diff --git a/7.2/404.html b/7.2/404.html deleted file mode 100755 index 723e09dc..00000000 --- a/7.2/404.html +++ /dev/null @@ -1,1861 +0,0 @@ - - - - - - - - - - - - - - - - jsPsych - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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- - - - - - - - \ No newline at end of file diff --git a/7.2/CNAME b/7.2/CNAME deleted file mode 100755 index 85414296..00000000 --- a/7.2/CNAME +++ /dev/null @@ -1 +0,0 @@ -www.jspsych.org diff --git a/7.2/about/about/index.html b/7.2/about/about/index.html deleted file mode 100755 index 6b7b7295..00000000 --- a/7.2/about/about/index.html +++ /dev/null @@ -1,1976 +0,0 @@ - - - - - - - - - - - - - - - - - - About jsPsych - jsPsych - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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About jsPsych

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jsPsych is open source project with numerous contributors. The project is currently managed by the core team of Josh de Leeuw (@jodeleeuw), Becky Gilbert (@becky-gilbert), and Björn Luchterhandt (@bjoluc).

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jsPsych was created by Josh de Leeuw .

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Citation

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If you use jsPsych please cite the following paper.

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de Leeuw, J. R. (2015). jsPsych: A JavaScript library for creating behavioral experiments in a web browser. Behavior Research Methods, 47(1), 1-12. doi:10.3758/s13428-014-0458-y.

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License

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jsPsych is licensed under the MIT license.

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The MIT License (MIT)
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-Copyright (c) 2014-2022 Joshua R. de Leeuw
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-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
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-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
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-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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-SOFTWARE.
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strict';\n\n /**\n * Applies the :focus-visible polyfill at the given scope.\n * A scope in this case is either the top-level Document or a Shadow Root.\n *\n * @param {(Document|ShadowRoot)} scope\n * @see https://github.com/WICG/focus-visible\n */\n function applyFocusVisiblePolyfill(scope) {\n var hadKeyboardEvent = true;\n var hadFocusVisibleRecently = false;\n var hadFocusVisibleRecentlyTimeout = null;\n\n var inputTypesAllowlist = {\n text: true,\n search: true,\n url: true,\n tel: true,\n email: true,\n password: true,\n number: true,\n date: true,\n month: true,\n week: true,\n time: true,\n datetime: true,\n 'datetime-local': true\n };\n\n /**\n * Helper function for legacy browsers and iframes which sometimes focus\n * elements like document, body, and non-interactive SVG.\n * @param {Element} el\n */\n function isValidFocusTarget(el) {\n if (\n el &&\n el !== document &&\n el.nodeName !== 'HTML' &&\n el.nodeName !== 'BODY' &&\n 'classList' in el &&\n 'contains' in el.classList\n ) {\n return true;\n }\n return false;\n }\n\n /**\n * Computes whether the given element should automatically trigger the\n * `focus-visible` class being added, i.e. whether it should always match\n * `:focus-visible` when focused.\n * @param {Element} el\n * @return {boolean}\n */\n function focusTriggersKeyboardModality(el) {\n var type = el.type;\n var tagName = el.tagName;\n\n if (tagName === 'INPUT' && inputTypesAllowlist[type] && !el.readOnly) {\n return true;\n }\n\n if (tagName === 'TEXTAREA' && !el.readOnly) {\n return true;\n }\n\n if (el.isContentEditable) {\n return true;\n }\n\n return false;\n }\n\n /**\n * Add the `focus-visible` class to the given element if it was not added by\n * the author.\n * @param {Element} el\n */\n function addFocusVisibleClass(el) {\n if (el.classList.contains('focus-visible')) {\n return;\n }\n el.classList.add('focus-visible');\n el.setAttribute('data-focus-visible-added', '');\n }\n\n /**\n * Remove the `focus-visible` class from the given element if it was not\n * originally added by the author.\n * @param {Element} el\n */\n function removeFocusVisibleClass(el) {\n if (!el.hasAttribute('data-focus-visible-added')) {\n return;\n }\n el.classList.remove('focus-visible');\n el.removeAttribute('data-focus-visible-added');\n }\n\n /**\n * If the most recent user interaction was via the keyboard;\n * and the key press did not include a meta, alt/option, or control key;\n * then the modality is keyboard. Otherwise, the modality is not keyboard.\n * Apply `focus-visible` to any current active element and keep track\n * of our keyboard modality state with `hadKeyboardEvent`.\n * @param {KeyboardEvent} e\n */\n function onKeyDown(e) {\n if (e.metaKey || e.altKey || e.ctrlKey) {\n return;\n }\n\n if (isValidFocusTarget(scope.activeElement)) {\n addFocusVisibleClass(scope.activeElement);\n }\n\n hadKeyboardEvent = true;\n }\n\n /**\n * If at any point a user clicks with a pointing device, ensure that we change\n * the modality away from keyboard.\n * This avoids the situation where a user presses a key on an already focused\n * element, and then clicks on a different element, focusing it with a\n * pointing device, while we still think we're in keyboard modality.\n * @param {Event} e\n */\n function onPointerDown(e) {\n hadKeyboardEvent = false;\n }\n\n /**\n * On `focus`, add the `focus-visible` class to the target if:\n * - the target received focus as a result of keyboard navigation, or\n * - the event target is an element that will likely require interaction\n * via the keyboard (e.g. a text box)\n * @param {Event} e\n */\n function onFocus(e) {\n // Prevent IE from focusing the document or HTML element.\n if (!isValidFocusTarget(e.target)) {\n return;\n }\n\n if (hadKeyboardEvent || focusTriggersKeyboardModality(e.target)) {\n addFocusVisibleClass(e.target);\n }\n }\n\n /**\n * On `blur`, remove the `focus-visible` class from the target.\n * @param {Event} e\n */\n function onBlur(e) {\n if (!isValidFocusTarget(e.target)) {\n return;\n }\n\n if (\n e.target.classList.contains('focus-visible') ||\n e.target.hasAttribute('data-focus-visible-added')\n ) {\n // To detect a tab/window switch, we look for a blur event followed\n // rapidly by a visibility change.\n // If we don't see a visibility change within 100ms, it's probably a\n // regular focus change.\n hadFocusVisibleRecently = true;\n window.clearTimeout(hadFocusVisibleRecentlyTimeout);\n hadFocusVisibleRecentlyTimeout = window.setTimeout(function() {\n hadFocusVisibleRecently = false;\n }, 100);\n removeFocusVisibleClass(e.target);\n }\n }\n\n /**\n * If the user changes tabs, keep track of whether or not the previously\n * focused element had .focus-visible.\n * @param {Event} e\n */\n function onVisibilityChange(e) {\n if (document.visibilityState === 'hidden') {\n // If the tab becomes active again, the browser will handle calling focus\n // on the element (Safari actually calls it twice).\n // If this tab change caused a blur on an element with focus-visible,\n // re-apply the class when the user switches back to the tab.\n if (hadFocusVisibleRecently) {\n hadKeyboardEvent = true;\n }\n addInitialPointerMoveListeners();\n }\n }\n\n /**\n * Add a group of listeners to detect usage of any pointing devices.\n * These listeners will be added when the polyfill first loads, and anytime\n * the window is blurred, so that they are active when the window regains\n * focus.\n */\n function addInitialPointerMoveListeners() {\n document.addEventListener('mousemove', onInitialPointerMove);\n document.addEventListener('mousedown', onInitialPointerMove);\n document.addEventListener('mouseup', onInitialPointerMove);\n document.addEventListener('pointermove', onInitialPointerMove);\n document.addEventListener('pointerdown', onInitialPointerMove);\n document.addEventListener('pointerup', onInitialPointerMove);\n document.addEventListener('touchmove', onInitialPointerMove);\n document.addEventListener('touchstart', onInitialPointerMove);\n document.addEventListener('touchend', onInitialPointerMove);\n }\n\n function removeInitialPointerMoveListeners() {\n document.removeEventListener('mousemove', onInitialPointerMove);\n document.removeEventListener('mousedown', onInitialPointerMove);\n document.removeEventListener('mouseup', onInitialPointerMove);\n document.removeEventListener('pointermove', onInitialPointerMove);\n document.removeEventListener('pointerdown', onInitialPointerMove);\n document.removeEventListener('pointerup', onInitialPointerMove);\n document.removeEventListener('touchmove', onInitialPointerMove);\n document.removeEventListener('touchstart', onInitialPointerMove);\n document.removeEventListener('touchend', onInitialPointerMove);\n }\n\n /**\n * When the polfyill first loads, assume the user is in keyboard modality.\n * If any event is received from a pointing device (e.g. mouse, pointer,\n * touch), turn off keyboard modality.\n * This accounts for situations where focus enters the page from the URL bar.\n * @param {Event} e\n */\n function onInitialPointerMove(e) {\n // Work around a Safari quirk that fires a mousemove on whenever the\n // window blurs, even if you're tabbing out of the page. \u00AF\\_(\u30C4)_/\u00AF\n if (e.target.nodeName && e.target.nodeName.toLowerCase() === 'html') {\n return;\n }\n\n hadKeyboardEvent = false;\n removeInitialPointerMoveListeners();\n }\n\n // For some kinds of state, we are interested in changes at the global scope\n // only. For example, global pointer input, global key presses and global\n // visibility change should affect the state at every scope:\n document.addEventListener('keydown', onKeyDown, true);\n document.addEventListener('mousedown', onPointerDown, true);\n document.addEventListener('pointerdown', onPointerDown, true);\n document.addEventListener('touchstart', onPointerDown, true);\n document.addEventListener('visibilitychange', onVisibilityChange, true);\n\n addInitialPointerMoveListeners();\n\n // For focus and blur, we specifically care about state changes in the local\n // scope. This is because focus / blur events that originate from within a\n // shadow root are not re-dispatched from the host element if it was already\n // the active element in its own scope:\n scope.addEventListener('focus', onFocus, true);\n scope.addEventListener('blur', onBlur, true);\n\n // We detect that a node is a ShadowRoot by ensuring that it is a\n // DocumentFragment and also has a host property. This check covers native\n // implementation and polyfill implementation transparently. If we only cared\n // about the native implementation, we could just check if the scope was\n // an instance of a ShadowRoot.\n if (scope.nodeType === Node.DOCUMENT_FRAGMENT_NODE && scope.host) {\n // Since a ShadowRoot is a special kind of DocumentFragment, it does not\n // have a root element to add a class to. So, we add this attribute to the\n // host element instead:\n scope.host.setAttribute('data-js-focus-visible', '');\n } else if (scope.nodeType === Node.DOCUMENT_NODE) {\n document.documentElement.classList.add('js-focus-visible');\n document.documentElement.setAttribute('data-js-focus-visible', '');\n }\n }\n\n // It is important to wrap all references to global window and document in\n // these checks to support server-side rendering use cases\n // @see https://github.com/WICG/focus-visible/issues/199\n if (typeof window !== 'undefined' && typeof document !== 'undefined') {\n // Make the polyfill helper globally available. This can be used as a signal\n // to interested libraries that wish to coordinate with the polyfill for e.g.,\n // applying the polyfill to a shadow root:\n window.applyFocusVisiblePolyfill = applyFocusVisiblePolyfill;\n\n // Notify interested libraries of the polyfill's presence, in case the\n // polyfill was loaded lazily:\n var event;\n\n try {\n event = new CustomEvent('focus-visible-polyfill-ready');\n } catch (error) {\n // IE11 does not support using CustomEvent as a constructor directly:\n event = document.createEvent('CustomEvent');\n event.initCustomEvent('focus-visible-polyfill-ready', false, false, {});\n }\n\n window.dispatchEvent(event);\n }\n\n if (typeof document !== 'undefined') {\n // Apply the polyfill to the global document, so that no JavaScript\n // coordination is required to use the polyfill in the top-level document:\n applyFocusVisiblePolyfill(document);\n }\n\n})));\n", "(function(global) {\r\n /**\r\n * Polyfill URLSearchParams\r\n *\r\n * Inspired from : https://github.com/WebReflection/url-search-params/blob/master/src/url-search-params.js\r\n */\r\n\r\n var checkIfIteratorIsSupported = function() {\r\n try {\r\n return !!Symbol.iterator;\r\n } catch (error) {\r\n return false;\r\n }\r\n };\r\n\r\n\r\n var iteratorSupported = checkIfIteratorIsSupported();\r\n\r\n var createIterator = function(items) {\r\n var iterator = {\r\n next: function() {\r\n var value = items.shift();\r\n return { done: value === void 0, value: value };\r\n }\r\n };\r\n\r\n if (iteratorSupported) {\r\n iterator[Symbol.iterator] = function() {\r\n return iterator;\r\n };\r\n }\r\n\r\n return iterator;\r\n };\r\n\r\n /**\r\n * Search param name and values should be encoded according to https://url.spec.whatwg.org/#urlencoded-serializing\r\n * encodeURIComponent() produces the same result except encoding spaces as `%20` instead of `+`.\r\n */\r\n var serializeParam = function(value) {\r\n return encodeURIComponent(value).replace(/%20/g, '+');\r\n };\r\n\r\n var deserializeParam = function(value) {\r\n return decodeURIComponent(String(value).replace(/\\+/g, ' '));\r\n };\r\n\r\n var polyfillURLSearchParams = function() {\r\n\r\n var URLSearchParams = function(searchString) {\r\n Object.defineProperty(this, '_entries', { writable: true, value: {} });\r\n var typeofSearchString = typeof searchString;\r\n\r\n if (typeofSearchString === 'undefined') {\r\n // do nothing\r\n } else if (typeofSearchString === 'string') {\r\n if (searchString !== '') {\r\n this._fromString(searchString);\r\n }\r\n } else if (searchString instanceof URLSearchParams) {\r\n var _this = this;\r\n searchString.forEach(function(value, name) {\r\n _this.append(name, value);\r\n });\r\n } else if ((searchString !== null) && (typeofSearchString === 'object')) {\r\n if (Object.prototype.toString.call(searchString) === '[object Array]') {\r\n for (var i = 0; i < searchString.length; i++) {\r\n var entry = searchString[i];\r\n if ((Object.prototype.toString.call(entry) === '[object Array]') || (entry.length !== 2)) {\r\n this.append(entry[0], entry[1]);\r\n } else {\r\n throw new TypeError('Expected [string, any] as entry at index ' + i + ' of URLSearchParams\\'s input');\r\n }\r\n }\r\n } else {\r\n for (var key in searchString) {\r\n if (searchString.hasOwnProperty(key)) {\r\n this.append(key, searchString[key]);\r\n }\r\n }\r\n }\r\n } else {\r\n throw new TypeError('Unsupported input\\'s type for URLSearchParams');\r\n }\r\n };\r\n\r\n var proto = URLSearchParams.prototype;\r\n\r\n proto.append = function(name, value) {\r\n if (name in this._entries) {\r\n this._entries[name].push(String(value));\r\n } else {\r\n this._entries[name] = [String(value)];\r\n }\r\n };\r\n\r\n proto.delete = function(name) {\r\n delete this._entries[name];\r\n };\r\n\r\n proto.get = function(name) {\r\n return (name in this._entries) ? this._entries[name][0] : null;\r\n };\r\n\r\n proto.getAll = function(name) {\r\n return (name in this._entries) ? this._entries[name].slice(0) : [];\r\n };\r\n\r\n proto.has = function(name) {\r\n return (name in this._entries);\r\n };\r\n\r\n proto.set = function(name, value) {\r\n this._entries[name] = [String(value)];\r\n };\r\n\r\n proto.forEach = function(callback, thisArg) {\r\n var entries;\r\n for (var name in this._entries) {\r\n if (this._entries.hasOwnProperty(name)) {\r\n entries = this._entries[name];\r\n for (var i = 0; i < entries.length; i++) {\r\n callback.call(thisArg, entries[i], name, this);\r\n }\r\n }\r\n }\r\n };\r\n\r\n proto.keys = function() {\r\n var items = [];\r\n this.forEach(function(value, name) {\r\n items.push(name);\r\n });\r\n return createIterator(items);\r\n };\r\n\r\n proto.values = function() {\r\n var items = [];\r\n this.forEach(function(value) {\r\n items.push(value);\r\n });\r\n return createIterator(items);\r\n };\r\n\r\n proto.entries = function() {\r\n var items = [];\r\n this.forEach(function(value, name) {\r\n items.push([name, value]);\r\n });\r\n return createIterator(items);\r\n };\r\n\r\n if (iteratorSupported) {\r\n proto[Symbol.iterator] = proto.entries;\r\n }\r\n\r\n proto.toString = function() {\r\n var searchArray = [];\r\n this.forEach(function(value, name) {\r\n searchArray.push(serializeParam(name) + '=' + serializeParam(value));\r\n });\r\n return searchArray.join('&');\r\n };\r\n\r\n\r\n global.URLSearchParams = URLSearchParams;\r\n };\r\n\r\n var checkIfURLSearchParamsSupported = function() {\r\n try {\r\n var URLSearchParams = global.URLSearchParams;\r\n\r\n return (\r\n (new URLSearchParams('?a=1').toString() === 'a=1') &&\r\n (typeof URLSearchParams.prototype.set === 'function') &&\r\n (typeof URLSearchParams.prototype.entries === 'function')\r\n );\r\n } catch (e) {\r\n return false;\r\n }\r\n };\r\n\r\n if (!checkIfURLSearchParamsSupported()) {\r\n polyfillURLSearchParams();\r\n }\r\n\r\n var proto = global.URLSearchParams.prototype;\r\n\r\n if (typeof proto.sort !== 'function') {\r\n proto.sort = function() {\r\n var _this = this;\r\n var items = [];\r\n this.forEach(function(value, name) {\r\n items.push([name, value]);\r\n if (!_this._entries) {\r\n _this.delete(name);\r\n }\r\n });\r\n items.sort(function(a, b) {\r\n if (a[0] < b[0]) {\r\n return -1;\r\n } else if (a[0] > b[0]) {\r\n return +1;\r\n } else {\r\n return 0;\r\n }\r\n });\r\n if (_this._entries) { // force reset because IE keeps keys index\r\n _this._entries = {};\r\n }\r\n for (var i = 0; i < items.length; i++) {\r\n this.append(items[i][0], items[i][1]);\r\n }\r\n };\r\n }\r\n\r\n if (typeof proto._fromString !== 'function') {\r\n Object.defineProperty(proto, '_fromString', {\r\n enumerable: false,\r\n configurable: false,\r\n writable: false,\r\n value: function(searchString) {\r\n if (this._entries) {\r\n this._entries = {};\r\n } else {\r\n var keys = [];\r\n this.forEach(function(value, name) {\r\n keys.push(name);\r\n });\r\n for (var i = 0; i < keys.length; i++) {\r\n this.delete(keys[i]);\r\n }\r\n }\r\n\r\n searchString = searchString.replace(/^\\?/, '');\r\n var attributes = searchString.split('&');\r\n var attribute;\r\n for (var i = 0; i < attributes.length; i++) {\r\n attribute = attributes[i].split('=');\r\n this.append(\r\n deserializeParam(attribute[0]),\r\n (attribute.length > 1) ? deserializeParam(attribute[1]) : ''\r\n );\r\n }\r\n }\r\n });\r\n }\r\n\r\n // HTMLAnchorElement\r\n\r\n})(\r\n (typeof global !== 'undefined') ? global\r\n : ((typeof window !== 'undefined') ? window\r\n : ((typeof self !== 'undefined') ? self : this))\r\n);\r\n\r\n(function(global) {\r\n /**\r\n * Polyfill URL\r\n *\r\n * Inspired from : https://github.com/arv/DOM-URL-Polyfill/blob/master/src/url.js\r\n */\r\n\r\n var checkIfURLIsSupported = function() {\r\n try {\r\n var u = new global.URL('b', 'http://a');\r\n u.pathname = 'c d';\r\n return (u.href === 'http://a/c%20d') && u.searchParams;\r\n } catch (e) {\r\n return false;\r\n }\r\n };\r\n\r\n\r\n var polyfillURL = function() {\r\n var _URL = global.URL;\r\n\r\n var URL = function(url, base) {\r\n if (typeof url !== 'string') url = String(url);\r\n if (base && typeof base !== 'string') base = String(base);\r\n\r\n // Only create another document if the base is different from current location.\r\n var doc = document, baseElement;\r\n if (base && (global.location === void 0 || base !== global.location.href)) {\r\n base = base.toLowerCase();\r\n doc = document.implementation.createHTMLDocument('');\r\n baseElement = doc.createElement('base');\r\n baseElement.href = base;\r\n doc.head.appendChild(baseElement);\r\n try {\r\n if (baseElement.href.indexOf(base) !== 0) throw new Error(baseElement.href);\r\n } catch (err) {\r\n throw new Error('URL unable to set base ' + base + ' due to ' + err);\r\n }\r\n }\r\n\r\n var anchorElement = doc.createElement('a');\r\n anchorElement.href = url;\r\n if (baseElement) {\r\n doc.body.appendChild(anchorElement);\r\n anchorElement.href = anchorElement.href; // force href to refresh\r\n }\r\n\r\n var inputElement = doc.createElement('input');\r\n inputElement.type = 'url';\r\n inputElement.value = url;\r\n\r\n if (anchorElement.protocol === ':' || !/:/.test(anchorElement.href) || (!inputElement.checkValidity() && !base)) {\r\n throw new TypeError('Invalid URL');\r\n }\r\n\r\n Object.defineProperty(this, '_anchorElement', {\r\n value: anchorElement\r\n });\r\n\r\n\r\n // create a linked searchParams which reflect its changes on URL\r\n var searchParams = new global.URLSearchParams(this.search);\r\n var enableSearchUpdate = true;\r\n var enableSearchParamsUpdate = true;\r\n var _this = this;\r\n ['append', 'delete', 'set'].forEach(function(methodName) {\r\n var method = searchParams[methodName];\r\n searchParams[methodName] = function() {\r\n method.apply(searchParams, arguments);\r\n if (enableSearchUpdate) {\r\n enableSearchParamsUpdate = false;\r\n _this.search = searchParams.toString();\r\n enableSearchParamsUpdate = true;\r\n }\r\n };\r\n });\r\n\r\n Object.defineProperty(this, 'searchParams', {\r\n value: searchParams,\r\n enumerable: true\r\n });\r\n\r\n var search = void 0;\r\n Object.defineProperty(this, '_updateSearchParams', {\r\n enumerable: false,\r\n configurable: false,\r\n writable: false,\r\n value: function() {\r\n if (this.search !== search) {\r\n search = this.search;\r\n if (enableSearchParamsUpdate) {\r\n enableSearchUpdate = false;\r\n this.searchParams._fromString(this.search);\r\n enableSearchUpdate = true;\r\n }\r\n }\r\n }\r\n });\r\n };\r\n\r\n var proto = URL.prototype;\r\n\r\n var linkURLWithAnchorAttribute = function(attributeName) {\r\n Object.defineProperty(proto, attributeName, {\r\n get: function() {\r\n return this._anchorElement[attributeName];\r\n },\r\n set: function(value) {\r\n this._anchorElement[attributeName] = value;\r\n },\r\n enumerable: true\r\n });\r\n };\r\n\r\n ['hash', 'host', 'hostname', 'port', 'protocol']\r\n .forEach(function(attributeName) {\r\n linkURLWithAnchorAttribute(attributeName);\r\n });\r\n\r\n Object.defineProperty(proto, 'search', {\r\n get: function() {\r\n return this._anchorElement['search'];\r\n },\r\n set: function(value) {\r\n this._anchorElement['search'] = value;\r\n this._updateSearchParams();\r\n },\r\n enumerable: true\r\n });\r\n\r\n Object.defineProperties(proto, {\r\n\r\n 'toString': {\r\n get: function() {\r\n var _this = this;\r\n return function() {\r\n return _this.href;\r\n };\r\n }\r\n },\r\n\r\n 'href': {\r\n get: function() {\r\n return this._anchorElement.href.replace(/\\?$/, '');\r\n },\r\n set: function(value) {\r\n this._anchorElement.href = value;\r\n this._updateSearchParams();\r\n },\r\n enumerable: true\r\n },\r\n\r\n 'pathname': {\r\n get: function() {\r\n return this._anchorElement.pathname.replace(/(^\\/?)/, '/');\r\n },\r\n set: function(value) {\r\n this._anchorElement.pathname = value;\r\n },\r\n enumerable: true\r\n },\r\n\r\n 'origin': {\r\n get: function() {\r\n // get expected port from protocol\r\n var expectedPort = { 'http:': 80, 'https:': 443, 'ftp:': 21 }[this._anchorElement.protocol];\r\n // add port to origin if, expected port is different than actual port\r\n // and it is not empty f.e http://foo:8080\r\n // 8080 != 80 && 8080 != ''\r\n var addPortToOrigin = this._anchorElement.port != expectedPort &&\r\n this._anchorElement.port !== '';\r\n\r\n return this._anchorElement.protocol +\r\n '//' +\r\n this._anchorElement.hostname +\r\n (addPortToOrigin ? (':' + this._anchorElement.port) : '');\r\n },\r\n enumerable: true\r\n },\r\n\r\n 'password': { // TODO\r\n get: function() {\r\n return '';\r\n },\r\n set: function(value) {\r\n },\r\n enumerable: true\r\n },\r\n\r\n 'username': { // TODO\r\n get: function() {\r\n return '';\r\n },\r\n set: function(value) {\r\n },\r\n enumerable: true\r\n },\r\n });\r\n\r\n URL.createObjectURL = function(blob) {\r\n return _URL.createObjectURL.apply(_URL, arguments);\r\n };\r\n\r\n URL.revokeObjectURL = function(url) {\r\n return _URL.revokeObjectURL.apply(_URL, arguments);\r\n };\r\n\r\n global.URL = URL;\r\n\r\n };\r\n\r\n if (!checkIfURLIsSupported()) {\r\n polyfillURL();\r\n }\r\n\r\n if ((global.location !== void 0) && !('origin' in global.location)) {\r\n var getOrigin = function() {\r\n return global.location.protocol + '//' + global.location.hostname + (global.location.port ? 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'copy' : _options$action,\n container = options.container,\n target = options.target,\n text = options.text; // Sets the `action` to be performed which can be either 'copy' or 'cut'.\n\n if (action !== 'copy' && action !== 'cut') {\n throw new Error('Invalid \"action\" value, use either \"copy\" or \"cut\"');\n } // Sets the `target` property using an element that will be have its content copied.\n\n\n if (target !== undefined) {\n if (target && _typeof(target) === 'object' && target.nodeType === 1) {\n if (action === 'copy' && target.hasAttribute('disabled')) {\n throw new Error('Invalid \"target\" attribute. Please use \"readonly\" instead of \"disabled\" attribute');\n }\n\n if (action === 'cut' && (target.hasAttribute('readonly') || target.hasAttribute('disabled'))) {\n throw new Error('Invalid \"target\" attribute. You can\\'t cut text from elements with \"readonly\" or \"disabled\" attributes');\n }\n } else {\n throw new Error('Invalid \"target\" value, use a valid Element');\n }\n } // Define selection strategy based on `text` property.\n\n\n if (text) {\n return actions_copy(text, {\n container: container\n });\n } // Defines which selection strategy based on `target` property.\n\n\n if (target) {\n return action === 'cut' ? actions_cut(target) : actions_copy(target, {\n container: container\n });\n }\n};\n\n/* harmony default export */ var actions_default = (ClipboardActionDefault);\n;// CONCATENATED MODULE: ./src/clipboard.js\nfunction clipboard_typeof(obj) { \"@babel/helpers - typeof\"; if (typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\") { clipboard_typeof = function _typeof(obj) { return typeof obj; }; } else { clipboard_typeof = function _typeof(obj) { return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj; }; } return clipboard_typeof(obj); }\n\nfunction _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError(\"Cannot call a class as a function\"); } }\n\nfunction _defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if (\"value\" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } }\n\nfunction _createClass(Constructor, protoProps, staticProps) { if (protoProps) _defineProperties(Constructor.prototype, protoProps); if (staticProps) _defineProperties(Constructor, staticProps); return Constructor; }\n\nfunction _inherits(subClass, superClass) { if (typeof superClass !== \"function\" && superClass !== null) { throw new TypeError(\"Super expression must either be null or a function\"); } subClass.prototype = Object.create(superClass && superClass.prototype, { constructor: { value: subClass, writable: true, configurable: true } }); if (superClass) _setPrototypeOf(subClass, superClass); }\n\nfunction _setPrototypeOf(o, p) { _setPrototypeOf = Object.setPrototypeOf || function _setPrototypeOf(o, p) { o.__proto__ = p; return o; }; return _setPrototypeOf(o, p); }\n\nfunction _createSuper(Derived) { var hasNativeReflectConstruct = _isNativeReflectConstruct(); return function _createSuperInternal() { var Super = _getPrototypeOf(Derived), result; if (hasNativeReflectConstruct) { var NewTarget = _getPrototypeOf(this).constructor; result = Reflect.construct(Super, arguments, NewTarget); } else { result = Super.apply(this, arguments); } return _possibleConstructorReturn(this, result); }; }\n\nfunction _possibleConstructorReturn(self, call) { if (call && (clipboard_typeof(call) === \"object\" || typeof call === \"function\")) { return call; } return _assertThisInitialized(self); }\n\nfunction _assertThisInitialized(self) { if (self === void 0) { throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\"); } return self; }\n\nfunction _isNativeReflectConstruct() { if (typeof Reflect === \"undefined\" || !Reflect.construct) return false; if (Reflect.construct.sham) return false; if (typeof Proxy === \"function\") return true; try { Date.prototype.toString.call(Reflect.construct(Date, [], function () {})); return true; } catch (e) { return false; } }\n\nfunction _getPrototypeOf(o) { _getPrototypeOf = Object.setPrototypeOf ? Object.getPrototypeOf : function _getPrototypeOf(o) { return o.__proto__ || Object.getPrototypeOf(o); }; return _getPrototypeOf(o); }\n\n\n\n\n\n\n/**\n * Helper function to retrieve attribute value.\n * @param {String} suffix\n * @param {Element} element\n */\n\nfunction getAttributeValue(suffix, element) {\n var attribute = \"data-clipboard-\".concat(suffix);\n\n if (!element.hasAttribute(attribute)) {\n return;\n }\n\n return element.getAttribute(attribute);\n}\n/**\n * Base class which takes one or more elements, adds event listeners to them,\n * and instantiates a new `ClipboardAction` on each click.\n */\n\n\nvar Clipboard = /*#__PURE__*/function (_Emitter) {\n _inherits(Clipboard, _Emitter);\n\n var _super = _createSuper(Clipboard);\n\n /**\n * @param {String|HTMLElement|HTMLCollection|NodeList} trigger\n * @param {Object} options\n */\n function Clipboard(trigger, options) {\n var _this;\n\n _classCallCheck(this, Clipboard);\n\n _this = _super.call(this);\n\n _this.resolveOptions(options);\n\n _this.listenClick(trigger);\n\n return _this;\n }\n /**\n * Defines if attributes would be resolved using internal setter functions\n * or custom functions that were passed in the constructor.\n * @param {Object} options\n */\n\n\n _createClass(Clipboard, [{\n key: \"resolveOptions\",\n value: function resolveOptions() {\n var options = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n this.action = typeof options.action === 'function' ? options.action : this.defaultAction;\n this.target = typeof options.target === 'function' ? options.target : this.defaultTarget;\n this.text = typeof options.text === 'function' ? options.text : this.defaultText;\n this.container = clipboard_typeof(options.container) === 'object' ? options.container : document.body;\n }\n /**\n * Adds a click event listener to the passed trigger.\n * @param {String|HTMLElement|HTMLCollection|NodeList} trigger\n */\n\n }, {\n key: \"listenClick\",\n value: function listenClick(trigger) {\n var _this2 = this;\n\n this.listener = listen_default()(trigger, 'click', function (e) {\n return _this2.onClick(e);\n });\n }\n /**\n * Defines a new `ClipboardAction` on each click event.\n * @param {Event} e\n */\n\n }, {\n key: \"onClick\",\n value: function onClick(e) {\n var trigger = e.delegateTarget || e.currentTarget;\n var action = this.action(trigger) || 'copy';\n var text = actions_default({\n action: action,\n container: this.container,\n target: this.target(trigger),\n text: this.text(trigger)\n }); // Fires an event based on the copy operation result.\n\n this.emit(text ? 'success' : 'error', {\n action: action,\n text: text,\n trigger: trigger,\n clearSelection: function clearSelection() {\n if (trigger) {\n trigger.focus();\n }\n\n window.getSelection().removeAllRanges();\n }\n });\n }\n /**\n * Default `action` lookup function.\n * @param {Element} trigger\n */\n\n }, {\n key: \"defaultAction\",\n value: function defaultAction(trigger) {\n return getAttributeValue('action', trigger);\n }\n /**\n * Default `target` lookup function.\n * @param {Element} trigger\n */\n\n }, {\n key: \"defaultTarget\",\n value: function defaultTarget(trigger) {\n var selector = getAttributeValue('target', trigger);\n\n if (selector) {\n return document.querySelector(selector);\n }\n }\n /**\n * Allow fire programmatically a copy action\n * @param {String|HTMLElement} target\n * @param {Object} options\n * @returns Text copied.\n */\n\n }, {\n key: \"defaultText\",\n\n /**\n * Default `text` lookup function.\n * @param {Element} trigger\n */\n value: function defaultText(trigger) {\n return getAttributeValue('text', trigger);\n }\n /**\n * Destroy lifecycle.\n */\n\n }, {\n key: \"destroy\",\n value: function destroy() {\n this.listener.destroy();\n }\n }], [{\n key: \"copy\",\n value: function copy(target) {\n var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {\n container: document.body\n };\n return actions_copy(target, options);\n }\n /**\n * Allow fire programmatically a cut action\n * @param {String|HTMLElement} target\n * @returns Text cutted.\n */\n\n }, {\n key: \"cut\",\n value: function cut(target) {\n return actions_cut(target);\n }\n /**\n * Returns the support of the given action, or all actions if no action is\n * given.\n * @param {String} [action]\n */\n\n }, {\n key: \"isSupported\",\n value: function isSupported() {\n var action = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : ['copy', 'cut'];\n var actions = typeof action === 'string' ? [action] : action;\n var support = !!document.queryCommandSupported;\n actions.forEach(function (action) {\n support = support && !!document.queryCommandSupported(action);\n });\n return support;\n }\n }]);\n\n return Clipboard;\n}((tiny_emitter_default()));\n\n/* harmony default export */ var clipboard = (Clipboard);\n\n/***/ }),\n\n/***/ 828:\n/***/ (function(module) {\n\nvar DOCUMENT_NODE_TYPE = 9;\n\n/**\n * A polyfill for Element.matches()\n */\nif (typeof Element !== 'undefined' && !Element.prototype.matches) {\n var proto = Element.prototype;\n\n proto.matches = proto.matchesSelector ||\n proto.mozMatchesSelector ||\n proto.msMatchesSelector ||\n proto.oMatchesSelector ||\n proto.webkitMatchesSelector;\n}\n\n/**\n * Finds the closest parent that matches a selector.\n *\n * @param {Element} element\n * @param {String} selector\n * @return {Function}\n */\nfunction closest (element, selector) {\n while (element && element.nodeType !== DOCUMENT_NODE_TYPE) {\n if (typeof element.matches === 'function' &&\n element.matches(selector)) {\n return element;\n }\n element = element.parentNode;\n }\n}\n\nmodule.exports = closest;\n\n\n/***/ }),\n\n/***/ 438:\n/***/ (function(module, __unused_webpack_exports, __webpack_require__) {\n\nvar closest = __webpack_require__(828);\n\n/**\n * Delegates event to a selector.\n *\n * @param {Element} element\n * @param {String} selector\n * @param {String} type\n * @param {Function} callback\n * @param {Boolean} useCapture\n * @return {Object}\n */\nfunction _delegate(element, selector, type, callback, useCapture) {\n var listenerFn = listener.apply(this, arguments);\n\n element.addEventListener(type, listenerFn, useCapture);\n\n return {\n destroy: function() {\n element.removeEventListener(type, listenerFn, useCapture);\n }\n }\n}\n\n/**\n * Delegates event to a selector.\n *\n * @param {Element|String|Array} [elements]\n * @param {String} selector\n * @param {String} type\n * @param {Function} callback\n * @param {Boolean} useCapture\n * @return {Object}\n */\nfunction delegate(elements, selector, type, callback, useCapture) {\n // Handle the regular Element usage\n if (typeof elements.addEventListener === 'function') {\n return _delegate.apply(null, arguments);\n }\n\n // Handle Element-less usage, it defaults to global delegation\n if (typeof type === 'function') {\n // Use `document` as the first parameter, then apply arguments\n // This is a short way to .unshift `arguments` without running into deoptimizations\n return _delegate.bind(null, document).apply(null, arguments);\n }\n\n // Handle Selector-based usage\n if (typeof elements === 'string') {\n elements = document.querySelectorAll(elements);\n }\n\n // Handle Array-like based usage\n return Array.prototype.map.call(elements, function (element) {\n return _delegate(element, selector, type, callback, useCapture);\n });\n}\n\n/**\n * Finds closest match and invokes callback.\n *\n * @param {Element} element\n * @param {String} selector\n * @param {String} type\n * @param {Function} callback\n * @return {Function}\n */\nfunction listener(element, selector, type, callback) {\n return function(e) {\n e.delegateTarget = closest(e.target, selector);\n\n if (e.delegateTarget) {\n callback.call(element, e);\n }\n }\n}\n\nmodule.exports = delegate;\n\n\n/***/ }),\n\n/***/ 879:\n/***/ (function(__unused_webpack_module, exports) {\n\n/**\n * Check if argument is a HTML element.\n *\n * @param {Object} value\n * @return {Boolean}\n */\nexports.node = function(value) {\n return value !== undefined\n && value instanceof HTMLElement\n && value.nodeType === 1;\n};\n\n/**\n * Check if argument is a list of HTML elements.\n *\n * @param {Object} value\n * @return {Boolean}\n */\nexports.nodeList = function(value) {\n var type = Object.prototype.toString.call(value);\n\n return value !== undefined\n && (type === '[object NodeList]' || type === '[object HTMLCollection]')\n && ('length' in value)\n && (value.length === 0 || exports.node(value[0]));\n};\n\n/**\n * Check if argument is a string.\n *\n * @param {Object} value\n * @return {Boolean}\n */\nexports.string = function(value) {\n return typeof value === 'string'\n || value instanceof String;\n};\n\n/**\n * Check if argument is a function.\n *\n * @param {Object} value\n * @return {Boolean}\n */\nexports.fn = function(value) {\n var type = Object.prototype.toString.call(value);\n\n return type === '[object Function]';\n};\n\n\n/***/ }),\n\n/***/ 370:\n/***/ (function(module, __unused_webpack_exports, __webpack_require__) {\n\nvar is = __webpack_require__(879);\nvar delegate = __webpack_require__(438);\n\n/**\n * Validates all params and calls the right\n * listener function based on its target type.\n *\n * @param {String|HTMLElement|HTMLCollection|NodeList} target\n * @param {String} type\n * @param {Function} callback\n * @return {Object}\n */\nfunction listen(target, type, callback) {\n if (!target && !type && !callback) {\n throw new Error('Missing required arguments');\n }\n\n if (!is.string(type)) {\n throw new TypeError('Second argument must be a String');\n }\n\n if (!is.fn(callback)) {\n throw new TypeError('Third argument must be a Function');\n }\n\n if (is.node(target)) {\n return listenNode(target, type, callback);\n }\n else if (is.nodeList(target)) {\n return listenNodeList(target, type, callback);\n }\n else if (is.string(target)) {\n return listenSelector(target, type, callback);\n }\n else {\n throw new TypeError('First argument must be a String, HTMLElement, HTMLCollection, or NodeList');\n }\n}\n\n/**\n * Adds an event listener to a HTML element\n * and returns a remove listener function.\n *\n * @param {HTMLElement} node\n * @param {String} type\n * @param {Function} callback\n * @return {Object}\n */\nfunction listenNode(node, type, callback) {\n node.addEventListener(type, callback);\n\n return {\n destroy: function() {\n node.removeEventListener(type, callback);\n }\n }\n}\n\n/**\n * Add an event listener to a list of HTML elements\n * and returns a remove listener function.\n *\n * @param {NodeList|HTMLCollection} nodeList\n * @param {String} type\n * @param {Function} callback\n * @return {Object}\n */\nfunction listenNodeList(nodeList, type, callback) {\n Array.prototype.forEach.call(nodeList, function(node) {\n node.addEventListener(type, callback);\n });\n\n return {\n destroy: function() {\n Array.prototype.forEach.call(nodeList, function(node) {\n node.removeEventListener(type, callback);\n });\n }\n }\n}\n\n/**\n * Add an event listener to a selector\n * and returns a remove listener function.\n *\n * @param {String} selector\n * @param {String} type\n * @param {Function} callback\n * @return {Object}\n */\nfunction listenSelector(selector, type, callback) {\n return delegate(document.body, selector, type, callback);\n}\n\nmodule.exports = listen;\n\n\n/***/ }),\n\n/***/ 817:\n/***/ (function(module) {\n\nfunction select(element) {\n var selectedText;\n\n if (element.nodeName === 'SELECT') {\n element.focus();\n\n selectedText = element.value;\n }\n else if (element.nodeName === 'INPUT' || element.nodeName === 'TEXTAREA') {\n var isReadOnly = element.hasAttribute('readonly');\n\n if (!isReadOnly) {\n element.setAttribute('readonly', '');\n }\n\n element.select();\n element.setSelectionRange(0, element.value.length);\n\n if (!isReadOnly) {\n element.removeAttribute('readonly');\n }\n\n selectedText = element.value;\n }\n else {\n if (element.hasAttribute('contenteditable')) {\n element.focus();\n }\n\n var selection = window.getSelection();\n var range = document.createRange();\n\n range.selectNodeContents(element);\n selection.removeAllRanges();\n selection.addRange(range);\n\n selectedText = selection.toString();\n }\n\n return selectedText;\n}\n\nmodule.exports = select;\n\n\n/***/ }),\n\n/***/ 279:\n/***/ (function(module) {\n\nfunction E () {\n // Keep this empty so it's easier to inherit from\n // (via https://github.com/lipsmack from https://github.com/scottcorgan/tiny-emitter/issues/3)\n}\n\nE.prototype = {\n on: function (name, callback, ctx) {\n var e = this.e || (this.e = {});\n\n (e[name] || (e[name] = [])).push({\n fn: callback,\n ctx: ctx\n });\n\n return this;\n },\n\n once: function (name, callback, ctx) {\n var self = this;\n function listener () {\n self.off(name, listener);\n callback.apply(ctx, arguments);\n };\n\n listener._ = callback\n return this.on(name, listener, ctx);\n },\n\n emit: function (name) {\n var data = [].slice.call(arguments, 1);\n var evtArr = ((this.e || (this.e = {}))[name] || []).slice();\n var i = 0;\n var len = evtArr.length;\n\n for (i; i < len; i++) {\n evtArr[i].fn.apply(evtArr[i].ctx, data);\n }\n\n return this;\n },\n\n off: function (name, callback) {\n var e = this.e || (this.e = {});\n var evts = e[name];\n var liveEvents = [];\n\n if (evts && callback) {\n for (var i = 0, len = evts.length; i < len; i++) {\n if (evts[i].fn !== callback && evts[i].fn._ !== callback)\n liveEvents.push(evts[i]);\n }\n }\n\n // Remove event from queue to prevent memory leak\n // Suggested by https://github.com/lazd\n // Ref: https://github.com/scottcorgan/tiny-emitter/commit/c6ebfaa9bc973b33d110a84a307742b7cf94c953#commitcomment-5024910\n\n (liveEvents.length)\n ? e[name] = liveEvents\n : delete e[name];\n\n return this;\n }\n};\n\nmodule.exports = E;\nmodule.exports.TinyEmitter = E;\n\n\n/***/ })\n\n/******/ \t});\n/************************************************************************/\n/******/ \t// The module cache\n/******/ \tvar __webpack_module_cache__ = {};\n/******/ \t\n/******/ \t// The require function\n/******/ \tfunction __webpack_require__(moduleId) {\n/******/ \t\t// Check if module is in cache\n/******/ \t\tif(__webpack_module_cache__[moduleId]) {\n/******/ \t\t\treturn __webpack_module_cache__[moduleId].exports;\n/******/ \t\t}\n/******/ \t\t// Create a new module (and put it into the cache)\n/******/ \t\tvar module = __webpack_module_cache__[moduleId] = {\n/******/ \t\t\t// no module.id needed\n/******/ \t\t\t// no module.loaded needed\n/******/ \t\t\texports: {}\n/******/ \t\t};\n/******/ \t\n/******/ \t\t// Execute the module function\n/******/ \t\t__webpack_modules__[moduleId](module, module.exports, __webpack_require__);\n/******/ \t\n/******/ \t\t// Return the exports of the module\n/******/ \t\treturn module.exports;\n/******/ \t}\n/******/ \t\n/************************************************************************/\n/******/ \t/* webpack/runtime/compat get default export */\n/******/ \t!function() {\n/******/ \t\t// getDefaultExport function for compatibility with non-harmony modules\n/******/ \t\t__webpack_require__.n = function(module) {\n/******/ \t\t\tvar getter = module && module.__esModule ?\n/******/ \t\t\t\tfunction() { return module['default']; } :\n/******/ \t\t\t\tfunction() { return module; };\n/******/ \t\t\t__webpack_require__.d(getter, { a: getter });\n/******/ \t\t\treturn getter;\n/******/ \t\t};\n/******/ \t}();\n/******/ \t\n/******/ \t/* webpack/runtime/define property getters */\n/******/ \t!function() {\n/******/ \t\t// define getter functions for harmony exports\n/******/ \t\t__webpack_require__.d = function(exports, definition) {\n/******/ \t\t\tfor(var key in definition) {\n/******/ \t\t\t\tif(__webpack_require__.o(definition, key) && !__webpack_require__.o(exports, key)) {\n/******/ \t\t\t\t\tObject.defineProperty(exports, key, { enumerable: true, get: definition[key] });\n/******/ \t\t\t\t}\n/******/ \t\t\t}\n/******/ \t\t};\n/******/ \t}();\n/******/ \t\n/******/ \t/* webpack/runtime/hasOwnProperty shorthand */\n/******/ \t!function() {\n/******/ \t\t__webpack_require__.o = function(obj, prop) { return Object.prototype.hasOwnProperty.call(obj, prop); }\n/******/ \t}();\n/******/ \t\n/************************************************************************/\n/******/ \t// module exports must be returned from runtime so entry inlining is disabled\n/******/ \t// startup\n/******/ \t// Load entry module and return exports\n/******/ \treturn __webpack_require__(686);\n/******/ })()\n.default;\n});", "/*!\n * escape-html\n * Copyright(c) 2012-2013 TJ Holowaychuk\n * Copyright(c) 2015 Andreas Lubbe\n * Copyright(c) 2015 Tiancheng \"Timothy\" Gu\n * MIT Licensed\n */\n\n'use strict';\n\n/**\n * Module variables.\n * @private\n */\n\nvar matchHtmlRegExp = /[\"'&<>]/;\n\n/**\n * Module exports.\n * @public\n */\n\nmodule.exports = escapeHtml;\n\n/**\n * Escape special characters in the given string of html.\n *\n * @param {string} string The string to escape for inserting into HTML\n * @return {string}\n * @public\n */\n\nfunction escapeHtml(string) {\n var str = '' + string;\n var match = matchHtmlRegExp.exec(str);\n\n if (!match) {\n return str;\n }\n\n var escape;\n var html = '';\n var index = 0;\n var lastIndex = 0;\n\n for (index = match.index; index < str.length; index++) {\n switch (str.charCodeAt(index)) {\n case 34: // \"\n escape = '"';\n break;\n case 38: // &\n escape = '&';\n break;\n case 39: // '\n escape = ''';\n break;\n case 60: // <\n escape = '<';\n break;\n case 62: // >\n escape = '>';\n break;\n default:\n continue;\n }\n\n if (lastIndex !== index) {\n html += str.substring(lastIndex, index);\n }\n\n lastIndex = index + 1;\n html += escape;\n }\n\n return lastIndex !== index\n ? html + str.substring(lastIndex, index)\n : html;\n}\n", "Array.prototype.flat||Object.defineProperty(Array.prototype,\"flat\",{configurable:!0,value:function r(){var t=isNaN(arguments[0])?1:Number(arguments[0]);return t?Array.prototype.reduce.call(this,function(a,e){return Array.isArray(e)?a.push.apply(a,r.call(e,t-1)):a.push(e),a},[]):Array.prototype.slice.call(this)},writable:!0}),Array.prototype.flatMap||Object.defineProperty(Array.prototype,\"flatMap\",{configurable:!0,value:function(r){return Array.prototype.map.apply(this,arguments).flat()},writable:!0})\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport \"array-flat-polyfill\"\nimport \"focus-visible\"\nimport \"unfetch/polyfill\"\nimport \"url-polyfill\"\n\nimport {\n EMPTY,\n NEVER,\n Subject,\n defer,\n delay,\n filter,\n map,\n merge,\n mergeWith,\n shareReplay,\n switchMap\n} from \"rxjs\"\n\nimport { configuration, feature } from \"./_\"\nimport {\n at,\n getOptionalElement,\n requestJSON,\n setToggle,\n watchDocument,\n watchKeyboard,\n watchLocation,\n watchLocationTarget,\n watchMedia,\n watchPrint,\n watchViewport\n} from \"./browser\"\nimport {\n getComponentElement,\n getComponentElements,\n mountBackToTop,\n mountContent,\n mountDialog,\n mountHeader,\n mountHeaderTitle,\n mountPalette,\n mountSearch,\n mountSearchHiglight,\n mountSidebar,\n mountSource,\n mountTableOfContents,\n mountTabs,\n watchHeader,\n watchMain\n} from \"./components\"\nimport {\n SearchIndex,\n setupClipboardJS,\n setupInstantLoading,\n setupVersionSelector\n} from \"./integrations\"\nimport {\n patchIndeterminate,\n patchScrollfix,\n patchScrolllock\n} from \"./patches\"\nimport \"./polyfills\"\n\n/* ----------------------------------------------------------------------------\n * Application\n * ------------------------------------------------------------------------- */\n\n/* Yay, JavaScript is available */\ndocument.documentElement.classList.remove(\"no-js\")\ndocument.documentElement.classList.add(\"js\")\n\n/* Set up navigation observables and subjects */\nconst document$ = watchDocument()\nconst location$ = watchLocation()\nconst target$ = watchLocationTarget()\nconst keyboard$ = watchKeyboard()\n\n/* Set up media observables */\nconst viewport$ = watchViewport()\nconst tablet$ = watchMedia(\"(min-width: 960px)\")\nconst screen$ = watchMedia(\"(min-width: 1220px)\")\nconst print$ = watchPrint()\n\n/* Retrieve search index, if search is enabled */\nconst config = configuration()\nconst index$ = document.forms.namedItem(\"search\")\n ? __search?.index || requestJSON(\n new URL(\"search/search_index.json\", config.base)\n )\n : NEVER\n\n/* Set up Clipboard.js integration */\nconst alert$ = new Subject()\nsetupClipboardJS({ alert$ })\n\n/* Set up instant loading, if enabled */\nif (feature(\"navigation.instant\"))\n setupInstantLoading({ document$, location$, viewport$ })\n\n/* Set up version selector */\nif (config.version?.provider === \"mike\")\n setupVersionSelector({ document$ })\n\n/* Always close drawer and search on navigation */\nmerge(location$, target$)\n .pipe(\n delay(125)\n )\n .subscribe(() => {\n setToggle(\"drawer\", false)\n setToggle(\"search\", false)\n })\n\n/* Set up global keyboard handlers */\nkeyboard$\n .pipe(\n filter(({ mode }) => mode === \"global\")\n )\n .subscribe(key => {\n switch (key.type) {\n\n /* Go to previous page */\n case \"p\":\n case \",\":\n const prev = getOptionalElement(\"[href][rel=prev]\")\n if (typeof prev !== \"undefined\")\n prev.click()\n break\n\n /* Go to next page */\n case \"n\":\n case \".\":\n const next = getOptionalElement(\"[href][rel=next]\")\n if (typeof next !== \"undefined\")\n next.click()\n break\n }\n })\n\n/* Set up patches */\npatchIndeterminate({ document$, tablet$ })\npatchScrollfix({ document$ })\npatchScrolllock({ viewport$, tablet$ })\n\n/* Set up header and main area observable */\nconst header$ = watchHeader(getComponentElement(\"header\"), { viewport$ })\nconst main$ = document$\n .pipe(\n map(() => getComponentElement(\"main\")),\n switchMap(el => watchMain(el, { viewport$, header$ })),\n shareReplay(1)\n )\n\n/* Set up control component observables */\nconst control$ = merge(\n\n /* Dialog */\n ...getComponentElements(\"dialog\")\n .map(el => mountDialog(el, { alert$ })),\n\n /* Header */\n ...getComponentElements(\"header\")\n .map(el => mountHeader(el, { viewport$, header$, main$ })),\n\n /* Color palette */\n ...getComponentElements(\"palette\")\n .map(el => mountPalette(el)),\n\n /* Search */\n ...getComponentElements(\"search\")\n .map(el => mountSearch(el, { index$, keyboard$ })),\n\n /* Repository information */\n ...getComponentElements(\"source\")\n .map(el => mountSource(el))\n)\n\n/* Set up content component observables */\nconst content$ = defer(() => merge(\n\n /* Content */\n ...getComponentElements(\"content\")\n .map(el => mountContent(el, { target$, print$ })),\n\n /* Search highlighting */\n ...getComponentElements(\"content\")\n .map(el => feature(\"search.highlight\")\n ? mountSearchHiglight(el, { index$, location$ })\n : EMPTY\n ),\n\n /* Header title */\n ...getComponentElements(\"header-title\")\n .map(el => mountHeaderTitle(el, { viewport$, header$ })),\n\n /* Sidebar */\n ...getComponentElements(\"sidebar\")\n .map(el => el.getAttribute(\"data-md-type\") === \"navigation\"\n ? at(screen$, () => mountSidebar(el, { viewport$, header$, main$ }))\n : at(tablet$, () => mountSidebar(el, { viewport$, header$, main$ }))\n ),\n\n /* Navigation tabs */\n ...getComponentElements(\"tabs\")\n .map(el => mountTabs(el, { viewport$, header$ })),\n\n /* Table of contents */\n ...getComponentElements(\"toc\")\n .map(el => mountTableOfContents(el, { viewport$, header$, target$ })),\n\n /* Back-to-top button */\n ...getComponentElements(\"top\")\n .map(el => mountBackToTop(el, { viewport$, header$, main$, target$ }))\n))\n\n/* Set up component observables */\nconst component$ = document$\n .pipe(\n switchMap(() => content$),\n mergeWith(control$),\n shareReplay(1)\n )\n\n/* Subscribe to all components */\ncomponent$.subscribe()\n\n/* ----------------------------------------------------------------------------\n * Exports\n * ------------------------------------------------------------------------- */\n\nwindow.document$ = document$ /* Document observable */\nwindow.location$ = location$ /* Location subject */\nwindow.target$ = target$ /* Location target observable */\nwindow.keyboard$ = keyboard$ /* Keyboard observable */\nwindow.viewport$ = viewport$ /* Viewport observable */\nwindow.tablet$ = tablet$ /* Media tablet observable */\nwindow.screen$ = screen$ /* Media screen observable */\nwindow.print$ = print$ /* Media print observable */\nwindow.alert$ = alert$ /* Alert subject */\nwindow.component$ = component$ /* Component observable */\n", "self.fetch||(self.fetch=function(e,n){return n=n||{},new Promise(function(t,s){var r=new XMLHttpRequest,o=[],u=[],i={},a=function(){return{ok:2==(r.status/100|0),statusText:r.statusText,status:r.status,url:r.responseURL,text:function(){return Promise.resolve(r.responseText)},json:function(){return Promise.resolve(r.responseText).then(JSON.parse)},blob:function(){return Promise.resolve(new Blob([r.response]))},clone:a,headers:{keys:function(){return o},entries:function(){return u},get:function(e){return i[e.toLowerCase()]},has:function(e){return e.toLowerCase()in i}}}};for(var c in r.open(n.method||\"get\",e,!0),r.onload=function(){r.getAllResponseHeaders().replace(/^(.*?):[^\\S\\n]*([\\s\\S]*?)$/gm,function(e,n,t){o.push(n=n.toLowerCase()),u.push([n,t]),i[n]=i[n]?i[n]+\",\"+t:t}),t(a())},r.onerror=s,r.withCredentials=\"include\"==n.credentials,n.headers)r.setRequestHeader(c,n.headers[c]);r.send(n.body||null)})});\n", "import tslib from '../tslib.js';\r\nconst {\r\n __extends,\r\n __assign,\r\n __rest,\r\n __decorate,\r\n __param,\r\n __metadata,\r\n __awaiter,\r\n __generator,\r\n __exportStar,\r\n __createBinding,\r\n __values,\r\n __read,\r\n __spread,\r\n __spreadArrays,\r\n __spreadArray,\r\n __await,\r\n __asyncGenerator,\r\n __asyncDelegator,\r\n __asyncValues,\r\n __makeTemplateObject,\r\n __importStar,\r\n __importDefault,\r\n __classPrivateFieldGet,\r\n __classPrivateFieldSet,\r\n} = tslib;\r\nexport {\r\n __extends,\r\n __assign,\r\n __rest,\r\n __decorate,\r\n __param,\r\n __metadata,\r\n __awaiter,\r\n __generator,\r\n __exportStar,\r\n __createBinding,\r\n __values,\r\n __read,\r\n __spread,\r\n __spreadArrays,\r\n __spreadArray,\r\n __await,\r\n __asyncGenerator,\r\n __asyncDelegator,\r\n __asyncValues,\r\n __makeTemplateObject,\r\n __importStar,\r\n __importDefault,\r\n __classPrivateFieldGet,\r\n __classPrivateFieldSet,\r\n};\r\n", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n ReplaySubject,\n Subject,\n fromEvent\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch document\n *\n * Documents are implemented as subjects, so all downstream observables are\n * automatically updated when a new document is emitted.\n *\n * @returns Document subject\n */\nexport function watchDocument(): Subject {\n const document$ = new ReplaySubject(1)\n fromEvent(document, \"DOMContentLoaded\", { once: true })\n .subscribe(() => document$.next(document))\n\n /* Return document */\n return document$\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve all elements matching the query selector\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Elements\n */\nexport function getElements(\n selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T][]\n\nexport function getElements(\n selector: string, node?: ParentNode\n): T[]\n\nexport function getElements(\n selector: string, node: ParentNode = document\n): T[] {\n return Array.from(node.querySelectorAll(selector))\n}\n\n/**\n * Retrieve an element matching a query selector or throw a reference error\n *\n * Note that this function assumes that the element is present. If unsure if an\n * element is existent, use the `getOptionalElement` function instead.\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Element\n */\nexport function getElement(\n selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T]\n\nexport function getElement(\n selector: string, node?: ParentNode\n): T\n\nexport function getElement(\n selector: string, node: ParentNode = document\n): T {\n const el = getOptionalElement(selector, node)\n if (typeof el === \"undefined\")\n throw new ReferenceError(\n `Missing element: expected \"${selector}\" to be present`\n )\n\n /* Return element */\n return el\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Retrieve an optional element matching the query selector\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Element or nothing\n */\nexport function getOptionalElement(\n selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T] | undefined\n\nexport function getOptionalElement(\n selector: string, node?: ParentNode\n): T | undefined\n\nexport function getOptionalElement(\n selector: string, node: ParentNode = document\n): T | undefined {\n return node.querySelector(selector) || undefined\n}\n\n/**\n * Retrieve the currently active element\n *\n * @returns Element or nothing\n */\nexport function getActiveElement(): HTMLElement | undefined {\n return document.activeElement instanceof HTMLElement\n ? document.activeElement || undefined\n : undefined\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n debounceTime,\n distinctUntilChanged,\n fromEvent,\n map,\n merge,\n startWith\n} from \"rxjs\"\n\nimport { getActiveElement } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch element focus\n *\n * Previously, this function used `focus` and `blur` events to determine whether\n * an element is focused, but this doesn't work if there are focusable elements\n * within the elements itself. A better solutions are `focusin` and `focusout`\n * events, which bubble up the tree and allow for more fine-grained control.\n *\n * `debounceTime` is necessary, because when a focus change happens inside an\n * element, the observable would first emit `false` and then `true` again.\n *\n * @param el - Element\n *\n * @returns Element focus observable\n */\nexport function watchElementFocus(\n el: HTMLElement\n): Observable {\n return merge(\n fromEvent(document.body, \"focusin\"),\n fromEvent(document.body, \"focusout\")\n )\n .pipe(\n debounceTime(1),\n map(() => {\n const active = getActiveElement()\n return typeof active !== \"undefined\"\n ? el.contains(active)\n : false\n }),\n startWith(el === getActiveElement()),\n distinctUntilChanged()\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n animationFrameScheduler,\n auditTime,\n fromEvent,\n map,\n merge,\n startWith\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Element offset\n */\nexport interface ElementOffset {\n x: number /* Horizontal offset */\n y: number /* Vertical offset */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve element offset\n *\n * @param el - Element\n *\n * @returns Element offset\n */\nexport function getElementOffset(\n el: HTMLElement\n): ElementOffset {\n return {\n x: el.offsetLeft,\n y: el.offsetTop\n }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch element offset\n *\n * @param el - Element\n *\n * @returns Element offset observable\n */\nexport function watchElementOffset(\n el: HTMLElement\n): Observable {\n return merge(\n fromEvent(window, \"load\"),\n fromEvent(window, \"resize\")\n )\n .pipe(\n auditTime(0, animationFrameScheduler),\n map(() => getElementOffset(el)),\n startWith(getElementOffset(el))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n animationFrameScheduler,\n auditTime,\n fromEvent,\n map,\n merge,\n startWith\n} from \"rxjs\"\n\nimport { ElementOffset } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve element content offset (= scroll offset)\n *\n * @param el - Element\n *\n * @returns Element content offset\n */\nexport function getElementContentOffset(\n el: HTMLElement\n): ElementOffset {\n return {\n x: el.scrollLeft,\n y: el.scrollTop\n }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch element content offset\n *\n * @param el - Element\n *\n * @returns Element content offset observable\n */\nexport function watchElementContentOffset(\n el: HTMLElement\n): Observable {\n return merge(\n fromEvent(el, \"scroll\"),\n fromEvent(window, \"resize\")\n )\n .pipe(\n auditTime(0, animationFrameScheduler),\n map(() => getElementContentOffset(el)),\n startWith(getElementContentOffset(el))\n )\n}\n", "/**\r\n * A collection of shims that provide minimal functionality of the ES6 collections.\r\n *\r\n * These implementations are not meant to be used outside of the ResizeObserver\r\n * modules as they cover only a limited range of use cases.\r\n */\r\n/* eslint-disable require-jsdoc, valid-jsdoc */\r\nvar MapShim = (function () {\r\n if (typeof Map !== 'undefined') {\r\n return Map;\r\n }\r\n /**\r\n * Returns index in provided array that matches the specified key.\r\n *\r\n * @param {Array} arr\r\n * @param {*} key\r\n * @returns {number}\r\n */\r\n function getIndex(arr, key) {\r\n var result = -1;\r\n arr.some(function (entry, index) {\r\n if (entry[0] === key) {\r\n result = index;\r\n return true;\r\n }\r\n return false;\r\n });\r\n return result;\r\n }\r\n return /** @class */ (function () {\r\n function class_1() {\r\n this.__entries__ = [];\r\n }\r\n Object.defineProperty(class_1.prototype, \"size\", {\r\n /**\r\n * @returns {boolean}\r\n */\r\n get: function () {\r\n return this.__entries__.length;\r\n },\r\n enumerable: true,\r\n configurable: true\r\n });\r\n /**\r\n * @param {*} key\r\n * @returns {*}\r\n */\r\n class_1.prototype.get = function (key) {\r\n var index = getIndex(this.__entries__, key);\r\n var entry = this.__entries__[index];\r\n return entry && entry[1];\r\n };\r\n /**\r\n * @param {*} key\r\n * @param {*} value\r\n * @returns {void}\r\n */\r\n class_1.prototype.set = function (key, value) {\r\n var index = getIndex(this.__entries__, key);\r\n if (~index) {\r\n this.__entries__[index][1] = value;\r\n }\r\n else {\r\n this.__entries__.push([key, value]);\r\n }\r\n };\r\n /**\r\n * @param {*} key\r\n * @returns {void}\r\n */\r\n class_1.prototype.delete = function (key) {\r\n var entries = this.__entries__;\r\n var index = getIndex(entries, key);\r\n if (~index) {\r\n entries.splice(index, 1);\r\n }\r\n };\r\n /**\r\n * @param {*} key\r\n * @returns {void}\r\n */\r\n class_1.prototype.has = function (key) {\r\n return !!~getIndex(this.__entries__, key);\r\n };\r\n /**\r\n * @returns {void}\r\n */\r\n class_1.prototype.clear = function () {\r\n this.__entries__.splice(0);\r\n };\r\n /**\r\n * @param {Function} callback\r\n * @param {*} [ctx=null]\r\n * @returns {void}\r\n */\r\n class_1.prototype.forEach = function (callback, ctx) {\r\n if (ctx === void 0) { ctx = null; }\r\n for (var _i = 0, _a = this.__entries__; _i < _a.length; _i++) {\r\n var entry = _a[_i];\r\n callback.call(ctx, entry[1], entry[0]);\r\n }\r\n };\r\n return class_1;\r\n }());\r\n})();\n\n/**\r\n * Detects whether window and document objects are available in current environment.\r\n */\r\nvar isBrowser = typeof window !== 'undefined' && typeof document !== 'undefined' && window.document === document;\n\n// Returns global object of a current environment.\r\nvar global$1 = (function () {\r\n if (typeof global !== 'undefined' && global.Math === Math) {\r\n return global;\r\n }\r\n if (typeof self !== 'undefined' && self.Math === Math) {\r\n return self;\r\n }\r\n if (typeof window !== 'undefined' && window.Math === Math) {\r\n return window;\r\n }\r\n // eslint-disable-next-line no-new-func\r\n return Function('return this')();\r\n})();\n\n/**\r\n * A shim for the requestAnimationFrame which falls back to the setTimeout if\r\n * first one is not supported.\r\n *\r\n * @returns {number} Requests' identifier.\r\n */\r\nvar requestAnimationFrame$1 = (function () {\r\n if (typeof requestAnimationFrame === 'function') {\r\n // It's required to use a bounded function because IE sometimes throws\r\n // an \"Invalid calling object\" error if rAF is invoked without the global\r\n // object on the left hand side.\r\n return requestAnimationFrame.bind(global$1);\r\n }\r\n return function (callback) { return setTimeout(function () { return callback(Date.now()); }, 1000 / 60); };\r\n})();\n\n// Defines minimum timeout before adding a trailing call.\r\nvar trailingTimeout = 2;\r\n/**\r\n * Creates a wrapper function which ensures that provided callback will be\r\n * invoked only once during the specified delay period.\r\n *\r\n * @param {Function} callback - Function to be invoked after the delay period.\r\n * @param {number} delay - Delay after which to invoke callback.\r\n * @returns {Function}\r\n */\r\nfunction throttle (callback, delay) {\r\n var leadingCall = false, trailingCall = false, lastCallTime = 0;\r\n /**\r\n * Invokes the original callback function and schedules new invocation if\r\n * the \"proxy\" was called during current request.\r\n *\r\n * @returns {void}\r\n */\r\n function resolvePending() {\r\n if (leadingCall) {\r\n leadingCall = false;\r\n callback();\r\n }\r\n if (trailingCall) {\r\n proxy();\r\n }\r\n }\r\n /**\r\n * Callback invoked after the specified delay. It will further postpone\r\n * invocation of the original function delegating it to the\r\n * requestAnimationFrame.\r\n *\r\n * @returns {void}\r\n */\r\n function timeoutCallback() {\r\n requestAnimationFrame$1(resolvePending);\r\n }\r\n /**\r\n * Schedules invocation of the original function.\r\n *\r\n * @returns {void}\r\n */\r\n function proxy() {\r\n var timeStamp = Date.now();\r\n if (leadingCall) {\r\n // Reject immediately following calls.\r\n if (timeStamp - lastCallTime < trailingTimeout) {\r\n return;\r\n }\r\n // Schedule new call to be in invoked when the pending one is resolved.\r\n // This is important for \"transitions\" which never actually start\r\n // immediately so there is a chance that we might miss one if change\r\n // happens amids the pending invocation.\r\n trailingCall = true;\r\n }\r\n else {\r\n leadingCall = true;\r\n trailingCall = false;\r\n setTimeout(timeoutCallback, delay);\r\n }\r\n lastCallTime = timeStamp;\r\n }\r\n return proxy;\r\n}\n\n// Minimum delay before invoking the update of observers.\r\nvar REFRESH_DELAY = 20;\r\n// A list of substrings of CSS properties used to find transition events that\r\n// might affect dimensions of observed elements.\r\nvar transitionKeys = ['top', 'right', 'bottom', 'left', 'width', 'height', 'size', 'weight'];\r\n// Check if MutationObserver is available.\r\nvar mutationObserverSupported = typeof MutationObserver !== 'undefined';\r\n/**\r\n * Singleton controller class which handles updates of ResizeObserver instances.\r\n */\r\nvar ResizeObserverController = /** @class */ (function () {\r\n /**\r\n * Creates a new instance of ResizeObserverController.\r\n *\r\n * @private\r\n */\r\n function ResizeObserverController() {\r\n /**\r\n * Indicates whether DOM listeners have been added.\r\n *\r\n * @private {boolean}\r\n */\r\n this.connected_ = false;\r\n /**\r\n * Tells that controller has subscribed for Mutation Events.\r\n *\r\n * @private {boolean}\r\n */\r\n this.mutationEventsAdded_ = false;\r\n /**\r\n * Keeps reference to the instance of MutationObserver.\r\n *\r\n * @private {MutationObserver}\r\n */\r\n this.mutationsObserver_ = null;\r\n /**\r\n * A list of connected observers.\r\n *\r\n * @private {Array}\r\n */\r\n this.observers_ = [];\r\n this.onTransitionEnd_ = this.onTransitionEnd_.bind(this);\r\n this.refresh = throttle(this.refresh.bind(this), REFRESH_DELAY);\r\n }\r\n /**\r\n * Adds observer to observers list.\r\n *\r\n * @param {ResizeObserverSPI} observer - Observer to be added.\r\n * @returns {void}\r\n */\r\n ResizeObserverController.prototype.addObserver = function (observer) {\r\n if (!~this.observers_.indexOf(observer)) {\r\n this.observers_.push(observer);\r\n }\r\n // Add listeners if they haven't been added yet.\r\n if (!this.connected_) {\r\n this.connect_();\r\n }\r\n };\r\n /**\r\n * Removes observer from observers list.\r\n *\r\n * @param {ResizeObserverSPI} observer - Observer to be removed.\r\n * @returns {void}\r\n */\r\n ResizeObserverController.prototype.removeObserver = function (observer) {\r\n var observers = this.observers_;\r\n var index = observers.indexOf(observer);\r\n // Remove observer if it's present in registry.\r\n if (~index) {\r\n observers.splice(index, 1);\r\n }\r\n // Remove listeners if controller has no connected observers.\r\n if (!observers.length && this.connected_) {\r\n this.disconnect_();\r\n }\r\n };\r\n /**\r\n * Invokes the update of observers. It will continue running updates insofar\r\n * it detects changes.\r\n *\r\n * @returns {void}\r\n */\r\n ResizeObserverController.prototype.refresh = function () {\r\n var changesDetected = this.updateObservers_();\r\n // Continue running updates if changes have been detected as there might\r\n // be future ones caused by CSS transitions.\r\n if (changesDetected) {\r\n this.refresh();\r\n }\r\n };\r\n /**\r\n * Updates every observer from observers list and notifies them of queued\r\n * entries.\r\n *\r\n * @private\r\n * @returns {boolean} Returns \"true\" if any observer has detected changes in\r\n * dimensions of it's elements.\r\n */\r\n ResizeObserverController.prototype.updateObservers_ = function () {\r\n // Collect observers that have active observations.\r\n var activeObservers = this.observers_.filter(function (observer) {\r\n return observer.gatherActive(), observer.hasActive();\r\n });\r\n // Deliver notifications in a separate cycle in order to avoid any\r\n // collisions between observers, e.g. when multiple instances of\r\n // ResizeObserver are tracking the same element and the callback of one\r\n // of them changes content dimensions of the observed target. Sometimes\r\n // this may result in notifications being blocked for the rest of observers.\r\n activeObservers.forEach(function (observer) { return observer.broadcastActive(); });\r\n return activeObservers.length > 0;\r\n };\r\n /**\r\n * Initializes DOM listeners.\r\n *\r\n * @private\r\n * @returns {void}\r\n */\r\n ResizeObserverController.prototype.connect_ = function () {\r\n // Do nothing if running in a non-browser environment or if listeners\r\n // have been already added.\r\n if (!isBrowser || this.connected_) {\r\n return;\r\n }\r\n // Subscription to the \"Transitionend\" event is used as a workaround for\r\n // delayed transitions. This way it's possible to capture at least the\r\n // final state of an element.\r\n document.addEventListener('transitionend', this.onTransitionEnd_);\r\n window.addEventListener('resize', this.refresh);\r\n if (mutationObserverSupported) {\r\n this.mutationsObserver_ = new MutationObserver(this.refresh);\r\n this.mutationsObserver_.observe(document, {\r\n attributes: true,\r\n childList: true,\r\n characterData: true,\r\n subtree: true\r\n });\r\n }\r\n else {\r\n document.addEventListener('DOMSubtreeModified', this.refresh);\r\n this.mutationEventsAdded_ = true;\r\n }\r\n this.connected_ = true;\r\n };\r\n /**\r\n * Removes DOM listeners.\r\n *\r\n * @private\r\n * @returns {void}\r\n */\r\n ResizeObserverController.prototype.disconnect_ = function () {\r\n // Do nothing if running in a non-browser environment or if listeners\r\n // have been already removed.\r\n if (!isBrowser || !this.connected_) {\r\n return;\r\n }\r\n document.removeEventListener('transitionend', this.onTransitionEnd_);\r\n window.removeEventListener('resize', this.refresh);\r\n if (this.mutationsObserver_) {\r\n this.mutationsObserver_.disconnect();\r\n }\r\n if (this.mutationEventsAdded_) {\r\n document.removeEventListener('DOMSubtreeModified', this.refresh);\r\n }\r\n this.mutationsObserver_ = null;\r\n this.mutationEventsAdded_ = false;\r\n this.connected_ = false;\r\n };\r\n /**\r\n * \"Transitionend\" event handler.\r\n *\r\n * @private\r\n * @param {TransitionEvent} event\r\n * @returns {void}\r\n */\r\n ResizeObserverController.prototype.onTransitionEnd_ = function (_a) {\r\n var _b = _a.propertyName, propertyName = _b === void 0 ? '' : _b;\r\n // Detect whether transition may affect dimensions of an element.\r\n var isReflowProperty = transitionKeys.some(function (key) {\r\n return !!~propertyName.indexOf(key);\r\n });\r\n if (isReflowProperty) {\r\n this.refresh();\r\n }\r\n };\r\n /**\r\n * Returns instance of the ResizeObserverController.\r\n *\r\n * @returns {ResizeObserverController}\r\n */\r\n ResizeObserverController.getInstance = function () {\r\n if (!this.instance_) {\r\n this.instance_ = new ResizeObserverController();\r\n }\r\n return this.instance_;\r\n };\r\n /**\r\n * Holds reference to the controller's instance.\r\n *\r\n * @private {ResizeObserverController}\r\n */\r\n ResizeObserverController.instance_ = null;\r\n return ResizeObserverController;\r\n}());\n\n/**\r\n * Defines non-writable/enumerable properties of the provided target object.\r\n *\r\n * @param {Object} target - Object for which to define properties.\r\n * @param {Object} props - Properties to be defined.\r\n * @returns {Object} Target object.\r\n */\r\nvar defineConfigurable = (function (target, props) {\r\n for (var _i = 0, _a = Object.keys(props); _i < _a.length; _i++) {\r\n var key = _a[_i];\r\n Object.defineProperty(target, key, {\r\n value: props[key],\r\n enumerable: false,\r\n writable: false,\r\n configurable: true\r\n });\r\n }\r\n return target;\r\n});\n\n/**\r\n * Returns the global object associated with provided element.\r\n *\r\n * @param {Object} target\r\n * @returns {Object}\r\n */\r\nvar getWindowOf = (function (target) {\r\n // Assume that the element is an instance of Node, which means that it\r\n // has the \"ownerDocument\" property from which we can retrieve a\r\n // corresponding global object.\r\n var ownerGlobal = target && target.ownerDocument && target.ownerDocument.defaultView;\r\n // Return the local global object if it's not possible extract one from\r\n // provided element.\r\n return ownerGlobal || global$1;\r\n});\n\n// Placeholder of an empty content rectangle.\r\nvar emptyRect = createRectInit(0, 0, 0, 0);\r\n/**\r\n * Converts provided string to a number.\r\n *\r\n * @param {number|string} value\r\n * @returns {number}\r\n */\r\nfunction toFloat(value) {\r\n return parseFloat(value) || 0;\r\n}\r\n/**\r\n * Extracts borders size from provided styles.\r\n *\r\n * @param {CSSStyleDeclaration} styles\r\n * @param {...string} positions - Borders positions (top, right, ...)\r\n * @returns {number}\r\n */\r\nfunction getBordersSize(styles) {\r\n var positions = [];\r\n for (var _i = 1; _i < arguments.length; _i++) {\r\n positions[_i - 1] = arguments[_i];\r\n }\r\n return positions.reduce(function (size, position) {\r\n var value = styles['border-' + position + '-width'];\r\n return size + toFloat(value);\r\n }, 0);\r\n}\r\n/**\r\n * Extracts paddings sizes from provided styles.\r\n *\r\n * @param {CSSStyleDeclaration} styles\r\n * @returns {Object} Paddings box.\r\n */\r\nfunction getPaddings(styles) {\r\n var positions = ['top', 'right', 'bottom', 'left'];\r\n var paddings = {};\r\n for (var _i = 0, positions_1 = positions; _i < positions_1.length; _i++) {\r\n var position = positions_1[_i];\r\n var value = styles['padding-' + position];\r\n paddings[position] = toFloat(value);\r\n }\r\n return paddings;\r\n}\r\n/**\r\n * Calculates content rectangle of provided SVG element.\r\n *\r\n * @param {SVGGraphicsElement} target - Element content rectangle of which needs\r\n * to be calculated.\r\n * @returns {DOMRectInit}\r\n */\r\nfunction getSVGContentRect(target) {\r\n var bbox = target.getBBox();\r\n return createRectInit(0, 0, bbox.width, bbox.height);\r\n}\r\n/**\r\n * Calculates content rectangle of provided HTMLElement.\r\n *\r\n * @param {HTMLElement} target - Element for which to calculate the content rectangle.\r\n * @returns {DOMRectInit}\r\n */\r\nfunction getHTMLElementContentRect(target) {\r\n // Client width & height properties can't be\r\n // used exclusively as they provide rounded values.\r\n var clientWidth = target.clientWidth, clientHeight = target.clientHeight;\r\n // By this condition we can catch all non-replaced inline, hidden and\r\n // detached elements. Though elements with width & height properties less\r\n // than 0.5 will be discarded as well.\r\n //\r\n // Without it we would need to implement separate methods for each of\r\n // those cases and it's not possible to perform a precise and performance\r\n // effective test for hidden elements. E.g. even jQuery's ':visible' filter\r\n // gives wrong results for elements with width & height less than 0.5.\r\n if (!clientWidth && !clientHeight) {\r\n return emptyRect;\r\n }\r\n var styles = getWindowOf(target).getComputedStyle(target);\r\n var paddings = getPaddings(styles);\r\n var horizPad = paddings.left + paddings.right;\r\n var vertPad = paddings.top + paddings.bottom;\r\n // Computed styles of width & height are being used because they are the\r\n // only dimensions available to JS that contain non-rounded values. It could\r\n // be possible to utilize the getBoundingClientRect if only it's data wasn't\r\n // affected by CSS transformations let alone paddings, borders and scroll bars.\r\n var width = toFloat(styles.width), height = toFloat(styles.height);\r\n // Width & height include paddings and borders when the 'border-box' box\r\n // model is applied (except for IE).\r\n if (styles.boxSizing === 'border-box') {\r\n // Following conditions are required to handle Internet Explorer which\r\n // doesn't include paddings and borders to computed CSS dimensions.\r\n //\r\n // We can say that if CSS dimensions + paddings are equal to the \"client\"\r\n // properties then it's either IE, and thus we don't need to subtract\r\n // anything, or an element merely doesn't have paddings/borders styles.\r\n if (Math.round(width + horizPad) !== clientWidth) {\r\n width -= getBordersSize(styles, 'left', 'right') + horizPad;\r\n }\r\n if (Math.round(height + vertPad) !== clientHeight) {\r\n height -= getBordersSize(styles, 'top', 'bottom') + vertPad;\r\n }\r\n }\r\n // Following steps can't be applied to the document's root element as its\r\n // client[Width/Height] properties represent viewport area of the window.\r\n // Besides, it's as well not necessary as the itself neither has\r\n // rendered scroll bars nor it can be clipped.\r\n if (!isDocumentElement(target)) {\r\n // In some browsers (only in Firefox, actually) CSS width & height\r\n // include scroll bars size which can be removed at this step as scroll\r\n // bars are the only difference between rounded dimensions + paddings\r\n // and \"client\" properties, though that is not always true in Chrome.\r\n var vertScrollbar = Math.round(width + horizPad) - clientWidth;\r\n var horizScrollbar = Math.round(height + vertPad) - clientHeight;\r\n // Chrome has a rather weird rounding of \"client\" properties.\r\n // E.g. for an element with content width of 314.2px it sometimes gives\r\n // the client width of 315px and for the width of 314.7px it may give\r\n // 314px. And it doesn't happen all the time. So just ignore this delta\r\n // as a non-relevant.\r\n if (Math.abs(vertScrollbar) !== 1) {\r\n width -= vertScrollbar;\r\n }\r\n if (Math.abs(horizScrollbar) !== 1) {\r\n height -= horizScrollbar;\r\n }\r\n }\r\n return createRectInit(paddings.left, paddings.top, width, height);\r\n}\r\n/**\r\n * Checks whether provided element is an instance of the SVGGraphicsElement.\r\n *\r\n * @param {Element} target - Element to be checked.\r\n * @returns {boolean}\r\n */\r\nvar isSVGGraphicsElement = (function () {\r\n // Some browsers, namely IE and Edge, don't have the SVGGraphicsElement\r\n // interface.\r\n if (typeof SVGGraphicsElement !== 'undefined') {\r\n return function (target) { return target instanceof getWindowOf(target).SVGGraphicsElement; };\r\n }\r\n // If it's so, then check that element is at least an instance of the\r\n // SVGElement and that it has the \"getBBox\" method.\r\n // eslint-disable-next-line no-extra-parens\r\n return function (target) { return (target instanceof getWindowOf(target).SVGElement &&\r\n typeof target.getBBox === 'function'); };\r\n})();\r\n/**\r\n * Checks whether provided element is a document element ().\r\n *\r\n * @param {Element} target - Element to be checked.\r\n * @returns {boolean}\r\n */\r\nfunction isDocumentElement(target) {\r\n return target === getWindowOf(target).document.documentElement;\r\n}\r\n/**\r\n * Calculates an appropriate content rectangle for provided html or svg element.\r\n *\r\n * @param {Element} target - Element content rectangle of which needs to be calculated.\r\n * @returns {DOMRectInit}\r\n */\r\nfunction getContentRect(target) {\r\n if (!isBrowser) {\r\n return emptyRect;\r\n }\r\n if (isSVGGraphicsElement(target)) {\r\n return getSVGContentRect(target);\r\n }\r\n return getHTMLElementContentRect(target);\r\n}\r\n/**\r\n * Creates rectangle with an interface of the DOMRectReadOnly.\r\n * Spec: https://drafts.fxtf.org/geometry/#domrectreadonly\r\n *\r\n * @param {DOMRectInit} rectInit - Object with rectangle's x/y coordinates and dimensions.\r\n * @returns {DOMRectReadOnly}\r\n */\r\nfunction createReadOnlyRect(_a) {\r\n var x = _a.x, y = _a.y, width = _a.width, height = _a.height;\r\n // If DOMRectReadOnly is available use it as a prototype for the rectangle.\r\n var Constr = typeof DOMRectReadOnly !== 'undefined' ? DOMRectReadOnly : Object;\r\n var rect = Object.create(Constr.prototype);\r\n // Rectangle's properties are not writable and non-enumerable.\r\n defineConfigurable(rect, {\r\n x: x, y: y, width: width, height: height,\r\n top: y,\r\n right: x + width,\r\n bottom: height + y,\r\n left: x\r\n });\r\n return rect;\r\n}\r\n/**\r\n * Creates DOMRectInit object based on the provided dimensions and the x/y coordinates.\r\n * Spec: https://drafts.fxtf.org/geometry/#dictdef-domrectinit\r\n *\r\n * @param {number} x - X coordinate.\r\n * @param {number} y - Y coordinate.\r\n * @param {number} width - Rectangle's width.\r\n * @param {number} height - Rectangle's height.\r\n * @returns {DOMRectInit}\r\n */\r\nfunction createRectInit(x, y, width, height) {\r\n return { x: x, y: y, width: width, height: height };\r\n}\n\n/**\r\n * Class that is responsible for computations of the content rectangle of\r\n * provided DOM element and for keeping track of it's changes.\r\n */\r\nvar ResizeObservation = /** @class */ (function () {\r\n /**\r\n * Creates an instance of ResizeObservation.\r\n *\r\n * @param {Element} target - Element to be observed.\r\n */\r\n function ResizeObservation(target) {\r\n /**\r\n * Broadcasted width of content rectangle.\r\n *\r\n * @type {number}\r\n */\r\n this.broadcastWidth = 0;\r\n /**\r\n * Broadcasted height of content rectangle.\r\n *\r\n * @type {number}\r\n */\r\n this.broadcastHeight = 0;\r\n /**\r\n * Reference to the last observed content rectangle.\r\n *\r\n * @private {DOMRectInit}\r\n */\r\n this.contentRect_ = createRectInit(0, 0, 0, 0);\r\n this.target = target;\r\n }\r\n /**\r\n * Updates content rectangle and tells whether it's width or height properties\r\n * have changed since the last broadcast.\r\n *\r\n * @returns {boolean}\r\n */\r\n ResizeObservation.prototype.isActive = function () {\r\n var rect = getContentRect(this.target);\r\n this.contentRect_ = rect;\r\n return (rect.width !== this.broadcastWidth ||\r\n rect.height !== this.broadcastHeight);\r\n };\r\n /**\r\n * Updates 'broadcastWidth' and 'broadcastHeight' properties with a data\r\n * from the corresponding properties of the last observed content rectangle.\r\n *\r\n * @returns {DOMRectInit} Last observed content rectangle.\r\n */\r\n ResizeObservation.prototype.broadcastRect = function () {\r\n var rect = this.contentRect_;\r\n this.broadcastWidth = rect.width;\r\n this.broadcastHeight = rect.height;\r\n return rect;\r\n };\r\n return ResizeObservation;\r\n}());\n\nvar ResizeObserverEntry = /** @class */ (function () {\r\n /**\r\n * Creates an instance of ResizeObserverEntry.\r\n *\r\n * @param {Element} target - Element that is being observed.\r\n * @param {DOMRectInit} rectInit - Data of the element's content rectangle.\r\n */\r\n function ResizeObserverEntry(target, rectInit) {\r\n var contentRect = createReadOnlyRect(rectInit);\r\n // According to the specification following properties are not writable\r\n // and are also not enumerable in the native implementation.\r\n //\r\n // Property accessors are not being used as they'd require to define a\r\n // private WeakMap storage which may cause memory leaks in browsers that\r\n // don't support this type of collections.\r\n defineConfigurable(this, { target: target, contentRect: contentRect });\r\n }\r\n return ResizeObserverEntry;\r\n}());\n\nvar ResizeObserverSPI = /** @class */ (function () {\r\n /**\r\n * Creates a new instance of ResizeObserver.\r\n *\r\n * @param {ResizeObserverCallback} callback - Callback function that is invoked\r\n * when one of the observed elements changes it's content dimensions.\r\n * @param {ResizeObserverController} controller - Controller instance which\r\n * is responsible for the updates of observer.\r\n * @param {ResizeObserver} callbackCtx - Reference to the public\r\n * ResizeObserver instance which will be passed to callback function.\r\n */\r\n function ResizeObserverSPI(callback, controller, callbackCtx) {\r\n /**\r\n * Collection of resize observations that have detected changes in dimensions\r\n * of elements.\r\n *\r\n * @private {Array}\r\n */\r\n this.activeObservations_ = [];\r\n /**\r\n * Registry of the ResizeObservation instances.\r\n *\r\n * @private {Map}\r\n */\r\n this.observations_ = new MapShim();\r\n if (typeof callback !== 'function') {\r\n throw new TypeError('The callback provided as parameter 1 is not a function.');\r\n }\r\n this.callback_ = callback;\r\n this.controller_ = controller;\r\n this.callbackCtx_ = callbackCtx;\r\n }\r\n /**\r\n * Starts observing provided element.\r\n *\r\n * @param {Element} target - Element to be observed.\r\n * @returns {void}\r\n */\r\n ResizeObserverSPI.prototype.observe = function (target) {\r\n if (!arguments.length) {\r\n throw new TypeError('1 argument required, but only 0 present.');\r\n }\r\n // Do nothing if current environment doesn't have the Element interface.\r\n if (typeof Element === 'undefined' || !(Element instanceof Object)) {\r\n return;\r\n }\r\n if (!(target instanceof getWindowOf(target).Element)) {\r\n throw new TypeError('parameter 1 is not of type \"Element\".');\r\n }\r\n var observations = this.observations_;\r\n // Do nothing if element is already being observed.\r\n if (observations.has(target)) {\r\n return;\r\n }\r\n observations.set(target, new ResizeObservation(target));\r\n this.controller_.addObserver(this);\r\n // Force the update of observations.\r\n this.controller_.refresh();\r\n };\r\n /**\r\n * Stops observing provided element.\r\n *\r\n * @param {Element} target - Element to stop observing.\r\n * @returns {void}\r\n */\r\n ResizeObserverSPI.prototype.unobserve = function (target) {\r\n if (!arguments.length) {\r\n throw new TypeError('1 argument required, but only 0 present.');\r\n }\r\n // Do nothing if current environment doesn't have the Element interface.\r\n if (typeof Element === 'undefined' || !(Element instanceof Object)) {\r\n return;\r\n }\r\n if (!(target instanceof getWindowOf(target).Element)) {\r\n throw new TypeError('parameter 1 is not of type \"Element\".');\r\n }\r\n var observations = this.observations_;\r\n // Do nothing if element is not being observed.\r\n if (!observations.has(target)) {\r\n return;\r\n }\r\n observations.delete(target);\r\n if (!observations.size) {\r\n this.controller_.removeObserver(this);\r\n }\r\n };\r\n /**\r\n * Stops observing all elements.\r\n *\r\n * @returns {void}\r\n */\r\n ResizeObserverSPI.prototype.disconnect = function () {\r\n this.clearActive();\r\n this.observations_.clear();\r\n this.controller_.removeObserver(this);\r\n };\r\n /**\r\n * Collects observation instances the associated element of which has changed\r\n * it's content rectangle.\r\n *\r\n * @returns {void}\r\n */\r\n ResizeObserverSPI.prototype.gatherActive = function () {\r\n var _this = this;\r\n this.clearActive();\r\n this.observations_.forEach(function (observation) {\r\n if (observation.isActive()) {\r\n _this.activeObservations_.push(observation);\r\n }\r\n });\r\n };\r\n /**\r\n * Invokes initial callback function with a list of ResizeObserverEntry\r\n * instances collected from active resize observations.\r\n *\r\n * @returns {void}\r\n */\r\n ResizeObserverSPI.prototype.broadcastActive = function () {\r\n // Do nothing if observer doesn't have active observations.\r\n if (!this.hasActive()) {\r\n return;\r\n }\r\n var ctx = this.callbackCtx_;\r\n // Create ResizeObserverEntry instance for every active observation.\r\n var entries = this.activeObservations_.map(function (observation) {\r\n return new ResizeObserverEntry(observation.target, observation.broadcastRect());\r\n });\r\n this.callback_.call(ctx, entries, ctx);\r\n this.clearActive();\r\n };\r\n /**\r\n * Clears the collection of active observations.\r\n *\r\n * @returns {void}\r\n */\r\n ResizeObserverSPI.prototype.clearActive = function () {\r\n this.activeObservations_.splice(0);\r\n };\r\n /**\r\n * Tells whether observer has active observations.\r\n *\r\n * @returns {boolean}\r\n */\r\n ResizeObserverSPI.prototype.hasActive = function () {\r\n return this.activeObservations_.length > 0;\r\n };\r\n return ResizeObserverSPI;\r\n}());\n\n// Registry of internal observers. If WeakMap is not available use current shim\r\n// for the Map collection as it has all required methods and because WeakMap\r\n// can't be fully polyfilled anyway.\r\nvar observers = typeof WeakMap !== 'undefined' ? new WeakMap() : new MapShim();\r\n/**\r\n * ResizeObserver API. Encapsulates the ResizeObserver SPI implementation\r\n * exposing only those methods and properties that are defined in the spec.\r\n */\r\nvar ResizeObserver = /** @class */ (function () {\r\n /**\r\n * Creates a new instance of ResizeObserver.\r\n *\r\n * @param {ResizeObserverCallback} callback - Callback that is invoked when\r\n * dimensions of the observed elements change.\r\n */\r\n function ResizeObserver(callback) {\r\n if (!(this instanceof ResizeObserver)) {\r\n throw new TypeError('Cannot call a class as a function.');\r\n }\r\n if (!arguments.length) {\r\n throw new TypeError('1 argument required, but only 0 present.');\r\n }\r\n var controller = ResizeObserverController.getInstance();\r\n var observer = new ResizeObserverSPI(callback, controller, this);\r\n observers.set(this, observer);\r\n }\r\n return ResizeObserver;\r\n}());\r\n// Expose public methods of ResizeObserver.\r\n[\r\n 'observe',\r\n 'unobserve',\r\n 'disconnect'\r\n].forEach(function (method) {\r\n ResizeObserver.prototype[method] = function () {\r\n var _a;\r\n return (_a = observers.get(this))[method].apply(_a, arguments);\r\n };\r\n});\n\nvar index = (function () {\r\n // Export existing implementation if available.\r\n if (typeof global$1.ResizeObserver !== 'undefined') {\r\n return global$1.ResizeObserver;\r\n }\r\n return ResizeObserver;\r\n})();\n\nexport default index;\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport ResizeObserver from \"resize-observer-polyfill\"\nimport {\n NEVER,\n Observable,\n Subject,\n defer,\n filter,\n finalize,\n map,\n merge,\n of,\n shareReplay,\n startWith,\n switchMap,\n tap\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Element offset\n */\nexport interface ElementSize {\n width: number /* Element width */\n height: number /* Element height */\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Resize observer entry subject\n */\nconst entry$ = new Subject()\n\n/**\n * Resize observer observable\n *\n * This observable will create a `ResizeObserver` on the first subscription\n * and will automatically terminate it when there are no more subscribers.\n * It's quite important to centralize observation in a single `ResizeObserver`,\n * as the performance difference can be quite dramatic, as the link shows.\n *\n * @see https://bit.ly/3iIYfEm - Google Groups on performance\n */\nconst observer$ = defer(() => of(\n new ResizeObserver(entries => {\n for (const entry of entries)\n entry$.next(entry)\n })\n))\n .pipe(\n switchMap(observer => merge(NEVER, of(observer))\n .pipe(\n finalize(() => observer.disconnect())\n )\n ),\n shareReplay(1)\n )\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve element size\n *\n * @param el - Element\n *\n * @returns Element size\n */\nexport function getElementSize(\n el: HTMLElement\n): ElementSize {\n return {\n width: el.offsetWidth,\n height: el.offsetHeight\n }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch element size\n *\n * This function returns an observable that subscribes to a single internal\n * instance of `ResizeObserver` upon subscription, and emit resize events until\n * termination. Note that this function should not be called with the same\n * element twice, as the first unsubscription will terminate observation.\n *\n * Sadly, we can't use the `DOMRect` objects returned by the observer, because\n * we need the emitted values to be consistent with `getElementSize`, which will\n * return the used values (rounded) and not actual values (unrounded). Thus, we\n * use the `offset*` properties. See the linked GitHub issue.\n *\n * @see https://bit.ly/3m0k3he - GitHub issue\n *\n * @param el - Element\n *\n * @returns Element size observable\n */\nexport function watchElementSize(\n el: HTMLElement\n): Observable {\n return observer$\n .pipe(\n tap(observer => observer.observe(el)),\n switchMap(observer => entry$\n .pipe(\n filter(({ target }) => target === el),\n finalize(() => observer.unobserve(el)),\n map(() => getElementSize(el))\n )\n ),\n startWith(getElementSize(el))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { ElementSize } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve element content size (= scroll width and height)\n *\n * @param el - Element\n *\n * @returns Element content size\n */\nexport function getElementContentSize(\n el: HTMLElement\n): ElementSize {\n return {\n width: el.scrollWidth,\n height: el.scrollHeight\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n NEVER,\n Observable,\n Subject,\n defer,\n distinctUntilChanged,\n filter,\n finalize,\n map,\n merge,\n of,\n shareReplay,\n switchMap,\n tap\n} from \"rxjs\"\n\nimport {\n getElementContentSize,\n getElementSize,\n watchElementContentOffset\n} from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Intersection observer entry subject\n */\nconst entry$ = new Subject()\n\n/**\n * Intersection observer observable\n *\n * This observable will create an `IntersectionObserver` on first subscription\n * and will automatically terminate it when there are no more subscribers.\n *\n * @see https://bit.ly/3iIYfEm - Google Groups on performance\n */\nconst observer$ = defer(() => of(\n new IntersectionObserver(entries => {\n for (const entry of entries)\n entry$.next(entry)\n }, {\n threshold: 0\n })\n))\n .pipe(\n switchMap(observer => merge(NEVER, of(observer))\n .pipe(\n finalize(() => observer.disconnect())\n )\n ),\n shareReplay(1)\n )\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch element visibility\n *\n * @param el - Element\n *\n * @returns Element visibility observable\n */\nexport function watchElementVisibility(\n el: HTMLElement\n): Observable {\n return observer$\n .pipe(\n tap(observer => observer.observe(el)),\n switchMap(observer => entry$\n .pipe(\n filter(({ target }) => target === el),\n finalize(() => observer.unobserve(el)),\n map(({ isIntersecting }) => isIntersecting)\n )\n )\n )\n}\n\n/**\n * Watch element boundary\n *\n * This function returns an observable which emits whether the bottom content\n * boundary (= scroll offset) of an element is within a certain threshold.\n *\n * @param el - Element\n * @param threshold - Threshold\n *\n * @returns Element boundary observable\n */\nexport function watchElementBoundary(\n el: HTMLElement, threshold = 16\n): Observable {\n return watchElementContentOffset(el)\n .pipe(\n map(({ y }) => {\n const visible = getElementSize(el)\n const content = getElementContentSize(el)\n return y >= (\n content.height - visible.height - threshold\n )\n }),\n distinctUntilChanged()\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n fromEvent,\n map,\n startWith\n} from \"rxjs\"\n\nimport { getElement } from \"../element\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Toggle\n */\nexport type Toggle =\n | \"drawer\" /* Toggle for drawer */\n | \"search\" /* Toggle for search */\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Toggle map\n */\nconst toggles: Record = {\n drawer: getElement(\"[data-md-toggle=drawer]\"),\n search: getElement(\"[data-md-toggle=search]\")\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve the value of a toggle\n *\n * @param name - Toggle\n *\n * @returns Toggle value\n */\nexport function getToggle(name: Toggle): boolean {\n return toggles[name].checked\n}\n\n/**\n * Set toggle\n *\n * Simulating a click event seems to be the most cross-browser compatible way\n * of changing the value while also emitting a `change` event. Before, Material\n * used `CustomEvent` to programmatically change the value of a toggle, but this\n * is a much simpler and cleaner solution which doesn't require a polyfill.\n *\n * @param name - Toggle\n * @param value - Toggle value\n */\nexport function setToggle(name: Toggle, value: boolean): void {\n if (toggles[name].checked !== value)\n toggles[name].click()\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch toggle\n *\n * @param name - Toggle\n *\n * @returns Toggle value observable\n */\nexport function watchToggle(name: Toggle): Observable {\n const el = toggles[name]\n return fromEvent(el, \"change\")\n .pipe(\n map(() => el.checked),\n startWith(el.checked)\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n filter,\n fromEvent,\n map,\n share\n} from \"rxjs\"\n\nimport { getActiveElement } from \"../element\"\nimport { getToggle } from \"../toggle\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Keyboard mode\n */\nexport type KeyboardMode =\n | \"global\" /* Global */\n | \"search\" /* Search is open */\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Keyboard\n */\nexport interface Keyboard {\n mode: KeyboardMode /* Keyboard mode */\n type: string /* Key type */\n claim(): void /* Key claim */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Check whether an element may receive keyboard input\n *\n * @param el - Element\n * @param type - Key type\n *\n * @returns Test result\n */\nfunction isSusceptibleToKeyboard(\n el: HTMLElement, type: string\n): boolean {\n switch (el.constructor) {\n\n /* Input elements */\n case HTMLInputElement:\n /* @ts-expect-error - omit unnecessary type cast */\n if (el.type === \"radio\")\n return /^Arrow/.test(type)\n else\n return true\n\n /* Select element and textarea */\n case HTMLSelectElement:\n case HTMLTextAreaElement:\n return true\n\n /* Everything else */\n default:\n return el.isContentEditable\n }\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch keyboard\n *\n * @returns Keyboard observable\n */\nexport function watchKeyboard(): Observable {\n return fromEvent(window, \"keydown\")\n .pipe(\n filter(ev => !(ev.metaKey || ev.ctrlKey)),\n map(ev => ({\n mode: getToggle(\"search\") ? \"search\" : \"global\",\n type: ev.key,\n claim() {\n ev.preventDefault()\n ev.stopPropagation()\n }\n } as Keyboard)),\n filter(({ mode, type }) => {\n if (mode === \"global\") {\n const active = getActiveElement()\n if (typeof active !== \"undefined\")\n return !isSusceptibleToKeyboard(active, type)\n }\n return true\n }),\n share()\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { Subject } from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve location\n *\n * This function returns a `URL` object (and not `Location`) to normalize the\n * typings across the application. Furthermore, locations need to be tracked\n * without setting them and `Location` is a singleton which represents the\n * current location.\n *\n * @returns URL\n */\nexport function getLocation(): URL {\n return new URL(location.href)\n}\n\n/**\n * Set location\n *\n * @param url - URL to change to\n */\nexport function setLocation(url: URL): void {\n location.href = url.href\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch location\n *\n * @returns Location subject\n */\nexport function watchLocation(): Subject {\n return new Subject()\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { JSX as JSXInternal } from \"preact\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * HTML attributes\n */\ntype Attributes =\n & JSXInternal.HTMLAttributes\n & JSXInternal.SVGAttributes\n & Record\n\n/**\n * Child element\n */\ntype Child =\n | HTMLElement\n | Text\n | string\n | number\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Append a child node to an element\n *\n * @param el - Element\n * @param child - Child node(s)\n */\nfunction appendChild(el: HTMLElement, child: Child | Child[]): void {\n\n /* Handle primitive types (including raw HTML) */\n if (typeof child === \"string\" || typeof child === \"number\") {\n el.innerHTML += child.toString()\n\n /* Handle nodes */\n } else if (child instanceof Node) {\n el.appendChild(child)\n\n /* Handle nested children */\n } else if (Array.isArray(child)) {\n for (const node of child)\n appendChild(el, node)\n }\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * JSX factory\n *\n * @template T - Element type\n *\n * @param tag - HTML tag\n * @param attributes - HTML attributes\n * @param children - Child elements\n *\n * @returns Element\n */\nexport function h(\n tag: T, attributes?: Attributes | null, ...children: Child[]\n): HTMLElementTagNameMap[T]\n\nexport function h(\n tag: string, attributes?: Attributes | null, ...children: Child[]\n): T\n\nexport function h(\n tag: string, attributes?: Attributes | null, ...children: Child[]\n): T {\n const el = document.createElement(tag)\n\n /* Set attributes, if any */\n if (attributes)\n for (const attr of Object.keys(attributes))\n if (typeof attributes[attr] !== \"boolean\")\n el.setAttribute(attr, attributes[attr])\n else if (attributes[attr])\n el.setAttribute(attr, \"\")\n\n /* Append child nodes */\n for (const child of children)\n appendChild(el, child)\n\n /* Return element */\n return el as T\n}\n\n/* ----------------------------------------------------------------------------\n * Namespace\n * ------------------------------------------------------------------------- */\n\nexport declare namespace h {\n namespace JSX {\n type Element = HTMLElement\n type IntrinsicElements = JSXInternal.IntrinsicElements\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Truncate a string after the given number of characters\n *\n * This is not a very reasonable approach, since the summaries kind of suck.\n * It would be better to create something more intelligent, highlighting the\n * search occurrences and making a better summary out of it, but this note was\n * written three years ago, so who knows if we'll ever fix it.\n *\n * @param value - Value to be truncated\n * @param n - Number of characters\n *\n * @returns Truncated value\n */\nexport function truncate(value: string, n: number): string {\n let i = n\n if (value.length > i) {\n while (value[i] !== \" \" && --i > 0) { /* keep eating */ }\n return `${value.substring(0, i)}...`\n }\n return value\n}\n\n/**\n * Round a number for display with repository facts\n *\n * This is a reverse-engineered version of GitHub's weird rounding algorithm\n * for stars, forks and all other numbers. While all numbers below `1,000` are\n * returned as-is, bigger numbers are converted to fixed numbers:\n *\n * - `1,049` => `1k`\n * - `1,050` => `1.1k`\n * - `1,949` => `1.9k`\n * - `1,950` => `2k`\n *\n * @param value - Original value\n *\n * @returns Rounded value\n */\nexport function round(value: number): string {\n if (value > 999) {\n const digits = +((value - 950) % 1000 > 99)\n return `${((value + 0.000001) / 1000).toFixed(digits)}k`\n } else {\n return value.toString()\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n filter,\n fromEvent,\n map,\n shareReplay,\n startWith\n} from \"rxjs\"\n\nimport { getOptionalElement } from \"~/browser\"\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve location hash\n *\n * @returns Location hash\n */\nexport function getLocationHash(): string {\n return location.hash.substring(1)\n}\n\n/**\n * Set location hash\n *\n * Setting a new fragment identifier via `location.hash` will have no effect\n * if the value doesn't change. When a new fragment identifier is set, we want\n * the browser to target the respective element at all times, which is why we\n * use this dirty little trick.\n *\n * @param hash - Location hash\n */\nexport function setLocationHash(hash: string): void {\n const el = h(\"a\", { href: hash })\n el.addEventListener(\"click\", ev => ev.stopPropagation())\n el.click()\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch location hash\n *\n * @returns Location hash observable\n */\nexport function watchLocationHash(): Observable {\n return fromEvent(window, \"hashchange\")\n .pipe(\n map(getLocationHash),\n startWith(getLocationHash()),\n filter(hash => hash.length > 0),\n shareReplay(1)\n )\n}\n\n/**\n * Watch location target\n *\n * @returns Location target observable\n */\nexport function watchLocationTarget(): Observable {\n return watchLocationHash()\n .pipe(\n map(id => getOptionalElement(`[id=\"${id}\"]`)!),\n filter(el => typeof el !== \"undefined\")\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n fromEvent,\n fromEventPattern,\n map,\n merge,\n startWith,\n switchMap\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch media query\n *\n * Note that although `MediaQueryList.addListener` is deprecated we have to\n * use it, because it's the only way to ensure proper downward compatibility.\n *\n * @see https://bit.ly/3dUBH2m - GitHub issue\n *\n * @param query - Media query\n *\n * @returns Media observable\n */\nexport function watchMedia(query: string): Observable {\n const media = matchMedia(query)\n return fromEventPattern(next => (\n media.addListener(() => next(media.matches))\n ))\n .pipe(\n startWith(media.matches)\n )\n}\n\n/**\n * Watch print mode\n *\n * @returns Print observable\n */\nexport function watchPrint(): Observable {\n const media = matchMedia(\"print\")\n return merge(\n fromEvent(window, \"beforeprint\").pipe(map(() => true)),\n fromEvent(window, \"afterprint\").pipe(map(() => false))\n )\n .pipe(\n startWith(media.matches)\n )\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Toggle an observable with a media observable\n *\n * @template T - Data type\n *\n * @param query$ - Media observable\n * @param factory - Observable factory\n *\n * @returns Toggled observable\n */\nexport function at(\n query$: Observable, factory: () => Observable\n): Observable {\n return query$\n .pipe(\n switchMap(active => active ? factory() : EMPTY)\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n catchError,\n from,\n map,\n of,\n shareReplay,\n switchMap,\n throwError\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch the given URL\n *\n * If the request fails (e.g. when dispatched from `file://` locations), the\n * observable will complete without emitting a value.\n *\n * @param url - Request URL\n * @param options - Options\n *\n * @returns Response observable\n */\nexport function request(\n url: URL | string, options: RequestInit = { credentials: \"same-origin\" }\n): Observable {\n return from(fetch(`${url}`, options))\n .pipe(\n catchError(() => EMPTY),\n switchMap(res => res.status !== 200\n ? throwError(() => new Error(res.statusText))\n : of(res)\n )\n )\n}\n\n/**\n * Fetch JSON from the given URL\n *\n * @template T - Data type\n *\n * @param url - Request URL\n * @param options - Options\n *\n * @returns Data observable\n */\nexport function requestJSON(\n url: URL | string, options?: RequestInit\n): Observable {\n return request(url, options)\n .pipe(\n switchMap(res => res.json()),\n shareReplay(1)\n )\n}\n\n/**\n * Fetch XML from the given URL\n *\n * @param url - Request URL\n * @param options - Options\n *\n * @returns Data observable\n */\nexport function requestXML(\n url: URL | string, options?: RequestInit\n): Observable {\n const dom = new DOMParser()\n return request(url, options)\n .pipe(\n switchMap(res => res.text()),\n map(res => dom.parseFromString(res, \"text/xml\")),\n shareReplay(1)\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n defer,\n finalize,\n fromEvent,\n map,\n merge,\n switchMap,\n take,\n throwError\n} from \"rxjs\"\n\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create and load a `script` element\n *\n * This function returns an observable that will emit when the script was\n * successfully loaded, or throw an error if it didn't.\n *\n * @param src - Script URL\n *\n * @returns Script observable\n */\nexport function watchScript(src: string): Observable {\n const script = h(\"script\", { src })\n return defer(() => {\n document.head.appendChild(script)\n return merge(\n fromEvent(script, \"load\"),\n fromEvent(script, \"error\")\n .pipe(\n switchMap(() => (\n throwError(() => new ReferenceError(`Invalid script: ${src}`))\n ))\n )\n )\n .pipe(\n map(() => undefined),\n finalize(() => document.head.removeChild(script)),\n take(1)\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n fromEvent,\n map,\n merge,\n startWith\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Viewport offset\n */\nexport interface ViewportOffset {\n x: number /* Horizontal offset */\n y: number /* Vertical offset */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve viewport offset\n *\n * On iOS Safari, viewport offset can be negative due to overflow scrolling.\n * As this may induce strange behaviors downstream, we'll just limit it to 0.\n *\n * @returns Viewport offset\n */\nexport function getViewportOffset(): ViewportOffset {\n return {\n x: Math.max(0, scrollX),\n y: Math.max(0, scrollY)\n }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch viewport offset\n *\n * @returns Viewport offset observable\n */\nexport function watchViewportOffset(): Observable {\n return merge(\n fromEvent(window, \"scroll\", { passive: true }),\n fromEvent(window, \"resize\", { passive: true })\n )\n .pipe(\n map(getViewportOffset),\n startWith(getViewportOffset())\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n fromEvent,\n map,\n startWith\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Viewport size\n */\nexport interface ViewportSize {\n width: number /* Viewport width */\n height: number /* Viewport height */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve viewport size\n *\n * @returns Viewport size\n */\nexport function getViewportSize(): ViewportSize {\n return {\n width: innerWidth,\n height: innerHeight\n }\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Watch viewport size\n *\n * @returns Viewport size observable\n */\nexport function watchViewportSize(): Observable {\n return fromEvent(window, \"resize\", { passive: true })\n .pipe(\n map(getViewportSize),\n startWith(getViewportSize())\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n combineLatest,\n map,\n shareReplay\n} from \"rxjs\"\n\nimport {\n ViewportOffset,\n watchViewportOffset\n} from \"../offset\"\nimport {\n ViewportSize,\n watchViewportSize\n} from \"../size\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Viewport\n */\nexport interface Viewport {\n offset: ViewportOffset /* Viewport offset */\n size: ViewportSize /* Viewport size */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch viewport\n *\n * @returns Viewport observable\n */\nexport function watchViewport(): Observable {\n return combineLatest([\n watchViewportOffset(),\n watchViewportSize()\n ])\n .pipe(\n map(([offset, size]) => ({ offset, size })),\n shareReplay(1)\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n combineLatest,\n distinctUntilKeyChanged,\n map\n} from \"rxjs\"\n\nimport { Header } from \"~/components\"\n\nimport { getElementOffset } from \"../../element\"\nimport { Viewport } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
/* Header observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch viewport relative to element\n *\n * @param el - Element\n * @param options - Options\n *\n * @returns Viewport observable\n */\nexport function watchViewportAt(\n el: HTMLElement, { viewport$, header$ }: WatchOptions\n): Observable {\n const size$ = viewport$\n .pipe(\n distinctUntilKeyChanged(\"size\")\n )\n\n /* Compute element offset */\n const offset$ = combineLatest([size$, header$])\n .pipe(\n map(() => getElementOffset(el))\n )\n\n /* Compute relative viewport, return hot observable */\n return combineLatest([header$, viewport$, offset$])\n .pipe(\n map(([{ height }, { offset, size }, { x, y }]) => ({\n offset: {\n x: offset.x - x,\n y: offset.y - y + height\n },\n size\n }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n fromEvent,\n map,\n share,\n switchMap,\n tap,\n throttle\n} from \"rxjs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Worker message\n */\nexport interface WorkerMessage {\n type: unknown /* Message type */\n data?: unknown /* Message data */\n}\n\n/**\n * Worker handler\n *\n * @template T - Message type\n */\nexport interface WorkerHandler<\n T extends WorkerMessage\n> {\n tx$: Subject /* Message transmission subject */\n rx$: Observable /* Message receive observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n *\n * @template T - Worker message type\n */\ninterface WatchOptions {\n tx$: Observable /* Message transmission observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch a web worker\n *\n * This function returns an observable that sends all values emitted by the\n * message observable to the web worker. Web worker communication is expected\n * to be bidirectional (request-response) and synchronous. Messages that are\n * emitted during a pending request are throttled, the last one is emitted.\n *\n * @param worker - Web worker\n * @param options - Options\n *\n * @returns Worker message observable\n */\nexport function watchWorker(\n worker: Worker, { tx$ }: WatchOptions\n): Observable {\n\n /* Intercept messages from worker-like objects */\n const rx$ = fromEvent(worker, \"message\")\n .pipe(\n map(({ data }) => data as T)\n )\n\n /* Send and receive messages, return hot observable */\n return tx$\n .pipe(\n throttle(() => rx$, { leading: true, trailing: true }),\n tap(message => worker.postMessage(message)),\n switchMap(() => rx$),\n share()\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { getElement, getLocation } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Feature flag\n */\nexport type Flag =\n | \"content.code.annotate\" /* Code annotations */\n | \"header.autohide\" /* Hide header */\n | \"navigation.expand\" /* Automatic expansion */\n | \"navigation.indexes\" /* Section pages */\n | \"navigation.instant\" /* Instant loading */\n | \"navigation.sections\" /* Section navigation */\n | \"navigation.tabs\" /* Tabs navigation */\n | \"navigation.tabs.sticky\" /* Tabs navigation (sticky) */\n | \"navigation.top\" /* Back-to-top button */\n | \"navigation.tracking\" /* Anchor tracking */\n | \"search.highlight\" /* Search highlighting */\n | \"search.share\" /* Search sharing */\n | \"search.suggest\" /* Search suggestions */\n | \"toc.integrate\" /* Integrated table of contents */\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Translation\n */\nexport type Translation =\n | \"clipboard.copy\" /* Copy to clipboard */\n | \"clipboard.copied\" /* Copied to clipboard */\n | \"search.config.lang\" /* Search language */\n | \"search.config.pipeline\" /* Search pipeline */\n | \"search.config.separator\" /* Search separator */\n | \"search.placeholder\" /* Search */\n | \"search.result.placeholder\" /* Type to start searching */\n | \"search.result.none\" /* No matching documents */\n | \"search.result.one\" /* 1 matching document */\n | \"search.result.other\" /* # matching documents */\n | \"search.result.more.one\" /* 1 more on this page */\n | \"search.result.more.other\" /* # more on this page */\n | \"search.result.term.missing\" /* Missing */\n | \"select.version.title\" /* Version selector */\n\n/**\n * Translations\n */\nexport type Translations = Record\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Versioning\n */\nexport interface Versioning {\n provider: \"mike\" /* Version provider */\n default?: string /* Default version */\n}\n\n/**\n * Configuration\n */\nexport interface Config {\n base: string /* Base URL */\n features: Flag[] /* Feature flags */\n translations: Translations /* Translations */\n search: string /* Search worker URL */\n version?: Versioning /* Versioning */\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve global configuration and make base URL absolute\n */\nconst script = getElement(\"#__config\")\nconst config: Config = JSON.parse(script.textContent!)\nconfig.base = `${new URL(config.base, getLocation())}`\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve global configuration\n *\n * @returns Global configuration\n */\nexport function configuration(): Config {\n return config\n}\n\n/**\n * Check whether a feature flag is enabled\n *\n * @param flag - Feature flag\n *\n * @returns Test result\n */\nexport function feature(flag: Flag): boolean {\n return config.features.includes(flag)\n}\n\n/**\n * Retrieve the translation for the given key\n *\n * @param key - Key to be translated\n * @param value - Positional value, if any\n *\n * @returns Translation\n */\nexport function translation(\n key: Translation, value?: string | number\n): string {\n return typeof value !== \"undefined\"\n ? config.translations[key].replace(\"#\", value.toString())\n : config.translations[key]\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { getElement, getElements } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Component type\n */\nexport type ComponentType =\n | \"announce\" /* Announcement bar */\n | \"container\" /* Container */\n | \"content\" /* Content */\n | \"dialog\" /* Dialog */\n | \"header\" /* Header */\n | \"header-title\" /* Header title */\n | \"header-topic\" /* Header topic */\n | \"main\" /* Main area */\n | \"outdated\" /* Version warning */\n | \"palette\" /* Color palette */\n | \"search\" /* Search */\n | \"search-query\" /* Search input */\n | \"search-result\" /* Search results */\n | \"search-share\" /* Search sharing */\n | \"search-suggest\" /* Search suggestions */\n | \"sidebar\" /* Sidebar */\n | \"skip\" /* Skip link */\n | \"source\" /* Repository information */\n | \"tabs\" /* Navigation tabs */\n | \"toc\" /* Table of contents */\n | \"top\" /* Back-to-top button */\n\n/**\n * Component\n *\n * @template T - Component type\n * @template U - Reference type\n */\nexport type Component<\n T extends {} = {},\n U extends HTMLElement = HTMLElement\n> =\n T & {\n ref: U /* Component reference */\n }\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Component type map\n */\ninterface ComponentTypeMap {\n \"announce\": HTMLElement /* Announcement bar */\n \"container\": HTMLElement /* Container */\n \"content\": HTMLElement /* Content */\n \"dialog\": HTMLElement /* Dialog */\n \"header\": HTMLElement /* Header */\n \"header-title\": HTMLElement /* Header title */\n \"header-topic\": HTMLElement /* Header topic */\n \"main\": HTMLElement /* Main area */\n \"outdated\": HTMLElement /* Version warning */\n \"palette\": HTMLElement /* Color palette */\n \"search\": HTMLElement /* Search */\n \"search-query\": HTMLInputElement /* Search input */\n \"search-result\": HTMLElement /* Search results */\n \"search-share\": HTMLAnchorElement /* Search sharing */\n \"search-suggest\": HTMLElement /* Search suggestions */\n \"sidebar\": HTMLElement /* Sidebar */\n \"skip\": HTMLAnchorElement /* Skip link */\n \"source\": HTMLAnchorElement /* Repository information */\n \"tabs\": HTMLElement /* Navigation tabs */\n \"toc\": HTMLElement /* Table of contents */\n \"top\": HTMLAnchorElement /* Back-to-top button */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve the element for a given component or throw a reference error\n *\n * @template T - Component type\n *\n * @param type - Component type\n * @param node - Node of reference\n *\n * @returns Element\n */\nexport function getComponentElement(\n type: T, node: ParentNode = document\n): ComponentTypeMap[T] {\n return getElement(`[data-md-component=${type}]`, node)\n}\n\n/**\n * Retrieve all elements for a given component\n *\n * @template T - Component type\n *\n * @param type - Component type\n * @param node - Node of reference\n *\n * @returns Elements\n */\nexport function getComponentElements(\n type: T, node: ParentNode = document\n): ComponentTypeMap[T][] {\n return getElements(`[data-md-component=${type}]`, node)\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport ClipboardJS from \"clipboard\"\nimport {\n EMPTY,\n Observable,\n Subject,\n defer,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n filter,\n finalize,\n map,\n mergeWith,\n switchMap,\n take,\n takeLast,\n takeUntil,\n tap\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n getElementContentSize,\n watchElementSize,\n watchElementVisibility\n} from \"~/browser\"\nimport { renderClipboardButton } from \"~/templates\"\n\nimport { Component } from \"../../../_\"\nimport {\n Annotation,\n mountAnnotationList\n} from \"../../annotation\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Code block\n */\nexport interface CodeBlock {\n scrollable: boolean /* Code block overflows */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n print$: Observable /* Media print observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Global sequence number for Clipboard.js integration\n */\nlet sequence = 0\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Find candidate list element directly following a code block\n *\n * @param el - Code block element\n *\n * @returns List element or nothing\n */\nfunction findCandidateList(el: HTMLElement): HTMLElement | undefined {\n if (el.nextElementSibling) {\n const sibling = el.nextElementSibling as HTMLElement\n if (sibling.tagName === \"OL\")\n return sibling\n\n /* Skip empty paragraphs - see https://bit.ly/3r4ZJ2O */\n else if (sibling.tagName === \"P\" && !sibling.children.length)\n return findCandidateList(sibling)\n }\n\n /* Everything else */\n return undefined\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch code block\n *\n * This function monitors size changes of the viewport, as well as switches of\n * content tabs with embedded code blocks, as both may trigger overflow.\n *\n * @param el - Code block element\n *\n * @returns Code block observable\n */\nexport function watchCodeBlock(\n el: HTMLElement\n): Observable {\n return watchElementSize(el)\n .pipe(\n map(({ width }) => {\n const content = getElementContentSize(el)\n return {\n scrollable: content.width > width\n }\n }),\n distinctUntilKeyChanged(\"scrollable\")\n )\n}\n\n/**\n * Mount code block\n *\n * This function ensures that an overflowing code block is focusable through\n * keyboard, so it can be scrolled without a mouse to improve on accessibility.\n * Furthermore, if code annotations are enabled, they are mounted if and only\n * if the code block is currently visible, e.g., not in a hidden content tab.\n *\n * @param el - Code block element\n * @param options - Options\n *\n * @returns Code block and annotation component observable\n */\nexport function mountCodeBlock(\n el: HTMLElement, options: MountOptions\n): Observable> {\n const { matches: hover } = matchMedia(\"(hover)\")\n\n /* Defer mounting of code block - see https://bit.ly/3vHVoVD */\n const factory$ = defer(() => {\n const push$ = new Subject()\n push$.subscribe(({ scrollable }) => {\n if (scrollable && hover)\n el.setAttribute(\"tabindex\", \"0\")\n else\n el.removeAttribute(\"tabindex\")\n })\n\n /* Render button for Clipboard.js integration */\n if (ClipboardJS.isSupported()) {\n const parent = el.closest(\"pre\")!\n parent.id = `__code_${++sequence}`\n parent.insertBefore(\n renderClipboardButton(parent.id),\n el\n )\n }\n\n /* Handle code annotations */\n const container = el.closest(\".highlight\")\n if (container instanceof HTMLElement) {\n const list = findCandidateList(container)\n\n /* Mount code annotations, if enabled */\n if (typeof list !== \"undefined\" && (\n container.classList.contains(\"annotate\") ||\n feature(\"content.code.annotate\")\n )) {\n const annotations$ = mountAnnotationList(list, el, options)\n\n /* Create and return component */\n return watchCodeBlock(el)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state })),\n mergeWith(\n watchElementSize(container)\n .pipe(\n takeUntil(push$.pipe(takeLast(1))),\n map(({ width, height }) => width && height),\n distinctUntilChanged(),\n switchMap(active => active ? annotations$ : EMPTY)\n )\n )\n )\n }\n }\n\n /* Create and return component */\n return watchCodeBlock(el)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n\n /* Mount code block on first sight */\n return watchElementVisibility(el)\n .pipe(\n filter(visible => visible),\n take(1),\n switchMap(() => factory$)\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render an empty annotation\n *\n * @param id - Annotation identifier\n *\n * @returns Element\n */\nexport function renderAnnotation(id: number): HTMLElement {\n return (\n \n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { translation } from \"~/_\"\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a 'copy-to-clipboard' button\n *\n * @param id - Unique identifier\n *\n * @returns Element\n */\nexport function renderClipboardButton(id: string): HTMLElement {\n return (\n code`}\n >\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { ComponentChild } from \"preact\"\n\nimport { feature, translation } from \"~/_\"\nimport {\n SearchDocument,\n SearchMetadata,\n SearchResultItem\n} from \"~/integrations/search\"\nimport { h, truncate } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Render flag\n */\nconst enum Flag {\n TEASER = 1, /* Render teaser */\n PARENT = 2 /* Render as parent */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper function\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a search document\n *\n * @param document - Search document\n * @param flag - Render flags\n *\n * @returns Element\n */\nfunction renderSearchDocument(\n document: SearchDocument & SearchMetadata, flag: Flag\n): HTMLElement {\n const parent = flag & Flag.PARENT\n const teaser = flag & Flag.TEASER\n\n /* Render missing query terms */\n const missing = Object.keys(document.terms)\n .filter(key => !document.terms[key])\n .reduce((list, key) => [\n ...list, {key}, \" \"\n ], [])\n .slice(0, -1)\n\n /* Assemble query string for highlighting */\n const url = new URL(document.location)\n if (feature(\"search.highlight\"))\n url.searchParams.set(\"h\", Object.entries(document.terms)\n .filter(([, match]) => match)\n .reduce((highlight, [value]) => `${highlight} ${value}`.trim(), \"\")\n )\n\n /* Render article or section, depending on flags */\n return (\n \n \n {parent > 0 &&
}\n

