment in the product documentation would be\n//   appreciated but is not required.\n// 2. Altered source versions must be plainly marked as such, and must not be\n//   misrepresented as being the original software.\n// 3. This notice may not be removed or altered from any source distribution.\n\nconst { _tr_init, _tr_stored_block, _tr_flush_block, _tr_tally, _tr_align } = trees;\n\n\n\n\n/* Public constants ==========================================================*/\n/* ===========================================================================*/\n\nconst {\n  Z_NO_FLUSH: Z_NO_FLUSH$2, Z_PARTIAL_FLUSH, Z_FULL_FLUSH: Z_FULL_FLUSH$1, Z_FINISH: Z_FINISH$3, Z_BLOCK: Z_BLOCK$1,\n  Z_OK: Z_OK$3, Z_STREAM_END: Z_STREAM_END$3, Z_STREAM_ERROR: Z_STREAM_ERROR$2, Z_DATA_ERROR: Z_DATA_ERROR$2, Z_BUF_ERROR: Z_BUF_ERROR$1,\n  Z_DEFAULT_COMPRESSION: Z_DEFAULT_COMPRESSION$1,\n  Z_FILTERED, Z_HUFFMAN_ONLY, Z_RLE, Z_FIXED, Z_DEFAULT_STRATEGY: Z_DEFAULT_STRATEGY$1,\n  Z_UNKNOWN,\n  Z_DEFLATED: Z_DEFLATED$2\n} = constants$2;\n\n/*============================================================================*/\n\n\nconst MAX_MEM_LEVEL = 9;\n/* Maximum value for memLevel in deflateInit2 */\nconst MAX_WBITS$1 = 15;\n/* 32K LZ77 window */\nconst DEF_MEM_LEVEL = 8;\n\n\nconst LENGTH_CODES  = 29;\n/* number of length codes, not counting the special END_BLOCK code */\nconst LITERALS      = 256;\n/* number of literal bytes 0..255 */\nconst L_CODES       = LITERALS + 1 + LENGTH_CODES;\n/* number of Literal or Length codes, including the END_BLOCK code */\nconst D_CODES       = 30;\n/* number of distance codes */\nconst BL_CODES      = 19;\n/* number of codes used to transfer the bit lengths */\nconst HEAP_SIZE     = 2 * L_CODES + 1;\n/* maximum heap size */\nconst MAX_BITS  = 15;\n/* All codes must not exceed MAX_BITS bits */\n\nconst MIN_MATCH = 3;\nconst MAX_MATCH = 258;\nconst MIN_LOOKAHEAD = (MAX_MATCH + MIN_MATCH + 1);\n\nconst PRESET_DICT = 0x20;\n\nconst INIT_STATE    =  42;    /* zlib header -> BUSY_STATE */\n//#ifdef GZIP\nconst GZIP_STATE    =  57;    /* gzip header -> BUSY_STATE | EXTRA_STATE */\n//#endif\nconst EXTRA_STATE   =  69;    /* gzip extra block -> NAME_STATE */\nconst NAME_STATE    =  73;    /* gzip file name -> COMMENT_STATE */\nconst COMMENT_STATE =  91;    /* gzip comment -> HCRC_STATE */\nconst HCRC_STATE    = 103;    /* gzip header CRC -> BUSY_STATE */\nconst BUSY_STATE    = 113;    /* deflate -> FINISH_STATE */\nconst FINISH_STATE  = 666;    /* stream complete */\n\nconst BS_NEED_MORE      = 1; /* block not completed, need more input or more output */\nconst BS_BLOCK_DONE     = 2; /* block flush performed */\nconst BS_FINISH_STARTED = 3; /* finish started, need only more output at next deflate */\nconst BS_FINISH_DONE    = 4; /* finish done, accept no more input or output */\n\nconst OS_CODE = 0x03; // Unix :) . Don't detect, use this default.\n\nconst err = (strm, errorCode) => {\n  strm.msg = messages[errorCode];\n  return errorCode;\n};\n\nconst rank = (f) => {\n  return ((f) * 2) - ((f) > 4 ? 9 : 0);\n};\n\nconst zero = (buf) => {\n  let len = buf.length; while (--len >= 0) { buf[len] = 0; }\n};\n\n/* ===========================================================================\n * Slide the hash table when sliding the window down (could be avoided with 32\n * bit values at the expense of memory usage). We slide even when level == 0 to\n * keep the hash table consistent if we switch back to level > 0 later.\n */\nconst slide_hash = (s) => {\n  let n, m;\n  let p;\n  let wsize = s.w_size;\n\n  n = s.hash_size;\n  p = n;\n  do {\n    m = s.head[--p];\n    s.head[p] = (m >= wsize ? m - wsize : 0);\n  } while (--n);\n  n = wsize;\n//#ifndef FASTEST\n  p = n;\n  do {\n    m = s.prev[--p];\n    s.prev[p] = (m >= wsize ? m - wsize : 0);\n    /* If n is not on any hash chain, prev[n] is garbage but\n     * its value will never be used.\n     */\n  } while (--n);\n//#endif\n};\n\n/* eslint-disable new-cap */\nlet HASH_ZLIB = (s, prev, data) => ((prev << s.hash_shift) ^ data) & s.hash_mask;\n// This hash causes less collisions, https://github.com/nodeca/pako/issues/135\n// But breaks binary compatibility\n//let HASH_FAST = (s, prev, data) => ((prev << 8) + (prev >> 8) + (data << 4)) & s.hash_mask;\nlet HASH = HASH_ZLIB;\n\n\n/* =========================================================================\n * Flush as much pending output as possible. All deflate() output, except for\n * some deflate_stored() output, goes through this function so some\n * applications may wish to modify it to avoid allocating a large\n * strm->next_out buffer and copying into it. (See also read_buf()).\n */\nconst flush_pending = (strm) => {\n  const s = strm.state;\n\n  //_tr_flush_bits(s);\n  let len = s.pending;\n  if (len > strm.avail_out) {\n    len = strm.avail_out;\n  }\n  if (len === 0) { return; }\n\n  strm.output.set(s.pending_buf.subarray(s.pending_out, s.pending_out + len), strm.next_out);\n  strm.next_out  += len;\n  s.pending_out  += len;\n  strm.total_out += len;\n  strm.avail_out -= len;\n  s.pending      -= len;\n  if (s.pending === 0) {\n    s.pending_out = 0;\n  }\n};\n\n\nconst flush_block_only = (s, last) => {\n  _tr_flush_block(s, (s.block_start >= 0 ? s.block_start : -1), s.strstart - s.block_start, last);\n  s.block_start = s.strstart;\n  flush_pending(s.strm);\n};\n\n\nconst put_byte = (s, b) => {\n  s.pending_buf[s.pending++] = b;\n};\n\n\n/* =========================================================================\n * Put a short in the pending buffer. The 16-bit value is put in MSB order.\n * IN assertion: the stream state is correct and there is enough room in\n * pending_buf.\n */\nconst putShortMSB = (s, b) => {\n\n  //  put_byte(s, (Byte)(b >> 8));\n//  put_byte(s, (Byte)(b & 0xff));\n  s.pending_buf[s.pending++] = (b >>> 8) & 0xff;\n  s.pending_buf[s.pending++] = b & 0xff;\n};\n\n\n/* ===========================================================================\n * Read a new buffer from the current input stream, update the adler32\n * and total number of bytes read.  All deflate() input goes through\n * this function so some applications may wish to modify it to avoid\n * allocating a large strm->input buffer and copying from it.\n * (See also flush_pending()).\n */\nconst read_buf = (strm, buf, start, size) => {\n\n  let len = strm.avail_in;\n\n  if (len > size) { len = size; }\n  if (len === 0) { return 0; }\n\n  strm.avail_in -= len;\n\n  // zmemcpy(buf, strm->next_in, len);\n  buf.set(strm.input.subarray(strm.next_in, strm.next_in + len), start);\n  if (strm.state.wrap === 1) {\n    strm.adler = adler32_1(strm.adler, buf, len, start);\n  }\n\n  else if (strm.state.wrap === 2) {\n    strm.adler = crc32_1(strm.adler, buf, len, start);\n  }\n\n  strm.next_in += len;\n  strm.total_in += len;\n\n  return len;\n};\n\n\n/* ===========================================================================\n * Set match_start to the longest match starting at the given string and\n * return its length. Matches shorter or equal to prev_length are discarded,\n * in which case the result is equal to prev_length and match_start is\n * garbage.\n * IN assertions: cur_match is the head of the hash chain for the current\n *   string (strstart) and its distance is <= MAX_DIST, and prev_length >= 1\n * OUT assertion: the match length is not greater than s->lookahead.\n */\nconst longest_match = (s, cur_match) => {\n\n  let chain_length = s.max_chain_length;      /* max hash chain length */\n  let scan = s.strstart; /* current string */\n  let match;                       /* matched string */\n  let len;                           /* length of current match */\n  let best_len = s.prev_length;              /* best match length so far */\n  let nice_match = s.nice_match;             /* stop if match long enough */\n  const limit = (s.strstart > (s.w_size - MIN_LOOKAHEAD)) ?\n      s.strstart - (s.w_size - MIN_LOOKAHEAD) : 0/*NIL*/;\n\n  const _win = s.window; // shortcut\n\n  const wmask = s.w_mask;\n  const prev  = s.prev;\n\n  /* Stop when cur_match becomes <= limit. To simplify the code,\n   * we prevent matches with the string of window index 0.\n   */\n\n  const strend = s.strstart + MAX_MATCH;\n  let scan_end1  = _win[scan + best_len - 1];\n  let scan_end   = _win[scan + best_len];\n\n  /* The code is optimized for HASH_BITS >= 8 and MAX_MATCH-2 multiple of 16.\n   * It is easy to get rid of this optimization if necessary.\n   */\n  // Assert(s->hash_bits >= 8 && MAX_MATCH == 258, \"Code too clever\");\n\n  /* Do not waste too much time if we already have a good match: */\n  if (s.prev_length >= s.good_match) {\n    chain_length >>= 2;\n  }\n  /* Do not look for matches beyond the end of the input. This is necessary\n   * to make deflate deterministic.\n   */\n  if (nice_match > s.lookahead) { nice_match = s.lookahead; }\n\n  // Assert((ulg)s->strstart <= s->window_size-MIN_LOOKAHEAD, \"need lookahead\");\n\n  do {\n    // Assert(cur_match < s->strstart, \"no future\");\n    match = cur_match;\n\n    /* Skip to next match if the match length cannot increase\n     * or if the match length is less than 2.  Note that the checks below\n     * for insufficient lookahead only occur occasionally for performance\n     * reasons.  Therefore uninitialized memory will be accessed, and\n     * conditional jumps will be made that depend on those values.\n     * However the length of the match is limited to the lookahead, so\n     * the output of deflate is not affected by the uninitialized values.\n     */\n\n    if (_win[match + best_len]     !== scan_end  ||\n        _win[match + best_len - 1] !== scan_end1 ||\n        _win[match]                !== _win[scan] ||\n        _win[++match]              !== _win[scan + 1]) {\n      continue;\n    }\n\n    /* The check at best_len-1 can be removed because it will be made\n     * again later. (This heuristic is not always a win.)\n     * It is not necessary to compare scan[2] and match[2] since they\n     * are always equal when the other bytes match, given that\n     * the hash keys are equal and that HASH_BITS >= 8.\n     */\n    scan += 2;\n    match++;\n    // Assert(*scan == *match, \"match[2]?\");\n\n    /* We check for insufficient lookahead only every 8th comparison;\n     * the 256th check will be made at strstart+258.\n     */\n    do {\n      /*jshint noempty:false*/\n    } while (_win[++scan] === _win[++match] && _win[++scan] === _win[++match] &&\n             _win[++scan] === _win[++match] && _win[++scan] === _win[++match] &&\n             _win[++scan] === _win[++match] && _win[++scan] === _win[++match] &&\n             _win[++scan] === _win[++match] && _win[++scan] === _win[++match] &&\n             scan < strend);\n\n    // Assert(scan <= s->window+(unsigned)(s->window_size-1), \"wild scan\");\n\n    len = MAX_MATCH - (strend - scan);\n    scan = strend - MAX_MATCH;\n\n    if (len > best_len) {\n      s.match_start = cur_match;\n      best_len = len;\n      if (len >= nice_match) {\n        break;\n      }\n      scan_end1  = _win[scan + best_len - 1];\n      scan_end   = _win[scan + best_len];\n    }\n  } while ((cur_match = prev[cur_match & wmask]) > limit && --chain_length !== 0);\n\n  if (best_len <= s.lookahead) {\n    return best_len;\n  }\n  return s.lookahead;\n};\n\n\n/* ===========================================================================\n * Fill the window when the lookahead becomes insufficient.\n * Updates strstart and lookahead.\n *\n * IN assertion: lookahead < MIN_LOOKAHEAD\n * OUT assertions: strstart <= window_size-MIN_LOOKAHEAD\n *    At least one byte has been read, or avail_in == 0; reads are\n *    performed for at least two bytes (required for the zip translate_eol\n *    option -- not supported here).\n */\nconst fill_window = (s) => {\n\n  const _w_size = s.w_size;\n  let n, more, str;\n\n  //Assert(s->lookahead < MIN_LOOKAHEAD, \"already enough lookahead\");\n\n  do {\n    more = s.window_size - s.lookahead - s.strstart;\n\n    // JS ints have 32 bit, block below not needed\n    /* Deal with !@#$% 64K limit: */\n    //if (sizeof(int) <= 2) {\n    //    if (more == 0 && s->strstart == 0 && s->lookahead == 0) {\n    //        more = wsize;\n    //\n    //  } else if (more == (unsigned)(-1)) {\n    //        /* Very unlikely, but possible on 16 bit machine if\n    //         * strstart == 0 && lookahead == 1 (input done a byte at time)\n    //         */\n    //        more--;\n    //    }\n    //}\n\n\n    /* If the window is almost full and there is insufficient lookahead,\n     * move the upper half to the lower one to make room in the upper half.\n     */\n    if (s.strstart >= _w_size + (_w_size - MIN_LOOKAHEAD)) {\n\n      s.window.set(s.window.subarray(_w_size, _w_size + _w_size - more), 0);\n      s.match_start -= _w_size;\n      s.strstart -= _w_size;\n      /* we now have strstart >= MAX_DIST */\n      s.block_start -= _w_size;\n      if (s.insert > s.strstart) {\n        s.insert = s.strstart;\n      }\n      slide_hash(s);\n      more += _w_size;\n    }\n    if (s.strm.avail_in === 0) {\n      break;\n    }\n\n    /* If there was no sliding:\n     *    strstart <= WSIZE+MAX_DIST-1 && lookahead <= MIN_LOOKAHEAD - 1 &&\n     *    more == window_size - lookahead - strstart\n     * => more >= window_size - (MIN_LOOKAHEAD-1 + WSIZE + MAX_DIST-1)\n     * => more >= window_size - 2*WSIZE + 2\n     * In the BIG_MEM or MMAP case (not yet supported),\n     *   window_size == input_size + MIN_LOOKAHEAD  &&\n     *   strstart + s->lookahead <= input_size => more >= MIN_LOOKAHEAD.\n     * Otherwise, window_size == 2*WSIZE so more >= 2.\n     * If there was sliding, more >= WSIZE. So in all cases, more >= 2.\n     */\n    //Assert(more >= 2, \"more < 2\");\n    n = read_buf(s.strm, s.window, s.strstart + s.lookahead, more);\n    s.lookahead += n;\n\n    /* Initialize the hash value now that we have some input: */\n    if (s.lookahead + s.insert >= MIN_MATCH) {\n      str = s.strstart - s.insert;\n      s.ins_h = s.window[str];\n\n      /* UPDATE_HASH(s, s->ins_h, s->window[str + 1]); */\n      s.ins_h = HASH(s, s.ins_h, s.window[str + 1]);\n//#if MIN_MATCH != 3\n//        Call update_hash() MIN_MATCH-3 more times\n//#endif\n      while (s.insert) {\n        /* UPDATE_HASH(s, s->ins_h, s->window[str + MIN_MATCH-1]); */\n        s.ins_h = HASH(s, s.ins_h, s.window[str + MIN_MATCH - 1]);\n\n        s.prev[str & s.w_mask] = s.head[s.ins_h];\n        s.head[s.ins_h] = str;\n        str++;\n        s.insert--;\n        if (s.lookahead + s.insert < MIN_MATCH) {\n          break;\n        }\n      }\n    }\n    /* If the whole input has less than MIN_MATCH bytes, ins_h is garbage,\n     * but this is not important since only literal bytes will be emitted.\n     */\n\n  } while (s.lookahead < MIN_LOOKAHEAD && s.strm.avail_in !== 0);\n\n  /* If the WIN_INIT bytes after the end of the current data have never been\n   * written, then zero those bytes in order to avoid memory check reports of\n   * the use of uninitialized (or uninitialised as Julian writes) bytes by\n   * the longest match routines.  Update the high water mark for the next\n   * time through here.  WIN_INIT is set to MAX_MATCH since the longest match\n   * routines allow scanning to strstart + MAX_MATCH, ignoring lookahead.\n   */\n//  if (s.high_water < s.window_size) {\n//    const curr = s.strstart + s.lookahead;\n//    let init = 0;\n//\n//    if (s.high_water < curr) {\n//      /* Previous high water mark below current data -- zero WIN_INIT\n//       * bytes or up to end of window, whichever is less.\n//       */\n//      init = s.window_size - curr;\n//      if (init > WIN_INIT)\n//        init = WIN_INIT;\n//      zmemzero(s->window + curr, (unsigned)init);\n//      s->high_water = curr + init;\n//    }\n//    else if (s->high_water < (ulg)curr + WIN_INIT) {\n//      /* High water mark at or above current data, but below current data\n//       * plus WIN_INIT -- zero out to current data plus WIN_INIT, or up\n//       * to end of window, whichever is less.\n//       */\n//      init = (ulg)curr + WIN_INIT - s->high_water;\n//      if (init > s->window_size - s->high_water)\n//        init = s->window_size - s->high_water;\n//      zmemzero(s->window + s->high_water, (unsigned)init);\n//      s->high_water += init;\n//    }\n//  }\n//\n//  Assert((ulg)s->strstart <= s->window_size - MIN_LOOKAHEAD,\n//    \"not enough room for search\");\n};\n\n/* ===========================================================================\n * Copy without compression as much as possible from the input stream, return\n * the current block state.\n *\n * In case deflateParams() is used to later switch to a non-zero compression\n * level, s->matches (otherwise unused when storing) keeps track of the number\n * of hash table slides to perform. If s->matches is 1, then one hash table\n * slide will be done when switching. If s->matches is 2, the maximum value\n * allowed here, then the hash table will be cleared, since two or more slides\n * is the same as a clear.\n *\n * deflate_stored() is written to minimize the number of times an input byte is\n * copied. It is most efficient with large input and output buffers, which\n * maximizes the opportunites to have a single copy from next_in to next_out.\n */\nconst deflate_stored = (s, flush) => {\n\n  /* Smallest worthy block size when not flushing or finishing. By default\n   * this is 32K. This can be as small as 507 bytes for memLevel == 1. For\n   * large input and output buffers, the stored block size will be larger.\n   */\n  let min_block = s.pending_buf_size - 5 > s.w_size ? s.w_size : s.pending_buf_size - 5;\n\n  /* Copy as many min_block or larger stored blocks directly to next_out as\n   * possible. If flushing, copy the remaining available input to next_out as\n   * stored blocks, if there is enough space.\n   */\n  let len, left, have, last = 0;\n  let used = s.strm.avail_in;\n  do {\n    /* Set len to the maximum size block that we can copy directly with the\n     * available input data and output space. Set left to how much of that\n     * would be copied from what's left in the window.\n     */\n    len = 65535/* MAX_STORED */;     /* maximum deflate stored block length */\n    have = (s.bi_valid + 42) >> 3;     /* number of header bytes */\n    if (s.strm.avail_out < have) {         /* need room for header */\n      break;\n    }\n      /* maximum stored block length that will fit in avail_out: */\n    have = s.strm.avail_out - have;\n    left = s.strstart - s.block_start;  /* bytes left in window */\n    if (len > left + s.strm.avail_in) {\n      len = left + s.strm.avail_in;   /* limit len to the input */\n    }\n    if (len > have) {\n      len = have;             /* limit len to the output */\n    }\n\n    /* If the stored block would be less than min_block in length, or if\n     * unable to copy all of the available input when flushing, then try\n     * copying to the window and the pending buffer instead. Also don't\n     * write an empty block when flushing -- deflate() does that.\n     */\n    if (len < min_block && ((len === 0 && flush !== Z_FINISH$3) ||\n                        flush === Z_NO_FLUSH$2 ||\n                        len !== left + s.strm.avail_in)) {\n      break;\n    }\n\n    /* Make a dummy stored block in pending to get the header bytes,\n     * including any pending bits. This also updates the debugging counts.\n     */\n    last = flush === Z_FINISH$3 && len === left + s.strm.avail_in ? 1 : 0;\n    _tr_stored_block(s, 0, 0, last);\n\n    /* Replace the lengths in the dummy stored block with len. */\n    s.pending_buf[s.pending - 4] = len;\n    s.pending_buf[s.pending - 3] = len >> 8;\n    s.pending_buf[s.pending - 2] = ~len;\n    s.pending_buf[s.pending - 1] = ~len >> 8;\n\n    /* Write the stored block header bytes. */\n    flush_pending(s.strm);\n\n//#ifdef ZLIB_DEBUG\n//    /* Update debugging counts for the data about to be copied. */\n//    s->compressed_len += len << 3;\n//    s->bits_sent += len << 3;\n//#endif\n\n    /* Copy uncompressed bytes from the window to next_out. */\n    if (left) {\n      if (left > len) {\n        left = len;\n      }\n      //zmemcpy(s->strm->next_out, s->window + s->block_start, left);\n      s.strm.output.set(s.window.subarray(s.block_start, s.block_start + left), s.strm.next_out);\n      s.strm.next_out += left;\n      s.strm.avail_out -= left;\n      s.strm.total_out += left;\n      s.block_start += left;\n      len -= left;\n    }\n\n    /* Copy uncompressed bytes directly from next_in to next_out, updating\n     * the check value.\n     */\n    if (len) {\n      read_buf(s.strm, s.strm.output, s.strm.next_out, len);\n      s.strm.next_out += len;\n      s.strm.avail_out -= len;\n      s.strm.total_out += len;\n    }\n  } while (last === 0);\n\n  /* Update the sliding window with the last s->w_size bytes of the copied\n   * data, or append all of the copied data to the existing window if less\n   * than s->w_size bytes were copied. Also update the number of bytes to\n   * insert in the hash tables, in the event that deflateParams() switches to\n   * a non-zero compression level.\n   */\n  used -= s.strm.avail_in;    /* number of input bytes directly copied */\n  if (used) {\n    /* If any input was used, then no unused input remains in the window,\n     * therefore s->block_start == s->strstart.\n     */\n    if (used >= s.w_size) {  /* supplant the previous history */\n      s.matches = 2;     /* clear hash */\n      //zmemcpy(s->window, s->strm->next_in - s->w_size, s->w_size);\n      s.window.set(s.strm.input.subarray(s.strm.next_in - s.w_size, s.strm.next_in), 0);\n      s.strstart = s.w_size;\n      s.insert = s.strstart;\n    }\n    else {\n      if (s.window_size - s.strstart <= used) {\n        /* Slide the window down. */\n        s.strstart -= s.w_size;\n        //zmemcpy(s->window, s->window + s->w_size, s->strstart);\n        s.window.set(s.window.subarray(s.w_size, s.w_size + s.strstart), 0);\n        if (s.matches < 2) {\n          s.matches++;   /* add a pending slide_hash() */\n        }\n        if (s.insert > s.strstart) {\n          s.insert = s.strstart;\n        }\n      }\n      //zmemcpy(s->window + s->strstart, s->strm->next_in - used, used);\n      s.window.set(s.strm.input.subarray(s.strm.next_in - used, s.strm.next_in), s.strstart);\n      s.strstart += used;\n      s.insert += used > s.w_size - s.insert ? s.w_size - s.insert : used;\n    }\n    s.block_start = s.strstart;\n  }\n  if (s.high_water < s.strstart) {\n    s.high_water = s.strstart;\n  }\n\n  /* If the last block was written to next_out, then done. */\n  if (last) {\n    return BS_FINISH_DONE;\n  }\n\n  /* If flushing and all input has been consumed, then done. */\n  if (flush !== Z_NO_FLUSH$2 && flush !== Z_FINISH$3 &&\n    s.strm.avail_in === 0 && s.strstart === s.block_start) {\n    return BS_BLOCK_DONE;\n  }\n\n  /* Fill the window with any remaining input. */\n  have = s.window_size - s.strstart;\n  if (s.strm.avail_in > have && s.block_start >= s.w_size) {\n    /* Slide the window down. */\n    s.block_start -= s.w_size;\n    s.strstart -= s.w_size;\n    //zmemcpy(s->window, s->window + s->w_size, s->strstart);\n    s.window.set(s.window.subarray(s.w_size, s.w_size + s.strstart), 0);\n    if (s.matches < 2) {\n      s.matches++;       /* add a pending slide_hash() */\n    }\n    have += s.w_size;      /* more space now */\n    if (s.insert > s.strstart) {\n      s.insert = s.strstart;\n    }\n  }\n  if (have > s.strm.avail_in) {\n    have = s.strm.avail_in;\n  }\n  if (have) {\n    read_buf(s.strm, s.window, s.strstart, have);\n    s.strstart += have;\n    s.insert += have > s.w_size - s.insert ? s.w_size - s.insert : have;\n  }\n  if (s.high_water < s.strstart) {\n    s.high_water = s.strstart;\n  }\n\n  /* There was not enough avail_out to write a complete worthy or flushed\n   * stored block to next_out. Write a stored block to pending instead, if we\n   * have enough input for a worthy block, or if flushing and there is enough\n   * room for the remaining input as a stored block in the pending buffer.\n   */\n  have = (s.bi_valid + 42) >> 3;     /* number of header bytes */\n    /* maximum stored block length that will fit in pending: */\n  have = s.pending_buf_size - have > 65535/* MAX_STORED */ ? 65535/* MAX_STORED */ : s.pending_buf_size - have;\n  min_block = have > s.w_size ? s.w_size : have;\n  left = s.strstart - s.block_start;\n  if (left >= min_block ||\n     ((left || flush === Z_FINISH$3) && flush !== Z_NO_FLUSH$2 &&\n     s.strm.avail_in === 0 && left <= have)) {\n    len = left > have ? have : left;\n    last = flush === Z_FINISH$3 && s.strm.avail_in === 0 &&\n         len === left ? 1 : 0;\n    _tr_stored_block(s, s.block_start, len, last);\n    s.block_start += len;\n    flush_pending(s.strm);\n  }\n\n  /* We've done all we can with the available input and output. */\n  return last ? BS_FINISH_STARTED : BS_NEED_MORE;\n};\n\n\n/* ===========================================================================\n * Compress as much as possible from the input stream, return the current\n * block state.\n * This function does not perform lazy evaluation of matches and inserts\n * new strings in the dictionary only for unmatched strings or for short\n * matches. It is used only for the fast compression options.\n */\nconst deflate_fast = (s, flush) => {\n\n  let hash_head;        /* head of the hash chain */\n  let bflush;           /* set if current block must be flushed */\n\n  for (;;) {\n    /* Make sure that we always have enough lookahead, except\n     * at the end of the input file. We need MAX_MATCH bytes\n     * for the next match, plus MIN_MATCH bytes to insert the\n     * string following the next match.\n     */\n    if (s.lookahead < MIN_LOOKAHEAD) {\n      fill_window(s);\n      if (s.lookahead < MIN_LOOKAHEAD && flush === Z_NO_FLUSH$2) {\n        return BS_NEED_MORE;\n      }\n      if (s.lookahead === 0) {\n        break; /* flush the current block */\n      }\n    }\n\n    /* Insert the string window[strstart .. strstart+2] in the\n     * dictionary, and set hash_head to the head of the hash chain:\n     */\n    hash_head = 0/*NIL*/;\n    if (s.lookahead >= MIN_MATCH) {\n      /*** INSERT_STRING(s, s.strstart, hash_head); ***/\n      s.ins_h = HASH(s, s.ins_h, s.window[s.strstart + MIN_MATCH - 1]);\n      hash_head = s.prev[s.strstart & s.w_mask] = s.head[s.ins_h];\n      s.head[s.ins_h] = s.strstart;\n      /***/\n    }\n\n    /* Find the longest match, discarding those <= prev_length.\n     * At this point we have always match_length < MIN_MATCH\n     */\n    if (hash_head !== 0/*NIL*/ && ((s.strstart - hash_head) <= (s.w_size - MIN_LOOKAHEAD))) {\n      /* To simplify the code, we prevent matches with the string\n       * of window index 0 (in particular we have to avoid a match\n       * of the string with itself at the start of the input file).\n       */\n      s.match_length = longest_match(s, hash_head);\n      /* longest_match() sets match_start */\n    }\n    if (s.match_length >= MIN_MATCH) {\n      // check_match(s, s.strstart, s.match_start, s.match_length); // for debug only\n\n      /*** _tr_tally_dist(s, s.strstart - s.match_start,\n                     s.match_length - MIN_MATCH, bflush); ***/\n      bflush = _tr_tally(s, s.strstart - s.match_start, s.match_length - MIN_MATCH);\n\n      s.lookahead -= s.match_length;\n\n      /* Insert new strings in the hash table only if the match length\n       * is not too large. This saves time but degrades compression.\n       */\n      if (s.match_length <= s.max_lazy_match/*max_insert_length*/ && s.lookahead >= MIN_MATCH) {\n        s.match_length--; /* string at strstart already in table */\n        do {\n          s.strstart++;\n          /*** INSERT_STRING(s, s.strstart, hash_head); ***/\n          s.ins_h = HASH(s, s.ins_h, s.window[s.strstart + MIN_MATCH - 1]);\n          hash_head = s.prev[s.strstart & s.w_mask] = s.head[s.ins_h];\n          s.head[s.ins_h] = s.strstart;\n          /***/\n          /* strstart never exceeds WSIZE-MAX_MATCH, so there are\n           * always MIN_MATCH bytes ahead.\n           */\n        } while (--s.match_length !== 0);\n        s.strstart++;\n      } else\n      {\n        s.strstart += s.match_length;\n        s.match_length = 0;\n        s.ins_h = s.window[s.strstart];\n        /* UPDATE_HASH(s, s.ins_h, s.window[s.strstart+1]); */\n        s.ins_h = HASH(s, s.ins_h, s.window[s.strstart + 1]);\n\n//#if MIN_MATCH != 3\n//                Call UPDATE_HASH() MIN_MATCH-3 more times\n//#endif\n        /* If lookahead < MIN_MATCH, ins_h is garbage, but it does not\n         * matter since it will be recomputed at next deflate call.\n         */\n      }\n    } else {\n      /* No match, output a literal byte */\n      //Tracevv((stderr,\"%c\", s.window[s.strstart]));\n      /*** _tr_tally_lit(s, s.window[s.strstart], bflush); ***/\n      bflush = _tr_tally(s, 0, s.window[s.strstart]);\n\n      s.lookahead--;\n      s.strstart++;\n    }\n    if (bflush) {\n      /*** FLUSH_BLOCK(s, 0); ***/\n      flush_block_only(s, false);\n      if (s.strm.avail_out === 0) {\n        return BS_NEED_MORE;\n      }\n      /***/\n    }\n  }\n  s.insert = ((s.strstart < (MIN_MATCH - 1)) ? s.strstart : MIN_MATCH - 1);\n  if (flush === Z_FINISH$3) {\n    /*** FLUSH_BLOCK(s, 1); ***/\n    flush_block_only(s, true);\n    if (s.strm.avail_out === 0) {\n      return BS_FINISH_STARTED;\n    }\n    /***/\n    return BS_FINISH_DONE;\n  }\n  if (s.sym_next) {\n    /*** FLUSH_BLOCK(s, 0); ***/\n    flush_block_only(s, false);\n    if (s.strm.avail_out === 0) {\n      return BS_NEED_MORE;\n    }\n    /***/\n  }\n  return BS_BLOCK_DONE;\n};\n\n/* ===========================================================================\n * Same as above, but achieves better compression. We use a lazy\n * evaluation for matches: a match is finally adopted only if there is\n * no better match at the next window position.\n */\nconst deflate_slow = (s, flush) => {\n\n  let hash_head;          /* head of hash chain */\n  let bflush;              /* set if current block must be flushed */\n\n  let max_insert;\n\n  /* Process the input block. */\n  for (;;) {\n    /* Make sure that we always have enough lookahead, except\n     * at the end of the input file. We need MAX_MATCH bytes\n     * for the next match, plus MIN_MATCH bytes to insert the\n     * string following the next match.\n     */\n    if (s.lookahead < MIN_LOOKAHEAD) {\n      fill_window(s);\n      if (s.lookahead < MIN_LOOKAHEAD && flush === Z_NO_FLUSH$2) {\n        return BS_NEED_MORE;\n      }\n      if (s.lookahead === 0) { break; } /* flush the current block */\n    }\n\n    /* Insert the string window[strstart .. strstart+2] in the\n     * dictionary, and set hash_head to the head of the hash chain:\n     */\n    hash_head = 0/*NIL*/;\n    if (s.lookahead >= MIN_MATCH) {\n      /*** INSERT_STRING(s, s.strstart, hash_head); ***/\n      s.ins_h = HASH(s, s.ins_h, s.window[s.strstart + MIN_MATCH - 1]);\n      hash_head = s.prev[s.strstart & s.w_mask] = s.head[s.ins_h];\n      s.head[s.ins_h] = s.strstart;\n      /***/\n    }\n\n    /* Find the longest match, discarding those <= prev_length.\n     */\n    s.prev_length = s.match_length;\n    s.prev_match = s.match_start;\n    s.match_length = MIN_MATCH - 1;\n\n    if (hash_head !== 0/*NIL*/ && s.prev_length < s.max_lazy_match &&\n        s.strstart - hash_head <= (s.w_size - MIN_LOOKAHEAD)/*MAX_DIST(s)*/) {\n      /* To simplify the code, we prevent matches with the string\n       * of window index 0 (in particular we have to avoid a match\n       * of the string with itself at the start of the input file).\n       */\n      s.match_length = longest_match(s, hash_head);\n      /* longest_match() sets match_start */\n\n      if (s.match_length <= 5 &&\n         (s.strategy === Z_FILTERED || (s.match_length === MIN_MATCH && s.strstart - s.match_start > 4096/*TOO_FAR*/))) {\n\n        /* If prev_match is also MIN_MATCH, match_start is garbage\n         * but we will ignore the current match anyway.\n         */\n        s.match_length = MIN_MATCH - 1;\n      }\n    }\n    /* If there was a match at the previous step and the current\n     * match is not better, output the previous match:\n     */\n    if (s.prev_length >= MIN_MATCH && s.match_length <= s.prev_length) {\n      max_insert = s.strstart + s.lookahead - MIN_MATCH;\n      /* Do not insert strings in hash table beyond this. */\n\n      //check_match(s, s.strstart-1, s.prev_match, s.prev_length);\n\n      /***_tr_tally_dist(s, s.strstart - 1 - s.prev_match,\n                     s.prev_length - MIN_MATCH, bflush);***/\n      bflush = _tr_tally(s, s.strstart - 1 - s.prev_match, s.prev_length - MIN_MATCH);\n      /* Insert in hash table all strings up to the end of the match.\n       * strstart-1 and strstart are already inserted. If there is not\n       * enough lookahead, the last two strings are not inserted in\n       * the hash table.\n       */\n      s.lookahead -= s.prev_length - 1;\n      s.prev_length -= 2;\n      do {\n        if (++s.strstart <= max_insert) {\n          /*** INSERT_STRING(s, s.strstart, hash_head); ***/\n          s.ins_h = HASH(s, s.ins_h, s.window[s.strstart + MIN_MATCH - 1]);\n          hash_head = s.prev[s.strstart & s.w_mask] = s.head[s.ins_h];\n          s.head[s.ins_h] = s.strstart;\n          /***/\n        }\n      } while (--s.prev_length !== 0);\n      s.match_available = 0;\n      s.match_length = MIN_MATCH - 1;\n      s.strstart++;\n\n      if (bflush) {\n        /*** FLUSH_BLOCK(s, 0); ***/\n        flush_block_only(s, false);\n        if (s.strm.avail_out === 0) {\n          return BS_NEED_MORE;\n        }\n        /***/\n      }\n\n    } else if (s.match_available) {\n      /* If there was no match at the previous position, output a\n       * single literal. If there was a match but the current match\n       * is longer, truncate the previous match to a single literal.\n       */\n      //Tracevv((stderr,\"%c\", s->window[s->strstart-1]));\n      /*** _tr_tally_lit(s, s.window[s.strstart-1], bflush); ***/\n      bflush = _tr_tally(s, 0, s.window[s.strstart - 1]);\n\n      if (bflush) {\n        /*** FLUSH_BLOCK_ONLY(s, 0) ***/\n        flush_block_only(s, false);\n        /***/\n      }\n      s.strstart++;\n      s.lookahead--;\n      if (s.strm.avail_out === 0) {\n        return BS_NEED_MORE;\n      }\n    } else {\n      /* There is no previous match to compare with, wait for\n       * the next step to decide.\n       */\n      s.match_available = 1;\n      s.strstart++;\n      s.lookahead--;\n    }\n  }\n  //Assert (flush != Z_NO_FLUSH, \"no flush?\");\n  if (s.match_available) {\n    //Tracevv((stderr,\"%c\", s->window[s->strstart-1]));\n    /*** _tr_tally_lit(s, s.window[s.strstart-1], bflush); ***/\n    bflush = _tr_tally(s, 0, s.window[s.strstart - 1]);\n\n    s.match_available = 0;\n  }\n  s.insert = s.strstart < MIN_MATCH - 1 ? s.strstart : MIN_MATCH - 1;\n  if (flush === Z_FINISH$3) {\n    /*** FLUSH_BLOCK(s, 1); ***/\n    flush_block_only(s, true);\n    if (s.strm.avail_out === 0) {\n      return BS_FINISH_STARTED;\n    }\n    /***/\n    return BS_FINISH_DONE;\n  }\n  if (s.sym_next) {\n    /*** FLUSH_BLOCK(s, 0); ***/\n    flush_block_only(s, false);\n    if (s.strm.avail_out === 0) {\n      return BS_NEED_MORE;\n    }\n    /***/\n  }\n\n  return BS_BLOCK_DONE;\n};\n\n\n/* ===========================================================================\n * For Z_RLE, simply look for runs of bytes, generate matches only of distance\n * one.  Do not maintain a hash table.  (It will be regenerated if this run of\n * deflate switches away from Z_RLE.)\n */\nconst deflate_rle = (s, flush) => {\n\n  let bflush;            /* set if current block must be flushed */\n  let prev;              /* byte at distance one to match */\n  let scan, strend;      /* scan goes up to strend for length of run */\n\n  const _win = s.window;\n\n  for (;;) {\n    /* Make sure that we always have enough lookahead, except\n     * at the end of the input file. We need MAX_MATCH bytes\n     * for the longest run, plus one for the unrolled loop.\n     */\n    if (s.lookahead <= MAX_MATCH) {\n      fill_window(s);\n      if (s.lookahead <= MAX_MATCH && flush === Z_NO_FLUSH$2) {\n        return BS_NEED_MORE;\n      }\n      if (s.lookahead === 0) { break; } /* flush the current block */\n    }\n\n    /* See how many times the previous byte repeats */\n    s.match_length = 0;\n    if (s.lookahead >= MIN_MATCH && s.strstart > 0) {\n      scan = s.strstart - 1;\n      prev = _win[scan];\n      if (prev === _win[++scan] && prev === _win[++scan] && prev === _win[++scan]) {\n        strend = s.strstart + MAX_MATCH;\n        do {\n          /*jshint noempty:false*/\n        } while (prev === _win[++scan] && prev === _win[++scan] &&\n                 prev === _win[++scan] && prev === _win[++scan] &&\n                 prev === _win[++scan] && prev === _win[++scan] &&\n                 prev === _win[++scan] && prev === _win[++scan] &&\n                 scan < strend);\n        s.match_length = MAX_MATCH - (strend - scan);\n        if (s.match_length > s.lookahead) {\n          s.match_length = s.lookahead;\n        }\n      }\n      //Assert(scan <= s->window+(uInt)(s->window_size-1), \"wild scan\");\n    }\n\n    /* Emit match if have run of MIN_MATCH or longer, else emit literal */\n    if (s.match_length >= MIN_MATCH) {\n      //check_match(s, s.strstart, s.strstart - 1, s.match_length);\n\n      /*** _tr_tally_dist(s, 1, s.match_length - MIN_MATCH, bflush); ***/\n      bflush = _tr_tally(s, 1, s.match_length - MIN_MATCH);\n\n      s.lookahead -= s.match_length;\n      s.strstart += s.match_length;\n      s.match_length = 0;\n    } else {\n      /* No match, output a literal byte */\n      //Tracevv((stderr,\"%c\", s->window[s->strstart]));\n      /*** _tr_tally_lit(s, s.window[s.strstart], bflush); ***/\n      bflush = _tr_tally(s, 0, s.window[s.strstart]);\n\n      s.lookahead--;\n      s.strstart++;\n    }\n    if (bflush) {\n      /*** FLUSH_BLOCK(s, 0); ***/\n      flush_block_only(s, false);\n      if (s.strm.avail_out === 0) {\n        return BS_NEED_MORE;\n      }\n      /***/\n    }\n  }\n  s.insert = 0;\n  if (flush === Z_FINISH$3) {\n    /*** FLUSH_BLOCK(s, 1); ***/\n    flush_block_only(s, true);\n    if (s.strm.avail_out === 0) {\n      return BS_FINISH_STARTED;\n    }\n    /***/\n    return BS_FINISH_DONE;\n  }\n  if (s.sym_next) {\n    /*** FLUSH_BLOCK(s, 0); ***/\n    flush_block_only(s, false);\n    if (s.strm.avail_out === 0) {\n      return BS_NEED_MORE;\n    }\n    /***/\n  }\n  return BS_BLOCK_DONE;\n};\n\n/* ===========================================================================\n * For Z_HUFFMAN_ONLY, do not look for matches.  Do not maintain a hash table.\n * (It will be regenerated if this run of deflate switches away from Huffman.)\n */\nconst deflate_huff = (s, flush) => {\n\n  let bflush;             /* set if current block must be flushed */\n\n  for (;;) {\n    /* Make sure that we have a literal to write. */\n    if (s.lookahead === 0) {\n      fill_window(s);\n      if (s.lookahead === 0) {\n        if (flush === Z_NO_FLUSH$2) {\n          return BS_NEED_MORE;\n        }\n        break;      /* flush the current block */\n      }\n    }\n\n    /* Output a literal byte */\n    s.match_length = 0;\n    //Tracevv((stderr,\"%c\", s->window[s->strstart]));\n    /*** _tr_tally_lit(s, s.window[s.strstart], bflush); ***/\n    bflush = _tr_tally(s, 0, s.window[s.strstart]);\n    s.lookahead--;\n    s.strstart++;\n    if (bflush) {\n      /*** FLUSH_BLOCK(s, 0); ***/\n      flush_block_only(s, false);\n      if (s.strm.avail_out === 0) {\n        return BS_NEED_MORE;\n      }\n      /***/\n    }\n  }\n  s.insert = 0;\n  if (flush === Z_FINISH$3) {\n    /*** FLUSH_BLOCK(s, 1); ***/\n    flush_block_only(s, true);\n    if (s.strm.avail_out === 0) {\n      return BS_FINISH_STARTED;\n    }\n    /***/\n    return BS_FINISH_DONE;\n  }\n  if (s.sym_next) {\n    /*** FLUSH_BLOCK(s, 0); ***/\n    flush_block_only(s, false);\n    if (s.strm.avail_out === 0) {\n      return BS_NEED_MORE;\n    }\n    /***/\n  }\n  return BS_BLOCK_DONE;\n};\n\n/* Values for max_lazy_match, good_match and max_chain_length, depending on\n * the desired pack level (0..9). The values given below have been tuned to\n * exclude worst case performance for pathological files. Better values may be\n * found for specific files.\n */\nfunction Config(good_length, max_lazy, nice_length, max_chain, func) {\n\n  this.good_length = good_length;\n  this.max_lazy = max_lazy;\n  this.nice_length = nice_length;\n  this.max_chain = max_chain;\n  this.func = func;\n}\n\nconst configuration_table = [\n  /*      good lazy nice chain */\n  new Config(0, 0, 0, 0, deflate_stored),          /* 0 store only */\n  new Config(4, 4, 8, 4, deflate_fast),            /* 1 max speed, no lazy matches */\n  new Config(4, 5, 16, 8, deflate_fast),           /* 2 */\n  new Config(4, 6, 32, 32, deflate_fast),          /* 3 */\n\n  new Config(4, 4, 16, 16, deflate_slow),          /* 4 lazy matches */\n  new Config(8, 16, 32, 32, deflate_slow),         /* 5 */\n  new Config(8, 16, 128, 128, deflate_slow),       /* 6 */\n  new Config(8, 32, 128, 256, deflate_slow),       /* 7 */\n  new Config(32, 128, 258, 1024, deflate_slow),    /* 8 */\n  new Config(32, 258, 258, 4096, deflate_slow)     /* 9 max compression */\n];\n\n\n/* ===========================================================================\n * Initialize the \"longest match\" routines for a new zlib stream\n */\nconst lm_init = (s) => {\n\n  s.window_size = 2 * s.w_size;\n\n  /*** CLEAR_HASH(s); ***/\n  zero(s.head); // Fill with NIL (= 0);\n\n  /* Set the default configuration parameters:\n   */\n  s.max_lazy_match = configuration_table[s.level].max_lazy;\n  s.good_match = configuration_table[s.level].good_length;\n  s.nice_match = configuration_table[s.level].nice_length;\n  s.max_chain_length = configuration_table[s.level].max_chain;\n\n  s.strstart = 0;\n  s.block_start = 0;\n  s.lookahead = 0;\n  s.insert = 0;\n  s.match_length = s.prev_length = MIN_MATCH - 1;\n  s.match_available = 0;\n  s.ins_h = 0;\n};\n\n\nfunction DeflateState() {\n  this.strm = null;            /* pointer back to this zlib stream */\n  this.status = 0;            /* as the name implies */\n  this.pending_buf = null;      /* output still pending */\n  this.pending_buf_size = 0;  /* size of pending_buf */\n  this.pending_out = 0;       /* next pending byte to output to the stream */\n  this.pending = 0;           /* nb of bytes in the pending buffer */\n  this.wrap = 0;              /* bit 0 true for zlib, bit 1 true for gzip */\n  this.gzhead = null;         /* gzip header information to write */\n  this.gzindex = 0;           /* where in extra, name, or comment */\n  this.method = Z_DEFLATED$2; /* can only be DEFLATED */\n  this.last_flush = -1;   /* value of flush param for previous deflate call */\n\n  this.w_size = 0;  /* LZ77 window size (32K by default) */\n  this.w_bits = 0;  /* log2(w_size)  (8..16) */\n  this.w_mask = 0;  /* w_size - 1 */\n\n  this.window = null;\n  /* Sliding window. Input bytes are read into the second half of the window,\n   * and move to the first half later to keep a dictionary of at least wSize\n   * bytes. With this organization, matches are limited to a distance of\n   * wSize-MAX_MATCH bytes, but this ensures that IO is always\n   * performed with a length multiple of the block size.\n   */\n\n  this.window_size = 0;\n  /* Actual size of window: 2*wSize, except when the user input buffer\n   * is directly used as sliding window.\n   */\n\n  this.prev = null;\n  /* Link to older string with same hash index. To limit the size of this\n   * array to 64K, this link is maintained only for the last 32K strings.\n   * An index in this array is thus a window index modulo 32K.\n   */\n\n  this.head = null;   /* Heads of the hash chains or NIL. */\n\n  this.ins_h = 0;       /* hash index of string to be inserted */\n  this.hash_size = 0;   /* number of elements in hash table */\n  this.hash_bits = 0;   /* log2(hash_size) */\n  this.hash_mask = 0;   /* hash_size-1 */\n\n  this.hash_shift = 0;\n  /* Number of bits by which ins_h must be shifted at each input\n   * step. It must be such that after MIN_MATCH steps, the oldest\n   * byte no longer takes part in the hash key, that is:\n   *   hash_shift * MIN_MATCH >= hash_bits\n   */\n\n  this.block_start = 0;\n  /* Window position at the beginning of the current output block. Gets\n   * negative when the window is moved backwards.\n   */\n\n  this.match_length = 0;      /* length of best match */\n  this.prev_match = 0;        /* previous match */\n  this.match_available = 0;   /* set if previous match exists */\n  this.strstart = 0;          /* start of string to insert */\n  this.match_start = 0;       /* start of matching string */\n  this.lookahead = 0;         /* number of valid bytes ahead in window */\n\n  this.prev_length = 0;\n  /* Length of the best match at previous step. Matches not greater than this\n   * are discarded. This is used in the lazy match evaluation.\n   */\n\n  this.max_chain_length = 0;\n  /* To speed up deflation, hash chains are never searched beyond this\n   * length.  A higher limit improves compression ratio but degrades the\n   * speed.\n   */\n\n  this.max_lazy_match = 0;\n  /* Attempt to find a better match only when the current match is strictly\n   * smaller than this value. This mechanism is used only for compression\n   * levels >= 4.\n   */\n  // That's alias to max_lazy_match, don't use directly\n  //this.max_insert_length = 0;\n  /* Insert new strings in the hash table only if the match length is not\n   * greater than this length. This saves time but degrades compression.\n   * max_insert_length is used only for compression levels <= 3.\n   */\n\n  this.level = 0;     /* compression level (1..9) */\n  this.strategy = 0;  /* favor or force Huffman coding*/\n\n  this.good_match = 0;\n  /* Use a faster search when the previous match is longer than this */\n\n  this.nice_match = 0; /* Stop searching when current match exceeds this */\n\n              /* used by trees.c: */\n\n  /* Didn't use ct_data typedef below to suppress compiler warning */\n\n  // struct ct_data_s dyn_ltree[HEAP_SIZE];   /* literal and length tree */\n  // struct ct_data_s dyn_dtree[2*D_CODES+1]; /* distance tree */\n  // struct ct_data_s bl_tree[2*BL_CODES+1];  /* Huffman tree for bit lengths */\n\n  // Use flat array of DOUBLE size, with interleaved fata,\n  // because JS does not support effective\n  this.dyn_ltree  = new Uint16Array(HEAP_SIZE * 2);\n  this.dyn_dtree  = new Uint16Array((2 * D_CODES + 1) * 2);\n  this.bl_tree    = new Uint16Array((2 * BL_CODES + 1) * 2);\n  zero(this.dyn_ltree);\n  zero(this.dyn_dtree);\n  zero(this.bl_tree);\n\n  this.l_desc   = null;         /* desc. for literal tree */\n  this.d_desc   = null;         /* desc. for distance tree */\n  this.bl_desc  = null;         /* desc. for bit length tree */\n\n  //ush bl_count[MAX_BITS+1];\n  this.bl_count = new Uint16Array(MAX_BITS + 1);\n  /* number of codes at each bit length for an optimal tree */\n\n  //int heap[2*L_CODES+1];      /* heap used to build the Huffman trees */\n  this.heap = new Uint16Array(2 * L_CODES + 1);  /* heap used to build the Huffman trees */\n  zero(this.heap);\n\n  this.heap_len = 0;               /* number of elements in the heap */\n  this.heap_max = 0;               /* element of largest frequency */\n  /* The sons of heap[n] are heap[2*n] and heap[2*n+1]. heap[0] is not used.\n   * The same heap array is used to build all trees.\n   */\n\n  this.depth = new Uint16Array(2 * L_CODES + 1); //uch depth[2*L_CODES+1];\n  zero(this.depth);\n  /* Depth of each subtree used as tie breaker for trees of equal frequency\n   */\n\n  this.sym_buf = 0;        /* buffer for distances and literals/lengths */\n\n  this.lit_bufsize = 0;\n  /* Size of match buffer for literals/lengths.  There are 4 reasons for\n   * limiting lit_bufsize to 64K:\n   *   - frequencies can be kept in 16 bit counters\n   *   - if compression is not successful for the first block, all input\n   *     data is still in the window so we can still emit a stored block even\n   *     when input comes from standard input.  (This can also be done for\n   *     all blocks if lit_bufsize is not greater than 32K.)\n   *   - if compression is not successful for a file smaller than 64K, we can\n   *     even emit a stored file instead of a stored block (saving 5 bytes).\n   *     This is applicable only for zip (not gzip or zlib).\n   *   - creating new Huffman trees less frequently may not provide fast\n   *     adaptation to changes in the input data statistics. (Take for\n   *     example a binary file with poorly compressible code followed by\n   *     a highly compressible string table.) Smaller buffer sizes give\n   *     fast adaptation but have of course the overhead of transmitting\n   *     trees more frequently.\n   *   - I can't count above 4\n   */\n\n  this.sym_next = 0;      /* running index in sym_buf */\n  this.sym_end = 0;       /* symbol table full when sym_next reaches this */\n\n  this.opt_len = 0;       /* bit length of current block with optimal trees */\n  this.static_len = 0;    /* bit length of current block with static trees */\n  this.matches = 0;       /* number of string matches in current block */\n  this.insert = 0;        /* bytes at end of window left to insert */\n\n\n  this.bi_buf = 0;\n  /* Output buffer. bits are inserted starting at the bottom (least\n   * significant bits).\n   */\n  this.bi_valid = 0;\n  /* Number of valid bits in bi_buf.  All bits above the last valid bit\n   * are always zero.\n   */\n\n  // Used for window memory init. We safely ignore it for JS. That makes\n  // sense only for pointers and memory check tools.\n  //this.high_water = 0;\n  /* High water mark offset in window for initialized bytes -- bytes above\n   * this are set to zero in order to avoid memory check warnings when\n   * longest match routines access bytes past the input.  This is then\n   * updated to the new high water mark.\n   */\n}\n\n\n/* =========================================================================\n * Check for a valid deflate stream state. Return 0 if ok, 1 if not.\n */\nconst deflateStateCheck = (strm) => {\n\n  if (!strm) {\n    return 1;\n  }\n  const s = strm.state;\n  if (!s || s.strm !== strm || (s.status !== INIT_STATE &&\n//#ifdef GZIP\n                                s.status !== GZIP_STATE &&\n//#endif\n                                s.status !== EXTRA_STATE &&\n                                s.status !== NAME_STATE &&\n                                s.status !== COMMENT_STATE &&\n                                s.status !== HCRC_STATE &&\n                                s.status !== BUSY_STATE &&\n                                s.status !== FINISH_STATE)) {\n    return 1;\n  }\n  return 0;\n};\n\n\nconst deflateResetKeep = (strm) => {\n\n  if (deflateStateCheck(strm)) {\n    return err(strm, Z_STREAM_ERROR$2);\n  }\n\n  strm.total_in = strm.total_out = 0;\n  strm.data_type = Z_UNKNOWN;\n\n  const s = strm.state;\n  s.pending = 0;\n  s.pending_out = 0;\n\n  if (s.wrap < 0) {\n    s.wrap = -s.wrap;\n    /* was made negative by deflate(..., Z_FINISH); */\n  }\n  s.status =\n//#ifdef GZIP\n    s.wrap === 2 ? GZIP_STATE :\n//#endif\n    s.wrap ? INIT_STATE : BUSY_STATE;\n  strm.adler = (s.wrap === 2) ?\n    0  // crc32(0, Z_NULL, 0)\n  :\n    1; // adler32(0, Z_NULL, 0)\n  s.last_flush = -2;\n  _tr_init(s);\n  return Z_OK$3;\n};\n\n\nconst deflateReset = (strm) => {\n\n  const ret = deflateResetKeep(strm);\n  if (ret === Z_OK$3) {\n    lm_init(strm.state);\n  }\n  return ret;\n};\n\n\nconst deflateSetHeader = (strm, head) => {\n\n  if (deflateStateCheck(strm) || strm.state.wrap !== 2) {\n    return Z_STREAM_ERROR$2;\n  }\n  strm.state.gzhead = head;\n  return Z_OK$3;\n};\n\n\nconst deflateInit2 = (strm, level, method, windowBits, memLevel, strategy) => {\n\n  if (!strm) { // === Z_NULL\n    return Z_STREAM_ERROR$2;\n  }\n  let wrap = 1;\n\n  if (level === Z_DEFAULT_COMPRESSION$1) {\n    level = 6;\n  }\n\n  if (windowBits < 0) { /* suppress zlib wrapper */\n    wrap = 0;\n    windowBits = -windowBits;\n  }\n\n  else if (windowBits > 15) {\n    wrap = 2;           /* write gzip wrapper instead */\n    windowBits -= 16;\n  }\n\n\n  if (memLevel < 1 || memLevel > MAX_MEM_LEVEL || method !== Z_DEFLATED$2 ||\n    windowBits < 8 || windowBits > 15 || level < 0 || level > 9 ||\n    strategy < 0 || strategy > Z_FIXED || (windowBits === 8 && wrap !== 1)) {\n    return err(strm, Z_STREAM_ERROR$2);\n  }\n\n\n  if (windowBits === 8) {\n    windowBits = 9;\n  }\n  /* until 256-byte window bug fixed */\n\n  const s = new DeflateState();\n\n  strm.state = s;\n  s.strm = strm;\n  s.status = INIT_STATE;     /* to pass state test in deflateReset() */\n\n  s.wrap = wrap;\n  s.gzhead = null;\n  s.w_bits = windowBits;\n  s.w_size = 1 << s.w_bits;\n  s.w_mask = s.w_size - 1;\n\n  s.hash_bits = memLevel + 7;\n  s.hash_size = 1 << s.hash_bits;\n  s.hash_mask = s.hash_size - 1;\n  s.hash_shift = ~~((s.hash_bits + MIN_MATCH - 1) / MIN_MATCH);\n\n  s.window = new Uint8Array(s.w_size * 2);\n  s.head = new Uint16Array(s.hash_size);\n  s.prev = new Uint16Array(s.w_size);\n\n  // Don't need mem init magic for JS.\n  //s.high_water = 0;  /* nothing written to s->window yet */\n\n  s.lit_bufsize = 1 << (memLevel + 6); /* 16K elements by default */\n\n  /* We overlay pending_buf and sym_buf. This works since the average size\n   * for length/distance pairs over any compressed block is assured to be 31\n   * bits or less.\n   *\n   * Analysis: The longest fixed codes are a length code of 8 bits plus 5\n   * extra bits, for lengths 131 to 257. The longest fixed distance codes are\n   * 5 bits plus 13 extra bits, for distances 16385 to 32768. The longest\n   * possible fixed-codes length/distance pair is then 31 bits total.\n   *\n   * sym_buf starts one-fourth of the way into pending_buf. So there are\n   * three bytes in sym_buf for every four bytes in pending_buf. Each symbol\n   * in sym_buf is three bytes -- two for the distance and one for the\n   * literal/length. As each symbol is consumed, the pointer to the next\n   * sym_buf value to read moves forward three bytes. From that symbol, up to\n   * 31 bits are written to pending_buf. The closest the written pending_buf\n   * bits gets to the next sym_buf symbol to read is just before the last\n   * code is written. At that time, 31*(n-2) bits have been written, just\n   * after 24*(n-2) bits have been consumed from sym_buf. sym_buf starts at\n   * 8*n bits into pending_buf. (Note that the symbol buffer fills when n-1\n   * symbols are written.) The closest the writing gets to what is unread is\n   * then n+14 bits. Here n is lit_bufsize, which is 16384 by default, and\n   * can range from 128 to 32768.\n   *\n   * Therefore, at a minimum, there are 142 bits of space between what is\n   * written and what is read in the overlain buffers, so the symbols cannot\n   * be overwritten by the compressed data. That space is actually 139 bits,\n   * due to the three-bit fixed-code block header.\n   *\n   * That covers the case where either Z_FIXED is specified, forcing fixed\n   * codes, or when the use of fixed codes is chosen, because that choice\n   * results in a smaller compressed block than dynamic codes. That latter\n   * condition then assures that the above analysis also covers all dynamic\n   * blocks. A dynamic-code block will only be chosen to be emitted if it has\n   * fewer bits than a fixed-code block would for the same set of symbols.\n   * Therefore its average symbol length is assured to be less than 31. So\n   * the compressed data for a dynamic block also cannot overwrite the\n   * symbols from which it is being constructed.\n   */\n\n  s.pending_buf_size = s.lit_bufsize * 4;\n  s.pending_buf = new Uint8Array(s.pending_buf_size);\n\n  // It is offset from `s.pending_buf` (size is `s.lit_bufsize * 2`)\n  //s->sym_buf = s->pending_buf + s->lit_bufsize;\n  s.sym_buf = s.lit_bufsize;\n\n  //s->sym_end = (s->lit_bufsize - 1) * 3;\n  s.sym_end = (s.lit_bufsize - 1) * 3;\n  /* We avoid equality with lit_bufsize*3 because of wraparound at 64K\n   * on 16 bit machines and because stored blocks are restricted to\n   * 64K-1 bytes.\n   */\n\n  s.level = level;\n  s.strategy = strategy;\n  s.method = method;\n\n  return deflateReset(strm);\n};\n\nconst deflateInit = (strm, level) => {\n\n  return deflateInit2(strm, level, Z_DEFLATED$2, MAX_WBITS$1, DEF_MEM_LEVEL, Z_DEFAULT_STRATEGY$1);\n};\n\n\n/* ========================================================================= */\nconst deflate$2 = (strm, flush) => {\n\n  if (deflateStateCheck(strm) || flush > Z_BLOCK$1 || flush < 0) {\n    return strm ? err(strm, Z_STREAM_ERROR$2) : Z_STREAM_ERROR$2;\n  }\n\n  const s = strm.state;\n\n  if (!strm.output ||\n      (strm.avail_in !== 0 && !strm.input) ||\n      (s.status === FINISH_STATE && flush !== Z_FINISH$3)) {\n    return err(strm, (strm.avail_out === 0) ? Z_BUF_ERROR$1 : Z_STREAM_ERROR$2);\n  }\n\n  const old_flush = s.last_flush;\n  s.last_flush = flush;\n\n  /* Flush as much pending output as possible */\n  if (s.pending !== 0) {\n    flush_pending(strm);\n    if (strm.avail_out === 0) {\n      /* Since avail_out is 0, deflate will be called again with\n       * more output space, but possibly with both pending and\n       * avail_in equal to zero. There won't be anything to do,\n       * but this is not an error situation so make sure we\n       * return OK instead of BUF_ERROR at next call of deflate:\n       */\n      s.last_flush = -1;\n      return Z_OK$3;\n    }\n\n    /* Make sure there is something to do and avoid duplicate consecutive\n     * flushes. For repeated and useless calls with Z_FINISH, we keep\n     * returning Z_STREAM_END instead of Z_BUF_ERROR.\n     */\n  } else if (strm.avail_in === 0 && rank(flush) <= rank(old_flush) &&\n    flush !== Z_FINISH$3) {\n    return err(strm, Z_BUF_ERROR$1);\n  }\n\n  /* User must not provide more input after the first FINISH: */\n  if (s.status === FINISH_STATE && strm.avail_in !== 0) {\n    return err(strm, Z_BUF_ERROR$1);\n  }\n\n  /* Write the header */\n  if (s.status === INIT_STATE && s.wrap === 0) {\n    s.status = BUSY_STATE;\n  }\n  if (s.status === INIT_STATE) {\n    /* zlib header */\n    let header = (Z_DEFLATED$2 + ((s.w_bits - 8) << 4)) << 8;\n    let level_flags = -1;\n\n    if (s.strategy >= Z_HUFFMAN_ONLY || s.level < 2) {\n      level_flags = 0;\n    } else if (s.level < 6) {\n      level_flags = 1;\n    } else if (s.level === 6) {\n      level_flags = 2;\n    } else {\n      level_flags = 3;\n    }\n    header |= (level_flags << 6);\n    if (s.strstart !== 0) { header |= PRESET_DICT; }\n    header += 31 - (header % 31);\n\n    putShortMSB(s, header);\n\n    /* Save the adler32 of the preset dictionary: */\n    if (s.strstart !== 0) {\n      putShortMSB(s, strm.adler >>> 16);\n      putShortMSB(s, strm.adler & 0xffff);\n    }\n    strm.adler = 1; // adler32(0L, Z_NULL, 0);\n    s.status = BUSY_STATE;\n\n    /* Compression must start with an empty pending buffer */\n    flush_pending(strm);\n    if (s.pending !== 0) {\n      s.last_flush = -1;\n      return Z_OK$3;\n    }\n  }\n//#ifdef GZIP\n  if (s.status === GZIP_STATE) {\n    /* gzip header */\n    strm.adler = 0;  //crc32(0L, Z_NULL, 0);\n    put_byte(s, 31);\n    put_byte(s, 139);\n    put_byte(s, 8);\n    if (!s.gzhead) { // s->gzhead == Z_NULL\n      put_byte(s, 0);\n      put_byte(s, 0);\n      put_byte(s, 0);\n      put_byte(s, 0);\n      put_byte(s, 0);\n      put_byte(s, s.level === 9 ? 2 :\n                  (s.strategy >= Z_HUFFMAN_ONLY || s.level < 2 ?\n                   4 : 0));\n      put_byte(s, OS_CODE);\n      s.status = BUSY_STATE;\n\n      /* Compression must start with an empty pending buffer */\n      flush_pending(strm);\n      if (s.pending !== 0) {\n        s.last_flush = -1;\n        return Z_OK$3;\n      }\n    }\n    else {\n      put_byte(s, (s.gzhead.text ? 1 : 0) +\n                  (s.gzhead.hcrc ? 2 : 0) +\n                  (!s.gzhead.extra ? 0 : 4) +\n                  (!s.gzhead.name ? 0 : 8) +\n                  (!s.gzhead.comment ? 0 : 16)\n      );\n      put_byte(s, s.gzhead.time & 0xff);\n      put_byte(s, (s.gzhead.time >> 8) & 0xff);\n      put_byte(s, (s.gzhead.time >> 16) & 0xff);\n      put_byte(s, (s.gzhead.time >> 24) & 0xff);\n      put_byte(s, s.level === 9 ? 2 :\n                  (s.strategy >= Z_HUFFMAN_ONLY || s.level < 2 ?\n                   4 : 0));\n      put_byte(s, s.gzhead.os & 0xff);\n      if (s.gzhead.extra && s.gzhead.extra.length) {\n        put_byte(s, s.gzhead.extra.length & 0xff);\n        put_byte(s, (s.gzhead.extra.length >> 8) & 0xff);\n      }\n      if (s.gzhead.hcrc) {\n        strm.adler = crc32_1(strm.adler, s.pending_buf, s.pending, 0);\n      }\n      s.gzindex = 0;\n      s.status = EXTRA_STATE;\n    }\n  }\n  if (s.status === EXTRA_STATE) {\n    if (s.gzhead.extra/* != Z_NULL*/) {\n      let beg = s.pending;   /* start of bytes to update crc */\n      let left = (s.gzhead.extra.length & 0xffff) - s.gzindex;\n      while (s.pending + left > s.pending_buf_size) {\n        let copy = s.pending_buf_size - s.pending;\n        // zmemcpy(s.pending_buf + s.pending,\n        //    s.gzhead.extra + s.gzindex, copy);\n        s.pending_buf.set(s.gzhead.extra.subarray(s.gzindex, s.gzindex + copy), s.pending);\n        s.pending = s.pending_buf_size;\n        //--- HCRC_UPDATE(beg) ---//\n        if (s.gzhead.hcrc && s.pending > beg) {\n          strm.adler = crc32_1(strm.adler, s.pending_buf, s.pending - beg, beg);\n        }\n        //---//\n        s.gzindex += copy;\n        flush_pending(strm);\n        if (s.pending !== 0) {\n          s.last_flush = -1;\n          return Z_OK$3;\n        }\n        beg = 0;\n        left -= copy;\n      }\n      // JS specific: s.gzhead.extra may be TypedArray or Array for backward compatibility\n      //              TypedArray.slice and TypedArray.from don't exist in IE10-IE11\n      let gzhead_extra = new Uint8Array(s.gzhead.extra);\n      // zmemcpy(s->pending_buf + s->pending,\n      //     s->gzhead->extra + s->gzindex, left);\n      s.pending_buf.set(gzhead_extra.subarray(s.gzindex, s.gzindex + left), s.pending);\n      s.pending += left;\n      //--- HCRC_UPDATE(beg) ---//\n      if (s.gzhead.hcrc && s.pending > beg) {\n        strm.adler = crc32_1(strm.adler, s.pending_buf, s.pending - beg, beg);\n      }\n      //---//\n      s.gzindex = 0;\n    }\n    s.status = NAME_STATE;\n  }\n  if (s.status === NAME_STATE) {\n    if (s.gzhead.name/* != Z_NULL*/) {\n      let beg = s.pending;   /* start of bytes to update crc */\n      let val;\n      do {\n        if (s.pending === s.pending_buf_size) {\n          //--- HCRC_UPDATE(beg) ---//\n          if (s.gzhead.hcrc && s.pending > beg) {\n            strm.adler = crc32_1(strm.adler, s.pending_buf, s.pending - beg, beg);\n          }\n          //---//\n          flush_pending(strm);\n          if (s.pending !== 0) {\n            s.last_flush = -1;\n            return Z_OK$3;\n          }\n          beg = 0;\n        }\n        // JS specific: little magic to add zero terminator to end of string\n        if (s.gzindex < s.gzhead.name.length) {\n          val = s.gzhead.name.charCodeAt(s.gzindex++) & 0xff;\n        } else {\n          val = 0;\n        }\n        put_byte(s, val);\n      } while (val !== 0);\n      //--- HCRC_UPDATE(beg) ---//\n      if (s.gzhead.hcrc && s.pending > beg) {\n        strm.adler = crc32_1(strm.adler, s.pending_buf, s.pending - beg, beg);\n      }\n      //---//\n      s.gzindex = 0;\n    }\n    s.status = COMMENT_STATE;\n  }\n  if (s.status === COMMENT_STATE) {\n    if (s.gzhead.comment/* != Z_NULL*/) {\n      let beg = s.pending;   /* start of bytes to update crc */\n      let val;\n      do {\n        if (s.pending === s.pending_buf_size) {\n          //--- HCRC_UPDATE(beg) ---//\n          if (s.gzhead.hcrc && s.pending > beg) {\n            strm.adler = crc32_1(strm.adler, s.pending_buf, s.pending - beg, beg);\n          }\n          //---//\n          flush_pending(strm);\n          if (s.pending !== 0) {\n            s.last_flush = -1;\n            return Z_OK$3;\n          }\n          beg = 0;\n        }\n        // JS specific: little magic to add zero terminator to end of string\n        if (s.gzindex < s.gzhead.comment.length) {\n          val = s.gzhead.comment.charCodeAt(s.gzindex++) & 0xff;\n        } else {\n          val = 0;\n        }\n        put_byte(s, val);\n      } while (val !== 0);\n      //--- HCRC_UPDATE(beg) ---//\n      if (s.gzhead.hcrc && s.pending > beg) {\n        strm.adler = crc32_1(strm.adler, s.pending_buf, s.pending - beg, beg);\n      }\n      //---//\n    }\n    s.status = HCRC_STATE;\n  }\n  if (s.status === HCRC_STATE) {\n    if (s.gzhead.hcrc) {\n      if (s.pending + 2 > s.pending_buf_size) {\n        flush_pending(strm);\n        if (s.pending !== 0) {\n          s.last_flush = -1;\n          return Z_OK$3;\n        }\n      }\n      put_byte(s, strm.adler & 0xff);\n      put_byte(s, (strm.adler >> 8) & 0xff);\n      strm.adler = 0; //crc32(0L, Z_NULL, 0);\n    }\n    s.status = BUSY_STATE;\n\n    /* Compression must start with an empty pending buffer */\n    flush_pending(strm);\n    if (s.pending !== 0) {\n      s.last_flush = -1;\n      return Z_OK$3;\n    }\n  }\n//#endif\n\n  /* Start a new block or continue the current one.\n   */\n  if (strm.avail_in !== 0 || s.lookahead !== 0 ||\n    (flush !== Z_NO_FLUSH$2 && s.status !== FINISH_STATE)) {\n    let bstate = s.level === 0 ? deflate_stored(s, flush) :\n                 s.strategy === Z_HUFFMAN_ONLY ? deflate_huff(s, flush) :\n                 s.strategy === Z_RLE ? deflate_rle(s, flush) :\n                 configuration_table[s.level].func(s, flush);\n\n    if (bstate === BS_FINISH_STARTED || bstate === BS_FINISH_DONE) {\n      s.status = FINISH_STATE;\n    }\n    if (bstate === BS_NEED_MORE || bstate === BS_FINISH_STARTED) {\n      if (strm.avail_out === 0) {\n        s.last_flush = -1;\n        /* avoid BUF_ERROR next call, see above */\n      }\n      return Z_OK$3;\n      /* If flush != Z_NO_FLUSH && avail_out == 0, the next call\n       * of deflate should use the same flush parameter to make sure\n       * that the flush is complete. So we don't have to output an\n       * empty block here, this will be done at next call. This also\n       * ensures that for a very small output buffer, we emit at most\n       * one empty block.\n       */\n    }\n    if (bstate === BS_BLOCK_DONE) {\n      if (flush === Z_PARTIAL_FLUSH) {\n        _tr_align(s);\n      }\n      else if (flush !== Z_BLOCK$1) { /* FULL_FLUSH or SYNC_FLUSH */\n\n        _tr_stored_block(s, 0, 0, false);\n        /* For a full flush, this empty block will be recognized\n         * as a special marker by inflate_sync().\n         */\n        if (flush === Z_FULL_FLUSH$1) {\n          /*** CLEAR_HASH(s); ***/             /* forget history */\n          zero(s.head); // Fill with NIL (= 0);\n\n          if (s.lookahead === 0) {\n            s.strstart = 0;\n            s.block_start = 0;\n            s.insert = 0;\n          }\n        }\n      }\n      flush_pending(strm);\n      if (strm.avail_out === 0) {\n        s.last_flush = -1; /* avoid BUF_ERROR at next call, see above */\n        return Z_OK$3;\n      }\n    }\n  }\n\n  if (flush !== Z_FINISH$3) { return Z_OK$3; }\n  if (s.wrap <= 0) { return Z_STREAM_END$3; }\n\n  /* Write the trailer */\n  if (s.wrap === 2) {\n    put_byte(s, strm.adler & 0xff);\n    put_byte(s, (strm.adler >> 8) & 0xff);\n    put_byte(s, (strm.adler >> 16) & 0xff);\n    put_byte(s, (strm.adler >> 24) & 0xff);\n    put_byte(s, strm.total_in & 0xff);\n    put_byte(s, (strm.total_in >> 8) & 0xff);\n    put_byte(s, (strm.total_in >> 16) & 0xff);\n    put_byte(s, (strm.total_in >> 24) & 0xff);\n  }\n  else\n  {\n    putShortMSB(s, strm.adler >>> 16);\n    putShortMSB(s, strm.adler & 0xffff);\n  }\n\n  flush_pending(strm);\n  /* If avail_out is zero, the application will call deflate again\n   * to flush the rest.\n   */\n  if (s.wrap > 0) { s.wrap = -s.wrap; }\n  /* write the trailer only once! */\n  return s.pending !== 0 ? Z_OK$3 : Z_STREAM_END$3;\n};\n\n\nconst deflateEnd = (strm) => {\n\n  if (deflateStateCheck(strm)) {\n    return Z_STREAM_ERROR$2;\n  }\n\n  const status = strm.state.status;\n\n  strm.state = null;\n\n  return status === BUSY_STATE ? err(strm, Z_DATA_ERROR$2) : Z_OK$3;\n};\n\n\n/* =========================================================================\n * Initializes the compression dictionary from the given byte\n * sequence without producing any compressed output.\n */\nconst deflateSetDictionary = (strm, dictionary) => {\n\n  let dictLength = dictionary.length;\n\n  if (deflateStateCheck(strm)) {\n    return Z_STREAM_ERROR$2;\n  }\n\n  const s = strm.state;\n  const wrap = s.wrap;\n\n  if (wrap === 2 || (wrap === 1 && s.status !== INIT_STATE) || s.lookahead) {\n    return Z_STREAM_ERROR$2;\n  }\n\n  /* when using zlib wrappers, compute Adler-32 for provided dictionary */\n  if (wrap === 1) {\n    /* adler32(strm->adler, dictionary, dictLength); */\n    strm.adler = adler32_1(strm.adler, dictionary, dictLength, 0);\n  }\n\n  s.wrap = 0;   /* avoid computing Adler-32 in read_buf */\n\n  /* if dictionary would fill window, just replace the history */\n  if (dictLength >= s.w_size) {\n    if (wrap === 0) {            /* already empty otherwise */\n      /*** CLEAR_HASH(s); ***/\n      zero(s.head); // Fill with NIL (= 0);\n      s.strstart = 0;\n      s.block_start = 0;\n      s.insert = 0;\n    }\n    /* use the tail */\n    // dictionary = dictionary.slice(dictLength - s.w_size);\n    let tmpDict = new Uint8Array(s.w_size);\n    tmpDict.set(dictionary.subarray(dictLength - s.w_size, dictLength), 0);\n    dictionary = tmpDict;\n    dictLength = s.w_size;\n  }\n  /* insert dictionary into window and hash */\n  const avail = strm.avail_in;\n  const next = strm.next_in;\n  const input = strm.input;\n  strm.avail_in = dictLength;\n  strm.next_in = 0;\n  strm.input = dictionary;\n  fill_window(s);\n  while (s.lookahead >= MIN_MATCH) {\n    let str = s.strstart;\n    let n = s.lookahead - (MIN_MATCH - 1);\n    do {\n      /* UPDATE_HASH(s, s->ins_h, s->window[str + MIN_MATCH-1]); */\n      s.ins_h = HASH(s, s.ins_h, s.window[str + MIN_MATCH - 1]);\n\n      s.prev[str & s.w_mask] = s.head[s.ins_h];\n\n      s.head[s.ins_h] = str;\n      str++;\n    } while (--n);\n    s.strstart = str;\n    s.lookahead = MIN_MATCH - 1;\n    fill_window(s);\n  }\n  s.strstart += s.lookahead;\n  s.block_start = s.strstart;\n  s.insert = s.lookahead;\n  s.lookahead = 0;\n  s.match_length = s.prev_length = MIN_MATCH - 1;\n  s.match_available = 0;\n  strm.next_in = next;\n  strm.input = input;\n  strm.avail_in = avail;\n  s.wrap = wrap;\n  return Z_OK$3;\n};\n\n\nvar deflateInit_1 = deflateInit;\nvar deflateInit2_1 = deflateInit2;\nvar deflateReset_1 = deflateReset;\nvar deflateResetKeep_1 = deflateResetKeep;\nvar deflateSetHeader_1 = deflateSetHeader;\nvar deflate_2$1 = deflate$2;\nvar deflateEnd_1 = deflateEnd;\nvar deflateSetDictionary_1 = deflateSetDictionary;\nvar deflateInfo = 'pako deflate (from Nodeca project)';\n\n/* Not implemented\nmodule.exports.deflateBound = deflateBound;\nmodule.exports.deflateCopy = deflateCopy;\nmodule.exports.deflateGetDictionary = deflateGetDictionary;\nmodule.exports.deflateParams = deflateParams;\nmodule.exports.deflatePending = deflatePending;\nmodule.exports.deflatePrime = deflatePrime;\nmodule.exports.deflateTune = deflateTune;\n*/\n\nvar deflate_1$2 = {\n\tdeflateInit: deflateInit_1,\n\tdeflateInit2: deflateInit2_1,\n\tdeflateReset: deflateReset_1,\n\tdeflateResetKeep: deflateResetKeep_1,\n\tdeflateSetHeader: deflateSetHeader_1,\n\tdeflate: deflate_2$1,\n\tdeflateEnd: deflateEnd_1,\n\tdeflateSetDictionary: deflateSetDictionary_1,\n\tdeflateInfo: deflateInfo\n};\n\nconst _has = (obj, key) => {\n  return Object.prototype.hasOwnProperty.call(obj, key);\n};\n\nvar assign = function (obj /*from1, from2, from3, ...*/) {\n  const sources = Array.prototype.slice.call(arguments, 1);\n  while (sources.length) {\n    const source = sources.shift();\n    if (!source) { continue; }\n\n    if (typeof source !== 'object') {\n      throw new TypeError(source + 'must be non-object');\n    }\n\n    for (const p in source) {\n      if (_has(source, p)) {\n        obj[p] = source[p];\n      }\n    }\n  }\n\n  return obj;\n};\n\n\n// Join array of chunks to single array.\nvar flattenChunks = (chunks) => {\n  // calculate data length\n  let len = 0;\n\n  for (let i = 0, l = chunks.length; i < l; i++) {\n    len += chunks[i].length;\n  }\n\n  // join chunks\n  const result = new Uint8Array(len);\n\n  for (let i = 0, pos = 0, l = chunks.length; i < l; i++) {\n    let chunk = chunks[i];\n    result.set(chunk, pos);\n    pos += chunk.length;\n  }\n\n  return result;\n};\n\nvar common = {\n\tassign: assign,\n\tflattenChunks: flattenChunks\n};\n\n// String encode/decode helpers\n\n\n// Quick check if we can use fast array to bin string conversion\n//\n// - apply(Array) can fail on Android 2.2\n// - apply(Uint8Array) can fail on iOS 5.1 Safari\n//\nlet STR_APPLY_UIA_OK = true;\n\ntry { String.fromCharCode.apply(null, new Uint8Array(1)); } catch (__) { STR_APPLY_UIA_OK = false; }\n\n\n// Table with utf8 lengths (calculated by first byte of sequence)\n// Note, that 5 & 6-byte values and some 4-byte values can not be represented in JS,\n// because max possible codepoint is 0x10ffff\nconst _utf8len = new Uint8Array(256);\nfor (let q = 0; q < 256; q++) {\n  _utf8len[q] = (q >= 252 ? 6 : q >= 248 ? 5 : q >= 240 ? 4 : q >= 224 ? 3 : q >= 192 ? 2 : 1);\n}\n_utf8len[254] = _utf8len[254] = 1; // Invalid sequence start\n\n\n// convert string to array (typed, when possible)\nvar string2buf = (str) => {\n  if (typeof TextEncoder === 'function' && TextEncoder.prototype.encode) {\n    return new TextEncoder().encode(str);\n  }\n\n  let buf, c, c2, m_pos, i, str_len = str.length, buf_len = 0;\n\n  // count binary size\n  for (m_pos = 0; m_pos < str_len; m_pos++) {\n    c = str.charCodeAt(m_pos);\n    if ((c & 0xfc00) === 0xd800 && (m_pos + 1 < str_len)) {\n      c2 = str.charCodeAt(m_pos + 1);\n      if ((c2 & 0xfc00) === 0xdc00) {\n        c = 0x10000 + ((c - 0xd800) << 10) + (c2 - 0xdc00);\n        m_pos++;\n      }\n    }\n    buf_len += c < 0x80 ? 1 : c < 0x800 ? 2 : c < 0x10000 ? 3 : 4;\n  }\n\n  // allocate buffer\n  buf = new Uint8Array(buf_len);\n\n  // convert\n  for (i = 0, m_pos = 0; i < buf_len; m_pos++) {\n    c = str.charCodeAt(m_pos);\n    if ((c & 0xfc00) === 0xd800 && (m_pos + 1 < str_len)) {\n      c2 = str.charCodeAt(m_pos + 1);\n      if ((c2 & 0xfc00) === 0xdc00) {\n        c = 0x10000 + ((c - 0xd800) << 10) + (c2 - 0xdc00);\n        m_pos++;\n      }\n    }\n    if (c < 0x80) {\n      /* one byte */\n      buf[i++] = c;\n    } else if (c < 0x800) {\n      /* two bytes */\n      buf[i++] = 0xC0 | (c >>> 6);\n      buf[i++] = 0x80 | (c & 0x3f);\n    } else if (c < 0x10000) {\n      /* three bytes */\n      buf[i++] = 0xE0 | (c >>> 12);\n      buf[i++] = 0x80 | (c >>> 6 & 0x3f);\n      buf[i++] = 0x80 | (c & 0x3f);\n    } else {\n      /* four bytes */\n      buf[i++] = 0xf0 | (c >>> 18);\n      buf[i++] = 0x80 | (c >>> 12 & 0x3f);\n      buf[i++] = 0x80 | (c >>> 6 & 0x3f);\n      buf[i++] = 0x80 | (c & 0x3f);\n    }\n  }\n\n  return buf;\n};\n\n// Helper\nconst buf2binstring = (buf, len) => {\n  // On Chrome, the arguments in a function call that are allowed is `65534`.\n  // If the length of the buffer is smaller than that, we can use this optimization,\n  // otherwise we will take a slower path.\n  if (len < 65534) {\n    if (buf.subarray && STR_APPLY_UIA_OK) {\n      return String.fromCharCode.apply(null, buf.length === len ? buf : buf.subarray(0, len));\n    }\n  }\n\n  let result = '';\n  for (let i = 0; i < len; i++) {\n    result += String.fromCharCode(buf[i]);\n  }\n  return result;\n};\n\n\n// convert array to string\nvar buf2string = (buf, max) => {\n  const len = max || buf.length;\n\n  if (typeof TextDecoder === 'function' && TextDecoder.prototype.decode) {\n    return new TextDecoder().decode(buf.subarray(0, max));\n  }\n\n  let i, out;\n\n  // Reserve max possible length (2 words per char)\n  // NB: by unknown reasons, Array is significantly faster for\n  //     String.fromCharCode.apply than Uint16Array.\n  const utf16buf = new Array(len * 2);\n\n  for (out = 0, i = 0; i < len;) {\n    let c = buf[i++];\n    // quick process ascii\n    if (c < 0x80) { utf16buf[out++] = c; continue; }\n\n    let c_len = _utf8len[c];\n    // skip 5 & 6 byte codes\n    if (c_len > 4) { utf16buf[out++] = 0xfffd; i += c_len - 1; continue; }\n\n    // apply mask on first byte\n    c &= c_len === 2 ? 0x1f : c_len === 3 ? 0x0f : 0x07;\n    // join the rest\n    while (c_len > 1 && i < len) {\n      c = (c << 6) | (buf[i++] & 0x3f);\n      c_len--;\n    }\n\n    // terminated by end of string?\n    if (c_len > 1) { utf16buf[out++] = 0xfffd; continue; }\n\n    if (c < 0x10000) {\n      utf16buf[out++] = c;\n    } else {\n      c -= 0x10000;\n      utf16buf[out++] = 0xd800 | ((c >> 10) & 0x3ff);\n      utf16buf[out++] = 0xdc00 | (c & 0x3ff);\n    }\n  }\n\n  return buf2binstring(utf16buf, out);\n};\n\n\n// Calculate max possible position in utf8 buffer,\n// that will not break sequence. If that's not possible\n// - (very small limits) return max size as is.\n//\n// buf[] - utf8 bytes array\n// max   - length limit (mandatory);\nvar utf8border = (buf, max) => {\n\n  max = max || buf.length;\n  if (max > buf.length) { max = buf.length; }\n\n  // go back from last position, until start of sequence found\n  let pos = max - 1;\n  while (pos >= 0 && (buf[pos] & 0xC0) === 0x80) { pos--; }\n\n  // Very small and broken sequence,\n  // return max, because we should return something anyway.\n  if (pos < 0) { return max; }\n\n  // If we came to start of buffer - that means buffer is too small,\n  // return max too.\n  if (pos === 0) { return max; }\n\n  return (pos + _utf8len[buf[pos]] > max) ? pos : max;\n};\n\nvar strings = {\n\tstring2buf: string2buf,\n\tbuf2string: buf2string,\n\tutf8border: utf8border\n};\n\n// (C) 1995-2013 Jean-loup Gailly and Mark Adler\n// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin\n//\n// This software is provided 'as-is', without any express or implied\n// warranty. In no event will the authors be held liable for any damages\n// arising from the use of this software.\n//\n// Permission is granted to anyone to use this software for any purpose,\n// including commercial applications, and to alter it and redistribute it\n// freely, subject to the following restrictions:\n//\n// 1. The origin of this software must not be misrepresented; you must not\n//   claim that you wrote the original software. If you use this software\n//   in a product, an acknowledgment in the product documentation would be\n//   appreciated but is not required.\n// 2. Altered source versions must be plainly marked as such, and must not be\n//   misrepresented as being the original software.\n// 3. This notice may not be removed or altered from any source distribution.\n\nfunction ZStream() {\n  /* next input byte */\n  this.input = null; // JS specific, because we have no pointers\n  this.next_in = 0;\n  /* number of bytes available at input */\n  this.avail_in = 0;\n  /* total number of input bytes read so far */\n  this.total_in = 0;\n  /* next output byte should be put there */\n  this.output = null; // JS specific, because we have no pointers\n  this.next_out = 0;\n  /* remaining free space at output */\n  this.avail_out = 0;\n  /* total number of bytes output so far */\n  this.total_out = 0;\n  /* last error message, NULL if no error */\n  this.msg = ''/*Z_NULL*/;\n  /* not visible by applications */\n  this.state = null;\n  /* best guess about the data type: binary or text */\n  this.data_type = 2/*Z_UNKNOWN*/;\n  /* adler32 value of the uncompressed data */\n  this.adler = 0;\n}\n\nvar zstream = ZStream;\n\nconst toString$1 = Object.prototype.toString;\n\n/* Public constants ==========================================================*/\n/* ===========================================================================*/\n\nconst {\n  Z_NO_FLUSH: Z_NO_FLUSH$1, Z_SYNC_FLUSH, Z_FULL_FLUSH, Z_FINISH: Z_FINISH$2,\n  Z_OK: Z_OK$2, Z_STREAM_END: Z_STREAM_END$2,\n  Z_DEFAULT_COMPRESSION,\n  Z_DEFAULT_STRATEGY,\n  Z_DEFLATED: Z_DEFLATED$1\n} = constants$2;\n\n/* ===========================================================================*/\n\n\n/**\n * class Deflate\n *\n * Generic JS-style wrapper for zlib calls. If you don't need\n * streaming behaviour - use more simple functions: [[deflate]],\n * [[deflateRaw]] and [[gzip]].\n **/\n\n/* internal\n * Deflate.chunks -> Array\n *\n * Chunks of output data, if [[Deflate#onData]] not overridden.\n **/\n\n/**\n * Deflate.result -> Uint8Array\n *\n * Compressed result, generated by default [[Deflate#onData]]\n * and [[Deflate#onEnd]] handlers. Filled after you push last chunk\n * (call [[Deflate#push]] with `Z_FINISH` / `true` param).\n **/\n\n/**\n * Deflate.err -> Number\n *\n * Error code after deflate finished. 0 (Z_OK) on success.\n * You will not need it in real life, because deflate errors\n * are possible only on wrong options or bad `onData` / `onEnd`\n * custom handlers.\n **/\n\n/**\n * Deflate.msg -> String\n *\n * Error message, if [[Deflate.err]] != 0\n **/\n\n\n/**\n * new Deflate(options)\n * - options (Object): zlib deflate options.\n *\n * Creates new deflator instance with specified params. Throws exception\n * on bad params. Supported options:\n *\n * - `level`\n * - `windowBits`\n * - `memLevel`\n * - `strategy`\n * - `dictionary`\n *\n * [http://zlib.net/manual.html#Advanced](http://zlib.net/manual.html#Advanced)\n * for more information on these.\n *\n * Additional options, for internal needs:\n *\n * - `chunkSize` - size of generated data chunks (16K by default)\n * - `raw` (Boolean) - do raw deflate\n * - `gzip` (Boolean) - create gzip wrapper\n * - `header` (Object) - custom header for gzip\n *   - `text` (Boolean) - true if compressed data believed to be text\n *   - `time` (Number) - modification time, unix timestamp\n *   - `os` (Number) - operation system code\n *   - `extra` (Array) - array of bytes with extra data (max 65536)\n *   - `name` (String) - file name (binary string)\n *   - `comment` (String) - comment (binary string)\n *   - `hcrc` (Boolean) - true if header crc should be added\n *\n * ##### Example:\n *\n * ```javascript\n * const pako = require('pako')\n *   , chunk1 = new Uint8Array([1,2,3,4,5,6,7,8,9])\n *   , chunk2 = new Uint8Array([10,11,12,13,14,15,16,17,18,19]);\n *\n * const deflate = new pako.Deflate({ level: 3});\n *\n * deflate.push(chunk1, false);\n * deflate.push(chunk2, true);  // true -> last chunk\n *\n * if (deflate.err) { throw new Error(deflate.err); }\n *\n * console.log(deflate.result);\n * ```\n **/\nfunction Deflate$1(options) {\n  this.options = common.assign({\n    level: Z_DEFAULT_COMPRESSION,\n    method: Z_DEFLATED$1,\n    chunkSize: 16384,\n    windowBits: 15,\n    memLevel: 8,\n    strategy: Z_DEFAULT_STRATEGY\n  }, options || {});\n\n  let opt = this.options;\n\n  if (opt.raw && (opt.windowBits > 0)) {\n    opt.windowBits = -opt.windowBits;\n  }\n\n  else if (opt.gzip && (opt.windowBits > 0) && (opt.windowBits < 16)) {\n    opt.windowBits += 16;\n  }\n\n  this.err    = 0;      // error code, if happens (0 = Z_OK)\n  this.msg    = '';     // error message\n  this.ended  = false;  // used to avoid multiple onEnd() calls\n  this.chunks = [];     // chunks of compressed data\n\n  this.strm = new zstream();\n  this.strm.avail_out = 0;\n\n  let status = deflate_1$2.deflateInit2(\n    this.strm,\n    opt.level,\n    opt.method,\n    opt.windowBits,\n    opt.memLevel,\n    opt.strategy\n  );\n\n  if (status !== Z_OK$2) {\n    throw new Error(messages[status]);\n  }\n\n  if (opt.header) {\n    deflate_1$2.deflateSetHeader(this.strm, opt.header);\n  }\n\n  if (opt.dictionary) {\n    let dict;\n    // Convert data if needed\n    if (typeof opt.dictionary === 'string') {\n      // If we need to compress text, change encoding to utf8.\n      dict = strings.string2buf(opt.dictionary);\n    } else if (toString$1.call(opt.dictionary) === '[object ArrayBuffer]') {\n      dict = new Uint8Array(opt.dictionary);\n    } else {\n      dict = opt.dictionary;\n    }\n\n    status = deflate_1$2.deflateSetDictionary(this.strm, dict);\n\n    if (status !== Z_OK$2) {\n      throw new Error(messages[status]);\n    }\n\n    this._dict_set = true;\n  }\n}\n\n/**\n * Deflate#push(data[, flush_mode]) -> Boolean\n * - data (Uint8Array|ArrayBuffer|String): input data. Strings will be\n *   converted to utf8 byte sequence.\n * - flush_mode (Number|Boolean): 0..6 for corresponding Z_NO_FLUSH..Z_TREE modes.\n *   See constants. Skipped or `false` means Z_NO_FLUSH, `true` means Z_FINISH.\n *\n * Sends input data to deflate pipe, generating [[Deflate#onData]] calls with\n * new compressed chunks. Returns `true` on success. The last data block must\n * have `flush_mode` Z_FINISH (or `true`). That will flush internal pending\n * buffers and call [[Deflate#onEnd]].\n *\n * On fail call [[Deflate#onEnd]] with error code and return false.\n *\n * ##### Example\n *\n * ```javascript\n * push(chunk, false); // push one of data chunks\n * ...\n * push(chunk, true);  // push last chunk\n * ```\n **/\nDeflate$1.prototype.push = function (data, flush_mode) {\n  const strm = this.strm;\n  const chunkSize = this.options.chunkSize;\n  let status, _flush_mode;\n\n  if (this.ended) { return false; }\n\n  if (flush_mode === ~~flush_mode) _flush_mode = flush_mode;\n  else _flush_mode = flush_mode === true ? Z_FINISH$2 : Z_NO_FLUSH$1;\n\n  // Convert data if needed\n  if (typeof data === 'string') {\n    // If we need to compress text, change encoding to utf8.\n    strm.input = strings.string2buf(data);\n  } else if (toString$1.call(data) === '[object ArrayBuffer]') {\n    strm.input = new Uint8Array(data);\n  } else {\n    strm.input = data;\n  }\n\n  strm.next_in = 0;\n  strm.avail_in = strm.input.length;\n\n  for (;;) {\n    if (strm.avail_out === 0) {\n      strm.output = new Uint8Array(chunkSize);\n      strm.next_out = 0;\n      strm.avail_out = chunkSize;\n    }\n\n    // Make sure avail_out > 6 to avoid repeating markers\n    if ((_flush_mode === Z_SYNC_FLUSH || _flush_mode === Z_FULL_FLUSH) && strm.avail_out <= 6) {\n      this.onData(strm.output.subarray(0, strm.next_out));\n      strm.avail_out = 0;\n      continue;\n    }\n\n    status = deflate_1$2.deflate(strm, _flush_mode);\n\n    // Ended => flush and finish\n    if (status === Z_STREAM_END$2) {\n      if (strm.next_out > 0) {\n        this.onData(strm.output.subarray(0, strm.next_out));\n      }\n      status = deflate_1$2.deflateEnd(this.strm);\n      this.onEnd(status);\n      this.ended = true;\n      return status === Z_OK$2;\n    }\n\n    // Flush if out buffer full\n    if (strm.avail_out === 0) {\n      this.onData(strm.output);\n      continue;\n    }\n\n    // Flush if requested and has data\n    if (_flush_mode > 0 && strm.next_out > 0) {\n      this.onData(strm.output.subarray(0, strm.next_out));\n      strm.avail_out = 0;\n      continue;\n    }\n\n    if (strm.avail_in === 0) break;\n  }\n\n  return true;\n};\n\n\n/**\n * Deflate#onData(chunk) -> Void\n * - chunk (Uint8Array): output data.\n *\n * By default, stores data blocks in `chunks[]` property and glue\n * those in `onEnd`. Override this handler, if you need another behaviour.\n **/\nDeflate$1.prototype.onData = function (chunk) {\n  this.chunks.push(chunk);\n};\n\n\n/**\n * Deflate#onEnd(status) -> Void\n * - status (Number): deflate status. 0 (Z_OK) on success,\n *   other if not.\n *\n * Called once after you tell deflate that the input stream is\n * complete (Z_FINISH). By default - join collected chunks,\n * free memory and fill `results` / `err` properties.\n **/\nDeflate$1.prototype.onEnd = function (status) {\n  // On success - join\n  if (status === Z_OK$2) {\n    this.result = common.flattenChunks(this.chunks);\n  }\n  this.chunks = [];\n  this.err = status;\n  this.msg = this.strm.msg;\n};\n\n\n/**\n * deflate(data[, options]) -> Uint8Array\n * - data (Uint8Array|ArrayBuffer|String): input data to compress.\n * - options (Object): zlib deflate options.\n *\n * Compress `data` with deflate algorithm and `options`.\n *\n * Supported options are:\n *\n * - level\n * - windowBits\n * - memLevel\n * - strategy\n * - dictionary\n *\n * [http://zlib.net/manual.html#Advanced](http://zlib.net/manual.html#Advanced)\n * for more information on these.\n *\n * Sugar (options):\n *\n * - `raw` (Boolean) - say that we work with raw stream, if you don't wish to specify\n *   negative windowBits implicitly.\n *\n * ##### Example:\n *\n * ```javascript\n * const pako = require('pako')\n * const data = new Uint8Array([1,2,3,4,5,6,7,8,9]);\n *\n * console.log(pako.deflate(data));\n * ```\n **/\nfunction deflate$1(input, options) {\n  const deflator = new Deflate$1(options);\n\n  deflator.push(input, true);\n\n  // That will never happens, if you don't cheat with options :)\n  if (deflator.err) { throw deflator.msg || messages[deflator.err]; }\n\n  return deflator.result;\n}\n\n\n/**\n * deflateRaw(data[, options]) -> Uint8Array\n * - data (Uint8Array|ArrayBuffer|String): input data to compress.\n * - options (Object): zlib deflate options.\n *\n * The same as [[deflate]], but creates raw data, without wrapper\n * (header and adler32 crc).\n **/\nfunction deflateRaw$1(input, options) {\n  options = options || {};\n  options.raw = true;\n  return deflate$1(input, options);\n}\n\n\n/**\n * gzip(data[, options]) -> Uint8Array\n * - data (Uint8Array|ArrayBuffer|String): input data to compress.\n * - options (Object): zlib deflate options.\n *\n * The same as [[deflate]], but create gzip wrapper instead of\n * deflate one.\n **/\nfunction gzip$1(input, options) {\n  options = options || {};\n  options.gzip = true;\n  return deflate$1(input, options);\n}\n\n\nvar Deflate_1$1 = Deflate$1;\nvar deflate_2 = deflate$1;\nvar deflateRaw_1$1 = deflateRaw$1;\nvar gzip_1$1 = gzip$1;\n\nvar deflate_1$1 = {\n\tDeflate: Deflate_1$1,\n\tdeflate: deflate_2,\n\tdeflateRaw: deflateRaw_1$1,\n\tgzip: gzip_1$1};\n\n// (C) 1995-2013 Jean-loup Gailly and Mark Adler\n// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin\n//\n// This software is provided 'as-is', without any express or implied\n// warranty. In no event will the authors be held liable for any damages\n// arising from the use of this software.\n//\n// Permission is granted to anyone to use this software for any purpose,\n// including commercial applications, and to alter it and redistribute it\n// freely, subject to the following restrictions:\n//\n// 1. The origin of this software must not be misrepresented; you must not\n//   claim that you wrote the original software. If you use this software\n//   in a product, an acknowledgment in the product documentation would be\n//   appreciated but is not required.\n// 2. Altered source versions must be plainly marked as such, and must not be\n//   misrepresented as being the original software.\n// 3. This notice may not be removed or altered from any source distribution.\n\n// See state defs from inflate.js\nconst BAD$1 = 16209;       /* got a data error -- remain here until reset */\nconst TYPE$1 = 16191;      /* i: waiting for type bits, including last-flag bit */\n\n/*\n   Decode literal, length, and distance codes and write out the resulting\n   literal and match bytes until either not enough input or output is\n   available, an end-of-block is encountered, or a data error is encountered.\n   When large enough input and output buffers are supplied to inflate(), for\n   example, a 16K input buffer and a 64K output buffer, more than 95% of the\n   inflate execution time is spent in this routine.\n\n   Entry assumptions:\n\n        state.mode === LEN\n        strm.avail_in >= 6\n        strm.avail_out >= 258\n        start >= strm.avail_out\n        state.bits < 8\n\n   On return, state.mode is one of:\n\n        LEN -- ran out of enough output space or enough available input\n        TYPE -- reached end of block code, inflate() to interpret next block\n        BAD -- error in block data\n\n   Notes:\n\n    - The maximum input bits used by a length/distance pair is 15 bits for the\n      length code, 5 bits for the length extra, 15 bits for the distance code,\n      and 13 bits for the distance extra.  This totals 48 bits, or six bytes.\n      Therefore if strm.avail_in >= 6, then there is enough input to avoid\n      checking for available input while decoding.\n\n    - The maximum bytes that a single length/distance pair can output is 258\n      bytes, which is the maximum length that can be coded.  inflate_fast()\n      requires strm.avail_out >= 258 for each loop to avoid checking for\n      output space.\n */\nvar inffast = function inflate_fast(strm, start) {\n  let _in;                    /* local strm.input */\n  let last;                   /* have enough input while in < last */\n  let _out;                   /* local strm.output */\n  let beg;                    /* inflate()'s initial strm.output */\n  let end;                    /* while out < end, enough space available */\n//#ifdef INFLATE_STRICT\n  let dmax;                   /* maximum distance from zlib header */\n//#endif\n  let wsize;                  /* window size or zero if not using window */\n  let whave;                  /* valid bytes in the window */\n  let wnext;                  /* window write index */\n  // Use `s_window` instead `window`, avoid conflict with instrumentation tools\n  let s_window;               /* allocated sliding window, if wsize != 0 */\n  let hold;                   /* local strm.hold */\n  let bits;                   /* local strm.bits */\n  let lcode;                  /* local strm.lencode */\n  let dcode;                  /* local strm.distcode */\n  let lmask;                  /* mask for first level of length codes */\n  let dmask;                  /* mask for first level of distance codes */\n  let here;                   /* retrieved table entry */\n  let op;                     /* code bits, operation, extra bits, or */\n                              /*  window position, window bytes to copy */\n  let len;                    /* match length, unused bytes */\n  let dist;                   /* match distance */\n  let from;                   /* where to copy match from */\n  let from_source;\n\n\n  let input, output; // JS specific, because we have no pointers\n\n  /* copy state to local variables */\n  const state = strm.state;\n  //here = state.here;\n  _in = strm.next_in;\n  input = strm.input;\n  last = _in + (strm.avail_in - 5);\n  _out = strm.next_out;\n  output = strm.output;\n  beg = _out - (start - strm.avail_out);\n  end = _out + (strm.avail_out - 257);\n//#ifdef INFLATE_STRICT\n  dmax = state.dmax;\n//#endif\n  wsize = state.wsize;\n  whave = state.whave;\n  wnext = state.wnext;\n  s_window = state.window;\n  hold = state.hold;\n  bits = state.bits;\n  lcode = state.lencode;\n  dcode = state.distcode;\n  lmask = (1 << state.lenbits) - 1;\n  dmask = (1 << state.distbits) - 1;\n\n\n  /* decode literals and length/distances until end-of-block or not enough\n     input data or output space */\n\n  top:\n  do {\n    if (bits < 15) {\n      hold += input[_in++] << bits;\n      bits += 8;\n      hold += input[_in++] << bits;\n      bits += 8;\n    }\n\n    here = lcode[hold & lmask];\n\n    dolen:\n    for (;;) { // Goto emulation\n      op = here >>> 24/*here.bits*/;\n      hold >>>= op;\n      bits -= op;\n      op = (here >>> 16) & 0xff/*here.op*/;\n      if (op === 0) {                          /* literal */\n        //Tracevv((stderr, here.val >= 0x20 && here.val < 0x7f ?\n        //        \"inflate:         literal '%c'\\n\" :\n        //        \"inflate:         literal 0x%02x\\n\", here.val));\n        output[_out++] = here & 0xffff/*here.val*/;\n      }\n      else if (op & 16) {                     /* length base */\n        len = here & 0xffff/*here.val*/;\n        op &= 15;                           /* number of extra bits */\n        if (op) {\n          if (bits < op) {\n            hold += input[_in++] << bits;\n            bits += 8;\n          }\n          len += hold & ((1 << op) - 1);\n          hold >>>= op;\n          bits -= op;\n        }\n        //Tracevv((stderr, \"inflate:         length %u\\n\", len));\n        if (bits < 15) {\n          hold += input[_in++] << bits;\n          bits += 8;\n          hold += input[_in++] << bits;\n          bits += 8;\n        }\n        here = dcode[hold & dmask];\n\n        dodist:\n        for (;;) { // goto emulation\n          op = here >>> 24/*here.bits*/;\n          hold >>>= op;\n          bits -= op;\n          op = (here >>> 16) & 0xff/*here.op*/;\n\n          if (op & 16) {                      /* distance base */\n            dist = here & 0xffff/*here.val*/;\n            op &= 15;                       /* number of extra bits */\n            if (bits < op) {\n              hold += input[_in++] << bits;\n              bits += 8;\n              if (bits < op) {\n                hold += input[_in++] << bits;\n                bits += 8;\n              }\n            }\n            dist += hold & ((1 << op) - 1);\n//#ifdef INFLATE_STRICT\n            if (dist > dmax) {\n              strm.msg = 'invalid distance too far back';\n              state.mode = BAD$1;\n              break top;\n            }\n//#endif\n            hold >>>= op;\n            bits -= op;\n            //Tracevv((stderr, \"inflate:         distance %u\\n\", dist));\n            op = _out - beg;                /* max distance in output */\n            if (dist > op) {                /* see if copy from window */\n              op = dist - op;               /* distance back in window */\n              if (op > whave) {\n                if (state.sane) {\n                  strm.msg = 'invalid distance too far back';\n                  state.mode = BAD$1;\n                  break top;\n                }\n\n// (!) This block is disabled in zlib defaults,\n// don't enable it for binary compatibility\n//#ifdef INFLATE_ALLOW_INVALID_DISTANCE_TOOFAR_ARRR\n//                if (len <= op - whave) {\n//                  do {\n//                    output[_out++] = 0;\n//                  } while (--len);\n//                  continue top;\n//                }\n//                len -= op - whave;\n//                do {\n//                  output[_out++] = 0;\n//                } while (--op > whave);\n//                if (op === 0) {\n//                  from = _out - dist;\n//                  do {\n//                    output[_out++] = output[from++];\n//                  } while (--len);\n//                  continue top;\n//                }\n//#endif\n              }\n              from = 0; // window index\n              from_source = s_window;\n              if (wnext === 0) {           /* very common case */\n                from += wsize - op;\n                if (op < len) {         /* some from window */\n                  len -= op;\n                  do {\n                    output[_out++] = s_window[from++];\n                  } while (--op);\n                  from = _out - dist;  /* rest from output */\n                  from_source = output;\n                }\n              }\n              else if (wnext < op) {      /* wrap around window */\n                from += wsize + wnext - op;\n                op -= wnext;\n                if (op < len) {         /* some from end of window */\n                  len -= op;\n                  do {\n                    output[_out++] = s_window[from++];\n                  } while (--op);\n                  from = 0;\n                  if (wnext < len) {  /* some from start of window */\n                    op = wnext;\n                    len -= op;\n                    do {\n                      output[_out++] = s_window[from++];\n                    } while (--op);\n                    from = _out - dist;      /* rest from output */\n                    from_source = output;\n                  }\n                }\n              }\n              else {                      /* contiguous in window */\n                from += wnext - op;\n                if (op < len) {         /* some from window */\n                  len -= op;\n                  do {\n                    output[_out++] = s_window[from++];\n                  } while (--op);\n                  from = _out - dist;  /* rest from output */\n                  from_source = output;\n                }\n              }\n              while (len > 2) {\n                output[_out++] = from_source[from++];\n                output[_out++] = from_source[from++];\n                output[_out++] = from_source[from++];\n                len -= 3;\n              }\n              if (len) {\n                output[_out++] = from_source[from++];\n                if (len > 1) {\n                  output[_out++] = from_source[from++];\n                }\n              }\n            }\n            else {\n              from = _out - dist;          /* copy direct from output */\n              do {                        /* minimum length is three */\n                output[_out++] = output[from++];\n                output[_out++] = output[from++];\n                output[_out++] = output[from++];\n                len -= 3;\n              } while (len > 2);\n              if (len) {\n                output[_out++] = output[from++];\n                if (len > 1) {\n                  output[_out++] = output[from++];\n                }\n              }\n            }\n          }\n          else if ((op & 64) === 0) {          /* 2nd level distance code */\n            here = dcode[(here & 0xffff)/*here.val*/ + (hold & ((1 << op) - 1))];\n            continue dodist;\n          }\n          else {\n            strm.msg = 'invalid distance code';\n            state.mode = BAD$1;\n            break top;\n          }\n\n          break; // need to emulate goto via \"continue\"\n        }\n      }\n      else if ((op & 64) === 0) {              /* 2nd level length code */\n        here = lcode[(here & 0xffff)/*here.val*/ + (hold & ((1 << op) - 1))];\n        continue dolen;\n      }\n      else if (op & 32) {                     /* end-of-block */\n        //Tracevv((stderr, \"inflate:         end of block\\n\"));\n        state.mode = TYPE$1;\n        break top;\n      }\n      else {\n        strm.msg = 'invalid literal/length code';\n        state.mode = BAD$1;\n        break top;\n      }\n\n      break; // need to emulate goto via \"continue\"\n    }\n  } while (_in < last && _out < end);\n\n  /* return unused bytes (on entry, bits < 8, so in won't go too far back) */\n  len = bits >> 3;\n  _in -= len;\n  bits -= len << 3;\n  hold &= (1 << bits) - 1;\n\n  /* update state and return */\n  strm.next_in = _in;\n  strm.next_out = _out;\n  strm.avail_in = (_in < last ? 5 + (last - _in) : 5 - (_in - last));\n  strm.avail_out = (_out < end ? 257 + (end - _out) : 257 - (_out - end));\n  state.hold = hold;\n  state.bits = bits;\n  return;\n};\n\n// (C) 1995-2013 Jean-loup Gailly and Mark Adler\n// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin\n//\n// This software is provided 'as-is', without any express or implied\n// warranty. In no event will the authors be held liable for any damages\n// arising from the use of this software.\n//\n// Permission is granted to anyone to use this software for any purpose,\n// including commercial applications, and to alter it and redistribute it\n// freely, subject to the following restrictions:\n//\n// 1. The origin of this software must not be misrepresented; you must not\n//   claim that you wrote the original software. If you use this software\n//   in a product, an acknowledgment in the product documentation would be\n//   appreciated but is not required.\n// 2. Altered source versions must be plainly marked as such, and must not be\n//   misrepresented as being the original software.\n// 3. This notice may not be removed or altered from any source distribution.\n\nconst MAXBITS = 15;\nconst ENOUGH_LENS$1 = 852;\nconst ENOUGH_DISTS$1 = 592;\n//const ENOUGH = (ENOUGH_LENS+ENOUGH_DISTS);\n\nconst CODES$1 = 0;\nconst LENS$1 = 1;\nconst DISTS$1 = 2;\n\nconst lbase = new Uint16Array([ /* Length codes 257..285 base */\n  3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 15, 17, 19, 23, 27, 31,\n  35, 43, 51, 59, 67, 83, 99, 115, 131, 163, 195, 227, 258, 0, 0\n]);\n\nconst lext = new Uint8Array([ /* Length codes 257..285 extra */\n  16, 16, 16, 16, 16, 16, 16, 16, 17, 17, 17, 17, 18, 18, 18, 18,\n  19, 19, 19, 19, 20, 20, 20, 20, 21, 21, 21, 21, 16, 72, 78\n]);\n\nconst dbase = new Uint16Array([ /* Distance codes 0..29 base */\n  1, 2, 3, 4, 5, 7, 9, 13, 17, 25, 33, 49, 65, 97, 129, 193,\n  257, 385, 513, 769, 1025, 1537, 2049, 3073, 4097, 6145,\n  8193, 12289, 16385, 24577, 0, 0\n]);\n\nconst dext = new Uint8Array([ /* Distance codes 0..29 extra */\n  16, 16, 16, 16, 17, 17, 18, 18, 19, 19, 20, 20, 21, 21, 22, 22,\n  23, 23, 24, 24, 25, 25, 26, 26, 27, 27,\n  28, 28, 29, 29, 64, 64\n]);\n\nconst inflate_table = (type, lens, lens_index, codes, table, table_index, work, opts) =>\n{\n  const bits = opts.bits;\n      //here = opts.here; /* table entry for duplication */\n\n  let len = 0;               /* a code's length in bits */\n  let sym = 0;               /* index of code symbols */\n  let min = 0, max = 0;          /* minimum and maximum code lengths */\n  let root = 0;              /* number of index bits for root table */\n  let curr = 0;              /* number of index bits for current table */\n  let drop = 0;              /* code bits to drop for sub-table */\n  let left = 0;                   /* number of prefix codes available */\n  let used = 0;              /* code entries in table used */\n  let huff = 0;              /* Huffman code */\n  let incr;              /* for incrementing code, index */\n  let fill;              /* index for replicating entries */\n  let low;               /* low bits for current root entry */\n  let mask;              /* mask for low root bits */\n  let next;             /* next available space in table */\n  let base = null;     /* base value table to use */\n//  let shoextra;    /* extra bits table to use */\n  let match;                  /* use base and extra for symbol >= match */\n  const count = new Uint16Array(MAXBITS + 1); //[MAXBITS+1];    /* number of codes of each length */\n  const offs = new Uint16Array(MAXBITS + 1); //[MAXBITS+1];     /* offsets in table for each length */\n  let extra = null;\n\n  let here_bits, here_op, here_val;\n\n  /*\n   Process a set of code lengths to create a canonical Huffman code.  The\n   code lengths are lens[0..codes-1].  Each length corresponds to the\n   symbols 0..codes-1.  The Huffman code is generated by first sorting the\n   symbols by length from short to long, and retaining the symbol order\n   for codes with equal lengths.  Then the code starts with all zero bits\n   for the first code of the shortest length, and the codes are integer\n   increments for the same length, and zeros are appended as the length\n   increases.  For the deflate format, these bits are stored backwards\n   from their more natural integer increment ordering, and so when the\n   decoding tables are built in the large loop below, the integer codes\n   are incremented backwards.\n\n   This routine assumes, but does not check, that all of the entries in\n   lens[] are in the range 0..MAXBITS.  The caller must assure this.\n   1..MAXBITS is interpreted as that code length.  zero means that that\n   symbol does not occur in this code.\n\n   The codes are sorted by computing a count of codes for each length,\n   creating from that a table of starting indices for each length in the\n   sorted table, and then entering the symbols in order in the sorted\n   table.  The sorted table is work[], with that space being provided by\n   the caller.\n\n   The length counts are used for other purposes as well, i.e. finding\n   the minimum and maximum length codes, determining if there are any\n   codes at all, checking for a valid set of lengths, and looking ahead\n   at length counts to determine sub-table sizes when building the\n   decoding tables.\n   */\n\n  /* accumulate lengths for codes (assumes lens[] all in 0..MAXBITS) */\n  for (len = 0; len <= MAXBITS; len++) {\n    count[len] = 0;\n  }\n  for (sym = 0; sym < codes; sym++) {\n    count[lens[lens_index + sym]]++;\n  }\n\n  /* bound code lengths, force root to be within code lengths */\n  root = bits;\n  for (max = MAXBITS; max >= 1; max--) {\n    if (count[max] !== 0) { break; }\n  }\n  if (root > max) {\n    root = max;\n  }\n  if (max === 0) {                     /* no symbols to code at all */\n    //table.op[opts.table_index] = 64;  //here.op = (var char)64;    /* invalid code marker */\n    //table.bits[opts.table_index] = 1;   //here.bits = (var char)1;\n    //table.val[opts.table_index++] = 0;   //here.val = (var short)0;\n    table[table_index++] = (1 << 24) | (64 << 16) | 0;\n\n\n    //table.op[opts.table_index] = 64;\n    //table.bits[opts.table_index] = 1;\n    //table.val[opts.table_index++] = 0;\n    table[table_index++] = (1 << 24) | (64 << 16) | 0;\n\n    opts.bits = 1;\n    return 0;     /* no symbols, but wait for decoding to report error */\n  }\n  for (min = 1; min < max; min++) {\n    if (count[min] !== 0) { break; }\n  }\n  if (root < min) {\n    root = min;\n  }\n\n  /* check for an over-subscribed or incomplete set of lengths */\n  left = 1;\n  for (len = 1; len <= MAXBITS; len++) {\n    left <<= 1;\n    left -= count[len];\n    if (left < 0) {\n      return -1;\n    }        /* over-subscribed */\n  }\n  if (left > 0 && (type === CODES$1 || max !== 1)) {\n    return -1;                      /* incomplete set */\n  }\n\n  /* generate offsets into symbol table for each length for sorting */\n  offs[1] = 0;\n  for (len = 1; len < MAXBITS; len++) {\n    offs[len + 1] = offs[len] + count[len];\n  }\n\n  /* sort symbols by length, by symbol order within each length */\n  for (sym = 0; sym < codes; sym++) {\n    if (lens[lens_index + sym] !== 0) {\n      work[offs[lens[lens_index + sym]]++] = sym;\n    }\n  }\n\n  /*\n   Create and fill in decoding tables.  In this loop, the table being\n   filled is at next and has curr index bits.  The code being used is huff\n   with length len.  That code is converted to an index by dropping drop\n   bits off of the bottom.  For codes where len is less than drop + curr,\n   those top drop + curr - len bits are incremented through all values to\n   fill the table with replicated entries.\n\n   root is the number of index bits for the root table.  When len exceeds\n   root, sub-tables are created pointed to by the root entry with an index\n   of the low root bits of huff.  This is saved in low to check for when a\n   new sub-table should be started.  drop is zero when the root table is\n   being filled, and drop is root when sub-tables are being filled.\n\n   When a new sub-table is needed, it is necessary to look ahead in the\n   code lengths to determine what size sub-table is needed.  The length\n   counts are used for this, and so count[] is decremented as codes are\n   entered in the tables.\n\n   used keeps track of how many table entries have been allocated from the\n   provided *table space.  It is checked for LENS and DIST tables against\n   the constants ENOUGH_LENS and ENOUGH_DISTS to guard against changes in\n   the initial root table size constants.  See the comments in inftrees.h\n   for more information.\n\n   sym increments through all symbols, and the loop terminates when\n   all codes of length max, i.e. all codes, have been processed.  This\n   routine permits incomplete codes, so another loop after this one fills\n   in the rest of the decoding tables with invalid code markers.\n   */\n\n  /* set up for code type */\n  // poor man optimization - use if-else instead of switch,\n  // to avoid deopts in old v8\n  if (type === CODES$1) {\n    base = extra = work;    /* dummy value--not used */\n    match = 20;\n\n  } else if (type === LENS$1) {\n    base = lbase;\n    extra = lext;\n    match = 257;\n\n  } else {                    /* DISTS */\n    base = dbase;\n    extra = dext;\n    match = 0;\n  }\n\n  /* initialize opts for loop */\n  huff = 0;                   /* starting code */\n  sym = 0;                    /* starting code symbol */\n  len = min;                  /* starting code length */\n  next = table_index;              /* current table to fill in */\n  curr = root;                /* current table index bits */\n  drop = 0;                   /* current bits to drop from code for index */\n  low = -1;                   /* trigger new sub-table when len > root */\n  used = 1 << root;          /* use root table entries */\n  mask = used - 1;            /* mask for comparing low */\n\n  /* check available table space */\n  if ((type === LENS$1 && used > ENOUGH_LENS$1) ||\n    (type === DISTS$1 && used > ENOUGH_DISTS$1)) {\n    return 1;\n  }\n\n  /* process all codes and make table entries */\n  for (;;) {\n    /* create table entry */\n    here_bits = len - drop;\n    if (work[sym] + 1 < match) {\n      here_op = 0;\n      here_val = work[sym];\n    }\n    else if (work[sym] >= match) {\n      here_op = extra[work[sym] - match];\n      here_val = base[work[sym] - match];\n    }\n    else {\n      here_op = 32 + 64;         /* end of block */\n      here_val = 0;\n    }\n\n    /* replicate for those indices with low len bits equal to huff */\n    incr = 1 << (len - drop);\n    fill = 1 << curr;\n    min = fill;                 /* save offset to next table */\n    do {\n      fill -= incr;\n      table[next + (huff >> drop) + fill] = (here_bits << 24) | (here_op << 16) | here_val |0;\n    } while (fill !== 0);\n\n    /* backwards increment the len-bit code huff */\n    incr = 1 << (len - 1);\n    while (huff & incr) {\n      incr >>= 1;\n    }\n    if (incr !== 0) {\n      huff &= incr - 1;\n      huff += incr;\n    } else {\n      huff = 0;\n    }\n\n    /* go to next symbol, update count, len */\n    sym++;\n    if (--count[len] === 0) {\n      if (len === max) { break; }\n      len = lens[lens_index + work[sym]];\n    }\n\n    /* create new sub-table if needed */\n    if (len > root && (huff & mask) !== low) {\n      /* if first time, transition to sub-tables */\n      if (drop === 0) {\n        drop = root;\n      }\n\n      /* increment past last table */\n      next += min;            /* here min is 1 << curr */\n\n      /* determine length of next table */\n      curr = len - drop;\n      left = 1 << curr;\n      while (curr + drop < max) {\n        left -= count[curr + drop];\n        if (left <= 0) { break; }\n        curr++;\n        left <<= 1;\n      }\n\n      /* check for enough space */\n      used += 1 << curr;\n      if ((type === LENS$1 && used > ENOUGH_LENS$1) ||\n        (type === DISTS$1 && used > ENOUGH_DISTS$1)) {\n        return 1;\n      }\n\n      /* point entry in root table to sub-table */\n      low = huff & mask;\n      /*table.op[low] = curr;\n      table.bits[low] = root;\n      table.val[low] = next - opts.table_index;*/\n      table[low] = (root << 24) | (curr << 16) | (next - table_index) |0;\n    }\n  }\n\n  /* fill in remaining table entry if code is incomplete (guaranteed to have\n   at most one remaining entry, since if the code is incomplete, the\n   maximum code length that was allowed to get this far is one bit) */\n  if (huff !== 0) {\n    //table.op[next + huff] = 64;            /* invalid code marker */\n    //table.bits[next + huff] = len - drop;\n    //table.val[next + huff] = 0;\n    table[next + huff] = ((len - drop) << 24) | (64 << 16) |0;\n  }\n\n  /* set return parameters */\n  //opts.table_index += used;\n  opts.bits = root;\n  return 0;\n};\n\n\nvar inftrees = inflate_table;\n\n// (C) 1995-2013 Jean-loup Gailly and Mark Adler\n// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin\n//\n// This software is provided 'as-is', without any express or implied\n// warranty. In no event will the authors be held liable for any damages\n// arising from the use of this software.\n//\n// Permission is granted to anyone to use this software for any purpose,\n// including commercial applications, and to alter it and redistribute it\n// freely, subject to the following restrictions:\n//\n// 1. The origin of this software must not be misrepresented; you must not\n//   claim that you wrote the original software. If you use this software\n//   in a product, an acknowledgment in the product documentation would be\n//   appreciated but is not required.\n// 2. Altered source versions must be plainly marked as such, and must not be\n//   misrepresented as being the original software.\n// 3. This notice may not be removed or altered from any source distribution.\n\n\n\n\n\n\nconst CODES = 0;\nconst LENS = 1;\nconst DISTS = 2;\n\n/* Public constants ==========================================================*/\n/* ===========================================================================*/\n\nconst {\n  Z_FINISH: Z_FINISH$1, Z_BLOCK, Z_TREES,\n  Z_OK: Z_OK$1, Z_STREAM_END: Z_STREAM_END$1, Z_NEED_DICT: Z_NEED_DICT$1, Z_STREAM_ERROR: Z_STREAM_ERROR$1, Z_DATA_ERROR: Z_DATA_ERROR$1, Z_MEM_ERROR: Z_MEM_ERROR$1, Z_BUF_ERROR,\n  Z_DEFLATED\n} = constants$2;\n\n\n/* STATES ====================================================================*/\n/* ===========================================================================*/\n\n\nconst    HEAD = 16180;       /* i: waiting for magic header */\nconst    FLAGS = 16181;      /* i: waiting for method and flags (gzip) */\nconst    TIME = 16182;       /* i: waiting for modification time (gzip) */\nconst    OS = 16183;         /* i: waiting for extra flags and operating system (gzip) */\nconst    EXLEN = 16184;      /* i: waiting for extra length (gzip) */\nconst    EXTRA = 16185;      /* i: waiting for extra bytes (gzip) */\nconst    NAME = 16186;       /* i: waiting for end of file name (gzip) */\nconst    COMMENT = 16187;    /* i: waiting for end of comment (gzip) */\nconst    HCRC = 16188;       /* i: waiting for header crc (gzip) */\nconst    DICTID = 16189;    /* i: waiting for dictionary check value */\nconst    DICT = 16190;      /* waiting for inflateSetDictionary() call */\nconst        TYPE = 16191;      /* i: waiting for type bits, including last-flag bit */\nconst        TYPEDO = 16192;    /* i: same, but skip check to exit inflate on new block */\nconst        STORED = 16193;    /* i: waiting for stored size (length and complement) */\nconst        COPY_ = 16194;     /* i/o: same as COPY below, but only first time in */\nconst        COPY = 16195;      /* i/o: waiting for input or output to copy stored block */\nconst        TABLE = 16196;     /* i: waiting for dynamic block table lengths */\nconst        LENLENS = 16197;   /* i: waiting for code length code lengths */\nconst        CODELENS = 16198;  /* i: waiting for length/lit and distance code lengths */\nconst            LEN_ = 16199;      /* i: same as LEN below, but only first time in */\nconst            LEN = 16200;       /* i: waiting for length/lit/eob code */\nconst            LENEXT = 16201;    /* i: waiting for length extra bits */\nconst            DIST = 16202;      /* i: waiting for distance code */\nconst            DISTEXT = 16203;   /* i: waiting for distance extra bits */\nconst            MATCH = 16204;     /* o: waiting for output space to copy string */\nconst            LIT = 16205;       /* o: waiting for output space to write literal */\nconst    CHECK = 16206;     /* i: waiting for 32-bit check value */\nconst    LENGTH = 16207;    /* i: waiting for 32-bit length (gzip) */\nconst    DONE = 16208;      /* finished check, done -- remain here until reset */\nconst    BAD = 16209;       /* got a data error -- remain here until reset */\nconst    MEM = 16210;       /* got an inflate() memory error -- remain here until reset */\nconst    SYNC = 16211;      /* looking for synchronization bytes to restart inflate() */\n\n/* ===========================================================================*/\n\n\n\nconst ENOUGH_LENS = 852;\nconst ENOUGH_DISTS = 592;\n//const ENOUGH =  (ENOUGH_LENS+ENOUGH_DISTS);\n\nconst MAX_WBITS = 15;\n/* 32K LZ77 window */\nconst DEF_WBITS = MAX_WBITS;\n\n\nconst zswap32 = (q) => {\n\n  return  (((q >>> 24) & 0xff) +\n          ((q >>> 8) & 0xff00) +\n          ((q & 0xff00) << 8) +\n          ((q & 0xff) << 24));\n};\n\n\nfunction InflateState() {\n  this.strm = null;           /* pointer back to this zlib stream */\n  this.mode = 0;              /* current inflate mode */\n  this.last = false;          /* true if processing last block */\n  this.wrap = 0;              /* bit 0 true for zlib, bit 1 true for gzip,\n                                 bit 2 true to validate check value */\n  this.havedict = false;      /* true if dictionary provided */\n  this.flags = 0;             /* gzip header method and flags (0 if zlib), or\n                                 -1 if raw or no header yet */\n  this.dmax = 0;              /* zlib header max distance (INFLATE_STRICT) */\n  this.check = 0;             /* protected copy of check value */\n  this.total = 0;             /* protected copy of output count */\n  // TODO: may be {}\n  this.head = null;           /* where to save gzip header information */\n\n  /* sliding window */\n  this.wbits = 0;             /* log base 2 of requested window size */\n  this.wsize = 0;             /* window size or zero if not using window */\n  this.whave = 0;             /* valid bytes in the window */\n  this.wnext = 0;             /* window write index */\n  this.window = null;         /* allocated sliding window, if needed */\n\n  /* bit accumulator */\n  this.hold = 0;              /* input bit accumulator */\n  this.bits = 0;              /* number of bits in \"in\" */\n\n  /* for string and stored block copying */\n  this.length = 0;            /* literal or length of data to copy */\n  this.offset = 0;            /* distance back to copy string from */\n\n  /* for table and code decoding */\n  this.extra = 0;             /* extra bits needed */\n\n  /* fixed and dynamic code tables */\n  this.lencode = null;          /* starting table for length/literal codes */\n  this.distcode = null;         /* starting table for distance codes */\n  this.lenbits = 0;           /* index bits for lencode */\n  this.distbits = 0;          /* index bits for distcode */\n\n  /* dynamic table building */\n  this.ncode = 0;             /* number of code length code lengths */\n  this.nlen = 0;              /* number of length code lengths */\n  this.ndist = 0;             /* number of distance code lengths */\n  this.have = 0;              /* number of code lengths in lens[] */\n  this.next = null;              /* next available space in codes[] */\n\n  this.lens = new Uint16Array(320); /* temporary storage for code lengths */\n  this.work = new Uint16Array(288); /* work area for code table building */\n\n  /*\n   because we don't have pointers in js, we use lencode and distcode directly\n   as buffers so we don't need codes\n  */\n  //this.codes = new Int32Array(ENOUGH);       /* space for code tables */\n  this.lendyn = null;              /* dynamic table for length/literal codes (JS specific) */\n  this.distdyn = null;             /* dynamic table for distance codes (JS specific) */\n  this.sane = 0;                   /* if false, allow invalid distance too far */\n  this.back = 0;                   /* bits back of last unprocessed length/lit */\n  this.was = 0;                    /* initial length of match */\n}\n\n\nconst inflateStateCheck = (strm) => {\n\n  if (!strm) {\n    return 1;\n  }\n  const state = strm.state;\n  if (!state || state.strm !== strm ||\n    state.mode < HEAD || state.mode > SYNC) {\n    return 1;\n  }\n  return 0;\n};\n\n\nconst inflateResetKeep = (strm) => {\n\n  if (inflateStateCheck(strm)) { return Z_STREAM_ERROR$1; }\n  const state = strm.state;\n  strm.total_in = strm.total_out = state.total = 0;\n  strm.msg = ''; /*Z_NULL*/\n  if (state.wrap) {       /* to support ill-conceived Java test suite */\n    strm.adler = state.wrap & 1;\n  }\n  state.mode = HEAD;\n  state.last = 0;\n  state.havedict = 0;\n  state.flags = -1;\n  state.dmax = 32768;\n  state.head = null/*Z_NULL*/;\n  state.hold = 0;\n  state.bits = 0;\n  //state.lencode = state.distcode = state.next = state.codes;\n  state.lencode = state.lendyn = new Int32Array(ENOUGH_LENS);\n  state.distcode = state.distdyn = new Int32Array(ENOUGH_DISTS);\n\n  state.sane = 1;\n  state.back = -1;\n  //Tracev((stderr, \"inflate: reset\\n\"));\n  return Z_OK$1;\n};\n\n\nconst inflateReset = (strm) => {\n\n  if (inflateStateCheck(strm)) { return Z_STREAM_ERROR$1; }\n  const state = strm.state;\n  state.wsize = 0;\n  state.whave = 0;\n  state.wnext = 0;\n  return inflateResetKeep(strm);\n\n};\n\n\nconst inflateReset2 = (strm, windowBits) => {\n  let wrap;\n\n  /* get the state */\n  if (inflateStateCheck(strm)) { return Z_STREAM_ERROR$1; }\n  const state = strm.state;\n\n  /* extract wrap request from windowBits parameter */\n  if (windowBits < 0) {\n    wrap = 0;\n    windowBits = -windowBits;\n  }\n  else {\n    wrap = (windowBits >> 4) + 5;\n    if (windowBits < 48) {\n      windowBits &= 15;\n    }\n  }\n\n  /* set number of window bits, free window if different */\n  if (windowBits && (windowBits < 8 || windowBits > 15)) {\n    return Z_STREAM_ERROR$1;\n  }\n  if (state.window !== null && state.wbits !== windowBits) {\n    state.window = null;\n  }\n\n  /* update state and reset the rest of it */\n  state.wrap = wrap;\n  state.wbits = windowBits;\n  return inflateReset(strm);\n};\n\n\nconst inflateInit2 = (strm, windowBits) => {\n\n  if (!strm) { return Z_STREAM_ERROR$1; }\n  //strm.msg = Z_NULL;                 /* in case we return an error */\n\n  const state = new InflateState();\n\n  //if (state === Z_NULL) return Z_MEM_ERROR;\n  //Tracev((stderr, \"inflate: allocated\\n\"));\n  strm.state = state;\n  state.strm = strm;\n  state.window = null/*Z_NULL*/;\n  state.mode = HEAD;     /* to pass state test in inflateReset2() */\n  const ret = inflateReset2(strm, windowBits);\n  if (ret !== Z_OK$1) {\n    strm.state = null/*Z_NULL*/;\n  }\n  return ret;\n};\n\n\nconst inflateInit = (strm) => {\n\n  return inflateInit2(strm, DEF_WBITS);\n};\n\n\n/*\n Return state with length and distance decoding tables and index sizes set to\n fixed code decoding.  Normally this returns fixed tables from inffixed.h.\n If BUILDFIXED is defined, then instead this routine builds the tables the\n first time it's called, and returns those tables the first time and\n thereafter.  This reduces the size of the code by about 2K bytes, in\n exchange for a little execution time.  However, BUILDFIXED should not be\n used for threaded applications, since the rewriting of the tables and virgin\n may not be thread-safe.\n */\nlet virgin = true;\n\nlet lenfix, distfix; // We have no pointers in JS, so keep tables separate\n\n\nconst fixedtables = (state) => {\n\n  /* build fixed huffman tables if first call (may not be thread safe) */\n  if (virgin) {\n    lenfix = new Int32Array(512);\n    distfix = new Int32Array(32);\n\n    /* literal/length table */\n    let sym = 0;\n    while (sym < 144) { state.lens[sym++] = 8; }\n    while (sym < 256) { state.lens[sym++] = 9; }\n    while (sym < 280) { state.lens[sym++] = 7; }\n    while (sym < 288) { state.lens[sym++] = 8; }\n\n    inftrees(LENS,  state.lens, 0, 288, lenfix,   0, state.work, { bits: 9 });\n\n    /* distance table */\n    sym = 0;\n    while (sym < 32) { state.lens[sym++] = 5; }\n\n    inftrees(DISTS, state.lens, 0, 32,   distfix, 0, state.work, { bits: 5 });\n\n    /* do this just once */\n    virgin = false;\n  }\n\n  state.lencode = lenfix;\n  state.lenbits = 9;\n  state.distcode = distfix;\n  state.distbits = 5;\n};\n\n\n/*\n Update the window with the last wsize (normally 32K) bytes written before\n returning.  If window does not exist yet, create it.  This is only called\n when a window is already in use, or when output has been written during this\n inflate call, but the end of the deflate stream has not been reached yet.\n It is also called to create a window for dictionary data when a dictionary\n is loaded.\n\n Providing output buffers larger than 32K to inflate() should provide a speed\n advantage, since only the last 32K of output is copied to the sliding window\n upon return from inflate(), and since all distances after the first 32K of\n output will fall in the output data, making match copies simpler and faster.\n The advantage may be dependent on the size of the processor's data caches.\n */\nconst updatewindow = (strm, src, end, copy) => {\n\n  let dist;\n  const state = strm.state;\n\n  /* if it hasn't been done already, allocate space for the window */\n  if (state.window === null) {\n    state.wsize = 1 << state.wbits;\n    state.wnext = 0;\n    state.whave = 0;\n\n    state.window = new Uint8Array(state.wsize);\n  }\n\n  /* copy state->wsize or less output bytes into the circular window */\n  if (copy >= state.wsize) {\n    state.window.set(src.subarray(end - state.wsize, end), 0);\n    state.wnext = 0;\n    state.whave = state.wsize;\n  }\n  else {\n    dist = state.wsize - state.wnext;\n    if (dist > copy) {\n      dist = copy;\n    }\n    //zmemcpy(state->window + state->wnext, end - copy, dist);\n    state.window.set(src.subarray(end - copy, end - copy + dist), state.wnext);\n    copy -= dist;\n    if (copy) {\n      //zmemcpy(state->window, end - copy, copy);\n      state.window.set(src.subarray(end - copy, end), 0);\n      state.wnext = copy;\n      state.whave = state.wsize;\n    }\n    else {\n      state.wnext += dist;\n      if (state.wnext === state.wsize) { state.wnext = 0; }\n      if (state.whave < state.wsize) { state.whave += dist; }\n    }\n  }\n  return 0;\n};\n\n\nconst inflate$2 = (strm, flush) => {\n\n  let state;\n  let input, output;          // input/output buffers\n  let next;                   /* next input INDEX */\n  let put;                    /* next output INDEX */\n  let have, left;             /* available input and output */\n  let hold;                   /* bit buffer */\n  let bits;                   /* bits in bit buffer */\n  let _in, _out;              /* save starting available input and output */\n  let copy;                   /* number of stored or match bytes to copy */\n  let from;                   /* where to copy match bytes from */\n  let from_source;\n  let here = 0;               /* current decoding table entry */\n  let here_bits, here_op, here_val; // paked \"here\" denormalized (JS specific)\n  //let last;                   /* parent table entry */\n  let last_bits, last_op, last_val; // paked \"last\" denormalized (JS specific)\n  let len;                    /* length to copy for repeats, bits to drop */\n  let ret;                    /* return code */\n  const hbuf = new Uint8Array(4);    /* buffer for gzip header crc calculation */\n  let opts;\n\n  let n; // temporary variable for NEED_BITS\n\n  const order = /* permutation of code lengths */\n    new Uint8Array([ 16, 17, 18, 0, 8, 7, 9, 6, 10, 5, 11, 4, 12, 3, 13, 2, 14, 1, 15 ]);\n\n\n  if (inflateStateCheck(strm) || !strm.output ||\n      (!strm.input && strm.avail_in !== 0)) {\n    return Z_STREAM_ERROR$1;\n  }\n\n  state = strm.state;\n  if (state.mode === TYPE) { state.mode = TYPEDO; }    /* skip check */\n\n\n  //--- LOAD() ---\n  put = strm.next_out;\n  output = strm.output;\n  left = strm.avail_out;\n  next = strm.next_in;\n  input = strm.input;\n  have = strm.avail_in;\n  hold = state.hold;\n  bits = state.bits;\n  //---\n\n  _in = have;\n  _out = left;\n  ret = Z_OK$1;\n\n  inf_leave: // goto emulation\n  for (;;) {\n    switch (state.mode) {\n      case HEAD:\n        if (state.wrap === 0) {\n          state.mode = TYPEDO;\n          break;\n        }\n        //=== NEEDBITS(16);\n        while (bits < 16) {\n          if (have === 0) { break inf_leave; }\n          have--;\n          hold += input[next++] << bits;\n          bits += 8;\n        }\n        //===//\n        if ((state.wrap & 2) && hold === 0x8b1f) {  /* gzip header */\n          if (state.wbits === 0) {\n            state.wbits = 15;\n          }\n          state.check = 0/*crc32(0L, Z_NULL, 0)*/;\n          //=== CRC2(state.check, hold);\n          hbuf[0] = hold & 0xff;\n          hbuf[1] = (hold >>> 8) & 0xff;\n          state.check = crc32_1(state.check, hbuf, 2, 0);\n          //===//\n\n          //=== INITBITS();\n          hold = 0;\n          bits = 0;\n          //===//\n          state.mode = FLAGS;\n          break;\n        }\n        if (state.head) {\n          state.head.done = false;\n        }\n        if (!(state.wrap & 1) ||   /* check if zlib header allowed */\n          (((hold & 0xff)/*BITS(8)*/ << 8) + (hold >> 8)) % 31) {\n          strm.msg = 'incorrect header check';\n          state.mode = BAD;\n          break;\n        }\n        if ((hold & 0x0f)/*BITS(4)*/ !== Z_DEFLATED) {\n          strm.msg = 'unknown compression method';\n          state.mode = BAD;\n          break;\n        }\n        //--- DROPBITS(4) ---//\n        hold >>>= 4;\n        bits -= 4;\n        //---//\n        len = (hold & 0x0f)/*BITS(4)*/ + 8;\n        if (state.wbits === 0) {\n          state.wbits = len;\n        }\n        if (len > 15 || len > state.wbits) {\n          strm.msg = 'invalid window size';\n          state.mode = BAD;\n          break;\n        }\n\n        // !!! pako patch. Force use `options.windowBits` if passed.\n        // Required to always use max window size by default.\n        state.dmax = 1 << state.wbits;\n        //state.dmax = 1 << len;\n\n        state.flags = 0;               /* indicate zlib header */\n        //Tracev((stderr, \"inflate:   zlib header ok\\n\"));\n        strm.adler = state.check = 1/*adler32(0L, Z_NULL, 0)*/;\n        state.mode = hold & 0x200 ? DICTID : TYPE;\n        //=== INITBITS();\n        hold = 0;\n        bits = 0;\n        //===//\n        break;\n      case FLAGS:\n        //=== NEEDBITS(16); */\n        while (bits < 16) {\n          if (have === 0) { break inf_leave; }\n          have--;\n          hold += input[next++] << bits;\n          bits += 8;\n        }\n        //===//\n        state.flags = hold;\n        if ((state.flags & 0xff) !== Z_DEFLATED) {\n          strm.msg = 'unknown compression method';\n          state.mode = BAD;\n          break;\n        }\n        if (state.flags & 0xe000) {\n          strm.msg = 'unknown header flags set';\n          state.mode = BAD;\n          break;\n        }\n        if (state.head) {\n          state.head.text = ((hold >> 8) & 1);\n        }\n        if ((state.flags & 0x0200) && (state.wrap & 4)) {\n          //=== CRC2(state.check, hold);\n          hbuf[0] = hold & 0xff;\n          hbuf[1] = (hold >>> 8) & 0xff;\n          state.check = crc32_1(state.check, hbuf, 2, 0);\n          //===//\n        }\n        //=== INITBITS();\n        hold = 0;\n        bits = 0;\n        //===//\n        state.mode = TIME;\n        /* falls through */\n      case TIME:\n        //=== NEEDBITS(32); */\n        while (bits < 32) {\n          if (have === 0) { break inf_leave; }\n          have--;\n          hold += input[next++] << bits;\n          bits += 8;\n        }\n        //===//\n        if (state.head) {\n          state.head.time = hold;\n        }\n        if ((state.flags & 0x0200) && (state.wrap & 4)) {\n          //=== CRC4(state.check, hold)\n          hbuf[0] = hold & 0xff;\n          hbuf[1] = (hold >>> 8) & 0xff;\n          hbuf[2] = (hold >>> 16) & 0xff;\n          hbuf[3] = (hold >>> 24) & 0xff;\n          state.check = crc32_1(state.check, hbuf, 4, 0);\n          //===\n        }\n        //=== INITBITS();\n        hold = 0;\n        bits = 0;\n        //===//\n        state.mode = OS;\n        /* falls through */\n      case OS:\n        //=== NEEDBITS(16); */\n        while (bits < 16) {\n          if (have === 0) { break inf_leave; }\n          have--;\n          hold += input[next++] << bits;\n          bits += 8;\n        }\n        //===//\n        if (state.head) {\n          state.head.xflags = (hold & 0xff);\n          state.head.os = (hold >> 8);\n        }\n        if ((state.flags & 0x0200) && (state.wrap & 4)) {\n          //=== CRC2(state.check, hold);\n          hbuf[0] = hold & 0xff;\n          hbuf[1] = (hold >>> 8) & 0xff;\n          state.check = crc32_1(state.check, hbuf, 2, 0);\n          //===//\n        }\n        //=== INITBITS();\n        hold = 0;\n        bits = 0;\n        //===//\n        state.mode = EXLEN;\n        /* falls through */\n      case EXLEN:\n        if (state.flags & 0x0400) {\n          //=== NEEDBITS(16); */\n          while (bits < 16) {\n            if (have === 0) { break inf_leave; }\n            have--;\n            hold += input[next++] << bits;\n            bits += 8;\n          }\n          //===//\n          state.length = hold;\n          if (state.head) {\n            state.head.extra_len = hold;\n          }\n          if ((state.flags & 0x0200) && (state.wrap & 4)) {\n            //=== CRC2(state.check, hold);\n            hbuf[0] = hold & 0xff;\n            hbuf[1] = (hold >>> 8) & 0xff;\n            state.check = crc32_1(state.check, hbuf, 2, 0);\n            //===//\n          }\n          //=== INITBITS();\n          hold = 0;\n          bits = 0;\n          //===//\n        }\n        else if (state.head) {\n          state.head.extra = null/*Z_NULL*/;\n        }\n        state.mode = EXTRA;\n        /* falls through */\n      case EXTRA:\n        if (state.flags & 0x0400) {\n          copy = state.length;\n          if (copy > have) { copy = have; }\n          if (copy) {\n            if (state.head) {\n              len = state.head.extra_len - state.length;\n              if (!state.head.extra) {\n                // Use untyped array for more convenient processing later\n                state.head.extra = new Uint8Array(state.head.extra_len);\n              }\n              state.head.extra.set(\n                input.subarray(\n                  next,\n                  // extra field is limited to 65536 bytes\n                  // - no need for additional size check\n                  next + copy\n                ),\n                /*len + copy > state.head.extra_max - len ? state.head.extra_max : copy,*/\n                len\n              );\n              //zmemcpy(state.head.extra + len, next,\n              //        len + copy > state.head.extra_max ?\n              //        state.head.extra_max - len : copy);\n            }\n            if ((state.flags & 0x0200) && (state.wrap & 4)) {\n              state.check = crc32_1(state.check, input, copy, next);\n            }\n            have -= copy;\n            next += copy;\n            state.length -= copy;\n          }\n          if (state.length) { break inf_leave; }\n        }\n        state.length = 0;\n        state.mode = NAME;\n        /* falls through */\n      case NAME:\n        if (state.flags & 0x0800) {\n          if (have === 0) { break inf_leave; }\n          copy = 0;\n          do {\n            // TODO: 2 or 1 bytes?\n            len = input[next + copy++];\n            /* use constant limit because in js we should not preallocate memory */\n            if (state.head && len &&\n                (state.length < 65536 /*state.head.name_max*/)) {\n              state.head.name += String.fromCharCode(len);\n            }\n          } while (len && copy < have);\n\n          if ((state.flags & 0x0200) && (state.wrap & 4)) {\n            state.check = crc32_1(state.check, input, copy, next);\n          }\n          have -= copy;\n          next += copy;\n          if (len) { break inf_leave; }\n        }\n        else if (state.head) {\n          state.head.name = null;\n        }\n        state.length = 0;\n        state.mode = COMMENT;\n        /* falls through */\n      case COMMENT:\n        if (state.flags & 0x1000) {\n          if (have === 0) { break inf_leave; }\n          copy = 0;\n          do {\n            len = input[next + copy++];\n            /* use constant limit because in js we should not preallocate memory */\n            if (state.head && len &&\n                (state.length < 65536 /*state.head.comm_max*/)) {\n              state.head.comment += String.fromCharCode(len);\n            }\n          } while (len && copy < have);\n          if ((state.flags & 0x0200) && (state.wrap & 4)) {\n            state.check = crc32_1(state.check, input, copy, next);\n          }\n          have -= copy;\n          next += copy;\n          if (len) { break inf_leave; }\n        }\n        else if (state.head) {\n          state.head.comment = null;\n        }\n        state.mode = HCRC;\n        /* falls through */\n      case HCRC:\n        if (state.flags & 0x0200) {\n          //=== NEEDBITS(16); */\n          while (bits < 16) {\n            if (have === 0) { break inf_leave; }\n            have--;\n            hold += input[next++] << bits;\n            bits += 8;\n          }\n          //===//\n          if ((state.wrap & 4) && hold !== (state.check & 0xffff)) {\n            strm.msg = 'header crc mismatch';\n            state.mode = BAD;\n            break;\n          }\n          //=== INITBITS();\n          hold = 0;\n          bits = 0;\n          //===//\n        }\n        if (state.head) {\n          state.head.hcrc = ((state.flags >> 9) & 1);\n          state.head.done = true;\n        }\n        strm.adler = state.check = 0;\n        state.mode = TYPE;\n        break;\n      case DICTID:\n        //=== NEEDBITS(32); */\n        while (bits < 32) {\n          if (have === 0) { break inf_leave; }\n          have--;\n          hold += input[next++] << bits;\n          bits += 8;\n        }\n        //===//\n        strm.adler = state.check = zswap32(hold);\n        //=== INITBITS();\n        hold = 0;\n        bits = 0;\n        //===//\n        state.mode = DICT;\n        /* falls through */\n      case DICT:\n        if (state.havedict === 0) {\n          //--- RESTORE() ---\n          strm.next_out = put;\n          strm.avail_out = left;\n          strm.next_in = next;\n          strm.avail_in = have;\n          state.hold = hold;\n          state.bits = bits;\n          //---\n          return Z_NEED_DICT$1;\n        }\n        strm.adler = state.check = 1/*adler32(0L, Z_NULL, 0)*/;\n        state.mode = TYPE;\n        /* falls through */\n      case TYPE:\n        if (flush === Z_BLOCK || flush === Z_TREES) { break inf_leave; }\n        /* falls through */\n      case TYPEDO:\n        if (state.last) {\n          //--- BYTEBITS() ---//\n          hold >>>= bits & 7;\n          bits -= bits & 7;\n          //---//\n          state.mode = CHECK;\n          break;\n        }\n        //=== NEEDBITS(3); */\n        while (bits < 3) {\n          if (have === 0) { break inf_leave; }\n          have--;\n          hold += input[next++] << bits;\n          bits += 8;\n        }\n        //===//\n        state.last = (hold & 0x01)/*BITS(1)*/;\n        //--- DROPBITS(1) ---//\n        hold >>>= 1;\n        bits -= 1;\n        //---//\n\n        switch ((hold & 0x03)/*BITS(2)*/) {\n          case 0:                             /* stored block */\n            //Tracev((stderr, \"inflate:     stored block%s\\n\",\n            //        state.last ? \" (last)\" : \"\"));\n            state.mode = STORED;\n            break;\n          case 1:                             /* fixed block */\n            fixedtables(state);\n            //Tracev((stderr, \"inflate:     fixed codes block%s\\n\",\n            //        state.last ? \" (last)\" : \"\"));\n            state.mode = LEN_;             /* decode codes */\n            if (flush === Z_TREES) {\n              //--- DROPBITS(2) ---//\n              hold >>>= 2;\n              bits -= 2;\n              //---//\n              break inf_leave;\n            }\n            break;\n          case 2:                             /* dynamic block */\n            //Tracev((stderr, \"inflate:     dynamic codes block%s\\n\",\n            //        state.last ? \" (last)\" : \"\"));\n            state.mode = TABLE;\n            break;\n          case 3:\n            strm.msg = 'invalid block type';\n            state.mode = BAD;\n        }\n        //--- DROPBITS(2) ---//\n        hold >>>= 2;\n        bits -= 2;\n        //---//\n        break;\n      case STORED:\n        //--- BYTEBITS() ---// /* go to byte boundary */\n        hold >>>= bits & 7;\n        bits -= bits & 7;\n        //---//\n        //=== NEEDBITS(32); */\n        while (bits < 32) {\n          if (have === 0) { break inf_leave; }\n          have--;\n          hold += input[next++] << bits;\n          bits += 8;\n        }\n        //===//\n        if ((hold & 0xffff) !== ((hold >>> 16) ^ 0xffff)) {\n          strm.msg = 'invalid stored block lengths';\n          state.mode = BAD;\n          break;\n        }\n        state.length = hold & 0xffff;\n        //Tracev((stderr, \"inflate:       stored length %u\\n\",\n        //        state.length));\n        //=== INITBITS();\n        hold = 0;\n        bits = 0;\n        //===//\n        state.mode = COPY_;\n        if (flush === Z_TREES) { break inf_leave; }\n        /* falls through */\n      case COPY_:\n        state.mode = COPY;\n        /* falls through */\n      case COPY:\n        copy = state.length;\n        if (copy) {\n          if (copy > have) { copy = have; }\n          if (copy > left) { copy = left; }\n          if (copy === 0) { break inf_leave; }\n          //--- zmemcpy(put, next, copy); ---\n          output.set(input.subarray(next, next + copy), put);\n          //---//\n          have -= copy;\n          next += copy;\n          left -= copy;\n          put += copy;\n          state.length -= copy;\n          break;\n        }\n        //Tracev((stderr, \"inflate:       stored end\\n\"));\n        state.mode = TYPE;\n        break;\n      case TABLE:\n        //=== NEEDBITS(14); */\n        while (bits < 14) {\n          if (have === 0) { break inf_leave; }\n          have--;\n          hold += input[next++] << bits;\n          bits += 8;\n        }\n        //===//\n        state.nlen = (hold & 0x1f)/*BITS(5)*/ + 257;\n        //--- DROPBITS(5) ---//\n        hold >>>= 5;\n        bits -= 5;\n        //---//\n        state.ndist = (hold & 0x1f)/*BITS(5)*/ + 1;\n        //--- DROPBITS(5) ---//\n        hold >>>= 5;\n        bits -= 5;\n        //---//\n        state.ncode = (hold & 0x0f)/*BITS(4)*/ + 4;\n        //--- DROPBITS(4) ---//\n        hold >>>= 4;\n        bits -= 4;\n        //---//\n//#ifndef PKZIP_BUG_WORKAROUND\n        if (state.nlen > 286 || state.ndist > 30) {\n          strm.msg = 'too many length or distance symbols';\n          state.mode = BAD;\n          break;\n        }\n//#endif\n        //Tracev((stderr, \"inflate:       table sizes ok\\n\"));\n        state.have = 0;\n        state.mode = LENLENS;\n        /* falls through */\n      case LENLENS:\n        while (state.have < state.ncode) {\n          //=== NEEDBITS(3);\n          while (bits < 3) {\n            if (have === 0) { break inf_leave; }\n            have--;\n            hold += input[next++] << bits;\n            bits += 8;\n          }\n          //===//\n          state.lens[order[state.have++]] = (hold & 0x07);//BITS(3);\n          //--- DROPBITS(3) ---//\n          hold >>>= 3;\n          bits -= 3;\n          //---//\n        }\n        while (state.have < 19) {\n          state.lens[order[state.have++]] = 0;\n        }\n        // We have separate tables & no pointers. 2 commented lines below not needed.\n        //state.next = state.codes;\n        //state.lencode = state.next;\n        // Switch to use dynamic table\n        state.lencode = state.lendyn;\n        state.lenbits = 7;\n\n        opts = { bits: state.lenbits };\n        ret = inftrees(CODES, state.lens, 0, 19, state.lencode, 0, state.work, opts);\n        state.lenbits = opts.bits;\n\n        if (ret) {\n          strm.msg = 'invalid code lengths set';\n          state.mode = BAD;\n          break;\n        }\n        //Tracev((stderr, \"inflate:       code lengths ok\\n\"));\n        state.have = 0;\n        state.mode = CODELENS;\n        /* falls through */\n      case CODELENS:\n        while (state.have < state.nlen + state.ndist) {\n          for (;;) {\n            here = state.lencode[hold & ((1 << state.lenbits) - 1)];/*BITS(state.lenbits)*/\n            here_bits = here >>> 24;\n            here_op = (here >>> 16) & 0xff;\n            here_val = here & 0xffff;\n\n            if ((here_bits) <= bits) { break; }\n            //--- PULLBYTE() ---//\n            if (have === 0) { break inf_leave; }\n            have--;\n            hold += input[next++] << bits;\n            bits += 8;\n            //---//\n          }\n          if (here_val < 16) {\n            //--- DROPBITS(here.bits) ---//\n            hold >>>= here_bits;\n            bits -= here_bits;\n            //---//\n            state.lens[state.have++] = here_val;\n          }\n          else {\n            if (here_val === 16) {\n              //=== NEEDBITS(here.bits + 2);\n              n = here_bits + 2;\n              while (bits < n) {\n                if (have === 0) { break inf_leave; }\n                have--;\n                hold += input[next++] << bits;\n                bits += 8;\n              }\n              //===//\n              //--- DROPBITS(here.bits) ---//\n              hold >>>= here_bits;\n              bits -= here_bits;\n              //---//\n              if (state.have === 0) {\n                strm.msg = 'invalid bit length repeat';\n                state.mode = BAD;\n                break;\n              }\n              len = state.lens[state.have - 1];\n              copy = 3 + (hold & 0x03);//BITS(2);\n              //--- DROPBITS(2) ---//\n              hold >>>= 2;\n              bits -= 2;\n              //---//\n            }\n            else if (here_val === 17) {\n              //=== NEEDBITS(here.bits + 3);\n              n = here_bits + 3;\n              while (bits < n) {\n                if (have === 0) { break inf_leave; }\n                have--;\n                hold += input[next++] << bits;\n                bits += 8;\n              }\n              //===//\n              //--- DROPBITS(here.bits) ---//\n              hold >>>= here_bits;\n              bits -= here_bits;\n              //---//\n              len = 0;\n              copy = 3 + (hold & 0x07);//BITS(3);\n              //--- DROPBITS(3) ---//\n              hold >>>= 3;\n              bits -= 3;\n              //---//\n            }\n            else {\n              //=== NEEDBITS(here.bits + 7);\n              n = here_bits + 7;\n              while (bits < n) {\n                if (have === 0) { break inf_leave; }\n                have--;\n                hold += input[next++] << bits;\n                bits += 8;\n              }\n              //===//\n              //--- DROPBITS(here.bits) ---//\n              hold >>>= here_bits;\n              bits -= here_bits;\n              //---//\n              len = 0;\n              copy = 11 + (hold & 0x7f);//BITS(7);\n              //--- DROPBITS(7) ---//\n              hold >>>= 7;\n              bits -= 7;\n              //---//\n            }\n            if (state.have + copy > state.nlen + state.ndist) {\n              strm.msg = 'invalid bit length repeat';\n              state.mode = BAD;\n              break;\n            }\n            while (copy--) {\n              state.lens[state.have++] = len;\n            }\n          }\n        }\n\n        /* handle error breaks in while */\n        if (state.mode === BAD) { break; }\n\n        /* check for end-of-block code (better have one) */\n        if (state.lens[256] === 0) {\n          strm.msg = 'invalid code -- missing end-of-block';\n          state.mode = BAD;\n          break;\n        }\n\n        /* build code tables -- note: do not change the lenbits or distbits\n           values here (9 and 6) without reading the comments in inftrees.h\n           concerning the ENOUGH constants, which depend on those values */\n        state.lenbits = 9;\n\n        opts = { bits: state.lenbits };\n        ret = inftrees(LENS, state.lens, 0, state.nlen, state.lencode, 0, state.work, opts);\n        // We have separate tables & no pointers. 2 commented lines below not needed.\n        // state.next_index = opts.table_index;\n        state.lenbits = opts.bits;\n        // state.lencode = state.next;\n\n        if (ret) {\n          strm.msg = 'invalid literal/lengths set';\n          state.mode = BAD;\n          break;\n        }\n\n        state.distbits = 6;\n        //state.distcode.copy(state.codes);\n        // Switch to use dynamic table\n        state.distcode = state.distdyn;\n        opts = { bits: state.distbits };\n        ret = inftrees(DISTS, state.lens, state.nlen, state.ndist, state.distcode, 0, state.work, opts);\n        // We have separate tables & no pointers. 2 commented lines below not needed.\n        // state.next_index = opts.table_index;\n        state.distbits = opts.bits;\n        // state.distcode = state.next;\n\n        if (ret) {\n          strm.msg = 'invalid distances set';\n          state.mode = BAD;\n          break;\n        }\n        //Tracev((stderr, 'inflate:       codes ok\\n'));\n        state.mode = LEN_;\n        if (flush === Z_TREES) { break inf_leave; }\n        /* falls through */\n      case LEN_:\n        state.mode = LEN;\n        /* falls through */\n      case LEN:\n        if (have >= 6 && left >= 258) {\n          //--- RESTORE() ---\n          strm.next_out = put;\n          strm.avail_out = left;\n          strm.next_in = next;\n          strm.avail_in = have;\n          state.hold = hold;\n          state.bits = bits;\n          //---\n          inffast(strm, _out);\n          //--- LOAD() ---\n          put = strm.next_out;\n          output = strm.output;\n          left = strm.avail_out;\n          next = strm.next_in;\n          input = strm.input;\n          have = strm.avail_in;\n          hold = state.hold;\n          bits = state.bits;\n          //---\n\n          if (state.mode === TYPE) {\n            state.back = -1;\n          }\n          break;\n        }\n        state.back = 0;\n        for (;;) {\n          here = state.lencode[hold & ((1 << state.lenbits) - 1)];  /*BITS(state.lenbits)*/\n          here_bits = here >>> 24;\n          here_op = (here >>> 16) & 0xff;\n          here_val = here & 0xffff;\n\n          if (here_bits <= bits) { break; }\n          //--- PULLBYTE() ---//\n          if (have === 0) { break inf_leave; }\n          have--;\n          hold += input[next++] << bits;\n          bits += 8;\n          //---//\n        }\n        if (here_op && (here_op & 0xf0) === 0) {\n          last_bits = here_bits;\n          last_op = here_op;\n          last_val = here_val;\n          for (;;) {\n            here = state.lencode[last_val +\n                    ((hold & ((1 << (last_bits + last_op)) - 1))/*BITS(last.bits + last.op)*/ >> last_bits)];\n            here_bits = here >>> 24;\n            here_op = (here >>> 16) & 0xff;\n            here_val = here & 0xffff;\n\n            if ((last_bits + here_bits) <= bits) { break; }\n            //--- PULLBYTE() ---//\n            if (have === 0) { break inf_leave; }\n            have--;\n            hold += input[next++] << bits;\n            bits += 8;\n            //---//\n          }\n          //--- DROPBITS(last.bits) ---//\n          hold >>>= last_bits;\n          bits -= last_bits;\n          //---//\n          state.back += last_bits;\n        }\n        //--- DROPBITS(here.bits) ---//\n        hold >>>= here_bits;\n        bits -= here_bits;\n        //---//\n        state.back += here_bits;\n        state.length = here_val;\n        if (here_op === 0) {\n          //Tracevv((stderr, here.val >= 0x20 && here.val < 0x7f ?\n          //        \"inflate:         literal '%c'\\n\" :\n          //        \"inflate:         literal 0x%02x\\n\", here.val));\n          state.mode = LIT;\n          break;\n        }\n        if (here_op & 32) {\n          //Tracevv((stderr, \"inflate:         end of block\\n\"));\n          state.back = -1;\n          state.mode = TYPE;\n          break;\n        }\n        if (here_op & 64) {\n          strm.msg = 'invalid literal/length code';\n          state.mode = BAD;\n          break;\n        }\n        state.extra = here_op & 15;\n        state.mode = LENEXT;\n        /* falls through */\n      case LENEXT:\n        if (state.extra) {\n          //=== NEEDBITS(state.extra);\n          n = state.extra;\n          while (bits < n) {\n            if (have === 0) { break inf_leave; }\n            have--;\n            hold += input[next++] << bits;\n            bits += 8;\n          }\n          //===//\n          state.length += hold & ((1 << state.extra) - 1)/*BITS(state.extra)*/;\n          //--- DROPBITS(state.extra) ---//\n          hold >>>= state.extra;\n          bits -= state.extra;\n          //---//\n          state.back += state.extra;\n        }\n        //Tracevv((stderr, \"inflate:         length %u\\n\", state.length));\n        state.was = state.length;\n        state.mode = DIST;\n        /* falls through */\n      case DIST:\n        for (;;) {\n          here = state.distcode[hold & ((1 << state.distbits) - 1)];/*BITS(state.distbits)*/\n          here_bits = here >>> 24;\n          here_op = (here >>> 16) & 0xff;\n          here_val = here & 0xffff;\n\n          if ((here_bits) <= bits) { break; }\n          //--- PULLBYTE() ---//\n          if (have === 0) { break inf_leave; }\n          have--;\n          hold += input[next++] << bits;\n          bits += 8;\n          //---//\n        }\n        if ((here_op & 0xf0) === 0) {\n          last_bits = here_bits;\n          last_op = here_op;\n          last_val = here_val;\n          for (;;) {\n            here = state.distcode[last_val +\n                    ((hold & ((1 << (last_bits + last_op)) - 1))/*BITS(last.bits + last.op)*/ >> last_bits)];\n            here_bits = here >>> 24;\n            here_op = (here >>> 16) & 0xff;\n            here_val = here & 0xffff;\n\n            if ((last_bits + here_bits) <= bits) { break; }\n            //--- PULLBYTE() ---//\n            if (have === 0) { break inf_leave; }\n            have--;\n            hold += input[next++] << bits;\n            bits += 8;\n            //---//\n          }\n          //--- DROPBITS(last.bits) ---//\n          hold >>>= last_bits;\n          bits -= last_bits;\n          //---//\n          state.back += last_bits;\n        }\n        //--- DROPBITS(here.bits) ---//\n        hold >>>= here_bits;\n        bits -= here_bits;\n        //---//\n        state.back += here_bits;\n        if (here_op & 64) {\n          strm.msg = 'invalid distance code';\n          state.mode = BAD;\n          break;\n        }\n        state.offset = here_val;\n        state.extra = (here_op) & 15;\n        state.mode = DISTEXT;\n        /* falls through */\n      case DISTEXT:\n        if (state.extra) {\n          //=== NEEDBITS(state.extra);\n          n = state.extra;\n          while (bits < n) {\n            if (have === 0) { break inf_leave; }\n            have--;\n            hold += input[next++] << bits;\n            bits += 8;\n          }\n          //===//\n          state.offset += hold & ((1 << state.extra) - 1)/*BITS(state.extra)*/;\n          //--- DROPBITS(state.extra) ---//\n          hold >>>= state.extra;\n          bits -= state.extra;\n          //---//\n          state.back += state.extra;\n        }\n//#ifdef INFLATE_STRICT\n        if (state.offset > state.dmax) {\n          strm.msg = 'invalid distance too far back';\n          state.mode = BAD;\n          break;\n        }\n//#endif\n        //Tracevv((stderr, \"inflate:         distance %u\\n\", state.offset));\n        state.mode = MATCH;\n        /* falls through */\n      case MATCH:\n        if (left === 0) { break inf_leave; }\n        copy = _out - left;\n        if (state.offset > copy) {         /* copy from window */\n          copy = state.offset - copy;\n          if (copy > state.whave) {\n            if (state.sane) {\n              strm.msg = 'invalid distance too far back';\n              state.mode = BAD;\n              break;\n            }\n// (!) This block is disabled in zlib defaults,\n// don't enable it for binary compatibility\n//#ifdef INFLATE_ALLOW_INVALID_DISTANCE_TOOFAR_ARRR\n//          Trace((stderr, \"inflate.c too far\\n\"));\n//          copy -= state.whave;\n//          if (copy > state.length) { copy = state.length; }\n//          if (copy > left) { copy = left; }\n//          left -= copy;\n//          state.length -= copy;\n//          do {\n//            output[put++] = 0;\n//          } while (--copy);\n//          if (state.length === 0) { state.mode = LEN; }\n//          break;\n//#endif\n          }\n          if (copy > state.wnext) {\n            copy -= state.wnext;\n            from = state.wsize - copy;\n          }\n          else {\n            from = state.wnext - copy;\n          }\n          if (copy > state.length) { copy = state.length; }\n          from_source = state.window;\n        }\n        else {                              /* copy from output */\n          from_source = output;\n          from = put - state.offset;\n          copy = state.length;\n        }\n        if (copy > left) { copy = left; }\n        left -= copy;\n        state.length -= copy;\n        do {\n          output[put++] = from_source[from++];\n        } while (--copy);\n        if (state.length === 0) { state.mode = LEN; }\n        break;\n      case LIT:\n        if (left === 0) { break inf_leave; }\n        output[put++] = state.length;\n        left--;\n        state.mode = LEN;\n        break;\n      case CHECK:\n        if (state.wrap) {\n          //=== NEEDBITS(32);\n          while (bits < 32) {\n            if (have === 0) { break inf_leave; }\n            have--;\n            // Use '|' instead of '+' to make sure that result is signed\n            hold |= input[next++] << bits;\n            bits += 8;\n          }\n          //===//\n          _out -= left;\n          strm.total_out += _out;\n          state.total += _out;\n          if ((state.wrap & 4) && _out) {\n            strm.adler = state.check =\n                /*UPDATE_CHECK(state.check, put - _out, _out);*/\n                (state.flags ? crc32_1(state.check, output, _out, put - _out) : adler32_1(state.check, output, _out, put - _out));\n\n          }\n          _out = left;\n          // NB: crc32 stored as signed 32-bit int, zswap32 returns signed too\n          if ((state.wrap & 4) && (state.flags ? hold : zswap32(hold)) !== state.check) {\n            strm.msg = 'incorrect data check';\n            state.mode = BAD;\n            break;\n          }\n          //=== INITBITS();\n          hold = 0;\n          bits = 0;\n          //===//\n          //Tracev((stderr, \"inflate:   check matches trailer\\n\"));\n        }\n        state.mode = LENGTH;\n        /* falls through */\n      case LENGTH:\n        if (state.wrap && state.flags) {\n          //=== NEEDBITS(32);\n          while (bits < 32) {\n            if (have === 0) { break inf_leave; }\n            have--;\n            hold += input[next++] << bits;\n            bits += 8;\n          }\n          //===//\n          if ((state.wrap & 4) && hold !== (state.total & 0xffffffff)) {\n            strm.msg = 'incorrect length check';\n            state.mode = BAD;\n            break;\n          }\n          //=== INITBITS();\n          hold = 0;\n          bits = 0;\n          //===//\n          //Tracev((stderr, \"inflate:   length matches trailer\\n\"));\n        }\n        state.mode = DONE;\n        /* falls through */\n      case DONE:\n        ret = Z_STREAM_END$1;\n        break inf_leave;\n      case BAD:\n        ret = Z_DATA_ERROR$1;\n        break inf_leave;\n      case MEM:\n        return Z_MEM_ERROR$1;\n      case SYNC:\n        /* falls through */\n      default:\n        return Z_STREAM_ERROR$1;\n    }\n  }\n\n  // inf_leave <- here is real place for \"goto inf_leave\", emulated via \"break inf_leave\"\n\n  /*\n     Return from inflate(), updating the total counts and the check value.\n     If there was no progress during the inflate() call, return a buffer\n     error.  Call updatewindow() to create and/or update the window state.\n     Note: a memory error from inflate() is non-recoverable.\n   */\n\n  //--- RESTORE() ---\n  strm.next_out = put;\n  strm.avail_out = left;\n  strm.next_in = next;\n  strm.avail_in = have;\n  state.hold = hold;\n  state.bits = bits;\n  //---\n\n  if (state.wsize || (_out !== strm.avail_out && state.mode < BAD &&\n                      (state.mode < CHECK || flush !== Z_FINISH$1))) {\n    if (updatewindow(strm, strm.output, strm.next_out, _out - strm.avail_out)) ;\n  }\n  _in -= strm.avail_in;\n  _out -= strm.avail_out;\n  strm.total_in += _in;\n  strm.total_out += _out;\n  state.total += _out;\n  if ((state.wrap & 4) && _out) {\n    strm.adler = state.check = /*UPDATE_CHECK(state.check, strm.next_out - _out, _out);*/\n      (state.flags ? crc32_1(state.check, output, _out, strm.next_out - _out) : adler32_1(state.check, output, _out, strm.next_out - _out));\n  }\n  strm.data_type = state.bits + (state.last ? 64 : 0) +\n                    (state.mode === TYPE ? 128 : 0) +\n                    (state.mode === LEN_ || state.mode === COPY_ ? 256 : 0);\n  if (((_in === 0 && _out === 0) || flush === Z_FINISH$1) && ret === Z_OK$1) {\n    ret = Z_BUF_ERROR;\n  }\n  return ret;\n};\n\n\nconst inflateEnd = (strm) => {\n\n  if (inflateStateCheck(strm)) {\n    return Z_STREAM_ERROR$1;\n  }\n\n  let state = strm.state;\n  if (state.window) {\n    state.window = null;\n  }\n  strm.state = null;\n  return Z_OK$1;\n};\n\n\nconst inflateGetHeader = (strm, head) => {\n\n  /* check state */\n  if (inflateStateCheck(strm)) { return Z_STREAM_ERROR$1; }\n  const state = strm.state;\n  if ((state.wrap & 2) === 0) { return Z_STREAM_ERROR$1; }\n\n  /* save header structure */\n  state.head = head;\n  head.done = false;\n  return Z_OK$1;\n};\n\n\nconst inflateSetDictionary = (strm, dictionary) => {\n  const dictLength = dictionary.length;\n\n  let state;\n  let dictid;\n  let ret;\n\n  /* check state */\n  if (inflateStateCheck(strm)) { return Z_STREAM_ERROR$1; }\n  state = strm.state;\n\n  if (state.wrap !== 0 && state.mode !== DICT) {\n    return Z_STREAM_ERROR$1;\n  }\n\n  /* check for correct dictionary identifier */\n  if (state.mode === DICT) {\n    dictid = 1; /* adler32(0, null, 0)*/\n    /* dictid = adler32(dictid, dictionary, dictLength); */\n    dictid = adler32_1(dictid, dictionary, dictLength, 0);\n    if (dictid !== state.check) {\n      return Z_DATA_ERROR$1;\n    }\n  }\n  /* copy dictionary to window using updatewindow(), which will amend the\n   existing dictionary if appropriate */\n  ret = updatewindow(strm, dictionary, dictLength, dictLength);\n  if (ret) {\n    state.mode = MEM;\n    return Z_MEM_ERROR$1;\n  }\n  state.havedict = 1;\n  // Tracev((stderr, \"inflate:   dictionary set\\n\"));\n  return Z_OK$1;\n};\n\n\nvar inflateReset_1 = inflateReset;\nvar inflateReset2_1 = inflateReset2;\nvar inflateResetKeep_1 = inflateResetKeep;\nvar inflateInit_1 = inflateInit;\nvar inflateInit2_1 = inflateInit2;\nvar inflate_2$1 = inflate$2;\nvar inflateEnd_1 = inflateEnd;\nvar inflateGetHeader_1 = inflateGetHeader;\nvar inflateSetDictionary_1 = inflateSetDictionary;\nvar inflateInfo = 'pako inflate (from Nodeca project)';\n\n/* Not implemented\nmodule.exports.inflateCodesUsed = inflateCodesUsed;\nmodule.exports.inflateCopy = inflateCopy;\nmodule.exports.inflateGetDictionary = inflateGetDictionary;\nmodule.exports.inflateMark = inflateMark;\nmodule.exports.inflatePrime = inflatePrime;\nmodule.exports.inflateSync = inflateSync;\nmodule.exports.inflateSyncPoint = inflateSyncPoint;\nmodule.exports.inflateUndermine = inflateUndermine;\nmodule.exports.inflateValidate = inflateValidate;\n*/\n\nvar inflate_1$2 = {\n\tinflateReset: inflateReset_1,\n\tinflateReset2: inflateReset2_1,\n\tinflateResetKeep: inflateResetKeep_1,\n\tinflateInit: inflateInit_1,\n\tinflateInit2: inflateInit2_1,\n\tinflate: inflate_2$1,\n\tinflateEnd: inflateEnd_1,\n\tinflateGetHeader: inflateGetHeader_1,\n\tinflateSetDictionary: inflateSetDictionary_1,\n\tinflateInfo: inflateInfo\n};\n\n// (C) 1995-2013 Jean-loup Gailly and Mark Adler\n// (C) 2014-2017 Vitaly Puzrin and Andrey Tupitsin\n//\n// This software is provided 'as-is', without any express or implied\n// warranty. In no event will the authors be held liable for any damages\n// arising from the use of this software.\n//\n// Permission is granted to anyone to use this software for any purpose,\n// including commercial applications, and to alter it and redistribute it\n// freely, subject to the following restrictions:\n//\n// 1. The origin of this software must not be misrepresented; you must not\n//   claim that you wrote the original software. If you use this software\n//   in a product, an acknowledgment in the product documentation would be\n//   appreciated but is not required.\n// 2. Altered source versions must be plainly marked as such, and must not be\n//   misrepresented as being the original software.\n// 3. This notice may not be removed or altered from any source distribution.\n\nfunction GZheader() {\n  /* true if compressed data believed to be text */\n  this.text       = 0;\n  /* modification time */\n  this.time       = 0;\n  /* extra flags (not used when writing a gzip file) */\n  this.xflags     = 0;\n  /* operating system */\n  this.os         = 0;\n  /* pointer to extra field or Z_NULL if none */\n  this.extra      = null;\n  /* extra field length (valid if extra != Z_NULL) */\n  this.extra_len  = 0; // Actually, we don't need it in JS,\n                       // but leave for few code modifications\n\n  //\n  // Setup limits is not necessary because in js we should not preallocate memory\n  // for inflate use constant limit in 65536 bytes\n  //\n\n  /* space at extra (only when reading header) */\n  // this.extra_max  = 0;\n  /* pointer to zero-terminated file name or Z_NULL */\n  this.name       = '';\n  /* space at name (only when reading header) */\n  // this.name_max   = 0;\n  /* pointer to zero-terminated comment or Z_NULL */\n  this.comment    = '';\n  /* space at comment (only when reading header) */\n  // this.comm_max   = 0;\n  /* true if there was or will be a header crc */\n  this.hcrc       = 0;\n  /* true when done reading gzip header (not used when writing a gzip file) */\n  this.done       = false;\n}\n\nvar gzheader = GZheader;\n\nconst toString = Object.prototype.toString;\n\n/* Public constants ==========================================================*/\n/* ===========================================================================*/\n\nconst {\n  Z_NO_FLUSH, Z_FINISH,\n  Z_OK, Z_STREAM_END, Z_NEED_DICT, Z_STREAM_ERROR, Z_DATA_ERROR, Z_MEM_ERROR\n} = constants$2;\n\n/* ===========================================================================*/\n\n\n/**\n * class Inflate\n *\n * Generic JS-style wrapper for zlib calls. If you don't need\n * streaming behaviour - use more simple functions: [[inflate]]\n * and [[inflateRaw]].\n **/\n\n/* internal\n * inflate.chunks -> Array\n *\n * Chunks of output data, if [[Inflate#onData]] not overridden.\n **/\n\n/**\n * Inflate.result -> Uint8Array|String\n *\n * Uncompressed result, generated by default [[Inflate#onData]]\n * and [[Inflate#onEnd]] handlers. Filled after you push last chunk\n * (call [[Inflate#push]] with `Z_FINISH` / `true` param).\n **/\n\n/**\n * Inflate.err -> Number\n *\n * Error code after inflate finished. 0 (Z_OK) on success.\n * Should be checked if broken data possible.\n **/\n\n/**\n * Inflate.msg -> String\n *\n * Error message, if [[Inflate.err]] != 0\n **/\n\n\n/**\n * new Inflate(options)\n * - options (Object): zlib inflate options.\n *\n * Creates new inflator instance with specified params. Throws exception\n * on bad params. Supported options:\n *\n * - `windowBits`\n * - `dictionary`\n *\n * [http://zlib.net/manual.html#Advanced](http://zlib.net/manual.html#Advanced)\n * for more information on these.\n *\n * Additional options, for internal needs:\n *\n * - `chunkSize` - size of generated data chunks (16K by default)\n * - `raw` (Boolean) - do raw inflate\n * - `to` (String) - if equal to 'string', then result will be converted\n *   from utf8 to utf16 (javascript) string. When string output requested,\n *   chunk length can differ from `chunkSize`, depending on content.\n *\n * By default, when no options set, autodetect deflate/gzip data format via\n * wrapper header.\n *\n * ##### Example:\n *\n * ```javascript\n * const pako = require('pako')\n * const chunk1 = new Uint8Array([1,2,3,4,5,6,7,8,9])\n * const chunk2 = new Uint8Array([10,11,12,13,14,15,16,17,18,19]);\n *\n * const inflate = new pako.Inflate({ level: 3});\n *\n * inflate.push(chunk1, false);\n * inflate.push(chunk2, true);  // true -> last chunk\n *\n * if (inflate.err) { throw new Error(inflate.err); }\n *\n * console.log(inflate.result);\n * ```\n **/\nfunction Inflate$1(options) {\n  this.options = common.assign({\n    chunkSize: 1024 * 64,\n    windowBits: 15,\n    to: ''\n  }, options || {});\n\n  const opt = this.options;\n\n  // Force window size for `raw` data, if not set directly,\n  // because we have no header for autodetect.\n  if (opt.raw && (opt.windowBits >= 0) && (opt.windowBits < 16)) {\n    opt.windowBits = -opt.windowBits;\n    if (opt.windowBits === 0) { opt.windowBits = -15; }\n  }\n\n  // If `windowBits` not defined (and mode not raw) - set autodetect flag for gzip/deflate\n  if ((opt.windowBits >= 0) && (opt.windowBits < 16) &&\n      !(options && options.windowBits)) {\n    opt.windowBits += 32;\n  }\n\n  // Gzip header has no info about windows size, we can do autodetect only\n  // for deflate. So, if window size not set, force it to max when gzip possible\n  if ((opt.windowBits > 15) && (opt.windowBits < 48)) {\n    // bit 3 (16) -> gzipped data\n    // bit 4 (32) -> autodetect gzip/deflate\n    if ((opt.windowBits & 15) === 0) {\n      opt.windowBits |= 15;\n    }\n  }\n\n  this.err    = 0;      // error code, if happens (0 = Z_OK)\n  this.msg    = '';     // error message\n  this.ended  = false;  // used to avoid multiple onEnd() calls\n  this.chunks = [];     // chunks of compressed data\n\n  this.strm   = new zstream();\n  this.strm.avail_out = 0;\n\n  let status  = inflate_1$2.inflateInit2(\n    this.strm,\n    opt.windowBits\n  );\n\n  if (status !== Z_OK) {\n    throw new Error(messages[status]);\n  }\n\n  this.header = new gzheader();\n\n  inflate_1$2.inflateGetHeader(this.strm, this.header);\n\n  // Setup dictionary\n  if (opt.dictionary) {\n    // Convert data if needed\n    if (typeof opt.dictionary === 'string') {\n      opt.dictionary = strings.string2buf(opt.dictionary);\n    } else if (toString.call(opt.dictionary) === '[object ArrayBuffer]') {\n      opt.dictionary = new Uint8Array(opt.dictionary);\n    }\n    if (opt.raw) { //In raw mode we need to set the dictionary early\n      status = inflate_1$2.inflateSetDictionary(this.strm, opt.dictionary);\n      if (status !== Z_OK) {\n        throw new Error(messages[status]);\n      }\n    }\n  }\n}\n\n/**\n * Inflate#push(data[, flush_mode]) -> Boolean\n * - data (Uint8Array|ArrayBuffer): input data\n * - flush_mode (Number|Boolean): 0..6 for corresponding Z_NO_FLUSH..Z_TREE\n *   flush modes. See constants. Skipped or `false` means Z_NO_FLUSH,\n *   `true` means Z_FINISH.\n *\n * Sends input data to inflate pipe, generating [[Inflate#onData]] calls with\n * new output chunks. Returns `true` on success. If end of stream detected,\n * [[Inflate#onEnd]] will be called.\n *\n * `flush_mode` is not needed for normal operation, because end of stream\n * detected automatically. You may try to use it for advanced things, but\n * this functionality was not tested.\n *\n * On fail call [[Inflate#onEnd]] with error code and return false.\n *\n * ##### Example\n *\n * ```javascript\n * push(chunk, false); // push one of data chunks\n * ...\n * push(chunk, true);  // push last chunk\n * ```\n **/\nInflate$1.prototype.push = function (data, flush_mode) {\n  const strm = this.strm;\n  const chunkSize = this.options.chunkSize;\n  const dictionary = this.options.dictionary;\n  let status, _flush_mode, last_avail_out;\n\n  if (this.ended) return false;\n\n  if (flush_mode === ~~flush_mode) _flush_mode = flush_mode;\n  else _flush_mode = flush_mode === true ? Z_FINISH : Z_NO_FLUSH;\n\n  // Convert data if needed\n  if (toString.call(data) === '[object ArrayBuffer]') {\n    strm.input = new Uint8Array(data);\n  } else {\n    strm.input = data;\n  }\n\n  strm.next_in = 0;\n  strm.avail_in = strm.input.length;\n\n  for (;;) {\n    if (strm.avail_out === 0) {\n      strm.output = new Uint8Array(chunkSize);\n      strm.next_out = 0;\n      strm.avail_out = chunkSize;\n    }\n\n    status = inflate_1$2.inflate(strm, _flush_mode);\n\n    if (status === Z_NEED_DICT && dictionary) {\n      status = inflate_1$2.inflateSetDictionary(strm, dictionary);\n\n      if (status === Z_OK) {\n        status = inflate_1$2.inflate(strm, _flush_mode);\n      } else if (status === Z_DATA_ERROR) {\n        // Replace code with more verbose\n        status = Z_NEED_DICT;\n      }\n    }\n\n    // Skip snyc markers if more data follows and not raw mode\n    while (strm.avail_in > 0 &&\n           status === Z_STREAM_END &&\n           strm.state.wrap > 0 &&\n           data[strm.next_in] !== 0)\n    {\n      inflate_1$2.inflateReset(strm);\n      status = inflate_1$2.inflate(strm, _flush_mode);\n    }\n\n    switch (status) {\n      case Z_STREAM_ERROR:\n      case Z_DATA_ERROR:\n      case Z_NEED_DICT:\n      case Z_MEM_ERROR:\n        this.onEnd(status);\n        this.ended = true;\n        return false;\n    }\n\n    // Remember real `avail_out` value, because we may patch out buffer content\n    // to align utf8 strings boundaries.\n    last_avail_out = strm.avail_out;\n\n    if (strm.next_out) {\n      if (strm.avail_out === 0 || status === Z_STREAM_END) {\n\n        if (this.options.to === 'string') {\n\n          let next_out_utf8 = strings.utf8border(strm.output, strm.next_out);\n\n          let tail = strm.next_out - next_out_utf8;\n          let utf8str = strings.buf2string(strm.output, next_out_utf8);\n\n          // move tail & realign counters\n          strm.next_out = tail;\n          strm.avail_out = chunkSize - tail;\n          if (tail) strm.output.set(strm.output.subarray(next_out_utf8, next_out_utf8 + tail), 0);\n\n          this.onData(utf8str);\n\n        } else {\n          this.onData(strm.output.length === strm.next_out ? strm.output : strm.output.subarray(0, strm.next_out));\n        }\n      }\n    }\n\n    // Must repeat iteration if out buffer is full\n    if (status === Z_OK && last_avail_out === 0) continue;\n\n    // Finalize if end of stream reached.\n    if (status === Z_STREAM_END) {\n      status = inflate_1$2.inflateEnd(this.strm);\n      this.onEnd(status);\n      this.ended = true;\n      return true;\n    }\n\n    if (strm.avail_in === 0) break;\n  }\n\n  return true;\n};\n\n\n/**\n * Inflate#onData(chunk) -> Void\n * - chunk (Uint8Array|String): output data. When string output requested,\n *   each chunk will be string.\n *\n * By default, stores data blocks in `chunks[]` property and glue\n * those in `onEnd`. Override this handler, if you need another behaviour.\n **/\nInflate$1.prototype.onData = function (chunk) {\n  this.chunks.push(chunk);\n};\n\n\n/**\n * Inflate#onEnd(status) -> Void\n * - status (Number): inflate status. 0 (Z_OK) on success,\n *   other if not.\n *\n * Called either after you tell inflate that the input stream is\n * complete (Z_FINISH). By default - join collected chunks,\n * free memory and fill `results` / `err` properties.\n **/\nInflate$1.prototype.onEnd = function (status) {\n  // On success - join\n  if (status === Z_OK) {\n    if (this.options.to === 'string') {\n      this.result = this.chunks.join('');\n    } else {\n      this.result = common.flattenChunks(this.chunks);\n    }\n  }\n  this.chunks = [];\n  this.err = status;\n  this.msg = this.strm.msg;\n};\n\n\n/**\n * inflate(data[, options]) -> Uint8Array|String\n * - data (Uint8Array|ArrayBuffer): input data to decompress.\n * - options (Object): zlib inflate options.\n *\n * Decompress `data` with inflate/ungzip and `options`. Autodetect\n * format via wrapper header by default. That's why we don't provide\n * separate `ungzip` method.\n *\n * Supported options are:\n *\n * - windowBits\n *\n * [http://zlib.net/manual.html#Advanced](http://zlib.net/manual.html#Advanced)\n * for more information.\n *\n * Sugar (options):\n *\n * - `raw` (Boolean) - say that we work with raw stream, if you don't wish to specify\n *   negative windowBits implicitly.\n * - `to` (String) - if equal to 'string', then result will be converted\n *   from utf8 to utf16 (javascript) string. When string output requested,\n *   chunk length can differ from `chunkSize`, depending on content.\n *\n *\n * ##### Example:\n *\n * ```javascript\n * const pako = require('pako');\n * const input = pako.deflate(new Uint8Array([1,2,3,4,5,6,7,8,9]));\n * let output;\n *\n * try {\n *   output = pako.inflate(input);\n * } catch (err) {\n *   console.log(err);\n * }\n * ```\n **/\nfunction inflate$1(input, options) {\n  const inflator = new Inflate$1(options);\n\n  inflator.push(input);\n\n  // That will never happens, if you don't cheat with options :)\n  if (inflator.err) throw inflator.msg || messages[inflator.err];\n\n  return inflator.result;\n}\n\n\n/**\n * inflateRaw(data[, options]) -> Uint8Array|String\n * - data (Uint8Array|ArrayBuffer): input data to decompress.\n * - options (Object): zlib inflate options.\n *\n * The same as [[inflate]], but creates raw data, without wrapper\n * (header and adler32 crc).\n **/\nfunction inflateRaw$1(input, options) {\n  options = options || {};\n  options.raw = true;\n  return inflate$1(input, options);\n}\n\n\n/**\n * ungzip(data[, options]) -> Uint8Array|String\n * - data (Uint8Array|ArrayBuffer): input data to decompress.\n * - options (Object): zlib inflate options.\n *\n * Just shortcut to [[inflate]], because it autodetects format\n * by header.content. Done for convenience.\n **/\n\n\nvar Inflate_1$1 = Inflate$1;\nvar inflate_2 = inflate$1;\nvar inflateRaw_1$1 = inflateRaw$1;\nvar ungzip$1 = inflate$1;\n\nvar inflate_1$1 = {\n\tInflate: Inflate_1$1,\n\tinflate: inflate_2,\n\tinflateRaw: inflateRaw_1$1,\n\tungzip: ungzip$1};\n\nconst { Deflate, deflate, deflateRaw, gzip } = deflate_1$1;\n\nconst { Inflate, inflate, inflateRaw, ungzip } = inflate_1$1;\n\n\n\nvar Deflate_1 = Deflate;\nvar deflate_1 = deflate;\nvar deflateRaw_1 = deflateRaw;\nvar gzip_1 = gzip;\nvar Inflate_1 = Inflate;\nvar inflate_1 = inflate;\nvar inflateRaw_1 = inflateRaw;\nvar ungzip_1 = ungzip;\nvar constants_1 = constants$2;\n\nvar pako = {\n\tDeflate: Deflate_1,\n\tdeflate: deflate_1,\n\tdeflateRaw: deflateRaw_1,\n\tgzip: gzip_1,\n\tInflate: Inflate_1,\n\tinflate: inflate_1,\n\tinflateRaw: inflateRaw_1,\n\tungzip: ungzip_1,\n\tconstants: constants_1\n};\n\n// console.log(\"get-pgscatalog-scores: getPGS_loadTxts.js loaded\")\n\n// load all traits (paginated) and log stats about them to console  \nconst getScoreUrl = (id, build = 37) => `https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/${id}/ScoringFiles/Harmonized/${id}_hmPOS_GRCh${build}.txt.gz`;\nconst MAX_PGS_CACHE_BYTES = 300 * 1024 * 1024;\nconst PGS_KEY_PREFIX = \"PGS_Catalog:id-\";\n\n\n\nfunction getByteSize(value) {\n    const encoded = JSON.stringify(value) ?? \"\";\n    if (typeof TextEncoder !== \"undefined\") {\n        return new TextEncoder().encode(encoded).length;\n    }\n    return encoded.length * 2;\n}\n\n// Decodes an ArrayBuffer to text, transparently inflating gzip-compressed data\n// (magic bytes 0x1f 0x8b) so both `.txt` and `.txt.gz` inputs work.\nfunction bufferToText(buffer) {\n    const bytes = new Uint8Array(buffer);\n    const isGzip = bytes.length >= 2 && bytes[0] === 0x1f && bytes[1] === 0x8b;\n    if (isGzip) {\n        return pako.inflate(bytes, { to: \"string\" });\n    }\n    return new TextDecoder(\"utf-8\").decode(bytes);\n}\n\n// Derives a stable cache id from a file path/URL (filename without .txt/.gz).\nfunction idFromPath(path) {\n    const match = String(path).match(/([^/\\\\?#]+?)(?:\\.txt)?(?:\\.gz)?(?:[?#].*)?$/i);\n    return match?.[1] || String(path);\n}\n\n// Loads a single PGS scoring file and returns the parsed score object.\n// Accepts: a PGS id string (\"PGS000050\"), a local/remote file path or URL\n// (\".txt\" or \".txt.gz\"), or a File / FileList / File-like object.\nasync function getPgsTxt(input, _unused, cache = true, build = 37) {\n    // console.log(\"getTxts()\", input)\n\n    // Persists the parsed score and returns it. Keeps caching logic in one place.\n    async function cacheAndReturn(score, cacheKey) {\n        if (cache) {\n            try {\n                score.cachedAt = Date.now();\n                await localforage.setItem(cacheKey, score);\n                await limitStorage([score.id]);\n            } catch (err) {\n                console.warn(`getTxts(): Failed to cache ${cacheKey}:`, err);\n            }\n        }\n        return score;\n    }\n\n    // Resolve the input into an id and a lazy text loader.\n    const isFileInstance = typeof File !== \"undefined\" && input instanceof File;\n    const isFileLikeObject = !!input && typeof input === \"object\" && typeof input.text === \"function\";\n    const isFileListLike = !!input && typeof input === \"object\" &&\n        typeof input.length === \"number\" && input.length > 0 &&\n        typeof input[0]?.text === \"function\";\n\n    let id, loadText;\n\n    if (isFileInstance || isFileLikeObject || isFileListLike) {\n        const file = isFileListLike ? input[0] : input;\n        id = file.name;\n        loadText = async () => bufferToText(await file.arrayBuffer());\n    } else if (typeof input === \"string\") {\n        const isPgsId = /^PGS\\d+$/i.test(input.trim());\n        id = isPgsId ? input.trim() : idFromPath(input);\n        loadText = isPgsId\n            ? () => fetchScore(id, build)\n            : async () => {\n                const response = await fetch(input);\n                if (!response.ok) {\n                    throw new Error(`Failed to load ${input}: ${response.status}`);\n                }\n                return bufferToText(await response.arrayBuffer());\n            };\n    } else {\n        throw new TypeError(\"getTxts expects a PGS id string, a path/URL string, or a File object\");\n    }\n\n    const cacheKey = `${PGS_KEY_PREFIX}${id}-build${build}`;\n\n    if (cache) {\n        const cached = await localforage.getItem(cacheKey);\n        if (cached != null) {\n            console.log(`getTxts(): Cache hit for ${id}`);\n            return cached;\n        }\n    }\n\n    return cacheAndReturn(await parseScore(id, await loadText()), cacheKey);\n}\n\n\n// evicts in this order:First: cached PGS_Catalog:id-* entries whose IDs are not in current ids.\n// Then (only if still over limit): entries whose IDs are in current ids.\nasync function limitStorage(ids = []){\n    const entries = [];\n    let totalBytes = 0;\n    const requestedIds = new Set((ids || []).map(id => String(id)));\n\n    await localforage.iterate((value, key) => {\n        if (!key.startsWith(PGS_KEY_PREFIX)) {\n            return;\n        }\n        const entryBytes = getByteSize({ key, value });\n        const createdAt = Number(value?.cachedAt) || 0;\n        const id = String(value?.id ?? key.slice(PGS_KEY_PREFIX.length));\n\n        entries.push({ key, id, entryBytes, createdAt });\n        totalBytes += entryBytes;\n        //console.log(`Cached pgs entries: ${key}, Size: ${(entryBytes / 1024 / 1024).toFixed(2)} MB`);\n    });\n\n    if (totalBytes < MAX_PGS_CACHE_BYTES) {\n        // console.log(`Cache limit: ${(MAX_PGS_CACHE_BYTES / 1024 / 1024).toFixed(0)} MB. Current usage: ${(totalBytes / 1024 / 1024).toFixed(2)} MB. No eviction needed.`);\n        return;\n    }\n\n    const notRequestedEntries = entries\n        .filter(entry => !requestedIds.has(entry.id))\n        .sort((a, b) => a.createdAt - b.createdAt);\n\n    const requestedEntries = entries\n        .filter(entry => requestedIds.has(entry.id))\n        .sort((a, b) => a.createdAt - b.createdAt);\n\n    const evictionOrder = [...notRequestedEntries, ...requestedEntries];\n\n    for (const entry of evictionOrder) {\n        if (totalBytes < MAX_PGS_CACHE_BYTES) {\n            break;\n        }\n        await localforage.removeItem(entry.key);\n        totalBytes -= entry.entryBytes;\n    }\n    // console.log(`Cache after eviction: ${(totalBytes / 1024 / 1024).toFixed(2)} MB`);\n\n}\n\nasync function fetchScore(id = 'PGS000050', build = 37, range) {\n    // console.log(\"loadScore\")\n    let txt = \"\";\n    const MAX_ROWS = 1000000;\n\n    const url = getScoreUrl(id, build);\n    // console.log(\"loading harmonized pgs score from url\", url)\n\n    {\n        txt = pako.inflate(await (await fetch(url)).arrayBuffer(), {\n            to: 'string'\n        });\n    }\n\n    const rowCount = txt.split(/\\r\\n|\\n|\\r/g).length;\n    if (rowCount > MAX_ROWS) {\n        return \"failed to fetch. File freater than 1M rows!\"\n    }\n\n    // Check if PGS catalog FTP site is down-----------------------\n    let response;\n    response = await fetch(url); // testing url 'https://httpbin.org/status/429'\n    if (response?.ok) ; else {\n        txt = `:( Error loading PGS file. HTTP Response Code: ${response?.status}`;\n        const textArea = typeof document !== \"undefined\" ? document.getElementById('pgsTextArea') : null;\n        if (textArea) {\n            textArea.value = txt;\n        } else {\n            console.error(txt);\n        }\n    }\n    return txt\n}\n\n// create PGS obj and data --------------------------\nasync function parseScore(id, txt) {\n    console.log(`parseScore: Parsing PGS scoring file ${id} (${txt.length} chars)`);\n\n    let obj = {id: id};\n    obj.txt = txt;\n    let rows = obj.txt.split(/[\\r\\n]/g);\n    let metaL = rows.filter(r => (r[0] == '#')).length;\n    obj.meta = {\n        txt: rows.slice(0, metaL)\n    };\n    obj.cols = rows[metaL].split(/\\t/g);\n    obj.dt = rows.slice(metaL + 1).map(r => r.split(/\\t/g));\n    if (obj.dt.at(-1)?.length === 1 && obj.dt.at(-1)[0] === \"\") {\n        obj.dt.pop();\n    }\n    // parse numerical types\n    const indInt = [obj.cols.indexOf('chr_position'), obj.cols.indexOf('hm_pos')];\n    const indFloat = [obj.cols.indexOf('effect_weight'), obj.cols.indexOf('allelefrequency_effect')];\n    const indBol = [obj.cols.indexOf('hm_match_chr'), obj.cols.indexOf('hm_match_pos')];\n\n    // /* this is the efficient way to do it, but for large files it has memory issues\n    obj.dt = obj.dt.map(r => {\n        // for each data row\n        indFloat.forEach(ind => {\n            r[ind] = parseFloat(r[ind]);\n        });\n        indInt.forEach(ind => {\n            r[ind] = parseInt(r[ind]);\n        });\n        indBol.forEach(ind => {\n            r[ind] = String(r[ind]).toLowerCase() === \"true\";\n        });\n        return r\n    });\n    // parse metadata\n    obj.meta.txt.filter(r => (r[1] != '#')).forEach(aa => {\n        aa = aa.slice(1).split('=');\n        obj.meta[aa[0]] = aa[1];\n    });\n    return obj\n}\n\nfunction formatNumber(value, decimals = 0) {\n\tif (value == null || Number.isNaN(value)) return \"NR\";\n\treturn Number(value).toLocaleString(undefined, {\n\t\tminimumFractionDigits: decimals,\n\t\tmaximumFractionDigits: decimals,\n\t});\n}\n\nfunction setTextContent(id, text) {\n\tconst element = document.getElementById(id);\n\tif (!element) return;\n\telement.textContent = text;\n}\n\nconst PROGRESS_IDS = {\n\ttrait: \"traitProgress\",\n\tscoreTrait: \"scoreTraitProgress\",\n\tscoreCategory: \"scoreCategoryProgress\",\n};\n\n/**\n * Update a section's loading progress bar.\n * @param {\"trait\"|\"scoreTrait\"|\"scoreCategory\"} kind\n * @param {number} percent 0-100\n * @param {{ done?: boolean }} [options] when done, the bar is hidden\n */\nfunction setLoadProgress(kind, percent, { done = false } = {}) {\n\tconst container = document.getElementById(PROGRESS_IDS[kind]);\n\tif (!container) return;\n\n\tconst clamped = Math.min(100, Math.max(0, Number(percent) || 0));\n\tcontainer.setAttribute(\"aria-valuenow\", String(clamped));\n\tcontainer.classList.toggle(\"is-complete\", done);\n\n\tconst bar = container.querySelector(\".progress-bar\");\n\tif (!bar) return;\n\tbar.style.width = `${clamped}%`;\n\tif (done) {\n\t\tbar.classList.remove(\"progress-bar-animated\");\n\t}\n}\n\nfunction renderTraitStatus({ sourceStatus, output } = {}) {\n\tif (sourceStatus !== undefined) {\n\t\tsetTextContent(\"traitSourceStatus\", sourceStatus);\n\t}\n\tif (output !== undefined) {\n\t\tsetTextContent(\"traitOutput\", output);\n\t}\n}\n\nfunction getTraitCategoryEntries(summary) {\n\tconst entries = Array.isArray(summary?.categories)\n\t\t? summary.categories\n\t\t: (Array.isArray(summary?.topCategories) ? summary.topCategories : []);\n\n\treturn entries.map((entry) => {\n\t\tif (Array.isArray(entry)) {\n\t\t\tconst pgsIds = Array.isArray(entry[2]) ? entry[2] : [];\n\t\t\treturn {\n\t\t\t\tcategory: entry[0],\n\t\t\t\t\"traits_count\": entry[1],\n\t\t\t\t\"pgs_ids\": pgsIds,\n\t\t\t\t\"pgs_ids_count\": pgsIds.length,\n\t\t\t\t\"traits\": entry[3] ?? [],\n\t\t\t};\n\t\t}\n\t\tif (entry && typeof entry === \"object\" && Array.isArray(entry[\"pgs_ids\"])) {\n\t\t\treturn {\n\t\t\t\t...entry,\n\t\t\t\t\"pgs_ids_count\": entry[\"pgs_ids\"].length,\n\t\t\t};\n\t\t}\n\t\treturn entry;\n\t});\n}\n\nfunction renderTraitStats(summary) {\n\tconst statsDiv = document.getElementById(\"traitDiv\");\n\tif (!statsDiv) return;\n\n\tconst topCategory = getTraitCategoryEntries(summary)[0];\n\tconst topCategoryLabel = topCategory\n\t\t? `${topCategory.category} (${formatNumber(topCategory[\"traits_count\"])})`\n\t\t: \"NR\";\n\n\tstatsDiv.innerHTML = `\n\t\t<div class=\"small text-muted\">\n\t\t\t<div><strong>Total traits:</strong> ${formatNumber(summary.traits.length)}</div>\n\t\t\t<div><strong>Total categories:</strong> ${formatNumber(summary.categories.length)}</div>\n\t\t\t<div><strong>Top category:</strong> ${topCategoryLabel}</div>\n\t\t</div>\n\t`;\n}\n\nfunction renderTraitPlot(summary) {\n\tif (typeof Plotly === \"undefined\") return;\n\n\tconst chartDiv = document.getElementById(\"traitChart\");\n\tif (!chartDiv) return;\n\n\tconst categoryEntries = getTraitCategoryEntries(summary);\n\tconst categories = categoryEntries.map((entry) => entry.category);\n\tconst counts = categoryEntries.map((entry) => entry[\"traits_count\"]);\n\tconst data = [\n\t\t{\n\t\t\ttype: \"bar\",\n\t\t\tx: counts,\n\t\t\ty: categories,\n\t\t\torientation: \"h\",\n\t\t\tmarker: { color: \"#0d6efd\" },\n\t\t},\n\t];\n\n\tconst layout = {\n\t\ttitle: {\n\t\t\ttext: \"Traits per Category\",\n\t\t\tx: 0.5,\n\t\t\txanchor: \"center\",\n\t\t},\n\t\tmargin: { l: 260, r: 20, t: 80, b: 90 },\n\t\txaxis: {\n\t\t\ttitle: {\n\t\t\t\ttext: \"Trait count\",\n\t\t\t\tstandoff: 10,\n\t\t\t},\n\t\t\tside: \"bottom\",\n\t\t\tautomargin: true,\n\t\t},\n\t\tyaxis: { automargin: true },\n\t};\n\n\tPlotly.newPlot(chartDiv, data, layout, { responsive: true });\n}\n\nasync function fetchDataAndRenderPlots() {\n\ttry {\n\t\trenderTraitStatus({ sourceStatus: \"Source: loading PGS trait metadata...\" });\n\t\tsetLoadProgress(\"trait\", 15);\n\n\t\tconst results = await fetchTraits();\n\t\tsetLoadProgress(\"trait\", 65);\n\t\tconst summary = results?.summary ?? null;\n\t\tif (!summary) {\n\t\t\trenderTraitStatus({\n\t\t\t\tsourceStatus: \"Source: unavailable\",\n\t\t\t\toutput: \"Error loading stats: missing trait summary data.\",\n\t\t\t});\n\t\t\treturn null;\n\t\t}\n\n\t\trenderTraitStats(summary);\n\t\trenderTraitPlot(summary);\n\t\tsetLoadProgress(\"trait\", 100, { done: true });\n\n\t\tif (results.source === \"cache\") {\n\t\t\trenderTraitStatus({\n\t\t\t\tsourceStatus: \"Source: local cache (LocalForage, < 3 months)\",\n\t\t\t\toutput: `Loaded ${formatNumber(summary.traits.length)} cached traits summary (${results.savedAt}).`,\n\t\t\t});\n\t\t} else if (results.source === \"cache-fallback\") {\n\t\t\trenderTraitStatus({\n\t\t\t\tsourceStatus: \"Source: local cache (LocalForage fallback)\",\n\t\t\t\toutput: `Loaded ${formatNumber(summary.traits.length)} cached traits summary (${results.savedAt}).`,\n\t\t\t});\n\t\t\tif (results.error) {\n\t\t\t\tconsole.error(results.error);\n\t\t\t}\n\t\t} else {\n\t\t\trenderTraitStatus({\n\t\t\t\tsourceStatus: \"Source: PGS Catalog REST API (live)\",\n\t\t\t\toutput: `Loaded ${formatNumber(summary.traits.length)} traits from PGS Catalog.`,\n\t\t\t});\n\t\t}\n\n\t\treturn summary;\n\t} catch (error) {\n\t\trenderTraitStatus({\n\t\t\tsourceStatus: \"Source: unavailable\",\n\t\t\toutput: `Error loading stats: ${error.message}`,\n\t\t});\n\t\tconsole.error(error);\n\t\treturn null;\n\t} finally {\n\t\tsetLoadProgress(\"trait\", 100, { done: true });\n\t}\n}\n\nasync function estimateLocalForageSizeKB() {\n  let total = 0;\n\n  await localforage.iterate((value, key) => {\n    const size = new Blob([JSON.stringify(value)]).size;\n    total += size;\n  });\n\n  const totalKB = total / 1024;\n  console.log(\"LocalForage size:\", totalKB.toFixed(2), \"KB\");\n  return totalKB;\n}\n\nasync function checkStorageKB() {\n  if (navigator.storage && navigator.storage.estimate) {\n    const { usage, quota } = await navigator.storage.estimate();\n    const usageKB = usage / 1024;\n    const quotaKB = quota / 1024;\n\n    console.log(\"Used:\", usageKB.toFixed(2), \"KB\");\n    console.log(\"Quota:\", quotaKB.toFixed(2), \"KB\");\n    console.log(\"Percent used:\", ((usageKB / quotaKB) * 100).toFixed(2) + \"%\");\n\n    return { usage, quota, usageKB, quotaKB };\n  } else {\n    console.log(\"Storage API not supported\");\n  }\n}\n\nfunction getTextSizeKB(text) {\n  try {\n    const textValue = typeof text === \"string\" ? text : JSON.stringify(text);\n    const sizeBytes = new Blob([textValue ?? \"\"]).size;\n    const sizeKB = sizeBytes / 1024;\n    console.log(`Size: ${sizeBytes} bytes (${sizeKB.toFixed(2)} KB)`);\n    return sizeKB;\n  } catch (error) {\n    const message = error?.message ?? String(error);\n    console.error(`getTextSizeKB() failed: ${message}`);\n    throw new Error(`Unable to calculate text size: ${message}`);\n  }\n}\n\nexport { checkStorageKB, estimateLocalForageSizeKB, fetchAllScores, fetchDataAndRenderPlots, fetchSomeScores, fetchTraits, getPgsTxt, getScoresPerCategory, getScoresPerTrait, getTextSizeKB, localforage, parseScore };\n//# sourceMappingURL=sdk.mjs.map\n","function Match2(mypgs, my23){\r\n  // Defensive checks\r\n  if (!mypgs || !mypgs.cols || !Array.isArray(mypgs.cols)) {\r\n    console.error(\"Match2 error: invalid mypgs structure\", mypgs);\r\n    return { pgs_id: mypgs && mypgs.meta && mypgs.meta.pgs_id, PRS: null, error: \"Invalid PGS data structure\" };\r\n  }\r\n  if (!my23 || !my23.cols || !Array.isArray(my23.cols)) {\r\n    console.error(\"Match2 error: invalid my23 structure\", my23);\r\n    return { pgs_id: mypgs && mypgs.meta && mypgs.meta.pgs_id, PRS: null, error: \"Invalid genome data structure\" };\r\n  }\r\n\t\r\n  let data2 = {}\r\n  // extract harmonized data from PGS entry first\r\n  const indChr = mypgs.cols.indexOf('hm_chr')\r\n  const indPos = mypgs.cols.indexOf('hm_pos')\r\n  const indOther_allele = mypgs.cols.indexOf('other_allele')\r\n  const indEffect_allele = mypgs.cols.indexOf('effect_allele')\r\n  const indGenotype = my23.cols.indexOf('genotype')\r\n\t// match\r\n\tlet dtMatch = []\r\n\tconst n = mypgs.dt.length\r\n\t\tfor (let i=0; i<n; i++){\r\n\t\t\tlet matchFloor = 0\r\n\t\t\t  let r = mypgs.dt[i]\r\n\t\t\t//also filter 23 and me variants if they don't match pgs alt or effect allele \r\n\t\t\tlet regexPattern = new RegExp([r[indEffect_allele], r[indOther_allele]].join('|'))\r\n  \r\n\t\t\tif (dtMatch.length > 0) {\r\n\t\t\t\tmatchFloor = dtMatch.at(-1)[0][4]\r\n\t\t\t}\r\n\t\t   // console.log(\"dtmacch i\",r, my23.dt.filter(myr => (myr[2] == r[indPos])))\r\n\t\t\tlet dtMatch_i = my23.dt.filter(myr => (myr[2] == r[indPos]))\r\n\t\t\t   .filter(myr => (myr[1] == r[indChr]))\r\n\t\t\t// remove 23 variants that don't match pgs effect or other allele    \r\n\t\t\t   .filter(myr => regexPattern.test(myr[indGenotype])) \r\n    \r\n\t\t\tif (dtMatch_i.length > 0) {\r\n\t\t\t\tdtMatch.push(dtMatch_i.concat([r]))\r\n\t\t\t}\r\n\t\t} \r\n\t\t\tdata2.pgsMatchMy23 = dtMatch\r\n\t\t\tlet calcRiskScore = []\r\n\t\t\tlet alleles = []\r\n\t\t\t// calculate Risk\r\n\t\t\tlet logR = 0\r\n\t\t\t// log(0)=1\r\n\t\t\tlet ind_effect_weight = mypgs.cols.indexOf('effect_weight')\r\n\t\t\tdtMatch.forEach((m, i) => {\r\n\t\t\t\tcalcRiskScore[i] = 0\r\n\t\t\t\t// default no risk\r\n\t\t\t\talleles[i] = 0\r\n\t\t\t\t// default no alele\r\n\t\t\t\tlet mi = m[0][3].match(/^[ACGT]{2}$/)\r\n\t\t\t\t// we'll only consider duplets in the 23adme report\r\n\t\t\t\tif (mi) {\r\n\t\t\t\t\t//'effect_allele', 'other_allele', 'effect_weight'\r\n\t\t\t\t\tmi = mi[0]\r\n\t\t\t\t\t// 23andme match\r\n\t\t\t\t\tlet pi = m.at(-1)\r\n\t\t\t\t\t//pgs match\r\n\t\t\t\t\tlet alele = pi[indEffect_allele]\r\n\t\t\t\t\tlet L = mi.match(RegExp(alele, 'g'))\r\n\t\t\t\t\t// how many, 0,1, or 2\r\n\t\t\t\t\tif (L) {\r\n\t\t\t\t\t\tL = L.length\r\n\t\t\t\t\t\tcalcRiskScore[i] = L * pi[ind_effect_weight]\r\n\t\t\t\t\t\talleles[i] = L\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t})\r\n\t\t\tdata2.pgs_id = mypgs.meta.pgs_id\r\n\t\t\tdata2.alleles = alleles\r\n\t\t\tdata2.calcRiskScore = calcRiskScore\r\n\t\t\t// Weight type comes from the scoring file metadata only; it is never inferred\r\n\t\t\t// from the magnitude or sign of the weights. \"NR\" = not reported.\r\n\t\t\tdata2.weightType = mypgs.meta?.weight_type ?? \"NR\"\r\n\t\t\t// PRS_i = sum_j G_ij * w_j on the scale of the original model (no exponentiation,\r\n\t\t\t// no normalization, unmatched variants simply omitted).\r\n\t\t\tdata2.PRS = dtMatch.length > 0 ? calcRiskScore.reduce((a, b) => a + b, 0) : null\r\n\t\t\tconst weight_idx = mypgs.cols.indexOf('effect_weight')\r\n\t\t\tconst absWeight = (w) => { const n = Number(w); return Number.isFinite(n) ? Math.abs(n) : 0 }\r\n\t\t\tconst totalAbsWeight = mypgs.dt.reduce((s, row) => s + absWeight(row[weight_idx]), 0)\r\n\t\t\tconst matchedAbsWeight = dtMatch.reduce((s, m) => s + absWeight(m.at(-1)[weight_idx]), 0)\r\n\t\t\tdata2.totalVariants = mypgs.dt.length\r\n\t\t\tdata2.matchedVariants = dtMatch.length\r\n\t\t\tdata2.unmatchedVariants = mypgs.dt.length - dtMatch.length\r\n\t\t\tdata2.matchPercent = mypgs.dt.length > 0 ? (dtMatch.length / mypgs.dt.length) * 100 : null\r\n\t\t\t// Fraction of the model's total absolute effect weight represented by matched variants.\r\n\t\t\tdata2.weightCoverage = totalAbsWeight > 0 ? matchedAbsWeight / totalAbsWeight : null\r\n  \r\n  return data2\r\n  }\r\n  \r\nfunction MatchOptimized(mypgs, my23) {\r\n  // Defensive checks\r\n  if (!mypgs || !mypgs.cols || !Array.isArray(mypgs.cols)) {\r\n    console.error(\"MatchOptimized error: invalid mypgs structure\", mypgs);\r\n    return { pgs_id: mypgs && mypgs.meta && mypgs.meta.pgs_id, PRS: null, error: \"Invalid PGS data structure\" };\r\n  }\r\n  if (!my23 || !my23.cols || !Array.isArray(my23.cols)) {\r\n    console.error(\"MatchOptimized error: invalid my23 structure\", my23);\r\n    return { pgs_id: mypgs && mypgs.meta && mypgs.meta.pgs_id, PRS: null, error: \"Invalid genome data structure\" };\r\n  }\r\n\r\n  const indChr = mypgs.cols.indexOf('hm_chr');\r\n  const indPos = mypgs.cols.indexOf('hm_pos');\r\n  const indOtherAllele = mypgs.cols.indexOf('other_allele');\r\n  const indEffectAllele = mypgs.cols.indexOf('effect_allele');\r\n  const indEffectWeight = mypgs.cols.indexOf('effect_weight');\r\n\r\n  const ind23Chr = my23.cols.indexOf('chromosome') !== -1 ? my23.cols.indexOf('chromosome') : 1;\r\n  const ind23Pos = my23.cols.indexOf('position') !== -1 ? my23.cols.indexOf('position') : 2;\r\n  const ind23Genotype = my23.cols.indexOf('genotype');\r\n  const ind23Rsid = my23.cols.indexOf('rsid') !== -1 ? my23.cols.indexOf('rsid') : 0;\r\n\r\n  let data2 = {};\r\n  let dtMatch = [];\r\n  // Parallel to dtMatch: 'allele' when the genotype carries the effect or other allele,\r\n  // 'position' when only chr:pos lined up. Position-only entries always score 0 alleles.\r\n  let matchType = [];\r\n\r\n  const isCalledDuplet = (g) => typeof g === 'string' && /^[ACGT]{2}$/.test(g);\r\n  const isRsProbe = (id) => typeof id === 'string' && /^rs/i.test(id);\r\n  // Order-insensitive genotype key: \"AG\" and \"GA\" are the same unordered diploid call.\r\n  const genotypeKey = (g) => g.split('').sort().join('');\r\n\r\n  // Resolve duplicate probes at a single locus with deterministic precedence rather\r\n  // than a first-encountered rule:\r\n  //   1. called ACGT duplets beat no-calls (\"--\", \"II\", haploid calls),\r\n  //   2. rsID-labeled probes beat vendor-internal `i`-probes,\r\n  //   3. surviving candidates must agree on the (unordered) genotype; disagreement is\r\n  //      an unresolved conflict and the locus is treated as missing.\r\n  // Ties are broken by lexicographic probe id so the representative row is stable\r\n  // regardless of file order. Returns { row, status } with status\r\n  // 'called' | 'noCall' | 'conflict'.\r\n  const resolveLocusRows = (rows) => {\r\n    if (rows.length === 1) {\r\n      return { row: rows[0], status: isCalledDuplet(rows[0][ind23Genotype]) ? 'called' : 'noCall' };\r\n    }\r\n    const byId = (a, b) => String(a[ind23Rsid]).localeCompare(String(b[ind23Rsid]));\r\n    const called = rows.filter(r => isCalledDuplet(r[ind23Genotype]));\r\n    if (called.length === 0) {\r\n      // No probe produced a usable call: the locus cannot contribute to direct\r\n      // scoring; keep a representative row (rsID preferred) for accounting.\r\n      const rep = [...rows].sort(byId).find(r => isRsProbe(r[ind23Rsid])) || [...rows].sort(byId)[0];\r\n      return { row: rep, status: 'noCall' };\r\n    }\r\n    const rsCalled = called.filter(r => isRsProbe(r[ind23Rsid]));\r\n    const candidates = (rsCalled.length > 0 ? rsCalled : called).sort(byId);\r\n    const genotypes = new Set(candidates.map(r => genotypeKey(String(r[ind23Genotype]))));\r\n    return { row: candidates[0], status: genotypes.size > 1 ? 'conflict' : 'called' };\r\n  };\r\n\r\n  // Build a lookup index once: key = \"chr:pos\" -> all genome rows at that locus.\r\n  const genomeIndex = new Map();\r\n  const genomeRowCount = Array.isArray(my23.dt) ? my23.dt.length : 0;\r\n  for (const row of my23.dt) {\r\n    const key = `${row[ind23Chr]}:${row[ind23Pos]}`;\r\n    if (!genomeIndex.has(key)) {\r\n      //console.log(`Adding new key to genomeIndex: ${key}`);\r\n      genomeIndex.set(key, []);\r\n    }\r\n    genomeIndex.get(key).push(row);\r\n  }\r\n  // Collapse each locus to a single deterministically resolved probe row.\r\n  for (const [key, rows] of genomeIndex) {\r\n    genomeIndex.set(key, resolveLocusRows(rows));\r\n  }\r\n\r\n  // For each PGS row, do O(1) key lookup against the resolved locus.\r\n  const pgsRowCount = Array.isArray(mypgs.dt) ? mypgs.dt.length : 0;\r\n  // Reasons a model variant never contributes to the score.\r\n  let positionAbsent = 0;      // locus not present in the genome file\r\n  let noCall = 0;              // locus genotyped but no probe produced an ACGT duplet (\"--\", \"II\", haploid)\r\n  let genotypeConflict = 0;    // duplicate probes disagree after precedence rules; treated as missing\r\n  let alleleIncompatible = 0;  // valid call, but it carries neither the effect nor the other allele\r\n  for (let i = 0; i < pgsRowCount; i++) {\r\n    const r = mypgs.dt[i];\r\n    const key = `${r[indChr]}:${r[indPos]}`;\r\n    const resolved = genomeIndex.get(key);\r\n    if (!resolved) { positionAbsent++; continue; }\r\n    const { row: locusRow, status } = resolved;\r\n\r\n    // Keep position-only matches as well: the locus was genotyped, but the call carries\r\n    // neither the effect nor the other allele (strand flip, no-call \"--\", indel, third\r\n    // allele) or the duplicate probes conflict. Dropping them hid genotyped loci that\r\n    // legitimately contribute 0 alleles.\r\n    let isAlleleMatch = false;\r\n    if (status === 'called') {\r\n      const regexPattern = new RegExp([r[indEffectAllele], r[indOtherAllele]].join('|'));\r\n      isAlleleMatch = regexPattern.test(locusRow[ind23Genotype]);\r\n      if (!isAlleleMatch) alleleIncompatible++;\r\n    } else if (status === 'conflict') {\r\n      genotypeConflict++;\r\n    } else {\r\n      noCall++;\r\n    }\r\n    dtMatch.push([locusRow, r]);\r\n    matchType.push(isAlleleMatch ? 'allele' : 'position');\r\n  }\r\n\r\n  data2.pgsMatchMy23 = dtMatch;\r\n  data2.matchType = matchType;\r\n  data2.alleleMatchCount = matchType.filter(t => t === 'allele').length;\r\n  data2.positionOnlyCount = matchType.length - data2.alleleMatchCount;\r\n\r\n  let calcRiskScore = [];\r\n  let alleles = [];\r\n\r\n  dtMatch.forEach((m, i) => {\r\n    calcRiskScore[i] = 0;\r\n    alleles[i] = 0;\r\n\r\n    // Only allele-level matches score; position-only entries (no-call, unresolved\r\n    // duplicate-probe conflict, incompatible alleles) contribute a dosage of 0.\r\n    if (matchType[i] !== 'allele') return;\r\n\r\n    const genotype = m[0]?.[ind23Genotype];\r\n    let mi = typeof genotype === 'string' ? genotype.match(/^[ACGT]{2}$/) : null;\r\n\r\n    if (mi) {\r\n      mi = mi[0];\r\n      const pi = m.at(-1);\r\n      const allele = pi[indEffectAllele];\r\n      let L = mi.match(RegExp(allele, 'g'));\r\n      if (L) {\r\n        L = L.length;\r\n        calcRiskScore[i] = L * pi[indEffectWeight];\r\n        alleles[i] = L;\r\n      }\r\n    }\r\n  });\r\n\r\n  data2.pgs_id = mypgs.meta?.pgs_id;\r\n  data2.alleles = alleles;\r\n  data2.calcRiskScore = calcRiskScore;\r\n\r\n  // Weight type is carried through as model metadata (PGS Catalog `#weight_type=`).\r\n  // It is never inferred from the magnitude or the sign of the weights; \"NR\" means the\r\n  // scoring file did not report one.\r\n  data2.weightType = mypgs.meta?.weight_type ?? \"NR\";\r\n\r\n  // Score on the scale defined by the original PGS model:\r\n  //   PRS_i = sum_j G_ij * w_j   over matched variants j\r\n  // G in {0,1,2} is the effect-allele dosage and w is the reported `effect_weight`.\r\n  // No exponentiation is applied, the score is not normalized against a population\r\n  // reference, and unmatched variants are simply omitted from the summation (no\r\n  // reference-allele or mean-dosage substitution).\r\n  const scoreSum = calcRiskScore.reduce((a, b) => a + b, 0);\r\n  data2.PRS = data2.alleleMatchCount > 0 ? scoreSum : null;\r\n\r\n  // Per sample-model accounting.\r\n  const absWeight = (w) => { const n = Number(w); return Number.isFinite(n) ? Math.abs(n) : 0; };\r\n  const totalAbsWeight = mypgs.dt.reduce((s, row) => s + absWeight(row[indEffectWeight]), 0);\r\n  const matchedAbsWeight = dtMatch.reduce((s, m, i) =>\r\n    matchType[i] === 'allele' ? s + absWeight(m.at(-1)[indEffectWeight]) : s, 0);\r\n\r\n  data2.totalVariants = pgsRowCount;\r\n  data2.matchedVariants = data2.alleleMatchCount;\r\n  data2.unmatchedVariants = pgsRowCount - data2.alleleMatchCount;\r\n  // Unresolved duplicate-probe conflicts are treated as missing genotypes: they\r\n  // cannot contribute to direct scoring, reducing recoverable model coverage.\r\n  data2.missingGenotypes = positionAbsent + noCall + genotypeConflict;\r\n  data2.unmatchedReasons = { positionAbsent, noCall, genotypeConflict, alleleIncompatible };\r\n  data2.matchPercent = pgsRowCount > 0 ? (data2.alleleMatchCount / pgsRowCount) * 100 : null;\r\n  // Fraction of the model's total absolute effect weight represented by matched variants.\r\n  data2.weightCoverage = totalAbsWeight > 0 ? matchedAbsWeight / totalAbsWeight : null;\r\n\r\n  data2.complexity = {\r\n    bigO: 'O(n + m)',\r\n    hashIndexOps: genomeRowCount + pgsRowCount,\r\n    nestedScanOps: genomeRowCount * pgsRowCount,\r\n    genomeRows: genomeRowCount,\r\n    pgsRows: pgsRowCount\r\n  };\r\n\r\n  return data2;\r\n}\r\n\r\n\r\nexport {\r\n\tMatch2,\r\n\tMatchOptimized\r\n}\r\n","var commonjsGlobal = typeof globalThis !== 'undefined' ? globalThis : typeof window !== 'undefined' ? window : typeof global !== 'undefined' ? global : typeof self !== 'undefined' ? self : {};\n\nfunction getDefaultExportFromCjs (x) {\n\treturn x && x.__esModule && Object.prototype.hasOwnProperty.call(x, 'default') ? x['default'] : x;\n}\n\nfunction commonjsRequire(path) {\n\tthrow new Error('Could not dynamically require \"' + path + '\". Please configure the dynamicRequireTargets or/and ignoreDynamicRequires option of @rollup/plugin-commonjs appropriately for this require call to work.');\n}\n\nvar localforage$1 = {exports: {}};\n\n/*!\n    localForage -- Offline Storage, Improved\n    Version 1.10.0\n    https://localforage.github.io/localForage\n    (c) 2013-2017 Mozilla, Apache License 2.0\n*/\n\nvar hasRequiredLocalforage;\n\nfunction requireLocalforage () {\n\tif (hasRequiredLocalforage) return localforage$1.exports;\n\thasRequiredLocalforage = 1;\n\t(function (module, exports$1) {\n\t\t(function(f){{module.exports=f();}})(function(){return (function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof commonjsRequire==\"function\"&&commonjsRequire;if(!u&&a)return a(o,true);if(i)return i(o,true);var f=new Error(\"Cannot find module '\"+o+\"'\");throw (f.code=\"MODULE_NOT_FOUND\", f)}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r);}return n[o].exports}var i=typeof commonjsRequire==\"function\"&&commonjsRequire;for(var o=0;o<r.length;o++)s(r[o]);return s})({1:[function(_dereq_,module,exports$1){\n\t\t(function (global){\n\t\tvar Mutation = global.MutationObserver || global.WebKitMutationObserver;\n\n\t\tvar scheduleDrain;\n\n\t\t{\n\t\t  if (Mutation) {\n\t\t    var called = 0;\n\t\t    var observer = new Mutation(nextTick);\n\t\t    var element = global.document.createTextNode('');\n\t\t    observer.observe(element, {\n\t\t      characterData: true\n\t\t    });\n\t\t    scheduleDrain = function () {\n\t\t      element.data = (called = ++called % 2);\n\t\t    };\n\t\t  } else if (!global.setImmediate && typeof global.MessageChannel !== 'undefined') {\n\t\t    var channel = new global.MessageChannel();\n\t\t    channel.port1.onmessage = nextTick;\n\t\t    scheduleDrain = function () {\n\t\t      channel.port2.postMessage(0);\n\t\t    };\n\t\t  } else if ('document' in global && 'onreadystatechange' in global.document.createElement('script')) {\n\t\t    scheduleDrain = function () {\n\n\t\t      // Create a <script> element; its readystatechange event will be fired asynchronously once it is inserted\n\t\t      // into the document. Do so, thus queuing up the task. Remember to clean up once it's been called.\n\t\t      var scriptEl = global.document.createElement('script');\n\t\t      scriptEl.onreadystatechange = function () {\n\t\t        nextTick();\n\n\t\t        scriptEl.onreadystatechange = null;\n\t\t        scriptEl.parentNode.removeChild(scriptEl);\n\t\t        scriptEl = null;\n\t\t      };\n\t\t      global.document.documentElement.appendChild(scriptEl);\n\t\t    };\n\t\t  } else {\n\t\t    scheduleDrain = function () {\n\t\t      setTimeout(nextTick, 0);\n\t\t    };\n\t\t  }\n\t\t}\n\n\t\tvar draining;\n\t\tvar queue = [];\n\t\t//named nextTick for less confusing stack traces\n\t\tfunction nextTick() {\n\t\t  draining = true;\n\t\t  var i, oldQueue;\n\t\t  var len = queue.length;\n\t\t  while (len) {\n\t\t    oldQueue = queue;\n\t\t    queue = [];\n\t\t    i = -1;\n\t\t    while (++i < len) {\n\t\t      oldQueue[i]();\n\t\t    }\n\t\t    len = queue.length;\n\t\t  }\n\t\t  draining = false;\n\t\t}\n\n\t\tmodule.exports = immediate;\n\t\tfunction immediate(task) {\n\t\t  if (queue.push(task) === 1 && !draining) {\n\t\t    scheduleDrain();\n\t\t  }\n\t\t}\n\n\t\t}).call(this,typeof commonjsGlobal !== \"undefined\" ? commonjsGlobal : typeof self !== \"undefined\" ? self : typeof window !== \"undefined\" ? window : {});\n\t\t},{}],2:[function(_dereq_,module,exports$1){\n\t\tvar immediate = _dereq_(1);\n\n\t\t/* istanbul ignore next */\n\t\tfunction INTERNAL() {}\n\n\t\tvar handlers = {};\n\n\t\tvar REJECTED = ['REJECTED'];\n\t\tvar FULFILLED = ['FULFILLED'];\n\t\tvar PENDING = ['PENDING'];\n\n\t\tmodule.exports = Promise;\n\n\t\tfunction Promise(resolver) {\n\t\t  if (typeof resolver !== 'function') {\n\t\t    throw new TypeError('resolver must be a function');\n\t\t  }\n\t\t  this.state = PENDING;\n\t\t  this.queue = [];\n\t\t  this.outcome = void 0;\n\t\t  if (resolver !== INTERNAL) {\n\t\t    safelyResolveThenable(this, resolver);\n\t\t  }\n\t\t}\n\n\t\tPromise.prototype[\"catch\"] = function (onRejected) {\n\t\t  return this.then(null, onRejected);\n\t\t};\n\t\tPromise.prototype.then = function (onFulfilled, onRejected) {\n\t\t  if (typeof onFulfilled !== 'function' && this.state === FULFILLED ||\n\t\t    typeof onRejected !== 'function' && this.state === REJECTED) {\n\t\t    return this;\n\t\t  }\n\t\t  var promise = new this.constructor(INTERNAL);\n\t\t  if (this.state !== PENDING) {\n\t\t    var resolver = this.state === FULFILLED ? onFulfilled : onRejected;\n\t\t    unwrap(promise, resolver, this.outcome);\n\t\t  } else {\n\t\t    this.queue.push(new QueueItem(promise, onFulfilled, onRejected));\n\t\t  }\n\n\t\t  return promise;\n\t\t};\n\t\tfunction QueueItem(promise, onFulfilled, onRejected) {\n\t\t  this.promise = promise;\n\t\t  if (typeof onFulfilled === 'function') {\n\t\t    this.onFulfilled = onFulfilled;\n\t\t    this.callFulfilled = this.otherCallFulfilled;\n\t\t  }\n\t\t  if (typeof onRejected === 'function') {\n\t\t    this.onRejected = onRejected;\n\t\t    this.callRejected = this.otherCallRejected;\n\t\t  }\n\t\t}\n\t\tQueueItem.prototype.callFulfilled = function (value) {\n\t\t  handlers.resolve(this.promise, value);\n\t\t};\n\t\tQueueItem.prototype.otherCallFulfilled = function (value) {\n\t\t  unwrap(this.promise, this.onFulfilled, value);\n\t\t};\n\t\tQueueItem.prototype.callRejected = function (value) {\n\t\t  handlers.reject(this.promise, value);\n\t\t};\n\t\tQueueItem.prototype.otherCallRejected = function (value) {\n\t\t  unwrap(this.promise, this.onRejected, value);\n\t\t};\n\n\t\tfunction unwrap(promise, func, value) {\n\t\t  immediate(function () {\n\t\t    var returnValue;\n\t\t    try {\n\t\t      returnValue = func(value);\n\t\t    } catch (e) {\n\t\t      return handlers.reject(promise, e);\n\t\t    }\n\t\t    if (returnValue === promise) {\n\t\t      handlers.reject(promise, new TypeError('Cannot resolve promise with itself'));\n\t\t    } else {\n\t\t      handlers.resolve(promise, returnValue);\n\t\t    }\n\t\t  });\n\t\t}\n\n\t\thandlers.resolve = function (self, value) {\n\t\t  var result = tryCatch(getThen, value);\n\t\t  if (result.status === 'error') {\n\t\t    return handlers.reject(self, result.value);\n\t\t  }\n\t\t  var thenable = result.value;\n\n\t\t  if (thenable) {\n\t\t    safelyResolveThenable(self, thenable);\n\t\t  } else {\n\t\t    self.state = FULFILLED;\n\t\t    self.outcome = value;\n\t\t    var i = -1;\n\t\t    var len = self.queue.length;\n\t\t    while (++i < len) {\n\t\t      self.queue[i].callFulfilled(value);\n\t\t    }\n\t\t  }\n\t\t  return self;\n\t\t};\n\t\thandlers.reject = function (self, error) {\n\t\t  self.state = REJECTED;\n\t\t  self.outcome = error;\n\t\t  var i = -1;\n\t\t  var len = self.queue.length;\n\t\t  while (++i < len) {\n\t\t    self.queue[i].callRejected(error);\n\t\t  }\n\t\t  return self;\n\t\t};\n\n\t\tfunction getThen(obj) {\n\t\t  // Make sure we only access the accessor once as required by the spec\n\t\t  var then = obj && obj.then;\n\t\t  if (obj && (typeof obj === 'object' || typeof obj === 'function') && typeof then === 'function') {\n\t\t    return function appyThen() {\n\t\t      then.apply(obj, arguments);\n\t\t    };\n\t\t  }\n\t\t}\n\n\t\tfunction safelyResolveThenable(self, thenable) {\n\t\t  // Either fulfill, reject or reject with error\n\t\t  var called = false;\n\t\t  function onError(value) {\n\t\t    if (called) {\n\t\t      return;\n\t\t    }\n\t\t    called = true;\n\t\t    handlers.reject(self, value);\n\t\t  }\n\n\t\t  function onSuccess(value) {\n\t\t    if (called) {\n\t\t      return;\n\t\t    }\n\t\t    called = true;\n\t\t    handlers.resolve(self, value);\n\t\t  }\n\n\t\t  function tryToUnwrap() {\n\t\t    thenable(onSuccess, onError);\n\t\t  }\n\n\t\t  var result = tryCatch(tryToUnwrap);\n\t\t  if (result.status === 'error') {\n\t\t    onError(result.value);\n\t\t  }\n\t\t}\n\n\t\tfunction tryCatch(func, value) {\n\t\t  var out = {};\n\t\t  try {\n\t\t    out.value = func(value);\n\t\t    out.status = 'success';\n\t\t  } catch (e) {\n\t\t    out.status = 'error';\n\t\t    out.value = e;\n\t\t  }\n\t\t  return out;\n\t\t}\n\n\t\tPromise.resolve = resolve;\n\t\tfunction resolve(value) {\n\t\t  if (value instanceof this) {\n\t\t    return value;\n\t\t  }\n\t\t  return handlers.resolve(new this(INTERNAL), value);\n\t\t}\n\n\t\tPromise.reject = reject;\n\t\tfunction reject(reason) {\n\t\t  var promise = new this(INTERNAL);\n\t\t  return handlers.reject(promise, reason);\n\t\t}\n\n\t\tPromise.all = all;\n\t\tfunction all(iterable) {\n\t\t  var self = this;\n\t\t  if (Object.prototype.toString.call(iterable) !== '[object Array]') {\n\t\t    return this.reject(new TypeError('must be an array'));\n\t\t  }\n\n\t\t  var len = iterable.length;\n\t\t  var called = false;\n\t\t  if (!len) {\n\t\t    return this.resolve([]);\n\t\t  }\n\n\t\t  var values = new Array(len);\n\t\t  var resolved = 0;\n\t\t  var i = -1;\n\t\t  var promise = new this(INTERNAL);\n\n\t\t  while (++i < len) {\n\t\t    allResolver(iterable[i], i);\n\t\t  }\n\t\t  return promise;\n\t\t  function allResolver(value, i) {\n\t\t    self.resolve(value).then(resolveFromAll, function (error) {\n\t\t      if (!called) {\n\t\t        called = true;\n\t\t        handlers.reject(promise, error);\n\t\t      }\n\t\t    });\n\t\t    function resolveFromAll(outValue) {\n\t\t      values[i] = outValue;\n\t\t      if (++resolved === len && !called) {\n\t\t        called = true;\n\t\t        handlers.resolve(promise, values);\n\t\t      }\n\t\t    }\n\t\t  }\n\t\t}\n\n\t\tPromise.race = race;\n\t\tfunction race(iterable) {\n\t\t  var self = this;\n\t\t  if (Object.prototype.toString.call(iterable) !== '[object Array]') {\n\t\t    return this.reject(new TypeError('must be an array'));\n\t\t  }\n\n\t\t  var len = iterable.length;\n\t\t  var called = false;\n\t\t  if (!len) {\n\t\t    return this.resolve([]);\n\t\t  }\n\n\t\t  var i = -1;\n\t\t  var promise = new this(INTERNAL);\n\n\t\t  while (++i < len) {\n\t\t    resolver(iterable[i]);\n\t\t  }\n\t\t  return promise;\n\t\t  function resolver(value) {\n\t\t    self.resolve(value).then(function (response) {\n\t\t      if (!called) {\n\t\t        called = true;\n\t\t        handlers.resolve(promise, response);\n\t\t      }\n\t\t    }, function (error) {\n\t\t      if (!called) {\n\t\t        called = true;\n\t\t        handlers.reject(promise, error);\n\t\t      }\n\t\t    });\n\t\t  }\n\t\t}\n\n\t\t},{\"1\":1}],3:[function(_dereq_,module,exports$1){\n\t\t(function (global){\n\t\tif (typeof global.Promise !== 'function') {\n\t\t  global.Promise = _dereq_(2);\n\t\t}\n\n\t\t}).call(this,typeof commonjsGlobal !== \"undefined\" ? commonjsGlobal : typeof self !== \"undefined\" ? self : typeof window !== \"undefined\" ? window : {});\n\t\t},{\"2\":2}],4:[function(_dereq_,module,exports$1){\n\n\t\tvar _typeof = typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj; };\n\n\t\tfunction _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError(\"Cannot call a class as a function\"); } }\n\n\t\tfunction getIDB() {\n\t\t    /* global indexedDB,webkitIndexedDB,mozIndexedDB,OIndexedDB,msIndexedDB */\n\t\t    try {\n\t\t        if (typeof indexedDB !== 'undefined') {\n\t\t            return indexedDB;\n\t\t        }\n\t\t        if (typeof webkitIndexedDB !== 'undefined') {\n\t\t            return webkitIndexedDB;\n\t\t        }\n\t\t        if (typeof mozIndexedDB !== 'undefined') {\n\t\t            return mozIndexedDB;\n\t\t        }\n\t\t        if (typeof OIndexedDB !== 'undefined') {\n\t\t            return OIndexedDB;\n\t\t        }\n\t\t        if (typeof msIndexedDB !== 'undefined') {\n\t\t            return msIndexedDB;\n\t\t        }\n\t\t    } catch (e) {\n\t\t        return;\n\t\t    }\n\t\t}\n\n\t\tvar idb = getIDB();\n\n\t\tfunction isIndexedDBValid() {\n\t\t    try {\n\t\t        // Initialize IndexedDB; fall back to vendor-prefixed versions\n\t\t        // if needed.\n\t\t        if (!idb || !idb.open) {\n\t\t            return false;\n\t\t        }\n\t\t        // We mimic PouchDB here;\n\t\t        //\n\t\t        // We test for openDatabase because IE Mobile identifies itself\n\t\t        // as Safari. Oh the lulz...\n\t\t        var isSafari = typeof openDatabase !== 'undefined' && /(Safari|iPhone|iPad|iPod)/.test(navigator.userAgent) && !/Chrome/.test(navigator.userAgent) && !/BlackBerry/.test(navigator.platform);\n\n\t\t        var hasFetch = typeof fetch === 'function' && fetch.toString().indexOf('[native code') !== -1;\n\n\t\t        // Safari <10.1 does not meet our requirements for IDB support\n\t\t        // (see: https://github.com/pouchdb/pouchdb/issues/5572).\n\t\t        // Safari 10.1 shipped with fetch, we can use that to detect it.\n\t\t        // Note: this creates issues with `window.fetch` polyfills and\n\t\t        // overrides; see:\n\t\t        // https://github.com/localForage/localForage/issues/856\n\t\t        return (!isSafari || hasFetch) && typeof indexedDB !== 'undefined' &&\n\t\t        // some outdated implementations of IDB that appear on Samsung\n\t\t        // and HTC Android devices <4.4 are missing IDBKeyRange\n\t\t        // See: https://github.com/mozilla/localForage/issues/128\n\t\t        // See: https://github.com/mozilla/localForage/issues/272\n\t\t        typeof IDBKeyRange !== 'undefined';\n\t\t    } catch (e) {\n\t\t        return false;\n\t\t    }\n\t\t}\n\n\t\t// Abstracts constructing a Blob object, so it also works in older\n\t\t// browsers that don't support the native Blob constructor. (i.e.\n\t\t// old QtWebKit versions, at least).\n\t\t// Abstracts constructing a Blob object, so it also works in older\n\t\t// browsers that don't support the native Blob constructor. (i.e.\n\t\t// old QtWebKit versions, at least).\n\t\tfunction createBlob(parts, properties) {\n\t\t    /* global BlobBuilder,MSBlobBuilder,MozBlobBuilder,WebKitBlobBuilder */\n\t\t    parts = parts || [];\n\t\t    properties = properties || {};\n\t\t    try {\n\t\t        return new Blob(parts, properties);\n\t\t    } catch (e) {\n\t\t        if (e.name !== 'TypeError') {\n\t\t            throw e;\n\t\t        }\n\t\t        var Builder = typeof BlobBuilder !== 'undefined' ? BlobBuilder : typeof MSBlobBuilder !== 'undefined' ? MSBlobBuilder : typeof MozBlobBuilder !== 'undefined' ? MozBlobBuilder : WebKitBlobBuilder;\n\t\t        var builder = new Builder();\n\t\t        for (var i = 0; i < parts.length; i += 1) {\n\t\t            builder.append(parts[i]);\n\t\t        }\n\t\t        return builder.getBlob(properties.type);\n\t\t    }\n\t\t}\n\n\t\t// This is CommonJS because lie is an external dependency, so Rollup\n\t\t// can just ignore it.\n\t\tif (typeof Promise === 'undefined') {\n\t\t    // In the \"nopromises\" build this will just throw if you don't have\n\t\t    // a global promise object, but it would throw anyway later.\n\t\t    _dereq_(3);\n\t\t}\n\t\tvar Promise$1 = Promise;\n\n\t\tfunction executeCallback(promise, callback) {\n\t\t    if (callback) {\n\t\t        promise.then(function (result) {\n\t\t            callback(null, result);\n\t\t        }, function (error) {\n\t\t            callback(error);\n\t\t        });\n\t\t    }\n\t\t}\n\n\t\tfunction executeTwoCallbacks(promise, callback, errorCallback) {\n\t\t    if (typeof callback === 'function') {\n\t\t        promise.then(callback);\n\t\t    }\n\n\t\t    if (typeof errorCallback === 'function') {\n\t\t        promise[\"catch\"](errorCallback);\n\t\t    }\n\t\t}\n\n\t\tfunction normalizeKey(key) {\n\t\t    // Cast the key to a string, as that's all we can set as a key.\n\t\t    if (typeof key !== 'string') {\n\t\t        console.warn(key + ' used as a key, but it is not a string.');\n\t\t        key = String(key);\n\t\t    }\n\n\t\t    return key;\n\t\t}\n\n\t\tfunction getCallback() {\n\t\t    if (arguments.length && typeof arguments[arguments.length - 1] === 'function') {\n\t\t        return arguments[arguments.length - 1];\n\t\t    }\n\t\t}\n\n\t\t// Some code originally from async_storage.js in\n\t\t// [Gaia](https://github.com/mozilla-b2g/gaia).\n\n\t\tvar DETECT_BLOB_SUPPORT_STORE = 'local-forage-detect-blob-support';\n\t\tvar supportsBlobs = void 0;\n\t\tvar dbContexts = {};\n\t\tvar toString = Object.prototype.toString;\n\n\t\t// Transaction Modes\n\t\tvar READ_ONLY = 'readonly';\n\t\tvar READ_WRITE = 'readwrite';\n\n\t\t// Transform a binary string to an array buffer, because otherwise\n\t\t// weird stuff happens when you try to work with the binary string directly.\n\t\t// It is known.\n\t\t// From http://stackoverflow.com/questions/14967647/ (continues on next line)\n\t\t// encode-decode-image-with-base64-breaks-image (2013-04-21)\n\t\tfunction _binStringToArrayBuffer(bin) {\n\t\t    var length = bin.length;\n\t\t    var buf = new ArrayBuffer(length);\n\t\t    var arr = new Uint8Array(buf);\n\t\t    for (var i = 0; i < length; i++) {\n\t\t        arr[i] = bin.charCodeAt(i);\n\t\t    }\n\t\t    return buf;\n\t\t}\n\n\t\t//\n\t\t// Blobs are not supported in all versions of IndexedDB, notably\n\t\t// Chrome <37 and Android <5. In those versions, storing a blob will throw.\n\t\t//\n\t\t// Various other blob bugs exist in Chrome v37-42 (inclusive).\n\t\t// Detecting them is expensive and confusing to users, and Chrome 37-42\n\t\t// is at very low usage worldwide, so we do a hacky userAgent check instead.\n\t\t//\n\t\t// content-type bug: https://code.google.com/p/chromium/issues/detail?id=408120\n\t\t// 404 bug: https://code.google.com/p/chromium/issues/detail?id=447916\n\t\t// FileReader bug: https://code.google.com/p/chromium/issues/detail?id=447836\n\t\t//\n\t\t// Code borrowed from PouchDB. See:\n\t\t// https://github.com/pouchdb/pouchdb/blob/master/packages/node_modules/pouchdb-adapter-idb/src/blobSupport.js\n\t\t//\n\t\tfunction _checkBlobSupportWithoutCaching(idb) {\n\t\t    return new Promise$1(function (resolve) {\n\t\t        var txn = idb.transaction(DETECT_BLOB_SUPPORT_STORE, READ_WRITE);\n\t\t        var blob = createBlob(['']);\n\t\t        txn.objectStore(DETECT_BLOB_SUPPORT_STORE).put(blob, 'key');\n\n\t\t        txn.onabort = function (e) {\n\t\t            // If the transaction aborts now its due to not being able to\n\t\t            // write to the database, likely due to the disk being full\n\t\t            e.preventDefault();\n\t\t            e.stopPropagation();\n\t\t            resolve(false);\n\t\t        };\n\n\t\t        txn.oncomplete = function () {\n\t\t            var matchedChrome = navigator.userAgent.match(/Chrome\\/(\\d+)/);\n\t\t            var matchedEdge = navigator.userAgent.match(/Edge\\//);\n\t\t            // MS Edge pretends to be Chrome 42:\n\t\t            // https://msdn.microsoft.com/en-us/library/hh869301%28v=vs.85%29.aspx\n\t\t            resolve(matchedEdge || !matchedChrome || parseInt(matchedChrome[1], 10) >= 43);\n\t\t        };\n\t\t    })[\"catch\"](function () {\n\t\t        return false; // error, so assume unsupported\n\t\t    });\n\t\t}\n\n\t\tfunction _checkBlobSupport(idb) {\n\t\t    if (typeof supportsBlobs === 'boolean') {\n\t\t        return Promise$1.resolve(supportsBlobs);\n\t\t    }\n\t\t    return _checkBlobSupportWithoutCaching(idb).then(function (value) {\n\t\t        supportsBlobs = value;\n\t\t        return supportsBlobs;\n\t\t    });\n\t\t}\n\n\t\tfunction _deferReadiness(dbInfo) {\n\t\t    var dbContext = dbContexts[dbInfo.name];\n\n\t\t    // Create a deferred object representing the current database operation.\n\t\t    var deferredOperation = {};\n\n\t\t    deferredOperation.promise = new Promise$1(function (resolve, reject) {\n\t\t        deferredOperation.resolve = resolve;\n\t\t        deferredOperation.reject = reject;\n\t\t    });\n\n\t\t    // Enqueue the deferred operation.\n\t\t    dbContext.deferredOperations.push(deferredOperation);\n\n\t\t    // Chain its promise to the database readiness.\n\t\t    if (!dbContext.dbReady) {\n\t\t        dbContext.dbReady = deferredOperation.promise;\n\t\t    } else {\n\t\t        dbContext.dbReady = dbContext.dbReady.then(function () {\n\t\t            return deferredOperation.promise;\n\t\t        });\n\t\t    }\n\t\t}\n\n\t\tfunction _advanceReadiness(dbInfo) {\n\t\t    var dbContext = dbContexts[dbInfo.name];\n\n\t\t    // Dequeue a deferred operation.\n\t\t    var deferredOperation = dbContext.deferredOperations.pop();\n\n\t\t    // Resolve its promise (which is part of the database readiness\n\t\t    // chain of promises).\n\t\t    if (deferredOperation) {\n\t\t        deferredOperation.resolve();\n\t\t        return deferredOperation.promise;\n\t\t    }\n\t\t}\n\n\t\tfunction _rejectReadiness(dbInfo, err) {\n\t\t    var dbContext = dbContexts[dbInfo.name];\n\n\t\t    // Dequeue a deferred operation.\n\t\t    var deferredOperation = dbContext.deferredOperations.pop();\n\n\t\t    // Reject its promise (which is part of the database readiness\n\t\t    // chain of promises).\n\t\t    if (deferredOperation) {\n\t\t        deferredOperation.reject(err);\n\t\t        return deferredOperation.promise;\n\t\t    }\n\t\t}\n\n\t\tfunction _getConnection(dbInfo, upgradeNeeded) {\n\t\t    return new Promise$1(function (resolve, reject) {\n\t\t        dbContexts[dbInfo.name] = dbContexts[dbInfo.name] || createDbContext();\n\n\t\t        if (dbInfo.db) {\n\t\t            if (upgradeNeeded) {\n\t\t                _deferReadiness(dbInfo);\n\t\t                dbInfo.db.close();\n\t\t            } else {\n\t\t                return resolve(dbInfo.db);\n\t\t            }\n\t\t        }\n\n\t\t        var dbArgs = [dbInfo.name];\n\n\t\t        if (upgradeNeeded) {\n\t\t            dbArgs.push(dbInfo.version);\n\t\t        }\n\n\t\t        var openreq = idb.open.apply(idb, dbArgs);\n\n\t\t        if (upgradeNeeded) {\n\t\t            openreq.onupgradeneeded = function (e) {\n\t\t                var db = openreq.result;\n\t\t                try {\n\t\t                    db.createObjectStore(dbInfo.storeName);\n\t\t                    if (e.oldVersion <= 1) {\n\t\t                        // Added when support for blob shims was added\n\t\t                        db.createObjectStore(DETECT_BLOB_SUPPORT_STORE);\n\t\t                    }\n\t\t                } catch (ex) {\n\t\t                    if (ex.name === 'ConstraintError') {\n\t\t                        console.warn('The database \"' + dbInfo.name + '\"' + ' has been upgraded from version ' + e.oldVersion + ' to version ' + e.newVersion + ', but the storage \"' + dbInfo.storeName + '\" already exists.');\n\t\t                    } else {\n\t\t                        throw ex;\n\t\t                    }\n\t\t                }\n\t\t            };\n\t\t        }\n\n\t\t        openreq.onerror = function (e) {\n\t\t            e.preventDefault();\n\t\t            reject(openreq.error);\n\t\t        };\n\n\t\t        openreq.onsuccess = function () {\n\t\t            var db = openreq.result;\n\t\t            db.onversionchange = function (e) {\n\t\t                // Triggered when the database is modified (e.g. adding an objectStore) or\n\t\t                // deleted (even when initiated by other sessions in different tabs).\n\t\t                // Closing the connection here prevents those operations from being blocked.\n\t\t                // If the database is accessed again later by this instance, the connection\n\t\t                // will be reopened or the database recreated as needed.\n\t\t                e.target.close();\n\t\t            };\n\t\t            resolve(db);\n\t\t            _advanceReadiness(dbInfo);\n\t\t        };\n\t\t    });\n\t\t}\n\n\t\tfunction _getOriginalConnection(dbInfo) {\n\t\t    return _getConnection(dbInfo, false);\n\t\t}\n\n\t\tfunction _getUpgradedConnection(dbInfo) {\n\t\t    return _getConnection(dbInfo, true);\n\t\t}\n\n\t\tfunction _isUpgradeNeeded(dbInfo, defaultVersion) {\n\t\t    if (!dbInfo.db) {\n\t\t        return true;\n\t\t    }\n\n\t\t    var isNewStore = !dbInfo.db.objectStoreNames.contains(dbInfo.storeName);\n\t\t    var isDowngrade = dbInfo.version < dbInfo.db.version;\n\t\t    var isUpgrade = dbInfo.version > dbInfo.db.version;\n\n\t\t    if (isDowngrade) {\n\t\t        // If the version is not the default one\n\t\t        // then warn for impossible downgrade.\n\t\t        if (dbInfo.version !== defaultVersion) {\n\t\t            console.warn('The database \"' + dbInfo.name + '\"' + \" can't be downgraded from version \" + dbInfo.db.version + ' to version ' + dbInfo.version + '.');\n\t\t        }\n\t\t        // Align the versions to prevent errors.\n\t\t        dbInfo.version = dbInfo.db.version;\n\t\t    }\n\n\t\t    if (isUpgrade || isNewStore) {\n\t\t        // If the store is new then increment the version (if needed).\n\t\t        // This will trigger an \"upgradeneeded\" event which is required\n\t\t        // for creating a store.\n\t\t        if (isNewStore) {\n\t\t            var incVersion = dbInfo.db.version + 1;\n\t\t            if (incVersion > dbInfo.version) {\n\t\t                dbInfo.version = incVersion;\n\t\t            }\n\t\t        }\n\n\t\t        return true;\n\t\t    }\n\n\t\t    return false;\n\t\t}\n\n\t\t// encode a blob for indexeddb engines that don't support blobs\n\t\tfunction _encodeBlob(blob) {\n\t\t    return new Promise$1(function (resolve, reject) {\n\t\t        var reader = new FileReader();\n\t\t        reader.onerror = reject;\n\t\t        reader.onloadend = function (e) {\n\t\t            var base64 = btoa(e.target.result || '');\n\t\t            resolve({\n\t\t                __local_forage_encoded_blob: true,\n\t\t                data: base64,\n\t\t                type: blob.type\n\t\t            });\n\t\t        };\n\t\t        reader.readAsBinaryString(blob);\n\t\t    });\n\t\t}\n\n\t\t// decode an encoded blob\n\t\tfunction _decodeBlob(encodedBlob) {\n\t\t    var arrayBuff = _binStringToArrayBuffer(atob(encodedBlob.data));\n\t\t    return createBlob([arrayBuff], { type: encodedBlob.type });\n\t\t}\n\n\t\t// is this one of our fancy encoded blobs?\n\t\tfunction _isEncodedBlob(value) {\n\t\t    return value && value.__local_forage_encoded_blob;\n\t\t}\n\n\t\t// Specialize the default `ready()` function by making it dependent\n\t\t// on the current database operations. Thus, the driver will be actually\n\t\t// ready when it's been initialized (default) *and* there are no pending\n\t\t// operations on the database (initiated by some other instances).\n\t\tfunction _fullyReady(callback) {\n\t\t    var self = this;\n\n\t\t    var promise = self._initReady().then(function () {\n\t\t        var dbContext = dbContexts[self._dbInfo.name];\n\n\t\t        if (dbContext && dbContext.dbReady) {\n\t\t            return dbContext.dbReady;\n\t\t        }\n\t\t    });\n\n\t\t    executeTwoCallbacks(promise, callback, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Try to establish a new db connection to replace the\n\t\t// current one which is broken (i.e. experiencing\n\t\t// InvalidStateError while creating a transaction).\n\t\tfunction _tryReconnect(dbInfo) {\n\t\t    _deferReadiness(dbInfo);\n\n\t\t    var dbContext = dbContexts[dbInfo.name];\n\t\t    var forages = dbContext.forages;\n\n\t\t    for (var i = 0; i < forages.length; i++) {\n\t\t        var forage = forages[i];\n\t\t        if (forage._dbInfo.db) {\n\t\t            forage._dbInfo.db.close();\n\t\t            forage._dbInfo.db = null;\n\t\t        }\n\t\t    }\n\t\t    dbInfo.db = null;\n\n\t\t    return _getOriginalConnection(dbInfo).then(function (db) {\n\t\t        dbInfo.db = db;\n\t\t        if (_isUpgradeNeeded(dbInfo)) {\n\t\t            // Reopen the database for upgrading.\n\t\t            return _getUpgradedConnection(dbInfo);\n\t\t        }\n\t\t        return db;\n\t\t    }).then(function (db) {\n\t\t        // store the latest db reference\n\t\t        // in case the db was upgraded\n\t\t        dbInfo.db = dbContext.db = db;\n\t\t        for (var i = 0; i < forages.length; i++) {\n\t\t            forages[i]._dbInfo.db = db;\n\t\t        }\n\t\t    })[\"catch\"](function (err) {\n\t\t        _rejectReadiness(dbInfo, err);\n\t\t        throw err;\n\t\t    });\n\t\t}\n\n\t\t// FF doesn't like Promises (micro-tasks) and IDDB store operations,\n\t\t// so we have to do it with callbacks\n\t\tfunction createTransaction(dbInfo, mode, callback, retries) {\n\t\t    if (retries === undefined) {\n\t\t        retries = 1;\n\t\t    }\n\n\t\t    try {\n\t\t        var tx = dbInfo.db.transaction(dbInfo.storeName, mode);\n\t\t        callback(null, tx);\n\t\t    } catch (err) {\n\t\t        if (retries > 0 && (!dbInfo.db || err.name === 'InvalidStateError' || err.name === 'NotFoundError')) {\n\t\t            return Promise$1.resolve().then(function () {\n\t\t                if (!dbInfo.db || err.name === 'NotFoundError' && !dbInfo.db.objectStoreNames.contains(dbInfo.storeName) && dbInfo.version <= dbInfo.db.version) {\n\t\t                    // increase the db version, to create the new ObjectStore\n\t\t                    if (dbInfo.db) {\n\t\t                        dbInfo.version = dbInfo.db.version + 1;\n\t\t                    }\n\t\t                    // Reopen the database for upgrading.\n\t\t                    return _getUpgradedConnection(dbInfo);\n\t\t                }\n\t\t            }).then(function () {\n\t\t                return _tryReconnect(dbInfo).then(function () {\n\t\t                    createTransaction(dbInfo, mode, callback, retries - 1);\n\t\t                });\n\t\t            })[\"catch\"](callback);\n\t\t        }\n\n\t\t        callback(err);\n\t\t    }\n\t\t}\n\n\t\tfunction createDbContext() {\n\t\t    return {\n\t\t        // Running localForages sharing a database.\n\t\t        forages: [],\n\t\t        // Shared database.\n\t\t        db: null,\n\t\t        // Database readiness (promise).\n\t\t        dbReady: null,\n\t\t        // Deferred operations on the database.\n\t\t        deferredOperations: []\n\t\t    };\n\t\t}\n\n\t\t// Open the IndexedDB database (automatically creates one if one didn't\n\t\t// previously exist), using any options set in the config.\n\t\tfunction _initStorage(options) {\n\t\t    var self = this;\n\t\t    var dbInfo = {\n\t\t        db: null\n\t\t    };\n\n\t\t    if (options) {\n\t\t        for (var i in options) {\n\t\t            dbInfo[i] = options[i];\n\t\t        }\n\t\t    }\n\n\t\t    // Get the current context of the database;\n\t\t    var dbContext = dbContexts[dbInfo.name];\n\n\t\t    // ...or create a new context.\n\t\t    if (!dbContext) {\n\t\t        dbContext = createDbContext();\n\t\t        // Register the new context in the global container.\n\t\t        dbContexts[dbInfo.name] = dbContext;\n\t\t    }\n\n\t\t    // Register itself as a running localForage in the current context.\n\t\t    dbContext.forages.push(self);\n\n\t\t    // Replace the default `ready()` function with the specialized one.\n\t\t    if (!self._initReady) {\n\t\t        self._initReady = self.ready;\n\t\t        self.ready = _fullyReady;\n\t\t    }\n\n\t\t    // Create an array of initialization states of the related localForages.\n\t\t    var initPromises = [];\n\n\t\t    function ignoreErrors() {\n\t\t        // Don't handle errors here,\n\t\t        // just makes sure related localForages aren't pending.\n\t\t        return Promise$1.resolve();\n\t\t    }\n\n\t\t    for (var j = 0; j < dbContext.forages.length; j++) {\n\t\t        var forage = dbContext.forages[j];\n\t\t        if (forage !== self) {\n\t\t            // Don't wait for itself...\n\t\t            initPromises.push(forage._initReady()[\"catch\"](ignoreErrors));\n\t\t        }\n\t\t    }\n\n\t\t    // Take a snapshot of the related localForages.\n\t\t    var forages = dbContext.forages.slice(0);\n\n\t\t    // Initialize the connection process only when\n\t\t    // all the related localForages aren't pending.\n\t\t    return Promise$1.all(initPromises).then(function () {\n\t\t        dbInfo.db = dbContext.db;\n\t\t        // Get the connection or open a new one without upgrade.\n\t\t        return _getOriginalConnection(dbInfo);\n\t\t    }).then(function (db) {\n\t\t        dbInfo.db = db;\n\t\t        if (_isUpgradeNeeded(dbInfo, self._defaultConfig.version)) {\n\t\t            // Reopen the database for upgrading.\n\t\t            return _getUpgradedConnection(dbInfo);\n\t\t        }\n\t\t        return db;\n\t\t    }).then(function (db) {\n\t\t        dbInfo.db = dbContext.db = db;\n\t\t        self._dbInfo = dbInfo;\n\t\t        // Share the final connection amongst related localForages.\n\t\t        for (var k = 0; k < forages.length; k++) {\n\t\t            var forage = forages[k];\n\t\t            if (forage !== self) {\n\t\t                // Self is already up-to-date.\n\t\t                forage._dbInfo.db = dbInfo.db;\n\t\t                forage._dbInfo.version = dbInfo.version;\n\t\t            }\n\t\t        }\n\t\t    });\n\t\t}\n\n\t\tfunction getItem(key, callback) {\n\t\t    var self = this;\n\n\t\t    key = normalizeKey(key);\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            createTransaction(self._dbInfo, READ_ONLY, function (err, transaction) {\n\t\t                if (err) {\n\t\t                    return reject(err);\n\t\t                }\n\n\t\t                try {\n\t\t                    var store = transaction.objectStore(self._dbInfo.storeName);\n\t\t                    var req = store.get(key);\n\n\t\t                    req.onsuccess = function () {\n\t\t                        var value = req.result;\n\t\t                        if (value === undefined) {\n\t\t                            value = null;\n\t\t                        }\n\t\t                        if (_isEncodedBlob(value)) {\n\t\t                            value = _decodeBlob(value);\n\t\t                        }\n\t\t                        resolve(value);\n\t\t                    };\n\n\t\t                    req.onerror = function () {\n\t\t                        reject(req.error);\n\t\t                    };\n\t\t                } catch (e) {\n\t\t                    reject(e);\n\t\t                }\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Iterate over all items stored in database.\n\t\tfunction iterate(iterator, callback) {\n\t\t    var self = this;\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            createTransaction(self._dbInfo, READ_ONLY, function (err, transaction) {\n\t\t                if (err) {\n\t\t                    return reject(err);\n\t\t                }\n\n\t\t                try {\n\t\t                    var store = transaction.objectStore(self._dbInfo.storeName);\n\t\t                    var req = store.openCursor();\n\t\t                    var iterationNumber = 1;\n\n\t\t                    req.onsuccess = function () {\n\t\t                        var cursor = req.result;\n\n\t\t                        if (cursor) {\n\t\t                            var value = cursor.value;\n\t\t                            if (_isEncodedBlob(value)) {\n\t\t                                value = _decodeBlob(value);\n\t\t                            }\n\t\t                            var result = iterator(value, cursor.key, iterationNumber++);\n\n\t\t                            // when the iterator callback returns any\n\t\t                            // (non-`undefined`) value, then we stop\n\t\t                            // the iteration immediately\n\t\t                            if (result !== void 0) {\n\t\t                                resolve(result);\n\t\t                            } else {\n\t\t                                cursor[\"continue\"]();\n\t\t                            }\n\t\t                        } else {\n\t\t                            resolve();\n\t\t                        }\n\t\t                    };\n\n\t\t                    req.onerror = function () {\n\t\t                        reject(req.error);\n\t\t                    };\n\t\t                } catch (e) {\n\t\t                    reject(e);\n\t\t                }\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\n\t\t    return promise;\n\t\t}\n\n\t\tfunction setItem(key, value, callback) {\n\t\t    var self = this;\n\n\t\t    key = normalizeKey(key);\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        var dbInfo;\n\t\t        self.ready().then(function () {\n\t\t            dbInfo = self._dbInfo;\n\t\t            if (toString.call(value) === '[object Blob]') {\n\t\t                return _checkBlobSupport(dbInfo.db).then(function (blobSupport) {\n\t\t                    if (blobSupport) {\n\t\t                        return value;\n\t\t                    }\n\t\t                    return _encodeBlob(value);\n\t\t                });\n\t\t            }\n\t\t            return value;\n\t\t        }).then(function (value) {\n\t\t            createTransaction(self._dbInfo, READ_WRITE, function (err, transaction) {\n\t\t                if (err) {\n\t\t                    return reject(err);\n\t\t                }\n\n\t\t                try {\n\t\t                    var store = transaction.objectStore(self._dbInfo.storeName);\n\n\t\t                    // The reason we don't _save_ null is because IE 10 does\n\t\t                    // not support saving the `null` type in IndexedDB. How\n\t\t                    // ironic, given the bug below!\n\t\t                    // See: https://github.com/mozilla/localForage/issues/161\n\t\t                    if (value === null) {\n\t\t                        value = undefined;\n\t\t                    }\n\n\t\t                    var req = store.put(value, key);\n\n\t\t                    transaction.oncomplete = function () {\n\t\t                        // Cast to undefined so the value passed to\n\t\t                        // callback/promise is the same as what one would get out\n\t\t                        // of `getItem()` later. This leads to some weirdness\n\t\t                        // (setItem('foo', undefined) will return `null`), but\n\t\t                        // it's not my fault localStorage is our baseline and that\n\t\t                        // it's weird.\n\t\t                        if (value === undefined) {\n\t\t                            value = null;\n\t\t                        }\n\n\t\t                        resolve(value);\n\t\t                    };\n\t\t                    transaction.onabort = transaction.onerror = function () {\n\t\t                        var err = req.error ? req.error : req.transaction.error;\n\t\t                        reject(err);\n\t\t                    };\n\t\t                } catch (e) {\n\t\t                    reject(e);\n\t\t                }\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction removeItem(key, callback) {\n\t\t    var self = this;\n\n\t\t    key = normalizeKey(key);\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            createTransaction(self._dbInfo, READ_WRITE, function (err, transaction) {\n\t\t                if (err) {\n\t\t                    return reject(err);\n\t\t                }\n\n\t\t                try {\n\t\t                    var store = transaction.objectStore(self._dbInfo.storeName);\n\t\t                    // We use a Grunt task to make this safe for IE and some\n\t\t                    // versions of Android (including those used by Cordova).\n\t\t                    // Normally IE won't like `.delete()` and will insist on\n\t\t                    // using `['delete']()`, but we have a build step that\n\t\t                    // fixes this for us now.\n\t\t                    var req = store[\"delete\"](key);\n\t\t                    transaction.oncomplete = function () {\n\t\t                        resolve();\n\t\t                    };\n\n\t\t                    transaction.onerror = function () {\n\t\t                        reject(req.error);\n\t\t                    };\n\n\t\t                    // The request will be also be aborted if we've exceeded our storage\n\t\t                    // space.\n\t\t                    transaction.onabort = function () {\n\t\t                        var err = req.error ? req.error : req.transaction.error;\n\t\t                        reject(err);\n\t\t                    };\n\t\t                } catch (e) {\n\t\t                    reject(e);\n\t\t                }\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction clear(callback) {\n\t\t    var self = this;\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            createTransaction(self._dbInfo, READ_WRITE, function (err, transaction) {\n\t\t                if (err) {\n\t\t                    return reject(err);\n\t\t                }\n\n\t\t                try {\n\t\t                    var store = transaction.objectStore(self._dbInfo.storeName);\n\t\t                    var req = store.clear();\n\n\t\t                    transaction.oncomplete = function () {\n\t\t                        resolve();\n\t\t                    };\n\n\t\t                    transaction.onabort = transaction.onerror = function () {\n\t\t                        var err = req.error ? req.error : req.transaction.error;\n\t\t                        reject(err);\n\t\t                    };\n\t\t                } catch (e) {\n\t\t                    reject(e);\n\t\t                }\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction length(callback) {\n\t\t    var self = this;\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            createTransaction(self._dbInfo, READ_ONLY, function (err, transaction) {\n\t\t                if (err) {\n\t\t                    return reject(err);\n\t\t                }\n\n\t\t                try {\n\t\t                    var store = transaction.objectStore(self._dbInfo.storeName);\n\t\t                    var req = store.count();\n\n\t\t                    req.onsuccess = function () {\n\t\t                        resolve(req.result);\n\t\t                    };\n\n\t\t                    req.onerror = function () {\n\t\t                        reject(req.error);\n\t\t                    };\n\t\t                } catch (e) {\n\t\t                    reject(e);\n\t\t                }\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction key(n, callback) {\n\t\t    var self = this;\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        if (n < 0) {\n\t\t            resolve(null);\n\n\t\t            return;\n\t\t        }\n\n\t\t        self.ready().then(function () {\n\t\t            createTransaction(self._dbInfo, READ_ONLY, function (err, transaction) {\n\t\t                if (err) {\n\t\t                    return reject(err);\n\t\t                }\n\n\t\t                try {\n\t\t                    var store = transaction.objectStore(self._dbInfo.storeName);\n\t\t                    var advanced = false;\n\t\t                    var req = store.openKeyCursor();\n\n\t\t                    req.onsuccess = function () {\n\t\t                        var cursor = req.result;\n\t\t                        if (!cursor) {\n\t\t                            // this means there weren't enough keys\n\t\t                            resolve(null);\n\n\t\t                            return;\n\t\t                        }\n\n\t\t                        if (n === 0) {\n\t\t                            // We have the first key, return it if that's what they\n\t\t                            // wanted.\n\t\t                            resolve(cursor.key);\n\t\t                        } else {\n\t\t                            if (!advanced) {\n\t\t                                // Otherwise, ask the cursor to skip ahead n\n\t\t                                // records.\n\t\t                                advanced = true;\n\t\t                                cursor.advance(n);\n\t\t                            } else {\n\t\t                                // When we get here, we've got the nth key.\n\t\t                                resolve(cursor.key);\n\t\t                            }\n\t\t                        }\n\t\t                    };\n\n\t\t                    req.onerror = function () {\n\t\t                        reject(req.error);\n\t\t                    };\n\t\t                } catch (e) {\n\t\t                    reject(e);\n\t\t                }\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction keys(callback) {\n\t\t    var self = this;\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            createTransaction(self._dbInfo, READ_ONLY, function (err, transaction) {\n\t\t                if (err) {\n\t\t                    return reject(err);\n\t\t                }\n\n\t\t                try {\n\t\t                    var store = transaction.objectStore(self._dbInfo.storeName);\n\t\t                    var req = store.openKeyCursor();\n\t\t                    var keys = [];\n\n\t\t                    req.onsuccess = function () {\n\t\t                        var cursor = req.result;\n\n\t\t                        if (!cursor) {\n\t\t                            resolve(keys);\n\t\t                            return;\n\t\t                        }\n\n\t\t                        keys.push(cursor.key);\n\t\t                        cursor[\"continue\"]();\n\t\t                    };\n\n\t\t                    req.onerror = function () {\n\t\t                        reject(req.error);\n\t\t                    };\n\t\t                } catch (e) {\n\t\t                    reject(e);\n\t\t                }\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction dropInstance(options, callback) {\n\t\t    callback = getCallback.apply(this, arguments);\n\n\t\t    var currentConfig = this.config();\n\t\t    options = typeof options !== 'function' && options || {};\n\t\t    if (!options.name) {\n\t\t        options.name = options.name || currentConfig.name;\n\t\t        options.storeName = options.storeName || currentConfig.storeName;\n\t\t    }\n\n\t\t    var self = this;\n\t\t    var promise;\n\t\t    if (!options.name) {\n\t\t        promise = Promise$1.reject('Invalid arguments');\n\t\t    } else {\n\t\t        var isCurrentDb = options.name === currentConfig.name && self._dbInfo.db;\n\n\t\t        var dbPromise = isCurrentDb ? Promise$1.resolve(self._dbInfo.db) : _getOriginalConnection(options).then(function (db) {\n\t\t            var dbContext = dbContexts[options.name];\n\t\t            var forages = dbContext.forages;\n\t\t            dbContext.db = db;\n\t\t            for (var i = 0; i < forages.length; i++) {\n\t\t                forages[i]._dbInfo.db = db;\n\t\t            }\n\t\t            return db;\n\t\t        });\n\n\t\t        if (!options.storeName) {\n\t\t            promise = dbPromise.then(function (db) {\n\t\t                _deferReadiness(options);\n\n\t\t                var dbContext = dbContexts[options.name];\n\t\t                var forages = dbContext.forages;\n\n\t\t                db.close();\n\t\t                for (var i = 0; i < forages.length; i++) {\n\t\t                    var forage = forages[i];\n\t\t                    forage._dbInfo.db = null;\n\t\t                }\n\n\t\t                var dropDBPromise = new Promise$1(function (resolve, reject) {\n\t\t                    var req = idb.deleteDatabase(options.name);\n\n\t\t                    req.onerror = function () {\n\t\t                        var db = req.result;\n\t\t                        if (db) {\n\t\t                            db.close();\n\t\t                        }\n\t\t                        reject(req.error);\n\t\t                    };\n\n\t\t                    req.onblocked = function () {\n\t\t                        // Closing all open connections in onversionchange handler should prevent this situation, but if\n\t\t                        // we do get here, it just means the request remains pending - eventually it will succeed or error\n\t\t                        console.warn('dropInstance blocked for database \"' + options.name + '\" until all open connections are closed');\n\t\t                    };\n\n\t\t                    req.onsuccess = function () {\n\t\t                        var db = req.result;\n\t\t                        if (db) {\n\t\t                            db.close();\n\t\t                        }\n\t\t                        resolve(db);\n\t\t                    };\n\t\t                });\n\n\t\t                return dropDBPromise.then(function (db) {\n\t\t                    dbContext.db = db;\n\t\t                    for (var i = 0; i < forages.length; i++) {\n\t\t                        var _forage = forages[i];\n\t\t                        _advanceReadiness(_forage._dbInfo);\n\t\t                    }\n\t\t                })[\"catch\"](function (err) {\n\t\t                    (_rejectReadiness(options, err) || Promise$1.resolve())[\"catch\"](function () {});\n\t\t                    throw err;\n\t\t                });\n\t\t            });\n\t\t        } else {\n\t\t            promise = dbPromise.then(function (db) {\n\t\t                if (!db.objectStoreNames.contains(options.storeName)) {\n\t\t                    return;\n\t\t                }\n\n\t\t                var newVersion = db.version + 1;\n\n\t\t                _deferReadiness(options);\n\n\t\t                var dbContext = dbContexts[options.name];\n\t\t                var forages = dbContext.forages;\n\n\t\t                db.close();\n\t\t                for (var i = 0; i < forages.length; i++) {\n\t\t                    var forage = forages[i];\n\t\t                    forage._dbInfo.db = null;\n\t\t                    forage._dbInfo.version = newVersion;\n\t\t                }\n\n\t\t                var dropObjectPromise = new Promise$1(function (resolve, reject) {\n\t\t                    var req = idb.open(options.name, newVersion);\n\n\t\t                    req.onerror = function (err) {\n\t\t                        var db = req.result;\n\t\t                        db.close();\n\t\t                        reject(err);\n\t\t                    };\n\n\t\t                    req.onupgradeneeded = function () {\n\t\t                        var db = req.result;\n\t\t                        db.deleteObjectStore(options.storeName);\n\t\t                    };\n\n\t\t                    req.onsuccess = function () {\n\t\t                        var db = req.result;\n\t\t                        db.close();\n\t\t                        resolve(db);\n\t\t                    };\n\t\t                });\n\n\t\t                return dropObjectPromise.then(function (db) {\n\t\t                    dbContext.db = db;\n\t\t                    for (var j = 0; j < forages.length; j++) {\n\t\t                        var _forage2 = forages[j];\n\t\t                        _forage2._dbInfo.db = db;\n\t\t                        _advanceReadiness(_forage2._dbInfo);\n\t\t                    }\n\t\t                })[\"catch\"](function (err) {\n\t\t                    (_rejectReadiness(options, err) || Promise$1.resolve())[\"catch\"](function () {});\n\t\t                    throw err;\n\t\t                });\n\t\t            });\n\t\t        }\n\t\t    }\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tvar asyncStorage = {\n\t\t    _driver: 'asyncStorage',\n\t\t    _initStorage: _initStorage,\n\t\t    _support: isIndexedDBValid(),\n\t\t    iterate: iterate,\n\t\t    getItem: getItem,\n\t\t    setItem: setItem,\n\t\t    removeItem: removeItem,\n\t\t    clear: clear,\n\t\t    length: length,\n\t\t    key: key,\n\t\t    keys: keys,\n\t\t    dropInstance: dropInstance\n\t\t};\n\n\t\tfunction isWebSQLValid() {\n\t\t    return typeof openDatabase === 'function';\n\t\t}\n\n\t\t// Sadly, the best way to save binary data in WebSQL/localStorage is serializing\n\t\t// it to Base64, so this is how we store it to prevent very strange errors with less\n\t\t// verbose ways of binary <-> string data storage.\n\t\tvar BASE_CHARS = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/';\n\n\t\tvar BLOB_TYPE_PREFIX = '~~local_forage_type~';\n\t\tvar BLOB_TYPE_PREFIX_REGEX = /^~~local_forage_type~([^~]+)~/;\n\n\t\tvar SERIALIZED_MARKER = '__lfsc__:';\n\t\tvar SERIALIZED_MARKER_LENGTH = SERIALIZED_MARKER.length;\n\n\t\t// OMG the serializations!\n\t\tvar TYPE_ARRAYBUFFER = 'arbf';\n\t\tvar TYPE_BLOB = 'blob';\n\t\tvar TYPE_INT8ARRAY = 'si08';\n\t\tvar TYPE_UINT8ARRAY = 'ui08';\n\t\tvar TYPE_UINT8CLAMPEDARRAY = 'uic8';\n\t\tvar TYPE_INT16ARRAY = 'si16';\n\t\tvar TYPE_INT32ARRAY = 'si32';\n\t\tvar TYPE_UINT16ARRAY = 'ur16';\n\t\tvar TYPE_UINT32ARRAY = 'ui32';\n\t\tvar TYPE_FLOAT32ARRAY = 'fl32';\n\t\tvar TYPE_FLOAT64ARRAY = 'fl64';\n\t\tvar TYPE_SERIALIZED_MARKER_LENGTH = SERIALIZED_MARKER_LENGTH + TYPE_ARRAYBUFFER.length;\n\n\t\tvar toString$1 = Object.prototype.toString;\n\n\t\tfunction stringToBuffer(serializedString) {\n\t\t    // Fill the string into a ArrayBuffer.\n\t\t    var bufferLength = serializedString.length * 0.75;\n\t\t    var len = serializedString.length;\n\t\t    var i;\n\t\t    var p = 0;\n\t\t    var encoded1, encoded2, encoded3, encoded4;\n\n\t\t    if (serializedString[serializedString.length - 1] === '=') {\n\t\t        bufferLength--;\n\t\t        if (serializedString[serializedString.length - 2] === '=') {\n\t\t            bufferLength--;\n\t\t        }\n\t\t    }\n\n\t\t    var buffer = new ArrayBuffer(bufferLength);\n\t\t    var bytes = new Uint8Array(buffer);\n\n\t\t    for (i = 0; i < len; i += 4) {\n\t\t        encoded1 = BASE_CHARS.indexOf(serializedString[i]);\n\t\t        encoded2 = BASE_CHARS.indexOf(serializedString[i + 1]);\n\t\t        encoded3 = BASE_CHARS.indexOf(serializedString[i + 2]);\n\t\t        encoded4 = BASE_CHARS.indexOf(serializedString[i + 3]);\n\n\t\t        /*jslint bitwise: true */\n\t\t        bytes[p++] = encoded1 << 2 | encoded2 >> 4;\n\t\t        bytes[p++] = (encoded2 & 15) << 4 | encoded3 >> 2;\n\t\t        bytes[p++] = (encoded3 & 3) << 6 | encoded4 & 63;\n\t\t    }\n\t\t    return buffer;\n\t\t}\n\n\t\t// Converts a buffer to a string to store, serialized, in the backend\n\t\t// storage library.\n\t\tfunction bufferToString(buffer) {\n\t\t    // base64-arraybuffer\n\t\t    var bytes = new Uint8Array(buffer);\n\t\t    var base64String = '';\n\t\t    var i;\n\n\t\t    for (i = 0; i < bytes.length; i += 3) {\n\t\t        /*jslint bitwise: true */\n\t\t        base64String += BASE_CHARS[bytes[i] >> 2];\n\t\t        base64String += BASE_CHARS[(bytes[i] & 3) << 4 | bytes[i + 1] >> 4];\n\t\t        base64String += BASE_CHARS[(bytes[i + 1] & 15) << 2 | bytes[i + 2] >> 6];\n\t\t        base64String += BASE_CHARS[bytes[i + 2] & 63];\n\t\t    }\n\n\t\t    if (bytes.length % 3 === 2) {\n\t\t        base64String = base64String.substring(0, base64String.length - 1) + '=';\n\t\t    } else if (bytes.length % 3 === 1) {\n\t\t        base64String = base64String.substring(0, base64String.length - 2) + '==';\n\t\t    }\n\n\t\t    return base64String;\n\t\t}\n\n\t\t// Serialize a value, afterwards executing a callback (which usually\n\t\t// instructs the `setItem()` callback/promise to be executed). This is how\n\t\t// we store binary data with localStorage.\n\t\tfunction serialize(value, callback) {\n\t\t    var valueType = '';\n\t\t    if (value) {\n\t\t        valueType = toString$1.call(value);\n\t\t    }\n\n\t\t    // Cannot use `value instanceof ArrayBuffer` or such here, as these\n\t\t    // checks fail when running the tests using casper.js...\n\t\t    //\n\t\t    // TODO: See why those tests fail and use a better solution.\n\t\t    if (value && (valueType === '[object ArrayBuffer]' || value.buffer && toString$1.call(value.buffer) === '[object ArrayBuffer]')) {\n\t\t        // Convert binary arrays to a string and prefix the string with\n\t\t        // a special marker.\n\t\t        var buffer;\n\t\t        var marker = SERIALIZED_MARKER;\n\n\t\t        if (value instanceof ArrayBuffer) {\n\t\t            buffer = value;\n\t\t            marker += TYPE_ARRAYBUFFER;\n\t\t        } else {\n\t\t            buffer = value.buffer;\n\n\t\t            if (valueType === '[object Int8Array]') {\n\t\t                marker += TYPE_INT8ARRAY;\n\t\t            } else if (valueType === '[object Uint8Array]') {\n\t\t                marker += TYPE_UINT8ARRAY;\n\t\t            } else if (valueType === '[object Uint8ClampedArray]') {\n\t\t                marker += TYPE_UINT8CLAMPEDARRAY;\n\t\t            } else if (valueType === '[object Int16Array]') {\n\t\t                marker += TYPE_INT16ARRAY;\n\t\t            } else if (valueType === '[object Uint16Array]') {\n\t\t                marker += TYPE_UINT16ARRAY;\n\t\t            } else if (valueType === '[object Int32Array]') {\n\t\t                marker += TYPE_INT32ARRAY;\n\t\t            } else if (valueType === '[object Uint32Array]') {\n\t\t                marker += TYPE_UINT32ARRAY;\n\t\t            } else if (valueType === '[object Float32Array]') {\n\t\t                marker += TYPE_FLOAT32ARRAY;\n\t\t            } else if (valueType === '[object Float64Array]') {\n\t\t                marker += TYPE_FLOAT64ARRAY;\n\t\t            } else {\n\t\t                callback(new Error('Failed to get type for BinaryArray'));\n\t\t            }\n\t\t        }\n\n\t\t        callback(marker + bufferToString(buffer));\n\t\t    } else if (valueType === '[object Blob]') {\n\t\t        // Conver the blob to a binaryArray and then to a string.\n\t\t        var fileReader = new FileReader();\n\n\t\t        fileReader.onload = function () {\n\t\t            // Backwards-compatible prefix for the blob type.\n\t\t            var str = BLOB_TYPE_PREFIX + value.type + '~' + bufferToString(this.result);\n\n\t\t            callback(SERIALIZED_MARKER + TYPE_BLOB + str);\n\t\t        };\n\n\t\t        fileReader.readAsArrayBuffer(value);\n\t\t    } else {\n\t\t        try {\n\t\t            callback(JSON.stringify(value));\n\t\t        } catch (e) {\n\t\t            console.error(\"Couldn't convert value into a JSON string: \", value);\n\n\t\t            callback(null, e);\n\t\t        }\n\t\t    }\n\t\t}\n\n\t\t// Deserialize data we've inserted into a value column/field. We place\n\t\t// special markers into our strings to mark them as encoded; this isn't\n\t\t// as nice as a meta field, but it's the only sane thing we can do whilst\n\t\t// keeping localStorage support intact.\n\t\t//\n\t\t// Oftentimes this will just deserialize JSON content, but if we have a\n\t\t// special marker (SERIALIZED_MARKER, defined above), we will extract\n\t\t// some kind of arraybuffer/binary data/typed array out of the string.\n\t\tfunction deserialize(value) {\n\t\t    // If we haven't marked this string as being specially serialized (i.e.\n\t\t    // something other than serialized JSON), we can just return it and be\n\t\t    // done with it.\n\t\t    if (value.substring(0, SERIALIZED_MARKER_LENGTH) !== SERIALIZED_MARKER) {\n\t\t        return JSON.parse(value);\n\t\t    }\n\n\t\t    // The following code deals with deserializing some kind of Blob or\n\t\t    // TypedArray. First we separate out the type of data we're dealing\n\t\t    // with from the data itself.\n\t\t    var serializedString = value.substring(TYPE_SERIALIZED_MARKER_LENGTH);\n\t\t    var type = value.substring(SERIALIZED_MARKER_LENGTH, TYPE_SERIALIZED_MARKER_LENGTH);\n\n\t\t    var blobType;\n\t\t    // Backwards-compatible blob type serialization strategy.\n\t\t    // DBs created with older versions of localForage will simply not have the blob type.\n\t\t    if (type === TYPE_BLOB && BLOB_TYPE_PREFIX_REGEX.test(serializedString)) {\n\t\t        var matcher = serializedString.match(BLOB_TYPE_PREFIX_REGEX);\n\t\t        blobType = matcher[1];\n\t\t        serializedString = serializedString.substring(matcher[0].length);\n\t\t    }\n\t\t    var buffer = stringToBuffer(serializedString);\n\n\t\t    // Return the right type based on the code/type set during\n\t\t    // serialization.\n\t\t    switch (type) {\n\t\t        case TYPE_ARRAYBUFFER:\n\t\t            return buffer;\n\t\t        case TYPE_BLOB:\n\t\t            return createBlob([buffer], { type: blobType });\n\t\t        case TYPE_INT8ARRAY:\n\t\t            return new Int8Array(buffer);\n\t\t        case TYPE_UINT8ARRAY:\n\t\t            return new Uint8Array(buffer);\n\t\t        case TYPE_UINT8CLAMPEDARRAY:\n\t\t            return new Uint8ClampedArray(buffer);\n\t\t        case TYPE_INT16ARRAY:\n\t\t            return new Int16Array(buffer);\n\t\t        case TYPE_UINT16ARRAY:\n\t\t            return new Uint16Array(buffer);\n\t\t        case TYPE_INT32ARRAY:\n\t\t            return new Int32Array(buffer);\n\t\t        case TYPE_UINT32ARRAY:\n\t\t            return new Uint32Array(buffer);\n\t\t        case TYPE_FLOAT32ARRAY:\n\t\t            return new Float32Array(buffer);\n\t\t        case TYPE_FLOAT64ARRAY:\n\t\t            return new Float64Array(buffer);\n\t\t        default:\n\t\t            throw new Error('Unkown type: ' + type);\n\t\t    }\n\t\t}\n\n\t\tvar localforageSerializer = {\n\t\t    serialize: serialize,\n\t\t    deserialize: deserialize,\n\t\t    stringToBuffer: stringToBuffer,\n\t\t    bufferToString: bufferToString\n\t\t};\n\n\t\t/*\n\t\t * Includes code from:\n\t\t *\n\t\t * base64-arraybuffer\n\t\t * https://github.com/niklasvh/base64-arraybuffer\n\t\t *\n\t\t * Copyright (c) 2012 Niklas von Hertzen\n\t\t * Licensed under the MIT license.\n\t\t */\n\n\t\tfunction createDbTable(t, dbInfo, callback, errorCallback) {\n\t\t    t.executeSql('CREATE TABLE IF NOT EXISTS ' + dbInfo.storeName + ' ' + '(id INTEGER PRIMARY KEY, key unique, value)', [], callback, errorCallback);\n\t\t}\n\n\t\t// Open the WebSQL database (automatically creates one if one didn't\n\t\t// previously exist), using any options set in the config.\n\t\tfunction _initStorage$1(options) {\n\t\t    var self = this;\n\t\t    var dbInfo = {\n\t\t        db: null\n\t\t    };\n\n\t\t    if (options) {\n\t\t        for (var i in options) {\n\t\t            dbInfo[i] = typeof options[i] !== 'string' ? options[i].toString() : options[i];\n\t\t        }\n\t\t    }\n\n\t\t    var dbInfoPromise = new Promise$1(function (resolve, reject) {\n\t\t        // Open the database; the openDatabase API will automatically\n\t\t        // create it for us if it doesn't exist.\n\t\t        try {\n\t\t            dbInfo.db = openDatabase(dbInfo.name, String(dbInfo.version), dbInfo.description, dbInfo.size);\n\t\t        } catch (e) {\n\t\t            return reject(e);\n\t\t        }\n\n\t\t        // Create our key/value table if it doesn't exist.\n\t\t        dbInfo.db.transaction(function (t) {\n\t\t            createDbTable(t, dbInfo, function () {\n\t\t                self._dbInfo = dbInfo;\n\t\t                resolve();\n\t\t            }, function (t, error) {\n\t\t                reject(error);\n\t\t            });\n\t\t        }, reject);\n\t\t    });\n\n\t\t    dbInfo.serializer = localforageSerializer;\n\t\t    return dbInfoPromise;\n\t\t}\n\n\t\tfunction tryExecuteSql(t, dbInfo, sqlStatement, args, callback, errorCallback) {\n\t\t    t.executeSql(sqlStatement, args, callback, function (t, error) {\n\t\t        if (error.code === error.SYNTAX_ERR) {\n\t\t            t.executeSql('SELECT name FROM sqlite_master ' + \"WHERE type='table' AND name = ?\", [dbInfo.storeName], function (t, results) {\n\t\t                if (!results.rows.length) {\n\t\t                    // if the table is missing (was deleted)\n\t\t                    // re-create it table and retry\n\t\t                    createDbTable(t, dbInfo, function () {\n\t\t                        t.executeSql(sqlStatement, args, callback, errorCallback);\n\t\t                    }, errorCallback);\n\t\t                } else {\n\t\t                    errorCallback(t, error);\n\t\t                }\n\t\t            }, errorCallback);\n\t\t        } else {\n\t\t            errorCallback(t, error);\n\t\t        }\n\t\t    }, errorCallback);\n\t\t}\n\n\t\tfunction getItem$1(key, callback) {\n\t\t    var self = this;\n\n\t\t    key = normalizeKey(key);\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            var dbInfo = self._dbInfo;\n\t\t            dbInfo.db.transaction(function (t) {\n\t\t                tryExecuteSql(t, dbInfo, 'SELECT * FROM ' + dbInfo.storeName + ' WHERE key = ? LIMIT 1', [key], function (t, results) {\n\t\t                    var result = results.rows.length ? results.rows.item(0).value : null;\n\n\t\t                    // Check to see if this is serialized content we need to\n\t\t                    // unpack.\n\t\t                    if (result) {\n\t\t                        result = dbInfo.serializer.deserialize(result);\n\t\t                    }\n\n\t\t                    resolve(result);\n\t\t                }, function (t, error) {\n\t\t                    reject(error);\n\t\t                });\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction iterate$1(iterator, callback) {\n\t\t    var self = this;\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            var dbInfo = self._dbInfo;\n\n\t\t            dbInfo.db.transaction(function (t) {\n\t\t                tryExecuteSql(t, dbInfo, 'SELECT * FROM ' + dbInfo.storeName, [], function (t, results) {\n\t\t                    var rows = results.rows;\n\t\t                    var length = rows.length;\n\n\t\t                    for (var i = 0; i < length; i++) {\n\t\t                        var item = rows.item(i);\n\t\t                        var result = item.value;\n\n\t\t                        // Check to see if this is serialized content\n\t\t                        // we need to unpack.\n\t\t                        if (result) {\n\t\t                            result = dbInfo.serializer.deserialize(result);\n\t\t                        }\n\n\t\t                        result = iterator(result, item.key, i + 1);\n\n\t\t                        // void(0) prevents problems with redefinition\n\t\t                        // of `undefined`.\n\t\t                        if (result !== void 0) {\n\t\t                            resolve(result);\n\t\t                            return;\n\t\t                        }\n\t\t                    }\n\n\t\t                    resolve();\n\t\t                }, function (t, error) {\n\t\t                    reject(error);\n\t\t                });\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction _setItem(key, value, callback, retriesLeft) {\n\t\t    var self = this;\n\n\t\t    key = normalizeKey(key);\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            // The localStorage API doesn't return undefined values in an\n\t\t            // \"expected\" way, so undefined is always cast to null in all\n\t\t            // drivers. See: https://github.com/mozilla/localForage/pull/42\n\t\t            if (value === undefined) {\n\t\t                value = null;\n\t\t            }\n\n\t\t            // Save the original value to pass to the callback.\n\t\t            var originalValue = value;\n\n\t\t            var dbInfo = self._dbInfo;\n\t\t            dbInfo.serializer.serialize(value, function (value, error) {\n\t\t                if (error) {\n\t\t                    reject(error);\n\t\t                } else {\n\t\t                    dbInfo.db.transaction(function (t) {\n\t\t                        tryExecuteSql(t, dbInfo, 'INSERT OR REPLACE INTO ' + dbInfo.storeName + ' ' + '(key, value) VALUES (?, ?)', [key, value], function () {\n\t\t                            resolve(originalValue);\n\t\t                        }, function (t, error) {\n\t\t                            reject(error);\n\t\t                        });\n\t\t                    }, function (sqlError) {\n\t\t                        // The transaction failed; check\n\t\t                        // to see if it's a quota error.\n\t\t                        if (sqlError.code === sqlError.QUOTA_ERR) {\n\t\t                            // We reject the callback outright for now, but\n\t\t                            // it's worth trying to re-run the transaction.\n\t\t                            // Even if the user accepts the prompt to use\n\t\t                            // more storage on Safari, this error will\n\t\t                            // be called.\n\t\t                            //\n\t\t                            // Try to re-run the transaction.\n\t\t                            if (retriesLeft > 0) {\n\t\t                                resolve(_setItem.apply(self, [key, originalValue, callback, retriesLeft - 1]));\n\t\t                                return;\n\t\t                            }\n\t\t                            reject(sqlError);\n\t\t                        }\n\t\t                    });\n\t\t                }\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction setItem$1(key, value, callback) {\n\t\t    return _setItem.apply(this, [key, value, callback, 1]);\n\t\t}\n\n\t\tfunction removeItem$1(key, callback) {\n\t\t    var self = this;\n\n\t\t    key = normalizeKey(key);\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            var dbInfo = self._dbInfo;\n\t\t            dbInfo.db.transaction(function (t) {\n\t\t                tryExecuteSql(t, dbInfo, 'DELETE FROM ' + dbInfo.storeName + ' WHERE key = ?', [key], function () {\n\t\t                    resolve();\n\t\t                }, function (t, error) {\n\t\t                    reject(error);\n\t\t                });\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Deletes every item in the table.\n\t\t// TODO: Find out if this resets the AUTO_INCREMENT number.\n\t\tfunction clear$1(callback) {\n\t\t    var self = this;\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            var dbInfo = self._dbInfo;\n\t\t            dbInfo.db.transaction(function (t) {\n\t\t                tryExecuteSql(t, dbInfo, 'DELETE FROM ' + dbInfo.storeName, [], function () {\n\t\t                    resolve();\n\t\t                }, function (t, error) {\n\t\t                    reject(error);\n\t\t                });\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Does a simple `COUNT(key)` to get the number of items stored in\n\t\t// localForage.\n\t\tfunction length$1(callback) {\n\t\t    var self = this;\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            var dbInfo = self._dbInfo;\n\t\t            dbInfo.db.transaction(function (t) {\n\t\t                // Ahhh, SQL makes this one soooooo easy.\n\t\t                tryExecuteSql(t, dbInfo, 'SELECT COUNT(key) as c FROM ' + dbInfo.storeName, [], function (t, results) {\n\t\t                    var result = results.rows.item(0).c;\n\t\t                    resolve(result);\n\t\t                }, function (t, error) {\n\t\t                    reject(error);\n\t\t                });\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Return the key located at key index X; essentially gets the key from a\n\t\t// `WHERE id = ?`. This is the most efficient way I can think to implement\n\t\t// this rarely-used (in my experience) part of the API, but it can seem\n\t\t// inconsistent, because we do `INSERT OR REPLACE INTO` on `setItem()`, so\n\t\t// the ID of each key will change every time it's updated. Perhaps a stored\n\t\t// procedure for the `setItem()` SQL would solve this problem?\n\t\t// TODO: Don't change ID on `setItem()`.\n\t\tfunction key$1(n, callback) {\n\t\t    var self = this;\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            var dbInfo = self._dbInfo;\n\t\t            dbInfo.db.transaction(function (t) {\n\t\t                tryExecuteSql(t, dbInfo, 'SELECT key FROM ' + dbInfo.storeName + ' WHERE id = ? LIMIT 1', [n + 1], function (t, results) {\n\t\t                    var result = results.rows.length ? results.rows.item(0).key : null;\n\t\t                    resolve(result);\n\t\t                }, function (t, error) {\n\t\t                    reject(error);\n\t\t                });\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction keys$1(callback) {\n\t\t    var self = this;\n\n\t\t    var promise = new Promise$1(function (resolve, reject) {\n\t\t        self.ready().then(function () {\n\t\t            var dbInfo = self._dbInfo;\n\t\t            dbInfo.db.transaction(function (t) {\n\t\t                tryExecuteSql(t, dbInfo, 'SELECT key FROM ' + dbInfo.storeName, [], function (t, results) {\n\t\t                    var keys = [];\n\n\t\t                    for (var i = 0; i < results.rows.length; i++) {\n\t\t                        keys.push(results.rows.item(i).key);\n\t\t                    }\n\n\t\t                    resolve(keys);\n\t\t                }, function (t, error) {\n\t\t                    reject(error);\n\t\t                });\n\t\t            });\n\t\t        })[\"catch\"](reject);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// https://www.w3.org/TR/webdatabase/#databases\n\t\t// > There is no way to enumerate or delete the databases available for an origin from this API.\n\t\tfunction getAllStoreNames(db) {\n\t\t    return new Promise$1(function (resolve, reject) {\n\t\t        db.transaction(function (t) {\n\t\t            t.executeSql('SELECT name FROM sqlite_master ' + \"WHERE type='table' AND name <> '__WebKitDatabaseInfoTable__'\", [], function (t, results) {\n\t\t                var storeNames = [];\n\n\t\t                for (var i = 0; i < results.rows.length; i++) {\n\t\t                    storeNames.push(results.rows.item(i).name);\n\t\t                }\n\n\t\t                resolve({\n\t\t                    db: db,\n\t\t                    storeNames: storeNames\n\t\t                });\n\t\t            }, function (t, error) {\n\t\t                reject(error);\n\t\t            });\n\t\t        }, function (sqlError) {\n\t\t            reject(sqlError);\n\t\t        });\n\t\t    });\n\t\t}\n\n\t\tfunction dropInstance$1(options, callback) {\n\t\t    callback = getCallback.apply(this, arguments);\n\n\t\t    var currentConfig = this.config();\n\t\t    options = typeof options !== 'function' && options || {};\n\t\t    if (!options.name) {\n\t\t        options.name = options.name || currentConfig.name;\n\t\t        options.storeName = options.storeName || currentConfig.storeName;\n\t\t    }\n\n\t\t    var self = this;\n\t\t    var promise;\n\t\t    if (!options.name) {\n\t\t        promise = Promise$1.reject('Invalid arguments');\n\t\t    } else {\n\t\t        promise = new Promise$1(function (resolve) {\n\t\t            var db;\n\t\t            if (options.name === currentConfig.name) {\n\t\t                // use the db reference of the current instance\n\t\t                db = self._dbInfo.db;\n\t\t            } else {\n\t\t                db = openDatabase(options.name, '', '', 0);\n\t\t            }\n\n\t\t            if (!options.storeName) {\n\t\t                // drop all database tables\n\t\t                resolve(getAllStoreNames(db));\n\t\t            } else {\n\t\t                resolve({\n\t\t                    db: db,\n\t\t                    storeNames: [options.storeName]\n\t\t                });\n\t\t            }\n\t\t        }).then(function (operationInfo) {\n\t\t            return new Promise$1(function (resolve, reject) {\n\t\t                operationInfo.db.transaction(function (t) {\n\t\t                    function dropTable(storeName) {\n\t\t                        return new Promise$1(function (resolve, reject) {\n\t\t                            t.executeSql('DROP TABLE IF EXISTS ' + storeName, [], function () {\n\t\t                                resolve();\n\t\t                            }, function (t, error) {\n\t\t                                reject(error);\n\t\t                            });\n\t\t                        });\n\t\t                    }\n\n\t\t                    var operations = [];\n\t\t                    for (var i = 0, len = operationInfo.storeNames.length; i < len; i++) {\n\t\t                        operations.push(dropTable(operationInfo.storeNames[i]));\n\t\t                    }\n\n\t\t                    Promise$1.all(operations).then(function () {\n\t\t                        resolve();\n\t\t                    })[\"catch\"](function (e) {\n\t\t                        reject(e);\n\t\t                    });\n\t\t                }, function (sqlError) {\n\t\t                    reject(sqlError);\n\t\t                });\n\t\t            });\n\t\t        });\n\t\t    }\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tvar webSQLStorage = {\n\t\t    _driver: 'webSQLStorage',\n\t\t    _initStorage: _initStorage$1,\n\t\t    _support: isWebSQLValid(),\n\t\t    iterate: iterate$1,\n\t\t    getItem: getItem$1,\n\t\t    setItem: setItem$1,\n\t\t    removeItem: removeItem$1,\n\t\t    clear: clear$1,\n\t\t    length: length$1,\n\t\t    key: key$1,\n\t\t    keys: keys$1,\n\t\t    dropInstance: dropInstance$1\n\t\t};\n\n\t\tfunction isLocalStorageValid() {\n\t\t    try {\n\t\t        return typeof localStorage !== 'undefined' && 'setItem' in localStorage &&\n\t\t        // in IE8 typeof localStorage.setItem === 'object'\n\t\t        !!localStorage.setItem;\n\t\t    } catch (e) {\n\t\t        return false;\n\t\t    }\n\t\t}\n\n\t\tfunction _getKeyPrefix(options, defaultConfig) {\n\t\t    var keyPrefix = options.name + '/';\n\n\t\t    if (options.storeName !== defaultConfig.storeName) {\n\t\t        keyPrefix += options.storeName + '/';\n\t\t    }\n\t\t    return keyPrefix;\n\t\t}\n\n\t\t// Check if localStorage throws when saving an item\n\t\tfunction checkIfLocalStorageThrows() {\n\t\t    var localStorageTestKey = '_localforage_support_test';\n\n\t\t    try {\n\t\t        localStorage.setItem(localStorageTestKey, true);\n\t\t        localStorage.removeItem(localStorageTestKey);\n\n\t\t        return false;\n\t\t    } catch (e) {\n\t\t        return true;\n\t\t    }\n\t\t}\n\n\t\t// Check if localStorage is usable and allows to save an item\n\t\t// This method checks if localStorage is usable in Safari Private Browsing\n\t\t// mode, or in any other case where the available quota for localStorage\n\t\t// is 0 and there wasn't any saved items yet.\n\t\tfunction _isLocalStorageUsable() {\n\t\t    return !checkIfLocalStorageThrows() || localStorage.length > 0;\n\t\t}\n\n\t\t// Config the localStorage backend, using options set in the config.\n\t\tfunction _initStorage$2(options) {\n\t\t    var self = this;\n\t\t    var dbInfo = {};\n\t\t    if (options) {\n\t\t        for (var i in options) {\n\t\t            dbInfo[i] = options[i];\n\t\t        }\n\t\t    }\n\n\t\t    dbInfo.keyPrefix = _getKeyPrefix(options, self._defaultConfig);\n\n\t\t    if (!_isLocalStorageUsable()) {\n\t\t        return Promise$1.reject();\n\t\t    }\n\n\t\t    self._dbInfo = dbInfo;\n\t\t    dbInfo.serializer = localforageSerializer;\n\n\t\t    return Promise$1.resolve();\n\t\t}\n\n\t\t// Remove all keys from the datastore, effectively destroying all data in\n\t\t// the app's key/value store!\n\t\tfunction clear$2(callback) {\n\t\t    var self = this;\n\t\t    var promise = self.ready().then(function () {\n\t\t        var keyPrefix = self._dbInfo.keyPrefix;\n\n\t\t        for (var i = localStorage.length - 1; i >= 0; i--) {\n\t\t            var key = localStorage.key(i);\n\n\t\t            if (key.indexOf(keyPrefix) === 0) {\n\t\t                localStorage.removeItem(key);\n\t\t            }\n\t\t        }\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Retrieve an item from the store. Unlike the original async_storage\n\t\t// library in Gaia, we don't modify return values at all. If a key's value\n\t\t// is `undefined`, we pass that value to the callback function.\n\t\tfunction getItem$2(key, callback) {\n\t\t    var self = this;\n\n\t\t    key = normalizeKey(key);\n\n\t\t    var promise = self.ready().then(function () {\n\t\t        var dbInfo = self._dbInfo;\n\t\t        var result = localStorage.getItem(dbInfo.keyPrefix + key);\n\n\t\t        // If a result was found, parse it from the serialized\n\t\t        // string into a JS object. If result isn't truthy, the key\n\t\t        // is likely undefined and we'll pass it straight to the\n\t\t        // callback.\n\t\t        if (result) {\n\t\t            result = dbInfo.serializer.deserialize(result);\n\t\t        }\n\n\t\t        return result;\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Iterate over all items in the store.\n\t\tfunction iterate$2(iterator, callback) {\n\t\t    var self = this;\n\n\t\t    var promise = self.ready().then(function () {\n\t\t        var dbInfo = self._dbInfo;\n\t\t        var keyPrefix = dbInfo.keyPrefix;\n\t\t        var keyPrefixLength = keyPrefix.length;\n\t\t        var length = localStorage.length;\n\n\t\t        // We use a dedicated iterator instead of the `i` variable below\n\t\t        // so other keys we fetch in localStorage aren't counted in\n\t\t        // the `iterationNumber` argument passed to the `iterate()`\n\t\t        // callback.\n\t\t        //\n\t\t        // See: github.com/mozilla/localForage/pull/435#discussion_r38061530\n\t\t        var iterationNumber = 1;\n\n\t\t        for (var i = 0; i < length; i++) {\n\t\t            var key = localStorage.key(i);\n\t\t            if (key.indexOf(keyPrefix) !== 0) {\n\t\t                continue;\n\t\t            }\n\t\t            var value = localStorage.getItem(key);\n\n\t\t            // If a result was found, parse it from the serialized\n\t\t            // string into a JS object. If result isn't truthy, the\n\t\t            // key is likely undefined and we'll pass it straight\n\t\t            // to the iterator.\n\t\t            if (value) {\n\t\t                value = dbInfo.serializer.deserialize(value);\n\t\t            }\n\n\t\t            value = iterator(value, key.substring(keyPrefixLength), iterationNumber++);\n\n\t\t            if (value !== void 0) {\n\t\t                return value;\n\t\t            }\n\t\t        }\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Same as localStorage's key() method, except takes a callback.\n\t\tfunction key$2(n, callback) {\n\t\t    var self = this;\n\t\t    var promise = self.ready().then(function () {\n\t\t        var dbInfo = self._dbInfo;\n\t\t        var result;\n\t\t        try {\n\t\t            result = localStorage.key(n);\n\t\t        } catch (error) {\n\t\t            result = null;\n\t\t        }\n\n\t\t        // Remove the prefix from the key, if a key is found.\n\t\t        if (result) {\n\t\t            result = result.substring(dbInfo.keyPrefix.length);\n\t\t        }\n\n\t\t        return result;\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction keys$2(callback) {\n\t\t    var self = this;\n\t\t    var promise = self.ready().then(function () {\n\t\t        var dbInfo = self._dbInfo;\n\t\t        var length = localStorage.length;\n\t\t        var keys = [];\n\n\t\t        for (var i = 0; i < length; i++) {\n\t\t            var itemKey = localStorage.key(i);\n\t\t            if (itemKey.indexOf(dbInfo.keyPrefix) === 0) {\n\t\t                keys.push(itemKey.substring(dbInfo.keyPrefix.length));\n\t\t            }\n\t\t        }\n\n\t\t        return keys;\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Supply the number of keys in the datastore to the callback function.\n\t\tfunction length$2(callback) {\n\t\t    var self = this;\n\t\t    var promise = self.keys().then(function (keys) {\n\t\t        return keys.length;\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Remove an item from the store, nice and simple.\n\t\tfunction removeItem$2(key, callback) {\n\t\t    var self = this;\n\n\t\t    key = normalizeKey(key);\n\n\t\t    var promise = self.ready().then(function () {\n\t\t        var dbInfo = self._dbInfo;\n\t\t        localStorage.removeItem(dbInfo.keyPrefix + key);\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\t// Set a key's value and run an optional callback once the value is set.\n\t\t// Unlike Gaia's implementation, the callback function is passed the value,\n\t\t// in case you want to operate on that value only after you're sure it\n\t\t// saved, or something like that.\n\t\tfunction setItem$2(key, value, callback) {\n\t\t    var self = this;\n\n\t\t    key = normalizeKey(key);\n\n\t\t    var promise = self.ready().then(function () {\n\t\t        // Convert undefined values to null.\n\t\t        // https://github.com/mozilla/localForage/pull/42\n\t\t        if (value === undefined) {\n\t\t            value = null;\n\t\t        }\n\n\t\t        // Save the original value to pass to the callback.\n\t\t        var originalValue = value;\n\n\t\t        return new Promise$1(function (resolve, reject) {\n\t\t            var dbInfo = self._dbInfo;\n\t\t            dbInfo.serializer.serialize(value, function (value, error) {\n\t\t                if (error) {\n\t\t                    reject(error);\n\t\t                } else {\n\t\t                    try {\n\t\t                        localStorage.setItem(dbInfo.keyPrefix + key, value);\n\t\t                        resolve(originalValue);\n\t\t                    } catch (e) {\n\t\t                        // localStorage capacity exceeded.\n\t\t                        // TODO: Make this a specific error/event.\n\t\t                        if (e.name === 'QuotaExceededError' || e.name === 'NS_ERROR_DOM_QUOTA_REACHED') {\n\t\t                            reject(e);\n\t\t                        }\n\t\t                        reject(e);\n\t\t                    }\n\t\t                }\n\t\t            });\n\t\t        });\n\t\t    });\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tfunction dropInstance$2(options, callback) {\n\t\t    callback = getCallback.apply(this, arguments);\n\n\t\t    options = typeof options !== 'function' && options || {};\n\t\t    if (!options.name) {\n\t\t        var currentConfig = this.config();\n\t\t        options.name = options.name || currentConfig.name;\n\t\t        options.storeName = options.storeName || currentConfig.storeName;\n\t\t    }\n\n\t\t    var self = this;\n\t\t    var promise;\n\t\t    if (!options.name) {\n\t\t        promise = Promise$1.reject('Invalid arguments');\n\t\t    } else {\n\t\t        promise = new Promise$1(function (resolve) {\n\t\t            if (!options.storeName) {\n\t\t                resolve(options.name + '/');\n\t\t            } else {\n\t\t                resolve(_getKeyPrefix(options, self._defaultConfig));\n\t\t            }\n\t\t        }).then(function (keyPrefix) {\n\t\t            for (var i = localStorage.length - 1; i >= 0; i--) {\n\t\t                var key = localStorage.key(i);\n\n\t\t                if (key.indexOf(keyPrefix) === 0) {\n\t\t                    localStorage.removeItem(key);\n\t\t                }\n\t\t            }\n\t\t        });\n\t\t    }\n\n\t\t    executeCallback(promise, callback);\n\t\t    return promise;\n\t\t}\n\n\t\tvar localStorageWrapper = {\n\t\t    _driver: 'localStorageWrapper',\n\t\t    _initStorage: _initStorage$2,\n\t\t    _support: isLocalStorageValid(),\n\t\t    iterate: iterate$2,\n\t\t    getItem: getItem$2,\n\t\t    setItem: setItem$2,\n\t\t    removeItem: removeItem$2,\n\t\t    clear: clear$2,\n\t\t    length: length$2,\n\t\t    key: key$2,\n\t\t    keys: keys$2,\n\t\t    dropInstance: dropInstance$2\n\t\t};\n\n\t\tvar sameValue = function sameValue(x, y) {\n\t\t    return x === y || typeof x === 'number' && typeof y === 'number' && isNaN(x) && isNaN(y);\n\t\t};\n\n\t\tvar includes = function includes(array, searchElement) {\n\t\t    var len = array.length;\n\t\t    var i = 0;\n\t\t    while (i < len) {\n\t\t        if (sameValue(array[i], searchElement)) {\n\t\t            return true;\n\t\t        }\n\t\t        i++;\n\t\t    }\n\n\t\t    return false;\n\t\t};\n\n\t\tvar isArray = Array.isArray || function (arg) {\n\t\t    return Object.prototype.toString.call(arg) === '[object Array]';\n\t\t};\n\n\t\t// Drivers are stored here when `defineDriver()` is called.\n\t\t// They are shared across all instances of localForage.\n\t\tvar DefinedDrivers = {};\n\n\t\tvar DriverSupport = {};\n\n\t\tvar DefaultDrivers = {\n\t\t    INDEXEDDB: asyncStorage,\n\t\t    WEBSQL: webSQLStorage,\n\t\t    LOCALSTORAGE: localStorageWrapper\n\t\t};\n\n\t\tvar DefaultDriverOrder = [DefaultDrivers.INDEXEDDB._driver, DefaultDrivers.WEBSQL._driver, DefaultDrivers.LOCALSTORAGE._driver];\n\n\t\tvar OptionalDriverMethods = ['dropInstance'];\n\n\t\tvar LibraryMethods = ['clear', 'getItem', 'iterate', 'key', 'keys', 'length', 'removeItem', 'setItem'].concat(OptionalDriverMethods);\n\n\t\tvar DefaultConfig = {\n\t\t    description: '',\n\t\t    driver: DefaultDriverOrder.slice(),\n\t\t    name: 'localforage',\n\t\t    // Default DB size is _JUST UNDER_ 5MB, as it's the highest size\n\t\t    // we can use without a prompt.\n\t\t    size: 4980736,\n\t\t    storeName: 'keyvaluepairs',\n\t\t    version: 1.0\n\t\t};\n\n\t\tfunction callWhenReady(localForageInstance, libraryMethod) {\n\t\t    localForageInstance[libraryMethod] = function () {\n\t\t        var _args = arguments;\n\t\t        return localForageInstance.ready().then(function () {\n\t\t            return localForageInstance[libraryMethod].apply(localForageInstance, _args);\n\t\t        });\n\t\t    };\n\t\t}\n\n\t\tfunction extend() {\n\t\t    for (var i = 1; i < arguments.length; i++) {\n\t\t        var arg = arguments[i];\n\n\t\t        if (arg) {\n\t\t            for (var _key in arg) {\n\t\t                if (arg.hasOwnProperty(_key)) {\n\t\t                    if (isArray(arg[_key])) {\n\t\t                        arguments[0][_key] = arg[_key].slice();\n\t\t                    } else {\n\t\t                        arguments[0][_key] = arg[_key];\n\t\t                    }\n\t\t                }\n\t\t            }\n\t\t        }\n\t\t    }\n\n\t\t    return arguments[0];\n\t\t}\n\n\t\tvar LocalForage = function () {\n\t\t    function LocalForage(options) {\n\t\t        _classCallCheck(this, LocalForage);\n\n\t\t        for (var driverTypeKey in DefaultDrivers) {\n\t\t            if (DefaultDrivers.hasOwnProperty(driverTypeKey)) {\n\t\t                var driver = DefaultDrivers[driverTypeKey];\n\t\t                var driverName = driver._driver;\n\t\t                this[driverTypeKey] = driverName;\n\n\t\t                if (!DefinedDrivers[driverName]) {\n\t\t                    // we don't need to wait for the promise,\n\t\t                    // since the default drivers can be defined\n\t\t                    // in a blocking manner\n\t\t                    this.defineDriver(driver);\n\t\t                }\n\t\t            }\n\t\t        }\n\n\t\t        this._defaultConfig = extend({}, DefaultConfig);\n\t\t        this._config = extend({}, this._defaultConfig, options);\n\t\t        this._driverSet = null;\n\t\t        this._initDriver = null;\n\t\t        this._ready = false;\n\t\t        this._dbInfo = null;\n\n\t\t        this._wrapLibraryMethodsWithReady();\n\t\t        this.setDriver(this._config.driver)[\"catch\"](function () {});\n\t\t    }\n\n\t\t    // Set any config values for localForage; can be called anytime before\n\t\t    // the first API call (e.g. `getItem`, `setItem`).\n\t\t    // We loop through options so we don't overwrite existing config\n\t\t    // values.\n\n\n\t\t    LocalForage.prototype.config = function config(options) {\n\t\t        // If the options argument is an object, we use it to set values.\n\t\t        // Otherwise, we return either a specified config value or all\n\t\t        // config values.\n\t\t        if ((typeof options === 'undefined' ? 'undefined' : _typeof(options)) === 'object') {\n\t\t            // If localforage is ready and fully initialized, we can't set\n\t\t            // any new configuration values. Instead, we return an error.\n\t\t            if (this._ready) {\n\t\t                return new Error(\"Can't call config() after localforage \" + 'has been used.');\n\t\t            }\n\n\t\t            for (var i in options) {\n\t\t                if (i === 'storeName') {\n\t\t                    options[i] = options[i].replace(/\\W/g, '_');\n\t\t                }\n\n\t\t                if (i === 'version' && typeof options[i] !== 'number') {\n\t\t                    return new Error('Database version must be a number.');\n\t\t                }\n\n\t\t                this._config[i] = options[i];\n\t\t            }\n\n\t\t            // after all config options are set and\n\t\t            // the driver option is used, try setting it\n\t\t            if ('driver' in options && options.driver) {\n\t\t                return this.setDriver(this._config.driver);\n\t\t            }\n\n\t\t            return true;\n\t\t        } else if (typeof options === 'string') {\n\t\t            return this._config[options];\n\t\t        } else {\n\t\t            return this._config;\n\t\t        }\n\t\t    };\n\n\t\t    // Used to define a custom driver, shared across all instances of\n\t\t    // localForage.\n\n\n\t\t    LocalForage.prototype.defineDriver = function defineDriver(driverObject, callback, errorCallback) {\n\t\t        var promise = new Promise$1(function (resolve, reject) {\n\t\t            try {\n\t\t                var driverName = driverObject._driver;\n\t\t                var complianceError = new Error('Custom driver not compliant; see ' + 'https://mozilla.github.io/localForage/#definedriver');\n\n\t\t                // A driver name should be defined and not overlap with the\n\t\t                // library-defined, default drivers.\n\t\t                if (!driverObject._driver) {\n\t\t                    reject(complianceError);\n\t\t                    return;\n\t\t                }\n\n\t\t                var driverMethods = LibraryMethods.concat('_initStorage');\n\t\t                for (var i = 0, len = driverMethods.length; i < len; i++) {\n\t\t                    var driverMethodName = driverMethods[i];\n\n\t\t                    // when the property is there,\n\t\t                    // it should be a method even when optional\n\t\t                    var isRequired = !includes(OptionalDriverMethods, driverMethodName);\n\t\t                    if ((isRequired || driverObject[driverMethodName]) && typeof driverObject[driverMethodName] !== 'function') {\n\t\t                        reject(complianceError);\n\t\t                        return;\n\t\t                    }\n\t\t                }\n\n\t\t                var configureMissingMethods = function configureMissingMethods() {\n\t\t                    var methodNotImplementedFactory = function methodNotImplementedFactory(methodName) {\n\t\t                        return function () {\n\t\t                            var error = new Error('Method ' + methodName + ' is not implemented by the current driver');\n\t\t                            var promise = Promise$1.reject(error);\n\t\t                            executeCallback(promise, arguments[arguments.length - 1]);\n\t\t                            return promise;\n\t\t                        };\n\t\t                    };\n\n\t\t                    for (var _i = 0, _len = OptionalDriverMethods.length; _i < _len; _i++) {\n\t\t                        var optionalDriverMethod = OptionalDriverMethods[_i];\n\t\t                        if (!driverObject[optionalDriverMethod]) {\n\t\t                            driverObject[optionalDriverMethod] = methodNotImplementedFactory(optionalDriverMethod);\n\t\t                        }\n\t\t                    }\n\t\t                };\n\n\t\t                configureMissingMethods();\n\n\t\t                var setDriverSupport = function setDriverSupport(support) {\n\t\t                    if (DefinedDrivers[driverName]) {\n\t\t                        console.info('Redefining LocalForage driver: ' + driverName);\n\t\t                    }\n\t\t                    DefinedDrivers[driverName] = driverObject;\n\t\t                    DriverSupport[driverName] = support;\n\t\t                    // don't use a then, so that we can define\n\t\t                    // drivers that have simple _support methods\n\t\t                    // in a blocking manner\n\t\t                    resolve();\n\t\t                };\n\n\t\t                if ('_support' in driverObject) {\n\t\t                    if (driverObject._support && typeof driverObject._support === 'function') {\n\t\t                        driverObject._support().then(setDriverSupport, reject);\n\t\t                    } else {\n\t\t                        setDriverSupport(!!driverObject._support);\n\t\t                    }\n\t\t                } else {\n\t\t                    setDriverSupport(true);\n\t\t                }\n\t\t            } catch (e) {\n\t\t                reject(e);\n\t\t            }\n\t\t        });\n\n\t\t        executeTwoCallbacks(promise, callback, errorCallback);\n\t\t        return promise;\n\t\t    };\n\n\t\t    LocalForage.prototype.driver = function driver() {\n\t\t        return this._driver || null;\n\t\t    };\n\n\t\t    LocalForage.prototype.getDriver = function getDriver(driverName, callback, errorCallback) {\n\t\t        var getDriverPromise = DefinedDrivers[driverName] ? Promise$1.resolve(DefinedDrivers[driverName]) : Promise$1.reject(new Error('Driver not found.'));\n\n\t\t        executeTwoCallbacks(getDriverPromise, callback, errorCallback);\n\t\t        return getDriverPromise;\n\t\t    };\n\n\t\t    LocalForage.prototype.getSerializer = function getSerializer(callback) {\n\t\t        var serializerPromise = Promise$1.resolve(localforageSerializer);\n\t\t        executeTwoCallbacks(serializerPromise, callback);\n\t\t        return serializerPromise;\n\t\t    };\n\n\t\t    LocalForage.prototype.ready = function ready(callback) {\n\t\t        var self = this;\n\n\t\t        var promise = self._driverSet.then(function () {\n\t\t            if (self._ready === null) {\n\t\t                self._ready = self._initDriver();\n\t\t            }\n\n\t\t            return self._ready;\n\t\t        });\n\n\t\t        executeTwoCallbacks(promise, callback, callback);\n\t\t        return promise;\n\t\t    };\n\n\t\t    LocalForage.prototype.setDriver = function setDriver(drivers, callback, errorCallback) {\n\t\t        var self = this;\n\n\t\t        if (!isArray(drivers)) {\n\t\t            drivers = [drivers];\n\t\t        }\n\n\t\t        var supportedDrivers = this._getSupportedDrivers(drivers);\n\n\t\t        function setDriverToConfig() {\n\t\t            self._config.driver = self.driver();\n\t\t        }\n\n\t\t        function extendSelfWithDriver(driver) {\n\t\t            self._extend(driver);\n\t\t            setDriverToConfig();\n\n\t\t            self._ready = self._initStorage(self._config);\n\t\t            return self._ready;\n\t\t        }\n\n\t\t        function initDriver(supportedDrivers) {\n\t\t            return function () {\n\t\t                var currentDriverIndex = 0;\n\n\t\t                function driverPromiseLoop() {\n\t\t                    while (currentDriverIndex < supportedDrivers.length) {\n\t\t                        var driverName = supportedDrivers[currentDriverIndex];\n\t\t                        currentDriverIndex++;\n\n\t\t                        self._dbInfo = null;\n\t\t                        self._ready = null;\n\n\t\t                        return self.getDriver(driverName).then(extendSelfWithDriver)[\"catch\"](driverPromiseLoop);\n\t\t                    }\n\n\t\t                    setDriverToConfig();\n\t\t                    var error = new Error('No available storage method found.');\n\t\t                    self._driverSet = Promise$1.reject(error);\n\t\t                    return self._driverSet;\n\t\t                }\n\n\t\t                return driverPromiseLoop();\n\t\t            };\n\t\t        }\n\n\t\t        // There might be a driver initialization in progress\n\t\t        // so wait for it to finish in order to avoid a possible\n\t\t        // race condition to set _dbInfo\n\t\t        var oldDriverSetDone = this._driverSet !== null ? this._driverSet[\"catch\"](function () {\n\t\t            return Promise$1.resolve();\n\t\t        }) : Promise$1.resolve();\n\n\t\t        this._driverSet = oldDriverSetDone.then(function () {\n\t\t            var driverName = supportedDrivers[0];\n\t\t            self._dbInfo = null;\n\t\t            self._ready = null;\n\n\t\t            return self.getDriver(driverName).then(function (driver) {\n\t\t                self._driver = driver._driver;\n\t\t                setDriverToConfig();\n\t\t                self._wrapLibraryMethodsWithReady();\n\t\t                self._initDriver = initDriver(supportedDrivers);\n\t\t            });\n\t\t        })[\"catch\"](function () {\n\t\t            setDriverToConfig();\n\t\t            var error = new Error('No available storage method found.');\n\t\t            self._driverSet = Promise$1.reject(error);\n\t\t            return self._driverSet;\n\t\t        });\n\n\t\t        executeTwoCallbacks(this._driverSet, callback, errorCallback);\n\t\t        return this._driverSet;\n\t\t    };\n\n\t\t    LocalForage.prototype.supports = function supports(driverName) {\n\t\t        return !!DriverSupport[driverName];\n\t\t    };\n\n\t\t    LocalForage.prototype._extend = function _extend(libraryMethodsAndProperties) {\n\t\t        extend(this, libraryMethodsAndProperties);\n\t\t    };\n\n\t\t    LocalForage.prototype._getSupportedDrivers = function _getSupportedDrivers(drivers) {\n\t\t        var supportedDrivers = [];\n\t\t        for (var i = 0, len = drivers.length; i < len; i++) {\n\t\t            var driverName = drivers[i];\n\t\t            if (this.supports(driverName)) {\n\t\t                supportedDrivers.push(driverName);\n\t\t            }\n\t\t        }\n\t\t        return supportedDrivers;\n\t\t    };\n\n\t\t    LocalForage.prototype._wrapLibraryMethodsWithReady = function _wrapLibraryMethodsWithReady() {\n\t\t        // Add a stub for each driver API method that delays the call to the\n\t\t        // corresponding driver method until localForage is ready. These stubs\n\t\t        // will be replaced by the driver methods as soon as the driver is\n\t\t        // loaded, so there is no performance impact.\n\t\t        for (var i = 0, len = LibraryMethods.length; i < len; i++) {\n\t\t            callWhenReady(this, LibraryMethods[i]);\n\t\t        }\n\t\t    };\n\n\t\t    LocalForage.prototype.createInstance = function createInstance(options) {\n\t\t        return new LocalForage(options);\n\t\t    };\n\n\t\t    return LocalForage;\n\t\t}();\n\n\t\t// The actual localForage object that we expose as a module or via a\n\t\t// global. It's extended by pulling in one of our other libraries.\n\n\n\t\tvar localforage_js = new LocalForage();\n\n\t\tmodule.exports = localforage_js;\n\n\t\t},{\"3\":3}]},{},[4])(4)\n\t\t}); \n\t} (localforage$1));\n\treturn localforage$1.exports;\n}\n\nvar localforageExports = requireLocalforage();\nvar localforage = /*@__PURE__*/getDefaultExportFromCjs(localforageExports);\n\nvar jszip_min = {exports: {}};\n\n/*!\n\nJSZip v3.10.1 - A JavaScript class for generating and reading zip files\n<http://stuartk.com/jszip>\n\n(c) 2009-2016 Stuart Knightley <stuart [at] stuartk.com>\nDual licenced under the MIT license or GPLv3. See https://raw.github.com/Stuk/jszip/main/LICENSE.markdown.\n\nJSZip uses the library pako released under the MIT license :\nhttps://github.com/nodeca/pako/blob/main/LICENSE\n*/\n\nvar hasRequiredJszip_min;\n\nfunction requireJszip_min () {\n\tif (hasRequiredJszip_min) return jszip_min.exports;\n\thasRequiredJszip_min = 1;\n\t(function (module, exports$1) {\n\t\t!function(e){module.exports=e();}(function(){return function s(a,o,h){function u(r,e){if(!o[r]){if(!a[r]){var t=\"function\"==typeof commonjsRequire&&commonjsRequire;if(!e&&t)return t(r,true);if(l)return l(r,true);var n=new Error(\"Cannot find module '\"+r+\"'\");throw n.code=\"MODULE_NOT_FOUND\",n}var i=o[r]={exports:{}};a[r][0].call(i.exports,function(e){var t=a[r][1][e];return u(t||e)},i,i.exports,s,a,o,h);}return o[r].exports}for(var l=\"function\"==typeof commonjsRequire&&commonjsRequire,e=0;e<h.length;e++)u(h[e]);return u}({1:[function(e,t,r){var d=e(\"./utils\"),c=e(\"./support\"),p=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=\";r.encode=function(e){for(var t,r,n,i,s,a,o,h=[],u=0,l=e.length,f=l,c=\"string\"!==d.getTypeOf(e);u<e.length;)f=l-u,n=c?(t=e[u++],r=u<l?e[u++]:0,u<l?e[u++]:0):(t=e.charCodeAt(u++),r=u<l?e.charCodeAt(u++):0,u<l?e.charCodeAt(u++):0),i=t>>2,s=(3&t)<<4|r>>4,a=1<f?(15&r)<<2|n>>6:64,o=2<f?63&n:64,h.push(p.charAt(i)+p.charAt(s)+p.charAt(a)+p.charAt(o));return h.join(\"\")},r.decode=function(e){var t,r,n,i,s,a,o=0,h=0,u=\"data:\";if(e.substr(0,u.length)===u)throw new Error(\"Invalid base64 input, it looks like a data url.\");var l,f=3*(e=e.replace(/[^A-Za-z0-9+/=]/g,\"\")).length/4;if(e.charAt(e.length-1)===p.charAt(64)&&f--,e.charAt(e.length-2)===p.charAt(64)&&f--,f%1!=0)throw new Error(\"Invalid base64 input, bad content length.\");for(l=c.uint8array?new Uint8Array(0|f):new Array(0|f);o<e.length;)t=p.indexOf(e.charAt(o++))<<2|(i=p.indexOf(e.charAt(o++)))>>4,r=(15&i)<<4|(s=p.indexOf(e.charAt(o++)))>>2,n=(3&s)<<6|(a=p.indexOf(e.charAt(o++))),l[h++]=t,64!==s&&(l[h++]=r),64!==a&&(l[h++]=n);return l};},{\"./support\":30,\"./utils\":32}],2:[function(e,t,r){var n=e(\"./external\"),i=e(\"./stream/DataWorker\"),s=e(\"./stream/Crc32Probe\"),a=e(\"./stream/DataLengthProbe\");function o(e,t,r,n,i){this.compressedSize=e,this.uncompressedSize=t,this.crc32=r,this.compression=n,this.compressedContent=i;}o.prototype={getContentWorker:function(){var e=new i(n.Promise.resolve(this.compressedContent)).pipe(this.compression.uncompressWorker()).pipe(new a(\"data_length\")),t=this;return e.on(\"end\",function(){if(this.streamInfo.data_length!==t.uncompressedSize)throw new Error(\"Bug : uncompressed data size mismatch\")}),e},getCompressedWorker:function(){return new i(n.Promise.resolve(this.compressedContent)).withStreamInfo(\"compressedSize\",this.compressedSize).withStreamInfo(\"uncompressedSize\",this.uncompressedSize).withStreamInfo(\"crc32\",this.crc32).withStreamInfo(\"compression\",this.compression)}},o.createWorkerFrom=function(e,t,r){return e.pipe(new s).pipe(new a(\"uncompressedSize\")).pipe(t.compressWorker(r)).pipe(new a(\"compressedSize\")).withStreamInfo(\"compression\",t)},t.exports=o;},{\"./external\":6,\"./stream/Crc32Probe\":25,\"./stream/DataLengthProbe\":26,\"./stream/DataWorker\":27}],3:[function(e,t,r){var n=e(\"./stream/GenericWorker\");r.STORE={magic:\"\\0\\0\",compressWorker:function(){return new n(\"STORE compression\")},uncompressWorker:function(){return new n(\"STORE decompression\")}},r.DEFLATE=e(\"./flate\");},{\"./flate\":7,\"./stream/GenericWorker\":28}],4:[function(e,t,r){var n=e(\"./utils\");var o=function(){for(var e,t=[],r=0;r<256;r++){e=r;for(var n=0;n<8;n++)e=1&e?3988292384^e>>>1:e>>>1;t[r]=e;}return t}();t.exports=function(e,t){return void 0!==e&&e.length?\"string\"!==n.getTypeOf(e)?function(e,t,r,n){var i=o,s=n+r;e^=-1;for(var a=n;a<s;a++)e=e>>>8^i[255&(e^t[a])];return  -1^e}(0|t,e,e.length,0):function(e,t,r,n){var i=o,s=n+r;e^=-1;for(var a=n;a<s;a++)e=e>>>8^i[255&(e^t.charCodeAt(a))];return  -1^e}(0|t,e,e.length,0):0};},{\"./utils\":32}],5:[function(e,t,r){r.base64=false,r.binary=false,r.dir=false,r.createFolders=true,r.date=null,r.compression=null,r.compressionOptions=null,r.comment=null,r.unixPermissions=null,r.dosPermissions=null;},{}],6:[function(e,t,r){var n=null;n=\"undefined\"!=typeof Promise?Promise:e(\"lie\"),t.exports={Promise:n};},{lie:37}],7:[function(e,t,r){var n=\"undefined\"!=typeof Uint8Array&&\"undefined\"!=typeof Uint16Array&&\"undefined\"!=typeof Uint32Array,i=e(\"pako\"),s=e(\"./utils\"),a=e(\"./stream/GenericWorker\"),o=n?\"uint8array\":\"array\";function h(e,t){a.call(this,\"FlateWorker/\"+e),this._pako=null,this._pakoAction=e,this._pakoOptions=t,this.meta={};}r.magic=\"\\b\\0\",s.inherits(h,a),h.prototype.processChunk=function(e){this.meta=e.meta,null===this._pako&&this._createPako(),this._pako.push(s.transformTo(o,e.data),false);},h.prototype.flush=function(){a.prototype.flush.call(this),null===this._pako&&this._createPako(),this._pako.push([],true);},h.prototype.cleanUp=function(){a.prototype.cleanUp.call(this),this._pako=null;},h.prototype._createPako=function(){this._pako=new i[this._pakoAction]({raw:true,level:this._pakoOptions.level||-1});var t=this;this._pako.onData=function(e){t.push({data:e,meta:t.meta});};},r.compressWorker=function(e){return new h(\"Deflate\",e)},r.uncompressWorker=function(){return new h(\"Inflate\",{})};},{\"./stream/GenericWorker\":28,\"./utils\":32,pako:38}],8:[function(e,t,r){function A(e,t){var r,n=\"\";for(r=0;r<t;r++)n+=String.fromCharCode(255&e),e>>>=8;return n}function n(e,t,r,n,i,s){var a,o,h=e.file,u=e.compression,l=s!==O.utf8encode,f=I.transformTo(\"string\",s(h.name)),c=I.transformTo(\"string\",O.utf8encode(h.name)),d=h.comment,p=I.transformTo(\"string\",s(d)),m=I.transformTo(\"string\",O.utf8encode(d)),_=c.length!==h.name.length,g=m.length!==d.length,b=\"\",v=\"\",y=\"\",w=h.dir,k=h.date,x={crc32:0,compressedSize:0,uncompressedSize:0};t&&!r||(x.crc32=e.crc32,x.compressedSize=e.compressedSize,x.uncompressedSize=e.uncompressedSize);var S=0;t&&(S|=8),l||!_&&!g||(S|=2048);var z=0,C=0;w&&(z|=16),\"UNIX\"===i?(C=798,z|=function(e,t){var r=e;return e||(r=t?16893:33204),(65535&r)<<16}(h.unixPermissions,w)):(C=20,z|=function(e){return 63&(e||0)}(h.dosPermissions)),a=k.getUTCHours(),a<<=6,a|=k.getUTCMinutes(),a<<=5,a|=k.getUTCSeconds()/2,o=k.getUTCFullYear()-1980,o<<=4,o|=k.getUTCMonth()+1,o<<=5,o|=k.getUTCDate(),_&&(v=A(1,1)+A(B(f),4)+c,b+=\"up\"+A(v.length,2)+v),g&&(y=A(1,1)+A(B(p),4)+m,b+=\"uc\"+A(y.length,2)+y);var E=\"\";return E+=\"\\n\\0\",E+=A(S,2),E+=u.magic,E+=A(a,2),E+=A(o,2),E+=A(x.crc32,4),E+=A(x.compressedSize,4),E+=A(x.uncompressedSize,4),E+=A(f.length,2),E+=A(b.length,2),{fileRecord:R.LOCAL_FILE_HEADER+E+f+b,dirRecord:R.CENTRAL_FILE_HEADER+A(C,2)+E+A(p.length,2)+\"\\0\\0\\0\\0\"+A(z,4)+A(n,4)+f+b+p}}var I=e(\"../utils\"),i=e(\"../stream/GenericWorker\"),O=e(\"../utf8\"),B=e(\"../crc32\"),R=e(\"../signature\");function s(e,t,r,n){i.call(this,\"ZipFileWorker\"),this.bytesWritten=0,this.zipComment=t,this.zipPlatform=r,this.encodeFileName=n,this.streamFiles=e,this.accumulate=false,this.contentBuffer=[],this.dirRecords=[],this.currentSourceOffset=0,this.entriesCount=0,this.currentFile=null,this._sources=[];}I.inherits(s,i),s.prototype.push=function(e){var t=e.meta.percent||0,r=this.entriesCount,n=this._sources.length;this.accumulate?this.contentBuffer.push(e):(this.bytesWritten+=e.data.length,i.prototype.push.call(this,{data:e.data,meta:{currentFile:this.currentFile,percent:r?(t+100*(r-n-1))/r:100}}));},s.prototype.openedSource=function(e){this.currentSourceOffset=this.bytesWritten,this.currentFile=e.file.name;var t=this.streamFiles&&!e.file.dir;if(t){var r=n(e,t,false,this.currentSourceOffset,this.zipPlatform,this.encodeFileName);this.push({data:r.fileRecord,meta:{percent:0}});}else this.accumulate=true;},s.prototype.closedSource=function(e){this.accumulate=false;var t=this.streamFiles&&!e.file.dir,r=n(e,t,true,this.currentSourceOffset,this.zipPlatform,this.encodeFileName);if(this.dirRecords.push(r.dirRecord),t)this.push({data:function(e){return R.DATA_DESCRIPTOR+A(e.crc32,4)+A(e.compressedSize,4)+A(e.uncompressedSize,4)}(e),meta:{percent:100}});else for(this.push({data:r.fileRecord,meta:{percent:0}});this.contentBuffer.length;)this.push(this.contentBuffer.shift());this.currentFile=null;},s.prototype.flush=function(){for(var e=this.bytesWritten,t=0;t<this.dirRecords.length;t++)this.push({data:this.dirRecords[t],meta:{percent:100}});var r=this.bytesWritten-e,n=function(e,t,r,n,i){var s=I.transformTo(\"string\",i(n));return R.CENTRAL_DIRECTORY_END+\"\\0\\0\\0\\0\"+A(e,2)+A(e,2)+A(t,4)+A(r,4)+A(s.length,2)+s}(this.dirRecords.length,r,e,this.zipComment,this.encodeFileName);this.push({data:n,meta:{percent:100}});},s.prototype.prepareNextSource=function(){this.previous=this._sources.shift(),this.openedSource(this.previous.streamInfo),this.isPaused?this.previous.pause():this.previous.resume();},s.prototype.registerPrevious=function(e){this._sources.push(e);var t=this;return e.on(\"data\",function(e){t.processChunk(e);}),e.on(\"end\",function(){t.closedSource(t.previous.streamInfo),t._sources.length?t.prepareNextSource():t.end();}),e.on(\"error\",function(e){t.error(e);}),this},s.prototype.resume=function(){return !!i.prototype.resume.call(this)&&(!this.previous&&this._sources.length?(this.prepareNextSource(),true):this.previous||this._sources.length||this.generatedError?void 0:(this.end(),true))},s.prototype.error=function(e){var t=this._sources;if(!i.prototype.error.call(this,e))return  false;for(var r=0;r<t.length;r++)try{t[r].error(e);}catch(e){}return  true},s.prototype.lock=function(){i.prototype.lock.call(this);for(var e=this._sources,t=0;t<e.length;t++)e[t].lock();},t.exports=s;},{\"../crc32\":4,\"../signature\":23,\"../stream/GenericWorker\":28,\"../utf8\":31,\"../utils\":32}],9:[function(e,t,r){var u=e(\"../compressions\"),n=e(\"./ZipFileWorker\");r.generateWorker=function(e,a,t){var o=new n(a.streamFiles,t,a.platform,a.encodeFileName),h=0;try{e.forEach(function(e,t){h++;var r=function(e,t){var r=e||t,n=u[r];if(!n)throw new Error(r+\" is not a valid compression method !\");return n}(t.options.compression,a.compression),n=t.options.compressionOptions||a.compressionOptions||{},i=t.dir,s=t.date;t._compressWorker(r,n).withStreamInfo(\"file\",{name:e,dir:i,date:s,comment:t.comment||\"\",unixPermissions:t.unixPermissions,dosPermissions:t.dosPermissions}).pipe(o);}),o.entriesCount=h;}catch(e){o.error(e);}return o};},{\"../compressions\":3,\"./ZipFileWorker\":8}],10:[function(e,t,r){function n(){if(!(this instanceof n))return new n;if(arguments.length)throw new Error(\"The constructor with parameters has been removed in JSZip 3.0, please check the upgrade guide.\");this.files=Object.create(null),this.comment=null,this.root=\"\",this.clone=function(){var e=new n;for(var t in this)\"function\"!=typeof this[t]&&(e[t]=this[t]);return e};}(n.prototype=e(\"./object\")).loadAsync=e(\"./load\"),n.support=e(\"./support\"),n.defaults=e(\"./defaults\"),n.version=\"3.10.1\",n.loadAsync=function(e,t){return (new n).loadAsync(e,t)},n.external=e(\"./external\"),t.exports=n;},{\"./defaults\":5,\"./external\":6,\"./load\":11,\"./object\":15,\"./support\":30}],11:[function(e,t,r){var u=e(\"./utils\"),i=e(\"./external\"),n=e(\"./utf8\"),s=e(\"./zipEntries\"),a=e(\"./stream/Crc32Probe\"),l=e(\"./nodejsUtils\");function f(n){return new i.Promise(function(e,t){var r=n.decompressed.getContentWorker().pipe(new a);r.on(\"error\",function(e){t(e);}).on(\"end\",function(){r.streamInfo.crc32!==n.decompressed.crc32?t(new Error(\"Corrupted zip : CRC32 mismatch\")):e();}).resume();})}t.exports=function(e,o){var h=this;return o=u.extend(o||{},{base64:false,checkCRC32:false,optimizedBinaryString:false,createFolders:false,decodeFileName:n.utf8decode}),l.isNode&&l.isStream(e)?i.Promise.reject(new Error(\"JSZip can't accept a stream when loading 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n=this;e.on(\"data\",function(e,t){n.push(e)||n._helper.pause(),r&&r(t);}).on(\"error\",function(e){n.emit(\"error\",e);}).on(\"end\",function(){n.push(null);});}e(\"../utils\").inherits(n,i),n.prototype._read=function(){this._helper.resume();},t.exports=n;},{\"../utils\":32,\"readable-stream\":16}],14:[function(e,t,r){t.exports={isNode:\"undefined\"!=typeof Buffer,newBufferFrom:function(e,t){if(Buffer.from&&Buffer.from!==Uint8Array.from)return Buffer.from(e,t);if(\"number\"==typeof e)throw new Error('The \"data\" argument must not be a number');return new Buffer(e,t)},allocBuffer:function(e){if(Buffer.alloc)return Buffer.alloc(e);var t=new Buffer(e);return t.fill(0),t},isBuffer:function(e){return Buffer.isBuffer(e)},isStream:function(e){return e&&\"function\"==typeof e.on&&\"function\"==typeof e.pause&&\"function\"==typeof e.resume}};},{}],15:[function(e,t,r){function s(e,t,r){var n,i=u.getTypeOf(t),s=u.extend(r||{},f);s.date=s.date||new Date,null!==s.compression&&(s.compression=s.compression.toUpperCase()),\"string\"==typeof s.unixPermissions&&(s.unixPermissions=parseInt(s.unixPermissions,8)),s.unixPermissions&&16384&s.unixPermissions&&(s.dir=true),s.dosPermissions&&16&s.dosPermissions&&(s.dir=true),s.dir&&(e=g(e)),s.createFolders&&(n=_(e))&&b.call(this,n,true);var a=\"string\"===i&&false===s.binary&&false===s.base64;r&&void 0!==r.binary||(s.binary=!a),(t instanceof c&&0===t.uncompressedSize||s.dir||!t||0===t.length)&&(s.base64=false,s.binary=true,t=\"\",s.compression=\"STORE\",i=\"string\");var o=null;o=t instanceof c||t instanceof l?t:p.isNode&&p.isStream(t)?new m(e,t):u.prepareContent(e,t,s.binary,s.optimizedBinaryString,s.base64);var h=new d(e,o,s);this.files[e]=h;}var i=e(\"./utf8\"),u=e(\"./utils\"),l=e(\"./stream/GenericWorker\"),a=e(\"./stream/StreamHelper\"),f=e(\"./defaults\"),c=e(\"./compressedObject\"),d=e(\"./zipObject\"),o=e(\"./generate\"),p=e(\"./nodejsUtils\"),m=e(\"./nodejs/NodejsStreamInputAdapter\"),_=function(e){\"/\"===e.slice(-1)&&(e=e.substring(0,e.length-1));var t=e.lastIndexOf(\"/\");return 0<t?e.substring(0,t):\"\"},g=function(e){return \"/\"!==e.slice(-1)&&(e+=\"/\"),e},b=function(e,t){return t=void 0!==t?t:f.createFolders,e=g(e),this.files[e]||s.call(this,e,null,{dir:true,createFolders:t}),this.files[e]};function h(e){return \"[object RegExp]\"===Object.prototype.toString.call(e)}var n={load:function(){throw new Error(\"This method has been removed in JSZip 3.0, please check the upgrade guide.\")},forEach:function(e){var t,r,n;for(t in this.files)n=this.files[t],(r=t.slice(this.root.length,t.length))&&t.slice(0,this.root.length)===this.root&&e(r,n);},filter:function(r){var n=[];return this.forEach(function(e,t){r(e,t)&&n.push(t);}),n},file:function(e,t,r){if(1!==arguments.length)return e=this.root+e,s.call(this,e,t,r),this;if(h(e)){var n=e;return this.filter(function(e,t){return !t.dir&&n.test(e)})}var i=this.files[this.root+e];return i&&!i.dir?i:null},folder:function(r){if(!r)return this;if(h(r))return this.filter(function(e,t){return t.dir&&r.test(e)});var e=this.root+r,t=b.call(this,e),n=this.clone();return n.root=t.name,n},remove:function(r){r=this.root+r;var e=this.files[r];if(e||(\"/\"!==r.slice(-1)&&(r+=\"/\"),e=this.files[r]),e&&!e.dir)delete this.files[r];else for(var t=this.filter(function(e,t){return t.name.slice(0,r.length)===r}),n=0;n<t.length;n++)delete this.files[t[n].name];return this},generate:function(){throw new Error(\"This method has been removed in JSZip 3.0, please check the upgrade guide.\")},generateInternalStream:function(e){var t,r={};try{if((r=u.extend(e||{},{streamFiles:!1,compression:\"STORE\",compressionOptions:null,type:\"\",platform:\"DOS\",comment:null,mimeType:\"application/zip\",encodeFileName:i.utf8encode})).type=r.type.toLowerCase(),r.compression=r.compression.toUpperCase(),\"binarystring\"===r.type&&(r.type=\"string\"),!r.type)throw new Error(\"No output type specified.\");u.checkSupport(r.type),\"darwin\"!==r.platform&&\"freebsd\"!==r.platform&&\"linux\"!==r.platform&&\"sunos\"!==r.platform||(r.platform=\"UNIX\"),\"win32\"===r.platform&&(r.platform=\"DOS\");var n=r.comment||this.comment||\"\";t=o.generateWorker(this,r,n);}catch(e){(t=new l(\"error\")).error(e);}return new a(t,r.type||\"string\",r.mimeType)},generateAsync:function(e,t){return this.generateInternalStream(e).accumulate(t)},generateNodeStream:function(e,t){return (e=e||{}).type||(e.type=\"nodebuffer\"),this.generateInternalStream(e).toNodejsStream(t)}};t.exports=n;},{\"./compressedObject\":2,\"./defaults\":5,\"./generate\":9,\"./nodejs/NodejsStreamInputAdapter\":12,\"./nodejsUtils\":14,\"./stream/GenericWorker\":28,\"./stream/StreamHelper\":29,\"./utf8\":31,\"./utils\":32,\"./zipObject\":35}],16:[function(e,t,r){t.exports=e(\"stream\");},{stream:void 0}],17:[function(e,t,r){var n=e(\"./DataReader\");function i(e){n.call(this,e);for(var t=0;t<this.data.length;t++)e[t]=255&e[t];}e(\"../utils\").inherits(i,n),i.prototype.byteAt=function(e){return this.data[this.zero+e]},i.prototype.lastIndexOfSignature=function(e){for(var t=e.charCodeAt(0),r=e.charCodeAt(1),n=e.charCodeAt(2),i=e.charCodeAt(3),s=this.length-4;0<=s;--s)if(this.data[s]===t&&this.data[s+1]===r&&this.data[s+2]===n&&this.data[s+3]===i)return s-this.zero;return  -1},i.prototype.readAndCheckSignature=function(e){var t=e.charCodeAt(0),r=e.charCodeAt(1),n=e.charCodeAt(2),i=e.charCodeAt(3),s=this.readData(4);return t===s[0]&&r===s[1]&&n===s[2]&&i===s[3]},i.prototype.readData=function(e){if(this.checkOffset(e),0===e)return [];var t=this.data.slice(this.zero+this.index,this.zero+this.index+e);return this.index+=e,t},t.exports=i;},{\"../utils\":32,\"./DataReader\":18}],18:[function(e,t,r){var n=e(\"../utils\");function i(e){this.data=e,this.length=e.length,this.index=0,this.zero=0;}i.prototype={checkOffset:function(e){this.checkIndex(this.index+e);},checkIndex:function(e){if(this.length<this.zero+e||e<0)throw new Error(\"End of data reached (data length = \"+this.length+\", asked index = \"+e+\"). 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i(e){n.call(this,e);}e(\"../utils\").inherits(i,n),i.prototype.byteAt=function(e){return this.data.charCodeAt(this.zero+e)},i.prototype.lastIndexOfSignature=function(e){return this.data.lastIndexOf(e)-this.zero},i.prototype.readAndCheckSignature=function(e){return e===this.readData(4)},i.prototype.readData=function(e){this.checkOffset(e);var t=this.data.slice(this.zero+this.index,this.zero+this.index+e);return this.index+=e,t},t.exports=i;},{\"../utils\":32,\"./DataReader\":18}],21:[function(e,t,r){var n=e(\"./ArrayReader\");function i(e){n.call(this,e);}e(\"../utils\").inherits(i,n),i.prototype.readData=function(e){if(this.checkOffset(e),0===e)return new Uint8Array(0);var t=this.data.subarray(this.zero+this.index,this.zero+this.index+e);return this.index+=e,t},t.exports=i;},{\"../utils\":32,\"./ArrayReader\":17}],22:[function(e,t,r){var n=e(\"../utils\"),i=e(\"../support\"),s=e(\"./ArrayReader\"),a=e(\"./StringReader\"),o=e(\"./NodeBufferReader\"),h=e(\"./Uint8ArrayReader\");t.exports=function(e){var t=n.getTypeOf(e);return n.checkSupport(t),\"string\"!==t||i.uint8array?\"nodebuffer\"===t?new o(e):i.uint8array?new h(n.transformTo(\"uint8array\",e)):new s(n.transformTo(\"array\",e)):new a(e)};},{\"../support\":30,\"../utils\":32,\"./ArrayReader\":17,\"./NodeBufferReader\":19,\"./StringReader\":20,\"./Uint8ArrayReader\":21}],23:[function(e,t,r){r.LOCAL_FILE_HEADER=\"PK\u0003\u0004\",r.CENTRAL_FILE_HEADER=\"PK\u0001\u0002\",r.CENTRAL_DIRECTORY_END=\"PK\u0005\u0006\",r.ZIP64_CENTRAL_DIRECTORY_LOCATOR=\"PK\u0006\u0007\",r.ZIP64_CENTRAL_DIRECTORY_END=\"PK\u0006\u0006\",r.DATA_DESCRIPTOR=\"PK\u0007\\b\";},{}],24:[function(e,t,r){var n=e(\"./GenericWorker\"),i=e(\"../utils\");function s(e){n.call(this,\"ConvertWorker to 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n=e(\"../utils\"),i=e(\"./GenericWorker\");function s(e){i.call(this,\"DataWorker\");var t=this;this.dataIsReady=false,this.index=0,this.max=0,this.data=null,this.type=\"\",this._tickScheduled=false,e.then(function(e){t.dataIsReady=true,t.data=e,t.max=e&&e.length||0,t.type=n.getTypeOf(e),t.isPaused||t._tickAndRepeat();},function(e){t.error(e);});}n.inherits(s,i),s.prototype.cleanUp=function(){i.prototype.cleanUp.call(this),this.data=null;},s.prototype.resume=function(){return !!i.prototype.resume.call(this)&&(!this._tickScheduled&&this.dataIsReady&&(this._tickScheduled=true,n.delay(this._tickAndRepeat,[],this)),true)},s.prototype._tickAndRepeat=function(){this._tickScheduled=false,this.isPaused||this.isFinished||(this._tick(),this.isFinished||(n.delay(this._tickAndRepeat,[],this),this._tickScheduled=true));},s.prototype._tick=function(){if(this.isPaused||this.isFinished)return  false;var e=null,t=Math.min(this.max,this.index+16384);if(this.index>=this.max)return this.end();switch(this.type){case \"string\":e=this.data.substring(this.index,t);break;case \"uint8array\":e=this.data.subarray(this.index,t);break;case \"array\":case \"nodebuffer\":e=this.data.slice(this.index,t);}return this.index=t,this.push({data:e,meta:{percent:this.max?this.index/this.max*100:0}})},t.exports=s;},{\"../utils\":32,\"./GenericWorker\":28}],28:[function(e,t,r){function n(e){this.name=e||\"default\",this.streamInfo={},this.generatedError=null,this.extraStreamInfo={},this.isPaused=true,this.isFinished=false,this.isLocked=false,this._listeners={data:[],end:[],error:[]},this.previous=null;}n.prototype={push:function(e){this.emit(\"data\",e);},end:function(){if(this.isFinished)return  false;this.flush();try{this.emit(\"end\"),this.cleanUp(),this.isFinished=!0;}catch(e){this.emit(\"error\",e);}return  true},error:function(e){return !this.isFinished&&(this.isPaused?this.generatedError=e:(this.isFinished=true,this.emit(\"error\",e),this.previous&&this.previous.error(e),this.cleanUp()),true)},on:function(e,t){return this._listeners[e].push(t),this},cleanUp:function(){this.streamInfo=this.generatedError=this.extraStreamInfo=null,this._listeners=[];},emit:function(e,t){if(this._listeners[e])for(var r=0;r<this._listeners[e].length;r++)this._listeners[e][r].call(this,t);},pipe:function(e){return e.registerPrevious(this)},registerPrevious:function(e){if(this.isLocked)throw new Error(\"The stream '\"+this+\"' has already been used.\");this.streamInfo=e.streamInfo,this.mergeStreamInfo(),this.previous=e;var t=this;return e.on(\"data\",function(e){t.processChunk(e);}),e.on(\"end\",function(){t.end();}),e.on(\"error\",function(e){t.error(e);}),this},pause:function(){return !this.isPaused&&!this.isFinished&&(this.isPaused=true,this.previous&&this.previous.pause(),true)},resume:function(){if(!this.isPaused||this.isFinished)return  false;var e=this.isPaused=false;return this.generatedError&&(this.error(this.generatedError),e=true),this.previous&&this.previous.resume(),!e},flush:function(){},processChunk:function(e){this.push(e);},withStreamInfo:function(e,t){return this.extraStreamInfo[e]=t,this.mergeStreamInfo(),this},mergeStreamInfo:function(){for(var e in this.extraStreamInfo)Object.prototype.hasOwnProperty.call(this.extraStreamInfo,e)&&(this.streamInfo[e]=this.extraStreamInfo[e]);},lock:function(){if(this.isLocked)throw new Error(\"The stream '\"+this+\"' has already been used.\");this.isLocked=true,this.previous&&this.previous.lock();},toString:function(){var e=\"Worker \"+this.name;return this.previous?this.previous+\" -> \"+e:e}},t.exports=n;},{}],29:[function(e,t,r){var h=e(\"../utils\"),i=e(\"./ConvertWorker\"),s=e(\"./GenericWorker\"),u=e(\"../base64\"),n=e(\"../support\"),a=e(\"../external\"),o=null;if(n.nodestream)try{o=e(\"../nodejs/NodejsStreamOutputAdapter\");}catch(e){}function l(e,o){return new a.Promise(function(t,r){var n=[],i=e._internalType,s=e._outputType,a=e._mimeType;e.on(\"data\",function(e,t){n.push(e),o&&o(t);}).on(\"error\",function(e){n=[],r(e);}).on(\"end\",function(){try{var e=function(e,t,r){switch(e){case \"blob\":return h.newBlob(h.transformTo(\"arraybuffer\",t),r);case \"base64\":return u.encode(t);default:return h.transformTo(e,t)}}(s,function(e,t){var r,n=0,i=null,s=0;for(r=0;r<t.length;r++)s+=t[r].length;switch(e){case \"string\":return t.join(\"\");case \"array\":return Array.prototype.concat.apply([],t);case \"uint8array\":for(i=new Uint8Array(s),r=0;r<t.length;r++)i.set(t[r],n),n+=t[r].length;return i;case \"nodebuffer\":return Buffer.concat(t);default:throw new Error(\"concat : unsupported type '\"+e+\"'\")}}(i,n),a);t(e);}catch(e){r(e);}n=[];}).resume();})}function f(e,t,r){var n=t;switch(t){case \"blob\":case \"arraybuffer\":n=\"uint8array\";break;case \"base64\":n=\"string\";}try{this._internalType=n,this._outputType=t,this._mimeType=r,h.checkSupport(n),this._worker=e.pipe(new i(n)),e.lock();}catch(e){this._worker=new s(\"error\"),this._worker.error(e);}}f.prototype={accumulate:function(e){return l(this,e)},on:function(e,t){var r=this;return \"data\"===e?this._worker.on(e,function(e){t.call(r,e.data,e.meta);}):this._worker.on(e,function(){h.delay(t,arguments,r);}),this},resume:function(){return h.delay(this._worker.resume,[],this._worker),this},pause:function(){return this._worker.pause(),this},toNodejsStream:function(e){if(h.checkSupport(\"nodestream\"),\"nodebuffer\"!==this._outputType)throw new Error(this._outputType+\" is not supported by this method\");return new o(this,{objectMode:\"nodebuffer\"!==this._outputType},e)}},t.exports=f;},{\"../base64\":1,\"../external\":6,\"../nodejs/NodejsStreamOutputAdapter\":13,\"../support\":30,\"../utils\":32,\"./ConvertWorker\":24,\"./GenericWorker\":28}],30:[function(e,t,r){if(r.base64=true,r.array=true,r.string=true,r.arraybuffer=\"undefined\"!=typeof ArrayBuffer&&\"undefined\"!=typeof Uint8Array,r.nodebuffer=\"undefined\"!=typeof Buffer,r.uint8array=\"undefined\"!=typeof Uint8Array,\"undefined\"==typeof ArrayBuffer)r.blob=false;else {var n=new ArrayBuffer(0);try{r.blob=0===new Blob([n],{type:\"application/zip\"}).size;}catch(e){try{var i=new(self.BlobBuilder||self.WebKitBlobBuilder||self.MozBlobBuilder||self.MSBlobBuilder);i.append(n),r.blob=0===i.getBlob(\"application/zip\").size;}catch(e){r.blob=false;}}}try{r.nodestream=!!e(\"readable-stream\").Readable;}catch(e){r.nodestream=false;}},{\"readable-stream\":16}],31:[function(e,t,s){for(var o=e(\"./utils\"),h=e(\"./support\"),r=e(\"./nodejsUtils\"),n=e(\"./stream/GenericWorker\"),u=new Array(256),i=0;i<256;i++)u[i]=252<=i?6:248<=i?5:240<=i?4:224<=i?3:192<=i?2:1;u[254]=u[254]=1;function a(){n.call(this,\"utf-8 decode\"),this.leftOver=null;}function l(){n.call(this,\"utf-8 encode\");}s.utf8encode=function(e){return h.nodebuffer?r.newBufferFrom(e,\"utf-8\"):function(e){var t,r,n,i,s,a=e.length,o=0;for(i=0;i<a;i++)55296==(64512&(r=e.charCodeAt(i)))&&i+1<a&&56320==(64512&(n=e.charCodeAt(i+1)))&&(r=65536+(r-55296<<10)+(n-56320),i++),o+=r<128?1:r<2048?2:r<65536?3:4;for(t=h.uint8array?new Uint8Array(o):new Array(o),i=s=0;s<o;i++)55296==(64512&(r=e.charCodeAt(i)))&&i+1<a&&56320==(64512&(n=e.charCodeAt(i+1)))&&(r=65536+(r-55296<<10)+(n-56320),i++),r<128?t[s++]=r:(r<2048?t[s++]=192|r>>>6:(r<65536?t[s++]=224|r>>>12:(t[s++]=240|r>>>18,t[s++]=128|r>>>12&63),t[s++]=128|r>>>6&63),t[s++]=128|63&r);return t}(e)},s.utf8decode=function(e){return h.nodebuffer?o.transformTo(\"nodebuffer\",e).toString(\"utf-8\"):function(e){var t,r,n,i,s=e.length,a=new Array(2*s);for(t=r=0;t<s;)if((n=e[t++])<128)a[r++]=n;else if(4<(i=u[n]))a[r++]=65533,t+=i-1;else {for(n&=2===i?31:3===i?15:7;1<i&&t<s;)n=n<<6|63&e[t++],i--;1<i?a[r++]=65533:n<65536?a[r++]=n:(n-=65536,a[r++]=55296|n>>10&1023,a[r++]=56320|1023&n);}return a.length!==r&&(a.subarray?a=a.subarray(0,r):a.length=r),o.applyFromCharCode(a)}(e=o.transformTo(h.uint8array?\"uint8array\":\"array\",e))},o.inherits(a,n),a.prototype.processChunk=function(e){var t=o.transformTo(h.uint8array?\"uint8array\":\"array\",e.data);if(this.leftOver&&this.leftOver.length){if(h.uint8array){var r=t;(t=new Uint8Array(r.length+this.leftOver.length)).set(this.leftOver,0),t.set(r,this.leftOver.length);}else t=this.leftOver.concat(t);this.leftOver=null;}var n=function(e,t){var r;for((t=t||e.length)>e.length&&(t=e.length),r=t-1;0<=r&&128==(192&e[r]);)r--;return r<0?t:0===r?t:r+u[e[r]]>t?r:t}(t),i=t;n!==t.length&&(h.uint8array?(i=t.subarray(0,n),this.leftOver=t.subarray(n,t.length)):(i=t.slice(0,n),this.leftOver=t.slice(n,t.length))),this.push({data:s.utf8decode(i),meta:e.meta});},a.prototype.flush=function(){this.leftOver&&this.leftOver.length&&(this.push({data:s.utf8decode(this.leftOver),meta:{}}),this.leftOver=null);},s.Utf8DecodeWorker=a,o.inherits(l,n),l.prototype.processChunk=function(e){this.push({data:s.utf8encode(e.data),meta:e.meta});},s.Utf8EncodeWorker=l;},{\"./nodejsUtils\":14,\"./stream/GenericWorker\":28,\"./support\":30,\"./utils\":32}],32:[function(e,t,a){var o=e(\"./support\"),h=e(\"./base64\"),r=e(\"./nodejsUtils\"),u=e(\"./external\");function n(e){return e}function l(e,t){for(var r=0;r<e.length;++r)t[r]=255&e.charCodeAt(r);return t}e(\"setimmediate\"),a.newBlob=function(t,r){a.checkSupport(\"blob\");try{return new Blob([t],{type:r})}catch(e){try{var n=new(self.BlobBuilder||self.WebKitBlobBuilder||self.MozBlobBuilder||self.MSBlobBuilder);return n.append(t),n.getBlob(r)}catch(e){throw new Error(\"Bug : can't construct the Blob.\")}}};var i={stringifyByChunk:function(e,t,r){var n=[],i=0,s=e.length;if(s<=r)return String.fromCharCode.apply(null,e);for(;i<s;)\"array\"===t||\"nodebuffer\"===t?n.push(String.fromCharCode.apply(null,e.slice(i,Math.min(i+r,s)))):n.push(String.fromCharCode.apply(null,e.subarray(i,Math.min(i+r,s)))),i+=r;return n.join(\"\")},stringifyByChar:function(e){for(var t=\"\",r=0;r<e.length;r++)t+=String.fromCharCode(e[r]);return t},applyCanBeUsed:{uint8array:function(){try{return o.uint8array&&1===String.fromCharCode.apply(null,new Uint8Array(1)).length}catch(e){return  false}}(),nodebuffer:function(){try{return o.nodebuffer&&1===String.fromCharCode.apply(null,r.allocBuffer(1)).length}catch(e){return  false}}()}};function s(e){var t=65536,r=a.getTypeOf(e),n=true;if(\"uint8array\"===r?n=i.applyCanBeUsed.uint8array:\"nodebuffer\"===r&&(n=i.applyCanBeUsed.nodebuffer),n)for(;1<t;)try{return i.stringifyByChunk(e,r,t)}catch(e){t=Math.floor(t/2);}return i.stringifyByChar(e)}function f(e,t){for(var r=0;r<e.length;r++)t[r]=e[r];return t}a.applyFromCharCode=s;var c={};c.string={string:n,array:function(e){return l(e,new Array(e.length))},arraybuffer:function(e){return c.string.uint8array(e).buffer},uint8array:function(e){return l(e,new Uint8Array(e.length))},nodebuffer:function(e){return l(e,r.allocBuffer(e.length))}},c.array={string:s,array:n,arraybuffer:function(e){return new Uint8Array(e).buffer},uint8array:function(e){return new Uint8Array(e)},nodebuffer:function(e){return r.newBufferFrom(e)}},c.arraybuffer={string:function(e){return s(new Uint8Array(e))},array:function(e){return f(new Uint8Array(e),new Array(e.byteLength))},arraybuffer:n,uint8array:function(e){return new Uint8Array(e)},nodebuffer:function(e){return r.newBufferFrom(new Uint8Array(e))}},c.uint8array={string:s,array:function(e){return f(e,new Array(e.length))},arraybuffer:function(e){return e.buffer},uint8array:n,nodebuffer:function(e){return r.newBufferFrom(e)}},c.nodebuffer={string:s,array:function(e){return f(e,new Array(e.length))},arraybuffer:function(e){return c.nodebuffer.uint8array(e).buffer},uint8array:function(e){return f(e,new Uint8Array(e.length))},nodebuffer:n},a.transformTo=function(e,t){if(t=t||\"\",!e)return t;a.checkSupport(e);var r=a.getTypeOf(t);return c[r][e](t)},a.resolve=function(e){for(var t=e.split(\"/\"),r=[],n=0;n<t.length;n++){var i=t[n];\".\"===i||\"\"===i&&0!==n&&n!==t.length-1||(\"..\"===i?r.pop():r.push(i));}return r.join(\"/\")},a.getTypeOf=function(e){return \"string\"==typeof e?\"string\":\"[object Array]\"===Object.prototype.toString.call(e)?\"array\":o.nodebuffer&&r.isBuffer(e)?\"nodebuffer\":o.uint8array&&e instanceof Uint8Array?\"uint8array\":o.arraybuffer&&e instanceof ArrayBuffer?\"arraybuffer\":void 0},a.checkSupport=function(e){if(!o[e.toLowerCase()])throw new Error(e+\" is not supported by this platform\")},a.MAX_VALUE_16BITS=65535,a.MAX_VALUE_32BITS=-1,a.pretty=function(e){var t,r,n=\"\";for(r=0;r<(e||\"\").length;r++)n+=\"\\\\x\"+((t=e.charCodeAt(r))<16?\"0\":\"\")+t.toString(16).toUpperCase();return n},a.delay=function(e,t,r){setImmediate(function(){e.apply(r||null,t||[]);});},a.inherits=function(e,t){function r(){}r.prototype=t.prototype,e.prototype=new r;},a.extend=function(){var e,t,r={};for(e=0;e<arguments.length;e++)for(t in arguments[e])Object.prototype.hasOwnProperty.call(arguments[e],t)&&void 0===r[t]&&(r[t]=arguments[e][t]);return r},a.prepareContent=function(r,e,n,i,s){return u.Promise.resolve(e).then(function(n){return o.blob&&(n instanceof Blob||-1!==[\"[object File]\",\"[object Blob]\"].indexOf(Object.prototype.toString.call(n)))&&\"undefined\"!=typeof FileReader?new u.Promise(function(t,r){var e=new FileReader;e.onload=function(e){t(e.target.result);},e.onerror=function(e){r(e.target.error);},e.readAsArrayBuffer(n);}):n}).then(function(e){var t=a.getTypeOf(e);return t?(\"arraybuffer\"===t?e=a.transformTo(\"uint8array\",e):\"string\"===t&&(s?e=h.decode(e):n&&true!==i&&(e=function(e){return l(e,o.uint8array?new Uint8Array(e.length):new Array(e.length))}(e))),e):u.Promise.reject(new Error(\"Can't read the data of '\"+r+\"'. Is it in a supported JavaScript type (String, Blob, ArrayBuffer, etc) ?\"))})};},{\"./base64\":1,\"./external\":6,\"./nodejsUtils\":14,\"./support\":30,setimmediate:54}],33:[function(e,t,r){var n=e(\"./reader/readerFor\"),i=e(\"./utils\"),s=e(\"./signature\"),a=e(\"./zipEntry\"),o=e(\"./support\");function h(e){this.files=[],this.loadOptions=e;}h.prototype={checkSignature:function(e){if(!this.reader.readAndCheckSignature(e)){this.reader.index-=4;var t=this.reader.readString(4);throw new Error(\"Corrupted zip or bug: unexpected signature (\"+i.pretty(t)+\", expected \"+i.pretty(e)+\")\")}},isSignature:function(e,t){var r=this.reader.index;this.reader.setIndex(e);var n=this.reader.readString(4)===t;return this.reader.setIndex(r),n},readBlockEndOfCentral:function(){this.diskNumber=this.reader.readInt(2),this.diskWithCentralDirStart=this.reader.readInt(2),this.centralDirRecordsOnThisDisk=this.reader.readInt(2),this.centralDirRecords=this.reader.readInt(2),this.centralDirSize=this.reader.readInt(4),this.centralDirOffset=this.reader.readInt(4),this.zipCommentLength=this.reader.readInt(2);var e=this.reader.readData(this.zipCommentLength),t=o.uint8array?\"uint8array\":\"array\",r=i.transformTo(t,e);this.zipComment=this.loadOptions.decodeFileName(r);},readBlockZip64EndOfCentral:function(){this.zip64EndOfCentralSize=this.reader.readInt(8),this.reader.skip(4),this.diskNumber=this.reader.readInt(4),this.diskWithCentralDirStart=this.reader.readInt(4),this.centralDirRecordsOnThisDisk=this.reader.readInt(8),this.centralDirRecords=this.reader.readInt(8),this.centralDirSize=this.reader.readInt(8),this.centralDirOffset=this.reader.readInt(8),this.zip64ExtensibleData={};for(var e,t,r,n=this.zip64EndOfCentralSize-44;0<n;)e=this.reader.readInt(2),t=this.reader.readInt(4),r=this.reader.readData(t),this.zip64ExtensibleData[e]={id:e,length:t,value:r};},readBlockZip64EndOfCentralLocator:function(){if(this.diskWithZip64CentralDirStart=this.reader.readInt(4),this.relativeOffsetEndOfZip64CentralDir=this.reader.readInt(8),this.disksCount=this.reader.readInt(4),1<this.disksCount)throw new Error(\"Multi-volumes zip are not supported\")},readLocalFiles:function(){var e,t;for(e=0;e<this.files.length;e++)t=this.files[e],this.reader.setIndex(t.localHeaderOffset),this.checkSignature(s.LOCAL_FILE_HEADER),t.readLocalPart(this.reader),t.handleUTF8(),t.processAttributes();},readCentralDir:function(){var e;for(this.reader.setIndex(this.centralDirOffset);this.reader.readAndCheckSignature(s.CENTRAL_FILE_HEADER);)(e=new a({zip64:this.zip64},this.loadOptions)).readCentralPart(this.reader),this.files.push(e);if(this.centralDirRecords!==this.files.length&&0!==this.centralDirRecords&&0===this.files.length)throw new Error(\"Corrupted zip or bug: expected \"+this.centralDirRecords+\" records in central dir, got \"+this.files.length)},readEndOfCentral:function(){var e=this.reader.lastIndexOfSignature(s.CENTRAL_DIRECTORY_END);if(e<0)throw !this.isSignature(0,s.LOCAL_FILE_HEADER)?new Error(\"Can't find end of central directory : is this a zip file ? If it is, see https://stuk.github.io/jszip/documentation/howto/read_zip.html\"):new Error(\"Corrupted zip: can't find end of central directory\");this.reader.setIndex(e);var t=e;if(this.checkSignature(s.CENTRAL_DIRECTORY_END),this.readBlockEndOfCentral(),this.diskNumber===i.MAX_VALUE_16BITS||this.diskWithCentralDirStart===i.MAX_VALUE_16BITS||this.centralDirRecordsOnThisDisk===i.MAX_VALUE_16BITS||this.centralDirRecords===i.MAX_VALUE_16BITS||this.centralDirSize===i.MAX_VALUE_32BITS||this.centralDirOffset===i.MAX_VALUE_32BITS){if(this.zip64=true,(e=this.reader.lastIndexOfSignature(s.ZIP64_CENTRAL_DIRECTORY_LOCATOR))<0)throw new Error(\"Corrupted zip: can't find the ZIP64 end of central directory locator\");if(this.reader.setIndex(e),this.checkSignature(s.ZIP64_CENTRAL_DIRECTORY_LOCATOR),this.readBlockZip64EndOfCentralLocator(),!this.isSignature(this.relativeOffsetEndOfZip64CentralDir,s.ZIP64_CENTRAL_DIRECTORY_END)&&(this.relativeOffsetEndOfZip64CentralDir=this.reader.lastIndexOfSignature(s.ZIP64_CENTRAL_DIRECTORY_END),this.relativeOffsetEndOfZip64CentralDir<0))throw new Error(\"Corrupted zip: can't find the ZIP64 end of central directory\");this.reader.setIndex(this.relativeOffsetEndOfZip64CentralDir),this.checkSignature(s.ZIP64_CENTRAL_DIRECTORY_END),this.readBlockZip64EndOfCentral();}var r=this.centralDirOffset+this.centralDirSize;this.zip64&&(r+=20,r+=12+this.zip64EndOfCentralSize);var n=t-r;if(0<n)this.isSignature(t,s.CENTRAL_FILE_HEADER)||(this.reader.zero=n);else if(n<0)throw new Error(\"Corrupted zip: missing \"+Math.abs(n)+\" bytes.\")},prepareReader:function(e){this.reader=n(e);},load:function(e){this.prepareReader(e),this.readEndOfCentral(),this.readCentralDir(),this.readLocalFiles();}},t.exports=h;},{\"./reader/readerFor\":22,\"./signature\":23,\"./support\":30,\"./utils\":32,\"./zipEntry\":34}],34:[function(e,t,r){var n=e(\"./reader/readerFor\"),s=e(\"./utils\"),i=e(\"./compressedObject\"),a=e(\"./crc32\"),o=e(\"./utf8\"),h=e(\"./compressions\"),u=e(\"./support\");function l(e,t){this.options=e,this.loadOptions=t;}l.prototype={isEncrypted:function(){return 1==(1&this.bitFlag)},useUTF8:function(){return 2048==(2048&this.bitFlag)},readLocalPart:function(e){var t,r;if(e.skip(22),this.fileNameLength=e.readInt(2),r=e.readInt(2),this.fileName=e.readData(this.fileNameLength),e.skip(r),-1===this.compressedSize||-1===this.uncompressedSize)throw new Error(\"Bug or corrupted zip : didn't get enough information from the central directory (compressedSize === -1 || uncompressedSize === -1)\");if(null===(t=function(e){for(var t in h)if(Object.prototype.hasOwnProperty.call(h,t)&&h[t].magic===e)return h[t];return null}(this.compressionMethod)))throw new Error(\"Corrupted zip : compression \"+s.pretty(this.compressionMethod)+\" unknown (inner file : \"+s.transformTo(\"string\",this.fileName)+\")\");this.decompressed=new i(this.compressedSize,this.uncompressedSize,this.crc32,t,e.readData(this.compressedSize));},readCentralPart:function(e){this.versionMadeBy=e.readInt(2),e.skip(2),this.bitFlag=e.readInt(2),this.compressionMethod=e.readString(2),this.date=e.readDate(),this.crc32=e.readInt(4),this.compressedSize=e.readInt(4),this.uncompressedSize=e.readInt(4);var t=e.readInt(2);if(this.extraFieldsLength=e.readInt(2),this.fileCommentLength=e.readInt(2),this.diskNumberStart=e.readInt(2),this.internalFileAttributes=e.readInt(2),this.externalFileAttributes=e.readInt(4),this.localHeaderOffset=e.readInt(4),this.isEncrypted())throw new Error(\"Encrypted zip are not supported\");e.skip(t),this.readExtraFields(e),this.parseZIP64ExtraField(e),this.fileComment=e.readData(this.fileCommentLength);},processAttributes:function(){this.unixPermissions=null,this.dosPermissions=null;var e=this.versionMadeBy>>8;this.dir=!!(16&this.externalFileAttributes),0==e&&(this.dosPermissions=63&this.externalFileAttributes),3==e&&(this.unixPermissions=this.externalFileAttributes>>16&65535),this.dir||\"/\"!==this.fileNameStr.slice(-1)||(this.dir=true);},parseZIP64ExtraField:function(){if(this.extraFields[1]){var e=n(this.extraFields[1].value);this.uncompressedSize===s.MAX_VALUE_32BITS&&(this.uncompressedSize=e.readInt(8)),this.compressedSize===s.MAX_VALUE_32BITS&&(this.compressedSize=e.readInt(8)),this.localHeaderOffset===s.MAX_VALUE_32BITS&&(this.localHeaderOffset=e.readInt(8)),this.diskNumberStart===s.MAX_VALUE_32BITS&&(this.diskNumberStart=e.readInt(4));}},readExtraFields:function(e){var t,r,n,i=e.index+this.extraFieldsLength;for(this.extraFields||(this.extraFields={});e.index+4<i;)t=e.readInt(2),r=e.readInt(2),n=e.readData(r),this.extraFields[t]={id:t,length:r,value:n};e.setIndex(i);},handleUTF8:function(){var e=u.uint8array?\"uint8array\":\"array\";if(this.useUTF8())this.fileNameStr=o.utf8decode(this.fileName),this.fileCommentStr=o.utf8decode(this.fileComment);else {var t=this.findExtraFieldUnicodePath();if(null!==t)this.fileNameStr=t;else {var r=s.transformTo(e,this.fileName);this.fileNameStr=this.loadOptions.decodeFileName(r);}var n=this.findExtraFieldUnicodeComment();if(null!==n)this.fileCommentStr=n;else {var i=s.transformTo(e,this.fileComment);this.fileCommentStr=this.loadOptions.decodeFileName(i);}}},findExtraFieldUnicodePath:function(){var e=this.extraFields[28789];if(e){var t=n(e.value);return 1!==t.readInt(1)?null:a(this.fileName)!==t.readInt(4)?null:o.utf8decode(t.readData(e.length-5))}return null},findExtraFieldUnicodeComment:function(){var e=this.extraFields[25461];if(e){var t=n(e.value);return 1!==t.readInt(1)?null:a(this.fileComment)!==t.readInt(4)?null:o.utf8decode(t.readData(e.length-5))}return null}},t.exports=l;},{\"./compressedObject\":2,\"./compressions\":3,\"./crc32\":4,\"./reader/readerFor\":22,\"./support\":30,\"./utf8\":31,\"./utils\":32}],35:[function(e,t,r){function n(e,t,r){this.name=e,this.dir=r.dir,this.date=r.date,this.comment=r.comment,this.unixPermissions=r.unixPermissions,this.dosPermissions=r.dosPermissions,this._data=t,this._dataBinary=r.binary,this.options={compression:r.compression,compressionOptions:r.compressionOptions};}var s=e(\"./stream/StreamHelper\"),i=e(\"./stream/DataWorker\"),a=e(\"./utf8\"),o=e(\"./compressedObject\"),h=e(\"./stream/GenericWorker\");n.prototype={internalStream:function(e){var t=null,r=\"string\";try{if(!e)throw new Error(\"No output type specified.\");var n=\"string\"===(r=e.toLowerCase())||\"text\"===r;\"binarystring\"!==r&&\"text\"!==r||(r=\"string\"),t=this._decompressWorker();var i=!this._dataBinary;i&&!n&&(t=t.pipe(new a.Utf8EncodeWorker)),!i&&n&&(t=t.pipe(new a.Utf8DecodeWorker));}catch(e){(t=new h(\"error\")).error(e);}return new s(t,r,\"\")},async:function(e,t){return this.internalStream(e).accumulate(t)},nodeStream:function(e,t){return this.internalStream(e||\"nodebuffer\").toNodejsStream(t)},_compressWorker:function(e,t){if(this._data instanceof o&&this._data.compression.magic===e.magic)return this._data.getCompressedWorker();var r=this._decompressWorker();return this._dataBinary||(r=r.pipe(new a.Utf8EncodeWorker)),o.createWorkerFrom(r,e,t)},_decompressWorker:function(){return this._data instanceof o?this._data.getContentWorker():this._data instanceof h?this._data:new i(this._data)}};for(var u=[\"asText\",\"asBinary\",\"asNodeBuffer\",\"asUint8Array\",\"asArrayBuffer\"],l=function(){throw new Error(\"This method has been 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r,n,i=e.max_chain_length,s=e.strstart,a=e.prev_length,o=e.nice_match,h=e.strstart>e.w_size-z?e.strstart-(e.w_size-z):0,u=e.window,l=e.w_mask,f=e.prev,c=e.strstart+S,d=u[s+a-1],p=u[s+a];e.prev_length>=e.good_match&&(i>>=2),o>e.lookahead&&(o=e.lookahead);do{if(u[(r=t)+a]===p&&u[r+a-1]===d&&u[r]===u[s]&&u[++r]===u[s+1]){s+=2,r++;do{}while(u[++s]===u[++r]&&u[++s]===u[++r]&&u[++s]===u[++r]&&u[++s]===u[++r]&&u[++s]===u[++r]&&u[++s]===u[++r]&&u[++s]===u[++r]&&u[++s]===u[++r]&&s<c);if(n=S-(c-s),s=c-S,a<n){if(e.match_start=t,o<=(a=n))break;d=u[s+a-1],p=u[s+a];}}}while((t=f[t&l])>h&&0!=--i);return a<=e.lookahead?a:e.lookahead}function j(e){var t,r,n,i,s,a,o,h,u,l,f=e.w_size;do{if(i=e.window_size-e.lookahead-e.strstart,e.strstart>=f+(f-z)){for(c.arraySet(e.window,e.window,f,f,0),e.match_start-=f,e.strstart-=f,e.block_start-=f,t=r=e.hash_size;n=e.head[--t],e.head[t]=f<=n?n-f:0,--r;);for(t=r=f;n=e.prev[--t],e.prev[t]=f<=n?n-f:0,--r;);i+=f;}if(0===e.strm.avail_in)break;if(a=e.strm,o=e.window,h=e.strstart+e.lookahead,u=i,l=void 0,l=a.avail_in,u<l&&(l=u),r=0===l?0:(a.avail_in-=l,c.arraySet(o,a.input,a.next_in,l,h),1===a.state.wrap?a.adler=d(a.adler,o,l,h):2===a.state.wrap&&(a.adler=p(a.adler,o,l,h)),a.next_in+=l,a.total_in+=l,l),e.lookahead+=r,e.lookahead+e.insert>=x)for(s=e.strstart-e.insert,e.ins_h=e.window[s],e.ins_h=(e.ins_h<<e.hash_shift^e.window[s+1])&e.hash_mask;e.insert&&(e.ins_h=(e.ins_h<<e.hash_shift^e.window[s+x-1])&e.hash_mask,e.prev[s&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=s,s++,e.insert--,!(e.lookahead+e.insert<x)););}while(e.lookahead<z&&0!==e.strm.avail_in)}function Z(e,t){for(var r,n;;){if(e.lookahead<z){if(j(e),e.lookahead<z&&t===l)return A;if(0===e.lookahead)break}if(r=0,e.lookahead>=x&&(e.ins_h=(e.ins_h<<e.hash_shift^e.window[e.strstart+x-1])&e.hash_mask,r=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),0!==r&&e.strstart-r<=e.w_size-z&&(e.match_length=L(e,r)),e.match_length>=x)if(n=u._tr_tally(e,e.strstart-e.match_start,e.match_length-x),e.lookahead-=e.match_length,e.match_length<=e.max_lazy_match&&e.lookahead>=x){for(e.match_length--;e.strstart++,e.ins_h=(e.ins_h<<e.hash_shift^e.window[e.strstart+x-1])&e.hash_mask,r=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart,0!=--e.match_length;);e.strstart++;}else e.strstart+=e.match_length,e.match_length=0,e.ins_h=e.window[e.strstart],e.ins_h=(e.ins_h<<e.hash_shift^e.window[e.strstart+1])&e.hash_mask;else n=u._tr_tally(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++;if(n&&(N(e,false),0===e.strm.avail_out))return A}return e.insert=e.strstart<x-1?e.strstart:x-1,t===f?(N(e,true),0===e.strm.avail_out?O:B):e.last_lit&&(N(e,false),0===e.strm.avail_out)?A:I}function W(e,t){for(var r,n,i;;){if(e.lookahead<z){if(j(e),e.lookahead<z&&t===l)return A;if(0===e.lookahead)break}if(r=0,e.lookahead>=x&&(e.ins_h=(e.ins_h<<e.hash_shift^e.window[e.strstart+x-1])&e.hash_mask,r=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),e.prev_length=e.match_length,e.prev_match=e.match_start,e.match_length=x-1,0!==r&&e.prev_length<e.max_lazy_match&&e.strstart-r<=e.w_size-z&&(e.match_length=L(e,r),e.match_length<=5&&(1===e.strategy||e.match_length===x&&4096<e.strstart-e.match_start)&&(e.match_length=x-1)),e.prev_length>=x&&e.match_length<=e.prev_length){for(i=e.strstart+e.lookahead-x,n=u._tr_tally(e,e.strstart-1-e.prev_match,e.prev_length-x),e.lookahead-=e.prev_length-1,e.prev_length-=2;++e.strstart<=i&&(e.ins_h=(e.ins_h<<e.hash_shift^e.window[e.strstart+x-1])&e.hash_mask,r=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),0!=--e.prev_length;);if(e.match_available=0,e.match_length=x-1,e.strstart++,n&&(N(e,false),0===e.strm.avail_out))return A}else if(e.match_available){if((n=u._tr_tally(e,0,e.window[e.strstart-1]))&&N(e,false),e.strstart++,e.lookahead--,0===e.strm.avail_out)return A}else e.match_available=1,e.strstart++,e.lookahead--;}return e.match_available&&(n=u._tr_tally(e,0,e.window[e.strstart-1]),e.match_available=0),e.insert=e.strstart<x-1?e.strstart:x-1,t===f?(N(e,true),0===e.strm.avail_out?O:B):e.last_lit&&(N(e,false),0===e.strm.avail_out)?A:I}function M(e,t,r,n,i){this.good_length=e,this.max_lazy=t,this.nice_length=r,this.max_chain=n,this.func=i;}function H(){this.strm=null,this.status=0,this.pending_buf=null,this.pending_buf_size=0,this.pending_out=0,this.pending=0,this.wrap=0,this.gzhead=null,this.gzindex=0,this.method=v,this.last_flush=-1,this.w_size=0,this.w_bits=0,this.w_mask=0,this.window=null,this.window_size=0,this.prev=null,this.head=null,this.ins_h=0,this.hash_size=0,this.hash_bits=0,this.hash_mask=0,this.hash_shift=0,this.block_start=0,this.match_length=0,this.prev_match=0,this.match_available=0,this.strstart=0,this.match_start=0,this.lookahead=0,this.prev_length=0,this.max_chain_length=0,this.max_lazy_match=0,this.level=0,this.strategy=0,this.good_match=0,this.nice_match=0,this.dyn_ltree=new c.Buf16(2*w),this.dyn_dtree=new c.Buf16(2*(2*a+1)),this.bl_tree=new c.Buf16(2*(2*o+1)),D(this.dyn_ltree),D(this.dyn_dtree),D(this.bl_tree),this.l_desc=null,this.d_desc=null,this.bl_desc=null,this.bl_count=new c.Buf16(k+1),this.heap=new c.Buf16(2*s+1),D(this.heap),this.heap_len=0,this.heap_max=0,this.depth=new c.Buf16(2*s+1),D(this.depth),this.l_buf=0,this.lit_bufsize=0,this.last_lit=0,this.d_buf=0,this.opt_len=0,this.static_len=0,this.matches=0,this.insert=0,this.bi_buf=0,this.bi_valid=0;}function G(e){var t;return e&&e.state?(e.total_in=e.total_out=0,e.data_type=i,(t=e.state).pending=0,t.pending_out=0,t.wrap<0&&(t.wrap=-t.wrap),t.status=t.wrap?C:E,e.adler=2===t.wrap?0:1,t.last_flush=l,u._tr_init(t),m):R(e,_)}function K(e){var t=G(e);return t===m&&function(e){e.window_size=2*e.w_size,D(e.head),e.max_lazy_match=h[e.level].max_lazy,e.good_match=h[e.level].good_length,e.nice_match=h[e.level].nice_length,e.max_chain_length=h[e.level].max_chain,e.strstart=0,e.block_start=0,e.lookahead=0,e.insert=0,e.match_length=e.prev_length=x-1,e.match_available=0,e.ins_h=0;}(e.state),t}function Y(e,t,r,n,i,s){if(!e)return _;var a=1;if(t===g&&(t=6),n<0?(a=0,n=-n):15<n&&(a=2,n-=16),i<1||y<i||r!==v||n<8||15<n||t<0||9<t||s<0||b<s)return R(e,_);8===n&&(n=9);var o=new H;return (e.state=o).strm=e,o.wrap=a,o.gzhead=null,o.w_bits=n,o.w_size=1<<o.w_bits,o.w_mask=o.w_size-1,o.hash_bits=i+7,o.hash_size=1<<o.hash_bits,o.hash_mask=o.hash_size-1,o.hash_shift=~~((o.hash_bits+x-1)/x),o.window=new c.Buf8(2*o.w_size),o.head=new c.Buf16(o.hash_size),o.prev=new c.Buf16(o.w_size),o.lit_bufsize=1<<i+6,o.pending_buf_size=4*o.lit_bufsize,o.pending_buf=new c.Buf8(o.pending_buf_size),o.d_buf=1*o.lit_bufsize,o.l_buf=3*o.lit_bufsize,o.level=t,o.strategy=s,o.method=r,K(e)}h=[new M(0,0,0,0,function(e,t){var r=65535;for(r>e.pending_buf_size-5&&(r=e.pending_buf_size-5);;){if(e.lookahead<=1){if(j(e),0===e.lookahead&&t===l)return A;if(0===e.lookahead)break}e.strstart+=e.lookahead,e.lookahead=0;var n=e.block_start+r;if((0===e.strstart||e.strstart>=n)&&(e.lookahead=e.strstart-n,e.strstart=n,N(e,false),0===e.strm.avail_out))return A;if(e.strstart-e.block_start>=e.w_size-z&&(N(e,false),0===e.strm.avail_out))return A}return e.insert=0,t===f?(N(e,true),0===e.strm.avail_out?O:B):(e.strstart>e.block_start&&(N(e,false),e.strm.avail_out),A)}),new M(4,4,8,4,Z),new M(4,5,16,8,Z),new M(4,6,32,32,Z),new M(4,4,16,16,W),new M(8,16,32,32,W),new M(8,16,128,128,W),new M(8,32,128,256,W),new M(32,128,258,1024,W),new M(32,258,258,4096,W)],r.deflateInit=function(e,t){return Y(e,t,v,15,8,0)},r.deflateInit2=Y,r.deflateReset=K,r.deflateResetKeep=G,r.deflateSetHeader=function(e,t){return e&&e.state?2!==e.state.wrap?_:(e.state.gzhead=t,m):_},r.deflate=function(e,t){var r,n,i,s;if(!e||!e.state||5<t||t<0)return e?R(e,_):_;if(n=e.state,!e.output||!e.input&&0!==e.avail_in||666===n.status&&t!==f)return R(e,0===e.avail_out?-5:_);if(n.strm=e,r=n.last_flush,n.last_flush=t,n.status===C)if(2===n.wrap)e.adler=0,U(n,31),U(n,139),U(n,8),n.gzhead?(U(n,(n.gzhead.text?1:0)+(n.gzhead.hcrc?2:0)+(n.gzhead.extra?4:0)+(n.gzhead.name?8:0)+(n.gzhead.comment?16:0)),U(n,255&n.gzhead.time),U(n,n.gzhead.time>>8&255),U(n,n.gzhead.time>>16&255),U(n,n.gzhead.time>>24&255),U(n,9===n.level?2:2<=n.strategy||n.level<2?4:0),U(n,255&n.gzhead.os),n.gzhead.extra&&n.gzhead.extra.length&&(U(n,255&n.gzhead.extra.length),U(n,n.gzhead.extra.length>>8&255)),n.gzhead.hcrc&&(e.adler=p(e.adler,n.pending_buf,n.pending,0)),n.gzindex=0,n.status=69):(U(n,0),U(n,0),U(n,0),U(n,0),U(n,0),U(n,9===n.level?2:2<=n.strategy||n.level<2?4:0),U(n,3),n.status=E);else {var a=v+(n.w_bits-8<<4)<<8;a|=(2<=n.strategy||n.level<2?0:n.level<6?1:6===n.level?2:3)<<6,0!==n.strstart&&(a|=32),a+=31-a%31,n.status=E,P(n,a),0!==n.strstart&&(P(n,e.adler>>>16),P(n,65535&e.adler)),e.adler=1;}if(69===n.status)if(n.gzhead.extra){for(i=n.pending;n.gzindex<(65535&n.gzhead.extra.length)&&(n.pending!==n.pending_buf_size||(n.gzhead.hcrc&&n.pending>i&&(e.adler=p(e.adler,n.pending_buf,n.pending-i,i)),F(e),i=n.pending,n.pending!==n.pending_buf_size));)U(n,255&n.gzhead.extra[n.gzindex]),n.gzindex++;n.gzhead.hcrc&&n.pending>i&&(e.adler=p(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex===n.gzhead.extra.length&&(n.gzindex=0,n.status=73);}else n.status=73;if(73===n.status)if(n.gzhead.name){i=n.pending;do{if(n.pending===n.pending_buf_size&&(n.gzhead.hcrc&&n.pending>i&&(e.adler=p(e.adler,n.pending_buf,n.pending-i,i)),F(e),i=n.pending,n.pending===n.pending_buf_size)){s=1;break}s=n.gzindex<n.gzhead.name.length?255&n.gzhead.name.charCodeAt(n.gzindex++):0,U(n,s);}while(0!==s);n.gzhead.hcrc&&n.pending>i&&(e.adler=p(e.adler,n.pending_buf,n.pending-i,i)),0===s&&(n.gzindex=0,n.status=91);}else n.status=91;if(91===n.status)if(n.gzhead.comment){i=n.pending;do{if(n.pending===n.pending_buf_size&&(n.gzhead.hcrc&&n.pending>i&&(e.adler=p(e.adler,n.pending_buf,n.pending-i,i)),F(e),i=n.pending,n.pending===n.pending_buf_size)){s=1;break}s=n.gzindex<n.gzhead.comment.length?255&n.gzhead.comment.charCodeAt(n.gzindex++):0,U(n,s);}while(0!==s);n.gzhead.hcrc&&n.pending>i&&(e.adler=p(e.adler,n.pending_buf,n.pending-i,i)),0===s&&(n.status=103);}else n.status=103;if(103===n.status&&(n.gzhead.hcrc?(n.pending+2>n.pending_buf_size&&F(e),n.pending+2<=n.pending_buf_size&&(U(n,255&e.adler),U(n,e.adler>>8&255),e.adler=0,n.status=E)):n.status=E),0!==n.pending){if(F(e),0===e.avail_out)return n.last_flush=-1,m}else if(0===e.avail_in&&T(t)<=T(r)&&t!==f)return R(e,-5);if(666===n.status&&0!==e.avail_in)return R(e,-5);if(0!==e.avail_in||0!==n.lookahead||t!==l&&666!==n.status){var o=2===n.strategy?function(e,t){for(var r;;){if(0===e.lookahead&&(j(e),0===e.lookahead)){if(t===l)return A;break}if(e.match_length=0,r=u._tr_tally(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++,r&&(N(e,false),0===e.strm.avail_out))return A}return e.insert=0,t===f?(N(e,true),0===e.strm.avail_out?O:B):e.last_lit&&(N(e,false),0===e.strm.avail_out)?A:I}(n,t):3===n.strategy?function(e,t){for(var r,n,i,s,a=e.window;;){if(e.lookahead<=S){if(j(e),e.lookahead<=S&&t===l)return A;if(0===e.lookahead)break}if(e.match_length=0,e.lookahead>=x&&0<e.strstart&&(n=a[i=e.strstart-1])===a[++i]&&n===a[++i]&&n===a[++i]){s=e.strstart+S;do{}while(n===a[++i]&&n===a[++i]&&n===a[++i]&&n===a[++i]&&n===a[++i]&&n===a[++i]&&n===a[++i]&&n===a[++i]&&i<s);e.match_length=S-(s-i),e.match_length>e.lookahead&&(e.match_length=e.lookahead);}if(e.match_length>=x?(r=u._tr_tally(e,1,e.match_length-x),e.lookahead-=e.match_length,e.strstart+=e.match_length,e.match_length=0):(r=u._tr_tally(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++),r&&(N(e,false),0===e.strm.avail_out))return A}return e.insert=0,t===f?(N(e,true),0===e.strm.avail_out?O:B):e.last_lit&&(N(e,false),0===e.strm.avail_out)?A:I}(n,t):h[n.level].func(n,t);if(o!==O&&o!==B||(n.status=666),o===A||o===O)return 0===e.avail_out&&(n.last_flush=-1),m;if(o===I&&(1===t?u._tr_align(n):5!==t&&(u._tr_stored_block(n,0,0,false),3===t&&(D(n.head),0===n.lookahead&&(n.strstart=0,n.block_start=0,n.insert=0))),F(e),0===e.avail_out))return n.last_flush=-1,m}return t!==f?m:n.wrap<=0?1:(2===n.wrap?(U(n,255&e.adler),U(n,e.adler>>8&255),U(n,e.adler>>16&255),U(n,e.adler>>24&255),U(n,255&e.total_in),U(n,e.total_in>>8&255),U(n,e.total_in>>16&255),U(n,e.total_in>>24&255)):(P(n,e.adler>>>16),P(n,65535&e.adler)),F(e),0<n.wrap&&(n.wrap=-n.wrap),0!==n.pending?m:1)},r.deflateEnd=function(e){var t;return e&&e.state?(t=e.state.status)!==C&&69!==t&&73!==t&&91!==t&&103!==t&&t!==E&&666!==t?R(e,_):(e.state=null,t===E?R(e,-3):m):_},r.deflateSetDictionary=function(e,t){var r,n,i,s,a,o,h,u,l=t.length;if(!e||!e.state)return _;if(2===(s=(r=e.state).wrap)||1===s&&r.status!==C||r.lookahead)return _;for(1===s&&(e.adler=d(e.adler,t,l,0)),r.wrap=0,l>=r.w_size&&(0===s&&(D(r.head),r.strstart=0,r.block_start=0,r.insert=0),u=new c.Buf8(r.w_size),c.arraySet(u,t,l-r.w_size,r.w_size,0),t=u,l=r.w_size),a=e.avail_in,o=e.next_in,h=e.input,e.avail_in=l,e.next_in=0,e.input=t,j(r);r.lookahead>=x;){for(n=r.strstart,i=r.lookahead-(x-1);r.ins_h=(r.ins_h<<r.hash_shift^r.window[n+x-1])&r.hash_mask,r.prev[n&r.w_mask]=r.head[r.ins_h],r.head[r.ins_h]=n,n++,--i;);r.strstart=n,r.lookahead=x-1,j(r);}return r.strstart+=r.lookahead,r.block_start=r.strstart,r.insert=r.lookahead,r.lookahead=0,r.match_length=r.prev_length=x-1,r.match_available=0,e.next_in=o,e.input=h,e.avail_in=a,r.wrap=s,m},r.deflateInfo=\"pako deflate (from Nodeca project)\";},{\"../utils/common\":41,\"./adler32\":43,\"./crc32\":45,\"./messages\":51,\"./trees\":52}],47:[function(e,t,r){t.exports=function(){this.text=0,this.time=0,this.xflags=0,this.os=0,this.extra=null,this.extra_len=0,this.name=\"\",this.comment=\"\",this.hcrc=0,this.done=false;};},{}],48:[function(e,t,r){t.exports=function(e,t){var r,n,i,s,a,o,h,u,l,f,c,d,p,m,_,g,b,v,y,w,k,x,S,z,C;r=e.state,n=e.next_in,z=e.input,i=n+(e.avail_in-5),s=e.next_out,C=e.output,a=s-(t-e.avail_out),o=s+(e.avail_out-257),h=r.dmax,u=r.wsize,l=r.whave,f=r.wnext,c=r.window,d=r.hold,p=r.bits,m=r.lencode,_=r.distcode,g=(1<<r.lenbits)-1,b=(1<<r.distbits)-1;e:do{p<15&&(d+=z[n++]<<p,p+=8,d+=z[n++]<<p,p+=8),v=m[d&g];t:for(;;){if(d>>>=y=v>>>24,p-=y,0===(y=v>>>16&255))C[s++]=65535&v;else {if(!(16&y)){if(0==(64&y)){v=m[(65535&v)+(d&(1<<y)-1)];continue t}if(32&y){r.mode=12;break e}e.msg=\"invalid literal/length code\",r.mode=30;break e}w=65535&v,(y&=15)&&(p<y&&(d+=z[n++]<<p,p+=8),w+=d&(1<<y)-1,d>>>=y,p-=y),p<15&&(d+=z[n++]<<p,p+=8,d+=z[n++]<<p,p+=8),v=_[d&b];r:for(;;){if(d>>>=y=v>>>24,p-=y,!(16&(y=v>>>16&255))){if(0==(64&y)){v=_[(65535&v)+(d&(1<<y)-1)];continue r}e.msg=\"invalid distance code\",r.mode=30;break e}if(k=65535&v,p<(y&=15)&&(d+=z[n++]<<p,(p+=8)<y&&(d+=z[n++]<<p,p+=8)),h<(k+=d&(1<<y)-1)){e.msg=\"invalid distance too far back\",r.mode=30;break e}if(d>>>=y,p-=y,(y=s-a)<k){if(l<(y=k-y)&&r.sane){e.msg=\"invalid distance too far back\",r.mode=30;break e}if(S=c,(x=0)===f){if(x+=u-y,y<w){for(w-=y;C[s++]=c[x++],--y;);x=s-k,S=C;}}else if(f<y){if(x+=u+f-y,(y-=f)<w){for(w-=y;C[s++]=c[x++],--y;);if(x=0,f<w){for(w-=y=f;C[s++]=c[x++],--y;);x=s-k,S=C;}}}else if(x+=f-y,y<w){for(w-=y;C[s++]=c[x++],--y;);x=s-k,S=C;}for(;2<w;)C[s++]=S[x++],C[s++]=S[x++],C[s++]=S[x++],w-=3;w&&(C[s++]=S[x++],1<w&&(C[s++]=S[x++]));}else {for(x=s-k;C[s++]=C[x++],C[s++]=C[x++],C[s++]=C[x++],2<(w-=3););w&&(C[s++]=C[x++],1<w&&(C[s++]=C[x++]));}break}}break}}while(n<i&&s<o);n-=w=p>>3,d&=(1<<(p-=w<<3))-1,e.next_in=n,e.next_out=s,e.avail_in=n<i?i-n+5:5-(n-i),e.avail_out=s<o?o-s+257:257-(s-o),r.hold=d,r.bits=p;};},{}],49:[function(e,t,r){var I=e(\"../utils/common\"),O=e(\"./adler32\"),B=e(\"./crc32\"),R=e(\"./inffast\"),T=e(\"./inftrees\"),D=1,F=2,N=0,U=-2,P=1,n=852,i=592;function L(e){return (e>>>24&255)+(e>>>8&65280)+((65280&e)<<8)+((255&e)<<24)}function s(){this.mode=0,this.last=false,this.wrap=0,this.havedict=false,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new I.Buf16(320),this.work=new I.Buf16(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0;}function a(e){var t;return e&&e.state?(t=e.state,e.total_in=e.total_out=t.total=0,e.msg=\"\",t.wrap&&(e.adler=1&t.wrap),t.mode=P,t.last=0,t.havedict=0,t.dmax=32768,t.head=null,t.hold=0,t.bits=0,t.lencode=t.lendyn=new I.Buf32(n),t.distcode=t.distdyn=new I.Buf32(i),t.sane=1,t.back=-1,N):U}function o(e){var t;return e&&e.state?((t=e.state).wsize=0,t.whave=0,t.wnext=0,a(e)):U}function h(e,t){var r,n;return e&&e.state?(n=e.state,t<0?(r=0,t=-t):(r=1+(t>>4),t<48&&(t&=15)),t&&(t<8||15<t)?U:(null!==n.window&&n.wbits!==t&&(n.window=null),n.wrap=r,n.wbits=t,o(e))):U}function u(e,t){var r,n;return e?(n=new s,(e.state=n).window=null,(r=h(e,t))!==N&&(e.state=null),r):U}var l,f,c=true;function j(e){if(c){var t;for(l=new I.Buf32(512),f=new I.Buf32(32),t=0;t<144;)e.lens[t++]=8;for(;t<256;)e.lens[t++]=9;for(;t<280;)e.lens[t++]=7;for(;t<288;)e.lens[t++]=8;for(T(D,e.lens,0,288,l,0,e.work,{bits:9}),t=0;t<32;)e.lens[t++]=5;T(F,e.lens,0,32,f,0,e.work,{bits:5}),c=false;}e.lencode=l,e.lenbits=9,e.distcode=f,e.distbits=5;}function Z(e,t,r,n){var i,s=e.state;return null===s.window&&(s.wsize=1<<s.wbits,s.wnext=0,s.whave=0,s.window=new I.Buf8(s.wsize)),n>=s.wsize?(I.arraySet(s.window,t,r-s.wsize,s.wsize,0),s.wnext=0,s.whave=s.wsize):(n<(i=s.wsize-s.wnext)&&(i=n),I.arraySet(s.window,t,r-n,i,s.wnext),(n-=i)?(I.arraySet(s.window,t,r-n,n,0),s.wnext=n,s.whave=s.wsize):(s.wnext+=i,s.wnext===s.wsize&&(s.wnext=0),s.whave<s.wsize&&(s.whave+=i))),0}r.inflateReset=o,r.inflateReset2=h,r.inflateResetKeep=a,r.inflateInit=function(e){return u(e,15)},r.inflateInit2=u,r.inflate=function(e,t){var r,n,i,s,a,o,h,u,l,f,c,d,p,m,_,g,b,v,y,w,k,x,S,z,C=0,E=new I.Buf8(4),A=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];if(!e||!e.state||!e.output||!e.input&&0!==e.avail_in)return U;12===(r=e.state).mode&&(r.mode=13),a=e.next_out,i=e.output,h=e.avail_out,s=e.next_in,n=e.input,o=e.avail_in,u=r.hold,l=r.bits,f=o,c=h,x=N;e:for(;;)switch(r.mode){case P:if(0===r.wrap){r.mode=13;break}for(;l<16;){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}if(2&r.wrap&&35615===u){E[r.check=0]=255&u,E[1]=u>>>8&255,r.check=B(r.check,E,2,0),l=u=0,r.mode=2;break}if(r.flags=0,r.head&&(r.head.done=false),!(1&r.wrap)||(((255&u)<<8)+(u>>8))%31){e.msg=\"incorrect header check\",r.mode=30;break}if(8!=(15&u)){e.msg=\"unknown compression method\",r.mode=30;break}if(l-=4,k=8+(15&(u>>>=4)),0===r.wbits)r.wbits=k;else if(k>r.wbits){e.msg=\"invalid window size\",r.mode=30;break}r.dmax=1<<k,e.adler=r.check=1,r.mode=512&u?10:12,l=u=0;break;case 2:for(;l<16;){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}if(r.flags=u,8!=(255&r.flags)){e.msg=\"unknown compression method\",r.mode=30;break}if(57344&r.flags){e.msg=\"unknown header flags set\",r.mode=30;break}r.head&&(r.head.text=u>>8&1),512&r.flags&&(E[0]=255&u,E[1]=u>>>8&255,r.check=B(r.check,E,2,0)),l=u=0,r.mode=3;case 3:for(;l<32;){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}r.head&&(r.head.time=u),512&r.flags&&(E[0]=255&u,E[1]=u>>>8&255,E[2]=u>>>16&255,E[3]=u>>>24&255,r.check=B(r.check,E,4,0)),l=u=0,r.mode=4;case 4:for(;l<16;){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}r.head&&(r.head.xflags=255&u,r.head.os=u>>8),512&r.flags&&(E[0]=255&u,E[1]=u>>>8&255,r.check=B(r.check,E,2,0)),l=u=0,r.mode=5;case 5:if(1024&r.flags){for(;l<16;){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}r.length=u,r.head&&(r.head.extra_len=u),512&r.flags&&(E[0]=255&u,E[1]=u>>>8&255,r.check=B(r.check,E,2,0)),l=u=0;}else r.head&&(r.head.extra=null);r.mode=6;case 6:if(1024&r.flags&&(o<(d=r.length)&&(d=o),d&&(r.head&&(k=r.head.extra_len-r.length,r.head.extra||(r.head.extra=new Array(r.head.extra_len)),I.arraySet(r.head.extra,n,s,d,k)),512&r.flags&&(r.check=B(r.check,n,d,s)),o-=d,s+=d,r.length-=d),r.length))break e;r.length=0,r.mode=7;case 7:if(2048&r.flags){if(0===o)break e;for(d=0;k=n[s+d++],r.head&&k&&r.length<65536&&(r.head.name+=String.fromCharCode(k)),k&&d<o;);if(512&r.flags&&(r.check=B(r.check,n,d,s)),o-=d,s+=d,k)break e}else r.head&&(r.head.name=null);r.length=0,r.mode=8;case 8:if(4096&r.flags){if(0===o)break e;for(d=0;k=n[s+d++],r.head&&k&&r.length<65536&&(r.head.comment+=String.fromCharCode(k)),k&&d<o;);if(512&r.flags&&(r.check=B(r.check,n,d,s)),o-=d,s+=d,k)break e}else r.head&&(r.head.comment=null);r.mode=9;case 9:if(512&r.flags){for(;l<16;){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}if(u!==(65535&r.check)){e.msg=\"header crc mismatch\",r.mode=30;break}l=u=0;}r.head&&(r.head.hcrc=r.flags>>9&1,r.head.done=true),e.adler=r.check=0,r.mode=12;break;case 10:for(;l<32;){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}e.adler=r.check=L(u),l=u=0,r.mode=11;case 11:if(0===r.havedict)return e.next_out=a,e.avail_out=h,e.next_in=s,e.avail_in=o,r.hold=u,r.bits=l,2;e.adler=r.check=1,r.mode=12;case 12:if(5===t||6===t)break e;case 13:if(r.last){u>>>=7&l,l-=7&l,r.mode=27;break}for(;l<3;){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}switch(r.last=1&u,l-=1,3&(u>>>=1)){case 0:r.mode=14;break;case 1:if(j(r),r.mode=20,6!==t)break;u>>>=2,l-=2;break e;case 2:r.mode=17;break;case 3:e.msg=\"invalid block type\",r.mode=30;}u>>>=2,l-=2;break;case 14:for(u>>>=7&l,l-=7&l;l<32;){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}if((65535&u)!=(u>>>16^65535)){e.msg=\"invalid stored block lengths\",r.mode=30;break}if(r.length=65535&u,l=u=0,r.mode=15,6===t)break e;case 15:r.mode=16;case 16:if(d=r.length){if(o<d&&(d=o),h<d&&(d=h),0===d)break e;I.arraySet(i,n,s,d,a),o-=d,s+=d,h-=d,a+=d,r.length-=d;break}r.mode=12;break;case 17:for(;l<14;){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}if(r.nlen=257+(31&u),u>>>=5,l-=5,r.ndist=1+(31&u),u>>>=5,l-=5,r.ncode=4+(15&u),u>>>=4,l-=4,286<r.nlen||30<r.ndist){e.msg=\"too many length or distance symbols\",r.mode=30;break}r.have=0,r.mode=18;case 18:for(;r.have<r.ncode;){for(;l<3;){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}r.lens[A[r.have++]]=7&u,u>>>=3,l-=3;}for(;r.have<19;)r.lens[A[r.have++]]=0;if(r.lencode=r.lendyn,r.lenbits=7,S={bits:r.lenbits},x=T(0,r.lens,0,19,r.lencode,0,r.work,S),r.lenbits=S.bits,x){e.msg=\"invalid code lengths set\",r.mode=30;break}r.have=0,r.mode=19;case 19:for(;r.have<r.nlen+r.ndist;){for(;g=(C=r.lencode[u&(1<<r.lenbits)-1])>>>16&255,b=65535&C,!((_=C>>>24)<=l);){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}if(b<16)u>>>=_,l-=_,r.lens[r.have++]=b;else {if(16===b){for(z=_+2;l<z;){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}if(u>>>=_,l-=_,0===r.have){e.msg=\"invalid bit length repeat\",r.mode=30;break}k=r.lens[r.have-1],d=3+(3&u),u>>>=2,l-=2;}else if(17===b){for(z=_+3;l<z;){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}l-=_,k=0,d=3+(7&(u>>>=_)),u>>>=3,l-=3;}else {for(z=_+7;l<z;){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}l-=_,k=0,d=11+(127&(u>>>=_)),u>>>=7,l-=7;}if(r.have+d>r.nlen+r.ndist){e.msg=\"invalid bit length repeat\",r.mode=30;break}for(;d--;)r.lens[r.have++]=k;}}if(30===r.mode)break;if(0===r.lens[256]){e.msg=\"invalid code -- missing end-of-block\",r.mode=30;break}if(r.lenbits=9,S={bits:r.lenbits},x=T(D,r.lens,0,r.nlen,r.lencode,0,r.work,S),r.lenbits=S.bits,x){e.msg=\"invalid literal/lengths set\",r.mode=30;break}if(r.distbits=6,r.distcode=r.distdyn,S={bits:r.distbits},x=T(F,r.lens,r.nlen,r.ndist,r.distcode,0,r.work,S),r.distbits=S.bits,x){e.msg=\"invalid distances set\",r.mode=30;break}if(r.mode=20,6===t)break e;case 20:r.mode=21;case 21:if(6<=o&&258<=h){e.next_out=a,e.avail_out=h,e.next_in=s,e.avail_in=o,r.hold=u,r.bits=l,R(e,c),a=e.next_out,i=e.output,h=e.avail_out,s=e.next_in,n=e.input,o=e.avail_in,u=r.hold,l=r.bits,12===r.mode&&(r.back=-1);break}for(r.back=0;g=(C=r.lencode[u&(1<<r.lenbits)-1])>>>16&255,b=65535&C,!((_=C>>>24)<=l);){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}if(g&&0==(240&g)){for(v=_,y=g,w=b;g=(C=r.lencode[w+((u&(1<<v+y)-1)>>v)])>>>16&255,b=65535&C,!(v+(_=C>>>24)<=l);){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}u>>>=v,l-=v,r.back+=v;}if(u>>>=_,l-=_,r.back+=_,r.length=b,0===g){r.mode=26;break}if(32&g){r.back=-1,r.mode=12;break}if(64&g){e.msg=\"invalid literal/length code\",r.mode=30;break}r.extra=15&g,r.mode=22;case 22:if(r.extra){for(z=r.extra;l<z;){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}r.length+=u&(1<<r.extra)-1,u>>>=r.extra,l-=r.extra,r.back+=r.extra;}r.was=r.length,r.mode=23;case 23:for(;g=(C=r.distcode[u&(1<<r.distbits)-1])>>>16&255,b=65535&C,!((_=C>>>24)<=l);){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}if(0==(240&g)){for(v=_,y=g,w=b;g=(C=r.distcode[w+((u&(1<<v+y)-1)>>v)])>>>16&255,b=65535&C,!(v+(_=C>>>24)<=l);){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}u>>>=v,l-=v,r.back+=v;}if(u>>>=_,l-=_,r.back+=_,64&g){e.msg=\"invalid distance code\",r.mode=30;break}r.offset=b,r.extra=15&g,r.mode=24;case 24:if(r.extra){for(z=r.extra;l<z;){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}r.offset+=u&(1<<r.extra)-1,u>>>=r.extra,l-=r.extra,r.back+=r.extra;}if(r.offset>r.dmax){e.msg=\"invalid distance too far back\",r.mode=30;break}r.mode=25;case 25:if(0===h)break e;if(d=c-h,r.offset>d){if((d=r.offset-d)>r.whave&&r.sane){e.msg=\"invalid distance too far back\",r.mode=30;break}p=d>r.wnext?(d-=r.wnext,r.wsize-d):r.wnext-d,d>r.length&&(d=r.length),m=r.window;}else m=i,p=a-r.offset,d=r.length;for(h<d&&(d=h),h-=d,r.length-=d;i[a++]=m[p++],--d;);0===r.length&&(r.mode=21);break;case 26:if(0===h)break e;i[a++]=r.length,h--,r.mode=21;break;case 27:if(r.wrap){for(;l<32;){if(0===o)break e;o--,u|=n[s++]<<l,l+=8;}if(c-=h,e.total_out+=c,r.total+=c,c&&(e.adler=r.check=r.flags?B(r.check,i,c,a-c):O(r.check,i,c,a-c)),c=h,(r.flags?u:L(u))!==r.check){e.msg=\"incorrect data check\",r.mode=30;break}l=u=0;}r.mode=28;case 28:if(r.wrap&&r.flags){for(;l<32;){if(0===o)break e;o--,u+=n[s++]<<l,l+=8;}if(u!==(4294967295&r.total)){e.msg=\"incorrect length check\",r.mode=30;break}l=u=0;}r.mode=29;case 29:x=1;break e;case 30:x=-3;break e;case 31:return  -4;case 32:default:return U}return e.next_out=a,e.avail_out=h,e.next_in=s,e.avail_in=o,r.hold=u,r.bits=l,(r.wsize||c!==e.avail_out&&r.mode<30&&(r.mode<27||4!==t))&&Z(e,e.output,e.next_out,c-e.avail_out)?(r.mode=31,-4):(f-=e.avail_in,c-=e.avail_out,e.total_in+=f,e.total_out+=c,r.total+=c,r.wrap&&c&&(e.adler=r.check=r.flags?B(r.check,i,c,e.next_out-c):O(r.check,i,c,e.next_out-c)),e.data_type=r.bits+(r.last?64:0)+(12===r.mode?128:0)+(20===r.mode||15===r.mode?256:0),(0==f&&0===c||4===t)&&x===N&&(x=-5),x)},r.inflateEnd=function(e){if(!e||!e.state)return U;var t=e.state;return t.window&&(t.window=null),e.state=null,N},r.inflateGetHeader=function(e,t){var r;return e&&e.state?0==(2&(r=e.state).wrap)?U:((r.head=t).done=false,N):U},r.inflateSetDictionary=function(e,t){var r,n=t.length;return 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D.Buf16(16),R=null,T=0;for(b=0;b<=15;b++)O[b]=0;for(v=0;v<n;v++)O[t[r+v]]++;for(k=g,w=15;1<=w&&0===O[w];w--);if(w<k&&(k=w),0===w)return i[s++]=20971520,i[s++]=20971520,o.bits=1,0;for(y=1;y<w&&0===O[y];y++);for(k<y&&(k=y),b=z=1;b<=15;b++)if(z<<=1,(z-=O[b])<0)return  -1;if(0<z&&(0===e||1!==w))return  -1;for(B[1]=0,b=1;b<15;b++)B[b+1]=B[b]+O[b];for(v=0;v<n;v++)0!==t[r+v]&&(a[B[t[r+v]]++]=v);if(d=0===e?(A=R=a,19):1===e?(A=F,I-=257,R=N,T-=257,256):(A=U,R=P,-1),b=y,c=s,S=v=E=0,l=-1,f=(C=1<<(x=k))-1,1===e&&852<C||2===e&&592<C)return 1;for(;;){for(p=b-S,_=a[v]<d?(m=0,a[v]):a[v]>d?(m=R[T+a[v]],A[I+a[v]]):(m=96,0),h=1<<b-S,y=u=1<<x;i[c+(E>>S)+(u-=h)]=p<<24|m<<16|_|0,0!==u;);for(h=1<<b-1;E&h;)h>>=1;if(0!==h?(E&=h-1,E+=h):E=0,v++,0==--O[b]){if(b===w)break;b=t[r+a[v]];}if(k<b&&(E&f)!==l){for(0===S&&(S=k),c+=y,z=1<<(x=b-S);x+S<w&&!((z-=O[x+S])<=0);)x++,z<<=1;if(C+=1<<x,1===e&&852<C||2===e&&592<C)return 1;i[l=E&f]=k<<24|x<<16|c-s|0;}}return 0!==E&&(i[c+E]=b-S<<24|64<<16|0),o.bits=k,0};},{\"../utils/common\":41}],51:[function(e,t,r){t.exports={2:\"need dictionary\",1:\"stream end\",0:\"\",\"-1\":\"file error\",\"-2\":\"stream error\",\"-3\":\"data error\",\"-4\":\"insufficient memory\",\"-5\":\"buffer error\",\"-6\":\"incompatible version\"};},{}],52:[function(e,t,r){var i=e(\"../utils/common\"),o=0,h=1;function n(e){for(var t=e.length;0<=--t;)e[t]=0;}var s=0,a=29,u=256,l=u+1+a,f=30,c=19,_=2*l+1,g=15,d=16,p=7,m=256,b=16,v=17,y=18,w=[0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0],k=[0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13],x=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,7],S=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15],z=new Array(2*(l+2));n(z);var C=new Array(2*f);n(C);var E=new Array(512);n(E);var A=new Array(256);n(A);var I=new Array(a);n(I);var O,B,R,T=new Array(f);function D(e,t,r,n,i){this.static_tree=e,this.extra_bits=t,this.extra_base=r,this.elems=n,this.max_length=i,this.has_stree=e&&e.length;}function F(e,t){this.dyn_tree=e,this.max_code=0,this.stat_desc=t;}function N(e){return e<256?E[e]:E[256+(e>>>7)]}function U(e,t){e.pending_buf[e.pending++]=255&t,e.pending_buf[e.pending++]=t>>>8&255;}function P(e,t,r){e.bi_valid>d-r?(e.bi_buf|=t<<e.bi_valid&65535,U(e,e.bi_buf),e.bi_buf=t>>d-e.bi_valid,e.bi_valid+=r-d):(e.bi_buf|=t<<e.bi_valid&65535,e.bi_valid+=r);}function L(e,t,r){P(e,r[2*t],r[2*t+1]);}function j(e,t){for(var r=0;r|=1&e,e>>>=1,r<<=1,0<--t;);return r>>>1}function Z(e,t,r){var n,i,s=new Array(g+1),a=0;for(n=1;n<=g;n++)s[n]=a=a+r[n-1]<<1;for(i=0;i<=t;i++){var o=e[2*i+1];0!==o&&(e[2*i]=j(s[o]++,o));}}function W(e){var t;for(t=0;t<l;t++)e.dyn_ltree[2*t]=0;for(t=0;t<f;t++)e.dyn_dtree[2*t]=0;for(t=0;t<c;t++)e.bl_tree[2*t]=0;e.dyn_ltree[2*m]=1,e.opt_len=e.static_len=0,e.last_lit=e.matches=0;}function M(e){8<e.bi_valid?U(e,e.bi_buf):0<e.bi_valid&&(e.pending_buf[e.pending++]=e.bi_buf),e.bi_buf=0,e.bi_valid=0;}function H(e,t,r,n){var i=2*t,s=2*r;return e[i]<e[s]||e[i]===e[s]&&n[t]<=n[r]}function G(e,t,r){for(var n=e.heap[r],i=r<<1;i<=e.heap_len&&(i<e.heap_len&&H(t,e.heap[i+1],e.heap[i],e.depth)&&i++,!H(t,n,e.heap[i],e.depth));)e.heap[r]=e.heap[i],r=i,i<<=1;e.heap[r]=n;}function K(e,t,r){var n,i,s,a,o=0;if(0!==e.last_lit)for(;n=e.pending_buf[e.d_buf+2*o]<<8|e.pending_buf[e.d_buf+2*o+1],i=e.pending_buf[e.l_buf+o],o++,0===n?L(e,i,t):(L(e,(s=A[i])+u+1,t),0!==(a=w[s])&&P(e,i-=I[s],a),L(e,s=N(--n),r),0!==(a=k[s])&&P(e,n-=T[s],a)),o<e.last_lit;);L(e,m,t);}function Y(e,t){var r,n,i,s=t.dyn_tree,a=t.stat_desc.static_tree,o=t.stat_desc.has_stree,h=t.stat_desc.elems,u=-1;for(e.heap_len=0,e.heap_max=_,r=0;r<h;r++)0!==s[2*r]?(e.heap[++e.heap_len]=u=r,e.depth[r]=0):s[2*r+1]=0;for(;e.heap_len<2;)s[2*(i=e.heap[++e.heap_len]=u<2?++u:0)]=1,e.depth[i]=0,e.opt_len--,o&&(e.static_len-=a[2*i+1]);for(t.max_code=u,r=e.heap_len>>1;1<=r;r--)G(e,s,r);for(i=h;r=e.heap[1],e.heap[1]=e.heap[e.heap_len--],G(e,s,1),n=e.heap[1],e.heap[--e.heap_max]=r,e.heap[--e.heap_max]=n,s[2*i]=s[2*r]+s[2*n],e.depth[i]=(e.depth[r]>=e.depth[n]?e.depth[r]:e.depth[n])+1,s[2*r+1]=s[2*n+1]=i,e.heap[1]=i++,G(e,s,1),2<=e.heap_len;);e.heap[--e.heap_max]=e.heap[1],function(e,t){var r,n,i,s,a,o,h=t.dyn_tree,u=t.max_code,l=t.stat_desc.static_tree,f=t.stat_desc.has_stree,c=t.stat_desc.extra_bits,d=t.stat_desc.extra_base,p=t.stat_desc.max_length,m=0;for(s=0;s<=g;s++)e.bl_count[s]=0;for(h[2*e.heap[e.heap_max]+1]=0,r=e.heap_max+1;r<_;r++)p<(s=h[2*h[2*(n=e.heap[r])+1]+1]+1)&&(s=p,m++),h[2*n+1]=s,u<n||(e.bl_count[s]++,a=0,d<=n&&(a=c[n-d]),o=h[2*n],e.opt_len+=o*(s+a),f&&(e.static_len+=o*(l[2*n+1]+a)));if(0!==m){do{for(s=p-1;0===e.bl_count[s];)s--;e.bl_count[s]--,e.bl_count[s+1]+=2,e.bl_count[p]--,m-=2;}while(0<m);for(s=p;0!==s;s--)for(n=e.bl_count[s];0!==n;)u<(i=e.heap[--r])||(h[2*i+1]!==s&&(e.opt_len+=(s-h[2*i+1])*h[2*i],h[2*i+1]=s),n--);}}(e,t),Z(s,u,e.bl_count);}function X(e,t,r){var n,i,s=-1,a=t[1],o=0,h=7,u=4;for(0===a&&(h=138,u=3),t[2*(r+1)+1]=65535,n=0;n<=r;n++)i=a,a=t[2*(n+1)+1],++o<h&&i===a||(o<u?e.bl_tree[2*i]+=o:0!==i?(i!==s&&e.bl_tree[2*i]++,e.bl_tree[2*b]++):o<=10?e.bl_tree[2*v]++:e.bl_tree[2*y]++,s=i,u=(o=0)===a?(h=138,3):i===a?(h=6,3):(h=7,4));}function V(e,t,r){var n,i,s=-1,a=t[1],o=0,h=7,u=4;for(0===a&&(h=138,u=3),n=0;n<=r;n++)if(i=a,a=t[2*(n+1)+1],!(++o<h&&i===a)){if(o<u)for(;L(e,i,e.bl_tree),0!=--o;);else 0!==i?(i!==s&&(L(e,i,e.bl_tree),o--),L(e,b,e.bl_tree),P(e,o-3,2)):o<=10?(L(e,v,e.bl_tree),P(e,o-3,3)):(L(e,y,e.bl_tree),P(e,o-11,7));s=i,u=(o=0)===a?(h=138,3):i===a?(h=6,3):(h=7,4);}}n(T);var q=false;function J(e,t,r,n){P(e,(s<<1)+(n?1:0),3),function(e,t,r,n){M(e),(U(e,r),U(e,~r)),i.arraySet(e.pending_buf,e.window,t,r,e.pending),e.pending+=r;}(e,t,r);}r._tr_init=function(e){q||(function(){var e,t,r,n,i,s=new Array(g+1);for(n=r=0;n<a-1;n++)for(I[n]=r,e=0;e<1<<w[n];e++)A[r++]=n;for(A[r-1]=n,n=i=0;n<16;n++)for(T[n]=i,e=0;e<1<<k[n];e++)E[i++]=n;for(i>>=7;n<f;n++)for(T[n]=i<<7,e=0;e<1<<k[n]-7;e++)E[256+i++]=n;for(t=0;t<=g;t++)s[t]=0;for(e=0;e<=143;)z[2*e+1]=8,e++,s[8]++;for(;e<=255;)z[2*e+1]=9,e++,s[9]++;for(;e<=279;)z[2*e+1]=7,e++,s[7]++;for(;e<=287;)z[2*e+1]=8,e++,s[8]++;for(Z(z,l+1,s),e=0;e<f;e++)C[2*e+1]=5,C[2*e]=j(e,5);O=new 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e.pending_buf[e.d_buf+2*e.last_lit]=t>>>8&255,e.pending_buf[e.d_buf+2*e.last_lit+1]=255&t,e.pending_buf[e.l_buf+e.last_lit]=255&r,e.last_lit++,0===t?e.dyn_ltree[2*r]++:(e.matches++,t--,e.dyn_ltree[2*(A[r]+u+1)]++,e.dyn_dtree[2*N(t)]++),e.last_lit===e.lit_bufsize-1},r._tr_align=function(e){P(e,2,3),L(e,m,z),function(e){16===e.bi_valid?(U(e,e.bi_buf),e.bi_buf=0,e.bi_valid=0):8<=e.bi_valid&&(e.pending_buf[e.pending++]=255&e.bi_buf,e.bi_buf>>=8,e.bi_valid-=8);}(e);};},{\"../utils/common\":41}],53:[function(e,t,r){t.exports=function(){this.input=null,this.next_in=0,this.avail_in=0,this.total_in=0,this.output=null,this.next_out=0,this.avail_out=0,this.total_out=0,this.msg=\"\",this.state=null,this.data_type=2,this.adler=0;};},{}],54:[function(e,t,r){(function(e){!function(r,n){if(!r.setImmediate){var i,s,t,a,o=1,h={},u=false,l=r.document,e=Object.getPrototypeOf&&Object.getPrototypeOf(r);e=e&&e.setTimeout?e:r,i=\"[object 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Current usage: ${(totalBytes / 1024 / 1024).toFixed(2)} MB. 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Returns the shaped view for this call.\n  async function cacheAndReturn(parsedData, cacheKeyValue, idValue, finalUrl) {\n    const enriched = { ...parsedData, finalUrl };\n    if (cache) {\n      try {\n        await localforage.setItem(cacheKeyValue, {\n          data: enriched,\n          cachedAt: Date.now()\n        });\n        console.log(`get23Txt(): Successfully cached data for ${cacheKeyValue}`);\n        await limitStorage([idValue]);\n      } catch (err) {\n        console.warn(`get23Txt(): Failed to cache ${cacheKeyValue}:`, err);\n      }\n    }\n    return shapeReturn(enriched, finalUrl);\n  }\n\n  // ── File object / FileList branch ───────────────────────────────────────────\n  const isFileInstance = typeof File !== \"undefined\" && path instanceof File;\n  const isFileLikeObject = !!path && typeof path === \"object\" && typeof path.text === \"function\";\n  const isFileListLike = !!path &&\n    typeof path === \"object\" &&\n    typeof path.length === \"number\" &&\n    path.length > 0 &&\n    typeof path[0] ?.text === \"function\";\n\n  if (isFileInstance || isFileLikeObject || isFileListLike) {\n    const file = isFileListLike ? path[0] : path;\n    console.log(`get23Txt(): Detected file input for ${file.name}:`, file);\n    //    console.log(`get23Txt(): File object received: ${file.name}`);\n    assertSupportedGenomeVersionLabel(file.name, \"upload file\");\n\n    const fileId = id || file.name;\n    const fileCacheKey = GET23_KEY_PREFIX + fileId;\n\n    if (cache) {\n      try {\n        const cached = await localforage.getItem(fileCacheKey);\n        if (cached && cached.data) {\n          console.log(`get23Txt(): Cache hit for ${fileCacheKey}`);\n          return shapeReturn(cached.data, cached.data.finalUrl || file.name);\n        }\n      } catch (err) {\n        console.warn(`get23Txt(): Cache read failed for ${fileCacheKey}:`, err);\n      }\n    }\n\n    console.log(`get23Txt(): Cache miss for ${fileCacheKey}, reading file...`);\n\n    const txt = await file.text();\n    const parsed = await parse23Txt(txt, file.name);\n    return cacheAndReturn(parsed, fileCacheKey, fileId, file.name);\n  }\n  // ── String path / URL branch ─────────────────────────────────────────────────\n\n  if (typeof path !== \"string\") {\n    throw new TypeError(\"get23Txt expects a path/URL string or a File/FileList object\");\n  }\n\n  //console.log(`get23Txt(): Loading genomic data from ${path}...`);\n\n  // Extract ID from path if not provided (e.g., from PGP URL)\n  if (!id) {\n    const idMatch = path.match(/hu[A-Z0-9]+/i) || path.match(/\\/([^\\/]+)\\/?$/);\n    id = idMatch ? idMatch[0] : path;\n  }\n\n  const cacheKey = GET23_KEY_PREFIX + id;\n\n  // Check localforage for cached data\n  if (cache) {\n    try {\n      const cached = await localforage.getItem(cacheKey);\n      if (cached && cached.data) {\n        console.log(`get23Txt(): Cache hit for ${cacheKey}`);\n        return shapeReturn(cached.data, cached.data.finalUrl || path);\n      }\n    } catch (err) {\n      console.warn(`get23Txt(): Cache read failed for ${cacheKey}:`, err);\n    }\n  }\n\n  console.log(`get23Txt(): Cache miss for ${cacheKey}, fetching...`);\n\n\n\n  const isRemote = /^https?:\\/\\//.test(path);\n  const isTxtFile = path.toLowerCase().endsWith(\".txt\");\n  const isZipLike = path.toLowerCase().includes(\"pgp-hms.org\") || path.toLowerCase().endsWith(\".zip\");\n  path.toLowerCase().includes(\"pgp-hms.org\") ||\n    path.toLowerCase().endsWith(\".zip\");\n\n  // Local or direct .txt files\n  if (!isRemote || (isTxtFile && !isZipLike)) {\n    if (!isRemote) {\n      assertSupportedGenomeVersionLabel(path, \"upload file\");\n    }\n\n    const response = await fetch(path);\n    if (!response.ok) {\n      throw new Error(`Failed to load ${path}: ${response.status}`);\n    }\n\n    const txt = await response.text();\n    return cacheAndReturn(await parse23Txt(txt, path), cacheKey, id, path);\n  }\n\n  // Remote PGP / ZIP URLs\n  const WORKER_BASE = \"https://lorena-api.lorenasandoval88.workers.dev/?url=\";\n  const target = path;\n\n  const candidates = [{\n      name: \"cf-worker\",\n      url: `${WORKER_BASE}${encodeURIComponent(target)}`\n    },\n    {\n      name: \"local-proxy\",\n      url: \"http://localhost:3000/pgp-stats\"\n    },\n    {\n      name: \"allorigins\",\n      url: `https://api.allorigins.win/raw?url=${encodeURIComponent(target)}`\n    },\n    {\n      name: \"corsproxy\",\n      url: `https://corsproxy.io/?${target}`\n    },\n    {\n      name: \"github-pages-proxy\",\n      url: \"https://lorenasandoval88.github.io/personal_genomes_project_sdk/pgp-stats\"\n    }\n  ];\n  let finalResponse = null;\n  let finalUrl = null;\n  let successSource = null;\n  let lastError = null;\n\n  for (const candidate of candidates) {\n    try {\n      console.log(`get23Txt(): Trying ${candidate.name}...from url ${candidate.url}`);\n      const response = await fetch(candidate.url);\n\n      console.log(\n        `get23Txt(): Received response from ${candidate.name}: HTTP ${response.status}`,\n        response\n      );\n\n      if (!response.ok) {\n        throw new Error(`HTTP ${response.status}`);\n      }\n\n      const contentType = response.headers.get(\"content-type\") || \"\";\n      const exposedFinalUrl =\n        response.headers.get(\"x-final-url\") ||\n        response.headers.get(\"X-Final-URL\") ||\n        response.url;\n\n      //   console.log(`content-type from ${candidate.name}: ${contentType}`);\n      //  console.log(`finalUrl from ${candidate.name}: ${exposedFinalUrl}`);\n\n      // 👇 get header FIRST\n      finalResponse = response;\n      finalUrl = exposedFinalUrl;\n      console.log(`get23Txt(): Successfully fetched from ${candidate.name}. Final URL: ${finalUrl}, Content-Type: ${contentType}`);\n      successSource = candidate.name;\n      break;\n\n\n    } catch (err) {\n      console.warn(` ${candidate.name} failed: ${err.message}`);\n      lastError = err;\n    }\n  }\n\n  if (!finalResponse) {\n    throw new Error(`All proxy candidates failed for ${path}: ${lastError?.message}`);\n  }\n\n  if (!finalUrl) {\n    finalUrl = finalResponse.url;\n  }\n\n  console.log(`get23Txt(): Success with ${successSource} with final URL: ${finalUrl}`);\n\n  // ------------------------------------------------------------\n  // Route by final URL type\n  // ------------------------------------------------------------\n\n  // 1) Direct TXT\n  if (finalUrl.endsWith(\".txt\")) {\n    assertSupportedGenomeVersionLabel(finalUrl, \"href\");\n    const txt = await finalResponse.text();\n\n    if (!txt || !txt.trim()) {\n      throw new Error(`TXT response from ${successSource} is empty`);\n    }\n\n    console.log(`get23Txt(): Loaded direct TXT from ${successSource}`);\n    return cacheAndReturn(await parse23Txt(txt, finalUrl), cacheKey, id, finalUrl);\n  }\n\n  // 2) Direct ZIP\n  else if (finalUrl.endsWith(\".zip\")) {\n    const buffer = await finalResponse.arrayBuffer();\n\n    if (!buffer || buffer.byteLength === 0) {\n      throw new Error(`ZIP response from ${successSource} is empty`);\n    }\n\n    console.log(`get23Txt(): Loaded ZIP buffer from ${successSource}`, buffer);\n\n    const bytes = new Uint8Array(buffer);\n    const isZipBuffer = bytes.length >= 2 && bytes[0] === 0x50 && bytes[1] === 0x4b;\n\n    if (!isZipBuffer) {\n      const preview = new TextDecoder(\"utf-8\").decode(bytes.slice(0, 300));\n      console.error(\"get23Txt(): Response is not a ZIP file. 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t^!!o.segmentsIntersect(l,h,l+1e6,h+1e6,e[0],e[1],e[2],e[3])}),false)){U.forEach((function(t){var e=o.segmentsIntersect(f,p,l,h,t[0],t[1],t[2],t[3]);e&&(f=e.x,p=e.y);}));var V=e.arrowwidth,q=e.arrowcolor,H=e.arrowside,G=P.append(\"g\").style({opacity:c.opacity(q)}).classed(\"annotation-arrow-g\",true),Z=G.append(\"path\").attr(\"d\",\"M\"+f+\",\"+p+\"L\"+l+\",\"+h).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(q));if(g(Z,H,e),k.annotationPosition&&Z.node().parentNode&&!a){var W=l,Y=h;if(e.standoff){var X=Math.sqrt(Math.pow(l-f,2)+Math.pow(h-p,2));W+=e.standoff*(f-l)/X,Y+=e.standoff*(p-h)/X;}var $,J,K=G.append(\"path\").classed(\"annotation-arrow\",true).classed(\"anndrag\",true).classed(\"cursor-move\",true).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(f-W)+\",\"+(p-Y),transform:s(W,Y)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:K.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);$=t.x,J=t.y,y&&y.autorange&&M(y._name+\".autorange\",true),x&&x.autorange&&M(x._name+\".autorange\",true);},moveFn:function(t,r){var n=w($,J),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",v(y,t,\"x\",T,e)),S(\"y\",v(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",v(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",v(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),z.attr({transform:\"rotate(\"+I+\",\"+i+\",\"+a+\")\"});},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj);}});}}};e.showarrow&&At(0,0),O&&d.init({element:R.node(),gd:t,prepFn:function(){kt=z.attr(\"transform\");},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",v(y,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",v(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else {if(a)return;var i,o;if(y)i=v(y,t,\"x\",T,e);else {var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor);}if(x)o=v(x,r,\"y\",T,e);else {var u=e._ysize/T.h,h=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(h-r/T.h,u,0,1,e.yanchor);}S(\"x\",i),S(\"y\",o),y&&x||(n=d.getCursor(y?.5:i,x?.5:o,e.xanchor,e.yanchor));}z.attr({transform:s(t,r)+kt}),p(R,n);},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Z(n));},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj);}});}}}t.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&y(t,r);return a.previousPromises(t)},drawOne:y,drawRaw:x};},23768:function(t,e,r){var n=r(45568),i=r(78766),a=r(11645),o=r(34809),s=o.strScale,l=o.strRotate,c=o.strTranslate;t.exports=function(t,e,r){var o,u,h,f,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),v=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,_=d.backoff*g+r.standoff,b=m.backoff*y+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(f=(h=Math.atan2(T,w))+Math.PI,_&&b&&_+b>Math.sqrt(w*w+T*T))return void O();if(_){if(_*_>w*w+T*T)return void O();var k=_*Math.cos(h),A=_*Math.sin(h);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y});}if(b){if(b*b>w*w+T*T)return void O();var M=b*Math.cos(h),S=b*Math.sin(h);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y});}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),C=\"\";if(E<_+b)return void O();var L=p.getPointAtLength(0),I=p.getPointAtLength(.1);h=Math.atan2(L.y-I.y,L.x-I.x),o=p.getPointAtLength(Math.min(b,E)),C=\"0px,\"+b+\"px,\";var P=p.getPointAtLength(E),z=p.getPointAtLength(E-.1);f=Math.atan2(P.y-z.y,P.x-z.x),u=p.getPointAtLength(Math.max(0,E-_)),C+=E-(C?b+_:_)+\"px,\"+E+\"px\",t.style(\"stroke-dasharray\",C);}function O(){t.style(\"stroke-dasharray\",\"0px,100px\");}function D(e,a,o,u){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append(\"path\").attr({class:t.attr(\"class\"),d:e.path,transform:c(a.x,a.y)+l(180*o/Math.PI)+s(u)}).style({fill:i.rgb(r.arrowcolor),\"stroke-width\":0}));}v&&D(m,o,h,y),x&&D(d,u,f,g);};},3599:function(t,e,r){var n=r(3377),i=r(6035);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(50222),supplyLayoutDefaults:r(63737),includeBasePlot:r(20706)(\"annotations\"),calcAutorange:r(60317),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(59741)};},38239:function(t,e,r){var n=r(50222),i=r(13582).overrideAll,a=r(78032).templatedArray;t.