{document.title}

\n {teaser > 0 && document.text.length > 0 &&\n

\n {truncate(document.text, 320)}\n

\n }\n {document.tags && document.tags.map(tag => (\n {tag}\n ))}\n {teaser > 0 && missing.length > 0 &&\n

\n {translation(\"search.result.term.missing\")}: {...missing}\n

\n }\n \n \n )\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a search result\n *\n * @param result - Search result\n *\n * @returns Element\n */\nexport function renderSearchResultItem(\n result: SearchResultItem\n): HTMLElement {\n const threshold = result[0].score\n const docs = [...result]\n\n /* Find and extract parent article */\n const parent = docs.findIndex(doc => !doc.location.includes(\"#\"))\n const [article] = docs.splice(parent, 1)\n\n /* Determine last index above threshold */\n let index = docs.findIndex(doc => doc.score < threshold)\n if (index === -1)\n index = docs.length\n\n /* Partition sections */\n const best = docs.slice(0, index)\n const more = docs.slice(index)\n\n /* Render children */\n const children = [\n renderSearchDocument(article, Flag.PARENT | +(!parent && index === 0)),\n ...best.map(section => renderSearchDocument(section, Flag.TEASER)),\n ...more.length ? [\n
\n \n {more.length > 0 && more.length === 1\n ? translation(\"search.result.more.one\")\n : translation(\"search.result.more.other\", more.length)\n }\n \n {...more.map(section => renderSearchDocument(section, Flag.TEASER))}\n
\n ] : []\n ]\n\n /* Render search result */\n return (\n
  • \n {children}\n
    • \n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { SourceFacts } from \"~/components\"\nimport { h, round } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render repository facts\n *\n * @param facts - Repository facts\n *\n * @returns Element\n */\nexport function renderSourceFacts(facts: SourceFacts): HTMLElement {\n return (\n
      \n {Object.entries(facts).map(([key, value]) => (\n
    • \n {typeof value === \"number\" ? round(value) : value}\n
      • \n ))}\n
    \n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a table inside a wrapper to improve scrolling on mobile\n *\n * @param table - Table element\n *\n * @returns Element\n */\nexport function renderTable(table: HTMLElement): HTMLElement {\n return (\n
    \n
    \n {table}\n
    \n
    \n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { configuration, translation } from \"~/_\"\nimport { h } from \"~/utilities\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Version\n */\nexport interface Version {\n version: string /* Version identifier */\n title: string /* Version title */\n aliases: string[] /* Version aliases */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a version\n *\n * @param version - Version\n *\n * @returns Element\n */\nfunction renderVersion(version: Version): HTMLElement {\n const config = configuration()\n\n /* Ensure trailing slash, see https://bit.ly/3rL5u3f */\n const url = new URL(`../${version.version}/`, config.base)\n return (\n
  • \n \n {version.title}\n \n
    • \n )\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Render a version selector\n *\n * @param versions - Versions\n * @param active - Active version\n *\n * @returns Element\n */\nexport function renderVersionSelector(\n versions: Version[], active: Version\n): HTMLElement {\n return (\n
    \n \n {active.title}\n \n
      \n {versions.map(renderVersion)}\n
    \n
    \n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n Subject,\n animationFrameScheduler,\n combineLatest,\n defer,\n finalize,\n fromEvent,\n map,\n switchMap,\n take,\n tap,\n throttleTime\n} from \"rxjs\"\n\nimport {\n ElementOffset,\n getElement,\n getElementSize,\n watchElementContentOffset,\n watchElementFocus,\n watchElementOffset\n} from \"~/browser\"\n\nimport { Component } from \"../../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Annotation\n */\nexport interface Annotation {\n active: boolean /* Annotation is active */\n offset: ElementOffset /* Annotation offset */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch annotation\n *\n * @param el - Annotation element\n * @param container - Containing element\n *\n * @returns Annotation observable\n */\nexport function watchAnnotation(\n el: HTMLElement, container: HTMLElement\n): Observable {\n const offset$ = defer(() => combineLatest([\n watchElementOffset(el),\n watchElementContentOffset(container)\n ]))\n .pipe(\n map(([{ x, y }, scroll]) => {\n const { width } = getElementSize(el)\n return ({\n x: x - scroll.x + width / 2,\n y: y - scroll.y\n })\n })\n )\n\n /* Actively watch annotation on focus */\n return watchElementFocus(el)\n .pipe(\n switchMap(active => offset$\n .pipe(\n map(offset => ({ active, offset })),\n take(+!active || Infinity)\n )\n )\n )\n}\n\n/**\n * Mount annotation\n *\n * @param el - Annotation element\n * @param container - Containing element\n *\n * @returns Annotation component observable\n */\nexport function mountAnnotation(\n el: HTMLElement, container: HTMLElement\n): Observable> {\n return defer(() => {\n const push$ = new Subject()\n push$.subscribe({\n\n /* Handle emission */\n next({ offset }) {\n el.style.setProperty(\"--md-tooltip-x\", `${offset.x}px`)\n el.style.setProperty(\"--md-tooltip-y\", `${offset.y}px`)\n },\n\n /* Handle complete */\n complete() {\n el.style.removeProperty(\"--md-tooltip-x\")\n el.style.removeProperty(\"--md-tooltip-y\")\n }\n })\n\n /* Track relative origin of tooltip */\n push$\n .pipe(\n throttleTime(500, animationFrameScheduler),\n map(() => container.getBoundingClientRect()),\n map(({ x }) => x)\n )\n .subscribe({\n\n /* Handle emission */\n next(origin) {\n if (origin)\n el.style.setProperty(\"--md-tooltip-0\", `${-origin}px`)\n else\n el.style.removeProperty(\"--md-tooltip-0\")\n },\n\n /* Handle complete */\n complete() {\n el.style.removeProperty(\"--md-tooltip-0\")\n }\n })\n\n /* Close open annotation on click */\n const index = getElement(\":scope > :last-child\", el)\n const blur$ = fromEvent(index, \"mousedown\", { once: true })\n push$\n .pipe(\n switchMap(({ active }) => active ? blur$ : EMPTY),\n tap(ev => ev.preventDefault())\n )\n .subscribe(() => el.blur())\n\n /* Create and return component */\n return watchAnnotation(el, container)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n Subject,\n defer,\n finalize,\n merge,\n share,\n takeLast,\n takeUntil\n} from \"rxjs\"\n\nimport {\n getElement,\n getElements,\n getOptionalElement\n} from \"~/browser\"\nimport { renderAnnotation } from \"~/templates\"\n\nimport { Component } from \"../../../_\"\nimport {\n Annotation,\n mountAnnotation\n} from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n print$: Observable /* Media print observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Find all annotation markers in the given code block\n *\n * @param container - Containing element\n *\n * @returns Annotation markers\n */\nfunction findAnnotationMarkers(container: HTMLElement): Text[] {\n const markers: Text[] = []\n for (const comment of getElements(\".c, .c1, .cm\", container)) {\n let match: RegExpExecArray | null\n\n /* Split text at marker and add to list */\n let text = comment.firstChild as Text\n if (text instanceof Text)\n while ((match = /\\((\\d+)\\)/.exec(text.textContent!))) {\n const marker = text.splitText(match.index)\n text = marker.splitText(match[0].length)\n markers.push(marker)\n }\n }\n return markers\n}\n\n/**\n * Swap the child nodes of two elements\n *\n * @param source - Source element\n * @param target - Target element\n */\nfunction swap(source: HTMLElement, target: HTMLElement): void {\n target.append(...Array.from(source.childNodes))\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount annotation list\n *\n * This function analyzes the containing code block and checks for markers\n * referring to elements in the given annotation list. If no markers are found,\n * the list is left untouched. Otherwise, list elements are rendered as\n * annotations inside the code block.\n *\n * @param el - Annotation list element\n * @param container - Containing element\n * @param options - Options\n *\n * @returns Annotation component observable\n */\nexport function mountAnnotationList(\n el: HTMLElement, container: HTMLElement, { print$ }: MountOptions\n): Observable> {\n\n /* Find and replace all markers with empty annotations */\n const annotations = new Map()\n for (const marker of findAnnotationMarkers(container)) {\n const [, id] = marker.textContent!.match(/\\((\\d+)\\)/)!\n if (getOptionalElement(`li:nth-child(${id})`, el)) {\n annotations.set(+id, renderAnnotation(+id))\n marker.replaceWith(annotations.get(+id)!)\n }\n }\n\n /* Keep list if there are no annotations to render */\n if (annotations.size === 0)\n return EMPTY\n\n /* Create and return component */\n return defer(() => {\n const done$ = new Subject()\n\n /* Handle print mode - see https://bit.ly/3rgPdpt */\n print$\n .pipe(\n takeUntil(done$.pipe(takeLast(1)))\n )\n .subscribe(active => {\n el.hidden = !active\n\n /* Show annotations in code block or list (print) */\n for (const [id, annotation] of annotations) {\n const inner = getElement(\".md-typeset\", annotation)\n const child = getElement(`li:nth-child(${id})`, el)\n if (!active)\n swap(child, inner)\n else\n swap(inner, child)\n }\n })\n\n /* Create and return component */\n return merge(...[...annotations]\n .map(([, annotation]) => (\n mountAnnotation(annotation, container)\n ))\n )\n .pipe(\n finalize(() => done$.complete()),\n share()\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n map,\n of,\n shareReplay,\n tap\n} from \"rxjs\"\n\nimport { watchScript } from \"~/browser\"\nimport { h } from \"~/utilities\"\n\nimport { Component } from \"../../../_\"\n\nimport themeCSS from \"./index.css\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mermaid diagram\n */\nexport interface Mermaid {}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Mermaid instance observable\n */\nlet mermaid$: Observable\n\n/**\n * Global index for Mermaid integration\n */\nlet index = 0\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch Mermaid script\n *\n * @returns Mermaid scripts observable\n */\nfunction fetchScripts(): Observable {\n return typeof mermaid === \"undefined\" || mermaid instanceof Element\n ? watchScript(\"https://unpkg.com/mermaid@9.0.1/dist/mermaid.min.js\")\n : of(undefined)\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount Mermaid diagram\n *\n * @param el - Code block element\n *\n * @returns Mermaid diagram component observable\n */\nexport function mountMermaid(\n el: HTMLElement\n): Observable> {\n el.classList.remove(\"mermaid\") // Hack: mitigate https://bit.ly/3CiN6Du\n mermaid$ ||= fetchScripts()\n .pipe(\n tap(() => mermaid.initialize({\n startOnLoad: false,\n themeCSS\n })),\n map(() => undefined),\n shareReplay(1)\n )\n\n /* Render diagram */\n mermaid$.subscribe(() => {\n el.classList.add(\"mermaid\") // Hack: mitigate https://bit.ly/3CiN6Du\n const id = `__mermaid_${index++}`\n const host = h(\"div\", { class: \"mermaid\" })\n mermaid.mermaidAPI.render(id, el.textContent, (svg: string) => {\n\n /* Create a shadow root and inject diagram */\n const shadow = host.attachShadow({ mode: \"closed\" })\n shadow.innerHTML = svg\n\n /* Replace code block with diagram */\n el.replaceWith(host)\n })\n })\n\n /* Create and return component */\n return mermaid$\n .pipe(\n map(() => ({ ref: el }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n defer,\n filter,\n finalize,\n map,\n merge,\n tap\n} from \"rxjs\"\n\nimport { Component } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Details\n */\nexport interface Details {\n action: \"open\" | \"close\" /* Details state */\n reveal?: boolean /* Details is revealed */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n target$: Observable /* Location target observable */\n print$: Observable /* Media print observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n target$: Observable /* Location target observable */\n print$: Observable /* Media print observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch details\n *\n * @param el - Details element\n * @param options - Options\n *\n * @returns Details observable\n */\nexport function watchDetails(\n el: HTMLDetailsElement, { target$, print$ }: WatchOptions\n): Observable
    {\n let open = true\n return merge(\n\n /* Open and focus details on location target */\n target$\n .pipe(\n map(target => target.closest(\"details:not([open])\")!),\n filter(details => el === details),\n map(() => ({\n action: \"open\", reveal: true\n }) as Details)\n ),\n\n /* Open details on print and close afterwards */\n print$\n .pipe(\n filter(active => active || !open),\n tap(() => open = el.open),\n map(active => ({\n action: active ? \"open\" : \"close\"\n }) as Details)\n )\n )\n}\n\n/**\n * Mount details\n *\n * This function ensures that `details` tags are opened on anchor jumps and\n * prior to printing, so the whole content of the page is visible.\n *\n * @param el - Details element\n * @param options - Options\n *\n * @returns Details component observable\n */\nexport function mountDetails(\n el: HTMLDetailsElement, options: MountOptions\n): Observable> {\n return defer(() => {\n const push$ = new Subject
    ()\n push$.subscribe(({ action, reveal }) => {\n if (action === \"open\")\n el.setAttribute(\"open\", \"\")\n else\n el.removeAttribute(\"open\")\n if (reveal)\n el.scrollIntoView()\n })\n\n /* Create and return component */\n return watchDetails(el, options)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { Observable, of } from \"rxjs\"\n\nimport { renderTable } from \"~/templates\"\nimport { h } from \"~/utilities\"\n\nimport { Component } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Data table\n */\nexport interface DataTable {}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Sentinel for replacement\n */\nconst sentinel = h(\"table\")\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount data table\n *\n * This function wraps a data table in another scrollable container, so it can\n * be smoothly scrolled on smaller screen sizes and won't break the layout.\n *\n * @param el - Data table element\n *\n * @returns Data table component observable\n */\nexport function mountDataTable(\n el: HTMLElement\n): Observable> {\n el.replaceWith(sentinel)\n sentinel.replaceWith(renderTable(el))\n\n /* Create and return component */\n return of({ ref: el })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n animationFrameScheduler,\n asyncScheduler,\n auditTime,\n combineLatest,\n defer,\n finalize,\n fromEvent,\n map,\n merge,\n startWith,\n subscribeOn,\n takeLast,\n takeUntil,\n tap\n} from \"rxjs\"\n\nimport {\n getElement,\n getElementOffset,\n getElementSize,\n getElements,\n watchElementSize\n} from \"~/browser\"\n\nimport { Component } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Content tabs\n */\nexport interface ContentTabs {\n active: HTMLLabelElement /* Active tab label */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch content tabs\n *\n * @param el - Content tabs element\n *\n * @returns Content tabs observable\n */\nexport function watchContentTabs(\n el: HTMLElement\n): Observable {\n const inputs = getElements(\":scope > input\", el)\n const active = inputs.find(input => input.checked) || inputs[0]\n return merge(...inputs.map(input => fromEvent(input, \"change\")\n .pipe(\n map(() => ({\n active: getElement(`label[for=${input.id}]`)\n }) as ContentTabs)\n )\n ))\n .pipe(\n startWith({\n active: getElement(`label[for=${active.id}]`)\n } as ContentTabs)\n )\n}\n\n/**\n * Mount content tabs\n *\n * This function scrolls the active tab into view. While this functionality is\n * provided by browsers as part of `scrollInfoView`, browsers will always also\n * scroll the vertical axis, which we do not want. Thus, we decided to provide\n * this functionality ourselves.\n *\n * @param el - Content tabs element\n *\n * @returns Content tabs component observable\n */\nexport function mountContentTabs(\n el: HTMLElement\n): Observable> {\n const container = getElement(\".tabbed-labels\", el)\n return defer(() => {\n const push$ = new Subject()\n combineLatest([push$, watchElementSize(el)])\n .pipe(\n auditTime(1, animationFrameScheduler),\n takeUntil(push$.pipe(takeLast(1)))\n )\n .subscribe({\n\n /* Handle emission */\n next([{ active }]) {\n const offset = getElementOffset(active)\n const { width } = getElementSize(active)\n\n /* Set tab indicator offset and width */\n el.style.setProperty(\"--md-indicator-x\", `${offset.x}px`)\n el.style.setProperty(\"--md-indicator-width\", `${width}px`)\n\n /* Smoothly scroll container */\n container.scrollTo({\n behavior: \"smooth\",\n left: offset.x\n })\n },\n\n /* Handle complete */\n complete() {\n el.style.removeProperty(\"--md-indicator-x\")\n el.style.removeProperty(\"--md-indicator-width\")\n }\n })\n\n /* Create and return component */\n return watchContentTabs(el)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n .pipe(\n subscribeOn(asyncScheduler)\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { Observable, merge } from \"rxjs\"\n\nimport { getElements } from \"~/browser\"\n\nimport { Component } from \"../../_\"\nimport { Annotation } from \"../annotation\"\nimport {\n CodeBlock,\n Mermaid,\n mountCodeBlock,\n mountMermaid\n} from \"../code\"\nimport {\n Details,\n mountDetails\n} from \"../details\"\nimport {\n DataTable,\n mountDataTable\n} from \"../table\"\nimport {\n ContentTabs,\n mountContentTabs\n} from \"../tabs\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Content\n */\nexport type Content =\n | Annotation\n | ContentTabs\n | CodeBlock\n | Mermaid\n | DataTable\n | Details\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n target$: Observable /* Location target observable */\n print$: Observable /* Media print observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount content\n *\n * This function mounts all components that are found in the content of the\n * actual article, including code blocks, data tables and details.\n *\n * @param el - Content element\n * @param options - Options\n *\n * @returns Content component observable\n */\nexport function mountContent(\n el: HTMLElement, { target$, print$ }: MountOptions\n): Observable> {\n return merge(\n\n /* Code blocks */\n ...getElements(\"pre:not(.mermaid) > code\", el)\n .map(child => mountCodeBlock(child, { print$ })),\n\n /* Mermaid diagrams */\n ...getElements(\"pre.mermaid\", el)\n .map(child => mountMermaid(child)),\n\n /* Data tables */\n ...getElements(\"table:not([class])\", el)\n .map(child => mountDataTable(child)),\n\n /* Details */\n ...getElements(\"details\", el)\n .map(child => mountDetails(child, { target$, print$ })),\n\n /* Content tabs */\n ...getElements(\"[data-tabs]\", el)\n .map(child => mountContentTabs(child))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n defer,\n delay,\n finalize,\n map,\n merge,\n of,\n switchMap,\n tap\n} from \"rxjs\"\n\nimport { getElement } from \"~/browser\"\n\nimport { Component } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Dialog\n */\nexport interface Dialog {\n message: string /* Dialog message */\n active: boolean /* Dialog is active */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n alert$: Subject /* Alert subject */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n alert$: Subject /* Alert subject */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch dialog\n *\n * @param _el - Dialog element\n * @param options - Options\n *\n * @returns Dialog observable\n */\nexport function watchDialog(\n _el: HTMLElement, { alert$ }: WatchOptions\n): Observable {\n return alert$\n .pipe(\n switchMap(message => merge(\n of(true),\n of(false).pipe(delay(2000))\n )\n .pipe(\n map(active => ({ message, active }))\n )\n )\n )\n}\n\n/**\n * Mount dialog\n *\n * This function reveals the dialog in the right corner when a new alert is\n * emitted through the subject that is passed as part of the options.\n *\n * @param el - Dialog element\n * @param options - Options\n *\n * @returns Dialog component observable\n */\nexport function mountDialog(\n el: HTMLElement, options: MountOptions\n): Observable> {\n const inner = getElement(\".md-typeset\", el)\n return defer(() => {\n const push$ = new Subject()\n push$.subscribe(({ message, active }) => {\n inner.textContent = message\n if (active)\n el.setAttribute(\"data-md-state\", \"open\")\n else\n el.removeAttribute(\"data-md-state\")\n })\n\n /* Create and return component */\n return watchDialog(el, options)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n bufferCount,\n combineLatest,\n combineLatestWith,\n defer,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n filter,\n map,\n of,\n shareReplay,\n startWith,\n switchMap,\n takeLast,\n takeUntil\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n Viewport,\n watchElementSize,\n watchToggle\n} from \"~/browser\"\n\nimport { Component } from \"../../_\"\nimport { Main } from \"../../main\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Header\n */\nexport interface Header {\n height: number /* Header visible height */\n hidden: boolean /* Header is hidden */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n main$: Observable
    /* Main area observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Compute whether the header is hidden\n *\n * If the user scrolls past a certain threshold, the header can be hidden when\n * scrolling down, and shown when scrolling up.\n *\n * @param options - Options\n *\n * @returns Toggle observable\n */\nfunction isHidden({ viewport$ }: WatchOptions): Observable {\n if (!feature(\"header.autohide\"))\n return of(false)\n\n /* Compute direction and turning point */\n const direction$ = viewport$\n .pipe(\n map(({ offset: { y } }) => y),\n bufferCount(2, 1),\n map(([a, b]) => [a < b, b] as const),\n distinctUntilKeyChanged(0)\n )\n\n /* Compute whether header should be hidden */\n const hidden$ = combineLatest([viewport$, direction$])\n .pipe(\n filter(([{ offset }, [, y]]) => Math.abs(y - offset.y) > 100),\n map(([, [direction]]) => direction),\n distinctUntilChanged()\n )\n\n /* Compute threshold for hiding */\n const search$ = watchToggle(\"search\")\n return combineLatest([viewport$, search$])\n .pipe(\n map(([{ offset }, search]) => offset.y > 400 && !search),\n distinctUntilChanged(),\n switchMap(active => active ? hidden$ : of(false)),\n startWith(false)\n )\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch header\n *\n * @param el - Header element\n * @param options - Options\n *\n * @returns Header observable\n */\nexport function watchHeader(\n el: HTMLElement, options: WatchOptions\n): Observable
    {\n return defer(() => combineLatest([\n watchElementSize(el),\n isHidden(options)\n ]))\n .pipe(\n map(([{ height }, hidden]) => ({\n height,\n hidden\n })),\n distinctUntilChanged((a, b) => (\n a.height === b.height &&\n a.hidden === b.hidden\n )),\n shareReplay(1)\n )\n}\n\n/**\n * Mount header\n *\n * This function manages the different states of the header, i.e. whether it's\n * hidden or rendered with a shadow. This depends heavily on the main area.\n *\n * @param el - Header element\n * @param options - Options\n *\n * @returns Header component observable\n */\nexport function mountHeader(\n el: HTMLElement, { header$, main$ }: MountOptions\n): Observable> {\n return defer(() => {\n const push$ = new Subject
    ()\n push$\n .pipe(\n distinctUntilKeyChanged(\"active\"),\n combineLatestWith(header$)\n )\n .subscribe(([{ active }, { hidden }]) => {\n if (active)\n el.setAttribute(\"data-md-state\", hidden ? \"hidden\" : \"shadow\")\n else\n el.removeAttribute(\"data-md-state\")\n })\n\n /* Link to main area */\n main$.subscribe(push$)\n\n /* Create and return component */\n return header$\n .pipe(\n takeUntil(push$.pipe(takeLast(1))),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n Subject,\n defer,\n distinctUntilKeyChanged,\n finalize,\n map,\n tap\n} from \"rxjs\"\n\nimport {\n Viewport,\n getElementSize,\n getOptionalElement,\n watchViewportAt\n} from \"~/browser\"\n\nimport { Component } from \"../../_\"\nimport { Header } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Header\n */\nexport interface HeaderTitle {\n active: boolean /* Header title is active */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch header title\n *\n * @param el - Heading element\n * @param options - Options\n *\n * @returns Header title observable\n */\nexport function watchHeaderTitle(\n el: HTMLElement, { viewport$, header$ }: WatchOptions\n): Observable {\n return watchViewportAt(el, { viewport$, header$ })\n .pipe(\n map(({ offset: { y } }) => {\n const { height } = getElementSize(el)\n return {\n active: y >= height\n }\n }),\n distinctUntilKeyChanged(\"active\")\n )\n}\n\n/**\n * Mount header title\n *\n * This function swaps the header title from the site title to the title of the\n * current page when the user scrolls past the first headline.\n *\n * @param el - Header title element\n * @param options - Options\n *\n * @returns Header title component observable\n */\nexport function mountHeaderTitle(\n el: HTMLElement, options: MountOptions\n): Observable> {\n return defer(() => {\n const push$ = new Subject()\n push$.subscribe(({ active }) => {\n if (active)\n el.setAttribute(\"data-md-state\", \"active\")\n else\n el.removeAttribute(\"data-md-state\")\n })\n\n /* Obtain headline, if any */\n const heading = getOptionalElement(\"article h1\")\n if (typeof heading === \"undefined\")\n return EMPTY\n\n /* Create and return component */\n return watchHeaderTitle(heading, options)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n combineLatest,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n map,\n switchMap\n} from \"rxjs\"\n\nimport {\n Viewport,\n watchElementSize\n} from \"~/browser\"\n\nimport { Header } from \"../header\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Main area\n */\nexport interface Main {\n offset: number /* Main area top offset */\n height: number /* Main area visible height */\n active: boolean /* Main area is active */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch main area\n *\n * This function returns an observable that computes the visual parameters of\n * the main area which depends on the viewport vertical offset and height, as\n * well as the height of the header element, if the header is fixed.\n *\n * @param el - Main area element\n * @param options - Options\n *\n * @returns Main area observable\n */\nexport function watchMain(\n el: HTMLElement, { viewport$, header$ }: WatchOptions\n): Observable
    {\n\n /* Compute necessary adjustment for header */\n const adjust$ = header$\n .pipe(\n map(({ height }) => height),\n distinctUntilChanged()\n )\n\n /* Compute the main area's top and bottom borders */\n const border$ = adjust$\n .pipe(\n switchMap(() => watchElementSize(el)\n .pipe(\n map(({ height }) => ({\n top: el.offsetTop,\n bottom: el.offsetTop + height\n })),\n distinctUntilKeyChanged(\"bottom\")\n )\n )\n )\n\n /* Compute the main area's offset, visible height and if we scrolled past */\n return combineLatest([adjust$, border$, viewport$])\n .pipe(\n map(([header, { top, bottom }, { offset: { y }, size: { height } }]) => {\n height = Math.max(0, height\n - Math.max(0, top - y, header)\n - Math.max(0, height + y - bottom)\n )\n return {\n offset: top - header,\n height,\n active: top - header <= y\n }\n }),\n distinctUntilChanged((a, b) => (\n a.offset === b.offset &&\n a.height === b.height &&\n a.active === b.active\n ))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n asyncScheduler,\n defer,\n finalize,\n fromEvent,\n map,\n mergeMap,\n observeOn,\n of,\n shareReplay,\n startWith,\n tap\n} from \"rxjs\"\n\nimport { getElements } from \"~/browser\"\n\nimport { Component } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Palette colors\n */\nexport interface PaletteColor {\n scheme?: string /* Color scheme */\n primary?: string /* Primary color */\n accent?: string /* Accent color */\n}\n\n/**\n * Palette\n */\nexport interface Palette {\n index: number /* Palette index */\n color: PaletteColor /* Palette colors */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch color palette\n *\n * @param inputs - Color palette element\n *\n * @returns Color palette observable\n */\nexport function watchPalette(\n inputs: HTMLInputElement[]\n): Observable {\n const current = __md_get(\"__palette\") || {\n index: inputs.findIndex(input => matchMedia(\n input.getAttribute(\"data-md-color-media\")!\n ).matches)\n }\n\n /* Emit changes in color palette */\n return of(...inputs)\n .pipe(\n mergeMap(input => fromEvent(input, \"change\")\n .pipe(\n map(() => input)\n )\n ),\n startWith(inputs[Math.max(0, current.index)]),\n map(input => ({\n index: inputs.indexOf(input),\n color: {\n scheme: input.getAttribute(\"data-md-color-scheme\"),\n primary: input.getAttribute(\"data-md-color-primary\"),\n accent: input.getAttribute(\"data-md-color-accent\")\n }\n } as Palette)),\n shareReplay(1)\n )\n}\n\n/**\n * Mount color palette\n *\n * @param el - Color palette element\n *\n * @returns Color palette component observable\n */\nexport function mountPalette(\n el: HTMLElement\n): Observable> {\n return defer(() => {\n const push$ = new Subject()\n push$.subscribe(palette => {\n document.body.setAttribute(\"data-md-color-switching\", \"\")\n\n /* Set color palette */\n for (const [key, value] of Object.entries(palette.color))\n document.body.setAttribute(`data-md-color-${key}`, value)\n\n /* Toggle visibility */\n for (let index = 0; index < inputs.length; index++) {\n const label = inputs[index].nextElementSibling\n if (label instanceof HTMLElement)\n label.hidden = palette.index !== index\n }\n\n /* Persist preference in local storage */\n __md_set(\"__palette\", palette)\n })\n\n /* Revert transition durations after color switch */\n push$.pipe(observeOn(asyncScheduler))\n .subscribe(() => {\n document.body.removeAttribute(\"data-md-color-switching\")\n })\n\n /* Create and return component */\n const inputs = getElements(\"input\", el)\n return watchPalette(inputs)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport ClipboardJS from \"clipboard\"\nimport {\n Observable,\n Subject,\n map,\n tap\n} from \"rxjs\"\n\nimport { translation } from \"~/_\"\nimport { getElement } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Setup options\n */\ninterface SetupOptions {\n alert$: Subject /* Alert subject */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Extract text to copy\n *\n * @param el - HTML element\n *\n * @returns Extracted text\n */\nfunction extract(el: HTMLElement): string {\n el.setAttribute(\"data-md-copying\", \"\")\n const text = el.innerText\n el.removeAttribute(\"data-md-copying\")\n return text\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Set up Clipboard.js integration\n *\n * @param options - Options\n */\nexport function setupClipboardJS(\n { alert$ }: SetupOptions\n): void {\n if (ClipboardJS.isSupported()) {\n new Observable(subscriber => {\n new ClipboardJS(\"[data-clipboard-target], [data-clipboard-text]\", {\n text: el => (\n el.getAttribute(\"data-clipboard-text\")! ||\n extract(getElement(\n el.getAttribute(\"data-clipboard-target\")!\n ))\n )\n })\n .on(\"success\", ev => subscriber.next(ev))\n })\n .pipe(\n tap(ev => {\n const trigger = ev.trigger as HTMLElement\n trigger.focus()\n }),\n map(() => translation(\"clipboard.copied\"))\n )\n .subscribe(alert$)\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n catchError,\n defaultIfEmpty,\n map,\n of,\n tap\n} from \"rxjs\"\n\nimport { configuration } from \"~/_\"\nimport { getElements, requestXML } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Sitemap, i.e. a list of URLs\n */\nexport type Sitemap = string[]\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Preprocess a list of URLs\n *\n * This function replaces the `site_url` in the sitemap with the actual base\n * URL, to allow instant loading to work in occasions like Netlify previews.\n *\n * @param urls - URLs\n *\n * @returns URL path parts\n */\nfunction preprocess(urls: Sitemap): Sitemap {\n if (urls.length < 2)\n return [\"\"]\n\n /* Take the first two URLs and remove everything after the last slash */\n const [root, next] = [...urls]\n .sort((a, b) => a.length - b.length)\n .map(url => url.replace(/[^/]+$/, \"\"))\n\n /* Compute common prefix */\n let index = 0\n if (root === next)\n index = root.length\n else\n while (root.charCodeAt(index) === next.charCodeAt(index))\n index++\n\n /* Remove common prefix and return in original order */\n return urls.map(url => url.replace(root.slice(0, index), \"\"))\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch the sitemap for the given base URL\n *\n * @param base - Base URL\n *\n * @returns Sitemap observable\n */\nexport function fetchSitemap(base?: URL): Observable {\n const cached = __md_get(\"__sitemap\", sessionStorage, base)\n if (cached) {\n return of(cached)\n } else {\n const config = configuration()\n return requestXML(new URL(\"sitemap.xml\", base || config.base))\n .pipe(\n map(sitemap => preprocess(getElements(\"loc\", sitemap)\n .map(node => node.textContent!)\n )),\n catchError(() => EMPTY), // @todo refactor instant loading\n defaultIfEmpty([]),\n tap(sitemap => __md_set(\"__sitemap\", sitemap, sessionStorage, base))\n )\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n NEVER,\n Observable,\n Subject,\n bufferCount,\n catchError,\n concatMap,\n debounceTime,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n filter,\n fromEvent,\n map,\n merge,\n of,\n sample,\n share,\n skip,\n skipUntil,\n switchMap\n} from \"rxjs\"\n\nimport { configuration, feature } from \"~/_\"\nimport {\n Viewport,\n ViewportOffset,\n getElements,\n getOptionalElement,\n request,\n setLocation,\n setLocationHash\n} from \"~/browser\"\nimport { getComponentElement } from \"~/components\"\nimport { h } from \"~/utilities\"\n\nimport { fetchSitemap } from \"../sitemap\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * History state\n */\nexport interface HistoryState {\n url: URL /* State URL */\n offset?: ViewportOffset /* State viewport offset */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Setup options\n */\ninterface SetupOptions {\n document$: Subject /* Document subject */\n location$: Subject /* Location subject */\n viewport$: Observable /* Viewport observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Set up instant loading\n *\n * When fetching, theoretically, we could use `responseType: \"document\"`, but\n * since all MkDocs links are relative, we need to make sure that the current\n * location matches the document we just loaded. Otherwise any relative links\n * in the document could use the old location.\n *\n * This is the reason why we need to synchronize history events and the process\n * of fetching the document for navigation changes (except `popstate` events):\n *\n * 1. Fetch document via `XMLHTTPRequest`\n * 2. Set new location via `history.pushState`\n * 3. Parse and emit fetched document\n *\n * For `popstate` events, we must not use `history.pushState`, or the forward\n * history will be irreversibly overwritten. In case the request fails, the\n * location change is dispatched regularly.\n *\n * @param options - Options\n */\nexport function setupInstantLoading(\n { document$, location$, viewport$ }: SetupOptions\n): void {\n const config = configuration()\n if (location.protocol === \"file:\")\n return\n\n /* Disable automatic scroll restoration */\n if (\"scrollRestoration\" in history) {\n history.scrollRestoration = \"manual\"\n\n /* Hack: ensure that reloads restore viewport offset */\n fromEvent(window, \"beforeunload\")\n .subscribe(() => {\n history.scrollRestoration = \"auto\"\n })\n }\n\n /* Hack: ensure absolute favicon link to omit 404s when switching */\n const favicon = getOptionalElement(\"link[rel=icon]\")\n if (typeof favicon !== \"undefined\")\n favicon.href = favicon.href\n\n /* Intercept internal navigation */\n const push$ = fetchSitemap()\n .pipe(\n map(paths => paths.map(path => `${new URL(path, config.base)}`)),\n switchMap(urls => fromEvent(document.body, \"click\")\n .pipe(\n filter(ev => !ev.metaKey && !ev.ctrlKey),\n switchMap(ev => {\n if (ev.target instanceof Element) {\n const el = ev.target.closest(\"a\")\n if (el && !el.target) {\n const url = new URL(el.href)\n\n /* Canonicalize URL */\n url.search = \"\"\n url.hash = \"\"\n\n /* Check if URL should be intercepted */\n if (\n url.pathname !== location.pathname &&\n urls.includes(url.toString())\n ) {\n ev.preventDefault()\n return of({\n url: new URL(el.href)\n })\n }\n }\n }\n return NEVER\n })\n )\n ),\n share()\n )\n\n /* Intercept history back and forward */\n const pop$ = fromEvent(window, \"popstate\")\n .pipe(\n filter(ev => ev.state !== null),\n map(ev => ({\n url: new URL(location.href),\n offset: ev.state\n })),\n share()\n )\n\n /* Emit location change */\n merge(push$, pop$)\n .pipe(\n distinctUntilChanged((a, b) => a.url.href === b.url.href),\n map(({ url }) => url)\n )\n .subscribe(location$)\n\n /* Fetch document via `XMLHTTPRequest` */\n const response$ = location$\n .pipe(\n distinctUntilKeyChanged(\"pathname\"),\n switchMap(url => request(url.href)\n .pipe(\n catchError(() => {\n setLocation(url)\n return NEVER\n })\n )\n ),\n share()\n )\n\n /* Set new location via `history.pushState` */\n push$\n .pipe(\n sample(response$)\n )\n .subscribe(({ url }) => {\n history.pushState({}, \"\", `${url}`)\n })\n\n /* Parse and emit fetched document */\n const dom = new DOMParser()\n response$\n .pipe(\n switchMap(res => res.text()),\n map(res => dom.parseFromString(res, \"text/html\"))\n )\n .subscribe(document$)\n\n /* Replace meta tags and components */\n document$\n .pipe(\n skip(1)\n )\n .subscribe(replacement => {\n for (const selector of [\n\n /* Meta tags */\n \"title\",\n \"link[rel=canonical]\",\n \"meta[name=author]\",\n \"meta[name=description]\",\n\n /* Components */\n \"[data-md-component=announce]\",\n \"[data-md-component=container]\",\n \"[data-md-component=header-topic]\",\n \"[data-md-component=outdated]\",\n \"[data-md-component=logo]\",\n \"[data-md-component=skip]\",\n ...feature(\"navigation.tabs.sticky\")\n ? [\"[data-md-component=tabs]\"]\n : []\n ]) {\n const source = getOptionalElement(selector)\n const target = getOptionalElement(selector, replacement)\n if (\n typeof source !== \"undefined\" &&\n typeof target !== \"undefined\"\n ) {\n source.replaceWith(target)\n }\n }\n })\n\n /* Re-evaluate scripts */\n document$\n .pipe(\n skip(1),\n map(() => getComponentElement(\"container\")),\n switchMap(el => getElements(\"script\", el)),\n concatMap(el => {\n const script = h(\"script\")\n if (el.src) {\n for (const name of el.getAttributeNames())\n script.setAttribute(name, el.getAttribute(name)!)\n el.replaceWith(script)\n\n /* Complete when script is loaded */\n return new Observable(observer => {\n script.onload = () => observer.complete()\n })\n\n /* Complete immediately */\n } else {\n script.textContent = el.textContent\n el.replaceWith(script)\n return EMPTY\n }\n })\n )\n .subscribe()\n\n /* Emit history state change */\n merge(push$, pop$)\n .pipe(\n sample(document$)\n )\n .subscribe(({ url, offset }) => {\n if (url.hash && !offset) {\n setLocationHash(url.hash)\n } else {\n window.scrollTo(0, offset?.y || 0)\n }\n })\n\n /* Debounce update of viewport offset */\n viewport$\n .pipe(\n skipUntil(push$),\n debounceTime(250),\n distinctUntilKeyChanged(\"offset\")\n )\n .subscribe(({ offset }) => {\n history.replaceState(offset, \"\")\n })\n\n /* Set viewport offset from history */\n merge(push$, pop$)\n .pipe(\n bufferCount(2, 1),\n filter(([a, b]) => a.url.pathname === b.url.pathname),\n map(([, state]) => state)\n )\n .subscribe(({ offset }) => {\n window.scrollTo(0, offset?.y || 0)\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport escapeHTML from \"escape-html\"\n\nimport { SearchIndexDocument } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search document\n */\nexport interface SearchDocument extends SearchIndexDocument {\n parent?: SearchIndexDocument /* Parent article */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search document mapping\n */\nexport type SearchDocumentMap = Map\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create a search document mapping\n *\n * @param docs - Search index documents\n *\n * @returns Search document map\n */\nexport function setupSearchDocumentMap(\n docs: SearchIndexDocument[]\n): SearchDocumentMap {\n const documents = new Map()\n const parents = new Set()\n for (const doc of docs) {\n const [path, hash] = doc.location.split(\"#\")\n\n /* Extract location, title and tags */\n const location = doc.location\n const title = doc.title\n const tags = doc.tags\n\n /* Escape and cleanup text */\n const text = escapeHTML(doc.text)\n .replace(/\\s+(?=[,.:;!?])/g, \"\")\n .replace(/\\s+/g, \" \")\n\n /* Handle section */\n if (hash) {\n const parent = documents.get(path)!\n\n /* Ignore first section, override article */\n if (!parents.has(parent)) {\n parent.title = doc.title\n parent.text = text\n\n /* Remember that we processed the article */\n parents.add(parent)\n\n /* Add subsequent section */\n } else {\n documents.set(location, {\n location,\n title,\n text,\n parent\n })\n }\n\n /* Add article */\n } else {\n documents.set(location, {\n location,\n title,\n text,\n ...tags && { tags }\n })\n }\n }\n return documents\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport escapeHTML from \"escape-html\"\n\nimport { SearchIndexConfig } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search highlight function\n *\n * @param value - Value\n *\n * @returns Highlighted value\n */\nexport type SearchHighlightFn = (value: string) => string\n\n/**\n * Search highlight factory function\n *\n * @param query - Query value\n *\n * @returns Search highlight function\n */\nexport type SearchHighlightFactoryFn = (query: string) => SearchHighlightFn\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create a search highlighter\n *\n * @param config - Search index configuration\n * @param escape - Whether to escape HTML\n *\n * @returns Search highlight factory function\n */\nexport function setupSearchHighlighter(\n config: SearchIndexConfig, escape: boolean\n): SearchHighlightFactoryFn {\n const separator = new RegExp(config.separator, \"img\")\n const highlight = (_: unknown, data: string, term: string) => {\n return `${data}${term}`\n }\n\n /* Return factory function */\n return (query: string) => {\n query = query\n .replace(/[\\s*+\\-:~^]+/g, \" \")\n .trim()\n\n /* Create search term match expression */\n const match = new RegExp(`(^|${config.separator})(${\n query\n .replace(/[|\\\\{}()[\\]^$+*?.-]/g, \"\\\\$&\")\n .replace(separator, \"|\")\n })`, \"img\")\n\n /* Highlight string value */\n return value => (\n escape\n ? escapeHTML(value)\n : value\n )\n .replace(match, highlight)\n .replace(/<\\/mark>(\\s+)]*>/img, \"$1\")\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search transformation function\n *\n * @param value - Query value\n *\n * @returns Transformed query value\n */\nexport type SearchTransformFn = (value: string) => string\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Default transformation function\n *\n * 1. Search for terms in quotation marks and prepend a `+` modifier to denote\n * that the resulting document must contain all terms, converting the query\n * to an `AND` query (as opposed to the default `OR` behavior). While users\n * may expect terms enclosed in quotation marks to map to span queries, i.e.\n * for which order is important, Lunr.js doesn't support them, so the best\n * we can do is to convert the terms to an `AND` query.\n *\n * 2. Replace control characters which are not located at the beginning of the\n * query or preceded by white space, or are not followed by a non-whitespace\n * character or are at the end of the query string. Furthermore, filter\n * unmatched quotation marks.\n *\n * 3. Trim excess whitespace from left and right.\n *\n * @param query - Query value\n *\n * @returns Transformed query value\n */\nexport function defaultTransform(query: string): string {\n return query\n .split(/\"([^\"]+)\"/g) /* => 1 */\n .map((terms, index) => index & 1\n ? terms.replace(/^\\b|^(?![^\\x00-\\x7F]|$)|\\s+/g, \" +\")\n : terms\n )\n .join(\"\")\n .replace(/\"|(?:^|\\s+)[*+\\-:^~]+(?=\\s+|$)/g, \"\") /* => 2 */\n .trim() /* => 3 */\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A RTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { SearchIndex, SearchResult } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search message type\n */\nexport const enum SearchMessageType {\n SETUP, /* Search index setup */\n READY, /* Search index ready */\n QUERY, /* Search query */\n RESULT /* Search results */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Message containing the data necessary to setup the search index\n */\nexport interface SearchSetupMessage {\n type: SearchMessageType.SETUP /* Message type */\n data: SearchIndex /* Message data */\n}\n\n/**\n * Message indicating the search index is ready\n */\nexport interface SearchReadyMessage {\n type: SearchMessageType.READY /* Message type */\n}\n\n/**\n * Message containing a search query\n */\nexport interface SearchQueryMessage {\n type: SearchMessageType.QUERY /* Message type */\n data: string /* Message data */\n}\n\n/**\n * Message containing results for a search query\n */\nexport interface SearchResultMessage {\n type: SearchMessageType.RESULT /* Message type */\n data: SearchResult /* Message data */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Message exchanged with the search worker\n */\nexport type SearchMessage =\n | SearchSetupMessage\n | SearchReadyMessage\n | SearchQueryMessage\n | SearchResultMessage\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Type guard for search setup messages\n *\n * @param message - Search worker message\n *\n * @returns Test result\n */\nexport function isSearchSetupMessage(\n message: SearchMessage\n): message is SearchSetupMessage {\n return message.type === SearchMessageType.SETUP\n}\n\n/**\n * Type guard for search ready messages\n *\n * @param message - Search worker message\n *\n * @returns Test result\n */\nexport function isSearchReadyMessage(\n message: SearchMessage\n): message is SearchReadyMessage {\n return message.type === SearchMessageType.READY\n}\n\n/**\n * Type guard for search query messages\n *\n * @param message - Search worker message\n *\n * @returns Test result\n */\nexport function isSearchQueryMessage(\n message: SearchMessage\n): message is SearchQueryMessage {\n return message.type === SearchMessageType.QUERY\n}\n\n/**\n * Type guard for search result messages\n *\n * @param message - Search worker message\n *\n * @returns Test result\n */\nexport function isSearchResultMessage(\n message: SearchMessage\n): message is SearchResultMessage {\n return message.type === SearchMessageType.RESULT\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A RTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n ObservableInput,\n Subject,\n from,\n map,\n share\n} from \"rxjs\"\n\nimport { configuration, feature, translation } from \"~/_\"\nimport { WorkerHandler, watchWorker } from \"~/browser\"\n\nimport { SearchIndex } from \"../../_\"\nimport {\n SearchOptions,\n SearchPipeline\n} from \"../../options\"\nimport {\n SearchMessage,\n SearchMessageType,\n SearchSetupMessage,\n isSearchResultMessage\n} from \"../message\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search worker\n */\nexport type SearchWorker = WorkerHandler\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Set up search index\n *\n * @param data - Search index\n *\n * @returns Search index\n */\nfunction setupSearchIndex({ config, docs }: SearchIndex): SearchIndex {\n\n /* Override default language with value from translation */\n if (config.lang.length === 1 && config.lang[0] === \"en\")\n config.lang = [\n translation(\"search.config.lang\")\n ]\n\n /* Override default separator with value from translation */\n if (config.separator === \"[\\\\s\\\\-]+\")\n config.separator = translation(\"search.config.separator\")\n\n /* Set pipeline from translation */\n const pipeline = translation(\"search.config.pipeline\")\n .split(/\\s*,\\s*/)\n .filter(Boolean) as SearchPipeline\n\n /* Determine search options */\n const options: SearchOptions = {\n pipeline,\n suggestions: feature(\"search.suggest\")\n }\n\n /* Return search index after defaulting */\n return { config, docs, options }\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Set up search worker\n *\n * This function creates a web worker to set up and query the search index,\n * which is done using Lunr.js. The index must be passed as an observable to\n * enable hacks like _localsearch_ via search index embedding as JSON.\n *\n * @param url - Worker URL\n * @param index - Search index observable input\n *\n * @returns Search worker\n */\nexport function setupSearchWorker(\n url: string, index: ObservableInput\n): SearchWorker {\n const config = configuration()\n const worker = new Worker(url)\n\n /* Create communication channels and resolve relative links */\n const tx$ = new Subject()\n const rx$ = watchWorker(worker, { tx$ })\n .pipe(\n map(message => {\n if (isSearchResultMessage(message)) {\n for (const result of message.data.items)\n for (const document of result)\n document.location = `${new URL(document.location, config.base)}`\n }\n return message\n }),\n share()\n )\n\n /* Set up search index */\n from(index)\n .pipe(\n map(data => ({\n type: SearchMessageType.SETUP,\n data: setupSearchIndex(data)\n } as SearchSetupMessage))\n )\n .subscribe(tx$.next.bind(tx$))\n\n /* Return search worker */\n return { tx$, rx$ }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Subject,\n catchError,\n combineLatest,\n filter,\n fromEvent,\n map,\n of,\n switchMap\n} from \"rxjs\"\n\nimport { configuration } from \"~/_\"\nimport {\n getElement,\n getLocation,\n requestJSON,\n setLocation\n} from \"~/browser\"\nimport { getComponentElements } from \"~/components\"\nimport {\n Version,\n renderVersionSelector\n} from \"~/templates\"\n\nimport { fetchSitemap } from \"../sitemap\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Setup options\n */\ninterface SetupOptions {\n document$: Subject /* Document subject */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Set up version selector\n *\n * @param options - Options\n */\nexport function setupVersionSelector(\n { document$ }: SetupOptions\n): void {\n const config = configuration()\n const versions$ = requestJSON(\n new URL(\"../versions.json\", config.base)\n )\n .pipe(\n catchError(() => EMPTY) // @todo refactor instant loading\n )\n\n /* Determine current version */\n const current$ = versions$\n .pipe(\n map(versions => {\n const [, current] = config.base.match(/([^/]+)\\/?$/)!\n return versions.find(({ version, aliases }) => (\n version === current || aliases.includes(current)\n )) || versions[0]\n })\n )\n\n /* Intercept inter-version navigation */\n combineLatest([versions$, current$])\n .pipe(\n map(([versions, current]) => new Map(versions\n .filter(version => version !== current)\n .map(version => [\n `${new URL(`../${version.version}/`, config.base)}`,\n version\n ])\n )),\n switchMap(urls => fromEvent(document.body, \"click\")\n .pipe(\n filter(ev => !ev.metaKey && !ev.ctrlKey),\n switchMap(ev => {\n if (ev.target instanceof Element) {\n const el = ev.target.closest(\"a\")\n if (el && !el.target && urls.has(el.href)) {\n ev.preventDefault()\n return of(el.href)\n }\n }\n return EMPTY\n }),\n switchMap(url => {\n const { version } = urls.get(url)!\n return fetchSitemap(new URL(url))\n .pipe(\n map(sitemap => {\n const location = getLocation()\n const path = location.href.replace(config.base, \"\")\n return sitemap.includes(path)\n ? new URL(`../${version}/${path}`, config.base)\n : new URL(url)\n })\n )\n })\n )\n )\n )\n .subscribe(url => setLocation(url))\n\n /* Render version selector and warning */\n combineLatest([versions$, current$])\n .subscribe(([versions, current]) => {\n const topic = getElement(\".md-header__topic\")\n topic.appendChild(renderVersionSelector(versions, current))\n })\n\n /* Integrate outdated version banner with instant loading */\n document$.pipe(switchMap(() => current$))\n .subscribe(current => {\n\n /* Check if version state was already determined */\n let outdated = __md_get(\"__outdated\", sessionStorage)\n if (outdated === null) {\n const latest = config.version?.default || \"latest\"\n outdated = !current.aliases.includes(latest)\n\n /* Persist version state in session storage */\n __md_set(\"__outdated\", outdated, sessionStorage)\n }\n\n /* Unhide outdated version banner */\n if (outdated)\n for (const warning of getComponentElements(\"outdated\"))\n warning.hidden = false\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n combineLatest,\n delay,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n filter,\n finalize,\n fromEvent,\n map,\n merge,\n shareReplay,\n startWith,\n take,\n takeLast,\n takeUntil,\n tap\n} from \"rxjs\"\n\nimport { translation } from \"~/_\"\nimport {\n getLocation,\n setToggle,\n watchElementFocus,\n watchToggle\n} from \"~/browser\"\nimport {\n SearchMessageType,\n SearchQueryMessage,\n SearchWorker,\n defaultTransform,\n isSearchReadyMessage\n} from \"~/integrations\"\n\nimport { Component } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search query\n */\nexport interface SearchQuery {\n value: string /* Query value */\n focus: boolean /* Query focus */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch search query\n *\n * Note that the focus event which triggers re-reading the current query value\n * is delayed by `1ms` so the input's empty state is allowed to propagate.\n *\n * @param el - Search query element\n * @param worker - Search worker\n *\n * @returns Search query observable\n */\nexport function watchSearchQuery(\n el: HTMLInputElement, { rx$ }: SearchWorker\n): Observable {\n const fn = __search?.transform || defaultTransform\n\n /* Immediately show search dialog */\n const { searchParams } = getLocation()\n if (searchParams.has(\"q\"))\n setToggle(\"search\", true)\n\n /* Intercept query parameter (deep link) */\n const param$ = rx$\n .pipe(\n filter(isSearchReadyMessage),\n take(1),\n map(() => searchParams.get(\"q\") || \"\")\n )\n\n /* Remove query parameter when search is closed */\n watchToggle(\"search\")\n .pipe(\n filter(active => !active),\n take(1)\n )\n .subscribe(() => {\n const url = new URL(location.href)\n url.searchParams.delete(\"q\")\n history.replaceState({}, \"\", `${url}`)\n })\n\n /* Set query from parameter */\n param$.subscribe(value => { // TODO: not ideal - find a better way\n if (value) {\n el.value = value\n el.focus()\n }\n })\n\n /* Intercept focus and input events */\n const focus$ = watchElementFocus(el)\n const value$ = merge(\n fromEvent(el, \"keyup\"),\n fromEvent(el, \"focus\").pipe(delay(1)),\n param$\n )\n .pipe(\n map(() => fn(el.value)),\n startWith(\"\"),\n distinctUntilChanged(),\n )\n\n /* Combine into single observable */\n return combineLatest([value$, focus$])\n .pipe(\n map(([value, focus]) => ({ value, focus })),\n shareReplay(1)\n )\n}\n\n/**\n * Mount search query\n *\n * @param el - Search query element\n * @param worker - Search worker\n *\n * @returns Search query component observable\n */\nexport function mountSearchQuery(\n el: HTMLInputElement, { tx$, rx$ }: SearchWorker\n): Observable> {\n const push$ = new Subject()\n\n /* Handle value changes */\n push$\n .pipe(\n distinctUntilKeyChanged(\"value\"),\n map(({ value }): SearchQueryMessage => ({\n type: SearchMessageType.QUERY,\n data: value\n }))\n )\n .subscribe(tx$.next.bind(tx$))\n\n /* Handle focus changes */\n push$\n .pipe(\n distinctUntilKeyChanged(\"focus\")\n )\n .subscribe(({ focus }) => {\n if (focus) {\n setToggle(\"search\", focus)\n el.placeholder = \"\"\n } else {\n el.placeholder = translation(\"search.placeholder\")\n }\n })\n\n /* Handle reset */\n fromEvent(el.form!, \"reset\")\n .pipe(\n takeUntil(push$.pipe(takeLast(1)))\n )\n .subscribe(() => el.focus())\n\n /* Create and return component */\n return watchSearchQuery(el, { tx$, rx$ })\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n bufferCount,\n filter,\n finalize,\n map,\n merge,\n of,\n skipUntil,\n switchMap,\n take,\n tap,\n withLatestFrom,\n zipWith\n} from \"rxjs\"\n\nimport { translation } from \"~/_\"\nimport {\n getElement,\n watchElementBoundary\n} from \"~/browser\"\nimport {\n SearchResult,\n SearchWorker,\n isSearchReadyMessage,\n isSearchResultMessage\n} from \"~/integrations\"\nimport { renderSearchResultItem } from \"~/templates\"\nimport { round } from \"~/utilities\"\n\nimport { Component } from \"../../_\"\nimport { SearchQuery } from \"../query\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n query$: Observable /* Search query observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount search result list\n *\n * This function performs a lazy rendering of the search results, depending on\n * the vertical offset of the search result container.\n *\n * @param el - Search result list element\n * @param worker - Search worker\n * @param options - Options\n *\n * @returns Search result list component observable\n */\nexport function mountSearchResult(\n el: HTMLElement, { rx$ }: SearchWorker, { query$ }: MountOptions\n): Observable> {\n const push$ = new Subject()\n const boundary$ = watchElementBoundary(el.parentElement!)\n .pipe(\n filter(Boolean)\n )\n\n /* Retrieve nested components */\n const meta = getElement(\":scope > :first-child\", el)\n const list = getElement(\":scope > :last-child\", el)\n\n /* Wait until search is ready */\n const ready$ = rx$\n .pipe(\n filter(isSearchReadyMessage),\n take(1)\n )\n\n /* Update search result metadata */\n push$\n .pipe(\n withLatestFrom(query$),\n skipUntil(ready$)\n )\n .subscribe(([{ items }, { value }]) => {\n if (value) {\n switch (items.length) {\n\n /* No results */\n case 0:\n meta.textContent = translation(\"search.result.none\")\n break\n\n /* One result */\n case 1:\n meta.textContent = translation(\"search.result.one\")\n break\n\n /* Multiple result */\n default:\n meta.textContent = translation(\n \"search.result.other\",\n round(items.length)\n )\n }\n } else {\n meta.textContent = translation(\"search.result.placeholder\")\n }\n })\n\n /* Update search result list */\n push$\n .pipe(\n tap(() => list.innerHTML = \"\"),\n switchMap(({ items }) => merge(\n of(...items.slice(0, 10)),\n of(...items.slice(10))\n .pipe(\n bufferCount(4),\n zipWith(boundary$),\n switchMap(([chunk]) => chunk)\n )\n ))\n )\n .subscribe(result => list.appendChild(\n renderSearchResultItem(result)\n ))\n\n /* Filter search result message */\n const result$ = rx$\n .pipe(\n filter(isSearchResultMessage),\n map(({ data }) => data)\n )\n\n /* Create and return component */\n return result$\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n finalize,\n fromEvent,\n map,\n tap\n} from \"rxjs\"\n\nimport { getLocation } from \"~/browser\"\n\nimport { Component } from \"../../_\"\nimport { SearchQuery } from \"../query\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search sharing\n */\nexport interface SearchShare {\n url: URL /* Deep link for sharing */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n query$: Observable /* Search query observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n query$: Observable /* Search query observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount search sharing\n *\n * @param _el - Search sharing element\n * @param options - Options\n *\n * @returns Search sharing observable\n */\nexport function watchSearchShare(\n _el: HTMLElement, { query$ }: WatchOptions\n): Observable {\n return query$\n .pipe(\n map(({ value }) => {\n const url = getLocation()\n url.hash = \"\"\n url.searchParams.delete(\"h\")\n url.searchParams.set(\"q\", value)\n return { url }\n })\n )\n}\n\n/**\n * Mount search sharing\n *\n * @param el - Search sharing element\n * @param options - Options\n *\n * @returns Search sharing component observable\n */\nexport function mountSearchShare(\n el: HTMLAnchorElement, options: MountOptions\n): Observable> {\n const push$ = new Subject()\n push$.subscribe(({ url }) => {\n el.setAttribute(\"data-clipboard-text\", el.href)\n el.href = `${url}`\n })\n\n /* Prevent following of link */\n fromEvent(el, \"click\")\n .subscribe(ev => ev.preventDefault())\n\n /* Create and return component */\n return watchSearchShare(el, options)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n asyncScheduler,\n combineLatestWith,\n distinctUntilChanged,\n filter,\n finalize,\n fromEvent,\n map,\n merge,\n observeOn,\n tap\n} from \"rxjs\"\n\nimport { Keyboard } from \"~/browser\"\nimport {\n SearchResult,\n SearchWorker,\n isSearchResultMessage\n} from \"~/integrations\"\n\nimport { Component, getComponentElement } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search suggestions\n */\nexport interface SearchSuggest {}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n keyboard$: Observable /* Keyboard observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount search suggestions\n *\n * This function will perform a lazy rendering of the search results, depending\n * on the vertical offset of the search result container.\n *\n * @param el - Search result list element\n * @param worker - Search worker\n * @param options - Options\n *\n * @returns Search result list component observable\n */\nexport function mountSearchSuggest(\n el: HTMLElement, { rx$ }: SearchWorker, { keyboard$ }: MountOptions\n): Observable> {\n const push$ = new Subject()\n\n /* Retrieve query component and track all changes */\n const query = getComponentElement(\"search-query\")\n const query$ = merge(\n fromEvent(query, \"keydown\"),\n fromEvent(query, \"focus\")\n )\n .pipe(\n observeOn(asyncScheduler),\n map(() => query.value),\n distinctUntilChanged(),\n )\n\n /* Update search suggestions */\n push$\n .pipe(\n combineLatestWith(query$),\n map(([{ suggestions }, value]) => {\n const words = value.split(/([\\s-]+)/)\n if (suggestions?.length && words[words.length - 1]) {\n const last = suggestions[suggestions.length - 1]\n if (last.startsWith(words[words.length - 1]))\n words[words.length - 1] = last\n } else {\n words.length = 0\n }\n return words\n })\n )\n .subscribe(words => el.innerHTML = words\n .join(\"\")\n .replace(/\\s/g, \" \")\n )\n\n /* Set up search keyboard handlers */\n keyboard$\n .pipe(\n filter(({ mode }) => mode === \"search\")\n )\n .subscribe(key => {\n switch (key.type) {\n\n /* Right arrow: accept current suggestion */\n case \"ArrowRight\":\n if (\n el.innerText.length &&\n query.selectionStart === query.value.length\n )\n query.value = el.innerText\n break\n }\n })\n\n /* Filter search result message */\n const result$ = rx$\n .pipe(\n filter(isSearchResultMessage),\n map(({ data }) => data)\n )\n\n /* Create and return component */\n return result$\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(() => ({ ref: el }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n NEVER,\n Observable,\n ObservableInput,\n filter,\n merge,\n mergeWith,\n sample,\n take\n} from \"rxjs\"\n\nimport { configuration } from \"~/_\"\nimport {\n Keyboard,\n getActiveElement,\n getElements,\n setToggle\n} from \"~/browser\"\nimport {\n SearchIndex,\n SearchResult,\n isSearchQueryMessage,\n isSearchReadyMessage,\n setupSearchWorker\n} from \"~/integrations\"\n\nimport {\n Component,\n getComponentElement,\n getComponentElements\n} from \"../../_\"\nimport {\n SearchQuery,\n mountSearchQuery\n} from \"../query\"\nimport { mountSearchResult } from \"../result\"\nimport {\n SearchShare,\n mountSearchShare\n} from \"../share\"\nimport {\n SearchSuggest,\n mountSearchSuggest\n} from \"../suggest\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search\n */\nexport type Search =\n | SearchQuery\n | SearchResult\n | SearchShare\n | SearchSuggest\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n index$: ObservableInput /* Search index observable */\n keyboard$: Observable /* Keyboard observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount search\n *\n * This function sets up the search functionality, including the underlying\n * web worker and all keyboard bindings.\n *\n * @param el - Search element\n * @param options - Options\n *\n * @returns Search component observable\n */\nexport function mountSearch(\n el: HTMLElement, { index$, keyboard$ }: MountOptions\n): Observable> {\n const config = configuration()\n try {\n const url = __search?.worker || config.search\n const worker = setupSearchWorker(url, index$)\n\n /* Retrieve query and result components */\n const query = getComponentElement(\"search-query\", el)\n const result = getComponentElement(\"search-result\", el)\n\n /* Re-emit query when search is ready */\n const { tx$, rx$ } = worker\n tx$\n .pipe(\n filter(isSearchQueryMessage),\n sample(rx$.pipe(filter(isSearchReadyMessage))),\n take(1)\n )\n .subscribe(tx$.next.bind(tx$))\n\n /* Set up search keyboard handlers */\n keyboard$\n .pipe(\n filter(({ mode }) => mode === \"search\")\n )\n .subscribe(key => {\n const active = getActiveElement()\n switch (key.type) {\n\n /* Enter: go to first (best) result */\n case \"Enter\":\n if (active === query) {\n const anchors = new Map()\n for (const anchor of getElements(\n \":first-child [href]\", result\n )) {\n const article = anchor.firstElementChild!\n anchors.set(anchor, parseFloat(\n article.getAttribute(\"data-md-score\")!\n ))\n }\n\n /* Go to result with highest score, if any */\n if (anchors.size) {\n const [[best]] = [...anchors].sort(([, a], [, b]) => b - a)\n best.click()\n }\n\n /* Otherwise omit form submission */\n key.claim()\n }\n break\n\n /* Escape or Tab: close search */\n case \"Escape\":\n case \"Tab\":\n setToggle(\"search\", false)\n query.blur()\n break\n\n /* Vertical arrows: select previous or next search result */\n case \"ArrowUp\":\n case \"ArrowDown\":\n if (typeof active === \"undefined\") {\n query.focus()\n } else {\n const els = [query, ...getElements(\n \":not(details) > [href], summary, details[open] [href]\",\n result\n )]\n const i = Math.max(0, (\n Math.max(0, els.indexOf(active)) + els.length + (\n key.type === \"ArrowUp\" ? -1 : +1\n )\n ) % els.length)\n els[i].focus()\n }\n\n /* Prevent scrolling of page */\n key.claim()\n break\n\n /* All other keys: hand to search query */\n default:\n if (query !== getActiveElement())\n query.focus()\n }\n })\n\n /* Set up global keyboard handlers */\n keyboard$\n .pipe(\n filter(({ mode }) => mode === \"global\"),\n )\n .subscribe(key => {\n switch (key.type) {\n\n /* Open search and select query */\n case \"f\":\n case \"s\":\n case \"/\":\n query.focus()\n query.select()\n\n /* Prevent scrolling of page */\n key.claim()\n break\n }\n })\n\n /* Create and return component */\n const query$ = mountSearchQuery(query, worker)\n const result$ = mountSearchResult(result, worker, { query$ })\n return merge(query$, result$)\n .pipe(\n mergeWith(\n\n /* Search sharing */\n ...getComponentElements(\"search-share\", el)\n .map(child => mountSearchShare(child, { query$ })),\n\n /* Search suggestions */\n ...getComponentElements(\"search-suggest\", el)\n .map(child => mountSearchSuggest(child, worker, { keyboard$ }))\n )\n )\n\n /* Gracefully handle broken search */\n } catch (err) {\n el.hidden = true\n return NEVER\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n ObservableInput,\n combineLatest,\n filter,\n map,\n startWith\n} from \"rxjs\"\n\nimport { getLocation } from \"~/browser\"\nimport {\n SearchIndex,\n setupSearchHighlighter\n} from \"~/integrations\"\nimport { h } from \"~/utilities\"\n\nimport { Component } from \"../../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search highlighting\n */\nexport interface SearchHighlight {\n nodes: Map /* Map of replacements */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount options\n */\ninterface MountOptions {\n index$: ObservableInput /* Search index observable */\n location$: Observable /* Location observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Mount search highlighting\n *\n * @param el - Content element\n * @param options - Options\n *\n * @returns Search highlighting component observable\n */\nexport function mountSearchHiglight(\n el: HTMLElement, { index$, location$ }: MountOptions\n): Observable> {\n return combineLatest([\n index$,\n location$\n .pipe(\n startWith(getLocation()),\n filter(url => !!url.searchParams.get(\"h\"))\n )\n ])\n .pipe(\n map(([index, url]) => setupSearchHighlighter(index.config, true)(\n url.searchParams.get(\"h\")!\n )),\n map(fn => {\n const nodes = new Map()\n\n /* Traverse text nodes and collect matches */\n const it = document.createNodeIterator(el, NodeFilter.SHOW_TEXT)\n for (let node = it.nextNode(); node; node = it.nextNode()) {\n if (node.parentElement?.offsetHeight) {\n const original = node.textContent!\n const replaced = fn(original)\n if (replaced.length > original.length)\n nodes.set(node as ChildNode, replaced)\n }\n }\n\n /* Replace original nodes with matches */\n for (const [node, text] of nodes) {\n const { childNodes } = h(\"span\", null, text)\n node.replaceWith(...Array.from(childNodes))\n }\n\n /* Return component */\n return { ref: el, nodes }\n })\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n animationFrameScheduler,\n auditTime,\n combineLatest,\n defer,\n distinctUntilChanged,\n finalize,\n map,\n tap,\n withLatestFrom\n} from \"rxjs\"\n\nimport {\n Viewport,\n getElement,\n getElementOffset\n} from \"~/browser\"\n\nimport { Component } from \"../_\"\nimport { Header } from \"../header\"\nimport { Main } from \"../main\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Sidebar\n */\nexport interface Sidebar {\n height: number /* Sidebar height */\n locked: boolean /* Sidebar is locked */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n main$: Observable
    /* Main area observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n main$: Observable
    /* Main area observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch sidebar\n *\n * This function returns an observable that computes the visual parameters of\n * the sidebar which depends on the vertical viewport offset, as well as the\n * height of the main area. When the page is scrolled beyond the header, the\n * sidebar is locked and fills the remaining space.\n *\n * @param el - Sidebar element\n * @param options - Options\n *\n * @returns Sidebar observable\n */\nexport function watchSidebar(\n el: HTMLElement, { viewport$, main$ }: WatchOptions\n): Observable {\n const parent = el.parentElement!\n const adjust =\n parent.offsetTop -\n parent.parentElement!.offsetTop\n\n /* Compute the sidebar's available height and if it should be locked */\n return combineLatest([main$, viewport$])\n .pipe(\n map(([{ offset, height }, { offset: { y } }]) => {\n height = height\n + Math.min(adjust, Math.max(0, y - offset))\n - adjust\n return {\n height,\n locked: y >= offset + adjust\n }\n }),\n distinctUntilChanged((a, b) => (\n a.height === b.height &&\n a.locked === b.locked\n ))\n )\n}\n\n/**\n * Mount sidebar\n *\n * This function doesn't set the height of the actual sidebar, but of its first\n * child \u2013 the `.md-sidebar__scrollwrap` element in order to mitigiate jittery\n * sidebars when the footer is scrolled into view. At some point we switched\n * from `absolute` / `fixed` positioning to `sticky` positioning, significantly\n * reducing jitter in some browsers (respectively Firefox and Safari) when\n * scrolling from the top. However, top-aligned sticky positioning means that\n * the sidebar snaps to the bottom when the end of the container is reached.\n * This is what leads to the mentioned jitter, as the sidebar's height may be\n * updated too slowly.\n *\n * This behaviour can be mitigiated by setting the height of the sidebar to `0`\n * while preserving the padding, and the height on its first element.\n *\n * @param el - Sidebar element\n * @param options - Options\n *\n * @returns Sidebar component observable\n */\nexport function mountSidebar(\n el: HTMLElement, { header$, ...options }: MountOptions\n): Observable> {\n const inner = getElement(\".md-sidebar__scrollwrap\", el)\n const { y } = getElementOffset(inner)\n return defer(() => {\n const push$ = new Subject()\n push$\n .pipe(\n auditTime(0, animationFrameScheduler),\n withLatestFrom(header$)\n )\n .subscribe({\n\n /* Handle emission */\n next([{ height }, { height: offset }]) {\n inner.style.height = `${height - 2 * y}px`\n el.style.top = `${offset}px`\n },\n\n /* Handle complete */\n complete() {\n inner.style.height = \"\"\n el.style.top = \"\"\n }\n })\n\n /* Create and return component */\n return watchSidebar(el, options)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { Repo, User } from \"github-types\"\nimport {\n EMPTY,\n Observable,\n catchError,\n defaultIfEmpty,\n map,\n zip\n} from \"rxjs\"\n\nimport { requestJSON } from \"~/browser\"\n\nimport { SourceFacts } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * GitHub release (partial)\n */\ninterface Release {\n tag_name: string /* Tag name */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch GitHub repository facts\n *\n * @param user - GitHub user or organization\n * @param repo - GitHub repository\n *\n * @returns Repository facts observable\n */\nexport function fetchSourceFactsFromGitHub(\n user: string, repo?: string\n): Observable {\n if (typeof repo !== \"undefined\") {\n const url = `https://api.github.com/repos/${user}/${repo}`\n return zip(\n\n /* Fetch version */\n requestJSON(`${url}/releases/latest`)\n .pipe(\n catchError(() => EMPTY), // @todo refactor instant loading\n map(release => ({\n version: release.tag_name\n })),\n defaultIfEmpty({})\n ),\n\n /* Fetch stars and forks */\n requestJSON(url)\n .pipe(\n catchError(() => EMPTY), // @todo refactor instant loading\n map(info => ({\n stars: info.stargazers_count,\n forks: info.forks_count\n })),\n defaultIfEmpty({})\n )\n )\n .pipe(\n map(([release, info]) => ({ ...release, ...info }))\n )\n\n /* User or organization */\n } else {\n const url = `https://api.github.com/users/${user}`\n return requestJSON(url)\n .pipe(\n map(info => ({\n repositories: info.public_repos\n })),\n defaultIfEmpty({})\n )\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { ProjectSchema } from \"gitlab\"\nimport {\n EMPTY,\n Observable,\n catchError,\n defaultIfEmpty,\n map\n} from \"rxjs\"\n\nimport { requestJSON } from \"~/browser\"\n\nimport { SourceFacts } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch GitLab repository facts\n *\n * @param base - GitLab base\n * @param project - GitLab project\n *\n * @returns Repository facts observable\n */\nexport function fetchSourceFactsFromGitLab(\n base: string, project: string\n): Observable {\n const url = `https://${base}/api/v4/projects/${encodeURIComponent(project)}`\n return requestJSON(url)\n .pipe(\n catchError(() => EMPTY), // @todo refactor instant loading\n map(({ star_count, forks_count }) => ({\n stars: star_count,\n forks: forks_count\n })),\n defaultIfEmpty({})\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { EMPTY, Observable } from \"rxjs\"\n\nimport { fetchSourceFactsFromGitHub } from \"../github\"\nimport { fetchSourceFactsFromGitLab } from \"../gitlab\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Repository facts for repositories\n */\nexport interface RepositoryFacts {\n stars?: number /* Number of stars */\n forks?: number /* Number of forks */\n version?: string /* Latest version */\n}\n\n/**\n * Repository facts for organizations\n */\nexport interface OrganizationFacts {\n repositories?: number /* Number of repositories */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Repository facts\n */\nexport type SourceFacts =\n | RepositoryFacts\n | OrganizationFacts\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch repository facts\n *\n * @param url - Repository URL\n *\n * @returns Repository facts observable\n */\nexport function fetchSourceFacts(\n url: string\n): Observable {\n const [type] = url.match(/(git(?:hub|lab))/i) || []\n switch (type.toLowerCase()) {\n\n /* GitHub repository */\n case \"github\":\n const [, user, repo] = url.match(/^.+github\\.com\\/([^/]+)\\/?([^/]+)?/i)!\n return fetchSourceFactsFromGitHub(user, repo)\n\n /* GitLab repository */\n case \"gitlab\":\n const [, base, slug] = url.match(/^.+?([^/]*gitlab[^/]+)\\/(.+?)\\/?$/i)!\n return fetchSourceFactsFromGitLab(base, slug)\n\n /* Everything else */\n default:\n return EMPTY\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n EMPTY,\n Observable,\n Subject,\n catchError,\n defer,\n filter,\n finalize,\n map,\n of,\n shareReplay,\n tap\n} from \"rxjs\"\n\nimport { getElement } from \"~/browser\"\nimport { renderSourceFacts } from \"~/templates\"\n\nimport { Component } from \"../../_\"\nimport {\n SourceFacts,\n fetchSourceFacts\n} from \"../facts\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Repository information\n */\nexport interface Source {\n facts: SourceFacts /* Repository facts */\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Repository information observable\n */\nlet fetch$: Observable\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch repository information\n *\n * This function tries to read the repository facts from session storage, and\n * if unsuccessful, fetches them from the underlying provider.\n *\n * @param el - Repository information element\n *\n * @returns Repository information observable\n */\nexport function watchSource(\n el: HTMLAnchorElement\n): Observable {\n return fetch$ ||= defer(() => {\n const cached = __md_get(\"__source\", sessionStorage)\n if (cached)\n return of(cached)\n else\n return fetchSourceFacts(el.href)\n .pipe(\n tap(facts => __md_set(\"__source\", facts, sessionStorage))\n )\n })\n .pipe(\n catchError(() => EMPTY),\n filter(facts => Object.keys(facts).length > 0),\n map(facts => ({ facts })),\n shareReplay(1)\n )\n}\n\n/**\n * Mount repository information\n *\n * @param el - Repository information element\n *\n * @returns Repository information component observable\n */\nexport function mountSource(\n el: HTMLAnchorElement\n): Observable> {\n const inner = getElement(\":scope > :last-child\", el)\n return defer(() => {\n const push$ = new Subject()\n push$.subscribe(({ facts }) => {\n inner.appendChild(renderSourceFacts(facts))\n inner.setAttribute(\"data-md-state\", \"done\")\n })\n\n /* Create and return component */\n return watchSource(el)\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n defer,\n distinctUntilKeyChanged,\n finalize,\n map,\n of,\n switchMap,\n tap\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n Viewport,\n watchElementSize,\n watchViewportAt\n} from \"~/browser\"\n\nimport { Component } from \"../_\"\nimport { Header } from \"../header\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Navigation tabs\n */\nexport interface Tabs {\n hidden: boolean /* Navigation tabs are hidden */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch navigation tabs\n *\n * @param el - Navigation tabs element\n * @param options - Options\n *\n * @returns Navigation tabs observable\n */\nexport function watchTabs(\n el: HTMLElement, { viewport$, header$ }: WatchOptions\n): Observable {\n return watchElementSize(document.body)\n .pipe(\n switchMap(() => watchViewportAt(el, { header$, viewport$ })),\n map(({ offset: { y } }) => {\n return {\n hidden: y >= 10\n }\n }),\n distinctUntilKeyChanged(\"hidden\")\n )\n}\n\n/**\n * Mount navigation tabs\n *\n * This function hides the navigation tabs when scrolling past the threshold\n * and makes them reappear in a nice CSS animation when scrolling back up.\n *\n * @param el - Navigation tabs element\n * @param options - Options\n *\n * @returns Navigation tabs component observable\n */\nexport function mountTabs(\n el: HTMLElement, options: MountOptions\n): Observable> {\n return defer(() => {\n const push$ = new Subject()\n push$.subscribe({\n\n /* Handle emission */\n next({ hidden }) {\n if (hidden)\n el.setAttribute(\"data-md-state\", \"hidden\")\n else\n el.removeAttribute(\"data-md-state\")\n },\n\n /* Handle complete */\n complete() {\n el.removeAttribute(\"data-md-state\")\n }\n })\n\n /* Create and return component */\n return (\n feature(\"navigation.tabs.sticky\")\n ? of({ hidden: false })\n : watchTabs(el, options)\n )\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n bufferCount,\n combineLatestWith,\n debounceTime,\n defer,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n finalize,\n map,\n of,\n repeat,\n scan,\n share,\n skip,\n startWith,\n switchMap,\n takeLast,\n takeUntil,\n tap,\n withLatestFrom\n} from \"rxjs\"\n\nimport { feature } from \"~/_\"\nimport {\n Viewport,\n getElement,\n getElements,\n getLocation,\n getOptionalElement,\n watchElementSize\n} from \"~/browser\"\n\nimport {\n Component,\n getComponentElement\n} from \"../_\"\nimport { Header } from \"../header\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Table of contents\n */\nexport interface TableOfContents {\n prev: HTMLAnchorElement[][] /* Anchors (previous) */\n next: HTMLAnchorElement[][] /* Anchors (next) */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n target$: Observable /* Location target observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch table of contents\n *\n * This is effectively a scroll spy implementation which will account for the\n * fixed header and automatically re-calculate anchor offsets when the viewport\n * is resized. The returned observable will only emit if the table of contents\n * needs to be repainted.\n *\n * This implementation tracks an anchor element's entire path starting from its\n * level up to the top-most anchor element, e.g. `[h3, h2, h1]`. Although the\n * Material theme currently doesn't make use of this information, it enables\n * the styling of the entire hierarchy through customization.\n *\n * Note that the current anchor is the last item of the `prev` anchor list.\n *\n * @param el - Table of contents element\n * @param options - Options\n *\n * @returns Table of contents observable\n */\nexport function watchTableOfContents(\n el: HTMLElement, { viewport$, header$ }: WatchOptions\n): Observable {\n const table = new Map()\n\n /* Compute anchor-to-target mapping */\n const anchors = getElements(\"[href^=\\\\#]\", el)\n for (const anchor of anchors) {\n const id = decodeURIComponent(anchor.hash.substring(1))\n const target = getOptionalElement(`[id=\"${id}\"]`)\n if (typeof target !== \"undefined\")\n table.set(anchor, target)\n }\n\n /* Compute necessary adjustment for header */\n const adjust$ = header$\n .pipe(\n distinctUntilKeyChanged(\"height\"),\n map(({ height }) => {\n const main = getComponentElement(\"main\")\n const grid = getElement(\":scope > :first-child\", main)\n return height + 0.8 * (\n grid.offsetTop -\n main.offsetTop\n )\n }),\n share()\n )\n\n /* Compute partition of previous and next anchors */\n const partition$ = watchElementSize(document.body)\n .pipe(\n distinctUntilKeyChanged(\"height\"),\n\n /* Build index to map anchor paths to vertical offsets */\n switchMap(body => defer(() => {\n let path: HTMLAnchorElement[] = []\n return of([...table].reduce((index, [anchor, target]) => {\n while (path.length) {\n const last = table.get(path[path.length - 1])!\n if (last.tagName >= target.tagName) {\n path.pop()\n } else {\n break\n }\n }\n\n /* If the current anchor is hidden, continue with its parent */\n let offset = target.offsetTop\n while (!offset && target.parentElement) {\n target = target.parentElement\n offset = target.offsetTop\n }\n\n /* Map reversed anchor path to vertical offset */\n return index.set(\n [...path = [...path, anchor]].reverse(),\n offset\n )\n }, new Map()))\n })\n .pipe(\n\n /* Sort index by vertical offset (see https://bit.ly/30z6QSO) */\n map(index => new Map([...index].sort(([, a], [, b]) => a - b))),\n combineLatestWith(adjust$),\n\n /* Re-compute partition when viewport offset changes */\n switchMap(([index, adjust]) => viewport$\n .pipe(\n scan(([prev, next], { offset: { y }, size }) => {\n const last = y + size.height >= Math.floor(body.height)\n\n /* Look forward */\n while (next.length) {\n const [, offset] = next[0]\n if (offset - adjust < y || last) {\n prev = [...prev, next.shift()!]\n } else {\n break\n }\n }\n\n /* Look backward */\n while (prev.length) {\n const [, offset] = prev[prev.length - 1]\n if (offset - adjust >= y && !last) {\n next = [prev.pop()!, ...next]\n } else {\n break\n }\n }\n\n /* Return partition */\n return [prev, next]\n }, [[], [...index]]),\n distinctUntilChanged((a, b) => (\n a[0] === b[0] &&\n a[1] === b[1]\n ))\n )\n )\n )\n )\n )\n\n /* Compute and return anchor list migrations */\n return partition$\n .pipe(\n map(([prev, next]) => ({\n prev: prev.map(([path]) => path),\n next: next.map(([path]) => path)\n })),\n\n /* Extract anchor list migrations */\n startWith({ prev: [], next: [] }),\n bufferCount(2, 1),\n map(([a, b]) => {\n\n /* Moving down */\n if (a.prev.length < b.prev.length) {\n return {\n prev: b.prev.slice(Math.max(0, a.prev.length - 1), b.prev.length),\n next: []\n }\n\n /* Moving up */\n } else {\n return {\n prev: b.prev.slice(-1),\n next: b.next.slice(0, b.next.length - a.next.length)\n }\n }\n })\n )\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Mount table of contents\n *\n * @param el - Table of contents element\n * @param options - Options\n *\n * @returns Table of contents component observable\n */\nexport function mountTableOfContents(\n el: HTMLElement, { viewport$, header$, target$ }: MountOptions\n): Observable> {\n return defer(() => {\n const push$ = new Subject()\n push$.subscribe(({ prev, next }) => {\n\n /* Look forward */\n for (const [anchor] of next) {\n anchor.removeAttribute(\"data-md-state\")\n anchor.classList.remove(\n \"md-nav__link--active\"\n )\n }\n\n /* Look backward */\n for (const [index, [anchor]] of prev.entries()) {\n anchor.setAttribute(\"data-md-state\", \"blur\")\n anchor.classList.toggle(\n \"md-nav__link--active\",\n index === prev.length - 1\n )\n }\n })\n\n /* Set up anchor tracking, if enabled */\n if (feature(\"navigation.tracking\"))\n viewport$\n .pipe(\n takeUntil(push$.pipe(takeLast(1))),\n distinctUntilKeyChanged(\"offset\"),\n debounceTime(250),\n skip(1),\n takeUntil(target$.pipe(skip(1))),\n repeat({ delay: 250 }),\n withLatestFrom(push$)\n )\n .subscribe(([, { prev }]) => {\n const url = getLocation()\n\n /* Set hash fragment to active anchor */\n const anchor = prev[prev.length - 1]\n if (anchor && anchor.length) {\n const [active] = anchor\n const { hash } = new URL(active.href)\n if (url.hash !== hash) {\n url.hash = hash\n history.replaceState({}, \"\", `${url}`)\n }\n\n /* Reset anchor when at the top */\n } else {\n url.hash = \"\"\n history.replaceState({}, \"\", `${url}`)\n }\n })\n\n /* Create and return component */\n return watchTableOfContents(el, { viewport$, header$ })\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n Subject,\n bufferCount,\n combineLatest,\n distinctUntilChanged,\n distinctUntilKeyChanged,\n endWith,\n finalize,\n map,\n repeat,\n skip,\n takeLast,\n takeUntil,\n tap\n} from \"rxjs\"\n\nimport { Viewport } from \"~/browser\"\n\nimport { Component } from \"../_\"\nimport { Header } from \"../header\"\nimport { Main } from \"../main\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Back-to-top button\n */\nexport interface BackToTop {\n hidden: boolean /* Back-to-top button is hidden */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch options\n */\ninterface WatchOptions {\n viewport$: Observable /* Viewport observable */\n main$: Observable