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\");},47979:function(t,e,r){var n=r(34809),i=r(29714);function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:\"linear\",autorange:false,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return .5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return .5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])};}t.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove();};},34232:function(t,e,r){var n=r(34809),i=r(29714),a=r(59008),o=r(53271),s=r(38239);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function c(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),c(\"x\"),c(\"y\"),c(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])));}t.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout});};},9756:function(t,e,r){var n=r(3377).drawRaw,i=r(25802),a=[\"x\",\"y\",\"z\"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=false,u=0;u<3;u++){var h=a[u],f=l[h],p=e[h+\"axis\"].r2fraction(f);if(p<0||p>1){c=true;break}}c?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya));}};},83348:function(t,e,r){var n=r(33626),i=r(34809);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(38239)}}},layoutAttributes:r(38239),handleDefaults:r(34232),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l));}},convert:r(47979),draw:r(9756)};},37177:function(t,e,r){t.exports=r(24453),r(23428),r(1401),r(72210),r(28569),r(81133),r(78295),r(25512),r(42645),r(62324),r(91662),r(66445),r(50506),r(84756),r(41858),r(57985);},29698:function(t,e,r){var n=r(37177),i=r(34809),a=r(63821),o=a.EPOCHJD,s=a.ONEDAY,l={valType:\"enumerated\",values:i.sortObjectKeys(n.calendars),editType:\"calc\",dflt:\"gregorian\"},c=function(t,e,r,n){var a={};return a[r]=l,i.coerce(t,e,a,r,n)},u=\"##\",h={d:{0:\"dd\",\"-\":\"d\"},e:{0:\"d\",\"-\":\"d\"},a:{0:\"D\",\"-\":\"D\"},A:{0:\"DD\",\"-\":\"DD\"},j:{0:\"oo\",\"-\":\"o\"},W:{0:\"ww\",\"-\":\"w\"},m:{0:\"mm\",\"-\":\"m\"},b:{0:\"M\",\"-\":\"M\"},B:{0:\"MM\",\"-\":\"MM\"},y:{0:\"yy\",\"-\":\"yy\"},Y:{0:\"yyyy\",\"-\":\"yyyy\"},U:u,w:u,c:{0:\"D M d %X yyyy\",\"-\":\"D M d %X yyyy\"},x:{0:\"mm/dd/yyyy\",\"-\":\"mm/dd/yyyy\"}},f={};function p(t){var e=f[t];return e||(f[t]=n.instance(t))}function d(t){return i.extendFlat({},l,{description:t})}function m(t){return \"Sets the calendar system to use with `\"+t+\"` date data.\"}var g={xcalendar:d(m(\"x\"))},y=i.extendFlat({},g,{ycalendar:d(m(\"y\"))}),v=i.extendFlat({},y,{zcalendar:d(m(\"z\"))}),x=d([\"Sets the calendar system to use for `range` and `tick0`\",\"if this is a date axis. This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));t.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:y,bar:y,box:y,heatmap:y,contour:y,histogram:y,histogram2d:y,histogram2dcontour:y,scatter3d:v,surface:v,mesh3d:v,scattergl:y,ohlc:g,candlestick:g},layout:{calendar:d([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:x},yaxis:{calendar:x},scene:{xaxis:{calendar:x},yaxis:{calendar:x},zaxis:{calendar:x}},polar:{radialaxis:{calendar:x}}},transforms:{filter:{valuecalendar:d([\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\",\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:d([\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\",\"Sets the calendar system to use for `target`, if it is an\",\"array of dates. If `target` is a string (eg *x*) we use the\",\"corresponding trace attribute (eg `xcalendar`) if it exists,\",\"even if `targetcalendar` is provided.\"].join(\" \"))}}},layoutAttributes:l,handleDefaults:c,handleTraceDefaults:function(t,e,r,n){for(var i=0;i<r.length;i++)c(t,e,r[i]+\"calendar\",n.calendar);},CANONICAL_SUNDAY:{chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},CANONICAL_TICK:{chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},DFLTRANGE:{chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},getCal:p,worldCalFmt:function(t,e,r){for(var 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if(\"colorscale\"===n.substr(n.length-10)&&Array.isArray(i))for(r=0;r<i.length;r++)Array.isArray(i[r])&&(i[r][1]=u(i[r][1]));else if(Array.isArray(i)){var l=i[0];if(!Array.isArray(l)&&l&&\"object\"==typeof l)for(r=0;r<i.length;r++)o.clean(i[r]);}else i&&\"object\"==typeof i&&!a(i)&&o.clean(i);}};},25158:function(t,e,r){var n=r(25829),i=r(80337),a=r(93049).extendFlat,o=r(13582).overrideAll;t.exports=o({orientation:{valType:\"enumerated\",values:[\"h\",\"v\"],dflt:\"v\"},thicknessmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\"},thickness:{valType:\"number\",min:0,dflt:30},lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"]},xpad:{valType:\"number\",min:0,dflt:10},y:{valType:\"number\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"]},ypad:{valType:\"number\",min:0,dflt:10},outlinecolor:n.linecolor,outlinewidth:n.linewidth,bordercolor:n.linecolor,borderwidth:{valType:\"number\",min:0,dflt:0},bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\"},tickmode:n.minor.tickmode,nticks:n.nticks,tick0:n.tick0,dtick:n.dtick,tickvals:n.tickvals,ticktext:n.ticktext,ticks:a({},n.ticks,{dflt:\"\"}),ticklabeloverflow:a({},n.ticklabeloverflow,{}),ticklabelposition:{valType:\"enumerated\",values:[\"outside\",\"inside\",\"outside 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n=r(34809),i=r(78032),a=r(22777),o=r(87433),s=r(12036),l=r(54616),c=r(25158);t.exports=function(t,e,r){var u=i.newContainer(e,\"colorbar\"),h=t.colorbar||{};function f(t,e){return n.coerce(h,u,c,t,e)}var p=r.margin||{t:0,b:0,l:0,r:0},d=r.width-p.l-p.r,m=r.height-p.t-p.b,g=\"v\"===f(\"orientation\"),y=f(\"thicknessmode\");f(\"thickness\",\"fraction\"===y?30/(g?d:m):30);var v=f(\"lenmode\");f(\"len\",\"fraction\"===v?1:g?m:d);var x,_,b,w=\"paper\"===f(\"yref\"),T=\"paper\"===f(\"xref\"),k=\"left\";g?(b=\"middle\",k=T?\"left\":\"right\",x=T?1.02:1,_=.5):(b=w?\"bottom\":\"top\",k=\"center\",x=.5,_=w?1.02:1),n.coerce(h,u,{x:{valType:\"number\",min:T?-2:0,max:T?3:1,dflt:x}},\"x\"),n.coerce(h,u,{y:{valType:\"number\",min:w?-2:0,max:w?3:1,dflt:_}},\"y\"),f(\"xanchor\",k),f(\"xpad\"),f(\"yanchor\",b),f(\"ypad\"),n.noneOrAll(h,u,[\"x\",\"y\"]),f(\"outlinecolor\"),f(\"outlinewidth\"),f(\"bordercolor\"),f(\"borderwidth\"),f(\"bgcolor\");var A=n.coerce(h,u,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:g?[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]:[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]}},\"ticklabelposition\");f(\"ticklabeloverflow\",-1!==A.indexOf(\"inside\")?\"hide past domain\":\"hide past div\"),a(h,u,f,\"linear\");var M=r.font,S={noAutotickangles:true,noTicklabelshift:true,noTicklabelstandoff:true,outerTicks:false,font:M};-1!==A.indexOf(\"inside\")&&(S.bgColor=\"black\"),l(h,u,f,\"linear\",S),s(h,u,f,\"linear\",S),o(h,u,f,\"linear\",S),f(\"title.text\",r._dfltTitle.colorbar);var E=u.showticklabels?u.tickfont:M,C=n.extendFlat({},M,{family:E.family,size:n.bigFont(E.size)});n.coerceFont(f,\"title.font\",C),f(\"title.side\",g?\"top\":\"right\");};},5881:function(t,e,r){var n=r(45568),i=r(65657),a=r(44122),o=r(33626),s=r(29714),l=r(14751),c=r(34809),u=c.strTranslate,h=r(93049).extendFlat,f=r(27983),p=r(62203),d=r(78766),m=r(17240),g=r(30635),y=r(65477).flipScale,v=r(97655),x=r(40957),_=r(25829),b=r(4530),w=b.LINE_SPACING,T=b.FROM_TL,k=b.FROM_BR,A=r(34554).cn;t.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return h(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){\"function\"==typeof i.calc?i.calc(t,n,e):(e._fillgradient=r.reversescale?y(r.colorscale):r.colorscale,e._zrange=[r[i.min],r[i.max]]);}for(var u=0;u<o.length;u++){var f=o[u];if((n=f[0].trace)._module){var p=n._module.colorbar;if(true===n.visible&&p)for(var d=Array.isArray(p),m=d?p:[p],g=0;g<m.length;g++){var v=(i=m[g]).container;(r=v?n[v]:n)&&r.showscale&&((e=l(r.colorbar))._id=\"cb\"+n.uid+(d&&v?\"-\"+v:\"\"),e._traceIndex=n.index,e._propPrefix=(v?v+\".\":\"\")+\"colorbar.\",e._meta=n._meta,c(),s.push(e));}}}for(var x in a._colorAxes)if((r=a[x]).showscale){var _=a._colorAxes[x];(e=l(r.colorbar))._id=\"cb\"+x,e._propPrefix=x+\".colorbar.\",e._meta=a._meta,i={min:\"cmin\",max:\"cmax\"},\"heatmap\"!==_[0]&&(n=_[1],i.calc=n._module.colorbar.calc),c(),s.push(e);}return s}(t),(function(t){return t._id}));e.enter().append(\"g\").attr(\"class\",(function(t){return t._id})).classed(A.colorbar,true),e.each((function(e){var r=n.select(this);c.ensureSingle(r,\"rect\",A.cbbg),c.ensureSingle(r,\"g\",A.cbfills),c.ensureSingle(r,\"g\",A.cblines),c.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,true);})),c.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,true);})),c.ensureSingle(r,\"rect\",A.cboutline);var y=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,f=e.lenmode,y=e.thickness,b=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,C=e.xanchor,L=e.yanchor,I=e.xpad,P=e.ypad,z=e.x,O=o?e.y:1-e.y,D=\"paper\"===e.yref,R=\"paper\"===e.xref,F=r._fullLayout,B=F._size,N=e._fillcolor,j=e._line,U=e.title,V=U.side,q=e._zrange||n.extent((\"function\"==typeof N?N:j.color).domain()),H=\"function\"==typeof j.color?j.color:function(){return j.color},G=\"function\"==typeof N?N:function(){return N},Z=e._levels,W=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],h=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<h&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var f=e._filllevels;if(f)for(l=f.end+f.size/100,c=f.size,i=0;i<1e5&&(n=f.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else (s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size);}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);return a.size<0&&(o.reverse(),s.reverse()),{line:o,fill:s}}(0,e,q),Y=W.fill,X=W.line,$=Math.round(y*(\"fraction\"===b?o?B.w:B.h:1)),J=$/(o?B.w:B.h),K=Math.round(l*(\"fraction\"===f?o?B.h:B.w:1)),Q=K/(o?B.h:B.w),tt=R?B.w:r._fullLayout.width,et=D?B.h:r._fullLayout.height,rt=Math.round(o?z*tt+I:O*et+P),nt={center:.5,right:1}[C]||0,it={top:1,middle:.5}[L]||0,at=o?z-nt*J:O-it*J,ot=o?O-it*Q:z-nt*Q,st=Math.round(o?et*(1-ot):tt*ot);e._lenFrac=Q,e._thickFrac=J,e._uFrac=at,e._vFrac=ot;var lt=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,labelalias:e.labelalias,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:true,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noAutotickangles:\"y\"===o,noHover:true,noTickson:true,noTicklabelmode:true,noInsideRange:true,calendar:n.calendar};function u(t,e){return c.coerce(a,s,_,t,e)}return v(a,s,u,l,n),x(a,s,u,l),s}(r,e,q);lt.position=J+(o?z+I/B.w:O+P/B.h);var ct=-1!==[\"top\",\"bottom\"].indexOf(V);if(o&&ct&&(lt.title.side=V,lt.titlex=z+I/B.w,lt.titley=ot+(\"top\"===U.side?Q-P/B.h:P/B.h)),o||ct||(lt.title.side=V,lt.titley=O+P/B.h,lt.titlex=ot+I/B.w),j.color&&\"auto\"===e.tickmode){lt.tickmode=\"linear\",lt.tick0=Z.start;var ut=Z.size,ht=c.constrain(K/50,4,15)+1,ft=(q[1]-q[0])/((e.nticks||ht)*ut);if(ft>1){var pt=Math.pow(10,Math.floor(Math.log(ft)/Math.LN10));ut*=pt*c.roundUp(ft/pt,[2,5,10]),(Math.abs(Z.start)/Z.size+1e-6)%1<2e-6&&(lt.tick0=0);}lt.dtick=ut;}lt.domain=o?[ot+P/B.h,ot+Q-P/B.h]:[ot+I/B.w,ot+Q-I/B.w],lt.setScale(),t.attr(\"transform\",u(Math.round(B.l),Math.round(B.t)));var dt,mt=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",u(-Math.round(B.l),-Math.round(B.t))),gt=lt.ticklabelposition,yt=lt.title.font.size,vt=t.select(\".\"+A.cbaxis),xt=0,_t=0;function bt(n,i){var a={propContainer:lt,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:F._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),m.draw(r,n,h(a,i||{}));}return c.syncOrAsync([a.previousPromises,function(){var t,e;(o&&ct||!o&&!ct)&&(\"top\"===V&&(t=I+B.l+tt*z,e=P+B.t+et*(1-ot-Q)+3+.75*yt),\"bottom\"===V&&(t=I+B.l+tt*z,e=P+B.t+et*(1-ot)-3-.25*yt),\"right\"===V&&(e=P+B.t+et*O+3+.75*yt,t=I+B.l+tt*ot),bt(lt._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}));},function(){if(!o&&!ct||o&&ct){var a,l=t.select(\".\"+A.cbtitle),h=l.select(\"text\"),f=[-M/2,M/2],d=l.select(\".h\"+lt._id+\"title-math-group\").node(),m=15.6;if(h.node()&&(m=parseInt(h.node().style.fontSize,10)*w),d?(a=p.bBox(d),_t=a.width,(xt=a.height)>m&&(f[1]-=(xt-m)/2)):h.node()&&!h.classed(A.jsPlaceholder)&&(a=p.bBox(h.node()),_t=a.width,xt=a.height),o){if(xt){if(xt+=5,\"top\"===V)lt.domain[1]-=xt/B.h,f[1]*=-1;else {lt.domain[0]+=xt/B.h;var y=g.lineCount(h);f[1]+=(1-y)*m;}l.attr(\"transform\",u(f[0],f[1])),lt.setScale();}}else _t&&(\"right\"===V&&(lt.domain[0]+=(_t+yt/2)/B.w),l.attr(\"transform\",u(f[0],f[1])),lt.setScale());}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(B.h*(1-lt.domain[1]))):u(Math.round(B.w*lt.domain[0]),0)),vt.attr(\"transform\",o?u(0,Math.round(-B.t)):u(Math.round(-B.l),0));var v=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);v.enter().append(\"rect\").classed(A.cbfill,true).attr(\"style\",\"\"),v.exit().remove();var 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n=r(45568),i=r(10721),a=r(65657),o=r(34809),s=o.pushUnique,l=o.strTranslate,c=o.strRotate,u=r(68596),h=r(30635),f=r(93134),p=r(62203),d=r(78766),m=r(14751),g=r(29714),y=r(54826).zindexSeparator,v=r(33626),x=r(36040),_=r(85988),b=r(73970),w=r(6134),T=_.YANGLE,k=Math.PI*T/180,A=1/Math.sin(k),M=Math.cos(k),S=Math.sin(k),E=_.HOVERARROWSIZE,C=_.HOVERTEXTPAD,L={box:true,ohlc:true,violin:true,candlestick:true},I={scatter:true,scattergl:true,splom:true};function P(t,e){return t.distance-e.distance}function z(t){return [t.trace.index,t.index,t.x0,t.y0,t.name,t.attr,t.xa?t.xa._id:\"\",t.ya?t.ya._id:\"\"].join(\",\")}e.hover=function(t,e,r,a){t=o.getGraphDiv(t);var l=e.target;o.throttle(t._fullLayout._uid+_.HOVERID,_.HOVERMINTIME,(function(){!function(t,e,r,a,l){r||(r=\"xy\"),\"string\"==typeof r&&(r=r.split(y)[0]);var c,h,p,_=Array.isArray(r)?r:[r],b=t._fullLayout,w=b.hoversubplots,T=b._plots||[],k=T[r],M=b._has(\"cartesian\"),S=e.hovermode||b.hovermode,C=\"x\"===(S||\"\").charAt(0),O=\"y\"===(S||\"\").charAt(0);if(M&&(C||O)&&\"axis\"===w)for(var R=_.length,V=0;V<R;V++)if(T[c=_[V]]){h=g.getFromId(t,c,\"x\"),p=g.getFromId(t,c,\"y\");var Z=(C?h:p)._subplotsWith;if(Z&&Z.length)for(var W=0;W<Z.length;W++)s(_,Z[W]);}if(k&&\"single\"!==w){var Y=k.overlays.map((function(t){return t.id}));_=_.concat(Y);}for(var X=_.length,$=new Array(X),J=new Array(X),K=false,Q=0;Q<X;Q++)if(T[c=_[Q]])K=true,$[Q]=T[c].xaxis,J[Q]=T[c].yaxis;else {if(!b[c]||!b[c]._subplot)return void o.warn(\"Unrecognized subplot: \"+c);var tt=b[c]._subplot;$[Q]=tt.xaxis,J[Q]=tt.yaxis;}if(S&&!K&&(S=\"closest\"),-1===[\"x\",\"y\",\"closest\",\"x unified\",\"y unified\"].indexOf(S)||!t.calcdata||t.querySelector(\".zoombox\")||t._dragging)return m.unhoverRaw(t,e);var et=b.hoverdistance;-1===et&&(et=1/0);var rt=b.spikedistance;-1===rt&&(rt=1/0);var nt,it,at,ot,st,lt,ct,ut,ht,ft,pt,dt,mt,gt=[],yt=[],vt={hLinePoint:null,vLinePoint:null},xt=false;if(Array.isArray(e))for(S=\"array\",at=0;at<e.length;at++)(st=t.calcdata[e[at].curveNumber||0])&&(lt=st[0].trace,\"skip\"!==st[0].trace.hoverinfo&&(yt.push(st),\"h\"===lt.orientation&&(xt=true)));else {var _t,bt,wt=t.calcdata.slice();for(wt.sort((function(t,e){return (t[0].trace.zorder||0)-(e[0].trace.zorder||0)})),ot=0;ot<wt.length;ot++)st=wt[ot],\"skip\"!==(lt=st[0].trace).hoverinfo&&x.isTraceInSubplots(lt,_)&&(yt.push(st),\"h\"===lt.orientation&&(xt=true));if(l){if(false===u.triggerHandler(t,\"plotly_beforehover\",e))return;var Tt=l.getBoundingClientRect();_t=e.clientX-Tt.left,bt=e.clientY-Tt.top,b._calcInverseTransform(t);var kt=o.apply3DTransform(b._invTransform)(_t,bt);if(_t=kt[0],bt=kt[1],_t<0||_t>$[0]._length||bt<0||bt>J[0]._length)return m.unhoverRaw(t,e)}else _t=\"xpx\"in e?e.xpx:$[0]._length/2,bt=\"ypx\"in e?e.ypx:J[0]._length/2;if(e.pointerX=_t+$[0]._offset,e.pointerY=bt+J[0]._offset,nt=\"xval\"in e?x.flat(_,e.xval):x.p2c($,_t),it=\"yval\"in e?x.flat(_,e.yval):x.p2c(J,bt),!i(nt[0])||!i(it[0]))return o.warn(\"Fx.hover failed\",e,t),m.unhoverRaw(t,e)}var At=1/0;function Mt(r,n){for(ot=0;ot<yt.length;ot++)if((st=yt[ot])&&st[0]&&st[0].trace&&true===(lt=st[0].trace).visible&&0!==lt._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(lt._module.name)){if(ht=S,x.isUnifiedHover(ht)&&(ht=ht.charAt(0)),\"splom\"===lt.type?ct=_[ut=0]:(ct=x.getSubplot(lt),ut=_.indexOf(ct)),dt={cd:st,trace:lt,xa:$[ut],ya:J[ut],maxHoverDistance:et,maxSpikeDistance:rt,index:false,distance:Math.min(At,et),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:d.defaultLine,name:lt.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},b[ct]&&(dt.subplot=b[ct]._subplot),b._splomScenes&&b._splomScenes[lt.uid]&&(dt.scene=b._splomScenes[lt.uid]),\"array\"===ht){var a=e[ot];\"pointNumber\"in a?(dt.index=a.pointNumber,ht=\"closest\"):(ht=\"\",\"xval\"in a&&(ft=a.xval,ht=\"x\"),\"yval\"in a&&(pt=a.yval,ht=ht?\"closest\":\"y\"));}else void 0!==r&&void 0!==n?(ft=r,pt=n):(ft=nt[ut],pt=it[ut]);if(mt=gt.length,0!==et)if(lt._module&&lt._module.hoverPoints){var s=lt._module.hoverPoints(dt,ft,pt,ht,{finiteRange:true,hoverLayer:b._hoverlayer,hoversubplots:w,gd:t});if(s)for(var l,c=0;c<s.length;c++)l=s[c],i(l.x0)&&i(l.y0)&&gt.push(N(l,S));}else o.log(\"Unrecognized trace type in hover:\",lt);if(\"closest\"===S&&gt.length>mt&&(gt.splice(0,mt),At=gt[0].distance),M&&0!==rt&&0===gt.length){dt.distance=rt,dt.index=false;var u=lt._module.hoverPoints(dt,ft,pt,\"closest\",{hoverLayer:b._hoverlayer});if(u&&(u=u.filter((function(t){return t.spikeDistance<=rt}))),u&&u.length){var h,f=u.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(f.length){var p=f[0];i(p.x0)&&i(p.y0)&&(h=Et(p),(!vt.vLinePoint||vt.vLinePoint.spikeDistance>h.spikeDistance)&&(vt.vLinePoint=h));}var m=u.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(m.length){var g=m[0];i(g.x0)&&i(g.y0)&&(h=Et(g),(!vt.hLinePoint||vt.hLinePoint.spikeDistance>h.spikeDistance)&&(vt.hLinePoint=h));}}}}}function St(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)h&&h._id!==t[o].xa._id||p&&p._id!==t[o].ya._id||(n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n));return i}function Et(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}Mt();var Ct={fullLayout:b,container:b._hoverlayer,event:e};t._spikepoints;var It={vLinePoint:vt.vLinePoint,hLinePoint:vt.hLinePoint};t._spikepoints=It;var Pt=function(){var t=gt.filter((function(t){return h&&h._id===t.xa._id&&p&&p._id===t.ya._id})),e=gt.filter((function(t){return !(h&&h._id===t.xa._id&&p&&p._id===t.ya._id)}));t.sort(P),e.sort(P),gt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];v.traceIs(s.trace,\"bar-like\")||v.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s);}return n.concat(i).concat(a)}(gt=t.concat(e),S);};Pt();var zt=S.charAt(0),Ot=(\"x\"===zt||\"y\"===zt)&&gt[0]&&I[gt[0].trace.type];if(M&&0!==rt&&0!==gt.length){var Dt=St(gt.filter((function(t){return t.ya.showspikes})),rt,Ot);vt.hLinePoint=Et(Dt);var Rt=St(gt.filter((function(t){return t.xa.showspikes})),rt,Ot);vt.vLinePoint=Et(Rt);}if(0===gt.length){var Ft=m.unhoverRaw(t,e);return !M||null===vt.hLinePoint&&null===vt.vLinePoint||j(t,vt,Ct),Ft}if(M&&U()&&j(t,vt,Ct),x.isXYhover(ht)&&0!==gt[0].length&&\"splom\"!==gt[0].trace.type){var Bt=gt[0],Nt=(gt=L[Bt.trace.type]?gt.filter((function(t){return t.trace.index===Bt.trace.index})):[Bt]).length;Mt(q(\"x\",Bt,b),q(\"y\",Bt,b));var jt,Ut=[],Vt={},qt=0,Ht=function(t){var e=L[t.trace.type]?z(t):t.trace.index;if(Vt[e]){var r=Vt[e]-1,n=Ut[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(Ut[r]=t);}else qt++,Vt[e]=qt,Ut.push(t);};for(jt=0;jt<Nt;jt++)Ht(gt[jt]);for(jt=gt.length-1;jt>Nt-1;jt--)Ht(gt[jt]);gt=Ut,Pt();}var Gt=t._hoverdata,Zt=[],Wt=H(t),Yt=G(t);for(at=0;at<gt.length;at++){var Xt=gt[at],$t=x.makeEventData(Xt,Xt.trace,Xt.cd);if(false!==Xt.hovertemplate){var Jt=false;Xt.cd[Xt.index]&&Xt.cd[Xt.index].ht&&(Jt=Xt.cd[Xt.index].ht),Xt.hovertemplate=Jt||Xt.trace.hovertemplate||false;}if(Xt.xa&&Xt.ya){var Kt=Xt.x0+Xt.xa._offset,Qt=Xt.x1+Xt.xa._offset,te=Xt.y0+Xt.ya._offset,ee=Xt.y1+Xt.ya._offset,re=Math.min(Kt,Qt),ne=Math.max(Kt,Qt),ie=Math.min(te,ee),ae=Math.max(te,ee);$t.bbox={x0:re+Yt,x1:ne+Yt,y0:ie+Wt,y1:ae+Wt};}Xt.eventData=[$t],Zt.push($t);}t._hoverdata=Zt;var oe=\"y\"===S&&(yt.length>1||gt.length>1)||\"closest\"===S&&xt&&gt.length>1,se=d.combine(b.plot_bgcolor||d.background,b.paper_bgcolor),le=D(gt,{gd:t,hovermode:S,rotateLabels:oe,bgColor:se,container:b._hoverlayer,outerContainer:b._paper.node(),commonLabelOpts:b.hoverlabel,hoverdistance:b.hoverdistance}),ce=le.hoverLabels;if(x.isUnifiedHover(S)||(function(t,e,r,n){var i,a,o,s,l,c,u,h=e?\"xa\":\"ya\",f=e?\"ya\":\"xa\",p=0,d=1,m=t.size(),g=new Array(m),y=0,v=n.minX,x=n.maxX,_=n.minY,b=n.maxY,w=function(t){return t*r._invScaleX},T=function(t){return t*r._invScaleY};function k(t){var e=t[0],r=t[t.length-1];if(a=e.pmin-e.pos-e.dp+e.size,o=r.pos+r.dp+r.size-e.pmax,a>.01){for(l=t.length-1;l>=0;l--)t[l].dp+=a;i=false;}if(!(o<.01)){if(a<-0.01){for(l=t.length-1;l>=0;l--)t[l].dp-=o;i=false;}if(i){var n=0;for(s=0;s<t.length;s++)(c=t[s]).pos+c.dp+c.size>e.pmax&&n++;for(s=t.length-1;s>=0&&!(n<=0);s--)(c=t[s]).pos>e.pmax-1&&(c.del=true,n--);for(s=0;s<t.length&&!(n<=0);s++)if((c=t[s]).pos<e.pmin+1)for(c.del=true,n--,o=2*c.size,l=t.length-1;l>=0;l--)t[l].dp-=o;for(s=t.length-1;s>=0&&!(n<=0);s--)(c=t[s]).pos+c.dp+c.size>e.pmax&&(c.del=true,n--);}}}for(t.each((function(t){var n=t[h],i=t[f],a=\"x\"===n._id.charAt(0),o=n.range;0===y&&o&&o[0]>o[1]!==a&&(d=-1);var s=0,l=a?r.width:r.height;if(\"x\"===r.hovermode||\"y\"===r.hovermode){var c,u,p=F(t,e),m=t.anchor,k=\"end\"===m?-1:1;if(\"middle\"===m)u=(c=t.crossPos+(a?T(p.y-t.by/2):w(t.bx/2+t.tx2width/2)))+(a?T(t.by):w(t.bx));else if(a)u=(c=t.crossPos+T(E+p.y)-T(t.by/2-E))+T(t.by);else {var M=w(k*E+p.x),S=M+w(k*t.bx);c=t.crossPos+Math.min(M,S),u=t.crossPos+Math.max(M,S);}a?void 0!==_&&void 0!==b&&Math.min(u,b)-Math.max(c,_)>1&&(\"left\"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==v&&void 0!==x&&Math.min(u,x)-Math.max(c,v)>1&&(\"top\"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition);}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?A:1)/2,pmin:s,pmax:l}];})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=m;){for(p++,i=true,s=0;s<g.length-1;){var M=g[s],S=g[s+1],C=M[M.length-1],L=S[0];if((a=C.pos+C.dp+C.size-L.pos-L.dp+L.size)>.01){for(l=S.length-1;l>=0;l--)S[l].dp+=a;for(M.push.apply(M,S),g.splice(s+1,1),u=0,l=M.length-1;l>=0;l--)u+=M[l].dp;for(o=u/M.length,l=M.length-1;l>=0;l--)M[l].dp-=o;i=false;}else s++;}g.forEach(k);}for(s=g.length-1;s>=0;s--){var I=g[s];for(l=I.length-1;l>=0;l--){var P=I[l],z=P.datum;z.offset=P.dp,z.del=P.del;}}}(ce,oe,b,le.commonLabelBoundingBox),B(ce,oe,b._invScaleX,b._invScaleY)),l&&l.tagName){var ue=v.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Zt);f(n.select(l),ue?\"pointer\":\"\");}l&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return  true;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return  true}return  false}(t,0,Gt)&&(Gt&&t.emit(\"plotly_unhover\",{event:e,points:Gt}),t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:$,yaxes:J,xvals:nt,yvals:it}));}(t,e,r,a,l);}));},e.loneHover=function(t,e){var r=true;Array.isArray(t)||(r=false,t=[t]);var i=e.gd,a=H(i),o=G(i),s=D(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),h=Math.max(r,n),f=Math.min(s,l),p=Math.max(s,l),m=t.trace;if(v.traceIs(m,\"gl3d\")){var g=i._fullLayout[m.scene]._scene.container,y=g.offsetLeft,x=g.offsetTop;u+=y,h+=y,f+=x,p+=x;}c.bbox={x0:u+o,x1:h+o,y0:f+a,y1:p+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox);}else c=false;return {color:t.color||d.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,fontWeight:t.fontWeight,fontStyle:t.fontStyle,fontVariant:t.fontVariant,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||false,hovertemplateLabels:t.hovertemplateLabels||false,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:false,bgColor:e.bgColor||d.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset);})).each((function(t){t.offset-=c;})),B(s,false,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var O=/<extra>([\\s\\S]*)<\\/extra>/;function D(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,u=e.bgColor,f=e.container,m=e.outerContainer,g=e.commonLabelOpts||{};if(0===t.length)return [[]];var y=e.fontFamily||_.HOVERFONT,k=e.fontSize||_.HOVERFONTSIZE,A=e.fontWeight||i.font.weight,M=e.fontStyle||i.font.style,S=e.fontVariant||i.font.variant,L=e.fontTextcase||i.font.textcase,I=e.fontLineposition||i.font.lineposition,P=e.fontShadow||i.font.shadow,O=t[0],D=O.xa,F=O.ya,B=a.charAt(0),N=B+\"Label\",j=O[N];if(void 0===j&&\"multicategory\"===D.type)for(var U=0;U<t.length&&void 0===(j=t[U][N]);U++);var V=Z(r,m),q=V.top,H=V.width,G=V.height,W=void 0!==j&&O.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(W){var Y,X,$=true;for(Y=0;Y<t.length;Y++)if($&&void 0===t[Y].zLabel&&($=false),X=t[Y].hoverinfo||t[Y].trace.hoverinfo){var J=Array.isArray(X)?X:X.split(\"+\");if(-1===J.indexOf(\"all\")&&-1===J.indexOf(a)){W=false;break}}$&&(W=false);}var K=f.selectAll(\"g.axistext\").data(W?[0]:[]);K.enter().append(\"g\").classed(\"axistext\",true),K.exit().remove();var Q={minX:0,maxX:0,minY:0,maxY:0};if(K.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"});})),s=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1);})),c=g.bgcolor||d.defaultLine,u=g.bordercolor||d.contrast(c),f=d.contrast(c),m=g.font,v={weight:m.weight||A,style:m.style||M,variant:m.variant||S,textcase:m.textcase||L,lineposition:m.lineposition||I,shadow:m.shadow||P,family:m.family||y,size:m.size||k,color:m.color||f};e.style({fill:c,stroke:u}),s.text(j).call(p.font,v).call(h.positionText,0,0).call(h.convertToTspans,r),t.attr(\"transform\",\"\");var x,_,b=Z(r,s.node());if(\"x\"===a){var w=\"top\"===D.side?\"-\":\"\";s.attr(\"text-anchor\",\"middle\").call(h.positionText,0,\"top\"===D.side?q-b.bottom-E-C:q-b.top+E+C),x=D._offset+(O.x0+O.x1)/2,_=F._offset+(\"top\"===D.side?0:F._length);var T=b.width/2+C,z=x;x<T?z=T:x>i.width-T&&(z=i.width-T),e.attr(\"d\",\"M\"+(x-z)+\",0L\"+(x-z+E)+\",\"+w+E+\"H\"+T+\"v\"+w+(2*C+b.height)+\"H\"+-T+\"V\"+w+E+\"H\"+(x-z-E)+\"Z\"),x=z,Q.minX=x-T,Q.maxX=x+T,\"top\"===D.side?(Q.minY=_-(2*C+b.height),Q.maxY=_-C):(Q.minY=_+C,Q.maxY=_+(2*C+b.height));}else {var R,B,N;\"right\"===F.side?(R=\"start\",B=1,N=\"\",x=D._offset+D._length):(R=\"end\",B=-1,N=\"-\",x=D._offset),_=F._offset+(O.y0+O.y1)/2,s.attr(\"text-anchor\",R),e.attr(\"d\",\"M0,0L\"+N+E+\",\"+E+\"V\"+(C+b.height/2)+\"h\"+N+(2*C+b.width)+\"V-\"+(C+b.height/2)+\"H\"+N+E+\"V-\"+E+\"Z\"),Q.minY=_-(C+b.height/2),Q.maxY=_+(C+b.height/2),\"right\"===F.side?(Q.minX=x+E,Q.maxX=x+E+(2*C+b.width)):(Q.minX=x-E-(2*C+b.width),Q.maxX=x-E);var 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n=s.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return r.clientX>=t.left&&r.clientX<=t.right&&r.clientY>=t.top&&r.clientY<=t.bottom}));n.size()>0&&A(t,N,n,e,r);}}));}],t);}}function k(t,e,r){var n=t[0],i=n.width,a=e.entrywidthmode,o=n.trace.legendwidth||e.entrywidth;return \"fraction\"===a?e._maxWidth*o:r+(o||i)}function A(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label);var c=s.triggerHandler(t,\"plotly_legendclick\",l);if(1===n){if(false===c)return;e._clickTimeout=setTimeout((function(){t._fullLayout&&f(r,t,n);}),t._context.doubleClickDelay);}else 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y=t[a],v=y[0],x=v.trace,_=x.legend,b=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[b]||(p[b]={}),o=0;o<y.length;o++){var w=y[o].label;p[b][w]||(g(_,b,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[b][w]=true,m=Math.max(m,(w||\"\").length));}else g(_,b,v),m=Math.max(m,(x.name||\"\").length);}if(!h.length)return [];var T=!f||!l,k=[];for(a=0;a<h.length;a++){var A=u[h[a]];T?k.push(A[0]):k.push(A);}for(T&&(k=[k]),a=0;a<k.length;a++){var M=1/0;for(o=0;o<k[a].length;o++){var S=k[a][o].trace.legendrank;M>S&&(M=S);}k[a][0]._groupMinRank=M,k[a][0]._preGroupSort=a;}var E=function(t,e){return t.trace.legendrank-e.trace.legendrank||t._preSort-e._preSort};for(k.forEach((function(t,e){t[0]._preGroupSort=e;})),k.sort((function(t,e){return t[0]._groupMinRank-e[0]._groupMinRank||t[0]._preGroupSort-e[0]._preGroupSort})),a=0;a<k.length;a++){k[a].forEach((function(t,e){t._preSort=e;})),k[a].sort(E);var C=k[a][0].trace,L=null;for(o=0;o<k[a].length;o++){var I=k[a][o].trace.legendgrouptitle;if(I&&I.text){L=I,s&&(I.font=e._groupTitleFont);break}}if(c&&k[a].reverse(),L){var P=false;for(o=0;o<k[a].length;o++)if(n.traceIs(k[a][o].trace,\"pie-like\")){P=true;break}k[a].unshift({i:-1,groupTitle:L,noClick:P,trace:{showlegend:C.showlegend,legendgroup:C.legendgroup,visible:\"toggleitem\"===e.groupclick||C.visible}});}for(o=0;o<k[a].length;o++)k[a][o]=[k[a][o]];}return e._lgroupsLength=k.length,e._maxNameLength=m,k};},22165:function(t,e,r){var n=r(33626),i=r(34809),a=i.pushUnique,o=true;t.exports=function(t,e,r){var s=e._fullLayout;if(!e._dragged&&!e._editing){var l,c=s.legend.itemclick,u=s.legend.itemdoubleclick,h=s.legend.groupclick;if(1===r&&\"toggle\"===c&&\"toggleothers\"===u&&o&&e.data&&e._context.showTips?(i.notifier(i._(e,\"Double-click on legend to isolate one trace\"),\"long\"),o=false):o=false,1===r?l=c:2===r&&(l=u),l){var f=\"togglegroup\"===h,p=s.hiddenlabels?s.hiddenlabels.slice():[],d=t.data()[0][0];if(!d.groupTitle||!d.noClick){var m=e._fullData,g=(s.shapes||[]).filter((function(t){return t.showlegend})),y=m.concat(g),v=d.trace;v._isShape&&(v=v._fullInput);var x,_,b,w,T,k=v.legendgroup,A={},M=[],S=[],E=[],C=(s.shapes||[]).map((function(t){return t._input})),L=false,I=v.legend,P=v._fullInput;if(P&&P._isShape||!n.traceIs(v,\"pie-like\")){var z,O=k&&k.length,D=[];if(O)for(x=0;x<y.length;x++)(z=y[x]).visible&&z.legendgroup===k&&D.push(x);if(\"toggle\"===l){var R;switch(v.visible){case  true:R=\"legendonly\";break;case  false:R=false;break;case \"legendonly\":R=true;}if(O)if(f)for(x=0;x<y.length;x++){var F=y[x];false!==F.visible&&F.legendgroup===k&&tt(F,R);}else tt(v,R);else tt(v,R);}else if(\"toggleothers\"===l){var 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u,h=n.select(this),f=c(i),p=f.colorscale,m=f.reversescale;if(p){if(!r){var g=p.length;u=0===o?p[m?g-1:0][1]:1===o?p[m?0:g-1][1]:p[Math.floor((g-1)/2)][1];}}else {var y=i.vertexcolor||i.facecolor||i.color;u=a.isArrayOrTypedArray(y)?y[o]||y[0]:y;}h.attr(\"d\",t[0]),u?h.call(l.fill,u):h.call((function(t){if(t.size()){var n=\"legendfill-\"+i.uid;s.gradient(t,e,n,d(m,\"radial\"===r),p,\"fill\");}}));}));})).each((function(t){var e=t[0].trace,r=\"waterfall\"===e.type;if(t[0]._distinct&&r){var i=t[0].trace[t[0].dir].marker;return t[0].mc=i.color,t[0].mlw=i.line.width,t[0].mlc=i.line.color,T(t,this,\"waterfall\")}var a=[];e.visible&&r&&(a=t[0].hasTotals?[[\"increasing\",\"M-6,-6V6H0Z\"],[\"totals\",\"M6,6H0L-6,-6H-0Z\"],[\"decreasing\",\"M6,6V-6H0Z\"]]:[[\"increasing\",\"M-6,-6V6H6Z\"],[\"decreasing\",\"M6,6V-6H-6Z\"]]);var o=n.select(this).select(\"g.legendpoints\").selectAll(\"path.legendwaterfall\").data(a);o.enter().append(\"path\").classed(\"legendwaterfall\",true).attr(\"transform\",b).style(\"stroke-miterlimit\",1),o.exit().remove(),o.each((function(t){var r=n.select(this),i=e[t[0]].marker,a=w(void 0,i.line,5,2);r.attr(\"d\",t[1]).style(\"stroke-width\",a+\"px\").call(l.fill,i.color),a&&r.call(l.stroke,i.line.color);}));})).each((function(t){T(t,this,\"funnel\");})).each((function(t){T(t,this);})).each((function(t){var r=t[0].trace,o=n.select(this).select(\"g.legendpoints\").selectAll(\"path.legendbox\").data(r.visible&&i.traceIs(r,\"box-violin\")?[t]:[]);o.enter().append(\"path\").classed(\"legendbox\",true).attr(\"d\",\"M6,6H-6V-6H6Z\").attr(\"transform\",b),o.exit().remove(),o.each((function(){var t=n.select(this);if(\"all\"!==r.boxpoints&&\"all\"!==r.points||0!==l.opacity(r.fillcolor)||0!==l.opacity((r.line||{}).color)){var i=w(void 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true}(r)||E)&&(z=[]),!m&&!_||S||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==O[0]&&(O=[\"resetScale2d\"])),g?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(m||_)&&!S||b?D=[\"zoom2d\",\"pan2d\"]:w||T||y?D=[\"pan2d\"]:k&&(D=[\"zoom2d\"]),function(t){for(var e=false,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=true):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=true));}return e}(r)&&D.push(\"select2d\",\"lasso2d\");var R=[],F=function(t){ -1===R.indexOf(t)&&-1!==z.indexOf(t)&&R.push(t);};if(Array.isArray(p)){for(var B=[],N=0;N<p.length;N++){var j=p[N];\"string\"==typeof j?(j=j.toLowerCase(),-1!==c.indexOf(j)?(e._has(\"mapbox\")||e._has(\"map\")||e._has(\"cartesian\"))&&D.push(j):\"togglespikelines\"===j?F(\"toggleSpikelines\"):\"togglehover\"===j?F(\"toggleHover\"):\"hovercompare\"===j?F(\"hoverCompareCartesian\"):\"hoverclosest\"===j?(F(\"hoverClosestCartesian\"),F(\"hoverClosestGeo\"),F(\"hoverClosest3d\"),F(\"hoverClosestGl2d\"),F(\"hoverClosestPie\")):\"v1hovermode\"===j&&(F(\"hoverClosestCartesian\"),F(\"hoverCompareCartesian\"),F(\"hoverClosestGeo\"),F(\"hoverClosest3d\"),F(\"hoverClosestGl2d\"),F(\"hoverClosestPie\"))):B.push(j);}p=B;}return L(D),L(P.concat(O)),L(R),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(C,p)}(t),h?h.update(t,f):e._modeBar=s(t,f);}else h&&(h.destroy(),delete e._modeBar);};},85393:function(t,e,r){var n=r(45568),i=r(10721),a=r(34809),o=r(35188),s=r(29697).version,l=new DOMParser;function 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\"+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var h=this.getLogo();r.watermark&&(h.className=h.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(h,this.element.childNodes[0]):this.element.appendChild(h),this.hasLogo=true;}this.updateActiveButton();},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i);})),e.element.appendChild(r);}));},u.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},u.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget);})),r.setAttribute(\"data-toggle\",t.toggle||false),t.toggle&&n.select(r).classed(\"active\",true);var s=t.icon;return \"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},u.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a);}return t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||true,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else {var c=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",c===i);}}));},u.hasButtons=function(t){var e=this.buttons;if(!e)return  false;if(t.length!==e.length)return  false;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return  false;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return  false}return  true},u.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced with Plotly.js\")+\" (v\"+s+\")\"),e.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},u.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=false;},u.destroy=function(){a.removeElement(this.container.querySelector(\".modebar\")),a.deleteRelatedStyleRule(this._uid);},t.exports=function(t,e){var r=t._fullLayout,i=new c({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&&n.select(i.element).append(\"span\").classed(\"badge-private float--left\",true).text(\"PRIVATE\"),i};},91032:function(t,e,r){var n=r(80337),i=r(10229),a=(0, r(78032).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:true,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"};},68508:function(t){t.exports={yPad:.02,minButtonWidth:30,rx:3,ry:3,lightAmount:25,darkAmount:10};},86255:function(t,e,r){var n=r(34809),i=r(78766),a=r(78032),o=r(59008),s=r(91032),l=r(68508);function c(t,e,r,i){var a=i.calendar;function o(r,i){return n.coerce(t,e,s.buttons,r,i)}if(o(\"visible\")){var l=o(\"step\");\"all\"!==l&&(!a||\"gregorian\"===a||\"month\"!==l&&\"year\"!==l?o(\"stepmode\"):e.stepmode=\"backward\",o(\"count\")),o(\"label\");}}t.exports=function(t,e,r,u,h){var f=t.rangeselector||{},p=a.newContainer(e,\"rangeselector\");function d(t,e){return n.coerce(f,p,s,t,e)}if(d(\"visible\",o(f,p,{name:\"buttons\",handleItemDefaults:c,calendar:h}).length>0)){var m=function(t,e,r){for(var n=r.filter((function(r){return e[r].anchor===t._id})),i=0,a=0;a<n.length;a++){var o=e[n[a]].domain;o&&(i=Math.max(o[1],i));}return [t.domain[0],i+l.yPad]}(e,r,u);d(\"x\",m[0]),d(\"y\",m[1]),n.noneOrAll(t,e,[\"x\",\"y\"]),d(\"xanchor\"),d(\"yanchor\"),n.coerceFont(d,\"font\",r.font);var g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\");}};},45431:function(t,e,r){var n=r(45568),i=r(33626),a=r(44122),o=r(78766),s=r(62203),l=r(34809),c=l.strTranslate,u=r(30635),h=r(5975),f=r(4530),p=f.LINE_SPACING,d=f.FROM_TL,m=f.FROM_BR,g=r(68508),y=r(16383);function v(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,\"rect\",\"selector-rect\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\");}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(\"stroke-width\",e.borderwidth+\"px\");}function _(t,e,r,n){var i,a;l.ensureSingle(t,\"text\",\"selector-text\",(function(t){t.attr(\"text-anchor\",\"middle\");})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:\"all\"===i.step?\"all\":i.count+i.step.charAt(0))).call((function(t){u.convertToTspans(t,n);}));}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(\".rangeselector\").data(function(t){for(var e=h.list(t,\"x\",true),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i);}return r}(t),v);e.enter().append(\"g\").classed(\"rangeselector\",true),e.exit().remove(),e.style({cursor:\"pointer\",\"pointer-events\":\"all\"}),e.each((function(e){var r=n.select(this),o=e,h=o.rangeselector,f=r.selectAll(\"g.button\").data(l.filterVisible(h.buttons));f.enter().append(\"g\").classed(\"button\",true),f.exit().remove(),f.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if(\"all\"===e.step)return  true===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,h,e),r.call(_,h,e,t),r.on(\"click\",(function(){t._dragged||i.call(\"_guiRelayout\",t,a);})),r.on(\"mouseover\",(function(){e._isHovered=true,r.call(x,h,e);})),r.on(\"mouseout\",(function(){e._isHovered=false,r.call(x,h,e);}));})),function(t,e,r,i,o){var h=0,f=0,y=r.borderwidth;e.each((function(){var t=n.select(this).select(\".selector-text\"),e=r.font.size*p,i=Math.max(e*u.lineCount(t),16)+3;f=Math.max(f,i);})),e.each((function(){var t=n.select(this),e=t.select(\".selector-rect\"),i=t.select(\".selector-text\"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=u.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr(\"transform\",c(y+h,y)),e.attr({x:0,y:0,width:d,height:f}),u.positionText(i,d/2,f/2-(l-1)*o/2+3),h+=d+5;}));var v=t._fullLayout._size,x=v.l+v.w*r.x,_=v.t+v.h*(1-r.y),b=\"left\";l.isRightAnchor(r)&&(x-=h,b=\"right\"),l.isCenterAnchor(r)&&(x-=h/2,b=\"center\");var w=\"top\";l.isBottomAnchor(r)&&(_-=f,w=\"bottom\"),l.isMiddleAnchor(r)&&(_-=f/2,w=\"middle\"),h=Math.ceil(h),f=Math.ceil(f),x=Math.round(x),_=Math.round(_),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:h*d[b],r:h*m[b],b:f*m[w],t:f*d[w]}),o.attr(\"transform\",c(x,_));}(t,f,h,o._name,r);}));};},16383:function(t,e,r){var n=r(50936),i=r(34809).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=true;else {var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],c=e.count;switch(e.stepmode){case \"backward\":r=t.l2r(+l.offset(o,-c));break;case \"todate\":var u=l.offset(o,-c);r=t.l2r(+l.ceil(u));}return [r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1];}return a};},44453:function(t,e,r){t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(91032)}}},layoutAttributes:r(91032),handleDefaults:r(86255),draw:r(45431)};},63608:function(t,e,r){var n=r(10229);t.exports={bgcolor:{valType:\"color\",dflt:n.background,editType:\"plot\"},bordercolor:{valType:\"color\",dflt:n.defaultLine,editType:\"plot\"},borderwidth:{valType:\"integer\",dflt:0,min:0,editType:\"plot\"},autorange:{valType:\"boolean\",dflt:true,editType:\"calc\",impliedEdits:{\"range[0]\":void 0,\"range[1]\":void 0}},range:{valType:\"info_array\",items:[{valType:\"any\",editType:\"calc\",impliedEdits:{\"^autorange\":false}},{valType:\"any\",editType:\"calc\",impliedEdits:{\"^autorange\":false}}],editType:\"calc\",impliedEdits:{autorange:false}},thickness:{valType:\"number\",dflt:.15,min:0,max:1,editType:\"plot\"},visible:{valType:\"boolean\",dflt:true,editType:\"calc\"},editType:\"calc\"};},46223:function(t,e,r){var n=r(5975).list,i=r(32919).getAutoRange,a=r(20604);t.exports=function(t){for(var e=n(t,\"x\",true),r=0;r<e.length;r++){var 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n=r(34809),i=r(78032),a=r(5975),o=r(63608),s=r(66249);t.exports=function(t,e,r){var l=t[r],c=e[r];if(l.rangeslider||e._requestRangeslider[c._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var u,h,f=l.rangeslider,p=i.newContainer(c,\"rangeslider\");if(b(\"visible\")){b(\"bgcolor\",e.plot_bgcolor),b(\"bordercolor\"),b(\"borderwidth\"),b(\"thickness\"),b(\"autorange\",!c.isValidRange(f.range)),b(\"range\");var d=e._subplots;if(d)for(var m=d.cartesian.filter((function(t){return t.substr(0,t.indexOf(\"y\"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf(\"y\"),t.length)})),g=n.simpleMap(m,a.id2name),y=0;y<g.length;y++){var v=g[y];u=f[v]||{},h=i.newContainer(p,v,\"yaxis\");var x,_=e[v];u.range&&_.isValidRange(u.range)&&(x=\"fixed\"),\"match\"!==w(\"rangemode\",x)&&w(\"range\",_.range.slice());}p._input=f;}}function b(t,e){return n.coerce(f,p,o,t,e)}function w(t,e){return n.coerce(u,h,s,t,e)}};},88887:function(t,e,r){var n=r(45568),i=r(33626),a=r(44122),o=r(34809),s=o.strTranslate,l=r(62203),c=r(78766),u=r(17240),h=r(37703),f=r(5975),p=r(14751),d=r(27983),m=r(20604);function g(t){return \"number\"==typeof t.clientX?t.clientX:t.touches&&t.touches.length>0?t.touches[0].clientX:0}function y(t,e,r,n){var i=o.ensureSingle(t,\"rect\",m.bgClassName,(function(t){t.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"});})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,u=-n._offsetShift,h=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(u,u),\"stroke-width\":h}).call(c.stroke,n.bordercolor).call(c.fill,n.bgcolor);}function v(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,\"clipPath\",n._clipId,(function(t){t.append(\"rect\").attr({x:0,y:0});})).select(\"rect\").attr({width:n._width,height:n._height});}function x(t,e,r,i){var s,c=e.calcdata,u=t.selectAll(\"g.\"+m.rangePlotClassName).data(r._subplotsWith,o.identity);u.enter().append(\"g\").attr(\"class\",(function(t){return m.rangePlotClassName+\" \"+t})).call(l.setClipUrl,i._clipId,e),u.order(),u.exit().remove(),u.each((function(t,o){var l=n.select(this),u=0===o,p=f.getFromId(e,t,\"y\"),d=p._name,m=i[d],g={data:[],layout:{xaxis:{type:r.type,domain:[0,1],range:i.range.slice(),calendar:r.calendar},width:i._width,height:i._height,margin:{t:0,b:0,l:0,r:0}},_context:e._context};r.rangebreaks&&(g.layout.xaxis.rangebreaks=r.rangebreaks),g.layout[d]={type:p.type,domain:[0,1],range:\"match\"!==m.rangemode?m.range.slice():p.range.slice(),calendar:p.calendar},p.rangebreaks&&(g.layout[d].rangebreaks=p.rangebreaks),a.supplyDefaults(g);var y=g._fullLayout.xaxis,v=g._fullLayout[d];y.clearCalc(),y.setScale(),v.clearCalc(),v.setScale();var x={id:t,plotgroup:l,xaxis:y,yaxis:v,isRangePlot:true};u?s=x:(x.mainplot=\"xy\",x.mainplotinfo=s),h.rangePlot(e,x,function(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n],a=i[0].trace;a.xaxis+a.yaxis===e&&r.push(i);}return r}(c,t));}));}function _(t,e,r,n,i){o.ensureSingle(t,\"rect\",m.maskMinClassName,(function(t){t.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"});})).attr(\"height\",n._height).call(c.fill,m.maskColor),o.ensureSingle(t,\"rect\",m.maskMaxClassName,(function(t){t.attr({y:0,\"shape-rendering\":\"crispEdges\"});})).attr(\"height\",n._height).call(c.fill,m.maskColor),\"match\"!==i.rangemode&&(o.ensureSingle(t,\"rect\",m.maskMinOppAxisClassName,(function(t){t.attr({y:0,\"shape-rendering\":\"crispEdges\"});})).attr(\"width\",n._width).call(c.fill,m.maskOppAxisColor),o.ensureSingle(t,\"rect\",m.maskMaxOppAxisClassName,(function(t){t.attr({y:0,\"shape-rendering\":\"crispEdges\"});})).attr(\"width\",n._width).style(\"border-top\",m.maskOppBorder).call(c.fill,m.maskOppAxisColor));}function b(t,e,r,n){e._context.staticPlot||o.ensureSingle(t,\"rect\",m.slideBoxClassName,(function(t){t.attr({y:0,cursor:m.slideBoxCursor,\"shape-rendering\":\"crispEdges\"});})).attr({height:n._height,fill:m.slideBoxFill});}function w(t,e,r,n){var i=o.ensureSingle(t,\"g\",m.grabberMinClassName),a=o.ensureSingle(t,\"g\",m.grabberMaxClassName),s={x:0,width:m.handleWidth,rx:m.handleRadius,fill:c.background,stroke:c.defaultLine,\"stroke-width\":m.handleStrokeWidth,\"shape-rendering\":\"crispEdges\"},l={y:Math.round(n._height/4),height:Math.round(n._height/2)};o.ensureSingle(i,\"rect\",m.handleMinClassName,(function(t){t.attr(s);})).attr(l),o.ensureSingle(a,\"rect\",m.handleMaxClassName,(function(t){t.attr(s);})).attr(l);var u={width:m.grabAreaWidth,x:0,y:0,fill:m.grabAreaFill,cursor:e._context.staticPlot?void 0:m.grabAreaCursor};o.ensureSingle(i,\"rect\",m.grabAreaMinClassName,(function(t){t.attr(u);})).attr(\"height\",n._height),o.ensureSingle(a,\"rect\",m.grabAreaMaxClassName,(function(t){t.attr(u);})).attr(\"height\",n._height);}t.exports=function(t){for(var e=t._fullLayout,r=e._rangeSliderData,a=0;a<r.length;a++){var l=r[a][m.name];l._clipId=l._id+\"-\"+e._uid;}var c=e._infolayer.selectAll(\"g.\"+m.containerClassName).data(r,(function(t){return t._name}));c.exit().each((function(t){var r=t[m.name];e._topdefs.select(\"#\"+r._clipId).remove();})).remove(),0!==r.length&&(c.enter().append(\"g\").classed(m.containerClassName,true).attr(\"pointer-events\",\"all\"),c.each((function(r){var a=n.select(this),l=r[m.name],c=e[f.id2name(r.anchor)],h=l[f.id2name(r.anchor)];if(l.range){var T,k=o.simpleMap(l.range,r.r2l),A=o.simpleMap(r.range,r.r2l);T=A[0]<A[1]?[Math.min(k[0],A[0]),Math.max(k[1],A[1])]:[Math.max(k[0],A[0]),Math.min(k[1],A[1])],l.range=l._input.range=o.simpleMap(T,r.l2r);}r.cleanRange(\"rangeslider.range\");var M=e._size,S=r.domain;l._width=M.w*(S[1]-S[0]);var E=Math.round(M.l+M.w*S[0]),C=Math.round(M.t+M.h*(1-r._counterDomainMin)+(\"bottom\"===r.side?r._depth:0)+l._offsetShift+m.extraPad);a.attr(\"transform\",s(E,C)),l._rl=o.simpleMap(l.range,r.r2l);var L=l._rl[0],I=l._rl[1],P=I-L;if(l.p2d=function(t){return t/l._width*P+L},l.d2p=function(t){return (t-L)/P*l._width},r.rangebreaks){var z=r.locateBreaks(L,I);if(z.length){var O,D,R=0;for(O=0;O<z.length;O++)R+=(D=z[O]).max-D.min;var F=l._width/(I-L-R),B=[-F*L];for(O=0;O<z.length;O++)D=z[O],B.push(B[B.length-1]-F*(D.max-D.min));for(l.d2p=function(t){for(var e=B[0],r=0;r<z.length;r++){var n=z[r];if(t>=n.max)e=B[r+1];else if(t<n.min)break}return e+F*t},O=0;O<z.length;O++)(D=z[O]).pmin=l.d2p(D.min),D.pmax=l.d2p(D.max);l.p2d=function(t){for(var e=B[0],r=0;r<z.length;r++){var n=z[r];if(t>=n.pmax)e=B[r+1];else if(t<n.pmin)break}return (t-e)/F};}}if(\"match\"!==h.rangemode){var N=c.r2l(h.range[0]),j=c.r2l(h.range[1])-N;l.d2pOppAxis=function(t){return (t-N)/j*l._height};}a.call(y,t,r,l).call(v,t,r,l).call(x,t,r,l).call(_,t,r,l,h).call(b,t,r,l).call(w,t,r,l),function(t,e,r,a){if(!e._context.staticPlot){var s=t.select(\"rect.\"+m.slideBoxClassName).node(),l=t.select(\"rect.\"+m.grabAreaMinClassName).node(),c=t.select(\"rect.\"+m.grabAreaMaxClassName).node();t.on(\"mousedown\",u),t.on(\"touchstart\",u);}function u(){var u=n.event,h=u.target,f=g(u),m=f-t.node().getBoundingClientRect().left,y=a.d2p(r._rl[0]),v=a.d2p(r._rl[1]),x=p.coverSlip();function _(t){var u,p,_,b=+g(t)-f;switch(h){case s:if(_=\"ew-resize\",y+b>r._length||v+b<0)return;u=y+b,p=v+b;break;case l:if(_=\"col-resize\",y+b>r._length)return;u=y+b,p=v;break;case c:if(_=\"col-resize\",v+b<0)return;u=y,p=v+b;break;default:_=\"ew-resize\",u=m,p=m+b;}if(p<u){var w=p;p=u,u=w;}a._pixelMin=u,a._pixelMax=p,d(n.select(x),_),function(t,e,r,n){function a(t){return r.l2r(o.constrain(t,n._rl[0],n._rl[1]))}var s=a(n.p2d(n._pixelMin)),l=a(n.p2d(n._pixelMax));window.requestAnimationFrame((function(){i.call(\"_guiRelayout\",e,r._name+\".range\",[s,l]);}));}(0,e,r,a);}function b(){x.removeEventListener(\"mousemove\",_),x.removeEventListener(\"mouseup\",b),this.removeEventListener(\"touchmove\",_),this.removeEventListener(\"touchend\",b),o.removeElement(x);}this.addEventListener(\"touchmove\",_),this.addEventListener(\"touchend\",b),x.addEventListener(\"mousemove\",_),x.addEventListener(\"mouseup\",b);}}(a,t,r,l),function(t,e,r,n,i,a){var l=m.handleWidth/2;function c(t){return o.constrain(t,0,n._width)}function u(t){return o.constrain(t,0,n._height)}function h(t){return o.constrain(t,-l,n._width+l)}var f=c(n.d2p(r._rl[0])),p=c(n.d2p(r._rl[1]));if(t.select(\"rect.\"+m.slideBoxClassName).attr(\"x\",f).attr(\"width\",p-f),t.select(\"rect.\"+m.maskMinClassName).attr(\"width\",f),t.select(\"rect.\"+m.maskMaxClassName).attr(\"x\",p).attr(\"width\",n._width-p),\"match\"!==a.rangemode){var d=n._height-u(n.d2pOppAxis(i._rl[1])),g=n._height-u(n.d2pOppAxis(i._rl[0]));t.select(\"rect.\"+m.maskMinOppAxisClassName).attr(\"x\",f).attr(\"height\",d).attr(\"width\",p-f),t.select(\"rect.\"+m.maskMaxOppAxisClassName).attr(\"x\",f).attr(\"y\",g).attr(\"height\",n._height-g).attr(\"width\",p-f),t.select(\"rect.\"+m.slideBoxClassName).attr(\"y\",d).attr(\"height\",g-d);}var y=.5,v=Math.round(h(f-l))-y,x=Math.round(h(p-l))+y;t.select(\"g.\"+m.grabberMinClassName).attr(\"transform\",s(v,y)),t.select(\"g.\"+m.grabberMaxClassName).attr(\"transform\",s(x,y));}(a,0,r,l,c,h),\"bottom\"===r.side&&u.draw(t,r._id+\"title\",{propContainer:r,propName:r._name+\".title\",placeholder:e._dfltTitle.x,attributes:{x:r._offset+r._length/2,y:C+l._height+l._offsetShift+10+1.5*r.title.font.size,\"text-anchor\":\"middle\"}});})));};},80400:function(t,e,r){var n=r(5975),i=r(30635),a=r(20604),o=r(4530).LINE_SPACING,s=a.name;function l(t){var e=t&&t[s];return e&&e.visible}e.isVisible=l,e.makeData=function(t){var e=n.list({_fullLayout:t},\"x\",true),r=t.margin,i=[];if(!t._has(\"gl2d\"))for(var a=0;a<e.length;a++){var o=e[a];if(l(o)){i.push(o);var c=o[s];c._id=s+o._id,c._height=(t.height-r.b-r.t)*c.thickness,c._offsetShift=Math.floor(c.borderwidth/2);}}t._rangeSliderData=i;},e.autoMarginOpts=function(t,e){var r=t._fullLayout,n=e[s],l=e._id.charAt(0),c=0,u=0;return \"bottom\"===e.side&&(c=e._depth,e.title.text!==r._dfltTitle[l]&&(u=1.5*e.title.font.size+10+n._offsetShift,u+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o)),{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+c+Math.max(r.margin.b,u),pad:a.extraPad+2*n._offsetShift}};},55429:function(t,e,r){var n=r(34809),i=r(63608),a=r(66249),o=r(80400);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(63608),handleDefaults:r(41295),calcAutorange:r(46223),draw:r(88887),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts};},66249:function(t){t.exports={_isSubplotObj:true,rangemode:{valType:\"enumerated\",values:[\"auto\",\"fixed\",\"match\"],dflt:\"match\",editType:\"calc\"},range:{valType:\"info_array\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},editType:\"calc\"};},4327:function(t,e,r){var n=r(50222),i=r(36640).line,a=r(94850).T,o=r(93049).extendFlat,s=r(13582).overrideAll,l=r(78032).templatedArray;r(35081),t.exports=s(l(\"selection\",{type:{valType:\"enumerated\",values:[\"rect\",\"path\"]},xref:o({},n.xref,{}),yref:o({},n.yref,{}),x0:{valType:\"any\"},x1:{valType:\"any\"},y0:{valType:\"any\"},y1:{valType:\"any\"},path:{valType:\"string\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:.7,editType:\"arraydraw\"},line:{color:i.color,width:o({},i.width,{min:1,dflt:1}),dash:o({},a,{dflt:\"dot\"})}}),\"arraydraw\",\"from-root\");},78865:function(t){t.exports={BENDPX:1.5,MINSELECT:12,SELECTDELAY:100,SELECTID:\"-select\"};},2272:function(t,e,r){var n=r(34809),i=r(29714),a=r(59008),o=r(4327),s=r(49728);function l(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var l=a(\"path\"),c=\"path\"!==a(\"type\",l?\"path\":\"rect\");c&&delete e.path,a(\"opacity\"),a(\"line.color\"),a(\"line.width\"),a(\"line.dash\");for(var u=[\"x\",\"y\"],h=0;h<2;h++){var f,p,d,m=u[h],g={_fullLayout:r},y=i.coerceRef(t,e,g,m);if((f=i.getFromId(g,y))._selectionIndices.push(e._index),d=s.rangeToShapePosition(f),p=s.shapePositionToRange(f),c){var v=m+\"0\",x=m+\"1\",_=t[v],b=t[x];t[v]=p(t[v],true),t[x]=p(t[x],true),i.coercePosition(e,g,a,y,v),i.coercePosition(e,g,a,y,x);var w=e[v],T=e[x];void 0!==w&&void 0!==T&&(e[v]=d(w),e[x]=d(T),t[v]=_,t[x]=b);}}c&&n.noneOrAll(t,e,[\"x0\",\"x1\",\"y0\",\"y1\"]);}t.exports=function(t,e){a(t,e,{name:\"selections\",handleItemDefaults:l});for(var r=e.selections,n=0;n<r.length;n++){var i=r[n];i&&void 0===i.path&&(void 0!==i.x0&&void 0!==i.x1&&void 0!==i.y0&&void 0!==i.y1||(e.selections[n]=null));}};},7028:function(t,e,r){var n=r(81055).readPaths,i=r(561),a=r(78534).clearOutlineControllers,o=r(78766),s=r(62203),l=r(78032).arrayEditor,c=r(49728),u=c.getPathString;function h(t){var e=t._fullLayout;for(var r in a(t),e._selectionLayer.selectAll(\"path\").remove(),e._plots){var n=e._plots[r].selectionLayer;n&&n.selectAll(\"path\").remove();}for(var i=0;i<e.selections.length;i++)p(t,i);}function f(t){return t._context.editSelection}function p(t,e){t._fullLayout._paperdiv.selectAll('.selectionlayer [data-index=\"'+e+'\"]').remove();var r=c.makeSelectionsOptionsAndPlotinfo(t,e),a=r.options,p=r.plotinfo;a._input&&function(r){var c=u(t,a),g={\"data-index\":e,\"fill-rule\":\"evenodd\",d:c},y=a.opacity,v=\"rgba(0,0,0,0)\",x=a.line.color||o.contrast(t._fullLayout.plot_bgcolor),_=a.line.width,b=a.line.dash;_||(_=5,b=\"solid\");var w=f(t)&&t._fullLayout._activeSelectionIndex===e;w&&(v=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,v).call(s.dashLine,k?\"solid\":b,k?4+_:_);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:true},E=n(c,t);i(E,A,S);}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A;}var C=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(f(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void m(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=m,h(t);}}}(t,C)}));}(t._fullLayout._selectionLayer);}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e);}function m(t){f(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,h(t));}t.exports={draw:h,drawOne:p,activateLastSelection:function(t){if(f(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=m,h(t);}}};},52307:function(t,e,r){var n=r(94850).T,i=r(93049).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}};},43028:function(t){t.exports=function(t,e,r){r(\"newselection.mode\"),r(\"newselection.line.width\")&&(r(\"newselection.line.color\"),r(\"newselection.line.dash\")),r(\"activeselection.fillcolor\"),r(\"activeselection.opacity\");};},51817:function(t,e,r){var n=r(70414).selectMode,i=r(78534).clearOutline,a=r(81055),o=a.readPaths,s=a.writePaths,l=a.fixDatesForPaths;t.exports=function(t,e){if(t.length){var r=t[0][0];if(r){var a=r.getAttribute(\"d\"),c=e.gd,u=c._fullLayout.newselection,h=e.plotinfo,f=h.xaxis,p=h.yaxis,d=e.isActiveSelection,m=e.dragmode,g=(c.layout||{}).selections||[];if(!n(m)&&void 0!==d){var y=c._fullLayout._activeSelectionIndex;if(y<g.length)switch(c._fullLayout.selections[y].type){case \"rect\":m=\"select\";break;case \"path\":m=\"lasso\";}}var v,x=o(a,c,h,d),_={xref:f._id,yref:p._id,opacity:u.opacity,line:{color:u.line.color,width:u.line.width,dash:u.line.dash}};1===x.length&&(v=x[0]),v&&5===v.length&&\"select\"===m?(_.type=\"rect\",_.x0=v[0][1],_.y0=v[0][2],_.x1=v[2][1],_.y1=v[2][2]):(_.type=\"path\",f&&p&&l(x,f,p),_.path=s(x),v=null),i(c);for(var b=e.editHelpers,w=(b||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=c._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===c._fullLayout._activeSelectionIndex){var M=_;switch(A.type){case \"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case \"path\":w(\"path\",M.path);}}}else T[k]=A;}return void 0===d?(T.push(_),T):b?b.getUpdateObj():{}}}};},49801:function(t,e,r){var n=r(34809).strTranslate;function i(t,e){switch(t.type){case \"log\":return t.p2d(e);case \"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case \"log\":return t.d2p(e);case \"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}};},44844:function(t,e,r){var n=r(7028),i=r(88666);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(4327),supplyLayoutDefaults:r(2272),supplyDrawNewSelectionDefaults:r(43028),includeBasePlot:r(20706)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick};},88666:function(t,e,r){var n=r(11516),i=r(52773),a=r(33626),o=r(62203).dashStyle,s=r(78766),l=r(32141),c=r(36040).makeEventData,u=r(70414),h=u.freeMode,f=u.rectMode,p=u.drawMode,d=u.openMode,m=u.selectMode,g=r(49728),y=r(2956),v=r(561),x=r(78534).clearOutline,_=r(81055),b=_.handleEllipse,w=_.readPaths,T=r(87562).newShapes,k=r(51817),A=r(7028).activateLastSelection,M=r(34809),S=M.sorterAsc,E=r(80899),C=r(64025),L=r(5975).getFromId,I=r(34823),P=r(71817).redrawReglTraces,z=r(78865),O=z.MINSELECT,D=E.filter,R=E.tester,F=r(49801),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,c,u,h,f,p,m,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,_=[];if(function(t){return t&&Array.isArray(t)&&true!==t[0].hoverOnBox}(y)){Z(t,e,a);var b=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(true===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 0!==i.binNumber&&(a=i.binNumber,o=i.pointNumbers);break}return {pointNumber:a,pointNumbers:o,searchInfo:r}}(y,s=X(e,r,n,i));if(b.pointNumbers.length>0?function(t,e){var r,n,i,a=[];for(i=0;i<t.length;i++)(r=t[i]).cd[0].trace.selectedpoints&&r.cd[0].trace.selectedpoints.length>0&&a.push(r);if(1===a.length&&a[0]===e.searchInfo&&(n=e.searchInfo.cd[0].trace).selectedpoints.length===e.pointNumbers.length){for(i=0;i<e.pointNumbers.length;i++)if(n.selectedpoints.indexOf(e.pointNumbers[i])<0)return  false;return  true}return  false}(s,b):function(t){var e,r,n=0;for(r=0;r<t.length;r++)if((e=t[r].cd[0].trace).selectedpoints){if(e.selectedpoints.length>1)return  false;if((n+=e.selectedpoints.length)>1)return  false}return 1===n}(s)&&(f=J(b))){for(o&&o.remove(),g=0;g<s.length;g++)(l=s[g])._module.selectPoints(l,false);K(e,s),W(a),x&&ft(e);}else {for(p=t.shiftKey&&(void 0!==f?f:J(b)),c=function(t,e,r){return {pointNumber:t,searchInfo:e,subtract:!!r}}(b.pointNumber,b.searchInfo,p),u=G(a.selectionDefs.concat([c])),g=0;g<s.length;g++)if(h=tt(s[g]._module.selectPoints(s[g],u),s[g]),_.length)for(var w=0;w<h.length;w++)_.push(h[w]);else _=h;if(K(e,s,m={points:_}),c&&a&&a.selectionDefs.push(c),o){var T=a.mergedPolygons,k=d(a.dragmode);v(et(T,k),o,a);}x&&ht(e,m);}}}function q(t){return \"pointNumber\"in t&&\"searchInfo\"in t}function H(t){return {xmin:0,xmax:0,ymin:0,ymax:0,pts:[],contains:function(e,r,n,i){var a=t.searchInfo.cd[0].trace._expandedIndex;return i.cd[0].trace._expandedIndex===a&&n===t.pointNumber},isRect:false,degenerate:false,subtract:!!t.subtract}}function G(t){if(t.length){for(var e=[],r=q(t[0])?0:t[0][0][0],n=r,i=q(t[0])?0:t[0][0][1],a=i,o=0;o<t.length;o++)if(q(t[o]))e.push(H(t[o]));else {var s=R(t[o]);s.subtract=!!t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax);}return {xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=false,o=0;o<e.length;o++)e[o].contains(t,r,n,i)&&(a=!e[o].subtract);return a},isRect:false,degenerate:false}}}function Z(t,e,r){var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(p(a)&&d(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||W(r),o||(x(e),n._lastSelectedSubplot=i.id);}function W(t,e){var r=t.dragmode,n=t.plotinfo,i=t.gd;((function(t){return t._fullLayout._activeShapeIndex>=0}))(i)&&i._fullLayout._deactivateShape(i),function(t){return t._fullLayout._activeSelectionIndex>=0}(i)&&i._fullLayout._deactivateSelection(i);var o=i._fullLayout._zoomlayer,s=p(r),l=m(r);if(s||l){var c,u,h=o.selectAll(\".select-outline-\"+n.id);h&&i._fullLayout._outlining&&(s&&(c=T(h,t)),c&&a.call(\"_guiRelayout\",i,{shapes:c}),l&&!U(t)&&(u=k(h,t)),u&&(i._fullLayout._noEmitSelectedAtStart=true,a.call(\"_guiRelayout\",i,{selections:u}).then((function(){e&&A(i);}))),i._fullLayout._outlining=false);}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[];}function Y(t){return t._id}function X(t,e,r,n){if(!t.calcdata)return [];var i,a,o,s=[],l=e.map(Y),c=r.map(Y);for(o=0;o<t.calcdata.length;o++)if(true===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type){if(a._xaxes[l[0]]&&a._yaxes[c[0]]){var u=$(a._module,i,e[0],r[0]);u.scene=t._fullLayout._splomScenes[a.uid],s.push(u);}}else if(\"sankey\"===a.type){var h=$(a._module,i,e[0],r[0]);s.push(h);}else {if(!(-1!==l.indexOf(a.xaxis)||a._xA&&a._xA.overlaying))continue;if(!(-1!==c.indexOf(a.yaxis)||a._yA&&a._yA.overlaying))continue;s.push($(a._module,i,L(t,a.xaxis),L(t,a.yaxis)));}else s.push($(a._module,i,e[0],r[0]));return s}function $(t,e,r,n){return {_module:t,cd:e,xaxis:r,yaxis:n}}function J(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length>0?n[0]:r;return !!e.selectedpoints&&e.selectedpoints.indexOf(i)>-1}function K(t,e,r){var n,i;for(n=0;n<e.length;n++){var o=e[n].cd[0].trace._fullInput,s=t._fullLayout._tracePreGUI[o.uid]||{};void 0===s.selectedpoints&&(s.selectedpoints=o._input.selectedpoints||null);}if(r){var l=r.points||[];for(n=0;n<e.length;n++)(i=e[n].cd[0].trace)._input.selectedpoints=i._fullInput.selectedpoints=[],i._fullInput!==i&&(i.selectedpoints=[]);for(var c=0;c<l.length;c++){var u=l[c],h=u.data,f=u.fullData,p=u.pointIndex,d=u.pointIndices;d?([].push.apply(h.selectedpoints,d),i._fullInput!==i&&[].push.apply(f.selectedpoints,d)):(h.selectedpoints.push(p),i._fullInput!==i&&f.selectedpoints.push(p));}}else for(n=0;n<e.length;n++)delete(i=e[n].cd[0].trace).selectedpoints,delete i._input.selectedpoints,i._fullInput!==i&&delete i._fullInput.selectedpoints;!function(t,e){for(var r=false,n=0;n<e.length;n++){var i=e[n],o=i.cd;a.traceIs(o[0].trace,\"regl\")&&(r=true);var s=i._module,l=s.styleOnSelect||s.style;l&&(l(t,o,o[0].node3),o[0].nodeRangePlot3&&l(t,o,o[0].nodeRangePlot3));}r&&(I(t),P(t));}(t,e);}function Q(t,e,r){for(var i=(r?n.difference:n.union)({regions:t},{regions:[e]}).regions.reverse(),a=0;a<i.length;a++){var o=i[a];o.subtract=st(o,i.slice(0,a));}return i}function tt(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=c(t[i],n,r);return t}function et(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var i=0;i<t[n].length;i++){r[n][i]=[],r[n][i][0]=i?\"L\":\"M\";for(var a=0;a<t[n][i].length;a++)r[n][i].push(t[n][i][a]);}e||r[n].push([\"Z\",r[n][0][1],r[n][0][2]]);}return r}function rt(t,e){for(var r,n,i=[],a=[],o=0;o<e.length;o++){var s=e[o];n=s._module.selectPoints(s,t),a.push(n),r=tt(n,s),i=i.concat(r);}return i}function nt(t,e,r,n,i){var a,o,s,l=!!n;i&&(a=i.plotinfo,o=i.xaxes[0]._id,s=i.yaxes[0]._id);var c=[],u=[],h=ot(t),f=t._fullLayout;if(a){var d=f._zoomlayer,g=f.dragmode,y=p(g),v=m(g);if(y||v){var x=L(t,o,\"x\"),_=L(t,s,\"y\");if(x&&_){var b=d.selectAll(\".select-outline-\"+a.id);if(b&&t._fullLayout._outlining&&b.length){for(var T=b[0][0].getAttribute(\"d\"),k=w(T,t,a),A=[],M=0;M<k.length;M++){for(var S=k[M],E=[],C=0;C<S.length;C++)E.push([lt(x,S[C][1]),lt(_,S[C][2])]);E.xref=o,E.yref=s,E.subtract=st(E,A),A.push(E);}h=h.concat(A);}}}}var I=o&&s?[o+s]:f._subplots.cartesian;!function(t){var e=t.calcdata;if(e)for(var r=0;r<e.length;r++){var n=e[r][0].trace,i=t._fullLayout._splomScenes;if(i){var a=i[n.uid];a&&(a.selectBatch=[]);}}}(t);for(var P={},z=0;z<I.length;z++){var O=I[z],D=O.indexOf(\"y\"),R=O.slice(0,D),F=O.slice(D),B=o&&s?r:void 0;if(B=at(h,R,F,B)){var N=n;if(!l){var j=L(t,R,\"x\"),U=L(t,F,\"y\");N=X(t,[j],[U],O);for(var V=0;V<N.length;V++){var q=N[V],H=q.cd[0],G=H.trace;if(\"scattergl\"===q._module.name&&!H.t.xpx){var Z=G.x,W=G.y,Y=G._length;H.t.xpx=[],H.t.ypx=[];for(var $=0;$<Y;$++)H.t.xpx[$]=j.c2p(Z[$]),H.t.ypx[$]=U.c2p(W[$]);}\"splom\"===q._module.name&&(P[G.uid]||(P[G.uid]=true));}}var J=rt(B,N);c=c.concat(J),u=u.concat(N);}}var Q={points:c};K(t,u,Q);var tt=f.clickmode.indexOf(\"event\")>-1&&e;if(!a&&e){var et=ot(t,true);if(et.length){var nt=et[0].xref,pt=et[0].yref;if(nt&&pt){var dt=ct(et);ut([L(t,nt,\"x\"),L(t,pt,\"y\")])(Q,dt);}}t._fullLayout._noEmitSelectedAtStart?t._fullLayout._noEmitSelectedAtStart=false:tt&&ht(t,Q),f._reselect=false;}if(!a&&f._deselect){var mt=f._deselect;((function(t,e,r){for(var n=0;n<r.length;n++){var i=r[n];if(i.xaxis&&i.xaxis._id===t&&i.yaxis&&i.yaxis._id===e)return  true}return  false}))(o=mt.xref,s=mt.yref,u)||it(t,o,s,n),tt&&(Q.points.length?ht(t,Q):ft(t)),f._deselect=false;}return {eventData:Q,selectionTesters:r}}function it(t,e,r,n){n=X(t,[L(t,e,\"x\")],[L(t,r,\"y\")],e+r);for(var i=0;i<n.length;i++){var a=n[i];a._module.selectPoints(a,false);}K(t,n);}function at(t,e,r,n){for(var i,a=0;a<t.length;a++){var o=t[a];e===o.xref&&r===o.yref&&(i?n=G(i=Q(i,o,!!o.subtract)):(i=[o],n=R(o)));}return n}function ot(t,e){for(var r=[],n=t._fullLayout,i=n.selections,a=i.length,o=0;o<a;o++)if(!e||o===n._activeSelectionIndex){var s=i[o];if(s){var l,c,u,h,f,p=s.xref,d=s.yref,m=L(t,p,\"x\"),v=L(t,d,\"y\");if(\"rect\"===s.type){f=[];var x=lt(m,s.x0),_=lt(m,s.x1),b=lt(v,s.y0),w=lt(v,s.y1);f=[[x,b],[x,w],[_,w],[_,b]],l=Math.min(x,_),c=Math.max(x,_),u=Math.min(b,w),h=Math.max(b,w),f.xmin=l,f.xmax=c,f.ymin=u,f.ymax=h,f.xref=p,f.yref=d,f.subtract=false,f.isRect=true,r.push(f);}else if(\"path\"===s.type)for(var T=s.path.split(\"Z\"),k=[],A=0;A<T.length;A++){var M=T[A];if(M){M+=\"Z\";var S=g.extractPathCoords(M,y.paramIsX,\"raw\"),E=g.extractPathCoords(M,y.paramIsY,\"raw\");l=1/0,c=-1/0,u=1/0,h=-1/0,f=[];for(var C=0;C<S.length;C++){var I=lt(m,S[C]),P=lt(v,E[C]);f.push([I,P]),l=Math.min(I,l),c=Math.max(I,c),u=Math.min(P,u),h=Math.max(P,h);}f.xmin=l,f.xmax=c,f.ymin=u,f.ymax=h,f.xref=p,f.yref=d,f.subtract=st(f,k),k.push(f),r.push(f);}}}}return r}function st(t,e){for(var r=false,n=0;n<e.length;n++)for(var a=e[n],o=0;o<t.length;o++)if(i(t[o],a)){r=!r;break}return r}function lt(t,e){return \"date\"===t.type&&(e=e.replace(\"_\",\" \")),\"log\"===t.type?t.c2p(e):t.r2p(e,null,t.calendar)}function ct(t){for(var e=t.length,r=[],n=0;n<e;n++){var i=t[n];r=(r=r.concat(i)).concat([i[0]]);}return (a=r).isRect=5===a.length&&a[0][0]===a[4][0]&&a[0][1]===a[4][1]&&a[0][0]===a[1][0]&&a[2][0]===a[3][0]&&a[0][1]===a[3][1]&&a[1][1]===a[2][1]||a[0][1]===a[1][1]&&a[2][1]===a[3][1]&&a[0][0]===a[3][0]&&a[1][0]===a[2][0],a.isRect&&(a.xmin=Math.min(a[0][0],a[2][0]),a.xmax=Math.max(a[0][0],a[2][0]),a.ymin=Math.min(a[0][1],a[2][1]),a.ymax=Math.max(a[0][1],a[2][1])),a;var a;}function ut(t){return function(e,r){for(var n,i,a=0;a<t.length;a++){var o=t[a],s=o._id,l=s.charAt(0);if(r.isRect){n||(n={});var c=r[l+\"min\"],u=r[l+\"max\"];void 0!==c&&void 0!==u&&(n[s]=[B(o,c),B(o,u)].sort(S));}else i||(i={}),i[s]=r.map(N(o));}n&&(e.range=n),i&&(e.lassoPoints=i);}}function ht(t,e){e&&(e.selections=(t.layout||{}).selections||[]),t.emit(\"plotly_selected\",e);}function ft(t){t.emit(\"plotly_deselect\",null);}t.exports={reselect:nt,prepSelect:function(t,e,r,n,i){var c=!U(n),u=h(i),g=f(i),y=d(i),x=p(i),_=m(i),w=\"drawcircle\"===i,T=\"drawline\"===i||w,k=n.gd,A=k._fullLayout,S=_&&\"immediate\"===A.newselection.mode&&c,E=A._zoomlayer,L=n.element.getBoundingClientRect(),I=n.plotinfo,P=j(I),F=e-L.left,B=r-L.top;A._calcInverseTransform(k);var N=M.apply3DTransform(A._invTransform)(F,B);F=N[0],B=N[1];var q,H,Y,$,J,tt,at,ot=A._invScaleX,st=A._invScaleY,lt=F,pt=B,dt=\"M\"+F+\",\"+B,mt=n.xaxes[0],gt=n.yaxes[0],yt=mt._length,vt=gt._length,xt=t.altKey&&!(p(i)&&y);Z(t,k,n),u&&(q=D([[F,B]],z.BENDPX));var _t=E.selectAll(\"path.select-outline-\"+I.id).data([1]),bt=x?A.newshape:A.newselection;x&&(n.hasText=bt.label.text||bt.label.texttemplate);var wt=x&&!y?bt.fillcolor:\"rgba(0,0,0,0)\",Tt=bt.line.color||(c?s.contrast(k._fullLayout.plot_bgcolor):\"#7f7f7f\");_t.enter().append(\"path\").attr(\"class\",\"select-outline 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s=A.selections[o];s.xref!==t||s.yref!==e?n.push(r[o]):i=true;}i&&(k._fullLayout._noEmitSelectedAtStart=true,a.call(\"_guiRelayout\",k,{selections:n}));}});var Ct=function(t){return t.plotinfo.fillRangeItems||ut(t.xaxes.concat(t.yaxes))}(n);n.moveFn=function(t,e){n._clearSubplotSelections&&(n._clearSubplotSelections(),n._clearSubplotSelections=void 0),lt=Math.max(0,Math.min(yt,ot*t+F)),pt=Math.max(0,Math.min(vt,st*e+B));var r=Math.abs(lt-F),i=Math.abs(pt-B);if(g){var a,o,s;if(_){var l=A.selectdirection;switch(a=\"any\"===l?i<Math.min(.6*r,O)?\"h\":r<Math.min(.6*i,O)?\"v\":\"d\":l){case \"h\":o=w?vt/2:0,s=vt;break;case \"v\":o=w?yt/2:0,s=yt;}}if(x)switch(A.newshape.drawdirection){case \"vertical\":a=\"h\",o=w?vt/2:0,s=vt;break;case \"horizontal\":a=\"v\",o=w?yt/2:0,s=yt;break;case 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i=e.ellipseOver({x0:r[0],y0:r[1],x1:n[0],y1:n[1]}),s=(i.x1+i.x0)/2,l=(i.y1+i.y0)/2,c=(i.x1-i.x0)/2,u=(i.y1-i.y0)/2;c||(c=u/=o),u||(u=c/=o);for(var h=[],f=0;f<a;f++){var p=2*f*Math.PI/a;h.push([s+c*Math.cos(p),l+u*Math.sin(p)]);}return h},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,c=((r-=s)+i)/2;return {x0:l-(a*=o),y0:c-(s*=o),x1:l+a,y1:c+s}},e.fixDatesForPaths=function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"));return t};},87562:function(t,e,r){var n=r(70414),i=n.drawMode,a=n.openMode,o=r(93391),s=o.i000,l=o.i090,c=o.i180,u=o.i270,h=o.cos45,f=o.sin45,p=r(49801),d=p.p2r,m=p.r2p,g=r(78534).clearOutline,y=r(81055),v=y.readPaths,x=y.writePaths,_=y.ellipseOver,b=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=v(p,o,y,w),C={editable:true,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(C.fillcolor=g.fillcolor,C.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)C.type=\"rect\",C.x0=n[0][1],C.y0=n[0][2],C.x1=n[2][1],C.y1=n[2][2];else if(n&&\"drawline\"===r)C.type=\"line\",C.x0=n[0][1],C.y0=n[0][2],C.x1=n[1][1],C.y1=n[1][2];else if(n&&\"drawcircle\"===r){C.type=\"circle\";var L=n[s][1],I=n[l][1],P=n[c][1],z=n[u][1],O=n[s][2],D=n[l][2],R=n[c][2],F=n[u][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(L=m(y.xaxis,L),I=m(y.xaxis,I),P=m(y.xaxis,P),z=m(y.xaxis,z)),N&&(O=m(y.yaxis,O),D=m(y.yaxis,D),R=m(y.yaxis,R),F=m(y.yaxis,F));var j=(I+z)/2,U=(O+R)/2,V=_({x0:j,y0:U,x1:j+(z-I+P-L)/2*h,y1:U+(F-D+R-O)/2*f});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),C.x0=V.x0,C.y0=V.y0,C.x1=V.x1,C.y1=V.y1;}else C.type=\"path\",T&&k&&b(E,T,k),C.path=x(E),n=null;return C}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case \"rect\":a=\"drawrect\";break;case \"circle\":a=\"drawcircle\";break;case \"line\":a=\"drawline\";break;case \"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\";}}var c=w(t,e,a);g(r);for(var u=e.editHelpers,h=(u||{}).modifyItem,f=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(f[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var m=c;switch(d.type){case \"line\":case \"rect\":case \"circle\":h(\"x0\",m.x0-(d.x0shift||0)),h(\"x1\",m.x1-(d.x1shift||0)),h(\"y0\",m.y0-(d.y0shift||0)),h(\"y1\",m.y1-(d.y1shift||0));break;case \"path\":h(\"path\",m.path);}}}return void 0===n?(f.push(c),f):u?u.getUpdateObj():{}}},createShapeObj:w};},78534:function(t){t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove();},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=false;}};},49728:function(t,e,r){var n=r(2956),i=r(34809),a=r(29714);function o(t,e){var r=0;return (e=e||0)&&t&&(\"category\"===t.type||\"multicategory\"===t.type)&&(r=(t.r2p(1)-t.r2p(0))*e),r}e.rangeToShapePosition=function(t){return \"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return \"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],c=r?l:i.cleanNumber(l);a.push(c);}}})),a},e.getDataToPixel=function(t,r,n,i,a){var s,l=t._fullLayout._size;if(r)if(\"domain\"===a)s=function(t){return r._length*(i?1-t:t)+r._offset};else {var c=e.shapePositionToRange(r);s=function(t){var e=o(r,n);return r._offset+r.r2p(c(t,true))+e},\"date\"===r.type&&(s=e.decodeDate(s));}else s=i?function(t){return l.t+l.h*(1-t)}:function(t){return l.l+l.w*t};return s},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return n?1-e:e};else {var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))};}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return (t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=true:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=true:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var s,l,c,u,h,f,p,d,m=r.type,g=a.getRefType(r.xref),y=a.getRefType(r.yref),v=a.getFromId(t,r.xref),x=a.getFromId(t,r.yref),_=t._fullLayout._size,b=o(v,r.x0shift),w=o(v,r.x1shift),T=o(x,r.y0shift),k=o(x,r.y1shift);if(v?\"domain\"===g?l=function(t){return v._offset+v._length*t}:(s=e.shapePositionToRange(v),l=function(t){return v._offset+v.r2p(s(t,true))}):l=function(t){return _.l+_.w*t},x?\"domain\"===y?u=function(t){return x._offset+x._length*(1-t)}:(c=e.shapePositionToRange(x),u=function(t){return x._offset+x.r2p(c(t,true))}):u=function(t){return _.t+_.h*(1-t)},\"path\"===m)return v&&\"date\"===v.type&&(l=e.decodeDate(l)),x&&\"date\"===x.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,c=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,u=t.charAt(0),h=n.paramIsX[u],f=n.paramIsY[u],p=n.numParams[u],d=t.substr(1).replace(n.paramRE,(function(t){return h[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):f[a]&&(t=\"pixel\"===s?r(c)-Number(t):r(t)),++a>p&&(t=\"X\"),t}));return a>p&&(d=d.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),u+d}))}(r,l,u);if(\"pixel\"===r.xsizemode){var A=l(r.xanchor);h=A+r.x0+b,f=A+r.x1+w;}else h=l(r.x0)+b,f=l(r.x1)+w;if(\"pixel\"===r.ysizemode){var M=u(r.yanchor);p=M-r.y0+T,d=M-r.y1+k;}else p=u(r.y0)+T,d=u(r.y1)+k;if(\"line\"===m)return \"M\"+h+\",\"+p+\"L\"+f+\",\"+d;if(\"rect\"===m)return \"M\"+h+\",\"+p+\"H\"+f+\"V\"+d+\"H\"+h+\"Z\";var S=(h+f)/2,E=(p+d)/2,C=Math.abs(S-h),L=Math.abs(E-p),I=\"A\"+C+\",\"+L,P=S+C+\",\"+E;return \"M\"+P+I+\" 0 1,1 \"+S+\",\"+(E-L)+I+\" 0 0,1 \"+P+\"Z\"};},43701:function(t,e,r){var n=r(28231);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(43144),supplyLayoutDefaults:r(74367),supplyDrawNewShapeDefaults:r(85522),includeBasePlot:r(20706)(\"shapes\"),calcAutorange:r(44959),draw:n.draw,drawOne:n.drawOne};},41235:function(t){function e(t,e){return e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t){return t.x0shift||0}function i(t){return t.x1shift||0}function a(t){return t.y0shift||0}function o(t){return t.y1shift||0}function s(t,r){return e(t.x1,r)+i(t)-e(t.x0,r)-n(t)}function l(t,r,n){return e(t.y1,n)+o(t)-e(t.y0,n)-a(t)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return \"line\"!==t.type?void 0:l(t,0,r)/s(t,e)},dx:s,dy:l,width:function(t,e){return Math.abs(s(t,e))},height:function(t,e,r){return Math.abs(l(t,0,r))},length:function(t,e,r){return \"line\"!==t.type?void 0:Math.sqrt(Math.pow(s(t,e),2)+Math.pow(l(t,0,r),2))},xcenter:function(t,a){return r((e(t.x1,a)+i(t)+e(t.x0,a)+n(t))/2,a)},ycenter:function(t,n,i){return r((e(t.y1,i)+o(t)+e(t.y0,i)+a(t))/2,i)}};},8606:function(t,e,r){var n=r(80337),i=r(57891),a=r(93049).extendDeepAll,o=r(13582).overrideAll,s=r(49722),l=r(78032).templatedArray,c=r(64194),u=l(\"step\",{visible:{valType:\"boolean\",dflt:true},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:true,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:true}});t.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:true},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:true},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\");},64194:function(t){t.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0};},74537:function(t,e,r){var n=r(34809),i=r(59008),a=r(8606),o=r(64194).name,s=a.steps;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}for(var s=i(t,e,{name:\"steps\",handleItemDefaults:c}),l=0,u=0;u<s.length;u++)s[u].visible&&l++;if(l<2?e.visible=false:o(\"visible\")){e._stepCount=l;var h=e._visibleSteps=n.filterVisible(s);(s[o(\"active\")]||{}).visible||(e.active=h[0]._index),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"len\"),o(\"lenmode\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"currentvalue.visible\")&&(o(\"currentvalue.xanchor\"),o(\"currentvalue.prefix\"),o(\"currentvalue.suffix\"),o(\"currentvalue.offset\"),n.coerceFont(o,\"currentvalue.font\",e.font)),o(\"transition.duration\"),o(\"transition.easing\"),o(\"bgcolor\"),o(\"activebgcolor\"),o(\"bordercolor\"),o(\"borderwidth\"),o(\"ticklen\"),o(\"tickwidth\"),o(\"tickcolor\"),o(\"minorticklen\");}}function c(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}if(\"skip\"===t.method||Array.isArray(t.args)?r(\"visible\"):e.visible=false){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+e._index);r(\"value\",i),r(\"execute\");}}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l});};},44097:function(t,e,r){var n=r(45568),i=r(44122),a=r(78766),o=r(62203),s=r(34809),l=s.strTranslate,c=r(30635),u=r(78032).arrayEditor,h=r(64194),f=r(4530),p=f.LINE_SPACING,d=f.FROM_TL,m=f.FROM_BR;function g(t){return h.autoMarginIdRoot+t._index}function y(t){return t._index}function v(t,e){var r=o.tester.selectAll(\"g.\"+h.labelGroupClass).data(e._visibleSteps);r.enter().append(\"g\").classed(h.labelGroupClass,true);var a=0,l=0;r.each((function(t){var r=b(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);l=Math.max(l,i.height),a=Math.max(a,i.width);}})),r.remove();var u=e._dims={};u.inputAreaWidth=Math.max(h.railWidth,h.gripHeight);var f=t._fullLayout._size;u.lx=f.l+f.w*e.x,u.ly=f.t+f.h*(1-e.y),\"fraction\"===e.lenmode?u.outerLength=Math.round(f.w*e.len):u.outerLength=e.len,u.inputAreaStart=0,u.inputAreaLength=Math.round(u.outerLength-e.pad.l-e.pad.r);var p=(u.inputAreaLength-2*h.stepInset)/(e._stepCount-1),y=a+h.labelPadding;if(u.labelStride=Math.max(1,Math.ceil(y/p)),u.labelHeight=l,u.currentValueMaxWidth=0,u.currentValueHeight=0,u.currentValueTotalHeight=0,u.currentValueMaxLines=1,e.currentvalue.visible){var v=o.tester.append(\"g\");r.each((function(t){var r=x(v,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=c.lineCount(r);u.currentValueMaxWidth=Math.max(u.currentValueMaxWidth,Math.ceil(n.width)),u.currentValueHeight=Math.max(u.currentValueHeight,Math.ceil(n.height)),u.currentValueMaxLines=Math.max(u.currentValueMaxLines,i);})),u.currentValueTotalHeight=u.currentValueHeight+e.currentvalue.offset,v.remove();}u.height=u.currentValueTotalHeight+h.tickOffset+e.ticklen+h.labelOffset+u.labelHeight+e.pad.t+e.pad.b;var _=\"left\";s.isRightAnchor(e)&&(u.lx-=u.outerLength,_=\"right\"),s.isCenterAnchor(e)&&(u.lx-=u.outerLength/2,_=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(u.ly-=u.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(u.ly-=u.height/2,w=\"middle\"),u.outerLength=Math.ceil(u.outerLength),u.height=Math.ceil(u.height),u.lx=Math.round(u.lx),u.ly=Math.round(u.ly);var T={y:e.y,b:u.height*m[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[_],T.r=0,T.xr=e.x+e.len*m[_]):(T.x=e.x,T.l=u.outerLength*d[_],T.r=u.outerLength*m[_]),i.autoMargin(t,g(e),T);}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case \"right\":n=a.inputAreaLength-h.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case \"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=h.currentValueInset,i=\"left\";}var l=s.ensureSingle(t,\"text\",h.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1});})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else {var f=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(f=s.templateString(f,d)),u+=f;}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var m=c.lineCount(l),g=(a.currentValueMaxLines+1-m)*e.currentvalue.font.size*p;return c.positionText(l,n,g),l}}function _(t,e,r){s.ensureSingle(t,\"rect\",h.gripRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\");})).attr({width:h.gripWidth,height:h.gripHeight,rx:h.gripRadius,ry:h.gripRadius}).call(a.stroke,r.bordercolor).call(a.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\");}function b(t,e,r){var n=s.ensureSingle(t,\"text\",h.labelClass,(function(t){t.attr({\"text-anchor\":\"middle\",\"data-notex\":1});})),i=e.step.label,a=r._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),n.call(o.font,r.font).text(i).call(c.convertToTspans,r._gd),n}function w(t,e){var r=s.ensureSingle(t,\"g\",h.labelsClass),i=e._dims,a=r.selectAll(\"g.\"+h.labelGroupClass).data(i.labelSteps);a.enter().append(\"g\").classed(h.labelGroupClass,true),a.exit().remove(),a.each((function(t){var r=n.select(this);r.call(b,t,e),o.setTranslate(r,E(e,t.fraction),h.tickOffset+e.ticklen+e.font.size*p+h.labelOffset+i.currentValueTotalHeight);}));}function T(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,true,i);}function k(t,e,r,n,a,o){var s=r.active;r.active=n,u(t.layout,h.name,r).applyUpdate(\"active\",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null);}))));}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on(\"mousedown\",l),t.on(\"touchstart\",l);}function s(){return r.data()[0]}function l(){var t=s();e.emit(\"plotly_sliderstart\",{slider:t});var l=r.select(\".\"+h.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var c=C(t,n.mouse(i)[0]);function u(){var t=s(),a=C(t,n.mouse(i)[0]);T(e,r,t,a,false);}function f(){var t=s();t._dragging=false,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),o.on(\"touchend\",null),o.on(\"touchmove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]});}T(e,r,t,c,true),t._dragging=true,o.on(\"mousemove\",u),o.on(\"touchmove\",u),o.on(\"mouseup\",f),o.on(\"touchend\",f);}}function M(t,e){var r=t.selectAll(\"rect.\"+h.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(h.tickRectClass,true),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?h.tickOffset:h.minorTickOffset)+i.currentValueTotalHeight);}));}function S(t,e,r){for(var n=t.select(\"rect.\"+h.gripRectClass),i=0,a=0;a<e._stepCount;a++)if(e._visibleSteps[a]._index===e.active){i=a;break}var o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&&e.transition.duration>0&&(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr(\"transform\",l(o-.5*h.gripWidth,e._dims.currentValueTotalHeight));}}function E(t,e){var r=t._dims;return r.inputAreaStart+h.stepInset+(r.inputAreaLength-2*h.stepInset)*Math.min(1,Math.max(0,e))}function C(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-h.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*h.stepInset-2*r.inputAreaStart)))}function L(t,e,r){var n=r._dims,i=s.ensureSingle(t,\"rect\",h.railTouchRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\");}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,h.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr(\"opacity\",0),o.setTranslate(i,0,n.currentValueTotalHeight);}function I(t,e){var r=e._dims,n=r.inputAreaLength-2*h.railInset,i=s.ensureSingle(t,\"rect\",h.railRectClass);i.attr({width:n,height:h.railWidth,rx:h.railRadius,ry:h.railRadius,\"shape-rendering\":\"crispEdges\"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(i,h.railInset,.5*(r.inputAreaWidth-h.railWidth)+r.currentValueTotalHeight);}t.exports=function(t){var e=t._context.staticPlot,r=t._fullLayout,a=function(t,e){for(var r=t[h.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a));}return n}(r,t),s=r._infolayer.selectAll(\"g.\"+h.containerClassName).data(a.length>0?[0]:[]);function l(e){e._commandObserver&&(e._commandObserver.remove(),delete e._commandObserver),i.autoMargin(t,g(e));}if(s.enter().append(\"g\").classed(h.containerClassName,true).style(\"cursor\",e?null:\"ew-resize\"),s.exit().each((function(){n.select(this).selectAll(\"g.\"+h.groupClassName).each(l);})).remove(),0!==a.length){var c=s.selectAll(\"g.\"+h.groupClassName).data(a,y);c.enter().append(\"g\").classed(h.groupClassName,true),c.exit().each(l).remove();for(var u=0;u<a.length;u++){var f=a[u];v(t,f);}c.each((function(e){var r=n.select(this);!function(t){var e=t._dims;e.labelSteps=[];for(var r=t._stepCount,n=0;n<r;n+=e.labelStride)e.labelSteps.push({fraction:n/(r-1),step:t._visibleSteps[n]});}(e),i.manageCommandObserver(t,e,e._visibleSteps,(function(e){var n=r.data()[0];n.active!==e.index&&(n._dragging||k(t,r,n,e.index,false,true));})),function(t,e,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index),e.call(x,r).call(I,r).call(w,r).call(M,r).call(L,t,r).call(_,t,r);var n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,false),e.call(x,r);}(t,n.select(this),e);}));}};},15359:function(t,e,r){var n=r(64194);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(8606),supplyLayoutDefaults:r(74537),draw:r(44097)};},17240:function(t,e,r){var n=r(45568),i=r(10721),a=r(44122),o=r(33626),s=r(34809),l=s.strTranslate,c=r(62203),u=r(78766),h=r(30635),f=r(20438),p=r(4530).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var m,g=t._fullLayout,y=r.propContainer,v=r.propName,x=r.placeholder,_=r.traceIndex,b=r.avoid||{},w=r.attributes,T=r.transform,k=r.containerGroup,A=1,M=y.title,S=(M&&M.text?M.text:\"\").trim(),E=false,C=M&&M.font?M.font:{},L=C.family,I=C.size,P=C.color,z=C.weight,O=C.style,D=C.variant,R=C.textcase,F=C.lineposition,B=C.shadow,N=!!r.subtitlePropName,j=r.subtitlePlaceholder,U=(y.title||{}).subtitle||{text:\"\",font:{}},V=U.text.trim(),q=false,H=1,G=U.font,Z=G.family,W=G.size,Y=G.color,X=G.weight,$=G.style,J=G.variant,K=G.textcase,Q=G.lineposition,tt=G.shadow;\"title.text\"===v?m=\"titleText\":-1!==v.indexOf(\"axis\")?m=\"axisTitleText\":v.indexOf(true)&&(m=\"colorbarTitleText\");var et=t._context.edits[m];function rt(t,e){return void 0!==t&&void 0!==e&&t.replace(d,\" % \")===e.replace(d,\" % \")}\"\"===S?A=0:rt(S,x)&&(et||(S=\"\"),A=.2,E=true),N&&(\"\"===V?H=0:rt(V,j)&&(et||(V=\"\"),H=.2,q=true)),r._meta?S=s.templateString(S,r._meta):g._meta&&(S=s.templateString(S,g._meta));var nt,it=S||V||et;k||(k=s.ensureSingle(g._infolayer,\"g\",\"g-\"+e),nt=g._hColorbarMoveTitle);var at=k.selectAll(\"text.\"+e).data(it?[0]:[]);at.enter().append(\"text\"),at.text(S).attr(\"class\",e),at.exit().remove();var ot=null,st=e+\"-subtitle\",lt=V||et;if(N&&lt&&((ot=k.selectAll(\"text.\"+st).data(lt?[0]:[])).enter().append(\"text\"),ot.text(V).attr(\"class\",st),ot.exit().remove()),!it)return k;function ct(t,e){s.syncOrAsync([ut,ht],{title:t,subtitle:e});}function ut(r){var i,o=r.title,f=r.subtitle;if(!T&&nt&&(T={}),T?(i=\"\",T.rotate&&(i+=\"rotate(\"+[T.rotate,w.x,w.y]+\")\"),(T.offset||nt)&&(i+=l(0,(T.offset||0)-(nt||0)))):i=null,o.attr(\"transform\",i),o.style(\"opacity\",A*u.opacity(P)).call(c.font,{color:u.rgb(P),size:n.round(I,2),family:L,weight:z,style:O,variant:D,textcase:R,shadow:B,lineposition:F}).attr(w).call(h.convertToTspans,t,(function(t){if(t){var e=n.select(t.node().parentNode).select(\".\"+st);if(!e.empty()){var r=t.node().getBBox();if(r.height){var i=r.y+r.height+1.6*W;e.attr(\"y\",i);}}}})),f){var p=k.select(\".\"+e+\"-math-group\"),d=o.node().getBBox(),m=p.node()?p.node().getBBox():void 0,g=m?m.y+m.height+1.6*W:d.y+d.height+1.6*W,y=s.extendFlat({},w,{y:g});f.attr(\"transform\",i),f.style(\"opacity\",H*u.opacity(Y)).call(c.font,{color:u.rgb(Y),size:n.round(W,2),family:Z,weight:X,style:$,variant:J,textcase:K,shadow:tt,lineposition:Q}).attr(y).call(h.convertToTspans,t);}return a.previousPromises(t)}function ht(e){var r=e.title,a=n.select(r.node().parentNode);if(b&&b.selection&&b.side&&S){a.attr(\"transform\",null);var o=p[b.side],u=\"left\"===b.side||\"top\"===b.side?-1:1,h=i(b.pad)?b.pad:2,f=c.bBox(a.node()),d={t:0,b:0,l:0,r:0},m=t._fullLayout._reservedMargin;for(var v in m)for(var x in m[v]){var _=m[v][x];d[x]=Math.max(d[x],_);}var w={left:d.l,top:d.t,right:g.width-d.r,bottom:g.height-d.b},T=b.maxShift||u*(w[b.side]-f[b.side]),k=0;if(T<0)k=T;else {var A=b.offsetLeft||0,M=b.offsetTop||0;f.left-=A,f.right-=A,f.top-=M,f.bottom-=M,b.selection.each((function(){var t=c.bBox(this);s.bBoxIntersect(f,t,h)&&(k=Math.max(k,u*(t[b.side]-f[o])+h));})),k=Math.min(T,k),y._titleScoot=Math.abs(k);}if(k>0||T<0){var E={left:[-k,0],right:[k,0],top:[0,-k],bottom:[0,k]}[b.side];a.attr(\"transform\",l(E[0],E[1]));}}}function ft(t,e){t.text(e).on(\"mouseover.opacity\",(function(){n.select(this).transition().duration(f.SHOW_PLACEHOLDER).style(\"opacity\",1);})).on(\"mouseout.opacity\",(function(){n.select(this).transition().duration(f.HIDE_PLACEHOLDER).style(\"opacity\",0);}));}if(at.call(ct,ot),et&&(S?at.on(\".opacity\",null):(ft(at,x),E=true),at.call(h.makeEditable,{gd:t}).on(\"edit\",(function(e){ void 0!==_?o.call(\"_guiRestyle\",t,v,e,_):o.call(\"_guiRelayout\",t,v,e);})).on(\"cancel\",(function(){this.text(this.attr(\"data-unformatted\")).call(ct);})).on(\"input\",(function(t){this.text(t||\" \").call(h.positionText,w.x,w.y);})),N)){if(N&&!S){var pt=at.node().getBBox(),dt=pt.y+pt.height+1.6*W;ot.attr(\"y\",dt);}V?ot.on(\".opacity\",null):(ft(ot,j),q=true),ot.call(h.makeEditable,{gd:t}).on(\"edit\",(function(e){o.call(\"_guiRelayout\",t,\"title.subtitle.text\",e);})).on(\"cancel\",(function(){this.text(this.attr(\"data-unformatted\")).call(ct);})).on(\"input\",(function(t){this.text(t||\" \").call(h.positionText,ot.attr(\"x\"),ot.attr(\"y\"));}));}return at.classed(\"js-placeholder\",E),ot&&ot.classed(\"js-placeholder\",q),k},SUBTITLE_PADDING_EM:1.6,SUBTITLE_PADDING_MATHJAX_EM:1.6};},85389:function(t,e,r){var n=r(80337),i=r(10229),a=r(93049).extendFlat,o=r(13582).overrideAll,s=r(57891),l=r(78032).templatedArray,c=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:true,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:true,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:true}});t.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:true},buttons:c,x:{valType:\"number\",min:-2,max:3,dflt:-0.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:a(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:i.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\");},71559:function(t){t.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"◄\",right:\"►\",up:\"▲\",down:\"▼\"}};},42746:function(t,e,r){var n=r(34809),i=r(59008),a=r(85389),o=r(71559).name,s=a.buttons;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}o(\"visible\",i(t,e,{name:\"buttons\",handleItemDefaults:c}).length>0)&&(o(\"active\"),o(\"direction\"),o(\"type\"),o(\"showactive\"),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"bgcolor\",r.paper_bgcolor),o(\"bordercolor\"),o(\"borderwidth\"));}function c(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}r(\"visible\",\"skip\"===t.method||Array.isArray(t.args))&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"));}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l});};},40974:function(t,e,r){var n=r(45568),i=r(44122),a=r(78766),o=r(62203),s=r(34809),l=r(30635),c=r(78032).arrayEditor,u=r(4530).LINE_SPACING,h=r(71559),f=r(21736);function p(t){return t._index}function d(t,e){return +t.attr(h.menuIndexAttrName)===e._index}function m(t,e,r,n,i,a,o,s){e.active=o,c(t.layout,h.name,e).applyUpdate(\"active\",o),\"buttons\"===e.type?y(t,n,null,null,e):\"dropdown\"===e.type&&(i.attr(h.menuIndexAttrName,\"-1\"),g(t,n,i,a,e),s||y(t,n,i,a,e));}function g(t,e,r,n,i){var a=s.ensureSingle(e,\"g\",h.headerClassName,(function(t){t.style(\"pointer-events\",\"all\");})),l=i._dims,c=i.active,u=i.buttons[c]||h.blankHeaderOpts,f={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},p={width:l.headerWidth,height:l.headerHeight};a.call(v,i,u,t).call(M,i,f,p),s.ensureSingle(e,\"text\",h.headerArrowClassName,(function(t){t.attr(\"text-anchor\",\"end\").call(o.font,i.font).text(h.arrowSymbol[i.direction]);})).attr({x:l.headerWidth-h.arrowOffsetX+i.pad.l,y:l.headerHeight/2+h.textOffsetY+i.pad.t}),a.on(\"click\",(function(){r.call(S,String(d(r,i)?-1:i._index)),y(t,e,r,n,i);})),a.on(\"mouseover\",(function(){a.call(w);})),a.on(\"mouseout\",(function(){a.call(T,i);})),o.setTranslate(e,l.lx,l.ly);}function y(t,e,r,a,o){r||(r=e).attr(\"pointer-events\",\"all\");var l=function(t){return  -1==+t.attr(h.menuIndexAttrName)}(r)&&\"buttons\"!==o.type?[]:o.buttons,c=\"dropdown\"===o.type?h.dropdownButtonClassName:h.buttonClassName,u=r.selectAll(\"g.\"+c).data(s.filterVisible(l)),f=u.enter().append(\"g\").classed(c,true),p=u.exit();\"dropdown\"===o.type?(f.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),p.transition().attr(\"opacity\",\"0\").remove()):p.remove();var d=0,g=0,y=o._dims,x=-1!==[\"up\",\"down\"].indexOf(o.direction);\"dropdown\"===o.type&&(x?g=y.headerHeight+h.gapButtonHeader:d=y.headerWidth+h.gapButtonHeader),\"dropdown\"===o.type&&\"up\"===o.direction&&(g=-h.gapButtonHeader+h.gapButton-y.openHeight),\"dropdown\"===o.type&&\"left\"===o.direction&&(d=-h.gapButtonHeader+h.gapButton-y.openWidth);var _={x:y.lx+d+o.pad.l,y:y.ly+g+o.pad.t,yPad:h.gapButton,xPad:h.gapButton,index:0},k={l:_.x+o.borderwidth,t:_.y+o.borderwidth};u.each((function(s,l){var c=n.select(this);c.call(v,o,s,t).call(M,o,_),c.on(\"click\",(function(){n.event.defaultPrevented||(s.execute&&(s.args2&&o.active===l?(m(t,o,0,e,r,a,-1),i.executeAPICommand(t,s.method,s.args2)):(m(t,o,0,e,r,a,l),i.executeAPICommand(t,s.method,s.args))),t.emit(\"plotly_buttonclicked\",{menu:o,button:s,active:o.active}));})),c.on(\"mouseover\",(function(){c.call(w);})),c.on(\"mouseout\",(function(){c.call(T,o),u.call(b,o);}));})),u.call(b,o),x?(k.w=Math.max(y.openWidth,y.headerWidth),k.h=_.y-k.t):(k.w=_.x-k.l,k.h=Math.max(y.openHeight,y.headerHeight)),k.direction=o.direction,a&&(u.size()?function(t,e,r,n,i,a){var o,s,l,c=i.direction,u=\"up\"===c||\"down\"===c,f=i._dims,p=i.active;if(u)for(s=0,l=0;l<p;l++)s+=f.heights[l]+h.gapButton;else for(o=0,l=0;l<p;l++)o+=f.widths[l]+h.gapButton;n.enable(a,o,s),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\");}(0,0,0,a,o,k):function(t){var e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=false,r||t.disable();})),r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=false,e||t.disable();}));}(a));}function v(t,e,r,n){t.call(x,e).call(_,e,r,n);}function x(t,e){s.ensureSingle(t,\"rect\",h.itemRectClassName,(function(t){t.attr({rx:h.rx,ry:h.ry,\"shape-rendering\":\"crispEdges\"});})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\");}function _(t,e,r,n){var i=s.ensureSingle(t,\"text\",h.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1});})),a=r.label,c=n._fullLayout._meta;c&&(a=s.templateString(a,c)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n);}function b(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+h.itemRectClassName).call(a.fill,h.activeColor);}));}function w(t){t.select(\"rect.\"+h.itemRectClassName).call(a.fill,h.hoverColor);}function T(t,e){t.select(\"rect.\"+h.itemRectClassName).call(a.fill,e.bgcolor);}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+h.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(h.dropdownButtonClassName,true);var c=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(v,e,i,t);var f=s.select(\".\"+h.itemTextClassName),p=f.node()&&o.bBox(f.node()).width,d=Math.max(p+h.textPadX,h.minWidth),m=e.font.size*u,g=l.lineCount(f),y=Math.max(m*g,h.minHeight)+h.textOffsetY;y=Math.ceil(y),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=y,r.height1=Math.max(r.height1,y),r.width1=Math.max(r.width1,d),c?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=y+h.gapButton,r.openHeight+=y+h.gapButton):(r.totalWidth+=d+h.gapButton,r.openWidth+=d+h.gapButton,r.totalHeight=Math.max(r.totalHeight,y),r.openHeight=r.totalHeight);})),c?r.totalHeight-=h.gapButton:r.totalWidth-=h.gapButton,r.headerWidth=r.width1+h.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(c?(r.width1+=h.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=h.arrowPadX),a.remove();var f=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var m=\"left\";s.isRightAnchor(e)&&(r.lx-=f,m=\"right\"),s.isCenterAnchor(e)&&(r.lx-=f/2,m=\"center\");var g=\"top\";s.isBottomAnchor(e)&&(r.ly-=p,g=\"bottom\"),s.isMiddleAnchor(e)&&(r.ly-=p/2,g=\"middle\"),r.totalWidth=Math.ceil(r.totalWidth),r.totalHeight=Math.ceil(r.totalHeight),r.lx=Math.round(r.lx),r.ly=Math.round(r.ly),i.autoMargin(t,A(e),{x:e.x,y:e.y,l:f*({right:1,center:.5}[m]||0),r:f*({left:1,center:.5}[m]||0),b:p*({top:1,middle:.5}[g]||0),t:p*({bottom:1,middle:.5}[g]||0)});}function A(t){return h.autoMarginIdRoot+t._index}function M(t,e,r,n){n=n||{};var i=t.select(\".\"+h.itemRectClassName),a=t.select(\".\"+h.itemTextClassName),s=e.borderwidth,c=r.index,f=e._dims;o.setTranslate(t,s+r.x,s+r.y);var p=-1!==[\"up\",\"down\"].indexOf(e.direction),d=n.height||(p?f.heights[c]:f.height1);i.attr({x:0,y:0,width:n.width||(p?f.width1:f.widths[c]),height:d});var m=e.font.size*u,g=(l.lineCount(a)-1)*m/2;l.positionText(a,h.textOffsetX,d/2-g+h.textOffsetY),p?r.y+=f.heights[c]+r.yPad:r.x+=f.widths[c]+r.xPad,r.index++;}function S(t,e){t.attr(h.menuIndexAttrName,e||\"-1\").selectAll(\"g.\"+h.dropdownButtonClassName).remove();}t.exports=function(t){var e=t._fullLayout,r=s.filterVisible(e[h.name]);function a(e){i.autoMargin(t,A(e));}var o=e._menulayer.selectAll(\"g.\"+h.containerClassName).data(r.length>0?[0]:[]);if(o.enter().append(\"g\").classed(h.containerClassName,true).style(\"cursor\",\"pointer\"),o.exit().each((function(){n.select(this).selectAll(\"g.\"+h.headerGroupClassName).each(a);})).remove(),0!==r.length){var l=o.selectAll(\"g.\"+h.headerGroupClassName).data(r,p);l.enter().append(\"g\").classed(h.headerGroupClassName,true);for(var c=s.ensureSingle(o,\"g\",h.dropdownButtonGroupClassName,(function(t){t.style(\"pointer-events\",\"all\");})),u=0;u<r.length;u++){var v=r[u];k(t,v);}var x=\"updatemenus\"+e._uid,_=new f(t,c,x);l.enter().size()&&(c.node().parentNode.appendChild(c.node()),c.call(S)),l.exit().each((function(t){c.call(S),a(t);})).remove(),l.each((function(e){var r=n.select(this),a=\"dropdown\"===e.type?c:null;i.manageCommandObserver(t,e,e.buttons,(function(n){m(t,e,e.buttons[n.index],r,a,_,n.index,true);})),\"dropdown\"===e.type?(g(t,r,c,_,e),d(c,e)&&y(t,r,c,_,e)):y(t,r,null,null,e);}));}};},46230:function(t,e,r){var n=r(71559);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(85389),supplyLayoutDefaults:r(42746),draw:r(40974)};},21736:function(t,e,r){t.exports=s;var n=r(45568),i=r(78766),a=r(62203),o=r(34809);function s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",true).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0});}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,c=o.height;this.position=t;var u,h,f,p,d=this.position.l,m=this.position.w,g=this.position.t,y=this.position.h,v=this.position.direction,x=\"down\"===v,_=\"left\"===v,b=\"up\"===v,w=m,T=y;x||_||\"right\"===v||b||(this.position.direction=\"down\",x=true),x||b?(h=(u=d)+w,x?(f=g,T=(p=Math.min(f+T,c))-f):T=(p=g+T)-(f=Math.max(p-T,0))):(p=(f=g)+T,_?w=(h=d+w)-(u=Math.max(h-w,0)):(u=d,w=(h=Math.min(u+w,l))-u)),this._box={l:u,t:f,w:w,h:T};var k=m>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>c&&(E=c-M);var C=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);C.exit().on(\".drag\",null).remove(),C.enter().append(\"rect\").classed(\"scrollbar-horizontal\",true).call(i.fill,s.barColor),k?(this.hbar=C.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var L=y>T,I=s.barWidth+2*s.barPad,P=s.barLength+2*s.barPad,z=d+m,O=g;z+I>l&&(z=l-I);var D=this.container.selectAll(\"rect.scrollbar-vertical\").data(L?[0]:[]);D.exit().on(\".drag\",null).remove(),D.enter().append(\"rect\").classed(\"scrollbar-vertical\",true).call(i.fill,s.barColor),L?(this.vbar=D.attr({rx:s.barRadius,ry:s.barRadius,x:z,y:O,width:I,height:P}),this._vbarYMin=O+P/2,this._vbarTranslateMax=T-P):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=u-.5,B=L?h+I+.5:h+.5,N=f-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll(\"#\"+R).data(k||L?[0]:[]);if(U.exit().remove(),U.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),k||L?(this._clipRect=U.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:m,height:y})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),k||L){var V=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault();})).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(V);var q=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation();})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(q),L&&this.vbar.on(\".drag\",null).call(q);}this.setTranslate(e,r);},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e);},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t+=n.event.deltaY),this.vbar&&(e+=n.event.deltaY),this.setTranslate(t,e);},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w);}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h);}this.setTranslate(t,e);},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e);}if(this.vbar){var 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r._modeBar,r._hoverpaper=r._paperdiv.append(\"svg\").classed(\"main-svg\",true),!r._uid){var i={};n.selectAll(\"defs\").each((function(){this.id&&(i[this.id.split(\"-\")[1]]=1);})),r._uid=o.randstr(i);}r._paperdiv.selectAll(\".main-svg\").attr(x.svgAttrs),r._defs=r._paper.append(\"defs\").attr(\"id\",\"defs-\"+r._uid),r._clips=r._defs.append(\"g\").classed(\"clips\",true),r._topdefs=r._toppaper.append(\"defs\").attr(\"id\",\"topdefs-\"+r._uid),r._topclips=r._topdefs.append(\"g\").classed(\"clips\",true),r._bgLayer=r._paper.append(\"g\").classed(\"bglayer\",true),r._draggers=r._paper.append(\"g\").classed(\"draglayer\",true);var 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r=d._basePlotModules,n=0;n<r.length;n++)r[n].drawFramework&&r[n].drawFramework(t);!d._glcanvas&&d._has(\"gl\")&&(d._glcanvas=d._glcontainer.selectAll(\".gl-canvas\").data([{key:\"contextLayer\",context:true,pick:false},{key:\"focusLayer\",context:false,pick:false},{key:\"pickLayer\",context:false,pick:true}],(function(t){return t.key})),d._glcanvas.enter().append(\"canvas\").attr(\"class\",(function(t){return \"gl-canvas gl-canvas-\"+t.key.replace(\"Layer\",\"\")})).style({position:\"absolute\",top:0,left:0,overflow:\"visible\",\"pointer-events\":\"none\"}));var i=t._context.plotGlPixelRatio;if(d._glcanvas){d._glcanvas.attr(\"width\",d.width*i).attr(\"height\",d.height*i).style(\"width\",d.width+\"px\").style(\"height\",d.height+\"px\");var a=d._glcanvas.data()[0].regl;if(a&&(Math.floor(d.width*i)!==a._gl.drawingBufferWidth||Math.floor(d.height*i)!==a._gl.drawingBufferHeight)){var s=\"WebGL context buffer and canvas dimensions do not match due to browser/WebGL bug.\";if(!w)return 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C=o.syncOrAsync(S,t);return C&&C.then||(C=Promise.resolve()),C.then((function(){return E(t),t}))},e.purge=function(t){var e=(t=o.getGraphDiv(t))._fullLayout||{},r=t._fullData||[];return f.cleanPlot([],{},r,e),f.purge(t),l.purge(t),e._container&&e._container.remove(),delete t._context,t},e.react=function(t,r,n,i){var a,l;t=o.getGraphDiv(t),T.clearPromiseQueue(t);var c=t._fullData,p=t._fullLayout;if(o.isPlotDiv(t)&&c&&p){if(o.isPlainObject(r)){var d=r;r=d.data,n=d.layout,i=d.config,a=d.frames;}var m=false;if(i){var g=o.extendDeep({},t._context);t._context=void 0,I(t,i),m=st(g,t._context);}t.data=r||[],T.cleanData(t.data),t.layout=n||{},T.cleanLayout(t.layout),function(t,e,r,n){var i,a,l,c,u,h,f,p,d,m,g=n._preGUI,y=[],v={},x={};for(i in g){if(u=et(i,Q)){if(d=u.head,m=u.tail,a=u.attr||d+\".uirevision\",(c=(l=s(n,a).get())&&rt(a,e))&&c===l){if(null===(h=g[i])&&(h=void 0),at(p=(f=s(e,i)).get(),h)){ void 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r=t.charAt(0),n=e.charAt(0);return r!==n?r>n?1:-1:+(t.substr(1)||1)-+(e.substr(1)||1)},e.ref2id=function(t){return !!/^[xyz]/.test(t)&&t.split(\" \")[0]},e.isLinked=function(t,e){return a(e,t._axisMatchGroups)||a(e,t._axisConstraintGroups)};},46473:function(t,e,r){var n=r(87800).isTypedArraySpec;t.exports=function(t,e,r,i){if(\"category\"===e.type){var a,o=t.categoryarray,s=Array.isArray(o)&&o.length>0||n(o);s&&(a=\"array\");var l,c=r(\"categoryorder\",a);\"array\"===c&&(l=r(\"categoryarray\")),s||\"array\"!==c||(c=e.categoryorder=\"trace\"),\"trace\"===c?e._initialCategories=[]:\"array\"===c?e._initialCategories=l.slice():(l=function(t,e){var r,n,i,a=e.dataAttr||t._id.charAt(0),o={};if(e.axData)r=e.axData;else for(r=[],n=0;n<e.data.length;n++){var s=e.data[n];s[a+\"axis\"]===t._id&&r.push(s);}for(n=0;n<r.length;n++){var l=r[n][a];for(i=0;i<l.length;i++){var c=l[i];null!=c&&(o[c]=1);}}return Object.keys(o)}(e,i).sort(),\"category ascending\"===c?e._initialCategories=l:\"category 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s=t._fullLayout;ct=s._has(\"scattergl\"),ut=s._has(\"splom\"),ht=s._has(\"svg\");}r+=e.yaxis._shift,vt();var xt=function(t,e,r){return t?\"nsew\"===t?r?\"\":\"pan\"===e?\"move\":\"crosshair\":t.toLowerCase()+\"-resize\":\"pointer\"}(at+it,t._fullLayout.dragmode,gt),_t=O(e,m+y+\"drag\",xt,r,s,c,h);if(ot&&!gt)return _t.onmousedown=null,_t.style.pointerEvents=\"none\",_t;var bt,wt,Tt,kt,At,Mt,St,Et,Ct,Lt,It={element:_t,gd:t,plotinfo:e};function Pt(){It.plotinfo.selection=false,M(t);}function zt(t,r){var i=It.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else {var o=i._fullLayout.clickmode;if(q(i),2!==t||yt||Ht(),gt)o.indexOf(\"select\")>-1&&S(r,i,$,J,e.id,It),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=m?z:P,c=\"s\"===m||\"w\"===y?0:1,h=s._name+\".range[\"+c+\"]\",f=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return \"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,c),d=\"left\",g=\"middle\";if(s.fixedrange)return;m?(g=\"n\"===m?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===y&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(_t).call(u.makeEditable,{gd:i,immediate:true,background:i._fullLayout.paper_bgcolor,text:String(f),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,h,e);}));}}}function Ot(e,r){if(t._transitioningWithDuration)return  false;var n=Math.max(0,Math.min(tt,pt*e+bt)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-bt),o=Math.abs(i-wt);function 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h=0;h<t.length;h++)a=t[h],\"gl2d\"===e&&n.traceIs(a,\"gl2d\")?a[l[0]]===o&&a[l[1]]===s&&c.push(a):a[l]===r&&c.push(a);return c};},77055:function(t,e,r){var n=r(99978),i=r(20573),a=r(44039),o=r(54826),s=r(74043);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=false,this.boxInited=false,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0];}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,c=new l(e,r);function u(){t.xaxis.autorange=false,t.yaxis.autorange=false;}function h(e,n,i){var a,s,l=t.calcDataBox(),h=r.viewBox,f=c.lastPos[0],p=c.lastPos[1],d=o.MINDRAG*r.pixelRatio,m=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,c.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty());}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=h[3]-h[1]-i,t.fullLayout.dragmode){case \"zoom\":if(e){var y=n/(h[2]-h[0])*(l[2]-l[0])+l[0],v=i/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=y,c.boxStart[1]=v,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=y,c.boxEnd[1]=v,c.boxInited=true,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=true);var x=Math.abs(c.dragStart[0]-n)<m,_=Math.abs(c.dragStart[1]-i)<m;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return  true;break}return  false}()||x&&_)x&&(c.boxEnd[0]=c.boxStart[0]),_&&(c.boxEnd[1]=c.boxStart[1]);else {a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var b=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*b)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*b*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(b)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(b))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/b*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(b)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(b)));}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(g(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=false),s&&(g(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=false),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=false,c.boxInited=false):c.boxInited&&(c.boxInited=false);break;case \"pan\":c.boxEnabled=false,c.boxInited=false,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=true,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=false,t.relayoutCallback());}c.lastPos[0]=n,c.lastPos[1]=i;}return c.mouseListener=n(e,h),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault();}),!!s&&{passive:false}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault();}),!!s&&{passive:false}),e.addEventListener(\"touchend\",(function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault();}),!!s&&{passive:false}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return  false;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),h=o/(a[2]-a[0])*(i[2]-i[0])+i[0],f=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-h)*l+h,i[2]=(i[2]-h)*l+h,i[1]=(i[1]-f)*l+f,i[3]=(i[3]-f)*l+f,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),true}),true),c};},10749:function(t,e,r){var n=r(29714),i=r(55010);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[false,false,false,false],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[true,true,false,false],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[true,true,false,false],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=true,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[true,true],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[true,true],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot;}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,h,f,p;for(this.titleEnable=false,this.backgroundColor=i(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[f+p]=false,this.labels[f+p]=n,this.labelColor[f+p]=i(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=false,this.tickColor[f+p]=i((r.tickfont||{}).color),this.tickAngle[f+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=i(r.tickcolor),this.borderLineEnable[f+p]=false,this.borderLineColor[f+p]=i(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||false,u=c?-1!==String(a).indexOf(\"all\"):!!a,h=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[f]=true:l&&(this.labelEnable[f+2]=true),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=i(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=i(r.zerolinecolor),this.zeroLineWidth[f]=r.zerolinewidth;}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return \"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return \"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return \"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return \"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return \"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)};},24585:function(t,e,r){var n=r(13582).overrideAll,i=r(27672),a=r(6704),o=r(62972),s=r(54826),l=r(37703),c=r(6811),u=r(4173).KO;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(55126),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r);},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout);}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===u(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o]);}l.clean.apply(this,arguments);},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t);},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy();}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode);};},27672:function(t,e,r){var n,i,a=r(33626),o=r(29714),s=r(32141),l=r(99098).gl_plot2d,c=r(99098).gl_spikes2d,u=r(99098).gl_select_box,h=r(22248),f=r(10749),p=r(77055),d=r(97464),m=r(84391),g=m.enforce,y=m.clean,v=r(32919).doAutoRange,x=r(70414),_=x.drawMode,b=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(54826).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:false,outerFill:true}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=true,this.stopped=false,this.redraw=this.draw.bind(this),this.redraw());}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=h({canvas:n,preserveDrawingBuffer:false,premultipliedAlpha:true,antialias:true}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i;}else {var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({canvas:t,preserveDrawingBuffer:true,premultipliedAlpha:true});if(!e)return d(this),void(this.stopped=true);this.canvas=t,this.gl=e;}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=false,l.unhover();})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=true;}));},A.toImage=function(t){t||(t=\"png\"),this.stopped=true,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u;}var h=document.createElement(\"canvas\");h.width=r,h.height=i;var f,p=h.getContext(\"2d\",{willReadFrequently:true}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case \"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case \"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\");}return this.staticPlot&&this.container.removeChild(n),f},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n];},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i);},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return  true;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return  true}return  false})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations());},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r);}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e];})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=true,this.camera.mouseListener.enabled=false,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null;}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,i-u.r-(1-h[1])*u.w,a-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],v(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw();},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return [i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])];},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o];}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c);}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}));},A.updateFx=function(t){b(t)||_(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null;},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]});},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=true;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty();}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=false;var h=i._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[m.trace.index]||{},y=m.pointIndex,v=s.castHoverinfo(g,i,y);if(v&&\"all\"!==v){var x=v.split(\"+\");-1===x.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(m.textLabel=void 0),-1===x.indexOf(\"name\")&&(m.name=void 0);}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,y,\"bgcolor\")||m.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv});}}a||this.unhover(),t.draw();}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer));},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}};},2487:function(t,e,r){var n=r(13582).overrideAll,i=r(6811),a=r(20299),o=r(4173).KO,s=r(34809),l=r(62972),c=\"gl3d\",u=\"scene\";e.name=c,e.attr=u,e.idRoot=u,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(22597),e.layoutAttributes=r(77168),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(15250),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[c],i=0;i<n.length;i++){var s=n[i],l=o(r,c,s),u=e[s],h=u.camera,f=u._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:h},e),u._scene=f),f.viewInitial||(f.viewInitial={up:{x:h.up.x,y:h.up.y,z:h.up.z},eye:{x:h.eye.x,y:h.eye.y,z:h.eye.z},center:{x:h.center.x,y:h.center.y,z:h.center.z}}),f.plot(l,e,t.layout);}},e.clean=function(t,e,r,n){for(var i=n._subplots[c]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove());}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[c],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,u=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":u,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy();}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return \"1\"===e&&(e=\"\"),u+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[c],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode);};},22597:function(t){t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}};},63397:function(t,e,r){var n=r(78766),i=r(25829),a=r(93049).extendFlat,o=r(13582).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:true},spikesides:{valType:\"boolean\",dflt:true},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:false},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:true},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":false}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":false}}],anim:false}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\");},34258:function(t,e,r){var n=r(65657).mix,i=r(34809),a=r(78032),o=r(63397),s=r(4392),l=r(97655),c=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var u,h;function f(t,e){return i.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=a.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:true,noAutotickangles:true,noTicklabelindex:true,noTickson:true,noTicklabelmode:true,noTicklabelshift:true,noTicklabelstandoff:true,noTicklabelstep:true,noTicklabelposition:true,noTicklabeloverflow:true,noInsiderange:true,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,72.72727272727273).toRgbString()),f(\"title.text\",d[0]),h.setScale=i.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\");}};},95701:function(t,e,r){var n=r(55010),i=r(34809),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[true,true,true],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[true,true,true],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[true,true,true],this.lineMirror=[false,false,false],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[true,true,true],this.lineTickMirror=[false,false,false],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[true,true,true],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[true,true,true],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[true,true,true],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice();}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size),s.title.font.weight&&(r.labelFontWeight[o]=s.title.font.weight),s.title.font.style&&(r.labelFontStyle[o]=s.title.font.style),s.title.font.variant&&(r.labelFontVariant[o]=s.title.font.variant)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=false:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=true:r.lineTickEnable[o]=false,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size),s.tickfont.weight&&(r.tickFontWeight[o]=s.tickfont.weight),s.tickfont.style&&(r.tickFontStyle[o]=s.tickfont.style),s.tickfont.variant&&(r.tickFontVariant[o]=s.tickfont.variant)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=true,r.lineMirror[o]=true):true===s.mirror?(r.lineTickMirror[o]=false,r.lineMirror[o]=true):(r.lineTickMirror[o]=false,r.lineMirror[o]=false):r.lineMirror[o]=false,\"showbackground\"in s&&false!==s.showbackground?(r.backgroundEnable[o]=true,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=false):(r.tickEnable[o]=false,r.labelEnable[o]=false,r.lineEnable[o]=false,r.lineTickEnable[o]=false,r.gridEnable[o]=false,r.zeroEnable[o]=false,r.backgroundEnable[o]=false);}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r};},15250:function(t,e,r){var n=r(34809),i=r(78766),a=r(33626),o=r(4448),s=r(34258),l=r(77168),c=r(4173).KO,u=\"gl3d\";function h(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),h=[\"up\",\"center\",\"eye\"],f=0;f<h.length;f++)r(\"camera.\"+h[f]+\".x\"),r(\"camera.\"+h[f]+\".y\"),r(\"camera.\"+h[f]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var m=c(n.fullData,u,n.id);s(t,e,{font:n.font,scene:n.id,data:m,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(false!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,v=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&v&&x?x/Math.sqrt(y*y+v*v+x*x)>.999&&(g=\"turntable\"):g=\"turntable\");}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"));}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:u,attributes:l,handleDefaults:h,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar});};},77168:function(t,e,r){var n=r(63397),i=r(13792).u,a=r(93049).extendFlat,o=r(34809).counterRegex;function s(t,e,r){return {x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",true)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",false],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",false],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}};},64087:function(t,e,r){var n=r(55010),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[true,true,true],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[true,true,true],this.lineWidth=[1,1,1];}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=false,this.drawSides[e]=false);}},t.exports=function(t){var e=new a;return e.merge(t),e};},32412:function(t,e,r){t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else {u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f);}for(var p=n.calcTicks(u,{msUTC:true}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h;}}for(e.ticks=l,c=0;c<3;++c)for(o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]),d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i;}return e}(l);};var n=r(29714),i=r(34809),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0];},25802:function(t){function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))};},20299:function(t,e,r){var n,i,a=r(99098).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(22248),c=r(74043),u=r(33626),h=r(34809),f=h.preserveDrawingBuffer(),p=r(29714),d=r(32141),m=r(55010),g=r(97464),y=r(25802),v=r(95701),x=r(64087),_=r(32412),b=r(32919).applyAutorangeOptions,w=false;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot();}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:f,premultipliedAlpha:true,antialias:true},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:true,autoScale:true,autoBounds:false,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:true,premultipliedAlpha:true,antialias:true}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n;}return e};var A=true;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=true;try{t.glplot=s(e);}catch(n){if(t.staticMode||!A||f)r=false;else {h.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{f=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e);}catch(t){f=e.glOptions.preserveDrawingBuffer=false,r=false;}}}return A=false,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"});},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(false!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e);}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t);})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=true;})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z});}i(t);}}),!!c&&{passive:false}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(false!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e);}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id});}),false)),t.glplot.oncontextloss=function(){t.recoverContext();},t.glplot.onrender=function(){t.render();},true},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),_(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,f=e.glplot.selection,m=0;m<c.length;++m)\"skip\"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(f)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return \"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var v=y(e.glplot.cameraParams,f.dataCoordinate);t=u.data;var x,b=r._fullData[t.index],T=f.index,k={xLabel:g(\"x\",f.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",f.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",f.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(b,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;b.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(f.textLabel=void 0),-1===M.indexOf(\"name\")&&(u.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",f.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",f.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",f.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=f.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=f.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),f.textLabel&&E.push(f.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(f.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),f.textLabel&&E.push(f.textLabel),x=E.join(\"<br>\")):x=f.textLabel;var C={x:f.traceCoordinate[0],y:f.traceCoordinate[1],z:f.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:T};d.appendArrayPointValue(C,b,T),t._module.eventData&&(C=b._module.eventData(C,f,b,{},T));var L={points:[C]};if(e.fullSceneLayout.hovermode){var I=[];d.loneHover({trace:b,x:(.5+.5*v[0]/v[3])*s,y:(.5-.5*v[1]/v[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:u.name,color:d.castHoverOption(b,T,\"bgcolor\")||u.color,borderColor:d.castHoverOption(b,T,\"bordercolor\"),fontFamily:d.castHoverOption(b,T,\"font.family\"),fontSize:d.castHoverOption(b,T,\"font.size\"),fontColor:d.castHoverOption(b,T,\"font.color\"),nameLength:d.castHoverOption(b,T,\"namelength\"),textAlign:d.castHoverOption(b,T,\"align\"),hovertemplate:h.castOption(b,T,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},C,k),eventData:[C]},{container:n,gd:r,inOut_bbox:I}),C.bbox=I[0];}f.distance<5&&(f.buttons||w)?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L;}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e);},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):h.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\");};requestAnimationFrame(e);};var M=[\"xaxis\",\"yaxis\",\"zaxis\"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(h.isArrayOrTypedArray(l))for(var f,p=0;p<(u||l.length);p++)if(h.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1);}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,c,u=e[n.id],h=r[n.id];n.fullLayout=e,n.fullSceneLayout=u,n.axesOptions.merge(e,u),n.spikeOptions.merge(u),n.setViewport(u),n.updateFx(u.dragmode,u.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(m(u.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o) true===(i=t[o]).visible&&0!==i._length&&S(this,i,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u));}}}(this,f);var p=[1,1,1];for(s=0;s<3;++s)f[1][s]===f[0][s]?p[s]=1:p[s]=1/(f[1][s]-f[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o) true===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&true===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]];}n.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,y=[[0,0,0],[0,0,0]],v=[],x={};for(o=0;o<3;++o){var _;if((c=(l=u[M[o]]).type)in x?(x[c].acc*=p[o],x[c].count+=1):x[c]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var w=n.glplot.objects,T=n.fullSceneLayout.annotations||[],k=l._name.charAt(0);for(s=0;s<w.length;s++){var A=w[s],E=A.bounds,C=A._trace.data._pad||0;\"ErrorBars\"===A.constructor.name&&l._lowerLogErrorBound?y[0][o]=Math.min(y[0][o],l._lowerLogErrorBound):y[0][o]=Math.min(y[0][o],E[0][o]/p[o]-C),y[1][o]=Math.max(y[1][o],E[1][o]/p[o]+C);}for(s=0;s<T.length;s++){var L=T[s];if(L.visible){var I=l.r2l(L[k]);y[0][o]=Math.min(y[0][o],I),y[1][o]=Math.max(y[1][o],I);}}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(y[0][o]=Math.min(y[0][o],0),y[1][o]=Math.max(y[1][o],0)),y[0][o]>y[1][o])y[0][o]=-1,y[1][o]=1;else {var P=y[1][o]-y[0][o];y[0][o]-=P/32,y[1][o]+=P/32;}if(_=[y[0][o],y[1][o]],_=b(_,l),y[0][o]=_[0],y[1][o]=_[1],l.isReversed()){var z=y[0][o];y[0][o]=y[1][o],y[1][o]=z;}}else _=l.range,y[0][o]=l.r2l(_[0]),y[1][o]=l.r2l(_[1]);y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),v[o]=y[1][o]-y[0][o],l.range=[y[0][o],y[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*p[o],max:l.range[1]*p[o]});}var O=u.aspectmode;if(\"cube\"===O)g=[1,1,1];else if(\"manual\"===O){var D=u.aspectratio;g=[D.x,D.y,D.z];}else {if(\"auto\"!==O&&\"data\"!==O)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var R=[1,1,1];for(o=0;o<3;++o){var F=x[c=(l=u[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o];}g=\"data\"===O||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1];}u.aspectratio.x=h.aspectratio.x=g[0],u.aspectratio.y=h.aspectratio.y=g[1],u.aspectratio.z=h.aspectratio.z=g[2],n.glplot.setAspectratio(u.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:u.aspectratio.x,y:u.aspectratio.y,z:u.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=u.aspectmode);var B=u.domain||null,N=e._size||null;if(B&&N){var j=n.container.style;j.position=\"absolute\",j.left=N.l+B.x[0]*N.w+\"px\",j.top=N.t+(1-B.y[1])*N.h+\"px\",j.width=N.w*(B.x[1]-B.x[0])+\"px\",j.height=N.h*(B.y[1]-B.y[0])+\"px\";}n.glplot.redraw();}},k.destroy=function(){var t=this;t.glplot&&(t.camera.mouseListener.enabled=false,t.container.removeEventListener(\"wheel\",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null);},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:true===t._ortho?\"orthographic\":\"perspective\"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),\"orthographic\"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot());},k.isCameraChanged=function(t){var e=this.getCamera(),r=h.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=false;if(void 0===r)i=true;else {for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=true;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=true);}return i},k.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=h.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},k.saveLayout=function(t){var e,r,n,i,a,o,s=this,l=s.fullLayout,c=s.isCameraChanged(t),f=s.isAspectChanged(t),p=c||f;if(p){var d={};c&&(e=s.getCamera(),n=(r=h.nestedProperty(t,s.id+\".camera\")).get(),d[s.id+\".camera\"]=n),f&&(i=s.glplot.getAspectratio(),o=(a=h.nestedProperty(t,s.id+\".aspectratio\")).get(),d[s.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,l._preGUI,d),c&&(r.set(e),h.nestedProperty(l,s.id+\".camera\").set(e)),f&&(a.set(i),h.nestedProperty(l,s.id+\".aspectratio\").set(i),s.glplot.redraw());}return 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r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=false,this.wheeling=false;}var _=x.prototype;_.plot=function(t,e,r){var n,i=this;n=i.map?new Promise((function(r,n){i.updateMap(t,e,r,n);})):new Promise((function(r,n){i.createMap(t,e,r,n);})),r.push(n);},_.createMap=function(t,e,r,i){var o=this,s=e[o.id],l=o.styleObj=w(s.style),c=s.bounds,u=c?[[c.west,c.south],[c.east,c.north]]:null,h=o.map=new n.Map({container:o.div,style:l.style,center:T(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,maxBounds:u,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:false,boxZoom:false,attributionControl:false}).addControl(new n.AttributionControl({compact:true})),f={};h.on(\"styleimagemissing\",(function(t){var e=t.id;if(!f[e]&&e.includes(\"-15\")){f[e]=true;var r=new Image(15,15);r.onload=function(){h.addImage(e,r);},r.crossOrigin=\"Anonymous\",r.src=\"https://unpkg.com/maki@2.1.0/icons/\"+e+\".svg\";}})),h.setTransformRequest((function(t){return {url:t=(t=(t=t.replace(\"https://fonts.openmaptiles.org/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\")).replace(\"https://tiles.basemaps.cartocdn.com/fonts/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\")).replace(\"https://fonts.openmaptiles.org/Open Sans Regular,Arial Unicode MS Regular\",\"https://fonts.openmaptiles.org/Klokantech Noto Sans Regular\")}})),h._canvas.style.left=\"0px\",h._canvas.style.top=\"0px\",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var p=[];p.push(new Promise((function(t){h.once(\"load\",t);}))),p=p.concat(a.fetchTraceGeoData(t)),Promise.all(p).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r);})).catch(i);},_.updateMap=function(t,e,r,n){var i=this,o=i.map,s=e[this.id];i.rejectOnError(n);var l=[],c=w(s.style);JSON.stringify(i.styleObj)!==JSON.stringify(c)&&(i.styleObj=c,o.setStyle(c.style),i.traceHash={},l.push(new Promise((function(t){o.once(\"styledata\",t);})))),l=l.concat(a.fetchTraceGeoData(t)),Promise.all(l).then((function(){i.fillBelowLookup(t,e),i.updateData(t),i.updateLayout(e),i.resolveOnRender(r);})).catch(n);},_.fillBelowLookup=function(t,e){var r,n,i=e[this.id].layers,a=this.belowLookup={},o=false;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;\"string\"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),\"\"===n&&(o=true),a[\"trace-\"+s.uid]=n||\"\";}for(r=0;r<i.length;r++){var c=i[r];n=\"string\"==typeof c.below?c.below:o?\"traces\":\"\",a[\"layout-\"+r]=n;}var u,h,f={};for(u in a)f[n=a[u]]?f[n].push(u):f[n]=[u];for(n in f){var p=f[n];if(p.length>1)for(r=0;r<p.length;r++)0===(u=p[r]).indexOf(\"trace-\")?(h=u.split(\"trace-\")[1],this.traceHash[h]&&(this.traceHash[h].below=null)):0===u.indexOf(\"layout-\")&&(h=u.split(\"layout-\")[1],this.layerList[h]&&(this.layerList[h].below=null));}};var b={choroplethmap:0,densitymap:1,scattermap:2};function w(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,y.stylesMap[t]?e.style=y.stylesMap[t]:e.style=t):(e.id=y.styleValueDflt,e.style=function(t){return y.styleUrlPrefix+t+\"-\"+y.styleUrlSuffix}(y.styleValueDflt)),e.transition={duration:0,delay:0},e}function T(t){return [t.lon,t.lat]}_.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return b[t[0].trace.type]-b[e[0].trace.type]}));for(n=0;n<o.length;n++){var s=o[n],l=false;(e=a[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=true):e.dispose()),!l&&r._module&&(a[r.uid]=r._module.plot(this,s));}var c=Object.keys(a);t:for(n=0;n<c.length;n++){var u=c[n];for(i=0;i<t.length;i++)if(u===(r=t[i][0].trace).uid)continue t;(e=a[u]).dispose(),delete a[u];}},_.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(T(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.map?e.scrollZoom.enable():e.scrollZoom.disable();},_.resolveOnRender=function(t){var e=this.map;e.on(\"render\",(function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,10));}));},_.rejectOnError=function(t){var e=this.map;function r(){t(new Error(y.mapOnErrorMsg));}e.once(\"error\",r),e.once(\"style.error\",r),e.once(\"source.error\",r),e.once(\"tile.error\",r),e.once(\"layer.error\",r);},_.createFramework=function(t){var e=this,r=e.div=document.createElement(\"div\");r.id=e.uid,r.style.position=\"absolute\",e.container.appendChild(r),e.xaxis={_id:\"x\",c2p:function(t){return e.project(t).x}},e.yaxis={_id:\"y\",c2p:function(t){return e.project(t).y}},e.updateFramework(t),e.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},s.setConvert(e.mockAxis,t);},_.initFx=function(t,e){var r=this,n=r.gd,i=r.map;function a(){c.loneUnhover(e._hoverlayer);}function s(){var t=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(t));}i.on(\"moveend\",(function(t){if(r.map){var e=n._fullLayout;if(t.originalEvent||r.wheeling){var i=e[r.id];o.call(\"_storeDirectGUIEdit\",n.layout,e._preGUI,r.getViewEdits(i));var a=r.getView();i._input.center=i.center=a.center,i._input.zoom=i.zoom=a.zoom,i._input.bearing=i.bearing=a.bearing,i._input.pitch=i.pitch=a.pitch,n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(a));}t.originalEvent&&\"mouseup\"===t.originalEvent.type?r.dragging=false:r.wheeling&&(r.wheeling=false),e&&e._rehover&&e._rehover();}})),i.on(\"wheel\",(function(){r.wheeling=true;})),i.on(\"mousemove\",(function(t){var e=r.div.getBoundingClientRect(),a=[t.originalEvent.offsetX,t.originalEvent.offsetY];t.target.getBoundingClientRect=function(){return e},r.xaxis.p2c=function(){return i.unproject(a).lng},r.yaxis.p2c=function(){return i.unproject(a).lat},n._fullLayout._rehover=function(){n._fullLayout._hoversubplot===r.id&&n._fullLayout[r.id]&&c.hover(n,t,r.id);},c.hover(n,t,r.id),n._fullLayout._hoversubplot=r.id;})),i.on(\"dragstart\",(function(){r.dragging=true,a();})),i.on(\"zoomstart\",a),i.on(\"mouseout\",(function(){n._fullLayout._hoversubplot=null;})),i.on(\"drag\",s),i.on(\"zoom\",s),i.on(\"dblclick\",(function(){var t=n._fullLayout[r.id];o.call(\"_storeDirectGUIEdit\",n.layout,n._fullLayout._preGUI,r.getViewEdits(t));var e=r.viewInitial;i.setCenter(T(e.center)),i.setZoom(e.zoom),i.setBearing(e.bearing),i.setPitch(e.pitch);var a=r.getView();t._input.center=t.center=a.center,t._input.zoom=t.zoom=a.zoom,t._input.bearing=t.bearing=a.bearing,t._input.pitch=t.pitch=a.pitch,n.emit(\"plotly_doubleclick\",null),n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(a));})),r.clearOutline=function(){m(r.dragOptions),d(r.dragOptions.gd);},r.onClickInPanFn=function(t){return function(e){var i=n._fullLayout.clickmode;i.indexOf(\"select\")>-1&&g(e.originalEvent,n,[r.xaxis],[r.yaxis],r.id,t),i.indexOf(\"event\")>-1&&c.click(n,e.originalEvent);}};},_.updateFx=function(t){var e=this,r=e.map,n=e.gd;if(!e.isStatic){var a,o=t.dragmode;a=function(t,r){r.isRect?(t.range={})[e.id]=[c([r.xmin,r.ymin]),c([r.xmax,r.ymax])]:(t.lassoPoints={})[e.id]=r.map(c);};var s=e.dragOptions;e.dragOptions=i.extendDeep(s||{},{dragmode:t.dragmode,element:e.div,gd:n,plotinfo:{id:e.id,domain:t[e.id].domain,xaxis:e.xaxis,yaxis:e.yaxis,fillRangeItems:a},xaxes:[e.xaxis],yaxes:[e.yaxis],subplot:e.id}),r.off(\"click\",e.onClickInPanHandler),f(o)||h(o)?(r.dragPan.disable(),r.on(\"zoomstart\",e.clearOutline),e.dragOptions.prepFn=function(t,r,n){p(t,r,n,e.dragOptions,o);},l.init(e.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",e.clearOutline),e.div.onmousedown=null,e.div.ontouchstart=null,e.div.removeEventListener(\"touchstart\",e.div._ontouchstart),e.onClickInPanHandler=e.onClickInPanFn(e.dragOptions),r.on(\"click\",e.onClickInPanHandler));}function c(t){var r=e.map.unproject(t);return [r.lng,r.lat]}},_.updateFramework=function(t){var e=t[this.id].domain,r=t._size,n=this.div.style;n.width=r.w*(e.x[1]-e.x[0])+\"px\",n.height=r.h*(e.y[1]-e.y[0])+\"px\",n.left=r.l+e.x[0]*r.w+\"px\",n.top=r.t+(1-e.y[1])*r.h+\"px\",this.xaxis._offset=r.l+e.x[0]*r.w,this.xaxis._length=r.w*(e.x[1]-e.x[0]),this.yaxis._offset=r.t+(1-e.y[1])*r.h,this.yaxis._length=r.h*(e.y[1]-e.y[0]);},_.updateLayers=function(t){var e,r=t[this.id].layers,n=this.layerList;if(r.length!==n.length){for(e=0;e<n.length;e++)n[e].dispose();for(n=this.layerList=[],e=0;e<r.length;e++)n.push(v(this,e,r[e]));}else for(e=0;e<r.length;e++)n[e].update(r[e]);},_.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div));},_.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()},_.setOptions=function(t,e,r){for(var n in r)this.map[e](t,n,r[n]);},_.getMapLayers=function(){return this.map.getStyle().layers},_.addLayer=function(t,e){var r=this.map;if(\"string\"==typeof e){if(\"\"===e)return void r.addLayer(t,e);for(var n=this.getMapLayers(),a=0;a<n.length;a++)if(e===n[a].id)return void r.addLayer(t,e);i.warn([\"Trying to add layer with *below* value\",e,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"));}r.addLayer(t);},_.project=function(t){return this.map.project(new n.LngLat(t[0],t[1]))},_.getView=function(){var t=this.map,e=t.getCenter(),r={lon:e.lng,lat:e.lat},n=t.getCanvas(),i=parseInt(n.style.width),a=parseInt(n.style.height);return {center:r,zoom:t.getZoom(),bearing:t.getBearing(),pitch:t.getPitch(),_derived:{coordinates:[t.unproject([0,0]).toArray(),t.unproject([i,0]).toArray(),t.unproject([i,a]).toArray(),t.unproject([0,a]).toArray()]}}},_.getViewEdits=function(t){for(var e=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[e+\".\"+a]=t[a];}return n},_.getViewEditsWithDerived=function(t){var e=this.id,r=this.getViewEdits(t);return r[e+\"._derived\"]=t._derived,r},t.exports=x;},44245:function(t,e,r){var n=r(62994),i=\"1.13.4\",a='© <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',o=['© <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',a].join(\" \"),s=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" \"),l={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:a,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}],glyphs:\"https://fonts.openmaptiles.org/{fontstack}/{range}.pbf\"},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}],glyphs:\"https://fonts.openmaptiles.org/{fontstack}/{range}.pbf\"},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:o,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}],glyphs:\"https://fonts.openmaptiles.org/{fontstack}/{range}.pbf\"},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:o,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}],glyphs:\"https://fonts.openmaptiles.org/{fontstack}/{range}.pbf\"},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:s,tiles:[\"https://tiles.stadiamaps.com/tiles/stamen_terrain/{z}/{x}/{y}.png?api_key=\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}],glyphs:\"https://fonts.openmaptiles.org/{fontstack}/{range}.pbf\"},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:s,tiles:[\"https://tiles.stadiamaps.com/tiles/stamen_toner/{z}/{x}/{y}.png?api_key=\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}],glyphs:\"https://fonts.openmaptiles.org/{fontstack}/{range}.pbf\"},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by-sa/3.0\">CC BY SA</a>'].join(\" \"),tiles:[\"https://tiles.stadiamaps.com/tiles/stamen_watercolor/{z}/{x}/{y}.jpg?api_key=\"],tileSize:256}},layers:[{id:\"plotly-stamen-watercolor\",type:\"raster\",source:\"plotly-stamen-watercolor\",minzoom:0,maxzoom:22}],glyphs:\"https://fonts.openmaptiles.org/{fontstack}/{range}.pbf\"}},c=n(l);t.exports={requiredVersion:i,styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",styleValuesMapbox:[\"basic\",\"streets\",\"outdoors\",\"light\",\"dark\",\"satellite\",\"satellite-streets\"],styleValueDflt:\"basic\",stylesNonMapbox:l,styleValuesNonMapbox:c,traceLayerPrefix:\"plotly-trace-layer-\",layoutLayerPrefix:\"plotly-layout-layer-\",wrongVersionErrorMsg:[\"Your custom plotly.js bundle is not using the correct mapbox-gl version\",\"Please install @plotly/mapbox-gl@\"+i+\".\"].join(\"\\n\"),noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\"  Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),missingStyleErrorMsg:[\"No valid mapbox style found, please set `mapbox.style` to one of:\",c.join(\", \"),\"or register a Mapbox access token to use a Mapbox-served style.\"].join(\"\\n\"),multipleTokensErrorMsg:[\"Set multiple mapbox access token across different mapbox subplot,\",\"using first token found as mapbox-gl does not allow multipleaccess tokens on the same page.\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\",mapboxLogo:{path0:\"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 0.14,6.52 z\",path1:\"M 10.5,-0.01 C 4.7,-0.01 0,4.7 0,10.49 c 0,5.79 4.7,10.5 10.5,10.5 5.8,0 10.5,-4.7 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e,r,s=this,c=s.isSmith,u=s.gd,h=s.layers,f=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,m=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,C=s.sectorInRad,L=s.vangles,I=s.radialAxis,P=E.clampTiny,z=E.findXYatLength,O=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(h,\"path\",\"maindrag\",false===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){v.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id;},F.onmouseout=function(t){u._dragging||y.unhover(u,t);};var B,N,j,U,V,q,H,G,Z,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function Y(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return Y(t-A,e-M)}function $(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return [t*Math.cos(e),t*Math.sin(-e)]}function K(t,e){if(0===t)return s.pathSector(2*D);var 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o,s=a[e],l=s[0],c=l.trace,u=l.t,h=c._offset||c.offset,f=u.poffset;if(i(h)){for(o=Array.prototype.slice.call(h,0,s.length),r=0;r<o.length;r++)n(o[r])||(o[r]=f);for(r=o.length;r<s.length;r++)o.push(f);u.poffset=o;}else void 0!==h&&(u.poffset=h);var p=c._width||c.width,d=u.barwidth;if(i(p)){var m=Array.prototype.slice.call(p,0,s.length);for(r=0;r<m.length;r++)n(m[r])||(m[r]=d);for(r=m.length;r<s.length;r++)m.push(d);if(u.barwidth=m,void 0===h){for(o=[],r=0;r<s.length;r++)o.push(f+(d-m[r])/2);u.poffset=o;}}else void 0!==p&&(u.barwidth=p,void 0===h&&(u.poffset=f+(d-p)/2));}}function d(t,e){for(var r=e.traces,n=x(t),a=0;a<r.length;a++)for(var o=r[a],s=o[0].t,l=s.poffset,c=i(l),u=s.barwidth,h=i(u),f=0;f<o.length;f++){var p=o[f],d=p.w=h?u[f]:u;void 0===p.p&&(p.p=p[n],p[\"orig_\"+n]=p[n]);var m=(c?l[f]:l)+d/2;p[n]=p.p+m;}}function m(t,e,r){var n=e.traces,a=e.minDiff/2;s.minDtick(t,e.minDiff,e.distinctPositions[0],r);for(var o=0;o<n.length;o++){var l,c,u,h,f=n[o],p=f[0],d=p.trace,m=[];for(h=0;h<f.length;h++)c=(l=f[h]).p-a,u=l.p+a,m.push(c,u);if(d.width||d.offset){var g=p.t,y=g.poffset,v=g.barwidth,x=i(y),_=i(v);for(h=0;h<f.length;h++){l=f[h];var b=x?y[h]:y,w=_?v[h]:v;u=(c=l.p+b)+w,m.push(c,u);}}d._extremes[t._id]=s.findExtremes(t,m,{padded:false});}}function g(t,e){for(var r=e.traces,n=x(t),i=0;i<r.length;i++){for(var a=r[i],o=a[0].trace,l=\"scatter\"===o.type,c=\"v\"===o.orientation,u=[],h=false,f=0;f<a.length;f++){var p=a[f],d=l?0:p.b,m=l?c?p.y:p.x:d+p.s;p[n]=m,u.push(m),p.hasB&&u.push(d),p.hasB&&p.b||(h=true);}o._extremes[t._id]=s.findExtremes(t,u,{tozero:h,padded:true});}}function y(t){for(var e=t.traces,r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var o=n[i];o.s!==a&&t.put(o.p,o.b+o.s);}}function v(t,e,r){var i=e.traces,o=x(t),l=\"fraction\"===r.norm?1:100,c=l/1e9,u=t.l2c(t.c2l(0)),h=\"stack\"===r.mode?l:u;function f(e){return n(t.c2l(e))&&(e<u-c||e>h+c||!n(u))}for(var p=0;p<i.length;p++){for(var 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B=g[t.index],N=y.base?B.b+B.s:B.s;t[f+\"0\"]=t[f+\"1\"]=R.c2p(B[f],true),t[f+\"LabelVal\"]=N;var j=v.extents[v.extents.round(B.p)];t[h+\"0\"]=D.c2p(x?C(B):j[0],true),t[h+\"1\"]=D.c2p(x?L(B):j[1],true);var U=void 0!==B.orig_p;return t[h+\"LabelVal\"]=U?B.orig_p:B.p,t.labelLabel=l(D,t[h+\"LabelVal\"],y[h+\"hoverformat\"]),t.valueLabel=l(R,t[f+\"LabelVal\"],y[f+\"hoverformat\"]),t.baseLabel=l(R,B.b,y[f+\"hoverformat\"]),t.spikeDistance=(function(t){var e=u,r=t.b,i=z(t);return n.inbox(r-e,i-e,w+(i-e)/(i-r)-1)}(B)+function(t){return I(A(t),M(t),w)}(B))/2,t[h+\"Spike\"]=D.c2p(B.p,true),o(B,y,t),t.hovertemplate=y.hovertemplate,t}}function h(t,e){var r=e.mcc||t.marker.color,n=e.mlcc||t.marker.line.color,i=s(t,e);return a.opacity(r)?r:a.opacity(n)&&i?n:void 0}t.exports={hoverPoints:function(t,e,r,n,a){var o=u(t,e,r,n,a);if(o){var s=o.cd,l=s[0].trace,c=s[o.index];return 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n=r(33626),i=r(29714),a=r(34809),o=r(25412),s=r(17550).validateCornerradius;t.exports=function(t,e,r){function l(r,n){return a.coerce(t,e,o,r,n)}for(var c=false,u=false,h=false,f={},p=l(\"barmode\"),d=0;d<r.length;d++){var m=r[d];if(n.traceIs(m,\"bar\")&&m.visible){if(c=true,\"group\"===p){var g=m.xaxis+m.yaxis;f[g]&&(h=true),f[g]=true;}m.visible&&\"histogram\"===m.type&&\"category\"!==i.getFromId({_fullLayout:e},m[\"v\"===m.orientation?\"xaxis\":\"yaxis\"]).type&&(u=true);}}if(c){\"overlay\"!==p&&l(\"barnorm\"),l(\"bargap\",u&&!h?0:.2),l(\"bargroupgap\");var y=l(\"barcornerradius\");e.barcornerradius=s(y);}else delete e.barmode;};},32995:function(t,e,r){var n=r(45568),i=r(10721),a=r(34809),o=r(30635),s=r(78766),l=r(62203),c=r(33626),u=r(29714).tickText,h=r(84102),f=h.recordMinTextSize,p=h.clearMinTextSize,d=r(6851),m=r(42843),g=r(56155),y=r(81481),v=y.text,x=y.textposition,_=r(36040).appendArrayPointValue,b=g.TEXTPAD;function w(t){return t.id}function T(t){if(t.ids)return w}function 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c,u,h,f,p=Math.max(0,Math.abs(e-t)-2*b),d=Math.max(0,Math.abs(n-r)-2*b),m=a-b,g=o?m-Math.sqrt(m*m-(m-o)*(m-o)):m,y=l?2*m:s?m-o:2*g,v=l?2*m:s?2*g:m-o;return i.y/i.x>=d/(p-y)?f=d/i.y:i.y/i.x<=(d-v)/p?f=p/i.x:!l&&s?(c=i.x*i.x+i.y*i.y/4,h=(p-m)*(p-m)+(d/2-m)*(d/2-m)-m*m,f=(-(u=-2*i.x*(p-m)-i.y*(d/2-m))+Math.sqrt(u*u-4*c*h))/(2*c)):l?(c=(i.x*i.x+i.y*i.y)/4,h=(p/2-m)*(p/2-m)+(d/2-m)*(d/2-m)-m*m,f=(-(u=-i.x*(p/2-m)-i.y*(d/2-m))+Math.sqrt(u*u-4*c*h))/(2*c)):(c=i.x*i.x/4+i.y*i.y,h=(p/2-m)*(p/2-m)+(d-m)*(d-m)-m*m,f=(-(u=-i.x*(p/2-m)-2*i.y*(d-m))+Math.sqrt(u*u-4*c*h))/(2*c)),{scale:f=Math.min(1,f),pad:s?Math.max(0,m-Math.sqrt(Math.max(0,m*m-(m-(d-i.y*f)/2)*(m-(d-i.y*f)/2)))-o):Math.max(0,m-Math.sqrt(Math.max(0,m*m-(m-(p-i.x*f)/2)*(m-(p-i.x*f)/2)))-o)}}(t,e,r,n,S,m,g,o,d);k=E.scale,M=E.pad;}else k=1,s&&(k=Math.min(1,x/S.x,_/S.y)),M=0;var I=i.left*p+i.right*f,P=(i.top+i.bottom)/2,z=(t+b)*p+(e-b)*f,O=(r+n)/2,D=0,R=0;if(h||u){var F=(o?S.x:S.y)/2;m&&(u||d)&&(w+=M);var B=o?A(t,e):A(r,n);o?h?(z=t+B*w,D=-B*F):(z=e-B*w,D=B*F):h?(O=r+B*w,R=-B*F):(O=n-B*w,R=B*F);}return {textX:I,textY:P,targetX:z,targetY:O,anchorX:D,anchorY:R,scale:k,rotate:T}}t.exports={plot:function(t,e,r,h,g,y){var w=e.xaxis,P=e.yaxis,z=t._fullLayout,O=t._context.staticPlot;g||(g={mode:z.barmode,norm:z.barmode,gap:z.bargap,groupgap:z.bargroupgap},p(\"bar\",z));var D=a.makeTraceGroups(h,r,\"trace bars\").each((function(r){var c=n.select(this),h=r[0].trace,p=r[0].t,D=\"waterfall\"===h.type,R=\"funnel\"===h.type,F=\"histogram\"===h.type,B=\"bar\"===h.type,N=B||R,j=0;D&&h.connector.visible&&\"between\"===h.connector.mode&&(j=h.connector.line.width/2);var U=\"h\"===h.orientation,V=S(g),q=a.ensureSingle(c,\"g\",\"points\"),H=T(h),G=q.selectAll(\"g.point\").data(a.identity,H);G.enter().append(\"g\").classed(\"point\",true),G.exit().remove(),G.each((function(c,T){var S,D,R=n.select(this),q=function(t,e,r,n){var i=[],a=[],o=n?e:r,s=n?r:e;return i[0]=o.c2p(t.s0,true),a[0]=s.c2p(t.p0,true),i[1]=o.c2p(t.s1,true),a[1]=s.c2p(t.p1,true),n?[i,a]:[a,i]}(c,w,P,U),H=q[0][0],G=q[0][1],Z=q[1][0],W=q[1][1],Y=0==(U?G-H:W-Z);if(Y&&N&&m.getLineWidth(h,c)&&(Y=false),Y||(Y=!(i(H)&&i(G)&&i(Z)&&i(W))),c.isBlank=Y,Y&&(U?G=H:W=Z),j&&!Y&&(U?(H-=A(H,G)*j,G+=A(H,G)*j):(Z-=A(Z,W)*j,W+=A(Z,W)*j)),\"waterfall\"===h.type){if(!Y){var X=h[c.dir].marker;S=X.line.width,D=X.color;}}else S=m.getLineWidth(h,c),D=c.mc||h.marker.color;function $(t){var e=n.round(S/2%1,2);return 0===g.gap&&0===g.groupgap?n.round(Math.round(t)-e,2):t}var J=s.opacity(D)<1||S>.01?$:function(t,e,r){return r&&t===e?t:Math.abs(t-e)>=2?$(t):t>e?Math.ceil(t):Math.floor(t)};t._context.staticPlot||(H=J(H,G,U),G=J(G,H,U),Z=J(Z,W,!U),W=J(W,Z,!U));var K,Q=U?w.c2p:P.c2p;K=c.s0>0?c._sMax:c.s0<0?c._sMin:c.s1>0?c._sMax:c._sMin;var tt,et,rt=B||F?function(t,e){if(!t)return 0;var r,n=U?Math.abs(W-Z):Math.abs(G-H),i=U?Math.abs(G-H):Math.abs(W-Z),a=J(Math.abs(Q(K,true)-Q(0,true))),o=c.hasB?Math.min(n/2,i/2):Math.min(n/2,a);return r=\"%\"===e?n*(Math.min(50,t)/100):t,J(Math.max(Math.min(r,o),0))}(p.cornerradiusvalue,p.cornerradiusform):0,nt=\"M\"+H+\",\"+Z+\"V\"+W+\"H\"+G+\"V\"+Z+\"Z\",it=0;if(rt&&c.s){var at=0===k(c.s0)||k(c.s)===k(c.s0)?c.s1:c.s0;if((it=J(c.hasB?0:Math.abs(Q(K,true)-Q(at,true))))<rt){var ot=A(H,G),st=A(Z,W),lt=ot===-st?1:0;if(U)if(c.hasB)tt=\"M\"+(H+rt*ot)+\",\"+Z+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+H+\",\"+(Z+rt*st)+\"V\"+(W-rt*st)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+(H+rt*ot)+\",\"+W+\"H\"+(G-rt*ot)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+G+\",\"+(W-rt*st)+\"V\"+(Z+rt*st)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+(G-rt*ot)+\",\"+Z+\"Z\";else {var ct=(et=Math.abs(G-H)+it)<rt?rt-Math.sqrt(et*(2*rt-et)):0,ut=it>0?Math.sqrt(it*(2*rt-it)):0,ht=ot>0?Math.max:Math.min;tt=\"M\"+H+\",\"+Z+\"V\"+(W-ct*st)+\"H\"+ht(G-(rt-it)*ot,H)+\"A \"+rt+\",\"+rt+\" 0 0 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mt=M(a.ensureSingle(R,\"path\"),z,g,y);if(mt.style(\"vector-effect\",O?\"none\":\"non-scaling-stroke\").attr(\"d\",isNaN((G-H)*(W-Z))||Y&&t._context.staticPlot?\"M0,0Z\":tt).call(l.setClipUrl,e.layerClipId,t),!z.uniformtext.mode&&V){var gt=l.makePointStyleFns(h);l.singlePointStyle(c,mt,h,gt,t);}!function(t,e,r,n,i,s,c,h,p,g,y,w,T){var k,S=e.xaxis,P=e.yaxis,z=t._fullLayout;function O(e,r,n){return a.ensureSingle(e,\"text\").text(r).attr({class:\"bartext bartext-\"+k,\"text-anchor\":\"middle\",\"data-notex\":1}).call(l.font,n).call(o.convertToTspans,t)}var D=n[0].trace,R=\"h\"===D.orientation,F=function(t,e,r,n,i){var o,s=e[0].trace;return o=s.texttemplate?function(t,e,r,n,i){var o=e[0].trace,s=a.castOption(o,r,\"texttemplate\");if(!s)return \"\";var l,c,h,f,p=\"histogram\"===o.type,d=\"waterfall\"===o.type,m=\"funnel\"===o.type,g=\"h\"===o.orientation;function y(t){return u(f,f.c2l(t),true).text}g?(l=\"y\",c=i,h=\"x\",f=n):(l=\"x\",c=n,h=\"y\",f=i);var 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i=t[0].trace,o=\"h\"===i.orientation,s=\"waterfall\"===i.type,l=\"funnel\"===i.type;function c(t){return u(o?r:n,+t,true).text}var h,f,p=i.textinfo,d=t[e],m=p.split(\"+\"),g=[],y=function(t){return  -1!==m.indexOf(t)};if(y(\"label\")&&g.push((f=t[e].p,u(o?n:r,f,true).text)),y(\"text\")&&(0===(h=a.castOption(i,d.i,\"text\"))||h)&&g.push(h),s){var v=+d.rawS||d.s,x=d.v,_=x-v;y(\"initial\")&&g.push(c(_)),y(\"delta\")&&g.push(c(v)),y(\"final\")&&g.push(c(x));}if(l){y(\"value\")&&g.push(c(d.s));var b=0;y(\"percent initial\")&&b++,y(\"percent previous\")&&b++,y(\"percent total\")&&b++;var w=b>1;y(\"percent initial\")&&(h=a.formatPercent(d.begR),w&&(h+=\" of initial\"),g.push(h)),y(\"percent previous\")&&(h=a.formatPercent(d.difR),w&&(h+=\" of previous\"),g.push(h)),y(\"percent total\")&&(h=a.formatPercent(d.sumR),w&&(h+=\" of total\"),g.push(h));}return g.join(\"<br>\")}(e,r,n,i):m.getValue(s.text,r),m.coerceString(v,o)}(z,n,i,S,P);k=function(t,e){var r=m.getValue(t.textposition,e);return m.coerceEnumerated(x,r)}(D,i);var B=\"stack\"===w.mode||\"relative\"===w.mode,N=n[i],j=!B||N._outmost,U=N.hasB,V=g&&g-y>b;if(F&&\"none\"!==k&&(!N.isBlank&&s!==c&&h!==p||\"auto\"!==k&&\"inside\"!==k)){var q=z.font,H=d.getBarColor(n[i],D),G=d.getInsideTextFont(D,i,q,H),Z=d.getOutsideTextFont(D,i,q),W=D.insidetextanchor||\"end\",Y=r.datum();R?\"log\"===S.type&&Y.s0<=0&&(s=S.range[0]<S.range[1]?0:S._length):\"log\"===P.type&&Y.s0<=0&&(h=P.range[0]<P.range[1]?P._length:0);var X,$,J,K,Q,tt=Math.abs(c-s),et=Math.abs(p-h),rt=tt-2*b,nt=et-2*b;if(\"outside\"===k&&(j||N.hasB||(k=\"inside\")),\"auto\"===k)if(j){k=\"inside\",X=O(r,F,Q=a.ensureUniformFontSize(t,G)),J=($=l.bBox(X.node())).width,K=$.height;var it,at=J>0&&K>0;it=V?U?E(rt-2*g,nt,J,K,R)||E(rt,nt-2*g,J,K,R):R?E(rt-(g-y),nt,J,K,R)||E(rt,nt-2*(g-y),J,K,R):E(rt,nt-(g-y),J,K,R)||E(rt-2*(g-y),nt,J,K,R):E(rt,nt,J,K,R),at&&it?k=\"inside\":(k=\"outside\",X.remove(),X=null);}else k=\"inside\";if(!X){var ot=(X=O(r,F,Q=a.ensureUniformFontSize(t,\"outside\"===k?Z:G))).attr(\"transform\");if(X.attr(\"transform\",\"\"),J=($=l.bBox(X.node())).width,K=$.height,X.attr(\"transform\",ot),J<=0||K<=0)return void X.remove()}var st,lt=D.textangle;st=\"outside\"===k?function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,c=a.angle||0,u=i.width,h=i.height,f=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*b?b:0:f>2*b?b:0;var d=1;l&&(d=s?Math.min(1,p/h):Math.min(1,f/u));var m=C(c),g=L(i,m),y=(s?g.x:g.y)/2,v=(i.left+i.right)/2,x=(i.top+i.bottom)/2,_=(t+e)/2,w=(r+n)/2,T=0,k=0,M=s?A(e,t):A(r,n);return s?(_=e-M*o,T=M*y):(w=n+M*o,k=-M*y),{textX:v,textY:x,targetX:_,targetY:w,anchorX:T,anchorY:k,scale:d,rotate:m}}(s,c,h,p,$,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"outside\"===D.constraintext,angle:lt}):I(s,c,h,p,$,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"inside\"===D.constraintext,angle:lt,anchor:W,hasB:U,r:g,overhead:y}),st.fontSize=Q.size,f(\"histogram\"===D.type?\"bar\":D.type,st,z),N.transform=st;var ct=M(X,z,w,T);a.setTransormAndDisplay(ct,st);}else r.select(\"text\").remove();}(t,e,R,r,T,H,G,Z,W,rt,it,g,y),e.layerClipId&&l.hideOutsideRangePoint(c,R.select(\"text\"),w,P,h.xcalendar,h.ycalendar);}));var Z=false===h.cliponaxis;l.setClipUrl(c,Z?null:e.layerClipId,t);}));c.getComponentMethod(\"errorbars\",\"plot\")(t,D,e,g);},toMoveInsideBar:I};},88384:function(t){function e(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,true),o=e.c2p(n?t.s1:t.p1,true),s=r.c2p(n?t.p0:t.s0,true),l=r.c2p(n?t.p1:t.s1,true);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}t.exports=function(t,r){var n,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l=\"funnel\"===s.type,c=\"h\"===s.orientation,u=[];if(false===r)for(n=0;n<i.length;n++)i[n].selected=0;else for(n=0;n<i.length;n++){var h=i[n],f=\"ct\"in h?h.ct:e(h,a,o,c,l);r.contains(f,false,n,t)?(u.push({pointNumber:n,x:a.c2d(h.x),y:o.c2d(h.y)}),h.selected=1):h.selected=0;}return u};},2880:function(t,e,r){t.exports=i;var n=r(34809).distinctVals;function i(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,i=e.posAxis._id.charAt(0),a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var c=s[l],u=c.p;void 0===u&&(u=c[i]),void 0!==u&&a.push(u);}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r));}this.positions=a;var h=n(a);this.distinctPositions=h.vals,1===h.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(h.minDiff,r);var f=(e.posAxis||{}).type;\"category\"!==f&&\"multicategory\"!==f||(this.minDiff=1),this.binWidth=this.minDiff,this.bins={};}i.prototype.put=function(t,e){var r=this.getLabel(t,e),n=this.bins[r]||0;return this.bins[r]=n+e,n},i.prototype.get=function(t,e){var r=this.getLabel(t,e);return this.bins[r]||0},i.prototype.getLabel=function(t,e){return (e<0&&this.sepNegVal?\"v\":\"^\")+(this.overlapNoMerge?t:Math.round(t/this.binWidth))};},6851:function(t,e,r){var n=r(45568),i=r(78766),a=r(62203),o=r(34809),s=r(33626),l=r(84102).resizeText,c=r(81481),u=c.textfont,h=c.insidetextfont,f=c.outsidetextfont,p=r(42843);function d(t,e,r){a.pointStyle(t.selectAll(\"path\"),e,r),m(t,e,r);}function m(t,e,r){t.selectAll(\"text\").each((function(t){var i=n.select(this),s=o.ensureUniformFontSize(r,g(i,t,e,r));a.font(i,s);}));}function g(t,e,r,n){var i=n._fullLayout.font,a=r.textfont;if(t.classed(\"bartext-inside\")){var o=b(e,r);a=v(r,e.i,i,o);}else t.classed(\"bartext-outside\")&&(a=x(r,e.i,i));return a}function y(t,e,r){return _(u,t.textfont,e,r)}function v(t,e,r,n){var a=y(t,e,r);return (void 0===t._input.textfont||void 0===t._input.textfont.color||Array.isArray(t.textfont.color)&&void 0===t.textfont.color[e])&&(a={color:i.contrast(n),family:a.family,size:a.size,weight:a.weight,style:a.style,variant:a.variant,textcase:a.textcase,lineposition:a.lineposition,shadow:a.shadow}),_(h,t.insidetextfont,e,a)}function x(t,e,r){var n=y(t,e,r);return _(f,t.outsidetextfont,e,n)}function _(t,e,r,n){e=e||{};var i=p.getValue(e.family,r),a=p.getValue(e.size,r),o=p.getValue(e.color,r),s=p.getValue(e.weight,r),l=p.getValue(e.style,r),c=p.getValue(e.variant,r),u=p.getValue(e.textcase,r),h=p.getValue(e.lineposition,r),f=p.getValue(e.shadow,r);return {family:p.coerceString(t.family,i,n.family),size:p.coerceNumber(t.size,a,n.size),color:p.coerceColor(t.color,o,n.color),weight:p.coerceString(t.weight,s,n.weight),style:p.coerceString(t.style,l,n.style),variant:p.coerceString(t.variant,c,n.variant),textcase:p.coerceString(t.variant,u,n.textcase),lineposition:p.coerceString(t.variant,h,n.lineposition),shadow:p.coerceString(t.variant,f,n.shadow)}}function b(t,e){return \"waterfall\"===e.type?e[t.dir].marker.color:t.mcc||t.mc||e.marker.color}t.exports={style:function(t){var e=n.select(t).selectAll('g[class^=\"barlayer\"]').selectAll(\"g.trace\");l(t,e,\"bar\");var r=e.size(),i=t._fullLayout;e.style(\"opacity\",(function(t){return 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n=r(10721),i=r(29714),a=r(40528),o=r(34809),s=r(63821).BADNUM,l=o._;t.exports=function(t,e){var r,c,v,x,_,b,w,T=t._fullLayout,k=i.getFromId(t,e.xaxis||\"x\"),A=i.getFromId(t,e.yaxis||\"y\"),M=[],S=\"violin\"===e.type?\"_numViolins\":\"_numBoxes\";\"h\"===e.orientation?(v=k,x=\"x\",_=A,b=\"y\",w=!!e.yperiodalignment):(v=A,x=\"y\",_=k,b=\"x\",w=!!e.xperiodalignment);var E,C,L,I,P,z,O=function(t,e,r,i){var s,l=e+\"0\"in t;if(e in t||l&&\"d\"+e in t){var c=r.makeCalcdata(t,e);return [a(t,r,e,c).vals,c]}s=l?t[e+\"0\"]:\"name\"in t&&(\"category\"===r.type||n(t.name)&&-1!==[\"linear\",\"log\"].indexOf(r.type)||o.isDateTime(t.name)&&\"date\"===r.type)?t.name:i;for(var u=\"multicategory\"===r.type?r.r2c_just_indices(s):r.d2c(s,0,t[e+\"calendar\"]),h=t._length,f=new Array(h),p=0;p<h;p++)f[p]=u;return [f]}(e,b,_,T[S]),D=O[0],R=O[1],F=o.distinctVals(D,_),B=F.vals,N=F.minDiff/2,j=\"all\"===(e.boxpoints||e.points)?o.identity:function(t){return t.v<E.lf||t.v>E.uf};if(e._hasPreCompStats){var 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ut,ht;(E={}).pos=E[b]=B[r],C=E.pts=nt[r].sort(h),I=(L=E[x]=C.map(f)).length,E.min=L[0],E.max=L[I-1],E.mean=o.mean(L,I),E.sd=o.stdev(L,I,E.mean)*e.sdmultiple,E.med=o.interp(L,.5),I%2&&(lt||ct)?(lt?(ut=L.slice(0,I/2),ht=L.slice(I/2+1)):ct&&(ut=L.slice(0,I/2+1),ht=L.slice(I/2)),E.q1=o.interp(ut,.5),E.q3=o.interp(ht,.5)):(E.q1=o.interp(L,.25),E.q3=o.interp(L,.75)),E.lf=p(E,L,I),E.uf=d(E,L,I),E.lo=m(E),E.uo=g(E);var ft=y(E,I);E.ln=E.med-ft,E.un=E.med+ft,at=Math.min(at,E.ln),ot=Math.max(ot,E.un),E.pts2=C.filter(j),M.push(E);}e.notched&&o.isTypedArray(tt)&&(tt=Array.from(tt)),e._extremes[v._id]=i.findExtremes(v,e.notched?tt.concat([at,ot]):tt,{padded:true});}return function(t,e){if(o.isArrayOrTypedArray(e.selectedpoints))for(var r=0;r<t.length;r++){for(var n=t[r].pts||[],i={},a=0;a<n.length;a++)i[n[a].i]=a;o.tagSelected(n,e,i);}}(M,e),M.length>0?(M[0].t={num:T[S],dPos:N,posLetter:b,valLetter:x,labels:{med:l(t,\"median:\"),min:l(t,\"min:\"),q1:l(t,\"q1:\"),q3:l(t,\"q3:\"),max:l(t,\"max:\"),mean:\"sd\"===e.boxmean||\"sd\"===e.sizemode?l(t,\"mean ± σ:\").replace(\"σ\",1===e.sdmultiple?\"σ\":e.sdmultiple+\"σ\"):l(t,\"mean:\"),lf:l(t,\"lower fence:\"),uf:l(t,\"upper fence:\")}},T[S]++,M):[{t:{empty:true}}]};var c={text:\"tx\",hovertext:\"htx\"};function u(t,e,r){for(var n in c)o.isArrayOrTypedArray(e[n])&&(Array.isArray(r)?o.isArrayOrTypedArray(e[n][r[0]])&&(t[c[n]]=e[n][r[0]][r[1]]):t[c[n]]=e[n][r]);}function h(t,e){return t.v-e.v}function f(t){return t.v}function p(t,e,r){return 0===r?t.q1:Math.min(t.q1,e[Math.min(o.findBin(2.5*t.q1-1.5*t.q3,e,true)+1,r-1)])}function d(t,e,r){return 0===r?t.q3:Math.max(t.q3,e[Math.max(o.findBin(2.5*t.q3-1.5*t.q1,e),0)])}function m(t){return 4*t.q1-3*t.q3}function g(t){return 4*t.q3-3*t.q1}function y(t,e){return 0===e?0:1.57*(t.q3-t.q1)/Math.sqrt(e)}},81606:function(t,e,r){var n=r(29714),i=r(34809),a=r(84391).getAxisGroup,o=[\"v\",\"h\"];function s(t,e,r,o){var s,l,c,u=e.calcdata,h=e._fullLayout,f=o._id,p=f.charAt(0),d=[],m=0;for(s=0;s<r.length;s++)for(c=u[r[s]],l=0;l<c.length;l++)d.push(o.c2l(c[l].pos,true)),m+=(c[l].pts2||[]).length;if(d.length){var g=i.distinctVals(d);\"category\"!==o.type&&\"multicategory\"!==o.type||(g.minDiff=1);var y=g.minDiff/2;n.minDtick(o,g.minDiff,g.vals[0],true);var v=h[\"violin\"===t?\"_numViolins\":\"_numBoxes\"],x=\"group\"===h[t+\"mode\"]&&v>1,_=1-h[t+\"gap\"],b=1-h[t+\"groupgap\"];for(s=0;s<r.length;s++){var w,T,k,A,M,S,E=(c=u[r[s]])[0].trace,C=c[0].t,L=E.width,I=E.side;if(L)w=T=A=L/2,k=0;else if(w=y,x){var P=a(h,o._id)+E.orientation,z=(h._alignmentOpts[P]||{})[E.alignmentgroup]||{},O=Object.keys(z.offsetGroups||{}).length,D=O||v;T=w*_*b/D,k=2*w*(((O?E._offsetIndex:C.num)+.5)/D-.5)*_,A=w*_/D;}else T=w*_*b,k=0,A=w;C.dPos=w,C.bPos=k,C.bdPos=T,C.wHover=A;var R,F,B,N,j,U,V=k+T,q=Boolean(L);if(\"positive\"===I?(M=w*(L?1:.5),R=V,S=R=k):\"negative\"===I?(M=R=k,S=w*(L?1:.5),F=V):(M=S=w,R=F=V),(E.boxpoints||E.points)&&m>0){var H=E.pointpos,G=E.jitter,Z=E.marker.size/2,W=0;H+G>=0&&((W=V*(H+G))>M?(q=true,j=Z,B=W):W>R&&(j=Z,B=M)),W<=M&&(B=M);var Y=0;H-G<=0&&((Y=-V*(H-G))>S?(q=true,U=Z,N=Y):Y>F&&(U=Z,N=S)),Y<=S&&(N=S);}else B=M,N=S;var X=new Array(c.length);for(l=0;l<c.length;l++)X[l]=c[l].pos;E._extremes[f]=n.findExtremes(o,X,{padded:q,vpadminus:N,vpadplus:B,vpadLinearized:true,ppadminus:{x:U,y:j}[p],ppadplus:{x:j,y:U}[p]});}}}t.exports={crossTraceCalc:function(t,e){for(var r=t.calcdata,n=e.xaxis,i=e.yaxis,a=0;a<o.length;a++){for(var l=o[a],c=\"h\"===l?i:n,u=[],h=0;h<r.length;h++){var f=r[h],p=f[0].t,d=f[0].trace;true!==d.visible||\"box\"!==d.type&&\"candlestick\"!==d.type||p.empty||(d.orientation||\"v\")!==l||d.xaxis!==n._id||d.yaxis!==i._id||u.push(h);}s(\"box\",t,u,c);}},setPositionOffset:s};},62294:function(t,e,r){var n=r(34809),i=r(33626),a=r(78766),o=r(99669),s=r(36301),l=r(9666),c=r(64625);function u(t,e,r,a){function o(t){var e=0;return t&&t.length&&(e+=1,n.isArrayOrTypedArray(t[0])&&t[0].length&&(e+=1)),e}function s(e){return n.validate(t[e],c[e])}var u,h=r(\"y\"),f=r(\"x\");if(\"box\"===e.type){var p=r(\"q1\"),d=r(\"median\"),m=r(\"q3\");e._hasPreCompStats=p&&p.length&&d&&d.length&&m&&m.length,u=Math.min(n.minRowLength(p),n.minRowLength(d),n.minRowLength(m));}var g,y,v=o(h),x=o(f),_=v&&n.minRowLength(h),b=x&&n.minRowLength(f),w=a.calendar,T={autotypenumbers:a.autotypenumbers};if(e._hasPreCompStats)switch(String(x)+String(v)){case \"00\":var k=s(\"x0\")||s(\"dx\");g=!s(\"y0\")&&!s(\"dy\")||k?\"v\":\"h\",y=u;break;case \"10\":g=\"v\",y=Math.min(u,b);break;case \"20\":g=\"h\",y=Math.min(u,f.length);break;case \"01\":g=\"h\",y=Math.min(u,_);break;case \"02\":g=\"v\",y=Math.min(u,h.length);break;case \"12\":g=\"v\",y=Math.min(u,b,h.length);break;case \"21\":g=\"h\",y=Math.min(u,f.length,_);break;case \"11\":y=0;break;case \"22\":var A,M=false;for(A=0;A<f.length;A++)if(\"category\"===l(f[A],w,T)){M=true;break}if(M)g=\"v\",y=Math.min(u,b,h.length);else {for(A=0;A<h.length;A++)if(\"category\"===l(h[A],w,T)){M=true;break}M?(g=\"h\",y=Math.min(u,f.length,_)):(g=\"v\",y=Math.min(u,b,h.length));}}else v>0?(g=\"v\",y=x>0?Math.min(b,_):Math.min(_)):x>0?(g=\"h\",y=Math.min(b)):y=0;if(y){e._length=y;var S=r(\"orientation\",g);e._hasPreCompStats?\"v\"===S&&0===x?(r(\"x0\",0),r(\"dx\",1)):\"h\"===S&&0===v&&(r(\"y0\",0),r(\"dy\",1)):\"v\"===S&&0===x?r(\"x0\"):\"h\"===S&&0===v&&r(\"y0\"),i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\"],a);}else e.visible=false;}function h(t,e,r,i){var a=i.prefix,o=n.coerce2(t,e,c,\"marker.outliercolor\"),s=r(\"marker.line.outliercolor\"),l=\"outliers\";e._hasPreCompStats?l=\"all\":(o||s)&&(l=\"suspectedoutliers\");var u=r(a+\"points\",l);u?(r(\"jitter\",\"all\"===u?.3:0),r(\"pointpos\",\"all\"===u?-1.5:0),r(\"marker.symbol\"),r(\"marker.opacity\"),r(\"marker.size\"),r(\"marker.angle\"),r(\"marker.color\",e.line.color),r(\"marker.line.color\"),r(\"marker.line.width\"),\"suspectedoutliers\"===u&&(r(\"marker.line.outliercolor\",e.marker.color),r(\"marker.line.outlierwidth\")),r(\"selected.marker.color\"),r(\"unselected.marker.color\"),r(\"selected.marker.size\"),r(\"unselected.marker.size\"),r(\"text\"),r(\"hovertext\")):delete e.marker;var h=r(\"hoveron\");\"all\"!==h&&-1===h.indexOf(\"points\")||r(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,r);}t.exports={supplyDefaults:function(t,e,r,i){function s(r,i){return n.coerce(t,e,c,r,i)}if(u(t,e,s,i),false!==e.visible){o(t,e,i,s),s(\"xhoverformat\"),s(\"yhoverformat\");var l=e._hasPreCompStats;l&&(s(\"lowerfence\"),s(\"upperfence\")),s(\"line.color\",(t.marker||{}).color||r),s(\"line.width\"),s(\"fillcolor\",a.addOpacity(e.line.color,.5));var f=false;if(l){var p=s(\"mean\"),d=s(\"sd\");p&&p.length&&(f=true,d&&d.length&&(f=\"sd\"));}s(\"whiskerwidth\");var m,g=s(\"sizemode\");\"quartiles\"===g&&(m=s(\"boxmean\",f)),s(\"showwhiskers\",\"quartiles\"===g),\"sd\"!==g&&\"sd\"!==m||s(\"sdmultiple\"),s(\"width\"),s(\"quartilemethod\");var y=false;if(l){var v=s(\"notchspan\");v&&v.length&&(y=true);}else n.validate(t.notchwidth,c.notchwidth)&&(y=true);s(\"notched\",y)&&s(\"notchwidth\"),h(t,e,s,{prefix:\"box\"}),s(\"zorder\");}},crossTraceDefaults:function(t,e){var r,i;function a(t){return n.coerce(i._input,i,c,t)}for(var o=0;o<t.length;o++){var l=(i=t[o]).type;\"box\"!==l&&\"violin\"!==l||(r=i._input,\"group\"===e[l+\"mode\"]&&s(r,i,e,a));}},handleSampleDefaults:u,handlePointsDefaults:h};},76429:function(t){t.exports=function(t,e){return e.hoverOnBox&&(t.hoverOnBox=e.hoverOnBox),\"xVal\"in e&&(t.x=e.xVal),\"yVal\"in e&&(t.y=e.yVal),e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),t};},11448:function(t,e,r){var n=r(29714),i=r(34809),a=r(32141),o=r(78766),s=i.fillText;function l(t,e,r,s){var l,c,u,h,f,p,d,m,g,y,v,x,_,b,w=t.cd,T=t.xa,k=t.ya,A=w[0].trace,M=w[0].t,S=\"violin\"===A.type,E=M.bdPos,C=M.wHover,L=function(t){return u.c2l(t.pos)+M.bPos-u.c2l(p)};S&&\"both\"!==A.side?(\"positive\"===A.side&&(g=function(t){var e=L(t);return a.inbox(e,e+C,y)},x=E,_=0),\"negative\"===A.side&&(g=function(t){var e=L(t);return a.inbox(e-C,e,y)},x=0,_=E)):(g=function(t){var e=L(t);return a.inbox(e-C,e+C,y)},x=_=E),b=S?function(t){return a.inbox(t.span[0]-f,t.span[1]-f,y)}:function(t){return a.inbox(t.min-f,t.max-f,y)},\"h\"===A.orientation?(f=e,p=r,d=b,m=g,l=\"y\",u=k,c=\"x\",h=T):(f=r,p=e,d=g,m=b,l=\"x\",u=T,c=\"y\",h=k);var I=Math.min(1,E/Math.abs(u.r2c(u.range[1])-u.r2c(u.range[0])));function P(t){return (d(t)+m(t))/2}y=t.maxHoverDistance-I,v=t.maxSpikeDistance-I;var z=a.getDistanceFunction(s,d,m,P);if(a.getClosest(w,z,t),false===t.index)return [];var O=w[t.index],D=A.line.color,R=(A.marker||{}).color;o.opacity(D)&&A.line.width?t.color=D:o.opacity(R)&&A.boxpoints?t.color=R:t.color=A.fillcolor,t[l+\"0\"]=u.c2p(O.pos+M.bPos-_,true),t[l+\"1\"]=u.c2p(O.pos+M.bPos+x,true),t[l+\"LabelVal\"]=void 0!==O.orig_p?O.orig_p:O.pos;var F=l+\"Spike\";t.spikeDistance=P(O)*v/y,t[F]=u.c2p(O.pos,true);var B=A.boxmean||\"sd\"===A.sizemode||(A.meanline||{}).visible,N=A.boxpoints||A.points,j=N&&B?[\"max\",\"uf\",\"q3\",\"med\",\"mean\",\"q1\",\"lf\",\"min\"]:N&&!B?[\"max\",\"uf\",\"q3\",\"med\",\"q1\",\"lf\",\"min\"]:!N&&B?[\"max\",\"q3\",\"med\",\"mean\",\"q1\",\"min\"]:[\"max\",\"q3\",\"med\",\"q1\",\"min\"],U=h.range[1]<h.range[0];A.orientation===(U?\"v\":\"h\")&&j.reverse();for(var V=t.spikeDistance,q=t[F],H=[],G=0;G<j.length;G++){var Z=j[G];if(Z in O){var W=O[Z],Y=h.c2p(W,true),X=i.extendFlat({},t);X.attr=Z,X[c+\"0\"]=X[c+\"1\"]=Y,X[c+\"LabelVal\"]=W,X[c+\"Label\"]=(M.labels?M.labels[Z]+\" \":\"\")+n.hoverLabelText(h,W,A[c+\"hoverformat\"]),X.hoverOnBox=true,\"mean\"!==Z||!(\"sd\"in O)||\"sd\"!==A.boxmean&&\"sd\"!==A.sizemode||(X[c+\"err\"]=O.sd),X.hovertemplate=false,H.push(X);}}t.name=\"\",t.spikeDistance=void 0,t[F]=void 0;for(var $=0;$<H.length;$++)\"med\"!==H[$].attr?(H[$].name=\"\",H[$].spikeDistance=void 0,H[$][F]=void 0):(H[$].spikeDistance=V,H[$][F]=q);return H}function c(t,e,r){for(var n,o,l,c=t.cd,u=t.xa,h=t.ya,f=c[0].trace,p=u.c2p(e),d=h.c2p(r),m=a.quadrature((function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(u.c2p(t.x)-p)-e,1-3/e)}),(function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(h.c2p(t.y)-d)-e,1-3/e)})),g=false,y=0;y<c.length;y++){o=c[y];for(var v=0;v<(o.pts||[]).length;v++){var x=m(l=o.pts[v]);x<=t.distance&&(t.distance=x,g=[y,v]);}}if(!g)return  false;l=(o=c[g[0]]).pts[g[1]];var _=u.c2p(l.x,true),b=h.c2p(l.y,true),w=l.mrc||1;n=i.extendFlat({},t,{index:l.i,color:(f.marker||{}).color,name:f.name,x0:_-w,x1:_+w,y0:b-w,y1:b+w,spikeDistance:t.distance,hovertemplate:f.hovertemplate});var T,k=o.orig_p,A=void 0!==k?k:o.pos;return \"h\"===f.orientation?(T=h,n.xLabelVal=l.x,n.yLabelVal=A):(T=u,n.xLabelVal=A,n.yLabelVal=l.y),n[T._id.charAt(0)+\"Spike\"]=T.c2p(o.pos,true),s(l,f,n),n}t.exports={hoverPoints:function(t,e,r,n){var i,a=t.cd[0].trace.hoveron,o=[];return  -1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=c(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:c};},53794:function(t,e,r){t.exports={attributes:r(64625),layoutAttributes:r(64636),supplyDefaults:r(62294).supplyDefaults,crossTraceDefaults:r(62294).crossTraceDefaults,supplyLayoutDefaults:r(65067).supplyLayoutDefaults,calc:r(89429),crossTraceCalc:r(81606).crossTraceCalc,plot:r(95419).plot,style:r(59979).style,styleOnSelect:r(59979).styleOnSelect,hoverPoints:r(11448).hoverPoints,eventData:r(76429),selectPoints:r(72488),moduleType:\"trace\",name:\"box\",basePlotModule:r(37703),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}};},64636:function(t){t.exports={boxmode:{valType:\"enumerated\",values:[\"group\",\"overlay\"],dflt:\"overlay\",editType:\"calc\"},boxgap:{valType:\"number\",min:0,max:1,dflt:.3,editType:\"calc\"},boxgroupgap:{valType:\"number\",min:0,max:1,dflt:.3,editType:\"calc\"}};},65067:function(t,e,r){var n=r(33626),i=r(34809),a=r(64636);function o(t,e,r,i,a){for(var o=a+\"Layout\",s=false,l=0;l<r.length;l++){var c=r[l];if(n.traceIs(c,o)){s=true;break}}s&&(i(a+\"mode\"),i(a+\"gap\"),i(a+\"groupgap\"));}t.exports={supplyLayoutDefaults:function(t,e,r){o(0,0,r,(function(r,n){return i.coerce(t,e,a,r,n)}),\"box\");},_supply:o};},95419:function(t,e,r){var n=r(45568),i=r(34809),a=r(62203);function o(t,e,r,a,o){var s,l,c=\"h\"===r.orientation,u=e.val,h=e.pos,f=!!h.rangebreaks,p=a.bPos,d=a.wdPos||0,m=a.bPosPxOffset||0,g=r.whiskerwidth||0,y=false!==r.showwhiskers,v=r.notched||false,x=v?1-2*r.notchwidth:1;Array.isArray(a.bdPos)?(s=a.bdPos[0],l=a.bdPos[1]):(s=a.bdPos,l=a.bdPos);var _=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);_.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),_.exit().remove(),_.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=h.c2l(t.pos+p,true),a=h.l2p(e-s)+m,o=h.l2p(e+l)+m,_=f?(a+o)/2:h.l2p(e)+m,b=r.whiskerwidth,w=f?a*b+(1-b)*_:h.l2p(e-d)+m,T=f?o*b+(1-b)*_:h.l2p(e+d)+m,k=h.l2p(e-s*x)+m,A=h.l2p(e+l*x)+m,M=\"sd\"===r.sizemode,S=u.c2p(M?t.mean-t.sd:t.q1,true),E=M?u.c2p(t.mean+t.sd,true):u.c2p(t.q3,true),C=i.constrain(M?u.c2p(t.mean,true):u.c2p(t.med,true),Math.min(S,E)+1,Math.max(S,E)-1),L=void 0===t.lf||false===r.boxpoints||M,I=u.c2p(L?t.min:t.lf,true),P=u.c2p(L?t.max:t.uf,true),z=u.c2p(t.ln,true),O=u.c2p(t.un,true);c?n.select(this).attr(\"d\",\"M\"+C+\",\"+k+\"V\"+A+\"M\"+S+\",\"+a+\"V\"+o+(v?\"H\"+z+\"L\"+C+\",\"+A+\"L\"+O+\",\"+o:\"\")+\"H\"+E+\"V\"+a+(v?\"H\"+O+\"L\"+C+\",\"+k+\"L\"+z+\",\"+a:\"\")+\"Z\"+(y?\"M\"+S+\",\"+_+\"H\"+I+\"M\"+E+\",\"+_+\"H\"+P+(0===g?\"\":\"M\"+I+\",\"+w+\"V\"+T+\"M\"+P+\",\"+w+\"V\"+T):\"\")):n.select(this).attr(\"d\",\"M\"+k+\",\"+C+\"H\"+A+\"M\"+a+\",\"+S+\"H\"+o+(v?\"V\"+z+\"L\"+A+\",\"+C+\"L\"+o+\",\"+O:\"\")+\"V\"+E+\"H\"+a+(v?\"V\"+O+\"L\"+k+\",\"+C+\"L\"+a+\",\"+z:\"\")+\"Z\"+(y?\"M\"+_+\",\"+S+\"V\"+I+\"M\"+_+\",\"+E+\"V\"+P+(0===g?\"\":\"M\"+w+\",\"+I+\"H\"+T+\"M\"+w+\",\"+P+\"H\"+T):\"\"));}));}function s(t,e,r,n){var o=e.x,s=e.y,l=n.bdPos,c=n.bPos,u=r.boxpoints||r.points;i.seedPseudoRandom();var h=t.selectAll(\"g.points\").data(u?function(t){return t.forEach((function(t){t.t=n,t.trace=r;})),t}:[]);h.enter().append(\"g\").attr(\"class\",\"points\"),h.exit().remove();var f=h.selectAll(\"path\").data((function(t){var e,n,a=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,h=.01*o,f=[],p=0;if(r.jitter){if(0===o)for(p=1,f=new Array(a.length),e=0;e<a.length;e++)f[e]=1;else for(e=0;e<a.length;e++){var d=Math.max(0,e-5),m=a[d].v,g=Math.min(a.length-1,e+5),y=a[g].v;\"all\"!==u&&(a[e].v<t.lf?y=Math.min(y,t.lf):m=Math.max(m,t.uf));var v=Math.sqrt(h*(g-d)/(y-m+s))||0;v=i.constrain(Math.abs(v),0,1),f.push(v),p=Math.max(v,p);}n=2*r.jitter/(p||1);}for(e=0;e<a.length;e++){var x=a[e],_=x.v,b=r.jitter?n*f[e]*(i.pseudoRandom()-.5):0,w=t.pos+c+l*(r.pointpos+b);\"h\"===r.orientation?(x.y=w,x.x=_):(x.x=w,x.y=_),\"suspectedoutliers\"===u&&_<t.uo&&_>t.lo&&(x.so=true);}return a}));f.enter().append(\"path\").classed(\"point\",true),f.exit().remove(),f.call(a.translatePoints,o,s);}function l(t,e,r,a){var o,s,l=e.val,c=e.pos,u=!!c.rangebreaks,h=a.bPos,f=a.bPosPxOffset||0,p=r.boxmean||(r.meanline||{}).visible;Array.isArray(a.bdPos)?(o=a.bdPos[0],s=a.bdPos[1]):(o=a.bdPos,s=a.bdPos);var d=t.selectAll(\"path.mean\").data(\"box\"===r.type&&r.boxmean||\"violin\"===r.type&&r.box.visible&&r.meanline.visible?i.identity:[]);d.enter().append(\"path\").attr(\"class\",\"mean\").style({fill:\"none\",\"vector-effect\":\"non-scaling-stroke\"}),d.exit().remove(),d.each((function(t){var e=c.c2l(t.pos+h,true),i=c.l2p(e-o)+f,a=c.l2p(e+s)+f,d=u?(i+a)/2:c.l2p(e)+f,m=l.c2p(t.mean,true),g=l.c2p(t.mean-t.sd,true),y=l.c2p(t.mean+t.sd,true);\"h\"===r.orientation?n.select(this).attr(\"d\",\"M\"+m+\",\"+i+\"V\"+a+(\"sd\"===p?\"m0,0L\"+g+\",\"+d+\"L\"+m+\",\"+i+\"L\"+y+\",\"+d+\"Z\":\"\")):n.select(this).attr(\"d\",\"M\"+i+\",\"+m+\"H\"+a+(\"sd\"===p?\"m0,0L\"+d+\",\"+g+\"L\"+i+\",\"+m+\"L\"+d+\",\"+y+\"Z\":\"\"));}));}t.exports={plot:function(t,e,r,a){var c=t._context.staticPlot,u=e.xaxis,h=e.yaxis;i.makeTraceGroups(a,r,\"trace boxes\").each((function(t){var e,r,i=n.select(this),a=t[0],f=a.t,p=a.trace;f.wdPos=f.bdPos*p.whiskerwidth,true!==p.visible||f.empty?i.remove():(\"h\"===p.orientation?(e=h,r=u):(e=u,r=h),o(i,{pos:e,val:r},p,f,c),s(i,{x:u,y:h},p,f),l(i,{pos:e,val:r},p,f));}));},plotBoxAndWhiskers:o,plotPoints:s,plotBoxMean:l};},72488:function(t){t.exports=function(t,e){var r,n,i=t.cd,a=t.xaxis,o=t.yaxis,s=[];if(false===e)for(r=0;r<i.length;r++)for(n=0;n<(i[r].pts||[]).length;n++)i[r].pts[n].selected=0;else for(r=0;r<i.length;r++)for(n=0;n<(i[r].pts||[]).length;n++){var l=i[r].pts[n],c=a.c2p(l.x),u=o.c2p(l.y);e.contains([c,u],null,l.i,t)?(s.push({pointNumber:l.i,x:a.c2d(l.x),y:o.c2d(l.y)}),l.selected=1):l.selected=0;}return s};},59979:function(t,e,r){var n=r(45568),i=r(78766),a=r(62203);t.exports={style:function(t,e,r){var o=r||n.select(t).selectAll(\"g.trace.boxes\");o.style(\"opacity\",(function(t){return 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s=o.charAt(0),l=t[o]||{},c=i.newContainer(e,o),u={noAutotickangles:true,noTicklabelshift:true,noTicklabelstandoff:true,noTicklabelstep:true,tickfont:\"x\",id:s+\"axis\",letter:s,font:e.font,name:o,data:t[s],calendar:e.calendar,dfltColor:a,bgColor:r.paper_bgcolor,autotypenumbersDflt:r.autotypenumbers,fullLayout:r};n(l,c,u),c._categories=c._categories||[],t[o]||\"-\"===l.type||(t[o]={type:l.type});}));}(t,e,r,o);};},97052:function(t,e,r){var n=r(34809).isArrayOrTypedArray;function i(t,e){if(!n(t)||e>=10)return null;for(var r=1/0,a=-1/0,o=t.length,s=0;s<o;s++){var l=t[s];if(n(l)){var c=i(l,e+1);c&&(r=Math.min(c[0],r),a=Math.max(c[1],a));}else r=Math.min(l,r),a=Math.max(l,a);}return [r,a]}t.exports=function(t){return i(t,0)};},43745:function(t,e,r){var n=r(80337),i=r(86961),a=r(10229),o=n({editType:\"calc\"}),s=r(36640).zorder;o.family.dflt='\"Open Sans\", verdana, arial, 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a,o,s,l,c,u,h,f,p,d,m,g,y,v=n(r)?\"a\":\"b\",x=(\"a\"===v?t.aaxis:t.baxis).smoothing,_=\"a\"===v?t.a2i:t.b2j,b=\"a\"===v?r:i,w=\"a\"===v?i:r,T=\"a\"===v?e.a.length:e.b.length,k=\"a\"===v?e.b.length:e.a.length,A=Math.floor(\"a\"===v?t.b2j(w):t.a2i(w)),M=\"a\"===v?function(e){return t.evalxy([],e,A)}:function(e){return t.evalxy([],A,e)};x&&(s=Math.max(0,Math.min(k-2,A)),l=A-s,o=\"a\"===v?function(e,r){return t.dxydi([],e,s,r,l)}:function(e,r){return t.dxydj([],s,e,l,r)});var S=_(b[0]),E=_(b[1]),C=S<E?1:-1,L=1e-8*(E-S),I=C>0?Math.floor:Math.ceil,P=C>0?Math.ceil:Math.floor,z=C>0?Math.min:Math.max,O=C>0?Math.max:Math.min,D=I(S+L),R=P(E-L),F=[[h=M(S)]];for(a=D;a*C<R*C;a+=C)c=[],m=O(S,a),y=(g=z(E,a+C))-m,u=Math.max(0,Math.min(T-2,Math.floor(.5*(m+g)))),f=M(g),x&&(p=o(u,m-u),d=o(u,g-u),c.push([h[0]+p[0]/3*y,h[1]+p[1]/3*y]),c.push([f[0]-d[0]/3*y,f[1]-d[1]/3*y])),c.push(f),F.push(c),h=f;return F};},86961:function(t,e,r){var n=r(80337),i=r(10229),a=r(25829),o=r(80712).descriptionWithDates,s=r(13582).overrideAll,l=r(94850).T,c=r(93049).extendFlat;t.exports={color:{valType:\"color\",editType:\"calc\"},smoothing:{valType:\"number\",dflt:1,min:0,max:1.3,editType:\"calc\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"calc\"},font:n({editType:\"calc\"}),offset:{valType:\"number\",dflt:10,editType:\"calc\"},editType:\"calc\"},type:{valType:\"enumerated\",values:[\"-\",\"linear\",\"date\",\"category\"],dflt:\"-\",editType:\"calc\"},autotypenumbers:a.autotypenumbers,autorange:{valType:\"enumerated\",values:[true,false,\"reversed\"],dflt:true,editType:\"calc\"},rangemode:{valType:\"enumerated\",values:[\"normal\",\"tozero\",\"nonnegative\"],dflt:\"normal\",editType:\"calc\"},range:{valType:\"info_array\",editType:\"calc\",items:[{valType:\"any\",editType:\"calc\"},{valType:\"any\",editType:\"calc\"}]},fixedrange:{valType:\"boolean\",dflt:false,editType:\"calc\"},cheatertype:{valType:\"enumerated\",values:[\"index\",\"value\"],dflt:\"value\",editType:\"calc\"},tickmode:{valType:\"enumerated\",values:[\"linear\",\"array\"],dflt:\"array\",editType:\"calc\"},nticks:{valType:\"integer\",min:0,dflt:0,editType:\"calc\"},tickvals:{valType:\"data_array\",editType:\"calc\"},ticktext:{valType:\"data_array\",editType:\"calc\"},showticklabels:{valType:\"enumerated\",values:[\"start\",\"end\",\"both\",\"none\"],dflt:\"start\",editType:\"calc\"},labelalias:c({},a.labelalias,{editType:\"calc\"}),tickfont:n({editType:\"calc\"}),tickangle:{valType:\"angle\",dflt:\"auto\",editType:\"calc\"},tickprefix:{valType:\"string\",dflt:\"\",editType:\"calc\"},showtickprefix:{valType:\"enumerated\",values:[\"all\",\"first\",\"last\",\"none\"],dflt:\"all\",editType:\"calc\"},ticksuffix:{valType:\"string\",dflt:\"\",editType:\"calc\"},showticksuffix:{valType:\"enumerated\",values:[\"all\",\"first\",\"last\",\"none\"],dflt:\"all\",editType:\"calc\"},showexponent:{valType:\"enumerated\",values:[\"all\",\"first\",\"last\",\"none\"],dflt:\"all\",editType:\"calc\"},exponentformat:{valType:\"enumerated\",values:[\"none\",\"e\",\"E\",\"power\",\"SI\",\"B\"],dflt:\"B\",editType:\"calc\"},minexponent:{valType:\"number\",dflt:3,min:0,editType:\"calc\"},separatethousands:{valType:\"boolean\",dflt:false,editType:\"calc\"},tickformat:{valType:\"string\",dflt:\"\",editType:\"calc\",description:o(\"tick 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n=r(43745),i=r(78766).addOpacity,a=r(33626),o=r(34809),s=r(22777),l=r(12036),c=r(54616),u=r(46473),h=r(19091),f=r(9666);t.exports=function(t,e,r){var p=r.letter,d=r.font||{},m=n[p+\"axis\"];function g(r,n){return o.coerce(t,e,m,r,n)}function y(r,n){return o.coerce2(t,e,m,r,n)}r.name&&(e._name=r.name,e._id=r.name),g(\"autotypenumbers\",r.autotypenumbersDflt);var v=g(\"type\");\"-\"===v&&(r.data&&function(t,e){if(\"-\"===t.type){var r=t._id.charAt(0),n=t[r+\"calendar\"];t.type=f(e,n,{autotypenumbers:t.autotypenumbers});}}(e,r.data),\"-\"===e.type?e.type=\"linear\":v=t.type=e.type),g(\"smoothing\"),g(\"cheatertype\"),g(\"showticklabels\"),g(\"labelprefix\",p+\" = 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n=r(3208).rb,i=r(6893),a=r(87163),o=r(9829),s=r(10229).defaultLine,l=r(93049).extendFlat,c=i.marker.line;t.exports=l({locations:{valType:\"data_array\",editType:\"calc\"},locationmode:i.locationmode,z:{valType:\"data_array\",editType:\"calc\"},geojson:l({},i.geojson,{}),featureidkey:i.featureidkey,text:l({},i.text,{}),hovertext:l({},i.hovertext,{}),marker:{line:{color:l({},c.color,{dflt:s}),width:l({},c.width,{dflt:1}),editType:\"calc\"},opacity:{valType:\"number\",arrayOk:true,min:0,max:1,dflt:1,editType:\"style\"},editType:\"calc\"},selected:{marker:{opacity:i.selected.marker.opacity,editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:i.unselected.marker.opacity,editType:\"plot\"},editType:\"plot\"},hoverinfo:l({},o.hoverinfo,{editType:\"calc\",flags:[\"location\",\"z\",\"text\",\"name\"]}),hovertemplate:n(),showlegend:l({},o.showlegend,{dflt:false})},a(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}));},12702:function(t,e,r){var 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t.x0=t.x1=t.xa.c2p(o.ct),t.y0=t.y1=t.ya.c2p(o.ct),t.index=o.index,t.location=o.loc,t.z=o.z,t.zLabel=n.tickText(f.mockAxis,f.mockAxis.c2l(o.z),\"hover\").text,t.hovertemplate=o.hovertemplate,function(t,e,r){if(!e.hovertemplate){var n=r.hi||e.hoverinfo,o=String(r.loc),s=\"all\"===n?i.hoverinfo.flags:n.split(\"+\"),l=-1!==s.indexOf(\"name\"),c=-1!==s.indexOf(\"location\"),u=-1!==s.indexOf(\"z\"),h=-1!==s.indexOf(\"text\"),f=[];!l&&c?t.nameOverride=o:(l&&(t.nameOverride=e.name),c&&f.push(o)),u&&f.push(t.zLabel),h&&a(r,e,f),t.extraText=f.join(\"<br>\");}}(t,h,o),[t]};},58075:function(t,e,r){t.exports={attributes:r(92802),supplyDefaults:r(51893),colorbar:r(12431),calc:r(12702),calcGeoJSON:r(4700).calcGeoJSON,plot:r(4700).plot,style:r(59342).style,styleOnSelect:r(59342).styleOnSelect,hoverPoints:r(94125),eventData:r(38414),selectPoints:r(43727),moduleType:\"trace\",name:\"choropleth\",basePlotModule:r(47544),categories:[\"geo\",\"noOpacity\",\"showLegend\"],meta:{}};},4700:function(t,e,r){var 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n=r(92802),i=r(87163),a=r(3208).rb,o=r(9829),s=r(93049).extendFlat;t.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:false})},i(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}));},40980:function(t,e,r){var 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t.mlc}),i.isArrayOrTypedArray(v.width)&&(m=function(t){return t.mlw});for(var x=0;x<t.length;x++){var _=t[x],b=_.fOut;if(b){var w=b.properties;w.fc=g(_.z),p&&(w.mo=p(_)),d&&(w.mlc=d(_)),m&&(w.mlw=m(_)),_.ct=w.ct,_._polygons=l.feature2polygons(b);}}var T=p?{type:\"identity\",property:\"mo\"}:y.opacity;return i.extendFlat(o.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":T}),i.extendFlat(u.paint,{\"line-color\":d?{type:\"identity\",property:\"mlc\"}:v.color,\"line-width\":m?{type:\"identity\",property:\"mlw\"}:v.width,\"line-opacity\":T}),o.layout.visibility=\"visible\",u.layout.visibility=\"visible\",h.geojson={type:\"FeatureCollection\",features:f},c(t),h},convertOnSelect:c};},94149:function(t,e,r){var n=r(34809),i=r(39356),a=r(34770);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"locations\"),c=s(\"z\"),u=s(\"geojson\");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&(\"string\"==typeof u&&\"\"!==u||n.isPlainObject(u))?(s(\"featureidkey\"),e._length=Math.min(l.length,c.length),s(\"below\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),s(\"marker.line.width\")&&s(\"marker.line.color\"),s(\"marker.opacity\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"}),n.coerceSelectionMarkerOpacity(e,s)):e.visible=false;};},9419:function(t,e,r){t.exports={attributes:r(34770),supplyDefaults:r(94149),colorbar:r(12431),calc:r(12702),plot:r(30316),hoverPoints:r(94125),eventData:r(38414),selectPoints:r(43727),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.updateOnSelect(e);},getBelow:function(t,e){for(var r=e.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if(\"string\"==typeof i&&0===i.indexOf(\"water\"))for(var a=n+1;a<r.length;a++)if(\"string\"==typeof(i=r[a].id)&&-1===i.indexOf(\"plotly-\"))return i}},moduleType:\"trace\",name:\"choroplethmap\",basePlotModule:r(34091),categories:[\"map\",\"gl\",\"noOpacity\",\"showLegend\"],meta:{hr_name:\"choropleth_map\"}};},30316:function(t,e,r){var n=r(40980).convert,i=r(40980).convertOnSelect,a=r(8814).traceLayerPrefix;function o(t,e){this.type=\"choroplethmap\",this.subplot=t,this.uid=e,this.sourceId=\"source-\"+e,this.layerList=[[\"fill\",a+e+\"-fill\"],[\"line\",a+e+\"-line\"]],this.below=null;}var s=o.prototype;s.update=function(t){this._update(n(t)),t[0].trace._glTrace=this;},s.updateOnSelect=function(t){this._update(i(t));},s._update=function(t){var e=this.subplot,r=this.layerList,n=e.belowLookup[\"trace-\"+this.uid];e.map.getSource(this.sourceId).setData(t.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(t,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=t[o];e.setOptions(s,\"setLayoutProperty\",l.layout),\"visible\"===l.layout.visibility&&e.setOptions(s,\"setPaintProperty\",l.paint);}},s._addLayers=function(t,e){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=t[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},e);}},s._removeLayers=function(){for(var t=this.subplot.map,e=this.layerList,r=e.length-1;r>=0;r--)t.removeLayer(e[r][1]);},s.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId);},t.exports=function(t,e){var r=e[0].trace,i=new o(t,r.uid),a=i.sourceId,s=n(e),l=i.below=t.belowLookup[\"trace-\"+r.uid];return t.map.addSource(a,{type:\"geojson\",data:s.geojson}),i._addLayers(s,l),e[0].trace._glTrace=i,i};},86227:function(t,e,r){var n=r(92802),i=r(87163),a=r(3208).rb,o=r(9829),s=r(93049).extendFlat;t.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:false})},i(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}));},51335:function(t,e,r){var n=r(10721),i=r(34809),a=r(88856),o=r(62203),s=r(39532).makeBlank,l=r(3994);function c(t){var e,r=t[0].trace,n=r._opts;if(r.selectedpoints){for(var a=o.makeSelectedPointStyleFns(r),s=0;s<t.length;s++){var l=t[s];l.fOut&&(l.fOut.properties.mo2=a.selectedOpacityFn(l));}e={type:\"identity\",property:\"mo2\"};}else e=i.isArrayOrTypedArray(r.marker.opacity)?{type:\"identity\",property:\"mo\"}:r.marker.opacity;return i.extendFlat(n.fill.paint,{\"fill-opacity\":e}),i.extendFlat(n.line.paint,{\"line-opacity\":e}),n}t.exports={convert:function(t){var e=t[0].trace,r=true===e.visible&&0!==e._length,o={layout:{visibility:\"none\"},paint:{}},u={layout:{visibility:\"none\"},paint:{}},h=e._opts={fill:o,line:u,geojson:s()};if(!r)return h;var f=l.extractTraceFeature(t);if(!f)return h;var p,d,m,g=a.makeColorScaleFuncFromTrace(e),y=e.marker,v=y.line||{};i.isArrayOrTypedArray(y.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(v.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(v.width)&&(m=function(t){return t.mlw});for(var x=0;x<t.length;x++){var _=t[x],b=_.fOut;if(b){var w=b.properties;w.fc=g(_.z),p&&(w.mo=p(_)),d&&(w.mlc=d(_)),m&&(w.mlw=m(_)),_.ct=w.ct,_._polygons=l.feature2polygons(b);}}var T=p?{type:\"identity\",property:\"mo\"}:y.opacity;return i.extendFlat(o.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":T}),i.extendFlat(u.paint,{\"line-color\":d?{type:\"identity\",property:\"mlc\"}:v.color,\"line-width\":m?{type:\"identity\",property:\"mlw\"}:v.width,\"line-opacity\":T}),o.layout.visibility=\"visible\",u.layout.visibility=\"visible\",h.geojson={type:\"FeatureCollection\",features:f},c(t),h},convertOnSelect:c};},8244:function(t,e,r){var n=r(34809),i=r(39356),a=r(86227);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"locations\"),c=s(\"z\"),u=s(\"geojson\");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&(\"string\"==typeof u&&\"\"!==u||n.isPlainObject(u))?(s(\"featureidkey\"),e._length=Math.min(l.length,c.length),s(\"below\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),s(\"marker.line.width\")&&s(\"marker.line.color\"),s(\"marker.opacity\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"}),n.coerceSelectionMarkerOpacity(e,s)):e.visible=false;};},28128:function(t,e,r){t.exports={attributes:r(86227),supplyDefaults:r(8244),colorbar:r(12431),calc:r(12702),plot:r(33501),hoverPoints:r(94125),eventData:r(38414),selectPoints:r(43727),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.updateOnSelect(e);},getBelow:function(t,e){for(var r=e.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if(\"string\"==typeof i&&0===i.indexOf(\"water\"))for(var a=n+1;a<r.length;a++)if(\"string\"==typeof(i=r[a].id)&&-1===i.indexOf(\"plotly-\"))return 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n=r(55412),i=r(9829),a=r(13792).u,o=r(3208).rb,s=r(3208).ay,l=r(93049).extendFlat;t.exports={labels:n.labels,label0:n.label0,dlabel:n.dlabel,values:n.values,marker:{colors:n.marker.colors,line:{color:l({},n.marker.line.color,{dflt:null}),width:l({},n.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:n.marker.pattern,editType:\"calc\"},text:n.text,hovertext:n.hovertext,scalegroup:l({},n.scalegroup,{}),textinfo:l({},n.textinfo,{flags:[\"label\",\"text\",\"value\",\"percent\"]}),texttemplate:s({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),hoverinfo:l({},i.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:o({},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),textposition:l({},n.textposition,{values:[\"inside\",\"none\"],dflt:\"inside\"}),textfont:n.textfont,insidetextfont:n.insidetextfont,title:{text:n.title.text,font:n.title.font,position:l({},n.title.position,{values:[\"top left\",\"top center\",\"top 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h=u(\"labels\"),f=u(\"values\"),p=s(h,f),d=p.len;if(e._hasLabels=p.hasLabels,e._hasValues=p.hasValues,!e._hasLabels&&e._hasValues&&(u(\"label0\"),u(\"dlabel\")),d){e._length=d,l(t,e,c,u),u(\"scalegroup\");var m,g=u(\"text\"),y=u(\"texttemplate\");if(y||(m=u(\"textinfo\",Array.isArray(g)?\"text+percent\":\"percent\")),u(\"hovertext\"),u(\"hovertemplate\"),y||m&&\"none\"!==m){var v=u(\"textposition\");o(t,e,c,u,v,{moduleHasSelected:false,moduleHasUnselected:false,moduleHasConstrain:false,moduleHasCliponaxis:false,moduleHasTextangle:false,moduleHasInsideanchor:false});}else \"none\"===m&&u(\"textposition\",\"none\");a(e,c,u),u(\"title.text\")&&(u(\"title.position\"),n.coerceFont(u,\"title.font\",c.font)),u(\"aspectratio\"),u(\"baseratio\");}else 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n=r(36640),i=r(9829),a=r(80337),o=r(80712).axisHoverFormat,s=r(3208).rb,l=r(3208).ay,c=r(87163),u=r(93049).extendFlat;t.exports=u({z:{valType:\"data_array\",editType:\"calc\"},x:u({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:u({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:u({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:u({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:u({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:u({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),xperiod:u({},n.xperiod,{impliedEdits:{xtype:\"scaled\"}}),yperiod:u({},n.yperiod,{impliedEdits:{ytype:\"scaled\"}}),xperiod0:u({},n.xperiod0,{impliedEdits:{xtype:\"scaled\"}}),yperiod0:u({},n.yperiod0,{impliedEdits:{ytype:\"scaled\"}}),xperiodalignment:u({},n.xperiodalignment,{impliedEdits:{xtype:\"scaled\"}}),yperiodalignment:u({},n.yperiodalignment,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:false,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",false],dflt:false,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:true,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),zhoverformat:o(\"z\",1),hovertemplate:s(),texttemplate:l({arrayOk:false,editType:\"plot\"},{keys:[\"x\",\"y\",\"z\",\"text\"]}),textfont:a({editType:\"plot\",autoSize:true,autoColor:true,colorEditType:\"style\"}),showlegend:u({},i.showlegend,{dflt:false}),zorder:n.zorder},{transforms:void 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P=L.selectAll(\"text\").data(I);function z(e,r,n,i){if(!e.match(\"s\")||n>=0==i>=0||r(n).slice(-1).match(b)||r(i).slice(-1).match(b))return r;var a=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=k(t,{tickformat:a});return function(t){return Math.abs(t)<1?d.tickText(o,t).text:r(t)}}P.enter().append(\"text\"),P.attr(\"text-anchor\",(function(){return A})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),P.exit().remove();var O,D=m.mode+m.align;if(m._hasDelta&&(O=function(){var e=k(t,{tickformat:m.delta.valueformat},m._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=m.delta.suffix,s=m.delta.prefix,l=function(t){return m.delta.relative?t.relativeDelta:t.delta},c=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?m.delta.increasing.symbol:m.delta.decreasing.symbol)+s+e(t)+o},f=function(t){return 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n=r(71293).wrap,i=r(65477).hasColorscale,a=r(28379),o=r(48965),s=r(62203),l=r(34809),c=r(10721);function u(t,e,r){t.valueInds.push(e),t.count+=r;}function h(t,e,r){return {categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function f(t,e,r){t.valueInds.push(e),t.count+=r;}t.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return [];var p,d,m,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else {e=o(t.values);for(var r=true,n=0;n<e.length;n++)if(!c(e[n])){r=false;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse());}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e;}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o);}var l=e.map((function(t){return r[t]}));return 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a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),u=i.selectAll(\"g.parcatslayer\").data([null]);u.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",a?\"none\":\"all\");var f=u.selectAll(\"g.trace.parcats\").data(o,p),v=f.enter().append(\"g\").attr(\"class\",\"trace parcats\");f.attr(\"transform\",(function(t){return l(t.x,t.y)})),v.append(\"g\").attr(\"class\",\"paths\");var x=f.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),p);x.attr(\"fill\",(function(t){return t.model.color}));var w=x.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);b(w),x.attr(\"d\",(function(t){return t.svgD})),w.empty()||x.sort(m),x.exit().remove(),x.on(\"mouseover\",g).on(\"mouseout\",y).on(\"click\",_),v.append(\"g\").attr(\"class\",\"dimensions\");var A=f.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),p);A.enter().append(\"g\").attr(\"class\",\"dimension\"),A.attr(\"transform\",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll(\"g.category\").data((function(t){return t.categories}),p),S=M.enter().append(\"g\").attr(\"class\",\"category\");M.attr(\"transform\",(function(t){return l(0,t.y)})),S.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),M.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(S);var E=M.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this);})),E.attr(\"fill\",(function(t){return t.color}));var O=E.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);E.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return \"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(O),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\"),M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),h.convertToTspans(n.select(this),e);})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return \"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont);})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",C).on(\"mouseout\",L),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return {x:t.x,y:0}})).on(\"dragstart\",I).on(\"drag\",P).on(\"dragend\",z)),f.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\");})),f.exit().remove();}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=v(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,c=n.mouse(this)[0],h=t.parcatsViewModel.graphDiv,f=t.parcatsViewModel.trace,p=h._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),m=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=c&&c<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var _=t.parcatsViewModel.x+i,b=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),C=n.mouse(h)[0];o.loneHover({trace:f,x:_-d.left+m.left,y:b-d.top+m.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:C<_?\"right\":\"left\",hovertemplate:(f.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:f._input,fullData:f,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:h});}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(b(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=v(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r});}}function v(t){for(var e=[],r=O(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i});}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue;}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function _(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=v(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r});}}function b(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1);}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3);}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1);}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1);}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,v(t));}));}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c});}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,v(t));}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c});}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),h=u.parcatsViewModel,f=h.model.dimensions[u.model.dimensionInd],p=h.trace,d=c.top+c.height/2;h.dimensions.length>1&&f.displayInd===h.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var m=u.model.count,g=u.model.categoryLabel,y=m/u.parcatsViewModel.model.count,v={countLabel:m,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",v.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+v.categoryLabel+\"):\",v.probabilityLabel].join(\" \"));var _=x.join(\"<br>\");return {trace:p,x:o*(i-e.left),y:s*(d-e.top),text:_,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:v,eventData:[{data:p._input,fullData:p,count:m,category:g,probability:y}]}}function C(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,c=this;\"color\"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this);})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5);}));}(c),S(c,\"plotly_hover\",n.event)):(function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this);}));})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5);}(c),M(c,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,c):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),h=c.categoryViewModel,f=h.parcatsViewModel,p=f.model.dimensions[h.model.dimensionInd],d=f.trace,m=l.y+l.height/2;f.dimensions.length>1&&p.displayInd===f.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=h.model.categoryLabel,y=c.parcatsViewModel.model.count,v=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(v+=t.count);}));var x=h.model.count,_=0;f.pathSelection.each((function(t){t.model.color===c.color&&(_+=t.model.count);}));var b=v/y,w=v/_,T=v/x,k={countLabel:v,categoryLabel:g,probabilityLabel:b.toFixed(3)},A=[];-1!==h.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==h.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color ∩ \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return {trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:b,categorycount:x,colorcount:_,bandcolorcount:v}]}}(r,a,c):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this));})),i}(r,a,c)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}));}}function L(t){var e=t.parcatsViewModel;e.dragDimension||(b(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(m),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event));}function I(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=false,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this);})));})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()));}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=true,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd;}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==f&&a.model.dragX<f.x+f.width&&(a.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd;}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel);}}function z(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=O(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r;}));var s=false;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),h=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[h],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\";}} -1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,true),D(t.parcatsViewModel,true);})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r]);}));}}function O(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function D(t,e){var r;void 0===e&&(e=false),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}));}function R(t,e){function r(t){return e?t.transition():t} void 0===e&&(e=false),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r);}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this);})),a.exit().remove();}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),h=Math.floor(c*(s.y[1]-s.y[0])),f=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var m={trace:o,key:o.uid,model:i,x:f,y:p,width:u,height:h,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(m),N(m)),m}function B(t,e,r,n,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function h(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=h(e),i=h(r);return \"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var f=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),m=0;m<c.length;m++){var g,y=c[m];g=p>0?d*(y.count/p):0;for(var v,x=new Array(n.length),_=0;_<y.categoryInds.length;_++){var b=y.categoryInds[_],w=i[_][b],T=a[_];x[T]=n[T][w],n[T][w]+=g;var k=t.dimensions[T].categories[w],A=k.bands.length,M=k.bands[A-1];if(void 0===M||y.rawColor!==M.rawColor){var S=void 0===M?0:M.y+M.height;k.bands.push({key:S,color:y.color,rawColor:y.rawColor,height:g,width:k.width,count:y.count,y:S,categoryViewModel:k,parcatsViewModel:t});}else {var E=k.bands[A-1];E.height+=g,E.count+=y.count;}}v=\"hspline\"===t.pathShape?B(s,x,l,g,.5):B(s,x,l,g,0),f[m]={key:y.valueInds[0],model:y,height:g,leftXs:s,topYs:x,dimWidths:l,svgD:v,parcatsViewModel:t};}t.paths=f;}function j(t){var e=t.model.dimensions.map((function(t){return {displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var i=e[n].dimensionInd,a=t.model.dimensions[i];r.push(U(t,a));}t.dimensions=r;}function U(t,e){var r,n=t.model.dimensions.length,i=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),m=8*(h-f)/2,g=e.categories.map((function(t){return {displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(g.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c<f;c++)l=g[c].categoryInd,o=e.categories[l],a=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:m,bands:[],parcatsViewModel:t},m=m+a+8,u.push(s);return {key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}t.exports=function(t,e,r,n){f(r,t,n,e);};},37822:function(t,e,r){var n=r(27219);t.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i);};},59549:function(t,e,r){var n=r(87163),i=r(25829),a=r(80337),o=r(13792).u,s=r(93049).extendFlat,l=r(78032).templatedArray;t.exports={domain:o({name:\"parcoords\",trace:true,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({autoShadowDflt:true,editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:true,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:true,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:true,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:false,editTypeOverride:\"calc\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}};},23245:function(t,e,r){var n=r(77911),i=r(45568),a=r(71293).keyFun,o=r(71293).repeat,s=r(34809).sorterAsc,l=r(34809).strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var h=n.bar.snapClose;function f(t,e){return t*(1-h)+e*h}function p(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return  true;return  false}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s;}for(var l=e[a],c=l,h=a;i*h<i*o;h+=i){var p=h+i,d=e[p];if(i*r<i*f(l,d))return u(l,c);if(i*r<i*d||p===o)return u(d,l);c=l,l=d;}}function d(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth);}function m(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0);}function g(t){if(!t.brush.filterSpecified)return \"0,\"+t.height;for(var e,r,n,i=y(t.brush.filter.getConsolidated(),t.height),a=[0],o=i.length?i[0][0]:null,s=0;s<i.length;s++)r=(e=i[s])[1]-e[0],a.push(o),a.push(r),(n=s+1)<i.length&&(o=i[n][0]-e[1]);return a.push(t.height),a}function y(t,e){return t.map((function(t){return t.map((function(t){return Math.max(0,t*e)})).sort(s)}))}function v(){i.select(document.body).style(\"cursor\",null);}function x(t){t.attr(\"stroke-dasharray\",g);}function _(t,e){var r=i.select(t).selectAll(\".highlight, .highlight-shadow\");x(e?r.transition().duration(n.bar.snapDuration).each(\"end\",e):r);}function b(t,e){var r,i=t.brush,a=NaN,o={};if(i.filterSpecified){var s=t.height,l=i.filter.getConsolidated(),c=y(l,s),u=NaN,h=NaN,f=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(h=r?r-1:NaN,p&&p[0]>e){f=r;break}}if(a=u,isNaN(a)&&(a=isNaN(h)||isNaN(f)?isNaN(h)?f:h:e-c[h][1]<c[f][0]-e?h:f),!isNaN(a)){var d=c[a],m=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return e>=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);m&&(o.interval=l[a],o.intervalPix=d,o.region=m);}}if(t.ordinal&&!o.region){var g=t.unitTickvals,v=t.unitToPaddedPx.invert(e);for(r=0;r<g.length;r++){var x=[.25*g[Math.max(r-1,0)]+.75*g[r],.25*g[Math.min(r+1,g.length-1)]+.75*g[r]];if(v>=x[0]&&v<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=true,a._dragging=true,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=true,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),_(t.parentNode);}function T(t,e){var r=b(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\"crosshair\";r.clickableOrdinalRange?a=\"pointer\":r.region&&(a=r.region+\"-resize\"),i.select(document.body).style(\"cursor\",a);}function k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t);})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||v();})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=false,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0];}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=true,c.brushStartCallback();}(this,t);})).on(\"drag\",(function(t){w(this,t);})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=false),a._dragging=false,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=false,a.grabLocation=void 0,e.parent.inBrushDrag=false,v(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=true):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),_(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated());};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?_(t.parentNode,s):(s(),_(t.parentNode));}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);}(this,t);})));}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=false,t.svgBrush.extent=[[-1/0,1/0]];}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e);}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}t.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return {set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return [Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0]);},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o();}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,true),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",true).call(d).call(m).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",true).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var c=t.selectAll(\".highlight\").data(o);c.enter().append(\"line\").classed(\"highlight\",true).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),c.attr(\"y1\",(function(t){return t.height})).call(x);}(i,e,r);},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}};},79846:function(t,e,r){t.exports={attributes:r(59549),supplyDefaults:r(12842),calc:r(20113),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(67207),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}};},67207:function(t,e,r){var n=r(45568),i=r(4173).eV,a=r(58823),o=r(62972);e.name=\"parcoords\",e.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e);},e.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove());},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this,r=t.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":r,preserveAspectRatio:\"none\",x:0,y:0,width:t.style.width,height:t.style.height});})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\");}),60);};},20113:function(t,e,r){var n=r(34809).isArrayOrTypedArray,i=r(88856),a=r(71293).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})};},77911:function(t){t.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}};},12842:function(t,e,r){var n=r(34809),i=r(65477).hasColorscale,a=r(39356),o=r(13792).N,s=r(59008),l=r(29714),c=r(59549),u=r(23245),h=r(77911).maxDimensionCount,f=r(63197);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=false),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var h=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:h},l.setConvert(e._ax,i.layout),a(\"multiselect\");var f=a(\"constraintrange\");f&&(e.constraintrange=u.cleanRanges(f,e));}}t.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log(\"parcoords traces support up to \"+h+\" dimensions at the moment\"),d.splice(h));var m=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r;}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(m)&&m.length||(e.visible=false),f(e,m,\"values\",g);var y=n.extendFlat({},l.font,{size:Math.round(l.font.size/1.2)});n.coerceFont(u,\"labelfont\",y),n.coerceFont(u,\"tickfont\",y,{autoShadowDflt:true}),n.coerceFont(u,\"rangefont\",y),u(\"labelangle\"),u(\"labelside\"),u(\"unselected.line.color\"),u(\"unselected.line.opacity\");};},62935:function(t,e,r){var n=r(34809).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return !!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)};},83910:function(t,e,r){var n=r(79846);n.plot=r(58823),t.exports=n;},1293:function(t,e,r){var n=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(\"\\n\"),i=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(\"\\n\"),a=r(77911).maxDimensionCount,o=r(34809),s=1e-6,l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1});}function f(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:l});}(t),r.drawCompleted=true),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1);}))),r.drawCompleted=false);}(0);}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return (t>>>8*e)%256/255}function m(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=c;}return n}function g(t){var e=\"0\"+t;return e.substr(e.length-2)}function y(t){return t<a?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function v(t,e,r,n,i,a,s,l,c,u,h,f,p,d){for(var m=[[],[]],g=0;g<64;g++)m[0][g]=g===i?1:0,m[1][g]=g===a?1:0;s*=d,l*=d,c*=d,u*=d;var y=t.lines.canvasOverdrag*d,v=t.domain,x=t.canvasWidth*d,_=t.canvasHeight*d,b=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return o.extendFlat({key:h,resolution:[x,_],viewBoxPos:[s+y,l],viewBoxSize:[c,u],i0:i,i1:a,dim0A:m[0].slice(0,16),dim0B:m[0].slice(16,32),dim0C:m[0].slice(32,48),dim0D:m[0].slice(48,64),dim1A:m[1].slice(0,16),dim1B:m[1].slice(16,32),dim1C:m[1].slice(32,48),dim1D:m[1].slice(48,64),drwLayer:f,contextColor:[A[0]/255,A[1]/255,A[2]/255,\"auto\"!==M?A[3]*M:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:s+y)+(b-y)+k*v.x[0],scissorWidth:(n===r?x-s+y:c+.5)+(n===e?s+y:0),scissorY:l+w+T*v.y[0],scissorHeight:u,viewportX:b-y+k*v.x[0],viewportY:w+T*v.y[0],viewportWidth:x,viewportHeight:_},p)}function x(t){var e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return [Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,l,g,_,b,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:true,clearOnly:false},C=function(t){for(var e={},r=0;r<=a;r+=4)e[y(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(k),L=k.texture(u),I=[];z(e);var P=k({profile:false,blend:{enable:w,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:1,dstAlpha:1},equation:{rgb:\"add\",alpha:\"add\"},color:[0,0,0,0]},depth:{enable:!w,mask:true,func:\"less\",range:[0,1]},cull:{enable:true,face:\"back\"},scissor:{enable:true,box:{x:k.prop(\"scissorX\"),y:k.prop(\"scissorY\"),width:k.prop(\"scissorWidth\"),height:k.prop(\"scissorHeight\")}},viewport:{x:k.prop(\"viewportX\"),y:k.prop(\"viewportY\"),width:k.prop(\"viewportWidth\"),height:k.prop(\"viewportHeight\")},dither:false,vert:n,frag:i,primitive:\"lines\",lineWidth:S,attributes:C,uniforms:{resolution:k.prop(\"resolution\"),viewBoxPos:k.prop(\"viewBoxPos\"),viewBoxSize:k.prop(\"viewBoxSize\"),dim0A:k.prop(\"dim0A\"),dim1A:k.prop(\"dim1A\"),dim0B:k.prop(\"dim0B\"),dim1B:k.prop(\"dim1B\"),dim0C:k.prop(\"dim0C\"),dim1C:k.prop(\"dim1C\"),dim0D:k.prop(\"dim0D\"),dim1D:k.prop(\"dim1D\"),loA:k.prop(\"loA\"),hiA:k.prop(\"hiA\"),loB:k.prop(\"loB\"),hiB:k.prop(\"hiB\"),loC:k.prop(\"loC\"),hiC:k.prop(\"hiC\"),loD:k.prop(\"loD\"),hiD:k.prop(\"hiD\"),palette:L,contextColor:k.prop(\"contextColor\"),maskTexture:k.prop(\"maskTexture\"),drwLayer:k.prop(\"drwLayer\"),maskHeight:k.prop(\"maskHeight\")},offset:k.prop(\"offset\"),count:k.prop(\"count\")});function z(t){r=t.model,l=t.viewModel,g=l.dimensions.slice(),_=g[0]?g[0].values.length:0;var e=r.lines,n=T?e.color.map((function(t,r){return r/e.color.length})):e.color,i=function(t,e,r){for(var n,i=new Array(t*(a+4)),o=0,l=0;l<t;l++){for(var c=0;c<a;c++)i[o++]=c<e.length?e[c].paddedUnitValues[l]:.5;i[o++]=d(l,2),i[o++]=d(l,1),i[o++]=d(l,0),i[o++]=(n=r[l],Math.max(s,Math.min(.999999,n)));}return i}(_,g,n);!function(t,e,r){for(var n=0;n<=a;n+=4)t[y(n)](m(n/4,e,r));}(C,_,i),w||T||(L=k.texture(o.extendFlat({data:p(r.unitToColor,255)},u)));}return {render:function(t,e,n){var i,a,o,s=t.length,l=1/0,c=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<l&&(l=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>c&&(c=t[i].dim1.canvasX,o=i);0===s&&h(k,0,0,r.canvasWidth,r.canvasHeight);var u=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<g.length?g[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1];}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<g.length;e++){var s=e%8,l=(e-s)/8,c=Math.pow(2,s),u=g[e].brush.filter.get();if(!(u.length<2)){var h=x(u[0])[1];for(r=1;r<u.length;r++){var f=x(u[r]);for(n=h+1;n<f[0];n++)o[8*n+l]&=~c;h=Math.max(h,f[1]);}}}var p={shape:[8,2048],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:o};return b?b(p):b=k.texture(p),{maskTexture:b,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(w);for(i=0;i<s;i++){var p=t[i],d=p.dim0.crossfilterDimensionIndex,m=p.dim1.crossfilterDimensionIndex,y=p.canvasX,A=p.canvasY,M=y+p.panelSizeX,S=p.plotGlPixelRatio;if(e||!I[d]||I[d][0]!==y||I[d][1]!==M){I[d]=[y,M];var C=v(r,a,o,i,d,m,y,A,p.panelSizeX,p.panelSizeY,p.dim0.crossfilterDimensionIndex,w?0:T?2:1,u,S);E.clearOnly=n;var L=e?r.lines.blockLineCount:_;f(k,P,E,L,_,C);}}},readPixel:function(t,e){return k.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return k.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",L.destroy(),b&&b.destroy(),C)C[e].destroy();},update:z}};},63197:function(t){t.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n};},16019:function(t,e,r){var n=r(45568),i=r(34809),a=i.isArrayOrTypedArray,o=i.numberFormat,s=r(16401),l=r(29714),c=i.strRotate,u=i.strTranslate,h=r(30635),f=r(62203),p=r(88856),d=r(71293),m=d.keyFun,g=d.repeat,y=d.unwrap,v=r(62935),x=r(77911),_=r(23245),b=r(1293);function w(t,e,r){return i.aggNums(t,null,e,r)}function T(t,e){return A(w(Math.min,t,e),w(Math.max,t,e))}function k(t){var e=t.range;return e?A(e[0],e[1]):T(t.values,t._length)}function A(t,e){return !isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function M(t,e,r,i,a){var s,l,c=k(r);return i?n.scale.ordinal().domain(i.map((s=o(r.tickformat),l=a,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-c[0])/(c[1]-c[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(c).range([t-e,e])}function S(t){if(t.tickvals){var e=k(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return (t-e[0])/(e[1]-e[0])})))}}function E(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=s(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(true).domain(e).range(r.map((i=t,function(t){return t[i]})));var i;}));return function(t){return i.map((function(e){return e(t)}))}}function C(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function L(t,e,r){var a=y(e),o=a.trace,l=v.convertTypedArray(a.lineColor),c=o.line,u={color:s(o.unselected.line.color),opacity:o.unselected.line.opacity},h=p.extractOpts(c),f=h.reversescale?p.flipScale(a.cscale):a.cscale,d=o.domain,m=o.dimensions,g=t.width,_=o.labelangle,b=o.labelside,w=o.labelfont,T=o.tickfont,A=o.rangefont,M=i.extendDeepNoArrays({},c,{color:l.map(n.scale.linear().domain(k({values:l,range:[h.min,h.max],_length:o._length}))),blockLineCount:x.blockLineCount,canvasOverdrag:x.overdrag*x.canvasPixelRatio}),S=Math.floor(g*(d.x[1]-d.x[0])),C=Math.floor(t.height*(d.y[1]-d.y[0])),L=t.margin||{l:80,r:80,t:100,b:80},I=S,P=C;return {key:r,colCount:m.filter(v.isVisible).length,dimensions:m,tickDistance:x.tickDistance,unitToColor:E(f),lines:M,deselectedLines:u,labelAngle:_,labelSide:b,labelFont:w,tickFont:T,rangeFont:A,layoutWidth:g,layoutHeight:t.height,domain:d,translateX:d.x[0]*g,translateY:t.height-d.y[1]*t.height,pad:L,canvasWidth:I*x.canvasPixelRatio+2*M.canvasOverdrag,canvasHeight:P*x.canvasPixelRatio,width:I,height:P,canvasPixelRatio:x.canvasPixelRatio}}function I(t,e,r){var s=r.width,l=r.height,c=r.dimensions,u=r.canvasPixelRatio,h=function(t){return s*t/Math.max(1,r.colCount-1)},f=x.verticalPadding/l,p=function(t,e){return n.scale.linear().range([e,t-e])}(l,x.verticalPadding),d={key:r.key,xScale:h,model:r,inBrushDrag:false},m={};return d.dimensions=c.filter(v.isVisible).map((function(s,c){var g=function(t,e){return n.scale.linear().domain(k(t)).range([e,1-e])}(s,f),y=m[s.label];m[s.label]=(y||0)+1;var b=s.label+(y?\"__\"+y:\"\"),w=s.constraintrange,T=w&&w.length;T&&!a(w[0])&&(w=[w]);var A=T?w.map((function(t){return t.map(g)})):[[-1/0,1/0]],E=s.values;E.length>s._length&&(E=E.slice(0,s._length));var L,I=s.tickvals;function P(t,e){return {val:t,text:L[e]}}function z(t,e){return t.val-e.val}if(a(I)&&I.length){i.isTypedArray(I)&&(I=Array.from(I)),L=s.ticktext,a(L)&&L.length?L.length>I.length?L=L.slice(0,I.length):I.length>L.length&&(I=I.slice(0,L.length)):L=I.map(o(s.tickformat));for(var O=1;O<I.length;O++)if(I[O]<I[O-1]){for(var D=I.map(P).sort(z),R=0;R<I.length;R++)I[R]=D[R].val,L[R]=D[R].text;break}}else I=void 0;return E=v.convertTypedArray(E),{key:b,label:s.label,tickFormat:s.tickformat,tickvals:I,ticktext:L,ordinal:v.isOrdinal(s),multiselect:s.multiselect,xIndex:c,crossfilterDimensionIndex:c,visibleIndex:s._index,height:l,values:E,paddedUnitValues:E.map(g),unitTickvals:I&&I.map(g),xScale:h,x:h(c),canvasX:h(c)*u,unitToPaddedPx:p,domainScale:M(l,x.verticalPadding,s,I,L),ordinalScale:S(s),parent:d,model:r,brush:_.makeBrush(t,T,A,(function(){t.linePickActive(false);}),(function(){var e=d;e.focusLayer&&e.focusLayer.render(e.panels,true);var r=C(e);!t.contextShown()&&r?(e.contextLayer&&e.contextLayer.render(e.panels,true),t.contextShown(true)):t.contextShown()&&!r&&(e.contextLayer&&e.contextLayer.render(e.panels,true,true),t.contextShown(false));}),(function(r){if(d.focusLayer.render(d.panels,true),d.pickLayer&&d.pickLayer.render(d.panels,true),t.linePickActive(true),e&&e.filterChanged){var n=g.invert,a=r.map((function(t){return t.map(n).sort(i.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(d.key,s._index,a);}}))}})),d}function P(t){t.classed(x.cn.axisExtentText,true).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\");}function z(t,e){var r=\"top\"===e?1:-1,n=t*Math.PI/180;return {dir:r,dx:Math.sin(n),dy:Math.cos(n),degrees:t}}function O(t,e,r){for(var n=e.panels||(e.panels=[]),i=t.data(),a=0;a<i.length-1;a++){var o=n[a]||(n[a]={}),s=i[a],l=i[a+1];o.dim0=s,o.dim1=l,o.canvasX=s.canvasX,o.panelSizeX=l.canvasX-s.canvasX,o.panelSizeY=e.model.canvasHeight,o.y=0,o.canvasY=0,o.plotGlPixelRatio=r;}}function D(t,e){return l.tickText(t._ax,e,false).text}function R(t,e){if(t.ordinal)return \"\";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return D(t.model.dimensions[t.visibleIndex],n)}t.exports=function(t,e,r,a){var o=t._context.staticPlot,s=t._fullLayout,p=s._toppaper,d=s._glcontainer,w=t._context.plotGlPixelRatio,k=t._fullLayout.paper_bgcolor;!function(t){for(var e=0;e<t.length;e++)for(var r=0;r<t[e].length;r++)for(var 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e=n.event,r=this.width,i=this.height,o=n.mouse(this),s=o[0],l=o[1];if(s<0||l<0||s>=r||l>=i)return;var c=t.lineLayer.readPixel(s,i-1-l),u=0!==c[3],h=u?c[2]+256*(c[1]+256*c[0]):null,f={x:s,y:l,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:h};h!==N&&(u?a.hover(f):a.unhover&&a.unhover(f),N=h);}})),B.style(\"opacity\",(function(t){return t.pick?0:1})),p.style(\"background\",\"rgba(255, 255, 255, 0)\");var j=p.selectAll(\".\"+x.cn.parcoords).data(F,m);j.exit().remove(),j.enter().append(\"g\").classed(x.cn.parcoords,true).style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\"),j.attr(\"transform\",(function(t){return u(t.model.translateX,t.model.translateY)}));var U=j.selectAll(\".\"+x.cn.parcoordsControlView).data(g,m);U.enter().append(\"g\").classed(x.cn.parcoordsControlView,true),U.attr(\"transform\",(function(t){return u(t.model.pad.l,t.model.pad.t)}));var V=U.selectAll(\".\"+x.cn.yAxis).data((function(t){return 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n=r(9829),i=r(13792).u,a=r(80337),o=r(10229),s=r(3208).rb,l=r(3208).ay,c=r(93049).extendFlat,u=r(94850).k,h=a({editType:\"plot\",arrayOk:true,colorEditType:\"plot\"});t.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:true,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:true,editType:\"style\"},editType:\"calc\"},pattern:u,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:true,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:true,editType:\"plot\"},textfont:c({},h,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},h,{}),outsidetextfont:c({},h,{}),automargin:{valType:\"boolean\",dflt:false,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},h,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(44122);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a);},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a);};},44148:function(t,e,r){var n=r(10721),i=r(65657),a=r(78766),o={};function s(t){return function(e,r){return !!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a;}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},m=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=false;for(r=0;r<f;r++){var v,x,_;if(p){if(v=h[r],!n(v))continue;v=+v;}else v=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var b=d[x=String(x)];void 0===b?(d[x]=a.length,(_=-1!==l.indexOf(x))||(g+=v),a.push({v:v,label:x,color:m(u[r],x),i:r,pts:[r],hidden:_})):(y=true,(i=a[b]).v+=v,i.pts.push(r),i.hidden||(g+=v),false===i.color&&u[r]&&(i.color=m(u[r],x)));}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var h=i[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];false===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++));}}},makePullColorFn:s,generateExtendedColors:l};},46979:function(t,e,r){var n=r(10721),i=r(34809),a=r(55412),o=r(13792).N,s=r(17550).handleText,l=r(34809).coercePattern;function c(t,e){var r=i.isArrayOrTypedArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=true;break}}s||(o=0);}return {hasLabels:r,hasValues:a,len:o}}function u(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor);}t.exports={handleLabelsAndValues:c,handleMarkerDefaults:u,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var h=c(l(\"labels\"),l(\"values\")),f=h.len;if(e._hasLabels=h.hasLabels,e._hasValues=h.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),f){e._length=f,u(t,e,n,l,true),l(\"scalegroup\");var p,d=l(\"text\"),m=l(\"texttemplate\");if(m||(p=l(\"textinfo\",i.isArrayOrTypedArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),m||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:false,moduleHasUnselected:false,moduleHasConstrain:false,moduleHasCliponaxis:false,moduleHasTextangle:false,moduleHasInsideanchor:false}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\");}else \"none\"===p&&l(\"textposition\",\"none\");o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var v=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font);}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\");}else e.visible=false;}};},50568:function(t,e,r){var n=r(36040).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r};},75067:function(t,e,r){var n=r(62203),i=r(78766);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color);};},37252:function(t,e,r){var n=r(34809);function i(t){return  -1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||\"\"===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return (\"auto\"===t?0:t)*Math.PI/180};},49913:function(t,e,r){t.exports={attributes:r(55412),supplyDefaults:r(46979).supplyDefaults,supplyLayoutDefaults:r(13464),layoutAttributes:r(4031),calc:r(44148).calc,crossTraceCalc:r(44148).crossTraceCalc,plot:r(35734).plot,style:r(140),styleOne:r(32891),moduleType:\"trace\",name:\"pie\",basePlotModule:r(96052),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}};},4031:function(t){t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:true,editType:\"calc\"}};},13464:function(t,e,r){var n=r(34809),i=r(4031);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\");};},35734:function(t,e,r){var n=r(45568),i=r(44122),a=r(32141),o=r(78766),s=r(62203),l=r(34809),c=l.strScale,u=l.strTranslate,h=r(30635),f=r(84102),p=f.recordMinTextSize,d=f.clearMinTextSize,m=r(56155).TEXTPAD,g=r(37252),y=r(50568),v=r(34809).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=false),\"_hasHoverEvent\"in c||(c._hasHoverEvent=false),t.on(\"mouseover\",(function(t){var r=e._fullLayout,h=e._fullData[c.index];if(!e._dragging&&false!==r.hovermode){var f=h.hoverinfo;if(Array.isArray(f)&&(f=a.castHoverinfo({hoverinfo:[g.castOption(f,t.pts)],_module:c._module},r,0)),\"all\"===f&&(f=\"label+text+value+percent+name\"),h.hovertemplate||\"none\"!==f&&\"skip\"!==f&&f){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),v=r.separators,x=[];if(f&&-1!==f.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(h.hovertext||h.text,t.pts),f&&-1!==f.indexOf(\"text\")){var _=t.text;l.isValidTextValue(_)&&x.push(_);}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,v),f&&-1!==f.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,v),f&&-1!==f.indexOf(\"percent\")&&x.push(t.percentLabel);var b=h.hoverlabel,w=b.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join(\"<br>\"),name:h.hovertemplate||-1!==f.indexOf(\"name\")?h.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(b.bgcolor,t.pts)||t.color,borderColor:g.castOption(b.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(b.namelength,t.pts),textAlign:g.castOption(b.align,t.pts),hovertemplate:g.castOption(h.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,h)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=true;}c._hasHoverEvent=true,e.emit(\"plotly_hover\",{points:[y(t,h)],event:n.event});}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),c._hasHoverEvent=false),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=false);})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||false===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event));}));}function _(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,s=g.castOption(t.insidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,l=g.castOption(t.insidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,c=g.castOption(t.insidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,u=g.castOption(t.insidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,h=g.castOption(t.insidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,f=g.castOption(t.insidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow;return {color:n||o.contrast(e.color),family:i,size:a,weight:s,style:l,variant:c,textcase:u,lineposition:h,shadow:f}}function b(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(h.convertToTspans,e),c=s.bBox(o.node(),true);r.titleBox={width:c.width,height:c.height},o.remove();}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return {rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,m=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a);}};if(h||f){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\");}if(h||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\");}}if(s||d||h){var v=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/v,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a);}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||f)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,_=0,b=0;b<m.length;b++){var w=m[b].scale;if(_<w&&(_=w,x=b),!d&&_>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return {scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return {scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return (180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function C(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:true}}function L(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=P(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c=t.r/(void 0===(l=t.trace.aspectratio)?1:l),u=e.w*(a.domain.x[1]-a.domain.x[0])/2;return  -1!==a.title.position.indexOf(\"left\")?(u+=c,o.x-=(1+i)*c,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?u*=2:-1!==a.title.position.indexOf(\"right\")&&(u+=c,o.x+=(1+i)*c,s.tx-=t.titleBox.width/2),r=u/t.titleBox.width,n=I(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function I(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function P(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function z(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=I(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+P(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=I(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup);}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?u=(c=r.r)/i.aspectratio:c=(u=r.r)*i.aspectratio,l=(c*=(1+i.baseratio)/2)*u;}o=Math.min(o,l/r.vTotal);}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===i.type&&(h/=(1+i.baseratio)/2,h/=i.aspectratio),r.r=Math.sqrt(h);}}}(t,r);}function O(t,e){return [t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return  -1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),m=n.separators;if(s=h?[e.label]:[],f){var y=g.getFirstFilled(i.text,e.pts);v(y)&&s.push(y);}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\");}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var _=function(t){return {label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),b=g.getFirstFilled(i.text,e.pts);(v(b)||\"\"===b)&&(_.text=b),e.text=l.texttemplateString(x,_,t._fullLayout._d3locale,_,i._meta||{});}else e.text=\"\";}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=true;}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,f=a._size;d(\"pie\",a),b(e,t),z(e,f);var m=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),m=e[0],y=m.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\";}for(n=O(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=O(a,s),r.midangle=s,n=O(a,s+=l*r.v/2),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i));}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",true),v.exit().remove();var b=[[[],[]],[[],[]]],T=false;v.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else {i.pointNumber=i.i,i.curveNumber=y.index,b[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var c=m.cx,u=m.cy,f=n.select(this),d=f.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",true).style({\"pointer-events\":r?\"none\":\"all\"}),f.call(x,t,e),y.pull){var v=+g.castOption(y.pull,i.pts)||0;v>0&&(c+=v*i.pxmid[0],u+=v*i.pxmid[1]);}i.cxFinal=c,i.cyFinal=u;var k=y.hole;if(i.v===m.vTotal){var A=\"M\"+(c+i.px0[0])+\",\"+(u+i.px0[1])+I(i.px0,i.pxmid,true,1)+I(i.pxmid,i.px0,true,1)+\"Z\";k?d.attr(\"d\",\"M\"+(c+k*i.px0[0])+\",\"+(u+k*i.px0[1])+I(i.px0,i.pxmid,false,k)+I(i.pxmid,i.px0,false,k)+\"Z\"+A):d.attr(\"d\",A);}else {var M=I(i.px0,i.px1,true,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(c+k*i.px1[0])+\",\"+(u+k*i.px1[1])+I(i.px1,i.px0,false,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\");}else d.attr(\"d\",\"M\"+c+\",\"+u+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\");}D(t,i,m);var E=g.castOption(y.textposition,i.pts),L=f.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);L.enter().append(\"g\").classed(\"slicetext\",true),L.exit().remove(),L.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1);})),f=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return {color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,weight:g.castOption(t.outsidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,style:g.castOption(t.outsidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,variant:g.castOption(t.outsidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,textcase:g.castOption(t.outsidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,lineposition:g.castOption(t.outsidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,shadow:g.castOption(t.outsidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow}}(y,i,a.font):_(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,f).call(h.convertToTspans,t);var 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e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1);})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(h.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return {x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(m):L(m,f),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty));})),T&&function(t,e){var r,n,i,a,o,s,c,u,h,f,p,d,m;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var 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n.coerce(x,_,i.link,t,e)}b(\"label\"),b(\"arrowlen\"),b(\"source\"),b(\"target\"),b(\"value\"),b(\"line.color\"),b(\"line.width\"),b(\"hoverinfo\",t.hoverinfo),l(x,_,b,d),b(\"hovertemplate\");var w,T=o(f.paper_bgcolor).getLuminance()<.333,k=b(\"color\",T?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 0.2)\");function A(t){var e=o(t);if(!e.isValid())return t;var r=e.getAlpha();return r<=.8?e.setAlpha(r+.2):e=T?e.brighten():e.darken(),e.toRgbString()}b(\"hovercolor\",Array.isArray(k)?k.map(A):A(k)),b(\"customdata\"),u(x,_,{name:\"colorscales\",handleItemDefaults:h}),s(e,f,p),p(\"orientation\"),p(\"valueformat\"),p(\"valuesuffix\"),g.x.length&&g.y.length&&(w=\"freeform\"),p(\"arrangement\",w),n.coerceFont(p,\"textfont\",f.font,{autoShadowDflt:true}),e._length=null;};},71760:function(t,e,r){t.exports={attributes:r(33795),supplyDefaults:r(67940),calc:r(22915),plot:r(16506),moduleType:\"trace\",name:\"sankey\",basePlotModule:r(42229),selectPoints:r(74670),categories:[\"noOpacity\"],meta:{}};},16506:function(t,e,r){var n=r(45568),i=r(34809),a=i.numberFormat,o=r(90958),s=r(32141),l=r(78766),c=r(21541).cn,u=i._;function h(t){return \"\"!==t}function f(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e);}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\");}function m(t){return function(e){return  -1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return  -1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function y(t,e,r){e&&r&&f(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(x.bind(0,e,r,false));}function v(t,e,r){e&&r&&f(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(_.bind(0,e,r,false));}function x(t,e,r,n){n.style(\"fill\",(function(t){if(!t.link.concentrationscale)return t.tinyColorHoverHue})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return t.tinyColorHoverAlpha})),n.each((function(r){var n=r.link.label;\"\"!==n&&f(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===n})).style(\"fill\",(function(t){if(!t.link.concentrationscale)return t.tinyColorHoverHue})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return t.tinyColorHoverAlpha}));})),r&&f(e,t).selectAll(\".\"+c.sankeyNode).filter(g(t)).call(y);}function _(t,e,r,n){n.style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),n.each((function(r){var n=r.link.label;\"\"!==n&&f(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===n})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha}));})),r&&f(e,t).selectAll(c.sankeyNode).filter(g(t)).call(v);}function b(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return !Array.isArray(n)&&n}t.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,f=r._size,m=0;m<t._fullData.length;m++)if(t._fullData[m].visible&&t._fullData[m].type===c.sankey&&!t._fullData[m]._viewInitial){var g=t._fullData[m].node;t._fullData[m]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}};}var w=u(t,\"source:\")+\" \",T=u(t,\"target:\")+\" \",k=u(t,\"concentration:\")+\" \",A=u(t,\"incoming flow count:\")+\" \",M=u(t,\"outgoing flow count:\")+\" \";o(t,i,e,{width:f.w,height:f.h,margin:{t:f.t,r:f.r,b:f.b,l:f.l}},{linkEvents:{hover:function(e,r,i){ false!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,true)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})));},follow:function(e,i){if(false!==t._fullLayout.hovermode){var o=i.link.trace.link;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){for(var c=[],u=0,f=0;f<i.flow.links.length;f++){var m=i.flow.links[f];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===m.pointNumber){i.link.pointNumber===m.pointNumber&&(u=f),m.fullData=m.trace,o=i.link.trace.link;var g=v(m),y={valueLabel:a(i.valueFormat)(m.value)+i.valueSuffix};c.push({x:g[0],y:g[1],name:y.valueLabel,text:[m.label||\"\",w+m.source.label,T+m.target.label,m.concentrationscale?k+a(\"%0.2f\")(m.flow.labelConcentration):\"\"].filter(h).join(\"<br>\"),color:b(o,\"bgcolor\")||l.addOpacity(m.color,1),borderColor:b(o,\"bordercolor\"),fontFamily:b(o,\"font.family\"),fontSize:b(o,\"font.size\"),fontColor:b(o,\"font.color\"),fontWeight:b(o,\"font.weight\"),fontStyle:b(o,\"font.style\"),fontVariant:b(o,\"font.variant\"),fontTextcase:b(o,\"font.textcase\"),fontLineposition:b(o,\"font.lineposition\"),fontShadow:b(o,\"font.shadow\"),nameLength:b(o,\"namelength\"),textAlign:b(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[m]});}}s.loneHover(c,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:u}).each((function(){i.link.concentrationscale||p(this,.65),d(this);}));}}function v(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return \"v\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){ false!==t._fullLayout.hovermode&&(n.select(e).call(_.bind(0,i,a,true)),\"skip\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()));},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:true});}},nodeEvents:{hover:function(e,r,i){ false!==t._fullLayout.hovermode&&(n.select(e).call(y,r,i),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})));},follow:function(e,i){if(false!==t._fullLayout.hovermode){var o=i.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var l=n.select(e).select(\".\"+c.nodeRect),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),f=l.node().getBoundingClientRect(),m=f.left-2-u.left,g=f.right+2-u.left,y=f.top+f.height/4-u.top,v={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,_=t._fullLayout._invScaleY,w=s.loneHover({x0:x*m,x1:x*g,y:_*y,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(h).join(\"<br>\"),color:b(o,\"bgcolor\")||i.tinyColorHue,borderColor:b(o,\"bordercolor\"),fontFamily:b(o,\"font.family\"),fontSize:b(o,\"font.size\"),fontColor:b(o,\"font.color\"),fontWeight:b(o,\"font.weight\"),fontStyle:b(o,\"font.style\"),fontVariant:b(o,\"font.variant\"),fontTextcase:b(o,\"font.textcase\"),fontLineposition:b(o,\"font.lineposition\"),fontShadow:b(o,\"font.shadow\"),nameLength:b(o,\"namelength\"),textAlign:b(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w);}}},unhover:function(e,i,a){ false!==t._fullLayout.hovermode&&(n.select(e).call(v,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()));},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(v,r,i),s.click(t,{target:true});}}});};},90958:function(t,e,r){var n=r(32702),i=r(88640).Dj,a=r(45568),o=r(62369),s=r(68735),l=r(21541),c=r(65657),u=r(78766),h=r(62203),f=r(34809),p=f.strTranslate,d=f.strRotate,m=r(71293),g=m.keyFun,y=m.repeat,v=m.unwrap,x=r(30635),_=r(33626),b=r(4530),w=b.CAP_SHIFT,T=b.LINE_SPACING;function k(t,e,r){var n,i=v(e),a=i.trace,u=a.domain,h=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,m={justify:o.sankeyJustify,left:o.sankeyLeft,right:o.sankeyRight,center:o.sankeyCenter}[a.node.align],g=t.width*(u.x[1]-u.x[0]),y=t.height*(u.y[1]-u.y[0]),x=i._nodes,_=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(h?[g,y]:[y,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodeAlign(m).nodes(x).links(_);var w,T,k,A=n();for(var M in n.nodePadding()<p&&f.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var S,E=parseInt(i._groupLookup[M]);for(w=0;w<A.nodes.length;w++)if(A.nodes[w].pointNumber===E){S=A.nodes[w];break}if(S){var C={pointNumber:parseInt(M),x0:S.x0,x1:S.x1,y0:S.y0,y1:S.y1,partOfGroup:true,sourceLinks:[],targetLinks:[]};A.nodes.unshift(C),S.childrenNodes.unshift(C);}}if(function(){for(w=0;w<A.nodes.length;w++){var t,e,r=A.nodes[w],n={};for(T=0;T<r.targetLinks.length;T++)t=(e=r.targetLinks[T]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(T=0;T<i.length;T++){var a=n[t=i[T]],o=0,s={};for(k=0;k<a.length;k++)s[(e=a[k]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(k=0;k<a.length;k++)(e=a[k]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)));}var l=0;for(T=0;T<r.sourceLinks.length;T++)l+=r.sourceLinks[T].value;for(T=0;T<r.sourceLinks.length;T++)(e=r.sourceLinks[T]).concentrationOut=e.value/l;var u=0;for(T=0;T<r.targetLinks.length;T++)u+=r.targetLinks[T].value;for(T=0;T<r.targetLinks.length;T++)(e=r.targetLinks[T]).concenrationIn=e.value/u;}}(),a.node.x.length&&a.node.y.length){for(w=0;w<Math.min(a.node.x.length,a.node.y.length,A.nodes.length);w++)if(a.node.x[w]&&a.node.y[w]){var L=[a.node.x[w]*g,a.node.y[w]*y];A.nodes[w].x0=L[0]-d/2,A.nodes[w].x1=L[0]+d/2;var I=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=L[1]-I/2,A.nodes[w].y1=L[1]+I/2;}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return {x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(w=0;w<n.length;w++){var s=t[n[w].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r;}return i}(x=A.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p;})),n.update(A);}return {circular:b,key:r,trace:a,guid:f.randstr(),horizontal:h,width:g,height:y,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,linkArrowLength:a.link.arrowlen,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:h?y:g,dragPerpendicular:h?g:y,arrangement:a.arrangement,sankey:n,graph:A,forceLayouts:{},interactionState:{dragInProgress:false,hovered:false}}}function A(t,e,r){var n=c(e.color),i=c(e.hovercolor),a=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:u.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return \"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY-r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\":\"M \"+(n.targetX-e)+\" \"+(n.targetY-r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,f=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+c,d=\"C\"+s+\",\"+c+\" \"+l+\",\"+h+\" \"+a+\",\"+h,m=\"C\"+l+\",\"+f+\" \"+s+\",\"+u+\" \"+n+\",\"+u,g=e>0?\"L\"+(a+e)+\",\"+(h+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+f)+m+\"Z\"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=f.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||false,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}));}function C(t){t.call(E);}function L(t,e){t.call(C),e.attr(\"d\",M());}function I(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}));}function P(t){return t.link.width>1||t.linkLineWidth>0}function z(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function O(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t]);})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t]);})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=false);})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=false),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e);}));}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return 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n=r(80712).axisHoverFormat,i=r(3208).ay,a=r(3208).rb,o=r(87163),s=r(80337),l=r(94850).T,c=r(94850).k,u=r(62203),h=r(32660),f=r(93049).extendFlat,p=r(19326);t.exports={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\",anim:true},x0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\",anim:true},dx:{valType:\"number\",dflt:1,editType:\"calc\",anim:true},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\",anim:true},y0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\",anim:true},dy:{valType:\"number\",dflt:1,editType:\"calc\",anim:true},xperiod:{valType:\"any\",dflt:0,editType:\"calc\"},yperiod:{valType:\"any\",dflt:0,editType:\"calc\"},xperiod0:{valType:\"any\",editType:\"calc\"},yperiod0:{valType:\"any\",editType:\"calc\"},xperiodalignment:{valType:\"enumerated\",values:[\"start\",\"middle\",\"end\"],dflt:\"middle\",editType:\"calc\"},yperiodalignment:{valType:\"enumerated\",values:[\"start\",\"middle\",\"end\"],dflt:\"middle\",editType:\"calc\"},xhoverformat:n(\"x\"),yhoverformat:n(\"y\"),offsetgroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},alignmentgroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},stackgroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],editType:\"calc\"},groupnorm:{valType:\"enumerated\",values:[\"\",\"fraction\",\"percent\"],dflt:\"\",editType:\"calc\"},stackgaps:{valType:\"enumerated\",values:[\"infer 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n=r(65477).hasColorscale,i=r(28379),a=r(64726);t.exports=function(t,e){a.hasLines(e)&&n(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),a.hasMarkers(e)&&(n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}));};},32660:function(t){t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]};},75603:function(t,e,r){var n=r(26544),i=r(24782).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=true;var s={i:null,gap:true,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap;}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete t[1].trace);}t.exports=function(t,e){\"group\"===t._fullLayout.scattermode&&function(t,e){for(var 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n.extendFlat(t,{color:o(h,T),x0:k-M,x1:k+M,xLabelVal:C,y0:A-M,y1:A+M,yLabelVal:L,spikeDistance:b(T),hovertemplate:h.hovertemplate}),l(T,h,t),a.getComponentMethod(\"errorbars\",\"hoverInfo\")(T,h,t),[t]}}function I(t){if(!t)return  false;var e=t.node();try{var r=new DOMPoint(g[0],g[1]);return e.isPointInFill(r)}catch(t){var n=e.ownerSVGElement.createSVGPoint();return n.x=g[0],n.y=g[1],e.isPointInFill(n)}}if(-1!==y.indexOf(\"fills\")&&h._fillElement&&I(h._fillElement)&&!I(h._fillExclusionElement)){var P=function(t){var e,r,n,i,a,o,s,l,c,u=[],h=1/0,d=-1/0,m=1/0,y=-1/0;for(e=0;e<t.length;e++){var v=t[e];v.contains(g)&&(u.push(v),m=Math.min(m,v.ymin),y=Math.max(y,v.ymax));}if(0===u.length)return null;for(r=((m=Math.max(m,0))+(y=Math.min(y,p._length)))/2,e=0;e<u.length;e++)for(i=u[e].pts,n=1;n<i.length;n++)(l=i[n-1][1])>r!=(c=i[n][1])>=r&&(o=i[n-1][0],s=i[n][0],c-l&&(a=o+(s-o)*(r-l)/(c-l),h=Math.min(h,a),d=Math.max(d,a)));return 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n=r(64726);t.exports={hasLines:n.hasLines,hasMarkers:n.hasMarkers,hasText:n.hasText,isBubble:n.isBubble,attributes:r(36640),layoutAttributes:r(26667),supplyDefaults:r(40247),crossTraceDefaults:r(53044),supplyLayoutDefaults:r(12332),calc:r(26544).calc,crossTraceCalc:r(75603),arraysToCalcdata:r(99203),plot:r(36098),colorbar:r(21146),formatLabels:r(15294),style:r(9408).style,styleOnSelect:r(9408).styleOnSelect,hoverPoints:r(37255),selectPoints:r(32665),animatable:true,moduleType:\"trace\",name:\"scatter\",basePlotModule:r(37703),categories:[\"cartesian\",\"svg\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\",\"zoomScale\"],meta:{}};},26667:function(t){t.exports={scattermode:{valType:\"enumerated\",values:[\"group\",\"overlay\"],dflt:\"overlay\",editType:\"calc\"},scattergap:{valType:\"number\",min:0,max:1,editType:\"calc\"}};},12332:function(t,e,r){var n=r(34809),i=r(26667);t.exports=function(t,e){var 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t.visible&&(t.mode&&-1!==t.mode.indexOf(\"markers\")||\"splom\"===t.type)},hasText:function(t){return t.visible&&t.mode&&-1!==t.mode.indexOf(\"text\")},isBubble:function(t){var e=t.marker;return n.isPlainObject(e)&&(n.isArrayOrTypedArray(e.size)||i(e.size))}};},663:function(t,e,r){var n=r(34809);t.exports=function(t,e,r,i,a){a=a||{},i(\"textposition\"),n.coerceFont(i,\"textfont\",a.font||r.font,a),a.noSelect||(i(\"selected.textfont.color\"),i(\"unselected.textfont.color\"));};},99867:function(t,e,r){var n=r(34809),i=r(33626);t.exports=function(t,e,r,a){var o,s=a(\"x\"),l=a(\"y\");if(i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\"],r),s){var c=n.minRowLength(s);l?o=Math.min(c,n.minRowLength(l)):(o=c,a(\"y0\"),a(\"dy\"));}else {if(!l)return 0;o=n.minRowLength(l),a(\"x0\"),a(\"dx\");}return e._length=o,o};},14117:function(t,e,r){var n=r(36640),i=r(80337),a=r(87163),o=r(80712).axisHoverFormat,s=r(3208).rb,l=r(3208).ay,c=r(9829),u=r(84770),h=r(49467),f=r(93049).extendFlat,p=r(13582).overrideAll,d=r(62994),m=n.line,g=n.marker,y=g.line,v=f({width:m.width,dash:{valType:\"enumerated\",values:d(u),dflt:\"solid\"}},a(\"line\")),x=t.exports=p({x:n.x,y:n.y,z:{valType:\"data_array\"},text:f({},n.text,{}),texttemplate:l({},{}),hovertext:f({},n.hovertext,{}),hovertemplate:s(),xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),zhoverformat:o(\"z\"),mode:f({},n.mode,{dflt:\"lines+markers\"}),surfaceaxis:{valType:\"enumerated\",values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:\"color\"},projection:{x:{show:{valType:\"boolean\",dflt:false},opacity:{valType:\"number\",min:0,max:1,dflt:1},scale:{valType:\"number\",min:0,max:10,dflt:2/3}},y:{show:{valType:\"boolean\",dflt:false},opacity:{valType:\"number\",min:0,max:1,dflt:1},scale:{valType:\"number\",min:0,max:10,dflt:2/3}},z:{show:{valType:\"boolean\",dflt:false},opacity:{valType:\"number\",min:0,max:1,dflt:1},scale:{valType:\"number\",min:0,max:10,dflt:2/3}}},connectgaps:n.connectgaps,line:v,marker:f({symbol:{valType:\"enumerated\",values:d(h),dflt:\"circle\",arrayOk:true},size:f({},g.size,{dflt:8}),sizeref:g.sizeref,sizemin:g.sizemin,sizemode:g.sizemode,opacity:f({},g.opacity,{arrayOk:false}),colorbar:g.colorbar,line:f({width:f({},y.width,{arrayOk:false})},a(\"marker.line\"))},a(\"marker\")),textposition:f({},n.textposition,{dflt:\"top 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n=[i(t.x,t.error_x,e[0],r.xaxis),i(t.y,t.error_y,e[1],r.yaxis),i(t.z,t.error_z,e[2],r.zaxis)],a=function(t){for(var e=0;e<t.length;e++)if(t[e])return t[e].length;return 0}(n);if(0===a)return null;for(var o=new Array(a),s=0;s<a;s++){for(var l=[[0,0,0],[0,0,0]],c=0;c<3;c++)if(n[c])for(var u=0;u<2;u++)l[u][c]=n[c][s][u];o[s]=l;}return o};},16533:function(t,e,r){var n=r(99098).gl_line3d,i=r(99098).gl_scatter3d,a=r(99098).gl_error3d,o=r(99098).gl_mesh3d,s=r(99098).delaunay_triangulate,l=r(34809),c=r(55010),u=r(46998).formatColor,h=r(92527),f=r(84770),p=r(49467),d=r(29714),m=r(36040).appendArrayPointValue,g=r(95447);function y(t,e){this.scene=t,this.uid=e,this.linePlot=null,this.scatterPlot=null,this.errorBars=null,this.textMarkers=null,this.delaunayMesh=null,this.color=null,this.mode=\"\",this.dataPoints=[],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.textLabels=null,this.data=null;}var v=y.prototype;function x(t){return null==t?0:t.indexOf(\"left\")>-1?-1:t.indexOf(\"right\")>-1?1:0}function _(t){return null==t?0:t.indexOf(\"top\")>-1?-1:t.indexOf(\"bottom\")>-1?1:0}function b(t,e){return e(4*t)}function w(t){return p[t]}function T(t,e,r,n,i){var a=null;if(l.isArrayOrTypedArray(t)){a=[];for(var o=0;o<e;o++) void 0===t[o]?a[o]=n:a[o]=r(t[o],i);}else a=r(t,l.identity);return a}function k(t){if(l.isArrayOrTypedArray(t)){var e=t[0];return l.isArrayOrTypedArray(e)&&(t=e),\"rgb(\"+t.slice(0,3).map((function(t){return Math.round(255*t)}))+\")\"}return null}function A(t){return l.isArrayOrTypedArray(t)?4===t.length&&\"number\"==typeof t[0]?k(t):t.map(k):null}v.handlePick=function(t){if(t.object&&(t.object===this.linePlot||t.object===this.delaunayMesh||t.object===this.textMarkers||t.object===this.scatterPlot)){var e=t.index=t.data.index;return t.object.highlight&&t.object.highlight(null),this.scatterPlot&&(t.object=this.scatterPlot,this.scatterPlot.highlight(t.data)),t.textLabel=\"\",this.textLabels&&(l.isArrayOrTypedArray(this.textLabels)?(this.textLabels[e]||0===this.textLabels[e])&&(t.textLabel=this.textLabels[e]):t.textLabel=this.textLabels),t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]],true}},v.update=function(t){var e,r,p,y,v=this.scene.glplot.gl,k=f.solid;this.data=t;var M=function(t,e){var r,n,i,a,o,s,f=[],p=t.fullSceneLayout,y=t.dataScale,v=p.xaxis,k=p.yaxis,A=p.zaxis,M=e.marker,S=e.line,E=e.x||[],C=e.y||[],L=e.z||[],I=E.length,P=e.xcalendar,z=e.ycalendar,O=e.zcalendar;for(o=0;o<I;o++)r=v.d2l(E[o],0,P)*y[0],n=k.d2l(C[o],0,z)*y[1],i=A.d2l(L[o],0,O)*y[2],f[o]=[r,n,i];if(Array.isArray(e.text))s=e.text;else if(l.isTypedArray(e.text))s=Array.from(e.text);else if(void 0!==e.text)for(s=new Array(I),o=0;o<I;o++)s[o]=e.text;function D(t,e){var r=p[t];return d.tickText(r,r.d2l(e),true).text}var R=e.texttemplate;if(R){var F=t.fullLayout._d3locale,B=Array.isArray(R),N=B?Math.min(R.length,I):I,j=B?function(t){return R[t]}:function(){return R};for(s=new Array(N),o=0;o<N;o++){var U={x:E[o],y:C[o],z:L[o]},V={xLabel:D(\"xaxis\",E[o]),yLabel:D(\"yaxis\",C[o]),zLabel:D(\"zaxis\",L[o])},q={};m(q,e,o);var H=e._meta||{};s[o]=l.texttemplateString(j(o),V,F,q,U,H);}}if(a={position:f,mode:e.mode,text:s},\"line\"in e&&(a.lineColor=u(S,1,I),a.lineWidth=S.width,a.lineDashes=S.dash),\"marker\"in e){var G=h(e);a.scatterColor=u(M,1,I),a.scatterSize=T(M.size,I,b,20,G),a.scatterMarker=T(M.symbol,I,w,\"●\"),a.scatterLineWidth=M.line.width,a.scatterLineColor=u(M.line,1,I),a.scatterAngle=0;}\"textposition\"in e&&(a.textOffset=function(t){var e=[0,0];if(Array.isArray(t))for(var r=0;r<t.length;r++)e[r]=[0,0],t[r]&&(e[r][0]=x(t[r]),e[r][1]=_(t[r]));else e[0]=x(t),e[1]=_(t);return e}(e.textposition),a.textColor=u(e.textfont,1,I),a.textSize=T(e.textfont.size,I,l.identity,12),a.textFontFamily=e.textfont.family,a.textFontWeight=e.textfont.weight,a.textFontStyle=e.textfont.style,a.textFontVariant=e.textfont.variant,a.textAngle=0);var Z=[\"x\",\"y\",\"z\"];for(a.project=[false,false,false],a.projectScale=[1,1,1],a.projectOpacity=[1,1,1],o=0;o<3;++o){var W=e.projection[Z[o]];(a.project[o]=W.show)&&(a.projectOpacity[o]=W.opacity,a.projectScale[o]=W.scale);}a.errorBounds=g(e,y,p);var Y=function(t){for(var e=[0,0,0],r=[[0,0,0],[0,0,0],[0,0,0]],n=[1,1,1],i=0;i<3;i++){var a=t[i];a&&false!==a.copy_zstyle&&false!==t[2].visible&&(a=t[2]),a&&a.visible&&(e[i]=a.width/2,r[i]=c(a.color),n[i]=a.thickness);}return {capSize:e,color:r,lineWidth:n}}([e.error_x,e.error_y,e.error_z]);return a.errorColor=Y.color,a.errorLineWidth=Y.lineWidth,a.errorCapSize=Y.capSize,a.delaunayAxis=e.surfaceaxis,a.delaunayColor=c(e.surfacecolor),a}(this.scene,t);\"mode\"in M&&(this.mode=M.mode),\"lineDashes\"in M&&M.lineDashes in f&&(k=f[M.lineDashes]),this.color=A(M.scatterColor)||A(M.lineColor),this.dataPoints=M.position,e={gl:this.scene.glplot.gl,position:M.position,color:M.lineColor,lineWidth:M.lineWidth||1,dashes:k[0],dashScale:k[1],opacity:t.opacity,connectGaps:t.connectgaps},-1!==this.mode.indexOf(\"lines\")?this.linePlot?this.linePlot.update(e):(this.linePlot=n(e),this.linePlot._trace=this,this.scene.glplot.add(this.linePlot)):this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose(),this.linePlot=null);var S=t.opacity;if(t.marker&&void 0!==t.marker.opacity&&(S*=t.marker.opacity),r={gl:this.scene.glplot.gl,position:M.position,color:M.scatterColor,size:M.scatterSize,glyph:M.scatterMarker,opacity:S,orthographic:true,lineWidth:M.scatterLineWidth,lineColor:M.scatterLineColor,project:M.project,projectScale:M.projectScale,projectOpacity:M.projectOpacity},-1!==this.mode.indexOf(\"markers\")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=i(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),y={gl:this.scene.glplot.gl,position:M.position,glyph:M.text,color:M.textColor,size:M.textSize,angle:M.textAngle,alignment:M.textOffset,font:M.textFontFamily,fontWeight:M.textFontWeight,fontStyle:M.textFontStyle,fontVariant:M.textFontVariant,orthographic:true,lineWidth:0,project:false,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf(\"text\")?this.textMarkers?this.textMarkers.update(y):(this.textMarkers=i(y),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),p={gl:this.scene.glplot.gl,position:M.position,color:M.errorColor,error:M.errorBounds,lineWidth:M.errorLineWidth,capSize:M.errorCapSize,opacity:t.opacity},this.errorBars?M.errorBounds?this.errorBars.update(p):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):M.errorBounds&&(this.errorBars=a(p),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),M.delaunayAxis>=0){var E=function(t,e,r){var n,i=(r+1)%3,a=(r+2)%3,o=[],l=[];for(n=0;n<t.length;++n){var c=t[n];!isNaN(c[i])&&isFinite(c[i])&&!isNaN(c[a])&&isFinite(c[a])&&(o.push([c[i],c[a]]),l.push(n));}var u=s(o);for(n=0;n<u.length;++n)for(var h=u[n],f=0;f<h.length;++f)h[f]=l[h[f]];return {positions:t,cells:u,meshColor:e}}(M.position,M.delaunayColor,M.delaunayAxis);E.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(E):(E.gl=v,this.delaunayMesh=o(E),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh));}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null);},v.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose());},t.exports=function(t,e){var r=new y(t,e.uid);return r.update(e),r};},82418:function(t,e,r){var n=r(33626),i=r(34809),a=r(64726),o=r(24272),s=r(98168),l=r(663),c=r(14117);t.exports=function(t,e,r,u){function h(r,n){return i.coerce(t,e,c,r,n)}var f=function(t,e,r,i){var a=0,o=r(\"x\"),s=r(\"y\"),l=r(\"z\");return n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],i),o&&s&&l&&(a=Math.min(o.length,s.length,l.length),e._length=e._xlength=e._ylength=e._zlength=a),a}(t,e,h,u);if(f){h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"xhoverformat\"),h(\"yhoverformat\"),h(\"zhoverformat\"),h(\"mode\"),a.hasMarkers(e)&&o(t,e,r,u,h,{noSelect:true,noAngle:true}),a.hasLines(e)&&(h(\"connectgaps\"),s(t,e,r,u,h)),a.hasText(e)&&(h(\"texttemplate\"),l(t,e,u,h,{noSelect:true,noFontShadow:true,noFontLineposition:true,noFontTextcase:true}));var p=(e.line||{}).color,d=(e.marker||{}).color;h(\"surfaceaxis\")>=0&&h(\"surfacecolor\",p||d);for(var m=[\"x\",\"y\",\"z\"],g=0;g<3;++g){var y=\"projection.\"+m[g];h(y+\".show\")&&(h(y+\".opacity\"),h(y+\".scale\"));}var v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,p||d||r,{axis:\"z\"}),v(t,e,p||d||r,{axis:\"y\",inherit:\"z\"}),v(t,e,p||d||r,{axis:\"x\",inherit:\"z\"});}else e.visible=false;};},17822:function(t,e,r){t.exports={plot:r(16533),attributes:r(14117),markerSymbols:r(49467),supplyDefaults:r(82418),colorbar:[{container:\"marker\",min:\"cmin\",max:\"cmax\"},{container:\"line\",min:\"cmin\",max:\"cmax\"}],calc:r(37593),moduleType:\"trace\",name:\"scatter3d\",basePlotModule:r(2487),categories:[\"gl3d\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}};},54637:function(t,e,r){var n=r(19326),i=r(36640),a=r(9829),o=r(3208).rb,s=r(3208).ay,l=r(87163),c=r(93049).extendFlat,u=i.marker,h=i.line,f=u.line;t.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:c({},i.mode,{dflt:\"markers\"}),text:c({},i.text,{}),texttemplate:s({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:c({},i.hovertext,{}),line:{color:h.color,width:h.width,dash:h.dash,backoff:h.backoff,shape:c({},h.shape,{values:[\"linear\",\"spline\"]}),smoothing:h.smoothing,editType:\"calc\"},connectgaps:i.connectgaps,fill:c({},i.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n(),marker:c({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,angle:u.angle,angleref:u.angleref,standoff:u.standoff,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:c({width:f.width,editType:\"calc\"},l(\"marker.line\")),gradient:u.gradient,editType:\"calc\"},l(\"marker\")),textfont:i.textfont,textposition:i.textposition,selected:i.selected,unselected:i.unselected,hoverinfo:c({},a.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:i.hoveron,hovertemplate:o(),zorder:i.zorder};},68001:function(t,e,r){var n=r(10721),i=r(77272),a=r(99203),o=r(48861),s=r(26544).calcMarkerSize,l=r(26571);t.exports=function(t,e){var r=e._carpetTrace=l(t,e);if(r&&r.visible&&\"legendonly\"!==r.visible){var c;e.xaxis=r.xaxis,e.yaxis=r.yaxis;var u,h,f=e._length,p=new Array(f),d=false;for(c=0;c<f;c++)if(u=e.a[c],h=e.b[c],n(u)&&n(h)){var m=r.ab2xy(+u,+h,true),g=r.isVisible(+u,+h);g||(d=true),p[c]={x:m[0],y:m[1],a:u,b:h,vis:g};}else p[c]={x:false,y:false};return e._needsCull=d,p[0].carpet=r,p[0].trace=e,s(e,f),i(t,e),a(p,e),o(p,e),p}};},16986:function(t,e,r){var n=r(34809),i=r(32660),a=r(64726),o=r(24272),s=r(98168),l=r(91602),c=r(663),u=r(54114),h=r(54637);t.exports=function(t,e,r,f){function p(r,i){return n.coerce(t,e,h,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var 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r.yLabel=c[1].toFixed(3),r};},59420:function(t,e,r){var n=r(37255),i=r(34809).fillText;t.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&false!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,h=c-u;return s.x0=Math.max(Math.min(s.x0,h),u),s.x1=Math.max(Math.min(s.x1,h),u),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(f,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var y=(f.hi||p.hoverinfo).split(\"+\");-1!==y.indexOf(\"all\")&&(y=[\"a\",\"b\",\"text\"]),-1!==y.indexOf(\"a\")&&v(d.aaxis,f.a),-1!==y.indexOf(\"b\")&&v(d.baxis,f.b),g.push(\"y: \"+s.yLabel),-1!==y.indexOf(\"text\")&&i(f,p,g),s.extraText=g.join(\"<br>\");}return o}function v(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": 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n=r(3208).rb,i=r(3208).ay,a=r(19326),o=r(36640),s=r(9829),l=r(87163),c=r(94850).T,u=r(93049).extendFlat,h=r(13582).overrideAll,f=o.marker,p=o.line,d=f.line;t.exports=h({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=r(10721),i=r(63821).BADNUM,a=r(77272),o=r(99203),s=r(48861),l=r(34809).isArrayOrTypedArray,c=r(34809)._;function u(t){return t&&\"string\"==typeof t}t.exports=function(t,e){var r,h=l(e.locations),f=h?e.locations.length:e._length,p=new Array(f);r=e.geojson?function(t){return u(t)||n(t)}:u;for(var d=0;d<f;d++){var m=p[d]={};if(h){var g=e.locations[d];m.loc=r(g)?g:null;}else {var y=e.lon[d],v=e.lat[d];n(y)&&n(v)?m.lonlat=[+y,+v]:m.lonlat=[i,i];}}return o(p,e),a(t,e),s(p,e),f&&(p[0].t={labels:{lat:c(t,\"lat:\")+\" \",lon:c(t,\"lon:\")+\" \"}}),p};},27386:function(t,e,r){var n=r(34809),i=r(64726),a=r(24272),o=r(98168),s=r(663),l=r(54114),c=r(6893);t.exports=function(t,e,r,u){function h(r,i){return n.coerce(t,e,c,r,i)}var f,p=h(\"locations\");if(p&&p.length){var d,m=h(\"geojson\");(\"string\"==typeof m&&\"\"!==m||n.isPlainObject(m))&&(d=\"geojson-id\"),\"geojson-id\"===h(\"locationmode\",d)&&h(\"featureidkey\"),f=p.length;}else {var g=h(\"lon\")||[],y=h(\"lat\")||[];f=Math.min(g.length,y.length);}f?(e._length=f,h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),i.hasMarkers(e)&&a(t,e,r,u,h,{gradient:true}),i.hasLines(e)&&(o(t,e,r,u,h),h(\"connectgaps\")),i.hasText(e)&&(h(\"texttemplate\"),s(t,e,u,h)),h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)):e.visible=false;};},71873:function(t){t.exports=function(t,e,r,n,i){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var a=n[i];return a.fIn&&a.fIn.properties&&(t.properties=a.fIn.properties),t};},57413:function(t,e,r){var n=r(29714);t.exports=function(t,e,r){var i={},a=r[e.geo]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),true).text,i.latLabel=n.tickText(a,a.c2l(o[1]),true).text,i};},40636:function(t,e,r){var n=r(32141),i=r(63821).BADNUM,a=r(11539),o=r(34809).fillText,s=r(6893);t.exports=function(t,e,r){var l=t.cd,c=l[0].trace,u=t.xa,h=t.ya,f=t.subplot,p=f.projection.isLonLatOverEdges,d=f.project;if(n.getClosest(l,(function(t){var n=t.lonlat;if(n[0]===i)return 1/0;if(p(n))return 1/0;var a=d(n),o=d([e,r]),s=Math.abs(a[0]-o[0]),l=Math.abs(a[1]-o[1]),c=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-c,1-3/c)}),t),false!==t.index){var m=l[t.index],g=m.lonlat,y=[u.c2p(g),h.c2p(g)],v=m.mrc||1;t.x0=y[0]-v,t.x1=y[0]+v,t.y0=y[1]-v,t.y1=y[1]+v,t.loc=m.loc,t.lon=g[0],t.lat=g[1];var x={};x[c.geo]={_subplot:f};var _=c._module.formatLabels(m,c,x);return t.lonLabel=_.lonLabel,t.latLabel=_.latLabel,t.color=a(c,m),t.extraText=function(t,e,r,n){if(!t.hovertemplate){var i=e.hi||t.hoverinfo,a=\"all\"===i?s.hoverinfo.flags:i.split(\"+\"),l=-1!==a.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==a.indexOf(\"lon\"),u=-1!==a.indexOf(\"lat\"),h=-1!==a.indexOf(\"text\"),f=[];return l?f.push(e.loc):c&&u?f.push(\"(\"+p(r.latLabel)+\", 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d=o.locationmode,m=\"geojson-id\"===d?s.extractTraceFeature(t):a(o,f.topojson);for(r=0;r<p;r++){n=t[r];var g=\"geojson-id\"===d?n.fOut:s.locationToFeature(d,n.loc,m);n.lonlat=g?g.properties.ct:[c,c];}}var y,v,x={padded:true};if(\"geojson\"===h.fitbounds&&\"geojson-id\"===o.locationmode){var _=s.computeBbox(s.getTraceGeojson(o));y=[_[0],_[2]],v=[_[1],_[3]];}else {for(y=new Array(p),v=new Array(p),r=0;r<p;r++)n=t[r],y[r]=n.lonlat[0],v[r]=n.lonlat[1];x.ppad=u(o,p);}o._extremes.lon=l(h.lonaxis._ax,y,x),o._extremes.lat=l(h.lataxis._ax,v,x);},plot:function(t,e,r){var a=e.layers.frontplot.select(\".scatterlayer\"),s=i.makeTraceGroups(a,r,\"trace scattergeo\");function l(t,e){t.lonlat[0]===c&&n.select(e).remove();}s.selectAll(\"*\").remove(),s.each((function(e){var r=n.select(this),a=e[0].trace;if(h.hasLines(a)||\"none\"!==a.fill){var s=o.calcTraceToLineCoords(e),c=\"none\"!==a.fill?o.makePolygon(s):o.makeLine(s);r.selectAll(\"path.js-line\").data([{geojson:c,trace:a}]).enter().append(\"path\").classed(\"js-line\",true).style(\"stroke-miterlimit\",2);}h.hasMarkers(a)&&r.selectAll(\"path.point\").data(i.identity).enter().append(\"path\").classed(\"point\",true).each((function(t){l(t,this);})),h.hasText(a)&&r.selectAll(\"g\").data(i.identity).enter().append(\"g\").append(\"text\").each((function(t){l(t,this);})),f(t,e);}));}};},45852:function(t,e,r){var n=r(64726),i=r(63821).BADNUM;t.exports=function(t,e){var r,a,o,s,l,c=t.cd,u=t.xaxis,h=t.yaxis,f=[],p=c[0].trace;if(!n.hasMarkers(p)&&!n.hasText(p))return [];if(false===e)for(l=0;l<c.length;l++)c[l].selected=0;else for(l=0;l<c.length;l++)(a=(r=c[l]).lonlat)[0]!==i&&(o=u.c2p(a),s=h.c2p(a),e.contains([o,s],null,l,t)?(f.push({pointNumber:l,lon:a[0],lat:a[1]}),r.selected=1):r.selected=0);return f};},60367:function(t,e,r){var n=r(45568),i=r(62203),a=r(78766),o=r(9408),s=o.stylePoints,l=o.styleText;t.exports=function(t,e){e&&function(t,e){var r=e[0].trace,o=e[0].node3;o.style(\"opacity\",e[0].trace.opacity),s(o,r,t),l(o,r,t),o.selectAll(\"path.js-line\").style(\"fill\",\"none\").each((function(t){var e=n.select(this),r=t.trace,o=r.line||{};e.call(a.stroke,o.color).call(i.dashLine,o.dash||\"\",o.width||0),\"none\"!==r.fill&&e.call(a.fill,r.fillcolor);}));}(t,e);};},92089:function(t,e,r){var n=r(9829),i=r(80337),a=r(19326),o=r(36640),s=r(80712).axisHoverFormat,l=r(87163),c=r(62994),u=r(93049).extendFlat,h=r(13582).overrideAll,f=r(29483).DASHES,p=o.line,d=o.marker,m=d.line,g=t.exports=h({x:o.x,x0:o.x0,dx:o.dx,y:o.y,y0:o.y0,dy:o.dy,xperiod:o.xperiod,yperiod:o.yperiod,xperiod0:o.xperiod0,yperiod0:o.yperiod0,xperiodalignment:o.xperiodalignment,yperiodalignment:o.yperiodalignment,xhoverformat:s(\"x\"),yhoverformat:s(\"y\"),text:o.text,hovertext:o.hovertext,textposition:o.textposition,textfont:i({noFontShadow:true,noFontLineposition:true,noFontTextcase:true,editType:\"calc\",colorEditType:\"style\",arrayOk:true,noNumericWeightValues:true,variantValues:[\"normal\",\"small-caps\"]}),mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"]},line:{color:p.color,width:p.width,shape:{valType:\"enumerated\",values:[\"linear\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},dash:{valType:\"enumerated\",values:c(f),dflt:\"solid\"}},marker:u({},l(\"marker\"),{symbol:d.symbol,angle:d.angle,size:d.size,sizeref:d.sizeref,sizemin:d.sizemin,sizemode:d.sizemode,opacity:d.opacity,colorbar:d.colorbar,line:u({},l(\"marker.line\"),{width:m.width})}),connectgaps:o.connectgaps,fill:u({},o.fill,{dflt:\"none\"}),fillcolor:a(),selected:{marker:o.selected.marker,textfont:o.selected.textfont},unselected:{marker:o.unselected.marker,textfont:o.unselected.textfont},opacity:n.opacity},\"calc\",\"nested\");g.x.editType=g.y.editType=g.x0.editType=g.y0.editType=\"calc+clearAxisTypes\",g.hovertemplate=o.hovertemplate,g.texttemplate=o.texttemplate;},68258:function(t,e,r){var n=r(36544);t.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:r(37703),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:r(92089),supplyDefaults:r(86590),crossTraceDefaults:r(53044),colorbar:r(21146),formatLabels:r(99185),calc:r(15293),hoverPoints:n.hoverPoints,selectPoints:r(17168),meta:{}};},15293:function(t,e,r){var n=r(27549),i=r(34809),a=r(5975),o=r(32919).findExtremes,s=r(40528),l=r(26544),c=l.calcMarkerSize,u=l.calcAxisExpansion,h=l.setFirstScatter,f=r(77272),p=r(19937),d=r(62336),m=r(63821).BADNUM,g=r(29483).TOO_MANY_POINTS;function y(t,e,r){var n=t._extremes[e._id],i=o(e,r._bnds,{padded:true});n.min=n.min.concat(i.min),n.max=n.max.concat(i.max);}t.exports=function(t,e){var r,o=t._fullLayout,l=e._xA=a.getFromId(t,e.xaxis,\"x\"),v=e._yA=a.getFromId(t,e.yaxis,\"y\"),x=o._plots[e.xaxis+e.yaxis],_=e._length,b=_>=g,w=2*_,T={},k=l.makeCalcdata(e,\"x\"),A=v.makeCalcdata(e,\"y\"),M=s(e,l,\"x\",k),S=s(e,v,\"y\",A),E=M.vals,C=S.vals;e._x=E,e._y=C,e.xperiodalignment&&(e._origX=k,e._xStarts=M.starts,e._xEnds=M.ends),e.yperiodalignment&&(e._origY=A,e._yStarts=S.starts,e._yEnds=S.ends);var L=new Array(w),I=new Array(_);for(r=0;r<_;r++)L[2*r]=E[r]===m?NaN:E[r],L[2*r+1]=C[r]===m?NaN:C[r],I[r]=r;if(\"log\"===l.type)for(r=0;r<w;r+=2)L[r]=l.c2l(L[r]);if(\"log\"===v.type)for(r=1;r<w;r+=2)L[r]=v.c2l(L[r]);b&&\"log\"!==l.type&&\"log\"!==v.type?T.tree=n(L):T.ids=I,f(t,e);var P,z=function(t,e,r,n,a,o){var s=p.style(t,r);if(s.marker&&(s.marker.positions=n),s.line&&n.length>1&&i.extendFlat(s.line,p.linePositions(t,r,n)),s.errorX||s.errorY){var l=p.errorBarPositions(t,r,n,a,o);s.errorX&&i.extendFlat(s.errorX,l.x),s.errorY&&i.extendFlat(s.errorY,l.y);}return s.text&&(i.extendFlat(s.text,{positions:n},p.textPosition(t,r,s.text,s.marker)),i.extendFlat(s.textSel,{positions:n},p.textPosition(t,r,s.text,s.markerSel)),i.extendFlat(s.textUnsel,{positions:n},p.textPosition(t,r,s.text,s.markerUnsel))),s}(t,0,e,L,E,C),O=d(t,x);return h(o,e),b?z.marker&&(P=z.marker.sizeAvg||Math.max(z.marker.size,3)):P=c(e,_),u(t,e,l,v,E,C,P),z.errorX&&y(e,l,z.errorX),z.errorY&&y(e,v,z.errorY),z.fill&&!O.fill2d&&(O.fill2d=true),z.marker&&!O.scatter2d&&(O.scatter2d=true),z.line&&!O.line2d&&(O.line2d=true),!z.errorX&&!z.errorY||O.error2d||(O.error2d=true),z.text&&!O.glText&&(O.glText=true),z.marker&&(z.marker.snap=_),O.lineOptions.push(z.line),O.errorXOptions.push(z.errorX),O.errorYOptions.push(z.errorY),O.fillOptions.push(z.fill),O.markerOptions.push(z.marker),O.markerSelectedOptions.push(z.markerSel),O.markerUnselectedOptions.push(z.markerUnsel),O.textOptions.push(z.text),O.textSelectedOptions.push(z.textSel),O.textUnselectedOptions.push(z.textUnsel),O.selectBatch.push([]),O.unselectBatch.push([]),T._scene=O,T.index=O.count,T.x=E,T.y=C,T.positions=L,O.count++,[{x:false,y:false,t:T,trace:e}]};},29483:function(t){t.exports={TOO_MANY_POINTS:1e5,SYMBOL_SDF_SIZE:200,SYMBOL_SIZE:20,SYMBOL_STROKE:1,DOT_RE:/-dot/,OPEN_RE:/-open/,DASHES:{solid:[1],dot:[1,1],dash:[4,1],longdash:[8,1],dashdot:[4,1,1,1],longdashdot:[8,1,1,1]}};},19937:function(t,e,r){var n=r(10721),i=r(96021),a=r(162),o=r(33626),s=r(34809),l=s.isArrayOrTypedArray,c=r(62203),u=r(5975),h=r(46998).formatColor,f=r(64726),p=r(92527),d=r(4075),m=r(29483),g=r(20438).DESELECTDIM,y={start:1,left:1,end:-1,right:-1,middle:0,center:0,bottom:1,top:-1},v=r(36040).appendArrayPointValue;function x(t,e){var r,i=t._fullLayout,a=e._length,o=e.textfont,c=e.textposition,u=l(c)?c:[c],h=o.color,f=o.size,p=o.family,d=o.weight,m=o.style,g=o.variant,y={},x=t._context.plotGlPixelRatio,b=e.texttemplate;if(b){y.text=[];var w=i._d3locale,T=Array.isArray(b),k=T?Math.min(b.length,a):a,A=T?function(t){return b[t]}:function(){return b};for(r=0;r<k;r++){var M={i:r},S=e._module.formatLabels(M,e,i),E={};v(E,e,r);var C=e._meta||{};y.text.push(s.texttemplateString(A(r),S,w,E,M,C));}}else l(e.text)&&e.text.length<a?y.text=e.text.slice():y.text=e.text;if(l(y.text))for(r=y.text.length;r<a;r++)y.text[r]=\"\";for(y.opacity=e.opacity,y.font={},y.align=[],y.baseline=[],r=0;r<u.length;r++){var L=u[r].split(/\\s+/);switch(L[1]){case \"left\":y.align.push(\"right\");break;case \"right\":y.align.push(\"left\");break;default:y.align.push(L[1]);}switch(L[0]){case \"top\":y.baseline.push(\"bottom\");break;case \"bottom\":y.baseline.push(\"top\");break;default:y.baseline.push(L[0]);}}if(l(h))for(y.color=new Array(a),r=0;r<a;r++)y.color[r]=h[r];else y.color=h;if(l(f)||Array.isArray(p)||l(d)||Array.isArray(m)||Array.isArray(g))for(y.font=new Array(a),r=0;r<a;r++){var I=y.font[r]={};I.size=(s.isTypedArray(f)?f[r]:l(f)?n(f[r])?f[r]:0:f)*x,I.family=Array.isArray(p)?p[r]:p,I.weight=_(l(d)?d[r]:d),I.style=Array.isArray(m)?m[r]:m,I.variant=Array.isArray(g)?g[r]:g;}else y.font={size:f*x,family:p,weight:_(d),style:m,variant:g};return y}function _(t){return t<=1e3?t>500?\"bold\":\"normal\":t}function b(t,e){var r,n,i=e._length,o=e.marker,s={},c=l(o.symbol),u=l(o.angle),f=l(o.color),m=l(o.line.color),g=l(o.opacity),y=l(o.size),v=l(o.line.width);if(c||(n=d.isOpenSymbol(o.symbol)),c||f||m||g||u){s.symbols=new Array(i),s.angles=new Array(i),s.colors=new Array(i),s.borderColors=new Array(i);var x=o.symbol,_=o.angle,b=h(o,o.opacity,i),w=h(o.line,o.opacity,i);if(!l(w[0])){var T=w;for(w=Array(i),r=0;r<i;r++)w[r]=T;}if(!l(b[0])){var k=b;for(b=Array(i),r=0;r<i;r++)b[r]=k;}if(!l(x)){var A=x;for(x=Array(i),r=0;r<i;r++)x[r]=A;}if(!l(_)){var M=_;for(_=Array(i),r=0;r<i;r++)_[r]=M;}for(s.symbols=x,s.angles=_,s.colors=b,s.borderColors=w,r=0;r<i;r++)c&&(n=d.isOpenSymbol(o.symbol[r])),n&&(w[r]=b[r].slice(),b[r]=b[r].slice(),b[r][3]=0);for(s.opacity=e.opacity,s.markers=new Array(i),r=0;r<i;r++)s.markers[r]=L({mx:s.symbols[r],ma:s.angles[r]},e);}else n?(s.color=a(o.color,\"uint8\"),s.color[3]=0,s.borderColor=a(o.color,\"uint8\")):(s.color=a(o.color,\"uint8\"),s.borderColor=a(o.line.color,\"uint8\")),s.opacity=e.opacity*o.opacity,s.marker=L({mx:o.symbol,ma:o.angle},e);var S,E=p(e,1);if(y||v){var C,I=s.sizes=new Array(i),P=s.borderSizes=new Array(i),z=0;if(y){for(r=0;r<i;r++)I[r]=E(o.size[r]),z+=I[r];C=z/i;}else for(S=E(o.size),r=0;r<i;r++)I[r]=S;if(v)for(r=0;r<i;r++)P[r]=o.line.width[r];else for(S=o.line.width,r=0;r<i;r++)P[r]=S;s.sizeAvg=C;}else s.size=E(o&&o.size||10),s.borderSizes=E(o.line.width);return s}function w(t,e,r){var n=e.marker,i={};return r?(r.marker&&r.marker.symbol?i=b(0,s.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),void 0!==r.marker.opacity&&(i.opacity=r.marker.opacity)),i):i}function T(t,e,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=x(t,i);}return n}function k(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var A=m.SYMBOL_SDF_SIZE,M=m.SYMBOL_SIZE,S=m.SYMBOL_STROKE,E={},C=c.symbolFuncs[0](.05*M);function L(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=c.symbolNumber(a),s=c.symbolFuncs[o%100],l=!!c.symbolNoDot[o%100],u=!!c.symbolNoFill[o%100],h=d.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),E[a])return E[a];var f=c.getMarkerAngle(t,e);return r=h&&!l?s(1.1*M,f)+C:s(M,f),n=i(r,{w:A,h:A,viewBox:[-M,-M,M,M],stroke:u?S:-S}),E[a]=n,n||null}t.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(true!==e.visible)return n;if(f.hasText(e)&&(n.text=x(t,e),n.textSel=T(t,e,e.selected),n.textUnsel=T(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=b(0,e),n.markerSel=w(0,e,e.selected),n.markerUnsel=w(0,e,e.unselected),!e.unselected&&l(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r];}if(f.hasLines(e)){n.line={overlay:true,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(m.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o;}return e.error_x&&e.error_x.visible&&(n.errorX=k(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=k(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:true,fill:e.fillcolor,thickness:0}),n},markerStyle:b,markerSelection:w,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1]);}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else {var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3]);}n.push(r[a-2],r[a-1]);}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else {var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l);}n.push(r[a-2],r[a-1]);}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1]);}else n=r;var c=false;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=true;break}var u=c||n.length>m.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1]);}return {join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=u.getFromId(t,e.xaxis,\"x\"),c=u.getFromId(t,e.yaxis,\"y\"),h=r.length/2,f={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*h),d=1/0,m=-1/0,g=0,y=0;g<h;g++,y+=4){var v=t[g];if(n(v)){var x=r[2*g+c],_=l(v,g),b=_[0],w=_[1];if(n(b)&&n(w)){var T=v-b,k=v+w;p[y+u[0]]=x-i.c2l(T),p[y+u[1]]=i.c2l(k)-x,p[y+u[2]]=0,p[y+u[3]]=0,d=Math.min(d,v-b),m=Math.max(m,v+w);}}}f[a]={positions:r,errors:p,_bnds:[d,m]};}}return p(i,l),p(a,c),f},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,c=r.align,u=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var h=n.sizes?n.sizes[i]:n.size,p=l(s)?s[i].size:s.size,d=l(c)?c.length>1?c[i]:c[0]:c,m=l(u)?u.length>1?u[i]:u[0]:u,g=y[d],v=y[m],x=h?h/.8+1:0,_=-v*x-.5*v;o.offset[i]=[g*x/p,_/p];}}return o}};},86590:function(t,e,r){var n=r(34809),i=r(33626),a=r(4075),o=r(92089),s=r(32660),l=r(64726),c=r(99867),u=r(99669),h=r(24272),f=r(98168),p=r(54114),d=r(663);t.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),v=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g(\"xhoverformat\"),g(\"yhoverformat\");var _=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",_),l.hasMarkers(e)&&(h(t,e,r,m,g,{noAngleRef:true,noStandOff:true}),g(\"marker.line.width\",y||v?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),f(t,e,r,m,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,m,g,{noFontShadow:true,noFontLineposition:true,noFontTextcase:true}));var b=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,b||w||r,{axis:\"y\"}),T(t,e,b||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g);}else e.visible=false;};},85686:function(t,e,r){var n=r(34809),i=r(78766),a=r(20438).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(h.length||f.length){var y=d.color,v=m.color,x=p.color,_=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],g.color[r]=y||(_?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var b=_?x[r]:x;g.color[r]=v||(y?b:i.addOpacity(b,a));}}c.glText[u].update(g);}};},99185:function(t,e,r){var n=r(15294);t.exports=function(t,e,r){var i=t.i;return \"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)};},4075:function(t,e,r){var n=r(29483);e.isOpenSymbol=function(t){return \"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return \"string\"==typeof t?n.DOT_RE.test(t):t>200};},36544:function(t,e,r){var n=r(33626),i=r(34809),a=r(11539);function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=i.isArrayOrTypedArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=i.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=i.isArrayOrTypedArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family,f.tw=Array.isArray(p.weight)?p.weight[h]:p.weight,f.ty=Array.isArray(p.style)?p.style[h]:p.style,f.tv=Array.isArray(p.variant)?p.variant[h]:p.variant);var d=o.marker;d&&(f.ms=i.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.ma=i.isArrayOrTypedArray(d.angle)?d.angle[h]:d.angle,f.mc=i.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var m=d&&d.line;m&&(f.mlc=Array.isArray(m.color)?m.color[h]:m.color,f.mlw=i.isArrayOrTypedArray(m.width)?m.width[h]:m.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(f.mgt=Array.isArray(g.type)?g.type[h]:g.type,f.mgc=Array.isArray(g.color)?g.color[h]:g.color);var y=s.c2p(f.x,true),v=l.c2p(f.y,true),x=f.mrc||1,_=o.hoverlabel;_&&(f.hbg=Array.isArray(_.bgcolor)?_.bgcolor[h]:_.bgcolor,f.hbc=Array.isArray(_.bordercolor)?_.bordercolor[h]:_.bordercolor,f.hts=i.isArrayOrTypedArray(_.font.size)?_.font.size[h]:_.font.size,f.htc=Array.isArray(_.font.color)?_.font.color[h]:_.font.color,f.htf=Array.isArray(_.font.family)?_.font.family[h]:_.font.family,f.hnl=i.isArrayOrTypedArray(_.namelength)?_.namelength[h]:_.namelength);var b=o.hoverinfo;b&&(f.hi=Array.isArray(b)?b[h]:b);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var T={};T[t.index]=f;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,f),x0:y-x,x1:y+x,xLabelVal:k?k[h]:f.x,y0:v-x,y1:v+x,yLabelVal:A?A[h]:f.y,cd:T,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?M.text=f.htx:f.tx?M.text=f.tx:o.text&&(M.text=o.text),i.fillText(f,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,h,f,p,d,m=t.cd,g=m[0].t,y=m[0].trace,v=t.xa,x=t.ya,_=g.x,b=g.y,w=v.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=v.p2c(w-k),M=v.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E));}else i=g.ids;var C=k;if(\"x\"===n){var L=!!y.xperiodalignment,I=!!y.yperiodalignment;for(u=0;u<i.length;u++){if(l=_[a=i[u]],h=Math.abs(v.c2p(l)-w),L){var P=v.c2p(y._xStarts[a]),z=v.c2p(y._xEnds[a]);h=w>=Math.min(P,z)&&w<=Math.max(P,z)?0:1/0;}if(h<C){if(C=h,c=b[a],f=x.c2p(c)-T,I){var O=x.c2p(y._yStarts[a]),D=x.c2p(y._yEnds[a]);f=T>=Math.min(O,D)&&T<=Math.max(O,D)?0:1/0;}d=Math.sqrt(h*h+f*f),s=i[u];}}}else for(u=i.length-1;u>-1;u--)l=_[a=i[u]],c=b[a],h=v.c2p(l)-w,f=x.c2p(c)-T,(p=Math.sqrt(h*h+f*f))<C&&(C=d=p,s=a);return t.index=s,t.distance=C,t.dxy=d,void 0===s?[t]:[o(t,_,b,y)]},calcHover:o};},52378:function(t,e,r){var n=r(68258);n.plot=r(47731),t.exports=n;},47731:function(t,e,r){var n=r(62172),i=r(49478),a=r(29978),o=r(74024),s=r(34809),l=r(70414).selectMode,c=r(22459),u=r(64726),h=r(17210),f=r(85686).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,h=i.w*n,f=i.h*n;return [s+e.domain[0]*h,l+r.domain[0]*f,a-c-(1-e.domain[1])*h,o-u-(1-r.domain[1])*f]}(t.exports=function(t,e,r){if(r.length){var m,g,y=t._fullLayout,v=e._scene,x=e.xaxis,_=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var b=v.count,w=y._glcanvas.data()[0].regl;if(h(t,e,r),v.dirty){if(!v.line2d&&!v.error2d||v.scatter2d||v.fill2d||v.glText||w.clear({}),true===v.error2d&&(v.error2d=a(w)),true===v.line2d&&(v.line2d=i(w)),true===v.scatter2d&&(v.scatter2d=n(w)),true===v.fill2d&&(v.fill2d=i(w)),true===v.glText)for(v.glText=new Array(b),m=0;m<b;m++)v.glText[m]=new o(w);if(v.glText){if(b>v.glText.length){var T=b-v.glText.length;for(m=0;m<T;m++)v.glText.push(new o(w));}else if(b<v.glText.length){var k=v.glText.length-b;v.glText.splice(b,k).forEach((function(t){t.destroy();}));}for(m=0;m<b;m++)v.glText[m].update(v.textOptions[m]);}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2);}return t})),v.line2d.update(v.lineOptions)),v.error2d){var A=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(A);}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var h,f,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]));}else if(\"tozerox\"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+1]]));}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=true,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1]);}else {var m=s._nexttrace;if(m){var g=v.lineOptions[e+1];if(g){var y=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],_=y[2*e+1];isNaN(x)||isNaN(_)||p.push(x,_);}t.fill=m.fillcolor;}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var b=v.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<b.length;a+=2)(isNaN(b[a])||isNaN(b[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(b),t.hole=T;}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions));}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(m=0;m<b;m++){var C=r[m][0],L=C.trace,I=C.t,P=I.index,z=L._length,O=I.x,D=I.y;if(L.selectedpoints||S||E){if(S||(S=true),L.selectedpoints){var R=v.selectBatch[P]=s.selIndices2selPoints(L),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<z;g++)F[g]||B.push(g);v.unselectBatch[P]=B;}var N=I.xpx=new Array(z),j=I.ypx=new Array(z);for(g=0;g<z;g++)N[g]=x.c2p(O[g]),j[g]=_.c2p(D[g]);}else I.xpx=I.ypx=null;}if(S){if(v.select2d||(v.select2d=n(y._glcanvas.data()[1].regl)),v.scatter2d){var U=new Array(b);for(m=0;m<b;m++)U[m]=v.selectBatch[m].length||v.unselectBatch[m].length?v.markerUnselectedOptions[m]:{};v.scatter2d.update(U);}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&f(t);}));}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var V={viewport:d(y,x,_,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(_._rl||_.range)[0],(x._rl||x.range)[1],(_._rl||_.range)[1]]},q=s.repeat(V,v.count);v.fill2d&&v.fill2d.update(q),v.line2d&&v.line2d.update(q),v.error2d&&v.error2d.update(q.concat(q)),v.scatter2d&&v.scatter2d.update(q),v.select2d&&v.select2d.update(q),v.glText&&v.glText.forEach((function(t){t.update(V);}));}else v.init();}}).reglPrecompiled=p;},62336:function(t,e,r){var n=r(34809);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:true,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:false,scatter2d:false,error2d:false,line2d:false,glText:false,select2d:false};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i);},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t);},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),a&&r.lineOptions[h]&&a.draw(h),i&&(r.errorXOptions[h]&&i.draw(h),r.errorYOptions[h]&&i.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f);}else c[h].length||o.draw(h);s[h]&&r.textOptions[h]&&s[h].render();}l&&l.draw(c),r.dirty=false;},r.destroy=function(){r.fill2d&&r.fill2d.destroy&&r.fill2d.destroy(),r.scatter2d&&r.scatter2d.destroy&&r.scatter2d.destroy(),r.error2d&&r.error2d.destroy&&r.error2d.destroy(),r.line2d&&r.line2d.destroy&&r.line2d.destroy(),r.select2d&&r.select2d.destroy&&r.select2d.destroy(),r.glText&&r.glText.forEach((function(t){t.destroy&&t.destroy();})),r.lineOptions=null,r.fillOptions=null,r.markerOptions=null,r.markerSelectedOptions=null,r.markerUnselectedOptions=null,r.errorXOptions=null,r.errorYOptions=null,r.textOptions=null,r.textSelectedOptions=null,r.textUnselectedOptions=null,r.selectBatch=null,r.unselectBatch=null,e._scene=null;}),r.dirty||n.extendFlat(r,i),r};},17168:function(t,e,r){var n=r(64726),i=r(85686).styleTextSelection;t.exports=function(t,e){var r=t.cd,a=t.xaxis,o=t.yaxis,s=[],l=r[0].trace,c=r[0].t,u=l._length,h=c.x,f=c.y,p=c._scene,d=c.index;if(!p)return s;var m=n.hasText(l),g=n.hasMarkers(l),y=!g&&!m;if(true!==l.visible||y)return s;var v=[],x=[];if(false!==e&&!e.degenerate)for(var _=0;_<u;_++)e.contains([c.xpx[_],c.ypx[_]],false,_,t)?(v.push(_),s.push({pointNumber:_,x:a.c2d(h[_]),y:o.c2d(f[_])})):x.push(_);if(g){var b=p.scatter2d;if(v.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],b.update.apply(b,w);}}else {var T=new Array(p.count);T[d]=p.markerOptions[d],b.update.apply(b,T);}}return p.selectBatch[d]=v,p.unselectBatch[d]=x,m&&i(r),s};},71388:function(t,e,r){var n=r(3208).rb,i=r(3208).ay,a=r(19326),o=r(6893),s=r(36640),l=r(8257),c=r(9829),u=r(87163),h=r(93049).extendFlat,f=r(13582).overrideAll,p=r(8257),d=o.line,m=o.marker;t.exports=f({lon:o.lon,lat:o.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:h({},p.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:true,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:true,dflt:20,min:0},color:{valType:\"color\",arrayOk:true},opacity:h({},m.opacity,{dflt:1})},mode:h({},s.mode,{dflt:\"markers\"}),text:h({},s.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:h({},s.hovertext,{}),line:{color:d.color,width:d.width},connectgaps:s.connectgaps,marker:h({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:true},angle:{valType:\"number\",dflt:\"auto\",arrayOk:true},allowoverlap:{valType:\"boolean\",dflt:false},opacity:m.opacity,size:m.size,sizeref:m.sizeref,sizemin:m.sizemin,sizemode:m.sizemode},u(\"marker\")),fill:o.fill,fillcolor:a(),textfont:l.layers.symbol.textfont,textposition:l.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:s.selected.marker},unselected:{marker:s.unselected.marker},hoverinfo:h({},c.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\");},13624:function(t){var e=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];t.exports={isSupportedFont:function(t){return  -1!==e.indexOf(t)}};},76717:function(t,e,r){var n=r(10721),i=r(34809),a=r(63821).BADNUM,o=r(39532),s=r(88856),l=r(62203),c=r(92527),u=r(64726),h=r(13624).isSupportedFont,f=r(4657),p=r(36040).appendArrayPointValue,d=r(30635).NEWLINES,m=r(30635).BR_TAG_ALL;function g(t){return {type:t,geojson:o.makeBlank(),layout:{visibility:\"none\"},filter:null,paint:{}}}function y(t,e){return i.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return \"\"}function x(t){return t[0]===a}function _(t,e){var r;if(i.isArrayOrTypedArray(t)&&i.isArrayOrTypedArray(e)){r=[\"step\",[\"get\",\"point_count\"],t[0]];for(var n=1;n<t.length;n++)r.push(e[n-1],t[n]);}else r=t;return r}function b(t){var e=t.textfont,r=e.family,n=e.style,i=e.weight,a=r.split(\" \"),o=\"Italic\"===a[a.length-1];o&&a.pop(),o=o||\"italic\"===n;var s=a.join(\" \");return \"bold\"===i&&-1===a.indexOf(\"Bold\")?s+=\" Bold\":i<=1e3&&(\"Metropolis\"===a[0]?(s=\"Metropolis\",s+=i>850?\" Black\":i>750?\" Extra Bold\":i>650?\" Bold\":i>550?\" Semi Bold\":i>450?\" Medium\":i>350?\" Regular\":i>250?\" Light\":i>150?\" Extra Light\":\" Thin\"):\"Open Sans\"===a.slice(0,2).join(\" \")?(s=\"Open Sans\",s+=i>750?\" Extrabold\":i>650?\" Bold\":i>550?\" Semibold\":i>350?\" Regular\":\" Light\"):\"Klokantech Noto Sans\"===a.slice(0,3).join(\" \")&&(s=\"Klokantech Noto Sans\",\"CJK\"===a[3]&&(s+=\" CJK\"),s+=i>500?\" Bold\":\" Regular\")),o&&(s+=\" Italic\"),\"Open Sans Regular Italic\"===s?s=\"Open Sans Italic\":\"Open Sans Regular Bold\"===s?s=\"Open Sans Bold\":\"Open Sans Regular Bold Italic\"===s?s=\"Open Sans Bold Italic\":\"Klokantech Noto Sans Regular Italic\"===s&&(s=\"Klokantech Noto Sans Italic\"),h(s)||(s=r),s.split(\", \")}t.exports=function(t,e){var r,a=e[0].trace,h=true===a.visible&&0!==a._length,w=\"none\"!==a.fill,T=u.hasLines(a),k=u.hasMarkers(a),A=u.hasText(a),M=k&&\"circle\"===a.marker.symbol,S=k&&\"circle\"!==a.marker.symbol,E=a.cluster&&a.cluster.enabled,C=g(\"fill\"),L=g(\"line\"),I=g(\"circle\"),P=g(\"symbol\"),z={fill:C,line:L,circle:I,symbol:P};if(!h)return z;if((w||T)&&(r=o.calcTraceToLineCoords(e)),w&&(C.geojson=o.makePolygon(r),C.layout.visibility=\"visible\",i.extendFlat(C.paint,{\"fill-color\":a.fillcolor})),T&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),M){var O=function(t){var e,r,a,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=i.isArrayOrTypedArray(h.color),d=i.isArrayOrTypedArray(h.size),m=i.isArrayOrTypedArray(h.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(h):i.identity),d&&(a=c(u)),m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var y,v,_=[];for(e=0;e<t.length;e++){var b=t[e],w=b.lonlat;if(!x(w)){var T={};r&&(T.mcc=b.mcc=r(b.mc)),a&&(T.mrc=b.mrc=a(b.ms)),o&&(T.mo=o(b.mo)),f&&(T.selected=b.selected||0),_.push({type:\"Feature\",id:e+1,geometry:{type:\"Point\",coordinates:w},properties:T});}}if(f)for(y=l.makeSelectedPointStyleFns(u),e=0;e<_.length;e++){var k=_[e].properties;y.selectedOpacityFn&&(k.mo=g(y.selectedOpacityFn(k))),y.selectedColorFn&&(k.mcc=y.selectedColorFn(k)),y.selectedSizeFn&&(k.mrc=y.selectedSizeFn(k));}return {geojson:{type:\"FeatureCollection\",features:_},mcc:p||y&&y.selectedColorFn?{type:\"identity\",property:\"mcc\"}:h.color,mrc:d||y&&y.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(v=h.size,v/2),mo:m||y&&y.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(h.opacity)}}(e);I.geojson=O.geojson,I.layout.visibility=\"visible\",E&&(I.filter=[\"!\",[\"has\",\"point_count\"]],z.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":_(a.cluster.color,a.cluster.step),\"circle-radius\":_(a.cluster.size,a.cluster.step),\"circle-opacity\":_(a.cluster.opacity,a.cluster.step)}},z.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":b(a),\"text-size\":12}}),i.extendFlat(I.paint,{\"circle-color\":O.mcc,\"circle-radius\":O.mrc,\"circle-opacity\":O.mo});}if(M&&E&&(I.filter=[\"!\",[\"has\",\"point_count\"]]),(S||A)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?y(o):v,c=\"auto\"!==s?y(s,true):v,h=u.hasText(n)?y(n.text):v,f=[],g=0;g<t.length;g++){var _=t[g];if(!x(_.lonlat)){var b,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[g]||\"\":w,k=n._module.formatLabels(_,n,r),A={};p(A,n,_.i);var M=n._meta||{};b=i.texttemplateString(T,k,r._d3locale,A,_,M);}else b=h(g);b&&(b=b.replace(d,\"\").replace(m,\"\\n\")),f.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_.lonlat},properties:{symbol:l(g),angle:c(g),text:b}});}}return {type:\"FeatureCollection\",features:f}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),S&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),A)){var D=(a.marker||{}).size,R=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":R.anchor,\"text-offset\":R.offset,\"text-font\":b(a)}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity});}return z};},57387:function(t,e,r){var n=r(34809),i=r(64726),a=r(24272),o=r(98168),s=r(663),l=r(54114),c=r(71388),u=r(13624).isSupportedFont;t.exports=function(t,e,r,h){function f(r,i){return n.coerce(t,e,c,r,i)}function p(r,i){return n.coerce2(t,e,c,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,f);if(d){if(f(\"text\"),f(\"texttemplate\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),f(\"below\"),i.hasMarkers(e)){a(t,e,r,h,f,{noLine:true,noAngle:true}),f(\"marker.allowoverlap\"),f(\"marker.angle\");var m=e.marker;\"circle\"!==m.symbol&&(n.isArrayOrTypedArray(m.size)&&(m.size=m.size[0]),n.isArrayOrTypedArray(m.color)&&(m.color=m.color[0]));}i.hasLines(e)&&(o(t,e,r,h,f,{noDash:true}),f(\"connectgaps\"));var g=p(\"cluster.maxzoom\"),y=p(\"cluster.step\"),v=p(\"cluster.color\",e.marker&&e.marker.color||r),x=p(\"cluster.size\"),_=p(\"cluster.opacity\");if(f(\"cluster.enabled\",false!==g||false!==y||false!==v||false!==x||false!==_)||i.hasText(e)){var b=h.font.family;s(t,e,h,f,{noSelect:true,noFontVariant:true,noFontShadow:true,noFontLineposition:true,noFontTextcase:true,font:{family:u(b)?b:\"Open Sans 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t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,u=o[0].trace,h=t.xa,f=t.ya,p=t.subplot,d=[],m=l+u.uid+\"-circle\",g=u.cluster&&u.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[m]});d=y.map((function(t){return t.id}));}var v=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-v;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-h.c2p([x,a]),c=o.y-f.c2p([n,r]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-u,1-3/u)}),t),false!==t.index){var _=o[t.index],b=_.lonlat,w=[i.modHalf(b[0],360)+v,b[1]],T=h.c2p(w),k=f.c2p(w),A=_.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[u.subplot]={_subplot:p};var S=u._module.formatLabels(_,u,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(u,_),t.extraText=c(u,_,o[0].t.labels),t.hovertemplate=u.hovertemplate,[t]}},getExtraText:c};},30929:function(t,e,r){t.exports={attributes:r(71388),supplyDefaults:r(57387),colorbar:r(21146),formatLabels:r(66762),calc:r(75649),plot:r(26126),hoverPoints:r(67275).hoverPoints,eventData:r(58240),selectPoints:r(21501),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.update(e);},moduleType:\"trace\",name:\"scattermap\",basePlotModule:r(34091),categories:[\"map\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}};},26126:function(t,e,r){var n=r(34809),i=r(76717),a=r(8814).traceLayerPrefix,o={cluster:[\"cluster\",\"clusterCount\",\"circle\"],nonCluster:[\"fill\",\"line\",\"circle\",\"symbol\"]};function s(t,e,r,n){this.type=\"scattermap\",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\",cluster:\"source-\"+e+\"-circle\",clusterCount:\"source-\"+e+\"-circle\"},this.layerIds={fill:a+e+\"-fill\",line:a+e+\"-line\",circle:a+e+\"-circle\",symbol:a+e+\"-symbol\",cluster:a+e+\"-cluster\",clusterCount:a+e+\"-cluster-count\"},this.below=null;}var l=s.prototype;l.addSource=function(t,e,r){var i={type:\"geojson\",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:true,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i);},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson);},l.addLayer=function(t,e,r){var n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s<o.length;s++)if(o[s].id===a){i=true;break}i?(this.subplot.setOptions(a,\"setLayoutProperty\",n.layout),\"visible\"===n.layout.visibility&&this.subplot.setOptions(a,\"setPaintProperty\",n.paint)):this.subplot.addLayer(n,r);},l.update=function(t){var e=t[0].trace,r=this.subplot,n=r.map,a=i(r.gd,t),s=r.belowLookup[\"trace-\"+this.uid],l=!(!e.cluster||!e.cluster.enabled),c=!!this.clusterEnabled,u=this;function h(t){c?function(t){for(var e=o.cluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(u.layerIds[i]);}t||n.removeSource(u.sourceIds.circle);}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(u.layerIds[i]),t||n.removeSource(u.sourceIds[i]);}}(t);}function f(t){l?function(t){t||u.addSource(\"circle\",a.circle,e.cluster);for(var r=o.cluster,n=0;n<r.length;n++){var i=r[n],l=a[i];u.addLayer(i,l,s);}}(t):function(t){for(var e=o.nonCluster,r=0;r<e.length;r++){var n=e[r],i=a[n];t||u.addSource(n,i),u.addLayer(n,i,s);}}(t);}function p(){for(var t=l?o.cluster:o.nonCluster,e=0;e<t.length;e++){var n=t[e],i=a[n];i&&(r.setOptions(u.layerIds[n],\"setLayoutProperty\",i.layout),\"visible\"===i.layout.visibility&&(\"cluster\"!==n&&u.setSourceData(n,i),r.setOptions(u.layerIds[n],\"setPaintProperty\",i.paint)));}}var d=this.isHidden,m=true!==e.visible;m?d||h():d?m||f():c!==l?(h(),f()):this.below!==s?(h(true),f(true),p()):p(),this.clusterEnabled=l,this.isHidden=m,this.below=s,t[0].trace._glTrace=this;},l.dispose=function(){for(var t=this.subplot.map,e=this.clusterEnabled?o.cluster:o.nonCluster,r=e.length-1;r>=0;r--){var n=e[r];t.removeLayer(this.layerIds[n]),t.removeSource(this.sourceIds[n]);}},t.exports=function(t,e){var r,n,a,l=e[0].trace,c=l.cluster&&l.cluster.enabled,u=true!==l.visible,h=new s(t,l.uid,c,u),f=i(t.gd,e),p=h.below=t.belowLookup[\"trace-\"+l.uid];if(c)for(h.addSource(\"circle\",f.circle,l.cluster),r=0;r<o.cluster.length;r++)a=f[n=o.cluster[r]],h.addLayer(n,a,p);else for(r=0;r<o.nonCluster.length;r++)a=f[n=o.nonCluster[r]],h.addSource(n,a,l.cluster),h.addLayer(n,a,p);return e[0].trace._glTrace=h,h};},21501:function(t,e,r){var n=r(34809),i=r(64726),a=r(63821).BADNUM;t.exports=function(t,e){var r,o=t.cd,s=t.xaxis,l=t.yaxis,c=[],u=o[0].trace;if(!i.hasMarkers(u))return [];if(false===e)for(r=0;r<o.length;r++)o[r].selected=0;else for(r=0;r<o.length;r++){var h=o[r],f=h.lonlat;if(f[0]!==a){var p=[n.modHalf(f[0],360),f[1]],d=[s.c2p(p),l.c2p(p)];e.contains(d,null,r,t)?(c.push({pointNumber:r,lon:f[0],lat:f[1]}),h.selected=1):h.selected=0;}}return c};},95833:function(t,e,r){var n=r(3208).rb,i=r(3208).ay,a=r(19326),o=r(6893),s=r(36640),l=r(67514),c=r(9829),u=r(87163),h=r(93049).extendFlat,f=r(13582).overrideAll,p=r(67514),d=o.line,m=o.marker;t.exports=f({lon:o.lon,lat:o.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:h({},p.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:true,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:true,dflt:20,min:0},color:{valType:\"color\",arrayOk:true},opacity:h({},m.opacity,{dflt:1})},mode:h({},s.mode,{dflt:\"markers\"}),text:h({},s.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:h({},s.hovertext,{}),line:{color:d.color,width:d.width},connectgaps:s.connectgaps,marker:h({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:true},angle:{valType:\"number\",dflt:\"auto\",arrayOk:true},allowoverlap:{valType:\"boolean\",dflt:false},opacity:m.opacity,size:m.size,sizeref:m.sizeref,sizemin:m.sizemin,sizemode:m.sizemode},u(\"marker\")),fill:o.fill,fillcolor:a(),textfont:l.layers.symbol.textfont,textposition:l.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:s.selected.marker},unselected:{marker:s.unselected.marker},hoverinfo:h({},c.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\");},2795:function(t){var e=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];t.exports={isSupportedFont:function(t){return  -1!==e.indexOf(t)}};},27009:function(t,e,r){var n=r(10721),i=r(34809),a=r(63821).BADNUM,o=r(39532),s=r(88856),l=r(62203),c=r(92527),u=r(64726),h=r(2795).isSupportedFont,f=r(2178),p=r(36040).appendArrayPointValue,d=r(30635).NEWLINES,m=r(30635).BR_TAG_ALL;function g(t){return {type:t,geojson:o.makeBlank(),layout:{visibility:\"none\"},filter:null,paint:{}}}function y(t,e){return i.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return \"\"}function x(t){return t[0]===a}function _(t,e){var r;if(i.isArrayOrTypedArray(t)&&i.isArrayOrTypedArray(e)){r=[\"step\",[\"get\",\"point_count\"],t[0]];for(var n=1;n<t.length;n++)r.push(e[n-1],t[n]);}else r=t;return r}function b(t){var e=t.textfont,r=e.family,n=e.style,i=e.weight,a=r.split(\" \"),o=\"Italic\"===a[a.length-1];o&&a.pop(),o=o||\"italic\"===n;var s=a.join(\" \");return \"bold\"===i&&-1===a.indexOf(\"Bold\")?s+=\" Bold\":i<=1e3&&(\"Metropolis\"===a[0]?(s=\"Metropolis\",s+=i>850?\" Black\":i>750?\" Extra Bold\":i>650?\" Bold\":i>550?\" Semi Bold\":i>450?\" Medium\":i>350?\" Regular\":i>250?\" Light\":i>150?\" Extra Light\":\" Thin\"):\"Open Sans\"===a.slice(0,2).join(\" \")?(s=\"Open Sans\",s+=i>750?\" Extrabold\":i>650?\" Bold\":i>550?\" Semibold\":i>350?\" Regular\":\" Light\"):\"Klokantech Noto Sans\"===a.slice(0,3).join(\" \")&&(s=\"Klokantech Noto Sans\",\"CJK\"===a[3]&&(s+=\" CJK\"),s+=i>500?\" Bold\":\" Regular\")),o&&(s+=\" Italic\"),\"Open Sans Regular Italic\"===s?s=\"Open Sans Italic\":\"Open Sans Regular Bold\"===s?s=\"Open Sans Bold\":\"Open Sans Regular Bold Italic\"===s?s=\"Open Sans Bold Italic\":\"Klokantech Noto Sans Regular Italic\"===s&&(s=\"Klokantech Noto Sans Italic\"),h(s)||(s=r),s.split(\", \")}t.exports=function(t,e){var r,a=e[0].trace,h=true===a.visible&&0!==a._length,w=\"none\"!==a.fill,T=u.hasLines(a),k=u.hasMarkers(a),A=u.hasText(a),M=k&&\"circle\"===a.marker.symbol,S=k&&\"circle\"!==a.marker.symbol,E=a.cluster&&a.cluster.enabled,C=g(\"fill\"),L=g(\"line\"),I=g(\"circle\"),P=g(\"symbol\"),z={fill:C,line:L,circle:I,symbol:P};if(!h)return z;if((w||T)&&(r=o.calcTraceToLineCoords(e)),w&&(C.geojson=o.makePolygon(r),C.layout.visibility=\"visible\",i.extendFlat(C.paint,{\"fill-color\":a.fillcolor})),T&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),M){var O=function(t){var e,r,a,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=i.isArrayOrTypedArray(h.color),d=i.isArrayOrTypedArray(h.size),m=i.isArrayOrTypedArray(h.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(h):i.identity),d&&(a=c(u)),m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var y,v,_=[];for(e=0;e<t.length;e++){var b=t[e],w=b.lonlat;if(!x(w)){var T={};r&&(T.mcc=b.mcc=r(b.mc)),a&&(T.mrc=b.mrc=a(b.ms)),o&&(T.mo=o(b.mo)),f&&(T.selected=b.selected||0),_.push({type:\"Feature\",id:e+1,geometry:{type:\"Point\",coordinates:w},properties:T});}}if(f)for(y=l.makeSelectedPointStyleFns(u),e=0;e<_.length;e++){var k=_[e].properties;y.selectedOpacityFn&&(k.mo=g(y.selectedOpacityFn(k))),y.selectedColorFn&&(k.mcc=y.selectedColorFn(k)),y.selectedSizeFn&&(k.mrc=y.selectedSizeFn(k));}return {geojson:{type:\"FeatureCollection\",features:_},mcc:p||y&&y.selectedColorFn?{type:\"identity\",property:\"mcc\"}:h.color,mrc:d||y&&y.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(v=h.size,v/2),mo:m||y&&y.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(h.opacity)}}(e);I.geojson=O.geojson,I.layout.visibility=\"visible\",E&&(I.filter=[\"!\",[\"has\",\"point_count\"]],z.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":_(a.cluster.color,a.cluster.step),\"circle-radius\":_(a.cluster.size,a.cluster.step),\"circle-opacity\":_(a.cluster.opacity,a.cluster.step)}},z.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":b(a),\"text-size\":12}}),i.extendFlat(I.paint,{\"circle-color\":O.mcc,\"circle-radius\":O.mrc,\"circle-opacity\":O.mo});}if(M&&E&&(I.filter=[\"!\",[\"has\",\"point_count\"]]),(S||A)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?y(o):v,c=\"auto\"!==s?y(s,true):v,h=u.hasText(n)?y(n.text):v,f=[],g=0;g<t.length;g++){var _=t[g];if(!x(_.lonlat)){var b,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[g]||\"\":w,k=n._module.formatLabels(_,n,r),A={};p(A,n,_.i);var M=n._meta||{};b=i.texttemplateString(T,k,r._d3locale,A,_,M);}else b=h(g);b&&(b=b.replace(d,\"\").replace(m,\"\\n\")),f.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_.lonlat},properties:{symbol:l(g),angle:c(g),text:b}});}}return {type:\"FeatureCollection\",features:f}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),S&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),A)){var D=(a.marker||{}).size,R=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":R.anchor,\"text-offset\":R.offset,\"text-font\":b(a)}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity});}return z};},38302:function(t,e,r){var n=r(34809),i=r(64726),a=r(24272),o=r(98168),s=r(663),l=r(54114),c=r(95833),u=r(2795).isSupportedFont;t.exports=function(t,e,r,h){function f(r,i){return n.coerce(t,e,c,r,i)}function p(r,i){return n.coerce2(t,e,c,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,f);if(d){if(f(\"text\"),f(\"texttemplate\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),f(\"below\"),i.hasMarkers(e)){a(t,e,r,h,f,{noLine:true,noAngle:true}),f(\"marker.allowoverlap\"),f(\"marker.angle\");var m=e.marker;\"circle\"!==m.symbol&&(n.isArrayOrTypedArray(m.size)&&(m.size=m.size[0]),n.isArrayOrTypedArray(m.color)&&(m.color=m.color[0]));}i.hasLines(e)&&(o(t,e,r,h,f,{noDash:true}),f(\"connectgaps\"));var g=p(\"cluster.maxzoom\"),y=p(\"cluster.step\"),v=p(\"cluster.color\",e.marker&&e.marker.color||r),x=p(\"cluster.size\"),_=p(\"cluster.opacity\");if(f(\"cluster.enabled\",false!==g||false!==y||false!==v||false!==x||false!==_)||i.hasText(e)){var b=h.font.family;s(t,e,h,f,{noSelect:true,noFontVariant:true,noFontShadow:true,noFontLineposition:true,noFontTextcase:true,font:{family:u(b)?b:\"Open Sans 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t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,u=o[0].trace,h=t.xa,f=t.ya,p=t.subplot,d=[],m=l+u.uid+\"-circle\",g=u.cluster&&u.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[m]});d=y.map((function(t){return t.id}));}var v=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-v;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-h.c2p([x,a]),c=o.y-f.c2p([n,r]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-u,1-3/u)}),t),false!==t.index){var _=o[t.index],b=_.lonlat,w=[i.modHalf(b[0],360)+v,b[1]],T=h.c2p(w),k=f.c2p(w),A=_.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[u.subplot]={_subplot:p};var S=u._module.formatLabels(_,u,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(u,_),t.extraText=c(u,_,o[0].t.labels),t.hovertemplate=u.hovertemplate,[t]}},getExtraText:c};},83866:function(t,e,r){t.exports={attributes:r(95833),supplyDefaults:r(38302),colorbar:r(21146),formatLabels:r(69009),calc:r(75649),plot:r(20691),hoverPoints:r(18016).hoverPoints,eventData:r(68197),selectPoints:r(60784),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.update(e);},moduleType:\"trace\",name:\"scattermapbox\",basePlotModule:r(68192),categories:[\"mapbox\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}};},20691:function(t,e,r){var n=r(34809),i=r(27009),a=r(44245).traceLayerPrefix,o={cluster:[\"cluster\",\"clusterCount\",\"circle\"],nonCluster:[\"fill\",\"line\",\"circle\",\"symbol\"]};function s(t,e,r,n){this.type=\"scattermapbox\",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\",cluster:\"source-\"+e+\"-circle\",clusterCount:\"source-\"+e+\"-circle\"},this.layerIds={fill:a+e+\"-fill\",line:a+e+\"-line\",circle:a+e+\"-circle\",symbol:a+e+\"-symbol\",cluster:a+e+\"-cluster\",clusterCount:a+e+\"-cluster-count\"},this.below=null;}var l=s.prototype;l.addSource=function(t,e,r){var i={type:\"geojson\",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:true,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i);},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson);},l.addLayer=function(t,e,r){var n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s<o.length;s++)if(o[s].id===a){i=true;break}i?(this.subplot.setOptions(a,\"setLayoutProperty\",n.layout),\"visible\"===n.layout.visibility&&this.subplot.setOptions(a,\"setPaintProperty\",n.paint)):this.subplot.addLayer(n,r);},l.update=function(t){var e=t[0].trace,r=this.subplot,n=r.map,a=i(r.gd,t),s=r.belowLookup[\"trace-\"+this.uid],l=!(!e.cluster||!e.cluster.enabled),c=!!this.clusterEnabled,u=this;function h(t){c?function(t){for(var e=o.cluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(u.layerIds[i]);}t||n.removeSource(u.sourceIds.circle);}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(u.layerIds[i]),t||n.removeSource(u.sourceIds[i]);}}(t);}function f(t){l?function(t){t||u.addSource(\"circle\",a.circle,e.cluster);for(var r=o.cluster,n=0;n<r.length;n++){var i=r[n],l=a[i];u.addLayer(i,l,s);}}(t):function(t){for(var e=o.nonCluster,r=0;r<e.length;r++){var n=e[r],i=a[n];t||u.addSource(n,i),u.addLayer(n,i,s);}}(t);}function p(){for(var t=l?o.cluster:o.nonCluster,e=0;e<t.length;e++){var n=t[e],i=a[n];i&&(r.setOptions(u.layerIds[n],\"setLayoutProperty\",i.layout),\"visible\"===i.layout.visibility&&(\"cluster\"!==n&&u.setSourceData(n,i),r.setOptions(u.layerIds[n],\"setPaintProperty\",i.paint)));}}var d=this.isHidden,m=true!==e.visible;m?d||h():d?m||f():c!==l?(h(),f()):this.below!==s?(h(true),f(true),p()):p(),this.clusterEnabled=l,this.isHidden=m,this.below=s,t[0].trace._glTrace=this;},l.dispose=function(){for(var t=this.subplot.map,e=this.clusterEnabled?o.cluster:o.nonCluster,r=e.length-1;r>=0;r--){var n=e[r];t.removeLayer(this.layerIds[n]),t.removeSource(this.sourceIds[n]);}},t.exports=function(t,e){var r,n,a,l=e[0].trace,c=l.cluster&&l.cluster.enabled,u=true!==l.visible,h=new s(t,l.uid,c,u),f=i(t.gd,e),p=h.below=t.belowLookup[\"trace-\"+l.uid];if(c)for(h.addSource(\"circle\",f.circle,l.cluster),r=0;r<o.cluster.length;r++)a=f[n=o.cluster[r]],h.addLayer(n,a,p);else for(r=0;r<o.nonCluster.length;r++)a=f[n=o.nonCluster[r]],h.addSource(n,a,l.cluster),h.addLayer(n,a,p);return e[0].trace._glTrace=h,h};},60784:function(t,e,r){var n=r(34809),i=r(64726),a=r(63821).BADNUM;t.exports=function(t,e){var r,o=t.cd,s=t.xaxis,l=t.yaxis,c=[],u=o[0].trace;if(!i.hasMarkers(u))return [];if(false===e)for(r=0;r<o.length;r++)o[r].selected=0;else for(r=0;r<o.length;r++){var h=o[r],f=h.lonlat;if(f[0]!==a){var p=[n.modHalf(f[0],360),f[1]],d=[s.c2p(p),l.c2p(p)];e.contains(d,null,r,t)?(c.push({pointNumber:r,lon:f[0],lat:f[1]}),h.selected=1):h.selected=0;}}return c};},8738:function(t,e,r){var n=r(3208).rb,i=r(3208).ay,a=r(93049).extendFlat,o=r(19326),s=r(36640),l=r(9829),c=s.line;t.exports={mode:s.mode,r:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},theta:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},r0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\"},dr:{valType:\"number\",dflt:1,editType:\"calc\"},theta0:{valType:\"any\",dflt:0,editType:\"calc+clearAxisTypes\"},dtheta:{valType:\"number\",editType:\"calc\"},thetaunit:{valType:\"enumerated\",values:[\"radians\",\"degrees\",\"gradians\"],dflt:\"degrees\",editType:\"calc+clearAxisTypes\"},text:s.text,texttemplate:i({editType:\"plot\"},{keys:[\"r\",\"theta\",\"text\"]}),hovertext:s.hovertext,line:{color:c.color,width:c.width,dash:c.dash,backoff:c.backoff,shape:a({},c.shape,{values:[\"linear\",\"spline\"]}),smoothing:c.smoothing,editType:\"calc\"},connectgaps:s.connectgaps,marker:s.marker,cliponaxis:a({},s.cliponaxis,{dflt:false}),textposition:s.textposition,textfont:s.textfont,fill:a({},s.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:o(),hoverinfo:a({},l.hoverinfo,{flags:[\"r\",\"theta\",\"text\",\"name\"]}),hoveron:s.hoveron,hovertemplate:n(),selected:s.selected,unselected:s.unselected};},13246:function(t,e,r){var n=r(10721),i=r(63821).BADNUM,a=r(29714),o=r(77272),s=r(99203),l=r(48861),c=r(26544).calcMarkerSize;t.exports=function(t,e){for(var r=t._fullLayout,u=e.subplot,h=r[u].radialaxis,f=r[u].angularaxis,p=h.makeCalcdata(e,\"r\"),d=f.makeCalcdata(e,\"theta\"),m=e._length,g=new Array(m),y=0;y<m;y++){var v=p[y],x=d[y],_=g[y]={};n(v)&&n(x)?(_.r=v,_.theta=x):_.r=i;}var b=c(e,m);return e._extremes.x=a.findExtremes(h,p,{ppad:b}),o(t,e),s(g,e),l(g,e),g};},73749:function(t,e,r){var n=r(34809),i=r(64726),a=r(24272),o=r(98168),s=r(91602),l=r(663),c=r(54114),u=r(32660).PTS_LINESONLY,h=r(8738);function f(t,e,r,i){var a,o=i(\"r\"),s=i(\"theta\");if(n.isTypedArray(o)&&(e.r=o=Array.from(o)),n.isTypedArray(s)&&(e.theta=s=Array.from(s)),o)s?a=Math.min(o.length,s.length):(a=o.length,i(\"theta0\"),i(\"dtheta\"));else {if(!s)return 0;a=e.theta.length,i(\"r0\"),i(\"dr\");}return e._length=a,a}t.exports={handleRThetaDefaults:f,supplyDefaults:function(t,e,r,p){function d(r,i){return n.coerce(t,e,h,r,i)}var m=f(0,e,0,d);if(m){d(\"thetaunit\"),d(\"mode\",m<u?\"lines+markers\":\"lines\"),d(\"text\"),d(\"hovertext\"),\"fills\"!==e.hoveron&&d(\"hovertemplate\"),i.hasMarkers(e)&&a(t,e,r,p,d,{gradient:true}),i.hasLines(e)&&(o(t,e,r,p,d,{backoff:true}),s(t,e,d),d(\"connectgaps\")),i.hasText(e)&&(d(\"texttemplate\"),l(t,e,p,d));var g=[];(i.hasMarkers(e)||i.hasText(e))&&(d(\"cliponaxis\"),d(\"marker.maxdisplayed\"),g.push(\"points\")),d(\"fill\"),\"none\"!==e.fill&&(c(t,e,r,d),i.hasLines(e)||s(t,e,d)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||g.push(\"fills\"),d(\"hoveron\",g.join(\"+\")||\"points\"),n.coerceSelectionMarkerOpacity(e,d);}else e.visible=false;}};},33368:function(t,e,r){var n=r(34809),i=r(29714);t.exports=function(t,e,r){var a,o,s={},l=r[e.subplot]._subplot;l?(a=l.radialAxis,o=l.angularAxis):(a=(l=r[e.subplot]).radialaxis,o=l.angularaxis);var c=a.c2l(t.r);s.rLabel=i.tickText(a,c,true).text;var u=\"degrees\"===o.thetaunit?n.rad2deg(t.theta):t.theta;return s.thetaLabel=i.tickText(o,u,true).text,s};},29709:function(t,e,r){var n=r(37255);function i(t,e,r,n){var i=r.radialAxis,a=r.angularAxis;i._hovertitle=\"r\",a._hovertitle=\"θ\";var o={};o[e.subplot]={_subplot:r};var s=e._module.formatLabels(t,e,o);n.rLabel=s.rLabel,n.thetaLabel=s.thetaLabel;var l=t.hi||e.hoverinfo,c=[];function u(t,e){c.push(t._hovertitle+\": \"+e);}if(!e.hovertemplate){var h=l.split(\"+\");-1!==h.indexOf(\"all\")&&(h=[\"r\",\"theta\",\"text\"]),-1!==h.indexOf(\"r\")&&u(i,n.rLabel),-1!==h.indexOf(\"theta\")&&u(a,n.thetaLabel),-1!==h.indexOf(\"text\")&&n.text&&(c.push(n.text),delete n.text),n.extraText=c.join(\"<br>\");}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&false!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,c=s.cd[s.index],u=s.trace;if(l.isPtInside(c))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(c,u,l,s),s.hovertemplate=u.hovertemplate,o}},makeHoverPointText:i};},66939:function(t,e,r){t.exports={moduleType:\"trace\",name:\"scatterpolar\",basePlotModule:r(31645),categories:[\"polar\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:r(8738),supplyDefaults:r(73749).supplyDefaults,colorbar:r(21146),formatLabels:r(33368),calc:r(13246),plot:r(43836),style:r(9408).style,styleOnSelect:r(9408).styleOnSelect,hoverPoints:r(29709).hoverPoints,selectPoints:r(32665),meta:{}};},43836:function(t,e,r){var n=r(36098),i=r(63821).BADNUM;t.exports=function(t,e,r){for(var a=e.layers.frontplot.select(\"g.scatterlayer\"),o=e.xaxis,s=e.yaxis,l={xaxis:o,yaxis:s,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},c=e.radialAxis,u=e.angularAxis,h=0;h<r.length;h++)for(var f=r[h],p=0;p<f.length;p++){0===p&&(f[0].trace._xA=o,f[0].trace._yA=s);var d=f[p],m=d.r;if(m===i)d.x=d.y=i;else {var g=c.c2g(m),y=u.c2g(d.theta);d.x=g*Math.cos(y),d.y=g*Math.sin(y);}}n(t,l,r,a);};},58319:function(t,e,r){var n=r(8738),i=r(92089),a=r(3208).ay;t.exports={mode:n.mode,r:n.r,theta:n.theta,r0:n.r0,dr:n.dr,theta0:n.theta0,dtheta:n.dtheta,thetaunit:n.thetaunit,text:n.text,texttemplate:a({editType:\"plot\"},{keys:[\"r\",\"theta\",\"text\"]}),hovertext:n.hovertext,hovertemplate:n.hovertemplate,line:{color:i.line.color,width:i.line.width,dash:i.line.dash,editType:\"calc\"},connectgaps:i.connectgaps,marker:i.marker,fill:i.fill,fillcolor:i.fillcolor,textposition:i.textposition,textfont:i.textfont,hoverinfo:n.hoverinfo,selected:n.selected,unselected:n.unselected};},25796:function(t,e,r){t.exports={moduleType:\"trace\",name:\"scatterpolargl\",basePlotModule:r(31645),categories:[\"gl\",\"regl\",\"polar\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:r(58319),supplyDefaults:r(14952),colorbar:r(21146),formatLabels:r(94015),calc:r(71535),hoverPoints:r(47522).hoverPoints,selectPoints:r(17168),meta:{}};},71535:function(t,e,r){var 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e=t._fullLayout,r=e._glcanvas.data()[0].regl,i=e._splomGrid;i||(i=e._splomGrid=n(r)),i.update(function(t){var e,r=t._context.plotGlPixelRatio,n=t._fullLayout,i=n._size,a=[0,0,n.width*r,n.height*r],o={};function s(t,e,n,i,s,l){n*=r,i*=r,s*=r,l*=r;var c=e[t+\"color\"],u=e[t+\"width\"],h=String(c+u);h in o?o[h].data.push(NaN,NaN,n,i,s,l):o[h]={data:[n,i,s,l],join:\"rect\",thickness:u*r,color:c,viewport:a,range:a,overlay:false};}for(e in n._splomSubplots){var l,u,h=n._plots[e],f=h.xaxis,p=h.yaxis,d=f._gridVals,m=p._gridVals,g=f._offset,y=f._length,v=p._length,x=i.b+p.domain[0]*i.h,_=-p._m,b=-_*p.r2l(p.range[0],p.calendar);if(f.showgrid)for(e=0;e<d.length;e++)l=g+f.l2p(d[e].x),s(\"grid\",f,l,x,l,x+v);if(p.showgrid)for(e=0;e<m.length;e++)s(\"grid\",p,g,u=x+b+_*m[e].x,g+y,u);c(t,f,p)&&(l=g+f.l2p(0),s(\"zeroline\",f,l,x,l,x+v)),c(t,p,f)&&s(\"zeroline\",p,g,u=x+b+0,g+y,u);}var w=[];for(e in o)w.push(o[e]);return w}(t));}t.exports={name:u,attr:s.attr,attrRegex:s.attrRegex,layoutAttributes:s.layoutAttributes,supplyLayoutDefaults:s.supplyLayoutDefaults,drawFramework:s.drawFramework,plot:function(t){var e=t._fullLayout,r=i.getModule(u),n=o(t.calcdata,r)[0];a(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],h)&&(e._hasOnlyLargeSploms&&p(t),r.plot(t,{},n));},drag:function(t){var e=t.calcdata,r=t._fullLayout;r._hasOnlyLargeSploms&&p(t);for(var n=0;n<e.length;n++){var i=e[n][0].trace,a=r._splomScenes[i.uid];\"splom\"===i.type&&a&&a.matrix&&f(t,i,a);}},updateGrid:p,clean:function(t,e,r,n){var i,a={};if(n._splomScenes){for(i=0;i<t.length;i++){var o=t[i];\"splom\"===o.type&&(a[o.uid]=1);}for(i=0;i<r.length;i++){var l=r[i];if(!a[l.uid]){var c=n._splomScenes[l.uid];c&&c.destroy&&c.destroy(),n._splomScenes[l.uid]=null,delete n._splomScenes[l.uid];}}}0===Object.keys(n._splomScenes||{}).length&&delete 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n=r(52875),i=r(36544).calcHover,a=r(29714).getFromId,o=r(93049).extendFlat;function s(t,e,r,a){var o=t.cd[0].trace,s=t.scene.matrixOptions.cdata,l=t.xa,c=t.ya,u=l.c2p(e),h=c.c2p(r),f=t.distance,p=n.getDimIndex(o,l),d=n.getDimIndex(o,c);if(false===p||false===d)return [t];for(var m,g,y=s[p],v=s[d],x=f,_=0;_<y.length;_++)if(!a||_===t.index){var b=y[_],w=v[_],T=l.c2p(b)-u,k=c.c2p(w)-h,A=Math.sqrt(T*T+k*k);(a||A<x)&&(x=g=A,m=_);}return t.index=m,t.distance=x,t.dxy=g,void 0===m?[t]:[i(t,y,v,o)]}t.exports={hoverPoints:function(t,e,r,n,i){i||(i={});var l=\"x\"===(n||\"\").charAt(0),c=\"y\"===(n||\"\").charAt(0),u=s(t,e,r);if((l||c)&&\"axis\"===i.hoversubplots&&u[0])for(var h=(l?t.xa:t.ya)._subplotsWith,f=i.gd,p=o({},t),d=0;d<h.length;d++){var m=h[d];if(m!==t.xa._id+t.ya._id){c?p.xa=a(f,m,\"x\"):p.ya=a(f,m,\"y\");var g=s(p,e,r,l||c);u=u.concat(g);}}return u}};},91450:function(t,e,r){var n=r(86690);n.basePlotModule=r(571),t.exports=n;},83027:function(t,e,r){var n=r(31239),i=r(34809),a=r(5975),o=r(70414).selectMode;function s(t,e){var r,s,l,c,u,h=t._fullLayout,f=h._size,p=e.trace,d=e.t,m=h._splomScenes[p.uid],g=m.matrixOptions,y=g.cdata,v=h._glcanvas.data()[0].regl,x=h.dragmode;if(0!==y.length){g.lower=p.showupperhalf,g.upper=p.showlowerhalf,g.diagonal=p.diagonal.visible;var _=p._visibleDims,b=y.length,w=m.viewOpts={};for(w.ranges=new Array(b),w.domains=new Array(b),u=0;u<_.length;u++){l=_[u];var T=w.ranges[u]=new Array(4),k=w.domains[u]=new Array(4);(r=a.getFromId(t,p._diag[l][0]))&&(T[0]=r._rl[0],T[2]=r._rl[1],k[0]=r.domain[0],k[2]=r.domain[1]),(s=a.getFromId(t,p._diag[l][1]))&&(T[1]=s._rl[0],T[3]=s._rl[1],k[1]=s.domain[0],k[3]=s.domain[1]);}var A=t._context.plotGlPixelRatio,M=f.l*A,S=f.b*A,E=f.w*A,C=f.h*A;w.viewport=[M,S,E+M,C+S],true===m.matrix&&(m.matrix=n(v));var L=h.clickmode.indexOf(\"select\")>-1,I=true;if(o(x)||p.selectedpoints||L){var P=p._length;if(p.selectedpoints){m.selectBatch=p.selectedpoints;var z=p.selectedpoints,O={};for(l=0;l<z.length;l++)O[z[l]]=true;var D=[];for(l=0;l<P;l++)O[l]||D.push(l);m.unselectBatch=D;}var R=d.xpx=new Array(b),F=d.ypx=new Array(b);for(u=0;u<_.length;u++){if(l=_[u],r=a.getFromId(t,p._diag[l][0]))for(R[u]=new Array(P),c=0;c<P;c++)R[u][c]=r.c2p(y[u][c]);if(s=a.getFromId(t,p._diag[l][1]))for(F[u]=new Array(P),c=0;c<P;c++)F[u][c]=s.c2p(y[u][c]);}if(m.selectBatch.length||m.unselectBatch.length){var B=i.extendFlat({},g,m.unselectedOptions,w),N=i.extendFlat({},g,m.selectedOptions,w);m.matrix.update(B,N),I=false;}}else d.xpx=d.ypx=null;if(I){var j=i.extendFlat({},g,w);m.matrix.update(j,null);}}}t.exports=function(t,e,r){if(r.length)for(var n=0;n<r.length;n++)s(t,r[n][0]);};},78880:function(t,e,r){var n=r(34809);t.exports=function(t,e){var r=t._fullLayout,i=e.uid,a=r._splomScenes;a||(a=r._splomScenes={});var o={dirty:true,selectBatch:[],unselectBatch:[]},s=a[e.uid];return s||((s=a[i]=n.extendFlat({},o,{matrix:false,selectBatch:[],unselectBatch:[]})).draw=function(){s.matrix&&s.matrix.draw&&(s.selectBatch.length||s.unselectBatch.length?s.matrix.draw(s.unselectBatch,s.selectBatch):s.matrix.draw()),s.dirty=false;},s.destroy=function(){s.matrix&&s.matrix.destroy&&s.matrix.destroy(),s.matrixOptions=null,s.selectBatch=null,s.unselectBatch=null,s=null;}),s.dirty||n.extendFlat(s,o),s};},13392:function(t,e,r){var n=r(34809),i=n.pushUnique,a=r(64726),o=r(52875);t.exports=function(t,e){var r=t.cd,s=r[0].trace,l=r[0].t,c=t.scene,u=c.matrixOptions.cdata,h=t.xaxis,f=t.yaxis,p=[];if(!c)return p;var d=!a.hasMarkers(s)&&!a.hasText(s);if(true!==s.visible||d)return p;var m=o.getDimIndex(s,h),g=o.getDimIndex(s,f);if(false===m||false===g)return p;var y=l.xpx[m],v=l.ypx[g],x=u[m],_=u[g],b=(t.scene.selectBatch||[]).slice(),w=[];if(false!==e&&!e.degenerate)for(var T=0;T<x.length;T++)e.contains([y[T],v[T]],null,T,t)?(p.push({pointNumber:T,x:x[T],y:_[T]}),i(b,T)):-1!==b.indexOf(T)?i(b,T):w.push(T);var k=c.matrixOptions;return b.length||w.length?c.selectBatch.length||c.unselectBatch.length||c.matrix.update(c.unselectedOptions,n.extendFlat({},k,c.selectedOptions,c.viewOpts)):c.matrix.update(k,null),c.selectBatch=b,c.unselectBatch=w,p};},14774:function(t,e,r){var n=r(87163),i=r(80712).axisHoverFormat,a=r(3208).rb,o=r(42450),s=r(9829),l=r(93049).extendFlat,c={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:false})};l(c,n(\"\",{colorAttr:\"u/v/w 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C=function(){v=0,M=[],S=[],E=[];};(!v||v<M.length*S.length*E.length)&&C();var L=function(t){return \"x\"===t?m:\"y\"===t?g:y},I=function(t){return \"x\"===t?M:\"y\"===t?S:E},P=function(t){return t[v-1]<t[0]?-1:1},z=L(A[1]),O=L(A[3]),D=L(A[5]),R=I(A[1]).length,F=I(A[3]).length,B=I(A[5]).length,N=false,j=function(t,e,r){return R*(F*t+e)+r},U=P(L(A[1])),V=P(L(A[3])),q=P(L(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var H=j(e,r,i),G=j(e,r,i+1),Z=j(e,r+1,i),W=j(e+1,r,i);if(z[H]*U<z[G]*U&&O[H]*V<O[Z]*V&&D[H]*q<D[W]*q||(N=true),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! Unable to input data grid.\"),C()),{xMin:_,yMin:w,zMin:k,xMax:x,yMax:b,zMax:T,Xs:M,Ys:S,Zs:E,len:v,fill:A}}function o(t){return n.distinctVals(t).vals}function s(t,e){if(void 0===e&&(e=t.length),n.isTypedArray(t))return t.subarray(0,e);for(var r=[],i=0;i<e;i++)r[i]=+t[i];return r}t.exports={calc:function(t,e){e._len=Math.min(e.u.length,e.v.length,e.w.length,e.x.length,e.y.length,e.z.length),e._u=s(e.u,e._len),e._v=s(e.v,e._len),e._w=s(e.w,e._len),e._x=s(e.x,e._len),e._y=s(e.y,e._len),e._z=s(e.z,e._len);var r=a(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;var n,o,l,c=0;e.starts&&(n=s(e.starts.x||[]),o=s(e.starts.y||[]),l=s(e.starts.z||[]),c=Math.min(n.length,o.length,l.length)),e._startsX=n||[],e._startsY=o||[],e._startsZ=l||[];var u,h=0,f=1/0;for(u=0;u<e._len;u++){var p=e._u[u],d=e._v[u],m=e._w[u],g=Math.sqrt(p*p+d*d+m*m);h=Math.max(h,g),f=Math.min(f,g);}for(i(t,e,{vals:[f,h],containerStr:\"\",cLetter:\"c\"}),u=0;u<c;u++){var y=n[u];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var v=o[u];r.yMax=Math.max(r.yMax,v),r.yMin=Math.min(r.yMin,v);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x);}e._slen=c,e._normMax=h,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax];},filter:s,processGrid:a};},49280:function(t,e,r){var n=r(99098).gl_streamtube3d,i=n.createTubeMesh,a=r(34809),o=r(46998).parseColorScale,s=r(88856).extractOpts,l=r(88239),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null;}var h=u.prototype;function f(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,h={};function d(t,e){var n=r[e],o=i[c[e]];return a.simpleMap(t,(function(t){return n.d2l(t)*o}))}if(h.vectors=l(d(e._u,\"xaxis\"),d(e._v,\"yaxis\"),d(e._w,\"zaxis\"),u),!u)return {positions:[],cells:[]};var m=d(e._Xs,\"xaxis\"),g=d(e._Ys,\"yaxis\"),y=d(e._Zs,\"zaxis\");if(h.meshgrid=[m,g,y],h.gridFill=e._gridFill,e._slen)h.startingPositions=l(d(e._startsX,\"xaxis\"),d(e._startsY,\"yaxis\"),d(e._startsZ,\"zaxis\"));else {for(var v=g[0],x=f(m),_=f(y),b=new Array(x.length*_.length),w=0,T=0;T<x.length;T++)for(var k=0;k<_.length;k++)b[w++]=[x[T],v,_[k]];h.startingPositions=b;}h.colormap=o(e),h.tubeSize=e.sizeref,h.maxLength=e.maxdisplayed;var A=d(e._xbnds,\"xaxis\"),M=d(e._ybnds,\"yaxis\"),S=d(e._zbnds,\"zaxis\"),E=p(m),C=p(g),L=p(y),I=[[A[0]-E[0],M[0]-C[0],S[0]-L[0]],[A[1]+E[1],M[1]+C[1],S[1]+L[1]]],P=n(h,I),z=s(e);P.vertexIntensityBounds=[z.min/e._normMax,z.max/e._normMax];var O=e.lightposition;return P.lightPosition=[O.x,O.y,O.z],P.ambient=e.lighting.ambient,P.diffuse=e.lighting.diffuse,P.specular=e.lighting.specular,P.roughness=e.lighting.roughness,P.fresnel=e.lighting.fresnel,P.opacity=e.opacity,e._pad=P.tubeScale*e.sizeref*2,P}h.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[c[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],\"xaxis\"),n(i[1],\"yaxis\"),n(i[2],\"zaxis\"),n(a[0],\"xaxis\"),n(a[1],\"yaxis\"),n(a[2],\"zaxis\"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,true}},h.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e);},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose();},t.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new u(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o};},52737:function(t,e,r){var n=r(34809),i=r(39356),a=r(14774);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"u\"),c=s(\"v\"),u=s(\"w\"),h=s(\"x\"),f=s(\"y\"),p=s(\"z\");l&&l.length&&c&&c.length&&u&&u.length&&h&&h.length&&f&&f.length&&p&&p.length?(s(\"starts.x\"),s(\"starts.y\"),s(\"starts.z\"),s(\"maxdisplayed\"),s(\"sizeref\"),s(\"lighting.ambient\"),s(\"lighting.diffuse\"),s(\"lighting.specular\"),s(\"lighting.roughness\"),s(\"lighting.fresnel\"),s(\"lightposition.x\"),s(\"lightposition.y\"),s(\"lightposition.z\"),i(t,e,o,s,{prefix:\"\",cLetter:\"c\"}),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),s(\"uhoverformat\"),s(\"vhoverformat\"),s(\"whoverformat\"),s(\"xhoverformat\"),s(\"yhoverformat\"),s(\"zhoverformat\"),e._length=null):e.visible=false;};},51943:function(t,e,r){t.exports={moduleType:\"trace\",name:\"streamtube\",basePlotModule:r(2487),categories:[\"gl3d\",\"showLegend\"],attributes:r(14774),supplyDefaults:r(52737),colorbar:{min:\"cmin\",max:\"cmax\"},calc:r(36402).calc,plot:r(49280),eventData:function(t,e){return t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}};},56708:function(t,e,r){var n=r(9829),i=r(3208).rb,a=r(3208).ay,o=r(87163),s=r(13792).u,l=r(55412),c=r(2032),u=r(93049).extendFlat,h=r(94850).k;t.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:true},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:h,editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:false})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current path\",\"percent root\",\"percent entry\",\"percent parent\"],extras:[\"none\"],editType:\"plot\"},texttemplate:a({editType:\"plot\"},{keys:c.eventDataKeys.concat([\"label\",\"value\"])}),hovertext:l.hovertext,hoverinfo:u({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"name\",\"current path\",\"percent root\",\"percent entry\",\"percent parent\"],dflt:\"label+text+value+name\"}),hovertemplate:i({},{keys:c.eventDataKeys}),textfont:l.textfont,insidetextorientation:l.insidetextorientation,insidetextfont:l.insidetextfont,outsidetextfont:u({},l.outsidetextfont,{}),rotation:{valType:\"angle\",dflt:0,editType:\"plot\"},sort:l.sort,root:{color:{valType:\"color\",editType:\"calc\",dflt:\"rgba(0,0,0,0)\"},editType:\"calc\"},domain:s({name:\"sunburst\",trace:true,editType:\"calc\"})};},14724:function(t,e,r){var n=r(44122);e.name=\"sunburst\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a);},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a);};},14852:function(t,e,r){var n=r(92264),i=r(10721),a=r(34809),o=r(88856).makeColorScaleFuncFromTrace,s=r(44148).makePullColorFn,l=r(44148).generateExtendedColors,c=r(88856).calc,u=r(63821).ALMOST_EQUAL,h={},f={},p={};function d(t,e,r){var n=0,i=t.children;if(i){for(var a=i.length,o=0;o<a;o++)n+=d(i[o],e,r);r.branches&&n++;}else r.leaves&&n++;return t.value=t.data.data.value=n,e._values||(e._values=[]),e._values[t.data.data.i]=n,n}e.calc=function(t,e){var r,l,h,f,p,m,g=t._fullLayout,y=e.ids,v=a.isArrayOrTypedArray(y),x=e.labels,_=e.parents,b=e.values,w=a.isArrayOrTypedArray(b),T=[],k={},A={},M=function(t){return t||\"number\"==typeof t},S=function(t){return !w||i(b[t])&&b[t]>=0};v?(r=Math.min(y.length,_.length),l=function(t){return M(y[t])&&S(t)},h=function(t){return String(y[t])}):(r=Math.min(x.length,_.length),l=function(t){return M(x[t])&&S(t)},h=function(t){return String(x[t])}),w&&(r=Math.min(r,b.length));for(var E=0;E<r;E++)if(l(E)){var C=h(E),L=M(_[E])?String(_[E]):\"\",I={i:E,id:C,pid:L,label:M(x[E])?String(x[E]):\"\"};w&&(I.v=+b[E]),T.push(I),p=C,k[f=L]?k[f].push(p):k[f]=[p],A[p]=1;}if(k[\"\"]){if(k[\"\"].length>1){for(var P=a.randstr(),z=0;z<T.length;z++)\"\"===T[z].pid&&(T[z].pid=P);T.unshift({hasMultipleRoots:true,id:P,pid:\"\",label:\"\"});}}else {var O,D=[];for(O in k)A[O]||D.push(O);if(1!==D.length)return a.warn([\"Multiple implied roots, cannot build\",e.type,\"hierarchy of\",e.name+\".\",\"These roots include:\",D.join(\", \")].join(\" \"));O=D[0],T.unshift({hasImpliedRoot:true,id:O,pid:\"\",label:O});}try{m=n.stratify().id((function(t){return t.id})).parentId((function(t){return t.pid}))(T);}catch(t){return a.warn([\"Failed to build\",e.type,\"hierarchy of\",e.name+\".\",\"Error:\",t.message].join(\" \"))}var R=n.hierarchy(m),F=false;if(w)switch(e.branchvalues){case \"remainder\":R.sum((function(t){return t.data.v}));break;case \"total\":R.each((function(t){var r=t.data.data,n=r.v;if(t.children){var i=t.children.reduce((function(t,e){return t+e.data.data.v}),0);if((r.hasImpliedRoot||r.hasMultipleRoots)&&(n=i),n<i*u)return F=true,a.warn([\"Total value for node\",t.data.data.id,\"of\",e.name,\"is smaller than the sum of its children.\",\"\\nparent value =\",n,\"\\nchildren sum =\",i].join(\" \"))}t.value=n;}));}else d(R,e,{branches:-1!==e.count.indexOf(\"branches\"),leaves:-1!==e.count.indexOf(\"leaves\")});if(!F){var B,N;e.sort&&R.sort((function(t,e){return e.value-t.value}));var j=e.marker.colors||[],U=!!j.length;return e._hasColorscale?(U||(j=w?e.values:e._values),c(t,e,{vals:j,containerStr:\"marker\",cLetter:\"c\"}),N=o(e.marker)):B=s(g[\"_\"+e.type+\"colormap\"]),R.each((function(t){var r=t.data.data;r.color=e._hasColorscale?N(j[r.i]):B(j[r.i],r.id);})),T[0].hierarchy=R,T}},e._runCrossTraceCalc=function(t,e){var r=e._fullLayout,n=e.calcdata,i=r[t+\"colorway\"],a=r[\"_\"+t+\"colormap\"];r[\"extend\"+t+\"colors\"]&&(i=l(i,\"icicle\"===t?p:\"treemap\"===t?f:h));var o,s=0;function c(t){var e=t.data.data,r=e.id;false===e.color&&(a[r]?e.color=a[r]:t.parent?t.parent.parent?e.color=t.parent.data.data.color:(a[r]=e.color=i[s%i.length],s++):e.color=o);}for(var u=0;u<n.length;u++){var d=n[u][0];d.trace.type===t&&d.hierarchy&&(o=d.trace.root.color,d.hierarchy.each(c));}},e.crossTraceCalc=function(t){return e._runCrossTraceCalc(\"sunburst\",t)};},2032:function(t){t.exports={CLICK_TRANSITION_TIME:750,CLICK_TRANSITION_EASING:\"linear\",eventDataKeys:[\"currentPath\",\"root\",\"entry\",\"percentRoot\",\"percentEntry\",\"percentParent\"]};},33459:function(t,e,r){var n=r(34809),i=r(56708),a=r(13792).N,o=r(17550).handleText,s=r(46979).handleMarkerDefaults,l=r(88856),c=l.hasColorscale,u=l.handleDefaults;t.exports=function(t,e,r,l){function h(r,a){return n.coerce(t,e,i,r,a)}var f=h(\"labels\"),p=h(\"parents\");if(f&&f.length&&p&&p.length){var d=h(\"values\");d&&d.length?h(\"branchvalues\"):h(\"count\"),h(\"level\"),h(\"maxdepth\"),s(t,e,l,h);var m=e._hasColorscale=c(t,\"marker\",\"colors\")||(t.marker||{}).coloraxis;m&&u(t,e,l,h,{prefix:\"marker.\",cLetter:\"c\"}),h(\"leaf.opacity\",m?1:.7);var g=h(\"text\");h(\"texttemplate\"),e.texttemplate||h(\"textinfo\",n.isArrayOrTypedArray(g)?\"text+label\":\"label\"),h(\"hovertext\"),h(\"hovertemplate\"),o(t,e,l,h,\"auto\",{moduleHasSelected:false,moduleHasUnselected:false,moduleHasConstrain:false,moduleHasCliponaxis:false,moduleHasTextangle:false,moduleHasInsideanchor:false}),h(\"insidetextorientation\"),h(\"sort\"),h(\"rotation\"),h(\"root.color\"),a(e,l,h),e._length=null;}else e.visible=false;};},72043:function(t,e,r){var n=r(62203),i=r(78766);t.exports=function(t,e,r,a,o){var s=e.data.data,l=s.i,c=o||s.color;if(l>=0){e.i=s.i;var u=r.marker;u.pattern&&u.colors&&u.pattern.shape||(u.color=c,e.color=c),n.pointStyle(t,r,a,e);}else i.fill(t,c);};},44691:function(t,e,r){var n=r(45568),i=r(33626),a=r(36040).appendArrayPointValue,o=r(32141),s=r(34809),l=r(68596),c=r(33108),u=r(37252).formatPieValue;function h(t,e,r){for(var n=t.data.data,i={curveNumber:e.index,pointNumber:n.i,data:e._input,fullData:e},o=0;o<r.length;o++){var s=r[o];s in t&&(i[s]=t[s]);}return \"parentString\"in t&&!c.isHierarchyRoot(t)&&(i.parent=t.parentString),a(i,e,n.i),i}t.exports=function(t,e,r,a,f){var p=a[0],d=p.trace,m=p.hierarchy,g=\"sunburst\"===d.type,y=\"treemap\"===d.type||\"icicle\"===d.type;\"_hasHoverLabel\"in d||(d._hasHoverLabel=false),\"_hasHoverEvent\"in d||(d._hasHoverEvent=false),t.on(\"mouseover\",(function(i){var a=r._fullLayout;if(!r._dragging&&false!==a.hovermode){var l,v=r._fullData[d.index],x=i.data.data,_=x.i,b=c.isHierarchyRoot(i),w=c.getParent(m,i),T=c.getValue(i),k=function(t){return s.castOption(v,_,t)},A=k(\"hovertemplate\"),M=o.castHoverinfo(v,a,_),S=a.separators;if(A||M&&\"none\"!==M&&\"skip\"!==M){var E,C;g&&(E=p.cx+i.pxmid[0]*(1-i.rInscribed),C=p.cy+i.pxmid[1]*(1-i.rInscribed)),y&&(E=i._hoverX,C=i._hoverY);var L,I={},P=[],z=[],O=function(t){return  -1!==P.indexOf(t)};M&&(P=\"all\"===M?v._module.attributes.hoverinfo.flags:M.split(\"+\")),I.label=x.label,O(\"label\")&&I.label&&z.push(I.label),x.hasOwnProperty(\"v\")&&(I.value=x.v,I.valueLabel=u(I.value,S),O(\"value\")&&z.push(I.valueLabel)),I.currentPath=i.currentPath=c.getPath(i.data),O(\"current path\")&&!b&&z.push(I.currentPath);var D=[],R=function(){ -1===D.indexOf(L)&&(z.push(L),D.push(L));};I.percentParent=i.percentParent=T/c.getValue(w),I.parent=i.parentString=c.getPtLabel(w),O(\"percent parent\")&&(L=c.formatPercent(I.percentParent,S)+\" of \"+I.parent,R()),I.percentEntry=i.percentEntry=T/c.getValue(e),I.entry=i.entry=c.getPtLabel(e),!O(\"percent entry\")||b||i.onPathbar||(L=c.formatPercent(I.percentEntry,S)+\" of \"+I.entry,R()),I.percentRoot=i.percentRoot=T/c.getValue(m),I.root=i.root=c.getPtLabel(m),O(\"percent 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B=[];o.loneHover(F,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r,inOut_bbox:B}),l[0].bbox=B[0],d._hasHoverLabel=true;}if(y){var N=t.select(\"path.surface\");f.styleOne(N,i,v,r,{hovered:true});}d._hasHoverEvent=true,r.emit(\"plotly_hover\",{points:l||[h(i,v,f.eventDataKeys)],event:n.event});}})),t.on(\"mouseout\",(function(e){var i=r._fullLayout,a=r._fullData[d.index],s=n.select(this).datum();if(d._hasHoverEvent&&(e.originalEvent=n.event,r.emit(\"plotly_unhover\",{points:[h(s,a,f.eventDataKeys)],event:n.event}),d._hasHoverEvent=false),d._hasHoverLabel&&(o.loneUnhover(i._hoverlayer.node()),d._hasHoverLabel=false),y){var l=t.select(\"path.surface\");f.styleOne(l,s,a,r,{hovered:false});}})),t.on(\"click\",(function(t){var e=r._fullLayout,a=r._fullData[d.index],s=g&&(c.isHierarchyRoot(t)||c.isLeaf(t)),u=c.getPtId(t),p=c.isEntry(t)?c.findEntryWithChild(m,u):c.findEntryWithLevel(m,u),y=c.getPtId(p),v={points:[h(t,a,f.eventDataKeys)],event:n.event};s||(v.nextLevel=y);var 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h=t.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:true},hovertext:{valType:\"string\",dflt:\"\",arrayOk:true},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:false,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or 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n=r(28379);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"});};},27159:function(t,e,r){var n=r(99098).gl_surface3d,i=r(99098).ndarray,a=r(99098).ndarray_linear_interpolate.d2,o=r(69295),s=r(78106),l=r(34809).isArrayOrTypedArray,c=r(46998).parseColorScale,u=r(55010),h=r(88856).extractOpts;function f(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[false,false,false],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=true,this.objectOffset=[0,0,0];}var p=f.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a]);}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,true}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function m(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(m(t,n));}return e}function y(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function v(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0;}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0;}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],_=x[9],b=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]));}(t,e,w,r),t}function k(t,e){for(var r=false,n=0;n<t.length;n++)if(e===t[n]){r=true;break} false===r&&t.push(e);}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=v(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<_;)r*=2;for(;r>b;)r--,r/=y(r),++r<_&&(r=b);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),h=[1/e,0,0,0,1/r,0,0,0,1],f=0;f<t.length;++f){this.surface.padField(u,t[f]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,h),t[f]=p;}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[false,false,false],a=false;for(t=0;t<3;++t)if(this.showContour[t]&&(a=true,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=true,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o});}},p.update=function(t){var e,r,n,a,l=this.scene,f=l.fullSceneLayout,p=this.surface,d=c(t),m=l.dataScale,g=t.z[0].length,y=t._ylength,v=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<y;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,f.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,f.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,f.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<y;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var _=[i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)_[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[true,true,true],showSurface:!t.hidesurface,contourProject:[[false,false,false],[false,false,false],[false,false,false]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=h(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(g*y),[g,y]);for(r=0;r<g;r++)for(n=0;n<y;n++)k.set(r,n,t.surfacecolor[n][r]);_.push(k);}else w.intensityBounds[0]*=m[2],w.intensityBounds[1]*=m[2];(b<_[0].shape[0]||b<_[0].shape[1])&&(this.refineData=false),true===this.refineData&&(this.dataScaleX=this.estimateScale(_[0].shape[0],0),this.dataScaleY=this.estimateScale(_[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(_)),t.surfacecolor&&(w.intensity=_.pop());var A=[true,true,true],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=true,w.levels[e]=v[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=false,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth));}((function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]}))(d)&&(w.vertexColor=true),w.objectOffset=this.objectOffset,w.coords=_,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=true,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z]);},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose();},t.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new f(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a};},65444:function(t,e,r){var n=r(33626),i=r(34809),a=r(39356),o=r(16131);function s(t,e,r,n){var i=n(\"opacityscale\");\"max\"===i?e.opacityscale=[[0,.1],[1,1]]:\"min\"===i?e.opacityscale=[[0,1],[1,.1]]:\"extremes\"===i?e.opacityscale=function(t,e){for(var r=[],n=0;n<32;n++){var i=n/31,a=.1+.9*(1-Math.pow(Math.sin(1*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))]);}return r}():function(t){var e=0;if(!Array.isArray(t)||t.length<2)return  false;if(!t[0]||!t[t.length-1])return  false;if(0!=+t[0][0]||1!=+t[t.length-1][0])return  false;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return  false;e=+n[0];}return  true}(i)||(e.opacityscale=void 0);}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e]);}t.exports={supplyDefaults:function(t,e,r,c){var u,h;function f(r,n){return i.coerce(t,e,o,r,n)}var p=f(\"x\"),d=f(\"y\"),m=f(\"z\");if(!m||!m.length||p&&p.length<1||d&&d.length<1)e.visible=false;else {e._xlength=Array.isArray(p)&&i.isArrayOrTypedArray(p[0])?m.length:m[0].length,e._ylength=m.length,n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],c),f(\"text\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"xhoverformat\"),f(\"yhoverformat\"),f(\"zhoverformat\"),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"hidesurface\",\"connectgaps\",\"opacity\"].forEach((function(t){f(t);}));var g=f(\"surfacecolor\"),y=[\"x\",\"y\",\"z\"];for(u=0;u<3;++u){var v=\"contours.\"+y[u],x=f(v+\".show\"),_=f(v+\".highlight\");if(x||_)for(h=0;h<3;++h)f(v+\".project.\"+y[h]);x&&(f(v+\".color\"),f(v+\".width\"),f(v+\".usecolormap\")),_&&(f(v+\".highlightcolor\"),f(v+\".highlightwidth\")),f(v+\".start\"),f(v+\".end\"),f(v+\".size\");}g||(l(t,\"zmin\",\"cmin\"),l(t,\"zmax\",\"cmax\"),l(t,\"zauto\",\"cauto\")),a(t,e,c,f,{prefix:\"\",cLetter:\"c\"}),s(0,e,0,f),e._length=null;}},opacityscaleDefaults:s};},95984:function(t,e,r){t.exports={attributes:r(16131),supplyDefaults:r(65444).supplyDefaults,colorbar:{min:\"cmin\",max:\"cmax\"},calc:r(53027),plot:r(27159),moduleType:\"trace\",name:\"surface\",basePlotModule:r(2487),categories:[\"gl3d\",\"2dMap\",\"showLegend\"],meta:{}};},92294:function(t,e,r){var n=r(50222),i=r(93049).extendFlat,a=r(13582).overrideAll,o=r(80337),s=r(13792).u,l=r(80712).descriptionOnlyNumbers;(t.exports=a({domain:s({name:\"table\",trace:true}),columnwidth:{valType:\"number\",arrayOk:true,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell value\")},prefix:{valType:\"string\",arrayOk:true,dflt:null},suffix:{valType:\"string\",arrayOk:true,dflt:null},height:{valType:\"number\",dflt:28},align:i({},n.align,{arrayOk:true}),line:{width:{valType:\"number\",arrayOk:true,dflt:1},color:{valType:\"color\",arrayOk:true,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:true,dflt:\"white\"}},font:i({},o({arrayOk:true}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell value\")},prefix:{valType:\"string\",arrayOk:true,dflt:null},suffix:{valType:\"string\",arrayOk:true,dflt:null},height:{valType:\"number\",dflt:20},align:i({},n.align,{arrayOk:true}),line:{width:{valType:\"number\",arrayOk:true,dflt:1},color:{valType:\"color\",arrayOk:true,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:true,dflt:\"white\"}},font:i({},o({arrayOk:true}))}},\"calc\",\"from-root\")).transforms=void 0;},82662:function(t,e,r){var n=r(4173).eV,i=r(84576),a=\"table\";e.name=a,e.plot=function(t){var e=n(t.calcdata,a)[0];e.length&&i(t,e);},e.clean=function(t,e,r,n){var i=n._has&&n._has(a),o=e._has&&e._has(a);i&&!o&&n._paperdiv.selectAll(\".table\").remove();};},87522:function(t,e,r){var n=r(71293).wrap;t.exports=function(){return n({})};},18426:function(t){t.exports={cellPad:8,columnExtentOffset:10,columnTitleOffset:28,emptyHeaderHeight:16,latexCheck:/^\\$.*\\$$/,goldenRatio:1.618,lineBreaker:\"<br>\",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:\"cubic-out\",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:\"cubic-out\",uplift:5,wrapSpacer:\" \",wrapSplitCharacter:\" \",cn:{table:\"table\",tableControlView:\"table-control-view\",scrollBackground:\"scroll-background\",yColumn:\"y-column\",columnBlock:\"column-block\",scrollAreaClip:\"scroll-area-clip\",scrollAreaClipRect:\"scroll-area-clip-rect\",columnBoundary:\"column-boundary\",columnBoundaryClippath:\"column-boundary-clippath\",columnBoundaryRect:\"column-boundary-rect\",columnCells:\"column-cells\",columnCell:\"column-cell\",cellRect:\"cell-rect\",cellText:\"cell-text\",cellTextHolder:\"cell-text-holder\",scrollbarKit:\"scrollbar-kit\",scrollbar:\"scrollbar\",scrollbarSlider:\"scrollbar-slider\",scrollbarGlyph:\"scrollbar-glyph\",scrollbarCaptureZone:\"scrollbar-capture-zone\"}};},21908:function(t,e,r){var n=r(18426),i=r(93049).extendFlat,a=r(10721),o=r(87800).isTypedArray,s=r(87800).isArrayOrTypedArray;function l(t){if(s(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,l(t[r]));return e}return t}function c(t,e){return t+e}function u(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)o(r[e])?r[e]=Array.from(r[e]):s(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(h(a)));}return r}function h(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=\"\";return e}function f(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function p(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function d(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,c=0;c<t.length;c++)r=t[c],o.rows.push({rowIndex:c,rowHeight:r}),((a+=r)>=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}t.exports=function(t,e){var r=u(e.cells.values),o=function(t){return t.slice(e.header.values.length,t.length)},m=u(e.header.values);m.length&&!m[0].length&&(m[0]=[\"\"],m=u(m));var g=m.concat(o(r).map((function(){return h((m[0]||[\"\"]).length)}))),y=e.domain,v=Math.floor(t._fullLayout._size.w*(y.x[1]-y.x[0])),x=Math.floor(t._fullLayout._size.h*(y.y[1]-y.y[0])),_=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],w=_.reduce(c,0),T=d(b,x-w+n.uplift),k=p(d(_,w),[]),A=p(T,k),M={},S=e._fullInput.columnorder;s(S)&&(S=Array.from(S)),S=S.concat(o(r.map((function(t,e){return e}))));var E=g.map((function(t,r){var n=s(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),C=E.reduce(c,0);E=E.map((function(t){return t/C*v}));var L=Math.max(l(e.header.line.width),l(e.cells.line.width)),I={key:e.uid+t._context.staticPlot,translateX:y.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-y.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:x,columnOrder:S,groupHeight:x,rowBlocks:A,headerRowBlocks:k,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:false},columns:g.map((function(t,e){var r=M[t];return M[t]=(r||0)+1,{key:t+\"__\"+M[t],label:t,specIndex:e,xIndex:S[e],xScale:f,x:void 0,calcdata:void 0,columnWidth:E[e]}}))};return I.columns.forEach((function(t){t.calcdata=I,t.x=f(t);})),I};},49618:function(t,e,r){var n=r(93049).extendFlat;e.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:true,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return [n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:false,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:false,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},e.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0;return [r,e?r+e.rows.length:0]}(t);return (t.values||[]).slice(e[0],e[1]).map((function(r,n){return {keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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a.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e(\"columnorder\",o);}(e,s),s(\"cells.values\"),s(\"cells.format\"),s(\"cells.align\"),s(\"cells.prefix\"),s(\"cells.suffix\"),s(\"cells.height\"),s(\"cells.line.width\"),s(\"cells.line.color\"),s(\"cells.fill.color\"),n.coerceFont(s,\"cells.font\",o.font),e._length=null;};},51671:function(t,e,r){t.exports={attributes:r(92294),supplyDefaults:r(23281),calc:r(87522),plot:r(84576),moduleType:\"trace\",name:\"table\",basePlotModule:r(82662),categories:[\"noOpacity\"],meta:{}};},84576:function(t,e,r){var n=r(18426),i=r(45568),a=r(34809),o=a.numberFormat,s=r(71293),l=r(62203),c=r(30635),u=r(34809).raiseToTop,h=r(34809).strTranslate,f=r(34809).cancelTransition,p=r(21908),d=r(49618),m=r(78766);function g(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function y(t,e){return \"clip\"+t._fullLayout._uid+\"_scrollAreaBottomClip_\"+e.key}function v(t,e){return \"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function x(t){return [].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function _(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(s.repeat,s.keyFun);a.enter().append(\"g\").classed(n.cn.scrollbarKit,true).style(\"shape-rendering\",\"geometricPrecision\"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return R(e,e.length-1)+(e.length?F(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-E(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom;})).attr(\"transform\",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return h(e,E(t))}));var o=a.selectAll(\".\"+n.cn.scrollbar).data(s.repeat,s.keyFun);o.enter().append(\"g\").classed(n.cn.scrollbar,true);var l=o.selectAll(\".\"+n.cn.scrollbarSlider).data(s.repeat,s.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,true),l.attr(\"transform\",(function(t){return h(0,t.scrollbarState.topY||0)}));var c=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(s.repeat,s.keyFun);c.enter().append(\"line\").classed(n.cn.scrollbarGlyph,true).attr(\"stroke\",\"black\").attr(\"stroke-width\",n.scrollbarWidth).attr(\"stroke-linecap\",\"round\").attr(\"y1\",n.scrollbarWidth/2),c.attr(\"y2\",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr(\"stroke-opacity\",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),c.transition().delay(0).duration(0),c.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr(\"stroke-opacity\",0);var u=o.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(s.repeat,s.keyFun);u.enter().append(\"line\").classed(n.cn.scrollbarCaptureZone,true).attr(\"stroke\",\"white\").attr(\"stroke-opacity\",.01).attr(\"stroke-width\",n.scrollbarCaptureWidth).attr(\"stroke-linecap\",\"butt\").attr(\"y1\",0).on(\"mousedown\",(function(r){var n=i.event.y,a=this.getBoundingClientRect(),o=r.scrollbarState,s=n-a.top,l=i.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(true);o.topY<=s&&s<=o.bottomY||L(e,t,null,l(s-o.barLength/2))(r);})).call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=true,t})).on(\"drag\",L(e,t)).on(\"dragend\",(function(){}))),u.attr(\"y2\",(function(t){return t.scrollbarState.scrollableAreaHeight})),e._context.staticPlot&&(c.remove(),u.remove());}function b(t,e,r,a){var o=function(t){var e=t.selectAll(\".\"+n.cn.columnCells).data(s.repeat,s.keyFun);return e.enter().append(\"g\").classed(n.cn.columnCells,true),e.exit().remove(),e}(r),c=function(t){var e=t.selectAll(\".\"+n.cn.columnCell).data(d.splitToCells,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.columnCell,true),e.exit().remove(),e}(o);!function(t){t.each((function(t,e){var r=t.calcdata.cells.font,n=t.column.specIndex,i={size:k(r.size,n,e),color:k(r.color,n,e),family:k(r.family,n,e),weight:k(r.weight,n,e),style:k(r.style,n,e),variant:k(r.variant,n,e),textcase:k(r.textcase,n,e),lineposition:k(r.lineposition,n,e),shadow:k(r.shadow,n,e)};t.rowNumber=t.key,t.align=k(t.calcdata.cells.align,n,e),t.cellBorderWidth=k(t.calcdata.cells.line.width,n,e),t.font=i;}));}(c);var u=function(t){var e=t.selectAll(\".\"+n.cn.cellRect).data(s.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"rect\").classed(n.cn.cellRect,true),e}(c);!function(t){t.attr(\"width\",(function(t){return t.column.columnWidth})).attr(\"stroke-width\",(function(t){return t.cellBorderWidth})).each((function(t){var e=i.select(this);m.stroke(e,k(t.calcdata.cells.line.color,t.column.specIndex,t.rowNumber)),m.fill(e,k(t.calcdata.cells.fill.color,t.column.specIndex,t.rowNumber));}));}(u);var h=function(t){var e=t.selectAll(\".\"+n.cn.cellTextHolder).data(s.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.cellTextHolder,true).style(\"shape-rendering\",\"geometricPrecision\"),e}(c),f=function(t){var e=t.selectAll(\".\"+n.cn.cellText).data(s.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"text\").classed(n.cn.cellText,true).style(\"cursor\",(function(){return \"auto\"})).on(\"mousedown\",(function(){i.event.stopPropagation();})),e}(h);!function(t){t.each((function(t){l.font(i.select(this),t.font);}));}(f),w(f,e,a,t),D(c);}function w(t,e,r,a){t.text((function(t){var e=t.column.specIndex,r=t.rowNumber,i=t.value,a=\"string\"==typeof i,s=a&&i.match(/<br>/i),l=!a||s;t.mayHaveMarkup=a&&i.match(/[<&>]/);var c,u=\"string\"==typeof(c=i)&&c.match(n.latexCheck);t.latex=u;var h,f,p=u?\"\":k(t.calcdata.cells.prefix,e,r)||\"\",d=u?\"\":k(t.calcdata.cells.suffix,e,r)||\"\",m=u?null:k(t.calcdata.cells.format,e,r)||null,g=p+(m?o(m)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!u&&(h=T(g)),t.cellHeightMayIncrease=s||u||t.mayHaveMarkup||(void 0===h?T(g):h),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var y=(\" \"===n.wrapSplitCharacter?g.replace(/<a href=/gi,\"<a_href=\"):g).split(n.wrapSplitCharacter),v=\" \"===n.wrapSplitCharacter?y.map((function(t){return t.replace(/<a_href=/gi,\"<a href=\")})):y;t.fragments=v.map((function(t){return {text:t,width:null}})),t.fragments.push({fragment:n.wrapSpacer,width:null}),f=v.join(n.lineBreaker)+n.lineBreaker+n.wrapSpacer;}else delete t.fragments,f=g;return f})).attr(\"dy\",(function(t){return t.needsConvertToTspans?0:\"0.75em\"})).each((function(t){var o=this,s=i.select(o),l=t.wrappingNeeded?P:z;t.needsConvertToTspans?c.convertToTspans(s,a,l(r,o,e,a,t)):i.select(o.parentNode).attr(\"transform\",(function(t){return h(O(t),n.cellPad)})).attr(\"text-anchor\",(function(t){return {left:\"start\",center:\"middle\",right:\"end\"}[t.align]}));}));}function T(t){return  -1!==t.indexOf(n.wrapSplitCharacter)}function k(t,e,r){if(a.isArrayOrTypedArray(t)){var n=t[Math.min(e,t.length-1)];return a.isArrayOrTypedArray(n)?n[Math.min(r,n.length-1)]:n}return t}function A(t,e,r){t.transition().ease(n.releaseTransitionEase).duration(n.releaseTransitionDuration).attr(\"transform\",h(e.x,r));}function M(t){return \"cells\"===t.type}function S(t){return \"header\"===t.type}function E(t){return (t.rowBlocks.length?t.rowBlocks[0].auxiliaryBlocks:[]).reduce((function(t,e){return t+F(e,1/0)}),0)}function C(t,e,r){var n=x(e)[0];if(void 0!==n){var i=n.rowBlocks,a=n.calcdata,o=R(i,i.length),s=n.calcdata.groupHeight-E(n),l=a.scrollY=Math.max(0,Math.min(o-s,a.scrollY)),c=function(t,e,r){for(var n=[],i=0,a=0;a<t.length;a++){for(var o=t[a],s=o.rows,l=0,c=0;c<s.length;c++)l+=s[c].rowHeight;o.allRowsHeight=l,e<i+l&&e+r>i&&n.push(a),i+=l;}return n}(i,l,s);1===c.length&&(c[0]===i.length-1?c.unshift(c[0]-1):c.push(c[0]+1)),c[0]%2&&c.reverse(),e.each((function(t,e){t.page=c[e],t.scrollY=l;})),e.attr(\"transform\",(function(t){var e=R(t.rowBlocks,t.page)-t.scrollY;return h(0,e)})),t&&(I(t,r,e,c,n.prevPages,n,0),I(t,r,e,c,n.prevPages,n,1),_(r,t));}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),c=r||s.scrollbarState.dragMultiplier,u=s.scrollY;s.scrollY=void 0===a?s.scrollY+c*i.event.dy:a;var h=l.selectAll(\".\"+n.cn.yColumn).selectAll(\".\"+n.cn.columnBlock).filter(M);return C(t,h,l),s.scrollY===u}}function I(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));b(t,e,a,r),i[o]=n[o];})));}function P(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll(\"tspan.line\").each((function(t,r){e[r].width=this.getComputedTextLength();}));var r,i,a=e[e.length-1].width,s=e.slice(0,-1),l=[],c=0,u=t.column.columnWidth-2*n.cellPad;for(t.value=\"\";s.length;)c+(i=(r=s.shift()).width+a)>u&&(t.value+=l.join(n.wrapSpacer)+n.lineBreaker,l=[],c=0),l.push(r.text),c+=i;c&&(t.value+=l.join(n.wrapSpacer)),t.wrapped=true;})),o.selectAll(\"tspan.line\").remove(),w(o.select(\".\"+n.cn.cellText),r,t,a),i.select(e.parentNode.parentNode).call(D);}}function z(t,e,r,a,o){return function(){if(!o.settledY){var s=i.select(e.parentNode),l=N(o),c=o.key-l.firstRowIndex,u=l.rows[c].rowHeight,f=o.cellHeightMayIncrease?e.parentNode.getBoundingClientRect().height+2*n.cellPad:u,p=Math.max(f,u);p-l.rows[c].rowHeight&&(l.rows[c].rowHeight=p,t.selectAll(\".\"+n.cn.columnCell).call(D),C(null,t.filter(M),0),_(r,a,true)),s.attr(\"transform\",(function(){var t=this,e=t.parentNode.getBoundingClientRect(),r=i.select(t.parentNode).select(\".\"+n.cn.cellRect).node().getBoundingClientRect(),a=t.transform.baseVal.consolidate(),s=r.top-e.top+(a?a.matrix.f:n.cellPad);return h(O(o,i.select(t.parentNode).select(\".\"+n.cn.cellTextHolder).node().getBoundingClientRect().width),s)})),o.settledY=true;}}}function O(t,e){switch(t.align){case \"left\":default:return n.cellPad;case \"right\":return t.column.columnWidth-(e||0)-n.cellPad;case \"center\":return (t.column.columnWidth-(e||0))/2}}function D(t){t.attr(\"transform\",(function(t){var e=t.rowBlocks[0].auxiliaryBlocks.reduce((function(t,e){return t+F(e,1/0)}),0),r=F(N(t),t.key);return h(0,r+e)})).selectAll(\".\"+n.cn.cellRect).attr(\"height\",(function(t){return (e=N(t),r=t.key,e.rows[r-e.firstRowIndex]).rowHeight;var e,r;}));}function R(t,e){for(var r=0,n=e-1;n>=0;n--)r+=B(t[n]);return r}function F(t,e){for(var r=0,n=0;n<t.rows.length&&t.rows[n].rowIndex<e;n++)r+=t.rows[n].rowHeight;return r}function B(t){var e=t.allRowsHeight;if(void 0!==e)return e;for(var r=0,n=0;n<t.rows.length;n++)r+=t.rows[n].rowHeight;return t.allRowsHeight=r,r}function N(t){return t.rowBlocks[t.page]}t.exports=function(t,e){var r=!t._context.staticPlot,a=t._fullLayout._paper.selectAll(\".\"+n.cn.table).data(e.map((function(e){var r=s.unwrap(e).trace;return 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d={mode:a.waterfallmode,norm:a.waterfallnorm,gap:a.waterfallgap,groupgap:a.waterfallgroupgap};for(n(t,l,c,h,d),n(t,c,l,f,d),i=0;i<u.length;i++){r=u[i];for(var m=0;m<r.length;m++){var g=r[m];false===g.isSum&&(g.s0+=0===m?0:r[m-1].s),m+1<r.length&&(r[m].nextP0=r[m+1].p0,r[m].nextS0=r[m+1].s0);}}};},67199:function(t,e,r){var n=r(34809),i=r(36301),a=r(17550).handleText,o=r(99867),s=r(99669),l=r(37832),c=r(78766),u=r(20909),h=u.INCREASING.COLOR,f=u.DECREASING.COLOR;function p(t,e,r){t(e+\".marker.color\",r),t(e+\".marker.line.color\",c.defaultLine),t(e+\".marker.line.width\");}t.exports={supplyDefaults:function(t,e,r,i){function c(r,i){return n.coerce(t,e,l,r,i)}if(o(t,e,i,c)){s(t,e,i,c),c(\"xhoverformat\"),c(\"yhoverformat\"),c(\"measure\"),c(\"orientation\",e.x&&!e.y?\"h\":\"v\"),c(\"base\"),c(\"offset\"),c(\"width\"),c(\"text\"),c(\"hovertext\"),c(\"hovertemplate\");var 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n=r(29714).hoverLabelText,i=r(78766).opacity,a=r(91664).hoverOnBars,o=r(20909),s=o.INCREASING.SYMBOL,l=o.DECREASING.SYMBOL;t.exports=function(t,e,r,o,c){var u=a(t,e,r,o,c);if(u){var h=u.cd,f=h[0].trace,p=\"h\"===f.orientation,d=p?\"x\":\"y\",m=p?t.xa:t.ya,g=h[u.index],y=g.isSum?g.b+g.s:g.rawS;u.initial=g.b+g.s-y,u.delta=y,u.final=u.initial+u.delta;var v=k(Math.abs(u.delta));u.deltaLabel=y<0?\"(\"+v+\")\":v,u.finalLabel=k(u.final),u.initialLabel=k(u.initial);var x=g.hi||f.hoverinfo,_=[];if(x&&\"none\"!==x&&\"skip\"!==x){var b=\"all\"===x,w=x.split(\"+\"),T=function(t){return b||-1!==w.indexOf(t)};g.isSum||(!T(\"final\")||T(p?\"x\":\"y\")||_.push(u.finalLabel),T(\"delta\")&&(y<0?_.push(u.deltaLabel+\" \"+l):_.push(u.deltaLabel+\" \"+s)),T(\"initial\")&&_.push(\"Initial: \"+u.initialLabel));}return _.length&&(u.extraText=_.join(\"<br>\")),u.color=function(t,e){var r=t[e.dir].marker,n=r.color,a=r.line.color,o=r.line.width;return i(n)?n:i(a)&&o?a:void 0}(f,g),[u]}function k(t){return 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i=0|t.words[0],a=0|e.words[0],o=i*a,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var c=1;c<n;c++){for(var u=l>>>26,h=67108863&l,f=Math.min(c,e.length-1),p=Math.max(0,c-t.length+1);p<=f;p++){var d=c-p|0;u+=(o=(i=0|t.words[d])*(a=0|e.words[p])+h)/67108864|0,h=67108863&o;}r.words[c]=0|h,l=0|u;}return 0!==l?r.words[c]=0|l:r.length--,r.strip()}a.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||\"hex\"===t){r=\"\";for(var i=0,a=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<i|a)).toString(16);r=0!=(a=s>>>24-i&16777215)||o!==this.length-1?u[6-l.length]+l+r:l+r,(i+=2)>=26&&(i-=26,o--);}for(0!==a&&(r=a.toString(16)+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}if(t===(0|t)&&t>=2&&t<=36){var c=h[t],p=f[t];r=\"\";var d=this.clone();for(d.negative=0;!d.isZero();){var m=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?m+r:u[c-m.length]+m+r;}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(false,\"Base should be between 2 and 36\");},a.prototype.toNumber=function(){var t=this.words[0];return 2===this.length?t+=67108864*this.words[1]:3===this.length&&1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length>2&&n(false,\"Number can only safely store up to 53 bits\"),0!==this.negative?-t:t},a.prototype.toJSON=function(){return this.toString(16)},a.prototype.toBuffer=function(t,e){return n(void 0!==o),this.toArrayLike(o,t,e)},a.prototype.toArray=function(t,e){return this.toArrayLike(Array,t,e)},a.prototype.toArrayLike=function(t,e,r){var i=this.byteLength(),a=r||Math.max(1,i);n(i<=a,\"byte array longer than desired length\"),n(a>0,\"Requested array length <= 0\"),this.strip();var o,s,l=\"le\"===e,c=new t(a),u=this.clone();if(l){for(s=0;!u.isZero();s++)o=u.andln(255),u.iushrn(8),c[s]=o;for(;s<a;s++)c[s]=0;}else {for(s=0;s<a-i;s++)c[s]=0;for(s=0;!u.isZero();s++)o=u.andln(255),u.iushrn(8),c[a-s-1]=o;}return 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this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],y=8191&g,v=g>>>13,x=0|o[3],_=8191&x,b=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],C=8191&E,L=E>>>13,I=0|o[7],P=8191&I,z=I>>>13,O=0|o[8],D=8191&O,R=O>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Z=0|s[2],W=8191&Z,Y=Z>>>13,X=0|s[3],$=8191&X,J=X>>>13,K=0|s[4],Q=8191&K,tt=K>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(h,U))|0)+((8191&(i=(i=Math.imul(h,V))+Math.imul(f,U)|0))<<13)|0;c=((a=Math.imul(f,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var yt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(i=(i=i+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((a=a+Math.imul(f,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(v,U)|0,a=Math.imul(v,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0;var vt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(i=(i=i+Math.imul(h,Y)|0)+Math.imul(f,W)|0))<<13)|0;c=((a=a+Math.imul(f,Y)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(_,U),i=(i=Math.imul(_,V))+Math.imul(b,U)|0,a=Math.imul(b,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,Y)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,Y)|0;var xt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(i=(i=i+Math.imul(h,J)|0)+Math.imul(f,$)|0))<<13)|0;c=((a=a+Math.imul(f,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(_,H)|0,i=(i=i+Math.imul(_,G)|0)+Math.imul(b,H)|0,a=a+Math.imul(b,G)|0,n=n+Math.imul(y,W)|0,i=(i=i+Math.imul(y,Y)|0)+Math.imul(v,W)|0,a=a+Math.imul(v,Y)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,J)|0;var _t=(c+(n=n+Math.imul(h,Q)|0)|0)+((8191&(i=(i=i+Math.imul(h,tt)|0)+Math.imul(f,Q)|0))<<13)|0;c=((a=a+Math.imul(f,tt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(_,W)|0,i=(i=i+Math.imul(_,Y)|0)+Math.imul(b,W)|0,a=a+Math.imul(b,Y)|0,n=n+Math.imul(y,$)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(v,$)|0,a=a+Math.imul(v,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0;var bt=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(i=(i=i+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((a=a+Math.imul(f,nt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(C,U),i=(i=Math.imul(C,V))+Math.imul(L,U)|0,a=Math.imul(L,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,Y)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,Y)|0,n=n+Math.imul(_,$)|0,i=(i=i+Math.imul(_,J)|0)+Math.imul(b,$)|0,a=a+Math.imul(b,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(h,at)|0)|0)+((8191&(i=(i=i+Math.imul(h,ot)|0)+Math.imul(f,at)|0))<<13)|0;c=((a=a+Math.imul(f,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(P,U),i=(i=Math.imul(P,V))+Math.imul(z,U)|0,a=Math.imul(z,V),n=n+Math.imul(C,H)|0,i=(i=i+Math.imul(C,G)|0)+Math.imul(L,H)|0,a=a+Math.imul(L,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,Y)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,Y)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(_,Q)|0,i=(i=i+Math.imul(_,tt)|0)+Math.imul(b,Q)|0,a=a+Math.imul(b,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(i=(i=i+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((a=a+Math.imul(f,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(P,H)|0,i=(i=i+Math.imul(P,G)|0)+Math.imul(z,H)|0,a=a+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,i=(i=i+Math.imul(C,Y)|0)+Math.imul(L,W)|0,a=a+Math.imul(L,Y)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(_,rt)|0,i=(i=i+Math.imul(_,nt)|0)+Math.imul(b,rt)|0,a=a+Math.imul(b,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(i=(i=i+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((a=a+Math.imul(f,ft)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(P,W)|0,i=(i=i+Math.imul(P,Y)|0)+Math.imul(z,W)|0,a=a+Math.imul(z,Y)|0,n=n+Math.imul(C,$)|0,i=(i=i+Math.imul(C,J)|0)+Math.imul(L,$)|0,a=a+Math.imul(L,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(_,at)|0,i=(i=i+Math.imul(_,ot)|0)+Math.imul(b,at)|0,a=a+Math.imul(b,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ct)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ct)|0,n=n+Math.imul(d,ht)|0,i=(i=i+Math.imul(d,ft)|0)+Math.imul(m,ht)|0,a=a+Math.imul(m,ft)|0;var At=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(i=(i=i+Math.imul(h,mt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((a=a+Math.imul(f,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,Y)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,Y)|0,n=n+Math.imul(P,$)|0,i=(i=i+Math.imul(P,J)|0)+Math.imul(z,$)|0,a=a+Math.imul(z,J)|0,n=n+Math.imul(C,Q)|0,i=(i=i+Math.imul(C,tt)|0)+Math.imul(L,Q)|0,a=a+Math.imul(L,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(_,lt)|0,i=(i=i+Math.imul(_,ct)|0)+Math.imul(b,lt)|0,a=a+Math.imul(b,ct)|0,n=n+Math.imul(y,ht)|0,i=(i=i+Math.imul(y,ft)|0)+Math.imul(v,ht)|0,a=a+Math.imul(v,ft)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,Y))+Math.imul(N,W)|0,a=Math.imul(N,Y),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,J)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(P,Q)|0,i=(i=i+Math.imul(P,tt)|0)+Math.imul(z,Q)|0,a=a+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,i=(i=i+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,a=a+Math.imul(L,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(_,ht)|0,i=(i=i+Math.imul(_,ft)|0)+Math.imul(b,ht)|0,a=a+Math.imul(b,ft)|0;var St=(c+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,mt)|0)+Math.imul(v,dt)|0))<<13)|0;c=((a=a+Math.imul(v,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,J))+Math.imul(N,$)|0,a=Math.imul(N,J),n=n+Math.imul(D,Q)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(P,rt)|0,i=(i=i+Math.imul(P,nt)|0)+Math.imul(z,rt)|0,a=a+Math.imul(z,nt)|0,n=n+Math.imul(C,at)|0,i=(i=i+Math.imul(C,ot)|0)+Math.imul(L,at)|0,a=a+Math.imul(L,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ht)|0,i=(i=i+Math.imul(T,ft)|0)+Math.imul(k,ht)|0,a=a+Math.imul(k,ft)|0;var Et=(c+(n=n+Math.imul(_,dt)|0)|0)+((8191&(i=(i=i+Math.imul(_,mt)|0)+Math.imul(b,dt)|0))<<13)|0;c=((a=a+Math.imul(b,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(P,at)|0,i=(i=i+Math.imul(P,ot)|0)+Math.imul(z,at)|0,a=a+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,i=(i=i+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,a=a+Math.imul(L,ct)|0,n=n+Math.imul(M,ht)|0,i=(i=i+Math.imul(M,ft)|0)+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(P,lt)|0,i=(i=i+Math.imul(P,ct)|0)+Math.imul(z,lt)|0,a=a+Math.imul(z,ct)|0,n=n+Math.imul(C,ht)|0,i=(i=i+Math.imul(C,ft)|0)+Math.imul(L,ht)|0,a=a+Math.imul(L,ft)|0;var Lt=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(P,ht)|0,i=(i=i+Math.imul(P,ft)|0)+Math.imul(z,ht)|0,a=a+Math.imul(z,ft)|0;var It=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(i=(i=i+Math.imul(C,mt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((a=a+Math.imul(L,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,i=(i=i+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,a=a+Math.imul(R,ft)|0;var Pt=(c+(n=n+Math.imul(P,dt)|0)|0)+((8191&(i=(i=i+Math.imul(P,mt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((a=a+Math.imul(z,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,ht),i=(i=Math.imul(B,ft))+Math.imul(N,ht)|0,a=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=gt,l[1]=yt,l[2]=vt,l[3]=xt,l[4]=_t,l[5]=bt,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=It,l[16]=Pt,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return (new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e;}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),i+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863;}r.words[a]=s,n=o,o=i;}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]];},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],y=n[u+p+o],v=h*g-f*y;y=h*y+f*g,g=v,r[u+p]=d+g,n[u+p]=m+y,r[u+p+o]=d-g,n[u+p+o]=m-y,p!==s&&(v=l*h-c*f,f=l*f+c*h,h=v);}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i;}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0;}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a));},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,h,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d;}return this.conjugate(s,l,n),this.transform(s,l,f,a,n,i),this.conjugate(f,a,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a;}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i;}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r;}o&&(this.words[e]=o,this.length++);}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i;}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o;}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var h=0|this.words[c];this.words[c]=u<<26-a|h>>>a,u=h&s;}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return !(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i;}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a;}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0;}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f);}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s;},a.prototype.div=function(t){return this.divmod(t,\"div\",false).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",false).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",true).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t;}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o));}return {a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o));}return (i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a;}else if(0===i||0===r.cmpn(1))break;e.isub(r);}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s;}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return  -1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else {r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1;}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return  -1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return  -1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return  -1===this.cmpn(t)},a.prototype.lt=function(t){return  -1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function v(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp();}function x(){v.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\");}function _(){v.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\");}function b(){v.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\");}function w(){v.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\");}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e;}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null;}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv);}v.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},v.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength();}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},v.prototype.split=function(t,e){t.iushrn(this.n,0,e);},v.prototype.imulK=function(t){return t.imul(this.k)},i(x,v),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o;}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9;},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0);}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(_,v),i(b,v),i(w,v),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n;}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new _;else if(\"p192\"===t)e=new b;else {if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w;}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\");},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\");},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var h=this.pow(u,i),f=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var y=this.pow(h,new a(1).iushln(d-g-1));f=f.redMul(y),h=y.redSqr(),p=p.redMul(h),d=g;}return f},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var 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e(s._color,s.key,s.value,o[l+1],s.right,s._count):o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var c=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var u=o[c-1];for(o.push(new e(s._color,u.key,u.value,s.left,s.right,s._count)),o[c-1].key=s.key,o[c-1].value=s.value,l=o.length-2;l>=c;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[c-1].left=o[c];}if(0===(s=o[o.length-1])._color){var h=o[o.length-2];for(h.left===s?h.left=null:h.right===s&&(h.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?f(s,s.left):s.right&&f(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((c=t[l-2]).left===a?c.left=o:c.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((c=t[l-2]).left===a?c.left=s:c.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((c=t[l-2]).left===a?c.left=o:c.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2;}else {if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((c=t[l-2]).right===a?c.right=o:c.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((c=t[l-2]).right===a?c.right=s:c.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var c;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((c=t[l-2]).right===a?c.right=o:c.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2;}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(h,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:true}),Object.defineProperty(h,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:true}),Object.defineProperty(h,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:true}),h.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop();}},Object.defineProperty(h,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return  false;if(t[t.length-1].right)return  true;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return  true;return  false}}),h.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},h.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop();}},Object.defineProperty(h,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return  false;if(t[t.length-1].left)return  true;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return  true;return  false}});},3837:function(t,e,r){t.exports=function(t,e){var r=new p(t);return r.update(e),r};var n=r(4935),i=r(501),a=r(5304),o=r(6429),s=r(6444),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=ArrayBuffer,u=DataView;function h(t){return Array.isArray(t)||function(t){return c.isView(t)&&!(t instanceof u)}(t)}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=true,this.tickSpacing=[1,1,1],this.tickEnable=[true,true,true],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[true,true,true],this.labelFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[true,true,true],this.lineMirror=[false,false,false],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[true,true,true],this.lineTickMirror=[false,false,false],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[true,true,true],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[true,true,true],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[false,false,false],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=true,this._text=null,this._lines=null,this._background=a(t);}var d=p.prototype;function m(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0];}d.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?h(a)&&h(a[0]):h(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return  true}return  false}t=t||{};var r,a=e.bind(this,false,Number),o=e.bind(this,false,Boolean),l=e.bind(this,false,String),c=e.bind(this,true,(function(t){if(h(t)){if(3===t.length)return [+t[0],+t[1],+t[2],1];if(4===t.length)return [+t[0],+t[1],+t[2],+t[3]]}return [0,0,0,1]})),u=false,f=false;if(\"bounds\"in t)for(var p=t.bounds,d=0;d<2;++d)for(var m=0;m<3;++m)p[d][m]!==this.bounds[d][m]&&(f=true),this.bounds[d][m]=p[d][m];if(\"ticks\"in t)for(r=t.ticks,u=true,this.autoTicks=false,d=0;d<3;++d)this.tickSpacing[d]=0;else a(\"tickSpacing\")&&(this.autoTicks=true,f=true);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=true),f=true,u=true,this._firstInit=false),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=true),u){for(d=0;d<3;++d)r[d].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=false:this.ticks=r;}o(\"tickEnable\"),l(\"tickFont\")&&(u=true),l(\"tickFontStyle\")&&(u=true),l(\"tickFontWeight\")&&(u=true),l(\"tickFontVariant\")&&(u=true),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=true),l(\"labelFontStyle\")&&(g=true),l(\"labelFontWeight\")&&(g=true),l(\"labelFontVariant\")&&(g=true),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\");var y=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],v=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,y,this.ticks,v):this._text=n(this.gl,this.bounds,this.labels,y,this.ticks,v),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks));};var g=[new m,new m,new m];function y(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=a,f=s,p=o,d=l;c&1<<u&&(h=s,f=a,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1);}}var v=[0,0,0],x={model:l,view:l,projection:l,_ortho:false};d.isOpaque=function(){return  true},d.isTransparent=function(){return  false},d.drawTransparent=function(t){};var _=[0,0,0],b=[0,0,0],w=[0,0,0];d.draw=function(t){t=t||x;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||false,c=o(r,n,i,a,s),u=c.cubeEdges,h=c.axis,p=n[12],d=n[13],m=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*p+i[7]*d+i[11]*m+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=u[A],this.lastCubeProps.axis[A]=h[A];var M=g;for(A=0;A<3;++A)y(g[A],A,this.bounds,u,h);e=this.gl;var S,E,C,L=v;for(A=0;A<3;++A)this.backgroundEnable[A]?L[A]=h[A]:L[A]=0;for(this._background.draw(r,n,i,a,L,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var I=[0,0,0];h[A]>0?I[A]=a[1][A]:I[A]=a[0][A];for(var P=0;P<2;++P){var z=(A+1+P)%3,O=(A+1+(1^P))%3;this.gridEnable[z]&&this._lines.drawGrid(z,O,this.bounds,I,this.gridColor[z],this.gridWidth[z]*this.pixelRatio);}for(P=0;P<2;++P)z=(A+1+P)%3,O=(A+1+(1^P))%3,this.zeroEnable[O]&&Math.min(a[0][O],a[1][O])<=0&&Math.max(a[0][O],a[1][O])>=0&&this._lines.drawZero(z,O,this.bounds,I,this.zeroLineColor[O],this.zeroLineWidth[O]*this.pixelRatio);}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var D=f(_,M[A].primalMinor),R=f(b,M[A].mirrorMinor),F=this.lineTickLength;for(P=0;P<3;++P){var B=k/r[5*P];D[P]*=F[P]*B,R[P]*=F[P]*B;}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,D,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio);}function N(t){(C=[0,0,0])[t]=1;}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i);}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=f(w,M[A].primalOffset);for(P=0;P<3;++P)this.lineTickEnable[A]&&(q[P]+=k*U[P]*Math.max(this.lineTickLength[P],0)/r[5*P]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),C=[0,0,0],j(A,U,V),P=0;P<3;++P)q[P]+=k*U[P]*this.tickPad[P]/r[5*P];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,C,S);}if(this.labelEnable[A]){for(E=0,C=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),P=0;P<3;++P)q[P]+=k*U[P]*this.labelPad[P]/r[5*P];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],C,S);}}this._text.unbind();},d.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null;};},5304:function(t,e,r){t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var m=-1;m<=1;m+=2)h[u]=m,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1;}var g=c;c=u,u=g;}var y=n(t,new Float32Array(e)),v=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],v),_=a(t);return _.attributes.position.location=0,_.attributes.normal.location=1,new o(t,y,x,_)};var n=r(2762),i=r(8116),a=r(1879).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n;}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=false,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL);}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose();};},6429:function(t,e,r){t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var v=0,x=0;x<2;++x){u[2]=a[x][2];for(var _=0;_<2;++_){u[1]=a[_][1];for(var b=0;b<2;++b)u[0]=a[b][0],f(l[v],u,s),v+=1;}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x);}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,C=-1,L=0;L<2;++L){var I=(z=L<<A)+(L<<M)+(1-L<<S),P=z+(1-L<<M)+(L<<S);o(c[z],c[I],c[P],h)<0||(L?E=1:C=1);}if(E<0||C<0)C>E&&(w|=1<<A);else {for(L=0;L<2;++L){I=(z=L<<A)+(L<<M)+(1-L<<S),P=z+(1-L<<M)+(L<<S);var z,O=d([l[z],l[I],l[P],l[z+(1<<M)+(1<<S)]]);L?E=O:C=O;}C>E&&(w|=1<<A);}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==D&&(F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==D&&N!==F&&(B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N));}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(8828),i=r(6760),a=r(5202),o=r(3250),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n];}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1];}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,h=l[0]/l[3]-n,f=l[1]/l[3]-i;o+=Math.abs(c*f-u*h);}return o}var m=[1,1,1],g=[0,0,0],y={cubeEdges:m,axis:g};},501:function(t,e,r){t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var m=+r[h][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1);}var g=o.length/3|0;s[h]=f,l[h]=g-f,f=o.length/3|0;for(var y=0;y<r[h].length;++y)m=+r[h][y].x,o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1);g=o.length/3|0,c[h]=f,u[h]=g-f;}var v=n(t,new Float32Array(o)),x=i(t,[{buffer:v,type:t.FLOAT,size:3,stride:0,offset:0}]),_=a(t);return _.attributes.position.location=0,new p(t,v,x,_,l,s,u,c)};var n=r(2762),i=r(8116),a=r(1879).n,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s;}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind();},d.unbind=function(){this.vao.unbind();},d.drawAxisLine=function(t,e,r,n,i){var a=h(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6);},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=h(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]);}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=h(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t]);}},d.drawZero=function(t,e,r,n,i,a){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6);},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose();};},1879:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.n=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\\n\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.Q=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * (view * (model * vec4(nPosition, 1.0)));\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\\n\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])};},4935:function(t,e,r){t.exports=function(t,e,r,i,o,l){var c=n(t),h=a(t,[{buffer:c,size:3}]),f=s(t);f.attributes.position.location=0;var p=new u(t,f,c,h);return p.update(e,r,i,o,l),p};var n=r(2762),a=r(8116),o=r(4359),s=r(1879).Q,l=window||i.global||{},c=l.__TEXT_CACHE||{};function u(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null;}l.__TEXT_CACHE={};var h=u.prototype,f=[0,0];h.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f;},h.unbind=function(){this.vao.unbind();},h.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=[r.style,r.weight,r.variant,r.family].join(\"_\"),u=c[l];u||(u=c[l]={});var h=u[e];h||(h=u[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:true,font:r.family,fontStyle:r.style,fontWeight:r.weight,fontVariant:r.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,p=h.positions,d=h.cells,m=0,g=d.length;m<g;++m)for(var y=d[m],v=2;v>=0;--v){var x=p[y[v]];a.push(f*x[0],-f*x[1],t);}}for(var l=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:true,bolds:true,italics:true,subscripts:true,superscripts:true},d=0;d<3;++d){h[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(a.length/3|0)-h[d],l[d]=a.length/3|0;for(var m=0;m<n[d].length;++m)if(n[d][m].text){var g={family:n[d][m].font||i[d].family,style:i[d].fontStyle||i[d].style,weight:i[d].fontWeight||i[d].weight,variant:i[d].fontVariant||i[d].variant};s(n[d][m].x,n[d][m].text,g,n[d][m].fontSize||12,1.25,p);}u[d]=(a.length/3|0)-l[d];}this.buffer.update(a),this.tickOffset=l,this.tickCount=u,this.labelOffset=h,this.labelCount=f;},h.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]));},h.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]));},h.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose();};},6444:function(t,e){function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var h=\"\"+c;h.length<i;)h=\"0\"+h;return u+\".\"+h}return u}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a);}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return  false;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return  false}}return  true};},5445:function(t,e,r){t.exports=function(t,e,r,l,h){var f=e.model||c,p=e.view||c,y=e.projection||c,v=e._ortho||false,x=t.bounds,_=(h=h||a(f,p,y,x,v)).axis;o(u,p,f),o(u,y,u);for(var b=m,w=0;w<3;++w)b[w].lo=1/0,b[w].hi=-1/0,b[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(_[k]<0!=!!w){S[k]=x[w][k];for(var C=0;C<2;++C){S[A]=x[C^w][A];for(var L=0;L<2;++L)S[M]=x[L^C^w][M],E.push(S.slice());}var I=v?5:4;for(C=I;C===I;++C){if(0===E.length)continue t;E=i.positive(E,T[C]);}for(C=0;C<E.length;++C){M=E[C];var P=d(g,u,M,r,l);for(L=0;L<3;++L)b[L].lo=Math.min(b[L].lo,M[L]),b[L].hi=Math.max(b[L].hi,M[L]),L!==k&&(b[L].pixelsPerDataUnit=Math.min(b[L].pixelsPerDataUnit,Math.abs(P[L])));}}}}return b};var n=r(5033),i=r(5202),a=r(6429),o=r(6760),s=r(5665),l=r(5352),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r;}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+h*h);}return t}var m=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],g=[0,0,0];},2762:function(t,e,r){var n=r(1888),i=r(5298),a=r(9618),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i;}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle);},l.unbind=function(){this.gl.bindBuffer(this.type,null);},l.dispose=function(){this.gl.deleteBuffer(this.handle);},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return  false;r*=t[n];}return  true}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else {var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s);}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h);}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else {if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t;}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a};},6405:function(t,e,r){var n=r(2931);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,m=[],g=1/0,y=false,v=\"raw\"===t.coneSizemode,x=0;x<r.length;x++){var _=r[x];s=Math.min(_[0],s),l=Math.max(_[0],l),c=Math.min(_[1],c),u=Math.max(_[1],u),h=Math.min(_[2],h),f=Math.max(_[2],f);var b=i[x];if(n.length(b)>o&&(o=n.length(b)),x&&!v){var w=2*n.distance(p,_)/(n.length(d)+n.length(b));w?(g=Math.min(g,w),y=false):y=true;}y||(p=_,d=b),m.push(b);}var T=[s,c,h],k=[l,u,f];e&&(e[0]=T,e[1]=k),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||(v?1:.5);t.absoluteConeSize&&(M=t.absoluteConeSize*A),a.coneScale=M,x=0;for(var S=0;x<r.length;x++)for(var E=(_=r[x])[0],C=_[1],L=_[2],I=m[x],P=n.length(I)*A,z=0;z<8;z++){a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1]);}return a};var i=r(614);t.exports.createMesh=r(9060),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})};},9060:function(t,e,r){var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(6760),l=r(7608),c=r(9618),u=r(6729),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=true,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1];}var p=f.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t;},p.update=function(t){t=t||{};var e=this.gl;this.dirty=true,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3];}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=i;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),m=Math.max(m,y);}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),m=Math.max(m,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var v=n[g],x=0;x<3;++x)!isNaN(v[x])&&isFinite(v[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],v[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],v[x]));var _=0;t:for(g=0;g<r.length;++g){var b=r[g];if(3===b.length){for(x=0;x<3;++x){v=n[T=b[x]];for(var w=0;w<3;++w)if(isNaN(v[w])||!isFinite(v[w]))continue t}for(x=0;x<3;++x){var T;v=n[T=b[2-x]],a.push(v[0],v[1],v[2],v[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=f;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(m-d),0]:[(v[2]-d)/(m-d),0],l.push(A[0],A[1]),h.push(g);}_+=1;}}this.triangleCount=_,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h));}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,i=t.projection||h,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:h.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);for(s(u,c.view,c.model),s(u,c.projection,u),l(u,u),o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f;}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind();}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,i=t.projection||h,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return \"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose();},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),u=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),h=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));h.generateMipmap(),h.minFilter=t.LINEAR_MIPMAP_LINEAR,h.magFilter=t.LINEAR;var p=i(t),d=i(t),m=i(t),g=i(t),y=i(t),v=new f(t,h,l,u,p,d,y,m,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:true},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return v.update(e),v};},614:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * (view * conePosition);\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]};},737:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"};},5171:function(t,e,r){var n=r(737);t.exports=function(t){return n[t]};},9165:function(t,e,r){t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=r(2762),i=r(8116),a=r(3436),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=false;}var l=s.prototype;function c(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r]);}l.isOpaque=function(){return !this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind();};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a);}t[e]=r;}return t}();function h(t,e,r,n){for(var i=u[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2]);}return i.length}l.update=function(t){\"lineWidth\"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=false,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=true));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var u=r[l],f=0;f<3;++f)if(isNaN(u[f])||!isFinite(u[f]))continue t;var p,d=n[l],m=e[s];if(Array.isArray(m[0])&&(m=e[l]),3===m.length?m=[m[0],m[1],m[2],1]:4===m.length&&(m=[m[0],m[1],m[2],m[3]],!this.hasAlpha&&m[3]<1&&(this.hasAlpha=true)),!isNaN(d[0][s])&&!isNaN(d[1][s]))d[0][s]<0&&((p=u.slice())[s]+=d[0][s],i.push(u[0],u[1],u[2],m[0],m[1],m[2],m[3],0,0,0,p[0],p[1],p[2],m[0],m[1],m[2],m[3],0,0,0),c(this.bounds,p),o+=2+h(i,p,m,s)),d[1][s]>0&&((p=u.slice())[s]+=d[1][s],i.push(u[0],u[1],u[2],m[0],m[1],m[2],m[3],0,0,0,p[0],p[1],p[2],m[0],m[1],m[2],m[3],0,0,0),c(this.bounds,p),o+=2+h(i,p,m,s));}this.lineCount[s]=o-this.lineOffset[s];}this.buffer.update(i);}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose();};},3436:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * (view * worldPosition);\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])};},2260:function(t,e,r){var n=r(7766);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i;}}(t,c),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var h=1;if(\"color\"in(n=n||{})){if((h=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(h>1){if(!c)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(h>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+h+\" draw buffers\")}}var f=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&h>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");f=t.FLOAT;}else n.preferFloat&&h>0&&p&&(f=t.FLOAT);var m=true;\"depth\"in n&&(m=!!n.depth);var g=false;return \"stencil\"in n&&(g=!!n.stencil),new d(t,e,r,f,h,m,g,c)};var i,a,o,s,l=null;function c(t){return [t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2]);}function h(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function f(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=false,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=f(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var v=r.getExtension(\"WEBGL_depth_texture\");v?d?t.depth=f(r,i,a,v.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=f(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=true,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x);}u(r,e);}(this);}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),h(s)),u(n,a);}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:false},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:false},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:false}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1]);}},m.dispose=function(){if(!this._destroyed){this._destroyed=true;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null);}};},2992:function(t,e,r){var n=r(3387).sprintf,i=r(5171),a=r(1848),o=r(1085);t.exports=function(t,e,r){var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var m=parseInt(d.split(\":\")[2]);if(isNaN(m))throw new Error(n(\"Could not parse error: %s\",d));f[m]=d;}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((f[p+3]||f[p+2]||f[p+1])&&(c+=g[p]+\"\\n\",f[p+1])){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y);}return {long:c.trim(),short:u.trim()}};},2510:function(t,e,r){t.exports=function(t,e){var r=t.gl,n=new c(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(2478),i=r(7762),a=r(1888),o=r(9405),s=r(2762),l=r(6768);function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0;}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(i.UNSIGNED_BYTE,false),this.colorBuffer.bind(),f.color.pointer(i.UNSIGNED_BYTE,true),i.drawArrays(i.TRIANGLES,0,n);}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,false),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,false),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return {object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=false!==t.zsmooth;this.xData=r,this.yData=o;var c,u,h,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(c=y[0]=r[0],u=y[1]=o[0],h=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(c=y[0]=r[0]+(r[1]-r[0])/2,u=y[1]=o[0]+(o[1]-o[0])/2,h=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var v=1/(h-c),x=1/(p-u),_=e[0],b=e[1];this.shape=[_,b];var w=(l?(_-1)*(b-1):_*b)*(f.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?_-1:_,C=l?b-1:b,L=0;L<C;++L){var I,P;l?(I=x*(o[L]-u),P=x*(o[L+1]-u)):(I=L<b-1?x*(o[L]-(o[L+1]-o[L])/2-u):x*(o[L]-(o[L]-o[L-1])/2-u),P=L<b-1?x*(o[L]+(o[L+1]-o[L])/2-u):x*(o[L]+(o[L]-o[L-1])/2-u));for(var z=0;z<E;++z){var O,D;l?(O=v*(r[z]-c),D=v*(r[z+1]-c)):(O=z<_-1?v*(r[z]-(r[z+1]-r[z])/2-c):v*(r[z]-(r[z]-r[z-1])/2-c),D=z<_-1?v*(r[z]+(r[z+1]-r[z])/2-c):v*(r[z]+(r[z]-r[z-1])/2-c));for(var R=0;R<f.length;R+=2){var F,B,N,j,U=f[R],V=f[R+1],q=s[l?(L+V)*_+(z+U):L*_+z],H=n.le(d,q);if(H<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(H===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else {var G=(q-d[H])/(d[H+1]-d[H]),Z=1-G,W=4*H,Y=4*(H+1);F=Z*m[W]+G*m[Y],B=Z*m[W+1]+G*m[Y+1],N=Z*m[W+2]+G*m[Y+2],j=Z*m[W+3]+G*m[Y+3];}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*O+.5*D,k[2*S+1]=.5*I+.5*P,A[2*S]=U,A[2*S+1]=V,M[S]=L*_+z,S+=1;}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M);},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this);};},6768:function(t,e,r){var n=r(3236);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])};},7319:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * (view * (model * vec4(p, 1.0)));\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)};},5714:function(t,e,r){t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new y(e,r,o,s,l,d);return m.update(t),m};var n=r(2762),i=r(8116),a=r(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(2478),c=r(9618),u=r(7319),h=u.createShader,f=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i;}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n;}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=false,this.dirty=true,this.pixelRatio=1;}var v=y.prototype;v.isTransparent=function(){return this.hasAlpha},v.isOpaque=function(){return !this.hasAlpha},v.pickSlots=1,v.setPickBase=function(t){this.pickId=t;},v.drawTransparent=v.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind();}},v.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind();}},v.update=function(t){var e,r;this.dirty=true;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=false,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=true));var i=[],a=[],o=[],s=0,u=0,h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],f=t.position||t.positions;if(f){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=false;t:for(e=1;e<f.length;++e){var y,v,x,_=f[e-1],b=f[e];for(a.push(s),o.push(_.slice()),r=0;r<3;++r){if(isNaN(_[r])||isNaN(b[r])||!isFinite(_[r])||!isFinite(b[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=true;}continue t}h[0][r]=Math.min(h[0][r],_[r],b[r]),h[1][r]=Math.max(h[1][r],_[r],b[r]);}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],v=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=v=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===v.length&&(v=[v[0],v[1],v[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=true),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(_,b),g){for(r=0;r<2;++r)i.push(_[0],_[1],_[2],b[0],b[1],b[2],T,x,y[0],y[1],y[2],y[3]);u+=2,g=false;}i.push(_[0],_[1],_[2],b[0],b[1],b[2],T,x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],T,-x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],s,-x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],s,x,v[0],v[1],v[2],v[3]),u+=4;}}if(this.buffer.update(i),a.push(s),o.push(f[f.length-1].slice()),this.bounds=h,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255);}this.texture.setPixels(A);}},v.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose();},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=0,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2]),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],h=0;h<3;++h)u[h]=c*n[h]+a*i[h];var f=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,u,f,this.points[f])};},1903:function(t){t.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e};},6864:function(t){t.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t};},9921:function(t){t.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],h=t[10],f=t[11],p=t[12],d=t[13],m=t[14],g=t[15];return (e*o-r*a)*(h*g-f*m)-(e*s-n*a)*(u*g-f*d)+(e*l-i*a)*(u*m-h*d)+(r*s-n*o)*(c*g-f*p)-(r*l-i*o)*(c*m-h*p)+(n*l-i*s)*(c*d-u*p)};},7399:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,h=n*s,f=i*o,p=i*s,d=i*l,m=a*o,g=a*s,y=a*l;return t[0]=1-h-d,t[1]=u+y,t[2]=f-g,t[3]=0,t[4]=u-y,t[5]=1-c-d,t[6]=p+m,t[7]=0,t[8]=f+g,t[9]=p-m,t[10]=1-c-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t};},6743:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,h=n*l,f=n*c,p=i*l,d=i*c,m=a*c,g=o*s,y=o*l,v=o*c;return t[0]=1-(p+m),t[1]=h+v,t[2]=f-y,t[3]=0,t[4]=h-v,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=f+y,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t};},7894:function(t){t.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t};},7608:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=e[9],f=e[10],p=e[11],d=e[12],m=e[13],g=e[14],y=e[15],v=r*s-n*o,x=r*l-i*o,_=r*c-a*o,b=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-h*d,A=u*g-f*d,M=u*y-p*d,S=h*g-f*m,E=h*y-p*m,C=f*y-p*g,L=v*C-x*E+_*S+b*M-w*A+T*k;return L?(L=1/L,t[0]=(s*C-l*E+c*S)*L,t[1]=(i*E-n*C-a*S)*L,t[2]=(m*T-g*w+y*b)*L,t[3]=(f*w-h*T-p*b)*L,t[4]=(l*M-o*C-c*A)*L,t[5]=(r*C-i*M+a*A)*L,t[6]=(g*_-d*T-y*x)*L,t[7]=(u*T-f*_+p*x)*L,t[8]=(o*E-s*M+c*k)*L,t[9]=(n*M-r*E-a*k)*L,t[10]=(d*w-m*_+y*v)*L,t[11]=(h*_-u*w-p*v)*L,t[12]=(s*A-o*S-l*k)*L,t[13]=(r*S-n*A+i*k)*L,t[14]=(m*x-d*b-g*v)*L,t[15]=(u*b-h*x+f*v)*L,t):null};},6582:function(t,e,r){var n=r(7894);t.exports=function(t,e,r,i){var a,o,s,l,c,u,h,f,p,d,m=e[0],g=e[1],y=e[2],v=i[0],x=i[1],_=i[2],b=r[0],w=r[1],T=r[2];return Math.abs(m-b)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(y-T)<1e-6?n(t):(h=m-b,f=g-w,p=y-T,a=x*(p*=d=1/Math.sqrt(h*h+f*f+p*p))-_*(f*=d),o=_*(h*=d)-v*p,s=v*f-x*h,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0),l=f*s-p*o,c=p*a-h*s,u=h*o-f*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0),t[0]=a,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=c,t[6]=f,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*y),t[13]=-(l*m+c*g+u*y),t[14]=-(h*m+f*g+p*y),t[15]=1,t)};},6760:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],m=e[12],g=e[13],y=e[14],v=e[15],x=r[0],_=r[1],b=r[2],w=r[3];return t[0]=x*n+_*s+b*h+w*m,t[1]=x*i+_*l+b*f+w*g,t[2]=x*a+_*c+b*p+w*y,t[3]=x*o+_*u+b*d+w*v,x=r[4],_=r[5],b=r[6],w=r[7],t[4]=x*n+_*s+b*h+w*m,t[5]=x*i+_*l+b*f+w*g,t[6]=x*a+_*c+b*p+w*y,t[7]=x*o+_*u+b*d+w*v,x=r[8],_=r[9],b=r[10],w=r[11],t[8]=x*n+_*s+b*h+w*m,t[9]=x*i+_*l+b*f+w*g,t[10]=x*a+_*c+b*p+w*y,t[11]=x*o+_*u+b*d+w*v,x=r[12],_=r[13],b=r[14],w=r[15],t[12]=x*n+_*s+b*h+w*m,t[13]=x*i+_*l+b*f+w*g,t[14]=x*a+_*c+b*p+w*y,t[15]=x*o+_*u+b*d+w*v,t};},4040:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t};},4772:function(t){t.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t};},6079:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S,E=n[0],C=n[1],L=n[2],I=Math.sqrt(E*E+C*C+L*L);return Math.abs(I)<1e-6?null:(E*=I=1/I,C*=I,L*=I,i=Math.sin(r),o=1-(a=Math.cos(r)),s=e[0],l=e[1],c=e[2],u=e[3],h=e[4],f=e[5],p=e[6],d=e[7],m=e[8],g=e[9],y=e[10],v=e[11],x=E*E*o+a,_=C*E*o+L*i,b=L*E*o-C*i,w=E*C*o-L*i,T=C*C*o+a,k=L*C*o+E*i,A=E*L*o+C*i,M=C*L*o-E*i,S=L*L*o+a,t[0]=s*x+h*_+m*b,t[1]=l*x+f*_+g*b,t[2]=c*x+p*_+y*b,t[3]=u*x+d*_+v*b,t[4]=s*w+h*T+m*k,t[5]=l*w+f*T+g*k,t[6]=c*w+p*T+y*k,t[7]=u*w+d*T+v*k,t[8]=s*A+h*M+m*S,t[9]=l*A+f*M+g*S,t[10]=c*A+p*M+y*S,t[11]=u*A+d*M+v*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)};},5567:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],h=e[10],f=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t};},2408:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],f=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t};},7089:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t};},2504:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t};},7656:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,c,u,h,f,p,d,m=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*m+e[4]*g+e[8]*y+e[12],t[13]=e[1]*m+e[5]*g+e[9]*y+e[13],t[14]=e[2]*m+e[6]*g+e[10]*y+e[14],t[15]=e[3]*m+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=h,t[9]=f,t[10]=p,t[11]=d,t[12]=n*m+s*g+h*y+e[12],t[13]=i*m+l*g+f*y+e[13],t[14]=a*m+c*g+p*y+e[14],t[15]=o*m+u*g+d*y+e[15]),t};},5665:function(t){t.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s;}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t};},7626:function(t,e,r){var n=r(2642),i=r(9346);function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return [.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}t.exports=function(t,e,r,a,l,c){if(1===t.length)return [0,t[0].slice()];for(var u=new Array(t.length),h=0;h<t.length;++h)u[h]=o(t[h],r,a,l,c);var f=0,p=1/0;for(h=0;h<u.length;++h){for(var d=0,m=0;m<2;++m)d+=Math.pow(u[h][m]-e[m],2);d<p&&(p=d,f=h);}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return (r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return []}(u,e),y=0;for(h=0;h<3;++h){if(g[h]<-1e-3||g[h]>1.0001)return null;y+=g[h];}return Math.abs(y-1)>.001?null:[f,s(t,g),g]};},840:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * (view * (model * vec4(p, 1.0)));\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * (view * (model * vec4(position, 1.0)));\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]};},7201:function(t,e,r){var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(8406),l=r(6760),c=r(7608),u=r(9618),h=r(6729),f=r(7765),p=r(1888),d=r(840),m=r(7626),g=d.meshShader,y=d.wireShader,v=d.pointShader,x=d.pickShader,_=d.pointPickShader,b=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=true,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=m,this.edgeVAO=v,this.edgeCount=0,this.pointPositions=x,this.pointColors=b,this.pointUVs=T,this.pointSizes=k,this.pointIds=_,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=true,this.pickVertex=true,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=false,this.opacityscale=false,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1];}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return !this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t;},k.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],m=n[h][1],g=i[h],y=1-g,v=this.positions[d],x=this.positions[m],_=0;_<3;++_)o[s++]=g*v[_]+y*x[_];}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o);}else this.contourCount=0;},k.update=function(t){t=t||{};var e=this.gl;this.dirty=true,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=false,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=true)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=true),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3];}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],f=[],p=[],d=[],m=[],g=[],y=[],v=[],x=[],_=[],b=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,I=t.vertexIntensity,P=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!P)if(I)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<I.length;++R){var F=I[R];O=Math.min(O,F),D=Math.max(D,F);}else if(z)if(t.cellIntensityBounds)O=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R)F=z[R],O=Math.min(O,F),D=Math.max(D,F);else for(R=0;R<n.length;++R)F=n[R][2],O=Math.min(O,F),D=Math.max(D,F);this.intensity=I||z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),Y=S?S[W]:E?E[R]:C,this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?v.push(Y[0],Y[1],Y[2],this.opacity):(v.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=true)),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(X[0],X[1]),B?_.push(B[W]):_.push(N),b.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[W=G[U]],p.push(j[0],j[1],j[2]),Y=S?S[W]:E?E[R]:C,this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?d.push(Y[0],Y[1],Y[2],this.opacity):(d.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=true)),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],m.push(X[0],X[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var W,Y,X,$;j=n[W=G[2-U]],i.push(j[0],j[1],j[2]),(Y=S?S[W]:E?E[R]:C)?this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?a.push(Y[0],Y[1],Y[2],this.opacity):(a.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=true)):a.push(.5,.5,.5,1),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(X[0],X[1]),$=w?w[W]:T[R],l.push($[0],$[1],$[2]),f.push(R);}V+=1;}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(v),this.pointUVs.update(x),this.pointSizes.update(_),this.pointIds.update(new Uint32Array(b)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f));}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);for(l(u,s.view,s.model),l(u,s.projection,u),c(u,u),o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f;}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind());},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return {_cellCenter:true,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return {position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose();},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),c=S(t),h=E(t),f=C(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),v=i(t),x=i(t),_=i(t),b=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:_,type:t.UNSIGNED_BYTE,size:4,normalized:true},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),L=i(t),I=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:L,type:t.UNSIGNED_BYTE,size:4,normalized:true},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),P=i(t),z=i(t),O=i(t),D=i(t),R=i(t),F=a(t,[{buffer:P,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:true},{buffer:z,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,c,h,f,d,_,m,v,x,b,w,L,k,A,I,P,R,z,O,D,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N};},8120:function(t,e,r){t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r;}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox;},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4);}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose();};},1913:function(t,e,r){t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(2762),i=r(9405),a=r(2478),o=r(3603);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]];}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],y=a[m+2]-g,v=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*y/x,c[m]=2*(g-v)/x;}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var _=0;for(m=0;m<2;++m){h[0]=h[1]=0,h[m]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=f[m];var b=6*n[m].length;p[m]&&b&&i.drawArrays(i.TRIANGLES,_,b),_+=b;}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,y=s.screenBox,v=y[2]-y[0],x=y[3]-y[1],_=m[2]-m[0],b=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M;}e[0]*=_/v,t[0]*=_/v,e[1]*=b/x,t[1]*=b/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,I=6*h[0].length,P=Math.min(a.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(a.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),O=0+6*P,D=6*Math.max(0,z-P),R=Math.min(a.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(a.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=I+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/v-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/v,o[1]=C[1]*g/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,f.drawArrays(f.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/v-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=C[0]*g/v,o[1]=E[0]*g/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,f.drawArrays(f.TRIANGLES,O,D)),i[0]=2*(m[2]+E[3])/v-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/v,o[1]=C[3]*g/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,f.drawArrays(f.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/v-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=C[2]*g/v,o[1]=E[2]*g/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,f.drawArrays(f.TRIANGLES,O,D));}}(),d.update=(f=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=f[m],n[i++]=p[m];}this.ticks=a,this.vbo.update(n);}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose();};},4747:function(t,e,r){t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r;}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox;},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4);}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose();};},3603:function(t,e,r){var n=r(3236),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])};},2142:function(t,e,r){t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(2762),i=r(9405),a=r(529),o=r(2478),s=r(3603);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0];}var c,u,h,f,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,y=e.tickAngle,v=e.labelEnable,x=e.labelPad,_=e.labelColor,b=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var M=2/f[2+(1^t)]-f[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),v[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=_[t],r.uniforms.angle=b[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),v[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=_[t+2],r.uniforms.angle=b[t+2],a.drawArrays(a.TRIANGLES,w,T));}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount);}}}(),m.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=a[o],m=a[o+2]-h,g=i[o],y=i[o+2]-g;p[o]=2*l/u*m/y,f[o]=2*(s-c)/u*m/y;}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer();}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,m=p.text,g=p.font||\"sans-serif\",y=p.fontStyle||\"normal\",v=p.fontWeight||\"normal\",x=p.fontVariant||\"normal\";i=p.fontSize||12;for(var _=1/(c[o+2]-c[o]),b=c[o],w=m.split(\"\\n\"),T=0;T<w.length;T++)for(n=a(g,w[T],{fontStyle:y,fontWeight:v,fontVariant:x}).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-T*i*1.2,(d-b)*_);u.push(Math.floor(s.length/3)),h.push(d);}this.tickOffset[o]=u,this.tickX[o]=h;}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{fontStyle:t.labelFontStyle[o],fontWeight:t.labelFontWeight[o],fontVariant:t.labelFontVariant[o],textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o];}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title,{fontStyle:t.titleFontStyle,fontWeight:t.titleFontWeight,fontVariant:t.titleFontVariant}).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s);},m.dispose=function(){this.vbo.dispose(),this.shader.dispose();};},1850:function(t,e,r){t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(3589),i=r(1913),a=r(2142),o=r(4747),s=r(8120);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[true,true],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[true,true,true,true],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[true,true,true,true],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=true,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[true,true],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[true,true,true,true],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=false,this.dirty=false,this.pickDirty=false,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0;}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=true;},c.setOverlayDirty=function(){this.dirty=true;},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=false,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=false,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(false),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT);}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],f[d]):o.drawLine(e[0],m,e[2],m,p[d],f[d]);}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,v=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],v[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],v[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],v[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],v[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(true);}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end();}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(a,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty();},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty());},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty();},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=false!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[true,true]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[true,true]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[true,true,true,true]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[true,true,true,true]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[true,true,true,true]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x));}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],labelFontStyle:t.labelFontStyle||[\"normal\",\"normal\"],labelFontWeight:t.labelFontWeight||[\"normal\",\"normal\"],labelFontVariant:t.labelFontVariant||[\"normal\",\"normal\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\",titleFontStyle:t.titleFontStyle||\"normal\",titleFontWeight:t.titleFontWeight||\"normal\",titleFontVariant:t.titleFontVariant||\"normal\"}),this.static=!!t.static,this.setDirty();},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null;},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty());},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty());},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}};},4437:function(t,e,r){t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:true,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||false,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=true,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,a?!l:(h=Math.exp(c.computedRadius[0]),true)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r);},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r);},pan:function(t,e,r){c.pan(c.lastT(),t,e,r);},translate:function(t,e,r){c.translate(c.lastT(),t,e,r);}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:true},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a);}return c.getMode()},enumerable:true},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:true},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:true},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:true},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:true},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:true}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),false})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:false,control:false,alt:false,meta:false},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(false!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),y=!!(2&e),v=!!(4&e),x=1/t.clientHeight,_=x*(r-d._lastX),b=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!f&&!p&&!m||g&&!f&&!p&&m)&&c.rotate(A,w*k*_,-T*k*b,0),(l&&g&&!f&&!p&&!m||y||g&&f&&!p&&!m)&&c.pan(A,-d.translateSpeed*_*h,d.translateSpeed*b*h,0),u&&g&&!f&&!p&&!m||v||g&&!f&&p&&!m)){var M=-d.zoomSpeed*b/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,h*(Math.exp(M)-1));}return d._lastX=r,d._lastY=i,d._lastMods=a,true}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods);}),!!l&&{passive:true}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault();}),!!l&&{passive:false}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods);}),!!l&&{passive:true}),d.wheelListener=o(t,(function(t,e){if(false!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,h*(Math.exp(o)-1));}}}),true);},d.enableMouseListeners(),d};var n=r(3025),i=r(6296),a=r(351),o=r(8512),s=r(24),l=r(7520);},799:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])};},4100:function(t,e,r){var n=r(4437),i=r(3837),a=r(5445),o=r(4449),s=r(3589),l=r(2260),c=r(7169),u=r(351),h=r(4772),f=r(4040),p=r(799),d=r(9216)({tablet:true,featureDetect:true});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null;}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return \"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e));}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:true,antialias:true,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var v=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,_=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),b=p(r),w=t.cameraObject&&true===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||false,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],C=[],L=[],I=[],P=true,z=true,O={view:null,projection:new Array(16),model:new Array(16),_ortho:false},D=(z=true,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:false,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:v,objects:E,shape:D,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:O,oncontextloss:null,mouseListener:null,_stopped:false,getAspectratio:function(){return {x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,z=true;},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max;},setClearColor:function(t){this.clearColor=t;},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT);}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",P=true;}}}function j(){for(var t=E.length,e=I.length,n=0;n<e;++n)L[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(L[o]+a<255){C[n]=o,i.setPickBase(L[o]+1),L[o]+=a;continue t}var l=s(r,D);C[n]=e,I.push(l),L.push(a),i.setPickBase(1),e+=1;}else C[n]=-1;}for(;e>0&&0===L[e-1];)L.pop(),I.pop().dispose();}function U(){if(F.contextLost)return  true;r.isContextLost()&&(F.contextLost=true,F.mouseListener.enabled=false,F.selection.object=null,F.oncontextloss&&F.oncontextloss());}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(P=true,z=true);},F.add=function(t){F._stopped||(t.axes=A,E.push(t),C.push(-1),P=true,z=true,j());},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),P=true,z=true,j());}},F.dispose=function(){if(!F._stopped&&(F._stopped=true,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=false,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(_.dispose(),t=0;t<I.length;++t)I[t].dispose();b.dispose(),r=null,A=null,S=null,E=[];}},F._mouseRotating=false,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=u(e,(function(t,e,r){if(!F._stopped){var n=I.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=false;if(t&&F._prevButtons)F._mouseRotating=true;else {F._mouseRotating&&(z=true),F._mouseRotating=false;for(var s=0;s<n;++s){var l=I[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(C[c]===s){var h=u.pick(l);h&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=h.distance,x.dataPosition=h.position,x.dataCoordinate=h.dataCoordinate,x.data=h,o=true);}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),P=true),x.object&&(x.object.highlight&&x.object.highlight(x.data),P=true),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t;}}));},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();O.view=F.camera.matrix,P=P||t,z=z||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(L=E[o]).pixelRatio=F.pixelRatio,L.axes=F.axes,P=P||!!L.dirty,z=z||!!L.dirty;var s=L.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p]);}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else {n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m;}d[0][p]=n[p],d[1][p]=i[p];}var y=false;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(z=z||y,P=P||y){if(y){var v=[0,0,0];for(o=0;o<3;++o)v[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:v}):A.update({bounds:d});}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(D[0]=T,D[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(i,-p,p,-1,1,l,c),n._ortho=true):(h(i,u,p,l,c),n._ortho=false);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]));}(F,w),o=0;o<e;++o)(L=E[o]).axesBounds=d,F.clipToBounds&&(L.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=false,function(){if(!U()){r.colorMask(true,true,true,true),r.depthMask(true),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=I.length,n=0;n<e;++n){var i=I[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(C[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(O));}i.end();}}}()),F.axesPixels=a(F.axes,O,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(true),r.colorMask(true,true,true,true),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=false;for(A.enable&&(M=M||A.isTransparent(),A.draw(O)),S.axes=A,x.object&&S.draw(O),r.disable(r.CULL_FACE),o=0;o<e;++o)(L=E[o]).axes=A,L.pixelRatio=F.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(O),L.isTransparent&&L.isTransparent()&&(M=true);if(M){for(_.shape=D,_.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(false,false,false,false),r.depthMask(true),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(O),o=0;o<e;++o)(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(O);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(true,true,true,true),r.depthMask(false),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(O),o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(O);}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),b.bind(),_.color[0].bind(0),b.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND);}for(P=false,o=0;o<e;++o)E[o].dirty=false;}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t));}(),F.redraw=function(){F._stopped||(P=true,H());},F},createCamera:n};},6640:function(t,e,r){var n=r(3236);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"]);},4696:function(t,e,r){var n=r(9405),i=r(2762),a=r(1888),o=r(6640);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=false,this.pickOffset=0,this.points=null;}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this);},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",false);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0;},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++;}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return {object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}};},783:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],m=r[2],g=r[3];return (a=c*p+u*d+h*m+f*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*m,t[3]=s*f+l*g,t};},5964:function(t){t.exports=function(t){return t||0===t?t.toString():\"\"};},9366:function(t,e,r){var n=r(4359);t.exports=function(t,e,r){var a=[e.style,e.weight,e.variant,e.family].join(\"_\"),o=i[a];if(o||(o=i[a]={}),t in o)return o[t];var s={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e.family,fontStyle:e.style,fontWeight:e.weight,fontVariant:e.variant,lineSpacing:1.25,styletags:{breaklines:true,bolds:true,italics:true,subscripts:true,superscripts:true},triangles:true},l=n(t,s);s.triangles=false;var c,u,h=n(t,s);if(r&&1!==r){for(c=0;c<l.positions.length;++c)for(u=0;u<l.positions[c].length;++u)l.positions[c][u]/=r;for(c=0;c<h.positions.length;++c)for(u=0;u<h.positions[c].length;++u)h.positions[c][u]/=r;}var f=[[1/0,1/0],[-1/0,-1/0]],p=h.positions.length;for(c=0;c<p;++c){var d=h.positions[c];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],d[u]),f[1][u]=Math.max(f[1][u],d[u]);}return o[t]=[l,h,f]};var i={};},1283:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * (view * (model * vec4(position, 1)));\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * (view * (model * vec4(dataPosition, 1)));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:a,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,h)},e.createOrtho=function(t){return y(t,f)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,m)},e.createPickProject=function(t){return y(t,g)};},8418:function(t,e,r){var n=r(5219),i=r(2762),a=r(8116),o=r(1888),s=r(6760),l=r(1283),c=r(9366),u=r(5964),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],f=ArrayBuffer,p=DataView;function d(t){return Array.isArray(t)||function(t){return f.isView(t)&&!(t instanceof p)}(t)}function m(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function g(t,e,r,n){return m(n,n),m(n,n),m(n,n)}function y(t,e){this.index=t,this.dataCoordinate=this.position=e;}function v(t){return  true===t||t>1?1:t}function x(t,e,r,n,i,a,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=false,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=false,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new y(0,[0,0,0]),this.useOrtho=true,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[true,true,true],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=true;}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=i(e),f=i(e),p=i(e),d=i(e),m=new x(e,r,n,o,h,f,p,d,a(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:true}]),s,c,u);return m.update(t),m};var _=x.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t;},_.isTransparent=function(){if(this.hasAlpha)return  true;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return  true;return  false},_.isOpaque=function(){if(!this.hasAlpha)return  true;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return  true;return  false};var b=[0,0],w=[0,0,0],T=[0,0,0],k=[0,0,0,1],A=[0,0,0,1],M=h.slice(),S=[0,0,0],E=[[0,0,0],[0,0,0]];function C(t){return t[0]=t[1]=t[2]=0,t}function L(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function I(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var P=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function z(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,p=e.axesBounds,d=function(t){for(var e=E,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],b[0]=2/o.drawingBufferWidth,b[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=b,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=d,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var y=M,v=0;v<16;++v)y[v]=0;for(v=0;v<4;++v)y[5*v]=1;y[5*m]=0,i[m]<0?y[12+m]=p[0][m]:y[12+m]=p[1][m],s(y,c,y),l.model=y;var x=(m+1)%3,_=(m+2)%3,P=C(w),z=C(T);P[x]=1,z[_]=1;var O=g(0,0,0,L(k,P)),D=g(0,0,0,L(A,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=P,P=z,z=R;var F=x;x=_,_=F;}O[0]<0&&(P[x]=-1),D[1]>0&&(z[_]=-1);var B=0,N=0;for(v=0;v<4;++v)B+=Math.pow(c[4*x+v],2),N+=Math.pow(c[4*_+v],2);P[x]/=Math.sqrt(B),z[_]/=Math.sqrt(N),l.axes[0]=P,l.axes[1]=z,l.fragClipBounds[0]=I(S,d[0],m,-1e8),l.fragClipBounds[1]=I(S,d[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind();}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var c=t.uniforms;c.model=n.model||h,c.view=n.view||h,c.projection=n.projection||h,b[0]=2/l.drawingBufferWidth,b[1]=2/l.drawingBufferHeight,c.screenSize=b,c.highlightId=r.highlightId,c.highlightScale=r.highlightScale,c.fragClipBounds=P,c.clipBounds=r.axes.bounds,c.opacity=r.opacity,c.pickGroup=r.pickId/255,c.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind();}}function O(t,e,r,i){var a;a=d(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=true;n(a)&&(a=\"▼\",o=false),r||(r={});var s=r.family;d(s)&&(s=s[e]),s||(s=\"normal\");var l=r.weight;d(l)&&(l=l[e]),l||(l=\"normal\");var h=r.style;d(h)&&(h=h[e]),h||(h=\"normal\");var f=r.variant;d(f)&&(f=f[e]),f||(f=\"normal\");var p=c(a,{family:s,weight:l,style:h,variant:f},i);return {mesh:(p=c(a,r,i))[0],lines:p[1],bounds:p[2],visible:o}}_.draw=function(t){z(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,false,false);},_.drawTransparent=function(t){z(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,true,false);},_.drawPick=function(t){z(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,true,true);},_.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},_.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0];}else this.highlightId=[1,1,1,1];},_.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(d(t.project))this.axesProject=t.project;else {var e=!!t.project;this.axesProject=[e,e,e];}if(\"projectScale\"in t)if(d(t.projectScale))this.projectScale=t.projectScale.slice();else {var r=+t.projectScale;this.projectScale=[r,r,r];}if(this.projectHasAlpha=false,\"projectOpacity\"in t){d(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=true);}this.hasAlpha=false,\"opacity\"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=true)),this.dirty=true;var i,a,s=t.position,l={family:t.font||\"normal\",style:t.fontStyle||\"normal\",weight:t.fontWeight||\"normal\",variant:t.fontVariant||\"normal\"},c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else for(i=[],a=[],n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1];var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,m=t.size,g=t.angle,y=t.lineColor,x=-1,_=0,b=0,w=0;if(s.length){w=s.length;t:for(n=0;n<w;++n){for(var T=s[n],k=0;k<3;++k)if(isNaN(T[k])||!isFinite(T[k]))continue t;var A=(j=O(f,n,l,this.pixelRatio)).mesh,M=j.lines,S=j.bounds;_+=3*A.cells.length,b+=2*M.edges.length;}}var E=_+b,C=o.mallocFloat(3*E),L=o.mallocFloat(4*E),I=o.mallocFloat(2*E),P=o.mallocUint32(E);if(E>0){var z=0,D=_,R=[0,0,0,1],F=[0,0,0,1],B=d(p)&&d(p[0]),N=d(y)&&d(y[0]);t:for(n=0;n<w;++n){for(x+=1,T=s[n],k=0;k<3;++k){if(isNaN(T[k])||!isFinite(T[k]))continue t;h[k]=Math.max(h[k],T[k]),u[k]=Math.min(u[k],T[k]);}A=(j=O(f,n,l,this.pixelRatio)).mesh,M=j.lines,S=j.bounds;var j,U=j.visible;if(U)if(d(p)){if(3===(V=B?n<p.length?p[n]:[0,0,0,0]:p).length){for(k=0;k<3;++k)R[k]=V[k];R[3]=1;}else if(4===V.length){for(k=0;k<4;++k)R[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=true);}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];if(U)if(d(y)){var V;if(3===(V=N?n<y.length?y[n]:[0,0,0,0]:y).length){for(k=0;k<3;++k)F[k]=V[k];F[k]=1;}else if(4===V.length){for(k=0;k<4;++k)F[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=true);}}else F[0]=F[1]=F[2]=0,F[3]=1;else F=[1,1,1,0];var q=.5;U?d(m)?q=n<m.length?+m[n]:12:m?q=+m:this.useOrtho&&(q=12):q=0;var H=0;d(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var G=Math.cos(H),Z=Math.sin(H);for(T=s[n],k=0;k<3;++k)h[k]=Math.max(h[k],T[k]),u[k]=Math.min(u[k],T[k]);var W=i,Y=a;W=0,d(i)?W=n<i.length?i[n]:0:i&&(W=i),Y=0,d(a)?Y=n<a.length?a[n]:0:a&&(Y=a);var X=[W*=W>0?1-S[0][0]:W<0?1+S[1][0]:1,Y*=Y>0?1-S[0][1]:Y<0?1+S[1][1]:1],$=A.cells||[],J=A.positions||[];for(k=0;k<$.length;++k)for(var K=$[k],Q=0;Q<3;++Q){for(var tt=0;tt<3;++tt)C[3*z+tt]=T[tt];for(tt=0;tt<4;++tt)L[4*z+tt]=R[tt];P[z]=x;var et=J[K[Q]];I[2*z]=q*(G*et[0]-Z*et[1]+X[0]),I[2*z+1]=q*(Z*et[0]+G*et[1]+X[1]),z+=1;}for($=M.edges,J=M.positions,k=0;k<$.length;++k)for(K=$[k],Q=0;Q<2;++Q){for(tt=0;tt<3;++tt)C[3*D+tt]=T[tt];for(tt=0;tt<4;++tt)L[4*D+tt]=F[tt];P[D]=x,et=J[K[Q]],I[2*D]=q*(G*et[0]-Z*et[1]+X[0]),I[2*D+1]=q*(Z*et[0]+G*et[1]+X[1]),D+=1;}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=_,this.lineVertexCount=b,this.pointBuffer.update(C),this.colorBuffer.update(L),this.glyphBuffer.update(I),this.idBuffer.update(P),o.free(C),o.free(L),o.free(I),o.free(P);},_.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose();};},4298:function(t,e,r){var n=r(3236);e.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),e.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"]);},3161:function(t,e,r){var n=r(9405),i=r(2762),a=r(4298);function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=true,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=false,this.innerColor=[0,0,0,.25],this.outerFill=true,this.outerColor=[0,0,0,.5],this.borderWidth=10;}t.exports=function(t,e){var r=t.gl,s=new o(t,i(r,[0,0,0,1,1,0,1,1]),n(r,a.boxVertex,a.boxFragment));return s.update(e),t.addOverlay(s),s};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,f,i),o.drawBox(0,f,h,d,i),o.drawBox(0,d,m,g,i),o.drawBox(p,f,m,d,i)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var y=r*u;o.drawBox(h-y,f-y,p+y,f+y,a),o.drawBox(h-y,d-y,p+y,d+y,a),o.drawBox(h-y,f-y,h+y,d+y,a),o.drawBox(p-y,f-y,p+y,d+y,a);}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice();},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this);};},3589:function(t,e,r){t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(2260),i=r(1888),a=r(9618),o=r(8828).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i;}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null);};}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255;}return t}}}),c.begin=function(){var t=this.gl;this.shape,t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT));},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1));},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var 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r=e.prototype;r.update=function(t){t=t||{},this.enable=(t.enable||[true,true,false,false]).slice(),this.width=(t.width||[1,1,1,1]).slice(),this.color=(t.color||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]).map((function(t){return t.slice()})),this.center=(t.center||[1/0,1/0]).slice(),this.plot.setOverlayDirty();},r.draw=function(){var t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&a.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&a.drawLine(l,c,l,s[3],e[3],r[3]);}},r.dispose=function(){this.plot.removeOverlay(this);};},1493:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vertexPosition = mix(coordinates[0],\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n  vec4 clipPos = projection * (view * (model * vec4(vertexPosition, 1.0)));\\n  vec2 clipOffset = (projection * (view * (model * vec4(color, 0.0)))).xy;\\n  vec2 delta = weight * clipOffset * screenShape;\\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\\n\\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\\n}\\n\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])};},4449:function(t,e,r){var n=r(2762),i=r(8116),a=r(1493);t.exports=function(t,e){var r=[];function o(t,e,n,i,a,o){var s=[t,e,n,0,0,0,1];s[i+3]=1,s[i]=a,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[i]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[i]=a,r.push.apply(r,s);}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),c=i(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=a(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var h=new s(t,l,c,u);return h.update(e),h};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[true,true,true],this.drawSides=[true,true,true],this.axes=null;}var l=s.prototype,c=[0,0,0],u=[0,0,0],h=[0,0];l.isTransparent=function(){return  false},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(i=this.axes.lastCubeProps.axis);for(var f=c,p=u,d=0;d<3;++d)i&&i[d]<0?(f[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(f[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);for(h[0]=e.drawingBufferWidth,h[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,f,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=h,d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind();},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides));},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose();};},6740:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * (view * tubePosition);\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]};},7815:function(t,e,r){var n=r(2931),i=r(9970),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i);}return e};t.exports=function(t,e){var r=t.startingPositions,c=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=true),-1!==f.indexOf(\"-y\")&&(p.reversedY=true),-1!==f.indexOf(\"-z\")&&(p.reversedZ=true),p.filled=a.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],c=t[1],u=t[2],h=a[0].length,f=a[1].length,p=a[2].length,d=o(a[0],l),m=o(a[1],c),g=o(a[2],u),y=d+1,v=m+1,x=g+1;if(d=s(d,0,h-1),y=s(y,0,h-1),m=s(m,0,f-1),v=s(v,0,f-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||m<0||g<0||y>h-1||v>f-1||x>p-1)return n.create();var _,b,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][m],C=a[1][v],L=a[2][g],I=(l-M)/(S-M),P=(c-E)/(C-E),z=(u-L)/(a[2][x]-L);switch(isFinite(I)||(I=.5),isFinite(P)||(P=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,y=h-1-y),r.reversedY&&(m=f-1-m,v=f-1-v),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=v*p,_=d*p*f,b=y*p*f;break;case 4:k=g,A=x,_=d*p,b=y*p,w=m*p*h,T=v*p*h;break;case 3:w=m,T=v,k=g*f,A=x*f,_=d*f*p,b=y*f*p;break;case 2:w=m,T=v,_=d*f,b=y*f,k=g*f*h,A=x*f*h;break;case 1:_=d,b=y,k=g*h,A=x*h,w=m*h*p,T=v*h*p;break;default:_=d,b=y,w=m*h,T=v*h,k=g*h*f,A=x*h*f;}var O=i[_+w+k],D=i[_+w+A],R=i[_+T+k],F=i[_+T+A],B=i[b+w+k],N=i[b+w+A],j=i[b+T+k],U=i[b+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,I),n.lerp(q,D,N,I),n.lerp(H,R,j,I),n.lerp(G,F,U,I);var Z=n.create(),W=n.create();n.lerp(Z,V,H,P),n.lerp(W,q,G,P);var Y=n.create();return n.lerp(Y,Z,W,z),Y}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],v=e[0][1],x=e[0][2],_=e[1][0],b=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return !(e<y||e>_||r<v||r>b||n<x||n>w)},k=10*n.distance(e[0],e[1])/c,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,c=0;c<s;c++){var u=t[c],h=u[0],f=u[1],p=u[2];i[h]||(e.push(h),i[h]=true),a[f]||(r.push(f),a[f]=true),o[p]||(n.push(p),o[p]=true);}var d=l(e),m=l(r),g=l(n),y=Math.min(d,m,g);return isFinite(y)?y:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var I=[L],P=[],z=d(L),O=L;P.push(z);var D=[],R=m(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:I,velocities:P,divergences:D});for(var B=0;B<100*c&&I.length<c&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-A>-1e-4*A&&(I.push(N),O=N,P.push(z),R=m(N,z),F=n.length(R),isFinite(F)&&F>S&&(S=F),D.push(F)),L=N;}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],m=0,g=0,y=i.create(),v=i.create(),x=0;x<o.length;x++){var _=o[x],b=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(b)/a,y=i.create(),n.copy(y,b),y[3]=w;for(var T=0;T<8;T++)p[T]=[_[0],_[1],_[2],T];if(f.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(f[T],p[T],p[k],p[k],f[k],f[T]),h.push(v,y,y,y,v,v),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1]);}var M=f;f=p,p=M;var S=v;v=y,y=S;var E=m;m=g,g=E;}return {positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,a,o)})),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=h.length;for(h=h.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity),c=0;c<m.cells.length;c++){var y=m.cells[c],v=[];f.push(v);for(var x=0;x<y.length;x++)v.push(y[x]+g);}}return {positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return h?U.tubeScale=h:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var c=r(6740),u=r(6405).createMesh;t.exports.createTubeMesh=function(t,e){return u(t,e,{shaders:c,traceType:\"streamtube\"})};},990:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(localCoordinate, 1.0);\\n  vec4 clipPosition = projection * (view * worldPosition);\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * (view * worldPosition);\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e};},9499:function(t,e,r){t.exports=function(t){var e=t.gl,r=v(e),n=_(e),s=x(e),l=b(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:w,offset:0},{buffer:c,size:3,stride:w,offset:16},{buffer:c,size:3,stride:w,offset:28}]),h=i(e),f=a(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,h,f,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(8828),i=r(2762),a=r(8116),o=r(7766),s=r(1888),l=r(6729),c=r(5298),u=r(9994),h=r(9618),f=r(3711),p=r(6760),d=r(7608),m=r(2478),g=r(6199),y=r(990),v=y.createShader,x=y.createContourShader,_=y.createPickShader,b=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i;}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1;}}();var S=256;function E(t,e,r,n,i,a,o,l,c,u,f,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=true,this.showSurface=true,this.enableHighlight=[true,true,true],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[true,true,true],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[false,false,false],this.contourProject=[[false,false,false],[false,false,false],[false,false,false]],this.colorBounds=[false,false],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=false,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=true;}var C=E.prototype;C.genColormap=function(t,e){var r=false,n=u([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=true),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},C.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},C.isOpaque=function(){return !this.isTransparent()},C.pickSlots=1,C.setPickBase=function(t){this.pickId=t;};var L=[0,0,0],I={showSurface:false,showContour:false,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function P(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||L,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=I.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=I.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8;}return I.showSurface=o,I.showContour=s,I}var z={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},O=T.slice(),D=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=z;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=D,n.vertexColor=this.vertexColor;var s=O;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l;}var u=P(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind();}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),i=0;i<3;++i)for(h.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(h.uniforms.contourColor=this.highlightColor[i],h.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(h.uniforms.contourColor=this.contourColor[i],h.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(h.uniforms.height=this.contourLevels[i][o],f.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(h.uniforms.model=u.projections[i],h.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){h.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(h.uniforms.height=this.contourLevels[o][m],f.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]));}for(f.unbind(),(f=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[i],h.uniforms.contourTint=this.dynamicTint[i],h.uniforms.height=this.dynamicLevel[i],f.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));f.unbind();}}C.draw=function(t){return R.call(this,t,false)},C.drawTransparent=function(t){return R.call(this,t,true)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return [N(t[0]),N(t[1]),N(t[2])];var e=N(t);return [e.slice(),e.slice(),e.slice()]}}C.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=D;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=P(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind();}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]));}l.unbind();}},C.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?a:1-a,f=0;f<2;++f)for(var p=i+u,d=s+f,g=h*(f?l:1-l),y=0;y<3;++y)c[y]+=this._field[y].get(p,d)*g;for(var v=this._pickResult.level,x=0;x<3;++x)if(v[x]=m.le(this.contourLevels[x],c[x]),v[x]<0)this.contourLevels[x].length>0&&(v[x]=0);else if(v[x]<this.contourLevels[x].length-1){var _=this.contourLevels[x][v[x]],b=this.contourLevels[x][v[x]+1];Math.abs(_-c[x])>Math.abs(b-c[x])&&(v[x]+=1);}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},C.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1));},C.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=true,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=false;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=h(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(y=0;y<2;++y)if(c.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c);}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=h(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=h(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d);}}else {for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2],m,0);}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1);}var v=this._field,x=h(s.mallocFloat(3*v[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),v[o],\"mirror\");var _=h(s.mallocFloat(3*v[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var b=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,C=M*w-S*b,L=b*A-w*T,I=Math.sqrt(E*E+C*C+L*L);I<1e-8?(I=Math.max(Math.abs(E),Math.abs(C),Math.abs(L)))<1e-8?(L=1,C=E=0,I=1):I=1/I:I=1/Math.sqrt(I),_.set(o,y,0,E*I),_.set(o,y,1,C*I),_.set(o,y,2,L*I);}s.free(x.data);var P=[1/0,1/0,1/0],z=[-1/0,-1/0,-1/0],O=1/0,D=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var Z=o+k[H][0],W=y+k[H][1],Y=this._field[0].get(Z+1,W+1),X=this._field[1].get(Z+1,W+1);G=this._field[2].get(Z+1,W+1),E=_.get(Z+1,W+1,0),C=_.get(Z+1,W+1,1),L=_.get(Z+1,W+1,2),t.intensity&&($=t.intensity.get(Z,W));var $=t.intensity?t.intensity.get(Z,W):G+this.objectOffset[2];F[N++]=Z,F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=G,F[N++]=0,F[N++]=$,F[N++]=E,F[N++]=C,F[N++]=L,P[0]=Math.min(P[0],Y+this.objectOffset[0]),P[1]=Math.min(P[1],X+this.objectOffset[1]),P[2]=Math.min(P[2],G+this.objectOffset[2]),O=Math.min(O,$),z[0]=Math.max(z[0],Y+this.objectOffset[0]),z[1]=Math.max(z[1],X+this.objectOffset[1]),z[2]=Math.max(z[2],G+this.objectOffset[2]),D=Math.max(D,$),U+=1;}}for(t.intensityBounds&&(O=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-O)/(D-O);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(_.data),this.bounds=[P,z],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===O&&this.intensityBounds[1]===D||(r=true),this.intensityBounds=[O,D];}if(\"levels\"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=true;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=true;break t}}this.contourLevels=J;}if(r){v=this._field,a=this.shape;for(var K=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=f(this._field[Q],tt[o]);et.push(K.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ht=0|Math.floor(ut),ft=ut-ht,pt=false;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ft:1-ft;if(W=0|Math.min(Math.max(ht+q,0),a[1]),G=dt<2?this._field[mt].get(Z,W):(this.intensity.get(Z,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=true;break e}var vt=gt*yt;nt[dt]+=vt*G;}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)K.pop();U-=1;}continue t}K.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1;}}rt.push(U);}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt;}var _t=s.mallocFloat(K.length);for(o=0;o<K.length;++o)_t[o]=K[o];this._contourBuffer.update(_t),s.freeFloat(_t);}},C.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data);},C.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var y=m[e],v=0;v<2;++v){var x=g[y[v]],_=+x[0],b=0|_,w=0|Math.min(b+1,i[0]),T=_-b,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,C=1-E,L=k*C,I=k*E,P=T*C,z=T*E,O=L*h.get(b,M)+I*h.get(b,S)+P*h.get(w,M)+z*h.get(w,S),D=L*p.get(b,M)+I*p.get(b,S)+P*p.get(w,M)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){v&&(n-=1);break}a[2*n+0]=O,a[2*n+1]=D,n+=1;}this._dynamicCounts[o]=n-this._dynamicOffsets[o];}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a);}};},7766:function(t,e,r){var n=r(9618),i=r(5298),a=r(1888);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT];}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=c(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new f(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=false,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=false,r=\"uint8\");var h,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else {if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else {if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA;}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=false);var y=e.size;if(l)h=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else {var v=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,v,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):u(x,e),h=p.subarray(0,y);}var _=m(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,c,h),l||a.free(p),new f(t,_,o[0],o[1],g,c)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){return \"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var u=function(t,e){i.muls(t,e,255);};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function f(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return 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t&&((y=0|t)<0?(g+=h*(o-1),o=v(-o/y)):o=v(o/y),h*=y),\"number\"==typeof e&&((y=0|e)<0?(g+=f*(s-1),s=v(-s/y)):s=v(s/y),f*=y),\"number\"==typeof r&&((y=0|r)<0?(g+=p*(l-1),l=v(-l/y)):l=v(l/y),p*=y),\"number\"==typeof i&&((y=0|i)<0?(g+=d*(c-1),c=v(-c/y)):c=v(c/y),d*=y),\"number\"==typeof a&&((y=0|a)<0?(g+=m*(u-1),u=v(-u/y)):u=v(u/y),m*=y),new n(this.data,o,s,l,c,u,h,f,p,d,m,g)},i.transpose=function(t,e,r,i,a){t=void 0===t?0:0|t,e=void 0===e?1:0|e,r=void 0===r?2:0|r,i=void 0===i?3:0|i,a=void 0===a?4:0|a;var o=this.shape,s=this.stride;return new n(this.data,o[t],o[e],o[r],o[i],o[a],s[t],s[e],s[r],s[i],s[a],this.offset)},i.pick=function(t,r,n,i,a){var o=[],s=[],l=this.offset;return \"number\"==typeof t&&t>=0?l=l+this.stride[0]*t|0:(o.push(this.shape[0]),s.push(this.stride[0])),\"number\"==typeof r&&r>=0?l=l+this.stride[1]*r|0:(o.push(this.shape[1]),s.push(this.stride[1])),\"number\"==typeof n&&n>=0?l=l+this.stride[2]*n|0:(o.push(this.shape[2]),s.push(this.stride[2])),\"number\"==typeof 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i};},4081:function(t){t.exports=function(t,e,r,n,i,a,o,s,l,c){var u=e+a+c;if(h>0){var h=Math.sqrt(u+1);t[0]=.5*(o-l)/h,t[1]=.5*(s-n)/h,t[2]=.5*(r-a)/h,t[3]=.5*h;}else {var f=Math.max(e,a,c);h=Math.sqrt(2*f-u+1),e>=f?(t[0]=.5*h,t[1]=.5*(i+r)/h,t[2]=.5*(s+n)/h,t[3]=.5*(o-l)/h):a>=f?(t[0]=.5*(r+i)/h,t[1]=.5*h,t[2]=.5*(l+o)/h,t[3]=.5*(s-n)/h):(t[0]=.5*(n+s)/h,t[1]=.5*(o+l)/h,t[2]=.5*h,t[3]=.5*(r-i)/h);}return t};},9977:function(t,e,r){t.exports=function(t){var e=(t=t||{}).center||[0,0,0],r=t.rotation||[0,0,0,1],n=t.radius||1;e=[].slice.call(e,0,3),u(r=[].slice.call(r,0,4),r);var i=new h(r,e,Math.log(n));return i.setDistanceLimits(t.zoomMin,t.zoomMax),(\"eye\"in t||\"up\"in t)&&i.lookAt(0,t.eye,t.center,t.up),i};var n=r(9215),i=r(6582),a=r(7399),o=r(7608),s=r(4081);function l(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function c(t,e,r,n){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function u(t,e){var 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c=0,h=0;h<3;++h)c+=r[l+4*h]*i[h];r[12+l]=-c;}},f.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r},f.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t);},f.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t);},f.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=i[1],o=i[5],s=i[9],c=l(a,o,s);a/=c,o/=c,s/=c;var u=i[0],h=i[4],f=i[8],p=u*a+h*o+f*s,d=l(u-=a*p,h-=o*p,f-=s*p);u/=d,h/=d,f/=d;i[2];i[6];i[10];var b=u*e+a*r,w=h*e+o*r,T=f*e+s*r;this.center.move(t,b,w,T);var k=Math.exp(this.computedRadius[0]);k=Math.max(1e-4,k+n),this.radius.set(t,Math.log(k));},f.rotate=function(t,e,r,n){this.recalcMatrix(t),e=e||0,r=r||0;var 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l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2]);},f.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0);},f.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var h=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*h,l-n[6]*h,c-n[10]*h),this.radius.idle(t);}else this.center.idle(t),this.radius.idle(t);},f.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e));},f.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e;},f.getDistanceLimits=function(t){var e=this.radius.bounds;return 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r=e.parse(t[1],1,Zt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u]);}return new tr(i,r,n)},tr.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Qe(e,n)].evaluate(t)},tr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e]);},tr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},tr.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var rr=Object.freeze({__proto__:null,number:er,color:function(t,e,r){return new ce(er(t.r,e.r,r),er(t.g,e.g,r),er(t.b,e.b,r),er(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return er(t,e[n],r)}))}}),nr=.95047,ir=1,ar=1.08883,or=4/29,sr=6/29,lr=3*sr*sr,cr=sr*sr*sr,ur=Math.PI/180,hr=180/Math.PI;function fr(t){return t>cr?Math.pow(t,1/3):t/lr+or}function pr(t){return t>sr?t*t*t:lr*(t-or)}function dr(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function mr(t){return (t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function gr(t){var e=mr(t.r),r=mr(t.g),n=mr(t.b),i=fr((.4124564*e+.3575761*r+.1804375*n)/nr),a=fr((.2126729*e+.7151522*r+.072175*n)/ir);return {l:116*a-16,a:500*(i-a),b:200*(a-fr((.0193339*e+.119192*r+.9503041*n)/ar)),alpha:t.a}}function yr(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=ir*pr(e),r=nr*pr(r),n=ar*pr(n),new ce(dr(3.2404542*r-1.5371385*e-.4985314*n),dr(-0.969266*r+1.8760108*e+.041556*n),dr(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function vr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var xr={forward:gr,reverse:yr,interpolate:function(t,e,r){return {l:er(t.l,e.l,r),a:er(t.a,e.a,r),b:er(t.b,e.b,r),alpha:er(t.alpha,e.alpha,r)}}},_r={forward:function(t){var e=gr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*hr;return {h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*ur,r=t.c;return yr({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return 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r&&n?ae(r.type,[Yt,Wt,Zt,Gt,Jt])?new Sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\"):null},Sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return  false;if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");return r.indexOf(e)>=0},Sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack);},Sr.prototype.outputDefined=function(){return  true},Sr.prototype.serialize=function(){return [\"in\",this.needle.serialize(),this.haystack.serialize()]};var Er=function(t,e,r){this.type=Zt,this.needle=t,this.haystack=e,this.fromIndex=r;};Er.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);if(!r||!n)return null;if(!ae(r.type,[Yt,Wt,Zt,Gt,Jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Zt);return i?new Er(r,n,i):null}return new Er(r,n)},Er.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},Er.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex);},Er.prototype.outputDefined=function(){return  false},Er.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return [\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return [\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var Cr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a;};Cr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of arguments.\");var r,n;e.expectedType&&\"value\"!==e.expectedType.kind&&(n=e.expectedType);for(var i={},a=[],o=2;o<t.length-1;o+=2){var s=t[o],l=t[o+1];Array.isArray(s)||(s=[s]);var c=e.concat(o);if(0===s.length)return c.error(\"Expected at least one branch 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Ir=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n;};function Pr(t,e){return \"==\"===t||\"!=\"===t?\"boolean\"===e.kind||\"string\"===e.kind||\"number\"===e.kind||\"null\"===e.kind||\"value\"===e.kind:\"string\"===e.kind||\"number\"===e.kind||\"value\"===e.kind}function zr(t,e,r,n){return 0===n.compare(e,r)}function Or(t,e,r){var n=\"==\"!==t&&\"!=\"!==t;return function(){function i(t,e,r){this.type=Yt,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind;}return i.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var r=t[0],a=e.parse(t[1],1,Jt);if(!a)return null;if(!Pr(r,a.type))return e.concat(1).error('\"'+r+\"\\\" comparisons are not supported for type '\"+re(a.type)+\"'.\");var o=e.parse(t[2],2,Jt);if(!o)return null;if(!Pr(r,o.type))return e.concat(2).error('\"'+r+\"\\\" comparisons are not supported for type 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expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Xr([a]);if(a instanceof wr&&!Kr(e))return Xr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Yr(new fn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Yr(new pn(n?\"camera\":\"composite\",t.value,a.labels,o))}pn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},pn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},pn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?wr.interpolationFactor(this.interpolationType,t,e,r):0};var mn=function(t,e){this._parameters=t,this._specification=e,jt(this,rn(this._parameters,this._specification));};function gn(t){var e=null;if(t instanceof Ar)e=gn(t.result);else if(t instanceof kr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=gn(i))break}else (t instanceof tr||t instanceof wr)&&t.input instanceof Ee&&\"zoom\"===t.input.name&&(e=t);return e instanceof qt||t.eachChild((function(t){var r=gn(t);r instanceof qt?e=r:!e&&r?e=new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new qt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'));})),e}function yn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Qr(r);if(\"object\"!==l)return [new Bt(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(i[u])f=i[u];else if(n[u])f=Hn;else if(i[\"*\"])f=i[\"*\"];else {if(!n[\"*\"]){s.push(new Bt(e,r[c],'unknown property \"'+c+'\"'));continue}f=Hn;}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:a,styleSpec:o,object:r,objectKey:c},r));}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Bt(e,r,'missing required property \"'+p+'\"'));return s}function vn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Hn;if(\"array\"!==Qr(e))return [new Bt(a,e,\"array expected, \"+Qr(e)+\" found\")];if(r.length&&e.length!==r.length)return [new Bt(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return [new Bt(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+c+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return \"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function _n(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),u=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return [new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(vn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return \"identity\"===a&&s&&u.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Kr(t.valueSpec)&&u.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!$r(t.valueSpec)?u.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&u.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Bt(t.key,t.value,'\"property\" property is required')),u;function h(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Qr(a))return [new Bt(s,a,\"array expected, \"+Qr(a)+\" found\")];if(2!==a.length)return [new Bt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Qr(a[0]))return [new Bt(s,a,\"object expected, \"+Qr(a[0])+\" found\")];if(void 0===a[0].zoom)return [new Bt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return [new Bt(s,a,\"object stop key must have value\")];if(n&&n>Ut(a[0].zoom))return [new Bt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ut(a[0].zoom)!==n&&(n=Ut(a[0].zoom),r=void 0,o={}),e=e.concat(yn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:xn,value:f}}));}else e=e.concat(f({key:s+\"[0]\",value:a[0],style:t.style,styleSpec:t.styleSpec},a));return un(Vt(a[1]))?e.concat([new Bt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Hn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=Qr(t.value),l=Ut(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return [new Bt(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return [new Bt(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return $r(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,c,u)]}return \"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,c,\"stop domain values must be unique\")]:(o[l]=true,[])):[new Bt(t.key,c,\"integer expected, found \"+l)]}}function bn(t){var e=(\"property\"===t.expressionContext?dn:hn)(Vt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Bt(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return [new Bt(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Ye(r))return [new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Ye(r))return [new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Xe(r,[\"zoom\",\"feature-state\"]))return [new Bt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!We(r))return [new Bt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return []}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}function Tn(t){if(true===t||false===t)return  true;if(!Array.isArray(t)||0===t.length)return  false;switch(t[0]){case \"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case \"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case \"!in\":case \"!has\":case \"none\":return  false;case \"==\":case \"!=\":case \">\":case \">=\":case \"<\":case \"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case \"any\":case \"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return  false}return  true;default:return  true}}mn.deserialize=function(t){return new mn(t._parameters,t._specification)},mn.serialize=function(t){return {_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:false};function An(t){if(null==t)return {filter:function(){return  true},needGeometry:false};Tn(t)||(t=En(t));var e=hn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return {filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return  false;if(\"within\"===t[0])return  true;for(var e=1;e<t.length;e++)if(Sn(t[e]))return  true;return  false}function En(t){if(!t)return  true;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Cn(t[1],t[2],\"==\"):\"!=\"===r?Pn(Cn(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Cn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(Pn)):\"in\"===r?Ln(t[1],t.slice(2)):\"!in\"===r?Pn(Ln(t[1],t.slice(2))):\"has\"===r?In(t[1]):\"!has\"===r?Pn(In(t[1])):\"within\"!==r||t}function Cn(t,e,r){switch(t){case \"$type\":return [\"filter-type-\"+r,e];case \"$id\":return [\"filter-id-\"+r,e];default:return [\"filter-\"+r,t,e]}}function Ln(t,e){if(0===e.length)return  false;switch(t){case \"$type\":return [\"filter-type-in\",[\"literal\",e]];case \"$id\":return [\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function In(t){switch(t){case \"$type\":return  true;case \"$id\":return [\"filter-has-id\"];default:return [\"filter-has\",t]}}function Pn(t){return [\"!\",t]}function zn(t){return Tn(Vt(t.value))?bn(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):On(t)}function On(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return [new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return [new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case \"<\":case \"<=\":case \">\":case \">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case \"==\":case \"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case \"in\":case \"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o<e.length;o++)n=Qr(e[o]),\"$type\"===Ut(e[1])?a=a.concat(wn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Bt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case \"any\":case \"all\":case \"none\":for(var s=1;s<e.length;s++)a=a.concat(On({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case \"has\":case \"!has\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case \"within\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"));}return a}function Dn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return [];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return [new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&$r(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return [new Bt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var h=[];return \"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&h.push(new Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&h.push(new Bt(r,a,'\"text-font\" does not support identity functions'))),h.concat(Hn({key:t.key,value:a,valueSpec:u,style:n,styleSpec:i,expressionContext:\"property\",propertyType:e,propertyKey:o}))}function Rn(t){return Dn(t,\"paint\")}function Fn(t){return Dn(t,\"layout\")}function Bn(t){var e=[],r=t.value,n=t.key,i=t.style,a=t.styleSpec;r.type||r.ref||e.push(new Bt(n,r,'either \"type\" or \"ref\" is required'));var o,s=Ut(r.type),l=Ut(r.ref);if(r.id)for(var c=Ut(r.id),u=0;u<t.arrayIndex;u++){var h=i.layers[u];Ut(h.id)===c&&e.push(new Bt(n,r.id,'duplicate layer id \"'+r.id+'\", previously used at line '+h.id.__line__));}if(\"ref\"in r)[\"type\",\"source\",\"source-layer\",\"filter\",\"layout\"].forEach((function(t){t in r&&e.push(new Bt(n,r[t],'\"'+t+'\" is prohibited for ref layers'));})),i.layers.forEach((function(t){Ut(t.id)===l&&(o=t);})),o?o.ref?e.push(new Bt(n,r.ref,\"ref cannot reference another ref layer\")):s=Ut(o.type):e.push(new Bt(n,r.ref,'ref layer \"'+l+'\" not found'));else if(\"background\"!==s)if(r.source){var f=i.sources&&i.sources[r.source],p=f&&Ut(f.type);f?\"vector\"===p&&\"raster\"===s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Bt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&f.lineMetrics||e.push(new Bt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Bt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Bt(n,r.source,'source \"'+r.source+'\" not found'));}else e.push(new Bt(n,r,'missing required property \"source\"'));return e=e.concat(yn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return []},type:function(){return Hn({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:zn,layout:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Fn(jt({layerType:s},t))}}})},paint:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Rn(jt({layerType:s},t))}}})}}})),e}function Nn(t){var e=t.value,r=t.key,n=Qr(e);return \"string\"!==n?[new Bt(r,e,\"string expected, \"+n+\" found\")]:[]}var jn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===Qr(r))return Nn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Nn({key:e+\".\"+i,value:r[i]}));return n}};function Un(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return [new Bt(r,e,'\"type\" is required')];var a,o=Ut(e.type);switch(o){case \"vector\":case \"raster\":case \"raster-dem\":return yn({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:jn});case \"geojson\":if(a=yn({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:jn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=l[1],h=\"string\"==typeof c?[c,[\"accumulated\"],[\"get\",s]]:c;a.push.apply(a,bn({key:r+\".\"+s+\".map\",value:u,expressionContext:\"cluster-map\"})),a.push.apply(a,bn({key:r+\".\"+s+\".reduce\",value:h,expressionContext:\"cluster-reduce\"}));}return a;case \"video\":return yn({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case \"image\":return yn({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case \"canvas\":return [new Bt(r,null,\"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.\",\"source.canvas\")];default:return 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0===e?t.specification.default:e,t.specification);};Di.prototype.isDataDriven=function(){return \"source\"===this.expression.kind||\"composite\"===this.expression.kind},Di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new Di(t,void 0);};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues);};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new Di(this._values[t].property,null===e?void 0:w(e));},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0;},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a);}return t},Fi.prototype.transitioned=function(t,e){for(var r=new Ni(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a]);}return r},Fi.prototype.untransitioned=function(){for(var t=new Ni(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned();}return t};var Bi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r);};Bi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues);};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r);}return n},Ni.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return  true}return  false};var ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues);};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new Di(this._values[t].property,null===e?void 0:w(e));},ji.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);}return t},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r);}return n};var Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r;};Ui.prototype.isConstant=function(){return \"constant\"===this.value.kind},Ui.prototype.constantOr=function(t){return \"constant\"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues);};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t;};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e;};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return \"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ui(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ui(this,{kind:\"constant\",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return \"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Ui(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ui(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Ui(this,{kind:\"constant\",value:s},e)}return new Ui(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return \"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Hi),Zi=function(t){this.specification=t;};Zi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Oi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Oi(Math.floor(e.zoom),e)),t.expression.evaluate(new Oi(Math.floor(e.zoom+1),e)),e)}},Zi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Zi.prototype.interpolate=function(t){return t};var Wi=function(t){this.specification=t;};Wi.prototype.possiblyEvaluate=function(t,e,r,n){return !!t.expression.evaluate(e,null,{},r,n)},Wi.prototype.interpolate=function(){return  false};var Yi=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Ri(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({});}};oi(\"DataDrivenProperty\",Hi),oi(\"DataConstantProperty\",qi),oi(\"CrossFadedDataDrivenProperty\",Gi),oi(\"CrossFadedProperty\",Zi),oi(\"ColorRampProperty\",Wi);var Xi=\"-transition\",$i=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return  true},needGeometry:false},\"custom\"!==e.type&&(this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new ji(r.layout)),r.paint)){for(var n in this._transitionablePaint=new Fi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:false});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:false});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Vi(r.paint);}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return \"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(Kn,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e;},e.prototype.getPaintProperty=function(t){return x(t,Xi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Jn,n,t,e,r))return  false}if(x(t,Xi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),false;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return  false},e.prototype.isHidden=function(t){return !!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint);},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e);},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),b(t,(function(t,e){return !(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||false!==i.validate)&&Qn(this,t.call(Xn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,style:{glyphs:true,sprite:true}}))},e.prototype.is3D=function(){return  false},e.prototype.isTileClipped=function(){return  false},e.prototype.hasOffscreenPass=function(){return  false},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Ui&&$r(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return  true}return  false},e}(Rt),Ji={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ki=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8;},Qi=function(){this.isTransferred=false,this.capacity=-1,this.resize(0);};function ta(t,e){ void 0===e&&(e=1);var r=0,n=0;return {members:t.map((function(t){var i,a=(i=t.type,Ji[i].BYTES_PER_ELEMENT),o=r=ea(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:ea(r,Math.max(n,e)),alignment:e}}function ea(t,e){return Math.ceil(t/e)*e}Qi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=true,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Qi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews());},Qi.prototype.clear=function(){this.length=0;},Qi.prototype.resize=function(t){this.reserve(t),this.length=t;},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e);}},Qi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var ra=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Qi);ra.prototype.bytesPerElement=4,oi(\"StructArrayLayout2i4\",ra);var na=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Qi);na.prototype.bytesPerElement=8,oi(\"StructArrayLayout4i8\",na);var ia=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ia.prototype.bytesPerElement=12,oi(\"StructArrayLayout2i4i12\",ia);var aa=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Qi);aa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2i4ub8\",aa);var oa=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Qi);oa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2f8\",oa);var sa=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var h=10*t;return this.uint16[h+0]=e,this.uint16[h+1]=r,this.uint16[h+2]=n,this.uint16[h+3]=i,this.uint16[h+4]=a,this.uint16[h+5]=o,this.uint16[h+6]=s,this.uint16[h+7]=l,this.uint16[h+8]=c,this.uint16[h+9]=u,t},e}(Qi);sa.prototype.bytesPerElement=20,oi(\"StructArrayLayout10ui20\",sa);var la=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,h){var f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,i,a,o,s,l,c,u,h)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,h,f){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t},e}(Qi);la.prototype.bytesPerElement=24,oi(\"StructArrayLayout4i4ui4i24\",la);var ca=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Qi);ca.prototype.bytesPerElement=12,oi(\"StructArrayLayout3f12\",ca);var ua=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Qi);ua.prototype.bytesPerElement=4,oi(\"StructArrayLayout1ul4\",ua);var ha=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,h=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[h+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Qi);ha.prototype.bytesPerElement=20,oi(\"StructArrayLayout6i1ul2ui20\",ha);var fa=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return 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this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S,E){var C=34*t,L=17*t;return this.int16[C+0]=e,this.int16[C+1]=r,this.int16[C+2]=n,this.int16[C+3]=i,this.int16[C+4]=a,this.int16[C+5]=o,this.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=h,this.uint16[C+11]=f,this.uint16[C+12]=p,this.uint16[C+13]=d,this.uint16[C+14]=m,this.uint16[C+15]=g,this.uint16[C+16]=y,this.uint16[C+17]=v,this.uint16[C+18]=x,this.uint16[C+19]=_,this.uint16[C+20]=b,this.uint16[C+21]=w,this.uint16[C+22]=T,this.uint32[L+12]=k,this.float32[L+13]=A,this.float32[L+14]=M,this.float32[L+15]=S,this.float32[L+16]=E,t},e}(Qi);ya.prototype.bytesPerElement=68,oi(\"StructArrayLayout8i15ui1ul4f68\",ya);var va=function(t){function e(){t.apply(this,arguments);}return 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this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Qi);xa.prototype.bytesPerElement=6,oi(\"StructArrayLayout3i6\",xa);var _a=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Qi);_a.prototype.bytesPerElement=8,oi(\"StructArrayLayout1ul2ui8\",_a);var ba=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Qi);ba.prototype.bytesPerElement=4,oi(\"StructArrayLayout2ui4\",ba);var wa=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Qi);wa.prototype.bytesPerElement=2,oi(\"StructArrayLayout1ui2\",wa);var Ta=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer);},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Qi);Ta.prototype.bytesPerElement=16,oi(\"StructArrayLayout4f16\",Ta);var ka=function(t){function e(){t.apply(this,arguments);}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:true},anchorPointY:{configurable:true},x1:{configurable:true},y1:{configurable:true},x2:{configurable:true},y2:{configurable:true},featureIndex:{configurable:true},sourceLayerIndex:{configurable:true},bucketIndex:{configurable:true},anchorPoint:{configurable:true}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ki);ka.prototype.size=20;var Aa=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new 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this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t;},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t;},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ki);Ma.prototype.size=48;var Sa=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ma(this,t)},e}(ga);oi(\"PlacedSymbolArray\",Sa);var Ea=function(t){function e(){t.apply(this,arguments);}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:true},anchorY:{configurable:true},rightJustifiedTextSymbolIndex:{configurable:true},centerJustifiedTextSymbolIndex:{configurable:true},leftJustifiedTextSymbolIndex:{configurable:true},verticalPlacedTextSymbolIndex:{configurable:true},placedIconSymbolIndex:{configurable:true},verticalPlacedIconSymbolIndex:{configurable:true},key:{configurable:true},textBoxStartIndex:{configurable:true},textBoxEndIndex:{configurable:true},verticalTextBoxStartIndex:{configurable:true},verticalTextBoxEndIndex:{configurable:true},iconBoxStartIndex:{configurable:true},iconBoxEndIndex:{configurable:true},verticalIconBoxStartIndex:{configurable:true},verticalIconBoxEndIndex:{configurable:true},featureIndex:{configurable:true},numHorizontalGlyphVertices:{configurable:true},numVerticalGlyphVertices:{configurable:true},numIconVertices:{configurable:true},numVerticalIconVertices:{configurable:true},useRuntimeCollisionCircles:{configurable:true},crossTileID:{configurable:true},textBoxScale:{configurable:true},textOffset0:{configurable:true},textOffset1:{configurable:true},collisionCircleDiameter:{configurable:true}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t;},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Ki);Ea.prototype.size=68;var Ca=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ea(this,t)},e}(ya);oi(\"SymbolInstanceArray\",Ca);var La=function(t){function e(){t.apply(this,arguments);}return 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s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n));}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent));},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy();},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=h(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n);},so.prototype.getBinding=function(t,e,r){return new $a(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i;};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r);},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i);},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],c=n[o];if(s&&l&&c)for(var u=t;u<e;u++)this.zoomInPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],c.tl[0],c.tl[1],c.br[0],c.br[1],l.pixelRatio,c.pixelRatio);}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent));},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy();};var co=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a instanceof Ui&&$r(a.property.specification)){var o=ho(i,t.type),s=a.value,l=a.property.specification.type,c=a.property.useIntegerZoom,u=a.property.specification[\"property-type\"],h=\"cross-faded\"===u||\"cross-faded-data-driven\"===u;if(\"constant\"===s.kind)this.binders[i]=h?new ao(s.value,o):new io(s.value,o,l),n.push(\"/u_\"+i);else if(\"source\"===s.kind||h){var f=fo(i,l,\"source\");this.binders[i]=h?new lo(s,l,c,e,f,t.id):new oo(s,o,l,f),n.push(\"/a_\"+i);}else {var p=fo(i,l,\"composite\");this.binders[i]=new so(s,o,l,c,e,p),n.push(\"/z_\"+i);}}}this.cacheKey=n.sort().join(\"\");};co.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof oo||e instanceof so?e.maxValue:0},co.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof oo||o instanceof so||o instanceof lo)&&o.populatePaintArray(t,e,r,n,i);}},co.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ao&&n.setConstantPatternPositions(t,e);}},co.prototype.updatePaintArrays=function(t,e,r,n,i){var a=false;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var h in this.binders){var f=this.binders[h];if((f instanceof oo||f instanceof so||f instanceof lo)&&true===f.expression.isStateDependent){var p=n.paint.get(h);f.expression=p.value,f.updatePaintArray(c.start,c.end,u,t[o],i),a=true;}}}return a},co.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return \"#define HAS_UNIFORM_\"+t})));}return t},co.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name);}return t},co.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a);}}return t},co.prototype.getPaintVertexBuffers=function(){return this._buffers},co.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l});}}}return r},co.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s);}},co.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n);}else (r instanceof oo||r instanceof so)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer);}},co.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof oo||r instanceof so||r instanceof lo)&&r.upload(t);}this.updatePaintBuffers();},co.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof oo||e instanceof so||e instanceof lo)&&e.destroy();}};var uo=function(t,e,r){ void 0===r&&(r=function(){return  true}),this.programConfigurations={};for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.programConfigurations[a.id]=new co(a,e,r);}this.needsUpload=false,this._featureMap=new qa,this._bufferOffset=0;};function ho(t,e){return {\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function fo(t,e,r){var n={color:{source:oa,composite:Ta},number:{source:va,composite:oa}},i=function(t){return {\"line-pattern\":{source:sa,composite:sa},\"fill-pattern\":{source:sa,composite:sa},\"fill-extrusion-pattern\":{source:sa,composite:sa}}[t]}(t);return 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n=r[0],i=r[2];if(t.x<n.x&&e.x<n.x||t.x>i.x&&e.x>i.x||t.y<n.y&&e.y<n.y||t.y>i.y&&e.y>i.y)return  false;var a=A(t,e,r[0]);return a!==A(t,e,r[1])||a!==A(t,e,r[2])||a!==A(t,e,r[3])}function Po(t,e,r){var n=e.paint.get(t).value;return \"constant\"===n.kind?n.value:r.programConfigurations.get(e.id).getMaxValue(t)}function zo(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function Oo(t,e,r,n,i){if(!e[0]&&!e[1])return t;var o=a.convert(e)._mult(i);\"viewport\"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++){var c=t[l];s.push(c.sub(o));}return s}_o.prototype.populate=function(t,e,r){var n=this.layers[0],i=[],a=null;\"circle\"===n.type&&(a=n.layout.get(\"circle-sort-key\"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],c=l.feature,u=l.id,h=l.index,f=l.sourceLayerIndex,p=this.layers[0]._featureFilter.needGeometry,d=vo(c,p);if(this.layers[0]._featureFilter.filter(new Oi(this.zoom),d,r)){var m=a?a.evaluate(d,{},r):void 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h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),f=h.vertexLength;xo(this.layoutVertexArray,c,u,-1,-1),xo(this.layoutVertexArray,c,u,1,-1),xo(this.layoutVertexArray,c,u,1,1),xo(this.layoutVertexArray,c,u,-1,1),this.indexArray.emplaceBack(f,f+1,f+2),this.indexArray.emplaceBack(f,f+3,f+2),h.vertexLength+=4,h.primitiveLength+=2;}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{},n);},oi(\"CircleBucket\",_o,{omit:[\"layers\"]});var Do=new Yi({\"circle-sort-key\":new Hi(Ft.layout_circle[\"circle-sort-key\"])}),Ro={paint:new Yi({\"circle-radius\":new Hi(Ft.paint_circle[\"circle-radius\"]),\"circle-color\":new Hi(Ft.paint_circle[\"circle-color\"]),\"circle-blur\":new Hi(Ft.paint_circle[\"circle-blur\"]),\"circle-opacity\":new Hi(Ft.paint_circle[\"circle-opacity\"]),\"circle-translate\":new qi(Ft.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new 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t=this._pbf;t.pos=this._geometry;for(var e,r=t.readVarint()+t.pos,n=1,i=0,o=0,s=0,l=[];t.pos<r;){if(i<=0){var c=t.readVarint();n=7&c,i=c>>3;}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else {if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone());}}return e&&l.push(e),l},Ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3;}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return [o,l,s,c]},Ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=Ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90];}}switch(this.type){case 1:var h=[];for(n=0;n<l.length;n++)h[n]=l[n][0];u(l=h);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return [t];for(var r,n,i=[],a=0;a<e;a++){var o=Xs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]));}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i]);}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return \"id\"in this&&(f.id=this.id),f};var $s=Js;function Js(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ks,this,e),this.length=this._features.length;}function Ks(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null;}return e}(r));}function Qs(t,e,r){if(3===t){var n=new $s(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n);}}Js.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Zs(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e);},VectorTileFeature:Zs,VectorTileLayer:$s},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s));}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=false,this.layoutVertexArray=new ia,this.indexArray=new ma,this.programConfigurations=new uo(t.layers,t.zoom),this.segments=new Da,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}));};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,h=vo(o,u);if(this.layers[0]._featureFilter.filter(new Oi(this.zoom),h,r)){var f={id:s,sourceLayerIndex:c,index:l,geometry:u?h.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"fill-extrusion\",this.layers,f,this.zoom,e)):this.addFeature(f,f.geometry,l,r,{}),e.featureIndex.insert(o,f.geometry,l,c,this.index,true);}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r);}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r);},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return !this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=true;},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy());},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),f=0,p=s;f<p.length;f+=1){var d=p[f];if(0!==d.length&&!((P=d).every((function(t){return t.x<0}))||P.every((function(t){return t.x>po}))||P.every((function(t){return t.y<0}))||P.every((function(t){return t.y>po}))))for(var m=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var v=d[g-1];if(!al(y,v)){h.vertexLength+4>Da.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(v)._perp()._unit(),_=v.dist(y);m+_>32768&&(m=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m),m+=_,nl(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),nl(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m);var b=h.vertexLength;this.indexArray.emplaceBack(b,b+2,b+1),this.indexArray.emplaceBack(b+1,b+2,b+3),h.vertexLength+=4,h.primitiveLength+=2;}}}}if(h.vertexLength+l>Da.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[t.type]){for(var w=[],T=[],k=h.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var C=S[E];nl(this.layoutVertexArray,C.x,C.y,0,0,1,1,0),w.push(C.x),w.push(C.y);}}}for(var L=as(w,T),I=0;I<L.length;I+=3)this.indexArray.emplaceBack(k+L[I],k+L[I+2],k+L[I+1]);h.primitiveLength+=L.length/3,h.vertexLength+=l;}}var P;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n);},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Yi({\"fill-extrusion-opacity\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Gi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},sl=function(t){function e(e){t.call(this,e,ol);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return zo(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return  true},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var c=Oo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];qo(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]));}return i}(c,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var y=[],v=[],x=0,_=g[m];x<_.length;x+=1){var b=_[x],w=b.x,T=b.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+c,C=S+u,L=k+h,I=A+f,P=M+p,z=S+d,O=new a((k+s)/C,(A+l)/C);O.z=E/C,y.push(O);var D=new a(L/z,I/z);D.z=P/z,v.push(D);}i.push(y),o.push(v);}return [i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=cl(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],h=[l,c,o[s+1],u,l];bo(r,h)&&(n=Math.min(n,cl(r,h)));}return n!==1/0&&n}(p[0],p[1],f)},e}($i);function ll(t,e){return t.x*e.x+t.y*e.y}function cl(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=ll(s,s),h=ll(s,l),f=ll(l,l),p=ll(c,s),d=ll(c,l),m=u*f-h*h,g=(f*p-h*d)/m,y=(u*d-h*p)/m,v=1-g-y,x=i.z*v+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var _=1/0,b=0,w=e;b<w.length;b+=1){var T=w[b];_=Math.min(_,T.z);}return _}var ul=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,hl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,fl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,ml=function(t){var e=this;this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=false,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={};})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new ma,this.programConfigurations=new uo(t.layers,t.zoom),this.segments=new Da,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}));};ml.prototype.populate=function(t,e,r){this.hasPattern=Ns(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,h=s.sourceLayerIndex,f=this.layers[0]._featureFilter.needGeometry,p=vo(l,f);if(this.layers[0]._featureFilter.filter(new Oi(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:h,index:u,geometry:f?p.geometry:yo(l),patterns:{},sortKey:d};i.push(m);}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var v=y[g],x=v,_=x.geometry,b=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js(\"line\",this.layers,v,this.zoom,e);this.patternFeatures.push(T);}else this.addFeature(v,_,b,r,{});var k=t[b].feature;e.featureIndex.insert(k,_,b,w,this.index);}},ml.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r);},ml.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r);}},ml.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},ml.prototype.uploadPending=function(){return !this.uploaded||this.programConfigurations.needsUpload},ml.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,hl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ul),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=true;},ml.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy());},ml.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty(\"mapbox_clip_start\")&&t.properties.hasOwnProperty(\"mapbox_clip_end\"))return {start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},ml.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(var u=0,h=e;u<h.length;u+=1){var f=h[u];this.addLine(f,t,o,s,l,c);}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n);},ml.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance);}for(var s=\"Polygon\"===fl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,h=this.overscaling<=16?15*po/(512*this.overscaling):0,f=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var y=c;y<l;y++)if(!(d=y===l-1?s?t[c+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(m=g),u&&(p=u),u=t[y],g=d?d.sub(u)._unit()._perp():m;var v=(m=m||g).add(g);0===v.x&&0===v.y||v._unit();var x=m.x*g.x+m.y*g.y,_=v.x*g.x+v.y*g.y,b=0!==_?1/_:1/0,w=2*Math.sqrt(2-2*_),T=_<pl&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&y>c){var A=u.dist(p);if(A>2*h){var M=u.sub(u.sub(p)._mult(h/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,0,0,f),p=M;}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(b<a?E=\"miter\":b<=2&&(E=\"fakeround\")),\"miter\"===E&&b>i&&(E=\"bevel\"),\"bevel\"===E&&(b>2&&(E=\"flipbevel\"),b<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)v._mult(b),this.addCurrentVertex(u,v,0,0,f);else if(\"flipbevel\"===E){if(b>100)v=g.mult(-1);else {var C=b*m.add(g).mag()/m.sub(g).mag();v._perp()._mult(C*(k?-1:1));}this.addCurrentVertex(u,v,0,0,f),this.addCurrentVertex(u,v.mult(-1),0,0,f);}else if(\"bevel\"===E||\"fakeround\"===E){var L=-Math.sqrt(b*b-1),I=k?L:0,P=k?0:L;if(p&&this.addCurrentVertex(u,m,I,P,f),\"fakeround\"===E)for(var z=Math.round(180*w/Math.PI/20),O=1;O<z;O++){var D=O/z;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)));}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,false,k,0,f);}d&&this.addCurrentVertex(u,g,-I,-P,f);}else if(\"butt\"===E)this.addCurrentVertex(u,v,0,0,f);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,v,B,B,f);}else \"round\"===E&&(p&&(this.addCurrentVertex(u,m,0,0,f),this.addCurrentVertex(u,m,1,1,f,true)),d&&(this.addCurrentVertex(u,g,-1,-1,f,true),this.addCurrentVertex(u,g,0,0,f)));if(T&&y<l-1){var N=u.dist(d);if(N>2*h){var j=u.add(d.sub(u)._mult(h/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,f),u=j;}}}}},ml.prototype.addCurrentVertex=function(t,e,r,n,i,a){ void 0===a&&(a=false);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,false,r,i),this.addHalfVertex(t,l,c,a,true,-n,i),this.distance>dl/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a));},ml.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*(this.lineClips?this.scaledDistance*(dl-1):this.scaledDistance);if(this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6),this.lineClips){var u=(this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start);this.layoutVertexArray2.emplaceBack(u,this.lineClipsArray.length);}var 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this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),$l(this.buf,t,this.pos),this.pos+=4;},writeSFixed32:function(t){this.realloc(4),$l(this.buf,t,this.pos),this.pos+=4;},writeFixed64:function(t){this.realloc(8),$l(this.buf,-1&t,this.pos),$l(this.buf,Math.floor(t*Dl),this.pos+4),this.pos+=8;},writeSFixed64:function(t){this.realloc(8),$l(this.buf,-1&t,this.pos),$l(this.buf,Math.floor(t*Dl),this.pos+4),this.pos+=8;},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-18446744073709552e3)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t;}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))));}(n,e);}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))));},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t);},writeBoolean:function(t){this.writeVarint(Boolean(t));},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null;}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128);}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r;},writeFloat:function(t){this.realloc(4),Il(this.buf,t,this.pos,true,23,4),this.pos+=4;},writeDouble:function(t){this.realloc(8),Il(this.buf,t,this.pos,true,52,8),this.pos+=8;},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r];},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n;},writeMessage:function(t,e,r){this.writeTag(t,zl.Bytes),this.writeRawMessage(e,r);},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e);},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e);},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Hl,e);},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e);},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ql,e);},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e);},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Zl,e);},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Wl,e);},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Yl,e);},writeBytesField:function(t,e){this.writeTag(t,zl.Bytes),this.writeBytes(e);},writeFixed32Field:function(t,e){this.writeTag(t,zl.Fixed32),this.writeFixed32(e);},writeSFixed32Field:function(t,e){this.writeTag(t,zl.Fixed32),this.writeSFixed32(e);},writeFixed64Field:function(t,e){this.writeTag(t,zl.Fixed64),this.writeFixed64(e);},writeSFixed64Field:function(t,e){this.writeTag(t,zl.Fixed64),this.writeSFixed64(e);},writeVarintField:function(t,e){this.writeTag(t,zl.Varint),this.writeVarint(e);},writeSVarintField:function(t,e){this.writeTag(t,zl.Varint),this.writeSVarint(e);},writeStringField:function(t,e){this.writeTag(t,zl.Bytes),this.writeString(e);},writeFloatField:function(t,e){this.writeTag(t,zl.Fixed32),this.writeFloat(e);},writeDoubleField:function(t,e){this.writeTag(t,zl.Fixed64),this.writeDouble(e);},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e));}};var Kl=3;function Ql(t,e,r){1===t&&r.readMessage(tc,e);}function tc(t,e,r){if(3===t){var n=r.readMessage(ec,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*Kl,height:s+2*Kl},a),metrics:{width:o,height:s,left:l,top:c,advance:u}});}}function ec(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint());}var rc=Kl;function nc(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w);}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var h=u[c],f=o.length-1;f>=0;f--){var p=o[f];if(!(h.w>p.w||h.h>p.h)){if(h.x=p.x,h.y=p.y,l=Math.max(l,h.y+h.h),s=Math.max(s,h.x+h.w),h.w===p.w&&h.h===p.h){var d=o.pop();f<o.length&&(o[f]=d);}else h.h===p.h?(p.x+=h.w,p.w-=h.w):h.w===p.w?(p.y+=h.h,p.h-=h.h):(o.push({x:p.x+h.w,y:p.y,w:p.w-h.w,h:h.h}),p.y+=h.h,p.h-=h.h);break}}return {w:s,h:l,fill:e/(s*l)||0}}var ic=1,ac=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n;},oc={tl:{configurable:true},br:{configurable:true},tlbr:{configurable:true},displaySize:{configurable:true}};oc.tl.get=function(){return [this.paddedRect.x+ic,this.paddedRect.y+ic]},oc.br.get=function(){return [this.paddedRect.x+this.paddedRect.w-ic,this.paddedRect.y+this.paddedRect.h-ic]},oc.tlbr.get=function(){return this.tl.concat(this.br)},oc.displaySize.get=function(){return [(this.paddedRect.w-2*ic)/this.pixelRatio,(this.paddedRect.h-2*ic)/this.pixelRatio]},Object.defineProperties(ac.prototype,oc);var sc=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=nc(i),o=a.w,s=a.h,l=new Ko({width:o||1,height:s||1});for(var c in t){var u=t[c],h=r[c].paddedRect;Ko.copy(u.data,l,{x:0,y:0},{x:h.x+ic,y:h.y+ic},u.data);}for(var f in e){var p=e[f],d=n[f].paddedRect,m=d.x+ic,g=d.y+ic,y=p.data.width,v=p.data.height;Ko.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Ko.copy(p.data,l,{x:0,y:v-1},{x:m,y:g-1},{width:y,height:1}),Ko.copy(p.data,l,{x:0,y:0},{x:m,y:g+v},{width:y,height:1}),Ko.copy(p.data,l,{x:y-1,y:0},{x:m-1,y:g},{width:1,height:v}),Ko.copy(p.data,l,{x:0,y:0},{x:m+y,y:g},{width:1,height:v});}this.image=l,this.iconPositions=r,this.patternPositions=n;};sc.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2*ic,h:i.data.height+2*ic};r.push(a),e[n]=new ac(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n);}},sc.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e);},sc.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a});}},oi(\"ImagePosition\",ac),oi(\"ImageAtlas\",sc);var lc={horizontal:1,vertical:2,horizontalOnly:3},cc=-17;var uc=function(){this.scale=1,this.fontStack=\"\",this.imageName=null;};uc.forText=function(t,e){var r=new uc;return r.scale=t||1,r.fontStack=e,r},uc.forImage=function(t){var e=new uc;return e.imageName=t,e};var hc=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null;};function fc(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m){var g,y=hc.fromFeature(t,i);h===lc.vertical&&y.verticalizePunctuation();var v=zi.processBidirectionalText,x=zi.processStyledBidirectionalText;if(v&&1===y.sections.length){g=[];for(var _=0,b=v(y.toString(),_c(y,c,a,e,n,p,d));_<b.length;_+=1){var w=b[_],T=new hc;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T);}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,_c(y,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new hc;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E);}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s;}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,_c(y,c,a,e,n,p,d));var C=[],L={positionedLines:C,text:y.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:h,iconsInText:false,verticalizable:false};return function(t,e,r,n,i,a,o,s,l,c,u,h){for(var f=0,p=cc,d=0,m=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,v=0,x=i;v<x.length;v+=1){var _=x[v];_.trim();var b=_.getMaxScale(),w=(b-1)*Cl,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(_.length()){for(var M=0;M<_.length();M++){var S=_.getSection(M),E=_.getSectionIndex(M),C=_.getCharCode(M),L=0,I=null,P=null,z=null,O=Cl,D=!(l===lc.horizontal||!u&&!mi(C)||u&&(pc[C]||yi(C)));if(S.imageName){var R=n[S.imageName];if(!R)continue;z=S.imageName,t.iconsInText=t.iconsInText||true,P=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Cl/h,I={width:F[0],height:F[1],left:ic,top:-rc,advance:D?F[1]:F[0]},L=w+(Cl-F[1]*S.scale),O=I.advance;var B=D?F[0]*S.scale-Cl*b:F[1]*S.scale-Cl*b;B>0&&B>A&&(A=B);}else {var N=r[S.fontStack],j=N&&N[C];if(j&&j.rect)P=j.rect,I=j.metrics;else {var U=e[S.fontStack],V=U&&U[C];if(!V)continue;I=V.metrics;}L=(b-S.scale)*Cl;}D?(t.verticalizable=true,k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:I,rect:P}),f+=O*S.scale+c):(k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:I,rect:P}),f+=I.advance*S.scale+c);}if(0!==k.length){var q=f-c;d=Math.max(q,d),wc(k,0,k.length-1,g,A);}f=0;var H=a*b+A;T.lineOffset=Math.max(A,w),p+=H,m=Math.max(H,m),++y;}else p+=a,++y;}var G=p-cc,Z=bc(o),W=Z.horizontalAlign,Y=Z.verticalAlign;((function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n-cc:(-n*l+.5)*o;for(var h=0,f=t;h<f.length;h+=1)for(var p=0,d=f[h].positionedGlyphs;p<d.length;p+=1){var m=d[p];m.x+=c,m.y+=u;}}))(t.positionedLines,g,W,Y,d,m,a,G,i.length),t.top+=-Y*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d;}(L,e,r,n,g,o,s,l,h,c,f,m),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return  false;return  true}(C)&&L}hc.fromFeature=function(t,e){for(var r=new hc,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e);}return r},hc.prototype.length=function(){return this.text.length},hc.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},hc.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},hc.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},hc.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]];}return e}(this.text);},hc.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pc[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pc[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r);},hc.prototype.substring=function(t,e){var r=new hc;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},hc.prototype.toString=function(){return this.text},hc.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},hc.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(uc.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r);},hc.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(uc.forImage(e)),this.sectionIndex.push(this.sections.length-1)):k(\"Reached maximum number of images 6401\");}else k(\"Can't add FormattedSection with an empty image.\");},hc.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var pc={9:true,10:true,11:true,12:true,13:true,32:true},dc={};function mc(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*Cl/a+i:0}var s=r[e.fontStack],l=s&&s[t];return 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a(0,0);u.push({tl:O,tr:D,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:Y,minFontScaleX:0,minFontScaleY:0});}}return u}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,v=null;\"source\"===y.kind?(v=[Ac*i.layout.get(\"text-size\").evaluate(s,{})])[0]>eu&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tu+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((v=[Ac*d.compositeTextSizes[0].evaluate(s,{},m),Ac*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>eu||v[1]>eu)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tu+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,v,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,_=h;x<_.length;x+=1)f[_[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nu(t){for(var e in t)return t[e];return null}function iu(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return  true}else i[e]=[];return i[e].push(n),false}var au=tl.VectorTileFeature.types,ou=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function su(t,e,r,n,i,a,o,s,l,c,u,h,f){var p=s?Math.min(eu,Math.round(s[0])):0,d=s?Math.min(eu,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*h,256*f);}function lu(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r);}function cu(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(_i(r[e].text))return  true;return  false}var uu=function(t){this.layoutVertexArray=new la,this.indexArray=new ma,this.programConfigurations=t,this.segments=new Da,this.dynamicLayoutVertexArray=new ca,this.opacityVertexArray=new ua,this.placedSymbolArray=new Sa;};uu.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},uu.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,true),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ou,true),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t));},uu.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy());},oi(\"SymbolBuffers\",uu);var hu=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Da,this.collisionVertexArray=new da;};hu.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,true);},hu.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy());},oi(\"CollisionBuffers\",hu);var fu=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=false,this.hasRTLText=false,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mc(this.zoom,e[\"text-size\"]),this.iconSizeData=Mc(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.canOverlap=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return lc[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID;};fu.prototype.createArrays=function(){this.text=new uu(new uo(this.layers,this.zoom,(function(t){return /^text/.test(t)}))),this.icon=new uu(new uo(this.layers,this.zoom,(function(t){return /^icon/.test(t)}))),this.glyphOffsetArray=new La,this.lineVertexArray=new Ia,this.symbolInstances=new Ca;},fu.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=true,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=true);}},fu.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof fe&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var h=e.iconDependencies,f=e.glyphDependencies,p=e.availableImages,d=new Oi(this.zoom),m=0,g=t;m<g.length;m+=1){var y=g[m],v=y.feature,x=y.id,_=y.index,b=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=vo(v,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(v));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=fe.factory(A);cu(M)&&(this.hasRTLText=true),(!this.hasRTLText||\"unavailable\"===Ii()||this.hasRTLText&&zi.isParsed())&&(k=Sl(M,n,T));}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.fromString(E);}if(k||S){var C=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,L={id:x,text:k,icon:S,index:_,sourceLayerIndex:b,geometry:T.geometry,properties:v.properties,type:au[v.type],sortKey:C};if(this.features.push(L),S&&(h[S.name]=true),k){var I=a.evaluate(T,{},r).join(\",\"),P=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lc.vertical)>=0;for(var z=0,O=k.sections;z<O.length;z+=1){var D=O[z];if(D.image)h[D.image.name]=true;else {var R=di(k.toString()),F=D.fontStack||I,B=f[F]=f[F]||{};this.calculateGlyphDependencies(D.text,B,P,this.allowVerticalPlacement,R);}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++;}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,true);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,h),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(f,n[g].geometry,true)]=g,n[m].geometry=null;}else p in r?o(p,d,h):d in e?s(p,d,h):(a(c),e[p]=i-1,r[d]=i-1);}else a(c);}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}));}},fu.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r));},fu.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},fu.prototype.uploadPending=function(){return !this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},fu.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=true;},fu.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy();},fu.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData();},fu.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor);}}return {lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},fu.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,h){for(var f=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,f,this.canOverlap?a.sortKey:void 0),m=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lc.vertical?Math.PI/2:0,v=a.text&&a.text.sections,x=0;x<e.length;x++){var _=e[x],b=_.tl,w=_.tr,T=_.bl,k=_.br,A=_.tex,M=_.pixelOffsetTL,S=_.pixelOffsetBR,E=_.minFontScaleX,C=_.minFontScaleY,L=_.glyphOffset,I=_.isSDF,P=_.sectionIndex,z=d.vertexLength,O=L[1];su(p,s.x,s.y,b.x,O+b.y,A.x,A.y,r,I,M.x,M.y,E,C),su(p,s.x,s.y,w.x,O+w.y,A.x+A.w,A.y,r,I,S.x,M.y,E,C),su(p,s.x,s.y,T.x,O+T.y,A.x,A.y+A.h,r,I,M.x,S.y,E,C),su(p,s.x,s.y,k.x,O+k.y,A.x+A.w,A.y+A.h,r,I,S.x,S.y,E,C),lu(t.dynamicLayoutVertexArray,s,y),f.emplaceBack(z,z+1,z+2),f.emplaceBack(z+1,z+2,z+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(L[0]),x!==e.length-1&&P===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},h,v&&v[P]);}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,false,0,u);},fu.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},fu.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),c=l.vertexLength,u=i.layoutVertexArray,h=i.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new a(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4;},fu.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r);}},fu.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new hu(fa,Al.members,ba),this.iconCollisionBox=new hu(fa,Al.members,ba);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,true),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,true),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,false),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,false);}},fu.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var h=t.get(u);c.textBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},c.textFeatureIndex=h.featureIndex;break}for(var f=n;f<i;f++){var p=t.get(f);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);c.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},c.verticalIconFeatureIndex=y.featureIndex;break}return c},fu.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex));}},fu.prototype.hasTextData=function(){return this.text.segments.get().length>0},fu.prototype.hasIconData=function(){return this.icon.segments.get().length>0},fu.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},fu.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},fu.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},fu.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3);},fu.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex);}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},fu.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1});},fu.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t);})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex);}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray);}},oi(\"SymbolBucket\",fu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),fu.MAX_GLYPHS=65535,fu.addDynamicAttributes=lu;var pu=new Yi({\"symbol-placement\":new qi(Ft.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new qi(Ft.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new qi(Ft.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Hi(Ft.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new qi(Ft.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new qi(Ft.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new qi(Ft.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new qi(Ft.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new qi(Ft.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Hi(Ft.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new qi(Ft.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new qi(Ft.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Hi(Ft.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Hi(Ft.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new qi(Ft.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new qi(Ft.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Hi(Ft.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Hi(Ft.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new qi(Ft.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new qi(Ft.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new qi(Ft.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Hi(Ft.layout_symbol[\"text-field\"]),\"text-font\":new Hi(Ft.layout_symbol[\"text-font\"]),\"text-size\":new Hi(Ft.layout_symbol[\"text-size\"]),\"text-max-width\":new Hi(Ft.layout_symbol[\"text-max-width\"]),\"text-line-height\":new qi(Ft.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Hi(Ft.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Hi(Ft.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Hi(Ft.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new qi(Ft.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Hi(Ft.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new qi(Ft.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new qi(Ft.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Hi(Ft.layout_symbol[\"text-rotate\"]),\"text-padding\":new qi(Ft.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new qi(Ft.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Hi(Ft.layout_symbol[\"text-transform\"]),\"text-offset\":new Hi(Ft.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new qi(Ft.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new qi(Ft.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new qi(Ft.layout_symbol[\"text-optional\"])}),du={paint:new Yi({\"icon-opacity\":new Hi(Ft.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Hi(Ft.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Hi(Ft.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Hi(Ft.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Hi(Ft.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new qi(Ft.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new qi(Ft.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Hi(Ft.paint_symbol[\"text-opacity\"]),\"text-color\":new Hi(Ft.paint_symbol[\"text-color\"],{runtimeType:Xt,getOverride:function(t){return t.textColor},hasOverride:function(t){return !!t.textColor}}),\"text-halo-color\":new Hi(Ft.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Hi(Ft.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Hi(Ft.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new qi(Ft.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new qi(Ft.paint_symbol[\"text-translate-anchor\"])}),layout:pu},mu=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t;};mu.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},mu.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression);},mu.prototype.outputDefined=function(){return  false},mu.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",mu,{omit:[\"defaultValue\"]});var gu=function(t){function e(e){t.call(this,e,du);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s);}this.layout._values[\"text-writing-mode\"]=i;}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"];}this._setPaintOverrides();},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||un(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new fu(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return  false},e.prototype._setPaintOverrides=function(){for(var t=0,r=du.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new mu(a),s=new cn(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new fn(\"source\",s):new pn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.parameters);}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return !(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=du.paint.properties[e],i=false,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=true)}};if(\"constant\"===r.value.kind&&r.value.value instanceof fe)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ve&&ge(t.value)===Qt){var e=t.value;a(e.sections);}else t instanceof we?a(t.sections):t.eachChild(o);},s=r.value;s._styleExpression&&o(s._styleExpression.expression);}return i},e}($i),yu={paint:new Yi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Zi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},vu=function(t){function e(e){t.call(this,e,yu);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}($i),xu={paint:new Yi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},_u=function(t){function e(e){t.call(this,e,xu);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}($i);var bu=function(t){function e(e){t.call(this,e,{}),this.implementation=e;}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return \"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl);},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl);},e}($i),wu={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:_l,symbol:gu,background:vu,raster:_u};var Tu=s.HTMLImageElement,ku=s.HTMLCanvasElement,Au=s.HTMLVideoElement,Mu=s.ImageData,Su=s.ImageBitmap,Eu=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n);};Eu.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(false),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||false!==e.premultiply)),a)this.size=[n,i],t instanceof Tu||t instanceof ku||t instanceof Au||t instanceof Mu||Su&&t instanceof Su?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else {var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Tu||t instanceof ku||t instanceof Au||t instanceof Mu||Su&&t instanceof Su?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data);}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D);},Eu.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e);},Eu.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Eu.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null;};var Cu=function(t){var e=this;this._callback=t,this._triggered=false,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=false,e._callback();});};Cu.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=true,this._channel?this._channel.port1.postMessage(true):setTimeout((function(){t._triggered=false,t._callback();}),0));},Cu.prototype.remove=function(){delete this._channel,this._callback=function(){};};var Lu=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},v([\"receive\",\"process\"],this),this.invoker=new Cu(this.process),this.target.addEventListener(\"message\",this.receive,false),this.globalScope=S()?t:s;};function Iu(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return [t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Lu.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=false);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=L(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ui(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId});}}},Lu.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n();}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e);},Lu.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e);}},Lu.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(hi(e.error)):n(null,hi(e.data)));}else {var i=false,a=L(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=true,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?ui(e):null,data:ui(n,a)},a);}:function(t){i=true;},s=null,l=hi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o);}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel);}},Lu.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,false);};var Pu=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]));};Pu.prototype.setNorthEast=function(t){return this._ne=t instanceof Ou?new Ou(t.lng,t.lat):Ou.convert(t),this},Pu.prototype.setSouthWest=function(t){return this._sw=t instanceof Ou?new Ou(t.lng,t.lat):Ou.convert(t),this},Pu.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Ou)e=t,r=t;else {if(!(t instanceof Pu)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Pu.convert(a))}var o=t;return this.extend(Ou.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Ou(e.lng,e.lat),this._ne=new Ou(r.lng,r.lat)),this},Pu.prototype.getCenter=function(){return new Ou((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pu.prototype.getSouthWest=function(){return this._sw},Pu.prototype.getNorthEast=function(){return this._ne},Pu.prototype.getNorthWest=function(){return new Ou(this.getWest(),this.getNorth())},Pu.prototype.getSouthEast=function(){return new Ou(this.getEast(),this.getSouth())},Pu.prototype.getWest=function(){return this._sw.lng},Pu.prototype.getSouth=function(){return this._sw.lat},Pu.prototype.getEast=function(){return this._ne.lng},Pu.prototype.getNorth=function(){return this._ne.lat},Pu.prototype.toArray=function(){return [this._sw.toArray(),this._ne.toArray()]},Pu.prototype.toString=function(){return \"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pu.prototype.isEmpty=function(){return !(this._sw&&this._ne)},Pu.prototype.contains=function(t){var e=Ou.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Pu.convert=function(t){return !t||t instanceof Pu?t:new Pu(t)};var zu=6371008.8,Ou=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Ou.prototype.wrap=function(){return new Ou(f(this.lng,-180,180),this.lat)},Ou.prototype.toArray=function(){return [this.lng,this.lat]},Ou.prototype.toString=function(){return \"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Ou.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return zu*Math.acos(Math.min(i,1))},Ou.prototype.toBounds=function(t){ void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Pu(new Ou(this.lng-r,this.lat-e),new Ou(this.lng+r,this.lat+e))},Ou.convert=function(t){if(t instanceof Ou)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Ou(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Ou(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Du=2*Math.PI*zu;function Ru(t){return Du*Math.cos(t*Math.PI/180)}function Fu(t){return (180+t)/360}function Bu(t){return (180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nu(t,e){return t/Ru(e)}function ju(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uu=function(t,e,r){ void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r;};Uu.fromLngLat=function(t,e){ void 0===e&&(e=0);var r=Ou.convert(t);return new Uu(Fu(r.lng),Bu(r.lat),Nu(e,r.lat))},Uu.prototype.toLngLat=function(){return new Ou(360*this.x-180,ju(this.y))},Uu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Ru(ju(e));var t,e;},Uu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Du*(t=ju(this.y),1/Math.cos(t*Math.PI/180));var t;};var Vu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gu(0,t,t,e,r);};Vu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Iu(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Iu(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Vu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qu=function(t,e){this.wrap=t,this.canonical=e,this.key=Gu(t,e.z,e.z,e.x,e.y);},Hu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vu(r,+n,+i),this.key=Gu(e,t,r,n,i);};function Gu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return (a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Hu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return  false;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Hu.prototype.children=function(t){if(this.overscaledZ>=t)return [new Hu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return [new Hu(e,this.wrap,e,r,n),new Hu(e,this.wrap,e,r+1,n),new Hu(e,this.wrap,e,r,n+1),new Hu(e,this.wrap,e,r+1,n+1)]},Hu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Hu.prototype.wrapped=function(){return new Hu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hu.prototype.unwrapTo=function(t){return new Hu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hu.prototype.toUnwrapped=function(){return new qu(this.wrap,this.canonical)},Hu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uu(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vu),oi(\"OverscaledTileID\",Hu,{omit:[\"posMatrix\"]});var Zu=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return k('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)];};Zu.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return (\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Zu.prototype.getUnpackVector=function(){return \"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Zu.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return (e+1)*this.stride+(t+1)},Zu.prototype._unpackMapbox=function(t,e,r){return (256*t*256+256*e+r)/10-1e4},Zu.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Zu.prototype.getPixels=function(){return new Ko({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Zu.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case  -1:n=i-1;break;case 1:i=n+1;}switch(r){case  -1:a=o-1;break;case 1:o=a+1;}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)];},oi(\"DEMData\",Zu);var Wu=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r;}};Wu.prototype.encode=function(t){return this._stringToNumber[t]},Wu.prototype.decode=function(t){return this._numberToString[t]};var Yu=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i;},Xu={geometry:{configurable:true}};Xu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Xu.geometry.set=function(t){this._geometry=t;},Yu.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Yu.prototype,Xu);var $u=function(){this.state={},this.stateChanges={},this.deletedStates={};};$u.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},p(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o];},$u.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null;}},$u.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},n[r],i[r]);if(null===this.deletedStates[t])return {};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return {};for(var s in o)delete a[s];}return a},$u.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e);},$u.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i;}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var u=0,h=Object.keys(this.deletedStates[o][c]);u<h.length;u+=1){var f=h[u];delete this.state[o][c][f];}s[c]=this.state[o][c];}r[o]=r[o]||{},p(r[o],s);}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e);};var Ju=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new za,this.promoteId=e;};function Ku(t,e,r,n,i){return _(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y);}return {minX:e,minY:r,maxX:n,maxY:i}}function th(t,e){return e-t}Ju.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y);}u[0]<po&&u[1]<po&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3]);}},Ju.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Pl(this.rawTileData)).layers,this.sourceLayerCoder=new Wu(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Ju.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),c=t.queryGeometry,u=t.queryPadding*s,h=Qu(c),f=this.grid.query(h.minX-u,h.minY-u,h.maxX+u,h.maxY+u),p=Qu(t.cameraQueryGeometry),d=0,m=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return  true}var c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(Lo(t,h[u]))return  true;for(var f=0;f<t.length-1;f++)if(Io(t[f],t[f+1],c))return  true;return  false}(t.cameraQueryGeometry,e-u,r-u,n+u,i+u)}));d<m.length;d+=1){var g=m[d];f.push(g);}f.sort(th);for(var y,v={},x=function(a){var u=f[a];if(u!==y){y=u;var h=i.featureIndexArray.get(u),p=null;i.loadMatchingFeature(v,h.bucketIndex,h.sourceLayerIndex,h.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(c,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}));}},_=0;_<f.length;_++)x(_);return v},Ju.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var h=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return  true;return  false}(a,h)){var f=this.sourceLayerCoder.decode(r),d=this.vtLayers[f].feature(n);if(i.needGeometry){var m=vo(d,true);if(!i.filter(new Oi(this.tileID.overscaledZ),m,this.tileID.canonical))return}else if(!i.filter(new Oi(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,f),y=0;y<h.length;y++){var v=h[y];if(!(a&&a.indexOf(v)<0)){var x=s[v];if(x){var _={};void 0!==g&&c&&(_=c.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var b=p({},l[v]);b.paint=Ku(b.paint,x.paint,d,_,o),b.layout=Ku(b.layout,x.layout,d,_,o);var w=!u||u(d,x,_);if(w){var T=new Yu(d,this.z,this.x,this.y,g);T.layer=b;var k=t[v];void 0===k&&(k=t[v]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w});}}}}}},Ju.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=An(i),u=0,h=t;u<h.length;u+=1){var f=h[u];this.loadMatchingFeature(l,r,n,f,c,a,o,s,e);}return l},Ju.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return  true;return  false},Ju.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r));}return r},oi(\"FeatureIndex\",Ju,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var eh=function(t,e){this.tileID=t,this.uid=m(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=false,this.hasRTLText=false,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\";};eh.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e);},eh.prototype.wasRequested=function(){return \"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},eh.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t;}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=false,this.buckets){var i=this.buckets[n];if(i instanceof fu){if(this.hasSymbolBuckets=true,!r)break;i.justReloaded=true;}}if(this.hasRTLText=false,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof fu&&o.hasRTLText){this.hasRTLText=true,zi.isLoading()||zi.isLoaded()||\"deferred\"!==Ii()||Pi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l));}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage);}else this.collisionBoxArray=new Aa;},eh.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\";},eh.prototype.getBucket=function(t){return this.buckets[t.id]},eh.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t);}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Eu(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=true),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Eu(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null);},eh.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture);},eh.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},eh.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=An(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,h={z:l,x:c,y:u},f=0;f<a.length;f++){var p=a.feature(f);if(o.needGeometry){var d=vo(p,true);if(!o.filter(new Oi(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new Oi(this.tileID.overscaledZ),p))continue;var m=r.getId(p,i),g=new Yu(p,l,c,u,m);g.tile=h,t.push(g);}}},eh.prototype.hasData=function(){return \"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},eh.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},eh.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"]);}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=false;if(this.expirationTime>n)i=false;else if(e)if(this.expirationTime<e)i=true;else {var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=true;}else i=true;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0;}},eh.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},eh.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)));}}}},eh.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},eh.prototype.symbolFadeFinished=function(){return !this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},eh.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0;},eh.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t;},eh.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=true;this.dependencies[t]=r;},eh.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return  true}return  false};var rh=s.performance,nh=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rh.mark(this._marks.start);};nh.prototype.finish=function(){rh.mark(this._marks.end);var t=rh.getEntriesByName(this._marks.measure);return 0===t.length&&(rh.measure(this._marks.measure,this._marks.start,this._marks.end),t=rh.getEntriesByName(this._marks.measure),rh.clearMarks(this._marks.start),rh.clearMarks(this._marks.end),rh.clearMeasures(this._marks.measure)),t},t.Actor=Lu,t.AlphaImage=Jo,t.CanonicalTileID=Vu,t.CollisionBoxArray=Aa,t.Color=ce,t.DEMData=Zu,t.DataConstantProperty=qi,t.DictionaryCoder=Wu,t.EXTENT=po,t.ErrorEvent=Dt,t.EvaluationParameters=Oi,t.Event=Ot,t.Evented=Rt,t.FeatureIndex=Ju,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=sc,t.ImagePosition=ac,t.LineBucket=ml,t.LngLat=Ou,t.LngLatBounds=Pu,t.MercatorCoordinate=Uu,t.ONE_EM=Cl,t.OverscaledTileID=Hu,t.Point=a,t.Point$1=a,t.Properties=Yi,t.Protobuf=Pl,t.RGBAImage=Ko,t.RequestManager=Z,t.RequestPerformance=nh,t.ResourceType=bt,t.SegmentVector=Da,t.SourceFeatureState=$u,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=ma,t.StructArrayLayout4i8=na,t.SymbolBucket=fu,t.Texture=Eu,t.Tile=eh,t.Transitionable=Fi,t.Uniform1f=$a,t.Uniform1i=Xa,t.Uniform2f=Ja,t.Uniform3f=Ka,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qu,t.ValidationError=Bt,t.WritingMode=lc,t.ZoomHistory=fi,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=lu,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i);}));}));},t.bezier=c,t.bindAll=v,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ft&&(t.getActor().send(\"enforceCacheSizeLimit\",ht),xt=0);},t.clamp=h,t.clearTileCache=function(t){var e=s.caches.delete(ut);t&&e.catch(t).then((function(){return t()}));},t.clipLine=Fc,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return 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t.transformed=true,t}function xt(t,e,r,n,i,a){return [Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function _t(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:false,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,bt(o,t[s],a,i);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h);}return o}function bt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if(\"Point\"===a||\"MultiPoint\"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===a)wt(o,i,t,r,false,false);else if(\"MultiLineString\"===a||\"Polygon\"===a)for(s=0;s<i.length;s++)wt(o,i[s],t,r,\"Polygon\"===a,0===s);else if(\"MultiPolygon\"===a)for(var l=0;l<i.length;l++){var c=i[l];for(s=0;s<c.length;s++)wt(o,c[s],t,r,true,0===s);}if(o.length){var u=e.tags||null;if(\"LineString\"===a&&n.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size;}var f={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(f.id=e.id),t.features.push(f);}}function wt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else {for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s;}}(s,a),t.push(s);}}function Tt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else \"Feature\"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return (i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)));}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=b(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer});}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,$,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new j(s,$,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u);}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(W(r),Y(a),W(i),Y(n));u<h.length;u+=1){var f=h[u],p=l.points[f];c.push(p.numPoints?G(p):this.points[p.index]);}return c},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],h=i.points[u];h.parentId===t&&s.push(h.numPoints?G(h):this.points[h.index]);}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id;}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?Z(l):this.points[l.index].properties},h=void 0;c?h=l.id:this.options.generateId?h=l.index:this.points[l.index].id&&(h=this.points[l.index].id),void 0!==h&&(u.id=h),a.features.push(u);}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),c=0;c<t.length;c++){var u=t[c];if(!(u.zoom<=e)){u.zoom=e;for(var h=this.trees[e+1],f=h.within(u.x,u.y,l),p=u.numPoints||1,d=p,m=0,g=f;m<g.length;m+=1){var y=g[m],v=h.points[y];v.zoom>e&&(d+=v.numPoints||1);}if(d>=s){for(var x=u.x*p,_=u.y*p,b=o&&p>1?this._map(u,true):null,w=(c<<5)+(e+1)+this.points.length,T=0,k=f;T<k.length;T+=1){var A=k[T],M=h.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,_+=M.y*S,M.parentId=w,o&&(b||(b=this._map(u,true)),o(b,this._map(M)));}}u.parentId=w,r.push(q(x/d,_/d,w,d,b));}else if(r.push(u),d>1)for(var E=0,C=f;E<C.length;E+=1){var L=C[E],I=h.points[L];I.zoom<=e||(I.zoom=e,r.push(I));}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return (t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:false,promoteId:null,generateId:false,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=kt(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=_t(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++;}if(f.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var m,g,y,v,x,_,b=.5*l.buffer/l.extent,w=.5-b,T=.5+b,k=1+b;m=g=y=v=null,x=lt(t,u,r-b,r+T,0,f.minX,f.maxX,l),_=lt(t,u,r+w,r+k,0,f.minX,f.maxX,l),t=null,x&&(m=lt(x,u,n-b,n+T,1,f.minY,f.maxY,l),g=lt(x,u,n+w,n+k,1,f.minY,f.maxY,l),x=null),_&&(y=lt(_,u,n-b,n+T,1,f.minY,f.maxY,l),v=lt(_,u,n+w,n+k,1,f.minY,f.maxY,l),_=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(v||[],e+1,2*r+1,2*n+1);}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return vt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[kt(c,u,h)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?vt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i);}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:true}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData());},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON 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i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s);}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions);}catch(a){return r(a)}e.loaded={};var c={};if(i){var u=i.finish();u&&(c.resourceTiming={},c.resourceTiming[n.source]=JSON.parse(JSON.stringify(u)));}r(null,c);}));}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData());},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else {if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:true}),e();},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId));}catch(t){e(t);}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId));}catch(t){e(t);}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset));}catch(t){e(t);}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e;},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e;};var l=false;try{var c=Object.defineProperty({},\"passive\",{get:function(){l=!0;}});t.window.addEventListener(\"test\",c,c),t.window.removeEventListener(\"test\",c,c);}catch(t){l=false;}r.addEventListener=function(t,e,r,n){ void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture);},r.removeEventListener=function(t,e,r,n){ void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture);};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",u,true);};function h(t){var e=t.userImage;return !!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),true)}r.suppressClick=function(){t.window.addEventListener(\"click\",u,true),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",u,true);}),0);},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t);};var f=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=false,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=true;}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a);}this.requestors=[];}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e);},r.prototype._validate=function(e,r){var n=true;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=false),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=false),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=false),n},r.prototype._validateStretch=function(t,e){if(!t)return  true;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return  false;r=a[1];}return  true},r.prototype._validateContent=function(t,e){return !(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=true;},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove();},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=true;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=false);}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e});},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.');}r(null,n);},r.prototype.getPixelSize=function(){var t=this.atlasImage;return {width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else {var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a};}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=false):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE);},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{width:1,height:p});}this.dirty=true;},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={};},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=true;var i=this.images[n];h(i)&&this.updateImage(n,i);}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1));}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(v(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l];}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(v(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s]);}}function v(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m;}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]];}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2);}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))));}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={};};x.prototype.setURL=function(t){this.url=t;},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l});}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else {var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=true;}for(var i=0,o=l;i<o.length;i+=1)(0, o[i])(t,e);delete a.requests[s];}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null});}));}}else e(null,{stack:r,id:i,glyph:o});}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics};}r(null,n);}}));},x.prototype._doesCharSupportLocalGlyph=function(e){return !!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o);}return {id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s;}a(null,n);}}));},x.TinySDF=p;var _=function(){this.specification=t.styleSpec.light.position;};_.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},_.prototype.interpolate=function(e,r,n){return {x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var b=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new _,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(b),this.setLight(r),this._transitioning=this._transitionable.untransitioned();}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i);}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning);},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t);},r.prototype._validate=function(e,r,n){return (!n||false!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:true,sprite:true},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={};};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=true;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c});}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(f*f+m*m);}else p=n-Math.sqrt(f*f+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128));}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1));}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h),p=l.isDash?f:-f;this.data[o+c]=Math.max(0,Math.min(255,p+128));}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l);}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=true,c},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=false,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data));};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s);}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o);}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n);}),n);},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove();})),this.actors=[],this.workerPool.release(this.id);},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24;};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=true,this.isTileClipped=true,this._loaded=false,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a);}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=false,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=true,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})));}));},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return !this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load();},r.prototype.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load();},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t;})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t;})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null);},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)));},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0);},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0);},r.prototype.hasTransition=function(){return  false},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=true,this.scheme=\"xyz\",this.tileSize=512,this._loaded=false,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]));}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=false,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=true,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})));}));},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load();},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null);},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return !this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:true}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:true}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null);}}));},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e();},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e();},r.prototype.hasTransition=function(){return  false},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\";}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return {type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=true,e.state=\"loaded\",r(null));}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)));}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID);},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:false},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:false},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:false},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:false},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:false}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:false},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:false},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:false}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id});},r}(C),I=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=true,this.reparseOverscaled=true,this._removed=false,this._loaded=false,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||false,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||false,generateId:n.generateId||false},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:false,generateId:n.generateId||false},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions);}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else {var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n));}}));},r.prototype.onAdd=function(t){this.map=t,this.load();},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else {var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n));}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=false;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=true,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t));}));},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}));},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=true;},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id});},r.prototype.onRemove=function(){this._removed=true,this.actor.send(\"removeSource\",{type:this.type,source:this.id});},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return  false},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),z=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=false,this.setEventedParent(i),this.options=r;}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=false,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=true,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading());}));},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null;})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})));},r.prototype.onAdd=function(t){this.map=t,this.load();},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y);}var c=i-r,u=a-n,h=Math.max(c,u),f=Math.max(0,Math.floor(-Math.log(h)/Math.LN2)),p=Math.pow(2,f);return new t.CanonicalTileID(f,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture);}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null));},r.prototype.serialize=function(){return {type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return  false},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=true,this.type=\"video\",this.options=r;}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=false;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url);}t.getVideo(this.urls,(function(r,n){e._loaded=true,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=true,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint();})),e.map&&e.video.play(),e._finishLoading());}));},r.prototype.pause=function(){this.video&&this.video.pause();},r.prototype.play=function(){this.video&&this.video.play();},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e;}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)));},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture);}}},r.prototype.serialize=function(){return {type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(z),D=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return !Array.isArray(t)||2!==t.length||t.some((function(t){return \"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate;}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=true,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=true,this.map.triggerRepaint();},this.pause=function(){this._playing&&(this.prepare(),this._playing=false);},this._finishLoading());},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play();},r.prototype.onRemove=function(){this.pause();},r.prototype.prepare=function(){var e=false;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=true),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=true),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:true}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:true}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture);}}},r.prototype.serialize=function(){return {type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return  true}return  false},r}(z),R={vector:E,raster:C,\"raster-dem\":L,geojson:I,video:O,image:z,canvas:D};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return  true}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return  true}return  false}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var c=[],u=0,h=l;u<h.length;u+=1){var f=h[u];c.push({wrappedTileID:f.tileID.wrapped().key,queryResults:f.tile.queryRenderedFeatures(e,r,t._state,f.queryGeometry,f.cameraQueryGeometry,f.scale,i,a,s,F(t.transform,f.tileID))});}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var 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Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r;};Mt.ReadOnly=false,Mt.ReadWrite=true,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a;};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Ct=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r;};Ct.Replace=[1,0],Ct.disabled=new Ct(Ct.Replace,t.Color.transparent,[false,false,false,false]),Ct.unblended=new Ct(Ct.Replace,t.Color.transparent,[true,true,true,true]),Ct.alphaBlended=new Ct([1,771],t.Color.transparent,[true,true,true,true]);var Lt=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r;};Lt.disabled=new Lt(false,1029,2305),Lt.backCCW=new Lt(true,1029,2305);var It=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new Z(this),this.clearStencil=new W(this),this.colorMask=new Y(this),this.depthMask=new X(this),this.stencilMask=new $(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ct(this),this.program=new ut(this),this.activeTexture=new ht(this),this.viewport=new ft(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new mt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new _t(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE);};It.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault();},It.prototype.setDirty=function(){this.clearColor.dirty=true,this.clearDepth.dirty=true,this.clearStencil.dirty=true,this.colorMask.dirty=true,this.depthMask.dirty=true,this.stencilMask.dirty=true,this.stencilFunc.dirty=true,this.stencilOp.dirty=true,this.stencilTest.dirty=true,this.depthRange.dirty=true,this.depthTest.dirty=true,this.depthFunc.dirty=true,this.blend.dirty=true,this.blendFunc.dirty=true,this.blendColor.dirty=true,this.blendEquation.dirty=true,this.cullFace.dirty=true,this.cullFaceSide.dirty=true,this.frontFace.dirty=true,this.program.dirty=true,this.activeTexture.dirty=true,this.viewport.dirty=true,this.bindFramebuffer.dirty=true,this.bindRenderbuffer.dirty=true,this.bindTexture.dirty=true,this.bindVertexBuffer.dirty=true,this.bindElementBuffer.dirty=true,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=true),this.pixelStoreUnpack.dirty=true,this.pixelStoreUnpackPremultiplyAlpha.dirty=true,this.pixelStoreUnpackFlipY.dirty=true;},It.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},It.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},It.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},It.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},It.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([true,true,true,true])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(true)),n.clear(i);},It.prototype.setCullFace=function(t){ false===t.enable?this.cullFace.set(false):(this.cullFace.set(true),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace));},It.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(true),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(false);},It.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(true),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(false);},It.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Ct.Replace)?this.blend.set(false):(this.blend.set(true),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask);},It.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null);};var Pt=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=true),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform));})),this.on(\"error\",(function(){a._sourceErrored=true;})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState;}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t);},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t);},r.prototype.loaded=function(){if(this._sourceErrored)return  true;if(!this._sourceLoaded)return  false;if(!this._source.loaded())return  false;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return  false}return  true},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=true;},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=false,this._shouldReloadOnResume=false,t&&this.reload(),this.transform&&this.update(this.transform);}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager);}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(zt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(zt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return !!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=true;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\");},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)));},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=true),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}));},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t);}}function a(t,e){t.needsHillshadePrepare=true;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=true)));}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s);}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n);},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a;}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l);}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Ot(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d;}}for(var y in this._retainLoadedChildren(u,a,s,l),c)l[y]||(this._coveredTiles[y]=true,l[y]=c[y]);}for(var v in l)this._tiles[v].clearFadeHold();for(var x=0,_=t.keysDifference(this._tiles,l);x<_.length;x+=1){var b=_[x],w=this._tiles[b];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(b);}this._updateLoadedParentTileCache();}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t);},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u);}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else {var v=d.children(this._source.maxzoom);if(n[v[0].key]&&n[v[1].key]&&n[v[2].key]&&n[v[3].key])continue}for(var x=m.wasRequested(),_=d.overscaledZ-1;_>=a;--_){var b=d.scaledTo(_);if(i[b.key])break;if(i[b.key]=true,!(m=this.getTile(b))&&x&&(m=this._addTile(b)),m&&(n[b.key]=b,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i;}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r;}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t];}),n));},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=true,this._abortTile(e),this._unloadTile(e))));},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=false,this._paused=false,this._tiles)this._removeTile(t);this._cache.reset();},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var y=g[m];h=Math.min(h,y.x),f=Math.min(f,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y);}for(var v=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,y=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var v=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:v,cameraQueryGeometry:x,scale:m});}}},x=0;x<u.length;x++)v(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped());}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return  true;if(Ot(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return  true}return  false},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r);},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r);},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r);},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return !r.hasDependency(t,e)}));},r}(t.Evented);function zt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Ot(t){return \"raster\"===t||\"image\"===t||\"video\"===t}function Dt(){return new t.window.Worker(oa.workerUrl)}Pt.maxOverzooming=10,Pt.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={};};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new Dt);return this.active[t]=true,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate();})),this.workers=null);},Ft.prototype.isPreloaded=function(){return !!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t]);})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]});}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=true;}function Zt(t,e,r,n){Gt(t,r,n),Ht(t,e,r);}function Wt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return  false;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return  false;return  true}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));}function Xt(t){return t.id}function $t(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return [{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return [{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Wt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):Ht(a,r,n));}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t);})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,h=(e=e||[]).map(Xt),f=r.map(Xt),p=e.reduce($t,{}),d=r.reduce($t,{}),m=h.slice(),g=Object.create(null);for(i=0,a=0;i<h.length;i++)o=h[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<f.length;i++)o=f[f.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:qt.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<f.length;i++)if(s=p[o=f[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),qt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:qt.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),qt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:qt.setLayerProperty,args:[o,u,l[u]]}));}else n.push({command:qt.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,c]});}(o,r.layers,n);}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.setStyle,args:[r]}];}return n}var Kt=function(t,e){this.reset(t,e);};Kt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding;},Kt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0;};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return {point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return .5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=false,y=0;y<d.length;y++){var v=d.get(y);if(v.hidden||v.writingMode===t.WritingMode.vertical&&!g)fe(v.numGlyphs,f);else {g=false;var x=[v.anchorX,v.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,h)){var _=x[3],b=ne(n.transform.cameraToCenterDistance,_),w=t.evaluateSizeForFeature(c,u,v),T=s?w/b:w*b,k=new t.Point(v.anchorX,v.anchorY),A=re(k,a).point,M={},S=le(v,T,false,l,r,a,o,e.glyphOffsetArray,p,f,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(v,T,true,l,r,a,o,e.glyphOffsetArray,p,f,A,k,M,m).notEnoughRoom)&&fe(v.numGlyphs,f);}else fe(v.numGlyphs,f);}}i?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f);}function oe(t,e,r,n,i,a,o,s,l,c,u){var h=s.glyphStartIndex+s.numGlyphs,f=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(h-1),g=ue(t*d,r,n,i,a,o,s.segment,f,p,l,c,u);if(!g)return null;var y=ue(t*m,r,n,i,a,o,s.segment,f,p,l,c,u);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:true}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:true}:null}function le(e,r,n,i,a,o,s,l,c,u,h,f,p,d){var m,g=r/24,y=e.lineOffsetX*g,v=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,_=e.lineStartIndex,b=e.lineStartIndex+e.lineLength,w=oe(g,l,y,v,n,h,f,e,c,o,p);if(!w)return {notEnoughRoom:true};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(ue(g*l.getoffsetX(M),y,v,n,h,f,e.segment,_,b,c,o,p));m.push(w.last);}else {if(i&&!n){var S=re(f,a).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=re(C,a),I=L.signedDistanceFromCamera>0?L.point:ce(f,C,S,1,a),P=se(e.writingMode,S,I,d);if(P)return P}var z=ue(g*l.getoffsetX(e.glyphStartIndex),y,v,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!z)return {notEnoughRoom:true};m=[z];}for(var O=0,D=m;O<D.length;O+=1){var R=D[O];t.addDynamicAttributes(u,R.point,R.angle);}return {}}function ce(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ue(e,r,n,i,a,o,s,l,c,u,h,f){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,v=a,x=0,_=0,b=Math.abs(p),w=[];x+_<=b;){if((g+=d)<l||g>=c)return null;if(v=y,w.push(y),void 0===(y=f[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=re(T,h);if(k.signedDistanceFromCamera>0)y=f[g]=k.point;else {var A=g-d;y=ce(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,v,b-x+1,h);}}x+=_,_=v.dist(y);}var M=(b-x)/_,S=y.sub(v),E=S.mult(M)._add(v);E._add(S._unit()._perp()._mult(n*d));var C=m+Math.atan2(y.y-v.y,y.x-v.x);return w.push(E),{point:E,angle:C,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i);},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n);},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a);},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a);},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return !i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return  true;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h});}return a?o.filter(a):o}var f={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,f,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return !n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,false,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,true,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,true,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=true;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(true),true;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]});}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,y=0,v=m;y<v.length;y+=1){var x=v[y];if(!l.circle[x]){l.circle[x]=true;var _=3*x;if(this._circleAndRectCollide(g[_],g[_+1],g[_+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(true),true;var b=g[_],w=g[_+1],T=g[_+2];a.push({key:this.circleKeys[x],x1:b-T,y1:w-T,x2:b+T,y2:w+T});}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=true;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[m+0],h[m+1],h[m+2],h[m+3])&&(!s||s(this.boxKeys[d])))return a.push(true),true}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,v=0,x=g;v<x.length;v+=1){var _=x[v];if(!c.circle[_]){c.circle[_]=true;var b=3*_;if(this._circlesCollide(y[b],y[b+1],y[b+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[_])))return a.push(true),true}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.xCellCount*p+f;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return  false;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return  false;if(l<=s||u<=c)return  true;var h=l-s,f=u-c;return h*h+f*f<=r*r};var he=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function fe(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(he,3*n);}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,me=function(t,e,r){ void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200;};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}me.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return !this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:false}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},me.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,h,f,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=re(m,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),v=(u?a/y:a*y)/t.ONE_EM,x=re(m,s).point,_=oe(v,i,r.lineOffsetX*v,r.lineOffsetY*v,false,x,m,r,n,s,{}),b=false,w=false,T=true;if(_){for(var k=.5*f*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Kt,E=_.first,C=_.last,L=[],I=E.path.length-1;I>=1;I--)L.push(E.path[I]);for(var P=1;P<C.path.length;P++)L.push(C.path[P]);var z=2.5*k;if(l){var O=L.map((function(t){return re(t,l)}));L=O.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:O.map((function(t){return t.point}));}var D=[];if(L.length>0){for(var R=L[0].clone(),F=L[0].clone(),B=1;B<L.length;B++)R.x=Math.min(R.x,L[B].x),R.y=Math.min(R.y,L[B].y),F.x=Math.max(F.x,L[B].x),F.y=Math.max(F.y,L[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[L]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([L],A.x,A.y,M.x,M.y);}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/z)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),Z=G.x+de,W=G.y+de;d.push(Z,W,k,0);var Y=Z-k,X=W-k,$=Z+k,J=W+k;if(T=T&&this.isOffscreen(Y,X,$,J),w=w||this.isInsideGrid(Y,X,$,J),!e&&this.grid.hitTestCircle(Z,W,k,h)&&(b=true,!c))return {circles:[],offscreen:false,collisionDetected:b}}}}return {circles:!c&&b||!w?[]:d,offscreen:T,collisionDetected:b}},me.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return {};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+de,c.y+de);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u);}for(var h={},f={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]={}),!h[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,y)&&(h[g.bucketInstanceId][g.featureIndex]=true,void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]=[]),f[g.bucketInstanceId].push(g.featureIndex));}}return f},me.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3]);},me.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2]);},me.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},me.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},me.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},me.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r;};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var ve=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i);};ve.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r;},_e=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[];},be=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i;},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={};};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}we.prototype.get=function(t){if(this.crossSourceCollisions)return {ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}};}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new me(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=false,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={};};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0);}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),f=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),m=te(h,f,p,this.transform,d),g=null;if(f){var y=ee(h,f,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y);}this.retainedQueryData[a.bucketInstanceId]=new be(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var v={bucket:a,layout:l,posMatrix:h,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,_=a.sortKeyRanges;x<_.length;x+=1){var b=_[x],w=b.sortKey,T=b.symbolInstanceStart,k=b.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:v});}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:v});}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d){var m,g=[h.textOffset0,h.textOffset1],y=Te(t,r,n,g,i),v=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),u,s,l,c.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return v.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID].text&&(m=this.prevPlacement.variableOffsets[h.crossTileID].anchor),this.variableOffsets[h.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(f,t,h,p),f.allowVerticalPlacement&&(this.markUsedOrientation(f,p,h),this.placedOrientations[h.crossTileID]=p),{shift:y,placedGlyphBoxes:v}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,h=a.textPixelRatio,f=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),v=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),_=\"map\"===s.get(\"text-rotation-alignment\"),b=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=v&&(x||!o.hasIconData()||y),A=x&&(v||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(f)i.placements[e.crossTileID]=new xe(false,false,false);else {var p,T=false,M=false,S=true,E=null,C={box:null,offscreen:null},L={box:null,offscreen:null},I=null,P=null,z=0,O=0,D=0;a.textFeatureIndex?z=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(z=e.featureIndex),a.verticalTextFeatureIndex&&(O=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e));}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(C=n(),L=C):C=r(),!(C&&C.box&&C.box.length));i+=1);else C=r();};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor);}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,f={box:[],offscreen:false},p=v?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,_,b,h,l,m,y,e,o,n,u);if(k&&(f=k.placedGlyphBoxes)&&f.box&&f.box.length){T=true,E=k.shift;break}}return f};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=C&&C.box&&C.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(T=C.box,S=C.offscreen);var V=F(C&&C.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V));}}else {var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,v,h,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(C&&C.box&&C.box.length);}}if(T=(p=C)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),Y=e.collisionCircleDiameter;I=i.collisionIndex.placeCollisionCircles(v,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,c,u,n,b,m.predicate,Y,W),T=v||I.circles.length>0&&!I.collisionDetected,S=S&&I.offscreen;}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,_,b,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,h,l,m.predicate)};M=L&&L.box&&L.box.length&&a.verticalIconBox?(P=X(a.verticalIconBox)).box.length>0:(P=X(a.iconBox)).box.length>0,S=S&&P.offscreen;}var $=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if($||J?J?$||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(L&&L.box&&O?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID)),M&&P&&i.collisionIndex.insertCollisionBox(P.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),I&&(T&&i.collisionIndex.insertCollisionCircles(I.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID),n)){var K=o.bucketInstanceId,Q=i.collisionCircleArrays[K];void 0===Q&&(Q=i.collisionCircleArrays[K]=new _e);for(var tt=0;tt<I.circles.length;tt+=4)Q.circles.push(I.circles[tt+0]),Q.circles.push(I.circles[tt+1]),Q.circles.push(I.circles[tt+2]),Q.circles.push(I.collisionDetected?1:0);}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=true;}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var C=S[E];M(o.symbolInstances.get(C),o.collisionArrays[C]);}else for(var L=e.symbolInstanceStart;L<e.symbolInstanceEnd;L++)M(o.symbolInstances.get(L),o.collisionArrays[L]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var I=this.collisionCircleArrays[o.bucketInstanceId];t.invert(I.invProjMatrix,l),I.viewportMatrix=this.collisionIndex.getViewportMatrix();}o.justReloaded=false;},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID);}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i;}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a);},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=false;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new ve(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new ve(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon);}for(var u in i){var h=i[u];if(!this.opacities[u]){var f=new ve(h,n,false,false);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed);}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t);},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray);}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new ve(null,0,false,false,true),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),h=\"map\"===a.get(\"text-pitch-alignment\"),f=\"none\"!==a.get(\"icon-text-fit\"),p=new ve(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),true);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r);},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],y=i.opacities[m];g?y=o:y||(y=p,i.opacities[m]=y),r[m]=true;var v=s>0||l>0,x=a.numIconVertices>0,_=i.placedOrientations[a.crossTileID],b=_===t.WritingMode.vertical,w=_===t.WritingMode.horizontal||_===t.WritingMode.horizontalOnly;if(v){var T=Oe(y.text),k=b?De:T;d(e.text,s,k);var A=w?De:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||b?1:0);})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,_);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a));}if(x){var C=Oe(y.icon),L=!(f&&a.verticalPlacedIconSymbolIndex&&b);if(a.placedIconSymbolIndex>=0){var I=L?C:De;d(e.icon,a.numIconVertices,I),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden();}if(a.verticalPlacedIconSymbolIndex>=0){var P=L?De:C;d(e.icon,a.numVerticalIconVertices,P),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden();}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var z=e.collisionArrays[n];if(z){var O=new t.Point(0,0);if(z.textBox||z.verticalTextBox){var D=true;if(c){var R=i.variableOffsets[m];R?(O=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&O._rotate(h?i.transform.angle:-i.transform.angle)):D=false;}z.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||b,O.x,O.y),z.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||w,O.x,O.y);}var F=Boolean(!w&&z.verticalIconBox);z.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,f?O.x:0,f?O.y:0),z.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,f?O.x:0,f?O.y:0);}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId];}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=true;};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Ce=Math.pow(2,17),Le=Math.pow(2,16),Ie=Math.pow(2,9),Pe=Math.pow(2,8),ze=Math.pow(2,1);function Oe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Ce+e*Le+r*Ie+e*Pe+r*ze+e}var De=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[];};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return  true}for(this._sortAcrossTiles&&(this._sortAcrossTiles=false,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return  true}return  false};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=false;};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return !i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer;}this._currentPlacementIndex--;}this._done=true;},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)});}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return {x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=true,a.crossTileID=u.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0;};je.prototype.generate=function(){return ++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0;};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o;}this.indexes[r]=i;}this.lng=t;},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return  false;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key]);}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i);}else {var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i);}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),i[h.crossTileID]=true);}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),true},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID];}},Ue.prototype.removeStaleBuckets=function(t){var e=false;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=true);}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={};};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=false,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=true),a[c.bucketInstanceId]=true);}return n.removeStaleBuckets(a)&&(i=true),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=true;})),this.layerIndexes)e[r]||delete this.layerIndexes[r];};var qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return \"source.canvas\"!==t.identifier})))},He=t.pick(qt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(qt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a);}}return e}(),We=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=false,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload();}));})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i);}}}}));}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i);}));},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,false!==r.validate);}));},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ze,false);},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=true,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:false});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(true),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize();}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"));}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u());})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u());}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,y=l.content,v=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,v,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:v,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:y};}n(null,r);}}return {cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null);}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(true),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}));}));},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')));}}},r.prototype.loaded=function(){if(!this._loaded)return  false;if(Object.keys(this._updatedSources).length)return  false;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return  false;return !!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize());}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return  true;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return  true;for(var e in this._layers)if(this._layers[e].hasTransition())return  true;return  false},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in (n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a);}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates();}var l={};for(var c in this.sourceCaches){var u=this.sourceCaches[c];l[c]=u.used,u.used=false;}for(var h=0,f=this._order;h<f.length;h+=1){var p=f[h],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=true);}for(var m in l){var g=this.sourceCaches[m];l[m]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:m}));}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}));}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={};}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e});},r.prototype._resetUpdates=function(){this._changed=false,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={};},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),qe(this,t.validateStyle(e)))return  false;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return !(t.command in Ge)}));if(0===n.length)return  false;var i=n.filter((function(t){return !(t.command in He)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args);})),this.stylesheet=e,true},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._afterImageUpdated(e);},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e);},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._afterImageUpdated(e);},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=true,this._changed=true,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new t.Event(\"data\",{dataType:\"style\"}));},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=true);var a=this.sourceCaches[e]=new Pt(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return {isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=true;}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=true;},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=true;},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){ void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else {var a;if(\"custom\"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e);}else {if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize();}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else {if(this._order.splice(o,0,i),this._layerOrderChanged=true,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause());}this._updateLayer(a),a.onAdd&&a.onAdd(this.map);}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=true,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=true);}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")));},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=true,this._changed=true,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map);}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")));},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")));},r.prototype.setFilter=function(e,r,n){ void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")));},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){ void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")));},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")));},r.prototype.setPaintProperty=function(e,r,n,i){ void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=true,this._updatedPaintProps[e]=true):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")));},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")));},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")));},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")));},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=true,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=true;},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return \"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1){var f=h[u];i.push(f);}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop();}else for(var v=0,x=t;v<x.length;v+=1){var _=x[v][m];if(_)for(var b=0,w=_;b<w.length;b+=1){var T=w[b];p.push(T.feature);}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=true;}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(B(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,h=Object.keys(l).map(Number);u<h.length;u+=1){var f=h[u];c.push(o[f]);}c.sort(N);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,h=c;u<h.length;u+=1){var f=h[u];o.push(f);}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o;}));};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=true,o.querySourceFeatures(n,e));}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){ void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=false;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=true;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o);}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||false!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove();},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles();},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload();},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t);},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t);},r.prototype._updatePlacement=function(e,r,n,i,a){ void 0===a&&(a=false);for(var o=false,s=false,l={},c=0,u=this._order;c<u.length;c+=1){var h=u[c],f=this._layers[h];if(\"symbol\"===f.type){if(!l[f.source]){var p=this.sourceCaches[f.source];l[f.source]=p.getRenderableIds(true).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}));}var d=this.crossTileSymbolIndex.addLayer(f,l[f.source],e.center.lng);o=o||d;}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=false),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=true),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var y=g[m],v=this._layers[y];\"symbol\"===v.type&&this.placement.updateLayerOpacities(v,l[v.source]);}return !this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles();},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons);},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r);},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);We.getSourceType=function(t){return R[t]},We.setSourceType=function(t,e){R[t]=e;},We.registerForPluginStateChange=t.registerForPluginStateChange;var Ye=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Xe=br(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),$e=br(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=br(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ke=br(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=br(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=br(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=br(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=br(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=br(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=br(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=br(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=br(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=br(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=br(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),cr=br(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),ur=br(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),hr=br(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),fr=br(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=br(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=br(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),mr=br(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=br(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=br(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),vr=br(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=br(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),_r=br(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function br(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return {fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=true,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:$e,backgroundPattern:Je,circle:Ke,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:cr,fillExtrusionPattern:ur,hillshadePrepare:hr,hillshade:fr,line:pr,lineGradient:dr,linePattern:mr,lineSDF:gr,raster:yr,symbolIcon:vr,symbolSDF:xr,symbolTextAndIcon:_r}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null;};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(\" \");e.push(n.pop());}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=true);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind());},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else {s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h);}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i);}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l;},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null);};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],c=s.concat(l),u=r.staticUniforms?kr(r.staticUniforms):[],h=n?n.getBinderUniforms():[],f=[],p=0,d=u.concat(h);p<d.length;p+=1){var m=d[p];f.indexOf(m)<0&&f.push(m);}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Xe.fragmentSource,r.fragmentSource).join(\"\\n\"),v=g.concat(Xe.vertexSource,r.vertexSource).join(\"\\n\"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=true;else {o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var _=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=true;else {o.shaderSource(_,v),o.compileShader(_),o.attachShader(this.program,_),this.attributes={};var b={};this.numAttributes=c.length;for(var w=0;w<this.numAttributes;w++)c[w]&&(o.bindAttribLocation(this.program,w,c[w]),this.attributes[c[w]]=w);o.linkProgram(this.program),o.deleteShader(_),o.deleteShader(x);for(var T=0;T<f.length;T++){var k=f[T];if(k&&!b[k]){var A=o.getUniformLocation(this.program,k);A&&(b[k]=A);}}this.fixedUniforms=i(t,b),this.binderUniforms=n?n.getUniforms(t,b):[];}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return {u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m){var g,y=t.gl;if(!this.failedToCreate){for(var v in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[v].set(o[v]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],_=0,b=u.get();_<b.length;_+=1){var w=b[_],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2);}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return {u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Cr=function(t){return {u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Cr(e),Mr(n,r,i))},Ir=function(t,e){return {u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},zr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=true,o=[l,l];}else a=false,o=s.pixelsToGLUnits;return {u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Or=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return {u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return {u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return {u_matrix:t}},Br=function(t,e,r,n){return {u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return {u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},jr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,c,u,h=!e.options.moving;return {u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),h),u_image:0,u_latrange:(l=r.tileID,c=Math.pow(2,l.canonical.z),u=l.canonical.y,[new t.MercatorCoordinate(0,u/c).toLngLat().lat,new t.MercatorCoordinate(0,(u+1)/c).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return {u_matrix:Wr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Zr(r,a);return {u_matrix:Wr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Zr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),h=s.getDash(i.to,c),f=u.width*a.fromScale,p=h.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/f,-u.height/2],u_patternscale_b:[l/p,-h.height/2],u_sdfgamma:s.width/(256*Math.min(f,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:h.y,u_mix:a.t})};function Zr(t,e){return 1/ge(t,1,e.tileZoom)}function Wr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Yr=function(t,e,r,n,i){return {u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Xr(i.paint.get(\"raster-hue-rotate\"))};var a,o;};function Xr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return [(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var $r,Jr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return {u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,c,u,h){var f=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:1})},Qr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Kr(e,r,n,i,a,o,s,l,true,c),{u_texsize_icon:u,u_texture_icon:1})},tn=function(t,e,r){return {u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return {u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return {u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return {u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return {u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return {u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return {u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return {u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return {u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return {u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return {u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return {u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return {u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return {u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return {u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return {u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return {u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return {u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return {u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return {u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return {u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return {u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return {u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return {u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return {u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return {u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return {u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),h=[],f=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),y=g.getBucket(n);if(y){var v=m.posMatrix;0===a[0]&&0===a[1]||(v=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,_=y.collisionCircleArray;if(_.length>0){var b=t.create(),w=v;t.mul(b,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(b,b,y.placementViewportMatrix),h.push({circleArray:_,circleOffset:p,transform:w,invTransform:b}),p=f+=_.length/4;}x&&u.draw(l,c.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.disabled,Or(v,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer);}}if(s&&h.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*f),k._trim();for(var A=0,M=0,S=h;M<S.length;M+=1)for(var E=S[M],C=0;C<E.circleArray.length/4;C++){var L=4*C,I=E.circleArray[L+0],P=E.circleArray[L+1],z=E.circleArray[L+2],O=E.circleArray[L+3];k.emplace(A++,I,P,z,O,0),k.emplace(A++,I,P,z,O,1),k.emplace(A++,I,P,z,O,2),k.emplace(A++,I,P,z,O,3);}(!$r||$r.length<2*f)&&($r=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0;}return n}(f));for(var D=l.createIndexBuffer($r,true),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,true),F=0,B=h;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null);}R.destroy(),D.destroy();}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function sn(e,r,n,i,a,o,s,l,c,u,h){var f=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<f.length;g++){var y=f.get(g),v=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||v?null:i[y.crossTileID];if(x){var _=new t.Point(y.anchorX,y.anchorY),b=re(_,n?l:s),w=ne(o.cameraToCenterDistance,b.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(_.add(M),s).point:b.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,C=0;C<y.numGlyphs;C++)t.addDynamicAttributes(p,S,E);h&&y.associatedIconIndex>=0&&(m[y.associatedIconIndex]={shiftedAnchor:S,angle:E});}else fe(y.numGlyphs,p);}if(h){d.clear();for(var L=e.icon.placedSymbolArray,I=0;I<L.length;I++){var P=L.get(I);if(P.hidden)fe(P.numGlyphs,d);else {var z=m[I];if(z)for(var O=0;O<P.numGlyphs;O++)t.addDynamicAttributes(d,z.shiftedAnchor,z.angle);else fe(P.numGlyphs,d);}}e.icon.dynamicLayoutVertexBuffer.updateData(d);}e.text.dynamicLayoutVertexBuffer.updateData(p);}function ln(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function cn(e,r,n,i,a,o,s,l,c,u,h,f){for(var p=e.context,d=p.gl,m=e.transform,g=\"map\"===l,y=\"map\"===c,v=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!v,_=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),b=false,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get(\"text-variable-anchor\"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),C=E.getBucket(n);if(C){var L=a?C.text:C.icon;if(L&&L.segments.get().length){var I=L.programConfigurations.get(n.id),P=a||C.sdfIcons,z=a?C.textSizeData:C.iconSizeData,O=y||0!==m.pitch,D=e.useProgram(ln(P,a,C),I),R=t.evaluateSizeForZoom(z,m.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,C.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===z.kind||\"camera\"===z.kind;V=O||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST;}}else {var H=1!==n.layout.get(\"icon-size\").constantOr(0)||C.iconsNeedLinear;N=E.imageAtlasTexture,j=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size;}var G=ge(E,1,e.transform.zoom),Z=te(S.posMatrix,y,g,e.transform,G),W=ee(S.posMatrix,y,g,e.transform,G),Y=T&&C.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&C.hasIconData();v&&ae(C,S.posMatrix,e,a,Z,W,y,u);var $=e.translatePosMatrix(S.posMatrix,E,o,s),J=v||a&&T||X?an:Z,K=e.translatePosMatrix(W,E,o,s,true),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:D,buffers:L,uniformValues:P?C.iconsInText?Qr(z.kind,R,x,y,e,$,J,K,F,B):Kr(z.kind,R,x,y,e,$,J,K,a,F):Jr(z.kind,R,x,y,e,$,J,K,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:P,hasHalo:Q};if(_&&C.canOverlap){b=true;for(var et=0,rt=L.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt});}}else k.push({segments:L.segments,sortKey:0,state:tt});}}}b&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,un(st.buffers,ot.segments,n,e,st.program,w,h,f,lt)),lt.u_is_halo=0;}un(st.buffers,ot.segments,n,e,st.program,w,h,f,st.uniformValues);}}function un(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Lt.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer);}function hn(t,e,r,n,i,a,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var v=y[g],x=e.getTile(v);if(!d||x.patternsLoaded()){var _=x.getBucket(r);if(_){var b=_.programConfigurations.get(r.id),w=t.useProgram(l,b);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),b.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&b.setConstantPatternPositions(A,M);}var S=t.translatePosMatrix(v.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=_.indexBuffer2,h=_.segments2;var E=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Pr(S,t,m,x,E):Ir(S,E);}else u=_.indexBuffer,h=_.segments,c=d?Lr(S,t,m,x):Cr(S);w.draw(t.context,s,i,t.stencilModeForClipping(v),a,Lt.disabled,c,r.id,_.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,b);}}}}function fn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),y=g.getBucket(r);if(y){var v=y.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",v);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),v.updatePaintBuffers(h));var _=c.constantOr(null);if(_&&g.imageAtlas){var b=g.imageAtlas,w=b.patternPositions[_.to.toString()],T=b.patternPositions[_.from.toString()];w&&T&&v.setConstantPatternPositions(w,T);}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?Er(k,t,A,f,m,h,g):Sr(k,t,A,f);x.draw(s,s.gl.TRIANGLES,i,a,o,Lt.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,v);}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=jr(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Lt.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments);}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,c=r.dem;if(c&&c.data){var u=c.dim,h=c.stride,f=c.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(false),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var p=r.demTexture;p.update(f,{premultiply:false}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE);}else r.demTexture=new t.Texture(s,f,l.RGBA,{premultiply:false}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var m=new t.Texture(s,{width:u,height:u,data:null},l.RGBA);m.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(u,u,true)).colorAttachment.set(m.texture);}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,u,u]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Lt.disabled,Ur(r.tileID,c),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=false;}}function mn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=false),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return {opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),vn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),_n=new t.Color(0,1,1,1);function bn(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,vn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n);}(t,r.x,t.transform.height-r.y,_n);}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n);}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n);}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST);}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,c=Et.disabled,u=e.colorModeForRenderPass(),h=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Lt.disabled,Rr(o,t.Color.red),h,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,p=f&&f.byteLength||0,d=Math.floor(p/1024),m=r.getTile(n).tileSize,g=512/Math.min(m,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE);}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,c,Ct.alphaBlended,Lt.disabled,Rr(o,t.Color.transparent,g),h,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments);}var Mn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,h=0,f=e;h<f.length;h+=1){var p=f[h],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),v=ge(d,1,r.transform.zoom),x=te(p.posMatrix,u,c,r.transform,v),_=\"none\"!==n.layout.get(\"icon-text-fit\")&&m.hasIconData();if(y){var b=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,b,y,_);}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&cn(e,r,n,i,false,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&cn(e,r,n,i,true,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(nn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),true),nn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),false));}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=Et.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],y=r.getTile(g),v=y.getBucket(n);if(v){var x=v.programConfigurations.get(n.id),_={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:v.layoutVertexBuffer,indexBuffer:v.indexBuffer,uniformValues:zr(e,g,y,n)};if(l)for(var b=0,w=v.segments.get();b<w.length;b+=1){var T=w[b];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:_});}else d.push({segments:v.segments,sortKey:0,state:_});}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,C=S.program,L=S.layoutVertexBuffer,I=S.indexBuffer,P=S.uniformValues,z=M.segments;C.draw(c,u.TRIANGLES,h,f,p,Lt.disabled,P,n.id,L,I,z,n.paint,e.transform.zoom,E);}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Ct([o.ONE,o.ONE],t.Color.transparent,[true,true,true,true]);((function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else {var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,false),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r);}(t,e,a,i);}}))(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var h=r.getTile(u),f=h.getBucket(n);if(f){var p=f.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Lt.disabled,Br(u.posMatrix,h,m,n.paint.get(\"heatmap-intensity\")),n.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,n.paint,e.transform.zoom,p);}}}a.viewport.set([0,0,e.width,e.height]);}else \"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.disabled,Nr(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom);}}(e,n));},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1))for(var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",m=e.context,g=m.gl,y=true,v=0,x=i;v<x.length;v+=1){var _=x[v],b=r.getTile(_);if(!h||b.patternsLoaded()){var w=b.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=u.constantOr(null);if(S&&b.imageAtlas){var E=b.imageAtlas,C=E.patternPositions[S.to.toString()],L=E.patternPositions[S.from.toString()];C&&L&&T.setConstantPatternPositions(C,L);}var I=h?Hr(e,b,n,p):c?Gr(e,b,n,c,p):f?qr(e,b,n,w.lineClipsArray.length):Vr(e,b,n);if(h)m.activeTexture.set(g.TEXTURE0),b.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(c&&(M||e.lineAtlas.dirty))m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m);else if(f){var P=w.gradients[n.id],z=P.texture;if(n.gradientVersion!==P.version){var O=256;if(n.stepInterpolant){var D=r.getSource().maxzoom,R=_.canonical.z===D?Math.ceil(1<<e.transform.maxZoom-_.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;O=t.clamp(t.nextPowerOfTwo(F),256,m.maxTextureSize);}P.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:O,image:P.gradient||void 0,clips:w.lineClipsArray}),P.texture?P.texture.update(P.gradient):P.texture=new t.Texture(m,P.gradient,g.RGBA),P.version=n.gradientVersion,z=P.texture;}m.activeTexture.set(g.TEXTURE0),z.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE);}A.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Lt.disabled,I,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=false;}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);hn(e,r,n,i,u,s,false);}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var h=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);hn(e,r,n,i,h,s,true);}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))fn(t,e,r,n,a,Et.disabled,Ct.disabled),fn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else {var o=t.colorModeForRenderPass();fn(t,e,r,n,a,Et.disabled,o);}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],c=0,u=s[1];c<u.length;c+=1){var h=u[c],f=e.getTile(h);f.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,f,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,f,r,a,l[h.overscaledZ],o);}i.viewport.set([0,0,t.width,t.height]);}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof z?[{},n]:t.stencilConfigForOverlap(n),u=c[0],h=c[1],f=h[h.length-1].overscaledZ,p=!t.options.moving,d=0,m=h;d<m.length;d+=1){var g=m[d],y=t.depthModeForSublayer(g.overscaledZ-f,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),v=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);v.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var _=e.findLoadedParent(g,0),b=mn(v,_,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),v.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),_?(_.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,_.tileID.overscaledZ-v.tileID.overscaledZ),T=[v.tileID.canonical.x*w%1,v.tileID.canonical.y*w%1]):v.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Yr(x,T||[0,0],w||1,b,r);o instanceof z?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Lt.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,u[g.overscaledZ],l,Lt.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments);}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=Et.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,v=m;y<v.length;y+=1){var x=v[y],_=t.transform.calculatePosMatrix(x.toUnwrapped()),b=c?en(_,i,t,c,{tileID:x,tileSize:l},g):tn(_,i,n);d.draw(a,o.TRIANGLES,f,h,p,Lt.disabled,b,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments);}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n]);},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState());}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null);}}},Sn=function(t,e){this.context=new It(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Pt.maxUnderzooming+Pt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={};};Sn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize();}},Sn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ye.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ye.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ye.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO);},Sn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Ct.disabled,Lt.disabled,Fr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments);},Sn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Ct.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Ct.disabled,Lt.disabled,Fr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments);}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return [(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Ct([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[true,true,true,true])}return \"opaque\"===this.renderPass?Ct.unblended:Ct.alphaBlended},Sn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context);}var l,c,u={},h={},f={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),h[p]=u[p].slice().reverse(),f[p]=d.getVisibleCoordinates(true).reverse();}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass=\"offscreen\";for(var y=0,v=i;y<v.length;y+=1){var x=v[y],_=this.style._layers[x];if(_.hasOffscreenPass()&&!_.isHidden(this.transform.zoom)){var b=h[_.source];(\"custom\"===_.type||b.length)&&this.renderLayer(this,a[_.source],_,b);}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k);}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?f:h)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S);}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c));})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&bn(this),this.context.setDefault();},Sn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd());},Sn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query);}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT);}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a;}return e},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l];}var c=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t];},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return  false;if(!t.from||!t.to)return  true;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return !e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault();},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(false),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD);},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA);}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy();};var En=function(t,e){this.points=t,this.planes=e;};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Cn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5);};Cn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Cn(n,i)},Cn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Cn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Cn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=true,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=false);}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,h=0;h<e.points.length;h++){var f=e.points[h][l]-this.min[l];c=Math.min(c,f),u=Math.max(u,f);}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var Ln=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n;};Ln.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Ln.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Ln.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Ln.prototype.clone=function(){return new Ln(this.top,this.bottom,this.left,this.right)},Ln.prototype.toJSON=function(){return {top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var In=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=true,this._edgeInsets=new Ln,this._posMatrixCache={},this._alignedPosMatrixCache={};},Pn={minZoom:{configurable:true},maxZoom:{configurable:true},minPitch:{configurable:true},maxPitch:{configurable:true},renderWorldCopies:{configurable:true},worldSize:{configurable:true},centerOffset:{configurable:true},size:{configurable:true},bearing:{configurable:true},pitch:{configurable:true},fov:{configurable:true},zoom:{configurable:true},center:{configurable:true},padding:{configurable:true},centerPoint:{configurable:true},unmodified:{configurable:true},point:{configurable:true}};In.prototype.clone=function(){var t=new In(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t));},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t));},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t));},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t));},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){ void 0===t?t=true:null===t&&(t=false),this._renderWorldCopies=t;},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return -this.angle/Math.PI*180},Pn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=false,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle));},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=false,this._pitch=r,this._calcMatrices());},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=false,this._fov=t/180*Math.PI,this._calcMatrices());},Pn.zoom.get=function(){return this._zoom},Pn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=false,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices());},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=false,this._center=t,this._constrain(),this._calcMatrices());},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=false,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices());},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},In.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},In.prototype.interpolatePadding=function(t,e,r){this._unmodified=false,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices();},In.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},In.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},In.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return [];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return {aabb:new Cn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:false}},u=[],h=[],f=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,y=m.y,v=m.fullyVisible;if(!v){var x=m.aabb.intersects(s);if(0===x)continue;v=2===x;}var _=m.aabb.distanceX(o),b=m.aabb.distanceY(o),w=Math.max(Math.abs(_),Math.abs(b)),T=3+(1<<f-m.zoom)-2;if(m.zoom===f||w>T&&m.zoom>=l)h.push({tileID:new t.OverscaledTileID(m.zoom===f?p:m.zoom,m.wrap,m.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:v});}}return h.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},In.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices();},Pn.unmodified.get=function(){return this._unmodified},In.prototype.zoomScale=function(t){return Math.pow(2,t)},In.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},In.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},In.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},In.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap());},In.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},In.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},In.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},In.prototype.coordinateLocation=function(t){return t.toLngLat()},In.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,h=n[2]/a,f=u===h?0:(0-u)/(h-u);return new t.MercatorCoordinate(t.number(o,s,f)/this.worldSize,t.number(l,c,f)/this.worldSize)},In.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},In.prototype.getBounds=function(){return (new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},In.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},In.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude]);},In.prototype.calculatePosMatrix=function(e,r){ void 0===r&&(r=false);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},In.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},In.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=true;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;a=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-a<c.y?c.y/(o-a):0;}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.x/(l-s):0;}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=false);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g);}if(this.lngRange){var y=p.x,v=c.x/2;y-v<s&&(n=s+v),y+v>l&&(n=l-v);} void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=false;}},In.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,h=new Float64Array(16);t.perspective(h,this._fov,this.width/this.height,u,c),h[8]=2*-r.x/this.width,h[9]=2*r.y/this.height,t.scale(h,h,[1,-1,1]),t.translate(h,h,[0,0,-this.cameraToCenterDistance]),t.rotateX(h,h,this._pitch),t.rotateZ(h,h,this.angle),t.translate(h,h,[-s,-l,0]),this.mercatorMatrix=t.scale([],h,[this.worldSize,this.worldSize,this.worldSize]),t.scale(h,h,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=h,this.invProjMatrix=t.invert([],this.projMatrix);var f=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*f+m*p,y=l-Math.round(l)+d*p+m*f,v=new Float64Array(h);if(t.translate(v,v,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=v,h=t.create(),t.scale(h,h,[this.width/2,-this.height/2,1]),t.translate(h,h,[1,-1,0]),this.labelPlaneMatrix=h,h=t.create(),t.scale(h,h,[1,-1,1]),t.translate(h,h,[-1,-1,0]),t.scale(h,h,[2/this.width,2/this.height,1]),this.glCoordMatrix=h,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(h=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=h,this._posMatrixCache={},this._alignedPosMatrixCache={};}},In.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},In.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},In.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return [e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y);}return [new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(In.prototype,Pn);var zn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=false,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=false);},function(){return i=true,a||o(),a});};zn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,false),this._map.on(\"moveend\",this._updateHash),this},zn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,false),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},zn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var h=this._hashName,f=false,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===h?(f=true,e+\"=\"+u):t})).filter((function(t){return t}));return f||p.push(h+\"=\"+u),\"#\"+p.join(\"&\")}return \"#\"+u},zn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t);})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},zn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),true}return  false},zn.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e);}catch(t){}};var On={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},On),Rn=t.extend({deceleration:20,maxSpeed:1400},On),Fn=t.extend({deceleration:1e3,maxSpeed:360},On),Bn=t.extend({deceleration:1e3,maxSpeed:90},On),Nn=function(t){this._map=t,this.clear();};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing);}function Un(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return {easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Nn.prototype.clear=function(){this._inertiaBuffer=[];},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e});},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift();},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround);}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Un(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l);}if(r.zoom){var c=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+c.amount,jn(s,c);}if(r.bearing){var u=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),jn(s,u);}if(r.pitch){var h=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+h.amount,jn(s,h);}if(s.zoom||s.bearing){var f=void 0===r.pinchAround?r.around:r.pinchAround;s.around=f?this._map.unproject(f):this._map.getCenter();}return this.clear(),t.extend(s,{noMoveStart:true})}};var Vn=function(e){function n(n,i,a,o){ void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=false,this.target=i;}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:true}};return n.prototype.preventDefault=function(){this._defaultPrevented=true;},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),qn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=false;}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:true}};return n.prototype.preventDefault=function(){this._defaultPrevented=true;},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=false;}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:true}};return e.prototype.preventDefault=function(){this._defaultPrevented=true;},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance;};Gn.prototype.reset=function(){delete this._mousedownPos;},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t));},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t));},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t));},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t));},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t));},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t));},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t));},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return {}},Gn.prototype.isEnabled=function(){return  true},Gn.prototype.isActive=function(){return  false},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Zn=function(t){this._map=t;};Zn.prototype.reset=function(){this._delayContextMenu=false,delete this._contextMenuEvent;},Zn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t));},Zn.prototype.mousedown=function(){this._delayContextMenu=true;},Zn.prototype.mouseup=function(){this._delayContextMenu=false,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent);},Zn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault();},Zn.prototype.isEnabled=function(){return  true},Zn.prototype.isActive=function(){return  false},Zn.prototype.enable=function(){},Zn.prototype.disable=function(){};var Wn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1;};function Yn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Wn.prototype.isEnabled=function(){return !!this._enabled},Wn.prototype.isActive=function(){return !!this._active},Wn.prototype.enable=function(){this.isEnabled()||(this._enabled=true);},Wn.prototype.disable=function(){this.isEnabled()&&(this._enabled=false);},Wn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=true);},Wn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\";}}},Wn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:true})}};this._fireEvent(\"boxzoomcancel\",e);}},Wn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t));},Wn.prototype.reset=function(){this._active=false,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos;},Wn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Xn=function(t){this.reset(),this.numTouches=t.numTouches;};Xn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=false;},Xn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=true),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a);}return r.div(e.length)}(r),this.touches=Yn(n,r)));},Xn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Yn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=true);}}},Xn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=true),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var $n=function(t){this.singleTap=new Xn(t),this.numTaps=t.numTaps,this.reset();};$n.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset();},$n.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r);},$n.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r);},$n.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new $n({numTouches:1,numTaps:2}),this._zoomOut=new $n({numTouches:2,numTaps:1}),this.reset();};Jn.prototype.reset=function(){this._active=false,this._zoomIn.reset(),this._zoomOut.reset();},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r);},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r);},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=true,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=true,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset();},Jn.prototype.enable=function(){this._enabled=true;},Jn.prototype.disable=function(){this._enabled=false,this.reset();},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn={};Kn[0]=1,Kn[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1;};Qn.prototype.reset=function(){this._active=false,this._moved=false,delete this._lastPoint,delete this._eventButton;},Qn.prototype._correctButton=function(t,e){return  false},Qn.prototype._move=function(t,e){return {}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n);}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=Kn[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=true,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset());},Qn.prototype.enable=function(){this._enabled=true;},Qn.prototype.disable=function(){this._enabled=false,this.reset();},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var ti=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=true);},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return {around:e,panDelta:e.sub(t)}},e}(Qn),ei=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=true,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault();},e}(Qn),ri=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-0.5*(e.y-t.y);if(r)return this._active=true,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault();},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset();};ni.prototype.reset=function(){this._active=false,this._touches={},this._sum=new t.Point(0,0);},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset();},ni.prototype.touchcancel=function(){this.reset();},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=true);var i=Yn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c);}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var h=o.div(s);if(this._sum._add(h),!(this._sum.mag()<this._clickTolerance))return {around:a.div(s),panDelta:h}}},ni.prototype.enable=function(){this._enabled=true;},ni.prototype.disable=function(){this._enabled=false,this.reset();},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset();};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=false,delete this._firstTwoTouches;},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return {}},ii.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]));},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset());}},ii.prototype.touchcancel=function(){this.reset();},ii.prototype.enable=function(t){this._enabled=true,this._aroundCenter=!!t&&\"center\"===t.around;},ii.prototype.disable=function(){this._enabled=false,this.reset();},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance;},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1]);},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=true,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var ci=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector;},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1]);},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=true,{bearingDelta:li(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ui(t){return Math.abs(t.y)>Math.abs(t.x)}var hi=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints;},e.prototype._start=function(t){this._lastPoints=t,ui(t[0].sub(t[1]))&&(this._valid=false);},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=true,{pitchDelta:(n.y+i.y)/2*-0.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ui(t)&&ui(e)&&a}},e}(ii),fi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=fi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=false;};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=false;},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t});}}}},pi.prototype.enable=function(){this._enabled=true;},pi.prototype.disable=function(){this._enabled=false,this.reset();},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=true;},pi.prototype.enableRotation=function(){this._rotationDisabled=false;};var mi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onTimeout\"],this);};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t;},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t;},gi.prototype.isEnabled=function(){return !!this._enabled},gi.prototype.isActive=function(){return !!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return !!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=true,this._aroundCenter=t&&\"center\"===t.around);},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=false);},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%mi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault();}},gi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t);},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=true,this.isZooming()||(this._zooming=true),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=true,this._handler._triggerRenderFrame());}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>mi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0;}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=false;if(\"wheel\"===this._type&&l&&c){var h=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),f=c(h);o=t.number(l,s,f),h<1?this._frameId||(this._frameId=true):u=true;}else o=s,u=true;return this._active=true,u&&(this._active=false,this._finishTimeout=setTimeout((function(){e._zooming=false,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout;}),200)),{noInertia:true,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1);}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=false;};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e;};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable();},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable();},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var vi=function(){this.reset();};vi.prototype.reset=function(){this._active=false;},vi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t});}}},vi.prototype.enable=function(){this._enabled=true;},vi.prototype.disable=function(){this._enabled=false,this.reset();},vi.prototype.isEnabled=function(){return this._enabled},vi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new $n({numTouches:1,numTaps:1}),this.reset();};xi.prototype.reset=function(){this._active=false,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset();},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r));},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=true,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r);},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp);},xi.prototype.touchcancel=function(){this.reset();},xi.prototype.enable=function(){this._enabled=true;},xi.prototype.disable=function(){this._enabled=false,this.reset();},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var _i=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r;};_i.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\");},_i.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\");},_i.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},_i.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var bi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r;};bi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable();},bi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable();},bi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},bi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=false,this._enabled=true;};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\");},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\");},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=true,this._touchRotate.disable();},wi.prototype.enableRotation=function(){this._rotationDisabled=false,this._touchZoom.isEnabled()&&this._touchRotate.enable();};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments);}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:true}],[i,\"touchmove\",{passive:false}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:true}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:false}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:false}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u);}};Mi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s);}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Gn(e,t));var n=e.boxZoom=new Wn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new vi;e.doubleClickZoom=new yi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new xi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new hi;this._add(\"touchPitch\",s);var l=new ei(t),c=new ri(t);e.dragRotate=new bi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new ti(t),h=new ni(t);e.dragPan=new _i(r,u,h),this._add(\"mousePan\",u),this._add(\"touchPan\",h,[\"touchZoom\",\"touchRotate\"]);var f=new ci,p=new si;e.touchZoomRotate=new wi(r,p,f,o),this._add(\"touchRotate\",f,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var m=e.keyboard=new pi;this._add(\"keyboard\",m),this._add(\"blockableMapEvent\",new Zn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var v=y[g];t.interactive&&t[v]&&e[v].enable(t[v]);}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e;},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[];}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return  true;return  false},Mi.prototype.isZooming=function(){return !!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return !!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return  true;return  false},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\");},Mi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i);}return e},Mi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=true;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:false},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var h=u[c],f=h.handlerName,p=h.handler,d=h.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,f)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,f,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[f]=p);}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(true),this._updatingCamera=false;var v=i.cameraAnimation;v&&(this._inertia.clear(),this._fireEvents({},{},true),this._changes=[],v(this._map));}else this.stop(true);},Mi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o);}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c);}this._updateMapTransform(e,r,n),this._changes=[];},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,true);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(true),c=c||n.transform.centerPoint;var h=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(h,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,true);},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var c=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=c),this._eventsInProgress[l]=e[l];}for(var u in !a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(u,s[u]);for(var h in o&&this._fireEvent(\"move\",o.originalEvent),e){var f=e[h].originalEvent;this._fireEvent(h,f);}var p,d={};for(var m in this._eventsInProgress){var g=this._eventsInProgress[m],y=g.handlerName,v=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[m],p=r[y]||v,d[m+\"end\"]=p);}for(var x in d)this._fireEvent(x,d[x]);var _=Ti(this._eventsInProgress);if(n&&(a||o)&&!_){this._updatingCamera=true;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};b?(w(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:p})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=false;}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}));},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki(\"renderFrame\",{timeStamp:e})),t._applyChanges();}))},Mi.prototype._triggerRenderFrame=function(){ void 0===this._frameId&&(this._frameId=this._requestFrame());};var Si=function(e){function r(r,n){e.call(this),this._moving=false,this._zooming=false,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this);}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o};}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),h=c.rotate(-n*Math.PI/180),f=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(h.x,f.x),Math.max(h.y,f.y)),d=new t.Point(Math.min(h.x,f.x),Math.min(h.y,f.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(y<0||g<0)){var v=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=\"number\"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),_=(i.padding.left-i.padding.right)/2,b=(i.padding.top-i.padding.bottom)/2,w=new t.Point(_,b).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(v));return {center:s.unproject(c.add(u).div(2).sub(T)),zoom:v,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=false,a=false,o=false;return \"zoom\"in e&&n.zoom!==+e.zoom&&(i=true,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=true,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=true,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(false,e.easeId),(false===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,h=\"pitch\"in e?+e.pitch:s,f=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var y,v,x=i.project(m),_=i.project(g).sub(x),b=i.zoomScale(c-a);e.around&&(y=t.LngLat.convert(e.around),v=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||h!==s,this._padding=!i.isPaddingEqual(f),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,h,e)),n._padding&&(i.interpolatePadding(l,f,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,v);else {var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,b):Math.max(.5,b),w=Math.pow(g,1-e),T=i.unproject(x.add(_.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d);}n._fireMoveEvents(r);}),(function(t){n._afterEase(r,t);}),e),this},r.prototype._prepareEase=function(e,r,n){ void 0===n&&(n={}),this._moving=true,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e));},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e));},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=false,this._zooming=false,this._rotating=false,this._pitching=false,this._padding=false,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e));}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,h=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,f=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),y=a.pointLocation(g),v=t.LngLat.convert(e.center||y);this._normalizeCenter(v);var x=a.project(y),_=a.project(v).sub(x),b=e.curve,w=Math.max(a.width,a.height),T=w/d,k=_.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);b=Math.sqrt(M/k*2);}var S=b*b;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function C(t){return (Math.exp(t)-Math.exp(-t))/2}function L(t){return (Math.exp(t)+Math.exp(-t))/2}var I=E(0),P=function(t){return L(I)/L(I+b*t)},z=function(t){return w*((L(I)*(C(e=I+b*t)/L(e))-C(I))/S)/k;var e;},O=(E(1)-I)/b;if(Math.abs(k)<1e-6||!isFinite(O)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;O=Math.abs(Math.log(T/w))/b,z=function(){return 0},P=function(t){return Math.exp(D*b*t)};}if(\"duration\"in e)e.duration=+e.duration;else {var R=\"screenSpeed\"in e?+e.screenSpeed/b:+e.speed;e.duration=1e3*O/R;}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=true,this._rotating=s!==h,this._pitching=f!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,false),this._ease((function(e){var i=e*O,d=1/P(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,h,e)),n._pitching&&(a.pitch=t.number(l,f,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var y=1===e?v:a.unproject(x.add(_.mult(z(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r);}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return !!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e);}if(!t){var n=this.handlers;n&&n.stop(false);}return this},r.prototype._ease=function(e,r,n){ false===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback));},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop();},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0;}},r}(t.Evented),Ei=function(e){ void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this);};Ei.prototype.getDefaultPosition=function(){return \"bottom-right\"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0;},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r);},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"));},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(true):\"\"),e.rel=\"noopener nofollow\",this._setElementTitle(e,\"MapFeedback\");}},Ei.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink());},Ei.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return \"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id;}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution);}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return  false;return  true}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null);}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\");};var Ci=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this);};Ci.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Ci.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact);},Ci.prototype.getDefaultPosition=function(){return \"bottom-left\"},Ci.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\");},Ci.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return  true;return  false}},Ci.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\");}};var Li=function(){this._queue=[],this._id=0,this._cleared=false,this._currentlyRunning=false;};Li.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:false}),e},Li.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=true)}},Li.prototype.run=function(t){ void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=false,this._currentlyRunning=false;},Li.prototype.clear=function(){this._currentlyRunning&&(this._cleared=true),this._queue=[];};var Ii={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Pi=t.window.HTMLImageElement,zi=t.window.HTMLElement,Oi=t.window.ImageBitmap,Di=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Di,interactive:true,scrollZoom:true,boxZoom:true,dragRotate:true,dragPan:true,keyboard:true,doubleClickZoom:true,touchZoomRotate:true,touchPitch:true,bearingSnap:7,clickTolerance:3,pitchWithRotate:true,hash:false,attributionControl:true,failIfMajorPerformanceCaveat:false,preserveDrawingBuffer:false,trackResize:true,renderWorldCopies:true,refreshExpiredTiles:true,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:true},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>Di)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new In(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Li,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ii,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else {if(!(e.container instanceof zi))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container;}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(false)})),this.on(\"moveend\",(function(){return r._update(false)})),this.on(\"zoom\",(function(){return r._update(true)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,false),t.window.addEventListener(\"resize\",this._onWindowResize,false),t.window.addEventListener(\"orientationchange\",this._onWindowResize,false)),this.handlers=new Mi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new zn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Ci,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet);})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e));})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e));}));}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:true},showPadding:{configurable:true},showCollisionBoxes:{configurable:true},showOverdrawInspector:{configurable:true},repaint:{configurable:true},vertices:{configurable:true},version:{configurable:true}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return  -1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Di:t)>Di)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=false;return {layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=true,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=false;},mouseout:function(){a=false;}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=false;return {layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=true:o&&(o=false,r.call(i,new Vn(t,i,n.originalEvent)));},mouseout:function(e){o&&(o=false,r.call(i,new Vn(t,i,e.originalEvent)));}}}}return {layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features);},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return [];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else {var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i];}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return  false!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new We(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new We(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty());},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r);}));}else \"object\"==typeof e&&this._updateDiff(e,r);},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0);}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r);}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(true)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")));},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return  false}}return  true},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(true)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){ void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=false);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Pi||Oi&&r instanceof Oi){var c=t.browser.getImageData(r),u=c.width,h=c.height,f=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:h},f),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0});}else {if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e);}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Pi||Oi&&r instanceof Oi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof Pi||Oi&&r instanceof Oi);n.data.replace(s,l),this.style.updateImage(e,n);},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),false)},i.prototype.removeImage=function(t){this.style.removeImage(t);},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r);},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(true)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(true)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(true)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(true)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(true)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(true)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(true)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(true)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\");},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,false),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,false),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i);})),this._container.addEventListener(\"scroll\",this._onMapScroll,false);},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\";},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||false}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Sn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")));},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}));},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}));},i.prototype._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,false},i.prototype.loaded=function(){return !this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=true,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t);},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=false;if(this.style&&this._styleDirty){this._styleDirty=false;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=true,this._crossFadingFactor=u),this.style.update(c);}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=false,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=true,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=true),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var h=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:h,gpuTime:e}));}),50);}if(this.listens(\"gpu-timing-layer\")){var f=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(f);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}));}),50);}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=true),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,false),t.window.removeEventListener(\"orientationchange\",this._onWindowResize,false),t.window.removeEventListener(\"online\",this._onWindowOnline,false));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=true,this.fire(new t.Event(\"remove\"));},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t);})));},i.prototype._onWindowOnline=function(){this._update();},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update();},a.showTileBoundaries.get=function(){return !!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update());},a.showPadding.get=function(){return !!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update());},a.showCollisionBoxes.get=function(){return !!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update());},a.showOverdrawInspector.get=function(){return !!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update());},a.repaint.get=function(){return !!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint());},a.vertices.get=function(){return !!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update();},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r);},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t);}var Ni={showCompass:true,showZoom:true,visualizePitch:false},ji=function(e){var n=this;this.options=t.extend({},Ni,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",true),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",true)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t});})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",true));};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString());},ji.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t;},ji.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map;},ji.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r);};var Ui=function(e,n,i){ void 0===i&&(i=false),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:false}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset);};function Vi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a);}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360;}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag();},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta);}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:false}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp();},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup);},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:true,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup);},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t));},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp();},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:true,preventDefault:function(){return t.preventDefault()}},this._startPos));},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos));},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset();},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp();};var qi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e);}var Gi,Zi=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._scale=n&&n.scale||1,this._draggable=n&&n.draggable||false,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=false,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else {this._defaultMarker=true,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var a=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");a.setAttributeNS(null,\"display\",\"block\"),a.setAttributeNS(null,\"height\",\"41px\"),a.setAttributeNS(null,\"width\",\"27px\"),a.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,u=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];c<u.length;c+=1){var h=u[c],f=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");f.setAttributeNS(null,\"opacity\",\"0.04\"),f.setAttributeNS(null,\"cx\",\"10.5\"),f.setAttributeNS(null,\"cy\",\"5.80029008\"),f.setAttributeNS(null,\"rx\",h.rx),f.setAttributeNS(null,\"ry\",h.ry),l.appendChild(f);}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),p.appendChild(d);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(g);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),v.appendChild(x),v.appendChild(_),s.appendChild(l),s.appendChild(p),s.appendChild(m),s.appendChild(y),s.appendChild(v),a.appendChild(s),a.setAttributeNS(null,\"height\",41*this._scale+\"px\"),a.setAttributeNS(null,\"width\",27*this._scale+\"px\"),this._element.appendChild(a),this._offset=t.Point.convert(n&&n.offset||[0,-14]);}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault();})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault();})),Hi(this._element,this._anchor,\"marker\"),this._popup=null;}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset;}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress);}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup();},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup();},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,qi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e);}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r;}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\")));},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=false,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\";},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp));},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Wi={positionOptions:{enableHighAccuracy:false,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:false,showAccuracyCircle:true,showUserLocation:true};var Yi=0,Xi=false,$i=function(e){function n(r){e.call(this),this.options=t.extend({},Wi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this);}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Gi=\"denied\"!==t.state,n(Gi);})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n;},n.prototype.onRemove=function(){ void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Yi=0,Xi=false;},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case \"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case \"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case \"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case \"WAITING_ACTIVE\":case \"ACTIVE_LOCK\":case \"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case \"BACKGROUND\":case \"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish();}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:true});},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius();}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove();},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\";},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius();},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=true;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch();}else {if(3===e.code&&Xi)return;this._setErrorState();}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish();}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0;},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",true),this._geolocateButton.type=\"button\",false===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=true,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i);}else {var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a);}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Zi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Zi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=true,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")));}));},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),false;if(this.options.trackUserLocation){switch(this._watchState){case \"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case \"WAITING_ACTIVE\":case \"ACTIVE_LOCK\":case \"ACTIVE_ERROR\":case \"BACKGROUND_ERROR\":Yi--,Xi=false,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case \"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"));}switch(this._watchState){case \"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case \"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case \"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case \"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case \"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\");}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Yi>1?(e={maximumAge:6e5,timeout:0},Xi=true):(e=this.options.positionOptions,Xi=false),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e);}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return  true},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null);},n}(t.Evented),Ji={maxWidth:100,unit:\"metric\"},Ki=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this);};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"));}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"));}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n;}Ki.prototype.getDefaultPosition=function(){return \"bottom-left\"},Ki.prototype._onMove=function(){Qi(this._map,this._container,this.options);},Ki.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Ki.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0;},Ki.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options);};var ea=function(e){this._fullscreen=false,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\");};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon);},ea.prototype._checkFullscreenSupport=function(){return !!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",true),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon);},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t;},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle());},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen();};var ra={closeButton:true,closeOnClick:true,focusAfterOpen:true,className:\"\",maxWidth:\"240px\"},na=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this);}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return !!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=false,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=true,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t);},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t);},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose));},n.prototype._onMouseUp=function(t){this._update(t.point);},n.prototype._onMouseMove=function(t){this._update(t.point);},n.prototype._onDrag=function(t){this._update(t.point);},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,c=this._container.offsetHeight;s=i.y+o.bottom.y<c?[\"top\"]:i.y>this._map.transform.height-c?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\");}var u=i.add(o[a]).round();r.setTransform(this._container,qi[a]+\" translate(\"+u.x+\"px,\"+u.y+\"px)\"),Hi(this._container,a,\"popup\");}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus();}},n.prototype._onClose=function(){this.remove();},n}(t.Evented);function aa(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return {center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return {center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return {center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:$i,AttributionControl:Ei,ScaleControl:Ki,FullscreenControl:ea,Popup:ia,Marker:Zi,Style:We,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt);},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"));},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e;},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e;},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t;},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e;},clearStorage:function(e){t.clearTileCache(e);},workerUrl:\"\"};return oa})),r}();},27549:function(t,e,r){t.exports=r(55366);},55366:function(t,e,r){var n=r(31625),i=r(75144),a=r(5137),o=r(78112),s=r(6807),l=r(68650),c=r(83473),u=r(60201),h=r(10275),f=r(62914);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,c=t.length/2;l<c;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return s}t.exports=function(t,e){e||(e={}),t=c(t,\"float64\"),e=s(e,{bounds:\"range bounds dataBox databox\",maxDepth:\"depth maxDepth maxdepth level maxLevel maxlevel levels\",dtype:\"type dtype format out dst output destination\"});var r=l(e.maxDepth,255),i=l(e.bounds,o(t,2));i[0]===i[2]&&i[2]++,i[1]===i[3]&&i[3]++;var d,m=p(t,i),g=t.length>>>1;e.dtype||(e.dtype=\"array\"),\"string\"==typeof e.dtype?d=new(h(e.dtype))(g):e.dtype&&(d=e.dtype,Array.isArray(d)&&(d.length=g));for(var y=0;y<g;++y)d[y]=y;var v=[],x=[],_=[],b=[];!function t(e,n,i,a,o,s){if(!a.length)return null;var l=v[o]||(v[o]=[]),c=_[o]||(_[o]=[]),u=x[o]||(x[o]=[]),h=l.length;if(++o>r||s>1073741824){for(var f=0;f<a.length;f++)l.push(a[f]),c.push(s),u.push(null,null,null,null);return h}if(l.push(a[0]),c.push(s),a.length<=1)return u.push(null,null,null,null),h;for(var p=.5*i,d=e+p,g=n+p,y=[],b=[],w=[],T=[],k=1,A=a.length;k<A;k++){var M=a[k],S=m[2*M],E=m[2*M+1];S<d?E<g?y.push(M):b.push(M):E<g?w.push(M):T.push(M);}return 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position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return {regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},true)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=h(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=v(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=false,o=false;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t);}catch(e){t=n.parse(T.baseFontSize+\"px \"+t);}else {var i=t.style,s=t.weight,l=t.stretch,c=t.variant;t=n.parse(n.stringify(t)),i&&(t.style=i),s&&(t.weight=s),l&&(t.stretch=l),c&&(t.variant=c);}var u=n.stringify({size:T.baseFontSize,family:t.family,stretch:b?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),h=p(t.size),f=Math.round(h[0]*d(h[1]));if(f!==e.fontSize[r]&&(o=true,e.fontSize[r]=f),!(e.font[r]&&u==e.font[r].baseString||(a=true,e.font[r]=T.fonts[u],e.font[r]))){var m=t.family.join(\", \"),g=[t.style];t.style!=t.variant&&g.push(t.variant),t.variant!=t.weight&&g.push(t.weight),b&&t.weight!=t.stretch&&g.push(t.stretch),e.font[r]={baseString:u,family:m,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(m,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:g.join(\" \")})},T.fonts[u]=e.font[r];}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:b?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()};}null==t.text&&(t.text=e.text);})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s;}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var _=1;_<t.text.length;_++)this.textOffsets[_]=this.textOffsets[_-1]+t.text[_-1].length,this.count+=t.text[_].length,this.counts.push(t.text[_].length);this.text=t.text.join(\"\");}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}));}}}));}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var C=0;C<S;C++)k[M++]=t.position[A][0],k[M++]=t.position[A][1];}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k);}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var L=u.mallocUint8(this.count),I=u.mallocFloat(2*this.count);this.textWidth=[];for(var P=0,z=0;P<this.counts.length;P++){for(var O=this.counts[P],D=this.font[P]||this.font[0],R=this.fontAtlas[P]||this.fontAtlas[0],F=0;F<O;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(L[z]=R.ids[B],I[2*z]=D.width[B],F){var j=I[2*z-2],U=I[2*z],V=I[2*z-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q);}I[2*z+1]=V;}else I[2*z+1]=.5*I[2*z];z++;}this.textWidth.push(I.length?.5*I[2*z-2]+I[2*z-1]:0);}t.align||(t.align=this.align),this.charBuffer({data:L,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:I,type:\"float\",usage:\"stream\"}),u.freeUint8(L),u.freeFloat(I),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})});}));}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case \"right\":case \"end\":return -t;case \"center\":case \"centre\":case \"middle\":return .5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Z=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Z(W,W+4),\"uint8\"),W);}else {var Y=t.color.length;H=u.mallocUint8(4*Y);for(var X=0;X<Y;X++)H.set(l(t.color[X]||0,\"uint8\"),4*X);}this.color=H;}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var $=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array($);for(var J=0;J<this.batch.length;J++)this.batch[J]={count:this.counts.length>1?this.counts[J]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[J]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*J,4*J+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[J]:this.opacity,baseline:null!=this.baselineOffset[J]?this.baselineOffset[J]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[J]?this.alignOffset[J]:this.alignOffset[0]:0,atlas:this.fontAtlas[J]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*J,2*J+2):this.positionOffset};}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[];},T.prototype.destroy=function(){},T.prototype.kerning=true,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:false}),T.baseFontSize=64,T.fonts={},t.exports=T;},38862:function(t,e,r){var n=r(6807);function 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i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var h=e.linesIntersect(o,s,c,u);if(false===h){if(!e.pointsCollinear(o,s,c))return  false;if(e.pointsSame(o,u)||e.pointsSame(s,c))return  false;var f=e.pointsSame(o,c),p=e.pointsSame(s,u);if(f&&p)return n;var d=!f&&e.pointBetween(o,c,u),m=!p&&e.pointBetween(s,c,u);if(f)return m?l(n,s):l(t,u),n;d&&(p||(m?l(n,s):l(t,u)),l(n,o));}else 0===h.alongA&&(-1===h.alongB?l(t,c):0===h.alongB?l(t,h.pt):1===h.alongB&&l(t,u)),0===h.alongB&&(-1===h.alongA?l(n,o):0===h.alongA?l(n,h.pt):1===h.alongA&&l(n,s));return  false}for(var h=[];!a.isEmpty();){var f=a.getHead();if(r&&r.vert(f.pt[0]),f.isStart){r&&r.segmentNew(f.seg,f.primary);var p=c(f),d=p.before?p.before.ev:null,m=p.after?p.after.ev:null;function g(){if(d){var t=u(f,d);if(t)return t}return !!m&&u(f,m)}r&&r.tempStatus(f.seg,!!d&&d.seg,!!m&&m.seg);var y,v,x=g();if(x)t?(v=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=f.seg.myFill,r&&r.segmentUpdate(x.seg),f.other.remove(),f.remove();if(a.getHead()!==f){r&&r.rewind(f.seg);continue}t?(v=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below,f.seg.myFill.below=m?m.seg.myFill.above:i,f.seg.myFill.above=v?!f.seg.myFill.below:f.seg.myFill.below):null===f.seg.otherFill&&(y=m?f.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:f.primary?o:i,f.seg.otherFill={above:y,below:y}),r&&r.status(f.seg,!!d&&d.seg,!!m&&m.seg),f.other.status=p.insert(n.node({ev:f}));}else {var _=f.status;if(null===_)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(_.prev)&&s.exists(_.next)&&u(_.prev.ev,_.next.ev),r&&r.statusRemove(_.ev.seg),_.remove(),!f.primary){var b=f.seg.myFill;f.seg.myFill=f.seg.otherFill,f.seg.otherFill=b;}h.push(f.seg);}a.getHead().remove();}return r&&r.done(),h}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),true);}},calculate:function(t){return c(t,false)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),true);})),r.forEach((function(t){s(i(t.start,t.end,t),false);})),c(e,n)}}};},48916:function(t){t.exports={create:function(){var t={root:{root:true,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next;}n.next=e,e.prev=n,e.next=null;},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return {before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null;},t}};},22222:function(t){t.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else {r&&r.chainStart(t);for(var s={index:0,matches_head:false,matches_pt1:false},l={index:0,matches_head:false,matches_pt1:false},c=s,u=0;u<n.length;u++){var h=(g=n[u])[0],f=(g[1],g[g.length-1]);if(g[g.length-2],e.pointsSame(h,a)){if(k(u,true,true))break}else if(e.pointsSame(h,o)){if(k(u,true,false))break}else if(e.pointsSame(f,a)){if(k(u,false,true))break}else if(e.pointsSame(f,o)&&k(u,false,false))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,m=s.matches_head,g=n[p],y=m?g[0]:g[g.length-1],v=m?g[1]:g[g.length-2],x=m?g[g.length-1]:g[0],_=m?g[g.length-2]:g[1];return e.pointsCollinear(v,y,d)&&(m?(r&&r.chainRemoveHead(s.index,d),g.shift()):(r&&r.chainRemoveTail(s.index,d),g.pop()),y=v),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(_,x,y)&&(m?(r&&r.chainRemoveTail(s.index,y),g.pop()):(r&&r.chainRemoveHead(s.index,y),g.shift())),r&&r.chainClose(s.index),void i.push(g)):void(m?(r&&r.chainAddHead(s.index,d),g.unshift(d)):(r&&r.chainAddTail(s.index,d),g.push(d)))}var b=s.index,w=l.index;r&&r.chainConnect(b,w);var T=n[b].length<n[w].length;s.matches_head?l.matches_head?T?(A(b),M(b,w)):(A(w),M(w,b)):M(w,b):l.matches_head?M(b,w):T?(A(b),M(w,b)):(A(w),M(b,w));}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,false):(c=null,true)}function A(t){r&&r.chainReverse(t),n[t].reverse();}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1);}})),i};},17527:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null});})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r;},3944:function(t,e,r){var n=r(90386).Transform,i=r(79743);function a(){n.call(this,{readableObjectMode:true});}function o(t,e,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=(new Error).stack||\"\",this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r);}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),e.rU=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return  false;return  true},e.VG=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},e.$l=function(t,e){return t[e]|t[e+1]<<8},e.bc=function(t,e){return t[e+1]|t[e]<<8},e.tF=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},e.bb=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o;},19789:function(t){function e(t,e){var r=new Error(t);return r.code=e,r}function r(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function n(t,r,n){this.input=t.subarray(r,n),this.start=r;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw e(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=\"M\"===i[0];}n.prototype.each=function(t){this.aborted=false;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t);}},n.prototype.read_uint16=function(t){var r=this.input;if(t+2>r.length)throw e(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*r[t]+r[t+1]:r[t]+256*r[t+1]},n.prototype.read_uint32=function(t){var r=this.input;if(t+4>r.length)throw e(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return (r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return (r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),c=this.read_uint32(n+4),u=this.exif_format_length(l),h=c*u,f=h<=4?n+8:this.read_uint32(n+8),p=false;if(f+h>this.input.length)throw e(\"unexpected EOF\",\"EBADDATA\");for(var d=[],m=f,g=0;g<c;g++,m+=u){var y=this.exif_format_read(l,m);if(null===y){d=null;break}d.push(y);}if(Array.isArray(d)&&2===l&&(d=r(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=true),false===i({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:n+this.start,data_length:h,data_offset:f+this.start,value:d,is_subifd_link:p}))return void(this.aborted=true);n+=12;}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(n)});},t.exports.ExifParser=n,t.exports.get_orientation=function(t){var e=0;try{return new n(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return  -1}};},20186:function(t,e,r){var n=r(3944).bc,i=r(3944).bb;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case \"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case \"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case \"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]});}r=n.end;}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),h=n(t,l+=2),f=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===h&&1===p){var d=s(t,l,r),m=s(t,l+r,i);e.item_loc[u]={length:m,offset:d+f};}l+=p*(r+i);}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l;}i=s.end;}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end;}}t.exports.unbox=a,t.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end;}}(t,e),e.sizes.length){var r,n,i,o=(n=(r=e.sizes).reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s];}));var h=null;return e.item_inf.Exif&&(h=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:h}}},t.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=true;for(var n=8;n<t.length;n+=4)r[String.fromCharCode.apply(null,t.slice(n,n+4))]=true;if(r.mif1||r.msf1||r.miaf)return \"avif\"===e||\"avis\"===e||\"avio\"===e?{type:\"avif\",mime:\"image/avif\"}:\"heic\"===e||\"heix\"===e?{type:\"heic\",mime:\"image/heic\"}:\"hevc\"===e||\"hevx\"===e?{type:\"heic\",mime:\"image/heic-sequence\"}:r.avif||r.avis?{type:\"avif\",mime:\"image/avif\"}:r.heic||r.heix||r.hevc||r.hevx||r.heis?r.msf1?{type:\"heif\",mime:\"image/heif-sequence\"}:{type:\"heif\",mime:\"image/heif\"}:{type:\"avif\",mime:\"image/avif\"}};},31149:function(t,e,r){var n=r(3944).VG,i=r(3944).rU,a=r(3944).bb,o=r(20186),s=r(19789),l=n(\"ftyp\");t.exports=function(t){if(i(t,4,l)){var 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[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:true,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return !e.overlay}},stencil:{enable:false},scissor:{enable:true,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n));}catch(t){e=i;}return {fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:\"\\nprecision highp float;\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\",frag:\"\\nprecision highp float;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\",uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return [e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:false},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},g.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:false,viewport:null,range:null,close:false,fill:null},g.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw();},g.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return (e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return (n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>g.precisionThreshold||e.scale[1]*e.viewport.height>g.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=g.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)));})),this},g.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,u=this.gl;if(t.forEach((function(t,p){var y=e.passes[p];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\",splitNull:\"splitNull\"}),y||(e.passes[p]=y={id:p,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:r.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},t=a({},g.defaults,t)),null!=t.thickness&&(y.thickness=parseFloat(t.thickness)),null!=t.opacity&&(y.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(y.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(y.overlay=!!t.overlay,p<g.maxLines&&(y.depth=2*(g.maxLines-1-p%g.maxLines)/g.maxLines-1)),null!=t.join&&(y.join=t.join),null!=t.hole&&(y.hole=t.hole),null!=t.fill&&(y.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(y.viewport=d(t.viewport)),y.viewport||(y.viewport=d([u.drawingBufferWidth,u.drawingBufferHeight])),null!=t.close&&(y.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var v,x;if(t.positions.x&&t.positions.y){var _=t.positions.x,b=t.positions.y;x=y.count=Math.max(_.length,b.length),v=new Float64Array(2*x);for(var w=0;w<x;w++)v[2*w]=_[w],v[2*w+1]=b[w];}else v=s(t.positions,\"float64\"),x=y.count=Math.floor(v.length/2);var T=y.bounds=i(v,2);if(y.fill){for(var k=[],A={},M=0,S=0,E=0,C=y.count;S<C;S++){var L=v[2*S],I=v[2*S+1];isNaN(L)||isNaN(I)||null==L||null==I?(L=v[2*M],I=v[2*M+1],A[S]=M):M=S,k[E++]=L,k[E++]=I;}if(t.splitNull){y.count-1 in A||(A[y.count]=y.count-1);var P=Object.keys(A).map(Number).sort((function(t,e){return t-e})),z=[],O=0,D=null!=y.hole?y.hole[0]:null;if(null!=D){var R=m(P,(function(t){return t>=D}));(P=P.slice(0,R)).push(D);}for(var F=function(t){var e=k.slice(2*O,2*P[t]).concat(D?k.slice(2*D):[]),r=(y.hole||[]).map((function(e){return e-D+(P[t]-O)})),n=l(e,r);n=n.map((function(e){return e+O+(e+O<P[t]?0:D-P[t])})),z.push.apply(z,n),O=P[t]+1;},B=0;B<P.length;B++)F(B);for(var N=0,j=z.length;N<j;N++)null!=A[z[N]]&&(z[N]=A[z[N]]);y.triangles=z;}else {for(var U=l(k,y.hole||[]),V=0,q=U.length;V<q;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);y.triangles=U;}}var H=new Float64Array(v);c(H,2,T);var G=new Float64Array(2*x+6);y.close?v[0]===v[2*x-2]&&v[1]===v[2*x-1]?(G[0]=H[2*x-4],G[1]=H[2*x-3]):(G[0]=H[2*x-2],G[1]=H[2*x-1]):(G[0]=H[0],G[1]=H[1]),G.set(H,2),y.close?v[0]===v[2*x-2]&&v[1]===v[2*x-1]?(G[2*x+2]=H[2],G[2*x+3]=H[3],y.count-=1):(G[2*x+2]=H[0],G[2*x+3]=H[1],G[2*x+4]=H[2],G[2*x+5]=H[3]):(G[2*x+2]=H[2*x-2],G[2*x+3]=H[2*x-1],G[2*x+4]=H[2*x-2],G[2*x+5]=H[2*x-1]);var Z=h(G);y.positionBuffer(Z);var W=f(G,Z);y.positionFractBuffer(W);}if(t.range?y.range=t.range:y.range||(y.range=y.bounds),(t.range||t.positions)&&y.count){var Y=y.bounds,X=Y[2]-Y[0],$=Y[3]-Y[1],J=y.range[2]-y.range[0],K=y.range[3]-y.range[1];y.scale=[X/J,$/K],y.translate=[-y.range[0]/J+Y[0]/J||0,-y.range[1]/K+Y[1]/K||0],y.scaleFract=f(y.scale),y.translateFract=f(y.translate);}if(t.dashes){var Q,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,Q=new Uint8Array([255,255,255,255,255,255,255,255]);else {tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];Q=new Uint8Array(tt*g.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*g.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255;}}y.dashLength=tt,y.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0);}if(t.color){var lt=y.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ht=0;ht<lt;ht++){var ft=n(ct[ht],\"uint8\");ut.set(ft,4*ht);}ut.set(n(ct[0],\"uint8\"),4*lt);}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);y.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut});}}else e.passes[p]=null;})),t.length<this.passes.length){for(var p=t.length;p<this.passes.length;p++){var y=this.passes[p];y&&(y.colorBuffer.destroy(),y.positionBuffer.destroy(),y.dashTexture.destroy());}this.passes.length=t.length;}for(var v=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&v.push(this.passes[x]);return this.passes=v,this}},g.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy();})),this.passes.length=0,this};},62172:function(t,e,r){function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){var r=null==t?null:\"undefined\"!=typeof Symbol&&t[Symbol.iterator]||t[\"@@iterator\"];if(null!=r){var n,i,a,o,s=[],l=true,c=false;try{if(a=(r=r.call(t)).next,0===e);else for(;!(l=(n=a.call(r)).done)&&(s.push(n.value),s.length!==e);l=!0);}catch(t){c=true,i=t;}finally{try{if(!l&&null!=r.return&&(o=r.return(),Object(o)!==o))return}finally{if(c)throw i}}return s}}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return a(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return \"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?a(t,e):void 0}}function a(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var o=r(162),s=r(78112),l=r(46762),c=r(27549),u=r(27976),h=r(76765),f=r(6807),p=r(79788),d=r(83473),m=r(39488),g=r(51498),y=r(5137),v=x;function x(t,e){var r=this;if(!(this instanceof x))return new x(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=m,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),u(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return [r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return  true===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:true,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:true,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:false},depth:{enable:false},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=u({},o);s.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float opacity;\\nuniform sampler2D markerTexture;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\\n\"]),this.drawMarker=t(s);var l=u({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l);}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r);}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(true===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s);}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;if(this.regl,!a)return r?[u({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[u({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var h=[],f=a.range(i,{lod:true,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1;}l.subdata(d);}for(var y=f.length;y--;){var v=n(f[y],2),x=v[0],_=v[1];h.push(u({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:_-x}));}return h},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,h=this.maxColors,m=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=f(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=u({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var v=0,_=0;if(p(n,e,[{snap:true,size:function(t,e){return null==t&&(t=x.defaults.size),v+=t&&t.length?1:0,t},borderSize:function(t,e){return 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!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=true),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0);}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy();})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=r(27976);t.exports=function(t,e){var r=new v(t,e),n=r.render.bind(r);return 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n.vaoCount+=1,e.destroy=function(){for(var t=0;t<r.buffers.length;++t)r.buffers[t]&&r.buffers[t].destroy();r.buffers.length=0,r.ownsElements&&(r.elements.destroy(),r.elements=null,r.ownsElements=false),r.destroy();},e._vao=r,e._reglType=\"vao\",e(t)},getVAO:function(t){return \"function\"==typeof t&&t._vao?t._vao:null},destroyBuffer:function(e){for(var r=0;r<u.length;++r){var n=u[r];n.buffer===e&&(t.disableVertexAttribArray(r),n.buffer=null);}},setVAO:e.oes_vertex_array_object?function(t){if(t!==p.currentVAO){var r=e.oes_vertex_array_object;t?r.bindVertexArrayOES(t.vao):r.bindVertexArrayOES(null),p.currentVAO=t;}}:function(r){if(r!==p.currentVAO){if(r)r.bindAttrs();else {for(var n=e.angle_instanced_arrays,i=0;i<u.length;++i){var 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e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a;},81133:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"];}a.prototype=new 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a;},42645:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"];}a.prototype=new 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return (this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a;},62324:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"];}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),false},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw \"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw \"Invalid Mayan year\";e=20*e+n;}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),true},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return {haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o(8+(t-=this.jdEpoch)+340,365);return [Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return [s(20+(t-=this.jdEpoch),20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a;},91662:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"];}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:false,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:false}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return (this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a;},66445:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"];}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:false,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:false}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++) void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e);},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,2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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1;}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return (this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o;},41858:function(t,e,r){var n=r(24453),i=r(27976),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"];}o.prototype=new 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return (this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o;},57985:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"];}a.prototype=new 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n=r(27976);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={};}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw (c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return \"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\";}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"];}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw (this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return (n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return (e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10);}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw (c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw (c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return (this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return (e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return (r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return (Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return 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t.date(e[0],e[1],e[2])},set:function(t,e,r){this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);var n=\"y\"===r?e:t.year(),i=\"m\"===r?e:t.month(),a=\"d\"===r?e:t.day();return \"y\"!==r&&\"m\"!==r||(a=Math.min(a,this.daysInMonth(n,i))),t.date(n,i,a)},isValid:function(t,e,r){this._validateLevel++;var n=this.hasYearZero||0!==t;if(n){var i=this.newDate(t,e,this.minDay);n=e>=this.minMonth&&e-this.minMonth<this.monthsInYear(i)&&r>=this.minDay&&r-this.minDay<this.daysInMonth(i);}return this._validateLevel--,n},toJSDate:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return c.instance().fromJD(this.toJD(n)).toJSDate()},fromJSDate:function(t){return this.fromJD(c.instance().fromJSDate(t).toJD())},_validate:function(t,e,r,n){if(t.year){if(0===this._validateLevel&&this.name!==t.calendar().name)throw 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n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var c=t.exports=new i;c.cdate=a,c.baseCalendar=s,c.calendars.gregorian=l;},23428:function(t,e,r){var n=r(27976),i=r(24453);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return \"string\"!=typeof 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instanceof Qt)return yt;if(t instanceof ee)return xt;if(t instanceof re)return vt;if(Array.isArray(t)){const e=t.length;let r;for(const e of t){const t=ae(e);if(r){if(r===t)continue;r=dt;break}r=t;}return _t(r||dt,e)}return pt}function oe(t){const e=typeof t;return null===t?\"\":\"string\"===e||\"number\"===e||\"boolean\"===e?String(t):t instanceof Xt||t instanceof Kt||t instanceof Qt||t instanceof ee||t instanceof re?t.toString():JSON.stringify(t)}class se{constructor(t,e){this.type=t,this.value=e;}static parse(t,e){if(2!==t.length)return e.error(`'literal' expression requires exactly one argument, but found ${t.length-1} instead.`);if(!ie(t[1]))return e.error(\"invalid value\");const r=t[1];let n=ae(r);const i=e.expectedType;return \"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new se(n,r)}evaluate(){return this.value}eachChild(){}outputDefined(){return  true}}class le{constructor(t){this.name=\"ExpressionEvaluationError\",this.message=t;}toJSON(){return this.message}}const ce={string:ut,number:ct,boolean:ht,object:pt};class ue{constructor(t,e){this.type=t,this.args=e;}static parse(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");let r,n=1;const i=t[0];if(\"array\"===i){let i,a;if(t.length>2){const r=t[1];if(\"string\"!=typeof r||!(r in ce)||\"object\"===r)return e.error('The item type argument of \"array\" must be one of string, number, boolean',1);i=ce[r],n++;}else i=dt;if(t.length>3){if(null!==t[2]&&(\"number\"!=typeof t[2]||t[2]<0||t[2]!==Math.floor(t[2])))return e.error('The length argument to \"array\" must be a positive integer literal',2);a=t[2],n++;}r=_t(i,a);}else {if(!ce[i])throw new Error(`Types doesn't contain name = ${i}`);r=ce[i];}const a=[];for(;n<t.length;n++){const r=e.parse(t[n],n,dt);if(!r)return null;a.push(r);}return new ue(r,a)}evaluate(t){for(let e=0;e<this.args.length;e++){const r=this.args[e].evaluate(t);if(!Tt(this.type,ae(r)))return r;if(e===this.args.length-1)throw new le(`Expected value to be of type ${bt(this.type)}, but found ${bt(ae(r))} instead.`)}throw new Error}eachChild(t){this.args.forEach(t);}outputDefined(){return this.args.every((t=>t.outputDefined()))}}const he={\"to-boolean\":ht,\"to-color\":ft,\"to-number\":ct,\"to-string\":ut};class fe{constructor(t,e){this.type=t,this.args=e;}static parse(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");const r=t[0];if(!he[r])throw new Error(`Can't parse ${r} as it is not part of the known types`);if((\"to-boolean\"===r||\"to-string\"===r)&&2!==t.length)return e.error(\"Expected one argument.\");const n=he[r],i=[];for(let r=1;r<t.length;r++){const n=e.parse(t[r],r,dt);if(!n)return null;i.push(n);}return new fe(n,i)}evaluate(t){switch(this.type.kind){case \"boolean\":return Boolean(this.args[0].evaluate(t));case \"color\":{let e,r;for(const n of this.args){if(e=n.evaluate(t),r=null,e 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le(`Could not convert ${JSON.stringify(e)} to number.`)}case \"formatted\":return Kt.fromString(oe(this.args[0].evaluate(t)));case \"resolvedImage\":return re.fromString(oe(this.args[0].evaluate(t)));default:return oe(this.args[0].evaluate(t))}}eachChild(t){this.args.forEach(t);}outputDefined(){return this.args.every((t=>t.outputDefined()))}}const pe=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"];class de{constructor(){this.globals=null,this.feature=null,this.featureState=null,this.formattedSection=null,this._parseColorCache={},this.availableImages=null,this.canonical=null;}id(){return this.feature&&\"id\"in this.feature?this.feature.id:null}geometryType(){return this.feature?\"number\"==typeof this.feature.type?pe[this.feature.type]:this.feature.type:null}geometry(){return this.feature&&\"geometry\"in this.feature?this.feature.geometry:null}canonicalID(){return this.canonical}properties(){return this.feature&&this.feature.properties||{}}parseColor(t){let e=this._parseColorCache[t];return e||(e=this._parseColorCache[t]=Xt.parse(t)),e}}class me{constructor(t,e,r=[],n,i=new st,a=[]){this.registry=t,this.path=r,this.key=r.map((t=>`[${t}]`)).join(\"\"),this.scope=i,this.errors=a,this.expectedType=n,this._isConstant=e;}parse(t,e,r,n,i={}){return e?this.concat(e,r,n)._parse(t,i):this._parse(t,i)}_parse(t,e){function r(t,e,r){return \"assert\"===r?new ue(e,[t]):\"coerce\"===r?new fe(e,[t]):t}if(null!==t&&\"string\"!=typeof t&&\"boolean\"!=typeof t&&\"number\"!=typeof t||(t=[\"literal\",t]),Array.isArray(t)){if(0===t.length)return this.error('Expected an array with at least one element. If you wanted a literal array, use [\"literal\", []].');const n=t[0];if(\"string\"!=typeof n)return this.error(`Expression name must be a string, but found ${typeof n} instead. 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Make sure \"${r}\" has been bound in an enclosing \"let\" expression before using it.`,1)}evaluate(t){return this.boundExpression.evaluate(t)}eachChild(){}outputDefined(){return  false}}class ve{constructor(t,e,r){this.type=t,this.index=e,this.input=r;}static parse(t,e){if(3!==t.length)return e.error(`Expected 2 arguments, but found ${t.length-1} instead.`);const r=e.parse(t[1],1,ct),n=e.parse(t[2],2,_t(e.expectedType||dt));if(!r||!n)return null;const i=n.type;return new ve(i.itemType,r,n)}evaluate(t){const e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new le(`Array index out of bounds: ${e} < 0.`);if(e>=r.length)throw new le(`Array index out of bounds: ${e} > ${r.length-1}.`);if(e!==Math.floor(e))throw new le(`Array index must be an integer, but found ${e} instead.`);return r[e]}eachChild(t){t(this.index),t(this.input);}outputDefined(){return  false}}class xe{constructor(t,e){this.type=ht,this.needle=t,this.haystack=e;}static parse(t,e){if(3!==t.length)return e.error(`Expected 2 arguments, but found ${t.length-1} instead.`);const r=e.parse(t[1],1,dt),n=e.parse(t[2],2,dt);return r&&n?kt(r.type,[ht,ut,ct,lt,dt])?new xe(r,n):e.error(`Expected first argument to be of type boolean, string, number or null, but found ${bt(r.type)} instead`):null}evaluate(t){const e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return  false;if(!At(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new le(`Expected first argument to be of type boolean, string, number or null, but found ${bt(ae(e))} instead.`);if(!At(r,[\"string\",\"array\"]))throw new le(`Expected second argument to be of type array or string, but found ${bt(ae(r))} instead.`);return r.indexOf(e)>=0}eachChild(t){t(this.needle),t(this.haystack);}outputDefined(){return  true}}class _e{constructor(t,e,r){this.type=ct,this.needle=t,this.haystack=e,this.fromIndex=r;}static parse(t,e){if(t.length<=2||t.length>=5)return e.error(`Expected 3 or 4 arguments, but found ${t.length-1} 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be{constructor(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a;}static parse(t,e){if(t.length<5)return e.error(`Expected at least 4 arguments, but found only ${t.length-1}.`);if(t.length%2!=1)return e.error(\"Expected an even number of arguments.\");let r,n;e.expectedType&&\"value\"!==e.expectedType.kind&&(n=e.expectedType);const i={},a=[];for(let o=2;o<t.length-1;o+=2){let s=t[o];const l=t[o+1];Array.isArray(s)||(s=[s]);const c=e.concat(o);if(0===s.length)return c.error(\"Expected at least one branch label.\");for(const t of s){if(\"number\"!=typeof t&&\"string\"!=typeof t)return c.error(\"Branch labels must be numbers or strings.\");if(\"number\"==typeof t&&Math.abs(t)>Number.MAX_SAFE_INTEGER)return c.error(`Branch labels must be integers no larger than ${Number.MAX_SAFE_INTEGER}.`);if(\"number\"==typeof t&&Math.floor(t)!==t)return c.error(\"Numeric branch labels must be integer values.\");if(r){if(c.checkSubtype(r,ae(t)))return null}else r=ae(t);if(void 0!==i[String(t)])return c.error(\"Branch labels must be unique.\");i[String(t)]=a.length;}const u=e.parse(l,o,n);if(!u)return null;n=n||u.type,a.push(u);}const o=e.parse(t[1],1,dt);if(!o)return null;const s=e.parse(t[t.length-1],t.length-1,n);return s?\"value\"!==o.type.kind&&e.concat(1).checkSubtype(r,o.type)?null:new be(r,n,o,i,a,s):null}evaluate(t){const e=this.input.evaluate(t);return (ae(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)}eachChild(t){t(this.input),this.outputs.forEach(t),t(this.otherwise);}outputDefined(){return this.outputs.every((t=>t.outputDefined()))&&this.otherwise.outputDefined()}}class we{constructor(t,e,r){this.type=t,this.branches=e,this.otherwise=r;}static parse(t,e){if(t.length<4)return e.error(`Expected at least 3 arguments, but found only ${t.length-1}.`);if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");let r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);const n=[];for(let i=1;i<t.length-1;i+=2){const a=e.parse(t[i],i,ht);if(!a)return null;const o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type;}const i=e.parse(t[t.length-1],t.length-1,r);if(!i)return null;if(!r)throw new Error(\"Can't infer output type\");return new we(r,n,i)}evaluate(t){for(const[e,r]of this.branches)if(e.evaluate(t))return r.evaluate(t);return this.otherwise.evaluate(t)}eachChild(t){for(const[e,r]of this.branches)t(e),t(r);t(this.otherwise);}outputDefined(){return this.branches.every((([t,e])=>e.outputDefined()))&&this.otherwise.outputDefined()}}class Te{constructor(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n;}static parse(t,e){if(t.length<=2||t.length>=5)return e.error(`Expected 3 or 4 arguments, but found ${t.length-1} instead.`);const r=e.parse(t[1],1,dt),n=e.parse(t[2],2,ct);if(!r||!n)return null;if(!kt(r.type,[_t(dt),ut,dt]))return e.error(`Expected 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e.error(`Expected at least 4 arguments, but found only ${t.length-1}.`);if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");const r=e.parse(t[1],1,ct);if(!r)return null;const n=[];let i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(let r=1;r<t.length;r+=2){const a=1===r?-1/0:t[r],o=t[r+1],s=r,l=r+1;if(\"number\"!=typeof a)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',s);if(n.length&&n[n.length-1][0]>=a)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',s);const c=e.parse(o,l,i);if(!c)return null;i=i||c.type,n.push([a,c]);}return new Ae(i,r,n)}evaluate(t){const e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);const n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);const i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[ke(e,n)].evaluate(t)}eachChild(t){t(this.input);for(const e of this.outputs)t(e);}outputDefined(){return this.outputs.every((t=>t.outputDefined()))}}function Me(t){return t&&t.__esModule&&Object.prototype.hasOwnProperty.call(t,\"default\")?t.default:t}var Se=Ee;function Ee(t,e,r,n){this.cx=3*t,this.bx=3*(r-t)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*e,this.by=3*(n-e)-this.cy,this.ay=1-this.cy-this.by,this.p1x=t,this.p1y=e,this.p2x=r,this.p2y=n;}Ee.prototype={sampleCurveX:function(t){return ((this.ax*t+this.bx)*t+this.cx)*t},sampleCurveY:function(t){return ((this.ay*t+this.by)*t+this.cy)*t},sampleCurveDerivativeX:function(t){return (3*this.ax*t+2*this.bx)*t+this.cx},solveCurveX:function(t,e){if(void 0===e&&(e=1e-6),t<0)return 0;if(t>1)return 1;for(var r=t,n=0;n<8;n++){var i=this.sampleCurveX(r)-t;if(Math.abs(i)<e)return r;var a=this.sampleCurveDerivativeX(r);if(Math.abs(a)<1e-6)break;r-=i/a;}var o=0,s=1;for(r=t,n=0;n<20&&(i=this.sampleCurveX(r),!(Math.abs(i-t)<e));n++)t>i?o=r:s=r,r=.5*(s-o)+o;return r},solve:function(t,e){return this.sampleCurveY(this.solveCurveX(t,e))}};var Ce=Me(Se);function Le(t,e,r){return t+r*(e-t)}function Ie(t,e,r){return t.map(((t,n)=>Le(t,e[n],r)))}const Pe={number:Le,color:function(t,e,r,n=\"rgb\"){switch(n){case \"rgb\":{const[n,i,a,o]=Ie(t.rgb,e.rgb,r);return new Xt(n,i,a,o,false)}case \"hcl\":{const[n,i,a,o]=t.hcl,[s,l,c,u]=e.hcl;let h,f;if(isNaN(n)||isNaN(s))isNaN(n)?isNaN(s)?h=NaN:(h=s,1!==a&&0!==a||(f=l)):(h=n,1!==c&&0!==c||(f=i));else {let t=s-n;s>n&&t>180?t-=360:s<n&&n-s>180&&(t+=360),h=n+r*t;}const[p,d,m,g]=function([t,e,r,n]){return t=isNaN(t)?0:t*Ot,jt([r,Math.cos(t)*e,Math.sin(t)*e,n])}([h,null!=f?f:Le(i,l,r),Le(a,c,r),Le(o,u,r)]);return new Xt(p,d,m,g,false)}case \"lab\":{const[n,i,a,o]=jt(Ie(t.lab,e.lab,r));return new Xt(n,i,a,o,false)}}},array:Ie,padding:function(t,e,r){return new Qt(Ie(t.values,e.values,r))},variableAnchorOffsetCollection:function(t,e,r){const n=t.values,i=e.values;if(n.length!==i.length)throw new le(`Cannot interpolate values of different length. from: ${t.toString()}, to: ${e.toString()}`);const a=[];for(let t=0;t<n.length;t+=2){if(n[t]!==i[t])throw new le(`Cannot interpolate values containing mismatched anchors. from[${t}]: ${n[t]}, to[${t}]: ${i[t]}`);a.push(n[t]);const[e,o]=n[t+1],[s,l]=i[t+1];a.push([Le(e,s,r),Le(o,l,r)]);}return new ee(a)}};class ze{constructor(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(const[t,e]of i)this.labels.push(t),this.outputs.push(e);}static interpolationFactor(t,e,r,n){let i=0;if(\"exponential\"===t.name)i=Oe(e,t.base,r,n);else if(\"linear\"===t.name)i=Oe(e,1,r,n);else if(\"cubic-bezier\"===t.name){const a=t.controlPoints;i=new Ce(a[0],a[1],a[2],a[3]).solve(Oe(e,1,r,n));}return i}static 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e.error(\"Expected one argument.\");const r=t[1];if(\"object\"!=typeof r||Array.isArray(r))return e.error(\"Collator options argument must be an object.\");const n=e.parse(void 0!==r[\"case-sensitive\"]&&r[\"case-sensitive\"],1,ht);if(!n)return null;const i=e.parse(void 0!==r[\"diacritic-sensitive\"]&&r[\"diacritic-sensitive\"],1,ht);if(!i)return null;let a=null;return r.locale&&(a=e.parse(r.locale,1,ut),!a)?null:new Ge(n,i,a)}evaluate(t){return new $t(this.caseSensitive.evaluate(t),this.diacriticSensitive.evaluate(t),this.locale?this.locale.evaluate(t):null)}eachChild(t){t(this.caseSensitive),t(this.diacriticSensitive),this.locale&&t(this.locale);}outputDefined(){return  false}}class Ze{constructor(t,e,r,n,i){this.type=ut,this.number=t,this.locale=e,this.currency=r,this.minFractionDigits=n,this.maxFractionDigits=i;}static parse(t,e){if(3!==t.length)return e.error(\"Expected two arguments.\");const r=e.parse(t[1],1,ct);if(!r)return null;const n=t[2];if(\"object\"!=typeof n||Array.isArray(n))return e.error(\"NumberFormat options argument must be an object.\");let i=null;if(n.locale&&(i=e.parse(n.locale,1,ut),!i))return null;let a=null;if(n.currency&&(a=e.parse(n.currency,1,ut),!a))return null;let o=null;if(n[\"min-fraction-digits\"]&&(o=e.parse(n[\"min-fraction-digits\"],1,ct),!o))return null;let s=null;return n[\"max-fraction-digits\"]&&(s=e.parse(n[\"max-fraction-digits\"],1,ct),!s)?null:new Ze(r,i,a,o,s)}evaluate(t){return new Intl.NumberFormat(this.locale?this.locale.evaluate(t):[],{style:this.currency?\"currency\":\"decimal\",currency:this.currency?this.currency.evaluate(t):void 0,minimumFractionDigits:this.minFractionDigits?this.minFractionDigits.evaluate(t):void 0,maximumFractionDigits:this.maxFractionDigits?this.maxFractionDigits.evaluate(t):void 0}).format(this.number.evaluate(t))}eachChild(t){t(this.number),this.locale&&t(this.locale),this.currency&&t(this.currency),this.minFractionDigits&&t(this.minFractionDigits),this.maxFractionDigits&&t(this.maxFractionDigits);}outputDefined(){return  false}}class We{constructor(t){this.type=gt,this.sections=t;}static parse(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");const r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");const n=[];let i=false;for(let r=1;r<=t.length-1;++r){const a=t[r];if(i&&\"object\"==typeof a&&!Array.isArray(a)){i=false;let t=null;if(a[\"font-scale\"]&&(t=e.parse(a[\"font-scale\"],1,ct),!t))return null;let r=null;if(a[\"text-font\"]&&(r=e.parse(a[\"text-font\"],1,_t(ut)),!r))return null;let o=null;if(a[\"text-color\"]&&(o=e.parse(a[\"text-color\"],1,ft),!o))return null;const s=n[n.length-1];s.scale=t,s.font=r,s.textColor=o;}else {const a=e.parse(t[r],1,dt);if(!a)return null;const o=a.type.kind;if(\"string\"!==o&&\"value\"!==o&&\"null\"!==o&&\"resolvedImage\"!==o)return e.error(\"Formatted text type must be 'string', 'value', 'image' or 'null'.\");i=true,n.push({content:a,scale:null,font:null,textColor:null});}}return new We(n)}evaluate(t){return new Kt(this.sections.map((e=>{const r=e.content.evaluate(t);return ae(r)===vt?new Jt(\"\",r,null,null,null):new Jt(oe(r),null,e.scale?e.scale.evaluate(t):null,e.font?e.font.evaluate(t).join(\",\"):null,e.textColor?e.textColor.evaluate(t):null)})))}eachChild(t){for(const e of this.sections)t(e.content),e.scale&&t(e.scale),e.font&&t(e.font),e.textColor&&t(e.textColor);}outputDefined(){return  false}}class Ye{constructor(t){this.type=vt,this.input=t;}static parse(t,e){if(2!==t.length)return e.error(\"Expected two arguments.\");const r=e.parse(t[1],1,ut);return r?new Ye(r):e.error(\"No image name provided.\")}evaluate(t){const e=this.input.evaluate(t),r=re.fromString(e);return r&&t.availableImages&&(r.available=t.availableImages.indexOf(e)>-1),r}eachChild(t){t(this.input);}outputDefined(){return  false}}class Xe{constructor(t){this.type=ct,this.input=t;}static parse(t,e){if(2!==t.length)return e.error(`Expected 1 argument, but found ${t.length-1} instead.`);const r=e.parse(t[1],1);return r?\"array\"!==r.type.kind&&\"string\"!==r.type.kind&&\"value\"!==r.type.kind?e.error(`Expected argument of type string or array, but found ${bt(r.type)} instead.`):new Xe(r):null}evaluate(t){const e=this.input.evaluate(t);if(\"string\"==typeof e)return e.length;if(Array.isArray(e))return e.length;throw new le(`Expected value to be of type string or array, but found ${bt(ae(e))} instead.`)}eachChild(t){t(this.input);}outputDefined(){return  false}}const $e=8192;function Je(t,e){const r=(180+t[0])/360,n=(a=t[1],(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+a*Math.PI/360)))/360),i=Math.pow(2,e.z);var a;return [Math.round(r*i*$e),Math.round(n*i*$e)]}function Ke(t,e){const r=Math.pow(2,e.z),n=(t[0]/$e+e.x)/r,i=(t[1]/$e+e.y)/r;return [(o=n,360*o-180),(a=i,360/Math.PI*Math.atan(Math.exp((180-360*a)*Math.PI/180))-90)];var a,o;}function Qe(t,e){t[0]=Math.min(t[0],e[0]),t[1]=Math.min(t[1],e[1]),t[2]=Math.max(t[2],e[0]),t[3]=Math.max(t[3],e[1]);}function tr(t,e){return !(t[0]<=e[0]||t[2]>=e[2]||t[1]<=e[1]||t[3]>=e[3])}function er(t,e,r){const n=t[0]-e[0],i=t[1]-e[1],a=t[0]-r[0],o=t[1]-r[1];return n*o-a*i==0&&n*a<=0&&i*o<=0}function rr(t,e,r,n){const i=[e[0]-t[0],e[1]-t[1]];return 0!=(a=[n[0]-r[0],n[1]-r[1]],o=i,a[0]*o[1]-a[1]*o[0])&&!(!lr(t,e,r,n)||!lr(r,n,t,e));var a,o;}function nr(t,e,r){for(const n of r)for(let r=0;r<n.length-1;++r)if(rr(t,e,n[r],n[r+1]))return  true;return  false}function ir(t,e,r=false){let n=false;for(const s of e)for(let e=0;e<s.length-1;e++){if(er(t,s[e],s[e+1]))return r;i=t,a=s[e],o=s[e+1],a[1]>i[1]!=o[1]>i[1]&&i[0]<(o[0]-a[0])*(i[1]-a[1])/(o[1]-a[1])+a[0]&&(n=!n);}var i,a,o;return n}function ar(t,e){for(const r of e)if(ir(t,r))return  true;return  false}function or(t,e){for(const r of t)if(!ir(r,e))return  false;for(let r=0;r<t.length-1;++r)if(nr(t[r],t[r+1],e))return  false;return  true}function sr(t,e){for(const r of e)if(or(t,r))return  true;return  false}function lr(t,e,r,n){const i=t[0]-r[0],a=t[1]-r[1],o=e[0]-r[0],s=e[1]-r[1],l=n[0]-r[0],c=n[1]-r[1],u=i*c-l*a,h=o*c-l*s;return u>0&&h<0||u<0&&h>0}function cr(t,e,r){const n=[];for(let i=0;i<t.length;i++){const a=[];for(let n=0;n<t[i].length;n++){const o=Je(t[i][n],r);Qe(e,o),a.push(o);}n.push(a);}return n}function ur(t,e,r){const n=[];for(let i=0;i<t.length;i++){const a=cr(t[i],e,r);n.push(a);}return n}function hr(t,e,r,n){if(t[0]<r[0]||t[0]>r[2]){const e=.5*n;let i=t[0]-r[0]>e?-n:r[0]-t[0]>e?n:0;0===i&&(i=t[0]-r[2]>e?-n:r[2]-t[0]>e?n:0),t[0]+=i;}Qe(e,t);}function fr(t,e,r,n){const i=Math.pow(2,n.z)*$e,a=[n.x*$e,n.y*$e],o=[];for(const n of t)for(const t of n){const n=[t.x+a[0],t.y+a[1]];hr(n,e,r,i),o.push(n);}return o}function pr(t,e,r,n){const i=Math.pow(2,n.z)*$e,a=[n.x*$e,n.y*$e],o=[];for(const r of t){const t=[];for(const n of r){const r=[n.x+a[0],n.y+a[1]];Qe(e,r),t.push(r);}o.push(t);}if(e[2]-e[0]<=i/2){(s=e)[0]=s[1]=1/0,s[2]=s[3]=-1/0;for(const t of o)for(const n of t)hr(n,e,r,i);}var s;return o}class dr{constructor(t,e){this.type=ht,this.geojson=t,this.geometries=e;}static parse(t,e){if(2!==t.length)return e.error(`'within' expression requires exactly one argument, but found ${t.length-1} instead.`);if(ie(t[1])){const e=t[1];if(\"FeatureCollection\"===e.type){const t=[];for(const r of e.features){const{type:e,coordinates:n}=r.geometry;\"Polygon\"===e&&t.push(n),\"MultiPolygon\"===e&&t.push(...n);}if(t.length)return new dr(e,{type:\"MultiPolygon\",coordinates:t})}else if(\"Feature\"===e.type){const t=e.geometry.type;if(\"Polygon\"===t||\"MultiPolygon\"===t)return new dr(e,e.geometry)}else if(\"Polygon\"===e.type||\"MultiPolygon\"===e.type)return new dr(e,e)}return e.error(\"'within' expression requires valid geojson 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true}]]},any:{type:ht,overloads:[[[ht,ht],(t,[e,r])=>e.evaluate(t)||r.evaluate(t)],[nn(ht),(t,e)=>{for(const r of e)if(r.evaluate(t))return  true;return  false}]]},\"!\":[ht,[ht],(t,[e])=>!e.evaluate(t)],\"is-supported-script\":[ht,[ut],(t,[e])=>{const r=t.globals&&t.globals.isSupportedScript;return !r||r(e.evaluate(t))}],upcase:[ut,[ut],(t,[e])=>e.evaluate(t).toUpperCase()],downcase:[ut,[ut],(t,[e])=>e.evaluate(t).toLowerCase()],concat:[ut,nn(dt),(t,e)=>e.map((e=>oe(e.evaluate(t)))).join(\"\")],\"resolved-locale\":[ut,[mt],(t,[e])=>e.evaluate(t).resolvedLocale()]});class Tn{constructor(t,e){var r;this.expression=t,this._warningHistory={},this._evaluator=new de,this._defaultValue=e?\"color\"===(r=e).type&&mn(r.default)?new Xt(0,0,0,0):\"color\"===r.type?Xt.parse(r.default)||null:\"padding\"===r.type?Qt.parse(r.default)||null:\"variableAnchorOffsetCollection\"===r.type?ee.parse(r.default)||null:void 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this._warningHistory[t.message]||(this._warningHistory[t.message]=true,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}}}function kn(t){return Array.isArray(t)&&t.length>0&&\"string\"==typeof t[0]&&t[0]in Kr}function An(t,e){const r=new me(Kr,an,[],e?function(t){const e={color:ft,string:ut,number:ct,enum:ut,boolean:ht,formatted:gt,padding:yt,resolvedImage:vt,variableAnchorOffsetCollection:xt};return \"array\"===t.type?_t(e[t.value]||dt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?cn(new Tn(n,e)):un(r.errors)}class Mn{constructor(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!sn(e.expression);}evaluateWithoutErrorHandling(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)}evaluate(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)}}class Sn{constructor(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!sn(e.expression),this.interpolationType=n;}evaluateWithoutErrorHandling(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)}evaluate(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)}interpolationFactor(t,e,r){return this.interpolationType?ze.interpolationFactor(this.interpolationType,t,e,r):0}}function En(t,e){const r=An(t,e);if(\"error\"===r.result)return r;const n=r.value.expression,i=on(n);if(!i&&!hn(e))return un([new ot(\"\",\"data expressions not supported\")]);const a=ln(n,[\"zoom\"]);if(!a&&!fn(e))return un([new ot(\"\",\"zoom expressions not supported\")]);const o=Ln(n);if(!o&&!a)return un([new ot(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(o instanceof ot)return un([o]);if(o instanceof ze&&!pn(e))return un([new ot(\"\",'\"interpolate\" expressions 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Int32Array(e+r+this.keys.length+this.bboxes.length);n[0]=this.extent,n[1]=this.n,n[2]=this.padding;let i=e;for(let e=0;e<t.length;e++){const r=t[e];n[3+e]=i,n.set(r,i),i+=r.length;}return n[3+t.length]=i,n.set(this.keys,i),i+=this.keys.length,n[3+t.length+1]=i,n.set(this.bboxes,i),i+=this.bboxes.length,n.buffer}static serialize(t,e){const r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}}static deserialize(t){return new ki(t.buffer)}}const Ai={};function Mi(t,e,r={}){if(Ai[t])throw new Error(`${t} is already 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instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||t instanceof Blob||t instanceof Error||Si(t)||S(t)||ArrayBuffer.isView(t)||t instanceof ImageData)}function Li(t,e){if(Ci(t)){if((Si(t)||S(t))&&e&&e.push(t),ArrayBuffer.isView(t)){const r=t;e&&e.push(r.buffer);}return t instanceof ImageData&&e&&e.push(t.data.buffer),t}if(Array.isArray(t)){const r=[];for(const n of t)r.push(Li(n,e));return r}if(\"object\"!=typeof t)throw new Error(\"can't serialize object of type \"+typeof t);const r=Ei(t);if(!r)throw new Error(`can't serialize object of unregistered class ${t.constructor.name}`);if(!Ai[r])throw new Error(`${r} is not registered.`);const{klass:n}=Ai[r],i=n.serialize?n.serialize(t,e):{};if(n.serialize){if(e&&i===e[e.length-1])throw new Error(\"statically serialized object won't survive transfer of $name property\")}else {for(const n in t){if(!t.hasOwnProperty(n))continue;if(Ai[r].omit.indexOf(n)>=0)continue;const 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Hi{constructor(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Pi,this.transition={});}isSupportedScript(t){return function(t,e){for(const r of t)if(!Ui(r.charCodeAt(0),e))return  false;return  true}(t,\"loaded\"===qi.getRTLTextPluginStatus())}crossFadingFactor(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)}getCrossfadeParameters(){const t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}}}class Gi{constructor(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(mn(t))return new Cn(t,e);if(kn(t)){const r=En(t,e);if(\"error\"===r.result)throw new Error(r.value.map((t=>`${t.key}: ${t.message}`)).join(\", \"));return r.value}{let r=t;return 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Yi{constructor(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r);}possiblyEvaluate(t,e,r){const n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);{const o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;const e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}}return i}}class Xi{constructor(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues);}possiblyEvaluate(t,e,r){const n=new Ki(this._properties);for(const i of Object.keys(this._values))n._values[i]=this._values[i].possiblyEvaluate(t,e,r);return n}hasTransition(){for(const t of Object.keys(this._values))if(this._values[t].prior)return  true;return  false}}class $i{constructor(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues);}hasValue(t){return void 0!==this._values[t].value}getValue(t){return b(this._values[t].value)}setValue(t,e){this._values[t]=new Gi(this._values[t].property,null===e?void 0:b(e));}serialize(){const t={};for(const e of Object.keys(this._values)){const r=this.getValue(e);void 0!==r&&(t[e]=r);}return t}possiblyEvaluate(t,e,r){const n=new Ki(this._properties);for(const i of Object.keys(this._values))n._values[i]=this._values[i].possiblyEvaluate(t,e,r);return n}}class Ji{constructor(t,e,r){this.property=t,this.value=e,this.parameters=r;}isConstant(){return \"constant\"===this.value.kind}constantOr(t){return \"constant\"===this.value.kind?this.value.value:t}evaluate(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)}}class Ki{constructor(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues);}get(t){return this._values[t]}}class Qi{constructor(t){this.specification=t;}possiblyEvaluate(t,e){if(t.isDataDriven())throw new Error(\"Value should not be data driven\");return t.expression.evaluate(e)}interpolate(t,e,r){const n=this.specification.type,i=Pe[n];return i?i(t,e,r):t}}class ta{constructor(t,e){this.specification=t,this.overrides=e;}possiblyEvaluate(t,e,r,n){return \"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ji(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ji(this,t.expression,e)}interpolate(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ji(this,{kind:\"constant\",value:void 0},t.parameters);const n=this.specification.type,i=Pe[n];if(i){const n=i(t.value.value,e.value.value,r);return new Ji(this,{kind:\"constant\",value:n},t.parameters)}return t}evaluate(t,e,r,n,i,a){return \"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)}}class ea extends ta{possiblyEvaluate(t,e,r,n){if(void 0===t.value)return new Ji(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){const i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ji(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){const r=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Ji(this,{kind:\"constant\",value:r},e)}return new Ji(this,t.expression,e)}evaluate(t,e,r,n,i,a){if(\"source\"===t.kind){const o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return \"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value}_calculate(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}}interpolate(t){return t}}class ra{constructor(t){this.specification=t;}possiblyEvaluate(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){const i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Hi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Hi(Math.floor(e.zoom),e)),t.expression.evaluate(new Hi(Math.floor(e.zoom+1),e)),e)}}_calculate(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}}interpolate(t){return t}}class na{constructor(t){this.specification=t;}possiblyEvaluate(t,e,r,n){return !!t.expression.evaluate(e,null,{},r,n)}interpolate(){return  false}}class ia{constructor(t){this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[];for(const e in t){const r=t[e];r.specification.overridable&&this.overridableProperties.push(e);const n=this.defaultPropertyValues[e]=new Gi(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Zi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({});}}}Mi(\"DataDrivenProperty\",ta),Mi(\"DataConstantProperty\",Qi),Mi(\"CrossFadedDataDrivenProperty\",ea),Mi(\"CrossFadedProperty\",ra),Mi(\"ColorRampProperty\",na);const aa=\"-transition\";class oa extends G{constructor(t,e){if(super(),this.id=t.id,this.type=t.type,this._featureFilter={filter:()=>true,needGeometry:false},\"custom\"!==t.type&&(this.metadata=t.metadata,this.minzoom=t.minzoom,this.maxzoom=t.maxzoom,\"background\"!==t.type&&(this.source=t.source,this.sourceLayer=t[\"source-layer\"],this.filter=t.filter),e.layout&&(this._unevaluatedLayout=new $i(e.layout)),e.paint)){this._transitionablePaint=new Wi(e.paint);for(const e in t.paint)this.setPaintProperty(e,t.paint[e],{validate:false});for(const e in t.layout)this.setLayoutProperty(e,t.layout[e],{validate:false});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ki(e.paint);}}getCrossfadeParameters(){return this._crossfadeParameters}getLayoutProperty(t){return \"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)}setLayoutProperty(t,e,r={}){if(null!=e){const n=`layers.${this.id}.layout.${t}`;if(this._validate(wi,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e;}getPaintProperty(t){return t.endsWith(aa)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)}setPaintProperty(t,e,r={}){if(null!=e){const n=`layers.${this.id}.paint.${t}`;if(this._validate(bi,n,t,e,r))return  false}if(t.endsWith(aa))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),false;{const r=this._transitionablePaint._values[t],n=\"cross-faded-data-driven\"===r.property.specification[\"property-type\"],i=r.value.isDataDriven(),a=r.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);const o=this._transitionablePaint._values[t].value;return o.isDataDriven()||i||n||this._handleOverridablePaintPropertyUpdate(t,a,o)}}_handleSpecialPaintPropertyUpdate(t){}_handleOverridablePaintPropertyUpdate(t,e,r){return  false}isHidden(t){return !!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility}updateTransitions(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint);}hasTransition(){return this._transitioningPaint.hasTransition()}recalculate(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e);}serialize(){const t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),_(t,((t,e)=>!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)))}_validate(t,e,r,n,i={}){return (!i||false!==i.validate)&&Ti(this,t.call(vi,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Z,style:{glyphs:true,sprite:true}}))}is3D(){return  false}isTileClipped(){return  false}hasOffscreenPass(){return  false}resize(){}isStateDependent(){for(const t in this.paint._values){const e=this.paint.get(t);if(e instanceof Ji&&hn(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return  true}return  false}}const sa={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array};class la{constructor(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8;}}class ca{constructor(){this.isTransferred=false,this.capacity=-1,this.resize(0);}static serialize(t,e){return t._trim(),e&&(t.isTransferred=true,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}}static deserialize(t){const e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e}_trim(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews());}clear(){this.length=0;}resize(t){this.reserve(t),this.length=t;}reserve(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);const e=this.uint8;this._refreshViews(),e&&this.uint8.set(e);}}_refreshViews(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")}}function ua(t,e=1){let r=0,n=0;return {members:t.map((t=>{const i=(s=t.type,sa[s].BYTES_PER_ELEMENT),a=r=ha(r,Math.max(e,i)),o=t.components||1;var s;return n=Math.max(n,i),r+=i*o,{name:t.name,type:t.type,components:o,offset:a}})),size:ha(r,Math.max(n,e)),alignment:e}}function ha(t,e){return Math.ceil(t/e)*e}class fa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer);}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t}}fa.prototype.bytesPerElement=4,Mi(\"StructArrayLayout2i4\",fa);class pa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer);}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t}}pa.prototype.bytesPerElement=6,Mi(\"StructArrayLayout3i6\",pa);class da extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer);}emplaceBack(t,e,r,n){const i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)}emplace(t,e,r,n,i){const a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t}}da.prototype.bytesPerElement=8,Mi(\"StructArrayLayout4i8\",da);class ma extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer);}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t}}ma.prototype.bytesPerElement=12,Mi(\"StructArrayLayout2i4i12\",ma);class ga extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer);}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t}}ga.prototype.bytesPerElement=8,Mi(\"StructArrayLayout2i4ub8\",ga);class ya extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer);}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t}}ya.prototype.bytesPerElement=8,Mi(\"StructArrayLayout2f8\",ya);class va extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer);}emplaceBack(t,e,r,n,i,a,o,s,l,c){const u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)}emplace(t,e,r,n,i,a,o,s,l,c,u){const h=10*t;return this.uint16[h+0]=e,this.uint16[h+1]=r,this.uint16[h+2]=n,this.uint16[h+3]=i,this.uint16[h+4]=a,this.uint16[h+5]=o,this.uint16[h+6]=s,this.uint16[h+7]=l,this.uint16[h+8]=c,this.uint16[h+9]=u,t}}va.prototype.bytesPerElement=20,Mi(\"StructArrayLayout10ui20\",va);class xa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer);}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h){const f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,i,a,o,s,l,c,u,h)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f){const p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t}}xa.prototype.bytesPerElement=24,Mi(\"StructArrayLayout4i4ui4i24\",xa);class _a extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer);}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t}}_a.prototype.bytesPerElement=12,Mi(\"StructArrayLayout3f12\",_a);class ba extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer);}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.uint32[r+0]=e,t}}ba.prototype.bytesPerElement=4,Mi(\"StructArrayLayout1ul4\",ba);class wa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer);}emplaceBack(t,e,r,n,i,a,o,s,l){const c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)}emplace(t,e,r,n,i,a,o,s,l,c){const u=10*t,h=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[h+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t}}wa.prototype.bytesPerElement=20,Mi(\"StructArrayLayout6i1ul2ui20\",wa);class Ta extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer);}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t}}Ta.prototype.bytesPerElement=12,Mi(\"StructArrayLayout2i2i2i12\",Ta);class ka extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer);}emplaceBack(t,e,r,n,i){const a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)}emplace(t,e,r,n,i,a){const o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t}}ka.prototype.bytesPerElement=16,Mi(\"StructArrayLayout2f1f2i16\",ka);class Aa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer);}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=16*t,l=4*t,c=8*t;return this.uint8[s+0]=e,this.uint8[s+1]=r,this.float32[l+1]=n,this.float32[l+2]=i,this.int16[c+6]=a,this.int16[c+7]=o,t}}Aa.prototype.bytesPerElement=16,Mi(\"StructArrayLayout2ub2f2i16\",Aa);class Ma extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer);}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t}}Ma.prototype.bytesPerElement=6,Mi(\"StructArrayLayout3ui6\",Ma);class Sa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer);}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g){const y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y){const v=24*t,x=12*t,_=48*t;return this.int16[v+0]=e,this.int16[v+1]=r,this.uint16[v+2]=n,this.uint16[v+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[v+10]=l,this.uint16[v+11]=c,this.uint16[v+12]=u,this.float32[x+7]=h,this.float32[x+8]=f,this.uint8[_+36]=p,this.uint8[_+37]=d,this.uint8[_+38]=m,this.uint32[x+10]=g,this.int16[v+22]=y,t}}Sa.prototype.bytesPerElement=48,Mi(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Sa);class Ea extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer);}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S){const E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S,E){const C=32*t,L=16*t;return this.int16[C+0]=e,this.int16[C+1]=r,this.int16[C+2]=n,this.int16[C+3]=i,this.int16[C+4]=a,this.int16[C+5]=o,this.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=h,this.uint16[C+11]=f,this.uint16[C+12]=p,this.uint16[C+13]=d,this.uint16[C+14]=m,this.uint16[C+15]=g,this.uint16[C+16]=y,this.uint16[C+17]=v,this.uint16[C+18]=x,this.uint16[C+19]=_,this.uint16[C+20]=b,this.uint16[C+21]=w,this.uint16[C+22]=T,this.uint32[L+12]=k,this.float32[L+13]=A,this.float32[L+14]=M,this.uint16[C+30]=S,this.uint16[C+31]=E,t}}Ea.prototype.bytesPerElement=64,Mi(\"StructArrayLayout8i15ui1ul2f2ui64\",Ea);class Ca extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer);}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.float32[r+0]=e,t}}Ca.prototype.bytesPerElement=4,Mi(\"StructArrayLayout1f4\",Ca);class La extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer);}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=6*t,a=3*t;return this.uint16[i+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,t}}La.prototype.bytesPerElement=12,Mi(\"StructArrayLayout1ui2f12\",La);class Ia extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer);}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t}}Ia.prototype.bytesPerElement=8,Mi(\"StructArrayLayout1ul2ui8\",Ia);class Pa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer);}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t}}Pa.prototype.bytesPerElement=4,Mi(\"StructArrayLayout2ui4\",Pa);class za extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer);}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.uint16[r+0]=e,t}}za.prototype.bytesPerElement=2,Mi(\"StructArrayLayout1ui2\",za);class Oa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer);}emplaceBack(t,e,r,n){const i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)}emplace(t,e,r,n,i){const a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t}}Oa.prototype.bytesPerElement=16,Mi(\"StructArrayLayout4f16\",Oa);class Da extends la{get anchorPointX(){return this._structArray.int16[this._pos2+0]}get anchorPointY(){return this._structArray.int16[this._pos2+1]}get x1(){return this._structArray.int16[this._pos2+2]}get y1(){return this._structArray.int16[this._pos2+3]}get x2(){return this._structArray.int16[this._pos2+4]}get y2(){return this._structArray.int16[this._pos2+5]}get featureIndex(){return this._structArray.uint32[this._pos4+3]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+8]}get bucketIndex(){return this._structArray.uint16[this._pos2+9]}get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}}Da.prototype.size=20;class Ra extends wa{get(t){return new Da(this,t)}}Mi(\"CollisionBoxArray\",Ra);class Fa extends la{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get glyphStartIndex(){return this._structArray.uint16[this._pos2+2]}get numGlyphs(){return this._structArray.uint16[this._pos2+3]}get vertexStartIndex(){return this._structArray.uint32[this._pos4+2]}get lineStartIndex(){return this._structArray.uint32[this._pos4+3]}get lineLength(){return this._structArray.uint32[this._pos4+4]}get segment(){return this._structArray.uint16[this._pos2+10]}get lowerSize(){return this._structArray.uint16[this._pos2+11]}get upperSize(){return this._structArray.uint16[this._pos2+12]}get lineOffsetX(){return this._structArray.float32[this._pos4+7]}get lineOffsetY(){return this._structArray.float32[this._pos4+8]}get writingMode(){return this._structArray.uint8[this._pos1+36]}get placedOrientation(){return this._structArray.uint8[this._pos1+37]}set placedOrientation(t){this._structArray.uint8[this._pos1+37]=t;}get hidden(){return this._structArray.uint8[this._pos1+38]}set hidden(t){this._structArray.uint8[this._pos1+38]=t;}get crossTileID(){return this._structArray.uint32[this._pos4+10]}set crossTileID(t){this._structArray.uint32[this._pos4+10]=t;}get associatedIconIndex(){return this._structArray.int16[this._pos2+22]}}Fa.prototype.size=48;class Ba extends Sa{get(t){return new Fa(this,t)}}Mi(\"PlacedSymbolArray\",Ba);class Na extends la{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get rightJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+2]}get centerJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+3]}get leftJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+4]}get verticalPlacedTextSymbolIndex(){return this._structArray.int16[this._pos2+5]}get placedIconSymbolIndex(){return this._structArray.int16[this._pos2+6]}get verticalPlacedIconSymbolIndex(){return this._structArray.int16[this._pos2+7]}get key(){return this._structArray.uint16[this._pos2+8]}get textBoxStartIndex(){return this._structArray.uint16[this._pos2+9]}get textBoxEndIndex(){return this._structArray.uint16[this._pos2+10]}get verticalTextBoxStartIndex(){return this._structArray.uint16[this._pos2+11]}get verticalTextBoxEndIndex(){return this._structArray.uint16[this._pos2+12]}get iconBoxStartIndex(){return this._structArray.uint16[this._pos2+13]}get iconBoxEndIndex(){return this._structArray.uint16[this._pos2+14]}get verticalIconBoxStartIndex(){return this._structArray.uint16[this._pos2+15]}get verticalIconBoxEndIndex(){return this._structArray.uint16[this._pos2+16]}get featureIndex(){return this._structArray.uint16[this._pos2+17]}get numHorizontalGlyphVertices(){return this._structArray.uint16[this._pos2+18]}get numVerticalGlyphVertices(){return this._structArray.uint16[this._pos2+19]}get numIconVertices(){return this._structArray.uint16[this._pos2+20]}get numVerticalIconVertices(){return this._structArray.uint16[this._pos2+21]}get useRuntimeCollisionCircles(){return this._structArray.uint16[this._pos2+22]}get crossTileID(){return this._structArray.uint32[this._pos4+12]}set crossTileID(t){this._structArray.uint32[this._pos4+12]=t;}get textBoxScale(){return this._structArray.float32[this._pos4+13]}get collisionCircleDiameter(){return this._structArray.float32[this._pos4+14]}get textAnchorOffsetStartIndex(){return this._structArray.uint16[this._pos2+30]}get textAnchorOffsetEndIndex(){return this._structArray.uint16[this._pos2+31]}}Na.prototype.size=64;class ja extends Ea{get(t){return new Na(this,t)}}Mi(\"SymbolInstanceArray\",ja);class Ua extends Ca{getoffsetX(t){return this.float32[1*t+0]}}Mi(\"GlyphOffsetArray\",Ua);class Va extends pa{getx(t){return this.int16[3*t+0]}gety(t){return this.int16[3*t+1]}gettileUnitDistanceFromAnchor(t){return this.int16[3*t+2]}}Mi(\"SymbolLineVertexArray\",Va);class qa extends la{get textAnchor(){return this._structArray.uint16[this._pos2+0]}get textOffset0(){return this._structArray.float32[this._pos4+1]}get textOffset1(){return this._structArray.float32[this._pos4+2]}}qa.prototype.size=12;class Ha extends La{get(t){return new qa(this,t)}}Mi(\"TextAnchorOffsetArray\",Ha);class Ga extends la{get featureIndex(){return this._structArray.uint32[this._pos4+0]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+2]}get bucketIndex(){return this._structArray.uint16[this._pos2+3]}}Ga.prototype.size=8;class Za extends Ia{get(t){return new Ga(this,t)}}Mi(\"FeatureIndexArray\",Za);class Wa extends fa{}class Ya extends fa{}class Xa extends fa{}class $a extends ma{}class Ja extends ga{}class Ka extends ya{}class Qa extends va{}class to extends xa{}class eo extends _a{}class ro extends ba{}class no extends Ta{}class io extends Aa{}class ao extends Ma{}class oo extends Pa{}const so=ua([{name:\"a_pos\",components:2,type:\"Int16\"}],4),{members:lo,size:co,alignment:uo}=so;class ho{constructor(t=[]){this.segments=t;}prepareSegment(t,e,r,n){let i=this.segments[this.segments.length-1];return t>ho.MAX_VERTEX_ARRAY_LENGTH&&T(`Max vertices per segment is ${ho.MAX_VERTEX_ARRAY_LENGTH}: bucket requested ${t}`),(!i||i.vertexLength+t>ho.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 0!==n&&(i.sortKey=n),this.segments.push(i)),i}get(){return this.segments}destroy(){for(const t of this.segments)for(const e in t.vaos)t.vaos[e].destroy();}static simpleSegment(t,e,r,n){return new ho([{vertexOffset:t,primitiveOffset:e,vertexLength:r,primitiveLength:n,vaos:{},sortKey:0}])}}function fo(t,e){return 256*(t=m(Math.floor(t),0,255))+m(Math.floor(e),0,255)}ho.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Mi(\"SegmentVector\",ho);const po=ua([{name:\"a_pattern_from\",components:4,type:\"Uint16\"},{name:\"a_pattern_to\",components:4,type:\"Uint16\"},{name:\"a_pixel_ratio_from\",components:1,type:\"Uint16\"},{name:\"a_pixel_ratio_to\",components:1,type:\"Uint16\"}]);var mo={exports:{}},go={exports:{}};!function(t){t.exports=function(t,e){var r,n,i,a,o,s,l,c;for(r=3&t.length,n=t.length-r,i=e,o=3432918353,s=461845907,c=0;c<n;)l=255&t.charCodeAt(c)|(255&t.charCodeAt(++c))<<8|(255&t.charCodeAt(++c))<<16|(255&t.charCodeAt(++c))<<24,++c,i=27492+(65535&(a=5*(65535&(i=(i^=l=(65535&(l=(l=(65535&l)*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295)<<13|i>>>19))+((5*(i>>>16)&65535)<<16)&4294967295))+((58964+(a>>>16)&65535)<<16);switch(l=0,r){case 3:l^=(255&t.charCodeAt(c+2))<<16;case 2:l^=(255&t.charCodeAt(c+1))<<8;case 1:i^=l=(65535&(l=(l=(65535&(l^=255&t.charCodeAt(c)))*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295;}return i^=t.length,i=2246822507*(65535&(i^=i>>>16))+((2246822507*(i>>>16)&65535)<<16)&4294967295,i=3266489909*(65535&(i^=i>>>13))+((3266489909*(i>>>16)&65535)<<16)&4294967295,(i^=i>>>16)>>>0};}(go);var yo=go.exports,vo={exports:{}};!function(t){t.exports=function(t,e){for(var r,n=t.length,i=e^n,a=0;n>=4;)r=1540483477*(65535&(r=255&t.charCodeAt(a)|(255&t.charCodeAt(++a))<<8|(255&t.charCodeAt(++a))<<16|(255&t.charCodeAt(++a))<<24))+((1540483477*(r>>>16)&65535)<<16),i=1540483477*(65535&i)+((1540483477*(i>>>16)&65535)<<16)^(r=1540483477*(65535&(r^=r>>>24))+((1540483477*(r>>>16)&65535)<<16)),n-=4,++a;switch(n){case 3:i^=(255&t.charCodeAt(a+2))<<16;case 2:i^=(255&t.charCodeAt(a+1))<<8;case 1:i=1540483477*(65535&(i^=255&t.charCodeAt(a)))+((1540483477*(i>>>16)&65535)<<16);}return i=1540483477*(65535&(i^=i>>>13))+((1540483477*(i>>>16)&65535)<<16),(i^=i>>>15)>>>0};}(vo);var xo=yo,_o=vo.exports;mo.exports=xo,mo.exports.murmur3=xo,mo.exports.murmur2=_o;var bo=r(mo.exports);class wo{constructor(){this.ids=[],this.positions=[],this.indexed=false;}add(t,e,r,n){this.ids.push(To(t)),this.positions.push(e,r,n);}getPositions(t){if(!this.indexed)throw new Error(\"Trying to get index, but feature positions are not indexed\");const e=To(t);let r=0,n=this.ids.length-1;for(;r<n;){const t=r+n>>1;this.ids[t]>=e?n=t:r=t+1;}const i=[];for(;this.ids[r]===e;){const t=this.positions[3*r],e=this.positions[3*r+1],n=this.positions[3*r+2];i.push({index:t,start:e,end:n}),r++;}return i}static serialize(t,e){const r=new Float64Array(t.ids),n=new Uint32Array(t.positions);return ko(r,n,0,r.length-1),e&&e.push(r.buffer,n.buffer),{ids:r,positions:n}}static deserialize(t){const e=new wo;return e.ids=t.ids,e.positions=t.positions,e.indexed=true,e}}function To(t){const e=+t;return !isNaN(e)&&e<=Number.MAX_SAFE_INTEGER?e:bo(String(t))}function ko(t,e,r,n){for(;r<n;){const i=t[r+n>>1];let a=r-1,o=n+1;for(;;){do{a++;}while(t[a]<i);do{o--;}while(t[o]>i);if(a>=o)break;Ao(t,a,o),Ao(e,3*a,3*o),Ao(e,3*a+1,3*o+1),Ao(e,3*a+2,3*o+2);}o-r<n-o?(ko(t,e,r,o),r=o+1):(ko(t,e,o+1,n),n=o);}}function Ao(t,e,r){const n=t[e];t[e]=t[r],t[r]=n;}Mi(\"FeaturePositionMap\",wo);class Mo{constructor(t,e){this.gl=t.gl,this.location=e;}}class So extends Mo{constructor(t,e){super(t,e),this.current=0;}set(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t));}}class Eo extends Mo{constructor(t,e){super(t,e),this.current=[0,0,0,0];}set(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]&&t[3]===this.current[3]||(this.current=t,this.gl.uniform4f(this.location,t[0],t[1],t[2],t[3]));}}class Co extends Mo{constructor(t,e){super(t,e),this.current=Xt.transparent;}set(t){t.r===this.current.r&&t.g===this.current.g&&t.b===this.current.b&&t.a===this.current.a||(this.current=t,this.gl.uniform4f(this.location,t.r,t.g,t.b,t.a));}}const Lo=new Float32Array(16);function Io(t){return [fo(255*t.r,255*t.g),fo(255*t.b,255*t.a)]}class Po{constructor(t,e,r){this.value=t,this.uniformNames=e.map((t=>`u_${t}`)),this.type=r;}setUniform(t,e,r){t.set(r.constantOr(this.value));}getBinding(t,e,r){return \"color\"===this.type?new Co(t,e):new So(t,e)}}class zo{constructor(t,e){this.uniformNames=e.map((t=>`u_${t}`)),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1;}setConstantPatternPositions(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr;}setUniform(t,e,r,n){const i=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;i&&t.set(i);}getBinding(t,e,r){return \"u_pattern\"===r.substr(0,9)?new Eo(t,e):new So(t,e)}}class Oo{constructor(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((t=>({name:`a_${t}`,type:\"Float32\",components:\"color\"===r?2:1,offset:0}))),this.paintVertexArray=new n;}populatePaintArray(t,e,r,n,i){const a=this.paintVertexArray.length,o=this.expression.evaluate(new Hi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o);}updatePaintArray(t,e,r,n){const i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i);}_setPaintValue(t,e,r){if(\"color\"===this.type){const n=Io(r);for(let r=t;r<e;r++)this.paintVertexArray.emplace(r,n[0],n[1]);}else {for(let n=t;n<e;n++)this.paintVertexArray.emplace(n,r);this.maxValue=Math.max(this.maxValue,Math.abs(r));}}upload(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent));}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy();}}class Do{constructor(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((t=>`u_${t}_t`)),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((t=>({name:`a_${t}`,type:\"Float32\",components:\"color\"===r?4:2,offset:0}))),this.paintVertexArray=new a;}populatePaintArray(t,e,r,n,i){const a=this.expression.evaluate(new Hi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Hi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o);}updatePaintArray(t,e,r,n){const i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a);}_setPaintValue(t,e,r,n){if(\"color\"===this.type){const i=Io(r),a=Io(n);for(let r=t;r<e;r++)this.paintVertexArray.emplace(r,i[0],i[1],a[0],a[1]);}else {for(let i=t;i<e;i++)this.paintVertexArray.emplace(i,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n));}}upload(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent));}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy();}setUniform(t,e){const r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=m(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n);}getBinding(t,e,r){return new So(t,e)}}class Ro{constructor(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i;}populatePaintArray(t,e,r){const n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r);}updatePaintArray(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i);}_setPaintValues(t,e,r,n){if(!n||!r)return;const{min:i,mid:a,max:o}=r,s=n[i],l=n[a],c=n[o];if(s&&l&&c)for(let r=t;r<e;r++)this.zoomInPaintVertexArray.emplace(r,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(r,l.tl[0],l.tl[1],l.br[0],l.br[1],c.tl[0],c.tl[1],c.br[0],c.br[1],l.pixelRatio,c.pixelRatio);}upload(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,po.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,po.members,this.expression.isStateDependent));}destroy(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy();}}class Fo{constructor(t,e,r){this.binders={},this._buffers=[];const n=[];for(const i in t.paint._values){if(!r(i))continue;const a=t.paint.get(i);if(!(a instanceof Ji&&hn(a.property.specification)))continue;const o=No(i,t.type),s=a.value,l=a.property.specification.type,c=a.property.useIntegerZoom,u=a.property.specification[\"property-type\"],h=\"cross-faded\"===u||\"cross-faded-data-driven\"===u;if(\"constant\"===s.kind)this.binders[i]=h?new zo(s.value,o):new Po(s.value,o,l),n.push(`/u_${i}`);else if(\"source\"===s.kind||h){const r=jo(i,l,\"source\");this.binders[i]=h?new Ro(s,l,c,e,r,t.id):new Oo(s,o,l,r),n.push(`/a_${i}`);}else {const t=jo(i,l,\"composite\");this.binders[i]=new Do(s,o,l,c,e,t),n.push(`/z_${i}`);}}this.cacheKey=n.sort().join(\"\");}getMaxValue(t){const e=this.binders[t];return e instanceof Oo||e instanceof Do?e.maxValue:0}populatePaintArrays(t,e,r,n,i){for(const a in this.binders){const o=this.binders[a];(o instanceof Oo||o instanceof Do||o instanceof Ro)&&o.populatePaintArray(t,e,r,n,i);}}setConstantPatternPositions(t,e){for(const r in this.binders){const n=this.binders[r];n instanceof zo&&n.setConstantPatternPositions(t,e);}}updatePaintArrays(t,e,r,n,i){let a=false;for(const o in t){const s=e.getPositions(o);for(const e of s){const s=r.feature(e.index);for(const r in this.binders){const l=this.binders[r];if((l instanceof Oo||l instanceof Do||l instanceof Ro)&&true===l.expression.isStateDependent){const c=n.paint.get(r);l.expression=c.value,l.updatePaintArray(e.start,e.end,s,t[o],i),a=true;}}}}return a}defines(){const t=[];for(const e in this.binders){const r=this.binders[e];(r instanceof Po||r instanceof zo)&&t.push(...r.uniformNames.map((t=>`#define HAS_UNIFORM_${t}`)));}return t}getBinderAttributes(){const t=[];for(const e in this.binders){const r=this.binders[e];if(r instanceof Oo||r instanceof Do)for(let e=0;e<r.paintVertexAttributes.length;e++)t.push(r.paintVertexAttributes[e].name);else if(r instanceof Ro)for(let e=0;e<po.members.length;e++)t.push(po.members[e].name);}return t}getBinderUniforms(){const t=[];for(const e in this.binders){const r=this.binders[e];if(r instanceof Po||r instanceof zo||r instanceof Do)for(const e of r.uniformNames)t.push(e);}return t}getPaintVertexBuffers(){return this._buffers}getUniforms(t,e){const r=[];for(const n in this.binders){const i=this.binders[n];if(i instanceof Po||i instanceof zo||i instanceof Do)for(const a of i.uniformNames)if(e[a]){const o=i.getBinding(t,e[a],a);r.push({name:a,property:n,binding:o});}}return r}setUniforms(t,e,r,n){for(const{name:t,property:i,binding:a}of e)this.binders[i].setUniform(a,n,r.get(i),t);}updatePaintBuffers(t){this._buffers=[];for(const e in this.binders){const r=this.binders[e];if(t&&r instanceof Ro){const e=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;e&&this._buffers.push(e);}else (r instanceof Oo||r instanceof Do)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer);}}upload(t){for(const e in this.binders){const r=this.binders[e];(r instanceof Oo||r instanceof Do||r instanceof Ro)&&r.upload(t);}this.updatePaintBuffers();}destroy(){for(const t in this.binders){const e=this.binders[t];(e instanceof Oo||e instanceof Do||e instanceof Ro)&&e.destroy();}}}class Bo{constructor(t,e,r=(()=>true)){this.programConfigurations={};for(const n of t)this.programConfigurations[n.id]=new Fo(n,e,r);this.needsUpload=false,this._featureMap=new wo,this._bufferOffset=0;}populatePaintArrays(t,e,r,n,i,a){for(const r in this.programConfigurations)this.programConfigurations[r].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=true;}updatePaintArrays(t,e,r,n){for(const i of r)this.needsUpload=this.programConfigurations[i.id].updatePaintArrays(t,this._featureMap,e,i,n)||this.needsUpload;}get(t){return this.programConfigurations[t]}upload(t){if(this.needsUpload){for(const e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=false;}}destroy(){for(const t in 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{\"line-pattern\":{source:Qa,composite:Qa},\"fill-pattern\":{source:Qa,composite:Qa},\"fill-extrusion-pattern\":{source:Qa,composite:Qa}}[t]}(t);return i&&i[r]||n[e][r]}Mi(\"ConstantBinder\",Po),Mi(\"CrossFadedConstantBinder\",zo),Mi(\"SourceExpressionBinder\",Oo),Mi(\"CrossFadedCompositeBinder\",Ro),Mi(\"CompositeExpressionBinder\",Do),Mi(\"ProgramConfiguration\",Fo,{omit:[\"_buffers\"]}),Mi(\"ProgramConfigurationSet\",Bo);const Uo=8192,Vo=Math.pow(2,14)-1,qo=-Vo-1;function Ho(t){const e=Uo/t.extent,r=t.loadGeometry();for(let t=0;t<r.length;t++){const n=r[t];for(let t=0;t<n.length;t++){const r=n[t],i=Math.round(r.x*e),a=Math.round(r.y*e);r.x=m(i,qo,Vo),r.y=m(a,qo,Vo),(i<r.x||i>r.x+1||a<r.y||a>r.y+1)&&T(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\");}}return r}function Go(t,e){return {type:t.type,id:t.id,properties:t.properties,geometry:e?Ho(t):[]}}function Zo(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2);}class Wo{constructor(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=t.index,this.hasPattern=false,this.layoutVertexArray=new Ya,this.indexArray=new ao,this.segments=new ho,this.programConfigurations=new Bo(t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id));}populate(t,e,r){const n=this.layers[0],i=[];let a=null,o=false;\"circle\"===n.type&&(a=n.layout.get(\"circle-sort-key\"),o=!a.isConstant());for(const{feature:e,id:n,index:s,sourceLayerIndex:l}of t){const t=this.layers[0]._featureFilter.needGeometry,c=Go(e,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),c,r))continue;const u=o?a.evaluate(c,{},r):void 0,h={id:n,properties:e.properties,type:e.type,sourceLayerIndex:l,index:s,geometry:t?c.geometry:Ho(e),patterns:{},sortKey:u};i.push(h);}o&&i.sort(((t,e)=>t.sortKey-e.sortKey));for(const n of i){const{geometry:i,index:a,sourceLayerIndex:o}=n,s=t[a].feature;this.addFeature(n,i,a,r),e.featureIndex.insert(s,i,a,o,this.index);}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r);}isEmpty(){return 0===this.layoutVertexArray.length}uploadPending(){return !this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,lo),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=true;}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy());}addFeature(t,e,r,n){for(const r of e)for(const e of r){const r=e.x,n=e.y;if(r<0||r>=Uo||n<0||n>=Uo)continue;const i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),a=i.vertexLength;Zo(this.layoutVertexArray,r,n,-1,-1),Zo(this.layoutVertexArray,r,n,1,-1),Zo(this.layoutVertexArray,r,n,1,1),Zo(this.layoutVertexArray,r,n,-1,1),this.indexArray.emplaceBack(a,a+1,a+2),this.indexArray.emplaceBack(a,a+3,a+2),i.vertexLength+=4,i.primitiveLength+=2;}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{},n);}}function Yo(t,e){for(let r=0;r<t.length;r++)if(ns(e,t[r]))return  true;for(let r=0;r<e.length;r++)if(ns(t,e[r]))return  true;return !!Ko(t,e)}function Xo(t,e,r){return !!ns(t,e)||!!ts(e,t,r)}function $o(t,e){if(1===t.length)return rs(e,t[0]);for(let r=0;r<e.length;r++){const n=e[r];for(let e=0;e<n.length;e++)if(ns(t,n[e]))return  true}for(let r=0;r<t.length;r++)if(rs(e,t[r]))return  true;for(let r=0;r<e.length;r++)if(Ko(t,e[r]))return  true;return  false}function Jo(t,e,r){if(t.length>1){if(Ko(t,e))return  true;for(let 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ta(Z.paint_circle[\"circle-blur\"]),\"circle-opacity\":new ta(Z.paint_circle[\"circle-opacity\"]),\"circle-translate\":new Qi(Z.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new Qi(Z.paint_circle[\"circle-translate-anchor\"]),\"circle-pitch-scale\":new Qi(Z.paint_circle[\"circle-pitch-scale\"]),\"circle-pitch-alignment\":new Qi(Z.paint_circle[\"circle-pitch-alignment\"]),\"circle-stroke-width\":new ta(Z.paint_circle[\"circle-stroke-width\"]),\"circle-stroke-color\":new ta(Z.paint_circle[\"circle-stroke-color\"]),\"circle-stroke-opacity\":new ta(Z.paint_circle[\"circle-stroke-opacity\"])})},get layout(){return ls=ls||new ia({\"circle-sort-key\":new ta(Z.layout_circle[\"circle-sort-key\"])})}},hs=1e-6,fs=\"undefined\"!=typeof Float32Array?Float32Array:Array;function ps(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function ds(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],m=e[12],g=e[13],y=e[14],v=e[15],x=r[0],_=r[1],b=r[2],w=r[3];return t[0]=x*n+_*s+b*h+w*m,t[1]=x*i+_*l+b*f+w*g,t[2]=x*a+_*c+b*p+w*y,t[3]=x*o+_*u+b*d+w*v,x=r[4],_=r[5],b=r[6],w=r[7],t[4]=x*n+_*s+b*h+w*m,t[5]=x*i+_*l+b*f+w*g,t[6]=x*a+_*c+b*p+w*y,t[7]=x*o+_*u+b*d+w*v,x=r[8],_=r[9],b=r[10],w=r[11],t[8]=x*n+_*s+b*h+w*m,t[9]=x*i+_*l+b*f+w*g,t[10]=x*a+_*c+b*p+w*y,t[11]=x*o+_*u+b*d+w*v,x=r[12],_=r[13],b=r[14],w=r[15],t[12]=x*n+_*s+b*h+w*m,t[13]=x*i+_*l+b*f+w*g,t[14]=x*a+_*c+b*p+w*y,t[15]=x*o+_*u+b*d+w*v,t}Math.hypot||(Math.hypot=function(){for(var t=0,e=arguments.length;e--;)t+=arguments[e]*arguments[e];return Math.sqrt(t)});var ms=function(t,e,r,n,i){var a,o=1/Math.tan(e/2);return t[0]=o/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=o,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=i&&i!==1/0?(a=1/(n-i),t[10]=(i+n)*a,t[14]=2*i*n*a):(t[10]=-1,t[14]=-2*n),t};var gs=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t};var ys=ds;function vs(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3];return t[0]=r[0]*n+r[4]*i+r[8]*a+r[12]*o,t[1]=r[1]*n+r[5]*i+r[9]*a+r[13]*o,t[2]=r[2]*n+r[6]*i+r[10]*a+r[14]*o,t[3]=r[3]*n+r[7]*i+r[11]*a+r[15]*o,t}var xs,_s=function(t,e,r){return t[0]=e[0]*r[0],t[1]=e[1]*r[1],t[2]=e[2]*r[2],t[3]=e[3]*r[3],t};xs=new fs(4),fs!=Float32Array&&(xs[0]=0,xs[1]=0,xs[2]=0,xs[3]=0);class bs extends oa{constructor(t){super(t,us);}createBucket(t){return new Wo(t)}queryRadius(t){const e=t;return as(\"circle-radius\",this,e)+as(\"circle-stroke-width\",this,e)+os(this.paint.get(\"circle-translate\"))}queryIntersectsFeature(t,e,r,n,i,a,o,s){const l=ss(t,this.paint.get(\"circle-translate\"),this.paint.get(\"circle-translate-anchor\"),a.angle,o),c=this.paint.get(\"circle-radius\").evaluate(e,r)+this.paint.get(\"circle-stroke-width\").evaluate(e,r),u=\"map\"===this.paint.get(\"circle-pitch-alignment\"),h=u?l:function(t,e){return t.map((t=>ws(t,e)))}(l,s),f=u?c*o:c;for(const t of n)for(const e of t){const t=u?e:ws(e,s);let r=f;const n=vs([],[e.x,e.y,0,1],s);if(\"viewport\"===this.paint.get(\"circle-pitch-scale\")&&\"map\"===this.paint.get(\"circle-pitch-alignment\")?r*=n[3]/a.cameraToCenterDistance:\"map\"===this.paint.get(\"circle-pitch-scale\")&&\"viewport\"===this.paint.get(\"circle-pitch-alignment\")&&(r*=a.cameraToCenterDistance/n[3]),Xo(h,t,r))return  true}return  false}}function ws(t,e){const r=vs([],[t.x,t.y,0,1],e);return new a(r[0]/r[3],r[1]/r[3])}class Ts extends Wo{}let ks;Mi(\"HeatmapBucket\",Ts,{omit:[\"layers\"]});var As={get paint(){return ks=ks||new ia({\"heatmap-radius\":new 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ta(Z.paint_fill[\"fill-outline-color\"]),\"fill-translate\":new Qi(Z.paint_fill[\"fill-translate\"]),\"fill-translate-anchor\":new Qi(Z.paint_fill[\"fill-translate-anchor\"]),\"fill-pattern\":new ea(Z.paint_fill[\"fill-pattern\"])})},get layout(){return dl=dl||new ia({\"fill-sort-key\":new ta(Z.layout_fill[\"fill-sort-key\"])})}};class yl extends oa{constructor(t){super(t,gl);}recalculate(t,e){super.recalculate(t,e);const r=this.paint._values[\"fill-outline-color\"];\"constant\"===r.value.kind&&void 0===r.value.value&&(this.paint._values[\"fill-outline-color\"]=this.paint._values[\"fill-color\"]);}createBucket(t){return new pl(t)}queryRadius(){return os(this.paint.get(\"fill-translate\"))}queryIntersectsFeature(t,e,r,n,i,a,o){return $o(ss(t,this.paint.get(\"fill-translate\"),this.paint.get(\"fill-translate-anchor\"),a.angle,o),n)}isTileClipped(){return  true}}const vl=ua([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_normal_ed\",components:4,type:\"Int16\"}],4),xl=ua([{name:\"a_centroid\",components:2,type:\"Int16\"}],4),{members:_l,size:bl,alignment:wl}=vl;var Tl={},kl=n,Al=Ml;function Ml(t,e,r,n,i){this.properties={},this.extent=r,this.type=0,this._pbf=t,this._geometry=-1,this._keys=n,this._values=i,t.readFields(Sl,this,e);}function Sl(t,e,r){1==t?e.id=r.readVarint():2==t?function(t,e){for(var r=t.readVarint()+t.pos;t.pos<r;){var n=e._keys[t.readVarint()],i=e._values[t.readVarint()];e.properties[n]=i;}}(r,e):3==t?e.type=r.readVarint():4==t&&(e._geometry=r.pos);}function El(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],n+=((r=t[o]).x-e.x)*(e.y+r.y);return n}Ml.types=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"],Ml.prototype.loadGeometry=function(){var t=this._pbf;t.pos=this._geometry;for(var e,r=t.readVarint()+t.pos,n=1,i=0,a=0,o=0,s=[];t.pos<r;){if(i<=0){var l=t.readVarint();n=7&l,i=l>>3;}if(i--,1===n||2===n)a+=t.readSVarint(),o+=t.readSVarint(),1===n&&(e&&s.push(e),e=[]),e.push(new kl(a,o));else {if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone());}}return e&&s.push(e),s},Ml.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3;}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return [o,l,s,c]},Ml.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=Ml.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90];}}switch(this.type){case 1:var h=[];for(n=0;n<l.length;n++)h[n]=l[n][0];u(l=h);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return [t];for(var r,n,i=[],a=0;a<e;a++){var o=El(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]));}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i]);}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return \"id\"in this&&(f.id=this.id),f};var Cl=Al,Ll=Il;function Il(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Pl,this,e),this.length=this._features.length;}function Pl(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null;}return e}(r));}Il.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Cl(this._pbf,e,this.extent,this._keys,this._values)};var zl=Ll,Ol=function(t,e){this.layers=t.readFields(Dl,{},e);};function Dl(t,e,r){if(3===t){var n=new zl(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n);}}Tl.VectorTile=Ol,Tl.VectorTileFeature=Al,Tl.VectorTileLayer=Ll;const Rl=Tl.VectorTileFeature.types,Fl=Math.pow(2,13);function Bl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Fl)+o,i*Fl*2,a*Fl*2,Math.round(s));}class Nl{constructor(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=t.index,this.hasPattern=false,this.layoutVertexArray=new $a,this.centroidVertexArray=new Wa,this.indexArray=new ao,this.programConfigurations=new Bo(t.layers,t.zoom),this.segments=new ho,this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id));}populate(t,e,r){this.features=[],this.hasPattern=hl(\"fill-extrusion\",this.layers,e);for(const{feature:n,id:i,index:a,sourceLayerIndex:o}of t){const t=this.layers[0]._featureFilter.needGeometry,s=Go(n,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),s,r))continue;const l={id:i,sourceLayerIndex:o,index:a,geometry:t?s.geometry:Ho(n),properties:n.properties,type:n.type,patterns:{}};this.hasPattern?this.features.push(fl(\"fill-extrusion\",this.layers,l,this.zoom,e)):this.addFeature(l,l.geometry,a,r,{}),e.featureIndex.insert(n,l.geometry,a,o,this.index,true);}}addFeatures(t,e,r){for(const t of this.features){const{geometry:n}=t;this.addFeature(t,n,t.index,e,r);}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r);}isEmpty(){return 0===this.layoutVertexArray.length&&0===this.centroidVertexArray.length}uploadPending(){return !this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,_l),this.centroidVertexBuffer=t.createVertexBuffer(this.centroidVertexArray,xl.members,true),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=true;}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.centroidVertexBuffer.destroy());}addFeature(t,e,r,n,i){for(const r of br(e,500)){const e={x:0,y:0,vertexCount:0};let n=0;for(const t of r)n+=t.length;let i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray);for(const t of r){if(0===t.length)continue;if(Ul(t))continue;let r=0;for(let n=0;n<t.length;n++){const a=t[n];if(n>=1){const o=t[n-1];if(!jl(a,o)){i.vertexLength+4>ho.MAX_VERTEX_ARRAY_LENGTH&&(i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));const t=a.sub(o)._perp()._unit(),n=o.dist(a);r+n>32768&&(r=0),Bl(this.layoutVertexArray,a.x,a.y,t.x,t.y,0,0,r),Bl(this.layoutVertexArray,a.x,a.y,t.x,t.y,0,1,r),e.x+=2*a.x,e.y+=2*a.y,e.vertexCount+=2,r+=n,Bl(this.layoutVertexArray,o.x,o.y,t.x,t.y,0,0,r),Bl(this.layoutVertexArray,o.x,o.y,t.x,t.y,0,1,r),e.x+=2*o.x,e.y+=2*o.y,e.vertexCount+=2;const s=i.vertexLength;this.indexArray.emplaceBack(s,s+2,s+1),this.indexArray.emplaceBack(s+1,s+2,s+3),i.vertexLength+=4,i.primitiveLength+=2;}}}}if(i.vertexLength+n>ho.MAX_VERTEX_ARRAY_LENGTH&&(i=this.segments.prepareSegment(n,this.layoutVertexArray,this.indexArray)),\"Polygon\"!==Rl[t.type])continue;const a=[],o=[],s=i.vertexLength;for(const t of r)if(0!==t.length){t!==r[0]&&o.push(a.length/2);for(let r=0;r<t.length;r++){const n=t[r];Bl(this.layoutVertexArray,n.x,n.y,0,0,1,1,0),e.x+=n.x,e.y+=n.y,e.vertexCount+=1,a.push(n.x),a.push(n.y);}}const l=js(a,o);for(let t=0;t<l.length;t+=3)this.indexArray.emplaceBack(s+l[t],s+l[t+2],s+l[t+1]);i.primitiveLength+=l.length/3,i.vertexLength+=n;for(let t=0;t<e.vertexCount;t++){const t=Math.floor(e.x/e.vertexCount),r=Math.floor(e.y/e.vertexCount);this.centroidVertexArray.emplaceBack(t,r);}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n);}}function jl(t,e){return t.x===e.x&&(t.x<0||t.x>Uo)||t.y===e.y&&(t.y<0||t.y>Uo)}function Ul(t){return t.every((t=>t.x<0))||t.every((t=>t.x>Uo))||t.every((t=>t.y<0))||t.every((t=>t.y>Uo))}let Vl;Mi(\"FillExtrusionBucket\",Nl,{omit:[\"layers\",\"features\"]});var ql={get paint(){return Vl=Vl||new ia({\"fill-extrusion-opacity\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ea(Z[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})}};class Hl extends oa{constructor(t){super(t,ql);}createBucket(t){return new Nl(t)}queryRadius(){return os(this.paint.get(\"fill-extrusion-translate\"))}is3D(){return  true}queryIntersectsFeature(t,e,r,n,i,o,s,l){const c=ss(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){const i=[];for(const r of t){const t=[r.x,r.y,n,1];vs(t,t,e),i.push(new a(t[0]/t[3],t[1]/t[3]));}return i}(c,l,0,0),p=function(t,e,r,n){const i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r;for(const e of t){const t=[],r=[];for(const i of e){const e=i.x,o=i.y,m=n[0]*e+n[4]*o+n[12],g=n[1]*e+n[5]*o+n[13],y=n[2]*e+n[6]*o+n[14],v=n[3]*e+n[7]*o+n[15],x=y+c,_=v+u,b=m+h,w=g+f,T=y+p,k=v+d,A=new a((m+s)/_,(g+l)/_);A.z=x/_,t.push(A);const M=new a(b/k,w/k);M.z=T/k,r.push(M);}i.push(t),o.push(r);}return [i,o]}(n,h,u,l);return function(t,e,r){let n=1/0;$o(r,e)&&(n=Zl(r,e[0]));for(let i=0;i<e.length;i++){const a=e[i],o=t[i];for(let t=0;t<a.length-1;t++){const e=a[t],i=a[t+1],s=o[t],l=[e,i,o[t+1],s,e];Yo(r,l)&&(n=Math.min(n,Zl(r,l)));}}return n!==1/0&&n}(p[0],p[1],f)}}function Gl(t,e){return t.x*e.x+t.y*e.y}function Zl(t,e){if(1===t.length){let r=0;const n=e[r++];let i;for(;!i||n.equals(i);)if(i=e[r++],!i)return 1/0;for(;r<e.length;r++){const a=e[r],o=t[0],s=i.sub(n),l=a.sub(n),c=o.sub(n),u=Gl(s,s),h=Gl(s,l),f=Gl(l,l),p=Gl(c,s),d=Gl(c,l),m=u*f-h*h,g=(f*p-h*d)/m,y=(u*d-h*p)/m,v=1-g-y,x=n.z*v+i.z*g+a.z*y;if(isFinite(x))return x}return 1/0}{let t=1/0;for(const r of e)t=Math.min(t,r.z);return t}}const Wl=ua([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4),{members:Yl,size:Xl,alignment:$l}=Wl,Jl=ua([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]),{members:Kl,size:Ql,alignment:tc}=Jl,ec=Tl.VectorTileFeature.types,rc=Math.cos(Math.PI/180*37.5),nc=Math.pow(2,14)/.5;class ic{constructor(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=t.index,this.hasPattern=false,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((t=>{this.gradients[t.id]={};})),this.layoutVertexArray=new Ja,this.layoutVertexArray2=new Ka,this.indexArray=new ao,this.programConfigurations=new Bo(t.layers,t.zoom),this.segments=new ho,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id));}populate(t,e,r){this.hasPattern=hl(\"line\",this.layers,e);const n=this.layers[0].layout.get(\"line-sort-key\"),i=!n.isConstant(),a=[];for(const{feature:e,id:o,index:s,sourceLayerIndex:l}of t){const t=this.layers[0]._featureFilter.needGeometry,c=Go(e,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),c,r))continue;const u=i?n.evaluate(c,{},r):void 0,h={id:o,properties:e.properties,type:e.type,sourceLayerIndex:l,index:s,geometry:t?c.geometry:Ho(e),patterns:{},sortKey:u};a.push(h);}i&&a.sort(((t,e)=>t.sortKey-e.sortKey));for(const n of a){const{geometry:i,index:a,sourceLayerIndex:o}=n;if(this.hasPattern){const t=fl(\"line\",this.layers,n,this.zoom,e);this.patternFeatures.push(t);}else this.addFeature(n,i,a,r,{});const s=t[a].feature;e.featureIndex.insert(s,i,a,o,this.index);}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r);}addFeatures(t,e,r){for(const t of this.patternFeatures)this.addFeature(t,t.geometry,t.index,e,r);}isEmpty(){return 0===this.layoutVertexArray.length}uploadPending(){return !this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,Kl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Yl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=true;}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy());}lineFeatureClips(t){if(t.properties&&Object.prototype.hasOwnProperty.call(t.properties,\"mapbox_clip_start\")&&Object.prototype.hasOwnProperty.call(t.properties,\"mapbox_clip_end\"))return {start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}}addFeature(t,e,r,n,i){const a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(const r of e)this.addLine(r,t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n);}addLine(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(let e=0;e<t.length-1;e++)this.totalDistance+=t[e].dist(t[e+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance);}const o=\"Polygon\"===ec[e.type];let s=t.length;for(;s>=2&&t[s-1].equals(t[s-2]);)s--;let l=0;for(;l<s-1&&t[l].equals(t[l+1]);)l++;if(s<(o?3:2))return;\"bevel\"===r&&(i=1.05);const c=this.overscaling<=16?15*Uo/(512*this.overscaling):0,u=this.segments.prepareSegment(10*s,this.layoutVertexArray,this.indexArray);let h,f,p,d,m;this.e1=this.e2=-1,o&&(h=t[s-2],m=t[l].sub(h)._unit()._perp());for(let e=l;e<s;e++){if(p=e===s-1?o?t[l+1]:void 0:t[e+1],p&&t[e].equals(p))continue;m&&(d=m),h&&(f=h),h=t[e],m=p?p.sub(h)._unit()._perp():d,d=d||m;let g=d.add(m);0===g.x&&0===g.y||g._unit();const y=d.x*m.x+d.y*m.y,v=g.x*m.x+g.y*m.y,x=0!==v?1/v:1/0,_=2*Math.sqrt(2-2*v),b=v<rc&&f&&p,w=d.x*m.y-d.y*m.x>0;if(b&&e>l){const t=h.dist(f);if(t>2*c){const e=h.sub(h.sub(f)._mult(c/t)._round());this.updateDistance(f,e),this.addCurrentVertex(e,d,0,0,u),f=e;}}const T=f&&p;let k=T?r:o?\"butt\":n;if(T&&\"round\"===k&&(x<a?k=\"miter\":x<=2&&(k=\"fakeround\")),\"miter\"===k&&x>i&&(k=\"bevel\"),\"bevel\"===k&&(x>2&&(k=\"flipbevel\"),x<i&&(k=\"miter\")),f&&this.updateDistance(f,h),\"miter\"===k)g._mult(x),this.addCurrentVertex(h,g,0,0,u);else if(\"flipbevel\"===k){if(x>100)g=m.mult(-1);else {const t=x*d.add(m).mag()/d.sub(m).mag();g._perp()._mult(t*(w?-1:1));}this.addCurrentVertex(h,g,0,0,u),this.addCurrentVertex(h,g.mult(-1),0,0,u);}else if(\"bevel\"===k||\"fakeround\"===k){const t=-Math.sqrt(x*x-1),e=w?t:0,r=w?0:t;if(f&&this.addCurrentVertex(h,d,e,r,u),\"fakeround\"===k){const t=Math.round(180*_/Math.PI/20);for(let e=1;e<t;e++){let r=e/t;if(.5!==r){const t=r-.5;r+=r*t*(r-1)*((1.0904+y*(y*(3.55645-1.43519*y)-3.2452))*t*t+(.848013+y*(.215638*y-1.06021)));}const n=m.sub(d)._mult(r)._add(d)._unit()._mult(w?-1:1);this.addHalfVertex(h,n.x,n.y,false,w,0,u);}}p&&this.addCurrentVertex(h,m,-e,-r,u);}else if(\"butt\"===k)this.addCurrentVertex(h,g,0,0,u);else if(\"square\"===k){const t=f?1:-1;this.addCurrentVertex(h,g,t,t,u);}else \"round\"===k&&(f&&(this.addCurrentVertex(h,d,0,0,u),this.addCurrentVertex(h,d,1,1,u,true)),p&&(this.addCurrentVertex(h,m,-1,-1,u,true),this.addCurrentVertex(h,m,0,0,u)));if(b&&e<s-1){const t=h.dist(p);if(t>2*c){const e=h.add(p.sub(h)._mult(c/t)._round());this.updateDistance(h,e),this.addCurrentVertex(e,m,0,0,u),h=e;}}}}addCurrentVertex(t,e,r,n,i,a=false){const o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,false,r,i),this.addHalfVertex(t,l,c,a,true,-n,i),this.distance>nc/2&&0===this.totalDistance&&(this.distance=0,this.updateScaledDistance(),this.addCurrentVertex(t,e,r,n,i,a));}addHalfVertex({x:t,y:e},r,n,i,a,o,s){const l=.5*(this.lineClips?this.scaledDistance*(nc-1):this.scaledDistance);if(this.layoutVertexArray.emplaceBack((t<<1)+(i?1:0),(e<<1)+(a?1:0),Math.round(63*r)+128,Math.round(63*n)+128,1+(0===o?0:o<0?-1:1)|(63&l)<<2,l>>6),this.lineClips){const t=(this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start);this.layoutVertexArray2.emplaceBack(t,this.lineClipsArray.length);}const 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ra(Z.paint_line[\"line-dasharray\"]),\"line-pattern\":new ea(Z.paint_line[\"line-pattern\"]),\"line-gradient\":new na(Z.paint_line[\"line-gradient\"])})},get layout(){return ac=ac||new ia({\"line-cap\":new Qi(Z.layout_line[\"line-cap\"]),\"line-join\":new ta(Z.layout_line[\"line-join\"]),\"line-miter-limit\":new Qi(Z.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Qi(Z.layout_line[\"line-round-limit\"]),\"line-sort-key\":new ta(Z.layout_line[\"line-sort-key\"])})}};class lc extends ta{possiblyEvaluate(t,e){return e=new Hi(Math.floor(e.zoom),{now:e.now,fadeDuration:e.fadeDuration,zoomHistory:e.zoomHistory,transition:e.transition}),super.possiblyEvaluate(t,e)}evaluate(t,e,r,n){return e=y({},e,{zoom:Math.floor(e.zoom)}),super.evaluate(t,e,r,n)}}let cc;class uc extends oa{constructor(t){super(t,sc),this.gradientVersion=0,cc||(cc=new lc(sc.paint.properties[\"line-width\"].specification),cc.useIntegerZoom=true);}_handleSpecialPaintPropertyUpdate(t){if(\"line-gradient\"===t){const t=this.gradientExpression();!function(t){return void 0!==t._styleExpression}(t)?this.stepInterpolant=false:this.stepInterpolant=t._styleExpression.expression instanceof Ae,this.gradientVersion=(this.gradientVersion+1)%Number.MAX_SAFE_INTEGER;}}gradientExpression(){return this._transitionablePaint._values[\"line-gradient\"].value.expression}recalculate(t,e){super.recalculate(t,e),this.paint._values[\"line-floorwidth\"]=cc.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,t);}createBucket(t){return new ic(t)}queryRadius(t){const e=t,r=hc(as(\"line-width\",this,e),as(\"line-gap-width\",this,e)),n=as(\"line-offset\",this,e);return r/2+Math.abs(n)+os(this.paint.get(\"line-translate\"))}queryIntersectsFeature(t,e,r,n,i,o,s){const l=ss(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*hc(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(n=function(t,e){const r=[];for(let n=0;n<t.length;n++){const i=t[n],o=[];for(let t=0;t<i.length;t++){const r=i[t-1],n=i[t],s=i[t+1],l=0===t?new a(0,0):n.sub(r)._unit()._perp(),c=t===i.length-1?new a(0,0):s.sub(n)._unit()._perp(),u=l._add(c)._unit(),h=u.x*c.x+u.y*c.y;0!==h&&u._mult(1/h),o.push(u._mult(e)._add(n));}r.push(o);}return r}(n,u*s)),function(t,e,r){for(let n=0;n<e.length;n++){const i=e[n];if(t.length>=3)for(let e=0;e<i.length;e++)if(ns(t,i[e]))return  true;if(Jo(t,i,r))return  true}return  false}(l,n,c)}isTileClipped(){return  true}}function hc(t,e){return e>0?e+2*t:t}const 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mc=ua([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_anchor_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"}],4),gc=ua([{name:\"a_pos\",components:2,type:\"Float32\"},{name:\"a_radius\",components:1,type:\"Float32\"},{name:\"a_flags\",components:2,type:\"Int16\"}],4);function yc(t,e,r){return t.sections.forEach((t=>{t.text=function(t,e,r){const n=e.layout.get(\"text-transform\").evaluate(r,{});return 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vc={\"!\":\"︕\",\"#\":\"＃\",$:\"＄\",\"%\":\"％\",\"&\":\"＆\",\"(\":\"︵\",\")\":\"︶\",\"*\":\"＊\",\"+\":\"＋\",\",\":\"︐\",\"-\":\"︲\",\".\":\"・\",\"/\":\"／\",\":\":\"︓\",\";\":\"︔\",\"<\":\"︿\",\"=\":\"＝\",\">\":\"﹀\",\"?\":\"︖\",\"@\":\"＠\",\"[\":\"﹇\",\"\\\\\":\"＼\",\"]\":\"﹈\",\"^\":\"＾\",_:\"︳\",\"`\":\"｀\",\"{\":\"︷\",\"|\":\"―\",\"}\":\"︸\",\"~\":\"～\",\"¢\":\"￠\",\"£\":\"￡\",\"¥\":\"￥\",\"¦\":\"￤\",\"¬\":\"￢\",\"¯\":\"￣\",\"–\":\"︲\",\"—\":\"︱\",\"‘\":\"﹃\",\"’\":\"﹄\",\"“\":\"﹁\",\"”\":\"﹂\",\"…\":\"︙\",\"‧\":\"・\",\"₩\":\"￦\",\"、\":\"︑\",\"。\":\"︒\",\"〈\":\"︿\",\"〉\":\"﹀\",\"《\":\"︽\",\"》\":\"︾\",\"「\":\"﹁\",\"」\":\"﹂\",\"『\":\"﹃\",\"』\":\"﹄\",\"【\":\"︻\",\"】\":\"︼\",\"〔\":\"︹\",\"〕\":\"︺\",\"〖\":\"︗\",\"〗\":\"︘\",\"！\":\"︕\",\"（\":\"︵\",\"）\":\"︶\",\"，\":\"︐\",\"－\":\"︲\",\"．\":\"・\",\"：\":\"︓\",\"；\":\"︔\",\"＜\":\"︿\",\"＞\":\"﹀\",\"？\":\"︖\",\"［\":\"﹇\",\"］\":\"﹈\",\"＿\":\"︳\",\"｛\":\"︷\",\"｜\":\"―\",\"｝\":\"︸\",\"｟\":\"︵\",\"｠\":\"︶\",\"｡\":\"︒\",\"｢\":\"﹁\",\"｣\":\"﹂\"};var xc=24,_c=wc,bc={read:function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,h=r?i-1:0,f=r?-1:1,p=t[e+h];for(h+=f,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+h],h+=f,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+h],h+=f,u-=8);if(0===a)a=1-c;else {if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c;}return (p?-1:1)*o*Math.pow(2,a-n)},write:function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,h=u>>1,f=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+h>=1?f/l:f*Math.pow(2,1-h))*l>=2&&(o++,l/=2),o+h>=u?(s=0,o=u):o+h>=1?(s=(e*l-1)*Math.pow(2,i),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m;}};function wc(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length;}wc.Varint=0,wc.Fixed64=1,wc.Bytes=2,wc.Fixed32=5;var Tc=4294967296,kc=1/Tc,Ac=\"undefined\"==typeof TextDecoder?null:new TextDecoder(\"utf-8\");function Mc(t){return t.type===wc.Bytes?t.readVarint()+t.pos:t.pos+1}function Sc(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function Ec(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var i=r.pos-1;i>=t;i--)r.buf[i+n]=r.buf[i];}function Cc(t,e){for(var r=0;r<t.length;r++)e.writeVarint(t[r]);}function Lc(t,e){for(var r=0;r<t.length;r++)e.writeSVarint(t[r]);}function Ic(t,e){for(var r=0;r<t.length;r++)e.writeFloat(t[r]);}function Pc(t,e){for(var r=0;r<t.length;r++)e.writeDouble(t[r]);}function zc(t,e){for(var r=0;r<t.length;r++)e.writeBoolean(t[r]);}function Oc(t,e){for(var r=0;r<t.length;r++)e.writeFixed32(t[r]);}function Dc(t,e){for(var r=0;r<t.length;r++)e.writeSFixed32(t[r]);}function 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t.push(this.readVarint(e));var r=Mc(this);for(t=t||[];this.pos<r;)t.push(this.readVarint(e));return t},readPackedSVarint:function(t){if(this.type!==wc.Bytes)return t.push(this.readSVarint());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readSVarint());return t},readPackedBoolean:function(t){if(this.type!==wc.Bytes)return t.push(this.readBoolean());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readBoolean());return t},readPackedFloat:function(t){if(this.type!==wc.Bytes)return t.push(this.readFloat());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readFloat());return t},readPackedDouble:function(t){if(this.type!==wc.Bytes)return t.push(this.readDouble());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readDouble());return t},readPackedFixed32:function(t){if(this.type!==wc.Bytes)return t.push(this.readFixed32());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readFixed32());return t},readPackedSFixed32:function(t){if(this.type!==wc.Bytes)return t.push(this.readSFixed32());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==wc.Bytes)return t.push(this.readFixed64());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==wc.Bytes)return t.push(this.readSFixed64());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===wc.Varint)for(;this.buf[this.pos++]>127;);else if(e===wc.Bytes)this.pos=this.readVarint()+this.pos;else if(e===wc.Fixed32)this.pos+=4;else {if(e!==wc.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8;}},writeTag:function(t,e){this.writeVarint(t<<3|e);},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e;}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Nc(this.buf,t,this.pos),this.pos+=4;},writeSFixed32:function(t){this.realloc(4),Nc(this.buf,t,this.pos),this.pos+=4;},writeFixed64:function(t){this.realloc(8),Nc(this.buf,-1&t,this.pos),Nc(this.buf,Math.floor(t*kc),this.pos+4),this.pos+=8;},writeSFixed64:function(t){this.realloc(8),Nc(this.buf,-1&t,this.pos),Nc(this.buf,Math.floor(t*kc),this.pos+4),this.pos+=8;},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-18446744073709552e3)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t;}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))));}(n,e);}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))));},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t);},writeBoolean:function(t){this.writeVarint(Boolean(t));},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null;}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128);}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Ec(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r;},writeFloat:function(t){this.realloc(4),bc.write(this.buf,t,this.pos,true,23,4),this.pos+=4;},writeDouble:function(t){this.realloc(8),bc.write(this.buf,t,this.pos,true,52,8),this.pos+=8;},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r];},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Ec(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n;},writeMessage:function(t,e,r){this.writeTag(t,wc.Bytes),this.writeRawMessage(e,r);},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,Cc,e);},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Lc,e);},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,zc,e);},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Ic,e);},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,Pc,e);},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Oc,e);},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Dc,e);},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Rc,e);},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Fc,e);},writeBytesField:function(t,e){this.writeTag(t,wc.Bytes),this.writeBytes(e);},writeFixed32Field:function(t,e){this.writeTag(t,wc.Fixed32),this.writeFixed32(e);},writeSFixed32Field:function(t,e){this.writeTag(t,wc.Fixed32),this.writeSFixed32(e);},writeFixed64Field:function(t,e){this.writeTag(t,wc.Fixed64),this.writeFixed64(e);},writeSFixed64Field:function(t,e){this.writeTag(t,wc.Fixed64),this.writeSFixed64(e);},writeVarintField:function(t,e){this.writeTag(t,wc.Varint),this.writeVarint(e);},writeSVarintField:function(t,e){this.writeTag(t,wc.Varint),this.writeSVarint(e);},writeStringField:function(t,e){this.writeTag(t,wc.Bytes),this.writeString(e);},writeFloatField:function(t,e){this.writeTag(t,wc.Fixed32),this.writeFloat(e);},writeDoubleField:function(t,e){this.writeTag(t,wc.Fixed64),this.writeDouble(e);},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e));}};var Uc=r(_c);const Vc=3;function qc(t,e,r){1===t&&r.readMessage(Hc,e);}function Hc(t,e,r){if(3===t){const{id:t,bitmap:n,width:i,height:a,left:o,top:s,advance:l}=r.readMessage(Gc,{});e.push({id:t,bitmap:new Cs({width:i+2*Vc,height:a+2*Vc},n),metrics:{width:i,height:a,left:o,top:s,advance:l}});}}function Gc(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint());}const Zc=Vc;function Wc(t){let e=0,r=0;for(const n of t)e+=n.w*n.h,r=Math.max(r,n.w);t.sort(((t,e)=>e.h-t.h));const n=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}];let i=0,a=0;for(const e of t)for(let t=n.length-1;t>=0;t--){const r=n[t];if(!(e.w>r.w||e.h>r.h)){if(e.x=r.x,e.y=r.y,a=Math.max(a,e.y+e.h),i=Math.max(i,e.x+e.w),e.w===r.w&&e.h===r.h){const e=n.pop();t<n.length&&(n[t]=e);}else 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t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e);}patchUpdatedImage(t,e,r){if(!t||!e)return;if(t.version===e.version)return;t.version=e.version;const[n,i]=t.tl;r.update(e.data,void 0,{x:n,y:i});}}var Jc;Mi(\"ImagePosition\",Xc),Mi(\"ImageAtlas\",$c),t.ai=void 0,(Jc=t.ai||(t.ai={}))[Jc.none=0]=\"none\",Jc[Jc.horizontal=1]=\"horizontal\",Jc[Jc.vertical=2]=\"vertical\",Jc[Jc.horizontalOnly=3]=\"horizontalOnly\";const Kc=-17;class Qc{constructor(){this.scale=1,this.fontStack=\"\",this.imageName=null;}static forText(t,e){const r=new Qc;return r.scale=t||1,r.fontStack=e,r}static forImage(t){const e=new Qc;return e.imageName=t,e}}class tu{constructor(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null;}static fromFeature(t,e){const r=new tu;for(let n=0;n<t.sections.length;n++){const i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e);}return 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t=v(g.toString(),uu(g,u,o,r,i,d));for(const e of t){const t=new tu;t.text=e,t.sections=g.sections;for(let r=0;r<e.length;r++)t.sectionIndex.push(0);y.push(t);}}else if(x){y=[];const t=x(g.text,g.sectionIndex,uu(g,u,o,r,i,d));for(const e of t){const t=new tu;t.text=e[0],t.sectionIndex=e[1],t.sections=g.sections,y.push(t);}}else y=function(t,e){const r=[],n=t.text;let i=0;for(const n of e)r.push(t.substring(i,n)),i=n;return i<n.length&&r.push(t.substring(i,n.length)),r}(g,uu(g,u,o,r,i,d));const _=[],b={positionedLines:_,text:g.toString(),top:h[1],bottom:h[1],left:h[0],right:h[0],writingMode:f,iconsInText:false,verticalizable:false};return function(e,r,n,i,a,o,s,l,c,u,h,f){let p=0,d=Kc,m=0,g=0;const y=\"right\"===l?1:\"left\"===l?0:.5;let v=0;for(const s of a){s.trim();const a=s.getMaxScale(),l=(a-1)*xc,x={positionedGlyphs:[],lineOffset:0};e.positionedLines[v]=x;const _=x.positionedGlyphs;let b=0;if(!s.length()){d+=o,++v;continue}for(let o=0;o<s.length();o++){const 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t=p-u;m=Math.max(t,m),fu(_,0,_.length-1,y,b);}p=0;const w=o*a+b;x.lineOffset=Math.max(b,l),d+=w,g=Math.max(w,g),++v;}const x=d-Kc,{horizontalAlign:_,verticalAlign:b}=hu(s);((function(t,e,r,n,i,a,o,s,l){const c=(e-r)*i;let u=0;u=a!==o?-s*n-Kc:(-n*l+.5)*o;for(const e of t)for(const t of e.positionedGlyphs)t.x+=c,t.y+=u;}))(e.positionedLines,y,_,b,m,g,o,x,a.length),e.top+=-b*x,e.bottom=e.top+x,e.left+=-_*m,e.right=e.left+m;}(b,r,n,i,y,s,l,c,f,u,p,m),!function(t){for(const e of t)if(0!==e.positionedGlyphs.length)return  false;return  true}(_)&&b}const ru={9:true,10:true,11:true,12:true,13:true,32:true},nu={10:true,32:true,38:true,41:true,43:true,45:true,47:true,173:true,183:true,8203:true,8208:true,8211:true,8231:true},iu={40:true};function au(t,e,r,n,i,a){if(e.imageName){const t=n[e.imageName];return t?t.displaySize[0]*e.scale*xc/a+i:0}{const n=r[e.fontStack],a=n&&n[t];return a?a.metrics.advance*e.scale+i:0}}function ou(t,e,r,n){const i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function su(t,e,r){let n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function lu(t,e,r,n,i,a){let o=null,s=ou(e,r,i,a);for(const t of n){const n=ou(e-t.x,r,i,a)+t.badness;n<=s&&(o=t,s=n);}return {index:t,x:e,priorBreak:o,badness:s}}function cu(t){return t?cu(t.priorBreak).concat(t.index):[]}function uu(t,e,r,n,i,a){if(!t)return [];const o=[],s=function(t,e,r,n,i,a){let o=0;for(let r=0;r<t.length();r++){const s=t.getSection(r);o+=au(t.getCharCode(r),s,n,i,e,a);}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,a),l=t.text.indexOf(\"​\")>=0;let c=0;for(let r=0;r<t.length();r++){const h=t.getSection(r),f=t.getCharCode(r);if(ru[f]||(c+=au(f,h,n,i,e,a)),r<t.length()-1){const e=!((u=f)<11904||!(zi[\"Bopomofo Extended\"](u)||zi.Bopomofo(u)||zi[\"CJK Compatibility Forms\"](u)||zi[\"CJK Compatibility Ideographs\"](u)||zi[\"CJK Compatibility\"](u)||zi[\"CJK Radicals Supplement\"](u)||zi[\"CJK Strokes\"](u)||zi[\"CJK Symbols and Punctuation\"](u)||zi[\"CJK Unified Ideographs Extension A\"](u)||zi[\"CJK Unified Ideographs\"](u)||zi[\"Enclosed CJK Letters and Months\"](u)||zi[\"Halfwidth and Fullwidth Forms\"](u)||zi.Hiragana(u)||zi[\"Ideographic Description Characters\"](u)||zi[\"Kangxi Radicals\"](u)||zi[\"Katakana Phonetic Extensions\"](u)||zi.Katakana(u)||zi[\"Vertical Forms\"](u)||zi[\"Yi Radicals\"](u)||zi[\"Yi Syllables\"](u)));(nu[f]||e||h.imageName||r!==t.length()-2&&iu[t.getCharCode(r+1)])&&o.push(lu(r+1,c,s,o,su(f,t.getCharCode(r+1),e&&l),false));}}var u;return cu(lu(t.length(),c,s,o,0,true))}function hu(t){let e=.5,r=.5;switch(t){case \"right\":case \"top-right\":case \"bottom-right\":e=1;break;case \"left\":case \"top-left\":case \"bottom-left\":e=0;}switch(t){case \"bottom\":case \"bottom-right\":case \"bottom-left\":r=1;break;case \"top\":case \"top-right\":case \"top-left\":r=0;}return {horizontalAlign:e,verticalAlign:r}}function fu(t,e,r,n,i){if(!n&&!i)return;const a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n;for(let n=e;n<=r;n++)t[n].x-=s,t[n].y+=i;}function pu(t,e,r){const{horizontalAlign:n,verticalAlign:i}=hu(r),a=e[0],o=e[1],s=a-t.displaySize[0]*n,l=s+t.displaySize[0],c=o-t.displaySize[1]*i;return {image:t,top:c,bottom:c+t.displaySize[1],left:s,right:l}}function du(t){var e,r;let n=t.left,i=t.top,a=t.right-n,o=t.bottom-i;const s=t.image.content[2]-t.image.content[0],l=t.image.content[3]-t.image.content[1],c=null!==(e=t.image.textFitWidth)&&void 0!==e?e:\"stretchOrShrink\",u=null!==(r=t.image.textFitHeight)&&void 0!==r?r:\"stretchOrShrink\",h=s/l;if(\"proportional\"===u){if(\"stretchOnly\"===c&&a/o<h||\"proportional\"===c){const t=Math.ceil(o*h);n*=t/a,a=t;}}else if(\"proportional\"===c&&\"stretchOnly\"===u&&0!==h&&a/o>h){const t=Math.ceil(a/h);i*=t/o,o=t;}return {x1:n,y1:i,x2:n+a,y2:i+o}}function mu(t,e,r,n,i,a){const o=t.image;let s;if(o.content){const t=o.content,e=o.pixelRatio||1;s=[t[0]/e,t[1]/e,o.displaySize[0]-t[2]/e,o.displaySize[1]-t[3]/e];}const l=e.left*a,c=e.right*a;let u,h,f,p;\"width\"===r||\"both\"===r?(p=i[0]+l-n[3],h=i[0]+c+n[1]):(p=i[0]+(l+c-o.displaySize[0])/2,h=p+o.displaySize[0]);const d=e.top*a,m=e.bottom*a;return \"height\"===r||\"both\"===r?(u=i[1]+d-n[0],f=i[1]+m+n[2]):(u=i[1]+(d+m-o.displaySize[1])/2,f=u+o.displaySize[1]),{image:o,top:u,right:h,bottom:f,left:p,collisionPadding:s}}const gu=255,yu=128,vu=gu*yu;function xu(t,e){const{expression:r}=e;if(\"constant\"===r.kind)return {kind:\"constant\",layoutSize:r.evaluate(new Hi(t+1))};if(\"source\"===r.kind)return {kind:\"source\"};{const{zoomStops:e,interpolationType:n}=r;let i=0;for(;i<e.length&&e[i]<=t;)i++;i=Math.max(0,i-1);let a=i;for(;a<e.length&&e[a]<t+1;)a++;a=Math.min(e.length-1,a);const o=e[i],s=e[a];return \"composite\"===r.kind?{kind:\"composite\",minZoom:o,maxZoom:s,interpolationType:n}:{kind:\"camera\",minZoom:o,maxZoom:s,minSize:r.evaluate(new Hi(o)),maxSize:r.evaluate(new Hi(s)),interpolationType:n}}}function _u(t,e,r){let n=\"never\";const i=t.get(e);return i?n=i:t.get(r)&&(n=\"always\"),n}const bu=Tl.VectorTileFeature.types,wu=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Tu(t,e,r,n,i,a,o,s,l,c,u,h,f){const p=s?Math.min(vu,Math.round(s[0])):0,d=s?Math.min(vu,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*h,256*f);}function ku(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r);}function Au(t){for(const e of t.sections)if(Vi(e.text))return  true;return  false}class Mu{constructor(t){this.layoutVertexArray=new to,this.indexArray=new ao,this.programConfigurations=t,this.segments=new ho,this.dynamicLayoutVertexArray=new eo,this.opacityVertexArray=new ro,this.hasVisibleVertices=false,this.placedSymbolArray=new Ba;}isEmpty(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length}upload(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,fc.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,pc.members,true),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,wu,true),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t));}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy());}}Mi(\"SymbolBuffers\",Mu);class Su{constructor(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new ho,this.collisionVertexArray=new io;}upload(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,dc.members,true);}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy());}}Mi(\"CollisionBuffers\",Su);class Eu{constructor(e){this.collisionBoxArray=e.collisionBoxArray,this.zoom=e.zoom,this.overscaling=e.overscaling,this.layers=e.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=e.index,this.pixelRatio=e.pixelRatio,this.sourceLayerIndex=e.sourceLayerIndex,this.hasPattern=false,this.hasRTLText=false,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ps([]),this.placementViewportMatrix=ps([]);const r=this.layers[0]._unevaluatedLayout._values;this.textSizeData=xu(this.zoom,r[\"text-size\"]),this.iconSizeData=xu(this.zoom,r[\"icon-size\"]);const n=this.layers[0].layout,i=n.get(\"symbol-sort-key\"),a=n.get(\"symbol-z-order\");this.canOverlap=\"never\"!==_u(n,\"text-overlap\",\"text-allow-overlap\")||\"never\"!==_u(n,\"icon-overlap\",\"icon-allow-overlap\")||n.get(\"text-ignore-placement\")||n.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==a&&!i.isConstant();const o=\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey;this.sortFeaturesByY=o&&this.canOverlap,\"point\"===n.get(\"symbol-placement\")&&(this.writingModes=n.get(\"text-writing-mode\").map((e=>t.ai[e]))),this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id)),this.sourceID=e.sourceID;}createArrays(){this.text=new Mu(new Bo(this.layers,this.zoom,(t=>/^text/.test(t)))),this.icon=new Mu(new Bo(this.layers,this.zoom,(t=>/^icon/.test(t)))),this.glyphOffsetArray=new Ua,this.lineVertexArray=new Va,this.symbolInstances=new ja,this.textAnchorOffsets=new Ha;}calculateGlyphDependencies(t,e,r,n,i){for(let a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=true,(r||n)&&i){const r=vc[t.charAt(a)];r&&(e[r.charCodeAt(0)]=true);}}populate(e,r,n){const i=this.layers[0],a=i.layout,o=a.get(\"text-font\"),s=a.get(\"text-field\"),l=a.get(\"icon-image\"),c=(\"constant\"!==s.value.kind||s.value.value instanceof Kt&&!s.value.value.isEmpty()||s.value.value.toString().length>0)&&(\"constant\"!==o.value.kind||o.value.value.length>0),u=\"constant\"!==l.value.kind||!!l.value.value||Object.keys(l.parameters).length>0,h=a.get(\"symbol-sort-key\");if(this.features=[],!c&&!u)return;const f=r.iconDependencies,p=r.glyphDependencies,d=r.availableImages,m=new Hi(this.zoom);for(const{feature:r,id:s,index:l,sourceLayerIndex:g}of e){const e=i._featureFilter.needGeometry,y=Go(r,e);if(!i._featureFilter.filter(m,y,n))continue;let v,x;if(e||(y.geometry=Ho(r)),c){const t=i.getValueAndResolveTokens(\"text-field\",y,n,d),e=Kt.factory(t),r=this.hasRTLText=this.hasRTLText||Au(e);(!r||\"unavailable\"===qi.getRTLTextPluginStatus()||r&&qi.isParsed())&&(v=yc(e,i,y));}if(u){const t=i.getValueAndResolveTokens(\"icon-image\",y,n,d);x=t instanceof re?t:re.fromString(t);}if(!v&&!x)continue;const _=this.sortFeaturesByKey?h.evaluate(y,{},n):void 0,b={id:s,text:v,icon:x,index:l,sourceLayerIndex:g,geometry:y.geometry,properties:r.properties,type:bu[r.type],sortKey:_};if(this.features.push(b),x&&(f[x.name]=true),v){const e=o.evaluate(y,{},n).join(\",\"),r=\"viewport\"!==a.get(\"text-rotation-alignment\")&&\"point\"!==a.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(t.ai.vertical)>=0;for(const t of v.sections)if(t.image)f[t.image.name]=true;else {const n=Oi(v.toString()),i=t.fontStack||e,a=p[i]=p[i]||{};this.calculateGlyphDependencies(t.text,a,r,this.allowVerticalPlacement,n);}}}\"line\"===a.get(\"symbol-placement\")&&(this.features=function(t){const e={},r={},n=[];let i=0;function a(e){n.push(t[e]),i++;}function o(t,e,i){const a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){const a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){const n=r?e[0][e[0].length-1]:e[0][0];return `${t}:${n.x}:${n.y}`}for(let c=0;c<t.length;c++){const u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(!f){a(c);continue}const p=l(f,h),d=l(f,h,true);if(p in r&&d in e&&r[p]!==e[d]){const t=s(p,d,h),i=o(p,d,n[t].geometry);delete e[p],delete r[d],r[l(f,n[i].geometry,true)]=i,n[t].geometry=null;}else p in r?o(p,d,h):d in e?s(p,d,h):(a(c),e[p]=i-1,r[d]=i-1);}return n.filter((t=>t.geometry))}(this.features)),this.sortFeaturesByKey&&this.features.sort(((t,e)=>t.sortKey-e.sortKey));}update(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r));}isEmpty(){return 0===this.symbolInstances.length&&!this.hasRTLText}uploadPending(){return !this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload}upload(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=true;}destroyDebugData(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy();}destroy(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData();}addToLineVertexArray(t,e){const r=this.lineVertexArray.length;if(void 0!==t.segment){let r=t.dist(e[t.segment+1]),n=t.dist(e[t.segment]);const i={};for(let n=t.segment+1;n<e.length;n++)i[n]={x:e[n].x,y:e[n].y,tileUnitDistanceFromAnchor:r},n<e.length-1&&(r+=e[n+1].dist(e[n]));for(let r=t.segment||0;r>=0;r--)i[r]={x:e[r].x,y:e[r].y,tileUnitDistanceFromAnchor:n},r>0&&(n+=e[r-1].dist(e[r]));for(let t=0;t<e.length;t++){const e=i[t];this.lineVertexArray.emplaceBack(e.x,e.y,e.tileUnitDistanceFromAnchor);}}return {lineStartIndex:r,lineLength:this.lineVertexArray.length-r}}addSymbols(e,r,n,i,a,o,s,l,c,u,h,f){const p=e.indexArray,d=e.layoutVertexArray,m=e.segments.prepareSegment(4*r.length,d,p,this.canOverlap?o.sortKey:void 0),g=this.glyphOffsetArray.length,y=m.vertexLength,v=this.allowVerticalPlacement&&s===t.ai.vertical?Math.PI/2:0,x=o.text&&o.text.sections;for(let t=0;t<r.length;t++){const{tl:i,tr:a,bl:s,br:c,tex:u,pixelOffsetTL:h,pixelOffsetBR:g,minFontScaleX:y,minFontScaleY:_,glyphOffset:b,isSDF:w,sectionIndex:T}=r[t],k=m.vertexLength,A=b[1];Tu(d,l.x,l.y,i.x,A+i.y,u.x,u.y,n,w,h.x,h.y,y,_),Tu(d,l.x,l.y,a.x,A+a.y,u.x+u.w,u.y,n,w,g.x,h.y,y,_),Tu(d,l.x,l.y,s.x,A+s.y,u.x,u.y+u.h,n,w,h.x,g.y,y,_),Tu(d,l.x,l.y,c.x,A+c.y,u.x+u.w,u.y+u.h,n,w,g.x,g.y,y,_),ku(e.dynamicLayoutVertexArray,l,v),p.emplaceBack(k,k+1,k+2),p.emplaceBack(k+1,k+2,k+3),m.vertexLength+=4,m.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(b[0]),t!==r.length-1&&T===r[t+1].sectionIndex||e.programConfigurations.populatePaintArrays(d.length,o,o.index,{},f,x&&x[T]);}e.placedSymbolArray.emplaceBack(l.x,l.y,g,this.glyphOffsetArray.length-g,y,c,u,l.segment,n?n[0]:0,n?n[1]:0,i[0],i[1],s,0,false,0,h);}_addCollisionDebugVertex(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))}addCollisionDebugVertices(t,e,r,n,i,o,s){const l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),c=l.vertexLength,u=i.layoutVertexArray,h=i.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new a(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new a(t,n)),l.vertexLength+=4;const d=i.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4;}addDebugCollisionBoxes(t,e,r,n){for(let i=t;i<e;i++){const t=this.collisionBoxArray.get(i),e=t.x1,a=t.y1,o=t.x2,s=t.y2;this.addCollisionDebugVertices(e,a,o,s,n?this.textCollisionBox:this.iconCollisionBox,t.anchorPoint,r);}}generateCollisionDebugBuffers(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Su(no,mc.members,oo),this.iconCollisionBox=new Su(no,mc.members,oo);for(let t=0;t<this.symbolInstances.length;t++){const e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,true),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,true),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,false),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,false);}}_deserializeCollisionBoxesForSymbol(t,e,r,n,i,a,o,s,l){const c={};for(let n=e;n<r;n++){const e=t.get(n);c.textBox={x1:e.x1,y1:e.y1,x2:e.x2,y2:e.y2,anchorPointX:e.anchorPointX,anchorPointY:e.anchorPointY},c.textFeatureIndex=e.featureIndex;break}for(let e=n;e<i;e++){const r=t.get(e);c.verticalTextBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.verticalTextFeatureIndex=r.featureIndex;break}for(let e=a;e<o;e++){const r=t.get(e);c.iconBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.iconFeatureIndex=r.featureIndex;break}for(let e=s;e<l;e++){const r=t.get(e);c.verticalIconBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.verticalIconFeatureIndex=r.featureIndex;break}return c}deserializeCollisionBoxes(t){this.collisionArrays=[];for(let e=0;e<this.symbolInstances.length;e++){const r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex));}}hasTextData(){return this.text.segments.get().length>0}hasIconData(){return this.icon.segments.get().length>0}hasDebugData(){return this.textCollisionBox&&this.iconCollisionBox}hasTextCollisionBoxData(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0}hasIconCollisionBoxData(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0}addIndicesForPlacedSymbol(t,e){const r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs;for(let e=r.vertexStartIndex;e<n;e+=4)t.indexArray.emplaceBack(e,e+1,e+2),t.indexArray.emplaceBack(e+1,e+2,e+3);}getSortedSymbolIndexes(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;const e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[];for(let t=0;t<this.symbolInstances.length;++t){a.push(t);const o=this.symbolInstances.get(t);n.push(0|Math.round(e*o.anchorX+r*o.anchorY)),i.push(o.featureIndex);}return a.sort(((t,e)=>n[t]-n[e]||i[e]-i[t])),a}addToSortKeyRanges(t,e){const r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1});}sortFeatures(t){if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(const t of this.symbolInstanceIndexes){const e=this.symbolInstances.get(t);this.featureSortOrder.push(e.featureIndex),[e.rightJustifiedTextSymbolIndex,e.centerJustifiedTextSymbolIndex,e.leftJustifiedTextSymbolIndex].forEach(((t,e,r)=>{t>=0&&r.indexOf(t)===e&&this.addIndicesForPlacedSymbol(this.text,t);})),e.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,e.verticalPlacedTextSymbolIndex),e.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,e.placedIconSymbolIndex),e.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,e.verticalPlacedIconSymbolIndex);}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray);}}}let Cu;Mi(\"SymbolBucket\",Eu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Eu.MAX_GLYPHS=65535,Eu.addDynamicAttributes=ku;let Lu;var Iu={get paint(){return Lu=Lu||new ia({\"icon-opacity\":new ta(Z.paint_symbol[\"icon-opacity\"]),\"icon-color\":new ta(Z.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new ta(Z.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new ta(Z.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new ta(Z.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Qi(Z.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Qi(Z.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new ta(Z.paint_symbol[\"text-opacity\"]),\"text-color\":new ta(Z.paint_symbol[\"text-color\"],{runtimeType:ft,getOverride:t=>t.textColor,hasOverride:t=>!!t.textColor}),\"text-halo-color\":new ta(Z.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new ta(Z.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new ta(Z.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Qi(Z.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Qi(Z.paint_symbol[\"text-translate-anchor\"])})},get layout(){return Cu=Cu||new ia({\"symbol-placement\":new Qi(Z.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Qi(Z.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Qi(Z.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new ta(Z.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Qi(Z.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Qi(Z.layout_symbol[\"icon-allow-overlap\"]),\"icon-overlap\":new Qi(Z.layout_symbol[\"icon-overlap\"]),\"icon-ignore-placement\":new Qi(Z.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Qi(Z.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Qi(Z.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new ta(Z.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Qi(Z.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Qi(Z.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new ta(Z.layout_symbol[\"icon-image\"]),\"icon-rotate\":new ta(Z.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new ta(Z.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Qi(Z.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new ta(Z.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new ta(Z.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Qi(Z.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Qi(Z.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Qi(Z.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new ta(Z.layout_symbol[\"text-field\"]),\"text-font\":new ta(Z.layout_symbol[\"text-font\"]),\"text-size\":new ta(Z.layout_symbol[\"text-size\"]),\"text-max-width\":new ta(Z.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Qi(Z.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new ta(Z.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new ta(Z.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new ta(Z.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Qi(Z.layout_symbol[\"text-variable-anchor\"]),\"text-variable-anchor-offset\":new ta(Z.layout_symbol[\"text-variable-anchor-offset\"]),\"text-anchor\":new ta(Z.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Qi(Z.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Qi(Z.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new ta(Z.layout_symbol[\"text-rotate\"]),\"text-padding\":new Qi(Z.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Qi(Z.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new ta(Z.layout_symbol[\"text-transform\"]),\"text-offset\":new ta(Z.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Qi(Z.layout_symbol[\"text-allow-overlap\"]),\"text-overlap\":new Qi(Z.layout_symbol[\"text-overlap\"]),\"text-ignore-placement\":new Qi(Z.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Qi(Z.layout_symbol[\"text-optional\"])})}};class Pu{constructor(t){if(void 0===t.property.overrides)throw new Error(\"overrides must be provided to instantiate FormatSectionOverride class\");this.type=t.property.overrides?t.property.overrides.runtimeType:lt,this.defaultValue=t;}evaluate(t){if(t.formattedSection){const e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default}eachChild(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression);}outputDefined(){return  false}serialize(){return null}}Mi(\"FormatSectionOverride\",Pu,{omit:[\"defaultValue\"]});class zu extends oa{constructor(t){super(t,Iu);}recalculate(t,e){if(super.recalculate(t,e),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=\"map\"===this.layout.get(\"text-rotation-alignment\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){const t=this.layout.get(\"text-writing-mode\");if(t){const e=[];for(const r of t)e.indexOf(r)<0&&e.push(r);this.layout._values[\"text-writing-mode\"]=e;}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"];}this._setPaintOverrides();}getValueAndResolveTokens(t,e,r,n){const i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||kn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,((e,r)=>t&&r in t?String(t[r]):\"\"))}(e.properties,i)}createBucket(t){return new Eu(t)}queryRadius(){return 0}queryIntersectsFeature(){throw new Error(\"Should take a different path in FeatureIndex\")}_setPaintOverrides(){for(const t of Iu.paint.overridableProperties){if(!zu.hasPaintOverride(this.layout,t))continue;const e=this.paint.get(t),r=new Pu(e),n=new Tn(r,e.property.specification);let i=null;i=\"constant\"===e.value.kind||\"source\"===e.value.kind?new Mn(\"source\",n):new Sn(\"composite\",n,e.value.zoomStops),this.paint._values[t]=new Ji(e.property,i,e.parameters);}}_handleOverridablePaintPropertyUpdate(t,e,r){return !(!this.layout||e.isDataDriven()||r.isDataDriven())&&zu.hasPaintOverride(this.layout,t)}static hasPaintOverride(t,e){const r=t.get(\"text-field\"),n=Iu.paint.properties[e];let i=false;const a=t=>{for(const e of t)if(n.overrides&&n.overrides.hasOverride(e))return void(i=true)};if(\"constant\"===r.value.kind&&r.value.value instanceof Kt)a(r.value.value.sections);else if(\"source\"===r.value.kind){const t=e=>{if(!i)if(e instanceof se&&ae(e.value)===gt){const t=e.value;a(t.sections);}else e instanceof We?a(e.sections):e.eachChild(t);},e=r.value;e._styleExpression&&t(e._styleExpression.expression);}return i}}let Ou;var Du={get paint(){return Ou=Ou||new ia({\"background-color\":new Qi(Z.paint_background[\"background-color\"]),\"background-pattern\":new ra(Z.paint_background[\"background-pattern\"]),\"background-opacity\":new Qi(Z.paint_background[\"background-opacity\"])})}};class Ru extends oa{constructor(t){super(t,Du);}}let Fu;var Bu={get paint(){return Fu=Fu||new ia({\"raster-opacity\":new Qi(Z.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Qi(Z.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Qi(Z.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Qi(Z.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Qi(Z.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Qi(Z.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Qi(Z.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Qi(Z.paint_raster[\"raster-fade-duration\"])})}};class Nu extends oa{constructor(t){super(t,Bu);}}class ju extends oa{constructor(t){super(t,{}),this.onAdd=t=>{this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl);},this.onRemove=t=>{this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl);},this.implementation=t;}is3D(){return \"3d\"===this.implementation.renderingMode}hasOffscreenPass(){return void 0!==this.implementation.prerender}recalculate(){}updateTransitions(){}hasTransition(){return  false}serialize(){throw new Error(\"Custom layers cannot be serialized\")}}class Uu{constructor(t){this._methodToThrottle=t,this._triggered=false,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=()=>{this._triggered=false,this._methodToThrottle();});}trigger(){this._triggered||(this._triggered=true,this._channel?this._channel.port1.postMessage(true):setTimeout((()=>{this._triggered=false,this._methodToThrottle();}),0));}remove(){delete this._channel,this._methodToThrottle=()=>{};}}const Vu=6371008.8;class qu{constructor(t,e){if(isNaN(t)||isNaN(e))throw new Error(`Invalid LngLat object: (${t}, ${e})`);if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}wrap(){return new qu(g(this.lng,-180,180),this.lat)}toArray(){return [this.lng,this.lat]}toString(){return `LngLat(${this.lng}, ${this.lat})`}distanceTo(t){const e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Vu*Math.acos(Math.min(i,1))}static convert(t){if(t instanceof qu)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new qu(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new qu(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")}}const Hu=2*Math.PI*Vu;function Gu(t){return Hu*Math.cos(t*Math.PI/180)}function Zu(t){return (180+t)/360}function Wu(t){return (180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Yu(t,e){return t/Gu(e)}function Xu(t){const e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}class $u{constructor(t,e,r=0){this.x=+t,this.y=+e,this.z=+r;}static fromLngLat(t,e=0){const r=qu.convert(t);return new $u(Zu(r.lng),Wu(r.lat),Yu(e,r.lat))}toLngLat(){return new qu(360*this.x-180,Xu(this.y))}toAltitude(){return t=this.z,e=this.y,t*Gu(Xu(e));var t,e;}meterInMercatorCoordinateUnits(){return 1/Hu*(t=Xu(this.y),1/Math.cos(t*Math.PI/180));var t;}}function Ju(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return [t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}class Ku{constructor(t,e,r){if(t<0||t>25||r<0||r>=Math.pow(2,t)||e<0||e>=Math.pow(2,t))throw new Error(`x=${e}, y=${r}, z=${t} outside of bounds. 0<=x<${Math.pow(2,t)}, 0<=y<${Math.pow(2,t)} 0<=z<=25 `);this.z=t,this.x=e,this.y=r,this.key=eh(0,t,t,e,r);}equals(t){return this.z===t.z&&this.x===t.x&&this.y===t.y}url(t,e,r){const n=(a=this.x,o=this.y,s=this.z,l=Ju(256*a,256*(o=Math.pow(2,s)-o-1),s),c=Ju(256*(a+1),256*(o+1),s),l[0]+\",\"+l[1]+\",\"+c[0]+\",\"+c[1]),i=function(t,e,r){let n,i=\"\";for(let a=t;a>0;a--)n=1<<a-1,i+=(e&n?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);var a,o,s,l,c;return t[(this.x+this.y)%t.length].replace(/{prefix}/g,(this.x%16).toString(16)+(this.y%16).toString(16)).replace(/{z}/g,String(this.z)).replace(/{x}/g,String(this.x)).replace(/{y}/g,String(\"tms\"===r?Math.pow(2,this.z)-this.y-1:this.y)).replace(/{ratio}/g,e>1?\"@2x\":\"\").replace(/{quadkey}/g,i).replace(/{bbox-epsg-3857}/g,n)}isChildOf(t){const e=this.z-t.z;return e>0&&t.x===this.x>>e&&t.y===this.y>>e}getTilePoint(t){const e=Math.pow(2,this.z);return new a((t.x*e-this.x)*Uo,(t.y*e-this.y)*Uo)}toString(){return `${this.z}/${this.x}/${this.y}`}}class Qu{constructor(t,e){this.wrap=t,this.canonical=e,this.key=eh(t,e.z,e.z,e.x,e.y);}}class th{constructor(t,e,r,n,i){if(t<r)throw new Error(`overscaledZ should be >= z; overscaledZ = ${t}; z = ${r}`);this.overscaledZ=t,this.wrap=e,this.canonical=new Ku(r,+n,+i),this.key=eh(e,t,r,n,i);}clone(){return new th(this.overscaledZ,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)}equals(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)}scaledTo(t){if(t>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${t}; overscaledZ = ${this.overscaledZ}`);const e=this.canonical.z-t;return t>this.canonical.z?new th(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new th(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)}calculateScaledKey(t,e){if(t>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${t}; overscaledZ = ${this.overscaledZ}`);const r=this.canonical.z-t;return t>this.canonical.z?eh(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):eh(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)}isChildOf(t){if(t.wrap!==this.wrap)return  false;const e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e}children(t){if(this.overscaledZ>=t)return [new th(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];const e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return [new th(e,this.wrap,e,r,n),new th(e,this.wrap,e,r+1,n),new th(e,this.wrap,e,r,n+1),new th(e,this.wrap,e,r+1,n+1)]}isLessThan(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))}wrapped(){return new th(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)}unwrapTo(t){return new th(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)}overscaleFactor(){return Math.pow(2,this.overscaledZ-this.canonical.z)}toUnwrapped(){return new Qu(this.wrap,this.canonical)}toString(){return `${this.overscaledZ}/${this.canonical.x}/${this.canonical.y}`}getTilePoint(t){return this.canonical.getTilePoint(new $u(t.x-this.wrap,t.y))}}function eh(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);const a=1<<r;return (a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Mi(\"CanonicalTileID\",Ku),Mi(\"OverscaledTileID\",th,{omit:[\"posMatrix\"]});class rh{constructor(t,e,r,n=1,i=1,a=1,o=0){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&![\"mapbox\",\"terrarium\",\"custom\"].includes(r))return void T(`\"${r}\" is not a valid encoding type. Valid types include \"mapbox\", \"terrarium\" and \"custom\".`);this.stride=e.height;const s=this.dim=e.height-2;switch(this.data=new Uint32Array(e.data.buffer),r){case \"terrarium\":this.redFactor=256,this.greenFactor=1,this.blueFactor=1/256,this.baseShift=32768;break;case \"custom\":this.redFactor=n,this.greenFactor=i,this.blueFactor=a,this.baseShift=o;break;default:this.redFactor=6553.6,this.greenFactor=25.6,this.blueFactor=.1,this.baseShift=1e4;}for(let t=0;t<s;t++)this.data[this._idx(-1,t)]=this.data[this._idx(0,t)],this.data[this._idx(s,t)]=this.data[this._idx(s-1,t)],this.data[this._idx(t,-1)]=this.data[this._idx(t,0)],this.data[this._idx(t,s)]=this.data[this._idx(t,s-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(s,-1)]=this.data[this._idx(s-1,0)],this.data[this._idx(-1,s)]=this.data[this._idx(0,s-1)],this.data[this._idx(s,s)]=this.data[this._idx(s-1,s-1)],this.min=Number.MAX_SAFE_INTEGER,this.max=Number.MIN_SAFE_INTEGER;for(let t=0;t<s;t++)for(let e=0;e<s;e++){const r=this.get(t,e);r>this.max&&(this.max=r),r<this.min&&(this.min=r);}}get(t,e){const r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return this.unpack(r[n],r[n+1],r[n+2])}getUnpackVector(){return [this.redFactor,this.greenFactor,this.blueFactor,this.baseShift]}_idx(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return (e+1)*this.stride+(t+1)}unpack(t,e,r){return t*this.redFactor+e*this.greenFactor+r*this.blueFactor-this.baseShift}getPixels(){return new Ls({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))}backfillBorder(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");let n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case  -1:n=i-1;break;case 1:i=n+1;}switch(r){case  -1:a=o-1;break;case 1:o=a+1;}const s=-e*this.dim,l=-r*this.dim;for(let e=a;e<o;e++)for(let r=n;r<i;r++)this.data[this._idx(r,e)]=t.data[this._idx(r+s,e+l)];}}Mi(\"DEMData\",rh);class nh{constructor(t){this._stringToNumber={},this._numberToString=[];for(let e=0;e<t.length;e++){const r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r;}}encode(t){return this._stringToNumber[t]}decode(t){if(t>=this._numberToString.length)throw new Error(`Out of bounds. Index requested n=${t} can't be >= this._numberToString.length ${this._numberToString.length}`);return this._numberToString[t]}}class ih{constructor(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i;}get geometry(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry}set geometry(t){this._geometry=t;}toJSON(){const t={geometry:this.geometry};for(const e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t}}class ah{constructor(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ki(Uo,16,0),this.grid3D=new ki(Uo,16,0),this.featureIndexArray=new Za,this.promoteId=e;}insert(t,e,r,n,i,a){const o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);const s=a?this.grid3D:this.grid;for(let t=0;t<e.length;t++){const r=e[t],n=[1/0,1/0,-1/0,-1/0];for(let t=0;t<r.length;t++){const e=r[t];n[0]=Math.min(n[0],e.x),n[1]=Math.min(n[1],e.y),n[2]=Math.max(n[2],e.x),n[3]=Math.max(n[3],e.y);}n[0]<Uo&&n[1]<Uo&&n[2]>=0&&n[3]>=0&&s.insert(o,n[0],n[1],n[2],n[3]);}}loadVTLayers(){return this.vtLayers||(this.vtLayers=new Tl.VectorTile(new Uc(this.rawTileData)).layers,this.sourceLayerCoder=new nh(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers}query(t,e,r,n){this.loadVTLayers();const i=t.params||{},o=Uo/t.tileSize/t.scale,s=zn(i.filter),l=t.queryGeometry,c=t.queryPadding*o,u=sh(l),h=this.grid.query(u.minX-c,u.minY-c,u.maxX+c,u.maxY+c),f=sh(t.cameraQueryGeometry),p=this.grid3D.