    /* Main area observable */\n target$: Observable /* Location target observable */\n}\n\n/**\n * Mount options\n */\ninterface MountOptions {\n viewport$: Observable /* Viewport observable */\n header$: Observable
    /* Header observable */\n main$: Observable
    /* Main area observable */\n target$: Observable /* Location target observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Watch back-to-top\n *\n * @param _el - Back-to-top element\n * @param options - Options\n *\n * @returns Back-to-top observable\n */\nexport function watchBackToTop(\n _el: HTMLElement, { viewport$, main$, target$ }: WatchOptions\n): Observable {\n\n /* Compute direction */\n const direction$ = viewport$\n .pipe(\n map(({ offset: { y } }) => y),\n bufferCount(2, 1),\n map(([a, b]) => a > b && b > 0),\n distinctUntilChanged()\n )\n\n /* Compute whether main area is active */\n const active$ = main$\n .pipe(\n map(({ active }) => active)\n )\n\n /* Compute threshold for hiding */\n return combineLatest([active$, direction$])\n .pipe(\n map(([active, direction]) => !(active && direction)),\n distinctUntilChanged(),\n takeUntil(target$.pipe(skip(1))),\n endWith(true),\n repeat({ delay: 250 }),\n map(hidden => ({ hidden }))\n )\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Mount back-to-top\n *\n * @param el - Back-to-top element\n * @param options - Options\n *\n * @returns Back-to-top component observable\n */\nexport function mountBackToTop(\n el: HTMLElement, { viewport$, header$, main$, target$ }: MountOptions\n): Observable> {\n const push$ = new Subject()\n push$.subscribe({\n\n /* Handle emission */\n next({ hidden }) {\n if (hidden) {\n el.setAttribute(\"data-md-state\", \"hidden\")\n el.setAttribute(\"tabindex\", \"-1\")\n el.blur()\n } else {\n el.removeAttribute(\"data-md-state\")\n el.removeAttribute(\"tabindex\")\n }\n },\n\n /* Handle complete */\n complete() {\n el.style.top = \"\"\n el.setAttribute(\"data-md-state\", \"hidden\")\n el.removeAttribute(\"tabindex\")\n }\n })\n\n /* Watch header height */\n header$\n .pipe(\n takeUntil(push$.pipe(endWith(0), takeLast(1))),\n distinctUntilKeyChanged(\"height\")\n )\n .subscribe(({ height }) => {\n el.style.top = `${height + 16}px`\n })\n\n /* Create and return component */\n return watchBackToTop(el, { viewport$, main$, target$ })\n .pipe(\n tap(state => push$.next(state)),\n finalize(() => push$.complete()),\n map(state => ({ ref: el, ...state }))\n )\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n fromEvent,\n map,\n mergeMap,\n switchMap,\n takeWhile,\n tap,\n withLatestFrom\n} from \"rxjs\"\n\nimport { getElements } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch options\n */\ninterface PatchOptions {\n document$: Observable /* Document observable */\n tablet$: Observable /* Media tablet observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch indeterminate checkboxes\n *\n * This function replaces the indeterminate \"pseudo state\" with the actual\n * indeterminate state, which is used to keep navigation always expanded.\n *\n * @param options - Options\n */\nexport function patchIndeterminate(\n { document$, tablet$ }: PatchOptions\n): void {\n document$\n .pipe(\n switchMap(() => getElements(\n \"[data-md-state=indeterminate]\"\n )),\n tap(el => {\n el.indeterminate = true\n el.checked = false\n }),\n mergeMap(el => fromEvent(el, \"change\")\n .pipe(\n takeWhile(() => el.hasAttribute(\"data-md-state\")),\n map(() => el)\n )\n ),\n withLatestFrom(tablet$)\n )\n .subscribe(([el, tablet]) => {\n el.removeAttribute(\"data-md-state\")\n if (tablet)\n el.checked = false\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n filter,\n fromEvent,\n map,\n mergeMap,\n switchMap,\n tap\n} from \"rxjs\"\n\nimport { getElements } from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch options\n */\ninterface PatchOptions {\n document$: Observable /* Document observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Check whether the given device is an Apple device\n *\n * @returns Test result\n */\nfunction isAppleDevice(): boolean {\n return /(iPad|iPhone|iPod)/.test(navigator.userAgent)\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch all elements with `data-md-scrollfix` attributes\n *\n * This is a year-old patch which ensures that overflow scrolling works at the\n * top and bottom of containers on iOS by ensuring a `1px` scroll offset upon\n * the start of a touch event.\n *\n * @see https://bit.ly/2SCtAOO - Original source\n *\n * @param options - Options\n */\nexport function patchScrollfix(\n { document$ }: PatchOptions\n): void {\n document$\n .pipe(\n switchMap(() => getElements(\"[data-md-scrollfix]\")),\n tap(el => el.removeAttribute(\"data-md-scrollfix\")),\n filter(isAppleDevice),\n mergeMap(el => fromEvent(el, \"touchstart\")\n .pipe(\n map(() => el)\n )\n )\n )\n .subscribe(el => {\n const top = el.scrollTop\n\n /* We're at the top of the container */\n if (top === 0) {\n el.scrollTop = 1\n\n /* We're at the bottom of the container */\n } else if (top + el.offsetHeight === el.scrollHeight) {\n el.scrollTop = top - 1\n }\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n Observable,\n combineLatest,\n delay,\n map,\n of,\n switchMap,\n withLatestFrom\n} from \"rxjs\"\n\nimport {\n Viewport,\n watchToggle\n} from \"~/browser\"\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch options\n */\ninterface PatchOptions {\n viewport$: Observable /* Viewport observable */\n tablet$: Observable /* Media tablet observable */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Patch the document body to lock when search is open\n *\n * For mobile and tablet viewports, the search is rendered full screen, which\n * leads to scroll leaking when at the top or bottom of the search result. This\n * function locks the body when the search is in full screen mode, and restores\n * the scroll position when leaving.\n *\n * @param options - Options\n */\nexport function patchScrolllock(\n { viewport$, tablet$ }: PatchOptions\n): void {\n combineLatest([watchToggle(\"search\"), tablet$])\n .pipe(\n map(([active, tablet]) => active && !tablet),\n switchMap(active => of(active)\n .pipe(\n delay(active ? 400 : 100)\n )\n ),\n withLatestFrom(viewport$)\n )\n .subscribe(([active, { offset: { y }}]) => {\n if (active) {\n document.body.setAttribute(\"data-md-state\", \"lock\")\n document.body.style.top = `-${y}px`\n } else {\n const value = -1 * parseInt(document.body.style.top, 10)\n document.body.removeAttribute(\"data-md-state\")\n document.body.style.top = \"\"\n if (value)\n window.scrollTo(0, value)\n }\n })\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Polyfills\n * ------------------------------------------------------------------------- */\n\n/* Polyfill `Object.entries` */\nif (!Object.entries)\n Object.entries = function (obj: object) {\n const data: [string, string][] = []\n for (const key of Object.keys(obj))\n // @ts-expect-error - ignore property access warning\n data.push([key, obj[key]])\n\n /* Return entries */\n return data\n }\n\n/* Polyfill `Object.values` */\nif (!Object.values)\n Object.values = function (obj: object) {\n const data: string[] = []\n for (const key of Object.keys(obj))\n // @ts-expect-error - ignore property access warning\n 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- "names": [] -} diff --git a/7.2/assets/javascripts/lunr/min/lunr.ar.min.js b/7.2/assets/javascripts/lunr/min/lunr.ar.min.js deleted file mode 100755 index 248ddc5d..00000000 --- a/7.2/assets/javascripts/lunr/min/lunr.ar.min.js +++ /dev/null @@ -1 +0,0 @@ -!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.ar=function(){this.pipeline.reset(),this.pipeline.add(e.ar.trimmer,e.ar.stopWordFilter,e.ar.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.ar.stemmer))},e.ar.wordCharacters="ء-ٛٱـ",e.ar.trimmer=e.trimmerSupport.generateTrimmer(e.ar.wordCharacters),e.Pipeline.registerFunction(e.ar.trimmer,"trimmer-ar"),e.ar.stemmer=function(){var e=this;return e.result=!1,e.preRemoved=!1,e.sufRemoved=!1,e.pre={pre1:"ف ك ب و س ل ن ا ي ت",pre2:"ال لل",pre3:"بال وال فال تال كال ولل",pre4:"فبال كبال وبال وكال"},e.suf={suf1:"ه ك ت ن ا ي",suf2:"نك نه ها وك يا اه ون ين تن تم نا وا ان كم كن ني نن ما هم هن تك ته ات يه",suf3:"تين كهم نيه نهم ونه وها يهم ونا ونك وني وهم تكم تنا تها تني تهم كما كها ناه نكم هنا تان يها",suf4:"كموه ناها ونني ونهم تكما تموه تكاه كماه ناكم ناهم نيها 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nu når og også om op os over på selv sig sin sine sit skal skulle som sådan thi til ud under var vi vil ville vor være været".split(" ")),e.Pipeline.registerFunction(e.da.stopWordFilter,"stopWordFilter-da")}}); \ No newline at end of file diff --git a/7.2/assets/javascripts/lunr/min/lunr.de.min.js b/7.2/assets/javascripts/lunr/min/lunr.de.min.js deleted file mode 100755 index f3b5c108..00000000 --- a/7.2/assets/javascripts/lunr/min/lunr.de.min.js +++ /dev/null @@ -1,18 +0,0 @@ -/*! - * Lunr languages, `German` language - * https://github.com/MihaiValentin/lunr-languages - * - * Copyright 2014, Mihai Valentin - * http://www.mozilla.org/MPL/ - */ -/*! - * based on - * Snowball JavaScript Library v0.3 - * http://code.google.com/p/urim/ - * http://snowball.tartarus.org/ - * - * Copyright 2010, Oleg Mazko - * http://www.mozilla.org/MPL/ - */ - -!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. 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andere anderem anderen anderer anderes anderm andern anderr anders auch auf aus bei bin bis bist da damit dann das dasselbe dazu daß dein deine deinem deinen deiner deines dem demselben den denn denselben der derer derselbe derselben des desselben dessen dich die dies diese dieselbe dieselben diesem diesen dieser dieses dir doch dort du durch ein eine einem einen einer eines einig einige einigem einigen einiger einiges einmal er es etwas euch euer eure eurem euren eurer eures für gegen gewesen hab habe haben hat hatte hatten hier hin hinter ich ihm ihn ihnen ihr ihre ihrem ihren ihrer ihres im in indem ins ist jede jedem jeden jeder jedes jene jenem jenen jener jenes jetzt kann kein keine keinem keinen keiner keines können könnte machen man manche manchem manchen mancher manches mein meine meinem meinen meiner meines mich mir mit muss musste nach nicht nichts noch nun nur ob oder ohne sehr sein seine seinem seinen seiner seines selbst sich sie sind so solche solchem solchen solcher solches soll sollte sondern sonst um und uns unse unsem unsen unser unses unter viel vom von vor war waren warst was weg weil weiter welche welchem welchen welcher welches wenn werde werden wie wieder will wir wird wirst wo wollen wollte während würde würden zu zum zur zwar zwischen über".split(" ")),e.Pipeline.registerFunction(e.de.stopWordFilter,"stopWordFilter-de")}}); \ No newline at end of file diff --git a/7.2/assets/javascripts/lunr/min/lunr.du.min.js b/7.2/assets/javascripts/lunr/min/lunr.du.min.js deleted file mode 100755 index 49a0f3f0..00000000 --- a/7.2/assets/javascripts/lunr/min/lunr.du.min.js +++ /dev/null @@ -1,18 +0,0 @@ -/*! - * Lunr languages, `Dutch` language - * https://github.com/MihaiValentin/lunr-languages - * - * Copyright 2014, Mihai Valentin - * http://www.mozilla.org/MPL/ - */ -/*! - * based on - * Snowball JavaScript Library v0.3 - * http://code.google.com/p/urim/ - * http://snowball.tartarus.org/ - * - * Copyright 2010, Oleg Mazko - * 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index 29f5dfce..00000000 --- a/7.2/assets/javascripts/lunr/min/lunr.fi.min.js +++ /dev/null @@ -1,18 +0,0 @@ -/*! - * Lunr languages, `Finnish` language - * https://github.com/MihaiValentin/lunr-languages - * - * Copyright 2014, Mihai Valentin - * http://www.mozilla.org/MPL/ - */ -/*! - * based on - * Snowball JavaScript Library v0.3 - * http://code.google.com/p/urim/ - * http://snowball.tartarus.org/ - * - * Copyright 2010, Oleg Mazko - * http://www.mozilla.org/MPL/ - */ - -!function(i,e){"function"==typeof define&&define.amd?define(e):"object"==typeof exports?module.exports=e():e()(i.lunr)}(this,function(){return function(i){if(void 0===i)throw new Error("Lunr is not present. 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")),i.Pipeline.registerFunction(i.fi.stopWordFilter,"stopWordFilter-fi")}}); \ No newline at end of file diff --git a/7.2/assets/javascripts/lunr/min/lunr.fr.min.js b/7.2/assets/javascripts/lunr/min/lunr.fr.min.js deleted file mode 100755 index 68cd0094..00000000 --- a/7.2/assets/javascripts/lunr/min/lunr.fr.min.js +++ /dev/null @@ -1,18 +0,0 @@ -/*! - * Lunr languages, `French` language - * https://github.com/MihaiValentin/lunr-languages - * - * Copyright 2014, Mihai Valentin - * http://www.mozilla.org/MPL/ - */ -/*! - * based on - * Snowball JavaScript Library v0.3 - * http://code.google.com/p/urim/ - * http://snowball.tartarus.org/ - * - * Copyright 2010, Oleg Mazko - * http://www.mozilla.org/MPL/ - */ - -!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. 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")),r.Pipeline.registerFunction(r.nl.stopWordFilter,"stopWordFilter-nl")}}); \ No newline at end of file diff --git a/7.2/assets/javascripts/lunr/min/lunr.no.min.js b/7.2/assets/javascripts/lunr/min/lunr.no.min.js deleted file mode 100755 index 92bc7e4e..00000000 --- a/7.2/assets/javascripts/lunr/min/lunr.no.min.js +++ /dev/null @@ -1,18 +0,0 @@ -/*! - * Lunr languages, `Norwegian` language - * https://github.com/MihaiValentin/lunr-languages - * - * Copyright 2014, Mihai Valentin - * http://www.mozilla.org/MPL/ - */ -/*! - * based on - * Snowball JavaScript Library v0.3 - * http://code.google.com/p/urim/ - * http://snowball.tartarus.org/ - * - * Copyright 2010, Oleg Mazko - * http://www.mozilla.org/MPL/ - */ - -!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. 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dă ea ei el ele eram este eu eşti face fata fi fie fiecare fii fim fiu fiţi frumos fără graţie halbă iar ieri la le li lor lui lângă lîngă mai mea mei mele mereu meu mi mie mine mult multă mulţi mulţumesc mâine mîine mă ne nevoie nici nicăieri nimeni nimeri nimic nişte noastre noastră noi noroc nostru nouă noştri nu opt ori oricare orice oricine oricum oricând oricât oricînd oricît oriunde patra patru patrulea pe pentru peste pic poate pot prea prima primul prin puţin puţina puţină până pînă rog sa sale sau se spate spre sub sunt suntem sunteţi sută sînt sîntem sînteţi să săi său ta tale te timp tine toate toată tot totuşi toţi trei treia treilea tu tăi tău un una unde undeva unei uneia unele uneori unii unor unora unu unui unuia unul vi voastre voastră voi vostru vouă voştri vreme vreo vreun vă zece zero zi zice îi îl îmi împotriva în înainte înaintea încotro încât încît între întrucât întrucît îţi ăla ălea ăsta ăstea ăştia şapte şase şi ştiu ţi ţie".split(" 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Please include / require Lunr stemmer support before this script.");var r="2"==e.version[0];e.th=function(){this.pipeline.reset(),this.pipeline.add(e.th.trimmer),r?this.tokenizer=e.th.tokenizer:(e.tokenizer&&(e.tokenizer=e.th.tokenizer),this.tokenizerFn&&(this.tokenizerFn=e.th.tokenizer))},e.th.wordCharacters="[฀-๿]",e.th.trimmer=e.trimmerSupport.generateTrimmer(e.th.wordCharacters),e.Pipeline.registerFunction(e.th.trimmer,"trimmer-th");var t=e.wordcut;t.init(),e.th.tokenizer=function(i){if(!arguments.length||null==i||void 0==i)return[];if(Array.isArray(i))return i.map(function(t){return r?new e.Token(t):t});var n=i.toString().replace(/^\s+/,"");return t.cut(n).split("|")}}}); \ No newline at end of file diff --git a/7.2/assets/javascripts/lunr/min/lunr.tr.min.js b/7.2/assets/javascripts/lunr/min/lunr.tr.min.js deleted file mode 100755 index 563f6ec1..00000000 --- a/7.2/assets/javascripts/lunr/min/lunr.tr.min.js +++ /dev/null @@ -1,18 +0,0 @@ -/*! - * Lunr languages, `Turkish` language - * https://github.com/MihaiValentin/lunr-languages - * - * Copyright 2014, Mihai Valentin - * http://www.mozilla.org/MPL/ - */ -/*! - * based on - * Snowball JavaScript Library v0.3 - * http://code.google.com/p/urim/ - * http://snowball.tartarus.org/ - * - * Copyright 2010, Oleg Mazko - * http://www.mozilla.org/MPL/ - */ - -!function(r,i){"function"==typeof define&&define.amd?define(i):"object"==typeof exports?module.exports=i():i()(r.lunr)}(this,function(){return function(r){if(void 0===r)throw new Error("Lunr is not present. 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- }) - this.addWords(words, false) - } - if(finalize){ - this.finalizeDict(); - } - }, - - dictSeek: function (l, r, ch, strOffset, pos) { - var ans = null; - while (l <= r) { - var m = Math.floor((l + r) / 2), - dict_item = this.dict[m], - len = dict_item.length; - if (len <= strOffset) { - l = m + 1; - } else { - var ch_ = dict_item[strOffset]; - if (ch_ < ch) { - l = m + 1; - } else if (ch_ > ch) { - r = m - 1; - } else { - ans = m; - if (pos == LEFT) { - r = m - 1; - } else { - l = m + 1; - } - } - } - } - return ans; - }, - - isFinal: function (acceptor) { - return this.dict[acceptor.l].length == acceptor.strOffset; - }, - - createAcceptor: function () { - return { - l: 0, - r: this.dict.length - 1, - strOffset: 0, - isFinal: false, - dict: this, - transit: function (ch) { - return this.dict.transit(this, ch); - }, - isError: false, - tag: "DICT", - w: 1, - type: "DICT" - }; - }, - - transit: function (acceptor, ch) { - var l = this.dictSeek(acceptor.l, - acceptor.r, - ch, - acceptor.strOffset, - LEFT); - if (l !== null) { - var r = this.dictSeek(l, - acceptor.r, - ch, - acceptor.strOffset, - RIGHT); - acceptor.l = l; - acceptor.r = r; - acceptor.strOffset++; - acceptor.isFinal = this.isFinal(acceptor); - } else { - acceptor.isError = true; - } - return acceptor; - }, - - sortuniq: function(a){ - return a.sort().filter(function(item, pos, arr){ - return !pos || item != arr[pos - 1]; - }) - }, - - flatten: function(a){ - //[[1,2],[3]] -> [1,2,3] - return [].concat.apply([], a); - } -}; -module.exports = WordcutDict; - -}).call(this,"/dist/tmp") -},{"glob":16,"path":22}],3:[function(require,module,exports){ -var WordRule = { - createAcceptor: function(tag) { - if (tag["WORD_RULE"]) - return null; - - return {strOffset: 0, - isFinal: false, - transit: function(ch) { - var lch = ch.toLowerCase(); - if (lch >= "a" && lch <= "z") { - this.isFinal = true; - this.strOffset++; - } else { - this.isError = true; - } - return this; - }, - isError: false, - tag: "WORD_RULE", - type: "WORD_RULE", - w: 1}; - } -}; - -var NumberRule = { - createAcceptor: function(tag) { - if (tag["NUMBER_RULE"]) - return null; - - return {strOffset: 0, - isFinal: false, - transit: function(ch) { - if (ch >= "0" && ch <= "9") { - this.isFinal = true; - this.strOffset++; - } else { - this.isError = true; - } - return this; - }, - isError: false, - tag: "NUMBER_RULE", - type: "NUMBER_RULE", - w: 1}; - } -}; - -var SpaceRule = { - tag: "SPACE_RULE", - createAcceptor: function(tag) { - - if (tag["SPACE_RULE"]) - return null; - - return {strOffset: 0, - isFinal: false, - transit: function(ch) { - if (ch == " " || ch == "\t" || ch == "\r" || ch == "\n" || - ch == "\u00A0" || ch=="\u2003"//nbsp and emsp - ) { - this.isFinal = true; - this.strOffset++; - } else { - this.isError = true; - } - return this; - }, - isError: false, - tag: SpaceRule.tag, - w: 1, - type: "SPACE_RULE"}; - } -} - -var SingleSymbolRule = { - tag: "SINSYM", - createAcceptor: function(tag) { - return {strOffset: 0, - isFinal: false, - transit: function(ch) { - if (this.strOffset == 0 && ch.match(/^[\@\(\)\/\,\-\."`]$/)) { - this.isFinal = true; - this.strOffset++; - } else { - this.isError = true; - } - return this; - }, - isError: false, - tag: "SINSYM", - w: 1, - type: "SINSYM"}; - } -} - - -var LatinRules = [WordRule, SpaceRule, SingleSymbolRule, NumberRule]; - -module.exports = LatinRules; - -},{}],4:[function(require,module,exports){ -var _ = require("underscore") - , WordcutCore = require("./wordcut_core"); -var PathInfoBuilder = { - - /* - buildByPartAcceptors: function(path, acceptors, i) { - var - var genInfos = partAcceptors.reduce(function(genInfos, acceptor) { - - }, []); - - return genInfos; - } - */ - - buildByAcceptors: function(path, finalAcceptors, i) { - var self = this; - var infos = finalAcceptors.map(function(acceptor) { - var p = i - acceptor.strOffset + 1 - , _info = path[p]; - - var info = {p: p, - mw: _info.mw + (acceptor.mw === undefined ? 0 : acceptor.mw), - w: acceptor.w + _info.w, - unk: (acceptor.unk ? acceptor.unk : 0) + _info.unk, - type: acceptor.type}; - - if (acceptor.type == "PART") { - for(var j = p + 1; j <= i; j++) { - path[j].merge = p; - } - info.merge = p; - } - - return info; - }); - return infos.filter(function(info) { return info; }); - }, - - fallback: function(path, leftBoundary, text, i) { - var _info = path[leftBoundary]; - if (text[i].match(/[\u0E48-\u0E4E]/)) { - if (leftBoundary != 0) - leftBoundary = path[leftBoundary].p; - return {p: leftBoundary, - mw: 0, - w: 1 + _info.w, - unk: 1 + _info.unk, - type: "UNK"}; -/* } else if(leftBoundary > 0 && path[leftBoundary].type !== "UNK") { - leftBoundary = path[leftBoundary].p; - return {p: leftBoundary, - w: 1 + _info.w, - unk: 1 + _info.unk, - type: "UNK"}; */ - } else { - return {p: leftBoundary, - mw: _info.mw, - w: 1 + _info.w, - unk: 1 + _info.unk, - type: "UNK"}; - } - }, - - build: function(path, finalAcceptors, i, leftBoundary, text) { - var basicPathInfos = this.buildByAcceptors(path, finalAcceptors, i); - if (basicPathInfos.length > 0) { - return basicPathInfos; - } else { - return [this.fallback(path, leftBoundary, text, i)]; - } - } -}; - -module.exports = function() { - return _.clone(PathInfoBuilder); -} - -},{"./wordcut_core":8,"underscore":25}],5:[function(require,module,exports){ -var _ = require("underscore"); - - -var PathSelector = { - selectPath: function(paths) { - var path = paths.reduce(function(selectedPath, path) { - if (selectedPath == null) { - return path; - } else { - if (path.unk < selectedPath.unk) - return path; - if (path.unk == selectedPath.unk) { - if (path.mw < selectedPath.mw) - return path - if (path.mw == selectedPath.mw) { - if (path.w < selectedPath.w) - return path; - } - } - return selectedPath; - } - }, null); - return path; - }, - - createPath: function() { - return [{p:null, w:0, unk:0, type: "INIT", mw:0}]; - } -}; - -module.exports = function() { - return _.clone(PathSelector); -}; - -},{"underscore":25}],6:[function(require,module,exports){ -function isMatch(pat, offset, ch) { - if (pat.length <= offset) - return false; - var _ch = pat[offset]; - return _ch == ch || - (_ch.match(/[กข]/) && ch.match(/[ก-ฮ]/)) || - (_ch.match(/[มบ]/) && ch.match(/[ก-ฮ]/)) || - (_ch.match(/\u0E49/) && ch.match(/[\u0E48-\u0E4B]/)); -} - -var Rule0 = { - pat: "เหก็ม", - createAcceptor: function(tag) { - return {strOffset: 0, - isFinal: false, - transit: function(ch) { - if (isMatch(Rule0.pat, this.strOffset,ch)) { - this.isFinal = (this.strOffset + 1 == Rule0.pat.length); - this.strOffset++; - } else { - this.isError = true; - } - return this; - }, - isError: false, - tag: "THAI_RULE", - type: "THAI_RULE", - w: 1}; - } -}; - -var PartRule = { - createAcceptor: function(tag) { - return {strOffset: 0, - patterns: [ - "แก", "เก", "ก้", "กก์", "กา", "กี", "กิ", "กืก" - ], - isFinal: false, - transit: function(ch) { - var offset = this.strOffset; - this.patterns = this.patterns.filter(function(pat) { - return isMatch(pat, offset, ch); - }); - - if (this.patterns.length > 0) { - var len = 1 + offset; - this.isFinal = this.patterns.some(function(pat) { - return pat.length == len; - }); - this.strOffset++; - } else { - this.isError = true; - } - return this; - }, - isError: false, - tag: "PART", - type: "PART", - unk: 1, - w: 1}; - } -}; - -var ThaiRules = [Rule0, PartRule]; - -module.exports = ThaiRules; - -},{}],7:[function(require,module,exports){ -var sys = require("sys") - , WordcutDict = require("./dict") - , WordcutCore = require("./wordcut_core") - , PathInfoBuilder = require("./path_info_builder") - , PathSelector = require("./path_selector") - , Acceptors = require("./acceptors") - , latinRules = require("./latin_rules") - , thaiRules = require("./thai_rules") - , _ = require("underscore"); - - -var Wordcut = Object.create(WordcutCore); -Wordcut.defaultPathInfoBuilder = PathInfoBuilder; -Wordcut.defaultPathSelector = PathSelector; -Wordcut.defaultAcceptors = Acceptors; -Wordcut.defaultLatinRules = latinRules; -Wordcut.defaultThaiRules = thaiRules; -Wordcut.defaultDict = WordcutDict; - - -Wordcut.initNoDict = function(dict_path) { - var self = this; - self.pathInfoBuilder = new self.defaultPathInfoBuilder; - self.pathSelector = new self.defaultPathSelector; - self.acceptors = new self.defaultAcceptors; - self.defaultLatinRules.forEach(function(rule) { - self.acceptors.creators.push(rule); - }); - self.defaultThaiRules.forEach(function(rule) { - self.acceptors.creators.push(rule); - }); -}; - -Wordcut.init = function(dict_path, withDefault, additionalWords) { - withDefault = withDefault || false; - this.initNoDict(); - var dict = _.clone(this.defaultDict); - dict.init(dict_path, withDefault, additionalWords); - this.acceptors.creators.push(dict); -}; - -module.exports = Wordcut; - -},{"./acceptors":1,"./dict":2,"./latin_rules":3,"./path_info_builder":4,"./path_selector":5,"./thai_rules":6,"./wordcut_core":8,"sys":28,"underscore":25}],8:[function(require,module,exports){ -var WordcutCore = { - - buildPath: function(text) { - var self = this - , path = self.pathSelector.createPath() - , leftBoundary = 0; - self.acceptors.reset(); - for (var i = 0; i < text.length; i++) { - var ch = text[i]; - self.acceptors.transit(ch); - - var possiblePathInfos = self - .pathInfoBuilder - .build(path, - self.acceptors.getFinalAcceptors(), - i, - leftBoundary, - text); - var selectedPath = self.pathSelector.selectPath(possiblePathInfos) - - path.push(selectedPath); - if (selectedPath.type !== "UNK") { - leftBoundary = i; - } - } - return path; - }, - - pathToRanges: function(path) { - var e = path.length - 1 - , ranges = []; - - while (e > 0) { - var info = path[e] - , s = info.p; - - if (info.merge !== undefined && ranges.length > 0) { - var r = ranges[ranges.length - 1]; - r.s = info.merge; - s = r.s; - } else { - ranges.push({s:s, e:e}); - } - e = s; - } - return ranges.reverse(); - }, - - rangesToText: function(text, ranges, delimiter) { - return ranges.map(function(r) { - return text.substring(r.s, r.e); - }).join(delimiter); - }, - - cut: function(text, delimiter) { - var path = this.buildPath(text) - , ranges = this.pathToRanges(path); - return this - .rangesToText(text, ranges, - (delimiter === undefined ? "|" : delimiter)); - }, - - cutIntoRanges: function(text, noText) { - var path = this.buildPath(text) - , ranges = this.pathToRanges(path); - - if (!noText) { - ranges.forEach(function(r) { - r.text = text.substring(r.s, r.e); - }); - } - return ranges; - }, - - cutIntoArray: function(text) { - var path = this.buildPath(text) - , ranges = this.pathToRanges(path); - - return ranges.map(function(r) { - return text.substring(r.s, r.e) - }); - } -}; - -module.exports = WordcutCore; - -},{}],9:[function(require,module,exports){ -// http://wiki.commonjs.org/wiki/Unit_Testing/1.0 -// -// THIS IS NOT TESTED NOR LIKELY TO WORK OUTSIDE V8! -// -// Originally from narwhal.js (http://narwhaljs.org) -// Copyright (c) 2009 Thomas Robinson <280north.com> -// -// Permission is hereby granted, free of charge, to any person obtaining a copy -// of this software and associated documentation files (the 'Software'), to -// deal in the Software without restriction, including without limitation the -// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or -// sell copies of the Software, and to permit persons to whom the Software is -// furnished to do so, subject to the following conditions: -// -// The above copyright notice and this permission notice shall be included in -// all copies or substantial portions of the Software. -// -// THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -// AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN -// ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION -// WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. - -// when used in node, this will actually load the util module we depend on -// versus loading the builtin util module as happens otherwise -// this is a bug in node module loading as far as I am concerned -var util = require('util/'); - -var pSlice = Array.prototype.slice; -var hasOwn = Object.prototype.hasOwnProperty; - -// 1. The assert module provides functions that throw -// AssertionError's when particular conditions are not met. The -// assert module must conform to the following interface. - -var assert = module.exports = ok; - -// 2. The AssertionError is defined in assert. -// new assert.AssertionError({ message: message, -// actual: actual, -// expected: expected }) - -assert.AssertionError = function AssertionError(options) { - this.name = 'AssertionError'; - this.actual = options.actual; - this.expected = options.expected; - this.operator = options.operator; - if (options.message) { - this.message = options.message; - this.generatedMessage = false; - } else { - this.message = getMessage(this); - this.generatedMessage = true; - } - var stackStartFunction = options.stackStartFunction || fail; - - if (Error.captureStackTrace) { - Error.captureStackTrace(this, stackStartFunction); - } - else { - // non v8 browsers so we can have a stacktrace - var err = new Error(); - if (err.stack) { - var out = err.stack; - - // try to strip useless frames - var fn_name = stackStartFunction.name; - var idx = out.indexOf('\n' + fn_name); - if (idx >= 0) { - // once we have located the function frame - // we need to strip out everything before it (and its line) - var next_line = out.indexOf('\n', idx + 1); - out = out.substring(next_line + 1); - } - - this.stack = out; - } - } -}; - -// assert.AssertionError instanceof Error -util.inherits(assert.AssertionError, Error); - -function replacer(key, value) { - if (util.isUndefined(value)) { - return '' + value; - } - if (util.isNumber(value) && !isFinite(value)) { - return value.toString(); - } - if (util.isFunction(value) || util.isRegExp(value)) { - return value.toString(); - } - return value; -} - -function truncate(s, n) { - if (util.isString(s)) { - return s.length < n ? s : s.slice(0, n); - } else { - return s; - } -} - -function getMessage(self) { - return truncate(JSON.stringify(self.actual, replacer), 128) + ' ' + - self.operator + ' ' + - truncate(JSON.stringify(self.expected, replacer), 128); -} - -// At present only the three keys mentioned above are used and -// understood by the spec. Implementations or sub modules can pass -// other keys to the AssertionError's constructor - they will be -// ignored. - -// 3. All of the following functions must throw an AssertionError -// when a corresponding condition is not met, with a message that -// may be undefined if not provided. All assertion methods provide -// both the actual and expected values to the assertion error for -// display purposes. - -function fail(actual, expected, message, operator, stackStartFunction) { - throw new assert.AssertionError({ - message: message, - actual: actual, - expected: expected, - operator: operator, - stackStartFunction: stackStartFunction - }); -} - -// EXTENSION! allows for well behaved errors defined elsewhere. -assert.fail = fail; - -// 4. Pure assertion tests whether a value is truthy, as determined -// by !!guard. -// assert.ok(guard, message_opt); -// This statement is equivalent to assert.equal(true, !!guard, -// message_opt);. To test strictly for the value true, use -// assert.strictEqual(true, guard, message_opt);. - -function ok(value, message) { - if (!value) fail(value, true, message, '==', assert.ok); -} -assert.ok = ok; - -// 5. The equality assertion tests shallow, coercive equality with -// ==. -// assert.equal(actual, expected, message_opt); - -assert.equal = function equal(actual, expected, message) { - if (actual != expected) fail(actual, expected, message, '==', assert.equal); -}; - -// 6. The non-equality assertion tests for whether two objects are not equal -// with != assert.notEqual(actual, expected, message_opt); - -assert.notEqual = function notEqual(actual, expected, message) { - if (actual == expected) { - fail(actual, expected, message, '!=', assert.notEqual); - } -}; - -// 7. The equivalence assertion tests a deep equality relation. -// assert.deepEqual(actual, expected, message_opt); - -assert.deepEqual = function deepEqual(actual, expected, message) { - if (!_deepEqual(actual, expected)) { - fail(actual, expected, message, 'deepEqual', assert.deepEqual); - } -}; - -function _deepEqual(actual, expected) { - // 7.1. All identical values are equivalent, as determined by ===. - if (actual === expected) { - return true; - - } else if (util.isBuffer(actual) && util.isBuffer(expected)) { - if (actual.length != expected.length) return false; - - for (var i = 0; i < actual.length; i++) { - if (actual[i] !== expected[i]) return false; - } - - return true; - - // 7.2. If the expected value is a Date object, the actual value is - // equivalent if it is also a Date object that refers to the same time. - } else if (util.isDate(actual) && util.isDate(expected)) { - return actual.getTime() === expected.getTime(); - - // 7.3 If the expected value is a RegExp object, the actual value is - // equivalent if it is also a RegExp object with the same source and - // properties (`global`, `multiline`, `lastIndex`, `ignoreCase`). - } else if (util.isRegExp(actual) && util.isRegExp(expected)) { - return actual.source === expected.source && - actual.global === expected.global && - actual.multiline === expected.multiline && - actual.lastIndex === expected.lastIndex && - actual.ignoreCase === expected.ignoreCase; - - // 7.4. Other pairs that do not both pass typeof value == 'object', - // equivalence is determined by ==. - } else if (!util.isObject(actual) && !util.isObject(expected)) { - return actual == expected; - - // 7.5 For all other Object pairs, including Array objects, equivalence is - // determined by having the same number of owned properties (as verified - // with Object.prototype.hasOwnProperty.call), the same set of keys - // (although not necessarily the same order), equivalent values for every - // corresponding key, and an identical 'prototype' property. Note: this - // accounts for both named and indexed properties on Arrays. - } else { - return objEquiv(actual, expected); - } -} - -function isArguments(object) { - return Object.prototype.toString.call(object) == '[object Arguments]'; -} - -function objEquiv(a, b) { - if (util.isNullOrUndefined(a) || util.isNullOrUndefined(b)) - return false; - // an identical 'prototype' property. - if (a.prototype !== b.prototype) return false; - // if one is a primitive, the other must be same - if (util.isPrimitive(a) || util.isPrimitive(b)) { - return a === b; - } - var aIsArgs = isArguments(a), - bIsArgs = isArguments(b); - if ((aIsArgs && !bIsArgs) || (!aIsArgs && bIsArgs)) - return false; - if (aIsArgs) { - a = pSlice.call(a); - b = pSlice.call(b); - return _deepEqual(a, b); - } - var ka = objectKeys(a), - kb = objectKeys(b), - key, i; - // having the same number of owned properties (keys incorporates - // hasOwnProperty) - if (ka.length != kb.length) - return false; - //the same set of keys (although not necessarily the same order), - ka.sort(); - kb.sort(); - //~~~cheap key test - for (i = ka.length - 1; i >= 0; i--) { - if (ka[i] != kb[i]) - return false; - } - //equivalent values for every corresponding key, and - //~~~possibly expensive deep test - for (i = ka.length - 1; i >= 0; i--) { - key = ka[i]; - if (!_deepEqual(a[key], b[key])) return false; - } - return true; -} - -// 8. The non-equivalence assertion tests for any deep inequality. -// assert.notDeepEqual(actual, expected, message_opt); - -assert.notDeepEqual = function notDeepEqual(actual, expected, message) { - if (_deepEqual(actual, expected)) { - fail(actual, expected, message, 'notDeepEqual', assert.notDeepEqual); - } -}; - -// 9. The strict equality assertion tests strict equality, as determined by ===. -// assert.strictEqual(actual, expected, message_opt); - -assert.strictEqual = function strictEqual(actual, expected, message) { - if (actual !== expected) { - fail(actual, expected, message, '===', assert.strictEqual); - } -}; - -// 10. The strict non-equality assertion tests for strict inequality, as -// determined by !==. assert.notStrictEqual(actual, expected, message_opt); - -assert.notStrictEqual = function notStrictEqual(actual, expected, message) { - if (actual === expected) { - fail(actual, expected, message, '!==', assert.notStrictEqual); - } -}; - -function expectedException(actual, expected) { - if (!actual || !expected) { - return false; - } - - if (Object.prototype.toString.call(expected) == '[object RegExp]') { - return expected.test(actual); - } else if (actual instanceof expected) { - return true; - } else if (expected.call({}, actual) === true) { - return true; - } - - return false; -} - -function _throws(shouldThrow, block, expected, message) { - var actual; - - if (util.isString(expected)) { - message = expected; - expected = null; - } - - try { - block(); - } catch (e) { - actual = e; - } - - message = (expected && expected.name ? ' (' + expected.name + ').' : '.') + - (message ? ' ' + message : '.'); - - if (shouldThrow && !actual) { - fail(actual, expected, 'Missing expected exception' + message); - } - - if (!shouldThrow && expectedException(actual, expected)) { - fail(actual, expected, 'Got unwanted exception' + message); - } - - if ((shouldThrow && actual && expected && - !expectedException(actual, expected)) || (!shouldThrow && actual)) { - throw actual; - } -} - -// 11. Expected to throw an error: -// assert.throws(block, Error_opt, message_opt); - -assert.throws = function(block, /*optional*/error, /*optional*/message) { - _throws.apply(this, [true].concat(pSlice.call(arguments))); -}; - -// EXTENSION! This is annoying to write outside this module. -assert.doesNotThrow = function(block, /*optional*/message) { - _throws.apply(this, [false].concat(pSlice.call(arguments))); -}; - -assert.ifError = function(err) { if (err) {throw err;}}; - -var objectKeys = Object.keys || function (obj) { - var keys = []; - for (var key in obj) { - if (hasOwn.call(obj, key)) keys.push(key); - } - return keys; -}; - -},{"util/":28}],10:[function(require,module,exports){ -'use strict'; -module.exports = balanced; -function balanced(a, b, str) { - if (a instanceof RegExp) a = maybeMatch(a, str); - if (b instanceof RegExp) b = maybeMatch(b, str); - - var r = range(a, b, str); - - return r && { - start: r[0], - end: r[1], - pre: str.slice(0, r[0]), - body: str.slice(r[0] + a.length, r[1]), - post: str.slice(r[1] + b.length) - }; -} - -function maybeMatch(reg, str) { - var m = str.match(reg); - return m ? m[0] : null; -} - -balanced.range = range; -function range(a, b, str) { - var begs, beg, left, right, result; - var ai = str.indexOf(a); - var bi = str.indexOf(b, ai + 1); - var i = ai; - - if (ai >= 0 && bi > 0) { - begs = []; - left = str.length; - - while (i >= 0 && !result) { - if (i == ai) { - begs.push(i); - ai = str.indexOf(a, i + 1); - } else if (begs.length == 1) { - result = [ begs.pop(), bi ]; - } else { - beg = begs.pop(); - if (beg < left) { - left = beg; - right = bi; - } - - bi = str.indexOf(b, i + 1); - } - - i = ai < bi && ai >= 0 ? ai : bi; - } - - if (begs.length) { - result = [ left, right ]; - } - } - - return result; -} - -},{}],11:[function(require,module,exports){ -var concatMap = require('concat-map'); -var balanced = require('balanced-match'); - -module.exports = expandTop; - -var escSlash = '\0SLASH'+Math.random()+'\0'; -var escOpen = '\0OPEN'+Math.random()+'\0'; -var escClose = '\0CLOSE'+Math.random()+'\0'; -var escComma = '\0COMMA'+Math.random()+'\0'; -var escPeriod = '\0PERIOD'+Math.random()+'\0'; - -function numeric(str) { - return parseInt(str, 10) == str - ? parseInt(str, 10) - : str.charCodeAt(0); -} - -function escapeBraces(str) { - return str.split('\\\\').join(escSlash) - .split('\\{').join(escOpen) - .split('\\}').join(escClose) - .split('\\,').join(escComma) - .split('\\.').join(escPeriod); -} - -function unescapeBraces(str) { - return str.split(escSlash).join('\\') - .split(escOpen).join('{') - .split(escClose).join('}') - .split(escComma).join(',') - .split(escPeriod).join('.'); -} - - -// Basically just str.split(","), but handling cases -// where we have nested braced sections, which should be -// treated as individual members, like {a,{b,c},d} -function parseCommaParts(str) { - if (!str) - return ['']; - - var parts = []; - var m = balanced('{', '}', str); - - if (!m) - return str.split(','); - - var pre = m.pre; - var body = m.body; - var post = m.post; - var p = pre.split(','); - - p[p.length-1] += '{' + body + '}'; - var postParts = parseCommaParts(post); - if (post.length) { - p[p.length-1] += postParts.shift(); - p.push.apply(p, postParts); - } - - parts.push.apply(parts, p); - - return parts; -} - -function expandTop(str) { - if (!str) - return []; - - // I don't know why Bash 4.3 does this, but it does. - // Anything starting with {} will have the first two bytes preserved - // but *only* at the top level, so {},a}b will not expand to anything, - // but a{},b}c will be expanded to [a}c,abc]. - // One could argue that this is a bug in Bash, but since the goal of - // this module is to match Bash's rules, we escape a leading {} - if (str.substr(0, 2) === '{}') { - str = '\\{\\}' + str.substr(2); - } - - return expand(escapeBraces(str), true).map(unescapeBraces); -} - -function identity(e) { - return e; -} - -function embrace(str) { - return '{' + str + '}'; -} -function isPadded(el) { - return /^-?0\d/.test(el); -} - -function lte(i, y) { - return i <= y; -} -function gte(i, y) { - return i >= y; -} - -function expand(str, isTop) { - var expansions = []; - - var m = balanced('{', '}', str); - if (!m || /\$$/.test(m.pre)) return [str]; - - var isNumericSequence = /^-?\d+\.\.-?\d+(?:\.\.-?\d+)?$/.test(m.body); - var isAlphaSequence = /^[a-zA-Z]\.\.[a-zA-Z](?:\.\.-?\d+)?$/.test(m.body); - var isSequence = isNumericSequence || isAlphaSequence; - var isOptions = m.body.indexOf(',') >= 0; - if (!isSequence && !isOptions) { - // {a},b} - if (m.post.match(/,.*\}/)) { - str = m.pre + '{' + m.body + escClose + m.post; - return expand(str); - } - return [str]; - } - - var n; - if (isSequence) { - n = m.body.split(/\.\./); - } else { - n = parseCommaParts(m.body); - if (n.length === 1) { - // x{{a,b}}y ==> x{a}y x{b}y - n = expand(n[0], false).map(embrace); - if (n.length === 1) { - var post = m.post.length - ? expand(m.post, false) - : ['']; - return post.map(function(p) { - return m.pre + n[0] + p; - }); - } - } - } - - // at this point, n is the parts, and we know it's not a comma set - // with a single entry. - - // no need to expand pre, since it is guaranteed to be free of brace-sets - var pre = m.pre; - var post = m.post.length - ? expand(m.post, false) - : ['']; - - var N; - - if (isSequence) { - var x = numeric(n[0]); - var y = numeric(n[1]); - var width = Math.max(n[0].length, n[1].length) - var incr = n.length == 3 - ? Math.abs(numeric(n[2])) - : 1; - var test = lte; - var reverse = y < x; - if (reverse) { - incr *= -1; - test = gte; - } - var pad = n.some(isPadded); - - N = []; - - for (var i = x; test(i, y); i += incr) { - var c; - if (isAlphaSequence) { - c = String.fromCharCode(i); - if (c === '\\') - c = ''; - } else { - c = String(i); - if (pad) { - var need = width - c.length; - if (need > 0) { - var z = new Array(need + 1).join('0'); - if (i < 0) - c = '-' + z + c.slice(1); - else - c = z + c; - } - } - } - N.push(c); - } - } else { - N = concatMap(n, function(el) { return expand(el, false) }); - } - - for (var j = 0; j < N.length; j++) { - for (var k = 0; k < post.length; k++) { - var expansion = pre + N[j] + post[k]; - if (!isTop || isSequence || expansion) - expansions.push(expansion); - } - } - - return expansions; -} - - -},{"balanced-match":10,"concat-map":13}],12:[function(require,module,exports){ - -},{}],13:[function(require,module,exports){ -module.exports = function (xs, fn) { - var res = []; - for (var i = 0; i < xs.length; i++) { - var x = fn(xs[i], i); - if (isArray(x)) res.push.apply(res, x); - else res.push(x); - } - return res; -}; - -var isArray = Array.isArray || function (xs) { - return Object.prototype.toString.call(xs) === '[object Array]'; -}; - -},{}],14:[function(require,module,exports){ -// Copyright Joyent, Inc. and other Node contributors. -// -// Permission is hereby granted, free of charge, to any person obtaining a -// copy of this software and associated documentation files (the -// "Software"), to deal in the Software without restriction, including -// without limitation the rights to use, copy, modify, merge, publish, -// distribute, sublicense, and/or sell copies of the Software, and to permit -// persons to whom the Software is furnished to do so, subject to the -// following conditions: -// -// The above copyright notice and this permission notice shall be included -// in all copies or substantial portions of the Software. -// -// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS -// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF -// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN -// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, -// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR -// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE -// USE OR OTHER DEALINGS IN THE SOFTWARE. - -function EventEmitter() { - this._events = this._events || {}; - this._maxListeners = this._maxListeners || undefined; -} -module.exports = EventEmitter; - -// Backwards-compat with node 0.10.x -EventEmitter.EventEmitter = EventEmitter; - -EventEmitter.prototype._events = undefined; -EventEmitter.prototype._maxListeners = undefined; - -// By default EventEmitters will print a warning if more than 10 listeners are -// added to it. This is a useful default which helps finding memory leaks. -EventEmitter.defaultMaxListeners = 10; - -// Obviously not all Emitters should be limited to 10. This function allows -// that to be increased. Set to zero for unlimited. -EventEmitter.prototype.setMaxListeners = function(n) { - if (!isNumber(n) || n < 0 || isNaN(n)) - throw TypeError('n must be a positive number'); - this._maxListeners = n; - return this; -}; - -EventEmitter.prototype.emit = function(type) { - var er, handler, len, args, i, listeners; - - if (!this._events) - this._events = {}; - - // If there is no 'error' event listener then throw. - if (type === 'error') { - if (!this._events.error || - (isObject(this._events.error) && !this._events.error.length)) { - er = arguments[1]; - if (er instanceof Error) { - throw er; // Unhandled 'error' event - } - throw TypeError('Uncaught, unspecified "error" event.'); - } - } - - handler = this._events[type]; - - if (isUndefined(handler)) - return false; - - if (isFunction(handler)) { - switch (arguments.length) { - // fast cases - case 1: - handler.call(this); - break; - case 2: - handler.call(this, arguments[1]); - break; - case 3: - handler.call(this, arguments[1], arguments[2]); - break; - // slower - default: - len = arguments.length; - args = new Array(len - 1); - for (i = 1; i < len; i++) - args[i - 1] = arguments[i]; - handler.apply(this, args); - } - } else if (isObject(handler)) { - len = arguments.length; - args = new Array(len - 1); - for (i = 1; i < len; i++) - args[i - 1] = arguments[i]; - - listeners = handler.slice(); - len = listeners.length; - for (i = 0; i < len; i++) - listeners[i].apply(this, args); - } - - return true; -}; - -EventEmitter.prototype.addListener = function(type, listener) { - var m; - - if (!isFunction(listener)) - throw TypeError('listener must be a function'); - - if (!this._events) - this._events = {}; - - // To avoid recursion in the case that type === "newListener"! Before - // adding it to the listeners, first emit "newListener". - if (this._events.newListener) - this.emit('newListener', type, - isFunction(listener.listener) ? - listener.listener : listener); - - if (!this._events[type]) - // Optimize the case of one listener. Don't need the extra array object. - this._events[type] = listener; - else if (isObject(this._events[type])) - // If we've already got an array, just append. - this._events[type].push(listener); - else - // Adding the second element, need to change to array. - this._events[type] = [this._events[type], listener]; - - // Check for listener leak - if (isObject(this._events[type]) && !this._events[type].warned) { - var m; - if (!isUndefined(this._maxListeners)) { - m = this._maxListeners; - } else { - m = EventEmitter.defaultMaxListeners; - } - - if (m && m > 0 && this._events[type].length > m) { - this._events[type].warned = true; - console.error('(node) warning: possible EventEmitter memory ' + - 'leak detected. %d listeners added. ' + - 'Use emitter.setMaxListeners() to increase limit.', - this._events[type].length); - if (typeof console.trace === 'function') { - // not supported in IE 10 - console.trace(); - } - } - } - - return this; -}; - -EventEmitter.prototype.on = EventEmitter.prototype.addListener; - -EventEmitter.prototype.once = function(type, listener) { - if (!isFunction(listener)) - throw TypeError('listener must be a function'); - - var fired = false; - - function g() { - this.removeListener(type, g); - - if (!fired) { - fired = true; - listener.apply(this, arguments); - } - } - - g.listener = listener; - this.on(type, g); - - return this; -}; - -// emits a 'removeListener' event iff the listener was removed -EventEmitter.prototype.removeListener = function(type, listener) { - var list, position, length, i; - - if (!isFunction(listener)) - throw TypeError('listener must be a function'); - - if (!this._events || !this._events[type]) - return this; - - list = this._events[type]; - length = list.length; - position = -1; - - if (list === listener || - (isFunction(list.listener) && list.listener === listener)) { - delete this._events[type]; - if (this._events.removeListener) - this.emit('removeListener', type, listener); - - } else if (isObject(list)) { - for (i = length; i-- > 0;) { - if (list[i] === listener || - (list[i].listener && list[i].listener === listener)) { - position = i; - break; - } - } - - if (position < 0) - return this; - - if (list.length === 1) { - list.length = 0; - delete this._events[type]; - } else { - list.splice(position, 1); - } - - if (this._events.removeListener) - this.emit('removeListener', type, listener); - } - - return this; -}; - -EventEmitter.prototype.removeAllListeners = function(type) { - var key, listeners; - - if (!this._events) - return this; - - // not listening for removeListener, no need to emit - if (!this._events.removeListener) { - if (arguments.length === 0) - this._events = {}; - else if (this._events[type]) - delete this._events[type]; - return this; - } - - // emit removeListener for all listeners on all events - if (arguments.length === 0) { - for (key in this._events) { - if (key === 'removeListener') continue; - this.removeAllListeners(key); - } - this.removeAllListeners('removeListener'); - this._events = {}; - return this; - } - - listeners = this._events[type]; - - if (isFunction(listeners)) { - this.removeListener(type, listeners); - } else { - // LIFO order - while (listeners.length) - this.removeListener(type, listeners[listeners.length - 1]); - } - delete this._events[type]; - - return this; -}; - -EventEmitter.prototype.listeners = function(type) { - var ret; - if (!this._events || !this._events[type]) - ret = []; - else if (isFunction(this._events[type])) - ret = [this._events[type]]; - else - ret = this._events[type].slice(); - return ret; -}; - -EventEmitter.listenerCount = function(emitter, type) { - var ret; - if (!emitter._events || !emitter._events[type]) - ret = 0; - else if (isFunction(emitter._events[type])) - ret = 1; - else - ret = emitter._events[type].length; - return ret; -}; - -function isFunction(arg) { - return typeof arg === 'function'; -} - -function isNumber(arg) { - return typeof arg === 'number'; -} - -function isObject(arg) { - return typeof arg === 'object' && arg !== null; -} - -function isUndefined(arg) { - return arg === void 0; -} - -},{}],15:[function(require,module,exports){ -(function (process){ -exports.alphasort = alphasort -exports.alphasorti = alphasorti -exports.setopts = setopts -exports.ownProp = ownProp -exports.makeAbs = makeAbs -exports.finish = finish -exports.mark = mark -exports.isIgnored = isIgnored -exports.childrenIgnored = childrenIgnored - -function ownProp (obj, field) { - return Object.prototype.hasOwnProperty.call(obj, field) -} - -var path = require("path") -var minimatch = require("minimatch") -var isAbsolute = require("path-is-absolute") -var Minimatch = minimatch.Minimatch - -function alphasorti (a, b) { - return a.toLowerCase().localeCompare(b.toLowerCase()) -} - -function alphasort (a, b) { - return a.localeCompare(b) -} - -function setupIgnores (self, options) { - self.ignore = options.ignore || [] - - if (!Array.isArray(self.ignore)) - self.ignore = [self.ignore] - - if (self.ignore.length) { - self.ignore = self.ignore.map(ignoreMap) - } -} - -function ignoreMap (pattern) { - var gmatcher = null - if (pattern.slice(-3) === '/**') { - var gpattern = pattern.replace(/(\/\*\*)+$/, '') - gmatcher = new Minimatch(gpattern) - } - - return { - matcher: new Minimatch(pattern), - gmatcher: gmatcher - } -} - -function setopts (self, pattern, options) { - if (!options) - options = {} - - // base-matching: just use globstar for that. - if (options.matchBase && -1 === pattern.indexOf("/")) { - if (options.noglobstar) { - throw new Error("base matching requires globstar") - } - pattern = "**/" + pattern - } - - self.silent = !!options.silent - self.pattern = pattern - self.strict = options.strict !== false - self.realpath = !!options.realpath - self.realpathCache = options.realpathCache || Object.create(null) - self.follow = !!options.follow - self.dot = !!options.dot - self.mark = !!options.mark - self.nodir = !!options.nodir - if (self.nodir) - self.mark = true - self.sync = !!options.sync - self.nounique = !!options.nounique - self.nonull = !!options.nonull - self.nosort = !!options.nosort - self.nocase = !!options.nocase - self.stat = !!options.stat - self.noprocess = !!options.noprocess - - self.maxLength = options.maxLength || Infinity - self.cache = options.cache || Object.create(null) - self.statCache = options.statCache || Object.create(null) - self.symlinks = options.symlinks || Object.create(null) - - setupIgnores(self, options) - - self.changedCwd = false - var cwd = process.cwd() - if (!ownProp(options, "cwd")) - self.cwd = cwd - else { - self.cwd = options.cwd - self.changedCwd = path.resolve(options.cwd) !== cwd - } - - self.root = options.root || path.resolve(self.cwd, "/") - self.root = path.resolve(self.root) - if (process.platform === "win32") - self.root = self.root.replace(/\\/g, "/") - - self.nomount = !!options.nomount - - // disable comments and negation unless the user explicitly - // passes in false as the option. - options.nonegate = options.nonegate === false ? false : true - options.nocomment = options.nocomment === false ? false : true - deprecationWarning(options) - - self.minimatch = new Minimatch(pattern, options) - self.options = self.minimatch.options -} - -// TODO(isaacs): remove entirely in v6 -// exported to reset in tests -exports.deprecationWarned -function deprecationWarning(options) { - if (!options.nonegate || !options.nocomment) { - if (process.noDeprecation !== true && !exports.deprecationWarned) { - var msg = 'glob WARNING: comments and negation will be disabled in v6' - if (process.throwDeprecation) - throw new Error(msg) - else if (process.traceDeprecation) - console.trace(msg) - else - console.error(msg) - - exports.deprecationWarned = true - } - } -} - -function finish (self) { - var nou = self.nounique - var all = nou ? [] : Object.create(null) - - for (var i = 0, l = self.matches.length; i < l; i ++) { - var matches = self.matches[i] - if (!matches || Object.keys(matches).length === 0) { - if (self.nonull) { - // do like the shell, and spit out the literal glob - var literal = self.minimatch.globSet[i] - if (nou) - all.push(literal) - else - all[literal] = true - } - } else { - // had matches - var m = Object.keys(matches) - if (nou) - all.push.apply(all, m) - else - m.forEach(function (m) { - all[m] = true - }) - } - } - - if (!nou) - all = Object.keys(all) - - if (!self.nosort) - all = all.sort(self.nocase ? alphasorti : alphasort) - - // at *some* point we statted all of these - if (self.mark) { - for (var i = 0; i < all.length; i++) { - all[i] = self._mark(all[i]) - } - if (self.nodir) { - all = all.filter(function (e) { - return !(/\/$/.test(e)) - }) - } - } - - if (self.ignore.length) - all = all.filter(function(m) { - return !isIgnored(self, m) - }) - - self.found = all -} - -function mark (self, p) { - var abs = makeAbs(self, p) - var c = self.cache[abs] - var m = p - if (c) { - var isDir = c === 'DIR' || Array.isArray(c) - var slash = p.slice(-1) === '/' - - if (isDir && !slash) - m += '/' - else if (!isDir && slash) - m = m.slice(0, -1) - - if (m !== p) { - var mabs = makeAbs(self, m) - self.statCache[mabs] = self.statCache[abs] - self.cache[mabs] = self.cache[abs] - } - } - - return m -} - -// lotta situps... -function makeAbs (self, f) { - var abs = f - if (f.charAt(0) === '/') { - abs = path.join(self.root, f) - } else if (isAbsolute(f) || f === '') { - abs = f - } else if (self.changedCwd) { - abs = path.resolve(self.cwd, f) - } else { - abs = path.resolve(f) - } - return abs -} - - -// Return true, if pattern ends with globstar '**', for the accompanying parent directory. -// Ex:- If node_modules/** is the pattern, add 'node_modules' to ignore list along with it's contents -function isIgnored (self, path) { - if (!self.ignore.length) - return false - - return self.ignore.some(function(item) { - return item.matcher.match(path) || !!(item.gmatcher && item.gmatcher.match(path)) - }) -} - -function childrenIgnored (self, path) { - if (!self.ignore.length) - return false - - return self.ignore.some(function(item) { - return !!(item.gmatcher && item.gmatcher.match(path)) - }) -} - -}).call(this,require('_process')) -},{"_process":24,"minimatch":20,"path":22,"path-is-absolute":23}],16:[function(require,module,exports){ -(function (process){ -// Approach: -// -// 1. Get the minimatch set -// 2. For each pattern in the set, PROCESS(pattern, false) -// 3. Store matches per-set, then uniq them -// -// PROCESS(pattern, inGlobStar) -// Get the first [n] items from pattern that are all strings -// Join these together. This is PREFIX. -// If there is no more remaining, then stat(PREFIX) and -// add to matches if it succeeds. END. -// -// If inGlobStar and PREFIX is symlink and points to dir -// set ENTRIES = [] -// else readdir(PREFIX) as ENTRIES -// If fail, END -// -// with ENTRIES -// If pattern[n] is GLOBSTAR -// // handle the case where the globstar match is empty -// // by pruning it out, and testing the resulting pattern -// PROCESS(pattern[0..n] + pattern[n+1 .. $], false) -// // handle other cases. -// for ENTRY in ENTRIES (not dotfiles) -// // attach globstar + tail onto the entry -// // Mark that this entry is a globstar match -// PROCESS(pattern[0..n] + ENTRY + pattern[n .. $], true) -// -// else // not globstar -// for ENTRY in ENTRIES (not dotfiles, unless pattern[n] is dot) -// Test ENTRY against pattern[n] -// If fails, continue -// If passes, PROCESS(pattern[0..n] + item + pattern[n+1 .. $]) -// -// Caveat: -// Cache all stats and readdirs results to minimize syscall. Since all -// we ever care about is existence and directory-ness, we can just keep -// `true` for files, and [children,...] for directories, or `false` for -// things that don't exist. - -module.exports = glob - -var fs = require('fs') -var minimatch = require('minimatch') -var Minimatch = minimatch.Minimatch -var inherits = require('inherits') -var EE = require('events').EventEmitter -var path = require('path') -var assert = require('assert') -var isAbsolute = require('path-is-absolute') -var globSync = require('./sync.js') -var common = require('./common.js') -var alphasort = common.alphasort -var alphasorti = common.alphasorti -var setopts = common.setopts -var ownProp = common.ownProp -var inflight = require('inflight') -var util = require('util') -var childrenIgnored = common.childrenIgnored -var isIgnored = common.isIgnored - -var once = require('once') - -function glob (pattern, options, cb) { - if (typeof options === 'function') cb = options, options = {} - if (!options) options = {} - - if (options.sync) { - if (cb) - throw new TypeError('callback provided to sync glob') - return globSync(pattern, options) - } - - return new Glob(pattern, options, cb) -} - -glob.sync = globSync -var GlobSync = glob.GlobSync = globSync.GlobSync - -// old api surface -glob.glob = glob - -glob.hasMagic = function (pattern, options_) { - var options = util._extend({}, options_) - options.noprocess = true - - var g = new Glob(pattern, options) - var set = g.minimatch.set - if (set.length > 1) - return true - - for (var j = 0; j < set[0].length; j++) { - if (typeof set[0][j] !== 'string') - return true - } - - return false -} - -glob.Glob = Glob -inherits(Glob, EE) -function Glob (pattern, options, cb) { - if (typeof options === 'function') { - cb = options - options = null - } - - if (options && options.sync) { - if (cb) - throw new TypeError('callback provided to sync glob') - return new GlobSync(pattern, options) - } - - if (!(this instanceof Glob)) - return new Glob(pattern, options, cb) - - setopts(this, pattern, options) - this._didRealPath = false - - // process each pattern in the minimatch set - var n = this.minimatch.set.length - - // The matches are stored as {: true,...} so that - // duplicates are automagically pruned. - // Later, we do an Object.keys() on these. - // Keep them as a list so we can fill in when nonull is set. - this.matches = new Array(n) - - if (typeof cb === 'function') { - cb = once(cb) - this.on('error', cb) - this.on('end', function (matches) { - cb(null, matches) - }) - } - - var self = this - var n = this.minimatch.set.length - this._processing = 0 - this.matches = new Array(n) - - this._emitQueue = [] - this._processQueue = [] - this.paused = false - - if (this.noprocess) - return this - - if (n === 0) - return done() - - for (var i = 0; i < n; i ++) { - this._process(this.minimatch.set[i], i, false, done) - } - - function done () { - --self._processing - if (self._processing <= 0) - self._finish() - } -} - -Glob.prototype._finish = function () { - assert(this instanceof Glob) - if (this.aborted) - return - - if (this.realpath && !this._didRealpath) - return this._realpath() - - common.finish(this) - this.emit('end', this.found) -} - -Glob.prototype._realpath = function () { - if (this._didRealpath) - return - - this._didRealpath = true - - var n = this.matches.length - if (n === 0) - return this._finish() - - var self = this - for (var i = 0; i < this.matches.length; i++) - this._realpathSet(i, next) - - function next () { - if (--n === 0) - self._finish() - } -} - -Glob.prototype._realpathSet = function (index, cb) { - var matchset = this.matches[index] - if (!matchset) - return cb() - - var found = Object.keys(matchset) - var self = this - var n = found.length - - if (n === 0) - return cb() - - var set = this.matches[index] = Object.create(null) - found.forEach(function (p, i) { - // If there's a problem with the stat, then it means that - // one or more of the links in the realpath couldn't be - // resolved. just return the abs value in that case. - p = self._makeAbs(p) - fs.realpath(p, self.realpathCache, function (er, real) { - if (!er) - set[real] = true - else if (er.syscall === 'stat') - set[p] = true - else - self.emit('error', er) // srsly wtf right here - - if (--n === 0) { - self.matches[index] = set - cb() - } - }) - }) -} - -Glob.prototype._mark = function (p) { - return common.mark(this, p) -} - -Glob.prototype._makeAbs = function (f) { - return common.makeAbs(this, f) -} - -Glob.prototype.abort = function () { - this.aborted = true - this.emit('abort') -} - -Glob.prototype.pause = function () { - if (!this.paused) { - this.paused = true - this.emit('pause') - } -} - -Glob.prototype.resume = function () { - if (this.paused) { - this.emit('resume') - this.paused = false - if (this._emitQueue.length) { - var eq = this._emitQueue.slice(0) - this._emitQueue.length = 0 - for (var i = 0; i < eq.length; i ++) { - var e = eq[i] - this._emitMatch(e[0], e[1]) - } - } - if (this._processQueue.length) { - var pq = this._processQueue.slice(0) - this._processQueue.length = 0 - for (var i = 0; i < pq.length; i ++) { - var p = pq[i] - this._processing-- - this._process(p[0], p[1], p[2], p[3]) - } - } - } -} - -Glob.prototype._process = function (pattern, index, inGlobStar, cb) { - assert(this instanceof Glob) - assert(typeof cb === 'function') - - if (this.aborted) - return - - this._processing++ - if (this.paused) { - this._processQueue.push([pattern, index, inGlobStar, cb]) - return - } - - //console.error('PROCESS %d', this._processing, pattern) - - // Get the first [n] parts of pattern that are all strings. - var n = 0 - while (typeof pattern[n] === 'string') { - n ++ - } - // now n is the index of the first one that is *not* a string. - - // see if there's anything else - var prefix - switch (n) { - // if not, then this is rather simple - case pattern.length: - this._processSimple(pattern.join('/'), index, cb) - return - - case 0: - // pattern *starts* with some non-trivial item. - // going to readdir(cwd), but not include the prefix in matches. - prefix = null - break - - default: - // pattern has some string bits in the front. - // whatever it starts with, whether that's 'absolute' like /foo/bar, - // or 'relative' like '../baz' - prefix = pattern.slice(0, n).join('/') - break - } - - var remain = pattern.slice(n) - - // get the list of entries. - var read - if (prefix === null) - read = '.' - else if (isAbsolute(prefix) || isAbsolute(pattern.join('/'))) { - if (!prefix || !isAbsolute(prefix)) - prefix = '/' + prefix - read = prefix - } else - read = prefix - - var abs = this._makeAbs(read) - - //if ignored, skip _processing - if (childrenIgnored(this, read)) - return cb() - - var isGlobStar = remain[0] === minimatch.GLOBSTAR - if (isGlobStar) - this._processGlobStar(prefix, read, abs, remain, index, inGlobStar, cb) - else - this._processReaddir(prefix, read, abs, remain, index, inGlobStar, cb) -} - -Glob.prototype._processReaddir = function (prefix, read, abs, remain, index, inGlobStar, cb) { - var self = this - this._readdir(abs, inGlobStar, function (er, entries) { - return self._processReaddir2(prefix, read, abs, remain, index, inGlobStar, entries, cb) - }) -} - -Glob.prototype._processReaddir2 = function (prefix, read, abs, remain, index, inGlobStar, entries, cb) { - - // if the abs isn't a dir, then nothing can match! - if (!entries) - return cb() - - // It will only match dot entries if it starts with a dot, or if - // dot is set. Stuff like @(.foo|.bar) isn't allowed. - var pn = remain[0] - var negate = !!this.minimatch.negate - var rawGlob = pn._glob - var dotOk = this.dot || rawGlob.charAt(0) === '.' - - var matchedEntries = [] - for (var i = 0; i < entries.length; i++) { - var e = entries[i] - if (e.charAt(0) !== '.' || dotOk) { - var m - if (negate && !prefix) { - m = !e.match(pn) - } else { - m = e.match(pn) - } - if (m) - matchedEntries.push(e) - } - } - - //console.error('prd2', prefix, entries, remain[0]._glob, matchedEntries) - - var len = matchedEntries.length - // If there are no matched entries, then nothing matches. - if (len === 0) - return cb() - - // if this is the last remaining pattern bit, then no need for - // an additional stat *unless* the user has specified mark or - // stat explicitly. We know they exist, since readdir returned - // them. - - if (remain.length === 1 && !this.mark && !this.stat) { - if (!this.matches[index]) - this.matches[index] = Object.create(null) - - for (var i = 0; i < len; i ++) { - var e = matchedEntries[i] - if (prefix) { - if (prefix !== '/') - e = prefix + '/' + e - else - e = prefix + e - } - - if (e.charAt(0) === '/' && !this.nomount) { - e = path.join(this.root, e) - } - this._emitMatch(index, e) - } - // This was the last one, and no stats were needed - return cb() - } - - // now test all matched entries as stand-ins for that part - // of the pattern. - remain.shift() - for (var i = 0; i < len; i ++) { - var e = matchedEntries[i] - var newPattern - if (prefix) { - if (prefix !== '/') - e = prefix + '/' + e - else - e = prefix + e - } - this._process([e].concat(remain), index, inGlobStar, cb) - } - cb() -} - -Glob.prototype._emitMatch = function (index, e) { - if (this.aborted) - return - - if (this.matches[index][e]) - return - - if (isIgnored(this, e)) - return - - if (this.paused) { - this._emitQueue.push([index, e]) - return - } - - var abs = this._makeAbs(e) - - if (this.nodir) { - var c = this.cache[abs] - if (c === 'DIR' || Array.isArray(c)) - return - } - - if (this.mark) - e = this._mark(e) - - this.matches[index][e] = true - - var st = this.statCache[abs] - if (st) - this.emit('stat', e, st) - - this.emit('match', e) -} - -Glob.prototype._readdirInGlobStar = function (abs, cb) { - if (this.aborted) - return - - // follow all symlinked directories forever - // just proceed as if this is a non-globstar situation - if (this.follow) - return this._readdir(abs, false, cb) - - var lstatkey = 'lstat\0' + abs - var self = this - var lstatcb = inflight(lstatkey, lstatcb_) - - if (lstatcb) - fs.lstat(abs, lstatcb) - - function lstatcb_ (er, lstat) { - if (er) - return cb() - - var isSym = lstat.isSymbolicLink() - self.symlinks[abs] = isSym - - // If it's not a symlink or a dir, then it's definitely a regular file. - // don't bother doing a readdir in that case. - if (!isSym && !lstat.isDirectory()) { - self.cache[abs] = 'FILE' - cb() - } else - self._readdir(abs, false, cb) - } -} - -Glob.prototype._readdir = function (abs, inGlobStar, cb) { - if (this.aborted) - return - - cb = inflight('readdir\0'+abs+'\0'+inGlobStar, cb) - if (!cb) - return - - //console.error('RD %j %j', +inGlobStar, abs) - if (inGlobStar && !ownProp(this.symlinks, abs)) - return this._readdirInGlobStar(abs, cb) - - if (ownProp(this.cache, abs)) { - var c = this.cache[abs] - if (!c || c === 'FILE') - return cb() - - if (Array.isArray(c)) - return cb(null, c) - } - - var self = this - fs.readdir(abs, readdirCb(this, abs, cb)) -} - -function readdirCb (self, abs, cb) { - return function (er, entries) { - if (er) - self._readdirError(abs, er, cb) - else - self._readdirEntries(abs, entries, cb) - } -} - -Glob.prototype._readdirEntries = function (abs, entries, cb) { - if (this.aborted) - return - - // if we haven't asked to stat everything, then just - // assume that everything in there exists, so we can avoid - // having to stat it a second time. - if (!this.mark && !this.stat) { - for (var i = 0; i < entries.length; i ++) { - var e = entries[i] - if (abs === '/') - e = abs + e - else - e = abs + '/' + e - this.cache[e] = true - } - } - - this.cache[abs] = entries - return cb(null, entries) -} - -Glob.prototype._readdirError = function (f, er, cb) { - if (this.aborted) - return - - // handle errors, and cache the information - switch (er.code) { - case 'ENOTSUP': // https://github.com/isaacs/node-glob/issues/205 - case 'ENOTDIR': // totally normal. means it *does* exist. - this.cache[this._makeAbs(f)] = 'FILE' - break - - case 'ENOENT': // not terribly unusual - case 'ELOOP': - case 'ENAMETOOLONG': - case 'UNKNOWN': - this.cache[this._makeAbs(f)] = false - break - - default: // some unusual error. Treat as failure. - this.cache[this._makeAbs(f)] = false - if (this.strict) { - this.emit('error', er) - // If the error is handled, then we abort - // if not, we threw out of here - this.abort() - } - if (!this.silent) - console.error('glob error', er) - break - } - - return cb() -} - -Glob.prototype._processGlobStar = function (prefix, read, abs, remain, index, inGlobStar, cb) { - var self = this - this._readdir(abs, inGlobStar, function (er, entries) { - self._processGlobStar2(prefix, read, abs, remain, index, inGlobStar, entries, cb) - }) -} - - -Glob.prototype._processGlobStar2 = function (prefix, read, abs, remain, index, inGlobStar, entries, cb) { - //console.error('pgs2', prefix, remain[0], entries) - - // no entries means not a dir, so it can never have matches - // foo.txt/** doesn't match foo.txt - if (!entries) - return cb() - - // test without the globstar, and with every child both below - // and replacing the globstar. - var remainWithoutGlobStar = remain.slice(1) - var gspref = prefix ? [ prefix ] : [] - var noGlobStar = gspref.concat(remainWithoutGlobStar) - - // the noGlobStar pattern exits the inGlobStar state - this._process(noGlobStar, index, false, cb) - - var isSym = this.symlinks[abs] - var len = entries.length - - // If it's a symlink, and we're in a globstar, then stop - if (isSym && inGlobStar) - return cb() - - for (var i = 0; i < len; i++) { - var e = entries[i] - if (e.charAt(0) === '.' && !this.dot) - continue - - // these two cases enter the inGlobStar state - var instead = gspref.concat(entries[i], remainWithoutGlobStar) - this._process(instead, index, true, cb) - - var below = gspref.concat(entries[i], remain) - this._process(below, index, true, cb) - } - - cb() -} - -Glob.prototype._processSimple = function (prefix, index, cb) { - // XXX review this. Shouldn't it be doing the mounting etc - // before doing stat? kinda weird? - var self = this - this._stat(prefix, function (er, exists) { - self._processSimple2(prefix, index, er, exists, cb) - }) -} -Glob.prototype._processSimple2 = function (prefix, index, er, exists, cb) { - - //console.error('ps2', prefix, exists) - - if (!this.matches[index]) - this.matches[index] = Object.create(null) - - // If it doesn't exist, then just mark the lack of results - if (!exists) - return cb() - - if (prefix && isAbsolute(prefix) && !this.nomount) { - var trail = /[\/\\]$/.test(prefix) - if (prefix.charAt(0) === '/') { - prefix = path.join(this.root, prefix) - } else { - prefix = path.resolve(this.root, prefix) - if (trail) - prefix += '/' - } - } - - if (process.platform === 'win32') - prefix = prefix.replace(/\\/g, '/') - - // Mark this as a match - this._emitMatch(index, prefix) - cb() -} - -// Returns either 'DIR', 'FILE', or false -Glob.prototype._stat = function (f, cb) { - var abs = this._makeAbs(f) - var needDir = f.slice(-1) === '/' - - if (f.length > this.maxLength) - return cb() - - if (!this.stat && ownProp(this.cache, abs)) { - var c = this.cache[abs] - - if (Array.isArray(c)) - c = 'DIR' - - // It exists, but maybe not how we need it - if (!needDir || c === 'DIR') - return cb(null, c) - - if (needDir && c === 'FILE') - return cb() - - // otherwise we have to stat, because maybe c=true - // if we know it exists, but not what it is. - } - - var exists - var stat = this.statCache[abs] - if (stat !== undefined) { - if (stat === false) - return cb(null, stat) - else { - var type = stat.isDirectory() ? 'DIR' : 'FILE' - if (needDir && type === 'FILE') - return cb() - else - return cb(null, type, stat) - } - } - - var self = this - var statcb = inflight('stat\0' + abs, lstatcb_) - if (statcb) - fs.lstat(abs, statcb) - - function lstatcb_ (er, lstat) { - if (lstat && lstat.isSymbolicLink()) { - // If it's a symlink, then treat it as the target, unless - // the target does not exist, then treat it as a file. - return fs.stat(abs, function (er, stat) { - if (er) - self._stat2(f, abs, null, lstat, cb) - else - self._stat2(f, abs, er, stat, cb) - }) - } else { - self._stat2(f, abs, er, lstat, cb) - } - } -} - -Glob.prototype._stat2 = function (f, abs, er, stat, cb) { - if (er) { - this.statCache[abs] = false - return cb() - } - - var needDir = f.slice(-1) === '/' - this.statCache[abs] = stat - - if (abs.slice(-1) === '/' && !stat.isDirectory()) - return cb(null, false, stat) - - var c = stat.isDirectory() ? 'DIR' : 'FILE' - this.cache[abs] = this.cache[abs] || c - - if (needDir && c !== 'DIR') - return cb() - - return cb(null, c, stat) -} - -}).call(this,require('_process')) -},{"./common.js":15,"./sync.js":17,"_process":24,"assert":9,"events":14,"fs":12,"inflight":18,"inherits":19,"minimatch":20,"once":21,"path":22,"path-is-absolute":23,"util":28}],17:[function(require,module,exports){ -(function (process){ -module.exports = globSync -globSync.GlobSync = GlobSync - -var fs = require('fs') -var minimatch = require('minimatch') -var Minimatch = minimatch.Minimatch -var Glob = require('./glob.js').Glob -var util = require('util') -var path = require('path') -var assert = require('assert') -var isAbsolute = require('path-is-absolute') -var common = require('./common.js') -var alphasort = common.alphasort -var alphasorti = common.alphasorti -var setopts = common.setopts -var ownProp = common.ownProp -var childrenIgnored = common.childrenIgnored - -function globSync (pattern, options) { - if (typeof options === 'function' || arguments.length === 3) - throw new TypeError('callback provided to sync glob\n'+ - 'See: https://github.com/isaacs/node-glob/issues/167') - - return new GlobSync(pattern, options).found -} - -function GlobSync (pattern, options) { - if (!pattern) - throw new Error('must provide pattern') - - if (typeof options === 'function' || arguments.length === 3) - throw new TypeError('callback provided to sync glob\n'+ - 'See: https://github.com/isaacs/node-glob/issues/167') - - if (!(this instanceof GlobSync)) - return new GlobSync(pattern, options) - - setopts(this, pattern, options) - - if (this.noprocess) - return this - - var n = this.minimatch.set.length - this.matches = new Array(n) - for (var i = 0; i < n; i ++) { - this._process(this.minimatch.set[i], i, false) - } - this._finish() -} - -GlobSync.prototype._finish = function () { - assert(this instanceof GlobSync) - if (this.realpath) { - var self = this - this.matches.forEach(function (matchset, index) { - var set = self.matches[index] = Object.create(null) - for (var p in matchset) { - try { - p = self._makeAbs(p) - var real = fs.realpathSync(p, self.realpathCache) - set[real] = true - } catch (er) { - if (er.syscall === 'stat') - set[self._makeAbs(p)] = true - else - throw er - } - } - }) - } - common.finish(this) -} - - -GlobSync.prototype._process = function (pattern, index, inGlobStar) { - assert(this instanceof GlobSync) - - // Get the first [n] parts of pattern that are all strings. - var n = 0 - while (typeof pattern[n] === 'string') { - n ++ - } - // now n is the index of the first one that is *not* a string. - - // See if there's anything else - var prefix - switch (n) { - // if not, then this is rather simple - case pattern.length: - this._processSimple(pattern.join('/'), index) - return - - case 0: - // pattern *starts* with some non-trivial item. - // going to readdir(cwd), but not include the prefix in matches. - prefix = null - break - - default: - // pattern has some string bits in the front. - // whatever it starts with, whether that's 'absolute' like /foo/bar, - // or 'relative' like '../baz' - prefix = pattern.slice(0, n).join('/') - break - } - - var remain = pattern.slice(n) - - // get the list of entries. - var read - if (prefix === null) - read = '.' - else if (isAbsolute(prefix) || isAbsolute(pattern.join('/'))) { - if (!prefix || !isAbsolute(prefix)) - prefix = '/' + prefix - read = prefix - } else - read = prefix - - var abs = this._makeAbs(read) - - //if ignored, skip processing - if (childrenIgnored(this, read)) - return - - var isGlobStar = remain[0] === minimatch.GLOBSTAR - if (isGlobStar) - this._processGlobStar(prefix, read, abs, remain, index, inGlobStar) - else - this._processReaddir(prefix, read, abs, remain, index, inGlobStar) -} - - -GlobSync.prototype._processReaddir = function (prefix, read, abs, remain, index, inGlobStar) { - var entries = this._readdir(abs, inGlobStar) - - // if the abs isn't a dir, then nothing can match! - if (!entries) - return - - // It will only match dot entries if it starts with a dot, or if - // dot is set. Stuff like @(.foo|.bar) isn't allowed. - var pn = remain[0] - var negate = !!this.minimatch.negate - var rawGlob = pn._glob - var dotOk = this.dot || rawGlob.charAt(0) === '.' - - var matchedEntries = [] - for (var i = 0; i < entries.length; i++) { - var e = entries[i] - if (e.charAt(0) !== '.' || dotOk) { - var m - if (negate && !prefix) { - m = !e.match(pn) - } else { - m = e.match(pn) - } - if (m) - matchedEntries.push(e) - } - } - - var len = matchedEntries.length - // If there are no matched entries, then nothing matches. - if (len === 0) - return - - // if this is the last remaining pattern bit, then no need for - // an additional stat *unless* the user has specified mark or - // stat explicitly. We know they exist, since readdir returned - // them. - - if (remain.length === 1 && !this.mark && !this.stat) { - if (!this.matches[index]) - this.matches[index] = Object.create(null) - - for (var i = 0; i < len; i ++) { - var e = matchedEntries[i] - if (prefix) { - if (prefix.slice(-1) !== '/') - e = prefix + '/' + e - else - e = prefix + e - } - - if (e.charAt(0) === '/' && !this.nomount) { - e = path.join(this.root, e) - } - this.matches[index][e] = true - } - // This was the last one, and no stats were needed - return - } - - // now test all matched entries as stand-ins for that part - // of the pattern. - remain.shift() - for (var i = 0; i < len; i ++) { - var e = matchedEntries[i] - var newPattern - if (prefix) - newPattern = [prefix, e] - else - newPattern = [e] - this._process(newPattern.concat(remain), index, inGlobStar) - } -} - - -GlobSync.prototype._emitMatch = function (index, e) { - var abs = this._makeAbs(e) - if (this.mark) - e = this._mark(e) - - if (this.matches[index][e]) - return - - if (this.nodir) { - var c = this.cache[this._makeAbs(e)] - if (c === 'DIR' || Array.isArray(c)) - return - } - - this.matches[index][e] = true - if (this.stat) - this._stat(e) -} - - -GlobSync.prototype._readdirInGlobStar = function (abs) { - // follow all symlinked directories forever - // just proceed as if this is a non-globstar situation - if (this.follow) - return this._readdir(abs, false) - - var entries - var lstat - var stat - try { - lstat = fs.lstatSync(abs) - } catch (er) { - // lstat failed, doesn't exist - return null - } - - var isSym = lstat.isSymbolicLink() - this.symlinks[abs] = isSym - - // If it's not a symlink or a dir, then it's definitely a regular file. - // don't bother doing a readdir in that case. - if (!isSym && !lstat.isDirectory()) - this.cache[abs] = 'FILE' - else - entries = this._readdir(abs, false) - - return entries -} - -GlobSync.prototype._readdir = function (abs, inGlobStar) { - var entries - - if (inGlobStar && !ownProp(this.symlinks, abs)) - return this._readdirInGlobStar(abs) - - if (ownProp(this.cache, abs)) { - var c = this.cache[abs] - if (!c || c === 'FILE') - return null - - if (Array.isArray(c)) - return c - } - - try { - return this._readdirEntries(abs, fs.readdirSync(abs)) - } catch (er) { - this._readdirError(abs, er) - return null - } -} - -GlobSync.prototype._readdirEntries = function (abs, entries) { - // if we haven't asked to stat everything, then just - // assume that everything in there exists, so we can avoid - // having to stat it a second time. - if (!this.mark && !this.stat) { - for (var i = 0; i < entries.length; i ++) { - var e = entries[i] - if (abs === '/') - e = abs + e - else - e = abs + '/' + e - this.cache[e] = true - } - } - - this.cache[abs] = entries - - // mark and cache dir-ness - return entries -} - -GlobSync.prototype._readdirError = function (f, er) { - // handle errors, and cache the information - switch (er.code) { - case 'ENOTSUP': // https://github.com/isaacs/node-glob/issues/205 - case 'ENOTDIR': // totally normal. means it *does* exist. - this.cache[this._makeAbs(f)] = 'FILE' - break - - case 'ENOENT': // not terribly unusual - case 'ELOOP': - case 'ENAMETOOLONG': - case 'UNKNOWN': - this.cache[this._makeAbs(f)] = false - break - - default: // some unusual error. Treat as failure. - this.cache[this._makeAbs(f)] = false - if (this.strict) - throw er - if (!this.silent) - console.error('glob error', er) - break - } -} - -GlobSync.prototype._processGlobStar = function (prefix, read, abs, remain, index, inGlobStar) { - - var entries = this._readdir(abs, inGlobStar) - - // no entries means not a dir, so it can never have matches - // foo.txt/** doesn't match foo.txt - if (!entries) - return - - // test without the globstar, and with every child both below - // and replacing the globstar. - var remainWithoutGlobStar = remain.slice(1) - var gspref = prefix ? [ prefix ] : [] - var noGlobStar = gspref.concat(remainWithoutGlobStar) - - // the noGlobStar pattern exits the inGlobStar state - this._process(noGlobStar, index, false) - - var len = entries.length - var isSym = this.symlinks[abs] - - // If it's a symlink, and we're in a globstar, then stop - if (isSym && inGlobStar) - return - - for (var i = 0; i < len; i++) { - var e = entries[i] - if (e.charAt(0) === '.' && !this.dot) - continue - - // these two cases enter the inGlobStar state - var instead = gspref.concat(entries[i], remainWithoutGlobStar) - this._process(instead, index, true) - - var below = gspref.concat(entries[i], remain) - this._process(below, index, true) - } -} - -GlobSync.prototype._processSimple = function (prefix, index) { - // XXX review this. Shouldn't it be doing the mounting etc - // before doing stat? kinda weird? - var exists = this._stat(prefix) - - if (!this.matches[index]) - this.matches[index] = Object.create(null) - - // If it doesn't exist, then just mark the lack of results - if (!exists) - return - - if (prefix && isAbsolute(prefix) && !this.nomount) { - var trail = /[\/\\]$/.test(prefix) - if (prefix.charAt(0) === '/') { - prefix = path.join(this.root, prefix) - } else { - prefix = path.resolve(this.root, prefix) - if (trail) - prefix += '/' - } - } - - if (process.platform === 'win32') - prefix = prefix.replace(/\\/g, '/') - - // Mark this as a match - this.matches[index][prefix] = true -} - -// Returns either 'DIR', 'FILE', or false -GlobSync.prototype._stat = function (f) { - var abs = this._makeAbs(f) - var needDir = f.slice(-1) === '/' - - if (f.length > this.maxLength) - return false - - if (!this.stat && ownProp(this.cache, abs)) { - var c = this.cache[abs] - - if (Array.isArray(c)) - c = 'DIR' - - // It exists, but maybe not how we need it - if (!needDir || c === 'DIR') - return c - - if (needDir && c === 'FILE') - return false - - // otherwise we have to stat, because maybe c=true - // if we know it exists, but not what it is. - } - - var exists - var stat = this.statCache[abs] - if (!stat) { - var lstat - try { - lstat = fs.lstatSync(abs) - } catch (er) { - return false - } - - if (lstat.isSymbolicLink()) { - try { - stat = fs.statSync(abs) - } catch (er) { - stat = lstat - } - } else { - stat = lstat - } - } - - this.statCache[abs] = stat - - var c = stat.isDirectory() ? 'DIR' : 'FILE' - this.cache[abs] = this.cache[abs] || c - - if (needDir && c !== 'DIR') - return false - - return c -} - -GlobSync.prototype._mark = function (p) { - return common.mark(this, p) -} - -GlobSync.prototype._makeAbs = function (f) { - return common.makeAbs(this, f) -} - -}).call(this,require('_process')) -},{"./common.js":15,"./glob.js":16,"_process":24,"assert":9,"fs":12,"minimatch":20,"path":22,"path-is-absolute":23,"util":28}],18:[function(require,module,exports){ -(function (process){ -var wrappy = require('wrappy') -var reqs = Object.create(null) -var once = require('once') - -module.exports = wrappy(inflight) - -function inflight (key, cb) { - if (reqs[key]) { - reqs[key].push(cb) - return null - } else { - reqs[key] = [cb] - return makeres(key) - } -} - -function makeres (key) { - return once(function RES () { - var cbs = reqs[key] - var len = cbs.length - var args = slice(arguments) - - // XXX It's somewhat ambiguous whether a new callback added in this - // pass should be queued for later execution if something in the - // list of callbacks throws, or if it should just be discarded. - // However, it's such an edge case that it hardly matters, and either - // choice is likely as surprising as the other. - // As it happens, we do go ahead and schedule it for later execution. - try { - for (var i = 0; i < len; i++) { - cbs[i].apply(null, args) - } - } finally { - if (cbs.length > len) { - // added more in the interim. - // de-zalgo, just in case, but don't call again. - cbs.splice(0, len) - process.nextTick(function () { - RES.apply(null, args) - }) - } else { - delete reqs[key] - } - } - }) -} - -function slice (args) { - var length = args.length - var array = [] - - for (var i = 0; i < length; i++) array[i] = args[i] - return array -} - -}).call(this,require('_process')) -},{"_process":24,"once":21,"wrappy":29}],19:[function(require,module,exports){ -if (typeof Object.create === 'function') { - // implementation from standard node.js 'util' module - module.exports = function inherits(ctor, superCtor) { - ctor.super_ = superCtor - ctor.prototype = Object.create(superCtor.prototype, { - constructor: { - value: ctor, - enumerable: false, - writable: true, - configurable: true - } - }); - }; -} else { - // old school shim for old browsers - module.exports = function inherits(ctor, superCtor) { - ctor.super_ = superCtor - var TempCtor = function () {} - TempCtor.prototype = superCtor.prototype - ctor.prototype = new TempCtor() - ctor.prototype.constructor = ctor - } -} - -},{}],20:[function(require,module,exports){ -module.exports = minimatch -minimatch.Minimatch = Minimatch - -var path = { sep: '/' } -try { - path = require('path') -} catch (er) {} - -var GLOBSTAR = minimatch.GLOBSTAR = Minimatch.GLOBSTAR = {} -var expand = require('brace-expansion') - -var plTypes = { - '!': { open: '(?:(?!(?:', close: '))[^/]*?)'}, - '?': { open: '(?:', close: ')?' }, - '+': { open: '(?:', close: ')+' }, - '*': { open: '(?:', close: ')*' }, - '@': { open: '(?:', close: ')' } -} - -// any single thing other than / -// don't need to escape / when using new RegExp() -var qmark = '[^/]' - -// * => any number of characters -var star = qmark + '*?' - -// ** when dots are allowed. Anything goes, except .. and . -// not (^ or / followed by one or two dots followed by $ or /), -// followed by anything, any number of times. -var twoStarDot = '(?:(?!(?:\\\/|^)(?:\\.{1,2})($|\\\/)).)*?' - -// not a ^ or / followed by a dot, -// followed by anything, any number of times. -var twoStarNoDot = '(?:(?!(?:\\\/|^)\\.).)*?' - -// characters that need to be escaped in RegExp. -var reSpecials = charSet('().*{}+?[]^$\\!') - -// "abc" -> { a:true, b:true, c:true } -function charSet (s) { - return s.split('').reduce(function (set, c) { - set[c] = true - return set - }, {}) -} - -// normalizes slashes. -var slashSplit = /\/+/ - -minimatch.filter = filter -function filter (pattern, options) { - options = options || {} - return function (p, i, list) { - return minimatch(p, pattern, options) - } -} - -function ext (a, b) { - a = a || {} - b = b || {} - var t = {} - Object.keys(b).forEach(function (k) { - t[k] = b[k] - }) - Object.keys(a).forEach(function (k) { - t[k] = a[k] - }) - return t -} - -minimatch.defaults = function (def) { - if (!def || !Object.keys(def).length) return minimatch - - var orig = minimatch - - var m = function minimatch (p, pattern, options) { - return orig.minimatch(p, pattern, ext(def, options)) - } - - m.Minimatch = function Minimatch (pattern, options) { - return new orig.Minimatch(pattern, ext(def, options)) - } - - return m -} - -Minimatch.defaults = function (def) { - if (!def || !Object.keys(def).length) return Minimatch - return minimatch.defaults(def).Minimatch -} - -function minimatch (p, pattern, options) { - if (typeof pattern !== 'string') { - throw new TypeError('glob pattern string required') - } - - if (!options) options = {} - - // shortcut: comments match nothing. - if (!options.nocomment && pattern.charAt(0) === '#') { - return false - } - - // "" only matches "" - if (pattern.trim() === '') return p === '' - - return new Minimatch(pattern, options).match(p) -} - -function Minimatch (pattern, options) { - if (!(this instanceof Minimatch)) { - return new Minimatch(pattern, options) - } - - if (typeof pattern !== 'string') { - throw new TypeError('glob pattern string required') - } - - if (!options) options = {} - pattern = pattern.trim() - - // windows support: need to use /, not \ - if (path.sep !== '/') { - pattern = pattern.split(path.sep).join('/') - } - - this.options = options - this.set = [] - this.pattern = pattern - this.regexp = null - this.negate = false - this.comment = false - this.empty = false - - // make the set of regexps etc. - this.make() -} - -Minimatch.prototype.debug = function () {} - -Minimatch.prototype.make = make -function make () { - // don't do it more than once. - if (this._made) return - - var pattern = this.pattern - var options = this.options - - // empty patterns and comments match nothing. - if (!options.nocomment && pattern.charAt(0) === '#') { - this.comment = true - return - } - if (!pattern) { - this.empty = true - return - } - - // step 1: figure out negation, etc. - this.parseNegate() - - // step 2: expand braces - var set = this.globSet = this.braceExpand() - - if (options.debug) this.debug = console.error - - this.debug(this.pattern, set) - - // step 3: now we have a set, so turn each one into a series of path-portion - // matching patterns. - // These will be regexps, except in the case of "**", which is - // set to the GLOBSTAR object for globstar behavior, - // and will not contain any / characters - set = this.globParts = set.map(function (s) { - return s.split(slashSplit) - }) - - this.debug(this.pattern, set) - - // glob --> regexps - set = set.map(function (s, si, set) { - return s.map(this.parse, this) - }, this) - - this.debug(this.pattern, set) - - // filter out everything that didn't compile properly. - set = set.filter(function (s) { - return s.indexOf(false) === -1 - }) - - this.debug(this.pattern, set) - - this.set = set -} - -Minimatch.prototype.parseNegate = parseNegate -function parseNegate () { - var pattern = this.pattern - var negate = false - var options = this.options - var negateOffset = 0 - - if (options.nonegate) return - - for (var i = 0, l = pattern.length - ; i < l && pattern.charAt(i) === '!' - ; i++) { - negate = !negate - negateOffset++ - } - - if (negateOffset) this.pattern = pattern.substr(negateOffset) - this.negate = negate -} - -// Brace expansion: -// a{b,c}d -> abd acd -// a{b,}c -> abc ac -// a{0..3}d -> a0d a1d a2d a3d -// a{b,c{d,e}f}g -> abg acdfg acefg -// a{b,c}d{e,f}g -> abdeg acdeg abdeg abdfg -// -// Invalid sets are not expanded. -// a{2..}b -> a{2..}b -// a{b}c -> a{b}c -minimatch.braceExpand = function (pattern, options) { - return braceExpand(pattern, options) -} - -Minimatch.prototype.braceExpand = braceExpand - -function braceExpand (pattern, options) { - if (!options) { - if (this instanceof Minimatch) { - options = this.options - } else { - options = {} - } - } - - pattern = typeof pattern === 'undefined' - ? this.pattern : pattern - - if (typeof pattern === 'undefined') { - throw new TypeError('undefined pattern') - } - - if (options.nobrace || - !pattern.match(/\{.*\}/)) { - // shortcut. no need to expand. - return [pattern] - } - - return expand(pattern) -} - -// parse a component of the expanded set. -// At this point, no pattern may contain "/" in it -// so we're going to return a 2d array, where each entry is the full -// pattern, split on '/', and then turned into a regular expression. -// A regexp is made at the end which joins each array with an -// escaped /, and another full one which joins each regexp with |. -// -// Following the lead of Bash 4.1, note that "**" only has special meaning -// when it is the *only* thing in a path portion. Otherwise, any series -// of * is equivalent to a single *. Globstar behavior is enabled by -// default, and can be disabled by setting options.noglobstar. -Minimatch.prototype.parse = parse -var SUBPARSE = {} -function parse (pattern, isSub) { - if (pattern.length > 1024 * 64) { - throw new TypeError('pattern is too long') - } - - var options = this.options - - // shortcuts - if (!options.noglobstar && pattern === '**') return GLOBSTAR - if (pattern === '') return '' - - var re = '' - var hasMagic = !!options.nocase - var escaping = false - // ? => one single character - var patternListStack = [] - var negativeLists = [] - var stateChar - var inClass = false - var reClassStart = -1 - var classStart = -1 - // . and .. never match anything that doesn't start with ., - // even when options.dot is set. - var patternStart = pattern.charAt(0) === '.' ? '' // anything - // not (start or / followed by . or .. followed by / or end) - : options.dot ? '(?!(?:^|\\\/)\\.{1,2}(?:$|\\\/))' - : '(?!\\.)' - var self = this - - function clearStateChar () { - if (stateChar) { - // we had some state-tracking character - // that wasn't consumed by this pass. - switch (stateChar) { - case '*': - re += star - hasMagic = true - break - case '?': - re += qmark - hasMagic = true - break - default: - re += '\\' + stateChar - break - } - self.debug('clearStateChar %j %j', stateChar, re) - stateChar = false - } - } - - for (var i = 0, len = pattern.length, c - ; (i < len) && (c = pattern.charAt(i)) - ; i++) { - this.debug('%s\t%s %s %j', pattern, i, re, c) - - // skip over any that are escaped. - if (escaping && reSpecials[c]) { - re += '\\' + c - escaping = false - continue - } - - switch (c) { - case '/': - // completely not allowed, even escaped. - // Should already be path-split by now. - return false - - case '\\': - clearStateChar() - escaping = true - continue - - // the various stateChar values - // for the "extglob" stuff. - case '?': - case '*': - case '+': - case '@': - case '!': - this.debug('%s\t%s %s %j <-- stateChar', pattern, i, re, c) - - // all of those are literals inside a class, except that - // the glob [!a] means [^a] in regexp - if (inClass) { - this.debug(' in class') - if (c === '!' && i === classStart + 1) c = '^' - re += c - continue - } - - // if we already have a stateChar, then it means - // that there was something like ** or +? in there. - // Handle the stateChar, then proceed with this one. - self.debug('call clearStateChar %j', stateChar) - clearStateChar() - stateChar = c - // if extglob is disabled, then +(asdf|foo) isn't a thing. - // just clear the statechar *now*, rather than even diving into - // the patternList stuff. - if (options.noext) clearStateChar() - continue - - case '(': - if (inClass) { - re += '(' - continue - } - - if (!stateChar) { - re += '\\(' - continue - } - - patternListStack.push({ - type: stateChar, - start: i - 1, - reStart: re.length, - open: plTypes[stateChar].open, - close: plTypes[stateChar].close - }) - // negation is (?:(?!js)[^/]*) - re += stateChar === '!' ? '(?:(?!(?:' : '(?:' - this.debug('plType %j %j', stateChar, re) - stateChar = false - continue - - case ')': - if (inClass || !patternListStack.length) { - re += '\\)' - continue - } - - clearStateChar() - hasMagic = true - var pl = patternListStack.pop() - // negation is (?:(?!js)[^/]*) - // The others are (?:) - re += pl.close - if (pl.type === '!') { - negativeLists.push(pl) - } - pl.reEnd = re.length - continue - - case '|': - if (inClass || !patternListStack.length || escaping) { - re += '\\|' - escaping = false - continue - } - - clearStateChar() - re += '|' - continue - - // these are mostly the same in regexp and glob - case '[': - // swallow any state-tracking char before the [ - clearStateChar() - - if (inClass) { - re += '\\' + c - continue - } - - inClass = true - classStart = i - reClassStart = re.length - re += c - continue - - case ']': - // a right bracket shall lose its special - // meaning and represent itself in - // a bracket expression if it occurs - // first in the list. -- POSIX.2 2.8.3.2 - if (i === classStart + 1 || !inClass) { - re += '\\' + c - escaping = false - continue - } - - // handle the case where we left a class open. - // "[z-a]" is valid, equivalent to "\[z-a\]" - if (inClass) { - // split where the last [ was, make sure we don't have - // an invalid re. if so, re-walk the contents of the - // would-be class to re-translate any characters that - // were passed through as-is - // TODO: It would probably be faster to determine this - // without a try/catch and a new RegExp, but it's tricky - // to do safely. For now, this is safe and works. - var cs = pattern.substring(classStart + 1, i) - try { - RegExp('[' + cs + ']') - } catch (er) { - // not a valid class! - var sp = this.parse(cs, SUBPARSE) - re = re.substr(0, reClassStart) + '\\[' + sp[0] + '\\]' - hasMagic = hasMagic || sp[1] - inClass = false - continue - } - } - - // finish up the class. - hasMagic = true - inClass = false - re += c - continue - - default: - // swallow any state char that wasn't consumed - clearStateChar() - - if (escaping) { - // no need - escaping = false - } else if (reSpecials[c] - && !(c === '^' && inClass)) { - re += '\\' - } - - re += c - - } // switch - } // for - - // handle the case where we left a class open. - // "[abc" is valid, equivalent to "\[abc" - if (inClass) { - // split where the last [ was, and escape it - // this is a huge pita. We now have to re-walk - // the contents of the would-be class to re-translate - // any characters that were passed through as-is - cs = pattern.substr(classStart + 1) - sp = this.parse(cs, SUBPARSE) - re = re.substr(0, reClassStart) + '\\[' + sp[0] - hasMagic = hasMagic || sp[1] - } - - // handle the case where we had a +( thing at the *end* - // of the pattern. - // each pattern list stack adds 3 chars, and we need to go through - // and escape any | chars that were passed through as-is for the regexp. - // Go through and escape them, taking care not to double-escape any - // | chars that were already escaped. - for (pl = patternListStack.pop(); pl; pl = patternListStack.pop()) { - var tail = re.slice(pl.reStart + pl.open.length) - this.debug('setting tail', re, pl) - // maybe some even number of \, then maybe 1 \, followed by a | - tail = tail.replace(/((?:\\{2}){0,64})(\\?)\|/g, function (_, $1, $2) { - if (!$2) { - // the | isn't already escaped, so escape it. - $2 = '\\' - } - - // need to escape all those slashes *again*, without escaping the - // one that we need for escaping the | character. As it works out, - // escaping an even number of slashes can be done by simply repeating - // it exactly after itself. That's why this trick works. - // - // I am sorry that you have to see this. - return $1 + $1 + $2 + '|' - }) - - this.debug('tail=%j\n %s', tail, tail, pl, re) - var t = pl.type === '*' ? star - : pl.type === '?' ? qmark - : '\\' + pl.type - - hasMagic = true - re = re.slice(0, pl.reStart) + t + '\\(' + tail - } - - // handle trailing things that only matter at the very end. - clearStateChar() - if (escaping) { - // trailing \\ - re += '\\\\' - } - - // only need to apply the nodot start if the re starts with - // something that could conceivably capture a dot - var addPatternStart = false - switch (re.charAt(0)) { - case '.': - case '[': - case '(': addPatternStart = true - } - - // Hack to work around lack of negative lookbehind in JS - // A pattern like: *.!(x).!(y|z) needs to ensure that a name - // like 'a.xyz.yz' doesn't match. So, the first negative - // lookahead, has to look ALL the way ahead, to the end of - // the pattern. - for (var n = negativeLists.length - 1; n > -1; n--) { - var nl = negativeLists[n] - - var nlBefore = re.slice(0, nl.reStart) - var nlFirst = re.slice(nl.reStart, nl.reEnd - 8) - var nlLast = re.slice(nl.reEnd - 8, nl.reEnd) - var nlAfter = re.slice(nl.reEnd) - - nlLast += nlAfter - - // Handle nested stuff like *(*.js|!(*.json)), where open parens - // mean that we should *not* include the ) in the bit that is considered - // "after" the negated section. - var openParensBefore = nlBefore.split('(').length - 1 - var cleanAfter = nlAfter - for (i = 0; i < openParensBefore; i++) { - cleanAfter = cleanAfter.replace(/\)[+*?]?/, '') - } - nlAfter = cleanAfter - - var dollar = '' - if (nlAfter === '' && isSub !== SUBPARSE) { - dollar = '$' - } - var newRe = nlBefore + nlFirst + nlAfter + dollar + nlLast - re = newRe - } - - // if the re is not "" at this point, then we need to make sure - // it doesn't match against an empty path part. - // Otherwise a/* will match a/, which it should not. - if (re !== '' && hasMagic) { - re = '(?=.)' + re - } - - if (addPatternStart) { - re = patternStart + re - } - - // parsing just a piece of a larger pattern. - if (isSub === SUBPARSE) { - return [re, hasMagic] - } - - // skip the regexp for non-magical patterns - // unescape anything in it, though, so that it'll be - // an exact match against a file etc. - if (!hasMagic) { - return globUnescape(pattern) - } - - var flags = options.nocase ? 'i' : '' - try { - var regExp = new RegExp('^' + re + '$', flags) - } catch (er) { - // If it was an invalid regular expression, then it can't match - // anything. This trick looks for a character after the end of - // the string, which is of course impossible, except in multi-line - // mode, but it's not a /m regex. - return new RegExp('$.') - } - - regExp._glob = pattern - regExp._src = re - - return regExp -} - -minimatch.makeRe = function (pattern, options) { - return new Minimatch(pattern, options || {}).makeRe() -} - -Minimatch.prototype.makeRe = makeRe -function makeRe () { - if (this.regexp || this.regexp === false) return this.regexp - - // at this point, this.set is a 2d array of partial - // pattern strings, or "**". - // - // It's better to use .match(). This function shouldn't - // be used, really, but it's pretty convenient sometimes, - // when you just want to work with a regex. - var set = this.set - - if (!set.length) { - this.regexp = false - return this.regexp - } - var options = this.options - - var twoStar = options.noglobstar ? star - : options.dot ? twoStarDot - : twoStarNoDot - var flags = options.nocase ? 'i' : '' - - var re = set.map(function (pattern) { - return pattern.map(function (p) { - return (p === GLOBSTAR) ? twoStar - : (typeof p === 'string') ? regExpEscape(p) - : p._src - }).join('\\\/') - }).join('|') - - // must match entire pattern - // ending in a * or ** will make it less strict. - re = '^(?:' + re + ')$' - - // can match anything, as long as it's not this. - if (this.negate) re = '^(?!' + re + ').*$' - - try { - this.regexp = new RegExp(re, flags) - } catch (ex) { - this.regexp = false - } - return this.regexp -} - -minimatch.match = function (list, pattern, options) { - options = options || {} - var mm = new Minimatch(pattern, options) - list = list.filter(function (f) { - return mm.match(f) - }) - if (mm.options.nonull && !list.length) { - list.push(pattern) - } - return list -} - -Minimatch.prototype.match = match -function match (f, partial) { - this.debug('match', f, this.pattern) - // short-circuit in the case of busted things. - // comments, etc. - if (this.comment) return false - if (this.empty) return f === '' - - if (f === '/' && partial) return true - - var options = this.options - - // windows: need to use /, not \ - if (path.sep !== '/') { - f = f.split(path.sep).join('/') - } - - // treat the test path as a set of pathparts. - f = f.split(slashSplit) - this.debug(this.pattern, 'split', f) - - // just ONE of the pattern sets in this.set needs to match - // in order for it to be valid. If negating, then just one - // match means that we have failed. - // Either way, return on the first hit. - - var set = this.set - this.debug(this.pattern, 'set', set) - - // Find the basename of the path by looking for the last non-empty segment - var filename - var i - for (i = f.length - 1; i >= 0; i--) { - filename = f[i] - if (filename) break - } - - for (i = 0; i < set.length; i++) { - var pattern = set[i] - var file = f - if (options.matchBase && pattern.length === 1) { - file = [filename] - } - var hit = this.matchOne(file, pattern, partial) - if (hit) { - if (options.flipNegate) return true - return !this.negate - } - } - - // didn't get any hits. this is success if it's a negative - // pattern, failure otherwise. - if (options.flipNegate) return false - return this.negate -} - -// set partial to true to test if, for example, -// "/a/b" matches the start of "/*/b/*/d" -// Partial means, if you run out of file before you run -// out of pattern, then that's fine, as long as all -// the parts match. -Minimatch.prototype.matchOne = function (file, pattern, partial) { - var options = this.options - - this.debug('matchOne', - { 'this': this, file: file, pattern: pattern }) - - this.debug('matchOne', file.length, pattern.length) - - for (var fi = 0, - pi = 0, - fl = file.length, - pl = pattern.length - ; (fi < fl) && (pi < pl) - ; fi++, pi++) { - this.debug('matchOne loop') - var p = pattern[pi] - var f = file[fi] - - this.debug(pattern, p, f) - - // should be impossible. - // some invalid regexp stuff in the set. - if (p === false) return false - - if (p === GLOBSTAR) { - this.debug('GLOBSTAR', [pattern, p, f]) - - // "**" - // a/**/b/**/c would match the following: - // a/b/x/y/z/c - // a/x/y/z/b/c - // a/b/x/b/x/c - // a/b/c - // To do this, take the rest of the pattern after - // the **, and see if it would match the file remainder. - // If so, return success. - // If not, the ** "swallows" a segment, and try again. - // This is recursively awful. - // - // a/**/b/**/c matching a/b/x/y/z/c - // - a matches a - // - doublestar - // - matchOne(b/x/y/z/c, b/**/c) - // - b matches b - // - doublestar - // - matchOne(x/y/z/c, c) -> no - // - matchOne(y/z/c, c) -> no - // - matchOne(z/c, c) -> no - // - matchOne(c, c) yes, hit - var fr = fi - var pr = pi + 1 - if (pr === pl) { - this.debug('** at the end') - // a ** at the end will just swallow the rest. - // We have found a match. - // however, it will not swallow /.x, unless - // options.dot is set. - // . and .. are *never* matched by **, for explosively - // exponential reasons. - for (; fi < fl; fi++) { - if (file[fi] === '.' || file[fi] === '..' || - (!options.dot && file[fi].charAt(0) === '.')) return false - } - return true - } - - // ok, let's see if we can swallow whatever we can. - while (fr < fl) { - var swallowee = file[fr] - - this.debug('\nglobstar while', file, fr, pattern, pr, swallowee) - - // XXX remove this slice. Just pass the start index. - if (this.matchOne(file.slice(fr), pattern.slice(pr), partial)) { - this.debug('globstar found match!', fr, fl, swallowee) - // found a match. - return true - } else { - // can't swallow "." or ".." ever. - // can only swallow ".foo" when explicitly asked. - if (swallowee === '.' || swallowee === '..' || - (!options.dot && swallowee.charAt(0) === '.')) { - this.debug('dot detected!', file, fr, pattern, pr) - break - } - - // ** swallows a segment, and continue. - this.debug('globstar swallow a segment, and continue') - fr++ - } - } - - // no match was found. - // However, in partial mode, we can't say this is necessarily over. - // If there's more *pattern* left, then - if (partial) { - // ran out of file - this.debug('\n>>> no match, partial?', file, fr, pattern, pr) - if (fr === fl) return true - } - return false - } - - // something other than ** - // non-magic patterns just have to match exactly - // patterns with magic have been turned into regexps. - var hit - if (typeof p === 'string') { - if (options.nocase) { - hit = f.toLowerCase() === p.toLowerCase() - } else { - hit = f === p - } - this.debug('string match', p, f, hit) - } else { - hit = f.match(p) - this.debug('pattern match', p, f, hit) - } - - if (!hit) return false - } - - // Note: ending in / means that we'll get a final "" - // at the end of the pattern. This can only match a - // corresponding "" at the end of the file. - // If the file ends in /, then it can only match a - // a pattern that ends in /, unless the pattern just - // doesn't have any more for it. But, a/b/ should *not* - // match "a/b/*", even though "" matches against the - // [^/]*? pattern, except in partial mode, where it might - // simply not be reached yet. - // However, a/b/ should still satisfy a/* - - // now either we fell off the end of the pattern, or we're done. - if (fi === fl && pi === pl) { - // ran out of pattern and filename at the same time. - // an exact hit! - return true - } else if (fi === fl) { - // ran out of file, but still had pattern left. - // this is ok if we're doing the match as part of - // a glob fs traversal. - return partial - } else if (pi === pl) { - // ran out of pattern, still have file left. - // this is only acceptable if we're on the very last - // empty segment of a file with a trailing slash. - // a/* should match a/b/ - var emptyFileEnd = (fi === fl - 1) && (file[fi] === '') - return emptyFileEnd - } - - // should be unreachable. - throw new Error('wtf?') -} - -// replace stuff like \* with * -function globUnescape (s) { - return s.replace(/\\(.)/g, '$1') -} - -function regExpEscape (s) { - return s.replace(/[-[\]{}()*+?.,\\^$|#\s]/g, '\\$&') -} - -},{"brace-expansion":11,"path":22}],21:[function(require,module,exports){ -var wrappy = require('wrappy') -module.exports = wrappy(once) -module.exports.strict = wrappy(onceStrict) - -once.proto = once(function () { - Object.defineProperty(Function.prototype, 'once', { - value: function () { - return once(this) - }, - configurable: true - }) - - Object.defineProperty(Function.prototype, 'onceStrict', { - value: function () { - return onceStrict(this) - }, - configurable: true - }) -}) - -function once (fn) { - var f = function () { - if (f.called) return f.value - f.called = true - return f.value = fn.apply(this, arguments) - } - f.called = false - return f -} - -function onceStrict (fn) { - var f = function () { - if (f.called) - throw new Error(f.onceError) - f.called = true - return f.value = fn.apply(this, arguments) - } - var name = fn.name || 'Function wrapped with `once`' - f.onceError = name + " shouldn't be called more than once" - f.called = false - return f -} - -},{"wrappy":29}],22:[function(require,module,exports){ -(function (process){ -// Copyright Joyent, Inc. and other Node contributors. -// -// Permission is hereby granted, free of charge, to any person obtaining a -// copy of this software and associated documentation files (the -// "Software"), to deal in the Software without restriction, including -// without limitation the rights to use, copy, modify, merge, publish, -// distribute, sublicense, and/or sell copies of the Software, and to permit -// persons to whom the Software is furnished to do so, subject to the -// following conditions: -// -// The above copyright notice and this permission notice shall be included -// in all copies or substantial portions of the Software. -// -// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS -// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF -// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN -// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, -// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR -// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE -// USE OR OTHER DEALINGS IN THE SOFTWARE. - -// resolves . and .. elements in a path array with directory names there -// must be no slashes, empty elements, or device names (c:\) in the array -// (so also no leading and trailing slashes - it does not distinguish -// relative and absolute paths) -function normalizeArray(parts, allowAboveRoot) { - // if the path tries to go above the root, `up` ends up > 0 - var up = 0; - for (var i = parts.length - 1; i >= 0; i--) { - var last = parts[i]; - if (last === '.') { - parts.splice(i, 1); - } else if (last === '..') { - parts.splice(i, 1); - up++; - } else if (up) { - parts.splice(i, 1); - up--; - } - } - - // if the path is allowed to go above the root, restore leading ..s - if (allowAboveRoot) { - for (; up--; up) { - parts.unshift('..'); - } - } - - return parts; -} - -// Split a filename into [root, dir, basename, ext], unix version -// 'root' is just a slash, or nothing. -var splitPathRe = - /^(\/?|)([\s\S]*?)((?:\.{1,2}|[^\/]+?|)(\.[^.\/]*|))(?:[\/]*)$/; -var splitPath = function(filename) { - return splitPathRe.exec(filename).slice(1); -}; - -// path.resolve([from ...], to) -// posix version -exports.resolve = function() { - var resolvedPath = '', - resolvedAbsolute = false; - - for (var i = arguments.length - 1; i >= -1 && !resolvedAbsolute; i--) { - var path = (i >= 0) ? arguments[i] : process.cwd(); - - // Skip empty and invalid entries - if (typeof path !== 'string') { - throw new TypeError('Arguments to path.resolve must be strings'); - } else if (!path) { - continue; - } - - resolvedPath = path + '/' + resolvedPath; - resolvedAbsolute = path.charAt(0) === '/'; - } - - // At this point the path should be resolved to a full absolute path, but - // handle relative paths to be safe (might happen when process.cwd() fails) - - // Normalize the path - resolvedPath = normalizeArray(filter(resolvedPath.split('/'), function(p) { - return !!p; - }), !resolvedAbsolute).join('/'); - - return ((resolvedAbsolute ? '/' : '') + resolvedPath) || '.'; -}; - -// path.normalize(path) -// posix version -exports.normalize = function(path) { - var isAbsolute = exports.isAbsolute(path), - trailingSlash = substr(path, -1) === '/'; - - // Normalize the path - path = normalizeArray(filter(path.split('/'), function(p) { - return !!p; - }), !isAbsolute).join('/'); - - if (!path && !isAbsolute) { - path = '.'; - } - if (path && trailingSlash) { - path += '/'; - } - - return (isAbsolute ? '/' : '') + path; -}; - -// posix version -exports.isAbsolute = function(path) { - return path.charAt(0) === '/'; -}; - -// posix version -exports.join = function() { - var paths = Array.prototype.slice.call(arguments, 0); - return exports.normalize(filter(paths, function(p, index) { - if (typeof p !== 'string') { - throw new TypeError('Arguments to path.join must be strings'); - } - return p; - }).join('/')); -}; - - -// path.relative(from, to) -// posix version -exports.relative = function(from, to) { - from = exports.resolve(from).substr(1); - to = exports.resolve(to).substr(1); - - function trim(arr) { - var start = 0; - for (; start < arr.length; start++) { - if (arr[start] !== '') break; - } - - var end = arr.length - 1; - for (; end >= 0; end--) { - if (arr[end] !== '') break; - } - - if (start > end) return []; - return arr.slice(start, end - start + 1); - } - - var fromParts = trim(from.split('/')); - var toParts = trim(to.split('/')); - - var length = Math.min(fromParts.length, toParts.length); - var samePartsLength = length; - for (var i = 0; i < length; i++) { - if (fromParts[i] !== toParts[i]) { - samePartsLength = i; - break; - } - } - - var outputParts = []; - for (var i = samePartsLength; i < fromParts.length; i++) { - outputParts.push('..'); - } - - outputParts = outputParts.concat(toParts.slice(samePartsLength)); - - return outputParts.join('/'); -}; - -exports.sep = '/'; -exports.delimiter = ':'; - -exports.dirname = function(path) { - var result = splitPath(path), - root = result[0], - dir = result[1]; - - if (!root && !dir) { - // No dirname whatsoever - return '.'; - } - - if (dir) { - // It has a dirname, strip trailing slash - dir = dir.substr(0, dir.length - 1); - } - - return root + dir; -}; - - -exports.basename = function(path, ext) { - var f = splitPath(path)[2]; - // TODO: make this comparison case-insensitive on windows? - if (ext && f.substr(-1 * ext.length) === ext) { - f = f.substr(0, f.length - ext.length); - } - return f; -}; - - -exports.extname = function(path) { - return splitPath(path)[3]; -}; - -function filter (xs, f) { - if (xs.filter) return xs.filter(f); - var res = []; - for (var i = 0; i < xs.length; i++) { - if (f(xs[i], i, xs)) res.push(xs[i]); - } - return res; -} - -// String.prototype.substr - negative index don't work in IE8 -var substr = 'ab'.substr(-1) === 'b' - ? function (str, start, len) { return str.substr(start, len) } - : function (str, start, len) { - if (start < 0) start = str.length + start; - return str.substr(start, len); - } -; - -}).call(this,require('_process')) -},{"_process":24}],23:[function(require,module,exports){ -(function (process){ -'use strict'; - -function posix(path) { - return path.charAt(0) === '/'; -} - -function win32(path) { - // https://github.com/nodejs/node/blob/b3fcc245fb25539909ef1d5eaa01dbf92e168633/lib/path.js#L56 - var splitDeviceRe = /^([a-zA-Z]:|[\\\/]{2}[^\\\/]+[\\\/]+[^\\\/]+)?([\\\/])?([\s\S]*?)$/; - var result = splitDeviceRe.exec(path); - var device = result[1] || ''; - var isUnc = Boolean(device && device.charAt(1) !== ':'); - - // UNC paths are always absolute - return Boolean(result[2] || isUnc); -} - -module.exports = process.platform === 'win32' ? win32 : posix; -module.exports.posix = posix; -module.exports.win32 = win32; - -}).call(this,require('_process')) -},{"_process":24}],24:[function(require,module,exports){ -// shim for using process in browser -var process = module.exports = {}; - -// cached from whatever global is present so that test runners that stub it -// don't break things. But we need to wrap it in a try catch in case it is -// wrapped in strict mode code which doesn't define any globals. It's inside a -// function because try/catches deoptimize in certain engines. - -var cachedSetTimeout; -var cachedClearTimeout; - -function defaultSetTimout() { - throw new Error('setTimeout has not been defined'); -} -function defaultClearTimeout () { - throw new Error('clearTimeout has not been defined'); -} -(function () { - try { - if (typeof setTimeout === 'function') { - cachedSetTimeout = setTimeout; - } else { - cachedSetTimeout = defaultSetTimout; - } - } catch (e) { - cachedSetTimeout = defaultSetTimout; - } - try { - if (typeof clearTimeout === 'function') { - cachedClearTimeout = clearTimeout; - } else { - cachedClearTimeout = defaultClearTimeout; - } - } catch (e) { - cachedClearTimeout = defaultClearTimeout; - } -} ()) -function runTimeout(fun) { - if (cachedSetTimeout === setTimeout) { - //normal enviroments in sane situations - return setTimeout(fun, 0); - } - // if setTimeout wasn't available but was latter defined - if ((cachedSetTimeout === defaultSetTimout || !cachedSetTimeout) && setTimeout) { - cachedSetTimeout = setTimeout; - return setTimeout(fun, 0); - } - try { - // when when somebody has screwed with setTimeout but no I.E. maddness - return cachedSetTimeout(fun, 0); - } catch(e){ - try { - // When we are in I.E. but the script has been evaled so I.E. doesn't trust the global object when called normally - return cachedSetTimeout.call(null, fun, 0); - } catch(e){ - // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error - return cachedSetTimeout.call(this, fun, 0); - } - } - - -} -function runClearTimeout(marker) { - if (cachedClearTimeout === clearTimeout) { - //normal enviroments in sane situations - return clearTimeout(marker); - } - // if clearTimeout wasn't available but was latter defined - if ((cachedClearTimeout === defaultClearTimeout || !cachedClearTimeout) && clearTimeout) { - cachedClearTimeout = clearTimeout; - return clearTimeout(marker); - } - try { - // when when somebody has screwed with setTimeout but no I.E. maddness - return cachedClearTimeout(marker); - } catch (e){ - try { - // When we are in I.E. but the script has been evaled so I.E. doesn't trust the global object when called normally - return cachedClearTimeout.call(null, marker); - } catch (e){ - // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error. - // Some versions of I.E. have different rules for clearTimeout vs setTimeout - return cachedClearTimeout.call(this, marker); - } - } - - - -} -var queue = []; -var draining = false; -var currentQueue; -var queueIndex = -1; - -function cleanUpNextTick() { - if (!draining || !currentQueue) { - return; - } - draining = false; - if (currentQueue.length) { - queue = currentQueue.concat(queue); - } else { - queueIndex = -1; - } - if (queue.length) { - drainQueue(); - } -} - -function drainQueue() { - if (draining) { - return; - } - var timeout = runTimeout(cleanUpNextTick); - draining = true; - - var len = queue.length; - while(len) { - currentQueue = queue; - queue = []; - while (++queueIndex < len) { - if (currentQueue) { - currentQueue[queueIndex].run(); - } - } - queueIndex = -1; - len = queue.length; - } - currentQueue = null; - draining = false; - runClearTimeout(timeout); -} - -process.nextTick = function (fun) { - var args = new Array(arguments.length - 1); - if (arguments.length > 1) { - for (var i = 1; i < arguments.length; i++) { - args[i - 1] = arguments[i]; - } - } - queue.push(new Item(fun, args)); - if (queue.length === 1 && !draining) { - runTimeout(drainQueue); - } -}; - -// v8 likes predictible objects -function Item(fun, array) { - this.fun = fun; - this.array = array; -} -Item.prototype.run = function () { - this.fun.apply(null, this.array); -}; -process.title = 'browser'; -process.browser = true; -process.env = {}; -process.argv = []; -process.version = ''; // empty string to avoid regexp issues -process.versions = {}; - -function noop() {} - -process.on = noop; -process.addListener = noop; -process.once = noop; -process.off = noop; -process.removeListener = noop; -process.removeAllListeners = noop; -process.emit = noop; -process.prependListener = noop; -process.prependOnceListener = noop; - -process.listeners = function (name) { return [] } - -process.binding = function (name) { - throw new Error('process.binding is not supported'); -}; - -process.cwd = function () { return '/' }; -process.chdir = function (dir) { - throw new Error('process.chdir is not supported'); -}; -process.umask = function() { return 0; }; - -},{}],25:[function(require,module,exports){ -// Underscore.js 1.8.3 -// http://underscorejs.org -// (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors -// Underscore may be freely distributed under the MIT license. - -(function() { - - // Baseline setup - // -------------- - - // Establish the root object, `window` in the browser, or `exports` on the server. - var root = this; - - // Save the previous value of the `_` variable. - var previousUnderscore = root._; - - // Save bytes in the minified (but not gzipped) version: - var ArrayProto = Array.prototype, ObjProto = Object.prototype, FuncProto = Function.prototype; - - // Create quick reference variables for speed access to core prototypes. - var - push = ArrayProto.push, - slice = ArrayProto.slice, - toString = ObjProto.toString, - hasOwnProperty = ObjProto.hasOwnProperty; - - // All **ECMAScript 5** native function implementations that we hope to use - // are declared here. - var - nativeIsArray = Array.isArray, - nativeKeys = Object.keys, - nativeBind = FuncProto.bind, - nativeCreate = Object.create; - - // Naked function reference for surrogate-prototype-swapping. - var Ctor = function(){}; - - // Create a safe reference to the Underscore object for use below. - var _ = function(obj) { - if (obj instanceof _) return obj; - if (!(this instanceof _)) return new _(obj); - this._wrapped = obj; - }; - - // Export the Underscore object for **Node.js**, with - // backwards-compatibility for the old `require()` API. If we're in - // the browser, add `_` as a global object. - if (typeof exports !== 'undefined') { - if (typeof module !== 'undefined' && module.exports) { - exports = module.exports = _; - } - exports._ = _; - } else { - root._ = _; - } - - // Current version. - _.VERSION = '1.8.3'; - - // Internal function that returns an efficient (for current engines) version - // of the passed-in callback, to be repeatedly applied in other Underscore - // functions. - var optimizeCb = function(func, context, argCount) { - if (context === void 0) return func; - switch (argCount == null ? 3 : argCount) { - case 1: return function(value) { - return func.call(context, value); - }; - case 2: return function(value, other) { - return func.call(context, value, other); - }; - case 3: return function(value, index, collection) { - return func.call(context, value, index, collection); - }; - case 4: return function(accumulator, value, index, collection) { - return func.call(context, accumulator, value, index, collection); - }; - } - return function() { - return func.apply(context, arguments); - }; - }; - - // A mostly-internal function to generate callbacks that can be applied - // to each element in a collection, returning the desired result — either - // identity, an arbitrary callback, a property matcher, or a property accessor. - var cb = function(value, context, argCount) { - if (value == null) return _.identity; - if (_.isFunction(value)) return optimizeCb(value, context, argCount); - if (_.isObject(value)) return _.matcher(value); - return _.property(value); - }; - _.iteratee = function(value, context) { - return cb(value, context, Infinity); - }; - - // An internal function for creating assigner functions. - var createAssigner = function(keysFunc, undefinedOnly) { - return function(obj) { - var length = arguments.length; - if (length < 2 || obj == null) return obj; - for (var index = 1; index < length; index++) { - var source = arguments[index], - keys = keysFunc(source), - l = keys.length; - for (var i = 0; i < l; i++) { - var key = keys[i]; - if (!undefinedOnly || obj[key] === void 0) obj[key] = source[key]; - } - } - return obj; - }; - }; - - // An internal function for creating a new object that inherits from another. - var baseCreate = function(prototype) { - if (!_.isObject(prototype)) return {}; - if (nativeCreate) return nativeCreate(prototype); - Ctor.prototype = prototype; - var result = new Ctor; - Ctor.prototype = null; - return result; - }; - - var property = function(key) { - return function(obj) { - return obj == null ? void 0 : obj[key]; - }; - }; - - // Helper for collection methods to determine whether a collection - // should be iterated as an array or as an object - // Related: http://people.mozilla.org/~jorendorff/es6-draft.html#sec-tolength - // Avoids a very nasty iOS 8 JIT bug on ARM-64. #2094 - var MAX_ARRAY_INDEX = Math.pow(2, 53) - 1; - var getLength = property('length'); - var isArrayLike = function(collection) { - var length = getLength(collection); - return typeof length == 'number' && length >= 0 && length <= MAX_ARRAY_INDEX; - }; - - // Collection Functions - // -------------------- - - // The cornerstone, an `each` implementation, aka `forEach`. - // Handles raw objects in addition to array-likes. Treats all - // sparse array-likes as if they were dense. - _.each = _.forEach = function(obj, iteratee, context) { - iteratee = optimizeCb(iteratee, context); - var i, length; - if (isArrayLike(obj)) { - for (i = 0, length = obj.length; i < length; i++) { - iteratee(obj[i], i, obj); - } - } else { - var keys = _.keys(obj); - for (i = 0, length = keys.length; i < length; i++) { - iteratee(obj[keys[i]], keys[i], obj); - } - } - return obj; - }; - - // Return the results of applying the iteratee to each element. - _.map = _.collect = function(obj, iteratee, context) { - iteratee = cb(iteratee, context); - var keys = !isArrayLike(obj) && _.keys(obj), - length = (keys || obj).length, - results = Array(length); - for (var index = 0; index < length; index++) { - var currentKey = keys ? keys[index] : index; - results[index] = iteratee(obj[currentKey], currentKey, obj); - } - return results; - }; - - // Create a reducing function iterating left or right. - function createReduce(dir) { - // Optimized iterator function as using arguments.length - // in the main function will deoptimize the, see #1991. - function iterator(obj, iteratee, memo, keys, index, length) { - for (; index >= 0 && index < length; index += dir) { - var currentKey = keys ? keys[index] : index; - memo = iteratee(memo, obj[currentKey], currentKey, obj); - } - return memo; - } - - return function(obj, iteratee, memo, context) { - iteratee = optimizeCb(iteratee, context, 4); - var keys = !isArrayLike(obj) && _.keys(obj), - length = (keys || obj).length, - index = dir > 0 ? 0 : length - 1; - // Determine the initial value if none is provided. - if (arguments.length < 3) { - memo = obj[keys ? keys[index] : index]; - index += dir; - } - return iterator(obj, iteratee, memo, keys, index, length); - }; - } - - // **Reduce** builds up a single result from a list of values, aka `inject`, - // or `foldl`. - _.reduce = _.foldl = _.inject = createReduce(1); - - // The right-associative version of reduce, also known as `foldr`. - _.reduceRight = _.foldr = createReduce(-1); - - // Return the first value which passes a truth test. Aliased as `detect`. - _.find = _.detect = function(obj, predicate, context) { - var key; - if (isArrayLike(obj)) { - key = _.findIndex(obj, predicate, context); - } else { - key = _.findKey(obj, predicate, context); - } - if (key !== void 0 && key !== -1) return obj[key]; - }; - - // Return all the elements that pass a truth test. - // Aliased as `select`. - _.filter = _.select = function(obj, predicate, context) { - var results = []; - predicate = cb(predicate, context); - _.each(obj, function(value, index, list) { - if (predicate(value, index, list)) results.push(value); - }); - return results; - }; - - // Return all the elements for which a truth test fails. - _.reject = function(obj, predicate, context) { - return _.filter(obj, _.negate(cb(predicate)), context); - }; - - // Determine whether all of the elements match a truth test. - // Aliased as `all`. - _.every = _.all = function(obj, predicate, context) { - predicate = cb(predicate, context); - var keys = !isArrayLike(obj) && _.keys(obj), - length = (keys || obj).length; - for (var index = 0; index < length; index++) { - var currentKey = keys ? keys[index] : index; - if (!predicate(obj[currentKey], currentKey, obj)) return false; - } - return true; - }; - - // Determine if at least one element in the object matches a truth test. - // Aliased as `any`. - _.some = _.any = function(obj, predicate, context) { - predicate = cb(predicate, context); - var keys = !isArrayLike(obj) && _.keys(obj), - length = (keys || obj).length; - for (var index = 0; index < length; index++) { - var currentKey = keys ? keys[index] : index; - if (predicate(obj[currentKey], currentKey, obj)) return true; - } - return false; - }; - - // Determine if the array or object contains a given item (using `===`). - // Aliased as `includes` and `include`. - _.contains = _.includes = _.include = function(obj, item, fromIndex, guard) { - if (!isArrayLike(obj)) obj = _.values(obj); - if (typeof fromIndex != 'number' || guard) fromIndex = 0; - return _.indexOf(obj, item, fromIndex) >= 0; - }; - - // Invoke a method (with arguments) on every item in a collection. - _.invoke = function(obj, method) { - var args = slice.call(arguments, 2); - var isFunc = _.isFunction(method); - return _.map(obj, function(value) { - var func = isFunc ? method : value[method]; - return func == null ? func : func.apply(value, args); - }); - }; - - // Convenience version of a common use case of `map`: fetching a property. - _.pluck = function(obj, key) { - return _.map(obj, _.property(key)); - }; - - // Convenience version of a common use case of `filter`: selecting only objects - // containing specific `key:value` pairs. - _.where = function(obj, attrs) { - return _.filter(obj, _.matcher(attrs)); - }; - - // Convenience version of a common use case of `find`: getting the first object - // containing specific `key:value` pairs. - _.findWhere = function(obj, attrs) { - return _.find(obj, _.matcher(attrs)); - }; - - // Return the maximum element (or element-based computation). - _.max = function(obj, iteratee, context) { - var result = -Infinity, lastComputed = -Infinity, - value, computed; - if (iteratee == null && obj != null) { - obj = isArrayLike(obj) ? obj : _.values(obj); - for (var i = 0, length = obj.length; i < length; i++) { - value = obj[i]; - if (value > result) { - result = value; - } - } - } else { - iteratee = cb(iteratee, context); - _.each(obj, function(value, index, list) { - computed = iteratee(value, index, list); - if (computed > lastComputed || computed === -Infinity && result === -Infinity) { - result = value; - lastComputed = computed; - } - }); - } - return result; - }; - - // Return the minimum element (or element-based computation). - _.min = function(obj, iteratee, context) { - var result = Infinity, lastComputed = Infinity, - value, computed; - if (iteratee == null && obj != null) { - obj = isArrayLike(obj) ? obj : _.values(obj); - for (var i = 0, length = obj.length; i < length; i++) { - value = obj[i]; - if (value < result) { - result = value; - } - } - } else { - iteratee = cb(iteratee, context); - _.each(obj, function(value, index, list) { - computed = iteratee(value, index, list); - if (computed < lastComputed || computed === Infinity && result === Infinity) { - result = value; - lastComputed = computed; - } - }); - } - return result; - }; - - // Shuffle a collection, using the modern version of the - // [Fisher-Yates shuffle](http://en.wikipedia.org/wiki/Fisher–Yates_shuffle). - _.shuffle = function(obj) { - var set = isArrayLike(obj) ? obj : _.values(obj); - var length = set.length; - var shuffled = Array(length); - for (var index = 0, rand; index < length; index++) { - rand = _.random(0, index); - if (rand !== index) shuffled[index] = shuffled[rand]; - shuffled[rand] = set[index]; - } - return shuffled; - }; - - // Sample **n** random values from a collection. - // If **n** is not specified, returns a single random element. - // The internal `guard` argument allows it to work with `map`. - _.sample = function(obj, n, guard) { - if (n == null || guard) { - if (!isArrayLike(obj)) obj = _.values(obj); - return obj[_.random(obj.length - 1)]; - } - return _.shuffle(obj).slice(0, Math.max(0, n)); - }; - - // Sort the object's values by a criterion produced by an iteratee. - _.sortBy = function(obj, iteratee, context) { - iteratee = cb(iteratee, context); - return _.pluck(_.map(obj, function(value, index, list) { - return { - value: value, - index: index, - criteria: iteratee(value, index, list) - }; - }).sort(function(left, right) { - var a = left.criteria; - var b = right.criteria; - if (a !== b) { - if (a > b || a === void 0) return 1; - if (a < b || b === void 0) return -1; - } - return left.index - right.index; - }), 'value'); - }; - - // An internal function used for aggregate "group by" operations. - var group = function(behavior) { - return function(obj, iteratee, context) { - var result = {}; - iteratee = cb(iteratee, context); - _.each(obj, function(value, index) { - var key = iteratee(value, index, obj); - behavior(result, value, key); - }); - return result; - }; - }; - - // Groups the object's values by a criterion. Pass either a string attribute - // to group by, or a function that returns the criterion. - _.groupBy = group(function(result, value, key) { - if (_.has(result, key)) result[key].push(value); else result[key] = [value]; - }); - - // Indexes the object's values by a criterion, similar to `groupBy`, but for - // when you know that your index values will be unique. - _.indexBy = group(function(result, value, key) { - result[key] = value; - }); - - // Counts instances of an object that group by a certain criterion. Pass - // either a string attribute to count by, or a function that returns the - // criterion. - _.countBy = group(function(result, value, key) { - if (_.has(result, key)) result[key]++; else result[key] = 1; - }); - - // Safely create a real, live array from anything iterable. - _.toArray = function(obj) { - if (!obj) return []; - if (_.isArray(obj)) return slice.call(obj); - if (isArrayLike(obj)) return _.map(obj, _.identity); - return _.values(obj); - }; - - // Return the number of elements in an object. - _.size = function(obj) { - if (obj == null) return 0; - return isArrayLike(obj) ? obj.length : _.keys(obj).length; - }; - - // Split a collection into two arrays: one whose elements all satisfy the given - // predicate, and one whose elements all do not satisfy the predicate. - _.partition = function(obj, predicate, context) { - predicate = cb(predicate, context); - var pass = [], fail = []; - _.each(obj, function(value, key, obj) { - (predicate(value, key, obj) ? pass : fail).push(value); - }); - return [pass, fail]; - }; - - // Array Functions - // --------------- - - // Get the first element of an array. Passing **n** will return the first N - // values in the array. Aliased as `head` and `take`. The **guard** check - // allows it to work with `_.map`. - _.first = _.head = _.take = function(array, n, guard) { - if (array == null) return void 0; - if (n == null || guard) return array[0]; - return _.initial(array, array.length - n); - }; - - // Returns everything but the last entry of the array. Especially useful on - // the arguments object. Passing **n** will return all the values in - // the array, excluding the last N. - _.initial = function(array, n, guard) { - return slice.call(array, 0, Math.max(0, array.length - (n == null || guard ? 1 : n))); - }; - - // Get the last element of an array. Passing **n** will return the last N - // values in the array. - _.last = function(array, n, guard) { - if (array == null) return void 0; - if (n == null || guard) return array[array.length - 1]; - return _.rest(array, Math.max(0, array.length - n)); - }; - - // Returns everything but the first entry of the array. Aliased as `tail` and `drop`. - // Especially useful on the arguments object. Passing an **n** will return - // the rest N values in the array. - _.rest = _.tail = _.drop = function(array, n, guard) { - return slice.call(array, n == null || guard ? 1 : n); - }; - - // Trim out all falsy values from an array. - _.compact = function(array) { - return _.filter(array, _.identity); - }; - - // Internal implementation of a recursive `flatten` function. - var flatten = function(input, shallow, strict, startIndex) { - var output = [], idx = 0; - for (var i = startIndex || 0, length = getLength(input); i < length; i++) { - var value = input[i]; - if (isArrayLike(value) && (_.isArray(value) || _.isArguments(value))) { - //flatten current level of array or arguments object - if (!shallow) value = flatten(value, shallow, strict); - var j = 0, len = value.length; - output.length += len; - while (j < len) { - output[idx++] = value[j++]; - } - } else if (!strict) { - output[idx++] = value; - } - } - return output; - }; - - // Flatten out an array, either recursively (by default), or just one level. - _.flatten = function(array, shallow) { - return flatten(array, shallow, false); - }; - - // Return a version of the array that does not contain the specified value(s). - _.without = function(array) { - return _.difference(array, slice.call(arguments, 1)); - }; - - // Produce a duplicate-free version of the array. If the array has already - // been sorted, you have the option of using a faster algorithm. - // Aliased as `unique`. - _.uniq = _.unique = function(array, isSorted, iteratee, context) { - if (!_.isBoolean(isSorted)) { - context = iteratee; - iteratee = isSorted; - isSorted = false; - } - if (iteratee != null) iteratee = cb(iteratee, context); - var result = []; - var seen = []; - for (var i = 0, length = getLength(array); i < length; i++) { - var value = array[i], - computed = iteratee ? iteratee(value, i, array) : value; - if (isSorted) { - if (!i || seen !== computed) result.push(value); - seen = computed; - } else if (iteratee) { - if (!_.contains(seen, computed)) { - seen.push(computed); - result.push(value); - } - } else if (!_.contains(result, value)) { - result.push(value); - } - } - return result; - }; - - // Produce an array that contains the union: each distinct element from all of - // the passed-in arrays. - _.union = function() { - return _.uniq(flatten(arguments, true, true)); - }; - - // Produce an array that contains every item shared between all the - // passed-in arrays. - _.intersection = function(array) { - var result = []; - var argsLength = arguments.length; - for (var i = 0, length = getLength(array); i < length; i++) { - var item = array[i]; - if (_.contains(result, item)) continue; - for (var j = 1; j < argsLength; j++) { - if (!_.contains(arguments[j], item)) break; - } - if (j === argsLength) result.push(item); - } - return result; - }; - - // Take the difference between one array and a number of other arrays. - // Only the elements present in just the first array will remain. - _.difference = function(array) { - var rest = flatten(arguments, true, true, 1); - return _.filter(array, function(value){ - return !_.contains(rest, value); - }); - }; - - // Zip together multiple lists into a single array -- elements that share - // an index go together. - _.zip = function() { - return _.unzip(arguments); - }; - - // Complement of _.zip. Unzip accepts an array of arrays and groups - // each array's elements on shared indices - _.unzip = function(array) { - var length = array && _.max(array, getLength).length || 0; - var result = Array(length); - - for (var index = 0; index < length; index++) { - result[index] = _.pluck(array, index); - } - return result; - }; - - // Converts lists into objects. Pass either a single array of `[key, value]` - // pairs, or two parallel arrays of the same length -- one of keys, and one of - // the corresponding values. - _.object = function(list, values) { - var result = {}; - for (var i = 0, length = getLength(list); i < length; i++) { - if (values) { - result[list[i]] = values[i]; - } else { - result[list[i][0]] = list[i][1]; - } - } - return result; - }; - - // Generator function to create the findIndex and findLastIndex functions - function createPredicateIndexFinder(dir) { - return function(array, predicate, context) { - predicate = cb(predicate, context); - var length = getLength(array); - var index = dir > 0 ? 0 : length - 1; - for (; index >= 0 && index < length; index += dir) { - if (predicate(array[index], index, array)) return index; - } - return -1; - }; - } - - // Returns the first index on an array-like that passes a predicate test - _.findIndex = createPredicateIndexFinder(1); - _.findLastIndex = createPredicateIndexFinder(-1); - - // Use a comparator function to figure out the smallest index at which - // an object should be inserted so as to maintain order. Uses binary search. - _.sortedIndex = function(array, obj, iteratee, context) { - iteratee = cb(iteratee, context, 1); - var value = iteratee(obj); - var low = 0, high = getLength(array); - while (low < high) { - var mid = Math.floor((low + high) / 2); - if (iteratee(array[mid]) < value) low = mid + 1; else high = mid; - } - return low; - }; - - // Generator function to create the indexOf and lastIndexOf functions - function createIndexFinder(dir, predicateFind, sortedIndex) { - return function(array, item, idx) { - var i = 0, length = getLength(array); - if (typeof idx == 'number') { - if (dir > 0) { - i = idx >= 0 ? idx : Math.max(idx + length, i); - } else { - length = idx >= 0 ? Math.min(idx + 1, length) : idx + length + 1; - } - } else if (sortedIndex && idx && length) { - idx = sortedIndex(array, item); - return array[idx] === item ? idx : -1; - } - if (item !== item) { - idx = predicateFind(slice.call(array, i, length), _.isNaN); - return idx >= 0 ? idx + i : -1; - } - for (idx = dir > 0 ? i : length - 1; idx >= 0 && idx < length; idx += dir) { - if (array[idx] === item) return idx; - } - return -1; - }; - } - - // Return the position of the first occurrence of an item in an array, - // or -1 if the item is not included in the array. - // If the array is large and already in sort order, pass `true` - // for **isSorted** to use binary search. - _.indexOf = createIndexFinder(1, _.findIndex, _.sortedIndex); - _.lastIndexOf = createIndexFinder(-1, _.findLastIndex); - - // Generate an integer Array containing an arithmetic progression. A port of - // the native Python `range()` function. See - // [the Python documentation](http://docs.python.org/library/functions.html#range). - _.range = function(start, stop, step) { - if (stop == null) { - stop = start || 0; - start = 0; - } - step = step || 1; - - var length = Math.max(Math.ceil((stop - start) / step), 0); - var range = Array(length); - - for (var idx = 0; idx < length; idx++, start += step) { - range[idx] = start; - } - - return range; - }; - - // Function (ahem) Functions - // ------------------ - - // Determines whether to execute a function as a constructor - // or a normal function with the provided arguments - var executeBound = function(sourceFunc, boundFunc, context, callingContext, args) { - if (!(callingContext instanceof boundFunc)) return sourceFunc.apply(context, args); - var self = baseCreate(sourceFunc.prototype); - var result = sourceFunc.apply(self, args); - if (_.isObject(result)) return result; - return self; - }; - - // Create a function bound to a given object (assigning `this`, and arguments, - // optionally). Delegates to **ECMAScript 5**'s native `Function.bind` if - // available. - _.bind = function(func, context) { - if (nativeBind && func.bind === nativeBind) return nativeBind.apply(func, slice.call(arguments, 1)); - if (!_.isFunction(func)) throw new TypeError('Bind must be called on a function'); - var args = slice.call(arguments, 2); - var bound = function() { - return executeBound(func, bound, context, this, args.concat(slice.call(arguments))); - }; - return bound; - }; - - // Partially apply a function by creating a version that has had some of its - // arguments pre-filled, without changing its dynamic `this` context. _ acts - // as a placeholder, allowing any combination of arguments to be pre-filled. - _.partial = function(func) { - var boundArgs = slice.call(arguments, 1); - var bound = function() { - var position = 0, length = boundArgs.length; - var args = Array(length); - for (var i = 0; i < length; i++) { - args[i] = boundArgs[i] === _ ? arguments[position++] : boundArgs[i]; - } - while (position < arguments.length) args.push(arguments[position++]); - return executeBound(func, bound, this, this, args); - }; - return bound; - }; - - // Bind a number of an object's methods to that object. Remaining arguments - // are the method names to be bound. Useful for ensuring that all callbacks - // defined on an object belong to it. - _.bindAll = function(obj) { - var i, length = arguments.length, key; - if (length <= 1) throw new Error('bindAll must be passed function names'); - for (i = 1; i < length; i++) { - key = arguments[i]; - obj[key] = _.bind(obj[key], obj); - } - return obj; - }; - - // Memoize an expensive function by storing its results. - _.memoize = function(func, hasher) { - var memoize = function(key) { - var cache = memoize.cache; - var address = '' + (hasher ? hasher.apply(this, arguments) : key); - if (!_.has(cache, address)) cache[address] = func.apply(this, arguments); - return cache[address]; - }; - memoize.cache = {}; - return memoize; - }; - - // Delays a function for the given number of milliseconds, and then calls - // it with the arguments supplied. - _.delay = function(func, wait) { - var args = slice.call(arguments, 2); - return setTimeout(function(){ - return func.apply(null, args); - }, wait); - }; - - // Defers a function, scheduling it to run after the current call stack has - // cleared. - _.defer = _.partial(_.delay, _, 1); - - // Returns a function, that, when invoked, will only be triggered at most once - // during a given window of time. Normally, the throttled function will run - // as much as it can, without ever going more than once per `wait` duration; - // but if you'd like to disable the execution on the leading edge, pass - // `{leading: false}`. To disable execution on the trailing edge, ditto. - _.throttle = function(func, wait, options) { - var context, args, result; - var timeout = null; - var previous = 0; - if (!options) options = {}; - var later = function() { - previous = options.leading === false ? 0 : _.now(); - timeout = null; - result = func.apply(context, args); - if (!timeout) context = args = null; - }; - return function() { - var now = _.now(); - if (!previous && options.leading === false) previous = now; - var remaining = wait - (now - previous); - context = this; - args = arguments; - if (remaining <= 0 || remaining > wait) { - if (timeout) { - clearTimeout(timeout); - timeout = null; - } - previous = now; - result = func.apply(context, args); - if (!timeout) context = args = null; - } else if (!timeout && options.trailing !== false) { - timeout = setTimeout(later, remaining); - } - return result; - }; - }; - - // Returns a function, that, as long as it continues to be invoked, will not - // be triggered. The function will be called after it stops being called for - // N milliseconds. If `immediate` is passed, trigger the function on the - // leading edge, instead of the trailing. - _.debounce = function(func, wait, immediate) { - var timeout, args, context, timestamp, result; - - var later = function() { - var last = _.now() - timestamp; - - if (last < wait && last >= 0) { - timeout = setTimeout(later, wait - last); - } else { - timeout = null; - if (!immediate) { - result = func.apply(context, args); - if (!timeout) context = args = null; - } - } - }; - - return function() { - context = this; - args = arguments; - timestamp = _.now(); - var callNow = immediate && !timeout; - if (!timeout) timeout = setTimeout(later, wait); - if (callNow) { - result = func.apply(context, args); - context = args = null; - } - - return result; - }; - }; - - // Returns the first function passed as an argument to the second, - // allowing you to adjust arguments, run code before and after, and - // conditionally execute the original function. - _.wrap = function(func, wrapper) { - return _.partial(wrapper, func); - }; - - // Returns a negated version of the passed-in predicate. - _.negate = function(predicate) { - return function() { - return !predicate.apply(this, arguments); - }; - }; - - // Returns a function that is the composition of a list of functions, each - // consuming the return value of the function that follows. - _.compose = function() { - var args = arguments; - var start = args.length - 1; - return function() { - var i = start; - var result = args[start].apply(this, arguments); - while (i--) result = args[i].call(this, result); - return result; - }; - }; - - // Returns a function that will only be executed on and after the Nth call. - _.after = function(times, func) { - return function() { - if (--times < 1) { - return func.apply(this, arguments); - } - }; - }; - - // Returns a function that will only be executed up to (but not including) the Nth call. - _.before = function(times, func) { - var memo; - return function() { - if (--times > 0) { - memo = func.apply(this, arguments); - } - if (times <= 1) func = null; - return memo; - }; - }; - - // Returns a function that will be executed at most one time, no matter how - // often you call it. Useful for lazy initialization. - _.once = _.partial(_.before, 2); - - // Object Functions - // ---------------- - - // Keys in IE < 9 that won't be iterated by `for key in ...` and thus missed. - var hasEnumBug = !{toString: null}.propertyIsEnumerable('toString'); - var nonEnumerableProps = ['valueOf', 'isPrototypeOf', 'toString', - 'propertyIsEnumerable', 'hasOwnProperty', 'toLocaleString']; - - function collectNonEnumProps(obj, keys) { - var nonEnumIdx = nonEnumerableProps.length; - var constructor = obj.constructor; - var proto = (_.isFunction(constructor) && constructor.prototype) || ObjProto; - - // Constructor is a special case. - var prop = 'constructor'; - if (_.has(obj, prop) && !