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c,((e,r,n,i)=>function(t,e,r,n,i){for(const a of t)if(e<=a.x&&r<=a.y&&n>=a.x&&i>=a.y)return  true;const o=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(const e of o)if(ns(t,e))return  true;for(let e=0;e<t.length-1;e++)if(is(t[e],t[e+1],o))return  true;return  false}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)));for(const t of p)h.push(t);h.sort(lh);const d={};let m;for(let a=0;a<h.length;a++){const c=h[a];if(c===m)continue;m=c;const u=this.featureIndexArray.get(c);let f=null;this.loadMatchingFeature(d,u.bucketIndex,u.sourceLayerIndex,u.featureIndex,s,i.layers,i.availableImages,e,r,n,((e,r,n)=>(f||(f=Ho(e)),r.queryIntersectsFeature(l,e,n,f,this.z,t.transform,o,t.pixelPosMatrix))));}return d}loadMatchingFeature(t,e,r,n,i,a,o,s,l,c,u){const h=this.bucketLayerIDs[e];if(a&&!function(t,e){for(let r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return  true;return  false}(a,h))return;const f=this.sourceLayerCoder.decode(r),p=this.vtLayers[f].feature(n);if(i.needGeometry){const t=Go(p,true);if(!i.filter(new Hi(this.tileID.overscaledZ),t,this.tileID.canonical))return}else if(!i.filter(new Hi(this.tileID.overscaledZ),p))return;const d=this.getId(p,f);for(let e=0;e<h.length;e++){const r=h[e];if(a&&a.indexOf(r)<0)continue;const i=s[r];if(!i)continue;let f={};d&&c&&(f=c.getState(i.sourceLayer||\"_geojsonTileLayer\",d));const m=y({},l[r]);m.paint=oh(m.paint,i.paint,p,f,o),m.layout=oh(m.layout,i.layout,p,f,o);const g=!u||u(p,i,f);if(!g)continue;const v=new ih(p,this.z,this.x,this.y,d);v.layer=m;let x=t[r];void 0===x&&(x=t[r]=[]),x.push({featureIndex:n,feature:v,intersectionZ:g});}}lookupSymbolFeatures(t,e,r,n,i,a,o,s){const l={};this.loadVTLayers();const c=zn(i);for(const i of t)this.loadMatchingFeature(l,r,n,i,c,a,o,s,e);return l}hasLayer(t){for(const e of this.bucketLayerIDs)for(const r of e)if(t===r)return  true;return  false}getId(t,e){let r=t.id;if(this.promoteId){const n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];r=t.properties[n],\"boolean\"==typeof r&&(r=Number(r));}return r}}function oh(t,e,r,n,i){return x(t,((t,a)=>{const o=e instanceof Ki?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function sh(t){let e=1/0,r=1/0,n=-1/0,i=-1/0;for(const a of t)e=Math.min(e,a.x),r=Math.min(r,a.y),n=Math.max(n,a.x),i=Math.max(i,a.y);return {minX:e,minY:r,maxX:n,maxY:i}}function lh(t,e){return e-t}function ch(t,e,r,n,i){const o=[];for(let s=0;s<t.length;s++){const l=t[s];let c;for(let t=0;t<l.length-1;t++){let s=l[t],u=l[t+1];s.x<e&&u.x<e||(s.x<e?s=new a(e,s.y+(u.y-s.y)*((e-s.x)/(u.x-s.x)))._round():u.x<e&&(u=new a(e,s.y+(u.y-s.y)*((e-s.x)/(u.x-s.x)))._round()),s.y<r&&u.y<r||(s.y<r?s=new a(s.x+(u.x-s.x)*((r-s.y)/(u.y-s.y)),r)._round():u.y<r&&(u=new a(s.x+(u.x-s.x)*((r-s.y)/(u.y-s.y)),r)._round()),s.x>=n&&u.x>=n||(s.x>=n?s=new a(n,s.y+(u.y-s.y)*((n-s.x)/(u.x-s.x)))._round():u.x>=n&&(u=new a(n,s.y+(u.y-s.y)*((n-s.x)/(u.x-s.x)))._round()),s.y>=i&&u.y>=i||(s.y>=i?s=new a(s.x+(u.x-s.x)*((i-s.y)/(u.y-s.y)),i)._round():u.y>=i&&(u=new a(s.x+(u.x-s.x)*((i-s.y)/(u.y-s.y)),i)._round()),c&&s.equals(c[c.length-1])||(c=[s],o.push(c)),c.push(u)))));}}return o}Mi(\"FeatureIndex\",ah,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});class uh extends a{constructor(t,e,r,n){super(t,e),this.angle=r,void 0!==n&&(this.segment=n);}clone(){return new uh(this.x,this.y,this.angle,this.segment)}}function hh(t,e,r,n,i){if(void 0===e.segment||0===r)return  true;let a=e,o=e.segment+1,s=0;for(;s>-r/2;){if(o--,o<0)return  false;s-=t[o].dist(a),a=t[o];}s+=t[o].dist(t[o+1]),o++;const l=[];let c=0;for(;s<r/2;){const e=t[o-1],r=t[o],a=t[o+1];if(!a)return  false;let u=e.angleTo(r)-r.angleTo(a);for(u=Math.abs((u+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:u}),c+=u;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>i)return  false;o++,s+=r.dist(a);}return  true}function fh(t){let e=0;for(let r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function ph(t,e,r){return t?.6*e*r:0}function dh(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function mh(t,e,r,n,i,a){const o=ph(r,i,a),s=dh(r,n)*a;let l=0;const c=fh(t)/2;for(let r=0;r<t.length-1;r++){const n=t[r],i=t[r+1],a=n.dist(i);if(l+a>c){const u=(c-l)/a,h=Pe.number(n.x,i.x,u),f=Pe.number(n.y,i.y,u),p=new uh(h,f,i.angleTo(n),r);return p._round(),!o||hh(t,p,s,o,e)?p:void 0}l+=a;}}function gh(t,e,r,n,i,a,o,s,l){const c=ph(n,a,o),u=dh(n,i),h=u*o,f=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-h<e/4&&(e=h+e/4),yh(t,f?e/2*s%e:(u/2+2*a)*o*s%e,e,c,r,h,f,false,l)}function yh(t,e,r,n,i,a,o,s,l){const c=a/2,u=fh(t);let h=0,f=e-r,p=[];for(let e=0;e<t.length-1;e++){const o=t[e],s=t[e+1],d=o.dist(s),m=s.angleTo(o);for(;f+r<h+d;){f+=r;const g=(f-h)/d,y=Pe.number(o.x,s.x,g),v=Pe.number(o.y,s.y,g);if(y>=0&&y<l&&v>=0&&v<l&&f-c>=0&&f+c<=u){const r=new uh(y,v,m,e);r._round(),n&&!hh(t,r,a,n,i)||p.push(r);}}h+=d;}return s||p.length||o||(p=yh(t,h/2,r,n,i,a,o,true,l)),p}Mi(\"Anchor\",uh);const vh=Yc;function xh(t,e,r,n){const i=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2*vh,c=o.paddedRect.h-2*vh;let u={x1:t.left,y1:t.top,x2:t.right,y2:t.bottom};const h=o.stretchX||[[0,l]],f=o.stretchY||[[0,c]],p=(t,e)=>t+e[1]-e[0],d=h.reduce(p,0),m=f.reduce(p,0),g=l-d,y=c-m;let v=0,x=d,_=0,b=m,w=0,T=g,k=0,A=y;if(o.content&&n){const e=o.content,r=e[2]-e[0],n=e[3]-e[1];(o.textFitWidth||o.textFitHeight)&&(u=du(t)),v=_h(h,0,e[0]),_=_h(f,0,e[1]),x=_h(h,e[0],e[2]),b=_h(f,e[1],e[3]),w=e[0]-v,k=e[1]-_,T=r-x,A=n-b;}const M=u.x1,S=u.y1,E=u.x2-M,C=u.y2-S,L=(t,n,i,l)=>{const c=wh(t.stretch-v,x,E,M),u=Th(t.fixed-w,T,t.stretch,d),h=wh(n.stretch-_,b,C,S),f=Th(n.fixed-k,A,n.stretch,m),p=wh(i.stretch-v,x,E,M),g=Th(i.fixed-w,T,i.stretch,d),y=wh(l.stretch-_,b,C,S),L=Th(l.fixed-k,A,l.stretch,m),I=new a(c,h),P=new a(p,h),z=new a(p,y),O=new a(c,y),D=new a(u/s,f/s),R=new a(g/s,L/s),F=e*Math.PI/180;if(F){const t=Math.sin(F),e=Math.cos(F),r=[e,-t,t,e];I._matMult(r),P._matMult(r),O._matMult(r),z._matMult(r);}const B=t.stretch+t.fixed,N=i.stretch+i.fixed,j=n.stretch+n.fixed,U=l.stretch+l.fixed;return {tl:I,tr:P,bl:O,br:z,tex:{x:o.paddedRect.x+vh+B,y:o.paddedRect.y+vh+j,w:N-B,h:U-j},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:D,pixelOffsetBR:R,minFontScaleX:T/s/E,minFontScaleY:A/s/C,isSDF:r}};if(n&&(o.stretchX||o.stretchY)){const t=bh(h,g,d),e=bh(f,y,m);for(let r=0;r<t.length-1;r++){const n=t[r],a=t[r+1];for(let t=0;t<e.length-1;t++){const r=e[t],o=e[t+1];i.push(L(n,r,a,o));}}}else i.push(L({fixed:0,stretch:-1},{fixed:0,stretch:-1},{fixed:0,stretch:l+1},{fixed:0,stretch:c+1}));return i}function _h(t,e,r){let n=0;for(const i of t)n+=Math.max(e,Math.min(r,i[1]))-Math.max(e,Math.min(r,i[0]));return n}function bh(t,e,r){const n=[{fixed:-vh,stretch:0}];for(const[e,r]of t){const t=n[n.length-1];n.push({fixed:e-t.stretch,stretch:t.stretch}),n.push({fixed:e-t.stretch,stretch:t.stretch+(r-e)});}return n.push({fixed:e+vh,stretch:r}),n}function wh(t,e,r,n){return t/e*r+n}function Th(t,e,r,n){return t-e*r/n}class kh{constructor(t,e,r,n,i,o,s,l,c,u){var h;if(this.boxStartIndex=t.length,c){let t=o.top,e=o.bottom;const r=o.collisionPadding;r&&(t-=r[1],e+=r[3]);let n=e-t;n>0&&(n=Math.max(10,n),this.circleDiameter=n);}else {const c=(null===(h=o.image)||void 0===h?void 0:h.content)&&(o.image.textFitWidth||o.image.textFitHeight)?du(o):{x1:o.left,y1:o.top,x2:o.right,y2:o.bottom};c.y1=c.y1*s-l[0],c.y2=c.y2*s+l[2],c.x1=c.x1*s-l[3],c.x2=c.x2*s+l[1];const f=o.collisionPadding;if(f&&(c.x1-=f[0]*s,c.y1-=f[1]*s,c.x2+=f[2]*s,c.y2+=f[3]*s),u){const t=new a(c.x1,c.y1),e=new a(c.x2,c.y1),r=new a(c.x1,c.y2),n=new a(c.x2,c.y2),i=u*Math.PI/180;t._rotate(i),e._rotate(i),r._rotate(i),n._rotate(i),c.x1=Math.min(t.x,e.x,r.x,n.x),c.x2=Math.max(t.x,e.x,r.x,n.x),c.y1=Math.min(t.y,e.y,r.y,n.y),c.y2=Math.max(t.y,e.y,r.y,n.y);}t.emplaceBack(e.x,e.y,c.x1,c.y1,c.x2,c.y2,r,n,i);}this.boxEndIndex=t.length;}}class Ah{constructor(t=[],e=((t,e)=>t<e?-1:t>e?1:0)){if(this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(let t=(this.length>>1)-1;t>=0;t--)this._down(t);}push(t){this.data.push(t),this._up(this.length++);}pop(){if(0===this.length)return;const t=this.data[0],e=this.data.pop();return --this.length>0&&(this.data[0]=e,this._down(0)),t}peek(){return this.data[0]}_up(t){const{data:e,compare:r}=this,n=e[t];for(;t>0;){const i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i;}e[t]=n;}_down(t){const{data:e,compare:r}=this,n=this.length>>1,i=e[t];for(;t<n;){let n=1+(t<<1);const a=n+1;if(a<this.length&&r(e[a],e[n])<0&&(n=a),r(e[n],i)>=0)break;e[t]=e[n],t=n;}e[t]=i;}}function Mh(t,e=1,r=false){let n=1/0,i=1/0,o=-1/0,s=-1/0;const l=t[0];for(let t=0;t<l.length;t++){const e=l[t];(!t||e.x<n)&&(n=e.x),(!t||e.y<i)&&(i=e.y),(!t||e.x>o)&&(o=e.x),(!t||e.y>s)&&(s=e.y);}const c=o-n,u=s-i,h=Math.min(c,u);let f=h/2;const p=new Ah([],Sh);if(0===h)return new a(n,i);for(let e=n;e<o;e+=h)for(let r=i;r<s;r+=h)p.push(new Eh(e+f,r+f,f,t));let d=function(t){let e=0,r=0,n=0;const i=t[0];for(let t=0,a=i.length,o=a-1;t<a;o=t++){const a=i[t],s=i[o],l=a.x*s.y-s.x*a.y;r+=(a.x+s.x)*l,n+=(a.y+s.y)*l,e+=3*l;}return new Eh(r/e,n/e,0,t)}(t),m=p.length;for(;p.length;){const n=p.pop();(n.d>d.d||!d.d)&&(d=n,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*n.d)/1e4,m)),n.max-d.d<=e||(f=n.h/2,p.push(new Eh(n.p.x-f,n.p.y-f,f,t)),p.push(new Eh(n.p.x+f,n.p.y-f,f,t)),p.push(new Eh(n.p.x-f,n.p.y+f,f,t)),p.push(new Eh(n.p.x+f,n.p.y+f,f,t)),m+=4);}return r&&(console.log(`num probes: ${m}`),console.log(`best distance: ${d.d}`)),d.p}function Sh(t,e){return e.max-t.max}function Eh(t,e,r,n){this.p=new a(t,e),this.h=r,this.d=function(t,e){let r=false,n=1/0;for(let i=0;i<e.length;i++){const a=e[i];for(let e=0,i=a.length,o=i-1;e<i;o=e++){const i=a[e],s=a[o];i.y>t.y!=s.y>t.y&&t.x<(s.x-i.x)*(t.y-i.y)/(s.y-i.y)+i.x&&(r=!r),n=Math.min(n,es(t,i,s));}}return (r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2;}var Ch;t.ar=void 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r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s<o;s++){var l=r[s],c=1;1===n&&(c=l.length),e.writeVarint(M(1,c));for(var u=3===n?l.length-1:l.length,h=0;h<u;h++){1===h&&1!==n&&e.writeVarint(M(2,u-1));var f=l[h].x-i,p=l[h].y-a;e.writeVarint(S(f)),e.writeVarint(S(p)),i+=f,a+=p;}3===n&&e.writeVarint(M(7,1));}}function C(t,e){var r=typeof t;\"string\"===r?e.writeStringField(1,t):\"boolean\"===r?e.writeBooleanField(7,t):\"number\"===r&&(t%1!=0?e.writeDoubleField(3,t):t<0?e.writeSVarintField(6,t):e.writeVarintField(5,t));}d.exports=w,d.exports.fromVectorTileJs=w,d.exports.fromGeojsonVt=function(t,e){e=e||{};var r={};for(var n in t)r[n]=new b(t[n].features,e),r[n].name=n,r[n].version=e.version,r[n].extent=e.extent;return w({layers:r})},d.exports.GeoJSONWrapper=b;var L=d.exports,I=t.bx(L);const P={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:false,generateId:false,reduce:null,map:t=>t},z=Math.fround||(O=new Float32Array(1),t=>(O[0]=+t,O[0]));var O;const D=3,R=5,F=6;class B{constructor(t){this.options=Object.assign(Object.create(P),t),this.trees=new Array(this.options.maxZoom+1),this.stride=this.options.reduce?7:6,this.clusterProps=[];}load(t){const{log:e,minZoom:r,maxZoom:n}=this.options;e&&console.time(\"total time\");const i=`prepare ${t.length} points`;e&&console.time(i),this.points=t;const a=[];for(let e=0;e<t.length;e++){const r=t[e];if(!r.geometry)continue;const[n,i]=r.geometry.coordinates,o=z(U(n)),s=z(V(i));a.push(o,s,1/0,e,-1,1),this.options.reduce&&a.push(0);}let o=this.trees[n+1]=this._createTree(a);e&&console.timeEnd(i);for(let t=n;t>=r;t--){const r=+Date.now();o=this.trees[t]=this._createTree(this._cluster(o,t)),e&&console.log(\"z%d: %d clusters in %dms\",t,o.numItems,+Date.now()-r);}return e&&console.timeEnd(\"total time\"),this}getClusters(t,e){let r=((t[0]+180)%360+360)%360-180;const n=Math.max(-90,Math.min(90,t[1]));let i=180===t[2]?180:((t[2]+180)%360+360)%360-180;const a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){const t=this.getClusters([r,n,180,a],e),o=this.getClusters([-180,n,i,a],e);return t.concat(o)}const o=this.trees[this._limitZoom(e)],s=o.range(U(r),V(a),U(i),V(n)),l=o.data,c=[];for(const t of s){const e=this.stride*t;c.push(l[e+R]>1?N(l,e,this.clusterProps):this.points[l[e+D]]);}return c}getChildren(t){const e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);const a=i.data;if(e*this.stride>=a.length)throw new Error(n);const o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=a[e*this.stride],l=a[e*this.stride+1],c=i.within(s,l,o),u=[];for(const e of c){const r=e*this.stride;a[r+4]===t&&u.push(a[r+R]>1?N(a,r,this.clusterProps):this.points[a[r+D]]);}if(0===u.length)throw new Error(n);return u}getLeaves(t,e,r){e=e||10,r=r||0;const n=[];return this._appendLeaves(n,t,e,r,0),n}getTile(t,e,r){const n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),{extent:a,radius:o}=this.options,s=o/a,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.data,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.data,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.data,-1,r,i,u),u.features.length?u:null}getClusterExpansionZoom(t){let e=this._getOriginZoom(t)-1;for(;e<=this.options.maxZoom;){const r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id;}return e}_appendLeaves(t,e,r,n,i){const a=this.getChildren(e);for(const e of a){const a=e.properties;if(a&&a.cluster?i+a.point_count<=n?i+=a.point_count:i=this._appendLeaves(t,a.cluster_id,r,n,i):i<n?i++:t.push(e),t.length===r)break}return i}_createTree(e){const r=new t.aw(e.length/this.stride|0,this.options.nodeSize,Float32Array);for(let t=0;t<e.length;t+=this.stride)r.add(e[t],e[t+1]);return r.finish(),r.data=e,r}_addTileFeatures(t,e,r,n,i,a){for(const o of 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a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:t.length,source:null,x:r,y:n,z:e,transformed:false,minX:2,minY:1,maxX:-1,maxY:0};for(const e of t)pt(o,e,a,i);return o}function pt(t,e,r,n){const i=e.geometry,a=e.type,o=[];if(t.minX=Math.min(t.minX,e.minX),t.minY=Math.min(t.minY,e.minY),t.maxX=Math.max(t.maxX,e.maxX),t.maxY=Math.max(t.maxY,e.maxY),\"Point\"===a||\"MultiPoint\"===a)for(let e=0;e<i.length;e+=3)o.push(i[e],i[e+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===a)dt(o,i,t,r,false,false);else if(\"MultiLineString\"===a||\"Polygon\"===a)for(let e=0;e<i.length;e++)dt(o,i[e],t,r,\"Polygon\"===a,0===e);else if(\"MultiPolygon\"===a)for(let e=0;e<i.length;e++){const n=i[e];for(let e=0;e<n.length;e++)dt(o,n[e],t,r,true,0===e);}if(o.length){let r=e.tags||null;if(\"LineString\"===a&&n.lineMetrics){r={};for(const t in e.tags)r[t]=e.tags[t];r.mapbox_clip_start=i.start/i.size,r.mapbox_clip_end=i.end/i.size;}const s={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:r};null!==e.id&&(s.id=e.id),t.features.push(s);}}function dt(t,e,r,n,i,a){const o=n*n;if(n>0&&e.size<(i?o:n))return void(r.numPoints+=e.length/3);const s=[];for(let t=0;t<e.length;t+=3)(0===n||e[t+2]>o)&&(r.numSimplified++,s.push(e[t],e[t+1])),r.numPoints++;i&&function(t,e){let r=0;for(let e=0,n=t.length,i=n-2;e<n;i=e,e+=2)r+=(t[e]-t[i])*(t[e+1]+t[i+1]);if(r>0===e)for(let e=0,r=t.length;e<r/2;e+=2){const n=t[e],i=t[e+1];t[e]=t[r-2-e],t[e+1]=t[r-1-e],t[r-2-e]=n,t[r-1-e]=i;}}(s,a),t.push(s);}const mt={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:false,promoteId:null,generateId:false,debug:0};class gt{constructor(t,e){const r=(e=this.options=function(t,e){for(const r in e)t[r]=e[r];return t}(Object.create(mt),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");let n=function(t,e){const r=[];if(\"FeatureCollection\"===t.type)for(let n=0;n<t.features.length;n++)Y(r,t.features[n],e,n);else \"Feature\"===t.type?Y(r,t,e):Y(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),n=function(t,e){const r=e.buffer/e.extent;let n=t;const i=tt(t,1,-1-r,r,0,-1,2,e),a=tt(t,1,1-r,2+r,0,-1,2,e);return (i||a)&&(n=tt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=lt(i,1).concat(n)),a&&(n=n.concat(lt(a,-1)))),n}(n,e),n.length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)));}splitTile(t,e,r,n,i,a,o){const s=[t,e,r,n],l=this.options,c=l.debug;for(;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();const u=1<<e,h=yt(e,r,n);let f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=ft(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));const t=`z${e}`;this.stats[t]=(this.stats[t]||0)+1,this.total++;}if(f.source=t,null==i){if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue}else {if(e===l.maxZoom||e===i)continue;if(null!=i){const t=i-e;if(r!==a>>t||n!==o>>t)continue}}if(f.source=null,0===t.length)continue;c>1&&console.time(\"clipping\");const p=.5*l.buffer/l.extent,d=.5-p,m=.5+p,g=1+p;let y=null,v=null,x=null,_=null,b=tt(t,u,r-p,r+m,0,f.minX,f.maxX,l),w=tt(t,u,r+d,r+g,0,f.minX,f.maxX,l);t=null,b&&(y=tt(b,u,n-p,n+m,1,f.minY,f.maxY,l),v=tt(b,u,n+d,n+g,1,f.minY,f.maxY,l),b=null),w&&(x=tt(w,u,n-p,n+m,1,f.minY,f.maxY,l),_=tt(w,u,n+d,n+g,1,f.minY,f.maxY,l),w=null),c>1&&console.timeEnd(\"clipping\"),s.push(y||[],e+1,2*r,2*n),s.push(v||[],e+1,2*r,2*n+1),s.push(x||[],e+1,2*r+1,2*n),s.push(_||[],e+1,2*r+1,2*n+1);}}getTile(t,e,r){t=+t,e=+e,r=+r;const n=this.options,{extent:i,debug:a}=n;if(t<0||t>24)return null;const o=1<<t,s=yt(t,e=e+o&o-1,r);if(this.tiles[s])return ut(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);let l,c=t,u=e,h=r;for(;!l&&c>0;)c--,u>>=1,h>>=1,l=this.tiles[yt(c,u,h)];return l&&l.source?(a>1&&(console.log(\"found parent tile z%d-%d-%d\",c,u,h),console.time(\"drilling down\")),this.splitTile(l.source,c,u,h,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?ut(this.tiles[s],i):null):null}}function yt(t,e,r){return 32*((1<<t)*r+e)+t}function vt(t,e){return e?t.properties[e]:t.id}function xt(t,e){if(null==t)return  true;if(\"Feature\"===t.type)return null!=vt(t,e);if(\"FeatureCollection\"===t.type){const r=new Set;for(const n of t.features){const t=vt(n,e);if(null==t)return  false;if(r.has(t))return  false;r.add(t);}return  true}return  false}function _t(t,e){const r=new Map;if(null==t);else if(\"Feature\"===t.type)r.set(vt(t,e),t);else for(const n of t.features)r.set(vt(n,e),n);return r}class bt extends a{constructor(){super(...arguments),this._dataUpdateable=new Map;}loadVectorTile(e,r){return t._(this,void 0,void 0,(function*(){const t=e.tileID.canonical;if(!this._geoJSONIndex)throw new Error(\"Unable to parse the data into a cluster or geojson\");const r=this._geoJSONIndex.getTile(t.z,t.x,t.y);if(!r)return null;const n=new p(r.features);let i=I(n);return 0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),{vectorTile:n,rawData:i.buffer}}))}loadData(e){return t._(this,void 0,void 0,(function*(){var r;null===(r=this._pendingRequest)||void 0===r||r.abort();const n=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.bu(e.request);this._pendingRequest=new AbortController;try{this._pendingData=this.loadAndProcessGeoJSON(e,this._pendingRequest),this._geoJSONIndex=e.cluster?new B(function({superclusterOptions:e,clusterProperties:r}){if(!r||!e)return e;const n={},i={},a={accumulated:null,zoom:0},o={properties:null},s=Object.keys(r);for(const e of s){const[a,o]=r[e],s=t.bB(o),l=t.bB(\"string\"==typeof a?[a,[\"accumulated\"],[\"get\",e]]:a);n[e]=s.value,i[e]=l.value;}return e.map=t=>{o.properties=t;const e={};for(const t of s)e[t]=n[t].evaluate(a,o);return e},e.reduce=(t,e)=>{o.properties=e;for(const e of s)a.accumulated=t[e],t[e]=i[e].evaluate(a,o);},e}(e)).load((yield this._pendingData).features):(i=yield this._pendingData,a=e.geojsonVtOptions,new gt(i,a)),this.loaded={};const r={};if(n){const t=n.finish();t&&(r.resourceTiming={},r.resourceTiming[e.source]=JSON.parse(JSON.stringify(t)));}return r}catch(e){if(delete this._pendingRequest,t.bA(e))return {abandoned:true};throw e}var i,a;}))}getData(){return t._(this,void 0,void 0,(function*(){return this._pendingData}))}reloadTile(t){const e=this.loaded,r=t.uid;return e&&e[r]?super.reloadTile(t):this.loadTile(t)}loadAndProcessGeoJSON(e,r){return t._(this,void 0,void 0,(function*(){let n=yield this.loadGeoJSON(e,r);if(delete this._pendingRequest,\"object\"!=typeof n)throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`);if(u(n,true),e.filter){const r=t.bB(e.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:false,transition:false});if(\"error\"===r.result)throw new Error(r.value.map((t=>`${t.key}: ${t.message}`)).join(\", \"));const i=n.features.filter((t=>r.value.evaluate({zoom:0},t)));n={type:\"FeatureCollection\",features:i};}return n}))}loadGeoJSON(e,r){return t._(this,void 0,void 0,(function*(){const{promoteId:n}=e;if(e.request){const i=yield t.h(e.request,r);return this._dataUpdateable=xt(i.data,n)?_t(i.data,n):void 0,i.data}if(\"string\"==typeof e.data)try{const t=JSON.parse(e.data);return this._dataUpdateable=xt(t,n)?_t(t,n):void 0,t}catch(t){throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`)}if(!e.dataDiff)throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`);if(!this._dataUpdateable)throw new Error(`Cannot update existing geojson data in ${e.source}`);return function(t,e,r){var n,i,a,o;if(e.removeAll&&t.clear(),e.remove)for(const r of e.remove)t.delete(r);if(e.add)for(const n of e.add){const e=vt(n,r);null!=e&&t.set(e,n);}if(e.update)for(const r of e.update){let e=t.get(r.id);if(null==e)continue;const s=r.newGeometry||r.removeAllProperties,l=!r.removeAllProperties&&((null===(n=r.removeProperties)||void 0===n?void 0:n.length)>0||(null===(i=r.addOrUpdateProperties)||void 0===i?void 0:i.length)>0);if((s||l)&&(e=Object.assign({},e),t.set(r.id,e),l&&(e.properties=Object.assign({},e.properties))),r.newGeometry&&(e.geometry=r.newGeometry),r.removeAllProperties)e.properties={};else if((null===(a=r.removeProperties)||void 0===a?void 0:a.length)>0)for(const t of r.removeProperties)Object.prototype.hasOwnProperty.call(e.properties,t)&&delete e.properties[t];if((null===(o=r.addOrUpdateProperties)||void 0===o?void 0:o.length)>0)for(const{key:t,value:n}of r.addOrUpdateProperties)e.properties[t]=n;}}(this._dataUpdateable,e.dataDiff,n),{type:\"FeatureCollection\",features:Array.from(this._dataUpdateable.values())}}))}removeSource(e){return t._(this,void 0,void 0,(function*(){this._pendingRequest&&this._pendingRequest.abort();}))}getClusterExpansionZoom(t){return this._geoJSONIndex.getClusterExpansionZoom(t.clusterId)}getClusterChildren(t){return this._geoJSONIndex.getChildren(t.clusterId)}getClusterLeaves(t){return this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset)}}class wt{constructor(e){this.self=e,this.actor=new t.F(e),this.layerIndexes={},this.availableImages={},this.workerSources={},this.demWorkerSources={},this.externalWorkerSourceTypes={},this.self.registerWorkerSource=(t,e)=>{if(this.externalWorkerSourceTypes[t])throw new Error(`Worker source with name \"${t}\" already registered.`);this.externalWorkerSourceTypes[t]=e;},this.self.addProtocol=t.bh,this.self.removeProtocol=t.bi,this.self.registerRTLTextPlugin=e=>{if(t.bC.isParsed())throw new Error(\"RTL text plugin already registered.\");t.bC.setMethods(e);},this.actor.registerMessageHandler(\"LDT\",((t,e)=>this._getDEMWorkerSource(t,e.source).loadTile(e))),this.actor.registerMessageHandler(\"RDT\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getDEMWorkerSource(e,r.source).removeTile(r);})))),this.actor.registerMessageHandler(\"GCEZ\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterExpansionZoom(r)})))),this.actor.registerMessageHandler(\"GCC\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterChildren(r)})))),this.actor.registerMessageHandler(\"GCL\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterLeaves(r)})))),this.actor.registerMessageHandler(\"LD\",((t,e)=>this._getWorkerSource(t,e.type,e.source).loadData(e))),this.actor.registerMessageHandler(\"GD\",((t,e)=>this._getWorkerSource(t,e.type,e.source).getData())),this.actor.registerMessageHandler(\"LT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).loadTile(e))),this.actor.registerMessageHandler(\"RT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).reloadTile(e))),this.actor.registerMessageHandler(\"AT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).abortTile(e))),this.actor.registerMessageHandler(\"RMT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).removeTile(e))),this.actor.registerMessageHandler(\"RS\",((e,r)=>t._(this,void 0,void 0,(function*(){if(!this.workerSources[e]||!this.workerSources[e][r.type]||!this.workerSources[e][r.type][r.source])return;const t=this.workerSources[e][r.type][r.source];delete this.workerSources[e][r.type][r.source],void 0!==t.removeSource&&t.removeSource(r);})))),this.actor.registerMessageHandler(\"RM\",(e=>t._(this,void 0,void 0,(function*(){delete this.layerIndexes[e],delete this.availableImages[e],delete this.workerSources[e],delete this.demWorkerSources[e];})))),this.actor.registerMessageHandler(\"SR\",((e,r)=>t._(this,void 0,void 0,(function*(){this.referrer=r;})))),this.actor.registerMessageHandler(\"SRPS\",((t,e)=>this._syncRTLPluginState(t,e))),this.actor.registerMessageHandler(\"IS\",((e,r)=>t._(this,void 0,void 0,(function*(){this.self.importScripts(r);})))),this.actor.registerMessageHandler(\"SI\",((t,e)=>this._setImages(t,e))),this.actor.registerMessageHandler(\"UL\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getLayerIndex(e).update(r.layers,r.removedIds);})))),this.actor.registerMessageHandler(\"SL\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getLayerIndex(e).replace(r);}))));}_setImages(e,r){return t._(this,void 0,void 0,(function*(){this.availableImages[e]=r;for(const t in this.workerSources[e]){const n=this.workerSources[e][t];for(const t in n)n[t].availableImages=r;}}))}_syncRTLPluginState(e,r){return t._(this,void 0,void 0,(function*(){if(t.bC.isParsed())return t.bC.getState();if(\"loading\"!==r.pluginStatus)return t.bC.setState(r),r;const e=r.pluginURL;if(this.self.importScripts(e),t.bC.isParsed()){const r={pluginStatus:\"loaded\",pluginURL:e};return t.bC.setState(r),r}throw t.bC.setState({pluginStatus:\"error\",pluginURL:\"\"}),new Error(`RTL Text Plugin failed to import scripts from ${e}`)}))}_getAvailableImages(t){let e=this.availableImages[t];return e||(e=[]),e}_getLayerIndex(t){let r=this.layerIndexes[t];return r||(r=this.layerIndexes[t]=new e),r}_getWorkerSource(t,e,r){if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){const n={sendAsync:(e,r)=>(e.targetMapId=t,this.actor.sendAsync(e,r))};switch(e){case \"vector\":this.workerSources[t][e][r]=new a(n,this._getLayerIndex(t),this._getAvailableImages(t));break;case \"geojson\":this.workerSources[t][e][r]=new bt(n,this._getLayerIndex(t),this._getAvailableImages(t));break;default:this.workerSources[t][e][r]=new this.externalWorkerSourceTypes[e](n,this._getLayerIndex(t),this._getAvailableImages(t));}}return this.workerSources[t][e][r]}_getDEMWorkerSource(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new o),this.demWorkerSources[t][e]}}return t.i(self)&&(self.worker=new wt(self)),wt})),r(\"index\",0,(function(t,e){var r=\"4.5.2\";let n,i;const a={now:\"undefined\"!=typeof performance&&performance&&performance.now?performance.now.bind(performance):Date.now.bind(Date),frameAsync(t){return new Promise(((r,n)=>{const i=requestAnimationFrame(r);t.signal.addEventListener(\"abort\",(()=>{cancelAnimationFrame(i),n(e.c());}));}))},getImageData(t,e=0){return this.getImageCanvasContext(t).getImageData(-e,-e,t.width+2*e,t.height+2*e)},getImageCanvasContext(t){const e=window.document.createElement(\"canvas\"),r=e.getContext(\"2d\",{willReadFrequently:true});if(!r)throw new Error(\"failed to create canvas 2d context\");return e.width=t.width,e.height=t.height,r.drawImage(t,0,0,t.width,t.height),r},resolveURL(t){return n||(n=document.createElement(\"a\")),n.href=t,n.href},hardwareConcurrency:\"undefined\"!=typeof navigator&&navigator.hardwareConcurrency||4,get prefersReducedMotion(){return !!matchMedia&&(null==i&&(i=matchMedia(\"(prefers-reduced-motion: reduce)\")),i.matches)}};class o{static testProp(t){if(!o.docStyle)return t[0];for(let e=0;e<t.length;e++)if(t[e]in o.docStyle)return t[e];return t[0]}static create(t,e,r){const n=window.document.createElement(t);return void 0!==e&&(n.className=e),r&&r.appendChild(n),n}static createNS(t,e){return window.document.createElementNS(t,e)}static disableDrag(){o.docStyle&&o.selectProp&&(o.userSelect=o.docStyle[o.selectProp],o.docStyle[o.selectProp]=\"none\");}static enableDrag(){o.docStyle&&o.selectProp&&(o.docStyle[o.selectProp]=o.userSelect);}static setTransform(t,e){t.style[o.transformProp]=e;}static addEventListener(t,e,r,n={}){\"passive\"in n?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture);}static removeEventListener(t,e,r,n={}){\"passive\"in n?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture);}static suppressClickInternal(t){t.preventDefault(),t.stopPropagation(),window.removeEventListener(\"click\",o.suppressClickInternal,true);}static suppressClick(){window.addEventListener(\"click\",o.suppressClickInternal,true),window.setTimeout((()=>{window.removeEventListener(\"click\",o.suppressClickInternal,true);}),0);}static getScale(t){const e=t.getBoundingClientRect();return {x:e.width/t.offsetWidth||1,y:e.height/t.offsetHeight||1,boundingClientRect:e}}static getPoint(t,r,n){const i=r.boundingClientRect;return new e.P((n.clientX-i.left)/r.x-t.clientLeft,(n.clientY-i.top)/r.y-t.clientTop)}static mousePos(t,e){const r=o.getScale(t);return o.getPoint(t,r,e)}static touchPos(t,e){const r=[],n=o.getScale(t);for(let i=0;i<e.length;i++)r.push(o.getPoint(t,n,e[i]));return r}static mouseButton(t){return t.button}static remove(t){t.parentNode&&t.parentNode.removeChild(t);}}o.docStyle=\"undefined\"!=typeof window&&window.document&&window.document.documentElement.style,o.selectProp=o.testProp([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]),o.transformProp=o.testProp([\"transform\",\"WebkitTransform\"]);const s={supported:false,testSupport:function(t){!u&&c&&(h?f(t):l=t);}};let l,c,u=false,h=false;function f(t){const e=t.createTexture();t.bindTexture(t.TEXTURE_2D,e);try{if(t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,c),t.isContextLost())return;s.supported=!0;}catch(t){}t.deleteTexture(e),u=true;}var p;\"undefined\"!=typeof document&&(c=document.createElement(\"img\"),c.onload=()=>{l&&f(l),l=null,h=true;},c.onerror=()=>{u=true,l=null;},c.src=\"data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=\"),function(t){let r,n,i,a;t.resetRequestQueue=()=>{r=[],n=0,i=0,a={};},t.addThrottleControl=t=>{const e=i++;return a[e]=t,e},t.removeThrottleControl=t=>{delete a[t],l();};t.getImage=(t,n,i=true)=>new Promise(((a,o)=>{s.supported&&(t.headers||(t.headers={}),t.headers.accept=\"image/webp,*/*\"),e.e(t,{type:\"image\"});const c={abortController:n,requestParameters:t,supportImageRefresh:i,state:\"queued\",onError:t=>{o(t);},onSuccess:t=>{a(t);}};r.push(c),l();}));const o=t=>e._(this,void 0,void 0,(function*(){t.state=\"running\";const{requestParameters:r,supportImageRefresh:i,onError:a,onSuccess:o,abortController:s}=t,u=false===i&&!e.i(self)&&!e.g(r.url)&&(!r.headers||Object.keys(r.headers).reduce(((t,e)=>t&&\"accept\"===e),true));n++;const h=u?c(r,s):e.m(r,s);try{const r=yield h;delete t.abortController,t.state=\"completed\",r.data instanceof HTMLImageElement||e.b(r.data)?o(r):r.data&&o({data:yield(f=r.data,\"function\"==typeof createImageBitmap?e.d(f):e.f(f)),cacheControl:r.cacheControl,expires:r.expires});}catch(e){delete t.abortController,a(e);}finally{n--,l();}var f;})),l=()=>{const t=(()=>{for(const t of Object.keys(a))if(a[t]())return  true;return  false})()?e.a.MAX_PARALLEL_IMAGE_REQUESTS_PER_FRAME:e.a.MAX_PARALLEL_IMAGE_REQUESTS;for(let e=n;e<t&&r.length>0;e++){const t=r.shift();t.abortController.signal.aborted?e--:o(t);}},c=(t,r)=>new Promise(((n,i)=>{const a=new Image,o=t.url,s=t.credentials;s&&\"include\"===s?a.crossOrigin=\"use-credentials\":(s&&\"same-origin\"===s||!e.s(o))&&(a.crossOrigin=\"anonymous\"),r.signal.addEventListener(\"abort\",(()=>{a.src=\"\",i(e.c());})),a.fetchPriority=\"high\",a.onload=()=>{a.onerror=a.onload=null,n({data:a});},a.onerror=()=>{a.onerror=a.onload=null,r.signal.aborted||i(new Error(\"Could not load image. Please make sure to use a supported image type such as PNG or JPEG. Note that SVGs are not supported.\"));},a.src=o;}));}(p||(p={})),p.resetRequestQueue();class d{constructor(t){this._transformRequestFn=t;}transformRequest(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}}setTransformRequest(t){this._transformRequestFn=t;}}function m(t){var r=new e.A(3);return r[0]=t[0],r[1]=t[1],r[2]=t[2],r}var g,y=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t};g=new e.A(3),e.A!=Float32Array&&(g[0]=0,g[1]=0,g[2]=0);var v=function(t){var e=t[0],r=t[1];return e*e+r*r};function x(t){const e=[];if(\"string\"==typeof t)e.push({id:\"default\",url:t});else if(t&&t.length>0){const r=[];for(const{id:n,url:i}of t){const t=`${n}${i}`;-1===r.indexOf(t)&&(r.push(t),e.push({id:n,url:i}));}}return e}function _(t,e,r){const n=t.split(\"?\");return n[0]+=`${e}${r}`,n.join(\"?\")}function b(t,r,n,i){return e._(this,void 0,void 0,(function*(){const o=x(t),s=n>1?\"@2x\":\"\",l={},c={};for(const{id:t,url:n}of o){const a=r.transformRequest(_(n,s,\".json\"),\"SpriteJSON\");l[t]=e.h(a,i);const o=r.transformRequest(_(n,s,\".png\"),\"SpriteImage\");c[t]=p.getImage(o,i);}return yield Promise.all([...Object.values(l),...Object.values(c)]),function(t,r){return e._(this,void 0,void 0,(function*(){const e={};for(const n in t){e[n]={};const i=a.getImageCanvasContext((yield r[n]).data),o=(yield t[n]).data;for(const t in o){const{width:r,height:a,x:s,y:l,sdf:c,pixelRatio:u,stretchX:h,stretchY:f,content:p,textFitWidth:d,textFitHeight:m}=o[t],g={width:r,height:a,x:s,y:l,context:i};e[n][t]={data:null,pixelRatio:u,sdf:c,stretchX:h,stretchY:f,content:p,textFitWidth:d,textFitHeight:m,spriteData:g};}}return e}))}(l,c)}))}!function(){var t=new e.A(2);e.A!=Float32Array&&(t[0]=0,t[1]=0);}();class w{constructor(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n);}update(t,r,n){const{width:i,height:a}=t,o=!(this.size&&this.size[0]===i&&this.size[1]===a||n),{context:s}=this,{gl:l}=s;if(this.useMipmap=Boolean(r&&r.useMipmap),l.bindTexture(l.TEXTURE_2D,this.texture),s.pixelStoreUnpackFlipY.set(false),s.pixelStoreUnpack.set(1),s.pixelStoreUnpackPremultiplyAlpha.set(this.format===l.RGBA&&(!r||false!==r.premultiply)),o)this.size=[i,a],t instanceof HTMLImageElement||t instanceof HTMLCanvasElement||t instanceof HTMLVideoElement||t instanceof ImageData||e.b(t)?l.texImage2D(l.TEXTURE_2D,0,this.format,this.format,l.UNSIGNED_BYTE,t):l.texImage2D(l.TEXTURE_2D,0,this.format,i,a,0,this.format,l.UNSIGNED_BYTE,t.data);else {const{x:r,y:o}=n||{x:0,y:0};t instanceof HTMLImageElement||t instanceof HTMLCanvasElement||t instanceof HTMLVideoElement||t instanceof ImageData||e.b(t)?l.texSubImage2D(l.TEXTURE_2D,0,r,o,l.RGBA,l.UNSIGNED_BYTE,t):l.texSubImage2D(l.TEXTURE_2D,0,r,o,i,a,l.RGBA,l.UNSIGNED_BYTE,t.data);}this.useMipmap&&this.isSizePowerOfTwo()&&l.generateMipmap(l.TEXTURE_2D);}bind(t,e,r){const{context:n}=this,{gl:i}=n;i.bindTexture(i.TEXTURE_2D,this.texture),r!==i.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=i.LINEAR),t!==this.filter&&(i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,t),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,e),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,e),this.wrap=e);}isSizePowerOfTwo(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0}destroy(){const{gl:t}=this.context;t.deleteTexture(this.texture),this.texture=null;}}function T(t){const{userImage:e}=t;return !!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),true)}class k extends e.E{constructor(){super(),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=false,this.requestors=[],this.patterns={},this.atlasImage=new e.R({width:1,height:1}),this.dirty=true;}isLoaded(){return this.loaded}setLoaded(t){if(this.loaded!==t&&(this.loaded=t,t)){for(const{ids:t,promiseResolve:e}of this.requestors)e(this._getImagesForIds(t));this.requestors=[];}}getImage(t){const r=this.images[t];if(r&&!r.data&&r.spriteData){const t=r.spriteData;r.data=new e.R({width:t.width,height:t.height},t.context.getImageData(t.x,t.y,t.width,t.height).data),r.spriteData=null;}return r}addImage(t,e){if(this.images[t])throw new Error(`Image id ${t} already exist, use updateImage instead`);this._validate(t,e)&&(this.images[t]=e);}_validate(t,r){let n=true;const i=r.data||r.spriteData;return this._validateStretch(r.stretchX,i&&i.width)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"stretchX\" value`))),n=false),this._validateStretch(r.stretchY,i&&i.height)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"stretchY\" value`))),n=false),this._validateContent(r.content,r)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"content\" value`))),n=false),n}_validateStretch(t,e){if(!t)return  true;let r=0;for(const n of t){if(n[0]<r||n[1]<n[0]||e<n[1])return  false;r=n[1];}return  true}_validateContent(t,e){if(!t)return  true;if(4!==t.length)return  false;const r=e.spriteData,n=r&&r.width||e.data.width,i=r&&r.height||e.data.height;return !(t[0]<0||n<t[0]||t[1]<0||i<t[1]||t[2]<0||n<t[2]||t[3]<0||i<t[3]||t[2]<t[0]||t[3]<t[1])}updateImage(t,e,r=true){const n=this.getImage(t);if(r&&(n.data.width!==e.data.width||n.data.height!==e.data.height))throw new Error(`size mismatch between old image (${n.data.width}x${n.data.height}) and new image (${e.data.width}x${e.data.height}).`);e.version=n.version+1,this.images[t]=e,this.updatedImages[t]=true;}removeImage(t){const e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove();}listImages(){return Object.keys(this.images)}getImages(t){return new Promise(((e,r)=>{let n=true;if(!this.isLoaded())for(const e of t)this.images[e]||(n=false);this.isLoaded()||n?e(this._getImagesForIds(t)):this.requestors.push({ids:t,promiseResolve:e});}))}_getImagesForIds(t){const r={};for(const n of t){let t=this.getImage(n);t||(this.fire(new e.k(\"styleimagemissing\",{id:n})),t=this.getImage(n)),t?r[n]={data:t.data.clone(),pixelRatio:t.pixelRatio,sdf:t.sdf,version:t.version,stretchX:t.stretchX,stretchY:t.stretchY,content:t.content,textFitWidth:t.textFitWidth,textFitHeight:t.textFitHeight,hasRenderCallback:Boolean(t.userImage&&t.userImage.render)}:e.w(`Image \"${n}\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.`);}return r}getPixelSize(){const{width:t,height:e}=this.atlasImage;return {width:t,height:e}}getPattern(t){const r=this.patterns[t],n=this.getImage(t);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else {const r={w:n.data.width+2,h:n.data.height+2,x:0,y:0},i=new e.I(r,n);this.patterns[t]={bin:r,position:i};}return this._updatePatternAtlas(),this.patterns[t].position}bind(t){const e=t.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=false):this.atlasTexture=new w(t,this.atlasImage,e.RGBA),this.atlasTexture.bind(e.LINEAR,e.CLAMP_TO_EDGE);}_updatePatternAtlas(){const t=[];for(const e in this.patterns)t.push(this.patterns[e].bin);const{w:r,h:n}=e.p(t),i=this.atlasImage;i.resize({width:r||1,height:n||1});for(const t in this.patterns){const{bin:r}=this.patterns[t],n=r.x+1,a=r.y+1,o=this.getImage(t).data,s=o.width,l=o.height;e.R.copy(o,i,{x:0,y:0},{x:n,y:a},{width:s,height:l}),e.R.copy(o,i,{x:0,y:l-1},{x:n,y:a-1},{width:s,height:1}),e.R.copy(o,i,{x:0,y:0},{x:n,y:a+l},{width:s,height:1}),e.R.copy(o,i,{x:s-1,y:0},{x:n-1,y:a},{width:1,height:l}),e.R.copy(o,i,{x:0,y:0},{x:n+s,y:a},{width:1,height:l});}this.dirty=true;}beginFrame(){this.callbackDispatchedThisFrame={};}dispatchRenderCallbacks(t){for(const r of t){if(this.callbackDispatchedThisFrame[r])continue;this.callbackDispatchedThisFrame[r]=true;const t=this.getImage(r);t||e.w(`Image with ID: \"${r}\" was not found`),T(t)&&this.updateImage(r,t);}}}const A=1e20;function M(t,e,r,n,i,a,o,s,l){for(let c=e;c<e+n;c++)S(t,r*a+c,a,i,o,s,l);for(let c=r;c<r+i;c++)S(t,c*a+e,1,n,o,s,l);}function S(t,e,r,n,i,a,o){a[0]=0,o[0]=-A,o[1]=A,i[0]=t[e];for(let s=1,l=0,c=0;s<n;s++){i[s]=t[e+s*r];const n=s*s;do{const t=a[l];c=(i[s]-i[t]+n-t*t)/(s-t)/2;}while(c<=o[l]&&--l>-1);l++,a[l]=s,o[l]=c,o[l+1]=A;}for(let s=0,l=0;s<n;s++){for(;o[l+1]<s;)l++;const n=a[l],c=s-n;t[e+s*r]=i[n]+c*c;}}class E{constructor(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={};}setURL(t){this.url=t;}getGlyphs(t){return e._(this,void 0,void 0,(function*(){const e=[];for(const r in t)for(const n of t[r])e.push(this._getAndCacheGlyphsPromise(r,n));const r=yield Promise.all(e),n={};for(const{stack:t,id:e,glyph:i}of r)n[t]||(n[t]={}),n[t][e]=i&&{id:i.id,bitmap:i.bitmap.clone(),metrics:i.metrics};return n}))}_getAndCacheGlyphsPromise(t,r){return e._(this,void 0,void 0,(function*(){let e=this.entries[t];e||(e=this.entries[t]={glyphs:{},requests:{},ranges:{}});let n=e.glyphs[r];if(void 0!==n)return {stack:t,id:r,glyph:n};if(n=this._tinySDF(e,t,r),n)return e.glyphs[r]=n,{stack:t,id:r,glyph:n};const i=Math.floor(r/256);if(256*i>65535)throw new Error(\"glyphs > 65535 not supported\");if(e.ranges[i])return {stack:t,id:r,glyph:n};if(!this.url)throw new Error(\"glyphsUrl is not set\");if(!e.requests[i]){const r=E.loadGlyphRange(t,i,this.url,this.requestManager);e.requests[i]=r;}const a=yield e.requests[i];for(const t in a)this._doesCharSupportLocalGlyph(+t)||(e.glyphs[+t]=a[+t]);return e.ranges[i]=true,{stack:t,id:r,glyph:a[r]||null}}))}_doesCharSupportLocalGlyph(t){return !!this.localIdeographFontFamily&&(e.u[\"CJK Unified Ideographs\"](t)||e.u[\"Hangul Syllables\"](t)||e.u.Hiragana(t)||e.u.Katakana(t))}_tinySDF(t,r,n){const i=this.localIdeographFontFamily;if(!i)return;if(!this._doesCharSupportLocalGlyph(n))return;let a=t.tinySDF;if(!a){let e=\"400\";/bold/i.test(r)?e=\"900\":/medium/i.test(r)?e=\"500\":/light/i.test(r)&&(e=\"200\"),a=t.tinySDF=new E.TinySDF({fontSize:48,buffer:6,radius:16,cutoff:.25,fontFamily:i,fontWeight:e});}const o=a.draw(String.fromCharCode(n));return {id:n,bitmap:new e.o({width:o.width||60,height:o.height||60},o.data),metrics:{width:o.glyphWidth/2||24,height:o.glyphHeight/2||24,left:o.glyphLeft/2+.5||0,top:o.glyphTop/2-27.5||-8,advance:o.glyphAdvance/2||24,isDoubleResolution:true}}}}E.loadGlyphRange=function(t,r,n,i){return e._(this,void 0,void 0,(function*(){const a=256*r,o=a+255,s=i.transformRequest(n.replace(\"{fontstack}\",t).replace(\"{range}\",`${a}-${o}`),\"Glyphs\"),l=yield e.l(s,new AbortController);if(!l||!l.data)throw new Error(`Could not load glyph range. range: ${r}, ${a}-${o}`);const c={};for(const t of e.n(l.data))c[t.id]=t;return c}))},E.TinySDF=class{constructor({fontSize:t=24,buffer:e=3,radius:r=8,cutoff:n=.25,fontFamily:i=\"sans-serif\",fontWeight:a=\"normal\",fontStyle:o=\"normal\"}={}){this.buffer=e,this.cutoff=n,this.radius=r;const s=this.size=t+4*e,l=this._createCanvas(s),c=this.ctx=l.getContext(\"2d\",{willReadFrequently:true});c.font=`${o} ${a} ${t}px ${i}`,c.textBaseline=\"alphabetic\",c.textAlign=\"left\",c.fillStyle=\"black\",this.gridOuter=new Float64Array(s*s),this.gridInner=new Float64Array(s*s),this.f=new Float64Array(s),this.z=new Float64Array(s+1),this.v=new Uint16Array(s);}_createCanvas(t){const e=document.createElement(\"canvas\");return e.width=e.height=t,e}draw(t){const{width:e,actualBoundingBoxAscent:r,actualBoundingBoxDescent:n,actualBoundingBoxLeft:i,actualBoundingBoxRight:a}=this.ctx.measureText(t),o=Math.ceil(r),s=Math.max(0,Math.min(this.size-this.buffer,Math.ceil(a-i))),l=Math.min(this.size-this.buffer,o+Math.ceil(n)),c=s+2*this.buffer,u=l+2*this.buffer,h=Math.max(c*u,0),f=new Uint8ClampedArray(h),p={data:f,width:c,height:u,glyphWidth:s,glyphHeight:l,glyphTop:o,glyphLeft:0,glyphAdvance:e};if(0===s||0===l)return p;const{ctx:d,buffer:m,gridInner:g,gridOuter:y}=this;d.clearRect(m,m,s,l),d.fillText(t,m,m+o);const v=d.getImageData(m,m,s,l);y.fill(A,0,h),g.fill(0,0,h);for(let t=0;t<l;t++)for(let e=0;e<s;e++){const r=v.data[4*(t*s+e)+3]/255;if(0===r)continue;const n=(t+m)*c+e+m;if(1===r)y[n]=0,g[n]=A;else {const t=.5-r;y[n]=t>0?t*t:0,g[n]=t<0?t*t:0;}}M(y,0,0,c,u,c,this.f,this.v,this.z),M(g,m,m,s,l,c,this.f,this.v,this.z);for(let t=0;t<h;t++){const e=Math.sqrt(y[t])-Math.sqrt(g[t]);f[t]=Math.round(255-255*(e/this.radius+this.cutoff));}return p}};class C{constructor(){this.specification=e.v.light.position;}possiblyEvaluate(t,r){return e.y(t.expression.evaluate(r))}interpolate(t,r,n){return {x:e.z.number(t.x,r.x,n),y:e.z.number(t.y,r.y,n),z:e.z.number(t.z,r.z,n)}}}const L=\"-transition\";let I;class P extends e.E{constructor(t){super(),I=I||new e.q({anchor:new e.D(e.v.light.anchor),position:new C,color:new e.D(e.v.light.color),intensity:new e.D(e.v.light.intensity)}),this._transitionable=new e.T(I),this.setLight(t),this._transitioning=this._transitionable.untransitioned();}getLight(){return this._transitionable.serialize()}setLight(t,r={}){if(!this._validate(e.r,t,r))for(const e in t){const r=t[e];e.endsWith(L)?this._transitionable.setTransition(e.slice(0,-11),r):this._transitionable.setValue(e,r);}}updateTransitions(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning);}hasTransition(){return this._transitioning.hasTransition()}recalculate(t){this.properties=this._transitioning.possiblyEvaluate(t);}_validate(t,r,n){return (!n||false!==n.validate)&&e.t(this,t.call(e.x,{value:r,style:{glyphs:true,sprite:true},styleSpec:e.v}))}}const z=new e.q({\"sky-color\":new e.D(e.v.sky[\"sky-color\"]),\"horizon-color\":new e.D(e.v.sky[\"horizon-color\"]),\"fog-color\":new e.D(e.v.sky[\"fog-color\"]),\"fog-ground-blend\":new e.D(e.v.sky[\"fog-ground-blend\"]),\"horizon-fog-blend\":new e.D(e.v.sky[\"horizon-fog-blend\"]),\"sky-horizon-blend\":new e.D(e.v.sky[\"sky-horizon-blend\"]),\"atmosphere-blend\":new e.D(e.v.sky[\"atmosphere-blend\"])}),O=\"-transition\";class D extends e.E{constructor(t){super(),this._transitionable=new e.T(z),this.setSky(t),this._transitioning=this._transitionable.untransitioned();}setSky(t,r={}){if(!this._validate(e.B,t,r))for(const e in t){const r=t[e];e.endsWith(O)?this._transitionable.setTransition(e.slice(0,-11),r):this._transitionable.setValue(e,r);}}getSky(){return this._transitionable.serialize()}updateTransitions(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning);}hasTransition(){return this._transitioning.hasTransition()}recalculate(t){this.properties=this._transitioning.possiblyEvaluate(t);}_validate(t,r,n={}){return  false!==(null==n?void 0:n.validate)&&e.t(this,t.call(e.x,e.e({value:r,style:{glyphs:true,sprite:true},styleSpec:e.v})))}calculateFogBlendOpacity(t){return t<60?0:t<70?(t-60)/10:1}}class R{constructor(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={};}getDash(t,e){const r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]}getDashRanges(t,e,r){const n=[];let i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=true;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});let s=t[0];for(let e=1;e<t.length;e++){o=!o;const l=t[e];i=s*r,s+=l,a=s*r,n.push({left:i,right:a,isDash:o,zeroLength:0===l});}return n}addRoundDash(t,e,r){const n=e/2;for(let e=-r;e<=r;e++){const i=this.nextRow+r+e,a=this.width*i;let o=0,s=t[o];for(let i=0;i<this.width;i++){i/s.right>1&&(s=t[++o]);const l=Math.abs(i-s.left),c=Math.abs(i-s.right),u=Math.min(l,c);let h;const f=e/r*(n+1);if(s.isDash){const t=n-Math.abs(f);h=Math.sqrt(u*u+t*t);}else h=n-Math.sqrt(u*u+f*f);this.data[a+i]=Math.max(0,Math.min(255,h+128));}}}addRegularDash(t){for(let e=t.length-1;e>=0;--e){const r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1));}const e=t[0],r=t[t.length-1];e.isDash===r.isDash&&(e.left=r.left-this.width,r.right=e.right+this.width);const n=this.width*this.nextRow;let i=0,a=t[i];for(let e=0;e<this.width;e++){e/a.right>1&&(a=t[++i]);const r=Math.abs(e-a.left),o=Math.abs(e-a.right),s=Math.min(r,o),l=a.isDash?s:-s;this.data[n+e]=Math.max(0,Math.min(255,l+128));}}addDash(t,r){const n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return e.w(\"LineAtlas out of space\"),null;let a=0;for(let e=0;e<t.length;e++)a+=t[e];if(0!==a){const e=this.width/a,i=this.getDashRanges(t,this.width,e);r?this.addRoundDash(i,e,n):this.addRegularDash(i);}const o={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=true,o}bind(t){const e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=false,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data));}}const F=\"maplibre_preloaded_worker_pool\";class B{constructor(){this.active={};}acquire(t){if(!this.workers)for(this.workers=[];this.workers.length<B.workerCount;)this.workers.push(new Worker(e.a.WORKER_URL));return this.active[t]=true,this.workers.slice()}release(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((t=>{t.terminate();})),this.workers=null);}isPreloaded(){return !!this.active[F]}numActive(){return Object.keys(this.active).length}}const N=Math.floor(a.hardwareConcurrency/2);let j,U;function V(){return j||(j=new B),j}B.workerCount=e.C(globalThis)?Math.max(Math.min(N,3),1):1;class q{constructor(t,r){this.workerPool=t,this.actors=[],this.currentActor=0,this.id=r;const n=this.workerPool.acquire(r);for(let t=0;t<n.length;t++){const i=n[t],a=new e.F(i,r);a.name=`Worker ${t}`,this.actors.push(a);}if(!this.actors.length)throw new Error(\"No actors found\")}broadcast(t,e){const r=[];for(const n of this.actors)r.push(n.sendAsync({type:t,data:e}));return Promise.all(r)}getActor(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]}remove(t=true){this.actors.forEach((t=>{t.remove();})),this.actors=[],t&&this.workerPool.release(this.id);}registerMessageHandler(t,e){for(const r of this.actors)r.registerMessageHandler(t,e);}}function H(){return U||(U=new q(V(),e.G),U.registerMessageHandler(\"GR\",((t,r,n)=>e.m(r,n)))),U}function G(t,r){const n=e.H();return e.J(n,n,[1,1,0]),e.K(n,n,[.5*t.width,.5*t.height,1]),e.L(n,n,t.calculatePosMatrix(r.toUnwrapped()))}function Z(t,e,r,n,i,a){const o=function(t,e,r){if(t)for(const n of t){const t=e[n];if(t&&t.source===r&&\"fill-extrusion\"===t.type)return  true}else for(const t in e){const n=e[t];if(n.source===r&&\"fill-extrusion\"===n.type)return  true}return  false}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(W);const c=[];for(const n of l)c.push({wrappedTileID:n.tileID.wrapped().key,queryResults:n.tile.queryRenderedFeatures(e,r,t._state,n.queryGeometry,n.cameraQueryGeometry,n.scale,i,a,s,G(t.transform,n.tileID))});const u=function(t){const e={},r={};for(const n of t){const t=n.queryResults,i=n.wrappedTileID,a=r[i]=r[i]||{};for(const r in t){const n=t[r],i=a[r]=a[r]||{},o=e[r]=e[r]||[];for(const t of n)i[t.featureIndex]||(i[t.featureIndex]=true,o.push(t));}}return e}(c);for(const e in u)u[e].forEach((e=>{const r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n;}));return u}function W(t,e){const r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}function Y(t,r,n){return e._(this,void 0,void 0,(function*(){let i=t;if(t.url?i=(yield e.h(r.transformRequest(t.url,\"Source\"),n)).data:yield a.frameAsync(n),!i)return null;const o=e.M(e.e(i,t),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);return \"vector_layers\"in i&&i.vector_layers&&(o.vectorLayerIds=i.vector_layers.map((t=>t.id))),o}))}class X{constructor(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):Array.isArray(t)&&(4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1])));}setNorthEast(t){return this._ne=t instanceof e.N?new e.N(t.lng,t.lat):e.N.convert(t),this}setSouthWest(t){return this._sw=t instanceof e.N?new e.N(t.lng,t.lat):e.N.convert(t),this}extend(t){const r=this._sw,n=this._ne;let i,a;if(t instanceof e.N)i=t,a=t;else {if(!(t instanceof X)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){const e=t;return this.extend(X.convert(e))}{const r=t;return this.extend(e.N.convert(r))}}return t&&(\"lng\"in t||\"lon\"in t)&&\"lat\"in t?this.extend(e.N.convert(t)):this}if(i=t._sw,a=t._ne,!i||!a)return this}return r||n?(r.lng=Math.min(i.lng,r.lng),r.lat=Math.min(i.lat,r.lat),n.lng=Math.max(a.lng,n.lng),n.lat=Math.max(a.lat,n.lat)):(this._sw=new e.N(i.lng,i.lat),this._ne=new e.N(a.lng,a.lat)),this}getCenter(){return new e.N((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)}getSouthWest(){return this._sw}getNorthEast(){return this._ne}getNorthWest(){return new e.N(this.getWest(),this.getNorth())}getSouthEast(){return new e.N(this.getEast(),this.getSouth())}getWest(){return this._sw.lng}getSouth(){return this._sw.lat}getEast(){return this._ne.lng}getNorth(){return this._ne.lat}toArray(){return [this._sw.toArray(),this._ne.toArray()]}toString(){return `LngLatBounds(${this._sw.toString()}, ${this._ne.toString()})`}isEmpty(){return !(this._sw&&this._ne)}contains(t){const{lng:r,lat:n}=e.N.convert(t),i=this._sw.lat<=n&&n<=this._ne.lat;let a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a}static convert(t){return t instanceof X?t:t?new X(t):t}static fromLngLat(t,r=0){const n=360*r/40075017,i=n/Math.cos(Math.PI/180*t.lat);return new X(new e.N(t.lng-i,t.lat-n),new e.N(t.lng+i,t.lat+n))}}class ${constructor(t,e,r){this.bounds=X.convert(this.validateBounds(t)),this.minzoom=e||0,this.maxzoom=r||24;}validateBounds(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]}contains(t){const r=Math.pow(2,t.z),n=Math.floor(e.O(this.bounds.getWest())*r),i=Math.floor(e.Q(this.bounds.getNorth())*r),a=Math.ceil(e.O(this.bounds.getEast())*r),o=Math.ceil(e.Q(this.bounds.getSouth())*r);return t.x>=n&&t.x<a&&t.y>=i&&t.y<o}}class J extends e.E{constructor(t,r,n,i){if(super(),this.id=t,this.dispatcher=n,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=true,this.isTileClipped=true,this._loaded=false,e.e(this,e.M(r,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=e.e({type:\"vector\"},r),this._collectResourceTiming=r.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(i);}load(){return e._(this,void 0,void 0,(function*(){this._loaded=false,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{const t=yield Y(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,this.map.style.sourceCaches[this.id].clearTiles(),t&&(e.e(this,t),t.bounds&&(this.tileBounds=new $(t.bounds,this.minzoom,this.maxzoom)),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})));}catch(t){this._tileJSONRequest=null,this.fire(new e.j(t));}}))}loaded(){return this._loaded}hasTile(t){return !this.tileBounds||this.tileBounds.contains(t.canonical)}onAdd(t){this.map=t,this.load();}setSourceProperty(t){this._tileJSONRequest&&this._tileJSONRequest.abort(),t(),this.load();}setTiles(t){return this.setSourceProperty((()=>{this._options.tiles=t;})),this}setUrl(t){return this.setSourceProperty((()=>{this.url=t,this._options.url=t;})),this}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null);}serialize(){return e.e({},this._options)}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),r={request:this.map._requestManager.transformRequest(e,\"Tile\"),uid:t.uid,tileID:t.tileID,zoom:t.tileID.overscaledZ,tileSize:this.tileSize*t.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};r.request.collectResourceTiming=this._collectResourceTiming;let n=\"RT\";if(t.actor&&\"expired\"!==t.state){if(\"loading\"===t.state)return new Promise(((e,r)=>{t.reloadPromise={resolve:e,reject:r};}))}else t.actor=this.dispatcher.getActor(),n=\"LT\";t.abortController=new AbortController;try{const e=yield t.actor.sendAsync({type:n,data:r},t.abortController);if(delete t.abortController,t.aborted)return;this._afterTileLoadWorkerResponse(t,e);}catch(e){if(delete t.abortController,t.aborted)return;if(e&&404!==e.status)throw e;this._afterTileLoadWorkerResponse(t,null);}}))}_afterTileLoadWorkerResponse(t,e){if(e&&e.resourceTiming&&(t.resourceTiming=e.resourceTiming),e&&this.map._refreshExpiredTiles&&t.setExpiryData(e),t.loadVectorData(e,this.map.painter),t.reloadPromise){const e=t.reloadPromise;t.reloadPromise=null,this.loadTile(t).then(e.resolve).catch(e.reject);}}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController),t.actor&&(yield t.actor.sendAsync({type:\"AT\",data:{uid:t.uid,type:this.type,source:this.id}}));}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.unloadVectorData(),t.actor&&(yield t.actor.sendAsync({type:\"RMT\",data:{uid:t.uid,type:this.type,source:this.id}}));}))}hasTransition(){return  false}}class K extends e.E{constructor(t,r,n,i){super(),this.id=t,this.dispatcher=n,this.setEventedParent(i),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=true,this.scheme=\"xyz\",this.tileSize=512,this._loaded=false,this._options=e.e({type:\"raster\"},r),e.e(this,e.M(r,[\"url\",\"scheme\",\"tileSize\"]));}load(){return e._(this,void 0,void 0,(function*(){this._loaded=false,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{const t=yield Y(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,t&&(e.e(this,t),t.bounds&&(this.tileBounds=new $(t.bounds,this.minzoom,this.maxzoom)),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})));}catch(t){this._tileJSONRequest=null,this.fire(new e.j(t));}}))}loaded(){return this._loaded}onAdd(t){this.map=t,this.load();}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null);}setSourceProperty(t){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null),t(),this.load();}setTiles(t){return this.setSourceProperty((()=>{this._options.tiles=t;})),this}setUrl(t){return this.setSourceProperty((()=>{this.url=t,this._options.url=t;})),this}serialize(){return e.e({},this._options)}hasTile(t){return !this.tileBounds||this.tileBounds.contains(t.canonical)}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme);t.abortController=new AbortController;try{const r=yield p.getImage(this.map._requestManager.transformRequest(e,\"Tile\"),t.abortController,this.map._refreshExpiredTiles);if(delete t.abortController,t.aborted)return void(t.state=\"unloaded\");if(r&&r.data){this.map._refreshExpiredTiles&&r.cacheControl&&r.expires&&t.setExpiryData({cacheControl:r.cacheControl,expires:r.expires});const e=this.map.painter.context,n=e.gl,i=r.data;t.texture=this.map.painter.getTileTexture(i.width),t.texture?t.texture.update(i,{useMipmap:!0}):(t.texture=new w(e,i,n.RGBA,{useMipmap:!0}),t.texture.bind(n.LINEAR,n.CLAMP_TO_EDGE,n.LINEAR_MIPMAP_NEAREST)),t.state=\"loaded\";}}catch(e){if(delete t.abortController,t.aborted)t.state=\"unloaded\";else if(e)throw t.state=\"errored\",e}}))}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController);}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.texture&&this.map.painter.saveTileTexture(t.texture);}))}hasTransition(){return  false}}class Q extends K{constructor(t,r,n,i){super(t,r,n,i),this.type=\"raster-dem\",this.maxzoom=22,this._options=e.e({type:\"raster-dem\"},r),this.encoding=r.encoding||\"mapbox\",this.redFactor=r.redFactor,this.greenFactor=r.greenFactor,this.blueFactor=r.blueFactor,this.baseShift=r.baseShift;}loadTile(t){return e._(this,void 0,void 0,(function*(){const r=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),n=this.map._requestManager.transformRequest(r,\"Tile\");t.neighboringTiles=this._getNeighboringTiles(t.tileID),t.abortController=new AbortController;try{const r=yield p.getImage(n,t.abortController,this.map._refreshExpiredTiles);if(delete t.abortController,t.aborted)return void(t.state=\"unloaded\");if(r&&r.data){const n=r.data;this.map._refreshExpiredTiles&&r.cacheControl&&r.expires&&t.setExpiryData({cacheControl:r.cacheControl,expires:r.expires});const i=e.b(n)&&e.U()?n:yield this.readImageNow(n),a={type:this.type,uid:t.uid,source:this.id,rawImageData:i,encoding:this.encoding,redFactor:this.redFactor,greenFactor:this.greenFactor,blueFactor:this.blueFactor,baseShift:this.baseShift};if(!t.actor||\"expired\"===t.state){t.actor=this.dispatcher.getActor();const e=yield t.actor.sendAsync({type:\"LDT\",data:a});t.dem=e,t.needsHillshadePrepare=!0,t.needsTerrainPrepare=!0,t.state=\"loaded\";}}}catch(e){if(delete t.abortController,t.aborted)t.state=\"unloaded\";else if(e)throw t.state=\"errored\",e}}))}readImageNow(t){return e._(this,void 0,void 0,(function*(){if(\"undefined\"!=typeof VideoFrame&&e.V()){const r=t.width+2,n=t.height+2;try{return new e.R({width:r,height:n},yield e.W(t,-1,-1,r,n))}catch(t){}}return a.getImageData(t,1)}))}_getNeighboringTiles(t){const r=t.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?t.wrap-1:t.wrap,o=(r.x+1+n)%n,s=r.x+1===n?t.wrap+1:t.wrap,l={};return l[new e.S(t.overscaledZ,a,r.z,i,r.y).key]={backfilled:false},l[new e.S(t.overscaledZ,s,r.z,o,r.y).key]={backfilled:false},r.y>0&&(l[new e.S(t.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:false},l[new e.S(t.overscaledZ,t.wrap,r.z,r.x,r.y-1).key]={backfilled:false},l[new e.S(t.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:false}),r.y+1<n&&(l[new e.S(t.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:false},l[new e.S(t.overscaledZ,t.wrap,r.z,r.x,r.y+1).key]={backfilled:false},l[new e.S(t.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:false}),l}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&(yield t.actor.sendAsync({type:\"RDT\",data:{type:this.type,uid:t.uid,source:this.id}}));}))}}class tt extends e.E{constructor(t,r,n,i){super(),this.id=t,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=true,this.reparseOverscaled=true,this._removed=false,this._pendingLoads=0,this.actor=n.getActor(),this.setEventedParent(i),this._data=r.data,this._options=e.e({},r),this._collectResourceTiming=r.collectResourceTiming,void 0!==r.maxzoom&&(this.maxzoom=r.maxzoom),r.type&&(this.type=r.type),r.attribution&&(this.attribution=r.attribution),this.promoteId=r.promoteId;const a=e.X/this.tileSize;this.workerOptions=e.e({source:this.id,cluster:r.cluster||false,geojsonVtOptions:{buffer:(void 0!==r.buffer?r.buffer:128)*a,tolerance:(void 0!==r.tolerance?r.tolerance:.375)*a,extent:e.X,maxZoom:this.maxzoom,lineMetrics:r.lineMetrics||false,generateId:r.generateId||false},superclusterOptions:{maxZoom:void 0!==r.clusterMaxZoom?r.clusterMaxZoom:this.maxzoom-1,minPoints:Math.max(2,r.clusterMinPoints||2),extent:e.X,radius:(r.clusterRadius||50)*a,log:false,generateId:r.generateId||false},clusterProperties:r.clusterProperties,filter:r.filter},r.workerOptions),\"string\"==typeof this.promoteId&&(this.workerOptions.promoteId=this.promoteId);}load(){return e._(this,void 0,void 0,(function*(){yield this._updateWorkerData();}))}onAdd(t){this.map=t,this.load();}setData(t){return this._data=t,this._updateWorkerData(),this}updateData(t){return this._updateWorkerData(t),this}getData(){return e._(this,void 0,void 0,(function*(){const t=e.e({type:this.type},this.workerOptions);return this.actor.sendAsync({type:\"GD\",data:t})}))}setClusterOptions(t){return this.workerOptions.cluster=t.cluster,t&&(void 0!==t.clusterRadius&&(this.workerOptions.superclusterOptions.radius=t.clusterRadius),void 0!==t.clusterMaxZoom&&(this.workerOptions.superclusterOptions.maxZoom=t.clusterMaxZoom)),this._updateWorkerData(),this}getClusterExpansionZoom(t){return this.actor.sendAsync({type:\"GCEZ\",data:{type:this.type,clusterId:t,source:this.id}})}getClusterChildren(t){return this.actor.sendAsync({type:\"GCC\",data:{type:this.type,clusterId:t,source:this.id}})}getClusterLeaves(t,e,r){return this.actor.sendAsync({type:\"GCL\",data:{type:this.type,source:this.id,clusterId:t,limit:e,offset:r}})}_updateWorkerData(t){return e._(this,void 0,void 0,(function*(){const r=e.e({type:this.type},this.workerOptions);t?r.dataDiff=t:\"string\"==typeof this._data?(r.request=this.map._requestManager.transformRequest(a.resolveURL(this._data),\"Source\"),r.request.collectResourceTiming=this._collectResourceTiming):r.data=JSON.stringify(this._data),this._pendingLoads++,this.fire(new e.k(\"dataloading\",{dataType:\"source\"}));try{const t=yield this.actor.sendAsync({type:\"LD\",data:r});if(this._pendingLoads--,this._removed||t.abandoned)return void this.fire(new e.k(\"dataabort\",{dataType:\"source\"}));let n=null;t.resourceTiming&&t.resourceTiming[this.id]&&(n=t.resourceTiming[this.id].slice(0));const i={dataType:\"source\"};this._collectResourceTiming&&n&&n.length>0&&e.e(i,{resourceTiming:n}),this.fire(new e.k(\"data\",Object.assign(Object.assign({},i),{sourceDataType:\"metadata\"}))),this.fire(new e.k(\"data\",Object.assign(Object.assign({},i),{sourceDataType:\"content\"})));}catch(t){if(this._pendingLoads--,this._removed)return void this.fire(new e.k(\"dataabort\",{dataType:\"source\"}));this.fire(new e.j(t));}}))}loaded(){return 0===this._pendingLoads}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.actor?\"RT\":\"LT\";t.actor=this.actor;const r={type:this.type,uid:t.uid,tileID:t.tileID,zoom:t.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};t.abortController=new AbortController;const n=yield this.actor.sendAsync({type:e,data:r},t.abortController);delete t.abortController,t.unloadVectorData(),t.aborted||t.loadVectorData(n,this.map.painter,\"RT\"===e);}))}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController),t.aborted=true;}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.unloadVectorData(),yield this.actor.sendAsync({type:\"RMT\",data:{uid:t.uid,type:this.type,source:this.id}});}))}onRemove(){this._removed=true,this.actor.sendAsync({type:\"RS\",data:{type:this.type,source:this.id}});}serialize(){return e.e({},this._options,{type:this.type,data:this._data})}hasTransition(){return  false}}var et=e.Y([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]);class rt extends e.E{constructor(t,e,r,n){super(),this.id=t,this.dispatcher=r,this.coordinates=e.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=false,this.setEventedParent(n),this.options=e;}load(t){return e._(this,void 0,void 0,(function*(){this._loaded=false,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,this._request=new AbortController;try{const e=yield p.getImage(this.map._requestManager.transformRequest(this.url,\"Image\"),this._request);this._request=null,this._loaded=!0,e&&e.data&&(this.image=e.data,t&&(this.coordinates=t),this._finishLoading());}catch(t){this._request=null,this._loaded=true,this.fire(new e.j(t));}}))}loaded(){return this._loaded}updateImage(t){return t.url?(this._request&&(this._request.abort(),this._request=null),this.options.url=t.url,this.load(t.coordinates).finally((()=>{this.texture=null;})),this):this}_finishLoading(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})));}onAdd(t){this.map=t,this.load();}onRemove(){this._request&&(this._request.abort(),this._request=null);}setCoordinates(t){this.coordinates=t;const r=t.map(e.Z.fromLngLat);this.tileID=function(t){let r=1/0,n=1/0,i=-1/0,a=-1/0;for(const e of t)r=Math.min(r,e.x),n=Math.min(n,e.y),i=Math.max(i,e.x),a=Math.max(a,e.y);const o=i-r,s=a-n,l=Math.max(o,s),c=Math.max(0,Math.floor(-Math.log(l)/Math.LN2)),u=Math.pow(2,c);return new e.a1(c,Math.floor((r+i)/2*u),Math.floor((n+a)/2*u))}(r),this.minzoom=this.maxzoom=this.tileID.z;const n=r.map((t=>this.tileID.getTilePoint(t)._round()));return this._boundsArray=new e.$,this._boundsArray.emplaceBack(n[0].x,n[0].y,0,0),this._boundsArray.emplaceBack(n[1].x,n[1].y,e.X,0),this._boundsArray.emplaceBack(n[3].x,n[3].y,0,e.X),this._boundsArray.emplaceBack(n[2].x,n[2].y,e.X,e.X),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this}prepare(){if(0===Object.keys(this.tiles).length||!this.image)return;const t=this.map.painter.context,r=t.gl;this.boundsBuffer||(this.boundsBuffer=t.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture||(this.texture=new w(t,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE));let n=false;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,n=true);}n&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}));}loadTile(t){return e._(this,void 0,void 0,(function*(){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={}):t.state=\"errored\";}))}serialize(){return {type:\"image\",url:this.options.url,coordinates:this.coordinates}}hasTransition(){return  false}}class nt extends rt{constructor(t,e,r,n){super(t,e,r,n),this.roundZoom=true,this.type=\"video\",this.options=e;}load(){return e._(this,void 0,void 0,(function*(){this._loaded=false;const t=this.options;this.urls=[];for(const e of t.urls)this.urls.push(this.map._requestManager.transformRequest(e,\"Source\").url);try{const t=yield e.a3(this.urls);if(this._loaded=!0,!t)return;this.video=t,this.video.loop=!0,this.video.addEventListener(\"playing\",(()=>{this.map.triggerRepaint();})),this.map&&this.video.play(),this._finishLoading();}catch(t){this.fire(new e.j(t));}}))}pause(){this.video&&this.video.pause();}play(){this.video&&this.video.play();}seek(t){if(this.video){const r=this.video.seekable;t<r.start(0)||t>r.end(0)?this.fire(new e.j(new e.a2(`sources.${this.id}`,null,`Playback for this video can be set only between the ${r.start(0)} and ${r.end(0)}-second mark.`))):this.video.currentTime=t;}}getVideo(){return this.video}onAdd(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)));}prepare(){if(0===Object.keys(this.tiles).length||this.video.readyState<2)return;const t=this.map.painter.context,r=t.gl;this.boundsBuffer||(this.boundsBuffer=t.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new w(t,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE));let n=false;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,n=true);}n&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}));}serialize(){return {type:\"video\",urls:this.urls,coordinates:this.coordinates}}hasTransition(){return this.video&&!this.video.paused}}class it extends rt{constructor(t,r,n,i){super(t,r,n,i),r.coordinates?Array.isArray(r.coordinates)&&4===r.coordinates.length&&!r.coordinates.some((t=>!Array.isArray(t)||2!==t.length||t.some((t=>\"number\"!=typeof t))))||this.fire(new e.j(new e.a2(`sources.${t}`,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new e.j(new e.a2(`sources.${t}`,null,'missing required property \"coordinates\"'))),r.animate&&\"boolean\"!=typeof r.animate&&this.fire(new e.j(new e.a2(`sources.${t}`,null,'optional \"animate\" property must be a boolean value'))),r.canvas?\"string\"==typeof r.canvas||r.canvas instanceof HTMLCanvasElement||this.fire(new e.j(new e.a2(`sources.${t}`,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new e.j(new e.a2(`sources.${t}`,null,'missing required property \"canvas\"'))),this.options=r,this.animate=void 0===r.animate||r.animate;}load(){return e._(this,void 0,void 0,(function*(){this._loaded=true,this.canvas||(this.canvas=this.options.canvas instanceof HTMLCanvasElement?this.options.canvas:document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new e.j(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=true,this.map.triggerRepaint();},this.pause=function(){this._playing&&(this.prepare(),this._playing=false);},this._finishLoading());}))}getCanvas(){return this.canvas}onAdd(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play();}onRemove(){this.pause();}prepare(){let t=false;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,t=true),this.canvas.height!==this.height&&(this.height=this.canvas.height,t=true),this._hasInvalidDimensions())return;if(0===Object.keys(this.tiles).length)return;const r=this.map.painter.context,n=r.gl;this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture?(t||this._playing)&&this.texture.update(this.canvas,{premultiply:true}):this.texture=new w(r,this.canvas,n.RGBA,{premultiply:true});let i=false;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,i=true);}i&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}));}serialize(){return {type:\"canvas\",coordinates:this.coordinates}}hasTransition(){return this._playing}_hasInvalidDimensions(){for(const t of [this.canvas.width,this.canvas.height])if(isNaN(t)||t<=0)return  true;return  false}}const at={},ot=t=>{switch(t){case \"geojson\":return tt;case \"image\":return rt;case \"raster\":return K;case \"raster-dem\":return Q;case \"vector\":return J;case \"video\":return nt;case \"canvas\":return it}return at[t]};const st=\"RTLPluginLoaded\";class lt extends e.E{constructor(){super(...arguments),this.status=\"unavailable\",this.url=null,this.dispatcher=H();}_syncState(t){return this.status=t,this.dispatcher.broadcast(\"SRPS\",{pluginStatus:t,pluginURL:this.url}).catch((t=>{throw this.status=\"error\",t}))}getRTLTextPluginStatus(){return this.status}clearRTLTextPlugin(){this.status=\"unavailable\",this.url=null;}setRTLTextPlugin(t){return e._(this,arguments,void 0,(function*(t,e=false){if(this.url)throw new Error(\"setRTLTextPlugin cannot be called multiple times.\");if(this.url=a.resolveURL(t),!this.url)throw new Error(`requested url ${t} is invalid`);if(\"unavailable\"===this.status){if(!e)return this._requestImport();this.status=\"deferred\",this._syncState(this.status);}else if(\"requested\"===this.status)return this._requestImport()}))}_requestImport(){return e._(this,void 0,void 0,(function*(){yield this._syncState(\"loading\"),this.status=\"loaded\",this.fire(new e.k(st));}))}lazyLoad(){\"unavailable\"===this.status?this.status=\"requested\":\"deferred\"===this.status&&this._requestImport();}}let ct=null;function ut(){return ct||(ct=new lt),ct}class ht{constructor(t,r){this.timeAdded=0,this.fadeEndTime=0,this.tileID=t,this.uid=e.a4(),this.uses=0,this.tileSize=r,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=false,this.hasRTLText=false,this.dependencies={},this.rtt=[],this.rttCoords={},this.expiredRequestCount=0,this.state=\"loading\";}registerFadeDuration(t){const e=t+this.timeAdded;e<this.fadeEndTime||(this.fadeEndTime=e);}wasRequested(){return \"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state}clearTextures(t){this.demTexture&&t.saveTileTexture(this.demTexture),this.demTexture=null;}loadVectorData(t,r,n){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){const r={};if(!e)return r;for(const n of t){const t=n.layerIds.map((t=>e.getLayer(t))).filter(Boolean);if(0!==t.length){n.layers=t,n.stateDependentLayerIds&&(n.stateDependentLayers=n.stateDependentLayerIds.map((e=>t.filter((t=>t.id===e))[0])));for(const e of t)r[e.id]=n;}}return r}(t.buckets,r.style),this.hasSymbolBuckets=false;for(const t in this.buckets){const r=this.buckets[t];if(r instanceof e.a6){if(this.hasSymbolBuckets=true,!n)break;r.justReloaded=true;}}if(this.hasRTLText=false,this.hasSymbolBuckets)for(const t in this.buckets){const r=this.buckets[t];if(r instanceof e.a6&&r.hasRTLText){this.hasRTLText=true,ut().lazyLoad();break}}this.queryPadding=0;for(const t in this.buckets){const e=this.buckets[t];this.queryPadding=Math.max(this.queryPadding,r.style.getLayer(t).queryRadius(e));}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage);}else this.collisionBoxArray=new e.a5;}unloadVectorData(){for(const t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\";}getBucket(t){return this.buckets[t.id]}upload(t){for(const e in this.buckets){const r=this.buckets[e];r.uploadPending()&&r.upload(t);}const e=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new w(t,this.imageAtlas.image,e.RGBA),this.imageAtlas.uploaded=true),this.glyphAtlasImage&&(this.glyphAtlasTexture=new w(t,this.glyphAtlasImage,e.ALPHA),this.glyphAtlasImage=null);}prepare(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture);}queryRenderedFeatures(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}}querySourceFeatures(t,r){const n=this.latestFeatureIndex;if(!n||!n.rawTileData)return;const i=n.loadVTLayers(),a=r&&r.sourceLayer?r.sourceLayer:\"\",o=i._geojsonTileLayer||i[a];if(!o)return;const s=e.a7(r&&r.filter),{z:l,x:c,y:u}=this.tileID.canonical,h={z:l,x:c,y:u};for(let r=0;r<o.length;r++){const i=o.feature(r);if(s.needGeometry){const t=e.a8(i,true);if(!s.filter(new e.a9(this.tileID.overscaledZ),t,this.tileID.canonical))continue}else if(!s.filter(new e.a9(this.tileID.overscaledZ),i))continue;const f=n.getId(i,a),p=new e.aa(i,l,c,u,f);p.tile=h,t.push(p);}}hasData(){return \"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state}patternsLoaded(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length}setExpiryData(t){const r=this.expirationTime;if(t.cacheControl){const r=e.ab(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"]);}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){const t=Date.now();let e=false;if(this.expirationTime>t)e=false;else if(r)if(this.expirationTime<r)e=true;else {const n=this.expirationTime-r;n?this.expirationTime=t+Math.max(n,3e4):e=true;}else e=true;e?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0;}}getExpiryTimeout(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)}setFeatureState(t,e){if(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||0===Object.keys(t).length)return;const r=this.latestFeatureIndex.loadVTLayers();for(const n in this.buckets){if(!e.style.hasLayer(n))continue;const i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(!o||!s||0===Object.keys(s).length)continue;i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});const l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)));}}holdingForFade(){return void 0!==this.symbolFadeHoldUntil}symbolFadeFinished(){return !this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<a.now()}clearFadeHold(){this.symbolFadeHoldUntil=void 0;}setHoldDuration(t){this.symbolFadeHoldUntil=a.now()+t;}setDependencies(t,e){const r={};for(const t of e)r[t]=true;this.dependencies[t]=r;}hasDependency(t,e){for(const r of t){const t=this.dependencies[r];if(t)for(const r of e)if(t[r])return  true}return  false}}class ft{constructor(t,e){this.max=t,this.onRemove=e,this.reset();}reset(){for(const t in this.data)for(const e of this.data[t])e.timeout&&clearTimeout(e.timeout),this.onRemove(e.value);return this.data={},this.order=[],this}add(t,e,r){const n=t.wrapped().key;void 0===this.data[n]&&(this.data[n]=[]);const i={value:e,timeout:void 0};if(void 0!==r&&(i.timeout=setTimeout((()=>{this.remove(t,i);}),r)),this.data[n].push(i),this.order.push(n),this.order.length>this.max){const t=this._getAndRemoveByKey(this.order[0]);t&&this.onRemove(t);}return this}has(t){return t.wrapped().key in this.data}getAndRemove(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null}_getAndRemoveByKey(t){const e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value}getByKey(t){const e=this.data[t];return e?e[0].value:null}get(t){return this.has(t)?this.data[t.wrapped().key][0].value:null}remove(t,e){if(!this.has(t))return this;const r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this}setMaxSize(t){for(this.max=t;this.order.length>this.max;){const t=this._getAndRemoveByKey(this.order[0]);t&&this.onRemove(t);}return this}filter(t){const e=[];for(const r in this.data)for(const n of this.data[r])t(n.value)||e.push(n);for(const t of e)this.remove(t.value.tileID,t);}}class pt{constructor(){this.state={},this.stateChanges={},this.deletedStates={};}updateState(t,r,n){const i=String(r);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][i]=this.stateChanges[t][i]||{},e.e(this.stateChanges[t][i],n),null===this.deletedStates[t]){this.deletedStates[t]={};for(const e in this.state[t])e!==i&&(this.deletedStates[t][e]=null);}else if(this.deletedStates[t]&&null===this.deletedStates[t][i]){this.deletedStates[t][i]={};for(const e in this.state[t][i])n[e]||(this.deletedStates[t][i][e]=null);}else for(const e in n)this.deletedStates[t]&&this.deletedStates[t][i]&&null===this.deletedStates[t][i][e]&&delete this.deletedStates[t][i][e];}removeFeatureState(t,e,r){if(null===this.deletedStates[t])return;const n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null;}getState(t,r){const n=String(r),i=this.state[t]||{},a=this.stateChanges[t]||{},o=e.e({},i[n],a[n]);if(null===this.deletedStates[t])return {};if(this.deletedStates[t]){const e=this.deletedStates[t][r];if(null===e)return {};for(const t in e)delete o[t];}return o}initializeTileState(t,e){t.setFeatureState(this.state,e);}coalesceChanges(t,r){const n={};for(const t in this.stateChanges){this.state[t]=this.state[t]||{};const r={};for(const n in this.stateChanges[t])this.state[t][n]||(this.state[t][n]={}),e.e(this.state[t][n],this.stateChanges[t][n]),r[n]=this.state[t][n];n[t]=r;}for(const t in this.deletedStates){this.state[t]=this.state[t]||{};const r={};if(null===this.deletedStates[t])for(const e in this.state[t])r[e]={},this.state[t][e]={};else for(const e in this.deletedStates[t]){if(null===this.deletedStates[t][e])this.state[t][e]={};else for(const r of Object.keys(this.deletedStates[t][e]))delete this.state[t][e][r];r[e]=this.state[t][e];}n[t]=n[t]||{},e.e(n[t],r);}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(n).length)for(const e in t)t[e].setFeatureState(n,r);}}class dt extends e.E{constructor(t,e,r){super(),this.id=t,this.dispatcher=r,this.on(\"data\",(t=>this._dataHandler(t))),this.on(\"dataloading\",(()=>{this._sourceErrored=false;})),this.on(\"error\",(()=>{this._sourceErrored=this._source.loaded();})),this._source=((t,e,r,n)=>{const i=new(ot(e.type))(t,e,r,n);if(i.id!==t)throw new Error(`Expected Source id to be ${t} instead of ${i.id}`);return i})(t,e,r,this),this._tiles={},this._cache=new ft(0,(t=>this._unloadTile(t))),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._maxTileCacheZoomLevels=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new pt,this._didEmitContent=false,this._updated=false;}onAdd(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._maxTileCacheZoomLevels=t?t._maxTileCacheZoomLevels:null,this._source&&this._source.onAdd&&this._source.onAdd(t);}onRemove(t){this.clearTiles(),this._source&&this._source.onRemove&&this._source.onRemove(t);}loaded(){if(this._sourceErrored)return  true;if(!this._sourceLoaded)return  false;if(!this._source.loaded())return  false;if(!(void 0===this.used&&void 0===this.usedForTerrain||this.used||this.usedForTerrain))return  true;if(!this._updated)return  false;for(const t in this._tiles){const e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return  false}return  true}getSource(){return this._source}pause(){this._paused=true;}resume(){if(!this._paused)return;const t=this._shouldReloadOnResume;this._paused=false,this._shouldReloadOnResume=false,t&&this.reload(),this.transform&&this.update(this.transform,this.terrain);}_loadTile(t,r,n){return e._(this,void 0,void 0,(function*(){try{yield this._source.loadTile(t),this._tileLoaded(t,r,n);}catch(r){t.state=\"errored\",404!==r.status?this._source.fire(new e.j(r,{tile:t})):this.update(this.transform,this.terrain);}}))}_unloadTile(t){this._source.unloadTile&&this._source.unloadTile(t);}_abortTile(t){this._source.abortTile&&this._source.abortTile(t),this._source.fire(new e.k(\"dataabort\",{tile:t,coord:t.tileID,dataType:\"source\"}));}serialize(){return this._source.serialize()}prepare(t){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(const e in this._tiles){const r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager);}}getIds(){return Object.values(this._tiles).map((t=>t.tileID)).sort(mt).map((t=>t.key))}getRenderableIds(t){const r=[];for(const e in this._tiles)this._isIdRenderable(e,t)&&r.push(this._tiles[e]);return t?r.sort(((t,r)=>{const n=t.tileID,i=r.tileID,a=new e.P(n.canonical.x,n.canonical.y)._rotate(this.transform.angle),o=new e.P(i.canonical.x,i.canonical.y)._rotate(this.transform.angle);return n.overscaledZ-i.overscaledZ||o.y-a.y||o.x-a.x})).map((t=>t.tileID.key)):r.map((t=>t.tileID)).sort(mt).map((t=>t.key))}hasRenderableParent(t){const e=this.findLoadedParent(t,0);return !!e&&this._isIdRenderable(e.tileID.key)}_isIdRenderable(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())}reload(){if(this._paused)this._shouldReloadOnResume=true;else {this._cache.reset();for(const t in this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\");}}_reloadTile(t,r){return e._(this,void 0,void 0,(function*(){const e=this._tiles[t];e&&(\"loading\"!==e.state&&(e.state=r),yield this._loadTile(e,t,r));}))}_tileLoaded(t,r,n){t.timeAdded=a.now(),\"expired\"===n&&(t.refreshedUponExpiration=true),this._setTileReloadTimer(r,t),\"raster-dem\"===this.getSource().type&&t.dem&&this._backfillDEM(t),this._state.initializeTileState(t,this.map?this.map.painter:null),t.aborted||this._source.fire(new e.k(\"data\",{dataType:\"source\",tile:t,coord:t.tileID}));}_backfillDEM(t){const e=this.getRenderableIds();for(let n=0;n<e.length;n++){const i=e[n];if(t.neighboringTiles&&t.neighboringTiles[i]){const e=this.getTileByID(i);r(t,e),r(e,t);}}function r(t,e){t.needsHillshadePrepare=true,t.needsTerrainPrepare=true;let r=e.tileID.canonical.x-t.tileID.canonical.x;const n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=true)));}}getTile(t){return this.getTileByID(t.key)}getTileByID(t){return this._tiles[t]}_retainLoadedChildren(t,e,r,n){for(const i in this._tiles){let a=this._tiles[i];if(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)continue;let o=a.tileID;for(;a&&a.tileID.overscaledZ>e+1;){const t=a.tileID.scaledTo(a.tileID.overscaledZ-1);a=this._tiles[t.key],a&&a.hasData()&&(o=t);}let s=o;for(;s.overscaledZ>e;)if(s=s.scaledTo(s.overscaledZ-1),t[s.key]){n[o.key]=o;break}}}findLoadedParent(t,e){if(t.key in this._loadedParentTiles){const r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(let r=t.overscaledZ-1;r>=e;r--){const e=t.scaledTo(r),n=this._getLoadedTile(e);if(n)return n}}findLoadedSibling(t){return this._getLoadedTile(t)}_getLoadedTile(t){const e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)}updateCacheSize(t){const r=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),n=null===this._maxTileCacheZoomLevels?e.a.MAX_TILE_CACHE_ZOOM_LEVELS:this._maxTileCacheZoomLevels,i=Math.floor(r*n),a=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,i):i;this._cache.setMaxSize(a);}handleWrapJump(t){const e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){const t={};for(const e in this._tiles){const n=this._tiles[e];n.tileID=n.tileID.unwrapTo(n.tileID.wrap+r),t[n.tileID.key]=n;}this._tiles=t;for(const t in this._timers)clearTimeout(this._timers[t]),delete this._timers[t];for(const t in this._tiles){const e=this._tiles[t];this._setTileReloadTimer(t,e);}}}_updateCoveredAndRetainedTiles(t,e,r,n,i,o){const s={},l={},c=Object.keys(t),u=a.now();for(const r of c){const n=t[r],i=this._tiles[r];if(!i||0!==i.fadeEndTime&&i.fadeEndTime<=u)continue;const a=this.findLoadedParent(n,e),o=this.findLoadedSibling(n),c=a||o||null;c&&(this._addTile(c.tileID),s[c.tileID.key]=c.tileID),l[r]=n;}this._retainLoadedChildren(l,n,r,t);for(const e in s)t[e]||(this._coveredTiles[e]=true,t[e]=s[e]);if(o){const e={},r={};for(const t of i)this._tiles[t.key].hasData()?e[t.key]=t:r[t.key]=t;for(const n in r){const i=r[n].children(this._source.maxzoom);this._tiles[i[0].key]&&this._tiles[i[1].key]&&this._tiles[i[2].key]&&this._tiles[i[3].key]&&(e[i[0].key]=t[i[0].key]=i[0],e[i[1].key]=t[i[1].key]=i[1],e[i[2].key]=t[i[2].key]=i[2],e[i[3].key]=t[i[3].key]=i[3],delete r[n]);}for(const n in r){const i=r[n],a=this.findLoadedParent(i,this._source.minzoom),o=this.findLoadedSibling(i),s=a||o||null;if(s){e[s.tileID.key]=t[s.tileID.key]=s.tileID;for(const t in e)e[t].isChildOf(s.tileID)&&delete e[t];}}for(const t in this._tiles)e[t]||(this._coveredTiles[t]=true);}}update(t,r){if(!this._sourceLoaded||this._paused)return;let n;this.transform=t,this.terrain=r,this.updateCacheSize(t),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used||this.usedForTerrain?this._source.tileID?n=t.getVisibleUnwrappedCoordinates(this._source.tileID).map((t=>new e.S(t.canonical.z,t.wrap,t.canonical.z,t.canonical.x,t.canonical.y))):(n=t.coveringTiles({tileSize:this.usedForTerrain?this.tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:!this.usedForTerrain&&this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled,terrain:r}),this._source.hasTile&&(n=n.filter((t=>this._source.hasTile(t))))):n=[];const i=t.coveringZoomLevel(this._source),a=Math.max(i-dt.maxOverzooming,this._source.minzoom),o=Math.max(i+dt.maxUnderzooming,this._source.minzoom);if(this.usedForTerrain){const t={};for(const e of n)if(e.canonical.z>this._source.minzoom){const r=e.scaledTo(e.canonical.z-1);t[r.key]=r;const n=e.scaledTo(Math.max(this._source.minzoom,Math.min(e.canonical.z,5)));t[n.key]=n;}n=n.concat(Object.values(t));}const s=0===n.length&&!this._updated&&this._didEmitContent;this._updated=true,s&&this.fire(new e.k(\"data\",{sourceDataType:\"idle\",dataType:\"source\",sourceId:this.id}));const l=this._updateRetainedTiles(n,i);gt(this._source.type)&&this._updateCoveredAndRetainedTiles(l,a,o,i,n,r);for(const t in l)this._tiles[t].clearFadeHold();const c=e.ac(this._tiles,l);for(const t of c){const e=this._tiles[t];e.hasSymbolBuckets&&!e.holdingForFade()?e.setHoldDuration(this.map._fadeDuration):e.hasSymbolBuckets&&!e.symbolFadeFinished()||this._removeTile(t);}this._updateLoadedParentTileCache(),this._updateLoadedSiblingTileCache();}releaseSymbolFadeTiles(){for(const t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t);}_updateRetainedTiles(t,e){var r;const n={},i={},a=Math.max(e-dt.maxOverzooming,this._source.minzoom),o=Math.max(e+dt.maxUnderzooming,this._source.minzoom),s={};for(const r of t){const t=this._addTile(r);n[r.key]=r,t.hasData()||e<this._source.maxzoom&&(s[r.key]=r);}this._retainLoadedChildren(s,e,o,n);for(const o of t){let t=this._tiles[o.key];if(t.hasData())continue;if(e+1>this._source.maxzoom){const t=o.children(this._source.maxzoom)[0],e=this.getTile(t);if(e&&e.hasData()){n[t.key]=t;continue}}else {const t=o.children(this._source.maxzoom);if(n[t[0].key]&&n[t[1].key]&&n[t[2].key]&&n[t[3].key])continue}let s=t.wasRequested();for(let e=o.overscaledZ-1;e>=a;--e){const a=o.scaledTo(e);if(i[a.key])break;if(i[a.key]=true,t=this.getTile(a),!t&&s&&(t=this._addTile(a)),t){const e=t.hasData();if((e||!(null===(r=this.map)||void 0===r?void 0:r.cancelPendingTileRequestsWhileZooming)||s)&&(n[a.key]=a),s=t.wasRequested(),e)break}}}return n}_updateLoadedParentTileCache(){this._loadedParentTiles={};for(const t in this._tiles){const e=[];let r,n=this._tiles[t].tileID;for(;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);const t=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(t),r)break;n=t;}for(const t of e)this._loadedParentTiles[t]=r;}}_updateLoadedSiblingTileCache(){this._loadedSiblingTiles={};for(const t in this._tiles){const e=this._tiles[t].tileID,r=this._getLoadedTile(e);this._loadedSiblingTiles[e.key]=r;}}_addTile(t){let r=this._tiles[t.key];if(r)return r;r=this._cache.getAndRemove(t),r&&(this._setTileReloadTimer(t.key,r),r.tileID=t,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[t.key]&&(clearTimeout(this._cacheTimers[t.key]),delete this._cacheTimers[t.key],this._setTileReloadTimer(t.key,r)));const n=r;return r||(r=new ht(t,this._source.tileSize*t.overscaleFactor()),this._loadTile(r,t.key,r.state)),r.uses++,this._tiles[t.key]=r,n||this._source.fire(new e.k(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r}_setTileReloadTimer(t,e){t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);const r=e.getExpiryTimeout();r&&(this._timers[t]=setTimeout((()=>{this._reloadTile(t,\"expired\"),delete this._timers[t];}),r));}_removeTile(t){const e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=true,this._abortTile(e),this._unloadTile(e))));}_dataHandler(t){const e=t.sourceDataType;\"source\"===t.dataType&&\"metadata\"===e&&(this._sourceLoaded=true),this._sourceLoaded&&!this._paused&&\"source\"===t.dataType&&\"content\"===e&&(this.reload(),this.transform&&this.update(this.transform,this.terrain),this._didEmitContent=true);}clearTiles(){this._shouldReloadOnResume=false,this._paused=false;for(const t in this._tiles)this._removeTile(t);this._cache.reset();}tilesIn(t,r,n){const i=[],a=this.transform;if(!a)return i;const o=n?a.getCameraQueryGeometry(t):t,s=t.map((t=>a.pointCoordinate(t,this.terrain))),l=o.map((t=>a.pointCoordinate(t,this.terrain))),c=this.getIds();let u=1/0,h=1/0,f=-1/0,p=-1/0;for(const t of l)u=Math.min(u,t.x),h=Math.min(h,t.y),f=Math.max(f,t.x),p=Math.max(p,t.y);for(let t=0;t<c.length;t++){const n=this._tiles[c[t]];if(n.holdingForFade())continue;const o=n.tileID,d=Math.pow(2,a.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*e.X/n.tileSize/d,g=[o.getTilePoint(new e.Z(u,h)),o.getTilePoint(new e.Z(f,p))];if(g[0].x-m<e.X&&g[0].y-m<e.X&&g[1].x+m>=0&&g[1].y+m>=0){const t=s.map((t=>o.getTilePoint(t))),e=l.map((t=>o.getTilePoint(t)));i.push({tile:n,tileID:o,queryGeometry:t,cameraQueryGeometry:e,scale:d});}}return i}getVisibleCoordinates(t){const e=this.getRenderableIds(t).map((t=>this._tiles[t].tileID));for(const t of e)t.posMatrix=this.transform.calculatePosMatrix(t.toUnwrapped());return e}hasTransition(){if(this._source.hasTransition())return  true;if(gt(this._source.type)){const t=a.now();for(const e in this._tiles)if(this._tiles[e].fadeEndTime>=t)return  true}return  false}setFeatureState(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r);}removeFeatureState(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r);}getFeatureState(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)}setDependencies(t,e,r){const n=this._tiles[t];n&&n.setDependencies(e,r);}reloadTilesForDependencies(t,e){for(const r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((r=>!r.hasDependency(t,e)));}}function mt(t,e){const r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function gt(t){return \"raster\"===t||\"image\"===t||\"video\"===t}dt.maxOverzooming=10,dt.maxUnderzooming=3;class yt{constructor(t,e){this.reset(t,e);}reset(t,e){this.points=t||[],this._distances=[0];for(let t=1;t<this.points.length;t++)this._distances[t]=this._distances[t-1]+this.points[t].dist(this.points[t-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding;}lerp(t){if(1===this.points.length)return this.points[0];t=e.ad(t,0,1);let r=1,n=this._distances[r];const i=t*this.paddedLength+this.padding;for(;n<i&&r<this._distances.length;)n=this._distances[++r];const a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))}}function vt(t,e){let r=true;return \"always\"===t||\"never\"!==t&&\"never\"!==e||(r=false),r}class xt{constructor(t,e,r){const n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(let t=0;t<this.xCellCount*this.yCellCount;t++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0;}keysLength(){return this.boxKeys.length+this.circleKeys.length}insert(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i);}insertCircle(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n);}_insertBoxCell(t,e,r,n,i,a){this.boxCells[i].push(a);}_insertCircleCell(t,e,r,n,i,a){this.circleCells[i].push(a);}_query(t,e,r,n,i,a,o){if(r<0||t>this.width||n<0||e>this.height)return [];const s=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return [{key:null,x1:t,y1:e,x2:r,y2:n}];for(let t=0;t<this.boxKeys.length;t++)s.push({key:this.boxKeys[t],x1:this.bboxes[4*t],y1:this.bboxes[4*t+1],x2:this.bboxes[4*t+2],y2:this.bboxes[4*t+3]});for(let t=0;t<this.circleKeys.length;t++){const e=this.circles[3*t],r=this.circles[3*t+1],n=this.circles[3*t+2];s.push({key:this.circleKeys[t],x1:e-n,y1:r-n,x2:e+n,y2:r+n});}}else {const l={hitTest:i,overlapMode:a,seenUids:{box:{},circle:{}}};this._forEachCell(t,e,r,n,this._queryCell,s,l,o);}return s}query(t,e,r,n){return this._query(t,e,r,n,false,null)}hitTest(t,e,r,n,i,a){return this._query(t,e,r,n,true,i,a).length>0}hitTestCircle(t,e,r,n,i){const a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return  false;const c=[],u={hitTest:true,overlapMode:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),c.length>0}_queryCell(t,e,r,n,i,a,o,s){const{seenUids:l,hitTest:c,overlapMode:u}=o,h=this.boxCells[i];if(null!==h){const i=this.bboxes;for(const o of h)if(!l.box[o]){l.box[o]=true;const h=4*o,f=this.boxKeys[o];if(t<=i[h+2]&&e<=i[h+3]&&r>=i[h+0]&&n>=i[h+1]&&(!s||s(f))&&(!c||!vt(u,f.overlapMode))&&(a.push({key:f,x1:i[h],y1:i[h+1],x2:i[h+2],y2:i[h+3]}),c))return  true}}const f=this.circleCells[i];if(null!==f){const i=this.circles;for(const o of f)if(!l.circle[o]){l.circle[o]=true;const h=3*o,f=this.circleKeys[o];if(this._circleAndRectCollide(i[h],i[h+1],i[h+2],t,e,r,n)&&(!s||s(f))&&(!c||!vt(u,f.overlapMode))){const t=i[h],e=i[h+1],r=i[h+2];if(a.push({key:f,x1:t-r,y1:e-r,x2:t+r,y2:e+r}),c)return  true}}}return  false}_queryCellCircle(t,e,r,n,i,a,o,s){const{circle:l,seenUids:c,overlapMode:u}=o,h=this.boxCells[i];if(null!==h){const t=this.bboxes;for(const e of h)if(!c.box[e]){c.box[e]=true;const r=4*e,n=this.boxKeys[e];if(this._circleAndRectCollide(l.x,l.y,l.radius,t[r+0],t[r+1],t[r+2],t[r+3])&&(!s||s(n))&&!vt(u,n.overlapMode))return a.push(true),true}}const f=this.circleCells[i];if(null!==f){const t=this.circles;for(const e of f)if(!c.circle[e]){c.circle[e]=true;const r=3*e,n=this.circleKeys[e];if(this._circlesCollide(t[r],t[r+1],t[r+2],l.x,l.y,l.radius)&&(!s||s(n))&&!vt(u,n.overlapMode))return a.push(true),true}}}_forEachCell(t,e,r,n,i,a,o,s){const l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n);for(let f=l;f<=u;f++)for(let l=c;l<=h;l++){const c=this.xCellCount*l+f;if(i.call(this,t,e,r,n,c,a,o,s))return}}_convertToXCellCoord(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))}_convertToYCellCoord(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))}_circlesCollide(t,e,r,n,i,a){const o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s}_circleAndRectCollide(t,e,r,n,i,a,o){const s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return  false;const c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return  false;if(l<=s||u<=c)return  true;const h=l-s,f=u-c;return h*h+f*f<=r*r}}function _t(t,r,n,i,a){const o=e.H();return r?(e.K(o,o,[1/a,1/a,1]),n||e.ae(o,o,i.angle)):e.L(o,i.labelPlaneMatrix,t),o}function bt(t,r,n,i,a){if(r){const r=e.af(t);return e.K(r,r,[a,a,1]),n||e.ae(r,r,-i.angle),r}return i.glCoordMatrix}function wt(t,r,n){let i;n?(i=[t.x,t.y,n(t.x,t.y),1],e.ag(i,i,r)):(i=[t.x,t.y,0,1],function(t,e,r){const n=e[0],i=e[1];t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15];}(i,i,r));const a=i[3];return {point:new e.P(i[0]/a,i[1]/a),signedDistanceFromCamera:a,isOccluded:false}}function Tt(t,e){return .5+t/e*.5}function kt(t,e){return t.x>=-e[0]&&t.x<=e[0]&&t.y>=-e[1]&&t.y<=e[1]}function At(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m){const g=i?t.textSizeData:t.iconSizeData,y=e.ah(g,n.transform.zoom),v=[256/n.width*2+1,256/n.height*2+1],x=i?t.text.dynamicLayoutVertexArray:t.icon.dynamicLayoutVertexArray;x.clear();const _=t.lineVertexArray,b=i?t.text.placedSymbolArray:t.icon.placedSymbolArray,w=n.transform.width/n.transform.height;let T=false;for(let i=0;i<b.length;i++){const k=b.get(i);if(k.hidden||k.writingMode===e.ai.vertical&&!T){Rt(k.numGlyphs,x);continue}T=false;const A=wt(new e.P(k.anchorX,k.anchorY),r,m);if(!kt(A.point,v)){Rt(k.numGlyphs,x);continue}const M=A.signedDistanceFromCamera,S=Tt(n.transform.cameraToCenterDistance,M),E=e.aj(g,y,k),C=s?E/S:E*S,L={getElevation:m,labelPlaneMatrix:a,lineVertexArray:_,pitchWithMap:s,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:false},projection:u,tileAnchorPoint:new e.P(k.anchorX,k.anchorY),unwrappedTileID:h,width:f,height:p,translation:d},I=Et(L,k,C,false,l,r,o,t.glyphOffsetArray,x,w,c);T=I.useVertical,(I.notEnoughRoom||T||I.needsFlipping&&Et(L,k,C,true,l,r,o,t.glyphOffsetArray,x,w,c).notEnoughRoom)&&Rt(k.numGlyphs,x);}i?t.text.dynamicLayoutVertexBuffer.updateData(x):t.icon.dynamicLayoutVertexBuffer.updateData(x);}function Mt(t,e,r,n,i,a,o,s){const l=a.glyphStartIndex+a.numGlyphs,c=a.lineStartIndex,u=a.lineStartIndex+a.lineLength,h=e.getoffsetX(a.glyphStartIndex),f=e.getoffsetX(l-1),p=Ot(t*h,r,n,i,a.segment,c,u,s,o);if(!p)return null;const d=Ot(t*f,r,n,i,a.segment,c,u,s,o);return d?s.projectionCache.anyProjectionOccluded?null:{first:p,last:d}:null}function St(t,r,n,i){return t===e.ai.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:true}:(t===e.ai.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:true}:null}function Et(t,r,n,i,a,o,s,l,c,u,h){const f=n/24,p=r.lineOffsetX*f,d=r.lineOffsetY*f;let m;if(r.numGlyphs>1){const e=r.glyphStartIndex+r.numGlyphs,n=r.lineStartIndex,o=r.lineStartIndex+r.lineLength,c=Mt(f,l,p,d,i,r,h,t);if(!c)return {notEnoughRoom:true};const g=wt(c.first.point,s,t.getElevation).point,y=wt(c.last.point,s,t.getElevation).point;if(a&&!i){const t=St(r.writingMode,g,y,u);if(t)return t}m=[c.first];for(let a=r.glyphStartIndex+1;a<e-1;a++)m.push(Ot(f*l.getoffsetX(a),p,d,i,r.segment,n,o,t,h));m.push(c.last);}else {if(a&&!i){const n=wt(t.tileAnchorPoint,o,t.getElevation).point,i=r.lineStartIndex+r.segment+1,a=new e.P(t.lineVertexArray.getx(i),t.lineVertexArray.gety(i)),s=wt(a,o,t.getElevation),l=s.signedDistanceFromCamera>0?s.point:function(t,e,r,n,i,a){return Ct(t,e,r,n,i,a)}(t.tileAnchorPoint,a,n,1,o,t),c=St(r.writingMode,n,l,u);if(c)return c}const n=Ot(f*l.getoffsetX(r.glyphStartIndex),p,d,i,r.segment,r.lineStartIndex,r.lineStartIndex+r.lineLength,t,h);if(!n||t.projectionCache.anyProjectionOccluded)return {notEnoughRoom:true};m=[n];}for(const t of m)e.ak(c,t.point,t.angle);return {}}function Ct(t,e,r,n,i,a){const o=t.add(t.sub(e)._unit()),s=void 0!==i?wt(o,i,a.getElevation).point:It(o.x,o.y,a).point,l=r.sub(s);return r.add(l._mult(n/l.mag()))}function Lt(t,r,n){const i=r.projectionCache;if(i.projections[t])return i.projections[t];const a=new e.P(r.lineVertexArray.getx(t),r.lineVertexArray.gety(t)),o=It(a.x,a.y,r);if(o.signedDistanceFromCamera>0)return i.projections[t]=o.point,i.anyProjectionOccluded=i.anyProjectionOccluded||o.isOccluded,o.point;const s=t-n.direction,l=0===n.distanceFromAnchor?r.tileAnchorPoint:new e.P(r.lineVertexArray.getx(s),r.lineVertexArray.gety(s)),c=n.absOffsetX-n.distanceFromAnchor+1;return function(t,e,r,n,i){return Ct(t,e,r,n,void 0,i)}(l,a,n.previousVertex,c,r)}function It(t,r,n){const i=t+n.translation[0],a=r+n.translation[1];let o;return !n.pitchWithMap&&n.projection.useSpecialProjectionForSymbols?(o=n.projection.projectTileCoordinates(i,a,n.unwrappedTileID,n.getElevation),o.point.x=(.5*o.point.x+.5)*n.width,o.point.y=(.5*-o.point.y+.5)*n.height):(o=wt(new e.P(i,a),n.labelPlaneMatrix,n.getElevation),o.isOccluded=false),o}function Pt(t,e,r){return t._unit()._perp()._mult(e*r)}function zt(t,r,n,i,a,o,s,l,c){if(l.projectionCache.offsets[t])return l.projectionCache.offsets[t];const u=n.add(r);if(t+c.direction<i||t+c.direction>=a)return l.projectionCache.offsets[t]=u,u;const h=Lt(t+c.direction,l,c),f=Pt(h.sub(n),s,c.direction),p=n.add(f),d=h.add(f);return l.projectionCache.offsets[t]=e.al(o,u,p,d)||u,l.projectionCache.offsets[t]}function Ot(t,e,r,n,i,a,o,s,l){const c=n?t-e:t+e;let u=c>0?1:-1,h=0;n&&(u*=-1,h=Math.PI),u<0&&(h+=Math.PI);let f,p=u>0?a+i:a+i+1;s.projectionCache.cachedAnchorPoint?f=s.projectionCache.cachedAnchorPoint:(f=It(s.tileAnchorPoint.x,s.tileAnchorPoint.y,s).point,s.projectionCache.cachedAnchorPoint=f);let d,m,g=f,y=f,v=0,x=0;const _=Math.abs(c),b=[];let w;for(;v+x<=_;){if(p+=u,p<a||p>=o)return null;v+=x,y=g,m=d;const t={absOffsetX:_,direction:u,distanceFromAnchor:v,previousVertex:y};if(g=Lt(p,s,t),0===r)b.push(y),w=g.sub(y);else {let e;const n=g.sub(y);e=0===n.mag()?Pt(Lt(p+u,s,t).sub(g),r,u):Pt(n,r,u),m||(m=y.add(e)),d=zt(p,e,g,a,o,m,r,s,t),b.push(m),w=d.sub(m);}x=w.mag();}const T=(_-v)/x,k=w._mult(T)._add(m||y),A=h+Math.atan2(g.y-y.y,g.x-y.x);return b.push(k),{point:k,angle:l?A:0,path:b}}const Dt=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function Rt(t,e){for(let r=0;r<t;r++){const t=e.length;e.resize(t+4),e.float32.set(Dt,3*t);}}const Ft=100;class Bt{constructor(t,e,r=new xt(t.width+200,t.height+200,25),n=new xt(t.width+200,t.height+200,25)){this.transform=t,this.mapProjection=e,this.grid=r,this.ignoredGrid=n,this.pitchFactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+Ft,this.screenBottomBoundary=t.height+Ft,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200,this.perspectiveRatioCutoff=.6;}placeCollisionBox(t,e,r,n,i,a,o,s,l,c,u){const h=t.anchorPointX+s[0],f=t.anchorPointY+s[1],p=this.projectAndGetPerspectiveRatio(n,h,f,i,c),d=this._projectCollisionBox(t,r,n,i,a,o,s,p,c,u),[m,g,y,v]=d.box;return this.mapProjection.useSpecialProjectionForSymbols&&(a?d.allPointsOccluded:this.mapProjection.isOccluded(h,f,i))||p.perspectiveRatio<this.perspectiveRatioCutoff||!this.isInsideGrid(m,g,y,v)||\"always\"!==e&&this.grid.hitTest(m,g,y,v,e,l)?{box:[m,g,y,v],placeable:false,offscreen:false}:{box:[m,g,y,v],placeable:true,offscreen:this.isOffscreen(m,g,y,v)}}placeCollisionCircles(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g){const y=[],v=new e.P(r.anchorX,r.anchorY),x=this.getPerspectiveRatio(o,v.x,v.y,s,g),_=(h?a/x:a*x)/e.aq,b=r.lineOffsetX*_,w=r.lineOffsetY*_,T={getElevation:g,labelPlaneMatrix:l,lineVertexArray:n,pitchWithMap:h,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:false},projection:this.mapProjection,tileAnchorPoint:v,unwrappedTileID:s,width:this.transform.width,height:this.transform.height,translation:m},k=Mt(_,i,b,w,false,r,false,T);let A=false,M=false,S=true;if(k){const r=.5*p*x+d,n=new e.P(-100,-100),i=new e.P(this.screenRightBoundary,this.screenBottomBoundary),a=new yt,o=k.first,s=k.last;let l=[];for(let t=o.path.length-1;t>=1;t--)l.push(o.path[t]);for(let t=1;t<s.path.length;t++)l.push(s.path[t]);const h=2.5*r;if(c){const t=this.projectPathToScreenSpace(l,T,c);l=t.some((t=>t.signedDistanceFromCamera<=0))?[]:t.map((t=>t.point));}let m=[];if(l.length>0){const t=l[0].clone(),r=l[0].clone();for(let e=1;e<l.length;e++)t.x=Math.min(t.x,l[e].x),t.y=Math.min(t.y,l[e].y),r.x=Math.max(r.x,l[e].x),r.y=Math.max(r.y,l[e].y);m=t.x>=n.x&&r.x<=i.x&&t.y>=n.y&&r.y<=i.y?[l]:r.x<n.x||t.x>i.x||r.y<n.y||t.y>i.y?[]:e.am([l],n.x,n.y,i.x,i.y);}for(const e of m){a.reset(e,.25*r);let n=0;n=a.length<=.5*r?1:Math.ceil(a.paddedLength/h)+1;for(let e=0;e<n;e++){const i=e/Math.max(n-1,1),o=a.lerp(i),s=o.x+Ft,l=o.y+Ft;y.push(s,l,r,0);const c=s-r,h=l-r,p=s+r,d=l+r;if(S=S&&this.isOffscreen(c,h,p,d),M=M||this.isInsideGrid(c,h,p,d),\"always\"!==t&&this.grid.hitTestCircle(s,l,r,t,f)&&(A=true,!u))return {circles:[],offscreen:false,collisionDetected:A}}}}return {circles:!u&&A||!M||x<this.perspectiveRatioCutoff?[]:y,offscreen:S,collisionDetected:A}}projectPathToScreenSpace(t,e,r){return t.map((t=>wt(t,r,e.getElevation)))}queryRenderedSymbols(t){if(0===t.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return {};const r=[];let n=1/0,i=1/0,a=-1/0,o=-1/0;for(const s of t){const t=new e.P(s.x+Ft,s.y+Ft);n=Math.min(n,t.x),i=Math.min(i,t.y),a=Math.max(a,t.x),o=Math.max(o,t.y),r.push(t);}const s=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o)),l={},c={};for(const t of s){const n=t.key;if(void 0===l[n.bucketInstanceId]&&(l[n.bucketInstanceId]={}),l[n.bucketInstanceId][n.featureIndex])continue;const i=[new e.P(t.x1,t.y1),new e.P(t.x2,t.y1),new e.P(t.x2,t.y2),new e.P(t.x1,t.y2)];e.an(r,i)&&(l[n.bucketInstanceId][n.featureIndex]=true,void 0===c[n.bucketInstanceId]&&(c[n.bucketInstanceId]=[]),c[n.bucketInstanceId].push(n.featureIndex));}return c}insertCollisionBox(t,e,r,n,i,a){const o={bucketInstanceId:n,featureIndex:i,collisionGroupID:a,overlapMode:e};(r?this.ignoredGrid:this.grid).insert(o,t[0],t[1],t[2],t[3]);}insertCollisionCircles(t,e,r,n,i,a){const o=r?this.ignoredGrid:this.grid,s={bucketInstanceId:n,featureIndex:i,collisionGroupID:a,overlapMode:e};for(let e=0;e<t.length;e+=4)o.insertCircle(s,t[e],t[e+1],t[e+2]);}projectAndGetPerspectiveRatio(t,r,n,i,a){const o=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(r,n,i,a):wt(new e.P(r,n),t,a);return {point:new e.P((o.point.x+1)/2*this.transform.width+Ft,(1-o.point.y)/2*this.transform.height+Ft),perspectiveRatio:.5+this.transform.cameraToCenterDistance/o.signedDistanceFromCamera*.5,isOccluded:o.isOccluded,signedDistanceFromCamera:o.signedDistanceFromCamera}}getPerspectiveRatio(t,r,n,i,a){const o=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(r,n,i,a):wt(new e.P(r,n),t,a);return .5+this.transform.cameraToCenterDistance/o.signedDistanceFromCamera*.5}isOffscreen(t,e,r,n){return r<Ft||t>=this.screenRightBoundary||n<Ft||e>this.screenBottomBoundary}isInsideGrid(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary}getViewportMatrix(){const t=e.ao([]);return e.J(t,t,[-100,-100,0]),t}_projectCollisionBox(t,r,n,i,a,o,s,l,c,u){const h=r*l.perspectiveRatio;let f=new e.P(1,0),p=new e.P(0,1);const d=new e.P(t.anchorPointX+s[0],t.anchorPointY+s[1]);if(o&&!a){const t=this.projectAndGetPerspectiveRatio(n,d.x+1,d.y,i,c).point.sub(l.point).unit(),r=Math.atan(t.y/t.x)+(t.x<0?Math.PI:0),a=Math.sin(r),o=Math.cos(r);f=new e.P(o,a),p=new e.P(-a,o);}else if(!o&&a){const t=-this.transform.angle,r=Math.sin(t),n=Math.cos(t);f=new e.P(n,r),p=new e.P(-r,n);}let m=l.point,g=h;if(a){m=d;const t=this.transform.zoom-Math.floor(this.transform.zoom);if(g=Math.pow(2,-t),g*=this.mapProjection.getPitchedTextCorrection(this.transform,d,i),!u){const t=l.signedDistanceFromCamera/this.transform.cameraToCenterDistance;g*=e.ad(.5+.5*t,0,4);}}u&&(m=m.add(f.mult(u.x*g)).add(p.mult(u.y*g)));const y=t.x1*g,v=t.x2*g,x=(y+v)/2,_=t.y1*g,b=t.y2*g,w=(_+b)/2,T=[{offsetX:y,offsetY:_},{offsetX:x,offsetY:_},{offsetX:v,offsetY:_},{offsetX:v,offsetY:w},{offsetX:v,offsetY:b},{offsetX:x,offsetY:b},{offsetX:y,offsetY:b},{offsetX:y,offsetY:w}];let k=[];for(const{offsetX:t,offsetY:r}of T)k.push(new e.P(m.x+f.x*t+p.x*r,m.y+f.y*t+p.y*r));let A=false;if(a){const t=k.map((t=>this.projectAndGetPerspectiveRatio(n,t.x,t.y,i,c)));A=t.some((t=>!t.isOccluded)),k=t.map((t=>t.point));}else A=true;return {box:e.ap(k),allPointsOccluded:!A}}}function Nt(t,r,n){return r*(e.X/(t.tileSize*Math.pow(2,n-t.tileID.overscaledZ)))}class jt{constructor(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r;}isHidden(){return 0===this.opacity&&!this.placed}}class Ut{constructor(t,e,r,n,i){this.text=new jt(t?t.text:null,e,r,i),this.icon=new jt(t?t.icon:null,e,n,i);}isHidden(){return this.text.isHidden()&&this.icon.isHidden()}}class Vt{constructor(t,e,r){this.text=t,this.icon=e,this.skipFade=r;}}class qt{constructor(){this.invProjMatrix=e.H(),this.viewportMatrix=e.H(),this.circles=[];}}class Ht{constructor(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i;}}class Gt{constructor(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={};}get(t){if(this.crossSourceCollisions)return {ID:0,predicate:null};if(!this.collisionGroups[t]){const e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:t=>t.collisionGroupID===e};}return this.collisionGroups[t]}}function Zt(t,r,n,i,a){const{horizontalAlign:o,verticalAlign:s}=e.av(t),l=-(o-.5)*r,c=-(s-.5)*n;return new e.P(l+i[0]*a,c+i[1]*a)}class Wt{constructor(t,e,r,n,i,a){this.transform=t.clone(),this.terrain=r,this.collisionIndex=new Bt(this.transform,e),this.placements={},this.opacities={},this.variableOffsets={},this.stale=false,this.commitTime=0,this.fadeDuration=n,this.retainedQueryData={},this.collisionGroups=new Gt(i),this.collisionCircleArrays={},this.collisionBoxArrays=new Map,this.prevPlacement=a,a&&(a.prevPlacement=void 0),this.placedOrientations={};}_getTerrainElevationFunc(t){const e=this.terrain;return e?(r,n)=>e.getElevation(t,r,n):null}getBucketParts(t,r,n,i){const a=n.getBucket(r),o=n.latestFeatureIndex;if(!a||!o||r.id!==a.layerIds[0])return;const s=n.collisionBoxArray,l=a.layers[0].layout,c=a.layers[0].paint,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),h=n.tileSize/e.X,f=n.tileID.toUnwrapped(),p=this.transform.calculatePosMatrix(f),d=\"map\"===l.get(\"text-pitch-alignment\"),m=\"map\"===l.get(\"text-rotation-alignment\"),g=Nt(n,1,this.transform.zoom),y=this.collisionIndex.mapProjection.translatePosition(this.transform,n,c.get(\"text-translate\"),c.get(\"text-translate-anchor\")),v=this.collisionIndex.mapProjection.translatePosition(this.transform,n,c.get(\"icon-translate\"),c.get(\"icon-translate-anchor\")),x=_t(p,d,m,this.transform,g);let _=null;if(d){const t=bt(p,d,m,this.transform,g);_=e.L([],this.transform.labelPlaneMatrix,t);}this.retainedQueryData[a.bucketInstanceId]=new Ht(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);const b={bucket:a,layout:l,translationText:y,translationIcon:v,posMatrix:p,unwrappedTileID:f,textLabelPlaneMatrix:x,labelToScreenMatrix:_,scale:u,textPixelRatio:h,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:e.ah(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(const e of a.sortKeyRanges){const{sortKey:r,symbolInstanceStart:n,symbolInstanceEnd:i}=e;t.push({sortKey:r,symbolInstanceStart:n,symbolInstanceEnd:i,parameters:b});}else t.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:b});}attemptAnchorPlacement(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x){const _=e.ar[t.textAnchor],b=[t.textOffset0,t.textOffset1],w=Zt(_,n,i,b,a),T=this.collisionIndex.placeCollisionBox(r,f,l,c,u,s,o,g,h.predicate,x,w);if((!v||this.collisionIndex.placeCollisionBox(v,f,l,c,u,s,o,y,h.predicate,x,w).placeable)&&T.placeable){let t;if(this.prevPlacement&&this.prevPlacement.variableOffsets[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID].text&&(t=this.prevPlacement.variableOffsets[p.crossTileID].anchor),0===p.crossTileID)throw new Error(\"symbolInstance.crossTileID can't be 0\");return this.variableOffsets[p.crossTileID]={textOffset:b,width:n,height:i,anchor:_,textBoxScale:a,prevAnchor:t},this.markUsedJustification(d,_,p,m),d.allowVerticalPlacement&&(this.markUsedOrientation(d,m,p),this.placedOrientations[p.crossTileID]=m),{shift:w,placedGlyphBoxes:T}}}placeLayerBucketPart(t,r,n){const{bucket:i,layout:a,translationText:o,translationIcon:s,posMatrix:l,unwrappedTileID:c,textLabelPlaneMatrix:u,labelToScreenMatrix:h,textPixelRatio:f,holdingForFade:p,collisionBoxArray:d,partiallyEvaluatedTextSize:m,collisionGroup:g}=t.parameters,y=a.get(\"text-optional\"),v=a.get(\"icon-optional\"),x=e.as(a,\"text-overlap\",\"text-allow-overlap\"),_=\"always\"===x,b=e.as(a,\"icon-overlap\",\"icon-allow-overlap\"),w=\"always\"===b,T=\"map\"===a.get(\"text-rotation-alignment\"),k=\"map\"===a.get(\"text-pitch-alignment\"),A=\"none\"!==a.get(\"icon-text-fit\"),M=\"viewport-y\"===a.get(\"symbol-z-order\"),S=_&&(w||!i.hasIconData()||v),E=w&&(_||!i.hasTextData()||y);!i.collisionArrays&&d&&i.deserializeCollisionBoxes(d);const C=this.retainedQueryData[i.bucketInstanceId].tileID,L=this._getTerrainElevationFunc(C),I=(t,d,w)=>{var M,C;if(r[t.crossTileID])return;if(p)return void(this.placements[t.crossTileID]=new Vt(false,false,false));let I=false,P=false,z=true,O=null,D={box:null,placeable:false,offscreen:null},R={placeable:false},F=null,B=null,N=null,j=0,U=0,V=0;d.textFeatureIndex?j=d.textFeatureIndex:t.useRuntimeCollisionCircles&&(j=t.featureIndex),d.verticalTextFeatureIndex&&(U=d.verticalTextFeatureIndex);const q=d.textBox;if(q){const r=r=>{let n=e.ai.horizontal;if(i.allowVerticalPlacement&&!r&&this.prevPlacement){const e=this.prevPlacement.placedOrientations[t.crossTileID];e&&(this.placedOrientations[t.crossTileID]=e,n=e,this.markUsedOrientation(i,n,t));}return n},a=(r,n)=>{if(i.allowVerticalPlacement&&t.numVerticalGlyphVertices>0&&d.verticalTextBox){for(const t of i.writingModes)if(t===e.ai.vertical?(D=n(),R=D):D=r(),D&&D.placeable)break}else D=r();},u=t.textAnchorOffsetStartIndex,h=t.textAnchorOffsetEndIndex;if(h===u){const n=(e,r)=>{const n=this.collisionIndex.placeCollisionBox(e,x,f,l,c,k,T,o,g.predicate,L);return n&&n.placeable&&(this.markUsedOrientation(i,r,t),this.placedOrientations[t.crossTileID]=r),n};a((()=>n(q,e.ai.horizontal)),(()=>{const r=d.verticalTextBox;return i.allowVerticalPlacement&&t.numVerticalGlyphVertices>0&&r?n(r,e.ai.vertical):{box:null,offscreen:null}})),r(D&&D.placeable);}else {let p=e.ar[null===(C=null===(M=this.prevPlacement)||void 0===M?void 0:M.variableOffsets[t.crossTileID])||void 0===C?void 0:C.anchor];const m=(r,a,d)=>{const m=r.x2-r.x1,y=r.y2-r.y1,v=t.textBoxScale,_=A&&\"never\"===b?a:null;let w=null,M=\"never\"===x?1:2,S=\"never\";p&&M++;for(let e=0;e<M;e++){for(let e=u;e<h;e++){const n=i.textAnchorOffsets.get(e);if(p&&n.textAnchor!==p)continue;const a=this.attemptAnchorPlacement(n,r,m,y,v,T,k,f,l,c,g,S,t,i,d,o,s,_,L);if(a&&(w=a.placedGlyphBoxes,w&&w.placeable))return I=true,O=a.shift,w}p?p=null:S=x;}return n&&!w&&(w={box:this.collisionIndex.placeCollisionBox(q,\"always\",f,l,c,k,T,o,g.predicate,L,new e.P(0,0)).box,offscreen:false,placeable:false}),w};a((()=>m(q,d.iconBox,e.ai.horizontal)),(()=>{const r=d.verticalTextBox,n=D&&D.placeable;return i.allowVerticalPlacement&&!n&&t.numVerticalGlyphVertices>0&&r?m(r,d.verticalIconBox,e.ai.vertical):{box:null,occluded:true,offscreen:null}})),D&&(I=D.placeable,z=D.offscreen);const y=r(D&&D.placeable);if(!I&&this.prevPlacement){const e=this.prevPlacement.variableOffsets[t.crossTileID];e&&(this.variableOffsets[t.crossTileID]=e,this.markUsedJustification(i,e.anchor,t,y));}}}if(F=D,I=F&&F.placeable,z=F&&F.offscreen,t.useRuntimeCollisionCircles){const r=i.text.placedSymbolArray.get(t.centerJustifiedTextSymbolIndex),s=e.aj(i.textSizeData,m,r),f=a.get(\"text-padding\"),p=t.collisionCircleDiameter;B=this.collisionIndex.placeCollisionCircles(x,r,i.lineVertexArray,i.glyphOffsetArray,s,l,c,u,h,n,k,g.predicate,p,f,o,L),B.circles.length&&B.collisionDetected&&!n&&e.w(\"Collisions detected, but collision boxes are not shown\"),I=_||B.circles.length>0&&!B.collisionDetected,z=z&&B.offscreen;}if(d.iconFeatureIndex&&(V=d.iconFeatureIndex),d.iconBox){const t=t=>this.collisionIndex.placeCollisionBox(t,b,f,l,c,k,T,s,g.predicate,L,A&&O?O:void 0);R&&R.placeable&&d.verticalIconBox?(N=t(d.verticalIconBox),P=N.placeable):(N=t(d.iconBox),P=N.placeable),z=z&&N.offscreen;}const H=y||0===t.numHorizontalGlyphVertices&&0===t.numVerticalGlyphVertices,G=v||0===t.numIconVertices;H||G?G?H||(P=P&&I):I=P&&I:P=I=P&&I;const Z=I&&F.placeable,W=P&&N.placeable;if(Z&&(R&&R.placeable&&U?this.collisionIndex.insertCollisionBox(F.box,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,U,g.ID):this.collisionIndex.insertCollisionBox(F.box,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,j,g.ID)),W&&this.collisionIndex.insertCollisionBox(N.box,b,a.get(\"icon-ignore-placement\"),i.bucketInstanceId,V,g.ID),B&&I&&this.collisionIndex.insertCollisionCircles(B.circles,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,j,g.ID),n&&this.storeCollisionData(i.bucketInstanceId,w,d,F,N,B),0===t.crossTileID)throw new Error(\"symbolInstance.crossTileID can't be 0\");if(0===i.bucketInstanceId)throw new Error(\"bucket.bucketInstanceId can't be 0\");this.placements[t.crossTileID]=new Vt(I||S,P||E,z||i.justReloaded),r[t.crossTileID]=true;};if(M){if(0!==t.symbolInstanceStart)throw new Error(\"bucket.bucketInstanceId should be 0\");const e=i.getSortedSymbolIndexes(this.transform.angle);for(let t=e.length-1;t>=0;--t){const r=e[t];I(i.symbolInstances.get(r),i.collisionArrays[r],r);}}else for(let e=t.symbolInstanceStart;e<t.symbolInstanceEnd;e++)I(i.symbolInstances.get(e),i.collisionArrays[e],e);if(n&&i.bucketInstanceId in this.collisionCircleArrays){const t=this.collisionCircleArrays[i.bucketInstanceId];e.at(t.invProjMatrix,l),t.viewportMatrix=this.collisionIndex.getViewportMatrix();}i.justReloaded=false;}storeCollisionData(t,e,r,n,i,a){if(r.textBox||r.iconBox){let a,o;this.collisionBoxArrays.has(t)?a=this.collisionBoxArrays.get(t):(a=new Map,this.collisionBoxArrays.set(t,a)),a.has(e)?o=a.get(e):(o={text:null,icon:null},a.set(e,o)),r.textBox&&(o.text=n.box),r.iconBox&&(o.icon=i.box);}if(a){let e=this.collisionCircleArrays[t];void 0===e&&(e=this.collisionCircleArrays[t]=new qt);for(let t=0;t<a.circles.length;t+=4)e.circles.push(a.circles[t+0]),e.circles.push(a.circles[t+1]),e.circles.push(a.circles[t+2]),e.circles.push(a.collisionDetected?1:0);}}markUsedJustification(t,r,n,i){const a={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};let o;o=i===e.ai.vertical?n.verticalPlacedTextSymbolIndex:a[e.au(r)];const s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];for(const e of s)e>=0&&(t.text.placedSymbolArray.get(e).crossTileID=o>=0&&e!==o?0:n.crossTileID);}markUsedOrientation(t,r,n){const i=r===e.ai.horizontal||r===e.ai.horizontalOnly?r:0,a=r===e.ai.vertical?r:0,o=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];for(const e of o)t.text.placedSymbolArray.get(e).placedOrientation=i;n.verticalPlacedTextSymbolIndex&&(t.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a);}commit(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;const e=this.prevPlacement;let r=false;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;const n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(const t in this.placements){const e=this.placements[t],a=i[t];a?(this.opacities[t]=new Ut(a,n,e.text,e.icon),r=r||e.text!==a.text.placed||e.icon!==a.icon.placed):(this.opacities[t]=new Ut(null,n,e.text,e.icon,e.skipFade),r=r||e.text||e.icon);}for(const t in i){const e=i[t];if(!this.opacities[t]){const i=new Ut(e,n,false,false);i.isHidden()||(this.opacities[t]=i,r=r||e.text.placed||e.icon.placed);}}for(const t in a)this.variableOffsets[t]||!this.opacities[t]||this.opacities[t].isHidden()||(this.variableOffsets[t]=a[t]);for(const t in o)this.placedOrientations[t]||!this.opacities[t]||this.opacities[t].isHidden()||(this.placedOrientations[t]=o[t]);if(e&&void 0===e.lastPlacementChangeTime)throw new Error(\"Last placement time for previous placement is not defined\");r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t);}updateLayerOpacities(t,e){const r={};for(const n of e){const e=n.getBucket(t);e&&n.latestFeatureIndex&&t.id===e.layerIds[0]&&this.updateBucketOpacities(e,n.tileID,r,n.collisionBoxArray);}}updateBucketOpacities(t,r,n,i){t.hasTextData()&&(t.text.opacityVertexArray.clear(),t.text.hasVisibleVertices=false),t.hasIconData()&&(t.icon.opacityVertexArray.clear(),t.icon.hasVisibleVertices=false),t.hasIconCollisionBoxData()&&t.iconCollisionBox.collisionVertexArray.clear(),t.hasTextCollisionBoxData()&&t.textCollisionBox.collisionVertexArray.clear();const a=t.layers[0],o=a.layout,s=new Ut(null,0,false,false,true),l=o.get(\"text-allow-overlap\"),c=o.get(\"icon-allow-overlap\"),u=a._unevaluatedLayout.hasValue(\"text-variable-anchor\")||a._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),h=\"map\"===o.get(\"text-rotation-alignment\"),f=\"map\"===o.get(\"text-pitch-alignment\"),p=\"none\"!==o.get(\"icon-text-fit\"),d=new Ut(null,0,l&&(c||!t.hasIconData()||o.get(\"icon-optional\")),c&&(l||!t.hasTextData()||o.get(\"text-optional\")),true);!t.collisionArrays&&i&&(t.hasIconCollisionBoxData()||t.hasTextCollisionBoxData())&&t.deserializeCollisionBoxes(i);const m=(t,e,r)=>{for(let n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r);t.hasVisibleVertices=t.hasVisibleVertices||r!==ne;},g=this.collisionBoxArrays.get(t.bucketInstanceId);for(let r=0;r<t.symbolInstances.length;r++){const i=t.symbolInstances.get(r),{numHorizontalGlyphVertices:a,numVerticalGlyphVertices:o,crossTileID:l}=i,c=n[l];let y=this.opacities[l];c?y=s:y||(y=d,this.opacities[l]=y),n[l]=true;const v=a>0||o>0,x=i.numIconVertices>0,_=this.placedOrientations[i.crossTileID],b=_===e.ai.vertical,w=_===e.ai.horizontal||_===e.ai.horizontalOnly;if(v){const e=re(y.text),r=b?ne:e;m(t.text,a,r);const n=w?ne:e;m(t.text,o,n);const s=y.text.isHidden();[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((e=>{e>=0&&(t.text.placedSymbolArray.get(e).hidden=s||b?1:0);})),i.verticalPlacedTextSymbolIndex>=0&&(t.text.placedSymbolArray.get(i.verticalPlacedTextSymbolIndex).hidden=s||w?1:0);const l=this.variableOffsets[i.crossTileID];l&&this.markUsedJustification(t,l.anchor,i,_);const c=this.placedOrientations[i.crossTileID];c&&(this.markUsedJustification(t,\"left\",i,c),this.markUsedOrientation(t,c,i));}if(x){const e=re(y.icon),r=!(p&&i.verticalPlacedIconSymbolIndex&&b);if(i.placedIconSymbolIndex>=0){const n=r?e:ne;m(t.icon,i.numIconVertices,n),t.icon.placedSymbolArray.get(i.placedIconSymbolIndex).hidden=y.icon.isHidden();}if(i.verticalPlacedIconSymbolIndex>=0){const n=r?ne:e;m(t.icon,i.numVerticalIconVertices,n),t.icon.placedSymbolArray.get(i.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden();}}const T=g&&g.has(r)?g.get(r):{text:null,icon:null};if(t.hasIconCollisionBoxData()||t.hasTextCollisionBoxData()){const n=t.collisionArrays[r];if(n){let r=new e.P(0,0);if(n.textBox||n.verticalTextBox){let e=true;if(u){const t=this.variableOffsets[l];t?(r=Zt(t.anchor,t.width,t.height,t.textOffset,t.textBoxScale),h&&r._rotate(f?this.transform.angle:-this.transform.angle)):e=false;}if(n.textBox||n.verticalTextBox){let i;n.textBox&&(i=b),n.verticalTextBox&&(i=w),Yt(t.textCollisionBox.collisionVertexArray,y.text.placed,!e||i,T.text,r.x,r.y);}}if(n.iconBox||n.verticalIconBox){const e=Boolean(!w&&n.verticalIconBox);let i;n.iconBox&&(i=e),n.verticalIconBox&&(i=!e),Yt(t.iconCollisionBox.collisionVertexArray,y.icon.placed,i,T.icon,p?r.x:0,p?r.y:0);}}}}if(t.sortFeatures(this.transform.angle),this.retainedQueryData[t.bucketInstanceId]&&(this.retainedQueryData[t.bucketInstanceId].featureSortOrder=t.featureSortOrder),t.hasTextData()&&t.text.opacityVertexBuffer&&t.text.opacityVertexBuffer.updateData(t.text.opacityVertexArray),t.hasIconData()&&t.icon.opacityVertexBuffer&&t.icon.opacityVertexBuffer.updateData(t.icon.opacityVertexArray),t.hasIconCollisionBoxData()&&t.iconCollisionBox.collisionVertexBuffer&&t.iconCollisionBox.collisionVertexBuffer.updateData(t.iconCollisionBox.collisionVertexArray),t.hasTextCollisionBoxData()&&t.textCollisionBox.collisionVertexBuffer&&t.textCollisionBox.collisionVertexBuffer.updateData(t.textCollisionBox.collisionVertexArray),t.text.opacityVertexArray.length!==t.text.layoutVertexArray.length/4)throw new Error(`bucket.text.opacityVertexArray.length (= ${t.text.opacityVertexArray.length}) !== bucket.text.layoutVertexArray.length (= ${t.text.layoutVertexArray.length}) / 4`);if(t.icon.opacityVertexArray.length!==t.icon.layoutVertexArray.length/4)throw new Error(`bucket.icon.opacityVertexArray.length (= ${t.icon.opacityVertexArray.length}) !== bucket.icon.layoutVertexArray.length (= ${t.icon.layoutVertexArray.length}) / 4`);if(t.bucketInstanceId in this.collisionCircleArrays){const e=this.collisionCircleArrays[t.bucketInstanceId];t.placementInvProjMatrix=e.invProjMatrix,t.placementViewportMatrix=e.viewportMatrix,t.collisionCircleArray=e.circles,delete this.collisionCircleArrays[t.bucketInstanceId];}}symbolFadeChange(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment}zoomAdjustment(t){return Math.max(0,(this.transform.zoom-t)/1.5)}hasTransitions(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration}stillRecent(t,e){const r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t}setStale(){this.stale=true;}}function Yt(t,e,r,n,i,a){n&&0!==n.length||(n=[0,0,0,0]);const o=n[0]-Ft,s=n[1]-Ft,l=n[2]-Ft,c=n[3]-Ft;t.emplaceBack(e?1:0,r?1:0,i||0,a||0,o,s),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,l,s),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,l,c),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,o,c);}const Xt=Math.pow(2,25),$t=Math.pow(2,24),Jt=Math.pow(2,17),Kt=Math.pow(2,16),Qt=Math.pow(2,9),te=Math.pow(2,8),ee=Math.pow(2,1);function re(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;const e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Xt+e*$t+r*Jt+e*Kt+r*Qt+e*te+r*ee+e}const ne=0;function ie(){return {isOccluded(t,e,r){return  false},getPitchedTextCorrection(t,e,r){return 1},get useSpecialProjectionForSymbols(){return  false},projectTileCoordinates(t,e,r,n){throw new Error(\"Not implemented.\")},translatePosition(t,e,r,n){return function(t,e,r,n,i=false){if(!r[0]&&!r[1])return [0,0];const a=i?\"map\"===n?t.angle:0:\"viewport\"===n?-t.angle:0;if(a){const t=Math.sin(a),e=Math.cos(a);r=[r[0]*e-r[1]*t,r[0]*t+r[1]*e];}return [i?r[0]:Nt(e,r[0],t.zoom),i?r[1]:Nt(e,r[1],t.zoom)]}(t,e,r,n)},getCircleRadiusCorrection(t){return 1}}}class ae{constructor(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&!t.layout.get(\"symbol-sort-key\").isConstant(),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[];}continuePlacement(t,e,r,n,i){const a=this._bucketParts;for(;this._currentTileIndex<t.length;){const r=t[this._currentTileIndex];if(e.getBucketParts(a,n,r,this._sortAcrossTiles),this._currentTileIndex++,i())return  true}for(this._sortAcrossTiles&&(this._sortAcrossTiles=false,a.sort(((t,e)=>t.sortKey-e.sortKey)));this._currentPartIndex<a.length;){const t=a[this._currentPartIndex];if(e.placeLayerBucketPart(t,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return  true}return  false}}class oe{constructor(t,e,r,n,i,a,o,s){this.placement=new Wt(t,ie(),e,a,o,s),this._currentPlacementIndex=r.length-1,this._forceFullPlacement=n,this._showCollisionBoxes=i,this._done=false;}isDone(){return this._done}continuePlacement(t,e,r){const n=a.now(),i=()=>!this._forceFullPlacement&&a.now()-n>2;for(;this._currentPlacementIndex>=0;){const n=e[t[this._currentPlacementIndex]],a=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===n.type&&(!n.minzoom||n.minzoom<=a)&&(!n.maxzoom||n.maxzoom>a)){if(this._inProgressLayer||(this._inProgressLayer=new ae(n)),this._inProgressLayer.continuePlacement(r[n.source],this.placement,this._showCollisionBoxes,n,i))return;delete this._inProgressLayer;}this._currentPlacementIndex--;}this._done=true;}commit(t){return this.placement.commit(t),this.placement}}const se=512/e.X/2;class le{constructor(t,r,n){this.tileID=t,this.bucketInstanceId=n,this._symbolsByKey={};const i=new Map;for(let t=0;t<r.length;t++){const e=r.get(t),n=e.key,a=i.get(n);a?a.push(e):i.set(n,[e]);}for(const[t,r]of i){const n={positions:r.map((t=>({x:Math.floor(t.anchorX*se),y:Math.floor(t.anchorY*se)}))),crossTileIDs:r.map((t=>t.crossTileID))};if(n.positions.length>128){const t=new e.aw(n.positions.length,16,Uint16Array);for(const{x:e,y:r}of n.positions)t.add(e,r);t.finish(),delete n.positions,n.index=t;}this._symbolsByKey[t]=n;}}getScaledCoordinates(t,r){const{x:n,y:i,z:a}=this.tileID.canonical,{x:o,y:s,z:l}=r.canonical,c=l-a,u=se/Math.pow(2,c),h=(o*e.X+t.anchorX)*u,f=(s*e.X+t.anchorY)*u,p=n*e.X*se,d=i*e.X*se;return {x:Math.floor(h-p),y:Math.floor(f-d)}}findMatches(t,e,r){const n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z);for(let i=0;i<t.length;i++){const a=t.get(i);if(a.crossTileID)continue;const o=this._symbolsByKey[a.key];if(!o)continue;const s=this.getScaledCoordinates(a,e);if(o.index){const t=o.index.range(s.x-n,s.y-n,s.x+n,s.y+n).sort();for(const e of t){const t=o.crossTileIDs[e];if(!r[t]){r[t]=true,a.crossTileID=t;break}}}else if(o.positions)for(let t=0;t<o.positions.length;t++){const e=o.positions[t],i=o.crossTileIDs[t];if(Math.abs(e.x-s.x)<=n&&Math.abs(e.y-s.y)<=n&&!r[i]){r[i]=true,a.crossTileID=i;break}}}}getCrossTileIDsLists(){return Object.values(this._symbolsByKey).map((({crossTileIDs:t})=>t))}}class ce{constructor(){this.maxCrossTileID=0;}generate(){return ++this.maxCrossTileID}}class ue{constructor(){this.indexes={},this.usedCrossTileIDs={},this.lng=0;}handleWrapJump(t){const e=Math.round((t-this.lng)/360);if(0!==e)for(const t in this.indexes){const r=this.indexes[t],n={};for(const t in r){const i=r[t];i.tileID=i.tileID.unwrapTo(i.tileID.wrap+e),n[i.tileID.key]=i;}this.indexes[t]=n;}this.lng=t;}addBucket(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return  false;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key]);}for(let t=0;t<e.symbolInstances.length;t++)e.symbolInstances.get(t).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});const n=this.usedCrossTileIDs[t.overscaledZ];for(const r in this.indexes){const i=this.indexes[r];if(Number(r)>t.overscaledZ)for(const r in i){const a=i[r];a.tileID.isChildOf(t)&&a.findMatches(e.symbolInstances,t,n);}else {const a=i[t.scaledTo(Number(r)).key];a&&a.findMatches(e.symbolInstances,t,n);}}for(let t=0;t<e.symbolInstances.length;t++){const i=e.symbolInstances.get(t);i.crossTileID||(i.crossTileID=r.generate(),n[i.crossTileID]=true);}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new le(t,e.symbolInstances,e.bucketInstanceId),true}removeBucketCrossTileIDs(t,e){for(const r of e.getCrossTileIDsLists())for(const e of r)delete this.usedCrossTileIDs[t][e];}removeStaleBuckets(t){let e=false;for(const r in this.indexes){const n=this.indexes[r];for(const i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=true);}return e}}class he{constructor(){this.layerIndexes={},this.crossTileIDs=new ce,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={};}addLayer(t,e,r){let n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new ue);let i=false;const a={};n.handleWrapJump(r);for(const r of e){const e=r.getBucket(t);e&&t.id===e.layerIds[0]&&(e.bucketInstanceId||(e.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(r.tileID,e,this.crossTileIDs)&&(i=true),a[e.bucketInstanceId]=true);}return n.removeStaleBuckets(a)&&(i=true),i}pruneUnusedLayers(t){const e={};t.forEach((t=>{e[t]=true;}));for(const t in this.layerIndexes)e[t]||delete this.layerIndexes[t];}}const fe=(t,r)=>e.t(t,r&&r.filter((t=>\"source.canvas\"!==t.identifier))),pe=e.ax();class de extends e.E{constructor(t,r={}){super(),this._rtlPluginLoaded=()=>{for(const t in this.sourceCaches){const e=this.sourceCaches[t].getSource().type;\"vector\"!==e&&\"geojson\"!==e||this.sourceCaches[t].reload();}},this.map=t,this.dispatcher=new q(V(),t._getMapId()),this.dispatcher.registerMessageHandler(\"GG\",((t,e)=>this.getGlyphs(t,e))),this.dispatcher.registerMessageHandler(\"GI\",((t,e)=>this.getImages(t,e))),this.imageManager=new k,this.imageManager.setEventedParent(this),this.glyphManager=new E(t._requestManager,r.localIdeographFontFamily),this.lineAtlas=new R(256,512),this.crossTileSymbolIndex=new he,this._spritesImagesIds={},this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new e.ay,this._loaded=false,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"SR\",e.az()),ut().on(st,this._rtlPluginLoaded),this.on(\"data\",(t=>{if(\"source\"!==t.dataType||\"metadata\"!==t.sourceDataType)return;const e=this.sourceCaches[t.sourceId];if(!e)return;const r=e.getSource();if(r&&r.vectorLayerIds)for(const t in this._layers){const e=this._layers[t];e.source===r.id&&this._validateLayer(e);}}));}loadURL(t,r={},n){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),r.validate=\"boolean\"!=typeof r.validate||r.validate;const i=this.map._requestManager.transformRequest(t,\"Style\");this._loadStyleRequest=new AbortController;const a=this._loadStyleRequest;e.h(i,this._loadStyleRequest).then((t=>{this._loadStyleRequest=null,this._load(t.data,r,n);})).catch((t=>{this._loadStyleRequest=null,t&&!a.signal.aborted&&this.fire(new e.j(t));}));}loadJSON(t,r={},n){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),this._frameRequest=new AbortController,a.frameAsync(this._frameRequest).then((()=>{this._frameRequest=null,r.validate=false!==r.validate,this._load(t,r,n);})).catch((()=>{}));}loadEmpty(){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),this._load(pe,{validate:false});}_load(t,r,n){var i;const a=r.transformStyle?r.transformStyle(n,t):t;if(!r.validate||!fe(this,e.x(a))){this._loaded=true,this.stylesheet=a;for(const t in a.sources)this.addSource(t,a.sources[t],{validate:false});a.sprite?this._loadSprite(a.sprite):this.imageManager.setLoaded(true),this.glyphManager.setURL(a.glyphs),this._createLayers(),this.light=new P(this.stylesheet.light),this.sky=new D(this.stylesheet.sky),this.map.setTerrain(null!==(i=this.stylesheet.terrain)&&void 0!==i?i:null),this.fire(new e.k(\"data\",{dataType:\"style\"})),this.fire(new e.k(\"style.load\"));}}_createLayers(){const t=e.aA(this.stylesheet.layers);this.dispatcher.broadcast(\"SL\",t),this._order=t.map((t=>t.id)),this._layers={},this._serializedLayers=null;for(const r of t){const t=e.aB(r);t.setEventedParent(this,{layer:{id:r.id}}),this._layers[r.id]=t;}}_loadSprite(t,r=false,n=void 0){let i;this.imageManager.setLoaded(false),this._spriteRequest=new AbortController,b(t,this.map._requestManager,this.map.getPixelRatio(),this._spriteRequest).then((t=>{if(this._spriteRequest=null,t)for(const e in t){this._spritesImagesIds[e]=[];const n=this._spritesImagesIds[e]?this._spritesImagesIds[e].filter((e=>!(e in t))):[];for(const t of n)this.imageManager.removeImage(t),this._changedImages[t]=true;for(const n in t[e]){const i=\"default\"===e?n:`${e}:${n}`;this._spritesImagesIds[e].push(i),i in this.imageManager.images?this.imageManager.updateImage(i,t[e][n],false):this.imageManager.addImage(i,t[e][n]),r&&(this._changedImages[i]=true);}}})).catch((t=>{this._spriteRequest=null,i=t,this.fire(new e.j(i));})).finally((()=>{this.imageManager.setLoaded(true),this._availableImages=this.imageManager.listImages(),r&&(this._changed=true),this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"})),n&&n(i);}));}_unloadSprite(){for(const t of Object.values(this._spritesImagesIds).flat())this.imageManager.removeImage(t),this._changedImages[t]=true;this._spritesImagesIds={},this._availableImages=this.imageManager.listImages(),this._changed=true,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}));}_validateLayer(t){const r=this.sourceCaches[t.source];if(!r)return;const n=t.sourceLayer;if(!n)return;const i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new e.j(new Error(`Source layer \"${n}\" does not exist on source \"${i.id}\" as specified by style layer \"${t.id}\".`)));}loaded(){if(!this._loaded)return  false;if(Object.keys(this._updatedSources).length)return  false;for(const t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return  false;return !!this.imageManager.isLoaded()}_serializeByIds(t){const e=this._serializedAllLayers();if(!t||0===t.length)return Object.values(e);const r=[];for(const n of t)e[n]&&r.push(e[n]);return r}_serializedAllLayers(){let t=this._serializedLayers;if(t)return t;t=this._serializedLayers={};const e=Object.keys(this._layers);for(const r of e){const e=this._layers[r];\"custom\"!==e.type&&(t[r]=e.serialize());}return t}hasTransitions(){if(this.light&&this.light.hasTransition())return  true;if(this.sky&&this.sky.hasTransition())return  true;for(const t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return  true;for(const t in this._layers)if(this._layers[t].hasTransition())return  true;return  false}_checkLoaded(){if(!this._loaded)throw new Error(\"Style is not done loading.\")}update(t){if(!this._loaded)return;const r=this._changed;if(r){const e=Object.keys(this._updatedLayers),r=Object.keys(this._removedLayers);(e.length||r.length)&&this._updateWorkerLayers(e,r);for(const t in this._updatedSources){const e=this._updatedSources[t];if(\"reload\"===e)this._reloadSource(t);else {if(\"clear\"!==e)throw new Error(`Invalid action ${e}`);this._clearSource(t);}}this._updateTilesForChangedImages(),this._updateTilesForChangedGlyphs();for(const e in this._updatedPaintProps)this._layers[e].updateTransitions(t);this.light.updateTransitions(t),this.sky.updateTransitions(t),this._resetUpdates();}const n={};for(const t in this.sourceCaches){const e=this.sourceCaches[t];n[t]=e.used,e.used=false;}for(const e of this._order){const r=this._layers[e];r.recalculate(t,this._availableImages),!r.isHidden(t.zoom)&&r.source&&(this.sourceCaches[r.source].used=true);}for(const t in n){const r=this.sourceCaches[t];!!n[t]!=!!r.used&&r.fire(new e.k(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:t}));}this.light.recalculate(t),this.sky.recalculate(t),this.z=t.zoom,r&&this.fire(new e.k(\"data\",{dataType:\"style\"}));}_updateTilesForChangedImages(){const t=Object.keys(this._changedImages);if(t.length){for(const e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={};}}_updateTilesForChangedGlyphs(){if(this._glyphsDidChange){for(const t in this.sourceCaches)this.sourceCaches[t].reloadTilesForDependencies([\"glyphs\"],[\"\"]);this._glyphsDidChange=false;}}_updateWorkerLayers(t,e){this.dispatcher.broadcast(\"UL\",{layers:this._serializeByIds(t),removedIds:e});}_resetUpdates(){this._changed=false,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={},this._glyphsDidChange=false;}setState(t,r={}){var n;this._checkLoaded();const i=this.serialize();if(t=r.transformStyle?r.transformStyle(i,t):t,(null===(n=r.validate)||void 0===n||n)&&fe(this,e.x(t)))return  false;(t=e.aC(t)).layers=e.aA(t.layers);const a=e.aD(i,t),o=this._getOperationsToPerform(a);if(o.unimplemented.length>0)throw new Error(`Unimplemented: ${o.unimplemented.join(\", \")}.`);if(0===o.operations.length)return  false;for(const t of o.operations)t();return this.stylesheet=t,this._serializedLayers=null,true}_getOperationsToPerform(t){const e=[],r=[];for(const n of t)switch(n.command){case \"setCenter\":case \"setZoom\":case \"setBearing\":case \"setPitch\":continue;case \"addLayer\":e.push((()=>this.addLayer.apply(this,n.args)));break;case \"removeLayer\":e.push((()=>this.removeLayer.apply(this,n.args)));break;case \"setPaintProperty\":e.push((()=>this.setPaintProperty.apply(this,n.args)));break;case \"setLayoutProperty\":e.push((()=>this.setLayoutProperty.apply(this,n.args)));break;case \"setFilter\":e.push((()=>this.setFilter.apply(this,n.args)));break;case \"addSource\":e.push((()=>this.addSource.apply(this,n.args)));break;case \"removeSource\":e.push((()=>this.removeSource.apply(this,n.args)));break;case \"setLayerZoomRange\":e.push((()=>this.setLayerZoomRange.apply(this,n.args)));break;case \"setLight\":e.push((()=>this.setLight.apply(this,n.args)));break;case \"setGeoJSONSourceData\":e.push((()=>this.setGeoJSONSourceData.apply(this,n.args)));break;case \"setGlyphs\":e.push((()=>this.setGlyphs.apply(this,n.args)));break;case \"setSprite\":e.push((()=>this.setSprite.apply(this,n.args)));break;case \"setSky\":e.push((()=>this.setSky.apply(this,n.args)));break;case \"setTerrain\":e.push((()=>this.map.setTerrain.apply(this,n.args)));break;case \"setTransition\":e.push((()=>{}));break;default:r.push(n.command);}return {operations:e,unimplemented:r}}addImage(t,r){if(this.getImage(t))return this.fire(new e.j(new Error(`An image named \"${t}\" already exists.`)));this.imageManager.addImage(t,r),this._afterImageUpdated(t);}updateImage(t,e){this.imageManager.updateImage(t,e);}getImage(t){return this.imageManager.getImage(t)}removeImage(t){if(!this.getImage(t))return this.fire(new e.j(new Error(`An image named \"${t}\" does not exist.`)));this.imageManager.removeImage(t),this._afterImageUpdated(t);}_afterImageUpdated(t){this._availableImages=this.imageManager.listImages(),this._changedImages[t]=true,this._changed=true,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}));}listImages(){return this._checkLoaded(),this.imageManager.listImages()}addSource(t,r,n={}){if(this._checkLoaded(),void 0!==this.sourceCaches[t])throw new Error(`Source \"${t}\" already exists.`);if(!r.type)throw new Error(`The type property must be defined, but only the following properties were given: ${Object.keys(r).join(\", \")}.`);if([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(e.x.source,`sources.${t}`,r,null,n))return;this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=true);const i=this.sourceCaches[t]=new dt(t,r,this.dispatcher);i.style=this,i.setEventedParent(this,(()=>({isSourceLoaded:i.loaded(),source:i.serialize(),sourceId:t}))),i.onAdd(this.map),this._changed=true;}removeSource(t){if(this._checkLoaded(),void 0===this.sourceCaches[t])throw new Error(\"There is no source with this ID\");for(const r in this._layers)if(this._layers[r].source===t)return this.fire(new e.j(new Error(`Source \"${t}\" cannot be removed while layer \"${r}\" is using it.`)));const r=this.sourceCaches[t];delete this.sourceCaches[t],delete this._updatedSources[t],r.fire(new e.k(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:t})),r.setEventedParent(null),r.onRemove(this.map),this._changed=true;}setGeoJSONSourceData(t,e){if(this._checkLoaded(),void 0===this.sourceCaches[t])throw new Error(`There is no source with this ID=${t}`);const r=this.sourceCaches[t].getSource();if(\"geojson\"!==r.type)throw new Error(`geojsonSource.type is ${r.type}, which is !== 'geojson`);r.setData(e),this._changed=true;}getSource(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()}addLayer(t,r,n={}){this._checkLoaded();const i=t.id;if(this.getLayer(i))return void this.fire(new e.j(new Error(`Layer \"${i}\" already exists on this map.`)));let a;if(\"custom\"===t.type){if(fe(this,e.aE(t)))return;a=e.aB(t);}else {if(\"source\"in t&&\"object\"==typeof t.source&&(this.addSource(i,t.source),t=e.aC(t),t=e.e(t,{source:i})),this._validate(e.x.layer,`layers.${i}`,t,{arrayIndex:-1},n))return;a=e.aB(t),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}});}const o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new e.j(new Error(`Cannot add layer \"${i}\" before non-existing layer \"${r}\".`)));else {if(this._order.splice(o,0,i),this._layerOrderChanged=true,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){const t=this._removedLayers[i];delete this._removedLayers[i],t.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause());}this._updateLayer(a),a.onAdd&&a.onAdd(this.map);}}moveLayer(t,r){if(this._checkLoaded(),this._changed=true,!this._layers[t])return void this.fire(new e.j(new Error(`The layer '${t}' does not exist in the map's style and cannot be moved.`)));if(t===r)return;const n=this._order.indexOf(t);this._order.splice(n,1);const i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new e.j(new Error(`Cannot move layer \"${t}\" before non-existing layer \"${r}\".`))):(this._order.splice(i,0,t),this._layerOrderChanged=true);}removeLayer(t){this._checkLoaded();const r=this._layers[t];if(!r)return void this.fire(new e.j(new Error(`Cannot remove non-existing layer \"${t}\".`)));r.setEventedParent(null);const n=this._order.indexOf(t);this._order.splice(n,1),this._layerOrderChanged=true,this._changed=true,this._removedLayers[t]=r,delete this._layers[t],this._serializedLayers&&delete this._serializedLayers[t],delete this._updatedLayers[t],delete this._updatedPaintProps[t],r.onRemove&&r.onRemove(this.map);}getLayer(t){return this._layers[t]}getLayersOrder(){return [...this._order]}hasLayer(t){return t in this._layers}setLayerZoomRange(t,r,n){this._checkLoaded();const i=this.getLayer(t);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new e.j(new Error(`Cannot set the zoom range of non-existing layer \"${t}\".`)));}setFilter(t,r,n={}){this._checkLoaded();const i=this.getLayer(t);if(i){if(!e.aF(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(e.x.filter,`layers.${i.id}.filter`,r,null,n)||(i.filter=e.aC(r),this._updateLayer(i)))}else this.fire(new e.j(new Error(`Cannot filter non-existing layer \"${t}\".`)));}getFilter(t){return e.aC(this.getLayer(t).filter)}setLayoutProperty(t,r,n,i={}){this._checkLoaded();const a=this.getLayer(t);a?e.aF(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new e.j(new Error(`Cannot style non-existing layer \"${t}\".`)));}getLayoutProperty(t,r){const n=this.getLayer(t);if(n)return n.getLayoutProperty(r);this.fire(new e.j(new Error(`Cannot get style of non-existing layer \"${t}\".`)));}setPaintProperty(t,r,n,i={}){this._checkLoaded();const a=this.getLayer(t);a?e.aF(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=true,this._updatedPaintProps[t]=true,this._serializedLayers=null):this.fire(new e.j(new Error(`Cannot style non-existing layer \"${t}\".`)));}getPaintProperty(t,e){return this.getLayer(t).getPaintProperty(e)}setFeatureState(t,r){this._checkLoaded();const n=t.source,i=t.sourceLayer,a=this.sourceCaches[n];if(void 0===a)return void this.fire(new e.j(new Error(`The source '${n}' does not exist in the map's style.`)));const o=a.getSource().type;\"geojson\"===o&&i?this.fire(new e.j(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===t.id&&this.fire(new e.j(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,t.id,r)):this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));}removeFeatureState(t,r){this._checkLoaded();const n=t.source,i=this.sourceCaches[n];if(void 0===i)return void this.fire(new e.j(new Error(`The source '${n}' does not exist in the map's style.`)));const a=i.getSource().type,o=\"vector\"===a?t.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof t.id&&\"number\"!=typeof t.id?this.fire(new e.j(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,t.id,r):this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));}getFeatureState(t){this._checkLoaded();const r=t.source,n=t.sourceLayer,i=this.sourceCaches[r];if(void 0!==i)return \"vector\"!==i.getSource().type||n?(void 0===t.id&&this.fire(new e.j(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,t.id)):void this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));this.fire(new e.j(new Error(`The source '${r}' does not exist in the map's style.`)));}getTransition(){return e.e({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)}serialize(){if(!this._loaded)return;const t=e.aG(this.sourceCaches,(t=>t.serialize())),r=this._serializeByIds(this._order),n=this.map.getTerrain()||void 0,i=this.stylesheet;return e.aH({version:i.version,name:i.name,metadata:i.metadata,light:i.light,sky:i.sky,center:i.center,zoom:i.zoom,bearing:i.bearing,pitch:i.pitch,sprite:i.sprite,glyphs:i.glyphs,transition:i.transition,sources:t,layers:r,terrain:n},(t=>void 0!==t))}_updateLayer(t){this._updatedLayers[t.id]=true,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._serializedLayers=null,this._changed=true;}_flattenAndSortRenderedFeatures(t){const e=t=>\"fill-extrusion\"===this._layers[t].type,r={},n=[];for(let i=this._order.length-1;i>=0;i--){const a=this._order[i];if(e(a)){r[a]=i;for(const e of t){const t=e[a];if(t)for(const e of t)n.push(e);}}}n.sort(((t,e)=>e.intersectionZ-t.intersectionZ));const i=[];for(let a=this._order.length-1;a>=0;a--){const o=this._order[a];if(e(o))for(let t=n.length-1;t>=0;t--){const e=n[t].feature;if(r[e.layer.id]<a)break;i.push(e),n.pop();}else for(const e of t){const t=e[o];if(t)for(const e of t)i.push(e.feature);}}return i}queryRenderedFeatures(t,r,n){r&&r.filter&&this._validate(e.x.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);const i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new e.j(new Error(\"parameters.layers must be an Array.\"))),[];for(const t of r.layers){const r=this._layers[t];if(!r)return this.fire(new e.j(new Error(`The layer '${t}' does not exist in the map's style and cannot be queried for features.`))),[];i[r.source]=true;}}const a=[];r.availableImages=this._availableImages;const o=this._serializedAllLayers();for(const e in this.sourceCaches)r.layers&&!i[e]||a.push(Z(this.sourceCaches[e],this._layers,o,t,r,n));return this.placement&&a.push(function(t,e,r,n,i,a,o){const s={},l=a.queryRenderedSymbols(n),c=[];for(const t of Object.keys(l).map(Number))c.push(o[t]);c.sort(W);for(const r of c){const n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(const t in n){const e=s[t]=s[t]||[],i=n[t];i.sort(((t,e)=>{const n=r.featureSortOrder;if(n){const r=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-r}return e.featureIndex-t.featureIndex}));for(const t of i)e.push(t);}}for(const e in s)s[e].forEach((n=>{const i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o;}));return s}(this._layers,o,this.sourceCaches,t,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(a)}querySourceFeatures(t,r){r&&r.filter&&this._validate(e.x.filter,\"querySourceFeatures.filter\",r.filter,null,r);const n=this.sourceCaches[t];return n?function(t,e){const r=t.getRenderableIds().map((e=>t.getTileByID(e))),n=[],i={};for(let t=0;t<r.length;t++){const a=r[t],o=a.tileID.canonical.key;i[o]||(i[o]=true,a.querySourceFeatures(n,e));}return n}(n,r):[]}getLight(){return this.light.getLight()}setLight(t,r={}){this._checkLoaded();const n=this.light.getLight();let i=false;for(const r in t)if(!e.aF(t[r],n[r])){i=true;break}if(!i)return;const o={now:a.now(),transition:e.e({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(t,r),this.light.updateTransitions(o);}getSky(){var t;return null===(t=this.stylesheet)||void 0===t?void 0:t.sky}setSky(t,r={}){const n=this.sky.getSky();let i=false;t||n&&(i=true);for(const r in t)if(!e.aF(t[r],n[r])){i=true;break}if(!i)return;const o={now:a.now(),transition:e.e({duration:300,delay:0},this.stylesheet.transition)};this.stylesheet.sky=t,this.sky.setSky(t,r),this.sky.updateTransitions(o);}_validate(t,r,n,i,a={}){return (!a||false!==a.validate)&&fe(this,t.call(e.x,e.e({key:r,style:this.serialize(),value:n,styleSpec:e.v},i)))}_remove(t=true){this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._loadStyleRequest&&(this._loadStyleRequest.abort(),this._loadStyleRequest=null),this._spriteRequest&&(this._spriteRequest.abort(),this._spriteRequest=null),ut().off(st,this._rtlPluginLoaded);for(const t in this._layers)this._layers[t].setEventedParent(null);for(const t in this.sourceCaches){const e=this.sourceCaches[t];e.setEventedParent(null),e.onRemove(this.map);}this.imageManager.setEventedParent(null),this.setEventedParent(null),t&&this.dispatcher.broadcast(\"RM\",void 0),this.dispatcher.remove(t);}_clearSource(t){this.sourceCaches[t].clearTiles();}_reloadSource(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload();}_updateSources(t){for(const e in this.sourceCaches)this.sourceCaches[e].update(t,this.map.terrain);}_generateCollisionBoxes(){for(const t in this.sourceCaches)this._reloadSource(t);}_updatePlacement(t,e,r,n,i=false){let o=false,s=false;const l={};for(const e of this._order){const r=this._layers[e];if(\"symbol\"!==r.type)continue;if(!l[r.source]){const t=this.sourceCaches[r.source];l[r.source]=t.getRenderableIds(true).map((e=>t.getTileByID(e))).sort(((t,e)=>e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)));}const n=this.crossTileSymbolIndex.addLayer(r,l[r.source],t.center.lng);o=o||n;}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((i=i||this._layerOrderChanged||0===r)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(a.now(),t.zoom))&&(this.pauseablePlacement=new oe(t,this.map.terrain,this._order,i,e,r,n,this.placement),this._layerOrderChanged=false),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(a.now()),s=true),o&&this.pauseablePlacement.placement.setStale()),s||o)for(const t of this._order){const e=this._layers[t];\"symbol\"===e.type&&this.placement.updateLayerOpacities(e,l[e.source]);}return !this.pauseablePlacement.isDone()||this.placement.hasTransitions(a.now())}_releaseSymbolFadeTiles(){for(const t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles();}getImages(t,r){return e._(this,void 0,void 0,(function*(){const t=yield this.imageManager.getImages(r.icons);this._updateTilesForChangedImages();const e=this.sourceCaches[r.source];return e&&e.setDependencies(r.tileID.key,r.type,r.icons),t}))}getGlyphs(t,r){return e._(this,void 0,void 0,(function*(){const t=yield this.glyphManager.getGlyphs(r.stacks),e=this.sourceCaches[r.source];return e&&e.setDependencies(r.tileID.key,r.type,[\"\"]),t}))}getGlyphsUrl(){return this.stylesheet.glyphs||null}setGlyphs(t,r={}){this._checkLoaded(),t&&this._validate(e.x.glyphs,\"glyphs\",t,null,r)||(this._glyphsDidChange=true,this.stylesheet.glyphs=t,this.glyphManager.entries={},this.glyphManager.setURL(t));}addSprite(t,r,n={},i){this._checkLoaded();const a=[{id:t,url:r}],o=[...x(this.stylesheet.sprite),...a];this._validate(e.x.sprite,\"sprite\",o,null,n)||(this.stylesheet.sprite=o,this._loadSprite(a,true,i));}removeSprite(t){this._checkLoaded();const r=x(this.stylesheet.sprite);if(r.find((e=>e.id===t))){if(this._spritesImagesIds[t])for(const e of this._spritesImagesIds[t])this.imageManager.removeImage(e),this._changedImages[e]=true;r.splice(r.findIndex((e=>e.id===t)),1),this.stylesheet.sprite=r.length>0?r:void 0,delete this._spritesImagesIds[t],this._availableImages=this.imageManager.listImages(),this._changed=true,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}));}else this.fire(new e.j(new Error(`Sprite \"${t}\" doesn't exists on this map.`)));}getSprite(){return x(this.stylesheet.sprite)}setSprite(t,r={},n){this._checkLoaded(),t&&this._validate(e.x.sprite,\"sprite\",t,null,r)||(this.stylesheet.sprite=t,t?this._loadSprite(t,true,n):(this._unloadSprite(),n&&n(null)));}}var me=e.Y([{name:\"a_pos\",type:\"Int16\",components:2}]);const ge={prelude:ye(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\n\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\\n#ifdef TERRAIN3D\\nuniform sampler2D u_terrain;uniform float u_terrain_dim;uniform mat4 u_terrain_matrix;uniform vec4 u_terrain_unpack;uniform float u_terrain_exaggeration;uniform highp sampler2D u_depth;\\n#endif\\nconst highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitShifts=vec4(1.)/bitSh;highp float unpack(highp vec4 color) {return dot(color,bitShifts);}highp float depthOpacity(vec3 frag) {\\n#ifdef TERRAIN3D\\nhighp float d=unpack(texture2D(u_depth,frag.xy*0.5+0.5))+0.0001-frag.z;return 1.0-max(0.0,min(1.0,-d*500.0));\\n#else\\nreturn 1.0;\\n#endif\\n}float calculate_visibility(vec4 pos) {\\n#ifdef TERRAIN3D\\nvec3 frag=pos.xyz/pos.w;highp float d=depthOpacity(frag);if (d > 0.95) return 1.0;return (d+depthOpacity(frag+vec3(0.0,0.01,0.0)))/2.0;\\n#else\\nreturn 1.0;\\n#endif\\n}float ele(vec2 pos) {\\n#ifdef TERRAIN3D\\nvec4 rgb=(texture2D(u_terrain,pos)*255.0)*u_terrain_unpack;return rgb.r+rgb.g+rgb.b-u_terrain_unpack.a;\\n#else\\nreturn 0.0;\\n#endif\\n}float get_elevation(vec2 pos) {\\n#ifdef TERRAIN3D\\nvec2 coord=(u_terrain_matrix*vec4(pos,0.0,1.0)).xy*u_terrain_dim+1.0;vec2 f=fract(coord);vec2 c=(floor(coord)+0.5)/(u_terrain_dim+2.0);float d=1.0/(u_terrain_dim+2.0);float tl=ele(c);float tr=ele(c+vec2(d,0.0));float bl=ele(c+vec2(0.0,d));float br=ele(c+vec2(d,d));float elevation=mix(mix(tl,tr,f.x),mix(bl,br,f.x),f.y);return elevation*u_terrain_exaggeration;\\n#else\\nreturn 0.0;\\n#endif\\n}\"),background:ye(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),backgroundPattern:ye(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),circle:ye(\"varying vec3 v_data;varying float v_visibility;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=v_visibility*opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;varying float v_visibility;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);float ele=get_elevation(circle_center);v_visibility=calculate_visibility(u_matrix*vec4(circle_center,ele,1.0));if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,ele,1);} else {gl_Position=u_matrix*vec4(circle_center,ele,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),clippingMask:ye(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),heatmap:ye(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),heatmapTexture:ye(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),collisionBox:ye(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_anchor_pos;attribute vec2 a_placed;attribute vec2 a_box_real;uniform mat4 u_matrix;uniform vec2 u_pixel_extrude_scale;varying float v_placed;varying float v_notUsed;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}void main() {gl_Position=projectTileWithElevation(a_anchor_pos,get_elevation(a_anchor_pos));gl_Position.xy=((a_box_real+0.5)*u_pixel_extrude_scale*2.0-1.0)*vec2(1.0,-1.0)*gl_Position.w;if (gl_Position.z/gl_Position.w < 1.1) {gl_Position.z=0.5;}v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),collisionCircle:ye(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),debug:ye(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,get_elevation(a_pos),1);}\"),fill:ye(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),fillOutline:ye(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),fillOutlinePattern:ye(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),fillPattern:ye(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),fillExtrusion:ye(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\\n#ifdef TERRAIN3D\\nattribute vec2 a_centroid;\\n#endif\\nvarying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;\\n#ifdef TERRAIN3D\\nfloat height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\\n#else\\nfloat height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\\n#endif\\nbase=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),fillExtrusionPattern:ye(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\\n#ifdef TERRAIN3D\\nattribute vec2 a_centroid;\\n#endif\\nvarying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;\\n#ifdef TERRAIN3D\\nfloat height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\\n#else\\nfloat height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\\n#endif\\nbase=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),hillshadePrepare:ye(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hillshade:ye(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),line:ye(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\\n#endif\\nv_width2=vec2(outset,inset);}\"),lineGradient:ye(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\\n#endif\\nv_width2=vec2(outset,inset);}\"),linePattern:ye(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\\n#endif\\nv_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),lineSDF:ye(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\\n#endif\\nv_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),raster:ye(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),symbolIcon:ye(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_tex;varying float v_fade_opacity;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}gl_Position=finalPos;v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float visibility=calculate_visibility(projectedPoint);v_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));}\"),symbolSDF:ye(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float inner_edge=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);inner_edge=inner_edge+gamma*gamma_scale;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(inner_edge-gamma_scaled,inner_edge+gamma_scaled,dist);if (u_is_halo) {lowp float halo_edge=(6.0-halo_width/fontScale)/SDF_PX;alpha=min(smoothstep(halo_edge-gamma_scaled,halo_edge+gamma_scaled,dist),1.0-alpha);}gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_data0;varying vec3 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),symbolTextAndIcon:ye(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec4 v_data0;varying vec4 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\"),terrain:ye(\"uniform sampler2D u_texture;uniform vec4 u_fog_color;uniform vec4 u_horizon_color;uniform float u_fog_ground_blend;uniform float u_fog_ground_blend_opacity;uniform float u_horizon_fog_blend;varying vec2 v_texture_pos;varying float v_fog_depth;const float gamma=2.2;vec4 gammaToLinear(vec4 color) {return pow(color,vec4(gamma));}vec4 linearToGamma(vec4 color) {return pow(color,vec4(1.0/gamma));}void main() {vec4 surface_color=texture2D(u_texture,v_texture_pos);if (v_fog_depth > u_fog_ground_blend) {vec4 surface_color_linear=gammaToLinear(surface_color);float blend_color=smoothstep(0.0,1.0,max((v_fog_depth-u_horizon_fog_blend)/(1.0-u_horizon_fog_blend),0.0));vec4 fog_horizon_color_linear=mix(gammaToLinear(u_fog_color),gammaToLinear(u_horizon_color),blend_color);float factor_fog=max(v_fog_depth-u_fog_ground_blend,0.0)/(1.0-u_fog_ground_blend);gl_FragColor=linearToGamma(mix(surface_color_linear,fog_horizon_color_linear,pow(factor_fog,2.0)*u_fog_ground_blend_opacity));} else {gl_FragColor=surface_color;}}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform mat4 u_fog_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;varying float v_fog_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);vec4 pos=u_fog_matrix*vec4(a_pos3d.xy,ele,1.0);v_fog_depth=pos.z/pos.w*0.5+0.5;}\"),terrainDepth:ye(\"varying float v_depth;const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitMsk=vec4(0.,vec3(1./256.0));highp vec4 pack(highp float value) {highp vec4 comp=fract(value*bitSh);comp-=comp.xxyz*bitMsk;return comp;}void main() {gl_FragColor=pack(v_depth);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying float v_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);v_depth=gl_Position.z/gl_Position.w;}\"),terrainCoords:ye(\"precision mediump float;uniform sampler2D u_texture;uniform float u_terrain_coords_id;varying vec2 v_texture_pos;void main() {vec4 rgba=texture2D(u_texture,v_texture_pos);gl_FragColor=vec4(rgba.r,rgba.g,rgba.b,u_terrain_coords_id);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);}\"),sky:ye(\"uniform vec4 u_sky_color;uniform vec4 u_horizon_color;uniform float u_horizon;uniform float u_sky_horizon_blend;void main() {float y=gl_FragCoord.y;if (y > u_horizon) {float blend=y-u_horizon;if (blend < u_sky_horizon_blend) {gl_FragColor=mix(u_sky_color,u_horizon_color,pow(1.0-blend/u_sky_horizon_blend,2.0));} else {gl_FragColor=u_sky_color;}}}\",\"attribute vec2 a_pos;void main() {gl_Position=vec4(a_pos,1.0,1.0);}\")};function ye(t,e){const r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return {fragmentSource:t=t.replace(r,((t,e,r,n,i)=>(s[i]=true,\"define\"===e?`\\n#ifndef HAS_UNIFORM_u_${i}\\nvarying ${r} ${n} ${i};\\n#else\\nuniform ${r} ${n} u_${i};\\n#endif\\n`:`\\n#ifdef HAS_UNIFORM_u_${i}\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`))),vertexSource:e=e.replace(r,((t,e,r,n,i)=>{const a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?`\\n#ifndef HAS_UNIFORM_u_${i}\\nuniform lowp float u_${i}_t;\\nattribute ${r} ${a} a_${i};\\nvarying ${r} ${n} ${i};\\n#else\\nuniform ${r} ${n} u_${i};\\n#endif\\n`:\"vec4\"===o?`\\n#ifndef HAS_UNIFORM_u_${i}\\n    ${i} = a_${i};\\n#else\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`:`\\n#ifndef HAS_UNIFORM_u_${i}\\n    ${i} = unpack_mix_${o}(a_${i}, u_${i}_t);\\n#else\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`:\"define\"===e?`\\n#ifndef HAS_UNIFORM_u_${i}\\nuniform lowp float u_${i}_t;\\nattribute ${r} ${a} a_${i};\\n#else\\nuniform ${r} ${n} u_${i};\\n#endif\\n`:\"vec4\"===o?`\\n#ifndef HAS_UNIFORM_u_${i}\\n    ${r} ${n} ${i} = a_${i};\\n#else\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`:`\\n#ifndef HAS_UNIFORM_u_${i}\\n    ${r} ${n} ${i} = unpack_mix_${o}(a_${i}, u_${i}_t);\\n#else\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`})),staticAttributes:n,staticUniforms:o}}class ve{constructor(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null;}bind(t,e,r,n,i,a,o,s,l){this.context=t;let c=this.boundPaintVertexBuffers.length!==n.length;for(let t=0;!c&&t<n.length;t++)this.boundPaintVertexBuffers[t]!==n[t]&&(c=true);!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||c||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s||this.boundDynamicVertexBuffer3!==l?this.freshBind(e,r,n,i,a,o,s,l):(t.bindVertexArray.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind(),l&&l.bind());}freshBind(t,e,r,n,i,a,o,s){const l=t.numAttributes,c=this.context,u=c.gl;this.vao&&this.destroy(),this.vao=c.createVertexArray(),c.bindVertexArray.set(this.vao),this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o,this.boundDynamicVertexBuffer3=s,e.enableAttributes(u,t);for(const e of r)e.enableAttributes(u,t);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),s&&s.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(const e of r)e.bind(),e.setVertexAttribPointers(u,t,i);a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),s&&(s.bind(),s.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l;}destroy(){this.vao&&(this.context.deleteVertexArray(this.vao),this.vao=null);}}const xe=(t,r,n,i,a)=>({u_matrix:t,u_texture:0,u_ele_delta:r,u_fog_matrix:n,u_fog_color:i?i.properties.get(\"fog-color\"):e.aN.white,u_fog_ground_blend:i?i.properties.get(\"fog-ground-blend\"):1,u_fog_ground_blend_opacity:i?i.calculateFogBlendOpacity(a):0,u_horizon_color:i?i.properties.get(\"horizon-color\"):e.aN.white,u_horizon_fog_blend:i?i.properties.get(\"horizon-fog-blend\"):1});function _e(t){const e=[];for(let r=0;r<t.length;r++){if(null===t[r])continue;const n=t[r].split(\" \");e.push(n.pop());}return e}class be{constructor(t,r,n,i,a,o){const s=t.gl;this.program=s.createProgram();const l=_e(r.staticAttributes),c=n?n.getBinderAttributes():[],u=l.concat(c),h=ge.prelude.staticUniforms?_e(ge.prelude.staticUniforms):[],f=r.staticUniforms?_e(r.staticUniforms):[],p=n?n.getBinderUniforms():[],d=h.concat(f).concat(p),m=[];for(const t of d)m.indexOf(t)<0&&m.push(t);const g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\"),o&&g.push(\"#define TERRAIN3D;\");const 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this.fixedUniforms)this.fixedUniforms[t].set(o[t]);d&&d.setUniforms(t,this.binderUniforms,f,{zoom:p});let x=0;switch(e){case v.LINES:x=2;break;case v.TRIANGLES:x=3;break;case v.LINE_STRIP:x=1;}for(const r of h.get()){const n=r.vaos||(r.vaos={});(n[l]||(n[l]=new ve)).bind(t,this,c,d?d.getPaintVertexBuffers():[],u,r.vertexOffset,m,g,y),v.drawElements(e,r.primitiveLength*x,v.UNSIGNED_SHORT,r.primitiveOffset*x*2);}}}function we(t,e,r){const n=1/Nt(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return {u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}const Te=(t,r,n,i)=>{const a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=function(){var t=new e.A(9);return e.A!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t}();\"viewport\"===a.properties.get(\"anchor\")&&function(t,e){var r=Math.sin(e),n=Math.cos(e);t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1;}(l,-r.transform.angle),function(t,e,r){var n=e[0],i=e[1],a=e[2];t[0]=n*r[0]+i*r[3]+a*r[6],t[1]=n*r[1]+i*r[4]+a*r[7],t[2]=n*r[2]+i*r[5]+a*r[8];}(s,s,l);const c=a.properties.get(\"color\");return {u_matrix:t,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},ke=(t,r,n,i,a,o,s)=>e.e(Te(t,r,n,i),we(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8}),Ae=t=>({u_matrix:t}),Me=(t,r,n,i)=>e.e(Ae(t),we(n,r,i)),Se=(t,e)=>({u_matrix:t,u_world:e}),Ee=(t,r,n,i,a)=>e.e(Me(t,r,n,i),{u_world:a}),Ce=(t,e,r,n)=>{const i=t.transform;let a,o;if(\"map\"===n.paint.get(\"circle-pitch-alignment\")){const t=Nt(r,1,i.zoom);a=true,o=[t,t];}else a=false,o=i.pixelsToGLUnits;return {u_camera_to_center_distance:i.cameraToCenterDistance,u_scale_with_map:+(\"map\"===n.paint.get(\"circle-pitch-scale\")),u_matrix:t.translatePosMatrix(e.posMatrix,r,n.paint.get(\"circle-translate\"),n.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.pixelRatio,u_extrude_scale:o}},Le=(t,e)=>({u_matrix:e,u_pixel_extrude_scale:[1/t.width,1/t.height]}),Ie=(t,e,r)=>({u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}),Pe=(t,e,r=1)=>({u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}),ze=t=>({u_matrix:t}),Oe=(t,e,r,n)=>({u_matrix:t,u_extrude_scale:Nt(e,1,r),u_intensity:n}),De=(t,r,n,i)=>{const a=e.H();e.aQ(a,0,t.width,t.height,0,0,1);const o=t.context.gl;return {u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},Re=(t,e,r,n)=>{const i=r.paint.get(\"hillshade-shadow-color\"),a=r.paint.get(\"hillshade-highlight-color\"),o=r.paint.get(\"hillshade-accent-color\");let s=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(s-=t.transform.angle);const l=!t.options.moving;return {u_matrix:n?n.posMatrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),l),u_image:0,u_latrange:Be(0,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Fe=(t,r)=>{const n=r.stride,i=e.H();return e.aQ(i,0,e.X,-e.X,0,0,1),e.J(i,i,[0,-e.X,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:t.overscaledZ,u_unpack:r.getUnpackVector()}};function Be(t,r){const n=Math.pow(2,r.canonical.z),i=r.canonical.y;return [new e.Z(0,i/n).toLngLat().lat,new e.Z(0,(i+1)/n).toLngLat().lat]}const Ne=(t,e,r,n)=>{const i=t.transform;return {u_matrix:He(t,e,r,n),u_ratio:1/Nt(e,1,i.zoom),u_device_pixel_ratio:t.pixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},je=(t,r,n,i,a)=>e.e(Ne(t,r,n,a),{u_image:0,u_image_height:i}),Ue=(t,e,r,n,i)=>{const a=t.transform,o=qe(e,a);return {u_matrix:He(t,e,r,i),u_texsize:e.imageAtlasTexture.size,u_ratio:1/Nt(e,1,a.zoom),u_device_pixel_ratio:t.pixelRatio,u_image:0,u_scale:[o,n.fromScale,n.toScale],u_fade:n.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Ve=(t,r,n,i,a,o)=>{const s=t.transform,l=t.lineAtlas,c=qe(r,s),u=\"round\"===n.layout.get(\"line-cap\"),h=l.getDash(i.from,u),f=l.getDash(i.to,u),p=h.width*a.fromScale,d=f.width*a.toScale;return e.e(Ne(t,r,n,o),{u_patternscale_a:[c/p,-h.height/2],u_patternscale_b:[c/d,-f.height/2],u_sdfgamma:l.width/(256*Math.min(p,d)*t.pixelRatio)/2,u_image:0,u_tex_y_a:h.y,u_tex_y_b:f.y,u_mix:a.t})};function qe(t,e){return 1/Nt(t,1,e.tileZoom)}function He(t,e,r,n){return t.translatePosMatrix(n?n.posMatrix:e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}const Ge=(t,e,r,n,i)=>{return {u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Ze(i.paint.get(\"raster-hue-rotate\"))};var a,o;};function Ze(t){t*=Math.PI/180;const e=Math.sin(t),r=Math.cos(t);return [(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}const We=(t,e,r,n,i,a,o,s,l,c,u,h,f,p)=>{const d=o.transform;return {u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:d.cameraToCenterDistance,u_pitch:d.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:d.width/d.height,u_fade_change:o.options.fadeDuration?o.symbolFadeChange:1,u_matrix:s,u_label_plane_matrix:l,u_coord_matrix:c,u_is_text:+h,u_pitch_with_map:+n,u_is_along_line:i,u_is_variable_anchor:a,u_texsize:f,u_texture:0,u_translation:u,u_pitched_scale:p}},Ye=(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m)=>{const g=s.transform;return e.e(We(t,r,n,i,a,o,s,l,c,u,h,f,p,m),{u_gamma_scale:i?Math.cos(g._pitch)*g.cameraToCenterDistance:1,u_device_pixel_ratio:s.pixelRatio,u_is_halo:1})},Xe=(t,r,n,i,a,o,s,l,c,u,h,f,p,d)=>e.e(Ye(t,r,n,i,a,o,s,l,c,u,h,true,f,true,d),{u_texsize_icon:p,u_texture_icon:1}),$e=(t,e,r)=>({u_matrix:t,u_opacity:e,u_color:r}),Je=(t,r,n,i,a,o)=>e.e(function(t,e,r,n){const i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),{width:o,height:s}=r.imageManager.getPixelSize(),l=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/l,u=c*(n.tileID.canonical.x+n.tileID.wrap*l),h=c*n.tileID.canonical.y;return {u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[o,s],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/Nt(n,1,r.transform.tileZoom),u_pixel_coord_upper:[u>>16,h>>16],u_pixel_coord_lower:[65535&u,65535&h]}}(i,o,n,a),{u_matrix:t,u_opacity:r}),Ke={fillExtrusion:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_lightpos:new e.aO(t,r.u_lightpos),u_lightintensity:new e.aJ(t,r.u_lightintensity),u_lightcolor:new e.aO(t,r.u_lightcolor),u_vertical_gradient:new e.aJ(t,r.u_vertical_gradient),u_opacity:new e.aJ(t,r.u_opacity)}),fillExtrusionPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_lightpos:new e.aO(t,r.u_lightpos),u_lightintensity:new e.aJ(t,r.u_lightintensity),u_lightcolor:new e.aO(t,r.u_lightcolor),u_vertical_gradient:new e.aJ(t,r.u_vertical_gradient),u_height_factor:new e.aJ(t,r.u_height_factor),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade),u_opacity:new e.aJ(t,r.u_opacity)}),fill:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix)}),fillPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),fillOutline:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world)}),fillOutlinePattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),circle:(t,r)=>({u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_scale_with_map:new e.aI(t,r.u_scale_with_map),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_extrude_scale:new e.aP(t,r.u_extrude_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_matrix:new e.aK(t,r.u_matrix)}),collisionBox:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_pixel_extrude_scale:new e.aP(t,r.u_pixel_extrude_scale)}),collisionCircle:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_inv_matrix:new e.aK(t,r.u_inv_matrix),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_viewport_size:new e.aP(t,r.u_viewport_size)}),debug:(t,r)=>({u_color:new e.aM(t,r.u_color),u_matrix:new e.aK(t,r.u_matrix),u_overlay:new e.aI(t,r.u_overlay),u_overlay_scale:new e.aJ(t,r.u_overlay_scale)}),clippingMask:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix)}),heatmap:(t,r)=>({u_extrude_scale:new e.aJ(t,r.u_extrude_scale),u_intensity:new e.aJ(t,r.u_intensity),u_matrix:new e.aK(t,r.u_matrix)}),heatmapTexture:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world),u_image:new e.aI(t,r.u_image),u_color_ramp:new e.aI(t,r.u_color_ramp),u_opacity:new e.aJ(t,r.u_opacity)}),hillshade:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_latrange:new e.aP(t,r.u_latrange),u_light:new e.aP(t,r.u_light),u_shadow:new e.aM(t,r.u_shadow),u_highlight:new e.aM(t,r.u_highlight),u_accent:new e.aM(t,r.u_accent)}),hillshadePrepare:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_dimension:new e.aP(t,r.u_dimension),u_zoom:new e.aJ(t,r.u_zoom),u_unpack:new e.aL(t,r.u_unpack)}),line:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels)}),lineGradient:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_image:new e.aI(t,r.u_image),u_image_height:new e.aJ(t,r.u_image_height)}),linePattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texsize:new e.aP(t,r.u_texsize),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_image:new e.aI(t,r.u_image),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),lineSDF:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_patternscale_a:new e.aP(t,r.u_patternscale_a),u_patternscale_b:new e.aP(t,r.u_patternscale_b),u_sdfgamma:new e.aJ(t,r.u_sdfgamma),u_image:new e.aI(t,r.u_image),u_tex_y_a:new e.aJ(t,r.u_tex_y_a),u_tex_y_b:new e.aJ(t,r.u_tex_y_b),u_mix:new e.aJ(t,r.u_mix)}),raster:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_tl_parent:new e.aP(t,r.u_tl_parent),u_scale_parent:new e.aJ(t,r.u_scale_parent),u_buffer_scale:new e.aJ(t,r.u_buffer_scale),u_fade_t:new e.aJ(t,r.u_fade_t),u_opacity:new e.aJ(t,r.u_opacity),u_image0:new e.aI(t,r.u_image0),u_image1:new e.aI(t,r.u_image1),u_brightness_low:new e.aJ(t,r.u_brightness_low),u_brightness_high:new e.aJ(t,r.u_brightness_high),u_saturation_factor:new e.aJ(t,r.u_saturation_factor),u_contrast_factor:new e.aJ(t,r.u_contrast_factor),u_spin_weights:new e.aO(t,r.u_spin_weights)}),symbolIcon:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texture:new e.aI(t,r.u_texture),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),symbolSDF:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texture:new e.aI(t,r.u_texture),u_gamma_scale:new e.aJ(t,r.u_gamma_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_is_halo:new e.aI(t,r.u_is_halo),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),symbolTextAndIcon:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texsize_icon:new e.aP(t,r.u_texsize_icon),u_texture:new e.aI(t,r.u_texture),u_texture_icon:new e.aI(t,r.u_texture_icon),u_gamma_scale:new e.aJ(t,r.u_gamma_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_is_halo:new e.aI(t,r.u_is_halo),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),background:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_opacity:new e.aJ(t,r.u_opacity),u_color:new e.aM(t,r.u_color)}),backgroundPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_opacity:new e.aJ(t,r.u_opacity),u_image:new e.aI(t,r.u_image),u_pattern_tl_a:new e.aP(t,r.u_pattern_tl_a),u_pattern_br_a:new e.aP(t,r.u_pattern_br_a),u_pattern_tl_b:new e.aP(t,r.u_pattern_tl_b),u_pattern_br_b:new e.aP(t,r.u_pattern_br_b),u_texsize:new e.aP(t,r.u_texsize),u_mix:new e.aJ(t,r.u_mix),u_pattern_size_a:new e.aP(t,r.u_pattern_size_a),u_pattern_size_b:new e.aP(t,r.u_pattern_size_b),u_scale_a:new e.aJ(t,r.u_scale_a),u_scale_b:new e.aJ(t,r.u_scale_b),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_tile_units_to_pixels:new e.aJ(t,r.u_tile_units_to_pixels)}),terrain:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texture:new e.aI(t,r.u_texture),u_ele_delta:new e.aJ(t,r.u_ele_delta),u_fog_matrix:new e.aK(t,r.u_fog_matrix),u_fog_color:new e.aM(t,r.u_fog_color),u_fog_ground_blend:new e.aJ(t,r.u_fog_ground_blend),u_fog_ground_blend_opacity:new e.aJ(t,r.u_fog_ground_blend_opacity),u_horizon_color:new e.aM(t,r.u_horizon_color),u_horizon_fog_blend:new e.aJ(t,r.u_horizon_fog_blend)}),terrainDepth:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ele_delta:new e.aJ(t,r.u_ele_delta)}),terrainCoords:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texture:new e.aI(t,r.u_texture),u_terrain_coords_id:new e.aJ(t,r.u_terrain_coords_id),u_ele_delta:new e.aJ(t,r.u_ele_delta)}),sky:(t,r)=>({u_sky_color:new e.aM(t,r.u_sky_color),u_horizon_color:new e.aM(t,r.u_horizon_color),u_horizon:new e.aJ(t,r.u_horizon),u_sky_horizon_blend:new e.aJ(t,r.u_sky_horizon_blend)})};class Qe{constructor(t,e,r){this.context=t;const n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer;}bind(){this.context.bindElementBuffer.set(this.buffer);}updateData(t){const e=this.context.gl;if(!this.dynamicDraw)throw new Error(\"Attempted to update data while not in dynamic mode.\");this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer);}destroy(){const t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer);}}const tr={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"};class er{constructor(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;const i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer;}bind(){this.context.bindVertexBuffer.set(this.buffer);}updateData(t){if(t.length!==this.length)throw new Error(`Length of new data is ${t.length}, which doesn't match current length of ${this.length}`);const e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer);}enableAttributes(t,e){for(let r=0;r<this.attributes.length;r++){const n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i);}}setVertexAttribPointers(t,e,r){for(let n=0;n<this.attributes.length;n++){const i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[tr[i.type]],false,this.itemSize,i.offset+this.itemSize*(r||0));}}destroy(){const t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer);}}const rr=new WeakMap;function nr(t){var e;if(rr.has(t))return rr.get(t);{const r=null===(e=t.getParameter(t.VERSION))||void 0===e?void 0:e.startsWith(\"WebGL 2.0\");return rr.set(t,r),r}}class ir{constructor(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=false;}get(){return this.current}set(t){}getDefault(){return this.default}setDefault(){this.set(this.default);}}class ar extends ir{getDefault(){return e.aN.transparent}set(t){const e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=false);}}class or extends ir{getDefault(){return 1}set(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=false);}}class sr extends ir{getDefault(){return 0}set(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=false);}}class lr extends ir{getDefault(){return [true,true,true,true]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=false);}}class cr extends ir{getDefault(){return  true}set(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=false);}}class ur extends ir{getDefault(){return 255}set(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=false);}}class hr extends ir{getDefault(){return {func:this.gl.ALWAYS,ref:0,mask:255}}set(t){const e=this.current;(t.func!==e.func||t.ref!==e.ref||t.mask!==e.mask||this.dirty)&&(this.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t,this.dirty=false);}}class fr extends ir{getDefault(){const t=this.gl;return [t.KEEP,t.KEEP,t.KEEP]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||this.dirty)&&(this.gl.stencilOp(t[0],t[1],t[2]),this.current=t,this.dirty=false);}}class pr extends ir{getDefault(){return  false}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=false;}}class dr extends ir{getDefault(){return [0,1]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.depthRange(t[0],t[1]),this.current=t,this.dirty=false);}}class mr extends ir{getDefault(){return  false}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t,this.dirty=false;}}class gr extends ir{getDefault(){return this.gl.LESS}set(t){(t!==this.current||this.dirty)&&(this.gl.depthFunc(t),this.current=t,this.dirty=false);}}class yr extends ir{getDefault(){return  false}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.BLEND):e.disable(e.BLEND),this.current=t,this.dirty=false;}}class vr extends ir{getDefault(){const t=this.gl;return [t.ONE,t.ZERO]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=false);}}class xr extends ir{getDefault(){return e.aN.transparent}set(t){const e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=false);}}class _r extends ir{getDefault(){return this.gl.FUNC_ADD}set(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=false);}}class br extends ir{getDefault(){return  false}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=false;}}class wr extends ir{getDefault(){return this.gl.BACK}set(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=false);}}class Tr extends ir{getDefault(){return this.gl.CCW}set(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=false);}}class kr extends ir{getDefault(){return null}set(t){(t!==this.current||this.dirty)&&(this.gl.useProgram(t),this.current=t,this.dirty=false);}}class Ar extends ir{getDefault(){return this.gl.TEXTURE0}set(t){(t!==this.current||this.dirty)&&(this.gl.activeTexture(t),this.current=t,this.dirty=false);}}class Mr extends ir{getDefault(){const t=this.gl;return [0,0,t.drawingBufferWidth,t.drawingBufferHeight]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=false);}}class Sr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=false;}}class Er extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=false;}}class Cr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=false;}}class Lr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=false;}}class Ir extends ir{getDefault(){return null}set(t){const e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=false;}}class Pr extends ir{getDefault(){return null}set(t){var e;if(t===this.current&&!this.dirty)return;const r=this.gl;nr(r)?r.bindVertexArray(t):null===(e=r.getExtension(\"OES_vertex_array_object\"))||void 0===e||e.bindVertexArrayOES(t),this.current=t,this.dirty=false;}}class zr extends ir{getDefault(){return 4}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=false;}}class Or extends ir{getDefault(){return  false}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=false;}}class Dr extends ir{getDefault(){return  false}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=false;}}class Rr extends ir{constructor(t,e){super(t),this.context=t,this.parent=e;}getDefault(){return null}}class Fr extends Rr{setDirty(){this.dirty=true;}set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=false;}}class Br extends Rr{set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=false;}}class Nr extends Rr{set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_STENCIL_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=false;}}class jr{constructor(t,e,r,n,i){this.context=t,this.width=e,this.height=r;const a=t.gl,o=this.framebuffer=a.createFramebuffer();if(this.colorAttachment=new Fr(t,o),n)this.depthAttachment=i?new Nr(t,o):new Br(t,o);else if(i)throw new Error(\"Stencil cannot be set without depth\");if(a.checkFramebufferStatus(a.FRAMEBUFFER)!==a.FRAMEBUFFER_COMPLETE)throw new Error(\"Framebuffer is not complete\")}destroy(){const t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){const e=this.depthAttachment.get();e&&t.deleteRenderbuffer(e);}t.deleteFramebuffer(this.framebuffer);}}class Ur{constructor(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r;}}Ur.Replace=[1,0],Ur.disabled=new Ur(Ur.Replace,e.aN.transparent,[false,false,false,false]),Ur.unblended=new Ur(Ur.Replace,e.aN.transparent,[true,true,true,true]),Ur.alphaBlended=new Ur([1,771],e.aN.transparent,[true,true,true,true]);class Vr{constructor(t){var e,r;if(this.gl=t,this.clearColor=new ar(this),this.clearDepth=new or(this),this.clearStencil=new sr(this),this.colorMask=new lr(this),this.depthMask=new cr(this),this.stencilMask=new ur(this),this.stencilFunc=new hr(this),this.stencilOp=new fr(this),this.stencilTest=new pr(this),this.depthRange=new dr(this),this.depthTest=new mr(this),this.depthFunc=new gr(this),this.blend=new yr(this),this.blendFunc=new vr(this),this.blendColor=new xr(this),this.blendEquation=new _r(this),this.cullFace=new br(this),this.cullFaceSide=new wr(this),this.frontFace=new Tr(this),this.program=new kr(this),this.activeTexture=new Ar(this),this.viewport=new Mr(this),this.bindFramebuffer=new Sr(this),this.bindRenderbuffer=new Er(this),this.bindTexture=new Cr(this),this.bindVertexBuffer=new Lr(this),this.bindElementBuffer=new Ir(this),this.bindVertexArray=new Pr(this),this.pixelStoreUnpack=new zr(this),this.pixelStoreUnpackPremultiplyAlpha=new Or(this),this.pixelStoreUnpackFlipY=new Dr(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE),nr(t)){this.HALF_FLOAT=t.HALF_FLOAT;const n=t.getExtension(\"EXT_color_buffer_half_float\");this.RGBA16F=null!==(e=t.RGBA16F)&&void 0!==e?e:null==n?void 0:n.RGBA16F_EXT,this.RGB16F=null!==(r=t.RGB16F)&&void 0!==r?r:null==n?void 0:n.RGB16F_EXT,t.getExtension(\"EXT_color_buffer_float\");}else {t.getExtension(\"EXT_color_buffer_half_float\"),t.getExtension(\"OES_texture_half_float_linear\");const e=t.getExtension(\"OES_texture_half_float\");this.HALF_FLOAT=null==e?void 0:e.HALF_FLOAT_OES;}}setDefault(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault();}setDirty(){this.clearColor.dirty=true,this.clearDepth.dirty=true,this.clearStencil.dirty=true,this.colorMask.dirty=true,this.depthMask.dirty=true,this.stencilMask.dirty=true,this.stencilFunc.dirty=true,this.stencilOp.dirty=true,this.stencilTest.dirty=true,this.depthRange.dirty=true,this.depthTest.dirty=true,this.depthFunc.dirty=true,this.blend.dirty=true,this.blendFunc.dirty=true,this.blendColor.dirty=true,this.blendEquation.dirty=true,this.cullFace.dirty=true,this.cullFaceSide.dirty=true,this.frontFace.dirty=true,this.program.dirty=true,this.activeTexture.dirty=true,this.viewport.dirty=true,this.bindFramebuffer.dirty=true,this.bindRenderbuffer.dirty=true,this.bindTexture.dirty=true,this.bindVertexBuffer.dirty=true,this.bindElementBuffer.dirty=true,this.bindVertexArray.dirty=true,this.pixelStoreUnpack.dirty=true,this.pixelStoreUnpackPremultiplyAlpha.dirty=true,this.pixelStoreUnpackFlipY.dirty=true;}createIndexBuffer(t,e){return new Qe(this,t,e)}createVertexBuffer(t,e,r){return new er(this,t,e,r)}createRenderbuffer(t,e,r){const n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i}createFramebuffer(t,e,r,n){return new jr(this,t,e,r,n)}clear({color:t,depth:e,stencil:r}){const n=this.gl;let i=0;t&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(t),this.colorMask.set([true,true,true,true])),void 0!==e&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(e),this.depthMask.set(true)),void 0!==r&&(i|=n.STENCIL_BUFFER_BIT,this.clearStencil.set(r),this.stencilMask.set(255)),n.clear(i);}setCullFace(t){ false===t.enable?this.cullFace.set(false):(this.cullFace.set(true),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace));}setDepthMode(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(true),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(false);}setStencilMode(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(true),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(false);}setColorMode(t){e.aF(t.blendFunction,Ur.Replace)?this.blend.set(false):(this.blend.set(true),this.blendFunc.set(t.blendFunction),this.blendColor.set(t.blendColor)),this.colorMask.set(t.mask);}createVertexArray(){var t;return nr(this.gl)?this.gl.createVertexArray():null===(t=this.gl.getExtension(\"OES_vertex_array_object\"))||void 0===t?void 0:t.createVertexArrayOES()}deleteVertexArray(t){var e;return nr(this.gl)?this.gl.deleteVertexArray(t):null===(e=this.gl.getExtension(\"OES_vertex_array_object\"))||void 0===e?void 0:e.deleteVertexArrayOES(t)}unbindVAO(){this.bindVertexArray.set(null);}}class qr{constructor(t,e,r){this.func=t,this.mask=e,this.range=r;}}qr.ReadOnly=false,qr.ReadWrite=true,qr.disabled=new qr(519,qr.ReadOnly,[0,1]);const Hr=7680;class Gr{constructor(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a;}}Gr.disabled=new Gr({func:519,mask:0},0,0,Hr,Hr,Hr);class Zr{constructor(t,e,r){this.enable=t,this.mode=e,this.frontFace=r;}}let Wr;function Yr(t,r,n,i,a){const o=t.context,s=o.gl,l=t.useProgram(\"collisionBox\"),c=[];let u=0,h=0;for(let f=0;f<i.length;f++){const p=i[f],d=r.getTile(p).getBucket(n);if(!d)continue;const m=a?d.textCollisionBox:d.iconCollisionBox,g=d.collisionCircleArray;if(g.length>0){const r=e.H();e.aR(r,d.placementInvProjMatrix,t.transform.glCoordMatrix),e.aR(r,r,d.placementViewportMatrix),c.push({circleArray:g,circleOffset:h,transform:p.posMatrix,invTransform:r,coord:p}),u+=g.length/4,h=u;}m&&l.draw(o,s.LINES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,Le(t.transform,p.posMatrix),t.style.map.terrain&&t.style.map.terrain.getTerrainData(p),n.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,null,t.transform.zoom,null,null,m.collisionVertexBuffer);}if(!a||!c.length)return;const f=t.useProgram(\"collisionCircle\"),p=new e.aS;p.resize(4*u),p._trim();let d=0;for(const t of c)for(let e=0;e<t.circleArray.length/4;e++){const r=4*e,n=t.circleArray[r+0],i=t.circleArray[r+1],a=t.circleArray[r+2],o=t.circleArray[r+3];p.emplace(d++,n,i,a,o,0),p.emplace(d++,n,i,a,o,1),p.emplace(d++,n,i,a,o,2),p.emplace(d++,n,i,a,o,3);}(!Wr||Wr.length<2*u)&&(Wr=function(t){const r=2*t,n=new e.aU;n.resize(r),n._trim();for(let t=0;t<r;t++){const e=6*t;n.uint16[e+0]=4*t+0,n.uint16[e+1]=4*t+1,n.uint16[e+2]=4*t+2,n.uint16[e+3]=4*t+2,n.uint16[e+4]=4*t+3,n.uint16[e+5]=4*t+0;}return n}(u));const m=o.createIndexBuffer(Wr,true),g=o.createVertexBuffer(p,e.aT.members,true);for(const r of c){const i=Ie(r.transform,r.invTransform,t.transform);f.draw(o,s.TRIANGLES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,i,t.style.map.terrain&&t.style.map.terrain.getTerrainData(r.coord),n.id,g,m,e.a0.simpleSegment(0,2*r.circleOffset,r.circleArray.length,r.circleArray.length/2),null,t.transform.zoom,null,null,null);}g.destroy(),m.destroy();}Zr.disabled=new Zr(false,1029,2305),Zr.backCCW=new Zr(true,1029,2305);const Xr=e.ao(new Float32Array(16));function $r(t,r,n,i,a){if(\"translucent\"!==t.renderPass)return;const o=Gr.disabled,s=t.colorModeForRenderPass();(n._unevaluatedLayout.hasValue(\"text-variable-anchor\")||n._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"))&&function(t,r,n,i,a,o,s,l,c){const u=r.transform,h=ie(),f=\"map\"===a,p=\"map\"===o;for(const a of t){const t=i.getTile(a),o=t.getBucket(n);if(!o||!o.text||!o.text.segments.get().length)continue;const d=o.textSizeData,m=e.ah(d,u.zoom),g=Nt(t,1,r.transform.zoom),y=_t(a.posMatrix,p,f,r.transform,g),v=\"none\"!==n.layout.get(\"icon-text-fit\")&&o.hasIconData();if(m){const e=Math.pow(2,u.zoom-t.tileID.overscaledZ),n=r.style.map.terrain?(t,e)=>r.style.map.terrain.getElevation(a,t,e):null,i=h.translatePosition(u,t,s,l);Qr(o,f,p,c,u,y,a.posMatrix,e,m,v,h,i,a.toUnwrapped(),n);}}}(i,t,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&en(t,r,n,i,false,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&en(t,r,n,i,true,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Yr(t,r,n,i,true),Yr(t,r,n,i,false));}function Jr(t,r,n,i,a,o){const{horizontalAlign:s,verticalAlign:l}=e.av(t),c=-(s-.5)*r,u=-(l-.5)*n;return new e.P((c/a+i[0])*o,(u/a+i[1])*o)}function Kr(t,r,n,i,a,o){const s=r.tileAnchorPoint.add(new e.P(r.translation[0],r.translation[1]));if(r.pitchWithMap){let t=i.mult(o);return n||(t=t.rotate(-a)),wt(s.add(t),r.labelPlaneMatrix,r.getElevation).point}if(n){const e=It(r.tileAnchorPoint.x+1,r.tileAnchorPoint.y,r).point.sub(t),n=Math.atan(e.y/e.x)+(e.x<0?Math.PI:0);return t.add(i.rotate(n))}return t.add(i)}function Qr(t,r,n,i,a,o,s,l,c,u,h,f,p,d){const m=t.text.placedSymbolArray,g=t.text.dynamicLayoutVertexArray,y=t.icon.dynamicLayoutVertexArray,v={};g.clear();for(let y=0;y<m.length;y++){const x=m.get(y),_=t.allowVerticalPlacement&&!x.placedOrientation,b=x.hidden||!x.crossTileID||_?null:i[x.crossTileID];if(b){const i=new e.P(x.anchorX,x.anchorY),m={getElevation:d,width:a.width,height:a.height,labelPlaneMatrix:o,pitchWithMap:n,projection:h,tileAnchorPoint:i,translation:f,unwrappedTileID:p},y=n?wt(i,s,d):It(i.x,i.y,m),_=Tt(a.cameraToCenterDistance,y.signedDistanceFromCamera);let w=e.aj(t.textSizeData,c,x)*_/e.aq;n&&(w*=t.tilePixelRatio/l);const{width:T,height:k,anchor:A,textOffset:M,textBoxScale:S}=b,E=Jr(A,T,k,M,S,w),C=h.getPitchedTextCorrection(a,i.add(new e.P(f[0],f[1])),p),L=Kr(y.point,m,r,E,a.angle,C),I=t.allowVerticalPlacement&&x.placedOrientation===e.ai.vertical?Math.PI/2:0;for(let t=0;t<x.numGlyphs;t++)e.ak(g,L,I);u&&x.associatedIconIndex>=0&&(v[x.associatedIconIndex]={shiftedAnchor:L,angle:I});}else Rt(x.numGlyphs,g);}if(u){y.clear();const r=t.icon.placedSymbolArray;for(let t=0;t<r.length;t++){const n=r.get(t);if(n.hidden)Rt(n.numGlyphs,y);else {const r=v[t];if(r)for(let t=0;t<n.numGlyphs;t++)e.ak(y,r.shiftedAnchor,r.angle);else Rt(n.numGlyphs,y);}}t.icon.dynamicLayoutVertexBuffer.updateData(y);}t.text.dynamicLayoutVertexBuffer.updateData(g);}function tn(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function en(t,r,n,i,a,o,s,l,c,u,h,f){const p=t.context,d=p.gl,m=t.transform,g=ie(),y=\"map\"===l,v=\"map\"===c,x=\"viewport\"!==l&&\"point\"!==n.layout.get(\"symbol-placement\"),_=y&&!v&&!x,b=!v&&x,w=!n.layout.get(\"symbol-sort-key\").isConstant();let T=false;const k=t.depthModeForSublayer(0,qr.ReadOnly),A=n._unevaluatedLayout.hasValue(\"text-variable-anchor\")||n._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),M=[],S=g.getCircleRadiusCorrection(m);for(const l of i){const i=r.getTile(l),c=i.getBucket(n);if(!c)continue;const h=a?c.text:c.icon;if(!h||!h.segments.get().length||!h.hasVisibleVertices)continue;const f=h.programConfigurations.get(n.id),p=a||c.sdfIcons,k=a?c.textSizeData:c.iconSizeData,E=v||0!==m.pitch,C=t.useProgram(tn(p,a,c),f),L=e.ah(k,m.zoom),I=t.style.map.terrain&&t.style.map.terrain.getTerrainData(l);let P,z,O,D,R=[0,0],F=null;if(a){if(z=i.glyphAtlasTexture,O=d.LINEAR,P=i.glyphAtlasTexture.size,c.iconsInText){R=i.imageAtlasTexture.size,F=i.imageAtlasTexture;const e=\"composite\"===k.kind||\"camera\"===k.kind;D=E||t.options.rotating||t.options.zooming||e?d.LINEAR:d.NEAREST;}}else {const e=1!==n.layout.get(\"icon-size\").constantOr(0)||c.iconsNeedLinear;z=i.imageAtlasTexture,O=p||t.options.rotating||t.options.zooming||e||E?d.LINEAR:d.NEAREST,P=i.imageAtlasTexture.size;}const B=Nt(i,1,t.transform.zoom),N=b?l.posMatrix:Xr,j=_t(N,v,y,t.transform,B),U=bt(N,v,y,t.transform,B),V=bt(l.posMatrix,v,y,t.transform,B),q=g.translatePosition(t.transform,i,o,s),H=A&&c.hasTextData(),G=\"none\"!==n.layout.get(\"icon-text-fit\")&&H&&c.hasIconData();if(x){const e=t.style.map.terrain?(e,r)=>t.style.map.terrain.getElevation(l,e,r):null,r=\"map\"===n.layout.get(\"text-rotation-alignment\");At(c,l.posMatrix,t,a,j,V,v,u,r,g,l.toUnwrapped(),m.width,m.height,q,e);}const Z=l.posMatrix,W=a&&A||G,Y=x||W?Xr:j,X=U,$=p&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1);let J;J=p?c.iconsInText?Xe(k.kind,L,_,v,x,W,t,Z,Y,X,q,P,R,S):Ye(k.kind,L,_,v,x,W,t,Z,Y,X,q,a,P,true,S):We(k.kind,L,_,v,x,W,t,Z,Y,X,q,a,P,S);const K={program:C,buffers:h,uniformValues:J,atlasTexture:z,atlasTextureIcon:F,atlasInterpolation:O,atlasInterpolationIcon:D,isSDF:p,hasHalo:$};if(w&&c.canOverlap){T=true;const t=h.segments.get();for(const r of t)M.push({segments:new e.a0([r]),sortKey:r.sortKey,state:K,terrainData:I});}else M.push({segments:h.segments,sortKey:0,state:K,terrainData:I});}T&&M.sort(((t,e)=>t.sortKey-e.sortKey));for(const e of M){const r=e.state;if(p.activeTexture.set(d.TEXTURE0),r.atlasTexture.bind(r.atlasInterpolation,d.CLAMP_TO_EDGE),r.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),r.atlasTextureIcon&&r.atlasTextureIcon.bind(r.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),r.isSDF){const i=r.uniformValues;r.hasHalo&&(i.u_is_halo=1,rn(r.buffers,e.segments,n,t,r.program,k,h,f,i,e.terrainData)),i.u_is_halo=0;}rn(r.buffers,e.segments,n,t,r.program,k,h,f,r.uniformValues,e.terrainData);}}function rn(t,e,r,n,i,a,o,s,l,c){const u=n.context,h=u.gl;i.draw(u,h.TRIANGLES,a,o,s,Zr.disabled,l,c,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer);}function nn(t,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===t.renderPass){const a=t.context,o=a.gl,s=Gr.disabled,l=new Ur([o.ONE,o.ONE],e.aN.transparent,[true,true,true,true]);((function(t,e,r){const n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);let i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else {const a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,false,false),function(t,e,r,n){var i,a;const o=t.gl,s=null!==(i=t.HALF_FLOAT)&&void 0!==i?i:o.UNSIGNED_BYTE,l=null!==(a=t.RGBA16F)&&void 0!==a?a:o.RGBA;o.texImage2D(o.TEXTURE_2D,0,l,e.width/4,e.height/4,0,o.RGBA,s,null),n.colorAttachment.set(r);}(t,e,a,i);}}))(a,t,n),a.clear({color:e.aN.transparent});for(let e=0;e<i.length;e++){const c=i[e];if(r.hasRenderableParent(c))continue;const u=r.getTile(c),h=u.getBucket(n);if(!h)continue;const f=h.programConfigurations.get(n.id),p=t.useProgram(\"heatmap\",f),{zoom:d}=t.transform;p.draw(a,o.TRIANGLES,qr.disabled,s,l,Zr.disabled,Oe(c.posMatrix,u,d,n.paint.get(\"heatmap-intensity\")),null,n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,t.transform.zoom,f);}a.viewport.set([0,0,t.width,t.height]);}else \"translucent\"===t.renderPass&&(t.context.setColorMode(t.colorModeForRenderPass()),function(t,e){const r=t.context,n=r.gl,i=e.heatmapFbo;if(!i)return;r.activeTexture.set(n.TEXTURE0),n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),r.activeTexture.set(n.TEXTURE1);let a=e.colorRampTexture;a||(a=e.colorRampTexture=new w(r,e.colorRamp,n.RGBA)),a.bind(n.LINEAR,n.CLAMP_TO_EDGE),t.useProgram(\"heatmapTexture\").draw(r,n.TRIANGLES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,De(t,e,0,1),null,e.id,t.viewportBuffer,t.quadTriangleIndexBuffer,t.viewportSegments,e.paint,t.transform.zoom);}(t,n));}function an(t,e,r,n,i){if(!r||!n||!n.imageAtlas)return;const a=n.imageAtlas.patternPositions;let o=a[r.to.toString()],s=a[r.from.toString()];if(!o&&s&&(o=s),!s&&o&&(s=o),!o||!s){const t=i.getPaintProperty(e);o=a[t],s=a[t];}o&&s&&t.setConstantPatternPositions(o,s);}function on(t,e,r,n,i,a,o){const s=t.context.gl,l=\"fill-pattern\",c=r.paint.get(l),u=c&&c.constantOr(1),h=r.getCrossfadeParameters();let f,p,d,m,g;o?(p=u&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",f=s.LINES):(p=u?\"fillPattern\":\"fill\",f=s.TRIANGLES);const y=c.constantOr(null);for(const c of n){const n=e.getTile(c);if(u&&!n.patternsLoaded())continue;const v=n.getBucket(r);if(!v)continue;const x=v.programConfigurations.get(r.id),_=t.useProgram(p,x),b=t.style.map.terrain&&t.style.map.terrain.getTerrainData(c);u&&(t.context.activeTexture.set(s.TEXTURE0),n.imageAtlasTexture.bind(s.LINEAR,s.CLAMP_TO_EDGE),x.updatePaintBuffers(h)),an(x,l,y,n,r);const w=b?c:null,T=w?w.posMatrix:c.posMatrix,k=t.translatePosMatrix(T,n,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){m=v.indexBuffer2,g=v.segments2;const e=[s.drawingBufferWidth,s.drawingBufferHeight];d=\"fillOutlinePattern\"===p&&u?Ee(k,t,h,n,e):Se(k,e);}else m=v.indexBuffer,g=v.segments,d=u?Me(k,t,h,n):Ae(k);_.draw(t.context,f,i,t.stencilModeForClipping(c),a,Zr.disabled,d,b,r.id,v.layoutVertexBuffer,m,g,r.paint,t.transform.zoom,x);}}function sn(t,e,r,n,i,a,o){const s=t.context,l=s.gl,c=\"fill-extrusion-pattern\",u=r.paint.get(c),h=u.constantOr(1),f=r.getCrossfadeParameters(),p=r.paint.get(\"fill-extrusion-opacity\"),d=u.constantOr(null);for(const u of n){const n=e.getTile(u),m=n.getBucket(r);if(!m)continue;const g=t.style.map.terrain&&t.style.map.terrain.getTerrainData(u),y=m.programConfigurations.get(r.id),v=t.useProgram(h?\"fillExtrusionPattern\":\"fillExtrusion\",y);h&&(t.context.activeTexture.set(l.TEXTURE0),n.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f)),an(y,c,d,n,r);const x=t.translatePosMatrix(u.posMatrix,n,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),_=r.paint.get(\"fill-extrusion-vertical-gradient\"),b=h?ke(x,t,_,p,u,f,n):Te(x,t,_,p);v.draw(s,s.gl.TRIANGLES,i,a,o,Zr.backCCW,b,g,r.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,r.paint,t.transform.zoom,y,t.style.map.terrain&&m.centroidVertexBuffer);}}function ln(t,e,r,n,i,a,o){const s=t.context,l=s.gl,c=r.fbo;if(!c)return;const u=t.useProgram(\"hillshade\"),h=t.style.map.terrain&&t.style.map.terrain.getTerrainData(e);s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,c.colorAttachment.get());const f=h?e:null;u.draw(s,l.TRIANGLES,i,a,o,Zr.disabled,Re(t,r,n,f),h,n.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments);}function cn(t,e,r,n,i,a){const o=t.context,s=o.gl,l=e.dem;if(l&&l.data){const c=l.dim,u=l.stride,h=l.getPixels();if(o.activeTexture.set(s.TEXTURE1),o.pixelStoreUnpackPremultiplyAlpha.set(false),e.demTexture=e.demTexture||t.getTileTexture(u),e.demTexture){const t=e.demTexture;t.update(h,{premultiply:false}),t.bind(s.NEAREST,s.CLAMP_TO_EDGE);}else e.demTexture=new w(o,h,s.RGBA,{premultiply:false}),e.demTexture.bind(s.NEAREST,s.CLAMP_TO_EDGE);o.activeTexture.set(s.TEXTURE0);let f=e.fbo;if(!f){const t=new w(o,{width:c,height:c,data:null},s.RGBA);t.bind(s.LINEAR,s.CLAMP_TO_EDGE),f=e.fbo=o.createFramebuffer(c,c,true,false),f.colorAttachment.set(t.texture);}o.bindFramebuffer.set(f.framebuffer),o.viewport.set([0,0,c,c]),t.useProgram(\"hillshadePrepare\").draw(o,s.TRIANGLES,n,i,a,Zr.disabled,Fe(e.tileID,l),null,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments),e.needsHillshadePrepare=false;}}function un(t,r,n,i,o,s){const l=i.paint.get(\"raster-fade-duration\");if(!s&&l>0){const i=a.now(),s=(i-t.timeAdded)/l,c=r?(i-r.timeAdded)/l:-1,u=n.getSource(),h=o.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(t.tileID.overscaledZ-h),p=f&&t.refreshedUponExpiration?1:e.ad(f?s:1-c,0,1);return t.refreshedUponExpiration&&s>=1&&(t.refreshedUponExpiration=false),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return {opacity:1,mix:0}}const hn=new e.aN(1,0,0,1),fn=new e.aN(0,1,0,1),pn=new e.aN(0,0,1,1),dn=new e.aN(1,0,1,1),mn=new e.aN(0,1,1,1);function gn(t){const e=t.transform.padding;yn(t,t.transform.height-(e.top||0),3,hn),yn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,pn),vn(t,t.transform.width-(e.right||0),3,dn);const r=t.transform.centerPoint;!function(t,e,r,n){const i=20,a=2;xn(t,e-a/2,r-i/2,a,i,n),xn(t,e-i/2,r-a/2,i,a,n);}(t,r.x,t.transform.height-r.y,mn);}function yn(t,e,r,n){xn(t,0,e+r/2,t.transform.width,r,n);}function vn(t,e,r,n){xn(t,e-r/2,0,r,t.transform.height,n);}function xn(t,e,r,n,i,a){const o=t.context,s=o.gl;s.enable(s.SCISSOR_TEST),s.scissor(e*t.pixelRatio,r*t.pixelRatio,n*t.pixelRatio,i*t.pixelRatio),o.clear({color:a}),s.disable(s.SCISSOR_TEST);}function _n(t,r,n){const i=t.context,a=i.gl,o=n.posMatrix,s=t.useProgram(\"debug\"),l=qr.disabled,c=Gr.disabled,u=t.colorModeForRenderPass(),h=\"$debug\",f=t.style.map.terrain&&t.style.map.terrain.getTerrainData(n);i.activeTexture.set(a.TEXTURE0);const p=r.getTileByID(n.key).latestRawTileData,d=p&&p.byteLength||0,m=Math.floor(d/1024),g=r.getTile(n).tileSize,y=512/Math.min(g,512)*(n.overscaledZ/t.transform.zoom)*.5;let v=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(v+=` => ${n.overscaledZ}`),function(t,e){t.initDebugOverlayCanvas();const r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE);}(t,`${v} ${m}kB`),s.draw(i,a.TRIANGLES,l,c,Ur.alphaBlended,Zr.disabled,Pe(o,e.aN.transparent,y),null,h,t.debugBuffer,t.quadTriangleIndexBuffer,t.debugSegments),s.draw(i,a.LINE_STRIP,l,c,u,Zr.disabled,Pe(o,e.aN.red),f,h,t.debugBuffer,t.tileBorderIndexBuffer,t.debugSegments);}function bn(t,e,r){const n=t.context,i=n.gl,a=t.colorModeForRenderPass(),o=new qr(i.LEQUAL,qr.ReadWrite,t.depthRangeFor3D),s=t.useProgram(\"terrain\"),l=e.getTerrainMesh();n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height]);for(const c of r){const r=t.renderToTexture.getTexture(c),u=e.getTerrainData(c.tileID);n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,r.texture);const h=t.transform.calculatePosMatrix(c.tileID.toUnwrapped()),f=e.getMeshFrameDelta(t.transform.zoom),p=t.transform.calculateFogMatrix(c.tileID.toUnwrapped()),d=xe(h,f,p,t.style.sky,t.transform.pitch);s.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,d,u,\"terrain\",l.vertexBuffer,l.indexBuffer,l.segments);}}class wn{constructor(t,e,r){this.vertexBuffer=t,this.indexBuffer=e,this.segments=r;}destroy(){this.vertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.vertexBuffer=null,this.indexBuffer=null,this.segments=null;}}class Tn{constructor(t,r){this.context=new Vr(t),this.transform=r,this._tileTextures={},this.terrainFacilitator={dirty:true,matrix:e.ao(new Float64Array(16)),renderTime:0},this.setup(),this.numSublayers=dt.maxUnderzooming+dt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new he;}resize(t,e,r){if(this.width=Math.floor(t*r),this.height=Math.floor(e*r),this.pixelRatio=r,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(const t of this.style._order)this.style._layers[t].resize();}setup(){const t=this.context,r=new e.aX;r.emplaceBack(0,0),r.emplaceBack(e.X,0),r.emplaceBack(0,e.X),r.emplaceBack(e.X,e.X),this.tileExtentBuffer=t.createVertexBuffer(r,me.members),this.tileExtentSegments=e.a0.simpleSegment(0,0,4,2);const n=new e.aX;n.emplaceBack(0,0),n.emplaceBack(e.X,0),n.emplaceBack(0,e.X),n.emplaceBack(e.X,e.X),this.debugBuffer=t.createVertexBuffer(n,me.members),this.debugSegments=e.a0.simpleSegment(0,0,4,5);const i=new e.$;i.emplaceBack(0,0,0,0),i.emplaceBack(e.X,0,e.X,0),i.emplaceBack(0,e.X,0,e.X),i.emplaceBack(e.X,e.X,e.X,e.X),this.rasterBoundsBuffer=t.createVertexBuffer(i,et.members),this.rasterBoundsSegments=e.a0.simpleSegment(0,0,4,2);const a=new e.aX;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=t.createVertexBuffer(a,me.members),this.viewportSegments=e.a0.simpleSegment(0,0,4,2);const o=new e.aZ;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=t.createIndexBuffer(o);const s=new e.aY;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=t.createIndexBuffer(s);const l=this.context.gl;this.stencilClearMode=new Gr({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO);}clearStencil(){const t=this.context,r=t.gl;this.nextStencilID=1,this.currentStencilSource=void 0;const n=e.H();e.aQ(n,0,this.width,this.height,0,0,1),e.K(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(t,r.TRIANGLES,qr.disabled,this.stencilClearMode,Ur.disabled,Zr.disabled,ze(n),null,\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments);}_renderTileClippingMasks(t,e){if(this.currentStencilSource===t.source||!t.isTileClipped()||!e||!e.length)return;this.currentStencilSource=t.source;const r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Ur.disabled),r.setDepthMode(qr.disabled);const i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(const t of e){const e=this._tileClippingMaskIDs[t.key]=this.nextStencilID++,a=this.style.map.terrain&&this.style.map.terrain.getTerrainData(t);i.draw(r,n.TRIANGLES,qr.disabled,new Gr({func:n.ALWAYS,mask:0},e,255,n.KEEP,n.KEEP,n.REPLACE),Ur.disabled,Zr.disabled,ze(t.posMatrix),a,\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments);}}stencilModeFor3D(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();const t=this.nextStencilID++,e=this.context.gl;return new Gr({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)}stencilModeForClipping(t){const e=this.context.gl;return new Gr({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)}stencilConfigForOverlap(t){const e=this.context.gl,r=t.sort(((t,e)=>e.overscaledZ-t.overscaledZ)),n=r[r.length-1].overscaledZ,i=r[0].overscaledZ-n+1;if(i>1){this.currentStencilSource=void 0,this.nextStencilID+i>256&&this.clearStencil();const t={};for(let r=0;r<i;r++)t[r+n]=new Gr({func:e.GEQUAL,mask:255},r+this.nextStencilID,255,e.KEEP,e.KEEP,e.REPLACE);return this.nextStencilID+=i,[t,r]}return [{[n]:Gr.disabled},r]}colorModeForRenderPass(){const t=this.context.gl;if(this._showOverdrawInspector){const r=1/8;return new Ur([t.CONSTANT_COLOR,t.ONE],new e.aN(r,r,r,0),[true,true,true,true])}return \"opaque\"===this.renderPass?Ur.unblended:Ur.alphaBlended}depthModeForSublayer(t,e,r){if(!this.opaquePassEnabledForLayer())return qr.disabled;const n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new qr(r||this.context.gl.LEQUAL,e,[n,n])}opaquePassEnabledForLayer(){return this.currentLayer<this.opaquePassCutoff}render(t,r){var n;this.style=t,this.options=r,this.lineAtlas=t.lineAtlas,this.imageManager=t.imageManager,this.glyphManager=t.glyphManager,this.symbolFadeChange=t.placement.symbolFadeChange(a.now()),this.imageManager.beginFrame();const i=this.style._order,o=this.style.sourceCaches,s={},l={},c={};for(const t in o){const e=o[t];e.used&&e.prepare(this.context),s[t]=e.getVisibleCoordinates(),l[t]=s[t].slice().reverse(),c[t]=e.getVisibleCoordinates(true).reverse();}this.opaquePassCutoff=1/0;for(let t=0;t<i.length;t++){const e=i[t];if(this.style._layers[e].is3D()){this.opaquePassCutoff=t;break}}this.maybeDrawDepthAndCoords(false),this.renderToTexture&&(this.renderToTexture.prepareForRender(this.style,this.transform.zoom),this.opaquePassCutoff=0),this.renderPass=\"offscreen\";for(const t of i){const e=this.style._layers[t];if(!e.hasOffscreenPass()||e.isHidden(this.transform.zoom))continue;const r=l[e.source];(\"custom\"===e.type||r.length)&&this.renderLayer(this,o[e.source],e,r);}if(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?e.aN.black:e.aN.transparent,depth:1}),this.clearStencil(),(null===(n=this.style.stylesheet)||void 0===n?void 0:n.sky)&&function(t,r){const n=t.context,i=n.gl,a=((t,e,r)=>({u_sky_color:t.properties.get(\"sky-color\"),u_horizon_color:t.properties.get(\"horizon-color\"),u_horizon:(e.height/2+e.getHorizon())*r,u_sky_horizon_blend:t.properties.get(\"sky-horizon-blend\")*e.height/2*r}))(r,t.style.map.transform,t.pixelRatio),o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=Gr.disabled,l=t.colorModeForRenderPass(),c=t.useProgram(\"sky\");if(!r.mesh){const t=new e.aX;t.emplaceBack(-1,-1),t.emplaceBack(1,-1),t.emplaceBack(1,1),t.emplaceBack(-1,1);const i=new e.aY;i.emplaceBack(0,1,2),i.emplaceBack(0,2,3),r.mesh=new wn(n.createVertexBuffer(t,me.members),n.createIndexBuffer(i),e.a0.simpleSegment(0,0,t.length,i.length));}c.draw(n,i.TRIANGLES,o,s,l,Zr.disabled,a,void 0,\"sky\",r.mesh.vertexBuffer,r.mesh.indexBuffer,r.mesh.segments);}(this,this.style.sky),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(t._order.length+2)*this.numSublayers*this.depthEpsilon],!this.renderToTexture)for(this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){const t=this.style._layers[i[this.currentLayer]],e=o[t.source],r=s[t.source];this._renderTileClippingMasks(t,r),this.renderLayer(this,e,t,r);}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){const t=this.style._layers[i[this.currentLayer]],e=o[t.source];if(this.renderToTexture&&this.renderToTexture.renderLayer(t))continue;const r=(\"symbol\"===t.type?c:l)[t.source];this._renderTileClippingMasks(t,s[t.source]),this.renderLayer(this,e,t,r);}if(this.options.showTileBoundaries){const t=function(t,e){let r=null;const n=Object.values(t._layers).flatMap((r=>r.source&&!r.isHidden(e)?[t.sourceCaches[r.source]]:[])),i=n.filter((t=>\"vector\"===t.getSource().type)),a=n.filter((t=>\"vector\"!==t.getSource().type)),o=t=>{(!r||r.getSource().maxzoom<t.getSource().maxzoom)&&(r=t);};return i.forEach((t=>o(t))),r||a.forEach((t=>o(t))),r}(this.style,this.transform.zoom);t&&function(t,e,r){for(let n=0;n<r.length;n++)_n(t,e,r[n]);}(this,t,t.getVisibleCoordinates());}this.options.showPadding&&gn(this),this.context.setDefault();}maybeDrawDepthAndCoords(t){if(!this.style||!this.style.map||!this.style.map.terrain)return;const r=this.terrainFacilitator.matrix,n=this.transform.modelViewProjectionMatrix;let i=this.terrainFacilitator.dirty;i||(i=t?!e.a_(r,n):!e.a$(r,n)),i||(i=this.style.map.terrain.sourceCache.tilesAfterTime(this.terrainFacilitator.renderTime).length>0),i&&(e.b0(r,n),this.terrainFacilitator.renderTime=Date.now(),this.terrainFacilitator.dirty=false,function(t,r){const n=t.context,i=n.gl,a=Ur.unblended,o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=r.getTerrainMesh(),l=r.sourceCache.getRenderableTiles(),c=t.useProgram(\"terrainDepth\");n.bindFramebuffer.set(r.getFramebuffer(\"depth\").framebuffer),n.viewport.set([0,0,t.width/devicePixelRatio,t.height/devicePixelRatio]),n.clear({color:e.aN.transparent,depth:1});for(const e of l){const l=r.getTerrainData(e.tileID),u={u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped()),u_ele_delta:r.getMeshFrameDelta(t.transform.zoom)};c.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,u,l,\"terrain\",s.vertexBuffer,s.indexBuffer,s.segments);}n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height]);}(this,this.style.map.terrain),function(t,r){const n=t.context,i=n.gl,a=Ur.unblended,o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=r.getTerrainMesh(),l=r.getCoordsTexture(),c=r.sourceCache.getRenderableTiles(),u=t.useProgram(\"terrainCoords\");n.bindFramebuffer.set(r.getFramebuffer(\"coords\").framebuffer),n.viewport.set([0,0,t.width/devicePixelRatio,t.height/devicePixelRatio]),n.clear({color:e.aN.transparent,depth:1}),r.coordsIndex=[];for(const e of c){const c=r.getTerrainData(e.tileID);n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,l.texture);const h={u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped()),u_terrain_coords_id:(255-r.coordsIndex.length)/255,u_texture:0,u_ele_delta:r.getMeshFrameDelta(t.transform.zoom)};u.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,h,c,\"terrain\",s.vertexBuffer,s.indexBuffer,s.segments),r.coordsIndex.push(e.tileID.key);}n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height]);}(this,this.style.map.terrain));}renderLayer(t,r,n,i){if(!n.isHidden(this.transform.zoom)&&(\"background\"===n.type||\"custom\"===n.type||(i||[]).length))switch(this.id=n.id,n.type){case \"symbol\":$r(t,r,n,i,this.style.placement.variableOffsets);break;case \"circle\":!function(t,r,n,i){if(\"translucent\"!==t.renderPass)return;const a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=!n.layout.get(\"circle-sort-key\").isConstant();if(0===a.constantOr(1)&&(0===o.constantOr(1)||0===s.constantOr(1)))return;const c=t.context,u=c.gl,h=t.depthModeForSublayer(0,qr.ReadOnly),f=Gr.disabled,p=t.colorModeForRenderPass(),d=[];for(let a=0;a<i.length;a++){const o=i[a],s=r.getTile(o),c=s.getBucket(n);if(!c)continue;const u=c.programConfigurations.get(n.id),h=t.useProgram(\"circle\",u),f=c.layoutVertexBuffer,p=c.indexBuffer,m=t.style.map.terrain&&t.style.map.terrain.getTerrainData(o),g={programConfiguration:u,program:h,layoutVertexBuffer:f,indexBuffer:p,uniformValues:Ce(t,o,s,n),terrainData:m};if(l){const t=c.segments.get();for(const r of t)d.push({segments:new e.a0([r]),sortKey:r.sortKey,state:g});}else d.push({segments:c.segments,sortKey:0,state:g});}l&&d.sort(((t,e)=>t.sortKey-e.sortKey));for(const e of d){const{programConfiguration:r,program:i,layoutVertexBuffer:a,indexBuffer:o,uniformValues:s,terrainData:l}=e.state,d=e.segments;i.draw(c,u.TRIANGLES,h,f,p,Zr.disabled,s,l,n.id,a,o,d,n.paint,t.transform.zoom,r);}}(t,r,n,i);break;case \"heatmap\":nn(t,r,n,i);break;case \"line\":!function(t,r,n,i){if(\"translucent\"!==t.renderPass)return;const a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0===a.constantOr(1)||0===o.constantOr(1))return;const s=t.depthModeForSublayer(0,qr.ReadOnly),l=t.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",m=t.context,g=m.gl;let y=true;for(const a of i){const i=r.getTile(a);if(h&&!i.patternsLoaded())continue;const o=i.getBucket(n);if(!o)continue;const v=o.programConfigurations.get(n.id),x=t.context.program.get(),_=t.useProgram(d,v),b=y||_.program!==x,T=t.style.map.terrain&&t.style.map.terrain.getTerrainData(a),k=u.constantOr(null);if(k&&i.imageAtlas){const t=i.imageAtlas,e=t.patternPositions[k.to.toString()],r=t.patternPositions[k.from.toString()];e&&r&&v.setConstantPatternPositions(e,r);}const A=T?a:null,M=h?Ue(t,i,n,p,A):c?Ve(t,i,n,c,p,A):f?je(t,i,n,o.lineClipsArray.length,A):Ne(t,i,n,A);if(h)m.activeTexture.set(g.TEXTURE0),i.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),v.updatePaintBuffers(p);else if(c&&(b||t.lineAtlas.dirty))m.activeTexture.set(g.TEXTURE0),t.lineAtlas.bind(m);else if(f){const i=o.gradients[n.id];let s=i.texture;if(n.gradientVersion!==i.version){let l=256;if(n.stepInterpolant){const n=r.getSource().maxzoom,i=a.canonical.z===n?Math.ceil(1<<t.transform.maxZoom-a.canonical.z):1,s=o.maxLineLength/e.X*1024*i;l=e.ad(e.aV(s),256,m.maxTextureSize);}i.gradient=e.aW({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:l,image:i.gradient||void 0,clips:o.lineClipsArray}),i.texture?i.texture.update(i.gradient):i.texture=new w(m,i.gradient,g.RGBA),i.version=n.gradientVersion,s=i.texture;}m.activeTexture.set(g.TEXTURE0),s.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE);}_.draw(m,g.TRIANGLES,s,t.stencilModeForClipping(a),l,Zr.disabled,M,T,n.id,o.layoutVertexBuffer,o.indexBuffer,o.segments,n.paint,t.transform.zoom,v,o.layoutVertexBuffer2),y=false;}}(t,r,n,i);break;case \"fill\":!function(t,r,n,i){const a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0===o.constantOr(1))return;const s=t.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=t.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(e.aN.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(t.renderPass===c){const e=t.depthModeForSublayer(1,\"opaque\"===t.renderPass?qr.ReadWrite:qr.ReadOnly);on(t,r,n,i,e,s,false);}if(\"translucent\"===t.renderPass&&n.paint.get(\"fill-antialias\")){const e=t.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,qr.ReadOnly);on(t,r,n,i,e,s,true);}}(t,r,n,i);break;case \"fill-extrusion\":!function(t,e,r,n){const i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){const a=new qr(t.context.gl.LEQUAL,qr.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))sn(t,e,r,n,a,Gr.disabled,Ur.disabled),sn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else {const i=t.colorModeForRenderPass();sn(t,e,r,n,a,Gr.disabled,i);}}}(t,r,n,i);break;case \"hillshade\":!function(t,e,r,n){if(\"offscreen\"!==t.renderPass&&\"translucent\"!==t.renderPass)return;const i=t.context,a=t.depthModeForSublayer(0,qr.ReadOnly),o=t.colorModeForRenderPass(),[s,l]=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n];for(const n of l){const i=e.getTile(n);void 0!==i.needsHillshadePrepare&&i.needsHillshadePrepare&&\"offscreen\"===t.renderPass?cn(t,i,r,a,Gr.disabled,o):\"translucent\"===t.renderPass&&ln(t,n,i,r,a,s[n.overscaledZ],o);}i.viewport.set([0,0,t.width,t.height]);}(t,r,n,i);break;case \"raster\":!function(t,e,r,n){if(\"translucent\"!==t.renderPass)return;if(0===r.paint.get(\"raster-opacity\"))return;if(!n.length)return;const i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),[c,u]=o instanceof rt?[{},n]:t.stencilConfigForOverlap(n),h=u[u.length-1].overscaledZ,f=!t.options.moving;for(const n of u){const u=t.depthModeForSublayer(n.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?qr.ReadWrite:qr.ReadOnly,a.LESS),p=e.getTile(n);p.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));const d=e.findLoadedParent(n,0),m=e.findLoadedSibling(n),g=un(p,d||m||null,e,r,t.transform,t.style.map.terrain);let y,v;const x=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),p.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),d?(d.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),y=Math.pow(2,d.tileID.overscaledZ-p.tileID.overscaledZ),v=[p.tileID.canonical.x*y%1,p.tileID.canonical.y*y%1]):p.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),p.texture.useMipmap&&i.extTextureFilterAnisotropic&&t.transform.pitch>20&&a.texParameterf(a.TEXTURE_2D,i.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,i.extTextureFilterAnisotropicMax);const _=t.style.map.terrain&&t.style.map.terrain.getTerrainData(n),b=_?n:null,w=b?b.posMatrix:t.transform.calculatePosMatrix(n.toUnwrapped(),f),T=Ge(w,v||[0,0],y||1,g,r);o instanceof rt?s.draw(i,a.TRIANGLES,u,Gr.disabled,l,Zr.disabled,T,_,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,u,c[n.overscaledZ],l,Zr.disabled,T,_,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments);}}(t,r,n,i);break;case \"background\":!function(t,e,r,n){const i=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0===a)return;const o=t.context,s=o.gl,l=t.transform,c=l.tileSize,u=r.paint.get(\"background-pattern\");if(t.isPatternMissing(u))return;const h=!u&&1===i.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass!==h)return;const f=Gr.disabled,p=t.depthModeForSublayer(0,\"opaque\"===h?qr.ReadWrite:qr.ReadOnly),d=t.colorModeForRenderPass(),m=t.useProgram(u?\"backgroundPattern\":\"background\"),g=n||l.coveringTiles({tileSize:c,terrain:t.style.map.terrain});u&&(o.activeTexture.set(s.TEXTURE0),t.imageManager.bind(t.context));const y=r.getCrossfadeParameters();for(const e of g){const l=n?e.posMatrix:t.transform.calculatePosMatrix(e.toUnwrapped()),h=u?Je(l,a,t,u,{tileID:e,tileSize:c},y):$e(l,a,i),g=t.style.map.terrain&&t.style.map.terrain.getTerrainData(e);m.draw(o,s.TRIANGLES,p,f,d,Zr.disabled,h,g,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments);}}(t,0,n,i);break;case \"custom\":!function(t,e,r){const n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){const e=i.prerender;e&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),e.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState());}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Gr.disabled);const e=\"3d\"===i.renderingMode?new qr(t.context.gl.LEQUAL,qr.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,qr.ReadOnly);n.setDepthMode(e),i.render(n.gl,t.transform.customLayerMatrix(),{farZ:t.transform.farZ,nearZ:t.transform.nearZ,fov:t.transform._fov,modelViewProjectionMatrix:t.transform.modelViewProjectionMatrix,projectionMatrix:t.transform.projectionMatrix}),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null);}}(t,0,n);}}translatePosMatrix(t,r,n,i,a){if(!n[0]&&!n[1])return t;const o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){const t=Math.sin(o),e=Math.cos(o);n=[n[0]*e-n[1]*t,n[0]*t+n[1]*e];}const s=[a?n[0]:Nt(r,n[0],this.transform.zoom),a?n[1]:Nt(r,n[1],this.transform.zoom),0],l=new Float32Array(16);return e.J(l,t,s),l}saveTileTexture(t){const e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t];}getTileTexture(t){const e=this._tileTextures[t];return e&&e.length>0?e.pop():null}isPatternMissing(t){if(!t)return  false;if(!t.from||!t.to)return  true;const e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return !e||!r}useProgram(t,e){this.cache=this.cache||{};const r=t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\")+(this.style.map.terrain?\"/terrain\":\"\");return this.cache[r]||(this.cache[r]=new be(this.context,ge[t],e,Ke[t],this._showOverdrawInspector,this.style.map.terrain)),this.cache[r]}setCustomLayerDefaults(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault();}setBaseState(){const t=this.context.gl;this.context.cullFace.set(false),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD);}initDebugOverlayCanvas(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;const t=this.context.gl;this.debugOverlayTexture=new w(this.context,this.debugOverlayCanvas,t.RGBA);}}destroy(){this.debugOverlayTexture&&this.debugOverlayTexture.destroy();}overLimit(){const{drawingBufferWidth:t,drawingBufferHeight:e}=this.context.gl;return this.width!==t||this.height!==e}}class kn{constructor(t,e){this.points=t,this.planes=e;}static fromInvProjectionMatrix(t,r,n){const i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((n=>{const a=1/(n=e.ag([],n,t))[3]/r*i;return e.b1(n,n,[a,a,1/n[3],a])})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((t=>{const e=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t}([],function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t}([],y([],a[t[0]],a[t[1]]),y([],a[t[2]],a[t[1]]))),r=(n=e,i=a[t[1]],-(n[0]*i[0]+n[1]*i[1]+n[2]*i[2]));var n,i;return e.concat(r)}));return new kn(a,o)}}class An{constructor(t,e){this.min=t,this.max=e,this.center=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t}([],function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t}([],this.min,this.max),.5);}quadrant(t){const e=[t%2==0,t<2],r=m(this.min),n=m(this.max);for(let t=0;t<e.length;t++)r[t]=e[t]?this.min[t]:this.center[t],n[t]=e[t]?this.center[t]:this.max[t];return n[2]=this.max[2],new An(r,n)}distanceX(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]}distanceY(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]}intersects(t){const r=[[this.min[0],this.min[1],this.min[2],1],[this.max[0],this.min[1],this.min[2],1],[this.max[0],this.max[1],this.min[2],1],[this.min[0],this.max[1],this.min[2],1],[this.min[0],this.min[1],this.max[2],1],[this.max[0],this.min[1],this.max[2],1],[this.max[0],this.max[1],this.max[2],1],[this.min[0],this.max[1],this.max[2],1]];let n=true;for(let i=0;i<t.planes.length;i++){const a=t.planes[i];let o=0;for(let t=0;t<r.length;t++)e.b2(a,r[t])>=0&&o++;if(0===o)return 0;o!==r.length&&(n=false);}if(n)return 2;for(let e=0;e<3;e++){let r=Number.MAX_VALUE,n=-Number.MAX_VALUE;for(let i=0;i<t.points.length;i++){const a=t.points[i][e]-this.min[e];r=Math.min(r,a),n=Math.max(n,a);}if(n<0||r>this.max[e]-this.min[e])return 0}return 1}}class Mn{constructor(t=0,e=0,r=0,n=0){if(isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n;}interpolate(t,r,n){return null!=r.top&&null!=t.top&&(this.top=e.z.number(t.top,r.top,n)),null!=r.bottom&&null!=t.bottom&&(this.bottom=e.z.number(t.bottom,r.bottom,n)),null!=r.left&&null!=t.left&&(this.left=e.z.number(t.left,r.left,n)),null!=r.right&&null!=t.right&&(this.right=e.z.number(t.right,r.right,n)),this}getCenter(t,r){const n=e.ad((this.left+t-this.right)/2,0,t),i=e.ad((this.top+r-this.bottom)/2,0,r);return new e.P(n,i)}equals(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right}clone(){return new Mn(this.top,this.bottom,this.left,this.right)}toJSON(){return {top:this.top,bottom:this.bottom,left:this.left,right:this.right}}}const Sn=85.051129;class En{constructor(t,r,n,i,a){this.tileSize=512,this._renderWorldCopies=void 0===a||!!a,this._minZoom=t||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new e.N(0,0),this._elevation=0,this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=true,this._edgeInsets=new Mn,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={},this.minElevationForCurrentTile=0;}clone(){const t=new En(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.apply(this),t}apply(t){this.tileSize=t.tileSize,this.latRange=t.latRange,this.width=t.width,this.height=t.height,this._center=t._center,this._elevation=t._elevation,this.minElevationForCurrentTile=t.minElevationForCurrentTile,this.zoom=t.zoom,this.angle=t.angle,this._fov=t._fov,this._pitch=t._pitch,this._unmodified=t._unmodified,this._edgeInsets=t._edgeInsets.clone(),this._calcMatrices();}get minZoom(){return this._minZoom}set minZoom(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t));}get maxZoom(){return this._maxZoom}set maxZoom(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t));}get minPitch(){return this._minPitch}set minPitch(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t));}get maxPitch(){return this._maxPitch}set maxPitch(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t));}get renderWorldCopies(){return this._renderWorldCopies}set renderWorldCopies(t){ void 0===t?t=true:null===t&&(t=false),this._renderWorldCopies=t;}get worldSize(){return this.tileSize*this.scale}get centerOffset(){return this.centerPoint._sub(this.size._div(2))}get size(){return new e.P(this.width,this.height)}get bearing(){return -this.angle/Math.PI*180}set bearing(t){const r=-e.b3(t,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=false,this.angle=r,this._calcMatrices(),this.rotationMatrix=function(){var t=new e.A(4);return e.A!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t}(),function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=Math.sin(r),l=Math.cos(r);t[0]=n*l+a*s,t[1]=i*l+o*s,t[2]=n*-s+a*l,t[3]=i*-s+o*l;}(this.rotationMatrix,this.rotationMatrix,this.angle));}get pitch(){return this._pitch/Math.PI*180}set pitch(t){const r=e.ad(t,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=false,this._pitch=r,this._calcMatrices());}get fov(){return this._fov/Math.PI*180}set fov(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=false,this._fov=t/180*Math.PI,this._calcMatrices());}get zoom(){return this._zoom}set zoom(t){const e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=false,this._zoom=e,this.tileZoom=Math.max(0,Math.floor(e)),this.scale=this.zoomScale(e),this._constrain(),this._calcMatrices());}get center(){return this._center}set center(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=false,this._center=t,this._constrain(),this._calcMatrices());}get elevation(){return this._elevation}set elevation(t){t!==this._elevation&&(this._elevation=t,this._constrain(),this._calcMatrices());}get padding(){return this._edgeInsets.toJSON()}set padding(t){this._edgeInsets.equals(t)||(this._unmodified=false,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices());}get centerPoint(){return this._edgeInsets.getCenter(this.width,this.height)}isPaddingEqual(t){return this._edgeInsets.equals(t)}interpolatePadding(t,e,r){this._unmodified=false,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices();}coveringZoomLevel(t){const e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)}getVisibleUnwrappedCoordinates(t){const r=[new e.b4(0,t)];if(this._renderWorldCopies){const n=this.pointCoordinate(new e.P(0,0)),i=this.pointCoordinate(new e.P(this.width,0)),a=this.pointCoordinate(new e.P(this.width,this.height)),o=this.pointCoordinate(new e.P(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=1;for(let n=s-c;n<=l+c;n++)0!==n&&r.push(new e.b4(n,t));}return r}coveringTiles(t){var r,n;let i=this.coveringZoomLevel(t);const a=i;if(void 0!==t.minzoom&&i<t.minzoom)return [];void 0!==t.maxzoom&&i>t.maxzoom&&(i=t.maxzoom);const o=this.pointCoordinate(this.getCameraPoint()),s=e.Z.fromLngLat(this.center),l=Math.pow(2,i),c=[l*o.x,l*o.y,0],u=[l*s.x,l*s.y,0],h=kn.fromInvProjectionMatrix(this.invModelViewProjectionMatrix,this.worldSize,i);let f=t.minzoom||0;!t.terrain&&this.pitch<=60&&this._edgeInsets.top<.1&&(f=i);const p=t.terrain?2/Math.min(this.tileSize,t.tileSize)*this.tileSize:3,d=t=>({aabb:new An([t*l,0,0],[(t+1)*l,l,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:false}),m=[],g=[],y=i,x=t.reparseOverscaled?a:i;if(this._renderWorldCopies)for(let t=1;t<=3;t++)m.push(d(-t)),m.push(d(t));for(m.push(d(0));m.length>0;){const i=m.pop(),a=i.x,o=i.y;let s=i.fullyVisible;if(!s){const t=i.aabb.intersects(h);if(0===t)continue;s=2===t;}const l=t.terrain?c:u,d=i.aabb.distanceX(l),_=i.aabb.distanceY(l),b=Math.max(Math.abs(d),Math.abs(_)),w=p+(1<<y-i.zoom)-2;if(i.zoom===y||b>w&&i.zoom>=f){const t=y-i.zoom,r=c[0]-.5-(a<<t),n=c[1]-.5-(o<<t);g.push({tileID:new e.S(i.zoom===y?x:i.zoom,i.wrap,i.zoom,a,o),distanceSq:v([u[0]-.5-a,u[1]-.5-o]),tileDistanceToCamera:Math.sqrt(r*r+n*n)});}else for(let l=0;l<4;l++){const c=(a<<1)+l%2,u=(o<<1)+(l>>1),h=i.zoom+1;let f=i.aabb.quadrant(l);if(t.terrain){const a=new e.S(h,i.wrap,h,c,u),o=t.terrain.getMinMaxElevation(a),s=null!==(r=o.minElevation)&&void 0!==r?r:this.elevation,l=null!==(n=o.maxElevation)&&void 0!==n?n:this.elevation;f=new An([f.min[0],f.min[1],s],[f.max[0],f.max[1],l]);}m.push({aabb:f,zoom:h,x:c,y:u,wrap:i.wrap,fullyVisible:s});}}return g.sort(((t,e)=>t.distanceSq-e.distanceSq)).map((t=>t.tileID))}resize(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices();}get unmodified(){return this._unmodified}zoomScale(t){return Math.pow(2,t)}scaleZoom(t){return Math.log(t)/Math.LN2}project(t){const r=e.ad(t.lat,-85.051129,Sn);return new e.P(e.O(t.lng)*this.worldSize,e.Q(r)*this.worldSize)}unproject(t){return new e.Z(t.x/this.worldSize,t.y/this.worldSize).toLngLat()}get point(){return this.project(this.center)}getCameraPosition(){return {lngLat:this.pointLocation(this.getCameraPoint()),altitude:Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter+this.elevation}}recalculateZoom(t){const r=this.elevation,n=Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter,i=this.pointLocation(this.centerPoint,t),a=t.getElevationForLngLatZoom(i,this.tileZoom);if(!(this.elevation-a))return;const o=n+r-a,s=Math.cos(this._pitch)*this.cameraToCenterDistance/o/e.b5(1,i.lat)/this.tileSize,l=this.scaleZoom(s);this._elevation=a,this._center=i,this.zoom=l;}setLocationAtPoint(t,r){const n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(t),o=new e.Z(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap());}locationPoint(t,e){return e?this.coordinatePoint(this.locationCoordinate(t),e.getElevationForLngLatZoom(t,this.tileZoom),this.pixelMatrix3D):this.coordinatePoint(this.locationCoordinate(t))}pointLocation(t,e){return this.coordinateLocation(this.pointCoordinate(t,e))}locationCoordinate(t){return e.Z.fromLngLat(t)}coordinateLocation(t){return t&&t.toLngLat()}pointCoordinate(t,r){if(r){const e=r.pointCoordinate(t);if(null!=e)return e}const n=[t.x,t.y,0,1],i=[t.x,t.y,1,1];e.ag(n,n,this.pixelMatrixInverse),e.ag(i,i,this.pixelMatrixInverse);const a=n[3],o=i[3],s=n[0]/a,l=i[0]/o,c=n[1]/a,u=i[1]/o,h=n[2]/a,f=i[2]/o,p=h===f?0:(0-h)/(f-h);return new e.Z(e.z.number(s,l,p)/this.worldSize,e.z.number(c,u,p)/this.worldSize)}coordinatePoint(t,r=0,n=this.pixelMatrix){const i=[t.x*this.worldSize,t.y*this.worldSize,r,1];return e.ag(i,i,n),new e.P(i[0]/i[3],i[1]/i[3])}getBounds(){const t=Math.max(0,this.height/2-this.getHorizon());return (new X).extend(this.pointLocation(new e.P(0,t))).extend(this.pointLocation(new e.P(this.width,t))).extend(this.pointLocation(new e.P(this.width,this.height))).extend(this.pointLocation(new e.P(0,this.height)))}getMaxBounds(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new X([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null}getHorizon(){return Math.tan(Math.PI/2-this._pitch)*this.cameraToCenterDistance*.85}setMaxBounds(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-85.051129,Sn]);}calculateTileMatrix(t){const r=t.canonical,n=this.worldSize/this.zoomScale(r.z),i=r.x+Math.pow(2,r.z)*t.wrap,a=e.ao(new Float64Array(16));return e.J(a,a,[i*n,r.y*n,0]),e.K(a,a,[n/e.X,n/e.X,1]),a}calculatePosMatrix(t,r=false){const n=t.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];const a=this.calculateTileMatrix(t);return e.L(a,r?this.alignedModelViewProjectionMatrix:this.modelViewProjectionMatrix,a),i[n]=new Float32Array(a),i[n]}calculateFogMatrix(t){const r=t.key,n=this._fogMatrixCache;if(n[r])return n[r];const i=this.calculateTileMatrix(t);return e.L(i,this.fogMatrix,i),n[r]=new Float32Array(i),n[r]}customLayerMatrix(){return this.mercatorMatrix.slice()}getConstrained(t,r){r=e.ad(+r,this.minZoom,this.maxZoom);const n={center:new e.N(t.lng,t.lat),zoom:r};let i=this.lngRange;if(!this._renderWorldCopies&&null===i){const t=180-1e-10;i=[-t,t];}const a=this.tileSize*this.zoomScale(n.zoom);let o=0,s=a,l=0,c=a,u=0,h=0;const{x:f,y:p}=this.size;if(this.latRange){const t=this.latRange;o=e.Q(t[1])*a,s=e.Q(t[0])*a,s-o<p&&(u=p/(s-o));}i&&(l=e.b3(e.O(i[0])*a,0,a),c=e.b3(e.O(i[1])*a,0,a),c<l&&(c+=a),c-l<f&&(h=f/(c-l)));const{x:d,y:m}=this.project.call({worldSize:a},t);let g,y;const v=Math.max(h||0,u||0);if(v){const t=new e.P(h?(c+l)/2:d,u?(s+o)/2:m);return n.center=this.unproject.call({worldSize:a},t).wrap(),n.zoom+=this.scaleZoom(v),n}if(this.latRange){const t=p/2;m-t<o&&(y=o+t),m+t>s&&(y=s-t);}if(i){const t=(l+c)/2;let r=d;this._renderWorldCopies&&(r=e.b3(d,t-a/2,t+a/2));const n=f/2;r-n<l&&(g=l+n),r+n>c&&(g=c-n);}if(void 0!==g||void 0!==y){const t=new e.P(null!=g?g:d,null!=y?y:m);n.center=this.unproject.call({worldSize:a},t).wrap();}return n}_constrain(){if(!this.center||!this.width||!this.height||this._constraining)return;this._constraining=true;const t=this._unmodified,{center:e,zoom:r}=this.getConstrained(this.center,this.zoom);this.center=e,this.zoom=r,this._unmodified=t,this._constraining=false;}_calcMatrices(){if(!this.height)return;const t=this._fov/2,r=this.centerOffset,n=this.point.x,i=this.point.y;this.cameraToCenterDistance=.5/Math.tan(t)*this.height,this._pixelPerMeter=e.b5(1,this.center.lat)*this.worldSize;let a=e.ao(new Float64Array(16));e.K(a,a,[this.width/2,-this.height/2,1]),e.J(a,a,[1,-1,0]),this.labelPlaneMatrix=a,a=e.ao(new Float64Array(16)),e.K(a,a,[1,-1,1]),e.J(a,a,[-1,-1,0]),e.K(a,a,[2/this.width,2/this.height,1]),this.glCoordMatrix=a;const o=this.cameraToCenterDistance+this._elevation*this._pixelPerMeter/Math.cos(this._pitch),s=Math.min(this.elevation,this.minElevationForCurrentTile),l=o-s*this._pixelPerMeter/Math.cos(this._pitch),c=s<0?l:o,u=Math.PI/2+this._pitch,h=this._fov*(.5+r.y/this.height),f=Math.sin(h)*c/Math.sin(e.ad(Math.PI-u-h,.01,Math.PI-.01)),p=this.getHorizon(),d=2*Math.atan(p/this.cameraToCenterDistance)*(.5+r.y/(2*p)),m=Math.sin(d)*c/Math.sin(e.ad(Math.PI-u-d,.01,Math.PI-.01)),g=Math.min(f,m);this.farZ=1.01*(Math.cos(Math.PI/2-this._pitch)*g+c),this.nearZ=this.height/50,a=new Float64Array(16),e.b6(a,this._fov,this.width/this.height,this.nearZ,this.farZ),a[8]=2*-r.x/this.width,a[9]=2*r.y/this.height,this.projectionMatrix=e.af(a),e.K(a,a,[1,-1,1]),e.J(a,a,[0,0,-this.cameraToCenterDistance]),e.b7(a,a,this._pitch),e.ae(a,a,this.angle),e.J(a,a,[-n,-i,0]),this.mercatorMatrix=e.K([],a,[this.worldSize,this.worldSize,this.worldSize]),e.K(a,a,[1,1,this._pixelPerMeter]),this.pixelMatrix=e.L(new Float64Array(16),this.labelPlaneMatrix,a),e.J(a,a,[0,0,-this.elevation]),this.modelViewProjectionMatrix=a,this.invModelViewProjectionMatrix=e.at([],a),this.fogMatrix=new Float64Array(16),e.b6(this.fogMatrix,this._fov,this.width/this.height,o,this.farZ),this.fogMatrix[8]=2*-r.x/this.width,this.fogMatrix[9]=2*r.y/this.height,e.K(this.fogMatrix,this.fogMatrix,[1,-1,1]),e.J(this.fogMatrix,this.fogMatrix,[0,0,-this.cameraToCenterDistance]),e.b7(this.fogMatrix,this.fogMatrix,this._pitch),e.ae(this.fogMatrix,this.fogMatrix,this.angle),e.J(this.fogMatrix,this.fogMatrix,[-n,-i,0]),e.K(this.fogMatrix,this.fogMatrix,[1,1,this._pixelPerMeter]),e.J(this.fogMatrix,this.fogMatrix,[0,0,-this.elevation]),this.pixelMatrix3D=e.L(new Float64Array(16),this.labelPlaneMatrix,a);const y=this.width%2/2,v=this.height%2/2,x=Math.cos(this.angle),_=Math.sin(this.angle),b=n-Math.round(n)+x*y+_*v,w=i-Math.round(i)+x*v+_*y,T=new Float64Array(a);if(e.J(T,T,[b>.5?b-1:b,w>.5?w-1:w,0]),this.alignedModelViewProjectionMatrix=T,a=e.at(new Float64Array(16),this.pixelMatrix),!a)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=a,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={};}maxPitchScaleFactor(){if(!this.pixelMatrixInverse)return 1;const t=this.pointCoordinate(new e.P(0,0)),r=[t.x*this.worldSize,t.y*this.worldSize,0,1];return e.ag(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance}getCameraPoint(){const t=this._pitch,r=Math.tan(t)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new e.P(0,r))}getCameraQueryGeometry(t){const r=this.getCameraPoint();if(1===t.length)return [t[0],r];{let n=r.x,i=r.y,a=r.x,o=r.y;for(const e of t)n=Math.min(n,e.x),i=Math.min(i,e.y),a=Math.max(a,e.x),o=Math.max(o,e.y);return [new e.P(n,i),new e.P(a,i),new e.P(a,o),new e.P(n,o),new e.P(n,i)]}}lngLatToCameraDepth(t,r){const n=this.locationCoordinate(t),i=[n.x*this.worldSize,n.y*this.worldSize,r,1];return e.ag(i,i,this.modelViewProjectionMatrix),i[2]/i[3]}}function Cn(t,e){let r,n=false,i=null,a=null;const o=()=>{i=null,n&&(t.apply(a,r),i=setTimeout(o,e),n=false);};return (...t)=>(n=true,a=this,r=t,i||o(),i)}class Ln{constructor(t){this._getCurrentHash=()=>{const t=window.location.hash.replace(\"#\",\"\");if(this._hashName){let e;return t.split(\"&\").map((t=>t.split(\"=\"))).forEach((t=>{t[0]===this._hashName&&(e=t);})),(e&&e[1]||\"\").split(\"/\")}return t.split(\"/\")},this._onHashChange=()=>{const t=this._getCurrentHash();if(t.length>=3&&!t.some((t=>isNaN(t)))){const e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),true}return  false},this._updateHashUnthrottled=()=>{const t=window.location.href.replace(/(#.+)?$/,this.getHashString());window.history.replaceState(window.history.state,null,t);},this._removeHash=()=>{const t=this._getCurrentHash();if(0===t.length)return;const e=t.join(\"/\");let r=e;r.split(\"&\").length>0&&(r=r.split(\"&\")[0]),this._hashName&&(r=`${this._hashName}=${e}`);let n=window.location.hash.replace(r,\"\");n.startsWith(\"#&\")?n=n.slice(0,1)+n.slice(2):\"#\"===n&&(n=\"\");let i=window.location.href.replace(/(#.+)?$/,n);i=i.replace(\"&&\",\"&\"),window.history.replaceState(window.history.state,null,i);},this._updateHash=Cn(this._updateHashUnthrottled,300),this._hashName=t&&encodeURIComponent(t);}addTo(t){return this._map=t,addEventListener(\"hashchange\",this._onHashChange,false),this._map.on(\"moveend\",this._updateHash),this}remove(){return removeEventListener(\"hashchange\",this._onHashChange,false),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),this._removeHash(),delete this._map,this}getHashString(t){const e=this._map.getCenter(),r=Math.round(100*this._map.getZoom())/100,n=Math.ceil((r*Math.LN2+Math.log(512/360/.5))/Math.LN10),i=Math.pow(10,n),a=Math.round(e.lng*i)/i,o=Math.round(e.lat*i)/i,s=this._map.getBearing(),l=this._map.getPitch();let c=\"\";if(c+=t?`/${a}/${o}/${r}`:`${r}/${o}/${a}`,(s||l)&&(c+=\"/\"+Math.round(10*s)/10),l&&(c+=`/${Math.round(l)}`),this._hashName){const t=this._hashName;let e=false;const r=window.location.hash.slice(1).split(\"&\").map((r=>{const n=r.split(\"=\")[0];return n===t?(e=true,`${n}=${c}`):r})).filter((t=>t));return e||r.push(`${t}=${c}`),`#${r.join(\"&\")}`}return `#${c}`}}const In={linearity:.3,easing:e.b8(0,0,.3,1)},Pn=e.e({deceleration:2500,maxSpeed:1400},In),zn=e.e({deceleration:20,maxSpeed:1400},In),On=e.e({deceleration:1e3,maxSpeed:360},In),Dn=e.e({deceleration:1e3,maxSpeed:90},In);class Rn{constructor(t){this._map=t,this.clear();}clear(){this._inertiaBuffer=[];}record(t){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:a.now(),settings:t});}_drainInertiaBuffer(){const t=this._inertiaBuffer,e=a.now();for(;t.length>0&&e-t[0].time>160;)t.shift();}_onMoveEnd(t){if(this._drainInertiaBuffer(),this._inertiaBuffer.length<2)return;const r={zoom:0,bearing:0,pitch:0,pan:new e.P(0,0),pinchAround:void 0,around:void 0};for(const{settings:t}of this._inertiaBuffer)r.zoom+=t.zoomDelta||0,r.bearing+=t.bearingDelta||0,r.pitch+=t.pitchDelta||0,t.panDelta&&r.pan._add(t.panDelta),t.around&&(r.around=t.around),t.pinchAround&&(r.pinchAround=t.pinchAround);const n=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,i={};if(r.pan.mag()){const a=Bn(r.pan.mag(),n,e.e({},Pn,t||{}));i.offset=r.pan.mult(a.amount/r.pan.mag()),i.center=this._map.transform.center,Fn(i,a);}if(r.zoom){const t=Bn(r.zoom,n,zn);i.zoom=this._map.transform.zoom+t.amount,Fn(i,t);}if(r.bearing){const t=Bn(r.bearing,n,On);i.bearing=this._map.transform.bearing+e.ad(t.amount,-179,179),Fn(i,t);}if(r.pitch){const t=Bn(r.pitch,n,Dn);i.pitch=this._map.transform.pitch+t.amount,Fn(i,t);}if(i.zoom||i.bearing){const t=void 0===r.pinchAround?r.around:r.pinchAround;i.around=t?this._map.unproject(t):this._map.getCenter();}return this.clear(),e.e(i,{noMoveStart:true})}}function Fn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing);}function Bn(t,r,n){const{maxSpeed:i,linearity:a,deceleration:o}=n,s=e.ad(t*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return {easing:n.easing,duration:1e3*l,amount:s*(l/2)}}class Nn extends e.k{preventDefault(){this._defaultPrevented=true;}get defaultPrevented(){return this._defaultPrevented}constructor(t,r,n,i={}){const a=o.mousePos(r.getCanvas(),n),s=r.unproject(a);super(t,e.e({point:a,lngLat:s,originalEvent:n},i)),this._defaultPrevented=false,this.target=r;}}class jn extends e.k{preventDefault(){this._defaultPrevented=true;}get defaultPrevented(){return this._defaultPrevented}constructor(t,r,n){const i=\"touchend\"===t?n.changedTouches:n.touches,a=o.touchPos(r.getCanvasContainer(),i),s=a.map((t=>r.unproject(t))),l=a.reduce(((t,e,r,n)=>t.add(e.div(n.length))),new e.P(0,0));super(t,{points:a,point:l,lngLats:s,lngLat:r.unproject(l),originalEvent:n}),this._defaultPrevented=false;}}class Un extends e.k{preventDefault(){this._defaultPrevented=true;}get defaultPrevented(){return this._defaultPrevented}constructor(t,e,r){super(t,{originalEvent:r}),this._defaultPrevented=false;}}class Vn{constructor(t,e){this._map=t,this._clickTolerance=e.clickTolerance;}reset(){delete this._mousedownPos;}wheel(t){return this._firePreventable(new Un(t.type,this._map,t))}mousedown(t,e){return this._mousedownPos=e,this._firePreventable(new Nn(t.type,this._map,t))}mouseup(t){this._map.fire(new Nn(t.type,this._map,t));}click(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Nn(t.type,this._map,t));}dblclick(t){return this._firePreventable(new Nn(t.type,this._map,t))}mouseover(t){this._map.fire(new Nn(t.type,this._map,t));}mouseout(t){this._map.fire(new Nn(t.type,this._map,t));}touchstart(t){return this._firePreventable(new jn(t.type,this._map,t))}touchmove(t){this._map.fire(new jn(t.type,this._map,t));}touchend(t){this._map.fire(new jn(t.type,this._map,t));}touchcancel(t){this._map.fire(new jn(t.type,this._map,t));}_firePreventable(t){if(this._map.fire(t),t.defaultPrevented)return {}}isEnabled(){return  true}isActive(){return  false}enable(){}disable(){}}class qn{constructor(t){this._map=t;}reset(){this._delayContextMenu=false,this._ignoreContextMenu=true,delete this._contextMenuEvent;}mousemove(t){this._map.fire(new Nn(t.type,this._map,t));}mousedown(){this._delayContextMenu=true,this._ignoreContextMenu=false;}mouseup(){this._delayContextMenu=false,this._contextMenuEvent&&(this._map.fire(new Nn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent);}contextmenu(t){this._delayContextMenu?this._contextMenuEvent=t:this._ignoreContextMenu||this._map.fire(new Nn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault();}isEnabled(){return  true}isActive(){return  false}enable(){}disable(){}}class Hn{constructor(t){this._map=t;}get transform(){return this._map._requestedCameraState||this._map.transform}get center(){return {lng:this.transform.center.lng,lat:this.transform.center.lat}}get zoom(){return this.transform.zoom}get pitch(){return this.transform.pitch}get bearing(){return this.transform.bearing}unproject(t){return this.transform.pointLocation(e.P.convert(t),this._map.terrain)}}class Gn{constructor(t,e){this._map=t,this._tr=new Hn(t),this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1;}isEnabled(){return !!this._enabled}isActive(){return !!this._active}enable(){this.isEnabled()||(this._enabled=true);}disable(){this.isEnabled()&&(this._enabled=false);}mousedown(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(o.disableDrag(),this._startPos=this._lastPos=e,this._active=true);}mousemoveWindow(t,e){if(!this._active)return;const r=e;if(this._lastPos.equals(r)||!this._box&&r.dist(this._startPos)<this._clickTolerance)return;const n=this._startPos;this._lastPos=r,this._box||(this._box=o.create(\"div\",\"maplibregl-boxzoom\",this._container),this._container.classList.add(\"maplibregl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));const i=Math.min(n.x,r.x),a=Math.max(n.x,r.x),s=Math.min(n.y,r.y),l=Math.max(n.y,r.y);o.setTransform(this._box,`translate(${i}px,${s}px)`),this._box.style.width=a-i+\"px\",this._box.style.height=l-s+\"px\";}mouseupWindow(t,r){if(!this._active)return;if(0!==t.button)return;const n=this._startPos,i=r;if(this.reset(),o.suppressClick(),n.x!==i.x||n.y!==i.y)return this._map.fire(new e.k(\"boxzoomend\",{originalEvent:t})),{cameraAnimation:t=>t.fitScreenCoordinates(n,i,this._tr.bearing,{linear:true})};this._fireEvent(\"boxzoomcancel\",t);}keydown(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t));}reset(){this._active=false,this._container.classList.remove(\"maplibregl-crosshair\"),this._box&&(o.remove(this._box),this._box=null),o.enableDrag(),delete this._startPos,delete this._lastPos;}_fireEvent(t,r){return this._map.fire(new e.k(t,{originalEvent:r}))}}function Zn(t,e){if(t.length!==e.length)throw new Error(`The number of touches and points are not equal - touches ${t.length}, points ${e.length}`);const r={};for(let n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}class Wn{constructor(t){this.reset(),this.numTouches=t.numTouches;}reset(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=false;}touchstart(t,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=true),this.aborted||(void 0===this.startTime&&(this.startTime=t.timeStamp),n.length===this.numTouches&&(this.centroid=function(t){const r=new e.P(0,0);for(const e of t)r._add(e);return r.div(t.length)}(r),this.touches=Zn(n,r)));}touchmove(t,e,r){if(this.aborted||!this.centroid)return;const n=Zn(r,e);for(const t in this.touches){const e=this.touches[t],r=n[t];(!r||r.dist(e)>30)&&(this.aborted=true);}}touchend(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=true),0===r.length){const t=!this.aborted&&this.centroid;if(this.reset(),t)return t}}}class Yn{constructor(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset();}reset(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset();}touchstart(t,e,r){this.singleTap.touchstart(t,e,r);}touchmove(t,e,r){this.singleTap.touchmove(t,e,r);}touchend(t,e,r){const n=this.singleTap.touchend(t,e,r);if(n){const e=t.timeStamp-this.lastTime<500,r=!this.lastTap||this.lastTap.dist(n)<30;if(e&&r||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}}}class Xn{constructor(t){this._tr=new Hn(t),this._zoomIn=new Yn({numTouches:1,numTaps:2}),this._zoomOut=new Yn({numTouches:2,numTaps:1}),this.reset();}reset(){this._active=false,this._zoomIn.reset(),this._zoomOut.reset();}touchstart(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r);}touchmove(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r);}touchend(t,e,r){const n=this._zoomIn.touchend(t,e,r),i=this._zoomOut.touchend(t,e,r),a=this._tr;return n?(this._active=true,t.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:e=>e.easeTo({duration:300,zoom:a.zoom+1,around:a.unproject(n)},{originalEvent:t})}):i?(this._active=true,t.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:e=>e.easeTo({duration:300,zoom:a.zoom-1,around:a.unproject(i)},{originalEvent:t})}):void 0}touchcancel(){this.reset();}enable(){this._enabled=true;}disable(){this._enabled=false,this.reset();}isEnabled(){return this._enabled}isActive(){return this._active}}class $n{constructor(t){this._enabled=!!t.enable,this._moveStateManager=t.moveStateManager,this._clickTolerance=t.clickTolerance||1,this._moveFunction=t.move,this._activateOnStart=!!t.activateOnStart,t.assignEvents(this),this.reset();}reset(t){this._active=false,this._moved=false,delete this._lastPoint,this._moveStateManager.endMove(t);}_move(...t){const e=this._moveFunction(...t);if(e.bearingDelta||e.pitchDelta||e.around||e.panDelta)return this._active=true,e}dragStart(t,e){this.isEnabled()&&!this._lastPoint&&this._moveStateManager.isValidStartEvent(t)&&(this._moveStateManager.startMove(t),this._lastPoint=e.length?e[0]:e,this._activateOnStart&&this._lastPoint&&(this._active=true));}dragMove(t,e){if(!this.isEnabled())return;const r=this._lastPoint;if(!r)return;if(t.preventDefault(),!this._moveStateManager.isValidMoveEvent(t))return void this.reset(t);const n=e.length?e[0]:e;return !this._moved&&n.dist(r)<this._clickTolerance?void 0:(this._moved=true,this._lastPoint=n,this._move(r,n))}dragEnd(t){this.isEnabled()&&this._lastPoint&&this._moveStateManager.isValidEndEvent(t)&&(this._moved&&o.suppressClick(),this.reset(t));}enable(){this._enabled=true;}disable(){this._enabled=false,this.reset();}isEnabled(){return this._enabled}isActive(){return this._active}getClickTolerance(){return this._clickTolerance}}const Jn={0:1,2:2};class Kn{constructor(t){this._correctEvent=t.checkCorrectEvent;}startMove(t){const e=o.mouseButton(t);this._eventButton=e;}endMove(t){delete this._eventButton;}isValidStartEvent(t){return this._correctEvent(t)}isValidMoveEvent(t){return !function(t,e){const r=Jn[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton)}isValidEndEvent(t){return o.mouseButton(t)===this._eventButton}}class Qn{constructor(){this._firstTouch=void 0;}_isOneFingerTouch(t){return 1===t.targetTouches.length}_isSameTouchEvent(t){return t.targetTouches[0].identifier===this._firstTouch}startMove(t){const e=t.targetTouches[0].identifier;this._firstTouch=e;}endMove(t){delete this._firstTouch;}isValidStartEvent(t){return this._isOneFingerTouch(t)}isValidMoveEvent(t){return this._isOneFingerTouch(t)&&this._isSameTouchEvent(t)}isValidEndEvent(t){return this._isOneFingerTouch(t)&&this._isSameTouchEvent(t)}}const ti=t=>{t.mousedown=t.dragStart,t.mousemoveWindow=t.dragMove,t.mouseup=t.dragEnd,t.contextmenu=t=>{t.preventDefault();};},ei=({enable:t,clickTolerance:e,bearingDegreesPerPixelMoved:r=.8})=>{const n=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&t.ctrlKey||2===o.mouseButton(t)});return new $n({clickTolerance:e,move:(t,e)=>({bearingDelta:(e.x-t.x)*r}),moveStateManager:n,enable:t,assignEvents:ti})},ri=({enable:t,clickTolerance:e,pitchDegreesPerPixelMoved:r=-0.5})=>{const n=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&t.ctrlKey||2===o.mouseButton(t)});return new $n({clickTolerance:e,move:(t,e)=>({pitchDelta:(e.y-t.y)*r}),moveStateManager:n,enable:t,assignEvents:ti})};class ni{constructor(t,e){this._clickTolerance=t.clickTolerance||1,this._map=e,this.reset();}reset(){this._active=false,this._touches={},this._sum=new e.P(0,0);}_shouldBePrevented(t){return t<(this._map.cooperativeGestures.isEnabled()?2:1)}touchstart(t,e,r){return this._calculateTransform(t,e,r)}touchmove(t,e,r){if(this._active){if(!this._shouldBePrevented(r.length))return t.preventDefault(),this._calculateTransform(t,e,r);this._map.cooperativeGestures.notifyGestureBlocked(\"touch_pan\",t);}}touchend(t,e,r){this._calculateTransform(t,e,r),this._active&&this._shouldBePrevented(r.length)&&this.reset();}touchcancel(){this.reset();}_calculateTransform(t,r,n){n.length>0&&(this._active=true);const i=Zn(n,r),a=new e.P(0,0),o=new e.P(0,0);let s=0;for(const t in i){const e=i[t],r=this._touches[t];r&&(a._add(e),o._add(e.sub(r)),s++,i[t]=e);}if(this._touches=i,this._shouldBePrevented(s)||!o.mag())return;const l=o.div(s);return this._sum._add(l),this._sum.mag()<this._clickTolerance?void 0:{around:a.div(s),panDelta:l}}enable(){this._enabled=true;}disable(){this._enabled=false,this.reset();}isEnabled(){return this._enabled}isActive(){return this._active}}class ii{constructor(){this.reset();}reset(){this._active=false,delete this._firstTwoTouches;}touchstart(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]));}touchmove(t,e,r){if(!this._firstTwoTouches)return;t.preventDefault();const[n,i]=this._firstTwoTouches,a=ai(r,e,n),o=ai(r,e,i);if(!a||!o)return;const s=this._aroundCenter?null:a.add(o).div(2);return this._move([a,o],s,t)}touchend(t,e,r){if(!this._firstTwoTouches)return;const[n,i]=this._firstTwoTouches,a=ai(r,e,n),s=ai(r,e,i);a&&s||(this._active&&o.suppressClick(),this.reset());}touchcancel(){this.reset();}enable(t){this._enabled=true,this._aroundCenter=!!t&&\"center\"===t.around;}disable(){this._enabled=false,this.reset();}isEnabled(){return !!this._enabled}isActive(){return !!this._active}}function ai(t,e,r){for(let n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}function oi(t,e){return Math.log(t/e)/Math.LN2}class si extends ii{reset(){super.reset(),delete this._distance,delete this._startDistance;}_start(t){this._startDistance=this._distance=t[0].dist(t[1]);}_move(t,e){const r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=true,{zoomDelta:oi(this._distance,r),pinchAround:e}}}function li(t,e){return 180*t.angleWith(e)/Math.PI}class ci extends ii{reset(){super.reset(),delete this._minDiameter,delete this._startVector,delete this._vector;}_start(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1]);}_move(t,e,r){const n=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=true,{bearingDelta:li(this._vector,n),pinchAround:e}}_isBelowThreshold(t){this._minDiameter=Math.min(this._minDiameter,t.mag());const e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e}}function ui(t){return Math.abs(t.y)>Math.abs(t.x)}class hi extends ii{constructor(t){super(),this._currentTouchCount=0,this._map=t;}reset(){super.reset(),this._valid=void 0,delete this._firstMove,delete this._lastPoints;}touchstart(t,e,r){super.touchstart(t,e,r),this._currentTouchCount=r.length;}_start(t){this._lastPoints=t,ui(t[0].sub(t[1]))&&(this._valid=false);}_move(t,e,r){if(this._map.cooperativeGestures.isEnabled()&&this._currentTouchCount<3)return;const n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);return this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid?(this._lastPoints=t,this._active=true,{pitchDelta:(n.y+i.y)/2*-0.5}):void 0}gestureBeginsVertically(t,e,r){if(void 0!==this._valid)return this._valid;const n=t.mag()>=2,i=e.mag()>=2;if(!n&&!i)return;if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;const a=t.y>0==e.y>0;return ui(t)&&ui(e)&&a}}const fi={panStep:100,bearingStep:15,pitchStep:10};class pi{constructor(t){this._tr=new Hn(t);const e=fi;this._panStep=e.panStep,this._bearingStep=e.bearingStep,this._pitchStep=e.pitchStep,this._rotationDisabled=false;}reset(){this._active=false;}keydown(t){if(t.altKey||t.ctrlKey||t.metaKey)return;let e=0,r=0,n=0,i=0,a=0;switch(t.keyCode){case 61:case 107:case 171:case 187:e=1;break;case 189:case 109:case 173:e=-1;break;case 37:t.shiftKey?r=-1:(t.preventDefault(),i=-1);break;case 39:t.shiftKey?r=1:(t.preventDefault(),i=1);break;case 38:t.shiftKey?n=1:(t.preventDefault(),a=-1);break;case 40:t.shiftKey?n=-1:(t.preventDefault(),a=1);break;default:return}return this._rotationDisabled&&(r=0,n=0),{cameraAnimation:o=>{const s=this._tr;o.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:e?Math.round(s.zoom)+e*(t.shiftKey?2:1):s.zoom,bearing:s.bearing+r*this._bearingStep,pitch:s.pitch+n*this._pitchStep,offset:[-i*this._panStep,-a*this._panStep],center:s.center},{originalEvent:t});}}}enable(){this._enabled=true;}disable(){this._enabled=false,this.reset();}isEnabled(){return this._enabled}isActive(){return this._active}disableRotation(){this._rotationDisabled=true;}enableRotation(){this._rotationDisabled=false;}}function di(t){return t*(2-t)}const mi=4.000244140625;class gi{constructor(t,e){this._onTimeout=t=>{this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t);},this._map=t,this._tr=new Hn(t),this._triggerRenderFrame=e,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222;}setZoomRate(t){this._defaultZoomRate=t;}setWheelZoomRate(t){this._wheelZoomRate=t;}isEnabled(){return !!this._enabled}isActive(){return !!this._active||void 0!==this._finishTimeout}isZooming(){return !!this._zooming}enable(t){this.isEnabled()||(this._enabled=true,this._aroundCenter=!!t&&\"center\"===t.around);}disable(){this.isEnabled()&&(this._enabled=false);}_shouldBePrevented(t){return !!this._map.cooperativeGestures.isEnabled()&&!(t.ctrlKey||this._map.cooperativeGestures.isBypassed(t))}wheel(t){if(!this.isEnabled())return;if(this._shouldBePrevented(t))return void this._map.cooperativeGestures.notifyGestureBlocked(\"wheel_zoom\",t);let e=t.deltaMode===WheelEvent.DOM_DELTA_LINE?40*t.deltaY:t.deltaY;const r=a.now(),n=r-(this._lastWheelEventTime||0);this._lastWheelEventTime=r,0!==e&&e%mi==0?this._type=\"wheel\":0!==e&&Math.abs(e)<4?this._type=\"trackpad\":n>400?(this._type=null,this._lastValue=e,this._timeout=setTimeout(this._onTimeout,40,t)):this._type||(this._type=Math.abs(n*e)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,e+=this._lastValue)),t.shiftKey&&e&&(e/=4),this._type&&(this._lastWheelEvent=t,this._delta-=e,this._active||this._start(t)),t.preventDefault();}_start(t){if(!this._delta)return;this._frameId&&(this._frameId=null),this._active=true,this.isZooming()||(this._zooming=true),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);const r=o.mousePos(this._map.getCanvas(),t),n=this._tr;r.y>n.transform.height/2-n.transform.getHorizon()?this._around=e.N.convert(this._aroundCenter?n.center:n.unproject(r)):this._around=e.N.convert(n.center),this._aroundPoint=n.transform.locationPoint(this._around),this._frameId||(this._frameId=true,this._triggerRenderFrame());}renderFrame(){if(!this._frameId)return;if(this._frameId=null,!this.isActive())return;const t=this._tr.transform;if(0!==this._delta){const e=\"wheel\"===this._type&&Math.abs(this._delta)>mi?this._wheelZoomRate:this._defaultZoomRate;let r=2/(1+Math.exp(-Math.abs(this._delta*e)));this._delta<0&&0!==r&&(r=1/r);const n=\"number\"==typeof this._targetZoom?t.zoomScale(this._targetZoom):t.scale;this._targetZoom=Math.min(t.maxZoom,Math.max(t.minZoom,t.scaleZoom(n*r))),\"wheel\"===this._type&&(this._startZoom=t.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0;}const r=\"number\"==typeof this._targetZoom?this._targetZoom:t.zoom,n=this._startZoom,i=this._easing;let o,s=false;const l=a.now()-this._lastWheelEventTime;if(\"wheel\"===this._type&&n&&i&&l){const t=Math.min(l/200,1),a=i(t);o=e.z.number(n,r,a),t<1?this._frameId||(this._frameId=true):s=true;}else o=r,s=true;return this._active=true,s&&(this._active=false,this._finishTimeout=setTimeout((()=>{this._zooming=false,this._triggerRenderFrame(),delete this._targetZoom,delete this._finishTimeout;}),200)),{noInertia:true,needsRenderFrame:!s,zoomDelta:o-t.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}_smoothOutEasing(t){let r=e.b9;if(this._prevEase){const t=this._prevEase,n=(a.now()-t.start)/t.duration,i=t.easing(n+.01)-t.easing(n),o=.27/Math.sqrt(i*i+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=e.b8(o,s,.25,1);}return this._prevEase={start:a.now(),duration:t,easing:r},r}reset(){this._active=false,this._zooming=false,delete this._targetZoom,this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);}}class yi{constructor(t,e){this._clickZoom=t,this._tapZoom=e;}enable(){this._clickZoom.enable(),this._tapZoom.enable();}disable(){this._clickZoom.disable(),this._tapZoom.disable();}isEnabled(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()}isActive(){return this._clickZoom.isActive()||this._tapZoom.isActive()}}class vi{constructor(t){this._tr=new Hn(t),this.reset();}reset(){this._active=false;}dblclick(t,e){return t.preventDefault(),{cameraAnimation:r=>{r.easeTo({duration:300,zoom:this._tr.zoom+(t.shiftKey?-1:1),around:this._tr.unproject(e)},{originalEvent:t});}}}enable(){this._enabled=true;}disable(){this._enabled=false,this.reset();}isEnabled(){return this._enabled}isActive(){return this._active}}class xi{constructor(){this._tap=new Yn({numTouches:1,numTaps:1}),this.reset();}reset(){this._active=false,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,delete this._tapPoint,this._tap.reset();}touchstart(t,e,r){if(!this._swipePoint)if(this._tapTime){const n=e[0],i=t.timeStamp-this._tapTime<500,a=this._tapPoint.dist(n)<30;i&&a?r.length>0&&(this._swipePoint=n,this._swipeTouch=r[0].identifier):this.reset();}else this._tap.touchstart(t,e,r);}touchmove(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;const n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=true,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r);}touchend(t,e,r){if(this._tapTime)this._swipePoint&&0===r.length&&this.reset();else {const n=this._tap.touchend(t,e,r);n&&(this._tapTime=t.timeStamp,this._tapPoint=n);}}touchcancel(){this.reset();}enable(){this._enabled=true;}disable(){this._enabled=false,this.reset();}isEnabled(){return this._enabled}isActive(){return this._active}}class _i{constructor(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r;}enable(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"maplibregl-touch-drag-pan\");}disable(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"maplibregl-touch-drag-pan\");}isEnabled(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()}isActive(){return this._mousePan.isActive()||this._touchPan.isActive()}}class bi{constructor(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r;}enable(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable();}disable(){this._mouseRotate.disable(),this._mousePitch.disable();}isEnabled(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())}isActive(){return this._mouseRotate.isActive()||this._mousePitch.isActive()}}class wi{constructor(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=false,this._enabled=true;}enable(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"maplibregl-touch-zoom-rotate\");}disable(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"maplibregl-touch-zoom-rotate\");}isEnabled(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()}isActive(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()}disableRotation(){this._rotationDisabled=true,this._touchRotate.disable();}enableRotation(){this._rotationDisabled=false,this._touchZoom.isEnabled()&&this._touchRotate.enable();}}class Ti{constructor(t,e){this._bypassKey=-1!==navigator.userAgent.indexOf(\"Mac\")?\"metaKey\":\"ctrlKey\",this._map=t,this._options=e,this._enabled=false;}isActive(){return  false}reset(){}_setupUI(){if(this._container)return;const t=this._map.getCanvasContainer();t.classList.add(\"maplibregl-cooperative-gestures\"),this._container=o.create(\"div\",\"maplibregl-cooperative-gesture-screen\",t);let e=this._map._getUIString(\"CooperativeGesturesHandler.WindowsHelpText\");\"metaKey\"===this._bypassKey&&(e=this._map._getUIString(\"CooperativeGesturesHandler.MacHelpText\"));const r=this._map._getUIString(\"CooperativeGesturesHandler.MobileHelpText\"),n=document.createElement(\"div\");n.className=\"maplibregl-desktop-message\",n.textContent=e,this._container.appendChild(n);const i=document.createElement(\"div\");i.className=\"maplibregl-mobile-message\",i.textContent=r,this._container.appendChild(i),this._container.setAttribute(\"aria-hidden\",\"true\");}_destroyUI(){this._container&&(o.remove(this._container),this._map.getCanvasContainer().classList.remove(\"maplibregl-cooperative-gestures\")),delete this._container;}enable(){this._setupUI(),this._enabled=true;}disable(){this._enabled=false,this._destroyUI();}isEnabled(){return this._enabled}isBypassed(t){return t[this._bypassKey]}notifyGestureBlocked(t,r){this._enabled&&(this._map.fire(new e.k(\"cooperativegestureprevented\",{gestureType:t,originalEvent:r})),this._container.classList.add(\"maplibregl-show\"),setTimeout((()=>{this._container.classList.remove(\"maplibregl-show\");}),100));}}const ki=t=>t.zoom||t.drag||t.pitch||t.rotate;class Ai extends e.k{}function Mi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}class Si{constructor(t,e){this.handleWindowEvent=t=>{this.handleEvent(t,`${t.type}Window`);},this.handleEvent=(t,e)=>{if(\"blur\"===t.type)return void this.stop(true);this._updatingCamera=true;const r=\"renderFrame\"===t.type?void 0:t,n={needsRenderFrame:false},i={},a={},s=t.touches,l=s?this._getMapTouches(s):void 0,c=l?o.touchPos(this._map.getCanvas(),l):o.mousePos(this._map.getCanvas(),t);for(const{handlerName:o,handler:s,allowed:u}of this._handlers){if(!s.isEnabled())continue;let h;this._blockedByActive(a,u,o)?s.reset():s[e||t.type]&&(h=s[e||t.type](t,c,l),this.mergeHandlerResult(n,i,h,o,r),h&&h.needsRenderFrame&&this._triggerRenderFrame()),(h||s.isActive())&&(a[o]=s);}const u={};for(const t in this._previousActiveHandlers)a[t]||(u[t]=r);this._previousActiveHandlers=a,(Object.keys(u).length||Mi(n))&&(this._changes.push([n,i,u]),this._triggerRenderFrame()),(Object.keys(a).length||Mi(n))&&this._map._stop(true),this._updatingCamera=false;const{cameraAnimation:h}=n;h&&(this._inertia.clear(),this._fireEvents({},{},true),this._changes=[],h(this._map));},this._map=t,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Rn(t),this._bearingSnap=e.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(e);const r=this._el;this._listeners=[[r,\"touchstart\",{passive:true}],[r,\"touchmove\",{passive:false}],[r,\"touchend\",void 0],[r,\"touchcancel\",void 0],[r,\"mousedown\",void 0],[r,\"mousemove\",void 0],[r,\"mouseup\",void 0],[document,\"mousemove\",{capture:true}],[document,\"mouseup\",void 0],[r,\"mouseover\",void 0],[r,\"mouseout\",void 0],[r,\"dblclick\",void 0],[r,\"click\",void 0],[r,\"keydown\",{capture:false}],[r,\"keyup\",void 0],[r,\"wheel\",{passive:false}],[r,\"contextmenu\",void 0],[window,\"blur\",void 0]];for(const[t,e,r]of this._listeners)o.addEventListener(t,e,t===document?this.handleWindowEvent:this.handleEvent,r);}destroy(){for(const[t,e,r]of this._listeners)o.removeEventListener(t,e,t===document?this.handleWindowEvent:this.handleEvent,r);}_addDefaultHandlers(t){const e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Vn(e,t));const n=e.boxZoom=new Gn(e,t);this._add(\"boxZoom\",n),t.interactive&&t.boxZoom&&n.enable();const i=e.cooperativeGestures=new Ti(e,t.cooperativeGestures);this._add(\"cooperativeGestures\",i),t.cooperativeGestures&&i.enable();const a=new Xn(e),s=new vi(e);e.doubleClickZoom=new yi(s,a),this._add(\"tapZoom\",a),this._add(\"clickZoom\",s),t.interactive&&t.doubleClickZoom&&e.doubleClickZoom.enable();const l=new xi;this._add(\"tapDragZoom\",l);const c=e.touchPitch=new hi(e);this._add(\"touchPitch\",c),t.interactive&&t.touchPitch&&e.touchPitch.enable(t.touchPitch);const u=ei(t),h=ri(t);e.dragRotate=new bi(t,u,h),this._add(\"mouseRotate\",u,[\"mousePitch\"]),this._add(\"mousePitch\",h,[\"mouseRotate\"]),t.interactive&&t.dragRotate&&e.dragRotate.enable();const f=(({enable:t,clickTolerance:e})=>{const r=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&!t.ctrlKey});return new $n({clickTolerance:e,move:(t,e)=>({around:e,panDelta:e.sub(t)}),activateOnStart:true,moveStateManager:r,enable:t,assignEvents:ti})})(t),p=new ni(t,e);e.dragPan=new _i(r,f,p),this._add(\"mousePan\",f),this._add(\"touchPan\",p,[\"touchZoom\",\"touchRotate\"]),t.interactive&&t.dragPan&&e.dragPan.enable(t.dragPan);const d=new ci,m=new si;e.touchZoomRotate=new wi(r,m,d,l),this._add(\"touchRotate\",d,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",m,[\"touchPan\",\"touchRotate\"]),t.interactive&&t.touchZoomRotate&&e.touchZoomRotate.enable(t.touchZoomRotate);const g=e.scrollZoom=new gi(e,(()=>this._triggerRenderFrame()));this._add(\"scrollZoom\",g,[\"mousePan\"]),t.interactive&&t.scrollZoom&&e.scrollZoom.enable(t.scrollZoom);const y=e.keyboard=new pi(e);this._add(\"keyboard\",y),t.interactive&&t.keyboard&&e.keyboard.enable(),this._add(\"blockableMapEvent\",new qn(e));}_add(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e;}stop(t){if(!this._updatingCamera){for(const{handler:t}of this._handlers)t.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[];}}isActive(){for(const{handler:t}of this._handlers)if(t.isActive())return  true;return  false}isZooming(){return !!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()}isRotating(){return !!this._eventsInProgress.rotate}isMoving(){return Boolean(ki(this._eventsInProgress))||this.isZooming()}_blockedByActive(t,e,r){for(const n in t)if(n!==r&&(!e||e.indexOf(n)<0))return  true;return  false}_getMapTouches(t){const e=[];for(const r of t){const t=r.target;this._el.contains(t)&&e.push(r);}return e}mergeHandlerResult(t,r,n,i,a){if(!n)return;e.e(t,n);const o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o);}_applyChanges(){const t={},r={},n={};for(const[i,a,o]of this._changes)i.panDelta&&(t.panDelta=(t.panDelta||new e.P(0,0))._add(i.panDelta)),i.zoomDelta&&(t.zoomDelta=(t.zoomDelta||0)+i.zoomDelta),i.bearingDelta&&(t.bearingDelta=(t.bearingDelta||0)+i.bearingDelta),i.pitchDelta&&(t.pitchDelta=(t.pitchDelta||0)+i.pitchDelta),void 0!==i.around&&(t.around=i.around),void 0!==i.pinchAround&&(t.pinchAround=i.pinchAround),i.noInertia&&(t.noInertia=i.noInertia),e.e(r,a),e.e(n,o);this._updateMapTransform(t,r,n),this._changes=[];}_updateMapTransform(t,e,r){const n=this._map,i=n._getTransformForUpdate(),a=n.terrain;if(!(Mi(t)||a&&this._terrainMovement))return this._fireEvents(e,r,true);let{panDelta:o,zoomDelta:s,bearingDelta:l,pitchDelta:c,around:u,pinchAround:h}=t;void 0!==h&&(u=h),n._stop(true),u=u||n.transform.centerPoint;const f=i.pointLocation(o?u.sub(o):u);l&&(i.bearing+=l),c&&(i.pitch+=c),s&&(i.zoom+=s),a?this._terrainMovement||!e.drag&&!e.zoom?e.drag&&this._terrainMovement?i.center=i.pointLocation(i.centerPoint.sub(o)):i.setLocationAtPoint(f,u):(this._terrainMovement=true,this._map._elevationFreeze=true,i.setLocationAtPoint(f,u)):i.setLocationAtPoint(f,u),n._applyUpdatedTransform(i),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,true);}_fireEvents(t,r,n){const i=ki(this._eventsInProgress),o=ki(t),s={};for(const e in t){const{originalEvent:r}=t[e];this._eventsInProgress[e]||(s[`${e}start`]=r),this._eventsInProgress[e]=t[e];}!i&&o&&this._fireEvent(\"movestart\",o.originalEvent);for(const t in s)this._fireEvent(t,s[t]);o&&this._fireEvent(\"move\",o.originalEvent);for(const e in t){const{originalEvent:r}=t[e];this._fireEvent(e,r);}const l={};let c;for(const t in this._eventsInProgress){const{handlerName:e,originalEvent:n}=this._eventsInProgress[t];this._handlersById[e].isActive()||(delete this._eventsInProgress[t],c=r[e]||n,l[`${t}end`]=c);}for(const t in l)this._fireEvent(t,l[t]);const u=ki(this._eventsInProgress),h=(i||o)&&!u;if(h&&this._terrainMovement){this._map._elevationFreeze=false,this._terrainMovement=false;const t=this._map._getTransformForUpdate();t.recalculateZoom(this._map.terrain),this._map._applyUpdatedTransform(t);}if(n&&h){this._updatingCamera=true;const t=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),r=t=>0!==t&&-this._bearingSnap<t&&t<this._bearingSnap;!t||!t.essential&&a.prefersReducedMotion?(this._map.fire(new e.k(\"moveend\",{originalEvent:c})),r(this._map.getBearing())&&this._map.resetNorth()):(r(t.bearing||this._map.getBearing())&&(t.bearing=0),t.freezeElevation=true,this._map.easeTo(t,{originalEvent:c})),this._updatingCamera=false;}}_fireEvent(t,r){this._map.fire(new e.k(t,r?{originalEvent:r}:{}));}_requestFrame(){return this._map.triggerRepaint(),this._map._renderTaskQueue.add((t=>{delete this._frameId,this.handleEvent(new Ai(\"renderFrame\",{timeStamp:t})),this._applyChanges();}))}_triggerRenderFrame(){ void 0===this._frameId&&(this._frameId=this._requestFrame());}}class Ei extends e.E{constructor(t,e){super(),this._renderFrameCallback=()=>{const t=Math.min((a.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(t)),t<1&&this._easeFrameId?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop();},this._moving=false,this._zooming=false,this.transform=t,this._bearingSnap=e.bearingSnap,this.on(\"moveend\",(()=>{delete this._requestedCameraState;}));}getCenter(){return new e.N(this.transform.center.lng,this.transform.center.lat)}setCenter(t,e){return this.jumpTo({center:t},e)}panBy(t,r,n){return t=e.P.convert(t).mult(-1),this.panTo(this.transform.center,e.e({offset:t},r),n)}panTo(t,r,n){return this.easeTo(e.e({center:t},r),n)}getZoom(){return this.transform.zoom}setZoom(t,e){return this.jumpTo({zoom:t},e),this}zoomTo(t,r,n){return this.easeTo(e.e({zoom:t},r),n)}zoomIn(t,e){return this.zoomTo(this.getZoom()+1,t,e),this}zoomOut(t,e){return this.zoomTo(this.getZoom()-1,t,e),this}getBearing(){return this.transform.bearing}setBearing(t,e){return this.jumpTo({bearing:t},e),this}getPadding(){return this.transform.padding}setPadding(t,e){return this.jumpTo({padding:t},e),this}rotateTo(t,r,n){return this.easeTo(e.e({bearing:t},r),n)}resetNorth(t,r){return this.rotateTo(0,e.e({duration:1e3},t),r),this}resetNorthPitch(t,r){return this.easeTo(e.e({bearing:0,pitch:0,duration:1e3},t),r),this}snapToNorth(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this}getPitch(){return this.transform.pitch}setPitch(t,e){return this.jumpTo({pitch:t},e),this}cameraForBounds(t,e){t=X.convert(t);const r=e&&e.bearing||0;return this._cameraForBoxAndBearing(t.getNorthWest(),t.getSouthEast(),r,e)}_cameraForBoxAndBearing(t,r,n,i){const a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=e.e({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){const t=i.padding;i.padding={top:t,bottom:t,right:t,left:t};}i.padding=e.e(a,i.padding);const o=this.transform,s=o.padding,l=new X(t,r),c=o.project(l.getNorthWest()),u=o.project(l.getNorthEast()),h=o.project(l.getSouthEast()),f=o.project(l.getSouthWest()),p=e.ba(-n),d=c.rotate(p),m=u.rotate(p),g=h.rotate(p),y=f.rotate(p),v=new e.P(Math.max(d.x,m.x,y.x,g.x),Math.max(d.y,m.y,y.y,g.y)),x=new e.P(Math.min(d.x,m.x,y.x,g.x),Math.min(d.y,m.y,y.y,g.y)),_=v.sub(x),b=(o.width-(s.left+s.right+i.padding.left+i.padding.right))/_.x,w=(o.height-(s.top+s.bottom+i.padding.top+i.padding.bottom))/_.y;if(w<0||b<0)return void e.w(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");const T=Math.min(o.scaleZoom(o.scale*Math.min(b,w)),i.maxZoom),k=e.P.convert(i.offset),A=(i.padding.left-i.padding.right)/2,M=(i.padding.top-i.padding.bottom)/2,S=new e.P(A,M).rotate(e.ba(n)),E=k.add(S).mult(o.scale/o.zoomScale(T));return {center:o.unproject(c.add(h).div(2).sub(E)),zoom:T,bearing:n}}fitBounds(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)}fitScreenCoordinates(t,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(e.P.convert(t)),this.transform.pointLocation(e.P.convert(r)),n,i),i,a)}_fitInternal(t,r,n){return t?(delete(r=e.e(t,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this}jumpTo(t,r){this.stop();const n=this._getTransformForUpdate();let i=false,a=false,o=false;return \"zoom\"in t&&n.zoom!==+t.zoom&&(i=true,n.zoom=+t.zoom),void 0!==t.center&&(n.center=e.N.convert(t.center)),\"bearing\"in t&&n.bearing!==+t.bearing&&(a=true,n.bearing=+t.bearing),\"pitch\"in t&&n.pitch!==+t.pitch&&(o=true,n.pitch=+t.pitch),null==t.padding||n.isPaddingEqual(t.padding)||(n.padding=t.padding),this._applyUpdatedTransform(n),this.fire(new e.k(\"movestart\",r)).fire(new e.k(\"move\",r)),i&&this.fire(new e.k(\"zoomstart\",r)).fire(new e.k(\"zoom\",r)).fire(new e.k(\"zoomend\",r)),a&&this.fire(new e.k(\"rotatestart\",r)).fire(new e.k(\"rotate\",r)).fire(new e.k(\"rotateend\",r)),o&&this.fire(new e.k(\"pitchstart\",r)).fire(new e.k(\"pitch\",r)).fire(new e.k(\"pitchend\",r)),this.fire(new e.k(\"moveend\",r))}calculateCameraOptionsFromTo(t,r,n,i=0){const a=e.Z.fromLngLat(t,r),o=e.Z.fromLngLat(n,i),s=o.x-a.x,l=o.y-a.y,c=o.z-a.z,u=Math.hypot(s,l,c);if(0===u)throw new Error(\"Can't calculate camera options with same From and To\");const h=Math.hypot(s,l),f=this.transform.scaleZoom(this.transform.cameraToCenterDistance/u/this.transform.tileSize),p=180*Math.atan2(s,-l)/Math.PI;let d=180*Math.acos(h/u)/Math.PI;return d=c<0?90-d:90+d,{center:o.toLngLat(),zoom:f,pitch:d,bearing:p}}easeTo(t,r){var n;this._stop(false,t.easeId),(false===(t=e.e({offset:[0,0],duration:500,easing:e.b9},t)).animate||!t.essential&&a.prefersReducedMotion)&&(t.duration=0);const i=this._getTransformForUpdate(),o=i.zoom,s=i.bearing,l=i.pitch,c=i.padding,u=\"bearing\"in t?this._normalizeBearing(t.bearing,s):s,h=\"pitch\"in t?+t.pitch:l,f=\"padding\"in t?t.padding:i.padding,p=e.P.convert(t.offset);let d=i.centerPoint.add(p);const m=i.pointLocation(d),{center:g,zoom:y}=i.getConstrained(e.N.convert(t.center||m),null!==(n=t.zoom)&&void 0!==n?n:o);this._normalizeCenter(g,i);const v=i.project(m),x=i.project(g).sub(v),_=i.zoomScale(y-o);let b,w;t.around&&(b=e.N.convert(t.around),w=i.locationPoint(b));const T={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||y!==o,this._rotating=this._rotating||s!==u,this._pitching=this._pitching||h!==l,this._padding=!i.isPaddingEqual(f),this._easeId=t.easeId,this._prepareEase(r,t.noMoveStart,T),this.terrain&&this._prepareElevation(g),this._ease((n=>{if(this._zooming&&(i.zoom=e.z.number(o,y,n)),this._rotating&&(i.bearing=e.z.number(s,u,n)),this._pitching&&(i.pitch=e.z.number(l,h,n)),this._padding&&(i.interpolatePadding(c,f,n),d=i.centerPoint.add(p)),this.terrain&&!t.freezeElevation&&this._updateElevation(n),b)i.setLocationAtPoint(b,w);else {const t=i.zoomScale(i.zoom-o),e=y>o?Math.min(2,_):Math.max(.5,_),r=Math.pow(e,1-n),a=i.unproject(v.add(x.mult(n*r)).mult(t));i.setLocationAtPoint(i.renderWorldCopies?a.wrap():a,d);}this._applyUpdatedTransform(i),this._fireMoveEvents(r);}),(e=>{this.terrain&&t.freezeElevation&&this._finalizeElevation(),this._afterEase(r,e);}),t),this}_prepareEase(t,r,n={}){this._moving=true,r||n.moving||this.fire(new e.k(\"movestart\",t)),this._zooming&&!n.zooming&&this.fire(new e.k(\"zoomstart\",t)),this._rotating&&!n.rotating&&this.fire(new e.k(\"rotatestart\",t)),this._pitching&&!n.pitching&&this.fire(new e.k(\"pitchstart\",t));}_prepareElevation(t){this._elevationCenter=t,this._elevationStart=this.transform.elevation,this._elevationTarget=this.terrain.getElevationForLngLatZoom(t,this.transform.tileZoom),this._elevationFreeze=true;}_updateElevation(t){this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);const r=this.terrain.getElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);if(t<1&&r!==this._elevationTarget){const e=this._elevationTarget-this._elevationStart,n=(r-(e*t+this._elevationStart))/(1-t);this._elevationStart+=t*(e-n),this._elevationTarget=r;}this.transform.elevation=e.z.number(this._elevationStart,this._elevationTarget,t);}_finalizeElevation(){this._elevationFreeze=false,this.transform.recalculateZoom(this.terrain);}_getTransformForUpdate(){return this.transformCameraUpdate||this.terrain?(this._requestedCameraState||(this._requestedCameraState=this.transform.clone()),this._requestedCameraState):this.transform}_elevateCameraIfInsideTerrain(t){const e=t.getCameraPosition(),r=this.terrain.getElevationForLngLatZoom(e.lngLat,t.zoom);if(e.altitude<r){const n=this.calculateCameraOptionsFromTo(e.lngLat,r,t.center,t.elevation);return {pitch:n.pitch,zoom:n.zoom}}return {}}_applyUpdatedTransform(t){const e=[];if(this.terrain&&e.push((t=>this._elevateCameraIfInsideTerrain(t))),this.transformCameraUpdate&&e.push((t=>this.transformCameraUpdate(t))),!e.length)return;const r=t.clone();for(const t of e){const e=r.clone(),{center:n,zoom:i,pitch:a,bearing:o,elevation:s}=t(e);n&&(e.center=n),void 0!==i&&(e.zoom=i),void 0!==a&&(e.pitch=a),void 0!==o&&(e.bearing=o),void 0!==s&&(e.elevation=s),r.apply(e);}this.transform.apply(r);}_fireMoveEvents(t){this.fire(new e.k(\"move\",t)),this._zooming&&this.fire(new e.k(\"zoom\",t)),this._rotating&&this.fire(new e.k(\"rotate\",t)),this._pitching&&this.fire(new e.k(\"pitch\",t));}_afterEase(t,r){if(this._easeId&&r&&this._easeId===r)return;delete this._easeId;const n=this._zooming,i=this._rotating,a=this._pitching;this._moving=false,this._zooming=false,this._rotating=false,this._pitching=false,this._padding=false,n&&this.fire(new e.k(\"zoomend\",t)),i&&this.fire(new e.k(\"rotateend\",t)),a&&this.fire(new e.k(\"pitchend\",t)),this.fire(new e.k(\"moveend\",t));}flyTo(t,r){var n;if(!t.essential&&a.prefersReducedMotion){const n=e.M(t,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(n,r)}this.stop(),t=e.e({offset:[0,0],speed:1.2,curve:1.42,easing:e.b9},t);const i=this._getTransformForUpdate(),o=i.zoom,s=i.bearing,l=i.pitch,c=i.padding,u=\"bearing\"in t?this._normalizeBearing(t.bearing,s):s,h=\"pitch\"in t?+t.pitch:l,f=\"padding\"in t?t.padding:i.padding,p=e.P.convert(t.offset);let d=i.centerPoint.add(p);const m=i.pointLocation(d),{center:g,zoom:y}=i.getConstrained(e.N.convert(t.center||m),null!==(n=t.zoom)&&void 0!==n?n:o);this._normalizeCenter(g,i);const v=i.zoomScale(y-o),x=i.project(m),_=i.project(g).sub(x);let b=t.curve;const w=Math.max(i.width,i.height),T=w/v,k=_.mag();if(\"minZoom\"in t){const r=e.ad(Math.min(t.minZoom,o,y),i.minZoom,i.maxZoom),n=w/i.zoomScale(r-o);b=Math.sqrt(n/k*2);}const A=b*b;function M(t){const e=(T*T-w*w+(t?-1:1)*A*A*k*k)/(2*(t?T:w)*A*k);return Math.log(Math.sqrt(e*e+1)-e)}function S(t){return (Math.exp(t)-Math.exp(-t))/2}function E(t){return (Math.exp(t)+Math.exp(-t))/2}const C=M(false);let L=function(t){return E(C)/E(C+b*t)},I=function(t){return w*((E(C)*(S(e=C+b*t)/E(e))-S(C))/A)/k;var e;},P=(M(true)-C)/b;if(Math.abs(k)<1e-6||!isFinite(P)){if(Math.abs(w-T)<1e-6)return this.easeTo(t,r);const e=T<w?-1:1;P=Math.abs(Math.log(T/w))/b,I=()=>0,L=t=>Math.exp(e*b*t);}if(\"duration\"in t)t.duration=+t.duration;else {const e=\"screenSpeed\"in t?+t.screenSpeed/b:+t.speed;t.duration=1e3*P/e;}return t.maxDuration&&t.duration>t.maxDuration&&(t.duration=0),this._zooming=true,this._rotating=s!==u,this._pitching=h!==l,this._padding=!i.isPaddingEqual(f),this._prepareEase(r,false),this.terrain&&this._prepareElevation(g),this._ease((n=>{const a=n*P,m=1/L(a);i.zoom=1===n?y:o+i.scaleZoom(m),this._rotating&&(i.bearing=e.z.number(s,u,n)),this._pitching&&(i.pitch=e.z.number(l,h,n)),this._padding&&(i.interpolatePadding(c,f,n),d=i.centerPoint.add(p)),this.terrain&&!t.freezeElevation&&this._updateElevation(n);const v=1===n?g:i.unproject(x.add(_.mult(I(a))).mult(m));i.setLocationAtPoint(i.renderWorldCopies?v.wrap():v,d),this._applyUpdatedTransform(i),this._fireMoveEvents(r);}),(()=>{this.terrain&&t.freezeElevation&&this._finalizeElevation(),this._afterEase(r);}),t),this}isEasing(){return !!this._easeFrameId}stop(){return this._stop()}_stop(t,e){var r;if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){const t=this._onEaseEnd;delete this._onEaseEnd,t.call(this,e);}return t||null===(r=this.handlers)||void 0===r||r.stop(false),this}_ease(t,e,r){ false===r.animate||0===r.duration?(t(1),e()):(this._easeStart=a.now(),this._easeOptions=r,this._onEaseFrame=t,this._onEaseEnd=e,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback));}_normalizeBearing(t,r){t=e.b3(t,-180,180);const n=Math.abs(t-r);return Math.abs(t-360-r)<n&&(t-=360),Math.abs(t+360-r)<n&&(t+=360),t}_normalizeCenter(t,e){if(!e.renderWorldCopies||e.lngRange)return;const r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0;}queryTerrainElevation(t){return this.terrain?this.terrain.getElevationForLngLatZoom(e.N.convert(t),this.transform.tileZoom)-this.transform.elevation:null}}const Ci={compact:true,customAttribution:'<a href=\"https://maplibre.org/\" target=\"_blank\">MapLibre</a>'};class Li{constructor(t=Ci){this._toggleAttribution=()=>{this._container.classList.contains(\"maplibregl-compact\")&&(this._container.classList.contains(\"maplibregl-compact-show\")?(this._container.setAttribute(\"open\",\"\"),this._container.classList.remove(\"maplibregl-compact-show\")):(this._container.classList.add(\"maplibregl-compact-show\"),this._container.removeAttribute(\"open\")));},this._updateData=t=>{!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType&&\"terrain\"!==t.type||this._updateAttributions();},this._updateCompact=()=>{this._map.getCanvasContainer().offsetWidth<=640||this._compact?false===this._compact?this._container.setAttribute(\"open\",\"\"):this._container.classList.contains(\"maplibregl-compact\")||this._container.classList.contains(\"maplibregl-attrib-empty\")||(this._container.setAttribute(\"open\",\"\"),this._container.classList.add(\"maplibregl-compact\",\"maplibregl-compact-show\")):(this._container.setAttribute(\"open\",\"\"),this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.remove(\"maplibregl-compact\",\"maplibregl-compact-show\"));},this._updateCompactMinimize=()=>{this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.contains(\"maplibregl-compact-show\")&&this._container.classList.remove(\"maplibregl-compact-show\");},this.options=t;}getDefaultPosition(){return \"bottom-right\"}onAdd(t){return this._map=t,this._compact=this.options.compact,this._container=o.create(\"details\",\"maplibregl-ctrl maplibregl-ctrl-attrib\"),this._compactButton=o.create(\"summary\",\"maplibregl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=o.create(\"div\",\"maplibregl-ctrl-attrib-inner\",this._container),this._updateAttributions(),this._updateCompact(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"terrain\",this._updateData),this._map.on(\"resize\",this._updateCompact),this._map.on(\"drag\",this._updateCompactMinimize),this._container}onRemove(){o.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"terrain\",this._updateData),this._map.off(\"resize\",this._updateCompact),this._map.off(\"drag\",this._updateCompactMinimize),this._map=void 0,this._compact=void 0,this._attribHTML=void 0;}_setElementTitle(t,e){const r=this._map._getUIString(`AttributionControl.${e}`);t.title=r,t.setAttribute(\"aria-label\",r);}_updateAttributions(){if(!this._map.style)return;let t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((t=>\"string\"!=typeof t?\"\":t))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){const t=this._map.style.stylesheet;this.styleOwner=t.owner,this.styleId=t.id;}const e=this._map.style.sourceCaches;for(const r in e){const n=e[r];if(n.used||n.usedForTerrain){const e=n.getSource();e.attribution&&t.indexOf(e.attribution)<0&&t.push(e.attribution);}}t=t.filter((t=>String(t).trim())),t.sort(((t,e)=>t.length-e.length)),t=t.filter(((e,r)=>{for(let n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return  false;return  true}));const r=t.join(\" | \");r!==this._attribHTML&&(this._attribHTML=r,t.length?(this._innerContainer.innerHTML=r,this._container.classList.remove(\"maplibregl-attrib-empty\")):this._container.classList.add(\"maplibregl-attrib-empty\"),this._updateCompact(),this._editLink=null);}}class Ii{constructor(t={}){this._updateCompact=()=>{const t=this._container.children;if(t.length){const e=t[0];this._map.getCanvasContainer().offsetWidth<=640||this._compact?false!==this._compact&&e.classList.add(\"maplibregl-compact\"):e.classList.remove(\"maplibregl-compact\");}},this.options=t;}getDefaultPosition(){return \"bottom-left\"}onAdd(t){this._map=t,this._compact=this.options&&this.options.compact,this._container=o.create(\"div\",\"maplibregl-ctrl\");const e=o.create(\"a\",\"maplibregl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://maplibre.org/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"block\",this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container}onRemove(){o.remove(this._container),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._compact=void 0;}}class Pi{constructor(){this._queue=[],this._id=0,this._cleared=false,this._currentlyRunning=false;}add(t){const e=++this._id;return this._queue.push({callback:t,id:e,cancelled:false}),e}remove(t){const e=this._currentlyRunning,r=e?this._queue.concat(e):this._queue;for(const e of r)if(e.id===t)return void(e.cancelled=true)}run(t=0){if(this._currentlyRunning)throw new Error(\"Attempting to run(), but is already running.\");const e=this._currentlyRunning=this._queue;this._queue=[];for(const r of e)if(!r.cancelled&&(r.callback(t),this._cleared))break;this._cleared=false,this._currentlyRunning=false;}clear(){this._currentlyRunning&&(this._cleared=true),this._queue=[];}}var zi=e.Y([{name:\"a_pos3d\",type:\"Int16\",components:3}]);class Oi extends e.E{constructor(t){super(),this.sourceCache=t,this._tiles={},this._renderableTilesKeys=[],this._sourceTileCache={},this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.deltaZoom=1,t.usedForTerrain=true,t.tileSize=this.tileSize*2**this.deltaZoom;}destruct(){this.sourceCache.usedForTerrain=false,this.sourceCache.tileSize=null;}update(t,r){this.sourceCache.update(t,r),this._renderableTilesKeys=[];const n={};for(const i of t.coveringTiles({tileSize:this.tileSize,minzoom:this.minzoom,maxzoom:this.maxzoom,reparseOverscaled:false,terrain:r}))n[i.key]=true,this._renderableTilesKeys.push(i.key),this._tiles[i.key]||(i.posMatrix=new Float64Array(16),e.aQ(i.posMatrix,0,e.X,0,e.X,0,1),this._tiles[i.key]=new ht(i,this.tileSize));for(const t in this._tiles)n[t]||delete this._tiles[t];}freeRtt(t){for(const e in this._tiles){const r=this._tiles[e];(!t||r.tileID.equals(t)||r.tileID.isChildOf(t)||t.isChildOf(r.tileID))&&(r.rtt=[]);}}getRenderableTiles(){return this._renderableTilesKeys.map((t=>this.getTileByID(t)))}getTileByID(t){return this._tiles[t]}getTerrainCoords(t){const r={};for(const n of this._renderableTilesKeys){const i=this._tiles[n].tileID;if(i.canonical.equals(t.canonical)){const i=t.clone();i.posMatrix=new Float64Array(16),e.aQ(i.posMatrix,0,e.X,0,e.X,0,1),r[n]=i;}else if(i.canonical.isChildOf(t.canonical)){const a=t.clone();a.posMatrix=new Float64Array(16);const o=i.canonical.z-t.canonical.z,s=i.canonical.x-(i.canonical.x>>o<<o),l=i.canonical.y-(i.canonical.y>>o<<o),c=e.X>>o;e.aQ(a.posMatrix,0,c,0,c,0,1),e.J(a.posMatrix,a.posMatrix,[-s*c,-l*c,0]),r[n]=a;}else if(t.canonical.isChildOf(i.canonical)){const a=t.clone();a.posMatrix=new Float64Array(16);const o=t.canonical.z-i.canonical.z,s=t.canonical.x-(t.canonical.x>>o<<o),l=t.canonical.y-(t.canonical.y>>o<<o),c=e.X>>o;e.aQ(a.posMatrix,0,e.X,0,e.X,0,1),e.J(a.posMatrix,a.posMatrix,[s*c,l*c,0]),e.K(a.posMatrix,a.posMatrix,[1/2**o,1/2**o,0]),r[n]=a;}}return r}getSourceTile(t,e){const r=this.sourceCache._source;let n=t.overscaledZ-this.deltaZoom;if(n>r.maxzoom&&(n=r.maxzoom),n<r.minzoom)return null;this._sourceTileCache[t.key]||(this._sourceTileCache[t.key]=t.scaledTo(n).key);let i=this.sourceCache.getTileByID(this._sourceTileCache[t.key]);if((!i||!i.dem)&&e)for(;n>=r.minzoom&&(!i||!i.dem);)i=this.sourceCache.getTileByID(t.scaledTo(n--).key);return i}tilesAfterTime(t=Date.now()){return Object.values(this._tiles).filter((e=>e.timeAdded>=t))}}class Di{constructor(t,e,r){this.painter=t,this.sourceCache=new Oi(e),this.options=r,this.exaggeration=\"number\"==typeof r.exaggeration?r.exaggeration:1,this.qualityFactor=2,this.meshSize=128,this._demMatrixCache={},this.coordsIndex=[],this._coordsTextureSize=1024;}getDEMElevation(t,r,n,i=e.X){var a;if(!(r>=0&&r<i&&n>=0&&n<i))return 0;const o=this.getTerrainData(t),s=null===(a=o.tile)||void 0===a?void 0:a.dem;if(!s)return 0;const l=function(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t}([],[r/i*e.X,n/i*e.X],o.u_terrain_matrix),c=[l[0]*s.dim,l[1]*s.dim],u=Math.floor(c[0]),h=Math.floor(c[1]),f=c[0]-u,p=c[1]-h;return s.get(u,h)*(1-f)*(1-p)+s.get(u+1,h)*f*(1-p)+s.get(u,h+1)*(1-f)*p+s.get(u+1,h+1)*f*p}getElevationForLngLatZoom(t,r){const{tileID:n,mercatorX:i,mercatorY:a}=this._getOverscaledTileIDFromLngLatZoom(t,r);return this.getElevation(n,i%e.X,a%e.X,e.X)}getElevation(t,r,n,i=e.X){return this.getDEMElevation(t,r,n,i)*this.exaggeration}getTerrainData(t){if(!this._emptyDemTexture){const t=this.painter.context,r=new e.R({width:1,height:1},new Uint8Array(4));this._emptyDepthTexture=new w(t,r,t.gl.RGBA,{premultiply:false}),this._emptyDemUnpack=[0,0,0,0],this._emptyDemTexture=new w(t,new e.R({width:1,height:1}),t.gl.RGBA,{premultiply:false}),this._emptyDemTexture.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),this._emptyDemMatrix=e.ao([]);}const r=this.sourceCache.getSourceTile(t,true);if(r&&r.dem&&(!r.demTexture||r.needsTerrainPrepare)){const t=this.painter.context;r.demTexture=this.painter.getTileTexture(r.dem.stride),r.demTexture?r.demTexture.update(r.dem.getPixels(),{premultiply:false}):r.demTexture=new w(t,r.dem.getPixels(),t.gl.RGBA,{premultiply:false}),r.demTexture.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),r.needsTerrainPrepare=false;}const n=r&&r+r.tileID.key+t.key;if(n&&!this._demMatrixCache[n]){const n=this.sourceCache.sourceCache._source.maxzoom;let i=t.canonical.z-r.tileID.canonical.z;t.overscaledZ>t.canonical.z&&(t.canonical.z>=n?i=t.canonical.z-n:e.w(\"cannot calculate elevation if elevation maxzoom > source.maxzoom\"));const a=t.canonical.x-(t.canonical.x>>i<<i),o=t.canonical.y-(t.canonical.y>>i<<i),s=e.bb(new Float64Array(16),[1/(e.X<<i),1/(e.X<<i),0]);e.J(s,s,[a*e.X,o*e.X,0]),this._demMatrixCache[t.key]={matrix:s,coord:t};}return {u_depth:2,u_terrain:3,u_terrain_dim:r&&r.dem&&r.dem.dim||1,u_terrain_matrix:n?this._demMatrixCache[t.key].matrix:this._emptyDemMatrix,u_terrain_unpack:r&&r.dem&&r.dem.getUnpackVector()||this._emptyDemUnpack,u_terrain_exaggeration:this.exaggeration,texture:(r&&r.demTexture||this._emptyDemTexture).texture,depthTexture:(this._fboDepthTexture||this._emptyDepthTexture).texture,tile:r}}getFramebuffer(t){const e=this.painter,r=e.width/devicePixelRatio,n=e.height/devicePixelRatio;return !this._fbo||this._fbo.width===r&&this._fbo.height===n||(this._fbo.destroy(),this._fboCoordsTexture.destroy(),this._fboDepthTexture.destroy(),delete this._fbo,delete this._fboDepthTexture,delete this._fboCoordsTexture),this._fboCoordsTexture||(this._fboCoordsTexture=new w(e.context,{width:r,height:n,data:null},e.context.gl.RGBA,{premultiply:false}),this._fboCoordsTexture.bind(e.context.gl.NEAREST,e.context.gl.CLAMP_TO_EDGE)),this._fboDepthTexture||(this._fboDepthTexture=new w(e.context,{width:r,height:n,data:null},e.context.gl.RGBA,{premultiply:false}),this._fboDepthTexture.bind(e.context.gl.NEAREST,e.context.gl.CLAMP_TO_EDGE)),this._fbo||(this._fbo=e.context.createFramebuffer(r,n,true,false),this._fbo.depthAttachment.set(e.context.createRenderbuffer(e.context.gl.DEPTH_COMPONENT16,r,n))),this._fbo.colorAttachment.set(\"coords\"===t?this._fboCoordsTexture.texture:this._fboDepthTexture.texture),this._fbo}getCoordsTexture(){const t=this.painter.context;if(this._coordsTexture)return this._coordsTexture;const r=new Uint8Array(this._coordsTextureSize*this._coordsTextureSize*4);for(let t=0,e=0;t<this._coordsTextureSize;t++)for(let n=0;n<this._coordsTextureSize;n++,e+=4)r[e+0]=255&n,r[e+1]=255&t,r[e+2]=n>>8<<4|t>>8,r[e+3]=0;const n=new e.R({width:this._coordsTextureSize,height:this._coordsTextureSize},new Uint8Array(r.buffer)),i=new w(t,n,t.gl.RGBA,{premultiply:false});return i.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),this._coordsTexture=i,i}pointCoordinate(t){this.painter.maybeDrawDepthAndCoords(true);const r=new Uint8Array(4),n=this.painter.context,i=n.gl,a=Math.round(t.x*this.painter.pixelRatio/devicePixelRatio),o=Math.round(t.y*this.painter.pixelRatio/devicePixelRatio),s=Math.round(this.painter.height/devicePixelRatio);n.bindFramebuffer.set(this.getFramebuffer(\"coords\").framebuffer),i.readPixels(a,s-o-1,1,1,i.RGBA,i.UNSIGNED_BYTE,r),n.bindFramebuffer.set(null);const l=r[0]+(r[2]>>4<<8),c=r[1]+((15&r[2])<<8),u=this.coordsIndex[255-r[3]],h=u&&this.sourceCache.getTileByID(u);if(!h)return null;const f=this._coordsTextureSize,p=(1<<h.tileID.canonical.z)*f;return new e.Z((h.tileID.canonical.x*f+l)/p+h.tileID.wrap,(h.tileID.canonical.y*f+c)/p,this.getElevation(h.tileID,l,c,f))}depthAtPoint(t){const e=new Uint8Array(4),r=this.painter.context,n=r.gl;return r.bindFramebuffer.set(this.getFramebuffer(\"depth\").framebuffer),n.readPixels(t.x,this.painter.height/devicePixelRatio-t.y-1,1,1,n.RGBA,n.UNSIGNED_BYTE,e),r.bindFramebuffer.set(null),(e[0]/16777216+e[1]/65536+e[2]/256+e[3])/256}getTerrainMesh(){if(this._mesh)return this._mesh;const t=this.painter.context,r=new e.bc,n=new e.aY,i=this.meshSize,a=e.X/i,o=i*i;for(let t=0;t<=i;t++)for(let e=0;e<=i;e++)r.emplaceBack(e*a,t*a,0);for(let t=0;t<o;t+=i+1)for(let e=0;e<i;e++)n.emplaceBack(e+t,i+e+t+1,i+e+t+2),n.emplaceBack(e+t,i+e+t+2,e+t+1);const s=r.length,l=s+2*(i+1);for(const t of [0,1])for(let n=0;n<=i;n++)for(const i of [0,1])r.emplaceBack(n*a,t*e.X,i);for(let t=0;t<2*i;t+=2)n.emplaceBack(l+t,l+t+1,l+t+3),n.emplaceBack(l+t,l+t+3,l+t+2),n.emplaceBack(s+t,s+t+3,s+t+1),n.emplaceBack(s+t,s+t+2,s+t+3);const c=r.length,u=c+2*(i+1);for(const t of [0,1])for(let n=0;n<=i;n++)for(const i of [0,1])r.emplaceBack(t*e.X,n*a,i);for(let t=0;t<2*i;t+=2)n.emplaceBack(c+t,c+t+1,c+t+3),n.emplaceBack(c+t,c+t+3,c+t+2),n.emplaceBack(u+t,u+t+3,u+t+1),n.emplaceBack(u+t,u+t+2,u+t+3);return this._mesh=new wn(t.createVertexBuffer(r,zi.members),t.createIndexBuffer(n),e.a0.simpleSegment(0,0,r.length,n.length)),this._mesh}getMeshFrameDelta(t){return 2*Math.PI*e.bd/Math.pow(2,t)/5}getMinTileElevationForLngLatZoom(t,e){var r;const{tileID:n}=this._getOverscaledTileIDFromLngLatZoom(t,e);return null!==(r=this.getMinMaxElevation(n).minElevation)&&void 0!==r?r:0}getMinMaxElevation(t){const e=this.getTerrainData(t).tile,r={minElevation:null,maxElevation:null};return e&&e.dem&&(r.minElevation=e.dem.min*this.exaggeration,r.maxElevation=e.dem.max*this.exaggeration),r}_getOverscaledTileIDFromLngLatZoom(t,r){const n=e.Z.fromLngLat(t.wrap()),i=(1<<r)*e.X,a=n.x*i,o=n.y*i,s=Math.floor(a/e.X),l=Math.floor(o/e.X);return {tileID:new e.S(r,0,r,s,l),mercatorX:a,mercatorY:o}}}class Ri{constructor(t,e,r){this._context=t,this._size=e,this._tileSize=r,this._objects=[],this._recentlyUsed=[],this._stamp=0;}destruct(){for(const t of this._objects)t.texture.destroy(),t.fbo.destroy();}_createObject(t){const e=this._context.createFramebuffer(this._tileSize,this._tileSize,true,true),r=new w(this._context,{width:this._tileSize,height:this._tileSize,data:null},this._context.gl.RGBA);return r.bind(this._context.gl.LINEAR,this._context.gl.CLAMP_TO_EDGE),e.depthAttachment.set(this._context.createRenderbuffer(this._context.gl.DEPTH_STENCIL,this._tileSize,this._tileSize)),e.colorAttachment.set(r.texture),{id:t,fbo:e,texture:r,stamp:-1,inUse:false}}getObjectForId(t){return this._objects[t]}useObject(t){t.inUse=true,this._recentlyUsed=this._recentlyUsed.filter((e=>t.id!==e)),this._recentlyUsed.push(t.id);}stampObject(t){t.stamp=++this._stamp;}getOrCreateFreeObject(){for(const t of this._recentlyUsed)if(!this._objects[t].inUse)return this._objects[t];if(this._objects.length>=this._size)throw new Error(\"No free RenderPool available, call freeAllObjects() required!\");const t=this._createObject(this._objects.length);return this._objects.push(t),t}freeObject(t){t.inUse=false;}freeAllObjects(){for(const t of this._objects)this.freeObject(t);}isFull(){return !(this._objects.length<this._size)&&false===this._objects.some((t=>!t.inUse))}}const Fi={background:true,fill:true,line:true,raster:true,hillshade:true};class Bi{constructor(t,e){this.painter=t,this.terrain=e,this.pool=new Ri(t.context,30,e.sourceCache.tileSize*e.qualityFactor);}destruct(){this.pool.destruct();}getTexture(t){return this.pool.getObjectForId(t.rtt[this._stacks.length-1].id).texture}prepareForRender(t,e){this._stacks=[],this._prevType=null,this._rttTiles=[],this._renderableTiles=this.terrain.sourceCache.getRenderableTiles(),this._renderableLayerIds=t._order.filter((r=>!t._layers[r].isHidden(e))),this._coordsDescendingInv={};for(const e in t.sourceCaches){this._coordsDescendingInv[e]={};const r=t.sourceCaches[e].getVisibleCoordinates();for(const t of r){const r=this.terrain.sourceCache.getTerrainCoords(t);for(const t in r)this._coordsDescendingInv[e][t]||(this._coordsDescendingInv[e][t]=[]),this._coordsDescendingInv[e][t].push(r[t]);}}this._coordsDescendingInvStr={};for(const e of t._order){const r=t._layers[e],n=r.source;if(Fi[r.type]&&!this._coordsDescendingInvStr[n]){this._coordsDescendingInvStr[n]={};for(const t in this._coordsDescendingInv[n])this._coordsDescendingInvStr[n][t]=this._coordsDescendingInv[n][t].map((t=>t.key)).sort().join();}}for(const t of this._renderableTiles)for(const e in this._coordsDescendingInvStr){const r=this._coordsDescendingInvStr[e][t.tileID.key];r&&r!==t.rttCoords[e]&&(t.rtt=[]);}}renderLayer(t){if(t.isHidden(this.painter.transform.zoom))return  false;const r=t.type,n=this.painter,i=this._renderableLayerIds[this._renderableLayerIds.length-1]===t.id;if(Fi[r]&&(this._prevType&&Fi[this._prevType]||this._stacks.push([]),this._prevType=r,this._stacks[this._stacks.length-1].push(t.id),!i))return  true;if(Fi[this._prevType]||Fi[r]&&i){this._prevType=r;const t=this._stacks.length-1,i=this._stacks[t]||[];for(const r of this._renderableTiles){if(this.pool.isFull()&&(bn(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects()),this._rttTiles.push(r),r.rtt[t]){const e=this.pool.getObjectForId(r.rtt[t].id);if(e.stamp===r.rtt[t].stamp){this.pool.useObject(e);continue}}const a=this.pool.getOrCreateFreeObject();this.pool.useObject(a),this.pool.stampObject(a),r.rtt[t]={id:a.id,stamp:a.stamp},n.context.bindFramebuffer.set(a.fbo.framebuffer),n.context.clear({color:e.aN.transparent,stencil:0}),n.currentStencilSource=void 0;for(let t=0;t<i.length;t++){const e=n.style._layers[i[t]],o=e.source?this._coordsDescendingInv[e.source][r.tileID.key]:[r.tileID];n.context.viewport.set([0,0,a.fbo.width,a.fbo.height]),n._renderTileClippingMasks(e,o),n.renderLayer(n,n.style.sourceCaches[e.source],e,o),e.source&&(r.rttCoords[e.source]=this._coordsDescendingInvStr[e.source][r.tileID.key]);}}return bn(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects(),Fi[r]}return  false}}const Ni={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"MapLibre logo\",\"Map.Title\":\"Map\",\"Marker.Title\":\"Map marker\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"Popup.Close\":\"Close popup\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\",\"TerrainControl.Enable\":\"Enable terrain\",\"TerrainControl.Disable\":\"Disable terrain\",\"CooperativeGesturesHandler.WindowsHelpText\":\"Use Ctrl + scroll to zoom the map\",\"CooperativeGesturesHandler.MacHelpText\":\"Use ⌘ + scroll to zoom the map\",\"CooperativeGesturesHandler.MobileHelpText\":\"Use two fingers to move the map\"},ji=r,Ui={hash:false,interactive:true,bearingSnap:7,attributionControl:Ci,maplibreLogo:false,failIfMajorPerformanceCaveat:false,preserveDrawingBuffer:false,refreshExpiredTiles:true,scrollZoom:true,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,boxZoom:true,dragRotate:true,dragPan:true,keyboard:true,doubleClickZoom:true,touchZoomRotate:true,touchPitch:true,cooperativeGestures:false,trackResize:true,center:[0,0],zoom:0,bearing:0,pitch:0,renderWorldCopies:true,maxTileCacheSize:null,maxTileCacheZoomLevels:e.a.MAX_TILE_CACHE_ZOOM_LEVELS,transformRequest:null,transformCameraUpdate:null,fadeDuration:300,crossSourceCollisions:true,clickTolerance:3,localIdeographFontFamily:\"sans-serif\",pitchWithRotate:true,validateStyle:true,maxCanvasSize:[4096,4096],cancelPendingTileRequestsWhileZooming:true};const Vi=t=>{t.touchstart=t.dragStart,t.touchmoveWindow=t.dragMove,t.touchend=t.dragEnd;},qi={showCompass:true,showZoom:true,visualizePitch:false};class Hi{constructor(t,r,n=false){this.mousedown=t=>{this.startMouse(e.e({},t,{ctrlKey:true,preventDefault:()=>t.preventDefault()}),o.mousePos(this.element,t)),o.addEventListener(window,\"mousemove\",this.mousemove),o.addEventListener(window,\"mouseup\",this.mouseup);},this.mousemove=t=>{this.moveMouse(t,o.mousePos(this.element,t));},this.mouseup=t=>{this.mouseRotate.dragEnd(t),this.mousePitch&&this.mousePitch.dragEnd(t),this.offTemp();},this.touchstart=t=>{1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=o.touchPos(this.element,t.targetTouches)[0],this.startTouch(t,this._startPos),o.addEventListener(window,\"touchmove\",this.touchmove,{passive:false}),o.addEventListener(window,\"touchend\",this.touchend));},this.touchmove=t=>{1!==t.targetTouches.length?this.reset():(this._lastPos=o.touchPos(this.element,t.targetTouches)[0],this.moveTouch(t,this._lastPos));},this.touchend=t=>{0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),delete this._startPos,delete this._lastPos,this.offTemp();},this.reset=()=>{this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),this.touchRotate.reset(),this.touchPitch&&this.touchPitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp();},this._clickTolerance=10;const i=t.dragRotate._mouseRotate.getClickTolerance(),a=t.dragRotate._mousePitch.getClickTolerance();this.element=r,this.mouseRotate=ei({clickTolerance:i,enable:true}),this.touchRotate=(({enable:t,clickTolerance:e,bearingDegreesPerPixelMoved:r=.8})=>{const n=new Qn;return new $n({clickTolerance:e,move:(t,e)=>({bearingDelta:(e.x-t.x)*r}),moveStateManager:n,enable:t,assignEvents:Vi})})({clickTolerance:i,enable:true}),this.map=t,n&&(this.mousePitch=ri({clickTolerance:a,enable:true}),this.touchPitch=(({enable:t,clickTolerance:e,pitchDegreesPerPixelMoved:r=-0.5})=>{const n=new Qn;return new $n({clickTolerance:e,move:(t,e)=>({pitchDelta:(e.y-t.y)*r}),moveStateManager:n,enable:t,assignEvents:Vi})})({clickTolerance:a,enable:true})),o.addEventListener(r,\"mousedown\",this.mousedown),o.addEventListener(r,\"touchstart\",this.touchstart,{passive:false}),o.addEventListener(r,\"touchcancel\",this.reset);}startMouse(t,e){this.mouseRotate.dragStart(t,e),this.mousePitch&&this.mousePitch.dragStart(t,e),o.disableDrag();}startTouch(t,e){this.touchRotate.dragStart(t,e),this.touchPitch&&this.touchPitch.dragStart(t,e),o.disableDrag();}moveMouse(t,e){const r=this.map,{bearingDelta:n}=this.mouseRotate.dragMove(t,e)||{};if(n&&r.setBearing(r.getBearing()+n),this.mousePitch){const{pitchDelta:n}=this.mousePitch.dragMove(t,e)||{};n&&r.setPitch(r.getPitch()+n);}}moveTouch(t,e){const r=this.map,{bearingDelta:n}=this.touchRotate.dragMove(t,e)||{};if(n&&r.setBearing(r.getBearing()+n),this.touchPitch){const{pitchDelta:n}=this.touchPitch.dragMove(t,e)||{};n&&r.setPitch(r.getPitch()+n);}}off(){const t=this.element;o.removeEventListener(t,\"mousedown\",this.mousedown),o.removeEventListener(t,\"touchstart\",this.touchstart,{passive:false}),o.removeEventListener(window,\"touchmove\",this.touchmove,{passive:false}),o.removeEventListener(window,\"touchend\",this.touchend),o.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp();}offTemp(){o.enableDrag(),o.removeEventListener(window,\"mousemove\",this.mousemove),o.removeEventListener(window,\"mouseup\",this.mouseup),o.removeEventListener(window,\"touchmove\",this.touchmove,{passive:false}),o.removeEventListener(window,\"touchend\",this.touchend);}}let Gi;function Zi(t,r,n){const i=new e.N(t.lng,t.lat);if(t=new e.N(t.lng,t.lat),r){const i=new e.N(t.lng-360,t.lat),a=new e.N(t.lng+360,t.lat),o=n.locationPoint(t).distSqr(r);n.locationPoint(i).distSqr(r)<o?t=i:n.locationPoint(a).distSqr(r)<o&&(t=a);}for(;Math.abs(t.lng-n.center.lng)>180;){const e=n.locationPoint(t);if(e.x>=0&&e.y>=0&&e.x<=n.width&&e.y<=n.height)break;t.lng>n.center.lng?t.lng-=360:t.lng+=360;}return t.lng!==i.lng&&n.locationPoint(t).y>n.height/2-n.getHorizon()?t:i}const Wi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Yi(t,e,r){const n=t.classList;for(const t in Wi)n.remove(`maplibregl-${r}-anchor-${t}`);n.add(`maplibregl-${r}-anchor-${e}`);}class Xi extends e.E{constructor(t){if(super(),this._onKeyPress=t=>{const e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup();},this._onMapClick=t=>{const e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup();},this._update=t=>{var e;if(!this._map)return;const r=this._map.loaded()&&!this._map.isMoving();(\"terrain\"===(null==t?void 0:t.type)||\"render\"===(null==t?void 0:t.type)&&!r)&&this._map.once(\"render\",this._update),this._map.transform.renderWorldCopies?this._lngLat=Zi(this._lngLat,this._flatPos,this._map.transform):this._lngLat=null===(e=this._lngLat)||void 0===e?void 0:e.wrap(),this._flatPos=this._pos=this._map.project(this._lngLat)._add(this._offset),this._map.terrain&&(this._flatPos=this._map.transform.locationPoint(this._lngLat)._add(this._offset));let n=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?n=`rotateZ(${this._rotation}deg)`:\"map\"===this._rotationAlignment&&(n=`rotateZ(${this._rotation-this._map.getBearing()}deg)`);let i=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?i=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(i=`rotateX(${this._map.getPitch()}deg)`),this._subpixelPositioning||t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),o.setTransform(this._element,`${Wi[this._anchor]} translate(${this._pos.x}px, ${this._pos.y}px) ${i} ${n}`),a.frameAsync(new AbortController).then((()=>{this._updateOpacity(t&&\"moveend\"===t.type);})).catch((()=>{}));},this._onMove=t=>{if(!this._isDragging){const e=this._clickTolerance||this._map._clickTolerance;this._isDragging=t.point.dist(this._pointerdownPos)>=e;}this._isDragging&&(this._pos=t.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new e.k(\"dragstart\"))),this.fire(new e.k(\"drag\")));},this._onUp=()=>{this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=false,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new e.k(\"dragend\")),this._state=\"inactive\";},this._addDragHandler=t=>{this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp));},this._anchor=t&&t.anchor||\"center\",this._color=t&&t.color||\"#3FB1CE\",this._scale=t&&t.scale||1,this._draggable=t&&t.draggable||false,this._clickTolerance=t&&t.clickTolerance||0,this._subpixelPositioning=t&&t.subpixelPositioning||false,this._isDragging=false,this._state=\"inactive\",this._rotation=t&&t.rotation||0,this._rotationAlignment=t&&t.rotationAlignment||\"auto\",this._pitchAlignment=t&&t.pitchAlignment&&\"auto\"!==t.pitchAlignment?t.pitchAlignment:this._rotationAlignment,this.setOpacity(),this.setOpacity(null==t?void 0:t.opacity,null==t?void 0:t.opacityWhenCovered),t&&t.element)this._element=t.element,this._offset=e.P.convert(t&&t.offset||[0,0]);else {this._defaultMarker=true,this._element=o.create(\"div\");const r=o.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),n=41,i=27;r.setAttributeNS(null,\"display\",\"block\"),r.setAttributeNS(null,\"height\",`${n}px`),r.setAttributeNS(null,\"width\",`${i}px`),r.setAttributeNS(null,\"viewBox\",`0 0 ${i} ${n}`);const a=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");a.setAttributeNS(null,\"stroke\",\"none\"),a.setAttributeNS(null,\"stroke-width\",\"1\"),a.setAttributeNS(null,\"fill\",\"none\"),a.setAttributeNS(null,\"fill-rule\",\"evenodd\");const s=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");const l=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");const c=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];for(const t of c){const e=o.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");e.setAttributeNS(null,\"opacity\",\"0.04\"),e.setAttributeNS(null,\"cx\",\"10.5\"),e.setAttributeNS(null,\"cy\",\"5.80029008\"),e.setAttributeNS(null,\"rx\",t.rx),e.setAttributeNS(null,\"ry\",t.ry),l.appendChild(e);}const u=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");u.setAttributeNS(null,\"fill\",this._color);const h=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");h.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),u.appendChild(h);const f=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");f.setAttributeNS(null,\"opacity\",\"0.25\"),f.setAttributeNS(null,\"fill\",\"#000000\");const p=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");p.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),f.appendChild(p);const d=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),d.setAttributeNS(null,\"fill\",\"#FFFFFF\");const m=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");const g=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");g.setAttributeNS(null,\"fill\",\"#000000\"),g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"cx\",\"5.5\"),g.setAttributeNS(null,\"cy\",\"5.5\"),g.setAttributeNS(null,\"r\",\"5.4999962\");const y=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");y.setAttributeNS(null,\"fill\",\"#FFFFFF\"),y.setAttributeNS(null,\"cx\",\"5.5\"),y.setAttributeNS(null,\"cy\",\"5.5\"),y.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(g),m.appendChild(y),s.appendChild(l),s.appendChild(u),s.appendChild(f),s.appendChild(d),s.appendChild(m),r.appendChild(s),r.setAttributeNS(null,\"height\",n*this._scale+\"px\"),r.setAttributeNS(null,\"width\",i*this._scale+\"px\"),this._element.appendChild(r),this._offset=e.P.convert(t&&t.offset||[0,-14]);}if(this._element.classList.add(\"maplibregl-marker\"),this._element.addEventListener(\"dragstart\",(t=>{t.preventDefault();})),this._element.addEventListener(\"mousedown\",(t=>{t.preventDefault();})),Yi(this._element,this._anchor,\"marker\"),t&&t.className)for(const e of t.className.split(\" \"))this._element.classList.add(e);this._popup=null;}addTo(t){return this.remove(),this._map=t,this._element.setAttribute(\"aria-label\",t._getUIString(\"Marker.Title\")),t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),t.on(\"terrain\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this}remove(){return this._opacityTimeout&&(clearTimeout(this._opacityTimeout),delete this._opacityTimeout),this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"terrain\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),o.remove(this._element),this._popup&&this._popup.remove(),this}getLngLat(){return this._lngLat}setLngLat(t){return this._lngLat=e.N.convert(t),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this}getElement(){return this._element}setPopup(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){const e=38.1,r=13.5,n=Math.abs(r)/Math.SQRT2;t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-e],\"bottom-left\":[n,-1*(e-r+n)],\"bottom-right\":[-n,-1*(e-r+n)],left:[r,-1*(e-r)],right:[-r,-1*(e-r)]}:this._offset;}this._popup=t,this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress);}return this}setSubpixelPositioning(t){return this._subpixelPositioning=t,this}getPopup(){return this._popup}togglePopup(){const t=this._popup;return this._element.style.opacity===this._opacityWhenCovered?this:t?(t.isOpen()?t.remove():(t.setLngLat(this._lngLat),t.addTo(this._map)),this):this}_updateOpacity(t=false){var r,n;if(!(null===(r=this._map)||void 0===r?void 0:r.terrain))return void(this._element.style.opacity!==this._opacity&&(this._element.style.opacity=this._opacity));if(t)this._opacityTimeout=null;else {if(this._opacityTimeout)return;this._opacityTimeout=setTimeout((()=>{this._opacityTimeout=null;}),100);}const i=this._map,a=i.terrain.depthAtPoint(this._pos),o=i.terrain.getElevationForLngLatZoom(this._lngLat,i.transform.tileZoom);if(i.transform.lngLatToCameraDepth(this._lngLat,o)-a<.006)return void(this._element.style.opacity=this._opacity);const s=-this._offset.y/i.transform._pixelPerMeter,l=Math.sin(i.getPitch()*Math.PI/180)*s,c=i.terrain.depthAtPoint(new e.P(this._pos.x,this._pos.y-this._offset.y)),u=i.transform.lngLatToCameraDepth(this._lngLat,o+l)-c>.006;(null===(n=this._popup)||void 0===n?void 0:n.isOpen())&&u&&this._popup.remove(),this._element.style.opacity=u?this._opacityWhenCovered:this._opacity;}getOffset(){return this._offset}setOffset(t){return this._offset=e.P.convert(t),this._update(),this}addClassName(t){this._element.classList.add(t);}removeClassName(t){this._element.classList.remove(t);}toggleClassName(t){return this._element.classList.toggle(t)}setDraggable(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this}isDraggable(){return this._draggable}setRotation(t){return this._rotation=t||0,this._update(),this}getRotation(){return this._rotation}setRotationAlignment(t){return this._rotationAlignment=t||\"auto\",this._update(),this}getRotationAlignment(){return this._rotationAlignment}setPitchAlignment(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this}getPitchAlignment(){return this._pitchAlignment}setOpacity(t,e){return void 0===t&&void 0===e&&(this._opacity=\"1\",this._opacityWhenCovered=\"0.2\"),void 0!==t&&(this._opacity=t),void 0!==e&&(this._opacityWhenCovered=e),this._map&&this._updateOpacity(true),this}}const $i={positionOptions:{enableHighAccuracy:false,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:false,showAccuracyCircle:true,showUserLocation:true};let Ji=0,Ki=false;class Qi extends e.E{constructor(t){super(),this._onSuccess=t=>{if(this._map){if(this._isOutOfMapMaxBounds(t))return this._setErrorState(),this.fire(new e.k(\"outofmaxbounds\",t)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=t,this._watchState){case \"WAITING_ACTIVE\":case \"ACTIVE_LOCK\":case \"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case \"BACKGROUND\":case \"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\");break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(t),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(t),this.options.showUserLocation&&this._dotElement.classList.remove(\"maplibregl-user-location-dot-stale\"),this.fire(new e.k(\"geolocate\",t)),this._finish();}},this._updateCamera=t=>{const r=new e.N(t.coords.longitude,t.coords.latitude),n=t.coords.accuracy,i=this._map.getBearing(),a=e.e({bearing:i},this.options.fitBoundsOptions),o=X.fromLngLat(r,n);this._map.fitBounds(o,a,{geolocateSource:true});},this._updateMarker=t=>{if(t){const r=new e.N(t.coords.longitude,t.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=t.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius();}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove();},this._onZoom=()=>{this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius();},this._onError=t=>{if(this._map){if(this.options.trackUserLocation)if(1===t.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=true;const t=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t),void 0!==this._geolocationWatchID&&this._clearWatch();}else {if(3===t.code&&Ki)return;this._setErrorState();}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"maplibregl-user-location-dot-stale\"),this.fire(new e.k(\"error\",t)),this._finish();}},this._finish=()=>{this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0;},this._setupUI=()=>{this._map&&(this._container.addEventListener(\"contextmenu\",(t=>t.preventDefault())),this._geolocateButton=o.create(\"button\",\"maplibregl-ctrl-geolocate\",this._container),o.create(\"span\",\"maplibregl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",\"true\"),this._geolocateButton.type=\"button\",this._geolocateButton.disabled=true);},this._finishSetupUI=t=>{if(this._map){if(false===t){e.w(\"Geolocation support is not available so the GeolocateControl will be disabled.\");const t=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=true,this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t);}else {const t=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.disabled=false,this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t);}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=o.create(\"div\",\"maplibregl-user-location-dot\"),this._userLocationDotMarker=new Xi({element:this._dotElement}),this._circleElement=o.create(\"div\",\"maplibregl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Xi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",(()=>this.trigger())),this._setup=true,this.options.trackUserLocation&&this._map.on(\"movestart\",(t=>{const r=t.originalEvent&&\"resize\"===t.originalEvent.type;t.geolocateSource||\"ACTIVE_LOCK\"!==this._watchState||r||(this._watchState=\"BACKGROUND\",this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this.fire(new e.k(\"trackuserlocationend\")),this.fire(new e.k(\"userlocationlostfocus\")));}));}},this.options=e.e({},$i,t);}onAdd(t){return this._map=t,this._container=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),function(){return e._(this,arguments,void 0,(function*(t=false){if(void 0!==Gi&&!t)return Gi;if(void 0===window.navigator.permissions)return Gi=!!window.navigator.geolocation,Gi;try{const t=yield window.navigator.permissions.query({name:\"geolocation\"});Gi=\"denied\"!==t.state;}catch(t){Gi=!!window.navigator.geolocation;}return Gi}))}().then((t=>this._finishSetupUI(t))),this._container}onRemove(){ void 0!==this._geolocationWatchID&&(window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),o.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ji=0,Ki=false;}_isOutOfMapMaxBounds(t){const e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())}_setErrorState(){switch(this._watchState){case \"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\");break;case \"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case \"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case \"ACTIVE_ERROR\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}}_updateCircleRadius(){const t=this._map.getBounds(),e=t.getSouthEast(),r=t.getNorthEast(),n=e.distanceTo(r),i=this._map._container.clientHeight,a=Math.ceil(this._accuracy/(n/i)*2);this._circleElement.style.width=`${a}px`,this._circleElement.style.height=`${a}px`;}trigger(){if(!this._setup)return e.w(\"Geolocate control triggered before added to a map\"),false;if(this.options.trackUserLocation){switch(this._watchState){case \"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new e.k(\"trackuserlocationstart\"));break;case \"WAITING_ACTIVE\":case \"ACTIVE_LOCK\":case \"ACTIVE_ERROR\":case \"BACKGROUND_ERROR\":Ji--,Ki=false,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this.fire(new e.k(\"trackuserlocationend\"));break;case \"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new e.k(\"trackuserlocationstart\")),this.fire(new e.k(\"userlocationfocus\"));break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}switch(this._watchState){case \"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case \"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case \"OFF\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){let t;this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),Ji++,Ji>1?(t={maximumAge:6e5,timeout:0},Ki=true):(t=this.options.positionOptions,Ki=false),this._geolocationWatchID=window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,t);}}else window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return  true}_clearWatch(){window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null);}}const ta={maxWidth:100,unit:\"metric\"};function ea(t,e,r){const n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){const r=3.2808*s;r>5280?ra(e,n,r/5280,t._getUIString(\"ScaleControl.Miles\")):ra(e,n,r,t._getUIString(\"ScaleControl.Feet\"));}else r&&\"nautical\"===r.unit?ra(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ra(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ra(e,n,s,t._getUIString(\"ScaleControl.Meters\"));}function ra(t,e,r,n){const i=function(t){const e=Math.pow(10,`${Math.floor(t)}`.length-1);let r=t/e;return r=r>=10?10:r>=5?5:r>=3?3:r>=2?2:r>=1?1:function(t){const e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(r),e*r}(r),a=i/r;t.style.width=e*a+\"px\",t.innerHTML=`${i}&nbsp;${n}`;}class na extends e.E{constructor(t={}){super(),this._onFullscreenChange=()=>{var t;let e=window.document.fullscreenElement||window.document.mozFullScreenElement||window.document.webkitFullscreenElement||window.document.msFullscreenElement;for(;null===(t=null==e?void 0:e.shadowRoot)||void 0===t?void 0:t.fullscreenElement;)e=e.shadowRoot.fullscreenElement;e===this._container!==this._fullscreen&&this._handleFullscreenChange();},this._onClickFullscreen=()=>{this._isFullscreen()?this._exitFullscreen():this._requestFullscreen();},this._fullscreen=false,t&&t.container&&(t.container instanceof HTMLElement?this._container=t.container:e.w(\"Full screen control 'container' must be a DOM element.\")),\"onfullscreenchange\"in document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in document&&(this._fullscreenchange=\"MSFullscreenChange\");}onAdd(t){return this._map=t,this._container||(this._container=this._map.getContainer()),this._controlContainer=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),this._controlContainer}onRemove(){o.remove(this._controlContainer),this._map=null,window.document.removeEventListener(this._fullscreenchange,this._onFullscreenChange);}_setupUI(){const t=this._fullscreenButton=o.create(\"button\",\"maplibregl-ctrl-fullscreen\",this._controlContainer);o.create(\"span\",\"maplibregl-ctrl-icon\",t).setAttribute(\"aria-hidden\",\"true\"),t.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),window.document.addEventListener(this._fullscreenchange,this._onFullscreenChange);}_updateTitle(){const t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t;}_getTitle(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")}_isFullscreen(){return this._fullscreen}_handleFullscreenChange(){this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-fullscreen\"),this._updateTitle(),this._fullscreen?(this.fire(new e.k(\"fullscreenstart\")),this._prevCooperativeGesturesEnabled=this._map.cooperativeGestures.isEnabled(),this._map.cooperativeGestures.disable()):(this.fire(new e.k(\"fullscreenend\")),this._prevCooperativeGesturesEnabled&&this._map.cooperativeGestures.enable());}_exitFullscreen(){window.document.exitFullscreen?window.document.exitFullscreen():window.document.mozCancelFullScreen?window.document.mozCancelFullScreen():window.document.msExitFullscreen?window.document.msExitFullscreen():window.document.webkitCancelFullScreen?window.document.webkitCancelFullScreen():this._togglePseudoFullScreen();}_requestFullscreen(){this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen?this._container.webkitRequestFullscreen():this._togglePseudoFullScreen();}_togglePseudoFullScreen(){this._container.classList.toggle(\"maplibregl-pseudo-fullscreen\"),this._handleFullscreenChange(),this._map.resize();}}const ia={closeButton:true,closeOnClick:true,focusAfterOpen:true,className:\"\",maxWidth:\"240px\",subpixelPositioning:false},aa=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \");class oa extends e.E{constructor(t){super(),this.remove=()=>(this._content&&o.remove(this._content),this._container&&(o.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\"),delete this._map,this.fire(new e.k(\"close\"))),this),this._onMouseUp=t=>{this._update(t.point);},this._onMouseMove=t=>{this._update(t.point);},this._onDrag=t=>{this._update(t.point);},this._update=t=>{var e;const r=this._lngLat||this._trackPointer;if(!this._map||!r||!this._content)return;if(!this._container){if(this._container=o.create(\"div\",\"maplibregl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"maplibregl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className)for(const t of this.options.className.split(\" \"))this._container.classList.add(t);this._closeButton&&this._closeButton.setAttribute(\"aria-label\",this._map._getUIString(\"Popup.Close\")),this._trackPointer&&this._container.classList.add(\"maplibregl-popup-track-pointer\");}if(this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer?this._lngLat=Zi(this._lngLat,this._flatPos,this._map.transform):this._lngLat=null===(e=this._lngLat)||void 0===e?void 0:e.wrap(),this._trackPointer&&!t)return;const n=this._flatPos=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat);this._map.terrain&&(this._flatPos=this._trackPointer&&t?t:this._map.transform.locationPoint(this._lngLat));let i=this.options.anchor;const a=sa(this.options.offset);if(!i){const t=this._container.offsetWidth,e=this._container.offsetHeight;let r;r=n.y+a.bottom.y<e?[\"top\"]:n.y>this._map.transform.height-e?[\"bottom\"]:[],n.x<t/2?r.push(\"left\"):n.x>this._map.transform.width-t/2&&r.push(\"right\"),i=0===r.length?\"bottom\":r.join(\"-\");}let s=n.add(a[i]);this.options.subpixelPositioning||(s=s.round()),o.setTransform(this._container,`${Wi[i]} translate(${s.x}px,${s.y}px)`),Yi(this._container,i,\"popup\");},this._onClose=()=>{this.remove();},this.options=e.e(Object.create(ia),t);}addTo(t){return this._map&&this.remove(),this._map=t,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new e.k(\"open\")),this}isOpen(){return !!this._map}getLngLat(){return this._lngLat}setLngLat(t){return this._lngLat=e.N.convert(t),this._pos=null,this._flatPos=null,this._trackPointer=false,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\")),this}trackPointer(){return this._trackPointer=true,this._pos=null,this._flatPos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")),this}getElement(){return this._container}setText(t){return this.setDOMContent(document.createTextNode(t))}setHTML(t){const e=document.createDocumentFragment(),r=document.createElement(\"body\");let n;for(r.innerHTML=t;n=r.firstChild,n;)e.appendChild(n);return this.setDOMContent(e)}getMaxWidth(){var t;return null===(t=this._container)||void 0===t?void 0:t.style.maxWidth}setMaxWidth(t){return this.options.maxWidth=t,this._update(),this}setDOMContent(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=o.create(\"div\",\"maplibregl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this}addClassName(t){return this._container&&this._container.classList.add(t),this}removeClassName(t){return this._container&&this._container.classList.remove(t),this}setOffset(t){return this.options.offset=t,this._update(),this}toggleClassName(t){if(this._container)return this._container.classList.toggle(t)}setSubpixelPositioning(t){this.options.subpixelPositioning=t;}_createCloseButton(){this.options.closeButton&&(this._closeButton=o.create(\"button\",\"maplibregl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose));}_focusFirstElement(){if(!this.options.focusAfterOpen||!this._container)return;const t=this._container.querySelector(aa);t&&t.focus();}}function sa(t){if(t){if(\"number\"==typeof t){const r=Math.round(Math.abs(t)/Math.SQRT2);return {center:new e.P(0,0),top:new e.P(0,t),\"top-left\":new e.P(r,r),\"top-right\":new e.P(-r,r),bottom:new e.P(0,-t),\"bottom-left\":new e.P(r,-r),\"bottom-right\":new e.P(-r,-r),left:new e.P(t,0),right:new e.P(-t,0)}}if(t instanceof e.P||Array.isArray(t)){const r=e.P.convert(t);return {center:r,top:r,\"top-left\":r,\"top-right\":r,bottom:r,\"bottom-left\":r,\"bottom-right\":r,left:r,right:r}}return {center:e.P.convert(t.center||[0,0]),top:e.P.convert(t.top||[0,0]),\"top-left\":e.P.convert(t[\"top-left\"]||[0,0]),\"top-right\":e.P.convert(t[\"top-right\"]||[0,0]),bottom:e.P.convert(t.bottom||[0,0]),\"bottom-left\":e.P.convert(t[\"bottom-left\"]||[0,0]),\"bottom-right\":e.P.convert(t[\"bottom-right\"]||[0,0]),left:e.P.convert(t.left||[0,0]),right:e.P.convert(t.right||[0,0])}}return sa(new e.P(0,0))}const la=r;t.AJAXError=e.bg,t.Evented=e.E,t.LngLat=e.N,t.MercatorCoordinate=e.Z,t.Point=e.P,t.addProtocol=e.bh,t.config=e.a,t.removeProtocol=e.bi,t.AttributionControl=Li,t.BoxZoomHandler=Gn,t.CanvasSource=it,t.CooperativeGesturesHandler=Ti,t.DoubleClickZoomHandler=yi,t.DragPanHandler=_i,t.DragRotateHandler=bi,t.EdgeInsets=Mn,t.FullscreenControl=na,t.GeoJSONSource=tt,t.GeolocateControl=Qi,t.Hash=Ln,t.ImageSource=rt,t.KeyboardHandler=pi,t.LngLatBounds=X,t.LogoControl=Ii,t.Map=class extends Ei{constructor(t){e.be.mark(e.bf.create);const r=Object.assign(Object.assign({},Ui),t);if(null!=r.minZoom&&null!=r.maxZoom&&r.minZoom>r.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=r.minPitch&&null!=r.maxPitch&&r.minPitch>r.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=r.minPitch&&r.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=r.maxPitch&&r.maxPitch>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(super(new En(r.minZoom,r.maxZoom,r.minPitch,r.maxPitch,r.renderWorldCopies),{bearingSnap:r.bearingSnap}),this._idleTriggered=false,this._crossFadingFactor=1,this._renderTaskQueue=new Pi,this._controls=[],this._mapId=e.a4(),this._contextLost=t=>{t.preventDefault(),this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this.fire(new e.k(\"webglcontextlost\",{originalEvent:t}));},this._contextRestored=t=>{this._setupPainter(),this.resize(),this._update(),this.fire(new e.k(\"webglcontextrestored\",{originalEvent:t}));},this._onMapScroll=t=>{if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,false},this._onWindowOnline=()=>{this._update();},this._interactive=r.interactive,this._maxTileCacheSize=r.maxTileCacheSize,this._maxTileCacheZoomLevels=r.maxTileCacheZoomLevels,this._failIfMajorPerformanceCaveat=true===r.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=true===r.preserveDrawingBuffer,this._antialias=true===r.antialias,this._trackResize=true===r.trackResize,this._bearingSnap=r.bearingSnap,this._refreshExpiredTiles=true===r.refreshExpiredTiles,this._fadeDuration=r.fadeDuration,this._crossSourceCollisions=true===r.crossSourceCollisions,this._collectResourceTiming=true===r.collectResourceTiming,this._locale=Object.assign(Object.assign({},Ni),r.locale),this._clickTolerance=r.clickTolerance,this._overridePixelRatio=r.pixelRatio,this._maxCanvasSize=r.maxCanvasSize,this.transformCameraUpdate=r.transformCameraUpdate,this.cancelPendingTileRequestsWhileZooming=true===r.cancelPendingTileRequestsWhileZooming,this._imageQueueHandle=p.addThrottleControl((()=>this.isMoving())),this._requestManager=new d(r.transformRequest),\"string\"==typeof r.container){if(this._container=document.getElementById(r.container),!this._container)throw new Error(`Container '${r.container}' not found.`)}else {if(!(r.container instanceof HTMLElement))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=r.container;}if(r.maxBounds&&this.setMaxBounds(r.maxBounds),this._setupContainer(),this._setupPainter(),this.on(\"move\",(()=>this._update(false))).on(\"moveend\",(()=>this._update(false))).on(\"zoom\",(()=>this._update(true))).on(\"terrain\",(()=>{this.painter.terrainFacilitator.dirty=true,this._update(true);})).once(\"idle\",(()=>{this._idleTriggered=true;})),\"undefined\"!=typeof window){addEventListener(\"online\",this._onWindowOnline,false);let t=false;const e=Cn((t=>{this._trackResize&&!this._removed&&this.resize(t)._update();}),50);this._resizeObserver=new ResizeObserver((r=>{t?e(r):t=true;})),this._resizeObserver.observe(this._container);}this.handlers=new Si(this,r);const n=\"string\"==typeof r.hash&&r.hash||void 0;this._hash=r.hash&&new Ln(n).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:r.center,zoom:r.zoom,bearing:r.bearing,pitch:r.pitch}),r.bounds&&(this.resize(),this.fitBounds(r.bounds,e.e({},r.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=r.localIdeographFontFamily,this._validateStyle=r.validateStyle,r.style&&this.setStyle(r.style,{localIdeographFontFamily:r.localIdeographFontFamily}),r.attributionControl&&this.addControl(new Li(\"boolean\"==typeof r.attributionControl?void 0:r.attributionControl)),r.maplibreLogo&&this.addControl(new Ii,r.logoPosition),this.on(\"style.load\",(()=>{this.transform.unmodified&&this.jumpTo(this.style.stylesheet);})),this.on(\"data\",(t=>{this._update(\"style\"===t.dataType),this.fire(new e.k(`${t.dataType}data`,t));})),this.on(\"dataloading\",(t=>{this.fire(new e.k(`${t.dataType}dataloading`,t));})),this.on(\"dataabort\",(t=>{this.fire(new e.k(\"sourcedataabort\",t));}));}_getMapId(){return this._mapId}addControl(t,r){if(void 0===r&&(r=t.getDefaultPosition?t.getDefaultPosition():\"top-right\"),!t||!t.onAdd)return this.fire(new e.j(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));const n=t.onAdd(this);this._controls.push(t);const i=this._controlPositions[r];return  -1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this}removeControl(t){if(!t||!t.onRemove)return this.fire(new e.j(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));const r=this._controls.indexOf(t);return r>-1&&this._controls.splice(r,1),t.onRemove(this),this}hasControl(t){return this._controls.indexOf(t)>-1}calculateCameraOptionsFromTo(t,e,r,n){return null==n&&this.terrain&&(n=this.terrain.getElevationForLngLatZoom(r,this.transform.tileZoom)),super.calculateCameraOptionsFromTo(t,e,r,n)}resize(t){var r;const n=this._containerDimensions(),i=n[0],a=n[1],o=this._getClampedPixelRatio(i,a);if(this._resizeCanvas(i,a,o),this.painter.resize(i,a,o),this.painter.overLimit()){const t=this.painter.context.gl;this._maxCanvasSize=[t.drawingBufferWidth,t.drawingBufferHeight];const e=this._getClampedPixelRatio(i,a);this._resizeCanvas(i,a,e),this.painter.resize(i,a,e);}this.transform.resize(i,a),null===(r=this._requestedCameraState)||void 0===r||r.resize(i,a);const s=!this._moving;return s&&(this.stop(),this.fire(new e.k(\"movestart\",t)).fire(new e.k(\"move\",t))),this.fire(new e.k(\"resize\",t)),s&&this.fire(new e.k(\"moveend\",t)),this}_getClampedPixelRatio(t,e){const{0:r,1:n}=this._maxCanvasSize,i=this.getPixelRatio(),a=t*i,o=e*i,s=a>r?r/a:1,l=o>n?n/o:1;return Math.min(s,l)*i}getPixelRatio(){var t;return null!==(t=this._overridePixelRatio)&&void 0!==t?t:devicePixelRatio}setPixelRatio(t){this._overridePixelRatio=t,this.resize();}getBounds(){return this.transform.getBounds()}getMaxBounds(){return this.transform.getMaxBounds()}setMaxBounds(t){return this.transform.setMaxBounds(X.convert(t)),this._update()}setMinZoom(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")}getMinZoom(){return this.transform.minZoom}setMaxZoom(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")}getMaxZoom(){return this.transform.maxZoom}setMinPitch(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")}getMinPitch(){return this.transform.minPitch}setMaxPitch(t){if((t=null==t?60:t)>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")}getMaxPitch(){return this.transform.maxPitch}getRenderWorldCopies(){return this.transform.renderWorldCopies}setRenderWorldCopies(t){return this.transform.renderWorldCopies=t,this._update()}project(t){return this.transform.locationPoint(e.N.convert(t),this.style&&this.terrain)}unproject(t){return this.transform.pointLocation(e.P.convert(t),this.terrain)}isMoving(){var t;return this._moving||(null===(t=this.handlers)||void 0===t?void 0:t.isMoving())}isZooming(){var t;return this._zooming||(null===(t=this.handlers)||void 0===t?void 0:t.isZooming())}isRotating(){var t;return this._rotating||(null===(t=this.handlers)||void 0===t?void 0:t.isRotating())}_createDelegatedListener(t,e,r){if(\"mouseenter\"===t||\"mouseover\"===t){let n=false;const i=i=>{const a=this.getLayer(e)?this.queryRenderedFeatures(i.point,{layers:[e]}):[];a.length?n||(n=true,r.call(this,new Nn(t,this,i.originalEvent,{features:a}))):n=false;};return {layer:e,listener:r,delegates:{mousemove:i,mouseout:()=>{n=false;}}}}if(\"mouseleave\"===t||\"mouseout\"===t){let n=false;const i=i=>{(this.getLayer(e)?this.queryRenderedFeatures(i.point,{layers:[e]}):[]).length?n=true:n&&(n=false,r.call(this,new Nn(t,this,i.originalEvent)));},a=e=>{n&&(n=false,r.call(this,new Nn(t,this,e.originalEvent)));};return {layer:e,listener:r,delegates:{mousemove:i,mouseout:a}}}{const n=t=>{const n=this.getLayer(e)?this.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(this,t),delete t.features);};return {layer:e,listener:r,delegates:{[t]:n}}}}on(t,e,r){if(void 0===r)return super.on(t,e);const n=this._createDelegatedListener(t,e,r);this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(n);for(const t in n.delegates)this.on(t,n.delegates[t]);return this}once(t,e,r){if(void 0===r)return super.once(t,e);const n=this._createDelegatedListener(t,e,r);for(const t in n.delegates)this.once(t,n.delegates[t]);return this}off(t,e,r){if(void 0===r)return super.off(t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&(n=>{const i=n[t];for(let t=0;t<i.length;t++){const n=i[t];if(n.layer===e&&n.listener===r){for(const t in n.delegates)this.off(t,n.delegates[t]);return i.splice(t,1),this}}})(this._delegatedListeners),this}queryRenderedFeatures(t,r){if(!this.style)return [];let n;const i=t instanceof e.P||Array.isArray(t),a=i?t:[[0,0],[this.transform.width,this.transform.height]];if(r=r||(i?{}:t)||{},a instanceof e.P||\"number\"==typeof a[0])n=[e.P.convert(a)];else {const t=e.P.convert(a[0]),r=e.P.convert(a[1]);n=[t,new e.P(r.x,t.y),r,new e.P(t.x,r.y),t];}return this.style.queryRenderedFeatures(n,r,this.transform)}querySourceFeatures(t,e){return this.style.querySourceFeatures(t,e)}setStyle(t,r){return  false!==(r=e.e({},{localIdeographFontFamily:this._localIdeographFontFamily,validate:this._validateStyle},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&t?(this._diffStyle(t,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(t,r))}setTransformRequest(t){return this._requestManager.setTransformRequest(t),this}_getUIString(t){const e=this._locale[t];if(null==e)throw new Error(`Missing UI string '${t}'`);return e}_updateStyle(t,e){if(e.transformStyle&&this.style&&!this.style._loaded)return void this.style.once(\"style.load\",(()=>this._updateStyle(t,e)));const r=this.style&&e.transformStyle?this.style.serialize():void 0;return this.style&&(this.style.setEventedParent(null),this.style._remove(!t)),t?(this.style=new de(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t,e,r):this.style.loadJSON(t,e,r),this):(delete this.style,this)}_lazyInitEmptyStyle(){this.style||(this.style=new de(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty());}_diffStyle(t,r){if(\"string\"==typeof t){const n=t,i=this._requestManager.transformRequest(n,\"Style\");e.h(i,new AbortController).then((t=>{this._updateDiff(t.data,r);})).catch((t=>{t&&this.fire(new e.j(t));}));}else \"object\"==typeof t&&this._updateDiff(t,r);}_updateDiff(t,r){try{this.style.setState(t,r)&&this._update(!0);}catch(n){e.w(`Unable to perform style diff: ${n.message||n.error||n}.  Rebuilding the style from scratch.`),this._updateStyle(t,r);}}getStyle(){if(this.style)return this.style.serialize()}isStyleLoaded(){return this.style?this.style.loaded():e.w(\"There is no style added to the map.\")}addSource(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(true)}isSourceLoaded(t){const r=this.style&&this.style.sourceCaches[t];if(void 0!==r)return r.loaded();this.fire(new e.j(new Error(`There is no source with ID '${t}'`)));}setTerrain(t){if(this.style._checkLoaded(),this._terrainDataCallback&&this.style.off(\"data\",this._terrainDataCallback),t){const r=this.style.sourceCaches[t.source];if(!r)throw new Error(`cannot load terrain, because there exists no source with ID: ${t.source}`);null===this.terrain&&r.reload();for(const r in this.style._layers){const n=this.style._layers[r];\"hillshade\"===n.type&&n.source===t.source&&e.w(\"You are using the same source for a hillshade layer and for 3D terrain. Please consider using two separate sources to improve rendering quality.\");}this.terrain=new Di(this.painter,r,t),this.painter.renderToTexture=new Bi(this.painter,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._terrainDataCallback=e=>{\"style\"===e.dataType?this.terrain.sourceCache.freeRtt():\"source\"===e.dataType&&e.tile&&(e.sourceId!==t.source||this._elevationFreeze||(this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom)),this.terrain.sourceCache.freeRtt(e.tile.tileID));},this.style.on(\"data\",this._terrainDataCallback);}else this.terrain&&this.terrain.sourceCache.destruct(),this.terrain=null,this.painter.renderToTexture&&this.painter.renderToTexture.destruct(),this.painter.renderToTexture=null,this.transform.minElevationForCurrentTile=0,this.transform.elevation=0;return this.fire(new e.k(\"terrain\",{terrain:t})),this}getTerrain(){var t,e;return null!==(e=null===(t=this.terrain)||void 0===t?void 0:t.options)&&void 0!==e?e:null}areTilesLoaded(){const t=this.style&&this.style.sourceCaches;for(const e in t){const r=t[e]._tiles;for(const t in r){const e=r[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return  false}}return  true}removeSource(t){return this.style.removeSource(t),this._update(true)}getSource(t){return this.style.getSource(t)}addImage(t,r,n={}){const{pixelRatio:i=1,sdf:o=false,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h}=n;this._lazyInitEmptyStyle();if(!(r instanceof HTMLImageElement||e.b(r))){if(void 0===r.width||void 0===r.height)return this.fire(new e.j(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));{const{width:n,height:a,data:f}=r,p=r;return this.style.addImage(t,{data:new e.R({width:n,height:a},new Uint8Array(f)),pixelRatio:i,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h,sdf:o,version:0,userImage:p}),p.onAdd&&p.onAdd(this,t),this}}{const{width:n,height:f,data:p}=a.getImageData(r);this.style.addImage(t,{data:new e.R({width:n,height:f},p),pixelRatio:i,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h,sdf:o,version:0});}}updateImage(t,r){const n=this.style.getImage(t);if(!n)return this.fire(new e.j(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));const i=r instanceof HTMLImageElement||e.b(r)?a.getImageData(r):r,{width:o,height:s,data:l}=i;if(void 0===o||void 0===s)return this.fire(new e.j(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(o!==n.data.width||s!==n.data.height)return this.fire(new e.j(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));const c=!(r instanceof HTMLImageElement||e.b(r));return n.data.replace(l,c),this.style.updateImage(t,n),this}getImage(t){return this.style.getImage(t)}hasImage(t){return t?!!this.style.getImage(t):(this.fire(new e.j(new Error(\"Missing required image id\"))),false)}removeImage(t){this.style.removeImage(t);}loadImage(t){return p.getImage(this._requestManager.transformRequest(t,\"Image\"),new AbortController)}listImages(){return this.style.listImages()}addLayer(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(true)}moveLayer(t,e){return this.style.moveLayer(t,e),this._update(true)}removeLayer(t){return this.style.removeLayer(t),this._update(true)}getLayer(t){return this.style.getLayer(t)}getLayersOrder(){return this.style.getLayersOrder()}setLayerZoomRange(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(true)}setFilter(t,e,r={}){return this.style.setFilter(t,e,r),this._update(true)}getFilter(t){return this.style.getFilter(t)}setPaintProperty(t,e,r,n={}){return this.style.setPaintProperty(t,e,r,n),this._update(true)}getPaintProperty(t,e){return this.style.getPaintProperty(t,e)}setLayoutProperty(t,e,r,n={}){return this.style.setLayoutProperty(t,e,r,n),this._update(true)}getLayoutProperty(t,e){return this.style.getLayoutProperty(t,e)}setGlyphs(t,e={}){return this._lazyInitEmptyStyle(),this.style.setGlyphs(t,e),this._update(true)}getGlyphs(){return this.style.getGlyphsUrl()}addSprite(t,e,r={}){return this._lazyInitEmptyStyle(),this.style.addSprite(t,e,r,(t=>{t||this._update(true);})),this}removeSprite(t){return this._lazyInitEmptyStyle(),this.style.removeSprite(t),this._update(true)}getSprite(){return this.style.getSprite()}setSprite(t,e={}){return this._lazyInitEmptyStyle(),this.style.setSprite(t,e,(t=>{t||this._update(true);})),this}setLight(t,e={}){return this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(true)}getLight(){return this.style.getLight()}setSky(t){return this._lazyInitEmptyStyle(),this.style.setSky(t),this._update(true)}getSky(){return this.style.getSky()}setFeatureState(t,e){return this.style.setFeatureState(t,e),this._update()}removeFeatureState(t,e){return this.style.removeFeatureState(t,e),this._update()}getFeatureState(t){return this.style.getFeatureState(t)}getContainer(){return this._container}getCanvasContainer(){return this._canvasContainer}getCanvas(){return this._canvas}_containerDimensions(){let t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]}_setupContainer(){const t=this._container;t.classList.add(\"maplibregl-map\");const e=this._canvasContainer=o.create(\"div\",\"maplibregl-canvas-container\",t);this._interactive&&e.classList.add(\"maplibregl-interactive\"),this._canvas=o.create(\"canvas\",\"maplibregl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,false),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,false),this._canvas.setAttribute(\"tabindex\",this._interactive?\"0\":\"-1\"),this._canvas.setAttribute(\"aria-label\",this._getUIString(\"Map.Title\")),this._canvas.setAttribute(\"role\",\"region\");const r=this._containerDimensions(),n=this._getClampedPixelRatio(r[0],r[1]);this._resizeCanvas(r[0],r[1],n);const i=this._controlContainer=o.create(\"div\",\"maplibregl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((t=>{a[t]=o.create(\"div\",`maplibregl-ctrl-${t} `,i);})),this._container.addEventListener(\"scroll\",this._onMapScroll,false);}_resizeCanvas(t,e,r){this._canvas.width=Math.floor(r*t),this._canvas.height=Math.floor(r*e),this._canvas.style.width=`${t}px`,this._canvas.style.height=`${e}px`;}_setupPainter(){const t={alpha:true,stencil:true,depth:true,failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||false};let e=null;this._canvas.addEventListener(\"webglcontextcreationerror\",(r=>{e={requestedAttributes:t},r&&(e.statusMessage=r.statusMessage,e.type=r.type);}),{once:true});const r=this._canvas.getContext(\"webgl2\",t)||this._canvas.getContext(\"webgl\",t);if(!r){const t=\"Failed to initialize WebGL\";throw e?(e.message=t,new Error(JSON.stringify(e))):new Error(t)}this.painter=new Tn(r,this.transform),s.testSupport(r);}loaded(){return !this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()}_update(t){return this.style&&this.style._loaded?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=true,this.triggerRepaint(),this):this}_requestRenderFrame(t){return this._update(),this._renderTaskQueue.add(t)}_cancelRenderFrame(t){this._renderTaskQueue.remove(t);}_render(t){const r=this._idleTriggered?this._fadeDuration:0;if(this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(t),this._removed)return;let n=false;if(this.style&&this._styleDirty){this._styleDirty=false;const t=this.transform.zoom,i=a.now();this.style.zoomHistory.update(t,i);const o=new e.a9(t,{now:i,fadeDuration:r,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),s=o.crossFadingFactor();1===s&&s===this._crossFadingFactor||(n=true,this._crossFadingFactor=s),this.style.update(o);}this.style&&this._sourcesDirty&&(this._sourcesDirty=false,this.style._updateSources(this.transform)),this.terrain?(this.terrain.sourceCache.update(this.transform,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._elevationFreeze||(this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom))):(this.transform.minElevationForCurrentTile=0,this.transform.elevation=0),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,r,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:r,showPadding:this.showPadding}),this.fire(new e.k(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=true,e.be.mark(e.bf.load),this.fire(new e.k(\"load\"))),this.style&&(this.style.hasTransitions()||n)&&(this._styleDirty=true),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles();const i=this._sourcesDirty||this._styleDirty||this._placementDirty;return i||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new e.k(\"idle\")),!this._loaded||this._fullyLoaded||i||(this._fullyLoaded=true,e.be.mark(e.bf.fullLoad)),this}redraw(){return this.style&&(this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._render(0)),this}remove(){var t;this._hash&&this._hash.remove();for(const t of this._controls)t.onRemove(this);this._controls=[],this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),\"undefined\"!=typeof window&&removeEventListener(\"online\",this._onWindowOnline,false),p.removeThrottleControl(this._imageQueueHandle),null===(t=this._resizeObserver)||void 0===t||t.disconnect();const r=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");(null==r?void 0:r.loseContext)&&r.loseContext(),this._canvas.removeEventListener(\"webglcontextrestored\",this._contextRestored,false),this._canvas.removeEventListener(\"webglcontextlost\",this._contextLost,false),o.remove(this._canvasContainer),o.remove(this._controlContainer),this._container.classList.remove(\"maplibregl-map\"),e.be.clearMetrics(),this._removed=true,this.fire(new e.k(\"remove\"));}triggerRepaint(){this.style&&!this._frameRequest&&(this._frameRequest=new AbortController,a.frameAsync(this._frameRequest).then((t=>{e.be.frame(t),this._frameRequest=null,this._render(t);})).catch((()=>{})));}get showTileBoundaries(){return !!this._showTileBoundaries}set showTileBoundaries(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update());}get showPadding(){return !!this._showPadding}set showPadding(t){this._showPadding!==t&&(this._showPadding=t,this._update());}get showCollisionBoxes(){return !!this._showCollisionBoxes}set showCollisionBoxes(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update());}get showOverdrawInspector(){return !!this._showOverdrawInspector}set showOverdrawInspector(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update());}get repaint(){return !!this._repaint}set repaint(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint());}get vertices(){return !!this._vertices}set vertices(t){this._vertices=t,this._update();}get version(){return ji}getCameraTargetElevation(){return this.transform.elevation}},t.MapMouseEvent=Nn,t.MapTouchEvent=jn,t.MapWheelEvent=Un,t.Marker=Xi,t.NavigationControl=class{constructor(t){this._updateZoomButtons=()=>{const t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString());},this._rotateCompassArrow=()=>{const t=this.options.visualizePitch?`scale(${1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)}) rotateX(${this._map.transform.pitch}deg) rotateZ(${this._map.transform.angle*(180/Math.PI)}deg)`:`rotate(${this._map.transform.angle*(180/Math.PI)}deg)`;this._compassIcon.style.transform=t;},this._setButtonTitle=(t,e)=>{const r=this._map._getUIString(`NavigationControl.${e}`);t.title=r,t.setAttribute(\"aria-label\",r);},this.options=e.e({},qi,t),this._container=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(t=>t.preventDefault())),this.options.showZoom&&(this._zoomInButton=this._createButton(\"maplibregl-ctrl-zoom-in\",(t=>this._map.zoomIn({},{originalEvent:t}))),o.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",\"true\"),this._zoomOutButton=this._createButton(\"maplibregl-ctrl-zoom-out\",(t=>this._map.zoomOut({},{originalEvent:t}))),o.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",\"true\")),this.options.showCompass&&(this._compass=this._createButton(\"maplibregl-ctrl-compass\",(t=>{this.options.visualizePitch?this._map.resetNorthPitch({},{originalEvent:t}):this._map.resetNorth({},{originalEvent:t});})),this._compassIcon=o.create(\"span\",\"maplibregl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",\"true\"));}onAdd(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Hi(this._map,this._compass,this.options.visualizePitch)),this._container}onRemove(){o.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map;}_createButton(t,e){const r=o.create(\"button\",t,this._container);return r.type=\"button\",r.addEventListener(\"click\",e),r}},t.Popup=oa,t.RasterDEMTileSource=Q,t.RasterTileSource=K,t.ScaleControl=class{constructor(t){this._onMove=()=>{ea(this._map,this._container,this.options);},this.setUnit=t=>{this.options.unit=t,ea(this._map,this._container,this.options);},this.options=Object.assign(Object.assign({},ta),t);}getDefaultPosition(){return \"bottom-left\"}onAdd(t){return this._map=t,this._container=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container}onRemove(){o.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 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its header label instead of a hard-coded index.\n */\nfunction parseStatsFromDocument(doc) {\n    for (const table of doc.querySelectorAll(\"table\")) {\n        const headers = [...table.querySelectorAll(\"thead th, thead td\")].map(h => cellText(h).toLowerCase());\n\n        const findIndex = (...keywords) =>\n            headers.findIndex(h => keywords.some(k => h.includes(k)));\n\n        const datasetIdx = findIndex(\"dataset\");\n        const participantIdx = findIndex(\"participant\");\n        const positionIdx = findIndex(\"position\");\n\n        for (const row of table.querySelectorAll(\"tbody tr\")) {\n            const cols = [...row.querySelectorAll(\"td\")];\n            if (cols.length === 0) continue;\n\n            const dataType = cellText(cols[0]);\n            if (!dataType.toLowerCase().includes(\"23and\")) continue;\n\n            // Fall back to positional parsing only if the headers were unusable.\n            const numeric = cols.slice(1).map(c => toNumber(cellText(c)));\n\n            return {\n                dataType,\n                datasets: datasetIdx > 0 ? toNumber(cellText(cols[datasetIdx])) : numeric[0] ?? null,\n                participants: participantIdx > 0 ? toNumber(cellText(cols[participantIdx])) : numeric[1] ?? null,\n                positions: positionIdx > 0 ? toNumber(cellText(cols[positionIdx])) : numeric[2] ?? null\n            };\n        }\n    }\n\n    return null;\n}\n\nfunction compactNumber(value) {\n    if (!Number.isFinite(value)) return \"n/a\";\n    if (value >= 1e9) return `${(value / 1e9).toFixed(2)}B`;\n    if (value >= 1e6) return `${(value / 1e6).toFixed(1)}M`;\n    if (value >= 1e3) return `${(value / 1e3).toFixed(1)}K`;\n    return String(value);\n}\n\nfunction renderStatsChart(stats) {\n    const chartEl = document.getElementById(\"chart\");\n    if (!chartEl || !stats) return;\n\n    const metrics = [\n        { label: \"Datasets\", value: stats.datasets, color: \"#4dabf7\" },\n        { label: \"Participants\", value: stats.participants, color: \"#38d9a9\" },\n        { label: \"Positions covered\", value: stats.positions, color: \"#ffa94d\" }\n    ].filter(m => Number.isFinite(m.value) && m.value > 0);\n\n    const data = [{\n        x: metrics.map(m => m.label),\n        y: metrics.map(m => m.value),\n        type: \"bar\",\n        marker: { color: metrics.map(m => m.color) },\n        text: metrics.map(m => m.value.toLocaleString()),\n        textposition: \"outside\",\n        textfont: { color: \"#e9ecef\" },\n        cliponaxis: false,\n        hovertemplate: \"%{x}: %{text}<extra></extra>\"\n    }];\n\n    const layout = {\n        margin: { l: 70, r: 20, t: 30, b: 45 },\n        paper_bgcolor: \"rgba(0,0,0,0)\",\n        plot_bgcolor: \"rgba(0,0,0,0)\",\n        font: { color: \"#adb5bd\", size: 12 },\n        yaxis: {\n            title: \"Count (log scale)\",\n            type: \"log\",\n            gridcolor: \"rgba(255,255,255,0.08)\",\n            zerolinecolor: \"rgba(255,255,255,0.15)\"\n        },\n        xaxis: { gridcolor: \"rgba(255,255,255,0.08)\" },\n        showlegend: false\n    };\n\n    Plotly.newPlot(chartEl, data, layout, { responsive: true, displayModeBar: false });\n\n    renderStatsSummary(stats);\n}\n\nfunction renderStatsSummary(stats) {\n    const el = document.getElementById(\"statsSummary\");\n    if (!el || !stats) return;\n\n    const items = [\n        { label: \"Datasets\", value: stats.datasets, hint: \"files published\" },\n        { label: \"Participants\", value: stats.participants, hint: \"people sharing data\" },\n        { label: \"Positions covered\", value: stats.positions, hint: \"genomic positions\" }\n    ];\n\n    el.innerHTML = items.map(item => `\n        <div class=\"col-12 col-sm-4\">\n            <div class=\"summary-card-label\">${item.label}</div>\n            <div class=\"summary-card-value\" title=\"${Number.isFinite(item.value) ? item.value.toLocaleString() : \"\"}\">${compactNumber(item.value)}</div>\n            <div class=\"summary-card-hint\">${item.hint}</div>\n        </div>\n    `).join(\"\");\n}\n\nasync function displayStats(options = {}) {\n    const forceRefresh = options.forceRefresh === true;\n    const sourceStatusEl = document.getElementById(\"sourceStatus\");\n    const forceRefreshBtn = document.getElementById(\"forceRefreshStatsBtn\");\n    const outputEl = document.getElementById(\"output\");\n    if (sourceStatusEl) sourceStatusEl.textContent = \"Source: checking...\";\n    if (forceRefreshBtn) forceRefreshBtn.disabled = true;\n\n    const WORKER_BASE = \"https://lorena-api.lorenasandoval88.workers.dev/?url=\";\n    // If you added a token:\n    // const WORKER_BASE = \"https://YOUR-WORKER.workers.dev/?token=MYSECRET123&url=\";\n\n    try {\n        // Check cache first\n        const cached = forceRefresh ? null : await getCachedStats();\n        if (cached) {\n            //console.log(\"Using cached stats:\", cached);\n            if (sourceStatusEl) sourceStatusEl.textContent = `Source: ${cached.source}`;\n            if (outputEl) {\n                outputEl.textContent = `${JSON.stringify(cached.stats, null, 2)}\\n\\nSource: ${cached.source}`;\n            }\n\n            renderStatsChart(cached.stats);\n            return cached.stats;\n        }\n        if (forceRefresh) {\n            console.log(\"Force refresh requested: bypassing cache\");\n        }\n        // If no valid cache, try fetching from multiple sources with fallbacks\n        const target = \"https://my.pgp-hms.org/public_genetic_data/statistics\";\n        const candidates = [\n             // ✅ your Cloudflare Worker (put near the top)\n            { name: \"cf-worker\", url: `${WORKER_BASE}${encodeURIComponent(target)}` },\n            { name: \"local-proxy\", url: \"http://localhost:3000/pgp-stats\" },\n            // { name: \"powershell-proxy\", url: \"http://localhost:3000/pgp-stats\" },\n            { name: \"allorigins\", url: `https://api.allorigins.win/raw?url=${encodeURIComponent(target)}` },\n            { name: \"corsproxy\", url: `https://corsproxy.io/?${target}` },\n            { name: \"github-pages-proxy\", url: \"https://lorenasandoval88.github.io/personal_genomes_project_sdk/pgp-stats\" }\n        ];\n\n        let html = null;\n        let source = null;\n        const failures = [];\n\n        for (const candidate of candidates) {\n            try {\n                const response = await fetch(candidate.url);\n                //console.log(`Trying ${candidate.name}: HTTP ${response.status}`);\n                if (!response.ok) {\n                    failures.push(`${candidate.name}: HTTP ${response.status}`);\n                    continue;\n                }\n\n                html = await response.text();\n                source = candidate.name;\n                break;\n            } catch (error) {\n                failures.push(`${candidate.name}: ${error.message}`);\n            }\n        }\n\n        if (!html) {\n            throw new Error(`Unable to fetch stats (${failures.join(\" | \")}).`);\n        }\n\n        const parser = new DOMParser();\n        const doc = parser.parseFromString(html, \"text/html\");\n\n        const stats = parseStatsFromDocument(doc);\n\n        if (!stats) {\n            if (sourceStatusEl) sourceStatusEl.textContent = `Source: ${source}`;\n            if (outputEl) outputEl.textContent = \"No data found\";\n            return null;\n        }\n\n        // Cache the fresh data\n        await setCachedStats(stats, source);\n\n        if (sourceStatusEl) sourceStatusEl.textContent = `Source: ${source}`;\n        if (outputEl) {\n            outputEl.textContent = `${JSON.stringify(stats, null, 2)}\\n\\nSource: ${source}`;\n        }\n\n        renderStatsChart(stats);\n        return stats;\n    } catch (error) {\n        if (sourceStatusEl) sourceStatusEl.textContent = \"Source: unavailable\";\n        if (outputEl) outputEl.textContent = `Error: ${error.message}`;\n        return null;\n    } finally {\n        if (forceRefreshBtn) forceRefreshBtn.disabled = false;\n    }\n}\n\nconst forceRefreshBtn = document.getElementById(\"forceRefreshStatsBtn\");\nif (forceRefreshBtn) {\n    forceRefreshBtn.addEventListener(\"click\", () => displayStats({ forceRefresh: true }));\n}\n\n// Expose for dev console\nif (typeof window !== \"undefined\") {\n    window.displayStats = displayStats;\n    window.getCachedStats = getCachedStats;\n    window.setCachedStats = setCachedStats;\n}\n\nconst PARTICIPANTS_URL = \"./src/js/data/updatedParticipantsList_participants_1017_with_build.json\";\nconst FALLBACK_URL = \"./src/js/data/participant_list_1017.json\";\n\nconst state = {\n    all: [],\n    view: [],\n    selected: new Set(),\n    query: \"\",\n    typeFilter: \"\",\n    buildFilter: \"\",\n    sortKey: \"publishedDate\",\n    sortDir: \"desc\",\n    page: 1,\n    pageSize: 25\n};\n\nfunction escapeHtml(value) {\n    return String(value ?? \"\").replace(/[&<>\"']/g, ch => ({\n        \"&\": \"&amp;\",\n        \"<\": \"&lt;\",\n        \">\": \"&gt;\",\n        '\"': \"&quot;\",\n        \"'\": \"&#39;\"\n    }[ch]));\n}\n\nfunction normalize(p) {\n    const files = Array.isArray(p.genomeBuildFiles) ? p.genomeBuildFiles : [];\n    const sizeMB = files.reduce((sum, f) => sum + (Number(f?.sizeMB) || 0), 0);\n\n    return {\n        id: p.id || \"\",\n        name: p.name || \"\",\n        publishedDate: p.publishedDate || \"\",\n        filename: p.innerFilename || p.filename || p.fileName || \"\",\n        extension: (p.filenameExtension || p.fileExtension || \"\").toLowerCase(),\n        genomeBuild: p.genomeBuild ? String(p.genomeBuild) : \"\",\n        sizeMB: sizeMB > 0 ? sizeMB : null,\n        fileUrl: p.finalUrl || p.downloadUrl || \"\",\n        profileUrl: p.profileUrl || (p.id ? `https://my.pgp-hms.org/profile/${p.id}` : \"\")\n    };\n}\n\nfunction applyFilters() {\n    const query = state.query.trim().toLowerCase();\n\n    state.view = state.all.filter(p => {\n        if (state.typeFilter && p.extension !== state.typeFilter) return false;\n        if (state.buildFilter && p.genomeBuild !== state.buildFilter) return false;\n        if (!query) return true;\n        return `${p.id} ${p.name} ${p.filename}`.toLowerCase().includes(query);\n    });\n\n    const dir = state.sortDir === \"asc\" ? 1 : -1;\n    const key = state.sortKey;\n\n    state.view.sort((a, b) => {\n        if (key === \"sizeMB\") return ((a.sizeMB ?? -1) - (b.sizeMB ?? -1)) * dir;\n        return String(a[key]).localeCompare(String(b[key]), undefined, { numeric: true, sensitivity: \"base\" }) * dir;\n    });\n\n    const maxPage = Math.max(1, Math.ceil(state.view.length / state.pageSize));\n    if (state.page > maxPage) state.page = maxPage;\n}\n\nfunction pageRows() {\n    const start = (state.page - 1) * state.pageSize;\n    return state.view.slice(start, start + state.pageSize);\n}\n\nfunction sortIcon(key) {\n    if (state.sortKey !== key) return '<span class=\"sort-icon\">\\u2195</span>';\n    return `<span class=\"sort-icon active\">${state.sortDir === \"asc\" ? \"\\u2191\" : \"\\u2193\"}</span>`;\n}\n\nfunction renderToolbar() {\n    const types = [...new Set(state.all.map(p => p.extension).filter(Boolean))].sort();\n    const builds = [...new Set(state.all.map(p => p.genomeBuild).filter(Boolean))].sort();\n\n    const typeOptions = types.map(t =>\n        `<option value=\"${escapeHtml(t)}\"${state.typeFilter === t ? \" selected\" : \"\"}>.${escapeHtml(t)}</option>`\n    ).join(\"\");\n\n    const buildOptions = builds.map(b =>\n        `<option value=\"${escapeHtml(b)}\"${state.buildFilter === b ? \" selected\" : \"\"}>Build ${escapeHtml(b)}</option>`\n    ).join(\"\");\n\n    return `\n        <div class=\"row g-2 align-items-center mb-3\">\n            <div class=\"col-12 col-lg-4\">\n                <label class=\"visually-hidden\" for=\"profilesSearch\">Search participants</label>\n                <input type=\"search\" class=\"form-control form-control-sm\" id=\"profilesSearch\"\n                    placeholder=\"Search by ID, name, or file name\"\n                    value=\"${escapeHtml(state.query)}\" autocomplete=\"off\">\n            </div>\n            <div class=\"col-6 col-lg-2\">\n                <label class=\"visually-hidden\" for=\"profilesTypeFilter\">File type</label>\n                <select class=\"form-select form-select-sm\" id=\"profilesTypeFilter\">\n                    <option value=\"\">All file types</option>\n                    ${typeOptions}\n                </select>\n            </div>\n            <div class=\"col-6 col-lg-2\">\n                <label class=\"visually-hidden\" for=\"profilesBuildFilter\">Genome build</label>\n                <select class=\"form-select form-select-sm\" id=\"profilesBuildFilter\">\n                    <option value=\"\">All builds</option>\n                    ${buildOptions}\n                </select>\n            </div>\n            <div class=\"col-12 col-lg-4 d-flex flex-wrap gap-2 justify-content-lg-end\">\n                <button type=\"button\" class=\"btn btn-sm btn-outline-secondary\" id=\"profilesResetBtn\">Reset</button>\n                <button type=\"button\" class=\"btn btn-sm btn-outline-primary\" id=\"profilesCopyBtn\">Copy IDs</button>\n                <button type=\"button\" class=\"btn btn-sm btn-primary\" id=\"profilesExportBtn\">Export CSV</button>\n            </div>\n        </div>\n        <div class=\"d-flex flex-wrap align-items-center justify-content-between gap-2 mb-2\">\n            <div class=\"small text-muted\" id=\"profilesResultCount\"></div>\n            <div class=\"d-flex align-items-center gap-2\">\n                <span class=\"badge text-bg-primary\" id=\"profilesSelectedCount\">0 selected</span>\n                <button type=\"button\" class=\"btn btn-sm btn-link p-0\" id=\"profilesClearSelection\">Clear</button>\n            </div>\n        </div>\n    `;\n}\n\nfunction renderTable() {\n    if (state.view.length === 0) {\n        return `\n            <div class=\"text-center text-muted border rounded py-5\">\n                <p class=\"mb-3\">No participants match your filters.</p>\n                <button type=\"button\" class=\"btn btn-sm btn-outline-secondary\" id=\"profilesEmptyReset\">Reset filters</button>\n            </div>\n        `;\n    }\n\n    const headers = [\n        { key: \"id\", label: \"ID\", width: \"110px\" },\n        { key: \"name\", label: \"Name\", width: \"150px\" },\n        { key: \"publishedDate\", label: \"Published\", width: \"110px\" },\n        { key: \"filename\", label: \"File\", width: \"auto\" },\n        { key: \"extension\", label: \"Type\", width: \"90px\" },\n        { key: \"genomeBuild\", label: \"Build\", width: \"90px\" },\n        { key: \"sizeMB\", label: \"Size\", width: \"90px\" }\n    ];\n\n    const headerHtml = headers.map(h => `\n        <th style=\"width:${h.width};\">\n            <button type=\"button\" class=\"table-sort-btn\" data-sort=\"${h.key}\">${h.label} ${sortIcon(h.key)}</button>\n        </th>\n    `).join(\"\");\n\n    const bodyHtml = pageRows().map(p => {\n        const id = escapeHtml(p.id);\n        const fileLabel = escapeHtml(p.filename || (p.fileUrl ? \"Download\" : \"\\u2014\"));\n        const fileCell = p.fileUrl\n            ? `<a href=\"${escapeHtml(p.fileUrl)}\" target=\"_blank\" rel=\"noopener noreferrer\">${fileLabel}</a>`\n            : '<span class=\"text-muted\">\\u2014</span>';\n        const size = p.sizeMB ? `${p.sizeMB.toFixed(1)} MB` : '<span class=\"text-muted\">\\u2014</span>';\n        const build = p.genomeBuild\n            ? `<span class=\"badge text-bg-light border\">build ${escapeHtml(p.genomeBuild)}</span>`\n            : '<span class=\"text-muted\">\\u2014</span>';\n        const ext = p.extension\n            ? `<span class=\"badge text-bg-secondary\">${escapeHtml(p.extension)}</span>`\n            : '<span class=\"text-muted\">\\u2014</span>';\n\n        return `\n            <tr>\n                <td><input type=\"checkbox\" class=\"form-check-input profile-row-check\" value=\"${id}\"\n                    aria-label=\"Select ${id}\"${state.selected.has(p.id) ? \" checked\" : \"\"}></td>\n                <td><a href=\"${escapeHtml(p.profileUrl)}\" target=\"_blank\" rel=\"noopener noreferrer\"><code>${id}</code></a></td>\n                <td class=\"cell-truncate\" title=\"${escapeHtml(p.name)}\">${escapeHtml(p.name || \"\\u2014\")}</td>\n                <td>${escapeHtml(p.publishedDate || \"\\u2014\")}</td>\n                <td class=\"cell-truncate\" title=\"${fileLabel}\">${fileCell}</td>\n                <td>${ext}</td>\n                <td>${build}</td>\n                <td>${size}</td>\n            </tr>\n        `;\n    }).join(\"\");\n\n    return `\n        <div class=\"table-responsive border rounded\">\n            <table class=\"table table-sm table-hover align-middle mb-0 profiles-table\">\n                <thead>\n                    <tr>\n                        <th style=\"width:40px;\"><input type=\"checkbox\" class=\"form-check-input\" id=\"profilesSelectPage\"\n                            aria-label=\"Select all rows on this page\"></th>\n                        ${headerHtml}\n                    </tr>\n                </thead>\n                <tbody>${bodyHtml}</tbody>\n            </table>\n        </div>\n    `;\n}\n\nfunction renderPagination() {\n    const total = state.view.length;\n    if (total === 0) return \"\";\n    const maxPage = Math.max(1, Math.ceil(total / state.pageSize));\n\n    return `\n        <div class=\"d-flex flex-wrap align-items-center justify-content-between gap-2 mt-3\">\n            <div class=\"d-flex align-items-center gap-2 small text-muted\">\n                <label for=\"profilesPageSize\" class=\"mb-0\">Rows per page</label>\n                <select class=\"form-select form-select-sm w-auto\" id=\"profilesPageSize\">\n                    ${[10, 25, 50, 100].map(n =>\n                        `<option value=\"${n}\"${state.pageSize === n ? \" selected\" : \"\"}>${n}</option>`\n                    ).join(\"\")}\n                </select>\n            </div>\n            <div class=\"d-flex align-items-center gap-2\">\n                <button type=\"button\" class=\"btn btn-sm btn-outline-secondary\" data-page=\"first\"\n                    ${state.page === 1 ? \"disabled\" : \"\"}>&laquo;</button>\n                <button type=\"button\" class=\"btn btn-sm btn-outline-secondary\" data-page=\"prev\"\n                    ${state.page === 1 ? \"disabled\" : \"\"}>Prev</button>\n                <span class=\"small text-muted\">Page ${state.page} of ${maxPage}</span>\n                <button type=\"button\" class=\"btn btn-sm btn-outline-secondary\" data-page=\"next\"\n                    ${state.page === maxPage ? \"disabled\" : \"\"}>Next</button>\n                <button type=\"button\" class=\"btn btn-sm btn-outline-secondary\" data-page=\"last\"\n                    ${state.page === maxPage ? \"disabled\" : \"\"}>&raquo;</button>\n            </div>\n        </div>\n    `;\n}\n\nfunction updateCounts(container) {\n    const countEl = container.querySelector(\"#profilesResultCount\");\n    const selectedEl = container.querySelector(\"#profilesSelectedCount\");\n    const pageBox = container.querySelector(\"#profilesSelectPage\");\n    const rows = pageRows();\n\n    if (countEl) {\n        const total = state.view.length;\n        const start = total === 0 ? 0 : (state.page - 1) * state.pageSize + 1;\n        const end = Math.min(state.page * state.pageSize, total);\n        const filtered = total !== state.all.length ? ` (filtered from ${state.all.length})` : \"\";\n        countEl.textContent = `Showing ${start}\\u2013${end} of ${total} participants${filtered}`;\n    }\n\n    if (selectedEl) selectedEl.textContent = `${state.selected.size} selected`;\n\n    if (pageBox && rows.length) {\n        const checked = rows.filter(r => state.selected.has(r.id)).length;\n        pageBox.checked = checked === rows.length;\n        pageBox.indeterminate = checked > 0 && checked < rows.length;\n    }\n}\n\nfunction render() {\n    const container = document.getElementById(\"profilesTable\");\n    if (!container) return;\n\n    applyFilters();\n\n    const searchEl = container.querySelector(\"#profilesSearch\");\n    const hadFocus = document.activeElement === searchEl;\n    const caret = searchEl ? searchEl.selectionStart : null;\n\n    container.innerHTML = renderToolbar() + renderTable() + renderPagination();\n    updateCounts(container);\n\n    if (hadFocus) {\n        const next = container.querySelector(\"#profilesSearch\");\n        if (next) {\n            next.focus();\n            if (caret !== null) next.setSelectionRange(caret, caret);\n        }\n    }\n}\n\nfunction toCsv(rows) {\n    const headers = [\"id\", \"name\", \"publishedDate\", \"filename\", \"extension\", \"genomeBuild\", \"sizeMB\", \"fileUrl\", \"profileUrl\"];\n    const cell = v => `\"${String(v ?? \"\").replace(/\"/g, '\"\"')}\"`;\n    return [headers.join(\",\"), ...rows.map(r => headers.map(h => cell(r[h])).join(\",\"))].join(\"\\n\");\n}\n\nfunction downloadCsv() {\n    const rows = state.selected.size\n        ? state.view.filter(r => state.selected.has(r.id))\n        : state.view;\n\n    const blob = new Blob([toCsv(rows)], { type: \"text/csv;charset=utf-8;\" });\n    const url = URL.createObjectURL(blob);\n    const link = document.createElement(\"a\");\n    link.href = url;\n    link.download = `pgp-23andme-participants-${new Date().toISOString().slice(0, 10)}.csv`;\n    link.click();\n    URL.revokeObjectURL(url);\n    return rows.length;\n}\n\nfunction flash(message) {\n    const el = document.getElementById(\"profilesToast\");\n    if (!el) return;\n    el.textContent = message;\n    el.classList.add(\"show\");\n    clearTimeout(flash.timer);\n    flash.timer = setTimeout(() => el.classList.remove(\"show\"), 2200);\n}\n\nfunction wireEvents() {\n    const container = document.getElementById(\"profilesTable\");\n    if (!container || container.dataset.wired === \"true\") return;\n    container.dataset.wired = \"true\";\n\n    let searchTimer = null;\n\n    container.addEventListener(\"input\", e => {\n        if (e.target.id !== \"profilesSearch\") return;\n        const value = e.target.value;\n        clearTimeout(searchTimer);\n        searchTimer = setTimeout(() => {\n            state.query = value;\n            state.page = 1;\n            render();\n        }, 200);\n    });\n\n    container.addEventListener(\"change\", e => {\n        const t = e.target;\n        if (t.id === \"profilesTypeFilter\") {\n            state.typeFilter = t.value;\n            state.page = 1;\n            render();\n        } else if (t.id === \"profilesBuildFilter\") {\n            state.buildFilter = t.value;\n            state.page = 1;\n            render();\n        } else if (t.id === \"profilesPageSize\") {\n            state.pageSize = Number(t.value);\n            state.page = 1;\n            render();\n        } else if (t.id === \"profilesSelectPage\") {\n            pageRows().forEach(r => t.checked ? state.selected.add(r.id) : state.selected.delete(r.id));\n            container.querySelectorAll(\".profile-row-check\").forEach(b => { b.checked = t.checked; });\n            updateCounts(container);\n        } else if (t.classList.contains(\"profile-row-check\")) {\n            if (t.checked) state.selected.add(t.value);\n            else state.selected.delete(t.value);\n            updateCounts(container);\n        }\n    });\n\n    container.addEventListener(\"click\", e => {\n        const sortBtn = e.target.closest(\"[data-sort]\");\n        if (sortBtn) {\n            const key = sortBtn.dataset.sort;\n            if (state.sortKey === key) {\n                state.sortDir = state.sortDir === \"asc\" ? \"desc\" : \"asc\";\n            } else {\n                state.sortKey = key;\n                state.sortDir = (key === \"publishedDate\" || key === \"sizeMB\") ? \"desc\" : \"asc\";\n            }\n            render();\n            return;\n        }\n\n        const pageBtn = e.target.closest(\"[data-page]\");\n        if (pageBtn) {\n            const maxPage = Math.max(1, Math.ceil(state.view.length / state.pageSize));\n            const action = pageBtn.dataset.page;\n            if (action === \"first\") state.page = 1;\n            if (action === \"prev\") state.page = Math.max(1, state.page - 1);\n            if (action === \"next\") state.page = Math.min(maxPage, state.page + 1);\n            if (action === \"last\") state.page = maxPage;\n            render();\n            return;\n        }\n\n        if (e.target.id === \"profilesResetBtn\" || e.target.id === \"profilesEmptyReset\") {\n            state.query = \"\";\n            state.typeFilter = \"\";\n            state.buildFilter = \"\";\n            state.page = 1;\n            render();\n            return;\n        }\n\n        if (e.target.id === \"profilesClearSelection\") {\n            state.selected.clear();\n            render();\n            return;\n        }\n\n        if (e.target.id === \"profilesExportBtn\") {\n            const count = downloadCsv();\n            flash(`Exported ${count} rows to CSV`);\n            return;\n        }\n\n        if (e.target.id === \"profilesCopyBtn\") {\n            const ids = [...state.selected];\n            if (ids.length === 0) {\n                flash(\"Select at least one participant first\");\n                return;\n            }\n            navigator.clipboard?.writeText(ids.join(\"\\n\"))\n                .then(() => flash(`Copied ${ids.length} participant IDs`))\n                .catch(() => flash(\"Clipboard unavailable\"));\n        }\n    });\n}\n\nfunction renderProfilesTable(participants) {\n    state.all = (participants || []).map(normalize);\n    state.selected.clear();\n    state.page = 1;\n    wireEvents();\n    render();\n}\n\nfunction getSelectedProfileIds() {\n    return [...state.selected];\n}\n\nasync function displayProfiles() {\n    const container = document.getElementById(\"profilesTable\");\n    const sourceStatusEl = document.getElementById(\"profilesSourceStatus\");\n\n    if (container) {\n        container.innerHTML = `\n            <div class=\"d-flex align-items-center gap-2 text-muted py-4\">\n                <span class=\"spinner-border spinner-border-sm\" role=\"status\" aria-hidden=\"true\"></span>\n                Loading participants...\n            </div>\n        `;\n    }\n    if (sourceStatusEl) sourceStatusEl.textContent = \"Source: loading...\";\n\n    for (const url of [PARTICIPANTS_URL, FALLBACK_URL]) {\n        try {\n            const response = await fetch(url);\n            if (!response.ok) continue;\n\n            const participants = await response.json();\n            if (!Array.isArray(participants) || participants.length === 0) continue;\n\n            if (sourceStatusEl) {\n                sourceStatusEl.textContent = `Source: ${url.split(\"/\").pop()} \\u2014 ${participants.length} records`;\n            }\n\n            renderProfilesTable(participants);\n            return { participants, source: url };\n        } catch (error) {\n            console.warn(`displayProfiles(): failed to load ${url}:`, error.message);\n        }\n    }\n\n    if (sourceStatusEl) sourceStatusEl.textContent = \"Source: unavailable\";\n    if (container) {\n        container.dataset.wired = \"\";\n        container.innerHTML = `\n            <div class=\"alert alert-danger d-flex align-items-center justify-content-between\" role=\"alert\">\n                <span>Could not load the participant list.</span>\n                <button type=\"button\" class=\"btn btn-sm btn-outline-danger\" id=\"profilesRetryBtn\">Retry</button>\n            </div>\n        `;\n        const retryBtn = container.querySelector(\"#profilesRetryBtn\");\n        if (retryBtn) retryBtn.addEventListener(\"click\", () => displayProfiles());\n    }\n\n    return { participants: [], source: \"unavailable\" };\n}\n\n// Expose for dev console\nif (typeof window !== \"undefined\") {\n    window.displayProfiles = displayProfiles;\n    window.renderProfilesTable = renderProfilesTable;\n    window.getSelectedProfileIds = getSelectedProfileIds;\n}\n\n/**\n * Fetches 23andMe participant data from Personal Genome Project (PGP) and Openhumans with a cache-first strategy and multi-proxy fallback to bypass CORS restrictions.\n * \n * Features:\n * - Cache-first loading: Checks local cache before making network requests, and caches successful responses for future use.\n * - Multi-proxy fallback: Tries multiple proxy endpoints (Cloudflare Worker, local proxy, AllOrigins, CORSProxy) to fetch data, increasing chances of success despite CORS issues.\n * - HTML parsing: Parses HTML responses from PGP to extract structured participant data, including IDs, profile URLs, published dates, data types, sources, names, and download links.\n * - Source tracking: Keeps track of where data was loaded from (cache or which proxy) for debugging and transparency.\n */\n\n\n// Helper to check for supported genome version labels (v3, v4, v5)\nfunction hasSupportedGenomeVersionLabel(value = \"\") {\n  return /(^|[^a-z0-9])v(?:3|4|5)(?=[^a-z0-9]|$)/i.test(String(value));\n}\n\n//PGP search results page (HTML) for 23andMe datasets—not an API endpoint\nconst dataType = \"23andMe\";\nconst PGP_BASE_URL = \"https://my.pgp-hms.org\";\nconst PGP_23ANDME_URL = `${PGP_BASE_URL}/public_genetic_data?utf8=%E2%9C%93&data_type=${dataType}&commit=Search`;\n\nconst WORKER_BASE = \"https://lorena-api.lorenasandoval88.workers.dev/?url=\";\nconst PARTICIPANT_CACHE_PREFIX = `Genome:${dataType}-participant-`; // per-participant cache (full metadata + resolved filename)\nconst PROFILE_CACHE_PREFIX = `Genome:${dataType}-profile-`;\nconst ALL_PARTICIPANT_CACHE_PREFIX = `Genome:${dataType}-allParticipants-`; // per-participant cache (full metadata + resolved filename)\nconst ALL_PARTICIPANT_CACHE_FAST_KEY = `${ALL_PARTICIPANT_CACHE_PREFIX}fast`;\nconst ALL_PARTICIPANT_CACHE_STANDARD_KEY = `${ALL_PARTICIPANT_CACHE_PREFIX}standard`;\n\n\n\nlet lastAllUsersSource = null;\nconst lastProfileSourceById = new Map();\n\n\n// begin data types\nasync function fetchAvailableDataTypes({\n  base_url = `${PGP_BASE_URL}/public_genetic_data`,\n      url = `${WORKER_BASE}${encodeURIComponent(base_url)}`,\n\n  fetchImpl = fetch\n} = {}) {\n  const res = await fetchImpl(url);\n  if (!res.ok) {\n    throw new Error(`Failed to fetch PGP data types: ${res.status} ${res.statusText}`);\n  }\n\n  const html = await res.text();\n  const doc = new DOMParser().parseFromString(html, \"text/html\");\n\n  // 1) Best case: actual <select name=\"data_type\"> options\n  const selectOptions = [\n    ...doc.querySelectorAll('select[name=\"data_type\"] option')\n  ]\n    .map(opt => ({\n      value: (opt.getAttribute(\"value\") || \"\").trim(),\n      label: (opt.textContent || \"\").trim()\n    }))\n    .filter(d => d.label && d.value);\n\n  if (selectOptions.length) {\n    return dedupeByValue(selectOptions);\n  }\n\n  // 2) Fallback: links containing ?data_type=...\n  const linkOptions = [\n    ...doc.querySelectorAll('a[href*=\"data_type=\"]')\n  ]\n    .map(a => {\n      try {\n        const href = a.getAttribute(\"href\");\n        const full = new URL(href, url);\n        const value = (full.searchParams.get(\"data_type\") || \"\").trim();\n        const label = (a.textContent || \"\").trim();\n        return { value, label: label || value };\n      } catch {\n        return null;\n      }\n    })\n    .filter(Boolean)\n    .filter(d => d.value);\n\n  if (linkOptions.length) {\n    return dedupeByValue(linkOptions);\n  }\n\n  // 3) Last resort: parse visible text labels\n  const text = doc.body?.textContent || \"\";\n  const start = text.indexOf(\"All data types\");\n  const end = text.indexOf(\"Participant Published Data type Source Name Download Report\");\n\n  if (start !== -1 && end !== -1 && end > start) {\n    const block = text\n      .slice(start + \"All data types\".length, end)\n      .replace(/\\s+/g, \" \")\n      .trim();\n\n    const labels = splitDatatypeBlock(block);\n\n    return labels.map(label => ({\n      label,\n      value: normalizeDataTypeValue(label)\n    }));\n  }\n\n  return [];\n}\n\nfunction dedupeByValue(items) {\n  const seen = new Map();\n\n  for (const item of items) {\n    const key = item.value;\n    if (!seen.has(key)) {\n      seen.set(key, item);\n    }\n  }\n\n  return [...seen.values()];\n}\n\nfunction splitDatatypeBlock(block) {\n  const knownPrefixes = [\n    \"biometric data - \",\n    \"genetic data - \",\n    \"health records - \",\n    \"image - \",\n    \"microbiome data\",\n    \"other\"\n  ];\n\n  const labels = [];\n  let i = 0;\n\n  while (i < block.length) {\n    let nextPrefix = null;\n    let nextIndex = Infinity;\n\n    for (const prefix of knownPrefixes) {\n      const idx = block.indexOf(prefix, i);\n      if (idx !== -1 && idx < nextIndex) {\n        nextIndex = idx;\n        nextPrefix = prefix;\n      }\n    }\n\n    if (nextPrefix == null) break;\n\n    let followingIndex = Infinity;\n    for (const prefix of knownPrefixes) {\n      const idx = block.indexOf(prefix, nextIndex + nextPrefix.length);\n      if (idx !== -1 && idx < followingIndex) {\n        followingIndex = idx;\n      }\n    }\n\n    const label = block\n      .slice(nextIndex, followingIndex === Infinity ? block.length : followingIndex)\n      .trim();\n\n    if (label) labels.push(label);\n    i = nextIndex + label.length;\n  }\n\n  return [...new Set(labels)];\n}\n\nfunction normalizeDataTypeValue(label) {\n  // Converts visible labels into likely query values.\n  // You can expand this map if PGP uses different internal values.\n  const explicitMap = {\n    \"genetic data - 23andMe\": \"23andMe\",\n    \"genetic data - Complete Genomics\": \"Complete Genomics\",\n    \"genetic data - Counsyl\": \"Counsyl\",\n    \"genetic data - DeCode\": \"DeCode\",\n    \"genetic data - Family Tree DNA\": \"Family Tree DNA\",\n    \"genetic data - Gencove low-pass\": \"Gencove low-pass\",\n    \"genetic data - Illumina\": \"Illumina\",\n    \"genetic data - Knome\": \"Knome\",\n    \"genetic data - Navigenics\": \"Navigenics\",\n    \"genetic data - Pathway Genomics\": \"Pathway Genomics\",\n    \"genetic data - Veritas Genetics\": \"Veritas Genetics\",\n    \"biometric data - CSV or similar\": \"CSV or similar\",\n    \"health records - CCR XML\": \"CCR XML\",\n    \"health records - PDF or text\": \"PDF or text\",\n    \"image - PNG or JPEG or similar\": \"PNG or JPEG or similar\",\n    \"microbiome data\": \"microbiome data\",\n    \"other\": \"other\"\n  };\n\n  if (explicitMap[label]) return explicitMap[label];\n\n  // Generic fallback: remove category prefix\n  return label\n    .replace(/^genetic data - /i, \"\")\n    .replace(/^biometric data - /i, \"\")\n    .replace(/^health records - /i, \"\")\n    .replace(/^image - /i, \"\")\n    .trim();\n}\n//   end data types\n\n\nfunction getStorage() {\n    return localforage;\n}\n\nfunction isCacheWithinMonths(savedAt, months = 3) {\n    if (!savedAt) return false;\n    const savedDate = new Date(savedAt);\n    if (Number.isNaN(savedDate.getTime())) return false;\n\n    const cutoff = new Date();\n    cutoff.setMonth(cutoff.getMonth() - months);\n    return savedDate >= cutoff;\n}\n\n// Per-participant cache helpers\nasync function getCachedParticipant(id) {\n    if (!id) return null;\n    const storage = getStorage();\n    if (!storage) return null;\n    try {\n        const cached = await storage.getItem(PARTICIPANT_CACHE_PREFIX + id);\n        return cached || null;\n    } catch (error) {\n        return null;\n    }\n}\n\nasync function setCachedParticipant(id, participant) {\n    if (!id) return;\n    const storage = getStorage();\n    if (!storage) return;\n    try {\n        await storage.setItem(PARTICIPANT_CACHE_PREFIX + id, {\n            ...participant,\n            cachedAt: Date.now()\n        });\n    } catch (error) {\n        console.warn(`Failed to cache participant ${id}:`, error);\n    }\n}\n\n// Bulk cache helpers for fast version (all participants under one key)\nasync function getCachedAllParticipants_fast(key = ALL_PARTICIPANT_CACHE_FAST_KEY) {\n    const storage = getStorage();\n    if (!storage) return null;\n    try {\n        const cached = await storage.getItem(key);\n        if (!cached || !Array.isArray(cached.participants)) return null;\n        // console.log(`getCachedAllParticipants: found ${cached.participants.length} cached participants`);\n        return cached.participants;\n    } catch (error) {\n        console.warn(\"Failed to read bulk participants cache:\", error);\n        return null;\n    }\n}\n\nasync function setCachedAllParticipants(participants, key = ALL_PARTICIPANT_CACHE_FAST_KEY) {\n    const storage = getStorage();\n    if (!storage) return;\n    try {\n        await storage.setItem(key, {\n            participants,\n            cachedAt: Date.now()\n        });\n        // console.log(`setCachedAllParticipants: saved ${participants.length} participants`);\n    } catch (error) {\n        console.warn(\"Failed to save bulk participants cache:\", error);\n    }\n}\n\n// Bulk cache helpers for standard version (all participants under one key)\nasync function getCachedAllParticipantsStandard(limit) {\n    const storage = getStorage();\n    if (!storage) return null;\n    try {\n        const cached = await storage.getItem(ALL_PARTICIPANT_CACHE_STANDARD_KEY);\n        if (!cached || !Array.isArray(cached.participants)) return null;\n        // console.log(`getCachedAllParticipantsStandard: found ${cached.participants.length} cached participants`);\n        return cached.participants.slice(0, limit);\n    } catch (error) {\n        console.warn(\"Failed to read standard bulk participants cache:\", error);\n        return null;\n    }\n}\n\nasync function setCachedAllParticipantsStandard(participants) {\n    const storage = getStorage();\n    if (!storage) return;\n    try {\n        await storage.setItem(ALL_PARTICIPANT_CACHE_STANDARD_KEY, {\n            participants,\n            cachedAt: Date.now()\n        });\n        // console.log(`setCachedAllParticipantsStandard: saved ${participants.length} participants`);\n    } catch (error) {\n        console.warn(\"Failed to save standard bulk participants cache:\", error);\n    }\n}\n\n/**\n * Parse HTML to extract participant data with per-participant caching\n * @param {string} html - HTML content from PGP\n * @param {number} limit - Number of participants to return\n * @param {string} source - Source identifier\n * @param {Object} options - Options for callbacks\n * @param {number} options.batchSize - Log progress every N participants (default: 10)\n * @param {Function} options.onBatchComplete - Callback when a batch is processed\n * @returns {Promise<Array>} Array of participant objects\n */\nasync function parseParticipants(html, limit, source = \"unknown\", options = {}) {\n    const { batchSize = 10, onBatchComplete = null } = options;\n    \n    //console.log(\"parseParticipants(html): Parsing participants from HTML source:\", source);\n    const parser = new DOMParser();\n    const doc = parser.parseFromString(html, \"text/html\");\n\n    let rows = [...doc.querySelectorAll(\"tr[data-file-row]\")];\n    if (rows.length === 0) {\n        rows = [...doc.querySelectorAll(\"table tr\")];\n    }\n\n    // console.log(`parseParticipants(html): Parsing participants from HTML source: ${source}. Found ${rows.length} participant rows, first 5 rows:`, rows.slice(0, 5));\n\n    const participants = [];\n\n    for (const row of rows) {\n        if (participants.length >= limit) break;\n\n        const cells = row.querySelectorAll(\"td\");\n        if (cells.length < 7) continue;\n\n        const participantLink = cells[1].querySelector(\"a\");\n        const downloadLink = cells[6].querySelector(\"a\");\n\n        if (!participantLink) continue;\n\n        const id = participantLink.textContent.trim();\n        const downloadUrl = downloadLink ? `https://my.pgp-hms.org${downloadLink.getAttribute(\"href\")}` : null;\n        \n        // Check per-participant cache first\n        const cachedParticipant = await getCachedParticipant(id);\n        \n        if (cachedParticipant) {\n            participants.push(cachedParticipant);\n            // console.log(`parseParticipants(html): [CACHE HIT] id: ${id}, filename: ${cachedParticipant.fileName}`,cachedParticipant);\n        } else {\n            // Resolve actual filename from download URL\n            const resolved = await resolveDownloadFilename(downloadUrl);\n            \n            const participant = {\n                id,\n                profileUrl: `https://my.pgp-hms.org${participantLink.getAttribute(\"href\")}`,\n                publishedDate: cells[2].textContent.trim(),\n                dataType: cells[3].textContent.trim(),\n                dataSource: source,\n                name: cells[5].textContent.trim(),\n                fileName: resolved.fileName,\n                fileExtension: resolved.fileExtension,\n                finalUrl: resolved.finalUrl,\n                downloadUrl\n            };\n            \n            // Cache the participant\n            await setCachedParticipant(id, participant);\n            participants.push(participant);\n            // console.log(`parseParticipants [NETWORK] id: ${id}, filename: ${resolved.fileName}`);\n        }\n        \n        // Progress callback every batchSize participants\n        if (participants.length % batchSize === 0) {\n            // console.log(`parseParticipants: Progress ${participants.length}/${limit} (cache: ${resolvedFromCache}, network: ${resolvedFromNetwork})`);\n            if (onBatchComplete) {\n                await onBatchComplete([...participants]);\n            }\n        }\n    }\n    \n    // console.log(`Parsed ${participants.length} participants (cache: ${resolvedFromCache}, network: ${resolvedFromNetwork}):`);\n \n    return participants;\n}\n\n/**\n * Parse HTML to extract participant data (fast version - no network calls per participant)\n * @param {string} html - HTML content from PGP\n * @param {number} limit - Number of participants to return\n * @returns {Array} Array of participant objects\n */\nfunction parseParticipants_fast(html, source = \"unknown\") {\n    // console.log(\"***************Parsing participants (fast) from HTML source:\", source);\n    const parser = new DOMParser();\n    const doc = parser.parseFromString(html, \"text/html\");\n\n    let rows = [...doc.querySelectorAll(\"tr[data-file-row]\")];\n    if (rows.length === 0) {\n        rows = [...doc.querySelectorAll(\"table tr\")];\n    }\n\n    // console.log(\"Found rows:\", rows.length);\n\n    const participants = [];\n\n    for (const row of rows) {\n\n        const cells = row.querySelectorAll(\"td\");\n        if (cells.length < 7) continue;\n\n        const participantLink = cells[1].querySelector(\"a\");\n        const downloadLink = cells[6].querySelector(\"a\");\n\n        if (!participantLink) continue;\n\n        const fileName = cells[5].textContent.trim();\n        const fileExtension = fileName.match(/\\.(txt|zip)$/i)?.[1]?.toLowerCase() || null;\n        // console.log(`parseParticipants_fast  filename: ${fileName} (download URL: ${downloadLink ? `https://my.pgp-hms.org${downloadLink.getAttribute(\"href\")}` : \"no download link\"})`);\n        const participant = {\n            id: participantLink.textContent.trim(),\n            profileUrl: `https://my.pgp-hms.org${participantLink.getAttribute(\"href\")}`,\n            publishedDate: cells[2].textContent.trim(),\n            dataType: cells[3].textContent.trim(),\n            dataSource: source,\n            name: fileName,\n            fileName,\n            fileExtension,\n            finalUrl: null, // Not resolved in fast version\n            downloadUrl: downloadLink ? `https://my.pgp-hms.org${downloadLink.getAttribute(\"href\")}` : null\n        };\n        participants.push(participant);\n    }\n    // console.log(`Parsed ${participants.length} participants (fast):`, participants[0]);\n    return participants;\n}\n\n/**\n * Fetch a list of PGP 23andMe participants (fast version - no filename resolution)\n * Uses bulk cache under ALL_PARTICIPANT_CACHE_PREFIX - all participants stored under one key.\n * Returns cached data if available and sufficient, otherwise fetches fresh HTML.\n * @param {number} limit - Number of participants to return (default: 1100)\n * @returns {Promise<Array>} Array of participant objects\n */\nasync function allUsersMetaDataByType_fast(dataType = \"23andMe\") {\n/**\n * Fetch a list of PGP 23andMe participants (fast version - no filename resolution)\n * Uses bulk cache under ALL_PARTICIPANT_CACHE_PREFIX - all participants stored under one key.\n * Returns cached data if available and sufficient, otherwise fetches fresh HTML.\n * @param {number} limit - Number of participants to return (default: 1100)\n * @returns {Promise<Array>} Array of participant objects\n */\n    const pgpUrl = `${PGP_BASE_URL}/public_genetic_data?utf8=%E2%9C%93&data_type=${encodeURIComponent(dataType)}&commit=Search`;\n    const cacheKey = `Genome:${dataType}-allParticipants-fast`;\n\n    // Check bulk cache first\n    const cached = await getCachedAllParticipants_fast(cacheKey);\n    if (cached && cached.length > 0) {\n        lastAllUsersSource = \"cache\";\n        // console.log(`fetch23andMeParticipants_fast(): Found ${cached.length} participants from bulk cache:`, cached);\n        return cached;\n    }\n\n    const candidates = [\n        { name: \"cf-worker\", url: `${WORKER_BASE}${encodeURIComponent(pgpUrl)}` },\n        { name: \"local-proxy\", url: \"http://localhost:3000/pgp-participants\" },\n        { name: \"allorigins\", url: `https://api.allorigins.win/raw?url=${encodeURIComponent(pgpUrl)}` },\n        { name: \"corsproxy\", url: `https://corsproxy.io/?${pgpUrl}` }\n    ];\n    let html = null;\n    let usedSource = null;\n    const errors = [];\n\n    for (const candidate of candidates) {\n        try {\n            // console.log(`fetch23andMeParticipants_fast(): Trying to fetch participants from ${candidate.name}...`);\n            const response = await fetch(candidate.url);\n            if (response.ok) {\n                // console.log(`fetch23andMeParticipants_fast(): Successfully fetched from ${candidate.name}`);\n                html = await response.text();\n                usedSource = candidate.name;\n                break;\n            }\n            errors.push(`${candidate.name}: HTTP ${response.status}`);\n        } catch (error) {\n            errors.push(`${candidate.name}: ${error.message}`);\n        }\n    }\n    if (!html) {\n        throw new Error(`Failed to fetch PGP data: ${errors.join(\", \")}`);\n    }\n    lastAllUsersSource = usedSource;\n    \n    const participants = parseParticipants_fast(html, lastAllUsersSource);\n    \n    // Save to bulk cache\n    await setCachedAllParticipants(participants, cacheKey);\n    \n    return participants;\n}\n\n/**\n * Fetch a list of PGP 23andMe participants with per-participant caching.\n * Uses cache-first loading from a standard bulk cache and falls back to HTML fetching.\n * Parsed participants are cached in bulk and also cached individually for filename resolution.\n * Each participant is cached individually - \"Load more\" naturally works.\n * \n * // uses parseParticipants() and resolveDownloadFilename() to get actual filenames, which may involve network calls per participant if not cached.\n * @param {number} limit - Number of participants to return (default: 10)\n * @param {Object} options - Options\n * @param {number} options.batchSize - Log progress every N participants (default: 10)\n * @returns {Promise<Array>} Array of participant objects\n */\nasync function fetch23andMeParticipants(limit = 10, options = {}) {\n    // const types = await fetchAvailableDataTypes();\n    // console.log(\"types-------------------:\", types);\n\n\n    const { batchSize = 10 } = options;\n\n    const cached = await getCachedAllParticipantsStandard(limit);\n    if (cached && cached.length >= limit) {\n        lastAllUsersSource = \"cache\";\n        // console.log(`fetch23andMeParticipants(): Found ${cached.length} participants from standard bulk cache`);\n        return cached;\n    }\n    \n    //console.log(\"fetch23andMeParticipants-------------------\")\n\n    const candidates = [\n        { name: \"cf-worker\", url: `${WORKER_BASE}${encodeURIComponent(PGP_23ANDME_URL)}` },\n        { name: \"local-proxy\", url: \"http://localhost:3000/pgp-participants\" },\n        { name: \"allorigins\", url: `https://api.allorigins.win/raw?url=${encodeURIComponent(PGP_23ANDME_URL)}` },\n        { name: \"corsproxy\", url: `https://corsproxy.io/?${PGP_23ANDME_URL}` }\n    ];\n    let html = null;\n    let usedSource = null;\n    const errors = [];\n\n    for (const candidate of candidates) {\n        try {\n            // console.log(`fetch23andMeParticipants(): Trying to fetch participants from ${candidate.name}...`);\n            const response = await fetch(candidate.url);\n            if (response.ok) {\n                html = await response.text();\n                // console.log(`fetch23andMeParticipants(): Successfully fetched participants from ${candidate.name},`, `response.text()...:`, html.slice(0, 500));\n\n                usedSource = candidate.name;\n                break;\n            }\n            errors.push(`${candidate.name}: HTTP ${response.status}`);\n        } catch (error) {\n            errors.push(`${candidate.name}: ${error.message}`);\n        }\n    }\n\n    if (!html) {\n        throw new Error(`Failed to fetch PGP data: ${errors.join(\", \")}`);\n    }\n\n    lastAllUsersSource = usedSource;\n    \n    // Parse - each participant is cached individually\n    const participants = await parseParticipants(html, limit, lastAllUsersSource, { batchSize });\n    await setCachedAllParticipantsStandard(participants);\n    return participants;\n}\n\n// Fetch a PGP profile by ID using cache if available, otherwise try multiple proxy endpoints until successful, then cache and return the result.\n// 1. Cache-first strategy 2. Multi-proxy fallback 3. Source tracking\n// Example: fetchProfile(\"hu416394\").then(console.log);\nasync function fetchProfile(id) {\n    console.log(`fetchProfile(): Fetching profile for ID: ${id}...`);\n    const resolvedId = typeof id === \"string\" && id.trim() ? id.trim() : \"hu09B28E\";\n\n    const cachedProfile = await getCachedProfile(resolvedId);\n    if (cachedProfile) {\n        console.log(`fetchProfile(): Cache hit for ID: ${resolvedId}`);//, profile:`, cachedProfile);\n        lastProfileSourceById.set(resolvedId, \"cache\");\n        return cachedProfile;\n    }\n    console.log(`fetchProfile(): Cache miss for ID: ${resolvedId}, trying network...`);\n    const profileUrl = `https://my.pgp-hms.org/profile/${resolvedId}.json`;\n    const candidates = [\n        { name: \"cf-worker\", url: `${WORKER_BASE}${encodeURIComponent(profileUrl)}` },\n        { name: \"local-proxy\", url: `http://localhost:3000/pgp-profile/${resolvedId}` },\n        { name: \"allorigins\", url: `https://api.allorigins.win/raw?url=${encodeURIComponent(profileUrl)}` },\n        { name: \"corsproxy\", url: `https://corsproxy.io/?${profileUrl}` }\n    ];\n\n    const errors = [];\n    for (const candidate of candidates) {\n        // console.log(`fetchProfile(): Trying to fetch profile ${resolvedId} from ${candidate.name}...`);\n\n        try {\n            const res = await fetch(candidate.url, {\n                headers: {\n                    \"Accept\": \"application/json\"\n                }\n            });\n\n            if (!res.ok) {\n                errors.push(`${candidate.name}: HTTP ${res.status}`);\n                continue;\n            }\n            const data = await res.json();\n            console.log(`fetchProfile(): Successfully fetched profile ${resolvedId} from ${candidate.name}`,data);\n\n            lastProfileSourceById.set(resolvedId, candidate.name);\n            await setCachedProfile(resolvedId, data);\n            //console.log(`fetchProfile(): Saving profile cache in localforage: ${resolvedId}`);\n\n            return data;\n        } catch (error) {\n            errors.push(`${candidate.name}: ${error.message}`);\n        }\n    }\n\n    throw new Error(`Failed to fetch profile ${resolvedId}: ${errors.join(\", \")}`);\n}\n\n// Helper functions for fetchProfile(id) cache management\nasync function getCachedProfile(id) {\n    const storage = getStorage();\n    if (!storage) return null;\n\n    try {\n        const cached = await storage.getItem(PROFILE_CACHE_PREFIX + id);\n        if (!cached) return null;\n\n        const { savedAt, profile } = cached;\n        if (isCacheWithinMonths(savedAt)) {\n            return profile;\n        }\n        return null;\n    } catch (error) {\n        return null;\n    }\n}\n\n// Helper functions for fetchProfile(id) cache management\nasync function setCachedProfile(id, profile) {\n    const storage = getStorage();\n    if (!storage) return;\n    await storage.setItem(PROFILE_CACHE_PREFIX + id, {\n        savedAt: new Date().toISOString(),\n        profile\n    });\n}\nfunction getLastAllUsersSource() {\n    // console.log(\"getLastAllUsersSource:\", lastAllUsersSource);\n    return lastAllUsersSource;\n}\n\nfunction getLastProfileSource(id) {\n    // console.log(\"getLastProfileSource:\", lastProfileSourceById.get(id));\n    return lastProfileSourceById.get(id) || null;\n}\n\n\n/**\n * Resolve the actual filename from a PGP download URL by following redirects.\n * Uses multi-proxy fallback to bypass CORS, similar to loadTxts.js.\n * @param {string} downloadUrl - The download URL (e.g., https://my.pgp-hms.org/user_file/download/4187)\n * @returns {Promise<{finalUrl: string, fileName: string, fileExtension: string|null}>}\n */\nasync function resolveDownloadFilename(downloadUrl) {\n    if (!downloadUrl) {\n        return { finalUrl: null, fileName: null, fileExtension: null };\n    }\n\n    const candidates = [\n        { name: \"cf-worker\", url: `${WORKER_BASE}${encodeURIComponent(downloadUrl)}` },\n        { name: \"local-proxy\", url: `http://localhost:3000/pgp-resolve?url=${encodeURIComponent(downloadUrl)}` },\n        { name: \"allorigins\", url: `https://api.allorigins.win/raw?url=${encodeURIComponent(downloadUrl)}` },\n        { name: \"corsproxy\", url: `https://corsproxy.io/?${downloadUrl}` }\n    ];\n\n    let finalUrl = null;\n    let finalResponse = null;\n    let successSource = null;\n    let lastError = null;\n\n    for (const candidate of candidates) {\n        try {\n            // console.log(`resolveDownloadFilename(): Trying ${candidate.name}...from url ${candidate.url}`);\n            const response = await fetch(candidate.url);\n\n            if (!response.ok) {\n                throw new Error(`HTTP ${response.status}`);\n            }\n\n            // Get final URL from header or response.url\n            finalUrl =\n                response.headers.get(\"x-final-url\") ||\n                response.headers.get(\"X-Final-URL\") ||\n                response.url;\n\n            finalResponse = response;\n            successSource = candidate.name;\n            // console.log(`resolveDownloadFilename(): Success with ${candidate.name}. Final URL: ${finalUrl}`);\n            break;\n        } catch (err) {\n            console.warn(`resolveDownloadFilename(): ${candidate.name} failed: ${err.message}`);\n            lastError = err;\n        }\n    }\n\n    if (!finalUrl || !finalResponse) {\n        console.warn(`resolveDownloadFilename(): All proxies failed for ${downloadUrl}: ${lastError?.message}`);\n        return { finalUrl: null, fileName: null, fileExtension: null };\n    }\n\n    // ------------------------------------------------------------\n    // Route by final URL type\n    // ------------------------------------------------------------\n\n    // 1) Direct TXT\n    if (finalUrl.endsWith(\".txt\")) {\n        const fileName = finalUrl.split(\"/\").pop()?.split(\"?\")[0] || null;\n        const fileExtension = \"txt\";\n        // console.log(`resolveDownloadFilename(): Direct TXT - filename: ${fileName}`);\n        return { finalUrl, fileName, fileExtension };\n    }\n\n    // 2) Direct ZIP - extract inner TXT filename\n    else if (finalUrl.endsWith(\".zip\")) {\n        try {\n            const buffer = await finalResponse.arrayBuffer();\n\n            if (!buffer || buffer.byteLength === 0) {\n                throw new Error(`ZIP response from ${successSource} is empty`);\n            }\n\n            const bytes = new Uint8Array(buffer);\n            const isZipBuffer = bytes.length >= 2 && bytes[0] === 0x50 && bytes[1] === 0x4b;\n\n            if (!isZipBuffer) {\n                const preview = new TextDecoder(\"utf-8\").decode(bytes.slice(0, 300));\n                console.error(\"resolveDownloadFilename(): Response is not a ZIP file. Preview:\", preview);\n                throw new Error(`Response from ${successSource} is not a ZIP archive`);\n            }\n\n            const zip = await JSZip.loadAsync(buffer);\n            const zipNames = Object.keys(zip.files);\n            // console.log(\"resolveDownloadFilename(): ZIP entries:\", zipNames);\n\n            const targetFile = zipNames\n                .map(name => zip.files[name])\n                .find(file => !file.dir && file.name.toLowerCase().endsWith(\".txt\") && hasSupportedGenomeVersionLabel(file.name));\n\n            if (!targetFile) {\n                // Fallback to ZIP filename itself\n                const zipFileName = finalUrl.split(\"/\").pop()?.split(\"?\")[0] || null;\n                // console.log(`resolveDownloadFilename(): No v3/v4/v5 .txt found in ZIP, using ZIP filename: ${zipFileName}`);\n                return { finalUrl, fileName: zipFileName, fileExtension: \"zip\" };\n            }\n\n            // console.log(`resolveDownloadFilename(): Found TXT inside ZIP: ${targetFile.name}`);\n            return { finalUrl, fileName: targetFile.name, fileExtension: \"txt\" };\n        } catch (err) {\n            console.warn(`resolveDownloadFilename(): Failed to parse ZIP: ${err.message}`);\n            const zipFileName = finalUrl.split(\"/\").pop()?.split(\"?\")[0] || null;\n            return { finalUrl, fileName: zipFileName, fileExtension: \"zip\" };\n        }\n    }\n\n    // 3) Directory listing / collection root\n    else if (finalUrl.endsWith(\"/_/\")) {\n        try {\n            const html = await finalResponse.text();\n\n            if (!html || !html.trim()) {\n                throw new Error(`Directory listing from ${successSource} is empty`);\n            }\n\n            // Extract hrefs from HTML listing\n            const hrefs = [...html.matchAll(/href=\"([^\"]+)\"/gi)].map(m => m[1]);\n\n            // Prefer .zip first, then .txt\n            const preferredHref =\n                hrefs.find(h => /\\.zip$/i.test(h) && hasSupportedGenomeVersionLabel(h)) ||\n                hrefs.find(h => /\\.txt$/i.test(h) && hasSupportedGenomeVersionLabel(h));\n\n            if (!preferredHref) {\n                console.warn(\"resolveDownloadFilename(): No v3/v4/v5 .zip or .txt found in directory listing\");\n                return { finalUrl, fileName: null, fileExtension: null };\n            }\n\n            const resolvedFileUrl = new URL(preferredHref, finalUrl).href;\n            const fileName = resolvedFileUrl.split(\"/\").pop()?.split(\"?\")[0] || null;\n            const fileExtension = fileName?.match(/\\.(txt|zip)$/i)?.[1]?.toLowerCase() || null;\n\n            // console.log(`resolveDownloadFilename(): Directory listing resolved to: ${fileName}`);\n            return { finalUrl: resolvedFileUrl, fileName, fileExtension };\n        } catch (err) {\n            console.warn(`resolveDownloadFilename(): Failed to parse directory listing: ${err.message}`);\n            return { finalUrl, fileName: null, fileExtension: null };\n        }\n    }\n\n    // 4) Fallback - extract filename from URL\n    const fileName = finalUrl.split(\"/\").pop()?.split(\"?\")[0] || null;\n    const fileExtension = fileName?.match(/\\.(txt|zip)$/i)?.[1]?.toLowerCase() || null;\n\n    // console.log(`resolveDownloadFilename(): Fallback - extracted filename: ${fileName}, extension: ${fileExtension}`);\n    return { finalUrl, fileName, fileExtension };\n}\n\n\n\n// Expose for dev console\nif (typeof window !== \"undefined\") {\n    window.fetchAvailableDataTypes = fetchAvailableDataTypes;\n    window.fetch23andMeParticipants = fetch23andMeParticipants;\n    window.allUsersMetaDataByType_fast = allUsersMetaDataByType_fast;\n    window.parseParticipants = parseParticipants;\n    window.parseParticipants_fast = parseParticipants_fast;\n    window.fetchProfile = fetchProfile;\n    window.getLastAllUsersSource = getLastAllUsersSource;\n    window.getLastProfileSource = getLastProfileSource;\n    window.resolveDownloadFilename = resolveDownloadFilename;\n}\n\n\n// ALL USERS ENDPOINT (VCF 23ANDME ETC METADATA, WITHOUT FILES) - PAGINATED JSON (NO HTML PARSING, MORE STABLE)\n// without web crawling, so we dont rely on the HTML structure of the page, which can change \n// and break our code. Instead, we can use the JSON endpoint that provides structured data about \n// users. This endpoint is paginated, so we can fetch all pages to get the complete list of \n// participants.\n// Get all 6214 users: paginate the JSON endpoint\n// https://my.pgp-hms.org/users.json?page=1\n// https://my.pgp-hms.org/users.json?page=2\n// https://my.pgp-hms.org/users.json?page=3\n// ...\n\n// async function fetchAllUsersJson() {\n//   const all = [];\n//   let page = 1;\n//   let total = Infinity;\n\n//   while (all.length < total) {\n//     const url = `https://my.pgp-hms.org/users.json?page=${page}`;\n//     const res = await fetch(url);\n//     const json = await res.json();\n\n//     const chunk = json.aaData || [];\n\n//     if (total === Infinity) {\n//       total = json.iTotalRecords || Infinity;\n//       console.log(\"Total records:\", total);\n//     }\n\n//     if (!chunk.length) break;\n\n//     all.push(...chunk);\n\n//     page++;\n//     await new Promise(r => setTimeout(r, 150));\n//   }\n\n//   return all;\n// }\n\nexport { JSZip, allUsersMetaDataByType_fast, displayProfiles, displayStats, fetch23andMeParticipants, fetchAvailableDataTypes, fetchProfile, get23Txt, getLastAllUsersSource, getLastProfileSource, localforage, parse23Txt };\n//# sourceMappingURL=sdk.mjs.map\n","/*!\n    localForage -- Offline Storage, Improved\n    Version 1.10.0\n    https://localforage.github.io/localForage\n    (c) 2013-2017 Mozilla, Apache License 2.0\n*/\n(function(f){if(typeof exports===\"object\"&&typeof module!==\"undefined\"){module.exports=f()}else if(typeof define===\"function\"&&define.amd){define([],f)}else{var g;if(typeof window!==\"undefined\"){g=window}else if(typeof global!==\"undefined\"){g=global}else if(typeof self!==\"undefined\"){g=self}else{g=this}g.localforage = f()}})(function(){var define,module,exports;return (function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require==\"function\"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error(\"Cannot find module '\"+o+\"'\");throw (f.code=\"MODULE_NOT_FOUND\", f)}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require==\"function\"&&require;for(var o=0;o<r.length;o++)s(r[o]);return s})({1:[function(_dereq_,module,exports){\n(function (global){\n'use strict';\nvar Mutation = global.MutationObserver || global.WebKitMutationObserver;\n\nvar scheduleDrain;\n\n{\n  if (Mutation) {\n    var called = 0;\n    var observer = new Mutation(nextTick);\n    var element = global.document.createTextNode('');\n    observer.observe(element, {\n      characterData: true\n    });\n    scheduleDrain = function () {\n      element.data = (called = ++called % 2);\n    };\n  } else if (!global.setImmediate && typeof global.MessageChannel !== 'undefined') {\n    var channel = new global.MessageChannel();\n    channel.port1.onmessage = nextTick;\n    scheduleDrain = function () {\n      channel.port2.postMessage(0);\n    };\n  } else if ('document' in global && 'onreadystatechange' in global.document.createElement('script')) {\n    scheduleDrain = function () {\n\n      // Create a <script> element; its readystatechange event will be fired asynchronously once it is inserted\n      // into the document. Do so, thus queuing up the task. Remember to clean up once it's been called.\n      var scriptEl = global.document.createElement('script');\n      scriptEl.onreadystatechange = function () {\n        nextTick();\n\n        scriptEl.onreadystatechange = null;\n        scriptEl.parentNode.removeChild(scriptEl);\n        scriptEl = null;\n      };\n      global.document.documentElement.appendChild(scriptEl);\n    };\n  } else {\n    scheduleDrain = function () {\n      setTimeout(nextTick, 0);\n    };\n  }\n}\n\nvar draining;\nvar queue = [];\n//named nextTick for less confusing stack traces\nfunction nextTick() {\n  draining = true;\n  var i, oldQueue;\n  var len = queue.length;\n  while (len) {\n    oldQueue = queue;\n    queue = [];\n    i = -1;\n    while (++i < len) {\n      oldQueue[i]();\n    }\n    len = queue.length;\n  }\n  draining = false;\n}\n\nmodule.exports = immediate;\nfunction immediate(task) {\n  if (queue.push(task) === 1 && !draining) {\n    scheduleDrain();\n  }\n}\n\n}).call(this,typeof global !== \"undefined\" ? global : typeof self !== \"undefined\" ? self : typeof window !== \"undefined\" ? window : {})\n},{}],2:[function(_dereq_,module,exports){\n'use strict';\nvar immediate = _dereq_(1);\n\n/* istanbul ignore next */\nfunction INTERNAL() {}\n\nvar handlers = {};\n\nvar REJECTED = ['REJECTED'];\nvar FULFILLED = ['FULFILLED'];\nvar PENDING = ['PENDING'];\n\nmodule.exports = Promise;\n\nfunction Promise(resolver) {\n  if (typeof resolver !== 'function') {\n    throw new TypeError('resolver must be a function');\n  }\n  this.state = PENDING;\n  this.queue = [];\n  this.outcome = void 0;\n  if (resolver !== INTERNAL) {\n    safelyResolveThenable(this, resolver);\n  }\n}\n\nPromise.prototype[\"catch\"] = function (onRejected) {\n  return this.then(null, onRejected);\n};\nPromise.prototype.then = function (onFulfilled, onRejected) {\n  if (typeof onFulfilled !== 'function' && this.state === FULFILLED ||\n    typeof onRejected !== 'function' && this.state === REJECTED) {\n    return this;\n  }\n  var promise = new this.constructor(INTERNAL);\n  if (this.state !== PENDING) {\n    var resolver = this.state === FULFILLED ? onFulfilled : onRejected;\n    unwrap(promise, resolver, this.outcome);\n  } else {\n    this.queue.push(new QueueItem(promise, onFulfilled, onRejected));\n  }\n\n  return promise;\n};\nfunction QueueItem(promise, onFulfilled, onRejected) {\n  this.promise = promise;\n  if (typeof onFulfilled === 'function') {\n    this.onFulfilled = onFulfilled;\n    this.callFulfilled = this.otherCallFulfilled;\n  }\n  if (typeof onRejected === 'function') {\n    this.onRejected = onRejected;\n    this.callRejected = this.otherCallRejected;\n  }\n}\nQueueItem.prototype.callFulfilled = function (value) {\n  handlers.resolve(this.promise, value);\n};\nQueueItem.prototype.otherCallFulfilled = function (value) {\n  unwrap(this.promise, this.onFulfilled, value);\n};\nQueueItem.prototype.callRejected = function (value) {\n  handlers.reject(this.promise, value);\n};\nQueueItem.prototype.otherCallRejected = function (value) {\n  unwrap(this.promise, this.onRejected, value);\n};\n\nfunction unwrap(promise, func, value) {\n  immediate(function () {\n    var returnValue;\n    try {\n      returnValue = func(value);\n    } catch (e) {\n      return handlers.reject(promise, e);\n    }\n    if (returnValue === promise) {\n      handlers.reject(promise, new TypeError('Cannot resolve promise with itself'));\n    } else {\n      handlers.resolve(promise, returnValue);\n    }\n  });\n}\n\nhandlers.resolve = function (self, value) {\n  var result = tryCatch(getThen, value);\n  if (result.status === 'error') {\n    return handlers.reject(self, result.value);\n  }\n  var thenable = result.value;\n\n  if (thenable) {\n    safelyResolveThenable(self, thenable);\n  } else {\n    self.state = FULFILLED;\n    self.outcome = value;\n    var i = -1;\n    var len = self.queue.length;\n    while (++i < len) {\n      self.queue[i].callFulfilled(value);\n    }\n  }\n  return self;\n};\nhandlers.reject = function (self, error) {\n  self.state = REJECTED;\n  self.outcome = error;\n  var i = -1;\n  var len = self.queue.length;\n  while (++i < len) {\n    self.queue[i].callRejected(error);\n  }\n  return self;\n};\n\nfunction getThen(obj) {\n  // Make sure we only access the accessor once as required by the spec\n  var then = obj && obj.then;\n  if (obj && (typeof obj === 'object' || typeof obj === 'function') && typeof then === 'function') {\n    return function appyThen() {\n      then.apply(obj, arguments);\n    };\n  }\n}\n\nfunction safelyResolveThenable(self, thenable) {\n  // Either fulfill, reject or reject with error\n  var called = false;\n  function onError(value) {\n    if (called) {\n      return;\n    }\n    called = true;\n    handlers.reject(self, value);\n  }\n\n  function onSuccess(value) {\n    if (called) {\n      return;\n    }\n    called = true;\n    handlers.resolve(self, value);\n  }\n\n  function tryToUnwrap() {\n    thenable(onSuccess, onError);\n  }\n\n  var result = tryCatch(tryToUnwrap);\n  if (result.status === 'error') {\n    onError(result.value);\n  }\n}\n\nfunction tryCatch(func, value) {\n  var out = {};\n  try {\n    out.value = func(value);\n    out.status = 'success';\n  } catch (e) {\n    out.status = 'error';\n    out.value = e;\n  }\n  return out;\n}\n\nPromise.resolve = resolve;\nfunction resolve(value) {\n  if (value instanceof this) {\n    return value;\n  }\n  return handlers.resolve(new this(INTERNAL), value);\n}\n\nPromise.reject = reject;\nfunction reject(reason) {\n  var promise = new this(INTERNAL);\n  return handlers.reject(promise, reason);\n}\n\nPromise.all = all;\nfunction all(iterable) {\n  var self = this;\n  if (Object.prototype.toString.call(iterable) !== '[object Array]') {\n    return this.reject(new TypeError('must be an array'));\n  }\n\n  var len = iterable.length;\n  var called = false;\n  if (!len) {\n    return this.resolve([]);\n  }\n\n  var values = new Array(len);\n  var resolved = 0;\n  var i = -1;\n  var promise = new this(INTERNAL);\n\n  while (++i < len) {\n    allResolver(iterable[i], i);\n  }\n  return promise;\n  function allResolver(value, i) {\n    self.resolve(value).then(resolveFromAll, function (error) {\n      if (!called) {\n        called = true;\n        handlers.reject(promise, error);\n      }\n    });\n    function resolveFromAll(outValue) {\n      values[i] = outValue;\n      if (++resolved === len && !called) {\n        called = true;\n        handlers.resolve(promise, values);\n      }\n    }\n  }\n}\n\nPromise.race = race;\nfunction race(iterable) {\n  var self = this;\n  if (Object.prototype.toString.call(iterable) !== '[object Array]') {\n    return this.reject(new TypeError('must be an array'));\n  }\n\n  var len = iterable.length;\n  var called = false;\n  if (!len) {\n    return this.resolve([]);\n  }\n\n  var i = -1;\n  var promise = new this(INTERNAL);\n\n  while (++i < len) {\n    resolver(iterable[i]);\n  }\n  return promise;\n  function resolver(value) {\n    self.resolve(value).then(function (response) {\n      if (!called) {\n        called = true;\n        handlers.resolve(promise, response);\n      }\n    }, function (error) {\n      if (!called) {\n        called = true;\n        handlers.reject(promise, error);\n      }\n    });\n  }\n}\n\n},{\"1\":1}],3:[function(_dereq_,module,exports){\n(function (global){\n'use strict';\nif (typeof global.Promise !== 'function') {\n  global.Promise = _dereq_(2);\n}\n\n}).call(this,typeof global !== \"undefined\" ? global : typeof self !== \"undefined\" ? self : typeof window !== \"undefined\" ? window : {})\n},{\"2\":2}],4:[function(_dereq_,module,exports){\n'use strict';\n\nvar _typeof = typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj; };\n\nfunction _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError(\"Cannot call a class as a function\"); } }\n\nfunction getIDB() {\n    /* global indexedDB,webkitIndexedDB,mozIndexedDB,OIndexedDB,msIndexedDB */\n    try {\n        if (typeof indexedDB !== 'undefined') {\n            return indexedDB;\n        }\n        if (typeof webkitIndexedDB !== 'undefined') {\n            return webkitIndexedDB;\n        }\n        if (typeof mozIndexedDB !== 'undefined') {\n            return mozIndexedDB;\n        }\n        if (typeof OIndexedDB !== 'undefined') {\n            return OIndexedDB;\n        }\n        if (typeof msIndexedDB !== 'undefined') {\n            return msIndexedDB;\n        }\n    } catch (e) {\n        return;\n    }\n}\n\nvar idb = getIDB();\n\nfunction isIndexedDBValid() {\n    try {\n        // Initialize IndexedDB; fall back to vendor-prefixed versions\n        // if needed.\n        if (!idb || !idb.open) {\n            return false;\n        }\n        // We mimic PouchDB here;\n        //\n        // We test for openDatabase because IE Mobile identifies itself\n        // as Safari. Oh the lulz...\n        var isSafari = typeof openDatabase !== 'undefined' && /(Safari|iPhone|iPad|iPod)/.test(navigator.userAgent) && !/Chrome/.test(navigator.userAgent) && !/BlackBerry/.test(navigator.platform);\n\n        var hasFetch = typeof fetch === 'function' && fetch.toString().indexOf('[native code') !== -1;\n\n        // Safari <10.1 does not meet our requirements for IDB support\n        // (see: https://github.com/pouchdb/pouchdb/issues/5572).\n        // Safari 10.1 shipped with fetch, we can use that to detect it.\n        // Note: this creates issues with `window.fetch` polyfills and\n        // overrides; see:\n        // https://github.com/localForage/localForage/issues/856\n        return (!isSafari || hasFetch) && typeof indexedDB !== 'undefined' &&\n        // some outdated implementations of IDB that appear on Samsung\n        // and HTC Android devices <4.4 are missing IDBKeyRange\n        // See: https://github.com/mozilla/localForage/issues/128\n        // See: https://github.com/mozilla/localForage/issues/272\n        typeof IDBKeyRange !== 'undefined';\n    } catch (e) {\n        return false;\n    }\n}\n\n// Abstracts constructing a Blob object, so it also works in older\n// browsers that don't support the native Blob constructor. (i.e.\n// old QtWebKit versions, at least).\n// Abstracts constructing a Blob object, so it also works in older\n// browsers that don't support the native Blob constructor. (i.e.\n// old QtWebKit versions, at least).\nfunction createBlob(parts, properties) {\n    /* global BlobBuilder,MSBlobBuilder,MozBlobBuilder,WebKitBlobBuilder */\n    parts = parts || [];\n    properties = properties || {};\n    try {\n        return new Blob(parts, properties);\n    } catch (e) {\n        if (e.name !== 'TypeError') {\n            throw e;\n        }\n        var Builder = typeof BlobBuilder !== 'undefined' ? BlobBuilder : typeof MSBlobBuilder !== 'undefined' ? MSBlobBuilder : typeof MozBlobBuilder !== 'undefined' ? MozBlobBuilder : WebKitBlobBuilder;\n        var builder = new Builder();\n        for (var i = 0; i < parts.length; i += 1) {\n            builder.append(parts[i]);\n        }\n        return builder.getBlob(properties.type);\n    }\n}\n\n// This is CommonJS because lie is an external dependency, so Rollup\n// can just ignore it.\nif (typeof Promise === 'undefined') {\n    // In the \"nopromises\" build this will just throw if you don't have\n    // a global promise object, but it would throw anyway later.\n    _dereq_(3);\n}\nvar Promise$1 = Promise;\n\nfunction executeCallback(promise, callback) {\n    if (callback) {\n        promise.then(function (result) {\n            callback(null, result);\n        }, function (error) {\n            callback(error);\n        });\n    }\n}\n\nfunction executeTwoCallbacks(promise, callback, errorCallback) {\n    if (typeof callback === 'function') {\n        promise.then(callback);\n    }\n\n    if (typeof errorCallback === 'function') {\n        promise[\"catch\"](errorCallback);\n    }\n}\n\nfunction normalizeKey(key) {\n    // Cast the key to a string, as that's all we can set as a key.\n    if (typeof key !== 'string') {\n        console.warn(key + ' used as a key, but it is not a string.');\n        key = String(key);\n    }\n\n    return key;\n}\n\nfunction getCallback() {\n    if (arguments.length && typeof arguments[arguments.length - 1] === 'function') {\n        return arguments[arguments.length - 1];\n    }\n}\n\n// Some code originally from async_storage.js in\n// [Gaia](https://github.com/mozilla-b2g/gaia).\n\nvar DETECT_BLOB_SUPPORT_STORE = 'local-forage-detect-blob-support';\nvar supportsBlobs = void 0;\nvar dbContexts = {};\nvar toString = Object.prototype.toString;\n\n// Transaction Modes\nvar READ_ONLY = 'readonly';\nvar READ_WRITE = 'readwrite';\n\n// Transform a binary string to an array buffer, because otherwise\n// weird stuff happens when you try to work with the binary string directly.\n// It is known.\n// From http://stackoverflow.com/questions/14967647/ (continues on next line)\n// encode-decode-image-with-base64-breaks-image (2013-04-21)\nfunction _binStringToArrayBuffer(bin) {\n    var length = bin.length;\n    var buf = new ArrayBuffer(length);\n    var arr = new Uint8Array(buf);\n    for (var i = 0; i < length; i++) {\n        arr[i] = bin.charCodeAt(i);\n    }\n    return buf;\n}\n\n//\n// Blobs are not supported in all versions of IndexedDB, notably\n// Chrome <37 and Android <5. In those versions, storing a blob will throw.\n//\n// Various other blob bugs exist in Chrome v37-42 (inclusive).\n// Detecting them is expensive and confusing to users, and Chrome 37-42\n// is at very low usage worldwide, so we do a hacky userAgent check instead.\n//\n// content-type bug: https://code.google.com/p/chromium/issues/detail?id=408120\n// 404 bug: https://code.google.com/p/chromium/issues/detail?id=447916\n// FileReader bug: https://code.google.com/p/chromium/issues/detail?id=447836\n//\n// Code borrowed from PouchDB. See:\n// https://github.com/pouchdb/pouchdb/blob/master/packages/node_modules/pouchdb-adapter-idb/src/blobSupport.js\n//\nfunction _checkBlobSupportWithoutCaching(idb) {\n    return new Promise$1(function (resolve) {\n        var txn = idb.transaction(DETECT_BLOB_SUPPORT_STORE, READ_WRITE);\n        var blob = createBlob(['']);\n        txn.objectStore(DETECT_BLOB_SUPPORT_STORE).put(blob, 'key');\n\n        txn.onabort = function (e) {\n            // If the transaction aborts now its due to not being able to\n            // write to the database, likely due to the disk being full\n            e.preventDefault();\n            e.stopPropagation();\n            resolve(false);\n        };\n\n        txn.oncomplete = function () {\n            var matchedChrome = navigator.userAgent.match(/Chrome\\/(\\d+)/);\n            var matchedEdge = navigator.userAgent.match(/Edge\\//);\n            // MS Edge pretends to be Chrome 42:\n            // https://msdn.microsoft.com/en-us/library/hh869301%28v=vs.85%29.aspx\n            resolve(matchedEdge || !matchedChrome || parseInt(matchedChrome[1], 10) >= 43);\n        };\n    })[\"catch\"](function () {\n        return false; // error, so assume unsupported\n    });\n}\n\nfunction _checkBlobSupport(idb) {\n    if (typeof supportsBlobs === 'boolean') {\n        return Promise$1.resolve(supportsBlobs);\n    }\n    return _checkBlobSupportWithoutCaching(idb).then(function (value) {\n        supportsBlobs = value;\n        return supportsBlobs;\n    });\n}\n\nfunction _deferReadiness(dbInfo) {\n    var dbContext = dbContexts[dbInfo.name];\n\n    // Create a deferred object representing the current database operation.\n    var deferredOperation = {};\n\n    deferredOperation.promise = new Promise$1(function (resolve, reject) {\n        deferredOperation.resolve = resolve;\n        deferredOperation.reject = reject;\n    });\n\n    // Enqueue the deferred operation.\n    dbContext.deferredOperations.push(deferredOperation);\n\n    // Chain its promise to the database readiness.\n    if (!dbContext.dbReady) {\n        dbContext.dbReady = deferredOperation.promise;\n    } else {\n        dbContext.dbReady = dbContext.dbReady.then(function () {\n            return deferredOperation.promise;\n        });\n    }\n}\n\nfunction _advanceReadiness(dbInfo) {\n    var dbContext = dbContexts[dbInfo.name];\n\n    // Dequeue a deferred operation.\n    var deferredOperation = dbContext.deferredOperations.pop();\n\n    // Resolve its promise (which is part of the database readiness\n    // chain of promises).\n    if (deferredOperation) {\n        deferredOperation.resolve();\n        return deferredOperation.promise;\n    }\n}\n\nfunction _rejectReadiness(dbInfo, err) {\n    var dbContext = dbContexts[dbInfo.name];\n\n    // Dequeue a deferred operation.\n    var deferredOperation = dbContext.deferredOperations.pop();\n\n    // Reject its promise (which is part of the database readiness\n    // chain of promises).\n    if (deferredOperation) {\n        deferredOperation.reject(err);\n        return deferredOperation.promise;\n    }\n}\n\nfunction _getConnection(dbInfo, upgradeNeeded) {\n    return new Promise$1(function (resolve, reject) {\n        dbContexts[dbInfo.name] = dbContexts[dbInfo.name] || createDbContext();\n\n        if (dbInfo.db) {\n            if (upgradeNeeded) {\n                _deferReadiness(dbInfo);\n                dbInfo.db.close();\n            } else {\n                return resolve(dbInfo.db);\n            }\n        }\n\n        var dbArgs = [dbInfo.name];\n\n        if (upgradeNeeded) {\n            dbArgs.push(dbInfo.version);\n        }\n\n        var openreq = idb.open.apply(idb, dbArgs);\n\n        if (upgradeNeeded) {\n            openreq.onupgradeneeded = function (e) {\n                var db = openreq.result;\n                try {\n                    db.createObjectStore(dbInfo.storeName);\n                    if (e.oldVersion <= 1) {\n                        // Added when support for blob shims was added\n                        db.createObjectStore(DETECT_BLOB_SUPPORT_STORE);\n                    }\n                } catch (ex) {\n                    if (ex.name === 'ConstraintError') {\n                        console.warn('The database \"' + dbInfo.name + '\"' + ' has been upgraded from version ' + e.oldVersion + ' to version ' + e.newVersion + ', but the storage \"' + dbInfo.storeName + '\" already exists.');\n                    } else {\n                        throw ex;\n                    }\n                }\n            };\n        }\n\n        openreq.onerror = function (e) {\n            e.preventDefault();\n            reject(openreq.error);\n        };\n\n        openreq.onsuccess = function () {\n            var db = openreq.result;\n            db.onversionchange = function (e) {\n                // Triggered when the database is modified (e.g. adding an objectStore) or\n                // deleted (even when initiated by other sessions in different tabs).\n                // Closing the connection here prevents those operations from being blocked.\n                // If the database is accessed again later by this instance, the connection\n                // will be reopened or the database recreated as needed.\n                e.target.close();\n            };\n            resolve(db);\n            _advanceReadiness(dbInfo);\n        };\n    });\n}\n\nfunction _getOriginalConnection(dbInfo) {\n    return _getConnection(dbInfo, false);\n}\n\nfunction _getUpgradedConnection(dbInfo) {\n    return _getConnection(dbInfo, true);\n}\n\nfunction _isUpgradeNeeded(dbInfo, defaultVersion) {\n    if (!dbInfo.db) {\n        return true;\n    }\n\n    var isNewStore = !dbInfo.db.objectStoreNames.contains(dbInfo.storeName);\n    var isDowngrade = dbInfo.version < dbInfo.db.version;\n    var isUpgrade = dbInfo.version > dbInfo.db.version;\n\n    if (isDowngrade) {\n        // If the version is not the default one\n        // then warn for impossible downgrade.\n        if (dbInfo.version !== defaultVersion) {\n            console.warn('The database \"' + dbInfo.name + '\"' + \" can't be downgraded from version \" + dbInfo.db.version + ' to version ' + dbInfo.version + '.');\n        }\n        // Align the versions to prevent errors.\n        dbInfo.version = dbInfo.db.version;\n    }\n\n    if (isUpgrade || isNewStore) {\n        // If the store is new then increment the version (if needed).\n        // This will trigger an \"upgradeneeded\" event which is required\n        // for creating a store.\n        if (isNewStore) {\n            var incVersion = dbInfo.db.version + 1;\n            if (incVersion > dbInfo.version) {\n                dbInfo.version = incVersion;\n            }\n        }\n\n        return true;\n    }\n\n    return false;\n}\n\n// encode a blob for indexeddb engines that don't support blobs\nfunction _encodeBlob(blob) {\n    return new Promise$1(function (resolve, reject) {\n        var reader = new FileReader();\n        reader.onerror = reject;\n        reader.onloadend = function (e) {\n            var base64 = btoa(e.target.result || '');\n            resolve({\n                __local_forage_encoded_blob: true,\n                data: base64,\n                type: blob.type\n            });\n        };\n        reader.readAsBinaryString(blob);\n    });\n}\n\n// decode an encoded blob\nfunction _decodeBlob(encodedBlob) {\n    var arrayBuff = _binStringToArrayBuffer(atob(encodedBlob.data));\n    return createBlob([arrayBuff], { type: encodedBlob.type });\n}\n\n// is this one of our fancy encoded blobs?\nfunction _isEncodedBlob(value) {\n    return value && value.__local_forage_encoded_blob;\n}\n\n// Specialize the default `ready()` function by making it dependent\n// on the current database operations. Thus, the driver will be actually\n// ready when it's been initialized (default) *and* there are no pending\n// operations on the database (initiated by some other instances).\nfunction _fullyReady(callback) {\n    var self = this;\n\n    var promise = self._initReady().then(function () {\n        var dbContext = dbContexts[self._dbInfo.name];\n\n        if (dbContext && dbContext.dbReady) {\n            return dbContext.dbReady;\n        }\n    });\n\n    executeTwoCallbacks(promise, callback, callback);\n    return promise;\n}\n\n// Try to establish a new db connection to replace the\n// current one which is broken (i.e. experiencing\n// InvalidStateError while creating a transaction).\nfunction _tryReconnect(dbInfo) {\n    _deferReadiness(dbInfo);\n\n    var dbContext = dbContexts[dbInfo.name];\n    var forages = dbContext.forages;\n\n    for (var i = 0; i < forages.length; i++) {\n        var forage = forages[i];\n        if (forage._dbInfo.db) {\n            forage._dbInfo.db.close();\n            forage._dbInfo.db = null;\n        }\n    }\n    dbInfo.db = null;\n\n    return _getOriginalConnection(dbInfo).then(function (db) {\n        dbInfo.db = db;\n        if (_isUpgradeNeeded(dbInfo)) {\n            // Reopen the database for upgrading.\n            return _getUpgradedConnection(dbInfo);\n        }\n        return db;\n    }).then(function (db) {\n        // store the latest db reference\n        // in case the db was upgraded\n        dbInfo.db = dbContext.db = db;\n        for (var i = 0; i < forages.length; i++) {\n            forages[i]._dbInfo.db = db;\n        }\n    })[\"catch\"](function (err) {\n        _rejectReadiness(dbInfo, err);\n        throw err;\n    });\n}\n\n// FF doesn't like Promises (micro-tasks) and IDDB store operations,\n// so we have to do it with callbacks\nfunction createTransaction(dbInfo, mode, callback, retries) {\n    if (retries === undefined) {\n        retries = 1;\n    }\n\n    try {\n        var tx = dbInfo.db.transaction(dbInfo.storeName, mode);\n        callback(null, tx);\n    } catch (err) {\n        if (retries > 0 && (!dbInfo.db || err.name === 'InvalidStateError' || err.name === 'NotFoundError')) {\n            return Promise$1.resolve().then(function () {\n                if (!dbInfo.db || err.name === 'NotFoundError' && !dbInfo.db.objectStoreNames.contains(dbInfo.storeName) && dbInfo.version <= dbInfo.db.version) {\n                    // increase the db version, to create the new ObjectStore\n                    if (dbInfo.db) {\n                        dbInfo.version = dbInfo.db.version + 1;\n                    }\n                    // Reopen the database for upgrading.\n                    return _getUpgradedConnection(dbInfo);\n                }\n            }).then(function () {\n                return _tryReconnect(dbInfo).then(function () {\n                    createTransaction(dbInfo, mode, callback, retries - 1);\n                });\n            })[\"catch\"](callback);\n        }\n\n        callback(err);\n    }\n}\n\nfunction createDbContext() {\n    return {\n        // Running localForages sharing a database.\n        forages: [],\n        // Shared database.\n        db: null,\n        // Database readiness (promise).\n        dbReady: null,\n        // Deferred operations on the database.\n        deferredOperations: []\n    };\n}\n\n// Open the IndexedDB database (automatically creates one if one didn't\n// previously exist), using any options set in the config.\nfunction _initStorage(options) {\n    var self = this;\n    var dbInfo = {\n        db: null\n    };\n\n    if (options) {\n        for (var i in options) {\n            dbInfo[i] = options[i];\n        }\n    }\n\n    // Get the current context of the database;\n    var dbContext = dbContexts[dbInfo.name];\n\n    // ...or create a new context.\n    if (!dbContext) {\n        dbContext = createDbContext();\n        // Register the new context in the global container.\n        dbContexts[dbInfo.name] = dbContext;\n    }\n\n    // Register itself as a running localForage in the current context.\n    dbContext.forages.push(self);\n\n    // Replace the default `ready()` function with the specialized one.\n    if (!self._initReady) {\n        self._initReady = self.ready;\n        self.ready = _fullyReady;\n    }\n\n    // Create an array of initialization states of the related localForages.\n    var initPromises = [];\n\n    function ignoreErrors() {\n        // Don't handle errors here,\n        // just makes sure related localForages aren't pending.\n        return Promise$1.resolve();\n    }\n\n    for (var j = 0; j < dbContext.forages.length; j++) {\n        var forage = dbContext.forages[j];\n        if (forage !== self) {\n            // Don't wait for itself...\n            initPromises.push(forage._initReady()[\"catch\"](ignoreErrors));\n        }\n    }\n\n    // Take a snapshot of the related localForages.\n    var forages = dbContext.forages.slice(0);\n\n    // Initialize the connection process only when\n    // all the related localForages aren't pending.\n    return Promise$1.all(initPromises).then(function () {\n        dbInfo.db = dbContext.db;\n        // Get the connection or open a new one without upgrade.\n        return _getOriginalConnection(dbInfo);\n    }).then(function (db) {\n        dbInfo.db = db;\n        if (_isUpgradeNeeded(dbInfo, self._defaultConfig.version)) {\n            // Reopen the database for upgrading.\n            return _getUpgradedConnection(dbInfo);\n        }\n        return db;\n    }).then(function (db) {\n        dbInfo.db = dbContext.db = db;\n        self._dbInfo = dbInfo;\n        // Share the final connection amongst related localForages.\n        for (var k = 0; k < forages.length; k++) {\n            var forage = forages[k];\n            if (forage !== self) {\n                // Self is already up-to-date.\n                forage._dbInfo.db = dbInfo.db;\n                forage._dbInfo.version = dbInfo.version;\n            }\n        }\n    });\n}\n\nfunction getItem(key, callback) {\n    var self = this;\n\n    key = normalizeKey(key);\n\n    var promise = new Promise$1(function (resolve, reject) {\n        self.ready().then(function () {\n            createTransaction(self._dbInfo, READ_ONLY, function (err, transaction) {\n                if (err) {\n                    return reject(err);\n                }\n\n                try {\n                    var store = transaction.objectStore(self._dbInfo.storeName);\n                    var req = store.get(key);\n\n                    req.onsuccess = function () {\n                        var value = req.result;\n                        if (value === undefined) {\n                            value = null;\n                        }\n                        if (_isEncodedBlob(value)) {\n                            value = _decodeBlob(value);\n                        }\n                        resolve(value);\n                    };\n\n                    req.onerror = function () {\n                        reject(req.error);\n                    };\n                } catch (e) {\n                    reject(e);\n                }\n            });\n        })[\"catch\"](reject);\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\n// Iterate over all items stored in database.\nfunction iterate(iterator, callback) {\n    var self = this;\n\n    var promise = new Promise$1(function (resolve, reject) {\n        self.ready().then(function () {\n            createTransaction(self._dbInfo, READ_ONLY, function (err, transaction) {\n                if (err) {\n                    return reject(err);\n                }\n\n                try {\n                    var store = transaction.objectStore(self._dbInfo.storeName);\n                    var req = store.openCursor();\n                    var iterationNumber = 1;\n\n                    req.onsuccess = function () {\n                        var cursor = req.result;\n\n                        if (cursor) {\n                            var value = cursor.value;\n                            if (_isEncodedBlob(value)) {\n                                value = _decodeBlob(value);\n                            }\n                            var result = iterator(value, cursor.key, iterationNumber++);\n\n                            // when the iterator callback returns any\n                            // (non-`undefined`) value, then we stop\n                            // the iteration immediately\n                            if (result !== void 0) {\n                                resolve(result);\n                            } else {\n                                cursor[\"continue\"]();\n                            }\n                        } else {\n                            resolve();\n                        }\n                    };\n\n                    req.onerror = function () {\n                        reject(req.error);\n                    };\n                } catch (e) {\n                    reject(e);\n                }\n            });\n        })[\"catch\"](reject);\n    });\n\n    executeCallback(promise, callback);\n\n    return promise;\n}\n\nfunction setItem(key, value, callback) {\n    var self = this;\n\n    key = normalizeKey(key);\n\n    var promise = new Promise$1(function (resolve, reject) {\n        var dbInfo;\n        self.ready().then(function () {\n            dbInfo = self._dbInfo;\n            if (toString.call(value) === '[object Blob]') {\n                return _checkBlobSupport(dbInfo.db).then(function (blobSupport) {\n                    if (blobSupport) {\n                        return value;\n                    }\n                    return _encodeBlob(value);\n                });\n            }\n            return value;\n        }).then(function (value) {\n            createTransaction(self._dbInfo, READ_WRITE, function (err, transaction) {\n                if (err) {\n                    return reject(err);\n                }\n\n                try {\n                    var store = transaction.objectStore(self._dbInfo.storeName);\n\n                    // The reason we don't _save_ null is because IE 10 does\n                    // not support saving the `null` type in IndexedDB. How\n                    // ironic, given the bug below!\n                    // See: https://github.com/mozilla/localForage/issues/161\n                    if (value === null) {\n                        value = undefined;\n                    }\n\n                    var req = store.put(value, key);\n\n                    transaction.oncomplete = function () {\n                        // Cast to undefined so the value passed to\n                        // callback/promise is the same as what one would get out\n                        // of `getItem()` later. This leads to some weirdness\n                        // (setItem('foo', undefined) will return `null`), but\n                        // it's not my fault localStorage is our baseline and that\n                        // it's weird.\n                        if (value === undefined) {\n                            value = null;\n                        }\n\n                        resolve(value);\n                    };\n                    transaction.onabort = transaction.onerror = function () {\n                        var err = req.error ? req.error : req.transaction.error;\n                        reject(err);\n                    };\n                } catch (e) {\n                    reject(e);\n                }\n            });\n        })[\"catch\"](reject);\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\nfunction removeItem(key, callback) {\n    var self = this;\n\n    key = normalizeKey(key);\n\n    var promise = new Promise$1(function (resolve, reject) {\n        self.ready().then(function () {\n            createTransaction(self._dbInfo, READ_WRITE, function (err, transaction) {\n                if (err) {\n                    return reject(err);\n                }\n\n                try {\n                    var store = transaction.objectStore(self._dbInfo.storeName);\n                    // We use a Grunt task to make this safe for IE and some\n                    // versions of Android (including those used by Cordova).\n                    // Normally IE won't like `.delete()` and will insist on\n                    // using `['delete']()`, but we have a build step that\n                    // fixes this for us now.\n                    var req = store[\"delete\"](key);\n                    transaction.oncomplete = function () {\n                        resolve();\n                    };\n\n                    transaction.onerror = function () {\n                        reject(req.error);\n                    };\n\n                    // The request will be also be aborted if we've exceeded our storage\n                    // space.\n                    transaction.onabort = function () {\n                        var err = req.error ? req.error : req.transaction.error;\n                        reject(err);\n                    };\n                } catch (e) {\n                    reject(e);\n                }\n            });\n        })[\"catch\"](reject);\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\nfunction clear(callback) {\n    var self = this;\n\n    var promise = new Promise$1(function (resolve, reject) {\n        self.ready().then(function () {\n            createTransaction(self._dbInfo, READ_WRITE, function (err, transaction) {\n                if (err) {\n                    return reject(err);\n                }\n\n                try {\n                    var store = transaction.objectStore(self._dbInfo.storeName);\n                    var req = store.clear();\n\n                    transaction.oncomplete = function () {\n                        resolve();\n                    };\n\n                    transaction.onabort = transaction.onerror = function () {\n                        var err = req.error ? req.error : req.transaction.error;\n                        reject(err);\n                    };\n                } catch (e) {\n                    reject(e);\n                }\n            });\n        })[\"catch\"](reject);\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\nfunction length(callback) {\n    var self = this;\n\n    var promise = new Promise$1(function (resolve, reject) {\n        self.ready().then(function () {\n            createTransaction(self._dbInfo, READ_ONLY, function (err, transaction) {\n                if (err) {\n                    return reject(err);\n                }\n\n                try {\n                    var store = transaction.objectStore(self._dbInfo.storeName);\n                    var req = store.count();\n\n                    req.onsuccess = function () {\n                        resolve(req.result);\n                    };\n\n                    req.onerror = function () {\n                        reject(req.error);\n                    };\n                } catch (e) {\n                    reject(e);\n                }\n            });\n        })[\"catch\"](reject);\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\nfunction key(n, callback) {\n    var self = this;\n\n    var promise = new Promise$1(function (resolve, reject) {\n        if (n < 0) {\n            resolve(null);\n\n            return;\n        }\n\n        self.ready().then(function () {\n            createTransaction(self._dbInfo, READ_ONLY, function (err, transaction) {\n                if (err) {\n                    return reject(err);\n                }\n\n                try {\n                    var store = transaction.objectStore(self._dbInfo.storeName);\n                    var advanced = false;\n                    var req = store.openKeyCursor();\n\n                    req.onsuccess = function () {\n                        var cursor = req.result;\n                        if (!cursor) {\n                            // this means there weren't enough keys\n                            resolve(null);\n\n                            return;\n                        }\n\n                        if (n === 0) {\n                            // We have the first key, return it if that's what they\n                            // wanted.\n                            resolve(cursor.key);\n                        } else {\n                            if (!advanced) {\n                                // Otherwise, ask the cursor to skip ahead n\n                                // records.\n                                advanced = true;\n                                cursor.advance(n);\n                            } else {\n                                // When we get here, we've got the nth key.\n                                resolve(cursor.key);\n                            }\n                        }\n                    };\n\n                    req.onerror = function () {\n                        reject(req.error);\n                    };\n                } catch (e) {\n                    reject(e);\n                }\n            });\n        })[\"catch\"](reject);\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\nfunction keys(callback) {\n    var self = this;\n\n    var promise = new Promise$1(function (resolve, reject) {\n        self.ready().then(function () {\n            createTransaction(self._dbInfo, READ_ONLY, function (err, transaction) {\n                if (err) {\n                    return reject(err);\n                }\n\n                try {\n                    var store = transaction.objectStore(self._dbInfo.storeName);\n                    var req = store.openKeyCursor();\n                    var keys = [];\n\n                    req.onsuccess = function () {\n                        var cursor = req.result;\n\n                        if (!cursor) {\n                            resolve(keys);\n                            return;\n                        }\n\n                        keys.push(cursor.key);\n                        cursor[\"continue\"]();\n                    };\n\n                    req.onerror = function () {\n                        reject(req.error);\n                    };\n                } catch (e) {\n                    reject(e);\n                }\n            });\n        })[\"catch\"](reject);\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\nfunction dropInstance(options, callback) {\n    callback = getCallback.apply(this, arguments);\n\n    var currentConfig = this.config();\n    options = typeof options !== 'function' && options || {};\n    if (!options.name) {\n        options.name = options.name || currentConfig.name;\n        options.storeName = options.storeName || currentConfig.storeName;\n    }\n\n    var self = this;\n    var promise;\n    if (!options.name) {\n        promise = Promise$1.reject('Invalid arguments');\n    } else {\n        var isCurrentDb = options.name === currentConfig.name && self._dbInfo.db;\n\n        var dbPromise = isCurrentDb ? Promise$1.resolve(self._dbInfo.db) : _getOriginalConnection(options).then(function (db) {\n            var dbContext = dbContexts[options.name];\n            var forages = dbContext.forages;\n            dbContext.db = db;\n            for (var i = 0; i < forages.length; i++) {\n                forages[i]._dbInfo.db = db;\n            }\n            return db;\n        });\n\n        if (!options.storeName) {\n            promise = dbPromise.then(function (db) {\n                _deferReadiness(options);\n\n                var dbContext = dbContexts[options.name];\n                var forages = dbContext.forages;\n\n                db.close();\n                for (var i = 0; i < forages.length; i++) {\n                    var forage = forages[i];\n                    forage._dbInfo.db = null;\n                }\n\n                var dropDBPromise = new Promise$1(function (resolve, reject) {\n                    var req = idb.deleteDatabase(options.name);\n\n                    req.onerror = function () {\n                        var db = req.result;\n                        if (db) {\n                            db.close();\n                        }\n                        reject(req.error);\n                    };\n\n                    req.onblocked = function () {\n                        // Closing all open connections in onversionchange handler should prevent this situation, but if\n                        // we do get here, it just means the request remains pending - eventually it will succeed or error\n                        console.warn('dropInstance blocked for database \"' + options.name + '\" until all open connections are closed');\n                    };\n\n                    req.onsuccess = function () {\n                        var db = req.result;\n                        if (db) {\n                            db.close();\n                        }\n                        resolve(db);\n                    };\n                });\n\n                return dropDBPromise.then(function (db) {\n                    dbContext.db = db;\n                    for (var i = 0; i < forages.length; i++) {\n                        var _forage = forages[i];\n                        _advanceReadiness(_forage._dbInfo);\n                    }\n                })[\"catch\"](function (err) {\n                    (_rejectReadiness(options, err) || Promise$1.resolve())[\"catch\"](function () {});\n                    throw err;\n                });\n            });\n        } else {\n            promise = dbPromise.then(function (db) {\n                if (!db.objectStoreNames.contains(options.storeName)) {\n                    return;\n                }\n\n                var newVersion = db.version + 1;\n\n                _deferReadiness(options);\n\n                var dbContext = dbContexts[options.name];\n                var forages = dbContext.forages;\n\n                db.close();\n                for (var i = 0; i < forages.length; i++) {\n                    var forage = forages[i];\n                    forage._dbInfo.db = null;\n                    forage._dbInfo.version = newVersion;\n                }\n\n                var dropObjectPromise = new Promise$1(function (resolve, reject) {\n                    var req = idb.open(options.name, newVersion);\n\n                    req.onerror = function (err) {\n                        var db = req.result;\n                        db.close();\n                        reject(err);\n                    };\n\n                    req.onupgradeneeded = function () {\n                        var db = req.result;\n                        db.deleteObjectStore(options.storeName);\n                    };\n\n                    req.onsuccess = function () {\n                        var db = req.result;\n                        db.close();\n                        resolve(db);\n                    };\n                });\n\n                return dropObjectPromise.then(function (db) {\n                    dbContext.db = db;\n                    for (var j = 0; j < forages.length; j++) {\n                        var _forage2 = forages[j];\n                        _forage2._dbInfo.db = db;\n                        _advanceReadiness(_forage2._dbInfo);\n                    }\n                })[\"catch\"](function (err) {\n                    (_rejectReadiness(options, err) || Promise$1.resolve())[\"catch\"](function () {});\n                    throw err;\n                });\n            });\n        }\n    }\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\nvar asyncStorage = {\n    _driver: 'asyncStorage',\n    _initStorage: _initStorage,\n    _support: isIndexedDBValid(),\n    iterate: iterate,\n    getItem: getItem,\n    setItem: setItem,\n    removeItem: removeItem,\n    clear: clear,\n    length: length,\n    key: key,\n    keys: keys,\n    dropInstance: dropInstance\n};\n\nfunction isWebSQLValid() {\n    return typeof openDatabase === 'function';\n}\n\n// Sadly, the best way to save binary data in WebSQL/localStorage is serializing\n// it to Base64, so this is how we store it to prevent very strange errors with less\n// verbose ways of binary <-> string data storage.\nvar BASE_CHARS = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/';\n\nvar BLOB_TYPE_PREFIX = '~~local_forage_type~';\nvar BLOB_TYPE_PREFIX_REGEX = /^~~local_forage_type~([^~]+)~/;\n\nvar SERIALIZED_MARKER = '__lfsc__:';\nvar SERIALIZED_MARKER_LENGTH = SERIALIZED_MARKER.length;\n\n// OMG the serializations!\nvar TYPE_ARRAYBUFFER = 'arbf';\nvar TYPE_BLOB = 'blob';\nvar TYPE_INT8ARRAY = 'si08';\nvar TYPE_UINT8ARRAY = 'ui08';\nvar TYPE_UINT8CLAMPEDARRAY = 'uic8';\nvar TYPE_INT16ARRAY = 'si16';\nvar TYPE_INT32ARRAY = 'si32';\nvar TYPE_UINT16ARRAY = 'ur16';\nvar TYPE_UINT32ARRAY = 'ui32';\nvar TYPE_FLOAT32ARRAY = 'fl32';\nvar TYPE_FLOAT64ARRAY = 'fl64';\nvar TYPE_SERIALIZED_MARKER_LENGTH = SERIALIZED_MARKER_LENGTH + TYPE_ARRAYBUFFER.length;\n\nvar toString$1 = Object.prototype.toString;\n\nfunction stringToBuffer(serializedString) {\n    // Fill the string into a ArrayBuffer.\n    var bufferLength = serializedString.length * 0.75;\n    var len = serializedString.length;\n    var i;\n    var p = 0;\n    var encoded1, encoded2, encoded3, encoded4;\n\n    if (serializedString[serializedString.length - 1] === '=') {\n        bufferLength--;\n        if (serializedString[serializedString.length - 2] === '=') {\n            bufferLength--;\n        }\n    }\n\n    var buffer = new ArrayBuffer(bufferLength);\n    var bytes = new Uint8Array(buffer);\n\n    for (i = 0; i < len; i += 4) {\n        encoded1 = BASE_CHARS.indexOf(serializedString[i]);\n        encoded2 = BASE_CHARS.indexOf(serializedString[i + 1]);\n        encoded3 = BASE_CHARS.indexOf(serializedString[i + 2]);\n        encoded4 = BASE_CHARS.indexOf(serializedString[i + 3]);\n\n        /*jslint bitwise: true */\n        bytes[p++] = encoded1 << 2 | encoded2 >> 4;\n        bytes[p++] = (encoded2 & 15) << 4 | encoded3 >> 2;\n        bytes[p++] = (encoded3 & 3) << 6 | encoded4 & 63;\n    }\n    return buffer;\n}\n\n// Converts a buffer to a string to store, serialized, in the backend\n// storage library.\nfunction bufferToString(buffer) {\n    // base64-arraybuffer\n    var bytes = new Uint8Array(buffer);\n    var base64String = '';\n    var i;\n\n    for (i = 0; i < bytes.length; i += 3) {\n        /*jslint bitwise: true */\n        base64String += BASE_CHARS[bytes[i] >> 2];\n        base64String += BASE_CHARS[(bytes[i] & 3) << 4 | bytes[i + 1] >> 4];\n        base64String += BASE_CHARS[(bytes[i + 1] & 15) << 2 | bytes[i + 2] >> 6];\n        base64String += BASE_CHARS[bytes[i + 2] & 63];\n    }\n\n    if (bytes.length % 3 === 2) {\n        base64String = base64String.substring(0, base64String.length - 1) + '=';\n    } else if (bytes.length % 3 === 1) {\n        base64String = base64String.substring(0, base64String.length - 2) + '==';\n    }\n\n    return base64String;\n}\n\n// Serialize a value, afterwards executing a callback (which usually\n// instructs the `setItem()` callback/promise to be executed). This is how\n// we store binary data with localStorage.\nfunction serialize(value, callback) {\n    var valueType = '';\n    if (value) {\n        valueType = toString$1.call(value);\n    }\n\n    // Cannot use `value instanceof ArrayBuffer` or such here, as these\n    // checks fail when running the tests using casper.js...\n    //\n    // TODO: See why those tests fail and use a better solution.\n    if (value && (valueType === '[object ArrayBuffer]' || value.buffer && toString$1.call(value.buffer) === '[object ArrayBuffer]')) {\n        // Convert binary arrays to a string and prefix the string with\n        // a special marker.\n        var buffer;\n        var marker = SERIALIZED_MARKER;\n\n        if (value instanceof ArrayBuffer) {\n            buffer = value;\n            marker += TYPE_ARRAYBUFFER;\n        } else {\n            buffer = value.buffer;\n\n            if (valueType === '[object Int8Array]') {\n                marker += TYPE_INT8ARRAY;\n            } else if (valueType === '[object Uint8Array]') {\n                marker += TYPE_UINT8ARRAY;\n            } else if (valueType === '[object Uint8ClampedArray]') {\n                marker += TYPE_UINT8CLAMPEDARRAY;\n            } else if (valueType === '[object Int16Array]') {\n                marker += TYPE_INT16ARRAY;\n            } else if (valueType === '[object Uint16Array]') {\n                marker += TYPE_UINT16ARRAY;\n            } else if (valueType === '[object Int32Array]') {\n                marker += TYPE_INT32ARRAY;\n            } else if (valueType === '[object Uint32Array]') {\n                marker += TYPE_UINT32ARRAY;\n            } else if (valueType === '[object Float32Array]') {\n                marker += TYPE_FLOAT32ARRAY;\n            } else if (valueType === '[object Float64Array]') {\n                marker += TYPE_FLOAT64ARRAY;\n            } else {\n                callback(new Error('Failed to get type for BinaryArray'));\n            }\n        }\n\n        callback(marker + bufferToString(buffer));\n    } else if (valueType === '[object Blob]') {\n        // Conver the blob to a binaryArray and then to a string.\n        var fileReader = new FileReader();\n\n        fileReader.onload = function () {\n            // Backwards-compatible prefix for the blob type.\n            var str = BLOB_TYPE_PREFIX + value.type + '~' + bufferToString(this.result);\n\n            callback(SERIALIZED_MARKER + TYPE_BLOB + str);\n        };\n\n        fileReader.readAsArrayBuffer(value);\n    } else {\n        try {\n            callback(JSON.stringify(value));\n        } catch (e) {\n            console.error(\"Couldn't convert value into a JSON string: \", value);\n\n            callback(null, e);\n        }\n    }\n}\n\n// Deserialize data we've inserted into a value column/field. We place\n// special markers into our strings to mark them as encoded; this isn't\n// as nice as a meta field, but it's the only sane thing we can do whilst\n// keeping localStorage support intact.\n//\n// Oftentimes this will just deserialize JSON content, but if we have a\n// special marker (SERIALIZED_MARKER, defined above), we will extract\n// some kind of arraybuffer/binary data/typed array out of the string.\nfunction deserialize(value) {\n    // If we haven't marked this string as being specially serialized (i.e.\n    // something other than serialized JSON), we can just return it and be\n    // done with it.\n    if (value.substring(0, SERIALIZED_MARKER_LENGTH) !== SERIALIZED_MARKER) {\n        return JSON.parse(value);\n    }\n\n    // The following code deals with deserializing some kind of Blob or\n    // TypedArray. First we separate out the type of data we're dealing\n    // with from the data itself.\n    var serializedString = value.substring(TYPE_SERIALIZED_MARKER_LENGTH);\n    var type = value.substring(SERIALIZED_MARKER_LENGTH, TYPE_SERIALIZED_MARKER_LENGTH);\n\n    var blobType;\n    // Backwards-compatible blob type serialization strategy.\n    // DBs created with older versions of localForage will simply not have the blob type.\n    if (type === TYPE_BLOB && BLOB_TYPE_PREFIX_REGEX.test(serializedString)) {\n        var matcher = serializedString.match(BLOB_TYPE_PREFIX_REGEX);\n        blobType = matcher[1];\n        serializedString = serializedString.substring(matcher[0].length);\n    }\n    var buffer = stringToBuffer(serializedString);\n\n    // Return the right type based on the code/type set during\n    // serialization.\n    switch (type) {\n        case TYPE_ARRAYBUFFER:\n            return buffer;\n        case TYPE_BLOB:\n            return createBlob([buffer], { type: blobType });\n        case TYPE_INT8ARRAY:\n            return new Int8Array(buffer);\n        case TYPE_UINT8ARRAY:\n            return new Uint8Array(buffer);\n        case TYPE_UINT8CLAMPEDARRAY:\n            return new Uint8ClampedArray(buffer);\n        case TYPE_INT16ARRAY:\n            return new Int16Array(buffer);\n        case TYPE_UINT16ARRAY:\n            return new Uint16Array(buffer);\n        case TYPE_INT32ARRAY:\n            return new Int32Array(buffer);\n        case TYPE_UINT32ARRAY:\n            return new Uint32Array(buffer);\n        case TYPE_FLOAT32ARRAY:\n            return new Float32Array(buffer);\n        case TYPE_FLOAT64ARRAY:\n            return new Float64Array(buffer);\n        default:\n            throw new Error('Unkown type: ' + type);\n    }\n}\n\nvar localforageSerializer = {\n    serialize: serialize,\n    deserialize: deserialize,\n    stringToBuffer: stringToBuffer,\n    bufferToString: bufferToString\n};\n\n/*\n * Includes code from:\n *\n * base64-arraybuffer\n * https://github.com/niklasvh/base64-arraybuffer\n *\n * Copyright (c) 2012 Niklas von Hertzen\n * Licensed under the MIT license.\n */\n\nfunction createDbTable(t, dbInfo, callback, errorCallback) {\n    t.executeSql('CREATE TABLE IF NOT EXISTS ' + dbInfo.storeName + ' ' + '(id INTEGER PRIMARY KEY, key unique, value)', [], callback, errorCallback);\n}\n\n// Open the WebSQL database (automatically creates one if one didn't\n// previously exist), using any options set in the config.\nfunction _initStorage$1(options) {\n    var self = this;\n    var dbInfo = {\n        db: null\n    };\n\n    if (options) {\n        for (var i in options) {\n            dbInfo[i] = typeof options[i] !== 'string' ? options[i].toString() : options[i];\n        }\n    }\n\n    var dbInfoPromise = new Promise$1(function (resolve, reject) {\n        // Open the database; the openDatabase API will automatically\n        // create it for us if it doesn't exist.\n        try {\n            dbInfo.db = openDatabase(dbInfo.name, String(dbInfo.version), dbInfo.description, dbInfo.size);\n        } catch (e) {\n            return reject(e);\n        }\n\n        // Create our key/value table if it doesn't exist.\n        dbInfo.db.transaction(function (t) {\n            createDbTable(t, dbInfo, function () {\n                self._dbInfo = dbInfo;\n                resolve();\n            }, function (t, error) {\n                reject(error);\n            });\n        }, reject);\n    });\n\n    dbInfo.serializer = localforageSerializer;\n    return dbInfoPromise;\n}\n\nfunction tryExecuteSql(t, dbInfo, sqlStatement, args, callback, errorCallback) {\n    t.executeSql(sqlStatement, args, callback, function (t, error) {\n        if (error.code === error.SYNTAX_ERR) {\n            t.executeSql('SELECT name FROM sqlite_master ' + \"WHERE type='table' AND name = ?\", [dbInfo.storeName], function (t, results) {\n                if (!results.rows.length) {\n                    // if the table is missing (was deleted)\n                    // re-create it table and retry\n                    createDbTable(t, dbInfo, function () {\n                        t.executeSql(sqlStatement, args, callback, errorCallback);\n                    }, errorCallback);\n                } else {\n                    errorCallback(t, error);\n                }\n            }, errorCallback);\n        } else {\n            errorCallback(t, error);\n        }\n    }, errorCallback);\n}\n\nfunction getItem$1(key, callback) {\n    var self = this;\n\n    key = normalizeKey(key);\n\n    var promise = new Promise$1(function (resolve, reject) {\n        self.ready().then(function () {\n            var dbInfo = self._dbInfo;\n            dbInfo.db.transaction(function (t) {\n                tryExecuteSql(t, dbInfo, 'SELECT * FROM ' + dbInfo.storeName + ' WHERE key = ? LIMIT 1', [key], function (t, results) {\n                    var result = results.rows.length ? results.rows.item(0).value : null;\n\n                    // Check to see if this is serialized content we need to\n                    // unpack.\n                    if (result) {\n                        result = dbInfo.serializer.deserialize(result);\n                    }\n\n                    resolve(result);\n                }, function (t, error) {\n                    reject(error);\n                });\n            });\n        })[\"catch\"](reject);\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\nfunction iterate$1(iterator, callback) {\n    var self = this;\n\n    var promise = new Promise$1(function (resolve, reject) {\n        self.ready().then(function () {\n            var dbInfo = self._dbInfo;\n\n            dbInfo.db.transaction(function (t) {\n                tryExecuteSql(t, dbInfo, 'SELECT * FROM ' + dbInfo.storeName, [], function (t, results) {\n                    var rows = results.rows;\n                    var length = rows.length;\n\n                    for (var i = 0; i < length; i++) {\n                        var item = rows.item(i);\n                        var result = item.value;\n\n                        // Check to see if this is serialized content\n                        // we need to unpack.\n                        if (result) {\n                            result = dbInfo.serializer.deserialize(result);\n                        }\n\n                        result = iterator(result, item.key, i + 1);\n\n                        // void(0) prevents problems with redefinition\n                        // of `undefined`.\n                        if (result !== void 0) {\n                            resolve(result);\n                            return;\n                        }\n                    }\n\n                    resolve();\n                }, function (t, error) {\n                    reject(error);\n                });\n            });\n        })[\"catch\"](reject);\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\nfunction _setItem(key, value, callback, retriesLeft) {\n    var self = this;\n\n    key = normalizeKey(key);\n\n    var promise = new Promise$1(function (resolve, reject) {\n        self.ready().then(function () {\n            // The localStorage API doesn't return undefined values in an\n            // \"expected\" way, so undefined is always cast to null in all\n            // drivers. See: https://github.com/mozilla/localForage/pull/42\n            if (value === undefined) {\n                value = null;\n            }\n\n            // Save the original value to pass to the callback.\n            var originalValue = value;\n\n            var dbInfo = self._dbInfo;\n            dbInfo.serializer.serialize(value, function (value, error) {\n                if (error) {\n                    reject(error);\n                } else {\n                    dbInfo.db.transaction(function (t) {\n                        tryExecuteSql(t, dbInfo, 'INSERT OR REPLACE INTO ' + dbInfo.storeName + ' ' + '(key, value) VALUES (?, ?)', [key, value], function () {\n                            resolve(originalValue);\n                        }, function (t, error) {\n                            reject(error);\n                        });\n                    }, function (sqlError) {\n                        // The transaction failed; check\n                        // to see if it's a quota error.\n                        if (sqlError.code === sqlError.QUOTA_ERR) {\n                            // We reject the callback outright for now, but\n                            // it's worth trying to re-run the transaction.\n                            // Even if the user accepts the prompt to use\n                            // more storage on Safari, this error will\n                            // be called.\n                            //\n                            // Try to re-run the transaction.\n                            if (retriesLeft > 0) {\n                                resolve(_setItem.apply(self, [key, originalValue, callback, retriesLeft - 1]));\n                                return;\n                            }\n                            reject(sqlError);\n                        }\n                    });\n                }\n            });\n        })[\"catch\"](reject);\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\nfunction setItem$1(key, value, callback) {\n    return _setItem.apply(this, [key, value, callback, 1]);\n}\n\nfunction removeItem$1(key, callback) {\n    var self = this;\n\n    key = normalizeKey(key);\n\n    var promise = new Promise$1(function (resolve, reject) {\n        self.ready().then(function () {\n            var dbInfo = self._dbInfo;\n            dbInfo.db.transaction(function (t) {\n                tryExecuteSql(t, dbInfo, 'DELETE FROM ' + dbInfo.storeName + ' WHERE key = ?', [key], function () {\n                    resolve();\n                }, function (t, error) {\n                    reject(error);\n                });\n            });\n        })[\"catch\"](reject);\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\n// Deletes every item in the table.\n// TODO: Find out if this resets the AUTO_INCREMENT number.\nfunction clear$1(callback) {\n    var self = this;\n\n    var promise = new Promise$1(function (resolve, reject) {\n        self.ready().then(function () {\n            var dbInfo = self._dbInfo;\n            dbInfo.db.transaction(function (t) {\n                tryExecuteSql(t, dbInfo, 'DELETE FROM ' + dbInfo.storeName, [], function () {\n                    resolve();\n                }, function (t, error) {\n                    reject(error);\n                });\n            });\n        })[\"catch\"](reject);\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\n// Does a simple `COUNT(key)` to get the number of items stored in\n// localForage.\nfunction length$1(callback) {\n    var self = this;\n\n    var promise = new Promise$1(function (resolve, reject) {\n        self.ready().then(function () {\n            var dbInfo = self._dbInfo;\n            dbInfo.db.transaction(function (t) {\n                // Ahhh, SQL makes this one soooooo easy.\n                tryExecuteSql(t, dbInfo, 'SELECT COUNT(key) as c FROM ' + dbInfo.storeName, [], function (t, results) {\n                    var result = results.rows.item(0).c;\n                    resolve(result);\n                }, function (t, error) {\n                    reject(error);\n                });\n            });\n        })[\"catch\"](reject);\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\n// Return the key located at key index X; essentially gets the key from a\n// `WHERE id = ?`. This is the most efficient way I can think to implement\n// this rarely-used (in my experience) part of the API, but it can seem\n// inconsistent, because we do `INSERT OR REPLACE INTO` on `setItem()`, so\n// the ID of each key will change every time it's updated. Perhaps a stored\n// procedure for the `setItem()` SQL would solve this problem?\n// TODO: Don't change ID on `setItem()`.\nfunction key$1(n, callback) {\n    var self = this;\n\n    var promise = new Promise$1(function (resolve, reject) {\n        self.ready().then(function () {\n            var dbInfo = self._dbInfo;\n            dbInfo.db.transaction(function (t) {\n                tryExecuteSql(t, dbInfo, 'SELECT key FROM ' + dbInfo.storeName + ' WHERE id = ? LIMIT 1', [n + 1], function (t, results) {\n                    var result = results.rows.length ? results.rows.item(0).key : null;\n                    resolve(result);\n                }, function (t, error) {\n                    reject(error);\n                });\n            });\n        })[\"catch\"](reject);\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\nfunction keys$1(callback) {\n    var self = this;\n\n    var promise = new Promise$1(function (resolve, reject) {\n        self.ready().then(function () {\n            var dbInfo = self._dbInfo;\n            dbInfo.db.transaction(function (t) {\n                tryExecuteSql(t, dbInfo, 'SELECT key FROM ' + dbInfo.storeName, [], function (t, results) {\n                    var keys = [];\n\n                    for (var i = 0; i < results.rows.length; i++) {\n                        keys.push(results.rows.item(i).key);\n                    }\n\n                    resolve(keys);\n                }, function (t, error) {\n                    reject(error);\n                });\n            });\n        })[\"catch\"](reject);\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\n// https://www.w3.org/TR/webdatabase/#databases\n// > There is no way to enumerate or delete the databases available for an origin from this API.\nfunction getAllStoreNames(db) {\n    return new Promise$1(function (resolve, reject) {\n        db.transaction(function (t) {\n            t.executeSql('SELECT name FROM sqlite_master ' + \"WHERE type='table' AND name <> '__WebKitDatabaseInfoTable__'\", [], function (t, results) {\n                var storeNames = [];\n\n                for (var i = 0; i < results.rows.length; i++) {\n                    storeNames.push(results.rows.item(i).name);\n                }\n\n                resolve({\n                    db: db,\n                    storeNames: storeNames\n                });\n            }, function (t, error) {\n                reject(error);\n            });\n        }, function (sqlError) {\n            reject(sqlError);\n        });\n    });\n}\n\nfunction dropInstance$1(options, callback) {\n    callback = getCallback.apply(this, arguments);\n\n    var currentConfig = this.config();\n    options = typeof options !== 'function' && options || {};\n    if (!options.name) {\n        options.name = options.name || currentConfig.name;\n        options.storeName = options.storeName || currentConfig.storeName;\n    }\n\n    var self = this;\n    var promise;\n    if (!options.name) {\n        promise = Promise$1.reject('Invalid arguments');\n    } else {\n        promise = new Promise$1(function (resolve) {\n            var db;\n            if (options.name === currentConfig.name) {\n                // use the db reference of the current instance\n                db = self._dbInfo.db;\n            } else {\n                db = openDatabase(options.name, '', '', 0);\n            }\n\n            if (!options.storeName) {\n                // drop all database tables\n                resolve(getAllStoreNames(db));\n            } else {\n                resolve({\n                    db: db,\n                    storeNames: [options.storeName]\n                });\n            }\n        }).then(function (operationInfo) {\n            return new Promise$1(function (resolve, reject) {\n                operationInfo.db.transaction(function (t) {\n                    function dropTable(storeName) {\n                        return new Promise$1(function (resolve, reject) {\n                            t.executeSql('DROP TABLE IF EXISTS ' + storeName, [], function () {\n                                resolve();\n                            }, function (t, error) {\n                                reject(error);\n                            });\n                        });\n                    }\n\n                    var operations = [];\n                    for (var i = 0, len = operationInfo.storeNames.length; i < len; i++) {\n                        operations.push(dropTable(operationInfo.storeNames[i]));\n                    }\n\n                    Promise$1.all(operations).then(function () {\n                        resolve();\n                    })[\"catch\"](function (e) {\n                        reject(e);\n                    });\n                }, function (sqlError) {\n                    reject(sqlError);\n                });\n            });\n        });\n    }\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\nvar webSQLStorage = {\n    _driver: 'webSQLStorage',\n    _initStorage: _initStorage$1,\n    _support: isWebSQLValid(),\n    iterate: iterate$1,\n    getItem: getItem$1,\n    setItem: setItem$1,\n    removeItem: removeItem$1,\n    clear: clear$1,\n    length: length$1,\n    key: key$1,\n    keys: keys$1,\n    dropInstance: dropInstance$1\n};\n\nfunction isLocalStorageValid() {\n    try {\n        return typeof localStorage !== 'undefined' && 'setItem' in localStorage &&\n        // in IE8 typeof localStorage.setItem === 'object'\n        !!localStorage.setItem;\n    } catch (e) {\n        return false;\n    }\n}\n\nfunction _getKeyPrefix(options, defaultConfig) {\n    var keyPrefix = options.name + '/';\n\n    if (options.storeName !== defaultConfig.storeName) {\n        keyPrefix += options.storeName + '/';\n    }\n    return keyPrefix;\n}\n\n// Check if localStorage throws when saving an item\nfunction checkIfLocalStorageThrows() {\n    var localStorageTestKey = '_localforage_support_test';\n\n    try {\n        localStorage.setItem(localStorageTestKey, true);\n        localStorage.removeItem(localStorageTestKey);\n\n        return false;\n    } catch (e) {\n        return true;\n    }\n}\n\n// Check if localStorage is usable and allows to save an item\n// This method checks if localStorage is usable in Safari Private Browsing\n// mode, or in any other case where the available quota for localStorage\n// is 0 and there wasn't any saved items yet.\nfunction _isLocalStorageUsable() {\n    return !checkIfLocalStorageThrows() || localStorage.length > 0;\n}\n\n// Config the localStorage backend, using options set in the config.\nfunction _initStorage$2(options) {\n    var self = this;\n    var dbInfo = {};\n    if (options) {\n        for (var i in options) {\n            dbInfo[i] = options[i];\n        }\n    }\n\n    dbInfo.keyPrefix = _getKeyPrefix(options, self._defaultConfig);\n\n    if (!_isLocalStorageUsable()) {\n        return Promise$1.reject();\n    }\n\n    self._dbInfo = dbInfo;\n    dbInfo.serializer = localforageSerializer;\n\n    return Promise$1.resolve();\n}\n\n// Remove all keys from the datastore, effectively destroying all data in\n// the app's key/value store!\nfunction clear$2(callback) {\n    var self = this;\n    var promise = self.ready().then(function () {\n        var keyPrefix = self._dbInfo.keyPrefix;\n\n        for (var i = localStorage.length - 1; i >= 0; i--) {\n            var key = localStorage.key(i);\n\n            if (key.indexOf(keyPrefix) === 0) {\n                localStorage.removeItem(key);\n            }\n        }\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\n// Retrieve an item from the store. Unlike the original async_storage\n// library in Gaia, we don't modify return values at all. If a key's value\n// is `undefined`, we pass that value to the callback function.\nfunction getItem$2(key, callback) {\n    var self = this;\n\n    key = normalizeKey(key);\n\n    var promise = self.ready().then(function () {\n        var dbInfo = self._dbInfo;\n        var result = localStorage.getItem(dbInfo.keyPrefix + key);\n\n        // If a result was found, parse it from the serialized\n        // string into a JS object. If result isn't truthy, the key\n        // is likely undefined and we'll pass it straight to the\n        // callback.\n        if (result) {\n            result = dbInfo.serializer.deserialize(result);\n        }\n\n        return result;\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\n// Iterate over all items in the store.\nfunction iterate$2(iterator, callback) {\n    var self = this;\n\n    var promise = self.ready().then(function () {\n        var dbInfo = self._dbInfo;\n        var keyPrefix = dbInfo.keyPrefix;\n        var keyPrefixLength = keyPrefix.length;\n        var length = localStorage.length;\n\n        // We use a dedicated iterator instead of the `i` variable below\n        // so other keys we fetch in localStorage aren't counted in\n        // the `iterationNumber` argument passed to the `iterate()`\n        // callback.\n        //\n        // See: github.com/mozilla/localForage/pull/435#discussion_r38061530\n        var iterationNumber = 1;\n\n        for (var i = 0; i < length; i++) {\n            var key = localStorage.key(i);\n            if (key.indexOf(keyPrefix) !== 0) {\n                continue;\n            }\n            var value = localStorage.getItem(key);\n\n            // If a result was found, parse it from the serialized\n            // string into a JS object. If result isn't truthy, the\n            // key is likely undefined and we'll pass it straight\n            // to the iterator.\n            if (value) {\n                value = dbInfo.serializer.deserialize(value);\n            }\n\n            value = iterator(value, key.substring(keyPrefixLength), iterationNumber++);\n\n            if (value !== void 0) {\n                return value;\n            }\n        }\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\n// Same as localStorage's key() method, except takes a callback.\nfunction key$2(n, callback) {\n    var self = this;\n    var promise = self.ready().then(function () {\n        var dbInfo = self._dbInfo;\n        var result;\n        try {\n            result = localStorage.key(n);\n        } catch (error) {\n            result = null;\n        }\n\n        // Remove the prefix from the key, if a key is found.\n        if (result) {\n            result = result.substring(dbInfo.keyPrefix.length);\n        }\n\n        return result;\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\nfunction keys$2(callback) {\n    var self = this;\n    var promise = self.ready().then(function () {\n        var dbInfo = self._dbInfo;\n        var length = localStorage.length;\n        var keys = [];\n\n        for (var i = 0; i < length; i++) {\n            var itemKey = localStorage.key(i);\n            if (itemKey.indexOf(dbInfo.keyPrefix) === 0) {\n                keys.push(itemKey.substring(dbInfo.keyPrefix.length));\n            }\n        }\n\n        return keys;\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\n// Supply the number of keys in the datastore to the callback function.\nfunction length$2(callback) {\n    var self = this;\n    var promise = self.keys().then(function (keys) {\n        return keys.length;\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\n// Remove an item from the store, nice and simple.\nfunction removeItem$2(key, callback) {\n    var self = this;\n\n    key = normalizeKey(key);\n\n    var promise = self.ready().then(function () {\n        var dbInfo = self._dbInfo;\n        localStorage.removeItem(dbInfo.keyPrefix + key);\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\n// Set a key's value and run an optional callback once the value is set.\n// Unlike Gaia's implementation, the callback function is passed the value,\n// in case you want to operate on that value only after you're sure it\n// saved, or something like that.\nfunction setItem$2(key, value, callback) {\n    var self = this;\n\n    key = normalizeKey(key);\n\n    var promise = self.ready().then(function () {\n        // Convert undefined values to null.\n        // https://github.com/mozilla/localForage/pull/42\n        if (value === undefined) {\n            value = null;\n        }\n\n        // Save the original value to pass to the callback.\n        var originalValue = value;\n\n        return new Promise$1(function (resolve, reject) {\n            var dbInfo = self._dbInfo;\n            dbInfo.serializer.serialize(value, function (value, error) {\n                if (error) {\n                    reject(error);\n                } else {\n                    try {\n                        localStorage.setItem(dbInfo.keyPrefix + key, value);\n                        resolve(originalValue);\n                    } catch (e) {\n                        // localStorage capacity exceeded.\n                        // TODO: Make this a specific error/event.\n                        if (e.name === 'QuotaExceededError' || e.name === 'NS_ERROR_DOM_QUOTA_REACHED') {\n                            reject(e);\n                        }\n                        reject(e);\n                    }\n                }\n            });\n        });\n    });\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\nfunction dropInstance$2(options, callback) {\n    callback = getCallback.apply(this, arguments);\n\n    options = typeof options !== 'function' && options || {};\n    if (!options.name) {\n        var currentConfig = this.config();\n        options.name = options.name || currentConfig.name;\n        options.storeName = options.storeName || currentConfig.storeName;\n    }\n\n    var self = this;\n    var promise;\n    if (!options.name) {\n        promise = Promise$1.reject('Invalid arguments');\n    } else {\n        promise = new Promise$1(function (resolve) {\n            if (!options.storeName) {\n                resolve(options.name + '/');\n            } else {\n                resolve(_getKeyPrefix(options, self._defaultConfig));\n            }\n        }).then(function (keyPrefix) {\n            for (var i = localStorage.length - 1; i >= 0; i--) {\n                var key = localStorage.key(i);\n\n                if (key.indexOf(keyPrefix) === 0) {\n                    localStorage.removeItem(key);\n                }\n            }\n        });\n    }\n\n    executeCallback(promise, callback);\n    return promise;\n}\n\nvar localStorageWrapper = {\n    _driver: 'localStorageWrapper',\n    _initStorage: _initStorage$2,\n    _support: isLocalStorageValid(),\n    iterate: iterate$2,\n    getItem: getItem$2,\n    setItem: setItem$2,\n    removeItem: removeItem$2,\n    clear: clear$2,\n    length: length$2,\n    key: key$2,\n    keys: keys$2,\n    dropInstance: dropInstance$2\n};\n\nvar sameValue = function sameValue(x, y) {\n    return x === y || typeof x === 'number' && typeof y === 'number' && isNaN(x) && isNaN(y);\n};\n\nvar includes = function includes(array, searchElement) {\n    var len = array.length;\n    var i = 0;\n    while (i < len) {\n        if (sameValue(array[i], searchElement)) {\n            return true;\n        }\n        i++;\n    }\n\n    return false;\n};\n\nvar isArray = Array.isArray || function (arg) {\n    return Object.prototype.toString.call(arg) === '[object Array]';\n};\n\n// Drivers are stored here when `defineDriver()` is called.\n// They are shared across all instances of localForage.\nvar DefinedDrivers = {};\n\nvar DriverSupport = {};\n\nvar DefaultDrivers = {\n    INDEXEDDB: asyncStorage,\n    WEBSQL: webSQLStorage,\n    LOCALSTORAGE: localStorageWrapper\n};\n\nvar DefaultDriverOrder = [DefaultDrivers.INDEXEDDB._driver, DefaultDrivers.WEBSQL._driver, DefaultDrivers.LOCALSTORAGE._driver];\n\nvar OptionalDriverMethods = ['dropInstance'];\n\nvar LibraryMethods = ['clear', 'getItem', 'iterate', 'key', 'keys', 'length', 'removeItem', 'setItem'].concat(OptionalDriverMethods);\n\nvar DefaultConfig = {\n    description: '',\n    driver: DefaultDriverOrder.slice(),\n    name: 'localforage',\n    // Default DB size is _JUST UNDER_ 5MB, as it's the highest size\n    // we can use without a prompt.\n    size: 4980736,\n    storeName: 'keyvaluepairs',\n    version: 1.0\n};\n\nfunction callWhenReady(localForageInstance, libraryMethod) {\n    localForageInstance[libraryMethod] = function () {\n        var _args = arguments;\n        return localForageInstance.ready().then(function () {\n            return localForageInstance[libraryMethod].apply(localForageInstance, _args);\n        });\n    };\n}\n\nfunction extend() {\n    for (var i = 1; i < arguments.length; i++) {\n        var arg = arguments[i];\n\n        if (arg) {\n            for (var _key in arg) {\n                if (arg.hasOwnProperty(_key)) {\n                    if (isArray(arg[_key])) {\n                        arguments[0][_key] = arg[_key].slice();\n                    } else {\n                        arguments[0][_key] = arg[_key];\n                    }\n                }\n            }\n        }\n    }\n\n    return arguments[0];\n}\n\nvar LocalForage = function () {\n    function LocalForage(options) {\n        _classCallCheck(this, LocalForage);\n\n        for (var driverTypeKey in DefaultDrivers) {\n            if (DefaultDrivers.hasOwnProperty(driverTypeKey)) {\n                var driver = DefaultDrivers[driverTypeKey];\n                var driverName = driver._driver;\n                this[driverTypeKey] = driverName;\n\n                if (!DefinedDrivers[driverName]) {\n                    // we don't need to wait for the promise,\n                    // since the default drivers can be defined\n                    // in a blocking manner\n                    this.defineDriver(driver);\n                }\n            }\n        }\n\n        this._defaultConfig = extend({}, DefaultConfig);\n        this._config = extend({}, this._defaultConfig, options);\n        this._driverSet = null;\n        this._initDriver = null;\n        this._ready = false;\n        this._dbInfo = null;\n\n        this._wrapLibraryMethodsWithReady();\n        this.setDriver(this._config.driver)[\"catch\"](function () {});\n    }\n\n    // Set any config values for localForage; can be called anytime before\n    // the first API call (e.g. `getItem`, `setItem`).\n    // We loop through options so we don't overwrite existing config\n    // values.\n\n\n    LocalForage.prototype.config = function config(options) {\n        // If the options argument is an object, we use it to set values.\n        // Otherwise, we return either a specified config value or all\n        // config values.\n        if ((typeof options === 'undefined' ? 'undefined' : _typeof(options)) === 'object') {\n            // If localforage is ready and fully initialized, we can't set\n            // any new configuration values. Instead, we return an error.\n            if (this._ready) {\n                return new Error(\"Can't call config() after localforage \" + 'has been used.');\n            }\n\n            for (var i in options) {\n                if (i === 'storeName') {\n                    options[i] = options[i].replace(/\\W/g, '_');\n                }\n\n                if (i === 'version' && typeof options[i] !== 'number') {\n                    return new Error('Database version must be a number.');\n                }\n\n                this._config[i] = options[i];\n            }\n\n            // after all config options are set and\n            // the driver option is used, try setting it\n            if ('driver' in options && options.driver) {\n                return this.setDriver(this._config.driver);\n            }\n\n            return true;\n        } else if (typeof options === 'string') {\n            return this._config[options];\n        } else {\n            return this._config;\n        }\n    };\n\n    // Used to define a custom driver, shared across all instances of\n    // localForage.\n\n\n    LocalForage.prototype.defineDriver = function defineDriver(driverObject, callback, errorCallback) {\n        var promise = new Promise$1(function (resolve, reject) {\n            try {\n                var driverName = driverObject._driver;\n                var complianceError = new Error('Custom driver not compliant; see ' + 'https://mozilla.github.io/localForage/#definedriver');\n\n                // A driver name should be defined and not overlap with the\n                // library-defined, default drivers.\n                if (!driverObject._driver) {\n                    reject(complianceError);\n                    return;\n                }\n\n                var driverMethods = LibraryMethods.concat('_initStorage');\n                for (var i = 0, len = driverMethods.length; i < len; i++) {\n                    var driverMethodName = driverMethods[i];\n\n                    // when the property is there,\n                    // it should be a method even when optional\n                    var isRequired = !includes(OptionalDriverMethods, driverMethodName);\n                    if ((isRequired || driverObject[driverMethodName]) && typeof driverObject[driverMethodName] !== 'function') {\n                        reject(complianceError);\n                        return;\n                    }\n                }\n\n                var configureMissingMethods = function configureMissingMethods() {\n                    var methodNotImplementedFactory = function methodNotImplementedFactory(methodName) {\n                        return function () {\n                            var error = new Error('Method ' + methodName + ' is not implemented by the current driver');\n                            var promise = Promise$1.reject(error);\n                            executeCallback(promise, arguments[arguments.length - 1]);\n                            return promise;\n                        };\n                    };\n\n                    for (var _i = 0, _len = OptionalDriverMethods.length; _i < _len; _i++) {\n                        var optionalDriverMethod = OptionalDriverMethods[_i];\n                        if (!driverObject[optionalDriverMethod]) {\n                            driverObject[optionalDriverMethod] = methodNotImplementedFactory(optionalDriverMethod);\n                        }\n                    }\n                };\n\n                configureMissingMethods();\n\n                var setDriverSupport = function setDriverSupport(support) {\n                    if (DefinedDrivers[driverName]) {\n                        console.info('Redefining LocalForage driver: ' + driverName);\n                    }\n                    DefinedDrivers[driverName] = driverObject;\n                    DriverSupport[driverName] = support;\n                    // don't use a then, so that we can define\n                    // drivers that have simple _support methods\n                    // in a blocking manner\n                    resolve();\n                };\n\n                if ('_support' in driverObject) {\n                    if (driverObject._support && typeof driverObject._support === 'function') {\n                        driverObject._support().then(setDriverSupport, reject);\n                    } else {\n                        setDriverSupport(!!driverObject._support);\n                    }\n                } else {\n                    setDriverSupport(true);\n                }\n            } catch (e) {\n                reject(e);\n            }\n        });\n\n        executeTwoCallbacks(promise, callback, errorCallback);\n        return promise;\n    };\n\n    LocalForage.prototype.driver = function driver() {\n        return this._driver || null;\n    };\n\n    LocalForage.prototype.getDriver = function getDriver(driverName, callback, errorCallback) {\n        var getDriverPromise = DefinedDrivers[driverName] ? Promise$1.resolve(DefinedDrivers[driverName]) : Promise$1.reject(new Error('Driver not found.'));\n\n        executeTwoCallbacks(getDriverPromise, callback, errorCallback);\n        return getDriverPromise;\n    };\n\n    LocalForage.prototype.getSerializer = function getSerializer(callback) {\n        var serializerPromise = Promise$1.resolve(localforageSerializer);\n        executeTwoCallbacks(serializerPromise, callback);\n        return serializerPromise;\n    };\n\n    LocalForage.prototype.ready = function ready(callback) {\n        var self = this;\n\n        var promise = self._driverSet.then(function () {\n            if (self._ready === null) {\n                self._ready = self._initDriver();\n            }\n\n            return self._ready;\n        });\n\n        executeTwoCallbacks(promise, callback, callback);\n        return promise;\n    };\n\n    LocalForage.prototype.setDriver = function setDriver(drivers, callback, errorCallback) {\n        var self = this;\n\n        if (!isArray(drivers)) {\n            drivers = [drivers];\n        }\n\n        var supportedDrivers = this._getSupportedDrivers(drivers);\n\n        function setDriverToConfig() {\n            self._config.driver = self.driver();\n        }\n\n        function extendSelfWithDriver(driver) {\n            self._extend(driver);\n            setDriverToConfig();\n\n            self._ready = self._initStorage(self._config);\n            return self._ready;\n        }\n\n        function initDriver(supportedDrivers) {\n            return function () {\n                var currentDriverIndex = 0;\n\n                function driverPromiseLoop() {\n                    while (currentDriverIndex < supportedDrivers.length) {\n                        var driverName = supportedDrivers[currentDriverIndex];\n                        currentDriverIndex++;\n\n                        self._dbInfo = null;\n                        self._ready = null;\n\n                        return self.getDriver(driverName).then(extendSelfWithDriver)[\"catch\"](driverPromiseLoop);\n                    }\n\n                    setDriverToConfig();\n                    var error = new Error('No available storage method found.');\n                    self._driverSet = Promise$1.reject(error);\n                    return self._driverSet;\n                }\n\n                return driverPromiseLoop();\n            };\n        }\n\n        // There might be a driver initialization in progress\n        // so wait for it to finish in order to avoid a possible\n        // race condition to set _dbInfo\n        var oldDriverSetDone = this._driverSet !== null ? this._driverSet[\"catch\"](function () {\n            return Promise$1.resolve();\n        }) : Promise$1.resolve();\n\n        this._driverSet = oldDriverSetDone.then(function () {\n            var driverName = supportedDrivers[0];\n            self._dbInfo = null;\n            self._ready = null;\n\n            return self.getDriver(driverName).then(function (driver) {\n                self._driver = driver._driver;\n                setDriverToConfig();\n                self._wrapLibraryMethodsWithReady();\n                self._initDriver = initDriver(supportedDrivers);\n            });\n        })[\"catch\"](function () {\n            setDriverToConfig();\n            var error = new Error('No available storage method found.');\n            self._driverSet = Promise$1.reject(error);\n            return self._driverSet;\n        });\n\n        executeTwoCallbacks(this._driverSet, callback, errorCallback);\n        return this._driverSet;\n    };\n\n    LocalForage.prototype.supports = function supports(driverName) {\n        return !!DriverSupport[driverName];\n    };\n\n    LocalForage.prototype._extend = function _extend(libraryMethodsAndProperties) {\n        extend(this, libraryMethodsAndProperties);\n    };\n\n    LocalForage.prototype._getSupportedDrivers = function _getSupportedDrivers(drivers) {\n        var supportedDrivers = [];\n        for (var i = 0, len = drivers.length; i < len; i++) {\n            var driverName = drivers[i];\n            if (this.supports(driverName)) {\n                supportedDrivers.push(driverName);\n            }\n        }\n        return supportedDrivers;\n    };\n\n    LocalForage.prototype._wrapLibraryMethodsWithReady = function _wrapLibraryMethodsWithReady() {\n        // Add a stub for each driver API method that delays the call to the\n        // corresponding driver method until localForage is ready. These stubs\n        // will be replaced by the driver methods as soon as the driver is\n        // loaded, so there is no performance impact.\n        for (var i = 0, len = LibraryMethods.length; i < len; i++) {\n            callWhenReady(this, LibraryMethods[i]);\n        }\n    };\n\n    LocalForage.prototype.createInstance = function createInstance(options) {\n        return new LocalForage(options);\n    };\n\n    return LocalForage;\n}();\n\n// The actual localForage object that we expose as a module or via a\n// global. It's extended by pulling in one of our other libraries.\n\n\nvar localforage_js = new LocalForage();\n\nmodule.exports = localforage_js;\n\n},{\"3\":3}]},{},[4])(4)\n});\n","// Observable notebooks documenting how the app's precomputed 23andMe / PGS data were built.\r\nconst BASE = \"https://observablehq.com/@lorenasandoval88\";\r\n\r\nexport const NOTEBOOKS = {\r\n\tpgpFiles: { url: `${BASE}/23andme-files-from-the-pgp`, label: \"How PGP 23andMe files were collected\" },\r\n\tchipManifests: { url: `${BASE}/23andme-manifest`, label: \"How the chip manifests were built\" },\r\n\tchipOverlap: { url: `${BASE}/23andme-v3v4v5-overlap`, label: \"Chip overlap & fingerprints\" },\r\n\tchipClassification: { url: `${BASE}/23andme-chip-classification`, label: \"Fingerprint-based chip classification\" },\r\n\tpgsChipOverlap: { url: `${BASE}/pgs-models-overlap-with-23andme-chips`, label: \"How PGS–chip overlap was computed\" },\r\n};\r\n","import { getPgsTxt, parseScore } from \"../sdk/pgsSdk.js\";\r\nimport { MatchOptimized } from \"../sdk/prs.js\";\r\n// import { parsePGP23, get23Txt } from \"../sdk/get23me.js\";\r\nimport { get23Txt } from \"../sdk/pgpSdk.js\";\r\nimport localforage from \"localforage\";\r\nimport { NOTEBOOKS } from \"./notebookLinks.js\";\r\nconsole.log(\"calculatePrs.js loaded\");\r\n\r\n\r\n\r\n// Calculate PRS for a given PGS and 23andMe genome data.\r\n//\r\n// Workflow (driven by buttons in the PRS tab):\r\n//   1. LOAD SCORES — fetchScores() (selected in the Select Risk Models tab) or\r\n//      loadExampleScores() (selection + EXAMPLE_SCORES). Both call\r\n//      loadScoresFromList(), which loads each PGS id one at a time via getPgsTxt()\r\n//      (fetch + parse + cache). Results populate loadedScores + window.loadedPgsTxts.\r\n//   2. LOAD USERS — fetchUsers() (selected in the 23andMe Data tab) or\r\n//      loadExampleUsers() (EXAMPLE_USERS). Both call loadUsersFromList(), which\r\n//      loads each genome one file at a time via get23Txt() (fetch + parse +\r\n//      cache). Results populate loadedUsers + window.loadedUsers.\r\n//   3. CALCULATE — calculatePRS() takes the checked users x checked scores, then for\r\n//      each pair calls calculateAndCachePRS() → MatchOptimized() (the actual PRS math) and\r\n//      organizeResultsByAllele() (groups matches by 0/1/2 effect alleles for plots).\r\n//      Results are cached (getCachedPRS/setCachedPRS), exposed on window.prsResults,\r\n//      and rendered as a table.\r\n//\r\n// Helpers:\r\n//   - Caching: getCachedPRS/setCachedPRS (per user+PGS); clearPRSCache /\r\n//     clearPGSCache / clearGenomeCache wipe each localforage namespace.\r\n//   - Rendering: renderScoresTable, renderUsersTable, escapeHtml, getCheckedIds.\r\n//   - User metadata: resolveUserFilePath, resolveUserName, nameFromFilename.\r\n//   - Public API mirrored under window.sdk at the bottom of the file.\r\n//\r\n// Track what has been loaded\r\nlet loadedScores = []; // parsed PGS scoring files (metadata objects)\r\nlet loadedUsers = []; // parsed 23andMe genome data ({ user, parsed })\r\n\r\nconst prsProgressBars = new Map();\r\n\r\nfunction ensureProgressBar(key, statusEl) {\r\n\tif (!statusEl) return null;\r\n\tif (prsProgressBars.has(key)) return prsProgressBars.get(key);\r\n\r\n\tconst wrap = document.createElement(\"div\");\r\n\twrap.className = \"progress mt-2 prs-progress\";\r\n\twrap.style.height = \"8px\";\r\n\t// Cap the bar at ~1/3 of the section width so it reads as a compact\r\n\t// indicator rather than spanning the full page.\r\n\twrap.style.maxWidth = \"33%\";\r\n\r\n\tconst bar = document.createElement(\"div\");\r\n\tbar.className = \"progress-bar progress-bar-striped\";\r\n\tbar.setAttribute(\"role\", \"progressbar\");\r\n\tbar.setAttribute(\"aria-valuemin\", \"0\");\r\n\tbar.setAttribute(\"aria-valuemax\", \"100\");\r\n\tbar.setAttribute(\"aria-valuenow\", \"0\");\r\n\tbar.style.width = \"0%\";\r\n\r\n\twrap.appendChild(bar);\r\n\tstatusEl.insertAdjacentElement(\"afterend\", wrap);\r\n\r\n\tconst entry = { wrap, bar, hideTimer: null };\r\n\tprsProgressBars.set(key, entry);\r\n\treturn entry;\r\n}\r\n\r\nfunction setProgressBar(key, statusEl, percent) {\r\n\tconst entry = ensureProgressBar(key, statusEl);\r\n\tif (!entry) return;\r\n\tconst p = Math.max(0, Math.min(100, Math.round(percent)));\r\n\t// New activity cancels any pending fade-out and shows the bar again.\r\n\tif (entry.hideTimer) { clearTimeout(entry.hideTimer); entry.hideTimer = null; }\r\n\tentry.wrap.classList.remove(\"progress-done\");\r\n\tentry.wrap.style.display = \"\";\r\n\tentry.bar.style.width = `${p}%`;\r\n\tentry.bar.setAttribute(\"aria-valuenow\", String(p));\r\n\tif (p >= 100) {\r\n\t\t// Complete: show the filled bar briefly, then fade it away so it doesn't\r\n\t\t// linger as clutter once the load is done.\r\n\t\tentry.hideTimer = setTimeout(() => {\r\n\t\t\tentry.wrap.classList.add(\"progress-done\");\r\n\t\t\tentry.hideTimer = setTimeout(() => {\r\n\t\t\t\tentry.wrap.style.display = \"none\";\r\n\t\t\t\tentry.wrap.classList.remove(\"progress-done\");\r\n\t\t\t\tentry.hideTimer = null;\r\n\t\t\t}, 700);\r\n\t\t}, 900);\r\n\t}\r\n}\r\n\r\n/*** Get cached PRS result for a user+PGS combination.\r\n * @param {string} userId - User ID\r\n * @param {string} pgsId - PGS ID\r\n * @returns {Promise<Object|null>} Cached result or null if not found\r\n */\r\nasync function getCachedPRS(userId, pgsId) {\r\n\ttry {\r\n\t\tconst key = `PRS: ${userId}_${pgsId}`;\r\n\t\tconst cache = await localforage.getItem(key) || {};\r\n\t\tconst result = cache[key] ?? null;\r\n\r\n\t\tif (result) {\r\n\t\t\tconsole.log(`Cache hit for ${userId}_${pgsId}`);\r\n\t\t}\r\n\r\n\t\treturn result;\r\n\t} catch (err) {\r\n\t\tconsole.warn('Failed to read PRS cache:', err);\r\n\t\treturn null;\r\n\t}\r\n}\r\n\r\n/*** Store PRS result in cache.\r\n * @param {string} userId - User ID\r\n * @param {string} pgsId - PGS ID\r\n * @param {Object} result - PRS calculation result\r\n */\r\nasync function setCachedPRS(userId, pgsId, result) {\r\n\tconsole.log(`Caching PRS result for key ${userId}_${pgsId}`);\r\n\ttry {\r\n\t\tconst key = `PRS: ${userId}_${pgsId}`;\r\n\t\tconst cache = await localforage.getItem(key) || {};\r\n\r\n\t\tcache[key] = { ...result, cachedAt: new Date().toISOString() };\r\n\t\tawait localforage.setItem(key, cache);\r\n\t} catch (err) {\r\n\t\tconsole.warn('Failed to write PRS cache:', err);\r\n\t}\r\n}\r\n\r\n/*** Clear all cached PRS results (keys starting with \"PRS:\").\r\n */\r\nasync function clearPRSCache() {\r\n\tconst keys = await localforage.keys();\r\n\tconst prsKeys = keys.filter(k => k.startsWith('PRS:'));\r\n\tfor (const key of prsKeys) {\r\n\t\tawait localforage.removeItem(key);\r\n\t}\r\n\tconsole.log(`PRS cache cleared: removed ${prsKeys.length} item(s)`);\r\n\r\n\t// Reset the Calculate PRS results table and status.\r\n\twindow.prsResults = [];\r\n\tif (window.sdk) window.sdk.prsResults = [];\r\n\tif (typeof window.invalidateClusterCache === \"function\") window.invalidateClusterCache();\r\n\tconst resultsDiv = document.getElementById(\"prsResultsDiv\");\r\n\tif (resultsDiv) resultsDiv.innerHTML = \"\";\r\n\tconst statusEl = document.getElementById(\"prsResultsStatus\");\r\n\tif (statusEl) statusEl.textContent = \"\";\r\n}\r\nwindow.clearPRSCache = clearPRSCache;\r\n\r\n/*** Clear PGS scoring file cache (pgs:PGS* keys only, not trait/category summaries)\r\n */\r\nasync function clearPGSCache() {\r\n\tconsole.log(\"Clearing PGS scoring cache...\");\r\n\tconst keys = await localforage.keys();\r\n\t// Only clear keys like \"pgs:PGS000001\", not \"pgs:trait-summary\" or \"pgs:all-score-summary\"\r\n\tconst pgsKeys = keys.filter(k => k.startsWith('PGS_Catalog:id-PGS'));\r\n\tfor (const key of pgsKeys) {\r\n\t\tawait localforage.removeItem(key);\r\n\t}\r\n\tconsole.log(`PGS scoring cache cleared: removed ${pgsKeys.length} item(s)`);\r\n\r\n\t// Reset the loaded risk models table and status.\r\n\tloadedScores = [];\r\n\twindow.loadedPgsTxts = [];\r\n\tconst scoresAction = document.getElementById(\"prsScoresAction\");\r\n\tif (scoresAction) scoresAction.innerHTML = \"\";\r\n\tconst scoresStatus = document.getElementById(\"prsScoresDiv\");\r\n\tif (scoresStatus) scoresStatus.textContent = \"Choose a risk model from the PGS Catalog, or load example scores below to get started.\";\r\n\r\n\treturn pgsKeys.length;\r\n}\r\nwindow.clearPGSCache = clearPGSCache;\r\n\r\n/*** Clear genome/23andMe cache (Genome:23andMe-txt-* keys only, not metadata)\r\n */\r\nasync function clearGenomeCache() {\r\n\tconst keys = await localforage.keys();\r\n\t// Only clear keys like \"Genome:23andMe-txt-hu09B28E\", not metadata keys\r\n\tconst genomeKeys = keys.filter(k => k.startsWith('Genome:23andMe-txt-'));\r\n\tfor (const key of genomeKeys) {\r\n\t\tawait localforage.removeItem(key);\r\n\t}\r\n\tconsole.log(`Genome cache cleared: removed ${genomeKeys.length} item(s)`);\r\n\r\n\t// Reset the loaded participants table and status.\r\n\tloadedUsers = [];\r\n\twindow.loadedUsers = [];\r\n\tconst usersAction = document.getElementById(\"prsUsersAction\");\r\n\tif (usersAction) usersAction.innerHTML = \"\";\r\n\tconst usersStatus = document.getElementById(\"prsUsersdiv\");\r\n\tif (usersStatus) usersStatus.textContent = \"Choose a 23andMe file from your data, or load example users below to get started.\";\r\n\r\n\treturn genomeKeys.length;\r\n}\r\nwindow.clearGenomeCache = clearGenomeCache;\r\n\r\n/*** Reset the Calculate PRS tab to its initial, empty state: clear the loaded\r\n * genomes, loaded risk models, and computed results shown in this tab, drop any\r\n * lingering progress bars, and restore each step's placeholder text.\r\n *\r\n * This does NOT delete cached data (use the per-step \"Clear Cache\" buttons for\r\n * that) and does not change the selections made in the Genomic Data / Risk\r\n * Models tabs — reloading examples or recalculating restores everything.\r\n */\r\nfunction resetPrsTab() {\r\n\tif (!window.confirm(\"Reset the Calculate PRS tab? This clears the loaded genomes, risk models, and results shown here. Cached data is not deleted and can be reloaded.\")) return;\r\n\r\n\t// In-memory state for this tab.\r\n\tloadedScores = [];\r\n\tloadedUsers = [];\r\n\twindow.loadedPgsTxts = [];\r\n\twindow.loadedUsers = [];\r\n\twindow.prsResults = [];\r\n\tif (window.sdk) window.sdk.prsResults = [];\r\n\r\n\t// Results-table paging/sort state.\r\n\t_prsResults = [];\r\n\t_prsResultsDiv = null;\r\n\t_prsResultsPage = 1;\r\n\t_prsResultsSort = { idx: -1, dir: 1 };\r\n\r\n\t// Remove any progress bars left in the DOM and cancel their fade timers.\r\n\tfor (const entry of prsProgressBars.values()) {\r\n\t\tif (entry?.hideTimer) clearTimeout(entry.hideTimer);\r\n\t\tentry?.wrap?.remove();\r\n\t}\r\n\tprsProgressBars.clear();\r\n\r\n\t// Clear the tables, results, status, and heatmap.\r\n\tconst usersAction = document.getElementById(\"prsUsersAction\");\r\n\tif (usersAction) usersAction.innerHTML = \"\";\r\n\tconst scoresAction = document.getElementById(\"prsScoresAction\");\r\n\tif (scoresAction) scoresAction.innerHTML = \"\";\r\n\tconst resultsDiv = document.getElementById(\"prsResultsDiv\");\r\n\tif (resultsDiv) resultsDiv.innerHTML = \"\";\r\n\tconst resultsStatus = document.getElementById(\"prsResultsStatus\");\r\n\tif (resultsStatus) resultsStatus.textContent = \"\";\r\n\tconst heatmap = document.getElementById(\"container-id-1\");\r\n\tif (heatmap) heatmap.innerHTML = \"\";\r\n\r\n\t// Restore the step-1 and step-2 placeholder prompts (matches index.html).\r\n\tconst usersStatus = document.getElementById(\"prsUsersdiv\");\r\n\tif (usersStatus) usersStatus.innerHTML = 'Upload your 23andMe file and/or choose from available 23andMe files, or load examples below to get started. <a href=\"#\" onclick=\"document.querySelector(\\'.tablinks[onclick*=GenomicData]\\').click(); return false;\">Go to 23andMe Data →</a>';\r\n\tconst scoresStatus = document.getElementById(\"prsScoresDiv\");\r\n\tif (scoresStatus) scoresStatus.innerHTML = 'Choose a risk model from the PGS Catalog, or load example models below to get started. <a href=\"#\" onclick=\"document.querySelector(\\'.tablinks[onclick*=PGSCatalog]\\').click(); return false;\">Go to Select Risk Models →</a>';\r\n\r\n\t// Clear any cluster/heatmap derived from the (now empty) results.\r\n\tif (typeof window.invalidateClusterCache === \"function\") window.invalidateClusterCache();\r\n\tif (typeof window.renderCluster === \"function\") {\r\n\t\ttry { window.renderCluster(); } catch (e) { console.error(\"renderCluster error during reset:\", e); }\r\n\t}\r\n\r\n\tconsole.log(\"Calculate PRS tab reset.\");\r\n}\r\nwindow.resetPrsTab = resetPrsTab;\r\n\r\n/* -------------------------------------------------------------------------- *\r\n * Download helpers for the PRS tab.\r\n *   §1 \"Select Risk Models\"  -> selected PGS models (window.getSelectedScores)\r\n *   §3 \"Calculate PRS\"       -> computed PRS results (window.prsResults)\r\n * Each is offered as JSON (full objects) and CSV (curated columns).\r\n * -------------------------------------------------------------------------- */\r\n\r\n/** Trigger a browser download of `content` as a file. */\r\nfunction triggerDownload(content, filename, mime) {\r\n\tconst blob = new Blob([content], { type: mime });\r\n\tconst url = URL.createObjectURL(blob);\r\n\tconst a = document.createElement(\"a\");\r\n\ta.href = url;\r\n\ta.download = filename;\r\n\ta.click();\r\n\tURL.revokeObjectURL(url);\r\n}\r\n\r\n/** Escape a single CSV cell (quote if it contains a comma, quote, or newline). */\r\nfunction csvCell(value) {\r\n\tif (value === null || value === undefined) return \"\";\r\n\tconst s = String(value);\r\n\treturn /[\",\\n]/.test(s) ? `\"${s.replace(/\"/g, '\"\"')}\"` : s;\r\n}\r\n\r\n/** Build a CSV string from a header array and an array of row arrays. */\r\nfunction rowsToCsv(headers, rows) {\r\n\tconst lines = [headers.map(csvCell).join(\",\")];\r\n\tfor (const row of rows) lines.push(row.map(csvCell).join(\",\"));\r\n\treturn lines.join(\"\\n\");\r\n}\r\n\r\n/** Filesystem-safe timestamp for download filenames, e.g. 2026-07-28-14-30-05. */\r\nfunction downloadTimestamp() {\r\n\treturn new Date().toISOString().slice(0, 19).replace(/[:T]/g, \"-\");\r\n}\r\n\r\n/** Risk models shown in the PRS tab's models table: the Select Risk Models tab's\r\n * selection merged with models loaded here (examples / fetched). Using the same source\r\n * as the table means whatever is listed can always be downloaded. */\r\nfunction getSelectedRiskModels() {\r\n\treturn getPrsDisplayScores();\r\n}\r\n\r\n/** weight_type for a model: from the parsed scoring file header when it is loaded,\r\n * otherwise from the catalog metadata. \"NR\" = not reported. */\r\nfunction riskModelWeightType(score) {\r\n\tconst txts = Array.isArray(window.loadedPgsTxts) ? window.loadedPgsTxts : [];\r\n\tconst txt = txts.find(t => (t?.id ?? t?.meta?.pgs_id) === score?.id);\r\n\treturn txt?.meta?.weight_type ?? score?.weight_type ?? \"NR\";\r\n}\r\n\r\n/** Download the models' metadata as JSON: the catalog record for each model plus the\r\n * full `#key=value` header block parsed from its scoring file. The header is available\r\n * as soon as the scoring files are loaded (step 2) — running Calculate PRS is not\r\n * required. The scoring-file variant rows are not included. */\r\nfunction downloadRiskModelsJson() {\r\n\tconst models = getSelectedRiskModels();\r\n\tif (!models.length) { alert(\"No risk models listed. Select models in the PGS Catalog or load the example models first.\"); return; }\r\n\tconst txts = Array.isArray(window.loadedPgsTxts) ? window.loadedPgsTxts : [];\r\n\tconst payload = models.map(m => {\r\n\t\t// Drop internal \"_\" keys (e.g. _parsed) so the file stays metadata, not a data dump.\r\n\t\tconst record = Object.fromEntries(Object.entries(m ?? {}).filter(([k]) => !k.startsWith(\"_\")));\r\n\t\tconst txt = txts.find(t => (t?.id ?? t?.meta?.pgs_id) === m?.id);\r\n\t\treturn { ...record, meta: txt?.meta ?? null };\r\n\t});\r\n\tconst missing = payload.filter(p => p.meta == null).length;\r\n\tif (missing > 0) {\r\n\t\tconsole.warn(`${missing} model(s) have no parsed scoring file yet; their \"meta\" is null. Load the scoring files first.`);\r\n\t}\r\n\ttriggerDownload(JSON.stringify(payload, null, 2), `risk_models_${downloadTimestamp()}.json`, \"application/json\");\r\n}\r\n\r\n/** Download the models table as CSV (the rows shown above). */\r\nfunction downloadRiskModelsCsv() {\r\n\tconst models = getSelectedRiskModels();\r\n\tif (!models.length) { alert(\"No risk models listed. Select models in the PGS Catalog or load the example models first.\"); return; }\r\n\tconst headers = [\"PGS ID\", \"Name\", \"Trait\", \"Weight Type\", \"Variants\", \"Release Date\"];\r\n\tconst rows = models.map(m => [\r\n\t\tm?.id ?? \"\",\r\n\t\tm?.name ?? \"\",\r\n\t\tm?.trait_reported ?? \"\",\r\n\t\triskModelWeightType(m),\r\n\t\tm?.variants_number ?? \"\",\r\n\t\tm?.date_release ?? \"\",\r\n\t]);\r\n\ttriggerDownload(rowsToCsv(headers, rows), `risk_models_${downloadTimestamp()}.csv`, \"text/csv\");\r\n}\r\n\r\n/** Download the computed PRS results as JSON (full result objects). */\r\nfunction downloadRiskScoresJson() {\r\n\tconst results = Array.isArray(window.prsResults) ? window.prsResults : [];\r\n\tif (!results.length) { alert(\"No PRS results yet. Click \\\"Calculate PRS\\\" first.\"); return; }\r\n\ttriggerDownload(JSON.stringify(results, null, 2), `risk_scores_${downloadTimestamp()}.json`, \"application/json\");\r\n}\r\n\r\n/** Download the computed PRS results as CSV (matches the results table columns). */\r\nfunction downloadRiskScoresCsv() {\r\n\tconst results = Array.isArray(window.prsResults) ? window.prsResults : [];\r\n\tif (!results.length) { alert(\"No PRS results yet. Click \\\"Calculate PRS\\\" first.\"); return; }\r\n\tconst headers = [\r\n\t\t\"Participant ID\", \"Name\", \"PGS ID\", \"PRS Score\", \"Weight Type\", \"Matched Alleles\",\r\n\t\t\"Zero Allele Count\", \"One Allele Count\", \"Two Allele Count\",\r\n\t\t\"Total Variants\", \"Unmatched Variants\", \"Missing Genotypes\",\r\n\t\t\"Match Rate\", \"Weight Coverage\", \"Source\",\r\n\t];\r\n\tconst rows = results.map(r => {\r\n\t\tconst org = r.organized?.summary ?? {};\r\n\t\treturn [\r\n\t\t\tr.userId ?? \"\",\r\n\t\t\tr.userName ?? \"\",\r\n\t\t\tr.pgsId ?? \"\",\r\n\t\t\ttypeof r.PRS === \"number\" ? r.PRS : (r.PRS ?? \"\"),\r\n\t\t\tr.weightType ?? r.pgs?.meta?.weight_type ?? \"NR\",\r\n\t\t\tr.alleles?.length ?? 0,\r\n\t\t\torg.zeroAlleleCount ?? \"\",\r\n\t\t\torg.oneAlleleCount ?? \"\",\r\n\t\t\torg.twoAlleleCount ?? \"\",\r\n\t\t\tr.totalVariants ?? \"\",\r\n\t\t\tr.unmatchedVariants ?? \"\",\r\n\t\t\tr.missingGenotypes ?? \"\",\r\n\t\t\torg.matchRate ?? \"\",\r\n\t\t\tNumber.isFinite(r.weightCoverage) ? (r.weightCoverage * 100).toFixed(2) + \"%\" : \"\",\r\n\t\t\tr.fromCache ? \"cached\" : \"calculated\",\r\n\t\t];\r\n\t});\r\n\ttriggerDownload(rowsToCsv(headers, rows), `risk_scores_${downloadTimestamp()}.csv`, \"text/csv\");\r\n}\r\n\r\nwindow.downloadRiskModelsJson = downloadRiskModelsJson;\r\nwindow.downloadRiskModelsCsv = downloadRiskModelsCsv;\r\nwindow.downloadRiskScoresJson = downloadRiskScoresJson;\r\nwindow.downloadRiskScoresCsv = downloadRiskScoresCsv;\r\n\r\n\r\n/**\r\n * Organize PRS match results by allele count (0, 1, or 2).\r\n * Returns structured data suitable for plotting or analysis.\r\n * @param {Object} matchResult - Result from MatchOptimized function (contains pgsMatchMy23, alleles, calcRiskScore, PRS, etc.)\r\n * @param {Object} pgsData - Parsed PGS scoring file (contains cols, dt, meta)\r\n * @returns {Object} Organized data with matched/not_matched/matched_by_alleles breakdown\r\n */\r\nfunction organizeResultsByAllele(matchResult, pgsData) {\r\n\tconst obj = {};\r\n\tconst indChr = pgsData.cols.indexOf('hm_chr');\r\n\tconst indPos = pgsData.cols.indexOf('hm_pos');\r\n\tconst indBeta = pgsData.cols.indexOf('effect_weight');\r\n\r\n\t// Extract matched PGS variants from pgsMatchMy23\r\n\t// Each element in pgsMatchMy23 is [23andMe variant(s), ..., PGS variant]\r\n\tconst matched = matchResult.pgsMatchMy23.map(v => {\r\n\t\tif (v.length === 2) {\r\n\t\t\treturn v[1]; // [23andMe, PGS]\r\n\t\t} else if (v.length >= 3) {\r\n\t\t\treturn v[v.length - 1]; // Last element is PGS variant\r\n\t\t}\r\n\t\treturn null;\r\n\t}).filter(Boolean);\r\n\r\n\t// Helper function to combine arrays into array of objects\r\n\tfunction Push(data, subdata) {\r\n\t\treturn subdata.map((_, i) => {\r\n\t\t\treturn Object.entries(data).reduce((a, [k, arr]) => (a[k] = arr[i], a), {});\r\n\t\t});\r\n\t}\r\n\r\n\t// --- MATCHED (all) ---\r\n\tconst matched_risk = matched.map(j => j[indBeta]);\r\n\tconst matched_chrPos = matched.map(j => `Chr${j[indChr]}.${j[indPos]}`);\r\n\r\n\tobj.matched = {\r\n\t\tchrPos: matched_chrPos,\r\n\t\tdt: matched,\r\n\t\talleles: matchResult.alleles,\r\n\t\trisk: matched_risk,\r\n\t\tallele: matchResult.alleles,\r\n\t\trisk_x_allele: matched_risk.map((r, i) => r * (matchResult.alleles[i] ?? 0)),\r\n\t\tcategory: Array(matched.length).fill(\"matched\"),\r\n\t\tcount: matched.length\r\n\t};\r\n\r\n\t// --- NOT MATCHED ---\r\n\tconst notMatchData = pgsData.dt.filter(element => !matched.includes(element));\r\n\tconst not_matched_chrPos = notMatchData.map(j => `Chr${j[indChr]}.${j[indPos]}`);\r\n\tconst not_matched_risk = notMatchData.map(j => j[indBeta]);\r\n\r\n\tobj.not_matched = {\r\n\t\tchrPos: not_matched_chrPos,\r\n\t\tdt: notMatchData,\r\n\t\trisk: not_matched_risk,\r\n\t\tcategory: Array(notMatchData.length).fill(`${notMatchData.length} not matched`),\r\n\t\tcount: notMatchData.length,\r\n\t\tsize: Array(notMatchData.length).fill(\"9\"),\r\n\t\tcolor: Array(notMatchData.length).fill(\"rgb(140, 140, 140)\"),\r\n\t\topacity: Array(notMatchData.length).fill(\"0.5\"),\r\n\t\tsymbol: Array(notMatchData.length).fill(\"x\"),\r\n\t\thoverinfo: Array(notMatchData.length).fill(\"all\")\r\n\t};\r\n\r\n\t// --- ALL VARIANTS ---\r\n\tconst allData = pgsData.dt;\r\n\tconst allData_chrPos = allData.map(j => `Chr${j[indChr]}.${j[indPos]}`);\r\n\tconst allData_risk = allData.map(j => j[indBeta]);\r\n\r\n\tobj.all = {\r\n\t\tchrPos: allData_chrPos,\r\n\t\tdt: allData,\r\n\t\trisk: allData_risk,\r\n\t\tcategory: Array(allData.length).fill(\" \"),\r\n\t\tcount: allData.length,\r\n\t\tsize: Array(allData.length).fill(\"10\"),\r\n\t\tcolor: Array(allData.length).fill(\"green\"),\r\n\t\topacity: Array(allData.length).fill(\"0\"),\r\n\t\tsymbol: Array(allData.length).fill(\"square\"),\r\n\t\thoverinfo: Array(allData.length).fill(\"none\")\r\n\t};\r\n\r\n\t// --- MATCHED BY ALLELE COUNT (0, 1, 2) ---\r\n\tconst alleles = matchResult.alleles;\r\n\r\n\t// Filter indices by allele count\r\n\tconst zero_allele_idx = alleles.map((elm, idx) => elm === 0 ? idx : '').filter(x => x !== '');\r\n\tconst one_allele_idx = alleles.map((elm, idx) => elm === 1 ? idx : '').filter(x => x !== '');\r\n\tconst two_allele_idx = alleles.map((elm, idx) => elm === 2 ? idx : '').filter(x => x !== '');\r\n\r\n\t// Filter matched variants by allele count\r\n\tconst zero_allele = matched.filter((_, idx) => alleles[idx] === 0);\r\n\tconst one_allele = matched.filter((_, idx) => alleles[idx] === 1);\r\n\tconst two_allele = matched.filter((_, idx) => alleles[idx] === 2);\r\n\r\n\t// Build chr.pos arrays\r\n\tconst zero_allele_chrpos = zero_allele_idx.map(i => `Chr${matched[i][indChr]}.${matched[i][indPos]}`);\r\n\tconst one_allele_chrpos = one_allele_idx.map(i => `Chr${matched[i][indChr]}.${matched[i][indPos]}`);\r\n\tconst two_allele_chrpos = two_allele_idx.map(i => `Chr${matched[i][indChr]}.${matched[i][indPos]}`);\r\n\r\n\tobj.matched_by_alleles = {\r\n\t\tzero_allele: {\r\n\t\t\tchrPos: zero_allele_chrpos,\r\n\t\t\tdt: zero_allele,\r\n\t\t\trisk: zero_allele_idx.map(i => matched[i][indBeta]),\r\n\t\t\tallele: Array(zero_allele.length).fill(0),\r\n\t\t\trisk_x_allele: Array(zero_allele.length).fill(0),\r\n\t\t\triskScores: zero_allele_idx.map(i => matchResult.calcRiskScore[i]),\r\n\t\t\tcategory: Array(zero_allele.length).fill(`${zero_allele.length} matched, zero alleles`),\r\n\t\t\tcount: zero_allele.length,\r\n\t\t\tsize: Array(zero_allele.length).fill(\"8\"),\r\n\t\t\tcolor: Array(zero_allele.length).fill(\"#17becf\"),\r\n\t\t\topacity: Array(zero_allele.length).fill(\"1\"),\r\n\t\t\tsymbol: Array(zero_allele.length).fill(\"circle\"),\r\n\t\t\thoverinfo: Array(zero_allele.length).fill(\"all\")\r\n\t\t},\r\n\t\tone_allele: {\r\n\t\t\tchrPos: one_allele_chrpos,\r\n\t\t\tdt: one_allele,\r\n\t\t\trisk: one_allele_idx.map(i => matched[i][indBeta]),\r\n\t\t\tallele: Array(one_allele.length).fill(1),\r\n\t\t\trisk_x_allele: one_allele_idx.map(i => matched[i][indBeta] * 1),\r\n\t\t\triskScores: one_allele_idx.map(i => matchResult.calcRiskScore[i]),\r\n\t\t\tcategory: Array(one_allele.length).fill(`${one_allele.length} matched, one allele`),\r\n\t\t\tcount: one_allele.length,\r\n\t\t\tsize: Array(one_allele.length).fill(\"8\"),\r\n\t\t\tcolor: Array(one_allele.length).fill(\"navy\"),\r\n\t\t\topacity: Array(one_allele.length).fill(\"1\"),\r\n\t\t\tsymbol: Array(one_allele.length).fill(\"diamond\"),\r\n\t\t\thoverinfo: Array(one_allele.length).fill(\"all\")\r\n\t\t},\r\n\t\ttwo_allele: {\r\n\t\t\tchrPos: two_allele_chrpos,\r\n\t\t\tdt: two_allele,\r\n\t\t\trisk: two_allele_idx.map(i => matched[i][indBeta]),\r\n\t\t\tallele: Array(two_allele.length).fill(2),\r\n\t\t\trisk_x_allele: two_allele_idx.map(i => matched[i][indBeta] * 2),\r\n\t\t\triskScores: two_allele_idx.map(i => matchResult.calcRiskScore[i]),\r\n\t\t\tcategory: Array(two_allele.length).fill(`${two_allele.length} matched, two alleles`),\r\n\t\t\tcount: two_allele.length,\r\n\t\t\tsize: Array(two_allele.length).fill(\"10\"),\r\n\t\t\tcolor: Array(two_allele.length).fill(\"#d62728\"),\r\n\t\t\topacity: Array(two_allele.length).fill(\"1\"),\r\n\t\t\tsymbol: Array(two_allele.length).fill(\"square\"),\r\n\t\t\thoverinfo: Array(two_allele.length).fill(\"all\")\r\n\t\t}\r\n\t};\r\n\r\n\t// --- COMBINED ITEMS for plotting (like plotAllMatchByEffect4) ---\r\n\tconst items = Push(obj.all, obj.all.risk).concat(\r\n\t\tPush(obj.not_matched, obj.not_matched.risk)).concat(\r\n\t\tPush(obj.matched_by_alleles.zero_allele, obj.matched_by_alleles.zero_allele.risk)).concat(\r\n\t\tPush(obj.matched_by_alleles.one_allele, obj.matched_by_alleles.one_allele.risk)).concat(\r\n\t\tPush(obj.matched_by_alleles.two_allele, obj.matched_by_alleles.two_allele.risk));\r\n\r\n\tobj.items = items;\r\n\r\n\t// Summary stats\r\n\tobj.summary = {\r\n\t\ttotalPgsVariants: pgsData.dt.length,\r\n\t\ttotalMatched: matched.length,\r\n\t\ttotalNotMatched: notMatchData.length,\r\n\t\tzeroAlleleCount: zero_allele.length,\r\n\t\toneAlleleCount: one_allele.length,\r\n\t\ttwoAlleleCount: two_allele.length,\r\n\t\tmatchRate: (matched.length / pgsData.dt.length * 100).toFixed(2) + \"%\",\r\n\t\t// Model variants whose locus was absent from the genome file or returned a no-call.\r\n\t\tmissingGenotypes: matchResult.missingGenotypes ?? null,\r\n\t\t// Fraction of the model's total absolute effect weight represented by matched variants.\r\n\t\tweightCoverage: matchResult.weightCoverage ?? null,\r\n\t\t// Reported by the scoring file; not inferred from the weights.\r\n\t\tweightType: matchResult.weightType ?? pgsData.meta?.weight_type ?? \"NR\",\r\n\t\tPRS: matchResult.PRS,\r\n\t\tpgsId: matchResult.pgs_id ?? pgsData.meta?.pgs_id,\r\n\t\ttrait: pgsData.meta?.trait_mapped ?? pgsData.meta?.trait_reported ?? \"\"\r\n\t};\r\n\r\n\treturn obj;\r\n}\r\nwindow.organizeResultsByAllele = organizeResultsByAllele;\r\n\r\n\r\n/** Example local users (all 10 from data folder) */\r\nconst EXAMPLE_USERS = [\r\n\t{\r\n\t\tid: \"hu09B28E\",\r\n\t\tname: \"Joshua Yoakem\",\r\n\t\tparticipant_id: \"hu09B28E\",\r\n\t\tpublishedDate: \"2025-01-27\",\r\n\t\tgender: null,\r\n\t\tethnicity: null,\r\n\t\trace: null,\r\n\t\tversion: \"v5\",\r\n\t\tbuild: 37,\r\n\t\tgenotypes: [{\r\n\t\t\tfilename: \"PGP_hu09B28E_genome_Joshua_Yoakem_v5_Full_20250127054538.txt\",\r\n\t\t\tfiletype: \"23andme\",\r\n\t\t\tdownload_url: \"data/PGP_hu09B28E_genome_Joshua_Yoakem_v5_Full_20250127054538.txt\"\r\n\t\t}]\r\n\t},\r\n\t{\r\n\t\tid: \"hu0F2E0D\",\r\n\t\tname: \"Cajun\",\r\n\t\tparticipant_id: \"hu0F2E0D\",\r\n\t\tpublishedDate: \"2023-11-21\",\r\n\t\tgender: null,\r\n\t\tethnicity: null,\r\n\t\trace: null,\r\n\t\tversion: \"v5\",\r\n\t\tbuild: 37,\r\n\t\tgenotypes: [{\r\n\t\t\tfilename: \"PGP_hu0F2E0D_genome_Cajun_v5_Full_20231121192441.txt\",\r\n\t\t\tfiletype: \"23andme\",\r\n\t\t\tdownload_url: \"data/PGP_hu0F2E0D_genome_Cajun_v5_Full_20231121192441.txt\"\r\n\t\t}]\r\n\t},\r\n\t{\r\n\t\tid: \"hu50801B\",\r\n\t\tname: \"Melinda Chaperlo\",\r\n\t\tparticipant_id: \"hu50801B\",\r\n\t\tpublishedDate: \"2024-07-28\",\r\n\t\tgender: \"Female\",\r\n\t\tethnicity: \"Not Hispanic or Latino\",\r\n\t\trace: \"White\",\r\n\t\tversion: \"v5\",\r\n\t\tbuild: 37,\r\n\t\tgenotypes: [{\r\n\t\t\tfilename: \"PGP_hu50801B_genome_Melinda_Chaperlo_v5_Full_20240728204807_(1).txt\",\r\n\t\t\tfiletype: \"23andme\",\r\n\t\t\tdownload_url: \"data/PGP_hu50801B_genome_Melinda_Chaperlo_v5_Full_20240728204807_(1).txt\"\r\n\t\t}]\r\n\t},\r\n\t{\r\n\t\tid: \"huAE4518\",\r\n\t\tname: \"Marika Forsythe\",\r\n\t\tparticipant_id: \"huAE4518\",\r\n\t\tpublishedDate: \"2024-08-26\",\r\n\t\tgender: null,\r\n\t\tethnicity: null,\r\n\t\trace: null,\r\n\t\tversion: \"v4\",\r\n\t\tbuild: 37,\r\n\t\tgenotypes: [{\r\n\t\t\tfilename: \"PGP_huAE4518_genome_Marika_Forsythe_v4_Full_20240826181111.txt\",\r\n\t\t\tfiletype: \"23andme\",\r\n\t\t\tdownload_url: \"data/PGP_huAE4518_genome_Marika_Forsythe_v4_Full_20240826181111.txt\"\r\n\t\t}]\r\n\t},\r\n\t{\r\n\t\tid: \"huBE0518\",\r\n\t\tname: \"Christopher Smith\",\r\n\t\tparticipant_id: \"huBE0518\",\r\n\t\tpublishedDate: \"2023-09-26\",\r\n\t\tgender: null,\r\n\t\tethnicity: null,\r\n\t\trace: null,\r\n\t\tversion: \"v5\",\r\n\t\tbuild: 37,\r\n\t\tgenotypes: [{\r\n\t\t\tfilename: \"PGP_huBE0518_genome_Christopher_Smith_v5_Full_20230926164611.txt\",\r\n\t\t\tfiletype: \"23andme\",\r\n\t\t\tdownload_url: \"data/PGP_huBE0518_genome_Christopher_Smith_v5_Full_20230926164611.txt\"\r\n\t\t}]\r\n\t},\r\n\t{\r\n\t\tid: \"angela_prochazka\",\r\n\t\tname: \"Angela Prochazka\",\r\n\t\tparticipant_id: \"angela_prochazka\",\r\n\t\tpublishedDate: \"2018-02-16\",\r\n\t\tgender: \"Female\",\r\n\t\tethnicity: \"Hispanic or Latino\",\r\n\t\trace: \"American Indian / Alaska Native, Hispanic or Latino, White\",\r\n\t\tversion: \"v5\",\r\n\t\tbuild: 37,\r\n\t\tgenotypes: [{\r\n\t\t\tfilename: \"genome_Angela_Prochazka_v5_Full_20180216181631.txt\",\r\n\t\t\tfiletype: \"23andme\",\r\n\t\t\tdownload_url: \"data/genome_Angela_Prochazka_v5_Full_20180216181631.txt\"\r\n\t\t}]\r\n\t},\r\n\t{\r\n\t\tid: \"burnetta_hood\",\r\n\t\tname: \"Burnetta Hood\",\r\n\t\tparticipant_id: \"burnetta_hood\",\r\n\t\tpublishedDate: \"2017-06-16\",\r\n\t\tgender: \"Female\",\r\n\t\tethnicity: \"Black or African American\",\r\n\t\trace: \"Other\",\r\n\t\tversion: \"v4\",\r\n\t\tbuild: 37,\r\n\t\tgenotypes: [{\r\n\t\t\tfilename: \"genome_Burnetta_Hood_v4_Full_20170616141234.txt\",\r\n\t\t\tfiletype: \"23andme\",\r\n\t\t\tdownload_url: \"data/genome_Burnetta_Hood_v4_Full_20170616141234.txt\"\r\n\t\t}]\r\n\t},\r\n\t{\r\n\t\tid: \"lw\",\r\n\t\tname: \"LW\",\r\n\t\tparticipant_id: \"lw\",\r\n\t\tpublishedDate: \"2017-09-24\",\r\n\t\tgender: \"Female\",\r\n\t\tethnicity: \"Other\",\r\n\t\trace: \"Black or African American\",\r\n\t\tversion: \"v5\",\r\n\t\tbuild: 37,\r\n\t\tgenotypes: [{\r\n\t\t\tfilename: \"genome_LW_v5_Full_20170924182428.txt\",\r\n\t\t\tfiletype: \"23andme\",\r\n\t\t\tdownload_url: \"data/genome_LW_v5_Full_20170924182428.txt\"\r\n\t\t}]\r\n\t},\r\n\t{\r\n\t\tid: \"ritaann_valencia\",\r\n\t\tname: \"RitaAnn Valencia\",\r\n\t\tparticipant_id: \"ritaann_valencia\",\r\n\t\tpublishedDate: \"2017-10-11\",\r\n\t\tgender: \"Female\",\r\n\t\tethnicity: \"Hispanic or Latino\",\r\n\t\trace: \"Hispanic or Latino\",\r\n\t\tversion: \"v5\",\r\n\t\tbuild: 37,\r\n\t\tgenotypes: [{\r\n\t\t\tfilename: \"genome_RitaAnn_Valencia_v5_Full_20171011005432.txt\",\r\n\t\t\tfiletype: \"23andme\",\r\n\t\t\tdownload_url: \"data/genome_RitaAnn_Valencia_v5_Full_20171011005432.txt\"\r\n\t\t}]\r\n\t},\r\n\t{\r\n\t\tid: \"terrence_pinder\",\r\n\t\tname: \"Terrence Pinder\",\r\n\t\tparticipant_id: \"terrence_pinder\",\r\n\t\tpublishedDate: \"2016-08-22\",\r\n\t\tgender: \"Male\",\r\n\t\tethnicity: \"Other\",\r\n\t\trace: \"Black or African American\",\r\n\t\tversion: \"v4\",\r\n\t\tbuild: 37,\r\n\t\tgenotypes: [{\r\n\t\t\tfilename: \"genome_Terrence_Pinder_v4_Full_20160822064115.txt\",\r\n\t\t\tfiletype: \"23andme\",\r\n\t\t\tdownload_url: \"data/genome_Terrence_Pinder_v4_Full_20160822064115.txt\"\r\n\t\t}]\r\n\t}\r\n];\r\n\r\n/** Example PGS scores (sample entries) */\r\nconst EXAMPLE_SCORES = [\r\n\t{\r\n\t\tid: \"PGS000001\",\r\n\t\tname: \"PRS77_BC\",\r\n\t\ttrait_reported: \"Breast cancer\",\r\n\t\tvariants_number: 77,\r\n\t\tdate_release: \"2019-10-14\",\r\n\t\tlocal_file: \"data/PGS000001_hmPOS_GRCh37.txt\"\r\n\t},\r\n\t{\r\n\t\tid: \"PGS000004\",\r\n\t\tname: \"PRS313_BC\",\r\n\t\ttrait_reported: \"Breast carcinoma\",\r\n\t\tvariants_number: 313,\r\n\t\tdate_release: \"2019-10-14\",\r\n\t\tlocal_file: \"data/PGS000004_hmPOS_GRCh37.txt\"\r\n\t},\r\n\t{\r\n\t\tid: \"PGS000055\",\r\n\t\tname: \"PRS_CRC\",\r\n\t\ttrait_reported: \"Colorectal cancer\",\r\n\t\tvariants_number: 76,\r\n\t\tdate_release: \"2019-07-01\",\r\n\t\tlocal_file: \"data/PGS000055_hmPOS_GRCh37.txt\"\r\n\t},\r\n\t{\r\n\t\tid: \"PGS000740\",\r\n\t\tname: \"PRS128_LC\",\r\n\t\ttrait_reported: \"Lung cancer\",\r\n\t\tvariants_number: 128,\r\n\t\tdate_release: \"2021-01-01\",\r\n\t\tlocal_file: \"data/PGS000740_hmPOS_GRCh37.txt\"\r\n\t},\r\n\t{\r\n\t\tid: \"PGS001808\",\r\n\t\tname: \"portability-PLR_191.11\",\r\n\t\ttrait_reported: \"Brain cancer\",\r\n\t\tvariants_number: 117,\r\n\t\tdate_release: \"2022-07-28\",\r\n\t\tlocal_file: \"data/PGS001808_hmPOS_GRCh37.txt\"\r\n\t}\r\n];\r\n\r\n\r\n/** Escape HTML special characters */\r\nfunction escapeHtml(str) {\r\n\tconst div = document.createElement(\"div\");\r\n\tdiv.textContent = str ?? \"\";\r\n\treturn div.innerHTML;\r\n}\r\n\r\n/** Max characters rendered in a PRS table cell before truncation. */\r\nconst MAX_CELL_CHARS = 30;\r\n\r\n/*** Escape a value for a table cell, truncating past MAX_CELL_CHARS with an ellipsis.\r\n * The untruncated value is kept in a title attribute so it stays readable on hover.\r\n * @param {any} value - Cell value\r\n * @returns {string} Escaped (and possibly truncated) HTML\r\n */\r\nfunction truncCell(value) {\r\n\tconst text = String(value ?? \"\");\r\n\tif (text.length <= MAX_CELL_CHARS) return escapeHtml(text);\r\n\tconst safe = escapeHtml(text);\r\n\t// Clickable so the full value is reachable on touch devices too: opens the\r\n\t// same closable text box as the \"?\" column badges (see colHelpPopover.js).\r\n\treturn `<span class=\"cell-more\" tabindex=\"0\" role=\"button\" title=\"${safe}\" data-help=\"${safe}\">${escapeHtml(text.slice(0, MAX_CELL_CHARS))}…</span>`;\r\n}\r\n\r\n/*** A \"?\" badge for a column header that explains what the column holds and where it\r\n * comes from. Clicking (or Enter/Space) opens a closable text box — see colHelpPopover.js.\r\n * @param {string} text - Explanation of the column\r\n * @param {{url: string, label: string}} [link] - Optional \"learn more\" link shown under the text\r\n * @returns {string} Help icon HTML\r\n */\r\nfunction colHelp(text, link) {\r\n\tconst linkAttrs = link ? ` data-help-link=\"${escapeHtml(link.url)}\" data-help-link-label=\"${escapeHtml(link.label)}\"` : \"\";\r\n\treturn ` <span class=\"col-help\" tabindex=\"0\" role=\"button\" aria-haspopup=\"true\" aria-expanded=\"false\" aria-label=\"Column help\" data-help=\"${escapeHtml(text)}\"${linkAttrs}>?</span>`;\r\n}\r\n\r\n/** Explanations shown by the \"?\" badge on each Genomic Data table column. */\r\nconst USER_COL_HELP = {\r\n\tselect: \"Include this genome in the PRS calculation. Unchecking leaves the row in the table but skips it when scores are computed.\",\r\n\tid: \"Personal Genome Project (PGP) public participant identifier (e.g. hu0F2E0D), or the name of the file you uploaded. A \\\"file N\\\" badge means the participant published several genome files and this row is one of them.\",\r\n\tname: \"Participant name as published on their PGP profile. Many participants publish anonymously, so this is often empty.\",\r\n\tethnicity: \"Self-reported ethnicity from the participant's PGP survey. Shown as \\\"-\\\" when not reported. Ancestry matters: PGS models are mostly derived from European-ancestry cohorts and transfer poorly to other groups.\",\r\n\trace: \"Self-reported race from the participant's PGP survey. Shown as \\\"-\\\" when not reported.\",\r\n\tgender: \"Self-reported gender from the participant's PGP survey. Shown as \\\"-\\\" when not reported. Some scores are sex-specific.\",\r\n\tversion: \"23andMe genotyping chip version used to produce the file (v4, v5, …). The chip determines which variants were measured, so it caps how much of a risk model can be matched. Inferred from the filename when the file does not state it.\",\r\n\tbuild: \"Reference genome assembly the variant positions are given in (e.g. 37 = GRCh37/hg19). Scoring files here are harmonized to GRCh37; a mismatched build would align positions incorrectly.\",\r\n\tpublished: \"Date the genome file was published to the PGP public data repository.\",\r\n\tgenotypes: \"How many raw genotype files this participant has published. Uploaded files always count as 1.\",\r\n\tvariantsLoaded: \"Number of genotype rows parsed from the file into memory (typically ~600k–1.6M). Stays 0 until the file has been downloaded and parsed.\",\r\n\tdownload: \"Direct link to the raw genotype text file on the PGP server. Opens in a new tab.\"\r\n};\r\n\r\n/** Explanations shown by the \"?\" badge on each Risk Models table column. */\r\nconst SCORE_COL_HELP = {\r\n\tselect: \"Include this risk model in the PRS calculation. Unchecking leaves the row in the table but skips it when scores are computed.\",\r\n\tid: \"PGS Catalog accession of the polygenic score model (e.g. PGS000004). Full details at pgscatalog.org.\",\r\n\tname: \"Model name given by the authors in the PGS Catalog.\",\r\n\ttrait: \"Trait or disease the model was built to predict, as reported by the authors (trait_reported).\",\r\n\tweightType: \"How the effect weights were derived, as reported by the scoring file / PGS Catalog (e.g. beta, log(OR), log(HR)). NR = not reported to the catalog — the weight type may still be found in the score's original publication. Never inferred from the weights themselves.\",\r\n\tvariantsNumber: \"Total number of variants in the model according to the PGS Catalog metadata.\",\r\n\tvariantsLoaded: \"Number of variant rows parsed from the harmonized (GRCh37) scoring file into memory. Stays 0 until the file has been downloaded and parsed.\",\r\n\tdate: \"Release date of the score in the PGS Catalog.\"\r\n};\r\n\r\n/*** Make an already-rendered table sortable by clicking any column header.\r\n * Sorts the tbody rows in place based on each cell's text: numeric when both\r\n * values parse as numbers, otherwise natural (locale, numeric-aware) string order.\r\n * Clicking the same header toggles ascending/descending.\r\n * @param {HTMLTableElement|null} table - The table element to enhance.\r\n */\r\nfunction makeTableSortable(table) {\r\n\tconst thead = table?.tHead;\r\n\tconst tbody = table?.tBodies?.[0];\r\n\tconst headRow = thead?.rows?.[0];\r\n\tif (!headRow || !tbody) return;\r\n\tconst ths = Array.from(headRow.cells);\r\n\tconst state = { idx: -1, dir: 1 };\r\n\tths.forEach((th, i) => {\r\n\t\tif (!th.dataset.label) th.dataset.label = th.textContent.trim();\r\n\t\tth.style.cursor = \"pointer\";\r\n\t\tth.style.userSelect = \"none\";\r\n\t\t// Neutral sort indicator to match the other tabs' tables.\r\n\t\tth.textContent = th.dataset.label + \" ⇅\";\r\n\t\tth.addEventListener(\"click\", () => {\r\n\t\t\tstate.dir = state.idx === i ? -state.dir : 1;\r\n\t\t\tstate.idx = i;\r\n\t\t\tconst val = (row) => (row.cells[i]?.textContent ?? \"\").trim();\r\n\t\t\tconst rows = Array.from(tbody.rows);\r\n\t\t\trows.sort((ra, rb) => {\r\n\t\t\t\tconst av = val(ra), bv = val(rb);\r\n\t\t\t\tconst an = Number(av.replace(/,/g, \"\")), bn = Number(bv.replace(/,/g, \"\"));\r\n\t\t\t\tconst numeric = av !== \"\" && bv !== \"\" && !Number.isNaN(an) && !Number.isNaN(bn);\r\n\t\t\t\tconst c = numeric ? (an - bn) : av.localeCompare(bv, undefined, { numeric: true, sensitivity: \"base\" });\r\n\t\t\t\treturn c * state.dir;\r\n\t\t\t});\r\n\t\t\trows.forEach((r) => tbody.appendChild(r));\r\n\t\t\tths.forEach((h) => { h.textContent = h.dataset.label + \" ⇅\"; });\r\n\t\t\tth.textContent = th.dataset.label + (state.dir === 1 ? \" ▲\" : \" ▼\");\r\n\t\t});\r\n\t});\r\n}\r\n\r\n// --- PRS results table: paginated (100 rows/page) + click-to-sort on any column ---\r\nconst PRS_RESULTS_PER_PAGE = 100;\r\n\r\n/** Parse a possibly-formatted numeric cell value; non-numeric sorts last. */\r\nfunction prsResultNum(v) {\r\n\tif (v == null || v === \"-\") return -Infinity;\r\n\tconst n = Number(String(v).replace(/,/g, \"\").replace(/%/g, \"\"));\r\n\treturn Number.isFinite(n) ? n : -Infinity;\r\n}\r\n\r\n/** Weight type reported by the scoring file for a PRS result (\"NR\" when not reported). */\r\nfunction prsWeightType(r) {\r\n\treturn String(r?.weightType ?? r?.pgs?.meta?.weight_type ?? \"NR\");\r\n}\r\n\r\n/*** Render a coverage percentage cell, flagging poorly covered scores: amber below\r\n * 50%, red below 25%. Low-coverage scores are computed on a small fraction of the\r\n * model and should not be over-interpreted.\r\n * @param {number} pct - Coverage percentage (0-100)\r\n * @param {any} display - Value to show in the cell\r\n * @returns {string} Cell HTML\r\n */\r\nfunction coverageCell(pct, display) {\r\n\tconst safe = escapeHtml(String(display));\r\n\tif (!Number.isFinite(pct) || pct >= 50) return safe;\r\n\tconst cls = pct < 25 ? \"coverage-low\" : \"coverage-mid\";\r\n\tconst note = pct < 25 ? \"Very low coverage\" : \"Low coverage\";\r\n\treturn `<span class=\"${cls}\" title=\"${note}: this score is computed on a small fraction of the model's variants.\">${safe}</span>`;\r\n}\r\n\r\n/** Column definitions for the PRS results table: label, optional sort getter, cell renderer. */\r\nconst PRS_RESULT_COLUMNS = [\r\n\t{ label: \"#\", numeric: true, cell: (r, i) => String(i + 1) },\r\n\t{ label: \"Participant ID\", help: \"PGP participant identifier (or uploaded filename) of the genome this score was computed for.\", sort: (r) => String(r.userId ?? \"\").toLowerCase(), cell: (r) => truncCell(r.userId) },\r\n\t{ label: \"Name\", help: \"Participant name from the PGP profile; often empty for anonymous participants.\", sort: (r) => String(r.userName ?? \"\").toLowerCase(), cell: (r) => truncCell(r.userName) },\r\n\t{ label: \"PGS ID\", help: \"PGS Catalog accession of the risk model scored in this row.\", sort: (r) => String(r.pgsId ?? \"\").toLowerCase(), cell: (r) => escapeHtml(r.pgsId) },\r\n\t{ label: \"PRS Score\", numeric: true, help: \"Sum of effect-allele dosage x reported effect_weight over matched variants, on the scale of the original model (not normalized).\", sort: (r) => (typeof r.PRS === \"number\" ? r.PRS : -Infinity), cell: (r) => (typeof r.PRS === \"number\" ? r.PRS.toFixed(6) : (r.PRS ?? \"-\")) },\r\n\t{ label: \"Weight Type\", help: \"weight_type reported by the PGS Catalog scoring file. NR = not reported to the catalog — the weight type may still be found in the score's original publication. Never inferred from the weights themselves.\", sort: (r) => prsWeightType(r).toLowerCase(), cell: (r) => escapeHtml(prsWeightType(r)) },\r\n\t{ label: \"Matched\", numeric: true, help: \"Model variants found in this genome and used in the score.\", sort: (r) => (r.alleles?.length ?? 0), cell: (r) => (r.alleles?.length ?? 0) },\r\n\t{ label: \"0\", numeric: true, help: \"Matched variants where the genome carries 0 copies of the effect allele.\", sort: (r) => prsResultNum(r.organized?.summary?.zeroAlleleCount), cell: (r) => (r.organized?.summary?.zeroAlleleCount ?? \"-\") },\r\n\t{ label: \"1\", numeric: true, help: \"Matched variants where the genome carries 1 copy of the effect allele.\", sort: (r) => prsResultNum(r.organized?.summary?.oneAlleleCount), cell: (r) => (r.organized?.summary?.oneAlleleCount ?? \"-\") },\r\n\t{ label: \"2\", numeric: true, help: \"Matched variants where the genome carries 2 copies of the effect allele.\", sort: (r) => prsResultNum(r.organized?.summary?.twoAlleleCount), cell: (r) => (r.organized?.summary?.twoAlleleCount ?? \"-\") },\r\n\t{ label: \"Total\", numeric: true, help: \"Total number of variants in the model's scoring file.\", sort: (r) => prsResultNum(r.totalVariants), cell: (r) => (r.totalVariants ?? \"-\") },\r\n\t{ label: \"Match %\", numeric: true, help: \"Matched / Total: share of the model's variants found in this genome. Amber below 50%, red below 25% — low values mean the score is computed on a small fraction of the model.\", sort: (r) => prsResultNum(r.organized?.summary?.matchRate), cell: (r) => coverageCell(prsResultNum(r.organized?.summary?.matchRate), r.organized?.summary?.matchRate ?? \"-\") },\r\n\t{ label: \"Weight %\", numeric: true, help: \"Fraction of the model's total absolute effect weight represented by matched variants — a weight-aware coverage measure. Amber below 50%, red below 25%.\", sort: (r) => (Number.isFinite(r.weightCoverage) ? r.weightCoverage : -Infinity), cell: (r) => (Number.isFinite(r.weightCoverage) ? coverageCell(r.weightCoverage * 100, (r.weightCoverage * 100).toFixed(2) + \"%\") : \"-\") },\r\n\t{ label: \"Src\", help: \"Where this result came from: 'cached' = restored from a previous calculation, 'new' = calculated in this session.\", sort: (r) => (r.fromCache ? 1 : 0), cell: (r) => (r.fromCache ? '<span class=\"badge bg-secondary\">cached</span>' : '<span class=\"badge bg-primary\">new</span>') },\r\n];\r\n\r\nlet _prsResults = [];\r\nlet _prsResultsDiv = null;\r\nlet _prsResultsSort = { idx: -1, dir: 1 };\r\nlet _prsResultsPage = 1;\r\n\r\n/** Public entry: render the PRS results into `resultsDiv`, resetting page and sort. */\r\nfunction renderPrsResultsTable(resultsDiv, prsResults) {\r\n\t_prsResultsDiv = resultsDiv;\r\n\t_prsResults = Array.isArray(prsResults) ? prsResults : [];\r\n\t_prsResultsPage = 1;\r\n\t_prsResultsSort = { idx: -1, dir: 1 };\r\n\t_renderPrsResultsPage();\r\n}\r\n\r\n/** Render the current page of the PRS results table, honoring the active sort. */\r\nfunction _renderPrsResultsPage() {\r\n\tconst resultsDiv = _prsResultsDiv;\r\n\tif (!resultsDiv) return;\r\n\tif (_prsResults.length === 0) {\r\n\t\tresultsDiv.innerHTML = `<p class=\"text-muted\">PRS calculation completed. Check console for details.</p>`;\r\n\t\treturn;\r\n\t}\r\n\r\n\tconst rows = _prsResults.slice();\r\n\tconst s = _prsResultsSort;\r\n\tif (s.idx >= 0 && PRS_RESULT_COLUMNS[s.idx]?.sort) {\r\n\t\tconst get = PRS_RESULT_COLUMNS[s.idx].sort;\r\n\t\trows.sort((a, b) => {\r\n\t\t\tconst av = get(a), bv = get(b);\r\n\t\t\tconst c = (typeof av === \"number\" && typeof bv === \"number\")\r\n\t\t\t\t? (av === bv ? 0 : (av < bv ? -1 : 1))\r\n\t\t\t\t: String(av).localeCompare(String(bv), undefined, { numeric: true, sensitivity: \"base\" });\r\n\t\t\treturn c * s.dir;\r\n\t\t});\r\n\t}\r\n\r\n\tconst totalPages = Math.max(1, Math.ceil(rows.length / PRS_RESULTS_PER_PAGE));\r\n\t_prsResultsPage = Math.min(Math.max(1, _prsResultsPage), totalPages);\r\n\tconst startIndex = (_prsResultsPage - 1) * PRS_RESULTS_PER_PAGE;\r\n\tconst pageRows = rows.slice(startIndex, startIndex + PRS_RESULTS_PER_PAGE);\r\n\r\n\tconst arrow = (i) => (s.idx === i ? (s.dir === 1 ? \" ▲\" : \" ▼\") : (PRS_RESULT_COLUMNS[i].sort ? \" ⇅\" : \"\"));\r\n\tconst headHtml = PRS_RESULT_COLUMNS.map((c, i) => {\r\n\t\tconst cls = c.sort ? ` class=\"prs-result-sort\" style=\"cursor:pointer;user-select:none;\"` : \"\";\r\n\t\treturn `<th data-idx=\"${i}\"${cls}>${escapeHtml(c.label)}${c.help ? colHelp(c.help) : \"\"}${arrow(i)}</th>`;\r\n\t}).join(\"\");\r\n\r\n\tconst bodyHtml = pageRows.map((r, i) => {\r\n\t\tconst cls = r.fromCache ? ' class=\"table-secondary\"' : \"\";\r\n\t\tconst cells = PRS_RESULT_COLUMNS.map((c) => `<td${c.numeric ? ' class=\"num-cell\"' : \"\"}>${c.cell(r, startIndex + i)}</td>`).join(\"\");\r\n\t\treturn `<tr${cls}>${cells}</tr>`;\r\n\t}).join(\"\");\r\n\r\n\tresultsDiv.innerHTML = `\r\n\t\t<div class=\"d-flex justify-content-end gap-2 mt-3\">\r\n\t\t\t<button class=\"btn btn-outline-secondary btn-sm\" style=\"font-size:0.7rem;padding:2px 6px;\" title=\"Full result objects, including every matched variant\" onclick=\"window.downloadRiskScoresJson && window.downloadRiskScoresJson()\">⬇ Full Results (JSON)</button>\r\n\t\t\t<button class=\"btn btn-outline-secondary btn-sm\" style=\"font-size:0.7rem;padding:2px 6px;\" title=\"The rows shown in this table\" onclick=\"window.downloadRiskScoresCsv && window.downloadRiskScoresCsv()\">⬇ Results Table (CSV)</button>\r\n\t\t</div>\r\n\t\t<div class=\"table-responsive sticky-scroll\">\r\n\t\t\t<table class=\"table table-striped table-sm mt-3\">\r\n\t\t\t\t<thead class=\"table-dark\"><tr>${headHtml}</tr></thead>\r\n\t\t\t\t<tbody>${bodyHtml}</tbody>\r\n\t\t\t</table>\r\n\t\t</div>\r\n\t\t<div class=\"d-flex justify-content-between align-items-center mt-2\">\r\n\t\t\t<span class=\"small text-muted\">${rows.length.toLocaleString()} result(s)</span>\r\n\t\t\t<div class=\"d-flex align-items-center gap-2\">\r\n\t\t\t\t<button id=\"prsResFirst\" class=\"btn btn-sm btn-outline-secondary\" ${_prsResultsPage === 1 ? \"disabled\" : \"\"}>&laquo; First</button>\r\n\t\t\t\t<button id=\"prsResPrev\" class=\"btn btn-sm btn-outline-secondary\" ${_prsResultsPage === 1 ? \"disabled\" : \"\"}>&lsaquo; Previous</button>\r\n\t\t\t\t<span class=\"small text-muted\">Page ${_prsResultsPage} of ${totalPages}</span>\r\n\t\t\t\t<button id=\"prsResNext\" class=\"btn btn-sm btn-outline-secondary\" ${_prsResultsPage >= totalPages ? \"disabled\" : \"\"}>Next &rsaquo;</button>\r\n\t\t\t\t<button id=\"prsResLast\" class=\"btn btn-sm btn-outline-secondary\" ${_prsResultsPage >= totalPages ? \"disabled\" : \"\"}>Last &raquo;</button>\r\n\t\t\t</div>\r\n\t\t</div>\r\n\t\t<details class=\"mt-2\">\r\n\t\t\t<summary>Raw JSON</summary>\r\n\t\t\t<pre class=\"small\">${escapeHtml(JSON.stringify(_prsResults, null, 2))}</pre>\r\n\t\t</details>`;\r\n\r\n\tresultsDiv.querySelectorAll(\"th.prs-result-sort\").forEach((th) => {\r\n\t\tth.addEventListener(\"click\", (e) => {\r\n\t\t\tif (e.target.closest?.(\".col-help\")) return; // \"?\" badge: opens help box, don't sort\r\n\t\t\tconst i = Number(th.dataset.idx);\r\n\t\t\tif (_prsResultsSort.idx === i) _prsResultsSort.dir = -_prsResultsSort.dir;\r\n\t\t\telse { _prsResultsSort.idx = i; _prsResultsSort.dir = 1; }\r\n\t\t\t_prsResultsPage = 1;\r\n\t\t\t_renderPrsResultsPage();\r\n\t\t});\r\n\t});\r\n\tconst byId = (id) => document.getElementById(id);\r\n\tbyId(\"prsResFirst\")?.addEventListener(\"click\", () => { _prsResultsPage = 1; _renderPrsResultsPage(); });\r\n\tbyId(\"prsResPrev\")?.addEventListener(\"click\", () => { _prsResultsPage -= 1; _renderPrsResultsPage(); });\r\n\tbyId(\"prsResNext\")?.addEventListener(\"click\", () => { _prsResultsPage += 1; _renderPrsResultsPage(); });\r\n\tbyId(\"prsResLast\")?.addEventListener(\"click\", () => { _prsResultsPage = totalPages; _renderPrsResultsPage(); });\r\n}\r\n\r\n/** Collect the values of all checked checkboxes matching a selector into a Set. */\r\nfunction getCheckedIds(selector) {\r\n\treturn new Set(Array.from(document.querySelectorAll(selector + \":checked\")).map(cb => cb.value));\r\n}\r\n\r\n/*** Resolve the genome file path for a user, checking the various shapes a user object can take.\r\n * @param {Object} user - User/participant object\r\n * @returns {string|null} File path/URL or null if none found\r\n */\r\nfunction resolveUserFilePath(user) {\r\n\tconst genos = user?.genotypes ?? [];\r\n\treturn user?.downloadUrl\r\n\t\t?? user?.download_url\r\n\t\t?? user?.url\r\n\t\t?? genos[0]?.download_url\r\n\t\t?? genos[0]?.file\r\n\t\t?? null;\r\n}\r\n\r\n/*** Build the inner HTML for the PGS scores table.\r\n * @param {Object[]} scores - Score metadata objects\r\n * @param {Object[]} [txts=[]] - Parsed PGS txt objects (used for the \"Variants Loaded\" column)\r\n * @returns {string} Table HTML\r\n */\r\nfunction renderScoresTable(scores, txts = []) {\r\n\tconst rows = scores.map((score, idx) => {\r\n\t\tconst id = escapeHtml(score?.id ?? \"\");\r\n\t\tconst name = truncCell(score?.name);\r\n\t\tconst trait = truncCell(score?.trait_reported);\r\n\t\tconst variants = escapeHtml(score?.variants_number ?? \"\");\r\n\t\tconst date = escapeHtml(score?.date_release ?? \"\");\r\n\t\tconst loadedTxt = txts.find(t => (t?.id ?? t?.meta?.pgs_id) === score.id);\r\n\t\tconst variantsLoaded = loadedTxt?.dt?.length ?? 0;\r\n\t\t// Reported by the scoring file header (`#weight_type=`), or by the catalog metadata\r\n\t\t// before the file is loaded. \"NR\" = not reported; never inferred from the weights.\r\n\t\tconst weightType = escapeHtml(loadedTxt?.meta?.weight_type ?? score?.weight_type ?? \"NR\");\r\n\t\treturn `\r\n\t\t\t<tr>\r\n\t\t\t\t<td>${idx + 1}</td>\r\n\t\t\t\t<td><input type=\"checkbox\" class=\"form-check-input prs-select-cb\" value=\"${id}\" checked /></td>\r\n\t\t\t\t<td>${id}</td>\r\n\t\t\t\t<td>${name}</td>\r\n\t\t\t\t<td>${trait}</td>\r\n\t\t\t\t<td>${weightType}</td>\r\n\t\t\t\t<td class=\"num-cell\">${variants}</td>\r\n\t\t\t\t<td class=\"num-cell\">${variantsLoaded.toLocaleString()}</td>\r\n\t\t\t\t<td>${date}</td>\r\n\t\t\t</tr>`;\r\n\t}).join(\"\");\r\n\r\n\treturn `\r\n\t\t<div class=\"d-flex justify-content-end gap-2 mt-3\">\r\n\t\t\t<button class=\"btn btn-outline-secondary btn-sm\" style=\"font-size:0.7rem;padding:2px 6px;\" title=\"Catalog record plus the full scoring-file header (#key=value) for each model — not the variant rows\" onclick=\"window.downloadRiskModelsJson && window.downloadRiskModelsJson()\">⬇ Model Metadata (JSON)</button>\r\n\t\t\t<button class=\"btn btn-outline-secondary btn-sm\" style=\"font-size:0.7rem;padding:2px 6px;\" title=\"The rows shown in this table\" onclick=\"window.downloadRiskModelsCsv && window.downloadRiskModelsCsv()\">⬇ Models Table (CSV)</button>\r\n\t\t</div>\r\n\t\t<table class=\"table table-striped table-sm mt-3\">\r\n\t\t\t<thead class=\"table-dark\">\r\n\t\t\t\t<tr>\r\n\t\t\t\t\t<th>#</th>\r\n\t\t\t\t\t<th>Select${colHelp(SCORE_COL_HELP.select)}</th>\r\n\t\t\t\t\t<th>PGS ID${colHelp(SCORE_COL_HELP.id)}</th>\r\n\t\t\t\t\t<th>Name${colHelp(SCORE_COL_HELP.name)}</th>\r\n\t\t\t\t\t<th>Trait${colHelp(SCORE_COL_HELP.trait)}</th>\r\n\t\t\t\t\t<th>Weight Type${colHelp(SCORE_COL_HELP.weightType)}</th>\r\n\t\t\t\t\t<th>Variants #${colHelp(SCORE_COL_HELP.variantsNumber)}</th>\r\n\t\t\t\t\t<th>Variants Loaded${colHelp(SCORE_COL_HELP.variantsLoaded)}</th>\r\n\t\t\t\t\t<th>Date${colHelp(SCORE_COL_HELP.date)}</th>\r\n\t\t\t\t</tr>\r\n\t\t\t</thead>\r\n\t\t\t<tbody>${rows}</tbody>\r\n\t\t</table>`;\r\n}\r\n\r\n/*** Build the inner HTML for the users/participants table.\r\n * @param {Object[]} users - User/participant objects to display\r\n * @param {Object[]} loaded - Loaded { user, parsed } entries (used for \"Variants Loaded\")\r\n * @returns {string} Table HTML\r\n */\r\nfunction renderUsersTable(users, loaded) {\r\n\tconst rows = users.map((user, idx) => {\r\n\t\tconst id = escapeHtml(user?.id ?? user?.participant_id ?? \"\");\r\n\t\tconst displayId = truncCell(user?.participant_id ?? user?.id ?? \"\");\r\n\t\tconst fileTag = (user?.participant_id != null && user?.id !== user?.participant_id && user?._fileIndex != null)\r\n\t\t\t? ` <span class=\"badge bg-secondary rounded-pill\">file ${user._fileIndex + 1}</span>`\r\n\t\t\t: \"\";\r\n\t\tconst name = truncCell(user?.name);\r\n\t\tconst ethnicity = truncCell(user?.ethnicity);\r\n\t\tconst race = truncCell(user?.race);\r\n\t\tconst gender = truncCell(user?.gender);\r\n\t\tconst published = escapeHtml(user?.publishedDate ?? user?.published_date ?? user?.date ?? \"\");\r\n\t\tconst genos = user?.genotypes ?? [];\r\n\t\tconst filename = user?.fileName ?? user?.filename ?? genos?.[0]?.filename ?? \"\";\r\n\t\tconst inferredVersion = (() => {\r\n\t\t\tconst m = String(filename).match(/_v(\\d+)_/i);\r\n\t\t\treturn m ? `v${m[1]}` : \"\";\r\n\t\t})();\r\n\t\tconst version = escapeHtml(user?.version ?? genos?.[0]?.version ?? inferredVersion ?? \"\");\r\n\t\tconst build = escapeHtml(user?.build ?? genos?.[0]?.build ?? \"\");\r\n\t\tconst downloadUrl = resolveUserFilePath(user) ?? user?.finalUrl ?? \"\";\r\n\t\t// Uploaded files have no genotypes array; count the file itself.\r\n\t\tconst genoCount = genos.length || (downloadUrl || filename ? 1 : 0);\r\n\t\tconst downloadHtml = downloadUrl ? `<a href=\"${escapeHtml(downloadUrl)}\" target=\"_blank\" rel=\"noopener\">Download</a>` : \"-\";\r\n\t\tconst loadedData = loaded.find(d => d.user.id === user.id);\r\n\t\tconst variantCount = loadedData?.parsed?.dt?.length ?? 0;\r\n\t\treturn `\r\n\t\t\t<tr>\r\n\t\t\t\t<td>${idx + 1}</td>\r\n\t\t\t\t<td><input type=\"checkbox\" class=\"form-check-input prs-user-select-cb\" value=\"${id}\" checked /></td>\r\n\t\t\t\t<td>${displayId}${fileTag}</td>\r\n\t\t\t\t<td>${name}</td>\r\n\t\t\t\t<td>${ethnicity || \"-\"}</td>\r\n\t\t\t\t<td>${race || \"-\"}</td>\r\n\t\t\t\t<td>${gender || \"-\"}</td>\r\n\t\t\t\t<td>${version || \"-\"}</td>\r\n\t\t\t\t<td>${build || \"-\"}</td>\r\n\t\t\t\t<td>${published}</td>\r\n\t\t\t\t<td class=\"num-cell\">${genoCount}</td>\r\n\t\t\t\t<td class=\"num-cell\">${variantCount.toLocaleString()}</td>\r\n\t\t\t\t<td>${downloadHtml}</td>\r\n\t\t\t</tr>`;\r\n\t}).join(\"\");\r\n\r\n\treturn `\r\n\t\t<table class=\"table table-striped table-sm mt-3\">\r\n\t\t\t<thead class=\"table-dark\">\r\n\t\t\t\t<tr>\r\n\t\t\t\t\t<th>#</th>\r\n\t\t\t\t\t<th>Select${colHelp(USER_COL_HELP.select)}</th>\r\n\t\t\t\t\t<th>Participant ID${colHelp(USER_COL_HELP.id)}</th>\r\n\t\t\t\t\t<th>Name${colHelp(USER_COL_HELP.name)}</th>\r\n\t\t\t\t\t<th>Ethnicity${colHelp(USER_COL_HELP.ethnicity)}</th>\r\n\t\t\t\t\t<th>Race${colHelp(USER_COL_HELP.race)}</th>\r\n\t\t\t\t\t<th>Gender${colHelp(USER_COL_HELP.gender)}</th>\r\n\t\t\t\t\t<th>Version${colHelp(USER_COL_HELP.version, NOTEBOOKS.chipClassification)}</th>\r\n\t\t\t\t\t<th>Build${colHelp(USER_COL_HELP.build, NOTEBOOKS.pgpFiles)}</th>\r\n\t\t\t\t\t<th>Published Date${colHelp(USER_COL_HELP.published)}</th>\r\n\t\t\t\t\t<th>Genotypes #${colHelp(USER_COL_HELP.genotypes)}</th>\r\n\t\t\t\t\t<th>Variants Loaded${colHelp(USER_COL_HELP.variantsLoaded)}</th>\r\n\t\t\t\t\t<th>Download${colHelp(USER_COL_HELP.download)}</th>\r\n\t\t\t\t</tr>\r\n\t\t\t</thead>\r\n\t\t\t<tbody>${rows}</tbody>\r\n\t\t</table>`;\r\n}\r\n\r\n/*** Every user that belongs in the PRS users table: the Genomic Data tab selection\r\n * (uploaded files / PGP participants) merged with users loaded here (examples / fetched).\r\n * Deduplicated by id so neither source can drop the other.\r\n * @returns {Object[]} User objects\r\n */\r\nfunction getPrsDisplayUsers() {\r\n\tconst merged = [];\r\n\tconst seen = new Set();\r\n\tconst add = (user) => {\r\n\t\tconst id = user?.id ?? user?.participant_id;\r\n\t\tif (!id || seen.has(id)) return;\r\n\t\tseen.add(id);\r\n\t\tmerged.push(user);\r\n\t};\r\n\t(window.getSelectedUsers?.() ?? []).forEach(add);\r\n\t(Array.isArray(loadedUsers) ? loadedUsers : []).forEach(entry => add(entry?.user));\r\n\treturn merged;\r\n}\r\n\r\n/*** Loaded { user, parsed } entries for every displayed user whose genome data is already\r\n * available — either loaded here, or pre-parsed on an uploaded file object.\r\n * @returns {Object[]} Array of { user, parsed }\r\n */\r\nfunction getPrsLoadedEntries() {\r\n\tconst entries = Array.isArray(loadedUsers) ? loadedUsers.slice() : [];\r\n\tconst seen = new Set(entries.map(d => d?.user?.id ?? d?.user?.participant_id).filter(Boolean));\r\n\tfor (const user of getPrsDisplayUsers()) {\r\n\t\tconst id = user?.id ?? user?.participant_id;\r\n\t\tif (!id || seen.has(id)) continue;\r\n\t\tif (user?._parsed?.dt?.length > 0) {\r\n\t\t\tentries.push({ user, parsed: user._parsed });\r\n\t\t\tseen.add(id);\r\n\t\t}\r\n\t}\r\n\treturn entries;\r\n}\r\n\r\n/*** Score metadata for every risk model whose scoring file is already parsed — either\r\n * loaded here, or fetched from the Select Risk Models tab into window.loadedPgsTxts.\r\n * Mirrors getPrsLoadedEntries() for users: without this, a model fetched in tab 2 is\r\n * absent from loadedScores and gets reported as \"0 already loaded\" then re-fetched.\r\n * @returns {Object[]} Array of score metadata objects\r\n */\r\nfunction getPrsLoadedScores() {\r\n\tconst scores = Array.isArray(loadedScores) ? loadedScores.slice() : [];\r\n\tconst seen = new Set(scores.map(s => s?.id).filter(Boolean));\r\n\tconst metaById = new Map(\r\n\t\t(window.getSelectedScores?.() ?? []).filter(s => s?.id).map(s => [s.id, s])\r\n\t);\r\n\tfor (const txt of Array.isArray(window.loadedPgsTxts) ? window.loadedPgsTxts : []) {\r\n\t\tconst id = txt?.id ?? txt?.meta?.pgs_id;\r\n\t\tif (!id || seen.has(id) || !(txt?.dt?.length > 0)) continue;\r\n\t\tscores.push(metaById.get(id) ?? { id });\r\n\t\tseen.add(id);\r\n\t}\r\n\treturn scores;\r\n}\r\n\r\n/*** Every risk model that belongs in the PRS scores table: the Select Risk Models tab\r\n * selection merged with models loaded here (examples / fetched). Deduplicated by id so\r\n * neither source can drop the other.\r\n * @returns {Object[]} Score metadata objects\r\n */\r\nfunction getPrsDisplayScores() {\r\n\tconst merged = [];\r\n\tconst seen = new Set();\r\n\tconst add = (score) => {\r\n\t\tconst id = score?.id;\r\n\t\tif (!id || seen.has(id)) return;\r\n\t\tseen.add(id);\r\n\t\tmerged.push(score);\r\n\t};\r\n\t(window.getSelectedScores?.() ?? []).forEach(add);\r\n\tgetPrsLoadedScores().forEach(add);\r\n\treturn merged;\r\n}\r\n\r\n/*** Single render path for #prsScoresAction. Called by the Select Risk Models tab whenever\r\n * the selection changes, and by fetchScores / loadExampleScores, so selected models and\r\n * example models always appear together instead of overwriting each other. */\r\nfunction renderPrsScoresTable() {\r\n\tconst container = document.getElementById(\"prsScoresAction\");\r\n\tif (!container) return;\r\n\tconst scores = getPrsDisplayScores();\r\n\tif (scores.length === 0) {\r\n\t\tcontainer.innerHTML = \"\";\r\n\t\treturn;\r\n\t}\r\n\tcontainer.innerHTML = renderScoresTable(scores, window.loadedPgsTxts ?? []);\r\n}\r\nwindow.renderPrsScoresTable = renderPrsScoresTable;\r\n\r\n/*** Single render path for #prsUsersAction. Called by the Genomic Data tab whenever the\r\n * selection changes, and by fetchUsers / loadExampleUsers, so uploads, PGP participants\r\n * and example users always appear together instead of overwriting each other. */\r\nfunction renderPrsUsersTable() {\r\n\tconst container = document.getElementById(\"prsUsersAction\");\r\n\tif (!container) return;\r\n\tconst users = getPrsDisplayUsers();\r\n\tif (users.length === 0) {\r\n\t\tcontainer.innerHTML = \"\";\r\n\t\treturn;\r\n\t}\r\n\tcontainer.innerHTML = renderUsersTable(users, getPrsLoadedEntries());\r\n}\r\nwindow.renderPrsUsersTable = renderPrsUsersTable;\r\n\r\n/*** Drop users from the loaded set, so unselecting them in the Genomic Data tab also\r\n * removes them from the PRS users table and the calculation.\r\n * @param {string[]} ids - User ids to remove\r\n */\r\nwindow.removeLoadedUsers = function (ids) {\r\n\tconst drop = new Set(ids ?? []);\r\n\tif (drop.size === 0) return;\r\n\tloadedUsers = (Array.isArray(loadedUsers) ? loadedUsers : []).filter(d => !drop.has(d?.user?.id));\r\n\twindow.loadedUsers = loadedUsers;\r\n};\r\n\r\n/*** Load and parse a list of PGS scoring files.\r\n * Reuses each score's pre-parsed data when present; the rest are fetched one id\r\n * at a time via getPgsTxt() (fetch + parse + cache).\r\n * Returns { score, parsed } entries, skipping any that fail to parse.\r\n * @param {Object[]} scores - Score metadata objects (each with an .id)\r\n * @returns {Promise<Object[]>} Array of { score, parsed }\r\n */\r\nasync function loadScoresFromList(scores, onProgress = null) {\r\n\tconst results = [];\r\n\tconst toFetch = [];\r\n\tlet completed = 0;\r\n\tconst total = scores.length;\r\n\tconst reportProgress = () => {\r\n\t\tif (typeof onProgress === \"function\") onProgress(completed, total);\r\n\t};\r\n\treportProgress();\r\n\tfor (const score of scores) {\r\n\t\t// Reuse pre-parsed data if present (e.g., pre-loaded elsewhere)\r\n\t\tif (score?._parsed && score._parsed.dt && score._parsed.dt.length > 0) {\r\n\t\t\tconsole.log(`Using pre-parsed data for ${score.id}: ${score._parsed.dt.length} variants`);\r\n\t\t\tresults.push({ score, parsed: score._parsed });\r\n\t\t\tcompleted += 1;\r\n\t\t\treportProgress();\r\n\t\t} else {\r\n\t\t\ttoFetch.push(score);\r\n\t\t}\r\n\t}\r\n\r\n\tif (toFetch.length > 0) {\r\n\t\t// Load one score at a time so progress can be updated per score.\r\n\t\t// Pass the genome build selected in the Select Risk Models tab (37/38) so\r\n\t\t// the fetch and its cache key match what fetchScoresTxts() used.\r\n\t\tconst build = window.getPgsBuild?.() ?? 37;\r\n\t\tfor (const score of toFetch) {\r\n\t\t\tlet parsed = null;\r\n\t\t\ttry {\r\n\t\t\t\tconst result = await getPgsTxt(score.id, undefined, true, build);\r\n\t\t\t\tparsed = Array.isArray(result) ? result[0] : result;\r\n\t\t\t} catch (err) {\r\n\t\t\t\tconsole.warn(`Catalog fetch failed for ${score?.id}:`, err);\r\n\t\t\t}\r\n\t\t\t// A failed download can surface as an error string or an empty parse;\r\n\t\t\t// treat anything without variant rows as a miss.\r\n\t\t\tif (!(parsed?.dt?.length > 0)) parsed = null;\r\n\t\t\t// Fall back to the copy bundled with the app (data/PGSxxxxxx_hmPOS_GRCh37.txt)\r\n\t\t\t// so the example models still load when the PGS Catalog file server is\r\n\t\t\t// unreachable. Bundled copies are GRCh37 only.\r\n\t\t\tif (!parsed && score?.local_file && build === 37) {\r\n\t\t\t\ttry {\r\n\t\t\t\t\tconst resp = await fetch(score.local_file);\r\n\t\t\t\t\tif (!resp.ok) throw new Error(`HTTP ${resp.status}`);\r\n\t\t\t\t\t// Normalize CRLF line endings (git checkout on Windows) so the\r\n\t\t\t\t\t// parser doesn't produce empty phantom rows that inflate totals.\r\n\t\t\t\t\tconst text = (await resp.text()).replace(/\\r/g, \"\");\r\n\t\t\t\t\tparsed = await parseScore(score.id, text);\r\n\t\t\t\t\tconsole.warn(`Loaded ${score.id} from bundled copy ${score.local_file} (catalog fetch failed).`);\r\n\t\t\t\t} catch (err) {\r\n\t\t\t\t\tconsole.error(`Bundled copy also failed for ${score?.id}:`, err);\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\tif (parsed?.dt?.length > 0) {\r\n\t\t\t\tresults.push({ score, parsed });\r\n\t\t\t} else {\r\n\t\t\t\tconsole.error(`Failed to load scoring file ${score?.id}`);\r\n\t\t\t}\r\n\t\t\tcompleted += 1;\r\n\t\t\treportProgress();\r\n\t\t}\r\n\t}\r\n\r\n\treturn results;\r\n}\r\n\r\n/*** Fetch selected PGS scoring files, parse them, and display them in a table.\r\n * Called when the user clicks the \"Fetch Files\" button.\r\n * Mirrors fetchUsers(): resolves selection (or example), parses each file\r\n * (with caching + pre-parsed reuse), and populates loadedScores + window.loadedPgsTxts.\r\n * Uses example data when offline or nothing is selected. */\r\nasync function fetchScores() {\r\n\tconst statusEl = document.getElementById(\"prsScoresDiv\");\r\n\tconst resultsDiv = document.getElementById(\"prsScoresAction\");\r\n\tconst loadStartMs = performance.now();\r\n\tsetProgressBar(\"scores\", statusEl, 0);\r\n\r\n\r\n\ttry {\r\n\t\t// Get selected scores from the Select Risk Models tab (if available), defined in displayScores.js\r\n\t\tconst selectedScores = window.getSelectedScores?.() ?? [];\r\n\t\tconsole.log(`fetchScores(): Selected scores from window.getSelectedScores():`, selectedScores);\r\n\r\n\t\tif (selectedScores.length === 0) {\r\n\t\t\tif (statusEl) statusEl.textContent = \"Please select at least one scoring file.\";\r\n\t\t\tif (resultsDiv) resultsDiv.innerHTML = \"\";\r\n\t\t\tsetProgressBar(\"scores\", statusEl, 0);\r\n\t\t\treturn;\r\n\t\t}\r\n\t\tif (statusEl) statusEl.textContent = `Fetching and parsing ${selectedScores.length} scoring file(s)...`;\r\n\t\tsetProgressBar(\"scores\", statusEl, 10);\r\n\r\n\t\t// Parse scoring files for all selected scores (getPgsTxt handles fetch, parse, and caching)\r\n\t\tconst added = await loadScoresFromList(selectedScores, (done, total) => {\r\n\t\t\tconst pct = total > 0 ? 10 + (done / total) * 80 : 90;\r\n\t\t\tsetProgressBar(\"scores\", statusEl, pct);\r\n\t\t});\r\n\r\n\t\t// Populate loadedScores (metadata) so calculatePRS builds selectedIds correctly\r\n\t\tloadedScores = added.map(a => a.score);\r\n\r\n\t\t// Populate window.loadedPgsTxts (parsed) so calculatePRS reuses them without refetching\r\n\t\twindow.loadedPgsTxts = added.map(a => a.parsed);\r\n\r\n\t\tconst elapsedSec = ((performance.now() - loadStartMs) / 1000).toFixed(2);\r\n\t\tif (statusEl) {\r\n\t\t\tstatusEl.textContent = `Loaded ${loadedScores.length} of ${selectedScores.length} scoring file(s) in ${elapsedSec}s.`;\r\n\t\t\tconst failedCount = selectedScores.length - added.length;\r\n\t\t\tif (failedCount > 0) statusEl.innerHTML += ` <span class=\"text-danger\">${failedCount} model(s) failed to load — the PGS Catalog file server may be unreachable. See the browser console for details.</span>`;\r\n\t\t}\r\n\t\tsetProgressBar(\"scores\", statusEl, 100);\r\n\r\n\t\t// Render table\r\n\t\trenderPrsScoresTable();\r\n\r\n\t\tconsole.log(\"fetchScores() loadedScores:\", loadedScores);\r\n\r\n\t\t// Update cluster page\r\n\t\tif (typeof window.renderCluster === \"function\") {\r\n\t\t\twindow.renderCluster();\r\n\t\t}\r\n\t} catch (err) {\r\n\t\tconsole.error(\"fetchScores error:\", err);\r\n\t\tif (statusEl) statusEl.textContent = `Error: ${err.message}`;\r\n\t\tsetProgressBar(\"scores\", statusEl, 100);\r\n\t}\r\n}\r\nwindow.fetchScores = fetchScores;\r\n\r\n\r\n\r\n/*** Load and parse a list of user genome files.\r\n * For each user: reuses pre-parsed data if present, otherwise resolves the file\r\n * path and loads it via get23Txt (which caches internally under\r\n * \"Genome:23andMe-txt-*\"). Returns { user, parsed } entries, skipping failures.\r\n *\r\n * Like loadScoresFromList, genomes are loaded one file at a time — get23Txt\r\n * fetches, parses, and cache-checks each file individually.\r\n * @param {Object[]} users - User/participant objects\r\n * @returns {Promise<Object[]>} Array of { user, parsed }\r\n */\r\nasync function loadUsersFromList(users, onProgress = null) {\r\n\tconst results = [];\r\n\tlet completed = 0;\r\n\tconst total = users.length;\r\n\tconst reportProgress = () => {\r\n\t\tif (typeof onProgress === \"function\") onProgress(completed, total);\r\n\t};\r\n\treportProgress();\r\n\r\n\tfor (const user of users) {\r\n\t\t// Check if user already has parsed data (e.g., from uploaded file)\r\n\t\tif (user?._parsed && user._parsed.dt && user._parsed.dt.length > 0) {\r\n\t\t\tconsole.log(`Using pre-parsed data for ${user.id}: ${user._parsed.dt.length} variants`);\r\n\t\t\tresults.push({ user, parsed: user._parsed });\r\n\t\t\tcompleted += 1;\r\n\t\t\treportProgress();\r\n\t\t\tcontinue;\r\n\t\t}\r\n\r\n\t\tconst filePath = resolveUserFilePath(user);\r\n\t\tif (!filePath) {\r\n\t\t\tconsole.warn(`No file path or pre-parsed data for user ${user?.id}`);\r\n\t\t\tcompleted += 1;\r\n\t\t\treportProgress();\r\n\t\t\tcontinue;\r\n\t\t}\r\n\t\ttry {\r\n\t\t\tconst parsed = await get23Txt(filePath, user.id);\r\n\t\t\tresults.push({ user, parsed });\r\n\t\t} catch (err) {\r\n\t\t\tconsole.error(`Failed to load genome for ${user.id}:`, err);\r\n\t\t}\r\n\t\tcompleted += 1;\r\n\t\treportProgress();\r\n\t}\r\n\r\n\treturn results;\r\n}\r\n\r\n/*** Fetch selected users, display them in a table, and parse their genome files.\r\n * Called when the user clicks the \"Fetch Users\" button in the PRS tab.\r\n * Uses example data when offline or nothing is selected. */\r\nasync function fetchUsers() {\r\n    console.log(\"fetchUsers() called\");\r\n\tconst statusEl = document.getElementById(\"prsUsersdiv\");\r\n\tconst resultsDiv = document.getElementById(\"prsUsersAction\");\r\n\tconst loadStartMs = performance.now();\r\n\tsetProgressBar(\"users\", statusEl, 0);\r\n\r\n\t// Tab-1 \"Load File(s)\" button + inline loading bar feedback.\r\n\tconst btn = document.getElementById(\"fetchUsersBtn\");\r\n\tconst btnOriginalHtml = btn ? btn.innerHTML : null;\r\n\tconst progressWrap = document.getElementById(\"fetchUsersProgressWrap\");\r\n\tconst progressBar = document.getElementById(\"fetchUsersProgressBar\");\r\n\tconst tab1Status = document.getElementById(\"fetchUsersStatus\");\r\n\tconst setTab1Progress = (pct) => {\r\n\t\tif (!progressBar) return;\r\n\t\tconst p = Math.max(0, Math.min(100, pct));\r\n\t\tprogressBar.style.width = `${p}%`;\r\n\t\tprogressBar.setAttribute(\"aria-valuenow\", String(Math.round(p)));\r\n\t};\r\n\tconst setTab1Status = (msg, kind = \"muted\") => {\r\n\t\tif (!tab1Status) return;\r\n\t\tconst cls = kind === \"error\" ? \"text-danger\" : kind === \"success\" ? \"text-success\" : \"text-muted\";\r\n\t\ttab1Status.className = `small mt-1 ${cls}`;\r\n\t\ttab1Status.innerHTML = msg;\r\n\t};\r\n\r\n\t// Put the button into a loading state (spinner + disabled) and reveal the bar.\r\n\tif (btn) {\r\n\t\tbtn.disabled = true;\r\n\t\tbtn.classList.remove(\"btn-danger\", \"btn-success\");\r\n\t\tbtn.classList.add(\"btn-secondary\");\r\n\t\tbtn.innerHTML = `<span class=\"spinner-border spinner-border-sm me-1\" role=\"status\" aria-hidden=\"true\"></span>Loading…`;\r\n\t}\r\n\tif (progressWrap) progressWrap.style.display = \"\";\r\n\tif (progressBar) {\r\n\t\tprogressBar.classList.remove(\"bg-danger\");\r\n\t\tprogressBar.classList.add(\"bg-success\", \"progress-bar-animated\");\r\n\t}\r\n\tsetTab1Progress(0);\r\n\r\n\ttry {\r\n\t\t// Get selected users from the 23andMe Data tab\r\n\t\tconst selectedUsers = window.getSelectedUsers?.() ?? [];\r\n\t\tconsole.log(`fetchUsers(): Selected users from window.getSelectedUsers():`, selectedUsers);\r\n\r\n\t\tif (selectedUsers.length === 0) {\r\n\t\t\tif (statusEl) statusEl.textContent = \"Please select at least one participant in the 23andMe Data tab.\";\r\n\t\t\tif (resultsDiv) resultsDiv.innerHTML = \"\";\r\n\t\t\tsetProgressBar(\"users\", statusEl, 0);\r\n\t\t\tsetTab1Progress(0);\r\n\t\t\tsetTab1Status(\"Please select at least one 23andMe file above before loading.\", \"error\");\r\n\t\t\tif (btn) {\r\n\t\t\t\tbtn.classList.remove(\"btn-secondary\", \"btn-success\");\r\n\t\t\t\tbtn.classList.add(\"btn-danger\");\r\n\t\t\t\tbtn.innerHTML = btnOriginalHtml ?? \"Load File(s)\";\r\n\t\t\t}\r\n\t\t\treturn;\r\n\t\t}\r\n\t\tif (statusEl) statusEl.textContent = `Fetching and parsing ${selectedUsers.length} participant genome file(s)...`;\r\n\t\tsetProgressBar(\"users\", statusEl, 10);\r\n\t\tsetTab1Progress(5);\r\n\t\tsetTab1Status(`Loading 0 of ${selectedUsers.length} file(s)…`);\r\n\r\n\t\t// Parse genome files for all selected users, keeping any users already loaded\r\n\t\t// here (e.g. example participants) so fetching does not drop them.\r\n\t\tconst existing = Array.isArray(loadedUsers) ? loadedUsers.slice() : [];\r\n\t\tconst fetched = await loadUsersFromList(selectedUsers, (done, total) => {\r\n\t\t\tconst pct = total > 0 ? 10 + (done / total) * 80 : 90;\r\n\t\t\tsetProgressBar(\"users\", statusEl, pct);\r\n\t\t\tsetTab1Progress(pct);\r\n\t\t\tsetTab1Status(`Loading ${done} of ${total} file(s)…`);\r\n\t\t});\r\n\t\tconst fetchedIds = new Set(fetched.map(d => d?.user?.id).filter(Boolean));\r\n\t\tloadedUsers = existing.filter(d => !fetchedIds.has(d?.user?.id)).concat(fetched);\r\n\t\twindow.loadedUsers = loadedUsers; // expose for cluster tab\r\n\r\n\t\tconst loadedFilesCount = document.getElementById('loadedFilesCount');\r\n\t\tif (loadedFilesCount) {\r\n\t\t\tloadedFilesCount.textContent = `Loaded Data: ${fetched.length} / ${selectedUsers.length}`;\r\n\t\t\tloadedFilesCount.style.display = '';\r\n\t\t}\r\n\r\n\t\tconst elapsedSec = ((performance.now() - loadStartMs) / 1000).toFixed(2);\r\n\t\tif (statusEl) statusEl.textContent = `Loaded ${fetched.length} of ${selectedUsers.length} participant(s) in ${elapsedSec}s.`;\r\n\t\tsetProgressBar(\"users\", statusEl, 100);\r\n\r\n\t\t// Tab-1 completion feedback, with error comments for any files that failed.\r\n\t\tsetTab1Progress(100);\r\n\t\tif (progressBar) progressBar.classList.remove(\"progress-bar-animated\");\r\n\t\tconst failedCount = selectedUsers.length - fetched.length;\r\n\t\tif (failedCount > 0) {\r\n\t\t\tif (progressBar) progressBar.classList.replace(\"bg-success\", \"bg-danger\");\r\n\t\t\tsetTab1Status(`Loaded ${fetched.length} of ${selectedUsers.length} file(s) in ${elapsedSec}s. <span class=\"fw-semibold\">${failedCount} file(s) failed to load</span> — the PGP file server may be unreachable. See the browser console for details.`, \"error\");\r\n\t\t\tif (btn) {\r\n\t\t\t\tbtn.classList.remove(\"btn-secondary\", \"btn-success\");\r\n\t\t\t\tbtn.classList.add(\"btn-danger\");\r\n\t\t\t\tbtn.innerHTML = `<i class=\"fa fa-exclamation-triangle me-1\"></i>Retry Load`;\r\n\t\t\t}\r\n\t\t} else {\r\n\t\t\tsetTab1Status(`Loaded ${fetched.length} of ${selectedUsers.length} file(s) in ${elapsedSec}s.`, \"success\");\r\n\t\t\tif (btn) {\r\n\t\t\t\tbtn.classList.remove(\"btn-danger\", \"btn-success\");\r\n\t\t\t\tbtn.classList.add(\"btn-secondary\");\r\n\t\t\t\tbtn.innerHTML = `<i class=\"fa fa-check me-1\"></i>Loaded`;\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\t// Render table\r\n\t\trenderPrsUsersTable();\r\n\r\n\t\tconsole.log(\"fetchUsers() loadedUsers:\", loadedUsers);\r\n\t} catch (err) {\r\n\t\tconsole.error(\"fetchUsers error:\", err);\r\n\t\tif (statusEl) statusEl.textContent = `Error: ${err.message}`;\r\n\t\tsetProgressBar(\"users\", statusEl, 100);\r\n\t\tif (progressBar) {\r\n\t\t\tprogressBar.classList.remove(\"progress-bar-animated\");\r\n\t\t\tprogressBar.classList.replace(\"bg-success\", \"bg-danger\");\r\n\t\t}\r\n\t\tsetTab1Progress(100);\r\n\t\tsetTab1Status(`Error loading files: ${err.message}`, \"error\");\r\n\t\tif (btn) {\r\n\t\t\tbtn.classList.remove(\"btn-secondary\", \"btn-success\");\r\n\t\t\tbtn.classList.add(\"btn-danger\");\r\n\t\t\tbtn.innerHTML = `<i class=\"fa fa-exclamation-triangle me-1\"></i>Retry Load`;\r\n\t\t}\r\n\t} finally {\r\n\t\tif (btn) btn.disabled = false;\r\n\t}\r\n}\r\nwindow.fetchUsers = fetchUsers;\r\n\r\n// Wire up the fetch users button\r\nconst fetchUsersBtn = document.getElementById(\"fetchUsersBtn\");\r\nif (fetchUsersBtn) {\r\n\tfetchUsersBtn.addEventListener(\"click\", fetchUsers);\r\n}\r\n\r\n/** * Load example scores directly into the PRS table.\r\n * Appends to any already-loaded scores instead of replacing them. */\r\nasync function loadExampleScores() {\r\n\tconsole.log(\"loadExampleScores() called\");\r\n\tconst statusEl = document.getElementById(\"prsScoresDiv\");\r\n\tconst prsStatus = document.getElementById(\"prsResultsStatus\");\r\n\tconst loadStartMs = performance.now();\r\n\tsetProgressBar(\"scores\", statusEl, 0);\r\n\r\n\t// Preserve existing loaded scores; only add scores not already loaded (by id).\r\n\t// getPrsLoadedScores() also folds in models fetched from the Select Risk Models tab,\r\n\t// so they count as \"previously loaded\" instead of being reported as 0 and re-fetched.\r\n\tconst existing = getPrsLoadedScores();\r\n\tconst existingIds = new Set(existing.map(s => s?.id).filter(Boolean));\r\n\r\n\t// Include any risk models the user selected in the Select Risk Models tab (tab 2),\r\n\t// so a pending selection is loaded alongside the example set instead of being ignored.\r\n\tconst selectedScores = (window.getSelectedScores?.() ?? []).filter(s => s?.id);\r\n\tconst selectedIdSet = new Set(selectedScores.map(s => s.id));\r\n\r\n\t// Candidate list: user-selected scores first, then example scores. Dedup by id, skip already loaded.\r\n\tconst candidateMap = new Map();\r\n\tfor (const s of [...selectedScores, ...EXAMPLE_SCORES]) {\r\n\t\tif (s?.id && !existingIds.has(s.id) && !candidateMap.has(s.id)) {\r\n\t\t\tcandidateMap.set(s.id, s);\r\n\t\t}\r\n\t}\r\n\tconst toLoad = Array.from(candidateMap.values());\r\n\r\n\tif (toLoad.length === 0) {\r\n\t\t// Everything is already loaded, but the table may currently be showing only the\r\n\t\t// Select Risk Models tab's selection, so re-render it before returning.\r\n\t\tloadedScores = existing;\r\n\t\tif (statusEl) statusEl.textContent = `All ${EXAMPLE_SCORES.length} example risk model(s) are already loaded (${existing.length} risk model(s) total).`;\r\n\t\trenderPrsScoresTable();\r\n\t\tsetProgressBar(\"scores\", statusEl, 100);\r\n\t\treturn;\r\n\t}\r\n\r\n\t// Report selected and example models separately — a pending tab 2 selection is not an\r\n\t// \"example\", so lumping them together mislabels what is about to be added.\r\n\tconst selectedCount = toLoad.filter(s => selectedIdSet.has(s.id)).length;\r\n\tconst exampleCount = toLoad.length - selectedCount;\r\n\tconst addingLabel = selectedCount > 0\r\n\t\t? `${exampleCount} example + ${selectedCount} selected risk model(s)`\r\n\t\t: `${exampleCount} example risk model(s)`;\r\n\tif (statusEl) statusEl.textContent = `Adding ${addingLabel} to ${existing.length} already loaded...`;\r\n\tif (prsStatus) prsStatus.textContent = \"\";\r\n\r\n\t// Fetch and parse each score (getPgsTxt handles fetch, parse, and caching)\r\n\tconst added = await loadScoresFromList(toLoad, (done, total) => {\r\n\t\tconst pct = total > 0 ? 10 + (done / total) * 80 : 90;\r\n\t\tsetProgressBar(\"scores\", statusEl, pct);\r\n\t});\r\n\r\n\t// Append metadata to loadedScores (dedup by id) so calculatePRS builds selectedIds correctly\r\n\tloadedScores = existing.concat(added.map(a => a.score));\r\n\r\n\t// Append parsed txts to window.loadedPgsTxts (dedup by id) so calculatePRS reuses them without refetching\r\n\tconst existingTxts = Array.isArray(window.loadedPgsTxts) ? window.loadedPgsTxts.slice() : [];\r\n\tconst existingTxtIds = new Set(existingTxts.map(t => t?.id ?? t?.meta?.pgs_id).filter(Boolean));\r\n\tconst addedTxts = added.map(a => a.parsed).filter(p => !existingTxtIds.has(p?.id ?? p?.meta?.pgs_id));\r\n\twindow.loadedPgsTxts = existingTxts.concat(addedTxts);\r\n\r\n\tconst elapsedSec = ((performance.now() - loadStartMs) / 1000).toFixed(2);\r\n\tif (statusEl) {\r\n\t\tstatusEl.textContent = `Loaded ${loadedScores.length} risk model(s) total: ${existing.length} previously + ${added.length} newly loaded in ${elapsedSec}s.`;\r\n\t\tconst failedCount = toLoad.length - added.length;\r\n\t\tif (failedCount > 0) statusEl.innerHTML += ` <span class=\"text-danger\">${failedCount} model(s) failed to load — the PGS Catalog file server may be unreachable. See the browser console for details.</span>`;\r\n\t}\r\n\tsetProgressBar(\"scores\", statusEl, 100);\r\n\r\n\trenderPrsScoresTable();\r\n\r\n\tconsole.log(\"Loaded example scores with parsed data:\", loadedScores);\r\n\r\n\t// Update cluster page\r\n\tif (typeof window.renderCluster === \"function\") {\r\n\t\twindow.renderCluster();\r\n\t}\r\n}\r\n\r\n/** * Load example users directly into the users table.\r\n * Appends to any already-loaded users (from the Genomic Data tab selection) instead of replacing them. */\r\nasync function loadExampleUsers() {\r\n\tconsole.log(\"775 loadExampleUsers() called\");\r\n\tconst statusEl = document.getElementById(\"prsUsersdiv\");\r\n\tconst prsStatus = document.getElementById(\"prsResultsStatus\");\r\n\tconst loadStartMs = performance.now();\r\n\tsetProgressBar(\"users\", statusEl, 0);\r\n\r\n\t// Preserve existing loaded users; only add example users not already loaded (by id).\r\n\t// getPrsLoadedEntries() also folds in uploads (and other selections) that arrived\r\n\t// pre-parsed from the Genomic Data tab but were never pushed into loadedUsers,\r\n\t// so they are counted as \"previously loaded\" instead of being reported as 0.\r\n\tconst existing = getPrsLoadedEntries();\r\n\tconst existingIds = new Set(existing.map(entry => entry?.user?.id).filter(Boolean));\r\n\tconst toLoad = EXAMPLE_USERS.filter(u => !existingIds.has(u.id));\r\n\r\n\tif (toLoad.length === 0) {\r\n\t\tif (statusEl) statusEl.textContent = `All ${EXAMPLE_USERS.length} example participant(s) are already loaded.`;\r\n\t\tsetProgressBar(\"users\", statusEl, 100);\r\n\t\treturn;\r\n\t}\r\n\r\n\tif (statusEl) statusEl.textContent = `Adding ${toLoad.length} example participant(s) to ${existing.length} already loaded...`;\r\n\tif (prsStatus) prsStatus.textContent = \"\";\r\n\r\n\t// Fetch and parse each example user's genome file (get23Txt caches internally)\r\n\tconst added = await loadUsersFromList(toLoad, (done, total) => {\r\n\t\tconst pct = total > 0 ? 10 + (done / total) * 80 : 90;\r\n\t\tsetProgressBar(\"users\", statusEl, pct);\r\n\t});\r\n\r\n\tloadedUsers = existing.concat(added);\r\n\twindow.loadedUsers = loadedUsers; // expose for cluster tab\r\n\r\n\tconst elapsedSec = ((performance.now() - loadStartMs) / 1000).toFixed(2);\r\n\tif (statusEl) statusEl.textContent = `Loaded ${loadedUsers.length} participant(s) total: ${existing.length} previously + ${added.length} example in ${elapsedSec}s.`;\r\n\tsetProgressBar(\"users\", statusEl, 100);\r\n\r\n\trenderPrsUsersTable();\r\n\r\n\tconsole.log(\"Loaded example users with parsed data:\", loadedUsers);\r\n\r\n\t// Update cluster page with loaded users\r\n\tif (typeof window.renderCluster === \"function\") {\r\n\t\twindow.renderCluster();\r\n\t}\r\n\r\n\t// Update the PRS results section to show users are ready\r\n\tconst prsResultsDiv = document.getElementById(\"prsResultsDiv\");\r\n\tif (prsResultsDiv && loadedUsers.length > 0) {\r\n\t\tconst userRows = loadedUsers.map((d, idx) => {\r\n\t\t\tconst id = truncCell(d.user?.id ?? \"\");\r\n\t\t\tconst name = truncCell(d.user?.name);\r\n\t\t\tconst variants = d.parsed?.dt?.length ?? 0;\r\n\t\t\treturn `<tr><td>${idx + 1}</td><td>${id}</td><td>${name}</td><td>${variants.toLocaleString()}</td><td><span class=\"text-muted\">Ready</span></td></tr>`;\r\n\t\t}).join(\"\");\r\n\r\n\t\tprsResultsDiv.innerHTML = `\r\n\t\t\t<p class=\"text-muted small\">Users loaded and ready for PRS calculation. Click \"Calculate PRS\" to compute scores.</p>\r\n\t\t\t<table class=\"table table-striped table-sm\">\r\n\t\t\t\t<thead class=\"table-dark\">\r\n\t\t\t\t\t<tr>\r\n\t\t\t\t\t\t<th>#</th>\r\n\t\t\t\t\t\t<th>Participant ID${colHelp(USER_COL_HELP.id)}</th>\r\n\t\t\t\t\t\t<th>Name${colHelp(USER_COL_HELP.name)}</th>\r\n\t\t\t\t\t\t<th>Variants${colHelp(USER_COL_HELP.variantsLoaded)}</th>\r\n\t\t\t\t\t\t<th>Status${colHelp(\"Ready = the genome file is parsed in memory and available for PRS calculation.\")}</th>\r\n\t\t\t\t\t</tr>\r\n\t\t\t\t</thead>\r\n\t\t\t\t<tbody>${userRows}</tbody>\r\n\t\t\t</table>`;\r\n\t}\r\n}\r\n\r\nfunction setupClickBlueButton(btn) {\r\n\tif (!btn) return;\r\n\tbtn.classList.remove(\"btn-primary\", \"btn-success\", \"btn-info\", \"btn-warning\", \"btn-danger\", \"btn-dark\");\r\n\tbtn.classList.add(\"btn-secondary\");\r\n\tbtn.addEventListener(\"click\", () => {\r\n\t\tbtn.classList.remove(\"btn-secondary\");\r\n\t\tbtn.classList.add(\"btn-primary\");\r\n\t});\r\n}\r\n\r\n// Wire up example buttons\r\nconst loadExampleScoresBtn = document.getElementById(\"loadExampleScoresBtn\");\r\nsetupClickBlueButton(loadExampleScoresBtn);\r\nif (loadExampleScoresBtn) {\r\n\tloadExampleScoresBtn.addEventListener(\"click\", loadExampleScores);\r\n}\r\n\r\nconst loadExampleUsersBtn = document.getElementById(\"loadExampleUsersBtn\");\r\nsetupClickBlueButton(loadExampleUsersBtn);\r\nif (loadExampleUsersBtn) {\r\n\tloadExampleUsersBtn.addEventListener(\"click\", loadExampleUsers);\r\n}\r\n\r\n// Wire up the fetch scores button\r\nconst fetchScoresBtn = document.getElementById(\"fetchScoresBtn\");\r\nif (fetchScoresBtn) {\r\n\tfetchScoresBtn.addEventListener(\"click\", fetchScores);\r\n}\r\n\r\nwindow.loadExampleScores = loadExampleScores;\r\nwindow.loadExampleUsers = loadExampleUsers;\r\n\r\n// Expose example data for manual use\r\nwindow.EXAMPLE_USERS = EXAMPLE_USERS;\r\nwindow.EXAMPLE_SCORES = EXAMPLE_SCORES;\r\n\r\n/** Return browser storage usage statistics via the Storage Estimation API. */\r\nasync function getBrowserStorageInfo() {\r\n\tconst storageEstimate = await navigator.storage.estimate();\r\n\treturn {\r\n\t\tusageGB: (storageEstimate.usage / 1024 ** 3).toFixed(2),\r\n\t\tquotaGB: (storageEstimate.quota / 1024 ** 3).toFixed(2),\r\n\t\tpercentUsed: ((storageEstimate.usage / storageEstimate.quota) * 100).toFixed(1) + \"%\"\r\n\t};\r\n}\r\nwindow.getBrowserStorageInfo = getBrowserStorageInfo;\r\n\r\n/**\r\n * Derive a human-readable name from a 23andMe / PGP genome filename.\r\n * Extracts the portion between \"genome_\" and the version marker \"_v\\d+_\" / \"_V\\d+_\".\r\n * e.g. \"genome_James_Jones_v5_full_20171221.txt\" → \"James Jones\"\r\n *      \"PGP_hu09B28E_genome_Joshua_Yoakem_v5_Full_20250127.txt\" → \"Joshua Yoakem\"\r\n * Returns null if the pattern is not found.\r\n */\r\nfunction nameFromFilename(filename) {\r\n\tif (!filename) return null;\r\n\t// Extract just the basename (handles full URLs like finalUrl)\r\n\tconst base = String(filename).replace(/.*\\//, '');\r\n\tconst m = base.match(/(?:^|_)genome_(.+?)_[vV]\\d+_/i);\r\n\tif (!m) return null;\r\n\treturn m[1]\r\n\t\t.replace(/_/g, ' ')\r\n\t\t.replace(/\\b\\w/g, c => c.toUpperCase())\r\n\t\t.trim() || null;\r\n}\r\n\r\n/*** Resolve the best display name for a user (upload filename, filename-derived, or stored name).\r\n * @param {Object} user - User object\r\n * @returns {string} Display name\r\n */\r\nfunction resolveUserName(user) {\r\n\tif (user?.dataSource === 'file Upload' && user?.fileName) {\r\n\t\treturn user.fileName;\r\n\t}\r\n\treturn nameFromFilename(\r\n\t\tuser?.fileName ??\r\n\t\tuser?.finalUrl ??\r\n\t\tuser?.downloadUrl ??\r\n\t\tuser?.genotypes?.[0]?.filename\r\n\t) || user?.name;\r\n}\r\n\r\n/*** Helper: Calculate PRS with automatic caching\r\n * Checks cache first, calculates if not found, then stores result.\r\n * @param {Object} mypgs - Parsed PGS data\r\n * @param {Object} my23 - Parsed 23andMe genome\r\n * @param {string} userId - User ID (for cache key)\r\n * @param {string} pgsId - PGS ID (for cache key)\r\n * @param {Object} userData - Full user data (for result enrichment)\r\n * @returns {Promise<Object>} PRS result with metadata { result, organized, fromCache }\r\n */\r\nasync function calculateAndCachePRS(mypgs, my23, userId, pgsId, userData) {\r\n\tconst userName = resolveUserName(userData.user);\r\n\r\n\t// Check cache first\r\n\tconst cached = await getCachedPRS(userId, pgsId);\r\n\tif (cached) {\r\n\t\tlet organizedData = cached.organized;\r\n\t\tif (!organizedData && cached.pgsMatchMy23 && cached.alleles) {\r\n\t\t\torganizedData = organizeResultsByAllele(cached, mypgs);\r\n\t\t}\r\n\t\tconsole.log('[nameFromFilename] cache hit:', userData.user?.id, 'src:', userData.user?.fileName ?? userData.user?.finalUrl, '→', userName);\r\n\t\treturn {\r\n\t\t\t...cached,\r\n\t\t\tuserName,\r\n\t\t\torganized: organizedData,\r\n\t\t\t// Older cached entries predate weight-type reporting; fall back to the scoring file.\r\n\t\t\tweightType: cached.weightType ?? mypgs.meta?.weight_type ?? \"NR\",\r\n\t\t\tpgs: cached.pgs ?? { cols: mypgs.cols, dt: mypgs.dt, meta: mypgs.meta },\r\n\t\t\tfromCache: true\r\n\t\t};\r\n\t}\r\n\r\n\t// Calculate if not cached\r\n\tconst result = MatchOptimized(mypgs, my23);\r\n\t//console.log(\"Calculated PRS result:\", result);\r\n\tconst organizedData = organizeResultsByAllele(result, mypgs);\r\n\r\n\tconst prsResult = {\r\n\t\tuserId,\r\n\t\tuserName,\r\n\t\tuserDate: userData.user.publishedDate ?? userData.user.published_date ?? \"\",\r\n\t\tpgsId,\r\n\t\ttotalVariants: mypgs.dt.length,\r\n\t\t...result,\r\n\t\torganized: organizedData,\r\n\t\tpgs: { cols: mypgs.cols, dt: mypgs.dt, meta: mypgs.meta },\r\n\t\tgenome: { cols: my23.cols, variantCount: my23.dt.length },\r\n\t\tfromCache: false\r\n\t};\r\n\r\n\t// Store in cache\r\n\tawait setCachedPRS(userId, pgsId, prsResult);\r\n\treturn prsResult;\r\n}\r\n\r\n/*** Calculate PRS using loaded scores and users.\r\n * Triggered by the \"Calculate PRS\" button.\r\n */\r\nasync function calculatePRS() {\r\n\tconsole.log(\"calculatePRS()\");\r\n\tconst timerStartMs = performance.now();\r\n\tconst statusEl = document.getElementById(\"prsResultsStatus\");\r\n\tconst resultsDiv = document.getElementById(\"prsResultsDiv\");\r\n\tif (statusEl) statusEl.textContent = \"Calculating PRS...\";\r\n\tsetProgressBar(\"calculate\", statusEl, 0);\r\n\r\n\ttry {\r\n\t\t//// GET USERS: everything shown in the PRS users table (Genomic Data tab selection\r\n\t\t//  + users loaded here), filtered to the rows whose checkbox is still checked.\r\n\t\tlet userDataForCalc = getPrsLoadedEntries();\r\n\t\tconsole.log(\"loadedUsers\", userDataForCalc);\r\n\r\n\t\t// Filter by checkboxes in the PRS users table (if rendered)\r\n\t\tconst checkedUserIds = getCheckedIds(\".prs-user-select-cb\");\r\n\t\tif (checkedUserIds.size > 0 && userDataForCalc.length > 0) {\r\n\t\t\tuserDataForCalc = userDataForCalc.filter(d => checkedUserIds.has(d.user.id ?? d.user.participant_id));\r\n\t\t\tconsole.log(`Filtered to ${userDataForCalc.length} checked user(s):`, Array.from(checkedUserIds));\r\n\t\t}\r\n\r\n\t\t// Load any checked user whose genome has not been parsed yet (e.g. a participant\r\n\t\t// selected in the Genomic Data tab without clicking \"Fetch Users\").\r\n\t\tconst haveIds = new Set(userDataForCalc.map(d => d.user?.id ?? d.user?.participant_id));\r\n\t\tconst notLoaded = getPrsDisplayUsers().filter(u => {\r\n\t\t\tconst id = u?.id ?? u?.participant_id;\r\n\t\t\tif (!id || haveIds.has(id)) return false;\r\n\t\t\treturn checkedUserIds.size === 0 || checkedUserIds.has(id);\r\n\t\t});\r\n\t\tif (notLoaded.length > 0) {\r\n\t\t\tif (statusEl) statusEl.textContent = `Loading ${notLoaded.length} user genome file(s)...`;\r\n\t\t\tuserDataForCalc = userDataForCalc.concat(await loadUsersFromList(notLoaded));\r\n\t\t}\r\n\r\n\t\tif (userDataForCalc.length === 0) {\r\n\t\t\tif (statusEl) statusEl.textContent = getPrsDisplayUsers().length === 0\r\n\t\t\t\t? \"No users loaded. Use 'Fetch Users' or 'Load Example Users' in the PRS tab, or select users in the 23andMe Data tab.\"\r\n\t\t\t\t: \"Failed to load user genome files.\";\r\n\t\t\treturn;\r\n\t\t}\r\n\t\tconsole.log(\"userDataForCalc:\", userDataForCalc);\r\n\r\n\t\t//// GET SCORES: everything shown in the PRS models table (Select Risk Models tab\r\n\t\t//  selection + models loaded here), filtered to the rows whose checkbox is still checked.\r\n\t\tlet selectedScoresList = getPrsDisplayScores();\r\n\t\tconsole.log(\"Scores available for PRS calculation:\", selectedScoresList);\r\n\r\n\t\t// Filter by checkboxes in the PRS scores table (mirrors .prs-user-select-cb behavior for users)\r\n\t\tconst checkedScoreIds = getCheckedIds(\".prs-select-cb\");\r\n\t\tif (checkedScoreIds.size > 0 && selectedScoresList.length > 0) {\r\n\t\t\tselectedScoresList = selectedScoresList.filter(s => checkedScoreIds.has(s.id));\r\n\t\t\tconsole.log(`Filtered to ${selectedScoresList.length} checked score(s):`, Array.from(checkedScoreIds));\r\n\t\t}\r\n\r\n\t\tconst selectedIds = selectedScoresList.map(s => s.id);\r\n\r\n\t\tif (selectedIds.length === 0) {\r\n\t\t\tif (statusEl) statusEl.textContent = \"No PGS scores loaded. Click 'Load Example Scores' first.\";\r\n\t\t\treturn;\r\n\t\t}\r\n\r\n\t\t// Status only — the models table is owned by renderPrsScoresTable() and is left as\r\n\t\t// rendered, so re-rendering here does not drop rows or reset the checkboxes.\r\n\t\tconst scoresDiv = document.getElementById(\"prsScoresDiv\");\r\n\t\tif (scoresDiv) scoresDiv.textContent = `Using ${selectedScoresList.length} scoring file(s).`;\r\n\r\n\t\t// Load PGS txt files (use pre-loaded from Select Risk Models tab, or fetch)\r\n\t\tif (statusEl) statusEl.textContent = `Calculating PRS....`;\r\n\r\n\t\tlet pgsTxts = [];\r\n\r\n\t\t// Check if PGS files were pre-loaded in the Select Risk Models tab\r\n\t\tconst preloadedTxts = window.loadedPgsTxts ?? [];\r\n\t\tif (preloadedTxts.length > 0) {\r\n\t\t\t// Filter to only selected IDs\r\n\t\t\tpgsTxts = preloadedTxts.filter(pgs => {\r\n\t\t\t\tconst pgsId = pgs?.id ?? pgs?.meta?.pgs_id;\r\n\t\t\t\treturn selectedIds.includes(pgsId);\r\n\t\t\t});\r\n\t\t\tconsole.log(`Using ${pgsTxts.length} pre-loaded PGS files from Select Risk Models tab`);\r\n\t\t}\r\n\r\n\t\t// If not enough pre-loaded files, fetch missing ones\r\n\t\tif (pgsTxts.length < selectedIds.length) {\r\n\t\t\tconst loadedIds = new Set(pgsTxts.map(p => p?.id ?? p?.meta?.pgs_id));\r\n\t\t\tconst missingScores = selectedScoresList.filter(s => !loadedIds.has(s.id));\r\n\r\n\t\t\tif (missingScores.length > 0) {\r\n\t\t\t\tconsole.log(`Fetching ${missingScores.length} missing PGS files...`);\r\n\t\t\t\tif (statusEl) statusEl.textContent = `Fetching ${missingScores.length} missing PGS file(s)...`;\r\n\t\t\t\tconst added = await loadScoresFromList(missingScores);\r\n\t\t\t\tpgsTxts.push(...added.map(a => a.parsed));\r\n\t\t\t}\r\n\t\t}\r\n\t\tconsole.log(\"PGS txts for calculation:\", pgsTxts);\r\n\r\n\t\t// Run PRS calculation for each user x score combination\r\n\t\tif (statusEl) statusEl.textContent = `Calculating PRS for ${userDataForCalc.length} user(s) x ${pgsTxts.length} model(s)...`;\r\n\r\n\t\tconst prsResults = [];\r\n\t\tlet cachedCount = 0;\r\n\t\tlet calculatedCount = 0;\r\n\t\tconst totalPairs = userDataForCalc.length * pgsTxts.length;\r\n\t\tlet completedPairs = 0;\r\n\r\n\t\tfor (const userData of userDataForCalc) {\r\n\t\t\tconst my23 = userData.parsed;\r\n\t\t\tconst userId = userData.user.id;\r\n\r\n\t\t\tfor (const mypgs of pgsTxts) {\r\n\t\t\t\tconst pgsId = mypgs.id ?? mypgs.meta?.pgs_id ?? mypgs.url;\r\n\r\n\t\t\t\tconst prsResult = await calculateAndCachePRS(mypgs, my23, userId, pgsId, userData);\r\n\t\t\t\tprsResults.push(prsResult);\r\n\t\t\t\tcompletedPairs += 1;\r\n\t\t\t\tsetProgressBar(\"calculate\", statusEl, totalPairs > 0 ? (completedPairs / totalPairs) * 100 : 100);\r\n\r\n\t\t\t\tif (prsResult.fromCache) cachedCount++;\r\n\t\t\t\telse calculatedCount++;\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\tconsole.log(\"PRS results:\", prsResults);\r\n\t\twindow.prsResults = prsResults;  // expose for cluster tab\r\n\t\tif (window.sdk) window.sdk.prsResults = prsResults;  // mirror into namespace\r\n\r\n\t\t// Invalidate cluster cache when PRS results change\r\n\t\tif (typeof window.invalidateClusterCache === 'function') {\r\n\t\t\twindow.invalidateClusterCache();\r\n\t\t}\r\n\r\n\t\tconst elapsedSec = ((performance.now() - timerStartMs) / 1000).toFixed(2);\r\n\t\tif (statusEl) statusEl.textContent = `Completed! ${elapsedSec}s. ${prsResults.length} result(s) (${cachedCount} from cache, ${calculatedCount} calculated).`;\r\n\t\tsetProgressBar(\"calculate\", statusEl, 100);\r\n\r\n\t\t// Display results (paginated at 100 rows/page, click-to-sort on every column).\r\n\t\tif (resultsDiv) {\r\n\t\t\trenderPrsResultsTable(resultsDiv, prsResults);\r\n\t\t}\r\n\r\n\t} catch (err) {\r\n\t\tconsole.error(\"calculatePRS error:\", err);\r\n\t\tif (statusEl) statusEl.textContent = `Error: ${err.message}`;\r\n\t\tsetProgressBar(\"calculate\", statusEl, 100);\r\n\t}\r\n}\r\n\r\n// Wire up Calculate PRS button\r\nconst calculatePrsBtn = document.getElementById(\"calculatePrsBtn\");\r\nsetupClickBlueButton(calculatePrsBtn);\r\nif (calculatePrsBtn) {\r\n\tcalculatePrsBtn.addEventListener(\"click\", calculatePRS);\r\n}\r\n\r\n// window.calculatePRS = calculatePRS;\r\n\r\n// --- window.sdk namespace ---\r\n// Collect all public functions under window.sdk so they are accessible as\r\n// window.sdk.getBrowserStorageInfo(), window.sdk.clearPRSCache(), etc.\r\n// Object.assign merges with any entries already added by other modules.\r\nwindow.sdk = Object.assign(window.sdk ?? {}, {\r\n\t// Storage utilities\r\n\tgetBrowserStorageInfo,\r\n\tclearPRSCache,\r\n\tclearPGSCache,\r\n\tclearGenomeCache,\r\n\r\n\t// PRS calculation\r\n\tcalculatePRS,\r\n\torganizeResultsByAllele,\r\n\r\n\t// Score / user loading\r\n\tfetchScores,\r\n\tfetchUsers,\r\n\tloadExampleScores,\r\n\tloadExampleUsers,\r\n\r\n\t// Example data\r\n\tEXAMPLE_SCORES,\r\n\tEXAMPLE_USERS,\r\n});\r\n","/**\r\n * PRS Visualization Functions\r\n * Plotly-based visualizations for PRS calculation results\r\n */\r\nimport localforage from \"localforage\";\r\n\r\n/**\r\n * Clear genome/23andMe cache (Genome:23andMe-txt-* keys only, not metadata)\r\n */\r\nasync function clearGenomeCache() {\r\n    const keys = await localforage.keys();\r\n    // Clear parsed genome data keys only (\"Genome:23andMe-txt-*\"), not profile metadata\r\n    const genomeKeys = keys.filter(k => k.startsWith('Genome:23andMe-txt-'));\r\n    for (const key of genomeKeys) {\r\n        await localforage.removeItem(key);\r\n    }\r\n    // console.log(`Genome cache cleared: removed ${genomeKeys.length} item(s)`);\r\n    return genomeKeys.length;\r\n}\r\nwindow.clearGenomeCache = clearGenomeCache;\r\n\r\n/**\r\n * Display file inspection links for the selected result\r\n * @param {Object} result - The PRS result object\r\n */\r\nfunction inspectFiles(result) {\r\n    const div = document.getElementById('inspectFilesDiv');\r\n    if (!div) return;\r\n    \r\n    const userId = result.userId ?? 'Unknown';\r\n    const userName = result.userName ? ` (${result.userName})` : '';\r\n    const pgsId = result.pgsId ?? 'Unknown';\r\n    const pgsNum = pgsId.replace(/^PGS0*/, '');\r\n    \r\n    // Store PGS data for inspect modal (SDK caches in separate instance, so we store from result)\r\n    const defaultCols = ['rsID', 'hm_chr', 'hm_pos', 'effect_allele', 'effect_weight', 'other_allele', 'hm_inferOtherAllele'];\r\n    window._inspectPGSData = window._inspectPGSData || {};\r\n    window._inspectPGSData[pgsId] = {\r\n        cols: result.pgs?.cols ?? defaultCols,\r\n        dt: result.organized?.all?.dt ?? result.pgs?.dt ?? [],\r\n        meta: result.pgs?.meta ?? { pgs_id: pgsId }\r\n    };\r\n    \r\n    // Build PGS Catalog link\r\n    const pgsCatalogUrl = `https://www.pgscatalog.org/score/${pgsId}/`;\r\n    const pgsDownloadUrl = `https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/${pgsId}/ScoringFiles/Harmonized/${pgsId}_hmPOS_GRCh37.txt.gz`;\r\n    \r\n    div.style.display = '';\r\n    div.innerHTML = `\r\n        <div class=\"card\">\r\n            <div class=\"card-body py-2\">\r\n                <div class=\"row\">\r\n                    <div class=\"col-md-6\">\r\n                        <strong>23andMe Genome:</strong> ${userId}${userName}<br>\r\n                        <button class=\"btn btn-sm btn-outline-primary mt-1\" onclick=\"window.inspect23File('${userId}')\">\r\n                            <i class=\"bi bi-file-text\"></i> Inspect Genome\r\n                        </button>\r\n                    </div>\r\n                    <div class=\"col-md-6\">\r\n                        <strong>PGS File:</strong> <a href=\"${pgsCatalogUrl}\" target=\"_blank\">${pgsId}</a><br>\r\n                        <button class=\"btn btn-sm btn-outline-primary mt-1\" onclick=\"window.inspectPGSFile('${pgsId}')\">\r\n                            <i class=\"bi bi-file-text\"></i> Inspect PGS\r\n                        </button>\r\n                        <button class=\"btn btn-sm btn-outline-primary mt-1\" onclick=\"window.inspectEffectWeights('${pgsId}')\">\r\n                            <i class=\"bi bi-graph-up\"></i> Inspect Effect Weights\r\n                        </button>\r\n                        <a href=\"${pgsDownloadUrl}\" target=\"_blank\" class=\"btn btn-sm btn-outline-secondary mt-1\">\r\n                            <i class=\"bi bi-download\"></i> Download\r\n                        </a>\r\n                    </div>\r\n                </div>\r\n            </div>\r\n        </div>\r\n    `;\r\n}\r\n\r\n/**\r\n * Inspect 23andMe genome file from cache - raw text with pagination\r\n */\r\nwindow.inspect23File = async function(userId) {\r\n    const modal = createInspectModal();\r\n    modal.title.textContent = `23andMe Genome: ${userId}`;\r\n    modal.body.innerHTML = '<div class=\"text-center\"><div class=\"spinner-border\" role=\"status\"></div><br>Loading...</div>';\r\n    modal.show();\r\n    \r\n    try {\r\n        // Genomes are cached by get23Txt / the upload handler under this key.\r\n        const cacheKey = `Genome:23andMe-txt-${userId}`;\r\n        const cached = await localforage.getItem(cacheKey);\r\n\r\n        // SDK caches under .data, local caching uses .dt\r\n        let genomeData = cached?.data ?? cached;\r\n\r\n        // Fall back to already-parsed data held in memory (e.g. an uploaded file\r\n        // that was parsed this session).\r\n        if (!genomeData?.dt) {\r\n            const sameId = (id) => id === userId;\r\n            const loadedEntry = (window.loadedUsers ?? []).find(d => sameId(d?.user?.id ?? d?.user?.participant_id));\r\n            const selectedUser = (window.getSelectedUsers?.() ?? []).find(u => sameId(u?.id ?? u?.participant_id));\r\n            genomeData = loadedEntry?.parsed ?? selectedUser?._parsed ?? genomeData;\r\n        }\r\n\r\n        if (genomeData && genomeData.dt) {\r\n            window._inspectData = { data: genomeData, type: '23andMe', id: userId };\r\n            renderInspectPage(0);\r\n        } else {\r\n            modal.body.innerHTML = `<div class=\"alert alert-warning\">\r\n                <strong>Genome data not found in cache.</strong><br>\r\n                This can happen if PRS was calculated before genome caching was enabled.<br><br>\r\n                <strong>To fix:</strong>\r\n                <ol>\r\n                    <li>Go to the <strong>Calculate PRS</strong> tab</li>\r\n                    <li>Click <strong>Clear PRS Cache</strong></li>\r\n                    <li>Recalculate PRS</li>\r\n                </ol>\r\n            </div>`;\r\n        }\r\n    } catch (err) {\r\n        modal.body.innerHTML = `<div class=\"alert alert-danger\">Error loading genome: ${err.message}</div>`;\r\n    }\r\n};\r\n\r\n/**\r\n * Inspect PGS scoring file from cache - raw text with pagination\r\n */\r\nwindow.inspectPGSFile = async function(pgsId) {\r\n    const modal = createInspectModal();\r\n    modal.title.textContent = `PGS Scoring File: ${pgsId}`;\r\n    modal.body.innerHTML = '<div class=\"text-center\"><div class=\"spinner-border\" role=\"status\"></div><br>Loading...</div>';\r\n    modal.show();\r\n    \r\n    try {\r\n        // Use stored data from inspectFiles (SDK caches in separate localforage instance)\r\n        const storedData = window._inspectPGSData?.[pgsId];\r\n        \r\n        if (storedData && storedData.dt && storedData.dt.length > 0) {\r\n            window._inspectData = { data: storedData, type: 'PGS', id: pgsId };\r\n            renderInspectPage(0);\r\n        } else {\r\n            modal.body.innerHTML = '<div class=\"alert alert-warning\">PGS data not available. Please select a different result from the dropdown.</div>';\r\n        }\r\n    } catch (err) {\r\n        modal.body.innerHTML = `<div class=\"alert alert-danger\">Error loading PGS: ${err.message}</div>`;\r\n    }\r\n};\r\n\r\n// GRCh37 chromosome lengths, used only to lay chromosomes out end-to-end on the x axis\r\n// so the spacing reflects genomic size rather than how many model variants happen to\r\n// fall on each chromosome. Harmonized scoring files are fetched as hmPOS_GRCh37.\r\nconst CHR_LENGTHS_GRCH37 = {\r\n    '1': 249250621, '2': 243199373, '3': 198022430, '4': 191154276, '5': 180915260,\r\n    '6': 171115067, '7': 159138663, '8': 146364022, '9': 141213431, '10': 135534747,\r\n    '11': 135006516, '12': 133851895, '13': 115169878, '14': 107349540, '15': 102531392,\r\n    '16': 90354753, '17': 81195210, '18': 78077248, '19': 59128983, '20': 63025520,\r\n    '21': 48129895, '22': 51304566, 'X': 155270560, 'Y': 59373566, 'MT': 16569\r\n};\r\nconst CHR_ORDER = Object.keys(CHR_LENGTHS_GRCH37);\r\n// Repeating qualitative palette so neighbouring chromosomes are always distinguishable.\r\nconst CHR_COLORS = [\r\n    '#7f7f7f', '#000000', '#f7b6d2', '#1f77b4', '#d62728', '#ff7f0e',\r\n    '#2ca02c', '#e377c2', '#9467bd', '#17becf'\r\n];\r\n\r\n/**\r\n * Inspect the effect weights of a scoring file as a Manhattan-style scatter:\r\n * effect weight on the y axis, chromosome position on the x axis.\r\n * @param {string} pgsId - PGS ID whose parsed scoring file is in window._inspectPGSData\r\n */\r\nwindow.inspectEffectWeights = function (pgsId) {\r\n    const modal = createInspectModal('modal-xl');\r\n    modal.title.textContent = `Effect weights: ${pgsId}`;\r\n\r\n    const stored = window._inspectPGSData?.[pgsId];\r\n    if (!stored?.dt?.length) {\r\n        modal.body.innerHTML = '<div class=\"alert alert-warning\">PGS data not available. Please select a different result from the dropdown.</div>';\r\n        modal.show();\r\n        return;\r\n    }\r\n\r\n    const cols = stored.cols ?? [];\r\n    const indChr = cols.indexOf('hm_chr');\r\n    const indPos = cols.indexOf('hm_pos');\r\n    const indWeight = cols.indexOf('effect_weight');\r\n    if (indChr === -1 || indPos === -1 || indWeight === -1) {\r\n        modal.body.innerHTML = '<div class=\"alert alert-warning\">This scoring file has no harmonized position columns (<code>hm_chr</code>, <code>hm_pos</code>) or no <code>effect_weight</code>, so it cannot be plotted by position.</div>';\r\n        modal.show();\r\n        return;\r\n    }\r\n    const indRsid = ['rsID', 'rsid', 'hm_rsID'].map(c => cols.indexOf(c)).find(i => i !== -1) ?? -1;\r\n    const indEffectAllele = cols.indexOf('effect_allele');\r\n\r\n    const weightType = stored.meta?.weight_type ?? 'NR';\r\n    modal.body.innerHTML = `\r\n        <p class=\"text-muted small\">\r\n            Every variant in the scoring file, plotted at its harmonized position.\r\n            The y axis is the reported <code>effect_weight</code>\r\n            (<code>weight_type</code>: <code>${weightType}</code>) &mdash; positive weights\r\n            increase the score, negative weights decrease it. This is the model itself, not\r\n            this participant's genotypes.\r\n        </p>\r\n        <div id=\"effectWeightPlotDiv\" style=\"width:100%;height:460px;\"></div>\r\n        <div id=\"effectWeightPlotSummary\" class=\"text-muted small mt-2\"></div>`;\r\n\r\n    const draw = () => renderEffectWeightPlot(stored, { indChr, indPos, indWeight, indRsid, indEffectAllele }, pgsId);\r\n\r\n    // Plotly needs the container to have its final width, which only happens once the\r\n    // modal has finished animating in. If it is already open (repeat click), draw now.\r\n    if (modal.element.classList.contains('show')) {\r\n        draw();\r\n    } else {\r\n        modal.element.addEventListener('shown.bs.modal', draw, { once: true });\r\n    }\r\n    modal.show();\r\n};\r\n\r\n/**\r\n * Draw the effect-weight-by-position scatter into #effectWeightPlotDiv.\r\n * @param {Object} pgs - Parsed scoring file { cols, dt, meta }\r\n * @param {Object} idx - Resolved column indexes\r\n * @param {string} pgsId - PGS ID, used in the title\r\n */\r\nfunction renderEffectWeightPlot(pgs, idx, pgsId) {\r\n    const div = document.getElementById('effectWeightPlotDiv');\r\n    if (!div) return;\r\n\r\n    // Group variants by chromosome, dropping rows without a usable position or weight.\r\n    const byChr = new Map();\r\n    let skipped = 0;\r\n    for (const row of pgs.dt) {\r\n        const chr = String(row[idx.indChr] ?? '').replace(/^chr/i, '').toUpperCase();\r\n        const pos = Number(row[idx.indPos]);\r\n        const w = Number(row[idx.indWeight]);\r\n        if (!chr || !Number.isFinite(pos) || !Number.isFinite(w)) { skipped++; continue; }\r\n        if (!byChr.has(chr)) byChr.set(chr, { pos: [], w: [], label: [] });\r\n        const g = byChr.get(chr);\r\n        g.pos.push(pos);\r\n        g.w.push(w);\r\n        const rsid = idx.indRsid !== -1 ? row[idx.indRsid] : '';\r\n        const allele = idx.indEffectAllele !== -1 ? row[idx.indEffectAllele] : '';\r\n        g.label.push(`${rsid || `chr${chr}:${pos}`}${allele ? ` (${allele})` : ''}`);\r\n    }\r\n\r\n    // Known chromosomes first in genomic order, then anything unexpected.\r\n    const present = [...byChr.keys()];\r\n    const ordered = CHR_ORDER.filter(c => byChr.has(c))\r\n        .concat(present.filter(c => !CHR_ORDER.includes(c)).sort());\r\n\r\n    const traces = [];\r\n    const tickVals = [];\r\n    const tickText = [];\r\n    let offset = 0;\r\n    ordered.forEach((chr, i) => {\r\n        const g = byChr.get(chr);\r\n        const length = CHR_LENGTHS_GRCH37[chr] ?? (Math.max(...g.pos) || 1);\r\n        traces.push({\r\n            x: g.pos.map(p => p + offset),\r\n            y: g.w,\r\n            text: g.label,\r\n            customdata: g.pos,\r\n            name: `chr${chr}`,\r\n            mode: 'markers',\r\n            type: 'scattergl',\r\n            marker: { size: 4, color: CHR_COLORS[i % CHR_COLORS.length], opacity: 0.8 },\r\n            hovertemplate: `%{text}<br>chr${chr}:%{customdata}<br>effect weight = %{y:.4f}<extra></extra>`\r\n        });\r\n        tickVals.push(offset + length / 2);\r\n        tickText.push(`chr${chr}`);\r\n        offset += length;\r\n    });\r\n\r\n    const layout = {\r\n        title: {\r\n            text: `${pgsId}: effect weight by genomic position`,\r\n            font: { size: 16, color: '#333' }\r\n        },\r\n        margin: { l: 60, r: 20, t: 50, b: 60 },\r\n        xaxis: {\r\n            title: 'SNPs over the chromosome',\r\n            tickmode: 'array',\r\n            tickvals: tickVals,\r\n            ticktext: tickText,\r\n            tickangle: -45,\r\n            tickfont: { size: 9 },\r\n            range: [0, offset],\r\n            showgrid: false,\r\n            zeroline: false,\r\n            showline: true,\r\n            mirror: true\r\n        },\r\n        yaxis: {\r\n            title: 'Effect weight (w)',\r\n            zeroline: true,\r\n            zerolinecolor: '#999',\r\n            gridcolor: '#e9ecef',\r\n            showline: true,\r\n            mirror: true\r\n        },\r\n        showlegend: false,\r\n        plot_bgcolor: '#fff'\r\n    };\r\n\r\n    Plotly.newPlot(div, traces, layout, { responsive: true, displaylogo: false });\r\n\r\n    const summary = document.getElementById('effectWeightPlotSummary');\r\n    if (summary) {\r\n        const all = traces.flatMap(t => t.y);\r\n        const pos = all.filter(w => w > 0).length;\r\n        const neg = all.filter(w => w < 0).length;\r\n        const absMax = all.reduce((m, w) => Math.max(m, Math.abs(w)), 0);\r\n        summary.innerHTML = `${all.length.toLocaleString()} variants plotted across ${ordered.length} chromosomes`\r\n            + ` &mdash; ${pos.toLocaleString()} positive, ${neg.toLocaleString()} negative,`\r\n            + ` largest magnitude ${absMax.toPrecision(3)}.`\r\n            + (skipped > 0 ? ` ${skipped.toLocaleString()} variant(s) skipped for missing position or weight.` : '');\r\n    }\r\n}\r\n\r\n/**\r\n * Render a page of raw text data with pagination\r\n */function renderInspectPage(page) {\r\n    const body = document.getElementById('inspectModalBody');\r\n    const { data, type, id } = window._inspectData;\r\n    const pageSize = 100;\r\n    const totalRows = data.dt.length;\r\n    const totalPages = Math.ceil(totalRows / pageSize);\r\n    const start = page * pageSize;\r\n    const end = Math.min(start + pageSize, totalRows);\r\n    const cols = data.cols || (type === '23andMe' ? ['rsid', 'chromosome', 'position', 'genotype'] : ['rsID', 'hm_chr', 'hm_pos', 'effect_allele', 'effect_weight']);\r\n    \r\n    // Build header info\r\n    let html = '<div class=\"mb-2\">';\r\n    html += `<strong>Total rows:</strong> ${totalRows} | `;\r\n    html += `<strong>Showing:</strong> ${start + 1} - ${end} | `;\r\n    html += `<strong>Page:</strong> ${page + 1} of ${totalPages}`;\r\n    html += '</div>';\r\n    \r\n    // Show metadata for PGS files (only on first page)\r\n    // PGS files store meta.txt as array of raw header lines\r\n    if (type === 'PGS' && data.meta && page === 0) {\r\n        let metaText = '';\r\n        if (data.meta.txt && Array.isArray(data.meta.txt)) {\r\n            // Display raw header lines from the file\r\n            metaText = data.meta.txt.join('\\n');\r\n        } else {\r\n            // Fallback: build from key=value pairs\r\n            metaText = '###PGS CATALOG SCORING FILE\\n##METADATA\\n';\r\n            for (const [key, value] of Object.entries(data.meta)) {\r\n                if (key !== 'txt' && value !== null && value !== undefined && value !== '') {\r\n                    metaText += `#${key}=${value}\\n`;\r\n                }\r\n            }\r\n        }\r\n        html += '<details open class=\"mb-2\"><summary><strong>File Metadata</strong></summary>';\r\n        html += `<pre style=\"max-height:200px; overflow-y:auto; background:#e9ecef; padding:10px; font-size:11px; white-space:pre; overflow-x:auto; margin-top:5px;\">${metaText}</pre>`;\r\n        html += '</details>';\r\n    }\r\n    \r\n    // Show metadata for 23andMe files (only on first page)\r\n    // SDK stores meta as a raw string of all comment lines joined by \\r\\n\r\n    if (type === '23andMe' && page === 0) {\r\n        let metaText = '';\r\n        if (data.meta && typeof data.meta === 'string') {\r\n            // Raw header lines from the file\r\n            metaText = data.meta;\r\n        } else if (data.meta && typeof data.meta === 'object') {\r\n            // Fallback if meta is an object\r\n            for (const [key, value] of Object.entries(data.meta)) {\r\n                if (value !== null && value !== undefined && value !== '') {\r\n                    metaText += `# ${key}: ${value}\\n`;\r\n                }\r\n            }\r\n        }\r\n        metaText += `\\n# Total variants: ${totalRows}`;\r\n        metaText += `\\n# Columns: ${cols.join(', ')}`;\r\n        html += '<details open class=\"mb-2\"><summary><strong>File Metadata</strong></summary>';\r\n        html += `<pre style=\"max-height:200px; overflow-y:auto; background:#e9ecef; padding:10px; font-size:11px; white-space:pre; overflow-x:auto; margin-top:5px;\">${metaText}</pre>`;\r\n        html += '</details>';\r\n    }\r\n    \r\n    // Pagination controls\r\n    html += '<div class=\"btn-group mb-2\">';\r\n    html += `<button class=\"btn btn-sm btn-outline-primary\" ${page === 0 ? 'disabled' : ''} onclick=\"renderInspectPage(0)\">First</button>`;\r\n    html += `<button class=\"btn btn-sm btn-outline-primary\" ${page === 0 ? 'disabled' : ''} onclick=\"renderInspectPage(${page - 1})\">Previous 100</button>`;\r\n    html += `<button class=\"btn btn-sm btn-outline-primary\" ${page >= totalPages - 1 ? 'disabled' : ''} onclick=\"renderInspectPage(${page + 1})\">Next 100</button>`;\r\n    html += `<button class=\"btn btn-sm btn-outline-primary\" ${page >= totalPages - 1 ? 'disabled' : ''} onclick=\"renderInspectPage(${totalPages - 1})\">Last</button>`;\r\n    html += '</div>';\r\n    \r\n    // Raw text content\r\n    const rows = data.dt.slice(start, end);\r\n    const header = cols.join('\\t');\r\n    const text = rows.map(row => row.join('\\t')).join('\\n');\r\n    \r\n    html += `<pre style=\"max-height:400px; overflow-y:auto; background:#f8f9fa; padding:10px; font-size:11px; white-space:pre; overflow-x:auto;\">${header}\\n${text}</pre>`;\r\n    \r\n    // Bottom pagination\r\n    html += '<div class=\"btn-group mt-2\">';\r\n    html += `<button class=\"btn btn-sm btn-outline-primary\" ${page === 0 ? 'disabled' : ''} onclick=\"renderInspectPage(${page - 1})\">Previous 100</button>`;\r\n    html += `<button class=\"btn btn-sm btn-outline-primary\" ${page >= totalPages - 1 ? 'disabled' : ''} onclick=\"renderInspectPage(${page + 1})\">Next 100</button>`;\r\n    html += '</div>';\r\n    \r\n    body.innerHTML = html;\r\n}\r\nwindow.renderInspectPage = renderInspectPage;\r\n\r\n/**\r\n * Create or get the inspect modal\r\n * @param {string} [sizeClass='modal-lg'] - Bootstrap modal size class for the dialog\r\n */\r\nfunction createInspectModal(sizeClass = 'modal-lg') {\r\n    let modal = document.getElementById('inspectModal');\r\n    if (!modal) {\r\n        modal = document.createElement('div');\r\n        modal.id = 'inspectModal';\r\n        modal.className = 'modal fade';\r\n        modal.tabIndex = -1;\r\n        modal.innerHTML = `\r\n            <div class=\"modal-dialog modal-lg modal-dialog-scrollable\">\r\n                <div class=\"modal-content\">\r\n                    <div class=\"modal-header\">\r\n                        <h5 class=\"modal-title\" id=\"inspectModalTitle\">Inspect File</h5>\r\n                        <button type=\"button\" class=\"btn-close\" data-bs-dismiss=\"modal\"></button>\r\n                    </div>\r\n                    <div class=\"modal-body\" id=\"inspectModalBody\"></div>\r\n                    <div class=\"modal-footer\">\r\n                        <button type=\"button\" class=\"btn btn-secondary\" data-bs-dismiss=\"modal\">Close</button>\r\n                    </div>\r\n                </div>\r\n            </div>\r\n        `;\r\n        document.body.appendChild(modal);\r\n    }\r\n\r\n    // The modal is reused across inspectors, so reset the width every time.\r\n    const dialog = modal.querySelector('.modal-dialog');\r\n    if (dialog) dialog.className = `modal-dialog ${sizeClass} modal-dialog-scrollable`;\r\n\r\n    const bsModal = bootstrap.Modal.getOrCreateInstance(modal);\r\n    return {\r\n        title: document.getElementById('inspectModalTitle'),\r\n        body: document.getElementById('inspectModalBody'),\r\n        element: modal,\r\n        show: () => bsModal.show()\r\n    };\r\n}\r\n\r\n/**\r\n * Summarise how much of a score's effect weight is retained by the matched\r\n * (directly observable) variants. Variant-count overlap alone hides the case\r\n * where the retained subset preferentially keeps one sign of effect weight.\r\n * @param {number[]} matchedRisk - effect weights of matched variants\r\n * @param {number[]} allRisk - effect weights of every variant in the score\r\n * @returns {{variant:number|null, absolute:number|null, positive:number|null, negative:number|null}}\r\n *   coverage fractions in 0..1, or null where the denominator is zero\r\n */\r\nfunction effectWeightCoverage(matchedRisk, allRisk) {\r\n    const finite = (arr) => arr.filter(w => Number.isFinite(w));\r\n    const m = finite(matchedRisk);\r\n    const a = finite(allRisk);\r\n    const sumAbs = (arr) => arr.reduce((s, w) => s + Math.abs(w), 0);\r\n    const sumPos = (arr) => arr.reduce((s, w) => s + (w > 0 ? w : 0), 0);\r\n    const sumNegAbs = (arr) => arr.reduce((s, w) => s + (w < 0 ? -w : 0), 0);\r\n    const ratio = (num, den) => (den > 0 ? num / den : null);\r\n    return {\r\n        variant: ratio(m.length, a.length),\r\n        absolute: ratio(sumAbs(m), sumAbs(a)),\r\n        positive: ratio(sumPos(m), sumPos(a)),\r\n        negative: ratio(sumNegAbs(m), sumNegAbs(a)),\r\n    };\r\n}\r\n\r\n/**\r\n * Render the effect-weight coverage metrics above the pie chart.\r\n * @param {Object} data - PGS23.data object containing pgs and 23andMe match data\r\n */\r\nfunction renderCoverageMetrics(data) {\r\n    const div = document.getElementById('coverageMetricsDiv');\r\n    if (!div) return;\r\n\r\n    const matchedRisk = data.plot?.matched?.risk ?? [];\r\n    const allRisk = data.plot?.all?.risk\r\n        ?? [...matchedRisk, ...(data.plot?.not_matched?.risk ?? [])];\r\n    const cov = effectWeightCoverage(matchedRisk, allRisk);\r\n\r\n    const pct = (v) => (v == null ? 'n/a' : `${(v * 100).toFixed(1)}%`);\r\n    const cell = (label, value, help) => `\r\n        <div class=\"col-6 col-md-3\">\r\n          <div class=\"border rounded p-2 h-100\">\r\n            <div class=\"text-muted text-uppercase\" style=\"font-size:0.7rem;\" title=\"${help}\">${label}</div>\r\n            <div class=\"fw-bold\" style=\"font-size:1.1rem;\">${pct(value)}</div>\r\n          </div>\r\n        </div>`;\r\n\r\n    div.innerHTML = `\r\n      <div class=\"row g-2 mb-3\">\r\n        ${cell('Variant coverage', cov.variant, 'Matched variants divided by all variants in the score.')}\r\n        ${cell('Absolute weight coverage', cov.absolute, 'Sum of |effect weight| over matched variants divided by the same sum over all variants.')}\r\n        ${cell('Positive weight coverage', cov.positive, 'Sum of positive effect weights over matched variants divided by the same sum over all variants.')}\r\n        ${cell('Negative weight coverage', cov.negative, 'Sum of |effect weight| over matched variants with negative weights, divided by the same sum over all variants.')}\r\n      </div>\r\n      <p class=\"text-muted small mb-3\">\r\n        Coverage compares the directly observable (matched) variants against the full score.\r\n        A large gap between positive and negative weight coverage means the matched subset\r\n        disproportionately retains one direction of effect, which biases the score beyond\r\n        what variant-count overlap alone would suggest.\r\n      </p>`;\r\n    div.style.display = '';\r\n}\r\n\r\n/**\r\n * Plot pie chart showing total effect-weight contribution for matched vs unmatched variants\r\n * @param {Object} data - PGS23.data object containing pgs and 23andMe match data\r\n */\r\nfunction pieChart(data = PGS23.data) {\r\n    const pieChartDiv = document.getElementById('pieChartDiv');\r\n    if (!pieChartDiv) {\r\n        console.warn('pieChartDiv not found');\r\n        return;\r\n    }\r\n    pieChartDiv.style.height = 19 + 'em';\r\n\r\n    // Show the heading when results are available\r\n    const heading = document.getElementById('pieChartHeading');\r\n    if (heading) heading.style.display = '';\r\n    const caption = document.getElementById('pieChartCaption');\r\n    if (caption) caption.style.display = '';\r\n\r\n    renderCoverageMetrics(data);\r\n\r\n    /* Plot percent of matched and not matched effect weights */\r\n    // Consistent typography for the whole figure.\r\n    const fontFamily = \"'Helvetica Neue', Helvetica, Arial, sans-serif\";\r\n    const pgsId = data.pgs.meta.pgs_id.replace(/^.*0+/, '');\r\n\r\n    const risk1 = data.plot.matched.risk.reduce((partialSum, a) => partialSum + a, 0);\r\n    const risk2 = data.plot.not_matched.risk.reduce((partialSum, a) => partialSum + a, 0);\r\n    // Effect weights are signed. Sizing slices by |sum of weights| lets positive and\r\n    // negative weights cancel inside a group before the percentages are computed, which\r\n    // is not the \"absolute summed effect weight\" the caption promises and does not match\r\n    // the Absolute weight coverage metric above. Size slices by the sum of |weight|\r\n    // instead — the same quantity effectWeightCoverage() reports — and keep the signed\r\n    // total on hover.\r\n    const sumAbs = (arr) => arr.reduce((s, w) => s + (Number.isFinite(w) ? Math.abs(w) : 0), 0);\r\n    const labels = [\r\n        `Matched (${data.plot.matched.risk.length})`,\r\n        `Unmatched (${data.plot.not_matched.risk.length})`\r\n    ];\r\n    const signedTotals = [risk1, risk2];\r\n    var y = [sumAbs(data.plot.matched.risk), sumAbs(data.plot.not_matched.risk)];\r\n    var x = labels;\r\n    var piePlotData = [{\r\n        values: y,\r\n        labels: x,\r\n        customdata: signedTotals,\r\n        sort: false,\r\n        insidetextorientation: \"horizontal\",\r\n        textinfo: \"percent\",\r\n        textposition: \"outside\",\r\n        type: 'pie',\r\n        marker: {\r\n            colors: [\"#2ca02c\", \"#bdbdbd\"],\r\n            line: {\r\n                color: 'white',\r\n                width: 1.5\r\n            }\r\n        },\r\n        textfont: {\r\n            family: fontFamily,\r\n            color: '#222',\r\n            size: 13\r\n        },\r\n        hovertemplate: '%{label}<br>sum of |effect weight| = %{value:.3f}<br>signed total = %{customdata:.3f}<br>share of \\u03a3|w| = %{percent}<extra></extra>',\r\n        hoverlabel: {\r\n            bgcolor: 'black',\r\n            bordercolor: 'black',\r\n            font: {\r\n                family: fontFamily,\r\n                color: 'white',\r\n                size: 13\r\n            }\r\n        }\r\n    }];\r\n    var layout = {\r\n        font: { family: fontFamily },\r\n        title: {\r\n            text: `PGS#${pgsId}: effect-weight contribution by match status`,\r\n            font: {\r\n                family: fontFamily,\r\n                size: 16,\r\n                color: '#333'\r\n            }\r\n        },\r\n        width: '20em',\r\n        legend: {\r\n            xanchor: \"right\",\r\n            font: {\r\n                family: fontFamily,\r\n                size: 13\r\n            }\r\n        },\r\n    };\r\n    var config = {\r\n        responsive: true\r\n    };\r\n\r\n    Plotly.newPlot('pieChartDiv', piePlotData, layout, config);\r\n}\r\n\r\n/**\r\n * Build matched data object from PGS/23andMe data without plotting.\r\n * Extracts the data processing logic from plotAllMatchByEffect4 for reuse.\r\n * @param {Object} data - PGS23.data-like object containing pgs and 23andMe match data\r\n * @returns {Object} Matched data object with matched, not_matched, all, matched_by_alleles\r\n */\r\nfunction buildMatchedData(data) {\r\n    const obj = {};\r\n    const indChr = data.pgs.cols.indexOf('hm_chr');\r\n    const indPos = data.pgs.cols.indexOf('hm_pos');\r\n    const indBeta = data.pgs.cols.indexOf('effect_weight');\r\n\r\n    const matched = data.pgsMatchMy23.map(function (v) {\r\n        if (v.length == 2) {\r\n            return v[1];\r\n        } else if (v.length >= 3) {\r\n            return v[2];\r\n        }\r\n    });\r\n\r\n    // Matched data\r\n    const matched_risk = matched.map((j) => j[indBeta]);\r\n    const matched_chrPos = matched.map(j => `Chr${j[indChr]}.${j[indPos]}`);\r\n    obj['matched'] = {\r\n        chrPos: matched_chrPos,\r\n        dt: matched,\r\n        alleles: data.alleles,\r\n        risk: matched_risk,\r\n        category: Array(matched.length).fill(\"matched\")\r\n    };\r\n\r\n    // Not matched data\r\n    const notMatchData = data.pgs.dt.filter(element => !matched.includes(element));\r\n    let not_matched_idx = [...Array(notMatchData.length)]\r\n        .map((_, i) => i).sort((a, b) => (notMatchData[a][4] - notMatchData[b][4]));\r\n    const not_matched = not_matched_idx.map(j => notMatchData[j]);\r\n    const not_matched_chrPos = not_matched.map(j => `Chr${j[indChr]}.${j[indPos]}`);\r\n    const not_matched_risk = not_matched.map((yi) => yi[indBeta]);\r\n    \r\n    obj['not_matched'] = {\r\n        chrPos: not_matched_chrPos,\r\n        dt: not_matched,\r\n        risk: not_matched_risk,\r\n        category: Array(not_matched.length).fill(`${not_matched.length} not matched`)\r\n    };\r\n\r\n    // All variants\r\n    const allData = data.pgs.dt;\r\n    const allData_chrPos = allData.map(j => `Chr${j[indChr]}.${j[indPos]}`);\r\n    const allData_risk = allData.map((yi) => yi[indBeta]);\r\n    obj['all'] = {\r\n        chrPos: allData_chrPos,\r\n        dt: allData,\r\n        risk: allData_risk\r\n    };\r\n\r\n    // Matched by alleles (zero, one, two)\r\n    const zero_allele = matched.filter((ele, idx) => data.alleles[idx] == 0);\r\n    const zero_allele_idx = data.alleles.map((elm, idx) => elm == 0 ? idx : '').filter(String);\r\n    const one_allele = matched.filter((ele, idx) => data.alleles[idx] == 1);\r\n    const one_allele_idx = data.alleles.map((elm, idx) => elm == 1 ? idx : '').filter(String);\r\n    const two_allele = matched.filter((ele, idx) => data.alleles[idx] == 2);\r\n    const two_allele_idx = data.alleles.map((elm, idx) => elm == 2 ? idx : '').filter(String);\r\n\r\n    obj['matched_by_alleles'] = {\r\n        zero_allele: {\r\n            chrPos: zero_allele_idx.map(i => `Chr${matched[i][indChr]}.${matched[i][indPos]}`),\r\n            dt: zero_allele,\r\n            risk: zero_allele_idx.map(i => matched[i][indBeta]),\r\n            count: zero_allele.length\r\n        },\r\n        one_allele: {\r\n            chrPos: one_allele_idx.map(i => `Chr${matched[i][indChr]}.${matched[i][indPos]}`),\r\n            dt: one_allele,\r\n            risk: one_allele_idx.map(i => matched[i][indBeta]),\r\n            count: one_allele.length\r\n        },\r\n        two_allele: {\r\n            chrPos: two_allele_idx.map(i => `Chr${matched[i][indChr]}.${matched[i][indPos]}`),\r\n            dt: two_allele,\r\n            risk: two_allele_idx.map(i => matched[i][indBeta]),\r\n            count: two_allele.length\r\n        }\r\n    };\r\n\r\n    // Compute beta sums for AI analysis\r\n    obj.betaSums = {\r\n        matchedPositive: matched_risk.filter(b => b > 0).reduce((s, b) => s + b, 0),\r\n        matchedNegative: matched_risk.filter(b => b < 0).reduce((s, b) => s + b, 0),\r\n        unmatchedPositive: not_matched_risk.filter(b => b > 0).reduce((s, b) => s + b, 0),\r\n        unmatchedNegative: not_matched_risk.filter(b => b < 0).reduce((s, b) => s + b, 0)\r\n    };\r\n\r\n    // Top contributing variants (sorted by absolute beta * allele)\r\n    if (data.calcRiskScore) {\r\n        const contributions = data.calcRiskScore.map((score, idx) => ({\r\n            idx,\r\n            score,\r\n            chrPos: matched_chrPos[idx],\r\n            beta: matched_risk[idx],\r\n            allele: data.alleles[idx]\r\n        })).filter(c => c.score !== 0).sort((a, b) => Math.abs(b.score) - Math.abs(a.score));\r\n        obj.topContributors = contributions.slice(0, 10);\r\n    }\r\n\r\n    return obj;\r\n}\r\n\r\n/**\r\n * Process all PRS results and store matched data in window.matchedResults.\r\n * @param {Array} validResults - Array of PRS results with plotting data\r\n */\r\nfunction processAllResults(validResults) {\r\n    const defaultCols = ['rsID', 'hm_chr', 'hm_pos', 'effect_allele', 'effect_weight', 'other_allele', 'hm_inferOtherAllele'];\r\n    window.matchedResults = {};\r\n\r\n    validResults.forEach((result) => {\r\n        const userId = result.userId ?? 'Unknown';\r\n        const pgsId = result.pgsId ?? 'Unknown';\r\n        const key = `${userId}_${pgsId}`;\r\n\r\n        // Build PGS23.data-like object\r\n        const pgsData = {\r\n            pgs: {\r\n                cols: result.pgs?.cols ?? defaultCols,\r\n                dt: result.organized?.all?.dt ?? [],\r\n                meta: {\r\n                    pgs_id: pgsId,\r\n                    trait_mapped: result.organized?.summary?.trait ?? ''\r\n                }\r\n            },\r\n            pgsMatchMy23: result.pgsMatchMy23,\r\n            alleles: result.alleles,\r\n            calcRiskScore: result.calcRiskScore,\r\n            PRS: result.PRS\r\n        };\r\n\r\n        try {\r\n            const matchedData = buildMatchedData(pgsData);\r\n            window.matchedResults[key] = {\r\n                userId,\r\n                userName: result.userName ?? '',\r\n                pgsId,\r\n                PRS: result.PRS,\r\n                trait: result.organized?.summary?.trait ?? '',\r\n                matchedData,\r\n                timestamp: new Date().toISOString()\r\n            };\r\n        } catch (err) {\r\n            console.error(`Error processing result for ${key}:`, err);\r\n        }\r\n    });\r\n\r\n    // console.log(`Processed ${Object.keys(window.matchedResults).length} results into matchedResults`, window.matchedResults);\r\n}\r\n\r\n/**\r\n * Plot all matched variants by effect weight (beta)\r\n * Creates a scatter plot showing matched and unmatched variants sorted by effect\r\n * @param {Object} data - PGS23.data object containing pgs and 23andMe match data\r\n * @param {HTMLElement} dv2 - Error/alert div element\r\n * @param {HTMLElement} dv - Main plot div element\r\n */\r\nfunction plotAllMatchByEffect4(data = PGS23.data, dv2 = document.getElementById('errorDiv'), dv = document.getElementById('plotAllMatchByEffectDiv')) {\r\n    //https://community.plotly.com/t/fill-shade-a-chart-above-a-specific-y-value-in-plotlyjs/5133\r\n    // console.log(\"plotAllMatchByEffect4 called with data\", data)\r\n    const obj = {}\r\n    const indChr = data.pgs.cols.indexOf('hm_chr')\r\n    const indPos = data.pgs.cols.indexOf('hm_pos')\r\n    const indBeta = data.pgs.cols.indexOf('effect_weight')\r\n\r\n    // QC to check when two or more 23andMe variants mapped to pgs variant\r\n    if (!dv2) {\r\n        dv2 = document.createElement('div')\r\n        document.body.appendChild(dv2)\r\n    }\r\n    dv2.innerHTML = ''\r\n    let duplicate = ''\r\n    \r\n    const matched = data.pgsMatchMy23.map(function (v) {\r\n        //console.log(\"data.pgsMatchMy23\",v)\r\n        if (v.length == 2) {\r\n            return v[1]\r\n\r\n        } else if (v.length == 3) {\r\n            // console.log(\"two 23andme SNPS mapped to one pgs variant\", v)\r\n            duplicate += `<span style=\"font-size:small; color: blue\">Alert : two 23andMe variants mapped to pgs variant : chr.position ${v[2][indChr] + \".\" + v[2][indPos]}<br>Only the first 23andMe variant is used: ${v[0]}</span><br>`\r\n            dv2.innerHTML = duplicate\r\n            return v[2]\r\n        } else if (v.length > 3) {\r\n            duplicate += `<span style=\"font-size:small; color: blue\">Alert : more than two 23andMe variants mapped to a pgs variant<br>please check 23andMe file for duplicate chromosome.position</span><br>`\r\n            dv2.innerHTML = duplicate\r\n            // console.log(\"more than 2 23andme SNPS mapped to one pgs variant\", v)\r\n            return v[2]\r\n        }\r\n    })\r\n    // console.log(\"matched variants\", matched)\r\n    // separate pgs.dt into 2 (matches and non matches) arrays and then sort by effect  \r\n    // \" matched\" data\r\n\r\n    const matched_risk = matched.map((j) => {\r\n        return j[indBeta]\r\n    })\r\n\r\n    const matched_chrPos = matched.map(j => {\r\n        return `Chr${j[indChr]}.${j[indPos]}`\r\n    })\r\n    obj['matched'] = {}\r\n    obj.matched.chrPos = matched_chrPos\r\n    obj.matched.dt = matched\r\n    obj.matched.alleles = data.alleles\r\n    obj.matched.risk = matched_risk\r\n    obj.matched.category = Array(matched.length).fill(\"matched\")\r\n\r\n    //     // NON-MATCHED --------------------------------------------------------------------------------------------\r\n    const notMatchData = data.pgs.dt.filter(element => !matched.includes(element)); // \"not matched\" data\r\n\r\n    // sort by effect\r\n    let not_matched_idx = [...Array(notMatchData.length)]\r\n        .map((_, i) => i).sort((a, b) => (notMatchData[a][4] - notMatchData[b][4])) //match indexes\r\n    const not_matched = not_matched_idx.map(j => {\r\n        let xi = notMatchData[j]\r\n        return xi\r\n    })\r\n    const not_matched_chrPos = not_matched.map(j => {\r\n        return `Chr${j[indChr]}.${j[indPos]}`\r\n    })\r\n\r\n    const not_matched_risk = not_matched.map((yi, i) => yi[indBeta])\r\n\r\n    obj['not_matched'] = {}\r\n    obj.not_matched.chrPos = not_matched_chrPos\r\n    obj.not_matched.dt = not_matched\r\n    obj.not_matched.risk = not_matched_risk\r\n    const fill_no_match = `${not_matched.length} not matched`\r\n    obj.not_matched.category = Array(not_matched.length).fill(fill_no_match)\r\n    obj.not_matched.size = Array(not_matched.length).fill(\"9\")\r\n    obj.not_matched.color = Array(not_matched.length).fill(\"rgb(140, 140, 140)\")\r\n    obj.not_matched.opacity = Array(not_matched.length).fill(\"0.5\")\r\n    obj.not_matched.symbol = Array(not_matched.length).fill(\"x\")\r\n    obj.not_matched.hoverinfo = Array(not_matched.length).fill(\"all\")\r\n    // ALL VARIANTS -------------------------------------------------------------------------------------\r\n    const allData = data.pgs.dt\r\n\r\n    let allData_idx = [...Array(allData.length)].map((_, i) => i).sort((a, b) => (allData[a][4] - allData[b][4])) //match indexes\r\n    const allData_sorted = allData_idx.map(j => {\r\n        let xi = allData[j]\r\n        return xi\r\n    })\r\n    const allData_chrPos = allData.map(j => {\r\n        return `Chr${j[indChr]}.${j[indPos]}`\r\n    })\r\n\r\n    const allData_risk = allData.map((yi, i) => yi[indBeta])\r\n\r\n    obj['all'] = {}\r\n    obj.all.chrPos = allData_chrPos\r\n    obj.all.dt = allData_sorted\r\n    obj.all.risk = allData_risk\r\n    obj.all.category = Array(allData_sorted.length).fill(\" \")\r\n    obj.all.size = Array(allData_sorted.length).fill(\"10\")\r\n    obj.all.color = Array(allData_sorted.length).fill(\"green\")\r\n    obj.all.opacity = Array(allData_sorted.length).fill(\"0\")\r\n    obj.all.symbol = Array(allData_sorted.length).fill(\"square\")\r\n    obj.all.hoverinfo = Array(allData_sorted.length).fill(\"none\")\r\n    // MATCHED BY alleles---------------------------\r\n    // separate data.pgsMatchMy23 into 3 (dosage #) arrays\r\n\r\n    //https://stackoverflow.com/questions/40415231/how-to-get-an-array-of-values-based-on-an-array-of-indexes\r\n    const zero_allele = matched.filter((ele, idx) => data.alleles[idx] == 0);\r\n    const zero_allele_idx = data.alleles.map((elm, idx) => elm == 0 ? idx : '')\r\n        .filter(String);\r\n    const one_allele = matched.filter((ele, idx) => data.alleles[idx] == 1);\r\n    const one_allele_idx = data.alleles.map((elm, idx) => elm == 1 ? idx : '')\r\n        .filter(String);\r\n    const two_allele = matched.filter((ele, idx) => data.alleles[idx] == 2);\r\n    const two_allele_idx = data.alleles.map((elm, idx) => elm == 2 ? idx : '')\r\n        .filter(String);\r\n\r\n    // x (chr pos)  y (betas or betas*dosage) plot data\r\n    const zero_allele_chrpos = zero_allele_idx.map(i => `Chr${matched[i][indChr]}.${matched[i][indPos]}`)\r\n    const one_allele_chrpos = one_allele_idx.map(i => `Chr${matched[i][indChr]}.${matched[i][indPos]}`)\r\n    const two_allele_chrpos = two_allele_idx.map(i => `Chr${matched[i][indChr]}.${matched[i][indPos]}`)\r\n\r\n    obj['matched_by_alleles'] = {}\r\n    obj.matched_by_alleles.zero_allele = {}\r\n    obj.matched_by_alleles.one_allele = {}\r\n    obj.matched_by_alleles.two_allele = {}\r\n\r\n    obj.matched_by_alleles.zero_allele.chrPos = zero_allele_chrpos\r\n    obj.matched_by_alleles.one_allele.chrPos = one_allele_chrpos\r\n    obj.matched_by_alleles.two_allele.chrPos = two_allele_chrpos\r\n    obj.matched_by_alleles.zero_allele.dt = zero_allele\r\n    obj.matched_by_alleles.one_allele.dt = one_allele\r\n    obj.matched_by_alleles.two_allele.dt = two_allele\r\n    obj.matched_by_alleles.zero_allele.risk = zero_allele_idx.map(i => matched[i][indBeta]);\r\n    obj.matched_by_alleles.one_allele.risk = one_allele_idx.map(i => matched[i][indBeta]);\r\n    obj.matched_by_alleles.two_allele.risk = two_allele_idx.map(i => matched[i][indBeta]);\r\n    obj.matched_by_alleles.zero_allele.category = Array(zero_allele.length).fill(`${zero_allele.length} matched, zero alleles`)\r\n    obj.matched_by_alleles.one_allele.category = Array(one_allele.length).fill(`${one_allele.length} matched, one allele`)\r\n    obj.matched_by_alleles.two_allele.category = Array(two_allele.length).fill(`${two_allele.length} matched, two alleles`)\r\n    obj.matched_by_alleles.zero_allele.size = Array(zero_allele.length).fill(\"8\")\r\n    obj.matched_by_alleles.one_allele.size = Array(one_allele.length).fill(\"8\")\r\n    obj.matched_by_alleles.two_allele.size = Array(two_allele.length).fill(\"10\")\r\n    obj.matched_by_alleles.zero_allele.color = Array(zero_allele.length).fill(\"#17becf\")\r\n    obj.matched_by_alleles.one_allele.color = Array(one_allele.length).fill(\"navy\")\r\n    obj.matched_by_alleles.two_allele.color = Array(two_allele.length).fill(\"#d62728\")\r\n    obj.matched_by_alleles.zero_allele.opacity = Array(zero_allele.length).fill(\"1\")\r\n    obj.matched_by_alleles.one_allele.opacity = Array(one_allele.length).fill(\"1\")\r\n    obj.matched_by_alleles.two_allele.opacity = Array(two_allele.length).fill(\"1\")\r\n    obj.matched_by_alleles.zero_allele.symbol = Array(zero_allele.length).fill(\"0\")\r\n    obj.matched_by_alleles.one_allele.symbol = Array(one_allele.length).fill(\"diamond\")\r\n    obj.matched_by_alleles.two_allele.symbol = Array(two_allele.length).fill(\"square\")\r\n    obj.matched_by_alleles.zero_allele.symbol = Array(zero_allele.length).fill(\"0\")\r\n    obj.matched_by_alleles.one_allele.symbol = Array(one_allele.length).fill(\"diamond\")\r\n    obj.matched_by_alleles.two_allele.symbol = Array(two_allele.length).fill(\"square\")\r\n    obj.matched_by_alleles.zero_allele.hoverinfo = Array(zero_allele.length).fill(\"all\")\r\n    obj.matched_by_alleles.one_allele.hoverinfo = Array(one_allele.length).fill(\"all\")\r\n    obj.matched_by_alleles.two_allele.hoverinfo = Array(two_allele.length).fill(\"all\")\r\n\r\n\r\n    // add matched,all, zero, one and two allele into new array\r\n    //https://stackoverflow.com/questions/64055094/push-multiple-arrays-with-keys-into-single-array\r\n    function Push(data, subdata) {\r\n        return subdata.map((_, i) => {\r\n            return Object.entries(data).reduce((a, [k, arr]) => (a[k] = arr[i], a), {})\r\n        })\r\n    }\r\n    const items = Push(obj.all, obj.all.risk).concat(\r\n        Push(obj.not_matched, obj.not_matched.risk)).concat(\r\n        Push(obj.matched_by_alleles.zero_allele, obj.matched_by_alleles.zero_allele.risk)).concat(\r\n        Push(obj.matched_by_alleles.one_allele, obj.matched_by_alleles.one_allele.risk)).concat(\r\n        Push(obj.matched_by_alleles.two_allele, obj.matched_by_alleles.two_allele.risk))\r\n\r\n    const plotAllMatchByEffectDiv = document.getElementById('plotAllMatchByEffectDiv')\r\n    // Height will be set in layout instead of container\r\n\r\n    // make new objects with id, all mapped to one condition sorted by value\r\n    const cache = []\r\n    const chooseData = [\" \", `${zero_allele.length} matched, zero alleles`, `${one_allele.length} matched, one allele`, `${two_allele.length} matched, two alleles`, `${not_matched.length} not matched`]\r\n\r\n    const plotData = items\r\n        .filter(function (item) {\r\n            if (chooseData.indexOf(item.category) === -1) {\r\n                cache.push(item);\r\n                return false;\r\n            } else {\r\n                return true;\r\n            }\r\n        })\r\n        .sort((a, b) => parseFloat(a.risk) - parseFloat(b.risk))\r\n\r\n    // re-order plot legend manually, order conditions list by regex \r\n    const conditions_arr = Array.from(new Set(plotData.map(a => a.category)))\r\n\r\n    var rx_not = new RegExp(/\\bnot?(?!S)/);\r\n    var rx_zero = new RegExp(/\\bzero?(?!S)/);\r\n    var rx_one = new RegExp(/\\bone?(?!S)/);\r\n    var rx_two = new RegExp(/\\btwo?(?!S)/);\r\n    function getSortingKey(value) {\r\n        if (rx_not.test(value)) {\r\n            return 2\r\n        }\r\n        if (rx_zero.test(value)) {\r\n            return 3\r\n        }\r\n        if (rx_one.test(value)) {\r\n            return 4\r\n        }\r\n        if (rx_two.test(value)) {\r\n            return 5\r\n        }\r\n        return 1;\r\n    }\r\n    const conditions = conditions_arr.sort(function (x, y) {\r\n        return getSortingKey(x) - getSortingKey(y);\r\n    });\r\n    const traces = [];\r\n    conditions.forEach(function (category) {\r\n        var newArray = plotData.filter(function (el) {\r\n            return el.category == category;\r\n        });\r\n        traces.push({\r\n            y: newArray.map(a => a.chrPos),\r\n            x: newArray.map(a => a.risk),\r\n            name: category,\r\n            hoverinfo: newArray[0].hoverinfo,\r\n            mode: 'markers',\r\n            type: 'scatter',\r\n            opacity: newArray[0].opacity,\r\n            marker: {\r\n                color: newArray[0].color,\r\n                symbol: newArray[0].symbol,\r\n                size: newArray[0].size,\r\n            }\r\n        })\r\n    })\r\n\r\n\r\n    var layout = {\r\n        title: {\r\n            text: `<span >PGS#${data.pgs.meta.pgs_id.replace(/^.*0+/, '')}: β's for ${data.pgs.dt.length} ${data.pgs.meta.trait_mapped} variants, PRS ${Math.round(data.PRS * 1000) / 1000}</span>`,\r\n            font: {\r\n                size: 19\r\n            }\r\n        },\r\n        height: Math.max(400, 50 + data.pgs.dt.length * 8), // Dynamic height based on number of variants\r\n        margin: {\r\n            l: 140,\r\n        },\r\n\r\n        showlegend: true,\r\n        legend: {\r\n            orientation: 'v',\r\n            font: {\r\n                size: 16\r\n            }\r\n        },\r\n        yaxis: {\r\n            // remove white space at top and bottom of y axis caused by using \"markers\"\r\n            range: [-1, data.pgs.dt.length],\r\n            showgrid: true,\r\n            showline: true,\r\n            mirror: 'ticks',\r\n            gridcolor: '#bdbdbd',\r\n            gridwidth: 1,\r\n            linecolor: '#636363',\r\n            title: {\r\n                text: '<span style=\"font-size:large\">Chromosome and Position</span>',\r\n                font: {\r\n                    size: 24\r\n                },\r\n                standoff: 10\r\n            },\r\n            tickfont: {\r\n                size: 10.5\r\n            },\r\n        },\r\n        xaxis: {\r\n            font: {\r\n                size: 18\r\n            },\r\n            tickfont: {\r\n                size: 16\r\n            },\r\n            title: '<span style=\"font-size:large\">effect weight (w)</span>',\r\n            linewidth: 1,\r\n            mirror: true,\r\n        }\r\n    }\r\n\r\n    dv.innerHTML = ''\r\n\r\n    var config = {\r\n        responsive: true\r\n    }\r\n    data.plot = obj\r\n    data.plot.traces = traces\r\n\r\n    Plotly.newPlot(dv, traces, layout, config)\r\n    pieChart(data)\r\n    tabulateAllMatchByEffect()\r\n}\r\n\r\n/**\r\n * Create a table showing matched variants with their effect weights and allele counts\r\n * @param {Object} data - PGS23.data object containing match data and risk scores\r\n * @param {HTMLElement} div - Target div element for the table\r\n */\r\nfunction tabulateAllMatchByEffect(data = PGS23.data, div = document.getElementById('tabulateAllMatchByEffectDiv')) {\r\n\r\n    if (!div) {\r\n        div = document.createElement('div')\r\n        document.body.appendChild(div)\r\n    }\r\n    // The score is the weighted sum on the scale of the original model. `effect_weight`\r\n    // is not assumed to be a beta / log(OR) — the PGS Catalog reports weight_type\r\n    // separately and it is often \"NR\" (not reported) — so the values are labelled as\r\n    // effect weights. exp(PRS) is shown separately, and is only interpretable as a\r\n    // relative risk / odds ratio when weight_type really is beta or log(OR).\r\n    const round3 = (v) => (Number.isFinite(v) ? Math.round(v * 1000) / 1000 : null);\r\n    const prs = Number.isFinite(data.PRS) ? data.PRS : null;\r\n    const weightType = data.pgs?.meta?.weight_type ?? 'NR';\r\n    const expNote = weightType === 'beta' || weightType === 'log(OR)' || weightType === 'log(HR)'\r\n        ? `interpretable as a relative risk because <code>weight_type</code> is <code>${weightType}</code>`\r\n        : `<strong>not</strong> interpretable as a relative risk: <code>weight_type</code> is <code>${weightType}</code>, so the effect weights are not known to be on a log scale`;\r\n\r\n    div.innerHTML = `\r\n        <div style=\"font-size:x-large\">PRS = &Sigma;<sub>j</sub> (w<sub>j</sub> &middot; z<sub>j</sub>) = ${prs === null ? '&ndash;' : round3(prs)}</div>\r\n        <div class=\"text-muted small mt-1\">\r\n            where <strong>w<sub>j</sub></strong> = PGS Catalog <code>effect_weight</code> of variant <em>j</em>\r\n            (<code>weight_type</code>: <code>${weightType}</code>)<br>\r\n            and <strong>z<sub>j</sub></strong> = effect-allele dosage of variant <em>j</em>, 0, 1, or 2<br>\r\n            summed over matched variants only, on the scale of the original model (not normalized).\r\n        </div>\r\n        <div class=\"mt-2\">exp(PRS) = ${prs === null ? '&ndash;' : round3(Math.exp(prs))}\r\n            <span class=\"text-muted small\">&mdash; ${expNote}.</span>\r\n        </div>\r\n        <hr><div>Top 20 contributing variants</div><hr>`\r\n    // sort by absolute value\r\n    let jj = [...Array(data.calcRiskScore.length)].map((_, i) => i) // match indexes\r\n    // remove zero effect\r\n    jj = jj.filter(x => data.calcRiskScore[x] != 0)\r\n    jj.sort((a, b) => (data.calcRiskScore[b] - data.calcRiskScore[a])) // indexes sorted by absolute value\r\n    jj = jj.slice(0, 20) // Limit to top 20\r\n\r\n    // tabulate\r\n    let tb = document.createElement('table')\r\n    div.appendChild(tb)\r\n    let thead = document.createElement('thead')\r\n    tb.appendChild(thead)\r\n    const hHelp = (text) => ` <span class=\"col-help\" tabindex=\"0\" role=\"button\" aria-haspopup=\"true\" aria-expanded=\"false\" aria-label=\"Column help\" data-help=\"${text}\">?</span>`\r\n    thead.innerHTML = `<tr>`\r\n        + `<th align=\"left\">#</th>`\r\n        + `<th>w${hHelp('effect_weight of the variant, as reported in the PGS Catalog scoring file')}</th>`\r\n        + `<th align=\"left\">z${hHelp('Effect-allele dosage: how many copies (0, 1, or 2) of the effect allele this genome carries')}</th>`\r\n        + `<th align=\"right\"> w*z${hHelp('Contribution of this variant to the total PRS (weight x dosage)')}</th>`\r\n        + `<th align=\"center\">variant${hHelp('Variant as chromosome:position and other>effect alleles, on the GRCh37 assembly')}</th>`\r\n        + `<th align=\"center\">dbSNP${hHelp('Link to this rsID in NCBI dbSNP, the reference variant database')}</th>`\r\n        + `<th align=\"left\">SNPedia${hHelp('Link to this rsID in SNPedia, a wiki describing the known phenotype associations of the variant')} </th>`\r\n        + `</tr>`\r\n    let tbody = document.createElement('tbody')\r\n    tb.appendChild(tbody)\r\n    const indChr = data.pgs.cols.indexOf('hm_chr')\r\n    const indPos = data.pgs.cols.indexOf('hm_pos')\r\n\r\n    let indOther_allele = data.pgs.cols.indexOf('other_allele')\r\n    if (indOther_allele == -1) {\r\n        indOther_allele = data.pgs.cols.indexOf('hm_inferOtherAllele')\r\n    }\r\n    const indEffect_allele = data.pgs.cols.indexOf('effect_allele')\r\n    const indEffect_weight = data.pgs.cols.indexOf('effect_weight')\r\n\r\n    let n = jj.length\r\n\r\n    jj.forEach((ind, i) => {\r\n        //let jnd=n-ind\r\n\r\n        let row = document.createElement('tr')\r\n        tbody.appendChild(row)\r\n\r\n        let xi = data.pgsMatchMy23[ind]\r\n        let my_23idx = 1\r\n        if (xi.length > 2) { my_23idx = 2 }\r\n        row.innerHTML = `<tr><td align=\"left\">${i + 1})</td><td align=\"center\">${Math.round(xi[my_23idx][indEffect_weight] * 1000) / 1000}</td><td align=\"center\">${data.alleles[ind]}</td><td align=\"left\">${Math.round(data.calcRiskScore[ind] * 1000) / 1000}</td><td align=\"left\" style=\"font-size:small;color:darkgreen\"><a href=\"https://myvariant.info/v1/variant/chr${xi.at(-1)[indChr]}:g.${xi.at(-1)[indPos]}${xi.at(-1)[indOther_allele]}>${xi.at(-1)[indEffect_allele]}\" target=\"_blank\">Chr${xi.at(-1)[indChr]}.${xi.at(-1)[indPos]}:g.${xi.at(-1)[indOther_allele]}>${xi.at(-1)[indEffect_allele]}</a></td><td align=\"left\"><a href=\"https://www.ncbi.nlm.nih.gov/snp/${xi[0][0]}\" target=\"_blank\">${xi[0][0]}</a><td align=\"left\"><a href=\"https://www.snpedia.com/index.php/${xi[0][0]}\" target=\"_blank\">  wiki   </a></td></tr>`\r\n    })\r\n}\r\n\r\n/**\r\n * Render Plot PRS tab content.\r\n * Called when the PlotPRS tab is opened.\r\n * Uses window.prsResults from calculatePrs.js if available.\r\n */\r\n/**\r\n * Plot a specific PRS result by index.\r\n * @param {number} index - Index of the result in the valid results array\r\n * @param {Array} validResults - Array of results with plotting data\r\n */\r\nfunction plotResultByIndex(index, validResults) {\r\n    const errorDiv = document.getElementById('errorDiv');\r\n    const plotDiv = document.getElementById('plotAllMatchByEffectDiv');\r\n    \r\n    const resultWithData = validResults[index];\r\n    if (!resultWithData) return;\r\n    \r\n    // Default cols array if not stored in result\r\n    const defaultCols = ['rsID', 'hm_chr', 'hm_pos', 'effect_allele', 'effect_weight', 'other_allele', 'hm_inferOtherAllele'];\r\n    \r\n    // Build PGS23.data-like object for plotting functions\r\n    const pgsData = {\r\n        pgs: {\r\n            cols: resultWithData.pgs?.cols ?? defaultCols,\r\n            dt: resultWithData.organized?.all?.dt ?? [],\r\n            meta: {\r\n                pgs_id: resultWithData.pgsId,\r\n                trait_mapped: resultWithData.organized?.summary?.trait ?? '',\r\n                // Reported by the scoring file; drives the effect-weight labelling.\r\n                weight_type: resultWithData.pgs?.meta?.weight_type\r\n                    ?? resultWithData.weightType\r\n                    ?? resultWithData.organized?.summary?.weightType\r\n                    ?? 'NR'\r\n            }\r\n        },\r\n        pgsMatchMy23: resultWithData.pgsMatchMy23,\r\n        alleles: resultWithData.alleles,\r\n        calcRiskScore: resultWithData.calcRiskScore,\r\n        PRS: resultWithData.PRS\r\n    };\r\n    \r\n    // Set global PGS23 for the plotting functions\r\n    window.PGS23 = window.PGS23 || {};\r\n    window.PGS23.data = pgsData;\r\n    \r\n    try {\r\n        inspectFiles(resultWithData);\r\n        plotAllMatchByEffect4(pgsData, errorDiv, plotDiv);\r\n        // Show the hr separator when results are rendered\r\n        const plotPrsHr = document.getElementById('plotPrsHr');\r\n        if (plotPrsHr) plotPrsHr.style.display = '';\r\n    } catch (err) {\r\n        console.error('Error rendering PRS plot:', err);\r\n        if (plotDiv) {\r\n            plotDiv.innerHTML = `<div class=\"alert alert-danger\">\r\n                <strong>Error rendering plot:</strong> ${err.message}\r\n            </div>`;\r\n        }\r\n    }\r\n}\r\n\r\nfunction renderPlotPRS() {\r\n    const errorDiv = document.getElementById('errorDiv');\r\n    const plotDiv = document.getElementById('plotAllMatchByEffectDiv');\r\n    const tableDiv = document.getElementById('tabulateAllMatchByEffectDiv');\r\n    const pieChartDiv = document.getElementById('pieChartDiv');\r\n    const pieChartHeading = document.getElementById('pieChartHeading');\r\n    const plotPrsHr = document.getElementById('plotPrsHr');\r\n    const inspectFilesDiv = document.getElementById('inspectFilesDiv');\r\n    \r\n    // Check if we have PRS results from calculatePrs.js\r\n    const prsResults = window.prsResults ?? [];\r\n    \r\n    if (prsResults.length === 0) {\r\n        if (errorDiv) {\r\n            errorDiv.innerHTML = `<div class=\"alert alert-info\">\r\n                <strong>No PRS results available.</strong><br>\r\n                Please go to the <strong>Calculate PRS</strong> tab first and run a PRS calculation. <a href=\"#\" onclick=\"document.querySelector('.tablinks[onclick*=PRS]').click(); return false;\">Go to Calculate PRS →</a>\r\n            </div>`;\r\n        }\r\n        if (plotDiv) {\r\n            plotDiv.innerHTML = '';\r\n            plotDiv.style.minHeight = '0';\r\n            plotDiv.style.height = 'auto';\r\n        }\r\n        if (tableDiv) tableDiv.innerHTML = '';\r\n        if (pieChartDiv) {\r\n            pieChartDiv.innerHTML = '';\r\n            pieChartDiv.style.minHeight = '0';\r\n            pieChartDiv.style.height = 'auto';\r\n        }\r\n        if (pieChartHeading) pieChartHeading.style.display = 'none';\r\n        const pieChartCaption = document.getElementById('pieChartCaption');\r\n        if (pieChartCaption) pieChartCaption.style.display = 'none';\r\n        if (plotPrsHr) plotPrsHr.style.display = 'none';\r\n        if (inspectFilesDiv) inspectFilesDiv.style.display = 'none';\r\n        return;\r\n    }\r\n    \r\n    // Filter to results with plotting data\r\n    const validResults = prsResults.filter(r => r.organized && r.pgsMatchMy23);\r\n    \r\n    if (validResults.length === 0) {\r\n        if (plotDiv) {\r\n            plotDiv.innerHTML = `<div class=\"alert alert-warning\">\r\n                <strong>PRS results found but no detailed match data available.</strong><br>\r\n                The results may have been loaded from cache. Try clearing the cache and recalculating.\r\n            </div>`;\r\n        }\r\n        return;\r\n    }\r\n    \r\n    // Store valid results globally for the dropdown handler\r\n    window._plotPrsValidResults = validResults;\r\n    \r\n    // Process all results and store matched data in window.matchedResults\r\n    processAllResults(validResults);\r\n    \r\n    // Create or update dropdown selector\r\n    let selectorDiv = document.getElementById('plotPrsSelectorDiv');\r\n    if (!selectorDiv) {\r\n        selectorDiv = document.createElement('div');\r\n        selectorDiv.id = 'plotPrsSelectorDiv';\r\n        selectorDiv.className = 'mb-3';\r\n        // Insert at top, before errorDiv (below the description paragraph)\r\n        errorDiv?.parentNode?.insertBefore(selectorDiv, errorDiv);\r\n    }\r\n    \r\n    // Build dropdown options\r\n    const options = validResults.map((r, idx) => {\r\n        const userId = r.userId ?? 'Unknown';\r\n        const userName = r.userName ? ` (${r.userName})` : '';\r\n        const pgsId = r.pgsId ?? 'Unknown';\r\n        const prs = typeof r.PRS === 'number' ? ` | PRS: ${r.PRS.toFixed(4)}` : '';\r\n        return `<option value=\"${idx}\">${userId}${userName} - ${pgsId}${prs}</option>`;\r\n    }).join('');\r\n    \r\n    selectorDiv.innerHTML = `\r\n        <label for=\"plotPrsSelect\" class=\"form-label\"><strong>Select Result:</strong></label>\r\n        <select id=\"plotPrsSelect\" class=\"form-select form-select-sm\" style=\"max-width: 400px;\">\r\n            ${options}\r\n        </select>\r\n    `;\r\n    \r\n    // Add change handler\r\n    const selectEl = document.getElementById('plotPrsSelect');\r\n    selectEl.onchange = function() {\r\n        const idx = parseInt(this.value, 10);\r\n        plotResultByIndex(idx, window._plotPrsValidResults);\r\n    };\r\n    \r\n    // Plot the first result by default\r\n    plotResultByIndex(0, validResults);\r\n}\r\n\r\n// Expose functions globally for use in HTML\r\nwindow.plotAllMatchByEffect4 = 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s,l=i[i.length-1];for(let e=0;e<i.length;++e){s=l,l=i[e];const n=2*Math.floor(r[l]/3),f=o[n],u=o[n+1],c=4*s,h=this._project(f,u,a[c+2],a[c+3]);h&&this._renderSegment(f,u,h[0],h[1],t)}return e&&e.value()}renderBounds(t){const e=null==t?t=new As:void 0;return t.rect(this.xmin,this.ymin,this.xmax-this.xmin,this.ymax-this.ymin),e&&e.value()}renderCell(t,e){const n=null==e?e=new As:void 0,r=this._clip(t);if(null===r||!r.length)return;e.moveTo(r[0],r[1]);let i=r.length;for(;r[0]===r[i-2]&&r[1]===r[i-1]&&i>1;)i-=2;for(let t=2;t<i;t+=2)r[t]===r[t-2]&&r[t+1]===r[t-1]||e.lineTo(r[t],r[t+1]);return e.closePath(),n&&n.value()}*cellPolygons(){const{delaunay:{points:t}}=this;for(let e=0,n=t.length/2;e<n;++e){const t=this.cellPolygon(e);t&&(t.index=e,yield t)}}cellPolygon(t){const e=new Ss;return this.renderCell(t,e),e.value()}_renderSegment(t,e,n,r,i){let o;const a=this._regioncode(t,e),s=this._regioncode(n,r);0===a&&0===s?(i.moveTo(t,e),i.lineTo(n,r)):(o=this._clipSegment(t,e,n,r,a,s))&&(i.moveTo(o[0],o[1]),i.lineTo(o[2],o[3]))}contains(t,e,n){return(e=+e)==e&&(n=+n)==n&&this.delaunay._step(t,e,n)===t}*neighbors(t){const e=this._clip(t);if(e)for(const n of this.delaunay.neighbors(t)){const t=this._clip(n);if(t)t:for(let r=0,i=e.length;r<i;r+=2)for(let o=0,a=t.length;o<a;o+=2)if(e[r]===t[o]&&e[r+1]===t[o+1]&&e[(r+2)%i]===t[(o+a-2)%a]&&e[(r+3)%i]===t[(o+a-1)%a]){yield n;break t}}}_cell(t){const{circumcenters:e,delaunay:{inedges:n,halfedges:r,triangles:i}}=this,o=n[t];if(-1===o)return null;const a=[];let s=o;do{const n=Math.floor(s/3);if(a.push(e[2*n],e[2*n+1]),s=s%3==2?s-2:s+1,i[s]!==t)break;s=r[s]}while(s!==o&&-1!==s);return a}_clip(t){if(0===t&&1===this.delaunay.hull.length)return[this.xmax,this.ymin,this.xmax,this.ymax,this.xmin,this.ymax,this.xmin,this.ymin];const e=this._cell(t);if(null===e)return null;const{vectors:n}=this,r=4*t;return this._simplify(n[r]||n[r+1]?this._clipInfinite(t,e,n[r],n[r+1],n[r+2],n[r+3]):this._clipFinite(t,e))}_clipFinite(t,e){const n=e.length;let r,i,o,a,s=null,l=e[n-2],f=e[n-1],u=this._regioncode(l,f),c=0;for(let h=0;h<n;h+=2)if(r=l,i=f,l=e[h],f=e[h+1],o=u,u=this._regioncode(l,f),0===o&&0===u)a=c,c=0,s?s.push(l,f):s=[l,f];else{let e,n,h,p,d;if(0===o){if(null===(e=this._clipSegment(r,i,l,f,o,u)))continue;[n,h,p,d]=e}else{if(null===(e=this._clipSegment(l,f,r,i,u,o)))continue;[p,d,n,h]=e,a=c,c=this._edgecode(n,h),a&&c&&this._edge(t,a,c,s,s.length),s?s.push(n,h):s=[n,h]}a=c,c=this._edgecode(p,d),a&&c&&this._edge(t,a,c,s,s.length),s?s.push(p,d):s=[p,d]}if(s)a=c,c=this._edgecode(s[0],s[1]),a&&c&&this._edge(t,a,c,s,s.length);else if(this.contains(t,(this.xmin+this.xmax)/2,(this.ymin+this.ymax)/2))return[this.xmax,this.ymin,this.xmax,this.ymax,this.xmin,this.ymax,this.xmin,this.ymin];return s}_clipSegment(t,e,n,r,i,o){const a=i<o;for(a&&([t,e,n,r,i,o]=[n,r,t,e,o,i]);;){if(0===i&&0===o)return a?[n,r,t,e]:[t,e,n,r];if(i&o)return null;let s,l,f=i||o;8&f?(s=t+(n-t)*(this.ymax-e)/(r-e),l=this.ymax):4&f?(s=t+(n-t)*(this.ymin-e)/(r-e),l=this.ymin):2&f?(l=e+(r-e)*(this.xmax-t)/(n-t),s=this.xmax):(l=e+(r-e)*(this.xmin-t)/(n-t),s=this.xmin),i?(t=s,e=l,i=this._regioncode(t,e)):(n=s,r=l,o=this._regioncode(n,r))}}_clipInfinite(t,e,n,r,i,o){let a,s=Array.from(e);if((a=this._project(s[0],s[1],n,r))&&s.unshift(a[0],a[1]),(a=this._project(s[s.length-2],s[s.length-1],i,o))&&s.push(a[0],a[1]),s=this._clipFinite(t,s))for(let e,n=0,r=s.length,i=this._edgecode(s[r-2],s[r-1]);n<r;n+=2)e=i,i=this._edgecode(s[n],s[n+1]),e&&i&&(n=this._edge(t,e,i,s,n),r=s.length);else this.contains(t,(this.xmin+this.xmax)/2,(this.ymin+this.ymax)/2)&&(s=[this.xmin,this.ymin,this.xmax,this.ymin,this.xmax,this.ymax,this.xmin,this.ymax]);return s}_edge(t,e,n,r,i){for(;e!==n;){let n,o;switch(e){case 5:e=4;continue;case 4:e=6,n=this.xmax,o=this.ymin;break;case 6:e=2;continue;case 2:e=10,n=this.xmax,o=this.ymax;break;case 10:e=8;continue;case 8:e=9,n=this.xmin,o=this.ymax;break;case 9:e=1;continue;case 1:e=5,n=this.xmin,o=this.ymin}r[i]===n&&r[i+1]===o||!this.contains(t,n,o)||(r.splice(i,0,n,o),i+=2)}return i}_project(t,e,n,r){let i,o,a,s=1/0;if(r<0){if(e<=this.ymin)return null;(i=(this.ymin-e)/r)<s&&(a=this.ymin,o=t+(s=i)*n)}else if(r>0){if(e>=this.ymax)return null;(i=(this.ymax-e)/r)<s&&(a=this.ymax,o=t+(s=i)*n)}if(n>0){if(t>=this.xmax)return null;(i=(this.xmax-t)/n)<s&&(o=this.xmax,a=e+(s=i)*r)}else if(n<0){if(t<=this.xmin)return null;(i=(this.xmin-t)/n)<s&&(o=this.xmin,a=e+(s=i)*r)}return[o,a]}_edgecode(t,e){return(t===this.xmin?1:t===this.xmax?2:0)|(e===this.ymin?4:e===this.ymax?8:0)}_regioncode(t,e){return(t<this.xmin?1:t>this.xmax?2:0)|(e<this.ymin?4:e>this.ymax?8:0)}_simplify(t){if(t&&t.length>4){for(let e=0;e<t.length;e+=2){const n=(e+2)%t.length,r=(e+4)%t.length;(t[e]===t[n]&&t[n]===t[r]||t[e+1]===t[n+1]&&t[n+1]===t[r+1])&&(t.splice(n,2),e-=2)}t.length||(t=null)}return t}}const Ns=2*Math.PI,ks=Math.pow;function Ts(t){return t[0]}function Bs(t){return t[1]}function Cs(t,e,n){return[t+Math.sin(t+e)*n,e+Math.cos(t-e)*n]}class zs{static from(t,e=Ts,n=Bs,r){return new zs(\"length\"in t?function(t,e,n,r){const i=t.length,o=new Float64Array(2*i);for(let a=0;a<i;++a){const i=t[a];o[2*a]=e.call(r,i,a,t),o[2*a+1]=n.call(r,i,a,t)}return o}(t,e,n,r):Float64Array.from(function*(t,e,n,r){let i=0;for(const o of t)yield e.call(r,o,i,t),yield n.call(r,o,i,t),++i}(t,e,n,r)))}constructor(t){this._delaunator=new gs(t),this.inedges=new Int32Array(t.length/2),this._hullIndex=new Int32Array(t.length/2),this.points=this._delaunator.coords,this._init()}update(){return this._delaunator.update(),this._init(),this}_init(){const t=this._delaunator,e=this.points;if(t.hull&&t.hull.length>2&&function(t){const{triangles:e,coords:n}=t;for(let t=0;t<e.length;t+=3){const r=2*e[t],i=2*e[t+1],o=2*e[t+2];if((n[o]-n[r])*(n[i+1]-n[r+1])-(n[i]-n[r])*(n[o+1]-n[r+1])>1e-10)return!1}return!0}(t)){this.collinear=Int32Array.from({length:e.length/2},(t,e)=>e).sort((t,n)=>e[2*t]-e[2*n]||e[2*t+1]-e[2*n+1]);const t=this.collinear[0],n=this.collinear[this.collinear.length-1],r=[e[2*t],e[2*t+1],e[2*n],e[2*n+1]],i=1e-8*Math.hypot(r[3]-r[1],r[2]-r[0]);for(let t=0,n=e.length/2;t<n;++t){const n=Cs(e[2*t],e[2*t+1],i);e[2*t]=n[0],e[2*t+1]=n[1]}this._delaunator=new gs(e)}else delete this.collinear;const n=this.halfedges=this._delaunator.halfedges,r=this.hull=this._delaunator.hull,i=this.triangles=this._delaunator.triangles,o=this.inedges.fill(-1),a=this._hullIndex.fill(-1);for(let t=0,e=n.length;t<e;++t){const e=i[t%3==2?t-2:t+1];-1!==n[t]&&-1!==o[e]||(o[e]=t)}for(let t=0,e=r.length;t<e;++t)a[r[t]]=t;r.length<=2&&r.length>0&&(this.triangles=new Int32Array(3).fill(-1),this.halfedges=new 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t*this.k+this.y},invert:function(t){return[(t[0]-this.x)/this.k,(t[1]-this.y)/this.k]},invertX:function(t){return(t-this.x)/this.k},invertY:function(t){return(t-this.y)/this.k},rescaleX:function(t){return t.copy().domain(t.range().map(this.invertX,this).map(t.invert,t))},rescaleY:function(t){return t.copy().domain(t.range().map(this.invertY,this).map(t.invert,t))},toString:function(){return\"translate(\"+this.x+\",\"+this.y+\") scale(\"+this.k+\")\"}};var ax=new ox(1,0,0);function sx(t){for(;!t.__zoom;)if(!(t=t.parentNode))return ax;return t.__zoom}function lx(t){t.stopImmediatePropagation()}function fx(t){t.preventDefault(),t.stopImmediatePropagation()}function ux(t){return!(t.ctrlKey&&\"wheel\"!==t.type||t.button)}function cx(){var t=this;return t instanceof SVGElement?(t=t.ownerSVGElement||t).hasAttribute(\"viewBox\")?[[(t=t.viewBox.baseVal).x,t.y],[t.x+t.width,t.y+t.height]]:[[0,0],[t.width.baseVal.value,t.height.baseVal.value]]:[[0,0],[t.clientWidth,t.clientHeight]]}function hx(){return this.__zoom||ax}function px(t){return-t.deltaY*(1===t.deltaMode?.05:t.deltaMode?1:.002)*(t.ctrlKey?10:1)}function dx(){return navigator.maxTouchPoints||\"ontouchstart\"in this}function gx(t,e,n){var r=t.invertX(e[0][0])-n[0][0],i=t.invertX(e[1][0])-n[1][0],o=t.invertY(e[0][1])-n[0][1],a=t.invertY(e[1][1])-n[1][1];return t.translate(i>r?(r+i)/2:Math.min(0,r)||Math.max(0,i),a>o?(o+a)/2:Math.min(0,o)||Math.max(0,a))}function mx(){var t,e,n,r=ux,i=cx,o=gx,a=px,s=dx,l=[0,1/0],f=[[-1/0,-1/0],[1/0,1/0]],u=250,c=ai,h=It(\"start\",\"zoom\",\"end\"),p=0,d=10;function g(t){t.property(\"__zoom\",hx).on(\"wheel.zoom\",x,{passive:!1}).on(\"mousedown.zoom\",M).on(\"dblclick.zoom\",A).filter(s).on(\"touchstart.zoom\",S).on(\"touchmove.zoom\",E).on(\"touchend.zoom touchcancel.zoom\",N).style(\"-webkit-tap-highlight-color\",\"rgba(0,0,0,0)\")}function m(t,e){return(e=Math.max(l[0],Math.min(l[1],e)))===t.k?t:new ox(e,t.x,t.y)}function _(t,e,n){var r=e[0]-n[0]*t.k,i=e[1]-n[1]*t.k;return r===t.x&&i===t.y?t:new ox(t.k,r,i)}function y(t){return[(+t[0][0]+ +t[1][0])/2,(+t[0][1]+ +t[1][1])/2]}function b(t,e,n,r){t.on(\"start.zoom\",function(){v(this,arguments).event(r).start()}).on(\"interrupt.zoom end.zoom\",function(){v(this,arguments).event(r).end()}).tween(\"zoom\",function(){var t=this,o=arguments,a=v(t,o).event(r),s=i.apply(t,o),l=null==n?y(s):\"function\"==typeof n?n.apply(t,o):n,f=Math.max(s[1][0]-s[0][0],s[1][1]-s[0][1]),u=t.__zoom,h=\"function\"==typeof e?e.apply(t,o):e,p=c(u.invert(l).concat(f/u.k),h.invert(l).concat(f/h.k));return function(t){if(1===t)t=h;else{var e=p(t),n=f/e[2];t=new ox(n,l[0]-e[0]*n,l[1]-e[1]*n)}a.zoom(null,t)}})}function v(t,e,n){return!n&&t.__zooming||new w(t,e)}function w(t,e){this.that=t,this.args=e,this.active=0,this.sourceEvent=null,this.extent=i.apply(t,e),this.taps=0}function x(t,...e){if(r.apply(this,arguments)){var n=v(this,e).event(t),i=this.__zoom,s=Math.max(l[0],Math.min(l[1],i.k*Math.pow(2,a.apply(this,arguments)))),u=rn(t);if(n.wheel)n.mouse[0][0]===u[0]&&n.mouse[0][1]===u[1]||(n.mouse[1]=i.invert(n.mouse[0]=u)),clearTimeout(n.wheel);else{if(i.k===s)return;n.mouse=[u,i.invert(u)],Li(this),n.start()}fx(t),n.wheel=setTimeout(function(){n.wheel=null,n.end()},150),n.zoom(\"mouse\",o(_(m(i,s),n.mouse[0],n.mouse[1]),n.extent,f))}}function M(t,...e){if(!n&&r.apply(this,arguments)){var i=t.currentTarget,a=v(this,e,!0).event(t),s=Ke(t.view).on(\"mousemove.zoom\",function(t){if(fx(t),!a.moved){var e=t.clientX-u,n=t.clientY-c;a.moved=e*e+n*n>p}a.event(t).zoom(\"mouse\",o(_(a.that.__zoom,a.mouse[0]=rn(t,i),a.mouse[1]),a.extent,f))},!0).on(\"mouseup.zoom\",function(t){s.on(\"mousemove.zoom mouseup.zoom\",null),cn(t.view,a.moved),fx(t),a.event(t).end()},!0),l=rn(t,i),u=t.clientX,c=t.clientY;un(t.view),lx(t),a.mouse=[l,this.__zoom.invert(l)],Li(this),a.start()}}function A(t,...e){if(r.apply(this,arguments)){var n=this.__zoom,a=rn(t.changedTouches?t.changedTouches[0]:t,this),s=n.invert(a),l=n.k*(t.shiftKey?.5:2),c=o(_(m(n,l),a,s),i.apply(this,e),f);fx(t),u>0?Ke(this).transition().duration(u).call(b,c,a,t):Ke(this).call(g.transform,c,a,t)}}function S(n,...i){if(r.apply(this,arguments)){var o,a,s,l,f=n.touches,u=f.length,c=v(this,i,n.changedTouches.length===u).event(n);for(lx(n),a=0;a<u;++a)l=[l=rn(s=f[a],this),this.__zoom.invert(l),s.identifier],c.touch0?c.touch1||c.touch0[2]===l[2]||(c.touch1=l,c.taps=0):(c.touch0=l,o=!0,c.taps=1+!!t);t&&(t=clearTimeout(t)),o&&(c.taps<2&&(e=l[0],t=setTimeout(function(){t=null},500)),Li(this),c.start())}}function E(t,...e){if(this.__zooming){var n,r,i,a,s=v(this,e).event(t),l=t.changedTouches,u=l.length;for(fx(t),n=0;n<u;++n)i=rn(r=l[n],this),s.touch0&&s.touch0[2]===r.identifier?s.touch0[0]=i:s.touch1&&s.touch1[2]===r.identifier&&(s.touch1[0]=i);if(r=s.that.__zoom,s.touch1){var c=s.touch0[0],h=s.touch0[1],p=s.touch1[0],d=s.touch1[1],g=(g=p[0]-c[0])*g+(g=p[1]-c[1])*g,y=(y=d[0]-h[0])*y+(y=d[1]-h[1])*y;r=m(r,Math.sqrt(g/y)),i=[(c[0]+p[0])/2,(c[1]+p[1])/2],a=[(h[0]+d[0])/2,(h[1]+d[1])/2]}else{if(!s.touch0)return;i=s.touch0[0],a=s.touch0[1]}s.zoom(\"touch\",o(_(r,i,a),s.extent,f))}}function N(t,...r){if(this.__zooming){var i,o,a=v(this,r).event(t),s=t.changedTouches,l=s.length;for(lx(t),n&&clearTimeout(n),n=setTimeout(function(){n=null},500),i=0;i<l;++i)o=s[i],a.touch0&&a.touch0[2]===o.identifier?delete a.touch0:a.touch1&&a.touch1[2]===o.identifier&&delete a.touch1;if(a.touch1&&!a.touch0&&(a.touch0=a.touch1,delete a.touch1),a.touch0)a.touch0[1]=this.__zoom.invert(a.touch0[0]);else if(a.end(),2===a.taps&&(o=rn(o,this),Math.hypot(e[0]-o[0],e[1]-o[1])<d)){var f=Ke(this).on(\"dblclick.zoom\");f&&f.apply(this,arguments)}}}return g.transform=function(t,e,n,r){var i=t.selection?t.selection():t;i.property(\"__zoom\",hx),t!==i?b(t,e,n,r):i.interrupt().each(function(){v(this,arguments).event(r).start().zoom(null,\"function\"==typeof e?e.apply(this,arguments):e).end()})},g.scaleBy=function(t,e,n,r){g.scaleTo(t,function(){return this.__zoom.k*(\"function\"==typeof e?e.apply(this,arguments):e)},n,r)},g.scaleTo=function(t,e,n,r){g.transform(t,function(){var t=i.apply(this,arguments),r=this.__zoom,a=null==n?y(t):\"function\"==typeof n?n.apply(this,arguments):n,s=r.invert(a),l=\"function\"==typeof e?e.apply(this,arguments):e;return o(_(m(r,l),a,s),t,f)},n,r)},g.translateBy=function(t,e,n,r){g.transform(t,function(){return o(this.__zoom.translate(\"function\"==typeof e?e.apply(this,arguments):e,\"function\"==typeof n?n.apply(this,arguments):n),i.apply(this,arguments),f)},null,r)},g.translateTo=function(t,e,n,r,a){g.transform(t,function(){var t=i.apply(this,arguments),a=this.__zoom,s=null==r?y(t):\"function\"==typeof r?r.apply(this,arguments):r;return 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this}swapRows(t,e){s(this,t),s(this,e);for(let n=0;n<this.columns;n++){let r=this.get(t,n);this.set(t,n,this.get(e,n)),this.set(e,n,r)}return this}getColumn(t){l(this,t);let e=[];for(let n=0;n<this.rows;n++)e.push(this.get(n,t));return e}getColumnVector(t){return v.columnVector(this.getColumn(t))}setColumn(t,e){l(this,t),e=u(this,e);for(let n=0;n<this.rows;n++)this.set(n,t,e[n]);return this}swapColumns(t,e){l(this,t),l(this,e);for(let n=0;n<this.rows;n++){let r=this.get(n,t);this.set(n,t,this.get(n,e)),this.set(n,e,r)}return this}addRowVector(t){t=f(this,t);for(let e=0;e<this.rows;e++)for(let n=0;n<this.columns;n++)this.set(e,n,this.get(e,n)+t[n]);return this}subRowVector(t){t=f(this,t);for(let e=0;e<this.rows;e++)for(let n=0;n<this.columns;n++)this.set(e,n,this.get(e,n)-t[n]);return this}mulRowVector(t){t=f(this,t);for(let e=0;e<this.rows;e++)for(let n=0;n<this.columns;n++)this.set(e,n,this.get(e,n)*t[n]);return this}divRowVector(t){t=f(this,t);for(let e=0;e<this.rows;e++)for(let n=0;n<this.columns;n++)this.set(e,n,this.get(e,n)/t[n]);return this}addColumnVector(t){t=u(this,t);for(let e=0;e<this.rows;e++)for(let n=0;n<this.columns;n++)this.set(e,n,this.get(e,n)+t[e]);return this}subColumnVector(t){t=u(this,t);for(let e=0;e<this.rows;e++)for(let n=0;n<this.columns;n++)this.set(e,n,this.get(e,n)-t[e]);return this}mulColumnVector(t){t=u(this,t);for(let e=0;e<this.rows;e++)for(let n=0;n<this.columns;n++)this.set(e,n,this.get(e,n)*t[e]);return this}divColumnVector(t){t=u(this,t);for(let e=0;e<this.rows;e++)for(let n=0;n<this.columns;n++)this.set(e,n,this.get(e,n)/t[e]);return this}mulRow(t,e){s(this,t);for(let n=0;n<this.columns;n++)this.set(t,n,this.get(t,n)*e);return this}mulColumn(t,e){l(this,t);for(let n=0;n<this.rows;n++)this.set(n,t,this.get(n,t)*e);return this}max(t){if(this.isEmpty())return NaN;switch(t){case\"row\":{const t=new Array(this.rows).fill(Number.NEGATIVE_INFINITY);for(let e=0;e<this.rows;e++)for(let n=0;n<this.columns;n++)this.get(e,n)>t[e]&&(t[e]=this.get(e,n));return t}case\"column\":{const t=new Array(this.columns).fill(Number.NEGATIVE_INFINITY);for(let e=0;e<this.rows;e++)for(let n=0;n<this.columns;n++)this.get(e,n)>t[n]&&(t[n]=this.get(e,n));return t}case void 0:{let t=this.get(0,0);for(let e=0;e<this.rows;e++)for(let n=0;n<this.columns;n++)this.get(e,n)>t&&(t=this.get(e,n));return t}default:throw new Error(`invalid option: ${t}`)}}maxIndex(){m(this);let t=this.get(0,0),e=[0,0];for(let n=0;n<this.rows;n++)for(let r=0;r<this.columns;r++)this.get(n,r)>t&&(t=this.get(n,r),e[0]=n,e[1]=r);return e}min(t){if(this.isEmpty())return NaN;switch(t){case\"row\":{const t=new Array(this.rows).fill(Number.POSITIVE_INFINITY);for(let e=0;e<this.rows;e++)for(let n=0;n<this.columns;n++)this.get(e,n)<t[e]&&(t[e]=this.get(e,n));return t}case\"column\":{const t=new Array(this.columns).fill(Number.POSITIVE_INFINITY);for(let e=0;e<this.rows;e++)for(let n=0;n<this.columns;n++)this.get(e,n)<t[n]&&(t[n]=this.get(e,n));return t}case void 0:{let t=this.get(0,0);for(let e=0;e<this.rows;e++)for(let n=0;n<this.columns;n++)this.get(e,n)<t&&(t=this.get(e,n));return t}default:throw new Error(`invalid option: ${t}`)}}minIndex(){m(this);let t=this.get(0,0),e=[0,0];for(let n=0;n<this.rows;n++)for(let r=0;r<this.columns;r++)this.get(n,r)<t&&(t=this.get(n,r),e[0]=n,e[1]=r);return e}maxRow(t){if(s(this,t),this.isEmpty())return NaN;let e=this.get(t,0);for(let n=1;n<this.columns;n++)this.get(t,n)>e&&(e=this.get(t,n));return e}maxRowIndex(t){s(this,t),m(this);let e=this.get(t,0),n=[t,0];for(let r=1;r<this.columns;r++)this.get(t,r)>e&&(e=this.get(t,r),n[1]=r);return n}minRow(t){if(s(this,t),this.isEmpty())return NaN;let e=this.get(t,0);for(let n=1;n<this.columns;n++)this.get(t,n)<e&&(e=this.get(t,n));return e}minRowIndex(t){s(this,t),m(this);let e=this.get(t,0),n=[t,0];for(let r=1;r<this.columns;r++)this.get(t,r)<e&&(e=this.get(t,r),n[1]=r);return n}maxColumn(t){if(l(this,t),this.isEmpty())return NaN;let e=this.get(0,t);for(let n=1;n<this.rows;n++)this.get(n,t)>e&&(e=this.get(n,t));return e}maxColumnIndex(t){l(this,t),m(this);let e=this.get(0,t),n=[0,t];for(let r=1;r<this.rows;r++)this.get(r,t)>e&&(e=this.get(r,t),n[0]=r);return n}minColumn(t){if(l(this,t),this.isEmpty())return NaN;let e=this.get(0,t);for(let n=1;n<this.rows;n++)this.get(n,t)<e&&(e=this.get(n,t));return e}minColumnIndex(t){l(this,t),m(this);let e=this.get(0,t),n=[0,t];for(let r=1;r<this.rows;r++)this.get(r,t)<e&&(e=this.get(r,t),n[0]=r);return n}diag(){let t=Math.min(this.rows,this.columns),e=[];for(let n=0;n<t;n++)e.push(this.get(n,n));return e}norm(t=\"frobenius\"){switch(t){case\"max\":return this.max();case\"frobenius\":return Math.sqrt(this.dot(this));default:throw new RangeError(`unknown norm type: ${t}`)}}cumulativeSum(){let t=0;for(let e=0;e<this.rows;e++)for(let n=0;n<this.columns;n++)t+=this.get(e,n),this.set(e,n,t);return this}dot(t){_.isMatrix(t)&&(t=t.to1DArray());let e=this.to1DArray();if(e.length!==t.length)throw new RangeError(\"vectors do not have the same size\");let n=0;for(let r=0;r<e.length;r++)n+=e[r]*t[r];return n}mmul(t){t=v.checkMatrix(t);let e=this.rows,n=this.columns,r=t.columns,i=new v(e,r),o=new Float64Array(n);for(let a=0;a<r;a++){for(let e=0;e<n;e++)o[e]=t.get(e,a);for(let t=0;t<e;t++){let e=0;for(let r=0;r<n;r++)e+=this.get(t,r)*o[r];i.set(t,a,e)}}return i}mpow(t){if(!this.isSquare())throw new RangeError(\"Matrix must be square\");if(!Number.isInteger(t)||t<0)throw new RangeError(\"Exponent must be a non-negative integer\");let e=v.eye(this.rows),n=this;for(let r=t;r>=1;r/=2)1&r&&(e=e.mmul(n)),n=n.mmul(n);return e}strassen2x2(t){t=v.checkMatrix(t);let e=new v(2,2);const n=this.get(0,0),r=t.get(0,0),i=this.get(0,1),o=t.get(0,1),a=this.get(1,0),s=t.get(1,0),l=this.get(1,1),f=t.get(1,1),u=(n+l)*(r+f),c=(a+l)*r,h=n*(o-f),p=l*(s-r),d=(n+i)*f,g=u+p-d+(i-l)*(s+f),m=h+d,_=c+p,y=u-c+h+(a-n)*(r+o);return e.set(0,0,g),e.set(0,1,m),e.set(1,0,_),e.set(1,1,y),e}strassen3x3(t){t=v.checkMatrix(t);let e=new v(3,3);const n=this.get(0,0),r=this.get(0,1),i=this.get(0,2),o=this.get(1,0),a=this.get(1,1),s=this.get(1,2),l=this.get(2,0),f=this.get(2,1),u=this.get(2,2),c=t.get(0,0),h=t.get(0,1),p=t.get(0,2),d=t.get(1,0),g=t.get(1,1),m=t.get(1,2),_=t.get(2,0),y=t.get(2,1),b=t.get(2,2),w=(n-o)*(-h+g),x=(-n+o+a)*(c-h+g),M=(o+a)*(-c+h),A=n*c,S=(-n+l+f)*(c-p+m),E=(-n+l)*(p-m),N=(l+f)*(-c+p),k=(-i+f+u)*(g+_-y),T=(i-u)*(g-y),B=i*_,C=(f+u)*(-_+y),z=(-i+a+s)*(m+_-b),R=(i-s)*(m-b),P=(a+s)*(-_+b),I=A+B+r*d,$=(n+r+i-o-a-f-u)*g+x+M+A+k+B+C,O=A+S+N+(n+r+i-a-s-l-f)*m+B+z+P,D=w+a*(-c+h+d-g-m-_+b)+x+A+B+z+R,F=w+x+M+A+s*y,j=B+z+R+P+o*p,q=A+S+E+f*(-c+p+d-g-m-_+y)+k+T+B,L=k+T+B+C+l*h,U=A+S+E+N+u*b;return e.set(0,0,I),e.set(0,1,$),e.set(0,2,O),e.set(1,0,D),e.set(1,1,F),e.set(1,2,j),e.set(2,0,q),e.set(2,1,L),e.set(2,2,U),e}mmulStrassen(t){t=v.checkMatrix(t);let e=this.clone(),n=e.rows,r=e.columns,i=t.rows,o=t.columns;function a(t,e,n){let r=t.rows,i=t.columns;if(r===e&&i===n)return t;{let r=_.zeros(e,n);return r=r.setSubMatrix(t,0,0),r}}r!==i&&console.warn(`Multiplying ${n} x ${r} and ${i} x ${o} matrix: dimensions do not match.`);let s=Math.max(n,i),l=Math.max(r,o);return e=a(e,s,l),function t(e,n,r,i){if(r<=512||i<=512)return e.mmul(n);r%2==1&&i%2==1?(e=a(e,r+1,i+1),n=a(n,r+1,i+1)):r%2==1?(e=a(e,r+1,i),n=a(n,r+1,i)):i%2==1&&(e=a(e,r,i+1),n=a(n,r,i+1));let o=parseInt(e.rows/2,10),s=parseInt(e.columns/2,10),l=e.subMatrix(0,o-1,0,s-1),f=n.subMatrix(0,o-1,0,s-1),u=e.subMatrix(0,o-1,s,e.columns-1),c=n.subMatrix(0,o-1,s,n.columns-1),h=e.subMatrix(o,e.rows-1,0,s-1),p=n.subMatrix(o,n.rows-1,0,s-1),d=e.subMatrix(o,e.rows-1,s,e.columns-1),g=n.subMatrix(o,n.rows-1,s,n.columns-1),m=t(_.add(l,d),_.add(f,g),o,s),y=t(_.add(h,d),f,o,s),b=t(l,_.sub(c,g),o,s),v=t(d,_.sub(p,f),o,s),w=t(_.add(l,u),g,o,s),x=t(_.sub(h,l),_.add(f,c),o,s),M=t(_.sub(u,d),_.add(p,g),o,s),A=_.add(m,v);A.sub(w),A.add(M);let S=_.add(b,w),E=_.add(y,v),N=_.sub(m,y);N.add(b),N.add(x);let k=_.zeros(2*A.rows,2*A.columns);return k=k.setSubMatrix(A,0,0),k=k.setSubMatrix(S,A.rows,0),k=k.setSubMatrix(E,0,A.columns),k=k.setSubMatrix(N,A.rows,A.columns),k.subMatrix(0,r-1,0,i-1)}(e,t=a(t,s,l),s,l)}scaleRows(t={}){if(\"object\"!=typeof t)throw new TypeError(\"options must be an object\");const{min:n=0,max:r=1}=t;if(!Number.isFinite(n))throw new TypeError(\"min must be a number\");if(!Number.isFinite(r))throw new TypeError(\"max must be a number\");if(n>=r)throw new RangeError(\"min must be smaller than max\");let i=new v(this.rows,this.columns);for(let t=0;t<this.rows;t++){const o=this.getRow(t);o.length>0&&e(o,{min:n,max:r,output:o}),i.setRow(t,o)}return i}scaleColumns(t={}){if(\"object\"!=typeof t)throw new TypeError(\"options must be an object\");const{min:n=0,max:r=1}=t;if(!Number.isFinite(n))throw new TypeError(\"min must be a number\");if(!Number.isFinite(r))throw new TypeError(\"max must be a number\");if(n>=r)throw new RangeError(\"min must be smaller than max\");let i=new v(this.rows,this.columns);for(let t=0;t<this.columns;t++){const o=this.getColumn(t);o.length&&e(o,{min:n,max:r,output:o}),i.setColumn(t,o)}return i}flipRows(){const t=Math.ceil(this.columns/2);for(let e=0;e<this.rows;e++)for(let n=0;n<t;n++){let t=this.get(e,n),r=this.get(e,this.columns-1-n);this.set(e,n,r),this.set(e,this.columns-1-n,t)}return this}flipColumns(){const t=Math.ceil(this.rows/2);for(let e=0;e<this.columns;e++)for(let n=0;n<t;n++){let t=this.get(n,e),r=this.get(this.rows-1-n,e);this.set(n,e,r),this.set(this.rows-1-n,e,t)}return this}kroneckerProduct(t){t=v.checkMatrix(t);let e=this.rows,n=this.columns,r=t.rows,i=t.columns,o=new v(e*r,n*i);for(let a=0;a<e;a++)for(let e=0;e<n;e++)for(let n=0;n<r;n++)for(let s=0;s<i;s++)o.set(r*a+n,i*e+s,this.get(a,e)*t.get(n,s));return o}kroneckerSum(t){if(t=v.checkMatrix(t),!this.isSquare()||!t.isSquare())throw new Error(\"Kronecker Sum needs two Square Matrices\");let e=this.rows,n=t.rows,r=this.kroneckerProduct(v.eye(n,n)),i=v.eye(e,e).kroneckerProduct(t);return 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this},t.asinh=function(t){return new e(t).asinh()},t.prototype.atan=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.atan(this.get(t,e)));return this},t.atan=function(t){return new e(t).atan()},t.prototype.atanh=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.atanh(this.get(t,e)));return this},t.atanh=function(t){return new e(t).atanh()},t.prototype.cbrt=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.cbrt(this.get(t,e)));return this},t.cbrt=function(t){return new e(t).cbrt()},t.prototype.ceil=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.ceil(this.get(t,e)));return this},t.ceil=function(t){return new e(t).ceil()},t.prototype.clz32=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.clz32(this.get(t,e)));return this},t.clz32=function(t){return new e(t).clz32()},t.prototype.cos=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.cos(this.get(t,e)));return this},t.cos=function(t){return new e(t).cos()},t.prototype.cosh=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.cosh(this.get(t,e)));return this},t.cosh=function(t){return new e(t).cosh()},t.prototype.exp=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.exp(this.get(t,e)));return this},t.exp=function(t){return new e(t).exp()},t.prototype.expm1=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.expm1(this.get(t,e)));return this},t.expm1=function(t){return new e(t).expm1()},t.prototype.floor=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.floor(this.get(t,e)));return this},t.floor=function(t){return new e(t).floor()},t.prototype.fround=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.fround(this.get(t,e)));return this},t.fround=function(t){return new e(t).fround()},t.prototype.log=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.log(this.get(t,e)));return this},t.log=function(t){return new e(t).log()},t.prototype.log1p=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.log1p(this.get(t,e)));return this},t.log1p=function(t){return new e(t).log1p()},t.prototype.log10=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.log10(this.get(t,e)));return this},t.log10=function(t){return new e(t).log10()},t.prototype.log2=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.log2(this.get(t,e)));return this},t.log2=function(t){return new e(t).log2()},t.prototype.round=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.round(this.get(t,e)));return this},t.round=function(t){return new e(t).round()},t.prototype.sign=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.sign(this.get(t,e)));return this},t.sign=function(t){return new e(t).sign()},t.prototype.sin=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.sin(this.get(t,e)));return this},t.sin=function(t){return new e(t).sin()},t.prototype.sinh=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.sinh(this.get(t,e)));return this},t.sinh=function(t){return new e(t).sinh()},t.prototype.sqrt=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.sqrt(this.get(t,e)));return this},t.sqrt=function(t){return new e(t).sqrt()},t.prototype.tan=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.tan(this.get(t,e)));return this},t.tan=function(t){return new e(t).tan()},t.prototype.tanh=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.tanh(this.get(t,e)));return this},t.tanh=function(t){return new e(t).tanh()},t.prototype.trunc=function(){for(let t=0;t<this.rows;t++)for(let e=0;e<this.columns;e++)this.set(t,e,Math.trunc(this.get(t,e)));return this},t.trunc=function(t){return new e(t).trunc()},t.pow=function(t,n){return new e(t).pow(n)},t.prototype.pow=function(t){return\"number\"==typeof t?this.powS(t):this.powM(t)},t.prototype.powS=function(t){for(let e=0;e<this.rows;e++)for(let n=0;n<this.columns;n++)this.set(e,n,this.get(e,n)**t);return this},t.prototype.powM=function(t){if(t=e.checkMatrix(t),this.rows!==t.rows||this.columns!==t.columns)throw new RangeError(\"Matrices dimensions must be equal\");for(let e=0;e<this.rows;e++)for(let n=0;n<this.columns;n++)this.set(e,n,this.get(e,n)**t.get(e,n));return this}}(_,v);class w extends _{#e;get size(){return this.#e.size}get rows(){return this.#e.rows}get columns(){return this.#e.columns}get diagonalSize(){return this.rows}static isSymmetricMatrix(t){return v.isMatrix(t)&&\"SymmetricMatrix\"===t.klassType}static zeros(t){return new this(t)}static ones(t){return new this(t).fill(1)}constructor(t){if(super(),v.isMatrix(t)){if(!t.isSymmetric())throw new TypeError(\"not symmetric data\");this.#e=v.copy(t,new v(t.rows,t.rows))}else if(Number.isInteger(t)&&t>=0)this.#e=new v(t,t);else if(this.#e=new v(t),!this.isSymmetric())throw new TypeError(\"not symmetric data\")}clone(){const t=new w(this.diagonalSize);for(const[e,n,r]of this.upperRightEntries())t.set(e,n,r);return t}toMatrix(){return new v(this)}get(t,e){return this.#e.get(t,e)}set(t,e,n){return this.#e.set(t,e,n),this.#e.set(e,t,n),this}removeCross(t){return this.#e.removeRow(t),this.#e.removeColumn(t),this}addCross(t,e){void 0===e&&(e=t,t=this.diagonalSize);const n=e.slice();return n.splice(t,1),this.#e.addRow(t,n),this.#e.addColumn(t,e),this}applyMask(t){if(t.length!==this.diagonalSize)throw new RangeError(\"Mask size do not match with matrix size\");const e=[];for(const[n,r]of t.entries())r||e.push(n);e.reverse();for(const t of e)this.removeCross(t);return this}toCompact(){const{diagonalSize:t}=this,e=new Array(t*(t+1)/2);for(let n=0,r=0,i=0;i<e.length;i++)e[i]=this.get(r,n),++n>=t&&(n=++r);return e}static fromCompact(t){const e=t.length,n=(Math.sqrt(8*e+1)-1)/2;if(!Number.isInteger(n))throw new TypeError(`This array is not a compact representation of a Symmetric Matrix, ${JSON.stringify(t)}`);const r=new w(n);for(let i=0,o=0,a=0;a<e;a++)r.set(i,o,t[a]),++i>=n&&(i=++o);return r}*upperRightEntries(){for(let t=0,e=0;t<this.diagonalSize;void 0){const n=this.get(t,e);yield[t,e,n],++e>=this.diagonalSize&&(e=++t)}}*upperRightValues(){for(let t=0,e=0;t<this.diagonalSize;void 0){const n=this.get(t,e);yield n,++e>=this.diagonalSize&&(e=++t)}}}w.prototype.klassType=\"SymmetricMatrix\";class x extends w{static isDistanceMatrix(t){return w.isSymmetricMatrix(t)&&\"DistanceMatrix\"===t.klassSubType}constructor(t){if(super(t),!this.isDistance())throw new TypeError(\"Provided arguments do no produce a distance matrix\")}set(t,e,n){return t===e&&(n=0),super.set(t,e,n)}addCross(t,e){return void 0===e&&(e=t,t=this.diagonalSize),(e=e.slice())[t]=0,super.addCross(t,e)}toSymmetricMatrix(){return new w(this)}clone(){const t=new x(this.diagonalSize);for(const[e,n,r]of this.upperRightEntries())e!==n&&t.set(e,n,r);return t}toCompact(){const{diagonalSize:t}=this,e=new Array((t-1)*t/2);for(let n=1,r=0,i=0;i<e.length;i++)e[i]=this.get(r,n),++n>=t&&(n=1+ ++r);return e}static fromCompact(t){const e=t.length;if(0===e)return new this(0);const n=(Math.sqrt(8*e+1)+1)/2;if(!Number.isInteger(n))throw new TypeError(`This array is not a compact representation of a DistanceMatrix, ${JSON.stringify(t)}`);const r=new this(n);for(let i=1,o=0,a=0;a<e;a++)r.set(i,o,t[a]),++i>=n&&(i=1+ ++o);return r}}x.prototype.klassSubType=\"DistanceMatrix\";class M extends _{constructor(t,e,n){super(),this.matrix=t,this.rows=e,this.columns=n}}class A extends M{constructor(t,e,n){c(t,e),h(t,n),super(t,e.length,n.length),this.rowIndices=e,this.columnIndices=n}set(t,e,n){return this.matrix.set(this.rowIndices[t],this.columnIndices[e],n),this}get(t,e){return this.matrix.get(this.rowIndices[t],this.columnIndices[e])}}class S extends _{constructor(t,e={}){const{rows:n=1}=e;if(t.length%n!==0)throw new Error(\"the data length is not divisible by the number of rows\");super(),this.rows=n,this.columns=t.length/n,this.data=t}set(t,e,n){let r=this._calculateIndex(t,e);return this.data[r]=n,this}get(t,e){let n=this._calculateIndex(t,e);return this.data[n]}_calculateIndex(t,e){return t*this.columns+e}}class E extends _{constructor(t){super(),this.data=t,this.rows=t.length,this.columns=t[0].length}set(t,e,n){return this.data[t][e]=n,this}get(t,e){return this.data[t][e]}}class N{constructor(t){let e,n,r,i,o,a,s,l,f,u=(t=E.checkMatrix(t)).clone(),c=u.rows,h=u.columns,p=new Float64Array(c),d=1;for(e=0;e<c;e++)p[e]=e;for(l=new Float64Array(c),n=0;n<h;n++){for(e=0;e<c;e++)l[e]=u.get(e,n);for(e=0;e<c;e++){for(f=Math.min(e,n),o=0,r=0;r<f;r++)o+=u.get(e,r)*l[r];l[e]-=o,u.set(e,n,l[e])}for(i=n,e=n+1;e<c;e++)Math.abs(l[e])>Math.abs(l[i])&&(i=e);if(i!==n){for(r=0;r<h;r++)a=u.get(i,r),u.set(i,r,u.get(n,r)),u.set(n,r,a);s=p[i],p[i]=p[n],p[n]=s,d=-d}if(n<c&&0!==u.get(n,n))for(e=n+1;e<c;e++)u.set(e,n,u.get(e,n)/u.get(n,n))}this.LU=u,this.pivotVector=p,this.pivotSign=d}isSingular(){let t=this.LU,e=t.columns;for(let n=0;n<e;n++)if(0===t.get(n,n))return!0;return!1}solve(t){t=v.checkMatrix(t);let e=this.LU;if(e.rows!==t.rows)throw new Error(\"Invalid matrix dimensions\");if(this.isSingular())throw new Error(\"LU matrix is singular\");let n,r,i,o=t.columns,a=t.subMatrixRow(this.pivotVector,0,o-1),s=e.columns;for(i=0;i<s;i++)for(n=i+1;n<s;n++)for(r=0;r<o;r++)a.set(n,r,a.get(n,r)-a.get(i,r)*e.get(n,i));for(i=s-1;i>=0;i--){for(r=0;r<o;r++)a.set(i,r,a.get(i,r)/e.get(i,i));for(n=0;n<i;n++)for(r=0;r<o;r++)a.set(n,r,a.get(n,r)-a.get(i,r)*e.get(n,i))}return a}get determinant(){let t=this.LU;if(!t.isSquare())throw new Error(\"Matrix must be square\");let e=this.pivotSign,n=t.columns;for(let r=0;r<n;r++)e*=t.get(r,r);return e}get lowerTriangularMatrix(){let t=this.LU,e=t.rows,n=t.columns,r=new v(e,n);for(let i=0;i<e;i++)for(let e=0;e<n;e++)i>e?r.set(i,e,t.get(i,e)):i===e?r.set(i,e,1):r.set(i,e,0);return r}get upperTriangularMatrix(){let t=this.LU,e=t.rows,n=t.columns,r=new v(e,n);for(let i=0;i<e;i++)for(let e=0;e<n;e++)i<=e?r.set(i,e,t.get(i,e)):r.set(i,e,0);return r}get pivotPermutationVector(){return Array.from(this.pivotVector)}}function k(t,e){let n=0;return Math.abs(t)>Math.abs(e)?(n=e/t,Math.abs(t)*Math.sqrt(1+n*n)):0!==e?(n=t/e,Math.abs(e)*Math.sqrt(1+n*n)):0}class T{constructor(t){let e,n,r,i,o=(t=E.checkMatrix(t)).clone(),a=t.rows,s=t.columns,l=new Float64Array(s);for(r=0;r<s;r++){let t=0;for(e=r;e<a;e++)t=k(t,o.get(e,r));if(0!==t){for(o.get(r,r)<0&&(t=-t),e=r;e<a;e++)o.set(e,r,o.get(e,r)/t);for(o.set(r,r,o.get(r,r)+1),n=r+1;n<s;n++){for(i=0,e=r;e<a;e++)i+=o.get(e,r)*o.get(e,n);for(i=-i/o.get(r,r),e=r;e<a;e++)o.set(e,n,o.get(e,n)+i*o.get(e,r))}}l[r]=-t}this.QR=o,this.Rdiag=l}solve(t){t=v.checkMatrix(t);let e=this.QR,n=e.rows;if(t.rows!==n)throw new Error(\"Matrix row dimensions must agree\");if(!this.isFullRank())throw new Error(\"Matrix is rank deficient\");let r,i,o,a,s=t.columns,l=t.clone(),f=e.columns;for(o=0;o<f;o++)for(i=0;i<s;i++){for(a=0,r=o;r<n;r++)a+=e.get(r,o)*l.get(r,i);for(a=-a/e.get(o,o),r=o;r<n;r++)l.set(r,i,l.get(r,i)+a*e.get(r,o))}for(o=f-1;o>=0;o--){for(i=0;i<s;i++)l.set(o,i,l.get(o,i)/this.Rdiag[o]);for(r=0;r<o;r++)for(i=0;i<s;i++)l.set(r,i,l.get(r,i)-l.get(o,i)*e.get(r,o))}return l.subMatrix(0,f-1,0,s-1)}isFullRank(){let t=this.QR.columns;for(let e=0;e<t;e++)if(0===this.Rdiag[e])return!1;return!0}get upperTriangularMatrix(){let t,e,n=this.QR,r=n.columns,i=new v(r,r);for(t=0;t<r;t++)for(e=0;e<r;e++)t<e?i.set(t,e,n.get(t,e)):t===e?i.set(t,e,this.Rdiag[t]):i.set(t,e,0);return i}get orthogonalMatrix(){let t,e,n,r,i=this.QR,o=i.rows,a=i.columns,s=new v(o,a);for(n=a-1;n>=0;n--){for(t=0;t<o;t++)s.set(t,n,0);for(s.set(n,n,1),e=n;e<a;e++)if(0!==i.get(n,n)){for(r=0,t=n;t<o;t++)r+=i.get(t,n)*s.get(t,e);for(r=-r/i.get(n,n),t=n;t<o;t++)s.set(t,e,s.get(t,e)+r*i.get(t,n))}}return s}}class B{constructor(t,e={}){if((t=E.checkMatrix(t)).isEmpty())throw new Error(\"Matrix must be non-empty\");let n=t.rows,r=t.columns;const{computeLeftSingularVectors:i=!0,computeRightSingularVectors:o=!0,autoTranspose:a=!1}=e;let s,l=Boolean(i),f=Boolean(o),u=!1;if(n<r)if(a){s=t.transpose(),n=s.rows,r=s.columns,u=!0;let e=l;l=f,f=e}else s=t.clone(),console.warn(\"Computing SVD on a matrix with more columns than rows. Consider enabling autoTranspose\");else s=t.clone();let c=Math.min(n,r),h=Math.min(n+1,r),p=new Float64Array(h),d=new v(n,c),g=new v(r,r),m=new Float64Array(r),_=new Float64Array(n),y=new Float64Array(h);for(let t=0;t<h;t++)y[t]=t;let b=Math.min(n-1,r),w=Math.max(0,Math.min(r-2,n)),x=Math.max(b,w);for(let t=0;t<x;t++){if(t<b){p[t]=0;for(let e=t;e<n;e++)p[t]=k(p[t],s.get(e,t));if(0!==p[t]){s.get(t,t)<0&&(p[t]=-p[t]);for(let e=t;e<n;e++)s.set(e,t,s.get(e,t)/p[t]);s.set(t,t,s.get(t,t)+1)}p[t]=-p[t]}for(let e=t+1;e<r;e++){if(t<b&&0!==p[t]){let r=0;for(let i=t;i<n;i++)r+=s.get(i,t)*s.get(i,e);r=-r/s.get(t,t);for(let i=t;i<n;i++)s.set(i,e,s.get(i,e)+r*s.get(i,t))}m[e]=s.get(t,e)}if(l&&t<b)for(let e=t;e<n;e++)d.set(e,t,s.get(e,t));if(t<w){m[t]=0;for(let e=t+1;e<r;e++)m[t]=k(m[t],m[e]);if(0!==m[t]){m[t+1]<0&&(m[t]=0-m[t]);for(let e=t+1;e<r;e++)m[e]/=m[t];m[t+1]+=1}if(m[t]=-m[t],t+1<n&&0!==m[t]){for(let e=t+1;e<n;e++)_[e]=0;for(let e=t+1;e<n;e++)for(let n=t+1;n<r;n++)_[e]+=m[n]*s.get(e,n);for(let e=t+1;e<r;e++){let r=-m[e]/m[t+1];for(let i=t+1;i<n;i++)s.set(i,e,s.get(i,e)+r*_[i])}}if(f)for(let e=t+1;e<r;e++)g.set(e,t,m[e])}}let M=Math.min(r,n+1);if(b<r&&(p[b]=s.get(b,b)),n<M&&(p[M-1]=0),w+1<M&&(m[w]=s.get(w,M-1)),m[M-1]=0,l){for(let t=b;t<c;t++){for(let e=0;e<n;e++)d.set(e,t,0);d.set(t,t,1)}for(let t=b-1;t>=0;t--)if(0!==p[t]){for(let e=t+1;e<c;e++){let r=0;for(let i=t;i<n;i++)r+=d.get(i,t)*d.get(i,e);r=-r/d.get(t,t);for(let i=t;i<n;i++)d.set(i,e,d.get(i,e)+r*d.get(i,t))}for(let e=t;e<n;e++)d.set(e,t,-d.get(e,t));d.set(t,t,1+d.get(t,t));for(let e=0;e<t-1;e++)d.set(e,t,0)}else{for(let e=0;e<n;e++)d.set(e,t,0);d.set(t,t,1)}}if(f)for(let t=r-1;t>=0;t--){if(t<w&&0!==m[t])for(let e=t+1;e<r;e++){let n=0;for(let i=t+1;i<r;i++)n+=g.get(i,t)*g.get(i,e);n=-n/g.get(t+1,t);for(let i=t+1;i<r;i++)g.set(i,e,g.get(i,e)+n*g.get(i,t))}for(let e=0;e<r;e++)g.set(e,t,0);g.set(t,t,1)}let A=M-1,S=Number.EPSILON;for(;M>0;){let t,e;for(t=M-2;t>=-1&&-1!==t;t--){const e=Number.MIN_VALUE+S*Math.abs(p[t]+Math.abs(p[t+1]));if(Math.abs(m[t])<=e||Number.isNaN(m[t])){m[t]=0;break}}if(t===M-2)e=4;else{let n;for(n=M-1;n>=t&&n!==t;n--){let e=(n!==M?Math.abs(m[n]):0)+(n!==t+1?Math.abs(m[n-1]):0);if(Math.abs(p[n])<=S*e){p[n]=0;break}}n===t?e=3:n===M-1?e=1:(e=2,t=n)}switch(t++,e){case 1:{let e=m[M-2];m[M-2]=0;for(let n=M-2;n>=t;n--){let i=k(p[n],e),o=p[n]/i,a=e/i;if(p[n]=i,n!==t&&(e=-a*m[n-1],m[n-1]=o*m[n-1]),f)for(let t=0;t<r;t++)i=o*g.get(t,n)+a*g.get(t,M-1),g.set(t,M-1,-a*g.get(t,n)+o*g.get(t,M-1)),g.set(t,n,i)}break}case 2:{let e=m[t-1];m[t-1]=0;for(let r=t;r<M;r++){let i=k(p[r],e),o=p[r]/i,a=e/i;if(p[r]=i,e=-a*m[r],m[r]=o*m[r],l)for(let e=0;e<n;e++)i=o*d.get(e,r)+a*d.get(e,t-1),d.set(e,t-1,-a*d.get(e,r)+o*d.get(e,t-1)),d.set(e,r,i)}break}case 3:{const e=Math.max(Math.abs(p[M-1]),Math.abs(p[M-2]),Math.abs(m[M-2]),Math.abs(p[t]),Math.abs(m[t])),i=p[M-1]/e,o=p[M-2]/e,a=m[M-2]/e,s=p[t]/e,u=m[t]/e,c=((o+i)*(o-i)+a*a)/2,h=i*a*(i*a);let _=0;0===c&&0===h||(_=c<0?0-Math.sqrt(c*c+h):Math.sqrt(c*c+h),_=h/(c+_));let y=(s+i)*(s-i)+_,b=s*u;for(let e=t;e<M-1;e++){let i=k(y,b);0===i&&(i=Number.MIN_VALUE);let o=y/i,a=b/i;if(e!==t&&(m[e-1]=i),y=o*p[e]+a*m[e],m[e]=o*m[e]-a*p[e],b=a*p[e+1],p[e+1]=o*p[e+1],f)for(let t=0;t<r;t++)i=o*g.get(t,e)+a*g.get(t,e+1),g.set(t,e+1,-a*g.get(t,e)+o*g.get(t,e+1)),g.set(t,e,i);if(i=k(y,b),0===i&&(i=Number.MIN_VALUE),o=y/i,a=b/i,p[e]=i,y=o*m[e]+a*p[e+1],p[e+1]=-a*m[e]+o*p[e+1],b=a*m[e+1],m[e+1]=o*m[e+1],l&&e<n-1)for(let t=0;t<n;t++)i=o*d.get(t,e)+a*d.get(t,e+1),d.set(t,e+1,-a*d.get(t,e)+o*d.get(t,e+1)),d.set(t,e,i)}m[M-2]=y;break}case 4:if(p[t]<=0&&(p[t]=p[t]<0?-p[t]:0,f))for(let e=0;e<=A;e++)g.set(e,t,-g.get(e,t));for(;t<A&&!(p[t]>=p[t+1]);){let e=p[t];if(p[t]=p[t+1],p[t+1]=e,f&&t<r-1)for(let n=0;n<r;n++)e=g.get(n,t+1),g.set(n,t+1,g.get(n,t)),g.set(n,t,e);if(l&&t<n-1)for(let r=0;r<n;r++)e=d.get(r,t+1),d.set(r,t+1,d.get(r,t)),d.set(r,t,e);t++}M--}}if(u){let t=g;g=d,d=t}this.m=n,this.n=r,this.s=p,this.U=d,this.V=g}solve(t){let e=t,n=this.threshold,r=this.s.length,i=v.zeros(r,r);for(let t=0;t<r;t++)Math.abs(this.s[t])<=n?i.set(t,t,0):i.set(t,t,1/this.s[t]);let o=this.U,a=this.rightSingularVectors,s=a.mmul(i),l=a.rows,f=o.rows,u=v.zeros(l,f);for(let t=0;t<l;t++)for(let e=0;e<f;e++){let n=0;for(let i=0;i<r;i++)n+=s.get(t,i)*o.get(e,i);u.set(t,e,n)}return u.mmul(e)}solveForDiagonal(t){return this.solve(v.diag(t))}inverse(){let t=this.V,e=this.threshold,n=t.rows,r=t.columns,i=new v(n,this.s.length);for(let o=0;o<n;o++)for(let n=0;n<r;n++)Math.abs(this.s[n])>e&&i.set(o,n,t.get(o,n)/this.s[n]);let o=this.U,a=o.rows,s=o.columns,l=new v(n,a);for(let t=0;t<n;t++)for(let e=0;e<a;e++){let n=0;for(let r=0;r<s;r++)n+=i.get(t,r)*o.get(e,r);l.set(t,e,n)}return l}get condition(){return this.s[0]/this.s[Math.min(this.m,this.n)-1]}get norm2(){return this.s[0]}get rank(){let t=Math.max(this.m,this.n)*this.s[0]*Number.EPSILON,e=0,n=this.s;for(let r=0,i=n.length;r<i;r++)n[r]>t&&e++;return e}get diagonal(){return Array.from(this.s)}get threshold(){return Number.EPSILON/2*Math.max(this.m,this.n)*this.s[0]}get leftSingularVectors(){return this.U}get rightSingularVectors(){return this.V}get diagonalMatrix(){return v.diag(this.s)}}function C(t,e,n=!1){return t=E.checkMatrix(t),e=E.checkMatrix(e),n?new B(t).solve(e):t.isSquare()?new N(t).solve(e):new T(t).solve(e)}function z(t,e){let n=[];for(let r=0;r<t;r++)r!==e&&n.push(r);return n}function R(t,e,n,r=1e-9,i=1e-9){if(t>i)return new Array(e.rows+1).fill(0);{let t=e.addRow(n,[0]);for(let e=0;e<t.rows;e++)Math.abs(t.get(e,0))<r&&t.set(e,0,0);return t.to1DArray()}}class P{constructor(t,e={}){const{assumeSymmetric:n=!1}=e;if(!(t=E.checkMatrix(t)).isSquare())throw new Error(\"Matrix is not a square matrix\");if(t.isEmpty())throw new Error(\"Matrix must be non-empty\");let r,i,o=t.columns,a=new v(o,o),s=new Float64Array(o),l=new Float64Array(o),f=t,u=!1;if(u=!!n||t.isSymmetric(),u){for(r=0;r<o;r++)for(i=0;i<o;i++)a.set(r,i,f.get(r,i));!function(t,e,n,r){let i,o,a,s,l,f,u,c;for(l=0;l<t;l++)n[l]=r.get(t-1,l);for(s=t-1;s>0;s--){for(c=0,a=0,f=0;f<s;f++)c+=Math.abs(n[f]);if(0===c)for(e[s]=n[s-1],l=0;l<s;l++)n[l]=r.get(s-1,l),r.set(s,l,0),r.set(l,s,0);else{for(f=0;f<s;f++)n[f]/=c,a+=n[f]*n[f];for(i=n[s-1],o=Math.sqrt(a),i>0&&(o=-o),e[s]=c*o,a-=i*o,n[s-1]=i-o,l=0;l<s;l++)e[l]=0;for(l=0;l<s;l++){for(i=n[l],r.set(l,s,i),o=e[l]+r.get(l,l)*i,f=l+1;f<=s-1;f++)o+=r.get(f,l)*n[f],e[f]+=r.get(f,l)*i;e[l]=o}for(i=0,l=0;l<s;l++)e[l]/=a,i+=e[l]*n[l];for(u=i/(a+a),l=0;l<s;l++)e[l]-=u*n[l];for(l=0;l<s;l++){for(i=n[l],o=e[l],f=l;f<=s-1;f++)r.set(f,l,r.get(f,l)-(i*e[f]+o*n[f]));n[l]=r.get(s-1,l),r.set(s,l,0)}}n[s]=a}for(s=0;s<t-1;s++){if(r.set(t-1,s,r.get(s,s)),r.set(s,s,1),a=n[s+1],0!==a){for(f=0;f<=s;f++)n[f]=r.get(f,s+1)/a;for(l=0;l<=s;l++){for(o=0,f=0;f<=s;f++)o+=r.get(f,s+1)*r.get(f,l);for(f=0;f<=s;f++)r.set(f,l,r.get(f,l)-o*n[f])}}for(f=0;f<=s;f++)r.set(f,s+1,0)}for(l=0;l<t;l++)n[l]=r.get(t-1,l),r.set(t-1,l,0);r.set(t-1,t-1,1),e[0]=0}(o,l,s,a),function(t,e,n,r){let i,o,a,s,l,f,u,c,h,p,d,g,m,_,y,b;for(a=1;a<t;a++)e[a-1]=e[a];e[t-1]=0;let v=0,w=0,x=Number.EPSILON;for(f=0;f<t;f++){for(w=Math.max(w,Math.abs(n[f])+Math.abs(e[f])),u=f;u<t&&!(Math.abs(e[u])<=x*w);)u++;if(u>f)do{for(i=n[f],c=(n[f+1]-i)/(2*e[f]),h=k(c,1),c<0&&(h=-h),n[f]=e[f]/(c+h),n[f+1]=e[f]*(c+h),p=n[f+1],o=i-n[f],a=f+2;a<t;a++)n[a]-=o;for(v+=o,c=n[u],d=1,g=d,m=d,_=e[f+1],y=0,b=0,a=u-1;a>=f;a--)for(m=g,g=d,b=y,i=d*e[a],o=d*c,h=k(c,e[a]),e[a+1]=y*h,y=e[a]/h,d=c/h,c=d*n[a]-y*i,n[a+1]=o+y*(d*i+y*n[a]),l=0;l<t;l++)o=r.get(l,a+1),r.set(l,a+1,y*r.get(l,a)+d*o),r.set(l,a,d*r.get(l,a)-y*o);c=-y*b*m*_*e[f]/p,e[f]=y*c,n[f]=d*c}while(Math.abs(e[f])>x*w);n[f]=n[f]+v,e[f]=0}for(a=0;a<t-1;a++){for(l=a,c=n[a],s=a+1;s<t;s++)n[s]<c&&(l=s,c=n[s]);if(l!==a)for(n[l]=n[a],n[a]=c,s=0;s<t;s++)c=r.get(s,a),r.set(s,a,r.get(s,l)),r.set(s,l,c)}}(o,l,s,a)}else{let t=new v(o,o),e=new Float64Array(o);for(i=0;i<o;i++)for(r=0;r<o;r++)t.set(r,i,f.get(r,i));!function(t,e,n,r){let i,o,a,s,l,f,u,c=0,h=t-1;for(f=c+1;f<=h-1;f++){for(u=0,s=f;s<=h;s++)u+=Math.abs(e.get(s,f-1));if(0!==u){for(a=0,s=h;s>=f;s--)n[s]=e.get(s,f-1)/u,a+=n[s]*n[s];for(o=Math.sqrt(a),n[f]>0&&(o=-o),a-=n[f]*o,n[f]=n[f]-o,l=f;l<t;l++){for(i=0,s=h;s>=f;s--)i+=n[s]*e.get(s,l);for(i/=a,s=f;s<=h;s++)e.set(s,l,e.get(s,l)-i*n[s])}for(s=0;s<=h;s++){for(i=0,l=h;l>=f;l--)i+=n[l]*e.get(s,l);for(i/=a,l=f;l<=h;l++)e.set(s,l,e.get(s,l)-i*n[l])}n[f]=u*n[f],e.set(f,f-1,u*o)}}for(s=0;s<t;s++)for(l=0;l<t;l++)r.set(s,l,s===l?1:0);for(f=h-1;f>=c+1;f--)if(0!==e.get(f,f-1)){for(s=f+1;s<=h;s++)n[s]=e.get(s,f-1);for(l=f;l<=h;l++){for(o=0,s=f;s<=h;s++)o+=n[s]*r.get(s,l);for(o=o/n[f]/e.get(f,f-1),s=f;s<=h;s++)r.set(s,l,r.get(s,l)+o*n[s])}}}(o,t,e,a),function(t,e,n,r,i){let o,a,s,l,f,u,c,h,p,d,g,m,_,y,b,v=t-1,w=0,x=t-1,M=Number.EPSILON,A=0,S=0,E=0,N=0,k=0,T=0,B=0,C=0;for(o=0;o<t;o++)for((o<w||o>x)&&(n[o]=i.get(o,o),e[o]=0),a=Math.max(o-1,0);a<t;a++)S+=Math.abs(i.get(o,a));for(;v>=w;){for(l=v;l>w&&(T=Math.abs(i.get(l-1,l-1))+Math.abs(i.get(l,l)),0===T&&(T=S),!(Math.abs(i.get(l,l-1))<M*T));)l--;if(l===v)i.set(v,v,i.get(v,v)+A),n[v]=i.get(v,v),e[v]=0,v--,C=0;else if(l===v-1){if(c=i.get(v,v-1)*i.get(v-1,v),E=(i.get(v-1,v-1)-i.get(v,v))/2,N=E*E+c,B=Math.sqrt(Math.abs(N)),i.set(v,v,i.get(v,v)+A),i.set(v-1,v-1,i.get(v-1,v-1)+A),h=i.get(v,v),N>=0){for(B=E>=0?E+B:E-B,n[v-1]=h+B,n[v]=n[v-1],0!==B&&(n[v]=h-c/B),e[v-1]=0,e[v]=0,h=i.get(v,v-1),T=Math.abs(h)+Math.abs(B),E=h/T,N=B/T,k=Math.sqrt(E*E+N*N),E/=k,N/=k,a=v-1;a<t;a++)B=i.get(v-1,a),i.set(v-1,a,N*B+E*i.get(v,a)),i.set(v,a,N*i.get(v,a)-E*B);for(o=0;o<=v;o++)B=i.get(o,v-1),i.set(o,v-1,N*B+E*i.get(o,v)),i.set(o,v,N*i.get(o,v)-E*B);for(o=w;o<=x;o++)B=r.get(o,v-1),r.set(o,v-1,N*B+E*r.get(o,v)),r.set(o,v,N*r.get(o,v)-E*B)}else n[v-1]=h+E,n[v]=h+E,e[v-1]=B,e[v]=-B;v-=2,C=0}else{if(h=i.get(v,v),p=0,c=0,l<v&&(p=i.get(v-1,v-1),c=i.get(v,v-1)*i.get(v-1,v)),10===C){for(A+=h,o=w;o<=v;o++)i.set(o,o,i.get(o,o)-h);T=Math.abs(i.get(v,v-1))+Math.abs(i.get(v-1,v-2)),h=p=.75*T,c=-.4375*T*T}if(30===C&&(T=(p-h)/2,T=T*T+c,T>0)){for(T=Math.sqrt(T),p<h&&(T=-T),T=h-c/((p-h)/2+T),o=w;o<=v;o++)i.set(o,o,i.get(o,o)-T);A+=T,h=p=c=.964}for(C+=1,f=v-2;f>=l&&(B=i.get(f,f),k=h-B,T=p-B,E=(k*T-c)/i.get(f+1,f)+i.get(f,f+1),N=i.get(f+1,f+1)-B-k-T,k=i.get(f+2,f+1),T=Math.abs(E)+Math.abs(N)+Math.abs(k),E/=T,N/=T,k/=T,f!==l)&&!(Math.abs(i.get(f,f-1))*(Math.abs(N)+Math.abs(k))<M*(Math.abs(E)*(Math.abs(i.get(f-1,f-1))+Math.abs(B)+Math.abs(i.get(f+1,f+1)))));)f--;for(o=f+2;o<=v;o++)i.set(o,o-2,0),o>f+2&&i.set(o,o-3,0);for(s=f;s<=v-1&&(y=s!==v-1,s!==f&&(E=i.get(s,s-1),N=i.get(s+1,s-1),k=y?i.get(s+2,s-1):0,h=Math.abs(E)+Math.abs(N)+Math.abs(k),0!==h&&(E/=h,N/=h,k/=h)),0!==h);s++)if(T=Math.sqrt(E*E+N*N+k*k),E<0&&(T=-T),0!==T){for(s!==f?i.set(s,s-1,-T*h):l!==f&&i.set(s,s-1,-i.get(s,s-1)),E+=T,h=E/T,p=N/T,B=k/T,N/=E,k/=E,a=s;a<t;a++)E=i.get(s,a)+N*i.get(s+1,a),y&&(E+=k*i.get(s+2,a),i.set(s+2,a,i.get(s+2,a)-E*B)),i.set(s,a,i.get(s,a)-E*h),i.set(s+1,a,i.get(s+1,a)-E*p);for(o=0;o<=Math.min(v,s+3);o++)E=h*i.get(o,s)+p*i.get(o,s+1),y&&(E+=B*i.get(o,s+2),i.set(o,s+2,i.get(o,s+2)-E*k)),i.set(o,s,i.get(o,s)-E),i.set(o,s+1,i.get(o,s+1)-E*N);for(o=w;o<=x;o++)E=h*r.get(o,s)+p*r.get(o,s+1),y&&(E+=B*r.get(o,s+2),r.set(o,s+2,r.get(o,s+2)-E*k)),r.set(o,s,r.get(o,s)-E),r.set(o,s+1,r.get(o,s+1)-E*N)}}}if(0===S)return;for(v=t-1;v>=0;v--)if(E=n[v],N=e[v],0===N)for(l=v,i.set(v,v,1),o=v-1;o>=0;o--){for(c=i.get(o,o)-E,k=0,a=l;a<=v;a++)k+=i.get(o,a)*i.get(a,v);if(e[o]<0)B=c,T=k;else if(l=o,0===e[o]?i.set(o,v,0!==c?-k/c:-k/(M*S)):(h=i.get(o,o+1),p=i.get(o+1,o),N=(n[o]-E)*(n[o]-E)+e[o]*e[o],u=(h*T-B*k)/N,i.set(o,v,u),i.set(o+1,v,Math.abs(h)>Math.abs(B)?(-k-c*u)/h:(-T-p*u)/B)),u=Math.abs(i.get(o,v)),M*u*u>1)for(a=o;a<=v;a++)i.set(a,v,i.get(a,v)/u)}else if(N<0)for(l=v-1,Math.abs(i.get(v,v-1))>Math.abs(i.get(v-1,v))?(i.set(v-1,v-1,N/i.get(v,v-1)),i.set(v-1,v,-(i.get(v,v)-E)/i.get(v,v-1))):(b=I(0,-i.get(v-1,v),i.get(v-1,v-1)-E,N),i.set(v-1,v-1,b[0]),i.set(v-1,v,b[1])),i.set(v,v-1,0),i.set(v,v,1),o=v-2;o>=0;o--){for(d=0,g=0,a=l;a<=v;a++)d+=i.get(o,a)*i.get(a,v-1),g+=i.get(o,a)*i.get(a,v);if(c=i.get(o,o)-E,e[o]<0)B=c,k=d,T=g;else if(l=o,0===e[o]?(b=I(-d,-g,c,N),i.set(o,v-1,b[0]),i.set(o,v,b[1])):(h=i.get(o,o+1),p=i.get(o+1,o),m=(n[o]-E)*(n[o]-E)+e[o]*e[o]-N*N,_=2*(n[o]-E)*N,0===m&&0===_&&(m=M*S*(Math.abs(c)+Math.abs(N)+Math.abs(h)+Math.abs(p)+Math.abs(B))),b=I(h*k-B*d+N*g,h*T-B*g-N*d,m,_),i.set(o,v-1,b[0]),i.set(o,v,b[1]),Math.abs(h)>Math.abs(B)+Math.abs(N)?(i.set(o+1,v-1,(-d-c*i.get(o,v-1)+N*i.get(o,v))/h),i.set(o+1,v,(-g-c*i.get(o,v)-N*i.get(o,v-1))/h)):(b=I(-k-p*i.get(o,v-1),-T-p*i.get(o,v),B,N),i.set(o+1,v-1,b[0]),i.set(o+1,v,b[1]))),u=Math.max(Math.abs(i.get(o,v-1)),Math.abs(i.get(o,v))),M*u*u>1)for(a=o;a<=v;a++)i.set(a,v-1,i.get(a,v-1)/u),i.set(a,v,i.get(a,v)/u)}for(o=0;o<t;o++)if(o<w||o>x)for(a=o;a<t;a++)r.set(o,a,i.get(o,a));for(a=t-1;a>=w;a--)for(o=w;o<=x;o++){for(B=0,s=w;s<=Math.min(a,x);s++)B+=r.get(o,s)*i.get(s,a);r.set(o,a,B)}}(o,l,s,a,t)}this.n=o,this.e=l,this.d=s,this.V=a}get realEigenvalues(){return Array.from(this.d)}get imaginaryEigenvalues(){return Array.from(this.e)}get eigenvectorMatrix(){return this.V}get diagonalMatrix(){let t,e,n=this.n,r=this.e,i=this.d,o=new v(n,n);for(t=0;t<n;t++){for(e=0;e<n;e++)o.set(t,e,0);o.set(t,t,i[t]),r[t]>0?o.set(t,t+1,r[t]):r[t]<0&&o.set(t,t-1,r[t])}return o}}function I(t,e,n,r){let i,o;return Math.abs(n)>Math.abs(r)?(i=r/n,o=n+i*r,[(t+i*e)/o,(e-i*t)/o]):(i=n/r,o=r+i*n,[(i*t+e)/o,(i*e-t)/o])}class ${constructor(t){if(!(t=E.checkMatrix(t)).isSymmetric())throw new Error(\"Matrix is not symmetric\");let e,n,r,i=t,o=i.rows,a=new v(o,o),s=!0;for(n=0;n<o;n++){let t=0;for(r=0;r<n;r++){let o=0;for(e=0;e<r;e++)o+=a.get(r,e)*a.get(n,e);o=(i.get(n,r)-o)/a.get(r,r),a.set(n,r,o),t+=o*o}for(t=i.get(n,n)-t,s&&=t>0,a.set(n,n,Math.sqrt(Math.max(t,0))),r=n+1;r<o;r++)a.set(n,r,0)}this.L=a,this.positiveDefinite=s}isPositiveDefinite(){return this.positiveDefinite}solve(t){t=E.checkMatrix(t);let e=this.L,n=e.rows;if(t.rows!==n)throw new Error(\"Matrix dimensions do not match\");if(!1===this.isPositiveDefinite())throw new Error(\"Matrix is not positive definite\");let r,i,o,a=t.columns,s=t.clone();for(o=0;o<n;o++)for(i=0;i<a;i++){for(r=0;r<o;r++)s.set(o,i,s.get(o,i)-s.get(r,i)*e.get(o,r));s.set(o,i,s.get(o,i)/e.get(o,o))}for(o=n-1;o>=0;o--)for(i=0;i<a;i++){for(r=o+1;r<n;r++)s.set(o,i,s.get(o,i)-s.get(r,i)*e.get(r,o));s.set(o,i,s.get(o,i)/e.get(o,o))}return s}get lowerTriangularMatrix(){return this.L}}class O{constructor(e,n={}){e=E.checkMatrix(e);let{Y:r}=n;const{scaleScores:i=!1,maxIterations:o=1e3,terminationCriteria:a=1e-10}=n;let s;if(r){if(r=t.isAnyArray(r)&&\"number\"==typeof r[0]?v.columnVector(r):E.checkMatrix(r),r.rows!==e.rows)throw new Error(\"Y should have the same number of rows as X\");s=r.getColumnVector(0)}else s=e.getColumnVector(0);let l,f,u,c,h=1;for(let t=0;t<o&&h>a;t++)u=e.transpose().mmul(s).div(s.transpose().mmul(s).get(0,0)),u=u.div(u.norm()),l=e.mmul(u).div(u.transpose().mmul(u).get(0,0)),t>0&&(h=l.clone().sub(c).pow(2).sum()),c=l.clone(),r?(f=r.transpose().mmul(l).div(l.transpose().mmul(l).get(0,0)),f=f.div(f.norm()),s=r.mmul(f).div(f.transpose().mmul(f).get(0,0))):s=l;if(r){let t=e.transpose().mmul(l).div(l.transpose().mmul(l).get(0,0));t=t.div(t.norm());let n=e.clone().sub(l.clone().mmul(t.transpose())),i=s.transpose().mmul(l).div(l.transpose().mmul(l).get(0,0)),o=r.clone().sub(l.clone().mulS(i.get(0,0)).mmul(f.transpose()));this.t=l,this.p=t.transpose(),this.w=u.transpose(),this.q=f,this.u=s,this.s=l.transpose().mmul(l),this.xResidual=n,this.yResidual=o,this.betas=i}else this.w=u.transpose(),this.s=l.transpose().mmul(l).sqrt(),this.t=i?l.clone().div(this.s.get(0,0)):l,this.xResidual=e.sub(l.mmul(u.transpose()))}}return zM.AbstractMatrix=_,zM.CHO=$,zM.CholeskyDecomposition=$,zM.DistanceMatrix=x,zM.EVD=P,zM.EigenvalueDecomposition=P,zM.LU=N,zM.LuDecomposition=N,zM.Matrix=v,zM.MatrixColumnSelectionView=class extends M{constructor(t,e){h(t,e),super(t,t.rows,e.length),this.columnIndices=e}set(t,e,n){return this.matrix.set(t,this.columnIndices[e],n),this}get(t,e){return this.matrix.get(t,this.columnIndices[e])}},zM.MatrixColumnView=class extends M{constructor(t,e){l(t,e),super(t,t.rows,1),this.column=e}set(t,e,n){return this.matrix.set(t,this.column,n),this}get(t){return this.matrix.get(t,this.column)}},zM.MatrixFlipColumnView=class extends M{constructor(t){super(t,t.rows,t.columns)}set(t,e,n){return this.matrix.set(t,this.columns-e-1,n),this}get(t,e){return this.matrix.get(t,this.columns-e-1)}},zM.MatrixFlipRowView=class extends M{constructor(t){super(t,t.rows,t.columns)}set(t,e,n){return this.matrix.set(this.rows-t-1,e,n),this}get(t,e){return this.matrix.get(this.rows-t-1,e)}},zM.MatrixRowSelectionView=class extends M{constructor(t,e){c(t,e),super(t,e.length,t.columns),this.rowIndices=e}set(t,e,n){return this.matrix.set(this.rowIndices[t],e,n),this}get(t,e){return this.matrix.get(this.rowIndices[t],e)}},zM.MatrixRowView=class extends M{constructor(t,e){s(t,e),super(t,1,t.columns),this.row=e}set(t,e,n){return this.matrix.set(this.row,e,n),this}get(t,e){return this.matrix.get(this.row,e)}},zM.MatrixSelectionView=A,zM.MatrixSubView=class extends M{constructor(t,e,n,r,i){p(t,e,n,r,i),super(t,n-e+1,i-r+1),this.startRow=e,this.startColumn=r}set(t,e,n){return this.matrix.set(this.startRow+t,this.startColumn+e,n),this}get(t,e){return this.matrix.get(this.startRow+t,this.startColumn+e)}},zM.MatrixTransposeView=class extends M{constructor(t){super(t,t.columns,t.rows)}set(t,e,n){return this.matrix.set(e,t,n),this}get(t,e){return this.matrix.get(e,t)}},zM.NIPALS=O,zM.Nipals=O,zM.QR=T,zM.QrDecomposition=T,zM.SVD=B,zM.SingularValueDecomposition=B,zM.SymmetricMatrix=w,zM.WrapperMatrix1D=S,zM.WrapperMatrix2D=E,zM.correlation=function(e,n=e,r={}){e=new v(e);let i=!1;if(\"object\"!=typeof n||v.isMatrix(n)||t.isAnyArray(n)?n=new v(n):(r=n,n=e,i=!0),e.rows!==n.rows)throw new TypeError(\"Both matrices must have the same number of rows\");const{center:o=!0,scale:a=!0}=r;o&&(e.center(\"column\"),i||n.center(\"column\")),a&&(e.scale(\"column\"),i||n.scale(\"column\"));const s=e.standardDeviation(\"column\",{unbiased:!0}),l=i?s:n.standardDeviation(\"column\",{unbiased:!0}),f=e.transpose().mmul(n);for(let t=0;t<f.rows;t++)for(let n=0;n<f.columns;n++)f.set(t,n,f.get(t,n)*(1/(s[t]*l[n]))*(1/(e.rows-1)));return f},zM.covariance=function(e,n=e,r={}){e=new v(e);let i=!1;if(\"object\"!=typeof n||v.isMatrix(n)||t.isAnyArray(n)?n=new v(n):(r=n,n=e,i=!0),e.rows!==n.rows)throw new TypeError(\"Both matrices must have the same number of rows\");const{center:o=!0}=r;o&&(e=e.center(\"column\"),i||(n=n.center(\"column\")));const a=e.transpose().mmul(n);for(let t=0;t<a.rows;t++)for(let n=0;n<a.columns;n++)a.set(t,n,a.get(t,n)*(1/(e.rows-1)));return a},zM.default=v,zM.determinant=function t(e){if((e=v.checkMatrix(e)).isSquare()){if(0===e.columns)return 1;let n,r,i,o;if(2===e.columns)return n=e.get(0,0),r=e.get(0,1),i=e.get(1,0),o=e.get(1,1),n*o-r*i;if(3===e.columns){let o,a,s;return o=new A(e,[1,2],[1,2]),a=new A(e,[1,2],[0,2]),s=new A(e,[1,2],[0,1]),n=e.get(0,0),r=e.get(0,1),i=e.get(0,2),n*t(o)-r*t(a)+i*t(s)}return new N(e).determinant}throw Error(\"determinant can only be calculated for a square matrix\")},zM.inverse=function(t,e=!1){return t=E.checkMatrix(t),e?new B(t).inverse():C(t,v.eye(t.rows))},zM.linearDependencies=function(t,e={}){const{thresholdValue:n=1e-9,thresholdError:r=1e-9}=e;let i=(t=v.checkMatrix(t)).rows,o=new v(i,i);for(let e=0;e<i;e++){let a=v.columnVector(t.getRow(e)),s=t.subMatrixRow(z(i,e)).transpose(),l=new B(s).solve(a),f=v.sub(a,s.mmul(l)).abs().max();o.setRow(e,R(f,l,e,n,r))}return o},zM.pseudoInverse=function(t,e=Number.EPSILON){if((t=v.checkMatrix(t)).isEmpty())return t.transpose();let n=new B(t,{autoTranspose:!0}),r=n.leftSingularVectors,i=n.rightSingularVectors,o=n.diagonal;for(let t=0;t<o.length;t++)Math.abs(o[t])>e?o[t]=1/o[t]:o[t]=0;return i.mmul(v.diag(o).mmul(r.transpose()))},zM.solve=C,zM.wrap=function(e,n){if(t.isAnyArray(e))return e[0]&&t.isAnyArray(e[0])?new E(e):new S(e,n);throw new Error(\"the argument is not an array\")},zM}var FM=DM(),jM=BM(FM);const qM=FM.EVD,LM=FM.Matrix,UM=FM.MatrixTransposeView,VM=FM.NIPALS,YM=FM.SVD;jM.Matrix?jM.Matrix:FM.Matrix;const HM=FM.inverse;var GM,XM,WM,ZM={exports:{}},KM=ZM.exports;function QM(){return GM||(GM=1,t=ZM,function(){var e,n,r,i,o,a,s,l,f,u,c,h,p,d,g;r=Math.floor,u=Math.min,n=function(t,e){return t<e?-1:t>e?1:0},f=function(t,e,i,o,a){var s;if(null==i&&(i=0),null==a&&(a=n),i<0)throw new Error(\"lo must be non-negative\");for(null==o&&(o=t.length);i<o;)a(e,t[s=r((i+o)/2)])<0?o=s:i=s+1;return[].splice.apply(t,[i,i-i].concat(e)),e},a=function(t,e,r){return null==r&&(r=n),t.push(e),d(t,0,t.length-1,r)},o=function(t,e){var r,i;return null==e&&(e=n),r=t.pop(),t.length?(i=t[0],t[0]=r,g(t,0,e)):i=r,i},l=function(t,e,r){var i;return null==r&&(r=n),i=t[0],t[0]=e,g(t,0,r),i},s=function(t,e,r){var i;return null==r&&(r=n),t.length&&r(t[0],e)<0&&(e=(i=[t[0],e])[0],t[0]=i[1],g(t,0,r)),e},i=function(t,e){var i,o,a,s,l,f;for(null==e&&(e=n),l=[],o=0,a=(s=function(){f=[];for(var e=0,n=r(t.length/2);0<=n?e<n:e>n;0<=n?e++:e--)f.push(e);return f}.apply(this).reverse()).length;o<a;o++)i=s[o],l.push(g(t,i,e));return l},p=function(t,e,r){var i;if(null==r&&(r=n),-1!==(i=t.indexOf(e)))return d(t,0,i,r),g(t,i,r)},c=function(t,e,r){var o,a,l,f,u;if(null==r&&(r=n),!(a=t.slice(0,e)).length)return a;for(i(a,r),l=0,f=(u=t.slice(e)).length;l<f;l++)o=u[l],s(a,o,r);return a.sort(r).reverse()},h=function(t,e,r){var a,s,l,c,h,p,d,g,m;if(null==r&&(r=n),10*e<=t.length){if(!(l=t.slice(0,e).sort(r)).length)return l;for(s=l[l.length-1],c=0,p=(d=t.slice(e)).length;c<p;c++)r(a=d[c],s)<0&&(f(l,a,0,null,r),l.pop(),s=l[l.length-1]);return l}for(i(t,r),m=[],h=0,g=u(e,t.length);0<=g?h<g:h>g;0<=g?++h:--h)m.push(o(t,r));return m},d=function(t,e,r,i){var o,a,s;for(null==i&&(i=n),o=t[r];r>e&&i(o,a=t[s=r-1>>1])<0;)t[r]=a,r=s;return t[r]=o},g=function(t,e,r){var i,o,a,s,l;for(null==r&&(r=n),o=t.length,l=e,a=t[e],i=2*e+1;i<o;)(s=i+1)<o&&!(r(t[i],t[s])<0)&&(i=s),t[e]=t[i],i=2*(e=i)+1;return t[e]=a,d(t,l,e,r)},e=function(){function t(t){this.cmp=null!=t?t:n,this.nodes=[]}return t.push=a,t.pop=o,t.replace=l,t.pushpop=s,t.heapify=i,t.updateItem=p,t.nlargest=c,t.nsmallest=h,t.prototype.push=function(t){return a(this.nodes,t,this.cmp)},t.prototype.pop=function(){return 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LM(t));const{isCovarianceMatrix:i=!1,method:o=\"SVD\",nCompNIPALS:a=2,center:s=!0,scale:l=!1,ignoreZeroVariance:f=!1}=e;if(this.center=s,this.scale=l,this.means=null,this.stdevs=null,this.excludedFeatures=[],i)this._computeFromCovarianceMatrix(r);else switch(this._adjust(r,f),o){case\"covarianceMatrix\":{const t=new UM(r).mmul(r).div(r.rows-1);this._computeFromCovarianceMatrix(t);break}case\"NIPALS\":this._computeWithNIPALS(r,a);break;case\"SVD\":{const t=new YM(r,{computeLeftSingularVectors:!1,computeRightSingularVectors:!0,autoTranspose:!0});this.U=t.rightSingularVectors;const e=t.diagonal,n=[];for(const t of e)n.push(t*t/(r.rows-1));this.S=n;break}default:throw new Error(`unknown method: ${o}`)}}static load(t){if(\"string\"!=typeof t.name)throw new TypeError(\"model must have a name property\");if(\"PCA\"!==t.name)throw new RangeError(`invalid model: ${t.name}`);return new zA(void 0,void 0,t)}predict(t,e={}){const{nComponents:n=this.U.columns}=e;let r;if(r=(Array.isArray(t),new LM(t)),this.center&&(r.subRowVector(this.means),this.scale)){for(let t of this.excludedFeatures)r.removeColumn(t);r.divRowVector(this.stdevs)}let i=r.mmul(this.U);return i.subMatrix(0,i.rows-1,0,n-1)}invert(t){let e=(t=LM.checkMatrix(t)).mmul(this.U.transpose());return this.center&&(this.scale&&e.mulRowVector(this.stdevs),e.addRowVector(this.means)),e}getExplainedVariance(){let t=0;if(this.S)for(const e of this.S)t+=e;return this.S?this.S.map(e=>e/t):[]}getCumulativeVariance(){let t=this.getExplainedVariance();for(let e=1;e<t.length;e++)t[e]+=t[e-1];return t}getEigenvectors(){return this.U}getEigenvalues(){return this.S}getStandardDeviations(){return this.S.map(t=>Math.sqrt(t))}getLoadings(){return this.U.transpose()}toJSON(){return{name:\"PCA\",center:this.center,scale:this.scale,means:this.means,stdevs:this.stdevs,U:this.U,S:this.S,excludedFeatures:this.excludedFeatures}}_adjust(t,e){if(this.center){const 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hclust_distance_plot,CA as hclust_plot,pA as heatmap_plot,t as irisData,AS as pairsDt,NS as pairs_UI,ES as pairs_plot,RA as pcaDt,$A as pca_UI,IA as pca_plot,yA as removeNonNumberValues,mA as removeNonNumbers,bA as removeNumberValues,_A as removeNumbers,wA as scale,vS as scatterDt,MS as scatter_UI,xS as scatter_plot,e as spiralData,BS as standardizeColumns,MA as textBox,LA as tsneDt,VA as tsne_UI,UA as tsne_plot,_S as umapDt,bS as umap_UI,yS as umap_plot,PS as version};\n//# sourceMappingURL=sdk.mjs.map\n","function inlineStyles(source, target) {\n  // inline style from source element to the target (detached) one\n  const computed = window.getComputedStyle(source);\n  for (const styleKey of computed) {\n    target.style[styleKey] = computed[styleKey];\n  }\n\n  // recursively call inlineStyles for the element children\n  for (let i = 0; i < source.children.length; i++) {\n    inlineStyles(source.children[i], target.children[i]);\n  }\n}\n\nfunction copyToCanvas({ source, target, scale, format, quality }) {\n  let svgData = new XMLSerializer().serializeToString(target);\n  let canvas = document.createElement('canvas');\n  let svgSize = source.getBoundingClientRect();\n\n  //Resize can break shadows\n  canvas.width = svgSize.width * scale;\n  canvas.height = svgSize.height * scale;\n  canvas.style.width = svgSize.width;\n  canvas.style.height = svgSize.height;\n\n  let ctxt = canvas.getContext('2d');\n  ctxt.scale(scale, scale);\n\n  let img = document.createElement('img');\n\n  img.setAttribute(\n    'src',\n    'data:image/svg+xml;base64,' + btoa(unescape(encodeURIComponent(svgData)))\n  );\n  return new Promise(resolve => {\n    img.onload = () => {\n      ctxt.drawImage(img, 0, 0);\n      resolve(\n        canvas.toDataURL(`image/${format === 'jpg' ? 'jpeg' : format}`, quality)\n      );\n    };\n  });\n}\n\nfunction downloadImage({ file, name, format }) {\n  let a = document.createElement('a');\n  a.download = `${name}.${format}`;\n  a.href = file;\n  document.body.appendChild(a);\n  a.click();\n  document.body.removeChild(a);\n}\n\nmodule.exports = async function (\n  source,\n  name,\n  {\n    scale = 1,\n    format = 'png',\n    quality = 0.92,\n    download = true,\n    ignore = null,\n    cssinline = 1,\n    background = null\n  } = {}\n) {\n  // Accept a selector or directly a DOM Element\n  source = source instanceof Element ? source : document.querySelector(source);\n\n  // Create a new SVG element similar to the source one to avoid modifying the\n  // source element.\n  const target = document.createElementNS('http://www.w3.org/2000/svg', 'svg');\n  target.innerHTML = source.innerHTML;\n  for (const attr of source.attributes) {\n    target.setAttribute(attr.name, attr.value);\n  }\n\n  // Set all the css styles inline on the target element based on the styles\n  // of the source element\n  if (cssinline === 1) {\n    inlineStyles(source, target);\n  }\n\n  if (background) {\n    target.style.background = background;\n  }\n\n  //Remove unwanted elements\n  if (ignore != null) {\n    const elts = target.querySelectorAll(ignore);\n    [].forEach.call(elts, elt => elt.parentNode.removeChild(elt));\n  }\n\n  //Copy all html to a new canvas\n  const file = await copyToCanvas({\n    source,\n    target,\n    scale,\n    format,\n    quality\n  });\n\n  if (download) {\n    downloadImage({ file, name, format });\n  }\n  return file;\n};\n","import { hclust_plot } from \"../sdk/clustSdk.js\";\r\nimport d3ToPng from \"d3-svg-to-png\";\r\n\r\n// clust.js adds the PRS Clustering tab for your PRS app.\r\n//\r\n// PRS-level clustering\r\n// Converts PRS results into a user × PGS matrix.\r\n// Rows = users.\r\n// Columns = PGS entries.\r\n// Values = PRS scores.\r\n// Clusters users and/or PGS entries.\r\n//\r\n// It also includes:\r\n// a caching system to avoid recomputing the pivoted matrix every time the tab rerenders\r\n// buttons for row/column clustering\r\n// linkage choices: complete, single, average, ward\r\n// distance choices: euclidean, manhattan, cosine\r\n// calls to hclust_plot() to render heatmap + dendrogram plots\r\n\r\nconst clusterContainerId = \"clusterDiv\";\r\n\r\n// Caching mechanism to avoid redundant computations\r\n// This is not persistent - it only lasts for the current browser session\r\nlet clusterCache = {\r\n  prsResultsHash: null,      // Hash of prsResults to detect changes\r\n  pivoted: null,\r\n  pgsIds: null,\r\n  userIds: null,\r\n};\r\n\r\n// Ward-linkage constraint messages (shared by the initial template and the\r\n// in-place control updates).\r\nconst WARD_TITLE = 'Ward linkage requires Euclidean distance (ward.D2). Switch distance to Euclidean to enable it.';\r\nconst NON_EUCLIDEAN_TITLE = 'Disabled with Ward linkage — Ward only retains its minimum-variance interpretation under Euclidean distance.';\r\n\r\n// Small-matrix guard message: pairwise distances need at least 2 jointly\r\n// observed values, so clustering either axis requires at least a 2 × 2 matrix.\r\nconst MIN_MATRIX_TITLE = 'Clustering requires at least 2 users and 2 models (a 2 × 2 PRS matrix).';\r\n\r\n// Plot-only re-render machinery: the token supersedes stale renders and the\r\n// promise queue serializes hclust_plot calls so rapid option clicks can't\r\n// interleave their SVG output in the mount.\r\nlet _plotToken = 0;\r\nlet _plotQueue = Promise.resolve();\r\n\r\n/**\r\n * Generate a simple hash of prsResults to detect changes\r\n */\r\nfunction hashPrsResults(results) {\r\n  if (!Array.isArray(results) || results.length === 0) return null;\r\n  // Use length + sum of PRS values as a quick hash\r\n  let hash = results.length;\r\n  for (const r of results) {\r\n    if (r.PRS != null && Number.isFinite(r.PRS)) {\r\n      hash += r.PRS;\r\n    }\r\n  }\r\n  return `${hash}-${results.length}`;\r\n}\r\n\r\n/**\r\n * Check if cache is valid for current data\r\n */\r\nfunction isCacheValid(currentHash) {\r\n  return clusterCache.prsResultsHash === currentHash &&\r\n         clusterCache.pivoted !== null;\r\n}\r\n\r\n/**\r\n * Invalidate the cluster cache (call when data changes)\r\n */\r\nfunction invalidateClusterCache() {\r\n  clusterCache = {\r\n    prsResultsHash: null,\r\n    pivoted: null,\r\n    pgsIds: null,\r\n    userIds: null,\r\n  };\r\n  // console.log(\"Cluster cache invalidated\");\r\n}\r\n\r\n// Expose cache invalidation globally so it can be called when PRS is recalculated\r\nwindow.invalidateClusterCache = invalidateClusterCache;\r\n\r\n// Expose cluster cache via getter so AI Interpret tab can summarize clustering results.\r\n// Uses a getter because invalidateClusterCache() reassigns the clusterCache variable.\r\nwindow.getClusterCache = () => clusterCache;\r\n\r\n\r\n/**\r\n * Find the user/participant object behind a PRS result id, looking in the users\r\n * loaded for the PRS calculation and in the Genomic Data tab selection.\r\n * @param {string} userId\r\n * @returns {Object|null}\r\n */\r\nfunction findUserById(userId) {\r\n  const matches = (id) => id != null && id === userId;\r\n  const loaded = (window.loadedUsers ?? []).find(d => matches(d?.user?.id) || matches(d?.user?.participant_id));\r\n  if (loaded?.user) return loaded.user;\r\n  const selected = (window.getSelectedUsers?.() ?? []).find(u => matches(u?.id) || matches(u?.participant_id));\r\n  return selected ?? null;\r\n}\r\n\r\n/**\r\n * Build the 23andMe array-version prefix for a user, e.g. \"v5\" or \"v4_v5\" when the\r\n * participant has files from more than one chip version. Versions come from the\r\n * curated metadata (user.version / genotypes[].version) or, failing that, are\r\n * inferred from the filename/URL (…_v5_Full_….txt).\r\n * @param {string} userId\r\n * @returns {string} \"v5\", \"v4_v5\", or \"\" when no version is known\r\n */\r\nfunction getUserVersionPrefix(userId) {\r\n  const user = findUserById(userId);\r\n  if (!user) return '';\r\n\r\n  const genos = Array.isArray(user.genotypes) ? user.genotypes : [];\r\n  const versions = new Set();\r\n\r\n  const addVersion = (value) => {\r\n    const m = String(value ?? '').match(/^v?(\\d+)$/i);\r\n    if (m) versions.add(Number(m[1]));\r\n  };\r\n  const addFromFilename = (value) => {\r\n    const m = String(value ?? '').match(/[_-]v(\\d+)[_.-]/i);\r\n    if (m) versions.add(Number(m[1]));\r\n  };\r\n\r\n  addVersion(user.version);\r\n  addFromFilename(user.fileName ?? user.filename);\r\n  addFromFilename(user.downloadUrl ?? user.download_url ?? user.url ?? user.finalUrl);\r\n  for (const g of genos) {\r\n    addVersion(g?.version);\r\n    addFromFilename(g?.filename ?? g?.file ?? g?.download_url);\r\n  }\r\n\r\n  if (versions.size === 0) return '';\r\n  return Array.from(versions).sort((a, b) => a - b).map(v => `v${v}`).join('_');\r\n}\r\n\r\n/**\r\n * Pivot window.prsResults (flat array of {userId, pgsId, PRS}) into\r\n * one object per user where each key is a pgsId and the value is PRS.\r\n * Returns null if no usable results exist.\r\n */\r\nfunction pivotPrsResults(rawResults) {\r\n  if (!Array.isArray(rawResults) || rawResults.length === 0) return null;\r\n\r\n  const byUser = new Map();\r\n  for (const r of rawResults) {\r\n    if (!r.userId || r.PRS == null || !Number.isFinite(r.PRS)) continue;\r\n    if (!byUser.has(r.userId)) {\r\n      const name = r.userName ?? r.userId;\r\n      const version = getUserVersionPrefix(r.userId);\r\n      byUser.set(r.userId, { label: version ? `${version} ${name}` : name });\r\n    }\r\n    byUser.get(r.userId)[r.pgsId] = r.PRS;\r\n  }\r\n\r\n  const rows = Array.from(byUser.values());\r\n  // A single user still yields a useful 1 × N heatmap; row clustering for\r\n  // degenerate matrices is disabled by the small-matrix guard in\r\n  // getClusterOptions() rather than by suppressing the whole tab.\r\n  return rows.length >= 1 ? rows : null;\r\n}\r\n\r\n/**\r\n * Standardize (z-score) each PGS column across users so that no single model\r\n * dominates the clustering distance purely because of its scale.\r\n * For each PGS: z = (value - mean) / sd, computed across all users that have a\r\n * finite value, using the sample standard deviation (n - 1 denominator) so the\r\n * result matches R's scale(). Columns with fewer than 2 finite values (or zero\r\n * variance) are left effectively unscaled (sd defaults to 1). Missing values\r\n * stay missing.\r\n * @param {Array<Object>} pivoted - Row objects: { label, <pgsId>: value, ... }\r\n * @param {string[]} pgsIds - PGS column ids to standardize\r\n * @returns {Array<Object>} New row objects with z-scored values.\r\n */\r\nfunction standardizePivot(pivoted, pgsIds) {\r\n  if (!Array.isArray(pivoted) || pivoted.length === 0) return pivoted;\r\n  const round = v => (Number.isFinite(v) ? Number(v.toFixed(4)) : null);\r\n\r\n  // Per-PGS mean/sd across users.\r\n  const stats = {};\r\n  for (const pgsId of pgsIds) {\r\n    const vals = pivoted.map(row => row[pgsId]).filter(v => Number.isFinite(v));\r\n    if (vals.length < 2) continue;\r\n    const mean = vals.reduce((a, b) => a + b, 0) / vals.length;\r\n    // Sample standard deviation (n - 1 denominator), matching R's sd()/scale().\r\n    const sumSquared = vals.reduce((a, b) => a + (b - mean) ** 2, 0);\r\n    const sd = Math.sqrt(sumSquared / (vals.length - 1)) || 1;\r\n    stats[pgsId] = { mean, sd };\r\n  }\r\n\r\n  return pivoted.map(row => {\r\n    const out = { label: row.label };\r\n    for (const pgsId of pgsIds) {\r\n      const v = row[pgsId];\r\n      if (!Number.isFinite(v)) continue;\r\n      const s = stats[pgsId];\r\n      out[pgsId] = s ? round((v - s.mean) / s.sd) : round(v);\r\n    }\r\n    return out;\r\n  });\r\n}\r\n\r\n/**\r\n * Build a { pgsId -> reported trait } lookup from the raw PRS results.\r\n * @param {Array<Object>} rawResults - window.prsResults entries\r\n * @returns {Object<string,string>} Map of PGS id to its trait name.\r\n */\r\nfunction getPgsTraitMap(rawResults) {\r\n  const map = {};\r\n  if (!Array.isArray(rawResults)) return map;\r\n  for (const r of rawResults) {\r\n    const pgsId = r?.pgsId;\r\n    if (!pgsId || map[pgsId]) continue;\r\n    const trait =\r\n      r.pgs?.meta?.trait_reported ??\r\n      r.pgs?.meta?.trait_mapped ??\r\n      r.organized?.summary?.trait ??\r\n      '';\r\n    if (trait) map[pgsId] = String(trait);\r\n  }\r\n  return map;\r\n}\r\n\r\n/**\r\n * Return a copy of the pivoted matrix with each PGS column key relabeled as\r\n * \"<pgsId> — <trait>\" for display. The `label` (user name) key is preserved.\r\n * Used only for the plot so cached data and CSV/JSON downloads keep raw PGS ids.\r\n * Note: ClustJS truncates axis labels to 12 chars, but hover tooltips show the\r\n * full relabeled text.\r\n * @param {Array<Object>} matrix - Row objects: { label, <pgsId>: value, ... }\r\n * @param {Object<string,string>} traitMap - { pgsId -> trait }\r\n * @returns {Array<Object>} New rows with trait-augmented column keys.\r\n */\r\nfunction relabelPgsColumns(matrix, traitMap) {\r\n  if (!Array.isArray(matrix) || !traitMap) return matrix;\r\n  return matrix.map(row => {\r\n    const out = {};\r\n    for (const key of Object.keys(row)) {\r\n      if (key === 'label') { out.label = row.label; continue; }\r\n      const trait = traitMap[key];\r\n      out[trait ? `${key} — ${trait}` : key] = row[key];\r\n    }\r\n    return out;\r\n  });\r\n}\r\n\r\n/**\r\n * Get unique PGS IDs from prsResults\r\n */\r\nfunction getUniquePgsIds(rawResults) {\r\n  if (!Array.isArray(rawResults)) return [];\r\n  const ids = new Set();\r\n  for (const r of rawResults) {\r\n    if (r.pgsId) ids.add(r.pgsId);\r\n  }\r\n  return Array.from(ids);\r\n}\r\n\r\n/**\r\n * Get unique user IDs from prsResults\r\n */\r\nfunction getUniqueUserIds(rawResults) {\r\n  if (!Array.isArray(rawResults)) return [];\r\n  const users = new Map();\r\n  for (const r of rawResults) {\r\n    if (r.userId && !users.has(r.userId)) {\r\n      users.set(r.userId, r.userName ?? r.userId);\r\n    }\r\n  }\r\n  return Array.from(users.entries()).map(([id, name]) => ({ id, name }));\r\n}\r\n\r\n/**\r\n * Serialise a hclust_plot matrix (array of row-objects with a `label` key) to CSV\r\n * and trigger a browser download.\r\n * @param {Array<Object>} matrix - e.g. [{label:'user1', PGS000001: 0.2, ...}, ...]\r\n * @param {string} filename     - suggested download filename\r\n */\r\nfunction downloadMatrixAsCsv(matrix, filename = 'matrix.csv') {\r\n  if (!Array.isArray(matrix) || matrix.length === 0) return;\r\n  const csv = matrixToCsvString(matrix);\r\n  const blob = new Blob([csv], { type: 'text/csv' });\r\n  const url  = URL.createObjectURL(blob);\r\n  const a    = document.createElement('a');\r\n  a.href = url; a.download = filename; a.click();\r\n  URL.revokeObjectURL(url);\r\n}\r\n\r\n/**\r\n * Serialise a hclust_plot matrix (array of row-objects with a `label` key) to a CSV string.\r\n * @param {Array<Object>} matrix - e.g. [{label:'user1', PGS000001: 0.2, ...}, ...]\r\n * @returns {string} CSV text (header row + data rows)\r\n */\r\nfunction matrixToCsvString(matrix) {\r\n  if (!Array.isArray(matrix) || matrix.length === 0) return '';\r\n  const cols = Object.keys(matrix[0]).filter(k => k !== 'label');\r\n  const header = ['label', ...cols].join(',');\r\n  const rows = matrix.map(row =>\r\n    [row.label, ...cols.map(c => row[c] ?? '')].join(',')\r\n  );\r\n  return [header, ...rows].join('\\n');\r\n}\r\n\r\n// --- WebR (R compiled to WebAssembly) in-browser runner ---\r\nconst WEBR_BASE_URL = 'https://webr.r-wasm.org/latest/';\r\nconst WEBR_MATRIX_PATH = '/home/web_user/prs_matrix.csv';\r\nlet _webRPromise = null;\r\n// Persist the WebR runner UI across renderCluster() rebuilds so clicking a\r\n// clustering parameter for the first plot doesn't wipe the R output/code.\r\nlet _webRState = { code: null, plotsHTML: '', consoleHTML: '', consoleVisible: false, status: '', expanded: false };\r\n\r\n/** Default R snippet shown in the runner; reads the PRS matrix preloaded into WebR's FS. */\r\nconst WEBR_DEFAULT_CODE = `library(pheatmap)\r\n\r\n# The current PRS matrix is preloaded into WebR at the path below.\r\nprs <- read.csv(\"${WEBR_MATRIX_PATH}\", check.names = FALSE)\r\nrownames(prs) <- prs$label\r\nprs_matrix <- as.matrix(prs[, -1])\r\n\r\n# Z-score each PGS across users\r\nprs_scaled <- scale(prs_matrix)\r\n\r\n# Distance + hierarchical clustering of users\r\nuser_dist <- dist(prs_scaled, method = \"euclidean\")\r\nuser_hclust <- hclust(user_dist, method = \"complete\")\r\n\r\n# Heatmap with row + column clustering\r\npheatmap(prs_scaled,\r\n         cluster_rows = user_hclust,\r\n         cluster_cols = TRUE,\r\n         clustering_distance_cols = \"euclidean\",\r\n         clustering_method = \"complete\",\r\n         treeheight_row = 120,\r\n         treeheight_col = 120,\r\n         fontsize = 12,\r\n         main = \"PRS Hierarchical Clustering\",\r\n         border_color = NA)`;\r\n\r\n/**\r\n * Lazily load and initialise WebR (base R + pheatmap). Cached across runs so the\r\n * multi-MB runtime and package install only happen once per session.\r\n * @param {HTMLElement} [statusEl] - optional element for progress messages\r\n * @returns {Promise<Object>} the initialised WebR instance\r\n */\r\nfunction getWebR(statusEl) {\r\n  if (_webRPromise) return _webRPromise;\r\n  _webRPromise = (async () => {\r\n    if (statusEl) statusEl.textContent = 'Loading WebR runtime (first run downloads ~R core)…';\r\n    const { WebR, ChannelType } = await import('https://webr.r-wasm.org/latest/webr.mjs');\r\n    // SharedArrayBuffer needs cross-origin isolation (COOP/COEP), which GitHub\r\n    // Pages doesn't set — fall back to the PostMessage channel when not isolated.\r\n    const channelType = globalThis.crossOriginIsolated\r\n      ? (ChannelType?.Automatic ?? 0)\r\n      : (ChannelType?.PostMessage ?? 3);\r\n    const webR = new WebR({ baseUrl: WEBR_BASE_URL, channelType });\r\n    await webR.init();\r\n    if (statusEl) statusEl.textContent = 'Installing pheatmap…';\r\n    await webR.installPackages(['pheatmap']);\r\n    return webR;\r\n  })();\r\n  // If init fails, clear the cache so a later click can retry.\r\n  _webRPromise.catch(() => { _webRPromise = null; });\r\n  return _webRPromise;\r\n}\r\n\r\n/**\r\n * Run the R code from the tab-5 editor in WebR: write the current PRS matrix to\r\n * the virtual filesystem, capture text output, and render any plots inline.\r\n */\r\nasync function runRCodeInWebR() {\r\n  const statusEl = document.getElementById('webRStatus');\r\n  const consoleEl = document.getElementById('webRConsole');\r\n  const plotsEl = document.getElementById('webRPlots');\r\n  const btn = document.getElementById('runRWebRBtn');\r\n  const code = document.getElementById('webRCode')?.value ?? '';\r\n\r\n  const data = clusterCache.pivoted ?? pivotPrsResults(window.prsResults);\r\n  if (!data) { alert('No PRS matrix available. Run a PRS calculation first.'); return; }\r\n\r\n  if (btn) btn.disabled = true;\r\n  if (plotsEl) plotsEl.innerHTML = '';\r\n  if (consoleEl) { consoleEl.style.display = 'none'; consoleEl.textContent = ''; }\r\n\r\n  let shelter;\r\n  try {\r\n    const webR = await getWebR(statusEl);\r\n    if (statusEl) statusEl.textContent = 'Writing PRS matrix…';\r\n    const csv = matrixToCsvString(data);\r\n    await webR.FS.writeFile(WEBR_MATRIX_PATH, new TextEncoder().encode(csv));\r\n\r\n    if (statusEl) statusEl.textContent = 'Running R…';\r\n    shelter = await new webR.Shelter();\r\n    const result = await shelter.captureR(code, {\r\n      withAutoprint: true,\r\n      captureStreams: true,\r\n      captureConditions: false,\r\n      captureGraphics: { width: 720, height: 720, pointsize: 18 },\r\n    });\r\n\r\n    const text = (result.output ?? [])\r\n      .filter(o => o.type === 'stdout' || o.type === 'stderr')\r\n      .map(o => o.data)\r\n      .join('\\n');\r\n    if (consoleEl && text.trim()) {\r\n      consoleEl.textContent = text;\r\n      consoleEl.style.display = 'block';\r\n    }\r\n\r\n    const images = result.images ?? [];\r\n    for (const img of images) {\r\n      const canvas = document.createElement('canvas');\r\n      canvas.width = img.width;\r\n      canvas.height = img.height;\r\n      canvas.getContext('2d').drawImage(img, 0, 0);\r\n      // Use an <img> (data URL) rather than a live canvas so the plot survives\r\n      // renderCluster() rebuilds via innerHTML restoration.\r\n      const image = document.createElement('img');\r\n      image.src = canvas.toDataURL('image/png');\r\n      image.alt = 'R plot output';\r\n      image.className = 'img-fluid rounded border shadow-sm d-block mb-2';\r\n      image.style.maxWidth = '640px';\r\n      if (plotsEl) plotsEl.appendChild(image);\r\n    }\r\n    if (statusEl) statusEl.textContent = `Done — ${images.length} plot(s) rendered.`;\r\n  } catch (err) {\r\n    console.error('[WebR] run error:', err);\r\n    if (statusEl) statusEl.textContent = 'Error running R (see below).';\r\n    if (consoleEl) {\r\n      consoleEl.textContent = String(err?.message ?? err);\r\n      consoleEl.style.display = 'block';\r\n    }\r\n  } finally {\r\n    if (shelter) { try { await shelter.purge(); } catch { /* ignore */ } }\r\n    if (btn) btn.disabled = false;\r\n    // Save the output so it can be restored after a renderCluster() rebuild.\r\n    _webRState.plotsHTML = plotsEl ? plotsEl.innerHTML : '';\r\n    _webRState.consoleHTML = consoleEl ? consoleEl.textContent : '';\r\n    _webRState.consoleVisible = !!(consoleEl && consoleEl.style.display !== 'none');\r\n    _webRState.status = statusEl ? statusEl.textContent : '';\r\n  }\r\n}\r\n\r\n\r\n/** Read the current clustering options (with defaults) from window.clusterOptions. */\r\nfunction getClusterOptions() {\r\n  // Clamp row/column clustering when the matrix is too small: a dendrogram over\r\n  // a single row/column is degenerate, and pairwise distances need at least 2\r\n  // jointly observed values, so either axis requires at least a 2 × 2 matrix.\r\n  // The stored preference is kept, so the option springs back when more data is\r\n  // loaded. Unknown counts (cache not built yet) do not clamp.\r\n  const userCount = clusterCache.userIds ? clusterCache.userIds.length : null;\r\n  const modelCount = clusterCache.pgsIds ? clusterCache.pgsIds.length : null;\r\n  const enoughUsers = userCount === null || userCount >= 2;\r\n  const enoughModels = modelCount === null || modelCount >= 2;\r\n  const canCluster = enoughUsers && enoughModels;\r\n  return {\r\n    clusterRows: (window.clusterOptions?.clusterRows ?? true) && canCluster,\r\n    clusterCols: (window.clusterOptions?.clusterCols ?? true) && canCluster,\r\n    canClusterRows: canCluster,\r\n    canClusterCols: canCluster,\r\n    enoughUsers,\r\n    enoughModels,\r\n    clusterMethod: window.clusterOptions?.clusterMethod ?? 'complete',\r\n    clusterDistance: window.clusterOptions?.clusterDistance ?? 'euclidean',\r\n    normalize: window.clusterOptions?.normalize ?? true,\r\n    plotSize: window.clusterOptions?.plotSize ?? 'default', // 'fit' | 'default' (80%) | 'full' (100%)\r\n  };\r\n}\r\n\r\n/**\r\n * Sync the option buttons and legend caption with window.clusterOptions in\r\n * place, so option clicks don't need to rebuild the whole panel.\r\n */\r\nfunction updateClusterControlStates() {\r\n  const { clusterRows, clusterCols, canClusterRows, canClusterCols, enoughUsers, enoughModels, clusterMethod, clusterDistance, normalize, plotSize } = getClusterOptions();\r\n  const setActive = (id, active) => {\r\n    const btn = document.getElementById(id);\r\n    if (!btn) return;\r\n    btn.classList.toggle('active', active);\r\n    btn.setAttribute('aria-pressed', String(active));\r\n  };\r\n  setActive('clusterRowsBtn', clusterRows);\r\n  setActive('clusterColsBtn', clusterCols);\r\n  setActive('clusterMethodComplete', clusterMethod === 'complete');\r\n  setActive('clusterMethodSingle', clusterMethod === 'single');\r\n  setActive('clusterMethodAverage', clusterMethod === 'average');\r\n  setActive('clusterMethodWard', clusterMethod === 'ward');\r\n  setActive('clusterDistEuclidean', clusterDistance === 'euclidean');\r\n  setActive('clusterDistManhattan', clusterDistance === 'manhattan');\r\n  setActive('clusterDistCosine', clusterDistance === 'cosine');\r\n  setActive('clusterScaleRaw', !normalize);\r\n  setActive('clusterScaleZ', normalize);\r\n  setActive('clusterSizeFit', plotSize === 'fit');\r\n  setActive('clusterSizeDefault', plotSize === 'default');\r\n  setActive('clusterSizeFull', plotSize === 'full');\r\n\r\n  // Small-matrix guard: disable degenerate clustering and explain why inline\r\n  // (title tooltips are invisible on touch devices).\r\n  const rowsBtn = document.getElementById('clusterRowsBtn');\r\n  if (rowsBtn) {\r\n    rowsBtn.disabled = !canClusterRows;\r\n    rowsBtn.title = canClusterRows ? 'Reorder users so similar ones sit next to each other.' : MIN_MATRIX_TITLE;\r\n  }\r\n  const colsBtn = document.getElementById('clusterColsBtn');\r\n  if (colsBtn) {\r\n    colsBtn.disabled = !canClusterCols;\r\n    colsBtn.title = canClusterCols ? 'Reorder models so similar ones sit next to each other.' : MIN_MATRIX_TITLE;\r\n  }\r\n  const clusterByHint = document.getElementById('clusterByHint');\r\n  if (clusterByHint) {\r\n    const hint = !enoughUsers && !enoughModels\r\n      ? 'Clustering needs at least 2 users and 2 models — load more genomes (tab 1) and risk models (tab 2).'\r\n      : !enoughUsers\r\n        ? 'Only one user loaded — clustering needs at least a 2 × 2 matrix. Load at least 2 genomes (tab 1).'\r\n        : !enoughModels\r\n          ? 'Only one model loaded — clustering needs at least a 2 × 2 matrix. Select at least 2 risk models (tab 2).'\r\n          : '';\r\n    clusterByHint.textContent = hint;\r\n    clusterByHint.style.display = hint ? '' : 'none';\r\n  }\r\n\r\n  const wardActive = clusterMethod === 'ward';\r\n  const nonEuclidean = clusterDistance !== 'euclidean';\r\n  const wardBtn = document.getElementById('clusterMethodWard');\r\n  if (wardBtn) {\r\n    wardBtn.disabled = nonEuclidean;\r\n    wardBtn.title = nonEuclidean ? WARD_TITLE : 'Ward (ward.D2) minimum-variance linkage — Euclidean only.';\r\n  }\r\n  const distTitles = { clusterDistManhattan: 'Manhattan (city-block) distance.', clusterDistCosine: 'Cosine distance.' };\r\n  for (const [id, title] of Object.entries(distTitles)) {\r\n    const btn = document.getElementById(id);\r\n    if (!btn) continue;\r\n    btn.disabled = wardActive;\r\n    btn.title = wardActive ? NON_EUCLIDEAN_TITLE : title;\r\n  }\r\n\r\n  const caption = document.getElementById('clusterLegendCaption');\r\n  if (caption) caption.textContent = `Heatmap color = ${normalize ? 'z-score of PRS (standardized per PGS column)' : 'raw PRS value'} · gray = missing · drag to zoom — “Reset zoom” restores the full view.`;\r\n\r\n  // Inline hint under the distance group explaining why buttons are disabled\r\n  // (title tooltips are invisible on touch devices).\r\n  const distHint = document.getElementById('clusterDistanceHint');\r\n  if (distHint) {\r\n    distHint.textContent = wardActive\r\n      ? 'Manhattan and cosine are disabled while Ward linkage is selected — Ward requires Euclidean distance.'\r\n      : nonEuclidean\r\n        ? 'Ward linkage is unavailable with Manhattan/cosine distance — it requires Euclidean.'\r\n        : 'Single, complete, and average linkage work with any distance. Ward (ward.D2) is restricted to Euclidean, where its minimum-variance interpretation holds.';\r\n  }\r\n}\r\n\r\n/** Show a translucent spinner overlay on the plot box while it re-renders. */\r\nfunction showPlotOverlay() {\r\n  const box = document.getElementById('clusterPlotBox');\r\n  if (!box || box.querySelector('.cluster-plot-overlay')) return;\r\n  const overlay = document.createElement('div');\r\n  overlay.className = 'cluster-plot-overlay d-flex align-items-center justify-content-center';\r\n  overlay.style.cssText = 'position:absolute; inset:0; background:rgba(255,255,255,0.6); z-index:5;';\r\n  overlay.innerHTML = '<div class=\"spinner-border text-primary\" role=\"status\"><span class=\"visually-hidden\">Re-rendering…</span></div>';\r\n  box.appendChild(overlay);\r\n}\r\n\r\nfunction hidePlotOverlay() {\r\n  document.querySelector('#clusterPlotBox .cluster-plot-overlay')?.remove();\r\n}\r\n\r\n/**\r\n * Queue a plot-only re-render. The previous plot stays visible under an\r\n * overlay spinner; superseded clicks are skipped via the token and renders are\r\n * serialized via the queue so hclust_plot calls never overlap.\r\n */\r\nfunction schedulePlotRender() {\r\n  const token = ++_plotToken;\r\n  showPlotOverlay();\r\n  _plotQueue = _plotQueue\r\n    .then(async () => {\r\n      if (token !== _plotToken) return; // superseded by a newer option click\r\n      await drawClusterPlot();\r\n    })\r\n    .catch(e => console.error('[PRS Clustering] plot render error:', e))\r\n    .finally(() => { if (token === _plotToken) hidePlotOverlay(); });\r\n}\r\n\r\n/**\r\n * Draw (or redraw) only the heatmap/dendrogram using the cached matrix and the\r\n * current window.clusterOptions, leaving controls, downloads, and the WebR\r\n * card untouched.\r\n */\r\nasync function drawClusterPlot() {\r\n  const pivoted = clusterCache.pivoted;\r\n  if (!pivoted || !document.getElementById('clusterPlotMount')) return;\r\n  const pgsIds = clusterCache.pgsIds ?? getUniquePgsIds(window.prsResults);\r\n  const { clusterRows, clusterCols, clusterMethod, clusterDistance, normalize, plotSize } = getClusterOptions();\r\n\r\n  // ClustJS validates pairwise distances even when both cluster toggles are\r\n  // off, and any axis pair needs at least 2 jointly observed values — so a\r\n  // heatmap requires at least a 2 × 2 matrix. Show guidance instead of a\r\n  // console error for degenerate matrices.\r\n  const matrixCols = Object.keys(pivoted[0]).length - 1;\r\n  if (pivoted.length < 2 || matrixCols < 2) {\r\n    const mount = document.getElementById('clusterPlotMount');\r\n    mount.innerHTML = `<div class=\"alert alert-info my-2\" style=\"max-width:680px;\">\r\n      <strong>Not enough data for a heatmap.</strong><br>\r\n      The clustering heatmap needs at least 2 users and 2 models with PRS results —\r\n      currently ${pivoted.length} user${pivoted.length === 1 ? '' : 's'} × ${matrixCols} model${matrixCols === 1 ? '' : 's'}.\r\n      Load more genomes (tab 1) or risk models (tab 2), recalculate PRS, and return here.\r\n      The PRS matrix can still be downloaded below.\r\n    </div>`;\r\n    const plotBox = document.getElementById('clusterPlotBox');\r\n    if (plotBox) plotBox.style.minHeight = '0';\r\n    return;\r\n  }\r\n\r\n  // Apply per-PGS z-score standardization when the Z-score scale is selected.\r\n  const plotData = normalize ? standardizePivot(pivoted, pgsIds) : pivoted;\r\n\r\n  // Append the reported trait to each PGS column label (plot only; downloads\r\n  // keep raw PGS ids). Full label shows on hover; axis text is capped at 12 chars.\r\n  const plotDataLabeled = relabelPgsColumns(plotData, getPgsTraitMap(window.prsResults));\r\n\r\n  // Grow the canvas with the matrix so dendrograms and axis labels have room\r\n  // and aren't clipped at the plot edges, while keeping a roughly square aspect.\r\n  const colCount = Object.keys(pivoted[0]).length - 1;\r\n  const fullWidth = Math.max(900, 120 * colCount + 400);\r\n  const fullHeight = Math.max(760, 46 * pivoted.length + 320);\r\n  // Render the plot at the selected size preset while keeping the reserved\r\n  // area (box) unchanged: 'fit' shrinks to the visible width (no horizontal\r\n  // scrolling), 'default' is 80%, 'full' is 100%.\r\n  let plotScale;\r\n  if (plotSize === 'fit') {\r\n    const avail = document.getElementById('clusterPlotScroll')?.clientWidth || fullWidth;\r\n    plotScale = Math.max(0.3, Math.min(1, avail / fullWidth));\r\n  } else if (plotSize === 'full') {\r\n    plotScale = 1;\r\n  } else {\r\n    plotScale = 0.8;\r\n  }\r\n  const plotWidth = Math.round(fullWidth * plotScale);\r\n  const plotHeight = Math.round(fullHeight * plotScale);\r\n\r\n  // Bound the scroll area to the drawn plot so wide/tall matrices scroll inside\r\n  // the box without leaving blank space underneath.\r\n  const plotBox = document.getElementById('clusterPlotBox');\r\n  if (plotBox) plotBox.style.minHeight = plotHeight + 'px';\r\n  const plotScroll = document.getElementById('clusterPlotScroll');\r\n  if (plotScroll) plotScroll.style.maxHeight = plotHeight + 'px';\r\n\r\n  try {\r\n    await hclust_plot({\r\n      divId: \"clusterPlotMount\",\r\n      data: plotDataLabeled,\r\n      width: plotWidth,\r\n      height: plotHeight,\r\n      marginBottom: 180,\r\n      // Pull the color legend + \"Missing\" swatch left so they aren't clipped at\r\n      // the right edge. hclust_plot auto-computes the right margin (marginRight\r\n      // is ignored), so legendOffsetX is the lever for legend position.\r\n      legendOffsetX: 38,\r\n      clusterRows: clusterRows,\r\n      clusterCols: clusterCols,\r\n      clusteringMethodRows: clusterMethod,\r\n      clusteringMethodCols: clusterMethod,\r\n      clusteringDistanceRows: clusterDistance,\r\n      clusteringDistanceCols: clusterDistance\r\n    });\r\n  } catch (e) { console.error('[PRS Clustering] hclust_plot error:', e); }\r\n\r\n  // The remote ClustJS SDK appends the row index to each user label to keep\r\n  // axis labels unique (e.g. \"v5 Cajun\" is rendered as \"v5 Cajun1\"), which\r\n  // reads like part of the name. Rewrite exact \"<label><index>\" matches in the\r\n  // rendered SVG back to the clean label.\r\n  try {\r\n    const labels = plotDataLabeled.map(r => r.label);\r\n    document.querySelectorAll('#clusterPlotMount svg text').forEach(t => {\r\n      const raw = (t.textContent ?? '').trim();\r\n      for (let i = 0; i < labels.length; i++) {\r\n        if (raw === `${labels[i]}${i}`) { t.textContent = labels[i]; break; }\r\n      }\r\n    });\r\n  } catch (e) { console.warn('[PRS Clustering] label cleanup skipped:', e); }\r\n}\r\n\r\nasync function renderCluster() {\r\n  const clusterContainer = document.getElementById(clusterContainerId);\r\n  if (!clusterContainer) return;\r\n\r\n  // Check cache validity\r\n  const currentHash = hashPrsResults(window.prsResults);\r\n  const cacheValid = isCacheValid(currentHash);\r\n\r\n  // Show loading state immediately if we need to compute (not cached)\r\n  const needsCompute = !cacheValid || !clusterCache.pivoted;\r\n  if (needsCompute) {\r\n    clusterContainer.innerHTML = `\r\n      <div class=\"d-flex flex-column align-items-center justify-content-center py-5\">\r\n        <div class=\"spinner-border text-primary mb-3\" role=\"status\" style=\"width: 3rem; height: 3rem;\">\r\n          <span class=\"visually-hidden\">Loading...</span>\r\n        </div>\r\n        <p class=\"text-muted loading-message\">Loading cluster analysis...</p>\r\n      </div>\r\n    `;\r\n    // Allow the loading UI to render before heavy computation.\r\n    // Note: setTimeout (not requestAnimationFrame) — rAF never fires while the\r\n    // browser tab is hidden, which would leave the spinner stuck until the user\r\n    // returns to the tab.\r\n    await new Promise(resolve => setTimeout(resolve, 30));\r\n  }\r\n\r\n  // Use cached or compute fresh data\r\n  let pivoted, pgsIds, userIds;\r\n  if (cacheValid && clusterCache.pivoted) {\r\n    pivoted = clusterCache.pivoted;\r\n    pgsIds = clusterCache.pgsIds;\r\n    userIds = clusterCache.userIds;\r\n  } else {\r\n    pivoted = pivotPrsResults(window.prsResults);\r\n    pgsIds = getUniquePgsIds(window.prsResults);\r\n    userIds = getUniqueUserIds(window.prsResults);\r\n    // Update cache\r\n    clusterCache.prsResultsHash = currentHash;\r\n    clusterCache.pivoted = pivoted;\r\n    clusterCache.pgsIds = pgsIds;\r\n    clusterCache.userIds = userIds;\r\n  }\r\n\r\n  // Show message if no PRS results available\r\n  if (pivoted === null) {\r\n    clusterContainer.innerHTML = `<div class=\"alert alert-info\">\r\n        <strong>No PRS results available.</strong><br>\r\n        Please go to the <strong>Calculate PRS</strong> tab first and run a PRS calculation. <a href=\"#\" onclick=\"document.querySelector('.tablinks[onclick*=PRS]').click(); return false;\">Go to Calculate PRS →</a>\r\n    </div>`;\r\n    return;\r\n  }\r\n\r\n  // Get current clustering options (preserve state across re-renders)\r\n  const { clusterRows, clusterCols, canClusterRows, canClusterCols, clusterMethod, clusterDistance, normalize, plotSize } = getClusterOptions();\r\n\r\n  // Ward linkage minimizes the increase in within-cluster sum of squared deviations\r\n  // and only retains its minimum-variance interpretation (R's hclust ward.D2) under\r\n  // Euclidean distance. So Ward is only offered with Euclidean, and Manhattan/cosine\r\n  // are disabled while Ward is active. Single/complete/average work on any supplied\r\n  // dissimilarity matrix and stay available for all three distances.\r\n  const wardActive = clusterMethod === 'ward';\r\n  const nonEuclidean = clusterDistance !== 'euclidean';\r\n  const wardTitle = WARD_TITLE;\r\n  const nonEuclideanTitle = NON_EUCLIDEAN_TITLE;\r\n  const traitCount = new Set(Object.values(getPgsTraitMap(window.prsResults))).size;\r\n\r\n  clusterContainer.innerHTML = `\r\n    <div id=\"clusterSectionA\">\r\n    <div class=\"d-flex align-items-baseline flex-wrap gap-2 mb-2\">\r\n      <span class=\"badge bg-light text-dark border\">${pivoted.length} users</span>\r\n      <span class=\"badge bg-light text-dark border\">${Object.keys(pivoted[0]).length - 1} PGS models</span>\r\n      ${traitCount > 0 ? `<span class=\"badge bg-light text-dark border\">${traitCount} trait${traitCount === 1 ? '' : 's'}</span>` : ''}\r\n    </div>\r\n\r\n    <div class=\"card mb-3\">\r\n      <div class=\"card-body py-3\">\r\n        <div class=\"d-flex flex-wrap align-items-start cluster-toolbar\">\r\n          <div>\r\n            <div class=\"ctl-label\">Cluster by</div>\r\n            <div class=\"seg-group\" role=\"group\" aria-label=\"Cluster by\">\r\n              <button id=\"clusterRowsBtn\" class=\"seg-btn ${clusterRows ? 'active' : ''}\" aria-pressed=\"${clusterRows}\" ${canClusterRows ? '' : 'disabled'} title=\"${canClusterRows ? 'Reorder users so similar ones sit next to each other.' : MIN_MATRIX_TITLE}\">Users</button>\r\n              <button id=\"clusterColsBtn\" class=\"seg-btn ${clusterCols ? 'active' : ''}\" aria-pressed=\"${clusterCols}\" ${canClusterCols ? '' : 'disabled'} title=\"${canClusterCols ? 'Reorder models so similar ones sit next to each other.' : MIN_MATRIX_TITLE}\">Models</button>\r\n            </div>\r\n          </div>\r\n          <div>\r\n            <div class=\"ctl-label\">Linkage</div>\r\n            <div class=\"seg-group\" role=\"group\" aria-label=\"Linkage\">\r\n              <button id=\"clusterMethodComplete\" class=\"seg-btn ${clusterMethod === 'complete' ? 'active' : ''}\" aria-pressed=\"${clusterMethod === 'complete'}\">Complete</button>\r\n              <button id=\"clusterMethodSingle\" class=\"seg-btn ${clusterMethod === 'single' ? 'active' : ''}\" aria-pressed=\"${clusterMethod === 'single'}\">Single</button>\r\n              <button id=\"clusterMethodAverage\" class=\"seg-btn ${clusterMethod === 'average' ? 'active' : ''}\" aria-pressed=\"${clusterMethod === 'average'}\">Average</button>\r\n              <button id=\"clusterMethodWard\" class=\"seg-btn ${clusterMethod === 'ward' ? 'active' : ''}\" aria-pressed=\"${clusterMethod === 'ward'}\" ${nonEuclidean ? 'disabled' : ''} title=\"${nonEuclidean ? wardTitle : 'Ward (ward.D2) minimum-variance linkage — Euclidean only.'}\">Ward</button>\r\n            </div>\r\n          </div>\r\n          <div>\r\n            <div class=\"ctl-label\">Distance</div>\r\n            <div class=\"seg-group\" role=\"group\" aria-label=\"Distance\">\r\n              <button id=\"clusterDistEuclidean\" class=\"seg-btn ${clusterDistance === 'euclidean' ? 'active' : ''}\" aria-pressed=\"${clusterDistance === 'euclidean'}\">Euclidean</button>\r\n              <button id=\"clusterDistManhattan\" class=\"seg-btn ${clusterDistance === 'manhattan' ? 'active' : ''}\" aria-pressed=\"${clusterDistance === 'manhattan'}\" ${wardActive ? 'disabled' : ''} title=\"${wardActive ? nonEuclideanTitle : 'Manhattan (city-block) distance.'}\">Manhattan</button>\r\n              <button id=\"clusterDistCosine\" class=\"seg-btn ${clusterDistance === 'cosine' ? 'active' : ''}\" aria-pressed=\"${clusterDistance === 'cosine'}\" ${wardActive ? 'disabled' : ''} title=\"${wardActive ? nonEuclideanTitle : 'Cosine distance.'}\">Cosine</button>\r\n            </div>\r\n          </div>\r\n          <div>\r\n            <div class=\"ctl-label\">Scale</div>\r\n            <div class=\"seg-group\" role=\"group\" aria-label=\"Scale\">\r\n              <button id=\"clusterScaleRaw\" class=\"seg-btn ${!normalize ? 'active' : ''}\" aria-pressed=\"${!normalize}\" title=\"Use PRS values exactly as calculated.\">Raw PRS</button>\r\n              <button id=\"clusterScaleZ\" class=\"seg-btn ${normalize ? 'active' : ''}\" aria-pressed=\"${normalize}\" title=\"Standardize each PGS column so no single model dominates by scale.\">Z-score</button>\r\n            </div>\r\n          </div>\r\n        </div>\r\n        <div class=\"form-text small mt-2 mb-0\" id=\"clusterByHint\" style=\"display:none;\"></div>\r\n        <div class=\"form-text small mt-2 mb-0\" id=\"clusterDistanceHint\">Single, complete, and average linkage work with any distance. Ward (ward.D2) is restricted to Euclidean, where its minimum-variance interpretation holds.</div>\r\n      </div>\r\n    </div>\r\n\r\n    <div class=\"d-flex align-items-center flex-wrap gap-2 mb-1\">\r\n      <span id=\"clusterLegendCaption\" class=\"small text-muted\">Heatmap color = ${normalize ? 'z-score of PRS (standardized per PGS column)' : 'raw PRS value'} · gray = missing · drag to zoom — “Reset zoom” restores the full view.</span>\r\n      <div class=\"ms-auto d-flex align-items-center gap-2\">\r\n        <div class=\"seg-group\" role=\"group\" aria-label=\"Plot size\">\r\n          <button id=\"clusterSizeFit\" class=\"seg-btn ${plotSize === 'fit' ? 'active' : ''}\" aria-pressed=\"${plotSize === 'fit'}\" title=\"Shrink the plot to the visible width (no horizontal scrolling).\">Fit width</button>\r\n          <button id=\"clusterSizeDefault\" class=\"seg-btn ${plotSize === 'default' ? 'active' : ''}\" aria-pressed=\"${plotSize === 'default'}\">80%</button>\r\n          <button id=\"clusterSizeFull\" class=\"seg-btn ${plotSize === 'full' ? 'active' : ''}\" aria-pressed=\"${plotSize === 'full'}\">100%</button>\r\n        </div>\r\n        <button id=\"downloadHeatmapPngBtn\" class=\"btn btn-outline-secondary btn-sm\" title=\"Download the rendered heatmap as a PNG image.\"><i class=\"fa fa-download me-1\" aria-hidden=\"true\"></i>PNG</button>\r\n      </div>\r\n    </div>\r\n    <div id=\"clusterPlotBox\" style=\"position:relative; min-height:200px;\">\r\n      <div id=\"clusterPlotScroll\" style=\"overflow:auto; max-width:100%;\">\r\n        <div id=\"clusterPlotMount\"></div>\r\n      </div>\r\n    </div>\r\n\r\n    <div class=\"card mb-3 mt-3\">\r\n      <div class=\"card-header bg-white py-2\">\r\n        <span class=\"fw-semibold small text-uppercase text-muted\">Downloads</span>\r\n      </div>\r\n      <div class=\"card-body py-3\">\r\n        <div class=\"d-flex flex-wrap align-items-center gap-2\">\r\n          <button id=\"downloadPrsMatrixBtn\" class=\"btn btn-outline-secondary btn-sm\"><i class=\"fa fa-download me-1\" aria-hidden=\"true\"></i>Matrix JSON</button>\r\n          <button id=\"downloadPrsCsvBtn\" class=\"btn btn-outline-secondary btn-sm\"><i class=\"fa fa-download me-1\" aria-hidden=\"true\"></i>Matrix CSV</button>\r\n        </div>\r\n        <div class=\"form-text small mt-2\">\r\n          JSON and CSV use the ClustJS-compatible format: one row object per user with a <code>label</code> field and one field per PGS ID. The rendered heatmap can be downloaded as PNG from the button above the plot.\r\n        </div>\r\n      </div>\r\n    </div>\r\n\r\n    <div class=\"card mb-3\">\r\n      <div class=\"card-header bg-white py-2 d-flex align-items-center justify-content-between flex-wrap gap-2\">\r\n        <button id=\"webRCardToggle\" type=\"button\" class=\"btn btn-link btn-sm p-0 text-decoration-none fw-semibold small text-uppercase text-muted\" aria-expanded=\"${_webRState.expanded}\" aria-controls=\"webRCardBody\">\r\n          <i id=\"webRCardChevron\" class=\"fa fa-caret-${_webRState.expanded ? 'down' : 'right'} me-1\" aria-hidden=\"true\"></i>Reproduce in R &mdash; pheatmap\r\n        </button>\r\n        <div class=\"d-flex align-items-center gap-2\">\r\n          <button id=\"runRWebRBtn\" class=\"btn btn-success btn-sm\"><i class=\"fa fa-play me-1\" aria-hidden=\"true\"></i>Run in browser</button>\r\n          <button id=\"resetRCodeBtn\" class=\"btn btn-outline-secondary btn-sm\"><i class=\"fa fa-undo me-1\" aria-hidden=\"true\"></i>Reset code</button>\r\n        </div>\r\n      </div>\r\n      <div id=\"webRCardBody\" class=\"${_webRState.expanded ? '' : 'd-none'}\">\r\n      <div class=\"card-body py-3\">\r\n        <p class=\"text-muted small mb-2\">\r\n          Runs R directly in your browser via <a href=\"https://docs.r-wasm.org/webr/latest/\" target=\"_blank\" rel=\"noopener\">WebR</a> &mdash; nothing to install.\r\n          Your current PRS matrix is already loaded at <code>${WEBR_MATRIX_PATH}</code>, so the code below works as-is.\r\n          The first run downloads the R runtime and <code>pheatmap</code> and may take a moment; later runs are fast.\r\n        </p>\r\n        <div id=\"webRStatus\" class=\"small text-muted mb-2\"></div>\r\n        <label for=\"webRCode\" class=\"form-label small text-uppercase text-muted fw-bold mb-1\">R code &mdash; editable</label>\r\n        <textarea id=\"webRCode\" class=\"form-control form-control-sm bg-light\" spellcheck=\"false\" style=\"font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace; font-size:0.8rem; line-height:1.5; white-space:pre; min-height:260px;\"></textarea>\r\n        <div id=\"webRPlots\" class=\"mt-3\"></div>\r\n        <pre id=\"webRConsole\" class=\"small bg-dark text-light rounded p-2 mt-3 mb-0\" style=\"max-height:240px; overflow:auto; display:none;\"></pre>\r\n        <details class=\"mt-3\">\r\n          <summary class=\"small text-muted\" style=\"cursor:pointer;\">Run this in a local R / RStudio session instead</summary>\r\n          <p class=\"text-muted small mt-2 mb-1\">Download the CSV above, point <code>read.csv()</code> at it, and run:</p>\r\n          <div class=\"d-flex justify-content-end mb-1\">\r\n            <button id=\"copyRCodeBtn\" class=\"btn btn-outline-secondary btn-sm btn-cache\"><i class=\"fa fa-clipboard me-1\" aria-hidden=\"true\"></i>Copy</button>\r\n          </div>\r\n          <pre id=\"rCodeBlock\" class=\"small bg-light border rounded p-2 mb-0\" style=\"white-space:pre; overflow:auto;\"><code>library(pheatmap)\r\n\r\n# The current PRS matrix is preloaded into WebR at the path below.\r\nprs <- read.csv(\"${WEBR_MATRIX_PATH}\", check.names = FALSE)\r\nrownames(prs) <- prs$label\r\nprs_matrix <- as.matrix(prs[, -1])\r\n\r\n# Z-score each PGS across users\r\nprs_scaled <- scale(prs_matrix)\r\n\r\n# Distance + hierarchical clustering of users\r\nuser_dist <- dist(prs_scaled, method = \"euclidean\")\r\nuser_hclust <- hclust(user_dist, method = \"complete\")\r\n\r\n# Heatmap with row + column clustering\r\npheatmap(prs_scaled,\r\n         cluster_rows = user_hclust,\r\n         cluster_cols = TRUE,\r\n         clustering_distance_cols = \"euclidean\",\r\n         clustering_method = \"complete\",\r\n         treeheight_row = 120,\r\n         treeheight_col = 120,\r\n         fontsize = 12,\r\n         main = \"PRS Hierarchical Clustering\",\r\n         border_color = NA)</code></pre>\r\n        </details>\r\n      </div>\r\n      </div>\r\n    </div>\r\n    </div>\r\n  `;\r\n\r\n  // Download PRS matrix as JSON (ClustJS-compatible)\r\n  document.getElementById('downloadPrsMatrixBtn').onclick = () => {\r\n    const data = clusterCache.pivoted ?? pivotPrsResults(window.prsResults);\r\n    if (!data) { alert('No PRS matrix available. Run a PRS calculation first.'); return; }\r\n    const json = JSON.stringify(data, null, 2);\r\n    const blob = new Blob([json], { type: 'application/json' });\r\n    const url = URL.createObjectURL(blob);\r\n    const a = document.createElement('a');\r\n    a.href = url;\r\n    a.download = 'prs_matrix.json';\r\n    a.click();\r\n    URL.revokeObjectURL(url);\r\n  };\r\n\r\n  // Copy the R clustering snippet to the clipboard.\r\n  const copyRCodeBtn = document.getElementById('copyRCodeBtn');\r\n  if (copyRCodeBtn) {\r\n    copyRCodeBtn.onclick = async () => {\r\n      const code = document.getElementById('rCodeBlock')?.innerText ?? '';\r\n      try {\r\n        await navigator.clipboard.writeText(code);\r\n        const prev = copyRCodeBtn.innerHTML;\r\n        copyRCodeBtn.innerHTML = '<i class=\"fa fa-check me-1\" aria-hidden=\"true\"></i>Copied';\r\n        setTimeout(() => { copyRCodeBtn.innerHTML = prev; }, 1500);\r\n      } catch (err) {\r\n        console.error('[PRS Clustering] Copy R code failed:', err);\r\n        alert('Could not copy the R code.');\r\n      }\r\n    };\r\n  }\r\n\r\n  // WebR runner: seed the editor with the default code and wire Run / Reset.\r\n  const webRCodeEl = document.getElementById('webRCode');\r\n  if (webRCodeEl) {\r\n    // Restore previously-entered code (or seed the default on first render).\r\n    webRCodeEl.value = _webRState.code != null ? _webRState.code : WEBR_DEFAULT_CODE;\r\n    webRCodeEl.addEventListener('input', () => { _webRState.code = webRCodeEl.value; });\r\n  }\r\n  // Restore any previously-rendered plots / console / status so switching a\r\n  // clustering parameter for the first plot doesn't wipe the WebR output.\r\n  const webRPlotsEl = document.getElementById('webRPlots');\r\n  if (webRPlotsEl && _webRState.plotsHTML) webRPlotsEl.innerHTML = _webRState.plotsHTML;\r\n  const webRConsoleEl = document.getElementById('webRConsole');\r\n  if (webRConsoleEl && _webRState.consoleHTML) {\r\n    webRConsoleEl.textContent = _webRState.consoleHTML;\r\n    webRConsoleEl.style.display = _webRState.consoleVisible ? 'block' : 'none';\r\n  }\r\n  const webRStatusEl = document.getElementById('webRStatus');\r\n  if (webRStatusEl && _webRState.status) webRStatusEl.textContent = _webRState.status;\r\n  // Collapsible WebR card (collapsed by default; state survives re-renders).\r\n  const setWebRExpanded = (expanded) => {\r\n    _webRState.expanded = expanded;\r\n    document.getElementById('webRCardBody')?.classList.toggle('d-none', !expanded);\r\n    const toggle = document.getElementById('webRCardToggle');\r\n    if (toggle) toggle.setAttribute('aria-expanded', String(expanded));\r\n    const chevron = document.getElementById('webRCardChevron');\r\n    if (chevron) chevron.className = `fa fa-caret-${expanded ? 'down' : 'right'} me-1`;\r\n  };\r\n  const webRCardToggle = document.getElementById('webRCardToggle');\r\n  if (webRCardToggle) webRCardToggle.onclick = () => setWebRExpanded(!_webRState.expanded);\r\n  const runRWebRBtn = document.getElementById('runRWebRBtn');\r\n  if (runRWebRBtn) runRWebRBtn.onclick = () => {\r\n    // Expand so the status/plots/console are visible while R runs.\r\n    setWebRExpanded(true);\r\n    runRCodeInWebR();\r\n  };\r\n  const resetRCodeBtn = document.getElementById('resetRCodeBtn');\r\n  if (resetRCodeBtn) resetRCodeBtn.onclick = () => {\r\n    if (webRCodeEl) webRCodeEl.value = WEBR_DEFAULT_CODE;\r\n    _webRState.code = WEBR_DEFAULT_CODE;\r\n  };\r\n\r\n  // Download the rendered heatmap (the SVG inside the mount) as a PNG.\r\n  document.getElementById('downloadHeatmapPngBtn').onclick = () => {\r\n    const svg = document.querySelector('#clusterPlotMount svg');\r\n    if (!svg) { alert('No plot available yet. Render the clustering heatmap first.'); return; }\r\n    d3ToPng(svg, 'prs_clustering_heatmap', { scale: 2, background: 'white' })\r\n      .catch(err => { console.error('[PRS Clustering] PNG export error:', err); alert('Could not export the plot as PNG.'); });\r\n  };\r\n\r\n  // Attach button handlers for PRS clustering. Option clicks update the\r\n  // controls in place and re-render only the plot (previous plot stays visible\r\n  // under an overlay spinner) instead of rebuilding the whole panel.\r\n  const applyOptionChange = (patch) => {\r\n    window.clusterOptions = { ...window.clusterOptions, ...patch };\r\n    updateClusterControlStates();\r\n    schedulePlotRender();\r\n  };\r\n  document.getElementById('clusterRowsBtn').onclick = () => {\r\n    applyOptionChange({ clusterRows: !getClusterOptions().clusterRows });\r\n  };\r\n  document.getElementById('clusterColsBtn').onclick = () => {\r\n    applyOptionChange({ clusterCols: !getClusterOptions().clusterCols });\r\n  };\r\n\r\n  // Plot size preset handlers\r\n  document.getElementById('clusterSizeFit').onclick = () => applyOptionChange({ plotSize: 'fit' });\r\n  document.getElementById('clusterSizeDefault').onclick = () => applyOptionChange({ plotSize: 'default' });\r\n  document.getElementById('clusterSizeFull').onclick = () => applyOptionChange({ plotSize: 'full' });\r\n\r\n  // PRS clustering method handlers\r\n  document.getElementById('clusterMethodComplete').onclick = () => applyOptionChange({ clusterMethod: 'complete' });\r\n  document.getElementById('clusterMethodSingle').onclick = () => applyOptionChange({ clusterMethod: 'single' });\r\n  document.getElementById('clusterMethodAverage').onclick = () => applyOptionChange({ clusterMethod: 'average' });\r\n  document.getElementById('clusterMethodWard').onclick = () => {\r\n    // Ward only holds its minimum-variance interpretation under Euclidean distance,\r\n    // so selecting Ward forces the distance to Euclidean (ward.D2).\r\n    applyOptionChange({ clusterMethod: 'ward', clusterDistance: 'euclidean' });\r\n  };\r\n\r\n  // PRS clustering distance handlers\r\n  document.getElementById('clusterDistEuclidean').onclick = () => applyOptionChange({ clusterDistance: 'euclidean' });\r\n  document.getElementById('clusterDistManhattan').onclick = () => {\r\n    // Ward is invalid with non-Euclidean distances; fall back to complete linkage.\r\n    const method = getClusterOptions().clusterMethod === 'ward' ? 'complete' : getClusterOptions().clusterMethod;\r\n    applyOptionChange({ clusterDistance: 'manhattan', clusterMethod: method });\r\n  };\r\n  document.getElementById('clusterDistCosine').onclick = () => {\r\n    // Ward is invalid with non-Euclidean distances; fall back to complete linkage.\r\n    const method = getClusterOptions().clusterMethod === 'ward' ? 'complete' : getClusterOptions().clusterMethod;\r\n    applyOptionChange({ clusterDistance: 'cosine', clusterMethod: method });\r\n  };\r\n\r\n  // PRS clustering scale (normalization) handlers\r\n  document.getElementById('clusterScaleRaw').onclick = () => applyOptionChange({ normalize: false });\r\n  document.getElementById('clusterScaleZ').onclick = () => applyOptionChange({ normalize: true });\r\n\r\n  // Wire PRS matrix CSV download\r\n  const downloadPrsCsvBtn = document.getElementById('downloadPrsCsvBtn');\r\n  if (downloadPrsCsvBtn) {\r\n    downloadPrsCsvBtn.onclick = () => {\r\n      const data = clusterCache.pivoted ?? pivotPrsResults(window.prsResults);\r\n      if (!data) { alert('No PRS matrix available.'); return; }\r\n      downloadMatrixAsCsv(data, `prs_matrix_${data.length}users.csv`);\r\n    };\r\n  }\r\n\r\n  // Sync control states (Ward/distance disabling, both-button label, caption)\r\n  // and draw the plot via the serialized plot queue.\r\n  updateClusterControlStates();\r\n  schedulePlotRender();\r\n}\r\n\r\nwindow.renderCluster = renderCluster;\r\n\r\nObject.defineProperty(window, \"pivoted\", {\r\n  get() {\r\n    return clusterCache.pivoted;\r\n  },\r\n  configurable: true,\r\n});\r\n\r\nObject.defineProperty(window, \"clusterCache\", {\r\n  get() {\r\n    return clusterCache;\r\n  },\r\n  configurable: true,\r\n});\r\n\r\n// --- window.sdk namespace (cluster) ---\r\nwindow.sdk = Object.assign(window.sdk ?? {}, {\r\n    renderCluster,\r\n    invalidateClusterCache,\r\n    getClusterCache: () => clusterCache,\r\n});\r\n\r\n// Add live getters for pivoted and clusterCache into window.sdk\r\nObject.defineProperty(window.sdk, \"pivoted\", {\r\n    get() { return clusterCache.pivoted; },\r\n    configurable: true,\r\n});\r\nObject.defineProperty(window.sdk, \"clusterCache\", {\r\n    get() { return clusterCache; },\r\n    configurable: true,\r\n});\r\n","// AI Interpret tab — sends only a compact summary (no raw genotype data)\r\n// Users supply their own API key (OpenAI or Anthropic)\r\n\r\nfunction summarizePrsForAI() {\r\n\tconst results = window.prsResults || [];\r\n\r\n\tconst users = [...new Set(results.map(r => r.userName ?? r.userId).filter(Boolean))];\r\n\tconst pgsIds = [...new Set(results.map(r => r.pgsId).filter(Boolean))];\r\n\r\n\tconst prsSummary = results.map(r => ({\r\n\t\tuser: r.userName ?? r.userId,\r\n\t\tpgsId: r.pgsId,\r\n\t\tPRS: r.PRS,\r\n\t\tmatchedVariants: r.organized?.matched?.dt?.length ?? r.pgsMatchMy23?.length ?? null,\r\n\t\ttotalVariants: r.pgs?.dt?.length ?? null,\r\n\t\ttrait: r.pgs?.meta?.trait_reported ?? r.pgs?.meta?.trait ?? null\r\n\t}));\r\n\r\n\t// --- Clustering-oriented derived structure ---\r\n\t// Build a user × PGS pivot of PRS values so the model can see relative patterns.\r\n\tconst round = v => (Number.isFinite(v) ? Number(v.toFixed(4)) : null);\r\n\tconst pivot = {};\r\n\tfor (const r of results) {\r\n\t\tif (!r.userId || !Number.isFinite(r.PRS)) continue;\r\n\t\tconst label = r.userName ?? r.userId;\r\n\t\tif (!pivot[label]) pivot[label] = {};\r\n\t\tpivot[label][r.pgsId] = round(r.PRS);\r\n\t}\r\n\r\n\t// Per-PGS z-scores across users → highlights who is high/low for each trait.\r\n\tconst zPivot = {};\r\n\tfor (const pgsId of pgsIds) {\r\n\t\tconst vals = Object.values(pivot)\r\n\t\t\t.map(row => row[pgsId])\r\n\t\t\t.filter(v => Number.isFinite(v));\r\n\t\tif (vals.length < 2) continue;\r\n\t\tconst mean = vals.reduce((a, b) => a + b, 0) / vals.length;\r\n\t\tconst sd = Math.sqrt(vals.reduce((a, b) => a + (b - mean) ** 2, 0) / vals.length) || 1;\r\n\t\tfor (const label of Object.keys(pivot)) {\r\n\t\t\tconst v = pivot[label][pgsId];\r\n\t\t\tif (!Number.isFinite(v)) continue;\r\n\t\t\tzPivot[label] = zPivot[label] || {};\r\n\t\t\tzPivot[label][pgsId] = round((v - mean) / sd);\r\n\t\t}\r\n\t}\r\n\r\n\t// Pairwise Euclidean distances between users on z-scored PRS profiles.\r\n\t// Compact representation of clustering \"shape\" without sending raw genotypes.\r\n\tconst userLabels = Object.keys(zPivot);\r\n\tconst distances = [];\r\n\tfor (let i = 0; i < userLabels.length; i++) {\r\n\t\tfor (let j = i + 1; j < userLabels.length; j++) {\r\n\t\t\tconst a = zPivot[userLabels[i]];\r\n\t\t\tconst b = zPivot[userLabels[j]];\r\n\t\t\tlet sumSq = 0, n = 0;\r\n\t\t\tfor (const pgsId of pgsIds) {\r\n\t\t\t\tif (Number.isFinite(a[pgsId]) && Number.isFinite(b[pgsId])) {\r\n\t\t\t\t\tsumSq += (a[pgsId] - b[pgsId]) ** 2;\r\n\t\t\t\t\tn++;\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\tif (n > 0) {\r\n\t\t\t\tdistances.push({\r\n\t\t\t\t\ta: userLabels[i],\r\n\t\t\t\t\tb: userLabels[j],\r\n\t\t\t\t\tsharedPgs: n,\r\n\t\t\t\t\teuclidean: round(Math.sqrt(sumSq))\r\n\t\t\t\t});\r\n\t\t\t}\r\n\t\t}\r\n\t}\r\n\r\n\t// Per-PGS missingness rate across users (fraction of users missing this PGS score).\r\n\tconst missingnessPerPgs = pgsIds.map(pgsId => {\r\n\t\tconst total = users.length || 1;\r\n\t\tconst present = Object.values(pivot).filter(row => Number.isFinite(row[pgsId])).length;\r\n\t\treturn { pgsId, present, total, missingFraction: round(1 - present / total) };\r\n\t});\r\n\r\n\t// --- PRS clustering summary (compact, no raw matrices) ---\r\n\tconst opts = window.clusterOptions || {};\r\n\tconst cache = (typeof window.getClusterCache === 'function') ? window.getClusterCache() : null;\r\n\r\n\tconst matrixDims = m => (Array.isArray(m) && m.length > 0)\r\n\t\t? { rows: m.length, cols: Math.max(0, Object.keys(m[0]).length - 1) }\r\n\t\t: null;\r\n\r\n\tconst sectionsRun = {};\r\n\tif (cache) {\r\n\t\t// PRS Clustering (users × PGS pivot)\r\n\t\tif (cache.pivoted) {\r\n\t\t\tsectionsRun.A = {\r\n\t\t\t\ttitle: 'PRS Clustering (Users × PGS)',\r\n\t\t\t\tdims: matrixDims(cache.pivoted),\r\n\t\t\t\toptions: {\r\n\t\t\t\t\tclusterRows: opts.clusterRows ?? true,\r\n\t\t\t\t\tclusterCols: opts.clusterCols ?? true,\r\n\t\t\t\t\tlinkage: opts.clusterMethod ?? 'complete',\r\n\t\t\t\t\tdistance: opts.clusterDistance ?? 'euclidean'\r\n\t\t\t\t}\r\n\t\t\t};\r\n\t\t}\r\n\t}\r\n\r\n\tconst activeSection = opts.activeClusterSection ?? null;\r\n\r\n\treturn {\r\n\t\tcontext: \"Browser-native PRS and clustering SDK. Interpret results as exploratory, not clinical.\",\r\n\t\tusers,\r\n\t\tpgsIds,\r\n\t\tresultCount: results.length,\r\n\t\tprsSummary,\r\n\t\tclustering: {\r\n\t\t\tnote: \"PRS pivot, per-PGS z-scores, and pairwise Euclidean distances between users computed from the z-scored user × PGS matrix. Use these to discuss which users group together and which PGS scores drive the separation.\",\r\n\t\t\tprsPivot: pivot,\r\n\t\t\tzScorePivot: zPivot,\r\n\t\t\tpairwiseUserDistances: distances,\r\n\t\t\tmissingnessPerPgs,\r\n\t\t\tsectionsRun,\r\n\t\t\tactiveSection,\r\n\t\t\tsectionsNote: \"sectionsRun lists the PRS clustering view the user has computed in the Cluster tab, with matrix dimensions and the linkage/distance/cluster-axis options chosen. Reference these explicitly when interpreting results.\"\r\n\t\t}\r\n\t};\r\n}\r\n\r\nfunction buildAIPrompt(question) {\r\n\tconsole.log(\"Building AI prompt with question:\", question);\r\n\tconst summary = summarizePrsForAI();\r\n\r\n\treturn `You are helping interpret exploratory polygenic risk score clustering results.\r\n\r\nImportant constraints:\r\n- Do not give medical diagnosis or clinical advice.\r\n- Explain that PRS/clustering results are exploratory.\r\n- Discuss missing variants, matched variant counts, clustering patterns, and technical limitations.\r\n- Mention possible platform/genotyping overlap effects.\r\n- Write in language suitable for a Bioinformatics application note.\r\n\r\nClustering section present in the data summary (clustering.sectionsRun):\r\n- A: PRS Clustering (Users × PGS)\r\nReference its dimensions and chosen linkage/distance/cluster-axis options.\r\n\r\nUser question:\r\n${question}\r\n\r\nData summary:\r\n${JSON.stringify(summary, null, 2)}`;\r\n}\r\n\r\nasync function callOpenAI(apiKey, prompt, model = \"gpt-4.1-mini\") {\r\n\tconsole.log(\"Calling OpenAI with prompt:\", prompt, \"model:\", model);\r\n\tconst res = await fetch(\"https://api.openai.com/v1/responses\", {\r\n\t\tmethod: \"POST\",\r\n\t\theaders: {\r\n\t\t\t\"Content-Type\": \"application/json\",\r\n\t\t\t\"Authorization\": `Bearer ${apiKey}`\r\n\t\t},\r\n\t\tbody: JSON.stringify({\r\n\t\t\tmodel,\r\n\t\t\tinput: prompt\r\n\t\t})\r\n\t});\r\n\r\n\tif (!res.ok) throw new Error(await res.text());\r\n\tconst data = await res.json();\r\n\t//Now aiInterpret.js shows just output_text (or Claude's joined content[].text) in the main pane, with a \"View full JSON\" button (Bootstrap collapse) that reveals the raw response below.\r\n\tconst text = data.output_text\r\n\t\t?? data.output?.flatMap(o => o.content ?? []).map(c => c.text).filter(Boolean).join(\"\\n\")\r\n\t\t?? \"(no output_text returned)\";\r\n\treturn { text, raw: data };\r\n}\r\n\r\nasync function callClaude(apiKey, prompt, model = \"claude-sonnet-4-5\") {\r\n\tconst res = await fetch(\"https://api.anthropic.com/v1/messages\", {\r\n\t\tmethod: \"POST\",\r\n\t\theaders: {\r\n\t\t\t\"Content-Type\": \"application/json\",\r\n\t\t\t\"x-api-key\": apiKey,\r\n\t\t\t\"anthropic-version\": \"2023-06-01\",\r\n\t\t\t\"anthropic-dangerous-allow-browser\": \"true\"\r\n\t\t},\r\n\t\tbody: JSON.stringify({\r\n\t\t\tmodel,\r\n\t\t\tmax_tokens: 1200,\r\n\t\t\tmessages: [{ role: \"user\", content: prompt }]\r\n\t\t})\r\n\t});\r\n\r\n\tif (!res.ok) throw new Error(await res.text());\r\n\tconst data = await res.json();\r\n\t//Now aiInterpret.js shows just output_text (or Claude's joined content[].text) in the main pane, with a \"View full JSON\" button (Bootstrap collapse) that reveals the raw response below.\r\n\tconst text = data.content?.map(x => x.text).join(\"\\n\") ?? \"(no content returned)\";\r\n\treturn { text, raw: data };\r\n}\r\n\r\ndocument.getElementById(\"runAIInterpretBtn\")?.addEventListener(\"click\", async () => {\r\n\tconst output = document.getElementById(\"aiInterpretOutput\");\r\n\tconst provider = document.getElementById(\"aiProvider\").value;\r\n\tconst model = document.getElementById(\"aiModel\")?.value;\r\n\tconst apiKey = document.getElementById(\"aiApiKey\").value.trim();\r\n\tconst question = document.getElementById(\"aiQuestion\").value.trim();\r\n\r\n\tif (!apiKey) {\r\n\t\toutput.innerHTML = `<div class=\"alert alert-warning\">Please enter your API key.</div>`;\r\n\t\treturn;\r\n\t}\r\n\r\n\toutput.innerHTML = `<div class=\"alert alert-info\">Interpreting results...</div>`;\r\n\r\n\ttry {\r\n\t\tconst prompt = buildAIPrompt(question);\r\n\t\tconst { text, raw } = provider === \"anthropic\"\r\n\t\t\t? await callClaude(apiKey, prompt, model)\r\n\t\t\t: await callOpenAI(apiKey, prompt, model);\r\n\r\n\t\tconst esc = s => String(s).replace(/&/g, \"&amp;\").replace(/</g, \"&lt;\").replace(/>/g, \"&gt;\");\r\n\t\toutput.innerHTML = `\r\n\t\t\t<div class=\"card\">\r\n\t\t\t\t<div class=\"card-header d-flex justify-content-between align-items-center\">\r\n\t\t\t\t\t<strong>AI Interpretation</strong>\r\n\t\t\t\t\t<button type=\"button\" class=\"btn btn-sm btn-outline-secondary\" data-bs-toggle=\"collapse\" data-bs-target=\"#aiRawJson\" aria-expanded=\"false\">View full JSON</button>\r\n\t\t\t\t</div>\r\n\t\t\t\t<div class=\"card-body\">\r\n\t\t\t\t\t<pre style=\"white-space:pre-wrap\">${esc(text)}</pre>\r\n\t\t\t\t\t<div id=\"aiRawJson\" class=\"collapse mt-3\">\r\n\t\t\t\t\t\t<pre style=\"white-space:pre-wrap;max-height:400px;overflow:auto;background:#f8f9fa;padding:.5rem;border:1px solid #dee2e6;border-radius:.25rem\">${esc(JSON.stringify(raw, null, 2))}</pre>\r\n\t\t\t\t\t</div>\r\n\t\t\t\t</div>\r\n\t\t\t</div>`;\r\n\t} catch (err) {\r\n\t\toutput.innerHTML = `<div class=\"alert alert-danger\">${err.message}</div>`;\r\n\t}\r\n});\r\n\r\n// Auto-filter model dropdown to only show models matching the selected provider.\r\n(function setupAIModelFilter() {\r\n\tconst providerEl = document.getElementById(\"aiProvider\");\r\n\tconst modelEl = document.getElementById(\"aiModel\");\r\n\tif (!providerEl || !modelEl) return;\r\n\r\n\tconst defaults = { openai: \"gpt-4.1-mini\", anthropic: \"claude-sonnet-4-5\" };\r\n\r\n\tfunction syncModels() {\r\n\t\tconst provider = providerEl.value;\r\n\t\tlet firstVisible = null;\r\n\t\tArray.from(modelEl.querySelectorAll(\"optgroup\")).forEach(group => {\r\n\t\t\tconst isOpenAI = /openai/i.test(group.label);\r\n\t\t\tconst isAnthropic = /anthropic|claude/i.test(group.label);\r\n\t\t\tconst show = (provider === \"openai\" && isOpenAI) || (provider === \"anthropic\" && isAnthropic);\r\n\t\t\tgroup.hidden = !show;\r\n\t\t\tArray.from(group.children).forEach(opt => {\r\n\t\t\t\topt.hidden = !show;\r\n\t\t\t\topt.disabled = !show;\r\n\t\t\t\tif (show && !firstVisible) firstVisible = opt;\r\n\t\t\t});\r\n\t\t});\r\n\t\tconst current = modelEl.options[modelEl.selectedIndex];\r\n\t\tif (!current || current.hidden) {\r\n\t\t\tmodelEl.value = defaults[provider] || (firstVisible && firstVisible.value) || \"\";\r\n\t\t}\r\n\t}\r\n\r\n\tproviderEl.addEventListener(\"change\", syncModels);\r\n\tsyncModels();\r\n})();\r\n\r\n// Initialize Bootstrap popovers (e.g., the \"?\" help button next to API Key).\r\n(function initAIPopovers() {\r\n\tif (typeof bootstrap === \"undefined\" || !bootstrap.Popover) return;\r\n\tdocument.querySelectorAll('[data-bs-toggle=\"popover\"]').forEach(el => {\r\n\t\tif (!bootstrap.Popover.getInstance(el)) new bootstrap.Popover(el);\r\n\t});\r\n})();\r\n","\n/**\n * @file Core utility functions/classes for Transformers.js.\n * \n * These are only used internally, meaning an end-user shouldn't\n * need to access anything here.\n * \n * @module utils/core\n */\n\n/**\n * Helper function to dispatch progress callbacks.\n *\n * @param {Function} progress_callback The progress callback function to dispatch.\n * @param {any} data The data to pass to the progress callback function.\n * @returns {void}\n * @private\n */\nexport function dispatchCallback(progress_callback, data) {\n    if (progress_callback) progress_callback(data);\n}\n\n/**\n * Reverses the keys and values of an object.\n *\n * @param {Object} data The object to reverse.\n * @returns {Object} The reversed object.\n * @see https://ultimatecourses.com/blog/reverse-object-keys-and-values-in-javascript\n */\nexport function reverseDictionary(data) {\n    // https://ultimatecourses.com/blog/reverse-object-keys-and-values-in-javascript\n    return Object.fromEntries(Object.entries(data).map(([key, value]) => [value, key]));\n}\n\n/**\n * Escapes regular expression special characters from a string by replacing them with their escaped counterparts.\n *\n * @param {string} string The string to escape.\n * @returns {string} The escaped string.\n */\nexport function escapeRegExp(string) {\n    return string.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\$&'); // $& means the whole matched string\n}\n\n/**\n * A base class for creating callable objects.\n * \n * @type {new () => {(...args: any[]): any, _call(...args: any[]): any}}\n */\nexport const Callable = /** @type {any} */ (class {\n    /**\n    * Creates a new instance of the Callable class.\n    */\n    constructor() {\n        /**\n         * Creates a closure that delegates to a private method '_call' with the given arguments.\n         * @type {any}\n         * @param {...any} args Zero or more arguments to pass to the '_call' method.\n         * @returns {*} The result of calling the '_call' method.