_.contains(keys, prop)) keys.push(prop); - - while (nonEnumIdx--) { - prop = nonEnumerableProps[nonEnumIdx]; - if (prop in obj && obj[prop] !== proto[prop] && !_.contains(keys, prop)) { - keys.push(prop); - } - } - } - - // Retrieve the names of an object's own properties. - // Delegates to **ECMAScript 5**'s native `Object.keys` - _.keys = function(obj) { - if (!_.isObject(obj)) return []; - if (nativeKeys) return nativeKeys(obj); - var keys = []; - for (var key in obj) if (_.has(obj, key)) keys.push(key); - // Ahem, IE < 9. - if (hasEnumBug) collectNonEnumProps(obj, keys); - return keys; - }; - - // Retrieve all the property names of an object. - _.allKeys = function(obj) { - if (!_.isObject(obj)) return []; - var keys = []; - for (var key in obj) keys.push(key); - // Ahem, IE < 9. - if (hasEnumBug) collectNonEnumProps(obj, keys); - return keys; - }; - - // Retrieve the values of an object's properties. - _.values = function(obj) { - var keys = _.keys(obj); - var length = keys.length; - var values = Array(length); - for (var i = 0; i < length; i++) { - values[i] = obj[keys[i]]; - } - return values; - }; - - // Returns the results of applying the iteratee to each element of the object - // In contrast to _.map it returns an object - _.mapObject = function(obj, iteratee, context) { - iteratee = cb(iteratee, context); - var keys = _.keys(obj), - length = keys.length, - results = {}, - currentKey; - for (var index = 0; index < length; index++) { - currentKey = keys[index]; - results[currentKey] = iteratee(obj[currentKey], currentKey, obj); - } - return results; - }; - - // Convert an object into a list of `[key, value]` pairs. - _.pairs = function(obj) { - var keys = _.keys(obj); - var length = keys.length; - var pairs = Array(length); - for (var i = 0; i < length; i++) { - pairs[i] = [keys[i], obj[keys[i]]]; - } - return pairs; - }; - - // Invert the keys and values of an object. The values must be serializable. - _.invert = function(obj) { - var result = {}; - var keys = _.keys(obj); - for (var i = 0, length = keys.length; i < length; i++) { - result[obj[keys[i]]] = keys[i]; - } - return result; - }; - - // Return a sorted list of the function names available on the object. - // Aliased as `methods` - _.functions = _.methods = function(obj) { - var names = []; - for (var key in obj) { - if (_.isFunction(obj[key])) names.push(key); - } - return names.sort(); - }; - - // Extend a given object with all the properties in passed-in object(s). - _.extend = createAssigner(_.allKeys); - - // Assigns a given object with all the own properties in the passed-in object(s) - // (https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object/assign) - _.extendOwn = _.assign = createAssigner(_.keys); - - // Returns the first key on an object that passes a predicate test - _.findKey = function(obj, predicate, context) { - predicate = cb(predicate, context); - var keys = _.keys(obj), key; - for (var i = 0, length = keys.length; i < length; i++) { - key = keys[i]; - if (predicate(obj[key], key, obj)) return key; - } - }; - - // Return a copy of the object only containing the whitelisted properties. - _.pick = function(object, oiteratee, context) { - var result = {}, obj = object, iteratee, keys; - if (obj == null) return result; - if (_.isFunction(oiteratee)) { - keys = _.allKeys(obj); - iteratee = optimizeCb(oiteratee, context); - } else { - keys = flatten(arguments, false, false, 1); - iteratee = function(value, key, obj) { return key in obj; }; - obj = Object(obj); - } - for (var i = 0, length = keys.length; i < length; i++) { - var key = keys[i]; - var value = obj[key]; - if (iteratee(value, key, obj)) result[key] = value; - } - return result; - }; - - // Return a copy of the object without the blacklisted properties. - _.omit = function(obj, iteratee, context) { - if (_.isFunction(iteratee)) { - iteratee = _.negate(iteratee); - } else { - var keys = _.map(flatten(arguments, false, false, 1), String); - iteratee = function(value, key) { - return !_.contains(keys, key); - }; - } - return _.pick(obj, iteratee, context); - }; - - // Fill in a given object with default properties. - _.defaults = createAssigner(_.allKeys, true); - - // Creates an object that inherits from the given prototype object. - // If additional properties are provided then they will be added to the - // created object. - _.create = function(prototype, props) { - var result = baseCreate(prototype); - if (props) _.extendOwn(result, props); - return result; - }; - - // Create a (shallow-cloned) duplicate of an object. - _.clone = function(obj) { - if (!_.isObject(obj)) return obj; - return _.isArray(obj) ? obj.slice() : _.extend({}, obj); - }; - - // Invokes interceptor with the obj, and then returns obj. - // The primary purpose of this method is to "tap into" a method chain, in - // order to perform operations on intermediate results within the chain. - _.tap = function(obj, interceptor) { - interceptor(obj); - return obj; - }; - - // Returns whether an object has a given set of `key:value` pairs. - _.isMatch = function(object, attrs) { - var keys = _.keys(attrs), length = keys.length; - if (object == null) return !length; - var obj = Object(object); - for (var i = 0; i < length; i++) { - var key = keys[i]; - if (attrs[key] !== obj[key] || !(key in obj)) return false; - } - return true; - }; - - - // Internal recursive comparison function for `isEqual`. - var eq = function(a, b, aStack, bStack) { - // Identical objects are equal. `0 === -0`, but they aren't identical. - // See the [Harmony `egal` proposal](http://wiki.ecmascript.org/doku.php?id=harmony:egal). - if (a === b) return a !== 0 || 1 / a === 1 / b; - // A strict comparison is necessary because `null == undefined`. - if (a == null || b == null) return a === b; - // Unwrap any wrapped objects. - if (a instanceof _) a = a._wrapped; - if (b instanceof _) b = b._wrapped; - // Compare `[[Class]]` names. - var className = toString.call(a); - if (className !== toString.call(b)) return false; - switch (className) { - // Strings, numbers, regular expressions, dates, and booleans are compared by value. - case '[object RegExp]': - // RegExps are coerced to strings for comparison (Note: '' + /a/i === '/a/i') - case '[object String]': - // Primitives and their corresponding object wrappers are equivalent; thus, `"5"` is - // equivalent to `new String("5")`. - return '' + a === '' + b; - case '[object Number]': - // `NaN`s are equivalent, but non-reflexive. - // Object(NaN) is equivalent to NaN - if (+a !== +a) return +b !== +b; - // An `egal` comparison is performed for other numeric values. - return +a === 0 ? 1 / +a === 1 / b : +a === +b; - case '[object Date]': - case '[object Boolean]': - // Coerce dates and booleans to numeric primitive values. Dates are compared by their - // millisecond representations. Note that invalid dates with millisecond representations - // of `NaN` are not equivalent. - return +a === +b; - } - - var areArrays = className === '[object Array]'; - if (!areArrays) { - if (typeof a != 'object' || typeof b != 'object') return false; - - // Objects with different constructors are not equivalent, but `Object`s or `Array`s - // from different frames are. - var aCtor = a.constructor, bCtor = b.constructor; - if (aCtor !== bCtor && !(_.isFunction(aCtor) && aCtor instanceof aCtor && - _.isFunction(bCtor) && bCtor instanceof bCtor) - && ('constructor' in a && 'constructor' in b)) { - return false; - } - } - // Assume equality for cyclic structures. The algorithm for detecting cyclic - // structures is adapted from ES 5.1 section 15.12.3, abstract operation `JO`. - - // Initializing stack of traversed objects. - // It's done here since we only need them for objects and arrays comparison. - aStack = aStack || []; - bStack = bStack || []; - var length = aStack.length; - while (length--) { - // Linear search. Performance is inversely proportional to the number of - // unique nested structures. - if (aStack[length] === a) return bStack[length] === b; - } - - // Add the first object to the stack of traversed objects. - aStack.push(a); - bStack.push(b); - - // Recursively compare objects and arrays. - if (areArrays) { - // Compare array lengths to determine if a deep comparison is necessary. - length = a.length; - if (length !== b.length) return false; - // Deep compare the contents, ignoring non-numeric properties. - while (length--) { - if (!eq(a[length], b[length], aStack, bStack)) return false; - } - } else { - // Deep compare objects. - var keys = _.keys(a), key; - length = keys.length; - // Ensure that both objects contain the same number of properties before comparing deep equality. - if (_.keys(b).length !== length) return false; - while (length--) { - // Deep compare each member - key = keys[length]; - if (!(_.has(b, key) && eq(a[key], b[key], aStack, bStack))) return false; - } - } - // Remove the first object from the stack of traversed objects. - aStack.pop(); - bStack.pop(); - return true; - }; - - // Perform a deep comparison to check if two objects are equal. - _.isEqual = function(a, b) { - return eq(a, b); - }; - - // Is a given array, string, or object empty? - // An "empty" object has no enumerable own-properties. - _.isEmpty = function(obj) { - if (obj == null) return true; - if (isArrayLike(obj) && (_.isArray(obj) || _.isString(obj) || _.isArguments(obj))) return obj.length === 0; - return _.keys(obj).length === 0; - }; - - // Is a given value a DOM element? - _.isElement = function(obj) { - return !!(obj && obj.nodeType === 1); - }; - - // Is a given value an array? - // Delegates to ECMA5's native Array.isArray - _.isArray = nativeIsArray || function(obj) { - return toString.call(obj) === '[object Array]'; - }; - - // Is a given variable an object? - _.isObject = function(obj) { - var type = typeof obj; - return type === 'function' || type === 'object' && !!obj; - }; - - // Add some isType methods: isArguments, isFunction, isString, isNumber, isDate, isRegExp, isError. - _.each(['Arguments', 'Function', 'String', 'Number', 'Date', 'RegExp', 'Error'], function(name) { - _['is' + name] = function(obj) { - return toString.call(obj) === '[object ' + name + ']'; - }; - }); - - // Define a fallback version of the method in browsers (ahem, IE < 9), where - // there isn't any inspectable "Arguments" type. - if (!_.isArguments(arguments)) { - _.isArguments = function(obj) { - return _.has(obj, 'callee'); - }; - } - - // Optimize `isFunction` if appropriate. Work around some typeof bugs in old v8, - // IE 11 (#1621), and in Safari 8 (#1929). - if (typeof /./ != 'function' && typeof Int8Array != 'object') { - _.isFunction = function(obj) { - return typeof obj == 'function' || false; - }; - } - - // Is a given object a finite number? - _.isFinite = function(obj) { - return isFinite(obj) && !isNaN(parseFloat(obj)); - }; - - // Is the given value `NaN`? (NaN is the only number which does not equal itself). - _.isNaN = function(obj) { - return _.isNumber(obj) && obj !== +obj; - }; - - // Is a given value a boolean? - _.isBoolean = function(obj) { - return obj === true || obj === false || toString.call(obj) === '[object Boolean]'; - }; - - // Is a given value equal to null? - _.isNull = function(obj) { - return obj === null; - }; - - // Is a given variable undefined? - _.isUndefined = function(obj) { - return obj === void 0; - }; - - // Shortcut function for checking if an object has a given property directly - // on itself (in other words, not on a prototype). - _.has = function(obj, key) { - return obj != null && hasOwnProperty.call(obj, key); - }; - - // Utility Functions - // ----------------- - - // Run Underscore.js in *noConflict* mode, returning the `_` variable to its - // previous owner. Returns a reference to the Underscore object. - _.noConflict = function() { - root._ = previousUnderscore; - return this; - }; - - // Keep the identity function around for default iteratees. - _.identity = function(value) { - return value; - }; - - // Predicate-generating functions. Often useful outside of Underscore. - _.constant = function(value) { - return function() { - return value; - }; - }; - - _.noop = function(){}; - - _.property = property; - - // Generates a function for a given object that returns a given property. - _.propertyOf = function(obj) { - return obj == null ? function(){} : function(key) { - return obj[key]; - }; - }; - - // Returns a predicate for checking whether an object has a given set of - // `key:value` pairs. - _.matcher = _.matches = function(attrs) { - attrs = _.extendOwn({}, attrs); - return function(obj) { - return _.isMatch(obj, attrs); - }; - }; - - // Run a function **n** times. - _.times = function(n, iteratee, context) { - var accum = Array(Math.max(0, n)); - iteratee = optimizeCb(iteratee, context, 1); - for (var i = 0; i < n; i++) accum[i] = iteratee(i); - return accum; - }; - - // Return a random integer between min and max (inclusive). - _.random = function(min, max) { - if (max == null) { - max = min; - min = 0; - } - return min + Math.floor(Math.random() * (max - min + 1)); - }; - - // A (possibly faster) way to get the current timestamp as an integer. - _.now = Date.now || function() { - return new Date().getTime(); - }; - - // List of HTML entities for escaping. - var escapeMap = { - '&': '&', - '<': '<', - '>': '>', - '"': '"', - "'": ''', - '`': '`' - }; - var unescapeMap = _.invert(escapeMap); - - // Functions for escaping and unescaping strings to/from HTML interpolation. - var createEscaper = function(map) { - var escaper = function(match) { - return map[match]; - }; - // Regexes for identifying a key that needs to be escaped - var source = '(?:' + _.keys(map).join('|') + ')'; - var testRegexp = RegExp(source); - var replaceRegexp = RegExp(source, 'g'); - return function(string) { - string = string == null ? '' : '' + string; - return testRegexp.test(string) ? string.replace(replaceRegexp, escaper) : string; - }; - }; - _.escape = createEscaper(escapeMap); - _.unescape = createEscaper(unescapeMap); - - // If the value of the named `property` is a function then invoke it with the - // `object` as context; otherwise, return it. - _.result = function(object, property, fallback) { - var value = object == null ? void 0 : object[property]; - if (value === void 0) { - value = fallback; - } - return _.isFunction(value) ? value.call(object) : value; - }; - - // Generate a unique integer id (unique within the entire client session). - // Useful for temporary DOM ids. - var idCounter = 0; - _.uniqueId = function(prefix) { - var id = ++idCounter + ''; - return prefix ? prefix + id : id; - }; - - // By default, Underscore uses ERB-style template delimiters, change the - // following template settings to use alternative delimiters. - _.templateSettings = { - evaluate : /<%([\s\S]+?)%>/g, - interpolate : /<%=([\s\S]+?)%>/g, - escape : /<%-([\s\S]+?)%>/g - }; - - // When customizing `templateSettings`, if you don't want to define an - // interpolation, evaluation or escaping regex, we need one that is - // guaranteed not to match. - var noMatch = /(.)^/; - - // Certain characters need to be escaped so that they can be put into a - // string literal. - var escapes = { - "'": "'", - '\\': '\\', - '\r': 'r', - '\n': 'n', - '\u2028': 'u2028', - '\u2029': 'u2029' - }; - - var escaper = /\\|'|\r|\n|\u2028|\u2029/g; - - var escapeChar = function(match) { - return '\\' + escapes[match]; - }; - - // JavaScript micro-templating, similar to John Resig's implementation. - // Underscore templating handles arbitrary delimiters, preserves whitespace, - // and correctly escapes quotes within interpolated code. - // NB: `oldSettings` only exists for backwards compatibility. - _.template = function(text, settings, oldSettings) { - if (!settings && oldSettings) settings = oldSettings; - settings = _.defaults({}, settings, _.templateSettings); - - // Combine delimiters into one regular expression via alternation. - var matcher = RegExp([ - (settings.escape || noMatch).source, - (settings.interpolate || noMatch).source, - (settings.evaluate || noMatch).source - ].join('|') + '|$', 'g'); - - // Compile the template source, escaping string literals appropriately. - var index = 0; - var source = "__p+='"; - text.replace(matcher, function(match, escape, interpolate, evaluate, offset) { - source += text.slice(index, offset).replace(escaper, escapeChar); - index = offset + match.length; - - if (escape) { - source += "'+\n((__t=(" + escape + "))==null?'':_.escape(__t))+\n'"; - } else if (interpolate) { - source += "'+\n((__t=(" + interpolate + "))==null?'':__t)+\n'"; - } else if (evaluate) { - source += "';\n" + evaluate + "\n__p+='"; - } - - // Adobe VMs need the match returned to produce the correct offest. - return match; - }); - source += "';\n"; - - // If a variable is not specified, place data values in local scope. - if (!settings.variable) source = 'with(obj||{}){\n' + source + '}\n'; - - source = "var __t,__p='',__j=Array.prototype.join," + - "print=function(){__p+=__j.call(arguments,'');};\n" + - source + 'return __p;\n'; - - try { - var render = new Function(settings.variable || 'obj', '_', source); - } catch (e) { - e.source = source; - throw e; - } - - var template = function(data) { - return render.call(this, data, _); - }; - - // Provide the compiled source as a convenience for precompilation. - var argument = settings.variable || 'obj'; - template.source = 'function(' + argument + '){\n' + source + '}'; - - return template; - }; - - // Add a "chain" function. Start chaining a wrapped Underscore object. - _.chain = function(obj) { - var instance = _(obj); - instance._chain = true; - return instance; - }; - - // OOP - // --------------- - // If Underscore is called as a function, it returns a wrapped object that - // can be used OO-style. This wrapper holds altered versions of all the - // underscore functions. Wrapped objects may be chained. - - // Helper function to continue chaining intermediate results. - var result = function(instance, obj) { - return instance._chain ? _(obj).chain() : obj; - }; - - // Add your own custom functions to the Underscore object. - _.mixin = function(obj) { - _.each(_.functions(obj), function(name) { - var func = _[name] = obj[name]; - _.prototype[name] = function() { - var args = [this._wrapped]; - push.apply(args, arguments); - return result(this, func.apply(_, args)); - }; - }); - }; - - // Add all of the Underscore functions to the wrapper object. - _.mixin(_); - - // Add all mutator Array functions to the wrapper. - _.each(['pop', 'push', 'reverse', 'shift', 'sort', 'splice', 'unshift'], function(name) { - var method = ArrayProto[name]; - _.prototype[name] = function() { - var obj = this._wrapped; - method.apply(obj, arguments); - if ((name === 'shift' || name === 'splice') && obj.length === 0) delete obj[0]; - return result(this, obj); - }; - }); - - // Add all accessor Array functions to the wrapper. - _.each(['concat', 'join', 'slice'], function(name) { - var method = ArrayProto[name]; - _.prototype[name] = function() { - return result(this, method.apply(this._wrapped, arguments)); - }; - }); - - // Extracts the result from a wrapped and chained object. - _.prototype.value = function() { - return this._wrapped; - }; - - // Provide unwrapping proxy for some methods used in engine operations - // such as arithmetic and JSON stringification. - _.prototype.valueOf = _.prototype.toJSON = _.prototype.value; - - _.prototype.toString = function() { - return '' + this._wrapped; - }; - - // AMD registration happens at the end for compatibility with AMD loaders - // that may not enforce next-turn semantics on modules. Even though general - // practice for AMD registration is to be anonymous, underscore registers - // as a named module because, like jQuery, it is a base library that is - // popular enough to be bundled in a third party lib, but not be part of - // an AMD load request. Those cases could generate an error when an - // anonymous define() is called outside of a loader request. - if (typeof define === 'function' && define.amd) { - define('underscore', [], function() { - return _; - }); - } -}.call(this)); - -},{}],26:[function(require,module,exports){ -arguments[4][19][0].apply(exports,arguments) -},{"dup":19}],27:[function(require,module,exports){ -module.exports = function isBuffer(arg) { - return arg && typeof arg === 'object' - && typeof arg.copy === 'function' - && typeof arg.fill === 'function' - && typeof arg.readUInt8 === 'function'; -} -},{}],28:[function(require,module,exports){ -(function (process,global){ -// Copyright Joyent, Inc. and other Node contributors. -// -// Permission is hereby granted, free of charge, to any person obtaining a -// copy of this software and associated documentation files (the -// "Software"), to deal in the Software without restriction, including -// without limitation the rights to use, copy, modify, merge, publish, -// distribute, sublicense, and/or sell copies of the Software, and to permit -// persons to whom the Software is furnished to do so, subject to the -// following conditions: -// -// The above copyright notice and this permission notice shall be included -// in all copies or substantial portions of the Software. -// -// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS -// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF -// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN -// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, -// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR -// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE -// USE OR OTHER DEALINGS IN THE SOFTWARE. - -var formatRegExp = /%[sdj%]/g; -exports.format = function(f) { - if (!isString(f)) { - var objects = []; - for (var i = 0; i < arguments.length; i++) { - objects.push(inspect(arguments[i])); - } - return objects.join(' '); - } - - var i = 1; - var args = arguments; - var len = args.length; - var str = String(f).replace(formatRegExp, function(x) { - if (x === '%%') return '%'; - if (i >= len) return x; - switch (x) { - case '%s': return String(args[i++]); - case '%d': return Number(args[i++]); - case '%j': - try { - return JSON.stringify(args[i++]); - } catch (_) { - return '[Circular]'; - } - default: - return x; - } - }); - for (var x = args[i]; i < len; x = args[++i]) { - if (isNull(x) || !isObject(x)) { - str += ' ' + x; - } else { - str += ' ' + inspect(x); - } - } - return str; -}; - - -// Mark that a method should not be used. -// Returns a modified function which warns once by default. -// If --no-deprecation is set, then it is a no-op. -exports.deprecate = function(fn, msg) { - // Allow for deprecating things in the process of starting up. - if (isUndefined(global.process)) { - return function() { - return exports.deprecate(fn, msg).apply(this, arguments); - }; - } - - if (process.noDeprecation === true) { - return fn; - } - - var warned = false; - function deprecated() { - if (!warned) { - if (process.throwDeprecation) { - throw new Error(msg); - } else if (process.traceDeprecation) { - console.trace(msg); - } else { - console.error(msg); - } - warned = true; - } - return fn.apply(this, arguments); - } - - return deprecated; -}; - - -var debugs = {}; -var debugEnviron; -exports.debuglog = function(set) { - if (isUndefined(debugEnviron)) - debugEnviron = process.env.NODE_DEBUG || ''; - set = set.toUpperCase(); - if (!debugs[set]) { - if (new RegExp('\\b' + set + '\\b', 'i').test(debugEnviron)) { - var pid = process.pid; - debugs[set] = function() { - var msg = exports.format.apply(exports, arguments); - console.error('%s %d: %s', set, pid, msg); - }; - } else { - debugs[set] = function() {}; - } - } - return debugs[set]; -}; - - -/** - * Echos the value of a value. Trys to print the value out - * in the best way possible given the different types. - * - * @param {Object} obj The object to print out. - * @param {Object} opts Optional options object that alters the output. - */ -/* legacy: obj, showHidden, depth, colors*/ -function inspect(obj, opts) { - // default options - var ctx = { - seen: [], - stylize: stylizeNoColor - }; - // legacy... - if (arguments.length >= 3) ctx.depth = arguments[2]; - if (arguments.length >= 4) ctx.colors = arguments[3]; - if (isBoolean(opts)) { - // legacy... - ctx.showHidden = opts; - } else if (opts) { - // got an "options" object - exports._extend(ctx, opts); - } - // set default options - if (isUndefined(ctx.showHidden)) ctx.showHidden = false; - if (isUndefined(ctx.depth)) ctx.depth = 2; - if (isUndefined(ctx.colors)) ctx.colors = false; - if (isUndefined(ctx.customInspect)) ctx.customInspect = true; - if (ctx.colors) ctx.stylize = stylizeWithColor; - return formatValue(ctx, obj, ctx.depth); -} -exports.inspect = inspect; - - -// http://en.wikipedia.org/wiki/ANSI_escape_code#graphics -inspect.colors = { - 'bold' : [1, 22], - 'italic' : [3, 23], - 'underline' : [4, 24], - 'inverse' : [7, 27], - 'white' : [37, 39], - 'grey' : [90, 39], - 'black' : [30, 39], - 'blue' : [34, 39], - 'cyan' : [36, 39], - 'green' : [32, 39], - 'magenta' : [35, 39], - 'red' : [31, 39], - 'yellow' : [33, 39] -}; - -// Don't use 'blue' not visible on cmd.exe -inspect.styles = { - 'special': 'cyan', - 'number': 'yellow', - 'boolean': 'yellow', - 'undefined': 'grey', - 'null': 'bold', - 'string': 'green', - 'date': 'magenta', - // "name": intentionally not styling - 'regexp': 'red' -}; - - -function stylizeWithColor(str, styleType) { - var style = inspect.styles[styleType]; - - if (style) { - return '\u001b[' + inspect.colors[style][0] + 'm' + str + - '\u001b[' + inspect.colors[style][1] + 'm'; - } else { - return str; - } -} - - -function stylizeNoColor(str, styleType) { - return str; -} - - -function arrayToHash(array) { - var hash = {}; - - array.forEach(function(val, idx) { - hash[val] = true; - }); - - return hash; -} - - -function formatValue(ctx, value, recurseTimes) { - // Provide a hook for user-specified inspect functions. - // Check that value is an object with an inspect function on it - if (ctx.customInspect && - value && - isFunction(value.inspect) && - // Filter out the util module, it's inspect function is special - value.inspect !== exports.inspect && - // Also filter out any prototype objects using the circular check. - !(value.constructor && value.constructor.prototype === value)) { - var ret = value.inspect(recurseTimes, ctx); - if (!isString(ret)) { - ret = formatValue(ctx, ret, recurseTimes); - } - return ret; - } - - // Primitive types cannot have properties - var primitive = formatPrimitive(ctx, value); - if (primitive) { - return primitive; - } - - // Look up the keys of the object. - var keys = Object.keys(value); - var visibleKeys = arrayToHash(keys); - - if (ctx.showHidden) { - keys = Object.getOwnPropertyNames(value); - } - - // IE doesn't make error fields non-enumerable - // http://msdn.microsoft.com/en-us/library/ie/dww52sbt(v=vs.94).aspx - if (isError(value) - && (keys.indexOf('message') >= 0 || keys.indexOf('description') >= 0)) { - return formatError(value); - } - - // Some type of object without properties can be shortcutted. - if (keys.length === 0) { - if (isFunction(value)) { - var name = value.name ? ': ' + value.name : ''; - return ctx.stylize('[Function' + name + ']', 'special'); - } - if (isRegExp(value)) { - return ctx.stylize(RegExp.prototype.toString.call(value), 'regexp'); - } - if (isDate(value)) { - return ctx.stylize(Date.prototype.toString.call(value), 'date'); - } - if (isError(value)) { - return formatError(value); - } - } - - var base = '', array = false, braces = ['{', '}']; - - // Make Array say that they are Array - if (isArray(value)) { - array = true; - braces = ['[', ']']; - } - - // Make functions say that they are functions - if (isFunction(value)) { - var n = value.name ? ': ' + value.name : ''; - base = ' [Function' + n + ']'; - } - - // Make RegExps say that they are RegExps - if (isRegExp(value)) { - base = ' ' + RegExp.prototype.toString.call(value); - } - - // Make dates with properties first say the date - if (isDate(value)) { - base = ' ' + Date.prototype.toUTCString.call(value); - } - - // Make error with message first say the error - if (isError(value)) { - base = ' ' + formatError(value); - } - - if (keys.length === 0 && (!array || value.length == 0)) { - return braces[0] + base + braces[1]; - } - - if (recurseTimes < 0) { - if (isRegExp(value)) { - return ctx.stylize(RegExp.prototype.toString.call(value), 'regexp'); - } else { - return ctx.stylize('[Object]', 'special'); - } - } - - ctx.seen.push(value); - - var output; - if (array) { - output = formatArray(ctx, value, recurseTimes, visibleKeys, keys); - } else { - output = keys.map(function(key) { - return formatProperty(ctx, value, recurseTimes, visibleKeys, key, array); - }); - } - - ctx.seen.pop(); - - return reduceToSingleString(output, base, braces); -} - - -function formatPrimitive(ctx, value) { - if (isUndefined(value)) - return ctx.stylize('undefined', 'undefined'); - if (isString(value)) { - var simple = '\'' + JSON.stringify(value).replace(/^"|"$/g, '') - .replace(/'/g, "\\'") - .replace(/\\"/g, '"') + '\''; - return ctx.stylize(simple, 'string'); - } - if (isNumber(value)) - return ctx.stylize('' + value, 'number'); - if (isBoolean(value)) - return ctx.stylize('' + value, 'boolean'); - // For some reason typeof null is "object", so special case here. - if (isNull(value)) - return ctx.stylize('null', 'null'); -} - - -function formatError(value) { - return '[' + Error.prototype.toString.call(value) + ']'; -} - - -function formatArray(ctx, value, recurseTimes, visibleKeys, keys) { - var output = []; - for (var i = 0, l = value.length; i < l; ++i) { - if (hasOwnProperty(value, String(i))) { - output.push(formatProperty(ctx, value, recurseTimes, visibleKeys, - String(i), true)); - } else { - output.push(''); - } - } - keys.forEach(function(key) { - if (!key.match(/^\d+$/)) { - output.push(formatProperty(ctx, value, recurseTimes, visibleKeys, - key, true)); - } - }); - return output; -} - - -function formatProperty(ctx, value, recurseTimes, visibleKeys, key, array) { - var name, str, desc; - desc = Object.getOwnPropertyDescriptor(value, key) || { value: value[key] }; - if (desc.get) { - if (desc.set) { - str = ctx.stylize('[Getter/Setter]', 'special'); - } else { - str = ctx.stylize('[Getter]', 'special'); - } - } else { - if (desc.set) { - str = ctx.stylize('[Setter]', 'special'); - } - } - if (!hasOwnProperty(visibleKeys, key)) { - name = '[' + key + ']'; - } - if (!str) { - if (ctx.seen.indexOf(desc.value) < 0) { - if (isNull(recurseTimes)) { - str = formatValue(ctx, desc.value, null); - } else { - str = formatValue(ctx, desc.value, recurseTimes - 1); - } - if (str.indexOf('\n') > -1) { - if (array) { - str = str.split('\n').map(function(line) { - return ' ' + line; - }).join('\n').substr(2); - } else { - str = '\n' + str.split('\n').map(function(line) { - return ' ' + line; - }).join('\n'); - } - } - } else { - str = ctx.stylize('[Circular]', 'special'); - } - } - if (isUndefined(name)) { - if (array && key.match(/^\d+$/)) { - return str; - } - name = JSON.stringify('' + key); - if (name.match(/^"([a-zA-Z_][a-zA-Z_0-9]*)"$/)) { - name = name.substr(1, name.length - 2); - name = ctx.stylize(name, 'name'); - } else { - name = name.replace(/'/g, "\\'") - .replace(/\\"/g, '"') - .replace(/(^"|"$)/g, "'"); - name = ctx.stylize(name, 'string'); - } - } - - return name + ': ' + str; -} - - -function reduceToSingleString(output, base, braces) { - var numLinesEst = 0; - var length = output.reduce(function(prev, cur) { - numLinesEst++; - if (cur.indexOf('\n') >= 0) numLinesEst++; - return prev + cur.replace(/\u001b\[\d\d?m/g, '').length + 1; - }, 0); - - if (length > 60) { - return braces[0] + - (base === '' ? '' : base + '\n ') + - ' ' + - output.join(',\n ') + - ' ' + - braces[1]; - } - - return braces[0] + base + ' ' + output.join(', ') + ' ' + braces[1]; -} - - -// NOTE: These type checking functions intentionally don't use `instanceof` -// because it is fragile and can be easily faked with `Object.create()`. -function isArray(ar) { - return Array.isArray(ar); -} -exports.isArray = isArray; - -function isBoolean(arg) { - return typeof arg === 'boolean'; -} -exports.isBoolean = isBoolean; - -function isNull(arg) { - return arg === null; -} -exports.isNull = isNull; - -function isNullOrUndefined(arg) { - return arg == null; -} -exports.isNullOrUndefined = isNullOrUndefined; - -function isNumber(arg) { - return typeof arg === 'number'; -} -exports.isNumber = isNumber; - -function isString(arg) { - return typeof arg === 'string'; -} -exports.isString = isString; - -function isSymbol(arg) { - return typeof arg === 'symbol'; -} -exports.isSymbol = isSymbol; - -function isUndefined(arg) { - return arg === void 0; -} -exports.isUndefined = isUndefined; - -function isRegExp(re) { - return isObject(re) && objectToString(re) === '[object RegExp]'; -} -exports.isRegExp = isRegExp; - -function isObject(arg) { - return typeof arg === 'object' && arg !== null; -} -exports.isObject = isObject; - -function isDate(d) { - return isObject(d) && objectToString(d) === '[object Date]'; -} -exports.isDate = isDate; - -function isError(e) { - return isObject(e) && - (objectToString(e) === '[object Error]' || e instanceof Error); -} -exports.isError = isError; - -function isFunction(arg) { - return typeof arg === 'function'; -} -exports.isFunction = isFunction; - -function isPrimitive(arg) { - return arg === null || - typeof arg === 'boolean' || - typeof arg === 'number' || - typeof arg === 'string' || - typeof arg === 'symbol' || // ES6 symbol - typeof arg === 'undefined'; -} -exports.isPrimitive = isPrimitive; - -exports.isBuffer = require('./support/isBuffer'); - -function objectToString(o) { - return Object.prototype.toString.call(o); -} - - -function pad(n) { - return n < 10 ? '0' + n.toString(10) : n.toString(10); -} - - -var months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', - 'Oct', 'Nov', 'Dec']; - -// 26 Feb 16:19:34 -function timestamp() { - var d = new Date(); - var time = [pad(d.getHours()), - pad(d.getMinutes()), - pad(d.getSeconds())].join(':'); - return [d.getDate(), months[d.getMonth()], time].join(' '); -} - - -// log is just a thin wrapper to console.log that prepends a timestamp -exports.log = function() { - console.log('%s - %s', timestamp(), exports.format.apply(exports, arguments)); -}; - - -/** - * Inherit the prototype methods from one constructor into another. - * - * The Function.prototype.inherits from lang.js rewritten as a standalone - * function (not on Function.prototype). NOTE: If this file is to be loaded - * during bootstrapping this function needs to be rewritten using some native - * functions as prototype setup using normal JavaScript does not work as - * expected during bootstrapping (see mirror.js in r114903). - * - * @param {function} ctor Constructor function which needs to inherit the - * prototype. - * @param {function} superCtor Constructor function to inherit prototype from. - */ -exports.inherits = require('inherits'); - -exports._extend = function(origin, add) { - // Don't do anything if add isn't an object - if (!add || !isObject(add)) return origin; - - var keys = Object.keys(add); - var i = keys.length; - while (i--) { - origin[keys[i]] = add[keys[i]]; - } - return origin; -}; - -function hasOwnProperty(obj, prop) { - return Object.prototype.hasOwnProperty.call(obj, prop); -} - -}).call(this,require('_process'),typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) -},{"./support/isBuffer":27,"_process":24,"inherits":26}],29:[function(require,module,exports){ -// Returns a wrapper function that returns a wrapped callback -// The wrapper function should do some stuff, and return a -// presumably different callback function. -// This makes sure that own properties are retained, so that -// decorations and such are not lost along the way. -module.exports = wrappy -function wrappy (fn, cb) { - if (fn && cb) return wrappy(fn)(cb) - - if (typeof fn !== 'function') - throw new TypeError('need wrapper function') - - Object.keys(fn).forEach(function (k) { - wrapper[k] = fn[k] - }) - - return wrapper - - function wrapper() { - var args = new Array(arguments.length) - for (var i = 0; i < args.length; i++) { - args[i] = arguments[i] - } - var ret = fn.apply(this, args) - var cb = args[args.length-1] - if (typeof ret === 'function' && ret !== cb) { - Object.keys(cb).forEach(function (k) { - ret[k] = cb[k] - }) - } - return ret - } -} - -},{}]},{},[7])(7) -}); \ No newline at end of file diff --git a/7.2/assets/javascripts/workers/search.2a1c317c.min.js b/7.2/assets/javascripts/workers/search.2a1c317c.min.js deleted file mode 100755 index 59bf8384..00000000 --- a/7.2/assets/javascripts/workers/search.2a1c317c.min.js +++ /dev/null @@ -1,48 +0,0 @@ -(()=>{var ge=Object.create;var W=Object.defineProperty,ye=Object.defineProperties,me=Object.getOwnPropertyDescriptor,ve=Object.getOwnPropertyDescriptors,xe=Object.getOwnPropertyNames,G=Object.getOwnPropertySymbols,Se=Object.getPrototypeOf,X=Object.prototype.hasOwnProperty,Qe=Object.prototype.propertyIsEnumerable;var J=(t,e,r)=>e in t?W(t,e,{enumerable:!0,configurable:!0,writable:!0,value:r}):t[e]=r,M=(t,e)=>{for(var r in e||(e={}))X.call(e,r)&&J(t,r,e[r]);if(G)for(var r of G(e))Qe.call(e,r)&&J(t,r,e[r]);return t},Z=(t,e)=>ye(t,ve(e));var K=(t,e)=>()=>(e||t((e={exports:{}}).exports,e),e.exports);var be=(t,e,r,n)=>{if(e&&typeof e=="object"||typeof e=="function")for(let i of xe(e))!X.call(t,i)&&i!==r&&W(t,i,{get:()=>e[i],enumerable:!(n=me(e,i))||n.enumerable});return t};var H=(t,e,r)=>(r=t!=null?ge(Se(t)):{},be(e||!t||!t.__esModule?W(r,"default",{value:t,enumerable:!0}):r,t));var z=(t,e,r)=>new Promise((n,i)=>{var s=u=>{try{a(r.next(u))}catch(c){i(c)}},o=u=>{try{a(r.throw(u))}catch(c){i(c)}},a=u=>u.done?n(u.value):Promise.resolve(u.value).then(s,o);a((r=r.apply(t,e)).next())});var re=K((ee,te)=>{/** - * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.9 - * Copyright (C) 2020 Oliver Nightingale - * @license MIT - */(function(){var t=function(e){var r=new t.Builder;return r.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),r.searchPipeline.add(t.stemmer),e.call(r,r),r.build()};t.version="2.3.9";/*! - * lunr.utils - * Copyright (C) 2020 Oliver Nightingale - */t.utils={},t.utils.warn=function(e){return function(r){e.console&&console.warn&&console.warn(r)}}(this),t.utils.asString=function(e){return e==null?"":e.toString()},t.utils.clone=function(e){if(e==null)return e;for(var r=Object.create(null),n=Object.keys(e),i=0;i0){var h=t.utils.clone(r)||{};h.position=[a,c],h.index=s.length,s.push(new t.Token(n.slice(a,o),h))}a=o+1}}return s},t.tokenizer.separator=/[\s\-]+/;/*! - * lunr.Pipeline - * Copyright (C) 2020 Oliver Nightingale - */t.Pipeline=function(){this._stack=[]},t.Pipeline.registeredFunctions=Object.create(null),t.Pipeline.registerFunction=function(e,r){r in this.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+r),e.label=r,t.Pipeline.registeredFunctions[e.label]=e},t.Pipeline.warnIfFunctionNotRegistered=function(e){var r=e.label&&e.label in this.registeredFunctions;r||t.utils.warn(`Function is not registered with pipeline. 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this.pos1&&(e.backup(),e.emit(t.QueryLexer.TERM)),e.ignore(),e.more())return t.QueryLexer.lexText},t.QueryLexer.lexEditDistance=function(e){return e.ignore(),e.acceptDigitRun(),e.emit(t.QueryLexer.EDIT_DISTANCE),t.QueryLexer.lexText},t.QueryLexer.lexBoost=function(e){return e.ignore(),e.acceptDigitRun(),e.emit(t.QueryLexer.BOOST),t.QueryLexer.lexText},t.QueryLexer.lexEOS=function(e){e.width()>0&&e.emit(t.QueryLexer.TERM)},t.QueryLexer.termSeparator=t.tokenizer.separator,t.QueryLexer.lexText=function(e){for(;;){var r=e.next();if(r==t.QueryLexer.EOS)return t.QueryLexer.lexEOS;if(r.charCodeAt(0)==92){e.escapeCharacter();continue}if(r==":")return t.QueryLexer.lexField;if(r=="~")return e.backup(),e.width()>0&&e.emit(t.QueryLexer.TERM),t.QueryLexer.lexEditDistance;if(r=="^")return e.backup(),e.width()>0&&e.emit(t.QueryLexer.TERM),t.QueryLexer.lexBoost;if(r=="+"&&e.width()===1||r=="-"&&e.width()===1)return e.emit(t.QueryLexer.PRESENCE),t.QueryLexer.lexText;if(r.match(t.QueryLexer.termSeparator))return t.QueryLexer.lexTerm}},t.QueryParser=function(e,r){this.lexer=new t.QueryLexer(e),this.query=r,this.currentClause={},this.lexemeIdx=0},t.QueryParser.prototype.parse=function(){this.lexer.run(),this.lexemes=this.lexer.lexemes;for(var e=t.QueryParser.parseClause;e;)e=e(this);return this.query},t.QueryParser.prototype.peekLexeme=function(){return this.lexemes[this.lexemeIdx]},t.QueryParser.prototype.consumeLexeme=function(){var e=this.peekLexeme();return this.lexemeIdx+=1,e},t.QueryParser.prototype.nextClause=function(){var e=this.currentClause;this.query.clause(e),this.currentClause={}},t.QueryParser.parseClause=function(e){var r=e.peekLexeme();if(r!=null)switch(r.type){case t.QueryLexer.PRESENCE:return t.QueryParser.parsePresence;case t.QueryLexer.FIELD:return t.QueryParser.parseField;case t.QueryLexer.TERM:return t.QueryParser.parseTerm;default:var n="expected either a field or a term, found "+r.type;throw r.str.length>=1&&(n+=" with value '"+r.str+"'"),new t.QueryParseError(n,r.start,r.end)}},t.QueryParser.parsePresence=function(e){var r=e.consumeLexeme();if(r!=null){switch(r.str){case"-":e.currentClause.presence=t.Query.presence.PROHIBITED;break;case"+":e.currentClause.presence=t.Query.presence.REQUIRED;break;default:var n="unrecognised presence operator'"+r.str+"'";throw new t.QueryParseError(n,r.start,r.end)}var i=e.peekLexeme();if(i==null){var n="expecting term or field, found nothing";throw new t.QueryParseError(n,r.start,r.end)}switch(i.type){case t.QueryLexer.FIELD:return t.QueryParser.parseField;case t.QueryLexer.TERM:return t.QueryParser.parseTerm;default:var n="expecting term or field, found '"+i.type+"'";throw new t.QueryParseError(n,i.start,i.end)}}},t.QueryParser.parseField=function(e){var r=e.consumeLexeme();if(r!=null){if(e.query.allFields.indexOf(r.str)==-1){var n=e.query.allFields.map(function(o){return"'"+o+"'"}).join(", "),i="unrecognised field '"+r.str+"', possible fields: "+n;throw new t.QueryParseError(i,r.start,r.end)}e.currentClause.fields=[r.str];var s=e.peekLexeme();if(s==null){var i="expecting term, found nothing";throw new t.QueryParseError(i,r.start,r.end)}switch(s.type){case t.QueryLexer.TERM:return t.QueryParser.parseTerm;default:var i="expecting term, found '"+s.type+"'";throw new t.QueryParseError(i,s.start,s.end)}}},t.QueryParser.parseTerm=function(e){var r=e.consumeLexeme();if(r!=null){e.currentClause.term=r.str.toLowerCase(),r.str.indexOf("*")!=-1&&(e.currentClause.usePipeline=!1);var n=e.peekLexeme();if(n==null){e.nextClause();return}switch(n.type){case t.QueryLexer.TERM:return e.nextClause(),t.QueryParser.parseTerm;case t.QueryLexer.FIELD:return e.nextClause(),t.QueryParser.parseField;case t.QueryLexer.EDIT_DISTANCE:return t.QueryParser.parseEditDistance;case t.QueryLexer.BOOST:return t.QueryParser.parseBoost;case t.QueryLexer.PRESENCE:return e.nextClause(),t.QueryParser.parsePresence;default:var i="Unexpected lexeme type '"+n.type+"'";throw new t.QueryParseError(i,n.start,n.end)}}},t.QueryParser.parseEditDistance=function(e){var r=e.consumeLexeme();if(r!=null){var n=parseInt(r.str,10);if(isNaN(n)){var i="edit distance must be numeric";throw new t.QueryParseError(i,r.start,r.end)}e.currentClause.editDistance=n;var s=e.peekLexeme();if(s==null){e.nextClause();return}switch(s.type){case t.QueryLexer.TERM:return e.nextClause(),t.QueryParser.parseTerm;case t.QueryLexer.FIELD:return e.nextClause(),t.QueryParser.parseField;case t.QueryLexer.EDIT_DISTANCE:return t.QueryParser.parseEditDistance;case t.QueryLexer.BOOST:return t.QueryParser.parseBoost;case t.QueryLexer.PRESENCE:return e.nextClause(),t.QueryParser.parsePresence;default:var i="Unexpected lexeme type '"+s.type+"'";throw new t.QueryParseError(i,s.start,s.end)}}},t.QueryParser.parseBoost=function(e){var r=e.consumeLexeme();if(r!=null){var n=parseInt(r.str,10);if(isNaN(n)){var i="boost must be numeric";throw new 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lunr.QueryParser(t,e).parse(),e.clauses}function ce(t,e){var i;let r=new Set(t),n={};for(let s=0;s!n.has(i)))]}var U=class{constructor({config:e,docs:r,options:n}){this.options=n,this.documents=se(r),this.highlight=ae(e,!1),lunr.tokenizer.separator=new RegExp(e.separator),this.index=lunr(function(){e.lang.length===1&&e.lang[0]!=="en"?this.use(lunr[e.lang[0]]):e.lang.length>1&&this.use(lunr.multiLanguage(...e.lang));let i=Ee(["trimmer","stopWordFilter","stemmer"],n.pipeline);for(let s of e.lang.map(o=>o==="en"?lunr:lunr[o]))for(let o of i)this.pipeline.remove(s[o]),this.searchPipeline.remove(s[o]);this.ref("location"),this.field("title",{boost:1e3}),this.field("text"),this.field("tags",{boost:1e6});for(let s of r)this.add(s)})}search(e){if(e)try{let r=this.highlight(e),n=ue(e).filter(o=>o.presence!==lunr.Query.presence.PROHIBITED),i=this.index.search(`${e}*`).reduce((o,{ref:a,score:u,matchData:c})=>{let h=this.documents.get(a);if(typeof h!="undefined"){let{location:y,title:g,text:b,tags:m,parent:Q}=h,p=ce(n,Object.keys(c.metadata)),d=+!Q+ +Object.values(p).every(w=>w);o.push(Z(M({location:y,title:r(g),text:r(b)},m&&{tags:m.map(r)}),{score:u*(1+d),terms:p}))}return o},[]).sort((o,a)=>a.score-o.score).reduce((o,a)=>{let u=this.documents.get(a.location);if(typeof u!="undefined"){let c="parent"in u?u.parent.location:u.location;o.set(c,[...o.get(c)||[],a])}return o},new Map),s;if(this.options.suggestions){let o=this.index.query(a=>{for(let u of n)a.term(u.term,{fields:["title"],presence:lunr.Query.presence.REQUIRED,wildcard:lunr.Query.wildcard.TRAILING})});s=o.length?Object.keys(o[0].matchData.metadata):[]}return M({items:[...i.values()]},typeof s!="undefined"&&{suggestions:s})}catch(r){console.warn(`Invalid query: ${e} \u2013 see https://bit.ly/2s3ChXG`)}return{items:[]}}};var Y;function ke(t){return z(this,null,function*(){let e="../lunr";if(typeof parent!="undefined"&&"IFrameWorker"in parent){let n=document.querySelector("script[src]"),[i]=n.src.split("/worker");e=e.replace("..",i)}let r=[];for(let n of t.lang){switch(n){case"ja":r.push(`${e}/tinyseg.js`);break;case"hi":case"th":r.push(`${e}/wordcut.js`);break}n!=="en"&&r.push(`${e}/min/lunr.${n}.min.js`)}t.lang.length>1&&r.push(`${e}/min/lunr.multi.min.js`),r.length&&(yield importScripts(`${e}/min/lunr.stemmer.support.min.js`,...r))})}function Te(t){return z(this,null,function*(){switch(t.type){case 0:return yield ke(t.data.config),Y=new U(t.data),{type:1};case 2:return{type:3,data:Y?Y.search(t.data):{items:[]}};default:throw new TypeError("Invalid message type")}})}self.lunr=le.default;addEventListener("message",t=>z(void 0,null,function*(){postMessage(yield Te(t.data))}));})(); -//# sourceMappingURL=search.2a1c317c.min.js.map - diff --git a/7.2/assets/javascripts/workers/search.2a1c317c.min.js.map b/7.2/assets/javascripts/workers/search.2a1c317c.min.js.map deleted file mode 100755 index 06d43304..00000000 --- a/7.2/assets/javascripts/workers/search.2a1c317c.min.js.map +++ /dev/null @@ -1,8 +0,0 @@ -{ - "version": 3, - "sources": ["node_modules/lunr/lunr.js", "node_modules/escape-html/index.js", "src/assets/javascripts/integrations/search/worker/main/index.ts", "src/assets/javascripts/polyfills/index.ts", "src/assets/javascripts/integrations/search/document/index.ts", "src/assets/javascripts/integrations/search/highlighter/index.ts", "src/assets/javascripts/integrations/search/query/_/index.ts", "src/assets/javascripts/integrations/search/_/index.ts"], - "sourceRoot": "../../../..", - "sourcesContent": ["/**\n * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.9\n * Copyright (C) 2020 Oliver Nightingale\n * @license MIT\n */\n\n;(function(){\n\n/**\n * A convenience function for configuring and constructing\n * a new lunr Index.\n *\n * A lunr.Builder instance is created and the pipeline setup\n * with a trimmer, stop word filter and stemmer.\n *\n * This builder object is yielded to the configuration function\n * that is passed as a parameter, allowing the list of fields\n * and other builder parameters to be customised.\n *\n * All documents _must_ be added within the passed config function.\n *\n * @example\n * var idx = lunr(function () {\n * this.field('title')\n * this.field('body')\n * this.ref('id')\n *\n * documents.forEach(function (doc) {\n * this.add(doc)\n * }, this)\n * })\n *\n * @see {@link lunr.Builder}\n * @see {@link lunr.Pipeline}\n * @see {@link lunr.trimmer}\n * @see {@link lunr.stopWordFilter}\n * @see {@link lunr.stemmer}\n * @namespace {function} lunr\n */\nvar lunr = function (config) {\n var builder = new lunr.Builder\n\n builder.pipeline.add(\n lunr.trimmer,\n lunr.stopWordFilter,\n lunr.stemmer\n )\n\n builder.searchPipeline.add(\n lunr.stemmer\n )\n\n config.call(builder, builder)\n return builder.build()\n}\n\nlunr.version = \"2.3.9\"\n/*!\n * lunr.utils\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A namespace containing utils for the rest of the lunr library\n * @namespace lunr.utils\n */\nlunr.utils = {}\n\n/**\n * Print a warning message to the console.\n *\n * @param {String} message The message to be printed.\n * @memberOf lunr.utils\n * @function\n */\nlunr.utils.warn = (function (global) {\n /* eslint-disable no-console */\n return function (message) {\n if (global.console && console.warn) {\n console.warn(message)\n }\n }\n /* eslint-enable no-console */\n})(this)\n\n/**\n * Convert an object to a string.\n *\n * In the case of `null` and `undefined` the function returns\n * the empty string, in all other cases the result of calling\n * `toString` on the passed object is returned.\n *\n * @param {Any} obj The object to convert to a string.\n * @return {String} string representation of the passed object.\n * @memberOf lunr.utils\n */\nlunr.utils.asString = function (obj) {\n if (obj === void 0 || obj === null) {\n return \"\"\n } else {\n return obj.toString()\n }\n}\n\n/**\n * Clones an object.\n *\n * Will create a copy of an existing object such that any mutations\n * on the copy cannot affect the original.\n *\n * Only shallow objects are supported, passing a nested object to this\n * function will cause a TypeError.\n *\n * Objects with primitives, and arrays of primitives are supported.\n *\n * @param {Object} obj The object to clone.\n * @return {Object} a clone of the passed object.\n * @throws {TypeError} when a nested object is passed.\n * @memberOf Utils\n */\nlunr.utils.clone = function (obj) {\n if (obj === null || obj === undefined) {\n return obj\n }\n\n var clone = Object.create(null),\n keys = Object.keys(obj)\n\n for (var i = 0; i < keys.length; i++) {\n var key = keys[i],\n val = obj[key]\n\n if (Array.isArray(val)) {\n clone[key] = val.slice()\n continue\n }\n\n if (typeof val === 'string' ||\n typeof val === 'number' ||\n typeof val === 'boolean') {\n clone[key] = val\n continue\n }\n\n throw new TypeError(\"clone is not deep and does not support nested objects\")\n }\n\n return clone\n}\nlunr.FieldRef = function (docRef, fieldName, stringValue) {\n this.docRef = docRef\n this.fieldName = fieldName\n this._stringValue = stringValue\n}\n\nlunr.FieldRef.joiner = \"/\"\n\nlunr.FieldRef.fromString = function (s) {\n var n = s.indexOf(lunr.FieldRef.joiner)\n\n if (n === -1) {\n throw \"malformed field ref string\"\n }\n\n var fieldRef = s.slice(0, n),\n docRef = s.slice(n + 1)\n\n return new lunr.FieldRef (docRef, fieldRef, s)\n}\n\nlunr.FieldRef.prototype.toString = function () {\n if (this._stringValue == undefined) {\n this._stringValue = this.fieldName + lunr.FieldRef.joiner + this.docRef\n }\n\n return this._stringValue\n}\n/*!\n * lunr.Set\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A lunr set.\n *\n * @constructor\n */\nlunr.Set = function (elements) {\n this.elements = Object.create(null)\n\n if (elements) {\n this.length = elements.length\n\n for (var i = 0; i < this.length; i++) {\n this.elements[elements[i]] = true\n }\n } else {\n this.length = 0\n }\n}\n\n/**\n * A complete set that contains all elements.\n *\n * @static\n * @readonly\n * @type {lunr.Set}\n */\nlunr.Set.complete = {\n intersect: function (other) {\n return other\n },\n\n union: function () {\n return this\n },\n\n contains: function () {\n return true\n }\n}\n\n/**\n * An empty set that contains no elements.\n *\n * @static\n * @readonly\n * @type {lunr.Set}\n */\nlunr.Set.empty = {\n intersect: function () {\n return this\n },\n\n union: function (other) {\n return other\n },\n\n contains: function () {\n return false\n }\n}\n\n/**\n * Returns true if this set contains the specified object.\n *\n * @param {object} object - Object whose presence in this set is to be tested.\n * @returns {boolean} - True if this set contains the specified object.\n */\nlunr.Set.prototype.contains = function (object) {\n return !!this.elements[object]\n}\n\n/**\n * Returns a new set containing only the elements that are present in both\n * this set and the specified set.\n *\n * @param {lunr.Set} other - set to intersect with this set.\n * @returns {lunr.Set} a new set that is the intersection of this and the specified set.\n */\n\nlunr.Set.prototype.intersect = function (other) {\n var a, b, elements, intersection = []\n\n if (other === lunr.Set.complete) {\n return this\n }\n\n if (other === lunr.Set.empty) {\n return other\n }\n\n if (this.length < other.length) {\n a = this\n b = other\n } else {\n a = other\n b = this\n }\n\n elements = Object.keys(a.elements)\n\n for (var i = 0; i < elements.length; i++) {\n var element = elements[i]\n if (element in b.elements) {\n intersection.push(element)\n }\n }\n\n return new lunr.Set (intersection)\n}\n\n/**\n * Returns a new set combining the elements of this and the specified set.\n *\n * @param {lunr.Set} other - set to union with this set.\n * @return {lunr.Set} a new set that is the union of this and the specified set.\n */\n\nlunr.Set.prototype.union = function (other) {\n if (other === lunr.Set.complete) {\n return lunr.Set.complete\n }\n\n if (other === lunr.Set.empty) {\n return this\n }\n\n return new lunr.Set(Object.keys(this.elements).concat(Object.keys(other.elements)))\n}\n/**\n * A function to calculate the inverse document frequency for\n * a posting. This is shared between the builder and the index\n *\n * @private\n * @param {object} posting - The posting for a given term\n * @param {number} documentCount - The total number of documents.\n */\nlunr.idf = function (posting, documentCount) {\n var documentsWithTerm = 0\n\n for (var fieldName in posting) {\n if (fieldName == '_index') continue // Ignore the term index, its not a field\n documentsWithTerm += Object.keys(posting[fieldName]).length\n }\n\n var x = (documentCount - documentsWithTerm + 0.5) / (documentsWithTerm + 0.5)\n\n return Math.log(1 + Math.abs(x))\n}\n\n/**\n * A token wraps a string representation of a token\n * as it is passed through the text processing pipeline.\n *\n * @constructor\n * @param {string} [str=''] - The string token being wrapped.\n * @param {object} [metadata={}] - Metadata associated with this token.\n */\nlunr.Token = function (str, metadata) {\n this.str = str || \"\"\n this.metadata = metadata || {}\n}\n\n/**\n * Returns the token string that is being wrapped by this object.\n *\n * @returns {string}\n */\nlunr.Token.prototype.toString = function () {\n return this.str\n}\n\n/**\n * A token update function is used when updating or optionally\n * when cloning a token.\n *\n * @callback lunr.Token~updateFunction\n * @param {string} str - The string representation of the token.\n * @param {Object} metadata - All metadata associated with this token.\n */\n\n/**\n * Applies the given function to the wrapped string token.\n *\n * @example\n * token.update(function (str, metadata) {\n * return str.toUpperCase()\n * })\n *\n * @param {lunr.Token~updateFunction} fn - A function to apply to the token string.\n * @returns {lunr.Token}\n */\nlunr.Token.prototype.update = function (fn) {\n this.str = fn(this.str, this.metadata)\n return this\n}\n\n/**\n * Creates a clone of this token. Optionally a function can be\n * applied to the cloned token.\n *\n * @param {lunr.Token~updateFunction} [fn] - An optional function to apply to the cloned token.\n * @returns {lunr.Token}\n */\nlunr.Token.prototype.clone = function (fn) {\n fn = fn || function (s) { return s }\n return new lunr.Token (fn(this.str, this.metadata), this.metadata)\n}\n/*!\n * lunr.tokenizer\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A function for splitting a string into tokens ready to be inserted into\n * the search index. Uses `lunr.tokenizer.separator` to split strings, change\n * the value of this property to change how strings are split into tokens.\n *\n * This tokenizer will convert its parameter to a string by calling `toString` and\n * then will split this string on the character in `lunr.tokenizer.separator`.\n * Arrays will have their elements converted to strings and wrapped in a lunr.Token.\n *\n * Optional metadata can be passed to the tokenizer, this metadata will be cloned and\n * added as metadata to every token that is created from the object to be tokenized.\n *\n * @static\n * @param {?(string|object|object[])} obj - The object to convert into tokens\n * @param {?object} metadata - Optional metadata to associate with every token\n * @returns {lunr.Token[]}\n * @see {@link lunr.Pipeline}\n */\nlunr.tokenizer = function (obj, metadata) {\n if (obj == null || obj == undefined) {\n return []\n }\n\n if (Array.isArray(obj)) {\n return obj.map(function (t) {\n return new lunr.Token(\n lunr.utils.asString(t).toLowerCase(),\n lunr.utils.clone(metadata)\n )\n })\n }\n\n var str = obj.toString().toLowerCase(),\n len = str.length,\n tokens = []\n\n for (var sliceEnd = 0, sliceStart = 0; sliceEnd <= len; sliceEnd++) {\n var char = str.charAt(sliceEnd),\n sliceLength = sliceEnd - sliceStart\n\n if ((char.match(lunr.tokenizer.separator) || sliceEnd == len)) {\n\n if (sliceLength > 0) {\n var tokenMetadata = lunr.utils.clone(metadata) || {}\n tokenMetadata[\"position\"] = [sliceStart, sliceLength]\n tokenMetadata[\"index\"] = tokens.length\n\n tokens.push(\n new lunr.Token (\n str.slice(sliceStart, sliceEnd),\n tokenMetadata\n )\n )\n }\n\n sliceStart = sliceEnd + 1\n }\n\n }\n\n return tokens\n}\n\n/**\n * The separator used to split a string into tokens. Override this property to change the behaviour of\n * `lunr.tokenizer` behaviour when tokenizing strings. By default this splits on whitespace and hyphens.\n *\n * @static\n * @see lunr.tokenizer\n */\nlunr.tokenizer.separator = /[\\s\\-]+/\n/*!\n * lunr.Pipeline\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.Pipelines maintain an ordered list of functions to be applied to all\n * tokens in documents entering the search index and queries being ran against\n * the index.\n *\n * An instance of lunr.Index created with the lunr shortcut will contain a\n * pipeline with a stop word filter and an English language stemmer. Extra\n * functions can be added before or after either of these functions or these\n * default functions can be removed.\n *\n * When run the pipeline will call each function in turn, passing a token, the\n * index of that token in the original list of all tokens and finally a list of\n * all the original tokens.\n *\n * The output of functions in the pipeline will be passed to the next function\n * in the pipeline. To exclude a token from entering the index the function\n * should return undefined, the rest of the pipeline will not be called with\n * this token.\n *\n * For serialisation of pipelines to work, all functions used in an instance of\n * a pipeline should be registered with lunr.Pipeline. Registered functions can\n * then be loaded. If trying to load a serialised pipeline that uses functions\n * that are not registered an error will be thrown.\n *\n * If not planning on serialising the pipeline then registering pipeline functions\n * is not necessary.\n *\n * @constructor\n */\nlunr.Pipeline = function () {\n this._stack = []\n}\n\nlunr.Pipeline.registeredFunctions = Object.create(null)\n\n/**\n * A pipeline function maps lunr.Token to lunr.Token. A lunr.Token contains the token\n * string as well as all known metadata. A pipeline function can mutate the token string\n * or mutate (or add) metadata for a given token.\n *\n * A pipeline function can indicate that the passed token should be discarded by returning\n * null, undefined or an empty string. This token will not be passed to any downstream pipeline\n * functions and will not be added to the index.\n *\n * Multiple tokens can be returned by returning an array of tokens. Each token will be passed\n * to any downstream pipeline functions and all will returned tokens will be added to the index.\n *\n * Any number of pipeline functions may be chained together using a lunr.Pipeline.\n *\n * @interface lunr.PipelineFunction\n * @param {lunr.Token} token - A token from the document being processed.\n * @param {number} i - The index of this token in the complete list of tokens for this document/field.\n * @param {lunr.Token[]} tokens - All tokens for this document/field.\n * @returns {(?lunr.Token|lunr.Token[])}\n */\n\n/**\n * Register a function with the pipeline.\n *\n * Functions that are used in the pipeline should be registered if the pipeline\n * needs to be serialised, or a serialised pipeline needs to be loaded.\n *\n * Registering a function does not add it to a pipeline, functions must still be\n * added to instances of the pipeline for them to be used when running a pipeline.\n *\n * @param {lunr.PipelineFunction} fn - The function to check for.\n * @param {String} label - The label to register this function with\n */\nlunr.Pipeline.registerFunction = function (fn, label) {\n if (label in this.registeredFunctions) {\n lunr.utils.warn('Overwriting existing registered function: ' + label)\n }\n\n fn.label = label\n lunr.Pipeline.registeredFunctions[fn.label] = fn\n}\n\n/**\n * Warns if the function is not registered as a Pipeline function.\n *\n * @param {lunr.PipelineFunction} fn - The function to check for.\n * @private\n */\nlunr.Pipeline.warnIfFunctionNotRegistered = function (fn) {\n var isRegistered = fn.label && (fn.label in this.registeredFunctions)\n\n if (!isRegistered) {\n lunr.utils.warn('Function is not registered with pipeline. This may cause problems when serialising the index.\\n', fn)\n }\n}\n\n/**\n * Loads a previously serialised pipeline.\n *\n * All functions to be loaded must already be registered with lunr.Pipeline.\n * If any function from the serialised data has not been registered then an\n * error will be thrown.\n *\n * @param {Object} serialised - The serialised pipeline to load.\n * @returns {lunr.Pipeline}\n */\nlunr.Pipeline.load = function (serialised) {\n var pipeline = new lunr.Pipeline\n\n serialised.forEach(function (fnName) {\n var fn = lunr.Pipeline.registeredFunctions[fnName]\n\n if (fn) {\n pipeline.add(fn)\n } else {\n throw new Error('Cannot load unregistered function: ' + fnName)\n }\n })\n\n return pipeline\n}\n\n/**\n * Adds new functions to the end of the pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction[]} functions - Any number of functions to add to the pipeline.\n */\nlunr.Pipeline.prototype.add = function () {\n var fns = Array.prototype.slice.call(arguments)\n\n fns.forEach(function (fn) {\n lunr.Pipeline.warnIfFunctionNotRegistered(fn)\n this._stack.push(fn)\n }, this)\n}\n\n/**\n * Adds a single function after a function that already exists in the\n * pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline.\n * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline.\n */\nlunr.Pipeline.prototype.after = function (existingFn, newFn) {\n lunr.Pipeline.warnIfFunctionNotRegistered(newFn)\n\n var pos = this._stack.indexOf(existingFn)\n if (pos == -1) {\n throw new Error('Cannot find existingFn')\n }\n\n pos = pos + 1\n this._stack.splice(pos, 0, newFn)\n}\n\n/**\n * Adds a single function before a function that already exists in the\n * pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline.\n * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline.\n */\nlunr.Pipeline.prototype.before = function (existingFn, newFn) {\n lunr.Pipeline.warnIfFunctionNotRegistered(newFn)\n\n var pos = this._stack.indexOf(existingFn)\n if (pos == -1) {\n throw new Error('Cannot find existingFn')\n }\n\n this._stack.splice(pos, 0, newFn)\n}\n\n/**\n * Removes a function from the pipeline.\n *\n * @param {lunr.PipelineFunction} fn The function to remove from the pipeline.\n */\nlunr.Pipeline.prototype.remove = function (fn) {\n var pos = this._stack.indexOf(fn)\n if (pos == -1) {\n return\n }\n\n this._stack.splice(pos, 1)\n}\n\n/**\n * Runs the current list of functions that make up the pipeline against the\n * passed tokens.\n *\n * @param {Array} tokens The tokens to run through the pipeline.\n * @returns {Array}\n */\nlunr.Pipeline.prototype.run = function (tokens) {\n var stackLength = this._stack.length\n\n for (var i = 0; i < stackLength; i++) {\n var fn = this._stack[i]\n var memo = []\n\n for (var j = 0; j < tokens.length; j++) {\n var result = fn(tokens[j], j, tokens)\n\n if (result === null || result === void 0 || result === '') continue\n\n if (Array.isArray(result)) {\n for (var k = 0; k < result.length; k++) {\n memo.push(result[k])\n }\n } else {\n memo.push(result)\n }\n }\n\n tokens = memo\n }\n\n return tokens\n}\n\n/**\n * Convenience method for passing a string through a pipeline and getting\n * strings out. This method takes care of wrapping the passed string in a\n * token and mapping the resulting tokens back to strings.\n *\n * @param {string} str - The string to pass through the pipeline.\n * @param {?object} metadata - Optional metadata to associate with the token\n * passed to the pipeline.\n * @returns {string[]}\n */\nlunr.Pipeline.prototype.runString = function (str, metadata) {\n var token = new lunr.Token (str, metadata)\n\n return this.run([token]).map(function (t) {\n return t.toString()\n })\n}\n\n/**\n * Resets the pipeline by removing any existing processors.\n *\n */\nlunr.Pipeline.prototype.reset = function () {\n this._stack = []\n}\n\n/**\n * Returns a representation of the pipeline ready for serialisation.\n *\n * Logs a warning if the function has not been registered.\n *\n * @returns {Array}\n */\nlunr.Pipeline.prototype.toJSON = function () {\n return this._stack.map(function (fn) {\n lunr.Pipeline.warnIfFunctionNotRegistered(fn)\n\n return fn.label\n })\n}\n/*!\n * lunr.Vector\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A vector is used to construct the vector space of documents and queries. These\n * vectors support operations to determine the similarity between two documents or\n * a document and a query.\n *\n * Normally no parameters are required for initializing a vector, but in the case of\n * loading a previously dumped vector the raw elements can be provided to the constructor.\n *\n * For performance reasons vectors are implemented with a flat array, where an elements\n * index is immediately followed by its value. E.g. [index, value, index, value]. This\n * allows the underlying array to be as sparse as possible and still offer decent\n * performance when being used for vector calculations.\n *\n * @constructor\n * @param {Number[]} [elements] - The flat list of element index and element value pairs.\n */\nlunr.Vector = function (elements) {\n this._magnitude = 0\n this.elements = elements || []\n}\n\n\n/**\n * Calculates the position within the vector to insert a given index.\n *\n * This is used internally by insert and upsert. If there are duplicate indexes then\n * the position is returned as if the value for that index were to be updated, but it\n * is the callers responsibility to check whether there is a duplicate at that index\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @returns {Number}\n */\nlunr.Vector.prototype.positionForIndex = function (index) {\n // For an empty vector the tuple can be inserted at the beginning\n if (this.elements.length == 0) {\n return 0\n }\n\n var start = 0,\n end = this.elements.length / 2,\n sliceLength = end - start,\n pivotPoint = Math.floor(sliceLength / 2),\n pivotIndex = this.elements[pivotPoint * 2]\n\n while (sliceLength > 1) {\n if (pivotIndex < index) {\n start = pivotPoint\n }\n\n if (pivotIndex > index) {\n end = pivotPoint\n }\n\n if (pivotIndex == index) {\n break\n }\n\n sliceLength = end - start\n pivotPoint = start + Math.floor(sliceLength / 2)\n pivotIndex = this.elements[pivotPoint * 2]\n }\n\n if (pivotIndex == index) {\n return pivotPoint * 2\n }\n\n if (pivotIndex > index) {\n return pivotPoint * 2\n }\n\n if (pivotIndex < index) {\n return (pivotPoint + 1) * 2\n }\n}\n\n/**\n * Inserts an element at an index within the vector.\n *\n * Does not allow duplicates, will throw an error if there is already an entry\n * for this index.\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @param {Number} val - The value to be inserted into the vector.\n */\nlunr.Vector.prototype.insert = function (insertIdx, val) {\n this.upsert(insertIdx, val, function () {\n throw \"duplicate index\"\n })\n}\n\n/**\n * Inserts or updates an existing index within the vector.\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @param {Number} val - The value to be inserted into the vector.\n * @param {function} fn - A function that is called for updates, the existing value and the\n * requested value are passed as arguments\n */\nlunr.Vector.prototype.upsert = function (insertIdx, val, fn) {\n this._magnitude = 0\n var position = this.positionForIndex(insertIdx)\n\n if (this.elements[position] == insertIdx) {\n this.elements[position + 1] = fn(this.elements[position + 1], val)\n } else {\n this.elements.splice(position, 0, insertIdx, val)\n }\n}\n\n/**\n * Calculates the magnitude of this vector.\n *\n * @returns {Number}\n */\nlunr.Vector.prototype.magnitude = function () {\n if (this._magnitude) return this._magnitude\n\n var sumOfSquares = 0,\n elementsLength = this.elements.length\n\n for (var i = 1; i < elementsLength; i += 2) {\n var val = this.elements[i]\n sumOfSquares += val * val\n }\n\n return this._magnitude = Math.sqrt(sumOfSquares)\n}\n\n/**\n * Calculates the dot product of this vector and another vector.\n *\n * @param {lunr.Vector} otherVector - The vector to compute the dot product with.\n * @returns {Number}\n */\nlunr.Vector.prototype.dot = function (otherVector) {\n var dotProduct = 0,\n a = this.elements, b = otherVector.elements,\n aLen = a.length, bLen = b.length,\n aVal = 0, bVal = 0,\n i = 0, j = 0\n\n while (i < aLen && j < bLen) {\n aVal = a[i], bVal = b[j]\n if (aVal < bVal) {\n i += 2\n } else if (aVal > bVal) {\n j += 2\n } else if (aVal == bVal) {\n dotProduct += a[i + 1] * b[j + 1]\n i += 2\n j += 2\n }\n }\n\n return dotProduct\n}\n\n/**\n * Calculates the similarity between this vector and another vector.\n *\n * @param {lunr.Vector} otherVector - The other vector to calculate the\n * similarity with.\n * @returns {Number}\n */\nlunr.Vector.prototype.similarity = function (otherVector) {\n return this.dot(otherVector) / this.magnitude() || 0\n}\n\n/**\n * Converts the vector to an array of the elements within the vector.\n *\n * @returns {Number[]}\n */\nlunr.Vector.prototype.toArray = function () {\n var output = new Array (this.elements.length / 2)\n\n for (var i = 1, j = 0; i < this.elements.length; i += 2, j++) {\n output[j] = this.elements[i]\n }\n\n return output\n}\n\n/**\n * A JSON serializable representation of the vector.\n *\n * @returns {Number[]}\n */\nlunr.Vector.prototype.toJSON = function () {\n return this.elements\n}\n/* eslint-disable */\n/*!\n * lunr.stemmer\n * Copyright (C) 2020 Oliver Nightingale\n * Includes code from - http://tartarus.org/~martin/PorterStemmer/js.txt\n */\n\n/**\n * lunr.stemmer is an english language stemmer, this is a JavaScript\n * implementation of the PorterStemmer taken from http://tartarus.org/~martin\n *\n * @static\n * @implements {lunr.PipelineFunction}\n * @param {lunr.Token} token - The string to stem\n * @returns {lunr.Token}\n * @see {@link lunr.Pipeline}\n * @function\n */\nlunr.stemmer = (function(){\n var step2list = {\n \"ational\" : \"ate\",\n \"tional\" : \"tion\",\n \"enci\" : \"ence\",\n \"anci\" : \"ance\",\n \"izer\" : \"ize\",\n \"bli\" : \"ble\",\n \"alli\" : \"al\",\n \"entli\" : \"ent\",\n \"eli\" : \"e\",\n \"ousli\" : \"ous\",\n \"ization\" : \"ize\",\n \"ation\" : \"ate\",\n \"ator\" : \"ate\",\n \"alism\" : \"al\",\n \"iveness\" : \"ive\",\n \"fulness\" : \"ful\",\n \"ousness\" : \"ous\",\n \"aliti\" : \"al\",\n \"iviti\" : \"ive\",\n \"biliti\" : \"ble\",\n \"logi\" : \"log\"\n },\n\n step3list = {\n \"icate\" : \"ic\",\n \"ative\" : \"\",\n \"alize\" : \"al\",\n \"iciti\" : \"ic\",\n \"ical\" : \"ic\",\n \"ful\" : \"\",\n \"ness\" : \"\"\n },\n\n c = \"[^aeiou]\", // consonant\n v = \"[aeiouy]\", // vowel\n C = c + \"[^aeiouy]*\", // consonant sequence\n V = v + \"[aeiou]*\", // vowel sequence\n\n mgr0 = \"^(\" + C + \")?\" + V + C, // [C]VC... is m>0\n meq1 = \"^(\" + C + \")?\" + V + C + \"(\" + V + \")?$\", // [C]VC[V] is m=1\n mgr1 = \"^(\" + C + \")?\" + V + C + V + C, // [C]VCVC... is m>1\n s_v = \"^(\" + C + \")?\" + v; // vowel in stem\n\n var re_mgr0 = new RegExp(mgr0);\n var re_mgr1 = new RegExp(mgr1);\n var re_meq1 = new RegExp(meq1);\n var re_s_v = new RegExp(s_v);\n\n var re_1a = /^(.+?)(ss|i)es$/;\n var re2_1a = /^(.+?)([^s])s$/;\n var re_1b = /^(.+?)eed$/;\n var re2_1b = /^(.+?)(ed|ing)$/;\n var re_1b_2 = /.$/;\n var re2_1b_2 = /(at|bl|iz)$/;\n var re3_1b_2 = new RegExp(\"([^aeiouylsz])\\\\1$\");\n var re4_1b_2 = new RegExp(\"^\" + C + v + \"[^aeiouwxy]$\");\n\n var re_1c = /^(.+?[^aeiou])y$/;\n var re_2 = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;\n\n var re_3 = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;\n\n var re_4 = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;\n var re2_4 = /^(.+?)(s|t)(ion)$/;\n\n var re_5 = /^(.+?)e$/;\n var re_5_1 = /ll$/;\n var re3_5 = new RegExp(\"^\" + C + v + \"[^aeiouwxy]$\");\n\n var porterStemmer = function porterStemmer(w) {\n var stem,\n suffix,\n firstch,\n re,\n re2,\n re3,\n re4;\n\n if (w.length < 3) { return w; }\n\n firstch = w.substr(0,1);\n if (firstch == \"y\") {\n w = firstch.toUpperCase() + w.substr(1);\n }\n\n // Step 1a\n re = re_1a\n re2 = re2_1a;\n\n if (re.test(w)) { w = w.replace(re,\"$1$2\"); }\n else if (re2.test(w)) { w = w.replace(re2,\"$1$2\"); }\n\n // Step 1b\n re = re_1b;\n re2 = re2_1b;\n if (re.test(w)) {\n var fp = re.exec(w);\n re = re_mgr0;\n if (re.test(fp[1])) {\n re = re_1b_2;\n w = w.replace(re,\"\");\n }\n } else if (re2.test(w)) {\n var fp = re2.exec(w);\n stem = fp[1];\n re2 = re_s_v;\n if (re2.test(stem)) {\n w = stem;\n re2 = re2_1b_2;\n re3 = re3_1b_2;\n re4 = re4_1b_2;\n if (re2.test(w)) { w = w + \"e\"; }\n else if (re3.test(w)) { re = re_1b_2; w = w.replace(re,\"\"); }\n else if (re4.test(w)) { w = w + \"e\"; }\n }\n }\n\n // Step 1c - replace suffix y or Y by i if preceded by a non-vowel which is not the first letter of the word (so cry -> cri, by -> by, say -> say)\n re = re_1c;\n if (re.test(w)) {\n var fp = re.exec(w);\n stem = fp[1];\n w = stem + \"i\";\n }\n\n // Step 2\n re = re_2;\n if (re.test(w)) {\n var fp = re.exec(w);\n stem = fp[1];\n suffix = fp[2];\n re = re_mgr0;\n if (re.test(stem)) {\n w = stem + step2list[suffix];\n }\n }\n\n // Step 3\n re = re_3;\n if (re.test(w)) {\n var fp = re.exec(w);\n stem = fp[1];\n suffix = fp[2];\n re = re_mgr0;\n if (re.test(stem)) {\n w = stem + step3list[suffix];\n }\n }\n\n // Step 4\n re = re_4;\n re2 = re2_4;\n if (re.test(w)) {\n var fp = re.exec(w);\n stem = fp[1];\n re = re_mgr1;\n if (re.test(stem)) {\n w = stem;\n }\n } else if (re2.test(w)) {\n var fp = re2.exec(w);\n stem = fp[1] + fp[2];\n re2 = re_mgr1;\n if (re2.test(stem)) {\n w = stem;\n }\n }\n\n // Step 5\n re = re_5;\n if (re.test(w)) {\n var fp = re.exec(w);\n stem = fp[1];\n re = re_mgr1;\n re2 = re_meq1;\n re3 = re3_5;\n if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) {\n w = stem;\n }\n }\n\n re = re_5_1;\n re2 = re_mgr1;\n if (re.test(w) && re2.test(w)) {\n re = re_1b_2;\n w = w.replace(re,\"\");\n }\n\n // and turn initial Y back to y\n\n if (firstch == \"y\") {\n w = firstch.toLowerCase() + w.substr(1);\n }\n\n return w;\n };\n\n return function (token) {\n return token.update(porterStemmer);\n }\n})();\n\nlunr.Pipeline.registerFunction(lunr.stemmer, 'stemmer')\n/*!\n * lunr.stopWordFilter\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.generateStopWordFilter builds a stopWordFilter function from the provided\n * list of stop words.\n *\n * The built in lunr.stopWordFilter is built using this generator and can be used\n * to generate custom stopWordFilters for applications or non English languages.\n *\n * @function\n * @param {Array} token The token to pass through the filter\n * @returns {lunr.PipelineFunction}\n * @see lunr.Pipeline\n * @see lunr.stopWordFilter\n */\nlunr.generateStopWordFilter = function (stopWords) {\n var words = stopWords.reduce(function (memo, stopWord) {\n memo[stopWord] = stopWord\n return memo\n }, {})\n\n return function (token) {\n if (token && words[token.toString()] !== token.toString()) return token\n }\n}\n\n/**\n * lunr.stopWordFilter is an English language stop word list filter, any words\n * contained in the list will not be passed through the filter.\n *\n * This is intended to be used in the Pipeline. If the token does not pass the\n * filter then undefined will be returned.\n *\n * @function\n * @implements {lunr.PipelineFunction}\n * @params {lunr.Token} token - A token to check for being a stop word.\n * @returns {lunr.Token}\n * @see {@link lunr.Pipeline}\n */\nlunr.stopWordFilter = lunr.generateStopWordFilter([\n 'a',\n 'able',\n 'about',\n 'across',\n 'after',\n 'all',\n 'almost',\n 'also',\n 'am',\n 'among',\n 'an',\n 'and',\n 'any',\n 'are',\n 'as',\n 'at',\n 'be',\n 'because',\n 'been',\n 'but',\n 'by',\n 'can',\n 'cannot',\n 'could',\n 'dear',\n 'did',\n 'do',\n 'does',\n 'either',\n 'else',\n 'ever',\n 'every',\n 'for',\n 'from',\n 'get',\n 'got',\n 'had',\n 'has',\n 'have',\n 'he',\n 'her',\n 'hers',\n 'him',\n 'his',\n 'how',\n 'however',\n 'i',\n 'if',\n 'in',\n 'into',\n 'is',\n 'it',\n 'its',\n 'just',\n 'least',\n 'let',\n 'like',\n 'likely',\n 'may',\n 'me',\n 'might',\n 'most',\n 'must',\n 'my',\n 'neither',\n 'no',\n 'nor',\n 'not',\n 'of',\n 'off',\n 'often',\n 'on',\n 'only',\n 'or',\n 'other',\n 'our',\n 'own',\n 'rather',\n 'said',\n 'say',\n 'says',\n 'she',\n 'should',\n 'since',\n 'so',\n 'some',\n 'than',\n 'that',\n 'the',\n 'their',\n 'them',\n 'then',\n 'there',\n 'these',\n 'they',\n 'this',\n 'tis',\n 'to',\n 'too',\n 'twas',\n 'us',\n 'wants',\n 'was',\n 'we',\n 'were',\n 'what',\n 'when',\n 'where',\n 'which',\n 'while',\n 'who',\n 'whom',\n 'why',\n 'will',\n 'with',\n 'would',\n 'yet',\n 'you',\n 'your'\n])\n\nlunr.Pipeline.registerFunction(lunr.stopWordFilter, 'stopWordFilter')\n/*!\n * lunr.trimmer\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.trimmer is a pipeline function for trimming non word\n * characters from the beginning and end of tokens before they\n * enter the index.\n *\n * This implementation may not work correctly for non latin\n * characters and should either be removed or adapted for use\n * with languages with non-latin characters.\n *\n * @static\n * @implements {lunr.PipelineFunction}\n * @param {lunr.Token} token The token to pass through the filter\n * @returns {lunr.Token}\n * @see lunr.Pipeline\n */\nlunr.trimmer = function (token) {\n return token.update(function (s) {\n return s.replace(/^\\W+/, '').replace(/\\W+$/, '')\n })\n}\n\nlunr.Pipeline.registerFunction(lunr.trimmer, 'trimmer')\n/*!\n * lunr.TokenSet\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A token set is used to store the unique list of all tokens\n * within an index. Token sets are also used to represent an\n * incoming query to the index, this query token set and index\n * token set are then intersected to find which tokens to look\n * up in the inverted index.\n *\n * A token set can hold multiple tokens, as in the case of the\n * index token set, or it can hold a single token as in the\n * case of a simple query token set.\n *\n * Additionally token sets are used to perform wildcard matching.\n * Leading, contained and trailing wildcards are supported, and\n * from this edit distance matching can also be provided.\n *\n * Token sets are implemented as a minimal finite state automata,\n * where both common prefixes and suffixes are shared between tokens.\n * This helps to reduce the space used for storing the token set.\n *\n * @constructor\n */\nlunr.TokenSet = function () {\n this.final = false\n this.edges = {}\n this.id = lunr.TokenSet._nextId\n lunr.TokenSet._nextId += 1\n}\n\n/**\n * Keeps track of the next, auto increment, identifier to assign\n * to a new tokenSet.\n *\n * TokenSets require a unique identifier to be correctly minimised.\n *\n * @private\n */\nlunr.TokenSet._nextId = 1\n\n/**\n * Creates a TokenSet instance from the given sorted array of words.\n *\n * @param {String[]} arr - A sorted array of strings to create the set from.