\n         */\n        let closure = function (...args) {\n            return closure._call(...args)\n        }\n        return Object.setPrototypeOf(closure, new.target.prototype)\n    }\n\n    /**\n     * This method should be implemented in subclasses to provide the\n     * functionality of the callable object.\n     *\n     * @param {any[]} args\n     * @throws {Error} If the subclass does not implement the `_call` method.\n     */\n    _call(...args) {\n        throw Error('Must implement _call method in subclass')\n    }\n});\n\n/**\n * Check if a value is a typed array.\n * @param {*} val The value to check.\n * @returns {boolean} True if the value is a `TypedArray`, false otherwise.\n * \n * Adapted from https://stackoverflow.com/a/71091338/13989043\n */\nexport function isTypedArray(val) {\n    return val?.prototype?.__proto__?.constructor?.name === 'TypedArray';\n}\n\n\n/**\n * Check if a value is an integer.\n * @param {*} x The value to check.\n * @returns {boolean} True if the value is a string, false otherwise.\n */\nexport function isIntegralNumber(x) {\n    return Number.isInteger(x) || typeof x === 'bigint'\n}\n\n/**\n * Check if a value is exists.\n * @param {*} x The value to check.\n * @returns {boolean} True if the value exists, false otherwise.\n */\nexport function exists(x) {\n    return x !== undefined && x !== null;\n}\n\n/**\n * Calculates the dimensions of a nested array.\n *\n * @param {any[]} arr The nested array to calculate dimensions for.\n * @returns {number[]} An array containing the dimensions of the input array.\n */\nexport function calculateDimensions(arr) {\n    const dimensions = [];\n    let current = arr;\n    while (Array.isArray(current)) {\n        dimensions.push(current.length);\n        current = current[0];\n    }\n    return dimensions;\n}\n\n/**\n * Replicate python's .pop() method for objects.\n * @param {Object} obj The object to pop from.\n * @param {string} key The key to pop.\n * @param {*} defaultValue The default value to return if the key does not exist.\n * @returns {*} The value of the popped key.\n * @throws {Error} If the key does not exist and no default value is provided.\n */\nexport function pop(obj, key, defaultValue = undefined) {\n    const value = obj[key];\n    if (value !== undefined) {\n        delete obj[key];\n        return value;\n    }\n    if (defaultValue === undefined) {\n        throw Error(`Key ${key} does not exist in object.`)\n    }\n    return defaultValue;\n}\n\n/**\n * Efficiently merge arrays, creating a new copy.\n * Adapted from https://stackoverflow.com/a/6768642/13989043\n * @param  {Array[]} arrs Arrays to merge.\n * @returns {Array} The merged array.\n */\nexport function mergeArrays(...arrs) {\n    return Array.prototype.concat.apply([], arrs);\n}\n\n/**\n * Compute the Cartesian product of given arrays\n * @param {...Array} a Arrays to compute the product\n * @returns {Array} Returns the computed Cartesian product as an array\n * @private\n */\nexport function product(...a) {\n    // Cartesian product of items\n    // Adapted from https://stackoverflow.com/a/43053803\n    return a.reduce((a, b) => a.flatMap(d => b.map(e => [d, e])));\n}\n\n/**\n * Calculates the index offset for a given index and window size.\n * @param {number} i The index.\n * @param {number} w The window size.\n * @returns {number} The index offset.\n */\nexport function calculateReflectOffset(i, w) {\n    return Math.abs((i + w) % (2 * w) - w);\n}\n","// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nconst backends = {};\nconst backendsSortedByPriority = [];\n/**\n * Register a backend.\n *\n * @param name - the name as a key to lookup as an execution provider.\n * @param backend - the backend object.\n * @param priority - an integer indicating the priority of the backend. Higher number means higher priority. if priority\n * < 0, it will be considered as a 'beta' version and will not be used as a fallback backend by default.\n *\n * @internal\n */\nexport const registerBackend = (name, backend, priority) => {\n    if (backend && typeof backend.init === 'function' && typeof backend.createSessionHandler === 'function') {\n        const currentBackend = backends[name];\n        if (currentBackend === undefined) {\n            backends[name] = { backend, priority };\n        }\n        else if (currentBackend.priority > priority) {\n            // same name is already registered with a higher priority. skip registeration.\n            return;\n        }\n        else if (currentBackend.priority === priority) {\n            if (currentBackend.backend !== backend) {\n                throw new Error(`cannot register backend \"${name}\" using priority ${priority}`);\n            }\n        }\n        if (priority >= 0) {\n            const i = backendsSortedByPriority.indexOf(name);\n            if (i !== -1) {\n                backendsSortedByPriority.splice(i, 1);\n            }\n            for (let i = 0; i < backendsSortedByPriority.length; i++) {\n                if (backends[backendsSortedByPriority[i]].priority <= priority) {\n                    backendsSortedByPriority.splice(i, 0, name);\n                    return;\n                }\n            }\n            backendsSortedByPriority.push(name);\n        }\n        return;\n    }\n    throw new TypeError('not a valid backend');\n};\n/**\n * Resolve backend by specified hints.\n *\n * @param backendHints - a list of execution provider names to lookup. If omitted use registered backends as list.\n * @returns a promise that resolves to the backend.\n *\n * @internal\n */\nexport const resolveBackend = async (backendHints) => {\n    const backendNames = backendHints.length === 0 ? backendsSortedByPriority : backendHints;\n    const errors = [];\n    for (const backendName of backendNames) {\n        const backendInfo = backends[backendName];\n        if (backendInfo) {\n            if (backendInfo.initialized) {\n                return backendInfo.backend;\n            }\n            else if (backendInfo.aborted) {\n                continue; // current backend is unavailable; try next\n            }\n            const isInitializing = !!backendInfo.initPromise;\n            try {\n                if (!isInitializing) {\n                    backendInfo.initPromise = backendInfo.backend.init();\n                }\n                await backendInfo.initPromise;\n                backendInfo.initialized = true;\n                return backendInfo.backend;\n            }\n            catch (e) {\n                if (!isInitializing) {\n                    errors.push({ name: backendName, err: e });\n                }\n                backendInfo.aborted = true;\n            }\n            finally {\n                delete backendInfo.initPromise;\n            }\n        }\n    }\n    throw new Error(`no available backend found. ERR: ${errors.map(e => `[${e.name}] ${e.err}`).join(', ')}`);\n};\n//# sourceMappingURL=backend-impl.js.map","// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nexport class EnvImpl {\n    constructor() {\n        this.wasm = {};\n        this.webgl = {};\n        this.logLevelInternal = 'warning';\n    }\n    // TODO standadize the getter and setter convention in env for other fields.\n    set logLevel(value) {\n        if (value === undefined) {\n            return;\n        }\n        if (typeof value !== 'string' || ['verbose', 'info', 'warning', 'error', 'fatal'].indexOf(value) === -1) {\n            throw new Error(`Unsupported logging level: ${value}`);\n        }\n        this.logLevelInternal = value;\n    }\n    get logLevel() {\n        return this.logLevelInternal;\n    }\n}\n//# sourceMappingURL=env-impl.js.map","// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nimport { EnvImpl } from './env-impl';\n/**\n * Represent a set of flags as a global singleton.\n */\nexport const env = new EnvImpl();\n//# sourceMappingURL=env.js.map","// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nconst isBigInt64ArrayAvailable = typeof BigInt64Array !== 'undefined' && typeof BigInt64Array.from === 'function';\nconst isBigUint64ArrayAvailable = typeof BigUint64Array !== 'undefined' && typeof BigUint64Array.from === 'function';\n// a runtime map that maps type string to TypedArray constructor. Should match Tensor.DataTypeMap.\nconst NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP = new Map([\n    ['float32', Float32Array],\n    ['uint8', Uint8Array],\n    ['int8', Int8Array],\n    ['uint16', Uint16Array],\n    ['int16', Int16Array],\n    ['int32', Int32Array],\n    ['bool', Uint8Array],\n    ['float64', Float64Array],\n    ['uint32', Uint32Array],\n]);\n// a runtime map that maps type string to TypedArray constructor. Should match Tensor.DataTypeMap.\nconst NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP = new Map([\n    [Float32Array, 'float32'],\n    [Uint8Array, 'uint8'],\n    [Int8Array, 'int8'],\n    [Uint16Array, 'uint16'],\n    [Int16Array, 'int16'],\n    [Int32Array, 'int32'],\n    [Float64Array, 'float64'],\n    [Uint32Array, 'uint32'],\n]);\nif (isBigInt64ArrayAvailable) {\n    NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set('int64', BigInt64Array);\n    NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.set(BigInt64Array, 'int64');\n}\nif (isBigUint64ArrayAvailable) {\n    NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set('uint64', BigUint64Array);\n    NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.set(BigUint64Array, 'uint64');\n}\n/**\n * calculate size from dims.\n *\n * @param dims the dims array. May be an illegal input.\n */\nconst calculateSize = (dims) => {\n    let size = 1;\n    for (let i = 0; i < dims.length; i++) {\n        const dim = dims[i];\n        if (typeof dim !== 'number' || !Number.isSafeInteger(dim)) {\n            throw new TypeError(`dims[${i}] must be an integer, got: ${dim}`);\n        }\n        if (dim < 0) {\n            throw new RangeError(`dims[${i}] must be a non-negative integer, got: ${dim}`);\n        }\n        size *= dim;\n    }\n    return size;\n};\nexport class Tensor {\n    constructor(arg0, arg1, arg2) {\n        let type;\n        let data;\n        let dims;\n        // check whether arg0 is type or data\n        if (typeof arg0 === 'string') {\n            //\n            // Override: constructor(type, data, ...)\n            //\n            type = arg0;\n            dims = arg2;\n            if (arg0 === 'string') {\n                // string tensor\n                if (!Array.isArray(arg1)) {\n                    throw new TypeError('A string tensor\\'s data must be a string array.');\n                }\n                // we don't check whether every element in the array is string; this is too slow. we assume it's correct and\n                // error will be populated at inference\n                data = arg1;\n            }\n            else {\n                // numeric tensor\n                const typedArrayConstructor = NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.get(arg0);\n                if (typedArrayConstructor === undefined) {\n                    throw new TypeError(`Unsupported tensor type: ${arg0}.`);\n                }\n                if (Array.isArray(arg1)) {\n                    // use 'as any' here because TypeScript's check on type of 'SupportedTypedArrayConstructors.from()' produces\n                    // incorrect results.\n                    // 'typedArrayConstructor' should be one of the typed array prototype objects.\n                    // eslint-disable-next-line @typescript-eslint/no-explicit-any\n                    data = typedArrayConstructor.from(arg1);\n                }\n                else if (arg1 instanceof typedArrayConstructor) {\n                    data = arg1;\n                }\n                else {\n                    throw new TypeError(`A ${type} tensor's data must be type of ${typedArrayConstructor}`);\n                }\n            }\n        }\n        else {\n            //\n            // Override: constructor(data, ...)\n            //\n            dims = arg1;\n            if (Array.isArray(arg0)) {\n                // only boolean[] and string[] is supported\n                if (arg0.length === 0) {\n                    throw new TypeError('Tensor type cannot be inferred from an empty array.');\n                }\n                const firstElementType = typeof arg0[0];\n                if (firstElementType === 'string') {\n                    type = 'string';\n                    data = arg0;\n                }\n                else if (firstElementType === 'boolean') {\n                    type = 'bool';\n                    // 'arg0' is of type 'boolean[]'. Uint8Array.from(boolean[]) actually works, but typescript thinks this is\n                    // wrong type. We use 'as any' to make it happy.\n                    // eslint-disable-next-line @typescript-eslint/no-explicit-any\n                    data = Uint8Array.from(arg0);\n                }\n                else {\n                    throw new TypeError(`Invalid element type of data array: ${firstElementType}.`);\n                }\n            }\n            else {\n                // get tensor type from TypedArray\n                const mappedType = NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.get(arg0.constructor);\n                if (mappedType === undefined) {\n                    throw new TypeError(`Unsupported type for tensor data: ${arg0.constructor}.`);\n                }\n                type = mappedType;\n                data = arg0;\n            }\n        }\n        // type and data is processed, now processing dims\n        if (dims === undefined) {\n            // assume 1-D tensor if dims omitted\n            dims = [data.length];\n        }\n        else if (!Array.isArray(dims)) {\n            throw new TypeError('A tensor\\'s dims must be a number array');\n        }\n        // perform check\n        const size = calculateSize(dims);\n        if (size !== data.length) {\n            throw new Error(`Tensor's size(${size}) does not match data length(${data.length}).`);\n        }\n        this.dims = dims;\n        this.type = type;\n        this.data = data;\n        this.size = size;\n    }\n    // #endregion\n    /**\n     * Create a new tensor object from image object\n     *\n     * @param buffer - Extracted image buffer data - assuming RGBA format\n     * @param imageFormat - input image configuration - required configurations height, width, format\n     * @param tensorFormat - output tensor configuration - Default is RGB format\n     */\n    static bufferToTensor(buffer, options) {\n        if (buffer === undefined) {\n            throw new Error('Image buffer must be defined');\n        }\n        if (options.height === undefined || options.width === undefined) {\n            throw new Error('Image height and width must be defined');\n        }\n        const { height, width } = options;\n        const norm = options.norm;\n        let normMean;\n        let normBias;\n        if (norm === undefined || norm.mean === undefined) {\n            normMean = 255;\n        }\n        else {\n            normMean = norm.mean;\n        }\n        if (norm === undefined || norm.bias === undefined) {\n            normBias = 0;\n        }\n        else {\n            normBias = norm.bias;\n        }\n        const inputformat = options.bitmapFormat !== undefined ? options.bitmapFormat : 'RGBA';\n        // default value is RGBA since imagedata and HTMLImageElement uses it\n        const outputformat = options.tensorFormat !== undefined ?\n            (options.tensorFormat !== undefined ? options.tensorFormat : 'RGB') :\n            'RGB';\n        const offset = height * width;\n        const float32Data = outputformat === 'RGBA' ? new Float32Array(offset * 4) : new Float32Array(offset * 3);\n        // Default pointer assignments\n        let step = 4, rImagePointer = 0, gImagePointer = 1, bImagePointer = 2, aImagePointer = 3;\n        let rTensorPointer = 0, gTensorPointer = offset, bTensorPointer = offset * 2, aTensorPointer = -1;\n        // Updating the pointer assignments based on the input image format\n        if (inputformat === 'RGB') {\n            step = 3;\n            rImagePointer = 0;\n            gImagePointer = 1;\n            bImagePointer = 2;\n            aImagePointer = -1;\n        }\n        // Updating the pointer assignments based on the output tensor format\n        if (outputformat === 'RGBA') {\n            aTensorPointer = offset * 3;\n        }\n        else if (outputformat === 'RBG') {\n            rTensorPointer = 0;\n            bTensorPointer = offset;\n            gTensorPointer = offset * 2;\n        }\n        else if (outputformat === 'BGR') {\n            bTensorPointer = 0;\n            gTensorPointer = offset;\n            rTensorPointer = offset * 2;\n        }\n        for (let i = 0; i < offset; i++, rImagePointer += step, bImagePointer += step, gImagePointer += step, aImagePointer += step) {\n            float32Data[rTensorPointer++] = (buffer[rImagePointer] + normBias) / normMean;\n            float32Data[gTensorPointer++] = (buffer[gImagePointer] + normBias) / normMean;\n            float32Data[bTensorPointer++] = (buffer[bImagePointer] + normBias) / normMean;\n            if (aTensorPointer !== -1 && aImagePointer !== -1) {\n                float32Data[aTensorPointer++] = (buffer[aImagePointer] + normBias) / normMean;\n            }\n        }\n        // Float32Array -> ort.Tensor\n        const outputTensor = outputformat === 'RGBA' ? new Tensor('float32', float32Data, [1, 4, height, width]) :\n            new Tensor('float32', float32Data, [1, 3, height, width]);\n        return outputTensor;\n    }\n    static async fromImage(image, options) {\n        // checking the type of image object\n        const isHTMLImageEle = typeof (HTMLImageElement) !== 'undefined' && image instanceof HTMLImageElement;\n        const isImageDataEle = typeof (ImageData) !== 'undefined' && image instanceof ImageData;\n        const isImageBitmap = typeof (ImageBitmap) !== 'undefined' && image instanceof ImageBitmap;\n        const isURL = typeof (String) !== 'undefined' && (image instanceof String || typeof image === 'string');\n        let data;\n        let tensorConfig = {};\n        // filling and checking image configuration options\n        if (isHTMLImageEle) {\n            // HTMLImageElement - image object - format is RGBA by default\n            const canvas = document.createElement('canvas');\n            const pixels2DContext = canvas.getContext('2d');\n            if (pixels2DContext != null) {\n                let height = image.naturalHeight;\n                let width = image.naturalWidth;\n                if (options !== undefined && options.resizedHeight !== undefined && options.resizedWidth !== undefined) {\n                    height = options.resizedHeight;\n                    width = options.resizedWidth;\n                }\n                if (options !== undefined) {\n                    tensorConfig = options;\n                    if (options.tensorFormat !== undefined) {\n                        throw new Error('Image input config format must be RGBA for HTMLImageElement');\n                    }\n                    else {\n                        tensorConfig.tensorFormat = 'RGBA';\n                    }\n                    if (options.height !== undefined && options.height !== height) {\n                        throw new Error('Image input config height doesn\\'t match HTMLImageElement height');\n                    }\n                    else {\n                        tensorConfig.height = height;\n                    }\n                    if (options.width !== undefined && options.width !== width) {\n                        throw new Error('Image input config width doesn\\'t match HTMLImageElement width');\n                    }\n                    else {\n                        tensorConfig.width = width;\n                    }\n                }\n                else {\n                    tensorConfig.tensorFormat = 'RGBA';\n                    tensorConfig.height = height;\n                    tensorConfig.width = width;\n                }\n                canvas.width = width;\n                canvas.height = height;\n                pixels2DContext.drawImage(image, 0, 0, width, height);\n                data = pixels2DContext.getImageData(0, 0, width, height).data;\n            }\n            else {\n                throw new Error('Can not access image data');\n            }\n        }\n        else if (isImageDataEle) {\n            // ImageData - image object - format is RGBA by default\n            const format = 'RGBA';\n            let height;\n            let width;\n            if (options !== undefined && options.resizedWidth !== undefined && options.resizedHeight !== undefined) {\n                height = options.resizedHeight;\n                width = options.resizedWidth;\n            }\n            else {\n                height = image.height;\n                width = image.width;\n            }\n            if (options !== undefined) {\n                tensorConfig = options;\n                if (options.bitmapFormat !== undefined && options.bitmapFormat !== format) {\n                    throw new Error('Image input config format must be RGBA for ImageData');\n                }\n                else {\n                    tensorConfig.bitmapFormat = 'RGBA';\n                }\n            }\n            else {\n                tensorConfig.bitmapFormat = 'RGBA';\n            }\n            tensorConfig.height = height;\n            tensorConfig.width = width;\n            if (options !== undefined) {\n                const tempCanvas = document.createElement('canvas');\n                tempCanvas.width = width;\n                tempCanvas.height = height;\n                const pixels2DContext = tempCanvas.getContext('2d');\n                if (pixels2DContext != null) {\n                    pixels2DContext.putImageData(image, 0, 0);\n                    data = pixels2DContext.getImageData(0, 0, width, height).data;\n                }\n                else {\n                    throw new Error('Can not access image data');\n                }\n            }\n            else {\n                data = image.data;\n            }\n        }\n        else if (isImageBitmap) {\n            // ImageBitmap - image object - format must be provided by user\n            if (options === undefined) {\n                throw new Error('Please provide image config with format for Imagebitmap');\n            }\n            if (options.bitmapFormat !== undefined) {\n                throw new Error('Image input config format must be defined for ImageBitmap');\n            }\n            const pixels2DContext = document.createElement('canvas').getContext('2d');\n            if (pixels2DContext != null) {\n                const height = image.height;\n                const width = image.width;\n                pixels2DContext.drawImage(image, 0, 0, width, height);\n                data = pixels2DContext.getImageData(0, 0, width, height).data;\n                if (options !== undefined) {\n                    // using square brackets to avoid TS error - type 'never'\n                    if (options.height !== undefined && options.height !== height) {\n                        throw new Error('Image input config height doesn\\'t match ImageBitmap height');\n                    }\n                    else {\n                        tensorConfig.height = height;\n                    }\n                    // using square brackets to avoid TS error - type 'never'\n                    if (options.width !== undefined && options.width !== width) {\n                        throw new Error('Image input config width doesn\\'t match ImageBitmap width');\n                    }\n                    else {\n                        tensorConfig.width = width;\n                    }\n                }\n                else {\n                    tensorConfig.height = height;\n                    tensorConfig.width = width;\n                }\n                return Tensor.bufferToTensor(data, tensorConfig);\n            }\n            else {\n                throw new Error('Can not access image data');\n            }\n        }\n        else if (isURL) {\n            return new Promise((resolve, reject) => {\n                const canvas = document.createElement('canvas');\n                const context = canvas.getContext('2d');\n                if (!image || !context) {\n                    return reject();\n                }\n                const newImage = new Image();\n                newImage.crossOrigin = 'Anonymous';\n                newImage.src = image;\n                newImage.onload = () => {\n                    canvas.width = newImage.width;\n                    canvas.height = newImage.height;\n                    context.drawImage(newImage, 0, 0, canvas.width, canvas.height);\n                    const img = context.getImageData(0, 0, canvas.width, canvas.height);\n                    if (options !== undefined) {\n                        // using square brackets to avoid TS error - type 'never'\n                        if (options.height !== undefined && options.height !== canvas.height) {\n                            throw new Error('Image input config height doesn\\'t match ImageBitmap height');\n                        }\n                        else {\n                            tensorConfig.height = canvas.height;\n                        }\n                        // using square brackets to avoid TS error - type 'never'\n                        if (options.width !== undefined && options.width !== canvas.width) {\n                            throw new Error('Image input config width doesn\\'t match ImageBitmap width');\n                        }\n                        else {\n                            tensorConfig.width = canvas.width;\n                        }\n                    }\n                    else {\n                        tensorConfig.height = canvas.height;\n                        tensorConfig.width = canvas.width;\n                    }\n                    resolve(Tensor.bufferToTensor(img.data, tensorConfig));\n                };\n            });\n        }\n        else {\n            throw new Error('Input data provided is not supported - aborted tensor creation');\n        }\n        if (data !== undefined) {\n            return Tensor.bufferToTensor(data, tensorConfig);\n        }\n        else {\n            throw new Error('Input data provided is not supported - aborted tensor creation');\n        }\n    }\n    toImageData(options) {\n        var _a, _b;\n        const pixels2DContext = document.createElement('canvas').getContext('2d');\n        let image;\n        if (pixels2DContext != null) {\n            // Default values for height and width & format\n            const width = this.dims[3];\n            const height = this.dims[2];\n            const channels = this.dims[1];\n            const inputformat = options !== undefined ? (options.format !== undefined ? options.format : 'RGB') : 'RGB';\n            const normMean = options !== undefined ? (((_a = options.norm) === null || _a === void 0 ? void 0 : _a.mean) !== undefined ? options.norm.mean : 255) : 255;\n            const normBias = options !== undefined ? (((_b = options.norm) === null || _b === void 0 ? void 0 : _b.bias) !== undefined ? options.norm.bias : 0) : 0;\n            const offset = height * width;\n            if (options !== undefined) {\n                if (options.height !== undefined && options.height !== height) {\n                    throw new Error('Image output config height doesn\\'t match tensor height');\n                }\n                if (options.width !== undefined && options.width !== width) {\n                    throw new Error('Image output config width doesn\\'t match tensor width');\n                }\n                if (options.format !== undefined && (channels === 4 && options.format !== 'RGBA') ||\n                    (channels === 3 && (options.format !== 'RGB' && options.format !== 'BGR'))) {\n                    throw new Error('Tensor format doesn\\'t match input tensor dims');\n                }\n            }\n            // Default pointer assignments\n            const step = 4;\n            let rImagePointer = 0, gImagePointer = 1, bImagePointer = 2, aImagePointer = 3;\n            let rTensorPointer = 0, gTensorPointer = offset, bTensorPointer = offset * 2, aTensorPointer = -1;\n            // Updating the pointer assignments based on the input image format\n            if (inputformat === 'RGBA') {\n                rTensorPointer = 0;\n                gTensorPointer = offset;\n                bTensorPointer = offset * 2;\n                aTensorPointer = offset * 3;\n            }\n            else if (inputformat === 'RGB') {\n                rTensorPointer = 0;\n                gTensorPointer = offset;\n                bTensorPointer = offset * 2;\n            }\n            else if (inputformat === 'RBG') {\n                rTensorPointer = 0;\n                bTensorPointer = offset;\n                gTensorPointer = offset * 2;\n            }\n            image = pixels2DContext.createImageData(width, height);\n            for (let i = 0; i < height * width; rImagePointer += step, gImagePointer += step, bImagePointer += step, aImagePointer += step, i++) {\n                image.data[rImagePointer] = (this.data[rTensorPointer++] - normBias) * normMean; // R value\n                image.data[gImagePointer] = (this.data[gTensorPointer++] - normBias) * normMean; // G value\n                image.data[bImagePointer] = (this.data[bTensorPointer++] - normBias) * normMean; // B value\n                image.data[aImagePointer] =\n                    aTensorPointer === -1 ? 255 : (this.data[aTensorPointer++] - normBias) * normMean; // A value\n            }\n        }\n        else {\n            throw new Error('Can not access image data');\n        }\n        return image;\n    }\n    // #endregion\n    // #region tensor utilities\n    reshape(dims) {\n        return new Tensor(this.type, this.data, dims);\n    }\n}\n//# sourceMappingURL=tensor-impl.js.map","// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nimport { Tensor as TensorImpl } from './tensor-impl';\n// eslint-disable-next-line @typescript-eslint/naming-convention\nexport const Tensor = TensorImpl;\n//# sourceMappingURL=tensor.js.map","// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nimport { resolveBackend } from './backend-impl';\nimport { Tensor } from './tensor';\nexport class InferenceSession {\n    constructor(handler) {\n        this.handler = handler;\n    }\n    async run(feeds, arg1, arg2) {\n        const fetches = {};\n        let options = {};\n        // check inputs\n        if (typeof feeds !== 'object' || feeds === null || feeds instanceof Tensor || Array.isArray(feeds)) {\n            throw new TypeError('\\'feeds\\' must be an object that use input names as keys and OnnxValue as corresponding values.');\n        }\n        let isFetchesEmpty = true;\n        // determine which override is being used\n        if (typeof arg1 === 'object') {\n            if (arg1 === null) {\n                throw new TypeError('Unexpected argument[1]: cannot be null.');\n            }\n            if (arg1 instanceof Tensor) {\n                throw new TypeError('\\'fetches\\' cannot be a Tensor');\n            }\n            if (Array.isArray(arg1)) {\n                if (arg1.length === 0) {\n                    throw new TypeError('\\'fetches\\' cannot be an empty array.');\n                }\n                isFetchesEmpty = false;\n                // output names\n                for (const name of arg1) {\n                    if (typeof name !== 'string') {\n                        throw new TypeError('\\'fetches\\' must be a string array or an object.');\n                    }\n                    if (this.outputNames.indexOf(name) === -1) {\n                        throw new RangeError(`'fetches' contains invalid output name: ${name}.`);\n                    }\n                    fetches[name] = null;\n                }\n                if (typeof arg2 === 'object' && arg2 !== null) {\n                    options = arg2;\n                }\n                else if (typeof arg2 !== 'undefined') {\n                    throw new TypeError('\\'options\\' must be an object.');\n                }\n            }\n            else {\n                // decide whether arg1 is fetches or options\n                // if any output name is present and its value is valid OnnxValue, we consider it fetches\n                let isFetches = false;\n                const arg1Keys = Object.getOwnPropertyNames(arg1);\n                for (const name of this.outputNames) {\n                    if (arg1Keys.indexOf(name) !== -1) {\n                        const v = arg1[name];\n                        if (v === null || v instanceof Tensor) {\n                            isFetches = true;\n                            isFetchesEmpty = false;\n                            fetches[name] = v;\n                        }\n                    }\n                }\n                if (isFetches) {\n                    if (typeof arg2 === 'object' && arg2 !== null) {\n                        options = arg2;\n                    }\n                    else if (typeof arg2 !== 'undefined') {\n                        throw new TypeError('\\'options\\' must be an object.');\n                    }\n                }\n                else {\n                    options = arg1;\n                }\n            }\n        }\n        else if (typeof arg1 !== 'undefined') {\n            throw new TypeError('Unexpected argument[1]: must be \\'fetches\\' or \\'options\\'.');\n        }\n        // check if all inputs are in feed\n        for (const name of this.inputNames) {\n            if (typeof feeds[name] === 'undefined') {\n                throw new Error(`input '${name}' is missing in 'feeds'.`);\n            }\n        }\n        // if no fetches is specified, we use the full output names list\n        if (isFetchesEmpty) {\n            for (const name of this.outputNames) {\n                fetches[name] = null;\n            }\n        }\n        // feeds, fetches and options are prepared\n        const results = await this.handler.run(feeds, fetches, options);\n        const returnValue = {};\n        for (const key in results) {\n            if (Object.hasOwnProperty.call(results, key)) {\n                returnValue[key] = new Tensor(results[key].type, results[key].data, results[key].dims);\n            }\n        }\n        return returnValue;\n    }\n    static async create(arg0, arg1, arg2, arg3) {\n        // either load from a file or buffer\n        let filePathOrUint8Array;\n        let options = {};\n        if (typeof arg0 === 'string') {\n            filePathOrUint8Array = arg0;\n            if (typeof arg1 === 'object' && arg1 !== null) {\n                options = arg1;\n            }\n            else if (typeof arg1 !== 'undefined') {\n                throw new TypeError('\\'options\\' must be an object.');\n            }\n        }\n        else if (arg0 instanceof Uint8Array) {\n            filePathOrUint8Array = arg0;\n            if (typeof arg1 === 'object' && arg1 !== null) {\n                options = arg1;\n            }\n           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e=this.high>>>16,n=65535&this.high,i=this.low>>>16,o=65535&this.low,a=t.high>>>16,s=65535&t.high,c=t.low>>>16,l=0,f=0,d=0,h=0;return d+=(h+=o+(65535&t.low))>>>16,f+=(d+=i+c)>>>16,l+=(f+=n+s)>>>16,l+=e+a,u((d&=65535)<<16|(h&=65535),(l&=65535)<<16|(f&=65535),this.unsigned)},S.subtract=function(t){return r(t)||(t=p(t)),this.add(t.neg())},S.sub=S.subtract,S.multiply=function(t){if(this.isZero())return b;if(r(t)||(t=p(t)),e)return u(e.mul(this.low,this.high,t.low,t.high),e.get_high(),this.unsigned);if(t.isZero())return b;if(this.eq(T))return t.isOdd()?T:b;if(t.eq(T))return this.isOdd()?T:b;if(this.isNegative())return t.isNegative()?this.neg().mul(t.neg()):this.neg().mul(t).neg();if(t.isNegative())return this.mul(t.neg()).neg();if(this.lt(g)&&t.lt(g))return s(this.toNumber()*t.toNumber(),this.unsigned);var n=this.high>>>16,i=65535&this.high,o=this.low>>>16,a=65535&this.low,c=t.high>>>16,l=65535&t.high,f=t.low>>>16,d=65535&t.low,h=0,m=0,y=0,_=0;return y+=(_+=a*d)>>>16,m+=(y+=o*d)>>>16,y&=65535,m+=(y+=a*f)>>>16,h+=(m+=i*d)>>>16,m&=65535,h+=(m+=o*f)>>>16,m&=65535,h+=(m+=a*l)>>>16,h+=n*d+i*f+o*l+a*c,u((y&=65535)<<16|(_&=65535),(h&=65535)<<16|(m&=65535),this.unsigned)},S.mul=S.multiply,S.divide=function(t){if(r(t)||(t=p(t)),t.isZero())throw Error(\"division by zero\");var n,i,o;if(e)return this.unsigned||-2147483648!==this.high||-1!==t.low||-1!==t.high?u((this.unsigned?e.div_u:e.div_s)(this.low,this.high,t.low,t.high),e.get_high(),this.unsigned):this;if(this.isZero())return this.unsigned?m:b;if(this.unsigned){if(t.unsigned||(t=t.toUnsigned()),t.gt(this))return m;if(t.gt(this.shru(1)))return _;o=m}else{if(this.eq(T))return t.eq(y)||t.eq(v)?T:t.eq(T)?y:(n=this.shr(1).div(t).shl(1)).eq(b)?t.isNegative()?y:v:(i=this.sub(t.mul(n)),o=n.add(i.div(t)));if(t.eq(T))return this.unsigned?m:b;if(this.isNegative())return t.isNegative()?this.neg().div(t.neg()):this.neg().div(t).neg();if(t.isNegative())return this.div(t.neg()).neg();o=b}for(i=this;i.gte(t);){n=Math.max(1,Math.floor(i.toNumber()/t.toNumber()));for(var a=Math.ceil(Math.log(n)/Math.LN2),l=a<=48?1:c(2,a-48),f=s(n),d=f.mul(t);d.isNegative()||d.gt(i);)d=(f=s(n-=l,this.unsigned)).mul(t);f.isZero()&&(f=y),o=o.add(f),i=i.sub(d)}return o},S.div=S.divide,S.modulo=function(t){return r(t)||(t=p(t)),e?u((this.unsigned?e.rem_u:e.rem_s)(this.low,this.high,t.low,t.high),e.get_high(),this.unsigned):this.sub(this.div(t).mul(t))},S.mod=S.modulo,S.rem=S.modulo,S.not=function(){return u(~this.low,~this.high,this.unsigned)},S.and=function(t){return r(t)||(t=p(t)),u(this.low&t.low,this.high&t.high,this.unsigned)},S.or=function(t){return r(t)||(t=p(t)),u(this.low|t.low,this.high|t.high,this.unsigned)},S.xor=function(t){return r(t)||(t=p(t)),u(this.low^t.low,this.high^t.high,this.unsigned)},S.shiftLeft=function(t){return r(t)&&(t=t.toInt()),0==(t&=63)?this:t<32?u(this.low<<t,this.high<<t|this.low>>>32-t,this.unsigned):u(0,this.low<<t-32,this.unsigned)},S.shl=S.shiftLeft,S.shiftRight=function(t){return r(t)&&(t=t.toInt()),0==(t&=63)?this:t<32?u(this.low>>>t|this.high<<32-t,this.high>>t,this.unsigned):u(this.high>>t-32,this.high>=0?0:-1,this.unsigned)},S.shr=S.shiftRight,S.shiftRightUnsigned=function(t){if(r(t)&&(t=t.toInt()),0==(t&=63))return this;var e=this.high;return t<32?u(this.low>>>t|e<<32-t,e>>>t,this.unsigned):u(32===t?e:e>>>t-32,0,this.unsigned)},S.shru=S.shiftRightUnsigned,S.shr_u=S.shiftRightUnsigned,S.toSigned=function(){return this.unsigned?u(this.low,this.high,!1):this},S.toUnsigned=function(){return this.unsigned?this:u(this.low,this.high,!0)},S.toBytes=function(t){return t?this.toBytesLE():this.toBytesBE()},S.toBytesLE=function(){var t=this.high,e=this.low;return[255&e,e>>>8&255,e>>>16&255,e>>>24,255&t,t>>>8&255,t>>>16&255,t>>>24]},S.toBytesBE=function(){var t=this.high,e=this.low;return[t>>>24,t>>>16&255,t>>>8&255,255&t,e>>>24,e>>>16&255,e>>>8&255,255&e]},n.fromBytes=function(t,e,r){return r?n.fromBytesLE(t,e):n.fromBytesBE(t,e)},n.fromBytesLE=function(t,e){return new n(t[0]|t[1]<<8|t[2]<<16|t[3]<<24,t[4]|t[5]<<8|t[6]<<16|t[7]<<24,e)},n.fromBytesBE=function(t,e){return new n(t[4]<<24|t[5]<<16|t[6]<<8|t[7],t[0]<<24|t[1]<<16|t[2]<<8|t[3],e)}},1446:(t,e,n)=>{\"use strict\";var r,i,o,a=n(2100),s=a.Reader,u=a.Writer,c=a.util,l=a.roots.default||(a.roots.default={});l.onnx=((o={}).Version=(r={},(i=Object.create(r))[r[0]=\"_START_VERSION\"]=0,i[r[1]=\"IR_VERSION_2017_10_10\"]=1,i[r[2]=\"IR_VERSION_2017_10_30\"]=2,i[r[3]=\"IR_VERSION_2017_11_3\"]=3,i[r[4]=\"IR_VERSION_2019_1_22\"]=4,i[r[5]=\"IR_VERSION\"]=5,i),o.AttributeProto=function(){function t(t){if(this.floats=[],this.ints=[],this.strings=[],this.tensors=[],this.graphs=[],t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.name=\"\",t.prototype.refAttrName=\"\",t.prototype.docString=\"\",t.prototype.type=0,t.prototype.f=0,t.prototype.i=c.Long?c.Long.fromBits(0,0,!1):0,t.prototype.s=c.newBuffer([]),t.prototype.t=null,t.prototype.g=null,t.prototype.floats=c.emptyArray,t.prototype.ints=c.emptyArray,t.prototype.strings=c.emptyArray,t.prototype.tensors=c.emptyArray,t.prototype.graphs=c.emptyArray,t.create=function(e){return new t(e)},t.encode=function(t,e){if(e||(e=u.create()),null!=t.name&&t.hasOwnProperty(\"name\")&&e.uint32(10).string(t.name),null!=t.f&&t.hasOwnProperty(\"f\")&&e.uint32(21).float(t.f),null!=t.i&&t.hasOwnProperty(\"i\")&&e.uint32(24).int64(t.i),null!=t.s&&t.hasOwnProperty(\"s\")&&e.uint32(34).bytes(t.s),null!=t.t&&t.hasOwnProperty(\"t\")&&l.onnx.TensorProto.encode(t.t,e.uint32(42).fork()).ldelim(),null!=t.g&&t.hasOwnProperty(\"g\")&&l.onnx.GraphProto.encode(t.g,e.uint32(50).fork()).ldelim(),null!=t.floats&&t.floats.length){e.uint32(58).fork();for(var n=0;n<t.floats.length;++n)e.float(t.floats[n]);e.ldelim()}if(null!=t.ints&&t.ints.length){for(e.uint32(66).fork(),n=0;n<t.ints.length;++n)e.int64(t.ints[n]);e.ldelim()}if(null!=t.strings&&t.strings.length)for(n=0;n<t.strings.length;++n)e.uint32(74).bytes(t.strings[n]);if(null!=t.tensors&&t.tensors.length)for(n=0;n<t.tensors.length;++n)l.onnx.TensorProto.encode(t.tensors[n],e.uint32(82).fork()).ldelim();if(null!=t.graphs&&t.graphs.length)for(n=0;n<t.graphs.length;++n)l.onnx.GraphProto.encode(t.graphs[n],e.uint32(90).fork()).ldelim();return null!=t.docString&&t.hasOwnProperty(\"docString\")&&e.uint32(106).string(t.docString),null!=t.type&&t.hasOwnProperty(\"type\")&&e.uint32(160).int32(t.type),null!=t.refAttrName&&t.hasOwnProperty(\"refAttrName\")&&e.uint32(170).string(t.refAttrName),e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof s||(t=s.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new l.onnx.AttributeProto;t.pos<n;){var i=t.uint32();switch(i>>>3){case 1:r.name=t.string();break;case 21:r.refAttrName=t.string();break;case 13:r.docString=t.string();break;case 20:r.type=t.int32();break;case 2:r.f=t.float();break;case 3:r.i=t.int64();break;case 4:r.s=t.bytes();break;case 5:r.t=l.onnx.TensorProto.decode(t,t.uint32());break;case 6:r.g=l.onnx.GraphProto.decode(t,t.uint32());break;case 7:if(r.floats&&r.floats.length||(r.floats=[]),2==(7&i))for(var o=t.uint32()+t.pos;t.pos<o;)r.floats.push(t.float());else r.floats.push(t.float());break;case 8:if(r.ints&&r.ints.length||(r.ints=[]),2==(7&i))for(o=t.uint32()+t.pos;t.pos<o;)r.ints.push(t.int64());else r.ints.push(t.int64());break;case 9:r.strings&&r.strings.length||(r.strings=[]),r.strings.push(t.bytes());break;case 10:r.tensors&&r.tensors.length||(r.tensors=[]),r.tensors.push(l.onnx.TensorProto.decode(t,t.uint32()));break;case 11:r.graphs&&r.graphs.length||(r.graphs=[]),r.graphs.push(l.onnx.GraphProto.decode(t,t.uint32()));break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof s||(t=new s(t)),this.decode(t,t.uint32())},t.verify=function(t){if(\"object\"!=typeof t||null===t)return\"object expected\";if(null!=t.name&&t.hasOwnProperty(\"name\")&&!c.isString(t.name))return\"name: string expected\";if(null!=t.refAttrName&&t.hasOwnProperty(\"refAttrName\")&&!c.isString(t.refAttrName))return\"refAttrName: string expected\";if(null!=t.docString&&t.hasOwnProperty(\"docString\")&&!c.isString(t.docString))return\"docString: string expected\";if(null!=t.type&&t.hasOwnProperty(\"type\"))switch(t.type){default:return\"type: enum value expected\";case 0:case 1:case 2:case 3:case 4:case 5:case 6:case 7:case 8:case 9:case 10:}if(null!=t.f&&t.hasOwnProperty(\"f\")&&\"number\"!=typeof t.f)return\"f: number expected\";if(null!=t.i&&t.hasOwnProperty(\"i\")&&!(c.isInteger(t.i)||t.i&&c.isInteger(t.i.low)&&c.isInteger(t.i.high)))return\"i: integer|Long expected\";if(null!=t.s&&t.hasOwnProperty(\"s\")&&!(t.s&&\"number\"==typeof t.s.length||c.isString(t.s)))return\"s: buffer expected\";if(null!=t.t&&t.hasOwnProperty(\"t\")&&(n=l.onnx.TensorProto.verify(t.t)))return\"t.\"+n;if(null!=t.g&&t.hasOwnProperty(\"g\")&&(n=l.onnx.GraphProto.verify(t.g)))return\"g.\"+n;if(null!=t.floats&&t.hasOwnProperty(\"floats\")){if(!Array.isArray(t.floats))return\"floats: array expected\";for(var e=0;e<t.floats.length;++e)if(\"number\"!=typeof t.floats[e])return\"floats: number[] expected\"}if(null!=t.ints&&t.hasOwnProperty(\"ints\")){if(!Array.isArray(t.ints))return\"ints: array expected\";for(e=0;e<t.ints.length;++e)if(!(c.isInteger(t.ints[e])||t.ints[e]&&c.isInteger(t.ints[e].low)&&c.isInteger(t.ints[e].high)))return\"ints: integer|Long[] expected\"}if(null!=t.strings&&t.hasOwnProperty(\"strings\")){if(!Array.isArray(t.strings))return\"strings: array expected\";for(e=0;e<t.strings.length;++e)if(!(t.strings[e]&&\"number\"==typeof t.strings[e].length||c.isString(t.strings[e])))return\"strings: buffer[] expected\"}if(null!=t.tensors&&t.hasOwnProperty(\"tensors\")){if(!Array.isArray(t.tensors))return\"tensors: array expected\";for(e=0;e<t.tensors.length;++e)if(n=l.onnx.TensorProto.verify(t.tensors[e]))return\"tensors.\"+n}if(null!=t.graphs&&t.hasOwnProperty(\"graphs\")){if(!Array.isArray(t.graphs))return\"graphs: array expected\";for(e=0;e<t.graphs.length;++e){var n;if(n=l.onnx.GraphProto.verify(t.graphs[e]))return\"graphs.\"+n}}return null},t.fromObject=function(t){if(t instanceof l.onnx.AttributeProto)return t;var e=new l.onnx.AttributeProto;switch(null!=t.name&&(e.name=String(t.name)),null!=t.refAttrName&&(e.refAttrName=String(t.refAttrName)),null!=t.docString&&(e.docString=String(t.docString)),t.type){case\"UNDEFINED\":case 0:e.type=0;break;case\"FLOAT\":case 1:e.type=1;break;case\"INT\":case 2:e.type=2;break;case\"STRING\":case 3:e.type=3;break;case\"TENSOR\":case 4:e.type=4;break;case\"GRAPH\":case 5:e.type=5;break;case\"FLOATS\":case 6:e.type=6;break;case\"INTS\":case 7:e.type=7;break;case\"STRINGS\":case 8:e.type=8;break;case\"TENSORS\":case 9:e.type=9;break;case\"GRAPHS\":case 10:e.type=10}if(null!=t.f&&(e.f=Number(t.f)),null!=t.i&&(c.Long?(e.i=c.Long.fromValue(t.i)).unsigned=!1:\"string\"==typeof t.i?e.i=parseInt(t.i,10):\"number\"==typeof t.i?e.i=t.i:\"object\"==typeof t.i&&(e.i=new c.LongBits(t.i.low>>>0,t.i.high>>>0).toNumber())),null!=t.s&&(\"string\"==typeof t.s?c.base64.decode(t.s,e.s=c.newBuffer(c.base64.length(t.s)),0):t.s.length&&(e.s=t.s)),null!=t.t){if(\"object\"!=typeof t.t)throw TypeError(\".onnx.AttributeProto.t: object expected\");e.t=l.onnx.TensorProto.fromObject(t.t)}if(null!=t.g){if(\"object\"!=typeof t.g)throw TypeError(\".onnx.AttributeProto.g: object expected\");e.g=l.onnx.GraphProto.fromObject(t.g)}if(t.floats){if(!Array.isArray(t.floats))throw TypeError(\".onnx.AttributeProto.floats: array expected\");e.floats=[];for(var n=0;n<t.floats.length;++n)e.floats[n]=Number(t.floats[n])}if(t.ints){if(!Array.isArray(t.ints))throw TypeError(\".onnx.AttributeProto.ints: array expected\");for(e.ints=[],n=0;n<t.ints.length;++n)c.Long?(e.ints[n]=c.Long.fromValue(t.ints[n])).unsigned=!1:\"string\"==typeof t.ints[n]?e.ints[n]=parseInt(t.ints[n],10):\"number\"==typeof t.ints[n]?e.ints[n]=t.ints[n]:\"object\"==typeof t.ints[n]&&(e.ints[n]=new c.LongBits(t.ints[n].low>>>0,t.ints[n].high>>>0).toNumber())}if(t.strings){if(!Array.isArray(t.strings))throw TypeError(\".onnx.AttributeProto.strings: array expected\");for(e.strings=[],n=0;n<t.strings.length;++n)\"string\"==typeof t.strings[n]?c.base64.decode(t.strings[n],e.strings[n]=c.newBuffer(c.base64.length(t.strings[n])),0):t.strings[n].length&&(e.strings[n]=t.strings[n])}if(t.tensors){if(!Array.isArray(t.tensors))throw TypeError(\".onnx.AttributeProto.tensors: array expected\");for(e.tensors=[],n=0;n<t.tensors.length;++n){if(\"object\"!=typeof t.tensors[n])throw TypeError(\".onnx.AttributeProto.tensors: object expected\");e.tensors[n]=l.onnx.TensorProto.fromObject(t.tensors[n])}}if(t.graphs){if(!Array.isArray(t.graphs))throw TypeError(\".onnx.AttributeProto.graphs: array expected\");for(e.graphs=[],n=0;n<t.graphs.length;++n){if(\"object\"!=typeof t.graphs[n])throw TypeError(\".onnx.AttributeProto.graphs: object expected\");e.graphs[n]=l.onnx.GraphProto.fromObject(t.graphs[n])}}return e},t.toObject=function(t,e){e||(e={});var n={};if((e.arrays||e.defaults)&&(n.floats=[],n.ints=[],n.strings=[],n.tensors=[],n.graphs=[]),e.defaults){if(n.name=\"\",n.f=0,c.Long){var r=new c.Long(0,0,!1);n.i=e.longs===String?r.toString():e.longs===Number?r.toNumber():r}else n.i=e.longs===String?\"0\":0;e.bytes===String?n.s=\"\":(n.s=[],e.bytes!==Array&&(n.s=c.newBuffer(n.s))),n.t=null,n.g=null,n.docString=\"\",n.type=e.enums===String?\"UNDEFINED\":0,n.refAttrName=\"\"}if(null!=t.name&&t.hasOwnProperty(\"name\")&&(n.name=t.name),null!=t.f&&t.hasOwnProperty(\"f\")&&(n.f=e.json&&!isFinite(t.f)?String(t.f):t.f),null!=t.i&&t.hasOwnProperty(\"i\")&&(\"number\"==typeof t.i?n.i=e.longs===String?String(t.i):t.i:n.i=e.longs===String?c.Long.prototype.toString.call(t.i):e.longs===Number?new c.LongBits(t.i.low>>>0,t.i.high>>>0).toNumber():t.i),null!=t.s&&t.hasOwnProperty(\"s\")&&(n.s=e.bytes===String?c.base64.encode(t.s,0,t.s.length):e.bytes===Array?Array.prototype.slice.call(t.s):t.s),null!=t.t&&t.hasOwnProperty(\"t\")&&(n.t=l.onnx.TensorProto.toObject(t.t,e)),null!=t.g&&t.hasOwnProperty(\"g\")&&(n.g=l.onnx.GraphProto.toObject(t.g,e)),t.floats&&t.floats.length){n.floats=[];for(var i=0;i<t.floats.length;++i)n.floats[i]=e.json&&!isFinite(t.floats[i])?String(t.floats[i]):t.floats[i]}if(t.ints&&t.ints.length)for(n.ints=[],i=0;i<t.ints.length;++i)\"number\"==typeof t.ints[i]?n.ints[i]=e.longs===String?String(t.ints[i]):t.ints[i]:n.ints[i]=e.longs===String?c.Long.prototype.toString.call(t.ints[i]):e.longs===Number?new c.LongBits(t.ints[i].low>>>0,t.ints[i].high>>>0).toNumber():t.ints[i];if(t.strings&&t.strings.length)for(n.strings=[],i=0;i<t.strings.length;++i)n.strings[i]=e.bytes===String?c.base64.encode(t.strings[i],0,t.strings[i].length):e.bytes===Array?Array.prototype.slice.call(t.strings[i]):t.strings[i];if(t.tensors&&t.tensors.length)for(n.tensors=[],i=0;i<t.tensors.length;++i)n.tensors[i]=l.onnx.TensorProto.toObject(t.tensors[i],e);if(t.graphs&&t.graphs.length)for(n.graphs=[],i=0;i<t.graphs.length;++i)n.graphs[i]=l.onnx.GraphProto.toObject(t.graphs[i],e);return null!=t.docString&&t.hasOwnProperty(\"docString\")&&(n.docString=t.docString),null!=t.type&&t.hasOwnProperty(\"type\")&&(n.type=e.enums===String?l.onnx.AttributeProto.AttributeType[t.type]:t.type),null!=t.refAttrName&&t.hasOwnProperty(\"refAttrName\")&&(n.refAttrName=t.refAttrName),n},t.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},t.AttributeType=function(){var t={},e=Object.create(t);return e[t[0]=\"UNDEFINED\"]=0,e[t[1]=\"FLOAT\"]=1,e[t[2]=\"INT\"]=2,e[t[3]=\"STRING\"]=3,e[t[4]=\"TENSOR\"]=4,e[t[5]=\"GRAPH\"]=5,e[t[6]=\"FLOATS\"]=6,e[t[7]=\"INTS\"]=7,e[t[8]=\"STRINGS\"]=8,e[t[9]=\"TENSORS\"]=9,e[t[10]=\"GRAPHS\"]=10,e}(),t}(),o.ValueInfoProto=function(){function t(t){if(t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.name=\"\",t.prototype.type=null,t.prototype.docString=\"\",t.create=function(e){return new t(e)},t.encode=function(t,e){return e||(e=u.create()),null!=t.name&&t.hasOwnProperty(\"name\")&&e.uint32(10).string(t.name),null!=t.type&&t.hasOwnProperty(\"type\")&&l.onnx.TypeProto.encode(t.type,e.uint32(18).fork()).ldelim(),null!=t.docString&&t.hasOwnProperty(\"docString\")&&e.uint32(26).string(t.docString),e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof s||(t=s.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new l.onnx.ValueInfoProto;t.pos<n;){var i=t.uint32();switch(i>>>3){case 1:r.name=t.string();break;case 2:r.type=l.onnx.TypeProto.decode(t,t.uint32());break;case 3:r.docString=t.string();break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof s||(t=new s(t)),this.decode(t,t.uint32())},t.verify=function(t){if(\"object\"!=typeof t||null===t)return\"object expected\";if(null!=t.name&&t.hasOwnProperty(\"name\")&&!c.isString(t.name))return\"name: string expected\";if(null!=t.type&&t.hasOwnProperty(\"type\")){var e=l.onnx.TypeProto.verify(t.type);if(e)return\"type.\"+e}return null!=t.docString&&t.hasOwnProperty(\"docString\")&&!c.isString(t.docString)?\"docString: string expected\":null},t.fromObject=function(t){if(t instanceof l.onnx.ValueInfoProto)return t;var e=new l.onnx.ValueInfoProto;if(null!=t.name&&(e.name=String(t.name)),null!=t.type){if(\"object\"!=typeof t.type)throw TypeError(\".onnx.ValueInfoProto.type: object expected\");e.type=l.onnx.TypeProto.fromObject(t.type)}return null!=t.docString&&(e.docString=String(t.docString)),e},t.toObject=function(t,e){e||(e={});var n={};return e.defaults&&(n.name=\"\",n.type=null,n.docString=\"\"),null!=t.name&&t.hasOwnProperty(\"name\")&&(n.name=t.name),null!=t.type&&t.hasOwnProperty(\"type\")&&(n.type=l.onnx.TypeProto.toObject(t.type,e)),null!=t.docString&&t.hasOwnProperty(\"docString\")&&(n.docString=t.docString),n},t.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},t}(),o.NodeProto=function(){function t(t){if(this.input=[],this.output=[],this.attribute=[],t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.input=c.emptyArray,t.prototype.output=c.emptyArray,t.prototype.name=\"\",t.prototype.opType=\"\",t.prototype.domain=\"\",t.prototype.attribute=c.emptyArray,t.prototype.docString=\"\",t.create=function(e){return new t(e)},t.encode=function(t,e){if(e||(e=u.create()),null!=t.input&&t.input.length)for(var n=0;n<t.input.length;++n)e.uint32(10).string(t.input[n]);if(null!=t.output&&t.output.length)for(n=0;n<t.output.length;++n)e.uint32(18).string(t.output[n]);if(null!=t.name&&t.hasOwnProperty(\"name\")&&e.uint32(26).string(t.name),null!=t.opType&&t.hasOwnProperty(\"opType\")&&e.uint32(34).string(t.opType),null!=t.attribute&&t.attribute.length)for(n=0;n<t.attribute.length;++n)l.onnx.AttributeProto.encode(t.attribute[n],e.uint32(42).fork()).ldelim();return null!=t.docString&&t.hasOwnProperty(\"docString\")&&e.uint32(50).string(t.docString),null!=t.domain&&t.hasOwnProperty(\"domain\")&&e.uint32(58).string(t.domain),e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof s||(t=s.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new l.onnx.NodeProto;t.pos<n;){var i=t.uint32();switch(i>>>3){case 1:r.input&&r.input.length||(r.input=[]),r.input.push(t.string());break;case 2:r.output&&r.output.length||(r.output=[]),r.output.push(t.string());break;case 3:r.name=t.string();break;case 4:r.opType=t.string();break;case 7:r.domain=t.string();break;case 5:r.attribute&&r.attribute.length||(r.attribute=[]),r.attribute.push(l.onnx.AttributeProto.decode(t,t.uint32()));break;case 6:r.docString=t.string();break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof s||(t=new s(t)),this.decode(t,t.uint32())},t.verify=function(t){if(\"object\"!=typeof t||null===t)return\"object 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null!=t.docString&&t.hasOwnProperty(\"docString\")&&!c.isString(t.docString)?\"docString: string expected\":null},t.fromObject=function(t){if(t instanceof l.onnx.NodeProto)return t;var e=new l.onnx.NodeProto;if(t.input){if(!Array.isArray(t.input))throw TypeError(\".onnx.NodeProto.input: array expected\");e.input=[];for(var n=0;n<t.input.length;++n)e.input[n]=String(t.input[n])}if(t.output){if(!Array.isArray(t.output))throw TypeError(\".onnx.NodeProto.output: array expected\");for(e.output=[],n=0;n<t.output.length;++n)e.output[n]=String(t.output[n])}if(null!=t.name&&(e.name=String(t.name)),null!=t.opType&&(e.opType=String(t.opType)),null!=t.domain&&(e.domain=String(t.domain)),t.attribute){if(!Array.isArray(t.attribute))throw TypeError(\".onnx.NodeProto.attribute: array expected\");for(e.attribute=[],n=0;n<t.attribute.length;++n){if(\"object\"!=typeof t.attribute[n])throw TypeError(\".onnx.NodeProto.attribute: object 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this.constructor.toObject(this,a.util.toJSONOptions)},t}(),o.ModelProto=function(){function t(t){if(this.opsetImport=[],this.metadataProps=[],t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.irVersion=c.Long?c.Long.fromBits(0,0,!1):0,t.prototype.opsetImport=c.emptyArray,t.prototype.producerName=\"\",t.prototype.producerVersion=\"\",t.prototype.domain=\"\",t.prototype.modelVersion=c.Long?c.Long.fromBits(0,0,!1):0,t.prototype.docString=\"\",t.prototype.graph=null,t.prototype.metadataProps=c.emptyArray,t.create=function(e){return new t(e)},t.encode=function(t,e){if(e||(e=u.create()),null!=t.irVersion&&t.hasOwnProperty(\"irVersion\")&&e.uint32(8).int64(t.irVersion),null!=t.producerName&&t.hasOwnProperty(\"producerName\")&&e.uint32(18).string(t.producerName),null!=t.producerVersion&&t.hasOwnProperty(\"producerVersion\")&&e.uint32(26).string(t.producerVersion),null!=t.domain&&t.hasOwnProperty(\"domain\")&&e.uint32(34).string(t.domain),null!=t.modelVersion&&t.hasOwnProperty(\"modelVersion\")&&e.uint32(40).int64(t.modelVersion),null!=t.docString&&t.hasOwnProperty(\"docString\")&&e.uint32(50).string(t.docString),null!=t.graph&&t.hasOwnProperty(\"graph\")&&l.onnx.GraphProto.encode(t.graph,e.uint32(58).fork()).ldelim(),null!=t.opsetImport&&t.opsetImport.length)for(var n=0;n<t.opsetImport.length;++n)l.onnx.OperatorSetIdProto.encode(t.opsetImport[n],e.uint32(66).fork()).ldelim();if(null!=t.metadataProps&&t.metadataProps.length)for(n=0;n<t.metadataProps.length;++n)l.onnx.StringStringEntryProto.encode(t.metadataProps[n],e.uint32(114).fork()).ldelim();return e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof s||(t=s.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new l.onnx.ModelProto;t.pos<n;){var i=t.uint32();switch(i>>>3){case 1:r.irVersion=t.int64();break;case 8:r.opsetImport&&r.opsetImport.length||(r.opsetImport=[]),r.opsetImport.push(l.onnx.OperatorSetIdProto.decode(t,t.uint32()));break;case 2:r.producerName=t.string();break;case 3:r.producerVersion=t.string();break;case 4:r.domain=t.string();break;case 5:r.modelVersion=t.int64();break;case 6:r.docString=t.string();break;case 7:r.graph=l.onnx.GraphProto.decode(t,t.uint32());break;case 14:r.metadataProps&&r.metadataProps.length||(r.metadataProps=[]),r.metadataProps.push(l.onnx.StringStringEntryProto.decode(t,t.uint32()));break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof s||(t=new s(t)),this.decode(t,t.uint32())},t.verify=function(t){if(\"object\"!=typeof t||null===t)return\"object expected\";if(null!=t.irVersion&&t.hasOwnProperty(\"irVersion\")&&!(c.isInteger(t.irVersion)||t.irVersion&&c.isInteger(t.irVersion.low)&&c.isInteger(t.irVersion.high)))return\"irVersion: integer|Long expected\";if(null!=t.opsetImport&&t.hasOwnProperty(\"opsetImport\")){if(!Array.isArray(t.opsetImport))return\"opsetImport: array expected\";for(var e=0;e<t.opsetImport.length;++e)if(n=l.onnx.OperatorSetIdProto.verify(t.opsetImport[e]))return\"opsetImport.\"+n}if(null!=t.producerName&&t.hasOwnProperty(\"producerName\")&&!c.isString(t.producerName))return\"producerName: string expected\";if(null!=t.producerVersion&&t.hasOwnProperty(\"producerVersion\")&&!c.isString(t.producerVersion))return\"producerVersion: string expected\";if(null!=t.domain&&t.hasOwnProperty(\"domain\")&&!c.isString(t.domain))return\"domain: string expected\";if(null!=t.modelVersion&&t.hasOwnProperty(\"modelVersion\")&&!(c.isInteger(t.modelVersion)||t.modelVersion&&c.isInteger(t.modelVersion.low)&&c.isInteger(t.modelVersion.high)))return\"modelVersion: integer|Long expected\";if(null!=t.docString&&t.hasOwnProperty(\"docString\")&&!c.isString(t.docString))return\"docString: string expected\";if(null!=t.graph&&t.hasOwnProperty(\"graph\")&&(n=l.onnx.GraphProto.verify(t.graph)))return\"graph.\"+n;if(null!=t.metadataProps&&t.hasOwnProperty(\"metadataProps\")){if(!Array.isArray(t.metadataProps))return\"metadataProps: array expected\";for(e=0;e<t.metadataProps.length;++e){var n;if(n=l.onnx.StringStringEntryProto.verify(t.metadataProps[e]))return\"metadataProps.\"+n}}return null},t.fromObject=function(t){if(t instanceof l.onnx.ModelProto)return t;var e=new l.onnx.ModelProto;if(null!=t.irVersion&&(c.Long?(e.irVersion=c.Long.fromValue(t.irVersion)).unsigned=!1:\"string\"==typeof t.irVersion?e.irVersion=parseInt(t.irVersion,10):\"number\"==typeof t.irVersion?e.irVersion=t.irVersion:\"object\"==typeof t.irVersion&&(e.irVersion=new c.LongBits(t.irVersion.low>>>0,t.irVersion.high>>>0).toNumber())),t.opsetImport){if(!Array.isArray(t.opsetImport))throw TypeError(\".onnx.ModelProto.opsetImport: array expected\");e.opsetImport=[];for(var n=0;n<t.opsetImport.length;++n){if(\"object\"!=typeof t.opsetImport[n])throw TypeError(\".onnx.ModelProto.opsetImport: object expected\");e.opsetImport[n]=l.onnx.OperatorSetIdProto.fromObject(t.opsetImport[n])}}if(null!=t.producerName&&(e.producerName=String(t.producerName)),null!=t.producerVersion&&(e.producerVersion=String(t.producerVersion)),null!=t.domain&&(e.domain=String(t.domain)),null!=t.modelVersion&&(c.Long?(e.modelVersion=c.Long.fromValue(t.modelVersion)).unsigned=!1:\"string\"==typeof t.modelVersion?e.modelVersion=parseInt(t.modelVersion,10):\"number\"==typeof t.modelVersion?e.modelVersion=t.modelVersion:\"object\"==typeof t.modelVersion&&(e.modelVersion=new c.LongBits(t.modelVersion.low>>>0,t.modelVersion.high>>>0).toNumber())),null!=t.docString&&(e.docString=String(t.docString)),null!=t.graph){if(\"object\"!=typeof t.graph)throw TypeError(\".onnx.ModelProto.graph: object expected\");e.graph=l.onnx.GraphProto.fromObject(t.graph)}if(t.metadataProps){if(!Array.isArray(t.metadataProps))throw TypeError(\".onnx.ModelProto.metadataProps: array expected\");for(e.metadataProps=[],n=0;n<t.metadataProps.length;++n){if(\"object\"!=typeof t.metadataProps[n])throw TypeError(\".onnx.ModelProto.metadataProps: object expected\");e.metadataProps[n]=l.onnx.StringStringEntryProto.fromObject(t.metadataProps[n])}}return e},t.toObject=function(t,e){e||(e={});var n={};if((e.arrays||e.defaults)&&(n.opsetImport=[],n.metadataProps=[]),e.defaults){if(c.Long){var r=new c.Long(0,0,!1);n.irVersion=e.longs===String?r.toString():e.longs===Number?r.toNumber():r}else n.irVersion=e.longs===String?\"0\":0;n.producerName=\"\",n.producerVersion=\"\",n.domain=\"\",c.Long?(r=new c.Long(0,0,!1),n.modelVersion=e.longs===String?r.toString():e.longs===Number?r.toNumber():r):n.modelVersion=e.longs===String?\"0\":0,n.docString=\"\",n.graph=null}if(null!=t.irVersion&&t.hasOwnProperty(\"irVersion\")&&(\"number\"==typeof t.irVersion?n.irVersion=e.longs===String?String(t.irVersion):t.irVersion:n.irVersion=e.longs===String?c.Long.prototype.toString.call(t.irVersion):e.longs===Number?new c.LongBits(t.irVersion.low>>>0,t.irVersion.high>>>0).toNumber():t.irVersion),null!=t.producerName&&t.hasOwnProperty(\"producerName\")&&(n.producerName=t.producerName),null!=t.producerVersion&&t.hasOwnProperty(\"producerVersion\")&&(n.producerVersion=t.producerVersion),null!=t.domain&&t.hasOwnProperty(\"domain\")&&(n.domain=t.domain),null!=t.modelVersion&&t.hasOwnProperty(\"modelVersion\")&&(\"number\"==typeof t.modelVersion?n.modelVersion=e.longs===String?String(t.modelVersion):t.modelVersion:n.modelVersion=e.longs===String?c.Long.prototype.toString.call(t.modelVersion):e.longs===Number?new c.LongBits(t.modelVersion.low>>>0,t.modelVersion.high>>>0).toNumber():t.modelVersion),null!=t.docString&&t.hasOwnProperty(\"docString\")&&(n.docString=t.docString),null!=t.graph&&t.hasOwnProperty(\"graph\")&&(n.graph=l.onnx.GraphProto.toObject(t.graph,e)),t.opsetImport&&t.opsetImport.length){n.opsetImport=[];for(var i=0;i<t.opsetImport.length;++i)n.opsetImport[i]=l.onnx.OperatorSetIdProto.toObject(t.opsetImport[i],e)}if(t.metadataProps&&t.metadataProps.length)for(n.metadataProps=[],i=0;i<t.metadataProps.length;++i)n.metadataProps[i]=l.onnx.StringStringEntryProto.toObject(t.metadataProps[i],e);return n},t.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},t}(),o.StringStringEntryProto=function(){function t(t){if(t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.key=\"\",t.prototype.value=\"\",t.create=function(e){return new t(e)},t.encode=function(t,e){return e||(e=u.create()),null!=t.key&&t.hasOwnProperty(\"key\")&&e.uint32(10).string(t.key),null!=t.value&&t.hasOwnProperty(\"value\")&&e.uint32(18).string(t.value),e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof s||(t=s.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new l.onnx.StringStringEntryProto;t.pos<n;){var i=t.uint32();switch(i>>>3){case 1:r.key=t.string();break;case 2:r.value=t.string();break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof s||(t=new s(t)),this.decode(t,t.uint32())},t.verify=function(t){return\"object\"!=typeof t||null===t?\"object expected\":null!=t.key&&t.hasOwnProperty(\"key\")&&!c.isString(t.key)?\"key: string expected\":null!=t.value&&t.hasOwnProperty(\"value\")&&!c.isString(t.value)?\"value: string expected\":null},t.fromObject=function(t){if(t instanceof l.onnx.StringStringEntryProto)return t;var e=new l.onnx.StringStringEntryProto;return null!=t.key&&(e.key=String(t.key)),null!=t.value&&(e.value=String(t.value)),e},t.toObject=function(t,e){e||(e={});var n={};return e.defaults&&(n.key=\"\",n.value=\"\"),null!=t.key&&t.hasOwnProperty(\"key\")&&(n.key=t.key),null!=t.value&&t.hasOwnProperty(\"value\")&&(n.value=t.value),n},t.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},t}(),o.TensorAnnotation=function(){function t(t){if(this.quantParameterTensorNames=[],t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.tensorName=\"\",t.prototype.quantParameterTensorNames=c.emptyArray,t.create=function(e){return new t(e)},t.encode=function(t,e){if(e||(e=u.create()),null!=t.tensorName&&t.hasOwnProperty(\"tensorName\")&&e.uint32(10).string(t.tensorName),null!=t.quantParameterTensorNames&&t.quantParameterTensorNames.length)for(var n=0;n<t.quantParameterTensorNames.length;++n)l.onnx.StringStringEntryProto.encode(t.quantParameterTensorNames[n],e.uint32(18).fork()).ldelim();return e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof s||(t=s.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new l.onnx.TensorAnnotation;t.pos<n;){var i=t.uint32();switch(i>>>3){case 1:r.tensorName=t.string();break;case 2:r.quantParameterTensorNames&&r.quantParameterTensorNames.length||(r.quantParameterTensorNames=[]),r.quantParameterTensorNames.push(l.onnx.StringStringEntryProto.decode(t,t.uint32()));break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof s||(t=new s(t)),this.decode(t,t.uint32())},t.verify=function(t){if(\"object\"!=typeof t||null===t)return\"object expected\";if(null!=t.tensorName&&t.hasOwnProperty(\"tensorName\")&&!c.isString(t.tensorName))return\"tensorName: string expected\";if(null!=t.quantParameterTensorNames&&t.hasOwnProperty(\"quantParameterTensorNames\")){if(!Array.isArray(t.quantParameterTensorNames))return\"quantParameterTensorNames: array expected\";for(var e=0;e<t.quantParameterTensorNames.length;++e){var n=l.onnx.StringStringEntryProto.verify(t.quantParameterTensorNames[e]);if(n)return\"quantParameterTensorNames.\"+n}}return null},t.fromObject=function(t){if(t instanceof l.onnx.TensorAnnotation)return t;var e=new l.onnx.TensorAnnotation;if(null!=t.tensorName&&(e.tensorName=String(t.tensorName)),t.quantParameterTensorNames){if(!Array.isArray(t.quantParameterTensorNames))throw TypeError(\".onnx.TensorAnnotation.quantParameterTensorNames: array expected\");e.quantParameterTensorNames=[];for(var n=0;n<t.quantParameterTensorNames.length;++n){if(\"object\"!=typeof t.quantParameterTensorNames[n])throw TypeError(\".onnx.TensorAnnotation.quantParameterTensorNames: object expected\");e.quantParameterTensorNames[n]=l.onnx.StringStringEntryProto.fromObject(t.quantParameterTensorNames[n])}}return e},t.toObject=function(t,e){e||(e={});var n={};if((e.arrays||e.defaults)&&(n.quantParameterTensorNames=[]),e.defaults&&(n.tensorName=\"\"),null!=t.tensorName&&t.hasOwnProperty(\"tensorName\")&&(n.tensorName=t.tensorName),t.quantParameterTensorNames&&t.quantParameterTensorNames.length){n.quantParameterTensorNames=[];for(var r=0;r<t.quantParameterTensorNames.length;++r)n.quantParameterTensorNames[r]=l.onnx.StringStringEntryProto.toObject(t.quantParameterTensorNames[r],e)}return n},t.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},t}(),o.GraphProto=function(){function t(t){if(this.node=[],this.initializer=[],this.input=[],this.output=[],this.valueInfo=[],this.quantizationAnnotation=[],t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.node=c.emptyArray,t.prototype.name=\"\",t.prototype.initializer=c.emptyArray,t.prototype.docString=\"\",t.prototype.input=c.emptyArray,t.prototype.output=c.emptyArray,t.prototype.valueInfo=c.emptyArray,t.prototype.quantizationAnnotation=c.emptyArray,t.create=function(e){return new t(e)},t.encode=function(t,e){if(e||(e=u.create()),null!=t.node&&t.node.length)for(var n=0;n<t.node.length;++n)l.onnx.NodeProto.encode(t.node[n],e.uint32(10).fork()).ldelim();if(null!=t.name&&t.hasOwnProperty(\"name\")&&e.uint32(18).string(t.name),null!=t.initializer&&t.initializer.length)for(n=0;n<t.initializer.length;++n)l.onnx.TensorProto.encode(t.initializer[n],e.uint32(42).fork()).ldelim();if(null!=t.docString&&t.hasOwnProperty(\"docString\")&&e.uint32(82).string(t.docString),null!=t.input&&t.input.length)for(n=0;n<t.input.length;++n)l.onnx.ValueInfoProto.encode(t.input[n],e.uint32(90).fork()).ldelim();if(null!=t.output&&t.output.length)for(n=0;n<t.output.length;++n)l.onnx.ValueInfoProto.encode(t.output[n],e.uint32(98).fork()).ldelim();if(null!=t.valueInfo&&t.valueInfo.length)for(n=0;n<t.valueInfo.length;++n)l.onnx.ValueInfoProto.encode(t.valueInfo[n],e.uint32(106).fork()).ldelim();if(null!=t.quantizationAnnotation&&t.quantizationAnnotation.length)for(n=0;n<t.quantizationAnnotation.length;++n)l.onnx.TensorAnnotation.encode(t.quantizationAnnotation[n],e.uint32(114).fork()).ldelim();return e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof s||(t=s.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new l.onnx.GraphProto;t.pos<n;){var i=t.uint32();switch(i>>>3){case 1:r.node&&r.node.length||(r.node=[]),r.node.push(l.onnx.NodeProto.decode(t,t.uint32()));break;case 2:r.name=t.string();break;case 5:r.initializer&&r.initializer.length||(r.initializer=[]),r.initializer.push(l.onnx.TensorProto.decode(t,t.uint32()));break;case 10:r.docString=t.string();break;case 11:r.input&&r.input.length||(r.input=[]),r.input.push(l.onnx.ValueInfoProto.decode(t,t.uint32()));break;case 12:r.output&&r.output.length||(r.output=[]),r.output.push(l.onnx.ValueInfoProto.decode(t,t.uint32()));break;case 13:r.valueInfo&&r.valueInfo.length||(r.valueInfo=[]),r.valueInfo.push(l.onnx.ValueInfoProto.decode(t,t.uint32()));break;case 14:r.quantizationAnnotation&&r.quantizationAnnotation.length||(r.quantizationAnnotation=[]),r.quantizationAnnotation.push(l.onnx.TensorAnnotation.decode(t,t.uint32()));break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof s||(t=new s(t)),this.decode(t,t.uint32())},t.verify=function(t){if(\"object\"!=typeof t||null===t)return\"object expected\";if(null!=t.node&&t.hasOwnProperty(\"node\")){if(!Array.isArray(t.node))return\"node: array expected\";for(var e=0;e<t.node.length;++e)if(n=l.onnx.NodeProto.verify(t.node[e]))return\"node.\"+n}if(null!=t.name&&t.hasOwnProperty(\"name\")&&!c.isString(t.name))return\"name: string expected\";if(null!=t.initializer&&t.hasOwnProperty(\"initializer\")){if(!Array.isArray(t.initializer))return\"initializer: array expected\";for(e=0;e<t.initializer.length;++e)if(n=l.onnx.TensorProto.verify(t.initializer[e]))return\"initializer.\"+n}if(null!=t.docString&&t.hasOwnProperty(\"docString\")&&!c.isString(t.docString))return\"docString: string expected\";if(null!=t.input&&t.hasOwnProperty(\"input\")){if(!Array.isArray(t.input))return\"input: array expected\";for(e=0;e<t.input.length;++e)if(n=l.onnx.ValueInfoProto.verify(t.input[e]))return\"input.\"+n}if(null!=t.output&&t.hasOwnProperty(\"output\")){if(!Array.isArray(t.output))return\"output: array expected\";for(e=0;e<t.output.length;++e)if(n=l.onnx.ValueInfoProto.verify(t.output[e]))return\"output.\"+n}if(null!=t.valueInfo&&t.hasOwnProperty(\"valueInfo\")){if(!Array.isArray(t.valueInfo))return\"valueInfo: array expected\";for(e=0;e<t.valueInfo.length;++e)if(n=l.onnx.ValueInfoProto.verify(t.valueInfo[e]))return\"valueInfo.\"+n}if(null!=t.quantizationAnnotation&&t.hasOwnProperty(\"quantizationAnnotation\")){if(!Array.isArray(t.quantizationAnnotation))return\"quantizationAnnotation: array expected\";for(e=0;e<t.quantizationAnnotation.length;++e){var n;if(n=l.onnx.TensorAnnotation.verify(t.quantizationAnnotation[e]))return\"quantizationAnnotation.\"+n}}return null},t.fromObject=function(t){if(t instanceof l.onnx.GraphProto)return t;var e=new l.onnx.GraphProto;if(t.node){if(!Array.isArray(t.node))throw TypeError(\".onnx.GraphProto.node: array expected\");e.node=[];for(var n=0;n<t.node.length;++n){if(\"object\"!=typeof t.node[n])throw TypeError(\".onnx.GraphProto.node: object expected\");e.node[n]=l.onnx.NodeProto.fromObject(t.node[n])}}if(null!=t.name&&(e.name=String(t.name)),t.initializer){if(!Array.isArray(t.initializer))throw TypeError(\".onnx.GraphProto.initializer: array expected\");for(e.initializer=[],n=0;n<t.initializer.length;++n){if(\"object\"!=typeof t.initializer[n])throw TypeError(\".onnx.GraphProto.initializer: object expected\");e.initializer[n]=l.onnx.TensorProto.fromObject(t.initializer[n])}}if(null!=t.docString&&(e.docString=String(t.docString)),t.input){if(!Array.isArray(t.input))throw TypeError(\".onnx.GraphProto.input: array expected\");for(e.input=[],n=0;n<t.input.length;++n){if(\"object\"!=typeof t.input[n])throw TypeError(\".onnx.GraphProto.input: object expected\");e.input[n]=l.onnx.ValueInfoProto.fromObject(t.input[n])}}if(t.output){if(!Array.isArray(t.output))throw TypeError(\".onnx.GraphProto.output: array expected\");for(e.output=[],n=0;n<t.output.length;++n){if(\"object\"!=typeof t.output[n])throw TypeError(\".onnx.GraphProto.output: object expected\");e.output[n]=l.onnx.ValueInfoProto.fromObject(t.output[n])}}if(t.valueInfo){if(!Array.isArray(t.valueInfo))throw TypeError(\".onnx.GraphProto.valueInfo: array expected\");for(e.valueInfo=[],n=0;n<t.valueInfo.length;++n){if(\"object\"!=typeof t.valueInfo[n])throw TypeError(\".onnx.GraphProto.valueInfo: object expected\");e.valueInfo[n]=l.onnx.ValueInfoProto.fromObject(t.valueInfo[n])}}if(t.quantizationAnnotation){if(!Array.isArray(t.quantizationAnnotation))throw TypeError(\".onnx.GraphProto.quantizationAnnotation: array expected\");for(e.quantizationAnnotation=[],n=0;n<t.quantizationAnnotation.length;++n){if(\"object\"!=typeof t.quantizationAnnotation[n])throw TypeError(\".onnx.GraphProto.quantizationAnnotation: object expected\");e.quantizationAnnotation[n]=l.onnx.TensorAnnotation.fromObject(t.quantizationAnnotation[n])}}return e},t.toObject=function(t,e){e||(e={});var n={};if((e.arrays||e.defaults)&&(n.node=[],n.initializer=[],n.input=[],n.output=[],n.valueInfo=[],n.quantizationAnnotation=[]),e.defaults&&(n.name=\"\",n.docString=\"\"),t.node&&t.node.length){n.node=[];for(var r=0;r<t.node.length;++r)n.node[r]=l.onnx.NodeProto.toObject(t.node[r],e)}if(null!=t.name&&t.hasOwnProperty(\"name\")&&(n.name=t.name),t.initializer&&t.initializer.length)for(n.initializer=[],r=0;r<t.initializer.length;++r)n.initializer[r]=l.onnx.TensorProto.toObject(t.initializer[r],e);if(null!=t.docString&&t.hasOwnProperty(\"docString\")&&(n.docString=t.docString),t.input&&t.input.length)for(n.input=[],r=0;r<t.input.length;++r)n.input[r]=l.onnx.ValueInfoProto.toObject(t.input[r],e);if(t.output&&t.output.length)for(n.output=[],r=0;r<t.output.length;++r)n.output[r]=l.onnx.ValueInfoProto.toObject(t.output[r],e);if(t.valueInfo&&t.valueInfo.length)for(n.valueInfo=[],r=0;r<t.valueInfo.length;++r)n.valueInfo[r]=l.onnx.ValueInfoProto.toObject(t.valueInfo[r],e);if(t.quantizationAnnotation&&t.quantizationAnnotation.length)for(n.quantizationAnnotation=[],r=0;r<t.quantizationAnnotation.length;++r)n.quantizationAnnotation[r]=l.onnx.TensorAnnotation.toObject(t.quantizationAnnotation[r],e);return n},t.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},t}(),o.TensorProto=function(){function t(t){if(this.dims=[],this.floatData=[],this.int32Data=[],this.stringData=[],this.int64Data=[],this.externalData=[],this.doubleData=[],this.uint64Data=[],t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.dims=c.emptyArray,t.prototype.dataType=0,t.prototype.segment=null,t.prototype.floatData=c.emptyArray,t.prototype.int32Data=c.emptyArray,t.prototype.stringData=c.emptyArray,t.prototype.int64Data=c.emptyArray,t.prototype.name=\"\",t.prototype.docString=\"\",t.prototype.rawData=c.newBuffer([]),t.prototype.externalData=c.emptyArray,t.prototype.dataLocation=0,t.prototype.doubleData=c.emptyArray,t.prototype.uint64Data=c.emptyArray,t.create=function(e){return new t(e)},t.encode=function(t,e){if(e||(e=u.create()),null!=t.dims&&t.dims.length){e.uint32(10).fork();for(var n=0;n<t.dims.length;++n)e.int64(t.dims[n]);e.ldelim()}if(null!=t.dataType&&t.hasOwnProperty(\"dataType\")&&e.uint32(16).int32(t.dataType),null!=t.segment&&t.hasOwnProperty(\"segment\")&&l.onnx.TensorProto.Segment.encode(t.segment,e.uint32(26).fork()).ldelim(),null!=t.floatData&&t.floatData.length){for(e.uint32(34).fork(),n=0;n<t.floatData.length;++n)e.float(t.floatData[n]);e.ldelim()}if(null!=t.int32Data&&t.int32Data.length){for(e.uint32(42).fork(),n=0;n<t.int32Data.length;++n)e.int32(t.int32Data[n]);e.ldelim()}if(null!=t.stringData&&t.stringData.length)for(n=0;n<t.stringData.length;++n)e.uint32(50).bytes(t.stringData[n]);if(null!=t.int64Data&&t.int64Data.length){for(e.uint32(58).fork(),n=0;n<t.int64Data.length;++n)e.int64(t.int64Data[n]);e.ldelim()}if(null!=t.name&&t.hasOwnProperty(\"name\")&&e.uint32(66).string(t.name),null!=t.rawData&&t.hasOwnProperty(\"rawData\")&&e.uint32(74).bytes(t.rawData),null!=t.doubleData&&t.doubleData.length){for(e.uint32(82).fork(),n=0;n<t.doubleData.length;++n)e.double(t.doubleData[n]);e.ldelim()}if(null!=t.uint64Data&&t.uint64Data.length){for(e.uint32(90).fork(),n=0;n<t.uint64Data.length;++n)e.uint64(t.uint64Data[n]);e.ldelim()}if(null!=t.docString&&t.hasOwnProperty(\"docString\")&&e.uint32(98).string(t.docString),null!=t.externalData&&t.externalData.length)for(n=0;n<t.externalData.length;++n)l.onnx.StringStringEntryProto.encode(t.externalData[n],e.uint32(106).fork()).ldelim();return null!=t.dataLocation&&t.hasOwnProperty(\"dataLocation\")&&e.uint32(112).int32(t.dataLocation),e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof s||(t=s.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new l.onnx.TensorProto;t.pos<n;){var i=t.uint32();switch(i>>>3){case 1:if(r.dims&&r.dims.length||(r.dims=[]),2==(7&i))for(var o=t.uint32()+t.pos;t.pos<o;)r.dims.push(t.int64());else r.dims.push(t.int64());break;case 2:r.dataType=t.int32();break;case 3:r.segment=l.onnx.TensorProto.Segment.decode(t,t.uint32());break;case 4:if(r.floatData&&r.floatData.length||(r.floatData=[]),2==(7&i))for(o=t.uint32()+t.pos;t.pos<o;)r.floatData.push(t.float());else r.floatData.push(t.float());break;case 5:if(r.int32Data&&r.int32Data.length||(r.int32Data=[]),2==(7&i))for(o=t.uint32()+t.pos;t.pos<o;)r.int32Data.push(t.int32());else r.int32Data.push(t.int32());break;case 6:r.stringData&&r.stringData.length||(r.stringData=[]),r.stringData.push(t.bytes());break;case 7:if(r.int64Data&&r.int64Data.length||(r.int64Data=[]),2==(7&i))for(o=t.uint32()+t.pos;t.pos<o;)r.int64Data.push(t.int64());else r.int64Data.push(t.int64());break;case 8:r.name=t.string();break;case 12:r.docString=t.string();break;case 9:r.rawData=t.bytes();break;case 13:r.externalData&&r.externalData.length||(r.externalData=[]),r.externalData.push(l.onnx.StringStringEntryProto.decode(t,t.uint32()));break;case 14:r.dataLocation=t.int32();break;case 10:if(r.doubleData&&r.doubleData.length||(r.doubleData=[]),2==(7&i))for(o=t.uint32()+t.pos;t.pos<o;)r.doubleData.push(t.double());else r.doubleData.push(t.double());break;case 11:if(r.uint64Data&&r.uint64Data.length||(r.uint64Data=[]),2==(7&i))for(o=t.uint32()+t.pos;t.pos<o;)r.uint64Data.push(t.uint64());else r.uint64Data.push(t.uint64());break;default:t.skipType(7&i)}}return r},t.decodeDelimited=function(t){return t instanceof s||(t=new s(t)),this.decode(t,t.uint32())},t.verify=function(t){if(\"object\"!=typeof t||null===t)return\"object expected\";if(null!=t.dims&&t.hasOwnProperty(\"dims\")){if(!Array.isArray(t.dims))return\"dims: array expected\";for(var e=0;e<t.dims.length;++e)if(!(c.isInteger(t.dims[e])||t.dims[e]&&c.isInteger(t.dims[e].low)&&c.isInteger(t.dims[e].high)))return\"dims: integer|Long[] expected\"}if(null!=t.dataType&&t.hasOwnProperty(\"dataType\")&&!c.isInteger(t.dataType))return\"dataType: integer expected\";if(null!=t.segment&&t.hasOwnProperty(\"segment\")&&(n=l.onnx.TensorProto.Segment.verify(t.segment)))return\"segment.\"+n;if(null!=t.floatData&&t.hasOwnProperty(\"floatData\")){if(!Array.isArray(t.floatData))return\"floatData: array expected\";for(e=0;e<t.floatData.length;++e)if(\"number\"!=typeof t.floatData[e])return\"floatData: number[] expected\"}if(null!=t.int32Data&&t.hasOwnProperty(\"int32Data\")){if(!Array.isArray(t.int32Data))return\"int32Data: array expected\";for(e=0;e<t.int32Data.length;++e)if(!c.isInteger(t.int32Data[e]))return\"int32Data: integer[] expected\"}if(null!=t.stringData&&t.hasOwnProperty(\"stringData\")){if(!Array.isArray(t.stringData))return\"stringData: array expected\";for(e=0;e<t.stringData.length;++e)if(!(t.stringData[e]&&\"number\"==typeof t.stringData[e].length||c.isString(t.stringData[e])))return\"stringData: buffer[] expected\"}if(null!=t.int64Data&&t.hasOwnProperty(\"int64Data\")){if(!Array.isArray(t.int64Data))return\"int64Data: array expected\";for(e=0;e<t.int64Data.length;++e)if(!(c.isInteger(t.int64Data[e])||t.int64Data[e]&&c.isInteger(t.int64Data[e].low)&&c.isInteger(t.int64Data[e].high)))return\"int64Data: integer|Long[] expected\"}if(null!=t.name&&t.hasOwnProperty(\"name\")&&!c.isString(t.name))return\"name: string expected\";if(null!=t.docString&&t.hasOwnProperty(\"docString\")&&!c.isString(t.docString))return\"docString: string expected\";if(null!=t.rawData&&t.hasOwnProperty(\"rawData\")&&!(t.rawData&&\"number\"==typeof t.rawData.length||c.isString(t.rawData)))return\"rawData: buffer expected\";if(null!=t.externalData&&t.hasOwnProperty(\"externalData\")){if(!Array.isArray(t.externalData))return\"externalData: array expected\";for(e=0;e<t.externalData.length;++e){var n;if(n=l.onnx.StringStringEntryProto.verify(t.externalData[e]))return\"externalData.\"+n}}if(null!=t.dataLocation&&t.hasOwnProperty(\"dataLocation\"))switch(t.dataLocation){default:return\"dataLocation: enum value expected\";case 0:case 1:}if(null!=t.doubleData&&t.hasOwnProperty(\"doubleData\")){if(!Array.isArray(t.doubleData))return\"doubleData: array expected\";for(e=0;e<t.doubleData.length;++e)if(\"number\"!=typeof t.doubleData[e])return\"doubleData: number[] expected\"}if(null!=t.uint64Data&&t.hasOwnProperty(\"uint64Data\")){if(!Array.isArray(t.uint64Data))return\"uint64Data: array expected\";for(e=0;e<t.uint64Data.length;++e)if(!(c.isInteger(t.uint64Data[e])||t.uint64Data[e]&&c.isInteger(t.uint64Data[e].low)&&c.isInteger(t.uint64Data[e].high)))return\"uint64Data: integer|Long[] expected\"}return null},t.fromObject=function(t){if(t instanceof l.onnx.TensorProto)return t;var e=new l.onnx.TensorProto;if(t.dims){if(!Array.isArray(t.dims))throw TypeError(\".onnx.TensorProto.dims: array expected\");e.dims=[];for(var n=0;n<t.dims.length;++n)c.Long?(e.dims[n]=c.Long.fromValue(t.dims[n])).unsigned=!1:\"string\"==typeof t.dims[n]?e.dims[n]=parseInt(t.dims[n],10):\"number\"==typeof t.dims[n]?e.dims[n]=t.dims[n]:\"object\"==typeof t.dims[n]&&(e.dims[n]=new c.LongBits(t.dims[n].low>>>0,t.dims[n].high>>>0).toNumber())}if(null!=t.dataType&&(e.dataType=0|t.dataType),null!=t.segment){if(\"object\"!=typeof t.segment)throw TypeError(\".onnx.TensorProto.segment: object expected\");e.segment=l.onnx.TensorProto.Segment.fromObject(t.segment)}if(t.floatData){if(!Array.isArray(t.floatData))throw TypeError(\".onnx.TensorProto.floatData: array expected\");for(e.floatData=[],n=0;n<t.floatData.length;++n)e.floatData[n]=Number(t.floatData[n])}if(t.int32Data){if(!Array.isArray(t.int32Data))throw TypeError(\".onnx.TensorProto.int32Data: array expected\");for(e.int32Data=[],n=0;n<t.int32Data.length;++n)e.int32Data[n]=0|t.int32Data[n]}if(t.stringData){if(!Array.isArray(t.stringData))throw TypeError(\".onnx.TensorProto.stringData: array expected\");for(e.stringData=[],n=0;n<t.stringData.length;++n)\"string\"==typeof t.stringData[n]?c.base64.decode(t.stringData[n],e.stringData[n]=c.newBuffer(c.base64.length(t.stringData[n])),0):t.stringData[n].length&&(e.stringData[n]=t.stringData[n])}if(t.int64Data){if(!Array.isArray(t.int64Data))throw TypeError(\".onnx.TensorProto.int64Data: array 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t.int64Data[r]?n.int64Data[r]=e.longs===String?String(t.int64Data[r]):t.int64Data[r]:n.int64Data[r]=e.longs===String?c.Long.prototype.toString.call(t.int64Data[r]):e.longs===Number?new c.LongBits(t.int64Data[r].low>>>0,t.int64Data[r].high>>>0).toNumber():t.int64Data[r];if(null!=t.name&&t.hasOwnProperty(\"name\")&&(n.name=t.name),null!=t.rawData&&t.hasOwnProperty(\"rawData\")&&(n.rawData=e.bytes===String?c.base64.encode(t.rawData,0,t.rawData.length):e.bytes===Array?Array.prototype.slice.call(t.rawData):t.rawData),t.doubleData&&t.doubleData.length)for(n.doubleData=[],r=0;r<t.doubleData.length;++r)n.doubleData[r]=e.json&&!isFinite(t.doubleData[r])?String(t.doubleData[r]):t.doubleData[r];if(t.uint64Data&&t.uint64Data.length)for(n.uint64Data=[],r=0;r<t.uint64Data.length;++r)\"number\"==typeof t.uint64Data[r]?n.uint64Data[r]=e.longs===String?String(t.uint64Data[r]):t.uint64Data[r]:n.uint64Data[r]=e.longs===String?c.Long.prototype.toString.call(t.uint64Data[r]):e.longs===Number?new 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e[t[0]=\"UNDEFINED\"]=0,e[t[1]=\"FLOAT\"]=1,e[t[2]=\"UINT8\"]=2,e[t[3]=\"INT8\"]=3,e[t[4]=\"UINT16\"]=4,e[t[5]=\"INT16\"]=5,e[t[6]=\"INT32\"]=6,e[t[7]=\"INT64\"]=7,e[t[8]=\"STRING\"]=8,e[t[9]=\"BOOL\"]=9,e[t[10]=\"FLOAT16\"]=10,e[t[11]=\"DOUBLE\"]=11,e[t[12]=\"UINT32\"]=12,e[t[13]=\"UINT64\"]=13,e[t[14]=\"COMPLEX64\"]=14,e[t[15]=\"COMPLEX128\"]=15,e[t[16]=\"BFLOAT16\"]=16,e}(),t.Segment=function(){function t(t){if(t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.begin=c.Long?c.Long.fromBits(0,0,!1):0,t.prototype.end=c.Long?c.Long.fromBits(0,0,!1):0,t.create=function(e){return new t(e)},t.encode=function(t,e){return e||(e=u.create()),null!=t.begin&&t.hasOwnProperty(\"begin\")&&e.uint32(8).int64(t.begin),null!=t.end&&t.hasOwnProperty(\"end\")&&e.uint32(16).int64(t.end),e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof s||(t=s.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new 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e={};if(null!=t.dimValue&&t.hasOwnProperty(\"dimValue\")&&(e.value=1,!(c.isInteger(t.dimValue)||t.dimValue&&c.isInteger(t.dimValue.low)&&c.isInteger(t.dimValue.high))))return\"dimValue: integer|Long expected\";if(null!=t.dimParam&&t.hasOwnProperty(\"dimParam\")){if(1===e.value)return\"value: multiple values\";if(e.value=1,!c.isString(t.dimParam))return\"dimParam: string expected\"}return null!=t.denotation&&t.hasOwnProperty(\"denotation\")&&!c.isString(t.denotation)?\"denotation: string expected\":null},t.fromObject=function(t){if(t instanceof l.onnx.TensorShapeProto.Dimension)return t;var e=new l.onnx.TensorShapeProto.Dimension;return null!=t.dimValue&&(c.Long?(e.dimValue=c.Long.fromValue(t.dimValue)).unsigned=!1:\"string\"==typeof t.dimValue?e.dimValue=parseInt(t.dimValue,10):\"number\"==typeof t.dimValue?e.dimValue=t.dimValue:\"object\"==typeof t.dimValue&&(e.dimValue=new 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e.defaults&&(n.denotation=\"\"),null!=t.tensorType&&t.hasOwnProperty(\"tensorType\")&&(n.tensorType=l.onnx.TypeProto.Tensor.toObject(t.tensorType,e),e.oneofs&&(n.value=\"tensorType\")),null!=t.denotation&&t.hasOwnProperty(\"denotation\")&&(n.denotation=t.denotation),n},t.prototype.toJSON=function(){return this.constructor.toObject(this,a.util.toJSONOptions)},t.Tensor=function(){function t(t){if(t)for(var e=Object.keys(t),n=0;n<e.length;++n)null!=t[e[n]]&&(this[e[n]]=t[e[n]])}return t.prototype.elemType=0,t.prototype.shape=null,t.create=function(e){return new t(e)},t.encode=function(t,e){return e||(e=u.create()),null!=t.elemType&&t.hasOwnProperty(\"elemType\")&&e.uint32(8).int32(t.elemType),null!=t.shape&&t.hasOwnProperty(\"shape\")&&l.onnx.TensorShapeProto.encode(t.shape,e.uint32(18).fork()).ldelim(),e},t.encodeDelimited=function(t,e){return this.encode(t,e).ldelim()},t.decode=function(t,e){t instanceof s||(t=s.create(t));for(var n=void 0===e?t.len:t.pos+e,r=new 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r.env.wasm.initTimeout||r.env.wasm.initTimeout<0)&&(r.env.wasm.initTimeout=0),\"boolean\"!=typeof r.env.wasm.simd&&(r.env.wasm.simd=!0),\"boolean\"!=typeof r.env.wasm.proxy&&(r.env.wasm.proxy=!1),\"number\"!=typeof r.env.wasm.numThreads||!Number.isInteger(r.env.wasm.numThreads)||r.env.wasm.numThreads<=0){const t=\"undefined\"==typeof navigator?(0,i.cpus)().length:navigator.hardwareConcurrency;r.env.wasm.numThreads=Math.min(4,Math.ceil((t||1)/2))}},e.c8=new class{async init(){(0,e.rX)(),await(0,o.initWasm)()}async createSessionHandler(t,e){const n=new a.OnnxruntimeWebAssemblySessionHandler;return await n.loadModel(t,e),Promise.resolve(n)}}},6018:function(t,e,n){\"use strict\";var r=this&&this.__createBinding||(Object.create?function(t,e,n,r){void 0===r&&(r=n);var i=Object.getOwnPropertyDescriptor(e,n);i&&!(\"get\"in i?!e.__esModule:i.writable||i.configurable)||(i={enumerable:!0,get:function(){return e[n]}}),Object.defineProperty(t,r,i)}:function(t,e,n,r){void 0===r&&(r=n),t[r]=e[n]}),i=this&&this.__exportStar||function(t,e){for(var n in t)\"default\"===n||Object.prototype.hasOwnProperty.call(e,n)||r(e,t,n)};Object.defineProperty(e,\"__esModule\",{value:!0}),i(n(1670),e);const o=n(1670);{const t=n(7714).R;(0,o.registerBackend)(\"webgl\",t,-10)}{const t=n(4200).c8;(0,o.registerBackend)(\"cpu\",t,10),(0,o.registerBackend)(\"wasm\",t,10),(0,o.registerBackend)(\"xnnpack\",t,9)}},246:(t,e)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.createAttributeWithCacheKey=void 0;class n{constructor(t){Object.assign(this,t)}get cacheKey(){return this._cacheKey||(this._cacheKey=Object.getOwnPropertyNames(this).sort().map((t=>`${this[t]}`)).join(\";\")),this._cacheKey}}e.createAttributeWithCacheKey=t=>new n(t)},7778:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.Attribute=void 0;const r=n(1446),i=n(9395),o=n(9162),a=n(2517);var s=i.onnxruntime.experimental.fbs;class u{constructor(t){if(this._attributes=new Map,null!=t){for(const e of t)e instanceof r.onnx.AttributeProto?this._attributes.set(e.name,[u.getValue(e),u.getType(e)]):e instanceof s.Attribute&&this._attributes.set(e.name(),[u.getValue(e),u.getType(e)]);if(this._attributes.size<t.length)throw new Error(\"duplicated attribute names\")}}set(t,e,n){this._attributes.set(t,[n,e])}delete(t){this._attributes.delete(t)}getFloat(t,e){return this.get(t,\"float\",e)}getInt(t,e){return this.get(t,\"int\",e)}getString(t,e){return this.get(t,\"string\",e)}getTensor(t,e){return this.get(t,\"tensor\",e)}getFloats(t,e){return this.get(t,\"floats\",e)}getInts(t,e){return this.get(t,\"ints\",e)}getStrings(t,e){return this.get(t,\"strings\",e)}getTensors(t,e){return this.get(t,\"tensors\",e)}get(t,e,n){const r=this._attributes.get(t);if(void 0===r){if(void 0!==n)return n;throw new Error(`required attribute not found: ${t}`)}if(r[1]!==e)throw new Error(`type mismatch: expected ${e} but got ${r[1]}`);return r[0]}static getType(t){const e=t instanceof r.onnx.AttributeProto?t.type:t.type();switch(e){case r.onnx.AttributeProto.AttributeType.FLOAT:return\"float\";case r.onnx.AttributeProto.AttributeType.INT:return\"int\";case r.onnx.AttributeProto.AttributeType.STRING:return\"string\";case r.onnx.AttributeProto.AttributeType.TENSOR:return\"tensor\";case r.onnx.AttributeProto.AttributeType.FLOATS:return\"floats\";case r.onnx.AttributeProto.AttributeType.INTS:return\"ints\";case r.onnx.AttributeProto.AttributeType.STRINGS:return\"strings\";case r.onnx.AttributeProto.AttributeType.TENSORS:return\"tensors\";default:throw new Error(`attribute type is not supported yet: ${r.onnx.AttributeProto.AttributeType[e]}`)}}static getValue(t){const e=t instanceof r.onnx.AttributeProto?t.type:t.type();if(e===r.onnx.AttributeProto.AttributeType.GRAPH||e===r.onnx.AttributeProto.AttributeType.GRAPHS)throw new Error(\"graph attribute is not supported yet\");const n=this.getValueNoCheck(t);if(e===r.onnx.AttributeProto.AttributeType.INT&&a.LongUtil.isLong(n))return a.LongUtil.longToNumber(n);if(e===r.onnx.AttributeProto.AttributeType.INTS){const t=n,e=new Array(t.length);for(let n=0;n<t.length;n++){const r=t[n];e[n]=a.LongUtil.longToNumber(r)}return e}if(e===r.onnx.AttributeProto.AttributeType.TENSOR)return t instanceof r.onnx.AttributeProto?o.Tensor.fromProto(n):o.Tensor.fromOrtTensor(n);if(e===r.onnx.AttributeProto.AttributeType.TENSORS){if(t instanceof r.onnx.AttributeProto)return n.map((t=>o.Tensor.fromProto(t)));if(t instanceof s.Attribute)return n.map((t=>o.Tensor.fromOrtTensor(t)))}if(e===r.onnx.AttributeProto.AttributeType.STRING&&t instanceof r.onnx.AttributeProto){const t=n;return(0,a.decodeUtf8String)(t)}return e===r.onnx.AttributeProto.AttributeType.STRINGS&&t instanceof r.onnx.AttributeProto?n.map(a.decodeUtf8String):n}static getValueNoCheck(t){return t instanceof r.onnx.AttributeProto?this.getValueNoCheckFromOnnxFormat(t):this.getValueNoCheckFromOrtFormat(t)}static getValueNoCheckFromOnnxFormat(t){switch(t.type){case r.onnx.AttributeProto.AttributeType.FLOAT:return t.f;case r.onnx.AttributeProto.AttributeType.INT:return t.i;case r.onnx.AttributeProto.AttributeType.STRING:return t.s;case r.onnx.AttributeProto.AttributeType.TENSOR:return t.t;case r.onnx.AttributeProto.AttributeType.GRAPH:return t.g;case r.onnx.AttributeProto.AttributeType.FLOATS:return t.floats;case r.onnx.AttributeProto.AttributeType.INTS:return t.ints;case r.onnx.AttributeProto.AttributeType.STRINGS:return t.strings;case r.onnx.AttributeProto.AttributeType.TENSORS:return t.tensors;case r.onnx.AttributeProto.AttributeType.GRAPHS:return t.graphs;default:throw new Error(`unsupported attribute type: ${r.onnx.AttributeProto.AttributeType[t.type]}`)}}static getValueNoCheckFromOrtFormat(t){switch(t.type()){case s.AttributeType.FLOAT:return t.f();case s.AttributeType.INT:return t.i();case s.AttributeType.STRING:return t.s();case s.AttributeType.TENSOR:return t.t();case s.AttributeType.GRAPH:return t.g();case s.AttributeType.FLOATS:return t.floatsArray();case s.AttributeType.INTS:{const e=[];for(let n=0;n<t.intsLength();n++)e.push(t.ints(n));return e}case s.AttributeType.STRINGS:{const e=[];for(let n=0;n<t.stringsLength();n++)e.push(t.strings(n));return e}case s.AttributeType.TENSORS:{const e=[];for(let n=0;n<t.tensorsLength();n++)e.push(t.tensors(n));return e}default:throw new Error(`unsupported attribute type: ${s.AttributeType[t.type()]}`)}}}e.Attribute=u},7091:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.resolveBackend=e.backend=void 0;const r=n(5038),i=new Map;async function o(t){const n=e.backend;if(void 0!==n[t]&&function(t){const e=t;return\"initialize\"in e&&\"function\"==typeof e.initialize&&\"createSessionHandler\"in e&&\"function\"==typeof e.createSessionHandler&&\"dispose\"in e&&\"function\"==typeof 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async(t){r.env.webgl.async=t}initialize(){try{return this.glContext=(0,a.createWebGLContext)(this.contextId),\"number\"!=typeof this.matmulMaxBatchSize&&(this.matmulMaxBatchSize=16),\"string\"!=typeof this.textureCacheMode&&(this.textureCacheMode=\"full\"),\"boolean\"!=typeof this.pack&&(this.pack=!1),\"boolean\"!=typeof this.async&&(this.async=!1),i.Logger.setWithEnv(r.env),i.Logger.verbose(\"WebGLBackend\",`Created WebGLContext: ${typeof this.glContext} with matmulMaxBatchSize: ${this.matmulMaxBatchSize}; textureCacheMode: ${this.textureCacheMode}; pack: ${this.pack}; async: ${this.async}.`),!0}catch(t){return i.Logger.warning(\"WebGLBackend\",`Unable to initialize WebGLBackend. ${t}`),!1}}createSessionHandler(t){return new o.WebGLSessionHandler(this,t)}dispose(){this.glContext.dispose()}}},5107:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.CoordsGlslLib=void 0;const r=n(2517),i=n(8520),o=n(5060),a=n(7859),s=n(9390);class u extends i.GlslLib{constructor(t){super(t)}getFunctions(){return Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},this.offsetToCoords()),this.coordsToOffset()),this.toVec()),this.valueFrom()),this.getCommonUtilFuncs()),this.getInputsSamplingSnippets()),this.getOutputSamplingSnippet())}getCustomTypes(){return{}}offsetToCoords(){return{offsetToCoords:new i.GlslLibRoutine(\"\\n      vec2 offsetToCoords(int offset, int width, int height) {\\n        int t = offset / width;\\n        int s = offset - t*width;\\n        vec2 coords = (vec2(s,t) + vec2(0.5,0.5)) / vec2(width, height);\\n        return coords;\\n      }\\n      \")}}coordsToOffset(){return{coordsToOffset:new i.GlslLibRoutine(\"\\n      int coordsToOffset(vec2 coords, int width, int height) {\\n        float s = coords.s * float(width);\\n        float t = coords.t * float(height);\\n        int offset = int(t) * width + int(s);\\n        return offset;\\n      }\\n      \")}}getOutputSamplingSnippet(){const t=this.context.outputTextureLayout;return t.isPacked?this.getPackedOutputSamplingSnippet(t):this.getUnpackedOutputSamplingSnippet(t)}getPackedOutputSamplingSnippet(t){const e=t.unpackedShape,n=[t.width,t.height],r={},a=\"getOutputCoords\";switch(e.length){case 0:r[a]=this.getOutputScalarCoords();break;case 1:r[a]=this.getOutputPacked1DCoords(e,n);break;case 2:r[a]=this.getOutputPacked2DCoords(e,n);break;case 3:r[a]=this.getOutputPacked3DCoords(e,n);break;default:r[a]=this.getOutputPackedNDCoords(e,n)}const s=`\\n      void setOutput(vec4 val) {\\n        ${(0,o.getGlsl)(this.context.glContext.version).output} = val;\\n      }\\n    `;return r.floatTextureSetRGBA=new i.GlslLibRoutine(s),r}getUnpackedOutputSamplingSnippet(t){const e=t.unpackedShape,n=[t.width,t.height],r={},a=\"getOutputCoords\";switch(e.length){case 0:r[a]=this.getOutputScalarCoords();break;case 1:r[a]=this.getOutputUnpacked1DCoords(e,n);break;case 2:r[a]=this.getOutputUnpacked2DCoords(e,n);break;case 3:r[a]=this.getOutputUnpacked3DCoords(e,n);break;case 4:r[a]=this.getOutputUnpacked4DCoords(e,n);break;case 5:r[a]=this.getOutputUnpacked5DCoords(e,n);break;case 6:r[a]=this.getOutputUnpacked6DCoords(e,n);break;default:throw new Error(`Unsupported output dimensionality: ${e.length}`)}const s=`\\n        void setOutput(float val) {\\n          ${(0,o.getGlsl)(this.context.glContext.version).output} = vec4(val, 0, 0, 0);\\n        }\\n    `;return r.floatTextureSetR=new i.GlslLibRoutine(s),r}getOutputScalarCoords(){return new i.GlslLibRoutine(\"\\n      int getOutputCoords() {\\n        return 0;\\n      }\\n    \")}getOutputPacked1DCoords(t,e){const n=e;let r=\"\";return 1===n[0]?(r=`\\n          int getOutputCoords() {\\n            return 2 * int(TexCoords.y * ${n[1]}.0);\\n          }\\n        `,new i.GlslLibRoutine(r)):1===n[1]?(r=`\\n          int getOutputCoords() {\\n            return 2 * int(TexCoords.x * ${n[0]}.0);\\n          }\\n        `,new i.GlslLibRoutine(r)):(r=`\\n        int getOutputCoords() {\\n          ivec2 resTexRC = ivec2(TexCoords.xy *\\n                                 vec2(${n[0]}, ${n[1]}));\\n          return 2 * (resTexRC.y * ${n[0]} + resTexRC.x);\\n        }\\n      `,new i.GlslLibRoutine(r))}getOutputPacked2DCoords(t,e){let n=\"\";if(r.ArrayUtil.arraysEqual(t,e))return n=`\\n        ivec2 getOutputCoords() {\\n          return 2 * ivec2(TexCoords.xy * vec2(${e[0]}, ${e[1]}));\\n        }\\n      `,new i.GlslLibRoutine(n);const o=e,a=Math.ceil(t[1]/2);return n=`\\n        ivec2 getOutputCoords() {\\n          ivec2 resTexRC = ivec2(TexCoords.xy *\\n                                vec2(${o[0]}, ${o[1]}));\\n\\n          int index = resTexRC.y * ${o[0]} + resTexRC.x;\\n\\n          // reverse r and c order for packed texture\\n          int r = imod(index, ${a}) * 2;\\n          int c = 2 * (index / ${a});\\n\\n          return ivec2(r, c);\\n        }\\n      `,new i.GlslLibRoutine(n)}getOutputPacked3DCoords(t,e){const n=[e[0],e[1]],r=Math.ceil(t[2]/2),o=r*Math.ceil(t[1]/2),a=`\\n        ivec3 getOutputCoords() {\\n          ivec2 resTexRC = ivec2(TexCoords.xy *\\n                                vec2(${n[0]}, ${n[1]}));\\n          int index = resTexRC.y * ${n[0]} + resTexRC.x;\\n\\n          int b = index / ${o};\\n          index -= b * ${o};\\n\\n          // reverse r and c order for packed texture\\n          int r = imod(index, ${r}) * 2;\\n          int c = 2 * (index / ${r});\\n\\n          return ivec3(b, r, c);\\n        }\\n      `;return new i.GlslLibRoutine(a)}getOutputPackedNDCoords(t,e){const n=[e[0],e[1]],r=Math.ceil(t[t.length-1]/2),o=r*Math.ceil(t[t.length-2]/2);let a=o,s=\"\",u=\"b, r, c\";for(let e=2;e<t.length-1;e++)a*=t[t.length-e-1],s=`\\n      int b${e} = index / ${a};\\n      index -= b${e} * ${a};\\n    `+s,u=`b${e}, `+u;const c=`\\n      ivec${t.length} getOutputCoords() {\\n        ivec2 resTexRC = ivec2(TexCoords.xy *\\n                              vec2(${n[0]}, ${n[1]}));\\n        int index = resTexRC.y * ${n[0]} + resTexRC.x;\\n\\n        ${s}\\n\\n        int b = index / ${o};\\n        index -= b * ${o};\\n\\n        // reverse r and c order for packed texture\\n        int r = imod(index, ${r}) * 2;\\n        int c = 2 * (index / ${r});\\n\\n        return ivec${t.length}(${u});\\n      }\\n    `;return new i.GlslLibRoutine(c)}getOutputUnpacked1DCoords(t,e){const n=`\\n        int getOutputCoords() {\\n          ivec2 resTexRC = ivec2(TexCoords.xy *\\n                                vec2(${e[0]}, ${e[1]}));\\n          return resTexRC.y * ${e[0]} + resTexRC.x;\\n        }\\n      `;return new i.GlslLibRoutine(n)}getOutputUnpacked2DCoords(t,e){const n=`\\n        ivec2 getOutputCoords() {\\n          ivec2 resTexRC = ivec2(TexCoords.xy *\\n                                vec2(${e[0]}, ${e[1]}));\\n          int index = resTexRC.y * ${e[0]} + resTexRC.x;\\n          int r = index / ${t[1]};\\n          int c = index - r * ${t[1]};\\n          return ivec2(r, c);\\n        }\\n      `;return new i.GlslLibRoutine(n)}getOutputUnpacked3DCoords(t,e){let n=\"\";const r=t.length;let o=null;r<2&&(o=[]),o=new Array(r-1),o[r-2]=t[r-1];for(let e=r-3;e>=0;--e)o[e]=o[e+1]*t[e+1];const a=[\"r\",\"c\",\"d\"],s=o.map(((t,e)=>`int ${a[e]} = index / ${t}; ${e===o.length-1?`int ${a[e+1]} = index - ${a[e]} * ${t}`:`index -= ${a[e]} * ${t}`};`)).join(\"\");return n=`\\n        ivec3 getOutputCoords() {\\n          ivec2 resTexRC = ivec2(TexCoords.xy *\\n                                vec2(${e[0]}, ${e[1]}));\\n          int index = resTexRC.y * ${e[0]} + resTexRC.x;\\n          ${s}\\n          return ivec3(r, c, d);\\n        }\\n      `,new i.GlslLibRoutine(n)}getOutputUnpacked4DCoords(t,e){let n=\"\";const r=t.length;let o=null;r<2&&(o=[]),o=new Array(r-1),o[r-2]=t[r-1];for(let e=r-3;e>=0;--e)o[e]=o[e+1]*t[e+1];const a=[\"r\",\"c\",\"d\",\"d2\"],s=o.map(((t,e)=>`int ${a[e]} = index / ${t}; ${e===o.length-1?`int ${a[e+1]} = index - ${a[e]} * ${t}`:`index -= ${a[e]} * ${t}`};`)).join(\"\");return n=`\\n      ivec4 getOutputCoords() {\\n          ivec2 resTexRC = ivec2(TexCoords.xy *\\n                                vec2(${e[0]}, ${e[1]}));\\n          int index = resTexRC.y * ${e[0]} + resTexRC.x;\\n          ${s}\\n          return ivec4(r, c, d, d2);\\n        }\\n      `,new i.GlslLibRoutine(n)}getOutputUnpacked5DCoords(t,e){let n=\"\";const r=t.length;let o=null;r<2&&(o=[]),o=new Array(r-1),o[r-2]=t[r-1];for(let e=r-3;e>=0;--e)o[e]=o[e+1]*t[e+1];const a=[\"r\",\"c\",\"d\",\"d2\",\"d3\"],s=o.map(((t,e)=>`int ${a[e]} = index / ${t}; ${e===o.length-1?`int ${a[e+1]} = index - ${a[e]} * ${t}`:`index -= ${a[e]} * ${t}`};`)).join(\"\");return n=`\\n      ivec5 getOutputCoords() {\\n          ivec2 resTexRC = ivec2(TexCoords.xy *\\n                                vec2(${e[0]}, ${e[1]}));\\n          int index = resTexRC.y * ${e[0]} + resTexRC.x;\\n          ${s}\\n          return ivec5(r, c, d, d2, d3);\\n        }\\n      `,new i.GlslLibRoutine(n)}getOutputUnpacked6DCoords(t,e){let n=\"\";const r=t.length;let o=null;r<2&&(o=[]),o=new Array(r-1),o[r-2]=t[r-1];for(let e=r-3;e>=0;--e)o[e]=o[e+1]*t[e+1];const a=[\"r\",\"c\",\"d\",\"d2\",\"d3\",\"d4\"],s=o.map(((t,e)=>`int ${a[e]} = index / ${t}; ${e===o.length-1?`int ${a[e+1]} = index - ${a[e]} * ${t}`:`index -= ${a[e]} * ${t}`};`)).join(\"\");return n=`\\n     ivec6 getOutputCoords() {\\n         ivec2 resTexRC = ivec2(TexCoords.xy *\\n                               vec2(${e[0]}, ${e[1]}));\\n         int index = resTexRC.y * ${e[0]} + resTexRC.x;\\n         ${s}\\n         return ivec6(r, c, d, d2, d3, d4);\\n       }\\n     `,new i.GlslLibRoutine(n)}getCommonUtilFuncs(){const t={};let e=\"uvFromFlat\";t[e]=new i.GlslLibRoutine(\"\\n    vec2 uvFromFlat(int texNumR, int texNumC, int index) {\\n      int texC = index / texNumR;\\n      int texR = index - texC * texNumR;\\n      // TODO: swap texR, texC order in following function so row is corresponding to u and column is corresponding to\\n      //       v.\\n      return (vec2(texR, texC) + halfCR) / vec2(texNumR, texNumC);\\n    }\\n    \"),e=\"packedUVfrom1D\",t[e]=new i.GlslLibRoutine(\"\\n      vec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\\n        int texelIndex = index / 2;\\n        int texR = texelIndex / texNumC;\\n        int texC = texelIndex - texR * texNumC;\\n        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n      }\\n      \"),e=\"packedUVfrom2D\",t[e]=new i.GlslLibRoutine(\"\\n      vec2 packedUVfrom2D(int texNumR, int texNumC, int texelsInLogicalRow, int row, int col) {\\n        int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\\n        int texR = texelIndex / texNumC;\\n        int texC = texelIndex - texR * texNumC;\\n        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n      }\\n      \"),e=\"packedUVfrom3D\",t[e]=new i.GlslLibRoutine(\"\\n      vec2 packedUVfrom3D(int texNumR, int texNumC,\\n          int texelsInBatch, int texelsInLogicalRow, int b,\\n          int row, int col) {\\n        int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\\n        int texR = index / texNumC;\\n        int texC = index - texR * texNumC;\\n        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n      }\\n      \"),e=\"sampleTexture\";const n=(0,o.getGlsl)(this.context.glContext.version);return t[e]=new i.GlslLibRoutine(`\\n        float sampleTexture(sampler2D textureSampler, vec2 uv) {\\n            return ${n.texture2D}(textureSampler, uv).r;\\n        }`),t}getInputsSamplingSnippets(){const t={},e=this.context.outputTextureLayout;return this.context.programInfo.inputNames.forEach(((n,r)=>{const i=this.context.inputTextureLayouts[r],o=(0,s.generateShaderFuncNameFromInputSamplerName)(n);i.isPacked?t[o]=this.getPackedSamplerFromInput(o,n,i):t[o]=this.getUnpackedSamplerFromInput(o,n,i);const a=(0,s.generateShaderFuncNameFromInputSamplerNameAtOutCoords)(n);i.unpackedShape.length<=e.unpackedShape.length&&(i.isPacked?t[a]=this.getPackedSamplerAtOutputCoords(a,i,e,n):t[a]=this.getUnpackedSamplerAtOutputCoords(a,i,e,n))})),t}getPackedSamplerAtOutputCoords(t,e,n,o){const a=e.unpackedShape,u=n.unpackedShape,c=o,l=(0,s.generateShaderFuncNameFromInputSamplerName)(c),p=a.length,f=u.length,d=r.BroadcastUtil.getBroadcastDims(a,u),h=(0,s.getCoordsDataType)(f),g=f-p;let b;const m=(0,s.getGlChannels)();b=0===p?\"\":f<2&&d.length>=1?\"coords = 0;\":d.map((t=>`coords.${m[t+g]} = 0;`)).join(\"\\n\");let y=\"\";y=f<2&&p>0?\"coords\":a.map(((t,e)=>`coords.${m[e+g]}`)).join(\", \");let _=\"return outputValue;\";const v=1===r.ShapeUtil.size(a),w=1===r.ShapeUtil.size(u);if(1!==p||v||w){if(v&&!w)_=1===f?\"\\n          return vec4(outputValue.x, outputValue.x, 0., 0.);\\n        \":\"\\n          return vec4(outputValue.x);\\n        \";else if(d.length){const t=p-2,e=p-1;d.indexOf(t)>-1&&d.indexOf(e)>-1?_=\"return vec4(outputValue.x);\":d.indexOf(t)>-1?_=\"return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);\":d.indexOf(e)>-1&&(_=\"return vec4(outputValue.xx, outputValue.zz);\")}}else _=\"\\n        return vec4(outputValue.xy, outputValue.xy);\\n      \";const x=`\\n      vec4 ${t}() {\\n        ${h} coords = getOutputCoords();\\n        \\n        int lastDim = coords.${m[f-1]};\\n        coords.${m[f-1]} = coords.${m[f-2]};\\n        coords.${m[f-2]} = lastDim;\\n      \\n        ${b}\\n        vec4 outputValue = ${l}(${y});\\n        ${_}\\n      }\\n    `;return new i.GlslLibRoutine(x,[\"coordinates.getOutputCoords\"])}getUnpackedSamplerAtOutputCoords(t,e,n,o){const a=[n.width,n.height],u=[e.width,e.height],c=e.unpackedShape.length,l=n.unpackedShape.length,p=e.unpackedShape,f=n.unpackedShape,d=(0,s.generateShaderFuncNameFromInputSamplerName)(o);if(c===l&&r.ArrayUtil.arraysEqual(u,a)){const e=`\\n          float ${t}() {\\n            return sampleTexture(${o}, TexCoords);\\n          }\\n        `;return new i.GlslLibRoutine(e,[\"coordinates.sampleTexture\"])}const h=(0,s.getCoordsDataType)(l),g=r.BroadcastUtil.getBroadcastDims(p,f),b=l-c;let m;const y=(0,s.getGlChannels)();m=0===c?\"\":l<2&&g.length>=1?\"coords = 0;\":g.map((t=>`coords.${y[t+b]} = 0;`)).join(\"\\n\");let _=\"\";_=l<2&&c>0?\"coords\":e.unpackedShape.map(((t,e)=>`coords.${y[e+b]}`)).join(\", \");const v=`\\n        float ${t}() {\\n          ${h} coords = getOutputCoords();\\n          ${m}\\n          return ${d}(${_});\\n        }\\n      `;return new i.GlslLibRoutine(v,[\"coordinates.getOutputCoords\"])}getPackedSamplerFromInput(t,e,n){switch(n.unpackedShape.length){case 0:return this.getPackedSamplerScalar(t,e);case 1:return this.getPackedSampler1D(t,e,n);case 2:return this.getPackedSampler2D(t,e,n);case 3:return this.getPackedSampler3D(t,e,n);default:return this.getPackedSamplerND(t,e,n)}}getUnpackedSamplerFromInput(t,e,n){const r=n.unpackedShape;switch(r.length){case 0:return this.getUnpackedSamplerScalar(t,e,n);case 1:return this.getUnpackedSampler1D(t,e,n);case 2:return this.getUnpackedSampler2D(t,e,n);case 3:return this.getUnpackedSampler3D(t,e,n);case 4:return this.getUnpackedSampler4D(t,e,n);case 5:return this.getUnpackedSampler5D(t,e,n);case 6:return this.getUnpackedSampler6D(t,e,n);default:throw new Error(`Unsupported dimension ${r.length}-D`)}}getPackedSamplerScalar(t,e){const n=`\\n          vec4 ${t}() {\\n            return ${(0,o.getGlsl)(this.context.glContext.version).texture2D}(${e}, halfCR);\\n          }\\n        `;return new i.GlslLibRoutine(n)}getPackedSampler1D(t,e,n){const r=[n.width,n.height],a=[r[1],r[0]],s=(0,o.getGlsl)(this.context.glContext.version),u=`vec4 ${t}(int index) {\\n      vec2 uv = packedUVfrom1D(\\n      ${a[0]}, ${a[1]}, index);\\n      return ${s.texture2D}(${e}, uv);\\n    }`;return new i.GlslLibRoutine(u,[\"coordinates.packedUVfrom1D\"])}getPackedSampler2D(t,e,n){const a=n.unpackedShape,s=[n.width,n.height],u=(0,o.getGlsl)(this.context.glContext.version),c=s[0],l=s[1];if(null!=s&&r.ArrayUtil.arraysEqual(a,s)){const n=`vec4 ${t}(int row, int col) {\\n        vec2 uv = (vec2(col, row) + halfCR) / vec2(${l}.0, ${c}.0);\\n        return ${u.texture2D}(${e}, uv);\\n      }`;return new i.GlslLibRoutine(n)}const p=s,f=Math.ceil(a[1]/2),d=`vec4 ${t}(int row, int col) {\\n      vec2 uv = packedUVfrom2D(${p[1]}, ${p[0]}, ${f}, row, col);\\n      return ${u.texture2D}(${e}, uv);\\n    }`;return new i.GlslLibRoutine(d,[\"coordinates.packedUVfrom2D\"])}getPackedSampler3D(t,e,n){const r=n.unpackedShape,a=[n.width,n.height],u=[a[0],a[1]],c=(0,o.getGlsl)(this.context.glContext.version);if(1===r[0]){const o=r.slice(1),a=[1,2],u=(0,s.squeezeInputShape)(r,o),c=[\"b\",\"row\",\"col\"],l=JSON.parse(JSON.stringify(n));l.unpackedShape=u;const p=this.getPackedSamplerFromInput(t,e,l),f=`${p.routineBody}\\n      vec4 ${t}(int b, int row, int col) {\\n        return ${t}(${(0,s.getSqueezedParams)(c,a)});\\n      } `;return new i.GlslLibRoutine(f,p.dependencies)}const l=u[0],p=u[1],f=Math.ceil(r[2]/2),d=`vec4 ${t}(int b, int row, int col) {\\n      vec2 uv = packedUVfrom3D(\\n        ${p}, ${l}, ${f*Math.ceil(r[1]/2)}, ${f}, b, row, col);\\n      return ${c.texture2D}(${e}, uv);}`;return new i.GlslLibRoutine(d,[\"coordinates.packedUVfrom3D\"])}getPackedSamplerND(t,e,n){const r=n.unpackedShape,a=r.length,s=[n.width,n.height],u=(0,o.getGlsl)(this.context.glContext.version),c=[s[0],s[1]],l=c[1],p=c[0],f=Math.ceil(r[a-1]/2);let d=f*Math.ceil(r[a-2]/2),h=\"int b, int row, int col\",g=`b * ${d} + (row / 2) * ${f} + (col / 2)`;for(let t=2;t<a-1;t++)h=`int b${t}, `+h,d*=r[a-t-1],g=`b${t} * ${d} + `+g;const b=`vec4 ${t}(${h}) {\\n      int index = ${g};\\n      int texR = index / ${p};\\n      int texC = index - texR * ${p};\\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${p}, ${l});\\n      return ${u.texture2D}(${e}, uv);\\n    }`;return new i.GlslLibRoutine(b)}getUnpackedSamplerScalar(t,e,n){const[r,o]=[n.width,n.height];if(1===r&&1===o){const n=`\\n          float ${t}() {\\n            return sampleTexture(${e}, halfCR);\\n          }\\n        `;return new i.GlslLibRoutine(n,[\"coordinates.sampleTexture\"])}const a=`\\n        float ${t}() {\\n          int offset_${e} = coordsToOffset(TexCoords, ${r}, ${o});\\n          vec2 uv = uvFromFlat(${r}, ${o}, offset_${e});\\n          return sampleTexture(${e}, uv);\\n        }\\n      `;return new i.GlslLibRoutine(a,[\"coordinates.uvFromFlat\",\"coordinates.sampleTexture\",\"coordinates.coordsToOffset\"])}getUnpackedSampler1D(t,e,n){const r=n.width,o=n.height;if(1===o&&1===r){const n=`\\n        float ${t}(int index) {\\n          return sampleTexture(${e}, halfCR);\\n        }\\n      `;return new i.GlslLibRoutine(n,[\"coordinates.sampleTexture\"])}if(1===o){const n=`\\n          float ${t}(int index) {\\n            vec2 uv = vec2((float(index) + 0.5) / ${r}.0, 0.5);\\n            return sampleTexture(${e}, uv);\\n          }\\n        `;return new i.GlslLibRoutine(n,[\"coordinates.sampleTexture\"])}if(1===r){const n=`\\n          float ${t}(int index) {\\n            vec2 uv = vec2(0.5, (float(index) + 0.5) / ${o}.0);\\n            return sampleTexture(${e}, uv);\\n          }\\n        `;return new i.GlslLibRoutine(n,[\"coordinates.sampleTexture\"])}const a=`\\n        float ${t}(int index) {\\n          vec2 uv = uvFromFlat(${r}, ${o}, index);\\n          return sampleTexture(${e}, uv);\\n        }\\n      `;return new i.GlslLibRoutine(a,[\"coordinates.uvFromFlat\",\"coordinates.sampleTexture\"])}getUnpackedSampler2D(t,e,n){const o=n.unpackedShape,u=[n.height,n.width];if(null!=u&&r.ArrayUtil.arraysEqual(o,u)){const n=`\\n          float ${t}(int row, int col) {\\n            vec2 uv = (vec2(row, col) + halfCR) / vec2(${u[1]}.0, ${u[0]}.0);\\n            return sampleTexture(${e}, uv);\\n          }\\n        `;return new i.GlslLibRoutine(n,[\"coordinates.sampleTexture\"])}const{newShape:c,keptDims:l}=(0,a.squeezeShape)(o),p=c;if(p.length<o.length){const r=(0,s.squeezeInputShape)(o,p),a=JSON.parse(JSON.stringify(n));a.unpackedShape=r;const u=[\"col\",\"row\"],c=`\\n          ${this.getUnpackedSamplerFromInput(t,e,a).routineBody}\\n          float ${t}(int row, int col) {\\n            return ${t}(${(0,s.getSqueezedParams)(u,l)});\\n          }\\n        `;return new i.GlslLibRoutine(c,[\"coordinates.sampleTexture\"])}const f=u[1],d=u[0];if(1===d){const n=`\\n          float ${t}(int row, int col) {\\n            int offset_${e} = coordsToOffset(TexCoords, ${f}, ${d});\\n            float index = dot(vec3(row, col, offset_${e}), vec3(${o[1]}, 1, 1));\\n            vec2 uv = vec2(0.5, (index + 0.5) / ${f}.0);\\n            return sampleTexture(${e}, uv);\\n          }\\n        `;return new i.GlslLibRoutine(n,[\"coordinates.sampleTexture\",\"coordinates.coordsToOffset\"])}if(1===f){const n=`\\n          float ${t}(int row, int col) {\\n            int offset_${e} = coordsToOffset(TexCoords, ${f}, ${d});\\n            float index = dot(vec3(row, col, offset_${e}), vec3(${o[1]}, 1, 1));\\n            vec2 uv = vec2((index + 0.5) / ${d}.0, 0.5);\\n            return sampleTexture(${e}, uv);\\n          }\\n        `;return new i.GlslLibRoutine(n,[\"coordinates.sampleTexture\",\"coordinates.coordsToOffset\"])}const h=`\\n        float ${t}(int row, int col) {\\n          int index = col * ${o[1]} + row;\\n          vec2 uv = uvFromFlat(${f}, ${d}, index);\\n          return sampleTexture(${e}, uv);\\n        }\\n      `;return new i.GlslLibRoutine(h,[\"coordinates.uvFromFlat\",\"coordinates.sampleTexture\",\"coordinates.coordsToOffset\"])}getUnpackedSampler3D(t,e,n){const r=n.unpackedShape,o=r[1]*r[2],u=r[2],{newShape:c,keptDims:l}=(0,a.squeezeShape)(r),p=c;if(p.length<r.length){const o=(0,s.squeezeInputShape)(r,p),a=[\"batch\",\"col\",\"row\"],u=JSON.parse(JSON.stringify(n));u.unpackedShape=o;const c=this.getUnpackedSamplerFromInput(t,e,u),f=l.reverse(),d=`\\n          ${c.routineBody}\\n          float ${t}(int batch, int row, int col) {\\n            return ${t}(${(0,s.getSqueezedParams)(a,f)});\\n          }\\n        `;return new i.GlslLibRoutine(d,c.dependencies)}const f=`\\n          float ${t}(int depth, int row, int col) {\\n            // Explicitly use integer operations as dot() only works on floats.\\n            int index = depth * ${o} + col * ${u} + row;\\n            vec2 uv = uvFromFlat(${n.width}, ${n.height}, index);\\n            return sampleTexture(${e}, uv);\\n          }\\n      `;return new i.GlslLibRoutine(f,[\"coordinates.uvFromFlat\",\"coordinates.sampleTexture\",\"coordinates.coordsToOffset\"])}getUnpackedSampler4D(t,e,n){const r=n.unpackedShape,o=r[3],a=r[2]*o,s=`\\n        float ${t}(int row, int col, int depth, int depth2) {\\n          int index = row * ${r[1]*a} + col * ${a} +\\n              depth2 * ${o} + depth;\\n          vec2 uv = uvFromFlat(${n.width}, ${n.height}, index);\\n          return sampleTexture(${e}, uv);\\n        }\\n      `;return new i.GlslLibRoutine(s,[\"coordinates.uvFromFlat\",\"coordinates.sampleTexture\"])}getUnpackedSampler5D(t,e,n){const r=n.unpackedShape,o=r[4],u=r[3]*o,c=r[2]*u,l=r[1]*c,{newShape:p,keptDims:f}=(0,a.squeezeShape)(r);if(p.length<r.length){const o=(0,s.squeezeInputShape)(r,p),a=[\"row\",\"col\",\"depth\",\"depth2\",\"depth3\"],u=JSON.parse(JSON.stringify(n));u.unpackedShape=o;const c=`\\n          ${this.getUnpackedSamplerFromInput(t,e,u).routineBody}\\n          float ${t}(int row, int col, int depth, int depth2, int depth3) {\\n            return ${t}(${(0,s.getSqueezedParams)(a,f)});\\n          }\\n        `;return new i.GlslLibRoutine(c,[\"coordinates.sampleTexture\",\"coordinates.uvFromFlat\"])}const d=`\\n        float ${t}(int row, int col, int depth, int depth2, int depth3) {\\n          int index = row * ${l} + col * ${c} + depth * ${u} +\\n          depth3 * ${o} + depth2;\\n          vec2 uv = uvFromFlat(${n.width}, ${n.height}, index);\\n          return sampleTexture(${e}, uv);\\n        }\\n      `;return new i.GlslLibRoutine(d,[\"coordinates.sampleTexture\",\"coordinates.uvFromFlat\"])}getUnpackedSampler6D(t,e,n){const r=n.unpackedShape,o=r[5],u=r[4]*o,c=r[3]*u,l=r[2]*c,p=r[1]*l,{newShape:f,keptDims:d}=(0,a.squeezeShape)(r);if(f.length<r.length){const o=(0,s.squeezeInputShape)(r,f),a=[\"row\",\"col\",\"depth\",\"depth2\",\"depth3\",\"depth4\"],u=JSON.parse(JSON.stringify(n));u.unpackedShape=o;const c=`\\n            ${this.getUnpackedSamplerFromInput(t,e,u).routineBody}\\n            float ${t}(int row, int col, int depth,\\n              int depth2, int depth3, int depth4) {\\n              return ${t}(${(0,s.getSqueezedParams)(a,d)});\\n            }\\n          `;return new i.GlslLibRoutine(c,[\"coordinates.sampleTexture\",\"coordinates.uvFromFlat\"])}const h=`\\n          float ${t}(int row, int col, int depth,\\n            int depth2, int depth3, int depth4) {\\n            int index = row * ${p} + col * ${l} + depth * ${c} +\\n            depth2 * ${u} + depth3 * ${o} + depth4;\\n            vec2 uv = uvFromFlat(${n.width}, ${n.height}, index);\\n            return sampleTexture(${e}, uv);\\n          }\\n        `;return new i.GlslLibRoutine(h,[\"coordinates.uvFromFlat\",\"coordinates.sampleTexture\",\"coordinates.coordsToOffset\"])}toVec(){const t=this.context.outputTextureLayout,e=t.shape.length,n=t.strides,r=t.width,o=t.height,a=[];for(let t=0;t<e-1;++t)a.push(`\\n        c[${t}] = offset / ${n[t]};`),a.push(`\\n        offset -= c[${t}] * ${n[t]};`);a.push(`\\n        c[${e-1}] = offset;`);const s=`\\n      void toVec(vec2 texCoords, out int c[${e}]) {\\n        int offset = coordsToOffset(texCoords, ${r}, ${o});\\n        ${a.join(\"\")}\\n      }\\n      void toVec(int offset, out int c[${e}]) {\\n        ${a.join(\"\")}\\n      }\\n    `;return{toVec:new i.GlslLibRoutine(s,[\"coordinates.coordsToOffset\"])}}valueFrom(){const t={};return this.context.programInfo.inputNames.forEach(((e,n)=>{const r=this.context.inputTextureLayouts[n],o=(r.unpackedShape.length>0?r.unpackedShape:r.shape).length;let a=`_${e}`;t[a]=new i.GlslLibRoutine(this.getValueFromSingle(e,o,r.width,r.height,!1),[`shapeUtils.indicesToOffset${a}`,\"coordinates.offsetToCoords\",\"fragcolor.getColorAsFloat\"]),a+=\"_T\",t[a]=new i.GlslLibRoutine(this.getValueFromSingle(e,o,r.width,r.height,!0),[`shapeUtils.indicesToOffset${a}`,\"coordinates.offsetToCoords\",\"fragcolor.getColorAsFloat\"])})),t}getValueFromSingle(t,e,n,r,i){let a=`_${t}`;return i&&(a+=\"_T\"),`\\n        float ${a}(int m[${e}]) {\\n          int offset = indicesToOffset${a}(m);\\n          vec2 coords = offsetToCoords(offset, ${n}, ${r});\\n          float value = getColorAsFloat(${(0,o.getGlsl)(this.context.glContext.version).texture2D}(${t}, coords));\\n          return value;\\n        }\\n        `}getPackedValueFrom(t,e,n,r,i){let a=`_${t}_Pack`;return i&&(a+=\"_T\"),`\\n        vec4 ${a}(int m[${e}]) {\\n          int offset = indicesToOffset_${t}(m);\\n          vec2 coords = offsetToCoords(offset, ${n}, ${r});\\n          return ${(0,o.getGlsl)(this.context.glContext.version).texture2D}(${t}, coords);\\n        }\\n        `}}e.CoordsGlslLib=u},8520:(t,e)=>{\"use strict\";var n;Object.defineProperty(e,\"__esModule\",{value:!0}),e.TopologicalSortGlslRoutines=e.GlslLibRoutineNode=e.GlslLibRoutine=e.GlslLib=e.GlslContext=e.FunctionType=void 0,(n=e.FunctionType||(e.FunctionType={}))[n.ValueBased=0]=\"ValueBased\",n[n.Positional=1]=\"Positional\",e.GlslContext=class{constructor(t,e,n,r){this.glContext=t,this.programInfo=e,this.inputTextureLayouts=n,this.outputTextureLayout=r}},e.GlslLib=class{constructor(t){this.context=t}},e.GlslLibRoutine=class{constructor(t,e){this.routineBody=t,this.dependencies=e}},e.GlslLibRoutineNode=class{constructor(t,e,n){this.name=t,this.dependencies=n||[],e&&(this.routineBody=e)}addDependency(t){t&&this.dependencies.push(t)}},e.TopologicalSortGlslRoutines=class{static returnOrderedNodes(t){if(!t||0===t.length)return[];if(1===t.length)return t;const e=new Set,n=new Set,r=new Array;return this.createOrderedNodes(t,e,n,r),r}static createOrderedNodes(t,e,n,r){for(let i=0;i<t.length;++i)this.dfsTraverse(t[i],e,n,r)}static dfsTraverse(t,e,n,r){if(!t||n.has(t.name))return;if(e.has(t.name))throw new Error(\"Cyclic dependency detected. Can't topologically sort routines needed for shader.\");e.add(t.name);const i=t.dependencies;if(i&&i.length>0)for(let t=0;t<i.length;++t)this.dfsTraverse(i[t],e,n,r);r.push(t),n.add(t.name),e.delete(t.name)}}},7341:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.EncodingGlslLib=void 0;const r=n(8520);class i extends r.GlslLib{constructor(t){super(t)}getFunctions(){return Object.assign(Object.assign({},this.encodeFloat32()),this.decodeFloat32())}getCustomTypes(){return{}}encodeFloat32(){return{encode:new r.GlslLibRoutine(\"highp vec4 encode(highp float f) {\\n        return vec4(f, 0.0, 0.0, 0.0);\\n      }\\n        \")}}decodeFloat32(){return{decode:new r.GlslLibRoutine(\"highp float decode(highp vec4 rgba) {\\n        return rgba.r;\\n      }\\n        \")}}encodeUint8(){const t=i.isLittleEndian()?\"rgba.rgba=rgba.abgr;\":\"\";return{encode:new r.GlslLibRoutine(`\\n      highp vec4 encode(highp float f) {\\n        highp float F = abs(f);\\n        highp float Sign = step(0.0,-f);\\n        highp float Exponent = floor(log2(F));\\n        highp float Mantissa = (exp2(- Exponent) * F);\\n        Exponent = floor(log2(F) + 127.0) + floor(log2(Mantissa));\\n        highp vec4 rgba;\\n        rgba[0] = 128.0 * Sign  + floor(Exponent*exp2(-1.0));\\n        rgba[1] = 128.0 * mod(Exponent,2.0) + mod(floor(Mantissa*128.0),128.0);\\n        rgba[2] = floor(mod(floor(Mantissa*exp2(23.0 -8.0)),exp2(8.0)));\\n        rgba[3] = floor(exp2(23.0)*mod(Mantissa,exp2(-15.0)));\\n        ${t}\\n        rgba = rgba / 255.0; // values need to be normalized to [0,1]\\n        return rgba;\\n    }\\n        `)}}decodeUint8(){const t=i.isLittleEndian()?\"rgba.rgba=rgba.abgr;\":\"\";return{decode:new r.GlslLibRoutine(`\\n        highp float decode(highp vec4 rgba) {\\n          rgba = rgba * 255.0; // values need to be de-normalized from [0,1] to [0,255]\\n          ${t}\\n          highp float Sign = 1.0 - step(128.0,rgba[0])*2.0;\\n          highp float Exponent = 2.0 * mod(rgba[0],128.0) + step(128.0,rgba[1]) - 127.0;\\n          highp float Mantissa = mod(rgba[1],128.0)*65536.0 + rgba[2]*256.0 +rgba[3] + float(0x800000);\\n          highp float Result =  Sign * exp2(Exponent) * (Mantissa * exp2(-23.0 ));\\n          return Result;\\n      }\\n        `)}}static isLittleEndian(){const t=new ArrayBuffer(4),e=new Uint32Array(t),n=new Uint8Array(t);if(e[0]=3735928559,239===n[0])return!0;if(222===n[0])return!1;throw new Error(\"unknown endianness\")}}e.EncodingGlslLib=i},9894:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.FragColorGlslLib=void 0;const r=n(8520),i=n(5060);class o extends r.GlslLib{constructor(t){super(t)}getFunctions(){return Object.assign(Object.assign({},this.setFragColor()),this.getColorAsFloat())}getCustomTypes(){return{}}setFragColor(){const t=(0,i.getGlsl)(this.context.glContext.version);return{setFragColor:new r.GlslLibRoutine(`\\n        void setFragColor(float value) {\\n            ${t.output} = encode(value);\\n        }\\n        `,[\"encoding.encode\"])}}getColorAsFloat(){return{getColorAsFloat:new r.GlslLibRoutine(\"\\n        float getColorAsFloat(vec4 color) {\\n            return decode(color);\\n        }\\n        \",[\"encoding.decode\"])}}}e.FragColorGlslLib=o},2848:(t,e)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.replaceInlines=void 0;const n=/@inline[\\s\\n\\r]+(\\w+)[\\s\\n\\r]+([0-9a-zA-Z_]+)\\s*\\(([^)]*)\\)\\s*{(([^}]|[\\n\\r])*)}/gm;e.replaceInlines=function(t){const e={};let r;for(;null!==(r=n.exec(t));){const t=r[3].split(\",\").map((t=>{const e=t.trim().split(\" \");return e&&2===e.length?{type:e[0],name:e[1]}:null})).filter((t=>null!==t));e[r[2]]={params:t,body:r[4]}}for(const n in e){const i=\"(\\\\w+)?\\\\s+([_0-9a-zA-Z]+)\\\\s+=\\\\s+__FUNC__\\\\((.*)\\\\)\\\\s*;\".replace(\"__FUNC__\",n),o=new RegExp(i,\"gm\");for(;null!==(r=o.exec(t));){const i=r[1],o=r[2],a=r[3].split(\",\"),s=i?`${i} ${o};`:\"\";let u=e[n].body,c=\"\";e[n].params.forEach(((t,e)=>{t&&(c+=`${t.type} ${t.name} = ${a[e]};\\n`)})),u=`${c}\\n ${u}`,u=u.replace(\"return\",`${o} = `);const l=`\\n      ${s}\\n      {\\n        ${u}\\n      }\\n      `;t=t.replace(r[0],l)}}return t.replace(n,\"\")}},8879:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.GlslPreprocessor=void 0;const r=n(8520),i=n(2848),o=n(5483),a=n(5060);e.GlslPreprocessor=class{constructor(t,e,n,i){this.libs={},this.glslLibRoutineDependencyGraph={},this.context=new r.GlslContext(t,e,n,i),Object.keys(o.glslRegistry).forEach((t=>{const e=new o.glslRegistry[t](this.context);this.libs[t]=e}));const a=this.glslLibRoutineDependencyGraph;for(const t in this.libs){const e=this.libs[t].getFunctions();for(const n in e){const i=t+\".\"+n;let o;a[i]?(o=a[i],o.routineBody=e[n].routineBody):(o=new r.GlslLibRoutineNode(i,e[n].routineBody),a[i]=o);const s=e[n].dependencies;if(s)for(let t=0;t<s.length;++t)if(a[s[t]])o.addDependency(a[s[t]]);else{const e=new r.GlslLibRoutineNode(s[t]);a[s[t]]=e,o.addDependency(e)}}}}preprocess(){const t=this.context.programInfo;let e=t.shaderSource;return this.context.programInfo.hasMain||(e=`${e}\\n      ${(0,a.getDefaultFragShaderMain)(this.context.glContext.version,this.context.outputTextureLayout.shape.length)}`),e=(0,i.replaceInlines)(e),`${(0,a.getFragShaderPreamble)(this.context.glContext.version)}\\n    ${this.getUniforms(t.inputNames,t.variables)}\\n    ${this.getImports(e)}\\n    ${e}`}getImports(t){const e=this.selectGlslLibRoutinesToBeIncluded(t);if(0===e.length)return\"\";let n=\"\";for(let t=0;t<e.length;++t){if(!e[t].routineBody)throw new Error(`Missing body for the Glsl Library routine: ${e[t].name}`);n+=e[t].routineBody+\"\\n\"}return n}selectGlslLibRoutinesToBeIncluded(t){const e=[];return Object.keys(this.glslLibRoutineDependencyGraph).forEach((n=>{const r=n.split(\".\")[1];-1!==t.indexOf(r)&&e.push(this.glslLibRoutineDependencyGraph[n])})),r.TopologicalSortGlslRoutines.returnOrderedNodes(e)}getUniforms(t,e){const n=[];if(t)for(const e of t)n.push(`uniform sampler2D ${e};`);if(e)for(const t of e)n.push(`uniform ${t.type} ${t.name}${t.arrayLength?`[${t.arrayLength}]`:\"\"};`);return n.join(\"\\n\")}}},5483:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.glslRegistry=void 0;const r=n(5107),i=n(7341),o=n(9894),a=n(2655),s=n(3891);e.glslRegistry={encoding:i.EncodingGlslLib,fragcolor:o.FragColorGlslLib,vec:s.VecGlslLib,shapeUtils:a.ShapeUtilsGlslLib,coordinates:r.CoordsGlslLib}},2655:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.ShapeUtilsGlslLib=void 0;const r=n(8520);class i extends r.GlslLib{constructor(t){super(t)}getFunctions(){return Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},this.bcastIndex()),this.bcastMatmulIndex()),this.offsetToIndices()),this.indicesToOffset()),this.incrementIndices())}getCustomTypes(){return{}}bcastIndex(){const t=this.context.outputTextureLayout.shape.length,e={};return this.context.programInfo.inputNames.forEach(((n,i)=>{const o=this.context.inputTextureLayouts[i].unpackedShape;if(o.length<=t){const i=o.length,a=t-i,s=`bcastIndices_${n}`;let u=\"\";for(let t=0;t<i;++t)u+=`\\n          realIndices[${t}] = int( mod(float(bcastedIndices[${a+t}]), ${o[t]}.0) );\\n          `;const c=`\\n        void ${s} (int bcastedIndices[${t}], out int realIndices[${i}]) {\\n          ${u}\\n        }\\n        `;e[s]=new r.GlslLibRoutine(c)}})),e}bcastMatmulIndex(){const t=this.context.outputTextureLayout.shape.length,e={};return this.context.programInfo.inputNames.forEach(((n,i)=>{const o=this.context.inputTextureLayouts[i].shape;if(!(o.length<2||o.length>t)){const i=o.length,a=t-i,s=`bcastMatmulIndices_${n}`;let u=\"\";for(let t=0;t<i-2;++t)u+=`\\n          realIndices[${t}] = int( mod(float(bcastedIndices[${a+t}]), ${o[t]}.0) );\\n          `;const c=`\\n        void ${s}(int bcastedIndices[${t}], out int realIndices[${i}]) {\\n          ${u}\\n          realIndices[${i-1}] = bcastedIndices[${t-1}];\\n          realIndices[${i-2}] = bcastedIndices[${t-2}];\\n        }\\n        `;e[s]=new r.GlslLibRoutine(c)}})),e}indicesToOffset(){const t={};return this.context.programInfo.inputNames.forEach(((e,n)=>{const o=this.context.inputTextureLayouts[n].shape,a=this.context.inputTextureLayouts[n].strides,s=o.length;let u=`indicesToOffset_${e}`;t[u]=new r.GlslLibRoutine(i.indexToOffsetSingle(u,s,a)),u=`indicesToOffset_${e}_T`,t[u]=new r.GlslLibRoutine(i.indexToOffsetSingle(u,s,a.slice().reverse()))})),t}static indexToOffsetSingle(t,e,n){let r=\"\";for(let t=e-1;t>=0;--t)r+=`\\n        offset += indices[${t}] * ${n[t]};\\n        `;return`\\n      int ${t}(int indices[${e}]) {\\n        int offset = 0;\\n        ${r}\\n        return offset;\\n      }\\n      `}offsetToIndices(){const t={};return this.context.programInfo.inputNames.forEach(((e,n)=>{const o=this.context.inputTextureLayouts[n].shape,a=this.context.inputTextureLayouts[n].strides,s=o.length;let u=`offsetToIndices_${e}`;t[u]=new r.GlslLibRoutine(i.offsetToIndicesSingle(u,s,a)),u=`offsetToIndices_${e}_T`,t[u]=new r.GlslLibRoutine(i.offsetToIndicesSingle(u,s,a.slice().reverse()))})),t}static offsetToIndicesSingle(t,e,n){const r=[];for(let t=0;t<e-1;++t)r.push(`\\n      indices[${t}] = offset / ${n[t]};`),r.push(`\\n        offset -= indices[${t}] * ${n[t]};`);return r.push(`\\n      indices[${e-1}] = offset;`),`\\n      void ${t}(int offset, out int indices[${e}]) {\\n        ${r.join(\"\")}\\n      }\\n      `}incrementIndices(){const t={};return this.context.programInfo.inputNames.forEach(((e,n)=>{const i=this.context.inputTextureLayouts[n].shape,o=i.length,a=`incrementIndices_${e}`;let s=\"\";for(let t=0;t<o;++t)s+=`\\n        shape[${t}] = ${i[t]};`;const u=`\\n        void ${a}(int axis, out int indices[${o}]) {\\n          int shape[${o}];\\n          ${s};\\n          for(int i = ${o} -1 ; i >= 0; --i) {\\n            if(i > axis) continue;\\n            indices[i] += 1;\\n            if(indices[i] < shape[i]) {\\n              break;\\n            }\\n            indices[i] = 0;\\n          }\\n        }\\n        `;t[a]=new r.GlslLibRoutine(u)})),t}}e.ShapeUtilsGlslLib=i},5060:(t,e)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.getDefaultFragShaderMain=e.getFragShaderPreamble=e.getVertexShaderSource=e.getGlsl=void 0;const n={version:\"\",attribute:\"attribute\",varyingVertex:\"varying\",varyingFrag:\"varying\",texture2D:\"texture2D\",output:\"gl_FragColor\",outputDeclaration:\"\"},r={version:\"#version 300 es\",attribute:\"in\",varyingVertex:\"out\",varyingFrag:\"in\",texture2D:\"texture\",output:\"outputColor\",outputDeclaration:\"out vec4 outputColor;\"};function i(t){return 1===t?n:r}e.getGlsl=i,e.getVertexShaderSource=function(t){const e=i(t);return`${e.version}\\n      precision highp float;\\n      ${e.attribute} vec3 position;\\n      ${e.attribute} vec2 textureCoord;\\n\\n      ${e.varyingVertex} vec2 TexCoords;\\n\\n      void main()\\n      {\\n          gl_Position = vec4(position, 1.0);\\n          TexCoords = textureCoord;\\n      }`},e.getFragShaderPreamble=function(t){const e=i(t);return`${e.version}\\n    precision highp float;\\n    precision highp int;\\n    precision highp sampler2D;\\n    ${e.varyingFrag} vec2 TexCoords;\\n    ${e.outputDeclaration}\\n    const vec2 halfCR = vec2(0.5, 0.5);\\n\\n    // Custom vector types to handle higher dimenalities.\\n    struct ivec5\\n    {\\n      int x;\\n      int y;\\n      int z;\\n      int w;\\n      int u;\\n    };\\n\\n    struct ivec6\\n    {\\n      int x;\\n      int y;\\n      int z;\\n      int w;\\n      int u;\\n      int v;\\n    };\\n\\n    int imod(int x, int y) {\\n      return x - y * (x / y);\\n    }\\n\\n    `},e.getDefaultFragShaderMain=function(t,e){return`\\n  void main() {\\n    int indices[${e}];\\n    toVec(TexCoords, indices);\\n    vec4 result = vec4(process(indices));\\n    ${i(t).output} = result;\\n  }\\n  `}},3891:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.VecGlslLib=void 0;const r=n(8520);class i extends r.GlslLib{constructor(t){super(t)}getCustomTypes(){return{}}getFunctions(){return Object.assign(Object.assign(Object.assign(Object.assign({},this.binaryVecFunctions()),this.copyVec()),this.setVecItem()),this.getVecItem())}binaryVecFunctions(){const t=this.context.outputTextureLayout.shape.length,e={add:\"+=\",sub:\"-=\",mul:\"*=\",div:\"/=\"},n={};for(const i in e){const o=`${i}Vec`;let a=\"\";for(let n=0;n<t;++n)a+=`\\n          dest[${n}] ${e[i]} src[${n}];\\n          `;const s=`\\n        void ${o}(int src[${t}], out int dest[${t}]) {\\n          ${a}\\n        }\\n        `;n[o]=new r.GlslLibRoutine(s)}return n}copyVec(){const t=this.context.outputTextureLayout.shape.length;let e=\"\";for(let n=0;n<t;++n)e+=`\\n        dest[${n}] = src[${n}];\\n        `;const n=`\\n      void copyVec(int src[${t}], out int dest[${t}]) {\\n        ${e}\\n      }\\n      `;return{copyVec:new r.GlslLibRoutine(n)}}setVecItem(){const t=this.context.outputTextureLayout.shape.length;let e=`\\n        if(index < 0)\\n            index =${t} + index;\\n        if (index == 0)\\n            m[0] = value;\\n        `;for(let n=1;n<t-1;++n)e+=`\\n        else if (index == ${n})\\n            m[${n}] = value;\\n            `;e+=`\\n        else\\n            m[${t-1}] = value;\\n        `;const n=`\\n      void setVecItem(out int m[${t}], int index, int value) {\\n        ${e}\\n      }\\n        `;return{setVecItem:new r.GlslLibRoutine(n)}}getVecItem(){const t=this.context.outputTextureLayout.shape.length;let e=`\\n        if(index < 0)\\n            index = ${t} + index;\\n        if (index == 0)\\n            return m[0];\\n      `;for(let n=1;n<t-1;++n)e+=`\\n        else if (index == ${n})\\n            return m[${n}];\\n      `;e+=`\\n        else\\n            return m[${t-1}];\\n        `;const n=`\\n      int getVecItem(int m[${t}], int index) {\\n        ${e}\\n      }\\n    `;return{getVecItem:new r.GlslLibRoutine(n)}}}e.VecGlslLib=i},8316:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.WebGLInferenceHandler=void 0;const r=n(6231),i=n(9162),o=n(2517),a=n(2403),s=n(7019),u=n(8710),c=n(5611),l=n(4057),p=n(2039);e.WebGLInferenceHandler=class{constructor(t){this.session=t,this.packedTextureDataCache=new Map,this.unpackedTextureDataCache=new Map}calculateTextureWidthAndHeight(t,e){return(0,l.calculateTextureWidthAndHeight)(this.session.layoutStrategy,t,e)}executeProgram(t,e){if(e.length<t.inputNames.length)throw new Error(`Input size mustn't be less than ${t.inputNames.length}.`);if(t.inputNames.length!==t.inputTypes.length)throw new Error(\"input names size does not match input types\");const n=[];for(let r=0;r<t.inputNames.length;++r)n[r]=this.getOrCreateTextureData(e[r],t.inputTypes[r]);const r=((t,e)=>{const n=e.map((t=>`${t.unpackedShape.join(\",\")};${t.width}x${t.height}`)).join(\"_\");let r=t.name;return t.cacheHint&&(r+=\"[\"+t.cacheHint+\"]\"),r+=\":\"+n,r})(t,n);let i=this.session.programManager.getArtifact(r);const o=i?i.programInfo:\"function\"==typeof t.get?t.get():t,a=(0,l.createTextureLayoutFromTextureType)(this.session.layoutStrategy,o.output.dims,o.output.textureType),s=this.createTextureData(a,o.output.type);return i||(i=this.session.programManager.build(o,n,s),this.session.programManager.setArtifact(r,i)),this.runProgram(i,n,s),s}run(t,e){return this.executeProgram(t,e).tensor}runProgram(t,e,n){for(let n=0;n<e.length;++n)if(!!e[n].isPacked!=(t.programInfo.inputTypes[n]===p.TextureType.packed))throw new Error(`input[${n}] property packed inconsistent`);if(!!n.isPacked!=(t.programInfo.output.textureType===p.TextureType.packed))throw new Error(\"output property packed inconsistent\");this.session.programManager.run(t,e,n)}getOrCreateTextureData(t,e){let n=this.getTextureData(t.dataId,e===p.TextureType.packed);if(!n&&(n=this.getTextureData(t.dataId,e!==p.TextureType.packed),n))return e===p.TextureType.packed?this.pack(n):this.unpack(n);if(!n){const r=(0,l.createTextureLayoutFromTextureType)(this.session.layoutStrategy,t.dims,e);if(e===p.TextureType.packedLastDimension){const n=1,r=4,i=t.dims;if(4===i.length){const o=[i[0],Math.ceil(i[1]*i[2]*i[3]/r)],a=(0,l.createTextureLayoutFromTextureType)(this.session.layoutStrategy,o,e);let s=t.numberData;if(i[1]*i[2]*i[3]%r!=0){const e=i[0],o=i[1]*i[2]*i[3],a=Math.ceil(o*n/r)*r;s=new Float32Array(e*a);for(let r=0;r<e;++r){const e=r*o,i=r*a+r%n*o;s.set(t.numberData.subarray(e,e+o),i)}}return this.createTextureData(a,t.type,s,t,1)}}if(e===p.TextureType.packed){const e=(0,l.createTextureLayoutFromShape)(this.session.layoutStrategy,t.dims,1,[],{reverseWH:!0}),r=this.createTextureData(e,t.type,t.numberData,t,1);n=this.pack(r)}else n=this.createTextureData(r,t.type,t.numberData,t,1)}return n}createTextureDataFromLayoutBindTensor(t,e,n,r){return this.createTextureData(t,e,n,r,1)}createTextureData(t,e,n,i,o){r.Logger.verbose(\"InferenceHandler\",`Creating TextureData: layout:[${JSON.stringify(t)}]`);const a=this.session.textureManager.createTextureFromLayout(e,t,n,o);return this.createTextureDataFromTexture(t,e,a,i)}reshapeUnpacked(t,e){const n=this.getOrCreateTextureData(t,p.TextureType.unpacked),r={channels:n.channels,height:n.height,width:n.width,shape:0!==e.length?e:[1],strides:o.ShapeUtil.computeStrides(e),unpackedShape:e};return this.createTextureDataFromTexture(r,t.type,n.texture).tensor}reshapePacked(t,e){const n=this.getOrCreateTextureData(t,p.TextureType.packed);if((0,s.isReshapeCheap)(t.dims,e)){const r={channels:n.channels,height:n.height,width:n.width,shape:0!==e.length?e:[1],strides:o.ShapeUtil.computeStrides(e),unpackedShape:e,isPacked:!0};return this.createTextureDataFromTexture(r,t.type,n.texture).tensor}const r=(0,s.processDims3D)(t.dims),i=(0,s.processDims3D)(e),a=this.reshapePacked(t,r),u=this.run((0,s.createPackedReshape3DProgramInfoLoader)(this,a,i),[a]);return this.reshapePacked(u,e)}cast(t,e){const n=this.getOrCreateTextureData(t,p.TextureType.unpacked);return this.createTextureDataFromTexture(n,e,n.texture).tensor}createTextureDataFromTexture(t,e,n,r,o){const a=Object.assign(Object.assign({},t),{tensor:r||new i.Tensor(t.unpackedShape,e,(t=>this.readTexture(a)),(async t=>this.readTextureAsync(a)),void 0,o),texture:n});return this.setTextureData(a.tensor.dataId,a,t.isPacked),a}getTextureData(t,e=!1){return this.session.isInitializer(t)?this.session.getTextureData(t,e):e?this.packedTextureDataCache.get(t):this.unpackedTextureDataCache.get(t)}setTextureData(t,e,n=!1){this.session.isInitializer(t)?this.session.setTextureData(t,e,n):(n?this.packedTextureDataCache:this.unpackedTextureDataCache).set(t,e)}isTextureLayoutCached(t,e=!1){return!!this.getTextureData(t.dataId,e)}dispose(){this.session.textureManager.clearActiveTextures(),this.packedTextureDataCache.forEach((t=>this.session.textureManager.releaseTexture(t))),this.packedTextureDataCache=new Map,this.unpackedTextureDataCache.forEach((t=>this.session.textureManager.releaseTexture(t))),this.unpackedTextureDataCache=new Map}readTexture(t){return t.isPacked?this.readTexture(this.unpack(t)):this.session.backend.glContext.isFloat32DownloadSupported?this.session.textureManager.readTexture(t,t.tensor.type,t.channels):this.session.textureManager.readUint8TextureAsFloat((0,u.encodeAsUint8)(this,t))}async readTextureAsync(t){return t.isPacked?this.readTextureAsync(this.unpack(t)):this.session.backend.glContext.isFloat32DownloadSupported?this.session.textureManager.readTextureAsync(t,t.tensor.type,t.channels):this.session.textureManager.readUint8TextureAsFloat((0,u.encodeAsUint8)(this,t))}pack(t){return this.executeProgram((0,a.createPackProgramInfoLoader)(this,t.tensor),[t.tensor])}unpack(t){return this.executeProgram((0,c.createUnpackProgramInfoLoader)(this,t.tensor),[t.tensor])}}},1640:function(t,e,n){\"use strict\";var r=this&&this.__createBinding||(Object.create?function(t,e,n,r){void 0===r&&(r=n);var i=Object.getOwnPropertyDescriptor(e,n);i&&!(\"get\"in 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strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.parseBatchNormalizationAttributes=e.batchNormalization=void 0;const r=n(246),i=n(5060),o=n(2039),a={name:\"BatchNormalization\",inputNames:[\"A\",\"Scale\",\"B\",\"Mean\",\"Variance\"],inputTypes:[o.TextureType.unpacked,o.TextureType.unpacked,o.TextureType.unpacked,o.TextureType.unpacked,o.TextureType.unpacked]};e.batchNormalization=(t,e,n)=>(u(e),[t.run(Object.assign(Object.assign({},a),{cacheHint:n.cacheKey,get:()=>s(t,e,n)}),e)]),e.parseBatchNormalizationAttributes=t=>{const e=t.attributes.getFloat(\"epsilon\",1e-5),n=t.attributes.getFloat(\"momentum\",.9),i=t.attributes.getInt(\"spatial\",1);return(0,r.createAttributeWithCacheKey)({epsilon:e,momentum:n,spatial:i})};const s=(t,e,n)=>{const r=(0,i.getGlsl)(t.session.backend.glContext.version),s=e[0].dims.length,[u,c]=t.calculateTextureWidthAndHeight(e[1].dims,o.TextureType.unpacked),l=`\\n  float process(int[${s}] indices) {\\n    vec2 position = offsetToCoords(indices[1], 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 }\\n  `,name:t,type:i.FunctionType.ValueBased}}function c(){const t=\"mul_\";return{body:`\\n  float ${t}(float a, float b) {\\n    return a * b;\\n  }\\n  vec4 ${t}(vec4 v1, vec4 v2) {\\n    return v1 * v2;\\n  }\\n  `,name:t,type:i.FunctionType.ValueBased}}function l(){const t=\"sub_\";return{body:`\\n  float ${t}(float a, float b) {\\n    return a - b;\\n  }\\n  vec4 ${t}(vec4 v1, vec4 v2) {\\n    return v1 - v2;\\n  }\\n  `,name:t,type:i.FunctionType.ValueBased}}function p(){const t=\"equal_\";return{body:`\\n  float ${t}(float a, float b) {\\n    return float(a == b);\\n  }\\n  vec4 ${t}(vec4 v1, vec4 v2) {\\n    return vec4(equal(v1, v2));\\n  }\\n  `,name:t,type:i.FunctionType.ValueBased}}function f(){const t=\"greater_\";return{body:`\\n  float ${t}(float a, float b) {\\n    return float(a > b);\\n  }\\n  vec4 ${t}(vec4 v1, vec4 v2) {\\n    return vec4( v1.r > v2.r ,\\n      v1.g > v2.g,\\n      v1.b > v2.b,\\n      v1.a > v2.a );\\n  }\\n  `,name:t,type:i.FunctionType.ValueBased}}function d(){const t=\"less_\";return{body:`\\n  float ${t}(float a, float b) {\\n    return float(a < b);\\n  }\\n  vec4 ${t}(vec4 v1, vec4 v2) {\\n    return vec4( v1.r < v2.r ,\\n                v1.g < v2.g,\\n                v1.b < v2.b,\\n                v1.a < v2.a );\\n  }\\n  `,name:t,type:i.FunctionType.ValueBased}}function h(){const t=\"and_\";return{body:`\\n  float ${t}(float a, float b) {\\n    return float( bool(a) && bool(b) );\\n  }\\n  vec4 ${t}(vec4 v1, vec4 v2) {\\n    bvec4 b1 = bvec4(v1);\\n    bvec4 b2 = bvec4(v2);\\n    return vec4( b1.r && b2.r ,\\n                b1.g && b2.g,\\n                b1.b && b2.b,\\n                b1.a && b2.a );\\n  }\\n  `,name:t,type:i.FunctionType.ValueBased}}function g(){const t=\"or_\";return{body:`\\n  float ${t}(float a, float b) {\\n    return float( bool(a) || bool(b) );\\n  }\\n  vec4 ${t}(vec4 v1, vec4 v2) {\\n    bvec4 b1 = bvec4(v1);\\n    bvec4 b2 = bvec4(v2);\\n    return vec4( b1.r || b2.r ,\\n                b1.g || b2.g,\\n                b1.b || b2.b,\\n                b1.a || b2.a );\\n  }\\n  `,name:t,type:i.FunctionType.ValueBased}}function b(){const t=\"xor_\";return{body:`\\n  float ${t}(float a, float b) {\\n    return float( bool(a) ^^ bool(b) );\\n  }\\n  vec4 ${t}(vec4 v1, vec4 v2) {\\n    bvec4 b1 = bvec4(v1);\\n    bvec4 b2 = bvec4(v2);\\n    return vec4( b1.r ^^ b2.r ,\\n                b1.g ^^ b2.g,\\n                b1.b ^^ b2.b,\\n                b1.a ^^ b2.a );\\n  }\\n  `,name:t,type:i.FunctionType.ValueBased}}function m(){return function(t){const e=`${t}_`;return{body:`\\n  float ${e}(float a, float b) {\\n    return ${t}(a, b);\\n  }\\n  vec4 ${e}(vec4 v1, vec4 v2) {\\n    return ${t}(v1, v2);\\n  }\\n  `,name:e,type:i.FunctionType.ValueBased}}(\"pow\")}function y(){const t=\"prelu_\";return{body:`\\n  float ${t}(float a, float b) {\\n    return a < 0.0 ? a * b: a;\\n  }\\n  vec4 ${t}(vec4 v1, vec4 v2) {\\n    return vec4(\\n      v1.r < 0.0 ? v1.r * v2.r: v1.r,\\n      v1.g < 0.0 ? v1.g * v2.g: v1.g,\\n      v1.b < 0.0 ? v1.b * v2.b: v1.b,\\n      v1.a < 0.0 ? v1.a * v2.a: v1.a\\n      );\\n  }\\n  `,name:t,type:i.FunctionType.ValueBased}}e.glslAdd=s,e.glslDiv=u,e.glslMul=c,e.glslSub=l,e.glslEqual=p,e.glslGreater=f,e.glslLess=d,e.glslAnd=h,e.glslOr=g,e.glslXor=b,e.glslPow=m,e.glslPRelu=y;const _=(t,e,n,r=e[0].type,i)=>{const o=t.session.pack?a.TextureType.packed:a.TextureType.unpacked;return{name:n.name,inputNames:[\"A\",\"B\"],inputTypes:[o,o],cacheHint:i,get:()=>v(t,e,n,r)}},v=(t,e,n,i=e[0].type)=>{const s=t.session.pack?a.TextureType.packed:a.TextureType.unpacked,u=!r.ShapeUtil.areEqual(e[0].dims,e[1].dims);let c=e[0].dims;const l=t.session.pack;if(u){const a=r.BroadcastUtil.calcShape(e[0].dims,e[1].dims,!1);if(!a)throw new Error(\"Can't perform binary op on the given tensors\");c=a;const u=c.length,p=0!==e[0].dims.length?e[0].dims.length:1,f=0!==e[1].dims.length?e[1].dims.length:1,d=0!==e[0].dims.length?\"bcastIndices_A(indices, aindices);\":\"aindices[0] = 0;\",h=0!==e[1].dims.length?\"bcastIndices_B(indices, bindices);\":\"bindices[0] = 0;\",g=(0,o.getGlsl)(t.session.backend.glContext.version),b=l?`\\n      ${n.body}\\n      void main() {\\n        vec4 a = getAAtOutCoords();\\n        vec4 b = getBAtOutCoords();\\n        vec4 result = ${n.name}(a, b);\\n        ${g.output} = result;\\n      }`:`\\n      ${n.body}\\n      float process(int indices[${u}]) {\\n        int aindices[${p}];\\n        int bindices[${f}];\\n        ${d}\\n        ${h}\\n        return ${n.name}(_A(aindices), _B(bindices));\\n      }`;return{name:n.name,inputNames:[\"A\",\"B\"],inputTypes:[s,s],output:{dims:c,type:i,textureType:s},shaderSource:b,hasMain:l}}const p=(0,o.getGlsl)(t.session.backend.glContext.version),f=`\\n    ${n.body}\\n    void main() {\\n      vec4 v1 = ${p.texture2D}(A, 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t=0;t<c.length;t++)if(t===u)l[u]+=e[t];else if(c[t]!==e[t])throw new Error(\"non concat dimensions must match\")}const p=l.length,f=(0,a.getChannels)(\"coords\",p),d=(0,o.getCoordsDataType)(p),h=(0,a.unpackFromChannel)(),g=n.map((t=>t.dims)),b=(0,o.getGlChannels)(p),m=new Array(g.length-1);m[0]=g[0][u];for(let t=1;t<m.length;t++)m[t]=m[t-1]+g[t][u];const y=b[u],_=b.slice(-2),v=b.join();let w=`if (${y} < ${m[0]}) {\\n        return getChannel(\\n            getX0(${v}), vec2(${_.join()}));\\n        }`;for(let t=1;t<m.length;t++){const e=m[t-1];w+=`\\n            if (${y} < ${m[t]}  && ${y} >= ${m[t-1]}) {\\n              return getChannel(\\n                getX${t}(${s(b,y,e)}),\\n                vec2(${s(_,y,e)}));\\n            }`}const x=m.length,T=m[m.length-1];w+=`\\n            return getChannel(\\n              getX${x}(${s(b,y,T)}),\\n              vec2(${s(_,y,T)}));`;const S=(0,r.getGlsl)(t.session.backend.glContext.version),O=`\\n          ${h}\\n          float getValue(${b.map((t=>\"int \"+t))}) {\\n            ${w}\\n          }\\n\\n          void main() {\\n            ${d} coords = getOutputCoords();\\n            int lastDim = coords.${b[p-1]};\\n            coords.${b[p-1]} = coords.${b[p-2]};\\n            coords.${b[p-2]} = lastDim;\\n\\n            vec4 result = vec4(getValue(${f}), 0., 0., 0.);\\n\\n            ${f[p-1]} = ${f[p-1]} + 1;\\n            if (${f[p-1]} < ${l[p-1]}) {\\n              result.g = getValue(${f});\\n            }\\n\\n            ${f[p-2]} = ${f[p-2]} + 1;\\n            if (${f[p-2]} < ${l[p-2]}) {\\n              result.a = getValue(${f});\\n            }\\n\\n            ${f[p-1]} = ${f[p-1]} - 1;\\n            if (${f[p-2]} < ${l[p-2]} &&\\n                ${f[p-1]} < ${l[p-1]}) {\\n              result.b = getValue(${f});\\n            }\\n            ${S.output} = result;\\n          }\\n        `;return Object.assign(Object.assign({},e),{output:{dims:l,type:n[0].type,textureType:i.TextureType.packed},shaderSource:O,hasMain:!0})})(t,u,e,n.axis)})};const s=(t,e,n)=>{const r=t.indexOf(e);return t.map(((t,e)=>e===r?`${t} - ${n}`:t)).join()}},2069:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.parseConcatAttributes=e.concat=void 0;const r=n(246),i=n(2039),o=n(1163);e.concat=(t,e,n)=>(p(e),t.session.pack&&e[0].dims.length>1?[t.run((0,o.createPackedConcatProgramInfoLoader)(t,e,n),e)]:[t.run(a(t,e,n),e)]);const a=(t,e,n)=>{const r=(o=e.length,a=n.cacheKey,{name:\"Concat\",inputNames:Array.from({length:o},((t,e)=>`X${e}`)),inputTypes:Array(o).fill(i.TextureType.unpacked),cacheHint:a});var o,a;return Object.assign(Object.assign({},r),{get:()=>((t,e,n,r)=>{const o=n[0].dims.slice();if(r>=o.length||r<-1*o.length)throw new Error(\"axis specified for concat doesn't match input dimensionality\");r<0&&(r=o.length+r);const a=o.slice(0);for(let t=1;t<n.length;t++){const e=n[t].dims.slice();for(let t=0;t<o.length;t++)if(t===r)a[r]+=e[t];else if(o[t]!==e[t])throw new Error(\"non concat dimensions must match\")}const p=a.length,f=new Array(n.length);let d=0;for(let t=0;t<f.length;++t)d+=n[t].dims[r],f[t]=d;let h=\"\";h=n.length<5?s(f):u(f);const g=`\\n        ${c(n.length,p)}\\n        ${l(f)}\\n        ${h}\\n        float process(int indices[${p}]) {\\n          int textureIndex = getTextureWhereDataResides (indices[${r}]);\\n\\n          if(textureIndex != 0) {\\n            indices[${r}] = indices[${r}] - int(getSizeInConcatAxisValueFromIndex(textureIndex-int(1)));\\n          }\\n\\n          return fetchDataFromCorrectTexture(textureIndex, indices);\\n        }`;return Object.assign(Object.assign({},e),{output:{dims:a,type:n[0].type,textureType:i.TextureType.unpacked},shaderSource:g})})(0,r,e,n.axis)})},s=t=>`int getTextureWhereDataResides(int index) {\\n      ${t.map(((t,e)=>`if(index<${t}) {return ${e};}\\n`)).join(\"\")}\\n    }`,u=t=>s(t),c=(t,e)=>{const n=[`float fetchDataFromCorrectTexture(int textureIndex, int indices[${e}]) {`];for(let e=0;e<t;++e)0===e?n.push(`\\tif (textureIndex == ${e}) { return _X${e}(indices); }`):e===t-1?n.push(`\\telse { return _X${e}(indices); }`):n.push(`\\telse if (textureIndex == ${e}) { return _X${e}(indices); }`);return n.push(\"\\t}\"),n.join(\"\\n\")},l=t=>{const e=[\"int getSizeInConcatAxisValueFromIndex(int index) {\"];for(let n=0;n<t.length;++n)0===n?e.push(`\\tif (index == ${n}) { return ${t[n]}; }`):n===t.length-1?e.push(`\\telse { return ${t[n]}; }`):e.push(`\\telse if (index == ${n}) { return ${t[n]}; }`);return e.push(\"\\t}\"),e.join(\"\\n\")};e.parseConcatAttributes=t=>(0,r.createAttributeWithCacheKey)({axis:t.attributes.getInt(\"axis\")});const p=t=>{if(!t||t.length<1)throw new Error(\"too few inputs\");const e=t[0].type,n=t[0].dims.length;if(\"string\"===e)throw new Error(\"string tensor is not supported yet\");for(const r of t){if(r.type!==e)throw new 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d=(0,a.calculateOutputShape)(l,p,u.dilations,u.pads,u.strides),h=(0,i.getGlsl)(t.session.backend.glContext.version),{activationFunction:g,applyActivation:b}=(0,s.getActivationSnippet)(u),m=`\\n  const ivec2 strides = ivec2(${u.strides[0]}, ${u.strides[1]});\\n  const ivec2 pads = ivec2(${u.pads[0]}, ${u.pads[1]});\\n  ${g}\\n  void main() {\\n    ivec4 coords = getOutputCoords();\\n    int batch = coords.x;\\n    int output_channel = coords.y;\\n    ivec2 xRCCorner = coords.zw * strides - pads;\\n    int group_id = output_channel / ${f};\\n\\n    float value = 0.0;\\n    for (int wInChannel = 0; wInChannel < ${p[1]}; wInChannel++) {\\n      int input_channel = group_id * ${p[1]} + wInChannel;\\n      for (int wHeight = 0; wHeight < ${p[2]}; wHeight++) {\\n        int xHeight = xRCCorner.x + wHeight * ${u.dilations[0]};\\n\\n        if (xHeight < 0 || xHeight >= ${l[2]}) {\\n          continue;\\n        }\\n\\n        for (int wWidth = 0; wWidth < ${p[3]}; wWidth++) {\\n          int xWidth = xRCCorner.y + wWidth * ${u.dilations[1]};\\n          if (xWidth < 0 || xWidth >= ${l[3]}) {\\n            continue;\\n          }\\n\\n          float xVal = getX(batch, input_channel, xWidth, xHeight);\\n          float wVal = getW(output_channel, wInChannel, wWidth, wHeight);\\n          value += xVal*wVal;\\n        }\\n      }\\n    }\\n    ${c}\\n    ${b}\\n    ${h.output} = vec4(value, .0, .0, .0);\\n  }\\n`;return Object.assign(Object.assign({},n),{output:{dims:d,type:e[0].type,textureType:o.TextureType.unpacked},shaderSource:m,hasMain:!0})})(t,e,u,n)})}},1386:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.conv2DPacked=e.conv2DPackedPointwise=void 0;const r=n(8138),i=n(8555),o=n(708);e.conv2DPackedPointwise=(t,e,n)=>{const i=e[0].dims,a=e[1].dims,s=(0,r.calculateOutputShape)(i,a,n.dilations,n.pads,n.strides),u=t.reshapePacked(e[0],[i[1],i[2]*i[3]]),c=t.reshapePacked(e[1],[a[0],a[1]]),l=e.length>2?[c,u,e[2]]:[c,u],p=t.run((0,o.createPackedMatmulProgramInfoLoader)(t,l,n),l);return t.reshapePacked(p,s)},e.conv2DPacked=(t,e,n)=>{const a=e[0].dims,s=e[1].dims,u=(0,r.calculateOutputShape)(a,s,n.dilations,n.pads,n.strides),c=t.run((0,i.createPackedIm2ColProgramInfoLoader)(t,e[0],e[1],u,n),[e[0]]),l=t.reshapePacked(e[1],[s[0],s[1]*s[2]*s[3]]),p=3===e.length?[l,c,e[2]]:[l,c],f=t.run((0,o.createPackedMatmulProgramInfoLoader)(t,p,n),p);return t.reshapePacked(f,u)}},9663:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.parseConvTransposeAttributes=e.convTranspose=void 0;const r=n(246),i=n(5060),o=n(2039),a=n(2823),s=(t,e,n,r,i,o)=>(t-1)*e+n+(r-1)*i+1-o,u=(t,e,n,r,i)=>{const o=Math.floor(t/2);\"SAME_UPPER\"===e?(n[r]=o,n[i]=t-o):\"SAME_LOWER\"===e&&(n[r]=t-o,n[i]=o)};e.convTranspose=(t,e,n)=>(f(e,n),c(t,e,n));const c=(t,e,n)=>{const r=p(n,e);return[l(t,e,r)]},l=(t,e,n)=>t.run(((t,e,n)=>{const r=(s=e.length>2,u=n.cacheKey,{name:\"ConvTranspose\",inputNames:s?[\"X\",\"W\",\"B\"]:[\"X\",\"W\"],inputTypes:s?[o.TextureType.unpacked,o.TextureType.unpacked,o.TextureType.unpacked]:[o.TextureType.unpacked,o.TextureType.unpacked],cacheHint:u});var s,u;return Object.assign(Object.assign({},r),{get:()=>((t,e,n,r)=>{const s=e.length>2?\"getB(output_channel)\":\"0.0\",u=e[0].dims,c=e[1].dims,l=c[1],p=c[0]/r.group,f=[e[0].dims[0],e[1].dims[1]*r.group,...r.outputShape],d=(0,i.getGlsl)(t.session.backend.glContext.version),{activationFunction:h,applyActivation:g}=(0,a.getActivationSnippet)(r),b=`\\n  const ivec2 strides = ivec2(${r.strides[0]}, ${r.strides[1]});\\n  const ivec2 pads = ivec2(${r.pads[0]}, ${r.pads[1]});\\n  ${h}\\n  void main() {\\n    ivec4 coords = getOutputCoords();\\n    int batch = coords.x;\\n    int output_channel = coords.y;\\n\\n    ivec2 loc = coords.zw + pads;\\n\\n    int group_id = output_channel / ${l};\\n    int wOutChannel = output_channel - group_id * ${l};\\n\\n    float value = ${s};\\n    for (int inChannelOffset = 0; inChannelOffset < ${p}; inChannelOffset++) {\\n      int input_channel = group_id * ${p} + inChannelOffset;\\n      for (int wWOff = 0; wWOff < ${c[2]}; wWOff++) {\\n        for (int wHOff = 0; wHOff < ${c[3]}; wHOff++) {\\n          ivec2 wOff = ivec2(wWOff * ${r.dilations[0]}, wHOff * ${r.dilations[1]});\\n          ivec2 wLoc = loc - wOff;\\n          ivec2 wLocIn = wLoc / strides;\\n          if (\\n            wLocIn * strides == wLoc &&\\n            wLocIn.x >= 0 && wLocIn.x < ${u[2]} &&\\n            wLocIn.y >= 0 && wLocIn.y < ${u[3]}\\n          ) {\\n            float xVal = getX(batch, input_channel, wLocIn.y, wLocIn.x);\\n            float wVal = getW(input_channel, wOutChannel, wHOff, wWOff);\\n            value += xVal * wVal;\\n          }\\n        }\\n      }\\n    }\\n    ${g}\\n    ${d.output} = vec4(value, .0, .0, .0);\\n  }\\n`;return Object.assign(Object.assign({},n),{output:{dims:f,type:e[0].type,textureType:o.TextureType.unpacked},shaderSource:b,hasMain:!0})})(t,e,r,n)})})(t,e,n),e),p=(t,e)=>{const n=t.kernelShape.slice();if(0===t.kernelShape.length)for(let t=2;t<e[1].dims.length;++t)n.push(e[1].dims[t]);const r=t.pads.slice(),i=t.outputShape.slice();((t,e,n,r,i,o,a,c)=>{const l=t.length-2,p=0===c.length;for(let f=0;f<l;++f){const d=p?t[f+2]*o[f]:c[f],h=s(t[f+2],o[f],i[f],e[f],n[f],d);u(h,r,i,f,f+l),p&&c.push(o[f]*(t[f+2]-1)+a[f]+(e[f]-1)*n[f]+1-i[f]-i[f+l])}})(e[0].dims,n,t.dilations,t.autoPad,r,t.strides,t.outputPadding,i);const o=Object.assign({},t);return Object.assign(o,{kernelShape:n,pads:r,outputShape:i,cacheKey:t.cacheKey}),o};e.parseConvTransposeAttributes=t=>{const e=t.attributes,n=(0,a.parseInternalActivationAttributes)(e),i=e.getString(\"auto_pad\",\"NOTSET\"),o=e.getInts(\"dilations\",[1,1]),s=e.getInt(\"group\",1),u=e.getInts(\"kernel_shape\",[]),c=e.getInts(\"output_padding\",[0,0]),l=e.getInts(\"output_shape\",[]),p=e.getInts(\"pads\",[0,0,0,0]),f=e.getInts(\"strides\",[1,1]);return(0,r.createAttributeWithCacheKey)(Object.assign({autoPad:i,dilations:o,group:s,kernelShape:u,outputPadding:c,outputShape:l,pads:p,strides:f},n))};const f=(t,e)=>{if(!t||2!==t.length&&3!==t.length)throw new Error(\"Conv requires 2 or 3 inputs\");if(4!==t[0].dims.length||4!==t[1].dims.length)throw new Error(\"currently only support 2-dimensional conv\");if(t[0].dims[1]!==t[1].dims[0])throw new Error(\"FILTER_IN_CHANNEL should be equal to DATA_CHANNEL\");const n=t[1].dims[1]*e.group;if(3===t.length&&(1!==t[2].dims.length||t[2].dims[0]!==n))throw new Error(\"invalid bias\");const r=t[0].dims.length-2;if(e.dilations.length!==r)throw new Error(`dilations should be ${r}D`);if(e.strides.length!==r)throw new Error(`strides should be ${r}D`);if(e.pads.length!==2*r)throw new Error(`pads should be ${2*r}D`);if(e.outputPadding.length!==r)throw new Error(`output_padding should be ${r}D`);if(0!==e.kernelShape.length&&e.kernelShape.length!==t[1].dims.length-2)throw new Error(\"invalid kernel shape\");if(0!==e.outputShape.length&&e.outputShape.length!==t[0].dims.length-2)throw new Error(\"invalid output shape\");if(\"float32\"!==t[0].type||\"float32\"!==t[1].type)throw new Error(\"ConvTranspose input(X,W) should be float tensor\");if(3===t.length&&\"float32\"!==t[2].type)throw new Error(\"ConvTranspose input(bias) should be float tensor\")}},8138:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.parseConvAttributes=e.conv=e.calculateOutputShape=void 0;const r=n(246),i=n(2517),o=n(4770),a=n(1386),s=n(9828),u=n(2823),c=n(3248),l=n(5623);e.calculateOutputShape=(t,e,n,r,i)=>{const o=t[0],a=t.slice(2),s=a.length,u=e[0],c=e.slice(2).map(((t,e)=>t+(t-1)*(n[e]-1))),l=a.map(((t,e)=>t+r[e]+r[e+s])).map(((t,e)=>Math.floor((t-c[e]+i[e])/i[e])));return[o,u].concat(...l)},e.conv=(t,e,n)=>(g(e,n),p(t,e,n));const p=(t,e,n)=>{const r=h(n,e),i=t.session.pack,s=1===r.kernelShape[0]&&1===r.kernelShape[1];return r.group>1?[t.run((0,o.createUnpackedGroupedConvProgramInfoLoader)(t,e,r),e)]:s&&i?[f(t,e,r)]:i&&4===e[0].dims.length&&1===e[0].dims[0]&&!s?[(0,a.conv2DPacked)(t,e,r)]:[d(t,e,r)]},f=(t,n,r)=>{const i=n[0].dims,o=n[1].dims,a=(0,e.calculateOutputShape)(i,o,r.dilations,r.pads,r.strides),s=t.reshapeUnpacked(n[0],[i[1],i[2]*i[3]]),u=t.reshapeUnpacked(n[1],[o[0],o[1]]),c=n.length>2?[u,s,n[2]]:[u,s],p=t.run((0,l.createMatmulProgramInfoLoader)(c,r),c);return t.reshapeUnpacked(p,a)},d=(t,n,r)=>{const i=n[0].dims,o=n[1].dims,a=(0,e.calculateOutputShape)(i,o,r.dilations,r.pads,r.strides),u=t.run((0,c.createIm2ColProgramInfoLoader)(t,n[0],n[1],a,r),[n[0]]),l=3===n.length?[u,n[1],n[2]]:[u,n[1]];return t.run((0,s.createDotProductProgramInfoLoader)(t,n,a,r),l)},h=(t,e)=>{const n=t.kernelShape.slice();if(0===t.kernelShape.length)for(let t=2;t<e[1].dims.length;++t)n.push(e[1].dims[t]);const r=t.pads.slice();i.PoolConvUtil.adjustPadsBasedOnAutoPad(e[0].dims,t.strides,t.dilations,n,r,t.autoPad);const o=Object.assign({},t);return Object.assign(o,{kernelShape:n,pads:r,cacheKey:t.cacheKey}),o};e.parseConvAttributes=t=>{const e=t.attributes,n=(0,u.parseInternalActivationAttributes)(e),i=e.getString(\"auto_pad\",\"NOTSET\"),o=e.getInts(\"dilations\",[1,1]),a=e.getInt(\"group\",1),s=e.getInts(\"kernel_shape\",[]),c=e.getInts(\"pads\",[0,0,0,0]),l=e.getInts(\"strides\",[1,1]);return(0,r.createAttributeWithCacheKey)(Object.assign({autoPad:i,dilations:o,group:a,kernelShape:s,pads:c,strides:l},n))};const g=(t,e)=>{if(!t||2!==t.length&&3!==t.length)throw new Error(\"Conv requires 2 or 3 inputs\");if(4!==t[0].dims.length||4!==t[1].dims.length)throw new Error(\"currently only support 2-dimensional conv\");if(t[0].dims[1]!==t[1].dims[1]*e.group)throw new Error(\"FILTER_IN_CHANNEL should be equal to DATA_CHANNEL\");if(3===t.length&&(1!==t[2].dims.length||t[1].dims[0]!==t[2].dims[0]))throw new Error(\"invalid bias\");const n=t[0].dims.length-2;if(e.dilations.length!==n)throw new Error(`dilations should be ${n}D`);if(e.strides.length!==n)throw new Error(`strides should be ${n}D`);if(e.pads.length!==2*n)throw new Error(`pads should be ${2*n}D`);if(0!==e.kernelShape.length&&e.kernelShape.length!==t[1].dims.length-2)throw new Error(\"invalid kernel shape\");if(\"float32\"!==t[0].type||\"float32\"!==t[1].type)throw new Error(\"Conv input(X,W) should be float tensor\");if(3===t.length&&\"float32\"!==t[2].type)throw new Error(\"Conv input(bias) should be float tensor\")}},5193:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.parseDepthToSpaceAttributes=e.depthToSpace=void 0;const r=n(3738);e.depthToSpace=(t,e,n)=>{i(e);const o=n.blocksize,a=o*o,s=\"DCR\"===n.mode?[0,3,4,1,5,2]:[0,1,4,2,5,3],u=\"DCR\"===n.mode?[e[0].dims[0],o,o,e[0].dims[1]/a,e[0].dims[2],e[0].dims[3]]:[e[0].dims[0],e[0].dims[1]/a,o,o,e[0].dims[2],e[0].dims[3]],c=t.reshapeUnpacked(e[0],u),l={perm:s,cacheKey:`${s}`},[p]=(0,r.transpose)(t,[c],l),f=[e[0].dims[0],e[0].dims[1]/a,e[0].dims[2]*o,e[0].dims[3]*o];return[t.reshapeUnpacked(p,f)]},e.parseDepthToSpaceAttributes=t=>{const e=t.attributes.getInt(\"blocksize\");if(e<1)throw new Error(`blocksize must be >= 1, but got : ${e} for DepthToSpace`);const n=t.attributes.getString(\"mode\",\"DCR\");if(\"DCR\"!==n&&\"CRD\"!==n)throw new Error(`unrecognized mode: ${n} for DepthToSpace`);return{mode:n,blocksize:e}};const i=t=>{if(1!==t.length)throw new Error(`DepthToSpace expect 1 inputs, but got ${t.length}`);if(\"string\"===t[0].type||4!==t[0].dims.length)throw new TypeError(\"DepthToSpace input should be a 4-D numeric tensor\")}},9828:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.createDotProductProgramInfoLoader=void 0;const r=n(2517),i=n(5060),o=n(2039),a=n(2823),s=n(3248);e.createDotProductProgramInfoLoader=(t,e,n,u)=>{const c=((t,e)=>({name:\"ConvDotProduct\",inputNames:t?[\"Im2Col\",\"K\",\"B\"]:[\"Im2Col\",\"K\"],inputTypes:t?[o.TextureType.unpacked,o.TextureType.packedLastDimension,o.TextureType.unpacked]:[o.TextureType.unpacked,o.TextureType.packedLastDimension],cacheKey:e.activationCacheKey}))(e.length>2,u);return Object.assign(Object.assign({},c),{get:()=>((t,e,n,u,c)=>{const l=n[0].dims,p=n[1].dims,f=[p[0],Math.ceil(l[1]*p[2]*p[3]/4)],d=(0,s.calculateIm2ColDims)(l,p,u),[h,g]=t.calculateTextureWidthAndHeight(f,o.TextureType.packedLastDimension),b=r.ShapeUtil.computeStrides(d),[m,y]=t.calculateTextureWidthAndHeight(d,o.TextureType.packedLastDimension),_=u.length,v=n.length<3?\"0.0\":\"_B(b)\",w=Math.ceil(l[1]*p[2]*p[3]/4),{activationFunction:x,applyActivation:T}=(0,a.getActivationSnippet)(c),S=(0,i.getGlsl)(t.session.backend.glContext.version),O=`\\n${x}\\nfloat process(int indices[${_}]) {\\n  int b[1];\\n  b[0] = indices[1];\\n  int im2col[4];\\n  im2col[0] = indices[0];\\n  im2col[1] = indices[2];\\n  im2col[2] = indices[3];\\n  int im2colOffset = im2col[0] * ${b[0]} + im2col[1] * ${b[1]} + im2col[2] * ${b[2]};\\n  int kernelOffset = indices[1] * ${f[1]};\\n  float value = ${v};\\n  for (int i = 0; i < ${w}; ++i) {\\n    vec2 im2colCoords = offsetToCoords(im2colOffset, ${m}, ${y});\\n    vec2 kernelCoords = offsetToCoords(kernelOffset, ${h}, ${g});\\n    value += dot(${S.texture2D}(Im2Col, im2colCoords), ${S.texture2D}(K, kernelCoords));\\n    ++im2colOffset;\\n    ++kernelOffset;\\n  }\\n  ${T}\\n  return value;\\n}`;return Object.assign(Object.assign({},e),{output:{dims:u,type:n[0].type,textureType:o.TextureType.unpacked},shaderSource:O})})(t,c,e,n,u)})}},7992:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.parseFlattenAttributes=e.flatten=void 0;const r=n(2517);e.flatten=(t,e,n)=>{i(e,n);const o=r.ShapeUtil.flattenShape(e[0].dims,n);return[t.reshapeUnpacked(e[0],o)]},e.parseFlattenAttributes=t=>t.attributes.getInt(\"axis\",1);const i=(t,e)=>{if(!t||1!==t.length)throw new Error(\"Flatten requires 1 input.\");const n=t[0].dims.length;if(0===n)throw new Error(\"scalar tensor is not supported.\");if(e<-n||e>n)throw new Error(\"Invalid axis\");if(\"string\"===t[0].type)throw new Error(\"string tensor is not supported.\")}},2823:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.parseInternalActivationAttributes=e.getActivationSnippet=void 0;const r=n(2517),i=n(4909);e.getActivationSnippet=function(t){let e;switch(t.activation){case\"Relu\":e=(0,i.glslRelu)();break;case\"Sigmoid\":e=(0,i.glslSigmoid)();break;case\"Clip\":e=(0,i.glslClip)(t.clipMin,t.clipMax);break;default:return{activationFunction:\"\",applyActivation:\"\"}}const n=e.name;return{activationFunction:e.body,applyActivation:`value = ${n}_(value);`}},e.parseInternalActivationAttributes=t=>{const e=t.getString(\"activation\",\"\");if(\"Clip\"===e){const[n,i]=t.getFloats(\"activation_params\",[r.MIN_CLIP,r.MAX_CLIP]);return{activation:e,clipMax:i,clipMin:n,activationCacheKey:`${e}:${n},${i}`}}return{activation:e,activationCacheKey:e}}},1253:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.parseGatherAttributes=e.gather=void 0;const r=n(246),i=n(782),o=n(2517),a=n(2039);e.gather=(t,e,n)=>(c(e,n.axis),[t.run(u(t,e,n),e)]),e.parseGatherAttributes=t=>(0,r.createAttributeWithCacheKey)({axis:t.attributes.getInt(\"axis\",0)});const s={name:\"Gather\",inputNames:[\"A\",\"B\"],inputTypes:[a.TextureType.unpacked,a.TextureType.unpacked]},u=(t,e,n)=>{const r=Object.assign(Object.assign({},s),{cacheHint:n.cacheKey});return Object.assign(Object.assign({},r),{get:()=>((t,e,n,r)=>{const i=n[0].dims.slice(),s=n[1].dims.slice(),u=new Array(i.length+s.length-1);r=o.ShapeUtil.normalizeAxis(r,i.length);const c=[];for(let t=0;t<u.length;t++)t<r?(u[t]=i[t],c.push(`inputIdx[${t}] = outputIdx[${t}];`)):t<r+s.length?(u[t]=s[t-r],c.push(`indexDataIdx[${t-r}] = outputIdx[${t}];`)):(u[t]=i[t-s.length+1],c.push(`inputIdx[${t-s.length+1}] = outputIdx[${t}];`));const l=`\\n      float process(int outputIdx[${u.length||1}]) {\\n        int inputIdx[${i.length}];\\n        int indexDataIdx[${s.length||1}];\\n        indexDataIdx[0] = 0;\\n        ${c.join(\"\\n        \")}\\n        int idx = int(_B(indexDataIdx));\\n        inputIdx[${r}] = idx < 0 ? idx + ${i[r]} : idx;\\n        return _A(inputIdx);\\n      }`;return Object.assign(Object.assign({},e),{output:{dims:u,type:n[0].type,textureType:a.TextureType.unpacked},shaderSource:l})})(0,r,e,n.axis)})},c=(t,e)=>{if(!t||2!==t.length)throw new Error(\"Gather requires 2 inputs.\");const n=t[0].dims.length;if(n<1)throw new Error(\"Invalid input shape.\");if(e<-n||e>n-1)throw new Error(\"Invalid axis.\");if(-1===i.NUMBER_TYPES.indexOf(t[0].type))throw new Error(\"Invaid input type.\");if(\"int32\"!==t[1].type&&\"int16\"!==t[1].type)throw new Error(\"Invaid input type.\")}},4776:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.parseGemmAttributesV11=e.parseGemmAttributesV7=e.gemm=void 0;const r=n(246),i=n(2517),o=n(2039);e.gemm=(t,e,n)=>(c(e,n),[t.run(s(e,n),e)]);const a=(t,e)=>{const n=0!==t.attributes.getInt(\"transA\",0),i=0!==t.attributes.getInt(\"transB\",0),o=t.attributes.getFloat(\"alpha\",1),a=t.attributes.getFloat(\"beta\",1);return(0,r.createAttributeWithCacheKey)({transA:n,transB:i,alpha:o,beta:a,isOptionalC:e})};e.parseGemmAttributesV7=t=>a(t,!1),e.parseGemmAttributesV11=t=>a(t,!0);const s=(t,e)=>{const n={name:\"Gemm\",inputNames:3===t.length?[\"A\",\"B\",\"C\"]:[\"A\",\"B\"],inputTypes:3===t.length?[o.TextureType.unpacked,o.TextureType.unpacked,o.TextureType.unpacked]:[o.TextureType.unpacked,o.TextureType.unpacked],key:e.cacheKey};return Object.assign(Object.assign({},n),{get:()=>u(n,t,e)})},u=(t,e,n)=>{const r=e[0].dims.slice(),a=e[1].dims.slice(),[s,u]=i.GemmUtil.getShapeOfGemmResult(r,n.transA,a,n.transB,3===e.length?e[2].dims:void 0),c=[s,u];if(!c)throw new Error(\"Can't use gemm on the given tensors\");let l=r[r.length-1],p=\"\";n.transA&&(l=r[0]),n.transA&&n.transB?p=\"value += _A_T(a) * _B_T(b);\":n.transA&&!n.transB?p=\"value += _A_T(a) * _B(b);\":!n.transA&&n.transB?p=\"value += _A(a) * _B_T(b);\":n.transA||n.transB||(p=\"value += _A(a) * _B(b);\");const f=c.length,d=`\\n      float process(int indices[${f}]) {\\n          int a[${f}];\\n          int b[${f}];\\n          ${3===e.length?`int c[${e[2].dims.length}];`:\"\"}\\n\\n          copyVec(indices, a);\\n          copyVec(indices, b);\\n          ${3===e.length?\"bcastIndices_C(indices, c);\":\"\"}\\n\\n          float value = 0.0;\\n          for (int k=0; k<${l}; ++k) {\\n              a[${f-1}] = k;\\n              b[${f-2}] = k;\\n              ${p}\\n          }\\n\\n          value = value * alpha;\\n          ${3===e.length?\"value += beta * _C(c);\":\"\"}\\n          return value;\\n      }`;return Object.assign(Object.assign({},t),{output:{dims:c,type:e[0].type,textureType:o.TextureType.unpacked},variables:[{name:\"alpha\",type:\"float\",data:n.alpha},{name:\"beta\",type:\"float\",data:n.beta}],shaderSource:d})},c=(t,e)=>{if(!t)throw new Error(\"Input is missing\");if(e.isOptionalC&&(t.length<2||t.length>3))throw new Error(\"Invaid input shape.\");if(!e.isOptionalC&&3!==t.length)throw new Error(\"Gemm requires 3 inputs\");if(3===t.length&&1!==t[2].dims.length&&2!==t[2].dims.length)throw new Error(\"Invalid input shape of C\");if(\"float32\"!==t[0].type&&\"float64\"!==t[0].type||\"float32\"!==t[1].type&&\"float64\"!==t[1].type||3===t.length&&\"float32\"!==t[2].type&&\"float64\"!==t[2].type)throw new Error(\"Invalid input type.\");if(t[0].type!==t[1].type||3===t.length&&t[0].type!==t[2].type)throw new Error(\"Input types are mismatched\")}},8555:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.createPackedIm2ColProgramInfoLoader=void 0;const r=n(5060),i=n(2039),o=n(2827);e.createPackedIm2ColProgramInfoLoader=(t,e,n,a,s)=>{const u=(c=s.cacheKey,{name:\"Im2Col (packed)\",inputNames:[\"A\"],inputTypes:[i.TextureType.packed],cacheHint:c});var c;return Object.assign(Object.assign({},u),{get:()=>((t,e,n,a,s,u)=>{const c=n.dims,l=a.dims,p=s.length,f=[l[1]*l[2]*l[3],s[2]*s[3]],d=l[2]*l[3],h=(0,o.unpackFromChannel)(),g=(0,r.getGlsl)(t.session.backend.glContext.version);let b=\"\";for(let t=0;t<=1;t++)for(let e=0;e<=1;e++)b+=`\\n            blockIndex = rc.x + ${e};\\n            pos = rc.y + ${t};\\n\\n            if(blockIndex < ${f[1]} && pos < ${f[0]}) {\\n              offsetY = int(blockIndex / (${s[p-1]})) * ${u.strides[0]} -\\n                ${u.pads[0]};\\n              d0 = offsetY + ${u.dilations[0]} * (imod(pos, ${d}) / ${l[2]});\\n\\n              if(d0 < ${c[2]} && d0 >= 0) {\\n                offsetX = imod(blockIndex, ${s[p-1]}) * ${u.strides[1]} -\\n                  ${u.pads[1]};\\n                d1 = offsetX + ${u.dilations[1]} * imod(imod(pos, ${d}), ${l[2]});\\n\\n                if(d1 < ${c[3]} && d1 >= 0) {\\n\\n                  ch = int(float(pos)/ ${d}.);\\n                    innerDims = vec2(d0, d1);\\n                    result[${2*t+e}] = getChannel(\\n                      getA(0, ch, int(innerDims.x),\\n                      int(innerDims.y)), innerDims);\\n                }\\n              }\\n            }\\n\\n          `;const m=`\\n      ${h}\\n\\n      void main() {\\n        ivec2 rc = getOutputCoords();\\n          vec4 result = vec4(0.0);\\n          int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\\n          vec2 innerDims;\\n          ${b}\\n          ${g.output} = result;\\n      }\\n            `;return Object.assign(Object.assign({},e),{output:{dims:f,type:n.type,textureType:i.TextureType.packed},shaderSource:m,hasMain:!0})})(t,u,e,n,a,s)})}},3248:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.calculateIm2ColDims=e.createIm2ColProgramInfoLoader=void 0;const r=n(2039);e.createIm2ColProgramInfoLoader=(t,n,i,o,a)=>{const s=(u=a.cacheKey,{name:\"Im2Col\",inputNames:[\"X\"],inputTypes:[r.TextureType.unpacked],cacheHint:u});var u;return Object.assign(Object.assign({},s),{get:()=>((t,n,i,o,a,s)=>{const u=i.dims,c=o.dims,l=a.length,p=(0,e.calculateIm2ColDims)(u,c,a,4),f=`\\n        const int XC = ${u[1]};\\n        const int XH = ${u[2]};\\n        const int XW = ${u[3]};\\n        const int KH = ${s.kernelShape[0]};\\n        const int KW = ${s.kernelShape[1]};\\n        const int dilationH = ${s.dilations[0]};\\n        const int dilationW = ${s.dilations[1]};\\n        const int strideH = ${s.strides[0]};\\n        const int strideW = ${s.strides[1]};\\n        const int padH = ${s.pads[0]};\\n        const int padW = ${s.pads[1]};\\n        const int KHKW = KH*KW;\\n        const int XCKHKW = XC * KHKW;\\n        const int outputChannels = 4;\\n        vec4 process(int indices[${l}]) {\\n          int b  = indices[0]; // batch size\\n          int oh = indices[1] * strideH - padH; //output height\\n          int ow = indices[2] * strideW - padW; //output width\\n          int p = indices[3] * outputChannels; //patch\\n          vec4 value = vec4(0.0);\\n          for(int i=0; i < outputChannels; ++i) {\\n            if(p < XCKHKW) {\\n              int patchC = p / KHKW;\\n              int patchH = (p - patchC*KHKW) / KW;\\n              int patchW = (p - patchC*KHKW) - patchH * KW;\\n              int xh2 = oh + patchH * dilationH;\\n              int xw2 = ow + patchW * dilationW;\\n              int x[${u.length}];\\n              x[0] = b;\\n              x[1] = patchC;\\n              x[2] = xh2;\\n              x[3] = xw2;\\n              if(xh2 >= 0 &&\\n                  xh2 < XH &&\\n                  xw2 >= 0 &&\\n                  xw2 < XW) {\\n                value[i] = _X(x);\\n              }\\n            }\\n            ++p;\\n          }\\n          return value;\\n        }\\n        `;return Object.assign(Object.assign({},n),{output:{dims:p,type:i.type,textureType:r.TextureType.packedLastDimension},shaderSource:f})})(0,s,n,i,o,a)})},e.calculateIm2ColDims=(t,e,n,r=4)=>[n[0],n[2],n[3],Math.ceil(t[1]*e[2]*e[3]/r)]},6572:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.parseImageScalerAttributes=e.imageScaler=void 0;const r=n(246),i=n(2039);e.imageScaler=(t,e,n)=>(u(e),[t.run(a(t,e,n),e)]),e.parseImageScalerAttributes=t=>{const e=t.attributes.getFloat(\"scale\"),n=t.attributes.getFloats(\"bias\");return(0,r.createAttributeWithCacheKey)({scale:e,bias:n})};const o={name:\"ImageScaler\",inputNames:[\"X\"],inputTypes:[i.TextureType.unpacked]},a=(t,e,n)=>{const r=Object.assign(Object.assign({},o),{cacheHint:n.cacheKey});return Object.assign(Object.assign({},r),{get:()=>((t,e,n,r)=>{const o=n[0].dims.slice(),a=o.length,u=`\\n      ${s(r.bias.length)}\\n      float process(int indices[${a}]) {\\n        return _X(indices) * scale + getBias(bias, indices[1]);\\n      }`;return Object.assign(Object.assign({},e),{output:{dims:o,type:n[0].type,textureType:i.TextureType.unpacked},variables:[{name:\"bias\",type:\"float\",arrayLength:r.bias.length,data:r.bias},{name:\"scale\",type:\"float\",data:r.scale}],shaderSource:u})})(0,r,e,n)})},s=t=>{const e=[`float getBias(float bias[${t}], int channel) {`];for(let n=0;n<t;++n)0===n?e.push(`\\tif (channel == ${n}) { return bias[${n}]; }`):n===t-1?e.push(`\\telse { return bias[${n}]; }`):e.push(`\\telse if (channel == ${n}) { return bias[${n}]; }`);return e.push(\"\\t}\"),e.join(\"\\n\")},u=t=>{if(!t||1!==t.length)throw new Error(\"ImageScaler requires 1 input.\");if(4!==t[0].dims.length)throw new Error(\"Invalid input shape.\");if(\"float32\"!==t[0].type&&\"float64\"!==t[0].type)throw new Error(\"Invalid input type.\")}},3346:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.parseInstanceNormalizationAttributes=e.instanceNormalization=void 0;const r=n(5060),i=n(2039);e.instanceNormalization=(t,e,n)=>{c(e);const r=t.run(a(e[0]),e);return[t.run(u(t,e[0],n,r.dims),[e[0],r,e[1],e[2]])]},e.parseInstanceNormalizationAttributes=t=>t.attributes.getFloat(\"epsilon\",1e-5);const o={name:\"InstanceNormalization_MeanAndVariance\",inputNames:[\"X\"],inputTypes:[i.TextureType.unpacked]},a=t=>Object.assign(Object.assign({},o),{get:()=>((t,e)=>{const n=e.dims.slice(),r=n[1],o=n[2]*n[3],a=[n[0],r],s=`\\n      vec4 process(int[2] indices) {\\n        vec4 v = vec4(0.0);\\n        int a[4];\\n        a[0] = indices[0];\\n        a[1] = indices[1];\\n        float temp = 0.0;\\n        for(int a2=0; a2<${n[2]}; a2++) {\\n          a[2] = a2;\\n          for(int a3=0; a3<${n[3]}; a3++) {\\n            a[3] = a3;\\n            float x = _X(a);\\n            temp += x;\\n          }\\n        }\\n        float mean = temp / float(${o});\\n        temp = 0.0;\\n        for(int a2=0; a2<${n[2]}; a2++) {\\n          a[2] = a2;\\n          for(int a3=0; a3<${n[3]}; a3++) {\\n            a[3] = a3;\\n            float x = _X(a);\\n            temp += (x - mean) * (x - mean);\\n          }\\n        }\\n        v.r = mean;\\n        v.g = temp / float(${o});\\n\\n        return v;\\n      }`;return Object.assign(Object.assign({},t),{output:{dims:a,type:e.type,textureType:i.TextureType.packedLastDimension},shaderSource:s})})(o,t)}),s={name:\"InstanceNormalization_ComputeOutput\",inputNames:[\"X\",\"MeanAndVariance\",\"Scale\",\"B\"],inputTypes:[i.TextureType.unpacked,i.TextureType.packedLastDimension,i.TextureType.unpacked,i.TextureType.unpacked]},u=(t,e,n,o)=>{const a=Object.assign(Object.assign({},s),{cacheHint:`${n}`});return Object.assign(Object.assign({},a),{get:()=>((t,e,n,o,a)=>{const s=(0,r.getGlsl)(t.session.backend.glContext.version),[u,c]=t.calculateTextureWidthAndHeight(a,i.TextureType.packedLastDimension),[l,p]=[u/4,c],f=`\\n      vec4 get_MeanAndVariance(int[2] mv) {\\n        int offset = indicesToOffset_MeanAndVariance(mv);\\n        vec2 coords = offsetToCoords(offset, ${l}, ${p});\\n        return ${s.texture2D}(MeanAndVariance, coords);\\n      }\\n\\n      float process(int[4] indices) {\\n        int mv[2];\\n        mv[0] = indices[0];\\n        mv[1] = indices[1];\\n        vec4 mean_and_variance = get_MeanAndVariance(mv);\\n        float mean = mean_and_variance.r;\\n        float variance = mean_and_variance.g;\\n\\n        int sb[1];\\n        sb[0] = indices[1];\\n        float scale = _Scale(sb);\\n        float b = _B(sb);\\n\\n        return scale * (_X(indices) - mean) / sqrt(variance + epsilon) + b;\\n      }`;return Object.assign(Object.assign({},e),{output:{dims:n.dims,type:n.type,textureType:i.TextureType.unpacked},variables:[{name:\"epsilon\",type:\"float\",data:o}],shaderSource:f})})(t,a,e,n,o)})},c=t=>{if(!t||3!==t.length)throw new Error(\"InstanceNormalization requires 3 inputs.\");const e=t[0],n=t[1],r=t[2];if(e.dims.length<3||1!==n.dims.length||1!==r.dims.length)throw new Error(\"Invalid input shape.\");if(n.dims[0]!==e.dims[1]||r.dims[0]!==e.dims[1])throw new Error(\"Input shapes are mismatched.\");if(\"float32\"!==e.type&&\"float64\"!==e.type||\"float32\"!==n.type&&\"float64\"!==n.type||\"float32\"!==r.type&&\"float64\"!==r.type)throw new Error(\"Invalid input type.\");if(4!==t[0].dims.length)throw new Error(\"Only support 4-D input shape.\")}},708:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.createPackedMatmulProgramInfoLoader=void 0;const r=n(2517),i=n(5060),o=n(2039),a=n(9390),s=n(2823),u=n(5623);e.createPackedMatmulProgramInfoLoader=(t,e,n)=>{const c=(l=e.length>2,p=n.activationCacheKey,{name:\"MatMul (packed)\",inputNames:l?[\"A\",\"B\",\"Bias\"]:[\"A\",\"B\"],inputTypes:l?[o.TextureType.packed,o.TextureType.packed,o.TextureType.packed]:[o.TextureType.packed,o.TextureType.packed],cacheHint:p});var l,p;return Object.assign(Object.assign({},c),{get:()=>((t,e,n,c)=>{const l=n.length>2,p=l?\"value += getBiasForMatmul();\":\"\",f=n[0].dims,d=n[1].dims,h=r.BroadcastUtil.calcShape(f,d,!0),g=!r.ShapeUtil.areEqual(n[0].dims,n[1].dims);if(!h)throw new Error(\"Can't use matmul on the given tensors\");const b=f[f.length-1],m=Math.ceil(b/2),y=f.length,_=d.length,v=(0,i.getGlsl)(t.session.backend.glContext.version),w=(0,a.getCoordsDataType)(h.length),x=h.length,T=(0,a.getGlChannels)(),{activationFunction:S,applyActivation:O}=(0,s.getActivationSnippet)(c),A=l?`${(0,u.getBiasForMatmul)(w,T,n[2].dims,h,!0)}`:\"\",E=g?`${function(t,e,n,i){let o=[],a=[];const s=n[0].dims,u=n[1].dims,c=s.length,l=u.length,p=i.length,f=p-c,d=p-l;o=s.map(((t,n)=>`coords.${e[n+f]}`)),o[c-1]=\"i*2\",o.join(\", \"),a=u.map(((t,n)=>`coords.${e[n+d]}`)),a[l-2]=\"i*2\",a.join(\", \");const h=r.BroadcastUtil.getBroadcastDims(s,i),g=r.BroadcastUtil.getBroadcastDims(u,i),b=h.map((t=>`coords.${e[t+f]} = 0;`)).join(\"\\n\"),m=g.map((t=>`coords.${e[t+d]} = 0;`)).join(\"\\n\"),y=`int lastDim = coords.${e[p-1]};\\n  coords.${e[p-1]} = coords.${e[p-2]};\\n  coords.${e[p-2]} = lastDim;`;return`\\nvec4 getAAtOutCoordsMatmul(int i) {\\n  ${t} coords = getOutputCoords();\\n  ${y}\\n  ${b}\\n  vec4 outputValue = getA(${o});\\n  return outputValue;\\n}\\n\\nvec4 getBAtOutCoordsMatmul(int i) {\\n  ${t} coords = getOutputCoords();\\n  ${y}\\n  ${m}\\n  vec4 outputValue = getB(${a});\\n  return outputValue;\\n}`}(w,T,n,h)}`:\"\",I=g?\"getAAtOutCoordsMatmul(i)\":`getA(${function(t,e){let n=\"\";for(let r=0;r<e-2;r++)n+=`rc.${t[r]}, `;return n+=`rc.${t[e-2]}, i*2`,n}(T,y)})`,P=g?\"getBAtOutCoordsMatmul(i)\":`getB(${function(t,e){let n=\"\";for(let r=0;r<e-2;r++)n+=`rc.${t[r]}, `;return n+=`i*2, rc.${t[e-1]}`,n}(T,_)})`,D=`\\n            ${E}\\n            ${A}\\n            ${S}\\n            void main() {\\n              ${g?\"\":`${w} rc =\\n          getOutputCoords(); int lastDim = rc.${T[x-1]}; rc.${T[x-1]} =\\n          rc.${T[x-2]}; rc.${T[x-2]} = lastDim;\\n      `}\\n\\n              vec4 value = vec4(0);\\n              for (int i = 0; i < ${m}; i++) {\\n                vec4 a = ${I};\\n                vec4 b = ${P};\\n\\n                value += (a.rrbb * b.rgrg);\\n                value += (a.ggaa * b.baba);\\n              }\\n              ${p}\\n              ${O}\\n              ${v.output} = value;\\n            }`;return Object.assign(Object.assign({},e),{output:{dims:h,type:n[0].type,textureType:o.TextureType.packed},shaderSource:D,hasMain:!0})})(t,c,e,n)})}},5623:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.getBiasForMatmul=e.createMatmulProgramInfoLoader=e.parseMatMulAttributes=e.matMul=void 0;const r=n(2517),i=n(2039),o=n(9390),a=n(2823),s=n(708);function u(t,e){const n=(s=t.length>2,u=e.activationCacheKey,{name:\"MatMul\",inputNames:s?[\"A\",\"B\",\"Bias\"]:[\"A\",\"B\"],inputTypes:s?[i.TextureType.unpacked,i.TextureType.unpacked,i.TextureType.unpacked]:[i.TextureType.unpacked,i.TextureType.unpacked],cacheHint:u});var s,u;return Object.assign(Object.assign({},n),{get:()=>function(t,e,n){const s=e[0].dims,u=e[1].dims,c=r.BroadcastUtil.calcShape(s,u,!0);if(!c)throw new Error(\"Can't use matmul on the given tensors\");const p=(0,o.getCoordsDataType)(c.length),f=(0,o.getGlChannels)(),{activationFunction:d,applyActivation:h}=(0,a.getActivationSnippet)(n),g=e.length>2,b=g?\"value += getBiasForMatmul();\":\"\",m=g?`${l(p,f,e[2].dims,c,!1)}`:\"\",y=c.length,_=s.length,v=u.length,w=`\\n    ${d}\\n    ${m}\\n    float process(int indices[${y}]) {\\n        int a[${_}];\\n        int b[${v}];\\n        bcastMatmulIndices_A(indices, a);\\n        bcastMatmulIndices_B(indices, b);\\n\\n        float value;\\n        for (int k=0; k<${s[s.length-1]}; ++k) {\\n            a[${_-1}] = k;\\n            b[${v-2}] = k;\\n            value += _A(a) * _B(b);\\n        }\\n        ${b}\\n        ${h}\\n        return value;\\n    }`;return Object.assign(Object.assign({},t),{output:{dims:c,type:e[0].type,textureType:i.TextureType.unpacked},shaderSource:w})}(n,t,e)})}e.matMul=(t,e,n)=>(c(e),t.session.pack?[t.run((0,s.createPackedMatmulProgramInfoLoader)(t,e,n),e)]:[t.run(u(e,n),e)]),e.parseMatMulAttributes=t=>(0,a.parseInternalActivationAttributes)(t.attributes),e.createMatmulProgramInfoLoader=u;const c=t=>{if(!t||2!==t.length)throw new Error(\"MatMul requires 2 inputs.\");if(t[0].dims[t[0].dims.length-1]!==t[1].dims[t[1].dims.length-2])throw new Error(\"shared dimension does not match.\");if(\"float32\"!==t[0].type&&\"float64\"!==t[0].type||\"float32\"!==t[1].type&&\"float64\"!==t[1].type)throw new Error(\"inputs should be float type\");if(t[0].type!==t[1].type)throw new Error(\"inputs types should match\")};function l(t,e,n,i,o){let a=\"\";const s=n.length,u=i.length,c=u-s;a=u<2&&s>0?\"coords\":n.map(((t,n)=>`coords.${e[n+c]}`)).join(\", \");const l=r.BroadcastUtil.getBroadcastDims(n,i).map((t=>`coords.${e[t+c]} = 0;`)).join(\"\\n\");let p=\"vec4(outputValue.xx, outputValue.yy)\";return 1===r.ShapeUtil.size(n)&&(p=\"vec4(outputValue.x)\"),o?`\\nvec4 getBiasForMatmul() {\\n  ${t} coords = getOutputCoords();\\n  ${l}\\n  vec4 outputValue = getBias(${a});\\n  return ${p};\\n}`:`\\nfloat getBiasForMatmul() {\\n  ${t} coords = getOutputCoords();\\n  ${l}\\n  return getBias(coords.x);\\n}`}e.getBiasForMatmul=l},2403:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.createPackProgramInfoLoader=void 0;const r=n(5060),i=n(2039),o=n(9390),a=n(2827),s={name:\"pack\",inputNames:[\"A\"],inputTypes:[i.TextureType.unpackedReversed]};e.createPackProgramInfoLoader=(t,e)=>Object.assign(Object.assign({},s),{get:()=>((t,e)=>{const n=(0,r.getGlsl)(t.session.backend.glContext.version),u=e.dims,c=u.length,l=e.dims.length,p=(0,o.getCoordsDataType)(l),f=(0,a.getChannels)(\"rc\",l),d=(h=l,g=f,b=u[u.length-2],m=u[u.length-1],0===h||1===h?\"\":`\\n    int r = ${g[h-2]};\\n    int c = ${g[h-1]};\\n    int rp1 = ${g[h-2]} + 1;\\n    int cp1 = ${g[h-1]} + 1;\\n    bool rEdge = rp1 >= ${m};\\n    bool cEdge = cp1 >= ${b};\\n    `);var h,g,b,m;let y;y=0===c?[1,1]:1===c?[u[0],1]:[u[l-1],u[l-2]];const _=function(t,e,n){if(0===t)return\"false\";if(1===t)return`rc > ${e[0]}`;let r=\"\";for(let i=t-2;i<t;i++)r+=`${n[i]} >= ${e[i-t+2]}`,i<t-1&&(r+=\"||\");return r}(l,y,f),v=function(t,e){const n=t.length;if(0===n)return\"getA(), 0, 0, 0\";if(1===n)return`getA(rc),\\n            rc + 1 >= ${t[0]} ? 0. : getA(rc + 1),\\n            0, 0`;let r=\"\";if(n>2)for(let t=0;t<n-2;++t)r+=`${e[t]},`;return`getA(${r}r, c),\\n          rEdge ? 0. : getA(${r}rp1, c),\\n          cEdge ? 0. : getA(${r}r, cp1),\\n          rEdge || cEdge ? 0. : getA(${r}rp1, cp1)`}(u,f),w=`\\n        void main() {\\n          ${p} rc = getOutputCoords();\\n\\n          if(${_}) {\\n            ${n.output} = vec4(0);\\n          } else {\\n            ${d}\\n\\n            ${n.output} = vec4(${v});\\n          }\\n        }\\n      `;return Object.assign(Object.assign({},s),{hasMain:!0,output:{dims:e.dims,type:e.type,textureType:i.TextureType.packed},shaderSource:w})})(t,e)})},2827:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.unpackFromChannel=e.getChannels=e.getVecChannels=void 0;const r=n(9390);function i(t,e){return(0,r.getGlChannels)(e).map((e=>`${t}.${e}`))}e.getVecChannels=i,e.getChannels=function(t,e){return 1===e?[t]:i(t,e)},e.unpackFromChannel=function(){return\"\\n    float getChannel(vec4 frag, int dim) {\\n      int modCoord = imod(dim, 2);\\n      return modCoord == 0 ? frag.r : frag.g;\\n    }\\n\\n    float getChannel(vec4 frag, vec2 innerDims) {\\n      vec2 modCoord = mod(innerDims, 2.);\\n      return modCoord.x == 0. ?\\n        (modCoord.y == 0. ? frag.r : frag.g) :\\n        (modCoord.y == 0. ? frag.b : frag.a);\\n    }\\n  \"}},2870:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.parsePadAttributesV11=e.padV11=e.parsePadAttributesV2=e.padV2=void 0;const r=n(246),i=n(2517),o=n(5060),a=n(2039),s={name:\"Pad\",inputNames:[\"A\"],inputTypes:[a.TextureType.unpacked]};e.padV2=(t,e,n)=>(l(e),[t.run(Object.assign(Object.assign({},s),{cacheHint:n.cacheKey,get:()=>c(t,e[0],n)}),e)]),e.parsePadAttributesV2=t=>{const e=t.attributes.getString(\"mode\",\"constant\"),n=t.attributes.getFloat(\"value\",0),i=t.attributes.getInts(\"pads\");return(0,r.createAttributeWithCacheKey)({mode:e,value:n,pads:i})},e.padV11=(t,n,r)=>{p(n);const i=u(t,n,r);return(0,e.padV2)(t,[n[0]],i)},e.parsePadAttributesV11=t=>t.attributes.getString(\"mode\",\"constant\");const u=(t,e,n)=>{if(!t.session.isInitializer(e[1].dataId)||e.length>=3&&!t.session.isInitializer(e[2].dataId))throw new Error(\"dynamic pad attributes are not allowed\");const i=Array.from(e[1].integerData),o=e.length>=3?e[2].floatData[0]:0;return(0,r.createAttributeWithCacheKey)({mode:n,pads:i,value:o})},c=(t,e,n)=>{const r=i.ShapeUtil.padShape(e.dims.slice(),n.pads),o=r.length,s=`\\n      ${f(t,e,n)}\\n      float process(int[${o}] indices) {\\n          return padA(indices);\\n      }`;return{name:\"Pad\",inputNames:[\"A\"],inputTypes:[a.TextureType.unpacked],output:{dims:r,type:e.type,textureType:a.TextureType.unpacked},shaderSource:s}},l=t=>{if(!t||1!==t.length)throw new Error(\"Pad requires 1 input\");if(\"float32\"!==t[0].type&&\"float64\"!==t[0].type)throw new Error(\"Invalid input type.\")},p=t=>{if(!t||2!==t.length&&3!==t.length)throw new Error(\"Pad requires 2 or 3 inputs\");if(\"int32\"!==t[1].type)throw new Error(\"Invalid input type.\");if(t.length>=3&&\"string\"===t[2].type)throw new Error(\"Invalid input type.\")},f=(t,e,n)=>{const r=(0,o.getGlsl)(t.session.backend.glContext.version),[s,u]=t.calculateTextureWidthAndHeight(e.dims,a.TextureType.unpacked),c=i.ShapeUtil.computeStrides(e.dims);switch(n.mode){case\"constant\":return d(r,e.dims,c,s,u,n.pads,n.value);case\"reflect\":return h(r,e.dims,c,s,u,n.pads);case\"edge\":return g(r,e.dims,c,s,u,n.pads);default:throw new Error(\"Invalid mode\")}},d=(t,e,n,r,i,o,a)=>{const s=e.length;let u=\"\";for(let t=s-1;t>=0;--t)u+=`\\n        k = m[${t}] - ${o[t]};\\n        if (k < 0)  return constant;\\n        if (k >= ${e[t]}) return constant;\\n        offset += k * ${n[t]};\\n        `;return`\\n      float padA(int m[${s}]) {\\n        const float constant = float(${a});\\n        int offset = 0;\\n        int k = 0;\\n        ${u}\\n        vec2 coords = offsetToCoords(offset, ${r}, ${i});\\n        float value = getColorAsFloat(${t.texture2D}(A, coords));\\n        return value;\\n      }\\n      `},h=(t,e,n,r,i,o)=>{const a=e.length;let s=\"\";for(let t=a-1;t>=0;--t)s+=`\\n        k = m[${t}] - ${o[t]};\\n        if (k < 0) { k = -k; }\\n        {\\n          const int _2n_1 = ${2*(e[t]-1)};\\n          k = int( mod( float(k), float(_2n_1) ) ) ;\\n          if(k >= ${e[t]}) { k = _2n_1 - k; }\\n        }\\n        offset += k * ${n[t]};\\n        `;return`\\n      float padA(int m[${a}]) {\\n        int offset = 0;\\n        int k = 0;\\n        ${s}\\n        vec2 coords = offsetToCoords(offset, ${r}, ${i});\\n        float value = getColorAsFloat(${t.texture2D}(A, coords));\\n        return value;\\n      }\\n      `},g=(t,e,n,r,i,o)=>{const a=e.length;let s=\"\";for(let t=a-1;t>=0;--t)s+=`\\n        k = m[${t}] - ${o[t]};\\n        if (k < 0)  k = 0;\\n        if (k >= ${e[t]}) k = ${e[t]-1};\\n        offset += k * ${n[t]};\\n      `;return`\\n      float padA(int m[${a}]) {\\n        int offset = 0;\\n        int k = 0;\\n        ${s}\\n        vec2 coords = offsetToCoords(offset, ${r}, ${i});\\n        float value = getColorAsFloat(${t.texture2D}(A, coords));\\n        return value;\\n      }\\n      `}},2143:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.globalMaxPool=e.parseMaxPoolAttributes=e.maxPool=e.parseGlobalAveragePoolAttributes=e.globalAveragePool=e.parseAveragePoolAttributes=e.averagePool=void 0;const r=n(246),i=n(2517),o=n(2039);e.averagePool=(t,e,n)=>{p(e);const r={name:\"AveragePool\",inputNames:[\"X\"],inputTypes:[o.TextureType.unpacked],cacheHint:n.cacheKey};return[t.run(Object.assign(Object.assign({},r),{get:()=>a(e,r,!1,n)}),e)]},e.parseAveragePoolAttributes=t=>{const e=t.attributes.getString(\"auto_pad\",\"NOTSET\"),n=t.attributes.getInt(\"ceil_mode\",0),i=0!==t.attributes.getInt(\"count_include_pad\",0),o=t.attributes.getInts(\"kernel_shape\"),a=t.attributes.getInts(\"strides\",[]),s=t.attributes.getInts(\"pads\",[]);if(0!==n)throw new Error(\"using ceil() in shape computation is not yet supported for AveragePool\");return(0,r.createAttributeWithCacheKey)({autoPad:e,ceilMode:n,countIncludePad:i,kernelShape:o,strides:a,pads:s})};const a=(t,e,n,r)=>{const[a,s]=u(t,r,n),c=i.ShapeUtil.size(a.kernelShape);let l=\"\";a.countIncludePad?l+=`value /= float(${c});`:l+=`value /= float(${c} - pad);`;const p=`\\n        ${f(t[0].dims,a,\"value += _X(x);\",l,\"0.0\")}\\n      `;return Object.assign(Object.assign({},e),{output:{dims:s,type:t[0].type,textureType:o.TextureType.unpacked},shaderSource:p})};e.globalAveragePool=(t,e,n)=>{p(e);const r={name:\"GlobalAveragePool\",inputNames:[\"X\"],inputTypes:[o.TextureType.unpacked],cacheHint:`${n.countIncludePad}`};return[t.run(Object.assign(Object.assign({},r),{get:()=>a(e,r,!0,n)}),e)]},e.parseGlobalAveragePoolAttributes=t=>{const e=0!==t.attributes.getInt(\"count_include_pad\",0);return(0,r.createAttributeWithCacheKey)({autoPad:\"\",ceilMode:0,countIncludePad:e,kernelShape:[],strides:[],pads:[]})},e.maxPool=(t,e,n)=>{p(e);const r={name:\"MaxPool\",inputNames:[\"X\"],inputTypes:[o.TextureType.unpacked],cacheHint:n.cacheKey};return[t.run(Object.assign(Object.assign({},r),{get:()=>s(e,r,!1,n)}),e)]},e.parseMaxPoolAttributes=t=>{const e=t.attributes.getString(\"auto_pad\",\"NOTSET\"),n=t.attributes.getInt(\"ceil_mode\",0),i=t.attributes.getInts(\"kernel_shape\"),o=t.attributes.getInts(\"strides\",[]),a=t.attributes.getInts(\"pads\",[]),s=t.attributes.getInt(\"storage_order\",0),u=t.attributes.getInts(\"dilations\",[]);if(0!==s)throw new Error(\"column major storage order is not yet supported for MaxPool\");if(0!==n)throw new Error(\"using ceil() in shape computation is not yet supported for MaxPool\");return(0,r.createAttributeWithCacheKey)({autoPad:e,ceilMode:n,countIncludePad:!1,kernelShape:i,strides:o,pads:a,storageOrder:s,dilations:u})};const s=(t,e,n,r)=>{const[i,a]=u(t,r,n),s=`\\n      ${f(t[0].dims,i,\"\\n      value = max(_X(x), value);\\n    \",\"\",\"-1e5\")}\\n    `;return Object.assign(Object.assign({},e),{output:{dims:a,type:t[0].type,textureType:o.TextureType.unpacked},shaderSource:s})},u=(t,e,n)=>{const r=t[0].dims.slice(),o=Object.hasOwnProperty.call(e,\"dilations\"),a=e.kernelShape.slice(),s=e.strides.slice(),u=o?e.dilations.slice():[],c=e.pads.slice();i.PoolConvUtil.adjustPoolAttributes(n,r,a,s,u,c);const l=i.PoolConvUtil.computePoolOutputShape(n,r,s,u,a,c,e.autoPad),p=Object.assign({},e);return o?Object.assign(p,{kernelShape:a,strides:s,pads:c,dilations:u,cacheKey:e.cacheKey}):Object.assign(p,{kernelShape:a,strides:s,pads:c,cacheKey:e.cacheKey}),[p,l]},c={autoPad:\"\",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[],cacheKey:\"\"},l={name:\"GlobalMaxPool\",inputNames:[\"X\"],inputTypes:[o.TextureType.unpacked]};e.globalMaxPool=(t,e)=>(p(e),[t.run(Object.assign(Object.assign({},l),{get:()=>s(e,l,!0,c)}),e)]);const p=t=>{if(!t||1!==t.length)throw new Error(\"Pool ops requires 1 input.\");if(\"float32\"!==t[0].type&&\"float64\"!==t[0].type)throw new Error(\"Invalid input type.\")},f=(t,e,n,r,o)=>{const a=t.length;if(e.kernelShape.length<=2){const i=e.kernelShape[e.kernelShape.length-1],s=e.strides[e.strides.length-1],u=e.pads[e.pads.length/2-1],c=e.pads[e.pads.length-1],l=t[a-1];let p=\"\",f=\"\",d=\"\";if(p=u+c!==0?`\\n          for (int i = 0; i < ${i}; i++) {\\n            x[${a} - 1] = indices[${a} - 1] * ${s} - ${u} + i;\\n            if (x[${a} - 1] < 0 || x[${a} - 1] >= ${l}) {\\n              pad++;\\n              continue;\\n            }\\n            ${n}\\n          }`:`\\n          for (int i = 0; i < ${i}; i++) {\\n            x[${a} - 1] = indices[${a} - 1] * ${s} - ${u} + i;\\n            ${n}\\n          }`,2===e.kernelShape.length){const n=e.kernelShape[e.kernelShape.length-2],r=e.strides[e.strides.length-2],o=e.pads[e.pads.length/2-2],s=e.pads[e.pads.length-2],u=t[a-2];f=o+s!==0?`\\n            for (int j = 0; j < ${n}; j++) {\\n              x[${a} - 2] = indices[${a} - 2] * ${r} - ${o} + j;\\n              if (x[${a} - 2] < 0 || x[${a} - 2] >= ${u}) {\\n                pad+= ${i};\\n                continue;\\n              }\\n          `:`\\n            for (int j = 0; j < ${n}; j++) {\\n              x[${a} - 2] = indices[${a} - 2] * ${r} - ${o} + j;\\n            `,d=\"\\n          }\\n        \"}return`\\n        float process(int indices[${a}]) {\\n          int x[${a}];\\n          copyVec(indices, x);\\n\\n          float value = ${o};\\n          int pad = 0;\\n          ${f}\\n          ${p}\\n          ${d}\\n          ${r}\\n          return value;\\n        }\\n      `}{const s=i.ShapeUtil.size(e.kernelShape),u=i.ShapeUtil.computeStrides(e.kernelShape),c=u.length,l=e.pads.length,p=h(c),f=d(t,\"inputDims\"),g=d(e.pads,\"pads\"),b=d(u,\"kernelStrides\"),m=d(e.strides,\"strides\");let y=\"\";return y=e.pads.reduce(((t,e)=>t+e))?`\\n            if (x[j] >= inputDims[j] || x[j] < 0) {\\n              pad++;\\n              isPad = true;\\n              break;\\n            }\\n          }\\n          if (!isPad) {\\n            ${n}\\n          }`:`\\n          }\\n          ${n}\\n        `,`\\n        ${p}\\n        float process(int indices[${a}]) {\\n          int x[${a}];\\n          copyVec(indices, x);\\n          int offset[${c}];\\n          int pads[${l}];\\n          int inputDims[${a}];\\n          int kernelStrides[${c}];\\n          int strides[${c}];\\n          ${g}\\n          ${f}\\n          ${m}\\n          ${b}\\n\\n          float value = ${o};\\n          int pad = 0;\\n          bool isPad = false;\\n          for (int i = 0; i < ${s}; i++) {\\n            offsetToIndices(i, kernelStrides, offset);\\n            isPad = false;\\n            for (int j = ${a} - ${c}; j < ${a}; j++) {\\n              x[j] = indices[j] * strides[j - ${a} + ${c}]\\n                + offset[j - ${a} + ${c}] - pads[j - 2];\\n              ${y}\\n          }\\n          ${r}\\n\\n          return value;\\n        }\\n      `}},d=(t,e)=>{let n=\"\";for(let r=0;r<t.length;r++)n+=`\\n      ${e}[${r}] = ${t[r]};\\n    `;return n},h=t=>`\\n  void offsetToIndices(int offset, int[${t}] strides, out int[${t}] indices) {\\n    if (${t} == 0) {\\n      return;\\n    }\\n    for (int i = 0; i < ${t} - 1; ++i) {\\n      indices[i] = offset / strides[i];\\n      offset -= indices[i] * strides[i];\\n    }\\n    indices[${t} - 1] = offset;\\n  }`},4939:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.reduceLogSumSquare=e.reduceLogSum=e.reduceProd=e.reduceMin=e.reduceMax=e.reduceMean=e.reduceSum=e.parseReduceAttributes=void 0;const r=n(246),i=n(782),o=n(2517),a=n(2039),s=(t,e,n,r,i)=>{c(e);const o={name:r,inputNames:[\"A\"],inputTypes:[a.TextureType.unpacked]};return[t.run(Object.assign(Object.assign({},o),{cacheHint:n.cacheKey,get:()=>u(t,e,n,r,i,o)}),e)]};e.parseReduceAttributes=t=>{const e=t.attributes.getInts(\"axes\",[]),n=1===t.attributes.getInt(\"keepdims\",1);return(0,r.createAttributeWithCacheKey)({axes:e,keepDims:n})};const u=(t,e,n,r,i,s)=>{const u=[],c=e[0].dims.length||1,l=[],p=o.ShapeUtil.normalizeAxes(n.axes,e[0].dims.length),f=i(e,p);let d=f[1];for(let t=0;t<e[0].dims.length;t++)p.indexOf(t)>=0||0===p.length?(n.keepDims&&u.push(1),d=`\\n          for(int j${t} = 0; j${t} < ${e[0].dims[t]}; j${t}++) {\\n            inputIdx[${t}] = j${t};\\n            ${d}\\n          }`):(l.push(`inputIdx[${t}] = outputIdx[${u.length}];`),u.push(e[0].dims[t]));const h=`\\n      float process(int outputIdx[${u.length||1}]) {\\n        float value;                 // final result\\n        int inputIdx[${c}];      // addressing input data\\n        ${l.join(\"\\n\")}\\n        ${f[0]}       // init ops for reduce max/min\\n        ${d}\\n        ${f[2]}       // final computation for reduce mean\\n        return value;\\n      }`;return Object.assign(Object.assign({},s),{output:{dims:u,type:e[0].type,textureType:a.TextureType.unpacked},shaderSource:h})},c=t=>{if(!t||1!==t.length)throw new Error(\"Reduce op requires 1 input.\");if(-1===i.NUMBER_TYPES.indexOf(t[0].type))throw new Error(\"Invalid input type.\")};e.reduceSum=(t,e,n)=>s(t,e,n,\"ReduceSum\",(()=>[\"value = 0.0;\",\"value += _A(inputIdx);\",\"\"])),e.reduceMean=(t,e,n)=>s(t,e,n,\"ReduceMean\",((t,e)=>{let n=1;for(let r=0;r<t[0].dims.length;r++)(e.indexOf(r)>=0||0===e.length)&&(n*=t[0].dims[r]);return[\"value = 0.0;\",\"value += _A(inputIdx);\",`value /= ${n}.;`]})),e.reduceMax=(t,e,n)=>s(t,e,n,\"ReduceMax\",((t,e)=>{const n=[];for(let r=0;r<t[0].dims.length;r++)(e.indexOf(r)>=0||0===e.length)&&n.push(`inputIdx[${r}] = 0;`);return[`${n.join(\"\\n\")}\\nvalue = _A(inputIdx);`,\"value = max(value, _A(inputIdx));\",\"\"]})),e.reduceMin=(t,e,n)=>s(t,e,n,\"ReduceMin\",((t,e)=>{const n=[];for(let r=0;r<t[0].dims.length;r++)(e.indexOf(r)>=0||0===e.length)&&n.push(`inputIdx[${r}] = 0;`);return[`${n.join(\"\\n\")}\\nvalue = _A(inputIdx);`,\"value = min(value, _A(inputIdx));\",\"\"]})),e.reduceProd=(t,e,n)=>s(t,e,n,\"ReduceProd\",(()=>[\"value = 1.0;\",\"value *= _A(inputIdx);\",\"\"])),e.reduceLogSum=(t,e,n)=>s(t,e,n,\"ReduceLogSum\",(()=>[\"value = 0.0;\",\"value += _A(inputIdx);\",\"value = log(value);\"])),e.reduceLogSumSquare=(t,e,n)=>s(t,e,n,\"ReduceLogSumSquare\",(()=>[\"float t; value = 0.0;\",\"t = _A(inputIdx); value += t * t;\",\"\"]))},7019:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.isReshapeCheap=e.processDims3D=e.createPackedReshape3DProgramInfoLoader=void 0;const r=n(2517),i=n(5060),o=n(2039),a=n(2827);e.createPackedReshape3DProgramInfoLoader=(t,e,n)=>{const s=(t=>({name:\"Reshape (packed)\",inputTypes:[o.TextureType.packed],inputNames:[\"A\"],cacheHint:`${t}`}))(n);return Object.assign(Object.assign({},s),{get:()=>((t,e,n,s)=>{const u=e.dims,c=s;let l=\"\";for(let t=0;t<4;t++){let e=\"\";switch(t){case 0:e=\"outputCoords = rc;\";break;case 1:e=\"outputCoords = ivec3(rc.x, rc.y+1, rc.z);\";break;case 2:e=\"outputCoords = ivec3(rc.x, rc.y, rc.z+1);\";break;case 3:e=\"outputCoords = ivec3(rc.x, rc.y+1, rc.z+1);\";break;default:throw new Error}l+=`\\n        ${e}\\n        ${t>0?\"if(outputCoords.y < rows && outputCoords.z < cols){\":\"\"}\\n          int flattenedIndex = getFlattenedIndex(outputCoords);\\n\\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flattenedIndex);\\n          vec2 innerDims = vec2(float(inputRC.y),float(inputRC.z));\\n\\n          result[${t}] = getChannel(getA(inputRC.x, inputRC.y, inputRC.z), innerDims);\\n\\n        ${t>0?\"}\":\"\"}\\n      `}const p=(0,i.getGlsl)(t.session.backend.glContext.version),f=`\\n      ${function(t){const e=r.ShapeUtil.computeStrides(t),n=[\"b\",\"r\",\"c\"],i=\"index\";return`\\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\\n      ${e.map(((t,r)=>`int ${n[r]} = ${i} / ${t}; ${r===e.length-1?`int ${n[r+1]} = ${i} - ${n[r]} * ${t}`:`index -= ${n[r]} * ${t}`};`)).join(\"\")}\\n      return ivec3(b, r, c);\\n    }\\n  `}(u)}\\n      ${function(t){const e=r.ShapeUtil.computeStrides(t);return`\\n  int getFlattenedIndex(ivec3 coords) {\\n    // reverse y, z order\\n    return coords.x * ${e[0]} + coords.z * ${e[1]} + coords.y;\\n  }\\n`}(c)}\\n      ${(0,a.unpackFromChannel)()}\\n\\n      void main() {\\n        ivec3 rc = getOutputCoords();\\n\\n        vec4 result = vec4(0.0);\\n\\n        ivec3 outputCoords;\\n        int rows = ${c[2]};\\n        int cols = ${c[1]};\\n\\n        ${l}\\n        ${p.output} = result;\\n      }\\n    `;return Object.assign(Object.assign({},n),{output:{dims:c,type:e.type,textureType:o.TextureType.packed},shaderSource:f,hasMain:!0})})(t,e,s,n)})},e.processDims3D=function(t){if(0===t.length)return[1,1,1];let e=1;for(let n=0;n<t.length-2;++n)e*=t[n];return[e,t.length>1?t[t.length-2]:1,t[t.length-1]]},e.isReshapeCheap=function(t,e){let n=!1;return n=0===t.length||0===e.length||(t.length<2||e.length<2?t[t.length-1]===e[e.length-1]:t[t.length-1]===e[e.length-1]&&t[t.length-2]===e[e.length-2]),n}},718:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.reshape=void 0;const r=n(2517);e.reshape=(t,e)=>{const n=r.ShapeUtil.calculateReshapedDims(e[0].dims,e[1].integerData);return t.session.pack?[t.reshapePacked(e[0],n)]:[t.reshapeUnpacked(e[0],n)]}},2268:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.parseResizeAttributesV11=e.parseResizeAttributesV10=e.resize=void 0;const r=n(5060),i=n(2039),o=n(9390),a=n(2827),s=n(9793),u={name:\"Resize\",inputNames:[\"A\"],inputTypes:[i.TextureType.packed]};e.resize=(t,e,n)=>((0,s.validateInputs)(e,n),[t.run(Object.assign(Object.assign({},u),{cacheHint:n.cacheKey,get:()=>c(t,e,n)}),e)]),e.parseResizeAttributesV10=t=>(0,s.parseUpsampleAttributes)(t,10),e.parseResizeAttributesV11=t=>(0,s.parseUpsampleAttributes)(t,11);const c=(t,e,n)=>{const s=(0,r.getGlsl)(t.session.backend.glContext.version),[c,p]=l(e,n);if(c.every((t=>1===t))&&\"tf_crop_and_resize\"!==n.coordinateTransformMode)return Object.assign(Object.assign({},u),{output:{dims:p,type:e[0].type,textureType:i.TextureType.packed},hasMain:!0,shaderSource:`void main() {\\n                    vec4 v = ${s.texture2D}(X, TexCoords);\\n                    ${s.output} = v;\\n                }`});const f=p.length;if(f<2)throw new Error(`output dimension should be at least 2, but got ${f}`);const d=p[f-2],h=p[f-1],g=e[0].dims;if(f!==g.length)throw new Error(`output dimension should match input ${g.length}, but got ${f}`);const b=g[f-2],m=g[f-1],y=c[f-2],_=c[f-1];let v=\"\";if(\"linear\"!==n.mode)throw new Error(`resize (packed) does not support mode: '${n.mode}'`);switch(n.coordinateTransformMode){case\"asymmetric\":v=\"\\n                    vec4 getSourceFracIndex(ivec4 coords) {\\n                        return vec4(coords) / scaleWHWH;\\n                    }\\n                \";break;case\"half_pixel\":v=\"\\n                    vec4 getSourceFracIndex(ivec4 coords) {\\n                        return (vec4(coords) + 0.5) / scaleWHWH - 0.5;\\n                    }\\n                \";break;case\"pytorch_half_pixel\":v=`\\n                    vec4 getSourceFracIndex(ivec4 coords) {\\n                        vec4 fcoords = vec4(coords);\\n                        return vec4(\\n                            ${h}.0 > 1.0 ? (fcoords.x + 0.5) / scaleWHWH.x - 0.5 : 0.0,\\n                            ${d}.0 > 1.0 ? (fcoords.y + 0.5) / scaleWHWH.y - 0.5 : 0.0,\\n                            ${h}.0 > 1.0 ? (fcoords.z + 0.5) / scaleWHWH.z - 0.5 : 0.0,\\n                            ${d}.0 > 1.0 ? (fcoords.w + 0.5) / scaleWHWH.w - 0.5 : 0.0\\n                          );\\n                    }\\n                `;break;case\"align_corners\":v=`\\n                    vec4 getSourceFracIndex(ivec4 coords) {\\n                        vec4 resized = vec4(${h}.0 - 1.0, ${d}.0 - 1.0, ${h}.0 - 1.0,\\n                            ${d}.0 - 1.0);\\n                        vec4 original = vec4(${m}.0 - 1.0, ${b}.0 - 1.0, ${m}.0 - 1.0,\\n                            ${b}.0 - 1.0);\\n                        vec4 new_scale = original / resized;\\n                        return vec4(coords) * new_scale;\\n                    }\\n                `;break;default:throw new Error(`resize (packed) does not support coordinateTransformMode:                                 '${n.coordinateTransformMode}'`)}const w=(0,o.getCoordsDataType)(f),x=`\\n            const vec2 inputWH = vec2(${b}.0, ${m}.0);\\n            const vec4 scaleWHWH = vec4(float(${y}), float(${_}), float(${y}), float(${_}));\\n            ${(0,a.unpackFromChannel)()}\\n            ${v}\\n            float getAValue(int x10, int r, int c, int d) {\\n                return getChannel(getA(x10, r, c, d), vec2(c, d));\\n            }\\n            void main() {\\n                ${w} rc = getOutputCoords();\\n\\n                int batch = rc[0];\\n                int depth = rc[1];\\n\\n                // retrieve the 4 coordinates that is used in the 4 packed output values.\\n                ivec4 coords = ivec4(rc.wz, rc.w + 1, rc.z + 1);\\n\\n                // calculate the source index in fraction\\n                vec4 sourceFrac = getSourceFracIndex(coords);\\n\\n                // get the lower and upper bound of the 4 values that will be packed into one texel.\\n                ivec4 x00 = ivec4(max(sourceFrac.xy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xy)));\\n                ivec4 x01 = ivec4(max(sourceFrac.xw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xw)));\\n                ivec4 x10 = ivec4(max(sourceFrac.zy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zy)));\\n                ivec4 x11 = ivec4(max(sourceFrac.zw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zw)));\\n\\n                bool hasNextRow = rc.w < ${d-1};\\n                bool hasNextCol = rc.z < ${h-1};\\n\\n                // pack x00, x01, x10, x11's top-left corner into one vec4 structure\\n                vec4 topLeft = vec4(\\n                    getAValue(batch, depth, x00.x, x00.y),\\n                    hasNextCol ? getAValue(batch, depth, x01.x, x01.y) : 0.0,\\n                    hasNextRow ? getAValue(batch, depth, x10.x, x10.y) : 0.0,\\n                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.x, x11.y) : 0.0);\\n\\n                // pack x00, x01, x10, x11's top-right corner into one vec4 structure\\n                vec4 topRight = vec4(\\n                    getAValue(batch, depth, x00.x, x00.w),\\n                    hasNextCol ? getAValue(batch, depth, x01.x, x01.w) : 0.0,\\n                    hasNextRow ? getAValue(batch, depth, x10.x, x10.w) : 0.0,\\n                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.x, x11.w) : 0.0);\\n\\n                // pack x00, x01, x10, x11's bottom-left corner into one vec4 structure\\n                vec4 bottomLeft = vec4(\\n                    getAValue(batch, depth, x00.z, x00.y),\\n                    hasNextCol ? getAValue(batch, depth, x01.z, x01.y) : 0.0,\\n                    hasNextRow ? getAValue(batch, depth, x10.z, x10.y) : 0.0,\\n                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.z, x11.y) : 0.0);\\n\\n                // pack x00, x01, x10, x11's bottom-right corner into one vec4 structure\\n                vec4 bottomRight = vec4(\\n                    getAValue(batch, depth, x00.z, x00.w),\\n                    hasNextCol ? getAValue(batch, depth, x01.z, x01.w) : 0.0,\\n                    hasNextRow ? getAValue(batch, depth, x10.z, x10.w) : 0.0,\\n                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.z, x11.w) : 0.0);\\n\\n                // calculate the interpolation fraction on u and v direction\\n                vec4 frac = vec4(sourceFrac) - floor(sourceFrac);\\n                vec4 clampFrac = clamp(frac, vec4(0.0), vec4(1.0));\\n\\n                vec4 top = mix(topLeft, topRight, clampFrac.ywyw);\\n                vec4 bottom = mix(bottomLeft, bottomRight, clampFrac.ywyw);\\n                vec4 newValue = mix(top, bottom, clampFrac.xxzz);\\n\\n                ${s.output} = vec4(newValue);\\n            }\\n        `;return Object.assign(Object.assign({},u),{output:{dims:p,type:e[0].type,textureType:i.TextureType.packed},hasMain:!0,shaderSource:x})},l=(t,e)=>{const n=t[0].dims;let r,i=e.scales;if(0===i.length){const o=t[e.scalesInputIdx];if(o&&0!==o.size){if(t[e.sizesInputIdx])throw new Error(\"Only one of scales or sizes must be provided as input.\");i=p(o,e.mode,e.isResize)}else{const o=t[e.sizesInputIdx];if(!o||0===o.size)throw new Error(\"Either scales or sizes MUST be provided as input.\");r=Array.from(o.integerData),i=f(r,n,e.mode,e.isResize)}}else if(t[e.sizesInputIdx])throw new Error(\"Only one of scales or sizes must be provided as input.\");const o=r||n.map(((t,e)=>Math.floor(t*i[e])));return[i,o]},p=(t,e,n)=>{const r=Array.from(t.floatData);return(0,s.scalesValidation)(r,e,n),r},f=(t,e,n,r)=>{const i=e.length,o=new Array(i);for(let n=0,r=i;n<r;n++)if(0===e[n]){if(0!==t[n])throw new Error(\"Input dim is zero but required output dim is non-zero.\");o[n]=1}else o[n]=t[n]/e[n];return(0,s.scalesValidation)(o,n,r),o}},8117:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.shape=void 0;const r=n(9162);e.shape=(t,e)=>(i(e),[new r.Tensor([e[0].dims.length],\"int32\",void 0,void 0,new Int32Array(e[0].dims))]);const i=t=>{if(!t||1!==t.length)throw new Error(\"Shape requires 1 input.\")}},2278:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.sliceV10=e.parseSliceAttributes=e.slice=void 0;const r=n(246),i=n(782),o=n(2517),a=n(2039),s={name:\"Slice\",inputNames:[\"A\"],inputTypes:[a.TextureType.unpacked]};e.slice=(t,e,n)=>(c(e),[t.run(Object.assign(Object.assign({},s),{cacheHint:n.cacheKey,get:()=>u(t,e[0],n)}),e)]),e.parseSliceAttributes=t=>{const e=t.attributes.getInts(\"starts\"),n=t.attributes.getInts(\"ends\"),i=t.attributes.getInts(\"axes\",[]);return(0,r.createAttributeWithCacheKey)({starts:e,ends:n,axes:i})};const u=(t,e,n)=>{const r=0===n.axes.length?e.dims.slice(0).map(((t,e)=>e)):n.axes,i=o.ShapeUtil.normalizeAxes(r,e.dims.length),u=n.starts.map(((t,n)=>t>e.dims[i[n]]-1?e.dims[i[n]]:o.ShapeUtil.normalizeAxis(t,e.dims[i[n]]))),c=n.ends.map(((t,n)=>t>e.dims[i[n]]-1?e.dims[i[n]]:o.ShapeUtil.normalizeAxis(t,e.dims[i[n]]))),l=e.dims.slice(),p=[];for(let t=0;t<i.length;t++)l[i[t]]=c[t]-u[t],u[t]>0&&p.push(`outputIdx[${i[t]}] += ${u[t]};`);const f=`\\n      float process(int outputIdx[${l.length}]) {\\n        ${p.join(\"\\n      \")}\\n        return _A(outputIdx);\\n      }`;return Object.assign(Object.assign({},s),{output:{dims:l,type:e.type,textureType:a.TextureType.unpacked},shaderSource:f})},c=t=>{if(!t||1!==t.length)throw new Error(\"Slice requires 1 input.\");if(-1===i.NUMBER_TYPES.indexOf(t[0].type))throw new Error(\"Invalid input type.\")};e.sliceV10=(t,e)=>{p(e);const n=l(t,e);return[t.run(Object.assign(Object.assign({},s),{cacheHint:n.cacheKey,get:()=>u(t,e[0],n)}),[e[0]])]};const l=(t,e)=>{if(!t.session.isInitializer(e[1].dataId)||!t.session.isInitializer(e[2].dataId)||e.length>=4&&!t.session.isInitializer(e[3].dataId)||e.length>=5&&!t.session.isInitializer(e[4].dataId))throw new Error(\"dynamic slice attributes are not allowed\");if(e.length>=5&&e[4].integerData.some((t=>1!==t)))throw new Error(\"currently non-1 steps is not supported for Slice\");const n=Array.from(e[1].integerData),r=Array.from(e[2].integerData),i=e.length>=4?Array.from(e[3].integerData):[];return{starts:n,ends:r,axes:i,cacheKey:`${i};${n};${r}`}},p=t=>{if(!t||t.length<3||t.length>5)throw new Error(\"Invalid input number.\");if(\"int32\"!==t[1].type||1!==t[1].dims.length)throw new Error(\"Invalid input type.\");if(\"int32\"!==t[2].type||1!==t[2].dims.length)throw new Error(\"Invalid input type.\");if(t.length>=4&&(\"int32\"!==t[3].type||1!==t[3].dims.length))throw new Error(\"Invalid input type.\");if(t.length>=5&&(\"int32\"!==t[4].type||1!==t[4].dims.length))throw new Error(\"Invalid input type.\")}},5524:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.softmaxV13=e.parseSoftmaxAttributesV13=e.parseSoftmaxAttributes=e.softmax=void 0;const r=n(246),i=n(2517),o=n(5060),a=n(2039),s=n(3738),u={name:\"SoftmaxComputeMax\",inputNames:[\"A\"],inputTypes:[a.TextureType.unpacked]},c={name:\"SoftmaxComputeScale\",inputNames:[\"A\",\"Max\"],inputTypes:[a.TextureType.unpacked,a.TextureType.unpacked]},l={name:\"SoftMax\",inputNames:[\"A\",\"Max\",\"Norm\"],inputTypes:[a.TextureType.unpacked,a.TextureType.unpacked,a.TextureType.unpacked]};e.softmax=(t,e,n)=>{g(e);const r=e[0].dims.slice(),o=i.ShapeUtil.normalizeAxis(n.axis,r.length),a=i.ShapeUtil.sizeToDimension(r,o),s=i.ShapeUtil.sizeFromDimension(r,o);return p(t,e,n,a,s)},e.parseSoftmaxAttributes=t=>(0,r.createAttributeWithCacheKey)({axis:t.attributes.getInt(\"axis\",1)}),e.parseSoftmaxAttributesV13=t=>(0,r.createAttributeWithCacheKey)({axis:t.attributes.getInt(\"axis\",-1)}),e.softmaxV13=(t,e,n)=>{g(e);const o=e[0].dims.slice(),a=i.ShapeUtil.normalizeAxis(n.axis,o.length),u=o.length,c=a!==u-1,l=[];let 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1\");if(1!==i.length)throw new Error(\"Dimensionality of the output should be 1\");if(i[0]!==n)throw new Error(\"Shape of the output should be equal to logical row count\");const p=(0,o.getGlsl)(t.session.backend.glContext.version),f=`\\n      float process(int[${l}] indices) {\\n        int logical_row_start_offset = indices[0] * ${r};\\n\\n        float max = getColorAsFloat(${p.texture2D}(A, offsetToCoords(logical_row_start_offset, ${s},\\n        ${c} )));\\n        for(int i=1; i<${r}; ++i)\\n        {\\n          float current = getColorAsFloat(${p.texture2D}(A, offsetToCoords(logical_row_start_offset + i,\\n            ${s}, ${c})));\\n          if(current > max)\\n          max = current;\\n        }\\n\\n        return max;\\n      }`;return Object.assign(Object.assign({},u),{output:{dims:i,type:e.type,textureType:a.TextureType.unpacked},shaderSource:f})},d=(t,e,n,r,i,s)=>{const[u,l]=t.calculateTextureWidthAndHeight(e.dims,a.TextureType.unpacked),p=s.length;if(n<1||r<1)throw new Error(\"Logical row count N and feature count D must be greater than or equal to 1\");if(1!==s.length)throw new Error(\"Dimensionality of the output should be 1\");if(s[0]!==n)throw new Error(\"Shape of the output should be equal to logical row count\");if(1!==i.length)throw new Error(\"Dimensionality of the intermediate results should be 1\");if(i[0]!==n)throw new Error(\"Shape of the intermediate results should be equal to logical row count\");const f=`\\n      float process(int[${p}] indices) {\\n        int logical_row_start_offset = indices[0] * ${r};\\n\\n        float norm_factor = 0.0;\\n        float max = _Max(indices);\\n        for(int i=0; i<${r}; ++i)\\n        {\\n          norm_factor += exp(getColorAsFloat(${(0,o.getGlsl)(t.session.backend.glContext.version).texture2D}(A, offsetToCoords(logical_row_start_offset + i,\\n            ${u}, ${l}))) - max);\\n        }\\n\\n        return norm_factor;\\n      }`;return Object.assign(Object.assign({},c),{output:{dims:s,type:e.type,textureType:a.TextureType.unpacked},shaderSource:f})},h=(t,e,n,r,i,o)=>{const[s,u]=t.calculateTextureWidthAndHeight(e.dims,a.TextureType.unpacked),c=e.dims.length;if(n<1||r<1)throw new Error(\"Logical row count N and feature count D must be greater than or equal to 1\");if(1!==i.length||1!==o.length)throw new Error(\"Dimensionality of the intermediate results should be 1\");if(i[0]!==n||o[0]!==n)throw new Error(\"Shape of the intermediate results should be equal to logical row count\");const p=`\\n      float process(int[${c}] indices) {\\n\\n      // get offset of current logical tensor index from the 2-D texture coordinates (TexCoords)\\n      int offset = coordsToOffset(TexCoords, ${s}, ${u});\\n\\n      //determine the logical row for this index\\n      int logical_row_index[1];\\n      logical_row_index[0] = offset / ${r};\\n\\n      float norm_factor = _Norm(logical_row_index);\\n\\n      // avoid possible division by 0\\n      // if norm_facor is 0, all elements are zero\\n      // if so, return 0\\n      if(norm_factor == 0.0)\\n        return 0.0;\\n\\n      return exp(_A(indices) - _Max(logical_row_index)) / norm_factor;\\n    }`;return Object.assign(Object.assign({},l),{output:{dims:e.dims,type:e.type,textureType:a.TextureType.unpacked},shaderSource:p})},g=t=>{if(!t||1!==t.length)throw new Error(\"Softmax requires 1 input.\");if(\"float32\"!==t[0].type&&\"float64\"!==t[0].type)throw new Error(\"Invalid input type\")}},5975:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.parseSplitAttributes=e.split=void 0;const r=n(246),i=n(2517),o=n(2039),a={name:\"Split\",inputNames:[\"A\"],inputTypes:[o.TextureType.unpacked]};e.split=(t,e,n)=>{c(e);const r=i.ShapeUtil.normalizeAxis(n.axis,e[0].dims.length),o=s(t,e,r,n),l=[];for(let i=0;i<o;++i)l.push(t.run(Object.assign(Object.assign({},a),{cacheHint:`${n.cacheKey};${i}`,get:()=>u(t,e[0],n,r,i)}),e));return l},e.parseSplitAttributes=t=>{const e=t.attributes.getInt(\"axis\",0),n=t.attributes.getInts(\"split\",[]),i=t.outputs.length;return(0,r.createAttributeWithCacheKey)({axis:e,split:n,numOutputs:i})};const s=(t,e,n,r)=>{const[,o]=i.SplitUtil.splitShape(e[0].dims,n,r.split,r.numOutputs);return o.length},u=(t,e,n,r,s)=>{const[u,c]=i.SplitUtil.splitShape(e.dims,r,n.split,n.numOutputs),l=c[s],p=u[s],f=`\\n      float process(int indices[${p.length}]) {\\n        indices[${r}] += ${l};\\n        return _A(indices);\\n      }\\n    `;return Object.assign(Object.assign({},a),{cacheHint:`${n.cacheKey}:${s}`,output:{dims:p,type:e.type,textureType:o.TextureType.unpacked},shaderSource:f})},c=t=>{if(!t||1!==t.length)throw new Error(\"Split requires one input.\");if(\"int8\"!==t[0].type&&\"uint8\"!==t[0].type&&\"int16\"!==t[0].type&&\"uint16\"!==t[0].type&&\"int32\"!==t[0].type&&\"uint32\"!==t[0].type&&\"float32\"!==t[0].type&&\"float64\"!==t[0].type&&\"bool\"!==t[0].type)throw new Error(\"Invalid input type.\")}},3933:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.parseSqueezeAttributes=e.squeezeV13=e.squeeze=void 0;const r=n(2517);e.squeeze=(t,e,n)=>{i(e);const o=r.ShapeUtil.squeezeShape(e[0].dims,n);return[t.reshapeUnpacked(e[0],o)]},e.squeezeV13=(t,n)=>(o(n),(0,e.squeeze)(t,[n[0]],Array.from(n[1].integerData))),e.parseSqueezeAttributes=t=>t.attributes.getInts(\"axes\");const i=t=>{if(!t||1!==t.length)throw new Error(\"Squeeze requires 1 input.\");if(\"string\"===t[0].type)throw new Error(\"invalid input tensor types.\")},o=t=>{if(!t||2!==t.length)throw new Error(\"Squeeze requires 2 inputs.\");if(\"int32\"!==t[1].type)throw new Error(\"Invalid input type.\")}},6558:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.sum=void 0;const r=n(5060),i=n(2039);e.sum=(t,e)=>{a(e);const n={name:\"Sum\",inputNames:e.map(((t,e)=>`X${e}`)),inputTypes:new 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matched.\")}},5723:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.tile=void 0;const r=n(782),i=n(2039);e.tile=(t,e)=>{a(e);const n={name:\"Tile\",inputNames:[\"A\"],inputTypes:[i.TextureType.unpacked]};return[t.run(Object.assign(Object.assign({},n),{get:()=>o(t,e,n)}),e)]};const o=(t,e,n)=>{const r=e[0].dims.slice(),o=new Array(r.length),a=[];for(let t=0;t<r.length;t++)o[t]=r[t]*e[1].numberData[t],a.push(`inputIdx[${t}] = int(mod(float(outputIdx[${t}]), ${r[t]}.));`);const s=o.length,u=`\\n      float process(int outputIdx[${s}]) {\\n        int inputIdx[${s}];\\n        ${a.join(\"\\n\")}\\n        return _A(inputIdx);\\n      }\\n    `;return Object.assign(Object.assign({},n),{output:{dims:o,type:e[0].type,textureType:i.TextureType.unpacked},shaderSource:u})},a=t=>{if(!t||2!==t.length)throw new Error(\"Tile requires 2 input.\");if(1!==t[1].dims.length)throw new Error(\"The second input shape must 1 dimension.\");if(t[1].dims[0]!==t[0].dims.length)throw new Error(\"Invalid input shape.\");if(-1===r.NUMBER_TYPES.indexOf(t[0].type))throw new Error(\"Invalid input type.\");if(\"int32\"!==t[1].type&&\"int16\"!==t[1].type)throw new Error(\"Invalid repeat type.\")}},3738:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.parseTransposeAttributes=e.transpose=void 0;const r=n(246),i=n(2517),o=n(2039),a={name:\"Transpose\",inputNames:[\"A\"],inputTypes:[o.TextureType.unpacked]};e.transpose=(t,e,n)=>(p(e),[t.run(Object.assign(Object.assign({},a),{cacheHint:n.cacheKey,get:()=>s(t,e[0],n.perm)}),e)]),e.parseTransposeAttributes=t=>(0,r.createAttributeWithCacheKey)({perm:t.attributes.getInts(\"perm\",[])});const s=(t,e,n)=>{const r=e.dims;n=u(r,n);const i=c(r,n),s=r.length,p=`\\n      ${l(\"perm\",n,s)}\\n      float process(int indices[${s}]) {\\n        int a[${s}];\\n        perm(a, indices);\\n        return _A(a);\\n      }`;return Object.assign(Object.assign({},a),{output:{dims:i,type:e.type,textureType:o.TextureType.unpacked},shaderSource:p})},u=(t,e)=>(e&&e.length!==t.length&&(e=[...t.keys()].reverse()),e),c=(t,e)=>(e=u(t,e),i.ShapeUtil.sortBasedOnPerm(t,e)),l=(t,e,n)=>{const r=[];r.push(`void ${t}(out int a[${n}], int src[${n}]) {`);for(let t=0;t<n;++t)r.push(`\\ta[${e[t]}]=src[${t}];`);return r.push(\"\\t}\"),r.join(\"\\n\")},p=t=>{if(!t||1!==t.length)throw new Error(\"Transpose requires 1 input.\");if(\"float32\"!==t[0].type&&\"float64\"!==t[0].type)throw new Error(\"input should be float tensor\")}},8710:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.encodeAsUint8=void 0;const r=n(5060),i=n(2039);e.encodeAsUint8=(t,e)=>{const n=e.shape,o=(0,r.getGlsl)(t.session.backend.glContext.version),a=`\\n    const float FLOAT_MAX = 1.70141184e38;\\n    const float FLOAT_MIN = 1.17549435e-38;\\n\\n    bool isNaN(float val) {\\n      return (val < 1.0 || 0.0 < val || val == 0.0) ? false : 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float value = ${o.texture2D}(X,TexCoords).r;\\n      ${o.output} = encodeAsUint8(value);\\n    }`,s={name:\"Uint8Encode\",inputTypes:[i.TextureType.unpacked],inputNames:[\"X\"],output:{dims:n,type:e.tensor.type,textureType:i.TextureType.downloadUint8AsFloat},shaderSource:a,hasMain:!0};return t.executeProgram(s,[e.tensor])}},4909:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.tanh=e.tan=e.sqrt=e.sin=e.sigmoid=e.relu=e.not=e.neg=e.log=e.parseLeakyReluAttributes=e.leakyRelu=e.identity=e.floor=e.exp=e.parseEluAttributes=e.elu=e.cos=e.ceil=e.clipV11=e.parseClipAttributes=e.clip=e.atan=e.asin=e.acos=e.abs=e.glslTanh=e.glslTan=e.glslSqrt=e.glslSigmoid=e.glslRelu=e.glslSin=e.glslNot=e.glslNeg=e.glslLog=e.glslLeakyRelu=e.glslIdentity=e.glslClip=e.glslFloor=e.glslExp=e.glslElu=e.glslCos=e.glslCeil=e.glslAtan=e.glslAsin=e.glslAcos=e.glslAbs=void 0;const r=n(246),i=n(2517),o=n(8520),a=n(5060),s=n(2039);function u(){return P(\"abs\")}function c(){return 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i=this.gl,o=i.createTexture();i.bindTexture(i.TEXTURE_2D,o),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE);const a=r?n.encode(r,t*e):null;return i.texImage2D(i.TEXTURE_2D,0,n.internalFormat,t,e,0,n.format,n.textureType,a),this.checkError(),o}updateTexture(t,e,n,r,i){const o=this.gl;o.bindTexture(o.TEXTURE_2D,t);const a=r.encode(i,e*n);o.texSubImage2D(o.TEXTURE_2D,0,0,0,e,n,r.format,r.textureType,a),this.checkError()}attachFramebuffer(t,e,n){const r=this.gl;r.bindTexture(r.TEXTURE_2D,t),r.bindFramebuffer(r.FRAMEBUFFER,this.framebuffer),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,t,0),this.checkError(),r.viewport(0,0,e,n),r.scissor(0,0,e,n)}readTexture(t,e,n,r,i,o){const a=this.gl;o||(o=1),this.frameBufferBound||this.attachFramebuffer(t,e,n);const s=this.getEncoder(i,o),u=s.allocate(e*n);return a.bindTexture(a.TEXTURE_2D,t),a.framebufferTexture2D(a.FRAMEBUFFER,a.COLOR_ATTACHMENT0,a.TEXTURE_2D,t,0),a.readPixels(0,0,e,n,a.RGBA,s.textureType,u),this.checkError(),s.decode(u,r)}isFramebufferReady(){return!0}getActiveTexture(){const t=this.gl;return\"TEXTURE\"+(t.getParameter(this.gl.ACTIVE_TEXTURE)-t.TEXTURE0)}getTextureBinding(){return this.gl.getParameter(this.gl.TEXTURE_BINDING_2D)}getFramebufferBinding(){return this.gl.getParameter(this.gl.FRAMEBUFFER_BINDING)}setVertexAttributes(t,e){const n=this.gl;n.vertexAttribPointer(t,3,n.FLOAT,!1,20,0),n.enableVertexAttribArray(t),-1!==e&&(n.vertexAttribPointer(e,2,n.FLOAT,!1,20,12),n.enableVertexAttribArray(e)),this.checkError()}createProgram(t,e){const n=this.gl,r=n.createProgram();return n.attachShader(r,t),n.attachShader(r,e),n.linkProgram(r),r}compileShader(t,e){const n=this.gl,r=n.createShader(e);if(!r)throw new Error(`createShader() returned null with type ${e}`);if(n.shaderSource(r,t),n.compileShader(r),!1===n.getShaderParameter(r,n.COMPILE_STATUS))throw new Error(`Failed to compile shader: ${n.getShaderInfoLog(r)}\\nShader source:\\n${t}`);return r}deleteShader(t){this.gl.deleteShader(t)}bindTextureToUniform(t,e,n){const r=this.gl;r.activeTexture(r.TEXTURE0+e),this.checkError(),r.bindTexture(r.TEXTURE_2D,t),this.checkError(),r.uniform1i(n,e),this.checkError()}draw(){this.gl.drawArrays(this.gl.TRIANGLE_STRIP,0,4),this.checkError()}checkError(){if(a.env.debug){const t=this.gl,e=t.getError();let n=\"\";switch(e){case t.NO_ERROR:return;case t.INVALID_ENUM:n=\"INVALID_ENUM\";break;case t.INVALID_VALUE:n=\"INVALID_VALUE\";break;case t.INVALID_OPERATION:n=\"INVALID_OPERATION\";break;case t.INVALID_FRAMEBUFFER_OPERATION:n=\"INVALID_FRAMEBUFFER_OPERATION\";break;case t.OUT_OF_MEMORY:n=\"OUT_OF_MEMORY\";break;case t.CONTEXT_LOST_WEBGL:n=\"CONTEXT_LOST_WEBGL\";break;default:n=`Unknown WebGL Error: ${e.toString(16)}`}throw new Error(n)}}deleteTexture(t){this.gl.deleteTexture(t)}deleteProgram(t){this.gl.deleteProgram(t)}getEncoder(t,e,n=0){if(2===this.version)return new s.RedFloat32DataEncoder(this.gl,e);switch(t){case\"float\":return 1===n||this.isRenderFloat32Supported?new s.RGBAFloatDataEncoder(this.gl,e):new s.RGBAFloatDataEncoder(this.gl,e,this.textureHalfFloatExtension.HALF_FLOAT_OES);case\"int\":throw new Error(\"not implemented\");case\"byte\":return new s.Uint8DataEncoder(this.gl,e);default:throw new Error(`Invalid dataType: ${t}`)}}clearActiveTextures(){const t=this.gl;for(let e=0;e<this.maxTextureImageUnits;++e)t.activeTexture(t.TEXTURE0+e),t.bindTexture(t.TEXTURE_2D,null)}dispose(){if(this.disposed)return;const t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,null),t.deleteFramebuffer(this.framebuffer),t.bindBuffer(t.ARRAY_BUFFER,null),t.deleteBuffer(this.vertexbuffer),t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null),t.finish(),this.disposed=!0}createDefaultGeometry(){return new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0])}createVertexbuffer(){const t=this.gl,e=t.createBuffer();if(!e)throw new Error(\"createBuffer() returned null\");const n=this.createDefaultGeometry();return t.bindBuffer(t.ARRAY_BUFFER,e),t.bufferData(t.ARRAY_BUFFER,n,t.STATIC_DRAW),this.checkError(),e}createFramebuffer(){const t=this.gl.createFramebuffer();if(!t)throw new Error(\"createFramebuffer returned null\");return t}queryVitalParameters(){const t=this.gl;if(this.isFloatTextureAttachableToFrameBuffer=this.checkFloatTextureAttachableToFrameBuffer(),this.isRenderFloat32Supported=this.checkRenderFloat32(),this.isFloat32DownloadSupported=this.checkFloat32Download(),1===this.version&&!this.textureHalfFloatExtension&&!this.isRenderFloat32Supported)throw new Error(\"both float32 and float16 TextureType are not supported\");this.isBlendSupported=!this.isRenderFloat32Supported||this.checkFloat32Blend(),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE),this.maxTextureImageUnits=t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS),this.version}getExtensions(){2===this.version?(this.colorBufferFloatExtension=this.gl.getExtension(\"EXT_color_buffer_float\"),this.disjointTimerQueryWebgl2Extension=this.gl.getExtension(\"EXT_disjoint_timer_query_webgl2\")):(this.textureFloatExtension=this.gl.getExtension(\"OES_texture_float\"),this.textureHalfFloatExtension=this.gl.getExtension(\"OES_texture_half_float\"))}checkFloatTextureAttachableToFrameBuffer(){const t=this.gl,e=t.createTexture();t.bindTexture(t.TEXTURE_2D,e);const n=2===this.version?t.RGBA32F:t.RGBA;t.texImage2D(t.TEXTURE_2D,0,n,1,1,0,t.RGBA,t.FLOAT,null);const r=t.createFramebuffer();t.bindFramebuffer(t.FRAMEBUFFER,r),t.framebufferTexture2D(t.FRAMEBUFFER,t.COLOR_ATTACHMENT0,t.TEXTURE_2D,e,0);const i=t.checkFramebufferStatus(t.FRAMEBUFFER)===t.FRAMEBUFFER_COMPLETE;return t.bindTexture(t.TEXTURE_2D,null),t.bindFramebuffer(t.FRAMEBUFFER,null),t.deleteTexture(e),t.deleteFramebuffer(r),i}checkRenderFloat32(){if(2===this.version){if(!this.colorBufferFloatExtension)return!1}else if(!this.textureFloatExtension)return!1;return this.isFloatTextureAttachableToFrameBuffer}checkFloat32Download(){if(2===this.version){if(!this.colorBufferFloatExtension)return!1}else{if(!this.textureFloatExtension)return!1;if(!this.gl.getExtension(\"WEBGL_color_buffer_float\"))return!1}return this.isFloatTextureAttachableToFrameBuffer}checkFloat32Blend(){const t=this.gl;let e,n,r,i,o;try{e=t.createTexture(),n=t.createFramebuffer(),t.bindTexture(t.TEXTURE_2D,e);const a=2===this.version?t.RGBA32F:t.RGBA;return t.texImage2D(t.TEXTURE_2D,0,a,1,1,0,t.RGBA,t.FLOAT,null),t.bindFramebuffer(t.FRAMEBUFFER,n),t.framebufferTexture2D(t.FRAMEBUFFER,t.COLOR_ATTACHMENT0,t.TEXTURE_2D,e,0),t.enable(t.BLEND),r=t.createShader(t.VERTEX_SHADER),!!r&&(t.shaderSource(r,\"void main(){}\"),t.compileShader(r),i=t.createShader(t.FRAGMENT_SHADER),!!i&&(t.shaderSource(i,\"precision highp float;void main(){gl_FragColor=vec4(0.5);}\"),t.compileShader(i),o=t.createProgram(),!!o&&(t.attachShader(o,r),t.attachShader(o,i),t.linkProgram(o),t.useProgram(o),t.drawArrays(t.POINTS,0,1),t.getError()===t.NO_ERROR)))}finally{t.disable(t.BLEND),o&&t.deleteProgram(o),r&&t.deleteShader(r),i&&t.deleteShader(i),n&&(t.bindFramebuffer(t.FRAMEBUFFER,null),t.deleteFramebuffer(n)),e&&(t.bindTexture(t.TEXTURE_2D,null),t.deleteTexture(e))}}beginTimer(){if(2===this.version&&this.disjointTimerQueryWebgl2Extension){const t=this.gl,e=this.disjointTimerQueryWebgl2Extension,n=t.createQuery();return t.beginQuery(e.TIME_ELAPSED_EXT,n),n}throw new Error(\"WebGL1 profiling currently not supported.\")}endTimer(){if(2!==this.version||!this.disjointTimerQueryWebgl2Extension)throw new Error(\"WebGL1 profiling currently not supported\");{const t=this.gl,e=this.disjointTimerQueryWebgl2Extension;t.endQuery(e.TIME_ELAPSED_EXT)}}isTimerResultAvailable(t){let e=!1,n=!1;if(2!==this.version||!this.disjointTimerQueryWebgl2Extension)throw new Error(\"WebGL1 profiling currently not supported\");{const r=this.gl,i=this.disjointTimerQueryWebgl2Extension;e=r.getQueryParameter(t,r.QUERY_RESULT_AVAILABLE),n=r.getParameter(i.GPU_DISJOINT_EXT)}return e&&!n}getTimerResult(t){let e=0;if(2!==this.version)throw new Error(\"WebGL1 profiling currently not supported\");{const n=this.gl;e=n.getQueryParameter(t,n.QUERY_RESULT),n.deleteQuery(t)}return e/1e6}async waitForQueryAndGetTime(t){return await(0,u.repeatedTry)((()=>this.isTimerResultAvailable(t))),this.getTimerResult(t)}async createAndWaitForFence(){const t=this.createFence(this.gl);return this.pollFence(t)}createFence(t){let e;const n=t,r=n.fenceSync(n.SYNC_GPU_COMMANDS_COMPLETE,0);return t.flush(),e=null===r?()=>!0:()=>{const t=n.clientWaitSync(r,0,0);return t===n.ALREADY_SIGNALED||t===n.CONDITION_SATISFIED},{query:r,isFencePassed:e}}async pollFence(t){return new Promise((e=>{this.addItemToPoll((()=>t.isFencePassed()),(()=>e()))}))}pollItems(){const t=c(this.itemsToPoll.map((t=>t.isDoneFn)));for(let e=0;e<=t;++e){const{resolveFn:t}=this.itemsToPoll[e];t()}this.itemsToPoll=this.itemsToPoll.slice(t+1)}async addItemToPoll(t,e){this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1||await(0,u.repeatedTry)((()=>(this.pollItems(),0===this.itemsToPoll.length)))}}},1036:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.ExecutionPlan=void 0;const r=n(6231);class i{constructor(t,e){this.op=t,this.node=e}}e.ExecutionPlan=class{constructor(t,e,n){this.graph=t,this.profiler=n,this.initialize(e)}initialize(t){this.profiler.event(\"session\",\"ExecutionPlan.initialize\",(()=>{const e=this.graph.getNodes();if(e.length!==t.length)throw new Error(\"The size of nodes and OPs do not match.\");this._ops=t.map(((t,n)=>new i(t,e[n]))),this.reset(),this._starter=[],this._ops.forEach(((t,e)=>{let n=!0;for(const e of t.node.inputs)if(!this._values[e]&&-1===this.graph.getInputIndices().indexOf(e)){n=!1;break}n&&this._starter.push(e)}))}))}reset(){this._values=this.graph.getValues().map((t=>t.tensor))}async execute(t,e){return this.profiler.event(\"session\",\"ExecutionPlan.execute\",(async()=>{this.reset();const n=t.createInferenceHandler(),i=this.graph.getInputIndices();if(e.length!==i.length)throw new Error(`number of input tensors don't match the number of inputs to the model: actual: ${e.length} expected: ${i.length}`);e.forEach(((t,e)=>{const n=i[e];this._values[n]=t}));const o=this._starter.slice(0),a=this.graph.getValues(),s=this.graph.getNodes();let u=0;for(;u<o.length;){const t=o[u++],e=this._ops[t],i=e.node.inputs.map((t=>this._values[t]));if(-1!==i.indexOf(void 0))throw new Error(`unresolved input detected: op: ${e.node}`);const c=i;r.Logger.verbose(\"ExecPlan\",`Runing op:${e.node.name} (${c.map(((t,n)=>`'${e.node.inputs[n]}': ${t.type}[${t.dims.join(\",\")}]`)).join(\", \")})`);const l=await this.profiler.event(\"node\",e.node.name,(async()=>e.op.impl(n,c,e.op.context)));if(l.length!==e.node.outputs.length)throw new Error(\"the size of output does not match model definition.\");l.forEach(((t,n)=>{const r=e.node.outputs[n];if(this._values[r])throw new Error(`output [${r}] already has value: op:${e.node.name}`);this._values[r]=t}));const p=new Set;l.forEach(((t,n)=>{const r=e.node.outputs[n];for(const t of a[r].to){const e=s[t];let n=!0;for(const t of e.inputs)if(!this._values[t]){n=!1;break}n&&p.add(t)}})),o.push(...p)}const c=[];for(let t=0;t<this.graph.getOutputIndices().length;t++){const e=this.graph.getOutputIndices()[t],n=this._values[e];if(void 0===n)throw new Error(`required output [${e}] does not have value`);0===e?await n.getData():n.data,c.push(n)}return r.Logger.verbose(\"ExecPlan\",\"disposing of inferenceHandler\"),n.dispose(),c}))}}},7070:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.Graph=void 0;const r=n(1446),i=n(7778),o=n(9395),a=n(9162),s=n(2517);var u=o.onnxruntime.experimental.fbs;e.Graph={from:(t,e)=>new p(t,e)};class c{constructor(t){this._from=void 0,this._to=[],this.tensor=void 0,this.type=void 0,t&&(this.type=s.ProtoUtil.tensorValueTypeFromProto(t.type.tensorType))}get from(){return this._from}get to(){return this._to}}class l{constructor(t,e){t instanceof r.onnx.NodeProto?(this.name=t.name,this.opType=t.opType,this.attributes=new i.Attribute(t.attribute)):t instanceof u.Node&&(this.name=null!=e?e:t.name(),this.opType=t.opType(),this.attributes=new i.Attribute(s.ProtoUtil.tensorAttributesFromORTFormat(t))),this.inputs=[],this.outputs=[],this.executeNode=!0}}class p{constructor(t,e){if(!t)throw new TypeError(\"graph is empty\");this.buildGraph(t),this.transformGraph(e),this.checkIsAcyclic()}getInputIndices(){return this._allInputIndices}getInputNames(){return this._allInputNames}getOutputIndices(){return this._allOutputIndices}getOutputNames(){return this._allOutputNames}getValues(){return this._allData}getNodes(){return this._nodes}buildGraph(t){if(t instanceof r.onnx.GraphProto)this.buildGraphFromOnnxFormat(t);else{if(!(t instanceof u.Graph))throw new TypeError(\"Graph type is not supported.\");this.buildGraphFromOrtFormat(t)}}buildGraphFromOnnxFormat(t){const e=new Map;this._allData=[],this._allInputIndices=[],this._allInputNames=[],this._allOutputIndices=[],this._allOutputNames=[],this._nodes=[];const n=new Map;if(!t.input)throw new Error(\"missing information in graph: input\");const r=[];for(const n of t.input){if(e.has(n.name))throw new Error(`duplicated input name: ${n.name}`);const t=this._allData.push(new c(n))-1;e.set(n.name,t),r.push(n.name)}if(!t.initializer)throw new Error(\"missing information in graph: initializer\");for(const n of t.initializer){let t=e.get(n.name);if(void 0===t){const r=new c;r.type={shape:{dims:s.ProtoUtil.tensorDimsFromProto(n.dims)},tensorType:s.ProtoUtil.tensorDataTypeFromProto(n.dataType)},t=this._allData.push(r)-1,e.set(n.name,t)}this._allData[t]._from=-1,this._allData[t].tensor=a.Tensor.fromProto(n)}for(let t=0;t<this._allData.length;t++)this._allData[t].tensor||(this._allInputIndices.push(t),this._allInputNames.push(r[t]));if(!t.output)throw new Error(\"missing information in graph: output\");for(const n of t.output){if(e.has(n.name))throw new Error(`duplicated output name: ${n.name}`);const t=this._allData.push(new c(n))-1;e.set(n.name,t),this._allOutputIndices.push(t),this._allOutputNames.push(n.name)}if(!t.node)throw new Error(\"missing information in graph: node\");for(const e of t.node){if(!e.name)for(let t=0;;t++){const r=`unnamed_${e.opType}_${t}`;if(!n.has(r)){e.name=r;break}}if(n.has(e.name))throw new Error(`duplicated node name: ${e.name}`);const t=this._nodes.push(new l(e))-1;n.set(e.name,t)}for(let n=0;n<this._nodes.length;n++){const r=this._nodes[n],i=t.node[n];if(!i.output)throw new Error(`missing output for node: ${i.name}`);for(const t of i.output){let o=e.get(t);if(void 0===o&&(o=this._allData.push(new c)-1,e.set(t,o)),r.outputs.push(o),void 0!==this._allData[o]._from)throw new Error(`multiple nodes output to one data value: ${o}`);if(this._allData[o]._from=n,\"Constant\"===i.opType){if(!i.attribute||1!==i.attribute.length||!i.attribute[0].t)throw new Error(\"missing attributes or missing tensor value in attributes for this Constant operator\");if(!i.output||1!==i.output.length)throw new Error(\"missing output or incorrect number of outputs for this Constant operator\");r.outputs.pop(),r.executeNode=!1,this._allData[o]._from=-1,this._allData[o].tensor=a.Tensor.fromProto(i.attribute[0].t)}}}for(let n=0;n<this._nodes.length;n++){const r=this._nodes[n],i=t.node[n];if(!i.input)throw new Error(`missing input for node: ${i.name}`);for(const t of i.input){const o=e.get(t);if(void 0===o){if(\"\"===t&&3===i.input.length&&\"Resize\"===i.opType)continue;throw new Error(`unrecognized input '${t}' for node: ${i.name}`)}r.inputs.push(o),this._allData[o]._to.push(n)}}return!0}buildGraphFromOrtFormat(t){var e,n,r;const i=new Map;this._allData=[],this._allInputIndices=[],this._allInputNames=[],this._allOutputIndices=[],this._allOutputNames=[],this._nodes=[];const o=new Map,p=[];for(let o=0;o<t.inputsLength();o++){const a=t.inputs(o);if(i.has(a))throw new Error(`duplicated input name: ${a}`);for(let o=0;o<t.nodeArgsLength();o++)if((null===(e=t.nodeArgs(o))||void 0===e?void 0:e.name())===a){const e=new c;if((null===(r=null===(n=t.nodeArgs(o))||void 0===n?void 0:n.type())||void 0===r?void 0:r.valueType())!==u.TypeInfoValue.tensor_type)throw new Error(\"Unexpected value type for the nodeArg.\");const l=t.nodeArgs(o).type().value(new u.TensorTypeAndShape),f=s.ProtoUtil.tensorDataTypeFromProto(l.elemType()),d=l.shape(),h=[];for(let t=0;t<d.dimLength();t++)h.push(s.LongUtil.longToNumber(d.dim(t).value().dimValue()));e.type={shape:{dims:h},tensorType:f};const g=this._allData.push(e)-1;i.set(a,g),p.push(a)}}for(let e=0;e<t.initializersLength();e++){const n=t.initializers(e);let r=i.get(n.name());if(void 0===r){const t=new c,e=s.ProtoUtil.tensorDimsFromORTFormat(n),o=s.ProtoUtil.tensorDataTypeFromProto(n.dataType());t.type={shape:{dims:e},tensorType:o},r=this._allData.push(t)-1,i.set(n.name(),r)}this._allData[r]._from=-1,this._allData[r].tensor=a.Tensor.fromOrtTensor(n)}for(let t=0;t<this._allData.length;t++)this._allData[t].tensor||(this._allInputIndices.push(t),this._allInputNames.push(p[t]));for(let e=0;e<t.outputsLength();e++){const n=t.outputs(e);if(i.has(n))throw new Error(`duplicated output name: ${n}`);const r=this._allData.push(new c)-1;i.set(n,r),this._allOutputIndices.push(r),this._allOutputNames.push(n)}if(!t.nodes)throw new Error(\"missing information in graph: node\");for(let e=0;e<t.nodesLength();e++){const n=t.nodes(e);let r=n.name();if(!r)for(let t=0;r=`unnamed_${n.opType()}_${t}`,o.has(r);t++);if(o.has(r))throw new Error(`duplicated node name: ${r}`);const i=this._nodes.push(new l(n,r))-1;o.set(r,i)}for(let e=0;e<this._nodes.length;e++){const n=this._nodes[e],r=t.nodes(e);if(null==r)throw new Error(`No node exists at index ${e}`);if(0===(null==r?void 0:r.outputsLength()))throw new Error(`missing output for node: ${r.name}`);for(let t=0;t<(null==r?void 0:r.outputsLength());t++){const o=null==r?void 0:r.outputs(t);let s=i.get(o);if(void 0===s&&(s=this._allData.push(new c)-1,i.set(o,s)),n.outputs.push(s),void 0!==this._allData[s]._from)throw new Error(`multiple nodes output to one data value: ${s}`);if(this._allData[s]._from=e,\"Constant\"===r.opType()){if(1!==r.attributesLength()||!r.attributes(0).t())throw new Error(\"missing attributes or missing tensor value in attributes for this Constant operator\");if(1!==r.outputsLength())throw new Error(\"missing output or incorrect number of outputs for this Constant operator\");n.outputs.pop(),n.executeNode=!1,this._allData[s]._from=-1,this._allData[s].tensor=a.Tensor.fromOrtTensor(r.attributes(0).t())}}}for(let e=0;e<this._nodes.length;e++){const n=this._nodes[e],r=t.nodes(e);if(0===r.inputsLength())throw new Error(`missing input for node: ${r.name}`);for(let t=0;t<r.inputsLength();t++){const o=r.inputs(t),a=i.get(o);if(void 0===a)throw new Error(`unrecognized input '${o}' for node: ${r.name()}`);n.inputs.push(a),this._allData[a]._to.push(e)}}}checkIsAcyclic(){const t=new Set;this._allInputIndices.forEach((e=>{this._allData[e]._to.forEach((e=>{t.add(e)}))}));const e=Array.from(t),n=new Array(this._nodes.length).fill(\"white\");for(;e.length>0;){const t=e.pop();\"gray\"===n[t]?n[t]=\"black\":(e.push(t),n[t]=\"gray\",this._nodes[t].outputs.forEach((r=>{const i=this._allData[r];if(void 0!==i.tensor)throw new Error(\"node outputs should not be initialized\");if(i._from!==t)throw new Error(\"from property of the Value object doesn't match index of Node being processed\");i._to.forEach((t=>{if(\"gray\"===n[t])throw new Error(\"model graph is cyclic\");\"white\"===n[t]&&e.push(t)}))})))}}transformGraph(t){this.removeAllIdentityNodes(),this.removeAllDropoutNodes(),this.fuseConvActivationNodes(),t&&t.transformGraph(this),this.finalizeGraph()}finalizeGraph(){let t=0;for(let e=0;e<this._nodes.length;e++)this._nodes[e].executeNode?t>0&&(this._nodes[e].inputs.forEach((n=>{const r=this._allData[n]._to.indexOf(e+t);-1!==r&&(this._allData[n]._to[r]=e)})),this._nodes[e].outputs.forEach((n=>{this._allData[n]._from&&this._allData[n]._from===e+t&&(this._allData[n]._from=e)}))):(t++,this._nodes[e].outputs.forEach((t=>{this._allData[t]._from=-2})),this._nodes.splice(e,1),e--);t=0;for(let e=0;e<this._allData.length;e++)if(-2!==this._allData[e].from||-1!==this._allOutputIndices.indexOf(e+t)){if(t>0){let n=-1;void 0!==this._allData[e].from&&-1!==this._allData[e].from?(n=this._nodes[this._allData[e].from].outputs.indexOf(e+t),-1!==n&&(this._nodes[this._allData[e].from].outputs[n]=e)):(n=this._allInputIndices.indexOf(e+t),-1!==n&&(this._allInputIndices[n]=e)),this._allData[e].to.forEach((r=>{n=this._nodes[r].inputs.indexOf(e+t),-1!==n&&(this._nodes[r].inputs[n]=e)})),0===this._allData[e].to.length&&(n=this._allOutputIndices.indexOf(e+t),-1!==n&&(this._allOutputIndices[n]=e))}}else t++,this._allData.splice(e,1),e--}deleteNode(t){const 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startModel(t){t.startObject(9)}static addIrVersion(t,e){t.addFieldInt64(0,e,t.createLong(0,0))}static addOpsetImport(t,e){t.addFieldOffset(1,e,0)}static createOpsetImportVector(t,e){t.startVector(4,e.length,4);for(let n=e.length-1;n>=0;n--)t.addOffset(e[n]);return t.endVector()}static startOpsetImportVector(t,e){t.startVector(4,e,4)}static addProducerName(t,e){t.addFieldOffset(2,e,0)}static addProducerVersion(t,e){t.addFieldOffset(3,e,0)}static addDomain(t,e){t.addFieldOffset(4,e,0)}static addModelVersion(t,e){t.addFieldInt64(5,e,t.createLong(0,0))}static addDocString(t,e){t.addFieldOffset(6,e,0)}static addGraph(t,e){t.addFieldOffset(7,e,0)}static addGraphDocString(t,e){t.addFieldOffset(8,e,0)}static endModel(t){return t.endObject()}static createModel(t,e,r,i,o,a,s,u,c,l){return 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t=this.bb.__offset(this.bb_pos,4);return t?new Uint32Array(this.bb.bytes().buffer,this.bb.bytes().byteOffset+this.bb.__vector(this.bb_pos+t),this.bb.__vector_len(this.bb_pos+t)):null}kernelDefHashes(t){let e=this.bb.__offset(this.bb_pos,6);return e?this.bb.readUint64(this.bb.__vector(this.bb_pos+e)+8*t):this.bb.createLong(0,0)}kernelDefHashesLength(){let t=this.bb.__offset(this.bb_pos,6);return t?this.bb.__vector_len(this.bb_pos+t):0}static startKernelCreateInfos(t){t.startObject(2)}static addNodeIndices(t,e){t.addFieldOffset(0,e,0)}static createNodeIndicesVector(t,e){t.startVector(4,e.length,4);for(let n=e.length-1;n>=0;n--)t.addInt32(e[n]);return t.endVector()}static startNodeIndicesVector(t,e){t.startVector(4,e,4)}static addKernelDefHashes(t,e){t.addFieldOffset(1,e,0)}static createKernelDefHashesVector(t,e){t.startVector(8,e.length,8);for(let n=e.length-1;n>=0;n--)t.addInt64(e[n]);return t.endVector()}static startKernelDefHashesVector(t,e){t.startVector(8,e,8)}static 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startSubGraphSessionState(t){t.startObject(2)}static addGraphId(t,e){t.addFieldOffset(0,e,0)}static addSessionState(t,e){t.addFieldOffset(1,e,0)}static endSubGraphSessionState(t){let e=t.endObject();return t.requiredField(e,4),e}static createSubGraphSessionState(t,e,r){return n.startSubGraphSessionState(t),n.addGraphId(t,e),n.addSessionState(t,r),n.endSubGraphSessionState(t)}}e.SubGraphSessionState=n}(e.fbs||(e.fbs={}))}(t.experimental||(t.experimental={}))}(e.onnxruntime||(e.onnxruntime={})),function(t){!function(e){!function(e){class n{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsSessionState(t,e){return(e||new n).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsSessionState(t,e){return t.setPosition(t.position()+r.flatbuffers.SIZE_PREFIX_LENGTH),(e||new n).__init(t.readInt32(t.position())+t.position(),t)}kernels(e){let n=this.bb.__offset(this.bb_pos,4);return n?(e||new 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n?(e||new t.experimental.fbs.SessionState).__init(this.bb.__indirect(this.bb_pos+n),this.bb):null}static startInferenceSession(t){t.startObject(3)}static addOrtVersion(t,e){t.addFieldOffset(0,e,0)}static addModel(t,e){t.addFieldOffset(1,e,0)}static addSessionState(t,e){t.addFieldOffset(2,e,0)}static endInferenceSession(t){return t.endObject()}static finishInferenceSessionBuffer(t,e){t.finish(e,\"ORTM\")}static finishSizePrefixedInferenceSessionBuffer(t,e){t.finish(e,\"ORTM\",!0)}static createInferenceSession(t,e,r,i){return n.startInferenceSession(t),n.addOrtVersion(t,e),n.addModel(t,r),n.addSessionState(t,i),n.endInferenceSession(t)}}e.InferenceSession=n}(e.fbs||(e.fbs={}))}(t.experimental||(t.experimental={}))}(e.onnxruntime||(e.onnxruntime={}))},7448:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.OnnxjsSessionHandler=void 0;const r=n(1670),i=n(9162);e.OnnxjsSessionHandler=class{constructor(t){this.session=t,this.inputNames=this.session.inputNames,this.outputNames=this.session.outputNames}async dispose(){}async run(t,e,n){const o=new Map;for(const e in t)if(Object.hasOwnProperty.call(t,e)){const n=t[e];o.set(e,new i.Tensor(n.dims,n.type,void 0,void 0,n.data))}const a=await this.session.run(o),s={};return a.forEach(((t,e)=>{s[e]=new r.Tensor(t.type,t.data,t.dims)})),s}startProfiling(){this.session.startProfiling()}endProfiling(){this.session.endProfiling()}}},6919:(t,e,n)=>{\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.Session=void 0;const r=n(7067),i=n(1296),o=n(7091),a=n(1036),s=n(6231),u=n(2644);e.Session=class{constructor(t={}){this._initialized=!1,this.backendHint=t.backendHint,this.profiler=s.Profiler.create(t.profiler),this.context={profiler:this.profiler,graphInputTypes:[],graphInputDims:[]}}get inputNames(){return this._model.graph.getInputNames()}get outputNames(){return this._model.graph.getOutputNames()}startProfiling(){this.profiler.start()}endProfiling(){this.profiler.stop()}async loadModel(t,e,n){await this.profiler.event(\"session\",\"Session.loadModel\",(async()=>{const a=await(0,o.resolveBackend)(this.backendHint);if(this.sessionHandler=a.createSessionHandler(this.context),this._model=new u.Model,\"string\"==typeof t){const e=t.endsWith(\".ort\");if(\"undefined\"==typeof fetch){const n=await(0,i.promisify)(r.readFile)(t);this.initialize(n,e)}else{const n=await fetch(t),r=await n.arrayBuffer();this.initialize(new Uint8Array(r),e)}}else if(ArrayBuffer.isView(t))this.initialize(t);else{const r=new Uint8Array(t,e||0,n||t.byteLength);this.initialize(r)}}))}initialize(t,e){if(this._initialized)throw new Error(\"already initialized\");this.profiler.event(\"session\",\"Session.initialize\",(()=>{const n=this.sessionHandler.transformGraph?this.sessionHandler:void 0;this._model.load(t,n,e),this.sessionHandler.onGraphInitialized&&this.sessionHandler.onGraphInitialized(this._model.graph),this.initializeOps(this._model.graph),this._executionPlan=new a.ExecutionPlan(this._model.graph,this._ops,this.profiler)})),this._initialized=!0}async run(t){if(!this._initialized)throw new Error(\"session not initialized yet\");return this.profiler.event(\"session\",\"Session.run\",(async()=>{const e=this.normalizeAndValidateInputs(t),n=await this._executionPlan.execute(this.sessionHandler,e);return this.createOutput(n)}))}normalizeAndValidateInputs(t){const e=this._model.graph.getInputNames();if(Array.isArray(t)){if(t.length!==e.length)throw new Error(`incorrect input array length: expected ${e.length} but got ${t.length}`)}else{if(t.size!==e.length)throw new Error(`incorrect input map size: expected ${e.length} but got ${t.size}`);const n=new Array(t.size);let r=0;for(let i=0;i<e.length;++i){const o=t.get(e[i]);if(!o)throw new Error(`missing input tensor for: '${name}'`);n[r++]=o}t=n}if(this.context.graphInputTypes&&0!==this.context.graphInputTypes.length&&this.context.graphInputDims&&0!==this.context.graphInputDims.length)this.validateInputTensorDims(this.context.graphInputDims,t,!1);else{const e=this._model.graph.getInputIndices(),n=this._model.graph.getValues(),r=new Array(e.length);for(let i=0;i<e.length;++i){const o=n[e[i]];r[i]=o.type.shape.dims,this.context.graphInputTypes.push(o.type.tensorType),this.context.graphInputDims.push(t[i].dims)}this.validateInputTensorDims(r,t,!0)}return this.validateInputTensorTypes(this.context.graphInputTypes,t),t}validateInputTensorTypes(t,e){for(let n=0;n<e.length;n++){const r=t[n],i=e[n].type;if(r!==i)throw new Error(`input tensor[${n}] check failed: expected type '${r}' but got ${i}`)}}validateInputTensorDims(t,e,n){for(let r=0;r<e.length;r++){const i=t[r],o=e[r].dims;if(!this.compareTensorDims(i,o,n))throw new Error(`input tensor[${r}] check failed: expected shape '[${i.join(\",\")}]' but got [${o.join(\",\")}]`)}}compareTensorDims(t,e,n){if(t.length!==e.length)return!1;for(let r=0;r<t.length;++r)if(t[r]!==e[r]&&(!n||0!==t[r]))return!1;return!0}createOutput(t){const e=this._model.graph.getOutputNames();if(t.length!==e.length)throw new Error(\"expected number of outputs do not match number of generated outputs\");const n=new Map;for(let r=0;r<e.length;++r)n.set(e[r],t[r]);return n}initializeOps(t){const e=t.getNodes();this._ops=new Array(e.length);for(let n=0;n<e.length;n++)this._ops[n]=this.sessionHandler.resolve(e[n],this._model.opsets,t)}}},9162:function(t,e,n){\"use strict\";var r=this&&this.__importDefault||function(t){return t&&t.__esModule?t:{default:t}};Object.defineProperty(e,\"__esModule\",{value:!0}),e.Tensor=void 0;const i=n(3442),o=r(n(3720)),a=n(1446),s=n(9395),u=n(2517);var c=s.onnxruntime.experimental.fbs;class l{get data(){if(void 0===this.cache){const t=this.dataProvider(this.dataId);if(t.length!==this.size)throw new Error(\"Length of data provided by the Data Provider is inconsistent with the dims of this Tensor.\");this.cache=t}return this.cache}get stringData(){if(\"string\"!==this.type)throw new TypeError(\"data type is not string\");return this.data}get integerData(){switch(this.type){case\"uint8\":case\"int8\":case\"uint16\":case\"int16\":case\"int32\":case\"uint32\":case\"bool\":return this.data;default:throw new TypeError(\"data type is not integer (uint8, int8, uint16, int16, int32, uint32, bool)\")}}get floatData(){switch(this.type){case\"float32\":case\"float64\":return this.data;default:throw new TypeError(\"data type is not float (float32, float64)\")}}get numberData(){if(\"string\"!==this.type)return this.data;throw new TypeError(\"type cannot be non-number (string)\")}get(t){return this.data[u.ShapeUtil.indicesToOffset(t,this.strides)]}set(t,e){this.data[u.ShapeUtil.indicesToOffset(t,this.strides)]=e}async getData(){return void 0===this.cache&&(this.cache=await this.asyncDataProvider(this.dataId)),this.cache}get strides(){return this._strides||(this._strides=u.ShapeUtil.computeStrides(this.dims)),this._strides}constructor(t,e,n,r,o,a=i.Guid.create()){this.dims=t,this.type=e,this.dataProvider=n,this.asyncDataProvider=r,this.cache=o,this.dataId=a,this.size=u.ShapeUtil.validateDimsAndCalcSize(t);const s=this.size,c=void 0===n&&void 0===r&&void 0===o;if(void 0!==o&&o.length!==s)throw new RangeError(\"Input dims doesn't match data length.\");if(\"string\"===e){if(!(void 0===o||Array.isArray(o)&&o.every((t=>\"string\"==typeof t))))throw new TypeError(\"cache should be a string array\");c&&(this.cache=new Array(s))}else{if(void 0!==o){const t=f(e);if(!(o instanceof t))throw new TypeError(`cache should be type ${t.name}`)}if(c){const t=new ArrayBuffer(s*function(t){switch(t){case\"bool\":case\"int8\":case\"uint8\":return 1;case\"int16\":case\"uint16\":return 2;case\"int32\":case\"uint32\":case\"float32\":return 4;case\"float64\":return 8;default:throw new Error(`cannot calculate sizeof() on type ${t}`)}}(e));this.cache=function(t,e){return new(f(e))(t)}(t,e)}}}static fromProto(t){if(!t)throw new Error(\"cannot construct Value from an empty tensor\");const e=u.ProtoUtil.tensorDataTypeFromProto(t.dataType),n=u.ProtoUtil.tensorDimsFromProto(t.dims),r=new l(n,e);if(\"string\"===e)t.stringData.forEach(((t,e)=>{r.data[e]=(0,u.decodeUtf8String)(t)}));else if(t.rawData&&\"number\"==typeof t.rawData.byteLength&&t.rawData.byteLength>0){const e=r.data,n=new DataView(t.rawData.buffer,t.rawData.byteOffset,t.rawData.byteLength),i=p(t.dataType),o=t.rawData.byteLength/i;if(t.rawData.byteLength%i!=0)throw new Error(\"invalid buffer length\");if(e.length!==o)throw new Error(\"buffer length mismatch\");for(let r=0;r<o;r++){const o=h(n,t.dataType,r*i);e[r]=o}}else{let e;switch(t.dataType){case a.onnx.TensorProto.DataType.FLOAT:e=t.floatData;break;case a.onnx.TensorProto.DataType.INT32:case a.onnx.TensorProto.DataType.INT16:case a.onnx.TensorProto.DataType.UINT16:case a.onnx.TensorProto.DataType.INT8:case a.onnx.TensorProto.DataType.UINT8:case a.onnx.TensorProto.DataType.BOOL:e=t.int32Data;break;case a.onnx.TensorProto.DataType.INT64:e=t.int64Data;break;case a.onnx.TensorProto.DataType.DOUBLE:e=t.doubleData;break;case a.onnx.TensorProto.DataType.UINT32:case a.onnx.TensorProto.DataType.UINT64:e=t.uint64Data;break;default:throw new Error(\"unspecific error\")}if(null==e)throw new Error(\"failed to populate data from a tensorproto value\");const n=r.data;if(n.length!==e.length)throw new Error(\"array length mismatch\");for(let r=0;r<e.length;r++){const i=e[r];o.default.isLong(i)?n[r]=d(i,t.dataType):n[r]=i}}return r}static fromData(t,e,n){return new l(e,n,void 0,void 0,t)}static fromOrtTensor(t){if(!t)throw new Error(\"cannot construct Value from an empty tensor\");const e=u.ProtoUtil.tensorDimsFromORTFormat(t),n=u.ProtoUtil.tensorDataTypeFromProto(t.dataType()),r=new l(e,n);if(\"string\"===n)for(let e=0;e<t.stringDataLength();e++)r.data[e]=t.stringData(e);else if(t.rawDataArray()&&\"number\"==typeof t.rawDataLength()&&t.rawDataLength()>0){const e=r.data,n=new DataView(t.rawDataArray().buffer,t.rawDataArray().byteOffset,t.rawDataLength()),i=p(t.dataType()),o=t.rawDataLength()/i;if(t.rawDataLength()%i!=0)throw new Error(\"invalid buffer length\");if(e.length!==o)throw new Error(\"buffer length mismatch\");for(let r=0;r<o;r++){const o=h(n,t.dataType(),r*i);e[r]=o}}return r}}function p(t){switch(t){case a.onnx.TensorProto.DataType.UINT8:case a.onnx.TensorProto.DataType.INT8:case a.onnx.TensorProto.DataType.BOOL:return 1;case a.onnx.TensorProto.DataType.UINT16:case a.onnx.TensorProto.DataType.INT16:return 2;case a.onnx.TensorProto.DataType.FLOAT:case a.onnx.TensorProto.DataType.INT32:case a.onnx.TensorProto.DataType.UINT32:return 4;case a.onnx.TensorProto.DataType.INT64:case a.onnx.TensorProto.DataType.DOUBLE:case a.onnx.TensorProto.DataType.UINT64:return 8;default:throw new Error(`cannot calculate sizeof() on type ${a.onnx.TensorProto.DataType[t]}`)}}function f(t){switch(t){case\"bool\":case\"uint8\":return Uint8Array;case\"int8\":return Int8Array;case\"int16\":return Int16Array;case\"uint16\":return Uint16Array;case\"int32\":return Int32Array;case\"uint32\":return Uint32Array;case\"float32\":return Float32Array;case\"float64\":return Float64Array;default:throw new Error(\"unspecified error\")}}function d(t,e){if(e===a.onnx.TensorProto.DataType.INT64||e===c.TensorDataType.INT64){if(t.greaterThanOrEqual(2147483648)||t.lessThan(-2147483648))throw new TypeError(\"int64 is not supported\")}else{if(e!==a.onnx.TensorProto.DataType.UINT32&&e!==c.TensorDataType.UINT32&&e!==a.onnx.TensorProto.DataType.UINT64&&e!==c.TensorDataType.UINT64)throw new TypeError(`not a LONG type: ${a.onnx.TensorProto.DataType[e]}`);if(t.greaterThanOrEqual(4294967296)||t.lessThan(0))throw new TypeError(\"uint64 is not supported\")}return t.toNumber()}function h(t,e,n){switch(e){case a.onnx.TensorProto.DataType.BOOL:case a.onnx.TensorProto.DataType.UINT8:return t.getUint8(n);case a.onnx.TensorProto.DataType.INT8:return t.getInt8(n);case a.onnx.TensorProto.DataType.UINT16:return t.getUint16(n,!0);case a.onnx.TensorProto.DataType.INT16:return t.getInt16(n,!0);case a.onnx.TensorProto.DataType.FLOAT:return t.getFloat32(n,!0);case a.onnx.TensorProto.DataType.INT32:return t.getInt32(n,!0);case a.onnx.TensorProto.DataType.UINT32:return t.getUint32(n,!0);case a.onnx.TensorProto.DataType.INT64:return d(o.default.fromBits(t.getUint32(n,!0),t.getUint32(n+4,!0),!1),e);case a.onnx.TensorProto.DataType.DOUBLE:return t.getFloat64(n,!0);case a.onnx.TensorProto.DataType.UINT64:return d(o.default.fromBits(t.getUint32(n,!0),t.getUint32(n+4,!0),!0),e);default:throw new Error(`cannot read from DataView for type ${a.onnx.TensorProto.DataType[e]}`)}}e.Tensor=l},2517:function(t,e,n){\"use strict\";var r=this&&this.__importDefault||function(t){return t&&t.__esModule?t:{default:t}};Object.defineProperty(e,\"__esModule\",{value:!0}),e.decodeUtf8String=e.MAX_CLIP=e.MIN_CLIP=e.PoolConvUtil=e.ReduceUtil=e.SplitUtil=e.MathUtil=e.ShapeUtil=e.LongUtil=e.ProtoUtil=e.GemmUtil=e.arrayCopyHelper=e.BroadcastUtil=e.MatMulUtil=e.ArrayUtil=e.assert=e.checkInputsShape=void 0;const i=n(5686),o=r(n(3720)),a=n(1446),s=n(9162);e.checkInputsShape=function(t,...e){if(!t||t.length!==e.length)return!1;for(let n=0;n<t.length;n++)if(!t[n].dims||t[n].dims.length!==e[n])return!1;return!0},e.assert=function(t,e){if(!t)throw new Error(\"string\"==typeof e?e:e())},e.ArrayUtil=class{static arraysEqual(t,e){if(t.length!==e.length)return!1;for(let n=0;n<t.length;n++)if(t[n]!==e[n])return!1;return!0}};class u{static preprocessInputShapes(t,e){return[1===t.length?[1,t[0]]:t,1===e.length?[e[0],1]:e]}static postprocessOutputShape(t,e,n){1===e&&t.splice(t.length-2,1),1===n&&t.pop()}static calcMatMulShape(t,e){return t[1]!==e[0]?void 0:[t[0],e[1]]}}e.MatMulUtil=u;class c{static calcShape(t,e,n=!1){const r=t.length,i=e.length;if(0===r)return e;if(0===i)return t;const o=Math.max(t.length,e.length),a=new Array(o);if(n){if(r<2||i<2)return;const n=u.calcMatMulShape([t[r-2],t[r-1]],[e[i-2],e[i-1]]);if(void 0===n)return;[a[o-2],a[o-1]]=n}for(let s=n?3:1;s<=o;s++){const n=r-s<0?1:t[r-s],u=i-s<0?1:e[i-s];if(n!==u&&n>1&&u>1)return;a[o-s]=Math.max(n,u)}return a}static index(t,e){const n=new Array(e.length);return c.fillIndex(t,e,n),n}static fillIndex(t,e,n){const r=t.length-e.length;for(let i=0;i<e.length;i++)n[i]=t[r+i]%e[i]}static calc(t,e,n,r,i){const o=c.calcShape(t.dims,e.dims);if(o){if(r&&!f.areEqual(o,t.dims))return;const a=f.size(o),u=r?t:new s.Tensor(o,i||t.type);if(0===o.length)u.set([],n(t.get([]),e.get([])));else{const r=new Array(o.length),i=new Array(t.dims.length),s=new Array(e.dims.length);let l,p=0,f=0,d=!1,h=!1;0===t.dims.length&&(p=t.get([]),d=!0),0===e.dims.length&&(f=e.get([]),h=!0);for(let g=0;g<a;g++){l=g;for(let t=o.length-1;t>=0;t--)r[t]=l%o[t],l=Math.floor(l/o[t]);d||(c.fillIndex(r,t.dims,i),p=t.get(i)),h||(c.fillIndex(r,e.dims,s),f=e.get(s)),u.set(r,n(p,f))}}return u}}static isValidBroadcast(t,e){const n=t.length,r=e.length;if(n>r)return!1;for(let i=1;i<=n;i++)if(1!==t[n-i]&&t[n-i]!==e[r-i])return!1;return!0}static getBroadcastDims(t,e){const n=t.length,r=[];for(let i=0;i<n;i++){const o=n-1-i,a=t[o]||1;(e[e.length-1-i]||1)>1&&1===a&&r.unshift(o)}return r}}e.BroadcastUtil=c,e.arrayCopyHelper=function(t,e,n,r,i){if(r<0||r>=e.length)throw new Error(\"sourceIndex out of bounds\");if(n<0||n>=t.length)throw new Error(\"targetIndex out of bounds\");if(r+i>e.length)throw new Error(\"source indices to be copied are outside bounds\");if(n+i>t.length)throw new Error(\"target array is too small to hold result\");for(let o=0;o<i;o++)t[n+o]=e[r+o]},e.GemmUtil=class{static getShapeOfGemmResult(t,e,n,r,i){if(2!==t.length||2!==n.length)throw new Error(\"shape need to be of size 2\");let o,a,s;e?(o=t[1],a=t[0]):(o=t[0],a=t[1]);let u=-1;if(r?(s=n[0],u=1):(s=n[1],u=0),n[u]!==a)throw new Error(\"dimension mismatch\");if(o<=0||s<=0||a<=0)throw new Error(\"invalid shape specified\");if(i&&!c.isValidBroadcast(i,[o,s]))throw new Error(\"gemm: invalid bias shape for broadcast\");return[o,s,a]}};class l{static tensorDataTypeFromProto(t){switch(t){case a.onnx.TensorProto.DataType.INT8:return\"int8\";case a.onnx.TensorProto.DataType.UINT8:return\"uint8\";case a.onnx.TensorProto.DataType.BOOL:return\"bool\";case a.onnx.TensorProto.DataType.INT16:return\"int16\";case a.onnx.TensorProto.DataType.UINT16:return\"uint16\";case a.onnx.TensorProto.DataType.INT32:return\"int32\";case a.onnx.TensorProto.DataType.UINT32:return\"uint32\";case a.onnx.TensorProto.DataType.FLOAT:return\"float32\";case a.onnx.TensorProto.DataType.DOUBLE:return\"float64\";case a.onnx.TensorProto.DataType.STRING:return\"string\";case a.onnx.TensorProto.DataType.INT64:return\"int32\";case a.onnx.TensorProto.DataType.UINT64:return\"uint32\";default:throw new Error(`unsupported data type: ${a.onnx.TensorProto.DataType[t]}`)}}static tensorDataTypeStringToEnum(t){switch(t){case\"int8\":return a.onnx.TensorProto.DataType.INT8;case\"uint8\":return a.onnx.TensorProto.DataType.UINT8;case\"bool\":return a.onnx.TensorProto.DataType.BOOL;case\"int16\":return a.onnx.TensorProto.DataType.INT16;case\"uint16\":return a.onnx.TensorProto.DataType.UINT16;case\"int32\":return a.onnx.TensorProto.DataType.INT32;case\"uint32\":return a.onnx.TensorProto.DataType.UINT32;case\"float32\":return a.onnx.TensorProto.DataType.FLOAT;case\"float64\":return a.onnx.TensorProto.DataType.DOUBLE;case\"string\":return a.onnx.TensorProto.DataType.STRING;case\"int64\":return a.onnx.TensorProto.DataType.INT64;case\"uint64\":return a.onnx.TensorProto.DataType.UINT64;default:throw new Error(`unsupported data type: ${t}`)}}static tensorDimsFromProto(t){return t.map((t=>o.default.isLong(t)?t.toNumber():t))}static tensorValueTypeFromProto(t){return{tensorType:l.tensorDataTypeFromProto(t.elemType),shape:{dims:l.tensorDimsFromProto(t.shape.dim.map((t=>t.dimValue)))}}}static tensorDimsFromORTFormat(t){const e=[];for(let n=0;n<t.dimsLength();n++)e.push(p.longToNumber(t.dims(n)));return e}static tensorAttributesFromORTFormat(t){const e=[];for(let n=0;n<t.attributesLength();n++)e.push(t.attributes(n));return e}}e.ProtoUtil=l;class p{static longToNumber(t,e){return o.default.isLong(t)?t.toNumber():t instanceof i.flatbuffers.Long?o.default.fromValue({low:t.low,high:t.high,unsigned:null!=e&&e}).toNumber():t}static isLong(t){return o.default.isLong(t)||t instanceof i.flatbuffers.Long}}e.LongUtil=p;class f{static size(t){return f.getSizeFromDimensionRange(t,0,t.length)}static sizeFromDimension(t,e){if(e<0||e>t.length)throw new Error(`invalid dimension of ${e} for sizeFromDimension as Tensor has ${t.length} dimensions.`);return f.getSizeFromDimensionRange(t,e,t.length)}static sizeToDimension(t,e){if(e<0||e>t.length)throw new Error(`invalid dimension of ${e} for sizeToDimension as Tensor has ${t.length} dimensions.`);return f.getSizeFromDimensionRange(t,0,e)}static getSizeFromDimensionRange(t,e,n){let r=1;for(let i=e;i<n;i++){if(t[i]<=0)throw new Error(\"cannot get valid size from specified dimension range. 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seem to work with the current webpack version and/or configuration.\n * This is possibly due to the experimental nature of top-level await statements.\n * So, we just import both packages, and use the appropriate one based on the environment:\n *   - When running in node, we use `onnxruntime-node`.\n *   - When running in the browser, we use `onnxruntime-web` (`onnxruntime-node` is not bundled).\n * \n * This module is not directly exported, but can be accessed through the environment variables:\n * ```javascript\n * import { env } from '@xenova/transformers';\n * console.log(env.backends.onnx);\n * ```\n * \n * @module backends/onnx\n */\n\n// NOTE: Import order matters here. We need to import `onnxruntime-node` before `onnxruntime-web`.\n// In either case, we select the default export if it exists, otherwise we use the named export.\nimport * as ONNX_NODE from 'onnxruntime-node';\nimport * as ONNX_WEB from 'onnxruntime-web';\n\n/** @type {import('onnxruntime-web')} The ONNX runtime module. */\nexport let ONNX;\n\nexport const executionProviders = [\n    // 'webgpu',\n    'wasm'\n];\n\nif (typeof process !== 'undefined' && process?.release?.name === 'node') {\n    // Running in a node-like environment.\n    ONNX = ONNX_NODE.default ?? ONNX_NODE;\n\n    // Add `cpu` execution provider, with higher precedence that `wasm`.\n    executionProviders.unshift('cpu');\n\n} else {\n    // Running in a browser-environment\n    ONNX = ONNX_WEB.default ?? ONNX_WEB;\n\n    // SIMD for WebAssembly does not operate correctly in some recent versions of iOS (16.4.x).\n    // As a temporary fix, we disable it for now.\n    // For more information, see: https://github.com/microsoft/onnxruntime/issues/15644\n    const isIOS = typeof navigator !== 'undefined' && /iP(hone|od|ad).+16_4.+AppleWebKit/.test(navigator.userAgent);\n    if (isIOS) {\n        ONNX.env.wasm.simd = false;\n    }\n}\n","/**\n * @file Module used to configure Transformers.js.\n * \n * **Example:** Disable remote models.\n * ```javascript\n * import { env } from '@xenova/transformers';\n * env.allowRemoteModels = false;\n * ```\n * \n * **Example:** Set local model path.\n * ```javascript\n * import { env } from '@xenova/transformers';\n * env.localModelPath = '/path/to/local/models/';\n * ```\n * \n * **Example:** Set cache directory.\n * ```javascript\n * import { env } from '@xenova/transformers';\n * env.cacheDir = '/path/to/cache/directory/';\n * ```\n * \n * @module env\n */\n\nimport fs from 'fs';\nimport path from 'path';\nimport url from 'url';\n\nimport { ONNX } from './backends/onnx.js';\nconst { env: onnx_env } = ONNX;\n\nconst VERSION = '2.17.2';\n\n// Check if various APIs are available (depends on environment)\nconst WEB_CACHE_AVAILABLE = typeof self !== 'undefined' && 'caches' in self;\nconst FS_AVAILABLE = !isEmpty(fs); // check if file system is available\nconst PATH_AVAILABLE = !isEmpty(path); // check if path is available\n\nconst RUNNING_LOCALLY = FS_AVAILABLE && PATH_AVAILABLE;\n\nconst __dirname = RUNNING_LOCALLY\n    ? path.dirname(path.dirname(url.fileURLToPath(import.meta.url)))\n    : './';\n\n// Only used for environments with access to file system\nconst DEFAULT_CACHE_DIR = RUNNING_LOCALLY\n    ? path.join(__dirname, '/.cache/')\n    : null;\n\n// Set local model path, based on available APIs\nconst DEFAULT_LOCAL_MODEL_PATH = '/models/';\nconst localModelPath = RUNNING_LOCALLY\n    ? path.join(__dirname, DEFAULT_LOCAL_MODEL_PATH)\n    : DEFAULT_LOCAL_MODEL_PATH;\n\nif (onnx_env?.wasm) {\n    // Set path to wasm files. This is needed when running in a web worker.\n    // https://onnxruntime.ai/docs/api/js/interfaces/Env.WebAssemblyFlags.html#wasmPaths\n    // We use remote wasm files by default to make it easier for newer users.\n    // In practice, users should probably self-host the necessary .wasm files.\n    onnx_env.wasm.wasmPaths = RUNNING_LOCALLY\n        ? path.join(__dirname, '/dist/')\n        : `https://cdn.jsdelivr.net/npm/@xenova/transformers@${VERSION}/dist/`;\n}\n\n/**\n * Global variable used to control execution. This provides users a simple way to configure Transformers.js.\n * @property {Object} backends Expose environment variables of different backends,\n * allowing users to set these variables if they want to.\n * @property {string} __dirname Directory name of module. Useful for resolving local paths.\n * @property {string} version This version of Transformers.js.\n * @property {boolean} allowRemoteModels Whether to allow loading of remote files, defaults to `true`.\n * If set to `false`, it will have the same effect as setting `local_files_only=true` when loading pipelines, models, tokenizers, processors, etc.\n * @property {string} remoteHost Host URL to load models from. Defaults to the Hugging Face Hub.\n * @property {string} remotePathTemplate Path template to fill in and append to `remoteHost` when loading models.\n * @property {boolean} allowLocalModels Whether to allow loading of local files, defaults to `true`.\n * If set to `false`, it will skip the local file check and try to load the model from the remote host.\n * @property {string} localModelPath Path to load local models from. Defaults to `/models/`.\n * @property {boolean} useFS Whether to use the file system to load files. By default, it is `true` if available.\n * @property {boolean} useBrowserCache Whether to use Cache API to cache models. By default, it is `true` if available.\n * @property {boolean} useFSCache Whether to use the file system to cache files. By default, it is `true` if available.\n * @property {string} cacheDir The directory to use for caching files with the file system. By default, it is `./.cache`.\n * @property {boolean} useCustomCache Whether to use a custom cache system (defined by `customCache`), defaults to `false`.\n * @property {Object} customCache The custom cache to use. Defaults to `null`. Note: this must be an object which\n * implements the `match` and `put` functions of the Web Cache API. For more information, see https://developer.mozilla.org/en-US/docs/Web/API/Cache\n */\nexport const env = {\n    /////////////////// Backends settings ///////////////////\n    backends: {\n        // onnxruntime-web/onnxruntime-node\n        onnx: onnx_env,\n\n        // TensorFlow.js\n        tfjs: {},\n    },\n\n    __dirname,\n    version: VERSION,\n\n    /////////////////// Model settings ///////////////////\n    allowRemoteModels: true,\n    remoteHost: 'https://huggingface.co/',\n    remotePathTemplate: '{model}/resolve/{revision}/',\n\n    allowLocalModels: true,\n    localModelPath: localModelPath,\n    useFS: FS_AVAILABLE,\n\n    /////////////////// Cache settings ///////////////////\n    useBrowserCache: WEB_CACHE_AVAILABLE,\n\n    useFSCache: FS_AVAILABLE,\n    cacheDir: DEFAULT_CACHE_DIR,\n\n    useCustomCache: false,\n    customCache: null,\n    //////////////////////////////////////////////////////\n}\n\n\n/**\n * @param {Object} obj\n * @private\n */\nfunction isEmpty(obj) {\n    return Object.keys(obj).length === 0;\n}\n\n","\n/**\n * @file Utility functions to interact with the Hugging Face Hub (https://huggingface.co/models)\n * \n * @module utils/hub\n */\n\nimport fs from 'fs';\nimport path from 'path';\n\nimport { env } from '../env.js';\nimport { dispatchCallback } from './core.js';\n\n/**\n * @typedef {Object} PretrainedOptions Options for loading a pretrained model.     \n * @property {boolean?} [quantized=true] Whether to load the 8-bit quantized version of the model (only applicable when loading model files).\n * @property {function} [progress_callback=null] If specified, this function will be called during model construction, to provide the user with progress updates.\n * @property {Object} [config=null] Configuration for the model to use instead of an automatically loaded configuration. Configuration can be automatically loaded when:\n * - The model is a model provided by the library (loaded with the *model id* string of a pretrained model).\n * - The model is loaded by supplying a local directory as `pretrained_model_name_or_path` and a configuration JSON file named *config.json* is found in the directory.\n * @property {string} [cache_dir=null] Path to a directory in which a downloaded pretrained model configuration should be cached if the standard cache should not be used.\n * @property {boolean} [local_files_only=false] Whether or not to only look at local files (e.g., not try downloading the model).\n * @property {string} [revision='main'] The specific model version to use. It can be a branch name, a tag name, or a commit id,\n * since we use a git-based system for storing models and other artifacts on huggingface.co, so `revision` can be any identifier allowed by git.\n * NOTE: This setting is ignored for local requests.\n * @property {string} [model_file_name=null] If specified, load the model with this name (excluding the .onnx suffix). Currently only valid for encoder- or decoder-only models.\n */\n\nclass FileResponse {\n    /**\n     * Mapping from file extensions to MIME types.\n     */\n    _CONTENT_TYPE_MAP = {\n        'txt': 'text/plain',\n        'html': 'text/html',\n        'css': 'text/css',\n        'js': 'text/javascript',\n        'json': 'application/json',\n        'png': 'image/png',\n        'jpg': 'image/jpeg',\n        'jpeg': 'image/jpeg',\n        'gif': 'image/gif',\n    }\n    /**\n     * Creates a new `FileResponse` object.\n     * @param {string|URL} filePath\n     */\n    constructor(filePath) {\n        this.filePath = filePath;\n        this.headers = new Headers();\n\n        this.exists = fs.existsSync(filePath);\n        if (this.exists) {\n            this.status = 200;\n            this.statusText = 'OK';\n\n            let stats = fs.statSync(filePath);\n            this.headers.set('content-length', stats.size.toString());\n\n            this.updateContentType();\n\n            let self = this;\n            this.body = new ReadableStream({\n                start(controller) {\n                    self.arrayBuffer().then(buffer => {\n                        controller.enqueue(new Uint8Array(buffer));\n                        controller.close();\n                    })\n                }\n            });\n        } else {\n            this.status = 404;\n            this.statusText = 'Not Found';\n            this.body = null;\n        }\n    }\n\n    /**\n     * Updates the 'content-type' header property of the response based on the extension of\n     * the file specified by the filePath property of the current object.\n     * @returns {void}\n     */\n    updateContentType() {\n        // Set content-type header based on file extension\n        const extension = this.filePath.toString().split('.').pop().toLowerCase();\n        this.headers.set('content-type', this._CONTENT_TYPE_MAP[extension] ?? 'application/octet-stream');\n    }\n\n    /**\n     * Clone the current FileResponse object.\n     * @returns {FileResponse} A new FileResponse object with the same properties as the current object.\n     */\n    clone() {\n        let response = new FileResponse(this.filePath);\n        response.exists = this.exists;\n        response.status = this.status;\n        response.statusText = this.statusText;\n        response.headers = new Headers(this.headers);\n        return response;\n    }\n\n    /**\n     * Reads the contents of the file specified by the filePath property and returns a Promise that\n     * resolves with an ArrayBuffer containing the file's contents.\n     * @returns {Promise<ArrayBuffer>} A Promise that resolves with an ArrayBuffer containing the file's contents.\n     * @throws {Error} If the file cannot be read.\n     */\n    async arrayBuffer() {\n        const data = await fs.promises.readFile(this.filePath);\n        return data.buffer;\n    }\n\n    /**\n     * Reads the contents of the file specified by the filePath property and returns a Promise that\n     * resolves with a Blob containing the file's contents.\n     * @returns {Promise<Blob>} A Promise that resolves with a Blob containing the file's contents.\n     * @throws {Error} If the file cannot be read.\n     */\n    async blob() {\n        const data = await fs.promises.readFile(this.filePath);\n        return new Blob([data], { type: this.headers.get('content-type') });\n    }\n\n    /**\n     * Reads the contents of the file specified by the filePath property and returns a Promise that\n     * resolves with a string containing the file's contents.\n     * @returns {Promise<string>} A Promise that resolves with a string containing the file's contents.\n     * @throws {Error} If the file cannot be read.\n     */\n    async text() {\n        const data = await fs.promises.readFile(this.filePath, 'utf8');\n        return data;\n    }\n\n    /**\n     * Reads the contents of the file specified by the filePath property and returns a Promise that\n     * resolves with a parsed JavaScript object containing the file's contents.\n     * \n     * @returns {Promise<Object>} A Promise that resolves with a parsed JavaScript object containing the file's contents.\n     * @throws {Error} If the file cannot be read.\n     */\n    async json() {\n        return JSON.parse(await this.text());\n    }\n}\n\n/**\n * Determines whether the given string is a valid URL.\n * @param {string|URL} string The string to test for validity as an URL.\n * @param {string[]} [protocols=null] A list of valid protocols. If specified, the protocol must be in this list.\n * @param {string[]} [validHosts=null] A list of valid hostnames. If specified, the URL's hostname must be in this list.\n * @returns {boolean} True if the string is a valid URL, false otherwise.\n */\nfunction isValidUrl(string, protocols = null, validHosts = null) {\n    let url;\n    try {\n        url = new URL(string);\n    } catch (_) {\n        return false;\n    }\n    if (protocols && !protocols.includes(url.protocol)) {\n        return false;\n    }\n    if (validHosts && !validHosts.includes(url.hostname)) {\n        return false;\n    }\n    return true;\n}\n\n/**\n * Helper function to get a file, using either the Fetch API or FileSystem API.\n *\n * @param {URL|string} urlOrPath The URL/path of the file to get.\n * @returns {Promise<FileResponse|Response>} A promise that resolves to a FileResponse object (if the file is retrieved using the FileSystem API), or a Response object (if the file is retrieved using the Fetch API).\n */\nexport async function getFile(urlOrPath) {\n\n    if (env.useFS && !isValidUrl(urlOrPath, ['http:', 'https:', 'blob:'])) {\n        return new FileResponse(urlOrPath);\n\n    } else if (typeof process !== 'undefined' && process?.release?.name === 'node') {\n        const IS_CI = !!process.env?.TESTING_REMOTELY;\n        const version = env.version;\n\n        const headers = new Headers();\n        headers.set('User-Agent', `transformers.js/${version}; is_ci/${IS_CI};`);\n\n        // Check whether we are making a request to the Hugging Face Hub.\n        const isHFURL = isValidUrl(urlOrPath, ['http:', 'https:'], ['huggingface.co', 'hf.co']);\n        if (isHFURL) {\n            // If an access token is present in the environment variables,\n            // we add it to the request headers.\n            // NOTE: We keep `HF_ACCESS_TOKEN` for backwards compatibility (as a fallback).\n            const token = process.env?.HF_TOKEN ?? process.env?.HF_ACCESS_TOKEN;\n            if (token) {\n                headers.set('Authorization', `Bearer ${token}`);\n            }\n        }\n        return fetch(urlOrPath, { headers });\n    } else {\n        // Running in a browser-environment, so we use default headers\n        // NOTE: We do not allow passing authorization headers in the browser,\n        // since this would require exposing the token to the client.\n        return fetch(urlOrPath);\n    }\n}\n\nconst ERROR_MAPPING = {\n    // 4xx errors (https://developer.mozilla.org/en-US/docs/Web/HTTP/Status#client_error_responses)\n    400: 'Bad request error occurred while trying to load file',\n    401: 'Unauthorized access to file',\n    403: 'Forbidden access to file',\n    404: 'Could not locate file',\n    408: 'Request timeout error occurred while trying to load file',\n\n    // 5xx errors (https://developer.mozilla.org/en-US/docs/Web/HTTP/Status#server_error_responses)\n    500: 'Internal server error error occurred while trying to load file',\n    502: 'Bad gateway error occurred while trying to load file',\n    503: 'Service unavailable error occurred while trying to load file',\n    504: 'Gateway timeout error occurred while trying to load file',\n}\n/**\n * Helper method to handle fatal errors that occur while trying to load a file from the Hugging Face Hub.\n * @param {number} status The HTTP status code of the error.\n * @param {string} remoteURL The URL of the file that could not be loaded.\n * @param {boolean} fatal Whether to raise an error if the file could not be loaded.\n * @returns {null} Returns `null` if `fatal = true`.\n * @throws {Error} If `fatal = false`.\n */\nfunction handleError(status, remoteURL, fatal) {\n    if (!fatal) {\n        // File was not loaded correctly, but it is optional.\n        // TODO in future, cache the response?\n        return null;\n    }\n\n    const message = ERROR_MAPPING[status] ?? `Error (${status}) occurred while trying to load file`;\n    throw Error(`${message}: \"${remoteURL}\".`);\n}\n\nclass FileCache {\n    /**\n     * Instantiate a `FileCache` object.\n     * @param {string} path \n     */\n    constructor(path) {\n        this.path = path;\n    }\n\n    /**\n     * Checks whether the given request is in the cache.\n     * @param {string} request \n     * @returns {Promise<FileResponse | undefined>}\n     */\n    async match(request) {\n\n        let filePath = path.join(this.path, request);\n        let file = new FileResponse(filePath);\n\n        if (file.exists) {\n            return file;\n        } else {\n            return undefined;\n        }\n    }\n\n    /**\n     * Adds the given response to the cache.\n     * @param {string} request \n     * @param {Response|FileResponse} response \n     * @returns {Promise<void>}\n     */\n    async put(request, response) {\n        const buffer = Buffer.from(await response.arrayBuffer());\n\n        let outputPath = path.join(this.path, request);\n\n        try {\n            await fs.promises.mkdir(path.dirname(outputPath), { recursive: true });\n            await fs.promises.writeFile(outputPath, buffer);\n\n        } catch (err) {\n            console.warn('An error occurred while writing the file to cache:', err)\n        }\n    }\n\n    // TODO add the rest?\n    // addAll(requests: RequestInfo[]): Promise<void>;\n    // delete(request: RequestInfo | URL, options?: CacheQueryOptions): Promise<boolean>;\n    // keys(request?: RequestInfo | URL, options?: CacheQueryOptions): Promise<ReadonlyArray<Request>>;\n    // match(request: RequestInfo | URL, options?: CacheQueryOptions): Promise<Response | undefined>;\n    // matchAll(request?: RequestInfo | URL, options?: CacheQueryOptions): Promise<ReadonlyArray<Response>>;\n}\n\n/**\n * \n * @param {FileCache|Cache} cache The cache to search\n * @param {string[]} names The names of the item to search for\n * @returns {Promise<FileResponse|Response|undefined>} The item from the cache, or undefined if not found.\n */\nasync function tryCache(cache, ...names) {\n    for (let name of names) {\n        try {\n            let result = await cache.match(name);\n            if (result) return result;\n        } catch (e) {\n            continue;\n        }\n    }\n    return undefined;\n}\n\n/**\n * \n * Retrieves a file from either a remote URL using the Fetch API or from the local file system using the FileSystem API.\n * If the filesystem is available and `env.useCache = true`, the file will be downloaded and cached.\n * \n * @param {string} path_or_repo_id This can be either:\n * - a string, the *model id* of a model repo on huggingface.co.\n * - a path to a *directory* potentially containing the file.\n * @param {string} filename The name of the file to locate in `path_or_repo`.\n * @param {boolean} [fatal=true] Whether to throw an error if the file is not found.\n * @param {PretrainedOptions} [options] An object containing optional parameters.\n * \n * @throws Will throw an error if the file is not found and `fatal` is true.\n * @returns {Promise} A Promise that resolves with the file content as a buffer.\n */\nexport async function getModelFile(path_or_repo_id, filename, fatal = true, options = {}) {\n\n    if (!env.allowLocalModels) {\n        // User has disabled local models, so we just make sure other settings are correct.\n\n        if (options.local_files_only) {\n            throw Error(\"Invalid configuration detected: local models are disabled (`env.allowLocalModels=false`) but you have requested to only use local models (`local_files_only=true`).\")\n        } else if (!env.allowRemoteModels) {\n            throw Error(\"Invalid configuration detected: both local and remote models are disabled. Fix by setting `env.allowLocalModels` or `env.allowRemoteModels` to `true`.\")\n        }\n    }\n\n    // Initiate file retrieval\n    dispatchCallback(options.progress_callback, {\n        status: 'initiate',\n        name: path_or_repo_id,\n        file: filename\n    })\n\n    // First, check if the a caching backend is available\n    // If no caching mechanism available, will download the file every time\n    let cache;\n    if (!cache && env.useBrowserCache) {\n        if (typeof caches === 'undefined') {\n            throw Error('Browser cache is not available in this environment.')\n        }\n        try {\n            // In some cases, the browser cache may be visible, but not accessible due to security restrictions.\n            // For example, when running an application in an iframe, if a user attempts to load the page in\n            // incognito mode, the following error is thrown: `DOMException: Failed to execute 'open' on 'CacheStorage':\n            // An attempt was made to break through the security policy of the user agent.`\n            // So, instead of crashing, we just ignore the error and continue without using the cache.\n            cache = await caches.open('transformers-cache');\n        } catch (e) {\n            console.warn('An error occurred while opening the browser cache:', e);\n        }\n    }\n\n    if (!cache && env.useFSCache) {\n        // TODO throw error if not available\n\n        // If `cache_dir` is not specified, use the default cache directory\n        cache = new FileCache(options.cache_dir ?? env.cacheDir);\n    }\n\n    if (!cache && env.useCustomCache) {\n        // Allow the user to specify a custom cache system.\n        if (!env.customCache) {\n            throw Error('`env.useCustomCache=true`, but `env.customCache` is not defined.')\n        }\n\n        // Check that the required methods are defined:\n        if (!env.customCache.match || !env.customCache.put) {\n            throw new Error(\n                \"`env.customCache` must be an object which implements the `match` and `put` functions of the Web Cache API. \" +\n                \"For more information, see https://developer.mozilla.org/en-US/docs/Web/API/Cache\"\n            )\n        }\n        cache = env.customCache;\n    }\n\n    const revision = options.revision ?? 'main';\n\n    let requestURL = pathJoin(path_or_repo_id, filename);\n    let localPath = pathJoin(env.localModelPath, requestURL);\n\n    let remoteURL = pathJoin(\n        env.remoteHost,\n        env.remotePathTemplate\n            .replaceAll('{model}', path_or_repo_id)\n            .replaceAll('{revision}', encodeURIComponent(revision)),\n        filename\n    );\n\n    // Choose cache key for filesystem cache\n    // When using the main revision (default), we use the request URL as the cache key.\n    // If a specific revision is requested, we account for this in the cache key.\n    let fsCacheKey = revision === 'main' ? requestURL : pathJoin(path_or_repo_id, revision, filename);\n\n    /** @type {string} */\n    let cacheKey;\n    let proposedCacheKey = cache instanceof FileCache ? fsCacheKey : remoteURL;\n\n    // Whether to cache the final response in the end.\n    let toCacheResponse = false;\n\n    /** @type {Response|FileResponse|undefined} */\n    let response;\n\n    if (cache) {\n        // A caching system is available, so we try to get the file from it.\n        //  1. We first try to get from cache using the local path. In some environments (like deno),\n        //     non-URL cache keys are not allowed. In these cases, `response` will be undefined.\n        //  2. If no response is found, we try to get from cache using the remote URL or file system cache.\n        response = await tryCache(cache, localPath, proposedCacheKey);\n    }\n\n    const cacheHit = response !== undefined;\n\n    if (response === undefined) {\n        // Caching not available, or file is not cached, so we perform the request\n\n        if (env.allowLocalModels) {\n            // Accessing local models is enabled, so we try to get the file locally.\n            // If request is a valid HTTP URL, we skip the local file check. Otherwise, we try to get the file locally.\n            const isURL = isValidUrl(requestURL, ['http:', 'https:']);\n            if (!isURL) {\n                try {\n                    response = await getFile(localPath);\n                    cacheKey = localPath; // Update the cache key to be the local path\n                } catch (e) {\n                    // Something went wrong while trying to get the file locally.\n                    // NOTE: error handling is done in the next step (since `response` will be undefined)\n                    console.warn(`Unable to load from local path \"${localPath}\": \"${e}\"`);\n                }\n            } else if (options.local_files_only) {\n                throw new Error(`\\`local_files_only=true\\`, but attempted to load a remote file from: ${requestURL}.`);\n            } else if (!env.allowRemoteModels) {\n                throw new Error(`\\`env.allowRemoteModels=false\\`, but attempted to load a remote file from: ${requestURL}.`);\n            }\n        }\n\n        if (response === undefined || response.status === 404) {\n            // File not found locally. This means either:\n            // - The user has disabled local file access (`env.allowLocalModels=false`)\n            // - the path is a valid HTTP url (`response === undefined`)\n            // - the path is not a valid HTTP url and the file is not present on the file system or local server (`response.status === 404`)\n\n            if (options.local_files_only || !env.allowRemoteModels) {\n                // User requested local files only, but the file is not found locally.\n                if (fatal) {\n                    throw Error(`\\`local_files_only=true\\` or \\`env.allowRemoteModels=false\\` and file was not found locally at \"${localPath}\".`);\n                } else {\n                    // File not found, but this file is optional.\n                    // TODO in future, cache the response?\n                    return null;\n                }\n            }\n\n            // File not found locally, so we try to download it from the remote server\n            response = await getFile(remoteURL);\n\n            if (response.status !== 200) {\n                return handleError(response.status, remoteURL, fatal);\n            }\n\n            // Success! We use the proposed cache key from earlier\n            cacheKey = proposedCacheKey;\n        }\n\n        // Only cache the response if:\n        toCacheResponse =\n            cache                              // 1. A caching system is available\n            && typeof Response !== 'undefined' // 2. `Response` is defined (i.e., we are in a browser-like environment)\n            && response instanceof Response    // 3. result is a `Response` object (i.e., not a `FileResponse`)\n            && response.status === 200         // 4. request was successful (status code 200)\n    }\n\n    // Start downloading\n    dispatchCallback(options.progress_callback, {\n        status: 'download',\n        name: path_or_repo_id,\n        file: filename\n    })\n\n    const progressInfo = {\n        status: 'progress',\n        name: path_or_repo_id,\n        file: filename\n    }\n\n    /** @type {Uint8Array} */\n    let buffer;\n\n    if (!options.progress_callback) {\n        // If no progress callback is specified, we can use the `.arrayBuffer()`\n        // method to read the response.\n        buffer = new Uint8Array(await response.arrayBuffer());\n\n    } else if (\n        cacheHit // The item is being read from the cache\n        &&\n        typeof navigator !== 'undefined' && /firefox/i.test(navigator.userAgent) // We are in Firefox\n    ) {\n        // Due to bug in Firefox, we cannot display progress when loading from cache.\n        // Fortunately, since this should be instantaneous, this should not impact users too much.\n        buffer = new Uint8Array(await response.arrayBuffer());\n\n        // For completeness, we still fire the final progress callback\n        dispatchCallback(options.progress_callback, {\n            ...progressInfo,\n            progress: 100,\n            loaded: buffer.length,\n            total: buffer.length,\n        })\n    } else {\n        buffer = await readResponse(response, data => {\n            dispatchCallback(options.progress_callback, {\n                ...progressInfo,\n                ...data,\n            })\n        })\n    }\n\n    if (\n        // Only cache web responses\n        // i.e., do not cache FileResponses (prevents duplication)\n        toCacheResponse && cacheKey\n        &&\n        // Check again whether request is in cache. If not, we add the response to the cache\n        (await cache.match(cacheKey) === undefined)\n    ) {\n        // NOTE: We use `new Response(buffer, ...)` instead of `response.clone()` to handle LFS files\n        await cache.put(cacheKey, new Response(buffer, {\n            headers: response.headers\n        }))\n            .catch(err => {\n                // Do not crash if unable to add to cache (e.g., QuotaExceededError).\n                // Rather, log a warning and proceed with execution.\n                console.warn(`Unable to add response to browser cache: ${err}.`);\n            });\n\n    }\n\n    dispatchCallback(options.progress_callback, {\n        status: 'done',\n        name: path_or_repo_id,\n        file: filename\n    });\n\n    return buffer;\n}\n\n/**\n * Fetches a JSON file from a given path and file name.\n *\n * @param {string} modelPath The path to the directory containing the file.\n * @param {string} fileName The name of the file to fetch.\n * @param {boolean} [fatal=true] Whether to throw an error if the file is not found.\n * @param {PretrainedOptions} [options] An object containing optional parameters.\n * @returns {Promise<Object>} The JSON data parsed into a JavaScript object.\n * @throws Will throw an error if the file is not found and `fatal` is true.\n */\nexport async function getModelJSON(modelPath, fileName, fatal = true, options = {}) {\n    let buffer = await getModelFile(modelPath, fileName, fatal, options);\n    if (buffer === null) {\n        // Return empty object\n        return {}\n    }\n\n    let decoder = new TextDecoder('utf-8');\n    let jsonData = decoder.decode(buffer);\n\n    return JSON.parse(jsonData);\n}\n\n/**\n * Read and track progress when reading a Response object\n *\n * @param {any} response The Response object to read\n * @param {function} progress_callback The function to call with progress updates\n * @returns {Promise<Uint8Array>} A Promise that resolves with the Uint8Array buffer\n */\nasync function readResponse(response, progress_callback) {\n\n    const contentLength = response.headers.get('Content-Length');\n    if (contentLength === null) {\n        console.warn('Unable to determine content-length from response headers. Will expand buffer when needed.')\n    }\n    let total = parseInt(contentLength ?? '0');\n    let buffer = new Uint8Array(total);\n    let loaded = 0;\n\n    const reader = response.body.getReader();\n    async function read() {\n        const { done, value } = await reader.read();\n        if (done) return;\n\n        let newLoaded = loaded + value.length;\n        if (newLoaded > total) {\n            total = newLoaded;\n\n            // Adding the new data will overflow buffer.\n            // In this case, we extend the buffer\n            let newBuffer = new Uint8Array(total);\n\n            // copy contents\n            newBuffer.set(buffer);\n\n            buffer = newBuffer;\n        }\n        buffer.set(value, loaded)\n        loaded = newLoaded;\n\n        const progress = (loaded / total) * 100;\n\n        // Call your function here\n        progress_callback({\n            progress: progress,\n            loaded: loaded,\n            total: total,\n        })\n\n        return read();\n    }\n\n    // Actually read\n    await read();\n\n    return buffer;\n}\n\n/**\n * Joins multiple parts of a path into a single path, while handling leading and trailing slashes.\n *\n * @param {...string} parts Multiple parts of a path.\n * @returns {string} A string representing the joined path.\n */\nfunction pathJoin(...parts) {\n    // https://stackoverflow.com/a/55142565\n    parts = parts.map((part, index) => {\n        if (index) {\n            part = part.replace(new RegExp('^/'), '');\n        }\n        if (index !== parts.length - 1) {\n            part = part.replace(new RegExp('/$'), '');\n        }\n        return part;\n    })\n    return parts.join('/');\n}\n","\n/**\n * @file Helper module for mathematical processing. \n * \n * These functions and classes are only used internally, \n * meaning an end-user shouldn't need to access anything here.\n * \n * @module utils/maths\n */\n\n/**\n * @typedef {Int8Array | Uint8Array | Uint8ClampedArray | Int16Array | Uint16Array | Int32Array | Uint32Array | Float32Array | Float64Array} TypedArray\n * @typedef {BigInt64Array | BigUint64Array} BigTypedArray\n * @typedef {TypedArray | BigTypedArray} AnyTypedArray\n */\n\n/**\n * @param {TypedArray} input\n */\nexport function interpolate_data(input, [in_channels, in_height, in_width], [out_height, out_width], mode = 'bilinear', align_corners = false) {\n    // TODO use mode and align_corners\n\n    // Output image dimensions\n    const x_scale = out_width / in_width;\n    const y_scale = out_height / in_height;\n\n    // Output image\n    // @ts-ignore\n    const out_img = new input.constructor(out_height * out_width * in_channels);\n\n    // Pre-calculate strides\n    const inStride = in_height * in_width;\n    const outStride = out_height * out_width;\n\n    for (let i = 0; i < out_height; ++i) {\n        for (let j = 0; j < out_width; ++j) {\n            // Calculate output offset\n            const outOffset = i * out_width + j;\n\n            // Calculate input pixel coordinates\n            const x = (j + 0.5) / x_scale - 0.5;\n            const y = (i + 0.5) / y_scale - 0.5;\n\n            // Calculate the four nearest input pixels\n            // We also check if the input pixel coordinates are within the image bounds\n            let x1 = Math.floor(x);\n            let y1 = Math.floor(y);\n            const x2 = Math.min(x1 + 1, in_width - 1);\n            const y2 = Math.min(y1 + 1, in_height - 1);\n\n            x1 = Math.max(x1, 0);\n            y1 = Math.max(y1, 0);\n\n\n            // Calculate the fractional distances between the input pixel and the four nearest pixels\n            const s = x - x1;\n            const t = y - y1;\n\n            // Perform bilinear interpolation\n            const w1 = (1 - s) * (1 - t);\n            const w2 = s * (1 - t);\n            const w3 = (1 - s) * t;\n            const w4 = s * t;\n\n            // Calculate the four nearest input pixel indices\n            const yStride = y1 * in_width;\n            const xStride = y2 * in_width;\n            const idx1 = yStride + x1;\n            const idx2 = yStride + x2;\n            const idx3 = xStride + x1;\n            const idx4 = xStride + x2;\n\n            for (let k = 0; k < in_channels; ++k) {\n                // Calculate channel offset\n                const cOffset = k * inStride;\n\n                out_img[k * outStride + outOffset] =\n                    w1 * input[cOffset + idx1] +\n                    w2 * input[cOffset + idx2] +\n                    w3 * input[cOffset + idx3] +\n                    w4 * input[cOffset + idx4];\n            }\n        }\n    }\n\n    return out_img;\n}\n\n\n/**\n * Helper method to permute a `AnyTypedArray` directly\n * @template {AnyTypedArray} T \n * @param {T} array \n * @param {number[]} dims \n * @param {number[]} axes \n * @returns {[T, number[]]} The permuted array and the new shape.\n */\nexport function permute_data(array, dims, axes) {\n    // Calculate the new shape of the permuted array\n    // and the stride of the original array\n    const shape = new Array(axes.length);\n    const stride = new Array(axes.length);\n\n    for (let i = axes.length - 1, s = 1; i >= 0; --i) {\n        stride[i] = s;\n        shape[i] = dims[axes[i]];\n        s *= shape[i];\n    }\n\n    // Precompute inverse mapping of stride\n    const invStride = axes.map((_, i) => stride[axes.indexOf(i)]);\n\n    // Create the permuted array with the new shape\n    // @ts-ignore\n    const permutedData = new array.constructor(array.length);\n\n    // Permute the original array to the new array\n    for (let i = 0; i < array.length; ++i) {\n        let newIndex = 0;\n        for (let j = dims.length - 1, k = i; j >= 0; --j) {\n            newIndex += (k % dims[j]) * invStride[j];\n            k = Math.floor(k / dims[j]);\n        }\n        permutedData[newIndex] = array[i];\n    }\n\n    return [permutedData, shape];\n}\n\n\n/**\n * Compute the softmax of an array of numbers.\n * @template {TypedArray|number[]} T\n * @param {T} arr The array of numbers to compute the softmax of.\n * @returns {T} The softmax array.\n */\nexport function softmax(arr) {\n    // Compute the maximum value in the array\n    const maxVal = max(arr)[0];\n\n    // Compute the exponentials of the array values\n    const exps = arr.map(x => Math.exp(x - maxVal));\n\n    // Compute the sum of the exponentials\n    // @ts-ignore\n    const sumExps = exps.reduce((acc, val) => acc + val, 0);\n\n    // Compute the softmax values\n    const softmaxArr = exps.map(x => x / sumExps);\n\n    return /** @type {T} */(softmaxArr);\n}\n\n/**\n * Calculates the logarithm of the softmax function for the input array.\n * @template {TypedArray|number[]} T\n * @param {T} arr The input array to calculate the log_softmax function for.\n * @returns {T} The resulting log_softmax array.\n */\nexport function log_softmax(arr) {\n    // Compute the softmax values\n    const softmaxArr = softmax(arr);\n\n    // Apply log formula to each element\n    const logSoftmaxArr = softmaxArr.map(x => Math.log(x));\n\n    return /** @type {T} */(logSoftmaxArr);\n}\n\n/**\n * Calculates the dot product of two arrays.\n * @param {number[]} arr1 The first array.\n * @param {number[]} arr2 The second array.\n * @returns {number} The dot product of arr1 and arr2.\n */\nexport function dot(arr1, arr2) {\n    let result = 0;\n    for (let i = 0; i < arr1.length; ++i) {\n        result += arr1[i] * arr2[i];\n    }\n    return result;\n}\n\n\n/**\n * Get the top k items from an iterable, sorted by descending order\n * @param {any[]|TypedArray} items The items to be sorted\n * @param {number|null} [top_k=0] The number of top items to return (default: 0 = return all)\n * @returns {[number, any][]} The top k items, sorted by descending order\n */\nexport function getTopItems(items, top_k = 0) {\n    // if top == 0, return all\n\n    items = Array.from(items)\n        .map((x, i) => [i, x])            // Get indices ([index, score])\n        .sort((a, b) => b[1] - a[1])      // Sort by log probabilities\n\n    if (top_k !== null && top_k > 0) {\n        items = items.slice(0, top_k);    // Get top k items\n    }\n\n    return items\n}\n\n/**\n * Computes the cosine similarity between two arrays.\n *\n * @param {number[]} arr1 The first array.\n * @param {number[]} arr2 The second array.\n * @returns {number} The cosine similarity between the two arrays.\n */\nexport function cos_sim(arr1, arr2) {\n    // Calculate dot product of the two arrays\n    const dotProduct = dot(arr1, arr2);\n\n    // Calculate the magnitude of the first array\n    const magnitudeA = magnitude(arr1);\n\n    // Calculate the magnitude of the second array\n    const magnitudeB = magnitude(arr2);\n\n    // Calculate the cosine similarity\n    const cosineSimilarity = dotProduct / (magnitudeA * magnitudeB);\n\n    return cosineSimilarity;\n}\n\n/**\n * Calculates the magnitude of a given array.\n * @param {number[]} arr The array to calculate the magnitude of.\n * @returns {number} The magnitude of the array.\n */\nexport function magnitude(arr) {\n    return Math.sqrt(arr.reduce((acc, val) => acc + val * val, 0));\n}\n\n\n/**\n * Returns the value and index of the minimum element in an array.\n * @param {number[]|TypedArray} arr array of numbers.\n * @returns {number[]} the value and index of the minimum element, of the form: [valueOfMin, indexOfMin]\n * @throws {Error} If array is empty.\n */\nexport function min(arr) {\n    if (arr.length === 0) throw Error('Array must not be empty');\n    let min = arr[0];\n    let indexOfMin = 0;\n    for (let i = 1; i < arr.length; ++i) {\n        if (arr[i] < min) {\n            min = arr[i];\n            indexOfMin = i;\n        }\n    }\n    return [min, indexOfMin];\n}\n\n\n/**\n * Returns the value and index of the maximum element in an array.\n * @param {number[]|AnyTypedArray} arr array of numbers.\n * @returns {[number, number]} the value and index of the maximum element, of the form: [valueOfMax, indexOfMax]\n * @throws {Error} If array is empty.\n */\nexport function max(arr) {\n    if (arr.length === 0) throw Error('Array must not be empty');\n    let max = arr[0];\n    let indexOfMax = 0;\n    for (let i = 1; i < arr.length; ++i) {\n        if (arr[i] > max) {\n            max = arr[i];\n            indexOfMax = i;\n        }\n    }\n    return [Number(max), indexOfMax];\n}\n\nfunction isPowerOfTwo(number) {\n    // Check if the number is greater than 0 and has only one bit set to 1\n    return (number > 0) && ((number & (number - 1)) === 0);\n}\n\n/**\n * Implementation of Radix-4 FFT.\n * \n * P2FFT class provides functionality for performing Fast Fourier Transform on arrays\n * which are a power of two in length.\n * Code adapted from https://www.npmjs.com/package/fft.js\n */\nclass P2FFT {\n    /**\n     * @param {number} size The size of the input array. Must be a power of two larger than 1.\n     * @throws {Error} FFT size must be a power of two larger than 1.\n     */\n    constructor(size) {\n        this.size = size | 0; // convert to a 32-bit signed integer\n        if (this.size <= 1 || !isPowerOfTwo(this.size))\n            throw new Error('FFT size must be a power of two larger than 1');\n\n        this._csize = size << 1;\n\n        this.table = new Float64Array(this.size * 2);\n        for (let i = 0; i < this.table.length; i += 2) {\n            const angle = Math.PI * i / this.size;\n            this.table[i] = Math.cos(angle);\n            this.table[i + 1] = -Math.sin(angle);\n        }\n\n        // Find size's power of two\n        let power = 0;\n        for (let t = 1; this.size > t; t <<= 1)\n            ++power;\n\n        // Calculate initial step's width:\n        //   * If we are full radix-4, it is 2x smaller to give inital len=8\n        //   * Otherwise it is the same as `power` to give len=4\n        this._width = power % 2 === 0 ? power - 1 : power;\n\n        // Pre-compute bit-reversal patterns\n        this._bitrev = new Int32Array(1 << this._width);\n        for (let j = 0; j < this._bitrev.length; ++j) {\n            this._bitrev[j] = 0;\n            for (let shift = 0; shift < this._width; shift += 2) {\n                const revShift = this._width - shift - 2;\n                this._bitrev[j] |= ((j >>> shift) & 3) << revShift;\n            }\n        }\n    }\n\n    /**\n     * Create a complex number array with size `2 * size`\n     *\n     * @returns {Float64Array} A complex number array with size `2 * size`\n     */\n    createComplexArray() {\n        return new Float64Array(this._csize);\n    }\n\n    /**\n     * Converts a complex number representation stored in a Float64Array to an array of real numbers.\n     * \n     * @param {Float64Array} complex The complex number representation to be converted.\n     * @param {number[]} [storage] An optional array to store the result in.\n     * @returns {number[]} An array of real numbers representing the input complex number representation.\n     */\n    fromComplexArray(complex, storage) {\n        const res = storage || new Array(complex.length >>> 1);\n        for (let i = 0; i < complex.length; i += 2)\n            res[i >>> 1] = complex[i];\n        return res;\n    }\n\n    /**\n     * Convert a real-valued input array to a complex-valued output array.\n     * @param {Float64Array} input The real-valued input array.\n     * @param {Float64Array} [storage] Optional buffer to store the output array.\n     * @returns {Float64Array} The complex-valued output array.\n     */\n    toComplexArray(input, storage) {\n        const res = storage || this.createComplexArray();\n        for (let i = 0; i < res.length; i += 2) {\n            res[i] = input[i >>> 1];\n            res[i + 1] = 0;\n        }\n        return res;\n    }\n\n    /**\n     * Performs a Fast Fourier Transform (FFT) on the given input data and stores the result in the output buffer.\n     * \n     * @param {Float64Array} out The output buffer to store the result.\n     * @param {Float64Array} data The input data to transform.\n     * \n     * @throws {Error} Input and output buffers must be different.\n     * \n     * @returns {void}\n     */\n    transform(out, data) {\n        if (out === data)\n            throw new Error('Input and output buffers must be different');\n\n        this._transform4(out, data, 1 /* DONE */);\n    }\n\n    /**\n     * Performs a real-valued forward FFT on the given input buffer and stores the result in the given output buffer.\n     * The input buffer must contain real values only, while the output buffer will contain complex values. The input and\n     * output buffers must be different.\n     *\n     * @param {Float64Array} out The output buffer.\n     * @param {Float64Array} data The input buffer containing real values.\n     *\n     * @throws {Error} If the input and output buffers are the same.\n     */\n    realTransform(out, data) {\n        if (out === data)\n            throw new Error('Input and output buffers must be different');\n\n        this._realTransform4(out, data, 1 /* DONE */);\n    }\n\n    /**\n     * Performs an inverse FFT transformation on the given `data` array, and stores the result in `out`.\n     * The `out` array must be a different buffer than the `data` array. The `out` array will contain the\n     * result of the transformation. The `data` array will not be modified.\n     * \n     * @param {Float64Array} out The output buffer for the transformed data.\n     * @param {Float64Array} data The input data to transform.\n     * @throws {Error} If `out` and `data` refer to the same buffer.\n     * @returns {void}\n     */\n    inverseTransform(out, data) {\n        if (out === data)\n            throw new Error('Input and output buffers must be different');\n\n        this._transform4(out, data, -1 /* DONE */);\n        for (let i = 0; i < out.length; ++i)\n            out[i] /= this.size;\n    }\n\n    /**\n     * Performs a radix-4 implementation of a discrete Fourier transform on a given set of data.\n     *\n     * @param {Float64Array} out The output buffer for the transformed data.\n     * @param {Float64Array} data The input buffer of data to be transformed.\n     * @param {number} inv A scaling factor to apply to the transform.\n     * @returns {void}\n     */\n    _transform4(out, data, inv) {\n        // radix-4 implementation\n\n        const size = this._csize;\n\n        // Initial step (permute and transform)\n        const width = this._width;\n        let step = 1 << width;\n        let len = (size / step) << 1;\n\n        let outOff;\n        let t;\n        const bitrev = this._bitrev;\n        if (len === 4) {\n            for (outOff = 0, t = 0; outOff < size; outOff += len, ++t) {\n                const off = bitrev[t];\n                this._singleTransform2(data, out, outOff, off, step);\n            }\n        } else {\n            // len === 8\n            for (outOff = 0, t = 0; outOff < size; outOff += len, ++t) {\n                const off = bitrev[t];\n                this._singleTransform4(data, out, outOff, off, step, inv);\n            }\n        }\n\n        // Loop through steps in decreasing order\n        const table = this.table;\n        for (step >>= 2; step >= 2; step >>= 2) {\n            len = (size / step) << 1;\n            const quarterLen = len >>> 2;\n\n            // Loop through offsets in the data\n            for (outOff = 0; outOff < size; outOff += len) {\n                // Full case\n                const limit = outOff + quarterLen - 1;\n                for (let i = outOff, k = 0; i < limit; i += 2, k += step) {\n                    const A = i;\n                    const B = A + quarterLen;\n                    const C = B + quarterLen;\n                    const D = C + quarterLen;\n\n                    // Original values\n                    const Ar = out[A];\n                    const Ai = out[A + 1];\n                    const Br = out[B];\n                    const Bi = out[B + 1];\n                    const Cr = out[C];\n                    const Ci = out[C + 1];\n                    const Dr = out[D];\n                    const Di = out[D + 1];\n\n                    const tableBr = table[k];\n                    const tableBi = inv * table[k + 1];\n                    const MBr = Br * tableBr - Bi * tableBi;\n                    const MBi = Br * tableBi + Bi * tableBr;\n\n                    const tableCr = table[2 * k];\n                    const tableCi = inv * table[2 * k + 1];\n                    const MCr = Cr * tableCr - Ci * tableCi;\n                    const MCi = Cr * tableCi + Ci * tableCr;\n\n                    const tableDr = table[3 * k];\n                    const tableDi = inv * table[3 * k + 1];\n                    const MDr = Dr * tableDr - Di * tableDi;\n                    const MDi = Dr * tableDi + Di * tableDr;\n\n                    // Pre-Final values\n                    const T0r = Ar + MCr;\n                    const T0i = Ai + MCi;\n                    const T1r = Ar - MCr;\n                    const T1i = Ai - MCi;\n                    const T2r = MBr + MDr;\n                    const T2i = MBi + MDi;\n                    const T3r = inv * (MBr - MDr);\n                    const T3i = inv * (MBi - MDi);\n\n                    // Final values\n                    out[A] = T0r + T2r;\n                    out[A + 1] = T0i + T2i;\n                    out[B] = T1r + T3i;\n                    out[B + 1] = T1i - T3r;\n                    out[C] = T0r - T2r;\n                    out[C + 1] = T0i - T2i;\n                    out[D] = T1r - T3i;\n                    out[D + 1] = T1i + T3r;\n                }\n            }\n        }\n    }\n\n    /**\n     * Performs a radix-2 implementation of a discrete Fourier transform on a given set of data.\n     *\n     * @param {Float64Array} data The input buffer of data to be transformed.\n     * @param {Float64Array} out The output buffer for the transformed data.\n     * @param {number} outOff The offset at which to write the output data.\n     * @param {number} off The offset at which to begin reading the input data.\n     * @param {number} step The step size for indexing the input data.\n     * @returns {void}\n     */\n    _singleTransform2(data, out, outOff, off, step) {\n        // radix-2 implementation\n        // NOTE: Only called for len=4\n\n        const evenR = data[off];\n        const evenI = data[off + 1];\n        const oddR = data[off + step];\n        const oddI = data[off + step + 1];\n\n        out[outOff] = evenR + oddR;\n        out[outOff + 1] = evenI + oddI;\n        out[outOff + 2] = evenR - oddR;\n        out[outOff + 3] = evenI - oddI;\n    }\n\n    /**\n     * Performs radix-4 transformation on input data of length 8\n     *\n     * @param {Float64Array} data Input data array of length 8\n     * @param {Float64Array} out Output data array of length 8\n     * @param {number} outOff Index of output array to start writing from\n     * @param {number} off Index of input array to start reading from\n     * @param {number} step Step size between elements in input array\n     * @param {number} inv Scaling factor for inverse transform\n     * \n     * @returns {void}\n     */\n    _singleTransform4(data, out, outOff, off, step, inv) {\n        // radix-4\n        // NOTE: Only called for len=8\n        const step2 = step * 2;\n        const step3 = step * 3;\n\n        // Original values\n        const Ar = data[off];\n        const Ai = data[off + 1];\n        const Br = data[off + step];\n        const Bi = data[off + step + 1];\n        const Cr = data[off + step2];\n        const Ci = data[off + step2 + 1];\n        const Dr = data[off + step3];\n        const Di = data[off + step3 + 1];\n\n        // Pre-Final values\n        const T0r = Ar + Cr;\n        const T0i = Ai + Ci;\n        const T1r = Ar - Cr;\n        const T1i = Ai - Ci;\n        const T2r = Br + Dr;\n        const T2i = Bi + Di;\n        const T3r = inv * (Br - Dr);\n        const T3i = inv * (Bi - Di);\n\n        // Final values\n        out[outOff] = T0r + T2r;\n        out[outOff + 1] = T0i + T2i;\n        out[outOff + 2] = T1r + T3i;\n        out[outOff + 3] = T1i - T3r;\n        out[outOff + 4] = T0r - T2r;\n        out[outOff + 5] = T0i - T2i;\n        out[outOff + 6] = T1r - T3i;\n        out[outOff + 7] = T1i + T3r;\n    }\n\n    /**\n     * Real input radix-4 implementation\n     * @param {Float64Array} out Output array for the transformed data\n     * @param {Float64Array} data Input array of real data to be transformed\n     * @param {number} inv The scale factor used to normalize the inverse transform\n     */\n    _realTransform4(out, data, inv) {\n        // Real input radix-4 implementation\n        const size = this._csize;\n\n        // Initial step (permute and transform)\n        const width = this._width;\n        let step = 1 << width;\n        let len = (size / step) << 1;\n\n        let outOff;\n        let t;\n        const bitrev = this._bitrev;\n        if (len === 4) {\n            for (outOff = 0, t = 0; outOff < size; outOff += len, ++t) {\n                const off = bitrev[t];\n                this._singleRealTransform2(data, out, outOff, off >>> 1, step >>> 1);\n            }\n        } else {\n            // len === 8\n            for (outOff = 0, t = 0; outOff < size; outOff += len, ++t) {\n                const off = bitrev[t];\n                this._singleRealTransform4(data, out, outOff, off >>> 1, step >>> 1, inv);\n            }\n        }\n\n        // Loop through steps in decreasing order\n        const table = this.table;\n        for (step >>= 2; step >= 2; step >>= 2) {\n            len = (size / step) << 1;\n            const halfLen = len >>> 1;\n            const quarterLen = halfLen >>> 1;\n            const hquarterLen = quarterLen >>> 1;\n\n            // Loop through offsets in the data\n            for (outOff = 0; outOff < size; outOff += len) {\n                for (let i = 0, k = 0; i <= hquarterLen; i += 2, k += step) {\n                    const A = outOff + i;\n                    const B = A + quarterLen;\n                    const C = B + quarterLen;\n                    const D = C + quarterLen;\n\n                    // Original values\n                    const Ar = out[A];\n                    const Ai = out[A + 1];\n                    const Br = out[B];\n                    const Bi = out[B + 1];\n                    const Cr = out[C];\n                    const Ci = out[C + 1];\n                    const Dr = out[D];\n                    const Di = out[D + 1];\n\n                    // Middle values\n                    const MAr = Ar;\n                    const MAi = Ai;\n\n                    const tableBr = table[k];\n                    const tableBi = inv * table[k + 1];\n                    const MBr = Br * tableBr - Bi * tableBi;\n                    const MBi = Br * tableBi + Bi * tableBr;\n\n                    const tableCr = table[2 * k];\n                    const tableCi = inv * table[2 * k + 1];\n                    const MCr = Cr * tableCr - Ci * tableCi;\n                    const MCi = Cr * tableCi + Ci * tableCr;\n\n                    const tableDr = table[3 * k];\n                    const tableDi = inv * table[3 * k + 1];\n                    const MDr = Dr * tableDr - Di * tableDi;\n                    const MDi = Dr * tableDi + Di * tableDr;\n\n                    // Pre-Final values\n                    const T0r = MAr + MCr;\n                    const T0i = MAi + MCi;\n                    const T1r = MAr - MCr;\n                    const T1i = MAi - MCi;\n                    const T2r = MBr + MDr;\n                    const T2i = MBi + MDi;\n                    const T3r = inv * (MBr - MDr);\n                    const T3i = inv * (MBi - MDi);\n\n                    // Final values\n                    out[A] = T0r + T2r;\n                    out[A + 1] = T0i + T2i;\n                    out[B] = T1r + T3i;\n                    out[B + 1] = T1i - T3r;\n\n                    // Output final middle point\n                    if (i === 0) {\n                        out[C] = T0r - T2r;\n                        out[C + 1] = T0i - T2i;\n                        continue;\n                    }\n\n                    // Do not overwrite ourselves\n                    if (i === hquarterLen)\n                        continue;\n\n                    const SA = outOff + quarterLen - i;\n                    const SB = outOff + halfLen - i;\n\n                    out[SA] = T1r - inv * T3i;\n                    out[SA + 1] = -T1i - inv * T3r;\n                    out[SB] = T0r - inv * T2r;\n                    out[SB + 1] = -T0i + inv * T2i;\n                }\n            }\n        }\n\n        // Complete the spectrum by adding its mirrored negative frequency components.\n        const half = size >>> 1;\n        for (let i = 2; i < half; i += 2) {\n            out[size - i] = out[i];\n            out[size - i + 1] = -out[i + 1];\n        }\n    }\n\n    /**\n     * Performs a single real input radix-2 transformation on the provided data\n     * \n     * @param {Float64Array} data The input data array\n     * @param {Float64Array} out The output data array\n     * @param {number} outOff The output offset\n     * @param {number} off The input offset\n     * @param {number} step The step\n     * \n     * @returns {void}\n     */\n    _singleRealTransform2(data, out, outOff, off, step) {\n        // radix-2 implementation\n        // NOTE: Only called for len=4\n\n        const evenR = data[off];\n        const oddR = data[off + step];\n\n        out[outOff] = evenR + oddR;\n        out[outOff + 1] = 0;\n        out[outOff + 2] = evenR - oddR;\n        out[outOff + 3] = 0;\n    }\n\n    /**\n     * Computes a single real-valued transform using radix-4 algorithm.\n     * This method is only called for len=8.\n     *\n     * @param {Float64Array} data The input data array.\n     * @param {Float64Array} out The output data array.\n     * @param {number} outOff The offset into the output array.\n     * @param {number} off The offset into the input array.\n     * @param {number} step The step size for the input array.\n     * @param {number} inv The value of inverse.\n     */\n    _singleRealTransform4(data, out, outOff, off, step, inv) {\n        // radix-4\n        // NOTE: Only called for len=8\n        const step2 = step * 2;\n        const step3 = step * 3;\n\n        // Original values\n        const Ar = data[off];\n        const Br = data[off + step];\n        const Cr = data[off + step2];\n        const Dr = data[off + step3];\n\n        // Pre-Final values\n        const T0r = Ar + Cr;\n        const T1r = Ar - Cr;\n        const T2r = Br + Dr;\n        const T3r = inv * (Br - Dr);\n\n        // Final values\n        out[outOff] = T0r + T2r;\n        out[outOff + 1] = 0;\n        out[outOff + 2] = T1r;\n        out[outOff + 3] = -T3r;\n        out[outOff + 4] = T0r - T2r;\n        out[outOff + 5] = 0;\n        out[outOff + 6] = T1r;\n        out[outOff + 7] = T3r;\n    }\n}\n\n/**\n * NP2FFT class provides functionality for performing Fast Fourier Transform on arrays\n * which are not a power of two in length. In such cases, the chirp-z transform is used.\n * \n * For more information, see: https://math.stackexchange.com/questions/77118/non-power-of-2-ffts/77156#77156\n */\nclass NP2FFT {\n\n    /**\n     * Constructs a new NP2FFT object.\n     * @param {number} fft_length The length of the FFT\n     */\n    constructor(fft_length) {\n        // Helper variables\n        const a = 2 * (fft_length - 1);\n        const b = 2 * (2 * fft_length - 1);\n        const nextP2 = 2 ** (Math.ceil(Math.log2(b)))\n        this.bufferSize = nextP2;\n        this._a = a;\n\n        // Define buffers\n        // Compute chirp for transform\n        const chirp = new Float64Array(b);\n        const ichirp = new Float64Array(nextP2);\n        this._chirpBuffer = new Float64Array(nextP2);\n        this._buffer1 = new Float64Array(nextP2);\n        this._buffer2 = new Float64Array(nextP2);\n        this._outBuffer1 = new Float64Array(nextP2);\n        this._outBuffer2 = new Float64Array(nextP2);\n\n        // Compute complex exponentiation\n        const theta = -2 * Math.PI / fft_length;\n        const baseR = Math.cos(theta);\n        const baseI = Math.sin(theta);\n\n        // Precompute helper for chirp-z transform\n        for (let i = 0; i < b >> 1; ++i) {\n            // Compute complex power:\n            const e = (i + 1 - fft_length) ** 2 / 2.0;\n\n            // Compute the modulus and argument of the result\n            const result_mod = Math.sqrt(baseR ** 2 + baseI ** 2) ** e;\n            const result_arg = e * Math.atan2(baseI, baseR);\n\n            // Convert the result back to rectangular form\n            // and assign to chirp and ichirp\n            const i2 = 2 * i;\n            chirp[i2] = result_mod * Math.cos(result_arg);\n            chirp[i2 + 1] = result_mod * Math.sin(result_arg);\n\n            // conjugate\n            ichirp[i2] = chirp[i2];\n            ichirp[i2 + 1] = - chirp[i2 + 1];\n        }\n        this._slicedChirpBuffer = chirp.subarray(a, b);\n\n        // create object to perform Fast Fourier Transforms\n        // with `nextP2` complex numbers\n        this._f = new P2FFT(nextP2 >> 1);\n        this._f.transform(this._chirpBuffer, ichirp);\n    }\n\n    _transform(output, input, real) {\n        const ib1 = this._buffer1;\n        const ib2 = this._buffer2;\n        const ob2 = this._outBuffer1;\n        const ob3 = this._outBuffer2;\n        const cb = this._chirpBuffer;\n        const sb = this._slicedChirpBuffer;\n        const a = this._a;\n\n        if (real) {\n            // Real multiplication\n            for (let j = 0; j < sb.length; j += 2) {\n                const j2 = j + 1\n                const j3 = j >> 1;\n\n                const a_real = input[j3];\n                ib1[j] = a_real * sb[j];\n                ib1[j2] = a_real * sb[j2];\n            }\n        } else {\n            // Complex multiplication\n            for (let j = 0; j < sb.length; j += 2) {\n                const j2 = j + 1\n                ib1[j] = input[j] * sb[j] - input[j2] * sb[j2];\n                ib1[j2] = input[j] * sb[j2] + input[j2] * sb[j];\n            }\n        }\n        this._f.transform(ob2, ib1);\n\n        for (let j = 0; j < cb.length; j += 2) {\n            const j2 = j + 1;\n\n            ib2[j] = ob2[j] * cb[j] - ob2[j2] * cb[j2];\n            ib2[j2] = ob2[j] * cb[j2] + ob2[j2] * cb[j];\n        }\n        this._f.inverseTransform(ob3, ib2);\n\n        for (let j = 0; j < ob3.length; j += 2) {\n            const a_real = ob3[j + a];\n            const a_imag = ob3[j + a + 1];\n            const b_real = sb[j];\n            const b_imag = sb[j + 1];\n\n            output[j] = a_real * b_real - a_imag * b_imag;\n            output[j + 1] = a_real * b_imag + a_imag * b_real;\n        }\n    }\n\n    transform(output, input) {\n        this._transform(output, input, false);\n    }\n\n    realTransform(output, input) {\n        this._transform(output, input, true);\n    }\n}\n\nexport class FFT {\n    constructor(fft_length) {\n        this.fft_length = fft_length;\n        this.isPowerOfTwo = isPowerOfTwo(fft_length);\n        if (this.isPowerOfTwo) {\n            this.fft = new P2FFT(fft_length);\n            this.outputBufferSize = 2 * fft_length;\n        } else {\n            this.fft = new NP2FFT(fft_length);\n            this.outputBufferSize = this.fft.bufferSize;\n        }\n    }\n\n    realTransform(out, input) {\n        this.fft.realTransform(out, input);\n    }\n\n    transform(out, input) {\n        this.fft.transform(out, input);\n    }\n}\n\n\n/**\n * Performs median filter on the provided data. Padding is done by mirroring the data.\n * @param {AnyTypedArray} data The input array\n * @param {number} windowSize The window size\n */\nexport function medianFilter(data, windowSize) {\n\n    if (windowSize % 2 === 0 || windowSize <= 0) {\n        throw new Error('Window size must be a positive odd number');\n    }\n\n    // @ts-ignore\n    const outputArray = new data.constructor(data.length);\n\n    // @ts-ignore\n    const buffer = new data.constructor(windowSize); // Reusable array for storing values\n\n    const halfWindowSize = Math.floor(windowSize / 2);\n\n    for (let i = 0; i < data.length; ++i) {\n        let valuesIndex = 0;\n\n        for (let j = -halfWindowSize; j <= halfWindowSize; ++j) {\n            let index = i + j;\n            if (index < 0) {\n                index = Math.abs(index);\n            } else if (index >= data.length) {\n                index = 2 * (data.length - 1) - index;\n            }\n\n            buffer[valuesIndex++] = data[index];\n        }\n\n        buffer.sort();\n        outputArray[i] = buffer[halfWindowSize];\n    }\n\n    return outputArray;\n}\n\n/**\n * Helper function to round a number to a given number of decimals\n * @param {number} num The number to round\n * @param {number} decimals The number of decimals\n * @returns {number} The rounded number\n */\nexport function round(num, decimals) {\n    const pow = Math.pow(10, decimals);\n    return Math.round(num * pow) / pow;\n}\n\n/**\n * Helper function to round a number to the nearest integer, with ties rounded to the nearest even number.\n * Also known as \"bankers' rounding\". This is the default rounding mode in python. For example:\n * 1.5 rounds to 2 and 2.5 rounds to 2.\n * \n * @param {number} x The number to round\n * @returns {number} The rounded number\n */\nexport function bankers_round(x) {\n    const r = Math.round(x);\n    const br = Math.abs(x) % 1 === 0.5 ? (r % 2 === 0 ? r : r - 1) : r;\n    return br;\n}\n","/**\n * @file Helper module for `Tensor` processing.\n * \n * These functions and classes are only used internally, \n * meaning an end-user shouldn't need to access anything here.\n * \n * @module utils/tensor\n */\n\nimport { ONNX } from '../backends/onnx.js';\n\nimport {\n    interpolate_data,\n    permute_data\n} from './maths.js';\n\n\nconst DataTypeMap = Object.freeze({\n    float32: Float32Array,\n    float64: Float64Array,\n    string: Array, // string[]\n    int8: Int8Array,\n    uint8: Uint8Array,\n    int16: Int16Array,\n    uint16: Uint16Array,\n    int32: Int32Array,\n    uint32: Uint32Array,\n    int64: BigInt64Array,\n    uint64: BigUint64Array,\n    bool: Uint8Array,\n});\n\n/**\n * @typedef {keyof typeof DataTypeMap} DataType\n * @typedef {import('./maths.js').AnyTypedArray | any[]} DataArray\n */\n\nconst ONNXTensor = ONNX.Tensor;\n\nexport class Tensor {\n    /** @type {number[]} Dimensions of the tensor. */\n    dims;\n\n    /** @type {DataType} Type of the tensor. */\n    type;\n\n    /** @type {DataArray} The data stored in the tensor. */\n    data;\n\n    /** @type {number} The number of elements in the tensor. */\n    size;\n\n    /**\n     * Create a new Tensor or copy an existing Tensor.\n     * @param {[DataType, DataArray, number[]]|[import('onnxruntime-common').Tensor]} args\n     */\n    constructor(...args) {\n        if (args[0] instanceof ONNXTensor) {\n            // Create shallow copy\n            Object.assign(this, args[0]);\n\n        } else {\n            // Create new tensor\n            Object.assign(this, new ONNXTensor(\n                /** @type {DataType} */(args[0]),\n                /** @type {Exclude<import('./maths.js').AnyTypedArray, Uint8ClampedArray>} */(args[1]),\n                args[2]\n            ));\n        }\n\n        return new Proxy(this, {\n            get: (obj, key) => {\n                if (typeof key === 'string') {\n                    let index = Number(key);\n                    if (Number.isInteger(index)) {\n                        // key is an integer (i.e., index)\n                        return obj._getitem(index);\n                    }\n                }\n                // @ts-ignore\n                return obj[key];\n            },\n            set: (obj, key, value) => {\n                // TODO allow setting of data\n\n                // @ts-ignore\n                return obj[key] = value;\n            }\n        });\n    }\n\n    /**\n     * Returns an iterator object for iterating over the tensor data in row-major order.\n     * If the tensor has more than one dimension, the iterator will yield subarrays.\n     * @returns {Iterator} An iterator object for iterating over the tensor data in row-major order.\n     */\n    *[Symbol.iterator]() {\n        const [iterLength, ...iterDims] = this.dims;\n\n        if (iterDims.length > 0) {\n            const iterSize = iterDims.reduce((a, b) => a * b);\n            for (let i = 0; i < iterLength; ++i) {\n                yield this._subarray(i, iterSize, iterDims);\n            }\n        } else {\n            yield* this.data\n        }\n\n    }\n\n    /**\n     * Index into a Tensor object.\n     * @param {number} index The index to access.\n     * @returns {Tensor} The data at the specified index.\n     */\n    _getitem(index) {\n        const [iterLength, ...iterDims] = this.dims;\n\n        index = safeIndex(index, iterLength);\n\n        if (iterDims.length > 0) {\n            const iterSize = iterDims.reduce((a, b) => a * b);\n            return this._subarray(index, iterSize, iterDims);\n        } else {\n            return new Tensor(this.type, [this.data[index]], iterDims);\n        }\n    }\n\n    /**\n     * @param {number|bigint} item The item to search for in the tensor\n     * @returns {number} The index of the first occurrence of item in the tensor data.\n     */\n    indexOf(item) {\n        for (let index = 0; index < this.data.length; ++index) {\n            // Note: == instead of === so we can match Ints with BigInts\n            if (this.data[index] == item) {\n                return index;\n            }\n        }\n        return -1;\n    }\n\n    /**\n     * @param {number} index \n     * @param {number} iterSize \n     * @param {any} iterDims \n     * @returns {Tensor}\n     */\n    _subarray(index, iterSize, iterDims) {\n        const o1 = index * iterSize;\n        const o2 = (index + 1) * iterSize;\n\n        // We use subarray if available (typed array), otherwise we use slice (normal array)\n        const data =\n            ('subarray' in this.data)\n                ? this.data.subarray(o1, o2)\n                : this.data.slice(o1, o2);\n        return new Tensor(this.type, data, iterDims);\n    }\n\n    /**\n     * Returns the value of this tensor as a standard JavaScript Number. This only works\n     * for tensors with one element. For other cases, see `Tensor.tolist()`.\n     * @returns {number|bigint} The value of this tensor as a standard JavaScript Number.\n     * @throws {Error} If the tensor has more than one element.\n     */\n    item() {\n        if (this.data.length !== 1) {\n            throw new Error(`a Tensor with ${this.data.length} elements cannot be converted to Scalar`);\n        }\n        return this.data[0];\n    }\n\n    /**\n     * Convert tensor data to a n-dimensional JS list\n     * @returns {Array}\n     */\n    tolist() {\n        return reshape(this.data, this.dims)\n    }\n\n    /**\n     * Return a new Tensor with the sigmoid function applied to each element.\n     * @returns {Tensor} The tensor with the sigmoid function applied.\n     */\n    sigmoid() {\n        return this.clone().sigmoid_();\n    }\n\n    /**\n     * Applies the sigmoid function to the tensor in place.\n     * @returns {Tensor} Returns `this`.\n     */\n    sigmoid_() {\n        for (let i = 0; i < this.data.length; ++i) {\n            this.data[i] = 1 / (1 + Math.exp(-this.data[i]));\n        }\n        return this;\n    }\n\n    /**\n     * Return a new Tensor with every element multiplied by a constant.\n     * @param {number} val The value to multiply by.\n     * @returns {Tensor} The new tensor.\n     */\n    mul(val) {\n        return this.clone().mul_(val);\n    }\n\n    /**\n     * Multiply the tensor by a constant in place.\n     * @param {number} val The value to multiply by.\n     * @returns {Tensor} Returns `this`.\n     */\n    mul_(val) {\n        for (let i = 0; i < this.data.length; ++i) {\n            this.data[i] *= val;\n        }\n        return this;\n    }\n\n\n    /**\n     * Return a new Tensor with every element added by a constant.\n     * @param {number} val The value to add by.\n     * @returns {Tensor} The new tensor.\n     */\n    add(val) {\n        return this.clone().add_(val);\n    }\n\n    /**\n     * Add the tensor by a constant in place.\n     * @param {number} val The value to add by.\n     * @returns {Tensor} Returns `this`.\n     */\n    add_(val) {\n        for (let i = 0; i < this.data.length; ++i) {\n            this.data[i] += val;\n        }\n        return this;\n    }\n    clone() {\n        return new Tensor(this.type, this.data.slice(), this.dims.slice());\n    }\n\n    slice(...slices) {\n        // This allows for slicing with ranges and numbers\n        let newTensorDims = [];\n        let newOffsets = [];\n\n        // slices is an array of numbers or arrays of numbers\n        // e.g., slices = [0, [1, 3], null, [0, 3]]\n        for (let sliceIndex = 0; sliceIndex < this.dims.length; ++sliceIndex) {\n            let slice = slices[sliceIndex];\n\n            if (slice === null || slice === undefined) {\n                // null or undefined means take the whole dimension\n                newOffsets.push([0, this.dims[sliceIndex]]);\n                newTensorDims.push(this.dims[sliceIndex]);\n\n            } else if (typeof slice === 'number') {\n                slice = safeIndex(slice, this.dims[sliceIndex], sliceIndex);\n\n                // A number means take a single element\n                newOffsets.push([slice, slice + 1]);\n\n            } else if (Array.isArray(slice) && slice.length === 2) {\n                // An array of length 2 means take a range of elements\n\n                if (slice[0] > slice[1]) {\n                    throw new Error(`Invalid slice: ${slice}`);\n                }\n\n                let offsets = [\n                    Math.max(slice[0], 0),\n                    Math.min(slice[1], this.dims[sliceIndex])\n                ];\n\n                newOffsets.push(offsets);\n                newTensorDims.push(offsets[1] - offsets[0]);\n\n            } else {\n                throw new Error(`Invalid slice: ${slice}`);\n            }\n        }\n\n        let newDims = newOffsets.map(([start, end]) => end - start);\n        let newBufferSize = newDims.reduce((a, b) => a * b);\n\n        // Allocate memory\n        // @ts-ignore\n        let data = new this.data.constructor(newBufferSize);\n\n        // Precompute strides\n        const stride = this.stride();\n\n        for (let i = 0; i < newBufferSize; ++i) {\n            let originalIndex = 0;\n            for (let j = newDims.length - 1, num = i; j >= 0; --j) {\n                const size = newDims[j];\n                originalIndex += ((num % size) + newOffsets[j][0]) * stride[j];\n                num = Math.floor(num / size);\n            }\n            data[i] = this.data[originalIndex];\n        }\n        return new Tensor(this.type, data, newTensorDims);\n\n    }\n\n    /**\n     * Return a permuted version of this Tensor, according to the provided dimensions.\n     * @param  {...number} dims Dimensions to permute.\n     * @returns {Tensor} The permuted tensor.\n     */\n    permute(...dims) {\n        return permute(this, dims);\n    }\n\n    // TODO: implement transpose. For now (backwards compatibility), it's just an alias for permute()\n    transpose(...dims) {\n        return this.permute(...dims);\n    }\n\n    // TODO add .max() and .min() methods\n\n    /**\n     * Returns the sum of each row of the input tensor in the given dimension dim.\n     * \n     * @param {number} [dim=null] The dimension or dimensions to reduce. If `null`, all dimensions are reduced.\n     * @param {boolean} keepdim Whether the output tensor has `dim` retained or not.\n     * @returns The summed tensor\n     */\n    sum(dim = null, keepdim = false) {\n        return this.norm(1, dim, keepdim);\n    }\n\n    /**\n     * Returns the matrix norm or vector norm of a given tensor.\n     * @param {number|string} [p='fro'] The order of norm\n     * @param {number} [dim=null] Specifies which dimension of the tensor to calculate the norm across.\n     * If dim is None, the norm will be calculated across all dimensions of input.\n     * @param {boolean} [keepdim=false] Whether the output tensors have dim retained or not.\n     * @returns {Tensor} The norm of the tensor.\n     */\n    norm(p = 'fro', dim = null, keepdim = false) {\n        if (p === 'fro') {\n            // NOTE: Since we only support integer dims, Frobenius norm produces the same result as p=2.\n            p = 2;\n        } else if (typeof p === 'string') {\n            throw Error(`Unsupported norm: ${p}`);\n        }\n\n        if (dim === null) {\n            // @ts-ignore\n            let val = this.data.reduce((a, b) => a + (b ** p), 0) ** (1 / p);\n            return new Tensor(this.type, [val], []);\n        }\n\n        // Negative indexing\n        dim = safeIndex(dim, this.dims.length);\n\n        // Calculate the shape of the resulting array after summation\n        const resultDims = this.dims.slice(); // Copy the original dimensions\n        resultDims[dim] = 1; // Remove the specified axis\n\n        // Create a new array to store the accumulated values\n        // @ts-ignore\n        const result = new this.data.constructor(this.data.length / this.dims[dim]);\n\n        // Iterate over the data array\n        for (let i = 0; i < this.data.length; ++i) {\n\n            // Calculate the index in the resulting array\n            let resultIndex = 0;\n\n            for (let j = this.dims.length - 1, num = i, resultMultiplier = 1; j >= 0; --j) {\n                const size = this.dims[j];\n                if (j !== dim) {\n                    const index = num % size;\n                    resultIndex += index * resultMultiplier;\n                    resultMultiplier *= resultDims[j];\n                }\n                num = Math.floor(num / size);\n            }\n\n            // Accumulate the value at the current index\n            result[resultIndex] += (this.data[i]) ** p;\n        }\n\n        if (p !== 1) {\n            for (let i = 0; i < result.length; ++i) {\n                result[i] = result[i] ** (1 / p);\n            }\n        }\n\n        if (!keepdim) {\n            resultDims.splice(dim, 1);\n        }\n\n        return new Tensor(this.type, result, resultDims);\n    }\n\n    /**\n     * Performs `L_p` normalization of inputs over specified dimension. Operates in place.\n     * @param {number} [p=2] The exponent value in the norm formulation\n     * @param {number} [dim=1] The dimension to reduce\n     * @returns {Tensor} `this` for operation chaining.\n     */\n    normalize_(p = 2.0, dim = 1) {\n        dim = safeIndex(dim, this.dims.length);\n\n        const norm = this.norm(p, dim, true);\n\n        for (let i = 0; i < this.data.length; ++i) {\n\n            // Calculate the index in the resulting array\n            let resultIndex = 0;\n\n            for (let j = this.dims.length - 1, num = i, resultMultiplier = 1; j >= 0; --j) {\n                const size = this.dims[j];\n                if (j !== dim) {\n                    const index = num % size;\n                    resultIndex += index * resultMultiplier;\n                    resultMultiplier *= this.dims[j];\n                }\n                num = Math.floor(num / size);\n            }\n\n            // Divide by normalized value\n            this.data[i] /= norm.data[resultIndex];\n        }\n\n        return this;\n    }\n\n    /**\n     * Performs `L_p` normalization of inputs over specified dimension.\n     * @param {number} [p=2] The exponent value in the norm formulation\n     * @param {number} [dim=1] The dimension to reduce\n     * @returns {Tensor} The normalized tensor.\n     */\n    normalize(p = 2.0, dim = 1) {\n        return this.clone().normalize_(p, dim);\n    }\n\n    /**\n     * Compute and return the stride of this tensor.\n     * Stride is the jump necessary to go from one element to the next one in the specified dimension dim.\n     * @returns {number[]} The stride of this tensor.\n     */\n    stride() {\n        return dimsToStride(this.dims);\n    }\n\n    /**\n     * Returns a tensor with all specified dimensions of input of size 1 removed.\n     * \n     * NOTE: The returned tensor shares the storage with the input tensor, so changing the contents of one will change the contents of the other.\n     * If you would like a copy, use `tensor.clone()` before squeezing.\n     * \n     * @param {number} [dim=null] If given, the input will be squeezed only in the specified dimensions.\n     * @returns The squeezed tensor\n     */\n    squeeze(dim = null) {\n        return new Tensor(\n            this.type,\n            this.data,\n            calc_squeeze_dims(this.dims, dim)\n        )\n    }\n\n    /**\n     * In-place version of @see {@link Tensor.squeeze}\n     */\n    squeeze_(dim = null) {\n        this.dims = calc_squeeze_dims(this.dims, dim);\n        return this;\n    }\n\n    /**\n     * Returns a new tensor with a dimension of size one inserted at the specified position.\n     * \n     * NOTE: The returned tensor shares the same underlying data with this tensor.\n     * \n     * @param {number} dim The index at which to insert the singleton dimension\n     * @returns The unsqueezed tensor\n     */\n    unsqueeze(dim = null) {\n        return new Tensor(\n            this.type,\n            this.data,\n            calc_unsqueeze_dims(this.dims, dim)\n        );\n    }\n\n    /**\n     * In-place version of @see {@link Tensor.unsqueeze}\n     */\n    unsqueeze_(dim = null) {\n        this.dims = calc_unsqueeze_dims(this.dims, dim);\n        return this;\n    }\n\n    /**\n     * In-place version of @see {@link Tensor.flatten}\n     */\n    flatten_(start_dim = 0, end_dim = -1) {\n        // TODO validate inputs\n        end_dim = (end_dim + this.dims.length) % this.dims.length;\n\n        let dimsToKeepBefore = this.dims.slice(0, start_dim);\n        let dimsToFlatten = this.dims.slice(start_dim, end_dim + 1);\n        let dimsToKeepAfter = this.dims.slice(end_dim + 1);\n\n        this.dims = [...dimsToKeepBefore, dimsToFlatten.reduce((a, b) => a * b, 1), ...dimsToKeepAfter]\n        return this;\n    }\n\n    /**\n     * Flattens input by reshaping it into a one-dimensional tensor.\n     * If `start_dim` or `end_dim` are passed, only dimensions starting with `start_dim`\n     * and ending with `end_dim` are flattened. The order of elements in input is unchanged.\n     * @param {number} start_dim the first dim to flatten\n     * @param {number} end_dim the last dim to flatten\n     * @returns The flattened tensor.\n     */\n    flatten(start_dim = 0, end_dim = -1) {\n        return this.clone().flatten_(start_dim, end_dim);\n    }\n\n    /**\n     * Returns a new tensor with the same data as the `self` tensor but of a different `shape`.\n     * @param  {...number} dims the desired size\n     * @returns {Tensor} The tensor with the same data but different shape\n     */\n    view(...dims) {\n        // TODO: validate dims\n        let inferredIndex = -1;\n        for (let i = 0; i < dims.length; ++i) {\n            if (dims[i] === -1) {\n                if (inferredIndex !== -1) {\n                    throw new Error(\"Only one dimension can be inferred\");\n                }\n                inferredIndex = i;\n            }\n        }\n\n        if (inferredIndex !== -1) {\n            // Some dimension must be inferred\n            const productOther = dims.reduce((product, curr, index) => {\n                return index !== inferredIndex ? product * curr : product\n            }, 1);\n\n            dims[inferredIndex] = this.data.length / productOther;\n        }\n        return new Tensor(this.type, this.data, dims); // NOTE: uses same underlying storage\n    }\n\n    neg_() {\n        for (let i = 0; i < this.data.length; ++i) {\n            this.data[i] = -this.data[i];\n        }\n        return this;\n    }\n    neg() {\n        return this.clone().neg_();\n    }\n\n    /**\n     * In-place version of @see {@link Tensor.clamp}\n     */\n    clamp_(min, max) {\n        for (let i = 0; i < this.data.length; ++i) {\n            this.data[i] = Math.min(Math.max(this.data[i], min), max);\n        }\n        return this;\n    }\n\n    /**\n     * Clamps all elements in input into the range [ min, max ]\n     * @param {number} min lower-bound of the range to be clamped to\n     * @param {number} max upper-bound of the range to be clamped to\n     * @returns the output tensor.\n     */\n    clamp(min, max) {\n        return this.clone().clamp_(min, max);\n    }\n\n    /**\n     * In-place version of @see {@link Tensor.round}\n     */\n    round_() {\n        for (let i = 0; i < this.data.length; ++i) {\n            this.data[i] = Math.round(this.data[i]);\n        }\n        return this;\n    }\n\n    /**\n     * Rounds elements of input to the nearest integer.\n     * @returns the output tensor.\n     */\n    round() {\n        return this.clone().round_();\n    }\n\n    /**\n     * Performs Tensor dtype conversion.\n     * @param {DataType} type The desired data type.\n     * @returns {Tensor} The converted tensor.\n     */\n    to(type) {\n        // If the self Tensor already has the correct dtype, then self is returned.\n        if (this.type === type) return this;\n\n        // Otherwise, the returned tensor is a copy of self with the desired dtype.\n        if (!DataTypeMap.hasOwnProperty(type)) {\n            throw new Error(`Unsupported type: ${type}`);\n        }\n        // @ts-ignore\n        return new Tensor(type, DataTypeMap[type].from(this.data), this.dims);\n    }\n}\n\n/**\n * This creates a nested array of a given type and depth (see examples).\n * \n * @example\n *   NestArray<string, 1>; // string[]\n * @example\n *   NestArray<number, 2>; // number[][]\n * @example\n *   NestArray<string, 3>; // string[][][] etc.\n * @template T\n * @template {number} Depth\n * @template {never[]} [Acc=[]]\n * @typedef {Acc['length'] extends Depth ? T : NestArray<T[], Depth, [...Acc, never]>} NestArray\n */\n\n/**\n * Reshapes a 1-dimensional array into an n-dimensional array, according to the provided dimensions.\n *\n * @example\n *   reshape([10                    ], [1      ]); // Type: number[]      Value: [10]\n *   reshape([1, 2, 3, 4            ], [2, 2   ]); // Type: number[][]    Value: [[1, 2], [3, 4]]\n *   reshape([1, 2, 3, 4, 5, 6, 7, 8], [2, 2, 2]); // Type: number[][][]  Value: [[[1, 2], [3, 4]], [[5, 6], [7, 8]]]\n *   reshape([1, 2, 3, 4, 5, 6, 7, 8], [4, 2   ]); // Type: number[][]    Value: [[1, 2], [3, 4], [5, 6], [7, 8]]\n * @param {T[]|DataArray} data The input array to reshape.\n * @param {DIM} dimensions The target shape/dimensions.\n * @template T\n * @template {[number]|number[]} DIM\n * @returns {NestArray<T, DIM[\"length\"]>} The reshaped array.\n */\nfunction reshape(data, dimensions) {\n\n    const totalElements = data.length;\n    const dimensionSize = dimensions.reduce((a, b) => a * b);\n\n    if (totalElements !== dimensionSize) {\n        throw Error(`cannot reshape array of size ${totalElements} into shape (${dimensions})`);\n    }\n\n    /** @type {any} */\n    let reshapedArray = data;\n\n    for (let i = dimensions.length - 1; i >= 0; i--) {\n        reshapedArray = reshapedArray.reduce((acc, val) => {\n            let lastArray = acc[acc.length - 1];\n\n            if (lastArray.length < dimensions[i]) {\n                lastArray.push(val);\n            } else {\n                acc.push([val]);\n            }\n\n            return acc;\n        }, [[]]);\n    }\n\n    return reshapedArray[0];\n}\n\n/**\n * Permutes a tensor according to the provided axes.\n * @param {any} tensor The input tensor to permute.\n * @param {Array} axes The axes to permute the tensor along.\n * @returns {Tensor} The permuted tensor.\n */\nexport function permute(tensor, axes) {\n    const [permutedData, shape] = permute_data(tensor.data, tensor.dims, axes);\n    return new Tensor(tensor.type, permutedData, shape);\n}\n\n\n/**\n * Interpolates an Tensor to the given size.\n * @param {Tensor} input The input tensor to interpolate. Data must be channel-first (i.e., [c, h, w])\n * @param {number[]} size The output size of the image\n * @param {string} mode The interpolation mode\n * @param {boolean} align_corners Whether to align corners.\n * @returns {Tensor} The interpolated tensor.\n */\nexport function interpolate(input, [out_height, out_width], mode = 'bilinear', align_corners = false) {\n\n    // Input image dimensions\n    const in_channels = input.dims.at(-3) ?? 1;\n    const in_height = input.dims.at(-2);\n    const in_width = input.dims.at(-1);\n\n    let output = interpolate_data(\n        /** @type {import('./maths.js').TypedArray}*/(input.data),\n        [in_channels, in_height, in_width],\n        [out_height, out_width],\n        mode,\n        align_corners\n    );\n    return new Tensor(input.type, output, [in_channels, out_height, out_width]);\n}\n\n/**\n * Perform mean pooling of the last hidden state followed by a normalization step.\n * @param {Tensor} last_hidden_state Tensor of shape [batchSize, seqLength, embedDim]\n * @param {Tensor} attention_mask Tensor of shape [batchSize, seqLength]\n * @returns {Tensor} Returns a new Tensor of shape [batchSize, embedDim].\n */\nexport function mean_pooling(last_hidden_state, attention_mask) {\n    // last_hidden_state: [batchSize, seqLength, embedDim]\n    // attention_mask:    [batchSize, seqLength]\n\n    let shape = [last_hidden_state.dims[0], last_hidden_state.dims[2]];\n    // @ts-ignore\n    let returnedData = new last_hidden_state.data.constructor(shape[0] * shape[1]);\n    let [batchSize, seqLength, embedDim] = last_hidden_state.dims;\n\n    let outIndex = 0;\n    for (let i = 0; i < batchSize; ++i) {\n        let offset = i * embedDim * seqLength;\n\n        for (let k = 0; k < embedDim; ++k) {\n            let sum = 0;\n            let count = 0;\n\n            let attnMaskOffset = i * seqLength;\n            let offset2 = offset + k;\n            // Pool over all words in sequence\n            for (let j = 0; j < seqLength; ++j) {\n                // index into attention mask\n                let attn = Number(attention_mask.data[attnMaskOffset + j]);\n\n                count += attn;\n                sum += last_hidden_state.data[offset2 + j * embedDim] * attn;\n            }\n\n            let avg = sum / count;\n            returnedData[outIndex++] = avg;\n        }\n    }\n\n    return new Tensor(\n        last_hidden_state.type,\n        returnedData,\n        shape\n    )\n}\n\n/**\n * Apply Layer Normalization for last certain number of dimensions.\n * @param {Tensor} input The input tensor\n * @param {number[]} normalized_shape input shape from an expected input of size\n * @param {Object} options The options for the layer normalization\n * @param {number} [options.eps=1e-5] A value added to the denominator for numerical stability.\n * @returns {Tensor} The normalized tensor.\n */\nexport function layer_norm(input, normalized_shape, {\n    eps = 1e-5,\n} = {}) {\n    if (input.dims.length !== 2) {\n        throw new Error('`layer_norm` currently only supports 2D input.');\n    }\n\n    const [batchSize, featureDim] = input.dims;\n\n    if (normalized_shape.length !== 1 && normalized_shape[0] !== featureDim) {\n        throw new Error('`normalized_shape` must be a 1D array with shape `[input.dims[1]]`.');\n    }\n\n    const [std, mean] = std_mean(input, 1, 0, true);\n\n    // @ts-ignore\n    const returnedData = new input.data.constructor(input.data.length);\n\n    for (let i = 0; i < batchSize; ++i) {\n        const offset = i * featureDim;\n        for (let j = 0; j < featureDim; ++j) {\n            const offset2 = offset + j;\n            returnedData[offset2] = (input.data[offset2] - mean.data[i]) / (std.data[i] + eps);\n        }\n    }\n    return new Tensor(input.type, returnedData, input.dims);\n}\n\n/**\n * Helper function to calculate new dimensions when performing a squeeze operation.\n * @param {number[]} dims The dimensions of the tensor.\n * @param {number|number[]|null} dim The dimension(s) to squeeze.\n * @returns The new dimensions.\n * @private\n */\nfunction calc_squeeze_dims(dims, dim) {\n    dims = dims.slice();\n    if (dim === null) {\n        dims = dims.filter((d) => d !== 1);\n    } else if (typeof dim === 'number') {\n        if (dims[dim] === 1) {\n            dims.splice(dim, 1);\n        }\n    } else if (Array.isArray(dim)) {\n        dims = dims.filter((x, i) => {\n            return x !== 1 || !dim.includes(i);\n        });\n    }\n    return dims;\n}\n\n/**\n * Helper function to calculate new dimensions when performing an unsqueeze operation.\n * @param {number[]} dims The dimensions of the tensor.\n * @param {number} dim The dimension to unsqueeze.\n * @returns The new dimensions.\n * @private\n */\nfunction calc_unsqueeze_dims(dims, dim) {\n    // Dimension out of range (e.g., \"expected to be in range of [-4, 3], but got 4\")\n    // + 1 since we allow inserting at the end (i.e. dim = -1)\n    dim = safeIndex(dim, dims.length + 1);\n    dims = dims.slice();\n    // Insert 1 into specified dimension\n    dims.splice(dim, 0, 1);\n    return dims;\n}\n\n/**\n * Safely calculate the index for an array of a given size, allowing negative indexing.\n * @param {number} index The index that will be used.\n * @param {number} size The size of the array.\n * @param {number} [dimension=null] The dimension that the index is for (optional).\n * @returns {number} The index, guaranteed to be non-negative and less than `arrayLength`.\n * \n * @throws {Error} If the index is out of range.\n * @private\n */\nfunction safeIndex(index, size, dimension = null) {\n    if (index < -size || index >= size) {\n        throw new Error(`IndexError: index ${index} is out of bounds for dimension${dimension === null ? '' : ' ' + dimension} with size ${size}`);\n    }\n\n    if (index < 0) {\n        // Negative indexing, ensuring positive index\n        index = ((index % size) + size) % size;\n    }\n    return index;\n}\n\n/**\n * Concatenates an array of tensors along a specified dimension.\n * @param {Tensor[]} tensors The array of tensors to concatenate.\n * @param {number} dim The dimension to concatenate along.\n * @returns {Tensor} The concatenated tensor.\n */\nexport function cat(tensors, dim = 0) {\n    dim = safeIndex(dim, tensors[0].dims.length);\n\n    // TODO do validation of shapes\n\n    const resultDims = tensors[0].dims.slice();\n    resultDims[dim] = tensors.reduce((a, b) => a + b.dims[dim], 0);\n\n    // Create a new array to store the accumulated values\n    const resultSize = resultDims.reduce((a, b) => a * b, 1);\n    // @ts-ignore\n    const result = new tensors[0].data.constructor(resultSize);\n\n    // Create output tensor of same type as first\n    const resultType = tensors[0].type;\n\n    if (dim === 0) {\n        // Handle special case for performance reasons\n\n        let offset = 0;\n        for (let t of tensors) {\n            result.set(t.data, offset);\n            offset += t.data.length;\n        }\n\n    } else {\n\n        let currentDim = 0;\n\n        for (let t = 0; t < tensors.length; ++t) {\n            let tensor = tensors[t];\n\n            // Iterate over the data array\n            for (let i = 0; i < tensor.data.length; ++i) {\n                // Calculate the index in the resulting array\n                let resultIndex = 0;\n\n                for (let j = tensor.dims.length - 1, num = i, resultMultiplier = 1; j >= 0; --j) {\n                    const size = tensor.dims[j];\n                    let index = num % size;\n                    if (j === dim) {\n                        index += currentDim;\n                    }\n                    resultIndex += index * resultMultiplier;\n                    resultMultiplier *= resultDims[j];\n                    num = Math.floor(num / size);\n                }\n                // Accumulate the value at the current index\n                result[resultIndex] = tensor.data[i];\n            }\n\n            currentDim += tensor.dims[dim];\n        }\n    }\n    return new Tensor(resultType, result, resultDims);\n}\n\n/**\n * Stack an array of tensors along a specified dimension.\n * @param {Tensor[]} tensors The array of tensors to stack.\n * @param {number} dim The dimension to stack along.\n * @returns {Tensor} The stacked tensor.\n */\nexport function stack(tensors, dim = 0) {\n    // TODO do validation of shapes\n    // NOTE: stack expects each tensor to be equal size\n    return cat(tensors.map(t => t.unsqueeze(dim)), dim);\n}\n\n\n/**\n * Calculates the standard deviation and mean over the dimensions specified by dim. dim can be a single dimension or `null` to reduce over all dimensions.\n * @param {Tensor} input the input tenso\n * @param {number|null} dim the dimension to reduce. If None, all dimensions are reduced.\n * @param {number} correction difference between the sample size and sample degrees of freedom. Defaults to Bessel's correction, correction=1.\n * @param {boolean} keepdim whether the output tensor has dim retained or not.\n * @returns {Tensor[]} A tuple of (std, mean) tensors.\n */\nexport function std_mean(input, dim = null, correction = 1, keepdim = false) {\n\n    if (dim === null) {\n        // None to reduce over all dimensions.\n        // @ts-ignore\n        const sum = input.data.reduce((a, b) => a + b, 0);\n        const mean = sum / input.data.length;\n        // @ts-ignore\n        const std = Math.sqrt(input.data.reduce((a, b) => a + (b - mean) ** 2, 0) / (input.data.length - correction));\n\n        const meanTensor = new Tensor(input.type, [mean], [/* scalar */]);\n        const stdTensor = new Tensor(input.type, [std], [/* scalar */]);\n\n        return [stdTensor, meanTensor];\n    }\n\n    // Negative indexing\n    dim = safeIndex(dim, input.dims.length);\n\n    const meanTensor = mean(input, dim, keepdim);\n\n    // Calculate the shape of the resulting array after summation\n    const resultDims = input.dims.slice(); // Copy the original dimensions\n    resultDims[dim] = 1; // Remove the specified axis\n\n    // Create a new array to store the accumulated values\n    // @ts-ignore\n    const result = new input.data.constructor(input.data.length / input.dims[dim]);\n\n    // Iterate over the data array\n    for (let i = 0; i < input.data.length; ++i) {\n\n        // Calculate the index in the resulting array\n        let resultIndex = 0;\n\n        for (let j = input.dims.length - 1, num = i, resultMultiplier = 1; j >= 0; --j) {\n            const size = input.dims[j];\n            if (j !== dim) {\n                const index = num % size;\n                resultIndex += index * resultMultiplier;\n                resultMultiplier *= resultDims[j];\n            }\n            num = Math.floor(num / size);\n        }\n\n        // Accumulate the value at the current index\n        result[resultIndex] += (input.data[i] - meanTensor.data[resultIndex]) ** 2;\n    }\n\n    for (let i = 0; i < result.length; ++i) {\n        result[i] = Math.sqrt(result[i] / (input.dims[dim] - correction));\n    }\n\n    if (!keepdim) {\n        resultDims.splice(dim, 1);\n    }\n\n    const stdTensor = new Tensor(input.type, result, resultDims);\n\n    return [stdTensor, meanTensor];\n}\n\n\n/**\n * Returns the mean value of each row of the input tensor in the given dimension dim.\n * @param {Tensor} input the input tensor.\n * @param {number|null} dim the dimension to reduce.\n * @param {boolean} keepdim whether the output tensor has dim retained or not.\n * @returns A new tensor with means taken along the specified dimension.\n */\nexport function mean(input, dim = null, keepdim = false) {\n\n    if (dim === null) {\n        // None to reduce over all dimensions.\n        // @ts-ignore\n        let val = input.data.reduce((a, b) => a + b, 0);\n        return new Tensor(input.type, [val / input.data.length], [/* scalar */]);\n    }\n\n    // Negative indexing\n    dim = safeIndex(dim, input.dims.length);\n\n    // Calculate the shape of the resulting array after summation\n    const resultDims = input.dims.slice(); // Copy the original dimensions\n    resultDims[dim] = 1; // Remove the specified axis\n\n    // Create a new array to store the accumulated values\n    // @ts-ignore\n    const result = new input.data.constructor(input.data.length / input.dims[dim]);\n\n    // Iterate over the data array\n    for (let i = 0; i < input.data.length; ++i) {\n\n        // Calculate the index in the resulting array\n        let resultIndex = 0;\n\n        for (let j = input.dims.length - 1, num = i, resultMultiplier = 1; j >= 0; --j) {\n            const size = input.dims[j];\n            if (j !== dim) {\n                const index = num % size;\n                resultIndex += index * resultMultiplier;\n                resultMultiplier *= resultDims[j];\n            }\n            num = Math.floor(num / size);\n        }\n\n        // Accumulate the value at the current index\n        result[resultIndex] += input.data[i];\n    }\n\n    if (input.dims[dim] !== 1) {\n        for (let i = 0; i < result.length; ++i) {\n            result[i] = result[i] / input.dims[dim];\n        }\n    }\n\n    if (!keepdim) {\n        resultDims.splice(dim, 1);\n    }\n\n    return new Tensor(input.type, result, resultDims);\n}\n\n\n/**\n *\n * Measures similarity between two temporal sequences (e.g., input audio and output tokens\n * to generate token-level timestamps).\n * @param {Tensor} matrix \n * @returns {number[][]}\n */\nexport function dynamicTimeWarping(matrix) {\n    const [output_length, input_length] = matrix.dims;\n\n    const outputShape = [output_length + 1, input_length + 1];\n\n    const cost = new Tensor(\n        'float32',\n        new Float32Array(outputShape[0] * outputShape[1]).fill(Infinity),\n        outputShape\n    );\n\n    const trace = new Tensor(\n        'float32',\n        new Float32Array(outputShape[0] * outputShape[1]).fill(-1),\n        outputShape\n    )\n\n    // same as `cost[0][0] = 0`;\n    cost[0].data[0] = 0;\n\n    for (let j = 1; j < input_length + 1; ++j) {\n        for (let i = 1; i < output_length + 1; ++i) {\n\n            const c0 = cost[i - 1][j - 1].item();\n            const c1 = cost[i - 1][j].item();\n            const c2 = cost[i][j - 1].item();\n\n            let c, t;\n            if (c0 < c1 && c0 < c2) {\n                c = c0;\n                t = 0;\n            } else if (c1 < c0 && c1 < c2) {\n                c = c1;\n                t = 1;\n            } else {\n                c = c2;\n                t = 2;\n            }\n\n            cost[i].data[j] = matrix[i - 1][j - 1].item() + c;\n            trace[i].data[j] = t;\n        }\n    }\n\n    // backtrace\n    let i = output_length;\n    let j = input_length;\n\n    // @ts-ignore\n    trace.data.fill(2, 0, outputShape[1]) // trace[0, :] = 2\n    for (let i = 0; i < outputShape[0]; ++i) { // trace[:, 0] = 1\n        trace[i].data[0] = 1;\n    }\n\n    let text_indices = [];\n    let time_indices = [];\n\n    while (i > 0 || j > 0) {\n        text_indices.push(i - 1);\n        time_indices.push(j - 1);\n\n        const t = trace[i][j].item();\n        switch (t) {\n            case 0:\n                --i; --j;\n                break;\n            case 1:\n                --i;\n                break;\n            case 2:\n                --j;\n                break;\n            default:\n                throw new Error(\n                    `Internal error in dynamic time warping. Unexpected trace[${i}, ${j}]. Please file a bug report.`\n                )\n        }\n    }\n\n    text_indices.reverse();\n    time_indices.reverse();\n\n    return [text_indices, time_indices];\n\n}\n\nfunction dimsToStride(dims) {\n    const stride = new Array(dims.length);\n    for (let i = dims.length - 1, s2 = 1; i >= 0; --i) {\n        stride[i] = s2;\n        s2 *= dims[i];\n    }\n    return stride;\n}\n\n/**\n * Returns a tensor filled with the scalar value 1, with the shape defined by the variable argument size.\n * @param {number[]} size A sequence of integers defining the shape of the output tensor.\n */\nexport function ones(size) {\n    const numElements = size.reduce((a, b) => a * b, 1);\n    return new Tensor(\n        'int64',\n        new BigInt64Array(numElements).fill(1n),\n        size\n    )\n}\n\n/**\n * Returns a tensor filled with the scalar value 1, with the same size as input.\n * @param {Tensor} tensor The size of input will determine size of the output tensor.\n * @returns The ones tensor.\n */\nexport function ones_like(tensor) {\n    return ones(tensor.dims);\n}\n\n/**\n * Quantizes the embeddings tensor to binary or unsigned binary precision.\n * @param {Tensor} tensor The tensor to quantize.\n * @param {'binary'|'ubinary'} precision The precision to use for quantization.\n * @returns {Tensor} The quantized tensor.\n */\nexport function quantize_embeddings(tensor, precision) {\n    if (tensor.dims.length !== 2) {\n        throw new Error(\"The tensor must have 2 dimensions\");\n    }\n    if (tensor.dims.at(-1) % 8 !== 0) {\n        throw new Error(\"The last dimension of the tensor must be a multiple of 8\");\n    }\n    if (!['binary', 'ubinary'].includes(precision)) {\n        throw new Error(\"The precision must be either 'binary' or 'ubinary'\");\n    }\n\n    const signed = precision === 'binary';\n    const dtype = signed ? 'int8' : 'uint8';\n\n    // Create a typed array to store the packed bits\n    const cls = signed ? Int8Array : Uint8Array;\n    const inputData = tensor.data;\n    const outputData = new cls(inputData.length / 8);\n\n    // Iterate over each number in the array\n    for (let i = 0; i < inputData.length; ++i) {\n        // Determine if the number is greater than 0\n        const bit = inputData[i] > 0 ? 1 : 0;\n\n        // Calculate the index in the typed array and the position within the byte\n        const arrayIndex = Math.floor(i / 8);\n        const bitPosition = i % 8;\n\n        // Pack the bit into the typed array\n        outputData[arrayIndex] |= bit << (7 - bitPosition);\n        if (signed && bitPosition === 0) {\n            outputData[arrayIndex] -= 128;\n        }\n    };\n\n    return new Tensor(dtype, outputData, [tensor.dims[0], tensor.dims[1] / 8]);\n}\n","\n/**\n * @file Custom data structures.\n * \n * These are only used internally, meaning an end-user shouldn't\n * need to access anything here.\n * \n * @module utils/data-structures\n */\n\n\n/**\n * Efficient Heap-based Implementation of a Priority Queue.\n * It uses an array-based binary heap, where the root is at index `0`, and the\n * children of node `i` are located at indices `2i + 1` and `2i + 2`, respectively.\n * \n * Adapted from the following sources:\n * - https://stackoverflow.com/a/42919752/13989043 (original)\n * - https://github.com/belladoreai/llama-tokenizer-js (minor improvements)\n */\nexport class PriorityQueue {\n\n    /**\n     * Create a new PriorityQueue.\n     * @param {Function} comparator Comparator function to determine priority. Defaults to a MaxHeap.\n     */\n    constructor(comparator = (a, b) => a > b) {\n        this._heap = [];\n        this._comparator = comparator;\n    }\n\n    /**\n     * The size of the queue\n     */\n    get size() {\n        return this._heap.length;\n    }\n\n    /**\n     * Check if the queue is empty.\n     * @returns {boolean} `true` if the queue is empty, `false` otherwise.\n     */\n    isEmpty() {\n        return this.size === 0;\n    }\n\n    /**\n     * Return the element with the highest priority in the queue.\n     * @returns {any} The highest priority element in the queue.\n     */\n    peek() {\n        return this._heap[0];\n    }\n\n    /**\n     * Add one or more elements to the queue.\n     * @param  {...any} values The values to push into the queue.\n     * @returns {number} The new size of the queue.\n     */\n    push(...values) {\n        return this.extend(values);\n    }\n\n    /**\n     * Add multiple elements to the queue.\n     * @param {any[]} values The values to push into the queue.\n     * @returns {number} The new size of the queue.\n     */\n    extend(values) {\n        for (const value of values) {\n            this._heap.push(value);\n            this._siftUp();\n        }\n        return this.size;\n    }\n\n    /**\n     * Remove and return the element with the highest priority in the queue.\n     * @returns {any} The element with the highest priority in the queue.\n     */\n    pop() {\n        const poppedValue = this.peek();\n        const bottom = this.size - 1;\n        if (bottom > 0) {\n            this._swap(0, bottom);\n        }\n        this._heap.pop();\n        this._siftDown();\n        return poppedValue;\n    }\n\n    /**\n     * Replace the element with the highest priority in the queue with a new value.\n     * @param {*} value The new value.\n     * @returns {*} The replaced value.\n     */\n    replace(value) {\n        const replacedValue = this.peek();\n        this._heap[0] = value;\n        this._siftDown();\n        return replacedValue;\n    }\n\n    /**\n     * Compute the index for the parent of the node at index `i`.\n     * @param {number} i The index of the node to get the parent of.\n     * @returns {number} The index of the parent node.\n     * @private\n     */\n    _parent(i) {\n        return ((i + 1) >>> 1) - 1;\n    }\n\n    /**\n     * Compute the index for the left child of the node at index `i`.\n     * @param {number} i The index of the node to get the left child of.\n     * @returns {number} The index of the left child.\n     * @private\n     */\n    _left(i) {\n        return (i << 1) + 1;\n    }\n\n    /**\n     * Compute the index for the right child of the node at index `i`.\n     * @param {number} i The index of the node to get the right child of.\n     * @returns {number} The index of the right child.\n     * @private\n     */\n    _right(i) {\n        return (i + 1) << 1;\n    }\n\n    /**\n     * Check if the element at index `i` is greater than the element at index `j`.\n     * @param {number} i The index of the first element to compare.\n     * @param {number} j The index of the second element to compare.\n     * @returns {boolean} `true` if the element at index `i` is greater than the element at index `j`, `false` otherwise.\n     * @private\n     */\n    _greater(i, j) {\n        return this._comparator(this._heap[i], this._heap[j]);\n    }\n\n    /**\n     * Swap the elements at indices `i` and `j`.\n     * @param {number} i The index of the first element to swap.\n     * @param {number} j The index of the second element to swap.\n     * @private\n     */\n    _swap(i, j) {\n        const temp = this._heap[i];\n        this._heap[i] = this._heap[j];\n        this._heap[j] = temp;\n    }\n\n    /**\n     * Maintain the heap property by updating positions in the heap,\n     * starting at the last element and moving up the heap.\n     * @private\n     */\n    _siftUp() {\n        let node = this.size - 1;\n        while (node > 0 && this._greater(node, this._parent(node))) {\n            this._swap(node, this._parent(node));\n            node = this._parent(node);\n        }\n    }\n    /**\n     * Maintain the heap property by updating positions in the heap,\n     * starting at the first element and moving down the heap.\n     * @private\n     */\n    _siftDown() {\n        let node = 0;\n        while (\n            (this._left(node) < this.size && this._greater(this._left(node), node)) ||\n            (this._right(node) < this.size && this._greater(this._right(node), node))\n        ) {\n            const maxChild = (this._right(node) < this.size && this._greater(this._right(node), this._left(node)))\n                ? this._right(node)\n                : this._left(node);\n            this._swap(node, maxChild);\n            node = maxChild;\n        }\n    }\n}\n\n/**\n * A trie structure to efficiently store and search for strings.\n */\nexport class CharTrie {\n    constructor() {\n        this.root = CharTrieNode.default();\n    }\n\n    /**\n     * Adds one or more `texts` to the trie.\n     * @param {string[]} texts The strings to add to the trie.\n     */\n    extend(texts) {\n        for (let text of texts) {\n            this.push(text);\n        }\n    }\n\n    /**\n     * Adds text to the trie.\n     * @param {string} text The string to add to the trie.\n     */\n    push(text) {\n        let node = this.root;\n        for (let ch of text) {\n            let child = node.children.get(ch);\n            if (child === undefined) {\n                child = CharTrieNode.default();\n                node.children.set(ch, child);\n            }\n            node = child;\n        }\n        node.isLeaf = true;\n    }\n\n    /**\n     * Searches the trie for all strings with a common prefix of `text`.\n     * @param {string} text The common prefix to search for.\n     * @yields {string} Each string in the trie that has `text` as a prefix.\n     */\n    *commonPrefixSearch(text) {\n        let node = this.root;\n        let prefix = \"\";\n        for (let i = 0; i < text.length && node !== undefined; ++i) {\n            const ch = text[i];\n            prefix += ch;\n            node = node.children.get(ch);\n            if (node !== undefined && node.isLeaf) {\n                yield prefix;\n            }\n        }\n    }\n}\n\n/**\n * Represents a node in a character trie.\n */\nclass CharTrieNode {\n    /**\n     * Create a new CharTrieNode.\n     * @param {boolean} isLeaf Whether the node is a leaf node or not.\n     * @param {Map<string, CharTrieNode>} children A map containing the node's children, where the key is a character and the value is a `CharTrieNode`.\n     */\n    constructor(isLeaf, children) {\n        this.isLeaf = isLeaf;\n        this.children = children;\n    }\n\n    /**\n     * Returns a new `CharTrieNode` instance with default values.\n     * @returns {CharTrieNode} A new `CharTrieNode` instance with `isLeaf` set to `false` and an empty `children` map.\n     */\n    static default() {\n        return new CharTrieNode(false, new Map());\n    }\n}\n\n/**\n * A lattice data structure to be used for tokenization.\n */\nexport class TokenLattice {\n    /**\n     * Creates a new TokenLattice instance.\n     *\n     * @param {string} sentence The input sentence to be tokenized.\n     * @param {number} bosTokenId The beginning-of-sequence token ID.\n     * @param {number} eosTokenId The end-of-sequence token ID.\n     */\n    constructor(sentence, bosTokenId, eosTokenId) {\n        this.sentence = sentence;\n        this.len = sentence.length;\n        this.bosTokenId = bosTokenId;\n        this.eosTokenId = eosTokenId;\n        this.nodes = [];\n        this.beginNodes = Array.from({ length: this.len + 1 }, () => []);\n        this.endNodes = Array.from({ length: this.len + 1 }, () => []);\n\n        const bos = new TokenLatticeNode(this.bosTokenId, 0, 0, 0, 0.0);\n        const eos = new TokenLatticeNode(this.eosTokenId, 1, this.len, 0, 0.0);\n        this.nodes.push(bos.clone());\n        this.nodes.push(eos.clone());\n        this.beginNodes[this.len].push(eos);\n        this.endNodes[0].push(bos);\n    }\n\n    /**\n     * Inserts a new token node into the token lattice.\n     *\n     * @param {number} pos The starting position of the token.\n     * @param {number} length The length of the token.\n     * @param {number} score The score of the token.\n     * @param {number} tokenId The token ID of the token.\n     */\n    insert(pos, length, score, tokenId) {\n        const nodeId = this.nodes.length;\n        const node = new TokenLatticeNode(tokenId, nodeId, pos, length, score);\n        this.beginNodes[pos].push(node);\n        this.endNodes[pos + length].push(node);\n        this.nodes.push(node);\n    }\n\n    /**\n     * Implements the Viterbi algorithm to compute the most likely sequence of tokens.\n     *\n     * @returns {TokenLatticeNode[]} The array of nodes representing the most likely sequence of tokens.\n     */\n    viterbi() {\n        const len = this.len;\n        let pos = 0;\n        while (pos <= len) {\n            if (this.beginNodes[pos].length == 0) {\n                return [];\n            }\n            for (let rnode of this.beginNodes[pos]) {\n                rnode.prev = null;\n                let bestScore = 0.0;\n                let bestNode = null;\n                for (let lnode of this.endNodes[pos]) {\n                    const score = lnode.backtraceScore + rnode.score;\n                    if (bestNode === null || score > bestScore) {\n                        bestNode = lnode.clone();\n                        bestScore = score;\n                    }\n                }\n\n                if (bestNode !== null) {\n                    rnode.prev = bestNode;\n                    rnode.backtraceScore = bestScore;\n                } else {\n                    return [];\n                }\n            }\n            ++pos;\n        }\n\n        const results = [];\n        const root = this.beginNodes[len][0];\n        const prev = root.prev;\n        if (prev === null) {\n            return [];\n        }\n\n        let node = prev.clone();\n        while (node.prev !== null) {\n            results.push(node.clone());\n            const n = node.clone();\n            node = n.prev.clone();\n        }\n\n        results.reverse();\n        return results;\n    }\n\n    /**\n     * @param {TokenLatticeNode} node\n     * @returns {string} The array of nodes representing the most likely sequence of tokens.\n     */\n    piece(node) {\n        return this.sentence.slice(node.pos, node.pos + node.length);\n    }\n\n    /**\n     * @returns {Array} The array of nodes representing the most likely sequence of tokens.\n     */\n    tokens() {\n        const nodes = this.viterbi();\n        return nodes.map(x => this.piece(x));\n    }\n\n    /**\n     * @returns {Array} The array of nodes representing the most likely sequence of tokens.\n     */\n    tokenIds() {\n        const nodes = this.viterbi();\n        return nodes.map(x => x.tokenId);\n    }\n}\nclass TokenLatticeNode {\n    /**\n     * Represents a node in a token lattice for a given sentence.\n     * @param {number} tokenId The ID of the token associated with this node.\n     * @param {number} nodeId The ID of this node.\n     * @param {number} pos The starting position of the token in the sentence.\n     * @param {number} length The length of the token.\n     * @param {number} score The score associated with the token.\n     */\n    constructor(tokenId, nodeId, pos, length, score) {\n        this.tokenId = tokenId;\n        this.nodeId = nodeId;\n        this.pos = pos;\n        this.length = length;\n        this.score = score;\n        this.prev = null;\n        this.backtraceScore = 0.0;\n    }\n\n    /**\n     * Returns a clone of this node.\n     * @returns {TokenLatticeNode} A clone of this node.\n     */\n    clone() {\n        const n = new TokenLatticeNode(this.tokenId, this.nodeId, this.pos, this.length, this.score);\n        n.prev = this.prev;\n        n.backtraceScore = this.backtraceScore;\n        return n;\n    }\n}\n","// src/lexer.ts\nvar TOKEN_TYPES = Object.freeze({\n  Text: \"Text\",\n  // The text between Jinja statements or expressions\n  NumericLiteral: \"NumericLiteral\",\n  // e.g., 123\n  BooleanLiteral: \"BooleanLiteral\",\n  // true or false\n  StringLiteral: \"StringLiteral\",\n  // 'string'\n  Identifier: \"Identifier\",\n  // Variables, functions, etc.\n  Equals: \"Equals\",\n  // =\n  OpenParen: \"OpenParen\",\n  // (\n  CloseParen: \"CloseParen\",\n  // )\n  OpenStatement: \"OpenStatement\",\n  // {%\n  CloseStatement: \"CloseStatement\",\n  // %}\n  OpenExpression: \"OpenExpression\",\n  // {{\n  CloseExpression: \"CloseExpression\",\n  // }}\n  OpenSquareBracket: \"OpenSquareBracket\",\n  // [\n  CloseSquareBracket: \"CloseSquareBracket\",\n  // ]\n  OpenCurlyBracket: \"OpenCurlyBracket\",\n  // {\n  CloseCurlyBracket: \"CloseCurlyBracket\",\n  // }\n  Comma: \"Comma\",\n  // ,\n  Dot: \"Dot\",\n  // .\n  Colon: \"Colon\",\n  // :\n  Pipe: \"Pipe\",\n  // |\n  CallOperator: \"CallOperator\",\n  // ()\n  AdditiveBinaryOperator: \"AdditiveBinaryOperator\",\n  // + -\n  MultiplicativeBinaryOperator: \"MultiplicativeBinaryOperator\",\n  // * / %\n  ComparisonBinaryOperator: \"ComparisonBinaryOperator\",\n  // < > <= >= == !=\n  UnaryOperator: \"UnaryOperator\",\n  // ! - +\n  // Keywords\n  Set: \"Set\",\n  If: \"If\",\n  For: \"For\",\n  In: \"In\",\n  Is: \"Is\",\n  NotIn: \"NotIn\",\n  Else: \"Else\",\n  EndIf: \"EndIf\",\n  ElseIf: \"ElseIf\",\n  EndFor: \"EndFor\",\n  And: \"And\",\n  Or: \"Or\",\n  Not: \"UnaryOperator\"\n});\nvar KEYWORDS = Object.freeze({\n  set: TOKEN_TYPES.Set,\n  for: TOKEN_TYPES.For,\n  in: TOKEN_TYPES.In,\n  is: TOKEN_TYPES.Is,\n  if: TOKEN_TYPES.If,\n  else: TOKEN_TYPES.Else,\n  endif: TOKEN_TYPES.EndIf,\n  elif: TOKEN_TYPES.ElseIf,\n  endfor: TOKEN_TYPES.EndFor,\n  and: TOKEN_TYPES.And,\n  or: TOKEN_TYPES.Or,\n  not: TOKEN_TYPES.Not,\n  \"not in\": TOKEN_TYPES.NotIn,\n  // Literals\n  true: TOKEN_TYPES.BooleanLiteral,\n  false: TOKEN_TYPES.BooleanLiteral\n});\nvar Token = class {\n  /**\n   * Constructs a new Token.\n   * @param {string} value The raw value as seen inside the source code.\n   * @param {TokenType} type The type of token.\n   */\n  constructor(value, type) {\n    this.value = value;\n    this.type = type;\n  }\n};\nfunction isWord(char) {\n  return /\\w/.test(char);\n}\nfunction isInteger(char) {\n  return /[0-9]/.test(char);\n}\nvar ORDERED_MAPPING_TABLE = [\n  // Control sequences\n  [\"{%\", TOKEN_TYPES.OpenStatement],\n  [\"%}\", TOKEN_TYPES.CloseStatement],\n  [\"{{\", TOKEN_TYPES.OpenExpression],\n  [\"}}\", TOKEN_TYPES.CloseExpression],\n  // Single character tokens\n  [\"(\", TOKEN_TYPES.OpenParen],\n  [\")\", TOKEN_TYPES.CloseParen],\n  [\"{\", TOKEN_TYPES.OpenCurlyBracket],\n  [\"}\", TOKEN_TYPES.CloseCurlyBracket],\n  [\"[\", TOKEN_TYPES.OpenSquareBracket],\n  [\"]\", TOKEN_TYPES.CloseSquareBracket],\n  [\",\", TOKEN_TYPES.Comma],\n  [\".\", TOKEN_TYPES.Dot],\n  [\":\", TOKEN_TYPES.Colon],\n  [\"|\", TOKEN_TYPES.Pipe],\n  // Comparison operators\n  [\"<=\", TOKEN_TYPES.ComparisonBinaryOperator],\n  [\">=\", TOKEN_TYPES.ComparisonBinaryOperator],\n  [\"==\", TOKEN_TYPES.ComparisonBinaryOperator],\n  [\"!=\", TOKEN_TYPES.ComparisonBinaryOperator],\n  [\"<\", TOKEN_TYPES.ComparisonBinaryOperator],\n  [\">\", TOKEN_TYPES.ComparisonBinaryOperator],\n  // Arithmetic operators\n  [\"+\", TOKEN_TYPES.AdditiveBinaryOperator],\n  [\"-\", TOKEN_TYPES.AdditiveBinaryOperator],\n  [\"*\", TOKEN_TYPES.MultiplicativeBinaryOperator],\n  [\"/\", TOKEN_TYPES.MultiplicativeBinaryOperator],\n  [\"%\", TOKEN_TYPES.MultiplicativeBinaryOperator],\n  // Assignment operator\n  [\"=\", TOKEN_TYPES.Equals]\n];\nvar ESCAPE_CHARACTERS = /* @__PURE__ */ new Map([\n  [\"n\", \"\\n\"],\n  // New line\n  [\"t\", \"\t\"],\n  // Horizontal tab\n  [\"r\", \"\\r\"],\n  // Carriage return\n  [\"b\", \"\\b\"],\n  // Backspace\n  [\"f\", \"\\f\"],\n  // Form feed\n  [\"v\", \"\\v\"],\n  // Vertical tab\n  [\"'\", \"'\"],\n  // Single quote\n  ['\"', '\"'],\n  // Double quote\n  [\"\\\\\", \"\\\\\"]\n  // Backslash\n]);\nfunction preprocess(template, options = {}) {\n  if (template.endsWith(\"\\n\")) {\n    template = template.slice(0, -1);\n  }\n  template = template.replace(/{#.*?#}/gs, \"{##}\");\n  if (options.lstrip_blocks) {\n    template = template.replace(/^[ \\t]*({[#%])/gm, \"$1\");\n  }\n  if (options.trim_blocks) {\n    template = template.replace(/([#%]})\\n/g, \"$1\");\n  }\n  return template.replace(/{##}/g, \"\").replace(/-%}\\s*/g, \"%}\").replace(/\\s*{%-/g, \"{%\").replace(/-}}\\s*/g, \"}}\").replace(/\\s*{{-/g, \"{{\");\n}\nfunction tokenize(source, options = {}) {\n  const tokens = [];\n  const src = preprocess(source, options);\n  let cursorPosition = 0;\n  const consumeWhile = (predicate) => {\n    let str = \"\";\n    while (predicate(src[cursorPosition])) {\n      if (src[cursorPosition] === \"\\\\\") {\n        ++cursorPosition;\n        if (cursorPosition >= src.length)\n          throw new SyntaxError(\"Unexpected end of input\");\n        const escaped = src[cursorPosition++];\n        const unescaped = ESCAPE_CHARACTERS.get(escaped);\n        if (unescaped === void 0) {\n          throw new SyntaxError(`Unexpected escaped character: ${escaped}`);\n        }\n        str += unescaped;\n        continue;\n      }\n      str += src[cursorPosition++];\n      if (cursorPosition >= src.length)\n        throw new SyntaxError(\"Unexpected end of input\");\n    }\n    return str;\n  };\n  main:\n    while (cursorPosition < src.length) {\n      const lastTokenType = tokens.at(-1)?.type;\n      if (lastTokenType === void 0 || lastTokenType === TOKEN_TYPES.CloseStatement || lastTokenType === TOKEN_TYPES.CloseExpression) {\n        let text = \"\";\n        while (cursorPosition < src.length && // Keep going until we hit the next Jinja statement or expression\n        !(src[cursorPosition] === \"{\" && (src[cursorPosition + 1] === \"%\" || src[cursorPosition + 1] === \"{\"))) {\n          text += src[cursorPosition++];\n        }\n        if (text.length > 0) {\n          tokens.push(new Token(text, TOKEN_TYPES.Text));\n          continue;\n        }\n      }\n      consumeWhile((char2) => /\\s/.test(char2));\n      const char = src[cursorPosition];\n      if (char === \"-\" || char === \"+\") {\n        const lastTokenType2 = tokens.at(-1)?.type;\n        if (lastTokenType2 === TOKEN_TYPES.Text || lastTokenType2 === void 0) {\n          throw new SyntaxError(`Unexpected character: ${char}`);\n        }\n        switch (lastTokenType2) {\n          case TOKEN_TYPES.Identifier:\n          case TOKEN_TYPES.NumericLiteral:\n          case TOKEN_TYPES.BooleanLiteral:\n          case TOKEN_TYPES.StringLiteral:\n          case TOKEN_TYPES.CloseParen:\n          case TOKEN_TYPES.CloseSquareBracket:\n            break;\n          default: {\n            ++cursorPosition;\n            const num = consumeWhile(isInteger);\n            tokens.push(\n              new Token(`${char}${num}`, num.length > 0 ? TOKEN_TYPES.NumericLiteral : TOKEN_TYPES.UnaryOperator)\n            );\n            continue;\n          }\n        }\n      }\n      for (const [char2, token] of ORDERED_MAPPING_TABLE) {\n        const slice2 = src.slice(cursorPosition, cursorPosition + char2.length);\n        if (slice2 === char2) {\n          tokens.push(new Token(char2, token));\n          cursorPosition += char2.length;\n          continue main;\n        }\n      }\n      if (char === \"'\" || char === '\"') {\n        ++cursorPosition;\n        const str = consumeWhile((c) => c !== char);\n        tokens.push(new Token(str, TOKEN_TYPES.StringLiteral));\n        ++cursorPosition;\n        continue;\n      }\n      if (isInteger(char)) {\n        const num = consumeWhile(isInteger);\n        tokens.push(new Token(num, TOKEN_TYPES.NumericLiteral));\n        continue;\n      }\n      if (isWord(char)) {\n        const word = consumeWhile(isWord);\n        const type = Object.hasOwn(KEYWORDS, word) ? KEYWORDS[word] : TOKEN_TYPES.Identifier;\n        if (type === TOKEN_TYPES.In && tokens.at(-1)?.type === TOKEN_TYPES.Not) {\n          tokens.pop();\n          tokens.push(new Token(\"not in\", TOKEN_TYPES.NotIn));\n        } else {\n          tokens.push(new Token(word, type));\n        }\n        continue;\n      }\n      throw new SyntaxError(`Unexpected character: ${char}`);\n    }\n  return tokens;\n}\n\n// src/ast.ts\nvar Statement = class {\n  type = \"Statement\";\n};\nvar Program = class extends Statement {\n  constructor(body) {\n    super();\n    this.body = body;\n  }\n  type = \"Program\";\n};\nvar If = class extends Statement {\n  constructor(test, body, alternate) {\n    super();\n    this.test = test;\n    this.body = body;\n    this.alternate = alternate;\n  }\n  type = \"If\";\n};\nvar For = class extends Statement {\n  constructor(loopvar, iterable, body) {\n    super();\n    this.loopvar = loopvar;\n    this.iterable = iterable;\n    this.body = body;\n  }\n  type = \"For\";\n};\nvar SetStatement = class extends Statement {\n  constructor(assignee, value) {\n    super();\n    this.assignee = assignee;\n    this.value = value;\n  }\n  type = \"Set\";\n};\nvar Expression = class extends Statement {\n  type = \"Expression\";\n};\nvar MemberExpression = class extends Expression {\n  constructor(object, property, computed) {\n    super();\n    this.object = object;\n    this.property = property;\n    this.computed = computed;\n  }\n  type = \"MemberExpression\";\n};\nvar CallExpression = class extends Expression {\n  constructor(callee, args) {\n    super();\n    this.callee = callee;\n    this.args = args;\n  }\n  type = \"CallExpression\";\n};\nvar Identifier = class extends Expression {\n  /**\n   * @param {string} value The name of the identifier\n   */\n  constructor(value) {\n    super();\n    this.value = value;\n  }\n  type = \"Identifier\";\n};\nvar Literal = class extends Expression {\n  constructor(value) {\n    super();\n    this.value = value;\n  }\n  type = \"Literal\";\n};\nvar NumericLiteral = class extends Literal {\n  type = \"NumericLiteral\";\n};\nvar StringLiteral = class extends Literal {\n  type = \"StringLiteral\";\n};\nvar BooleanLiteral = class extends Literal {\n  type = \"BooleanLiteral\";\n};\nvar ArrayLiteral = class extends Literal {\n  type = \"ArrayLiteral\";\n};\nvar TupleLiteral = class extends Literal {\n  type = \"TupleLiteral\";\n};\nvar ObjectLiteral = class extends Literal {\n  type = \"ObjectLiteral\";\n};\nvar BinaryExpression = class extends Expression {\n  constructor(operator, left, right) {\n    super();\n    this.operator = operator;\n    this.left = left;\n    this.right = right;\n  }\n  type = \"BinaryExpression\";\n};\nvar FilterExpression = class extends Expression {\n  constructor(operand, filter) {\n    super();\n    this.operand = operand;\n    this.filter = filter;\n  }\n  type = \"FilterExpression\";\n};\nvar TestExpression = class extends Expression {\n  constructor(operand, negate, test) {\n    super();\n    this.operand = operand;\n    this.negate = negate;\n    this.test = test;\n  }\n  type = \"TestExpression\";\n};\nvar UnaryExpression = class extends Expression {\n  constructor(operator, argument) {\n    super();\n    this.operator = operator;\n    this.argument = argument;\n  }\n  type = \"UnaryExpression\";\n};\nvar SliceExpression = class extends Expression {\n  constructor(start = void 0, stop = void 0, step = void 0) {\n    super();\n    this.start = start;\n    this.stop = stop;\n    this.step = step;\n  }\n  type = \"SliceExpression\";\n};\nvar KeywordArgumentExpression = class extends Expression {\n  constructor(key, value) {\n    super();\n    this.key = key;\n    this.value = value;\n  }\n  type = \"KeywordArgumentExpression\";\n};\n\n// src/parser.ts\nfunction parse(tokens) {\n  const program = new Program([]);\n  let current = 0;\n  function expect(type, error) {\n    const prev = tokens[current++];\n    if (!prev || prev.type !== type) {\n      throw new Error(`Parser Error: ${error}. ${prev.type} !== ${type}.`);\n    }\n    return prev;\n  }\n  function parseAny() {\n    switch (tokens[current].type) {\n      case TOKEN_TYPES.Text:\n        return parseText();\n      case TOKEN_TYPES.OpenStatement:\n        return parseJinjaStatement();\n      case TOKEN_TYPES.OpenExpression:\n        return parseJinjaExpression();\n      default:\n        throw new SyntaxError(`Unexpected token type: ${tokens[current].type}`);\n    }\n  }\n  function not(...types) {\n    return current + types.length <= tokens.length && types.some((type, i) => type !== tokens[current + i].type);\n  }\n  function is(...types) {\n    return current + types.length <= tokens.length && types.every((type, i) => type === tokens[current + i].type);\n  }\n  function parseText() {\n    return new StringLiteral(expect(TOKEN_TYPES.Text, \"Expected text token\").value);\n  }\n  function parseJinjaStatement() {\n    expect(TOKEN_TYPES.OpenStatement, \"Expected opening statement token\");\n    let result;\n    switch (tokens[current].type) {\n      case TOKEN_TYPES.Set:\n        ++current;\n        result = parseSetStatement();\n        expect(TOKEN_TYPES.CloseStatement, \"Expected closing statement token\");\n        break;\n      case TOKEN_TYPES.If:\n        ++current;\n        result = parseIfStatement();\n        expect(TOKEN_TYPES.OpenStatement, \"Expected {% token\");\n        expect(TOKEN_TYPES.EndIf, \"Expected endif token\");\n        expect(TOKEN_TYPES.CloseStatement, \"Expected %} token\");\n        break;\n      case TOKEN_TYPES.For:\n        ++current;\n        result = parseForStatement();\n        expect(TOKEN_TYPES.OpenStatement, \"Expected {% token\");\n        expect(TOKEN_TYPES.EndFor, \"Expected endfor token\");\n        expect(TOKEN_TYPES.CloseStatement, \"Expected %} token\");\n        break;\n      default:\n        throw new SyntaxError(`Unknown statement type: ${tokens[current].type}`);\n    }\n    return result;\n  }\n  function parseJinjaExpression() {\n    expect(TOKEN_TYPES.OpenExpression, \"Expected opening expression token\");\n    const result = parseExpression();\n    expect(TOKEN_TYPES.CloseExpression, \"Expected closing expression token\");\n    return result;\n  }\n  function parseSetStatement() {\n    const left = parseExpression();\n    if (is(TOKEN_TYPES.Equals)) {\n      ++current;\n      const value = parseSetStatement();\n      return new SetStatement(left, value);\n    }\n    return left;\n  }\n  function parseIfStatement() {\n    const test = parseExpression();\n    expect(TOKEN_TYPES.CloseStatement, \"Expected closing statement token\");\n    const body = [];\n    const alternate = [];\n    while (!(tokens[current]?.type === TOKEN_TYPES.OpenStatement && (tokens[current + 1]?.type === TOKEN_TYPES.ElseIf || tokens[current + 1]?.type === TOKEN_TYPES.Else || tokens[current + 1]?.type === TOKEN_TYPES.EndIf))) {\n      body.push(parseAny());\n    }\n    if (tokens[current]?.type === TOKEN_TYPES.OpenStatement && tokens[current + 1]?.type !== TOKEN_TYPES.EndIf) {\n      ++current;\n      if (is(TOKEN_TYPES.ElseIf)) {\n        expect(TOKEN_TYPES.ElseIf, \"Expected elseif token\");\n        alternate.push(parseIfStatement());\n      } else {\n        expect(TOKEN_TYPES.Else, \"Expected else token\");\n        expect(TOKEN_TYPES.CloseStatement, \"Expected closing statement token\");\n        while (!(tokens[current]?.type === TOKEN_TYPES.OpenStatement && tokens[current + 1]?.type === TOKEN_TYPES.EndIf)) {\n          alternate.push(parseAny());\n        }\n      }\n    }\n    return new If(test, body, alternate);\n  }\n  function parseExpressionSequence(primary = false) {\n    const fn = primary ? parsePrimaryExpression : parseExpression;\n    const expressions = [fn()];\n    const isTuple = is(TOKEN_TYPES.Comma);\n    while (isTuple) {\n      ++current;\n      expressions.push(fn());\n      if (!is(TOKEN_TYPES.Comma)) {\n        break;\n      }\n    }\n    return isTuple ? new TupleLiteral(expressions) : expressions[0];\n  }\n  function parseForStatement() {\n    const loopVariable = parseExpressionSequence(true);\n    if (!(loopVariable instanceof Identifier || loopVariable instanceof TupleLiteral)) {\n      throw new SyntaxError(`Expected identifier/tuple for the loop variable, got ${loopVariable.type} instead`);\n    }\n    expect(TOKEN_TYPES.In, \"Expected `in` keyword following loop variable\");\n    const iterable = parseExpression();\n    expect(TOKEN_TYPES.CloseStatement, \"Expected closing statement token\");\n    const body = [];\n    while (not(TOKEN_TYPES.OpenStatement, TOKEN_TYPES.EndFor)) {\n      body.push(parseAny());\n    }\n    return new For(loopVariable, iterable, body);\n  }\n  function parseExpression() {\n    return parseTernaryExpression();\n  }\n  function parseTernaryExpression() {\n    const a = parseLogicalOrExpression();\n    if (is(TOKEN_TYPES.If)) {\n      ++current;\n      const predicate = parseLogicalOrExpression();\n      expect(TOKEN_TYPES.Else, \"Expected else token\");\n      const b = parseLogicalOrExpression();\n      return new If(predicate, [a], [b]);\n    }\n    return a;\n  }\n  function parseLogicalOrExpression() {\n    let left = parseLogicalAndExpression();\n    while (is(TOKEN_TYPES.Or)) {\n      const operator = tokens[current];\n      ++current;\n      const right = parseLogicalAndExpression();\n      left = new BinaryExpression(operator, left, right);\n    }\n    return left;\n  }\n  function parseLogicalAndExpression() {\n    let left = parseLogicalNegationExpression();\n    while (is(TOKEN_TYPES.And)) {\n      const operator = tokens[current];\n      ++current;\n      const right = parseLogicalNegationExpression();\n      left = new BinaryExpression(operator, left, right);\n    }\n    return left;\n  }\n  function parseLogicalNegationExpression() {\n    let right;\n    while (is(TOKEN_TYPES.Not)) {\n      const operator = tokens[current];\n      ++current;\n      const arg = parseLogicalNegationExpression();\n      right = new UnaryExpression(operator, arg);\n    }\n    return right ?? parseComparisonExpression();\n  }\n  function parseComparisonExpression() {\n    let left = parseAdditiveExpression();\n    while (is(TOKEN_TYPES.ComparisonBinaryOperator) || is(TOKEN_TYPES.In) || is(TOKEN_TYPES.NotIn)) {\n      const operator = tokens[current];\n      ++current;\n      const right = parseAdditiveExpression();\n      left = new BinaryExpression(operator, left, right);\n    }\n    return left;\n  }\n  function parseAdditiveExpression() {\n    let left = parseMultiplicativeExpression();\n    while (is(TOKEN_TYPES.AdditiveBinaryOperator)) {\n      const operator = tokens[current];\n      ++current;\n      const right = parseMultiplicativeExpression();\n      left = new BinaryExpression(operator, left, right);\n    }\n    return left;\n  }\n  function parseCallMemberExpression() {\n    const member = parseMemberExpression();\n    if (is(TOKEN_TYPES.OpenParen)) {\n      return parseCallExpression(member);\n    }\n    return member;\n  }\n  function parseCallExpression(callee) {\n    let callExpression = new CallExpression(callee, parseArgs());\n    if (is(TOKEN_TYPES.OpenParen)) {\n      callExpression = parseCallExpression(callExpression);\n    }\n    return callExpression;\n  }\n  function parseArgs() {\n    expect(TOKEN_TYPES.OpenParen, \"Expected opening parenthesis for arguments list\");\n    const args = parseArgumentsList();\n    expect(TOKEN_TYPES.CloseParen, \"Expected closing parenthesis for arguments list\");\n    return args;\n  }\n  function parseArgumentsList() {\n    const args = [];\n    while (!is(TOKEN_TYPES.CloseParen)) {\n      let argument = parseExpression();\n      if (is(TOKEN_TYPES.Equals)) {\n        ++current;\n        if (!(argument instanceof Identifier)) {\n          throw new SyntaxError(`Expected identifier for keyword argument`);\n        }\n        const value = parseExpression();\n        argument = new KeywordArgumentExpression(argument, value);\n      }\n      args.push(argument);\n      if (is(TOKEN_TYPES.Comma)) {\n        ++current;\n      }\n    }\n    return args;\n  }\n  function parseMemberExpressionArgumentsList() {\n    const slices = [];\n    let isSlice = false;\n    while (!is(TOKEN_TYPES.CloseSquareBracket)) {\n      if (is(TOKEN_TYPES.Colon)) {\n        slices.push(void 0);\n        ++current;\n        isSlice = true;\n      } else {\n        slices.push(parseExpression());\n        if (is(TOKEN_TYPES.Colon)) {\n          ++current;\n          isSlice = true;\n        }\n      }\n    }\n    if (slices.length === 0) {\n      throw new SyntaxError(`Expected at least one argument for member/slice expression`);\n    }\n    if (isSlice) {\n      if (slices.length > 3) {\n        throw new SyntaxError(`Expected 0-3 arguments for slice expression`);\n      }\n      return new SliceExpression(...slices);\n    }\n    return slices[0];\n  }\n  function parseMemberExpression() {\n    let object = parsePrimaryExpression();\n    while (is(TOKEN_TYPES.Dot) || is(TOKEN_TYPES.OpenSquareBracket)) {\n      const operator = tokens[current];\n      ++current;\n      let property;\n      const computed = operator.type !== TOKEN_TYPES.Dot;\n      if (computed) {\n        property = parseMemberExpressionArgumentsList();\n        expect(TOKEN_TYPES.CloseSquareBracket, \"Expected closing square bracket\");\n      } else {\n        property = parsePrimaryExpression();\n        if (property.type !== \"Identifier\") {\n          throw new SyntaxError(`Expected identifier following dot operator`);\n        }\n      }\n      object = new MemberExpression(object, property, computed);\n    }\n    return object;\n  }\n  function parseMultiplicativeExpression() {\n    let left = parseTestExpression();\n    while (is(TOKEN_TYPES.MultiplicativeBinaryOperator)) {\n      const operator = tokens[current];\n      ++current;\n      const right = parseTestExpression();\n      left = new BinaryExpression(operator, left, right);\n    }\n    return left;\n  }\n  function parseTestExpression() {\n    let operand = parseFilterExpression();\n    while (is(TOKEN_TYPES.Is)) {\n      ++current;\n      const negate = is(TOKEN_TYPES.Not);\n      if (negate) {\n        ++current;\n      }\n      let filter = parsePrimaryExpression();\n      if (filter instanceof BooleanLiteral) {\n        filter = new Identifier(filter.value.toString());\n      }\n      if (!(filter instanceof Identifier)) {\n        throw new SyntaxError(`Expected identifier for the test`);\n      }\n      operand = new TestExpression(operand, negate, filter);\n    }\n    return operand;\n  }\n  function parseFilterExpression() {\n    let operand = parseCallMemberExpression();\n    while (is(TOKEN_TYPES.Pipe)) {\n      ++current;\n      let filter = parsePrimaryExpression();\n      if (!(filter instanceof Identifier)) {\n        throw new SyntaxError(`Expected identifier for the filter`);\n      }\n      if (is(TOKEN_TYPES.OpenParen)) {\n        filter = parseCallExpression(filter);\n      }\n      operand = new FilterExpression(operand, filter);\n    }\n    return operand;\n  }\n  function parsePrimaryExpression() {\n    const token = tokens[current];\n    switch (token.type) {\n      case TOKEN_TYPES.NumericLiteral:\n        ++current;\n        return new NumericLiteral(Number(token.value));\n      case TOKEN_TYPES.StringLiteral:\n        ++current;\n        return new StringLiteral(token.value);\n      case TOKEN_TYPES.BooleanLiteral:\n        ++current;\n        return new BooleanLiteral(token.value === \"true\");\n      case TOKEN_TYPES.Identifier:\n        ++current;\n        return new Identifier(token.value);\n      case TOKEN_TYPES.OpenParen: {\n        ++current;\n        const expression = parseExpressionSequence();\n        if (tokens[current].type !== TOKEN_TYPES.CloseParen) {\n          throw new SyntaxError(`Expected closing parenthesis, got ${tokens[current].type} instead`);\n        }\n        ++current;\n        return expression;\n      }\n      case TOKEN_TYPES.OpenSquareBracket: {\n        ++current;\n        const values = [];\n        while (!is(TOKEN_TYPES.CloseSquareBracket)) {\n          values.push(parseExpression());\n          if (is(TOKEN_TYPES.Comma)) {\n            ++current;\n          }\n        }\n        ++current;\n        return new ArrayLiteral(values);\n      }\n      case TOKEN_TYPES.OpenCurlyBracket: {\n        ++current;\n        const values = /* @__PURE__ */ new Map();\n        while (!is(TOKEN_TYPES.CloseCurlyBracket)) {\n          const key = parseExpression();\n          expect(TOKEN_TYPES.Colon, \"Expected colon between key and value in object literal\");\n          const value = parseExpression();\n          values.set(key, value);\n          if (is(TOKEN_TYPES.Comma)) {\n            ++current;\n          }\n        }\n        ++current;\n        return new ObjectLiteral(values);\n      }\n      default:\n        throw new SyntaxError(`Unexpected token: ${token.type}`);\n    }\n  }\n  while (current < tokens.length) {\n    program.body.push(parseAny());\n  }\n  return program;\n}\n\n// src/utils.ts\nfunction range(start, stop, step = 1) {\n  if (stop === void 0) {\n    stop = start;\n    start = 0;\n  }\n  const result = [];\n  for (let i = start; i < stop; i += step) {\n    result.push(i);\n  }\n  return result;\n}\nfunction slice(array, start, stop, step = 1) {\n  const direction = Math.sign(step);\n  if (direction >= 0) {\n    start = (start ??= 0) < 0 ? Math.max(array.length + start, 0) : Math.min(start, array.length);\n    stop = (stop ??= array.length) < 0 ? Math.max(array.length + stop, 0) : Math.min(stop, array.length);\n  } else {\n    start = (start ??= array.length - 1) < 0 ? Math.max(array.length + start, -1) : Math.min(start, array.length - 1);\n    stop = (stop ??= -1) < -1 ? Math.max(array.length + stop, -1) : Math.min(stop, array.length - 1);\n  }\n  const result = [];\n  for (let i = start; direction * i < direction * stop; i += step) {\n    result.push(array[i]);\n  }\n  return result;\n}\nfunction titleCase(value) {\n  return value.replace(/\\b\\w/g, (c) => c.toUpperCase());\n}\n\n// src/runtime.ts\nvar RuntimeValue = class {\n  type = \"RuntimeValue\";\n  value;\n  /**\n   * A collection of built-in functions for this type.\n   */\n  builtins = /* @__PURE__ */ new Map();\n  /**\n   * Creates a new RuntimeValue.\n   */\n  constructor(value = void 0) {\n    this.value = value;\n  }\n  /**\n   * Determines truthiness or falsiness of the runtime value.\n   * This function should be overridden by subclasses if it has custom truthiness criteria.\n   * @returns {BooleanValue} BooleanValue(true) if the value is truthy, BooleanValue(false) otherwise.\n   */\n  __bool__() {\n    return new BooleanValue(!!this.value);\n  }\n};\nvar NumericValue = class extends RuntimeValue {\n  type = \"NumericValue\";\n};\nvar StringValue = class extends RuntimeValue {\n  type = \"StringValue\";\n  builtins = /* @__PURE__ */ new Map([\n    [\n      \"upper\",\n      new FunctionValue(() => {\n        return new StringValue(this.value.toUpperCase());\n      })\n    ],\n    [\n      \"lower\",\n      new FunctionValue(() => {\n        return new StringValue(this.value.toLowerCase());\n      })\n    ],\n    [\n      \"strip\",\n      new FunctionValue(() => {\n        return new StringValue(this.value.trim());\n      })\n    ],\n    [\n      \"title\",\n      new FunctionValue(() => {\n        return new StringValue(titleCase(this.value));\n      })\n    ],\n    [\"length\", new NumericValue(this.value.length)]\n  ]);\n};\nvar BooleanValue = class extends RuntimeValue {\n  type = \"BooleanValue\";\n};\nvar ObjectValue = class extends RuntimeValue {\n  type = \"ObjectValue\";\n  /**\n   * NOTE: necessary to override since all JavaScript arrays are considered truthy,\n   * while only non-empty Python arrays are consider truthy.\n   *\n   * e.g.,\n   *  - JavaScript:  {} && 5 -> 5\n   *  - Python:      {} and 5 -> {}\n   */\n  __bool__() {\n    return new BooleanValue(this.value.size > 0);\n  }\n  builtins = /* @__PURE__ */ new Map([\n    [\n      \"get\",\n      new FunctionValue(([key, defaultValue]) => {\n        if (!(key instanceof StringValue)) {\n          throw new Error(`Object key must be a string: got ${key.type}`);\n        }\n        return this.value.get(key.value) ?? defaultValue ?? new NullValue();\n      })\n    ],\n    [\n      \"items\",\n      new FunctionValue(() => {\n        return new ArrayValue(\n          Array.from(this.value.entries()).map(([key, value]) => new ArrayValue([new StringValue(key), value]))\n        );\n      })\n    ]\n  ]);\n};\nvar ArrayValue = class extends RuntimeValue {\n  type = \"ArrayValue\";\n  builtins = /* @__PURE__ */ new Map([[\"length\", new NumericValue(this.value.length)]]);\n  /**\n   * NOTE: necessary to override since all JavaScript arrays are considered truthy,\n   * while only non-empty Python arrays are consider truthy.\n   *\n   * e.g.,\n   *  - JavaScript:  [] && 5 -> 5\n   *  - Python:      [] and 5 -> []\n   */\n  __bool__() {\n    return new BooleanValue(this.value.length > 0);\n  }\n};\nvar TupleValue = class extends ArrayValue {\n  type = \"TupleValue\";\n};\nvar FunctionValue = class extends RuntimeValue {\n  type = \"FunctionValue\";\n};\nvar NullValue = class extends RuntimeValue {\n  type = \"NullValue\";\n};\nvar UndefinedValue = class extends RuntimeValue {\n  type = \"UndefinedValue\";\n};\nvar Environment = class {\n  constructor(parent) {\n    this.parent = parent;\n  }\n  /**\n   * The variables declared in this environment.\n   */\n  variables = /* @__PURE__ */ new Map([\n    [\n      \"namespace\",\n      new FunctionValue((args) => {\n        if (args.length === 0) {\n          return new ObjectValue(/* @__PURE__ */ new Map());\n        }\n        if (args.length !== 1 || !(args[0] instanceof ObjectValue)) {\n          throw new Error(\"`namespace` expects either zero arguments or a single object argument\");\n        }\n        return args[0];\n      })\n    ]\n  ]);\n  /**\n   * The tests available in this environment.\n   */\n  tests = /* @__PURE__ */ new Map([\n    [\"boolean\", (operand) => operand.type === \"BooleanValue\"],\n    [\"callable\", (operand) => operand instanceof FunctionValue],\n    [\n      \"odd\",\n      (operand) => {\n        if (operand.type !== \"NumericValue\") {\n          throw new Error(`Cannot apply test \"odd\" to type: ${operand.type}`);\n        }\n        return operand.value % 2 !== 0;\n      }\n    ],\n    [\n      \"even\",\n      (operand) => {\n        if (operand.type !== \"NumericValue\") {\n          throw new Error(`Cannot apply test \"even\" to type: ${operand.type}`);\n        }\n        return operand.value % 2 === 0;\n      }\n    ],\n    [\"false\", (operand) => operand.type === \"BooleanValue\" && !operand.value],\n    [\"true\", (operand) => operand.type === \"BooleanValue\" && operand.value],\n    [\"number\", (operand) => operand.type === \"NumericValue\"],\n    [\"integer\", (operand) => operand.type === \"NumericValue\" && Number.isInteger(operand.value)],\n    [\"iterable\", (operand) => operand instanceof ArrayValue || operand instanceof StringValue],\n    [\n      \"lower\",\n      (operand) => {\n        const str = operand.value;\n        return operand.type === \"StringValue\" && str === str.toLowerCase();\n      }\n    ],\n    [\n      \"upper\",\n      (operand) => {\n        const str = operand.value;\n        return operand.type === \"StringValue\" && str === str.toUpperCase();\n      }\n    ],\n    [\"none\", (operand) => operand.type === \"NullValue\"],\n    [\"defined\", (operand) => operand.type !== \"UndefinedValue\"],\n    [\"undefined\", (operand) => operand.type === \"UndefinedValue\"],\n    [\"equalto\", (a, b) => a.value === b.value]\n  ]);\n  /**\n   * Set the value of a variable in the current environment.\n   */\n  set(name, value) {\n    return this.declareVariable(name, convertToRuntimeValues(value));\n  }\n  declareVariable(name, value) {\n    if (this.variables.has(name)) {\n      throw new SyntaxError(`Variable already declared: ${name}`);\n    }\n    this.variables.set(name, value);\n    return value;\n  }\n  // private assignVariable(name: string, value: AnyRuntimeValue): AnyRuntimeValue {\n  // \tconst env = this.resolve(name);\n  // \tenv.variables.set(name, value);\n  // \treturn value;\n  // }\n  /**\n   * Set variable in the current scope.\n   * See https://jinja.palletsprojects.com/en/3.0.x/templates/#assignments for more information.\n   */\n  setVariable(name, value) {\n    this.variables.set(name, value);\n    return value;\n  }\n  /**\n   * Resolve the environment in which the variable is declared.\n   * @param {string} name The name of the variable.\n   * @returns {Environment} The environment in which the variable is declared.\n   */\n  resolve(name) {\n    if (this.variables.has(name)) {\n      return this;\n    }\n    if (this.parent) {\n      return this.parent.resolve(name);\n    }\n    throw new Error(`Unknown variable: ${name}`);\n  }\n  lookupVariable(name) {\n    try {\n      return this.resolve(name).variables.get(name) ?? new UndefinedValue();\n    } catch {\n      return new UndefinedValue();\n    }\n  }\n};\nvar Interpreter = class {\n  global;\n  constructor(env) {\n    this.global = env ?? new Environment();\n  }\n  /**\n   * Run the program.\n   */\n  run(program) {\n    return this.evaluate(program, this.global);\n  }\n  /**\n   * Evaluates expressions following the binary operation type.\n   */\n  evaluateBinaryExpression(node, environment) {\n    const left = this.evaluate(node.left, environment);\n    switch (node.operator.value) {\n      case \"and\":\n        return left.__bool__().value ? this.evaluate(node.right, environment) : left;\n      case \"or\":\n        return left.__bool__().value ? left : this.evaluate(node.right, environment);\n    }\n    const right = this.evaluate(node.right, environment);\n    switch (node.operator.value) {\n      case \"==\":\n        return new BooleanValue(left.value == right.value);\n      case \"!=\":\n        return new BooleanValue(left.value != right.value);\n    }\n    if (left instanceof UndefinedValue || right instanceof UndefinedValue) {\n      throw new Error(\"Cannot perform operation on undefined values\");\n    } else if (left instanceof NullValue || right instanceof NullValue) {\n      throw new Error(\"Cannot perform operation on null values\");\n    } else if (left instanceof NumericValue && right instanceof NumericValue) {\n      switch (node.operator.value) {\n        case \"+\":\n          return new NumericValue(left.value + right.value);\n        case \"-\":\n          return new NumericValue(left.value - right.value);\n        case \"*\":\n          return new NumericValue(left.value * right.value);\n        case \"/\":\n          return new NumericValue(left.value / right.value);\n        case \"%\":\n          return new NumericValue(left.value % right.value);\n        case \"<\":\n          return new BooleanValue(left.value < right.value);\n        case \">\":\n          return new BooleanValue(left.value > right.value);\n        case \">=\":\n          return new BooleanValue(left.value >= right.value);\n        case \"<=\":\n          return new BooleanValue(left.value <= right.value);\n      }\n    } else if (left instanceof ArrayValue && right instanceof ArrayValue) {\n      switch (node.operator.value) {\n        case \"+\":\n          return new ArrayValue(left.value.concat(right.value));\n      }\n    } else if (right instanceof ArrayValue) {\n      const member = right.value.find((x) => x.value === left.value) !== void 0;\n      switch (node.operator.value) {\n        case \"in\":\n          return new BooleanValue(member);\n        case \"not in\":\n          return new BooleanValue(!member);\n      }\n    }\n    if (left instanceof StringValue || right instanceof StringValue) {\n      switch (node.operator.value) {\n        case \"+\":\n          return new StringValue(left.value.toString() + right.value.toString());\n      }\n    }\n    if (left instanceof StringValue && right instanceof StringValue) {\n      switch (node.operator.value) {\n        case \"in\":\n          return new BooleanValue(right.value.includes(left.value));\n        case \"not in\":\n          return new BooleanValue(!right.value.includes(left.value));\n      }\n    }\n    if (left instanceof StringValue && right instanceof ObjectValue) {\n      switch (node.operator.value) {\n        case \"in\":\n          return new BooleanValue(right.value.has(left.value));\n        case \"not in\":\n          return new BooleanValue(!right.value.has(left.value));\n      }\n    }\n    throw new SyntaxError(`Unknown operator \"${node.operator.value}\" between ${left.type} and ${right.type}`);\n  }\n  /**\n   * Evaluates expressions following the filter operation type.\n   */\n  evaluateFilterExpression(node, environment) {\n    const operand = this.evaluate(node.operand, environment);\n    if (node.filter.type === \"Identifier\") {\n      const filter = node.filter;\n      if (operand instanceof ArrayValue) {\n        switch (filter.value) {\n          case \"list\":\n            return operand;\n          case \"first\":\n            return operand.value[0];\n          case \"last\":\n            return operand.value[operand.value.length - 1];\n          case \"length\":\n            return new NumericValue(operand.value.length);\n          case \"reverse\":\n            return new ArrayValue(operand.value.reverse());\n          case \"sort\":\n            return new ArrayValue(\n              operand.value.sort((a, b) => {\n                if (a.type !== b.type) {\n                  throw new Error(`Cannot compare different types: ${a.type} and ${b.type}`);\n                }\n                switch (a.type) {\n                  case \"NumericValue\":\n                    return a.value - b.value;\n                  case \"StringValue\":\n                    return a.value.localeCompare(b.value);\n                  default:\n                    throw new Error(`Cannot compare type: ${a.type}`);\n                }\n              })\n            );\n          default:\n            throw new Error(`Unknown ArrayValue filter: ${filter.value}`);\n        }\n      } else if (operand instanceof StringValue) {\n        switch (filter.value) {\n          case \"length\":\n            return new NumericValue(operand.value.length);\n          case \"upper\":\n            return new StringValue(operand.value.toUpperCase());\n          case \"lower\":\n            return new StringValue(operand.value.toLowerCase());\n          case \"title\":\n            return new StringValue(titleCase(operand.value));\n          case \"capitalize\":\n            return new StringValue(operand.value.charAt(0).toUpperCase() + operand.value.slice(1));\n          case \"trim\":\n            return new StringValue(operand.value.trim());\n          default:\n            throw new Error(`Unknown StringValue filter: ${filter.value}`);\n        }\n      } else if (operand instanceof NumericValue) {\n        switch (filter.value) {\n          case \"abs\":\n            return new NumericValue(Math.abs(operand.value));\n          default:\n            throw new Error(`Unknown NumericValue filter: ${filter.value}`);\n        }\n      } else if (operand instanceof ObjectValue) {\n        switch (filter.value) {\n          case \"items\":\n            return new ArrayValue(\n              Array.from(operand.value.entries()).map(([key, value]) => new ArrayValue([new StringValue(key), value]))\n            );\n          case \"length\":\n            return new NumericValue(operand.value.size);\n          default:\n            throw new Error(`Unknown ObjectValue filter: ${filter.value}`);\n        }\n      }\n      throw new Error(`Cannot apply filter \"${filter.value}\" to type: ${operand.type}`);\n    } else if (node.filter.type === \"CallExpression\") {\n      const filter = node.filter;\n      if (filter.callee.type !== \"Identifier\") {\n        throw new Error(`Unknown filter: ${filter.callee.type}`);\n      }\n      const filterName = filter.callee.value;\n      if (operand instanceof ArrayValue) {\n        switch (filterName) {\n          case \"selectattr\": {\n            if (operand.value.some((x) => !(x instanceof ObjectValue))) {\n              throw new Error(\"`selectattr` can only be applied to array of objects\");\n            }\n            if (filter.args.some((x) => x.type !== \"StringLiteral\")) {\n              throw new Error(\"arguments of `selectattr` must be strings\");\n            }\n            const [attr, testName, value] = filter.args.map((x) => this.evaluate(x, environment));\n            let testFunction;\n            if (testName) {\n              const test = environment.tests.get(testName.value);\n              if (!test) {\n                throw new Error(`Unknown test: ${testName.value}`);\n              }\n              testFunction = test;\n            } else {\n              testFunction = (...x) => x[0].__bool__().value;\n            }\n            const filtered = operand.value.filter((item) => {\n              const a = item.value.get(attr.value);\n              if (a) {\n                return testFunction(a, value);\n              }\n              return false;\n            });\n            return new ArrayValue(filtered);\n          }\n        }\n        throw new Error(`Unknown ArrayValue filter: ${filterName}`);\n      } else {\n        throw new Error(`Cannot apply filter \"${filterName}\" to type: ${operand.type}`);\n      }\n    }\n    throw new Error(`Unknown filter: ${node.filter.type}`);\n  }\n  /**\n   * Evaluates expressions following the test operation type.\n   */\n  evaluateTestExpression(node, environment) {\n    const operand = this.evaluate(node.operand, environment);\n    const test = environment.tests.get(node.test.value);\n    if (!test) {\n      throw new Error(`Unknown test: ${node.test.value}`);\n    }\n    const result = test(operand);\n    return new BooleanValue(node.negate ? !result : result);\n  }\n  /**\n   * Evaluates expressions following the unary operation type.\n   */\n  evaluateUnaryExpression(node, environment) {\n    const argument = this.evaluate(node.argument, environment);\n    switch (node.operator.value) {\n      case \"not\":\n        return new BooleanValue(!argument.value);\n      default:\n        throw new SyntaxError(`Unknown operator: ${node.operator.value}`);\n    }\n  }\n  evalProgram(program, environment) {\n    return this.evaluateBlock(program.body, environment);\n  }\n  evaluateBlock(statements, environment) {\n    let result = \"\";\n    for (const statement of statements) {\n      const lastEvaluated = this.evaluate(statement, environment);\n      if (lastEvaluated.type !== \"NullValue\" && lastEvaluated.type !== \"UndefinedValue\") {\n        result += lastEvaluated.value;\n      }\n    }\n    return new StringValue(result);\n  }\n  evaluateIdentifier(node, environment) {\n    return environment.lookupVariable(node.value);\n  }\n  evaluateCallExpression(expr, environment) {\n    const args = [];\n    const kwargs = /* @__PURE__ */ new Map();\n    for (const argument of expr.args) {\n      if (argument.type === \"KeywordArgumentExpression\") {\n        const kwarg = argument;\n        kwargs.set(kwarg.key.value, this.evaluate(kwarg.value, environment));\n      } else {\n        args.push(this.evaluate(argument, environment));\n      }\n    }\n    if (kwargs.size > 0) {\n      args.push(new ObjectValue(kwargs));\n    }\n    const fn = this.evaluate(expr.callee, environment);\n    if (fn.type !== \"FunctionValue\") {\n      throw new Error(`Cannot call something that is not a function: got ${fn.type}`);\n    }\n    return fn.value(args, environment);\n  }\n  evaluateSliceExpression(object, expr, environment) {\n    if (!(object instanceof ArrayValue || object instanceof StringValue)) {\n      throw new Error(\"Slice object must be an array or string\");\n    }\n    const start = this.evaluate(expr.start, environment);\n    const stop = this.evaluate(expr.stop, environment);\n    const step = this.evaluate(expr.step, environment);\n    if (!(start instanceof NumericValue || start instanceof UndefinedValue)) {\n      throw new Error(\"Slice start must be numeric or undefined\");\n    }\n    if (!(stop instanceof NumericValue || stop instanceof UndefinedValue)) {\n      throw new Error(\"Slice stop must be numeric or undefined\");\n    }\n    if (!(step instanceof NumericValue || step instanceof UndefinedValue)) {\n      throw new Error(\"Slice step must be numeric or undefined\");\n    }\n    if (object instanceof ArrayValue) {\n      return new ArrayValue(slice(object.value, start.value, stop.value, step.value));\n    } else {\n      return new StringValue(slice(Array.from(object.value), start.value, stop.value, step.value).join(\"\"));\n    }\n  }\n  evaluateMemberExpression(expr, environment) {\n    const object = this.evaluate(expr.object, environment);\n    let property;\n    if (expr.computed) {\n      if (expr.property.type === \"SliceExpression\") {\n        return this.evaluateSliceExpression(object, expr.property, environment);\n      } else {\n        property = this.evaluate(expr.property, environment);\n      }\n    } else {\n      property = new StringValue(expr.property.value);\n    }\n    let value;\n    if (object instanceof ObjectValue) {\n      if (!(property instanceof StringValue)) {\n        throw new Error(`Cannot access property with non-string: got ${property.type}`);\n      }\n      value = object.value.get(property.value) ?? object.builtins.get(property.value);\n    } else if (object instanceof ArrayValue || object instanceof StringValue) {\n      if (property instanceof NumericValue) {\n        value = object.value.at(property.value);\n        if (object instanceof StringValue) {\n          value = new StringValue(object.value.at(property.value));\n        }\n      } else if (property instanceof StringValue) {\n        value = object.builtins.get(property.value);\n      } else {\n        throw new Error(`Cannot access property with non-string/non-number: got ${property.type}`);\n      }\n    } else {\n      if (!(property instanceof StringValue)) {\n        throw new Error(`Cannot access property with non-string: got ${property.type}`);\n      }\n      value = object.builtins.get(property.value);\n    }\n    return value instanceof RuntimeValue ? value : new UndefinedValue();\n  }\n  evaluateSet(node, environment) {\n    const rhs = this.evaluate(node.value, environment);\n    if (node.assignee.type === \"Identifier\") {\n      const variableName = node.assignee.value;\n      environment.setVariable(variableName, rhs);\n    } else if (node.assignee.type === \"MemberExpression\") {\n      const member = node.assignee;\n      const object = this.evaluate(member.object, environment);\n      if (!(object instanceof ObjectValue)) {\n        throw new Error(\"Cannot assign to member of non-object\");\n      }\n      if (member.property.type !== \"Identifier\") {\n        throw new Error(\"Cannot assign to member with non-identifier property\");\n      }\n      object.value.set(member.property.value, rhs);\n    } else {\n      throw new Error(`Invalid LHS inside assignment expression: ${JSON.stringify(node.assignee)}`);\n    }\n    return new NullValue();\n  }\n  evaluateIf(node, environment) {\n    const test = this.evaluate(node.test, environment);\n    return this.evaluateBlock(test.__bool__().value ? node.body : node.alternate, environment);\n  }\n  evaluateFor(node, environment) {\n    const scope = new Environment(environment);\n    const iterable = this.evaluate(node.iterable, scope);\n    if (!(iterable instanceof ArrayValue)) {\n      throw new Error(`Expected iterable type in for loop: got ${iterable.type}`);\n    }\n    let result = \"\";\n    for (let i = 0; i < iterable.value.length; ++i) {\n      const loop = /* @__PURE__ */ new Map([\n        [\"index\", new NumericValue(i + 1)],\n        [\"index0\", new NumericValue(i)],\n        [\"revindex\", new NumericValue(iterable.value.length - i)],\n        [\"revindex0\", new NumericValue(iterable.value.length - i - 1)],\n        [\"first\", new BooleanValue(i === 0)],\n        [\"last\", new BooleanValue(i === iterable.value.length - 1)],\n        [\"length\", new NumericValue(iterable.value.length)],\n        [\"previtem\", i > 0 ? iterable.value[i - 1] : new UndefinedValue()],\n        [\"nextitem\", i < iterable.value.length - 1 ? iterable.value[i + 1] : new UndefinedValue()]\n      ]);\n      scope.setVariable(\"loop\", new ObjectValue(loop));\n      const current = iterable.value[i];\n      if (node.loopvar.type === \"Identifier\") {\n        scope.setVariable(node.loopvar.value, current);\n      } else if (node.loopvar.type === \"TupleLiteral\") {\n        const loopvar = node.loopvar;\n        if (current.type !== \"ArrayValue\") {\n          throw new Error(`Cannot unpack non-iterable type: ${current.type}`);\n        }\n        const c = current;\n        if (loopvar.value.length !== c.value.length) {\n          throw new Error(`Too ${loopvar.value.length > c.value.length ? \"few\" : \"many\"} items to unpack`);\n        }\n        for (let j = 0; j < loopvar.value.length; ++j) {\n          if (loopvar.value[j].type !== \"Identifier\") {\n            throw new Error(`Cannot unpack non-identifier type: ${loopvar.value[j].type}`);\n          }\n          scope.setVariable(loopvar.value[j].value, c.value[j]);\n        }\n      }\n      const evaluated = this.evaluateBlock(node.body, scope);\n      result += evaluated.value;\n    }\n    return new StringValue(result);\n  }\n  evaluate(statement, environment) {\n    if (statement === void 0)\n      return new UndefinedValue();\n    switch (statement.type) {\n      case \"Program\":\n        return this.evalProgram(statement, environment);\n      case \"Set\":\n        return this.evaluateSet(statement, environment);\n      case \"If\":\n        return this.evaluateIf(statement, environment);\n      case \"For\":\n        return this.evaluateFor(statement, environment);\n      case \"NumericLiteral\":\n        return new NumericValue(Number(statement.value));\n      case \"StringLiteral\":\n        return new StringValue(statement.value);\n      case \"BooleanLiteral\":\n        return new BooleanValue(statement.value);\n      case \"ArrayLiteral\":\n        return new ArrayValue(statement.value.map((x) => this.evaluate(x, environment)));\n      case \"TupleLiteral\":\n        return new TupleValue(statement.value.map((x) => this.evaluate(x, environment)));\n      case \"ObjectLiteral\": {\n        const mapping = /* @__PURE__ */ new Map();\n        for (const [key, value] of statement.value) {\n          const evaluatedKey = this.evaluate(key, environment);\n          if (!(evaluatedKey instanceof StringValue)) {\n            throw new Error(`Object keys must be strings: got ${evaluatedKey.type}`);\n          }\n          mapping.set(evaluatedKey.value, this.evaluate(value, environment));\n        }\n        return new ObjectValue(mapping);\n      }\n      case \"Identifier\":\n        return this.evaluateIdentifier(statement, environment);\n      case \"CallExpression\":\n        return this.evaluateCallExpression(statement, environment);\n      case \"MemberExpression\":\n        return this.evaluateMemberExpression(statement, environment);\n      case \"UnaryExpression\":\n        return this.evaluateUnaryExpression(statement, environment);\n      case \"BinaryExpression\":\n        return this.evaluateBinaryExpression(statement, environment);\n      case \"FilterExpression\":\n        return this.evaluateFilterExpression(statement, environment);\n      case \"TestExpression\":\n        return this.evaluateTestExpression(statement, environment);\n      default:\n        throw new SyntaxError(`Unknown node type: ${statement.type}`);\n    }\n  }\n};\nfunction convertToRuntimeValues(input) {\n  switch (typeof input) {\n    case \"number\":\n      return new NumericValue(input);\n    case \"string\":\n      return new StringValue(input);\n    case \"boolean\":\n      return new BooleanValue(input);\n    case \"object\":\n      if (input === null) {\n        return new NullValue();\n      } else if (Array.isArray(input)) {\n        return new ArrayValue(input.map(convertToRuntimeValues));\n      } else {\n        return new ObjectValue(\n          new Map(Object.entries(input).map(([key, value]) => [key, convertToRuntimeValues(value)]))\n        );\n      }\n    case \"function\":\n      return new FunctionValue((args, _scope) => {\n        const result = input(...args.map((x) => x.value)) ?? null;\n        return convertToRuntimeValues(result);\n      });\n    default:\n      throw new Error(`Cannot convert to runtime value: ${input}`);\n  }\n}\n\n// src/index.ts\nvar Template = class {\n  parsed;\n  /**\n   * @param {string} template The template string\n   */\n  constructor(template) {\n    const tokens = tokenize(template, {\n      lstrip_blocks: true,\n      trim_blocks: true\n    });\n    this.parsed = parse(tokens);\n  }\n  render(items) {\n    const env = new Environment();\n    env.set(\"false\", false);\n    env.set(\"true\", true);\n    env.set(\"raise_exception\", (args) => {\n      throw new Error(args);\n    });\n    env.set(\"range\", range);\n    for (const [key, value] of Object.entries(items)) {\n      env.set(key, value);\n    }\n    const interpreter = new Interpreter(env);\n    const result = interpreter.run(this.parsed);\n    return result.value;\n  }\n};\nexport {\n  Environment,\n  Interpreter,\n  Template,\n  parse,\n  tokenize\n};\n","\n/**\n * @file Tokenizers are used to prepare textual inputs for a model.\n * \n * **Example:** Create an `AutoTokenizer` and use it to tokenize a sentence.\n * This will automatically detect the tokenizer type based on the tokenizer class defined in `tokenizer.json`.\n * ```javascript\n * import { AutoTokenizer } from '@xenova/transformers';\n * \n * const tokenizer = await AutoTokenizer.from_pretrained('Xenova/bert-base-uncased');\n * const { input_ids } = await tokenizer('I love transformers!');\n * // Tensor {\n * //   data: BigInt64Array(6) [101n, 1045n, 2293n, 19081n, 999n, 102n],\n * //   dims: [1, 6],\n * //   type: 'int64',\n * //   size: 6,\n * // }\n * ```\n * \n * @module tokenizers\n */\n\nimport {\n    Callable,\n    reverseDictionary,\n    escapeRegExp,\n    isIntegralNumber,\n    mergeArrays,\n} from './utils/core.js';\n\nimport {\n    getModelJSON,\n} from './utils/hub.js';\n\nimport { max, min, round } from './utils/maths.js';\nimport { Tensor } from './utils/tensor.js';\n\nimport {\n    PriorityQueue,\n    TokenLattice,\n    CharTrie,\n} from './utils/data-structures.js';\n\nimport { Template } from '@huggingface/jinja';\n\n\n/**\n * @typedef {Object} TokenizerProperties Additional tokenizer-specific properties.\n * @property {boolean} [legacy=false] Whether or not the `legacy` behavior of the tokenizer should be used.\n * @typedef {import('./utils/hub.js').PretrainedOptions & TokenizerProperties} PretrainedTokenizerOptions\n */\n\n/**\n * Loads a tokenizer from the specified path.\n * @param {string} pretrained_model_name_or_path The path to the tokenizer directory.\n * @param {PretrainedTokenizerOptions} options Additional options for loading the tokenizer.\n * @returns {Promise<any[]>} A promise that resolves with information about the loaded tokenizer.\n */\nasync function loadTokenizer(pretrained_model_name_or_path, options) {\n\n    const info = await Promise.all([\n        getModelJSON(pretrained_model_name_or_path, 'tokenizer.json', true, options),\n        getModelJSON(pretrained_model_name_or_path, 'tokenizer_config.json', true, options),\n    ])\n\n    // Override legacy option if `options.legacy` is not null\n    if (options.legacy !== null) {\n        info[1].legacy = options.legacy;\n    }\n    return info;\n}\n\n\n/**\n * Helper function to split a string on a regex, but keep the delimiters.\n * This is required, because the JavaScript `.split()` method does not keep the delimiters,\n * and wrapping in a capturing group causes issues with existing capturing groups (due to nesting).\n * @param {string} text The text to split.\n * @param {RegExp} regex The regex to split on.\n * @returns {string[]} The split string.\n */\nfunction regexSplit(text, regex) {\n    const result = [];\n    let prev = 0;\n    for (const match of text.matchAll(regex)) {\n        const fullMatch = match[0];\n        if (prev < match.index) {\n            result.push(text.slice(prev, match.index));\n        }\n        if (fullMatch.length > 0) {\n            result.push(fullMatch);\n        }\n        prev = match.index + fullMatch.length;\n    }\n    if (prev < text.length) {\n        result.push(text.slice(prev));\n    }\n    return result;\n}\n\n\n/**\n * Helper method to construct a pattern from a config object.\n * @param {Object} pattern The pattern object.\n * @param {boolean} invert Whether to invert the pattern.\n * @returns {RegExp|null} The compiled pattern.\n */\nfunction createPattern(pattern, invert = true) {\n\n    if (pattern.Regex !== undefined) {\n        // In certain cases, the pattern may contain unnecessary escape sequences (e.g., \\# or \\& or \\~).\n        // i.e., valid in Python (where the patterns are exported from) but invalid in JavaScript (where the patterns are parsed).\n        // This isn't an issue when creating the regex w/o the 'u' flag, but it is when the 'u' flag is used.\n        // For this reason, it is necessary to remove these backslashes before creating the regex.\n        // See https://stackoverflow.com/a/63007777/13989043 for more information\n        let regex = pattern.Regex.replace(/\\\\([#&~])/g, '$1'); // TODO: add more characters to this list if necessary\n\n        // We also handle special cases where the regex contains invalid (non-JS compatible) syntax.\n        for (const [key, value] of PROBLEMATIC_REGEX_MAP) {\n            regex = regex.replaceAll(key, value);\n        }\n\n        return new RegExp(regex, 'gu');\n\n    } else if (pattern.String !== undefined) {\n        const escaped = escapeRegExp(pattern.String);\n        // NOTE: if invert is true, we wrap the pattern in a group so that it is kept when performing .split()\n        return new RegExp(invert ? escaped : `(${escaped})`, 'gu');\n\n    } else {\n        console.warn('Unknown pattern type:', pattern)\n        return null;\n    }\n}\n\n/**\n * Helper function to convert an Object to a Map\n * @param {Object} obj The object to convert.\n * @returns {Map<string, any>} The map.\n */\nfunction objectToMap(obj) {\n    return new Map(Object.entries(obj));\n}\n\n/**\n * Helper function to convert a tensor to a list before decoding.\n * @param {Tensor} tensor The tensor to convert.\n * @returns {number[]} The tensor as a list.\n */\nfunction prepareTensorForDecode(tensor) {\n    const dims = tensor.dims;\n    switch (dims.length) {\n        case 1:\n            return tensor.tolist();\n        case 2:\n            if (dims[0] !== 1) {\n                throw new Error('Unable to decode tensor with `batch size !== 1`. Use `tokenizer.batch_decode(...)` for batched inputs.');\n            }\n            return tensor.tolist()[0];\n        default:\n            throw new Error(`Expected tensor to have 1-2 dimensions, got ${dims.length}.`)\n    }\n}\n\n/**\n * Clean up a list of simple English tokenization artifacts like spaces before punctuations and abbreviated forms\n * @param {string} text The text to clean up.\n * @returns {string} The cleaned up text.\n */\nfunction clean_up_tokenization(text) {\n    // Clean up a list of simple English tokenization artifacts\n    // like spaces before punctuations and abbreviated forms\n    return text.replace(/ \\./g, '.')\n        .replace(/ \\?/g, '?')\n        .replace(/ \\!/g, '!')\n        .replace(/ ,/g, ',')\n        .replace(/ \\' /g, \"'\")\n        .replace(/ n\\'t/g, \"n't\")\n        .replace(/ \\'m/g, \"'m\")\n        .replace(/ \\'s/g, \"'s\")\n        .replace(/ \\'ve/g, \"'ve\")\n        .replace(/ \\'re/g, \"'re\");\n}\n\n/**\n * Helper function to remove accents from a string.\n * @param {string} text The text to remove accents from.\n * @returns {string} The text with accents removed.\n */\nfunction remove_accents(text) {\n    return text.replace(/[\\u0300-\\u036f]/g, '');\n}\n\n/**\n * Helper function to lowercase a string and remove accents.\n * @param {string} text The text to lowercase and remove accents from.\n * @returns {string} The lowercased text with accents removed.\n */\nfunction lowercase_and_remove_accent(text) {\n    return remove_accents(text.toLowerCase());\n}\n\n/**\n * Helper function to fuse consecutive values in an array equal to the specified value.\n * @param {string[]} arr The input array\n * @param {any} value The value to fuse on.\n * @param {Map<string, any>} mapping The mapping from input domain to value.\n */\nfunction fuse(arr, value, mapping) {\n    const fused = [];\n    let i = 0;\n    while (i < arr.length) {\n        fused.push(arr[i])\n        if ((mapping.get(arr[i]) ?? value) !== value) {\n            ++i;\n            continue;\n        }\n\n        while (i < arr.length && (mapping.get(arr[i]) ?? value) === value) {\n            ++i;\n        }\n    }\n\n    return fused;\n}\n\n/**\n * Split a string on whitespace.\n * @param {string} text The text to split.\n * @returns {string[]} The split string.\n */\nfunction whitespace_split(text) {\n    return text.match(/\\S+/g) || [];\n}\n\nconst PUNCTUATION_REGEX = '\\\\p{P}\\\\u0021-\\\\u002F\\\\u003A-\\\\u0040\\\\u005B-\\\\u0060\\\\u007B-\\\\u007E';\n\n// A mapping of regex patterns to their equivalent (but longer) JS-compatible versions.\nconst PROBLEMATIC_REGEX_MAP = new Map([\n    // This uses the case insensitive group modifier, which is not supported in JavaScript.\n    // When parsing the regex, an \"Invalid group\" error is thrown.\n    [\"(?i:'s|'t|'re|'ve|'m|'ll|'d)\", \"(?:'([sS]|[tT]|[rR][eE]|[vV][eE]|[mM]|[lL][lL]|[dD]))\"],\n])\n\n\n/**\n * Represent a token added by the user on top of the existing Model vocabulary.\n * AddedToken can be configured to specify the behavior they should have in various situations like:\n *   - Whether they should only match single words\n *   - Whether to include any whitespace on its left or right\n */\nclass AddedToken {\n    /**\n     * Creates a new instance of AddedToken.\n     * @param {Object} config Added token configuration object.\n     * @param {string} config.content The content of the added token.\n     * @param {number} config.id The id of the added token.\n     * @param {boolean} [config.single_word=false] Whether this token must be a single word or can break words.\n     * @param {boolean} [config.lstrip=false] Whether this token should strip whitespaces on its left.\n     * @param {boolean} [config.rstrip=false] Whether this token should strip whitespaces on its right.\n     * @param {boolean} [config.normalized=false] Whether this token should be normalized.\n     * @param {boolean} [config.special=false] Whether this token is special.\n     */\n    constructor(config) {\n        this.content = config.content;\n        this.id = config.id;\n        this.single_word = config.single_word ?? false;\n        this.lstrip = config.lstrip ?? false;\n        this.rstrip = config.rstrip ?? false;\n        this.special = config.special ?? false;\n        this.normalized = config.normalized ?? null;\n    }\n}\n\n/**\n * Abstract base class for tokenizer models.\n *\n * @extends Callable\n */\nexport class TokenizerModel extends Callable {\n    /**\n     * Creates a new instance of TokenizerModel.\n     * @param {Object} config The configuration object for the TokenizerModel.\n     */\n    constructor(config) {\n        super();\n        this.config = config;\n\n        /** @type {string[]} */\n        this.vocab = [];\n\n        /**\n         * A mapping of tokens to ids.\n         * @type {Map<string, number>}\n         */\n        this.tokens_to_ids = new Map();\n\n        this.unk_token_id = undefined;\n        this.unk_token = undefined;\n        this.end_of_word_suffix = undefined;\n\n        /** @type {boolean} Whether to fuse unknown tokens when encoding. Defaults to false. */\n        this.fuse_unk = this.config.fuse_unk ?? false;\n    }\n\n    /**\n     * Instantiates a new TokenizerModel instance based on the configuration object provided.\n     * @param {Object} config The configuration object for the TokenizerModel.\n     * @param {...*} args Optional arguments to pass to the specific TokenizerModel constructor.\n     * @returns {TokenizerModel} A new instance of a TokenizerModel.\n     * @throws Will throw an error if the TokenizerModel type in the config is not recognized.\n     */\n    static fromConfig(config, ...args) {\n        switch (config.type) {\n            case 'WordPiece':\n                return new WordPieceTokenizer(config);\n            case 'Unigram':\n                // @ts-ignore\n                return new Unigram(config, ...args);\n\n            case 'BPE':\n                return new BPE(config);\n\n            default:\n                if (config.vocab) {\n                    // @ts-ignore\n                    return new LegacyTokenizerModel(config, ...args);\n                }\n                throw new Error(`Unknown TokenizerModel type: ${config.type}`);\n        }\n    }\n\n    /**\n     * Internal function to call the TokenizerModel instance.\n     * @param {string[]} tokens The tokens to encode.\n     * @returns {string[]} The encoded token IDs.\n     */\n    _call(tokens) {\n        let ids = this.encode(tokens);\n        if (this.fuse_unk) {\n            // Fuse unknown tokens\n            ids = fuse(ids, this.unk_token_id, this.tokens_to_ids);\n        }\n        return ids;\n    }\n\n    /**\n     * Encodes a list of tokens into a list of token IDs.\n     * @param {string[]} tokens The tokens to encode.\n     * @returns {string[]} The encoded tokens.\n     * @throws Will throw an error if not implemented in a subclass.\n     */\n    encode(tokens) {\n        throw Error(\"encode should be implemented in subclass.\")\n    }\n\n    /**\n     * Converts a list of tokens into a list of token IDs.\n     * @param {string[]} tokens The tokens to convert.\n     * @returns {number[]} The converted token IDs.\n     */\n    convert_tokens_to_ids(tokens) {\n        return tokens.map(t => this.tokens_to_ids.get(t) ?? this.unk_token_id);\n    }\n\n    /**\n     * Converts a list of token IDs into a list of tokens.\n     * @param {number[]} ids The token IDs to convert.\n     * @returns {string[]} The converted tokens.\n     */\n    convert_ids_to_tokens(ids) {\n        return ids.map(i => this.vocab[i] ?? this.unk_token);\n    }\n}\n\n/**\n * A subclass of TokenizerModel that uses WordPiece encoding to encode tokens.\n * @extends TokenizerModel\n */\nclass WordPieceTokenizer extends TokenizerModel {\n    /**\n     * @param {Object} config The configuration object.\n     * @param {Object} config.vocab A mapping of tokens to ids.\n     * @param {string} config.unk_token The unknown token string.\n     * @param {string} config.continuing_subword_prefix The prefix to use for continuing subwords.\n     * @param {number} [config.max_input_chars_per_word=100] The maximum number of characters per word.\n     */\n    constructor(config) {\n        super(config);\n        /**\n         * A mapping of tokens to ids.\n         * @type {Map<string, number>}\n         */\n        this.tokens_to_ids = objectToMap(config.vocab);\n\n        /**\n         * The id of the unknown token.\n         * @type {number}\n         */\n        this.unk_token_id = this.tokens_to_ids.get(config.unk_token);\n\n        /**\n         * The unknown token string.\n         * @type {string}\n         */\n        this.unk_token = config.unk_token;\n\n        /**\n         * The maximum number of characters allowed per word.\n         * @type {number}\n         */\n        this.max_input_chars_per_word = config.max_input_chars_per_word ?? 100;\n\n        /**\n         * An array of tokens.\n         * @type {string[]}\n         */\n        this.vocab = new Array(this.tokens_to_ids.size);\n        for (const [key, value] of this.tokens_to_ids) {\n            this.vocab[value] = key;\n        }\n    }\n\n    /**\n     * Encodes an array of tokens using WordPiece encoding.\n     * @param {string[]} tokens The tokens to encode.\n     * @returns {string[]} An array of encoded tokens.\n     */\n    encode(tokens) {\n        const outputTokens = [];\n        for (const token of tokens) {\n            const chars = [...token];\n            if (chars.length > this.max_input_chars_per_word) {\n                outputTokens.push(this.unk_token);\n                continue;\n            }\n\n            let isUnknown = false;\n            let start = 0;\n            const subTokens = [];\n\n            while (start < chars.length) {\n                let end = chars.length;\n                let currentSubstring = null;\n                while (start < end) {\n                    let substr = chars.slice(start, end).join('');\n\n                    if (start > 0) {\n                        substr = this.config.continuing_subword_prefix + substr;\n                    }\n                    if (this.tokens_to_ids.has(substr)) {\n                        currentSubstring = substr;\n                        break;\n                    }\n\n                    --end;\n                }\n                if (currentSubstring === null) {\n                    isUnknown = true;\n                    break;\n                }\n                subTokens.push(currentSubstring);\n                start = end;\n            }\n            if (isUnknown) {\n                outputTokens.push(this.unk_token);\n            } else {\n                outputTokens.push(...subTokens);\n            }\n        }\n\n        return outputTokens;\n    }\n\n}\n\n/**\n * Class representing a Unigram tokenizer model.\n * @extends TokenizerModel\n */\nclass Unigram extends TokenizerModel {\n    /**\n     * Create a new Unigram tokenizer model.\n     * @param {Object} config The configuration object for the Unigram model.\n     * @param {number} config.unk_id The ID of the unknown token\n     * @param {any[][]} config.vocab A 2D array representing a mapping of tokens to scores.\n     * @param {Object} moreConfig Additional configuration object for the Unigram model.\n     */\n    constructor(config, moreConfig) {\n        super(config);\n\n        const vocabSize = config.vocab.length;\n        this.vocab = new Array(vocabSize);\n        this.scores = new Array(vocabSize);\n        for (let i = 0; i < vocabSize; ++i) {\n            const piece = config.vocab[i];\n            this.vocab[i] = piece[0];\n            this.scores[i] = piece[1];\n        }\n\n        this.unk_token_id = config.unk_id;\n        this.unk_token = this.vocab[config.unk_id];\n\n        this.tokens_to_ids = new Map(this.vocab.map((x, i) => [x, i]));\n        this.bosToken = ' '; // beginning of a sentence token\n\n        this.bosTokenId = this.tokens_to_ids.get(this.bosToken); // NOTE: may be undefined\n        this.eosToken = moreConfig.eos_token;\n\n        this.eosTokenId = this.tokens_to_ids.get(this.eosToken);\n        this.unkToken = this.vocab[this.unk_token_id];\n\n        this.minScore = min(this.scores)[0];\n\n        this.unkScore = this.minScore - 10.0;\n        this.scores[this.unk_token_id] = this.unkScore;\n\n        this.trie = new CharTrie();\n        this.trie.extend(this.vocab);\n\n        // NOTE: `fuse_unk` is hardcoded to true for Unigram models\n        // See: https://github.com/huggingface/tokenizers/blob/b58227c7f1ccf8b73ee2268354336da56d91e492/tokenizers/src/models/unigram/model.rs#L119\n        this.fuse_unk = true;\n    }\n\n    /**\n     * Populates lattice nodes.\n     * @param {TokenLattice} lattice The token lattice to populate with nodes.\n     */\n    populateNodes(lattice) {\n        const sentence = lattice.sentence;\n        const len = sentence.length;\n        let beginPos = 0;\n        while (beginPos < len) {\n            const mblen = 1;\n            let hasSingleNode = false;\n            const tokens = [];\n\n            for (let token of this.trie.commonPrefixSearch(sentence.slice(beginPos))) {\n                tokens.push(token);\n                const tokenId = this.tokens_to_ids.get(token);\n                const tokenScore = this.scores[tokenId];\n                const n = token.length;\n                lattice.insert(beginPos, n, tokenScore, tokenId);\n                if (!hasSingleNode && n === mblen) {\n                    hasSingleNode = true;\n                }\n            }\n            if (!hasSingleNode) {\n                lattice.insert(beginPos, mblen, this.unkScore, this.unk_token_id);\n            }\n            beginPos += mblen;\n        }\n    }\n\n    /**\n     * Encodes an array of tokens into an array of subtokens using the unigram model.\n     *\n     * @param {string} normalized The normalized string.\n     * @returns {string[]} An array of subtokens obtained by encoding the input tokens using the unigram model.\n     */\n    tokenize(normalized) {\n        const lattice = new TokenLattice(normalized, this.bosTokenId, this.eosTokenId);\n        this.populateNodes(lattice);\n        return lattice.tokens();\n    }\n\n    /**\n     * Encodes an array of tokens using Unigram encoding.\n     * @param {string[]} tokens The tokens to encode.\n     * @returns {string[]} An array of encoded tokens.\n     */\n    encode(tokens) {\n        const toReturn = [];\n        for (const token of tokens) {\n            const tokenized = this.tokenize(token);\n            toReturn.push(...tokenized);\n        }\n        return toReturn;\n    }\n\n}\n\n/**\n * Returns list of utf-8 byte and a mapping to unicode strings.\n * Specifically avoids mapping to whitespace/control characters the BPE code barfs on.\n * @returns {Object} Object with utf-8 byte keys and unicode string values.\n */\nconst BYTES_TO_UNICODE = (() => {\n    // Returns list of utf-8 byte and a mapping to unicode strings.\n    // We specifically avoids mapping to whitespace/control characters\n    // the bpe code barfs on.\n\n    const bs = [\n        ...Array.from({ length: \"~\".charCodeAt(0) - \"!\".charCodeAt(0) + 1 }, (_, i) => i + \"!\".charCodeAt(0)),\n        ...Array.from({ length: \"¬\".charCodeAt(0) - \"¡\".charCodeAt(0) + 1 }, (_, i) => i + \"¡\".charCodeAt(0)),\n        ...Array.from({ length: \"ÿ\".charCodeAt(0) - \"®\".charCodeAt(0) + 1 }, (_, i) => i + \"®\".charCodeAt(0)),\n    ];\n    const cs = bs.slice();\n    let n = 0;\n    for (let b = 0; b < 256; ++b) {\n        if (!bs.includes(b)) {\n            bs.push(b);\n            cs.push(256 + n);\n            n += 1;\n        }\n    }\n    const ccs = cs.map(n => String.fromCharCode(n));\n    return Object.fromEntries(bs.map((b, i) => [b, ccs[i]]));\n})();\n\nconst UNICODE_TO_BYTES = reverseDictionary(BYTES_TO_UNICODE);\n\n\n/**\n * @typedef {Object} BPENode\n * @property {string} token The token associated with the node\n * @property {number} bias A positional bias for the node.\n * @property {number} [score] The score of the node.\n * @property {BPENode} [prev] The previous node in the linked list.\n * @property {BPENode} [next] The next node in the linked list.\n */\n\n/**\n * BPE class for encoding text into Byte-Pair-Encoding (BPE) tokens.\n * @extends TokenizerModel\n */\nclass BPE extends TokenizerModel {\n    /**\n     * Create a BPE instance.\n     * @param {Object} config The configuration object for BPE.\n     * @param {Object} config.vocab A mapping of tokens to ids.\n     * @param {string[]} config.merges An array of BPE merges as strings.\n     * @param {string} config.unk_token The unknown token used for out of vocabulary words.\n     * @param {string} config.end_of_word_suffix The suffix to place at the end of each word.\n     * @param {string} [config.continuing_subword_suffix] The suffix to insert between words.\n     * @param {boolean} [config.byte_fallback=false] Whether to use spm byte-fallback trick (defaults to False)\n     * @param {boolean} [config.ignore_merges=false] Whether or not to match tokens with the vocab before using merges.\n     */\n    constructor(config) {\n        super(config);\n\n        this.BPE_SPLIT_TOKEN = ' ';\n\n        /** @type {Map<string, number>} */\n        this.tokens_to_ids = objectToMap(config.vocab);\n\n        this.unk_token_id = this.tokens_to_ids.get(config.unk_token);\n        this.unk_token = config.unk_token;\n\n        this.vocab = new Array(this.tokens_to_ids.size);\n        for (const [key, value] of this.tokens_to_ids) {\n            this.vocab[value] = key;\n        }\n\n        this.bpe_ranks = new Map(config.merges.map((x, i) => [x, i]));\n        this.merges = config.merges.map(x => x.split(this.BPE_SPLIT_TOKEN));\n\n        this.end_of_word_suffix = config.end_of_word_suffix;\n\n        // NOTE: `continuing_subword_suffix` is custom (to support `BlenderbotSmallTokenizer`)\n        this.continuing_subword_suffix = config.continuing_subword_suffix ?? null;\n\n        this.byte_fallback = this.config.byte_fallback ?? false;\n\n        if (this.byte_fallback) {\n            this.text_encoder = new TextEncoder();\n        }\n\n        this.ignore_merges = this.config.ignore_merges ?? false;\n\n        /** @type {Map<string, string[]>} */\n        this.cache = new Map();\n    }\n\n    /**\n     * Apply Byte-Pair-Encoding (BPE) to a given token. Efficient heap-based priority\n     * queue implementation adapted from https://github.com/belladoreai/llama-tokenizer-js.\n     * @param {string} token The token to encode.\n     * @returns {string[]} The BPE encoded tokens.\n     */\n    bpe(token) {\n        if (token.length === 0) {\n            return [];\n        }\n\n        const cached = this.cache.get(token);\n        if (cached !== undefined) {\n            return cached;\n        }\n\n        const word = Array.from(token);\n        if (this.end_of_word_suffix) {\n            word[word.length - 1] += this.end_of_word_suffix;\n        }\n\n        let result = [];\n        if (word.length > 1) {\n            // Create a priority queue to store the nodes that will be merged.\n            // The comparator function compares the scores of the nodes.\n            const queue = new PriorityQueue((a, b) => a.score < b.score);\n\n            // Construct a doubly-linked list of nodes that will be inserted into the priority queue,\n            // starting with the individual characters. We also populate each node with a positional\n            // bias to break ties in the priority queue.\n            let startingNode = {\n                token: word[0],\n                bias: 0,\n                prev: null,\n                next: null,\n            }\n\n            let previousNode = startingNode\n            for (let i = 1; i < word.length; ++i) {\n                const currentNode = {\n                    bias: i / word.length, // Add fractional component to break ties\n                    token: word[i],\n                    prev: previousNode,\n                    next: null,\n                }\n                previousNode.next = currentNode\n                this._add_node(queue, previousNode)\n                previousNode = currentNode\n            }\n\n            while (!queue.isEmpty()) {\n                // Get the next node with the highest priority\n                const node = queue.pop();\n\n                // Check that this merge is still possible\n                if (node.deleted || !node.next || node.next.deleted) continue;\n\n                // Here, we mark the current node (left side of the merge) and the next node (right side of the merge) as deleted.\n                // This is because they will both be replaced by a new node representing the merge result.\n                node.deleted = true;\n                node.next.deleted = true;\n\n                // Next, we fix the node that comes before the current node (i.e., left side of the merge).\n                if (node.prev) {\n\n                    // Make a shallow copy of the previous node\n                    const newPreviousNode = { ...node.prev };\n\n                    // Mark the old previous node as deleted. This avoids erroneous merges later,\n                    // because there may still be references to this node in the priority queue.\n                    node.prev.deleted = true;\n                    node.prev = newPreviousNode;\n\n                    // Update the reference of the previous node, by pointing its previous node to this new previous node.\n                    if (newPreviousNode.prev) {\n                        newPreviousNode.prev.next = newPreviousNode;\n                    } else {\n                        // If the previous of the previous node does not exist, it means that\n                        // `newPreviousNode` must be the new `startingNode`.\n                        startingNode = newPreviousNode;\n                    }\n                }\n\n                // Create a new node which represents the result of the merge.\n                const merged = {\n                    token: node.token + node.next.token,\n                    bias: node.bias,\n                    prev: node.prev,\n                    next: node.next.next,\n                }\n\n                // We now consider where we can add the new merged node to the priority queue:\n                // 1. prev <-> merged\n                if (merged.prev) {\n                    merged.prev.next = merged;\n                    this._add_node(queue, merged.prev);\n                } else {\n                    // If `merged.prev` does not exist, then `merged` must be the new `startingNode`.\n                    startingNode = merged;\n                }\n\n                // 2. merged <-> next\n                if (merged.next) {\n                    merged.next.prev = merged;\n                    this._add_node(queue, merged);\n                }\n            }\n\n            // Traverse the linked list, starting from the `startingNode`, and collect the tokens.\n            for (let currentNode = startingNode; currentNode !== null; currentNode = currentNode.next) {\n                result.push(currentNode.token);\n            }\n        } else {\n            result = word;\n        }\n\n        // Possibly append suffix\n        if (this.continuing_subword_suffix) {\n            // Do not append suffix to the last token\n            for (let i = 0; i < result.length - 1; ++i) {\n                result[i] += this.continuing_subword_suffix;\n            }\n        }\n\n        // Save the result to the cache\n        this.cache.set(token, result);\n\n        return result;\n    }\n\n\n    /**\n     * Helper function to add a node to the priority queue.\n     * @param {PriorityQueue} queue \n     * @param {BPENode} node\n     * @private\n     */\n    _add_node(queue, node) {\n        // `score` is a measure of the merge priority: lower means higher priority\n        // We use the BPE rank as a measure of priority (i.e., the local of the merge in the merges list)\n        // We also add a fractional component to the score to break ties (with the earlier character having higher priority)\n        const rank = this.bpe_ranks.get(node.token + this.BPE_SPLIT_TOKEN + node.next.token);\n        if (rank !== undefined) {\n            node.score = rank + node.bias;\n            queue.push(node);\n        }\n    }\n\n    /**\n     * Encodes the input sequence of tokens using the BPE algorithm and returns the resulting subword tokens.\n     * @param {string[]} tokens The input sequence of tokens to encode.\n     * @returns {string[]} The resulting subword tokens after applying the BPE algorithm to the input sequence of tokens.\n     */\n    encode(tokens) {\n        const outputTokens = [];\n\n        for (const token of tokens) {\n            if (this.ignore_merges && this.tokens_to_ids.has(token)) {\n                outputTokens.push(token);\n                continue;\n            }\n            const bpe_token_list = this.bpe(token);\n\n            for (const t of bpe_token_list) {\n                if (this.tokens_to_ids.has(t)) {\n                    outputTokens.push(t);\n                } else {\n                    if (this.byte_fallback) {\n                        outputTokens.push(\n                            ...Array.from(this.text_encoder.encode(t))\n                                .map(x => `<0x${x.toString(16).toUpperCase().padStart(2, '0')}>`)\n                        );\n                    } else {\n                        outputTokens.push(this.unk_token);\n                    }\n                }\n            }\n        }\n\n        return outputTokens;\n    }\n\n}\n\n/**\n * Legacy tokenizer class for tokenizers with only a vocabulary.\n */\nclass LegacyTokenizerModel extends TokenizerModel {\n    /**\n     * Create a LegacyTokenizerModel instance.\n     * @param {Object} config The configuration object for LegacyTokenizerModel.\n     * @param {Object} config.vocab A (possibly nested) mapping of tokens to ids.\n     * @param {Object} moreConfig Additional configuration object for the LegacyTokenizerModel model.\n     */\n    constructor(config, moreConfig) {\n        super(config);\n\n        /**@type {Map<string, number>} */\n        this.tokens_to_ids = objectToMap(\n            moreConfig.target_lang\n                ? config.vocab[moreConfig.target_lang]\n                : config.vocab\n        );\n\n        this.bos_token = moreConfig.bos_token;\n        this.bos_token_id = this.tokens_to_ids.get(this.bos_token);\n\n        this.eos_token = moreConfig.eos_token;\n        this.eos_token_id = this.tokens_to_ids.get(this.eos_token);\n\n        this.pad_token = moreConfig.pad_token;\n        this.pad_token_id = this.tokens_to_ids.get(this.pad_token);\n\n        this.unk_token = moreConfig.unk_token;\n        this.unk_token_id = this.tokens_to_ids.get(this.unk_token);\n\n        this.vocab = new Array(this.tokens_to_ids.size);\n        for (const [key, value] of this.tokens_to_ids) {\n            this.vocab[value] = key;\n        }\n    }\n\n    encode(tokens) {\n        return tokens;\n    }\n}\n\n\n/**\n * A base class for text normalization.\n * @abstract\n */\nclass Normalizer extends Callable {\n    /**\n     * @param {Object} config The configuration object for the normalizer.\n     */\n    constructor(config) {\n        super();\n        this.config = config;\n    }\n\n    /**\n     * Factory method for creating normalizers from config objects.\n     * @static\n     * @param {Object} config The configuration object for the normalizer.\n     * @returns {Normalizer} A Normalizer object.\n     * @throws {Error} If an unknown Normalizer type is specified in the config.\n     */\n    static fromConfig(config) {\n        if (config === null) return null;\n        switch (config.type) {\n            case 'BertNormalizer':\n                return new BertNormalizer(config);\n            case 'Precompiled':\n                return new Precompiled(config);\n            case 'Sequence':\n                return new NormalizerSequence(config);\n            case 'Replace':\n                return new Replace(config);\n            case 'NFC':\n                return new NFC(config);\n            case 'NFKC':\n                return new NFKC(config);\n            case 'NFKD':\n                return new NFKD(config);\n            case 'Strip':\n                return new StripNormalizer(config);\n            case 'StripAccents':\n                return new StripAccents(config);\n            case 'Lowercase':\n                return new Lowercase(config);\n            case 'Prepend':\n                return new Prepend(config);\n            default:\n                throw new Error(`Unknown Normalizer type: ${config.type}`);\n        }\n    }\n\n    /**\n     * Normalize the input text.\n     * @abstract\n     * @param {string} text The text to normalize.\n     * @returns {string} The normalized text.\n     * @throws {Error} If this method is not implemented in a subclass.\n     */\n    normalize(text) {\n        throw Error(\"normalize should be implemented in subclass.\")\n    }\n\n    /**\n     * Alias for {@link Normalizer#normalize}.\n     * @param {string} text The text to normalize.\n     * @returns {string} The normalized text.\n     */\n    _call(text) {\n        return this.normalize(text);\n    }\n\n}\n\n/**\n * Replace normalizer that replaces occurrences of a pattern with a given string or regular expression.\n * @extends Normalizer\n */\nclass Replace extends Normalizer {\n    /**\n     * Normalize the input text by replacing the pattern with the content.\n     * @param {string} text The input text to be normalized.\n     * @returns {string} The normalized text after replacing the pattern with the content.\n     */\n    normalize(text) {\n        const pattern = createPattern(this.config.pattern);\n        return pattern === null\n            ? text\n            : text.replaceAll(pattern, this.config.content);\n    }\n}\n\n/**\n * A normalizer that applies Unicode normalization form C (NFC) to the input text.\n * @extends Normalizer\n */\nclass NFC extends Normalizer {\n    /**\n     * Normalize the input text by applying Unicode normalization form C (NFC).\n     * @param {string} text The input text to be normalized.\n     * @returns {string} The normalized text.\n     */\n    normalize(text) {\n        text = text.normalize('NFC')\n        return text;\n    }\n}\n\n/**\n * NFKC Normalizer.\n * @extends Normalizer\n */\nclass NFKC extends Normalizer {\n    /**\n     * Normalize text using NFKC normalization.\n     * @param {string} text The text to be normalized.\n     * @returns {string} The normalized text.\n     */\n    normalize(text) {\n        text = text.normalize('NFKC')\n        return text;\n    }\n}\n/**\n * NFKD Normalizer.\n * @extends Normalizer\n */\nclass NFKD extends Normalizer {\n    /**\n     * Normalize text using NFKD normalization.\n     * @param {string} text The text to be normalized.\n     * @returns {string} The normalized text.\n     */\n    normalize(text) {\n        text = text.normalize('NFKD')\n        return text;\n    }\n}\n\n/**\n * A normalizer that strips leading and/or trailing whitespace from the input text.\n */\nclass StripNormalizer extends Normalizer {\n    /**\n     * Strip leading and/or trailing whitespace from the input text.\n     * @param {string} text The input text.\n     * @returns {string} The normalized text.\n     */\n    normalize(text) {\n        if (this.config.strip_left && this.config.strip_right) {\n            // Fast path to avoid an extra trim call\n            text = text.trim();\n        } else {\n            if (this.config.strip_left) {\n                text = text.trimStart();\n            }\n            if (this.config.strip_right) {\n                text = text.trimEnd();\n            }\n        }\n        return text;\n    }\n}\n\n/**\n * StripAccents normalizer removes all accents from the text.\n * @extends Normalizer\n */\nclass StripAccents extends Normalizer {\n    /**\n     * Remove all accents from the text.\n     * @param {string} text The input text.\n     * @returns {string} The normalized text without accents.\n     */\n    normalize(text) {\n        text = remove_accents(text);\n        return text;\n    }\n}\n\n/**\n * A Normalizer that lowercases the input string.\n * @extends Normalizer\n */\nclass Lowercase extends Normalizer {\n    /**\n     * Lowercases the input string.\n     * @param {string} text The text to normalize.\n     * @returns {string} The normalized text.\n     */\n    normalize(text) {\n        text = text.toLowerCase();\n        return text;\n    }\n}\n\n/**\n * A Normalizer that prepends a string to the input string.\n * @extends Normalizer\n */\nclass Prepend extends Normalizer {\n    /**\n     * Prepends the input string.\n     * @param {string} text The text to normalize.\n     * @returns {string} The normalized text.\n     */\n    normalize(text) {\n        text = this.config.prepend + text;\n        return text;\n    }\n}\n\n/**\n * A Normalizer that applies a sequence of Normalizers.\n * @extends Normalizer\n */\nclass NormalizerSequence extends Normalizer {\n    /**\n   * Create a new instance of NormalizerSequence.\n   * @param {Object} config The configuration object.\n   * @param {Object[]} config.normalizers An array of Normalizer configuration objects.\n   */\n    constructor(config) {\n        super(config);\n        this.normalizers = config.normalizers.map(x => Normalizer.fromConfig(x));\n    }\n    /**\n    * Apply a sequence of Normalizers to the input text.\n    * @param {string} text The text to normalize.\n    * @returns {string} The normalized text.\n    */\n    normalize(text) {\n        return this.normalizers.reduce((t, normalizer) => {\n            return normalizer.normalize(t);\n        }, text);\n    }\n}\n\n/**\n * A class representing a normalizer used in BERT tokenization.\n * @extends Normalizer\n */\nclass BertNormalizer extends Normalizer {\n    /**\n     * Adds whitespace around any CJK (Chinese, Japanese, or Korean) character in the input text.\n     *\n     * @param {string} text The input text to tokenize.\n     * @returns {string} The tokenized text with whitespace added around CJK characters.\n     */\n    _tokenize_chinese_chars(text) {\n        /* Adds whitespace around any CJK character. */\n        const output = [];\n        for (let i = 0; i < text.length; ++i) {\n            const char = text[i];\n            const cp = char.charCodeAt(0);\n            if (this._is_chinese_char(cp)) {\n                output.push(\" \");\n                output.push(char);\n                output.push(\" \");\n            } else {\n                output.push(char);\n            }\n        }\n        return output.join(\"\");\n    }\n\n    /**\n     * Checks whether the given Unicode codepoint represents a CJK (Chinese, Japanese, or Korean) character.\n     *\n     * A \"chinese character\" is defined as anything in the CJK Unicode block:\n     * https://en.wikipedia.org/wiki/CJK_Unified_Ideographs_(Unicode_block)\n     *\n     * Note that the CJK Unicode block is NOT all Japanese and Korean characters, despite its name.\n     * The modern Korean Hangul alphabet is a different block, as is Japanese Hiragana and Katakana.\n     * Those alphabets are used to write space-separated words, so they are not treated specially\n     * and are handled like all other languages.\n     *\n     * @param {number} cp The Unicode codepoint to check.\n     * @returns {boolean} True if the codepoint represents a CJK character, false otherwise.\n     */\n    _is_chinese_char(cp) {\n        return (\n            (cp >= 0x4E00 && cp <= 0x9FFF)\n            || (cp >= 0x3400 && cp <= 0x4DBF)\n            || (cp >= 0x20000 && cp <= 0x2A6DF)\n            || (cp >= 0x2A700 && cp <= 0x2B73F)\n            || (cp >= 0x2B740 && cp <= 0x2B81F)\n            || (cp >= 0x2B820 && cp <= 0x2CEAF)\n            || (cp >= 0xF900 && cp <= 0xFAFF)\n            || (cp >= 0x2F800 && cp <= 0x2FA1F)\n        )\n    }\n    /**\n     * Strips accents from the given text.\n     * @param {string} text The text to strip accents from.\n     * @returns {string} The text with accents removed.\n     */\n    stripAccents(text) {\n        return text.normalize('NFD').replace(/[\\u0300-\\u036f]/g, '');\n    }\n\n\n    /**\n     * Checks whether `char` is a control character.\n     * @param {string} char The character to check.\n     * @returns {boolean} Whether `char` is a control character.\n     * @private\n     */\n    _is_control(char) {\n        switch (char) {\n            case '\\t':\n            case '\\n':\n            case '\\r':\n                // These are technically control characters but we count them as whitespace characters.\n                return false;\n\n            default:\n                // Check if unicode category starts with C:\n                // Cc - Control\n                // Cf - Format\n                // Co - Private Use\n                // Cs - Surrogate\n                return /^\\p{Cc}|\\p{Cf}|\\p{Co}|\\p{Cs}$/u.test(char);\n        }\n    }\n\n    /**\n     * Performs invalid character removal and whitespace cleanup on text.\n     * @param {string} text The text to clean.\n     * @returns {string} The cleaned text.\n     * @private\n     */\n    _clean_text(text) {\n        const output = [];\n        for (const char of text) {\n            const cp = char.charCodeAt(0);\n            if (cp === 0 || cp === 0xFFFD || this._is_control(char)) {\n                continue;\n            }\n            if (/^\\s$/.test(char)) { // is whitespace\n                output.push(\" \");\n            } else {\n                output.push(char);\n            }\n        }\n        return output.join(\"\");\n    }\n    /**\n     * Normalizes the given text based on the configuration.\n     * @param {string} text The text to normalize.\n     * @returns {string} The normalized text.\n     */\n    normalize(text) {\n        if (this.config.clean_text) {\n            text = this._clean_text(text);\n        }\n\n        if (this.config.handle_chinese_chars) {\n            text = this._tokenize_chinese_chars(text);\n        }\n\n        if (this.config.lowercase) {\n            text = text.toLowerCase();\n\n            if (this.config.strip_accents !== false) {\n                text = this.stripAccents(text);\n            }\n        } else if (this.config.strip_accents) {\n            text = this.stripAccents(text);\n        }\n\n        return text;\n    }\n}\n\n/**\n * A callable class representing a pre-tokenizer used in tokenization. Subclasses\n * should implement the `pre_tokenize_text` method to define the specific pre-tokenization logic.\n * @extends Callable\n */\nclass PreTokenizer extends Callable {\n    /**\n   * Factory method that returns an instance of a subclass of `PreTokenizer` based on the provided configuration.\n   *\n   * @static\n   * @param {Object} config A configuration object for the pre-tokenizer.\n   * @returns {PreTokenizer} An instance of a subclass of `PreTokenizer`.\n   * @throws {Error} If the provided configuration object does not correspond to any known pre-tokenizer.\n   */\n    static fromConfig(config) {\n        if (config === null) return null;\n\n        switch (config.type) {\n            case 'BertPreTokenizer':\n                return new BertPreTokenizer(config);\n            case 'Sequence':\n                return new PreTokenizerSequence(config);\n            case 'Whitespace':\n                return new WhitespacePreTokenizer(config);\n            case 'WhitespaceSplit':\n                return new WhitespaceSplit(config);\n            case 'Metaspace':\n                return new MetaspacePreTokenizer(config);\n\n            case 'ByteLevel':\n                return new ByteLevelPreTokenizer(config);\n            case 'Split':\n                return new SplitPreTokenizer(config);\n            case 'Punctuation':\n                return new PunctuationPreTokenizer(config);\n            case 'Digits':\n                return new DigitsPreTokenizer(config);\n            case 'Replace':\n                return new ReplacePreTokenizer(config);\n            default:\n                throw new Error(`Unknown PreTokenizer type: ${config.type}`);\n        }\n    }\n\n    /**\n     * Method that should be implemented by subclasses to define the specific pre-tokenization logic.\n     *\n     * @abstract\n     * @param {string} text The text to pre-tokenize.\n     * @param {Object} [options] Additional options for the pre-tokenization logic.\n     * @returns {string[]} The pre-tokenized text.\n     * @throws {Error} If the method is not implemented in the subclass.\n     */\n    pre_tokenize_text(text, options) {\n        throw Error(\"pre_tokenize_text should be implemented in subclass.\")\n    }\n\n    /**\n     * Tokenizes the given text into pre-tokens.\n     * @param {string|string[]} text The text or array of texts to pre-tokenize.\n     * @param {Object} [options] Additional options for the pre-tokenization logic.\n     * @returns {string[]} An array of pre-tokens.\n     */\n    pre_tokenize(text, options) {\n        return (Array.isArray(text)\n            ? text.map(x => this.pre_tokenize_text(x, options))\n            : this.pre_tokenize_text(text, options)\n        ).flat();\n    }\n\n    /**\n     * Alias for {@link PreTokenizer#pre_tokenize}.\n     * @param {string|string[]} text The text or array of texts to pre-tokenize.\n     * @param {Object} [options] Additional options for the pre-tokenization logic.\n     * @returns {string[]} An array of pre-tokens.\n     */\n    _call(text, options) {\n        return this.pre_tokenize(text, options);\n    }\n}\n\n/**\n * @extends PreTokenizer\n */\nclass BertPreTokenizer extends PreTokenizer {\n    /**\n     * A PreTokenizer that splits text into wordpieces using a basic tokenization scheme\n     * similar to that used in the original implementation of BERT.\n     * \n     * @param {Object} config The configuration object.\n     */\n    constructor(config) {\n        super();\n        // Construct a pattern which matches the rust implementation:\n        // https://github.com/huggingface/tokenizers/blob/b4fcc9ce6e4ad5806e82826f816acfdfdc4fcc67/tokenizers/src/pre_tokenizers/bert.rs#L11\n        // Equivalent to removing whitespace and splitting on punctuation (both \\p{P} and other ascii characters)\n        this.pattern = new RegExp(`[^\\\\s${PUNCTUATION_REGEX}]+|[${PUNCTUATION_REGEX}]`, 'gu');\n    }\n    /**\n     * Tokenizes a single text using the BERT pre-tokenization scheme.\n     * \n     * @param {string} text The text to tokenize.\n     * @param {Object} [options] Additional options for the pre-tokenization logic.\n     * @returns {string[]} An array of tokens.\n     */\n    pre_tokenize_text(text, options) {\n        return text.trim().match(this.pattern) || [];\n    }\n}\n\n/**\n * A pre-tokenizer that splits text into Byte-Pair-Encoding (BPE) subwords.\n * @extends PreTokenizer\n */\nclass ByteLevelPreTokenizer extends PreTokenizer {\n    /**\n     * Creates a new instance of the `ByteLevelPreTokenizer` class.\n     * @param {Object} config The configuration object.\n     */\n    constructor(config) {\n        super();\n        this.config = config;\n\n        /**\n         * @type {boolean} Whether to add a leading space to the first word.\n         * This allows to treat the leading word just as any other word.\n         */\n        this.add_prefix_space = this.config.add_prefix_space;\n\n        /**\n         * @type {boolean} Whether the post processing step should trim offsets\n         * to avoid including whitespaces.\n         * @todo Use this in the pretokenization step.\n         */\n        this.trim_offsets = this.config.trim_offsets;\n\n        /**\n         * @type {boolean} Whether to use the standard GPT2 regex for whitespace splitting.\n         * Set it to False if you want to use your own splitting. Defaults to true.\n         */\n        this.use_regex = this.config.use_regex ?? true;\n        this.pattern = /'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)|\\s+/gu;\n\n        this.byte_encoder = BYTES_TO_UNICODE;\n        this.text_encoder = new TextEncoder();\n    }\n\n    /**\n     * Tokenizes a single piece of text using byte-level tokenization.\n     * @param {string} text The text to tokenize.\n     * @param {Object} [options] Additional options for the pre-tokenization logic.\n     * @returns {string[]} An array of tokens.\n     */\n    pre_tokenize_text(text, options) {\n        // Add a leading space if the option is enabled\n        if (this.add_prefix_space && !text.startsWith(' ')) {\n            text = ' ' + text;\n        }\n\n        // Split on whitespace and punctuation\n        const tokens = this.use_regex ? (text.match(this.pattern) || []) : [text];\n\n        // Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)\n        return tokens.map(\n            token => Array.from(this.text_encoder.encode(token), byte => this.byte_encoder[byte]).join('')\n        );\n    }\n}\n\n/**\n * @typedef {'removed'|'isolated'|'mergedWithPrevious'|'mergedWithNext'|'contiguous'} SplitDelimiterBehavior\n */\n\n/**\n * Splits text using a given pattern.\n * @extends PreTokenizer\n */\nclass SplitPreTokenizer extends PreTokenizer {\n    /**\n     * @param {Object} config The configuration options for the pre-tokenizer.\n     * @param {Object} config.pattern The pattern used to split the text. Can be a string or a regex object.\n     * @param {string|undefined} config.pattern.String The string to use for splitting. Only defined if the pattern is a string.\n     * @param {string|undefined} config.pattern.Regex The regex to use for splitting. Only defined if the pattern is a regex.\n     * @param {SplitDelimiterBehavior} config.behavior The behavior to use when splitting.\n     * @param {boolean} config.invert Whether to split (invert=false) or match (invert=true) the pattern.\n     */\n    constructor(config) {\n        super();\n        this.config = config;\n        // TODO support all behaviours (config.behavior)\n\n        this.pattern = createPattern(this.config.pattern, this.config.invert);\n    }\n\n    /**\n     * Tokenizes text by splitting it using the given pattern.\n     * @param {string} text The text to tokenize.\n     * @param {Object} [options] Additional options for the pre-tokenization logic.\n     * @returns {string[]} An array of tokens.\n     */\n    pre_tokenize_text(text, options) {\n        if (this.pattern === null) {\n            return [];\n        }\n\n        if (this.config.invert) {\n            return text.match(this.pattern) || [];\n        } else {\n            return regexSplit(text, this.pattern);\n        }\n    }\n}\n\n/**\n * Splits text based on punctuation.\n * @extends PreTokenizer\n */\nclass PunctuationPreTokenizer extends PreTokenizer {\n    /**\n     * @param {Object} config The configuration options for the pre-tokenizer.\n     * @param {SplitDelimiterBehavior} config.behavior The behavior to use when splitting.\n     */\n    constructor(config) {\n        super();\n        this.config = config;\n        this.pattern = new RegExp(`[^${PUNCTUATION_REGEX}]+|[${PUNCTUATION_REGEX}]+`, 'gu');\n    }\n\n    /**\n     * Tokenizes text by splitting it using the given pattern.\n     * @param {string} text The text to tokenize.\n     * @param {Object} [options] Additional options for the pre-tokenization logic.\n     * @returns {string[]} An array of tokens.\n     */\n    pre_tokenize_text(text, options) {\n        return text.match(this.pattern) || [];\n    }\n}\n\n\n/**\n * Splits text based on digits.\n * @extends PreTokenizer\n */\nclass DigitsPreTokenizer extends PreTokenizer {\n    /**\n     * @param {Object} config The configuration options for the pre-tokenizer.\n     * @param {boolean} config.individual_digits Whether to split on individual digits.\n     */\n    constructor(config) {\n        super();\n        this.config = config;\n\n        // Construct a pattern which matches the rust implementation:\n        const digit_pattern = `[^\\\\d]+|\\\\d${this.config.individual_digits ? '' : '+'}`;\n        this.pattern = new RegExp(digit_pattern, 'gu');\n    }\n\n    /**\n     * Tokenizes text by splitting it using the given pattern.\n     * @param {string} text The text to tokenize.\n     * @param {Object} [options] Additional options for the pre-tokenization logic.\n     * @returns {string[]} An array of tokens.\n     */\n    pre_tokenize_text(text, options) {\n        return text.match(this.pattern) || [];\n    }\n}\n\n/**\n * @typedef {Object} PostProcessedOutput\n * @property {string[]} tokens List of token produced by the post-processor.\n * @property {number[]} [token_type_ids] List of token type ids produced by the post-processor.\n */\n\n\n/**\n * @typedef {Object} EncodingSingle\n * @property {number[]} input_ids List of token ids to be fed to a model.\n * @property {number[]} attention_mask List of token type ids to be fed to a model\n * @property {number[]} [token_type_ids] List of indices specifying which tokens should be attended to by the model\n */\n\n\n/**\n * @extends Callable\n */\nclass PostProcessor extends Callable {\n\n    /**\n     * @param {Object} config The configuration for the post-processor.\n     */\n    constructor(config) {\n        super();\n        this.config = config;\n    }\n\n    /**\n     * Factory method to create a PostProcessor object from a configuration object.\n     *\n     * @param {Object} config Configuration object representing a PostProcessor.\n     * @returns {PostProcessor} A PostProcessor object created from the given configuration.\n     * @throws {Error} If an unknown PostProcessor type is encountered.\n     */\n    static fromConfig(config) {\n        if (config === null) return null;\n        switch (config.type) {\n            case 'TemplateProcessing':\n                return new TemplateProcessing(config);\n\n            case 'ByteLevel':\n                return new ByteLevelPostProcessor(config);\n\n            case 'RobertaProcessing':\n                return new RobertaProcessing(config);\n            case 'BertProcessing':\n                return new BertProcessing(config);\n\n            case 'Sequence':\n                return new PostProcessorSequence(config);\n            default:\n                throw new Error(`Unknown PostProcessor type: ${config.type}`);\n        }\n    }\n\n    /**\n     * Method to be implemented in subclass to apply post-processing on the given tokens.\n     *\n     * @param {Array} tokens The input tokens to be post-processed.\n     * @param {...*} args Additional arguments required by the post-processing logic.\n     * @returns {PostProcessedOutput} The post-processed tokens.\n     * @throws {Error} If the method is not implemented in subclass.\n     */\n    post_process(tokens, ...args) {\n        throw Error(\"post_process should be implemented in subclass.\")\n    }\n\n    /**\n     * Alias for {@link PostProcessor#post_process}.\n     * @param {Array} tokens The text or array of texts to post-process.\n     * @param {...*} args Additional arguments required by the post-processing logic.\n     * @returns {PostProcessedOutput} The post-processed tokens.\n     */\n    _call(tokens, ...args) {\n        return this.post_process(tokens, ...args);\n    }\n}\n\n/**\n * A post-processor that adds special tokens to the beginning and end of the input.\n */\nclass BertProcessing extends PostProcessor {\n    /**\n     * @param {Object} config The configuration for the post-processor.\n     * @param {string[]} config.cls The special tokens to add to the beginning of the input.\n     * @param {string[]} config.sep The special tokens to add to the end of the input.\n     */\n    constructor(config) {\n        super(config);\n        // TODO use all of config: add_prefix_space, trim_offsets\n\n        this.cls = config.cls[0];\n        this.sep = config.sep[0];\n    }\n\n    /**\n     * Adds the special tokens to the beginning and end of the input.\n     * @param {string[]} tokens The input tokens.\n     * @param {string[]} [tokens_pair=null] An optional second set of input tokens.\n     * @returns {PostProcessedOutput} The post-processed tokens with the special tokens added to the beginning and end.\n     */\n    post_process(tokens, tokens_pair = null, {\n        add_special_tokens = true,\n    } = {}) {\n        if (add_special_tokens) {\n            tokens = mergeArrays([this.cls], tokens, [this.sep]);\n        }\n\n        let token_type_ids = new Array(tokens.length).fill(0);\n        if (tokens_pair !== null) {\n            // NOTE: It is intended to add 2 EOS tokens after the first set of tokens\n            // https://github.com/huggingface/tokenizers/issues/983\n            const middle = (add_special_tokens && this instanceof RobertaProcessing)\n                ? [this.sep]\n                : [];\n            const after = add_special_tokens ? [this.sep] : [];\n\n            tokens = mergeArrays(tokens, middle, tokens_pair, after);\n            token_type_ids = mergeArrays(token_type_ids, new Array(tokens_pair.length + middle.length + after.length).fill(1));\n        }\n        return { tokens, token_type_ids };\n    }\n}\nclass RobertaProcessing extends BertProcessing { } // NOTE: extends BertProcessing\n\n/**\n * Post processor that replaces special tokens in a template with actual tokens.\n * @extends PostProcessor\n */\nclass TemplateProcessing extends PostProcessor {\n    /**\n     * Creates a new instance of `TemplateProcessing`.\n     * @param {Object} config The configuration options for the post processor.\n     * @param {Array} config.single The template for a single sequence of tokens.\n     * @param {Array} config.pair The template for a pair of sequences of tokens.\n     */\n    constructor(config) {\n        super(config);\n\n        this.single = config.single;\n        this.pair = config.pair;\n    }\n\n    /**\n     * Replaces special tokens in the template with actual tokens.\n     * @param {string[]} tokens The list of tokens for the first sequence.\n     * @param {string[]} [tokens_pair=null] The list of tokens for the second sequence (optional).\n     * @returns {PostProcessedOutput} An object containing the list of tokens with the special tokens replaced with actual tokens.\n     */\n    post_process(tokens, tokens_pair = null, {\n        add_special_tokens = true,\n    } = {}) {\n        const type = tokens_pair === null ? this.single : this.pair\n\n        let processedTokens = [];\n        let types = [];\n        for (const item of type) {\n            if ('SpecialToken' in item) {\n                if (add_special_tokens) {\n                    processedTokens.push(item.SpecialToken.id);\n                    types.push(item.SpecialToken.type_id);\n                }\n            } else if ('Sequence' in item) {\n                if (item.Sequence.id === 'A') {\n                    processedTokens = mergeArrays(processedTokens, tokens);\n                    types = mergeArrays(types, new Array(tokens.length).fill(item.Sequence.type_id));\n\n                } else if (item.Sequence.id === 'B') {\n                    processedTokens = mergeArrays(processedTokens, tokens_pair);\n                    types = mergeArrays(types, new Array(tokens_pair.length).fill(item.Sequence.type_id));\n                }\n            }\n        }\n        return { tokens: processedTokens, token_type_ids: types };\n    }\n}\n\n/**\n * A PostProcessor that returns the given tokens as is.\n * @extends PostProcessor\n */\nclass ByteLevelPostProcessor extends PostProcessor {\n    /**\n     * Post process the given tokens.\n     * @param {string[]} tokens The list of tokens for the first sequence.\n     * @param {string[]} [tokens_pair=null] The list of tokens for the second sequence (optional).\n     * @returns {PostProcessedOutput} An object containing the post-processed tokens.\n     */\n    post_process(tokens, tokens_pair = null) {\n        if (tokens_pair) {\n            tokens = mergeArrays(tokens, tokens_pair);\n        }\n        return { tokens };\n    }\n}\n\n\n/**\n * A post-processor that applies multiple post-processors in sequence.\n */\nclass PostProcessorSequence extends PostProcessor {\n\n    /**\n     * Creates a new instance of PostProcessorSequence.\n     * @param {Object} config The configuration object.\n     * @param {Object[]} config.processors The list of post-processors to apply.\n     */\n    constructor(config) {\n        super(config);\n\n        this.processors = config.processors.map(x => PostProcessor.fromConfig(x));\n    }\n\n    /**\n     * Post process the given tokens.\n     * @param {string[]} tokens The list of tokens for the first sequence.\n     * @param {string[]} [tokens_pair=null] The list of tokens for the second sequence (optional).\n     * @returns {PostProcessedOutput} An object containing the post-processed tokens.\n     */\n    post_process(tokens, tokens_pair = null, options = {}) {\n        let token_type_ids;\n        for (const processor of this.processors) {\n            if (processor instanceof ByteLevelPostProcessor) {\n                // Special case where we need to pass the tokens_pair to the post-processor\n                const output = processor.post_process(tokens);\n                tokens = output.tokens;\n                if (tokens_pair) {\n                    const pair_output = processor.post_process(tokens_pair);\n                    tokens_pair = pair_output.tokens;\n                }\n            } else {\n                const output = processor.post_process(tokens, tokens_pair, options);\n                tokens = output.tokens;\n                token_type_ids = output.token_type_ids;\n            }\n        }\n        return { tokens, token_type_ids };\n    }\n}\n\n/**\n * The base class for token decoders.\n * @extends Callable\n */\nclass Decoder extends Callable {\n\n    /**\n    * Creates an instance of `Decoder`.\n    *\n    * @param {Object} config The configuration object.\n    */\n    constructor(config) {\n        super();\n        this.config = config;\n\n        /** @type {AddedToken[]} */\n        this.added_tokens = [];\n        this.end_of_word_suffix = null;\n        this.trim_offsets = config.trim_offsets;\n    }\n\n    /**\n   * Creates a decoder instance based on the provided configuration.\n   *\n   * @param {Object} config The configuration object.\n   * @returns {Decoder} A decoder instance.\n   * @throws {Error} If an unknown decoder type is provided.\n   */\n    static fromConfig(config) {\n        if (config === null) return null;\n        switch (config.type) {\n            case 'WordPiece':\n                return new WordPieceDecoder(config);\n            case 'Metaspace':\n                return new MetaspaceDecoder(config);\n            case 'ByteLevel':\n                return new ByteLevelDecoder(config);\n\n            case 'Replace':\n                return new ReplaceDecoder(config);\n            case 'ByteFallback':\n                return new ByteFallback(config);\n            case 'Fuse':\n                return new FuseDecoder(config);\n            case 'Strip':\n                return new StripDecoder(config);\n\n            case 'Sequence':\n                return new DecoderSequence(config);\n\n            case 'CTC':\n                return new CTCDecoder(config);\n            case 'BPEDecoder':\n                return new BPEDecoder(config);\n            default:\n                throw new Error(`Unknown Decoder type: ${config.type}`);\n        }\n    }\n\n    /**\n    * Calls the `decode` method.\n    *\n    * @param {string[]} tokens The list of tokens.\n    * @returns {string} The decoded string.\n    */\n    _call(tokens) {\n        return this.decode(tokens);\n    }\n\n    /**\n    * Decodes a list of tokens.\n    * @param {string[]} tokens The list of tokens.\n    * @returns {string} The decoded string.\n    */\n    decode(tokens) {\n        return this.decode_chain(tokens).join('');\n    }\n\n    /**\n     * Apply the decoder to a list of tokens.\n     * \n     * @param {string[]} tokens The list of tokens.\n     * @returns {string[]} The decoded list of tokens.\n     * @throws {Error} If the `decode_chain` method is not implemented in the subclass.\n     */\n    decode_chain(tokens) {\n        throw Error(\"`decode_chain` should be implemented in subclass.\")\n    }\n\n}\n\nclass ReplaceDecoder extends Decoder {\n\n    /** @type {Decoder['decode_chain']} */\n    decode_chain(tokens) {\n        const pattern = createPattern(this.config.pattern);\n        return pattern === null\n            ? tokens\n            : tokens.map(token => token.replaceAll(pattern, this.config.content))\n    }\n}\n\n\nclass ByteFallback extends Decoder {\n    constructor(config) {\n        super(config);\n\n        this.text_decoder = new TextDecoder();\n    }\n\n    /** @type {Decoder['decode_chain']} */\n    decode_chain(tokens) {\n\n        const new_tokens = [];\n        let previous_byte_tokens = [];\n\n        for (const token of tokens) {\n            let bytes = null;\n            if (token.length === 6 && token.startsWith('<0x') && token.endsWith('>')) {\n                const byte = parseInt(token.slice(3, 5), 16);\n                if (!isNaN(byte)) {\n                    bytes = byte;\n                }\n            }\n            if (bytes !== null) {\n                previous_byte_tokens.push(bytes);\n            } else {\n                if (previous_byte_tokens.length > 0) {\n                    const string = this.text_decoder.decode(Uint8Array.from(previous_byte_tokens));\n                    new_tokens.push(string);\n                    previous_byte_tokens = [];\n                }\n                new_tokens.push(token);\n            }\n        }\n        if (previous_byte_tokens.length > 0) {\n            const string = this.text_decoder.decode(Uint8Array.from(previous_byte_tokens));\n            new_tokens.push(string);\n            previous_byte_tokens = [];\n        }\n\n        return new_tokens;\n    }\n}\n\n/**\n * Fuse simply fuses all tokens into one big string.\n * It's usually the last decoding step anyway, but this decoder\n * exists incase some decoders need to happen after that step\n */\nclass FuseDecoder extends Decoder {\n\n    /** @type {Decoder['decode_chain']} */\n    decode_chain(tokens) {\n        return [tokens.join('')];\n    }\n}\n\n\nclass StripDecoder extends Decoder {\n    constructor(config) {\n        super(config);\n\n        this.content = this.config.content;\n        this.start = this.config.start;\n        this.stop = this.config.stop;\n    }\n\n    /** @type {Decoder['decode_chain']} */\n    decode_chain(tokens) {\n        return tokens.map(token => {\n            let start_cut = 0;\n            for (let i = 0; i < this.start; ++i) {\n                if (token[i] === this.content) {\n                    start_cut = i + 1;\n                    continue;\n                } else {\n                    break;\n                }\n            }\n\n            let stop_cut = token.length;\n            for (let i = 0; i < this.stop; ++i) {\n                const index = token.length - i - 1;\n                if (token[index] === this.content) {\n                    stop_cut = index;\n                    continue;\n                } else {\n                    break;\n                }\n            }\n\n            return token.slice(start_cut, stop_cut)\n        });\n    }\n}\n\n/**\n * A decoder that decodes a list of WordPiece tokens into a single string.\n * @extends Decoder\n */\nclass WordPieceDecoder extends Decoder {\n\n    /**\n     * Creates a new instance of WordPieceDecoder.\n     * @param {Object} config The configuration object.\n     * @param {string} config.prefix The prefix used for WordPiece encoding.\n     * @param {boolean} config.cleanup Whether to cleanup the decoded string.\n     */\n    constructor(config) {\n        super(config);\n        this.cleanup = config.cleanup;\n    }\n\n    /** @type {Decoder['decode_chain']} */\n    decode_chain(tokens) {\n        return tokens.map((token, i) => {\n            if (i !== 0) {\n                if (token.startsWith(this.config.prefix)) {\n                    // NOTE: .replace() is intended; only replace first occurrence\n                    token = token.replace(this.config.prefix, '');\n                } else {\n                    token = ' ' + token;\n                }\n            }\n            if (this.cleanup) {\n                token = clean_up_tokenization(token)\n            }\n\n            return token;\n        });\n    }\n}\n\n/**\n * Byte-level decoder for tokenization output. Inherits from the `Decoder` class.\n * @extends Decoder\n */\nclass ByteLevelDecoder extends Decoder {\n\n    /**\n     * Create a `ByteLevelDecoder` object.\n     * @param {Object} config Configuration object.\n     */\n    constructor(config) {\n        super(config);\n\n        this.byte_decoder = UNICODE_TO_BYTES;\n        this.text_decoder = new TextDecoder(\"utf-8\", {\n            fatal: false,\n            ignoreBOM: true,\n        });\n\n        this.end_of_word_suffix = null;\n    }\n\n    /**\n     * Convert an array of tokens to string by decoding each byte.\n     * @param {string[]} tokens Array of tokens to be decoded.\n     * @returns {string} The decoded string.\n     */\n    convert_tokens_to_string(tokens) {\n        const text = tokens.join('');\n        const byteArray = new Uint8Array([...text].map(c => this.byte_decoder[c]));\n        const decoded_text = this.text_decoder.decode(byteArray);\n        return decoded_text;\n    }\n\n    /** @type {Decoder['decode_chain']} */\n    decode_chain(tokens) {\n        // TODO move to base class (like HF)\n        // tokens === filtered_tokens\n\n        // To avoid mixing byte-level and unicode for byte-level BPT\n        // we need to build string separately for added tokens and byte-level tokens\n        // cf. https://github.com/huggingface/transformers/issues/1133\n        const sub_texts = [];\n        let current_sub_text = [];\n        for (const token of tokens) {\n            // tokens sent here are already filtered, so we don't need to do this\n            // if (skip_special_tokens && this.all_special_ids.includes(token)) {\n            //     continue;\n            // }\n\n            if (this.added_tokens.find(x => x.content === token) !== undefined) {\n                if (current_sub_text.length > 0) {\n                    sub_texts.push(this.convert_tokens_to_string(current_sub_text));\n                    current_sub_text = [];\n                }\n                sub_texts.push(token);\n            } else {\n                current_sub_text.push(token);\n            }\n        }\n        if (current_sub_text.length > 0) {\n            sub_texts.push(this.convert_tokens_to_string(current_sub_text));\n        }\n\n        // TODO add spaces_between_special_tokens and clean_up_tokenization_spaces options\n\n        return sub_texts;\n    }\n}\n\n/**\n * The CTC (Connectionist Temporal Classification) decoder.\n * See https://github.com/huggingface/tokenizers/blob/bb38f390a61883fc2f29d659af696f428d1cda6b/tokenizers/src/decoders/ctc.rs\n */\nclass CTCDecoder extends Decoder {\n\n    constructor(config) {\n        super(config);\n\n        this.pad_token = this.config.pad_token;\n        this.word_delimiter_token = this.config.word_delimiter_token;\n        this.cleanup = this.config.cleanup;\n    }\n    /**\n     * Converts a connectionist-temporal-classification (CTC) output tokens into a single string.\n     * @param {string[]} tokens Array of tokens to be decoded.\n     * @returns {string} The decoded string.\n     */\n    convert_tokens_to_string(tokens) {\n        if (tokens.length === 0) return '';\n\n        // group same tokens into non-repeating tokens in CTC style decoding\n        const grouped_tokens = [tokens[0]];\n        for (let i = 1; i < tokens.length; ++i) {\n            if (tokens[i] !== grouped_tokens.at(-1)) {\n                grouped_tokens.push(tokens[i]);\n            }\n        }\n\n        // filter self.pad_token which is used as CTC-blank token\n        const filtered_tokens = grouped_tokens.filter(token => token !== this.pad_token);\n\n        let text = filtered_tokens.join('');\n        if (this.cleanup) {\n            // cleanup and replace delimiter token\n            text = clean_up_tokenization(text)\n                .replaceAll(this.word_delimiter_token, ' ')\n                .trim();\n        }\n        return text;\n    }\n\n\n    /** @type {Decoder['decode_chain']} */\n    decode_chain(tokens) {\n        return [this.convert_tokens_to_string(tokens)];\n    }\n}\n\n/**\n * Apply a sequence of decoders.\n * @extends Decoder\n */\nclass DecoderSequence extends Decoder {\n\n    /**\n     * Creates a new instance of DecoderSequence.\n     * @param {Object} config The configuration object.\n     * @param {Object[]} config.decoders The list of decoders to apply.\n     */\n    constructor(config) {\n        super(config);\n        this.decoders = config.decoders.map(x => Decoder.fromConfig(x));\n    }\n\n    /** @type {Decoder['decode_chain']} */\n    decode_chain(tokens) {\n        // Use reduce to apply each decoder to the tokens\n        return this.decoders.reduce((toks, decoder) => {\n            return decoder.decode_chain(toks);\n        }, tokens);\n    }\n\n}\n\nclass BPEDecoder extends Decoder {\n    constructor(config) {\n        super(config);\n\n        this.suffix = this.config.suffix;\n    }\n    /** @type {Decoder['decode_chain']} */\n    decode_chain(tokens) {\n        return tokens.map((token, i) => {\n            return token.replaceAll(this.suffix, (i === tokens.length - 1) ? '' : ' ')\n        });\n    }\n}\n\n// Custom decoder for VITS\nclass VitsDecoder extends Decoder {\n    /** @type {Decoder['decode_chain']} */\n    decode_chain(tokens) {\n        let decoded = '';\n        for (let i = 1; i < tokens.length; i += 2) {\n            decoded += tokens[i];\n        }\n        return [decoded];\n    }\n}\n\n\n/**\n * This PreTokenizer replaces spaces with the given replacement character, adds a prefix space if requested,\n * and returns a list of tokens.\n * @extends PreTokenizer\n */\nclass MetaspacePreTokenizer extends PreTokenizer {\n    /**\n     * @param {Object} config The configuration object for the MetaspacePreTokenizer.\n     * @param {boolean} config.add_prefix_space Whether to add a prefix space to the first token.\n     * @param {string} config.replacement The character to replace spaces with.\n     * @param {string} [config.str_rep=config.replacement] An optional string representation of the replacement character.\n     * @param {'first'|'never'|'always'} [config.prepend_scheme='always'] The metaspace prepending scheme.\n     */\n    constructor(config) {\n        super();\n\n        this.addPrefixSpace = config.add_prefix_space;\n        this.replacement = config.replacement;\n        this.strRep = config.str_rep || this.replacement;\n        this.prepend_scheme = config.prepend_scheme ?? 'always';\n    }\n\n    /**\n     * This method takes a string, replaces spaces with the replacement character,\n     * adds a prefix space if requested, and returns a new list of tokens.\n     * @param {string} text The text to pre-tokenize.\n     * @param {Object} [options] The options for the pre-tokenization.\n     * @param {number} [options.section_index] The index of the section to pre-tokenize.\n     * @returns {string[]} A new list of pre-tokenized tokens.\n     */\n    pre_tokenize_text(text, {\n        section_index = undefined,\n    } = {}) {\n\n        let normalized = text.replaceAll(' ', this.strRep);\n\n        if (\n            // We add a prefix space if:\n            //  (1) The addPrefixSpace option is enabled and the normalized\n            //      token does not already start with the replacement character.\n            (this.addPrefixSpace && !normalized.startsWith(this.replacement))\n\n            // and (2) either:\n            //  (a) prepend_scheme is 'always'\n            //  (b) prepend_scheme is 'first' and this is the first section\n            && (\n                this.prepend_scheme === 'always' ||\n                (this.prepend_scheme === 'first' && section_index === 0)\n            )\n        ) {\n            normalized = this.strRep + normalized;\n        }\n        return [normalized];\n    }\n}\n\n/**\n * MetaspaceDecoder class extends the Decoder class and decodes Metaspace tokenization.\n * @extends Decoder\n */\nclass MetaspaceDecoder extends Decoder {\n    /**\n     * Constructs a new MetaspaceDecoder object.\n     * @param {Object} config The configuration object for the MetaspaceDecoder.\n     * @param {boolean} config.add_prefix_space Whether to add a prefix space to the decoded string.\n     * @param {string} config.replacement The string to replace spaces with.\n     */\n    constructor(config) {\n        super(config);\n\n        this.addPrefixSpace = config.add_prefix_space;\n        this.replacement = config.replacement;\n    }\n\n    /** @type {Decoder['decode_chain']} */\n    decode_chain(tokens) {\n        const result = [];\n        for (let i = 0; i < tokens.length; ++i) {\n            let normalized = tokens[i].replaceAll(this.replacement, ' ');\n            if (this.addPrefixSpace && i == 0 && normalized.startsWith(' ')) {\n                normalized = normalized.substring(1);\n            }\n            result.push(normalized);\n        }\n        return result;\n    }\n}\n\n/**\n * A normalizer that applies a precompiled charsmap.\n * This is useful for applying complex normalizations in C++ and exposing them to JavaScript.\n * @extends Normalizer\n * @param {Object} config The configuration object for the Precompiled normalizer.\n * @param {Object} config.precompiled_charsmap The precompiled charsmap object.\n */\nclass Precompiled extends Normalizer {\n    /**\n     * Create a new instance of Precompiled normalizer.\n     * @param {Object} config The configuration object.\n     * @param {any} config.precompiled_charsmap Precompiled chars mapping.\n     */\n    constructor(config) {\n        super(config);\n        this.charsmap = config.precompiled_charsmap;\n    }\n\n    /**\n     * Normalizes the given text by applying the precompiled charsmap.\n     * @param {string} text The text to normalize.\n     * @returns {string} The normalized text.\n     */\n    normalize(text) {\n        // As stated in the sentencepiece normalization docs (https://github.com/google/sentencepiece/blob/master/doc/normalization.md#use-pre-defined-normalization-rule),\n        // there are 5 pre-defined normalization rules:\n        //  1. nmt_nfkc: NFKC normalization with some additional normalization around spaces. (default)\n        //  2. nfkc: original NFKC normalization.\n        //  3. nmt_nfkc_cf: nmt_nfkc + Unicode case folding (mostly lower casing)\n        //  4. nfkc_cf: nfkc + Unicode case folding.\n        //  5. identity: no normalization\n        // \n        // For now, we only implement the default (nmt_nfkc).\n        // See https://raw.githubusercontent.com/google/sentencepiece/master/data/nmt_nfkc.tsv for the full list of rules.\n        // TODO: detect when a different `this.charsmap` is used.\n\n        text = text.replace(/[\\u0001-\\u0008\\u000B\\u000E-\\u001F\\u007F\\u008F\\u009F]/gm, ''); // Remove control characters\n        text = text.replace(/[\\u0009\\u000A\\u000C\\u000D\\u1680\\u200B\\u200C\\u200E\\u200F\\u2028\\u2029\\u2581\\uFEFF\\uFFFD]/gm, '\\u0020'); // Replace certain characters with a space\n\n        if (text.includes('\\uFF5E')) {\n            // To match the sentencepiece implementation 100%, we must handle a very strange edge-case.\n            // For some reason, the \"Fullwidth Tilde\" character (\\uFF5E) should not be converted to the standard Tilde character (\\u007E).\n            // However, NFKC normalization does do this conversion. As a result, we split the string on the Fullwidth Tilde character,\n            // perform NFKC normalization on each substring, and then join them back together with the Fullwidth Tilde character.\n            const parts = text.split('\\uFF5E');\n            text = parts.map(part => part.normalize('NFKC')).join('\\uFF5E');\n        } else {\n            text = text.normalize('NFKC');\n        }\n\n        return text;\n    }\n}\n\n/**\n * A pre-tokenizer that applies a sequence of pre-tokenizers to the input text.\n * @extends PreTokenizer\n */\nclass PreTokenizerSequence extends PreTokenizer {\n    /**\n     * Creates an instance of PreTokenizerSequence.\n     * @param {Object} config The configuration object for the pre-tokenizer sequence.\n     * @param {Object[]} config.pretokenizers An array of pre-tokenizer configurations.\n     */\n    constructor(config) {\n        super();\n        this.tokenizers = config.pretokenizers.map(x => PreTokenizer.fromConfig(x));\n    }\n\n    /**\n     * Applies each pre-tokenizer in the sequence to the input text in turn.\n     * @param {string} text The text to pre-tokenize.\n     * @param {Object} [options] Additional options for the pre-tokenization logic.\n     * @returns {string[]} The pre-tokenized text.\n     */\n    pre_tokenize_text(text, options) {\n        // Use reduce to apply each tokenizer to the text\n        return this.tokenizers.reduce((preTokenizedText, tokenizer) => {\n            return tokenizer.pre_tokenize(preTokenizedText, options);\n        }, [text]);\n    }\n}\n\n/**\n * Splits on word boundaries (using the following regular expression: `\\w+|[^\\w\\s]+`).\n */\nclass WhitespacePreTokenizer extends PreTokenizer {\n    /**\n     * Creates an instance of WhitespacePreTokenizer.\n     * @param {Object} config The configuration object for the pre-tokenizer.\n     */\n    constructor(config) {\n        super();\n    }\n    /**\n     * Pre-tokenizes the input text by splitting it on word boundaries.\n     * @param {string} text The text to be pre-tokenized.\n     * @param {Object} [options] Additional options for the pre-tokenization logic.\n     * @returns {string[]} An array of tokens produced by splitting the input text on whitespace.\n     */\n    pre_tokenize_text(text, options) {\n        return text.match(/\\w+|[^\\w\\s]+/g) || [];\n    }\n}\n\n/**\n * Splits a string of text by whitespace characters into individual tokens.\n * @extends PreTokenizer\n */\nclass WhitespaceSplit extends PreTokenizer {\n    /**\n     * Creates an instance of WhitespaceSplit.\n     * @param {Object} config The configuration object for the pre-tokenizer.\n     */\n    constructor(config) {\n        super();\n    }\n    /**\n     * Pre-tokenizes the input text by splitting it on whitespace characters.\n     * @param {string} text The text to be pre-tokenized.\n     * @param {Object} [options] Additional options for the pre-tokenization logic.\n     * @returns {string[]} An array of tokens produced by splitting the input text on whitespace.\n     */\n    pre_tokenize_text(text, options) {\n        return whitespace_split(text);\n    }\n}\n\n// NOTE: `ReplacePreTokenizer` is custom (to support `BlenderbotSmallTokenizer`)\nclass ReplacePreTokenizer extends PreTokenizer {\n    /**\n     * @param {Object} config The configuration options for the pre-tokenizer.\n     * @param {Object} config.pattern The pattern used to split the text. Can be a string or a regex object.\n     * @param {string} config.content What to replace the pattern with.\n     */\n    constructor(config) {\n        super();\n        this.config = config;\n        this.pattern = createPattern(this.config.pattern);\n        this.content = this.config.content;\n    }\n\n    /**\n     * Pre-tokenizes the input text by replacing certain characters.\n     * @param {string} text The text to be pre-tokenized.\n     * @param {Object} [options] Additional options for the pre-tokenization logic.\n     * @returns {string[]} An array of tokens produced by replacing certain characters.\n     */\n    pre_tokenize_text(text, options) {\n        if (this.pattern === null) {\n            return [text];\n        }\n        return [text.replaceAll(this.pattern, this.config.content)];\n    }\n}\n\nconst SPECIAL_TOKEN_ATTRIBUTES = [\n    'bos_token',\n    'eos_token',\n    'unk_token',\n    'sep_token',\n    'pad_token',\n    'cls_token',\n    'mask_token',\n    // additional_special_tokens (TODO)\n]\n\n/**\n * \n * Helper function for padding values of an object, which are each arrays.\n * NOTE: No additional checks are made here for validity of arguments.\n * @param {Record<string, any[]>} item The input object.\n * @param {number} length The length to pad to.\n * @param {(key: string) => any} value_fn Determine the value to fill the array, based on its key.\n * @param {'right'|'left'} side Which side to pad the array.\n * @private\n */\nfunction padHelper(item, length, value_fn, side) {\n    for (const key of Object.keys(item)) {\n        const diff = length - item[key].length;\n        const value = value_fn(key);\n\n        const padData = new Array(diff).fill(value);\n        item[key] = side === 'right'\n            ? mergeArrays(item[key], padData)\n            : mergeArrays(padData, item[key]);\n    }\n}\n\n/**\n * Helper function for truncating values of an object, which are each arrays.\n * NOTE: No additional checks are made here for validity of arguments.\n * @param {Record<string, any[]>} item The input object.\n * @param {number} length The length to truncate to.\n * @private\n */\nfunction truncateHelper(item, length) {\n    // Setting .length to a lower value truncates the array in-place:\n    // https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/length\n    for (const key of Object.keys(item)) {\n        item[key].length = length;\n    }\n}\n\n\n/**\n * @typedef {Object} Message\n * @property {string} role The role of the message (e.g., \"user\" or \"assistant\" or \"system\").\n * @property {string} content The content of the message.\n */\n\nexport class PreTrainedTokenizer extends Callable {\n    return_token_type_ids = false;\n\n    _default_chat_template = `{% for message in messages %}{{'<|im_start|>' + message['role'] + '\\n' + message['content'] + '<|im_end|>' + '\\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\\n' }}{% endif %}`;\n\n    /**\n     * Create a new PreTrainedTokenizer instance.\n     * @param {Object} tokenizerJSON The JSON of the tokenizer.\n     * @param {Object} tokenizerConfig The config of the tokenizer.\n     */\n    constructor(tokenizerJSON, tokenizerConfig) {\n        super();\n\n        this._tokenizer_config = tokenizerConfig;\n\n        // Construct parts of the tokenizer from the JSON\n        this.normalizer = Normalizer.fromConfig(tokenizerJSON.normalizer);\n        this.pre_tokenizer = PreTokenizer.fromConfig(tokenizerJSON.pre_tokenizer);\n        this.model = TokenizerModel.fromConfig(tokenizerJSON.model, tokenizerConfig);\n        this.post_processor = PostProcessor.fromConfig(tokenizerJSON.post_processor);\n        this.decoder = Decoder.fromConfig(tokenizerJSON.decoder);\n\n        // Add added_tokens to model\n        this.special_tokens = [];\n        this.all_special_ids = [];\n\n        /** @type {AddedToken[]} */\n        this.added_tokens = [];\n        for (const addedToken of tokenizerJSON.added_tokens) {\n            const token = new AddedToken(addedToken);\n            this.added_tokens.push(token);\n\n            this.model.tokens_to_ids.set(token.content, token.id);\n            this.model.vocab[token.id] = token.content;\n\n            if (token.special) {\n                this.special_tokens.push(token.content);\n                this.all_special_ids.push(token.id);\n            }\n        }\n\n        // Update additional_special_tokens\n        this.additional_special_tokens = tokenizerConfig.additional_special_tokens ?? [];\n        this.special_tokens.push(...this.additional_special_tokens);\n        this.special_tokens = [...new Set(this.special_tokens)]; // Remove duplicates\n\n        if (this.decoder) {\n            // Slight hack, but it prevents code duplication:\n            this.decoder.added_tokens = this.added_tokens;\n\n            // Another slight hack to add `end_of_word_suffix` (if present) to the decoder\n            // This is needed for cases where BPE model and ByteLevel decoder are used\n            // For more information, see https://github.com/xenova/transformers.js/issues/74\n            // TODO: save this to the decoder when exporting?\n            this.decoder.end_of_word_suffix = this.model.end_of_word_suffix;\n        }\n\n\n        this.added_tokens_regex = this.added_tokens.length > 0 ? new RegExp(\n            this.added_tokens.map(x => `${x.lstrip ? '\\\\s*' : ''}(${escapeRegExp(x.content)})${x.rstrip ? '\\\\s*' : ''}`).join('|')\n        ) : null;\n\n        // Set mask token if present (otherwise will be undefined, which is fine)\n        this.mask_token = this.getToken('mask_token');\n        this.mask_token_id = this.model.tokens_to_ids.get(this.mask_token);\n\n        this.pad_token = this.getToken('pad_token', 'eos_token');\n        this.pad_token_id = this.model.tokens_to_ids.get(this.pad_token);\n\n        this.sep_token = this.getToken('sep_token');\n        this.sep_token_id = this.model.tokens_to_ids.get(this.sep_token);\n\n        this.unk_token = this.getToken('unk_token');\n        this.unk_token_id = this.model.tokens_to_ids.get(this.unk_token);\n\n        this.model_max_length = tokenizerConfig.model_max_length;\n\n        /** @type {boolean} Whether or not to strip the text when tokenizing (removing excess spaces before and after the string). */\n        this.remove_space = tokenizerConfig.remove_space;\n\n        this.clean_up_tokenization_spaces = tokenizerConfig.clean_up_tokenization_spaces ?? true;\n        this.do_lowercase_and_remove_accent = tokenizerConfig.do_lowercase_and_remove_accent ?? false;\n\n        // TODO allow user to change this\n        /** @type {'right'|'left'} */\n        this.padding_side = 'right';\n\n        this.legacy = false;\n\n        this.chat_template = tokenizerConfig.chat_template ?? null;\n        if (Array.isArray(this.chat_template)) {\n            // Chat templates are stored as lists of dicts with fixed key names,\n            // we reconstruct that into a single dict while loading them.\n            const chat_template = Object.create(null);\n            for (const { name, template } of this.chat_template) {\n                if (typeof name !== 'string' || typeof template !== 'string') {\n                    throw new Error('Chat template must be a list of objects with \"name\" and \"template\" properties');\n                }\n                chat_template[name] = template;\n            }\n            this.chat_template = chat_template;\n        }\n        this._compiled_template_cache = new Map();\n    }\n\n    /**\n     * Returns the value of the first matching key in the tokenizer config object.\n     * @param {...string} keys One or more keys to search for in the tokenizer config object.\n     * @returns {string|null} The value associated with the first matching key, or null if no match is found.\n     * @throws {Error} If an object is found for a matching key and its __type property is not \"AddedToken\".\n     */\n    getToken(...keys) {\n        for (const key of keys) {\n            const item = this._tokenizer_config[key];\n\n            if (!item) continue;\n\n            if (typeof item === 'object') {\n                if (item.__type === 'AddedToken') {\n                    return item.content;\n                } else {\n                    throw Error(`Unknown token: ${item}`);\n                }\n            } else {\n                return item;\n            }\n        }\n        return null;\n    }\n\n    /**\n     * Loads a pre-trained tokenizer from the given `pretrained_model_name_or_path`. \n     * \n     * @param {string} pretrained_model_name_or_path The path to the pre-trained tokenizer.\n     * @param {PretrainedTokenizerOptions} options Additional options for loading the tokenizer.\n     * \n     * @throws {Error} Throws an error if the tokenizer.json or tokenizer_config.json files are not found in the `pretrained_model_name_or_path`.\n     * @returns {Promise<PreTrainedTokenizer>} A new instance of the `PreTrainedTokenizer` class.\n     */\n    static async from_pretrained(pretrained_model_name_or_path, {\n        progress_callback = null,\n        config = null,\n        cache_dir = null,\n        local_files_only = false,\n        revision = 'main',\n        legacy = null,\n    } = {}) {\n\n        const info = await loadTokenizer(pretrained_model_name_or_path, {\n            progress_callback,\n            config,\n            cache_dir,\n            local_files_only,\n            revision,\n            legacy,\n        })\n\n        // @ts-ignore\n        return new this(...info);\n    }\n\n    /**\n     * @typedef {number[]|number[][]|Tensor} BatchEncodingItem\n     * \n     * @typedef {Object} BatchEncoding Holds the output of the tokenizer's call function.\n     * @property {BatchEncodingItem} input_ids List of token ids to be fed to a model.\n     * @property {BatchEncodingItem} attention_mask List of indices specifying which tokens should be attended to by the model.\n     * @property {BatchEncodingItem} [token_type_ids] List of token type ids to be fed to a model.\n     */\n\n    /**\n     * Encode/tokenize the given text(s).\n     * @param {string|string[]} text The text to tokenize.\n     * @param {Object} options An optional object containing the following properties:\n     * @param {string|string[]} [options.text_pair=null] Optional second sequence to be encoded. If set, must be the same type as text.\n     * @param {boolean|'max_length'} [options.padding=false] Whether to pad the input sequences.\n     * @param {boolean} [options.add_special_tokens=true] Whether or not to add the special tokens associated with the corresponding model.\n     * @param {boolean} [options.truncation=null] Whether to truncate the input sequences.\n     * @param {number} [options.max_length=null] Maximum length of the returned list and optionally padding length.\n     * @param {boolean} [options.return_tensor=true] Whether to return the results as Tensors or arrays.\n     * @param {boolean} [options.return_token_type_ids=null] Whether to return the token type ids.\n     * @returns {BatchEncoding} Object to be passed to the model.\n     */\n    _call(\n        // Required positional arguments\n        text,\n\n        // Optional keyword arguments\n        {\n            text_pair = null,\n            add_special_tokens = true,\n            padding = false,\n            truncation = null,\n            max_length = null,\n            return_tensor = true, // Different to HF\n            return_token_type_ids = null,\n        } = {},\n    ) {\n\n        const isBatched = Array.isArray(text);\n\n        /** @type {EncodingSingle[]} */\n        let encodedTokens;\n\n        if (isBatched) {\n            if (text.length === 0) {\n                throw Error('text array must be non-empty')\n            }\n\n            if (text_pair !== null) {\n                if (!Array.isArray(text_pair)) {\n                    throw Error('text_pair must also be an array')\n\n                } else if (text.length !== text_pair.length) {\n                    throw Error('text and text_pair must have the same length')\n                }\n\n                encodedTokens = text.map(\n                    (t, i) => this._encode_plus(t, text_pair[i], { add_special_tokens, return_token_type_ids })\n                )\n\n            } else {\n                encodedTokens = text.map(x => this._encode_plus(x, null, { add_special_tokens, return_token_type_ids }));\n            }\n\n        } else {\n            if (text === null || text === undefined) {\n                throw Error('text may not be null or undefined')\n            }\n\n            if (Array.isArray(text_pair)) {\n                throw Error('When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).')\n            }\n\n            // For single input, we just wrap in an array, and then unwrap later.\n            encodedTokens = [this._encode_plus(text, text_pair, { add_special_tokens, return_token_type_ids })];\n        }\n        // At this point, tokens is batched: [batch_size, tokens]\n        // However, array may be jagged. So, we pad to max_length\n\n        if (max_length === null) {\n            if (padding === 'max_length') {\n                max_length = this.model_max_length;\n            } else {\n                // Calculate max length from sequences\n                max_length = max(encodedTokens.map(x => x.input_ids.length))[0];\n            }\n        } else {\n            if (!truncation) {\n                console.warn(`Truncation was not explicitly activated but \\`max_length\\` is provided a specific value, please use \\`truncation=true\\` to explicitly truncate examples to max length.`)\n            }\n        }\n\n        // Ensure it is less than model max length\n        max_length = Math.min(max_length, this.model_max_length)\n\n        if (padding || truncation) {\n\n            // Perform padding and/or truncation\n            for (let i = 0; i < encodedTokens.length; ++i) {\n                if (encodedTokens[i].input_ids.length === max_length) {\n                    continue;\n\n                } else if (encodedTokens[i].input_ids.length > max_length) {\n                    // possibly truncate\n                    if (truncation) {\n                        truncateHelper(encodedTokens[i], max_length);\n                    }\n\n                } else { // t.length < max_length\n                    // possibly pad\n                    if (padding) {\n                        padHelper(\n                            encodedTokens[i],\n                            max_length,\n                            key => key === 'input_ids' ? this.pad_token_id : 0,\n                            this.padding_side\n                        );\n                    }\n                }\n            }\n        }\n\n        const result = {};\n\n        if (return_tensor) {\n            if (!(padding && truncation)) {\n                // Not, guaranteed that all items have same length, so\n                // we perform additional check\n\n                if (\n                    encodedTokens.some(x => {\n                        for (const key of Object.keys(x)) {\n                            if (x[key].length !== encodedTokens[0][key]?.length) {\n                                return true;\n                            }\n                        }\n                        return false;\n                    })\n                ) {\n                    throw Error(\n                        \"Unable to create tensor, you should probably activate truncation and/or padding \" +\n                        \"with 'padding=true' and 'truncation=true' to have batched tensors with the same length.\"\n                    )\n                }\n            }\n\n            // Now we actually convert to tensor\n            // NOTE: In the same way as the python library, we return a batched tensor, regardless of\n            // whether we have a single input or multiple inputs.\n            const dims = [encodedTokens.length, encodedTokens[0].input_ids.length];\n\n            for (const key of Object.keys(encodedTokens[0])) {\n                result[key] = new Tensor('int64',\n                    BigInt64Array.from(encodedTokens.flatMap(x => x[key]).map(BigInt)),\n                    dims\n                );\n            }\n\n        } else {\n            for (const key of Object.keys(encodedTokens[0])) {\n                result[key] = encodedTokens.map(x => x[key]);\n            }\n\n            // If not returning a tensor, we match the input type\n            if (!isBatched) {\n                // Input was not batched, so we unwrap\n                for (const key of Object.keys(result)) {\n                    result[key] = result[key][0];\n                }\n            }\n        }\n\n        return /** @type {BatchEncoding} */(result);\n    }\n\n    /**\n     * Encodes a single text using the preprocessor pipeline of the tokenizer.\n     *\n     * @param {string|null} text The text to encode.\n     * @returns {string[]|null} The encoded tokens.\n     */\n    _encode_text(text) {\n        if (text === null) return null;\n\n        // Actual function which does encoding, for a single text\n        // First, we take care of special tokens. Needed to avoid issues arising from\n        // normalization and/or pretokenization (which may not preserve special tokens)\n        const sections = this.added_tokens_regex ? text.split(this.added_tokens_regex).filter(x => x) : [text];\n\n        const tokens = sections.map((x, section_index) => {\n            const addedToken = this.added_tokens.find(t => t.content === x);\n            if (addedToken !== undefined) {\n                // Ignore added tokens\n                return x\n            } else {\n                if (this.remove_space === true) {\n                    x = x.trim().split(/\\s+/).join(' ');\n                }\n                if (this.do_lowercase_and_remove_accent) {\n                    x = lowercase_and_remove_accent(x);\n                }\n\n                if (this.normalizer !== null) {\n                    x = this.normalizer(x);\n                }\n\n                // If, after normalization, this section is empty (e.g., trimming whitespace),\n                // we return an empty array\n                if (x.length === 0) {\n                    return [];\n                }\n\n                const sectionTokens = (this.pre_tokenizer !== null) ? this.pre_tokenizer(x, {\n                    section_index,\n                }) : [x];\n\n                const tokens = this.model(sectionTokens);\n\n                return tokens;\n            }\n        }).flat();\n\n        return tokens;\n    }\n\n    /**\n     * Encodes a single text or a pair of texts using the model's tokenizer.\n     *\n     * @param {string} text The text to encode.\n     * @param {string|null} text_pair The optional second text to encode.\n     * @param {Object} options An optional object containing the following properties:\n     * @param {boolean} [options.add_special_tokens=true] Whether or not to add the special tokens associated with the corresponding model.\n     * @param {boolean} [options.return_token_type_ids=null] Whether to return token_type_ids.\n     * @returns {EncodingSingle} An object containing the encoded text.\n     * @private\n     */\n    _encode_plus(text, text_pair = null, {\n        add_special_tokens = true,\n        return_token_type_ids = null,\n    } = {}) {\n        // Function called by users to encode possibly multiple texts\n        const tokens = this._encode_text(text);\n        const tokens2 = this._encode_text(text_pair);\n\n        const combinedTokens = this.post_processor\n            ? this.post_processor(tokens, tokens2, { add_special_tokens })\n            : { tokens: mergeArrays(tokens ?? [], tokens2 ?? []) };\n\n        const input_ids = this.model.convert_tokens_to_ids(combinedTokens.tokens);\n\n        const result = {\n            input_ids,\n            attention_mask: new Array(input_ids.length).fill(1),\n        }\n        if ((return_token_type_ids ?? this.return_token_type_ids) && combinedTokens.token_type_ids) {\n            result.token_type_ids = combinedTokens.token_type_ids;\n        }\n        return result;\n    }\n\n    /**\n     * Encodes a single text or a pair of texts using the model's tokenizer.\n     *\n     * @param {string} text The text to encode.\n     * @param {string|null} text_pair The optional second text to encode.\n     * @param {Object} options An optional object containing the following properties:\n     * @param {boolean} [options.add_special_tokens=true] Whether or not to add the special tokens associated with the corresponding model.\n     * @param {boolean} [options.return_token_type_ids=null] Whether to return token_type_ids.\n     * @returns {number[]} An array of token IDs representing the encoded text(s).\n     */\n    encode(text, text_pair = null, {\n        add_special_tokens = true,\n        return_token_type_ids = null,\n    } = {}) {\n        const { input_ids } = this._encode_plus(text, text_pair, {\n            add_special_tokens,\n            return_token_type_ids,\n        });\n        return input_ids;\n    }\n\n    /**\n     * Decode a batch of tokenized sequences.\n     * @param {number[][]|Tensor} batch List/Tensor of tokenized input sequences.\n     * @param {Object} decode_args (Optional) Object with decoding arguments.\n     * @returns {string[]} List of decoded sequences.\n     */\n    batch_decode(batch, decode_args = {}) {\n        if (batch instanceof Tensor) {\n            batch = batch.tolist();\n        }\n        return batch.map(x => this.decode(x, decode_args));\n    }\n\n    /**\n     * Decodes a sequence of token IDs back to a string.\n     *\n     * @param {number[]|Tensor} token_ids List/Tensor of token IDs to decode.\n     * @param {Object} [decode_args={}]\n     * @param {boolean} [decode_args.skip_special_tokens=false] If true, special tokens are removed from the output string.\n     * @param {boolean} [decode_args.clean_up_tokenization_spaces=true] If true, spaces before punctuations and abbreviated forms are removed.\n     *\n     * @returns {string} The decoded string.\n     * @throws {Error} If `token_ids` is not a non-empty array of integers.\n     */\n    decode(\n        token_ids,\n        decode_args = {},\n    ) {\n        if (token_ids instanceof Tensor) {\n            token_ids = prepareTensorForDecode(token_ids);\n        }\n\n        if (!Array.isArray(token_ids) || token_ids.length === 0 || !isIntegralNumber(token_ids[0])) {\n            throw Error(\"token_ids must be a non-empty array of integers.\");\n        }\n\n        return this.decode_single(token_ids, decode_args)\n    }\n\n    /**\n     * Decode a single list of token ids to a string.\n     * @param {number[]} token_ids List of token ids to decode\n     * @param {Object} decode_args Optional arguments for decoding\n     * @param {boolean} [decode_args.skip_special_tokens=false] Whether to skip special tokens during decoding\n     * @param {boolean} [decode_args.clean_up_tokenization_spaces=null] Whether to clean up tokenization spaces during decoding.\n     * If null, the value is set to `this.decoder.cleanup` if it exists, falling back to `this.clean_up_tokenization_spaces` if it exists, falling back to `true`.\n     * @returns {string} The decoded string\n     */\n    decode_single(\n        token_ids,\n        {\n            skip_special_tokens = false,\n            clean_up_tokenization_spaces = null,\n        }\n    ) {\n        let tokens = this.model.convert_ids_to_tokens(token_ids);\n        if (skip_special_tokens) {\n            tokens = tokens.filter(x => !this.special_tokens.includes(x));\n        }\n\n        // If `this.decoder` is null, we just join tokens with a space:\n        // https://github.com/huggingface/tokenizers/blob/8edec536a737cb04494b454805be16c020abb14f/tokenizers/src/tokenizer/mod.rs#L835\n        /** @type {string} */\n        let decoded = this.decoder ? this.decoder(tokens) : tokens.join(' ');\n\n        // Slight hack, but prevents having to pass `skip_special_tokens` to\n        // each call to `decode`, which would lead to code duplication.\n        if (this.decoder && this.decoder.end_of_word_suffix) {\n            decoded = decoded.replaceAll(this.decoder.end_of_word_suffix, ' ');\n            if (skip_special_tokens) {\n                decoded = decoded.trim();\n            }\n        }\n\n        if (clean_up_tokenization_spaces ?? this.clean_up_tokenization_spaces) {\n            decoded = clean_up_tokenization(decoded);\n        }\n\n        return decoded;\n    }\n\n    get default_chat_template() {\n        if (!this._warned_about_chat_template) {\n            console.warn(\n                \"No chat template is defined for this tokenizer - using a default chat template \" +\n                \"that implements the ChatML format. If the default is not appropriate for \" +\n                \"your model, please set `tokenizer.chat_template` to an appropriate template. \" +\n                \"See https://huggingface.co/docs/transformers/main/chat_templating for more information.\"\n            )\n            this._warned_about_chat_template = true; // TODO move to logger.warning_once()\n        }\n\n        return this._default_chat_template;\n    }\n\n    /**\n     * Converts a list of message objects with `\"role\"` and `\"content\"` keys to a list of token\n     * ids. This method is intended for use with chat models, and will read the tokenizer's chat_template attribute to\n     * determine the format and control tokens to use when converting. When chat_template is None, it will fall back\n     * to the default_chat_template specified at the class level.\n     * \n     * See [here](https://huggingface.co/docs/transformers/chat_templating) for more information.\n     * \n     * **Example:** Applying a chat template to a conversation.\n     * \n     * ```javascript\n     * import { AutoTokenizer } from \"@xenova/transformers\";\n     * \n     * const tokenizer = await AutoTokenizer.from_pretrained(\"Xenova/mistral-tokenizer-v1\");\n     * \n     * const chat = [\n     *   { \"role\": \"user\", \"content\": \"Hello, how are you?\" },\n     *   { \"role\": \"assistant\", \"content\": \"I'm doing great. How can I help you today?\" },\n     *   { \"role\": \"user\", \"content\": \"I'd like to show off how chat templating works!\" },\n     * ]\n     * \n     * const text = tokenizer.apply_chat_template(chat, { tokenize: false });\n     * // \"<s>[INST] Hello, how are you? [/INST]I'm doing great. How can I help you today?</s> [INST] I'd like to show off how chat templating works! [/INST]\"\n     * \n     * const input_ids = tokenizer.apply_chat_template(chat, { tokenize: true, return_tensor: false });\n     * // [1, 733, 16289, 28793, 22557, 28725, 910, 460, 368, 28804, 733, 28748, 16289, 28793, 28737, 28742, 28719, 2548, 1598, 28723, 1602, 541, 315, 1316, 368, 3154, 28804, 2, 28705, 733, 16289, 28793, 315, 28742, 28715, 737, 298, 1347, 805, 910, 10706, 5752, 1077, 3791, 28808, 733, 28748, 16289, 28793]\n     * ```\n     * \n     * @param {Message[]} conversation A list of message objects with `\"role\"` and `\"content\"` keys.\n     * @param {Object} options An optional object containing the following properties:\n     * @param {string} [options.chat_template=null] A Jinja template to use for this conversion. If\n     * this is not passed, the model's default chat template will be used instead.\n     * @param {boolean} [options.add_generation_prompt=false] Whether to end the prompt with the token(s) that indicate\n     * the start of an assistant message. This is useful when you want to generate a response from the model.\n     * Note that this argument will be passed to the chat template, and so it must be supported in the\n     * template for this argument to have any effect.\n     * @param {boolean} [options.tokenize=true] Whether to tokenize the output. If false, the output will be a string.\n     * @param {boolean} [options.padding=false] Whether to pad sequences to the maximum length. Has no effect if tokenize is false.\n     * @param {boolean} [options.truncation=false] Whether to truncate sequences to the maximum length. Has no effect if tokenize is false.\n     * @param {number} [options.max_length=null] Maximum length (in tokens) to use for padding or truncation. Has no effect if tokenize is false.\n     * If not specified, the tokenizer's `max_length` attribute will be used as a default.\n     * @param {boolean} [options.return_tensor=true] Whether to return the output as a Tensor or an Array. Has no effect if tokenize is false.\n     * @param {Object} [options.tokenizer_kwargs={}] Additional options to pass to the tokenizer.\n     * @returns {string | Tensor | number[]| number[][]} The tokenized output.\n     */\n    apply_chat_template(conversation, {\n        chat_template = null,\n        add_generation_prompt = false,\n        tokenize = true,\n        padding = false,\n        truncation = false,\n        max_length = null,\n        return_tensor = true,\n        tokenizer_kwargs = {},\n        ...kwargs\n    } = {}) {\n\n        // First, handle the cases when the model has a dict of multiple templates\n        if (\n            (this.chat_template && typeof this.chat_template === 'object') ||\n            (this.chat_template === null && this.default_chat_template && typeof this.default_chat_template === 'object')\n        ) {\n            const template_dict = this.chat_template ?? this.default_chat_template; // Guaranteed to be a non-null object\n\n            if (chat_template !== null && Object.hasOwn(template_dict, chat_template)) {\n                // The user can pass the name of a template to the chat template argument instead of an entire template\n                chat_template = template_dict[chat_template];\n            } else if (chat_template === null && 'default' in template_dict) {\n                chat_template = template_dict['default'];\n            } else if (chat_template === null) {\n                throw Error(\n                    `This model has multiple chat templates with no default specified! Please either pass a chat ` +\n                    `template or the name of the template you wish to use to the 'chat_template' argument. Available ` +\n                    `template names are ${Object.keys(template_dict).sort()}.`\n                )\n            }\n        } else {\n            // These are the cases when the model has a single template\n            // priority: `chat_template` argument > `tokenizer.chat_template` > `tokenizer.default_chat_template\n            chat_template ??= this.chat_template ?? this.default_chat_template;\n        }\n        if (typeof chat_template !== 'string') {\n            throw Error(`chat_template must be a string, but got ${typeof chat_template}`);\n        }\n\n        // Compilation function uses a cache to avoid recompiling the same template\n        let compiledTemplate = this._compiled_template_cache.get(chat_template);\n        if (compiledTemplate === undefined) {\n            compiledTemplate = new Template(chat_template);\n            this._compiled_template_cache.set(chat_template, compiledTemplate);\n        }\n\n        const special_tokens_map = Object.create(null);\n        for (const key of SPECIAL_TOKEN_ATTRIBUTES) {\n            const value = this.getToken(key);\n            if (value) {\n                special_tokens_map[key] = value;\n            }\n        }\n\n        const rendered = compiledTemplate.render({\n            messages: conversation,\n            add_generation_prompt: add_generation_prompt,\n\n            ...special_tokens_map,\n            ...kwargs,\n        });\n\n        if (tokenize) {\n            return this._call(rendered, {\n                add_special_tokens: false,\n                padding,\n                truncation,\n                max_length,\n                return_tensor,\n                ...tokenizer_kwargs,\n            }).input_ids;\n        }\n\n        return rendered;\n    }\n}\n\n/**\n * BertTokenizer is a class used to tokenize text for BERT models.\n * @extends PreTrainedTokenizer\n */\nexport class BertTokenizer extends PreTrainedTokenizer {\n    return_token_type_ids = true;\n}\n/**\n * Albert tokenizer\n * @extends PreTrainedTokenizer\n */\nexport class AlbertTokenizer extends PreTrainedTokenizer {\n    return_token_type_ids = true;\n}\nexport class MobileBertTokenizer extends PreTrainedTokenizer {\n    return_token_type_ids = true;\n}\nexport class SqueezeBertTokenizer extends PreTrainedTokenizer {\n    return_token_type_ids = true;\n}\nexport class DebertaTokenizer extends PreTrainedTokenizer {\n    return_token_type_ids = true;\n}\nexport class DebertaV2Tokenizer extends PreTrainedTokenizer {\n    return_token_type_ids = true;\n}\nexport class HerbertTokenizer extends PreTrainedTokenizer {\n    return_token_type_ids = true;\n}\nexport class ConvBertTokenizer extends PreTrainedTokenizer {\n    return_token_type_ids = true;\n}\nexport class RoFormerTokenizer extends PreTrainedTokenizer {\n    return_token_type_ids = true;\n}\nexport class DistilBertTokenizer extends PreTrainedTokenizer { }\nexport class CamembertTokenizer extends PreTrainedTokenizer { }\nexport class XLMTokenizer extends PreTrainedTokenizer {\n    return_token_type_ids = true;\n\n    constructor(tokenizerJSON, tokenizerConfig) {\n        super(tokenizerJSON, tokenizerConfig);\n        console.warn('WARNING: `XLMTokenizer` is not yet supported by Hugging Face\\'s \"fast\" tokenizers library. Therefore, you may experience slightly inaccurate results.')\n    }\n}\nexport class ElectraTokenizer extends PreTrainedTokenizer {\n    return_token_type_ids = true;\n}\n\nexport class T5Tokenizer extends PreTrainedTokenizer { }\nexport class GPT2Tokenizer extends PreTrainedTokenizer {\n    _default_chat_template = `{% for message in messages %}\" \"{{ message.content }}{{ eos_token }}\" \"{% endfor %}`\n}\nexport class BartTokenizer extends PreTrainedTokenizer { }\nexport class MBartTokenizer extends PreTrainedTokenizer {\n    constructor(tokenizerJSON, tokenizerConfig) {\n        super(tokenizerJSON, tokenizerConfig);\n\n        this.languageRegex = /^[a-z]{2}_[A-Z]{2}$/;\n        this.language_codes = this.special_tokens.filter(x => this.languageRegex.test(x));\n        this.lang_to_token = x => x; // Identity function\n    }\n\n    /**\n     * Helper function to build translation inputs for an `MBartTokenizer`.\n     * @param {string|string[]} raw_inputs The text to tokenize.\n     * @param {Object} tokenizer_options Options to be sent to the tokenizer\n     * @param {Object} generate_kwargs Generation options.\n     * @returns {Object} Object to be passed to the model.\n     */\n    _build_translation_inputs(raw_inputs, tokenizer_options, generate_kwargs) {\n        return _build_translation_inputs(this, raw_inputs, tokenizer_options, generate_kwargs);\n    }\n}\nexport class MBart50Tokenizer extends MBartTokenizer { } // NOTE: extends MBartTokenizer\n\nexport class RobertaTokenizer extends PreTrainedTokenizer { }\n\nexport class BloomTokenizer extends GPT2Tokenizer { // NOTE: `GPT2Tokenizer` to get the correct chat template\n\n    constructor(tokenizerJSON, tokenizerConfig) {\n        // Override the default (invalid) regex of the pretokenizer.\n        // For more information, see https://github.com/xenova/transformers.js/issues/94\n        const splitChars = '.,!?\\u2026\\u3002\\uff0c\\u3001\\u0964\\u06d4\\u060c';\n        const patternObject = tokenizerJSON.pre_tokenizer?.pretokenizers[0]?.pattern;\n        if (patternObject && patternObject.Regex === ` ?[^(\\\\s|[${splitChars}])]+`) {\n            patternObject.Regex = ` ?[^\\\\s${splitChars}]+`;\n        }\n        super(tokenizerJSON, tokenizerConfig);\n    }\n}\n\nconst SPIECE_UNDERLINE = \"▁\";\n\nexport class LlamaTokenizer extends PreTrainedTokenizer {\n    _default_chat_template = `{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% elif USE_DEFAULT_PROMPT == true and not '<<SYS>>' in messages[0]['content'] %}{% set loop_messages = messages %}{% set system_message = 'DEFAULT_SYSTEM_MESSAGE' %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content.strip() + ' [/INST]' }}{% elif message['role'] == 'system' %}{{ '<<SYS>>\\n' + content.strip() + '\\n<</SYS>>\\n\\n' }}{% elif message['role'] == 'assistant' %}{{ ' '  + content.strip() + ' ' + eos_token }}{% endif %}{% endfor %}`\n\n    DEFAULT_SYSTEM_PROMPT =\n        \"You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your \" +\n        \"answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure \" +\n        \"that your responses are socially unbiased and positive in nature.\\n\\n\" +\n        \"If a question does not make any sense, or is not factually coherent, explain why instead of answering something not \" +\n        \"correct. If you don't know the answer to a question, please don't share false information.\"\n\n    constructor(tokenizerJSON, tokenizerConfig) {\n        super(tokenizerJSON, tokenizerConfig);\n        this.use_default_system_prompt = tokenizerConfig.use_default_system_prompt ?? false;\n\n        this.legacy = tokenizerConfig.legacy ?? true;\n        if (!this.legacy) {\n            // See https://github.com/huggingface/transformers/pull/24565 for more information\n            this.normalizer = null;\n            this.pre_tokenizer = new MetaspacePreTokenizer({\n                replacement: SPIECE_UNDERLINE,\n                add_prefix_space: true,\n                prepend_scheme: \"first\",\n            });\n        }\n    }\n\n    /**\n     * Helper function to handle legacy encoding of SPM tokenizers.\n     * Adapted from https://github.com/huggingface/transformers/blob/e6dcf8abd6f65bb4b6dfc1831b20d9ba49ce00e2/src/transformers/models/t5/tokenization_t5.py#L374-L387\n     * @param {string} text The text to encode.\n     * @returns {string[]} The encoded tokens.\n     */\n    _encode_text(text) {\n        if (text === null) return null;\n\n        if (this.legacy || text.length === 0) {\n            return super._encode_text(text);\n        }\n\n        let tokens = super._encode_text(SPIECE_UNDERLINE + text.replaceAll(SPIECE_UNDERLINE, \" \"));\n        if (tokens.length > 1 && tokens[0] === SPIECE_UNDERLINE && this.special_tokens.includes(tokens[1])) {\n            tokens = tokens.slice(1);\n        }\n        return tokens;\n    }\n\n    get default_chat_template() {\n        return super.default_chat_template\n            .replaceAll('USE_DEFAULT_PROMPT', this.use_default_system_prompt ? 'true' : 'false')\n            .replaceAll('DEFAULT_SYSTEM_MESSAGE', this.DEFAULT_SYSTEM_PROMPT.replaceAll(\"\\n\", \"\\\\n\").replaceAll(\"'\", \"\\\\'\"));\n    }\n}\nexport class CodeLlamaTokenizer extends LlamaTokenizer { } // NOTE: `LlamaTokenizer` to get the correct chat template\n\nexport class XLMRobertaTokenizer extends PreTrainedTokenizer { }\nexport class MPNetTokenizer extends PreTrainedTokenizer { }\n\nexport class FalconTokenizer extends PreTrainedTokenizer { }\n\nexport class GPTNeoXTokenizer extends PreTrainedTokenizer { }\n\nexport class EsmTokenizer extends PreTrainedTokenizer { }\n\nexport class Qwen2Tokenizer extends PreTrainedTokenizer { }\n\nexport class GemmaTokenizer extends PreTrainedTokenizer {\n    _default_chat_template = \"{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\\n' + message['content'] | trim + '<end_of_turn>\\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\\n'}}{% endif %}\"\n}\n\nexport class Grok1Tokenizer extends PreTrainedTokenizer { }\n\n/**\n * Helper function to build translation inputs for an `NllbTokenizer` or `M2M100Tokenizer`.\n * @param {PreTrainedTokenizer} self The tokenizer instance.\n * @param {string|string[]} raw_inputs The text to tokenize.\n * @param {Object} tokenizer_options Options to be sent to the tokenizer\n * @param {Object} generate_kwargs Generation options.\n * @returns {Object} Object to be passed to the model.\n * @private\n */\nfunction _build_translation_inputs(self, raw_inputs, tokenizer_options, generate_kwargs) {\n    if (!('language_codes' in self) || !Array.isArray(self.language_codes)) {\n        throw new Error('Tokenizer must have `language_codes` attribute set and it should be an array of language ids.')\n    }\n    if (!('languageRegex' in self) || !(self.languageRegex instanceof RegExp)) {\n        throw new Error('Tokenizer must have `languageRegex` attribute set and it should be a regular expression.')\n    }\n    if (!('lang_to_token' in self) || typeof self.lang_to_token !== 'function') {\n        throw new Error('Tokenizer must have `lang_to_token` attribute set and it should be a function.')\n    }\n    const src_lang_token = generate_kwargs.src_lang;\n    const tgt_lang_token = generate_kwargs.tgt_lang;\n\n    // Check that the target language is valid:\n    if (!self.language_codes.includes(tgt_lang_token)) {\n        throw new Error(`Target language code \"${tgt_lang_token}\" is not valid. Must be one of: {${self.language_codes.join(', ')}}`);\n    }\n\n    // Allow `src_lang` to be optional. If not set, we'll use the tokenizer's default.\n    if (src_lang_token !== undefined) {\n        // Check that the source language is valid:\n        if (!self.language_codes.includes(src_lang_token)) {\n            throw new Error(`Source language code \"${src_lang_token}\" is not valid. Must be one of: {${self.language_codes.join(', ')}}`);\n        }\n\n        // In the same way as the Python library, we override the post-processor\n        // to force the source language to be first:\n        for (const item of self.post_processor.config.single) {\n            if ('SpecialToken' in item && self.languageRegex.test(item.SpecialToken.id)) {\n                item.SpecialToken.id = self.lang_to_token(src_lang_token);\n                break;\n            }\n        }\n        // TODO: Do the same for pair?\n    }\n\n    // Override the `forced_bos_token_id` to force the correct language\n    generate_kwargs.forced_bos_token_id = self.model.convert_tokens_to_ids([self.lang_to_token(tgt_lang_token)])[0];\n\n    return self._call(raw_inputs, tokenizer_options);\n}\n\n/**\n * The NllbTokenizer class is used to tokenize text for NLLB (\"No Language Left Behind\") models.\n * \n * No Language Left Behind (NLLB) is a first-of-its-kind, AI breakthrough project\n * that open-sources models capable of delivering high-quality translations directly\n * between any pair of 200+ languages — including low-resource languages like Asturian,\n * Luganda, Urdu and more. It aims to help people communicate with anyone, anywhere,\n * regardless of their language preferences. For more information, check out their\n * [paper](https://arxiv.org/abs/2207.04672).\n * \n * For a list of supported languages (along with their language codes),\n * @see {@link https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200}\n */\nexport class NllbTokenizer extends PreTrainedTokenizer {\n\n    constructor(tokenizerJSON, tokenizerConfig) {\n        super(tokenizerJSON, tokenizerConfig);\n\n        this.languageRegex = /^[a-z]{3}_[A-Z][a-z]{3}$/;\n        this.language_codes = this.special_tokens.filter(x => this.languageRegex.test(x));\n        this.lang_to_token = x => x; // Identity function\n    }\n\n    /**\n     * Helper function to build translation inputs for an `NllbTokenizer`.\n     * @param {string|string[]} raw_inputs The text to tokenize.\n     * @param {Object} tokenizer_options Options to be sent to the tokenizer\n     * @param {Object} generate_kwargs Generation options.\n     * @returns {Object} Object to be passed to the model.\n     */\n    _build_translation_inputs(raw_inputs, tokenizer_options, generate_kwargs) {\n        return _build_translation_inputs(this, raw_inputs, tokenizer_options, generate_kwargs);\n    }\n}\n\n/**\n * The M2M100Tokenizer class is used to tokenize text for M2M100 (\"Many-to-Many\") models.\n * \n * M2M100 is a multilingual encoder-decoder (seq-to-seq) model trained for Many-to-Many\n * multilingual translation. It was introduced in this [paper](https://arxiv.org/abs/2010.11125)\n * and first released in [this](https://github.com/pytorch/fairseq/tree/master/examples/m2m_100) repository.\n * \n * For a list of supported languages (along with their language codes),\n * @see {@link https://huggingface.co/facebook/m2m100_418M#languages-covered}\n */\nexport class M2M100Tokenizer extends PreTrainedTokenizer {\n    constructor(tokenizerJSON, tokenizerConfig) {\n        super(tokenizerJSON, tokenizerConfig);\n\n        this.languageRegex = /^__[a-z]{2,3}__$/;\n        this.language_codes = this.special_tokens\n            .filter(x => this.languageRegex.test(x))\n            .map(x => x.slice(2, -2));\n        this.lang_to_token = x => `__${x}__`;\n    }\n\n    /**\n     * Helper function to build translation inputs for an `M2M100Tokenizer`.\n     * @param {string|string[]} raw_inputs The text to tokenize.\n     * @param {Object} tokenizer_options Options to be sent to the tokenizer\n     * @param {Object} generate_kwargs Generation options.\n     * @returns {Object} Object to be passed to the model.\n     */\n    _build_translation_inputs(raw_inputs, tokenizer_options, generate_kwargs) {\n        return _build_translation_inputs(this, raw_inputs, tokenizer_options, generate_kwargs);\n    }\n}\n\n\nconst WHISPER_LANGUAGES = [\n    [\"en\", \"english\"],\n    [\"zh\", \"chinese\"],\n    [\"de\", \"german\"],\n    [\"es\", \"spanish\"],\n    [\"ru\", \"russian\"],\n    [\"ko\", \"korean\"],\n    [\"fr\", \"french\"],\n    [\"ja\", \"japanese\"],\n    [\"pt\", \"portuguese\"],\n    [\"tr\", \"turkish\"],\n    [\"pl\", \"polish\"],\n    [\"ca\", \"catalan\"],\n    [\"nl\", \"dutch\"],\n    [\"ar\", \"arabic\"],\n    [\"sv\", \"swedish\"],\n    [\"it\", \"italian\"],\n    [\"id\", \"indonesian\"],\n    [\"hi\", \"hindi\"],\n    [\"fi\", \"finnish\"],\n    [\"vi\", \"vietnamese\"],\n    [\"he\", \"hebrew\"],\n    [\"uk\", \"ukrainian\"],\n    [\"el\", \"greek\"],\n    [\"ms\", \"malay\"],\n    [\"cs\", \"czech\"],\n    [\"ro\", \"romanian\"],\n    [\"da\", \"danish\"],\n    [\"hu\", \"hungarian\"],\n    [\"ta\", \"tamil\"],\n    [\"no\", \"norwegian\"],\n    [\"th\", \"thai\"],\n    [\"ur\", \"urdu\"],\n    [\"hr\", \"croatian\"],\n    [\"bg\", \"bulgarian\"],\n    [\"lt\", \"lithuanian\"],\n    [\"la\", \"latin\"],\n    [\"mi\", \"maori\"],\n    [\"ml\", \"malayalam\"],\n    [\"cy\", \"welsh\"],\n    [\"sk\", \"slovak\"],\n    [\"te\", \"telugu\"],\n    [\"fa\", \"persian\"],\n    [\"lv\", \"latvian\"],\n    [\"bn\", \"bengali\"],\n    [\"sr\", \"serbian\"],\n    [\"az\", \"azerbaijani\"],\n    [\"sl\", \"slovenian\"],\n    [\"kn\", \"kannada\"],\n    [\"et\", \"estonian\"],\n    [\"mk\", \"macedonian\"],\n    [\"br\", \"breton\"],\n    [\"eu\", \"basque\"],\n    [\"is\", \"icelandic\"],\n    [\"hy\", \"armenian\"],\n    [\"ne\", \"nepali\"],\n    [\"mn\", \"mongolian\"],\n    [\"bs\", \"bosnian\"],\n    [\"kk\", \"kazakh\"],\n    [\"sq\", \"albanian\"],\n    [\"sw\", \"swahili\"],\n    [\"gl\", \"galician\"],\n    [\"mr\", \"marathi\"],\n    [\"pa\", \"punjabi\"],\n    [\"si\", \"sinhala\"],\n    [\"km\", \"khmer\"],\n    [\"sn\", \"shona\"],\n    [\"yo\", \"yoruba\"],\n    [\"so\", \"somali\"],\n    [\"af\", \"afrikaans\"],\n    [\"oc\", \"occitan\"],\n    [\"ka\", \"georgian\"],\n    [\"be\", \"belarusian\"],\n    [\"tg\", \"tajik\"],\n    [\"sd\", \"sindhi\"],\n    [\"gu\", \"gujarati\"],\n    [\"am\", \"amharic\"],\n    [\"yi\", \"yiddish\"],\n    [\"lo\", \"lao\"],\n    [\"uz\", \"uzbek\"],\n    [\"fo\", \"faroese\"],\n    [\"ht\", \"haitian creole\"],\n    [\"ps\", \"pashto\"],\n    [\"tk\", \"turkmen\"],\n    [\"nn\", \"nynorsk\"],\n    [\"mt\", \"maltese\"],\n    [\"sa\", \"sanskrit\"],\n    [\"lb\", \"luxembourgish\"],\n    [\"my\", \"myanmar\"],\n    [\"bo\", \"tibetan\"],\n    [\"tl\", \"tagalog\"],\n    [\"mg\", \"malagasy\"],\n    [\"as\", \"assamese\"],\n    [\"tt\", \"tatar\"],\n    [\"haw\", \"hawaiian\"],\n    [\"ln\", \"lingala\"],\n    [\"ha\", \"hausa\"],\n    [\"ba\", \"bashkir\"],\n    [\"jw\", \"javanese\"],\n    [\"su\", \"sundanese\"],\n]\n\n// @ts-ignore\nconst WHISPER_LANGUAGE_MAPPING = new Map(WHISPER_LANGUAGES);\n// @ts-ignore\nconst WHISPER_TO_LANGUAGE_CODE_MAPPING = new Map([\n    ...WHISPER_LANGUAGES.map(([k, v]) => [v, k]),\n    ...[\n        [\"burmese\", \"my\"],\n        [\"valencian\", \"ca\"],\n        [\"flemish\", \"nl\"],\n        [\"haitian\", \"ht\"],\n        [\"letzeburgesch\", \"lb\"],\n        [\"pushto\", \"ps\"],\n        [\"panjabi\", \"pa\"],\n        [\"moldavian\", \"ro\"],\n        [\"moldovan\", \"ro\"],\n        [\"sinhalese\", \"si\"],\n        [\"castilian\", \"es\"],\n    ]\n]);\n\n/**\n * WhisperTokenizer tokenizer\n * @extends PreTrainedTokenizer\n */\nexport class WhisperTokenizer extends PreTrainedTokenizer {\n    _default_chat_template = `{% for message in messages %}\" \"{{ message.content }}{{ eos_token }}\" \"{% endfor %}`;\n\n    /**\n     * Decodes automatic speech recognition (ASR) sequences.\n     * @param {Array<{tokens: number[], token_timestamps?: number[], stride: number[]}>} sequences The sequences to decode.\n     * @param {Object} options The options to use for decoding.\n     * @returns {Array<string|{chunks?: undefined|Array<{language: string|null, timestamp: Array<number|null>, text: string}>}>} The decoded sequences.\n     */\n    _decode_asr(sequences, {\n        return_timestamps = false,\n        return_language = false,\n        time_precision = null,\n        force_full_sequences = true\n    } = {}) {\n        // Set force_full_sequences=false if you want streaming\n        // TODO add support for `return_language`\n\n        // Internal method meant to only be used by asr pipeline.\n        // Handles all the little quirks specific to whisper to handle\n        // the various options not allowed in other seq2seq models\n\n        // =========== Overview ============\n        // - iterate over all outputs\n        // - all tokens within output\n        // - Each token can be\n        //   - language token\n        //   - special token\n        //   - timestamp token\n        //   - text token\n        // - We accumulate the text tokens.\n        // - We split on end timestamps\n        // - Lots of complexity comes from stride and timestamps\n\n        if (time_precision === null) {\n            throw Error(\"Must specify time_precision\")\n        }\n        let last_language = null;\n\n        const returnWordTimestamps = return_timestamps === \"word\";\n\n        function new_chunk() {\n            return { \"language\": last_language, \"timestamp\": [null, null], \"text\": \"\" };\n        }\n\n        // Welcome to the state machine!\n        const chunks = [];\n        let chunk = new_chunk();\n        let time_offset = 0.0;\n        const timestamp_begin = this.model.convert_tokens_to_ids([\"<|notimestamps|>\"])[0] + 1;\n\n        let previous_tokens = [];\n        let previous_token_timestamps = [];\n\n        let skip = false;\n        let right_stride_start = null;\n\n\n        const all_special_ids = new Set(this.all_special_ids);\n\n        for (const output of sequences) {\n            // NOTE: python version has batches, so it uses [0]\n            const token_ids = output.tokens;\n            const token_timestamps = returnWordTimestamps ? output.token_timestamps : null;\n\n            // These keep track of timestamps within strides, which need\n            // to be skipped and resolve all tokens in a single chunk.\n            let last_timestamp = null;\n            let first_timestamp = timestamp_begin;\n\n            if (\"stride\" in output) {\n                const [chunk_len, stride_left, stride_right] = output.stride;\n\n                // Offset the timings to account for the other `model_outputs`.\n                time_offset -= stride_left;\n                right_stride_start = chunk_len - stride_right;\n\n                // Keeping track of timestamps within strides\n                // We're going to NOT split on those, and delay until we're\n                // out of BOTH stride. Otherwise lots of issues occur and\n                // corner cases\n                if (stride_left) {\n                    first_timestamp = stride_left / time_precision + timestamp_begin;\n                }\n\n                if (stride_right) {\n                    for (let i = token_ids.length - 1; i >= 0; --i) {\n                        const token = token_ids[i];\n                        if (token >= timestamp_begin) {\n                            // There can be several token in the right stride\n                            // But the last one is ALWAYS going to be skipped\n                            if (last_timestamp !== null && (token - timestamp_begin) * time_precision < right_stride_start) {\n                                break;\n                            }\n                            last_timestamp = token;\n                        }\n                    }\n                }\n            }\n\n            let current_tokens = [];\n            let current_token_timestamps = [];\n\n            // - all tokens within output\n            for (let i = 0; i < token_ids.length; ++i) {\n                const token = token_ids[i];\n                // 4 possible states for each token\n                // - 1/ Language code\n                // - 2/ all other special tokens (which we ignore)\n                // - 3/ Timestamp\n                // - 4/ Regular text\n\n                if (all_special_ids.has(token)) {\n                    const text = this.decode([token]);\n                    const language = WHISPER_LANGUAGE_MAPPING.get(text.slice(2, -2));\n\n                    if (language !== undefined) {\n                        // 1/ Indeed some language\n                        // TODO Handle when language is different from the previous\n                        // one, and we cannot use timestamped tokens to create chunks\n                        if (last_language !== null && language !== last_language && !return_timestamps) {\n                            previous_tokens.push(current_tokens);\n                            const resolved_tokens = this.findLongestCommonSequence(previous_tokens)[0];\n                            const resolved_text = this.decode(resolved_tokens);\n                            chunk.text = resolved_text;\n                            chunks.push(chunk);\n\n                            // Flush all our temporary context\n                            previous_tokens = [];\n                            current_tokens = [];\n                            chunk = new_chunk();\n                        }\n\n                        last_language = chunk.language = language;\n                    } else {\n                        // 2/ This is a regular special token, ignoring it\n                    }\n                } else if (token >= timestamp_begin) {\n                    // 3/ Timestamp token\n                    const time = (token - timestamp_begin) * time_precision + time_offset;\n                    const rounded_time = round(time, 2);\n\n                    if (last_timestamp !== null && token >= last_timestamp) {\n                        // Whisper outputted a timestamp token, but it falls within\n                        // our stride, so we're going to skip it for the time being\n                        // and resolve this later\n                        // Skip is necessary because timestamp tokens always come\n                        // by pair, so we need to skip the next one too (which would mark the start of another chunk).\n                        skip = true;\n                    } else if (skip || (previous_tokens.length > 0 && token < first_timestamp)) {\n                        skip = false;\n                    } else if (chunk.timestamp[0] === null) {\n                        chunk.timestamp[0] = rounded_time;\n                    } else {\n                        // This is the end of the timestamp chunk\n                        if (rounded_time === chunk.timestamp[0]) {\n                            // This is a bug in timestamp token output\n                            // where we're taking the duplicate token\n                            // as a stop where it should be a start.\n                            // This is an issue in the underlying model output\n                            // Let's just skip it so it becomes de-factor a start agin\n                        } else {\n                            chunk.timestamp[1] = rounded_time;\n\n                            // Handling merges\n                            previous_tokens.push(current_tokens)\n\n                            if (returnWordTimestamps) {\n                                previous_token_timestamps.push(current_token_timestamps);\n                            }\n                            const [resolved_tokens, resolved_token_timestamps] = this.findLongestCommonSequence(\n                                previous_tokens, previous_token_timestamps\n                            )\n\n                            const resolved_text = this.decode(resolved_tokens)\n                            chunk.text = resolved_text\n\n                            if (returnWordTimestamps) {\n                                chunk.words = this.collateWordTimestamps(\n                                    resolved_tokens, resolved_token_timestamps, last_language,\n                                )\n                            }\n\n                            chunks.push(chunk)\n\n                            // Flush all our temporary context\n                            previous_tokens = []\n                            current_tokens = []\n                            previous_token_timestamps = []\n                            current_token_timestamps = []\n                            chunk = new_chunk()\n                        }\n                    }\n\n                } else {\n                    // 4/ Regular token\n                    // We just append to the list of all tokens so we can handle\n                    // merges later and decode into text.\n                    current_tokens.push(token)\n\n                    if (returnWordTimestamps) {\n                        let start_time = round(token_timestamps[i] + time_offset, 2);\n\n                        let end_time;\n                        if (i + 1 < token_timestamps.length) {\n                            end_time = round(token_timestamps[i + 1] + time_offset, 2);\n                        } else {\n                            // should never happen\n                            end_time = null;\n                        }\n                        current_token_timestamps.push([start_time, end_time]);\n                    }\n\n                }\n            }\n\n            if ('stride' in output) {\n                const [chunk_len, stride_left, stride_right] = output.stride;\n                time_offset += chunk_len - stride_right\n            }\n\n            // Leftover tokens\n            if (current_tokens.length > 0) {\n                previous_tokens.push(current_tokens)\n                if (returnWordTimestamps) {\n                    previous_token_timestamps.push(current_token_timestamps);\n                }\n            } else if (previous_tokens.every(p => p.length === 0)) {\n                // Flushing previous tokens (END)\"\n                chunk = new_chunk()\n                previous_tokens = []\n                current_tokens = []\n                previous_token_timestamps = [];\n                current_token_timestamps = [];\n            }\n\n        }\n\n        if (previous_tokens.length > 0) {\n            if (force_full_sequences && return_timestamps) {\n                // Last token should always be timestamps, so there shouldn't be\n                // leftover\n                throw new Error(\n                    \"Whisper did not predict an ending timestamp, which can happen if audio is cut off in the middle of a word. \" +\n                    \"Also make sure WhisperTimeStampLogitsProcessor was used during generation.\"\n                );\n            }\n\n            // Happens when we don't use timestamps\n            const [resolved_tokens, resolved_token_timestamps] = this.findLongestCommonSequence(previous_tokens, previous_token_timestamps);\n\n            // Flushing previous tokens (FINAL)\n            const resolved_text = this.decode(resolved_tokens);\n            chunk.text = resolved_text;\n            if (returnWordTimestamps) {\n                chunk.words = this.collateWordTimestamps(\n                    resolved_tokens, resolved_token_timestamps, last_language,\n                )\n            }\n            chunks.push(chunk);\n        }\n\n        let optional = Object.create(null);\n\n        // Preparing and cleaning up the pipeline output\n        const full_text = chunks.map(chunk => chunk.text).join('');\n        if (return_timestamps || return_language) {\n            for (let i = 0; i < chunks.length; ++i) {\n                const chunk = chunks[i];\n                if (!return_timestamps) {\n                    delete chunk[\"timestamp\"];\n                }\n\n                if (!return_language) {\n                    delete chunk[\"language\"];\n                }\n            }\n            if (returnWordTimestamps) {\n                const new_chunks = [];\n                for (const chunk of chunks) {\n                    for (const word of chunk.words) {\n                        new_chunks.push(word);\n                    }\n                }\n                optional = { \"chunks\": new_chunks };\n            } else {\n                optional = { \"chunks\": chunks };\n            }\n        }\n        return [full_text, optional];\n\n    }\n\n    /**\n     * Finds the longest common sequence among the provided sequences.\n     * @param {number[][]} sequences An array of sequences of token ids to compare.\n     * @returns {number[][]} The longest common sequence found.\n     * @throws {Error} If there is a bug within the function.\n     * @private\n     */\n    findLongestCommonSequence(sequences, token_timestamp_sequences = null) {\n        // It would be much harder to do O(n) because of fault tolerance.\n        // We actually have a really good property which is that the total sequence\n        // MUST be those subsequences in order.\n        // If token_timestamp_sequences is provided, will split those sequences in\n        // exactly the same way.\n        let leftSequence = sequences[0];\n        let leftLength = leftSequence.length;\n        let totalSequence = [];\n\n        const use_token_timestamp_sequences = Array.isArray(token_timestamp_sequences) && token_timestamp_sequences.length > 0;\n        let total_token_timestamp_sequence = use_token_timestamp_sequences ? [] : null;\n        let left_token_timestamp_sequence = use_token_timestamp_sequences ? token_timestamp_sequences[0] : null;\n        for (let i = 1; i < sequences.length; ++i) {\n            const rightSequence = sequences[i];\n            let max = 0.0;\n            let maxIndices = [leftLength, leftLength, 0, 0];\n            // Here we're sliding matches\n            // [a, b, c, d]\n            //          [c, d, f]\n            // =        [c] == [d]\n\n            // [a, b, c, d]\n            //       [c, d, f]\n            // =     [c, d] == [c, d]\n\n\n            // [a, b, c, d]\n            //    [c, d, f]\n\n            // =  [b, c, d] == [c, d, f]\n\n            // [a, b, c, d]\n            // [c, d, f]\n\n            // [a, b, c] == [c, d, f]\n\n            // [a, b, c, d]\n            // [d, f]\n\n            // [a, b] == [d, f]\n\n            // [a, b, c, d]\n            // [f]\n\n            // [a] == [f]\n\n            const rightLength = rightSequence.length;\n            for (let j = 1; j < leftLength + rightLength; ++j) {\n                const eps = j / 10000.0;\n                const leftStart = Math.max(0, leftLength - j);\n                const leftStop = Math.min(leftLength, leftLength + rightLength - j);\n                const left = leftSequence.slice(leftStart, leftStop);\n                const rightStart = Math.max(0, j - leftLength);\n                const rightStop = Math.min(rightLength, j);\n                const right = rightSequence.slice(rightStart, rightStop);\n                if (left.length !== right.length) {\n                    throw new Error(\"There is a bug within whisper `decode_asr` function, please report it. Dropping to prevent bad inference.\");\n                }\n                const matches = left.filter((elem, idx) => elem === right[idx]).length;\n                const matching = matches / j + eps;\n                if (matches > 1 && matching > max) {\n                    max = matching;\n                    maxIndices = [leftStart, leftStop, rightStart, rightStop];\n                }\n            }\n            const [leftStart, leftStop, rightStart, rightStop] = maxIndices;\n            const leftMid = Math.floor((leftStop + leftStart) / 2);\n            const rightMid = Math.floor((rightStop + rightStart) / 2);\n            totalSequence.push(...leftSequence.slice(0, leftMid));\n            leftSequence = rightSequence.slice(rightMid);\n            leftLength = leftSequence.length;\n\n            if (use_token_timestamp_sequences) {\n                total_token_timestamp_sequence.push(...left_token_timestamp_sequence.slice(0, leftMid));\n                left_token_timestamp_sequence = token_timestamp_sequences[i].slice(rightMid);\n            }\n        }\n        totalSequence.push(...leftSequence);\n\n        if (use_token_timestamp_sequences) {\n            total_token_timestamp_sequence.push(...left_token_timestamp_sequence);\n            return [totalSequence, total_token_timestamp_sequence];\n        } else {\n            return [totalSequence, []];\n        }\n    }\n\n    /** @private */\n    collateWordTimestamps(tokens, token_timestamps, language) {\n\n        const [words, _, token_indices] = this.combineTokensIntoWords(tokens, language);\n\n        const timings = [];\n        for (let i = 0; i < words.length; ++i) {\n            const indices = token_indices[i];\n            timings.push({\n                text: words[i],\n                timestamp: [\n                    token_timestamps[indices.at(0)][0],\n                    token_timestamps[indices.at(-1)][1],\n                ],\n            });\n        }\n        return timings;\n    }\n\n    /**\n     * Groups tokens by word. Returns a tuple containing a list of strings with the words,\n     * and a list of `token_id` sequences with the tokens making up each word.\n     * @param {number[]} tokens \n     * @param {string} [language] \n     * @param {string} prepend_punctionations \n     * @param {string} append_punctuations \n     * \n     * @private\n     */\n    combineTokensIntoWords(tokens, language, prepend_punctionations = \"\\\"'“¡¿([{-\", append_punctuations = \"\\\"'.。,，!！?？:：”)]}、\") {\n        language = language ?? 'english';\n\n        let words, word_tokens, token_indices;\n\n        if ([\"chinese\", \"japanese\", \"thai\", \"lao\", \"myanmar\"].includes(language)) {\n            // These languages don't typically use spaces.\n            [words, word_tokens, token_indices] = this.splitTokensOnUnicode(tokens)\n        } else {\n            [words, word_tokens, token_indices] = this.splitTokensOnSpaces(tokens)\n        }\n\n        return this.mergePunctuations(words, word_tokens, token_indices, prepend_punctionations, append_punctuations);\n    }\n\n    /** @type {PreTrainedTokenizer['decode']} */\n    decode(\n        token_ids,\n        decode_args,\n    ) {\n        let text;\n        // @ts-ignore\n        if (decode_args && decode_args.decode_with_timestamps) {\n            if (token_ids instanceof Tensor) {\n                token_ids = prepareTensorForDecode(token_ids);\n            }\n            text = this.decodeWithTimestamps(token_ids, decode_args);\n        } else {\n            text = super.decode(token_ids, decode_args);\n        }\n        // TODO: implement offsets\n        // if (decode_args.output_offsets) {\n        //     let offsets = this.computeOffsets\n        // }\n        return text;\n    }\n\n    /**\n     * @param {number[]} token_ids List of token IDs to decode.\n     * @param {Object} decode_args Optional arguments for decoding\n     * @private\n     */\n    decodeWithTimestamps(token_ids, decode_args) {\n        const time_precision = decode_args?.time_precision ?? 0.02;\n\n        const timestamp_begin = Array.from(this.all_special_ids).at(-1) + 1;\n        /**@type {Array} */\n        let outputs = [[]];\n        for (const token of token_ids) {\n            if (token >= timestamp_begin) {\n                const timestamp = round((token - timestamp_begin) * time_precision, 2);\n                outputs.push(`<|${timestamp}|>`);\n                outputs.push([]);\n            } else {\n                outputs[outputs.length - 1].push(token);\n            }\n        }\n        outputs = outputs.map(\n            s => {\n                if (typeof s === 'string') {\n                    return s;\n                } else {\n                    return super.decode(s, decode_args);\n                }\n            }\n        )\n\n        return outputs.join('');\n    }\n\n    /**\n     * Combine tokens into words by splitting at any position where the tokens are decoded as valid unicode points.\n     * @param {number[]} tokens \n     * @returns {*}\n     * @private\n     */\n    splitTokensOnUnicode(tokens) {\n        const decoded_full = this.decode(tokens, {\n            // @ts-ignore\n            decode_with_timestamps: true,\n        });\n        const replacement_char = '\\uFFFD';\n\n        const words = []\n        const word_tokens = []\n        const token_indices = []\n        let current_tokens = []\n        let current_indices = []\n        let unicode_offset = 0\n\n        for (let token_idx = 0; token_idx < tokens.length; ++token_idx) {\n            const token = tokens[token_idx];\n\n            current_tokens.push(token);\n            current_indices.push(token_idx);\n\n            const decoded = this.decode(current_tokens, {\n                // @ts-ignore\n                decode_with_timestamps: true,\n            });\n\n            if (!decoded.includes(replacement_char) || decoded_full[unicode_offset + decoded.indexOf(replacement_char)] === replacement_char) {\n                words.push(decoded)\n                word_tokens.push(current_tokens)\n                token_indices.push(current_indices)\n                current_tokens = []\n                current_indices = []\n                unicode_offset += decoded.length;\n            }\n\n        }\n\n        return [words, word_tokens, token_indices]\n    }\n\n    /**\n     * Combine tokens into words by splitting at whitespace and punctuation tokens.\n     * @param {number[]} tokens \n     * @private\n     */\n    splitTokensOnSpaces(tokens) {\n\n        const [subwords, subword_tokens_list, subword_indices_list] = this.splitTokensOnUnicode(tokens);\n\n        const words = []\n        const word_tokens = []\n        const token_indices = []\n\n        const punctuationRegex = new RegExp(`^[${PUNCTUATION_REGEX}]$`, 'gu');\n\n        for (let i = 0; i < subwords.length; ++i) {\n\n            const subword = subwords[i];\n            const subword_tokens = subword_tokens_list[i];\n            const subword_indices = subword_indices_list[i];\n\n            // @ts-ignore\n            const special = subword_tokens[0] >= this.model.tokens_to_ids.get('<|endoftext|>');\n            const with_space = subword.startsWith(' ');\n            const trimmed = subword.trim();\n            const punctuation = punctuationRegex.test(trimmed);\n\n            if (special || with_space || punctuation || words.length === 0) {\n                words.push(subword);\n                word_tokens.push(subword_tokens);\n                token_indices.push(subword_indices);\n            } else {\n                const ix = words.length - 1;\n                words[ix] += subword;\n                word_tokens[ix].push(...subword_tokens);\n                token_indices[ix].push(...subword_indices);\n            }\n        }\n\n        return [words, word_tokens, token_indices];\n\n    }\n\n    /**\n     * Merges punctuation tokens with neighboring words.\n     * @param {string[]} words \n     * @param {number[][]} tokens \n     * @param {number[][]} indices \n     * @param {string} prepended \n     * @param {string} appended \n     * @private\n     */\n    mergePunctuations(words, tokens, indices, prepended, appended) {\n\n        const newWords = structuredClone(words);\n        const newTokens = structuredClone(tokens);\n        const newIndices = structuredClone(indices);\n\n\n        // prepend punctuations\n        let i = newWords.length - 2;\n        let j = newWords.length - 1;\n\n        while (i >= 0) {\n            if (newWords[i].startsWith(' ') && prepended.includes(newWords[i].trim())) {\n                newWords[j] = newWords[i] + newWords[j];\n                newTokens[j] = mergeArrays(newTokens[i], newTokens[j]);\n                newIndices[j] = mergeArrays(newIndices[i], newIndices[j]);\n                newWords[i] = '';\n                newTokens[i] = [];\n                newIndices[i] = [];\n            } else {\n                j = i;\n            }\n            --i;\n        }\n\n        // append punctuations\n        i = 0;\n        j = 1;\n        while (j < newWords.length) {\n            if (!newWords[i].endsWith(' ') && appended.includes(newWords[j])) {\n                newWords[i] += newWords[j];\n                newTokens[i] = mergeArrays(newTokens[i], newTokens[j]);\n                newIndices[i] = mergeArrays(newIndices[i], newIndices[j]);\n                newWords[j] = '';\n                newTokens[j] = [];\n                newIndices[j] = [];\n            } else {\n                i = j;\n            }\n            ++j;\n        }\n\n        return [\n            newWords.filter(x => x),\n            newTokens.filter(x => x.length > 0),\n            newIndices.filter(x => x.length > 0),\n        ]\n    }\n\n    /**\n     * Helper function to build translation inputs for a `WhisperTokenizer`,\n     * depending on the language, task, and whether to predict timestamp tokens.\n     * \n     * Used to override the prefix tokens appended to the start of the label sequence.\n     * \n     * **Example: Get ids for a language**\n     * ```javascript\n     * // instantiate the tokenizer and set the prefix token to Spanish\n     * const tokenizer = await WhisperTokenizer.from_pretrained('Xenova/whisper-tiny');\n     * const forced_decoder_ids = tokenizer.get_decoder_prompt_ids({ language: 'spanish' });\n     * // [(1, 50262), (2, 50363)]\n     * ```\n     * \n     * @param {Object} options Options to generate the decoder prompt.\n     * @param {string} [options.language] The language of the transcription text.\n     * The corresponding language id token is appended to the start of the sequence for multilingual\n     * speech recognition and speech translation tasks, e.g. for \"Spanish\" the token \"<|es|>\" is appended\n     * to the start of sequence.\n     * @param {string} [options.task] Task identifier to append at the start of sequence (if any).\n     * This should be used for mulitlingual fine-tuning, with \"transcribe\" for speech recognition and\n     * \"translate\" for speech translation.\n     * @param {boolean} [options.no_timestamps] Whether to add the <|notimestamps|> token at the start of the sequence.\n     * @returns {number[][]} The decoder prompt ids.\n     */\n    get_decoder_prompt_ids({\n        language = null,\n        task = null,\n        no_timestamps = true,\n    } = {}) {\n\n        // <|lang_id|> <|task|> <|notimestamps|>\n\n        const forced_decoder_ids = [];\n\n        if (language) {\n            // User wishes to specify the language\n            language = language.toLowerCase();\n\n            // Map to code from user-friendly name (e.g., \"english\" -> \"en\")\n            let language_code = WHISPER_TO_LANGUAGE_CODE_MAPPING.get(language);\n\n            if (language_code === undefined) {\n                // User provided something that is not a language name\n\n                if (WHISPER_LANGUAGE_MAPPING.has(language)) {\n                    // User provided the language code directly (e.g., \"en\")\n                    language_code = language;\n\n                } else {\n                    // User provided something that is not a language code or name\n                    const is_language_code = language.length === 2;\n                    const langs = is_language_code ? WHISPER_LANGUAGE_MAPPING.keys() : WHISPER_LANGUAGE_MAPPING.values();\n\n                    throw new Error(`Language \"${language}\" is not supported. Must be one of: ${JSON.stringify(langs)}`);\n                }\n            }\n\n            const language_token_id = this.model.tokens_to_ids.get(`<|${language_code}|>`);\n            if (language_token_id === undefined) {\n                throw new Error(`Unable to find language \"${language_code}\" in model vocabulary. Please report this issue at https://github.com/xenova/transformers.js/issues/new/choose.`)\n            }\n\n            forced_decoder_ids.push(language_token_id);\n        } else {\n            // No token will be forced, which leaves the model to predict the language\n            forced_decoder_ids.push(null);\n        }\n\n        if (task) {\n            task = task.toLowerCase();\n            if (task !== 'transcribe' && task !== 'translate') {\n                throw new Error(`Task \"${task}\" is not supported. Must be one of: [\"transcribe\", \"translate\"]`);\n            }\n\n            const task_token_id = this.model.tokens_to_ids.get(`<|${task}|>`);\n            if (task_token_id === undefined) {\n                throw new Error(`Unable to find task \"${task}\" in model vocabulary. Please report this issue at https://github.com/xenova/transformers.js/issues/new/choose.`)\n            }\n\n            forced_decoder_ids.push(task_token_id);\n        } else {\n            // No token will be forced, which leaves the model to predict the task\n            forced_decoder_ids.push(null);\n        }\n\n        if (no_timestamps) {\n            const no_timestamps_id = this.model.tokens_to_ids.get(`<|notimestamps|>`);\n            if (no_timestamps_id === undefined) {\n                throw new Error('Unable to find \"<|notimestamps|>\" in model vocabulary. Please report this issue at https://github.com/xenova/transformers.js/issues/new/choose.')\n            }\n\n            forced_decoder_ids.push(no_timestamps_id);\n        }\n\n        return forced_decoder_ids.map((x, i) => [i + 1, x]).filter(x => x[1] !== null);\n\n    }\n}\nexport class CodeGenTokenizer extends PreTrainedTokenizer { }\nexport class CLIPTokenizer extends PreTrainedTokenizer { }\nexport class SiglipTokenizer extends PreTrainedTokenizer { }\n\n/**\n * @todo This model is not yet supported by Hugging Face's \"fast\" tokenizers library (https://github.com/huggingface/tokenizers).\n * Therefore, this implementation (which is based on fast tokenizers) may produce slightly inaccurate results.\n */\nexport class MarianTokenizer extends PreTrainedTokenizer {\n    /**\n     * Create a new MarianTokenizer instance.\n     * @param {Object} tokenizerJSON The JSON of the tokenizer.\n     * @param {Object} tokenizerConfig The config of the tokenizer.\n     */\n    constructor(tokenizerJSON, tokenizerConfig) {\n        super(tokenizerJSON, tokenizerConfig);\n\n        this.languageRegex = /^(>>\\w+<<)\\s*/g;\n\n        this.supported_language_codes = this.model.vocab.filter(\n            x => this.languageRegex.test(x)\n        );\n\n        console.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\\'s \"fast\" tokenizers library. Therefore, you may experience slightly inaccurate results.')\n    }\n\n    /**\n     * Encodes a single text. Overriding this method is necessary since the language codes\n     * must be removed before encoding with sentencepiece model.\n     * @see https://github.com/huggingface/transformers/blob/12d51db243a00726a548a43cc333390ebae731e3/src/transformers/models/marian/tokenization_marian.py#L204-L213\n     *\n     * @param {string|null} text The text to encode.\n     * @returns {Array} The encoded tokens.\n     */\n    _encode_text(text) {\n        if (text === null) return null;\n\n        // Check if text starts with language code:\n        const [matchInfo, ...remainder] = text.trim().split(this.languageRegex);\n\n        if (remainder.length === 0) {\n            // No language code, encode normally\n            return super._encode_text(matchInfo);\n\n        } else if (remainder.length === 2) {\n            // Text starts with language code, so we do not encode it with sentencepiece.\n            const [language, text] = remainder;\n\n            if (!this.supported_language_codes.includes(language)) {\n                console.warn(`Unsupported language code \"${language}\" detected, which may lead to unexpected behavior. Should be one of: ${JSON.stringify(this.supported_language_codes)}`)\n            }\n            return mergeArrays([language], super._encode_text(text));\n        }\n    }\n\n}\n\nexport class Wav2Vec2CTCTokenizer extends PreTrainedTokenizer { }\n\nexport class BlenderbotTokenizer extends PreTrainedTokenizer {\n    _default_chat_template = `{% for message in messages %}{% if message['role'] == 'user' %}{{ ' ' }}{% endif %}{{ message['content'] }}{% if not loop.last %}{{ '  ' }}{% endif %}{% endfor %}{{ eos_token }}`;\n}\nexport class BlenderbotSmallTokenizer extends BlenderbotTokenizer { } // NOTE `BlenderbotTokenizer` to get the correct chat template\n\nexport class SpeechT5Tokenizer extends PreTrainedTokenizer { }\n\nexport class NougatTokenizer extends PreTrainedTokenizer { }\n\nexport class VitsTokenizer extends PreTrainedTokenizer {\n\n    constructor(tokenizerJSON, tokenizerConfig) {\n        super(tokenizerJSON, tokenizerConfig);\n\n        // Custom decoder function\n        this.decoder = new VitsDecoder({});\n    }\n}\n\nexport class CohereTokenizer extends PreTrainedTokenizer { }\n\n/**\n * Helper class which is used to instantiate pretrained tokenizers with the `from_pretrained` function.\n * The chosen tokenizer class is determined by the type specified in the tokenizer config.\n * \n * @example\n * const tokenizer = await AutoTokenizer.from_pretrained('Xenova/bert-base-uncased');\n */\nexport class AutoTokenizer {\n    static TOKENIZER_CLASS_MAPPING = {\n        T5Tokenizer,\n        DistilBertTokenizer,\n        CamembertTokenizer,\n        DebertaTokenizer,\n        DebertaV2Tokenizer,\n        BertTokenizer,\n        HerbertTokenizer,\n        ConvBertTokenizer,\n        RoFormerTokenizer,\n        XLMTokenizer,\n        ElectraTokenizer,\n        MobileBertTokenizer,\n        SqueezeBertTokenizer,\n        AlbertTokenizer,\n        GPT2Tokenizer,\n        BartTokenizer,\n        MBartTokenizer,\n        MBart50Tokenizer,\n        RobertaTokenizer,\n        WhisperTokenizer,\n        CodeGenTokenizer,\n        CLIPTokenizer,\n        SiglipTokenizer,\n        MarianTokenizer,\n        BloomTokenizer,\n        NllbTokenizer,\n        M2M100Tokenizer,\n        LlamaTokenizer,\n        CodeLlamaTokenizer,\n        XLMRobertaTokenizer,\n        MPNetTokenizer,\n        FalconTokenizer,\n        GPTNeoXTokenizer,\n        EsmTokenizer,\n        Wav2Vec2CTCTokenizer,\n        BlenderbotTokenizer,\n        BlenderbotSmallTokenizer,\n        SpeechT5Tokenizer,\n        NougatTokenizer,\n        VitsTokenizer,\n        Qwen2Tokenizer,\n        GemmaTokenizer,\n        Grok1Tokenizer,\n        CohereTokenizer,\n\n        // Base case:\n        PreTrainedTokenizer,\n    }\n\n\n    /**\n     * Instantiate one of the tokenizer classes of the library from a pretrained model.\n     * \n     * The tokenizer class to instantiate is selected based on the `tokenizer_class` property of the config object\n     * (either passed as an argument or loaded from `pretrained_model_name_or_path` if possible)\n     * \n     * @param {string} pretrained_model_name_or_path The name or path of the pretrained model. Can be either:\n     * - A string, the *model id* of a pretrained tokenizer hosted inside a model repo on huggingface.co.\n     *   Valid model ids can be located at the root-level, like `bert-base-uncased`, or namespaced under a\n     *   user or organization name, like `dbmdz/bert-base-german-cased`.\n     * - A path to a *directory* containing tokenizer files, e.g., `./my_model_directory/`.\n     * @param {PretrainedTokenizerOptions} options Additional options for loading the tokenizer.\n     * \n     * @returns {Promise<PreTrainedTokenizer>} A new instance of the PreTrainedTokenizer class.\n     */\n    static async from_pretrained(pretrained_model_name_or_path, {\n        quantized = true,\n        progress_callback = null,\n        config = null,\n        cache_dir = null,\n        local_files_only = false,\n        revision = 'main',\n        legacy = null,\n    } = {}) {\n\n        const [tokenizerJSON, tokenizerConfig] = await loadTokenizer(pretrained_model_name_or_path, {\n            quantized,\n            progress_callback,\n            config,\n            cache_dir,\n            local_files_only,\n            revision,\n            legacy,\n        })\n\n        // Some tokenizers are saved with the \"Fast\" suffix, so we remove that if present.\n        const tokenizerName = tokenizerConfig.tokenizer_class?.replace(/Fast$/, '') ?? 'PreTrainedTokenizer';\n\n        let cls = this.TOKENIZER_CLASS_MAPPING[tokenizerName];\n        if (!cls) {\n            console.warn(`Unknown tokenizer class \"${tokenizerName}\", attempting to construct from base class.`);\n            cls = PreTrainedTokenizer;\n        }\n        return new cls(tokenizerJSON, tokenizerConfig);\n    }\n}\n","\n/**\n * @file Helper module for using model configs. For more information, see the corresponding\n * [Python documentation](https://huggingface.co/docs/transformers/main/en/model_doc/auto#transformers.AutoConfig).\n * \n * **Example:** Load an `AutoConfig`.\n * \n * ```javascript\n * import { AutoConfig } from '@xenova/transformers';\n * let config = await AutoConfig.from_pretrained('bert-base-uncased');\n * console.log(config);\n * // PretrainedConfig {\n * //   \"model_type\": \"bert\",\n * //   \"is_encoder_decoder\": false,\n * //   \"architectures\": [\n * //       \"BertForMaskedLM\"\n * //   ],\n * //   \"vocab_size\": 30522\n * //   \"num_attention_heads\": 12,\n * //   \"num_hidden_layers\": 12,\n * //   \"hidden_size\": 768,\n * //   \"max_position_embeddings\": 512,\n * //   ...\n * // }\n * ```\n * \n * @module configs\n */\n\nimport {\n    getModelJSON,\n} from './utils/hub.js';\n\n/**\n * @typedef {import('./utils/hub.js').PretrainedOptions} PretrainedOptions\n */\n\n\n/**\n * Loads a config from the specified path.\n * @param {string} pretrained_model_name_or_path The path to the config directory.\n * @param {PretrainedOptions} options Additional options for loading the config.\n * @returns {Promise<Array>} A promise that resolves with information about the loaded config.\n */\nasync function loadConfig(pretrained_model_name_or_path, options) {\n    let info = await getModelJSON(pretrained_model_name_or_path, 'config.json', true, options);\n    return info;\n}\n\n/**\n * Base class for all configuration classes. For more information, see the corresponding\n * [Python documentation](https://huggingface.co/docs/transformers/main/en/main_classes/configuration#transformers.PretrainedConfig).\n */\nexport class PretrainedConfig {\n    // NOTE: Typo in original\n\n    /**\n     * Create a new PreTrainedTokenizer instance.\n     * @param {Object} configJSON The JSON of the config.\n     */\n    constructor(configJSON) {\n        this.model_type = null;\n        this.is_encoder_decoder = false;\n\n        Object.assign(this, configJSON);\n    }\n\n    /**\n     * Loads a pre-trained config from the given `pretrained_model_name_or_path`. \n     * \n     * @param {string} pretrained_model_name_or_path The path to the pre-trained config.\n     * @param {PretrainedOptions} options Additional options for loading the config.\n     * @throws {Error} Throws an error if the config.json is not found in the `pretrained_model_name_or_path`.\n     * \n     * @returns {Promise<PretrainedConfig>} A new instance of the `PretrainedConfig` class.\n     */\n    static async from_pretrained(pretrained_model_name_or_path, {\n        progress_callback = null,\n        config = null,\n        cache_dir = null,\n        local_files_only = false,\n        revision = 'main',\n    } = {}) {\n\n        let data = config ?? await loadConfig(pretrained_model_name_or_path, {\n            progress_callback,\n            config,\n            cache_dir,\n            local_files_only,\n            revision,\n        })\n        return new this(data);\n    }\n}\n\n/**\n * Helper class which is used to instantiate pretrained configs with the `from_pretrained` function.\n * \n * @example\n * let config = await AutoConfig.from_pretrained('bert-base-uncased'); \n */\nexport class AutoConfig {\n    /** @type {PretrainedConfig.from_pretrained} */\n    static async from_pretrained(...args) {\n        return PretrainedConfig.from_pretrained(...args);\n    }\n}\n","\n/**\n * @file Classes, functions, and utilities for generation.\n * \n * @todo Describe how to create a custom `GenerationConfig`.\n * \n * @module utils/generation\n */\nimport { Tensor } from './tensor.js';\nimport {\n    Callable,\n    exists,\n} from './core.js';\nimport {\n    max,\n    softmax,\n    log_softmax,\n    getTopItems,\n} from './maths.js';\n\n/**\n * A class representing a list of logits processors. A logits processor is a function that modifies the logits\n * output of a language model. This class provides methods for adding new processors and applying all processors to a\n * batch of logits.\n *\n * @extends Callable\n */\nexport class LogitsProcessorList extends Callable {\n    /**\n     * Constructs a new instance of `LogitsProcessorList`.\n     */\n    constructor() {\n        super();\n        this.processors = [];\n    }\n\n    /**\n     * Adds a new logits processor to the list.\n     *\n     * @param {LogitsProcessor} item The logits processor function to add.\n     */\n    push(item) {\n        this.processors.push(item);\n    }\n\n    /**\n     * Adds multiple logits processors to the list.\n     *\n     * @param {LogitsProcessor[]} items The logits processor functions to add.\n     */\n    extend(items) {\n        this.processors.push(...items);\n    }\n\n    /**\n     * Applies all logits processors in the list to a batch of logits, modifying them in-place.\n     *\n     * @param {number[]} input_ids The input IDs for the language model.\n     * @param {number[][]} batchedLogits A 2D array of logits, where each row corresponds to a single\n     *                                                input sequence in the batch.\n     */\n    _call(input_ids, batchedLogits) {\n        // NOTE: This is different from the Python code, since vanilla JS does not support vectorized operations. \n        // As a result, we apply each processor to each item in the batch.\n        for (let logits of batchedLogits) {\n            // Modifies logits inplace\n            this.processors.forEach(\n                func => func(input_ids, logits)\n            )\n        }\n    }\n\n    [Symbol.iterator]() {\n        return this.processors.values();\n    }\n}\n\n/**\n * Base class for processing logits.\n * @extends Callable\n */\nexport class LogitsProcessor extends Callable {\n    /**\n     * Apply the processor to the input logits.\n     *\n     * @abstract\n     * @param {Array} input_ids The input ids.\n     * @param {Tensor} logits The logits to process.\n     * @throws {Error} Throws an error if `_call` is not implemented in the subclass.\n     */\n    _call(input_ids, logits) {\n        throw Error(\"`_call` should be implemented in a subclass\")\n    }\n}\n\n/**\n * A logits processor that forces a specific token to be generated by the decoder.\n * \n * @extends LogitsProcessor\n */\nexport class ForceTokensLogitsProcessor extends LogitsProcessor {\n    /**\n     * Constructs a new instance of `ForceTokensLogitsProcessor`.\n     * \n     * @param {Array} forced_decoder_ids The ids of tokens that should be forced.\n     */\n    constructor(forced_decoder_ids) {\n        super();\n        this.force_token_map = Object.fromEntries(forced_decoder_ids ?? []);\n    }\n\n    /**\n     * Apply the processor to the input logits.\n     *\n     * @param {Array} input_ids The input ids.\n     * @param {Tensor} logits The logits to process.\n     * @returns {Tensor} The processed logits.\n     */\n    _call(input_ids, logits) {\n        let map = this.force_token_map[input_ids.length];\n        if (exists(map)) { // There exists a mapping\n            logits.data.fill(-Infinity)\n            logits.data[map] = 0;\n        }\n        return logits;\n    }\n}\n\n/**\n * A LogitsProcessor that forces a BOS token at the beginning of the generated sequence.\n * @extends LogitsProcessor\n */\nexport class ForcedBOSTokenLogitsProcessor extends LogitsProcessor {\n    /**\n     * Create a ForcedBOSTokenLogitsProcessor.\n     * @param {number} bos_token_id The ID of the beginning-of-sequence token to be forced.\n     */\n    constructor(bos_token_id) {\n        super();\n        this.bos_token_id = bos_token_id;\n    }\n\n    /**\n     * Apply the BOS token forcing to the logits.\n     * @param {Array} input_ids The input IDs.\n     * @param {Object} logits The logits.\n     * @returns {Object} The logits with BOS token forcing.\n     */\n    _call(input_ids, logits) {\n        if (input_ids.length === 1) {\n            logits.data.fill(-Infinity)\n            logits.data[this.bos_token_id] = 0;\n        }\n        return logits;\n    }\n}\n\n/**\n * A logits processor that forces end-of-sequence token probability to 1.\n * \n * @extends LogitsProcessor\n */\nexport class ForcedEOSTokenLogitsProcessor extends LogitsProcessor {\n    /**\n     * Create a ForcedEOSTokenLogitsProcessor.\n     * @param {number} max_length Max length of the sequence.\n     * @param {number|number[]} forced_eos_token_id The ID of the end-of-sequence token to be forced.\n     */\n    constructor(max_length, forced_eos_token_id) {\n        super();\n        this.max_length = max_length;\n        this.forced_eos_token_id = forced_eos_token_id;\n    }\n\n    /**\n     * Apply the processor to input_ids and logits.\n     * \n     * @param {number[]} input_ids The input ids.\n     * @param {Tensor} logits The logits tensor.\n     */\n    _call(input_ids, logits) {\n        // console.log('call ForcedEOSTokenLogitsProcessor')\n        // TODO\n    }\n}\n\n/**\n * A LogitsProcessor that suppresses a list of tokens as soon as the `generate` function starts\n * generating using `begin_index` tokens. This should ensure that the tokens defined by\n * `begin_suppress_tokens` at not sampled at the begining of the generation.\n * @extends LogitsProcessor\n */\nexport class SuppressTokensAtBeginLogitsProcessor extends LogitsProcessor {\n    /**\n     * Create a SuppressTokensAtBeginLogitsProcessor.\n     * @param {number[]} begin_suppress_tokens The IDs of the tokens to suppress.\n     * @param {number} begin_index The number of tokens to generate before suppressing tokens.\n     */\n    constructor(begin_suppress_tokens, begin_index) {\n        super();\n        this.begin_suppress_tokens = begin_suppress_tokens;\n        this.begin_index = begin_index;\n    }\n\n    /**\n     * Apply the BOS token forcing to the logits.\n     * @param {Array} input_ids The input IDs.\n     * @param {Object} logits The logits.\n     * @returns {Object} The logits with BOS token forcing.\n     */\n    _call(input_ids, logits) {\n        if (input_ids.length === this.begin_index) {\n            for (let token_id of this.begin_suppress_tokens) {\n                logits.data[token_id] = -Infinity;\n            }\n        }\n        return logits;\n    }\n}\n\n/**\n * A LogitsProcessor that handles adding timestamps to generated text.\n * @extends LogitsProcessor\n */\nexport class WhisperTimeStampLogitsProcessor extends LogitsProcessor {\n    /**\n     * Constructs a new WhisperTimeStampLogitsProcessor.\n     * @param {Object} generate_config The config object passed to the `generate()` method of a transformer model.\n     * @param {number} generate_config.eos_token_id The ID of the end-of-sequence token.\n     * @param {number} generate_config.no_timestamps_token_id The ID of the token used to indicate that a token should not have a timestamp.\n     * @param {number[][]} [generate_config.forced_decoder_ids] An array of two-element arrays representing decoder IDs that are forced to appear in the output. The second element of each array indicates whether the token is a timestamp.\n     * @param {number} [generate_config.max_initial_timestamp_index] The maximum index at which an initial timestamp can appear.\n     */\n    constructor(generate_config) {\n        super();\n        this.eos_token_id = generate_config.eos_token_id;\n        this.no_timestamps_token_id = generate_config.no_timestamps_token_id;\n        this.timestamp_begin = this.no_timestamps_token_id + 1;\n\n        this.begin_index = (generate_config.forced_decoder_ids || []).length + 2;\n        if (generate_config.forced_decoder_ids.slice(-1)[0][1] === this.no_timestamps_token_id) {\n            this.begin_index -= 1;\n        }\n        this.max_initial_timestamp_index = generate_config.max_initial_timestamp_index;\n\n    }\n\n    /**\n     * Modify the logits to handle timestamp tokens.\n     * @param {Array} input_ids The input sequence of tokens.\n     * @param {Tensor} logits The logits output by the model.\n     * @returns {Tensor} The modified logits.\n     */\n    _call(input_ids, logits) {\n        const logitsData = /** @type {Float32Array} */(logits.data);\n\n        // suppress <|notimestamps|> which is handled by without_timestamps\n        logitsData[this.no_timestamps_token_id] = -Infinity;\n\n        if (input_ids.length === this.begin_index - 1) {\n            logitsData.fill(-Infinity);\n            logitsData[this.timestamp_begin] = 0;\n            return logits;\n        }\n\n        // timestamps have to appear in pairs, except directly before eos_token; mask logits accordingly\n        const seq = input_ids.slice(this.begin_index);\n        const last_was_timestamp = seq.length >= 1 && seq[seq.length - 1] >= this.timestamp_begin;\n        const penultimate_was_timestamp = seq.length < 2 || seq[seq.length - 2] >= this.timestamp_begin;\n\n        if (last_was_timestamp) {\n            if (penultimate_was_timestamp) { // has to be non-timestamp\n                logitsData.subarray(this.timestamp_begin).fill(-Infinity);\n            } else { // cannot be normal text tokens\n                logitsData.subarray(0, this.eos_token_id).fill(-Infinity);\n            }\n        }\n\n        // apply the `max_initial_timestamp` option\n        if (input_ids.length === this.begin_index && this.max_initial_timestamp_index !== null) {\n            const last_allowed = this.timestamp_begin + this.max_initial_timestamp_index;\n            logitsData.subarray(last_allowed + 1).fill(-Infinity);\n        }\n\n        // if sum of probability over timestamps is above any other token, sample timestamp\n        const logprobs = log_softmax(logitsData);\n        const timestamp_logprob = Math.log(logprobs.subarray(this.timestamp_begin).map(Math.exp).reduce((a, b) => a + b));\n        const max_text_token_logprob = max(logprobs.subarray(0, this.timestamp_begin))[0];\n\n        if (timestamp_logprob > max_text_token_logprob) {\n            logitsData.subarray(0, this.timestamp_begin).fill(-Infinity);\n        }\n\n        return logits;\n    }\n}\n\n/**\n * A logits processor that disallows ngrams of a certain size to be repeated.\n * \n * @extends LogitsProcessor\n */\nexport class NoRepeatNGramLogitsProcessor extends LogitsProcessor {\n    /**\n     * Create a NoRepeatNGramLogitsProcessor.\n     * @param {number} no_repeat_ngram_size The no-repeat-ngram size. All ngrams of this size can only occur once.\n     */\n    constructor(no_repeat_ngram_size) {\n        super();\n        this.no_repeat_ngram_size = no_repeat_ngram_size;\n    }\n\n    /**\n     * Generate n-grams from a sequence of token ids.\n     * @param {number[]} prevInputIds List of previous input ids\n     * @returns {Map<string, number[]>} Map of generated n-grams\n     */\n    getNgrams(prevInputIds) {\n        const curLen = prevInputIds.length;\n\n        /**@type {number[][]} */\n        const ngrams = [];\n        for (let j = 0; j < curLen + 1 - this.no_repeat_ngram_size; ++j) {\n            const ngram = [];\n            for (let k = 0; k < this.no_repeat_ngram_size; ++k) {\n                ngram.push(prevInputIds[j + k]);\n            }\n            ngrams.push(ngram);\n        }\n\n        /** @type {Map<string, number[]>} */\n        const generatedNgram = new Map();\n        for (const ngram of ngrams) {\n            const prevNgram = ngram.slice(0, ngram.length - 1);\n            const prevNgramKey = JSON.stringify(prevNgram);\n            const prevNgramValue = generatedNgram.get(prevNgramKey) ?? [];\n            prevNgramValue.push(ngram[ngram.length - 1]);\n            generatedNgram.set(prevNgramKey, prevNgramValue);\n        }\n        return generatedNgram;\n    }\n\n    /**\n     * Generate n-grams from a sequence of token ids.\n     * @param {Map<string, number[]>} bannedNgrams Map of banned n-grams\n     * @param {number[]} prevInputIds List of previous input ids\n     * @returns {number[]} Map of generated n-grams\n     */\n    getGeneratedNgrams(bannedNgrams, prevInputIds) {\n        const ngramIdx = prevInputIds.slice(prevInputIds.length + 1 - this.no_repeat_ngram_size, prevInputIds.length);\n        const banned = bannedNgrams.get(JSON.stringify(ngramIdx)) ?? [];\n        return banned;\n    }\n\n    /**\n     * Calculate banned n-gram tokens\n     * @param {number[]} prevInputIds List of previous input ids\n     * @returns {number[]} Map of generated n-grams\n     */\n    calcBannedNgramTokens(prevInputIds) {\n        const bannedTokens = [];\n        if (prevInputIds.length + 1 < this.no_repeat_ngram_size) {\n            // return no banned tokens if we haven't generated no_repeat_ngram_size tokens yet\n            return bannedTokens;\n\n        } else {\n            const generatedNgrams = this.getNgrams(prevInputIds);\n            const bannedTokens = this.getGeneratedNgrams(generatedNgrams, prevInputIds);\n            return bannedTokens;\n        }\n    }\n\n    /**\n     * Apply the no-repeat-ngram processor to the logits.\n     * @param {Array} input_ids The input IDs.\n     * @param {Object} logits The logits.\n     * @returns {Object} The logits with no-repeat-ngram processing.\n     */\n    _call(input_ids, logits) {\n        const bannedTokens = this.calcBannedNgramTokens(input_ids);\n\n        for (const token of bannedTokens) {\n            logits.data[token] = -Infinity;\n        }\n        return logits;\n    }\n}\n\n/**\n * A logits processor that penalises repeated output tokens.\n * \n * @extends LogitsProcessor\n */\nexport class RepetitionPenaltyLogitsProcessor extends LogitsProcessor {\n    /**\n     * Create a RepetitionPenaltyLogitsProcessor.\n     * @param {number} penalty The penalty to apply for repeated tokens.\n     */\n    constructor(penalty) {\n        super();\n        this.penalty = penalty;\n    }\n\n    /**\n     * Apply the repetition penalty to the logits.\n     * @param {Array} input_ids The input IDs.\n     * @param {Object} logits The logits.\n     * @returns {Object} The logits with repetition penalty processing.\n     */\n    _call(input_ids, logits) {\n        // Modify the logits corresponding to each element in `input_ids`.\n        // As a consequence, the logits corresponding to tokens that appear\n        // many times in the output will be penalised more.\n        for (const input_id of input_ids) {\n            if (logits.data[input_id] < 0) {\n                logits.data[input_id] *= this.penalty;\n            } else {\n                logits.data[input_id] /= this.penalty;\n            }\n        }\n        return logits\n    }\n}\n\n/**\n * A logits processor that enforces a minimum number of tokens.\n * \n * @extends LogitsProcessor\n */\nexport class MinLengthLogitsProcessor extends LogitsProcessor {\n    /**\n     * Create a MinLengthLogitsProcessor.\n     * @param {number} min_length The minimum length below which the score of `eos_token_id` is set to negative infinity.\n     * @param {number|number[]} eos_token_id The ID/IDs of the end-of-sequence token.\n     */\n    constructor(min_length, eos_token_id) {\n        super();\n        this.min_length = min_length;\n        this.eos_token_id = Array.isArray(eos_token_id) ? eos_token_id : [eos_token_id];\n    }\n\n    /**\n     * Apply logit processor.\n     * @param {Array} input_ids The input IDs.\n     * @param {Object} logits The logits.\n     * @returns {Object} The processed logits.\n     */\n    _call(input_ids, logits) {\n        if (input_ids.length < this.min_length) {\n            for (const eos_token of this.eos_token_id) {\n                logits.data[eos_token] = -Infinity;\n            }\n        }\n\n        return logits\n    }\n}\n\n/**\n * A logits processor that enforces a minimum number of new tokens.\n * \n * @extends LogitsProcessor\n */\nexport class MinNewTokensLengthLogitsProcessor extends LogitsProcessor {\n    /**\n     * Create a MinNewTokensLengthLogitsProcessor.\n     * @param {number} prompt_length_to_skip The input tokens length.\n     * @param {number} min_new_tokens The minimum *new* tokens length below which the score of `eos_token_id` is set to negative infinity.\n     * @param {number|number[]} eos_token_id The ID/IDs of the end-of-sequence token.\n     */\n    constructor(prompt_length_to_skip, min_new_tokens, eos_token_id) {\n        super();\n        this.prompt_length_to_skip = prompt_length_to_skip;\n        this.min_new_tokens = min_new_tokens;\n        this.eos_token_id = Array.isArray(eos_token_id) ? eos_token_id : [eos_token_id];\n    }\n\n    /**\n     * Apply logit processor.\n     * @param {Array} input_ids The input IDs.\n     * @param {Object} logits The logits.\n     * @returns {Object} The processed logits.\n     */\n    _call(input_ids, logits) {\n        const new_tokens_length = input_ids.length - this.prompt_length_to_skip;\n        if (new_tokens_length < this.min_new_tokens) {\n            for (const eos_token of this.eos_token_id) {\n                logits.data[eos_token] = -Infinity;\n            }\n        }\n\n        return logits\n    }\n}\n\nexport class NoBadWordsLogitsProcessor extends LogitsProcessor {\n    /**\n     * Create a `NoBadWordsLogitsProcessor`.\n     * @param {number[][]} bad_words_ids List of list of token ids that are not allowed to be generated.\n     * @param {number|number[]} eos_token_id The id of the *end-of-sequence* token. Optionally, use a list to set multiple *end-of-sequence* tokens.\n     */\n    constructor(bad_words_ids, eos_token_id) {\n        super();\n        this.bad_words_ids = bad_words_ids;\n        this.eos_token_id = Array.isArray(eos_token_id) ? eos_token_id : [eos_token_id];\n    }\n\n    /**\n     * Apply logit processor.\n     * @param {Array} input_ids The input IDs.\n     * @param {Object} logits The logits.\n     * @returns {Object} The processed logits.\n     */\n    _call(input_ids, logits) {\n\n        for (const bad_word_ids of this.bad_words_ids) {\n            // Whether to modify the logits of the last token in the bad word id sequence\n            let mark = true;\n\n            // For each bad word in the list, if the current sequence of input ids ends with this sequence (excluding the last),\n            // then we set the logits of the last bad word id to -Infinity.\n            for (let i = 1; i <= bad_word_ids.length - 1 && bad_word_ids.length < input_ids.length; ++i) {\n\n                if (bad_word_ids.at(-i - 1) !== input_ids.at(-i)) {\n                    // We have found a mismatch\n                    mark = false;\n                    break;\n                }\n            }\n            if (mark) {\n                logits.data[bad_word_ids.at(-1)] = -Infinity;\n            }\n        }\n\n        return logits\n    }\n}\n\n/**\n * @typedef {Object} GenerationConfigType The default configuration parameters.\n * @property {number} [max_length=20] The maximum length the generated tokens can have. Corresponds to the length of the input prompt + `max_new_tokens`. Its effect is overridden by `max_new_tokens`, if also set.\n * @property {number} [max_new_tokens=null] The maximum numbers of tokens to generate, ignoring the number of tokens in the prompt.\n * @property {number} [min_length=0] The minimum length of the sequence to be generated. Corresponds to the length of the input prompt + `min_new_tokens`. Its effect is overridden by `min_new_tokens`, if also set.\n * @property {number} [min_new_tokens=null] The minimum numbers of tokens to generate, ignoring the number of tokens in the prompt.\n * @property {boolean|\"never\"} [early_stopping=false] Controls the stopping condition for beam-based methods, like beam-search. It accepts the following values:\n * - `true`, where the generation stops as soon as there are `num_beams` complete candidates;\n * - `false`, where an heuristic is applied and the generation stops when is it very unlikely to find better candidates;\n * - `\"never\"`, where the beam search procedure only stops when there cannot be better candidates (canonical beam search algorithm).\n * @property {number} [max_time=null] The maximum amount of time you allow the computation to run for in seconds. Generation will still finish the current pass after allocated time has been passed.\n *\n * @property {boolean} [do_sample=false] Whether or not to use sampling; use greedy decoding otherwise.\n * @property {number} [num_beams=1] Number of beams for beam search. 1 means no beam search.\n * @property {number} [num_beam_groups=1] Number of groups to divide `num_beams` into in order to ensure diversity among different groups of beams. See [this paper](https://arxiv.org/pdf/1610.02424.pdf) for more details.\n * @property {number} [penalty_alpha=null] The values balance the model confidence and the degeneration penalty in contrastive search decoding.\n * @property {boolean} [use_cache=true] Whether or not the model should use the past last key/values attentions (if applicable to the model) to speed up decoding.\n *\n * @property {number} [temperature=1.0] The value used to modulate the next token probabilities.\n * @property {number} [top_k=50] The number of highest probability vocabulary tokens to keep for top-k-filtering.\n * @property {number} [top_p=1.0] If set to float < 1, only the smallest set of most probable tokens with probabilities that add up to `top_p` or higher are kept for generation.\n * @property {number} [typical_p=1.0] Local typicality measures how similar the conditional probability of predicting a target token next is to the expected conditional probability of predicting a random token next, given the partial text already generated. If set to float < 1, the smallest set of the most locally typical tokens with probabilities that add up to `typical_p` or higher are kept for generation. See [this paper](https://arxiv.org/pdf/2202.00666.pdf) for more details.\n * @property {number} [epsilon_cutoff=0.0] If set to float strictly between 0 and 1, only tokens with a conditional probability greater than `epsilon_cutoff` will be sampled. In the paper, suggested values range from 3e-4 to 9e-4, depending on the size of the model. See [Truncation Sampling as Language Model Desmoothing](https://arxiv.org/abs/2210.15191) for more details.\n * @property {number} [eta_cutoff=0.0] Eta sampling is a hybrid of locally typical sampling and epsilon sampling. If set to float strictly between 0 and 1, a token is only considered if it is greater than either `eta_cutoff` or `sqrt(eta_cutoff) * exp(-entropy(softmax(next_token_logits)))`. The latter term is intuitively the expected next token probability, scaled by `sqrt(eta_cutoff)`. In the paper, suggested values range from 3e-4 to 2e-3, depending on the size of the model. See [Truncation Sampling as Language Model Desmoothing](https://arxiv.org/abs/2210.15191) for more details.\n * @property {number} [diversity_penalty=0.0] This value is subtracted from a beam's score if it generates a token same as any beam from other group at a particular time. Note that `diversity_penalty` is only effective if `group beam search` is enabled.\n * @property {number} [repetition_penalty=1.0] The parameter for repetition penalty. 1.0 means no penalty. See [this paper](https://arxiv.org/pdf/1909.05858.pdf) for more details.\n * @property {number} [encoder_repetition_penalty=1.0] The paramater for encoder_repetition_penalty. An exponential penalty on sequences that are not in the original input. 1.0 means no penalty.\n * @property {number} [length_penalty=1.0] Exponential penalty to the length that is used with beam-based generation. It is applied as an exponent to the sequence length, which in turn is used to divide the score of the sequence. Since the score is the log likelihood of the sequence (i.e. negative), `length_penalty` > 0.0 promotes longer sequences, while `length_penalty` < 0.0 encourages shorter sequences.\n * @property {number} [no_repeat_ngram_size=0] If set to int > 0, all ngrams of that size can only occur once.\n * @property {number[][]} [bad_words_ids=null] List of token ids that are not allowed to be generated. In order to get the token ids of the words that should not appear in the generated text, use `(await tokenizer(bad_words, {add_prefix_space: true, add_special_tokens: false})).input_ids`.\n * @property {number[][]|number[][][]} [force_words_ids=null] List of token ids that must be generated. If given a `number[][]`, this is treated as a simple list of words that must be included, the opposite to `bad_words_ids`. If given `number[][][]`, this triggers a [disjunctive constraint](https://github.com/huggingface/transformers/issues/14081), where one can allow different forms of each word.\n * @property {boolean} [renormalize_logits=false] Whether to renormalize the logits after applying all the logits processors or warpers (including the custom ones). It's highly recommended to set this flag to `true` as the search algorithms suppose the score logits are normalized but some logit processors or warpers break the normalization.\n * @property {Object[]} [constraints=null] Custom constraints that can be added to the generation to ensure that the output will contain the use of certain tokens as defined by `Constraint` objects, in the most sensible way possible.\n * \n * @property {number} [forced_bos_token_id=null] The id of the token to force as the first generated token after the `decoder_start_token_id`. Useful for multilingual models like mBART where the first generated token needs to be the target language token.\n * @property {number|number[]} [forced_eos_token_id=null] The id of the token to force as the last generated token when `max_length` is reached. Optionally, use a list to set multiple *end-of-sequence* tokens.\n * @property {boolean} [remove_invalid_values=false] Whether to remove possible *nan* and *inf* outputs of the model to prevent the generation method to crash. Note that using `remove_invalid_values` can slow down generation.\n * @property {number[]} [exponential_decay_length_penalty=null] This Tuple adds an exponentially increasing length penalty, after a certain amount of tokens have been generated. The tuple shall consist of: `(start_index, decay_factor)` where `start_index` indicates where penalty starts and `decay_factor` represents the factor of exponential decay.\n * @property {number[]} [suppress_tokens=null] A list of tokens that will be suppressed at generation. The `SupressTokens` logit processor will set their log probs to `-inf` so that they are not sampled.\n * @property {number[]} [begin_suppress_tokens=null] A list of tokens that will be suppressed at the beginning of the generation. The `SupressBeginTokens` logit processor will set their log probs to `-inf` so that they are not sampled.\n * @property {number[][]} [forced_decoder_ids=null] A list of pairs of integers which indicates a mapping from generation indices to token indices that will be forced before sampling. For example, `[[1, 123]]` means the second generated token will always be a token of index 123.\n * \n * @property {number} [num_return_sequences=1] The number of independently computed returned sequences for each element in the batch.\n * @property {boolean} [output_attentions=false] Whether or not to return the attentions tensors of all attention layers. See `attentions` under returned tensors for more details.\n * @property {boolean} [output_hidden_states=false] Whether or not to return the hidden states of all layers. See `hidden_states` under returned tensors for more details.\n * @property {boolean} [output_scores=false] Whether or not to return the prediction scores. See `scores` under returned tensors for more details.\n * @property {boolean} [return_dict_in_generate=false] Whether or not to return a `ModelOutput` instead of a plain tuple.\n * \n * @property {number} [pad_token_id=null] The id of the *padding* token.\n * @property {number} [bos_token_id=null] The id of the *beginning-of-sequence* token.\n * @property {number|number[]} [eos_token_id=null] The id of the *end-of-sequence* token. Optionally, use a list to set multiple *end-of-sequence* tokens.\n * \n * @property {number} [encoder_no_repeat_ngram_size=0] If set to int > 0, all ngrams of that size that occur in the `encoder_input_ids` cannot occur in the `decoder_input_ids`.\n * @property {number} [decoder_start_token_id=null] If an encoder-decoder model starts decoding with a different token than *bos*, the id of that token.\n * \n * @property {Object} [generation_kwargs={}] Additional generation kwargs will be forwarded to the `generate` function of the model. Kwargs that are not present in `generate`'s signature will be used in the model forward pass.\n */\n\n/**\n * Class that holds a configuration for a generation task.\n * @type {new (kwargs?: GenerationConfigType) => GenerationConfigType}\n */\nexport const GenerationConfig = /** @type {any} */ (class {\n\n    /**\n     * Create a new GenerationConfig object.\n     * @param {GenerationConfigType} kwargs \n     */\n    constructor(kwargs = {}) {\n        // Parameters that control the length of the output\n        this.max_length = kwargs.max_length ?? 20;\n        this.max_new_tokens = kwargs.max_new_tokens ?? null;\n        this.min_length = kwargs.min_length ?? 0;\n        this.min_new_tokens = kwargs.min_new_tokens ?? null;\n        this.early_stopping = kwargs.early_stopping ?? false;\n        this.max_time = kwargs.max_time ?? null;\n\n        // Parameters that control the generation strategy used\n        this.do_sample = kwargs.do_sample ?? false;\n        this.num_beams = kwargs.num_beams ?? 1;\n        this.num_beam_groups = kwargs.num_beam_groups ?? 1;\n        this.penalty_alpha = kwargs.penalty_alpha ?? null;\n        this.use_cache = kwargs.use_cache ?? true;\n\n        // Parameters for manipulation of the model output logits\n        this.temperature = kwargs.temperature ?? 1.0;\n        this.top_k = kwargs.top_k ?? 50;\n        this.top_p = kwargs.top_p ?? 1.0;\n        this.typical_p = kwargs.typical_p ?? 1.0;\n        this.epsilon_cutoff = kwargs.epsilon_cutoff ?? 0.0;\n        this.eta_cutoff = kwargs.eta_cutoff ?? 0.0;\n        this.diversity_penalty = kwargs.diversity_penalty ?? 0.0;\n        this.repetition_penalty = kwargs.repetition_penalty ?? 1.0;\n        this.encoder_repetition_penalty = kwargs.encoder_repetition_penalty ?? 1.0;\n        this.length_penalty = kwargs.length_penalty ?? 1.0;\n        this.no_repeat_ngram_size = kwargs.no_repeat_ngram_size ?? 0;\n        this.bad_words_ids = kwargs.bad_words_ids ?? null;\n        this.force_words_ids = kwargs.force_words_ids ?? null;\n        this.renormalize_logits = kwargs.renormalize_logits ?? false;\n        this.constraints = kwargs.constraints ?? null;\n        this.forced_bos_token_id = kwargs.forced_bos_token_id ?? null;\n        this.forced_eos_token_id = kwargs.forced_eos_token_id ?? null;\n        this.remove_invalid_values = kwargs.remove_invalid_values ?? false;\n        this.exponential_decay_length_penalty = kwargs.exponential_decay_length_penalty ?? null;\n        this.suppress_tokens = kwargs.suppress_tokens ?? null;\n        this.begin_suppress_tokens = kwargs.begin_suppress_tokens ?? null;\n        this.forced_decoder_ids = kwargs.forced_decoder_ids ?? null;\n\n        // Parameters that define the output variables of `generate`\n        this.num_return_sequences = kwargs.num_return_sequences ?? 1;\n        this.output_attentions = kwargs.output_attentions ?? false;\n        this.output_hidden_states = kwargs.output_hidden_states ?? false;\n        this.output_scores = kwargs.output_scores ?? false;\n        this.return_dict_in_generate = kwargs.return_dict_in_generate ?? false;\n\n        // Special tokens that can be used at generation time\n        this.pad_token_id = kwargs.pad_token_id ?? null;\n        this.bos_token_id = kwargs.bos_token_id ?? null;\n        this.eos_token_id = kwargs.eos_token_id ?? null;\n\n        // Generation parameters exclusive to encoder-decoder models\n        this.encoder_no_repeat_ngram_size = kwargs.encoder_no_repeat_ngram_size ?? 0;\n        this.decoder_start_token_id = kwargs.decoder_start_token_id ?? null;\n\n        // Wild card\n        this.generation_kwargs = kwargs.generation_kwargs ?? {};\n    }\n});\n\n/**\n * Sampler is a base class for all sampling methods used for text generation.\n */\nexport class Sampler extends Callable {\n    /**\n     * Creates a new Sampler object with the specified generation config.\n     * @param {GenerationConfigType} generation_config The generation config.\n     */\n    constructor(generation_config) {\n        super();\n        this.generation_config = generation_config;\n    }\n\n    /**\n     * Executes the sampler, using the specified logits.\n     * @param {Tensor} logits\n     * @param {number} index\n     * @returns {void}\n     */\n    _call(logits, index = -1) {\n        // Sample from logits, of dims [batch, sequence_length, vocab_size].\n        // If index is specified, sample from [batch, index, vocab_size].\n        return this.sample(logits, index);\n    }\n\n    /**\n     * Abstract method for sampling the logits.\n     * @param {Tensor} logits\n     * @param {number} index\n     * @throws {Error}\n     */\n    sample(logits, index) {\n        throw Error(\"sample should be implemented in subclasses.\")\n    }\n\n    /**\n     * Returns the specified logits as an array, with temperature applied.\n     * @param {Tensor} logits\n     * @param {number} index\n     * @returns {Float32Array}\n     */\n    getLogits(logits, index) {\n        let vocabSize = logits.dims.at(-1);\n\n        let logs = /** @type {Float32Array} */(logits.data);\n\n        if (index === -1) {\n            logs = logs.slice(-vocabSize);\n        } else {\n            let startIndex = index * vocabSize;\n            logs = logs.slice(startIndex, startIndex + vocabSize);\n        }\n\n        // add temperature\n        if (this.generation_config.temperature > 0) {\n            logs = logs.map(x => x / this.generation_config.temperature)\n        }\n        return logs;\n    }\n\n    /**\n     * Selects an item randomly based on the specified probabilities.\n     * @param {Array} probabilities An array of probabilities to use for selection.\n     * @returns {number} The index of the selected item.\n     */\n    randomSelect(probabilities) {\n        // Return index of chosen item\n        let sumProbabilities = probabilities.reduce((acc, curr) => acc + curr, 0);\n\n        let r = Math.random() * sumProbabilities;\n        for (let i = 0; i < probabilities.length; ++i) {\n            r -= probabilities[i];\n            if (r <= 0) {\n                return i;\n            }\n        }\n        return 0; // return first (most probable) as a fallback\n    }\n\n    /**\n     * Returns a Sampler object based on the specified options.\n     * @param {GenerationConfigType} generation_config An object containing options for the sampler.\n     * @returns {Sampler} A Sampler object.\n     */\n    static getSampler(generation_config) {\n        // - *greedy decoding*: `num_beams=1` and `do_sample=False`\n        // - *contrastive search*: `penalty_alpha>0` and `top_k>1`\n        // - *multinomial sampling*: `num_beams=1` and `do_sample=True`\n        // - *beam-search decoding*: `num_beams>1` and `do_sample=False`\n        // - *beam-search multinomial sampling*: `num_beams>1` and `do_sample=True`\n        // - *diverse beam-search decoding*: `num_beams>1` and `num_beam_groups>1`\n        // - *constrained beam-search decoding*: `constraints!=None` or `force_words_ids!=None`\n\n        // NOTE: beam search is implemented directly into the generation function\n        if (generation_config.do_sample) {\n            return new MultinomialSampler(generation_config);\n\n        } else if (generation_config.num_beams > 1) {\n            return new BeamSearchSampler(generation_config);\n\n        } else {\n            if (generation_config.num_return_sequences > 1) {\n                throw Error(`num_return_sequences has to be 1 when doing greedy search, but is ${generation_config.num_return_sequences}.`)\n            }\n            return new GreedySampler(generation_config);\n        }\n    }\n}\n\n/**\n * Class representing a Greedy Sampler.\n * @extends Sampler\n */\nclass GreedySampler extends Sampler {\n    /**\n     * Sample the maximum probability of a given logits tensor.\n     * @param {Tensor} logits\n     * @param {number} [index=-1]\n     * @returns {Array} An array with a single tuple, containing the index of the maximum value and a meaningless score (since this is a greedy search).\n     */\n    sample(logits, index = -1) {\n        // NOTE: no need to do log_softmax here since we only take the maximum\n        let logs = this.getLogits(logits, index);\n        let argmax = max(logs)[1];\n\n        // Note: score is meaningless in this context, since we are performing\n        // greedy search (p = 1 => log(p) = 0)\n        return [\n            [argmax, 0]\n        ];\n    }\n}\n\n/**\n * Class representing a MultinomialSampler.\n * @extends Sampler\n */\nclass MultinomialSampler extends Sampler {\n\n    /**\n     * Sample from the logits.\n     * @param {Tensor} logits\n     * @param {number} index\n     * @returns {Array}\n     */\n    sample(logits, index = -1) {\n        let k = logits.dims.at(-1); // defaults to vocab size\n        if (this.generation_config.top_k > 0) {\n            k = Math.min(this.generation_config.top_k, k);\n        }\n\n        // Get logits of nth token\n        const logs = this.getLogits(logits, index);\n\n        // Get top k tokens\n        const topLogits = getTopItems(logs, k);\n\n        // Compute softmax over logits\n        const probabilities = softmax(topLogits.map(x => x[1]));\n\n        return Array.from({ length: this.generation_config.num_beams }, () => {\n            const sampledIndex = this.randomSelect(probabilities);\n            return [\n                topLogits[sampledIndex][0], // token id\n                Math.log(probabilities[sampledIndex]), // score\n            ];\n        });\n    }\n}\n\n\n/**\n * Class representing a BeamSearchSampler.\n * @extends Sampler\n */\nclass BeamSearchSampler extends Sampler {\n\n    /**\n     * Sample from the logits.\n     * @param {Tensor} logits\n     * @param {number} index\n     * @returns {Array}\n     */\n    sample(logits, index = -1) {\n        let k = logits.dims.at(-1); // defaults to vocab size\n        if (this.generation_config.top_k > 0) {\n            k = Math.min(this.generation_config.top_k, k);\n        }\n\n        // Get logits of nth token\n        const logs = this.getLogits(logits, index);\n\n        // Get top k tokens\n        const topLogits = getTopItems(logs, k);\n\n        // Compute softmax over logits\n        const probabilities = softmax(topLogits.map(x => x[1]));\n\n        return Array.from({ length: this.generation_config.num_beams }, (_, i) => {\n            return [\n                topLogits[i][0], // token id\n                Math.log(probabilities[i]), // score\n            ];\n        });\n    }\n}\n","\n/**\n * @file Definitions of all models available in Transformers.js.\n * \n * **Example:** Load and run an `AutoModel`.\n * \n * ```javascript\n * import { AutoModel, AutoTokenizer } from '@xenova/transformers';\n *\n * let tokenizer = await AutoTokenizer.from_pretrained('Xenova/bert-base-uncased');\n * let model = await AutoModel.from_pretrained('Xenova/bert-base-uncased');\n *\n * let inputs = await tokenizer('I love transformers!');\n * let { logits } = await model(inputs);\n * // Tensor {\n * //     data: Float32Array(183132) [-7.117443084716797, -7.107812881469727, -7.092104911804199, ...]\n * //     dims: (3) [1, 6, 30522],\n * //     type: \"float32\",\n * //     size: 183132,\n * // }\n * ```\n * \n * We also provide other `AutoModel`s (listed below), which you can use in the same way as the Python library. For example:\n * \n * **Example:** Load and run an `AutoModelForSeq2SeqLM`.\n * ```javascript\n * import { AutoModelForSeq2SeqLM, AutoTokenizer } from '@xenova/transformers';\n * \n * let tokenizer = await AutoTokenizer.from_pretrained('Xenova/t5-small');\n * let model = await AutoModelForSeq2SeqLM.from_pretrained('Xenova/t5-small');\n *\n * let { input_ids } = await tokenizer('translate English to German: I love transformers!');\n * let outputs = await model.generate(input_ids);\n * let decoded = tokenizer.decode(outputs[0], { skip_special_tokens: true });\n * // 'Ich liebe Transformatoren!'\n * ```\n * \n * @module models\n */\n\nimport {\n    AutoConfig,\n} from './configs.js';\n\nimport {\n    Callable,\n    isIntegralNumber,\n    isTypedArray,\n    mergeArrays,\n} from './utils/core.js';\n\nimport {\n    getModelFile,\n    getModelJSON,\n} from './utils/hub.js';\n\nimport {\n    LogitsProcessorList,\n    GenerationConfig,\n    ForceTokensLogitsProcessor,\n    ForcedBOSTokenLogitsProcessor,\n    ForcedEOSTokenLogitsProcessor,\n    SuppressTokensAtBeginLogitsProcessor,\n    WhisperTimeStampLogitsProcessor,\n    NoRepeatNGramLogitsProcessor,\n    RepetitionPenaltyLogitsProcessor,\n    NoBadWordsLogitsProcessor,\n    MinLengthLogitsProcessor,\n    MinNewTokensLengthLogitsProcessor,\n\n    Sampler,\n} from './utils/generation.js';\n\nimport {\n    cat,\n    dynamicTimeWarping,\n    mean,\n    ones_like,\n    stack,\n    std_mean,\n    Tensor,\n} from './utils/tensor.js';\n\nimport { executionProviders, ONNX } from './backends/onnx.js';\nimport { medianFilter } from './transformers.js';\nconst { InferenceSession, Tensor: ONNXTensor, env } = ONNX;\n\n/** @typedef {import('onnxruntime-web').InferenceSession} InferenceSession */\n\n//////////////////////////////////////////////////\n// Model types: used internally\nconst MODEL_TYPES = {\n    EncoderOnly: 0,\n    EncoderDecoder: 1,\n    Seq2Seq: 2,\n    Vision2Seq: 3,\n    DecoderOnly: 4,\n    MaskGeneration: 5,\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Helper functions\n\n// NOTE: These will be populated fully later\nconst MODEL_TYPE_MAPPING = new Map();\nconst MODEL_NAME_TO_CLASS_MAPPING = new Map();\nconst MODEL_CLASS_TO_NAME_MAPPING = new Map();\n\n\n/**\n * Constructs an InferenceSession using a model file located at the specified path.\n * @param {string} pretrained_model_name_or_path The path to the directory containing the model file.\n * @param {string} fileName The name of the model file.\n * @param {import('./utils/hub.js').PretrainedOptions} options Additional options for loading the model.\n * @returns {Promise<InferenceSession>} A Promise that resolves to an InferenceSession object.\n * @private\n */\nasync function constructSession(pretrained_model_name_or_path, fileName, options) {\n    // TODO add option for user to force specify their desired execution provider\n    let modelFileName = `onnx/${fileName}${options.quantized ? '_quantized' : ''}.onnx`;\n    let buffer = await getModelFile(pretrained_model_name_or_path, modelFileName, true, options);\n\n    try {\n        return await InferenceSession.create(buffer, {\n            executionProviders,\n        });\n    } catch (err) {\n        // If the execution provided was only wasm, throw the error\n        if (executionProviders.length === 1 && executionProviders[0] === 'wasm') {\n            throw err;\n        }\n\n        console.warn(err);\n        console.warn(\n            'Something went wrong during model construction (most likely a missing operation). ' +\n            'Using `wasm` as a fallback. '\n        )\n        return await InferenceSession.create(buffer, {\n            executionProviders: ['wasm']\n        });\n    }\n}\n\n/**\n * Validate model inputs\n * @param {InferenceSession} session The InferenceSession object that will be run.\n * @param {Record<string, Tensor>} inputs The inputs to check.\n * @returns {Record<string, Tensor>} The checked inputs.\n * @throws {Error} If any inputs are missing.\n * @private\n */\nfunction validateInputs(session, inputs) {\n    /**\n     * NOTE: Create either a shallow or deep copy based on `onnx.wasm.proxy`\n     * @type {Record<string, Tensor>}\n     */\n    const checkedInputs = Object.create(null);\n    const missingInputs = [];\n    for (const inputName of session.inputNames) {\n        const tensor = inputs[inputName];\n        // Rare case where one of the model's input names corresponds to a built-in\n        // object name (e.g., toString), which would cause a simple (!tensor) check to fail,\n        // because it's not undefined but a function.\n        if (!(tensor instanceof Tensor)) {\n            missingInputs.push(inputName);\n            continue;\n        }\n        // NOTE: When `env.wasm.proxy is true` the tensor is moved across the Worker\n        // boundary, transferring ownership to the worker and invalidating the tensor.\n        // So, in this case, we simply sacrifice a clone for it.\n        checkedInputs[inputName] = env.wasm.proxy ? tensor.clone() : tensor;\n    }\n    if (missingInputs.length > 0) {\n        throw new Error(\n            `An error occurred during model execution: \"Missing the following inputs: ${missingInputs.join(', ')}.`);\n    }\n\n    const numInputsProvided = Object.keys(inputs).length;\n    const numInputsNeeded = session.inputNames.length;\n    if (numInputsProvided > numInputsNeeded) {\n        // No missing inputs, but too many inputs were provided.\n        // Warn the user and ignore the extra inputs.\n        let ignored = Object.keys(inputs).filter(inputName => !session.inputNames.includes(inputName));\n        console.warn(`WARNING: Too many inputs were provided (${numInputsProvided} > ${numInputsNeeded}). The following inputs will be ignored: \"${ignored.join(', ')}\".`);\n    }\n\n    return checkedInputs;\n}\n\n/**\n * Executes an InferenceSession using the specified inputs.\n * NOTE: `inputs` must contain at least the input names of the model.\n *  - If additional inputs are passed, they will be ignored.\n *  - If inputs are missing, an error will be thrown.\n * \n * @param {InferenceSession} session The InferenceSession object to run.\n * @param {Object} inputs An object that maps input names to input tensors.\n * @returns {Promise<Object>} A Promise that resolves to an object that maps output names to output tensors.\n * @private\n */\nasync function sessionRun(session, inputs) {\n    const checkedInputs = validateInputs(session, inputs);\n    try {\n        // @ts-ignore\n        let output = await session.run(checkedInputs);\n        output = replaceTensors(output);\n        return output;\n    } catch (e) {\n        // This usually occurs when the inputs are of the wrong type.\n        console.error(`An error occurred during model execution: \"${e}\".`);\n        console.error('Inputs given to model:', checkedInputs);\n        throw e;\n    }\n}\n\n/**\n * Replaces ONNX Tensor objects with custom Tensor objects to support additional functions.\n * @param {Object} obj The object to replace tensor objects in.\n * @returns {Object} The object with tensor objects replaced by custom Tensor objects.\n * @private\n */\nfunction replaceTensors(obj) {\n    for (let prop in obj) {\n        if (obj[prop] instanceof ONNXTensor) {\n            obj[prop] = new Tensor(obj[prop]);\n        } else if (typeof obj[prop] === 'object') {\n            replaceTensors(obj[prop]);\n        }\n    }\n    return obj;\n}\n\n\n/**\n * Converts an array or Tensor of integers to an int64 Tensor.\n * @param {Array|Tensor} items The input integers to be converted.\n * @returns {Tensor} The int64 Tensor with the converted values.\n * @throws {Error} If the input array is empty or the input is a batched Tensor and not all sequences have the same length.\n * @private\n */\nfunction toI64Tensor(items) {\n    if (items instanceof Tensor) {\n        return items;\n    }\n    // items is an array\n    if (items.length === 0) {\n        throw Error(\"items must be non-empty\");\n    }\n\n    if (Array.isArray(items[0])) {\n        // batched\n        if (items.some(x => x.length !== items[0].length)) {\n            throw Error(\"Unable to create tensor, you should probably activate truncation and/or padding with 'padding=True' and/or 'truncation=True' to have batched tensors with the same length.\")\n        }\n\n        return new Tensor('int64',\n            BigInt64Array.from(items.flat().map(x => BigInt(x))),\n            [items.length, items[0].length]\n        );\n    } else {\n        //flat\n        return new Tensor('int64',\n            BigInt64Array.from(items.map(x => BigInt(x))),\n            [1, items.length]\n        );\n    }\n}\n\n/**\n * Prepares an attention mask for a sequence of tokens based on configuration options.\n * @param {Object} self The calling object instance.\n * @param {Tensor} tokens The input tokens.\n * @returns {Tensor} The attention mask tensor.\n * @private\n */\nfunction prepareAttentionMask(self, tokens) {\n\n    // Prepare attention mask\n    let pad_token_id = self.config.pad_token_id ?? null;\n    let eos_token_id = self.config.eos_token_id ?? null;\n    if (isIntegralNumber(eos_token_id)) {\n        eos_token_id = [eos_token_id];\n    }\n\n    let is_pad_token_in_inputs = tokens.indexOf(pad_token_id) !== -1;\n    let is_pad_token_not_equal_to_eos_token_id = (eos_token_id === null) || !eos_token_id.includes(pad_token_id)\n\n    if (is_pad_token_in_inputs && is_pad_token_not_equal_to_eos_token_id) {\n        let data = BigInt64Array.from(\n            // Note: != so that int matches bigint\n            // @ts-ignore\n            tokens.data.map(x => x != pad_token_id)\n        )\n        return new Tensor('int64', data, tokens.dims)\n    } else {\n        return ones_like(tokens);\n    }\n}\n\n/**\n * Add position IDs to the feeds object.\n * @param {Object} session The inference session.\n * @param {Object} feeds The input to the model.\n * @param {boolean} use_cache_branch Whether to use the cache branch of the model.\n * @returns {void}\n * @private\n */\nfunction preparePositionIds(session, feeds, use_cache_branch) {\n    if (!session.inputNames.includes('position_ids')) return;\n\n    const data = new BigInt64Array(feeds.attention_mask.data.length);\n\n    // Compute cumulative sum of the attention mask along the sequence length dimension\n    for (let i = 0; i < feeds.attention_mask.dims[0]; ++i) {\n        let start = i * feeds.attention_mask.dims[1];\n        let sum = BigInt(0);\n        for (let j = 0; j < feeds.attention_mask.dims[1]; ++j) {\n            const index = start + j;\n            if (feeds.attention_mask.data[index] === 0n) {\n                data[index] = BigInt(1);\n            } else { // === 1n\n                data[index] = sum;\n                sum += feeds.attention_mask.data[index];\n            }\n        }\n    }\n\n    feeds.position_ids = new Tensor('int64', data, feeds.attention_mask.dims);\n\n    if (use_cache_branch) {\n        feeds.position_ids = feeds.position_ids.slice(null, -1).unsqueeze_(-1);\n    }\n}\n\n/**\n * Creates a boolean tensor with a single value.\n * @param {boolean} value The value of the tensor.\n * @returns {Tensor} The boolean tensor.\n * @private\n */\nfunction boolTensor(value) {\n    return new Tensor('bool', [value], [1]);\n}\n\n// JS doesn't support mixins, so we define some reused functions here, and allow \"this\" to be passed in\n/**\n * Perform forward pass on the seq2seq model (both encoder and decoder).\n * @param {Object} self The seq2seq model object.\n * @param {Object} model_inputs The input object for the model containing encoder and decoder inputs.\n * @returns {Promise<Seq2SeqLMOutput>} Promise that resolves with the output of the seq2seq model.\n * @private\n */\nasync function seq2seqForward(self, model_inputs) {\n\n    let { encoder_outputs, past_key_values } = model_inputs;\n\n    if (!encoder_outputs) {\n        // Encoder outputs are not given, so we must compute them.\n        encoder_outputs = (await encoderForward(self, model_inputs)).last_hidden_state;\n    }\n    let decoderFeeds = {\n        input_ids: model_inputs.decoder_input_ids,\n        encoder_hidden_states: encoder_outputs,\n    };\n    const use_cache_branch = !!past_key_values;\n\n    if (self.decoder_merged_session.inputNames.includes('use_cache_branch')) {\n        decoderFeeds.use_cache_branch = boolTensor(use_cache_branch);\n    }\n\n    if (self.decoder_merged_session.inputNames.includes('encoder_attention_mask')) {\n        decoderFeeds.encoder_attention_mask = model_inputs.attention_mask\n    }\n\n    preparePositionIds(self.decoder_merged_session, decoderFeeds, use_cache_branch);\n    self.addPastKeyValues(decoderFeeds, past_key_values);\n\n    const decoderResults = await sessionRun(self.decoder_merged_session, decoderFeeds);\n    let logits = decoderResults.logits;\n    past_key_values = self.getPastKeyValues(decoderResults, past_key_values);\n\n    // Get cross attention and/or decoder attentions if they are present\n    const attns = self.getAttentions(decoderResults);\n\n    return new Seq2SeqLMOutput({ logits, past_key_values, encoder_outputs, ...attns });\n}\n\n/**\n * Start the beam search process for the seq2seq model.\n * @param {PreTrainedModel} self The seq2seq model object.\n * @param {Tensor} inputTokenIds Array of input token ids for each input sequence.\n * @param {Object} generation_config The generation config.\n * @param {number} numOutputTokens The maximum number of output tokens for the model.\n * @returns {Object[]} Array of beam search objects.\n * @private\n */\nfunction seq2seqStartBeams(self, inputTokenIds, generation_config, numOutputTokens) {\n    let beams = [];\n    let beamId = 0;\n\n    // @ts-ignore\n    const requires_attention_mask = self.requires_attention_mask ?? true;\n\n    // decoder_input_ids == output_token_ids\n    let decoder_input_ids =\n        generation_config.decoder_input_ids\n        ?? generation_config.decoder_start_token_id\n        ?? generation_config.bos_token_id\n        ?? generation_config.eos_token_id;\n\n    // Support input as tensor or list\n    // TODO support batched decoder_input_ids\n    if (decoder_input_ids instanceof Tensor) {\n        decoder_input_ids = decoder_input_ids.tolist().flat();\n    } else if (!Array.isArray(decoder_input_ids)) {\n        decoder_input_ids = [decoder_input_ids];\n    }\n\n    for (let tokens of inputTokenIds) {\n        // TODO: Improve\n        // Currently, just add back batch dimension.\n        // In future, allow for true parallel execution\n        tokens.dims = [1, ...tokens.dims]\n\n        // Create beam\n        let start = {\n            inputs: tokens,\n            encoder_outputs: null,\n            prev_model_outputs: null,\n\n            output_token_ids: decoder_input_ids,\n            done: false,\n            score: 0,\n            id: beamId++ // assign unique id to beams\n        }\n\n        if (requires_attention_mask) {\n            start.attention_mask = prepareAttentionMask(self, tokens);\n        }\n\n        beams.push(start);\n    }\n\n    return beams;\n}\n\n/**\n * Run beam search on the seq2seq model for a single beam.\n * @param {PreTrainedModel} self The seq2seq model object.\n * @param {Object} beam The beam search object for which to run the model.\n * @param {Object} options options\n * @param {string} [options.input_name='input_ids'] The name of the input tensor for the encoder.\n * @returns {Promise<Object>} Promise that resolves with the output of the seq2seq model for the given beam.\n * @private\n */\nasync function seq2seqRunBeam(self, beam) {\n    const input_name = self.main_input_name;\n\n    let decoder_input_ids = beam.output_token_ids;\n    if (beam.prev_model_outputs) {\n        // After the first step, `prev_model_outputs` won't be null.\n        // So, we cut decoder_input_ids if past is used\n        decoder_input_ids = decoder_input_ids.slice(-1);\n    }\n\n    // 1. Prepare\n    let model_inputs = {\n        [input_name]: beam.inputs,\n        decoder_input_ids: toI64Tensor(decoder_input_ids),\n        encoder_outputs: beam.encoder_outputs,\n        past_key_values: beam.prev_model_outputs?.past_key_values,\n    }\n    if (beam.attention_mask) {\n        model_inputs.attention_mask = beam.attention_mask\n    }\n\n    // 2. Run\n    let output = await self.forward(model_inputs);\n\n    // 3. Update\n    beam.prev_model_outputs = output;\n    beam.encoder_outputs = output.encoder_outputs;\n\n    return output;\n}\n\n/**\n * Update a beam with a new token ID.\n * @param {Object} beam The beam to update.\n * @param {number} newTokenId The new token ID to add to the beam's output.\n * @private\n */\nfunction seq2seqUpdatebeam(beam, newTokenId) {\n    beam.output_token_ids = [...beam.output_token_ids, newTokenId];\n}\n\n/**\n * Forward pass of an encoder model.\n * @param {Object} self The encoder model.\n * @param {Object} model_inputs The input data to be used for the forward pass.\n * @returns {Promise<Object>} Promise that resolves with an object containing the model's outputs.\n * @private\n */\nasync function encoderForward(self, model_inputs) {\n    const encoderFeeds = Object.create(null);\n    for (const key of self.session.inputNames) {\n        encoderFeeds[key] = model_inputs[key];\n    }\n    if (self.session.inputNames.includes('token_type_ids') && !encoderFeeds.token_type_ids) {\n        // Assign default `token_type_ids` (all zeroes) to the `encoderFeeds` if the model expects it,\n        // but they weren't created by the tokenizer.\n        encoderFeeds.token_type_ids = new Tensor(\n            'int64',\n            new BigInt64Array(encoderFeeds.input_ids.data.length),\n            encoderFeeds.input_ids.dims\n        )\n    }\n    return await sessionRun(self.session, encoderFeeds);\n}\n\n\n/**\n * Forward pass of a decoder model.\n * @param {Object} self The decoder model.\n * @param {Object} model_inputs The input data to be used for the forward pass.\n * @returns {Promise<Object>} Promise that resolves with an object containing the logits and past key values.\n * @private\n */\nasync function decoderForward(self, model_inputs) {\n    let { input_ids, past_key_values, attention_mask } = model_inputs;\n    let decoderFeeds = {\n        input_ids: input_ids,\n        attention_mask: attention_mask ?? prepareAttentionMask(self, input_ids),\n    }\n    const use_cache_branch = !!past_key_values;\n\n    if (self.session.inputNames.includes('use_cache_branch')) {\n        decoderFeeds.use_cache_branch = boolTensor(use_cache_branch);\n    }\n\n    preparePositionIds(self.session, decoderFeeds, use_cache_branch);\n\n    self.addPastKeyValues(decoderFeeds, past_key_values);\n\n    let decoderResults = await sessionRun(self.session, decoderFeeds);\n\n    let logits = decoderResults.logits;\n\n    past_key_values = self.getPastKeyValues(decoderResults, past_key_values);\n    return { logits, past_key_values };\n}\n\n/**\n * Starts the generation of text by initializing the beams for the given input token IDs.\n * @param {Object} self The text generation model object.\n * @param {Tensor} inputTokenIds An tensor of input token IDs to generate text from.\n * @param {Object} generation_config The generation config.\n * @param {number} numOutputTokens The maximum number of tokens to generate for each beam.\n * @param {Tensor} [inputs_attention_mask] The attention mask tensor for the input token IDs.\n * @returns {Object[]} An array of beams initialized with the given inputs and parameters.\n * @private\n */\nfunction decoderStartBeams(self, inputTokenIds, generation_config, numOutputTokens, inputs_attention_mask) {\n    let beams = [];\n\n    let beamId = 0;\n    for (let tokens of inputTokenIds) {\n        let output_token_ids = tokens.tolist().map(Number);\n\n        // TODO: Improve\n        // Currently, just add back batch dimension.\n        // In future, allow for true parallel execution\n        tokens.dims = [1, ...tokens.dims]\n\n        let attn_mask;\n        if (inputs_attention_mask) {\n            attn_mask = inputs_attention_mask[beamId];\n            attn_mask.dims = [1, ...attn_mask.dims]\n\n        } else {\n            attn_mask = prepareAttentionMask(self, tokens)\n        }\n\n        let start = {\n            input: tokens,\n            model_input_ids: tokens,\n            attention_mask: attn_mask,\n            prev_model_outputs: null,\n\n            output_token_ids: output_token_ids,\n            num_output_tokens: numOutputTokens,\n\n            done: false,\n            score: 0,\n            id: beamId++ // assign unique id to beams\n        }\n\n        beams.push(start);\n    }\n    return beams;\n}\n\n/**\n * Runs a single step of the text generation process for a given beam.\n *\n * @param {Object} self The decoder object.\n * @param {Object} beam The beam to run.\n * @param {Tensor} beam.input The input tensor.\n * @param {Tensor} beam.model_input_ids The input ids to the model.\n * @param {Tensor} beam.attention_mask The attention mask.\n * @param {Object} beam.prev_model_outputs The past key values.\n * @param {number[]} beam.output_token_ids The output token ids.\n * @returns {Promise<Object>} The output of the generation step.\n * @private\n */\nasync function decoderRunBeam(self, beam) {\n    let attnMaskData = new BigInt64Array(beam.output_token_ids.length).fill(1n)\n\n    // 1. Prepare\n    let model_inputs = {\n        input_ids: beam.model_input_ids,\n        attention_mask: new Tensor(\n            'int64',\n            attnMaskData,\n            [1, attnMaskData.length]\n        ),\n        past_key_values: beam.prev_model_outputs?.past_key_values,\n    }\n\n    // 2. Run\n    let output = await self.forward(model_inputs);\n\n    // 3. Update\n    beam.prev_model_outputs = output;\n\n    return output;\n}\n\n/**\n * Update a beam with a new token ID.\n * @param {Object} beam The beam to update.\n * @param {number} newTokenId The new token ID to add to the beam's output.\n * @private\n */\nfunction decoderUpdatebeam(beam, newTokenId) {\n    beam.output_token_ids = [...beam.output_token_ids, newTokenId];\n    beam.model_input_ids = new Tensor('int64', [BigInt(newTokenId)], [1, 1]);\n}\n\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n/**\n * A base class for pre-trained models that provides the model configuration and an ONNX session.\n */\nexport class PreTrainedModel extends Callable {\n    main_input_name = 'input_ids';\n\n    /**\n     * Creates a new instance of the `PreTrainedModel` class.\n     * @param {Object} config The model configuration.\n     * @param {any} session session for the model.\n     */\n    constructor(config, session) {\n        super();\n\n        this.config = config;\n        this.session = session;\n\n        const modelName = MODEL_CLASS_TO_NAME_MAPPING.get(this.constructor);\n        const modelType = MODEL_TYPE_MAPPING.get(modelName);\n\n        this.can_generate = false;\n        this._runBeam = null;\n        this._getStartBeams = null;\n        this._updateBeam = null;\n        this._forward = null;\n        if (modelType === MODEL_TYPES.DecoderOnly) {\n            this.can_generate = true;\n\n            this._runBeam = decoderRunBeam;\n            this._getStartBeams = decoderStartBeams;\n            this._updateBeam = decoderUpdatebeam;\n            this._forward = decoderForward;\n\n        } else if (modelType === MODEL_TYPES.Seq2Seq || modelType === MODEL_TYPES.Vision2Seq) {\n            this.can_generate = true;\n\n            this._runBeam = seq2seqRunBeam;\n            this._getStartBeams = seq2seqStartBeams;\n            this._updateBeam = seq2seqUpdatebeam;\n            this._forward = seq2seqForward;\n\n        } else if (modelType === MODEL_TYPES.EncoderDecoder) {\n            this._forward = encoderForward;\n\n        } else { // should be MODEL_TYPES.EncoderOnly\n            this._forward = encoderForward;\n        }\n    }\n\n    /**\n    * Disposes of all the ONNX sessions that were created during inference.\n    * @returns {Promise<unknown[]>} An array of promises, one for each ONNX session that is being disposed.\n    * @todo Use https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/FinalizationRegistry\n    */\n    async dispose() {\n        const promises = [];\n        for (let key of Object.keys(this)) {\n            const item = this[key];\n            // @ts-ignore\n            if (item instanceof InferenceSession) {\n                promises.push(item.handler.dispose())\n            }\n        }\n        return await Promise.all(promises);\n    }\n\n    /**\n     * Instantiate one of the model classes of the library from a pretrained model.\n     * \n     * The model class to instantiate is selected based on the `model_type` property of the config object\n     * (either passed as an argument or loaded from `pretrained_model_name_or_path` if possible)\n     * \n     * @param {string} pretrained_model_name_or_path The name or path of the pretrained model. Can be either:\n     * - A string, the *model id* of a pretrained model hosted inside a model repo on huggingface.co.\n     *   Valid model ids can be located at the root-level, like `bert-base-uncased`, or namespaced under a\n     *   user or organization name, like `dbmdz/bert-base-german-cased`.\n     * - A path to a *directory* containing model weights, e.g., `./my_model_directory/`.\n     * @param {import('./utils/hub.js').PretrainedOptions} options Additional options for loading the model.\n     * \n     * @returns {Promise<PreTrainedModel>} A new instance of the `PreTrainedModel` class.\n     */\n    static async from_pretrained(pretrained_model_name_or_path, {\n        quantized = true,\n        progress_callback = null,\n        config = null,\n        cache_dir = null,\n        local_files_only = false,\n        revision = 'main',\n        model_file_name = null,\n    } = {}) {\n\n        let options = {\n            quantized,\n            progress_callback,\n            config,\n            cache_dir,\n            local_files_only,\n            revision,\n            model_file_name,\n        }\n\n        const modelName = MODEL_CLASS_TO_NAME_MAPPING.get(this);\n        const modelType = MODEL_TYPE_MAPPING.get(modelName);\n\n        let info;\n        if (modelType === MODEL_TYPES.DecoderOnly) {\n            info = await Promise.all([\n                AutoConfig.from_pretrained(pretrained_model_name_or_path, options),\n                constructSession(pretrained_model_name_or_path, options.model_file_name ?? 'decoder_model_merged', options),\n                getModelJSON(pretrained_model_name_or_path, 'generation_config.json', false, options),\n            ]);\n\n        } else if (modelType === MODEL_TYPES.Seq2Seq || modelType === MODEL_TYPES.Vision2Seq) {\n            info = await Promise.all([\n                AutoConfig.from_pretrained(pretrained_model_name_or_path, options),\n                constructSession(pretrained_model_name_or_path, 'encoder_model', options),\n                constructSession(pretrained_model_name_or_path, 'decoder_model_merged', options),\n                getModelJSON(pretrained_model_name_or_path, 'generation_config.json', false, options),\n            ]);\n\n        } else if (modelType === MODEL_TYPES.MaskGeneration) {\n            info = await Promise.all([\n                AutoConfig.from_pretrained(pretrained_model_name_or_path, options),\n                constructSession(pretrained_model_name_or_path, 'vision_encoder', options),\n                constructSession(pretrained_model_name_or_path, 'prompt_encoder_mask_decoder', options),\n            ]);\n\n        } else if (modelType === MODEL_TYPES.EncoderDecoder) {\n            info = await Promise.all([\n                AutoConfig.from_pretrained(pretrained_model_name_or_path, options),\n                constructSession(pretrained_model_name_or_path, 'encoder_model', options),\n                constructSession(pretrained_model_name_or_path, 'decoder_model_merged', options),\n            ]);\n\n        } else { // should be MODEL_TYPES.EncoderOnly\n            if (modelType !== MODEL_TYPES.EncoderOnly) {\n                console.warn(`Model type for '${modelName ?? config?.model_type}' not found, assuming encoder-only architecture. Please report this at https://github.com/xenova/transformers.js/issues/new/choose.`)\n            }\n            info = await Promise.all([\n                AutoConfig.from_pretrained(pretrained_model_name_or_path, options),\n                constructSession(pretrained_model_name_or_path, options.model_file_name ?? 'model', options)\n            ]);\n        }\n\n        // @ts-ignore\n        return new this(...info);\n    }\n\n    /**\n     * Runs the model with the provided inputs\n     * @param {Object} model_inputs Object containing input tensors\n     * @returns {Promise<Object>} Object containing output tensors\n     */\n    async _call(model_inputs) {\n        return await this.forward(model_inputs);\n    }\n\n    /**\n     * Forward method for a pretrained model. If not overridden by a subclass, the correct forward method\n     * will be chosen based on the model type.\n     * @param {Object} model_inputs The input data to the model in the format specified in the ONNX model.\n     * @returns {Promise<Object>} The output data from the model in the format specified in the ONNX model.\n     * @throws {Error} This method must be implemented in subclasses.\n     */\n    async forward(model_inputs) {\n        return await this._forward(this, model_inputs);\n    }\n\n    /**\n     * @param {import('./utils/generation.js').GenerationConfigType} generation_config \n     * @param {number} input_ids_seq_length The starting sequence length for the input ids.\n     * @returns {LogitsProcessorList}\n     * @private\n     */\n    _get_logits_processor(\n        generation_config,\n        input_ids_seq_length,\n        // encoder_input_ids, TODO\n        // prefix_allowed_tokens_fn, TODO\n        logits_processor = null\n    ) {\n        const processors = new LogitsProcessorList();\n\n        // if (generation_config.diversity_penalty !== null && generation_config.diversity_penalty > 0.0) {\n        //     processors.push(new HammingDiversityLogitsProcessor(\n        //         generation_config.diversity_penalty,\n        //         generation_config.num_beams,\n        //         generation_config.num_beam_groups\n        //     ));\n        // }\n\n        // if (generation_config.encoder_repetition_penalty !== null && generation_config.encoder_repetition_penalty !== 1.0) {\n        //     processors.push(new EncoderRepetitionPenaltyLogitsProcessor(\n        //         generation_config.encoder_repetition_penalty,\n        //         encoder_input_ids\n        //     ));\n        // }\n\n        if (generation_config.repetition_penalty !== null && generation_config.repetition_penalty !== 1.0) {\n            processors.push(new RepetitionPenaltyLogitsProcessor(generation_config.repetition_penalty));\n        }\n\n        if (generation_config.no_repeat_ngram_size !== null && generation_config.no_repeat_ngram_size > 0) {\n            processors.push(new NoRepeatNGramLogitsProcessor(generation_config.no_repeat_ngram_size));\n        }\n\n        // if (generation_config.encoder_no_repeat_ngram_size !== null && generation_config.encoder_no_repeat_ngram_size > 0) {\n        //     if (this.config.is_encoder_decoder) {\n        //         processors.push(new EncoderNoRepeatNGramLogitsProcessor(\n        //             generation_config.encoder_no_repeat_ngram_size,\n        //             encoder_input_ids\n        //         ));\n        //     } else {\n        //         throw new Error(\"It's impossible to use `encoder_no_repeat_ngram_size` with decoder-only architecture\");\n        //     }\n        // }\n\n        if (generation_config.bad_words_ids !== null) {\n            processors.push(new NoBadWordsLogitsProcessor(generation_config.bad_words_ids, generation_config.eos_token_id));\n        }\n\n        if (generation_config.min_length !== null && generation_config.eos_token_id !== null && generation_config.min_length > 0) {\n            processors.push(new MinLengthLogitsProcessor(generation_config.min_length, generation_config.eos_token_id));\n        }\n\n        if (generation_config.min_new_tokens !== null && generation_config.eos_token_id !== null && generation_config.min_new_tokens > 0) {\n            processors.push(new MinNewTokensLengthLogitsProcessor(\n                input_ids_seq_length,\n                generation_config.min_new_tokens,\n                generation_config.eos_token_id\n            ));\n        }\n\n        // if (prefix_allowed_tokens_fn !== null) {\n        //     processors.push(new PrefixConstrainedLogitsProcessor(\n        //         prefix_allowed_tokens_fn,\n        //         generation_config.num_beams / generation_config.num_beam_groups\n        //     ));\n        // }\n\n\n        if (generation_config.forced_bos_token_id !== null) {\n            processors.push(new ForcedBOSTokenLogitsProcessor(generation_config.forced_bos_token_id));\n        }\n\n        if (generation_config.forced_eos_token_id !== null) {\n            processors.push(new ForcedEOSTokenLogitsProcessor(\n                generation_config.max_length,\n                generation_config.forced_eos_token_id\n            ));\n        }\n\n        // if (generation_config.remove_invalid_values === true) {\n        //     processors.push(new InfNanRemoveLogitsProcessor());\n        // }\n\n        // if (generation_config.exponential_decay_length_penalty !== null) {\n        //     processors.push(new ExponentialDecayLengthPenalty(\n        //         generation_config.exponential_decay_length_penalty,\n        //         generation_config.eos_token_id,\n        //         input_ids_seq_length\n        //     ));\n        // }\n\n        // if (generation_config.suppress_tokens !== null) {\n        //     processors.push(new SuppressTokensLogitsProcessor(generation_config.suppress_tokens));\n        // }\n\n        if (generation_config.begin_suppress_tokens !== null) {\n            let begin_index = (input_ids_seq_length > 1 || generation_config.forced_bos_token_id === null)\n                ? input_ids_seq_length\n                : input_ids_seq_length + 1;\n\n            if (generation_config.forced_decoder_ids !== null) {\n                // generation starts after the last token that is forced\n                begin_index += generation_config.forced_decoder_ids[generation_config.forced_decoder_ids.length - 1][0];\n            }\n            processors.push(new SuppressTokensAtBeginLogitsProcessor(generation_config.begin_suppress_tokens, begin_index));\n        }\n\n        if (generation_config.forced_decoder_ids !== null) {\n            processors.push(new ForceTokensLogitsProcessor(generation_config.forced_decoder_ids));\n        }\n\n        if (logits_processor !== null) {\n            processors.extend(logits_processor)\n        }\n\n        // `LogitNormalization` should always be the last logit processor, when present\n        // if (generation_config.renormalize_logits === true) {\n        //     processors.push(new LogitNormalization());\n        // }\n\n        return processors;\n    }\n\n    /**\n     * This function merges multiple generation configs together to form a final generation config to be used by the model for text generation.\n     * It first creates an empty `GenerationConfig` object, then it applies the model's own `generation_config` property to it. Finally, if a `generation_config` object was passed in the arguments, it overwrites the corresponding properties in the final config with those of the passed config object.\n     * @param {import('./utils/generation.js').GenerationConfigType} generation_config A `GenerationConfig` object containing generation parameters.\n     * @returns {import('./utils/generation.js').GenerationConfigType} The final generation config object to be used by the model for text generation.\n     */\n    _get_generation_config(generation_config) {\n        // Create empty generation config (contains defaults)\n        // We pass `this.config` so that if `eos_token_id` or `bos_token_id` exist in the model's config, we will use them\n        let gen_config = new GenerationConfig(this.config);\n\n        // Apply model's generation config, if it exists\n        if ('generation_config' in this) {\n            Object.assign(gen_config, this.generation_config);\n        }\n\n        // Finally, use any generation config specified by the user\n        // when calling `generate`\n        if (generation_config !== null) {\n            Object.assign(gen_config, generation_config);\n        }\n        return gen_config;\n    }\n\n    /**\n     * @typedef {import('./utils/maths.js').TypedArray} TypedArray\n     */\n\n    /**\n     * @typedef {{ sequences: Tensor, decoder_attentions: Tensor, cross_attentions: Tensor }} EncoderDecoderOutput\n     * @typedef {Object} DecoderOutput\n     * \n     * Generates text based on the given inputs and generation configuration using the model.\n     * @param {Tensor|Array|TypedArray} inputs An array of input token IDs.\n     * @param {Object|GenerationConfig|null} generation_config The generation configuration to use. If null, default configuration will be used.\n     * @param {Object|null} logits_processor An optional logits processor to use. If null, a new LogitsProcessorList instance will be created.\n     * @param {Object} options options\n     * @param {Object} [options.inputs_attention_mask=null] An optional attention mask for the inputs.\n     * @returns {Promise<number[][]|EncoderDecoderOutput|DecoderOutput>} An array of generated output sequences, where each sequence is an array of token IDs.\n     * @throws {Error} Throws an error if the inputs array is empty.\n     */\n    async generate(\n        inputs,\n        generation_config = null,\n        logits_processor = null,\n        {\n            inputs_attention_mask = null\n        } = {},\n    ) {\n        if (!this.can_generate) {\n            const modelName = MODEL_CLASS_TO_NAME_MAPPING.get(this.constructor);\n            let errorMessage = `The current model class (${modelName}) is not compatible with \\`.generate()\\`, as it doesn't have a language model head.`\n\n            const modelType = this.config.model_type;\n            const possibleInfo =\n                MODEL_WITH_LM_HEAD_MAPPING_NAMES.get(modelType)\n                ?? MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES.get(modelType)\n                ?? MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES.get(modelType)\n                // ?? MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES.get(modelType) // TODO\n                ?? MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES.get(modelType);\n\n            if (possibleInfo) {\n                // TODO: support multiple possible classes\n                errorMessage += ` Please use the following class instead: '${possibleInfo[0]}'`;\n            }\n            throw Error(errorMessage);\n        }\n\n        if (!(inputs instanceof Tensor) && !isTypedArray(inputs) && !Array.isArray(inputs)) {\n            throw Error(`\\`inputs\\` must be a Tensor, TypedArray, or Array, but is \"${inputs.constructor.name}\".`);\n        }\n\n        let input_ids_seq_length;\n\n        // Prepare `input_ids` which will be used for auto-regressive generation\n        // TODO: Update to align with HF transformers' implementation\n        if (this.config.is_encoder_decoder) {\n            // Generating from the encoder outputs\n            input_ids_seq_length = 0;\n\n        } else {\n            input_ids_seq_length = inputs instanceof Tensor ? inputs.dims.at(-1) : inputs.length;\n\n            // decoder-only\n            if (input_ids_seq_length === 0) {\n                throw Error(\"Must supply a non-empty array of input token ids.\")\n            }\n        }\n\n        // Update generation config with defaults\n        generation_config = this._get_generation_config(generation_config);\n\n        logits_processor = logits_processor ?? new LogitsProcessorList()\n\n        // Update logits processor\n        logits_processor = this._get_logits_processor(\n            generation_config,\n            input_ids_seq_length,\n            logits_processor\n        )\n\n        /** @type {number[]} */\n        let eos_token_ids = generation_config.eos_token_id;\n        if (eos_token_ids !== null && !Array.isArray(eos_token_ids)) {\n            eos_token_ids = [eos_token_ids];\n        }\n\n        // TODO implement early_stopping\n        // https://huggingface.co/blog/how-to-generate\n\n        let numOutputTokens = 1;\n        const maxOutputTokens = numOutputTokens + (generation_config.max_new_tokens ?? Infinity);\n\n        // Only use max length if max_new_tokens is not provided\n        const useMaxLength = Number.isInteger(generation_config.max_length) && (generation_config.max_new_tokens ?? null) === null;\n        let sampler = Sampler.getSampler(generation_config);\n\n        // @ts-ignore\n        let beams = this.getStartBeams(inputs, generation_config, numOutputTokens, inputs_attention_mask);\n\n        while (beams.some(x => !x.done) && numOutputTokens < maxOutputTokens) {\n            let newest_beams = [];\n            for (let beam of beams) {\n                if (beam.done) {\n                    // Add this beam back into the pool\n                    newest_beams.push(beam);\n                    continue\n                }\n                if (useMaxLength && beam.output_token_ids.length >= generation_config.max_length) {\n                    // Set this beam to done and add it back into the pool\n                    beam.done = true;\n                    newest_beams.push(beam);\n                    continue\n                }\n\n                // @ts-ignore\n                let output = await this.runBeam(beam);\n\n                // add attentions/scores to beam only if user requested\n                if (generation_config.output_attentions) {\n                    this.addAttentionsToBeam(beam, output);\n                }\n                if (generation_config.output_scores) {\n                    // TODO add\n                }\n\n                // Logits are of the form [batch_size, out_seq_length, vocab_size]\n                // In most cases, this will be [batch_size, 1, vocab_size]\n                // So, we select the last token's logits:\n                // (equivalent to `logits = outputs.logits[:, -1, :]`)\n                let logits = output.logits.slice(null, -1, null);\n\n                // Apply logits processor\n                logits_processor(beam.output_token_ids, logits);\n\n                let sampledTokens = sampler(logits);\n                for (let [newTokenId, logProb] of sampledTokens) {\n                    // use previous beam as a starting point\n                    let newBeam = { ...beam };\n\n                    // update new beam\n                    // @ts-ignore\n                    this.updateBeam(newBeam, newTokenId);\n\n                    newBeam.score += logProb;\n\n                    if (eos_token_ids && eos_token_ids.includes(newTokenId)) {\n                        newBeam.done = true;\n                    }\n\n                    newest_beams.push(newBeam);\n                }\n            }\n            ++numOutputTokens;\n\n            // Next, we get the best beams, per ID\n            newest_beams = this.groupBeams(newest_beams).map(\n                group => group\n                    .sort((a, b) => b.score - a.score)      // sort by score\n                    .slice(0, generation_config.num_beams)  // remove outside beam width\n            );\n\n            // Flatten beams\n            beams = newest_beams.flat();\n\n            // Run callback\n            if (generation_config.callback_function) {\n                generation_config.callback_function(beams);\n            }\n        }\n\n        // TODO: Ensure that we can return non-batched outputs\n\n        const groupedBeams = this.groupBeams(beams);\n\n        const getFlattened = (key) => groupedBeams.map(\n            batch => {\n                if (generation_config.num_return_sequences > 1) {\n                    return batch.slice(0, generation_config.num_return_sequences).map(x => x[key]);\n                } else {\n                    return [batch[0][key]];\n                }\n            }\n        ).flat(); // Flatten across batches (depth=1)\n\n        const sequences = getFlattened('output_token_ids'); // [1, seqLength]\n\n        if (generation_config.return_dict_in_generate) {\n            // NOTE: `decoder_attentions` and `cross_attentions` should be:\n            //    list (one element for each generated token)\n            //    of list (one element for each layer of the decoder)\n            //    of torch.FloatTensor of shape (batch_size, num_heads, generated_length, sequence_length)\n            // However, since we are only generating one batch at a time, they are of the form:\n            //   list (batches)\n            //   of list (one element for each generated token)\n            //   of list (one element for each layer of the decoder)\n            //   of torch.FloatTensor of shape (1, num_heads, generated_length, sequence_length)\n            // \n            // TODO: In future (when true parallelism, we should be able to return the correct shape)\n\n            const decoder_attentions = getFlattened('decoder_attentions');\n            const cross_attentions = getFlattened('cross_attentions');\n\n            return {\n                sequences,\n\n                decoder_attentions,\n                cross_attentions,\n            }\n        } else {\n            return sequences;\n        }\n    }\n\n    /**\n     * Helper function to add attentions to beam\n     * @param {Object} beam \n     * @param {Object} output\n     * @private \n     */\n    addAttentionsToBeam(beam, output) {\n        if (this.config.is_encoder_decoder) {\n            if (!output.cross_attentions || output.cross_attentions.length === 0) {\n                throw Error(\n                    \"`output_attentions` is true, but the model did not produce cross-attentions. \" +\n                    \"This is most likely because the model was not exported with `output_attentions=True`.\"\n                )\n            }\n            if (!beam.cross_attentions) {\n                beam.cross_attentions = [];\n            }\n            beam.cross_attentions.push(output.cross_attentions);\n        }\n\n        if (!output.decoder_attentions || output.decoder_attentions.length === 0) {\n            throw Error(\n                \"`output_attentions` is true, but the model did not produce decoder-attentions. \" +\n                \"This is most likely because the model was not exported with `output_attentions=True`.\"\n            )\n        }\n        if (!beam.decoder_attentions) {\n            beam.decoder_attentions = [];\n        }\n        beam.decoder_attentions.push(output.decoder_attentions);\n    }\n\n    /**\n     * Groups an array of beam objects by their ids.\n     *\n     * @param {Array} beams The array of beam objects to group.\n     * @returns {Array} An array of arrays, where each inner array contains beam objects with the same id.\n     */\n    groupBeams(beams) {\n        // Group beams by their ids\n        const groups = Object.create(null);\n        for (const obj of beams) {\n            if (groups[obj.id] === undefined) {\n                groups[obj.id] = [obj];\n            } else {\n                groups[obj.id].push(obj);\n            }\n        }\n\n        return Object.values(groups);\n    }\n\n    /**\n     * Returns an object containing past key values from the given decoder results object.\n     *\n     * @param {Object} decoderResults The decoder results object.\n     * @param {Object} pastKeyValues The previous past key values.\n     * @returns {Object} An object containing past key values.\n     */\n    getPastKeyValues(decoderResults, pastKeyValues) {\n\n        const pkvs = Object.create(null);\n\n        for (const name in decoderResults) {\n            if (name.startsWith('present')) {\n                let newName = name.replace('present', 'past_key_values');\n\n                if (pastKeyValues && name.includes('encoder')) {\n                    // Optimization introduced by optimum to reuse past key values. So, we just replace the constant\n                    // outputs with the previous past key values.\n                    // https://github.com/huggingface/optimum/blob/0bf2c05fb7e1182b52d21b703cfc95fd9e4ea3dc/optimum/onnxruntime/base.py#L677-L704\n                    pkvs[newName] = pastKeyValues[newName];\n                } else {\n                    pkvs[newName] = decoderResults[name];\n                }\n            }\n        }\n        return pkvs;\n    }\n\n    /**\n     * Returns an object containing attentions from the given decoder results object.\n     *\n     * @param {Object} decoderResults The decoder results object.\n     * @returns {Object} An object containing attentions.\n     */\n    getAttentions(decoderResults) {\n        const attns = Object.create(null);\n\n        for (const attnName of ['cross_attentions', 'decoder_attentions']) {\n            const result = [];\n            for (const name in decoderResults) {\n                if (name.startsWith(attnName)) {\n                    const index = name.split('.').pop()\n                    result[index] = decoderResults[name];\n                }\n            }\n            attns[attnName] = result;\n        }\n        return attns;\n    }\n\n    /**\n     * Adds past key values to the decoder feeds object. If pastKeyValues is null, creates new tensors for past key values.\n     *\n     * @param {Object} decoderFeeds The decoder feeds object to add past key values to.\n     * @param {Object} pastKeyValues An object containing past key values.\n     */\n    addPastKeyValues(decoderFeeds, pastKeyValues) {\n        if (pastKeyValues) {\n            Object.assign(decoderFeeds, pastKeyValues)\n        } else {\n            // TODO support batches (i.e., batch_size > 1)\n            const batch_size = 1;\n\n            // @ts-ignore\n            if (this.config.is_encoder_decoder && (this.add_encoder_pkv ?? true)) {\n                // @ts-ignore\n                let encoder_dims = [batch_size, this.num_encoder_heads, 0, this.encoder_dim_kv];\n                // @ts-ignore\n                let decoder_dims = [batch_size, this.num_decoder_heads, 0, this.decoder_dim_kv];\n                // @ts-ignore\n                for (let i = 0; i < this.num_decoder_layers; ++i) {\n                    decoderFeeds[`past_key_values.${i}.encoder.key`] = new Tensor('float32', [], encoder_dims)\n                    decoderFeeds[`past_key_values.${i}.encoder.value`] = new Tensor('float32', [], encoder_dims)\n                    decoderFeeds[`past_key_values.${i}.decoder.key`] = new Tensor('float32', [], decoder_dims)\n                    decoderFeeds[`past_key_values.${i}.decoder.value`] = new Tensor('float32', [], decoder_dims)\n                }\n            } else if (this.config.model_type === 'falcon') {\n                // NOTE: Custom implementation for Falcon\n                // @ts-ignore\n                let dims = [batch_size * this.num_heads, 0, this.dim_kv]\n                // @ts-ignore\n                for (let i = 0; i < this.num_layers; ++i) {\n                    decoderFeeds[`past_key_values.${i}.key`] = new Tensor('float32', [], dims)\n                    decoderFeeds[`past_key_values.${i}.value`] = new Tensor('float32', [], dims)\n                }\n            } else if (this.config.multi_query) { // e.g., for `gpt_bigcode`\n                // @ts-ignore\n                let dims = [batch_size * this.num_heads, 0, 2 * this.dim_kv]\n                // @ts-ignore\n                for (let i = 0; i < this.num_layers; ++i) {\n                    decoderFeeds[`past_key_values.${i}.key_value`] = new Tensor('float32', [], dims)\n                }\n            } else if (this.config.model_type === 'bloom') {\n                // NOTE: Custom implementation for Bloom\n\n                // @ts-ignore\n                let keyDims = [batch_size * this.num_heads, this.dim_kv, 0] // [batch_size x num_heads,64,past_sequence_length]\n                // @ts-ignore\n                let valueDims = [batch_size * this.num_heads, 0, this.dim_kv] // [batch_size x num_heads,past_sequence_length,64]\n                // @ts-ignore\n                for (let i = 0; i < this.num_layers; ++i) {\n                    decoderFeeds[`past_key_values.${i}.key`] = new Tensor('float32', [], keyDims)\n                    decoderFeeds[`past_key_values.${i}.value`] = new Tensor('float32', [], valueDims)\n                }\n            } else { // Decoder-only\n                // @ts-ignore\n                let dims = [batch_size, this.num_heads, 0, this.dim_kv]\n                // @ts-ignore\n                for (let i = 0; i < this.num_layers; ++i) {\n                    decoderFeeds[`past_key_values.${i}.key`] = new Tensor('float32', [], dims)\n                    decoderFeeds[`past_key_values.${i}.value`] = new Tensor('float32', [], dims)\n                }\n            }\n        }\n    }\n\n    /**\n     * Initializes and returns the beam for text generation task\n     * @param {Tensor} inputTokenIds The input token ids.\n     * @param {Object} generation_config The generation config.\n     * @param {number} numOutputTokens The number of tokens to be generated.\n     * @param {Tensor} inputs_attention_mask Optional input attention mask.\n     * @returns {any} A Beam object representing the initialized beam.\n     * @private\n     */\n    getStartBeams(inputTokenIds, generation_config, numOutputTokens, inputs_attention_mask) {\n        return this._getStartBeams(this, inputTokenIds, generation_config, numOutputTokens, inputs_attention_mask)\n    }\n\n    /**\n     * Runs a single step of the beam search generation algorithm.\n     * @param {any} beam The current beam being generated.\n     * @returns {Promise<any>} The updated beam after a single generation step.\n     * @private\n     */\n    async runBeam(beam) {\n        return await this._runBeam(this, beam);\n    }\n\n    /**\n     * Update a beam with a new token ID.\n     * @param {Object} beam The beam to update.\n     * @param {number} newTokenId The new token ID to add to the beam's output.\n     * @private\n     */\n    updateBeam(beam, newTokenId) {\n        return this._updateBeam(beam, newTokenId);\n    }\n}\n\n//////////////////////////////////////////////////\n// Base model output class\nexport class ModelOutput { }\n\n/**\n * Base class for model's outputs, with potential hidden states and attentions.\n */\nexport class BaseModelOutput extends ModelOutput {\n    /**\n     * @param {Object} output The output of the model.\n     * @param {Tensor} output.last_hidden_state Sequence of hidden-states at the output of the last layer of the model.\n     * @param {Tensor} [output.hidden_states] Hidden-states of the model at the output of each layer plus the optional initial embedding outputs.\n     * @param {Tensor} [output.attentions] Attentions weights after the attention softmax, used to compute the weighted average in the self-attention heads.\n     */\n    constructor({ last_hidden_state, hidden_states = null, attentions = null }) {\n        super();\n        this.last_hidden_state = last_hidden_state;\n        this.hidden_states = hidden_states;\n        this.attentions = attentions;\n    }\n}\n//////////////////////////////////////////////////\n// Bert models\nexport class BertPreTrainedModel extends PreTrainedModel { }\nexport class BertModel extends BertPreTrainedModel { }\n\n/**\n * BertForMaskedLM is a class representing a BERT model for masked language modeling.\n */\nexport class BertForMaskedLM extends BertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<MaskedLMOutput>} An object containing the model's output logits for masked language modeling.\n     */\n    async _call(model_inputs) {\n        return new MaskedLMOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * BertForSequenceClassification is a class representing a BERT model for sequence classification.\n */\nexport class BertForSequenceClassification extends BertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * BertForTokenClassification is a class representing a BERT model for token classification.\n */\nexport class BertForTokenClassification extends BertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n     */\n    async _call(model_inputs) {\n        return new TokenClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * BertForQuestionAnswering is a class representing a BERT model for question answering.\n */\nexport class BertForQuestionAnswering extends BertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<QuestionAnsweringModelOutput>} An object containing the model's output logits for question answering.\n     */\n    async _call(model_inputs) {\n        return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// NomicBert models\nexport class NomicBertPreTrainedModel extends PreTrainedModel { }\nexport class NomicBertModel extends NomicBertPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// RoFormer models\nexport class RoFormerPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare RoFormer Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class RoFormerModel extends RoFormerPreTrainedModel { }\n\n/**\n * RoFormer Model with a `language modeling` head on top.\n */\nexport class RoFormerForMaskedLM extends RoFormerPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<MaskedLMOutput>} An object containing the model's output logits for masked language modeling.\n     */\n    async _call(model_inputs) {\n        return new MaskedLMOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * RoFormer Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output)\n */\nexport class RoFormerForSequenceClassification extends RoFormerPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * RoFormer Model with a token classification head on top (a linear layer on top of the hidden-states output)\n * e.g. for Named-Entity-Recognition (NER) tasks.\n */\nexport class RoFormerForTokenClassification extends RoFormerPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n     */\n    async _call(model_inputs) {\n        return new TokenClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * RoFormer Model with a span classification head on top for extractive question-answering tasks like SQuAD\n * (a linear layers on top of the hidden-states output to compute `span start logits` and `span end logits`).\n */\nexport class RoFormerForQuestionAnswering extends RoFormerPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<QuestionAnsweringModelOutput>} An object containing the model's output logits for question answering.\n     */\n    async _call(model_inputs) {\n        return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n    }\n}\n// TODO: Add RoFormerForCausalLM and RoFormerForMultipleChoice\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// ConvBert models\nexport class ConvBertPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare ConvBERT Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class ConvBertModel extends ConvBertPreTrainedModel { }\n\n/**\n * ConvBERT Model with a language modeling head on top.\n */\nexport class ConvBertForMaskedLM extends ConvBertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<MaskedLMOutput>} An object containing the model's output logits for masked language modeling.\n     */\n    async _call(model_inputs) {\n        return new MaskedLMOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * ConvBERT Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output)\n */\nexport class ConvBertForSequenceClassification extends ConvBertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * ConvBERT Model with a token classification head on top (a linear layer on top of the hidden-states output)\n * e.g. for Named-Entity-Recognition (NER) tasks.\n */\nexport class ConvBertForTokenClassification extends ConvBertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n     */\n    async _call(model_inputs) {\n        return new TokenClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * ConvBERT Model with a span classification head on top for extractive question-answering tasks like SQuAD\n * (a linear layers on top of the hidden-states output to compute `span start logits` and `span end logits`)\n */\nexport class ConvBertForQuestionAnswering extends ConvBertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<QuestionAnsweringModelOutput>} An object containing the model's output logits for question answering.\n     */\n    async _call(model_inputs) {\n        return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Electra models\nexport class ElectraPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare Electra Model transformer outputting raw hidden-states without any specific head on top.\n * Identical to the BERT model except that it uses an additional linear layer between the embedding\n * layer and the encoder if the hidden size and embedding size are different.\n */\nexport class ElectraModel extends ElectraPreTrainedModel { }\n// TODO add ElectraForPreTraining\n/**\n * Electra model with a language modeling head on top.\n */\nexport class ElectraForMaskedLM extends ElectraPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<MaskedLMOutput>} An object containing the model's output logits for masked language modeling.\n     */\n    async _call(model_inputs) {\n        return new MaskedLMOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * ELECTRA Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output)\n */\nexport class ElectraForSequenceClassification extends ElectraPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * Electra model with a token classification head on top.\n */\nexport class ElectraForTokenClassification extends ElectraPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n     */\n    async _call(model_inputs) {\n        return new TokenClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * LECTRA Model with a span classification head on top for extractive question-answering tasks like SQuAD\n * (a linear layers on top of the hidden-states output to compute `span start logits` and `span end logits`).\n */\nexport class ElectraForQuestionAnswering extends ElectraPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<QuestionAnsweringModelOutput>} An object containing the model's output logits for question answering.\n     */\n    async _call(model_inputs) {\n        return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// CamemBERT models\nexport class CamembertPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare CamemBERT Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class CamembertModel extends CamembertPreTrainedModel { }\n\n/**\n * CamemBERT Model with a `language modeling` head on top.\n */\nexport class CamembertForMaskedLM extends CamembertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<MaskedLMOutput>} An object containing the model's output logits for masked language modeling.\n     */\n    async _call(model_inputs) {\n        return new MaskedLMOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * CamemBERT Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output) e.g. for GLUE tasks.\n */\nexport class CamembertForSequenceClassification extends CamembertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * CamemBERT Model with a token classification head on top (a linear layer on top of the hidden-states output) e.g. for Named-Entity-Recognition (NER) tasks.\n */\nexport class CamembertForTokenClassification extends CamembertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n     */\n    async _call(model_inputs) {\n        return new TokenClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * CamemBERT Model with a span classification head on top for extractive question-answering tasks\n */\nexport class CamembertForQuestionAnswering extends CamembertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<QuestionAnsweringModelOutput>} An object containing the model's output logits for question answering.\n     */\n    async _call(model_inputs) {\n        return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// DeBERTa models\nexport class DebertaPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare DeBERTa Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class DebertaModel extends DebertaPreTrainedModel { }\n\n/**\n * DeBERTa Model with a `language modeling` head on top.\n */\nexport class DebertaForMaskedLM extends DebertaPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<MaskedLMOutput>} An object containing the model's output logits for masked language modeling.\n     */\n    async _call(model_inputs) {\n        return new MaskedLMOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * DeBERTa Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output)\n */\nexport class DebertaForSequenceClassification extends DebertaPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * DeBERTa Model with a token classification head on top (a linear layer on top of the hidden-states output) e.g. for Named-Entity-Recognition (NER) tasks.\n */\nexport class DebertaForTokenClassification extends DebertaPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n     */\n    async _call(model_inputs) {\n        return new TokenClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * DeBERTa Model with a span classification head on top for extractive question-answering tasks like SQuAD (a linear\n * layers on top of the hidden-states output to compute `span start logits` and `span end logits`).\n */\nexport class DebertaForQuestionAnswering extends DebertaPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<QuestionAnsweringModelOutput>} An object containing the model's output logits for question answering.\n     */\n    async _call(model_inputs) {\n        return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// DeBERTa-v2 models\nexport class DebertaV2PreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare DeBERTa-V2 Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class DebertaV2Model extends DebertaV2PreTrainedModel { }\n\n/**\n * DeBERTa-V2 Model with a `language modeling` head on top.\n */\nexport class DebertaV2ForMaskedLM extends DebertaV2PreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<MaskedLMOutput>} An object containing the model's output logits for masked language modeling.\n     */\n    async _call(model_inputs) {\n        return new MaskedLMOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * DeBERTa-V2 Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output)\n */\nexport class DebertaV2ForSequenceClassification extends DebertaV2PreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * DeBERTa-V2 Model with a token classification head on top (a linear layer on top of the hidden-states output) e.g. for Named-Entity-Recognition (NER) tasks.\n */\nexport class DebertaV2ForTokenClassification extends DebertaV2PreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n     */\n    async _call(model_inputs) {\n        return new TokenClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * DeBERTa-V2 Model with a span classification head on top for extractive question-answering tasks like SQuAD (a linear\n * layers on top of the hidden-states output to compute `span start logits` and `span end logits`).\n */\nexport class DebertaV2ForQuestionAnswering extends DebertaV2PreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<QuestionAnsweringModelOutput>} An object containing the model's output logits for question answering.\n     */\n    async _call(model_inputs) {\n        return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// DistilBert models\nexport class DistilBertPreTrainedModel extends PreTrainedModel { }\nexport class DistilBertModel extends DistilBertPreTrainedModel { }\n\n/**\n * DistilBertForSequenceClassification is a class representing a DistilBERT model for sequence classification.\n */\nexport class DistilBertForSequenceClassification extends DistilBertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * DistilBertForTokenClassification is a class representing a DistilBERT model for token classification.\n */\nexport class DistilBertForTokenClassification extends DistilBertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n     */\n    async _call(model_inputs) {\n        return new TokenClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n\n/**\n * DistilBertForQuestionAnswering is a class representing a DistilBERT model for question answering.\n */\nexport class DistilBertForQuestionAnswering extends DistilBertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<QuestionAnsweringModelOutput>} An object containing the model's output logits for question answering.\n     */\n    async _call(model_inputs) {\n        return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * DistilBertForMaskedLM is a class representing a DistilBERT model for masking task.\n */\nexport class DistilBertForMaskedLM extends DistilBertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<MaskedLMOutput>} returned object\n     */\n    async _call(model_inputs) {\n        return new MaskedLMOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// ESM models\nexport class EsmPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare ESM Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class EsmModel extends EsmPreTrainedModel { }\n\n/**\n * ESM Model with a `language modeling` head on top.\n */\nexport class EsmForMaskedLM extends EsmPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<MaskedLMOutput>} An object containing the model's output logits for masked language modeling.\n     */\n    async _call(model_inputs) {\n        return new MaskedLMOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * ESM Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output)\n */\nexport class EsmForSequenceClassification extends EsmPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * ESM Model with a token classification head on top (a linear layer on top of the hidden-states output)\n * e.g. for Named-Entity-Recognition (NER) tasks.\n */\nexport class EsmForTokenClassification extends EsmPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n     */\n    async _call(model_inputs) {\n        return new TokenClassifierOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// MobileBert models\nexport class MobileBertPreTrainedModel extends PreTrainedModel { }\nexport class MobileBertModel extends MobileBertPreTrainedModel { }\n\n/**\n * MobileBertForMaskedLM is a class representing a MobileBERT model for masking task.\n */\nexport class MobileBertForMaskedLM extends MobileBertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<MaskedLMOutput>} returned object\n     */\n    async _call(model_inputs) {\n        return new MaskedLMOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * MobileBert Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output)\n */\nexport class MobileBertForSequenceClassification extends MobileBertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} returned object\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * MobileBert Model with a span classification head on top for extractive question-answering tasks\n */\nexport class MobileBertForQuestionAnswering extends MobileBertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<QuestionAnsweringModelOutput>} returned object\n     */\n    async _call(model_inputs) {\n        return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// MPNet models\nexport class MPNetPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare MPNet Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class MPNetModel extends MPNetPreTrainedModel { }\n\n/**\n * MPNetForMaskedLM is a class representing a MPNet model for masked language modeling.\n */\nexport class MPNetForMaskedLM extends MPNetPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<MaskedLMOutput>} An object containing the model's output logits for masked language modeling.\n     */\n    async _call(model_inputs) {\n        return new MaskedLMOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * MPNetForSequenceClassification is a class representing a MPNet model for sequence classification.\n */\nexport class MPNetForSequenceClassification extends MPNetPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * MPNetForTokenClassification is a class representing a MPNet model for token classification.\n */\nexport class MPNetForTokenClassification extends MPNetPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n     */\n    async _call(model_inputs) {\n        return new TokenClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * MPNetForQuestionAnswering is a class representing a MPNet model for question answering.\n */\nexport class MPNetForQuestionAnswering extends MPNetPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<QuestionAnsweringModelOutput>} An object containing the model's output logits for question answering.\n     */\n    async _call(model_inputs) {\n        return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// SqueezeBert models\nexport class SqueezeBertPreTrainedModel extends PreTrainedModel { }\nexport class SqueezeBertModel extends SqueezeBertPreTrainedModel { }\nexport class SqueezeBertForMaskedLM extends SqueezeBertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<MaskedLMOutput>} returned object\n     */\n    async _call(model_inputs) {\n        return new MaskedLMOutput(await super._call(model_inputs));\n    }\n}\nexport class SqueezeBertForSequenceClassification extends SqueezeBertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} returned object\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\nexport class SqueezeBertForQuestionAnswering extends SqueezeBertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<QuestionAnsweringModelOutput>} returned object\n     */\n    async _call(model_inputs) {\n        return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Albert models\nexport class AlbertPreTrainedModel extends PreTrainedModel { }\nexport class AlbertModel extends AlbertPreTrainedModel { }\nexport class AlbertForSequenceClassification extends AlbertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} returned object\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\nexport class AlbertForQuestionAnswering extends AlbertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<QuestionAnsweringModelOutput>} returned object\n     */\n    async _call(model_inputs) {\n        return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n    }\n}\nexport class AlbertForMaskedLM extends AlbertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<MaskedLMOutput>} returned object\n     */\n    async _call(model_inputs) {\n        return new MaskedLMOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// T5 models\nexport class T5PreTrainedModel extends PreTrainedModel { };\n\nexport class T5Model extends T5PreTrainedModel { }\n\n/**\n * T5Model is a class representing a T5 model for conditional generation.\n */\nexport class T5ForConditionalGeneration extends T5PreTrainedModel {\n\n    /**\n     * Creates a new instance of the `T5ForConditionalGeneration` class.\n     * @param {Object} config The model configuration.\n     * @param {any} session session for the model.\n     * @param {any} decoder_merged_session session for the decoder.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, decoder_merged_session, generation_config) {\n        super(config, session);\n        this.decoder_merged_session = decoder_merged_session;\n        this.generation_config = generation_config;\n\n        this.num_decoder_layers = this.config.num_decoder_layers;\n        this.num_decoder_heads = this.config.num_heads;\n        this.decoder_dim_kv = this.config.d_kv;\n\n        this.num_encoder_layers = this.config.num_layers;\n        this.num_encoder_heads = this.config.num_heads;\n        this.encoder_dim_kv = this.config.d_kv;\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// LONGT5 models\n/**\n * An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained models.\n */\nexport class LongT5PreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare LONGT5 Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class LongT5Model extends LongT5PreTrainedModel { }\n\n/**\n * LONGT5 Model with a `language modeling` head on top.\n */\nexport class LongT5ForConditionalGeneration extends LongT5PreTrainedModel {\n    /**\n     * Creates a new instance of the `LongT5ForConditionalGeneration` class.\n     * @param {Object} config The model configuration.\n     * @param {any} session session for the model.\n     * @param {any} decoder_merged_session session for the decoder.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, decoder_merged_session, generation_config) {\n        super(config, session);\n        this.decoder_merged_session = decoder_merged_session;\n        this.generation_config = generation_config;\n\n        this.num_decoder_layers = this.config.num_decoder_layers;\n        this.num_decoder_heads = this.config.num_heads;\n        this.decoder_dim_kv = this.config.d_kv;\n\n        this.num_encoder_layers = this.config.num_layers;\n        this.num_encoder_heads = this.config.num_heads;\n        this.encoder_dim_kv = this.config.d_kv;\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// MT5 models\nexport class MT5PreTrainedModel extends PreTrainedModel { };\n\nexport class MT5Model extends MT5PreTrainedModel { }\n\n/**\n * A class representing a conditional sequence-to-sequence model based on the MT5 architecture.\n */\nexport class MT5ForConditionalGeneration extends MT5PreTrainedModel {\n\n    /**\n     * Creates a new instance of the `MT5ForConditionalGeneration` class.\n     * @param {any} config The model configuration.\n     * @param {any} session The ONNX session containing the encoder weights.\n     * @param {any} decoder_merged_session The ONNX session containing the merged decoder weights.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, decoder_merged_session, generation_config) {\n        super(config, session);\n        this.decoder_merged_session = decoder_merged_session;\n        this.generation_config = generation_config;\n\n        this.num_decoder_layers = this.config.num_decoder_layers;\n        this.num_decoder_heads = this.config.num_heads;\n        this.decoder_dim_kv = this.config.d_kv;\n\n        this.num_encoder_layers = this.config.num_layers;\n        this.num_encoder_heads = this.config.num_heads;\n        this.encoder_dim_kv = this.config.d_kv;\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Bart models\nexport class BartPretrainedModel extends PreTrainedModel { };\n\n/**\n * The bare BART Model outputting raw hidden-states without any specific head on top.\n */\nexport class BartModel extends BartPretrainedModel { }\n\n/**\n * The BART Model with a language modeling head. Can be used for summarization.\n */\nexport class BartForConditionalGeneration extends BartPretrainedModel {\n\n    /**\n     * Creates a new instance of the `BartForConditionalGeneration` class.\n     * @param {Object} config The configuration object for the Bart model.\n     * @param {Object} session The ONNX session used to execute the model.\n     * @param {Object} decoder_merged_session The ONNX session used to execute the decoder.\n     * @param {Object} generation_config The generation configuration object.\n     */\n    constructor(config, session, decoder_merged_session, generation_config) {\n        super(config, session);\n        this.decoder_merged_session = decoder_merged_session;\n        this.generation_config = generation_config;\n\n        this.num_decoder_layers = this.config.decoder_layers;\n        this.num_decoder_heads = this.config.decoder_attention_heads;\n        this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads;\n\n        this.num_encoder_layers = this.config.encoder_layers;\n        this.num_encoder_heads = this.config.encoder_attention_heads;\n        this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads;\n    }\n\n}\n\n/**\n * Bart model with a sequence classification/head on top (a linear layer on top of the pooled output)\n */\nexport class BartForSequenceClassification extends BartPretrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// MBart models\nexport class MBartPreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare MBART Model outputting raw hidden-states without any specific head on top.\n */\nexport class MBartModel extends MBartPreTrainedModel { }\n\n/**\n * The MBART Model with a language modeling head. Can be used for summarization, after fine-tuning the pretrained models.\n */\nexport class MBartForConditionalGeneration extends MBartPreTrainedModel {\n\n    /**\n     * Creates a new instance of the `MBartForConditionalGeneration` class.\n     * @param {Object} config The configuration object for the Bart model.\n     * @param {Object} session The ONNX session used to execute the model.\n     * @param {Object} decoder_merged_session The ONNX session used to execute the decoder.\n     * @param {Object} generation_config The generation configuration object.\n     */\n    constructor(config, session, decoder_merged_session, generation_config) {\n        super(config, session);\n        this.decoder_merged_session = decoder_merged_session;\n        this.generation_config = generation_config;\n\n        this.num_decoder_layers = this.config.decoder_layers;\n        this.num_decoder_heads = this.config.decoder_attention_heads;\n        this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads;\n\n        this.num_encoder_layers = this.config.encoder_layers;\n        this.num_encoder_heads = this.config.encoder_attention_heads;\n        this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads;\n    }\n\n}\n\n/**\n * MBart model with a sequence classification/head on top (a linear layer on top of the pooled output).\n */\nexport class MBartForSequenceClassification extends MBartPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n\nexport class MBartForCausalLM extends MBartPreTrainedModel {\n    /**\n     * Creates a new instance of the `MBartForCausalLM` class.\n     * @param {Object} config Configuration object for the model.\n     * @param {Object} decoder_merged_session ONNX Session object for the decoder.\n     * @param {Object} generation_config Configuration object for the generation process.\n     */\n    constructor(config, decoder_merged_session, generation_config) {\n        super(config, decoder_merged_session);\n        this.generation_config = generation_config;\n\n        this.num_decoder_layers = this.config.decoder_layers;\n        this.num_decoder_heads = this.config.decoder_attention_heads;\n        this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads;\n\n        this.num_encoder_layers = this.config.encoder_layers;\n        this.num_encoder_heads = this.config.encoder_attention_heads;\n        this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads;\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Blenderbot models\nexport class BlenderbotPreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare Blenderbot Model outputting raw hidden-states without any specific head on top.\n */\nexport class BlenderbotModel extends BlenderbotPreTrainedModel { }\n\n/**\n * The Blenderbot Model with a language modeling head. Can be used for summarization.\n */\nexport class BlenderbotForConditionalGeneration extends BlenderbotPreTrainedModel {\n\n    /**\n     * Creates a new instance of the `BlenderbotForConditionalGeneration` class.\n     * @param {any} config The model configuration.\n     * @param {any} session The ONNX session containing the encoder weights.\n     * @param {any} decoder_merged_session The ONNX session containing the merged decoder weights.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, decoder_merged_session, generation_config) {\n        super(config, session);\n        this.decoder_merged_session = decoder_merged_session;\n        this.generation_config = generation_config;\n\n        this.num_decoder_layers = this.config.decoder_layers;\n        this.num_decoder_heads = this.config.decoder_attention_heads;\n        this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads;\n\n        this.num_encoder_layers = this.config.encoder_layers;\n        this.num_encoder_heads = this.config.encoder_attention_heads;\n        this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads;\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Blenderbot models\nexport class BlenderbotSmallPreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare BlenderbotSmall Model outputting raw hidden-states without any specific head on top.\n */\nexport class BlenderbotSmallModel extends BlenderbotSmallPreTrainedModel { }\n\n/**\n * The BlenderbotSmall Model with a language modeling head. Can be used for summarization.\n */\nexport class BlenderbotSmallForConditionalGeneration extends BlenderbotSmallPreTrainedModel {\n\n    /**\n     * Creates a new instance of the `BlenderbotForConditionalGeneration` class.\n     * @param {any} config The model configuration.\n     * @param {any} session The ONNX session containing the encoder weights.\n     * @param {any} decoder_merged_session The ONNX session containing the merged decoder weights.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, decoder_merged_session, generation_config) {\n        super(config, session);\n        this.decoder_merged_session = decoder_merged_session;\n        this.generation_config = generation_config;\n\n        this.num_decoder_layers = this.config.decoder_layers;\n        this.num_decoder_heads = this.config.decoder_attention_heads;\n        this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads;\n\n        this.num_encoder_layers = this.config.encoder_layers;\n        this.num_encoder_heads = this.config.encoder_attention_heads;\n        this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads;\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Roberta models\nexport class RobertaPreTrainedModel extends PreTrainedModel { }\nexport class RobertaModel extends RobertaPreTrainedModel { }\n\n/**\n * RobertaForMaskedLM class for performing masked language modeling on Roberta models.\n */\nexport class RobertaForMaskedLM extends RobertaPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<MaskedLMOutput>} returned object\n     */\n    async _call(model_inputs) {\n        return new MaskedLMOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * RobertaForSequenceClassification class for performing sequence classification on Roberta models.\n */\nexport class RobertaForSequenceClassification extends RobertaPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} returned object\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * RobertaForTokenClassification class for performing token classification on Roberta models.\n */\nexport class RobertaForTokenClassification extends RobertaPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n     */\n    async _call(model_inputs) {\n        return new TokenClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * RobertaForQuestionAnswering class for performing question answering on Roberta models.\n */\nexport class RobertaForQuestionAnswering extends RobertaPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<QuestionAnsweringModelOutput>} returned object\n     */\n    async _call(model_inputs) {\n        return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// XLM models\n/**\n * An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained models.\n */\nexport class XLMPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare XLM Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class XLMModel extends XLMPreTrainedModel { }\n\n/**\n * The XLM Model transformer with a language modeling head on top (linear layer with weights tied to the input embeddings).\n */\nexport class XLMWithLMHeadModel extends XLMPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<MaskedLMOutput>} returned object\n     */\n    async _call(model_inputs) {\n        return new MaskedLMOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * XLM Model with a sequence classification/regression head on top (a linear layer on top of the pooled output)\n */\nexport class XLMForSequenceClassification extends XLMPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} returned object\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * XLM Model with a token classification head on top (a linear layer on top of the hidden-states output)\n */\nexport class XLMForTokenClassification extends XLMPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n     */\n    async _call(model_inputs) {\n        return new TokenClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * XLM Model with a span classification head on top for extractive question-answering tasks\n */\nexport class XLMForQuestionAnswering extends XLMPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<QuestionAnsweringModelOutput>} returned object\n     */\n    async _call(model_inputs) {\n        return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// XLMRoberta models\nexport class XLMRobertaPreTrainedModel extends PreTrainedModel { }\nexport class XLMRobertaModel extends XLMRobertaPreTrainedModel { }\n\n/**\n * XLMRobertaForMaskedLM class for performing masked language modeling on XLMRoberta models.\n */\nexport class XLMRobertaForMaskedLM extends XLMRobertaPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<MaskedLMOutput>} returned object\n     */\n    async _call(model_inputs) {\n        return new MaskedLMOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * XLMRobertaForSequenceClassification class for performing sequence classification on XLMRoberta models.\n */\nexport class XLMRobertaForSequenceClassification extends XLMRobertaPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} returned object\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * XLMRobertaForTokenClassification class for performing token classification on XLMRoberta models.\n */\nexport class XLMRobertaForTokenClassification extends XLMRobertaPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n     */\n    async _call(model_inputs) {\n        return new TokenClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * XLMRobertaForQuestionAnswering class for performing question answering on XLMRoberta models.\n */\nexport class XLMRobertaForQuestionAnswering extends XLMRobertaPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     *\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<QuestionAnsweringModelOutput>} returned object\n     */\n    async _call(model_inputs) {\n        return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Audio Spectrogram Transformer (AST) models\nexport class ASTPreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare AST Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class ASTModel extends ASTPreTrainedModel { }\n\n/**\n * Audio Spectrogram Transformer model with an audio classification head on top\n * (a linear layer on top of the pooled output) e.g. for datasets like AudioSet, Speech Commands v2.\n */\nexport class ASTForAudioClassification extends ASTPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Whisper models\nexport class WhisperPreTrainedModel extends PreTrainedModel { };\n\n/**\n * WhisperModel class for training Whisper models without a language model head.\n */\nexport class WhisperModel extends WhisperPreTrainedModel { }\n\n/**\n * WhisperForConditionalGeneration class for generating conditional outputs from Whisper models.\n */\nexport class WhisperForConditionalGeneration extends WhisperPreTrainedModel {\n\n    requires_attention_mask = false;\n    main_input_name = 'input_features';\n\n    /**\n     * Creates a new instance of the `WhisperForConditionalGeneration` class.\n     * @param {Object} config Configuration object for the model.\n     * @param {Object} session ONNX Session object for the model.\n     * @param {Object} decoder_merged_session ONNX Session object for the decoder.\n     * @param {Object} generation_config Configuration object for the generation process.\n     */\n    constructor(config, session, decoder_merged_session, generation_config) {\n        super(config, session);\n        this.decoder_merged_session = decoder_merged_session;\n        this.generation_config = generation_config;\n\n        this.num_decoder_layers = this.config.decoder_layers;\n        this.num_decoder_heads = this.config.decoder_attention_heads;\n        this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads;\n\n        this.num_encoder_layers = this.config.encoder_layers;\n        this.num_encoder_heads = this.config.encoder_attention_heads;\n        this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads;\n    }\n\n    /**\n     * @typedef {Object} WhisperGenerationConfig\n     * @extends GenerationConfig\n     * @property {boolean} [return_timestamps=null] Whether to return the timestamps with the text. This enables the `WhisperTimestampsLogitsProcessor`.\n     * @property {boolean} [return_token_timestamps=null] Whether to return token-level timestamps\n     * with the text. This can be used with or without the `return_timestamps` option. To get word-level\n     * timestamps, use the tokenizer to group the tokens into words.\n     * @property {number} [num_frames=null]  The number of audio frames available in this chunk. This is only used generating word-level timestamps.\n     */\n\n    /**\n     * Generates outputs based on input and generation configuration.\n     * @param {Object} inputs Input data for the model.\n     * @param {WhisperGenerationConfig} generation_config Configuration object for the generation process.\n     * @param {Object} logits_processor Optional logits processor object.\n     * @returns {Promise<Object>} Promise object represents the generated outputs.\n     */\n    async generate(\n        inputs,\n        generation_config = null,\n        logits_processor = null,\n        // {\n        //     return_timestamps = null,\n        //     return_token_timestamps = null,\n        //     language = null,\n        //     task = null,\n        // } = {},\n    ) {\n        // Create generation config object\n        generation_config = this._get_generation_config(generation_config);\n\n\n        // Whisper has additional options for returning timestamps\n        generation_config.return_timestamps ??= false;\n\n        // TODO add language and task\n\n        if (generation_config.return_timestamps) {\n            logits_processor = [new WhisperTimeStampLogitsProcessor(generation_config)]\n        }\n\n        if (generation_config.return_token_timestamps) {\n            generation_config.output_attentions = true;\n            generation_config.return_dict_in_generate = true;\n\n            if (generation_config.task === 'translate') {\n                console.warn(\"Token-level timestamps may not be reliable for task 'translate'.\")\n            }\n\n            if (!generation_config.alignment_heads) {\n                throw new Error(\n                    \"Model generation config has no `alignment_heads`, token-level timestamps not available. \" +\n                    \"See https://gist.github.com/hollance/42e32852f24243b748ae6bc1f985b13a on how to add this property to the generation config.\"\n                )\n            }\n        }\n\n        const outputs = await super.generate(inputs, generation_config, logits_processor);\n\n        if (generation_config.return_token_timestamps && generation_config.alignment_heads) {\n            outputs[\"token_timestamps\"] = this._extract_token_timestamps(\n                outputs,\n                generation_config.alignment_heads,\n                generation_config.num_frames,\n            )\n        }\n\n        return outputs\n    }\n\n    /**\n     * Calculates token-level timestamps using the encoder-decoder cross-attentions and\n     * dynamic time-warping (DTW) to map each output token to a position in the input audio.\n     * @param {Object} generate_outputs Outputs generated by the model\n     * @param {Tensor[][][]} generate_outputs.cross_attentions The cross attentions output by the model\n     * @param {Tensor[][][]} generate_outputs.decoder_attentions The decoder attentions output by the model\n     * @param {number[][]} generate_outputs.sequences The sequences output by the model\n     * @param {number[][]} alignment_heads Alignment heads of the model\n     * @param {number} [num_frames=null] Number of frames in the input audio.\n     * @param {number} [time_precision=0.02] Precision of the timestamps in seconds\n     * @returns {Tensor} tensor containing the timestamps in seconds for each predicted token\n     */\n    _extract_token_timestamps(generate_outputs, alignment_heads, num_frames = null, time_precision = 0.02) {\n        if (!generate_outputs.cross_attentions) {\n            throw new Error(\n                \"Model outputs must contain cross attentions to extract timestamps. \" +\n                \"This is most likely because the model was not exported with `output_attentions=True`.\"\n            )\n        }\n\n        let median_filter_width = this.config.median_filter_width;\n        if (median_filter_width === undefined) {\n            console.warn(\"Model config has no `median_filter_width`, using default value of 7.\")\n            median_filter_width = 7;\n        }\n\n        const batchedMatrices = generate_outputs.cross_attentions.map(batch => {\n            // Create a list with `decoder_layers` elements, each a tensor of shape\n            // (batch size, attention_heads, output length, input length).\n            let cross_attentions = Array.from({ length: this.config.decoder_layers },\n                (_, i) => cat(batch.map(x => x[i]), 2)\n            );\n\n            let weights = stack(alignment_heads.map(([l, h]) => {\n                return num_frames\n                    ? cross_attentions[l].slice(null, h, null, [0, num_frames])\n                    : cross_attentions[l].slice(null, h);\n            }));\n            weights = weights.transpose(1, 0, 2, 3)\n\n            let [std, calculatedMean] = std_mean(weights, -2, 0, true);\n\n            // Normalize and smoothen the weights.\n            let smoothedWeights = weights.clone(); // [1, 8, seqLength, 1500]\n\n            for (let a = 0; a < smoothedWeights.dims[0]; ++a) {\n                let aTensor = smoothedWeights[a]; // [8, seqLength, 1500]\n\n                for (let b = 0; b < aTensor.dims[0]; ++b) {\n                    let bTensor = aTensor[b]; // [seqLength, 1500]\n\n                    const stdTensor = std[a][b][0]; // [1500]\n                    const meanTensor = calculatedMean[a][b][0]; // [1500]\n\n                    for (let c = 0; c < bTensor.dims[0]; ++c) {\n\n                        let cTensor = bTensor[c]; // [1500]\n                        for (let d = 0; d < cTensor.data.length; ++d) {\n                            cTensor.data[d] = (cTensor.data[d] - meanTensor.data[d]) / stdTensor.data[d]\n                        }\n\n                        // Apply median filter.\n                        cTensor.data.set(medianFilter(cTensor.data, median_filter_width))\n                    }\n                }\n            }\n\n            // Average the different cross-attention heads.\n            const matrix = mean(smoothedWeights, 1);\n            return matrix;\n        });\n\n        const timestampsShape = [generate_outputs.sequences.length, generate_outputs.sequences[0].length];\n\n        const timestamps = new Tensor(\n            'float32',\n            new Float32Array(timestampsShape[0] * timestampsShape[1]),\n            timestampsShape\n        );\n\n        // Perform dynamic time warping on each element of the batch.\n        for (let batch_idx = 0; batch_idx < timestampsShape[0]; ++batch_idx) {\n            // NOTE: Since we run only one batch at a time, we can squeeze to get the same dimensions\n            // as the python implementation\n            const matrix = batchedMatrices[batch_idx].neg().squeeze_(0);\n            let [text_indices, time_indices] = dynamicTimeWarping(matrix);\n\n            let diffs = Array.from({ length: text_indices.length - 1 }, (v, i) => text_indices[i + 1] - text_indices[i]);\n            let jumps = mergeArrays([1], diffs).map(x => !!x); // convert to boolean\n\n            let jump_times = [];\n            for (let i = 0; i < jumps.length; ++i) {\n                if (jumps[i]) {\n                    jump_times.push(time_indices[i] * time_precision);\n                    // NOTE: No point in rounding here, since we set to Float32Array later\n                }\n            }\n            timestamps[batch_idx].data.set(jump_times, 1)\n        }\n\n        return timestamps;\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n/**\n * Vision Encoder-Decoder model based on OpenAI's GPT architecture for image captioning and other vision tasks\n */\nexport class VisionEncoderDecoderModel extends PreTrainedModel {\n    main_input_name = 'pixel_values';\n\n    /**\n     * Creates a new instance of the `VisionEncoderDecoderModel` class.\n     * @param {Object} config The configuration object specifying the hyperparameters and other model settings.\n     * @param {Object} session The ONNX session containing the encoder model.\n     * @param {any} decoder_merged_session The ONNX session containing the merged decoder model.\n     * @param {Object} generation_config Configuration object for the generation process.\n     */\n    constructor(config, session, decoder_merged_session, generation_config) {\n        super(config, session);\n        this.decoder_merged_session = decoder_merged_session;\n        this.generation_config = generation_config;\n\n        // Extract configs\n        const encoderConfig = this.config.encoder;\n        const decoderConfig = this.config.decoder;\n\n        // Validate encoder\n        const encoderModelType = encoderConfig.model_type;\n        const encoderModel =\n            MODEL_MAPPING_NAMES_ENCODER_ONLY.get(encoderModelType)\n            ?? MODEL_MAPPING_NAMES_ENCODER_DECODER.get(encoderModelType);\n        if (!encoderModel) {\n            console.warn(`Model type for encoder '${encoderModelType}' not found, assuming encoder-only architecture. Please report this at https://github.com/xenova/transformers.js/issues/new/choose.`);\n        }\n\n        // Validate decoder\n        const decoderModel = MODEL_WITH_LM_HEAD_MAPPING_NAMES.get(decoderConfig.model_type);\n        if (!decoderModel) {\n            throw new Error(`Unable to construct \\`VisionEncoderDecoder\\` due to unsupported decoder: \"${this.config.decoder.model_type}\"`);\n        }\n\n        // @ts-ignore\n        const decoderModelClass = decoderModel[1];\n        // @ts-ignore\n        const decoder = new decoderModelClass(decoderConfig, decoder_merged_session, generation_config);\n\n        this.add_encoder_pkv = 'num_decoder_layers' in decoder;\n        if (this.add_encoder_pkv) {\n            // Decoder is part of an encoder-decoder model\n            this.num_decoder_layers = decoder.num_decoder_layers;\n            this.num_decoder_heads = decoder.num_decoder_heads;\n            this.decoder_dim_kv = decoder.decoder_dim_kv;\n\n            this.num_encoder_layers = decoder.num_encoder_layers;\n            this.num_encoder_heads = decoder.num_encoder_heads;\n            this.encoder_dim_kv = decoder.encoder_dim_kv;\n\n        } else {\n            // Decoder is a decoder-only model\n            this.num_layers = decoder.num_layers;\n            this.num_heads = decoder.num_heads;\n            this.dim_kv = decoder.dim_kv;\n        }\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// CLIP models\nexport class CLIPPreTrainedModel extends PreTrainedModel { }\n\n/**\n * CLIP Text and Vision Model with a projection layers on top\n * \n * **Example:** Perform zero-shot image classification with a `CLIPModel`.\n * \n * ```javascript\n * import { AutoTokenizer, AutoProcessor, CLIPModel, RawImage } from '@xenova/transformers';\n * \n * // Load tokenizer, processor, and model\n * let tokenizer = await AutoTokenizer.from_pretrained('Xenova/clip-vit-base-patch16');\n * let processor = await AutoProcessor.from_pretrained('Xenova/clip-vit-base-patch16');\n * let model = await CLIPModel.from_pretrained('Xenova/clip-vit-base-patch16');\n * \n * // Run tokenization\n * let texts = ['a photo of a car', 'a photo of a football match']\n * let text_inputs = tokenizer(texts, { padding: true, truncation: true });\n * \n * // Read image and run processor\n * let image = await RawImage.read('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/football-match.jpg');\n * let image_inputs = await processor(image);\n * \n * // Run model with both text and pixel inputs\n * let output = await model({ ...text_inputs, ...image_inputs });\n * // {\n * //   logits_per_image: Tensor {\n * //     dims: [ 1, 2 ],\n * //     data: Float32Array(2) [ 18.579734802246094, 24.31830596923828 ],\n * //   },\n * //   logits_per_text: Tensor {\n * //     dims: [ 2, 1 ],\n * //     data: Float32Array(2) [ 18.579734802246094, 24.31830596923828 ],\n * //   },\n * //   text_embeds: Tensor {\n * //     dims: [ 2, 512 ],\n * //     data: Float32Array(1024) [ ... ],\n * //   },\n * //   image_embeds: Tensor {\n * //     dims: [ 1, 512 ],\n * //     data: Float32Array(512) [ ... ],\n * //   }\n * // }\n * ```\n */\nexport class CLIPModel extends CLIPPreTrainedModel { }\n\n/**\n * CLIP Text Model with a projection layer on top (a linear layer on top of the pooled output)\n * \n * **Example:** Compute text embeddings with `CLIPTextModelWithProjection`.\n * \n * ```javascript\n * import { AutoTokenizer, CLIPTextModelWithProjection } from '@xenova/transformers';\n * \n * // Load tokenizer and text model\n * const tokenizer = await AutoTokenizer.from_pretrained('Xenova/clip-vit-base-patch16');\n * const text_model = await CLIPTextModelWithProjection.from_pretrained('Xenova/clip-vit-base-patch16');\n * \n * // Run tokenization\n * let texts = ['a photo of a car', 'a photo of a football match'];\n * let text_inputs = tokenizer(texts, { padding: true, truncation: true });\n * \n * // Compute embeddings\n * const { text_embeds } = await text_model(text_inputs);\n * // Tensor {\n * //   dims: [ 2, 512 ],\n * //   type: 'float32',\n * //   data: Float32Array(1024) [ ... ],\n * //   size: 1024\n * // }\n * ```\n */\nexport class CLIPTextModelWithProjection extends CLIPPreTrainedModel {\n\n    /** @type {PreTrainedModel.from_pretrained} */\n    static async from_pretrained(pretrained_model_name_or_path, options = {}) {\n        // Update default model file name if not provided\n        options.model_file_name ??= 'text_model';\n        return super.from_pretrained(pretrained_model_name_or_path, options);\n    }\n}\n\n/**\n * CLIP Vision Model with a projection layer on top (a linear layer on top of the pooled output)\n * \n * **Example:** Compute vision embeddings with `CLIPVisionModelWithProjection`.\n * \n * ```javascript\n * import { AutoProcessor, CLIPVisionModelWithProjection, RawImage} from '@xenova/transformers';\n * \n * // Load processor and vision model\n * const processor = await AutoProcessor.from_pretrained('Xenova/clip-vit-base-patch16');\n * const vision_model = await CLIPVisionModelWithProjection.from_pretrained('Xenova/clip-vit-base-patch16');\n * \n * // Read image and run processor\n * let image = await RawImage.read('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/football-match.jpg');\n * let image_inputs = await processor(image);\n * \n * // Compute embeddings\n * const { image_embeds } = await vision_model(image_inputs);\n * // Tensor {\n * //   dims: [ 1, 512 ],\n * //   type: 'float32',\n * //   data: Float32Array(512) [ ... ],\n * //   size: 512\n * // }\n * ```\n */\nexport class CLIPVisionModelWithProjection extends CLIPPreTrainedModel {\n    /** @type {PreTrainedModel.from_pretrained} */\n    static async from_pretrained(pretrained_model_name_or_path, options = {}) {\n        // Update default model file name if not provided\n        options.model_file_name ??= 'vision_model';\n        return super.from_pretrained(pretrained_model_name_or_path, options);\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// SigLIP models\nexport class SiglipPreTrainedModel extends PreTrainedModel { }\n\n/**\n * SigLIP Text and Vision Model with a projection layers on top\n * \n * **Example:** Perform zero-shot image classification with a `SiglipModel`.\n * \n * ```javascript\n * import { AutoTokenizer, AutoProcessor, SiglipModel, RawImage } from '@xenova/transformers';\n * \n * // Load tokenizer, processor, and model\n * const tokenizer = await AutoTokenizer.from_pretrained('Xenova/siglip-base-patch16-224');\n * const processor = await AutoProcessor.from_pretrained('Xenova/siglip-base-patch16-224');\n * const model = await SiglipModel.from_pretrained('Xenova/siglip-base-patch16-224');\n * \n * // Run tokenization\n * const texts = ['a photo of 2 cats', 'a photo of 2 dogs'];\n * const text_inputs = tokenizer(texts, { padding: 'max_length', truncation: true });\n * \n * // Read image and run processor\n * const image = await RawImage.read('http://images.cocodataset.org/val2017/000000039769.jpg');\n * const image_inputs = await processor(image);\n * \n * // Run model with both text and pixel inputs\n * const output = await model({ ...text_inputs, ...image_inputs });\n * // {\n * //   logits_per_image: Tensor {\n * //     dims: [ 1, 2 ],\n * //     data: Float32Array(2) [ -1.6019744873046875, -10.720091819763184 ],\n * //   },\n * //   logits_per_text: Tensor {\n * //     dims: [ 2, 1 ],\n * //     data: Float32Array(2) [ -1.6019744873046875, -10.720091819763184 ],\n * //   },\n * //   text_embeds: Tensor {\n * //     dims: [ 2, 768 ],\n * //     data: Float32Array(1536) [ ... ],\n * //   },\n * //   image_embeds: Tensor {\n * //     dims: [ 1, 768 ],\n * //     data: Float32Array(768) [ ... ],\n * //   }\n * // }\n * ```\n */\nexport class SiglipModel extends SiglipPreTrainedModel { }\n\n/**\n * The text model from SigLIP without any head or projection on top.\n * \n * **Example:** Compute text embeddings with `SiglipTextModel`.\n * \n * ```javascript\n * import { AutoTokenizer, SiglipTextModel } from '@xenova/transformers';\n * \n * // Load tokenizer and text model\n * const tokenizer = await AutoTokenizer.from_pretrained('Xenova/siglip-base-patch16-224');\n * const text_model = await SiglipTextModel.from_pretrained('Xenova/siglip-base-patch16-224');\n * \n * // Run tokenization\n * const texts = ['a photo of 2 cats', 'a photo of 2 dogs'];\n * const text_inputs = tokenizer(texts, { padding: 'max_length', truncation: true });\n * \n * // Compute embeddings\n * const { pooler_output } = await text_model(text_inputs);\n * // Tensor {\n * //   dims: [ 2, 768 ],\n * //   type: 'float32',\n * //   data: Float32Array(1536) [ ... ],\n * //   size: 1536\n * // }\n * ```\n */\nexport class SiglipTextModel extends SiglipPreTrainedModel {\n\n    /** @type {PreTrainedModel.from_pretrained} */\n    static async from_pretrained(pretrained_model_name_or_path, options = {}) {\n        // Update default model file name if not provided\n        options.model_file_name ??= 'text_model';\n        return super.from_pretrained(pretrained_model_name_or_path, options);\n    }\n}\n\n/**\n * The vision model from SigLIP without any head or projection on top.\n * \n * **Example:** Compute vision embeddings with `SiglipVisionModel`.\n * \n * ```javascript\n * import { AutoProcessor, SiglipVisionModel, RawImage} from '@xenova/transformers';\n * \n * // Load processor and vision model\n * const processor = await AutoProcessor.from_pretrained('Xenova/siglip-base-patch16-224');\n * const vision_model = await SiglipVisionModel.from_pretrained('Xenova/siglip-base-patch16-224');\n * \n * // Read image and run processor\n * const image = await RawImage.read('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/football-match.jpg');\n * const image_inputs = await processor(image);\n * \n * // Compute embeddings\n * const { pooler_output } = await vision_model(image_inputs);\n * // Tensor {\n * //   dims: [ 1, 768 ],\n * //   type: 'float32',\n * //   data: Float32Array(768) [ ... ],\n * //   size: 768\n * // }\n * ```\n */\nexport class SiglipVisionModel extends CLIPPreTrainedModel {\n    /** @type {PreTrainedModel.from_pretrained} */\n    static async from_pretrained(pretrained_model_name_or_path, options = {}) {\n        // Update default model file name if not provided\n        options.model_file_name ??= 'vision_model';\n        return super.from_pretrained(pretrained_model_name_or_path, options);\n    }\n}\n//////////////////////////////////////////////////\n// ChineseCLIP models\nexport class ChineseCLIPPreTrainedModel extends PreTrainedModel { }\n\nexport class ChineseCLIPModel extends ChineseCLIPPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// CLIPSeg models\nexport class CLIPSegPreTrainedModel extends PreTrainedModel { }\n\nexport class CLIPSegModel extends CLIPSegPreTrainedModel { }\n\n/**\n * CLIPSeg model with a Transformer-based decoder on top for zero-shot and one-shot image segmentation.\n * \n * **Example:** Perform zero-shot image segmentation with a `CLIPSegForImageSegmentation` model.\n * \n * ```javascript\n * import { AutoTokenizer, AutoProcessor, CLIPSegForImageSegmentation, RawImage } from '@xenova/transformers';\n * \n * // Load tokenizer, processor, and model\n * const tokenizer = await AutoTokenizer.from_pretrained('Xenova/clipseg-rd64-refined');\n * const processor = await AutoProcessor.from_pretrained('Xenova/clipseg-rd64-refined');\n * const model = await CLIPSegForImageSegmentation.from_pretrained('Xenova/clipseg-rd64-refined');\n * \n * // Run tokenization\n * const texts = ['a glass', 'something to fill', 'wood', 'a jar'];\n * const text_inputs = tokenizer(texts, { padding: true, truncation: true });\n * \n * // Read image and run processor\n * const image = await RawImage.read('https://github.com/timojl/clipseg/blob/master/example_image.jpg?raw=true');\n * const image_inputs = await processor(image);\n * \n * // Run model with both text and pixel inputs\n * const { logits } = await model({ ...text_inputs, ...image_inputs });\n * // logits: Tensor {\n * //   dims: [4, 352, 352],\n * //   type: 'float32',\n * //   data: Float32Array(495616) [ ... ],\n * //   size: 495616\n * // }\n * ```\n * \n * You can visualize the predictions as follows:\n * ```javascript\n * const preds = logits\n *   .unsqueeze_(1)\n *   .sigmoid_()\n *   .mul_(255)\n *   .round_()\n *   .to('uint8');\n * \n * for (let i = 0; i < preds.dims[0]; ++i) {\n *   const img = RawImage.fromTensor(preds[i]);\n *   img.save(`prediction_${i}.png`);\n * }\n * ```\n */\nexport class CLIPSegForImageSegmentation extends CLIPSegPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// GPT2 models\nexport class GPT2PreTrainedModel extends PreTrainedModel {\n    /**\n     * Creates a new instance of the `GPT2PreTrainedModel` class.\n     * @param {Object} config The configuration of the model.\n     * @param {any} session The ONNX session containing the model weights.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, generation_config) {\n        super(config, session);\n        this.generation_config = generation_config;\n\n        // config doesn't contain pad_token_id, so we assume it is the eos_token_id\n        this.config.pad_token_id = this.config.eos_token_id\n\n        this.num_heads = this.config.n_head\n        this.num_layers = this.config.n_layer\n        this.dim_kv = this.config.n_embd / this.num_heads;\n    }\n}\n\nexport class GPT2Model extends GPT2PreTrainedModel { }\n\n/**\n * GPT-2 language model head on top of the GPT-2 base model. This model is suitable for text generation tasks.\n */\nexport class GPT2LMHeadModel extends GPT2PreTrainedModel { }\n// export class GPT2ForSequenceClassification extends GPT2PreTrainedModel {\n// TODO\n// }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// GPTNeo models\nexport class GPTNeoPreTrainedModel extends PreTrainedModel {\n    /**\n     * Creates a new instance of the `GPTNeoPreTrainedModel` class.\n     * @param {Object} config The configuration of the model.\n     * @param {any} session The ONNX session containing the model weights.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, generation_config) {\n        super(config, session);\n        this.generation_config = generation_config;\n\n        // config doesn't contain pad_token_id, so we assume it is the eos_token_id\n        this.config.pad_token_id = this.config.eos_token_id\n\n        this.num_heads = this.config.num_heads;\n        this.num_layers = this.config.num_layers;\n        this.dim_kv = this.config.hidden_size / this.num_heads;\n    }\n}\nexport class GPTNeoModel extends GPTNeoPreTrainedModel { }\n\nexport class GPTNeoForCausalLM extends GPTNeoPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// GPTNeoX models\nexport class GPTNeoXPreTrainedModel extends PreTrainedModel {\n    /**\n     * Creates a new instance of the `GPTNeoXPreTrainedModel` class.\n     * @param {Object} config The configuration of the model.\n     * @param {any} session The ONNX session containing the model weights.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, generation_config) {\n        super(config, session);\n        this.generation_config = generation_config;\n\n        // config doesn't contain pad_token_id, so we assume it is the eos_token_id\n        this.config.pad_token_id = this.config.eos_token_id\n\n        this.num_heads = this.config.num_attention_heads;\n        this.num_layers = this.config.num_hidden_layers;\n        this.dim_kv = this.config.hidden_size / this.num_heads;\n    }\n}\nexport class GPTNeoXModel extends GPTNeoXPreTrainedModel { }\n\nexport class GPTNeoXForCausalLM extends GPTNeoXPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// GPT-J models\nexport class GPTJPreTrainedModel extends PreTrainedModel {\n    /**\n     * Creates a new instance of the `GPTJPreTrainedModel` class.\n     * @param {Object} config The configuration of the model.\n     * @param {any} session The ONNX session containing the model weights.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, generation_config) {\n        super(config, session);\n        this.generation_config = generation_config;\n\n        // config doesn't contain pad_token_id, so we assume it is the eos_token_id\n        this.config.pad_token_id = this.config.eos_token_id\n\n        this.num_heads = this.config.n_head\n        this.num_layers = this.config.n_layer\n        this.dim_kv = this.config.n_embd / this.num_heads;\n    }\n}\n\nexport class GPTJModel extends GPTJPreTrainedModel { }\n\nexport class GPTJForCausalLM extends GPTJPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// GPTBigCode models\nexport class GPTBigCodePreTrainedModel extends PreTrainedModel {\n    /**\n     * Creates a new instance of the `GPTBigCodePreTrainedModel` class.\n     * @param {Object} config The configuration of the model.\n     * @param {any} session The ONNX session containing the model weights.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, generation_config) {\n        super(config, session);\n        this.generation_config = generation_config;\n\n        // config doesn't contain pad_token_id, so we assume it is the eos_token_id\n        this.config.pad_token_id = this.config.eos_token_id\n\n        this.num_heads = this.config.n_head\n        this.num_layers = this.config.n_layer\n        this.dim_kv = this.config.n_embd / this.num_heads;\n    }\n}\n\nexport class GPTBigCodeModel extends GPTBigCodePreTrainedModel { }\n\nexport class GPTBigCodeForCausalLM extends GPTBigCodePreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// CodeGen models\nexport class CodeGenPreTrainedModel extends PreTrainedModel {\n    /**\n     * Creates a new instance of the `CodeGenPreTrainedModel` class.\n     * @param {Object} config The model configuration object.\n     * @param {Object} session The ONNX session object.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, generation_config) {\n        super(config, session);\n        this.generation_config = generation_config;\n\n        // config doesn't contain pad_token_id, so we assume it is the eos_token_id\n        this.config.pad_token_id = this.config.eos_token_id\n\n        this.num_heads = this.config.n_head\n        this.num_layers = this.config.n_layer\n        this.dim_kv = this.config.n_embd / this.num_heads;\n    }\n}\n/**\n * CodeGenModel is a class representing a code generation model without a language model head.\n */\nexport class CodeGenModel extends CodeGenPreTrainedModel { }\n\n/**\n * CodeGenForCausalLM is a class that represents a code generation model based on the GPT-2 architecture. It extends the `CodeGenPreTrainedModel` class.\n */\nexport class CodeGenForCausalLM extends CodeGenPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// LLama models\n\n/**\n * The bare LLama Model outputting raw hidden-states without any specific head on top.\n */\nexport class LlamaPreTrainedModel extends PreTrainedModel {\n    /**\n     * Creates a new instance of the `LlamaPreTrainedModel` class.\n     * @param {Object} config The model configuration object.\n     * @param {Object} session The ONNX session object.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, generation_config) {\n        super(config, session);\n        this.generation_config = generation_config;\n\n        // config doesn't contain pad_token_id, so we assume it is the eos_token_id\n        this.config.pad_token_id = this.config.eos_token_id\n\n        this.num_heads = this.config.num_key_value_heads ?? this.config.num_attention_heads\n        this.num_layers = this.config.num_hidden_layers\n        this.dim_kv = this.config.hidden_size / this.config.num_attention_heads\n    }\n}\n/**\n * The bare LLaMA Model outputting raw hidden-states without any specific head on top.\n */\nexport class LlamaModel extends LlamaPreTrainedModel { }\n\nexport class LlamaForCausalLM extends LlamaPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Qwen2 models\n\n/**\n * The bare Qwen2 Model outputting raw hidden-states without any specific head on top.\n */\nexport class Qwen2PreTrainedModel extends PreTrainedModel {\n    /**\n     * Creates a new instance of the `Qwen2PreTrainedModel` class.\n     * @param {Object} config The model configuration object.\n     * @param {Object} session The ONNX session object.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, generation_config) {\n        super(config, session);\n        this.generation_config = generation_config;\n\n        // config doesn't contain pad_token_id, so we assume it is the eos_token_id\n        this.config.pad_token_id = this.config.eos_token_id\n\n        this.num_heads = this.config.num_key_value_heads ?? this.config.num_attention_heads\n        this.num_layers = this.config.num_hidden_layers\n        this.dim_kv = this.config.hidden_size / this.config.num_attention_heads\n    }\n}\n/**\n * The bare Qwen2 Model outputting raw hidden-states without any specific head on top.\n */\nexport class Qwen2Model extends Qwen2PreTrainedModel { }\n\nexport class Qwen2ForCausalLM extends Qwen2PreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Phi models\n\nexport class PhiPreTrainedModel extends PreTrainedModel {\n    /**\n     * Creates a new instance of the `PhiPreTrainedModel` class.\n     * @param {Object} config The model configuration object.\n     * @param {Object} session The ONNX session object.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, generation_config) {\n        super(config, session);\n        this.generation_config = generation_config;\n\n        // config doesn't contain pad_token_id, so we assume it is the eos_token_id\n        this.config.pad_token_id = this.config.eos_token_id;\n\n        this.num_heads = this.config.num_attention_heads;\n        this.num_layers = this.config.num_hidden_layers;\n        this.dim_kv = this.config.hidden_size / this.num_heads;\n    }\n}\n/**\n * The bare Phi Model outputting raw hidden-states without any specific head on top.\n */\nexport class PhiModel extends PhiPreTrainedModel { }\n\nexport class PhiForCausalLM extends PhiPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Bloom models\n/**\n * The Bloom Model transformer with a language modeling head on top (linear layer with weights tied to the input embeddings).\n */\nexport class BloomPreTrainedModel extends PreTrainedModel {\n    /**\n     * Creates a new instance of the `BloomPreTrainedModel` class.\n     * @param {Object} config The configuration of the model.\n     * @param {any} session The ONNX session containing the model weights.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, generation_config) {\n        super(config, session);\n        this.generation_config = generation_config;\n\n        // config doesn't contain pad_token_id, so we assume it is the eos_token_id\n        this.config.pad_token_id = this.config.eos_token_id\n\n        this.num_heads = this.config.n_head\n        this.num_layers = this.config.n_layer\n        this.dim_kv = this.config.hidden_size / this.num_heads;\n    }\n}\n\n/**\n * The bare Bloom Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class BloomModel extends BloomPreTrainedModel { }\n\n/**\n * The Bloom Model transformer with a language modeling head on top (linear layer with weights tied to the input embeddings).\n */\nexport class BloomForCausalLM extends BloomPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// MPT models\nexport class MptPreTrainedModel extends PreTrainedModel {\n    /**\n     * Creates a new instance of the `MptPreTrainedModel` class.\n     * @param {Object} config The model configuration object.\n     * @param {Object} session The ONNX session object.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, generation_config) {\n        super(config, session);\n        this.generation_config = generation_config;\n\n        // config doesn't contain pad_token_id, so we assume it is the eos_token_id\n        this.config.pad_token_id = this.config.eos_token_id\n\n        this.num_heads = this.config.n_heads\n        this.num_layers = this.config.n_layers\n        this.dim_kv = this.config.d_model / this.num_heads;\n    }\n}\n\n/**\n * The bare Mpt Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class MptModel extends MptPreTrainedModel { }\n\n/**\n * The MPT Model transformer with a language modeling head on top (linear layer with weights tied to the input embeddings).\n */\nexport class MptForCausalLM extends MptPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// OPT models\nexport class OPTPreTrainedModel extends PreTrainedModel {\n    /**\n     * Creates a new instance of the `OPTPreTrainedModel` class.\n     * @param {Object} config The model configuration object.\n     * @param {Object} session The ONNX session object.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, generation_config) {\n        super(config, session);\n        this.generation_config = generation_config;\n\n        // config doesn't contain pad_token_id, so we assume it is the eos_token_id\n        this.config.pad_token_id = this.config.eos_token_id\n\n        this.num_heads = this.config.num_attention_heads;\n        this.num_layers = this.config.num_hidden_layers;\n        this.dim_kv = this.config.hidden_size / this.num_heads;\n    }\n}\n\n/**\n * The bare OPT Model outputting raw hidden-states without any specific head on top.\n */\nexport class OPTModel extends OPTPreTrainedModel { }\n\n/**\n * The OPT Model transformer with a language modeling head on top (linear layer with weights tied to the input embeddings).\n */\nexport class OPTForCausalLM extends OPTPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class ViTPreTrainedModel extends PreTrainedModel { }\nexport class ViTModel extends ViTPreTrainedModel { }\nexport class ViTForImageClassification extends ViTPreTrainedModel {\n    /**\n     * @param {any} model_inputs\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class FastViTPreTrainedModel extends PreTrainedModel { }\nexport class FastViTModel extends FastViTPreTrainedModel { }\nexport class FastViTForImageClassification extends FastViTPreTrainedModel {\n    /**\n     * @param {any} model_inputs\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class VitMattePreTrainedModel extends PreTrainedModel { }\n\n/**\n * ViTMatte framework leveraging any vision backbone e.g. for ADE20k, CityScapes.\n * \n * **Example:** Perform image matting with a `VitMatteForImageMatting` model.\n * ```javascript\n * import { AutoProcessor, VitMatteForImageMatting, RawImage } from '@xenova/transformers';\n * \n * // Load processor and model\n * const processor = await AutoProcessor.from_pretrained('Xenova/vitmatte-small-distinctions-646');\n * const model = await VitMatteForImageMatting.from_pretrained('Xenova/vitmatte-small-distinctions-646');\n * \n * // Load image and trimap\n * const image = await RawImage.fromURL('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/vitmatte_image.png');\n * const trimap = await RawImage.fromURL('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/vitmatte_trimap.png');\n * \n * // Prepare image + trimap for the model\n * const inputs = await processor(image, trimap);\n * \n * // Predict alpha matte\n * const { alphas } = await model(inputs);\n * // Tensor {\n * //   dims: [ 1, 1, 640, 960 ],\n * //   type: 'float32',\n * //   size: 614400,\n * //   data: Float32Array(614400) [ 0.9894027709960938, 0.9970508813858032, ... ]\n * // }\n * ```\n * \n * You can visualize the alpha matte as follows:\n * ```javascript\n * import { Tensor, cat } from '@xenova/transformers';\n * \n * // Visualize predicted alpha matte\n * const imageTensor = image.toTensor();\n * \n * // Convert float (0-1) alpha matte to uint8 (0-255)\n * const alphaChannel = alphas\n *   .squeeze(0)\n *   .mul_(255)\n *   .clamp_(0, 255)\n *   .round_()\n *   .to('uint8');\n * \n * // Concatenate original image with predicted alpha\n * const imageData = cat([imageTensor, alphaChannel], 0);\n * \n * // Save output image\n * const outputImage = RawImage.fromTensor(imageData);\n * outputImage.save('output.png');\n * ```\n */\nexport class VitMatteForImageMatting extends VitMattePreTrainedModel {\n    /**\n     * @param {any} model_inputs\n     */\n    async _call(model_inputs) {\n        return new ImageMattingOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class MobileViTPreTrainedModel extends PreTrainedModel { }\nexport class MobileViTModel extends MobileViTPreTrainedModel { }\nexport class MobileViTForImageClassification extends MobileViTPreTrainedModel {\n    /**\n     * @param {any} model_inputs\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n// TODO: MobileViTForSemanticSegmentation\n\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class MobileViTV2PreTrainedModel extends PreTrainedModel { }\nexport class MobileViTV2Model extends MobileViTV2PreTrainedModel { }\nexport class MobileViTV2ForImageClassification extends MobileViTV2PreTrainedModel {\n    /**\n     * @param {any} model_inputs\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n// TODO: MobileViTV2ForSemanticSegmentation\n\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class OwlViTPreTrainedModel extends PreTrainedModel { }\nexport class OwlViTModel extends OwlViTPreTrainedModel { }\nexport class OwlViTForObjectDetection extends OwlViTPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class Owlv2PreTrainedModel extends PreTrainedModel { }\nexport class Owlv2Model extends Owlv2PreTrainedModel { }\nexport class Owlv2ForObjectDetection extends Owlv2PreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Beit Models\nexport class BeitPreTrainedModel extends PreTrainedModel { }\nexport class BeitModel extends BeitPreTrainedModel { }\nexport class BeitForImageClassification extends BeitPreTrainedModel {\n    /**\n     * @param {any} model_inputs\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class DetrPreTrainedModel extends PreTrainedModel { }\nexport class DetrModel extends DetrPreTrainedModel { }\nexport class DetrForObjectDetection extends DetrPreTrainedModel {\n    /**\n     * @param {any} model_inputs\n     */\n    async _call(model_inputs) {\n        return new DetrObjectDetectionOutput(await super._call(model_inputs));\n    }\n}\n\nexport class DetrForSegmentation extends DetrPreTrainedModel {\n    /**\n     * Runs the model with the provided inputs\n     * @param {Object} model_inputs Model inputs\n     * @returns {Promise<DetrSegmentationOutput>} Object containing segmentation outputs\n     */\n    async _call(model_inputs) {\n        return new DetrSegmentationOutput(await super._call(model_inputs));\n    }\n}\n\nexport class DetrObjectDetectionOutput extends ModelOutput {\n    /**\n     * @param {Object} output The output of the model.\n     * @param {Tensor} output.logits Classification logits (including no-object) for all queries.\n     * @param {Tensor} output.pred_boxes Normalized boxes coordinates for all queries, represented as (center_x, center_y, width, height).\n     * These values are normalized in [0, 1], relative to the size of each individual image in the batch (disregarding possible padding).\n     */\n    constructor({ logits, pred_boxes }) {\n        super();\n        this.logits = logits;\n        this.pred_boxes = pred_boxes;\n    }\n}\n\nexport class DetrSegmentationOutput extends ModelOutput {\n    /**\n     * @param {Object} output The output of the model.\n     * @param {Tensor} output.logits The output logits of the model.\n     * @param {Tensor} output.pred_boxes Predicted boxes.\n     * @param {Tensor} output.pred_masks Predicted masks.\n     */\n    constructor({ logits, pred_boxes, pred_masks }) {\n        super();\n        this.logits = logits;\n        this.pred_boxes = pred_boxes;\n        this.pred_masks = pred_masks;\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class TableTransformerPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare Table Transformer Model (consisting of a backbone and encoder-decoder Transformer)\n * outputting raw hidden-states without any specific head on top.\n */\nexport class TableTransformerModel extends TableTransformerPreTrainedModel { }\n\n/**\n * Table Transformer Model (consisting of a backbone and encoder-decoder Transformer)\n * with object detection heads on top, for tasks such as COCO detection.\n */\nexport class TableTransformerForObjectDetection extends TableTransformerPreTrainedModel {\n    /**\n     * @param {any} model_inputs\n     */\n    async _call(model_inputs) {\n        return new TableTransformerObjectDetectionOutput(await super._call(model_inputs));\n    }\n}\nexport class TableTransformerObjectDetectionOutput extends DetrObjectDetectionOutput { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class DeiTPreTrainedModel extends PreTrainedModel { }\nexport class DeiTModel extends DeiTPreTrainedModel { }\nexport class DeiTForImageClassification extends DeiTPreTrainedModel {\n    /**\n     * @param {any} model_inputs\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n/**\n * An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained models.\n */\nexport class ResNetPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare ResNet model outputting raw features without any specific head on top.\n */\nexport class ResNetModel extends ResNetPreTrainedModel { }\n\n/**\n * ResNet Model with an image classification head on top (a linear layer on top of the pooled features), e.g. for ImageNet.\n */\nexport class ResNetForImageClassification extends ResNetPreTrainedModel {\n    /**\n     * @param {any} model_inputs\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class SwinPreTrainedModel extends PreTrainedModel { }\nexport class SwinModel extends SwinPreTrainedModel { }\nexport class SwinForImageClassification extends SwinPreTrainedModel {\n    /**\n     * @param {any} model_inputs\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class Swin2SRPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare Swin2SR Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class Swin2SRModel extends Swin2SRPreTrainedModel { }\n\n/**\n * Swin2SR Model transformer with an upsampler head on top for image super resolution and restoration.\n * \n * **Example:** Super-resolution w/ `Xenova/swin2SR-classical-sr-x2-64`.\n * \n * ```javascript\n * import { AutoProcessor, Swin2SRForImageSuperResolution, RawImage } from '@xenova/transformers';\n * \n * // Load processor and model\n * const model_id = 'Xenova/swin2SR-classical-sr-x2-64';\n * const processor = await AutoProcessor.from_pretrained(model_id);\n * const model = await Swin2SRForImageSuperResolution.from_pretrained(model_id);\n * \n * // Prepare model inputs\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/butterfly.jpg';\n * const image = await RawImage.fromURL(url);\n * const inputs = await processor(image);\n * \n * // Run model\n * const outputs = await model(inputs);\n * \n * // Convert Tensor to RawImage\n * const output = outputs.reconstruction.squeeze().clamp_(0, 1).mul_(255).round_().to('uint8');\n * const outputImage = RawImage.fromTensor(output);\n * // RawImage {\n * //   data: Uint8Array(786432) [ 41, 31, 24, ... ],\n * //   width: 512,\n * //   height: 512,\n * //   channels: 3\n * // }\n * ```\n */\nexport class Swin2SRForImageSuperResolution extends Swin2SRPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class DPTPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare DPT Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class DPTModel extends DPTPreTrainedModel { }\n\n/**\n * DPT Model with a depth estimation head on top (consisting of 3 convolutional layers) e.g. for KITTI, NYUv2.\n * \n * **Example:** Depth estimation w/ `Xenova/dpt-hybrid-midas`.\n * ```javascript\n * import { DPTForDepthEstimation, AutoProcessor, RawImage, interpolate, max } from '@xenova/transformers';\n * \n * // Load model and processor\n * const model_id = 'Xenova/dpt-hybrid-midas';\n * const model = await DPTForDepthEstimation.from_pretrained(model_id);\n * const processor = await AutoProcessor.from_pretrained(model_id);\n * \n * // Load image from URL\n * const url = 'http://images.cocodataset.org/val2017/000000039769.jpg';\n * const image = await RawImage.fromURL(url);\n * \n * // Prepare image for the model\n * const inputs = await processor(image);\n * \n * // Run model\n * const { predicted_depth } = await model(inputs);\n * \n * // Interpolate to original size\n * const prediction = interpolate(predicted_depth, image.size.reverse(), 'bilinear', false);\n * \n * // Visualize the prediction\n * const formatted = prediction.mul_(255 / max(prediction.data)[0]).to('uint8');\n * const depth = RawImage.fromTensor(formatted);\n * // RawImage {\n * //   data: Uint8Array(307200) [ 85, 85, 84, ... ],\n * //   width: 640,\n * //   height: 480,\n * //   channels: 1\n * // }\n * ```\n */\nexport class DPTForDepthEstimation extends DPTPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class DepthAnythingPreTrainedModel extends PreTrainedModel { }\n\n/**\n * Depth Anything Model with a depth estimation head on top (consisting of 3 convolutional layers) e.g. for KITTI, NYUv2.\n */\nexport class DepthAnythingForDepthEstimation extends DepthAnythingPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class GLPNPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare GLPN encoder (Mix-Transformer) outputting raw hidden-states without any specific head on top.\n */\nexport class GLPNModel extends GLPNPreTrainedModel { }\n\n/**\n * GLPN Model transformer with a lightweight depth estimation head on top e.g. for KITTI, NYUv2.\n * \n * **Example:** Depth estimation w/ `Xenova/glpn-kitti`.\n * ```javascript\n * import { GLPNForDepthEstimation, AutoProcessor, RawImage, interpolate, max } from '@xenova/transformers';\n * \n * // Load model and processor\n * const model_id = 'Xenova/glpn-kitti';\n * const model = await GLPNForDepthEstimation.from_pretrained(model_id);\n * const processor = await AutoProcessor.from_pretrained(model_id);\n * \n * // Load image from URL\n * const url = 'http://images.cocodataset.org/val2017/000000039769.jpg';\n * const image = await RawImage.fromURL(url);\n * \n * // Prepare image for the model\n * const inputs = await processor(image);\n * \n * // Run model\n * const { predicted_depth } = await model(inputs);\n * \n * // Interpolate to original size\n * const prediction = interpolate(predicted_depth, image.size.reverse(), 'bilinear', false);\n * \n * // Visualize the prediction\n * const formatted = prediction.mul_(255 / max(prediction.data)[0]).to('uint8');\n * const depth = RawImage.fromTensor(formatted);\n * // RawImage {\n * //   data: Uint8Array(307200) [ 207, 169, 154, ... ],\n * //   width: 640,\n * //   height: 480,\n * //   channels: 1\n * // }\n * ```\n */\nexport class GLPNForDepthEstimation extends GLPNPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class DonutSwinPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare Donut Swin Model transformer outputting raw hidden-states without any specific head on top.\n * \n * **Example:** Step-by-step Document Parsing.\n * \n * ```javascript\n * import { AutoProcessor, AutoTokenizer, AutoModelForVision2Seq, RawImage } from '@xenova/transformers';\n * \n * // Choose model to use\n * const model_id = 'Xenova/donut-base-finetuned-cord-v2';\n * \n * // Prepare image inputs\n * const processor = await AutoProcessor.from_pretrained(model_id);\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/receipt.png';\n * const image = await RawImage.read(url);\n * const image_inputs = await processor(image);\n * \n * // Prepare decoder inputs\n * const tokenizer = await AutoTokenizer.from_pretrained(model_id);\n * const task_prompt = '<s_cord-v2>';\n * const decoder_input_ids = tokenizer(task_prompt, {\n *   add_special_tokens: false,\n * }).input_ids;\n * \n * // Create the model\n * const model = await AutoModelForVision2Seq.from_pretrained(model_id);\n * \n * // Run inference\n * const output = await model.generate(image_inputs.pixel_values, {\n *   decoder_input_ids,\n *   max_length: model.config.decoder.max_position_embeddings,\n * });\n * \n * // Decode output\n * const decoded = tokenizer.batch_decode(output)[0];\n * // <s_cord-v2><s_menu><s_nm> CINNAMON SUGAR</s_nm><s_unitprice> 17,000</s_unitprice><s_cnt> 1 x</s_cnt><s_price> 17,000</s_price></s_menu><s_sub_total><s_subtotal_price> 17,000</s_subtotal_price></s_sub_total><s_total><s_total_price> 17,000</s_total_price><s_cashprice> 20,000</s_cashprice><s_changeprice> 3,000</s_changeprice></s_total></s>\n * ```\n * \n * **Example:** Step-by-step Document Visual Question Answering (DocVQA)\n * \n * ```javascript\n * import { AutoProcessor, AutoTokenizer, AutoModelForVision2Seq, RawImage } from '@xenova/transformers';\n * \n * // Choose model to use\n * const model_id = 'Xenova/donut-base-finetuned-docvqa';\n * \n * // Prepare image inputs\n * const processor = await AutoProcessor.from_pretrained(model_id);\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/invoice.png';\n * const image = await RawImage.read(url);\n * const image_inputs = await processor(image);\n * \n * // Prepare decoder inputs\n * const tokenizer = await AutoTokenizer.from_pretrained(model_id);\n * const question = 'What is the invoice number?';\n * const task_prompt = `<s_docvqa><s_question>${question}</s_question><s_answer>`;\n * const decoder_input_ids = tokenizer(task_prompt, {\n *   add_special_tokens: false,\n * }).input_ids;\n * \n * // Create the model\n * const model = await AutoModelForVision2Seq.from_pretrained(model_id);\n * \n * // Run inference\n * const output = await model.generate(image_inputs.pixel_values, {\n *   decoder_input_ids,\n *   max_length: model.config.decoder.max_position_embeddings,\n * });\n * \n * // Decode output\n * const decoded = tokenizer.batch_decode(output)[0];\n * // <s_docvqa><s_question> What is the invoice number?</s_question><s_answer> us-001</s_answer></s>\n * ```\n */\nexport class DonutSwinModel extends DonutSwinPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class ConvNextPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare ConvNext model outputting raw features without any specific head on top.\n */\nexport class ConvNextModel extends ConvNextPreTrainedModel { }\n\n/**\n * ConvNext Model with an image classification head on top (a linear layer on top of the pooled features), e.g. for ImageNet.\n */\nexport class ConvNextForImageClassification extends ConvNextPreTrainedModel {\n    /**\n     * @param {any} model_inputs\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class ConvNextV2PreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare ConvNextV2 model outputting raw features without any specific head on top.\n */\nexport class ConvNextV2Model extends ConvNextV2PreTrainedModel { }\n\n/**\n * ConvNextV2 Model with an image classification head on top (a linear layer on top of the pooled features), e.g. for ImageNet.\n */\nexport class ConvNextV2ForImageClassification extends ConvNextV2PreTrainedModel {\n    /**\n     * @param {any} model_inputs\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class Dinov2PreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare DINOv2 Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class Dinov2Model extends Dinov2PreTrainedModel { }\n\n/**\n * Dinov2 Model transformer with an image classification head on top (a linear layer on top of the final hidden state of the [CLS] token) e.g. for ImageNet.\n */\nexport class Dinov2ForImageClassification extends Dinov2PreTrainedModel {\n    /**\n     * @param {any} model_inputs\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class YolosPreTrainedModel extends PreTrainedModel { }\nexport class YolosModel extends YolosPreTrainedModel { }\nexport class YolosForObjectDetection extends YolosPreTrainedModel {\n    /**\n     * @param {any} model_inputs\n     */\n    async _call(model_inputs) {\n        return new YolosObjectDetectionOutput(await super._call(model_inputs));\n    }\n}\n\nexport class YolosObjectDetectionOutput extends ModelOutput {\n    /**\n     * @param {Object} output The output of the model.\n     * @param {Tensor} output.logits Classification logits (including no-object) for all queries.\n     * @param {Tensor} output.pred_boxes Normalized boxes coordinates for all queries, represented as (center_x, center_y, width, height).\n     * These values are normalized in [0, 1], relative to the size of each individual image in the batch (disregarding possible padding).\n     */\n    constructor({ logits, pred_boxes }) {\n        super();\n        this.logits = logits;\n        this.pred_boxes = pred_boxes;\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class SamPreTrainedModel extends PreTrainedModel { }\n\n/**\n * Segment Anything Model (SAM) for generating segmentation masks, given an input image\n * and optional 2D location and bounding boxes.\n * \n * **Example:** Perform mask generation w/ `Xenova/sam-vit-base`.\n * ```javascript\n * import { SamModel, AutoProcessor, RawImage } from '@xenova/transformers';\n * \n * const model = await SamModel.from_pretrained('Xenova/sam-vit-base');\n * const processor = await AutoProcessor.from_pretrained('Xenova/sam-vit-base');\n * \n * const img_url = 'https://huggingface.co/ybelkada/segment-anything/resolve/main/assets/car.png';\n * const raw_image = await RawImage.read(img_url);\n * const input_points = [[[450, 600]]] // 2D localization of a window\n * \n * const inputs = await processor(raw_image, input_points);\n * const outputs = await model(inputs);\n * \n * const masks = await processor.post_process_masks(outputs.pred_masks, inputs.original_sizes, inputs.reshaped_input_sizes);\n * // [\n * //   Tensor {\n * //     dims: [ 1, 3, 1764, 2646 ],\n * //     type: 'bool',\n * //     data: Uint8Array(14002632) [ ... ],\n * //     size: 14002632\n * //   }\n * // ]\n * const scores = outputs.iou_scores;\n * // Tensor {\n * //   dims: [ 1, 1, 3 ],\n * //   type: 'float32',\n * //   data: Float32Array(3) [\n * //     0.8892380595207214,\n * //     0.9311248064041138,\n * //     0.983696699142456\n * //   ],\n * //   size: 3\n * // }\n * ```\n */\nexport class SamModel extends SamPreTrainedModel {\n    /**\n     * Creates a new instance of the `SamModel` class.\n     * @param {Object} config The configuration object specifying the hyperparameters and other model settings.\n     * @param {Object} vision_encoder The ONNX session containing the vision encoder model.\n     * @param {any} prompt_encoder_mask_decoder The ONNX session containing the prompt encoder and mask decoder model.