\n * @returns {lunr.TokenSet}\n * @throws Will throw an error if the input array is not sorted.\n */\nlunr.TokenSet.fromArray = function (arr) {\n var builder = new lunr.TokenSet.Builder\n\n for (var i = 0, len = arr.length; i < len; i++) {\n builder.insert(arr[i])\n }\n\n builder.finish()\n return builder.root\n}\n\n/**\n * Creates a token set from a query clause.\n *\n * @private\n * @param {Object} clause - A single clause from lunr.Query.\n * @param {string} clause.term - The query clause term.\n * @param {number} [clause.editDistance] - The optional edit distance for the term.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.fromClause = function (clause) {\n if ('editDistance' in clause) {\n return lunr.TokenSet.fromFuzzyString(clause.term, clause.editDistance)\n } else {\n return lunr.TokenSet.fromString(clause.term)\n }\n}\n\n/**\n * Creates a token set representing a single string with a specified\n * edit distance.\n *\n * Insertions, deletions, substitutions and transpositions are each\n * treated as an edit distance of 1.\n *\n * Increasing the allowed edit distance will have a dramatic impact\n * on the performance of both creating and intersecting these TokenSets.\n * It is advised to keep the edit distance less than 3.\n *\n * @param {string} str - The string to create the token set from.\n * @param {number} editDistance - The allowed edit distance to match.\n * @returns {lunr.Vector}\n */\nlunr.TokenSet.fromFuzzyString = function (str, editDistance) {\n var root = new lunr.TokenSet\n\n var stack = [{\n node: root,\n editsRemaining: editDistance,\n str: str\n }]\n\n while (stack.length) {\n var frame = stack.pop()\n\n // no edit\n if (frame.str.length > 0) {\n var char = frame.str.charAt(0),\n noEditNode\n\n if (char in frame.node.edges) {\n noEditNode = frame.node.edges[char]\n } else {\n noEditNode = new lunr.TokenSet\n frame.node.edges[char] = noEditNode\n }\n\n if (frame.str.length == 1) {\n noEditNode.final = true\n }\n\n stack.push({\n node: noEditNode,\n editsRemaining: frame.editsRemaining,\n str: frame.str.slice(1)\n })\n }\n\n if (frame.editsRemaining == 0) {\n continue\n }\n\n // insertion\n if (\"*\" in frame.node.edges) {\n var insertionNode = frame.node.edges[\"*\"]\n } else {\n var insertionNode = new lunr.TokenSet\n frame.node.edges[\"*\"] = insertionNode\n }\n\n if (frame.str.length == 0) {\n insertionNode.final = true\n }\n\n stack.push({\n node: insertionNode,\n editsRemaining: frame.editsRemaining - 1,\n str: frame.str\n })\n\n // deletion\n // can only do a deletion if we have enough edits remaining\n // and if there are characters left to delete in the string\n if (frame.str.length > 1) {\n stack.push({\n node: frame.node,\n editsRemaining: frame.editsRemaining - 1,\n str: frame.str.slice(1)\n })\n }\n\n // deletion\n // just removing the last character from the str\n if (frame.str.length == 1) {\n frame.node.final = true\n }\n\n // substitution\n // can only do a substitution if we have enough edits remaining\n // and if there are characters left to substitute\n if (frame.str.length >= 1) {\n if (\"*\" in frame.node.edges) {\n var substitutionNode = frame.node.edges[\"*\"]\n } else {\n var substitutionNode = new lunr.TokenSet\n frame.node.edges[\"*\"] = substitutionNode\n }\n\n if (frame.str.length == 1) {\n substitutionNode.final = true\n }\n\n stack.push({\n node: substitutionNode,\n editsRemaining: frame.editsRemaining - 1,\n str: frame.str.slice(1)\n })\n }\n\n // transposition\n // can only do a transposition if there are edits remaining\n // and there are enough characters to transpose\n if (frame.str.length > 1) {\n var charA = frame.str.charAt(0),\n charB = frame.str.charAt(1),\n transposeNode\n\n if (charB in frame.node.edges) {\n transposeNode = frame.node.edges[charB]\n } else {\n transposeNode = new lunr.TokenSet\n frame.node.edges[charB] = transposeNode\n }\n\n if (frame.str.length == 1) {\n transposeNode.final = true\n }\n\n stack.push({\n node: transposeNode,\n editsRemaining: frame.editsRemaining - 1,\n str: charA + frame.str.slice(2)\n })\n }\n }\n\n return root\n}\n\n/**\n * Creates a TokenSet from a string.\n *\n * The string may contain one or more wildcard characters (*)\n * that will allow wildcard matching when intersecting with\n * another TokenSet.\n *\n * @param {string} str - The string to create a TokenSet from.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.fromString = function (str) {\n var node = new lunr.TokenSet,\n root = node\n\n /*\n * Iterates through all characters within the passed string\n * appending a node for each character.\n *\n * When a wildcard character is found then a self\n * referencing edge is introduced to continually match\n * any number of any characters.\n */\n for (var i = 0, len = str.length; i < len; i++) {\n var char = str[i],\n final = (i == len - 1)\n\n if (char == \"*\") {\n node.edges[char] = node\n node.final = final\n\n } else {\n var next = new lunr.TokenSet\n next.final = final\n\n node.edges[char] = next\n node = next\n }\n }\n\n return root\n}\n\n/**\n * Converts this TokenSet into an array of strings\n * contained within the TokenSet.\n *\n * This is not intended to be used on a TokenSet that\n * contains wildcards, in these cases the results are\n * undefined and are likely to cause an infinite loop.\n *\n * @returns {string[]}\n */\nlunr.TokenSet.prototype.toArray = function () {\n var words = []\n\n var stack = [{\n prefix: \"\",\n node: this\n }]\n\n while (stack.length) {\n var frame = stack.pop(),\n edges = Object.keys(frame.node.edges),\n len = edges.length\n\n if (frame.node.final) {\n /* In Safari, at this point the prefix is sometimes corrupted, see:\n * https://github.com/olivernn/lunr.js/issues/279 Calling any\n * String.prototype method forces Safari to \"cast\" this string to what\n * it's supposed to be, fixing the bug. */\n frame.prefix.charAt(0)\n words.push(frame.prefix)\n }\n\n for (var i = 0; i < len; i++) {\n var edge = edges[i]\n\n stack.push({\n prefix: frame.prefix.concat(edge),\n node: frame.node.edges[edge]\n })\n }\n }\n\n return words\n}\n\n/**\n * Generates a string representation of a TokenSet.\n *\n * This is intended to allow TokenSets to be used as keys\n * in objects, largely to aid the construction and minimisation\n * of a TokenSet. As such it is not designed to be a human\n * friendly representation of the TokenSet.\n *\n * @returns {string}\n */\nlunr.TokenSet.prototype.toString = function () {\n // NOTE: Using Object.keys here as this.edges is very likely\n // to enter 'hash-mode' with many keys being added\n //\n // avoiding a for-in loop here as it leads to the function\n // being de-optimised (at least in V8). From some simple\n // benchmarks the performance is comparable, but allowing\n // V8 to optimize may mean easy performance wins in the future.\n\n if (this._str) {\n return this._str\n }\n\n var str = this.final ? '1' : '0',\n labels = Object.keys(this.edges).sort(),\n len = labels.length\n\n for (var i = 0; i < len; i++) {\n var label = labels[i],\n node = this.edges[label]\n\n str = str + label + node.id\n }\n\n return str\n}\n\n/**\n * Returns a new TokenSet that is the intersection of\n * this TokenSet and the passed TokenSet.\n *\n * This intersection will take into account any wildcards\n * contained within the TokenSet.\n *\n * @param {lunr.TokenSet} b - An other TokenSet to intersect with.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.prototype.intersect = function (b) {\n var output = new lunr.TokenSet,\n frame = undefined\n\n var stack = [{\n qNode: b,\n output: output,\n node: this\n }]\n\n while (stack.length) {\n frame = stack.pop()\n\n // NOTE: As with the #toString method, we are using\n // Object.keys and a for loop instead of a for-in loop\n // as both of these objects enter 'hash' mode, causing\n // the function to be de-optimised in V8\n var qEdges = Object.keys(frame.qNode.edges),\n qLen = qEdges.length,\n nEdges = Object.keys(frame.node.edges),\n nLen = nEdges.length\n\n for (var q = 0; q < qLen; q++) {\n var qEdge = qEdges[q]\n\n for (var n = 0; n < nLen; n++) {\n var nEdge = nEdges[n]\n\n if (nEdge == qEdge || qEdge == '*') {\n var node = frame.node.edges[nEdge],\n qNode = frame.qNode.edges[qEdge],\n final = node.final && qNode.final,\n next = undefined\n\n if (nEdge in frame.output.edges) {\n // an edge already exists for this character\n // no need to create a new node, just set the finality\n // bit unless this node is already final\n next = frame.output.edges[nEdge]\n next.final = next.final || final\n\n } else {\n // no edge exists yet, must create one\n // set the finality bit and insert it\n // into the output\n next = new lunr.TokenSet\n next.final = final\n frame.output.edges[nEdge] = next\n }\n\n stack.push({\n qNode: qNode,\n output: next,\n node: node\n })\n }\n }\n }\n }\n\n return output\n}\nlunr.TokenSet.Builder = function () {\n this.previousWord = \"\"\n this.root = new lunr.TokenSet\n this.uncheckedNodes = []\n this.minimizedNodes = {}\n}\n\nlunr.TokenSet.Builder.prototype.insert = function (word) {\n var node,\n commonPrefix = 0\n\n if (word < this.previousWord) {\n throw new Error (\"Out of order word insertion\")\n }\n\n for (var i = 0; i < word.length && i < this.previousWord.length; i++) {\n if (word[i] != this.previousWord[i]) break\n commonPrefix++\n }\n\n this.minimize(commonPrefix)\n\n if (this.uncheckedNodes.length == 0) {\n node = this.root\n } else {\n node = this.uncheckedNodes[this.uncheckedNodes.length - 1].child\n }\n\n for (var i = commonPrefix; i < word.length; i++) {\n var nextNode = new lunr.TokenSet,\n char = word[i]\n\n node.edges[char] = nextNode\n\n this.uncheckedNodes.push({\n parent: node,\n char: char,\n child: nextNode\n })\n\n node = nextNode\n }\n\n node.final = true\n this.previousWord = word\n}\n\nlunr.TokenSet.Builder.prototype.finish = function () {\n this.minimize(0)\n}\n\nlunr.TokenSet.Builder.prototype.minimize = function (downTo) {\n for (var i = this.uncheckedNodes.length - 1; i >= downTo; i--) {\n var node = this.uncheckedNodes[i],\n childKey = node.child.toString()\n\n if (childKey in this.minimizedNodes) {\n node.parent.edges[node.char] = this.minimizedNodes[childKey]\n } else {\n // Cache the key for this node since\n // we know it can't change anymore\n node.child._str = childKey\n\n this.minimizedNodes[childKey] = node.child\n }\n\n this.uncheckedNodes.pop()\n }\n}\n/*!\n * lunr.Index\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * An index contains the built index of all documents and provides a query interface\n * to the index.\n *\n * Usually instances of lunr.Index will not be created using this constructor, instead\n * lunr.Builder should be used to construct new indexes, or lunr.Index.load should be\n * used to load previously built and serialized indexes.\n *\n * @constructor\n * @param {Object} attrs - The attributes of the built search index.\n * @param {Object} attrs.invertedIndex - An index of term/field to document reference.\n * @param {Object} attrs.fieldVectors - Field vectors\n * @param {lunr.TokenSet} attrs.tokenSet - An set of all corpus tokens.\n * @param {string[]} attrs.fields - The names of indexed document fields.\n * @param {lunr.Pipeline} attrs.pipeline - The pipeline to use for search terms.\n */\nlunr.Index = function (attrs) {\n this.invertedIndex = attrs.invertedIndex\n this.fieldVectors = attrs.fieldVectors\n this.tokenSet = attrs.tokenSet\n this.fields = attrs.fields\n this.pipeline = attrs.pipeline\n}\n\n/**\n * A result contains details of a document matching a search query.\n * @typedef {Object} lunr.Index~Result\n * @property {string} ref - The reference of the document this result represents.\n * @property {number} score - A number between 0 and 1 representing how similar this document is to the query.\n * @property {lunr.MatchData} matchData - Contains metadata about this match including which term(s) caused the match.\n */\n\n/**\n * Although lunr provides the ability to create queries using lunr.Query, it also provides a simple\n * query language which itself is parsed into an instance of lunr.Query.\n *\n * For programmatically building queries it is advised to directly use lunr.Query, the query language\n * is best used for human entered text rather than program generated text.\n *\n * At its simplest queries can just be a single term, e.g. `hello`, multiple terms are also supported\n * and will be combined with OR, e.g `hello world` will match documents that contain either 'hello'\n * or 'world', though those that contain both will rank higher in the results.\n *\n * Wildcards can be included in terms to match one or more unspecified characters, these wildcards can\n * be inserted anywhere within the term, and more than one wildcard can exist in a single term. Adding\n * wildcards will increase the number of documents that will be found but can also have a negative\n * impact on query performance, especially with wildcards at the beginning of a term.\n *\n * Terms can be restricted to specific fields, e.g. `title:hello`, only documents with the term\n * hello in the title field will match this query. Using a field not present in the index will lead\n * to an error being thrown.\n *\n * Modifiers can also be added to terms, lunr supports edit distance and boost modifiers on terms. A term\n * boost will make documents matching that term score higher, e.g. `foo^5`. Edit distance is also supported\n * to provide fuzzy matching, e.g. 'hello~2' will match documents with hello with an edit distance of 2.\n * Avoid large values for edit distance to improve query performance.\n *\n * Each term also supports a presence modifier. By default a term's presence in document is optional, however\n * this can be changed to either required or prohibited. For a term's presence to be required in a document the\n * term should be prefixed with a '+', e.g. `+foo bar` is a search for documents that must contain 'foo' and\n * optionally contain 'bar'. Conversely a leading '-' sets the terms presence to prohibited, i.e. it must not\n * appear in a document, e.g. `-foo bar` is a search for documents that do not contain 'foo' but may contain 'bar'.\n *\n * To escape special characters the backslash character '\\' can be used, this allows searches to include\n * characters that would normally be considered modifiers, e.g. `foo\\~2` will search for a term \"foo~2\" instead\n * of attempting to apply a boost of 2 to the search term \"foo\".\n *\n * @typedef {string} lunr.Index~QueryString\n * @example Simple single term query\n * hello\n * @example Multiple term query\n * hello world\n * @example term scoped to a field\n * title:hello\n * @example term with a boost of 10\n * hello^10\n * @example term with an edit distance of 2\n * hello~2\n * @example terms with presence modifiers\n * -foo +bar baz\n */\n\n/**\n * Performs a search against the index using lunr query syntax.\n *\n * Results will be returned sorted by their score, the most relevant results\n * will be returned first. For details on how the score is calculated, please see\n * the {@link https://lunrjs.com/guides/searching.html#scoring|guide}.\n *\n * For more programmatic querying use lunr.Index#query.\n *\n * @param {lunr.Index~QueryString} queryString - A string containing a lunr query.\n * @throws {lunr.QueryParseError} If the passed query string cannot be parsed.\n * @returns {lunr.Index~Result[]}\n */\nlunr.Index.prototype.search = function (queryString) {\n return this.query(function (query) {\n var parser = new lunr.QueryParser(queryString, query)\n parser.parse()\n })\n}\n\n/**\n * A query builder callback provides a query object to be used to express\n * the query to perform on the index.\n *\n * @callback lunr.Index~queryBuilder\n * @param {lunr.Query} query - The query object to build up.\n * @this lunr.Query\n */\n\n/**\n * Performs a query against the index using the yielded lunr.Query object.\n *\n * If performing programmatic queries against the index, this method is preferred\n * over lunr.Index#search so as to avoid the additional query parsing overhead.\n *\n * A query object is yielded to the supplied function which should be used to\n * express the query to be run against the index.\n *\n * Note that although this function takes a callback parameter it is _not_ an\n * asynchronous operation, the callback is just yielded a query object to be\n * customized.\n *\n * @param {lunr.Index~queryBuilder} fn - A function that is used to build the query.\n * @returns {lunr.Index~Result[]}\n */\nlunr.Index.prototype.query = function (fn) {\n // for each query clause\n // * process terms\n // * expand terms from token set\n // * find matching documents and metadata\n // * get document vectors\n // * score documents\n\n var query = new lunr.Query(this.fields),\n matchingFields = Object.create(null),\n queryVectors = Object.create(null),\n termFieldCache = Object.create(null),\n requiredMatches = Object.create(null),\n prohibitedMatches = Object.create(null)\n\n /*\n * To support field level boosts a query vector is created per\n * field. An empty vector is eagerly created to support negated\n * queries.\n */\n for (var i = 0; i < this.fields.length; i++) {\n queryVectors[this.fields[i]] = new lunr.Vector\n }\n\n fn.call(query, query)\n\n for (var i = 0; i < query.clauses.length; i++) {\n /*\n * Unless the pipeline has been disabled for this term, which is\n * the case for terms with wildcards, we need to pass the clause\n * term through the search pipeline. A pipeline returns an array\n * of processed terms. Pipeline functions may expand the passed\n * term, which means we may end up performing multiple index lookups\n * for a single query term.\n */\n var clause = query.clauses[i],\n terms = null,\n clauseMatches = lunr.Set.empty\n\n if (clause.usePipeline) {\n terms = this.pipeline.runString(clause.term, {\n fields: clause.fields\n })\n } else {\n terms = [clause.term]\n }\n\n for (var m = 0; m < terms.length; m++) {\n var term = terms[m]\n\n /*\n * Each term returned from the pipeline needs to use the same query\n * clause object, e.g. the same boost and or edit distance. The\n * simplest way to do this is to re-use the clause object but mutate\n * its term property.\n */\n clause.term = term\n\n /*\n * From the term in the clause we create a token set which will then\n * be used to intersect the indexes token set to get a list of terms\n * to lookup in the inverted index\n */\n var termTokenSet = lunr.TokenSet.fromClause(clause),\n expandedTerms = this.tokenSet.intersect(termTokenSet).toArray()\n\n /*\n * If a term marked as required does not exist in the tokenSet it is\n * impossible for the search to return any matches. We set all the field\n * scoped required matches set to empty and stop examining any further\n * clauses.\n */\n if (expandedTerms.length === 0 && clause.presence === lunr.Query.presence.REQUIRED) {\n for (var k = 0; k < clause.fields.length; k++) {\n var field = clause.fields[k]\n requiredMatches[field] = lunr.Set.empty\n }\n\n break\n }\n\n for (var j = 0; j < expandedTerms.length; j++) {\n /*\n * For each term get the posting and termIndex, this is required for\n * building the query vector.\n */\n var expandedTerm = expandedTerms[j],\n posting = this.invertedIndex[expandedTerm],\n termIndex = posting._index\n\n for (var k = 0; k < clause.fields.length; k++) {\n /*\n * For each field that this query term is scoped by (by default\n * all fields are in scope) we need to get all the document refs\n * that have this term in that field.\n *\n * The posting is the entry in the invertedIndex for the matching\n * term from above.\n */\n var field = clause.fields[k],\n fieldPosting = posting[field],\n matchingDocumentRefs = Object.keys(fieldPosting),\n termField = expandedTerm + \"/\" + field,\n matchingDocumentsSet = new lunr.Set(matchingDocumentRefs)\n\n /*\n * if the presence of this term is required ensure that the matching\n * documents are added to the set of required matches for this clause.\n *\n */\n if (clause.presence == lunr.Query.presence.REQUIRED) {\n clauseMatches = clauseMatches.union(matchingDocumentsSet)\n\n if (requiredMatches[field] === undefined) {\n requiredMatches[field] = lunr.Set.complete\n }\n }\n\n /*\n * if the presence of this term is prohibited ensure that the matching\n * documents are added to the set of prohibited matches for this field,\n * creating that set if it does not yet exist.\n */\n if (clause.presence == lunr.Query.presence.PROHIBITED) {\n if (prohibitedMatches[field] === undefined) {\n prohibitedMatches[field] = lunr.Set.empty\n }\n\n prohibitedMatches[field] = prohibitedMatches[field].union(matchingDocumentsSet)\n\n /*\n * Prohibited matches should not be part of the query vector used for\n * similarity scoring and no metadata should be extracted so we continue\n * to the next field\n */\n continue\n }\n\n /*\n * The query field vector is populated using the termIndex found for\n * the term and a unit value with the appropriate boost applied.\n * Using upsert because there could already be an entry in the vector\n * for the term we are working with. In that case we just add the scores\n * together.\n */\n queryVectors[field].upsert(termIndex, clause.boost, function (a, b) { return a + b })\n\n /**\n * If we've already seen this term, field combo then we've already collected\n * the matching documents and metadata, no need to go through all that again\n */\n if (termFieldCache[termField]) {\n continue\n }\n\n for (var l = 0; l < matchingDocumentRefs.length; l++) {\n /*\n * All metadata for this term/field/document triple\n * are then extracted and collected into an instance\n * of lunr.MatchData ready to be returned in the query\n * results\n */\n var matchingDocumentRef = matchingDocumentRefs[l],\n matchingFieldRef = new lunr.FieldRef (matchingDocumentRef, field),\n metadata = fieldPosting[matchingDocumentRef],\n fieldMatch\n\n if ((fieldMatch = matchingFields[matchingFieldRef]) === undefined) {\n matchingFields[matchingFieldRef] = new lunr.MatchData (expandedTerm, field, metadata)\n } else {\n fieldMatch.add(expandedTerm, field, metadata)\n }\n\n }\n\n termFieldCache[termField] = true\n }\n }\n }\n\n /**\n * If the presence was required we need to update the requiredMatches field sets.\n * We do this after all fields for the term have collected their matches because\n * the clause terms presence is required in _any_ of the fields not _all_ of the\n * fields.\n */\n if (clause.presence === lunr.Query.presence.REQUIRED) {\n for (var k = 0; k < clause.fields.length; k++) {\n var field = clause.fields[k]\n requiredMatches[field] = requiredMatches[field].intersect(clauseMatches)\n }\n }\n }\n\n /**\n * Need to combine the field scoped required and prohibited\n * matching documents into a global set of required and prohibited\n * matches\n */\n var allRequiredMatches = lunr.Set.complete,\n allProhibitedMatches = lunr.Set.empty\n\n for (var i = 0; i < this.fields.length; i++) {\n var field = this.fields[i]\n\n if (requiredMatches[field]) {\n allRequiredMatches = allRequiredMatches.intersect(requiredMatches[field])\n }\n\n if (prohibitedMatches[field]) {\n allProhibitedMatches = allProhibitedMatches.union(prohibitedMatches[field])\n }\n }\n\n var matchingFieldRefs = Object.keys(matchingFields),\n results = [],\n matches = Object.create(null)\n\n /*\n * If the query is negated (contains only prohibited terms)\n * we need to get _all_ fieldRefs currently existing in the\n * index. This is only done when we know that the query is\n * entirely prohibited terms to avoid any cost of getting all\n * fieldRefs unnecessarily.\n *\n * Additionally, blank MatchData must be created to correctly\n * populate the results.\n */\n if (query.isNegated()) {\n matchingFieldRefs = Object.keys(this.fieldVectors)\n\n for (var i = 0; i < matchingFieldRefs.length; i++) {\n var matchingFieldRef = matchingFieldRefs[i]\n var fieldRef = lunr.FieldRef.fromString(matchingFieldRef)\n matchingFields[matchingFieldRef] = new lunr.MatchData\n }\n }\n\n for (var i = 0; i < matchingFieldRefs.length; i++) {\n /*\n * Currently we have document fields that match the query, but we\n * need to return documents. The matchData and scores are combined\n * from multiple fields belonging to the same document.\n *\n * Scores are calculated by field, using the query vectors created\n * above, and combined into a final document score using addition.\n */\n var fieldRef = lunr.FieldRef.fromString(matchingFieldRefs[i]),\n docRef = fieldRef.docRef\n\n if (!allRequiredMatches.contains(docRef)) {\n continue\n }\n\n if (allProhibitedMatches.contains(docRef)) {\n continue\n }\n\n var fieldVector = this.fieldVectors[fieldRef],\n score = queryVectors[fieldRef.fieldName].similarity(fieldVector),\n docMatch\n\n if ((docMatch = matches[docRef]) !== undefined) {\n docMatch.score += score\n docMatch.matchData.combine(matchingFields[fieldRef])\n } else {\n var match = {\n ref: docRef,\n score: score,\n matchData: matchingFields[fieldRef]\n }\n matches[docRef] = match\n results.push(match)\n }\n }\n\n /*\n * Sort the results objects by score, highest first.\n */\n return results.sort(function (a, b) {\n return b.score - a.score\n })\n}\n\n/**\n * Prepares the index for JSON serialization.\n *\n * The schema for this JSON blob will be described in a\n * separate JSON schema file.\n *\n * @returns {Object}\n */\nlunr.Index.prototype.toJSON = function () {\n var invertedIndex = Object.keys(this.invertedIndex)\n .sort()\n .map(function (term) {\n return [term, this.invertedIndex[term]]\n }, this)\n\n var fieldVectors = Object.keys(this.fieldVectors)\n .map(function (ref) {\n return [ref, this.fieldVectors[ref].toJSON()]\n }, this)\n\n return {\n version: lunr.version,\n fields: this.fields,\n fieldVectors: fieldVectors,\n invertedIndex: invertedIndex,\n pipeline: this.pipeline.toJSON()\n }\n}\n\n/**\n * Loads a previously serialized lunr.Index\n *\n * @param {Object} serializedIndex - A previously serialized lunr.Index\n * @returns {lunr.Index}\n */\nlunr.Index.load = function (serializedIndex) {\n var attrs = {},\n fieldVectors = {},\n serializedVectors = serializedIndex.fieldVectors,\n invertedIndex = Object.create(null),\n serializedInvertedIndex = serializedIndex.invertedIndex,\n tokenSetBuilder = new lunr.TokenSet.Builder,\n pipeline = lunr.Pipeline.load(serializedIndex.pipeline)\n\n if (serializedIndex.version != lunr.version) {\n lunr.utils.warn(\"Version mismatch when loading serialised index. Current version of lunr '\" + lunr.version + \"' does not match serialized index '\" + serializedIndex.version + \"'\")\n }\n\n for (var i = 0; i < serializedVectors.length; i++) {\n var tuple = serializedVectors[i],\n ref = tuple[0],\n elements = tuple[1]\n\n fieldVectors[ref] = new lunr.Vector(elements)\n }\n\n for (var i = 0; i < serializedInvertedIndex.length; i++) {\n var tuple = serializedInvertedIndex[i],\n term = tuple[0],\n posting = tuple[1]\n\n tokenSetBuilder.insert(term)\n invertedIndex[term] = posting\n }\n\n tokenSetBuilder.finish()\n\n attrs.fields = serializedIndex.fields\n\n attrs.fieldVectors = fieldVectors\n attrs.invertedIndex = invertedIndex\n attrs.tokenSet = tokenSetBuilder.root\n attrs.pipeline = pipeline\n\n return new lunr.Index(attrs)\n}\n/*!\n * lunr.Builder\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.Builder performs indexing on a set of documents and\n * returns instances of lunr.Index ready for querying.\n *\n * All configuration of the index is done via the builder, the\n * fields to index, the document reference, the text processing\n * pipeline and document scoring parameters are all set on the\n * builder before indexing.\n *\n * @constructor\n * @property {string} _ref - Internal reference to the document reference field.\n * @property {string[]} _fields - Internal reference to the document fields to index.\n * @property {object} invertedIndex - The inverted index maps terms to document fields.\n * @property {object} documentTermFrequencies - Keeps track of document term frequencies.\n * @property {object} documentLengths - Keeps track of the length of documents added to the index.\n * @property {lunr.tokenizer} tokenizer - Function for splitting strings into tokens for indexing.\n * @property {lunr.Pipeline} pipeline - The pipeline performs text processing on tokens before indexing.\n * @property {lunr.Pipeline} searchPipeline - A pipeline for processing search terms before querying the index.\n * @property {number} documentCount - Keeps track of the total number of documents indexed.\n * @property {number} _b - A parameter to control field length normalization, setting this to 0 disabled normalization, 1 fully normalizes field lengths, the default value is 0.75.\n * @property {number} _k1 - A parameter to control how quickly an increase in term frequency results in term frequency saturation, the default value is 1.2.\n * @property {number} termIndex - A counter incremented for each unique term, used to identify a terms position in the vector space.\n * @property {array} metadataWhitelist - A list of metadata keys that have been whitelisted for entry in the index.\n */\nlunr.Builder = function () {\n this._ref = \"id\"\n this._fields = Object.create(null)\n this._documents = Object.create(null)\n this.invertedIndex = Object.create(null)\n this.fieldTermFrequencies = {}\n this.fieldLengths = {}\n this.tokenizer = lunr.tokenizer\n this.pipeline = new lunr.Pipeline\n this.searchPipeline = new lunr.Pipeline\n this.documentCount = 0\n this._b = 0.75\n this._k1 = 1.2\n this.termIndex = 0\n this.metadataWhitelist = []\n}\n\n/**\n * Sets the document field used as the document reference. Every document must have this field.\n * The type of this field in the document should be a string, if it is not a string it will be\n * coerced into a string by calling toString.\n *\n * The default ref is 'id'.\n *\n * The ref should _not_ be changed during indexing, it should be set before any documents are\n * added to the index. Changing it during indexing can lead to inconsistent results.\n *\n * @param {string} ref - The name of the reference field in the document.\n */\nlunr.Builder.prototype.ref = function (ref) {\n this._ref = ref\n}\n\n/**\n * A function that is used to extract a field from a document.\n *\n * Lunr expects a field to be at the top level of a document, if however the field\n * is deeply nested within a document an extractor function can be used to extract\n * the right field for indexing.\n *\n * @callback fieldExtractor\n * @param {object} doc - The document being added to the index.\n * @returns {?(string|object|object[])} obj - The object that will be indexed for this field.\n * @example Extracting a nested field\n * function (doc) { return doc.nested.field }\n */\n\n/**\n * Adds a field to the list of document fields that will be indexed. Every document being\n * indexed should have this field. Null values for this field in indexed documents will\n * not cause errors but will limit the chance of that document being retrieved by searches.\n *\n * All fields should be added before adding documents to the index. Adding fields after\n * a document has been indexed will have no effect on already indexed documents.\n *\n * Fields can be boosted at build time. This allows terms within that field to have more\n * importance when ranking search results. Use a field boost to specify that matches within\n * one field are more important than other fields.\n *\n * @param {string} fieldName - The name of a field to index in all documents.\n * @param {object} attributes - Optional attributes associated with this field.\n * @param {number} [attributes.boost=1] - Boost applied to all terms within this field.\n * @param {fieldExtractor} [attributes.extractor] - Function to extract a field from a document.\n * @throws {RangeError} fieldName cannot contain unsupported characters '/'\n */\nlunr.Builder.prototype.field = function (fieldName, attributes) {\n if (/\\//.test(fieldName)) {\n throw new RangeError (\"Field '\" + fieldName + \"' contains illegal character '/'\")\n }\n\n this._fields[fieldName] = attributes || {}\n}\n\n/**\n * A parameter to tune the amount of field length normalisation that is applied when\n * calculating relevance scores. A value of 0 will completely disable any normalisation\n * and a value of 1 will fully normalise field lengths. The default is 0.75. Values of b\n * will be clamped to the range 0 - 1.\n *\n * @param {number} number - The value to set for this tuning parameter.\n */\nlunr.Builder.prototype.b = function (number) {\n if (number < 0) {\n this._b = 0\n } else if (number > 1) {\n this._b = 1\n } else {\n this._b = number\n }\n}\n\n/**\n * A parameter that controls the speed at which a rise in term frequency results in term\n * frequency saturation. The default value is 1.2. Setting this to a higher value will give\n * slower saturation levels, a lower value will result in quicker saturation.\n *\n * @param {number} number - The value to set for this tuning parameter.\n */\nlunr.Builder.prototype.k1 = function (number) {\n this._k1 = number\n}\n\n/**\n * Adds a document to the index.\n *\n * Before adding fields to the index the index should have been fully setup, with the document\n * ref and all fields to index already having been specified.\n *\n * The document must have a field name as specified by the ref (by default this is 'id') and\n * it should have all fields defined for indexing, though null or undefined values will not\n * cause errors.\n *\n * Entire documents can be boosted at build time. Applying a boost to a document indicates that\n * this document should rank higher in search results than other documents.\n *\n * @param {object} doc - The document to add to the index.\n * @param {object} attributes - Optional attributes associated with this document.\n * @param {number} [attributes.boost=1] - Boost applied to all terms within this document.\n */\nlunr.Builder.prototype.add = function (doc, attributes) {\n var docRef = doc[this._ref],\n fields = Object.keys(this._fields)\n\n this._documents[docRef] = attributes || {}\n this.documentCount += 1\n\n for (var i = 0; i < fields.length; i++) {\n var fieldName = fields[i],\n extractor = this._fields[fieldName].extractor,\n field = extractor ? extractor(doc) : doc[fieldName],\n tokens = this.tokenizer(field, {\n fields: [fieldName]\n }),\n terms = this.pipeline.run(tokens),\n fieldRef = new lunr.FieldRef (docRef, fieldName),\n fieldTerms = Object.create(null)\n\n this.fieldTermFrequencies[fieldRef] = fieldTerms\n this.fieldLengths[fieldRef] = 0\n\n // store the length of this field for this document\n this.fieldLengths[fieldRef] += terms.length\n\n // calculate term frequencies for this field\n for (var j = 0; j < terms.length; j++) {\n var term = terms[j]\n\n if (fieldTerms[term] == undefined) {\n fieldTerms[term] = 0\n }\n\n fieldTerms[term] += 1\n\n // add to inverted index\n // create an initial posting if one doesn't exist\n if (this.invertedIndex[term] == undefined) {\n var posting = Object.create(null)\n posting[\"_index\"] = this.termIndex\n this.termIndex += 1\n\n for (var k = 0; k < fields.length; k++) {\n posting[fields[k]] = Object.create(null)\n }\n\n this.invertedIndex[term] = posting\n }\n\n // add an entry for this term/fieldName/docRef to the invertedIndex\n if (this.invertedIndex[term][fieldName][docRef] == undefined) {\n this.invertedIndex[term][fieldName][docRef] = Object.create(null)\n }\n\n // store all whitelisted metadata about this token in the\n // inverted index\n for (var l = 0; l < this.metadataWhitelist.length; l++) {\n var metadataKey = this.metadataWhitelist[l],\n metadata = term.metadata[metadataKey]\n\n if (this.invertedIndex[term][fieldName][docRef][metadataKey] == undefined) {\n this.invertedIndex[term][fieldName][docRef][metadataKey] = []\n }\n\n this.invertedIndex[term][fieldName][docRef][metadataKey].push(metadata)\n }\n }\n\n }\n}\n\n/**\n * Calculates the average document length for this index\n *\n * @private\n */\nlunr.Builder.prototype.calculateAverageFieldLengths = function () {\n\n var fieldRefs = Object.keys(this.fieldLengths),\n numberOfFields = fieldRefs.length,\n accumulator = {},\n documentsWithField = {}\n\n for (var i = 0; i < numberOfFields; i++) {\n var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),\n field = fieldRef.fieldName\n\n documentsWithField[field] || (documentsWithField[field] = 0)\n documentsWithField[field] += 1\n\n accumulator[field] || (accumulator[field] = 0)\n accumulator[field] += this.fieldLengths[fieldRef]\n }\n\n var fields = Object.keys(this._fields)\n\n for (var i = 0; i < fields.length; i++) {\n var fieldName = fields[i]\n accumulator[fieldName] = accumulator[fieldName] / documentsWithField[fieldName]\n }\n\n this.averageFieldLength = accumulator\n}\n\n/**\n * Builds a vector space model of every document using lunr.Vector\n *\n * @private\n */\nlunr.Builder.prototype.createFieldVectors = function () {\n var fieldVectors = {},\n fieldRefs = Object.keys(this.fieldTermFrequencies),\n fieldRefsLength = fieldRefs.length,\n termIdfCache = Object.create(null)\n\n for (var i = 0; i < fieldRefsLength; i++) {\n var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),\n fieldName = fieldRef.fieldName,\n fieldLength = this.fieldLengths[fieldRef],\n fieldVector = new lunr.Vector,\n termFrequencies = this.fieldTermFrequencies[fieldRef],\n terms = Object.keys(termFrequencies),\n termsLength = terms.length\n\n\n var fieldBoost = this._fields[fieldName].boost || 1,\n docBoost = this._documents[fieldRef.docRef].boost || 1\n\n for (var j = 0; j < termsLength; j++) {\n var term = terms[j],\n tf = termFrequencies[term],\n termIndex = this.invertedIndex[term]._index,\n idf, score, scoreWithPrecision\n\n if (termIdfCache[term] === undefined) {\n idf = lunr.idf(this.invertedIndex[term], this.documentCount)\n termIdfCache[term] = idf\n } else {\n idf = termIdfCache[term]\n }\n\n score = idf * ((this._k1 + 1) * tf) / (this._k1 * (1 - this._b + this._b * (fieldLength / this.averageFieldLength[fieldName])) + tf)\n score *= fieldBoost\n score *= docBoost\n scoreWithPrecision = Math.round(score * 1000) / 1000\n // Converts 1.23456789 to 1.234.\n // Reducing the precision so that the vectors take up less\n // space when serialised. Doing it now so that they behave\n // the same before and after serialisation. Also, this is\n // the fastest approach to reducing a number's precision in\n // JavaScript.\n\n fieldVector.insert(termIndex, scoreWithPrecision)\n }\n\n fieldVectors[fieldRef] = fieldVector\n }\n\n this.fieldVectors = fieldVectors\n}\n\n/**\n * Creates a token set of all tokens in the index using lunr.TokenSet\n *\n * @private\n */\nlunr.Builder.prototype.createTokenSet = function () {\n this.tokenSet = lunr.TokenSet.fromArray(\n Object.keys(this.invertedIndex).sort()\n )\n}\n\n/**\n * Builds the index, creating an instance of lunr.Index.\n *\n * This completes the indexing process and should only be called\n * once all documents have been added to the index.\n *\n * @returns {lunr.Index}\n */\nlunr.Builder.prototype.build = function () {\n this.calculateAverageFieldLengths()\n this.createFieldVectors()\n this.createTokenSet()\n\n return new lunr.Index({\n invertedIndex: this.invertedIndex,\n fieldVectors: this.fieldVectors,\n tokenSet: this.tokenSet,\n fields: Object.keys(this._fields),\n pipeline: this.searchPipeline\n })\n}\n\n/**\n * Applies a plugin to the index builder.\n *\n * A plugin is a function that is called with the index builder as its context.\n * Plugins can be used to customise or extend the behaviour of the index\n * in some way. A plugin is just a function, that encapsulated the custom\n * behaviour that should be applied when building the index.\n *\n * The plugin function will be called with the index builder as its argument, additional\n * arguments can also be passed when calling use. The function will be called\n * with the index builder as its context.\n *\n * @param {Function} plugin The plugin to apply.\n */\nlunr.Builder.prototype.use = function (fn) {\n var args = Array.prototype.slice.call(arguments, 1)\n args.unshift(this)\n fn.apply(this, args)\n}\n/**\n * Contains and collects metadata about a matching document.\n * A single instance of lunr.MatchData is returned as part of every\n * lunr.Index~Result.\n *\n * @constructor\n * @param {string} term - The term this match data is associated with\n * @param {string} field - The field in which the term was found\n * @param {object} metadata - The metadata recorded about this term in this field\n * @property {object} metadata - A cloned collection of metadata associated with this document.\n * @see {@link lunr.Index~Result}\n */\nlunr.MatchData = function (term, field, metadata) {\n var clonedMetadata = Object.create(null),\n metadataKeys = Object.keys(metadata || {})\n\n // Cloning the metadata to prevent the original\n // being mutated during match data combination.\n // Metadata is kept in an array within the inverted\n // index so cloning the data can be done with\n // Array#slice\n for (var i = 0; i < metadataKeys.length; i++) {\n var key = metadataKeys[i]\n clonedMetadata[key] = metadata[key].slice()\n }\n\n this.metadata = Object.create(null)\n\n if (term !== undefined) {\n this.metadata[term] = Object.create(null)\n this.metadata[term][field] = clonedMetadata\n }\n}\n\n/**\n * An instance of lunr.MatchData will be created for every term that matches a\n * document. However only one instance is required in a lunr.Index~Result. This\n * method combines metadata from another instance of lunr.MatchData with this\n * objects metadata.\n *\n * @param {lunr.MatchData} otherMatchData - Another instance of match data to merge with this one.\n * @see {@link lunr.Index~Result}\n */\nlunr.MatchData.prototype.combine = function (otherMatchData) {\n var terms = Object.keys(otherMatchData.metadata)\n\n for (var i = 0; i < terms.length; i++) {\n var term = terms[i],\n fields = Object.keys(otherMatchData.metadata[term])\n\n if (this.metadata[term] == undefined) {\n this.metadata[term] = Object.create(null)\n }\n\n for (var j = 0; j < fields.length; j++) {\n var field = fields[j],\n keys = Object.keys(otherMatchData.metadata[term][field])\n\n if (this.metadata[term][field] == undefined) {\n this.metadata[term][field] = Object.create(null)\n }\n\n for (var k = 0; k < keys.length; k++) {\n var key = keys[k]\n\n if (this.metadata[term][field][key] == undefined) {\n this.metadata[term][field][key] = otherMatchData.metadata[term][field][key]\n } else {\n this.metadata[term][field][key] = this.metadata[term][field][key].concat(otherMatchData.metadata[term][field][key])\n }\n\n }\n }\n }\n}\n\n/**\n * Add metadata for a term/field pair to this instance of match data.\n *\n * @param {string} term - The term this match data is associated with\n * @param {string} field - The field in which the term was found\n * @param {object} metadata - The metadata recorded about this term in this field\n */\nlunr.MatchData.prototype.add = function (term, field, metadata) {\n if (!(term in this.metadata)) {\n this.metadata[term] = Object.create(null)\n this.metadata[term][field] = metadata\n return\n }\n\n if (!(field in this.metadata[term])) {\n this.metadata[term][field] = metadata\n return\n }\n\n var metadataKeys = Object.keys(metadata)\n\n for (var i = 0; i < metadataKeys.length; i++) {\n var key = metadataKeys[i]\n\n if (key in this.metadata[term][field]) {\n this.metadata[term][field][key] = this.metadata[term][field][key].concat(metadata[key])\n } else {\n this.metadata[term][field][key] = metadata[key]\n }\n }\n}\n/**\n * A lunr.Query provides a programmatic way of defining queries to be performed\n * against a {@link lunr.Index}.\n *\n * Prefer constructing a lunr.Query using the {@link lunr.Index#query} method\n * so the query object is pre-initialized with the right index fields.\n *\n * @constructor\n * @property {lunr.Query~Clause[]} clauses - An array of query clauses.\n * @property {string[]} allFields - An array of all available fields in a lunr.Index.\n */\nlunr.Query = function (allFields) {\n this.clauses = []\n this.allFields = allFields\n}\n\n/**\n * Constants for indicating what kind of automatic wildcard insertion will be used when constructing a query clause.\n *\n * This allows wildcards to be added to the beginning and end of a term without having to manually do any string\n * concatenation.\n *\n * The wildcard constants can be bitwise combined to select both leading and trailing wildcards.\n *\n * @constant\n * @default\n * @property {number} wildcard.NONE - The term will have no wildcards inserted, this is the default behaviour\n * @property {number} wildcard.LEADING - Prepend the term with a wildcard, unless a leading wildcard already exists\n * @property {number} wildcard.TRAILING - Append a wildcard to the term, unless a trailing wildcard already exists\n * @see lunr.Query~Clause\n * @see lunr.Query#clause\n * @see lunr.Query#term\n * @example query term with trailing wildcard\n * query.term('foo', { wildcard: lunr.Query.wildcard.TRAILING })\n * @example query term with leading and trailing wildcard\n * query.term('foo', {\n * wildcard: lunr.Query.wildcard.LEADING | lunr.Query.wildcard.TRAILING\n * })\n */\n\nlunr.Query.wildcard = new String (\"*\")\nlunr.Query.wildcard.NONE = 0\nlunr.Query.wildcard.LEADING = 1\nlunr.Query.wildcard.TRAILING = 2\n\n/**\n * Constants for indicating what kind of presence a term must have in matching documents.\n *\n * @constant\n * @enum {number}\n * @see lunr.Query~Clause\n * @see lunr.Query#clause\n * @see lunr.Query#term\n * @example query term with required presence\n * query.term('foo', { presence: lunr.Query.presence.REQUIRED })\n */\nlunr.Query.presence = {\n /**\n * Term's presence in a document is optional, this is the default value.\n */\n OPTIONAL: 1,\n\n /**\n * Term's presence in a document is required, documents that do not contain\n * this term will not be returned.\n */\n REQUIRED: 2,\n\n /**\n * Term's presence in a document is prohibited, documents that do contain\n * this term will not be returned.\n */\n PROHIBITED: 3\n}\n\n/**\n * A single clause in a {@link lunr.Query} contains a term and details on how to\n * match that term against a {@link lunr.Index}.\n *\n * @typedef {Object} lunr.Query~Clause\n * @property {string[]} fields - The fields in an index this clause should be matched against.\n * @property {number} [boost=1] - Any boost that should be applied when matching this clause.\n * @property {number} [editDistance] - Whether the term should have fuzzy matching applied, and how fuzzy the match should be.\n * @property {boolean} [usePipeline] - Whether the term should be passed through the search pipeline.\n * @property {number} [wildcard=lunr.Query.wildcard.NONE] - Whether the term should have wildcards appended or prepended.\n * @property {number} [presence=lunr.Query.presence.OPTIONAL] - The terms presence in any matching documents.\n */\n\n/**\n * Adds a {@link lunr.Query~Clause} to this query.\n *\n * Unless the clause contains the fields to be matched all fields will be matched. In addition\n * a default boost of 1 is applied to the clause.\n *\n * @param {lunr.Query~Clause} clause - The clause to add to this query.\n * @see lunr.Query~Clause\n * @returns {lunr.Query}\n */\nlunr.Query.prototype.clause = function (clause) {\n if (!('fields' in clause)) {\n clause.fields = this.allFields\n }\n\n if (!('boost' in clause)) {\n clause.boost = 1\n }\n\n if (!('usePipeline' in clause)) {\n clause.usePipeline = true\n }\n\n if (!('wildcard' in clause)) {\n clause.wildcard = lunr.Query.wildcard.NONE\n }\n\n if ((clause.wildcard & lunr.Query.wildcard.LEADING) && (clause.term.charAt(0) != lunr.Query.wildcard)) {\n clause.term = \"*\" + clause.term\n }\n\n if ((clause.wildcard & lunr.Query.wildcard.TRAILING) && (clause.term.slice(-1) != lunr.Query.wildcard)) {\n clause.term = \"\" + clause.term + \"*\"\n }\n\n if (!('presence' in clause)) {\n clause.presence = lunr.Query.presence.OPTIONAL\n }\n\n this.clauses.push(clause)\n\n return this\n}\n\n/**\n * A negated query is one in which every clause has a presence of\n * prohibited. These queries require some special processing to return\n * the expected results.\n *\n * @returns boolean\n */\nlunr.Query.prototype.isNegated = function () {\n for (var i = 0; i < this.clauses.length; i++) {\n if (this.clauses[i].presence != lunr.Query.presence.PROHIBITED) {\n return false\n }\n }\n\n return true\n}\n\n/**\n * Adds a term to the current query, under the covers this will create a {@link lunr.Query~Clause}\n * to the list of clauses that make up this query.\n *\n * The term is used as is, i.e. no tokenization will be performed by this method. Instead conversion\n * to a token or token-like string should be done before calling this method.\n *\n * The term will be converted to a string by calling `toString`. Multiple terms can be passed as an\n * array, each term in the array will share the same options.\n *\n * @param {object|object[]} term - The term(s) to add to the query.\n * @param {object} [options] - Any additional properties to add to the query clause.\n * @returns {lunr.Query}\n * @see lunr.Query#clause\n * @see lunr.Query~Clause\n * @example adding a single term to a query\n * query.term(\"foo\")\n * @example adding a single term to a query and specifying search fields, term boost and automatic trailing wildcard\n * query.term(\"foo\", {\n * fields: [\"title\"],\n * boost: 10,\n * wildcard: lunr.Query.wildcard.TRAILING\n * })\n * @example using lunr.tokenizer to convert a string to tokens before using them as terms\n * query.term(lunr.tokenizer(\"foo bar\"))\n */\nlunr.Query.prototype.term = function (term, options) {\n if (Array.isArray(term)) {\n term.forEach(function (t) { this.term(t, lunr.utils.clone(options)) }, this)\n return this\n }\n\n var clause = options || {}\n clause.term = term.toString()\n\n this.clause(clause)\n\n return this\n}\nlunr.QueryParseError = function (message, start, end) {\n this.name = \"QueryParseError\"\n this.message = message\n this.start = start\n this.end = end\n}\n\nlunr.QueryParseError.prototype = new Error\nlunr.QueryLexer = function (str) {\n this.lexemes = []\n this.str = str\n this.length = str.length\n this.pos = 0\n this.start = 0\n this.escapeCharPositions = []\n}\n\nlunr.QueryLexer.prototype.run = function () {\n var state = lunr.QueryLexer.lexText\n\n while (state) {\n state = state(this)\n }\n}\n\nlunr.QueryLexer.prototype.sliceString = function () {\n var subSlices = [],\n sliceStart = this.start,\n sliceEnd = this.pos\n\n for (var i = 0; i < this.escapeCharPositions.length; i++) {\n sliceEnd = this.escapeCharPositions[i]\n subSlices.push(this.str.slice(sliceStart, sliceEnd))\n sliceStart = sliceEnd + 1\n }\n\n subSlices.push(this.str.slice(sliceStart, this.pos))\n this.escapeCharPositions.length = 0\n\n return subSlices.join('')\n}\n\nlunr.QueryLexer.prototype.emit = function (type) {\n this.lexemes.push({\n type: type,\n str: this.sliceString(),\n start: this.start,\n end: this.pos\n })\n\n this.start = this.pos\n}\n\nlunr.QueryLexer.prototype.escapeCharacter = function () {\n this.escapeCharPositions.push(this.pos - 1)\n this.pos += 1\n}\n\nlunr.QueryLexer.prototype.next = function () {\n if (this.pos >= this.length) {\n return lunr.QueryLexer.EOS\n }\n\n var char = this.str.charAt(this.pos)\n this.pos += 1\n return char\n}\n\nlunr.QueryLexer.prototype.width = function () {\n return this.pos - this.start\n}\n\nlunr.QueryLexer.prototype.ignore = function () {\n if (this.start == this.pos) {\n this.pos += 1\n }\n\n this.start = this.pos\n}\n\nlunr.QueryLexer.prototype.backup = function () {\n this.pos -= 1\n}\n\nlunr.QueryLexer.prototype.acceptDigitRun = function () {\n var char, charCode\n\n do {\n char = this.next()\n charCode = char.charCodeAt(0)\n } while (charCode > 47 && charCode < 58)\n\n if (char != lunr.QueryLexer.EOS) {\n this.backup()\n }\n}\n\nlunr.QueryLexer.prototype.more = function () {\n return this.pos < this.length\n}\n\nlunr.QueryLexer.EOS = 'EOS'\nlunr.QueryLexer.FIELD = 'FIELD'\nlunr.QueryLexer.TERM = 'TERM'\nlunr.QueryLexer.EDIT_DISTANCE = 'EDIT_DISTANCE'\nlunr.QueryLexer.BOOST = 'BOOST'\nlunr.QueryLexer.PRESENCE = 'PRESENCE'\n\nlunr.QueryLexer.lexField = function (lexer) {\n lexer.backup()\n lexer.emit(lunr.QueryLexer.FIELD)\n lexer.ignore()\n return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexTerm = function (lexer) {\n if (lexer.width() > 1) {\n lexer.backup()\n lexer.emit(lunr.QueryLexer.TERM)\n }\n\n lexer.ignore()\n\n if (lexer.more()) {\n return lunr.QueryLexer.lexText\n }\n}\n\nlunr.QueryLexer.lexEditDistance = function (lexer) {\n lexer.ignore()\n lexer.acceptDigitRun()\n lexer.emit(lunr.QueryLexer.EDIT_DISTANCE)\n return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexBoost = function (lexer) {\n lexer.ignore()\n lexer.acceptDigitRun()\n lexer.emit(lunr.QueryLexer.BOOST)\n return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexEOS = function (lexer) {\n if (lexer.width() > 0) {\n lexer.emit(lunr.QueryLexer.TERM)\n }\n}\n\n// This matches the separator used when tokenising fields\n// within a document. These should match otherwise it is\n// not possible to search for some tokens within a document.\n//\n// It is possible for the user to change the separator on the\n// tokenizer so it _might_ clash with any other of the special\n// characters already used within the search string, e.g. :.\n//\n// This means that it is possible to change the separator in\n// such a way that makes some words unsearchable using a search\n// string.\nlunr.QueryLexer.termSeparator = lunr.tokenizer.separator\n\nlunr.QueryLexer.lexText = function (lexer) {\n while (true) {\n var char = lexer.next()\n\n if (char == lunr.QueryLexer.EOS) {\n return lunr.QueryLexer.lexEOS\n }\n\n // Escape character is '\\'\n if (char.charCodeAt(0) == 92) {\n lexer.escapeCharacter()\n continue\n }\n\n if (char == \":\") {\n return lunr.QueryLexer.lexField\n }\n\n if (char == \"~\") {\n lexer.backup()\n if (lexer.width() > 0) {\n lexer.emit(lunr.QueryLexer.TERM)\n }\n return lunr.QueryLexer.lexEditDistance\n }\n\n if (char == \"^\") {\n lexer.backup()\n if (lexer.width() > 0) {\n lexer.emit(lunr.QueryLexer.TERM)\n }\n return lunr.QueryLexer.lexBoost\n }\n\n // \"+\" indicates term presence is required\n // checking for length to ensure that only\n // leading \"+\" are considered\n if (char == \"+\" && lexer.width() === 1) {\n lexer.emit(lunr.QueryLexer.PRESENCE)\n return lunr.QueryLexer.lexText\n }\n\n // \"-\" indicates term presence is prohibited\n // checking for length to ensure that only\n // leading \"-\" are considered\n if (char == \"-\" && lexer.width() === 1) {\n lexer.emit(lunr.QueryLexer.PRESENCE)\n return lunr.QueryLexer.lexText\n }\n\n if (char.match(lunr.QueryLexer.termSeparator)) {\n return lunr.QueryLexer.lexTerm\n }\n }\n}\n\nlunr.QueryParser = function (str, query) {\n this.lexer = new lunr.QueryLexer (str)\n this.query = query\n this.currentClause = {}\n this.lexemeIdx = 0\n}\n\nlunr.QueryParser.prototype.parse = function () {\n this.lexer.run()\n this.lexemes = this.lexer.lexemes\n\n var state = lunr.QueryParser.parseClause\n\n while (state) {\n state = state(this)\n }\n\n return this.query\n}\n\nlunr.QueryParser.prototype.peekLexeme = function () {\n return this.lexemes[this.lexemeIdx]\n}\n\nlunr.QueryParser.prototype.consumeLexeme = function () {\n var lexeme = this.peekLexeme()\n this.lexemeIdx += 1\n return lexeme\n}\n\nlunr.QueryParser.prototype.nextClause = function () {\n var completedClause = this.currentClause\n this.query.clause(completedClause)\n this.currentClause = {}\n}\n\nlunr.QueryParser.parseClause = function (parser) {\n var lexeme = parser.peekLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n switch (lexeme.type) {\n case lunr.QueryLexer.PRESENCE:\n return lunr.QueryParser.parsePresence\n case lunr.QueryLexer.FIELD:\n return lunr.QueryParser.parseField\n case lunr.QueryLexer.TERM:\n return lunr.QueryParser.parseTerm\n default:\n var errorMessage = \"expected either a field or a term, found \" + lexeme.type\n\n if (lexeme.str.length >= 1) {\n errorMessage += \" with value '\" + lexeme.str + \"'\"\n }\n\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n}\n\nlunr.QueryParser.parsePresence = function (parser) {\n var lexeme = parser.consumeLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n switch (lexeme.str) {\n case \"-\":\n parser.currentClause.presence = lunr.Query.presence.PROHIBITED\n break\n case \"+\":\n parser.currentClause.presence = lunr.Query.presence.REQUIRED\n break\n default:\n var errorMessage = \"unrecognised presence operator'\" + lexeme.str + \"'\"\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n var nextLexeme = parser.peekLexeme()\n\n if (nextLexeme == undefined) {\n var errorMessage = \"expecting term or field, found nothing\"\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n switch (nextLexeme.type) {\n case lunr.QueryLexer.FIELD:\n return lunr.QueryParser.parseField\n case lunr.QueryLexer.TERM:\n return lunr.QueryParser.parseTerm\n default:\n var errorMessage = \"expecting term or field, found '\" + nextLexeme.type + \"'\"\n throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n }\n}\n\nlunr.QueryParser.parseField = function (parser) {\n var lexeme = parser.consumeLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n if (parser.query.allFields.indexOf(lexeme.str) == -1) {\n var possibleFields = parser.query.allFields.map(function (f) { return \"'\" + f + \"'\" }).join(', '),\n errorMessage = \"unrecognised field '\" + lexeme.str + \"', possible fields: \" + possibleFields\n\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n parser.currentClause.fields = [lexeme.str]\n\n var nextLexeme = parser.peekLexeme()\n\n if (nextLexeme == undefined) {\n var errorMessage = \"expecting term, found nothing\"\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n switch (nextLexeme.type) {\n case lunr.QueryLexer.TERM:\n return lunr.QueryParser.parseTerm\n default:\n var errorMessage = \"expecting term, found '\" + nextLexeme.type + \"'\"\n throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n }\n}\n\nlunr.QueryParser.parseTerm = function (parser) {\n var lexeme = parser.consumeLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n parser.currentClause.term = lexeme.str.toLowerCase()\n\n if (lexeme.str.indexOf(\"*\") != -1) {\n parser.currentClause.usePipeline = false\n }\n\n var nextLexeme = parser.peekLexeme()\n\n if (nextLexeme == undefined) {\n parser.nextClause()\n return\n }\n\n switch (nextLexeme.type) {\n case lunr.QueryLexer.TERM:\n parser.nextClause()\n return lunr.QueryParser.parseTerm\n case lunr.QueryLexer.FIELD:\n parser.nextClause()\n return lunr.QueryParser.parseField\n case lunr.QueryLexer.EDIT_DISTANCE:\n return lunr.QueryParser.parseEditDistance\n case lunr.QueryLexer.BOOST:\n return lunr.QueryParser.parseBoost\n case lunr.QueryLexer.PRESENCE:\n parser.nextClause()\n return lunr.QueryParser.parsePresence\n default:\n var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n }\n}\n\nlunr.QueryParser.parseEditDistance = function (parser) {\n var lexeme = parser.consumeLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n var editDistance = parseInt(lexeme.str, 10)\n\n if (isNaN(editDistance)) {\n var errorMessage = \"edit distance must be numeric\"\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n parser.currentClause.editDistance = editDistance\n\n var nextLexeme = parser.peekLexeme()\n\n if (nextLexeme == undefined) {\n parser.nextClause()\n return\n }\n\n switch (nextLexeme.type) {\n case lunr.QueryLexer.TERM:\n parser.nextClause()\n return lunr.QueryParser.parseTerm\n case lunr.QueryLexer.FIELD:\n parser.nextClause()\n return lunr.QueryParser.parseField\n case lunr.QueryLexer.EDIT_DISTANCE:\n return lunr.QueryParser.parseEditDistance\n case lunr.QueryLexer.BOOST:\n return lunr.QueryParser.parseBoost\n case lunr.QueryLexer.PRESENCE:\n parser.nextClause()\n return lunr.QueryParser.parsePresence\n default:\n var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n }\n}\n\nlunr.QueryParser.parseBoost = function (parser) {\n var lexeme = parser.consumeLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n var boost = parseInt(lexeme.str, 10)\n\n if (isNaN(boost)) {\n var errorMessage = \"boost must be numeric\"\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n parser.currentClause.boost = boost\n\n var nextLexeme = parser.peekLexeme()\n\n if (nextLexeme == undefined) {\n parser.nextClause()\n return\n }\n\n switch (nextLexeme.type) {\n case lunr.QueryLexer.TERM:\n parser.nextClause()\n return lunr.QueryParser.parseTerm\n case lunr.QueryLexer.FIELD:\n parser.nextClause()\n return lunr.QueryParser.parseField\n case lunr.QueryLexer.EDIT_DISTANCE:\n return lunr.QueryParser.parseEditDistance\n case lunr.QueryLexer.BOOST:\n return lunr.QueryParser.parseBoost\n case lunr.QueryLexer.PRESENCE:\n parser.nextClause()\n return lunr.QueryParser.parsePresence\n default:\n var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n }\n}\n\n /**\n * export the module via AMD, CommonJS or as a browser global\n * Export code from https://github.com/umdjs/umd/blob/master/returnExports.js\n */\n ;(function (root, factory) {\n if (typeof define === 'function' && define.amd) {\n // AMD. Register as an anonymous module.\n define(factory)\n } else if (typeof exports === 'object') {\n /**\n * Node. Does not work with strict CommonJS, but\n * only CommonJS-like enviroments that support module.exports,\n * like Node.\n */\n module.exports = factory()\n } else {\n // Browser globals (root is window)\n root.lunr = factory()\n }\n }(this, function () {\n /**\n * Just return a value to define the module export.\n * This example returns an object, but the module\n * can return a function as the exported value.\n */\n return lunr\n }))\n})();\n", "/*!\n * escape-html\n * Copyright(c) 2012-2013 TJ Holowaychuk\n * Copyright(c) 2015 Andreas Lubbe\n * Copyright(c) 2015 Tiancheng \"Timothy\" Gu\n * MIT Licensed\n */\n\n'use strict';\n\n/**\n * Module variables.\n * @private\n */\n\nvar matchHtmlRegExp = /[\"'&<>]/;\n\n/**\n * Module exports.\n * @public\n */\n\nmodule.exports = escapeHtml;\n\n/**\n * Escape special characters in the given string of html.\n *\n * @param {string} string The string to escape for inserting into HTML\n * @return {string}\n * @public\n */\n\nfunction escapeHtml(string) {\n var str = '' + string;\n var match = matchHtmlRegExp.exec(str);\n\n if (!match) {\n return str;\n }\n\n var escape;\n var html = '';\n var index = 0;\n var lastIndex = 0;\n\n for (index = match.index; index < str.length; index++) {\n switch (str.charCodeAt(index)) {\n case 34: // \"\n escape = '"';\n break;\n case 38: // &\n escape = '&';\n break;\n case 39: // '\n escape = ''';\n break;\n case 60: // <\n escape = '<';\n break;\n case 62: // >\n escape = '>';\n break;\n default:\n continue;\n }\n\n if (lastIndex !== index) {\n html += str.substring(lastIndex, index);\n }\n\n lastIndex = index + 1;\n html += escape;\n }\n\n return lastIndex !== index\n ? html + str.substring(lastIndex, index)\n : html;\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A RTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport lunr from \"lunr\"\n\nimport \"~/polyfills\"\n\nimport { Search, SearchIndexConfig } from \"../../_\"\nimport {\n SearchMessage,\n SearchMessageType\n} from \"../message\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Add support for usage with `iframe-worker` polyfill\n *\n * While `importScripts` is synchronous when executed inside of a web worker,\n * it's not possible to provide a synchronous polyfilled implementation. The\n * cool thing is that awaiting a non-Promise is a noop, so extending the type\n * definition to return a `Promise` shouldn't break anything.\n *\n * @see https://bit.ly/2PjDnXi - GitHub comment\n */\ndeclare global {\n function importScripts(...urls: string[]): Promise | void\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Search index\n */\nlet index: Search\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch (= import) multi-language support through `lunr-languages`\n *\n * This function automatically imports the stemmers necessary to process the\n * languages, which are defined through the search index configuration.\n *\n * If the worker runs inside of an `iframe` (when using `iframe-worker` as\n * a shim), the base URL for the stemmers to be loaded must be determined by\n * searching for the first `script` element with a `src` attribute, which will\n * contain the contents of this script.\n *\n * @param config - Search index configuration\n *\n * @returns Promise resolving with no result\n */\nasync function setupSearchLanguages(\n config: SearchIndexConfig\n): Promise {\n let base = \"../lunr\"\n\n /* Detect `iframe-worker` and fix base URL */\n if (typeof parent !== \"undefined\" && \"IFrameWorker\" in parent) {\n const worker = document.querySelector(\"script[src]\")!\n const [path] = worker.src.split(\"/worker\")\n\n /* Prefix base with path */\n base = base.replace(\"..\", path)\n }\n\n /* Add scripts for languages */\n const scripts = []\n for (const lang of config.lang) {\n switch (lang) {\n\n /* Add segmenter for Japanese */\n case \"ja\":\n scripts.push(`${base}/tinyseg.js`)\n break\n\n /* Add segmenter for Hindi and Thai */\n case \"hi\":\n case \"th\":\n scripts.push(`${base}/wordcut.js`)\n break\n }\n\n /* Add language support */\n if (lang !== \"en\")\n scripts.push(`${base}/min/lunr.${lang}.min.js`)\n }\n\n /* Add multi-language support */\n if (config.lang.length > 1)\n scripts.push(`${base}/min/lunr.multi.min.js`)\n\n /* Load scripts synchronously */\n if (scripts.length)\n await importScripts(\n `${base}/min/lunr.stemmer.support.min.js`,\n ...scripts\n )\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Message handler\n *\n * @param message - Source message\n *\n * @returns Target message\n */\nexport async function handler(\n message: SearchMessage\n): Promise {\n switch (message.type) {\n\n /* Search setup message */\n case SearchMessageType.SETUP:\n await setupSearchLanguages(message.data.config)\n index = new Search(message.data)\n return {\n type: SearchMessageType.READY\n }\n\n /* Search query message */\n case SearchMessageType.QUERY:\n return {\n type: SearchMessageType.RESULT,\n data: index ? index.search(message.data) : { items: [] }\n }\n\n /* All other messages */\n default:\n throw new TypeError(\"Invalid message type\")\n }\n}\n\n/* ----------------------------------------------------------------------------\n * Worker\n * ------------------------------------------------------------------------- */\n\n/* @ts-expect-error - expose Lunr.js in global scope, or stemmers won't work */\nself.lunr = lunr\n\n/* Handle messages */\naddEventListener(\"message\", async ev => {\n postMessage(await handler(ev.data))\n})\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Polyfills\n * ------------------------------------------------------------------------- */\n\n/* Polyfill `Object.entries` */\nif (!Object.entries)\n Object.entries = function (obj: object) {\n const data: [string, string][] = []\n for (const key of Object.keys(obj))\n // @ts-expect-error - ignore property access warning\n data.push([key, obj[key]])\n\n /* Return entries */\n return data\n }\n\n/* Polyfill `Object.values` */\nif (!Object.values)\n Object.values = function (obj: object) {\n const data: string[] = []\n for (const key of Object.keys(obj))\n // @ts-expect-error - ignore property access warning\n data.push(obj[key])\n\n /* Return values */\n return data\n }\n\n/* ------------------------------------------------------------------------- */\n\n/* Polyfills for `Element` */\nif (typeof Element !== \"undefined\") {\n\n /* Polyfill `Element.scrollTo` */\n if (!Element.prototype.scrollTo)\n Element.prototype.scrollTo = function (\n x?: ScrollToOptions | number, y?: number\n ): void {\n if (typeof x === \"object\") {\n this.scrollLeft = x.left!\n this.scrollTop = x.top!\n } else {\n this.scrollLeft = x!\n this.scrollTop = y!\n }\n }\n\n /* Polyfill `Element.replaceWith` */\n if (!Element.prototype.replaceWith)\n Element.prototype.replaceWith = function (\n ...nodes: Array\n ): void {\n const parent = this.parentNode\n if (parent) {\n if (nodes.length === 0)\n parent.removeChild(this)\n\n /* Replace children and create text nodes */\n for (let i = nodes.length - 1; i >= 0; i--) {\n let node = nodes[i]\n if (typeof node !== \"object\")\n node = document.createTextNode(node)\n else if (node.parentNode)\n node.parentNode.removeChild(node)\n\n /* Replace child or insert before previous sibling */\n if (!i)\n parent.replaceChild(node, this)\n else\n parent.insertBefore(this.previousSibling!, node)\n }\n }\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport escapeHTML from \"escape-html\"\n\nimport { SearchIndexDocument } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search document\n */\nexport interface SearchDocument extends SearchIndexDocument {\n parent?: SearchIndexDocument /* Parent article */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search document mapping\n */\nexport type SearchDocumentMap = Map\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create a search document mapping\n *\n * @param docs - Search index documents\n *\n * @returns Search document map\n */\nexport function setupSearchDocumentMap(\n docs: SearchIndexDocument[]\n): SearchDocumentMap {\n const documents = new Map()\n const parents = new Set()\n for (const doc of docs) {\n const [path, hash] = doc.location.split(\"#\")\n\n /* Extract location, title and tags */\n const location = doc.location\n const title = doc.title\n const tags = doc.tags\n\n /* Escape and cleanup text */\n const text = escapeHTML(doc.text)\n .replace(/\\s+(?=[,.:;!?])/g, \"\")\n .replace(/\\s+/g, \" \")\n\n /* Handle section */\n if (hash) {\n const parent = documents.get(path)!\n\n /* Ignore first section, override article */\n if (!parents.has(parent)) {\n parent.title = doc.title\n parent.text = text\n\n /* Remember that we processed the article */\n parents.add(parent)\n\n /* Add subsequent section */\n } else {\n documents.set(location, {\n location,\n title,\n text,\n parent\n })\n }\n\n /* Add article */\n } else {\n documents.set(location, {\n location,\n title,\n text,\n ...tags && { tags }\n })\n }\n }\n return documents\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport escapeHTML from \"escape-html\"\n\nimport { SearchIndexConfig } from \"../_\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search highlight function\n *\n * @param value - Value\n *\n * @returns Highlighted value\n */\nexport type SearchHighlightFn = (value: string) => string\n\n/**\n * Search highlight factory function\n *\n * @param query - Query value\n *\n * @returns Search highlight function\n */\nexport type SearchHighlightFactoryFn = (query: string) => SearchHighlightFn\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create a search highlighter\n *\n * @param config - Search index configuration\n * @param escape - Whether to escape HTML\n *\n * @returns Search highlight factory function\n */\nexport function setupSearchHighlighter(\n config: SearchIndexConfig, escape: boolean\n): SearchHighlightFactoryFn {\n const separator = new RegExp(config.separator, \"img\")\n const highlight = (_: unknown, data: string, term: string) => {\n return `${data}${term}`\n }\n\n /* Return factory function */\n return (query: string) => {\n query = query\n .replace(/[\\s*+\\-:~^]+/g, \" \")\n .trim()\n\n /* Create search term match expression */\n const match = new RegExp(`(^|${config.separator})(${\n query\n .replace(/[|\\\\{}()[\\]^$+*?.-]/g, \"\\\\$&\")\n .replace(separator, \"|\")\n })`, \"img\")\n\n /* Highlight string value */\n return value => (\n escape\n ? escapeHTML(value)\n : value\n )\n .replace(match, highlight)\n .replace(/<\\/mark>(\\s+)]*>/img, \"$1\")\n }\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search query clause\n */\nexport interface SearchQueryClause {\n presence: lunr.Query.presence /* Clause presence */\n term: string /* Clause term */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search query terms\n */\nexport type SearchQueryTerms = Record\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Parse a search query for analysis\n *\n * @param value - Query value\n *\n * @returns Search query clauses\n */\nexport function parseSearchQuery(\n value: string\n): SearchQueryClause[] {\n const query = new (lunr as any).Query([\"title\", \"text\"])\n const parser = new (lunr as any).QueryParser(value, query)\n\n /* Parse and return query clauses */\n parser.parse()\n return query.clauses\n}\n\n/**\n * Analyze the search query clauses in regard to the search terms found\n *\n * @param query - Search query clauses\n * @param terms - Search terms\n *\n * @returns Search query terms\n */\nexport function getSearchQueryTerms(\n query: SearchQueryClause[], terms: string[]\n): SearchQueryTerms {\n const clauses = new Set(query)\n\n /* Match query clauses against terms */\n const result: SearchQueryTerms = {}\n for (let t = 0; t < terms.length; t++)\n for (const clause of clauses)\n if (terms[t].startsWith(clause.term)) {\n result[clause.term] = true\n clauses.delete(clause)\n }\n\n /* Annotate unmatched non-stopword query clauses */\n for (const clause of clauses)\n if (lunr.stopWordFilter?.(clause.term as any))\n result[clause.term] = false\n\n /* Return query terms */\n return result\n}\n", "/*\n * Copyright (c) 2016-2022 Martin Donath \n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n SearchDocument,\n SearchDocumentMap,\n setupSearchDocumentMap\n} from \"../document\"\nimport {\n SearchHighlightFactoryFn,\n setupSearchHighlighter\n} from \"../highlighter\"\nimport { SearchOptions } from \"../options\"\nimport {\n SearchQueryTerms,\n getSearchQueryTerms,\n parseSearchQuery\n} from \"../query\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search index configuration\n */\nexport interface SearchIndexConfig {\n lang: string[] /* Search languages */\n separator: string /* Search separator */\n}\n\n/**\n * Search index document\n */\nexport interface SearchIndexDocument {\n location: string /* Document location */\n title: string /* Document title */\n text: string /* Document text */\n tags?: string[] /* Document tags */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search index\n *\n * This interfaces describes the format of the `search_index.json` file which\n * is automatically built by the MkDocs search plugin.\n */\nexport interface SearchIndex {\n config: SearchIndexConfig /* Search index configuration */\n docs: SearchIndexDocument[] /* Search index documents */\n options: SearchOptions /* Search options */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search metadata\n */\nexport interface SearchMetadata {\n score: number /* Score (relevance) */\n terms: SearchQueryTerms /* Search query terms */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search result document\n */\nexport type SearchResultDocument = SearchDocument & SearchMetadata\n\n/**\n * Search result item\n */\nexport type SearchResultItem = SearchResultDocument[]\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search result\n */\nexport interface SearchResult {\n items: SearchResultItem[] /* Search result items */\n suggestions?: string[] /* Search suggestions */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Compute the difference of two lists of strings\n *\n * @param a - 1st list of strings\n * @param b - 2nd list of strings\n *\n * @returns Difference\n */\nfunction difference(a: string[], b: string[]): string[] {\n const [x, y] = [new Set(a), new Set(b)]\n return [\n ...new Set([...x].filter(value => !y.has(value)))\n ]\n}\n\n/* ----------------------------------------------------------------------------\n * Class\n * ------------------------------------------------------------------------- */\n\n/**\n * Search index\n */\nexport class Search {\n\n /**\n * Search document mapping\n *\n * A mapping of URLs (including hash fragments) to the actual articles and\n * sections of the documentation. The search document mapping must be created\n * regardless of whether the index was prebuilt or not, as Lunr.js itself\n * only stores the actual index.\n */\n protected documents: SearchDocumentMap\n\n /**\n * Search highlight factory function\n */\n protected highlight: SearchHighlightFactoryFn\n\n /**\n * The underlying Lunr.js search index\n */\n protected index: lunr.Index\n\n /**\n * Search options\n */\n protected options: SearchOptions\n\n /**\n * Create the search integration\n *\n * @param data - Search index\n */\n public constructor({ config, docs, options }: SearchIndex) {\n this.options = options\n\n /* Set up document map and highlighter factory */\n this.documents = setupSearchDocumentMap(docs)\n this.highlight = setupSearchHighlighter(config, false)\n\n /* Set separator for tokenizer */\n lunr.tokenizer.separator = new RegExp(config.separator)\n\n /* Create search index */\n this.index = lunr(function () {\n\n /* Set up multi-language support */\n if (config.lang.length === 1 && config.lang[0] !== \"en\") {\n this.use((lunr as any)[config.lang[0]])\n } else if (config.lang.length > 1) {\n this.use((lunr as any).multiLanguage(...config.lang))\n }\n\n /* Compute functions to be removed from the pipeline */\n const fns = difference([\n \"trimmer\", \"stopWordFilter\", \"stemmer\"\n ], options.pipeline)\n\n /* Remove functions from the pipeline for registered languages */\n for (const lang of config.lang.map(language => (\n language === \"en\" ? lunr : (lunr as any)[language]\n ))) {\n for (const fn of fns) {\n this.pipeline.remove(lang[fn])\n this.searchPipeline.remove(lang[fn])\n }\n }\n\n /* Set up reference */\n this.ref(\"location\")\n\n /* Set up fields */\n this.field(\"title\", { boost: 1e3 })\n this.field(\"text\")\n this.field(\"tags\", { boost: 1e6 })\n\n /* Index documents */\n for (const doc of docs)\n this.add(doc)\n })\n }\n\n /**\n * Search for matching documents\n *\n * The search index which MkDocs provides is divided up into articles, which\n * contain the whole content of the individual pages, and sections, which only\n * contain the contents of the subsections obtained by breaking the individual\n * pages up at `h1` ... `h6`. As there may be many sections on different pages\n * with identical titles (for example within this very project, e.g. \"Usage\"\n * or \"Installation\"), they need to be put into the context of the containing\n * page. For this reason, section results are grouped within their respective\n * articles which are the top-level results that are returned.\n *\n * @param query - Query value\n *\n * @returns Search results\n */\n public search(query: string): SearchResult {\n if (query) {\n try {\n const highlight = this.highlight(query)\n\n /* Parse query to extract clauses for analysis */\n const clauses = parseSearchQuery(query)\n .filter(clause => (\n clause.presence !== lunr.Query.presence.PROHIBITED\n ))\n\n /* Perform search and post-process results */\n const groups = this.index.search(`${query}*`)\n\n /* Apply post-query boosts based on title and search query terms */\n .reduce((item, { ref, score, matchData }) => {\n const document = this.documents.get(ref)\n if (typeof document !== \"undefined\") {\n const { location, title, text, tags, parent } = document\n\n /* Compute and analyze search query terms */\n const terms = getSearchQueryTerms(\n clauses,\n Object.keys(matchData.metadata)\n )\n\n /* Highlight title and text and apply post-query boosts */\n const boost = +!parent + +Object.values(terms).every(t => t)\n item.push({\n location,\n title: highlight(title),\n text: highlight(text),\n ...tags && { tags: tags.map(highlight) },\n score: score * (1 + boost),\n terms\n })\n }\n return item\n }, [])\n\n /* Sort search results again after applying boosts */\n .sort((a, b) => b.score - a.score)\n\n /* Group search results by page */\n .reduce((items, result) => {\n const document = this.documents.get(result.location)\n if (typeof document !== \"undefined\") {\n const ref = \"parent\" in document\n ? document.parent!.location\n : document.location\n items.set(ref, [...items.get(ref) || [], result])\n }\n return items\n }, new Map())\n\n /* Generate search suggestions, if desired */\n let suggestions: string[] | undefined\n if (this.options.suggestions) {\n const titles = this.index.query(builder => {\n for (const clause of clauses)\n builder.term(clause.term, {\n fields: [\"title\"],\n presence: lunr.Query.presence.REQUIRED,\n wildcard: lunr.Query.wildcard.TRAILING\n })\n })\n\n /* Retrieve suggestions for best match */\n suggestions = titles.length\n ? Object.keys(titles[0].matchData.metadata)\n : []\n }\n\n /* Return items and suggestions */\n return {\n items: [...groups.values()],\n ...typeof suggestions !== \"undefined\" && { suggestions }\n }\n\n /* Log errors to console (for now) */\n } catch {\n console.warn(`Invalid query: ${query} \u2013 see https://bit.ly/2s3ChXG`)\n }\n }\n\n /* Return nothing in case of error or empty query */\n return { items: [] }\n }\n}\n"], - "mappings": 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    Trial data:

    - 
    `,
-    on_load: function () {
-      const trial_data = jsPsych.data.get().filter({ run: run }).ignore("run").values();
-      const trial_json = JSON.stringify(trial_data, null, 2);
-      jsPsych.getDisplayElement().querySelector("pre").innerText = trial_json;
-    },
-    choices: ["Repeat demo"],
-  };
-
-  const trial_loop = {
-    timeline: [trial, show_data],
-    loop_function: function () {
-      run++;
-      return true;
-    },
-  };
-
-  if (setup_timeline) {
-    return [setup, start, trial_loop];
-  } else {
-    return [start, trial_loop];
-  }
-}
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deleted file mode 100755
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--- a/7.2/demos/docs-demo.css
+++ /dev/null
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-.jspsych-btn {margin-bottom: 10px;}
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-          "unicode-bidi": 0,
-          visibility: 0,
-          "word-spacing": 0,
-          "writing-mode": 0,
-        };
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-            j = b.left + (g.win.pageXOffset || e.scrollLeft || d.scrollLeft) - h;
-          return { y: i, x: j };
-        };
-        return (
-          (c.getElementByPoint = function (a, b) {
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-              var e = ca(d),
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-              (f.x = a - e.x), (f.y = b - e.y), (f.width = f.height = 1);
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-              g.length && (d = g[g.length - 1]);
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-            return d ? w(d) : null;
-          }),
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-          }),
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-                  : a.node.getAttribute("transform")),
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-            )
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-          } else (b = c._.rgTransform.test(b) ? m(b).replace(/\.{3}|\u2026/g, a._.transform || "") : c._.svgTransform2string(b)), l(b, "array") && (b = c.path ? c.path.toString.call(b) : m(b)), (a._.transform = b);
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-          return d ? e : void (a.matrix = e);
-        }
-        function i(a) {
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-          function d(a) {
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-              ((b = b.substring(1)),
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-              b(e, "clip-path"),
-              d(e);
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-                (d = d.add(
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-                )),
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-        };
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-              "svg" != e.type && (e = e.parent());
-
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-              i.push(h(e));
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-            return {
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-              globalMatrix: f,
-              totalMatrix: j,
-              localMatrix: g,
-              diffMatrix: f.clone().add(g.invert()),
-              global: f.toTransformString(),
-              total: j.toTransformString(),
-              local: k,
-              toString: t,
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-          }
-          return (
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-              : h(this, a),
-            this.node &&
-              ("linearGradient" == this.type || "radialGradient" == this.type
-                ? o(this.node, { gradientTransform: this.matrix })
-                : "pattern" == this.type
-                ? o(this.node, { patternTransform: this.matrix })
-                : o(this.node, { transform: this.matrix })),
-            this
-          );
-        }),
-          (k.parent = function () {
-            return s(this.node.parentNode);
-          }),
-          (k.append = k.add =
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-              if (a) {
-                if ("set" == a.type) {
-                  var b = this;
-                  return (
-                    a.forEach(function (a) {
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-                    }),
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-          }),
-          (k.prepend = function (a) {
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-                var b,
-                  c = this;
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-                    b ? b.after(a) : c.prepend(a), (b = a);
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-              a = s(a);
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-              var b = this;
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-              (a.paper = this.paper),
-              this
-            );
-          }),
-          (k.after = function (a) {
-            a = s(a);
-            var b = a.parent();
-            return (
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-                : this.node.parentNode.appendChild(a.node),
-              this.parent() && this.parent().add(),
-              b && b.add(),
-              (a.paper = this.paper),
-              this
-            );
-          }),
-          (k.insertBefore = function (a) {
-            a = s(a);
-            var b = this.parent();
-            return (
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-              (this.paper = a.paper),
-              b && b.add(),
-              a.parent() && a.parent().add(),
-              this
-            );
-          }),
-          (k.insertAfter = function (a) {
-            a = s(a);
-            var b = this.parent();
-            return (
-              a.node.parentNode.insertBefore(this.node, a.node.nextSibling),
-              (this.paper = a.paper),
-              b && b.add(),
-              a.parent() && a.parent().add(),
-              this
-            );
-          }),
-          (k.remove = function () {
-            var a = this.parent();
-            return (
-              this.node.parentNode && this.node.parentNode.removeChild(this.node),
-              delete this.paper,
-              (this.removed = !0),
-              a && a.add(),
-              this
-            );
-          }),
-          (k.select = function (a) {
-            return s(this.node.querySelector(a));
-          }),
-          (k.selectAll = function (a) {
-            for (
-              var b = this.node.querySelectorAll(a), d = (c.set || Array)(), e = 0;
-              e < b.length;
-              e++
-            )
-              d.push(s(b[e]));
-            return d;
-          }),
-          (k.asPX = function (a, b) {
-            return null == b && (b = this.attr(a)), +n(this, a, b);
-          }),
-          (k.use = function () {
-            var a,
-              b = this.node.id;
-            return (
-              b || ((b = this.id), o(this.node, { id: b })),
-              (a =
-                "linearGradient" == this.type ||
-                "radialGradient" == this.type ||
-                "pattern" == this.type
-                  ? p(this.type, this.node.parentNode)
-                  : p("use", this.node.parentNode)),
-              o(a.node, { "xlink:href": "#" + b }),
-              (a.original = this),
-              a
-            );
-          }),
-          (k.clone = function () {
-            var a = s(this.node.cloneNode(!0));
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-          }),
-          (k.toDefs = function () {
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-            return a.appendChild(this.node), this;
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-                  y: b,
-                  width: c,
-                  height: d,
-                  patternUnits: "userSpaceOnUse",
-                  id: e.id,
-                  viewBox: [a, b, c, d].join(" "),
-                }),
-                e.node.appendChild(this.node),
-                e
-              );
-            }),
-          (k.marker = function (a, b, c, d, e, f) {
-            var g = p("marker", q(this));
-            return (
-              null == a && (a = this.getBBox()),
-              l(a, "object") &&
-                "x" in a &&
-                ((b = a.y),
-                (c = a.width),
-                (d = a.height),
-                (e = a.refX || a.cx),
-                (f = a.refY || a.cy),
-                (a = a.x)),
-              o(g.node, {
-                viewBox: [a, b, c, d].join(" "),
-                markerWidth: c,
-                markerHeight: d,
-                orient: "auto",
-                refX: e || 0,
-                refY: f || 0,
-                id: g.id,
-              }),
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-              g
-            );
-          });
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-          if (1 == arguments.length) {
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-              for (var f in a) a[r](f) && this.data(f, a[f]);
-              return this;
-            }
-            return b("snap.data.get." + this.id, this, e[a], a), e[a];
-          }
-          return (e[a] = d), b("snap.data.set." + this.id, this, d, a), this;
-        }),
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-          }),
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-          (k.innerSVG = j()),
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-                d = c.format(
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-                  {
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-                    y: +b.y.toFixed(3),
-                    width: +b.width.toFixed(3),
-                    height: +b.height.toFixed(3),
-                    contents: this.outerSVG(),
-                  }
-                );
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-          }),
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-            var a = this,
-              b = [];
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-                  b.push({
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-                    status: function (b) {
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-                    stop: function () {
-                      a.stop();
-                    },
-                  });
-                })(a.anims[c]);
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-          }),
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-            return h && b.once("mina.finish." + j.id, h), j;
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-            return this;
-          }),
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-                var u = j(g, "array") ? g.length : 1;
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-                }
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-            if ("text" == this.type) {
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-            }
-            b.stop();
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-          b.on("snap.util.getattr.transform", function () {
-            return b.stop(), this.transform();
-          })(-1),
-          b.on("snap.util.getattr.textpath", function () {
-            return b.stop(), this.textPath;
-          })(-1),
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-              return function () {
-                b.stop();
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-            }
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-                if ("" == c || !c) return void (this.node.style[d] = "none");
-                if ("marker" == c.type) {
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-                  return e || p(c.node, { id: c.id }), void (this.node.style[d] = q(e));
-                }
-              };
-            }
-            b.on("snap.util.getattr.marker-end", c("end"))(-1),
-              b.on("snap.util.getattr.markerEnd", c("end"))(-1),
-              b.on("snap.util.getattr.marker-start", c("start"))(-1),
-              b.on("snap.util.getattr.markerStart", c("start"))(-1),
-              b.on("snap.util.getattr.marker-mid", c("mid"))(-1),
-              b.on("snap.util.getattr.markerMid", c("mid"))(-1),
-              b.on("snap.util.attr.marker-end", d("end"))(-1),
-              b.on("snap.util.attr.markerEnd", d("end"))(-1),
-              b.on("snap.util.attr.marker-start", d("start"))(-1),
-              b.on("snap.util.attr.markerStart", d("start"))(-1),
-              b.on("snap.util.attr.marker-mid", d("mid"))(-1),
-              b.on("snap.util.attr.markerMid", d("mid"))(-1);
-          })(),
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-            return "rect" == this.type && p(this.node, "rx") == p(this.node, "ry")
-              ? (b.stop(), p(this.node, "rx"))
-              : void 0;
-          })(-1),
-          b.on("snap.util.getattr.text", function () {
-            if ("text" == this.type || "tspan" == this.type) {
-              b.stop();
-              var a = i(this.node);
-              return 1 == a.length ? a[0] : a;
-            }
-          })(-1),
-          b.on("snap.util.getattr.#text", function () {
-            return this.node.textContent;
-          })(-1),
-          b.on("snap.util.getattr.fill", function (c) {
-            if (!c) {
-              b.stop();
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-              return a(a.deurl(d)) || d;
-            }
-          })(-1),
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-            if (!c) {
-              b.stop();
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-              return a(a.deurl(d)) || d;
-            }
-          })(-1),
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-            b.stop();
-            var c = p(this.node, "viewBox");
-            return c ? ((c = c.split(s)), a._.box(+c[0], +c[1], +c[2], +c[3])) : void 0;
-          })(-1),
-          b.on("snap.util.getattr.points", function () {
-            var a = p(this.node, "points");
-            return b.stop(), a ? a.split(s) : void 0;
-          })(-1),
-          b.on("snap.util.getattr.path", function () {
-            var a = p(this.node, "d");
-            return b.stop(), a;
-          })(-1),
-          b.on("snap.util.getattr.class", function () {
-            return this.node.className.baseVal;
-          })(-1),
-          b.on("snap.util.getattr.fontSize", j)(-1),
-          b.on("snap.util.getattr.font-size", j)(-1);
-      }),
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-        var f = /\S+/g,
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-              i = ~~(g / 8),
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-              s = 0;
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-              if (B) {
-                if (o[B.x.toFixed(4)] == B.y.toFixed(4)) continue;
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-                var C = v.t + U((B[z] - v[z]) / (w[z] - v[z])) * (w.t - v.t),
-                  D = x.t + U((B[A] - x[A]) / (y[A] - x[A])) * (y.t - x.t);
-                C >= 0 &&
-                  1 >= C &&
-                  D >= 0 &&
-                  1 >= D &&
-                  (c ? q++ : q.push({ x: B.x, y: B.y, t1: C, t2: D }));
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-                  }
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-              a,
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-                ["M", b, c],
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-              2 ==
-              1
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-                (d = c[5]),
-                (g = c[6]);
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-            q = f(m, n, o - m, p - n);
-          return (b.bbox = L(q)), q;
-        }
-        function y(a, b, c, d, e) {
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-            return [
-              ["M", +a + +e, b],
-              ["l", c - 2 * e, 0],
-              ["a", e, e, 0, 0, 1, e, e],
-              ["l", 0, d - 2 * e],
-              ["a", e, e, 0, 0, 1, -e, e],
-              ["l", 2 * e - c, 0],
-              ["a", e, e, 0, 0, 1, -e, -e],
-              ["l", 0, 2 * e - d],
-              ["a", e, e, 0, 0, 1, e, -e],
-              ["z"],
-            ];
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-          return (f.toString = g), f;
-        }
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-            (null == e && null == d && (d = c), (a = +a), (b = +b), (c = +c), (d = +d), null != e)
-          )
-            var f = Math.PI / 180,
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-              k = b + c * Math.sin(-e * f),
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-                ["M", h, j],
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-              ["M", a, b],
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-              ["a", c, d, 0, 1, 1, 0, -2 * d],
-              ["z"],
-            ];
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-        }
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-            i = 0,
-            j = 0,
-            k = 0,
-            l = 0,
-            m = 0;
-          "M" == b[0][0] &&
-            ((i = b[0][1]), (j = b[0][2]), (k = i), (l = j), m++, f.push(["M", i, j]));
-          for (var n = m, o = b.length; o > n; n++) {
-            var p = (f[n] = []),
-              q = b[n];
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-                  (p[1] = q[1]),
-                    (p[2] = q[2]),
-                    (p[3] = q[3]),
-                    (p[4] = q[4]),
-                    (p[5] = q[5]),
-                    (p[6] = +(q[6] - i).toFixed(3)),
-                    (p[7] = +(q[7] - j).toFixed(3));
-                  break;
-                case "v":
-                  p[1] = +(q[1] - j).toFixed(3);
-                  break;
-                case "m":
-                  (k = q[1]), (l = q[2]);
-                default:
-                  for (var r = 1, s = q.length; s > r; r++)
-                    p[r] = +(q[r] - (r % 2 ? i : j)).toFixed(3);
-              }
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-              (p = f[n] = []), "m" == q[0] && ((k = q[1] + i), (l = q[2] + j));
-              for (var t = 0, u = q.length; u > t; t++) f[n][t] = q[t];
-            }
-            var v = f[n].length;
-            switch (f[n][0]) {
-              case "z":
-                (i = k), (j = l);
-                break;
-              case "h":
-                i += +f[n][v - 1];
-                break;
-              case "v":
-                j += +f[n][v - 1];
-                break;
-              default:
-                (i += +f[n][v - 2]), (j += +f[n][v - 1]);
-            }
-          }
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-        }
-        function B(b) {
-          var c = e(b);
-          if (c.abs) return h(c.abs);
-          if (
-            ((K(b, "array") && K(b && b[0], "array")) || (b = a.parsePathString(b)),
-            !b || !b.length)
-          )
-            return [["M", 0, 0]];
-          var d,
-            f = [],
-            i = 0,
-            j = 0,
-            k = 0,
-            l = 0,
-            m = 0;
-          "M" == b[0][0] &&
-            ((i = +b[0][1]), (j = +b[0][2]), (k = i), (l = j), m++, (f[0] = ["M", i, j]));
-          for (
-            var n,
-              o,
-              p =
-                3 == b.length &&
-                "M" == b[0][0] &&
-                "R" == b[1][0].toUpperCase() &&
-                "Z" == b[2][0].toUpperCase(),
-              q = m,
-              r = b.length;
-            r > q;
-            q++
-          ) {
-            if ((f.push((n = [])), (o = b[q]), (d = o[0]), d != d.toUpperCase()))
-              switch (((n[0] = d.toUpperCase()), n[0])) {
-                case "A":
-                  (n[1] = o[1]),
-                    (n[2] = o[2]),
-                    (n[3] = o[3]),
-                    (n[4] = o[4]),
-                    (n[5] = o[5]),
-                    (n[6] = +o[6] + i),
-                    (n[7] = +o[7] + j);
-                  break;
-                case "V":
-                  n[1] = +o[1] + j;
-                  break;
-                case "H":
-                  n[1] = +o[1] + i;
-                  break;
-                case "R":
-                  for (var s = [i, j].concat(o.slice(1)), t = 2, u = s.length; u > t; t++)
-                    (s[t] = +s[t] + i), (s[++t] = +s[t] + j);
-                  f.pop(), (f = f.concat(I(s, p)));
-                  break;
-                case "O":
-                  f.pop(), (s = z(i, j, o[1], o[2])), s.push(s[0]), (f = f.concat(s));
-                  break;
-                case "U":
-                  f.pop(),
-                    (f = f.concat(z(i, j, o[1], o[2], o[3]))),
-                    (n = ["U"].concat(f[f.length - 1].slice(-2)));
-                  break;
-                case "M":
-                  (k = +o[1] + i), (l = +o[2] + j);
-                default:
-                  for (t = 1, u = o.length; u > t; t++) n[t] = +o[t] + (t % 2 ? i : j);
-              }
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-                f.pop(),
-                (f = f.concat(I(s, p))),
-                (n = ["R"].concat(o.slice(-2)));
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-            else if ("U" == d)
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-                (f = f.concat(z(i, j, o[1], o[2], o[3]))),
-                (n = ["U"].concat(f[f.length - 1].slice(-2)));
-            else for (var v = 0, w = o.length; w > v; v++) n[v] = o[v];
-            if (((d = d.toUpperCase()), "O" != d))
-              switch (n[0]) {
-                case "Z":
-                  (i = +k), (j = +l);
-                  break;
-                case "H":
-                  i = n[1];
-                  break;
-                case "V":
-                  j = n[1];
-                  break;
-                case "M":
-                  (k = n[n.length - 2]), (l = n[n.length - 1]);
-                default:
-                  (i = n[n.length - 2]), (j = n[n.length - 1]);
-              }
-          }
-          return (f.toString = g), (c.abs = h(f)), f;
-        }
-        function C(a, b, c, d) {
-          return [a, b, c, d, c, d];
-        }
-        function D(a, b, c, d, e, f) {
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-            h = 2 / 3;
-          return [g * a + h * c, g * b + h * d, g * e + h * c, g * f + h * d, e, f];
-        }
-        function E(b, c, d, e, f, g, h, i, j, k) {
-          var l,
-            m = (120 * Q) / 180,
-            n = (Q / 180) * (+f || 0),
-            o = [],
-            p = a._.cacher(function (a, b, c) {
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-              return { x: d, y: e };
-            });
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-          if (k) (y = k[0]), (z = k[1]), (w = k[2]), (x = k[3]);
-          else {
-            (l = p(b, c, -n)), (b = l.x), (c = l.y), (l = p(i, j, -n)), (i = l.x), (j = l.y);
-            var q = (P.cos((Q / 180) * f), P.sin((Q / 180) * f), (b - i) / 2),
-              r = (c - j) / 2,
-              s = (q * q) / (d * d) + (r * r) / (e * e);
-            s > 1 && ((s = P.sqrt(s)), (d = s * d), (e = s * e));
-            var t = d * d,
-              u = e * e,
-              v =
-                (g == h ? -1 : 1) *
-                P.sqrt(U((t * u - t * r * r - u * q * q) / (t * r * r + u * q * q))),
-              w = (v * d * r) / e + (b + i) / 2,
-              x = (v * -e * q) / d + (c + j) / 2,
-              y = P.asin(((c - x) / e).toFixed(9)),
-              z = P.asin(((j - x) / e).toFixed(9));
-            (y = w > b ? Q - y : y),
-              (z = w > i ? Q - z : z),
-              0 > y && (y = 2 * Q + y),
-              0 > z && (z = 2 * Q + z),
-              h && y > z && (y -= 2 * Q),
-              !h && z > y && (z -= 2 * Q);
-          }
-          var A = z - y;
-          if (U(A) > m) {
-            var B = z,
-              C = i,
-              D = j;
-            (z = y + m * (h && z > y ? 1 : -1)),
-              (i = w + d * P.cos(z)),
-              (j = x + e * P.sin(z)),
-              (o = E(i, j, d, e, f, 0, h, C, D, [z, B, w, x]));
-          }
-          A = z - y;
-          var F = P.cos(y),
-            G = P.sin(y),
-            H = P.cos(z),
-            I = P.sin(z),
-            J = P.tan(A / 4),
-            K = (4 / 3) * d * J,
-            L = (4 / 3) * e * J,
-            M = [b, c],
-            N = [b + K * G, c - L * F],
-            O = [i + K * I, j - L * H],
-            R = [i, j];
-          if (((N[0] = 2 * M[0] - N[0]), (N[1] = 2 * M[1] - N[1]), k)) return [N, O, R].concat(o);
-          o = [N, O, R].concat(o).join().split(",");
-          for (var S = [], T = 0, V = o.length; V > T; T++)
-            S[T] = T % 2 ? p(o[T - 1], o[T], n).y : p(o[T], o[T + 1], n).x;
-          return S;
-        }
-        function F(a, b, c, d, e, f, g, h) {
-          for (var i, j, k, l, m, n, o, p, q = [], r = [[], []], s = 0; 2 > s; ++s)
-            if (
-              (0 == s
-                ? ((j = 6 * a - 12 * c + 6 * e),
-                  (i = -3 * a + 9 * c - 9 * e + 3 * g),
-                  (k = 3 * c - 3 * a))
-                : ((j = 6 * b - 12 * d + 6 * f),
-                  (i = -3 * b + 9 * d - 9 * f + 3 * h),
-                  (k = 3 * d - 3 * b)),
-              U(i) < 1e-12)
-            ) {
-              if (U(j) < 1e-12) continue;
-              (l = -k / j), l > 0 && 1 > l && q.push(l);
-            } else
-              (o = j * j - 4 * k * i),
-                (p = P.sqrt(o)),
-                0 > o ||
-                  ((m = (-j + p) / (2 * i)),
-                  m > 0 && 1 > m && q.push(m),
-                  (n = (-j - p) / (2 * i)),
-                  n > 0 && 1 > n && q.push(n));
-          for (var t, u = q.length, v = u; u--; )
-            (l = q[u]),
-              (t = 1 - l),
-              (r[0][u] = t * t * t * a + 3 * t * t * l * c + 3 * t * l * l * e + l * l * l * g),
-              (r[1][u] = t * t * t * b + 3 * t * t * l * d + 3 * t * l * l * f + l * l * l * h);
-          return (
-            (r[0][v] = a),
-            (r[1][v] = b),
-            (r[0][v + 1] = g),
-            (r[1][v + 1] = h),
-            (r[0].length = r[1].length = v + 2),
-            {
-              min: { x: R.apply(0, r[0]), y: R.apply(0, r[1]) },
-              max: { x: S.apply(0, r[0]), y: S.apply(0, r[1]) },
-            }
-          );
-        }
-        function G(a, b) {
-          var c = !b && e(a);
-          if (!b && c.curve) return h(c.curve);
-          for (
-            var d = B(a),
-              f = b && B(b),
-              g = { x: 0, y: 0, bx: 0, by: 0, X: 0, Y: 0, qx: null, qy: null },
-              i = { x: 0, y: 0, bx: 0, by: 0, X: 0, Y: 0, qx: null, qy: null },
-              j = function (a, b, c) {
-                var d, e;
-                if (!a) return ["C", b.x, b.y, b.x, b.y, b.x, b.y];
-                switch ((!(a[0] in { T: 1, Q: 1 }) && (b.qx = b.qy = null), a[0])) {
-                  case "M":
-                    (b.X = a[1]), (b.Y = a[2]);
-                    break;
-                  case "A":
-                    a = ["C"].concat(E.apply(0, [b.x, b.y].concat(a.slice(1))));
-                    break;
-                  case "S":
-                    "C" == c || "S" == c
-                      ? ((d = 2 * b.x - b.bx), (e = 2 * b.y - b.by))
-                      : ((d = b.x), (e = b.y)),
-                      (a = ["C", d, e].concat(a.slice(1)));
-                    break;
-                  case "T":
-                    "Q" == c || "T" == c
-                      ? ((b.qx = 2 * b.x - b.qx), (b.qy = 2 * b.y - b.qy))
-                      : ((b.qx = b.x), (b.qy = b.y)),
-                      (a = ["C"].concat(D(b.x, b.y, b.qx, b.qy, a[1], a[2])));
-                    break;
-                  case "Q":
-                    (b.qx = a[1]),
-                      (b.qy = a[2]),
-                      (a = ["C"].concat(D(b.x, b.y, a[1], a[2], a[3], a[4])));
-                    break;
-                  case "L":
-                    a = ["C"].concat(C(b.x, b.y, a[1], a[2]));
-                    break;
-                  case "H":
-                    a = ["C"].concat(C(b.x, b.y, a[1], b.y));
-                    break;
-                  case "V":
-                    a = ["C"].concat(C(b.x, b.y, b.x, a[1]));
-                    break;
-                  case "Z":
-                    a = ["C"].concat(C(b.x, b.y, b.X, b.Y));
-                }
-                return a;
-              },
-              k = function (a, b) {
-                if (a[b].length > 7) {
-                  a[b].shift();
-                  for (var c = a[b]; c.length; )
-                    (m[b] = "A"), f && (n[b] = "A"), a.splice(b++, 0, ["C"].concat(c.splice(0, 6)));
-                  a.splice(b, 1), (r = S(d.length, (f && f.length) || 0));
-                }
-              },
-              l = function (a, b, c, e, g) {
-                a &&
-                  b &&
-                  "M" == a[g][0] &&
-                  "M" != b[g][0] &&
-                  (b.splice(g, 0, ["M", e.x, e.y]),
-                  (c.bx = 0),
-                  (c.by = 0),
-                  (c.x = a[g][1]),
-                  (c.y = a[g][2]),
-                  (r = S(d.length, (f && f.length) || 0)));
-              },
-              m = [],
-              n = [],
-              o = "",
-              p = "",
-              q = 0,
-              r = S(d.length, (f && f.length) || 0);
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-            q++
-          ) {
-            d[q] && (o = d[q][0]),
-              "C" != o && ((m[q] = o), q && (p = m[q - 1])),
-              (d[q] = j(d[q], g, p)),
-              "A" != m[q] && "C" == o && (m[q] = "C"),
-              k(d, q),
-              f &&
-                (f[q] && (o = f[q][0]),
-                "C" != o && ((n[q] = o), q && (p = n[q - 1])),
-                (f[q] = j(f[q], i, p)),
-                "A" != n[q] && "C" == o && (n[q] = "C"),
-                k(f, q)),
-              l(d, f, g, i, q),
-              l(f, d, i, g, q);
-            var s = d[q],
-              t = f && f[q],
-              u = s.length,
-              v = f && t.length;
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-              (g.y = s[u - 1]),
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-          i = a._.$;
-        (a.filter = {}),
-          (f.filter = function (b) {
-            var d = this;
-            "svg" != d.type && (d = d.paper);
-            var e = a.parse(h(b)),
-              f = a._.id(),
-              g = (d.node.offsetWidth, d.node.offsetHeight, i("filter"));
-            return (
-              i(g, { id: f, filterUnits: "userSpaceOnUse" }),
-              g.appendChild(e.node),
-              d.defs.appendChild(g),
-              new c(g)
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-            b.stop();
-            var c = i(this.node, "filter");
-            if (c) {
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-              break;
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-            (b[50] = a[0]),
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-          (b.flat.midnightblue = "#2c3e50"),
-          (b.flat.concrete = "#95a5a6"),
-          (b.flat.asbestos = "#7f8c8d"),
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-    );
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diff --git a/7.2/demos/js/webgazer/ridgeWorker.mjs b/7.2/demos/js/webgazer/ridgeWorker.mjs
deleted file mode 100755
index a9da0d06..00000000
--- a/7.2/demos/js/webgazer/ridgeWorker.mjs
+++ /dev/null
@@ -1,136 +0,0 @@
-"use strict";
-
-console.log("thread starting");
-
-// Add src/util.mjs and src/mat.mjs to the same directory as your html file
-importScripts("./worker_scripts/util.js", "./worker_scripts/mat.js"); // [20200708] Figure out how to make all of this wrap up neatly
-var ridgeParameter = Math.pow(10, -5);
-var resizeWidth = 10;
-var resizeHeight = 6;
-var dataWindow = 700;
-var trailDataWindow = 10;
-var trainInterval = 500;
-
-var screenXClicksArray = new self.webgazer.util.DataWindow(dataWindow);
-var screenYClicksArray = new self.webgazer.util.DataWindow(dataWindow);
-var eyeFeaturesClicks = new self.webgazer.util.DataWindow(dataWindow);
-var dataClicks = new self.webgazer.util.DataWindow(dataWindow);
-
-var screenXTrailArray = new self.webgazer.util.DataWindow(trailDataWindow);
-var screenYTrailArray = new self.webgazer.util.DataWindow(trailDataWindow);
-var eyeFeaturesTrail = new self.webgazer.util.DataWindow(trailDataWindow);
-var dataTrail = new self.webgazer.util.DataWindow(trailDataWindow);
-
-/**
- * Performs ridge regression, according to the Weka code.
- * @param {Array} y - corresponds to screen coordinates (either x or y) for each of n click events
- * @param {Array.>} X - corresponds to gray pixel features (120 pixels for both eyes) for each of n clicks
- * @param {Array} k - ridge parameter
- * @return{Array} regression coefficients
- */
-function ridge(y, X, k) {
-  var nc = X[0].length;
-  var m_Coefficients = new Array(nc);
-  var xt = self.webgazer.mat.transpose(X);
-  var solution = new Array();
-  var success = true;
-  do {
-    var ss = self.webgazer.mat.mult(xt, X);
-    // Set ridge regression adjustment
-    for (var i = 0; i < nc; i++) {
-      ss[i][i] = ss[i][i] + k;
-    }
-
-    // Carry out the regression
-    var bb = self.webgazer.mat.mult(xt, y);
-    for (var i = 0; i < nc; i++) {
-      m_Coefficients[i] = bb[i][0];
-    }
-    try {
-      var n = m_Coefficients.length !== 0 ? m_Coefficients.length / m_Coefficients.length : 0;
-      if (m_Coefficients.length * n !== m_Coefficients.length) {
-        console.log("Array length must be a multiple of m");
-      }
-      solution =
-        ss.length === ss[0].length
-          ? self.webgazer.mat.LUDecomposition(ss, bb)
-          : self.webgazer.mat.QRDecomposition(ss, bb);
-
-      for (var i = 0; i < nc; i++) {
-        m_Coefficients[i] = solution[i][0];
-      }
-      success = true;
-    } catch (ex) {
-      k *= 10;
-      console.log(ex);
-      success = false;
-    }
-  } while (!success);
-  return m_Coefficients;
-}
-
-//TODO: still usefull ???
-/**
- *
- * @returns {Number}
- */
-function getCurrentFixationIndex() {
-  var index = 0;
-  var recentX = this.screenXTrailArray.get(0);
-  var recentY = this.screenYTrailArray.get(0);
-  for (var i = this.screenXTrailArray.length - 1; i >= 0; i--) {
-    var currX = this.screenXTrailArray.get(i);
-    var currY = this.screenYTrailArray.get(i);
-    var euclideanDistance = Math.sqrt(Math.pow(currX - recentX, 2) + Math.pow(currY - recentY, 2));
-    if (euclideanDistance > 72) {
-      return i + 1;
-    }
-  }
-  return i;
-}
-
-/**
- * Event handler, it store screen position to allow training
- * @param {Event} event - the receive event
- */
-self.onmessage = function (event) {
-  var data = event.data;
-  var screenPos = data["screenPos"];
-  var eyes = data["eyes"];
-  var type = data["type"];
-  if (type === "click") {
-    self.screenXClicksArray.push([screenPos[0]]);
-    self.screenYClicksArray.push([screenPos[1]]);
-
-    self.eyeFeaturesClicks.push(eyes);
-  } else if (type === "move") {
-    self.screenXTrailArray.push([screenPos[0]]);
-    self.screenYTrailArray.push([screenPos[1]]);
-
-    self.eyeFeaturesTrail.push(eyes);
-    self.dataTrail.push({ eyes: eyes, screenPos: screenPos, type: type });
-  }
-  self.needsTraining = true;
-};
-
-/**
- * Compute coefficient from training data
- */
-function retrain() {
-  if (self.screenXClicksArray.length === 0) {
-    return;
-  }
-  if (!self.needsTraining) {
-    return;
-  }
-  var screenXArray = self.screenXClicksArray.data.concat(self.screenXTrailArray.data);
-  var screenYArray = self.screenYClicksArray.data.concat(self.screenYTrailArray.data);
-  var eyeFeatures = self.eyeFeaturesClicks.data.concat(self.eyeFeaturesTrail.data);
-
-  var coefficientsX = ridge(screenXArray, eyeFeatures, ridgeParameter);
-  var coefficientsY = ridge(screenYArray, eyeFeatures, ridgeParameter);
-  self.postMessage({ X: coefficientsX, Y: coefficientsY });
-  self.needsTraining = false;
-}
-
-setInterval(retrain, trainInterval);
diff --git a/7.2/demos/js/webgazer/webgazer.js b/7.2/demos/js/webgazer/webgazer.js
deleted file mode 100755
index f421f2c8..00000000
--- a/7.2/demos/js/webgazer/webgazer.js
+++ /dev/null
@@ -1,99912 +0,0 @@
-/*!
- *
- *  WebGazer.js: Scalable Webcam EyeTracking Using User Interactions
- *  Copyright (c) 2016-2020, Brown HCI Group
- *  Licensed under GPLv3. Companies with a valuation of less than $1M can use WebGazer.js under LGPLv3.
- *
- */
-var webgazer = /******/ (function (modules) {
-  // webpackBootstrap
-  /******/ // The module cache
-  /******/ var installedModules = {};
-  /******/
-  /******/ // The require function
-  /******/ function __webpack_require__(moduleId) {
-    /******/
-    /******/ // Check if module is in cache
-    /******/ if (installedModules[moduleId]) {
-      /******/ return installedModules[moduleId].exports;
-      /******/
-    }
-    /******/ // Create a new module (and put it into the cache)
-    /******/ var module = (installedModules[moduleId] = {
-      /******/ i: moduleId,
-      /******/ l: false,
-      /******/ exports: {},
-      /******/
-    });
-    /******/
-    /******/ // Execute the module function
-    /******/ modules[moduleId].call(module.exports, module, module.exports, __webpack_require__);
-    /******/
-    /******/ // Flag the module as loaded
-    /******/ module.l = true;
-    /******/
-    /******/ // Return the exports of the module
-    /******/ return module.exports;
-    /******/
-  }
-  /******/
-  /******/
-  /******/ // expose the modules object (__webpack_modules__)
-  /******/ __webpack_require__.m = modules;
-  /******/
-  /******/ // expose the module cache
-  /******/ __webpack_require__.c = installedModules;
-  /******/
-  /******/ // define getter function for harmony exports
-  /******/ __webpack_require__.d = function (exports, name, getter) {
-    /******/ if (!__webpack_require__.o(exports, name)) {
-      /******/ Object.defineProperty(exports, name, { enumerable: true, get: getter });
-      /******/
-    }
-    /******/
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-      });
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-      });
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-        return /* reexport */ tensor_ops["c" /* onesLike */];
-      });
-      __webpack_require__.d(__webpack_exports__, "zerosLike", function () {
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-      });
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-      });
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-      });
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-        return /* reexport */ logSoftmax;
-      });
-      __webpack_require__.d(__webpack_exports__, "norm", function () {
-        return /* reexport */ norm_norm;
-      });
-      __webpack_require__.d(__webpack_exports__, "gather", function () {
-        return /* reexport */ gather;
-      });
-      __webpack_require__.d(__webpack_exports__, "unsortedSegmentSum", function () {
-        return /* reexport */ unsortedSegmentSum;
-      });
-      __webpack_require__.d(__webpack_exports__, "basicLSTMCell", function () {
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-      });
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-      });
-      __webpack_require__.d(__webpack_exports__, "movingAverage", function () {
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-      });
-      __webpack_require__.d(__webpack_exports__, "stridedSlice", function () {
-        return /* reexport */ stridedSlice;
-      });
-      __webpack_require__.d(__webpack_exports__, "topk", function () {
-        return /* reexport */ topk;
-      });
-      __webpack_require__.d(__webpack_exports__, "scatterND", function () {
-        return /* reexport */ scatterND;
-      });
-      __webpack_require__.d(__webpack_exports__, "fft", function () {
-        return /* reexport */ fft;
-      });
-      __webpack_require__.d(__webpack_exports__, "ifft", function () {
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-      });
-      __webpack_require__.d(__webpack_exports__, "irfft", function () {
-        return /* reexport */ irfft;
-      });
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-        return /* reexport */ sparseToDense;
-      });
-      __webpack_require__.d(__webpack_exports__, "gatherND", function () {
-        return /* reexport */ gatherND;
-      });
-      __webpack_require__.d(__webpack_exports__, "dropout", function () {
-        return /* reexport */ dropout;
-      });
-      __webpack_require__.d(__webpack_exports__, "hannWindow", function () {
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-      });
-      __webpack_require__.d(__webpack_exports__, "hammingWindow", function () {
-        return /* reexport */ hammingWindow;
-      });
-      __webpack_require__.d(__webpack_exports__, "frame", function () {
-        return /* reexport */ signal_ops_frame;
-      });
-      __webpack_require__.d(__webpack_exports__, "stft", function () {
-        return /* reexport */ stft;
-      });
-      __webpack_require__.d(__webpack_exports__, "inTopKAsync", function () {
-        return /* reexport */ inTopKAsync;
-      });
-      __webpack_require__.d(__webpack_exports__, "op", function () {
-        return /* reexport */ operation["a" /* op */];
-      });
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-        return /* reexport */ image_ops_namespaceObject;
-      });
-      __webpack_require__.d(__webpack_exports__, "linalg", function () {
-        return /* reexport */ linalg_ops_namespaceObject;
-      });
-      __webpack_require__.d(__webpack_exports__, "losses", function () {
-        return /* reexport */ loss_ops_namespaceObject;
-      });
-      __webpack_require__.d(__webpack_exports__, "spectral", function () {
-        return /* reexport */ spectral_ops_namespaceObject;
-      });
-      __webpack_require__.d(__webpack_exports__, "fused", function () {
-        return /* reexport */ fused_ops_namespaceObject;
-      });
-      __webpack_require__.d(__webpack_exports__, "signal", function () {
-        return /* reexport */ signal_ops_namespaceObject;
-      });
-      __webpack_require__.d(__webpack_exports__, "Reduction", function () {
-        return /* reexport */ Reduction;
-      });
-      __webpack_require__.d(__webpack_exports__, "train", function () {
-        return /* reexport */ train;
-      });
-      __webpack_require__.d(__webpack_exports__, "enableProdMode", function () {
-        return /* reexport */ enableProdMode;
-      });
-      __webpack_require__.d(__webpack_exports__, "enableDebugMode", function () {
-        return /* reexport */ enableDebugMode;
-      });
-      __webpack_require__.d(__webpack_exports__, "disableDeprecationWarnings", function () {
-        return /* reexport */ disableDeprecationWarnings;
-      });
-      __webpack_require__.d(__webpack_exports__, "deprecationWarn", function () {
-        return /* reexport */ deprecationWarn;
-      });
-      __webpack_require__.d(__webpack_exports__, "disposeVariables", function () {
-        return /* reexport */ disposeVariables;
-      });
-      __webpack_require__.d(__webpack_exports__, "engine", function () {
-        return /* reexport */ globals_engine;
-      });
-      __webpack_require__.d(__webpack_exports__, "memory", function () {
-        return /* reexport */ memory;
-      });
-      __webpack_require__.d(__webpack_exports__, "profile", function () {
-        return /* reexport */ profile;
-      });
-      __webpack_require__.d(__webpack_exports__, "tidy", function () {
-        return /* reexport */ tidy;
-      });
-      __webpack_require__.d(__webpack_exports__, "dispose", function () {
-        return /* reexport */ dispose;
-      });
-      __webpack_require__.d(__webpack_exports__, "keep", function () {
-        return /* reexport */ keep;
-      });
-      __webpack_require__.d(__webpack_exports__, "time", function () {
-        return /* reexport */ time;
-      });
-      __webpack_require__.d(__webpack_exports__, "setBackend", function () {
-        return /* reexport */ setBackend;
-      });
-      __webpack_require__.d(__webpack_exports__, "ready", function () {
-        return /* reexport */ ready;
-      });
-      __webpack_require__.d(__webpack_exports__, "getBackend", function () {
-        return /* reexport */ getBackend;
-      });
-      __webpack_require__.d(__webpack_exports__, "removeBackend", function () {
-        return /* reexport */ removeBackend;
-      });
-      __webpack_require__.d(__webpack_exports__, "findBackend", function () {
-        return /* reexport */ findBackend;
-      });
-      __webpack_require__.d(__webpack_exports__, "findBackendFactory", function () {
-        return /* reexport */ findBackendFactory;
-      });
-      __webpack_require__.d(__webpack_exports__, "registerBackend", function () {
-        return /* reexport */ registerBackend;
-      });
-      __webpack_require__.d(__webpack_exports__, "backend", function () {
-        return /* reexport */ globals_backend;
-      });
-      __webpack_require__.d(__webpack_exports__, "setPlatform", function () {
-        return /* reexport */ setPlatform;
-      });
-      __webpack_require__.d(__webpack_exports__, "getKernel", function () {
-        return /* reexport */ kernel_registry["b" /* getKernel */];
-      });
-      __webpack_require__.d(__webpack_exports__, "getGradient", function () {
-        return /* reexport */ kernel_registry["a" /* getGradient */];
-      });
-      __webpack_require__.d(__webpack_exports__, "getKernelsForBackend", function () {
-        return /* reexport */ kernel_registry["c" /* getKernelsForBackend */];
-      });
-      __webpack_require__.d(__webpack_exports__, "registerKernel", function () {
-        return /* reexport */ kernel_registry["e" /* registerKernel */];
-      });
-      __webpack_require__.d(__webpack_exports__, "registerGradient", function () {
-        return /* reexport */ kernel_registry["d" /* registerGradient */];
-      });
-      __webpack_require__.d(__webpack_exports__, "unregisterKernel", function () {
-        return /* reexport */ kernel_registry["g" /* unregisterKernel */];
-      });
-      __webpack_require__.d(__webpack_exports__, "unregisterGradient", function () {
-        return /* reexport */ kernel_registry["f" /* unregisterGradient */];
-      });
-      __webpack_require__.d(__webpack_exports__, "customGrad", function () {
-        return /* reexport */ customGrad;
-      });
-      __webpack_require__.d(__webpack_exports__, "grad", function () {
-        return /* reexport */ gradients_grad;
-      });
-      __webpack_require__.d(__webpack_exports__, "grads", function () {
-        return /* reexport */ gradients_grads;
-      });
-      __webpack_require__.d(__webpack_exports__, "valueAndGrad", function () {
-        return /* reexport */ valueAndGrad;
-      });
-      __webpack_require__.d(__webpack_exports__, "valueAndGrads", function () {
-        return /* reexport */ valueAndGrads;
-      });
-      __webpack_require__.d(__webpack_exports__, "variableGrads", function () {
-        return /* reexport */ variableGrads;
-      });
-      __webpack_require__.d(__webpack_exports__, "Environment", function () {
-        return /* reexport */ environment["b" /* Environment */];
-      });
-      __webpack_require__.d(__webpack_exports__, "env", function () {
-        return /* reexport */ environment["c" /* env */];
-      });
-      __webpack_require__.d(__webpack_exports__, "ENV", function () {
-        return /* reexport */ environment["a" /* ENV */];
-      });
-      __webpack_require__.d(__webpack_exports__, "version_core", function () {
-        return /* reexport */ version;
-      });
-      __webpack_require__.d(__webpack_exports__, "nextFrame", function () {
-        return /* reexport */ browser_util["a" /* nextFrame */];
-      });
-      __webpack_require__.d(__webpack_exports__, "browser", function () {
-        return /* reexport */ browser_namespaceObject;
-      });
-      __webpack_require__.d(__webpack_exports__, "io", function () {
-        return /* reexport */ io_namespaceObject;
-      });
-      __webpack_require__.d(__webpack_exports__, "math", function () {
-        return /* reexport */ math_namespaceObject;
-      });
-      __webpack_require__.d(__webpack_exports__, "serialization", function () {
-        return /* reexport */ serialization_namespaceObject;
-      });
-      __webpack_require__.d(__webpack_exports__, "test_util", function () {
-        return /* reexport */ test_util_namespaceObject;
-      });
-      __webpack_require__.d(__webpack_exports__, "util", function () {
-        return /* reexport */ util;
-      });
-      __webpack_require__.d(__webpack_exports__, "backend_util", function () {
-        return /* reexport */ backend_util_namespaceObject;
-      });
-      __webpack_require__.d(__webpack_exports__, "tensor_util", function () {
-        return /* reexport */ tensor_util;
-      });
-      __webpack_require__.d(__webpack_exports__, "slice_util", function () {
-        return /* reexport */ slice_util_namespaceObject;
-      });
-      __webpack_require__.d(__webpack_exports__, "gather_util", function () {
-        return /* reexport */ gather_nd_util_namespaceObject;
-      });
-      __webpack_require__.d(__webpack_exports__, "scatter_util", function () {
-        return /* reexport */ scatter_nd_util_namespaceObject;
-      });
-      __webpack_require__.d(__webpack_exports__, "device_util", function () {
-        return /* reexport */ device_util;
-      });
-      __webpack_require__.d(__webpack_exports__, "kernel_impls", function () {
-        return /* reexport */ kernel_impls_namespaceObject;
-      });
-      __webpack_require__.d(__webpack_exports__, "KernelBackend", function () {
-        return /* reexport */ KernelBackend;
-      });
-      __webpack_require__.d(__webpack_exports__, "DataStorage", function () {
-        return /* reexport */ DataStorage;
-      });
-      __webpack_require__.d(__webpack_exports__, "Add", function () {
-        return /* reexport */ kernel_names["a" /* Add */];
-      });
-      __webpack_require__.d(__webpack_exports__, "AddN", function () {
-        return /* reexport */ kernel_names["b" /* AddN */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Atan2", function () {
-        return /* reexport */ kernel_names["c" /* Atan2 */];
-      });
-      __webpack_require__.d(__webpack_exports__, "AvgPool", function () {
-        return /* reexport */ kernel_names["d" /* AvgPool */];
-      });
-      __webpack_require__.d(__webpack_exports__, "AvgPoolBackprop", function () {
-        return /* reexport */ kernel_names["g" /* AvgPoolBackprop */];
-      });
-      __webpack_require__.d(__webpack_exports__, "AvgPool3D", function () {
-        return /* reexport */ kernel_names["e" /* AvgPool3D */];
-      });
-      __webpack_require__.d(__webpack_exports__, "AvgPool3DBackprop", function () {
-        return /* reexport */ kernel_names["f" /* AvgPool3DBackprop */];
-      });
-      __webpack_require__.d(__webpack_exports__, "BatchMatMul", function () {
-        return /* reexport */ kernel_names["h" /* BatchMatMul */];
-      });
-      __webpack_require__.d(__webpack_exports__, "BatchToSpaceND", function () {
-        return /* reexport */ kernel_names["i" /* BatchToSpaceND */];
-      });
-      __webpack_require__.d(__webpack_exports__, "BroadcastTo", function () {
-        return /* reexport */ kernel_names["j" /* BroadcastTo */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Complex", function () {
-        return /* reexport */ kernel_names["k" /* Complex */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Concat", function () {
-        return /* reexport */ kernel_names["l" /* Concat */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Conv2D", function () {
-        return /* reexport */ kernel_names["m" /* Conv2D */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Conv2DBackpropFilter", function () {
-        return /* reexport */ kernel_names["n" /* Conv2DBackpropFilter */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Conv2DBackpropInput", function () {
-        return /* reexport */ kernel_names["o" /* Conv2DBackpropInput */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Conv3D", function () {
-        return /* reexport */ kernel_names["p" /* Conv3D */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Conv3DBackpropFilterV2", function () {
-        return /* reexport */ kernel_names["q" /* Conv3DBackpropFilterV2 */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Conv3DBackpropInputV2", function () {
-        return /* reexport */ kernel_names["r" /* Conv3DBackpropInputV2 */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Cumsum", function () {
-        return /* reexport */ kernel_names["s" /* Cumsum */];
-      });
-      __webpack_require__.d(__webpack_exports__, "DepthToSpace", function () {
-        return /* reexport */ kernel_names["t" /* DepthToSpace */];
-      });
-      __webpack_require__.d(__webpack_exports__, "DepthwiseConv2dNative", function () {
-        return /* reexport */ kernel_names["u" /* DepthwiseConv2dNative */];
-      });
-      __webpack_require__.d(
-        __webpack_exports__,
-        "DepthwiseConv2dNativeBackpropFilter",
-        function () {
-          return /* reexport */ kernel_names["v" /* DepthwiseConv2dNativeBackpropFilter */];
-        }
-      );
-      __webpack_require__.d(__webpack_exports__, "DepthwiseConv2dNativeBackpropInput", function () {
-        return /* reexport */ kernel_names["w" /* DepthwiseConv2dNativeBackpropInput */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Diag", function () {
-        return /* reexport */ kernel_names["x" /* Diag */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Div", function () {
-        return /* reexport */ kernel_names["y" /* Div */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Elu", function () {
-        return /* reexport */ kernel_names["z" /* Elu */];
-      });
-      __webpack_require__.d(__webpack_exports__, "EluGrad", function () {
-        return /* reexport */ kernel_names["A" /* EluGrad */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Equal", function () {
-        return /* reexport */ kernel_names["B" /* Equal */];
-      });
-      __webpack_require__.d(__webpack_exports__, "FloorDiv", function () {
-        return /* reexport */ kernel_names["D" /* FloorDiv */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Fill", function () {
-        return /* reexport */ kernel_names["C" /* Fill */];
-      });
-      __webpack_require__.d(__webpack_exports__, "FusedBatchNorm", function () {
-        return /* reexport */ kernel_names["F" /* FusedBatchNorm */];
-      });
-      __webpack_require__.d(__webpack_exports__, "GatherNd", function () {
-        return /* reexport */ kernel_names["G" /* GatherNd */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Greater", function () {
-        return /* reexport */ kernel_names["H" /* Greater */];
-      });
-      __webpack_require__.d(__webpack_exports__, "GreaterEqual", function () {
-        return /* reexport */ kernel_names["I" /* GreaterEqual */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Identity", function () {
-        return /* reexport */ kernel_names["J" /* Identity */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Imag", function () {
-        return /* reexport */ kernel_names["K" /* Imag */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Less", function () {
-        return /* reexport */ kernel_names["N" /* Less */];
-      });
-      __webpack_require__.d(__webpack_exports__, "LessEqual", function () {
-        return /* reexport */ kernel_names["O" /* LessEqual */];
-      });
-      __webpack_require__.d(__webpack_exports__, "LRN", function () {
-        return /* reexport */ kernel_names["L" /* LRN */];
-      });
-      __webpack_require__.d(__webpack_exports__, "LRNBackprop", function () {
-        return /* reexport */ kernel_names["M" /* LRNBackprop */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Max", function () {
-        return /* reexport */ kernel_names["P" /* Max */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Maximum", function () {
-        return /* reexport */ kernel_names["V" /* Maximum */];
-      });
-      __webpack_require__.d(__webpack_exports__, "MaxPool", function () {
-        return /* reexport */ kernel_names["Q" /* MaxPool */];
-      });
-      __webpack_require__.d(__webpack_exports__, "MaxPoolBackprop", function () {
-        return /* reexport */ kernel_names["T" /* MaxPoolBackprop */];
-      });
-      __webpack_require__.d(__webpack_exports__, "MaxPool3D", function () {
-        return /* reexport */ kernel_names["R" /* MaxPool3D */];
-      });
-      __webpack_require__.d(__webpack_exports__, "MaxPool3DBackprop", function () {
-        return /* reexport */ kernel_names["S" /* MaxPool3DBackprop */];
-      });
-      __webpack_require__.d(__webpack_exports__, "MaxPoolWithArgmax", function () {
-        return /* reexport */ kernel_names["U" /* MaxPoolWithArgmax */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Minimum", function () {
-        return /* reexport */ kernel_names["W" /* Minimum */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Mod", function () {
-        return /* reexport */ kernel_names["X" /* Mod */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Multiply", function () {
-        return /* reexport */ kernel_names["Y" /* Multiply */];
-      });
-      __webpack_require__.d(__webpack_exports__, "NotEqual", function () {
-        return /* reexport */ kernel_names["bb" /* NotEqual */];
-      });
-      __webpack_require__.d(__webpack_exports__, "NonMaxSuppressionV3", function () {
-        return /* reexport */ kernel_names["Z" /* NonMaxSuppressionV3 */];
-      });
-      __webpack_require__.d(__webpack_exports__, "NonMaxSuppressionV5", function () {
-        return /* reexport */ kernel_names["ab" /* NonMaxSuppressionV5 */];
-      });
-      __webpack_require__.d(__webpack_exports__, "OneHot", function () {
-        return /* reexport */ kernel_names["cb" /* OneHot */];
-      });
-      __webpack_require__.d(__webpack_exports__, "PadV2", function () {
-        return /* reexport */ kernel_names["db" /* PadV2 */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Pool", function () {
-        return /* reexport */ kernel_names["eb" /* Pool */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Pow", function () {
-        return /* reexport */ kernel_names["fb" /* Pow */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Prelu", function () {
-        return /* reexport */ kernel_names["gb" /* Prelu */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Real", function () {
-        return /* reexport */ kernel_names["hb" /* Real */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Relu", function () {
-        return /* reexport */ kernel_names["ib" /* Relu */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Relu6", function () {
-        return /* reexport */ kernel_names["jb" /* Relu6 */];
-      });
-      __webpack_require__.d(__webpack_exports__, "SelectV2", function () {
-        return /* reexport */ kernel_names["kb" /* SelectV2 */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Selu", function () {
-        return /* reexport */ kernel_names["lb" /* Selu */];
-      });
-      __webpack_require__.d(__webpack_exports__, "SpaceToBatchND", function () {
-        return /* reexport */ kernel_names["mb" /* SpaceToBatchND */];
-      });
-      __webpack_require__.d(__webpack_exports__, "SplitV", function () {
-        return /* reexport */ kernel_names["nb" /* SplitV */];
-      });
-      __webpack_require__.d(__webpack_exports__, "SquaredDifference", function () {
-        return /* reexport */ kernel_names["pb" /* SquaredDifference */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Square", function () {
-        return /* reexport */ kernel_names["ob" /* Square */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Sub", function () {
-        return /* reexport */ kernel_names["qb" /* Sub */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Tile", function () {
-        return /* reexport */ kernel_names["rb" /* Tile */];
-      });
-      __webpack_require__.d(__webpack_exports__, "Transpose", function () {
-        return /* reexport */ kernel_names["sb" /* Transpose */];
-      });
-      __webpack_require__.d(__webpack_exports__, "FromPixels", function () {
-        return /* reexport */ kernel_names["E" /* FromPixels */];
-      });
-
-      // NAMESPACE OBJECT: ./node_modules/@tensorflow/tfjs-core/dist/ops/slice_util.js
-      var slice_util_namespaceObject = {};
-      __webpack_require__.r(slice_util_namespaceObject);
-      __webpack_require__.d(slice_util_namespaceObject, "assertParamsValid", function () {
-        return assertParamsValid;
-      });
-      __webpack_require__.d(slice_util_namespaceObject, "maskToAxes", function () {
-        return maskToAxes;
-      });
-      __webpack_require__.d(slice_util_namespaceObject, "computeOutShape", function () {
-        return slice_util_computeOutShape;
-      });
-      __webpack_require__.d(slice_util_namespaceObject, "stridesWithElidedDims", function () {
-        return stridesWithElidedDims;
-      });
-      __webpack_require__.d(slice_util_namespaceObject, "startIndicesWithElidedDims", function () {
-        return startIndicesWithElidedDims;
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-      __webpack_require__.d(slice_util_namespaceObject, "stopIndicesWithElidedDims", function () {
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-      __webpack_require__.d(image_ops_namespaceObject, "nonMaxSuppression", function () {
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-      __webpack_require__.d(image_ops_namespaceObject, "resizeBilinear", function () {
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-
-      // NAMESPACE OBJECT: ./node_modules/@tensorflow/tfjs-core/dist/backends/kernel_impls.js
-      var kernel_impls_namespaceObject = {};
-      __webpack_require__.r(kernel_impls_namespaceObject);
-      __webpack_require__.d(kernel_impls_namespaceObject, "nonMaxSuppressionV3", function () {
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-
-      // EXTERNAL MODULE: ./node_modules/@tensorflow/tfjs-core/dist/engine.js + 2 modules
-      var engine = __webpack_require__(5);
-
-      // EXTERNAL MODULE: ./node_modules/@tensorflow/tfjs-core/dist/flags.js
-      var flags = __webpack_require__(61);
-
-      // EXTERNAL MODULE: ./node_modules/@tensorflow/tfjs-core/dist/kernel_names.js
-      var kernel_names = __webpack_require__(6);
-
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/broadcast_util.js
-      /**
-       * @license
-       * Copyright 2017 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-      /**
-       * Returns the dimensions in the input shape that are broadcasted to
-       * produce the provided output shape.
-       *
-       * The returned dimensions are 0-indexed and sorted. An example:
-       * inShape = [4, 1, 3]
-       * outShape = [5, 4, 3, 3]
-       * result = [1]. Dimension 1 (2nd dimension of input) gets broadcasted 1 => 3.
-       */
-      function getBroadcastDims(inShape, outShape) {
-        const inRank = inShape.length;
-        const dims = [];
-        for (let i = 0; i < inRank; i++) {
-          const dim = inRank - 1 - i;
-          const a = inShape[dim] || 1;
-          const b = outShape[outShape.length - 1 - i] || 1;
-          if (b > 1 && a === 1) {
-            dims.unshift(dim);
-          }
-        }
-        return dims;
-      }
-      /**
-       * Returns the axes in the output space that should be reduced to produce
-       * the input space.
-       */
-      function getReductionAxes(inShape, outShape) {
-        const result = [];
-        for (let i = 0; i < outShape.length; i++) {
-          const inDim = inShape[inShape.length - i - 1];
-          const outAxis = outShape.length - i - 1;
-          const outDim = outShape[outAxis];
-          if (inDim == null || (inDim === 1 && outDim > 1)) {
-            result.unshift(outAxis);
-          }
-        }
-        return result;
-      }
-      function assertAndGetBroadcastShape(shapeA, shapeB) {
-        const result = [];
-        const l = Math.max(shapeA.length, shapeB.length);
-        for (let i = 0; i < l; i++) {
-          let a = shapeA[shapeA.length - i - 1];
-          if (a == null) {
-            a = 1;
-          }
-          let b = shapeB[shapeB.length - i - 1];
-          if (b == null) {
-            b = 1;
-          }
-          if (a === 1) {
-            result.unshift(b);
-          } else if (b === 1) {
-            result.unshift(a);
-          } else if (a !== b) {
-            const errMsg =
-              `Operands could not be broadcast together with shapes ` + `${shapeA} and ${shapeB}.`;
-            throw Error(errMsg);
-          } else {
-            result.unshift(a);
-          }
-        }
-        return result;
-      }
-      //# sourceMappingURL=broadcast_util.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Add_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const addGradConfig = {
-        kernelName: kernel_names["a" /* Add */],
-        inputsToSave: ["a", "b"],
-        gradFunc: (dy, saved) => {
-          const [a, b] = saved;
-          const outShape = assertAndGetBroadcastShape(a.shape, b.shape);
-          const derA = () => {
-            let res = dy;
-            const reduceAxes = getReductionAxes(a.shape, outShape);
-            if (reduceAxes.length > 0) {
-              res = res.sum(reduceAxes);
-            }
-            return res.reshape(a.shape);
-          };
-          const derB = () => {
-            let res = dy;
-            const reduceAxes = getReductionAxes(b.shape, outShape);
-            if (reduceAxes.length > 0) {
-              res = res.sum(reduceAxes);
-            }
-            return res.reshape(b.shape);
-          };
-          return { a: derA, b: derB };
-        },
-      };
-      //# sourceMappingURL=Add_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/AddN_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const addNGradConfig = {
-        kernelName: kernel_names["b" /* AddN */],
-        saveAllInputs: true,
-        gradFunc: (dy, saved) => {
-          const ders = {};
-          saved.forEach((_, i) => {
-            ders[i] = () => dy.clone();
-          });
-          return ders;
-        },
-      };
-      //# sourceMappingURL=AddN_grad.js.map
-      // EXTERNAL MODULE: ./node_modules/@tensorflow/tfjs-core/dist/tensor_util.js
-      var tensor_util = __webpack_require__(11);
-
-      // EXTERNAL MODULE: ./node_modules/@tensorflow/tfjs-core/dist/tensor_util_env.js
-      var tensor_util_env = __webpack_require__(3);
-
-      // EXTERNAL MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/operation.js
-      var operation = __webpack_require__(4);
-
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/add.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Adds two `tf.Tensor`s element-wise, A + B. Supports broadcasting.
-       *
-       *
-       * ```js
-       * const a = tf.tensor1d([1, 2, 3, 4]);
-       * const b = tf.tensor1d([10, 20, 30, 40]);
-       *
-       * a.add(b).print();  // or tf.add(a, b)
-       * ```
-       *
-       * ```js
-       * // Broadcast add a with b.
-       * const a = tf.scalar(5);
-       * const b = tf.tensor1d([10, 20, 30, 40]);
-       *
-       * a.add(b).print();  // or tf.add(a, b)
-       * ```
-       * @param a The first `tf.Tensor` to add.
-       * @param b The second `tf.Tensor` to add. Must have the same type as `a`.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Arithmetic'} */
-      function add_(a, b) {
-        let $a = Object(tensor_util_env["a" /* convertToTensor */])(a, "a", "add");
-        let $b = Object(tensor_util_env["a" /* convertToTensor */])(b, "b", "add");
-        [$a, $b] = Object(tensor_util["makeTypesMatch"])($a, $b);
-        const forward = (backend, save) => {
-          const res = backend.add($a, $b);
-          save([$a, $b]);
-          return res;
-        };
-        const inputs = { a: $a, b: $b };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* gradient */,
-          kernel_names["a" /* Add */]
-        );
-      }
-      const add = Object(operation["a" /* op */])({ add_ });
-      //# sourceMappingURL=add.js.map
-      // EXTERNAL MODULE: ./node_modules/@tensorflow/tfjs-core/dist/tensor.js + 1 modules
-      var dist_tensor = __webpack_require__(7);
-
-      // EXTERNAL MODULE: ./node_modules/@tensorflow/tfjs-core/dist/util.js
-      var util = __webpack_require__(1);
-
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/concat_util.js
-      /**
-       * @license
-       * Copyright 2017 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      function assertParamsConsistent(shapes, axis) {
-        const rank = shapes[0].length;
-        shapes.forEach((shape, i) => {
-          util["assert"](
-            shape.length === rank,
-            () =>
-              `Error in concat${rank}D: rank of tensors[${i}] must be the same ` +
-              `as the rank of the rest (${rank})`
-          );
-        });
-        util["assert"](
-          axis >= 0 && axis < rank,
-          () => `Error in concat${rank}D: axis must be between 0 and ${rank - 1}.`
-        );
-        const firstShape = shapes[0];
-        shapes.forEach((shape, i) => {
-          for (let r = 0; r < rank; r++) {
-            util["assert"](
-              r === axis || shape[r] === firstShape[r],
-              () =>
-                `Error in concat${rank}D: Shape of tensors[${i}] (${shape}) ` +
-                `does not match the shape of the rest (${firstShape}) ` +
-                `along the non-concatenated axis ${i}.`
-            );
-          }
-        });
-      }
-      function computeOutShape(shapes, axis) {
-        const outputShape = shapes[0].slice();
-        for (let i = 1; i < shapes.length; i++) {
-          outputShape[axis] += shapes[i][axis];
-        }
-        return outputShape;
-      }
-      //# sourceMappingURL=concat_util.js.map
-      // EXTERNAL MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/tensor_ops.js
-      var tensor_ops = __webpack_require__(8);
-
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/concat.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Concatenates a list of `tf.Tensor`s along a given axis.
-       *
-       * The tensors ranks and types must match, and their sizes must match in all
-       * dimensions except `axis`.
-       *
-       * Also available are stricter rank-specific methods that assert that
-       * `tensors` are of the given rank:
-       *   - `tf.concat1d`
-       *   - `tf.concat2d`
-       *   - `tf.concat3d`
-       *   - `tf.concat4d`
-       *
-       * Except `tf.concat1d` (which does not have axis param), all methods have
-       * same signature as this method.
-       *
-       * ```js
-       * const a = tf.tensor1d([1, 2]);
-       * const b = tf.tensor1d([3, 4]);
-       * a.concat(b).print();  // or a.concat(b)
-       * ```
-       *
-       * ```js
-       * const a = tf.tensor1d([1, 2]);
-       * const b = tf.tensor1d([3, 4]);
-       * const c = tf.tensor1d([5, 6]);
-       * tf.concat([a, b, c]).print();
-       * ```
-       *
-       * ```js
-       * const a = tf.tensor2d([[1, 2], [10, 20]]);
-       * const b = tf.tensor2d([[3, 4], [30, 40]]);
-       * const axis = 1;
-       * tf.concat([a, b], axis).print();
-       * ```
-       * @param tensors A list of tensors to concatenate.
-       * @param axis The axis to concate along. Defaults to 0 (the first dim).
-       */
-      /** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */
-      function concat_(tensors, axis = 0) {
-        Object(util["assert"])(tensors.length >= 1, () => "Pass at least one tensor to concat");
-        let $tensors = Object(tensor_util_env["b" /* convertToTensorArray */])(
-          tensors,
-          "tensors",
-          "concat"
-        );
-        if ($tensors[0].dtype === "complex64") {
-          $tensors.forEach((tensor) => {
-            if (tensor.dtype !== "complex64") {
-              throw new Error(`Cannot concatenate complex64 tensors with a tensor
-          with dtype ${tensor.dtype}. `);
-            }
-          });
-        }
-        const $axis = Object(util["parseAxisParam"])(axis, $tensors[0].shape)[0];
-        const outShape = computeOutShape(
-          $tensors.map((t) => t.shape),
-          $axis
-        );
-        if (Object(util["sizeFromShape"])(outShape) === 0) {
-          return Object(tensor_ops["f" /* tensor */])([], outShape);
-        }
-        // Keep only non-empty tensors (ignore tensors with 0 in their shape).
-        $tensors = $tensors.filter((t) => t.size > 0);
-        if ($tensors.length === 1) {
-          return $tensors[0];
-        }
-        const shapes = $tensors.map((t) => t.shape);
-        assertParamsConsistent(shapes, $axis);
-        const forward = (backend, save) => {
-          const res = backend.concat($tensors, $axis);
-          save($tensors);
-          return res;
-        };
-        const inputs = $tensors;
-        const attr = { axis };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* grad */,
-          kernel_names["l" /* Concat */],
-          attr
-        );
-      }
-      const concat = Object(operation["a" /* op */])({ concat_ });
-      //# sourceMappingURL=concat.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/array_ops.js
-      /**
-       * @license
-       * Copyright 2018 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Reshapes a `tf.Tensor` to a given shape.
-       *
-       * Given an input tensor, returns a new tensor with the same values as the
-       * input tensor with shape `shape`.
-       *
-       * If one component of shape is the special value -1, the size of that
-       * dimension is computed so that the total size remains constant. In
-       * particular, a shape of [-1] flattens into 1-D. At most one component of
-       * shape can be -1.
-       *
-       * If shape is 1-D or higher, then the operation returns a tensor with shape
-       * shape filled with the values of tensor. In this case, the number of
-       * elements implied by shape must be the same as the number of elements in
-       * tensor.
-       *
-       * ```js
-       * const x = tf.tensor1d([1, 2, 3, 4]);
-       * x.reshape([2, 2]).print();
-       * ```
-       *
-       * @param x The input tensor to be reshaped.
-       * @param shape An array of integers defining the output tensor shape.
-       */
-      /** @doc {heading: 'Tensors', subheading: 'Transformations'} */
-      function reshape_(x, shape) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "reshape", null);
-        shape = util["inferFromImplicitShape"](shape, $x.size);
-        util["assert"](
-          $x.size === util["sizeFromShape"](shape),
-          () => "new shape and old shape must have the same number of elements."
-        );
-        const grad = (dy) => {
-          return { x: () => dy.reshape($x.shape) };
-        };
-        const attrs = { shape };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend) => backend.reshape($x, shape),
-          { x: $x },
-          grad,
-          "Reshape",
-          attrs
-        );
-      }
-      /**
-       * Removes dimensions of size 1 from the shape of a `tf.Tensor`.
-       *
-       * ```js
-       * const x = tf.tensor([1, 2, 3, 4], [1, 1, 4]);
-       * x.squeeze().print();
-       * ```
-       *
-       * @param x The input tensor to be squeezed.
-       * @param axis An optional list of numbers. If specified, only
-       *     squeezes the dimensions listed. The dimension index starts at 0. It
-       * is an error to squeeze a dimension that is not 1.
-       */
-      /** @doc {heading: 'Tensors', subheading: 'Transformations'} */
-      function squeeze_(x, axis) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "squeeze");
-        return reshape($x, util["squeezeShape"]($x.shape, axis).newShape);
-      }
-      /**
-       * Casts a `tf.Tensor` to a new dtype.
-       *
-       * ```js
-       * const x = tf.tensor1d([1.5, 2.5, 3]);
-       * tf.cast(x, 'int32').print();
-       * ```
-       * @param x The input tensor to be casted.
-       * @param dtype The dtype to cast the input tensor to.
-       */
-      /** @doc {heading: 'Tensors', subheading: 'Transformations'} */
-      function cast_(x, dtype) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "cast");
-        // Sanity checks.
-        if (!util["isValidDtype"](dtype)) {
-          throw new Error(`Failed to cast to unknown dtype ${dtype}`);
-        }
-        if (
-          (dtype === "string" && $x.dtype !== "string") ||
-          (dtype !== "string" && $x.dtype === "string")
-        ) {
-          throw new Error("Only strings can be casted to strings");
-        }
-        const grad = (dy) => {
-          return { x: () => dy.clone() };
-        };
-        const attrs = { dtype };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend) => backend.cast($x, dtype),
-          { x: $x },
-          grad,
-          "Cast",
-          attrs
-        );
-      }
-      /**
-       * Stacks a list of rank-`R` `tf.Tensor`s into one rank-`(R+1)` `tf.Tensor`.
-       *
-       * ```js
-       * const a = tf.tensor1d([1, 2]);
-       * const b = tf.tensor1d([3, 4]);
-       * const c = tf.tensor1d([5, 6]);
-       * tf.stack([a, b, c]).print();
-       * ```
-       *
-       * @param tensors A list of tensor objects with the same shape and dtype.
-       * @param axis The axis to stack along. Defaults to 0 (the first dim).
-       */
-      /** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */
-      function stack_(tensors, axis = 0) {
-        const $tensors = Object(tensor_util_env["b" /* convertToTensorArray */])(
-          tensors,
-          "tensors",
-          "stack"
-        );
-        util["assert"]($tensors.length >= 1, () => "Pass at least one tensor to tf.stack");
-        if ($tensors.length === 1) {
-          return $tensors[0].expandDims(axis);
-        }
-        const rank = $tensors[0].rank;
-        const shape = $tensors[0].shape;
-        const dtype = $tensors[0].dtype;
-        util["assert"](axis <= rank, () => "Axis must be <= rank of the tensor");
-        $tensors.forEach((t) => {
-          util["assertShapesMatch"](
-            shape,
-            t.shape,
-            "All tensors passed to stack must have matching shapes"
-          );
-        });
-        $tensors.forEach((t) => {
-          util["assert"](
-            dtype === t.dtype,
-            () => "All tensors passed to stack must have matching dtypes"
-          );
-        });
-        const expandedTensors = $tensors.map((t) => t.expandDims(axis));
-        return concat(expandedTensors, axis);
-      }
-      /**
-       * Unstacks a `tf.Tensor` of rank-`R` into a list of rank-`(R-1)` `tf.Tensor`s.
-       *
-       * ```js
-       * const a = tf.tensor2d([1, 2, 3, 4], [2, 2]);
-       *
-       * tf.unstack(a).forEach(tensor => tensor.print());
-       * ```
-       *
-       * @param x A tensor object.
-       * @param axis The axis to unstack along. Defaults to 0 (the first dim).
-       */
-      /** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */
-      function unstack_(x, axis = 0) {
-        axis = axis || 0;
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "unstack");
-        util["assert"](
-          axis >= -$x.shape.length && axis < $x.shape.length,
-          () => `Axis = ${axis} is not in [-${$x.shape.length}, ${$x.shape.length})`
-        );
-        if (axis < 0) {
-          axis += $x.shape.length;
-        }
-        const grad = (dy) => {
-          return { x: () => stack(dy, axis) };
-        };
-        const attrs = { axis };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend) => backend.unstack($x, axis),
-          { x: $x },
-          grad,
-          "Unpack",
-          attrs
-        );
-      }
-      /**
-       * Returns a `tf.Tensor` that has expanded rank, by inserting a dimension
-       * into the tensor's shape.
-       *
-       * ```js
-       * const x = tf.tensor1d([1, 2, 3, 4]);
-       * const axis = 1;
-       * x.expandDims(axis).print();
-       * ```
-       *
-       * @param x The input tensor whose dimensions to be expanded.
-       * @param axis The dimension index at which to insert shape of `1`. Defaults
-       *     to 0 (the first dimension).
-       */
-      /** @doc {heading: 'Tensors', subheading: 'Transformations'} */
-      function expandDims_(x, axis = 0) {
-        const parseAs = null;
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(
-          x,
-          "x",
-          "expandDims",
-          parseAs
-        );
-        util["assert"](axis <= $x.rank, () => "Axis must be <= rank of the tensor");
-        const newShape = $x.shape.slice();
-        if (axis < 0) {
-          // Negative value is counted from the tail of rank.
-          util["assert"](
-            -($x.rank + 1) <= axis,
-            () => `Axis must be in the interval [${-($x.rank + 1)}, ${$x.rank}]`
-          );
-          axis = $x.rank + axis + 1;
-        }
-        newShape.splice(axis, 0, 1);
-        return reshape($x, newShape);
-      }
-      /**
-       * Computes the difference between two lists of numbers.
-       *
-       * Given a Tensor `x` and a Tensor `y`, this operation returns a Tensor `out`
-       * that represents all values that are in `x` but not in `y`. The returned
-       * Tensor `out` is sorted in the same order that the numbers appear in `x`
-       * (duplicates are preserved). This operation also returns a Tensor indices that
-       * represents the position of each out element in `x`. In other words:
-       *
-       * `out[i] = x[idx[i]] for i in [0, 1, ..., out.length - 1]`
-       *
-       * ```js
-       * const x = [1, 2, 3, 4, 5, 6];