\n     */\n    constructor(config, vision_encoder, prompt_encoder_mask_decoder) {\n        super(config, vision_encoder);\n        this.prompt_encoder_mask_decoder = prompt_encoder_mask_decoder;\n    }\n\n    /**\n     * Compute image embeddings and positional image embeddings, given the pixel values of an image.\n     * @param {Object} model_inputs Object containing the model inputs.\n     * @param {Tensor} model_inputs.pixel_values Pixel values obtained using a `SamProcessor`.\n     * @returns {Promise<{ image_embeddings: Tensor, image_positional_embeddings: Tensor }>} The image embeddings and positional image embeddings.\n     */\n    async get_image_embeddings({ pixel_values }) {\n        // in:\n        //  - pixel_values: tensor.float32[batch_size,3,1024,1024]\n        // \n        // out:\n        //  - image_embeddings: tensor.float32[batch_size,256,64,64]\n        //  - image_positional_embeddings: tensor.float32[batch_size,256,64,64]\n        return await encoderForward(this, { pixel_values })\n    }\n\n    /**\n     * @typedef {Object} SamModelInputs Object containing the model inputs.\n     * @property {Tensor} pixel_values Pixel values as a Tensor with shape `(batch_size, num_channels, height, width)`.\n     * These can be obtained using a `SamProcessor`.\n     * @property {Tensor} input_points Input 2D spatial points with shape `(batch_size, num_points, 2)`.\n     * This is used by the prompt encoder to encode the prompt.\n     * @property {Tensor} [input_labels] Input labels for the points, as a Tensor of shape `(batch_size, point_batch_size, num_points)`.\n     * This is used by the prompt encoder to encode the prompt. There are 4 types of labels:\n     *  - `1`: the point is a point that contains the object of interest\n     *  - `0`: the point is a point that does not contain the object of interest\n     *  - `-1`: the point corresponds to the background\n     *  - `-10`: the point is a padding point, thus should be ignored by the prompt encoder\n     * @property {Tensor} [image_embeddings] Image embeddings used by the mask decoder.\n     * @property {Tensor} [image_positional_embeddings] Image positional embeddings used by the mask decoder.\n     */\n\n    /**\n     * @param {SamModelInputs} model_inputs Object containing the model inputs.\n     * @returns {Promise<Object>} The output of the model.\n     */\n    async forward(model_inputs) {\n        if (!model_inputs.image_embeddings || !model_inputs.image_positional_embeddings) {\n            // Compute the image embeddings if they are missing\n            model_inputs = {\n                ...model_inputs,\n                ...(await this.get_image_embeddings(model_inputs))\n            }\n        }\n\n        if (!model_inputs.input_labels) {\n            // Set default input labels if they are missing\n            const shape = model_inputs.input_points.dims.slice(0, -1);\n            const numElements = shape.reduce((a, b) => a * b, 1);\n            model_inputs.input_labels = new Tensor(\n                'int64',\n                new BigInt64Array(numElements).fill(1n),\n                shape\n            );\n        }\n\n        // Returns:\n        //  - iou_scores: tensor.float32[batch_size,point_batch_size,3]\n        //  - pred_masks: tensor.float32[batch_size,point_batch_size,3,256,256]\n        return await sessionRun(this.prompt_encoder_mask_decoder, {\n            input_points: model_inputs.input_points,\n            input_labels: model_inputs.input_labels,\n            image_embeddings: model_inputs.image_embeddings,\n            image_positional_embeddings: model_inputs.image_positional_embeddings,\n        });\n    }\n\n    /**\n     * Runs the model with the provided inputs\n     * @param {Object} model_inputs Model inputs\n     * @returns {Promise<SamImageSegmentationOutput>} Object containing segmentation outputs\n     */\n    async _call(model_inputs) {\n        return new SamImageSegmentationOutput(await super._call(model_inputs));\n    }\n}\n\n\n/**\n * Base class for Segment-Anything model's output.\n */\nexport class SamImageSegmentationOutput extends ModelOutput {\n    /**\n     * @param {Object} output The output of the model.\n     * @param {Tensor} output.iou_scores The output logits of the model.\n     * @param {Tensor} output.pred_masks Predicted boxes.\n     */\n    constructor({ iou_scores, pred_masks }) {\n        super();\n        this.iou_scores = iou_scores;\n        this.pred_masks = pred_masks;\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// MarianMT models\nexport class MarianPreTrainedModel extends PreTrainedModel { };\n\nexport class MarianModel extends MarianPreTrainedModel { }\n\nexport class MarianMTModel extends MarianPreTrainedModel {\n\n    /**\n     * Creates a new instance of the `MarianMTModel` class.\n    * @param {Object} config The model configuration object.\n    * @param {Object} session The ONNX session object.\n    * @param {any} decoder_merged_session \n    * @param {any} generation_config \n    */\n    constructor(config, session, decoder_merged_session, generation_config) {\n        super(config, session);\n        this.decoder_merged_session = decoder_merged_session;\n        this.generation_config = generation_config;\n\n        this.num_decoder_layers = this.config.decoder_layers;\n        this.num_decoder_heads = this.config.decoder_attention_heads;\n        this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads;\n\n        this.num_encoder_layers = this.config.encoder_layers;\n        this.num_encoder_heads = this.config.encoder_attention_heads;\n        this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads;\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// M2M100 models\nexport class M2M100PreTrainedModel extends PreTrainedModel { };\n\nexport class M2M100Model extends M2M100PreTrainedModel { }\n\nexport class M2M100ForConditionalGeneration extends M2M100PreTrainedModel {\n\n    /**\n     * Creates a new instance of the `M2M100ForConditionalGeneration` class.\n    * @param {Object} config The model configuration object.\n    * @param {Object} session The ONNX session object.\n    * @param {any} decoder_merged_session \n    * @param {any} generation_config \n    */\n    constructor(config, session, decoder_merged_session, generation_config) {\n        super(config, session);\n        this.decoder_merged_session = decoder_merged_session;\n        this.generation_config = generation_config;\n\n        this.num_decoder_layers = this.config.decoder_layers;\n        this.num_decoder_heads = this.config.decoder_attention_heads;\n        this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads;\n\n        this.num_encoder_layers = this.config.encoder_layers;\n        this.num_encoder_heads = this.config.encoder_attention_heads;\n        this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads;\n    }\n\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Wav2Vec2 models\nexport class Wav2Vec2PreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare Wav2Vec2 Model transformer outputting raw hidden-states without any specific head on top.\n * \n * **Example:** Load and run a `Wav2Vec2Model` for feature extraction.\n * \n * ```javascript\n * import { AutoProcessor, AutoModel, read_audio } from '@xenova/transformers';\n * \n * // Read and preprocess audio\n * const processor = await AutoProcessor.from_pretrained('Xenova/mms-300m');\n * const audio = await read_audio('https://huggingface.co/datasets/Narsil/asr_dummy/resolve/main/mlk.flac', 16000);\n * const inputs = await processor(audio);\n * \n * // Run model with inputs\n * const model = await AutoModel.from_pretrained('Xenova/mms-300m');\n * const output = await model(inputs);\n * // {\n * //   last_hidden_state: Tensor {\n * //     dims: [ 1, 1144, 1024 ],\n * //     type: 'float32',\n * //     data: Float32Array(1171456) [ ... ],\n * //     size: 1171456\n * //   }\n * // }\n * ```\n */\nexport class Wav2Vec2Model extends Wav2Vec2PreTrainedModel { }\n\nexport class Wav2Vec2ForCTC extends Wav2Vec2PreTrainedModel {\n    /**\n     * @param {Object} model_inputs\n     * @param {Tensor} model_inputs.input_values Float values of input raw speech waveform.\n     * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1]\n     */\n    async _call(model_inputs) {\n        return new CausalLMOutput(await super._call(model_inputs));\n    }\n}\n\nexport class Wav2Vec2ForSequenceClassification extends Wav2Vec2PreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * Wav2Vec2 Model with a frame classification head on top for tasks like Speaker Diarization.\n */\nexport class Wav2Vec2ForAudioFrameClassification extends Wav2Vec2PreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new TokenClassifierOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// UniSpeech models\nexport class UniSpeechPreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare UniSpeech Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class UniSpeechModel extends UniSpeechPreTrainedModel { }\n\n/**\n * UniSpeech Model with a `language modeling` head on top for Connectionist Temporal Classification (CTC).\n */\nexport class UniSpeechForCTC extends UniSpeechPreTrainedModel {\n    /**\n     * @param {Object} model_inputs\n     * @param {Tensor} model_inputs.input_values Float values of input raw speech waveform.\n     * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1]\n     */\n    async _call(model_inputs) {\n        return new CausalLMOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * UniSpeech Model with a sequence classification head on top (a linear layer over the pooled output).\n */\nexport class UniSpeechForSequenceClassification extends UniSpeechPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// UniSpeechSat models\nexport class UniSpeechSatPreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare UniSpeechSat Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class UniSpeechSatModel extends UniSpeechSatPreTrainedModel { }\n\n/**\n * UniSpeechSat Model with a `language modeling` head on top for Connectionist Temporal Classification (CTC).\n */\nexport class UniSpeechSatForCTC extends UniSpeechSatPreTrainedModel {\n    /**\n     * @param {Object} model_inputs\n     * @param {Tensor} model_inputs.input_values Float values of input raw speech waveform.\n     * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1]\n     */\n    async _call(model_inputs) {\n        return new CausalLMOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * UniSpeechSat Model with a sequence classification head on top (a linear layer over the pooled output).\n */\nexport class UniSpeechSatForSequenceClassification extends UniSpeechSatPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * UniSpeechSat Model with a frame classification head on top for tasks like Speaker Diarization.\n */\nexport class UniSpeechSatForAudioFrameClassification extends UniSpeechSatPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new TokenClassifierOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Wav2Vec2Bert models\nexport class Wav2Vec2BertPreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare Wav2Vec2Bert Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class Wav2Vec2BertModel extends Wav2Vec2BertPreTrainedModel { }\n\n/**\n * Wav2Vec2Bert Model with a `language modeling` head on top for Connectionist Temporal Classification (CTC).\n */\nexport class Wav2Vec2BertForCTC extends Wav2Vec2BertPreTrainedModel {\n    /**\n     * @param {Object} model_inputs\n     * @param {Tensor} model_inputs.input_features Float values of input mel-spectrogram.\n     * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1]\n     */\n    async _call(model_inputs) {\n        return new CausalLMOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * Wav2Vec2Bert Model with a sequence classification head on top (a linear layer over the pooled output).\n */\nexport class Wav2Vec2BertForSequenceClassification extends Wav2Vec2BertPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Hubert models\nexport class HubertPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare Hubert Model transformer outputting raw hidden-states without any specific head on top.\n * \n * **Example:** Load and run a `HubertModel` for feature extraction.\n * \n * ```javascript\n * import { AutoProcessor, AutoModel, read_audio } from '@xenova/transformers';\n * \n * // Read and preprocess audio\n * const processor = await AutoProcessor.from_pretrained('Xenova/hubert-base-ls960');\n * const audio = await read_audio('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav', 16000);\n * const inputs = await processor(audio);\n * \n * // Load and run model with inputs\n * const model = await AutoModel.from_pretrained('Xenova/hubert-base-ls960');\n * const output = await model(inputs);\n * // {\n * //   last_hidden_state: Tensor {\n * //     dims: [ 1, 549, 768 ],\n * //     type: 'float32',\n * //     data: Float32Array(421632) [0.0682469978928566, 0.08104046434164047, -0.4975186586380005, ...],\n * //     size: 421632\n * //   }\n * // }\n * ```\n */\nexport class HubertModel extends Wav2Vec2PreTrainedModel { }\n\n/**\n * Hubert Model with a `language modeling` head on top for Connectionist Temporal Classification (CTC).\n */\nexport class HubertForCTC extends Wav2Vec2PreTrainedModel {\n    /**\n     * @param {Object} model_inputs\n     * @param {Tensor} model_inputs.input_values Float values of input raw speech waveform.\n     * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1]\n     */\n    async _call(model_inputs) {\n        return new CausalLMOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * Hubert Model with a sequence classification head on top (a linear layer over the pooled output) for tasks like SUPERB Keyword Spotting.\n */\nexport class HubertForSequenceClassification extends Wav2Vec2PreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// WavLM models\n/**\n * An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained models.\n */\nexport class WavLMPreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare WavLM Model transformer outputting raw hidden-states without any specific head on top.\n * \n * **Example:** Load and run a `WavLMModel` for feature extraction.\n * \n * ```javascript\n * import { AutoProcessor, AutoModel, read_audio } from '@xenova/transformers';\n * \n * // Read and preprocess audio\n * const processor = await AutoProcessor.from_pretrained('Xenova/wavlm-base');\n * const audio = await read_audio('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav', 16000);\n * const inputs = await processor(audio);\n * \n * // Run model with inputs\n * const model = await AutoModel.from_pretrained('Xenova/wavlm-base');\n * const output = await model(inputs);\n * // {\n * //   last_hidden_state: Tensor {\n * //     dims: [ 1, 549, 768 ],\n * //     type: 'float32',\n * //     data: Float32Array(421632) [-0.349443256855011, -0.39341306686401367,  0.022836603224277496, ...],\n * //     size: 421632\n * //   }\n * // }\n * ```\n */\nexport class WavLMModel extends WavLMPreTrainedModel { }\n\n/**\n * WavLM Model with a `language modeling` head on top for Connectionist Temporal Classification (CTC).\n */\nexport class WavLMForCTC extends WavLMPreTrainedModel {\n    /**\n     * @param {Object} model_inputs\n     * @param {Tensor} model_inputs.input_values Float values of input raw speech waveform.\n     * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1]\n     */\n    async _call(model_inputs) {\n        return new CausalLMOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * WavLM Model with a sequence classification head on top (a linear layer over the pooled output).\n */\nexport class WavLMForSequenceClassification extends WavLMPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * WavLM Model with an XVector feature extraction head on top for tasks like Speaker Verification.\n * \n * **Example:** Extract speaker embeddings with `WavLMForXVector`.\n * ```javascript\n * import { AutoProcessor, AutoModel, read_audio } from '@xenova/transformers';\n * \n * // Read and preprocess audio\n * const processor = await AutoProcessor.from_pretrained('Xenova/wavlm-base-plus-sv');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';\n * const audio = await read_audio(url, 16000);\n * const inputs = await processor(audio);\n * \n * // Run model with inputs\n * const model = await AutoModel.from_pretrained('Xenova/wavlm-base-plus-sv');\n * const outputs = await model(inputs);\n * // {\n * //   logits: Tensor {\n * //     dims: [ 1, 512 ],\n * //     type: 'float32',\n * //     data: Float32Array(512) [0.5847219228744507, ...],\n * //     size: 512\n * //   },\n * //   embeddings: Tensor {\n * //     dims: [ 1, 512 ],\n * //     type: 'float32',\n * //     data: Float32Array(512) [-0.09079201519489288, ...],\n * //     size: 512\n * //   }\n * // }\n * ```\n */\nexport class WavLMForXVector extends WavLMPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<XVectorOutput>} An object containing the model's output logits and speaker embeddings.\n     */\n    async _call(model_inputs) {\n        return new XVectorOutput(await super._call(model_inputs));\n    }\n}\n\n/**\n * WavLM Model with a frame classification head on top for tasks like Speaker Diarization.\n * \n * **Example:** Perform speaker diarization with `WavLMForAudioFrameClassification`.\n * ```javascript\n * import { AutoProcessor, AutoModelForAudioFrameClassification, read_audio } from '@xenova/transformers';\n * \n * // Read and preprocess audio\n * const processor = await AutoProcessor.from_pretrained('Xenova/wavlm-base-plus-sd');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';\n * const audio = await read_audio(url, 16000);\n * const inputs = await processor(audio);\n * \n * // Run model with inputs\n * const model = await AutoModelForAudioFrameClassification.from_pretrained('Xenova/wavlm-base-plus-sd');\n * const { logits } = await model(inputs);\n * // {\n * //   logits: Tensor {\n * //     dims: [ 1, 549, 2 ],  // [batch_size, num_frames, num_speakers]\n * //     type: 'float32',\n * //     data: Float32Array(1098) [-3.5301010608673096, ...],\n * //     size: 1098\n * //   }\n * // }\n * \n * const labels = logits[0].sigmoid().tolist().map(\n *     frames => frames.map(speaker => speaker > 0.5 ? 1 : 0)\n * );\n * console.log(labels); // labels is a one-hot array of shape (num_frames, num_speakers)\n * // [\n * //     [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0],\n * //     [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0],\n * //     [0, 0], [0, 1], [0, 1], [0, 1], [0, 1], [0, 1],\n * //     ...\n * // ]\n * ```\n */\nexport class WavLMForAudioFrameClassification extends WavLMPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for sequence classification.\n     */\n    async _call(model_inputs) {\n        return new TokenClassifierOutput(await super._call(model_inputs));\n    }\n}\n\n//////////////////////////////////////////////////\n// SpeechT5 models\n/**\n * An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained models.\n */\nexport class SpeechT5PreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare SpeechT5 Encoder-Decoder Model outputting raw hidden-states without any specific pre- or post-nets.\n */\nexport class SpeechT5Model extends SpeechT5PreTrainedModel { };\n\n/**\n * SpeechT5 Model with a speech encoder and a text decoder.\n * \n * **Example:** Generate speech from text with `SpeechT5ForSpeechToText`.\n * ```javascript\n * import { AutoTokenizer, AutoProcessor, SpeechT5ForTextToSpeech, SpeechT5HifiGan, Tensor } from '@xenova/transformers';\n * \n * // Load the tokenizer and processor\n * const tokenizer = await AutoTokenizer.from_pretrained('Xenova/speecht5_tts');\n * const processor = await AutoProcessor.from_pretrained('Xenova/speecht5_tts');\n * \n * // Load the models\n * // NOTE: We use the unquantized versions as they are more accurate\n * const model = await SpeechT5ForTextToSpeech.from_pretrained('Xenova/speecht5_tts', { quantized: false });\n * const vocoder = await SpeechT5HifiGan.from_pretrained('Xenova/speecht5_hifigan', { quantized: false });\n * \n * // Load speaker embeddings from URL\n * const speaker_embeddings_data = new Float32Array(\n *     await (await fetch('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/speaker_embeddings.bin')).arrayBuffer()\n * );\n * const speaker_embeddings = new Tensor(\n *     'float32',\n *     speaker_embeddings_data,\n *     [1, speaker_embeddings_data.length]\n * )\n * \n * // Run tokenization\n * const { input_ids } = tokenizer('Hello, my dog is cute');\n * \n * // Generate waveform\n * const { waveform } = await model.generate_speech(input_ids, speaker_embeddings, { vocoder });\n * console.log(waveform)\n * // Tensor {\n * //   dims: [ 26112 ],\n * //   type: 'float32',\n * //   size: 26112,\n * //   data: Float32Array(26112) [ -0.00043630177970044315, -0.00018082228780258447, ... ],\n * // }\n * ```\n */\nexport class SpeechT5ForSpeechToText extends SpeechT5PreTrainedModel { }\n\n/**\n * SpeechT5 Model with a text encoder and a speech decoder.\n */\nexport class SpeechT5ForTextToSpeech extends SpeechT5PreTrainedModel {\n\n    /**\n     * Creates a new instance of the `SpeechT5ForTextToSpeech` class.\n     * @param {Object} config The model configuration.\n     * @param {any} session session for the model.\n     * @param {any} decoder_merged_session session for the decoder.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, decoder_merged_session, generation_config) {\n        super(config, session);\n        this.decoder_merged_session = decoder_merged_session;\n        this.generation_config = generation_config;\n\n        this.num_decoder_layers = this.config.decoder_layers;\n        this.num_decoder_heads = this.config.decoder_attention_heads;\n        this.decoder_dim_kv = this.config.hidden_size / this.num_decoder_heads;\n\n        this.num_encoder_layers = this.config.encoder_layers;\n        this.num_encoder_heads = this.config.encoder_attention_heads;\n        this.encoder_dim_kv = this.config.hidden_size / this.num_encoder_heads;\n    }\n\n    /**\n     * @typedef {Object} SpeechOutput\n     * @property {Tensor} [spectrogram] The predicted log-mel spectrogram of shape\n     * `(output_sequence_length, config.num_mel_bins)`. Returned when no `vocoder` is provided\n     * @property {Tensor} [waveform] The predicted waveform of shape `(num_frames,)`. Returned when a `vocoder` is provided.\n     * @property {Tensor} [cross_attentions] The outputs of the decoder's cross-attention layers of shape\n     * `(config.decoder_layers, config.decoder_attention_heads, output_sequence_length, input_sequence_length)`. returned when `output_cross_attentions` is `true`.\n     */\n\n    /**\n     * Converts a sequence of input tokens into a sequence of mel spectrograms, which are subsequently turned into a speech waveform using a vocoder.\n     * @param {Tensor} input_values Indices of input sequence tokens in the vocabulary.\n     * @param {Tensor} speaker_embeddings Tensor containing the speaker embeddings.\n     * @param {Object} options Optional parameters for generating speech.\n     * @param {number} [options.threshold=0.5] The generated sequence ends when the predicted stop token probability exceeds this value.\n     * @param {number} [options.minlenratio=0.0] Used to calculate the minimum required length for the output sequence.\n     * @param {number} [options.maxlenratio=20.0] Used to calculate the maximum allowed length for the output sequence.\n     * @param {Object} [options.vocoder=null] The vocoder that converts the mel spectrogram into a speech waveform. If `null`, the output is the mel spectrogram.\n     * @param {boolean} [options.output_cross_attentions=false] Whether or not to return the attentions tensors of the decoder's cross-attention layers.\n     * @returns {Promise<SpeechOutput>} A promise which resolves to an object containing the spectrogram, waveform, and cross-attention tensors.\n     */\n    async generate_speech(input_values, speaker_embeddings, {\n        threshold = 0.5,\n        minlenratio = 0.0,\n        maxlenratio = 20.0,\n        vocoder = null,\n        // output_cross_attentions = false, // TODO add\n    } = {}) {\n\n        const model_inputs = {\n            input_ids: input_values\n        }\n\n        const { encoder_outputs, encoder_attention_mask } = await encoderForward(this, model_inputs);\n\n        const r = encoder_outputs.dims[1] / this.config.reduction_factor;\n        const maxlen = Math.floor(r * maxlenratio);\n        const minlen = Math.floor(r * minlenratio);\n\n        const num_mel_bins = this.config.num_mel_bins;\n\n        let spectrogramParts = [];\n        let past_key_values = null;\n        let decoder_outputs = null;\n        let idx = 0;\n\n        while (true) {\n            ++idx;\n\n            const use_cache_branch = boolTensor(!!decoder_outputs);\n            let output_sequence;\n            if (decoder_outputs) {\n                output_sequence = decoder_outputs.output_sequence_out;\n            } else {\n                output_sequence = new Tensor(\n                    'float32',\n                    new Float32Array(num_mel_bins),\n                    [1, 1, num_mel_bins],\n                )\n            }\n            let decoderFeeds = {\n                use_cache_branch,\n                output_sequence,\n                encoder_attention_mask: encoder_attention_mask,\n                speaker_embeddings: speaker_embeddings,\n                encoder_hidden_states: encoder_outputs,\n            };\n\n            this.addPastKeyValues(decoderFeeds, past_key_values);\n            decoder_outputs = await sessionRun(this.decoder_merged_session, decoderFeeds);\n            past_key_values = this.getPastKeyValues(decoder_outputs, past_key_values);\n\n            const { prob, spectrum } = decoder_outputs;\n            spectrogramParts.push(spectrum);\n\n            if (idx >= minlen && (\n                // Finished when stop token or maximum length is reached.\n                Array.from(prob.data).filter(p => p >= threshold).length > 0 || idx >= maxlen\n            )) {\n                break;\n            }\n        }\n\n        const spectrogram = cat(spectrogramParts);\n        const { waveform } = await sessionRun(vocoder.session, { spectrogram });\n\n        return {\n            spectrogram,\n            waveform,\n            // cross_attentions: null, // TODO add\n        }\n    }\n}\n\n/**\n * HiFi-GAN vocoder.\n * \n * See [SpeechT5ForSpeechToText](./models#module_models.SpeechT5ForSpeechToText) for example usage.\n */\nexport class SpeechT5HifiGan extends PreTrainedModel {\n    main_input_name = 'spectrogram';\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// TrOCR models\nexport class TrOCRPreTrainedModel extends PreTrainedModel {\n    /**\n     * Creates a new instance of the `TrOCRPreTrainedModel` class.\n     * @param {Object} config The configuration of the model.\n     * @param {any} session The ONNX session containing the model weights.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, generation_config) {\n        super(config, session);\n        this.generation_config = generation_config;\n\n        // config doesn't contain pad_token_id, so we assume it is the eos_token_id\n        this.config.pad_token_id = this.config.eos_token_id;\n\n        this.num_encoder_layers = this.num_decoder_layers = this.config.decoder_layers;\n        this.num_encoder_heads = this.num_decoder_heads = this.config.decoder_attention_heads;\n        this.encoder_dim_kv = this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads;\n    }\n}\n\n/**\n * The TrOCR Decoder with a language modeling head.\n */\nexport class TrOCRForCausalLM extends TrOCRPreTrainedModel { }\n\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Mistral models\n/**\n * The bare Mistral Model outputting raw hidden-states without any specific head on top.\n */\nexport class MistralPreTrainedModel extends PreTrainedModel {\n    /**\n     * Creates a new instance of the `MistralPreTrainedModel` class.\n     * @param {Object} config The configuration of the model.\n     * @param {any} session The ONNX session containing the model weights.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, generation_config) {\n        super(config, session);\n        this.generation_config = generation_config;\n\n        // config doesn't contain pad_token_id, so we assume it is the eos_token_id\n        this.config.pad_token_id = this.config.eos_token_id\n\n        this.num_heads = this.config.num_key_value_heads;\n        this.num_layers = this.config.num_hidden_layers;\n        this.dim_kv = this.config.hidden_size / this.config.num_attention_heads;\n    }\n}\n\nexport class MistralModel extends MistralPreTrainedModel { }\n\nexport class MistralForCausalLM extends MistralPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Starcoder2 models\n/**\n * The bare Starcoder2 Model outputting raw hidden-states without any specific head on top.\n */\nexport class Starcoder2PreTrainedModel extends PreTrainedModel {\n    /**\n     * Creates a new instance of the `Starcoder2PreTrainedModel` class.\n     * @param {Object} config The configuration of the model.\n     * @param {any} session The ONNX session containing the model weights.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, generation_config) {\n        super(config, session);\n        this.generation_config = generation_config;\n\n        // config doesn't contain pad_token_id, so we assume it is the eos_token_id\n        this.config.pad_token_id = this.config.eos_token_id\n\n        this.num_heads = this.config.num_key_value_heads;\n        this.num_layers = this.config.num_hidden_layers;\n        this.dim_kv = this.config.hidden_size / this.config.num_attention_heads;\n    }\n}\n\nexport class Starcoder2Model extends Starcoder2PreTrainedModel { }\n\nexport class Starcoder2ForCausalLM extends Starcoder2PreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Falcon models\n/**\n * The bare Falcon Model outputting raw hidden-states without any specific head on top.\n */\nexport class FalconPreTrainedModel extends PreTrainedModel {\n    /**\n     * Creates a new instance of the `FalconPreTrainedModel` class.\n     * @param {Object} config The configuration of the model.\n     * @param {any} session The ONNX session containing the model weights.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, generation_config) {\n        super(config, session);\n        this.generation_config = generation_config;\n\n        // config doesn't contain pad_token_id, so we assume it is the eos_token_id\n        this.config.pad_token_id = this.config.eos_token_id\n\n        this.num_heads = this.config.num_attention_heads;\n        this.num_layers = this.config.num_hidden_layers;\n        this.dim_kv = this.config.hidden_size / this.config.num_attention_heads;\n    }\n}\n\nexport class FalconModel extends FalconPreTrainedModel { }\n\nexport class FalconForCausalLM extends FalconPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// CLAP models\nexport class ClapPreTrainedModel extends PreTrainedModel { }\n\nexport class ClapModel extends ClapPreTrainedModel { }\n\n/**\n * CLAP Text Model with a projection layer on top (a linear layer on top of the pooled output).\n * \n * **Example:** Compute text embeddings with `ClapTextModelWithProjection`.\n * \n * ```javascript\n * import { AutoTokenizer, ClapTextModelWithProjection } from '@xenova/transformers';\n * \n * // Load tokenizer and text model\n * const tokenizer = await AutoTokenizer.from_pretrained('Xenova/clap-htsat-unfused');\n * const text_model = await ClapTextModelWithProjection.from_pretrained('Xenova/clap-htsat-unfused');\n * \n * // Run tokenization\n * const texts = ['a sound of a cat', 'a sound of a dog'];\n * const text_inputs = tokenizer(texts, { padding: true, truncation: true });\n * \n * // Compute embeddings\n * const { text_embeds } = await text_model(text_inputs);\n * // Tensor {\n * //   dims: [ 2, 512 ],\n * //   type: 'float32',\n * //   data: Float32Array(1024) [ ... ],\n * //   size: 1024\n * // }\n * ```\n */\nexport class ClapTextModelWithProjection extends ClapPreTrainedModel {\n\n    /** @type {PreTrainedModel.from_pretrained} */\n    static async from_pretrained(pretrained_model_name_or_path, options = {}) {\n        // Update default model file name if not provided\n        options.model_file_name ??= 'text_model';\n        return super.from_pretrained(pretrained_model_name_or_path, options);\n    }\n}\n\n/**\n * CLAP Audio Model with a projection layer on top (a linear layer on top of the pooled output).\n * \n * **Example:** Compute audio embeddings with `ClapAudioModelWithProjection`.\n * \n * ```javascript\n * import { AutoProcessor, ClapAudioModelWithProjection, read_audio } from '@xenova/transformers';\n * \n * // Load processor and audio model\n * const processor = await AutoProcessor.from_pretrained('Xenova/clap-htsat-unfused');\n * const audio_model = await ClapAudioModelWithProjection.from_pretrained('Xenova/clap-htsat-unfused');\n * \n * // Read audio and run processor\n * const audio = await read_audio('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cat_meow.wav');\n * const audio_inputs = await processor(audio);\n * \n * // Compute embeddings\n * const { audio_embeds } = await audio_model(audio_inputs);\n * // Tensor {\n * //   dims: [ 1, 512 ],\n * //   type: 'float32',\n * //   data: Float32Array(512) [ ... ],\n * //   size: 512\n * // }\n * ```\n */\nexport class ClapAudioModelWithProjection extends ClapPreTrainedModel {\n    /** @type {PreTrainedModel.from_pretrained} */\n    static async from_pretrained(pretrained_model_name_or_path, options = {}) {\n        // Update default model file name if not provided\n        options.model_file_name ??= 'audio_model';\n        return super.from_pretrained(pretrained_model_name_or_path, options);\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// VITS models\nexport class VitsPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The complete VITS model, for text-to-speech synthesis.\n * \n * **Example:** Generate speech from text with `VitsModel`.\n * ```javascript\n * import { AutoTokenizer, VitsModel } from '@xenova/transformers';\n * \n * // Load the tokenizer and model\n * const tokenizer = await AutoTokenizer.from_pretrained('Xenova/mms-tts-eng');\n * const model = await VitsModel.from_pretrained('Xenova/mms-tts-eng');\n * \n * // Run tokenization\n * const inputs = tokenizer('I love transformers');\n * \n * // Generate waveform\n * const { waveform } = await model(inputs);\n * // Tensor {\n * //   dims: [ 1, 35328 ],\n * //   type: 'float32',\n * //   data: Float32Array(35328) [ ... ],\n * //   size: 35328,\n * // }\n * ```\n */\nexport class VitsModel extends VitsPreTrainedModel {\n    /**\n     * Calls the model on new inputs.\n     * @param {Object} model_inputs The inputs to the model.\n     * @returns {Promise<VitsModelOutput>} The outputs for the VITS model.\n     */\n    async _call(model_inputs) {\n        return new VitsModelOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Segformer models\nexport class SegformerPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare SegFormer encoder (Mix-Transformer) outputting raw hidden-states without any specific head on top.\n */\nexport class SegformerModel extends SegformerPreTrainedModel { }\n\n/**\n * SegFormer Model transformer with an image classification head on top (a linear layer on top of the final hidden states) e.g. for ImageNet.\n */\nexport class SegformerForImageClassification extends SegformerPreTrainedModel { }\n\n/**\n * SegFormer Model transformer with an all-MLP decode head on top e.g. for ADE20k, CityScapes.\n */\nexport class SegformerForSemanticSegmentation extends SegformerPreTrainedModel { }\n\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// StableLm models\nexport class StableLmPreTrainedModel extends PreTrainedModel {\n    /**\n     * Creates a new instance of the `StableLmPreTrainedModel` class.\n     * @param {Object} config The configuration of the model.\n     * @param {any} session The ONNX session containing the model weights.\n     * @param {GenerationConfig} generation_config The generation configuration.\n     */\n    constructor(config, session, generation_config) {\n        super(config, session);\n        this.generation_config = generation_config;\n\n        // config doesn't contain pad_token_id, so we assume it is the eos_token_id\n        this.config.pad_token_id = this.config.eos_token_id\n\n        this.num_heads = this.config.num_attention_heads;\n        this.num_layers = this.config.num_hidden_layers;\n        this.dim_kv = this.config.hidden_size / this.num_heads;\n    }\n}\n\n/**\n * The bare StableLm Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class StableLmModel extends StableLmPreTrainedModel { }\n\n/**\n * StableLm Model with a `language modeling` head on top for Causal Language Modeling (with past).\n */\nexport class StableLmForCausalLM extends StableLmPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class EfficientNetPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare EfficientNet model outputting raw features without any specific head on top.\n */\nexport class EfficientNetModel extends EfficientNetPreTrainedModel { }\n\n/**\n * EfficientNet Model with an image classification head on top (a linear layer on top of the pooled features).\n */\nexport class EfficientNetForImageClassification extends EfficientNetPreTrainedModel {\n    /**\n     * @param {any} model_inputs\n     */\n    async _call(model_inputs) {\n        return new SequenceClassifierOutput(await super._call(model_inputs));\n    }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// AutoModels, used to simplify construction of PreTrainedModels\n// (uses config to instantiate correct class)\n\n/**\n * Base class of all AutoModels. Contains the `from_pretrained` function\n * which is used to instantiate pretrained models.\n */\nexport class PretrainedMixin {\n    /**\n     * Mapping from model type to model class.\n     * @type {Map<string, Object>[]}\n     */\n    static MODEL_CLASS_MAPPINGS = null;\n\n    /**\n     * Whether to attempt to instantiate the base class (`PretrainedModel`) if \n     * the model type is not found in the mapping.\n     */\n    static BASE_IF_FAIL = false;\n\n\n    /** @type {PreTrainedModel.from_pretrained} */\n    static async from_pretrained(pretrained_model_name_or_path, {\n        quantized = true,\n        progress_callback = null,\n        config = null,\n        cache_dir = null,\n        local_files_only = false,\n        revision = 'main',\n        model_file_name = null,\n    } = {}) {\n\n        let options = {\n            quantized,\n            progress_callback,\n            config,\n            cache_dir,\n            local_files_only,\n            revision,\n            model_file_name,\n        }\n        config = await AutoConfig.from_pretrained(pretrained_model_name_or_path, options);\n        if (!options.config) {\n            // If no config was passed, reuse this config for future processing\n            options.config = config;\n        }\n\n        if (!this.MODEL_CLASS_MAPPINGS) {\n            throw new Error(\"`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: \" + this.name);\n        }\n\n        for (let MODEL_CLASS_MAPPING of this.MODEL_CLASS_MAPPINGS) {\n            const modelInfo = MODEL_CLASS_MAPPING.get(config.model_type);\n            if (!modelInfo) {\n                continue; // Item not found in this mapping\n            }\n            return await modelInfo[1].from_pretrained(pretrained_model_name_or_path, options);\n        }\n\n        if (this.BASE_IF_FAIL) {\n            console.warn(`Unknown model class \"${config.model_type}\", attempting to construct from base class.`);\n            return await PreTrainedModel.from_pretrained(pretrained_model_name_or_path, options);\n        } else {\n            throw Error(`Unsupported model type: ${config.model_type}`)\n        }\n    }\n}\n\nconst MODEL_MAPPING_NAMES_ENCODER_ONLY = new Map([\n    ['bert', ['BertModel', BertModel]],\n    ['nomic_bert', ['NomicBertModel', NomicBertModel]],\n    ['roformer', ['RoFormerModel', RoFormerModel]],\n    ['electra', ['ElectraModel', ElectraModel]],\n    ['esm', ['EsmModel', EsmModel]],\n    ['convbert', ['ConvBertModel', ConvBertModel]],\n    ['camembert', ['CamembertModel', CamembertModel]],\n    ['deberta', ['DebertaModel', DebertaModel]],\n    ['deberta-v2', ['DebertaV2Model', DebertaV2Model]],\n    ['mpnet', ['MPNetModel', MPNetModel]],\n    ['albert', ['AlbertModel', AlbertModel]],\n    ['distilbert', ['DistilBertModel', DistilBertModel]],\n    ['roberta', ['RobertaModel', RobertaModel]],\n    ['xlm', ['XLMModel', XLMModel]],\n    ['xlm-roberta', ['XLMRobertaModel', XLMRobertaModel]],\n    ['clap', ['ClapModel', ClapModel]],\n    ['clip', ['CLIPModel', CLIPModel]],\n    ['clipseg', ['CLIPSegModel', CLIPSegModel]],\n    ['chinese_clip', ['ChineseCLIPModel', ChineseCLIPModel]],\n    ['siglip', ['SiglipModel', SiglipModel]],\n    ['mobilebert', ['MobileBertModel', MobileBertModel]],\n    ['squeezebert', ['SqueezeBertModel', SqueezeBertModel]],\n    ['wav2vec2', ['Wav2Vec2Model', Wav2Vec2Model]],\n    ['wav2vec2-bert', ['Wav2Vec2BertModel', Wav2Vec2BertModel]],\n    ['unispeech', ['UniSpeechModel', UniSpeechModel]],\n    ['unispeech-sat', ['UniSpeechSatModel', UniSpeechSatModel]],\n    ['hubert', ['HubertModel', HubertModel]],\n    ['wavlm', ['WavLMModel', WavLMModel]],\n    ['audio-spectrogram-transformer', ['ASTModel', ASTModel]],\n    ['vits', ['VitsModel', VitsModel]],\n\n    ['detr', ['DetrModel', DetrModel]],\n    ['table-transformer', ['TableTransformerModel', TableTransformerModel]],\n    ['vit', ['ViTModel', ViTModel]],\n    ['fastvit', ['FastViTModel', FastViTModel]],\n    ['mobilevit', ['MobileViTModel', MobileViTModel]],\n    ['mobilevitv2', ['MobileViTV2Model', MobileViTV2Model]],\n    ['owlvit', ['OwlViTModel', OwlViTModel]],\n    ['owlv2', ['Owlv2Model', Owlv2Model]],\n    ['beit', ['BeitModel', BeitModel]],\n    ['deit', ['DeiTModel', DeiTModel]],\n    ['convnext', ['ConvNextModel', ConvNextModel]],\n    ['convnextv2', ['ConvNextV2Model', ConvNextV2Model]],\n    ['dinov2', ['Dinov2Model', Dinov2Model]],\n    ['resnet', ['ResNetModel', ResNetModel]],\n    ['swin', ['SwinModel', SwinModel]],\n    ['swin2sr', ['Swin2SRModel', Swin2SRModel]],\n    ['donut-swin', ['DonutSwinModel', DonutSwinModel]],\n    ['yolos', ['YolosModel', YolosModel]],\n    ['dpt', ['DPTModel', DPTModel]],\n    ['glpn', ['GLPNModel', GLPNModel]],\n\n    ['hifigan', ['SpeechT5HifiGan', SpeechT5HifiGan]],\n    ['efficientnet', ['EfficientNetModel', EfficientNetModel]],\n\n]);\n\nconst MODEL_MAPPING_NAMES_ENCODER_DECODER = new Map([\n    ['t5', ['T5Model', T5Model]],\n    ['longt5', ['LongT5Model', LongT5Model]],\n    ['mt5', ['MT5Model', MT5Model]],\n    ['bart', ['BartModel', BartModel]],\n    ['mbart', ['MBartModel', MBartModel]],\n    ['marian', ['MarianModel', MarianModel]],\n    ['whisper', ['WhisperModel', WhisperModel]],\n    ['m2m_100', ['M2M100Model', M2M100Model]],\n    ['blenderbot', ['BlenderbotModel', BlenderbotModel]],\n    ['blenderbot-small', ['BlenderbotSmallModel', BlenderbotSmallModel]],\n]);\n\n\nconst MODEL_MAPPING_NAMES_DECODER_ONLY = new Map([\n    ['bloom', ['BloomModel', BloomModel]],\n    ['gpt2', ['GPT2Model', GPT2Model]],\n    ['gptj', ['GPTJModel', GPTJModel]],\n    ['gpt_bigcode', ['GPTBigCodeModel', GPTBigCodeModel]],\n    ['gpt_neo', ['GPTNeoModel', GPTNeoModel]],\n    ['gpt_neox', ['GPTNeoXModel', GPTNeoXModel]],\n    ['codegen', ['CodeGenModel', CodeGenModel]],\n    ['llama', ['LlamaModel', LlamaModel]],\n    ['qwen2', ['Qwen2Model', Qwen2Model]],\n    ['phi', ['PhiModel', PhiModel]],\n    ['mpt', ['MptModel', MptModel]],\n    ['opt', ['OPTModel', OPTModel]],\n    ['mistral', ['MistralModel', MistralModel]],\n    ['starcoder2', ['Starcoder2Model', Starcoder2Model]],\n    ['falcon', ['FalconModel', FalconModel]],\n]);\n\nconst MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES = new Map([\n    ['speecht5', ['SpeechT5ForSpeechToText', SpeechT5ForSpeechToText]],\n    ['whisper', ['WhisperForConditionalGeneration', WhisperForConditionalGeneration]],\n]);\n\nconst MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES = new Map([\n    ['speecht5', ['SpeechT5ForTextToSpeech', SpeechT5ForTextToSpeech]],\n]);\n\nconst MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES = new Map([\n    ['vits', ['VitsModel', VitsModel]],\n]);\n\nconst MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES = new Map([\n    ['bert', ['BertForSequenceClassification', BertForSequenceClassification]],\n    ['roformer', ['RoFormerForSequenceClassification', RoFormerForSequenceClassification]],\n    ['electra', ['ElectraForSequenceClassification', ElectraForSequenceClassification]],\n    ['esm', ['EsmForSequenceClassification', EsmForSequenceClassification]],\n    ['convbert', ['ConvBertForSequenceClassification', ConvBertForSequenceClassification]],\n    ['camembert', ['CamembertForSequenceClassification', CamembertForSequenceClassification]],\n    ['deberta', ['DebertaForSequenceClassification', DebertaForSequenceClassification]],\n    ['deberta-v2', ['DebertaV2ForSequenceClassification', DebertaV2ForSequenceClassification]],\n    ['mpnet', ['MPNetForSequenceClassification', MPNetForSequenceClassification]],\n    ['albert', ['AlbertForSequenceClassification', AlbertForSequenceClassification]],\n    ['distilbert', ['DistilBertForSequenceClassification', DistilBertForSequenceClassification]],\n    ['roberta', ['RobertaForSequenceClassification', RobertaForSequenceClassification]],\n    ['xlm', ['XLMForSequenceClassification', XLMForSequenceClassification]],\n    ['xlm-roberta', ['XLMRobertaForSequenceClassification', XLMRobertaForSequenceClassification]],\n    ['bart', ['BartForSequenceClassification', BartForSequenceClassification]],\n    ['mbart', ['MBartForSequenceClassification', MBartForSequenceClassification]],\n    ['mobilebert', ['MobileBertForSequenceClassification', MobileBertForSequenceClassification]],\n    ['squeezebert', ['SqueezeBertForSequenceClassification', SqueezeBertForSequenceClassification]],\n]);\n\nconst MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES = new Map([\n    ['bert', ['BertForTokenClassification', BertForTokenClassification]],\n    ['roformer', ['RoFormerForTokenClassification', RoFormerForTokenClassification]],\n    ['electra', ['ElectraForTokenClassification', ElectraForTokenClassification]],\n    ['esm', ['EsmForTokenClassification', EsmForTokenClassification]],\n    ['convbert', ['ConvBertForTokenClassification', ConvBertForTokenClassification]],\n    ['camembert', ['CamembertForTokenClassification', CamembertForTokenClassification]],\n    ['deberta', ['DebertaForTokenClassification', DebertaForTokenClassification]],\n    ['deberta-v2', ['DebertaV2ForTokenClassification', DebertaV2ForTokenClassification]],\n    ['mpnet', ['MPNetForTokenClassification', MPNetForTokenClassification]],\n    ['distilbert', ['DistilBertForTokenClassification', DistilBertForTokenClassification]],\n    ['roberta', ['RobertaForTokenClassification', RobertaForTokenClassification]],\n    ['xlm', ['XLMForTokenClassification', XLMForTokenClassification]],\n    ['xlm-roberta', ['XLMRobertaForTokenClassification', XLMRobertaForTokenClassification]],\n]);\n\nconst MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES = new Map([\n    ['t5', ['T5ForConditionalGeneration', T5ForConditionalGeneration]],\n    ['longt5', ['LongT5ForConditionalGeneration', LongT5ForConditionalGeneration]],\n    ['mt5', ['MT5ForConditionalGeneration', MT5ForConditionalGeneration]],\n    ['bart', ['BartForConditionalGeneration', BartForConditionalGeneration]],\n    ['mbart', ['MBartForConditionalGeneration', MBartForConditionalGeneration]],\n    ['marian', ['MarianMTModel', MarianMTModel]],\n    ['m2m_100', ['M2M100ForConditionalGeneration', M2M100ForConditionalGeneration]],\n    ['blenderbot', ['BlenderbotForConditionalGeneration', BlenderbotForConditionalGeneration]],\n    ['blenderbot-small', ['BlenderbotSmallForConditionalGeneration', BlenderbotSmallForConditionalGeneration]],\n]);\n\nconst MODEL_WITH_LM_HEAD_MAPPING_NAMES = new Map([\n    ['bloom', ['BloomForCausalLM', BloomForCausalLM]],\n    ['gpt2', ['GPT2LMHeadModel', GPT2LMHeadModel]],\n    ['gptj', ['GPTJForCausalLM', GPTJForCausalLM]],\n    ['gpt_bigcode', ['GPTBigCodeForCausalLM', GPTBigCodeForCausalLM]],\n    ['gpt_neo', ['GPTNeoForCausalLM', GPTNeoForCausalLM]],\n    ['gpt_neox', ['GPTNeoXForCausalLM', GPTNeoXForCausalLM]],\n    ['codegen', ['CodeGenForCausalLM', CodeGenForCausalLM]],\n    ['llama', ['LlamaForCausalLM', LlamaForCausalLM]],\n    ['qwen2', ['Qwen2ForCausalLM', Qwen2ForCausalLM]],\n    ['phi', ['PhiForCausalLM', PhiForCausalLM]],\n    ['mpt', ['MptForCausalLM', MptForCausalLM]],\n    ['opt', ['OPTForCausalLM', OPTForCausalLM]],\n    ['mbart', ['MBartForCausalLM', MBartForCausalLM]],\n    ['mistral', ['MistralForCausalLM', MistralForCausalLM]],\n    ['starcoder2', ['Starcoder2ForCausalLM', Starcoder2ForCausalLM]],\n    ['falcon', ['FalconForCausalLM', FalconForCausalLM]],\n    ['trocr', ['TrOCRForCausalLM', TrOCRForCausalLM]],\n    ['stablelm', ['StableLmForCausalLM', StableLmForCausalLM]],\n]);\n\nconst MODEL_FOR_MASKED_LM_MAPPING_NAMES = new Map([\n    ['bert', ['BertForMaskedLM', BertForMaskedLM]],\n    ['roformer', ['RoFormerForMaskedLM', RoFormerForMaskedLM]],\n    ['electra', ['ElectraForMaskedLM', ElectraForMaskedLM]],\n    ['esm', ['EsmForMaskedLM', EsmForMaskedLM]],\n    ['convbert', ['ConvBertForMaskedLM', ConvBertForMaskedLM]],\n    ['camembert', ['CamembertForMaskedLM', CamembertForMaskedLM]],\n    ['deberta', ['DebertaForMaskedLM', DebertaForMaskedLM]],\n    ['deberta-v2', ['DebertaV2ForMaskedLM', DebertaV2ForMaskedLM]],\n    ['mpnet', ['MPNetForMaskedLM', MPNetForMaskedLM]],\n    ['albert', ['AlbertForMaskedLM', AlbertForMaskedLM]],\n    ['distilbert', ['DistilBertForMaskedLM', DistilBertForMaskedLM]],\n    ['roberta', ['RobertaForMaskedLM', RobertaForMaskedLM]],\n    ['xlm', ['XLMWithLMHeadModel', XLMWithLMHeadModel]],\n    ['xlm-roberta', ['XLMRobertaForMaskedLM', XLMRobertaForMaskedLM]],\n    ['mobilebert', ['MobileBertForMaskedLM', MobileBertForMaskedLM]],\n    ['squeezebert', ['SqueezeBertForMaskedLM', SqueezeBertForMaskedLM]],\n]);\n\nconst MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES = new Map([\n    ['bert', ['BertForQuestionAnswering', BertForQuestionAnswering]],\n    ['roformer', ['RoFormerForQuestionAnswering', RoFormerForQuestionAnswering]],\n    ['electra', ['ElectraForQuestionAnswering', ElectraForQuestionAnswering]],\n    ['convbert', ['ConvBertForQuestionAnswering', ConvBertForQuestionAnswering]],\n    ['camembert', ['CamembertForQuestionAnswering', CamembertForQuestionAnswering]],\n    ['deberta', ['DebertaForQuestionAnswering', DebertaForQuestionAnswering]],\n    ['deberta-v2', ['DebertaV2ForQuestionAnswering', DebertaV2ForQuestionAnswering]],\n    ['mpnet', ['MPNetForQuestionAnswering', MPNetForQuestionAnswering]],\n    ['albert', ['AlbertForQuestionAnswering', AlbertForQuestionAnswering]],\n    ['distilbert', ['DistilBertForQuestionAnswering', DistilBertForQuestionAnswering]],\n    ['roberta', ['RobertaForQuestionAnswering', RobertaForQuestionAnswering]],\n    ['xlm', ['XLMForQuestionAnswering', XLMForQuestionAnswering]],\n    ['xlm-roberta', ['XLMRobertaForQuestionAnswering', XLMRobertaForQuestionAnswering]],\n    ['mobilebert', ['MobileBertForQuestionAnswering', MobileBertForQuestionAnswering]],\n    ['squeezebert', ['SqueezeBertForQuestionAnswering', SqueezeBertForQuestionAnswering]],\n]);\n\nconst MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES = new Map([\n    ['vision-encoder-decoder', ['VisionEncoderDecoderModel', VisionEncoderDecoderModel]],\n]);\n\nconst MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES = new Map([\n    ['vision-encoder-decoder', ['VisionEncoderDecoderModel', VisionEncoderDecoderModel]],\n]);\n\nconst MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES = new Map([\n    ['vit', ['ViTForImageClassification', ViTForImageClassification]],\n    ['fastvit', ['FastViTForImageClassification', FastViTForImageClassification]],\n    ['mobilevit', ['MobileViTForImageClassification', MobileViTForImageClassification]],\n    ['mobilevitv2', ['MobileViTV2ForImageClassification', MobileViTV2ForImageClassification]],\n    ['beit', ['BeitForImageClassification', BeitForImageClassification]],\n    ['deit', ['DeiTForImageClassification', DeiTForImageClassification]],\n    ['convnext', ['ConvNextForImageClassification', ConvNextForImageClassification]],\n    ['convnextv2', ['ConvNextV2ForImageClassification', ConvNextV2ForImageClassification]],\n    ['dinov2', ['Dinov2ForImageClassification', Dinov2ForImageClassification]],\n    ['resnet', ['ResNetForImageClassification', ResNetForImageClassification]],\n    ['swin', ['SwinForImageClassification', SwinForImageClassification]],\n    ['segformer', ['SegformerForImageClassification', SegformerForImageClassification]],\n    ['efficientnet', ['EfficientNetForImageClassification', EfficientNetForImageClassification]],\n]);\n\nconst MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES = new Map([\n    ['detr', ['DetrForObjectDetection', DetrForObjectDetection]],\n    ['table-transformer', ['TableTransformerForObjectDetection', TableTransformerForObjectDetection]],\n    ['yolos', ['YolosForObjectDetection', YolosForObjectDetection]],\n]);\n\nconst MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES = new Map([\n    ['owlvit', ['OwlViTForObjectDetection', OwlViTForObjectDetection]],\n    ['owlv2', ['Owlv2ForObjectDetection', Owlv2ForObjectDetection]],\n]);\n\nconst MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES = new Map([\n    ['detr', ['DetrForSegmentation', DetrForSegmentation]],\n    ['clipseg', ['CLIPSegForImageSegmentation', CLIPSegForImageSegmentation]],\n]);\n\nconst MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES = new Map([\n    ['segformer', ['SegformerForSemanticSegmentation', SegformerForSemanticSegmentation]],\n]);\n\nconst MODEL_FOR_MASK_GENERATION_MAPPING_NAMES = new Map([\n    ['sam', ['SamModel', SamModel]],\n]);\n\nconst MODEL_FOR_CTC_MAPPING_NAMES = new Map([\n    ['wav2vec2', ['Wav2Vec2ForCTC', Wav2Vec2ForCTC]],\n    ['wav2vec2-bert', ['Wav2Vec2BertForCTC', Wav2Vec2BertForCTC]],\n    ['unispeech', ['UniSpeechForCTC', UniSpeechForCTC]],\n    ['unispeech-sat', ['UniSpeechSatForCTC', UniSpeechSatForCTC]],\n    ['wavlm', ['WavLMForCTC', WavLMForCTC]],\n    ['hubert', ['HubertForCTC', HubertForCTC]],\n]);\n\nconst MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES = new Map([\n    ['wav2vec2', ['Wav2Vec2ForSequenceClassification', Wav2Vec2ForSequenceClassification]],\n    ['wav2vec2-bert', ['Wav2Vec2BertForSequenceClassification', Wav2Vec2BertForSequenceClassification]],\n    ['unispeech', ['UniSpeechForSequenceClassification', UniSpeechForSequenceClassification]],\n    ['unispeech-sat', ['UniSpeechSatForSequenceClassification', UniSpeechSatForSequenceClassification]],\n    ['wavlm', ['WavLMForSequenceClassification', WavLMForSequenceClassification]],\n    ['hubert', ['HubertForSequenceClassification', HubertForSequenceClassification]],\n    ['audio-spectrogram-transformer', ['ASTForAudioClassification', ASTForAudioClassification]],\n]);\n\nconst MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES = new Map([\n    ['wavlm', ['WavLMForXVector', WavLMForXVector]],\n]);\n\nconst MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES = new Map([\n    ['unispeech-sat', ['UniSpeechSatForAudioFrameClassification', UniSpeechSatForAudioFrameClassification]],\n    ['wavlm', ['WavLMForAudioFrameClassification', WavLMForAudioFrameClassification]],\n    ['wav2vec2', ['Wav2Vec2ForAudioFrameClassification', Wav2Vec2ForAudioFrameClassification]],\n]);\n\nconst MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES = new Map([\n    ['vitmatte', ['VitMatteForImageMatting', VitMatteForImageMatting]],\n]);\n\nconst MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES = new Map([\n    ['swin2sr', ['Swin2SRForImageSuperResolution', Swin2SRForImageSuperResolution]],\n])\n\nconst MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES = new Map([\n    ['dpt', ['DPTForDepthEstimation', DPTForDepthEstimation]],\n    ['depth_anything', ['DepthAnythingForDepthEstimation', DepthAnythingForDepthEstimation]],\n    ['glpn', ['GLPNForDepthEstimation', GLPNForDepthEstimation]],\n])\n\n// NOTE: This is custom to Transformers.js, and is necessary because certain models\n// (e.g., CLIP) are split into vision and text components\nconst MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES = new Map([\n    ['clip', ['CLIPVisionModelWithProjection', CLIPVisionModelWithProjection]],\n    ['siglip', ['SiglipVisionModel', SiglipVisionModel]],\n])\n\nconst MODEL_CLASS_TYPE_MAPPING = [\n    [MODEL_MAPPING_NAMES_ENCODER_ONLY, MODEL_TYPES.EncoderOnly],\n    [MODEL_MAPPING_NAMES_ENCODER_DECODER, MODEL_TYPES.EncoderDecoder],\n    [MODEL_MAPPING_NAMES_DECODER_ONLY, MODEL_TYPES.DecoderOnly],\n    [MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n    [MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n    [MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES, MODEL_TYPES.Seq2Seq],\n    [MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES, MODEL_TYPES.Seq2Seq],\n    [MODEL_WITH_LM_HEAD_MAPPING_NAMES, MODEL_TYPES.DecoderOnly],\n    [MODEL_FOR_MASKED_LM_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n    [MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n    [MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES, MODEL_TYPES.Vision2Seq],\n    [MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n    [MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n    [MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n    [MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n    [MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n    [MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n    [MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n    [MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n    [MODEL_FOR_MASK_GENERATION_MAPPING_NAMES, MODEL_TYPES.MaskGeneration],\n    [MODEL_FOR_CTC_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n    [MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n    [MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES, MODEL_TYPES.Seq2Seq],\n    [MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n    [MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n    [MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n\n    // Custom:\n    [MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n];\n\nfor (const [mappings, type] of MODEL_CLASS_TYPE_MAPPING) {\n    // @ts-ignore\n    for (const [name, model] of mappings.values()) {\n        MODEL_TYPE_MAPPING.set(name, type);\n        MODEL_CLASS_TO_NAME_MAPPING.set(model, name);\n        MODEL_NAME_TO_CLASS_MAPPING.set(name, model);\n    }\n}\n\nconst CUSTOM_MAPPING = [\n    ['CLIPTextModelWithProjection', CLIPTextModelWithProjection, MODEL_TYPES.EncoderOnly],\n    ['SiglipTextModel', SiglipTextModel, MODEL_TYPES.EncoderOnly],\n    ['ClapTextModelWithProjection', ClapTextModelWithProjection, MODEL_TYPES.EncoderOnly],\n    ['ClapAudioModelWithProjection', ClapAudioModelWithProjection, MODEL_TYPES.EncoderOnly],\n]\nfor (const [name, model, type] of CUSTOM_MAPPING) {\n    MODEL_TYPE_MAPPING.set(name, type);\n    MODEL_CLASS_TO_NAME_MAPPING.set(model, name);\n    MODEL_NAME_TO_CLASS_MAPPING.set(name, model);\n}\n\n\n/**\n * Helper class which is used to instantiate pretrained models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModel.from_pretrained('bert-base-uncased');\n */\nexport class AutoModel extends PretrainedMixin {\n    /** @type {Map<string, Object>[]} */\n    // @ts-ignore\n    static MODEL_CLASS_MAPPINGS = MODEL_CLASS_TYPE_MAPPING.map(x => x[0]);\n    static BASE_IF_FAIL = true;\n}\n\n/**\n * Helper class which is used to instantiate pretrained sequence classification models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForSequenceClassification.from_pretrained('distilbert-base-uncased-finetuned-sst-2-english');\n */\nexport class AutoModelForSequenceClassification extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained token classification models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForTokenClassification.from_pretrained('Davlan/distilbert-base-multilingual-cased-ner-hrl');\n */\nexport class AutoModelForTokenClassification extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained sequence-to-sequence models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForSeq2SeqLM.from_pretrained('t5-small');\n */\nexport class AutoModelForSeq2SeqLM extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained sequence-to-sequence speech-to-text models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForSpeechSeq2Seq.from_pretrained('openai/whisper-tiny.en');\n */\nexport class AutoModelForSpeechSeq2Seq extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained sequence-to-sequence text-to-spectrogram models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForTextToSpectrogram.from_pretrained('microsoft/speecht5_tts');\n */\nexport class AutoModelForTextToSpectrogram extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained text-to-waveform models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForTextToSpectrogram.from_pretrained('facebook/mms-tts-eng');\n */\nexport class AutoModelForTextToWaveform extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained causal language models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForCausalLM.from_pretrained('gpt2');\n */\nexport class AutoModelForCausalLM extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_WITH_LM_HEAD_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained masked language models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForMaskedLM.from_pretrained('bert-base-uncased');\n */\nexport class AutoModelForMaskedLM extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_MASKED_LM_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained question answering models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForQuestionAnswering.from_pretrained('distilbert-base-cased-distilled-squad');\n */\nexport class AutoModelForQuestionAnswering extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained vision-to-sequence models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForVision2Seq.from_pretrained('nlpconnect/vit-gpt2-image-captioning');\n */\nexport class AutoModelForVision2Seq extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained image classification models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForImageClassification.from_pretrained('google/vit-base-patch16-224');\n */\nexport class AutoModelForImageClassification extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained image segmentation models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForImageSegmentation.from_pretrained('facebook/detr-resnet-50-panoptic');\n */\nexport class AutoModelForImageSegmentation extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained image segmentation models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForSemanticSegmentation.from_pretrained('nvidia/segformer-b3-finetuned-cityscapes-1024-1024');\n */\nexport class AutoModelForSemanticSegmentation extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained object detection models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForObjectDetection.from_pretrained('facebook/detr-resnet-50');\n */\nexport class AutoModelForObjectDetection extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES];\n}\n\nexport class AutoModelForZeroShotObjectDetection extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES];\n}\n\n\n/**\n * Helper class which is used to instantiate pretrained mask generation models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForMaskGeneration.from_pretrained('Xenova/sam-vit-base');\n */\nexport class AutoModelForMaskGeneration extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_MASK_GENERATION_MAPPING_NAMES];\n}\n\nexport class AutoModelForCTC extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_CTC_MAPPING_NAMES];\n}\n\nexport class AutoModelForAudioClassification extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES];\n}\n\nexport class AutoModelForXVector extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES];\n}\n\nexport class AutoModelForAudioFrameClassification extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES];\n}\n\nexport class AutoModelForDocumentQuestionAnswering extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES];\n}\n\nexport class AutoModelForImageMatting extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES];\n}\n\nexport class AutoModelForImageToImage extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES];\n}\n\nexport class AutoModelForDepthEstimation extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES];\n}\n\nexport class AutoModelForImageFeatureExtraction extends PretrainedMixin {\n    static MODEL_CLASS_MAPPINGS = [MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES];\n}\n\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class Seq2SeqLMOutput extends ModelOutput {\n    /**\n     * @param {Object} output The output of the model.\n     * @param {Tensor} output.logits The output logits of the model.\n     * @param {Tensor} output.past_key_values An tensor of key/value pairs that represent the previous state of the model.\n     * @param {Tensor} output.encoder_outputs The output of the encoder in a sequence-to-sequence model.\n     * @param {Tensor} [output.decoder_attentions] Attentions weights of the decoder, after the attention softmax, used to compute the weighted average in the self-attention heads.\n     * @param {Tensor} [output.cross_attentions] Attentions weights of the decoder's cross-attention layer, after the attention softmax, used to compute the weighted average in the cross-attention heads.\n     */\n    constructor({ logits, past_key_values, encoder_outputs, decoder_attentions = null, cross_attentions = null }) {\n        super();\n        this.logits = logits;\n        this.past_key_values = past_key_values;\n        this.encoder_outputs = encoder_outputs;\n        this.decoder_attentions = decoder_attentions;\n        this.cross_attentions = cross_attentions;\n    }\n}\n\n/**\n * Base class for outputs of sentence classification models.\n */\nexport class SequenceClassifierOutput extends ModelOutput {\n    /**\n     * @param {Object} output The output of the model.\n     * @param {Tensor} output.logits classification (or regression if config.num_labels==1) scores (before SoftMax).\n     */\n    constructor({ logits }) {\n        super();\n        this.logits = logits;\n    }\n}\n\n/**\n * Base class for outputs of XVector models.\n */\nexport class XVectorOutput extends ModelOutput {\n    /**\n     * @param {Object} output The output of the model.\n     * @param {Tensor} output.logits Classification hidden states before AMSoftmax, of shape `(batch_size, config.xvector_output_dim)`.\n     * @param {Tensor} output.embeddings Utterance embeddings used for vector similarity-based retrieval, of shape `(batch_size, config.xvector_output_dim)`.\n     */\n    constructor({ logits, embeddings }) {\n        super();\n        this.logits = logits;\n        this.embeddings = embeddings;\n    }\n}\n\n/**\n * Base class for outputs of token classification models.\n */\nexport class TokenClassifierOutput extends ModelOutput {\n    /**\n     * @param {Object} output The output of the model.\n     * @param {Tensor} output.logits Classification scores (before SoftMax).\n     */\n    constructor({ logits }) {\n        super();\n        this.logits = logits;\n    }\n}\n\n/**\n * Base class for masked language models outputs.\n */\nexport class MaskedLMOutput extends ModelOutput {\n    /**\n     * @param {Object} output The output of the model.\n     * @param {Tensor} output.logits Prediction scores of the language modeling head (scores for each vocabulary token before SoftMax).\n     */\n    constructor({ logits }) {\n        super();\n        this.logits = logits;\n    }\n}\n\n/**\n * Base class for outputs of question answering models.\n */\nexport class QuestionAnsweringModelOutput extends ModelOutput {\n    /**\n     * @param {Object} output The output of the model.\n     * @param {Tensor} output.start_logits Span-start scores (before SoftMax).\n     * @param {Tensor} output.end_logits Span-end scores (before SoftMax).\n     */\n    constructor({ start_logits, end_logits }) {\n        super();\n        this.start_logits = start_logits;\n        this.end_logits = end_logits;\n    }\n}\n\n\n/**\n * Base class for causal language model (or autoregressive) outputs.\n */\nexport class CausalLMOutput extends ModelOutput {\n    /**\n     * @param {Object} output The output of the model.\n     * @param {Tensor} output.logits Prediction scores of the language modeling head (scores for each vocabulary token before softmax).\n     */\n    constructor({ logits }) {\n        super();\n        this.logits = logits;\n    }\n}\n\n/**\n * Base class for causal language model (or autoregressive) outputs.\n */\nexport class CausalLMOutputWithPast extends ModelOutput {\n    /**\n     * @param {Object} output The output of the model.\n     * @param {Tensor} output.logits Prediction scores of the language modeling head (scores for each vocabulary token before softmax).\n     * @param {Tensor} output.past_key_values Contains pre-computed hidden-states (key and values in the self-attention blocks)\n     * that can be used (see `past_key_values` input) to speed up sequential decoding.\n     */\n    constructor({ logits, past_key_values }) {\n        super();\n        this.logits = logits;\n        this.past_key_values = past_key_values;\n    }\n}\n\nexport class ImageMattingOutput extends ModelOutput {\n    /**\n     * @param {Object} output The output of the model.\n     * @param {Tensor} output.alphas Estimated alpha values, of shape `(batch_size, num_channels, height, width)`.\n     */\n    constructor({ alphas }) {\n        super();\n        this.alphas = alphas;\n    }\n}\n\n/**\n * Describes the outputs for the VITS model.\n */\nexport class VitsModelOutput extends ModelOutput {\n    /**\n     * @param {Object} output The output of the model.\n     * @param {Tensor} output.waveform The final audio waveform predicted by the model, of shape `(batch_size, sequence_length)`.\n     * @param {Tensor} output.spectrogram The log-mel spectrogram predicted at the output of the flow model.\n     * This spectrogram is passed to the Hi-Fi GAN decoder model to obtain the final audio waveform.\n     */\n    constructor({ waveform, spectrogram }) {\n        super();\n        this.waveform = waveform;\n        this.spectrogram = spectrogram;\n    }\n}\n","\n/**\n * @file Helper module for image processing. \n * \n * These functions and classes are only used internally, \n * meaning an end-user shouldn't need to access anything here.\n * \n * @module utils/image\n */\n\nimport { getFile } from './hub.js';\nimport { env } from '../env.js';\nimport { Tensor } from './tensor.js';\n\n// Will be empty (or not used) if running in browser or web-worker\nimport sharp from 'sharp';\n\nconst BROWSER_ENV = typeof self !== 'undefined';\nconst WEBWORKER_ENV = BROWSER_ENV && self.constructor.name === 'DedicatedWorkerGlobalScope';\n\nlet createCanvasFunction;\nlet ImageDataClass;\nlet loadImageFunction;\nif (BROWSER_ENV) {\n    // Running in browser or web-worker\n    createCanvasFunction = (/** @type {number} */ width, /** @type {number} */ height) => {\n        if (!self.OffscreenCanvas) {\n            throw new Error('OffscreenCanvas not supported by this browser.');\n        }\n        return new self.OffscreenCanvas(width, height)\n    };\n    loadImageFunction = self.createImageBitmap;\n    ImageDataClass = self.ImageData;\n\n} else if (sharp) {\n    // Running in Node.js, electron, or other non-browser environment\n\n    loadImageFunction = async (/**@type {sharp.Sharp}*/img) => {\n        const metadata = await img.metadata();\n        const rawChannels = metadata.channels;\n\n        let { data, info } = await img.rotate().raw().toBuffer({ resolveWithObject: true });\n\n        const newImage = new RawImage(new Uint8ClampedArray(data), info.width, info.height, info.channels);\n        if (rawChannels !== undefined && rawChannels !== info.channels) {\n            // Make sure the new image has the same number of channels as the input image.\n            // This is necessary for grayscale images.\n            newImage.convert(rawChannels);\n        }\n        return newImage;\n    }\n\n} else {\n    throw new Error('Unable to load image processing library.');\n}\n\n\n// Defined here: https://github.com/python-pillow/Pillow/blob/a405e8406b83f8bfb8916e93971edc7407b8b1ff/src/libImaging/Imaging.h#L262-L268\nconst RESAMPLING_MAPPING = {\n    0: 'nearest',\n    1: 'lanczos',\n    2: 'bilinear',\n    3: 'bicubic',\n    4: 'box',\n    5: 'hamming',\n}\n\n/**\n * Mapping from file extensions to MIME types.\n */\nconst CONTENT_TYPE_MAP = new Map([\n    ['png', 'image/png'],\n    ['jpg', 'image/jpeg'],\n    ['jpeg', 'image/jpeg'],\n    ['gif', 'image/gif'],\n]);\n\nexport class RawImage {\n\n    /**\n     * Create a new `RawImage` object.\n     * @param {Uint8ClampedArray|Uint8Array} data The pixel data.\n     * @param {number} width The width of the image.\n     * @param {number} height The height of the image.\n     * @param {1|2|3|4} channels The number of channels.\n     */\n    constructor(data, width, height, channels) {\n        this.data = data;\n        this.width = width;\n        this.height = height;\n        this.channels = channels;\n    }\n\n    /** \n     * Returns the size of the image (width, height).\n     * @returns {[number, number]} The size of the image (width, height).\n     */\n    get size() {\n        return [this.width, this.height];\n    }\n\n    /**\n     * Helper method for reading an image from a variety of input types.\n     * @param {RawImage|string|URL} input \n     * @returns The image object.\n     * \n     * **Example:** Read image from a URL.\n     * ```javascript\n     * let image = await RawImage.read('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/football-match.jpg');\n     * // RawImage {\n     * //   \"data\": Uint8ClampedArray [ 25, 25, 25, 19, 19, 19, ... ],\n     * //   \"width\": 800,\n     * //   \"height\": 533,\n     * //   \"channels\": 3\n     * // }\n     * ```\n     */\n    static async read(input) {\n        if (input instanceof RawImage) {\n            return input;\n        } else if (typeof input === 'string' || input instanceof URL) {\n            return await this.fromURL(input);\n        } else {\n            throw new Error(`Unsupported input type: ${typeof input}`);\n        }\n    }\n\n\n    /**\n     * Read an image from a URL or file path.\n     * @param {string|URL} url The URL or file path to read the image from.\n     * @returns {Promise<RawImage>} The image object.\n     */\n    static async fromURL(url) {\n        let response = await getFile(url);\n        if (response.status !== 200) {\n            throw new Error(`Unable to read image from \"${url}\" (${response.status} ${response.statusText})`);\n        }\n        let blob = await response.blob();\n        return this.fromBlob(blob);\n    }\n\n    /**\n     * Helper method to create a new Image from a blob.\n     * @param {Blob} blob The blob to read the image from.\n     * @returns {Promise<RawImage>} The image object.\n     */\n    static async fromBlob(blob) {\n        if (BROWSER_ENV) {\n            // Running in environment with canvas\n            let img = await loadImageFunction(blob);\n\n            const ctx = createCanvasFunction(img.width, img.height).getContext('2d');\n\n            // Draw image to context\n            ctx.drawImage(img, 0, 0);\n\n            return new this(ctx.getImageData(0, 0, img.width, img.height).data, img.width, img.height, 4);\n\n        } else {\n            // Use sharp.js to read (and possible resize) the image.\n            let img = sharp(await blob.arrayBuffer());\n\n            return await loadImageFunction(img);\n        }\n    }\n\n    /**\n     * Helper method to create a new Image from a tensor\n     * @param {Tensor} tensor \n     */\n    static fromTensor(tensor, channel_format = 'CHW') {\n        if (tensor.dims.length !== 3) {\n            throw new Error(`Tensor should have 3 dimensions, but has ${tensor.dims.length} dimensions.`);\n        }\n\n        if (channel_format === 'CHW') {\n            tensor = tensor.transpose(1, 2, 0);\n        } else if (channel_format === 'HWC') {\n            // Do nothing\n        } else {\n            throw new Error(`Unsupported channel format: ${channel_format}`);\n        }\n        if (!(tensor.data instanceof Uint8ClampedArray || tensor.data instanceof Uint8Array)) {\n            throw new Error(`Unsupported tensor type: ${tensor.type}`);\n        }\n        switch (tensor.dims[2]) {\n            case 1:\n            case 2:\n            case 3:\n            case 4:\n                return new RawImage(tensor.data, tensor.dims[1], tensor.dims[0], tensor.dims[2]);\n            default:\n                throw new Error(`Unsupported number of channels: ${tensor.dims[2]}`);\n        }\n    }\n\n    /**\n     * Convert the image to grayscale format.\n     * @returns {RawImage} `this` to support chaining.\n     */\n    grayscale() {\n        if (this.channels === 1) {\n            return this;\n        }\n\n        let newData = new Uint8ClampedArray(this.width * this.height * 1);\n        switch (this.channels) {\n            case 3: // rgb to grayscale\n            case 4: // rgba to grayscale\n                for (let i = 0, offset = 0; i < this.data.length; i += this.channels) {\n                    const red = this.data[i];\n                    const green = this.data[i + 1];\n                    const blue = this.data[i + 2];\n\n                    newData[offset++] = Math.round(0.2989 * red + 0.5870 * green + 0.1140 * blue);\n                }\n                break;\n            default:\n                throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`);\n        }\n        return this._update(newData, this.width, this.height, 1);\n    }\n\n    /**\n     * Convert the image to RGB format.\n     * @returns {RawImage} `this` to support chaining.\n     */\n    rgb() {\n        if (this.channels === 3) {\n            return this;\n        }\n\n        let newData = new Uint8ClampedArray(this.width * this.height * 3);\n\n        switch (this.channels) {\n            case 1: // grayscale to rgb\n                for (let i = 0, offset = 0; i < this.data.length; ++i) {\n                    newData[offset++] = this.data[i];\n                    newData[offset++] = this.data[i];\n                    newData[offset++] = this.data[i];\n                }\n                break;\n            case 4: // rgba to rgb\n                for (let i = 0, offset = 0; i < this.data.length; i += 4) {\n                    newData[offset++] = this.data[i];\n                    newData[offset++] = this.data[i + 1];\n                    newData[offset++] = this.data[i + 2];\n                }\n                break;\n            default:\n                throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`);\n        }\n        return this._update(newData, this.width, this.height, 3);\n\n    }\n\n    /**\n     * Convert the image to RGBA format.\n     * @returns {RawImage} `this` to support chaining.\n     */\n    rgba() {\n        if (this.channels === 4) {\n            return this;\n        }\n\n        let newData = new Uint8ClampedArray(this.width * this.height * 4);\n\n        switch (this.channels) {\n            case 1: // grayscale to rgba\n                for (let i = 0, offset = 0; i < this.data.length; ++i) {\n                    newData[offset++] = this.data[i];\n                    newData[offset++] = this.data[i];\n                    newData[offset++] = this.data[i];\n                    newData[offset++] = 255;\n                }\n                break;\n            case 3: // rgb to rgba\n                for (let i = 0, offset = 0; i < this.data.length; i += 3) {\n                    newData[offset++] = this.data[i];\n                    newData[offset++] = this.data[i + 1];\n                    newData[offset++] = this.data[i + 2];\n                    newData[offset++] = 255;\n                }\n                break;\n            default:\n                throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`);\n        }\n\n        return this._update(newData, this.width, this.height, 4);\n    }\n\n    /**\n     * Resize the image to the given dimensions. This method uses the canvas API to perform the resizing.\n     * @param {number} width The width of the new image.\n     * @param {number} height The height of the new image.\n     * @param {Object} options Additional options for resizing.\n     * @param {0|1|2|3|4|5|string} [options.resample] The resampling method to use.\n     * @returns {Promise<RawImage>} `this` to support chaining.\n     */\n    async resize(width, height, {\n        resample = 2,\n    } = {}) {\n\n        // Ensure resample method is a string\n        let resampleMethod = RESAMPLING_MAPPING[resample] ?? resample;\n\n        if (BROWSER_ENV) {\n            // TODO use `resample` in browser environment\n\n            // Store number of channels before resizing\n            let numChannels = this.channels;\n\n            // Create canvas object for this image\n            let canvas = this.toCanvas();\n\n            // Actually perform resizing using the canvas API\n            const ctx = createCanvasFunction(width, height).getContext('2d');\n\n            // Draw image to context, resizing in the process\n            ctx.drawImage(canvas, 0, 0, width, height);\n\n            // Create image from the resized data\n            let resizedImage = new RawImage(ctx.getImageData(0, 0, width, height).data, width, height, 4);\n\n            // Convert back so that image has the same number of channels as before\n            return resizedImage.convert(numChannels);\n\n        } else {\n            // Create sharp image from raw data, and resize\n            let img = this.toSharp();\n\n            switch (resampleMethod) {\n                case 'box':\n                case 'hamming':\n                    if (resampleMethod === 'box' || resampleMethod === 'hamming') {\n                        console.warn(`Resampling method ${resampleMethod} is not yet supported. Using bilinear instead.`);\n                        resampleMethod = 'bilinear';\n                    }\n\n                case 'nearest':\n                case 'bilinear':\n                case 'bicubic':\n                    // Perform resizing using affine transform. \n                    // This matches how the python Pillow library does it.\n                    img = img.affine([width / this.width, 0, 0, height / this.height], {\n                        interpolator: resampleMethod\n                    });\n                    break;\n\n                case 'lanczos':\n                    // https://github.com/python-pillow/Pillow/discussions/5519\n                    // https://github.com/lovell/sharp/blob/main/docs/api-resize.md\n                    img = img.resize({\n                        width, height,\n                        fit: 'fill',\n                        kernel: 'lanczos3', // PIL Lanczos uses a kernel size of 3 \n                    });\n                    break;\n\n                default:\n                    throw new Error(`Resampling method ${resampleMethod} is not supported.`);\n            }\n\n            return await loadImageFunction(img);\n        }\n\n    }\n\n    async pad([left, right, top, bottom]) {\n        left = Math.max(left, 0);\n        right = Math.max(right, 0);\n        top = Math.max(top, 0);\n        bottom = Math.max(bottom, 0);\n\n        if (left === 0 && right === 0 && top === 0 && bottom === 0) {\n            // No padding needed\n            return this;\n        }\n\n        if (BROWSER_ENV) {\n            // Store number of channels before padding\n            let numChannels = this.channels;\n\n            // Create canvas object for this image\n            let canvas = this.toCanvas();\n\n            let newWidth = this.width + left + right;\n            let newHeight = this.height + top + bottom;\n\n            // Create a new canvas of the desired size.\n            const ctx = createCanvasFunction(newWidth, newHeight).getContext('2d');\n\n            // Draw image to context, padding in the process\n            ctx.drawImage(canvas,\n                0, 0, this.width, this.height,\n                left, top, newWidth, newHeight\n            );\n\n            // Create image from the padded data\n            let paddedImage = new RawImage(\n                ctx.getImageData(0, 0, newWidth, newHeight).data,\n                newWidth, newHeight, 4);\n\n            // Convert back so that image has the same number of channels as before\n            return paddedImage.convert(numChannels);\n\n        } else {\n            let img = this.toSharp().extend({ left, right, top, bottom });\n            return await loadImageFunction(img);\n        }\n    }\n\n    async crop([x_min, y_min, x_max, y_max]) {\n        // Ensure crop bounds are within the image\n        x_min = Math.max(x_min, 0);\n        y_min = Math.max(y_min, 0);\n        x_max = Math.min(x_max, this.width - 1);\n        y_max = Math.min(y_max, this.height - 1);\n\n        // Do nothing if the crop is the entire image\n        if (x_min === 0 && y_min === 0 && x_max === this.width - 1 && y_max === this.height - 1) {\n            return this;\n        }\n\n        const crop_width = x_max - x_min + 1;\n        const crop_height = y_max - y_min + 1;\n\n        if (BROWSER_ENV) {\n            // Store number of channels before resizing\n            const numChannels = this.channels;\n\n            // Create canvas object for this image\n            const canvas = this.toCanvas();\n\n            // Create a new canvas of the desired size. This is needed since if the \n            // image is too small, we need to pad it with black pixels.\n            const ctx = createCanvasFunction(crop_width, crop_height).getContext('2d');\n\n            // Draw image to context, cropping in the process\n            ctx.drawImage(canvas,\n                x_min, y_min, crop_width, crop_height,\n                0, 0, crop_width, crop_height\n            );\n\n            // Create image from the resized data\n            const resizedImage = new RawImage(ctx.getImageData(0, 0, crop_width, crop_height).data, crop_width, crop_height, 4);\n\n            // Convert back so that image has the same number of channels as before\n            return resizedImage.convert(numChannels);\n\n        } else {\n            // Create sharp image from raw data\n            const img = this.toSharp().extract({\n                left: x_min,\n                top: y_min,\n                width: crop_width,\n                height: crop_height,\n            });\n\n            return await loadImageFunction(img);\n        }\n\n    }\n\n    async center_crop(crop_width, crop_height) {\n        // If the image is already the desired size, return it\n        if (this.width === crop_width && this.height === crop_height) {\n            return this;\n        }\n\n        // Determine bounds of the image in the new canvas\n        let width_offset = (this.width - crop_width) / 2;\n        let height_offset = (this.height - crop_height) / 2;\n\n\n        if (BROWSER_ENV) {\n            // Store number of channels before resizing\n            let numChannels = this.channels;\n\n            // Create canvas object for this image\n            let canvas = this.toCanvas();\n\n            // Create a new canvas of the desired size. This is needed since if the \n            // image is too small, we need to pad it with black pixels.\n            const ctx = createCanvasFunction(crop_width, crop_height).getContext('2d');\n\n            let sourceX = 0;\n            let sourceY = 0;\n            let destX = 0;\n            let destY = 0;\n\n            if (width_offset >= 0) {\n                sourceX = width_offset;\n            } else {\n                destX = -width_offset;\n            }\n\n            if (height_offset >= 0) {\n                sourceY = height_offset;\n            } else {\n                destY = -height_offset;\n            }\n\n            // Draw image to context, cropping in the process\n            ctx.drawImage(canvas,\n                sourceX, sourceY, crop_width, crop_height,\n                destX, destY, crop_width, crop_height\n            );\n\n            // Create image from the resized data\n            let resizedImage = new RawImage(ctx.getImageData(0, 0, crop_width, crop_height).data, crop_width, crop_height, 4);\n\n            // Convert back so that image has the same number of channels as before\n            return resizedImage.convert(numChannels);\n\n        } else {\n            // Create sharp image from raw data\n            let img = this.toSharp();\n\n            if (width_offset >= 0 && height_offset >= 0) {\n                // Cropped image lies entirely within the original image\n                img = img.extract({\n                    left: Math.floor(width_offset),\n                    top: Math.floor(height_offset),\n                    width: crop_width,\n                    height: crop_height,\n                })\n            } else if (width_offset <= 0 && height_offset <= 0) {\n                // Cropped image lies entirely outside the original image,\n                // so we add padding\n                let top = Math.floor(-height_offset);\n                let left = Math.floor(-width_offset);\n                img = img.extend({\n                    top: top,\n                    left: left,\n\n                    // Ensures the resulting image has the desired dimensions\n                    right: crop_width - this.width - left,\n                    bottom: crop_height - this.height - top,\n                });\n            } else {\n                // Cropped image lies partially outside the original image.\n                // We first pad, then crop.\n\n                let y_padding = [0, 0];\n                let y_extract = 0;\n                if (height_offset < 0) {\n                    y_padding[0] = Math.floor(-height_offset);\n                    y_padding[1] = crop_height - this.height - y_padding[0];\n                } else {\n                    y_extract = Math.floor(height_offset);\n                }\n\n                let x_padding = [0, 0];\n                let x_extract = 0;\n                if (width_offset < 0) {\n                    x_padding[0] = Math.floor(-width_offset);\n                    x_padding[1] = crop_width - this.width - x_padding[0];\n                } else {\n                    x_extract = Math.floor(width_offset);\n                }\n\n                img = img.extend({\n                    top: y_padding[0],\n                    bottom: y_padding[1],\n                    left: x_padding[0],\n                    right: x_padding[1],\n                }).extract({\n                    left: x_extract,\n                    top: y_extract,\n                    width: crop_width,\n                    height: crop_height,\n                })\n            }\n\n            return await loadImageFunction(img);\n        }\n    }\n\n    async toBlob(type = 'image/png', quality = 1) {\n        if (!BROWSER_ENV) {\n            throw new Error('toBlob() is only supported in browser environments.')\n        }\n\n        const canvas = this.toCanvas();\n        return await canvas.convertToBlob({ type, quality });\n    }\n\n    toTensor(channel_format = 'CHW') {\n        let tensor = new Tensor(\n            'uint8',\n            new Uint8Array(this.data),\n            [this.height, this.width, this.channels]\n        );\n\n        if (channel_format === 'HWC') {\n            // Do nothing\n        } else if (channel_format === 'CHW') { // hwc -> chw\n            tensor = tensor.permute(2, 0, 1);\n        } else {\n            throw new Error(`Unsupported channel format: ${channel_format}`);\n        }\n        return tensor;\n    }\n\n    toCanvas() {\n        if (!BROWSER_ENV) {\n            throw new Error('toCanvas() is only supported in browser environments.')\n        }\n\n        // Clone, and convert data to RGBA before drawing to canvas.\n        // This is because the canvas API only supports RGBA\n        let cloned = this.clone().rgba();\n\n        // Create canvas object for the cloned image\n        let clonedCanvas = createCanvasFunction(cloned.width, cloned.height);\n\n        // Draw image to context\n        let data = new ImageDataClass(cloned.data, cloned.width, cloned.height);\n        clonedCanvas.getContext('2d').putImageData(data, 0, 0);\n\n        return clonedCanvas;\n    }\n\n    /**\n     * Helper method to update the image data.\n     * @param {Uint8ClampedArray} data The new image data.\n     * @param {number} width The new width of the image.\n     * @param {number} height The new height of the image.\n     * @param {1|2|3|4|null} [channels] The new number of channels of the image.\n     * @private\n     */\n    _update(data, width, height, channels = null) {\n        this.data = data;\n        this.width = width;\n        this.height = height;\n        if (channels !== null) {\n            this.channels = channels;\n        }\n        return this;\n    }\n\n    /**\n     * Clone the image\n     * @returns {RawImage} The cloned image\n     */\n    clone() {\n        return new RawImage(this.data.slice(), this.width, this.height, this.channels);\n    }\n\n    /**\n     * Helper method for converting image to have a certain number of channels\n     * @param {number} numChannels The number of channels. Must be 1, 3, or 4.\n     * @returns {RawImage} `this` to support chaining.\n     */\n    convert(numChannels) {\n        if (this.channels === numChannels) return this; // Already correct number of channels\n\n        switch (numChannels) {\n            case 1:\n                this.grayscale();\n                break;\n            case 3:\n                this.rgb();\n                break;\n            case 4:\n                this.rgba();\n                break;\n            default:\n                throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`);\n        }\n        return this;\n    }\n\n    /**\n     * Save the image to the given path.\n     * @param {string} path The path to save the image to.\n     */\n    async save(path) {\n\n        if (BROWSER_ENV) {\n            if (WEBWORKER_ENV) {\n                throw new Error('Unable to save an image from a Web Worker.')\n            }\n\n            const extension = path.split('.').pop().toLowerCase();\n            const mime = CONTENT_TYPE_MAP.get(extension) ?? 'image/png';\n\n            // Convert image to Blob\n            const blob = await this.toBlob(mime);\n\n            // Convert the canvas content to a data URL\n            const dataURL = URL.createObjectURL(blob);\n\n            // Create an anchor element with the data URL as the href attribute\n            const downloadLink = document.createElement('a');\n            downloadLink.href = dataURL;\n\n            // Set the download attribute to specify the desired filename for the downloaded image\n            downloadLink.download = path;\n\n            // Trigger the download\n            downloadLink.click();\n\n            // Clean up: remove the anchor element from the DOM\n            downloadLink.remove();\n\n        } else if (!env.useFS) {\n            throw new Error('Unable to save the image because filesystem is disabled in this environment.')\n\n        } else {\n            const img = this.toSharp();\n            return await img.toFile(path);\n        }\n    }\n\n    toSharp() {\n        if (BROWSER_ENV) {\n            throw new Error('toSharp() is only supported in server-side environments.')\n        }\n\n        return sharp(this.data, {\n            raw: {\n                width: this.width,\n                height: this.height,\n                channels: this.channels\n            }\n        });\n    }\n}\n","/**\n * @file Helper module for audio processing. \n * \n * These functions and classes are only used internally, \n * meaning an end-user shouldn't need to access anything here.\n * \n * @module utils/audio\n */\n\nimport {\n    getFile,\n} from './hub.js';\nimport { FFT, max } from './maths.js';\nimport {\n    calculateReflectOffset,\n} from './core.js';\n\n\n/**\n * Helper function to read audio from a path/URL.\n * @param {string|URL} url The path/URL to load the audio from.\n * @param {number} sampling_rate The sampling rate to use when decoding the audio.\n * @returns {Promise<Float32Array>} The decoded audio as a `Float32Array`.\n */\nexport async function read_audio(url, sampling_rate) {\n    if (typeof AudioContext === 'undefined') {\n        // Running in node or an environment without AudioContext\n        throw Error(\n            \"Unable to load audio from path/URL since `AudioContext` is not available in your environment. \" +\n            \"Instead, audio data should be passed directly to the pipeline/processor. \" +\n            \"For more information and some example code, see https://huggingface.co/docs/transformers.js/guides/node-audio-processing.\"\n        )\n    }\n\n    const response = await (await getFile(url)).arrayBuffer();\n    const audioCTX = new AudioContext({ sampleRate: sampling_rate });\n    if (typeof sampling_rate === 'undefined') {\n        console.warn(`No sampling rate provided, using default of ${audioCTX.sampleRate}Hz.`)\n    }\n    const decoded = await audioCTX.decodeAudioData(response);\n\n    /** @type {Float32Array} */\n    let audio;\n\n    // We now replicate HuggingFace's `ffmpeg_read` method:\n    if (decoded.numberOfChannels === 2) {\n        // When downmixing a stereo audio file to mono using the -ac 1 option in FFmpeg,\n        // the audio signal is summed across both channels to create a single mono channel.\n        // However, if the audio is at full scale (i.e. the highest possible volume level),\n        // the summing of the two channels can cause the audio signal to clip or distort.\n\n        // To prevent this clipping, FFmpeg applies a scaling factor of 1/sqrt(2) (~ 0.707)\n        // to the audio signal before summing the two channels. This scaling factor ensures\n        // that the combined audio signal will not exceed the maximum possible level, even\n        // if both channels are at full scale.\n\n        // After applying this scaling factor, the audio signal from both channels is summed\n        // to create a single mono channel. It's worth noting that this scaling factor is\n        // only applied when downmixing stereo audio to mono using the -ac 1 option in FFmpeg.\n        // If you're using a different downmixing method, or if you're not downmixing the\n        // audio at all, this scaling factor may not be needed.\n        const SCALING_FACTOR = Math.sqrt(2);\n\n        const left = decoded.getChannelData(0);\n        const right = decoded.getChannelData(1);\n\n        audio = new Float32Array(left.length);\n        for (let i = 0; i < decoded.length; ++i) {\n            audio[i] = SCALING_FACTOR * (left[i] + right[i]) / 2;\n        }\n\n    } else {\n        // If the audio is not stereo, we can just use the first channel:\n        audio = decoded.getChannelData(0);\n    }\n\n    return audio;\n}\n\n/**\n * Generates a Hanning window of length M.\n *\n * @param {number} M The length of the Hanning window to generate.\n * @returns {Float64Array} The generated Hanning window.\n */\nexport function hanning(M) {\n    if (M < 1) {\n        return new Float64Array();\n    }\n    if (M === 1) {\n        return new Float64Array([1]);\n    }\n    const denom = M - 1;\n    const factor = Math.PI / denom;\n    const cos_vals = new Float64Array(M);\n    for (let i = 0; i < M; ++i) {\n        const n = 2 * i - denom;\n        cos_vals[i] = 0.5 + 0.5 * Math.cos(factor * n);\n    }\n    return cos_vals;\n}\n\nconst HERTZ_TO_MEL_MAPPING = {\n    \"htk\": (/** @type {number} */ freq) => 2595.0 * Math.log10(1.0 + (freq / 700.0)),\n    \"kaldi\": (/** @type {number} */ freq) => 1127.0 * Math.log(1.0 + (freq / 700.0)),\n    \"slaney\": (/** @type {number} */ freq, min_log_hertz = 1000.0, min_log_mel = 15.0, logstep = 27.0 / Math.log(6.4)) =>\n        freq >= min_log_hertz\n            ? min_log_mel + Math.log(freq / min_log_hertz) * logstep\n            : 3.0 * freq / 200.0,\n}\n\n/**\n * @template {Float32Array|Float64Array|number} T \n * @param {T} freq \n * @param {string} [mel_scale]\n * @returns {T}\n */\nfunction hertz_to_mel(freq, mel_scale = \"htk\") {\n    const fn = HERTZ_TO_MEL_MAPPING[mel_scale];\n    if (!fn) {\n        throw new Error('mel_scale should be one of \"htk\", \"slaney\" or \"kaldi\".');\n    }\n\n    return typeof freq === 'number' ? fn(freq) : freq.map(x => fn(x));\n}\n\nconst MEL_TO_HERTZ_MAPPING = {\n    \"htk\": (/** @type {number} */ mels) => 700.0 * (10.0 ** (mels / 2595.0) - 1.0),\n    \"kaldi\": (/** @type {number} */ mels) => 700.0 * (Math.exp(mels / 1127.0) - 1.0),\n    \"slaney\": (/** @type {number} */ mels, min_log_hertz = 1000.0, min_log_mel = 15.0, logstep = Math.log(6.4) / 27.0) => mels >= min_log_mel\n        ? min_log_hertz * Math.exp(logstep * (mels - min_log_mel))\n        : 200.0 * mels / 3.0,\n}\n\n/**\n * @template {Float32Array|Float64Array|number} T \n * @param {T} mels \n * @param {string} [mel_scale]\n * @returns {T}\n */\nfunction mel_to_hertz(mels, mel_scale = \"htk\") {\n    const fn = MEL_TO_HERTZ_MAPPING[mel_scale];\n    if (!fn) {\n        throw new Error('mel_scale should be one of \"htk\", \"slaney\" or \"kaldi\".');\n    }\n\n    return typeof mels === 'number' ? fn(mels) : mels.map(x => fn(x));\n}\n\n/**\n* Creates a triangular filter bank.\n*\n* Adapted from torchaudio and librosa.\n*\n* @param {Float64Array} fft_freqs Discrete frequencies of the FFT bins in Hz, of shape `(num_frequency_bins,)`.\n* @param {Float64Array} filter_freqs Center frequencies of the triangular filters to create, in Hz, of shape `(num_mel_filters,)`.\n* @returns {number[][]} of shape `(num_frequency_bins, num_mel_filters)`.\n*/\nfunction _create_triangular_filter_bank(fft_freqs, filter_freqs) {\n    const filter_diff = Float64Array.from(\n        { length: filter_freqs.length - 1 },\n        (_, i) => filter_freqs[i + 1] - filter_freqs[i]\n    );\n\n    const slopes = Array.from({\n        length: fft_freqs.length\n    }, () => new Array(filter_freqs.length));\n\n    for (let j = 0; j < fft_freqs.length; ++j) {\n        const slope = slopes[j];\n        for (let i = 0; i < filter_freqs.length; ++i) {\n            slope[i] = filter_freqs[i] - fft_freqs[j];\n        }\n    }\n\n    const numFreqs = filter_freqs.length - 2;\n    const ret = Array.from({ length: numFreqs }, () => new Array(fft_freqs.length));\n\n    for (let j = 0; j < fft_freqs.length; ++j) { // 201\n        const slope = slopes[j];\n        for (let i = 0; i < numFreqs; ++i) { // 80\n            const down = -slope[i] / filter_diff[i];\n            const up = slope[i + 2] / filter_diff[i + 1];\n            ret[i][j] = Math.max(0, Math.min(down, up));\n        }\n    }\n    return ret;\n}\n\n/**\n * Return evenly spaced numbers over a specified interval.\n * @param {number} start The starting value of the sequence.\n * @param {number} end The end value of the sequence.\n * @param {number} num Number of samples to generate.\n * @returns `num` evenly spaced samples, calculated over the interval `[start, stop]`.\n */\nfunction linspace(start, end, num) {\n    const step = (end - start) / (num - 1);\n    return Float64Array.from({ length: num }, (_, i) => start + step * i);\n}\n\n/**\n * Creates a frequency bin conversion matrix used to obtain a mel spectrogram. This is called a *mel filter bank*, and\n * various implementation exist, which differ in the number of filters, the shape of the filters, the way the filters\n * are spaced, the bandwidth of the filters, and the manner in which the spectrum is warped. The goal of these\n * features is to approximate the non-linear human perception of the variation in pitch with respect to the frequency.\n * @param {number} num_frequency_bins Number of frequencies used to compute the spectrogram (should be the same as in `stft`).\n * @param {number} num_mel_filters Number of mel filters to generate.\n * @param {number} min_frequency Lowest frequency of interest in Hz.\n * @param {number} max_frequency Highest frequency of interest in Hz. This should not exceed `sampling_rate / 2`.\n * @param {number} sampling_rate Sample rate of the audio waveform.\n * @param {string} [norm] If `\"slaney\"`, divide the triangular mel weights by the width of the mel band (area normalization).\n * @param {string} [mel_scale] The mel frequency scale to use, `\"htk\"` or `\"slaney\"`.\n * @param {boolean} [triangularize_in_mel_space] If this option is enabled, the triangular filter is applied in mel space rather than frequency space.\n * This should be set to `true` in order to get the same results as `torchaudio` when computing mel filters.\n * @returns {number[][]} Triangular filter bank matrix, which is a 2D array of shape (`num_frequency_bins`, `num_mel_filters`).\n * This is a projection matrix to go from a spectrogram to a mel spectrogram.\n */\nexport function mel_filter_bank(\n    num_frequency_bins,\n    num_mel_filters,\n    min_frequency,\n    max_frequency,\n    sampling_rate,\n    norm = null,\n    mel_scale = \"htk\",\n    triangularize_in_mel_space = false,\n) {\n    if (norm !== null && norm !== \"slaney\") {\n        throw new Error('norm must be one of null or \"slaney\"');\n    }\n\n    const mel_min = hertz_to_mel(min_frequency, mel_scale);\n    const mel_max = hertz_to_mel(max_frequency, mel_scale);\n    const mel_freqs = linspace(mel_min, mel_max, num_mel_filters + 2);\n\n    let filter_freqs = mel_to_hertz(mel_freqs, mel_scale);\n    let fft_freqs; // frequencies of FFT bins in Hz\n\n    if (triangularize_in_mel_space) {\n        const fft_bin_width = sampling_rate / (num_frequency_bins * 2);\n        fft_freqs = hertz_to_mel(Float64Array.from({ length: num_frequency_bins }, (_, i) => i * fft_bin_width), mel_scale);\n        filter_freqs = mel_freqs;\n    } else {\n        fft_freqs = linspace(0, Math.floor(sampling_rate / 2), num_frequency_bins);\n    }\n\n    const mel_filters = _create_triangular_filter_bank(fft_freqs, filter_freqs);\n\n    if (norm !== null && norm === \"slaney\") {\n        // Slaney-style mel is scaled to be approx constant energy per channel\n        for (let i = 0; i < num_mel_filters; ++i) {\n            const filter = mel_filters[i];\n            const enorm = 2.0 / (filter_freqs[i + 2] - filter_freqs[i]);\n            for (let j = 0; j < num_frequency_bins; ++j) {\n                // Apply this enorm to all frequency bins\n                filter[j] *= enorm;\n            }\n        }\n    }\n\n    // TODO warn if there is a zero row\n\n    return mel_filters;\n\n}\n\n/**\n * @template {Float32Array|Float64Array} T\n * Pads an array with a reflected version of itself on both ends.\n * @param {T} array The array to pad.\n * @param {number} left The amount of padding to add to the left.\n * @param {number} right The amount of padding to add to the right.\n * @returns {T} The padded array.\n */\nfunction padReflect(array, left, right) {\n    // @ts-ignore\n    const padded = new array.constructor(array.length + left + right);\n    const w = array.length - 1;\n\n    for (let i = 0; i < array.length; ++i) {\n        padded[left + i] = array[i];\n    }\n\n    for (let i = 1; i <= left; ++i) {\n        padded[left - i] = array[calculateReflectOffset(i, w)];\n    }\n\n    for (let i = 1; i <= right; ++i) {\n        padded[w + left + i] = array[calculateReflectOffset(w - i, w)];\n    }\n\n    return padded;\n}\n\n/**\n * Helper function to compute `amplitude_to_db` and `power_to_db`.\n * @template {Float32Array|Float64Array} T\n * @param {T} spectrogram \n * @param {number} factor \n * @param {number} reference \n * @param {number} min_value \n * @param {number} db_range \n * @returns {T}\n */\nfunction _db_conversion_helper(spectrogram, factor, reference, min_value, db_range) {\n    if (reference <= 0) {\n        throw new Error('reference must be greater than zero');\n    }\n\n    if (min_value <= 0) {\n        throw new Error('min_value must be greater than zero');\n    }\n\n    reference = Math.max(min_value, reference);\n\n    const logReference = Math.log10(reference);\n    for (let i = 0; i < spectrogram.length; ++i) {\n        spectrogram[i] = factor * Math.log10(Math.max(min_value, spectrogram[i]) - logReference)\n    }\n\n    if (db_range !== null) {\n        if (db_range <= 0) {\n            throw new Error('db_range must be greater than zero');\n        }\n        const maxValue = max(spectrogram)[0] - db_range;\n        for (let i = 0; i < spectrogram.length; ++i) {\n            spectrogram[i] = Math.max(spectrogram[i], maxValue);\n        }\n    }\n\n    return spectrogram;\n}\n\n/**\n * Converts an amplitude spectrogram to the decibel scale. This computes `20 * log10(spectrogram / reference)`,\n * using basic logarithm properties for numerical stability. NOTE: Operates in-place.\n * \n * The motivation behind applying the log function on the (mel) spectrogram is that humans do not hear loudness on a\n * linear scale. Generally to double the perceived volume of a sound we need to put 8 times as much energy into it.\n * This means that large variations in energy may not sound all that different if the sound is loud to begin with.\n * This compression operation makes the (mel) spectrogram features match more closely what humans actually hear.\n * \n * @template {Float32Array|Float64Array} T\n * @param {T} spectrogram The input amplitude (mel) spectrogram.\n * @param {number} [reference=1.0] Sets the input spectrogram value that corresponds to 0 dB.\n * For example, use `np.max(spectrogram)` to set the loudest part to 0 dB. Must be greater than zero.\n * @param {number} [min_value=1e-5] The spectrogram will be clipped to this minimum value before conversion to decibels,\n * to avoid taking `log(0)`. The default of `1e-5` corresponds to a minimum of -100 dB. Must be greater than zero.\n * @param {number} [db_range=null] Sets the maximum dynamic range in decibels. For example, if `db_range = 80`, the\n * difference between the peak value and the smallest value will never be more than 80 dB. Must be greater than zero.\n * @returns {T} The modified spectrogram in decibels.\n */\nfunction amplitude_to_db(spectrogram, reference = 1.0, min_value = 1e-5, db_range = null) {\n    return _db_conversion_helper(spectrogram, 20.0, reference, min_value, db_range);\n}\n\n/**\n * Converts a power spectrogram to the decibel scale. This computes `10 * log10(spectrogram / reference)`,\n * using basic logarithm properties for numerical stability. NOTE: Operates in-place.\n * \n * The motivation behind applying the log function on the (mel) spectrogram is that humans do not hear loudness on a\n * linear scale. Generally to double the perceived volume of a sound we need to put 8 times as much energy into it.\n * This means that large variations in energy may not sound all that different if the sound is loud to begin with.\n * This compression operation makes the (mel) spectrogram features match more closely what humans actually hear.\n * \n * Based on the implementation of `librosa.power_to_db`.\n * \n * @template {Float32Array|Float64Array} T\n * @param {T} spectrogram The input power (mel) spectrogram. Note that a power spectrogram has the amplitudes squared!\n * @param {number} [reference=1.0] Sets the input spectrogram value that corresponds to 0 dB.\n * For example, use `np.max(spectrogram)` to set the loudest part to 0 dB. Must be greater than zero.\n * @param {number} [min_value=1e-10] The spectrogram will be clipped to this minimum value before conversion to decibels,\n * to avoid taking `log(0)`. The default of `1e-10` corresponds to a minimum of -100 dB. Must be greater than zero.\n * @param {number} [db_range=null] Sets the maximum dynamic range in decibels. For example, if `db_range = 80`, the\n * difference between the peak value and the smallest value will never be more than 80 dB. Must be greater than zero.\n * @returns {T} The modified spectrogram in decibels.\n */\nfunction power_to_db(spectrogram, reference = 1.0, min_value = 1e-10, db_range = null) {\n    return _db_conversion_helper(spectrogram, 10.0, reference, min_value, db_range);\n}\n\n/**\n * Calculates a spectrogram over one waveform using the Short-Time Fourier Transform.\n * \n * This function can create the following kinds of spectrograms:\n *   - amplitude spectrogram (`power = 1.0`)\n *   - power spectrogram (`power = 2.0`)\n *   - complex-valued spectrogram (`power = None`)\n *   - log spectrogram (use `log_mel` argument)\n *   - mel spectrogram (provide `mel_filters`)\n *   - log-mel spectrogram (provide `mel_filters` and `log_mel`)\n *\n * In this implementation, the window is assumed to be zero-padded to have the same size as the analysis frame.\n * A padded window can be obtained from `window_function()`. The FFT input buffer may be larger than the analysis frame, \n * typically the next power of two.\n * \n * @param {Float32Array|Float64Array} waveform The input waveform of shape `(length,)`. This must be a single real-valued, mono waveform.\n * @param {Float32Array|Float64Array} window The windowing function to apply of shape `(frame_length,)`, including zero-padding if necessary. The actual window length may be\n * shorter than `frame_length`, but we're assuming the array has already been zero-padded.\n * @param {number} frame_length The length of the analysis frames in samples (a.k.a., `fft_length`).\n * @param {number} hop_length The stride between successive analysis frames in samples.\n * @param {Object} options\n * @param {number} [options.fft_length=null] The size of the FFT buffer in samples. This determines how many frequency bins the spectrogram will have.\n * For optimal speed, this should be a power of two. If `null`, uses `frame_length`.\n * @param {number} [options.power=1.0] If 1.0, returns the amplitude spectrogram. If 2.0, returns the power spectrogram. If `null`, returns complex numbers.\n * @param {boolean} [options.center=true] Whether to pad the waveform so that frame `t` is centered around time `t * hop_length`. If `false`, frame\n * `t` will start at time `t * hop_length`.\n * @param {string} [options.pad_mode=\"reflect\"] Padding mode used when `center` is `true`. Possible values are: `\"constant\"` (pad with zeros),\n * `\"edge\"` (pad with edge values), `\"reflect\"` (pads with mirrored values).\n * @param {boolean} [options.onesided=true] If `true`, only computes the positive frequencies and returns a spectrogram containing `fft_length // 2 + 1`\n * frequency bins. If `false`, also computes the negative frequencies and returns `fft_length` frequency bins.\n * @param {number} [options.preemphasis=null] Coefficient for a low-pass filter that applies pre-emphasis before the DFT.\n * @param {number[][]} [options.mel_filters=null] The mel filter bank of shape `(num_freq_bins, num_mel_filters)`.\n * If supplied, applies this filter bank to create a mel spectrogram.\n * @param {number} [options.mel_floor=1e-10] Minimum value of mel frequency banks.\n * @param {string} [options.log_mel=null] How to convert the spectrogram to log scale. Possible options are:\n * `null` (don't convert), `\"log\"` (take the natural logarithm) `\"log10\"` (take the base-10 logarithm), `\"dB\"` (convert to decibels).\n * Can only be used when `power` is not `null`.\n * @param {number} [options.reference=1.0] Sets the input spectrogram value that corresponds to 0 dB. For example, use `max(spectrogram)[0]` to set\n * the loudest part to 0 dB. Must be greater than zero.\n * @param {number} [options.min_value=1e-10] The spectrogram will be clipped to this minimum value before conversion to decibels, to avoid taking `log(0)`.\n * For a power spectrogram, the default of `1e-10` corresponds to a minimum of -100 dB. For an amplitude spectrogram, the value `1e-5` corresponds to -100 dB.\n * Must be greater than zero.\n * @param {number} [options.db_range=null] Sets the maximum dynamic range in decibels. For example, if `db_range = 80`, the difference between the\n * peak value and the smallest value will never be more than 80 dB. Must be greater than zero.\n * @param {boolean} [options.remove_dc_offset=null] Subtract mean from waveform on each frame, applied before pre-emphasis. This should be set to `true` in\n * order to get the same results as `torchaudio.compliance.kaldi.fbank` when computing mel filters.\n * @param {number} [options.max_num_frames=null] If provided, limits the number of frames to compute to this value.\n * @param {boolean} [options.do_pad=true] If `true`, pads the output spectrogram to have `max_num_frames` frames.\n * @param {boolean} [options.transpose=false] If `true`, the returned spectrogram will have shape `(num_frames, num_frequency_bins/num_mel_filters)`. If `false`, the returned spectrogram will have shape `(num_frequency_bins/num_mel_filters, num_frames)`.\n * @returns {{data: Float32Array, dims: number[]}} Spectrogram of shape `(num_frequency_bins, length)` (regular spectrogram) or shape `(num_mel_filters, length)` (mel spectrogram).\n */\nexport function spectrogram(\n    waveform,\n    window,\n    frame_length,\n    hop_length,\n    {\n        fft_length = null,\n        power = 1.0,\n        center = true,\n        pad_mode = \"reflect\",\n        onesided = true,\n        preemphasis = null,\n        mel_filters = null,\n        mel_floor = 1e-10,\n        log_mel = null,\n        reference = 1.0,\n        min_value = 1e-10,\n        db_range = null,\n        remove_dc_offset = null,\n\n        // Custom parameters for efficiency reasons\n        max_num_frames = null,\n        do_pad = true,\n        transpose = false,\n    } = {}\n) {\n    const window_length = window.length;\n    if (fft_length === null) {\n        fft_length = frame_length;\n    }\n    if (frame_length > fft_length) {\n        throw Error(`frame_length (${frame_length}) may not be larger than fft_length (${fft_length})`)\n    }\n\n    if (window_length !== frame_length) {\n        throw new Error(`Length of the window (${window_length}) must equal frame_length (${frame_length})`);\n    }\n\n    if (hop_length <= 0) {\n        throw new Error(\"hop_length must be greater than zero\");\n    }\n\n    if (power === null && mel_filters !== null) {\n        throw new Error(\n            \"You have provided `mel_filters` but `power` is `None`. Mel spectrogram computation is not yet supported for complex-valued spectrogram. \" +\n            \"Specify `power` to fix this issue.\"\n        );\n    }\n\n    if (center) {\n        if (pad_mode !== 'reflect') {\n            throw new Error(`pad_mode=\"${pad_mode}\" not implemented yet.`)\n        }\n        const half_window = Math.floor((fft_length - 1) / 2) + 1;\n        waveform = padReflect(waveform, half_window, half_window);\n    }\n\n    // split waveform into frames of frame_length size\n    const num_frames = Math.floor(1 + Math.floor((waveform.length - frame_length) / hop_length))\n\n    const num_frequency_bins = onesided ? Math.floor(fft_length / 2) + 1 : fft_length\n\n    let d1 = num_frames;\n    let d1Max = num_frames;\n\n    // If maximum number of frames is provided, we must either pad or truncate\n    if (max_num_frames !== null) {\n        if (max_num_frames > num_frames) { // input is too short, so we pad\n            if (do_pad) {\n                d1Max = max_num_frames;\n            }\n        } else { // input is too long, so we truncate\n            d1Max = d1 = max_num_frames;\n        }\n    }\n\n    // Preallocate arrays to store output.\n    const fft = new FFT(fft_length);\n    const inputBuffer = new Float64Array(fft_length);\n    const outputBuffer = new Float64Array(fft.outputBufferSize);\n    const magnitudes = new Array(d1);\n\n    for (let i = 0; i < d1; ++i) {\n        // Populate buffer with waveform data\n        const offset = i * hop_length;\n        for (let j = 0; j < frame_length; ++j) {\n            inputBuffer[j] = waveform[offset + j];\n        }\n\n        if (remove_dc_offset) {\n            let sum = 0;\n            for (let j = 0; j < frame_length; ++j) {\n                sum += inputBuffer[j];\n            }\n            const mean = sum / frame_length;\n            for (let j = 0; j < frame_length; ++j) {\n                inputBuffer[j] -= mean;\n            }\n        }\n\n        if (preemphasis !== null) {\n            // Done in reverse to avoid copies and distructive modification\n            for (let j = frame_length - 1; j >= 1; --j) {\n                inputBuffer[j] -= preemphasis * inputBuffer[j - 1];\n            }\n            inputBuffer[0] *= 1 - preemphasis;\n        }\n\n        for (let j = 0; j < window.length; ++j) {\n            inputBuffer[j] *= window[j];\n        }\n\n        fft.realTransform(outputBuffer, inputBuffer);\n\n        // compute magnitudes\n        const row = new Array(num_frequency_bins);\n        for (let j = 0; j < row.length; ++j) {\n            const j2 = j << 1;\n            row[j] = outputBuffer[j2] ** 2 + outputBuffer[j2 + 1] ** 2;\n        }\n        magnitudes[i] = row;\n    }\n\n    if (power !== null && power !== 2) {\n        // slight optimization to not sqrt\n        const pow = 2 / power; // we use 2 since we already squared\n        for (let i = 0; i < magnitudes.length; ++i) {\n            const magnitude = magnitudes[i];\n            for (let j = 0; j < magnitude.length; ++j) {\n                magnitude[j] **= pow;\n            }\n        }\n    }\n\n    // TODO: What if `mel_filters` is null?\n    const num_mel_filters = mel_filters.length;\n\n    // Only here do we create Float32Array\n    const mel_spec = new Float32Array(num_mel_filters * d1Max);\n\n    // Perform matrix muliplication:\n    // mel_spec = mel_filters @ magnitudes.T\n    //  - mel_filters.shape=(80, 201)\n    //  - magnitudes.shape=(3000, 201) => - magnitudes.T.shape=(201, 3000)\n    //  - mel_spec.shape=(80, 3000)\n    const dims = transpose ? [d1Max, num_mel_filters] : [num_mel_filters, d1Max];\n    for (let i = 0; i < num_mel_filters; ++i) { // num melfilters (e.g., 80)\n        const filter = mel_filters[i];\n        for (let j = 0; j < d1; ++j) { // num frames (e.g., 3000)\n            const magnitude = magnitudes[j];\n\n            let sum = 0;\n            for (let k = 0; k < num_frequency_bins; ++k) { // num frequency bins (e.g., 201)\n                sum += filter[k] * magnitude[k];\n            }\n\n            mel_spec[\n                transpose\n                    ? j * num_mel_filters + i\n                    : i * d1 + j\n            ] = Math.max(mel_floor, sum);\n        }\n    }\n\n    if (power !== null && log_mel !== null) {\n        const o = Math.min(mel_spec.length, d1 * num_mel_filters);\n        switch (log_mel) {\n            case 'log':\n                for (let i = 0; i < o; ++i) {\n                    mel_spec[i] = Math.log(mel_spec[i]);\n                }\n                break;\n            case 'log10':\n                for (let i = 0; i < o; ++i) {\n                    mel_spec[i] = Math.log10(mel_spec[i]);\n                }\n                break;\n            case 'dB':\n                if (power === 1.0) {\n                    // NOTE: operates in-place\n                    amplitude_to_db(mel_spec, reference, min_value, db_range);\n                } else if (power === 2.0) {\n                    power_to_db(mel_spec, reference, min_value, db_range);\n                } else {\n                    throw new Error(`Cannot use log_mel option '${log_mel}' with power ${power}`)\n                }\n                break;\n            default:\n                throw new Error(`log_mel must be one of null, 'log', 'log10' or 'dB'. Got '${log_mel}'`);\n        }\n    }\n\n    return { data: mel_spec, dims };\n}\n\n/**\n * Returns an array containing the specified window.\n * @param {number} window_length The length of the window in samples.\n * @param {string} name The name of the window function.\n * @param {Object} options Additional options.\n * @param {boolean} [options.periodic=true] Whether the window is periodic or symmetric.\n * @param {number} [options.frame_length=null] The length of the analysis frames in samples.\n * Provide a value for `frame_length` if the window is smaller than the frame length, so that it will be zero-padded.\n * @param {boolean} [options.center=true] Whether to center the window inside the FFT buffer. Only used when `frame_length` is provided.\n * @returns {Float64Array} The window of shape `(window_length,)` or `(frame_length,)`.\n */\nexport function window_function(window_length, name, {\n    periodic = true,\n    frame_length = null,\n    center = true,\n} = {}) {\n    const length = periodic ? window_length + 1 : window_length;\n    let window;\n    switch (name) {\n        case 'boxcar':\n            window = new Float64Array(length).fill(1.0);\n            break;\n        case 'hann':\n        case 'hann_window':\n            window = hanning(length);\n            break;\n        case 'povey':\n            window = hanning(length).map(x => Math.pow(x, 0.85));\n            break;\n        default:\n            throw new Error(`Unknown window type ${name}.`);\n    }\n    if (periodic) {\n        window = window.subarray(0, window_length);\n    }\n    if (frame_length === null) {\n        return window;\n    }\n    if (window_length > frame_length) {\n        throw new Error(`Length of the window (${window_length}) may not be larger than frame_length (${frame_length})`);\n    }\n\n    return window;\n}\n","\n/**\n * @file Processors are used to prepare non-textual inputs (e.g., image or audio) for a model.\n * \n * **Example:** Using a `WhisperProcessor` to prepare an audio input for a model.\n * ```javascript\n * import { AutoProcessor, read_audio } from '@xenova/transformers';\n *\n * let processor = await AutoProcessor.from_pretrained('openai/whisper-tiny.en');\n * let audio = await read_audio('https://huggingface.co/datasets/Narsil/asr_dummy/resolve/main/mlk.flac', 16000);\n * let { input_features } = await processor(audio);\n * // Tensor {\n * //   data: Float32Array(240000) [0.4752984642982483, 0.5597258806228638, 0.56434166431427, ...],\n * //   dims: [1, 80, 3000],\n * //   type: 'float32',\n * //   size: 240000,\n * // }\n * ```\n * \n * @module processors\n */\nimport {\n    Callable,\n    calculateDimensions,\n    calculateReflectOffset,\n} from './utils/core.js';\n\nimport {\n    getModelJSON,\n} from './utils/hub.js';\n\nimport {\n    min,\n    max,\n    softmax,\n    bankers_round,\n} from './utils/maths.js';\n\n\nimport { Tensor, permute, cat, interpolate, stack } from './utils/tensor.js';\n\nimport { RawImage } from './utils/image.js';\nimport {\n    window_function,\n    spectrogram,\n    mel_filter_bank,\n} from './utils/audio.js';\n\n\n// Helper functions\n\n/**\n * Converts bounding boxes from center format to corners format.\n * \n * @param {number[]} arr The coordinate for the center of the box and its width, height dimensions (center_x, center_y, width, height)\n * @returns {number[]} The coodinates for the top-left and bottom-right corners of the box (top_left_x, top_left_y, bottom_right_x, bottom_right_y)\n */\nfunction center_to_corners_format([centerX, centerY, width, height]) {\n    return [\n        centerX - width / 2,\n        centerY - height / 2,\n        centerX + width / 2,\n        centerY + height / 2\n    ];\n}\n\n/**\n * Post-processes the outputs of the model (for object detection).\n * @param {Object} outputs The outputs of the model that must be post-processed\n * @param {Tensor} outputs.logits The logits\n * @param {Tensor} outputs.pred_boxes The predicted boxes.\n * @param {number} [threshold=0.5] The threshold to use for the scores.\n * @param {number[][]} [target_sizes=null] The sizes of the original images.\n * @param {boolean} [is_zero_shot=false] Whether zero-shot object detection was performed.\n * @return {Object[]} An array of objects containing the post-processed outputs.\n * @private\n */\nfunction post_process_object_detection(outputs, threshold = 0.5, target_sizes = null, is_zero_shot = false) {\n    const out_logits = outputs.logits;\n    const out_bbox = outputs.pred_boxes;\n    const [batch_size, num_boxes, num_classes] = out_logits.dims;\n\n    if (target_sizes !== null && target_sizes.length !== batch_size) {\n        throw Error(\"Make sure that you pass in as many target sizes as the batch dimension of the logits\")\n    }\n    let toReturn = [];\n    for (let i = 0; i < batch_size; ++i) {\n        let target_size = target_sizes !== null ? target_sizes[i] : null;\n        let info = {\n            boxes: [],\n            classes: [],\n            scores: []\n        }\n        let logits = out_logits[i];\n        let bbox = out_bbox[i];\n\n        for (let j = 0; j < num_boxes; ++j) {\n            let logit = logits[j];\n\n            let indices = [];\n            let probs;\n            if (is_zero_shot) {\n                // Get indices of classes with high enough probability\n                probs = logit.sigmoid().data;\n                for (let k = 0; k < probs.length; ++k) {\n                    if (probs[k] > threshold) {\n                        indices.push(k);\n                    }\n                }\n\n            } else {\n                // Get most probable class\n                let maxIndex = max(logit.data)[1];\n\n                if (maxIndex === num_classes - 1) {\n                    // This is the background class, skip it\n                    continue;\n                }\n                indices.push(maxIndex);\n\n                // Compute softmax over classes\n                probs = softmax(logit.data);\n            }\n\n            for (const index of indices) {\n\n                // Some class has a high enough probability\n                /** @type {number[]} */\n                let box = bbox[j].data;\n\n                // convert to [x0, y0, x1, y1] format\n                box = center_to_corners_format(box)\n                if (target_size !== null) {\n                    box = box.map((x, i) => x * target_size[(i + 1) % 2])\n                }\n\n                info.boxes.push(box);\n                info.classes.push(index);\n                info.scores.push(probs[index]);\n            }\n        }\n        toReturn.push(info);\n    }\n    return toReturn;\n}\n\n/**\n * Named tuple to indicate the order we are using is (height x width), even though\n * the Graphics’ industry standard is (width x height).\n * @typedef {[height: number, width: number]} HeightWidth\n */\n\n/**\n * Helper function to validate audio inputs.\n * @param {any} audio The audio data.\n * @param {string} feature_extractor The name of the feature extractor.\n * @private\n */\nfunction validate_audio_inputs(audio, feature_extractor) {\n    if (!(audio instanceof Float32Array || audio instanceof Float64Array)) {\n        throw new Error(\n            `${feature_extractor} expects input to be a Float32Array or a Float64Array, but got ${audio?.constructor?.name ?? typeof audio} instead. ` +\n            `If using the feature extractor directly, remember to use \\`read_audio(url, sampling_rate)\\` to obtain the raw audio data of the file/url.`\n        )\n    }\n}\n\n/**\n * Helper function to constrain a value to be a multiple of a number.\n * @param {number} val The value to constrain.\n * @param {number} multiple The number to constrain to.\n * @param {number} [minVal=0] The minimum value to constrain to.\n * @param {number} [maxVal=null] The maximum value to constrain to.\n * @returns {number} The constrained value.\n * @private\n */\nfunction constraint_to_multiple_of(val, multiple, minVal = 0, maxVal = null) {\n    const a = val / multiple;\n    let x = bankers_round(a) * multiple;\n\n    if (maxVal !== null && x > maxVal) {\n        x = Math.floor(a) * multiple;\n    }\n\n    if (x < minVal) {\n        x = Math.ceil(a) * multiple;\n    }\n\n    return x;\n}\n\n/**\n * Rounds the height and width down to the closest multiple of size_divisibility\n * @param {[number, number]} size The size of the image\n * @param {number} divisor The divisor to use.\n * @returns {[number, number]} The rounded size.\n */\nfunction enforce_size_divisibility([width, height], divisor) {\n    return [\n        Math.max(Math.floor(width / divisor), 1) * divisor,\n        Math.max(Math.floor(height / divisor), 1) * divisor\n    ];\n}\n\n\n/**\n * Base class for feature extractors.\n *\n * @extends Callable\n */\nexport class FeatureExtractor extends Callable {\n    /**\n     * Constructs a new FeatureExtractor instance.\n     *\n     * @param {Object} config The configuration for the feature extractor.\n     */\n    constructor(config) {\n        super();\n        this.config = config\n    }\n}\n\n/**\n * @typedef {object} ImageFeatureExtractorResult\n * @property {Tensor} pixel_values The pixel values of the batched preprocessed images.\n * @property {HeightWidth[]} original_sizes Array of two-dimensional tuples like [[480, 640]].\n * @property {HeightWidth[]} reshaped_input_sizes Array of two-dimensional tuples like [[1000, 1330]].\n */\n\n/**\n * Feature extractor for image models.\n *\n * @extends FeatureExtractor\n */\nexport class ImageFeatureExtractor extends FeatureExtractor {\n\n    /**\n     * Constructs a new ImageFeatureExtractor instance.\n     *\n     * @param {Object} config The configuration for the feature extractor.\n     * @param {number[]} config.image_mean The mean values for image normalization.\n     * @param {number[]} config.image_std The standard deviation values for image normalization.\n     * @param {boolean} config.do_rescale Whether to rescale the image pixel values to the [0,1] range.\n     * @param {number} config.rescale_factor The factor to use for rescaling the image pixel values.\n     * @param {boolean} config.do_normalize Whether to normalize the image pixel values.\n     * @param {boolean} config.do_resize Whether to resize the image.\n     * @param {number} config.resample What method to use for resampling.\n     * @param {number|Object} config.size The size to resize the image to.\n     * @param {boolean} [config.do_flip_channel_order=false] Whether to flip the color channels from RGB to BGR.\n     * Can be overridden by the `do_flip_channel_order` parameter in the `preprocess` method.\n     */\n    constructor(config) {\n        super(config);\n\n        this.image_mean = this.config.image_mean ?? this.config.mean;\n        this.image_std = this.config.image_std ?? this.config.std;\n\n        this.resample = this.config.resample ?? 2; // 2 => bilinear\n        this.do_rescale = this.config.do_rescale ?? true;\n        this.rescale_factor = this.config.rescale_factor ?? (1 / 255);\n        this.do_normalize = this.config.do_normalize;\n\n        this.do_resize = this.config.do_resize;\n        this.do_thumbnail = this.config.do_thumbnail;\n        this.size = this.config.size;\n        this.size_divisibility = this.config.size_divisibility ?? this.config.size_divisor;\n\n        this.do_center_crop = this.config.do_center_crop;\n        this.crop_size = this.config.crop_size;\n        this.do_convert_rgb = this.config.do_convert_rgb ?? true;\n        this.do_crop_margin = this.config.do_crop_margin;\n\n        this.pad_size = this.config.pad_size;\n        this.do_pad = this.config.do_pad;\n\n        if (this.do_pad && !this.pad_size && this.size && this.size.width !== undefined && this.size.height !== undefined) {\n            // Should pad, but no pad size specified\n            // We infer the pad size from the resize size\n            this.pad_size = this.size\n        }\n\n        this.do_flip_channel_order = this.config.do_flip_channel_order ?? false;\n    }\n\n    /**\n     * Resize the image to make a thumbnail. The image is resized so that no dimension is larger than any\n     * corresponding dimension of the specified size.\n     * @param {RawImage} image The image to be resized.\n     * @param {{height:number, width:number}} size The size `{\"height\": h, \"width\": w}` to resize the image to.\n     * @param {string | 0 | 1 | 2 | 3 | 4 | 5} [resample=2] The resampling filter to use.\n     * @returns {Promise<RawImage>} The resized image.\n     */\n    async thumbnail(image, size, resample = 2) {\n        const input_height = image.height;\n        const input_width = image.width;\n\n        const output_height = size.height;\n        const output_width = size.width;\n\n        // We always resize to the smallest of either the input or output size.\n        let height = Math.min(input_height, output_height)\n        let width = Math.min(input_width, output_width)\n\n        if (height === input_height && width === input_width) {\n            return image;\n        }\n        if (input_height > input_width) {\n            width = Math.floor(input_width * height / input_height);\n        } else if (input_width > input_height) {\n            height = Math.floor(input_height * width / input_width);\n        }\n        return await image.resize(width, height, { resample });\n    }\n\n\n    /**\n     * Crops the margin of the image. Gray pixels are considered margin (i.e., pixels with a value below the threshold).\n     * @param {RawImage} image The image to be cropped.\n     * @param {number} gray_threshold Value below which pixels are considered to be gray.\n     * @returns {Promise<RawImage>} The cropped image.\n     */\n    async crop_margin(image, gray_threshold = 200) {\n\n        const gray_image = image.clone().grayscale();\n\n        const minValue = min(gray_image.data)[0];\n        const maxValue = max(gray_image.data)[0];\n        const diff = maxValue - minValue;\n\n        if (diff === 0) {\n            return image;\n        }\n\n        const threshold = gray_threshold / 255;\n\n        let x_min = gray_image.width, y_min = gray_image.height, x_max = 0, y_max = 0;\n        for (let j = 0; j < gray_image.height; ++j) {\n            const row = j * gray_image.width;\n            for (let i = 0; i < gray_image.width; ++i) {\n                if ((gray_image.data[row + i] - minValue) / diff < threshold) {\n                    // We have a non-zero pixel, so we update the min/max values accordingly\n                    x_min = Math.min(x_min, i);\n                    y_min = Math.min(y_min, j);\n                    x_max = Math.max(x_max, i);\n                    y_max = Math.max(y_max, j);\n                }\n            }\n        }\n\n        image = await image.crop([x_min, y_min, x_max, y_max]);\n        return image;\n    }\n\n    /**\n     * Pad the image by a certain amount.\n     * @param {Float32Array} pixelData The pixel data to pad.\n     * @param {number[]} imgDims The dimensions of the image (height, width, channels).\n     * @param {{width:number; height:number}|number} padSize The dimensions of the padded image.\n     * @param {Object} options The options for padding.\n     * @param {'constant'|'symmetric'} [options.mode='constant'] The type of padding to add.\n     * @param {boolean} [options.center=false] Whether to center the image.\n     * @param {number} [options.constant_values=0] The constant value to use for padding.\n     * @returns {[Float32Array, number[]]} The padded pixel data and image dimensions.\n     */\n    pad_image(pixelData, imgDims, padSize, {\n        mode = 'constant',\n        center = false,\n        constant_values = 0,\n    } = {}) {\n        const [imageHeight, imageWidth, imageChannels] = imgDims;\n\n        let paddedImageWidth, paddedImageHeight;\n        if (typeof padSize === 'number') {\n            paddedImageWidth = padSize;\n            paddedImageHeight = padSize;\n        } else {\n            paddedImageWidth = padSize.width;\n            paddedImageHeight = padSize.height;\n        }\n\n        // Only add padding if there is a difference in size\n        if (paddedImageWidth !== imageWidth || paddedImageHeight !== imageHeight) {\n            const paddedPixelData = new Float32Array(paddedImageWidth * paddedImageHeight * imageChannels);\n            if (Array.isArray(constant_values)) {\n                // Fill with constant values, cycling through the array\n                for (let i = 0; i < paddedPixelData.length; ++i) {\n                    paddedPixelData[i] = constant_values[i % imageChannels];\n                }\n            } else if (constant_values !== 0) {\n                paddedPixelData.fill(constant_values);\n            }\n\n            const [left, top] = center\n                ? [Math.floor((paddedImageWidth - imageWidth) / 2), Math.floor((paddedImageHeight - imageHeight) / 2)]\n                : [0, 0];\n\n            // Copy the original image into the padded image\n            for (let i = 0; i < imageHeight; ++i) {\n                const a = (i + top) * paddedImageWidth;\n                const b = i * imageWidth;\n                for (let j = 0; j < imageWidth; ++j) {\n                    const c = (a + j + left) * imageChannels;\n                    const d = (b + j) * imageChannels;\n                    for (let k = 0; k < imageChannels; ++k) {\n                        paddedPixelData[c + k] = pixelData[d + k];\n                    }\n                }\n            }\n\n            if (mode === 'symmetric') {\n                if (center) {\n                    throw new Error('`center` padding is not supported when `mode` is set to `symmetric`.');\n                    // TODO: Implement this\n                }\n                const h1 = imageHeight - 1;\n                const w1 = imageWidth - 1;\n                for (let i = 0; i < paddedImageHeight; ++i) {\n                    const a = i * paddedImageWidth;\n                    const b = calculateReflectOffset(i, h1) * imageWidth;\n\n                    for (let j = 0; j < paddedImageWidth; ++j) {\n                        if (i < imageHeight && j < imageWidth) continue; // Do not overwrite original image\n                        const c = (a + j) * imageChannels;\n                        const d = (b + calculateReflectOffset(j, w1)) * imageChannels;\n\n                        // Copy channel-wise\n                        for (let k = 0; k < imageChannels; ++k) {\n                            paddedPixelData[c + k] = pixelData[d + k];\n                        }\n                    }\n                }\n            }\n\n\n            // Update pixel data and image dimensions\n            pixelData = paddedPixelData;\n            imgDims = [paddedImageHeight, paddedImageWidth, imageChannels]\n        }\n        return [pixelData, imgDims];\n    }\n\n    /**\n     * Rescale the image' pixel values by `this.rescale_factor`.\n     * @param {Float32Array} pixelData The pixel data to rescale.\n     * @returns {void}\n     */\n    rescale(pixelData) {\n        for (let i = 0; i < pixelData.length; ++i) {\n            pixelData[i] = this.rescale_factor * pixelData[i];\n        }\n    }\n\n    /**\n     * Find the target (width, height) dimension of the output image after\n     * resizing given the input image and the desired size.\n     * @param {RawImage} image The image to resize.\n     * @param {any} size The size to use for resizing the image. \n     * @returns {[number, number]} The target (width, height) dimension of the output image after resizing.\n     */\n    get_resize_output_image_size(image, size) {\n        // `size` comes in many forms, so we need to handle them all here:\n        // 1. `size` is an integer, in which case we resize the image to be a square \n\n        const [srcWidth, srcHeight] = image.size;\n\n        let shortest_edge;\n        let longest_edge;\n\n        if (this.do_thumbnail) {\n            // NOTE: custom logic for `Donut` models\n            const { height, width } = size;\n            shortest_edge = Math.min(height, width)\n        }\n        // Support both formats for backwards compatibility\n        else if (Number.isInteger(size)) {\n            shortest_edge = size;\n            longest_edge = this.config.max_size ?? shortest_edge;\n\n        } else if (size !== undefined) {\n            // Extract known properties from `size`\n            shortest_edge = size.shortest_edge;\n            longest_edge = size.longest_edge;\n        }\n\n        // If `longest_edge` and `shortest_edge` are set, maintain aspect ratio and resize to `shortest_edge`\n        // while keeping the largest dimension <= `longest_edge`\n        if (shortest_edge !== undefined || longest_edge !== undefined) {\n            // http://opensourcehacker.com/2011/12/01/calculate-aspect-ratio-conserving-resize-for-images-in-javascript/\n            // Try resize so that shortest edge is `shortest_edge` (target)\n            const shortResizeFactor = shortest_edge === undefined\n                ? 1 // If `shortest_edge` is not set, don't upscale\n                : Math.max(shortest_edge / srcWidth, shortest_edge / srcHeight);\n\n            const newWidth = srcWidth * shortResizeFactor;\n            const newHeight = srcHeight * shortResizeFactor;\n\n            // The new width and height might be greater than `longest_edge`, so\n            // we downscale again to ensure the largest dimension is `longest_edge` \n            const longResizeFactor = longest_edge === undefined\n                ? 1 // If `longest_edge` is not set, don't downscale\n                : Math.min(longest_edge / newWidth, longest_edge / newHeight);\n\n            // To avoid certain floating point precision issues, we round to 2 decimal places\n            let finalWidth = Math.floor(Number((newWidth * longResizeFactor).toFixed(2)));\n            let finalHeight = Math.floor(Number((newHeight * longResizeFactor).toFixed(2)));\n\n            if (this.size_divisibility !== undefined) {\n                [finalWidth, finalHeight] = enforce_size_divisibility([finalWidth, finalHeight], this.size_divisibility)\n            }\n            return [finalWidth, finalHeight];\n\n        } else if (size !== undefined && size.width !== undefined && size.height !== undefined) {\n            // If `width` and `height` are set, resize to those dimensions\n\n            let newWidth = size.width;\n            let newHeight = size.height;\n\n            // Custom for DPT models\n            if (this.config.keep_aspect_ratio && this.config.ensure_multiple_of) {\n\n                // determine new height and width\n                let scale_height = newHeight / srcHeight;\n                let scale_width = newWidth / srcWidth;\n\n                // scale as little as possible\n                if (Math.abs(1 - scale_width) < Math.abs(1 - scale_height)) {\n                    // fit width\n                    scale_height = scale_width;\n                } else {\n                    // fit height\n                    scale_width = scale_height;\n                }\n\n                newHeight = constraint_to_multiple_of(scale_height * srcHeight, this.config.ensure_multiple_of);\n                newWidth = constraint_to_multiple_of(scale_width * srcWidth, this.config.ensure_multiple_of);\n            }\n\n            return [newWidth, newHeight];\n\n        } else if (this.size_divisibility !== undefined) {\n            return enforce_size_divisibility([srcWidth, srcHeight], this.size_divisibility);\n        } else {\n            throw new Error(`Could not resize image due to unsupported \\`this.size\\` option in config: ${JSON.stringify(size)}`);\n        }\n    }\n\n    /**\n     * Resizes the image.\n     * @param {RawImage} image The image to resize.\n     * @returns {Promise<RawImage>} The resized image.\n     */\n    async resize(image) {\n        const [newWidth, newHeight] = this.get_resize_output_image_size(image, this.size);\n        return await image.resize(newWidth, newHeight, {\n            resample: this.resample,\n        });\n    }\n\n    /**\n     * @typedef {object} PreprocessedImage\n     * @property {HeightWidth} original_size The original size of the image.\n     * @property {HeightWidth} reshaped_input_size The reshaped input size of the image.\n     * @property {Tensor} pixel_values The pixel values of the preprocessed image.\n     */\n\n    /**\n     * Preprocesses the given image.\n     *\n     * @param {RawImage} image The image to preprocess.\n     * @param {Object} overrides The overrides for the preprocessing options.\n     * @returns {Promise<PreprocessedImage>} The preprocessed image.\n     */\n    async preprocess(image, {\n        do_normalize = null,\n        do_pad = null,\n        do_convert_rgb = null,\n        do_convert_grayscale = null,\n        do_flip_channel_order = null,\n    } = {}) {\n        if (this.do_crop_margin) {\n            // NOTE: Specific to nougat processors. This is done before resizing,\n            // and can be interpreted as a pre-preprocessing step.\n            image = await this.crop_margin(image);\n        }\n\n        const [srcWidth, srcHeight] = image.size; // original image size\n\n        // Convert image to RGB if specified in config.\n        if (do_convert_rgb ?? this.do_convert_rgb) {\n            image = image.rgb();\n        } else if (do_convert_grayscale) {\n            image = image.grayscale();\n        }\n\n        // TODO:\n        // For efficiency reasons, it might be best to merge the resize and center crop operations into one.\n\n        // Resize all images\n        if (this.do_resize) {\n            image = await this.resize(image);\n        }\n\n        // Resize the image using thumbnail method.\n        if (this.do_thumbnail) {\n            image = await this.thumbnail(image, this.size, this.resample);\n        }\n\n        if (this.do_center_crop) {\n\n            let crop_width;\n            let crop_height;\n            if (Number.isInteger(this.crop_size)) {\n                crop_width = this.crop_size;\n                crop_height = this.crop_size;\n            } else {\n                crop_width = this.crop_size.width;\n                crop_height = this.crop_size.height;\n            }\n\n            image = await image.center_crop(crop_width, crop_height);\n        }\n\n        /** @type {HeightWidth} */\n        const reshaped_input_size = [image.height, image.width];\n\n        // NOTE: All pixel-level manipulation (i.e., modifying `pixelData`)\n        // occurs with data in the hwc format (height, width, channels), \n        // to emulate the behavior of the original Python code (w/ numpy).\n        let pixelData = Float32Array.from(image.data);\n        let imgDims = [image.height, image.width, image.channels];\n\n        if (this.do_rescale) {\n            this.rescale(pixelData);\n        }\n\n        if (do_normalize ?? this.do_normalize) {\n            let image_mean = this.image_mean;\n            if (!Array.isArray(this.image_mean)) {\n                image_mean = new Array(image.channels).fill(image_mean);\n            }\n\n            let image_std = this.image_std;\n            if (!Array.isArray(this.image_std)) {\n                image_std = new Array(image.channels).fill(image_mean);\n            }\n\n            if (image_mean.length !== image.channels || image_std.length !== image.channels) {\n                throw new Error(`When set to arrays, the length of \\`image_mean\\` (${image_mean.length}) and \\`image_std\\` (${image_std.length}) must match the number of channels in the image (${image.channels}).`);\n            }\n\n            for (let i = 0; i < pixelData.length; i += image.channels) {\n                for (let j = 0; j < image.channels; ++j) {\n                    pixelData[i + j] = (pixelData[i + j] - image_mean[j]) / image_std[j];\n                }\n            }\n        }\n\n        // do padding after rescaling/normalizing\n        if (do_pad ?? this.do_pad) {\n            if (this.pad_size) {\n                const padded = this.pad_image(pixelData, [image.height, image.width, image.channels], this.pad_size);\n                [pixelData, imgDims] = padded; // Update pixel data and image dimensions\n            } else if (this.size_divisibility) {\n                const [paddedWidth, paddedHeight] = enforce_size_divisibility([imgDims[1], imgDims[0]], this.size_divisibility);\n                [pixelData, imgDims] = this.pad_image(pixelData, imgDims, { width: paddedWidth, height: paddedHeight });\n            }\n        }\n\n        if (do_flip_channel_order ?? this.do_flip_channel_order) {\n            if (imgDims[2] !== 3) {\n                throw new Error('Flipping channel order is only supported for RGB images.');\n            }\n            // Convert RGB to BGR\n            for (let i = 0; i < pixelData.length; i += 3) {\n                const temp = pixelData[i];\n                pixelData[i] = pixelData[i + 2];\n                pixelData[i + 2] = temp;\n            }\n        }\n\n        const pixel_values = new Tensor('float32', pixelData, imgDims)\n            .permute(2, 0, 1); // convert to channel dimension format (hwc -> chw)\n\n        return {\n            original_size: [srcHeight, srcWidth],\n            reshaped_input_size: reshaped_input_size,\n            pixel_values: pixel_values,\n        }\n    }\n\n    /**\n     * Calls the feature extraction process on an array of images,\n     * preprocesses each image, and concatenates the resulting\n     * features into a single Tensor.\n     * @param {RawImage[]} images The image(s) to extract features from.\n     * @param {...any} args Additional arguments.\n     * @returns {Promise<ImageFeatureExtractorResult>} An object containing the concatenated pixel values (and other metadata) of the preprocessed images.\n     */\n    async _call(images, ...args) {\n        if (!Array.isArray(images)) {\n            images = [images];\n        }\n        /** @type {PreprocessedImage[]} */\n        const imageData = await Promise.all(images.map(x => this.preprocess(x)));\n\n        // Stack pixel values\n        const pixel_values = stack(imageData.map(x => x.pixel_values), 0);\n\n        return {\n            pixel_values: pixel_values,\n\n            // Original sizes of images\n            original_sizes: imageData.map(x => x.original_size),\n\n            // Reshaped sizes of images, before padding or cropping\n            reshaped_input_sizes: imageData.map(x => x.reshaped_input_size),\n        }\n    }\n\n}\n\nexport class SegformerFeatureExtractor extends ImageFeatureExtractor {\n\n    /**\n     * Converts the output of `SegformerForSemanticSegmentation` into semantic segmentation maps.\n     * @param {*} outputs Raw outputs of the model.\n     * @param {number[][]} [target_sizes=null] List of tuples corresponding to the requested final size\n     * (height, width) of each prediction. If unset, predictions will not be resized.\n     * @returns {{segmentation: Tensor; labels: number[]}[]} The semantic segmentation maps.\n     */\n    post_process_semantic_segmentation(outputs, target_sizes = null) {\n\n        const logits = outputs.logits;\n        const batch_size = logits.dims[0];\n\n        if (target_sizes !== null && target_sizes.length !== batch_size) {\n            throw Error(\"Make sure that you pass in as many target sizes as the batch dimension of the logits\")\n        }\n\n        const toReturn = [];\n        for (let i = 0; i < batch_size; ++i) {\n            const target_size = target_sizes !== null ? target_sizes[i] : null;\n\n            let data = logits[i];\n\n            // 1. If target_size is not null, we need to resize the masks to the target size\n            if (target_size !== null) {\n                // resize the masks to the target size\n                data = interpolate(data, target_size, 'bilinear', false);\n            }\n            const [height, width] = target_size ?? data.dims.slice(-2);\n\n            const segmentation = new Tensor(\n                'int32',\n                new Int32Array(height * width),\n                [height, width]\n            );\n\n            // Buffer to store current largest value\n            const buffer = data[0].data;\n            for (let j = 1; j < data.dims[0]; ++j) {\n                const row = data[j].data;\n                for (let k = 0; k < row.length; ++k) {\n                    if (row[k] > buffer[k]) {\n                        buffer[k] = row[k];\n                        segmentation.data[k] = j;\n                    }\n                }\n            }\n\n            // Store which objects have labels\n            // This is much more efficient that creating a set of the final values\n            const hasLabel = new Array(data.dims[0]);\n            const out = segmentation.data;\n            for (let j = 0; j < out.length; ++j) {\n                const index = out[j];\n                hasLabel[index] = index;\n            }\n            /** @type {number[]} The unique list of labels that were detected */\n            const labels = hasLabel.filter(x => x !== undefined);\n\n            toReturn.push({ segmentation, labels });\n        }\n        return toReturn;\n    }\n}\nexport class DPTFeatureExtractor extends ImageFeatureExtractor { }\nexport class DPTImageProcessor extends DPTFeatureExtractor { } // NOTE: extends DPTFeatureExtractor\nexport class BitImageProcessor extends ImageFeatureExtractor { }\nexport class GLPNFeatureExtractor extends ImageFeatureExtractor { }\nexport class CLIPFeatureExtractor extends ImageFeatureExtractor { }\nexport class ChineseCLIPFeatureExtractor extends ImageFeatureExtractor { }\nexport class SiglipImageProcessor extends ImageFeatureExtractor { }\nexport class ConvNextFeatureExtractor extends ImageFeatureExtractor {\n    constructor(config) {\n        super(config);\n\n        /**\n         * Percentage of the image to crop. Only has an effect if this.size < 384.\n         */\n        this.crop_pct = this.config.crop_pct ?? (224 / 256);\n    }\n\n    async resize(image) {\n        const shortest_edge = this.size?.shortest_edge;\n        if (shortest_edge === undefined) {\n            throw new Error(`Size dictionary must contain 'shortest_edge' key.`);\n        }\n\n        if (shortest_edge < 384) {\n            // maintain same ratio, resizing shortest edge to shortest_edge/crop_pct\n            const resize_shortest_edge = Math.floor(shortest_edge / this.crop_pct);\n\n            const [newWidth, newHeight] = this.get_resize_output_image_size(image, {\n                shortest_edge: resize_shortest_edge,\n            });\n\n            image = await image.resize(newWidth, newHeight, {\n                resample: this.resample,\n            });\n\n            // then crop to (shortest_edge, shortest_edge)\n            image = await image.center_crop(shortest_edge, shortest_edge);\n        } else {\n            // warping (no cropping) when evaluated at 384 or larger\n            image = await image.resize(shortest_edge, shortest_edge, {\n                resample: this.resample,\n            });\n        }\n\n        return image;\n    }\n}\nexport class ConvNextImageProcessor extends ConvNextFeatureExtractor { }  // NOTE extends ConvNextFeatureExtractor\nexport class ViTFeatureExtractor extends ImageFeatureExtractor { }\nexport class ViTImageProcessor extends ImageFeatureExtractor { }\n\nexport class EfficientNetImageProcessor extends ImageFeatureExtractor {\n    constructor(config) {\n        super(config);\n        this.include_top = this.config.include_top ?? true;\n        if (this.include_top) {\n            this.image_std = this.image_std.map(x => x * x);\n        }\n    }\n}\n\n\nexport class MobileViTFeatureExtractor extends ImageFeatureExtractor { }\nexport class MobileViTImageProcessor extends MobileViTFeatureExtractor { } // NOTE extends MobileViTFeatureExtractor\nexport class OwlViTFeatureExtractor extends ImageFeatureExtractor {\n    /** @type {post_process_object_detection} */\n    post_process_object_detection(...args) {\n        return post_process_object_detection(...args);\n    }\n}\nexport class Owlv2ImageProcessor extends OwlViTFeatureExtractor { } // NOTE extends OwlViTFeatureExtractor\n\nexport class DeiTFeatureExtractor extends ImageFeatureExtractor { }\nexport class BeitFeatureExtractor extends ImageFeatureExtractor { }\nexport class DonutFeatureExtractor extends ImageFeatureExtractor {\n    pad_image(pixelData, imgDims, padSize, options = {}) {\n        const [imageHeight, imageWidth, imageChannels] = imgDims;\n\n        let image_mean = this.image_mean;\n        if (!Array.isArray(this.image_mean)) {\n            image_mean = new Array(imageChannels).fill(image_mean);\n        }\n\n        let image_std = this.image_std;\n        if (!Array.isArray(image_std)) {\n            image_std = new Array(imageChannels).fill(image_mean);\n        }\n\n        const constant_values = image_mean.map((x, i) => - x / image_std[i]);\n\n        return super.pad_image(pixelData, imgDims, padSize, {\n            center: true,\n\n            // Since normalization is done after padding, we need to use certain constant values to ensure the same behaviour is observed.\n            // For more information, see https://github.com/huggingface/transformers/blob/main/src/transformers/models/donut/image_processing_donut.py#L433-L451\n            constant_values: constant_values,\n            ...options,\n        });\n    }\n}\nexport class NougatImageProcessor extends DonutFeatureExtractor { } // NOTE extends DonutFeatureExtractor\n\n/**\n * @typedef {object} DetrFeatureExtractorResultProps\n * @property {Tensor} pixel_mask\n * @typedef {ImageFeatureExtractorResult & DetrFeatureExtractorResultProps} DetrFeatureExtractorResult\n */\n\n/**\n * Detr Feature Extractor.\n *\n * @extends ImageFeatureExtractor\n */\nexport class DetrFeatureExtractor extends ImageFeatureExtractor {\n    /**\n     * Calls the feature extraction process on an array of images, preprocesses\n     * each image, and concatenates the resulting features into a single Tensor.\n     * @param {RawImage[]} images The image(s) to extract features from.\n     * @returns {Promise<DetrFeatureExtractorResult>} An object containing the concatenated pixel values of the preprocessed images.\n     */\n    async _call(images) {\n        const result = await super._call(images);\n\n        // TODO support differently-sized images, for now assume all images are the same size.\n        // TODO support different mask sizes (not just 64x64)\n        // Currently, just fill pixel mask with 1s\n        const maskSize = [result.pixel_values.dims[0], 64, 64];\n        const pixel_mask = new Tensor(\n            'int64',\n            new BigInt64Array(maskSize.reduce((a, b) => a * b)).fill(1n),\n            maskSize\n        );\n\n        return { ...result, pixel_mask };\n    }\n\n    /**\n     * Post-processes the outputs of the model (for object detection).\n     * @param {Object} outputs The outputs of the model that must be post-processed\n     * @param {Tensor} outputs.logits The logits\n     * @param {Tensor} outputs.pred_boxes The predicted boxes.\n     * @return {Object[]} An array of objects containing the post-processed outputs.\n     */\n\n    /** @type {post_process_object_detection} */\n    post_process_object_detection(...args) {\n        return post_process_object_detection(...args);\n    }\n\n    /**\n     * Binarize the given masks using `object_mask_threshold`, it returns the associated values of `masks`, `scores` and `labels`.\n     * @param {Tensor} class_logits The class logits.\n     * @param {Tensor} mask_logits The mask logits.\n     * @param {number} object_mask_threshold A number between 0 and 1 used to binarize the masks.\n     * @param {number} num_labels The number of labels.\n     * @returns {[Tensor[], number[], number[]]} The binarized masks, the scores, and the labels.\n     */\n    remove_low_and_no_objects(class_logits, mask_logits, object_mask_threshold, num_labels) {\n\n        let mask_probs_item = [];\n        let pred_scores_item = [];\n        let pred_labels_item = [];\n\n        for (let j = 0; j < class_logits.dims[0]; ++j) {\n            let cls = class_logits[j];\n            let mask = mask_logits[j];\n\n            let pred_label = max(cls.data)[1];\n            if (pred_label === num_labels) {\n                // Is the background, so we ignore it\n                continue;\n            }\n\n            let scores = softmax(cls.data);\n            let pred_score = scores[pred_label];\n            if (pred_score > object_mask_threshold) {\n                mask_probs_item.push(mask);\n                pred_scores_item.push(pred_score);\n                pred_labels_item.push(pred_label);\n            }\n        }\n\n        return [mask_probs_item, pred_scores_item, pred_labels_item];\n\n    }\n\n    /**\n     * Checks whether the segment is valid or not.\n     * @param {Int32Array} mask_labels Labels for each pixel in the mask.\n     * @param {Tensor[]} mask_probs Probabilities for each pixel in the masks.\n     * @param {number} k The class id of the segment.\n     * @param {number} mask_threshold The mask threshold.\n     * @param {number} overlap_mask_area_threshold The overlap mask area threshold.\n     * @returns {[boolean, number[]]} Whether the segment is valid or not, and the indices of the valid labels.\n     */\n    check_segment_validity(\n        mask_labels,\n        mask_probs,\n        k,\n        mask_threshold = 0.5,\n        overlap_mask_area_threshold = 0.8\n    ) {\n        // mask_k is a 1D array of indices, indicating where the mask is equal to k\n        let mask_k = [];\n        let mask_k_area = 0;\n        let original_area = 0;\n\n        // Compute the area of all the stuff in query k\n        for (let i = 0; i < mask_labels.length; ++i) {\n            if (mask_labels[i] === k) {\n                mask_k.push(i);\n                ++mask_k_area;\n            }\n\n            if (mask_probs[k].data[i] >= mask_threshold) {\n                ++original_area;\n            }\n        }\n        let mask_exists = mask_k_area > 0 && original_area > 0;\n\n        // Eliminate disconnected tiny segments\n        if (mask_exists) {\n            // Perform additional check\n            let area_ratio = mask_k_area / original_area;\n            mask_exists = area_ratio > overlap_mask_area_threshold;\n        }\n\n        return [mask_exists, mask_k]\n    }\n\n    /**\n     * Computes the segments.\n     * @param {Tensor[]} mask_probs The mask probabilities.\n     * @param {number[]} pred_scores The predicted scores.\n     * @param {number[]} pred_labels The predicted labels.\n     * @param {number} mask_threshold The mask threshold.\n     * @param {number} overlap_mask_area_threshold The overlap mask area threshold.\n     * @param {Set<number>} label_ids_to_fuse The label ids to fuse.\n     * @param {number[]} target_size The target size of the image.\n     * @returns {[Tensor, Array<{id: number, label_id: number, score: number}>]} The computed segments.\n     */\n    compute_segments(\n        mask_probs,\n        pred_scores,\n        pred_labels,\n        mask_threshold,\n        overlap_mask_area_threshold,\n        label_ids_to_fuse = null,\n        target_size = null,\n    ) {\n        let [height, width] = target_size ?? mask_probs[0].dims;\n\n        let segmentation = new Tensor(\n            'int32',\n            new Int32Array(height * width),\n            [height, width]\n        );\n        let segments = [];\n\n        // 1. If target_size is not null, we need to resize the masks to the target size\n        if (target_size !== null) {\n            // resize the masks to the target size\n            for (let i = 0; i < mask_probs.length; ++i) {\n                mask_probs[i] = interpolate(mask_probs[i], target_size, 'bilinear', false);\n            }\n        }\n\n        // 2. Weigh each mask by its prediction score\n        // NOTE: `mask_probs` is updated in-place\n        // \n        // Temporary storage for the best label/scores for each pixel ([height, width]):\n        let mask_labels = new Int32Array(mask_probs[0].data.length);\n        let bestScores = new Float32Array(mask_probs[0].data.length);\n\n        for (let i = 0; i < mask_probs.length; ++i) {\n            let score = pred_scores[i];\n\n            for (let j = 0; j < mask_probs[i].data.length; ++j) {\n                mask_probs[i].data[j] *= score\n                if (mask_probs[i].data[j] > bestScores[j]) {\n                    mask_labels[j] = i;\n                    bestScores[j] = mask_probs[i].data[j];\n                }\n            }\n        }\n\n        let current_segment_id = 0;\n\n        // let stuff_memory_list = {}\n        for (let k = 0; k < pred_labels.length; ++k) {\n            let pred_class = pred_labels[k];\n\n            // TODO add `should_fuse`\n            // let should_fuse = pred_class in label_ids_to_fuse\n\n            // Check if mask exists and large enough to be a segment\n            let [mask_exists, mask_k] = this.check_segment_validity(\n                mask_labels,\n                mask_probs,\n                k,\n                mask_threshold,\n                overlap_mask_area_threshold\n            )\n\n            if (!mask_exists) {\n                // Nothing to see here\n                continue;\n            }\n\n            // TODO\n            // if (pred_class in stuff_memory_list) {\n            //     current_segment_id = stuff_memory_list[pred_class]\n            // } else {\n            //     current_segment_id += 1;\n            // }\n            ++current_segment_id;\n\n\n            // Add current object segment to final segmentation map\n            for (let index of mask_k) {\n                segmentation.data[index] = current_segment_id;\n            }\n\n            segments.push({\n                id: current_segment_id,\n                label_id: pred_class,\n                // was_fused: should_fuse, TODO\n                score: pred_scores[k],\n            })\n\n            // TODO\n            // if(should_fuse){\n            //     stuff_memory_list[pred_class] = current_segment_id\n            // }\n        }\n\n        return [segmentation, segments];\n    }\n\n    /**\n     * Post-process the model output to generate the final panoptic segmentation.\n     * @param {*} outputs The model output to post process\n     * @param {number} [threshold=0.5] The probability score threshold to keep predicted instance masks.\n     * @param {number} [mask_threshold=0.5] Threshold to use when turning the predicted masks into binary values.\n     * @param {number} [overlap_mask_area_threshold=0.8] The overlap mask area threshold to merge or discard small disconnected parts within each binary instance mask.\n     * @param {Set<number>} [label_ids_to_fuse=null] The labels in this state will have all their instances be fused together.\n     * @param {number[][]} [target_sizes=null] The target sizes to resize the masks to.\n     * @returns {Array<{ segmentation: Tensor, segments_info: Array<{id: number, label_id: number, score: number}>}>}\n     */\n    post_process_panoptic_segmentation(\n        outputs,\n        threshold = 0.5,\n        mask_threshold = 0.5,\n        overlap_mask_area_threshold = 0.8,\n        label_ids_to_fuse = null,\n        target_sizes = null,\n    ) {\n        if (label_ids_to_fuse === null) {\n            console.warn(\"`label_ids_to_fuse` unset. No instance will be fused.\")\n            label_ids_to_fuse = new Set();\n        }\n\n        const class_queries_logits = outputs.logits; // [batch_size, num_queries, num_classes+1]\n        const masks_queries_logits = outputs.pred_masks; // [batch_size, num_queries, height, width]\n\n        const mask_probs = masks_queries_logits.sigmoid()  // [batch_size, num_queries, height, width]\n\n        let [batch_size, num_queries, num_labels] = class_queries_logits.dims;\n        num_labels -= 1; // Remove last class (background)\n\n        if (target_sizes !== null && target_sizes.length !== batch_size) {\n            throw Error(\"Make sure that you pass in as many target sizes as the batch dimension of the logits\")\n        }\n\n        let toReturn = [];\n        for (let i = 0; i < batch_size; ++i) {\n            let target_size = target_sizes !== null ? target_sizes[i] : null;\n\n            let class_logits = class_queries_logits[i];\n            let mask_logits = mask_probs[i];\n\n            let [mask_probs_item, pred_scores_item, pred_labels_item] = this.remove_low_and_no_objects(class_logits, mask_logits, threshold, num_labels);\n\n            if (pred_labels_item.length === 0) {\n                // No mask found\n                let [height, width] = target_size ?? mask_logits.dims.slice(-2);\n\n                let segmentation = new Tensor(\n                    'int32',\n                    new Int32Array(height * width).fill(-1),\n                    [height, width]\n                )\n                toReturn.push({\n                    segmentation: segmentation,\n                    segments_info: []\n                });\n                continue;\n            }\n\n\n            // Get segmentation map and segment information of batch item\n            let [segmentation, segments] = this.compute_segments(\n                mask_probs_item,\n                pred_scores_item,\n                pred_labels_item,\n                mask_threshold,\n                overlap_mask_area_threshold,\n                label_ids_to_fuse,\n                target_size,\n            )\n\n            toReturn.push({\n                segmentation: segmentation,\n                segments_info: segments\n            })\n        }\n\n        return toReturn;\n    }\n\n    post_process_instance_segmentation() {\n        // TODO\n        throw Error(\"Not implemented yet\");\n    }\n}\n\nexport class YolosFeatureExtractor extends ImageFeatureExtractor {\n    /** @type {post_process_object_detection} */\n    post_process_object_detection(...args) {\n        return post_process_object_detection(...args);\n    }\n}\n\n/**\n * @typedef {object} SamImageProcessorResult\n * @property {Tensor} pixel_values\n * @property {HeightWidth[]} original_sizes\n * @property {HeightWidth[]} reshaped_input_sizes\n * @property {Tensor} [input_points]\n * @property {Tensor} [input_labels]\n */\n\nexport class SamImageProcessor extends ImageFeatureExtractor {\n\n    /**\n     * \n     * @param {any} input_points \n     * @param {HeightWidth[]} original_sizes \n     * @param {HeightWidth[]} reshaped_input_sizes \n     * @returns {Tensor}\n     */\n    reshape_input_points(input_points, original_sizes, reshaped_input_sizes) {\n\n        // Make deep copy to avoid altering user's input\n        input_points = structuredClone(input_points);\n        let shape = calculateDimensions(input_points);\n\n        // TODO: add support for 2D input_points\n        if (shape.length === 3) {\n            // Correct user's input\n            shape = [1, ...shape];\n            input_points = [input_points];\n        } else if (shape.length !== 4) {\n            throw Error(\"The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.\")\n        }\n\n        // Reshape input points\n        for (let i = 0; i < input_points.length; ++i) { // batch_size\n            let originalImageSize = original_sizes[i];\n            let reshapedImageSize = reshaped_input_sizes[i];\n\n            let resizeFactors = [\n                reshapedImageSize[0] / originalImageSize[0],\n                reshapedImageSize[1] / originalImageSize[1]\n            ]\n\n            for (let j = 0; j < input_points[i].length; ++j) { // point_batch_size\n                for (let k = 0; k < input_points[i][j].length; ++k) { // nb_points_per_image\n                    for (let w = 0; w < input_points[i][j][k].length; ++w) { // 2\n                        input_points[i][j][k][w] *= resizeFactors[w];\n                    }\n                }\n            }\n        }\n\n        return new Tensor(\n            'float32',\n            Float32Array.from(input_points.flat(Infinity)),\n            shape\n        )\n\n    }\n\n    /**\n     * \n     * @param {any} input_labels \n     * @param {Tensor} input_points \n     * @returns {Tensor}\n     */\n    add_input_labels(input_labels, input_points) {\n        let shape = calculateDimensions(input_labels);\n        if (shape.length === 2) {\n            // Correct user's input\n            shape = [1, ...shape];\n            input_labels = [input_labels];\n        } else if (shape.length !== 3) {\n            throw Error(\"The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.\")\n        }\n\n        if (shape.some((x, i) => x !== input_points.dims[i])) {\n            throw Error(`The first ${shape.length} dimensions of 'input_points' and 'input_labels' must be the same.`)\n        }\n        return new Tensor(\n            'int64',\n            input_labels.flat(Infinity).map(BigInt),\n            shape,\n        )\n    }\n    /**\n     * @param {any[]} images The URL(s) of the image(s) to extract features from.\n     * @param {any} [input_points] A 3D or 4D array, representing the input points provided by the user.\n     * - 3D: `[point_batch_size, nb_points_per_image, 2]`. In this case, `batch_size` is assumed to be 1.\n     * - 4D: `[batch_size, point_batch_size, nb_points_per_image, 2]`.\n     * @param {any} [input_labels] A 2D or 3D array, representing the input labels for the points, used by the prompt encoder to encode the prompt.\n     * - 2D: `[point_batch_size, nb_points_per_image]`. In this case, `batch_size` is assumed to be 1.\n     * - 3D: `[batch_size, point_batch_size, nb_points_per_image]`.\n     * @returns {Promise<SamImageProcessorResult>}\n     */\n    async _call(images, input_points = null, input_labels = null) {\n        // TODO allow user to use preprocessed images\n        /** @type {SamImageProcessorResult} */\n        const processed = await super._call(images);\n\n        if (input_points) {\n            processed.input_points = this.reshape_input_points(\n                input_points, processed.original_sizes, processed.reshaped_input_sizes\n            );\n        }\n\n        if (input_labels) {\n            if (!processed.input_points) {\n                throw Error(\"`input_points` must be provided if `input_labels` are provided.\")\n            }\n            processed.input_labels = this.add_input_labels(input_labels, processed.input_points);\n        }\n\n        return processed;\n    }\n\n    /**\n     * Remove padding and upscale masks to the original image size.\n     * @param {Tensor} masks Batched masks from the mask_decoder in (batch_size, num_channels, height, width) format.\n     * @param {number[][]} original_sizes The original sizes of each image before it was resized to the model's expected input shape, in (height, width) format.\n     * @param {number[][]} reshaped_input_sizes The size of each image as it is fed to the model, in (height, width) format. Used to remove padding.\n     * @param {Object} options Optional parameters for post-processing.\n     * @param {number} [options.mask_threshold] The threshold to use for binarizing the masks.\n     * @param {boolean} [options.binarize] Whether to binarize the masks.\n     * @param {Object} [options.pad_size] The target size the images were padded to before being passed to the model. If `null`, the target size is assumed to be the processor's `pad_size`.\n     * @param {number} [options.pad_size.height] The height the images were padded to.\n     * @param {number} [options.pad_size.width] The width the images were padded to.\n     * @returns {Tensor[]} Batched masks in batch_size, num_channels, height, width) format, where (height, width) is given by original_size.\n     */\n    post_process_masks(masks, original_sizes, reshaped_input_sizes, {\n        mask_threshold = 0.0,\n        binarize = true,\n        pad_size = null,\n    } = {}) {\n        // masks: [1, 1, 3, 256, 256]\n\n        const output_masks = [];\n\n        pad_size = pad_size ?? this.pad_size;\n\n        const target_image_size = [pad_size.height, pad_size.width];\n\n        for (let i = 0; i < original_sizes.length; ++i) {\n            const original_size = original_sizes[i];\n            const reshaped_input_size = reshaped_input_sizes[i];\n\n            const mask = masks[i]; // [b, c, h, w]\n\n            // TODO: improve\n            const interpolated_masks = [];\n            for (let j = 0; j < mask.dims[0]; ++j) {\n                const m = mask[j]; // 3d tensor\n\n                // Upscale mask to padded size\n                let interpolated_mask = interpolate(m, target_image_size, 'bilinear', false);\n\n                // Crop mask\n                interpolated_mask = interpolated_mask.slice(null, [0, reshaped_input_size[0]], [0, reshaped_input_size[1]]);\n\n                // Downscale mask\n                interpolated_mask = interpolate(interpolated_mask, original_size, 'bilinear', false);\n\n                if (binarize) {\n                    const binarizedMaskData = new Uint8Array(interpolated_mask.data.length);\n                    for (let i = 0; i < interpolated_mask.data.length; ++i) {\n                        if (interpolated_mask.data[i] > mask_threshold) {\n                            binarizedMaskData[i] = 1;\n                        }\n                    }\n                    interpolated_mask = new Tensor(\n                        'bool',\n                        binarizedMaskData,\n                        interpolated_mask.dims\n                    )\n                }\n\n                interpolated_masks.push(interpolated_mask);\n            }\n\n            output_masks.push(stack(interpolated_masks));\n        }\n\n        return output_masks;\n    }\n}\n\nexport class Swin2SRImageProcessor extends ImageFeatureExtractor {\n    pad_image(pixelData, imgDims, padSize, options = {}) {\n        // NOTE: In this case, `padSize` represents the size of the sliding window for the local attention.\n        // In other words, the image is padded so that its width and height are multiples of `padSize`.\n        const [imageHeight, imageWidth, imageChannels] = imgDims;\n\n        return super.pad_image(pixelData, imgDims, {\n            // NOTE: For Swin2SR models, the original python implementation adds padding even when the image's width/height is already\n            // a multiple of `pad_size`. However, this is most likely a bug (PR: https://github.com/mv-lab/swin2sr/pull/19).\n            // For this reason, we only add padding when the image's width/height is not a multiple of `pad_size`.\n            width: imageWidth + (padSize - imageWidth % padSize) % padSize,\n            height: imageHeight + (padSize - imageHeight % padSize) % padSize,\n        }, {\n            mode: 'symmetric',\n            center: false,\n            constant_values: -1,\n            ...options,\n        })\n    }\n}\n\nexport class VitMatteImageProcessor extends ImageFeatureExtractor {\n    /**\n     * Calls the feature extraction process on an array of images, preprocesses\n     * each image, and concatenates the resulting features into a single Tensor.\n     * @param {RawImage[]} images The image(s) to extract features from.\n     * @param {RawImage[]} trimaps The trimaps(s) to extract features from.\n     * @returns {Promise<ImageFeatureExtractorResult>} An object containing the concatenated pixel values of the preprocessed images.\n     */\n    async _call(images, trimaps) {\n        if (!Array.isArray(images)) {\n            images = [images];\n        }\n        if (!Array.isArray(trimaps)) {\n            trimaps = [trimaps];\n        }\n\n        const imageData = await Promise.all(images.map(x => this.preprocess(x)));\n        const trimapData = await Promise.all(trimaps.map(x => this.preprocess(x, {\n            do_normalize: false,\n            do_convert_rgb: false,\n            do_convert_grayscale: true,\n        })));\n\n\n        // Stack pixel values\n        const pixel_values = stack(imageData.map(\n            // Concatenate images and trimaps\n            (x, i) => cat([x.pixel_values, trimapData[i].pixel_values], 0)\n        ), 0);\n\n        return {\n            pixel_values: pixel_values,\n\n            // Original sizes of images\n            original_sizes: imageData.map(x => x.original_size),\n\n            // Reshaped sizes of images, before padding or cropping\n            reshaped_input_sizes: imageData.map(x => x.reshaped_input_size),\n        }\n    }\n}\n\nexport class WhisperFeatureExtractor extends FeatureExtractor {\n\n    constructor(config) {\n        super(config);\n\n        // Prefer given `mel_filters` from preprocessor_config.json, or calculate them if they don't exist.\n        this.config.mel_filters ??= mel_filter_bank(\n            Math.floor(1 + this.config.n_fft / 2), // num_frequency_bins\n            this.config.feature_size, // num_mel_filters\n            0.0, // min_frequency\n            8000.0, // max_frequency\n            this.config.sampling_rate, // sampling_rate\n            \"slaney\", // norm\n            \"slaney\", // mel_scale\n        );\n\n        this.window = window_function(this.config.n_fft, 'hann');\n    }\n\n    /**\n     * Computes the log-Mel spectrogram of the provided audio waveform.\n     * @param {Float32Array|Float64Array} waveform The audio waveform to process.\n     * @returns {{data: Float32Array, dims: number[]}} An object containing the log-Mel spectrogram data as a Float32Array and its dimensions as an array of numbers.\n     */\n    _extract_fbank_features(waveform) {\n        const { data, dims } = spectrogram(\n            waveform,\n            this.window, // window\n            this.config.n_fft, // frame_length\n            this.config.hop_length, // hop_length\n            {\n                power: 2.0,\n                mel_filters: this.config.mel_filters,\n                log_mel: 'log10',\n\n                // Custom\n                max_num_frames: this.config.nb_max_frames, // 3000\n            }\n        )\n\n        const maxValue = max(data)[0];\n\n        for (let i = 0; i < data.length; ++i) {\n            data[i] = (Math.max(data[i], maxValue - 8.0) + 4.0) / 4.0;\n        }\n\n        return { data, dims };\n    }\n\n    /**\n     * Asynchronously extracts features from a given audio using the provided configuration.\n     * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array.\n     * @returns {Promise<{ input_features: Tensor }>} A Promise resolving to an object containing the extracted input features as a Tensor.\n     */\n    async _call(audio) {\n        validate_audio_inputs(audio, 'WhisperFeatureExtractor');\n\n        let waveform;\n        if (audio.length > this.config.n_samples) {\n            console.warn(\n                \"Attempting to extract features for audio longer than 30 seconds. \" +\n                \"If using a pipeline to extract transcript from a long audio clip, \" +\n                \"remember to specify `chunk_length_s` and/or `stride_length_s`.\"\n            );\n            waveform = audio.slice(0, this.config.n_samples);\n        } else {\n            // pad with zeros\n            waveform = new Float32Array(this.config.n_samples);\n            waveform.set(audio);\n        }\n\n        const { data, dims } = this._extract_fbank_features(waveform);\n\n        return {\n            input_features: new Tensor('float32',\n                data,\n                [1, ...dims]\n            )\n        };\n    }\n}\n\nexport class Wav2Vec2FeatureExtractor extends FeatureExtractor {\n\n    /**\n     * @param {Float32Array} input_values \n     * @returns {Float32Array} \n     */\n    _zero_mean_unit_var_norm(input_values) {\n        // TODO support batch?\n        const sum = input_values.reduce((a, b) => a + b, 0);\n        const mean = sum / input_values.length;\n        const variance = input_values.reduce((a, b) => a + (b - mean) ** 2, 0) / input_values.length;\n        return input_values.map(x => (x - mean) / Math.sqrt(variance + 1e-7));\n    }\n\n    /**\n     * Asynchronously extracts features from a given audio using the provided configuration.\n     * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array.\n     * @returns {Promise<{ input_values: Tensor; attention_mask: Tensor }>} A Promise resolving to an object containing the extracted input features and attention mask as Tensors.\n     */\n    async _call(audio) {\n        validate_audio_inputs(audio, 'Wav2Vec2FeatureExtractor');\n\n        if (audio instanceof Float64Array) {\n            audio = new Float32Array(audio);\n        }\n\n        let input_values = audio;\n\n        // zero-mean and unit-variance normalization\n        if (this.config.do_normalize) {\n            input_values = this._zero_mean_unit_var_norm(input_values);\n        }\n\n        // TODO: allow user to pass in attention mask\n        const shape = [1, input_values.length];\n        return {\n            input_values: new Tensor('float32', input_values, shape),\n            attention_mask: new Tensor('int64', new BigInt64Array(input_values.length).fill(1n), shape)\n        };\n    }\n}\n\nexport class SeamlessM4TFeatureExtractor extends FeatureExtractor {\n\n    constructor(config) {\n        super(config);\n\n        const sampling_rate = this.config.sampling_rate;\n        const mel_filters = mel_filter_bank(\n            256, // num_frequency_bins\n            this.config.num_mel_bins, // num_mel_filters\n            20, // min_frequency\n            Math.floor(sampling_rate / 2), // max_frequency\n            sampling_rate, // sampling_rate\n            null, // norm\n            \"kaldi\", // mel_scale\n            true, // triangularize_in_mel_space\n        );\n\n        // Do padding:\n        for (let i = 0; i < mel_filters.length; ++i) {\n            mel_filters[i].push(0);\n        }\n        this.mel_filters = mel_filters;\n\n        this.window = window_function(400, 'povey', {\n            periodic: false,\n        })\n    }\n\n    /**\n     * Computes the log-Mel spectrogram of the provided audio waveform.\n     * @param {Float32Array|Float64Array} waveform The audio waveform to process.\n     * @param {number} max_length The maximum number of frames to return.\n     * @returns {{data: Float32Array, dims: number[]}} An object containing the log-Mel spectrogram data as a Float32Array and its dimensions as an array of numbers.\n     */\n    _extract_fbank_features(waveform, max_length) {\n        // NOTE: We don't pad/truncate since that is passed in as `max_num_frames`\n\n        // Kaldi compliance: 16-bit signed integers\n        // 32768 == 2 ** 15\n        waveform = waveform.map((/** @type {number} */ x) => x * 32768)\n\n        return spectrogram(\n            waveform,\n            this.window, // window\n            400, // frame_length\n            160, // hop_length\n            {\n                fft_length: 512,\n                power: 2.0,\n                center: false,\n                preemphasis: 0.97,\n                mel_filters: this.mel_filters,\n                log_mel: 'log',\n                mel_floor: 1.192092955078125e-07,\n                remove_dc_offset: true,\n\n                // Custom\n                max_num_frames: max_length,\n                transpose: true,\n            }\n        )\n    }\n\n    /**\n     * Asynchronously extracts features from a given audio using the provided configuration.\n     * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array.\n     * @param {Object} options Optional parameters for feature extraction.\n     * @param {boolean} [options.padding=true] Whether to pad the sequence to a multiple of `pad_to_multiple_of`.\n     * @param {number} [options.pad_to_multiple_of=2] The number to pad the sequence to a multiple of.\n     * @param {boolean} [options.do_normalize_per_mel_bins=true] Whether or not to zero-mean unit-variance normalize the input per mel-channel.\n     * @param {boolean} [options.return_attention_mask=true] Whether to return the attention mask.\n     * @returns {Promise<{ input_features: Tensor, attention_mask?: Tensor }>} A Promise resolving to an object containing the extracted input features and attention masks as Tensors.\n     */\n    async _call(audio, {\n        padding = true,\n        pad_to_multiple_of = 2,\n        do_normalize_per_mel_bins = true,\n        return_attention_mask = true,\n    } = {}) {\n        validate_audio_inputs(audio, 'SeamlessM4TFeatureExtractor');\n\n        let features = this._extract_fbank_features(audio, this.config.max_length);\n\n        if (do_normalize_per_mel_bins) {\n            const [num_features, feature_size] = features.dims;\n            for (let i = 0; i < feature_size; ++i) {\n                let sum = 0;\n                for (let j = 0; j < num_features; ++j) {\n                    sum += features.data[j * feature_size + i];\n                }\n\n                const mean = sum / num_features;\n\n                let variance = 0;\n                for (let j = 0; j < num_features; ++j) {\n                    variance += (features.data[j * feature_size + i] - mean) ** 2;\n                }\n                variance /= num_features - 1; // NOTE: We use ddof=1\n\n                const std = Math.sqrt(variance + 1e-7);\n                for (let j = 0; j < num_features; ++j) {\n                    const index = j * feature_size + i;\n                    features.data[index] = (features.data[index] - mean) / std;\n                }\n            }\n        }\n\n        let padded_attention_mask;\n        if (padding) {\n            const [num_frames, num_channels] = features.dims;\n\n            const pad_size = num_frames % pad_to_multiple_of;\n            if (pad_size > 0) {\n                const padded_data = new Float32Array(num_channels * (num_frames + pad_size));\n                padded_data.set(features.data)\n                padded_data.fill(this.config.padding_value, features.data.length)\n\n                const numPaddedFrames = num_frames + pad_size;\n                features = {\n                    data: padded_data,\n                    dims: [numPaddedFrames, num_channels],\n                }\n\n                if (return_attention_mask) {\n                    padded_attention_mask = new Tensor(\n                        'int64',\n                        new BigInt64Array(numPaddedFrames),\n                        [1, numPaddedFrames],\n                    )\n                    padded_attention_mask.data.fill(1n, 0, num_frames);\n                }\n            }\n        }\n\n        const [num_frames, num_channels] = features.dims;\n\n        const stride = this.config.stride;\n        const remainder = num_frames % stride;\n        if (remainder !== 0) {\n            throw new Error(`The number of frames (${num_frames}) must be a multiple of the stride (${stride}).`)\n        }\n\n        const input_features = new Tensor('float32',\n            features.data,\n            features.dims,\n        ).view(\n            1,\n            Math.floor(num_frames / stride),\n            num_channels * stride,\n        );\n\n        const result = { input_features }\n\n        if (return_attention_mask) {\n            const reshapedNumFrames = input_features.dims[1];\n\n            const attention_mask = new Tensor(\n                'int64',\n                new BigInt64Array(reshapedNumFrames),\n                [1, reshapedNumFrames],\n            );\n            if (padded_attention_mask) {\n                for (let i = 1, j = 0; i < num_frames; i += stride, ++j) {\n                    attention_mask.data[j] = padded_attention_mask.data[i];\n                }\n            } else {\n                attention_mask.data.fill(1n);\n            }\n\n            result.attention_mask = attention_mask;\n        }\n\n        return result;\n    }\n}\n\nexport class ASTFeatureExtractor extends FeatureExtractor {\n\n\n    constructor(config) {\n        super(config);\n\n        const sampling_rate = this.config.sampling_rate;\n        const mel_filters = mel_filter_bank(\n            256, // num_frequency_bins\n            this.config.num_mel_bins, // num_mel_filters\n            20, // min_frequency\n            Math.floor(sampling_rate / 2), // max_frequency\n            sampling_rate, // sampling_rate\n            null, // norm\n            \"kaldi\", // mel_scale\n            true, // triangularize_in_mel_space\n        );\n\n        // Do padding:\n        for (let i = 0; i < mel_filters.length; ++i) {\n            mel_filters[i].push(0);\n        }\n        this.mel_filters = mel_filters;\n\n        this.window = window_function(400, 'hann', {\n            periodic: false,\n        })\n\n        this.mean = this.config.mean;\n        this.std = this.config.std;\n    }\n\n    /**\n     * Computes the log-Mel spectrogram of the provided audio waveform.\n     * @param {Float32Array|Float64Array} waveform The audio waveform to process.\n     * @param {number} max_length The maximum number of frames to return.\n     * @returns {{data: Float32Array, dims: number[]}} An object containing the log-Mel spectrogram data as a Float32Array and its dimensions as an array of numbers.\n     */\n    _extract_fbank_features(waveform, max_length) {\n        // NOTE: We don't pad/truncate since that is passed in as `max_num_frames`\n        return spectrogram(\n            waveform,\n            this.window, // window\n            400, // frame_length\n            160, // hop_length\n            {\n                fft_length: 512,\n                power: 2.0,\n                center: false,\n                preemphasis: 0.97,\n                mel_filters: this.mel_filters,\n                log_mel: 'log',\n                mel_floor: 1.192092955078125e-07,\n                remove_dc_offset: true,\n\n                // Custom\n                max_num_frames: max_length,\n                transpose: true,\n            }\n        )\n    }\n\n\n    /**\n     * Asynchronously extracts features from a given audio using the provided configuration.\n     * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array.\n     * @returns {Promise<{ input_values: Tensor }>} A Promise resolving to an object containing the extracted input features as a Tensor.\n     */\n    async _call(audio) {\n        validate_audio_inputs(audio, 'ASTFeatureExtractor');\n\n        const features = this._extract_fbank_features(audio, this.config.max_length);\n        if (this.config.do_normalize) {\n            // Normalize the input audio spectrogram to have mean=0, std=0.5\n            const denom = this.std * 2;\n            for (let i = 0; i < features.data.length; ++i) {\n                features.data[i] = (features.data[i] - this.mean) / denom;\n            }\n        }\n\n        return {\n            input_values: new Tensor('float32',\n                features.data,\n                [1, ...features.dims]\n            )\n        };\n    }\n}\n\nexport class ClapFeatureExtractor extends FeatureExtractor {\n\n    constructor(config) {\n        super(config);\n\n        this.mel_filters = mel_filter_bank(\n            this.config.nb_frequency_bins, // num_frequency_bins\n            this.config.feature_size, // num_mel_filters\n            this.config.frequency_min, // min_frequency\n            this.config.frequency_max, // max_frequency\n            this.config.sampling_rate, // sampling_rate\n            null, // norm\n            \"htk\", // mel_scale\n        );\n\n        this.mel_filters_slaney = mel_filter_bank(\n            this.config.nb_frequency_bins, // num_frequency_bins\n            this.config.feature_size, // num_mel_filters\n            this.config.frequency_min, // min_frequency\n            this.config.frequency_max, // max_frequency\n            this.config.sampling_rate, // sampling_rate\n            \"slaney\", // norm\n            \"slaney\", // mel_scale\n        );\n\n        this.window = window_function(this.config.fft_window_size, 'hann')\n\n    }\n\n\n    /**\n     * Extracts the mel spectrogram and prepares it for the mode based on the `truncation` and `padding` arguments.\n     * \n     * Four different path are possible:\n     *   - `truncation=\"fusion\"` and the length of the waveform is greater than the max length: the mel spectrogram\n     *     will be computed on the entire audio. 3 random crops and a dowsampled version of the full mel spectrogram\n     *     are then stacked together. They will later be used for `feature_fusion`.\n     *   - `truncation=\"rand_trunc\"` and the length of the waveform is smaller than the max length: the audio is\n     *     padded based on `padding`.\n     *   - `truncation=\"fusion\"` and the length of the waveform is smaller than the max length: the audio is padded\n     *     based on `padding`, and is repeated `4` times.\n     *   - `truncation=\"rand_trunc\"` and the length of the waveform is greater than the max length: the mel\n     *     spectrogram will be computed on a random crop of the waveform.\n     * \n     * @param {Float32Array|Float64Array} waveform The input waveform.\n     * @param {number} max_length The maximum length of the waveform.\n     * @param {string} truncation The truncation strategy to use.\n     * @param {string} padding The padding strategy to use.\n     * @returns {{ data: Float32Array; dims: number[]; longer: boolean; }} An object containing the mel spectrogram data as a Float32Array, its dimensions as an array of numbers, and a boolean indicating whether the waveform was longer than the max length.\n     */\n    _get_input_mel(waveform, max_length, truncation, padding) {\n\n        /** @type {{ data: Float32Array; dims: number[]}} */\n        let input_mel;\n        let longer = false;\n        const diff = waveform.length - max_length;\n        if (diff > 0) {\n            if (truncation === 'rand_trunc') {\n                longer = true;\n                const idx = Math.floor(Math.random() * (diff + 1));\n                waveform = waveform.subarray(idx, idx + max_length);\n\n                input_mel = this._extract_fbank_features(waveform, this.mel_filters_slaney, this.config.nb_max_samples);\n                input_mel.dims = [1, ...input_mel.dims]; // \"unsqueeze\"\n            } else {\n                // TODO implement fusion strategy\n                throw new Error(`Truncation strategy \"${truncation}\" not implemented`)\n            }\n        } else {\n            if (diff < 0) {\n                let padded = new Float64Array(max_length); // already padded with zeros\n                padded.set(waveform);\n\n                if (padding === 'repeat') {\n                    for (let i = waveform.length; i < max_length; i += waveform.length) {\n                        padded.set(waveform.subarray(0, Math.min(waveform.length, max_length - i)), i);\n                    }\n                } else if (padding === 'repeatpad') {\n                    for (let i = waveform.length; i < -diff; i += waveform.length) {\n                        padded.set(waveform, i);\n                    }\n                }\n                waveform = padded;\n            }\n\n            if (truncation === 'fusion') {\n                throw new Error(`Truncation strategy \"${truncation}\" not implemented`)\n            }\n\n            input_mel = this._extract_fbank_features(waveform, this.mel_filters_slaney, this.config.nb_max_samples);\n            input_mel.dims = [1, ...input_mel.dims]; // \"unsqueeze\"\n        }\n\n        return {\n            ...input_mel,\n            longer,\n        }\n    }\n\n    /**\n     * Compute the log-mel spectrogram of the provided `waveform` using the Hann window.\n     * In CLAP, two different filter banks are used depending on the truncation pattern:\n     *  - `self.mel_filters`: they correspond to the default parameters of `torchaudio` which can be obtained from\n     *    calling `torchaudio.transforms.MelSpectrogram().mel_scale.fb`. These filters are used when `truncation`\n     *    is set to `\"fusion\"`.\n     *  - `self.mel_filteres_slaney` : they correspond to the default parameters of `librosa` which used\n     *    `librosa.filters.mel` when computing the mel spectrogram. These filters were only used in the original\n     *    implementation when the truncation mode is not `\"fusion\"`.\n     * \n     * @param {Float32Array|Float64Array} waveform The audio waveform to process.\n     * @param {number[][]} mel_filters The mel filters to use.\n     * @param {number} [max_length=null] The maximum number of frames to return.\n     * @returns {{data: Float32Array, dims: number[]}} An object containing the log-Mel spectrogram data as a Float32Array and its dimensions as an array of numbers.\n     */\n    _extract_fbank_features(waveform, mel_filters, max_length = null) {\n        // NOTE: We don't pad/truncate since that is passed in as `max_num_frames`\n        return spectrogram(\n            waveform,\n            this.window, // window\n            this.config.fft_window_size, // frame_length\n            this.config.hop_length, // hop_length\n            {\n                power: 2.0,\n                mel_filters,\n                log_mel: 'dB',\n\n                // Custom\n                max_num_frames: max_length,\n                do_pad: false,\n                transpose: true,\n            }\n        )\n    }\n\n\n    /**\n     * Asynchronously extracts features from a given audio using the provided configuration.\n     * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array.\n     * @returns {Promise<{ input_features: Tensor }>} A Promise resolving to an object containing the extracted input features as a Tensor.\n     */\n    async _call(audio, {\n        max_length = null,\n    } = {}) {\n        validate_audio_inputs(audio, 'ClapFeatureExtractor');\n\n        // convert to mel spectrogram, truncate and pad if needed.\n        const padded_inputs = this._get_input_mel(\n            audio,\n            max_length ?? this.config.nb_max_samples,\n            this.config.truncation,\n            this.config.padding,\n        );\n\n\n        return {\n            input_features: new Tensor('float32',\n                padded_inputs.data,\n                [1, ...padded_inputs.dims]\n            )\n        };\n    }\n}\n\n\n\nexport class SpeechT5FeatureExtractor extends FeatureExtractor { }\n\n/**\n * Represents a Processor that extracts features from an input.\n * @extends Callable\n */\nexport class Processor extends Callable {\n    /**\n     * Creates a new Processor with the given feature extractor.\n     * @param {FeatureExtractor} feature_extractor The function used to extract features from the input.\n     */\n    constructor(feature_extractor) {\n        super();\n        this.feature_extractor = feature_extractor;\n        // TODO use tokenizer here?\n    }\n\n    /**\n     * Calls the feature_extractor function with the given input.\n     * @param {any} input The input to extract features from.\n     * @param {...any} args Additional arguments.\n     * @returns {Promise<any>} A Promise that resolves with the extracted features.\n     */\n    async _call(input, ...args) {\n        return await this.feature_extractor(input, ...args);\n    }\n}\n\nexport class SamProcessor extends Processor {\n    /**\n     * @borrows SamImageProcessor#_call as _call\n     */\n    async _call(...args) {\n        return await this.feature_extractor(...args);\n    }\n\n    /**\n     * @borrows SamImageProcessor#post_process_masks as post_process_masks\n     */\n    post_process_masks(...args) {\n        // @ts-ignore\n        return this.feature_extractor.post_process_masks(...args);\n    }\n    /**\n     * @borrows SamImageProcessor#reshape_input_points as reshape_input_points\n     */\n    reshape_input_points(...args) {\n        // @ts-ignore\n        return this.feature_extractor.reshape_input_points(...args);\n    }\n}\n\n/**\n * Represents a WhisperProcessor that extracts features from an audio input.\n * @extends Processor\n */\nexport class WhisperProcessor extends Processor {\n    /**\n     * Calls the feature_extractor function with the given audio input.\n     * @param {any} audio The audio input to extract features from.\n     * @returns {Promise<any>} A Promise that resolves with the extracted features.\n     */\n    async _call(audio) {\n        return await this.feature_extractor(audio)\n    }\n}\n\n\nexport class Wav2Vec2ProcessorWithLM extends Processor {\n    /**\n     * Calls the feature_extractor function with the given audio input.\n     * @param {any} audio The audio input to extract features from.\n     * @returns {Promise<any>} A Promise that resolves with the extracted features.\n     */\n    async _call(audio) {\n        return await this.feature_extractor(audio)\n    }\n}\n\nexport class SpeechT5Processor extends Processor {\n    /**\n     * Calls the feature_extractor function with the given input.\n     * @param {any} input The input to extract features from.\n     * @returns {Promise<any>} A Promise that resolves with the extracted features.\n     */\n    async _call(input) {\n        return await this.feature_extractor(input)\n    }\n}\n\nexport class OwlViTProcessor extends Processor { }\n\n\n//////////////////////////////////////////////////\n/**\n * Helper class which is used to instantiate pretrained processors with the `from_pretrained` function.\n * The chosen processor class is determined by the type specified in the processor config.\n * \n * **Example:** Load a processor using `from_pretrained`.\n * ```javascript\n * let processor = await AutoProcessor.from_pretrained('openai/whisper-tiny.en');\n * ```\n * \n * **Example:** Run an image through a processor.\n * ```javascript\n * let processor = await AutoProcessor.from_pretrained('Xenova/clip-vit-base-patch16');\n * let image = await RawImage.read('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/football-match.jpg');\n * let image_inputs = await processor(image);\n * // {\n * //   \"pixel_values\": {\n * //     \"dims\": [ 1, 3, 224, 224 ],\n * //     \"type\": \"float32\",\n * //     \"data\": Float32Array [ -1.558687686920166, -1.558687686920166, -1.5440893173217773, ... ],\n * //     \"size\": 150528\n * //   },\n * //   \"original_sizes\": [\n * //     [ 533, 800 ]\n * //   ],\n * //   \"reshaped_input_sizes\": [\n * //     [ 224, 224 ]\n * //   ]\n * // }\n * ```\n */\nexport class AutoProcessor {\n    static FEATURE_EXTRACTOR_CLASS_MAPPING = {\n        ImageFeatureExtractor,\n        WhisperFeatureExtractor,\n        ViTFeatureExtractor,\n        MobileViTFeatureExtractor,\n        MobileViTImageProcessor,\n        OwlViTFeatureExtractor,\n        Owlv2ImageProcessor,\n        CLIPFeatureExtractor,\n        ChineseCLIPFeatureExtractor,\n        SiglipImageProcessor,\n        ConvNextFeatureExtractor,\n        ConvNextImageProcessor,\n        SegformerFeatureExtractor,\n        BitImageProcessor,\n        DPTImageProcessor,\n        DPTFeatureExtractor,\n        GLPNFeatureExtractor,\n        BeitFeatureExtractor,\n        DeiTFeatureExtractor,\n        DetrFeatureExtractor,\n        YolosFeatureExtractor,\n        DonutFeatureExtractor,\n        NougatImageProcessor,\n        EfficientNetImageProcessor,\n\n        ViTImageProcessor,\n        VitMatteImageProcessor,\n        SamImageProcessor,\n        Swin2SRImageProcessor,\n        Wav2Vec2FeatureExtractor,\n        SeamlessM4TFeatureExtractor,\n        SpeechT5FeatureExtractor,\n        ASTFeatureExtractor,\n        ClapFeatureExtractor,\n    }\n\n    static PROCESSOR_CLASS_MAPPING = {\n        WhisperProcessor,\n        Wav2Vec2ProcessorWithLM,\n        SamProcessor,\n        SpeechT5Processor,\n        OwlViTProcessor,\n    }\n\n    /**\n     * Instantiate one of the processor classes of the library from a pretrained model.\n     * \n     * The processor class to instantiate is selected based on the `feature_extractor_type` property of the config object\n     * (either passed as an argument or loaded from `pretrained_model_name_or_path` if possible)\n     * \n     * @param {string} pretrained_model_name_or_path The name or path of the pretrained model. Can be either:\n     * - A string, the *model id* of a pretrained processor hosted inside a model repo on huggingface.co.\n     *   Valid model ids can be located at the root-level, like `bert-base-uncased`, or namespaced under a\n     *   user or organization name, like `dbmdz/bert-base-german-cased`.\n     * - A path to a *directory* containing processor files, e.g., `./my_model_directory/`.\n     * @param {import('./utils/hub.js').PretrainedOptions} options Additional options for loading the processor.\n     * \n     * @returns {Promise<Processor>} A new instance of the Processor class.\n     */\n    static async from_pretrained(pretrained_model_name_or_path, {\n        progress_callback = null,\n        config = null,\n        cache_dir = null,\n        local_files_only = false,\n        revision = 'main',\n    } = {}) {\n\n        let preprocessorConfig = config ?? await getModelJSON(pretrained_model_name_or_path, 'preprocessor_config.json', true, {\n            progress_callback,\n            config,\n            cache_dir,\n            local_files_only,\n            revision,\n        })\n\n        // Determine feature extractor class\n        // TODO: Ensure backwards compatibility with old configs\n        let key = preprocessorConfig.feature_extractor_type ?? preprocessorConfig.image_processor_type;\n        let feature_extractor_class = this.FEATURE_EXTRACTOR_CLASS_MAPPING[key];\n\n        if (!feature_extractor_class) {\n            if (preprocessorConfig.size !== undefined) {\n                // Assume ImageFeatureExtractor\n                console.warn(`Feature extractor type \"${key}\" not found, assuming ImageFeatureExtractor due to size parameter in config.`);\n                feature_extractor_class = ImageFeatureExtractor;\n            } else {\n                throw new Error(`Unknown Feature Extractor type: ${key}`);\n            }\n        }\n\n        // If no associated processor class, use default\n        let processor_class = this.PROCESSOR_CLASS_MAPPING[preprocessorConfig.processor_class] ?? Processor;\n\n        // Instantiate processor and feature extractor\n        let feature_extractor = new feature_extractor_class(preprocessorConfig);\n        return new processor_class(feature_extractor);\n    }\n}\n//////////////////////////////////////////////////\n\n","/**\n * @file Pipelines provide a high-level, easy to use, API for running machine learning models.\n * \n * **Example:** Instantiate pipeline using the `pipeline` function.\n * ```javascript\n * import { pipeline } from '@xenova/transformers';\n * \n * const classifier = await pipeline('sentiment-analysis');\n * const output = await classifier('I love transformers!');\n * // [{'label': 'POSITIVE', 'score': 0.999817686}]\n * ```\n * \n * @module pipelines\n */\n\nimport {\n    AutoTokenizer,\n    PreTrainedTokenizer,\n} from './tokenizers.js';\nimport {\n    AutoModel,\n    AutoModelForSequenceClassification,\n    AutoModelForAudioClassification,\n    AutoModelForTokenClassification,\n    AutoModelForQuestionAnswering,\n    AutoModelForMaskedLM,\n    AutoModelForSeq2SeqLM,\n    AutoModelForSpeechSeq2Seq,\n    AutoModelForTextToWaveform,\n    AutoModelForTextToSpectrogram,\n    AutoModelForCTC,\n    AutoModelForCausalLM,\n    AutoModelForVision2Seq,\n    AutoModelForImageClassification,\n    AutoModelForImageSegmentation,\n    AutoModelForSemanticSegmentation,\n    AutoModelForObjectDetection,\n    AutoModelForZeroShotObjectDetection,\n    AutoModelForDocumentQuestionAnswering,\n    AutoModelForImageToImage,\n    AutoModelForDepthEstimation,\n    AutoModelForImageFeatureExtraction,\n    PreTrainedModel,\n} from './models.js';\nimport {\n    AutoProcessor,\n    Processor\n} from './processors.js';\n\n\nimport {\n    Callable,\n    dispatchCallback,\n    pop,\n    product,\n} from './utils/core.js';\nimport {\n    softmax,\n    max,\n    getTopItems,\n    round,\n} from './utils/maths.js';\nimport {\n    read_audio\n} from './utils/audio.js';\nimport {\n    Tensor,\n    mean_pooling,\n    interpolate,\n    quantize_embeddings,\n} from './utils/tensor.js';\nimport { RawImage } from './utils/image.js';\n\n\n/**\n * @typedef {string | RawImage | URL} ImageInput\n * @typedef {ImageInput|ImageInput[]} ImagePipelineInputs\n */\n\n/**\n * Prepare images for further tasks.\n * @param {ImagePipelineInputs} images images to prepare.\n * @returns {Promise<RawImage[]>} returns processed images.\n * @private\n */\nasync function prepareImages(images) {\n    if (!Array.isArray(images)) {\n        images = [images];\n    }\n\n    // Possibly convert any non-images to images\n    return await Promise.all(images.map(x => RawImage.read(x)));\n}\n\n/**\n * @typedef {string | URL | Float32Array | Float64Array} AudioInput\n * @typedef {AudioInput|AudioInput[]} AudioPipelineInputs\n */\n\n/**\n * Prepare audios for further tasks.\n * @param {AudioPipelineInputs} audios audios to prepare.\n * @param {number} sampling_rate sampling rate of the audios.\n * @returns {Promise<Float32Array[]>} The preprocessed audio data.\n * @private\n */\nasync function prepareAudios(audios, sampling_rate) {\n    if (!Array.isArray(audios)) {\n        audios = [audios];\n    }\n\n    return await Promise.all(audios.map(x => {\n        if (typeof x === 'string' || x instanceof URL) {\n            return read_audio(x, sampling_rate);\n        } else if (x instanceof Float64Array) {\n            return new Float32Array(x);\n        }\n        return x;\n    }));\n}\n\n/**\n * @typedef {Object} BoundingBox\n * @property {number} xmin The minimum x coordinate of the bounding box.\n * @property {number} ymin The minimum y coordinate of the bounding box.\n * @property {number} xmax The maximum x coordinate of the bounding box.\n * @property {number} ymax The maximum y coordinate of the bounding box.\n */\n\n/**\n * Helper function to convert list [xmin, xmax, ymin, ymax] into object { \"xmin\": xmin, ... }\n * @param {number[]} box The bounding box as a list.\n * @param {boolean} asInteger Whether to cast to integers.\n * @returns {BoundingBox} The bounding box as an object.\n * @private\n */\nfunction get_bounding_box(box, asInteger) {\n    if (asInteger) {\n        box = box.map(x => x | 0);\n    }\n    const [xmin, ymin, xmax, ymax] = box;\n\n    return { xmin, ymin, xmax, ymax };\n}\n\n\n/**\n * @callback DisposeType Disposes the item.\n * @returns {Promise<void>} A promise that resolves when the item has been disposed.\n * \n * @typedef {Object} Disposable\n * @property {DisposeType} dispose A promise that resolves when the pipeline has been disposed.\n */\n\n/**\n * The Pipeline class is the class from which all pipelines inherit.\n * Refer to this class for methods shared across different pipelines.\n * @extends Callable\n */\nexport class Pipeline extends Callable {\n    /**\n     * Create a new Pipeline.\n     * @param {Object} options An object containing the following properties:\n     * @param {string} [options.task] The task of the pipeline. Useful for specifying subtasks.\n     * @param {PreTrainedModel} [options.model] The model used by the pipeline.\n     * @param {PreTrainedTokenizer} [options.tokenizer=null] The tokenizer used by the pipeline (if any).\n     * @param {Processor} [options.processor=null] The processor used by the pipeline (if any).\n     */\n    constructor({ task, model, tokenizer = null, processor = null }) {\n        super();\n        this.task = task;\n        this.model = model;\n        this.tokenizer = tokenizer;\n        this.processor = processor;\n    }\n\n    /** @type {DisposeType} */\n    async dispose() {\n        await this.model.dispose();\n    }\n}\n\n/**\n * @typedef {Object} ModelTokenizerConstructorArgs\n * @property {string} task The task of the pipeline. Useful for specifying subtasks.\n * @property {PreTrainedModel} model The model used by the pipeline.\n * @property {PreTrainedTokenizer} tokenizer The tokenizer used by the pipeline.\n * \n * @typedef {ModelTokenizerConstructorArgs} TextPipelineConstructorArgs An object used to instantiate a text-based pipeline.\n */\n\n/**\n * @typedef {Object} ModelProcessorConstructorArgs\n * @property {string} task The task of the pipeline. Useful for specifying subtasks.\n * @property {PreTrainedModel} model The model used by the pipeline.\n * @property {Processor} processor The processor used by the pipeline.\n * \n * @typedef {ModelProcessorConstructorArgs} AudioPipelineConstructorArgs An object used to instantiate an audio-based pipeline.\n * @typedef {ModelProcessorConstructorArgs} ImagePipelineConstructorArgs An object used to instantiate an image-based pipeline.\n */\n\n\n/**\n * @typedef {Object} ModelTokenizerProcessorConstructorArgs\n * @property {string} task The task of the pipeline. Useful for specifying subtasks.\n * @property {PreTrainedModel} model The model used by the pipeline.\n * @property {PreTrainedTokenizer} tokenizer The tokenizer used by the pipeline.\n * @property {Processor} processor The processor used by the pipeline.\n * \n * @typedef {ModelTokenizerProcessorConstructorArgs} TextAudioPipelineConstructorArgs An object used to instantiate a text- and audio-based pipeline.\n * @typedef {ModelTokenizerProcessorConstructorArgs} TextImagePipelineConstructorArgs An object used to instantiate a text- and image-based pipeline.\n */\n\n/**\n * @typedef {Object} TextClassificationSingle\n * @property {string} label The label predicted.\n * @property {number} score The corresponding probability.\n * @typedef {TextClassificationSingle[]} TextClassificationOutput\n * \n * @typedef {Object} TextClassificationPipelineOptions Parameters specific to text classification pipelines.\n * @property {number} [topk=1] The number of top predictions to be returned.\n * \n * @callback TextClassificationPipelineCallback Classify the text(s) given as inputs.\n * @param {string|string[]} texts The input text(s) to be classified.\n * @param {TextClassificationPipelineOptions} [options] The options to use for text classification.\n * @returns {Promise<TextClassificationOutput|TextClassificationOutput[]>} An array or object containing the predicted labels and scores.\n * \n * @typedef {TextPipelineConstructorArgs & TextClassificationPipelineCallback & Disposable} TextClassificationPipelineType\n */\n\n/**\n * Text classification pipeline using any `ModelForSequenceClassification`.\n *\n * **Example:** Sentiment-analysis w/ `Xenova/distilbert-base-uncased-finetuned-sst-2-english`.\n * ```javascript\n * const classifier = await pipeline('sentiment-analysis', 'Xenova/distilbert-base-uncased-finetuned-sst-2-english');\n * const output = await classifier('I love transformers!');\n * // [{ label: 'POSITIVE', score: 0.999788761138916 }]\n * ```\n * \n * **Example:** Multilingual sentiment-analysis w/ `Xenova/bert-base-multilingual-uncased-sentiment` (and return top 5 classes).\n * ```javascript\n * const classifier = await pipeline('sentiment-analysis', 'Xenova/bert-base-multilingual-uncased-sentiment');\n * const output = await classifier('Le meilleur film de tous les temps.', { topk: 5 });\n * // [\n * //   { label: '5 stars', score: 0.9610759615898132 },\n * //   { label: '4 stars', score: 0.03323351591825485 },\n * //   { label: '3 stars', score: 0.0036155181005597115 },\n * //   { label: '1 star', score: 0.0011325967498123646 },\n * //   { label: '2 stars', score: 0.0009423971059732139 }\n * // ]\n * ```\n * \n * **Example:** Toxic comment classification w/ `Xenova/toxic-bert` (and return all classes).\n * ```javascript\n * const classifier = await pipeline('text-classification', 'Xenova/toxic-bert');\n * const output = await classifier('I hate you!', { topk: null });\n * // [\n * //   { label: 'toxic', score: 0.9593140482902527 },\n * //   { label: 'insult', score: 0.16187334060668945 },\n * //   { label: 'obscene', score: 0.03452680632472038 },\n * //   { label: 'identity_hate', score: 0.0223250575363636 },\n * //   { label: 'threat', score: 0.019197041168808937 },\n * //   { label: 'severe_toxic', score: 0.005651099607348442 }\n * // ]\n * ```\n */\nexport class TextClassificationPipeline extends (/** @type {new (options: TextPipelineConstructorArgs) => TextClassificationPipelineType} */ (Pipeline)) {\n\n    /**\n     * Create a new TextClassificationPipeline.\n     * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n\n    /** @type {TextClassificationPipelineCallback} */\n    async _call(texts, {\n        topk = 1\n    } = {}) {\n\n        // Run tokenization\n        const model_inputs = this.tokenizer(texts, {\n            padding: true,\n            truncation: true,\n        });\n\n        // Run model\n        const outputs = await this.model(model_inputs)\n\n        // TODO: Use softmax tensor function\n        const function_to_apply =\n            this.model.config.problem_type === 'multi_label_classification'\n                ? batch => batch.sigmoid().data\n                : batch => softmax(batch.data); // single_label_classification (default)\n\n        const id2label = this.model.config.id2label;\n\n        const toReturn = [];\n        for (const batch of outputs.logits) {\n            const output = function_to_apply(batch);\n            const scores = getTopItems(output, topk);\n\n            const vals = scores.map(x => ({\n                label: id2label[x[0]],\n                score: x[1],\n            }));\n            if (topk === 1) {\n                toReturn.push(...vals);\n            } else {\n                toReturn.push(vals);\n            }\n        }\n\n        return Array.isArray(texts) || topk === 1 ? /** @type {TextClassificationOutput} */ (toReturn) : /** @type {TextClassificationOutput[]} */ (toReturn)[0];\n    }\n}\n\n/**\n * @typedef {Object} TokenClassificationSingle\n * @property {string} word The token/word classified. This is obtained by decoding the selected tokens.\n * @property {number} score The corresponding probability for `entity`.\n * @property {string} entity The entity predicted for that token/word.\n * @property {number} index The index of the corresponding token in the sentence.\n * @property {number} [start] The index of the start of the corresponding entity in the sentence.\n * @property {number} [end] The index of the end of the corresponding entity in the sentence.\n * @typedef {TokenClassificationSingle[]} TokenClassificationOutput\n * \n * @typedef {Object} TokenClassificationPipelineOptions Parameters specific to token classification pipelines.\n * @property {string[]} [ignore_labels] A list of labels to ignore.\n * \n * @callback TokenClassificationPipelineCallback Classify each token of the text(s) given as inputs.\n * @param {string|string[]} texts One or several texts (or one list of texts) for token classification.\n * @param {TokenClassificationPipelineOptions} [options] The options to use for token classification.\n * @returns {Promise<TokenClassificationOutput|TokenClassificationOutput[]>} The result.\n * \n * @typedef {TextPipelineConstructorArgs & TokenClassificationPipelineCallback & Disposable} TokenClassificationPipelineType\n */\n\n/**\n * Named Entity Recognition pipeline using any `ModelForTokenClassification`.\n * \n * **Example:** Perform named entity recognition with `Xenova/bert-base-NER`.\n * ```javascript\n * const classifier = await pipeline('token-classification', 'Xenova/bert-base-NER');\n * const output = await classifier('My name is Sarah and I live in London');\n * // [\n * //   { entity: 'B-PER', score: 0.9980202913284302, index: 4, word: 'Sarah' },\n * //   { entity: 'B-LOC', score: 0.9994474053382874, index: 9, word: 'London' }\n * // ]\n * ```\n * \n * **Example:** Perform named entity recognition with `Xenova/bert-base-NER` (and return all labels).\n * ```javascript\n * const classifier = await pipeline('token-classification', 'Xenova/bert-base-NER');\n * const output = await classifier('Sarah lives in the United States of America', { ignore_labels: [] });\n * // [\n * //   { entity: 'B-PER', score: 0.9966587424278259, index: 1, word: 'Sarah' },\n * //   { entity: 'O', score: 0.9987385869026184, index: 2, word: 'lives' },\n * //   { entity: 'O', score: 0.9990072846412659, index: 3, word: 'in' },\n * //   { entity: 'O', score: 0.9988298416137695, index: 4, word: 'the' },\n * //   { entity: 'B-LOC', score: 0.9995510578155518, index: 5, word: 'United' },\n * //   { entity: 'I-LOC', score: 0.9990395307540894, index: 6, word: 'States' },\n * //   { entity: 'I-LOC', score: 0.9986724853515625, index: 7, word: 'of' },\n * //   { entity: 'I-LOC', score: 0.9975294470787048, index: 8, word: 'America' }\n * // ]\n * ```\n */\nexport class TokenClassificationPipeline extends (/** @type {new (options: TextPipelineConstructorArgs) => TokenClassificationPipelineType} */ (Pipeline)) {\n\n    /**\n     * Create a new TokenClassificationPipeline.\n     * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n\n    /** @type {TokenClassificationPipelineCallback} */\n    async _call(texts, {\n        ignore_labels = ['O'],\n    } = {}) {\n\n        const isBatched = Array.isArray(texts);\n\n        // Run tokenization\n        const model_inputs = this.tokenizer(isBatched ? texts : [texts], {\n            padding: true,\n            truncation: true,\n        });\n\n        // Run model\n        const outputs = await this.model(model_inputs)\n\n        const logits = outputs.logits;\n        const id2label = this.model.config.id2label;\n\n        const toReturn = [];\n        for (let i = 0; i < logits.dims[0]; ++i) {\n            const ids = model_inputs.input_ids[i];\n            const batch = logits[i];\n\n            // List of tokens that aren't ignored\n            const tokens = [];\n            for (let j = 0; j < batch.dims[0]; ++j) {\n                const tokenData = batch[j];\n                const topScoreIndex = max(tokenData.data)[1];\n\n                const entity = id2label ? id2label[topScoreIndex] : `LABEL_${topScoreIndex}`;\n                if (ignore_labels.includes(entity)) {\n                    // We predicted a token that should be ignored. So, we skip it.\n                    continue;\n                }\n\n                // TODO add option to keep special tokens?\n                const word = this.tokenizer.decode([ids[j].item()], { skip_special_tokens: true });\n                if (word === '') {\n                    // Was a special token. So, we skip it.\n                    continue;\n                }\n\n                const scores = softmax(tokenData.data);\n\n                tokens.push({\n                    entity: entity,\n                    score: scores[topScoreIndex],\n                    index: j,\n                    word: word,\n\n                    // TODO: null for now, but will add\n                    start: null,\n                    end: null,\n                });\n            }\n            toReturn.push(tokens);\n        }\n        return isBatched ? toReturn : toReturn[0];\n    }\n}\n\n/**\n * @typedef {Object} QuestionAnsweringOutput\n * @property {number} score The probability associated to the answer.\n * @property {number} [start] The character start index of the answer (in the tokenized version of the input).\n * @property {number} [end] The character end index of the answer (in the tokenized version of the input).\n * @property {string} answer The answer to the question.\n * \n * @typedef {Object} QuestionAnsweringPipelineOptions Parameters specific to question answering pipelines.\n * @property {number} [topk=1] The number of top answer predictions to be returned.\n * \n * @callback QuestionAnsweringPipelineCallback Answer the question(s) given as inputs by using the context(s).\n * @param {string|string[]} question One or several question(s) (must be used in conjunction with the `context` argument).\n * @param {string|string[]} context One or several context(s) associated with the question(s) (must be used in conjunction with the `question` argument).\n * @param {QuestionAnsweringPipelineOptions} [options] The options to use for question answering.\n * @returns {Promise<QuestionAnsweringOutput|QuestionAnsweringOutput[]>} An array or object containing the predicted answers and scores.\n * \n * @typedef {TextPipelineConstructorArgs & QuestionAnsweringPipelineCallback & Disposable} QuestionAnsweringPipelineType\n */\n\n/**\n * Question Answering pipeline using any `ModelForQuestionAnswering`.\n * \n * **Example:** Run question answering with `Xenova/distilbert-base-uncased-distilled-squad`.\n * ```javascript\n * const answerer = await pipeline('question-answering', 'Xenova/distilbert-base-uncased-distilled-squad');\n * const question = 'Who was Jim Henson?';\n * const context = 'Jim Henson was a nice puppet.';\n * const output = await answerer(question, context);\n * // {\n * //   answer: \"a nice puppet\",\n * //   score: 0.5768911502526741\n * // }\n * ```\n */\nexport class QuestionAnsweringPipeline extends (/** @type {new (options: TextPipelineConstructorArgs) => QuestionAnsweringPipelineType} */ (Pipeline)) {\n\n    /**\n     * Create a new QuestionAnsweringPipeline.\n     * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n\n    /** @type {QuestionAnsweringPipelineCallback} */\n    async _call(question, context, {\n        topk = 1\n    } = {}) {\n\n        // Run tokenization\n        const inputs = this.tokenizer(question, {\n            text_pair: context,\n            padding: true,\n            truncation: true,\n        });\n\n        const output = await this.model(inputs);\n\n        /** @type {QuestionAnsweringOutput[]} */\n        const toReturn = [];\n        for (let j = 0; j < output.start_logits.dims[0]; ++j) {\n            const ids = inputs.input_ids[j];\n            const sepIndex = ids.indexOf(this.tokenizer.sep_token_id);\n\n            const s1 = Array.from(softmax(output.start_logits[j].data))\n                .map((x, i) => [x, i])\n                .filter(x => x[1] > sepIndex);\n            const e1 = Array.from(softmax(output.end_logits[j].data))\n                .map((x, i) => [x, i])\n                .filter(x => x[1] > sepIndex);\n\n            const options = product(s1, e1)\n                .filter(x => x[0][1] <= x[1][1])\n                .map(x => [x[0][1], x[1][1], x[0][0] * x[1][0]])\n                .sort((a, b) => b[2] - a[2]);\n\n            for (let k = 0; k < Math.min(options.length, topk); ++k) {\n                const [start, end, score] = options[k];\n\n                const answer_tokens = [...ids].slice(start, end + 1)\n\n                const answer = this.tokenizer.decode(answer_tokens, {\n                    skip_special_tokens: true,\n                });\n\n                // TODO add start and end?\n                // NOTE: HF returns character index\n                toReturn.push({\n                    answer, score\n                });\n            }\n        }\n\n        // Mimic HF's return type based on topk\n        return (topk === 1) ? toReturn[0] : toReturn;\n    }\n}\n\n\n/**\n * @typedef {Object} FillMaskSingle\n * @property {string} sequence The corresponding input with the mask token prediction.\n * @property {number} score The corresponding probability.\n * @property {number} token The predicted token id (to replace the masked one).\n * @property {string} token_str The predicted token (to replace the masked one).\n * @typedef {FillMaskSingle[]} FillMaskOutput\n * \n * @typedef {Object} FillMaskPipelineOptions Parameters specific to fill mask pipelines.\n * @property {number} [topk=5] When passed, overrides the number of predictions to return.\n * \n * @callback FillMaskPipelineCallback Fill the masked token in the text(s) given as inputs.\n * @param {string|string[]} texts One or several texts (or one list of prompts) with masked tokens.\n * @param {FillMaskPipelineOptions} [options] The options to use for masked language modelling.\n * @returns {Promise<FillMaskOutput|FillMaskOutput[]>} An array of objects containing the score, predicted token, predicted token string,\n * and the sequence with the predicted token filled in, or an array of such arrays (one for each input text).\n * If only one input text is given, the output will be an array of objects.\n * @throws {Error} When the mask token is not found in the input text.\n * \n * @typedef {TextPipelineConstructorArgs & FillMaskPipelineCallback & Disposable} FillMaskPipelineType\n */\n\n/**\n * Masked language modeling prediction pipeline using any `ModelWithLMHead`.\n * \n * **Example:** Perform masked language modelling (a.k.a. \"fill-mask\") with `Xenova/bert-base-uncased`.\n * ```javascript\n * const unmasker = await pipeline('fill-mask', 'Xenova/bert-base-cased');\n * const output = await unmasker('The goal of life is [MASK].');\n * // [\n * //   { token_str: 'survival', score: 0.06137419492006302, token: 8115, sequence: 'The goal of life is survival.' },\n * //   { token_str: 'love', score: 0.03902450203895569, token: 1567, sequence: 'The goal of life is love.' },\n * //   { token_str: 'happiness', score: 0.03253183513879776, token: 9266, sequence: 'The goal of life is happiness.' },\n * //   { token_str: 'freedom', score: 0.018736306577920914, token: 4438, sequence: 'The goal of life is freedom.' },\n * //   { token_str: 'life', score: 0.01859794743359089, token: 1297, sequence: 'The goal of life is life.' }\n * // ]\n * ```\n * \n * **Example:** Perform masked language modelling (a.k.a. \"fill-mask\") with `Xenova/bert-base-cased` (and return top result).\n * ```javascript\n * const unmasker = await pipeline('fill-mask', 'Xenova/bert-base-cased');\n * const output = await unmasker('The Milky Way is a [MASK] galaxy.', { topk: 1 });\n * // [{ token_str: 'spiral', score: 0.6299987435340881, token: 14061, sequence: 'The Milky Way is a spiral galaxy.' }]\n * ```\n */\nexport class FillMaskPipeline extends (/** @type {new (options: TextPipelineConstructorArgs) => FillMaskPipelineType} */ (Pipeline)) {\n\n    /**\n     * Create a new FillMaskPipeline.\n     * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n\n    /** @type {FillMaskPipelineCallback} */\n    async _call(texts, {\n        topk = 5\n    } = {}) {\n\n        // Run tokenization\n        const model_inputs = this.tokenizer(texts, {\n            padding: true,\n            truncation: true,\n        });\n\n        // Run model\n        const outputs = await this.model(model_inputs)\n\n        const toReturn = [];\n\n        for (let i = 0; i < model_inputs.input_ids.dims[0]; ++i) {\n            const ids = model_inputs.input_ids[i];\n            const mask_token_index = ids.indexOf(this.tokenizer.mask_token_id)\n\n            if (mask_token_index === -1) {\n                throw Error(`Mask token (${this.tokenizer.mask_token}) not found in text.`)\n            }\n            const logits = outputs.logits[i];\n            const itemLogits = logits[mask_token_index];\n\n            const scores = getTopItems(softmax(itemLogits.data), topk);\n\n            toReturn.push(scores.map(x => {\n                const sequence = [...ids];\n                sequence[mask_token_index] = x[0];\n\n                return {\n                    score: x[1],\n                    token: x[0],\n                    token_str: this.tokenizer.model.vocab[x[0]],\n                    sequence: this.tokenizer.decode(sequence, { skip_special_tokens: true }),\n                }\n            }));\n        }\n        return Array.isArray(texts) ? toReturn : toReturn[0];\n    }\n}\n\n\n/**\n * @typedef {Object} Text2TextGenerationSingle\n * @property {string} generated_text The generated text.\n * @typedef {Text2TextGenerationSingle[]} Text2TextGenerationOutput\n * \n * @callback Text2TextGenerationPipelineCallback Generate the output text(s) using text(s) given as inputs.\n * @param {string|string[]} texts Input text for the encoder.\n * @param {import('./utils/generation.js').GenerationConfigType} [options] Additional keyword arguments to pass along to the generate method of the model.\n * @returns {Promise<Text2TextGenerationOutput|Text2TextGenerationOutput[]>}\n * \n * @typedef {TextPipelineConstructorArgs & Text2TextGenerationPipelineCallback & Disposable} Text2TextGenerationPipelineType\n */\n\n/**\n * Text2TextGenerationPipeline class for generating text using a model that performs text-to-text generation tasks.\n * \n * **Example:** Text-to-text generation w/ `Xenova/LaMini-Flan-T5-783M`.\n * ```javascript\n * const generator = await pipeline('text2text-generation', 'Xenova/LaMini-Flan-T5-783M');\n * const output = await generator('how can I become more healthy?', {\n *   max_new_tokens: 100,\n * });\n * // [{ generated_text: \"To become more healthy, you can: 1. Eat a balanced diet with plenty of fruits, vegetables, whole grains, lean proteins, and healthy fats. 2. Stay hydrated by drinking plenty of water. 3. Get enough sleep and manage stress levels. 4. Avoid smoking and excessive alcohol consumption. 5. Regularly exercise and maintain a healthy weight. 6. Practice good hygiene and sanitation. 7. Seek medical attention if you experience any health issues.\" }]\n * ```\n */\nexport class Text2TextGenerationPipeline extends (/** @type {new (options: TextPipelineConstructorArgs) => Text2TextGenerationPipelineType} */ (Pipeline)) {\n    /** @type {'generated_text'} */\n    _key = 'generated_text';\n\n    /**\n     * Create a new Text2TextGenerationPipeline.\n     * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n\n    /** @type {Text2TextGenerationPipelineCallback} */\n    async _call(texts, generate_kwargs = {}) {\n        if (!Array.isArray(texts)) {\n            texts = [texts];\n        }\n\n\n        // Add global prefix, if present\n        if (this.model.config.prefix) {\n            texts = texts.map(x => this.model.config.prefix + x)\n        }\n\n        // Handle task specific params:\n        const task_specific_params = this.model.config.task_specific_params\n        if (task_specific_params && task_specific_params[this.task]) {\n            // Add prefixes, if present\n            if (task_specific_params[this.task].prefix) {\n                texts = texts.map(x => task_specific_params[this.task].prefix + x)\n            }\n\n            // TODO update generation config\n        }\n\n        const tokenizer = this.tokenizer;\n        const tokenizer_options = {\n            padding: true,\n            truncation: true,\n        }\n        let input_ids;\n        if (this instanceof TranslationPipeline && '_build_translation_inputs' in tokenizer) {\n            // TODO: move to Translation pipeline?\n            // Currently put here to avoid code duplication\n            // @ts-ignore\n            input_ids = tokenizer._build_translation_inputs(texts, tokenizer_options, generate_kwargs).input_ids;\n\n        } else {\n            input_ids = tokenizer(texts, tokenizer_options).input_ids;\n        }\n\n        const outputTokenIds = await this.model.generate(input_ids, generate_kwargs);\n\n        return tokenizer.batch_decode(outputTokenIds, {\n            skip_special_tokens: true,\n        }).map(text => ({ [this._key]: text }));\n    }\n}\n\n\n/**\n * @typedef {Object} SummarizationSingle\n * @property {string} summary_text The summary text.\n * @typedef {SummarizationSingle[]} SummarizationOutput\n * \n * @callback SummarizationPipelineCallback Summarize the text(s) given as inputs.\n * @param {string|string[]} texts One or several articles (or one list of articles) to summarize.\n * @param {import('./utils/generation.js').GenerationConfigType} [options] Additional keyword arguments to pass along to the generate method of the model.\n * @returns {Promise<SummarizationOutput|SummarizationOutput[]>}\n * \n * @typedef {TextPipelineConstructorArgs & SummarizationPipelineCallback & Disposable} SummarizationPipelineType\n */\n\n/**\n * A pipeline for summarization tasks, inheriting from Text2TextGenerationPipeline.\n * \n * **Example:** Summarization w/ `Xenova/distilbart-cnn-6-6`.\n * ```javascript\n * const generator = await pipeline('summarization', 'Xenova/distilbart-cnn-6-6');\n * const text = 'The tower is 324 metres (1,063 ft) tall, about the same height as an 81-storey building, ' +\n *   'and the tallest structure in Paris. Its base is square, measuring 125 metres (410 ft) on each side. ' +\n *   'During its construction, the Eiffel Tower surpassed the Washington Monument to become the tallest ' +\n *   'man-made structure in the world, a title it held for 41 years until the Chrysler Building in New ' +\n *   'York City was finished in 1930. It was the first structure to reach a height of 300 metres. Due to ' +\n *   'the addition of a broadcasting aerial at the top of the tower in 1957, it is now taller than the ' +\n *   'Chrysler Building by 5.2 metres (17 ft). Excluding transmitters, the Eiffel Tower is the second ' +\n *   'tallest free-standing structure in France after the Millau Viaduct.';\n * const output = await generator(text, {\n *   max_new_tokens: 100,\n * });\n * // [{ summary_text: ' The Eiffel Tower is about the same height as an 81-storey building and the tallest structure in Paris. It is the second tallest free-standing structure in France after the Millau Viaduct.' }]\n * ```\n */\nexport class SummarizationPipeline extends (/** @type {new (options: TextPipelineConstructorArgs) => SummarizationPipelineType} */ (/** @type {any} */ (Text2TextGenerationPipeline))) {\n    /** @type {'summary_text'} */\n    _key = 'summary_text';\n\n    /**\n     * Create a new SummarizationPipeline.\n     * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n}\n\n\n/**\n * @typedef {Object} TranslationSingle\n * @property {string} translation_text The translated text.\n * @typedef {TranslationSingle[]} TranslationOutput\n * \n * @callback TranslationPipelineCallback Translate the text(s) given as inputs.\n * @param {string|string[]} texts Texts to be translated.\n * @param {import('./utils/generation.js').GenerationConfigType} [options] Additional keyword arguments to pass along to the generate method of the model.\n * @returns {Promise<TranslationOutput|TranslationOutput[]>}\n * \n * @typedef {TextPipelineConstructorArgs & TranslationPipelineCallback & Disposable} TranslationPipelineType\n */\n\n/**\n * Translates text from one language to another.\n * \n * **Example:** Multilingual translation w/ `Xenova/nllb-200-distilled-600M`.\n * \n * See [here](https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200)\n * for the full list of languages and their corresponding codes.\n * \n * ```javascript\n * const translator = await pipeline('translation', 'Xenova/nllb-200-distilled-600M');\n * const output = await translator('जीवन एक चॉकलेट बॉक्स की तरह है।', {\n *   src_lang: 'hin_Deva', // Hindi\n *   tgt_lang: 'fra_Latn', // French\n * });\n * // [{ translation_text: 'La vie est comme une boîte à chocolat.' }]\n * ```\n * \n * **Example:** Multilingual translation w/ `Xenova/m2m100_418M`.\n * \n * See [here](https://huggingface.co/facebook/m2m100_418M#languages-covered)\n * for the full list of languages and their corresponding codes.\n * \n * ```javascript\n * const translator = await pipeline('translation', 'Xenova/m2m100_418M');\n * const output = await translator('生活就像一盒巧克力。', {\n *   src_lang: 'zh', // Chinese\n *   tgt_lang: 'en', // English\n * });\n * // [{ translation_text: 'Life is like a box of chocolate.' }]\n * ```\n * \n * **Example:** Multilingual translation w/ `Xenova/mbart-large-50-many-to-many-mmt`.\n * \n * See [here](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt#languages-covered)\n * for the full list of languages and their corresponding codes.\n * \n * ```javascript\n * const translator = await pipeline('translation', 'Xenova/mbart-large-50-many-to-many-mmt');\n * const output = await translator('संयुक्त राष्ट्र के प्रमुख का कहना है कि सीरिया में कोई सैन्य समाधान नहीं है', {\n *   src_lang: 'hi_IN', // Hindi\n *   tgt_lang: 'fr_XX', // French\n * });\n * // [{ translation_text: 'Le chef des Nations affirme qu 'il n 'y a military solution in Syria.' }]\n * ```\n */\nexport class TranslationPipeline extends (/** @type {new (options: TextPipelineConstructorArgs) => TranslationPipelineType} */ (/** @type {any} */ (Text2TextGenerationPipeline))) {\n    /** @type {'translation_text'} */\n    _key = 'translation_text';\n\n    /**\n     * Create a new TranslationPipeline.\n     * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n}\n\nfunction isChat(x) {\n    return Array.isArray(x) && x.every(x => 'role' in x && 'content' in x);\n}\n\n/**\n * @typedef {import('./tokenizers.js').Message[]} Chat\n * \n * @typedef {Object} TextGenerationSingle\n * @property {string|Chat} generated_text The generated text.\n * @typedef {TextGenerationSingle[]} TextGenerationOutput\n * \n * @typedef {Object} TextGenerationSpecificParams Parameters specific to text-generation pipelines.\n * @property {boolean} [add_special_tokens] Whether or not to add special tokens when tokenizing the sequences.\n * @property {boolean} [return_full_text=true] If set to `false` only added text is returned, otherwise the full text is returned.\n * @typedef {import('./utils/generation.js').GenerationConfigType & TextGenerationSpecificParams} TextGenerationConfig\n * \n * @callback TextGenerationPipelineCallback Complete the prompt(s) given as inputs.\n * @param {string|string[]|Chat|Chat[]} texts One or several prompts (or one list of prompts) to complete.\n * @param {TextGenerationConfig} [options] Additional keyword arguments to pass along to the generate method of the model.\n * @returns {Promise<TextGenerationOutput|TextGenerationOutput[]>} An array or object containing the generated texts.\n * \n * @typedef {TextPipelineConstructorArgs & TextGenerationPipelineCallback & Disposable} TextGenerationPipelineType\n */\n\n/**\n * Language generation pipeline using any `ModelWithLMHead` or `ModelForCausalLM`.\n * This pipeline predicts the words that will follow a specified text prompt.\n * NOTE: For the full list of generation parameters, see [`GenerationConfig`](./utils/generation#module_utils/generation.GenerationConfig).\n * \n * **Example:** Text generation with `Xenova/distilgpt2` (default settings).\n * ```javascript\n * const generator = await pipeline('text-generation', 'Xenova/distilgpt2');\n * const text = 'I enjoy walking with my cute dog,';\n * const output = await generator(text);\n * // [{ generated_text: \"I enjoy walking with my cute dog, and I love to play with the other dogs.\" }]\n * ```\n * \n * **Example:** Text generation with `Xenova/distilgpt2` (custom settings).\n * ```javascript\n * const generator = await pipeline('text-generation', 'Xenova/distilgpt2');\n * const text = 'Once upon a time, there was';\n * const output = await generator(text, {\n *   temperature: 2,\n *   max_new_tokens: 10,\n *   repetition_penalty: 1.5,\n *   no_repeat_ngram_size: 2,\n *   num_beams: 2,\n *   num_return_sequences: 2,\n * });\n * // [{\n * //   \"generated_text\": \"Once upon a time, there was an abundance of information about the history and activities that\"\n * // }, {\n * //   \"generated_text\": \"Once upon a time, there was an abundance of information about the most important and influential\"\n * // }]\n * ```\n * \n * **Example:** Run code generation with `Xenova/codegen-350M-mono`.\n * ```javascript\n * const generator = await pipeline('text-generation', 'Xenova/codegen-350M-mono');\n * const text = 'def fib(n):';\n * const output = await generator(text, {\n *   max_new_tokens: 44,\n * });\n * // [{\n * //   generated_text: 'def fib(n):\\n' +\n * //     '    if n == 0:\\n' +\n * //     '        return 0\\n' +\n * //     '    elif n == 1:\\n' +\n * //     '        return 1\\n' +\n * //     '    else:\\n' +\n * //     '        return fib(n-1) + fib(n-2)\\n'\n * // }]\n * ```\n */\nexport class TextGenerationPipeline extends (/** @type {new (options: TextPipelineConstructorArgs) => TextGenerationPipelineType} */ (Pipeline)) {\n\n    /**\n     * Create a new TextGenerationPipeline.\n     * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n\n    /** @type {TextGenerationPipelineCallback} */\n    async _call(texts, generate_kwargs = {}) {\n        let isBatched = false;\n        let isChatInput = false;\n\n        // Normalize inputs\n        /** @type {string[]} */\n        let inputs;\n        if (typeof texts === 'string') {\n            inputs = texts = [texts];\n        } else if (Array.isArray(texts) && texts.every(x => typeof x === 'string')) {\n            isBatched = true;\n            inputs = /** @type {string[]} */(texts);\n        } else {\n            if (isChat(texts)) {\n                texts = [/** @type {Chat} */(texts)];\n            } else if (Array.isArray(texts) && texts.every(isChat)) {\n                isBatched = true;\n            } else {\n                throw new Error('Input must be a string, an array of strings, a Chat, or an array of Chats');\n            }\n            isChatInput = true;\n\n            // If the input is a chat, we need to apply the chat template\n            inputs = /** @type {string[]} */(/** @type {Chat[]} */ (texts).map(\n                x => this.tokenizer.apply_chat_template(x, {\n                    tokenize: false,\n                    add_generation_prompt: true,\n                })\n            ));\n        }\n\n        // By default, do not add special tokens\n        const add_special_tokens = generate_kwargs.add_special_tokens ?? false;\n\n        // By default, return full text\n        const return_full_text = isChatInput\n            ? false\n            : generate_kwargs.return_full_text ?? true;\n\n        this.tokenizer.padding_side = 'left';\n        const { input_ids, attention_mask } = this.tokenizer(inputs, {\n            add_special_tokens,\n            padding: true,\n            truncation: true,\n        });\n\n        const outputTokenIds = await this.model.generate(input_ids, generate_kwargs, null, {\n            inputs_attention_mask: attention_mask\n        });\n\n        let decoded = this.tokenizer.batch_decode(outputTokenIds, {\n            skip_special_tokens: true,\n        });\n\n\n        let promptLengths;\n        if (!return_full_text && input_ids.dims.at(-1) > 0) {\n            promptLengths = this.tokenizer.batch_decode(input_ids, {\n                skip_special_tokens: true,\n            }).map(x => x.length);\n        }\n\n        /** @type {TextGenerationOutput[]} */\n        const toReturn = Array.from({ length: texts.length }, _ => []);\n        for (let i = 0; i < decoded.length; ++i) {\n            const textIndex = Math.floor(i / outputTokenIds.length * texts.length);\n\n            if (promptLengths) {\n                // Trim the decoded text to only include the generated part\n                decoded[i] = decoded[i].slice(promptLengths[textIndex]);\n            }\n            toReturn[textIndex].push({\n                generated_text: isChatInput\n                    ? [\n                        ...((/** @type {Chat[]} */(texts)[textIndex])),\n                        { role: 'assistant', content: decoded[i] },\n                    ]\n                    : decoded[i]\n            });\n        }\n        return (!isBatched && toReturn.length === 1) ? toReturn[0] : toReturn;\n    }\n}\n\n/**\n * @typedef {Object} ZeroShotClassificationOutput\n * @property {string} sequence The sequence for which this is the output.\n * @property {string[]} labels The labels sorted by order of likelihood.\n * @property {number[]} scores The probabilities for each of the labels.\n * \n * @typedef {Object} ZeroShotClassificationPipelineOptions Parameters specific to zero-shot classification pipelines.\n * @property {string} [hypothesis_template=\"This example is {}.\"] The template used to turn each\n * candidate label into an NLI-style hypothesis. The candidate label will replace the {} placeholder.\n * @property {boolean} [multi_label=false] Whether or not multiple candidate labels can be true.\n * If `false`, the scores are normalized such that the sum of the label likelihoods for each sequence\n * is 1. If `true`, the labels are considered independent and probabilities are normalized for each\n * candidate by doing a softmax of the entailment score vs. the contradiction score.\n * \n * @callback ZeroShotClassificationPipelineCallback Classify the sequence(s) given as inputs.\n * @param {string|string[]} texts The sequence(s) to classify, will be truncated if the model input is too large.\n * @param {string|string[]} candidate_labels The set of possible class labels to classify each sequence into.\n * Can be a single label, a string of comma-separated labels, or a list of labels.\n * @param {ZeroShotClassificationPipelineOptions} [options] The options to use for zero-shot classification.\n * @returns {Promise<ZeroShotClassificationOutput|ZeroShotClassificationOutput[]>} An array or object containing the predicted labels and scores.\n * \n * @typedef {TextPipelineConstructorArgs & ZeroShotClassificationPipelineCallback & Disposable} ZeroShotClassificationPipelineType\n */\n\n/**\n * NLI-based zero-shot classification pipeline using a `ModelForSequenceClassification`\n * trained on NLI (natural language inference) tasks. Equivalent of `text-classification`\n * pipelines, but these models don't require a hardcoded number of potential classes, they\n * can be chosen at runtime. It usually means it's slower but it is **much** more flexible.\n * \n * **Example:** Zero shot classification with `Xenova/mobilebert-uncased-mnli`.\n * ```javascript\n * const classifier = await pipeline('zero-shot-classification', 'Xenova/mobilebert-uncased-mnli');\n * const text = 'Last week I upgraded my iOS version and ever since then my phone has been overheating whenever I use your app.';\n * const labels = [ 'mobile', 'billing', 'website', 'account access' ];\n * const output = await classifier(text, labels);\n * // {\n * //   sequence: 'Last week I upgraded my iOS version and ever since then my phone has been overheating whenever I use your app.',\n * //   labels: [ 'mobile', 'website', 'billing', 'account access' ],\n * //   scores: [ 0.5562091040482018, 0.1843621307860853, 0.13942646639336376, 0.12000229877234923 ]\n * // }\n * ```\n * \n * **Example:** Zero shot classification with `Xenova/nli-deberta-v3-xsmall` (multi-label).\n * ```javascript\n * const classifier = await pipeline('zero-shot-classification', 'Xenova/nli-deberta-v3-xsmall');\n * const text = 'I have a problem with my iphone that needs to be resolved asap!';\n * const labels = [ 'urgent', 'not urgent', 'phone', 'tablet', 'computer' ];\n * const output = await classifier(text, labels, { multi_label: true });\n * // {\n * //   sequence: 'I have a problem with my iphone that needs to be resolved asap!',\n * //   labels: [ 'urgent', 'phone', 'computer', 'tablet', 'not urgent' ],\n * //   scores: [ 0.9958870956360275, 0.9923963400697035, 0.002333537946160235, 0.0015134138567598765, 0.0010699384208377163 ]\n * // }\n * ```\n */\nexport class ZeroShotClassificationPipeline extends (/** @type {new (options: TextPipelineConstructorArgs) => ZeroShotClassificationPipelineType} */ (Pipeline)) {\n    /**\n     * Create a new ZeroShotClassificationPipeline.\n     * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n\n        // Use model config to get label2id mapping\n        this.label2id = Object.fromEntries(\n            Object.entries((/** @type {any} */(this).model).config.label2id).map(\n                ([k, v]) => [k.toLowerCase(), v]\n            )\n        );\n\n        this.entailment_id = this.label2id['entailment'];\n        if (this.entailment_id === undefined) {\n            console.warn(\"Could not find 'entailment' in label2id mapping. Using 2 as entailment_id.\");\n            this.entailment_id = 2;\n        }\n\n        this.contradiction_id = this.label2id['contradiction'] ?? this.label2id['not_entailment'];\n        if (this.contradiction_id === undefined) {\n            console.warn(\"Could not find 'contradiction' in label2id mapping. Using 0 as contradiction_id.\");\n            this.contradiction_id = 0;\n        }\n    }\n\n    /** @type {ZeroShotClassificationPipelineCallback} */\n    async _call(texts, candidate_labels, {\n        hypothesis_template = \"This example is {}.\",\n        multi_label = false,\n    } = {}) {\n\n        const isBatched = Array.isArray(texts);\n        if (!isBatched) {\n            texts = [/** @type {string} */ (texts)];\n        }\n        if (!Array.isArray(candidate_labels)) {\n            candidate_labels = [candidate_labels];\n        }\n\n        // Insert labels into hypothesis template\n        const hypotheses = candidate_labels.map(\n            x => hypothesis_template.replace('{}', x)\n        );\n\n        // How to perform the softmax over the logits:\n        //  - true:  softmax over the entailment vs. contradiction dim for each label independently\n        //  - false: softmax the \"entailment\" logits over all candidate labels\n        const softmaxEach = multi_label || candidate_labels.length === 1;\n\n        /** @type {ZeroShotClassificationOutput[]} */\n        const toReturn = [];\n        for (const premise of texts) {\n            const entails_logits = [];\n\n            for (const hypothesis of hypotheses) {\n                const inputs = this.tokenizer(premise, {\n                    text_pair: hypothesis,\n                    padding: true,\n                    truncation: true,\n                })\n                const outputs = await this.model(inputs)\n\n                if (softmaxEach) {\n                    entails_logits.push([\n                        outputs.logits.data[this.contradiction_id],\n                        outputs.logits.data[this.entailment_id]\n                    ])\n                } else {\n                    entails_logits.push(outputs.logits.data[this.entailment_id])\n                }\n            }\n\n            /** @type {number[]} */\n            const scores = softmaxEach\n                ? entails_logits.map(x => softmax(x)[1])\n                : softmax(entails_logits);\n\n            // Sort by scores (desc) and return scores with indices\n            const scores_sorted = scores\n                .map((x, i) => [x, i])\n                .sort((a, b) => (b[0] - a[0]));\n\n            toReturn.push({\n                sequence: premise,\n                labels: scores_sorted.map(x => candidate_labels[x[1]]),\n                scores: scores_sorted.map(x => x[0]),\n            });\n        }\n        return isBatched ? toReturn : toReturn[0];\n    }\n}\n\n/**\n * @typedef {Object} FeatureExtractionPipelineOptions Parameters specific to feature extraction pipelines.\n * @property {'none'|'mean'|'cls'} [pooling=\"none\"] The pooling method to use.\n * @property {boolean} [normalize=false] Whether or not to normalize the embeddings in the last dimension.\n * @property {boolean} [quantize=false] Whether or not to quantize the embeddings.\n * @property {'binary'|'ubinary'} [precision='binary'] The precision to use for quantization. \n * \n * @callback FeatureExtractionPipelineCallback Extract the features of the input(s).\n * @param {string|string[]} texts One or several texts (or one list of texts) to get the features of.\n * @param {FeatureExtractionPipelineOptions} [options] The options to use for feature extraction.\n * @returns {Promise<Tensor>} The features computed by the model.\n * \n * @typedef {TextPipelineConstructorArgs & FeatureExtractionPipelineCallback & Disposable} FeatureExtractionPipelineType\n */\n\n/**\n * Feature extraction pipeline using no model head. This pipeline extracts the hidden\n * states from the base transformer, which can be used as features in downstream tasks.\n * \n * **Example:** Run feature extraction with `bert-base-uncased` (without pooling/normalization).\n * ```javascript\n * const extractor = await pipeline('feature-extraction', 'Xenova/bert-base-uncased', { revision: 'default' });\n * const output = await extractor('This is a simple test.');\n * // Tensor {\n * //   type: 'float32',\n * //   data: Float32Array [0.05939924716949463, 0.021655935794115067, ...],\n * //   dims: [1, 8, 768]\n * // }\n * ```\n * \n * **Example:** Run feature extraction with `bert-base-uncased` (with pooling/normalization).\n * ```javascript\n * const extractor = await pipeline('feature-extraction', 'Xenova/bert-base-uncased', { revision: 'default' });\n * const output = await extractor('This is a simple test.', { pooling: 'mean', normalize: true });\n * // Tensor {\n * //   type: 'float32',\n * //   data: Float32Array [0.03373778983950615, -0.010106077417731285, ...],\n * //   dims: [1, 768]\n * // }\n * ```\n * \n * **Example:** Calculating embeddings with `sentence-transformers` models.\n * ```javascript\n * const extractor = await pipeline('feature-extraction', 'Xenova/all-MiniLM-L6-v2');\n * const output = await extractor('This is a simple test.', { pooling: 'mean', normalize: true });\n * // Tensor {\n * //   type: 'float32',\n * //   data: Float32Array [0.09094982594251633, -0.014774246141314507, ...],\n * //   dims: [1, 384]\n * // }\n * ```\n * **Example:** Calculating binary embeddings with `sentence-transformers` models.\n * ```javascript\n * const extractor = await pipeline('feature-extraction', 'Xenova/all-MiniLM-L6-v2');\n * const output = await extractor('This is a simple test.', { pooling: 'mean', quantize: true, precision: 'binary' });\n * // Tensor {\n * //   type: 'int8',\n * //   data: Int8Array [49, 108, 24, ...],\n * //   dims: [1, 48]\n * // }\n * ```\n */\nexport class FeatureExtractionPipeline extends (/** @type {new (options: TextPipelineConstructorArgs) => FeatureExtractionPipelineType} */ (Pipeline)) {\n    /**\n     * Create a new FeatureExtractionPipeline.\n     * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n\n    /** @type {FeatureExtractionPipelineCallback} */\n    async _call(texts, {\n        pooling = /** @type {'none'} */('none'),\n        normalize = false,\n        quantize = false,\n        precision = /** @type {'binary'} */('binary'),\n    } = {}) {\n\n        // Run tokenization\n        const model_inputs = this.tokenizer(texts, {\n            padding: true,\n            truncation: true,\n        });\n\n        // Run model\n        const outputs = await this.model(model_inputs)\n\n        // TODO: Provide warning to the user that they might be using model which was not exported\n        // specifically for feature extraction\n        // console.log(this.model.config)\n        // console.log(outputs)\n\n        /** @type {Tensor} */\n        let result = outputs.last_hidden_state ?? outputs.logits ?? outputs.token_embeddings;\n        if (pooling === 'none') {\n            // Skip pooling\n        } else if (pooling === 'mean') {\n            result = mean_pooling(result, model_inputs.attention_mask);\n        } else if (pooling === 'cls') {\n            result = result.slice(null, 0);\n        } else {\n            throw Error(`Pooling method '${pooling}' not supported.`);\n        }\n\n        if (normalize) {\n            result = result.normalize(2, -1);\n        }\n\n        if (quantize) {\n            result = quantize_embeddings(result, precision);\n        }\n\n        return result;\n    }\n}\n\n\n/**\n * @typedef {Object} ImageFeatureExtractionPipelineOptions Parameters specific to image feature extraction pipelines.\n * @property {boolean} [pool=null] Whether or not to return the pooled output. If set to `false`, the model will return the raw hidden states.\n * \n * @callback ImageFeatureExtractionPipelineCallback Extract the features of the input(s).\n * @param {ImagePipelineInputs} images One or several images (or one list of images) to get the features of.\n * @param {ImageFeatureExtractionPipelineOptions} [options] The options to use for image feature extraction.\n * @returns {Promise<Tensor>} The image features computed by the model.\n * \n * @typedef {ImagePipelineConstructorArgs & ImageFeatureExtractionPipelineCallback & Disposable} ImageFeatureExtractionPipelineType\n */\n\n/**\n * Image feature extraction pipeline using no model head. This pipeline extracts the hidden\n * states from the base transformer, which can be used as features in downstream tasks.\n * \n * **Example:** Perform image feature extraction with `Xenova/vit-base-patch16-224-in21k`.\n * ```javascript\n * const image_feature_extractor = await pipeline('image-feature-extraction', 'Xenova/vit-base-patch16-224-in21k');\n * const url = 'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/cats.png';\n * const features = await image_feature_extractor(url);\n * // Tensor {\n * //   dims: [ 1, 197, 768 ],\n * //   type: 'float32',\n * //   data: Float32Array(151296) [ ... ],\n * //   size: 151296\n * // }\n * ```\n * \n * **Example:** Compute image embeddings with `Xenova/clip-vit-base-patch32`.\n * ```javascript\n * const image_feature_extractor = await pipeline('image-feature-extraction', 'Xenova/clip-vit-base-patch32');\n * const url = 'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/cats.png';\n * const features = await image_feature_extractor(url);\n * // Tensor {\n * //   dims: [ 1, 512 ],\n * //   type: 'float32',\n * //   data: Float32Array(512) [ ... ],\n * //   size: 512\n * // }\n * ```\n */\nexport class ImageFeatureExtractionPipeline extends (/** @type {new (options: ImagePipelineConstructorArgs) => ImageFeatureExtractionPipelineType} */ (Pipeline)) {\n    /**\n     * Create a new ImageFeatureExtractionPipeline.\n     * @param {ImagePipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n\n    /** @type {ImageFeatureExtractionPipelineCallback} */\n    async _call(images, {\n        pool = null,\n    } = {}) {\n\n        const preparedImages = await prepareImages(images);\n        const { pixel_values } = await this.processor(preparedImages);\n        const outputs = await this.model({ pixel_values });\n\n        /** @type {Tensor} */\n        let result;\n        if (pool) {\n            if (!('pooler_output' in outputs)) {\n                throw Error(`No pooled output was returned. Make sure the model has a 'pooler' layer when using the 'pool' option.`);\n            }\n            result = outputs.pooler_output;\n\n        } else {\n            result = outputs.last_hidden_state ?? outputs.logits ?? outputs.image_embeds;\n        }\n        return result;\n    }\n}\n\n// TODO\n// export class SentenceSimilarityPipeline extends Pipeline {\n// }\n\n/**\n * @typedef {Object} AudioClassificationSingle\n * @property {string} label The label predicted.\n * @property {number} score The corresponding probability.\n * @typedef {AudioClassificationSingle[]} AudioClassificationOutput\n * \n * @typedef {Object} AudioClassificationPipelineOptions Parameters specific to audio classification pipelines.\n * @property {number} [topk=null] The number of top labels that will be returned by the pipeline.\n * If the provided number is `null` or higher than the number of labels available in the model configuration,\n * it will default to the number of labels.\n * \n * @callback AudioClassificationPipelineCallback Classify the sequence(s) given as inputs.\n * @param {AudioPipelineInputs} audio The input audio file(s) to be classified. The input is either:\n * - `string` or `URL` that is the filename/URL of the audio file, the file will be read at the processor's sampling rate\n * to get the waveform using the [`AudioContext`](https://developer.mozilla.org/en-US/docs/Web/API/AudioContext) API.\n * If `AudioContext` is not available, you should pass the raw waveform in as a Float32Array of shape `(n, )`.\n * - `Float32Array` or `Float64Array` of shape `(n, )`, representing the raw audio at the correct sampling rate (no further check will be done).\n * @param {AudioClassificationPipelineOptions} [options] The options to use for audio classification.\n * @returns {Promise<AudioClassificationOutput|AudioClassificationOutput[]>} An array or object containing the predicted labels and scores.\n * \n * @typedef {AudioPipelineConstructorArgs & AudioClassificationPipelineCallback & Disposable} AudioClassificationPipelineType\n */\n\n/**\n * Audio classification pipeline using any `AutoModelForAudioClassification`.\n * This pipeline predicts the class of a raw waveform or an audio file.\n * \n * **Example:** Perform audio classification with `Xenova/wav2vec2-large-xlsr-53-gender-recognition-librispeech`.\n * ```javascript\n * const classifier = await pipeline('audio-classification', 'Xenova/wav2vec2-large-xlsr-53-gender-recognition-librispeech');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';\n * const output = await classifier(url);\n * // [\n * //   { label: 'male', score: 0.9981542229652405 },\n * //   { label: 'female', score: 0.001845747814513743 }\n * // ]\n * ```\n * \n * **Example:** Perform audio classification with `Xenova/ast-finetuned-audioset-10-10-0.4593` and return top 4 results.\n * ```javascript\n * const classifier = await pipeline('audio-classification', 'Xenova/ast-finetuned-audioset-10-10-0.4593');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cat_meow.wav';\n * const output = await classifier(url, { topk: 4 });\n * // [\n * //   { label: 'Meow', score: 0.5617874264717102 },\n * //   { label: 'Cat', score: 0.22365376353263855 },\n * //   { label: 'Domestic animals, pets', score: 0.1141069084405899 },\n * //   { label: 'Animal', score: 0.08985692262649536 },\n * // ]\n * ```\n */\nexport class AudioClassificationPipeline extends (/** @type {new (options: AudioPipelineConstructorArgs) => AudioClassificationPipelineType} */ (Pipeline)) {\n\n    /**\n     * Create a new AudioClassificationPipeline.\n     * @param {AudioPipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n\n    /** @type {AudioClassificationPipelineCallback} */\n    async _call(audio, {\n        topk = null\n    } = {}) {\n\n        const single = !Array.isArray(audio);\n\n        const sampling_rate = this.processor.feature_extractor.config.sampling_rate;\n        const preparedAudios = await prepareAudios(audio, sampling_rate);\n\n        const id2label = this.model.config.id2label;\n\n        const toReturn = [];\n        for (const aud of preparedAudios) {\n            const inputs = await this.processor(aud);\n            const output = await this.model(inputs);\n            const logits = output.logits[0];\n\n            const scores = getTopItems(softmax(logits.data), topk);\n\n            const vals = scores.map(x => ({\n                label: /** @type {string} */ (id2label[x[0]]),\n                score: /** @type {number} */ (x[1]),\n            }));\n\n            if (topk === 1) {\n                toReturn.push(...vals);\n            } else {\n                toReturn.push(vals);\n            }\n        }\n        return !single || topk === 1 ? /** @type {AudioClassificationOutput} */ (toReturn) : /** @type {AudioClassificationOutput[]} */ (toReturn)[0];\n    }\n}\n\n/**\n * @typedef {Object} ZeroShotAudioClassificationOutput\n * @property {string} label The label identified by the model. It is one of the suggested `candidate_label`.\n * @property {number} score The score attributed by the model for that label (between 0 and 1).\n * \n * @typedef {Object} ZeroShotAudioClassificationPipelineOptions Parameters specific to zero-shot audio classification pipelines.\n * @property {string} [hypothesis_template=\"This is a sound of {}.\"] The sentence used in conjunction with `candidate_labels`\n * to attempt the audio classification by replacing the placeholder with the candidate_labels.\n * Then likelihood is estimated by using `logits_per_audio`.\n * \n * @callback ZeroShotAudioClassificationPipelineCallback Classify the sequence(s) given as inputs.\n * @param {AudioPipelineInputs} audio The input audio file(s) to be classified. The input is either:\n * - `string` or `URL` that is the filename/URL of the audio file, the file will be read at the processor's sampling rate\n * to get the waveform using the [`AudioContext`](https://developer.mozilla.org/en-US/docs/Web/API/AudioContext) API.\n * If `AudioContext` is not available, you should pass the raw waveform in as a Float32Array of shape `(n, )`.\n * - `Float32Array` or `Float64Array` of shape `(n, )`, representing the raw audio at the correct sampling rate (no further check will be done).\n * @param {string[]} candidate_labels The candidate labels for this audio.\n * @param {ZeroShotAudioClassificationPipelineOptions} [options] The options to use for zero-shot audio classification.\n * @returns {Promise<ZeroShotAudioClassificationOutput[]|ZeroShotAudioClassificationOutput[][]>} An array of objects containing the predicted labels and scores.\n * \n * @typedef {TextAudioPipelineConstructorArgs & ZeroShotAudioClassificationPipelineCallback & Disposable} ZeroShotAudioClassificationPipelineType\n */\n\n/**\n * Zero shot audio classification pipeline using `ClapModel`. This pipeline predicts the class of an audio when you\n * provide an audio and a set of `candidate_labels`.\n * \n * **Example**: Perform zero-shot audio classification with `Xenova/clap-htsat-unfused`.\n * ```javascript\n * const classifier = await pipeline('zero-shot-audio-classification', 'Xenova/clap-htsat-unfused');\n * const audio = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/dog_barking.wav';\n * const candidate_labels = ['dog', 'vaccum cleaner'];\n * const scores = await classifier(audio, candidate_labels);\n * // [\n * //   { score: 0.9993992447853088, label: 'dog' },\n * //   { score: 0.0006007603369653225, label: 'vaccum cleaner' }\n * // ]\n * ```\n */\nexport class ZeroShotAudioClassificationPipeline extends (/** @type {new (options: TextAudioPipelineConstructorArgs) => ZeroShotAudioClassificationPipelineType} */ (Pipeline)) {\n\n    /**\n     * Create a new ZeroShotAudioClassificationPipeline.\n     * @param {TextAudioPipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n\n    /** @type {ZeroShotAudioClassificationPipelineCallback} */\n    async _call(audio, candidate_labels, {\n        hypothesis_template = \"This is a sound of {}.\"\n    } = {}) {\n\n        const single = !Array.isArray(audio);\n        if (single) {\n            audio = [/** @type {AudioInput} */ (audio)];\n        }\n\n        // Insert label into hypothesis template \n        const texts = candidate_labels.map(\n            x => hypothesis_template.replace('{}', x)\n        );\n\n        // Run tokenization\n        const text_inputs = this.tokenizer(texts, {\n            padding: true,\n            truncation: true,\n        });\n\n        const sampling_rate = this.processor.feature_extractor.config.sampling_rate;\n        const preparedAudios = await prepareAudios(audio, sampling_rate);\n\n        const toReturn = [];\n        for (const aud of preparedAudios) {\n            const audio_inputs = await this.processor(aud);\n\n            // Run model with both text and audio inputs\n            const output = await this.model({ ...text_inputs, ...audio_inputs });\n\n            // Compute softmax per audio\n            const probs = softmax(output.logits_per_audio.data);\n\n            toReturn.push([...probs].map((x, i) => ({\n                score: x,\n                label: candidate_labels[i]\n            })));\n        }\n        return single ? toReturn[0] : toReturn;\n    }\n}\n\n/**\n * @typedef {{stride: number[], input_features: Tensor, is_last: boolean, tokens?: number[], token_timestamps?: number[]}} ChunkCallbackItem\n * @callback ChunkCallback\n * @param {ChunkCallbackItem} chunk The chunk to process.\n */\n\n/**\n * @typedef {Object} Chunk\n * @property {[number, number]} timestamp The start and end timestamp of the chunk in seconds.\n * @property {string} text The recognized text.\n */\n\n/**\n * @typedef {Object} AutomaticSpeechRecognitionOutput\n * @property {string} text The recognized text.\n * @property {Chunk[]} [chunks] When using `return_timestamps`, the `chunks` will become a list\n * containing all the various text chunks identified by the model.\n * \n * @typedef {Object} AutomaticSpeechRecognitionSpecificParams Parameters specific to automatic-speech-recognition pipelines.\n * @property {boolean|'word'} [kwargs.return_timestamps] Whether to return timestamps or not. Default is `false`.\n * @property {number} [kwargs.chunk_length_s] The length of audio chunks to process in seconds. Default is 0 (no chunking).\n * @property {number} [kwargs.stride_length_s] The length of overlap between consecutive audio chunks in seconds. If not provided, defaults to `chunk_length_s / 6`.\n * @property {ChunkCallback} [kwargs.chunk_callback] Callback function to be called with each chunk processed.\n * @property {boolean} [kwargs.force_full_sequences] Whether to force outputting full sequences or not. Default is `false`.\n * @property {string} [kwargs.language] The source language. Default is `null`, meaning it should be auto-detected. Use this to potentially improve performance if the source language is known.\n * @property {string} [kwargs.task] The task to perform. Default is `null`, meaning it should be auto-detected.\n * @property {number[][]} [kwargs.forced_decoder_ids] A list of pairs of integers which indicates a mapping from generation indices to token indices\n * that will be forced before sampling. For example, [[1, 123]] means the second generated token will always be a token of index 123.\n * @property {number} [num_frames] The number of frames in the input audio.\n * @typedef {import('./utils/generation.js').GenerationConfigType & AutomaticSpeechRecognitionSpecificParams} AutomaticSpeechRecognitionConfig\n * \n * @callback AutomaticSpeechRecognitionPipelineCallback Transcribe the audio sequence(s) given as inputs to text.\n * @param {AudioPipelineInputs} audio The input audio file(s) to be transcribed. The input is either:\n * - `string` or `URL` that is the filename/URL of the audio file, the file will be read at the processor's sampling rate\n * to get the waveform using the [`AudioContext`](https://developer.mozilla.org/en-US/docs/Web/API/AudioContext) API.\n * If `AudioContext` is not available, you should pass the raw waveform in as a Float32Array of shape `(n, )`.\n * - `Float32Array` or `Float64Array` of shape `(n, )`, representing the raw audio at the correct sampling rate (no further check will be done).\n * @param {AutomaticSpeechRecognitionConfig} [options] Additional keyword arguments to pass along to the generate method of the model.\n * @returns {Promise<AutomaticSpeechRecognitionOutput|AutomaticSpeechRecognitionOutput[]>} An object containing the transcription text and optionally timestamps if `return_timestamps` is `true`.\n * \n * @typedef {TextAudioPipelineConstructorArgs & AutomaticSpeechRecognitionPipelineCallback & Disposable} AutomaticSpeechRecognitionPipelineType\n */\n\n/**\n * Pipeline that aims at extracting spoken text contained within some audio.\n *\n * **Example:** Transcribe English.\n * ```javascript\n * const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';\n * const output = await transcriber(url);\n * // { text: \" And so my fellow Americans ask not what your country can do for you, ask what you can do for your country.\" }\n * ```\n * \n * **Example:** Transcribe English w/ timestamps.\n * ```javascript\n * const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';\n * const output = await transcriber(url, { return_timestamps: true });\n * // {\n * //   text: \" And so my fellow Americans ask not what your country can do for you, ask what you can do for your country.\"\n * //   chunks: [\n * //     { timestamp: [0, 8],  text: \" And so my fellow Americans ask not what your country can do for you\" }\n * //     { timestamp: [8, 11], text: \" ask what you can do for your country.\" }\n * //   ]\n * // }\n * ```\n * \n * **Example:** Transcribe English w/ word-level timestamps.\n * ```javascript\n * const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';\n * const output = await transcriber(url, { return_timestamps: 'word' });\n * // {\n * //   \"text\": \" And so my fellow Americans ask not what your country can do for you ask what you can do for your country.\",\n * //   \"chunks\": [\n * //     { \"text\": \" And\", \"timestamp\": [0, 0.78] },\n * //     { \"text\": \" so\", \"timestamp\": [0.78, 1.06] },\n * //     { \"text\": \" my\", \"timestamp\": [1.06, 1.46] },\n * //     ...\n * //     { \"text\": \" for\", \"timestamp\": [9.72, 9.92] },\n * //     { \"text\": \" your\", \"timestamp\": [9.92, 10.22] },\n * //     { \"text\": \" country.\", \"timestamp\": [10.22, 13.5] }\n * //   ]\n * // }\n * ```\n * \n * **Example:** Transcribe French.\n * ```javascript\n * const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-small');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/french-audio.mp3';\n * const output = await transcriber(url, { language: 'french', task: 'transcribe' });\n * // { text: \" J'adore, j'aime, je n'aime pas, je déteste.\" }\n * ```\n * \n * **Example:** Translate French to English.\n * ```javascript\n * const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-small');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/french-audio.mp3';\n * const output = await transcriber(url, { language: 'french', task: 'translate' });\n * // { text: \" I love, I like, I don't like, I hate.\" }\n * ```\n * \n * **Example:** Transcribe/translate audio longer than 30 seconds.\n * ```javascript\n * const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/ted_60.wav';\n * const output = await transcriber(url, { chunk_length_s: 30, stride_length_s: 5 });\n * // { text: \" So in college, I was a government major, which means [...] So I'd start off light and I'd bump it up\" }\n * ```\n */\nexport class AutomaticSpeechRecognitionPipeline extends (/** @type {new (options: TextAudioPipelineConstructorArgs) => AutomaticSpeechRecognitionPipelineType} */ (Pipeline)) {\n\n    /**\n     * Create a new AutomaticSpeechRecognitionPipeline.\n     * @param {TextAudioPipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n\n    /** @type {AutomaticSpeechRecognitionPipelineCallback} */\n    async _call(audio, kwargs = {}) {\n        switch (this.model.config.model_type) {\n            case 'whisper':\n                return this._call_whisper(audio, kwargs)\n            case 'wav2vec2':\n            case 'wav2vec2-bert':\n            case 'unispeech':\n            case 'unispeech-sat':\n            case 'hubert':\n                return this._call_wav2vec2(audio, kwargs)\n            default:\n                throw new Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)\n        }\n    }\n\n    /**\n     * @type {AutomaticSpeechRecognitionPipelineCallback}\n     * @private\n     */\n    async _call_wav2vec2(audio, kwargs = {}) {\n        // TODO use kwargs\n\n        if (kwargs.language) {\n            console.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to \"English\".');\n        }\n        if (kwargs.task) {\n            console.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to \"transcribe\".');\n        }\n\n        const single = !Array.isArray(audio);\n        if (single) {\n            audio = [/** @type {AudioInput} */ (audio)];\n        }\n\n        const sampling_rate = this.processor.feature_extractor.config.sampling_rate;\n        const preparedAudios = await prepareAudios(audio, sampling_rate);\n\n        const toReturn = [];\n        for (const aud of preparedAudios) {\n            const inputs = await this.processor(aud);\n            const output = await this.model(inputs);\n            const logits = output.logits[0];\n\n            const predicted_ids = [];\n            for (const item of logits) {\n                predicted_ids.push(max(item.data)[1])\n            }\n            const predicted_sentences = this.tokenizer.decode(predicted_ids)\n            toReturn.push({ text: predicted_sentences })\n        }\n        return single ? toReturn[0] : toReturn;\n    }\n\n    /**\n     * @type {AutomaticSpeechRecognitionPipelineCallback}\n     * @private\n     */\n    async _call_whisper(audio, kwargs = {}) {\n\n        const return_timestamps = kwargs.return_timestamps ?? false;\n        const chunk_length_s = kwargs.chunk_length_s ?? 0;\n        const chunk_callback = kwargs.chunk_callback ?? null;\n        const force_full_sequences = kwargs.force_full_sequences ?? false;\n        let stride_length_s = kwargs.stride_length_s ?? null;\n\n        if (return_timestamps === 'word') {\n            kwargs['return_token_timestamps'] = true;\n        }\n\n        const language = pop(kwargs, 'language', null);\n        const task = pop(kwargs, 'task', null);\n\n        if (language || task || return_timestamps) {\n            if (kwargs.forced_decoder_ids) {\n                throw new Error(\"Cannot specify `language`/`task`/`return_timestamps` and `forced_decoder_ids` at the same time.\")\n            }\n            // @ts-ignore\n            const decoder_prompt_ids = this.tokenizer.get_decoder_prompt_ids({ language, task, no_timestamps: !return_timestamps })\n            if (decoder_prompt_ids.length > 0) {\n                kwargs.forced_decoder_ids = decoder_prompt_ids;\n            }\n        }\n\n        const single = !Array.isArray(audio);\n        if (single) {\n            audio = [/** @type {AudioInput} */ (audio)];\n        }\n\n        const time_precision = this.processor.feature_extractor.config.chunk_length / this.model.config.max_source_positions;\n        const hop_length = this.processor.feature_extractor.config.hop_length;\n\n        const sampling_rate = this.processor.feature_extractor.config.sampling_rate;\n        const preparedAudios = await prepareAudios(audio, sampling_rate);\n\n        const toReturn = [];\n        for (const aud of preparedAudios) {\n            /** @type {ChunkCallbackItem[]} */\n            let chunks = [];\n            if (chunk_length_s > 0) {\n                if (stride_length_s === null) {\n                    stride_length_s = chunk_length_s / 6;\n                } else if (chunk_length_s <= stride_length_s) {\n                    throw Error(\"`chunk_length_s` must be larger than `stride_length_s`.\")\n                }\n\n                // TODO support different stride_length_s (for left and right)\n\n                const window = sampling_rate * chunk_length_s;\n                const stride = sampling_rate * stride_length_s;\n                const jump = window - 2 * stride;\n                let offset = 0;\n\n                // Create subarrays of audio with overlaps\n\n                while (offset < aud.length) {\n                    const subarr = aud.subarray(offset, offset + window);\n                    const feature = await this.processor(subarr);\n\n                    const isFirst = offset === 0;\n                    const isLast = offset + jump >= aud.length;\n                    chunks.push({\n                        stride: [\n                            subarr.length,\n                            isFirst ? 0 : stride,\n                            isLast ? 0 : stride\n                        ],\n                        input_features: feature.input_features,\n                        is_last: isLast\n                    })\n                    offset += jump;\n                }\n\n            } else {\n                chunks = [{\n                    stride: [aud.length, 0, 0],\n                    input_features: (await this.processor(aud)).input_features,\n                    is_last: true\n                }]\n            }\n\n            // Generate for each set of input features\n            for (const chunk of chunks) {\n                kwargs.num_frames = Math.floor(chunk.stride[0] / hop_length);\n\n                // NOTE: doing sequentially for now\n                const data = await this.model.generate(chunk.input_features, kwargs);\n\n                // TODO: Right now we only get top beam\n                if (return_timestamps === 'word') {\n                    chunk.tokens = data.sequences[0];\n                    chunk.token_timestamps = data.token_timestamps.tolist()[0].map(\n                        (/** @type {number} */ x) => round(x, 2)\n                    );\n\n                } else {\n                    chunk.tokens = data[0];\n                }\n\n                // convert stride to seconds\n                chunk.stride = chunk.stride.map(x => x / sampling_rate);\n\n                if (chunk_callback !== null) {\n                    chunk_callback(chunk)\n                }\n            }\n\n            // Merge text chunks\n            // @ts-ignore\n            const [full_text, optional] = this.tokenizer._decode_asr(chunks, {\n                time_precision, return_timestamps, force_full_sequences\n            });\n\n            toReturn.push({ text: full_text, ...optional })\n        }\n        return single ? toReturn[0] : toReturn;\n    }\n}\n\n/**\n * @typedef {Object} ImageToTextSingle\n * @property {string} generated_text The generated text.\n * @typedef {ImageToTextSingle[]} ImageToTextOutput\n * \n * @callback ImageToTextPipelineCallback Assign labels to the image(s) passed as inputs.\n * @param {ImagePipelineInputs} texts The images to be captioned.\n * @param {import('./utils/generation.js').GenerationConfigType} [options] Additional keyword arguments to pass along to the generate method of the model.\n * @returns {Promise<ImageToTextOutput|ImageToTextOutput[]>} An object (or array of objects) containing the generated text(s).\n * \n * @typedef {TextImagePipelineConstructorArgs & ImageToTextPipelineCallback & Disposable} ImageToTextPipelineType\n */\n\n/**\n * Image To Text pipeline using a `AutoModelForVision2Seq`. This pipeline predicts a caption for a given image.\n * \n * **Example:** Generate a caption for an image w/ `Xenova/vit-gpt2-image-captioning`.\n * ```javascript\n * const captioner = await pipeline('image-to-text', 'Xenova/vit-gpt2-image-captioning');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';\n * const output = await captioner(url);\n * // [{ generated_text: 'a cat laying on a couch with another cat' }]\n * ```\n * \n * **Example:** Optical Character Recognition (OCR) w/ `Xenova/trocr-small-handwritten`.\n * ```javascript\n * const captioner = await pipeline('image-to-text', 'Xenova/trocr-small-handwritten');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/handwriting.jpg';\n * const output = await captioner(url);\n * // [{ generated_text: 'Mr. Brown commented icily.' }]\n * ```\n */\nexport class ImageToTextPipeline extends (/** @type {new (options: TextImagePipelineConstructorArgs) => ImageToTextPipelineType} */ (Pipeline)) {\n\n    /**\n     * Create a new ImageToTextPipeline.\n     * @param {TextImagePipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n\n    /** @type {ImageToTextPipelineCallback} */\n    async _call(images, generate_kwargs = {}) {\n\n        const isBatched = Array.isArray(images);\n        const preparedImages = await prepareImages(images);\n\n        const { pixel_values } = await this.processor(preparedImages);\n\n        const toReturn = [];\n        for (const batch of pixel_values) {\n            batch.dims = [1, ...batch.dims]\n            const output = await this.model.generate(batch, generate_kwargs);\n            const decoded = this.tokenizer.batch_decode(output, {\n                skip_special_tokens: true,\n            }).map(x => ({ generated_text: x.trim() }))\n            toReturn.push(decoded);\n        }\n\n        return isBatched ? toReturn : toReturn[0];\n    }\n}\n\n/**\n * @typedef {Object} ImageClassificationSingle\n * @property {string} label The label identified by the model.\n * @property {number} score The score attributed by the model for that label.\n * @typedef {ImageClassificationSingle[]} ImageClassificationOutput\n * \n * @typedef {Object} ImageClassificationPipelineOptions Parameters specific to image classification pipelines.\n * @property {number} [topk=1] The number of top labels that will be returned by the pipeline. \n * \n * @callback ImageClassificationPipelineCallback Assign labels to the image(s) passed as inputs.\n * @param {ImagePipelineInputs} images The input images(s) to be classified.\n * @param {ImageClassificationPipelineOptions} [options] The options to use for image classification.\n * @returns {Promise<ImageClassificationOutput|ImageClassificationOutput[]>} An array or object containing the predicted labels and scores.\n * \n * @typedef {ImagePipelineConstructorArgs & ImageClassificationPipelineCallback & Disposable} ImageClassificationPipelineType\n */\n\n/**\n * Image classification pipeline using any `AutoModelForImageClassification`.\n * This pipeline predicts the class of an image.\n * \n * **Example:** Classify an image.\n * ```javascript\n * const classifier = await pipeline('image-classification', 'Xenova/vit-base-patch16-224');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/tiger.jpg';\n * const output = await classifier(url);\n * // [\n * //   { label: 'tiger, Panthera tigris', score: 0.632695734500885 },\n * // ]\n * ```\n * \n * **Example:** Classify an image and return top `n` classes.\n * ```javascript\n * const classifier = await pipeline('image-classification', 'Xenova/vit-base-patch16-224');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/tiger.jpg';\n * const output = await classifier(url, { topk: 3 });\n * // [\n * //   { label: 'tiger, Panthera tigris', score: 0.632695734500885 },\n * //   { label: 'tiger cat', score: 0.3634825646877289 },\n * //   { label: 'lion, king of beasts, Panthera leo', score: 0.00045060308184474707 },\n * // ]\n * ```\n * \n * **Example:** Classify an image and return all classes.\n * ```javascript\n * const classifier = await pipeline('image-classification', 'Xenova/vit-base-patch16-224');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/tiger.jpg';\n * const output = await classifier(url, { topk: 0 });\n * // [\n * //   { label: 'tiger, Panthera tigris', score: 0.632695734500885 },\n * //   { label: 'tiger cat', score: 0.3634825646877289 },\n * //   { label: 'lion, king of beasts, Panthera leo', score: 0.00045060308184474707 },\n * //   { label: 'jaguar, panther, Panthera onca, Felis onca', score: 0.00035465499968267977 },\n * //   ...\n * // ]\n * ```\n */\nexport class ImageClassificationPipeline extends (/** @type {new (options: ImagePipelineConstructorArgs) => ImageClassificationPipelineType} */ (Pipeline)) {\n\n    /**\n     * Create a new ImageClassificationPipeline.\n     * @param {ImagePipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n\n    /** @type {ImageClassificationPipelineCallback} */\n    async _call(images, {\n        topk = 1\n    } = {}) {\n\n        const isBatched = Array.isArray(images);\n        const preparedImages = await prepareImages(images);\n\n        const { pixel_values } = await this.processor(preparedImages);\n        const output = await this.model({ pixel_values });\n\n        const id2label = this.model.config.id2label;\n        const toReturn = [];\n        for (const batch of output.logits) {\n            const scores = getTopItems(softmax(batch.data), topk);\n\n            const vals = scores.map(x => ({\n                label: id2label[x[0]],\n                score: x[1],\n            }));\n            if (topk === 1) {\n                toReturn.push(...vals);\n            } else {\n                toReturn.push(vals);\n            }\n        }\n\n        return isBatched || topk === 1 ? /** @type {ImageClassificationOutput} */ (toReturn) : /** @type {ImageClassificationOutput[]} */ (toReturn)[0];\n    }\n\n}\n\n/**\n * @typedef {Object} ImageSegmentationPipelineOutput\n * @property {string} label The label of the segment.\n * @property {number|null} score The score of the segment.\n * @property {RawImage} mask The mask of the segment.\n * \n * @typedef {Object} ImageSegmentationPipelineOptions Parameters specific to image segmentation pipelines.\n * @property {number} [threshold=0.5] Probability threshold to filter out predicted masks.\n * @property {number} [mask_threshold=0.5] Threshold to use when turning the predicted masks into binary values.\n * @property {number} [overlap_mask_area_threshold=0.8] Mask overlap threshold to eliminate small, disconnected segments.\n * @property {null|string} [subtask=null] Segmentation task to be performed. One of [`panoptic`, `instance`, and `semantic`],\n * depending on model capabilities. If not set, the pipeline will attempt to resolve (in that order).\n * @property {number[]} [label_ids_to_fuse=null] List of label ids to fuse. If not set, do not fuse any labels.\n * @property {number[][]} [target_sizes=null] List of target sizes for the input images. If not set, use the original image sizes.\n * \n * @callback ImageSegmentationPipelineCallback Segment the input images.\n * @param {ImagePipelineInputs} images The input images.\n * @param {ImageSegmentationPipelineOptions} [options] The options to use for image segmentation.\n * @returns {Promise<ImageSegmentationPipelineOutput[]>} The annotated segments.\n * \n * @typedef {ImagePipelineConstructorArgs & ImageSegmentationPipelineCallback & Disposable} ImageSegmentationPipelineType\n */\n\n/**\n * Image segmentation pipeline using any `AutoModelForXXXSegmentation`.\n * This pipeline predicts masks of objects and their classes.\n * \n * **Example:** Perform image segmentation with `Xenova/detr-resnet-50-panoptic`.\n * ```javascript\n * const segmenter = await pipeline('image-segmentation', 'Xenova/detr-resnet-50-panoptic');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';\n * const output = await segmenter(url);\n * // [\n * //   { label: 'remote', score: 0.9984649419784546, mask: RawImage { ... } },\n * //   { label: 'cat', score: 0.9994316101074219, mask: RawImage { ... } }\n * // ]\n * ```\n */\nexport class ImageSegmentationPipeline extends (/** @type {new (options: ImagePipelineConstructorArgs) => ImageSegmentationPipelineType} */ (Pipeline)) {\n    /**\n     * Create a new ImageSegmentationPipeline.\n     * @param {ImagePipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n\n        this.subtasks_mapping = {\n            // Mapping of subtasks to their corresponding post-processing function names.\n            panoptic: 'post_process_panoptic_segmentation',\n            instance: 'post_process_instance_segmentation',\n            semantic: 'post_process_semantic_segmentation'\n        }\n    }\n\n    /** @type {ImageSegmentationPipelineCallback} */\n    async _call(images, {\n        threshold = 0.5,\n        mask_threshold = 0.5,\n        overlap_mask_area_threshold = 0.8,\n        label_ids_to_fuse = null,\n        target_sizes = null,\n        subtask = null,\n    } = {}) {\n        const isBatched = Array.isArray(images);\n\n        if (isBatched && images.length !== 1) {\n            throw Error(\"Image segmentation pipeline currently only supports a batch size of 1.\");\n        }\n\n        const preparedImages = await prepareImages(images);\n        const imageSizes = preparedImages.map(x => [x.height, x.width]);\n\n        const { pixel_values, pixel_mask } = await this.processor(preparedImages);\n        const output = await this.model({ pixel_values, pixel_mask });\n\n        let fn = null;\n        if (subtask !== null) {\n            fn = this.subtasks_mapping[subtask];\n        } else {\n            for (let [task, func] of Object.entries(this.subtasks_mapping)) {\n                if (func in this.processor.feature_extractor) {\n                    fn = this.processor.feature_extractor[func].bind(this.processor.feature_extractor);\n                    subtask = task;\n                    break;\n                }\n            }\n        }\n\n        const id2label = this.model.config.id2label;\n\n        /** @type {ImageSegmentationPipelineOutput[]} */\n        const annotation = [];\n        if (subtask === 'panoptic' || subtask === 'instance') {\n            const processed = fn(\n                output,\n                threshold,\n                mask_threshold,\n                overlap_mask_area_threshold,\n                label_ids_to_fuse,\n                target_sizes ?? imageSizes, // TODO FIX?\n            )[0];\n\n            const segmentation = processed.segmentation;\n\n            for (const segment of processed.segments_info) {\n                const maskData = new Uint8ClampedArray(segmentation.data.length);\n                for (let i = 0; i < segmentation.data.length; ++i) {\n                    if (segmentation.data[i] === segment.id) {\n                        maskData[i] = 255;\n                    }\n                }\n\n                const mask = new RawImage(maskData, segmentation.dims[1], segmentation.dims[0], 1)\n\n                annotation.push({\n                    score: segment.score,\n                    label: id2label[segment.label_id],\n                    mask: mask\n                })\n            }\n\n        } else if (subtask === 'semantic') {\n            const { segmentation, labels } = fn(output, target_sizes ?? imageSizes)[0];\n\n            for (const label of labels) {\n                const maskData = new Uint8ClampedArray(segmentation.data.length);\n                for (let i = 0; i < segmentation.data.length; ++i) {\n                    if (segmentation.data[i] === label) {\n                        maskData[i] = 255;\n                    }\n                }\n\n                const mask = new RawImage(maskData, segmentation.dims[1], segmentation.dims[0], 1);\n\n                annotation.push({\n                    score: null,\n                    label: id2label[label],\n                    mask: mask\n                });\n            }\n        } else {\n            throw Error(`Subtask ${subtask} not supported.`);\n        }\n\n        return annotation;\n    }\n}\n\n/**\n * @typedef {Object} ZeroShotImageClassificationOutput\n * @property {string} label The label identified by the model. It is one of the suggested `candidate_label`.\n * @property {number} score The score attributed by the model for that label (between 0 and 1).\n * \n * @typedef {Object} ZeroShotImageClassificationPipelineOptions Parameters specific to zero-shot image classification pipelines.\n * @property {string} [hypothesis_template=\"This is a photo of {}\"] The sentence used in conjunction with `candidate_labels`\n * to attempt the image classification by replacing the placeholder with the candidate_labels.\n * Then likelihood is estimated by using `logits_per_image`.\n * \n * @callback ZeroShotImageClassificationPipelineCallback Assign labels to the image(s) passed as inputs.\n * @param {ImagePipelineInputs} images The input images.\n * @param {string[]} candidate_labels The candidate labels for this image.\n * @param {ZeroShotImageClassificationPipelineOptions} [options] The options to use for zero-shot image classification.\n * @returns {Promise<ZeroShotImageClassificationOutput[]|ZeroShotImageClassificationOutput[][]>} An array of objects containing the predicted labels and scores.\n * \n * @typedef {TextImagePipelineConstructorArgs & ZeroShotImageClassificationPipelineCallback & Disposable} ZeroShotImageClassificationPipelineType\n */\n\n/**\n * Zero shot image classification pipeline. This pipeline predicts the class of\n * an image when you provide an image and a set of `candidate_labels`.\n * \n * **Example:** Zero shot image classification w/ `Xenova/clip-vit-base-patch32`.\n * ```javascript\n * const classifier = await pipeline('zero-shot-image-classification', 'Xenova/clip-vit-base-patch32');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/tiger.jpg';\n * const output = await classifier(url, ['tiger', 'horse', 'dog']);\n * // [\n * //   { score: 0.9993917942047119, label: 'tiger' },\n * //   { score: 0.0003519294841680676, label: 'horse' },\n * //   { score: 0.0002562698791734874, label: 'dog' }\n * // ]\n * ```\n */\nexport class ZeroShotImageClassificationPipeline extends (/** @type {new (options: TextImagePipelineConstructorArgs) => ZeroShotImageClassificationPipelineType} */ (Pipeline)) {\n    /**\n     * Create a new ZeroShotImageClassificationPipeline.\n     * @param {TextImagePipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n\n    /** @type {ZeroShotImageClassificationPipelineCallback} */\n    async _call(images, candidate_labels, {\n        hypothesis_template = \"This is a photo of {}\"\n    } = {}) {\n\n        const isBatched = Array.isArray(images);\n        const preparedImages = await prepareImages(images);\n\n        // Insert label into hypothesis template \n        const texts = candidate_labels.map(\n            x => hypothesis_template.replace('{}', x)\n        );\n\n        // Run tokenization\n        const text_inputs = this.tokenizer(texts, {\n            padding: this.model.config.model_type === 'siglip' ? 'max_length' : true,\n            truncation: true,\n        });\n\n        // Run processor\n        const { pixel_values } = await this.processor(preparedImages);\n\n        // Run model with both text and pixel inputs\n        const output = await this.model({ ...text_inputs, pixel_values });\n\n        const function_to_apply =\n            this.model.config.model_type === 'siglip'\n                ? batch => batch.sigmoid().data\n                : batch => softmax(batch.data);\n\n        // Compare each image with each candidate label\n        const toReturn = [];\n        for (const batch of output.logits_per_image) {\n            // Compute softmax per image\n            const probs = function_to_apply(batch);\n\n            const result = [...probs].map((x, i) => ({\n                score: x,\n                label: candidate_labels[i]\n            }));\n            result.sort((a, b) => b.score - a.score); // sort by score in descending order\n            toReturn.push(result);\n        }\n\n        return isBatched ? toReturn : toReturn[0];\n    }\n}\n\n\n/**\n * @typedef {Object} ObjectDetectionPipelineSingle\n * @property {string} label The class label identified by the model.\n * @property {number} score The score attributed by the model for that label.\n * @property {BoundingBox} box The bounding box of detected object in image's original size, or as a percentage if `percentage` is set to true.\n * @typedef {ObjectDetectionPipelineSingle[]} ObjectDetectionPipelineOutput\n * \n * @typedef {Object} ObjectDetectionPipelineOptions Parameters specific to object detection pipelines.\n * @property {number} [threshold=0.9] The threshold used to filter boxes by score.\n * @property {boolean} [percentage=false] Whether to return the boxes coordinates in percentage (true) or in pixels (false).\n * \n * @callback ObjectDetectionPipelineCallback Detect objects (bounding boxes & classes) in the image(s) passed as inputs.\n * @param {ImagePipelineInputs} images The input images.\n * @param {ObjectDetectionPipelineOptions} [options] The options to use for object detection.\n * @returns {Promise<ObjectDetectionPipelineOutput|ObjectDetectionPipelineOutput[]>} A list of objects or a list of list of objects. \n * \n * @typedef {ImagePipelineConstructorArgs & ObjectDetectionPipelineCallback & Disposable} ObjectDetectionPipelineType\n */\n\n/**\n * Object detection pipeline using any `AutoModelForObjectDetection`.\n * This pipeline predicts bounding boxes of objects and their classes.\n * \n * **Example:** Run object-detection with `Xenova/detr-resnet-50`.\n * ```javascript\n * const detector = await pipeline('object-detection', 'Xenova/detr-resnet-50');\n * const img = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';\n * const output = await detector(img, { threshold: 0.9 });\n * // [{\n * //   score: 0.9976370930671692,\n * //   label: \"remote\",\n * //   box: { xmin: 31, ymin: 68, xmax: 190, ymax: 118 }\n * // },\n * // ...\n * // {\n * //   score: 0.9984092116355896,\n * //   label: \"cat\",\n * //   box: { xmin: 331, ymin: 19, xmax: 649, ymax: 371 }\n * // }]\n * ```\n */\nexport class ObjectDetectionPipeline extends (/** @type {new (options: ImagePipelineConstructorArgs) => ObjectDetectionPipelineType} */ (Pipeline)) {\n\n    /**\n     * Create a new ObjectDetectionPipeline.\n     * @param {ImagePipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n\n    /** @type {ObjectDetectionPipelineCallback} */\n    async _call(images, {\n        threshold = 0.9,\n        percentage = false,\n    } = {}) {\n\n        const isBatched = Array.isArray(images);\n\n        if (isBatched && images.length !== 1) {\n            throw Error(\"Object detection pipeline currently only supports a batch size of 1.\");\n        }\n        const preparedImages = await prepareImages(images);\n\n        const imageSizes = percentage ? null : preparedImages.map(x => [x.height, x.width]);\n\n        const { pixel_values, pixel_mask } = await this.processor(preparedImages);\n        const output = await this.model({ pixel_values, pixel_mask });\n\n        // @ts-ignore\n        const processed = this.processor.feature_extractor.post_process_object_detection(output, threshold, imageSizes);\n\n        // Add labels\n        const id2label = this.model.config.id2label;\n\n        // Format output\n        /** @type {ObjectDetectionPipelineOutput[]} */\n        const result = processed.map(batch => (\n            batch.boxes.map((box, i) => ({\n                score: batch.scores[i],\n                label: id2label[batch.classes[i]],\n                box: get_bounding_box(box, !percentage),\n            }))\n        ))\n\n        return isBatched ? result : result[0];\n    }\n}\n\n\n/**\n * @typedef {Object} ZeroShotObjectDetectionOutput\n * @property {string} label Text query corresponding to the found object.\n * @property {number} score Score corresponding to the object (between 0 and 1).\n * @property {BoundingBox} box Bounding box of the detected object in image's original size, or as a percentage if `percentage` is set to true.\n * \n * @typedef {Object} ZeroShotObjectDetectionPipelineOptions Parameters specific to zero-shot object detection pipelines.\n * @property {number} [threshold=0.1] The probability necessary to make a prediction.\n * @property {number} [topk=null] The number of top predictions that will be returned by the pipeline.\n * If the provided number is `null` or higher than the number of predictions available, it will default\n * to the number of predictions.\n * @property {boolean} [percentage=false] Whether to return the boxes coordinates in percentage (true) or in pixels (false).\n * \n * @callback ZeroShotObjectDetectionPipelineCallback Detect objects (bounding boxes & classes) in the image(s) passed as inputs.\n * @param {ImagePipelineInputs} images The input images.\n * @param {string[]} candidate_labels What the model should recognize in the image.\n * @param {ZeroShotObjectDetectionPipelineOptions} [options] The options to use for zero-shot object detection.\n * @returns {Promise<ZeroShotObjectDetectionOutput[]|ZeroShotObjectDetectionOutput[][]>} An array of objects containing the predicted labels, scores, and bounding boxes.\n * \n * @typedef {TextImagePipelineConstructorArgs & ZeroShotObjectDetectionPipelineCallback & Disposable} ZeroShotObjectDetectionPipelineType\n */\n\n/**\n * Zero-shot object detection pipeline. This pipeline predicts bounding boxes of\n * objects when you provide an image and a set of `candidate_labels`.\n * \n * **Example:** Zero-shot object detection w/ `Xenova/owlvit-base-patch32`.\n * ```javascript\n * const detector = await pipeline('zero-shot-object-detection', 'Xenova/owlvit-base-patch32');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/astronaut.png';\n * const candidate_labels = ['human face', 'rocket', 'helmet', 'american flag'];\n * const output = await detector(url, candidate_labels);\n * // [\n * //   {\n * //     score: 0.24392342567443848,\n * //     label: 'human face',\n * //     box: { xmin: 180, ymin: 67, xmax: 274, ymax: 175 }\n * //   },\n * //   {\n * //     score: 0.15129457414150238,\n * //     label: 'american flag',\n * //     box: { xmin: 0, ymin: 4, xmax: 106, ymax: 513 }\n * //   },\n * //   {\n * //     score: 0.13649864494800568,\n * //     label: 'helmet',\n * //     box: { xmin: 277, ymin: 337, xmax: 511, ymax: 511 }\n * //   },\n * //   {\n * //     score: 0.10262022167444229,\n * //     label: 'rocket',\n * //     box: { xmin: 352, ymin: -1, xmax: 463, ymax: 287 }\n * //   }\n * // ]\n * ```\n * \n * **Example:** Zero-shot object detection w/ `Xenova/owlvit-base-patch32` (returning top 4 matches and setting a threshold).\n * ```javascript\n * const detector = await pipeline('zero-shot-object-detection', 'Xenova/owlvit-base-patch32');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/beach.png';\n * const candidate_labels = ['hat', 'book', 'sunglasses', 'camera'];\n * const output = await detector(url, candidate_labels, { topk: 4, threshold: 0.05 });\n * // [\n * //   {\n * //     score: 0.1606510728597641,\n * //     label: 'sunglasses',\n * //     box: { xmin: 347, ymin: 229, xmax: 429, ymax: 264 }\n * //   },\n * //   {\n * //     score: 0.08935828506946564,\n * //     label: 'hat',\n * //     box: { xmin: 38, ymin: 174, xmax: 258, ymax: 364 }\n * //   },\n * //   {\n * //     score: 0.08530698716640472,\n * //     label: 'camera',\n * //     box: { xmin: 187, ymin: 350, xmax: 260, ymax: 411 }\n * //   },\n * //   {\n * //     score: 0.08349756896495819,\n * //     label: 'book',\n * //     box: { xmin: 261, ymin: 280, xmax: 494, ymax: 425 }\n * //   }\n * // ]\n * ```\n */\nexport class ZeroShotObjectDetectionPipeline extends (/** @type {new (options: TextImagePipelineConstructorArgs) => ZeroShotObjectDetectionPipelineType} */ (Pipeline)) {\n\n    /**\n     * Create a new ZeroShotObjectDetectionPipeline.\n     * @param {TextImagePipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n\n    /** @type {ZeroShotObjectDetectionPipelineCallback} */\n    async _call(images, candidate_labels, {\n        threshold = 0.1,\n        topk = null,\n        percentage = false,\n    } = {}) {\n\n        const isBatched = Array.isArray(images);\n        const preparedImages = await prepareImages(images);\n\n        // Run tokenization\n        const text_inputs = this.tokenizer(candidate_labels, {\n            padding: true,\n            truncation: true,\n        });\n\n        // Run processor\n        const model_inputs = await this.processor(preparedImages);\n\n        // Since non-maximum suppression is performed for exporting, we need to\n        // process each image separately. For more information, see:\n        // https://github.com/huggingface/optimum/blob/e3b7efb1257c011db907ef40ab340e795cc5684c/optimum/exporters/onnx/model_configs.py#L1028-L1032\n        const toReturn = [];\n        for (let i = 0; i < preparedImages.length; ++i) {\n            const image = preparedImages[i];\n            const imageSize = percentage ? null : [[image.height, image.width]];\n            const pixel_values = model_inputs.pixel_values[i].unsqueeze_(0);\n\n            // Run model with both text and pixel inputs\n            const output = await this.model({ ...text_inputs, pixel_values });\n\n            // @ts-ignore\n            const processed = this.processor.feature_extractor.post_process_object_detection(output, threshold, imageSize, true)[0];\n            let result = processed.boxes.map((box, i) => ({\n                score: processed.scores[i],\n                label: candidate_labels[processed.classes[i]],\n                box: get_bounding_box(box, !percentage),\n            })).sort((a, b) => b.score - a.score);\n            if (topk !== null) {\n                result = result.slice(0, topk);\n            }\n            toReturn.push(result)\n        }\n\n        return isBatched ? toReturn : toReturn[0];\n    }\n}\n\n/**\n * @typedef {Object} DocumentQuestionAnsweringSingle\n * @property {string} answer The generated text.\n * @typedef {DocumentQuestionAnsweringSingle[]} DocumentQuestionAnsweringOutput\n * \n * @callback DocumentQuestionAnsweringPipelineCallback Answer the question given as input by using the document.\n * @param {ImageInput} image The image of the document to use.\n * @param {string} question A question to ask of the document.\n * @param {import('./utils/generation.js').GenerationConfigType} [options] Additional keyword arguments to pass along to the generate method of the model.\n * @returns {Promise<DocumentQuestionAnsweringOutput|DocumentQuestionAnsweringOutput[]>} An object (or array of objects) containing the answer(s).\n * \n * @typedef {TextImagePipelineConstructorArgs & DocumentQuestionAnsweringPipelineCallback & Disposable} DocumentQuestionAnsweringPipelineType\n */\n\n/**\n * Document Question Answering pipeline using any `AutoModelForDocumentQuestionAnswering`.\n * The inputs/outputs are similar to the (extractive) question answering pipeline; however,\n * the pipeline takes an image (and optional OCR'd words/boxes) as input instead of text context.\n * \n * **Example:** Answer questions about a document with `Xenova/donut-base-finetuned-docvqa`.\n * ```javascript\n * const qa_pipeline = await pipeline('document-question-answering', 'Xenova/donut-base-finetuned-docvqa');\n * const image = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/invoice.png';\n * const question = 'What is the invoice number?';\n * const output = await qa_pipeline(image, question);\n * // [{ answer: 'us-001' }]\n * ```\n */\nexport class DocumentQuestionAnsweringPipeline extends (/** @type {new (options: TextImagePipelineConstructorArgs) => DocumentQuestionAnsweringPipelineType} */ (Pipeline)) {\n\n    /**\n     * Create a new DocumentQuestionAnsweringPipeline.\n     * @param {TextImagePipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n\n    /** @type {DocumentQuestionAnsweringPipelineCallback} */\n    async _call(image, question, generate_kwargs = {}) {\n\n        // NOTE: For now, we only support a batch size of 1\n\n        // Preprocess image\n        const preparedImage = (await prepareImages(image))[0];\n        const { pixel_values } = await this.processor(preparedImage);\n\n        // Run tokenization\n        const task_prompt = `<s_docvqa><s_question>${question}</s_question><s_answer>`;\n        const decoder_input_ids = this.tokenizer(task_prompt, {\n            add_special_tokens: false,\n            padding: true,\n            truncation: true,\n        }).input_ids;\n\n        // Run model\n        const output = await this.model.generate(\n            pixel_values,\n            {\n                ...generate_kwargs,\n                decoder_input_ids,\n                max_length: this.model.config.decoder.max_position_embeddings,\n            }\n        );\n\n        // Decode output\n        const decoded = this.tokenizer.batch_decode(output)[0];\n\n        // Parse answer\n        const match = decoded.match(/<s_answer>(.*?)<\\/s_answer>/);\n        let answer = null;\n        if (match && match.length >= 2) {\n            answer = match[1].trim();\n        }\n        return [{ answer }];\n    }\n}\n\n\n/**\n * @typedef {Object} VocoderOptions\n * @property {PreTrainedModel} [vocoder] The vocoder used by the pipeline (if the model uses one). If not provided, use the default HifiGan vocoder.\n * @typedef {TextAudioPipelineConstructorArgs & VocoderOptions} TextToAudioPipelineConstructorArgs\n */\n\n/**\n * @typedef {Object} TextToAudioOutput\n * @property {Float32Array} audio The generated audio waveform.\n * @property {number} sampling_rate The sampling rate of the generated audio waveform.\n * \n * @typedef {Object} TextToAudioPipelineOptions Parameters specific to text-to-audio pipelines.\n * @property {Tensor|Float32Array|string|URL} [speaker_embeddings=null] The speaker embeddings (if the model requires it).\n * \n * @callback TextToAudioPipelineCallback Generates speech/audio from the inputs.\n * @param {string|string[]} texts The text(s) to generate.\n * @param {TextToAudioPipelineOptions} options Parameters passed to the model generation/forward method.\n * @returns {Promise<TextToAudioOutput>} An object containing the generated audio and sampling rate.\n * \n * @typedef {TextToAudioPipelineConstructorArgs & TextToAudioPipelineCallback & Disposable} TextToAudioPipelineType\n */\n\n/**\n * Text-to-audio generation pipeline using any `AutoModelForTextToWaveform` or `AutoModelForTextToSpectrogram`.\n * This pipeline generates an audio file from an input text and optional other conditional inputs.\n * \n * **Example:** Generate audio from text with `Xenova/speecht5_tts`.\n * ```javascript\n * const synthesizer = await pipeline('text-to-speech', 'Xenova/speecht5_tts', { quantized: false });\n * const speaker_embeddings = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/speaker_embeddings.bin';\n * const out = await synthesizer('Hello, my dog is cute', { speaker_embeddings });\n * // {\n * //   audio: Float32Array(26112) [-0.00005657337896991521, 0.00020583874720614403, ...],\n * //   sampling_rate: 16000\n * // }\n * ```\n * \n * You can then save the audio to a .wav file with the `wavefile` package:\n * ```javascript\n * import wavefile from 'wavefile';\n * import fs from 'fs';\n * \n * const wav = new wavefile.WaveFile();\n * wav.fromScratch(1, out.sampling_rate, '32f', out.audio);\n * fs.writeFileSync('out.wav', wav.toBuffer());\n * ```\n * \n * **Example:** Multilingual speech generation with `Xenova/mms-tts-fra`. See [here](https://huggingface.co/models?pipeline_tag=text-to-speech&other=vits&sort=trending) for the full list of available languages (1107).\n * ```javascript\n * const synthesizer = await pipeline('text-to-speech', 'Xenova/mms-tts-fra');\n * const out = await synthesizer('Bonjour');\n * // {\n * //   audio: Float32Array(23808) [-0.00037693005288019776, 0.0003325853613205254, ...],\n * //   sampling_rate: 16000\n * // }\n * ```\n */\nexport class TextToAudioPipeline extends (/** @type {new (options: TextToAudioPipelineConstructorArgs) => TextToAudioPipelineType} */ (Pipeline)) {\n    DEFAULT_VOCODER_ID = \"Xenova/speecht5_hifigan\"\n\n    /**\n     * Create a new TextToAudioPipeline.\n     * @param {TextToAudioPipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n\n        // TODO: Find a better way for `pipeline` to set the default vocoder\n        this.vocoder = options.vocoder ?? null;\n    }\n\n\n    /** @type {TextToAudioPipelineCallback} */\n    async _call(text_inputs, {\n        speaker_embeddings = null,\n    } = {}) {\n\n        // If this.processor is not set, we are using a `AutoModelForTextToWaveform` model\n        if (this.processor) {\n            return this._call_text_to_spectrogram(text_inputs, { speaker_embeddings });\n        } else {\n            return this._call_text_to_waveform(text_inputs);\n        }\n    }\n\n    async _call_text_to_waveform(text_inputs) {\n\n        // Run tokenization\n        const inputs = this.tokenizer(text_inputs, {\n            padding: true,\n            truncation: true,\n        });\n\n        // Generate waveform\n        const { waveform } = await this.model(inputs);\n\n        const sampling_rate = this.model.config.sampling_rate;\n        return {\n            audio: waveform.data,\n            sampling_rate,\n        }\n    }\n\n    async _call_text_to_spectrogram(text_inputs, { speaker_embeddings }) {\n\n        // Load vocoder, if not provided\n        if (!this.vocoder) {\n            console.log('No vocoder specified, using default HifiGan vocoder.');\n            this.vocoder = await AutoModel.from_pretrained(this.DEFAULT_VOCODER_ID, { quantized: false });\n        }\n\n        // Load speaker embeddings as Float32Array from path/URL\n        if (typeof speaker_embeddings === 'string' || speaker_embeddings instanceof URL) {\n            // Load from URL with fetch\n            speaker_embeddings = new Float32Array(\n                await (await fetch(speaker_embeddings)).arrayBuffer()\n            );\n        }\n\n        if (speaker_embeddings instanceof Float32Array) {\n            speaker_embeddings = new Tensor(\n                'float32',\n                speaker_embeddings,\n                [1, speaker_embeddings.length]\n            )\n        } else if (!(speaker_embeddings instanceof Tensor)) {\n            throw new Error(\"Speaker embeddings must be a `Tensor`, `Float32Array`, `string`, or `URL`.\")\n        }\n\n        // Run tokenization\n        const { input_ids } = this.tokenizer(text_inputs, {\n            padding: true,\n            truncation: true,\n        });\n\n        // NOTE: At this point, we are guaranteed that `speaker_embeddings` is a `Tensor`\n        // @ts-ignore\n        const { waveform } = await this.model.generate_speech(input_ids, speaker_embeddings, { vocoder: this.vocoder });\n\n        const sampling_rate = this.processor.feature_extractor.config.sampling_rate;\n        return {\n            audio: waveform.data,\n            sampling_rate,\n        }\n    }\n}\n\n/**\n * @callback ImageToImagePipelineCallback Transform the image(s) passed as inputs.\n * @param {ImagePipelineInputs} images The images to transform.\n * @returns {Promise<RawImage|RawImage[]>} The transformed image or list of images.\n * \n * @typedef {ImagePipelineConstructorArgs & ImageToImagePipelineCallback & Disposable} ImageToImagePipelineType\n */\n\n/**\n * Image to Image pipeline using any `AutoModelForImageToImage`. This pipeline generates an image based on a previous image input.\n * \n * **Example:** Super-resolution w/ `Xenova/swin2SR-classical-sr-x2-64`\n * ```javascript\n * const upscaler = await pipeline('image-to-image', 'Xenova/swin2SR-classical-sr-x2-64');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/butterfly.jpg';\n * const output = await upscaler(url);\n * // RawImage {\n * //   data: Uint8Array(786432) [ 41, 31, 24,  43, ... ],\n * //   width: 512,\n * //   height: 512,\n * //   channels: 3\n * // }\n * ```\n */\nexport class ImageToImagePipeline extends (/** @type {new (options: ImagePipelineConstructorArgs) => ImageToImagePipelineType} */ (Pipeline)) {\n    /**\n     * Create a new ImageToImagePipeline.\n     * @param {ImagePipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n\n    /** @type {ImageToImagePipelineCallback} */\n    async _call(images) {\n\n        const preparedImages = await prepareImages(images);\n        const inputs = await this.processor(preparedImages);\n        const outputs = await this.model(inputs);\n\n        /** @type {RawImage[]} */\n        const toReturn = [];\n        for (const batch of outputs.reconstruction) {\n            const output = batch.squeeze().clamp_(0, 1).mul_(255).round_().to('uint8');\n            toReturn.push(RawImage.fromTensor(output));\n        }\n\n        return toReturn.length > 1 ? toReturn : toReturn[0];\n    }\n}\n\n/**\n * @typedef {Object} DepthEstimationPipelineOutput\n * @property {Tensor} predicted_depth The raw depth map predicted by the model.\n * @property {RawImage} depth The processed depth map as an image (with the same size as the input image).\n * \n * @callback DepthEstimationPipelineCallback Predicts the depth for the image(s) passed as inputs.\n * @param {ImagePipelineInputs} images The images to compute depth for.\n * @returns {Promise<DepthEstimationPipelineOutput|DepthEstimationPipelineOutput[]>} An image or a list of images containing result(s).\n * \n * @typedef {ImagePipelineConstructorArgs & DepthEstimationPipelineCallback & Disposable} DepthEstimationPipelineType\n */\n\n/**\n * Depth estimation pipeline using any `AutoModelForDepthEstimation`. This pipeline predicts the depth of an image.\n * \n * **Example:** Depth estimation w/ `Xenova/dpt-hybrid-midas`\n * ```javascript\n * const depth_estimator = await pipeline('depth-estimation', 'Xenova/dpt-hybrid-midas');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';\n * const out = await depth_estimator(url);\n * // {\n * //   predicted_depth: Tensor {\n * //     dims: [ 384, 384 ],\n * //     type: 'float32',\n * //     data: Float32Array(147456) [ 542.859130859375, 545.2833862304688, 546.1649169921875, ... ],\n * //     size: 147456\n * //   },\n * //   depth: RawImage {\n * //     data: Uint8Array(307200) [ 86, 86, 86, ... ],\n * //     width: 640,\n * //     height: 480,\n * //     channels: 1\n * //   }\n * // }\n * ```\n */\nexport class DepthEstimationPipeline extends (/** @type {new (options: ImagePipelineConstructorArgs) => DepthEstimationPipelineType} */ (Pipeline)) {\n    /**\n     * Create a new DepthEstimationPipeline.\n     * @param {ImagePipelineConstructorArgs} options An object used to instantiate the pipeline.\n     */\n    constructor(options) {\n        super(options);\n    }\n\n    /** @type {DepthEstimationPipelineCallback} */\n    async _call(images) {\n\n        const preparedImages = await prepareImages(images);\n\n        const inputs = await this.processor(preparedImages);\n        const { predicted_depth } = await this.model(inputs);\n\n        const toReturn = [];\n        for (let i = 0; i < preparedImages.length; ++i) {\n            const prediction = interpolate(predicted_depth[i], preparedImages[i].size.reverse(), 'bilinear', false);\n            const formatted = prediction.mul_(255 / max(prediction.data)[0]).to('uint8');\n            toReturn.push({\n                predicted_depth: predicted_depth[i],\n                depth: RawImage.fromTensor(formatted),\n            });\n        }\n\n        return toReturn.length > 1 ? toReturn : toReturn[0];\n    }\n}\n\nconst SUPPORTED_TASKS = Object.freeze({\n    \"text-classification\": {\n        \"tokenizer\": AutoTokenizer,\n        \"pipeline\": TextClassificationPipeline,\n        \"model\": AutoModelForSequenceClassification,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"distilbert-base-uncased-finetuned-sst-2-english\",\n            \"model\": \"Xenova/distilbert-base-uncased-finetuned-sst-2-english\",\n        },\n        \"type\": \"text\",\n    },\n    \"token-classification\": {\n        \"tokenizer\": AutoTokenizer,\n        \"pipeline\": TokenClassificationPipeline,\n        \"model\": AutoModelForTokenClassification,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"Davlan/bert-base-multilingual-cased-ner-hrl\",\n            \"model\": \"Xenova/bert-base-multilingual-cased-ner-hrl\",\n        },\n        \"type\": \"text\",\n    },\n    \"question-answering\": {\n        \"tokenizer\": AutoTokenizer,\n        \"pipeline\": QuestionAnsweringPipeline,\n        \"model\": AutoModelForQuestionAnswering,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"distilbert-base-cased-distilled-squad\",\n            \"model\": \"Xenova/distilbert-base-cased-distilled-squad\",\n        },\n        \"type\": \"text\",\n    },\n\n    \"fill-mask\": {\n        \"tokenizer\": AutoTokenizer,\n        \"pipeline\": FillMaskPipeline,\n        \"model\": AutoModelForMaskedLM,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"bert-base-uncased\",\n            \"model\": \"Xenova/bert-base-uncased\",\n        },\n        \"type\": \"text\",\n    },\n    \"summarization\": {\n        \"tokenizer\": AutoTokenizer,\n        \"pipeline\": SummarizationPipeline,\n        \"model\": AutoModelForSeq2SeqLM,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"sshleifer/distilbart-cnn-6-6\",\n            \"model\": \"Xenova/distilbart-cnn-6-6\",\n        },\n        \"type\": \"text\",\n    },\n    \"translation\": {\n        \"tokenizer\": AutoTokenizer,\n        \"pipeline\": TranslationPipeline,\n        \"model\": AutoModelForSeq2SeqLM,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"t5-small\",\n            \"model\": \"Xenova/t5-small\",\n        },\n        \"type\": \"text\",\n    },\n    \"text2text-generation\": {\n        \"tokenizer\": AutoTokenizer,\n        \"pipeline\": Text2TextGenerationPipeline,\n        \"model\": AutoModelForSeq2SeqLM,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"google/flan-t5-small\",\n            \"model\": \"Xenova/flan-t5-small\",\n        },\n        \"type\": \"text\",\n    },\n    \"text-generation\": {\n        \"tokenizer\": AutoTokenizer,\n        \"pipeline\": TextGenerationPipeline,\n        \"model\": AutoModelForCausalLM,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"gpt2\",\n            \"model\": \"Xenova/gpt2\",\n        },\n        \"type\": \"text\",\n    },\n    \"zero-shot-classification\": {\n        \"tokenizer\": AutoTokenizer,\n        \"pipeline\": ZeroShotClassificationPipeline,\n        \"model\": AutoModelForSequenceClassification,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"typeform/distilbert-base-uncased-mnli\",\n            \"model\": \"Xenova/distilbert-base-uncased-mnli\",\n        },\n        \"type\": \"text\",\n    },\n    \"audio-classification\": {\n        \"pipeline\": AudioClassificationPipeline,\n        \"model\": AutoModelForAudioClassification,\n        \"processor\": AutoProcessor,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"superb/wav2vec2-base-superb-ks\",\n            \"model\": \"Xenova/wav2vec2-base-superb-ks\",\n        },\n        \"type\": \"audio\",\n    },\n    \"zero-shot-audio-classification\": {\n        \"tokenizer\": AutoTokenizer,\n        \"pipeline\": ZeroShotAudioClassificationPipeline,\n        \"model\": AutoModel,\n        \"processor\": AutoProcessor,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"laion/clap-htsat-fused\",\n            \"model\": \"Xenova/clap-htsat-unfused\",\n        },\n        \"type\": \"multimodal\",\n    },\n    \"automatic-speech-recognition\": {\n        \"tokenizer\": AutoTokenizer,\n        \"pipeline\": AutomaticSpeechRecognitionPipeline,\n        \"model\": [AutoModelForSpeechSeq2Seq, AutoModelForCTC],\n        \"processor\": AutoProcessor,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"openai/whisper-tiny.en\",\n            \"model\": \"Xenova/whisper-tiny.en\",\n        },\n        \"type\": \"multimodal\",\n    },\n    \"text-to-audio\": {\n        \"tokenizer\": AutoTokenizer,\n        \"pipeline\": TextToAudioPipeline,\n        \"model\": [AutoModelForTextToWaveform, AutoModelForTextToSpectrogram],\n        \"processor\": [AutoProcessor, /* Some don't use a processor */ null],\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"microsoft/speecht5_tts\",\n            \"model\": \"Xenova/speecht5_tts\",\n        },\n        \"type\": \"text\",\n    },\n    \"image-to-text\": {\n        \"tokenizer\": AutoTokenizer,\n        \"pipeline\": ImageToTextPipeline,\n        \"model\": AutoModelForVision2Seq,\n        \"processor\": AutoProcessor,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"nlpconnect/vit-gpt2-image-captioning\",\n            \"model\": \"Xenova/vit-gpt2-image-captioning\",\n        },\n        \"type\": \"multimodal\",\n    },\n\n    \"image-classification\": {\n        // no tokenizer\n        \"pipeline\": ImageClassificationPipeline,\n        \"model\": AutoModelForImageClassification,\n        \"processor\": AutoProcessor,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"google/vit-base-patch16-224\",\n            \"model\": \"Xenova/vit-base-patch16-224\",\n        },\n        \"type\": \"multimodal\",\n    },\n\n    \"image-segmentation\": {\n        // no tokenizer\n        \"pipeline\": ImageSegmentationPipeline,\n        \"model\": [AutoModelForImageSegmentation, AutoModelForSemanticSegmentation],\n        \"processor\": AutoProcessor,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"facebook/detr-resnet-50-panoptic\",\n            \"model\": \"Xenova/detr-resnet-50-panoptic\",\n        },\n        \"type\": \"multimodal\",\n    },\n\n    \"zero-shot-image-classification\": {\n        \"tokenizer\": AutoTokenizer,\n        \"pipeline\": ZeroShotImageClassificationPipeline,\n        \"model\": AutoModel,\n        \"processor\": AutoProcessor,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"openai/clip-vit-base-patch32\",\n            \"model\": \"Xenova/clip-vit-base-patch32\",\n        },\n        \"type\": \"multimodal\",\n    },\n\n    \"object-detection\": {\n        // no tokenizer\n        \"pipeline\": ObjectDetectionPipeline,\n        \"model\": AutoModelForObjectDetection,\n        \"processor\": AutoProcessor,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"facebook/detr-resnet-50\",\n            \"model\": \"Xenova/detr-resnet-50\",\n        },\n        \"type\": \"multimodal\",\n    },\n    \"zero-shot-object-detection\": {\n        \"tokenizer\": AutoTokenizer,\n        \"pipeline\": ZeroShotObjectDetectionPipeline,\n        \"model\": AutoModelForZeroShotObjectDetection,\n        \"processor\": AutoProcessor,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"google/owlvit-base-patch32\",\n            \"model\": \"Xenova/owlvit-base-patch32\",\n        },\n        \"type\": \"multimodal\",\n    },\n    \"document-question-answering\": {\n        \"tokenizer\": AutoTokenizer,\n        \"pipeline\": DocumentQuestionAnsweringPipeline,\n        \"model\": AutoModelForDocumentQuestionAnswering,\n        \"processor\": AutoProcessor,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"naver-clova-ix/donut-base-finetuned-docvqa\",\n            \"model\": \"Xenova/donut-base-finetuned-docvqa\",\n        },\n        \"type\": \"multimodal\",\n    },\n    \"image-to-image\": {\n        // no tokenizer\n        \"pipeline\": ImageToImagePipeline,\n        \"model\": AutoModelForImageToImage,\n        \"processor\": AutoProcessor,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"caidas/swin2SR-classical-sr-x2-64\",\n            \"model\": \"Xenova/swin2SR-classical-sr-x2-64\",\n        },\n        \"type\": \"image\",\n    },\n    \"depth-estimation\": {\n        // no tokenizer\n        \"pipeline\": DepthEstimationPipeline,\n        \"model\": AutoModelForDepthEstimation,\n        \"processor\": AutoProcessor,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"Intel/dpt-large\",\n            \"model\": \"Xenova/dpt-large\",\n        },\n        \"type\": \"image\",\n    },\n\n    // This task serves as a useful interface for dealing with sentence-transformers (https://huggingface.co/sentence-transformers).\n    \"feature-extraction\": {\n        \"tokenizer\": AutoTokenizer,\n        \"pipeline\": FeatureExtractionPipeline,\n        \"model\": AutoModel,\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"sentence-transformers/all-MiniLM-L6-v2\",\n            \"model\": \"Xenova/all-MiniLM-L6-v2\",\n        },\n        \"type\": \"text\",\n    },\n    \"image-feature-extraction\": {\n        \"processor\": AutoProcessor,\n        \"pipeline\": ImageFeatureExtractionPipeline,\n        \"model\": [AutoModelForImageFeatureExtraction, AutoModel],\n        \"default\": {\n            // TODO: replace with original\n            // \"model\": \"google/vit-base-patch16-224\",\n            \"model\": \"Xenova/vit-base-patch16-224-in21k\",\n        },\n        \"type\": \"image\",\n    },\n})\n\n\n// TODO: Add types for TASK_ALIASES\nconst TASK_ALIASES = Object.freeze({\n    \"sentiment-analysis\": \"text-classification\",\n    \"ner\": \"token-classification\",\n    // \"vqa\": \"visual-question-answering\", // TODO: Add\n    \"asr\": \"automatic-speech-recognition\",\n    \"text-to-speech\": \"text-to-audio\",\n\n    // Add for backwards compatibility\n    \"embeddings\": \"feature-extraction\",\n});\n\n/**\n * @typedef {keyof typeof SUPPORTED_TASKS} TaskType\n * @typedef {keyof typeof TASK_ALIASES} AliasType\n * @typedef {TaskType | AliasType} PipelineType All possible pipeline types.\n * @typedef {{[K in TaskType]: InstanceType<typeof SUPPORTED_TASKS[K][\"pipeline\"]>}} SupportedTasks A mapping of pipeline names to their corresponding pipeline classes.\n * @typedef {{[K in AliasType]: InstanceType<typeof SUPPORTED_TASKS[TASK_ALIASES[K]][\"pipeline\"]>}} AliasTasks A mapping from pipeline aliases to their corresponding pipeline classes.\n * @typedef {SupportedTasks & AliasTasks} AllTasks A mapping from all pipeline names and aliases to their corresponding pipeline classes.\n */\n\n/**\n * Utility factory method to build a `Pipeline` object.\n * \n * @template {PipelineType} T The type of pipeline to return.\n * @param {T} task The task defining which pipeline will be returned. Currently accepted tasks are:\n *  - `\"audio-classification\"`: will return a `AudioClassificationPipeline`.\n *  - `\"automatic-speech-recognition\"`: will return a `AutomaticSpeechRecognitionPipeline`.\n *  - `\"depth-estimation\"`: will return a `DepthEstimationPipeline`.\n *  - `\"document-question-answering\"`: will return a `DocumentQuestionAnsweringPipeline`.\n *  - `\"feature-extraction\"`: will return a `FeatureExtractionPipeline`.\n *  - `\"fill-mask\"`: will return a `FillMaskPipeline`.\n *  - `\"image-classification\"`: will return a `ImageClassificationPipeline`.\n *  - `\"image-segmentation\"`: will return a `ImageSegmentationPipeline`.\n *  - `\"image-to-text\"`: will return a `ImageToTextPipeline`.\n *  - `\"object-detection\"`: will return a `ObjectDetectionPipeline`.\n *  - `\"question-answering\"`: will return a `QuestionAnsweringPipeline`.\n *  - `\"summarization\"`: will return a `SummarizationPipeline`.\n *  - `\"text2text-generation\"`: will return a `Text2TextGenerationPipeline`.\n *  - `\"text-classification\"` (alias \"sentiment-analysis\" available): will return a `TextClassificationPipeline`.\n *  - `\"text-generation\"`: will return a `TextGenerationPipeline`.\n *  - `\"token-classification\"` (alias \"ner\" available): will return a `TokenClassificationPipeline`.\n *  - `\"translation\"`: will return a `TranslationPipeline`.\n *  - `\"translation_xx_to_yy\"`: will return a `TranslationPipeline`.\n *  - `\"zero-shot-classification\"`: will return a `ZeroShotClassificationPipeline`.\n *  - `\"zero-shot-audio-classification\"`: will return a `ZeroShotAudioClassificationPipeline`.\n *  - `\"zero-shot-image-classification\"`: will return a `ZeroShotImageClassificationPipeline`.\n *  - `\"zero-shot-object-detection\"`: will return a `ZeroShotObjectDetectionPipeline`.\n * @param {string} [model=null] The name of the pre-trained model to use. If not specified, the default model for the task will be used.\n * @param {import('./utils/hub.js').PretrainedOptions} [options] Optional parameters for the pipeline.\n * @returns {Promise<AllTasks[T]>} A Pipeline object for the specified task.\n * @throws {Error} If an unsupported pipeline is requested.\n */\nexport async function pipeline(\n    task,\n    model = null,\n    {\n        quantized = true,\n        progress_callback = null,\n        config = null,\n        cache_dir = null,\n        local_files_only = false,\n        revision = 'main',\n        model_file_name = null,\n    } = {}\n) {\n    // Helper method to construct pipeline\n\n    // Apply aliases\n    // @ts-ignore\n    task = TASK_ALIASES[task] ?? task;\n\n    // Get pipeline info\n    const pipelineInfo = SUPPORTED_TASKS[task.split('_', 1)[0]];\n    if (!pipelineInfo) {\n        throw Error(`Unsupported pipeline: ${task}. Must be one of [${Object.keys(SUPPORTED_TASKS)}]`)\n    }\n\n    // Use model if specified, otherwise, use default\n    if (!model) {\n        model = pipelineInfo.default.model\n        console.log(`No model specified. Using default model: \"${model}\".`);\n    }\n\n    const pretrainedOptions = {\n        quantized,\n        progress_callback,\n        config,\n        cache_dir,\n        local_files_only,\n        revision,\n        model_file_name,\n    }\n\n    const classes = new Map([\n        ['tokenizer', pipelineInfo.tokenizer],\n        ['model', pipelineInfo.model],\n        ['processor', pipelineInfo.processor],\n    ]);\n\n    // Load model, tokenizer, and processor (if they exist)\n    const results = await loadItems(classes, model, pretrainedOptions);\n    results.task = task;\n\n    dispatchCallback(progress_callback, {\n        'status': 'ready',\n        'task': task,\n        'model': model,\n    });\n\n    const pipelineClass = pipelineInfo.pipeline;\n    return new pipelineClass(results);\n}\n\n\n/**\n * Helper function to get applicable model, tokenizer, or processor classes for a given model.\n * @param {Map<string, any>} mapping The mapping of names to classes, arrays of classes, or null.\n * @param {string} model The name of the model to load.\n * @param {import('./utils/hub.js').PretrainedOptions} pretrainedOptions The options to pass to the `from_pretrained` method.\n * @private\n */\nasync function loadItems(mapping, model, pretrainedOptions) {\n\n    const result = Object.create(null);\n\n    /**@type {Promise[]} */\n    const promises = [];\n    for (let [name, cls] of mapping.entries()) {\n        if (!cls) continue;\n\n        /**@type {Promise} */\n        let promise;\n        if (Array.isArray(cls)) {\n            promise = new Promise(async (resolve, reject) => {\n                let e;\n                for (let c of cls) {\n                    if (c === null) {\n                        // If null, we resolve it immediately, meaning the relevant\n                        // class was not found, but it is optional.\n                        resolve(null);\n                        return;\n                    }\n                    try {\n                        resolve(await c.from_pretrained(model, pretrainedOptions));\n                        return;\n                    } catch (err) {\n                        e = err;\n                    }\n                }\n                reject(e);\n            })\n        } else {\n            promise = cls.from_pretrained(model, pretrainedOptions);\n        }\n\n        result[name] = promise;\n        promises.push(promise);\n    }\n\n    // Wait for all promises to resolve (in parallel)\n    await Promise.all(promises);\n\n    // Then assign to result\n    for (let [name, promise] of Object.entries(result)) {\n        result[name] = await promise;\n    }\n\n    return result;\n}","/**\r\n * Transformers.js Module - Local AI inference using Transformers.js\r\n * Runs Flan-T5 language model in the browser for PRS result analysis\r\n */\r\n\r\nimport { pipeline, env } from '@xenova/transformers';\r\n\r\n// Configure Transformers.js for browser use\r\nenv.allowLocalModels = false;\r\nenv.useBrowserCache = true;\r\n\r\n// Model state\r\nlet generator = null;\r\nlet isModelLoading = false;\r\nlet modelLoaded = false;\r\n\r\n// Use a small, efficient model for browser inference\r\nconst MODEL_ID = 'Xenova/flan-t5-base';\r\n\r\n/**\r\n * Initialize the text generation pipeline\r\n * loads model once\r\n * prevents duplicate loading\r\n * shows progress\r\n */\r\nasync function initModel(progressCallback) {\r\n    if (modelLoaded && generator) return generator;\r\n    if (isModelLoading) return null;\r\n    \r\n    isModelLoading = true;\r\n    \r\n    try {\r\n        generator = await pipeline('text2text-generation', MODEL_ID, {\r\n            progress_callback: progressCallback\r\n        });\r\n        modelLoaded = true;\r\n        isModelLoading = false;\r\n        return generator;\r\n    } catch (err) {\r\n        isModelLoading = false;\r\n        throw err;\r\n    }\r\n}\r\n\r\n/**\r\n * Generate AI response based on PRS results\r\n */\r\nasync function generateResponse(prompt, maxLength = 256) {\r\n    if (!generator) {\r\n        throw new Error('Model not initialized. Please load the model first.');\r\n    }\r\n    \r\n    const result = await generator(prompt, {\r\n        max_new_tokens: maxLength,\r\n        temperature: 0.7,\r\n        do_sample: true,\r\n        top_p: 0.9\r\n    });\r\n    \r\n    return result[0].generated_text;\r\n}\r\n\r\n/**\r\n * Build a prompt from PRS results for AI analysis\r\n * Uses detailed matched data from window.matchedResults when available\r\n * Step 1: Summarize PRS results (top 5)\r\n * Step 2: Feature engineering for LLMs - Add detailed genomics data (allele distributions, top variants, beta sums) if available\r\n * Step 3: Final prompt (You are an expert in genomics...) with question for AI\r\n */\r\nfunction buildPRSPrompt(results, question) {\r\n    //console.log(\"Building AI prompt with PRS results:\", results);\r\n    if (!results || results.length === 0) {\r\n        return `Question about polygenic risk scores: ${question}\\n\\nAnswer:`;\r\n    }\r\n    \r\n    // Check for detailed matched data from window.matchedResults (processed all results)\r\n    const matchedResults = window.matchedResults ?? {};\r\n    const hasMatchedResults = Object.keys(matchedResults).length > 0;\r\n    \r\n    let detailedAnalysis = '';\r\n    \r\n    if (hasMatchedResults) {\r\n        detailedAnalysis = '\\nDetailed variant analysis for all results:\\n';\r\n        \r\n        Object.entries(matchedResults).forEach(([key, data]) => {\r\n            const md = data.matchedData;\r\n            if (!md) return;\r\n            \r\n            const totalVariants = (md.matched?.dt?.length ?? 0) + (md.not_matched?.dt?.length ?? 0);\r\n            const matchedCount = md.matched?.dt?.length ?? 0;\r\n            const matchRate = totalVariants > 0 ? ((matchedCount / totalVariants) * 100).toFixed(1) : 0;\r\n            \r\n            // Allele distribution\r\n            const zeroAlleles = md.matched_by_alleles?.zero_allele?.count ?? 0;\r\n            const oneAllele = md.matched_by_alleles?.one_allele?.count ?? 0;\r\n            const twoAlleles = md.matched_by_alleles?.two_allele?.count ?? 0;\r\n            \r\n            // Beta sums\r\n            const betaSums = md.betaSums ?? {};\r\n            \r\n            detailedAnalysis += `\r\n${data.userId}${data.userName ? ` (${data.userName})` : ''} - ${data.pgsId} (${data.trait || 'trait unknown'}):\r\n  PRS: ${typeof data.PRS === 'number' ? data.PRS.toFixed(4) : 'N/A'}\r\n  Variants: ${matchedCount}/${totalVariants} matched (${matchRate}%)\r\n  Allele distribution: 0-allele=${zeroAlleles}, 1-allele=${oneAllele}, 2-allele=${twoAlleles}\r\n  Effect weight sums: matched(+)=${(betaSums.matchedPositive ?? 0).toFixed(4)}, matched(-)=${(betaSums.matchedNegative ?? 0).toFixed(4)}`;\r\n            \r\n            // Top contributors\r\n            if (md.topContributors && md.topContributors.length > 0) {\r\n                detailedAnalysis += '\\n  Top contributors: ';\r\n                detailedAnalysis += md.topContributors.slice(0, 3).map(c => \r\n                    `${c.chrPos}(β×z=${c.score.toFixed(3)})`\r\n                ).join(', ');\r\n            }\r\n            detailedAnalysis += '\\n';\r\n        });\r\n    } else {\r\n        // Fallback to window.PGS23.data for single selected result\r\n        const plotData = window.PGS23?.data;\r\n        \r\n        if (plotData && plotData.plot) {\r\n            const matched = plotData.plot.matched;\r\n            const notMatched = plotData.plot.not_matched;\r\n            const matchedByAlleles = plotData.plot.matched_by_alleles;\r\n            \r\n            const totalVariants = (matched?.dt?.length ?? 0) + (notMatched?.dt?.length ?? 0);\r\n            const matchedCount = matched?.dt?.length ?? 0;\r\n            const matchRate = totalVariants > 0 ? ((matchedCount / totalVariants) * 100).toFixed(1) : 0;\r\n            \r\n            const matchedBetaSum = matched?.risk?.reduce((a, b) => a + b, 0) ?? 0;\r\n            const unmatchedBetaSum = notMatched?.risk?.reduce((a, b) => a + b, 0) ?? 0;\r\n            \r\n            const zeroAlleles = matchedByAlleles?.zero_allele?.dt?.length ?? 0;\r\n            const oneAllele = matchedByAlleles?.one_allele?.dt?.length ?? 0;\r\n            const twoAlleles = matchedByAlleles?.two_allele?.dt?.length ?? 0;\r\n            \r\n            detailedAnalysis = `\r\nDetailed variant analysis (selected result only):\r\n- Total variants in score: ${totalVariants}\r\n- Matched to genome: ${matchedCount} (${matchRate}%)\r\n- Unmatched: ${notMatched?.dt?.length ?? 0}\r\n- Sum of matched betas: ${matchedBetaSum.toFixed(4)}\r\n- Sum of unmatched betas: ${unmatchedBetaSum.toFixed(4)}\r\n- Allele distribution: 0-allele=${zeroAlleles}, 1-allele=${oneAllele}, 2-allele=${twoAlleles}\r\n`;\r\n        }\r\n    }\r\n    \r\n    // Summarize PRS results\r\n    const summaries = results.slice(0, 5).map(r => {\r\n        const userId = r.userId ?? 'Unknown';\r\n        const userName = r.userName ? ` (${r.userName})` : '';\r\n        const pgsId = r.pgsId ?? 'Unknown';\r\n        const trait = r.organized?.summary?.trait ?? r.pgs?.meta?.trait_reported ?? 'Unknown trait';\r\n        const prs = typeof r.PRS === 'number' ? r.PRS.toFixed(4) : 'N/A';\r\n        const matched = r.pgsMatchMy23?.length ?? 0;\r\n        const total = r.organized?.all?.dt?.length ?? r.pgs?.dt?.length ?? 0;\r\n        \r\n        return `- ${userId}${userName}: ${trait} (${pgsId}), PRS=${prs}, matched ${matched}/${total} variants`;\r\n    }).join('\\n');\r\n    \r\n    const prompt = `You are an expert in genomics and polygenic risk scores. Analyze these PRS results:\r\n\r\n${summaries}\r\n${detailedAnalysis}\r\nQuestion: ${question}\r\n\r\nProvide a brief, helpful response:`;\r\n    \r\n    return prompt;\r\n}\r\n\r\n/**\r\n * Render the Ask AI tab content\r\n */\r\nfunction rendertransformersjs() {\r\n    const container = document.getElementById('transformersjsDiv');\r\n    if (!container) return;\r\n    \r\n    const prsResults = window.prsResults ?? [];\r\n    const hasResults = prsResults.length > 0;\r\n    const matchedResults = window.matchedResults ?? {};\r\n    const hasMatchedResults = Object.keys(matchedResults).length > 0;\r\n    \r\n    container.innerHTML = `\r\n        ${!hasResults ? `\r\n            <div class=\"alert alert-info\">\r\n                <strong>No PRS results available.</strong><br>\r\n                Please go to the <strong>Calculate PRS</strong> tab first and run a PRS calculation. <a href=\"#\" onclick=\"document.querySelector('.tablinks[onclick*=PRS]').click(); return false;\">Go to Calculate PRS →</a>\r\n            </div>\r\n        ` : ''}\r\n        \r\n        <div class=\"mb-3\">\r\n            <div id=\"modelStatusDiv\" class=\"alert alert-secondary\">\r\n                <strong>Model Status:</strong> <span id=\"modelStatusText\">Not loaded</span>\r\n                <div id=\"modelProgressDiv\" class=\"progress mt-2\" style=\"display:none; height: 20px;\">\r\n                    <div id=\"modelProgressBar\" class=\"progress-bar progress-bar-striped progress-bar-animated\" \r\n                         role=\"progressbar\" style=\"width: 0%\"></div>\r\n                </div>\r\n            </div>\r\n            <button id=\"loadModelBtn\" class=\"btn btn-primary btn-sm\">\r\n                <span id=\"loadModelSpinner\" class=\"spinner-border spinner-border-sm me-1\" style=\"display:none;\"></span>\r\n                Load Flan-T5 Model\r\n            </button>\r\n            <small class=\"text-muted ms-2\">~250MB download, runs locally in browser</small>\r\n        </div>\r\n        \r\n        <hr />\r\n        \r\n        ${hasResults ? `\r\n            <div class=\"mb-3\">\r\n                <strong>Available Results:</strong>\r\n                <ul class=\"small mb-2\">\r\n                    ${prsResults.slice(0, 5).map(r => {\r\n                        const userId = r.userId ?? 'Unknown';\r\n                        const trait = r.organized?.summary?.trait ?? r.pgs?.meta?.trait_reported ?? '';\r\n                        const prs = typeof r.PRS === 'number' ? r.PRS.toFixed(4) : 'N/A';\r\n                        return `<li>${userId}: ${trait} - PRS: ${prs}</li>`;\r\n                    }).join('')}\r\n                    ${prsResults.length > 5 ? `<li>...and ${prsResults.length - 5} more</li>` : ''}\r\n                </ul>\r\n                ${hasMatchedResults ? `\r\n                    <div class=\"alert alert-success py-2 small\">\r\n                        <strong>✓ Detailed variant analysis available for ${Object.keys(matchedResults).length} result(s)</strong> - \r\n                        The AI has access to allele distributions, top contributing variants, and beta values for all results.\r\n                    </div>\r\n                ` : `\r\n                    <div class=\"alert alert-warning py-2 small\">\r\n                        <strong>Tip:</strong> Visit the <strong>Inspect Individual PRS Results</strong> tab first to give the AI detailed \r\n                        variant analysis (allele distributions, top contributors, beta values) for all results.\r\n                    </div>\r\n                `}\r\n            </div>\r\n        ` : ''}\r\n        \r\n        <div class=\"mb-3\">\r\n            <label for=\"aiQuestionInput\" class=\"form-label\"><strong>Ask Flan-T5 about your PRS results:</strong></label>\r\n            <textarea id=\"aiQuestionInput\" class=\"form-control\" rows=\"3\" \r\n                placeholder=\"Enter your question here...\"\r\n                ${!hasResults ? 'disabled' : ''}> Which variants contribute most to the score?</textarea>\r\n        </div>\r\n        \r\n        <div class=\"mb-3\">\r\n            <button id=\"transformersjsBtn\" class=\"btn btn-success\" ${!hasResults ? 'disabled' : ''}>\r\n                <span id=\"transformersjsSpinner\" class=\"spinner-border spinner-border-sm me-1\" style=\"display:none;\"></span>\r\n                Ask Flan-T5\r\n            </button>\r\n            <button id=\"clearResponseBtn\" class=\"btn btn-outline-secondary ms-2\" style=\"display:none;\">Clear</button>\r\n        </div>\r\n        \r\n        <div id=\"aiResponseDiv\" class=\"mt-3\" style=\"display:none;\">\r\n            <div class=\"card\">\r\n                <div class=\"card-header\"><strong>Flan-T5 Response</strong></div>\r\n                <div class=\"card-body\">\r\n                    <div id=\"aiResponseText\"></div>\r\n                </div>\r\n            </div>\r\n        </div>\r\n        \r\n        <div class=\"mt-4 small text-muted\">\r\n            <strong>Note:</strong> This uses \r\n            <a href=\"https://huggingface.co/docs/transformers.js\" target=\"_blank\">Transformers.js</a> \r\n            to run Google's Flan-T5 model locally in your browser.\r\n            No data is sent to external servers. The model provides general information and should not \r\n            be considered medical advice.\r\n        </div>\r\n\r\n        <hr class=\"my-4\" />\r\n        <div class=\"card\">\r\n            <div class=\"card-header\"><strong>Pipeline: PRS Analysis with Transformers.js</strong></div>\r\n            <div class=\"card-body text-center\">\r\n                <div class=\"d-flex flex-column align-items-center\" style=\"font-family: monospace; font-size: 0.9rem;\">\r\n                    <div class=\"badge bg-primary px-3 py-2\">PRS Results + Variant Data</div>\r\n                    <div class=\"text-muted my-1\">↓</div>\r\n                    <div class=\"badge bg-secondary px-3 py-2\">buildPRSPrompt()</div>\r\n                    <div class=\"text-muted my-1\">↓</div>\r\n                    <div class=\"badge bg-info px-3 py-2\">Natural language prompt</div>\r\n                    <div class=\"text-muted my-1\">↓</div>\r\n                    <div class=\"badge bg-warning text-dark px-3 py-2\">Transformers.js (Flan-T5)</div>\r\n                    <div class=\"text-muted my-1\">↓</div>\r\n                    <div class=\"badge bg-success px-3 py-2\">Generated explanation</div>\r\n                    <div class=\"text-muted my-1\">↓</div>\r\n                    <div class=\"badge bg-dark px-3 py-2\">UI display</div>\r\n                </div>\r\n            </div>\r\n        </div>\r\n    `;\r\n    \r\n    // Attach event handlers\r\n    attachAIEventHandlers();\r\n}\r\n\r\n/**\r\n * Attach event handlers for the AI tab\r\n */\r\nfunction attachAIEventHandlers() {\r\n    const loadModelBtn = document.getElementById('loadModelBtn');\r\n    const transformersjsBtn = document.getElementById('transformersjsBtn');\r\n    const clearResponseBtn = document.getElementById('clearResponseBtn');\r\n    \r\n    if (loadModelBtn) {\r\n        loadModelBtn.onclick = handleLoadModel;\r\n    }\r\n    \r\n    if (transformersjsBtn) {\r\n        transformersjsBtn.onclick = handletransformersjs;\r\n    }\r\n    \r\n    if (clearResponseBtn) {\r\n        clearResponseBtn.onclick = () => {\r\n            const responseDiv = document.getElementById('aiResponseDiv');\r\n            if (responseDiv) responseDiv.style.display = 'none';\r\n            clearResponseBtn.style.display = 'none';\r\n        };\r\n    }\r\n}\r\n\r\n/**\r\n * Handle loading the AI model\r\n */\r\nasync function handleLoadModel() {\r\n    const loadModelBtn = document.getElementById('loadModelBtn');\r\n    const loadModelSpinner = document.getElementById('loadModelSpinner');\r\n    const modelStatusText = document.getElementById('modelStatusText');\r\n    const modelProgressDiv = document.getElementById('modelProgressDiv');\r\n    const modelProgressBar = document.getElementById('modelProgressBar');\r\n    const modelStatusDiv = document.getElementById('modelStatusDiv');\r\n    \r\n    if (modelLoaded) {\r\n        modelStatusText.textContent = 'Already loaded!';\r\n        return;\r\n    }\r\n    \r\n    loadModelBtn.disabled = true;\r\n    loadModelSpinner.style.display = '';\r\n    modelStatusText.textContent = 'Loading model...';\r\n    modelProgressDiv.style.display = '';\r\n    modelStatusDiv.className = 'alert alert-warning';\r\n    \r\n    try {\r\n        await initModel((progress) => {\r\n            if (progress.status === 'progress') {\r\n                const pct = Math.round((progress.loaded / progress.total) * 100);\r\n                modelProgressBar.style.width = `${pct}%`;\r\n                modelProgressBar.textContent = `${pct}%`;\r\n                modelStatusText.textContent = `Downloading ${progress.file}... ${pct}%`;\r\n            } else if (progress.status === 'done') {\r\n                modelStatusText.textContent = `Loaded ${progress.file}`;\r\n            } else if (progress.status === 'ready') {\r\n                modelStatusText.textContent = 'Model ready!';\r\n            }\r\n        });\r\n        \r\n        modelStatusText.textContent = 'Model loaded and ready!';\r\n        modelStatusDiv.className = 'alert alert-success';\r\n        modelProgressDiv.style.display = 'none';\r\n        loadModelBtn.textContent = 'Model Loaded ✓';\r\n        loadModelBtn.className = 'btn btn-success btn-sm';\r\n        \r\n    } catch (err) {\r\n        console.error('Error loading model:', err);\r\n        modelStatusText.textContent = `Error: ${err.message}`;\r\n        modelStatusDiv.className = 'alert alert-danger';\r\n        loadModelBtn.disabled = false;\r\n    }\r\n    \r\n    loadModelSpinner.style.display = 'none';\r\n}\r\n\r\n/**\r\n * Handle asking AI a question\r\n */\r\nasync function handletransformersjs() {\r\n    const questionInput = document.getElementById('aiQuestionInput');\r\n    const transformersjsBtn = document.getElementById('transformersjsBtn');\r\n    const transformersjsSpinner = document.getElementById('transformersjsSpinner');\r\n    const responseDiv = document.getElementById('aiResponseDiv');\r\n    const responseText = document.getElementById('aiResponseText');\r\n    const clearResponseBtn = document.getElementById('clearResponseBtn');\r\n    \r\n    const question = questionInput?.value?.trim();\r\n    if (!question) {\r\n        alert('Please enter a question.');\r\n        return;\r\n    }\r\n    \r\n    if (!modelLoaded) {\r\n        alert('Please load the Flan-T5 model first.');\r\n        return;\r\n    }\r\n    \r\n    transformersjsBtn.disabled = true;\r\n    transformersjsSpinner.style.display = '';\r\n    responseDiv.style.display = '';\r\n    responseText.innerHTML = '<div class=\"text-muted\"><em>Generating response...</em></div>';\r\n    \r\n    try {\r\n        const prsResults = window.prsResults ?? [];\r\n        const prompt = buildPRSPrompt(prsResults, question);\r\n        // console.log(\"Building AI prompt based on PRS results:\", prsResults);\r\n\r\n        // console.log('AI Prompt (first 500 chars):', prompt.slice(0, 500) + '...');\r\n        const response = await generateResponse(prompt);\r\n        // console.log('AI Response:', response);\r\n        \r\n        responseText.innerHTML = `<p>${response.replace(/\\n/g, '<br>')}</p>`;\r\n        clearResponseBtn.style.display = '';\r\n        \r\n    } catch (err) {\r\n        console.error('Error generating response:', err);\r\n        responseText.innerHTML = `<div class=\"alert alert-danger\">Error: ${err.message}</div>`;\r\n    }\r\n    \r\n    transformersjsBtn.disabled = false;\r\n    transformersjsSpinner.style.display = 'none';\r\n}\r\n\r\n// Expose functions globally\r\nwindow.rendertransformersjs = rendertransformersjs;\r\nwindow.initAIModel = initModel;\r\n\r\nexport {\r\n    rendertransformersjs,\r\n    initModel,\r\n    generateResponse,\r\n    buildPRSPrompt\r\n};\r\n","/**\r\n * WebLLM Module - Local AI inference using WebLLM with multiple model options\r\n * Runs LLMs in the browser via WebGPU\r\n */\r\n\r\nimport * as webllm from \"https://esm.run/@mlc-ai/web-llm\";\r\n\r\n// Model state\r\nlet engine = null;\r\nlet isModelLoading = false;\r\nlet modelLoaded = false;\r\nlet currentModelId = null;\r\n\r\n// Available models configuration\r\nconst AVAILABLE_MODELS = [\r\n    {\r\n        id: \"Phi-3-mini-4k-instruct-q4f16_1-MLC\",\r\n        name: \"Phi-3 Mini (Default)\",\r\n        description: \"Microsoft's compact model. Fast, lightweight, good for quick analysis.\",\r\n        size: \"~2GB\",\r\n        badge: \"⚡ Fast\",\r\n        badgeClass: \"bg-success\"\r\n    },\r\n    {\r\n        id: \"Llama-3.2-1B-Instruct-q4f16_1-MLC\",\r\n        name: \"Llama 3.2 (1B)\",\r\n        description: \"Meta's smallest Llama 3. Good balance of speed and quality.\",\r\n        size: \"~1GB\",\r\n        badge: \"🥇 Balanced\",\r\n        badgeClass: \"bg-primary\"\r\n    },\r\n    {\r\n        id: \"Llama-3.2-3B-Instruct-q4f16_1-MLC\",\r\n        name: \"Llama 3.2 (3B)\",\r\n        description: \"Stronger reasoning than 1B. Better explanations, slower load.\",\r\n        size: \"~2.5GB\",\r\n        badge: \"🥇 Best Quality\",\r\n        badgeClass: \"bg-primary\"\r\n    },\r\n    {\r\n        id: \"Qwen2.5-1.5B-Instruct-q4f16_1-MLC\",\r\n        name: \"Qwen 2.5 (1.5B)\",\r\n        description: \"Alibaba's model. Great for structured outputs and multilingual.\",\r\n        size: \"~1.5GB\",\r\n        badge: \"🥈 Flexible\",\r\n        badgeClass: \"bg-info\"\r\n    },\r\n    {\r\n        id: \"Qwen2.5-3B-Instruct-q4f16_1-MLC\",\r\n        name: \"Qwen 2.5 (3B)\",\r\n        description: \"Larger Qwen with better reasoning. Good explanations.\",\r\n        size: \"~2.5GB\",\r\n        badge: \"🥈 Smart\",\r\n        badgeClass: \"bg-info\"\r\n    },\r\n    {\r\n        id: \"gemma-2-2b-it-q4f16_1-MLC\",\r\n        name: \"Gemma 2 (2B)\",\r\n        description: \"Google's model. Clean outputs, consistent tone, safe responses.\",\r\n        size: \"~2GB\",\r\n        badge: \"🥉 Clean\",\r\n        badgeClass: \"bg-warning text-dark\"\r\n    },\r\n    {\r\n        id: \"Mistral-7B-Instruct-v0.3-q4f16_1-MLC\",\r\n        name: \"Mistral 7B (Large)\",\r\n        description: \"Strong reasoning, high quality. Requires more memory/time.\",\r\n        size: \"~4GB\",\r\n        badge: \"⚡ Powerful\",\r\n        badgeClass: \"bg-danger\"\r\n    }\r\n];\r\n\r\n// Default model\r\nconst DEFAULT_MODEL_ID = \"Phi-3-mini-4k-instruct-q4f16_1-MLC\";\r\n\r\n/**\r\n * Initialize the WebLLM engine with specified model\r\n * @param {string} modelId - The model ID to load\r\n * @param {function} progressCallback - Progress callback function\r\n */\r\nasync function initModel(modelId, progressCallback) {\r\n    const targetModelId = modelId || DEFAULT_MODEL_ID;\r\n    \r\n    // If same model already loaded, return existing engine\r\n    if (modelLoaded && engine && currentModelId === targetModelId) return engine;\r\n    \r\n    // If different model requested, unload current first\r\n    if (engine && currentModelId !== targetModelId) {\r\n        // console.log(`Switching from ${currentModelId} to ${targetModelId}`);\r\n        await unloadModel();\r\n    }\r\n    \r\n    if (isModelLoading) return null;\r\n    \r\n    isModelLoading = true;\r\n    \r\n    try {\r\n        engine = await webllm.CreateMLCEngine(targetModelId, {\r\n            initProgressCallback: (progress) => {\r\n                if (progressCallback) {\r\n                    progressCallback({\r\n                        status: 'progress',\r\n                        text: progress.text,\r\n                        progress: progress.progress\r\n                    });\r\n                }\r\n            }\r\n        });\r\n        modelLoaded = true;\r\n        currentModelId = targetModelId;\r\n        isModelLoading = false;\r\n        return engine;\r\n    } catch (err) {\r\n        isModelLoading = false;\r\n        throw err;\r\n    }\r\n}\r\n\r\n/**\r\n * Unload the current model to free memory\r\n */\r\nasync function unloadModel() {\r\n    if (engine) {\r\n        try {\r\n            await engine.unload();\r\n        } catch (e) {\r\n            console.warn('Error unloading model:', e);\r\n        }\r\n        engine = null;\r\n    }\r\n    modelLoaded = false;\r\n    currentModelId = null;\r\n}\r\n\r\n/**\r\n * Clear cached models from browser storage\r\n * WebLLM stores models in Cache Storage API\r\n */\r\nasync function clearModelCache() {\r\n    try {\r\n        // Unload current model first\r\n        await unloadModel();\r\n        \r\n        // Clear WebLLM caches\r\n        const cacheNames = await caches.keys();\r\n        let clearedCount = 0;\r\n        \r\n        for (const name of cacheNames) {\r\n            // WebLLM caches typically have 'webllm' or 'mlc' in their names\r\n            if (name.toLowerCase().includes('webllm') || \r\n                name.toLowerCase().includes('mlc') || \r\n                name.toLowerCase().includes('model') ||\r\n                name.toLowerCase().includes('wasm')) {\r\n                await caches.delete(name);\r\n                clearedCount++;\r\n                // console.log(`Cleared cache: ${name}`);\r\n            }\r\n        }\r\n        \r\n        // Also try to clear IndexedDB entries that WebLLM might use\r\n        const databases = await indexedDB.databases();\r\n        for (const db of databases) {\r\n            if (db.name && (db.name.toLowerCase().includes('webllm') || \r\n                           db.name.toLowerCase().includes('mlc') ||\r\n                           db.name.toLowerCase().includes('model'))) {\r\n                indexedDB.deleteDatabase(db.name);\r\n                clearedCount++;\r\n                // console.log(`Deleted IndexedDB: ${db.name}`);\r\n            }\r\n        }\r\n        \r\n        return clearedCount;\r\n    } catch (err) {\r\n        console.error('Error clearing model cache:', err);\r\n        throw err;\r\n    }\r\n}\r\n\r\n/**\r\n * Get information about currently loaded model\r\n */\r\nfunction getCurrentModelInfo() {\r\n    if (!currentModelId) return null;\r\n    return AVAILABLE_MODELS.find(m => m.id === currentModelId);\r\n}\r\n\r\n/**\r\n * Generate AI response based on PRS results using WebLLM\r\n */\r\nasync function generateResponse(prompt, maxTokens = 256) {//512\r\n    if (!engine) {\r\n        throw new Error('Model not initialized. Please load the model first.');\r\n    }\r\n    \r\n    const messages = [\r\n        { role: \"system\", content: \"You are an expert genomics assistant specializing in polygenic risk scores. Provide clear, helpful explanations about PRS results. Be concise but thorough.\" },\r\n        { role: \"user\", content: prompt }\r\n    ];\r\n    \r\n    const response = await engine.chat.completions.create({\r\n        messages,\r\n        max_tokens: maxTokens,\r\n        temperature: 0.7,\r\n        top_p: 0.9\r\n    });\r\n    \r\n    return response.choices[0].message.content;\r\n}\r\n\r\n/**\r\n * Generate streaming AI response\r\n */\r\nasync function* generateStreamingResponse(prompt, maxTokens = 512) {\r\n    if (!engine) {\r\n        throw new Error('Model not initialized. Please load the model first.');\r\n    }\r\n    \r\n    const messages = [\r\n        { role: \"system\", content: \"You are an expert genomics assistant specializing in polygenic risk scores. Provide clear, helpful explanations about PRS results. Be concise but thorough.\" },\r\n        { role: \"user\", content: prompt }\r\n    ];\r\n    \r\n    const chunks = await engine.chat.completions.create({\r\n        messages,\r\n        max_tokens: maxTokens,\r\n        temperature: 0.7,\r\n        top_p: 0.9,\r\n        stream: true\r\n    });\r\n    \r\n    for await (const chunk of chunks) {\r\n        const content = chunk.choices[0]?.delta?.content || \"\";\r\n        if (content) {\r\n            yield content;\r\n        }\r\n    }\r\n}\r\n\r\n/**\r\n * Build a prompt from PRS results for AI analysis\r\n */\r\nfunction buildPRSPrompt(results, question) {\r\n    if (!results || results.length === 0) {\r\n        return `Question about polygenic risk scores: ${question}`;\r\n    }\r\n    \r\n    // Check for detailed matched data from window.matchedResults\r\n    const matchedResults = window.matchedResults ?? {};\r\n    const hasMatchedResults = Object.keys(matchedResults).length > 0;\r\n    \r\n    let detailedAnalysis = '';\r\n    \r\n    if (hasMatchedResults) {\r\n        detailedAnalysis = '\\n\\nDetailed variant analysis:\\n';\r\n        \r\n        Object.entries(matchedResults).forEach(([key, data]) => {\r\n            const md = data.matchedData;\r\n            if (!md) return;\r\n            \r\n            const totalVariants = (md.matched?.dt?.length ?? 0) + (md.not_matched?.dt?.length ?? 0);\r\n            const matchedCount = md.matched?.dt?.length ?? 0;\r\n            const matchRate = totalVariants > 0 ? ((matchedCount / totalVariants) * 100).toFixed(1) : 0;\r\n            \r\n            const zeroAlleles = md.matched_by_alleles?.zero_allele?.count ?? 0;\r\n            const oneAllele = md.matched_by_alleles?.one_allele?.count ?? 0;\r\n            const twoAlleles = md.matched_by_alleles?.two_allele?.count ?? 0;\r\n            \r\n            const betaSums = md.betaSums ?? {};\r\n            \r\n            detailedAnalysis += `${data.userId}${data.userName ? ` (${data.userName})` : ''} - ${data.pgsId} (${data.trait || 'trait unknown'}):\r\n  PRS: ${typeof data.PRS === 'number' ? data.PRS.toFixed(4) : 'N/A'}\r\n  Variants: ${matchedCount}/${totalVariants} matched (${matchRate}%)\r\n  Allele distribution: 0-allele=${zeroAlleles}, 1-allele=${oneAllele}, 2-allele=${twoAlleles}\r\n  Effect weight sums: positive=${(betaSums.matchedPositive ?? 0).toFixed(4)}, negative=${(betaSums.matchedNegative ?? 0).toFixed(4)}\r\n`;\r\n        });\r\n    }\r\n    \r\n    // Summarize PRS results - sample from multiple users when available\r\n    // Group results by userId\r\n    const resultsByUser = {};\r\n    results.forEach(r => {\r\n        const userId = r.userId ?? 'Unknown';\r\n        if (!resultsByUser[userId]) {\r\n            resultsByUser[userId] = [];\r\n        }\r\n        resultsByUser[userId].push(r);\r\n    });\r\n    \r\n    // Take up to 2 results per user, max 10 total results\r\n    const userIds = Object.keys(resultsByUser);\r\n    const sampledResults = [];\r\n    const maxPerUser = Math.max(1, Math.floor(10 / userIds.length));\r\n    \r\n    for (const userId of userIds) {\r\n        const userResults = resultsByUser[userId].slice(0, maxPerUser);\r\n        sampledResults.push(...userResults);\r\n    }\r\n    \r\n    // Limit to 10 total\r\n    const finalResults = sampledResults.slice(0, 10);\r\n    \r\n    const summaries = finalResults.map(r => {\r\n        const userId = r.userId ?? 'Unknown';\r\n        const userName = r.userName ? ` (${r.userName})` : '';\r\n        const pgsId = r.pgsId ?? 'Unknown';\r\n        const trait = r.organized?.summary?.trait ?? r.pgs?.meta?.trait_reported ?? 'Unknown trait';\r\n        const prs = typeof r.PRS === 'number' ? r.PRS.toFixed(4) : 'N/A';\r\n        const matched = r.pgsMatchMy23?.length ?? 0;\r\n        const total = r.organized?.all?.dt?.length ?? r.pgs?.dt?.length ?? 0;\r\n        \r\n        return `- ${userId}${userName}: ${trait} (${pgsId}), PRS=${prs}, matched ${matched}/${total} variants`;\r\n    }).join('\\n');\r\n    \r\n    return `Analyze these Polygenic Risk Score (PRS) results:\r\n\r\n${summaries}\r\n${detailedAnalysis}\r\nQuestion: ${question}`;\r\n}\r\n\r\n/**\r\n * Render the WebLLM tab content\r\n */\r\nfunction renderWebLLM() {\r\n    const container = document.getElementById('webLLMDiv');\r\n    if (!container) return;\r\n    \r\n    const prsResults = window.prsResults ?? [];\r\n    const hasResults = prsResults.length > 0;\r\n    const matchedResults = window.matchedResults ?? {};\r\n    const hasMatchedResults = Object.keys(matchedResults).length > 0;\r\n    const currentModel = getCurrentModelInfo();\r\n    const selectedModelId = currentModelId || DEFAULT_MODEL_ID;\r\n    \r\n    // Build model options HTML\r\n    const modelOptionsHtml = AVAILABLE_MODELS.map(model => `\r\n        <option value=\"${model.id}\" ${model.id === selectedModelId ? 'selected' : ''}>\r\n            ${model.badge} ${model.name} (${model.size})\r\n        </option>\r\n    `).join('');\r\n    \r\n    // Get selected model info for display\r\n    const selectedModel = AVAILABLE_MODELS.find(m => m.id === selectedModelId) || AVAILABLE_MODELS[0];\r\n    \r\n    container.innerHTML = `\r\n        ${!hasResults ? `\r\n            <div class=\"alert alert-info\">\r\n                <strong>No PRS results available.</strong><br>\r\n                Please go to the <strong>Calculate PRS</strong> tab first and run a PRS calculation. <a href=\"#\" onclick=\"document.querySelector('.tablinks[onclick*=PRS]').click(); return false;\">Go to Calculate PRS →</a>\r\n            </div>\r\n        ` : ''}\r\n        \r\n        <!-- Model Selection -->\r\n        <div class=\"card mb-3\">\r\n            <div class=\"card-header d-flex justify-content-between align-items-center\">\r\n                <strong>🤖 Model Selection</strong>\r\n                <button id=\"clearCacheBtn\" class=\"btn btn-outline-danger btn-sm\" title=\"Clear all cached models to free storage\">\r\n                    <i class=\"fa fa-trash me-1\"></i>Clear Model Cache\r\n                </button>\r\n            </div>\r\n            <div class=\"card-body\">\r\n                <div class=\"row\">\r\n                    <div class=\"col-md-6\">\r\n                        <label for=\"modelSelect\" class=\"form-label\"><strong>Select AI Model:</strong></label>\r\n                        <select id=\"modelSelect\" class=\"form-select\">\r\n                            ${modelOptionsHtml}\r\n                        </select>\r\n                    </div>\r\n                    <div class=\"col-md-6\">\r\n                        <div id=\"modelInfoDiv\" class=\"mt-md-4 pt-md-1\">\r\n                            <span class=\"badge ${selectedModel.badgeClass} me-2\">${selectedModel.badge}</span>\r\n                            <small class=\"text-muted\">${selectedModel.description}</small>\r\n                        </div>\r\n                    </div>\r\n                </div>\r\n                \r\n                <div class=\"alert alert-secondary small mt-3 mb-0\">\r\n                    <strong>Model Guide:</strong><br>\r\n                    🥇 <strong>Llama 3</strong> - Best overall quality, stronger reasoning<br>\r\n                    🥈 <strong>Qwen 2.5</strong> - Good for structured outputs and multilingual<br>\r\n                    🥉 <strong>Gemma 2</strong> - Clean, consistent outputs<br>\r\n                    ⚡ <strong>Phi-3 / Mistral</strong> - Fast (Phi-3) or Powerful (Mistral)\r\n                </div>\r\n            </div>\r\n        </div>\r\n        \r\n        <div class=\"mb-3\">\r\n            <div id=\"webllmStatusDiv\" class=\"alert alert-secondary\">\r\n                <strong>Model Status:</strong> <span id=\"webllmStatusText\">${modelLoaded ? `${currentModel?.name || 'Model'} loaded!` : 'Not loaded'}</span>\r\n                <div id=\"webllmProgressDiv\" class=\"progress mt-2\" style=\"display:none; height: 20px;\">\r\n                    <div id=\"webllmProgressBar\" class=\"progress-bar progress-bar-striped progress-bar-animated\" \r\n                         role=\"progressbar\" style=\"width: 0%\"></div>\r\n                </div>\r\n                <div id=\"webllmProgressText\" class=\"small text-muted mt-1\" style=\"display:none;\"></div>\r\n            </div>\r\n            <button id=\"loadWebLLMBtn\" class=\"btn ${modelLoaded ? 'btn-success' : 'btn-primary'} btn-sm\">\r\n                <span id=\"loadWebLLMSpinner\" class=\"spinner-border spinner-border-sm me-1\" style=\"display:none;\"></span>\r\n                ${modelLoaded ? `✓ ${currentModel?.name || 'Model'} Loaded` : `Load ${selectedModel.name}`}\r\n            </button>\r\n            <button id=\"unloadModelBtn\" class=\"btn btn-outline-warning btn-sm ms-2\" ${!modelLoaded ? 'style=\"display:none;\"' : ''}>\r\n                Unload Model\r\n            </button>\r\n            <small class=\"text-muted ms-2\">Size: ${selectedModel.size}, requires WebGPU-enabled browser</small>\r\n        </div>\r\n        \r\n        <div class=\"alert alert-warning small\">\r\n            <strong>Requirements:</strong> WebGPU support (Chrome 113+, Edge 113+). \r\n            Models run entirely on your GPU - no data leaves your browser.\r\n            <br><strong>Tip:</strong> Clear model cache to free disk space after use.\r\n        </div>\r\n        \r\n        <hr />\r\n        \r\n        ${hasResults ? `\r\n            <div class=\"mb-3\">\r\n                <strong>Available Results:</strong>\r\n                <ul class=\"small mb-2\">\r\n                    ${prsResults.slice(0, 5).map(r => {\r\n                        const userId = r.userId ?? 'Unknown';\r\n                        const trait = r.organized?.summary?.trait ?? r.pgs?.meta?.trait_reported ?? '';\r\n                        const prs = typeof r.PRS === 'number' ? r.PRS.toFixed(4) : 'N/A';\r\n                        return `<li>${userId}: ${trait} - PRS: ${prs}</li>`;\r\n                    }).join('')}\r\n                    ${prsResults.length > 5 ? `<li>...and ${prsResults.length - 5} more</li>` : ''}\r\n                </ul>\r\n                ${hasMatchedResults ? `\r\n                    <div class=\"alert alert-success py-2 small\">\r\n                        <strong>✓ Detailed variant analysis available for ${Object.keys(matchedResults).length} result(s)</strong>\r\n                    </div>\r\n                ` : `\r\n                    <div class=\"alert alert-warning py-2 small\">\r\n                        <strong>Tip:</strong> Visit the <strong>Inspect Individual PRS Results</strong> tab first to give the AI detailed variant analysis.\r\n                    </div>\r\n                `}\r\n            </div>\r\n        ` : ''}\r\n        \r\n        <div class=\"mb-3\">\r\n            <label for=\"webllmQuestionInput\" class=\"form-label\"><strong>Ask <span id=\"modelNameLabel\">${currentModel?.name || selectedModel.name}</span> about your PRS results:</strong></label>\r\n            <textarea id=\"webllmQuestionInput\" class=\"form-control\" rows=\"3\" \r\n                placeholder=\"Enter your question here...\"\r\n                ${!hasResults ? 'disabled' : ''}>What is the highest risk or important variant in my PRS results?</textarea>\r\n        </div>\r\n        \r\n        <div class=\"mb-3\">\r\n            <div class=\"form-check form-check-inline\">\r\n                <input class=\"form-check-input\" type=\"checkbox\" id=\"streamingCheckbox\" checked>\r\n                <label class=\"form-check-label\" for=\"streamingCheckbox\">Enable streaming response</label>\r\n            </div>\r\n        </div>\r\n        \r\n        <div class=\"mb-3\">\r\n            <button id=\"askWebLLMBtn\" class=\"btn btn-success\" ${!hasResults ? 'disabled' : ''}>\r\n                <span id=\"askWebLLMSpinner\" class=\"spinner-border spinner-border-sm me-1\" style=\"display:none;\"></span>\r\n                Ask <span id=\"askModelNameLabel\">${currentModel?.name || selectedModel.name}</span>\r\n            </button>\r\n            <button id=\"clearWebLLMResponseBtn\" class=\"btn btn-outline-secondary ms-2\" style=\"display:none;\">Clear</button>\r\n        </div>\r\n        \r\n        <div id=\"webllmResponseDiv\" class=\"mt-3\" style=\"display:none;\">\r\n            <div class=\"card\">\r\n                <div class=\"card-header\"><strong><span id=\"responseModelName\">${currentModel?.name || selectedModel.name}</span> Response</strong></div>\r\n                <div class=\"card-body\">\r\n                    <div id=\"webllmResponseText\"></div>\r\n                </div>\r\n            </div>\r\n        </div>\r\n        \r\n        <div class=\"mt-4 small text-muted\">\r\n            <strong>Note:</strong> This uses <a href=\"https://github.com/mlc-ai/web-llm\" target=\"_blank\">WebLLM</a> \r\n            to run LLMs locally in your browser via WebGPU. \r\n            No data is sent to external servers. The model provides general information and should not \r\n            be considered medical advice.\r\n        </div>\r\n\r\n        <hr class=\"my-4\" />\r\n        <div class=\"card\">\r\n            <div class=\"card-header\"><strong>Pipeline: PRS Analysis with WebLLM</strong></div>\r\n            <div class=\"card-body text-center\">\r\n                <div class=\"d-flex flex-column align-items-center\" style=\"font-family: monospace; font-size: 0.9rem;\">\r\n                    <div class=\"badge bg-primary px-3 py-2\">PRS Results + Variant Data</div>\r\n                    <div class=\"text-muted my-1\">↓</div>\r\n                    <div class=\"badge bg-secondary px-3 py-2\">buildPRSPrompt()</div>\r\n                    <div class=\"text-muted my-1\">↓</div>\r\n                    <div class=\"badge bg-info px-3 py-2\">Natural language prompt</div>\r\n                    <div class=\"text-muted my-1\">↓</div>\r\n                    <div class=\"badge bg-purple px-3 py-2\" style=\"background-color: #6f42c1 !important;\">Chat message format (system + user)</div>\r\n                    <div class=\"text-muted my-1\">↓</div>\r\n                    <div id=\"pipelineModelBadge\" class=\"badge bg-warning text-dark px-3 py-2\">WebLLM (${currentModel?.name || selectedModel.name} via WebGPU)</div>\r\n                    <div class=\"text-muted my-1\">↓</div>\r\n                    <div class=\"badge bg-success px-3 py-2\">Streaming or full response</div>\r\n                    <div class=\"text-muted my-1\">↓</div>\r\n                    <div class=\"badge bg-dark px-3 py-2\">UI display</div>\r\n                </div>\r\n            </div>\r\n        </div>\r\n    `;\r\n    \r\n    // Attach event handlers\r\n    attachWebLLMEventHandlers();\r\n}\r\n\r\n/**\r\n * Attach event handlers for the WebLLM tab\r\n */\r\nfunction attachWebLLMEventHandlers() {\r\n    const loadWebLLMBtn = document.getElementById('loadWebLLMBtn');\r\n    const askWebLLMBtn = document.getElementById('askWebLLMBtn');\r\n    const clearResponseBtn = document.getElementById('clearWebLLMResponseBtn');\r\n    const modelSelect = document.getElementById('modelSelect');\r\n    const clearCacheBtn = document.getElementById('clearCacheBtn');\r\n    const unloadModelBtn = document.getElementById('unloadModelBtn');\r\n    \r\n    if (loadWebLLMBtn) {\r\n        loadWebLLMBtn.onclick = handleLoadWebLLM;\r\n    }\r\n    \r\n    if (askWebLLMBtn) {\r\n        askWebLLMBtn.onclick = handleAskWebLLM;\r\n    }\r\n    \r\n    if (clearResponseBtn) {\r\n        clearResponseBtn.onclick = () => {\r\n            const responseDiv = document.getElementById('webllmResponseDiv');\r\n            if (responseDiv) responseDiv.style.display = 'none';\r\n            clearResponseBtn.style.display = 'none';\r\n        };\r\n    }\r\n    \r\n    if (modelSelect) {\r\n        modelSelect.onchange = handleModelSelectionChange;\r\n    }\r\n    \r\n    if (clearCacheBtn) {\r\n        clearCacheBtn.onclick = handleClearCache;\r\n    }\r\n    \r\n    if (unloadModelBtn) {\r\n        unloadModelBtn.onclick = handleUnloadModel;\r\n    }\r\n}\r\n\r\n/**\r\n * Handle model selection change\r\n */\r\nfunction handleModelSelectionChange(event) {\r\n    const selectedId = event.target.value;\r\n    const model = AVAILABLE_MODELS.find(m => m.id === selectedId);\r\n    \r\n    if (!model) return;\r\n    \r\n    // Update model info display\r\n    const modelInfoDiv = document.getElementById('modelInfoDiv');\r\n    if (modelInfoDiv) {\r\n        modelInfoDiv.innerHTML = `\r\n            <span class=\"badge ${model.badgeClass} me-2\">${model.badge}</span>\r\n            <small class=\"text-muted\">${model.description}</small>\r\n        `;\r\n    }\r\n    \r\n    // Update load button text\r\n    const loadBtn = document.getElementById('loadWebLLMBtn');\r\n    if (loadBtn && !modelLoaded) {\r\n        loadBtn.innerHTML = `\r\n            <span id=\"loadWebLLMSpinner\" class=\"spinner-border spinner-border-sm me-1\" style=\"display:none;\"></span>\r\n            Load ${model.name}\r\n        `;\r\n    }\r\n    \r\n    // Update size text\r\n    const sizeText = loadBtn?.nextElementSibling?.nextElementSibling;\r\n    if (sizeText && sizeText.classList.contains('text-muted')) {\r\n        sizeText.textContent = `Size: ${model.size}, requires WebGPU-enabled browser`;\r\n    }\r\n    \r\n    // Update model name labels\r\n    const modelNameLabel = document.getElementById('modelNameLabel');\r\n    const askModelNameLabel = document.getElementById('askModelNameLabel');\r\n    const pipelineModelBadge = document.getElementById('pipelineModelBadge');\r\n    \r\n    if (modelNameLabel) modelNameLabel.textContent = model.name;\r\n    if (askModelNameLabel) askModelNameLabel.textContent = model.name;\r\n    if (pipelineModelBadge) pipelineModelBadge.textContent = `WebLLM (${model.name} via WebGPU)`;\r\n}\r\n\r\n/**\r\n * Handle clearing the model cache\r\n */\r\nasync function handleClearCache() {\r\n    const clearCacheBtn = document.getElementById('clearCacheBtn');\r\n    const statusText = document.getElementById('webllmStatusText');\r\n    const statusDiv = document.getElementById('webllmStatusDiv');\r\n    \r\n    if (!confirm('This will delete all cached WebLLM models from your browser storage. You will need to re-download models to use them again.\\n\\nContinue?')) {\r\n        return;\r\n    }\r\n    \r\n    clearCacheBtn.disabled = true;\r\n    clearCacheBtn.innerHTML = '<span class=\"spinner-border spinner-border-sm me-1\"></span>Clearing...';\r\n    \r\n    try {\r\n        const clearedCount = await clearModelCache();\r\n        \r\n        statusText.textContent = `Cache cleared! Removed ${clearedCount} item(s).`;\r\n        statusDiv.className = 'alert alert-info';\r\n        \r\n        // Reset UI\r\n        const loadBtn = document.getElementById('loadWebLLMBtn');\r\n        const unloadBtn = document.getElementById('unloadModelBtn');\r\n        const modelSelect = document.getElementById('modelSelect');\r\n        \r\n        if (loadBtn) {\r\n            const selectedModel = AVAILABLE_MODELS.find(m => m.id === modelSelect?.value) || AVAILABLE_MODELS[0];\r\n            loadBtn.className = 'btn btn-primary btn-sm';\r\n            loadBtn.innerHTML = `\r\n                <span id=\"loadWebLLMSpinner\" class=\"spinner-border spinner-border-sm me-1\" style=\"display:none;\"></span>\r\n                Load ${selectedModel.name}\r\n            `;\r\n            loadBtn.disabled = false;\r\n        }\r\n        \r\n        if (unloadBtn) {\r\n            unloadBtn.style.display = 'none';\r\n        }\r\n        \r\n        alert(`Successfully cleared ${clearedCount} cached item(s). You can now load a fresh model.`);\r\n        \r\n    } catch (err) {\r\n        console.error('Error clearing cache:', err);\r\n        statusText.textContent = `Error clearing cache: ${err.message}`;\r\n        statusDiv.className = 'alert alert-danger';\r\n    }\r\n    \r\n    clearCacheBtn.disabled = false;\r\n    clearCacheBtn.innerHTML = '<i class=\"fa fa-trash me-1\"></i>Clear Model Cache';\r\n}\r\n\r\n/**\r\n * Handle unloading the current model\r\n */\r\nasync function handleUnloadModel() {\r\n    const unloadBtn = document.getElementById('unloadModelBtn');\r\n    const loadBtn = document.getElementById('loadWebLLMBtn');\r\n    const statusText = document.getElementById('webllmStatusText');\r\n    const statusDiv = document.getElementById('webllmStatusDiv');\r\n    const modelSelect = document.getElementById('modelSelect');\r\n    \r\n    unloadBtn.disabled = true;\r\n    unloadBtn.textContent = 'Unloading...';\r\n    \r\n    try {\r\n        await unloadModel();\r\n        \r\n        statusText.textContent = 'Model unloaded. Select a model and click Load.';\r\n        statusDiv.className = 'alert alert-secondary';\r\n        \r\n        const selectedModel = AVAILABLE_MODELS.find(m => m.id === modelSelect?.value) || AVAILABLE_MODELS[0];\r\n        \r\n        if (loadBtn) {\r\n            loadBtn.className = 'btn btn-primary btn-sm';\r\n            loadBtn.innerHTML = `\r\n                <span id=\"loadWebLLMSpinner\" class=\"spinner-border spinner-border-sm me-1\" style=\"display:none;\"></span>\r\n                Load ${selectedModel.name}\r\n            `;\r\n            loadBtn.disabled = false;\r\n        }\r\n        \r\n        unloadBtn.style.display = 'none';\r\n        \r\n    } catch (err) {\r\n        console.error('Error unloading model:', err);\r\n        statusText.textContent = `Error unloading: ${err.message}`;\r\n    }\r\n    \r\n    unloadBtn.disabled = false;\r\n    unloadBtn.textContent = 'Unload Model';\r\n}\r\n\r\n/**\r\n * Handle loading the WebLLM model\r\n */\r\nasync function handleLoadWebLLM() {\r\n    const loadWebLLMBtn = document.getElementById('loadWebLLMBtn');\r\n    const loadWebLLMSpinner = document.getElementById('loadWebLLMSpinner');\r\n    const statusText = document.getElementById('webllmStatusText');\r\n    const progressDiv = document.getElementById('webllmProgressDiv');\r\n    const progressBar = document.getElementById('webllmProgressBar');\r\n    const progressText = document.getElementById('webllmProgressText');\r\n    const statusDiv = document.getElementById('webllmStatusDiv');\r\n    const modelSelect = document.getElementById('modelSelect');\r\n    const unloadBtn = document.getElementById('unloadModelBtn');\r\n    \r\n    // Get selected model\r\n    const selectedModelId = modelSelect?.value || DEFAULT_MODEL_ID;\r\n    const selectedModel = AVAILABLE_MODELS.find(m => m.id === selectedModelId) || AVAILABLE_MODELS[0];\r\n    \r\n    // If same model already loaded, return\r\n    if (modelLoaded && currentModelId === selectedModelId) {\r\n        statusText.textContent = `${selectedModel.name} already loaded!`;\r\n        return;\r\n    }\r\n    \r\n    // Check for WebGPU support\r\n    if (!navigator.gpu) {\r\n        statusText.textContent = 'WebGPU not supported in this browser';\r\n        statusDiv.className = 'alert alert-danger';\r\n        return;\r\n    }\r\n    \r\n    loadWebLLMBtn.disabled = true;\r\n    if (loadWebLLMSpinner) loadWebLLMSpinner.style.display = '';\r\n    statusText.textContent = 'Initializing WebGPU...';\r\n    progressDiv.style.display = '';\r\n    progressText.style.display = '';\r\n    statusDiv.className = 'alert alert-warning';\r\n    \r\n    // Disable model selection during loading\r\n    if (modelSelect) modelSelect.disabled = true;\r\n    \r\n    try {\r\n        await initModel(selectedModelId, (progress) => {\r\n            const pct = Math.round(progress.progress * 100);\r\n            progressBar.style.width = `${pct}%`;\r\n            progressBar.textContent = `${pct}%`;\r\n            statusText.textContent = `Loading ${selectedModel.name}...`;\r\n            progressText.textContent = progress.text;\r\n        });\r\n        \r\n        statusText.textContent = `${selectedModel.name} loaded and ready!`;\r\n        statusDiv.className = 'alert alert-success';\r\n        progressDiv.style.display = 'none';\r\n        progressText.style.display = 'none';\r\n        loadWebLLMBtn.innerHTML = `✓ ${selectedModel.name} Loaded`;\r\n        loadWebLLMBtn.className = 'btn btn-success btn-sm';\r\n        \r\n        // Show unload button\r\n        if (unloadBtn) unloadBtn.style.display = '';\r\n        \r\n        // Update model name labels\r\n        const modelNameLabel = document.getElementById('modelNameLabel');\r\n        const askModelNameLabel = document.getElementById('askModelNameLabel');\r\n        const responseModelName = document.getElementById('responseModelName');\r\n        const pipelineModelBadge = document.getElementById('pipelineModelBadge');\r\n        \r\n        if (modelNameLabel) modelNameLabel.textContent = selectedModel.name;\r\n        if (askModelNameLabel) askModelNameLabel.textContent = selectedModel.name;\r\n        if (responseModelName) responseModelName.textContent = selectedModel.name;\r\n        if (pipelineModelBadge) pipelineModelBadge.textContent = `WebLLM (${selectedModel.name} via WebGPU)`;\r\n        \r\n    } catch (err) {\r\n        console.error('Error loading WebLLM model:', err);\r\n        statusText.textContent = `Error loading ${selectedModel.name}: ${err.message}`;\r\n        statusDiv.className = 'alert alert-danger';\r\n        loadWebLLMBtn.disabled = false;\r\n        loadWebLLMBtn.innerHTML = `\r\n            <span id=\"loadWebLLMSpinner\" class=\"spinner-border spinner-border-sm me-1\" style=\"display:none;\"></span>\r\n            Load ${selectedModel.name}\r\n        `;\r\n    }\r\n    \r\n    if (loadWebLLMSpinner) loadWebLLMSpinner.style.display = 'none';\r\n    if (modelSelect) modelSelect.disabled = false;\r\n}\r\n\r\n/**\r\n * Handle asking WebLLM a question\r\n */\r\nasync function handleAskWebLLM() {\r\n    const questionInput = document.getElementById('webllmQuestionInput');\r\n    const askWebLLMBtn = document.getElementById('askWebLLMBtn');\r\n    const askWebLLMSpinner = document.getElementById('askWebLLMSpinner');\r\n    const responseDiv = document.getElementById('webllmResponseDiv');\r\n    const responseText = document.getElementById('webllmResponseText');\r\n    const clearResponseBtn = document.getElementById('clearWebLLMResponseBtn');\r\n    const streamingCheckbox = document.getElementById('streamingCheckbox');\r\n    \r\n    const currentModel = getCurrentModelInfo();\r\n    const modelName = currentModel?.name || 'the model';\r\n    \r\n    const question = questionInput?.value?.trim();\r\n    if (!question) {\r\n        alert('Please enter a question.');\r\n        return;\r\n    }\r\n    \r\n    if (!modelLoaded) {\r\n        alert(`Please load ${modelName} first.`);\r\n        return;\r\n    }\r\n    \r\n    askWebLLMBtn.disabled = true;\r\n    askWebLLMSpinner.style.display = '';\r\n    responseDiv.style.display = '';\r\n    responseText.innerHTML = '<div class=\"text-muted\"><em>Generating response...</em></div>';\r\n    \r\n    try {\r\n        const prsResults = window.prsResults ?? [];\r\n        const prompt = buildPRSPrompt(prsResults, question);\r\n        \r\n        // console.log('WebLLM Prompt:', prompt);\r\n        \r\n        if (streamingCheckbox?.checked) {\r\n            // Streaming response\r\n            responseText.innerHTML = '';\r\n            for await (const chunk of generateStreamingResponse(prompt)) {\r\n                responseText.innerHTML += chunk.replace(/\\n/g, '<br>');\r\n            }\r\n        } else {\r\n            // Non-streaming response\r\n            const response = await generateResponse(prompt);\r\n            // console.log('WebLLM Response:', response);\r\n            responseText.innerHTML = `<p>${response.replace(/\\n/g, '<br>')}</p>`;\r\n        }\r\n        \r\n        clearResponseBtn.style.display = '';\r\n        \r\n    } catch (err) {\r\n        console.error('Error generating WebLLM response:', err);\r\n        responseText.innerHTML = `<div class=\"alert alert-danger\">Error: ${err.message}</div>`;\r\n    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