-       * const y = [1, 3, 5];
-       *
-       * const [out, indices] = await tf.setdiff1dAsync(x, y);
-       * out.print(); // [2, 4, 6]
-       * indices.print(); // [1, 3, 5]
-       * ```
-       *
-       * @param x 1-D Tensor. Values to keep.
-       * @param y 1-D Tensor. Must have the same type as x. Values to exclude in the
-       *     output.
-       * @returns Promise of Tensor tuple [out, indices].
-       *  out: Tensor with the same type as x.
-       *  indices: A Tensor of type int32.
-       */
-      /** @doc {heading: 'Tensors', subheading: 'Transformations'} */
-      async function setdiff1dAsync_(x, y) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "setdiff1d");
-        const $y = Object(tensor_util_env["a" /* convertToTensor */])(y, "y", "setdiff1d");
-        util["assert"](
-          $x.dtype === $y.dtype,
-          () => `x and y should have the same dtype, but got x (${$x.dtype}) and y (${$y.dtype}).`
-        );
-        util["assert"]($x.rank === 1, () => `x should be 1D tensor, but got x (${$x.shape}).`);
-        util["assert"]($y.rank === 1, () => `y should be 1D tensor, but got y (${$y.shape}).`);
-        const xVals = await $x.data();
-        const yVals = await $y.data();
-        const ySet = new Set(yVals);
-        let outputSize = 0;
-        for (let i = 0; i < xVals.length; i++) {
-          if (!ySet.has(xVals[i])) {
-            outputSize++;
-          }
-        }
-        const buffer = new dist_tensor["b" /* TensorBuffer */]([outputSize], $x.dtype);
-        const indices = new dist_tensor["b" /* TensorBuffer */]([outputSize], "int32");
-        for (let i = 0, p = 0; i < xVals.length; i++) {
-          if (!ySet.has(xVals[i])) {
-            buffer.values[p] = xVals[i];
-            indices.values[p] = i;
-            p++;
-          }
-        }
-        return [buffer.toTensor(), indices.toTensor()];
-      }
-      /**
-       * Creates an empty `tf.TensorBuffer` with the specified `shape` and `dtype`.
-       *
-       * The values are stored in CPU as `TypedArray`. Fill the buffer using
-       * `buffer.set()`, or by modifying directly `buffer.values`.
-       *
-       * When done, call `buffer.toTensor()` to get an immutable `tf.Tensor` with
-       * those values.
-       *
-       * ```js
-       * // Create a buffer and set values at particular indices.
-       * const buffer = tf.buffer([2, 2]);
-       * buffer.set(3, 0, 0);
-       * buffer.set(5, 1, 0);
-       *
-       * // Convert the buffer back to a tensor.
-       * buffer.toTensor().print();
-       * ```
-       *
-       * @param shape An array of integers defining the output tensor shape.
-       * @param dtype The dtype of the buffer. Defaults to 'float32'.
-       * @param values The values of the buffer as `TypedArray`. Defaults to
-       * zeros.
-       */
-      /** @doc {heading: 'Tensors', subheading: 'Creation'} */
-      function array_ops_buffer(shape, dtype = "float32", values) {
-        dtype = dtype || "float32";
-        util["assertNonNegativeIntegerDimensions"](shape);
-        return new dist_tensor["b" /* TensorBuffer */](shape, dtype, values);
-      }
-      /**
-       * Prints information about the `tf.Tensor` including its data.
-       *
-       * ```js
-       * const verbose = true;
-       * tf.tensor2d([1, 2, 3, 4], [2, 2]).print(verbose);
-       * ```
-       * @param x The tensor to be printed.
-       * @param verbose Whether to print verbose information about the ` Tensor`,
-       * including dtype and size.
-       */
-      /** @doc {heading: 'Tensors', subheading: 'Creation'} */
-      function print(x, verbose = false) {
-        console.log(x.toString(verbose));
-      }
-
-      const cast = Object(operation["a" /* op */])({ cast_ });
-      const expandDims = Object(operation["a" /* op */])({ expandDims_ });
-      const reshape = Object(operation["a" /* op */])({ reshape_ });
-      const squeeze = Object(operation["a" /* op */])({ squeeze_ });
-      const stack = Object(operation["a" /* op */])({ stack_ });
-      const unstack = Object(operation["a" /* op */])({ unstack_ });
-      const setdiff1dAsync = setdiff1dAsync_;
-      //# sourceMappingURL=array_ops.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/floorDiv.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Divides two `tf.Tensor`s element-wise, A / B. Supports broadcasting.
-       * The result is rounded with floor function.
-       *
-       *
-       * ```js
-       * const a = tf.tensor1d([1, 4, 9, 16]);
-       * const b = tf.tensor1d([1, 2, 3, 4]);
-       *
-       * a.floorDiv(b).print();  // or tf.div(a, b)
-       * ```
-       *
-       * ```js
-       * // Broadcast div a with b.
-       * const a = tf.tensor1d([2, 4, 6, 8]);
-       * const b = tf.scalar(2);
-       *
-       * a.floorDiv(b).print();  // or tf.floorDiv(a, b)
-       * ```
-       *
-       * @param a The first tensor as the numerator.
-       * @param b The second tensor as the denominator. Must have the same dtype as
-       * `a`.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Arithmetic'} */
-      function floorDiv_(a, b) {
-        let $a = Object(tensor_util_env["a" /* convertToTensor */])(a, "a", "floorDiv");
-        let $b = Object(tensor_util_env["a" /* convertToTensor */])(b, "b", "floorDiv");
-        [$a, $b] = Object(tensor_util["makeTypesMatch"])($a, $b);
-        const forward = (backend, save) => {
-          const res = backend.floorDiv($a, $b);
-          save([$a, $b]);
-          return res;
-        };
-        const inputs = { a: $a, b: $b };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* gradient */,
-          kernel_names["D" /* FloorDiv */]
-        );
-      }
-      const floorDiv = Object(operation["a" /* op */])({ floorDiv_ });
-      //# sourceMappingURL=floorDiv.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/div.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Divides two `tf.Tensor`s element-wise, A / B. Supports broadcasting.
-       *
-       * ```js
-       * const a = tf.tensor1d([1, 4, 9, 16]);
-       * const b = tf.tensor1d([1, 2, 3, 4]);
-       *
-       * a.div(b).print();  // or tf.div(a, b)
-       * ```
-       *
-       * ```js
-       * // Broadcast div a with b.
-       * const a = tf.tensor1d([2, 4, 6, 8]);
-       * const b = tf.scalar(2);
-       *
-       * a.div(b).print();  // or tf.div(a, b)
-       * ```
-       *
-       * @param a The first tensor as the numerator.
-       * @param b The second tensor as the denominator. Must have the same dtype as
-       * `a`.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Arithmetic'} */
-      function div_(a, b) {
-        let $a = Object(tensor_util_env["a" /* convertToTensor */])(a, "a", "div");
-        let $b = Object(tensor_util_env["a" /* convertToTensor */])(b, "b", "div");
-        [$a, $b] = Object(tensor_util["makeTypesMatch"])($a, $b);
-        if ($a.dtype === "int32" && $b.dtype === "int32") {
-          return floorDiv($a, $b);
-        }
-        const forward = (backend, save) => {
-          const res = backend.realDivide($a, $b);
-          save([$a, $b]);
-          return res;
-        };
-        const inputs = { a: $a, b: $b };
-        const attrs = {};
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* gradient */,
-          kernel_names["y" /* Div */],
-          attrs
-        );
-      }
-      const div = Object(operation["a" /* op */])({ div_ });
-      //# sourceMappingURL=div.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/mul.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Multiplies two `tf.Tensor`s element-wise, A * B. Supports broadcasting.
-       *
-       * We also expose `tf.mulStrict` which has the same signature as this op and
-       * asserts that `a` and `b` are the same shape (does not broadcast).
-       *
-       * ```js
-       * const a = tf.tensor1d([1, 2, 3, 4]);
-       * const b = tf.tensor1d([2, 3, 4, 5]);
-       *
-       * a.mul(b).print();  // or tf.mul(a, b)
-       * ```
-       *
-       * ```js
-       * // Broadcast mul a with b.
-       * const a = tf.tensor1d([1, 2, 3, 4]);
-       * const b = tf.scalar(5);
-       *
-       * a.mul(b).print();  // or tf.mul(a, b)
-       * ```
-       * @param a The first tensor to multiply.
-       * @param b The second tensor to multiply. Must have the same dtype as `a`.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Arithmetic'} */
-      function mul_(a, b) {
-        let $a = Object(tensor_util_env["a" /* convertToTensor */])(a, "a", "mul");
-        let $b = Object(tensor_util_env["a" /* convertToTensor */])(b, "b", "mul");
-        [$a, $b] = Object(tensor_util["makeTypesMatch"])($a, $b);
-        const forward = (backend, save) => {
-          const res = backend.multiply($a, $b);
-          save([$a, $b]);
-          return res;
-        };
-        const inputs = { a: $a, b: $b };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* gradient */,
-          kernel_names["Y" /* Multiply */]
-        );
-      }
-      const mul = Object(operation["a" /* op */])({ mul_ });
-      //# sourceMappingURL=mul.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients.js
-      /**
-       * @license
-       * Copyright 2018 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Provided `f(x)`, returns another function `g(x, dy?)`, which gives the
-       * gradient of `f(x)` with respect to `x`.
-       *
-       * If `dy` is provided, the gradient of `f(x).mul(dy).sum()` with respect to
-       * `x` is computed instead. `f(x)` must take a single tensor `x` and return a
-       * single tensor `y`. If `f()` takes multiple inputs, use `tf.grads` instead.
-       *
-       * ```js
-       * // f(x) = x ^ 2
-       * const f = x => x.square();
-       * // f'(x) = 2x
-       * const g = tf.grad(f);
-       *
-       * const x = tf.tensor1d([2, 3]);
-       * g(x).print();
-       * ```
-       *
-       * ```js
-       * // f(x) = x ^ 3
-       * const f = x => x.pow(tf.scalar(3, 'int32'));
-       * // f'(x) = 3x ^ 2
-       * const g = tf.grad(f);
-       * // f''(x) = 6x
-       * const gg = tf.grad(g);
-       *
-       * const x = tf.tensor1d([2, 3]);
-       * gg(x).print();
-       * ```
-       *
-       * @param f The function f(x), to compute gradient for.
-       */
-      /** @doc {heading: 'Training', subheading: 'Gradients'} */
-      function gradients_grad(f) {
-        util["assert"](util["isFunction"](f), () => "The f passed in grad(f) must be a function");
-        return (x, dy) => {
-          // x can be of any dtype, thus null as the last argument.
-          const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "tf.grad", null);
-          const $dy =
-            dy != null
-              ? Object(tensor_util_env["a" /* convertToTensor */])(dy, "dy", "tf.grad")
-              : null;
-          return engine["a" /* ENGINE */].tidy(() => {
-            const { value, grads } = engine["a" /* ENGINE */].gradients(() => f($x), [$x], $dy);
-            if ($dy != null) {
-              util["assertShapesMatch"](
-                value.shape,
-                $dy.shape,
-                "The shape of dy passed in grad(f)(x, dy) must match the shape " +
-                  "returned by f(x)"
-              );
-            }
-            checkGrads(grads);
-            return grads[0];
-          });
-        };
-      }
-      /**
-       * Provided `f(x1, x2,...)`, returns another function `g([x1, x2,...], dy?)`,
-       * which gives an array of gradients of `f()` with respect to each input
-       * [`x1`,`x2`,...].
-       *
-       * If `dy` is passed when calling `g()`, the gradient of
-       * `f(x1,...).mul(dy).sum()` with respect to each input is computed instead.
-       * The provided `f` must take one or more tensors and return a single tensor
-       * `y`. If `f()` takes a single input, we recommend using `tf.grad` instead.
-       *
-       * ```js
-       * // f(a, b) = a * b
-       * const f = (a, b) => a.mul(b);
-       * // df / da = b, df / db = a
-       * const g = tf.grads(f);
-       *
-       * const a = tf.tensor1d([2, 3]);
-       * const b = tf.tensor1d([-2, -3]);
-       * const [da, db] = g([a, b]);
-       * console.log('da');
-       * da.print();
-       * console.log('db');
-       * db.print();
-       * ```
-       *
-       * @param f The function `f(x1, x2,...)` to compute gradients for.
-       */
-      /** @doc {heading: 'Training', subheading: 'Gradients'} */
-      function gradients_grads(f) {
-        util["assert"](util["isFunction"](f), () => "The f passed in grads(f) must be a function");
-        return (args, dy) => {
-          util["assert"](
-            Array.isArray(args),
-            () =>
-              "The args passed in grads(f)(args) must be an array " +
-              "of `Tensor`s or `TensorLike`s"
-          );
-          // args can be of any dtype, thus null as the last argument.
-          const $args = Object(tensor_util_env["b" /* convertToTensorArray */])(
-            args,
-            "args",
-            "tf.grads",
-            null
-          );
-          const $dy =
-            dy != null
-              ? Object(tensor_util_env["a" /* convertToTensor */])(dy, "dy", "tf.grads")
-              : null;
-          return engine["a" /* ENGINE */].tidy(() => {
-            const { value, grads } = engine["a" /* ENGINE */].gradients(
-              () => f(...$args),
-              $args,
-              $dy
-            );
-            if ($dy != null) {
-              util["assertShapesMatch"](
-                value.shape,
-                $dy.shape,
-                "The shape of dy passed in grads(f)([x1,...], dy) must " +
-                  "match the shape returned by f([x1,...])"
-              );
-            }
-            checkGrads(grads);
-            return grads;
-          });
-        };
-      }
-      /**
-       * Like `tf.grad`, but also returns the value of `f()`. Useful when `f()`
-       * returns a metric you want to show.
-       *
-       * The result is a rich object with the following properties:
-       * - grad: The gradient of `f(x)` w.r.t `x` (result of `tf.grad`).
-       * - value: The value returned by `f(x)`.
-       *
-       * ```js
-       * // f(x) = x ^ 2
-       * const f = x => x.square();
-       * // f'(x) = 2x
-       * const g = tf.valueAndGrad(f);
-       *
-       * const x = tf.tensor1d([2, 3]);
-       * const {value, grad} = g(x);
-       *
-       * console.log('value');
-       * value.print();
-       * console.log('grad');
-       * grad.print();
-       * ```
-       */
-      /** @doc {heading: 'Training', subheading: 'Gradients'} */
-      function valueAndGrad(f) {
-        util["assert"](
-          util["isFunction"](f),
-          () => "The f passed in valueAndGrad(f) must be a function"
-        );
-        return (x, dy) => {
-          util["assert"](
-            x instanceof dist_tensor["a" /* Tensor */],
-            () => "The x passed in valueAndGrad(f)(x) must be a tensor"
-          );
-          util["assert"](
-            dy == null || dy instanceof dist_tensor["a" /* Tensor */],
-            () => "The dy passed in valueAndGrad(f)(x, dy) must be a tensor"
-          );
-          const { grads, value } = engine["a" /* ENGINE */].gradients(() => f(x), [x], dy);
-          checkGrads(grads);
-          return { grad: grads[0], value };
-        };
-      }
-      /**
-       * Like `tf.grads`, but returns also the value of `f()`. Useful when `f()`
-       * returns a metric you want to show.
-       *
-       * The result is a rich object with the following properties:
-       * - grads: The gradients of `f()` w.r.t each input (result of `tf.grads`).
-       * - value: The value returned by `f(x)`.
-       *
-       * ```js
-       * // f(a, b) = a * b
-       * const f = (a, b) => a.mul(b);
-       * // df/da = b, df/db = a
-       * const g = tf.valueAndGrads(f);
-       *
-       * const a = tf.tensor1d([2, 3]);
-       * const b = tf.tensor1d([-2, -3]);
-       * const {value, grads} = g([a, b]);
-       *
-       * const [da, db] = grads;
-       *
-       * console.log('value');
-       * value.print();
-       *
-       * console.log('da');
-       * da.print();
-       * console.log('db');
-       * db.print();
-       * ```
-       */
-      /** @doc {heading: 'Training', subheading: 'Gradients'} */
-      function valueAndGrads(f) {
-        util["assert"](
-          util["isFunction"](f),
-          () => "The f passed in valueAndGrads(f) must be a function"
-        );
-        return (args, dy) => {
-          util["assert"](
-            Array.isArray(args) &&
-              args.every((arg) => arg instanceof dist_tensor["a" /* Tensor */]),
-            () => "The args passed in valueAndGrads(f)(args) must be array of " + "tensors"
-          );
-          util["assert"](
-            dy == null || dy instanceof dist_tensor["a" /* Tensor */],
-            () => "The dy passed in valueAndGrads(f)(args, dy) must be a tensor"
-          );
-          const res = engine["a" /* ENGINE */].gradients(() => f(...args), args, dy);
-          if (dy != null) {
-            util["assertShapesMatch"](
-              res.value.shape,
-              dy.shape,
-              "The shape of dy passed in valueAndGrads(f)([x1,...], dy) must " +
-                "match the shape returned by f([x1,...])"
-            );
-          }
-          checkGrads(res.grads);
-          return res;
-        };
-      }
-      /**
-       * Computes and returns the gradient of f(x) with respect to the list of
-       * trainable variables provided by `varList`. If no list is provided, it
-       * defaults to all trainable variables.
-       *
-       * ```js
-       * const a = tf.variable(tf.tensor1d([3, 4]));
-       * const b = tf.variable(tf.tensor1d([5, 6]));
-       * const x = tf.tensor1d([1, 2]);
-       *
-       * // f(a, b) = a * x ^ 2 + b * x
-       * const f = () => a.mul(x.square()).add(b.mul(x)).sum();
-       * // df/da = x ^ 2, df/db = x
-       * const {value, grads} = tf.variableGrads(f);
-       *
-       * Object.keys(grads).forEach(varName => grads[varName].print());
-       * ```
-       *
-       * @param f The function to execute. f() should return a scalar.
-       * @param varList The list of variables to compute the gradients with respect
-       *     to. Defaults to all trainable variables.
-       * @returns An object with the following keys and values:
-       *   - `value`: The value of the function `f`.
-       *   - `grads`: A map from the names of the variables to the gradients.
-       *     If the `varList` argument is provided explicitly and contains a subset of
-       *     non-trainable variables, this map in the return value will contain keys
-       *     that map the names of the non-trainable variables to `null`.
-       */
-      /** @doc {heading: 'Training', subheading: 'Gradients'} */
-      function variableGrads(f, varList) {
-        util["assert"](
-          util["isFunction"](f),
-          () => "The f passed in variableGrads(f) must be a function"
-        );
-        util["assert"](
-          varList == null ||
-            (Array.isArray(varList) &&
-              varList.every((v) => v instanceof dist_tensor["c" /* Variable */])),
-          () => "The varList passed in variableGrads(f, varList) must be an array " + "of variables"
-        );
-        const specifiedVarList = varList != null;
-        if (!specifiedVarList) {
-          // Get all of the trainable variables.
-          varList = [];
-          for (const varName in engine["a" /* ENGINE */].registeredVariables) {
-            varList.push(engine["a" /* ENGINE */].registeredVariables[varName]);
-          }
-        }
-        const specifiedNonTrainable = specifiedVarList
-          ? varList.filter((variable) => !variable.trainable)
-          : null;
-        // Prune non-trainable variables.
-        const originalVarCount = varList.length;
-        varList = varList.filter((variable) => variable.trainable);
-        util["assert"](
-          varList.length > 0,
-          () =>
-            `variableGrads() expects at least one of the input variables to ` +
-            `be trainable, but none of the ${originalVarCount} variables is ` +
-            `trainable.`
-        );
-        const allowNoGradients = true;
-        const { value, grads } = engine["a" /* ENGINE */].gradients(
-          f,
-          varList,
-          null,
-          allowNoGradients
-        );
-        util["assert"](
-          grads.some((g) => g != null),
-          () =>
-            "Cannot find a connection between any variable and the result of " +
-            "the loss function y=f(x). Please make sure the operations that " +
-            "use variables are inside the function f passed to minimize()."
-        );
-        util["assert"](
-          value.rank === 0,
-          () =>
-            `The f passed in variableGrads(f) must return a scalar, but it ` +
-            `returned a rank-${value.rank} tensor`
-        );
-        const namedGrads = {};
-        varList.forEach((v, i) => {
-          if (grads[i] != null) {
-            namedGrads[v.name] = grads[i];
-          }
-        });
-        if (specifiedNonTrainable != null) {
-          // If varList is explicitly provided and contains non-trainable values,
-          // add them to the returned gradients with `null` values.
-          specifiedNonTrainable.forEach((v) => (namedGrads[v.name] = null));
-        }
-        return { value, grads: namedGrads };
-      }
-      /**
-       * Overrides the gradient computation of a function `f`.
-       *
-       * Takes a function
-       * `f(...inputs, save) => {value: Tensor, gradFunc: (dy, saved) => Tensor[]}`
-       * and returns another function `g(...inputs)` which takes the same inputs as
-       * `f`. When called, `g` returns `f().value`. In backward mode, custom gradients
-       * with respect to each input of `f` are computed using `f().gradFunc`.
-       *
-       * The `save` function passsed to `f` should be used for saving tensors needed
-       * in the gradient. And the `saved` passed to the `gradFunc` is a
-       * `NamedTensorMap`, which contains those saved tensor.
-       *
-       * ```js
-       * const customOp = tf.customGrad((x, save) => {
-       *   // Save x to make sure it's available later for the gradient.
-       *   save([x]);
-       *   // Override gradient of our custom x ^ 2 op to be dy * abs(x);
-       *   return {
-       *     value: x.square(),
-       *     // Note `saved.x` which points to the `x` we saved earlier.
-       *     gradFunc: (dy, saved) => [dy.mul(saved[0].abs())]
-       *   };
-       * });
-       *
-       * const x = tf.tensor1d([-1, -2, 3]);
-       * const dx = tf.grad(x => customOp(x));
-       *
-       * console.log(`f(x):`);
-       * customOp(x).print();
-       * console.log(`f'(x):`);
-       * dx(x).print();
-       * ```
-       *
-       * @param f The function to evaluate in forward mode, which should return
-       *     `{value: Tensor, gradFunc: (dy, saved) => Tensor[]}`, where `gradFunc`
-       *     returns the custom gradients of `f` with respect to its inputs.
-       */
-      /** @doc {heading: 'Training', subheading: 'Gradients'} */
-      function customGrad(f) {
-        return engine["a" /* ENGINE */].customGrad(f);
-      }
-      function checkGrads(grads) {
-        const numNullGradients = grads.filter((g) => g == null).length;
-        if (numNullGradients > 0) {
-          throw new Error(`Cannot compute gradient of y=f(x) with respect to x. Make sure that
-    the f you passed encloses all operations that lead from x to y.`);
-        }
-      }
-
-      //# sourceMappingURL=gradients.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/axis_util.js
-      /**
-       * @license
-       * Copyright 2017 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Returns true if the axis specifies the inner most dimensions of the
-       * array.
-       */
-      function axesAreInnerMostDims(axes, rank) {
-        for (let i = 0; i < axes.length; ++i) {
-          if (axes[axes.length - i - 1] !== rank - 1 - i) {
-            return false;
-          }
-        }
-        return true;
-      }
-      function combineLocations(outputLoc, reduceLoc, axes) {
-        const rank = outputLoc.length + reduceLoc.length;
-        const loc = [];
-        let outIdx = 0;
-        let reduceIdx = 0;
-        for (let dim = 0; dim < rank; dim++) {
-          if (axes.indexOf(dim) === -1) {
-            loc.push(outputLoc[outIdx++]);
-          } else {
-            loc.push(reduceLoc[reduceIdx++]);
-          }
-        }
-        return loc;
-      }
-      function computeOutAndReduceShapes(aShape, axes) {
-        const outShape = [];
-        const rank = aShape.length;
-        for (let dim = 0; dim < rank; dim++) {
-          if (axes.indexOf(dim) === -1) {
-            outShape.push(aShape[dim]);
-          }
-        }
-        const reduceShape = axes.map((dim) => aShape[dim]);
-        return [outShape, reduceShape];
-      }
-      function expandShapeToKeepDim(shape, axes) {
-        const reduceSubShape = axes.map((x) => 1);
-        return combineLocations(shape, reduceSubShape, axes);
-      }
-      function assertAxesAreInnerMostDims(msg, axes, rank) {
-        util["assert"](
-          axesAreInnerMostDims(axes, rank),
-          () =>
-            `${msg} supports only inner-most axes for now. ` +
-            `Got axes ${axes} and rank-${rank} input.`
-        );
-      }
-      /**
-       * Returns the axes permutation to be used with `tf.transpose`, if such
-       * permutation is necessary. Otherwise it returns null. This method is used by
-       * operations that operate only on inner-most axes.
-       */
-      function getAxesPermutation(axes, rank) {
-        if (axesAreInnerMostDims(axes, rank)) {
-          return null;
-        }
-        const result = [];
-        for (let i = 0; i < rank; ++i) {
-          if (axes.indexOf(i) === -1) {
-            result.push(i);
-          }
-        }
-        axes.forEach((axis) => result.push(axis));
-        return result;
-      }
-      /** Returns the axes permutation that undoes the original permutation. */
-      function getUndoAxesPermutation(axes) {
-        return axes
-          .map((axis, i) => [i, axis])
-          .sort((a, b) => a[1] - b[1])
-          .map((x) => x[0]);
-      }
-      function getInnerMostAxes(numAxes, rank) {
-        const res = [];
-        for (let i = rank - numAxes; i < rank; ++i) {
-          res.push(i);
-        }
-        return res;
-      }
-      //# sourceMappingURL=axis_util.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/reduction_ops_util.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Gradient helper function for the min and max operations.
-       */
-      function gradForMinAndMax(dy, y, xOrig, origAxes, permutedAxes) {
-        if (y.rank < xOrig.rank) {
-          y = y.reshape(expandShapeToKeepDim(y.shape, origAxes));
-        }
-        if (dy.rank < xOrig.rank) {
-          dy = dy.reshape(expandShapeToKeepDim(dy.shape, origAxes));
-        }
-        return {
-          x: () => {
-            const dx = dy.mul(xOrig.equal(y).cast(dy.dtype));
-            return permutedAxes == null ? dx : dx.transpose(permutedAxes);
-          },
-        };
-      }
-      //# sourceMappingURL=reduction_ops_util.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/reduction_ops.js
-      /**
-       * @license
-       * Copyright 2018 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Computes the log(sum(exp(elements across the reduction dimensions)).
-       *
-       * Reduces the input along the dimensions given in `axis`. Unless `keepDims`
-       * is true, the rank of the array is reduced by 1 for each entry in `axis`.
-       * If `keepDims` is true, the reduced dimensions are retained with length 1.
-       * If `axis` has no entries, all dimensions are reduced, and an array with a
-       * single element is returned.
-       *
-       * ```js
-       * const x = tf.tensor1d([1, 2, 3]);
-       *
-       * x.logSumExp().print();  // or tf.logSumExp(x)
-       * ```
-       *
-       * ```js
-       * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);
-       *
-       * const axis = 1;
-       * x.logSumExp(axis).print();  // or tf.logSumExp(a, axis)
-       * ```
-       * @param x The input tensor.
-       * @param axis The dimension(s) to reduce. If null (the default),
-       *     reduces all dimensions.
-       * @param keepDims If true, retains reduced dimensions with length
-       *     of 1. Defaults to false.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Reduction'} */
-      function logSumExp_(x, axis = null, keepDims = false) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "logSumExp");
-        const axes = util["parseAxisParam"](axis, $x.shape);
-        const xMax = $x.max(axes, true /* keepDims */);
-        const a = $x.sub(xMax);
-        const b = a.exp();
-        const c = b.sum(axes);
-        const d = c.log();
-        const res = xMax.reshape(d.shape).add(d);
-        if (keepDims) {
-          const newShape = expandShapeToKeepDim(res.shape, axes);
-          return res.reshape(newShape);
-        }
-        return res;
-      }
-      /**
-       * Computes the sum of elements across dimensions of a `tf.Tensor`.
-       *
-       * Reduces the input along the dimensions given in `axes`. Unless `keepDims`
-       * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in
-       * `axes`. If `keepDims` is true, the reduced dimensions are retained with
-       * length 1. If axes has no entries, all dimensions are reduced, and a
-       * `tf.Tensor` with a single element is returned.
-       *
-       * ```js
-       * const x = tf.tensor1d([1, 2, 3]);
-       *
-       * x.sum().print();  // or tf.sum(x)
-       * ```
-       *
-       * ```js
-       * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);
-       *
-       * const axis = 1;
-       * x.sum(axis).print();  // or tf.sum(x, axis)
-       * ```
-       *
-       * @param x The input tensor to compute the sum over. If the dtype is `bool`
-       *   it will be converted to `int32` and the output dtype will be `int32`.
-       * @param axis The dimension(s) to reduce. By default it reduces
-       *     all dimensions.
-       * @param keepDims If true, retains reduced dimensions with size 1.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Reduction'} */
-      function sum_(x, axis = null, keepDims = false) {
-        let $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "sum");
-        if ($x.dtype === "bool") {
-          $x = $x.toInt();
-        }
-        const axes = util["parseAxisParam"](axis, $x.shape);
-        // Use a custom gradient to bypass 2 gradient backprops since sum is used
-        // extremely often.
-        const customOp = customGrad((x) => {
-          const permutation = getAxesPermutation(axes, x.rank);
-          let reductionAxes = axes;
-          let permutedX = x;
-          if (permutation != null) {
-            permutedX = x.transpose(permutation);
-            reductionAxes = getInnerMostAxes(reductionAxes.length, x.rank);
-          }
-          const gradFunc = (dy) => {
-            const expandedDyShape = x.shape.slice();
-            axes.forEach((axis) => {
-              expandedDyShape[axis] = 1;
-            });
-            const expandedDy = dy.reshape(expandedDyShape);
-            const derX = expandedDy.mul(Object(tensor_ops["b" /* ones */])(x.shape, "float32"));
-            return derX;
-          };
-          const gradInputs = (dy) => {
-            return { x: () => gradFunc(dy) };
-          };
-          const attrs = { axes: reductionAxes };
-          let value = engine["a" /* ENGINE */].runKernelFunc(
-            (backend) => backend.sum(permutedX, reductionAxes),
-            { x: permutedX },
-            gradInputs,
-            "Sum",
-            attrs
-          );
-          if (keepDims) {
-            const newShape = expandShapeToKeepDim(value.shape, axes);
-            value = value.reshape(newShape);
-          }
-          return { value, gradFunc };
-        });
-        return customOp($x);
-      }
-      /**
-       * Computes the product of elements across dimensions of a `tf.Tensor`.
-       *
-       * Reduces the input along the dimensions given in `axes`. Unless `keepDims`
-       * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in
-       * `axes`. If `keepDims` is true, the reduced dimensions are retained with
-       * length 1. If `axes` has no entries, all dimensions are reduced, and a
-       * `tf.Tensor` with a single element is returned.
-       *
-       * ```js
-       * const x = tf.tensor1d([1, 2, 3]);
-       *
-       * x.prod().print();  // or tf.prod(x)
-       * ```
-       *
-       * ```js
-       * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);
-       *
-       * const axis = 1;
-       * x.prod(axis).print();  // or tf.prod(x, axis)
-       * ```
-       *
-       * @param x The input tensor to compute the product over. If the dtype is `bool`
-       *   it will be converted to `int32` and the output dtype will be `int32`.
-       * @param axis The dimension(s) to reduce. By default it reduces
-       *     all dimensions.
-       * @param keepDims If true, retains reduced dimensions with size 1.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Reduction'} */
-      function prod_(x, axis = null, keepDims = false) {
-        let $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "prod");
-        if ($x.dtype === "bool") {
-          $x = $x.toInt();
-        }
-        const axes = util["parseAxisParam"](axis, $x.shape);
-        const permutation = getAxesPermutation(axes, $x.rank);
-        let reductionAxes = axes;
-        let permutedX = $x;
-        if (permutation != null) {
-          permutedX = $x.transpose(permutation);
-          reductionAxes = getInnerMostAxes(reductionAxes.length, $x.rank);
-        }
-        let value = engine["a" /* ENGINE */].runKernelFunc(
-          (backend) => backend.prod(permutedX, reductionAxes),
-          { permutedX }
-        );
-        if (keepDims) {
-          const newShape = expandShapeToKeepDim(value.shape, axes);
-          value = value.reshape(newShape);
-        }
-        return value;
-      }
-      /**
-       * Computes the mean of elements across dimensions of a `tf.Tensor`.
-       *
-       * Reduces `x` along the dimensions given in `axis`. Unless `keepDims` is
-       * true, the rank of the `tf.Tensor` is reduced by 1 for each entry in `axis`.
-       * If `keepDims` is true, the reduced dimensions are retained with length 1.
-       * If `axis` has no entries, all dimensions are reduced, and a `tf.Tensor` with
-       * a single element is returned.
-       *
-       * ```js
-       * const x = tf.tensor1d([1, 2, 3]);
-       *
-       * x.mean().print();  // or tf.mean(a)
-       * ```
-       *
-       * ```js
-       * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);
-       *
-       * const axis = 1;
-       * x.mean(axis).print();  // or tf.mean(x, axis)
-       * ```
-       *
-       * @param x The input tensor.
-       * @param axis The dimension(s) to reduce. By default it reduces
-       *     all dimensions.
-       * @param keepDims If true, retains reduced dimensions with size 1.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Reduction'} */
-      function mean_(x, axis = null, keepDims = false) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "mean");
-        const axes = util["parseAxisParam"](axis, $x.shape);
-        const shapes = computeOutAndReduceShapes($x.shape, axes);
-        const reduceShape = shapes[1];
-        const reduceSize = util["sizeFromShape"](reduceShape);
-        // Use a custom gradient to bypass 2 gradient backprops since mean is used
-        // extremely often.
-        const customOp = customGrad((x) => {
-          const reduceSizeScalar = Object(tensor_ops["e" /* scalar */])(reduceSize);
-          // Cast if needed.
-          const xReduce = reduceSizeScalar.dtype === x.dtype ? x : x.cast(reduceSizeScalar.dtype);
-          const res = xReduce.div(reduceSizeScalar);
-          const value = res.sum(axis, keepDims);
-          const gradFunc = (dy) => {
-            const expandedDyShape = x.shape.slice();
-            axes.forEach((axis) => {
-              expandedDyShape[axis] = 1;
-            });
-            const expandedDy = dy.reshape(expandedDyShape);
-            const derX = expandedDy
-              .mul(Object(tensor_ops["b" /* ones */])(x.shape, "float32"))
-              .div(reduceSize);
-            return derX;
-          };
-          return { value, gradFunc };
-        });
-        return customOp($x);
-      }
-      /**
-       * Computes the minimum value from the input.
-       *
-       * Reduces the input along the dimensions given in `axes`. Unless `keepDims`
-       * is true, the rank of the array is reduced by 1 for each entry in `axes`.
-       * If `keepDims` is true, the reduced dimensions are retained with length 1.
-       * If `axes` has no entries, all dimensions are reduced, and an array with a
-       * single element is returned.
-       *
-       * ```js
-       * const x = tf.tensor1d([1, 2, 3]);
-       *
-       * x.min().print();  // or tf.min(x)
-       * ```
-       *
-       * ```js
-       * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);
-       *
-       * const axis = 1;
-       * x.min(axis).print();  // or tf.min(x, axis)
-       * ```
-       *
-       * @param x The input Tensor.
-       * @param axis The dimension(s) to reduce. By default it reduces
-       *     all dimensions.
-       * @param keepDims If true, retains reduced dimensions with size 1.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Reduction'} */
-      function min_(x, axis = null, keepDims = false) {
-        let $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "min");
-        const xOrig = $x;
-        const origAxes = util["parseAxisParam"](axis, $x.shape);
-        let axes = origAxes;
-        const permutedAxes = getAxesPermutation(axes, $x.rank);
-        if (permutedAxes != null) {
-          $x = $x.transpose(permutedAxes);
-          axes = getInnerMostAxes(axes.length, $x.rank);
-        }
-        const grad = (dy, saved) =>
-          gradForMinAndMax(dy, saved[1], saved[0], origAxes, permutedAxes);
-        const inputsToSave = [$x];
-        const outputsToSave = [true];
-        let res = engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const y = backend.min($x, axes);
-            save([xOrig, y]);
-            return y;
-          },
-          { x: $x },
-          grad,
-          "Min",
-          { axes },
-          inputsToSave,
-          outputsToSave
-        );
-        if (keepDims) {
-          const newShape = expandShapeToKeepDim(res.shape, origAxes);
-          res = res.reshape(newShape);
-        }
-        return res;
-      }
-      /**
-       * Returns the indices of the minimum values along an `axis`.
-       *
-       * The result has the same shape as `input` with the dimension along `axis`
-       * removed.
-       *
-       * ```js
-       * const x = tf.tensor1d([1, 2, 3]);
-       *
-       * x.argMin().print();  // or tf.argMin(x)
-       * ```
-       *
-       * ```js
-       * const x = tf.tensor2d([1, 2, 4, 3], [2, 2]);
-       *
-       * const axis = 1;
-       * x.argMin(axis).print();  // or tf.argMin(x, axis)
-       * ```
-       *
-       * @param x The input tensor.
-       * @param axis The dimension to reduce. Defaults to 0 (outer-most dimension).
-       *
-       */
-      /** @doc {heading: 'Operations', subheading: 'Reduction'} */
-      function argMin_(x, axis = 0) {
-        let $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "argMin");
-        if (axis == null) {
-          axis = 0;
-        }
-        let axes = util["parseAxisParam"](axis, $x.shape);
-        const permutedAxes = getAxesPermutation(axes, $x.rank);
-        if (permutedAxes != null) {
-          $x = $x.transpose(permutedAxes);
-          axes = getInnerMostAxes(axes.length, $x.rank);
-        }
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return { $x: () => Object(tensor_ops["o" /* zerosLike */])($x) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.argMin($x, axes[0]);
-            save([$x]);
-            return res;
-          },
-          { $x },
-          grad
-        );
-      }
-      /**
-       * Returns the indices of the maximum values along an `axis`.
-       *
-       * The result has the same shape as `input` with the dimension along `axis`
-       * removed.
-       *
-       * ```js
-       * const x = tf.tensor1d([1, 2, 3]);
-       *
-       * x.argMax().print();  // or tf.argMax(x)
-       * ```
-       *
-       * ```js
-       * const x = tf.tensor2d([1, 2, 4, 3], [2, 2]);
-       *
-       * const axis = 1;
-       * x.argMax(axis).print();  // or tf.argMax(x, axis)
-       * ```
-       *
-       * @param x The input tensor.
-       * @param axis The dimension to reduce. Defaults to 0 (outer-most dimension).
-       */
-      /** @doc {heading: 'Operations', subheading: 'Reduction'} */
-      function argMax_(x, axis = 0) {
-        let $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "argMax");
-        if (axis == null) {
-          axis = 0;
-        }
-        let axes = util["parseAxisParam"](axis, $x.shape);
-        const permutedAxes = getAxesPermutation(axes, $x.rank);
-        if (permutedAxes != null) {
-          $x = $x.transpose(permutedAxes);
-          axes = getInnerMostAxes(axes.length, $x.rank);
-        }
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return { x: () => Object(tensor_ops["o" /* zerosLike */])($x) };
-        };
-        const attrs = { axis: axes[0] };
-        const inputsToSave = [$x];
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.argMax($x, axes[0]);
-            save([$x]);
-            return res;
-          },
-          { x: $x },
-          grad,
-          "ArgMax",
-          attrs,
-          inputsToSave
-        );
-      }
-      /**
-       * Computes the logical and of elements across dimensions of a `tf.Tensor`.
-       *
-       * Reduces the input along the dimensions given in `axes`. Unless `keepDims`
-       * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in
-       * `axes`. If `keepDims` is true, the reduced dimensions are retained with
-       * length 1. If `axes` has no entries, all dimensions are reduced, and an
-       * `tf.Tensor` with a single element is returned.
-       *
-       * ```js
-       * const x = tf.tensor1d([1, 1, 1], 'bool');
-       *
-       * x.all().print();  // or tf.all(x)
-       * ```
-       *
-       * ```js
-       * const x = tf.tensor2d([1, 1, 0, 0], [2, 2], 'bool');
-       *
-       * const axis = 1;
-       * x.all(axis).print();  // or tf.all(x, axis)
-       * ```
-       *
-       * @param x The input tensor. Must be of dtype bool.
-       * @param axis The dimension(s) to reduce. By default it reduces
-       *     all dimensions.
-       * @param keepDims If true, retains reduced dimensions with size 1.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Reduction'} */
-      function all_(x, axis = null, keepDims = false) {
-        let $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "all", "bool");
-        const origAxes = util["parseAxisParam"](axis, $x.shape);
-        let axes = origAxes;
-        const permutedAxes = getAxesPermutation(axes, $x.rank);
-        if (permutedAxes != null) {
-          $x = $x.transpose(permutedAxes);
-          axes = getInnerMostAxes(axes.length, $x.rank);
-        }
-        const res = engine["a" /* ENGINE */].runKernelFunc((backend) => backend.all($x, axes), {
-          $x,
-        });
-        if (keepDims) {
-          const newShape = expandShapeToKeepDim(res.shape, origAxes);
-          return res.reshape(newShape);
-        }
-        return res;
-      }
-      /**
-       * Computes the logical or of elements across dimensions of a `tf.Tensor`.
-       *
-       * Reduces the input along the dimensions given in `axes`. Unless `keepDims`
-       * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in
-       * `axes`. If `keepDims` is true, the reduced dimensions are retained with
-       * length 1. If `axes` has no entries, all dimensions are reduced, and an
-       * `tf.Tensor` with a single element is returned.
-       *
-       * ```js
-       * const x = tf.tensor1d([1, 1, 1], 'bool');
-       *
-       * x.any().print();  // or tf.any(x)
-       * ```
-       *
-       * ```js
-       * const x = tf.tensor2d([1, 1, 0, 0], [2, 2], 'bool');
-       *
-       * const axis = 1;
-       * x.any(axis).print();  // or tf.any(x, axis)
-       * ```
-       *
-       * @param x The input tensor. Must be of dtype bool.
-       * @param axis The dimension(s) to reduce. By default it reduces
-       *     all dimensions.
-       * @param keepDims If true, retains reduced dimensions with size 1.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Reduction'} */
-      function any_(x, axis = null, keepDims = false) {
-        let $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "any", "bool");
-        const origAxes = util["parseAxisParam"](axis, $x.shape);
-        let axes = origAxes;
-        const permutedAxes = getAxesPermutation(axes, $x.rank);
-        if (permutedAxes != null) {
-          $x = $x.transpose(permutedAxes);
-          axes = getInnerMostAxes(axes.length, $x.rank);
-        }
-        const res = engine["a" /* ENGINE */].runKernelFunc((backend) => backend.any($x, axes), {
-          $x,
-        });
-        if (keepDims) {
-          const newShape = expandShapeToKeepDim(res.shape, origAxes);
-          return res.reshape(newShape);
-        }
-        return res;
-      }
-      /**
-       * Calculates the mean and variance of `x`. The mean and variance are
-       * calculated by aggregating the contents of `x` across `axes`. If `x` is
-       * 1-D and `axes = [0]` this is just the mean and variance of a vector.
-       *
-       * @param x The input tensor.
-       * @param axis The dimension(s) along with to compute mean and
-       *     variance. By default it reduces all dimensions.
-       * @param keepDims If true, the moments have the same dimensionality as the
-       *     input.
-       * @return An object with two keys: `mean` and `variance`.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Normalization'} */
-      function moments_(x, axis = null, keepDims = false) {
-        x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "moments");
-        const axes = util["parseAxisParam"](axis, x.shape);
-        const mean = x.mean(axes, keepDims);
-        let keepDimsShape = mean.shape;
-        if (!keepDims) {
-          keepDimsShape = expandShapeToKeepDim(mean.shape, axes);
-        }
-        const devSquared = x.toFloat().sub(mean.reshape(keepDimsShape)).square();
-        const variance = devSquared.mean(axes, keepDims);
-        return { mean, variance };
-      }
-      const reduction_ops_all = Object(operation["a" /* op */])({ all_ });
-      // tslint:disable-next-line:variable-name
-      const any = Object(operation["a" /* op */])({ any_ });
-      const argMax = Object(operation["a" /* op */])({ argMax_ });
-      const argMin = Object(operation["a" /* op */])({ argMin_ });
-      const logSumExp = Object(operation["a" /* op */])({ logSumExp_ });
-      const reduction_ops_mean = Object(operation["a" /* op */])({ mean_ });
-      const reduction_ops_min = Object(operation["a" /* op */])({ min_ });
-      const moments = Object(operation["a" /* op */])({ moments_ });
-      const sum = Object(operation["a" /* op */])({ sum_ });
-      const reduction_ops_prod = Object(operation["a" /* op */])({ prod_ });
-      //# sourceMappingURL=reduction_ops.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/square.js
-      /**
-       * @license
-       * Copyright 2019 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Computes square of `x` element-wise: `x ^ 2`
-       *
-       * ```js
-       * const x = tf.tensor1d([1, 2, Math.sqrt(2), -1]);
-       *
-       * x.square().print();  // or tf.square(x)
-       * ```
-       * @param x The input Tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function square_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "square");
-        const attrs = {};
-        const inputsToSave = [$x];
-        const outputsToSave = [];
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            save([$x]);
-            return backend.square($x);
-          },
-          { x: $x },
-          null /* grad */,
-          "Square",
-          attrs,
-          inputsToSave,
-          outputsToSave
-        );
-      }
-      const square = Object(operation["a" /* op */])({ square_ });
-      //# sourceMappingURL=square.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/unary_ops.js
-      /**
-       * @license
-       * Copyright 2018 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Computes `-1 * x` element-wise.
-       *
-       * ```js
-       * const x = tf.tensor2d([1, 2, -2, 0], [2, 2]);
-       *
-       * x.neg().print();  // or tf.neg(x)
-       * ```
-       *
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function neg_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "neg");
-        const grad = (dy) => {
-          return { x: () => dy.neg() };
-        };
-        const attrs = {};
-        const inputsToSave = [$x];
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend) => backend.neg($x),
-          { x: $x },
-          grad,
-          "Neg",
-          attrs,
-          inputsToSave
-        );
-      }
-      /**
-       * Computes ceiling of input `tf.Tensor` element-wise: `ceil(x)`
-       *
-       * ```js
-       * const x = tf.tensor1d([.6, 1.1, -3.3]);
-       *
-       * x.ceil().print();  // or tf.ceil(x)
-       * ```
-       * @param x The input Tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function ceil_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "ceil");
-        // TODO(manrajgrover): Return null for gradients when backprop supports it.
-        const grad = (dy) => {
-          return { $x: () => Object(tensor_ops["o" /* zerosLike */])(dy) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc((backend) => backend.ceil($x), { $x }, grad);
-      }
-      /**
-       * Computes floor of input `tf.Tensor` element-wise: `floor(x)`.
-       *
-       * ```js
-       * const x = tf.tensor1d([.6, 1.1, -3.3]);
-       *
-       * x.floor().print();  // or tf.floor(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function floor_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "floor");
-        // TODO(nsthorat): Let gradients be null for cases where we want to stop
-        // backpropgation.
-        const grad = (dy) => {
-          return { $x: () => Object(tensor_ops["o" /* zerosLike */])(dy) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc((backend) => backend.floor($x), { $x }, grad);
-      }
-      /**
-       * Returns an element-wise indication of the sign of a number.
-       *
-       * ```js
-       * const x = tf.tensor1d([.6, 1.1, -3.3, NaN, 0]);
-       *
-       * x.sign().print();  // or tf.sign(x)
-       * ```
-       * @param x The input Tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function sign_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "sign");
-        const grad = (dy) => {
-          return { $x: () => Object(tensor_ops["o" /* zerosLike */])(dy) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc((backend) => backend.sign($x), { $x }, grad);
-      }
-      /**
-       * RReturns which elements of x are NaN.
-       *
-       * ```js
-       * const x = tf.tensor1d([NaN, Infinity, -Infinity, 0, 1]);
-       *
-       * x.isNaN().print();  // or tf.isNaN(x)
-       * ```
-       * @param x The input Tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function isNaN_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "isNaN");
-        // TODO(nsthorat): Let gradients be null for cases where we want to stop
-        // backpropgation.
-        const grad = (dy) => {
-          return { $x: () => Object(tensor_ops["o" /* zerosLike */])(dy) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc((backend) => backend.isNaN($x), { $x }, grad);
-      }
-      /**
-       * Returns which elements of x are Infinity or -Infinity.
-       *
-       * ```js
-       * const x = tf.tensor1d([NaN, Infinity, -Infinity, 0, 1]);
-       *
-       * x.isInf().print();  // or tf.isNaN(x)
-       * ```
-       * @param x The input Tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function isInf_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "isInf");
-        // TODO(nsthorat): Let gradients be null for cases where we want to stop
-        // backpropgation.
-        const grad = (dy) => {
-          return { $x: () => Object(tensor_ops["o" /* zerosLike */])(dy) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc((backend) => backend.isInf($x), { $x }, grad);
-      }
-      /**
-       * Returns which elements of x are finite.
-       *
-       * ```js
-       * const x = tf.tensor1d([NaN, Infinity, -Infinity, 0, 1]);
-       *
-       * x.isFinite().print();  // or tf.isNaN(x)
-       * ```
-       * @param x The input Tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function isFinite_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "isFinite");
-        // TODO(nsthorat): Let gradients be null for cases where we want to stop
-        // backpropgation.
-        const grad = (dy) => {
-          return { $x: () => Object(tensor_ops["o" /* zerosLike */])(dy) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend) => backend.isFinite($x),
-          { $x },
-          grad
-        );
-      }
-      /**
-       * Computes round of input `tf.Tensor` element-wise: `round(x)`.
-       * It implements banker's rounding.
-       *
-       * ```js
-       * const x = tf.tensor1d([.6, 1.1, -3.3]);
-       *
-       * x.round().print();  // or tf.round(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function round_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "round");
-        // TODO(nsthorat): Let gradients be null for cases where we want to stop
-        // backpropgation.
-        const grad = (dy) => {
-          return { $x: () => Object(tensor_ops["o" /* zerosLike */])(dy) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc((backend) => backend.round($x), { $x }, grad);
-      }
-      /**
-       * Computes exponential of the input `tf.Tensor` element-wise. `e ^ x`
-       *
-       * ```js
-       * const x = tf.tensor1d([1, 2, -3]);
-       *
-       * x.exp().print();  // or tf.exp(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function exp_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "exp");
-        const bck = (dy, saved) => {
-          // tslint:disable-next-line: no-unnecessary-type-assertion
-          return { x: () => dy.mul(saved[0]) };
-        };
-        const attrs = {};
-        const inputsToSave = [];
-        const outputsToSave = [true];
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const y = backend.exp($x);
-            save([y]);
-            return y;
-          },
-          { x: $x },
-          bck,
-          "Exp",
-          attrs,
-          inputsToSave,
-          outputsToSave
-        );
-      }
-      /**
-       * Computes exponential of the input `tf.Tensor` minus one element-wise.
-       * `e ^ x - 1`
-       *
-       * ```js
-       * const x = tf.tensor1d([1, 2, -3]);
-       *
-       * x.expm1().print();  // or tf.expm1(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function expm1_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "expm1");
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return { $x: () => dy.mul($x.exp()) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.expm1($x);
-            save([$x]);
-            return res;
-          },
-          { $x },
-          grad
-        );
-      }
-      /**
-       * Computes natural logarithm of the input `tf.Tensor` element-wise: `ln(x)`
-       *
-       * ```js
-       * const x = tf.tensor1d([1, 2, Math.E]);
-       *
-       * x.log().print();  // or tf.log(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function log_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "log");
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return { x: () => dy.div($x.toFloat()) };
-        };
-        const attrs = {};
-        const inputsToSave = [$x];
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.log($x);
-            save([$x]);
-            return res;
-          },
-          { x: $x },
-          grad,
-          "Log",
-          attrs,
-          inputsToSave
-        );
-      }
-      /**
-       * Computes natural logarithm of the input `tf.Tensor` plus one
-       * element-wise: `ln(1 + x)`
-       *
-       * ```js
-       * const x = tf.tensor1d([1, 2, Math.E - 1]);
-       *
-       * x.log1p().print();  // or tf.log1p(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function log1p_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "log1p");
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return { $x: () => dy.div($x.add(1)) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.log1p($x);
-            save([$x]);
-            return res;
-          },
-          { $x },
-          grad
-        );
-      }
-      /**
-       * Computes square root of the input `tf.Tensor` element-wise: `y = sqrt(x)`
-       *
-       * ```js
-       * const x = tf.tensor1d([1, 2, 4, -1]);
-       *
-       * x.sqrt().print();  // or tf.sqrt(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function sqrt_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "sqrt");
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return { x: () => dy.div($x.toFloat().sqrt().mul(2)) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.sqrt($x);
-            save([$x]);
-            return res;
-          },
-          { x: $x },
-          grad,
-          "Sqrt",
-          {}
-        );
-      }
-      /**
-       * Computes reciprocal of square root of the input `tf.Tensor` element-wise:
-       * `y = 1 / sqrt(x)`
-       *
-       * ```js
-       * const x = tf.tensor1d([1, 2, 4, -1]);
-       *
-       * x.rsqrt().print();  // or tf.rsqrt(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function rsqrt_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "rsqrt");
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return { x: () => dy.div($x.pow(1.5).mul(2)).neg() };
-        };
-        const inputsToSave = [$x];
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.rsqrt($x);
-            save([$x]);
-            return res;
-          },
-          { x: $x },
-          grad,
-          "Rsqrt",
-          {} /* attrs */,
-          inputsToSave
-        );
-      }
-      /**
-       * Computes reciprocal of x element-wise: `1 / x`
-       *
-       * ```js
-       * const x = tf.tensor1d([0, 1, 2]);
-       *
-       * x.reciprocal().print();  // or tf.reciprocal(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function reciprocal_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "reciprocal");
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return { $x: () => dy.div($x.square().neg()) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.reciprocal($x);
-            save([$x]);
-            return res;
-          },
-          { $x },
-          grad
-        );
-      }
-      /**
-       * Computes absolute value element-wise: `abs(x)`
-       *
-       * ```js
-       * const x = tf.tensor1d([-1, 2, -3, 4]);
-       *
-       * x.abs().print();  // or tf.abs(x)
-       * ```
-       * @param x The input `tf.Tensor`.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function abs_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "abs");
-        if ($x.dtype === "complex64") {
-          return engine["a" /* ENGINE */].runKernelFunc((backend) => backend.complexAbs($x), {
-            $x,
-          });
-        }
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return { x: () => dy.mul($x.toFloat().step(-1)) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.abs($x);
-            save([$x]);
-            return res;
-          },
-          { x: $x },
-          grad,
-          "Abs"
-        );
-      }
-      /**
-       * Clips values element-wise. `max(min(x, clipValueMax), clipValueMin)`
-       *
-       * ```js
-       * const x = tf.tensor1d([-1, 2, -3, 4]);
-       *
-       * x.clipByValue(-2, 3).print();  // or tf.clipByValue(x, -2, 3)
-       * ```
-       * @param x The input tensor.
-       * @param clipValueMin Lower-bound of range to be clipped to.
-       * @param clipValueMax Upper-bound of range to be clipped to.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function clipByValue_(x, clipValueMin, clipValueMax) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "clipByValue");
-        util["assert"](
-          clipValueMin <= clipValueMax,
-          () =>
-            `Error in clip: min (${clipValueMin}) must be ` +
-            `less than or equal to max (${clipValueMax}).`
-        );
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return {
-            x: () =>
-              dy.where(
-                $x.greaterEqual(clipValueMin).logicalAnd($x.lessEqual(clipValueMax)),
-                Object(tensor_ops["o" /* zerosLike */])(dy)
-              ),
-          };
-        };
-        const inputsToSave = [$x];
-        const attr = { min: clipValueMin, max: clipValueMax };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.clip($x, clipValueMin, clipValueMax);
-            save([$x]);
-            return res;
-          },
-          { x: $x },
-          grad,
-          "ClipByValue",
-          attr,
-          inputsToSave
-        );
-      }
-      /**
-       * Computes sigmoid element-wise, `1 / (1 + exp(-x))`
-       *
-       * ```js
-       * const x = tf.tensor1d([0, -1, 2, -3]);
-       *
-       * x.sigmoid().print();  // or tf.sigmoid(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function sigmoid_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "sigmoid");
-        const grad = (dy, saved) => {
-          const [y] = saved;
-          return { x: () => dy.mul(y.mul(Object(tensor_ops["e" /* scalar */])(1).sub(y))) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const y = backend.sigmoid($x);
-            save([y]);
-            return y;
-          },
-          { x: $x },
-          grad,
-          "Sigmoid"
-        );
-      }
-      /**
-       * Computes log sigmoid of the input `tf.Tensor` element-wise:
-       * `logSigmoid(x)`. For numerical stability, we use `-tf.softplus(-x)`.
-       *
-       * ```js
-       * const x = tf.tensor1d([0, 1, -1, .7]);
-       *
-       * x.logSigmoid().print();  // or tf.logSigmoid(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function logSigmoid_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "logSigmoid");
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return { $x: () => dy.mul($x.neg().sigmoid()) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.softplus($x.neg()).neg();
-            save([$x]);
-            return res;
-          },
-          { $x },
-          grad
-        );
-      }
-      /**
-       * Computes softplus of the input `tf.Tensor` element-wise: `log(exp(x) + 1)`
-       *
-       * ```js
-       * const x = tf.tensor1d([0, 1, -1, .7]);
-       *
-       * x.softplus().print();  // or tf.softplus(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function softplus_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "softplus");
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return { $x: () => dy.mul($x.sigmoid()) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.softplus($x);
-            save([$x]);
-            return res;
-          },
-          { $x },
-          grad
-        );
-      }
-      /**
-       * Computes sin of the input Tensor element-wise: `sin(x)`
-       *
-       * ```js
-       * const x = tf.tensor1d([0, Math.PI / 2, Math.PI * 3 / 4]);
-       *
-       * x.sin().print();  // or tf.sin(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function sin_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "sin");
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return { x: () => $x.toFloat().cos().mul(dy) };
-        };
-        const inputsToSave = [$x];
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.sin($x);
-            save([$x]);
-            return res;
-          },
-          { x: $x },
-          grad,
-          "Sin",
-          {} /* attrs */,
-          inputsToSave
-        );
-      }
-      /**
-       * Computes cos of the input `tf.Tensor` element-wise: `cos(x)`
-       *
-       * ```js
-       * const x = tf.tensor1d([0, Math.PI / 2, Math.PI * 3 / 4]);
-       *
-       * x.cos().print();  // or tf.cos(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function cos_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "cos");
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return { x: () => $x.toFloat().sin().neg().mul(dy) };
-        };
-        const inputsToSave = [$x];
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.cos($x);
-            save([$x]);
-            return res;
-          },
-          { x: $x },
-          grad,
-          "Cos",
-          {} /* attrs */,
-          inputsToSave
-        );
-      }
-      /**
-       * Computes tan of the input `tf.Tensor` element-wise, `tan(x)`
-       *
-       * ```js
-       * const x = tf.tensor1d([0, Math.PI / 2, Math.PI * 3 / 4]);
-       *
-       * x.tan().print();  // or tf.tan(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function tan_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "tan");
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return { $x: () => dy.div($x.cos().square()) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.tan($x);
-            save([$x]);
-            return res;
-          },
-          { $x },
-          grad
-        );
-      }
-      /**
-       * Computes asin of the input `tf.Tensor` element-wise: `asin(x)`
-       *
-       * ```js
-       * const x = tf.tensor1d([0, 1, -1, .7]);
-       *
-       * x.asin().print();  // or tf.asin(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function asin_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "asin");
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return {
-            // tslint:disable-next-line: no-unnecessary-type-assertion
-            $x: () =>
-              dy.div(Object(tensor_ops["e" /* scalar */])(1).sub($x.toFloat().square()).sqrt()),
-          };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.asin($x);
-            save([$x]);
-            return res;
-          },
-          { $x },
-          grad
-        );
-      }
-      /**
-       * Computes acos of the input `tf.Tensor` element-wise: `acos(x)`
-       *
-       * ```js
-       * const x = tf.tensor1d([0, 1, -1, .7]);
-       *
-       * x.acos().print();  // or tf.acos(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function acos_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "acos");
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return {
-            $x: () => {
-              const a = $x.toFloat().square();
-              const b = Object(tensor_ops["e" /* scalar */])(1).sub(a).sqrt();
-              // tslint:disable-next-line: no-unnecessary-type-assertion
-              return dy.div(b).neg();
-            },
-          };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.acos($x);
-            save([$x]);
-            return res;
-          },
-          { $x },
-          grad
-        );
-      }
-      /**
-       * Computes atan of the input `tf.Tensor` element-wise: `atan(x)`
-       *
-       * ```js
-       * const x = tf.tensor1d([0, 1, -1, .7]);
-       *
-       * x.atan().print();  // or tf.atan(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function atan_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "atan");
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return { $x: () => dy.div($x.toFloat().square().add(1)) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.atan($x);
-            save([$x]);
-            return res;
-          },
-          { $x },
-          grad
-        );
-      }
-      /**
-       * Computes hyperbolic sin of the input `tf.Tensor` element-wise: `sinh(x)`
-       *
-       * ```js
-       * const x = tf.tensor1d([0, 1, -1, .7]);
-       *
-       * x.sinh().print();  // or tf.sinh(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function sinh_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "sinh");
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          // tslint:disable-next-line: no-unnecessary-type-assertion
-          return { $x: () => $x.toFloat().cosh().mul(dy) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.sinh($x);
-            save([$x]);
-            return res;
-          },
-          { $x },
-          grad
-        );
-      }
-      /**
-       * Computes hyperbolic cos of the input `tf.Tensor` element-wise: `cosh(x)`
-       *
-       * ```js
-       * const x = tf.tensor1d([0, 1, -1, .7]);
-       *
-       * x.cosh().print();  // or tf.cosh(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function cosh_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "cosh");
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          // tslint:disable-next-line: no-unnecessary-type-assertion
-          return { $x: () => $x.toFloat().sinh().mul(dy) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.cosh($x);
-            save([$x]);
-            return res;
-          },
-          { $x },
-          grad
-        );
-      }
-      /**
-       * Computes hyperbolic tangent of the input `tf.Tensor` element-wise: `tanh(x)`
-       *
-       * ```js
-       * const x = tf.tensor1d([0, 1, -1, 70]);
-       *
-       * x.tanh().print();  // or tf.tanh(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function tanh_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "tanh");
-        const grad = (dy, saved) => {
-          const [y] = saved;
-          // tslint:disable-next-line: no-unnecessary-type-assertion
-          return { x: () => Object(tensor_ops["e" /* scalar */])(1).sub(y.square()).mul(dy) };
-        };
-        const outputsToSave = [true];
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const y = backend.tanh($x);
-            save([y]);
-            return y;
-          },
-          { x: $x },
-          grad,
-          "Tanh",
-          {} /* attrs */,
-          null /* inputsToSave */,
-          outputsToSave
-        );
-      }
-      /**
-       * Computes inverse hyperbolic sin of the input `tf.Tensor` element-wise:
-       * `asinh(x)`
-       *
-       * ```js
-       * const x = tf.tensor1d([0, 1, -1, .7]);
-       *
-       * x.asinh().print();  // or tf.asinh(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function asinh_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "asinh");
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return {
-            $x: () => {
-              const a = Object(tensor_ops["e" /* scalar */])(1).add($x.toFloat().square()).sqrt();
-              // tslint:disable-next-line: no-unnecessary-type-assertion
-              return dy.div(a);
-            },
-          };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.asinh($x);
-            save([$x]);
-            return res;
-          },
-          { $x },
-          grad
-        );
-      }
-      /**
-       * Computes the inverse hyperbolic cos of the input `tf.Tensor` element-wise:
-       * `acosh(x)`
-       *
-       * ```js
-       * const x = tf.tensor1d([10, 1, 3, 5.7]);
-       *
-       * x.acosh().print();  // or tf.acosh(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function acosh_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "acosh");
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return {
-            $x: () => {
-              const a = $x.toFloat().square().sub(1).sqrt();
-              // tslint:disable-next-line: no-unnecessary-type-assertion
-              return dy.div(a);
-            },
-          };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.acosh($x);
-            save([$x]);
-            return res;
-          },
-          { $x },
-          grad
-        );
-      }
-      /**
-       * Computes inverse hyperbolic tan of the input `tf.Tensor` element-wise:
-       * `atanh(x)`
-       *
-       * ```js
-       * const x = tf.tensor1d([0, .1, -.1, .7]);
-       *
-       * x.atanh().print();  // or tf.atanh(x)
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function atanh_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "atanh");
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return {
-            $x: () => dy.div(Object(tensor_ops["e" /* scalar */])(1).sub($x.toFloat().square())),
-          };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.atanh($x);
-            save([$x]);
-            return res;
-          },
-          { $x },
-          grad
-        );
-      }
-      /**
-       * Computes gause error function of the input `tf.Tensor` element-wise:
-       * `erf(x)`
-       *
-       * ```js
-       * const x = tf.tensor1d([0, .1, -.1, .7]);
-       *
-       * x.erf().print(); // or tf.erf(x);
-       * ```
-       * @param x The input tensor.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function erf_(x) {
-        let $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "erf");
-        util["assert"](
-          $x.dtype === "int32" || $x.dtype === "float32",
-          () => "Input dtype must be `int32` or `float32`."
-        );
-        if ($x.dtype === "int32") {
-          $x = $x.toFloat();
-        }
-        const grad = (dy, saved) => {
-          const [$x] = saved;
-          return {
-            $x: () =>
-              dy.mul(
-                $x
-                  .square()
-                  .neg()
-                  .exp()
-                  .mul(2 / Math.sqrt(Math.PI))
-              ),
-          };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.erf($x);
-            save([$x]);
-            return res;
-          },
-          { $x },
-          grad
-        );
-      }
-      /**
-       * Computes step of the input `tf.Tensor` element-wise: `x > 0 ? 1 : alpha * x`
-       *
-       * ```js
-       * const x = tf.tensor1d([0, 2, -1, -3]);
-       *
-       * x.step(.5).print();  // or tf.step(x, .5)
-       * ```
-       * @param x The input tensor.
-       * @param alpha The gradient when input is negative.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Basic math'} */
-      function step_(x, alpha = 0.0) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "step");
-        // TODO(manrajgrover): Return null for gradients when backprop supports
-        // it.
-        const grad = (dy) => {
-          return { $x: () => Object(tensor_ops["o" /* zerosLike */])(dy) };
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend) => backend.step($x, alpha),
-          { $x },
-          grad
-        );
-      }
-      const abs = Object(operation["a" /* op */])({ abs_ });
-      const acos = Object(operation["a" /* op */])({ acos_ });
-      const acosh = Object(operation["a" /* op */])({ acosh_ });
-      const asin = Object(operation["a" /* op */])({ asin_ });
-      const asinh = Object(operation["a" /* op */])({ asinh_ });
-      const atan = Object(operation["a" /* op */])({ atan_ });
-      const atanh = Object(operation["a" /* op */])({ atanh_ });
-      const ceil = Object(operation["a" /* op */])({ ceil_ });
-      const clipByValue = Object(operation["a" /* op */])({ clipByValue_ });
-      const cos = Object(operation["a" /* op */])({ cos_ });
-      const cosh = Object(operation["a" /* op */])({ cosh_ });
-      const erf = Object(operation["a" /* op */])({ erf_ });
-      const unary_ops_exp = Object(operation["a" /* op */])({ exp_ });
-      const expm1 = Object(operation["a" /* op */])({ expm1_ });
-      const floor = Object(operation["a" /* op */])({ floor_ });
-      const log = Object(operation["a" /* op */])({ log_ });
-      const log1p = Object(operation["a" /* op */])({ log1p_ });
-      const logSigmoid = Object(operation["a" /* op */])({ logSigmoid_ });
-      const neg = Object(operation["a" /* op */])({ neg_ });
-      const reciprocal = Object(operation["a" /* op */])({ reciprocal_ });
-      const round = Object(operation["a" /* op */])({ round_ });
-      const rsqrt = Object(operation["a" /* op */])({ rsqrt_ });
-      const sigmoid = Object(operation["a" /* op */])({ sigmoid_ });
-      const sign = Object(operation["a" /* op */])({ sign_ });
-      const unary_ops_isNaN = Object(operation["a" /* op */])({ isNaN_ });
-      const isInf = Object(operation["a" /* op */])({ isInf_ });
-      const unary_ops_isFinite = Object(operation["a" /* op */])({ isFinite_ });
-      const sin = Object(operation["a" /* op */])({ sin_ });
-      const sinh = Object(operation["a" /* op */])({ sinh_ });
-      const softplus = Object(operation["a" /* op */])({ softplus_ });
-      const sqrt = Object(operation["a" /* op */])({ sqrt_ });
-      const unary_ops_step = Object(operation["a" /* op */])({ step_ });
-      const tan = Object(operation["a" /* op */])({ tan_ });
-      const tanh = Object(operation["a" /* op */])({ tanh_ });
-      //# sourceMappingURL=unary_ops.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Atan2_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const atan2GradConfig = {
-        kernelName: kernel_names["c" /* Atan2 */],
-        inputsToSave: ["a", "b"],
-        gradFunc: (dy, saved) => {
-          const [a, b] = saved;
-          const outShape = assertAndGetBroadcastShape(a.shape, b.shape);
-          const derA = () => {
-            const d = add(square(a), square(b));
-            let res = mul(dy, div(b, d));
-            const reduceAxes = getReductionAxes(a.shape, outShape);
-            if (reduceAxes.length > 0) {
-              res = sum(res, reduceAxes);
-            }
-            return reshape(res, a.shape);
-          };
-          const derB = () => {
-            const d = add(square(a), square(b));
-            let res = neg(mul(dy, div(a, d)));
-            const reduceAxes = getReductionAxes(b.shape, outShape);
-            if (reduceAxes.length > 0) {
-              res = sum(res, reduceAxes);
-            }
-            return reshape(res, b.shape);
-          };
-          return { a: derA, b: derB };
-        },
-      };
-      //# sourceMappingURL=Atan2_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/conv_util.js
-      /**
-       * @license
-       * Copyright 2017 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      function computePool2DInfo(
-        inShape,
-        filterSize,
-        strides,
-        dilations,
-        pad,
-        roundingMode,
-        dataFormat = "channelsLast"
-      ) {
-        const [filterHeight, filterWidth] = parseTupleParam(filterSize);
-        let filterShape;
-        if (dataFormat === "channelsLast") {
-          filterShape = [filterHeight, filterWidth, inShape[3], inShape[3]];
-        } else if (dataFormat === "channelsFirst") {
-          filterShape = [filterHeight, filterWidth, inShape[1], inShape[1]];
-        } else {
-          throw new Error(`Unknown dataFormat ${dataFormat}`);
-        }
-        return computeConv2DInfo(
-          inShape,
-          filterShape,
-          strides,
-          dilations,
-          pad,
-          roundingMode,
-          false,
-          dataFormat
-        );
-      }
-      /**
-       * Computes the information for a forward pass of a pooling3D operation.
-       */
-      function computePool3DInfo(
-        inShape,
-        filterSize,
-        strides,
-        dilations,
-        pad,
-        roundingMode,
-        dataFormat = "NDHWC"
-      ) {
-        const [filterDepth, filterHeight, filterWidth] = parse3TupleParam(filterSize);
-        let filterShape;
-        let $dataFormat;
-        if (dataFormat === "NDHWC") {
-          $dataFormat = "channelsLast";
-          filterShape = [filterDepth, filterHeight, filterWidth, inShape[4], inShape[4]];
-        } else if (dataFormat === "NCDHW") {
-          $dataFormat = "channelsFirst";
-          filterShape = [filterDepth, filterHeight, filterWidth, inShape[1], inShape[1]];
-        } else {
-          throw new Error(`Unknown dataFormat ${dataFormat}`);
-        }
-        return computeConv3DInfo(
-          inShape,
-          filterShape,
-          strides,
-          dilations,
-          pad,
-          false,
-          $dataFormat,
-          roundingMode
-        );
-      }
-      /**
-       * Computes the information for a forward pass of a convolution/pooling
-       * operation.
-       */
-      function computeConv2DInfo(
-        inShape,
-        filterShape,
-        strides,
-        dilations,
-        pad,
-        roundingMode,
-        depthwise = false,
-        dataFormat = "channelsLast"
-      ) {
-        let [batchSize, inHeight, inWidth, inChannels] = [-1, -1, -1, -1];
-        if (dataFormat === "channelsLast") {
-          [batchSize, inHeight, inWidth, inChannels] = inShape;
-        } else if (dataFormat === "channelsFirst") {
-          [batchSize, inChannels, inHeight, inWidth] = inShape;
-        } else {
-          throw new Error(`Unknown dataFormat ${dataFormat}`);
-        }
-        const [filterHeight, filterWidth, , filterChannels] = filterShape;
-        const [strideHeight, strideWidth] = parseTupleParam(strides);
-        const [dilationHeight, dilationWidth] = parseTupleParam(dilations);
-        const effectiveFilterHeight = getEffectiveFilterSize(filterHeight, dilationHeight);
-        const effectiveFilterWidth = getEffectiveFilterSize(filterWidth, dilationWidth);
-        const { padInfo, outHeight, outWidth } = getPadAndOutInfo(
-          pad,
-          inHeight,
-          inWidth,
-          strideHeight,
-          strideWidth,
-          effectiveFilterHeight,
-          effectiveFilterWidth,
-          roundingMode,
-          dataFormat
-        );
-        const outChannels = depthwise ? filterChannels * inChannels : filterChannels;
-        let outShape;
-        if (dataFormat === "channelsFirst") {
-          outShape = [batchSize, outChannels, outHeight, outWidth];
-        } else if (dataFormat === "channelsLast") {
-          outShape = [batchSize, outHeight, outWidth, outChannels];
-        }
-        return {
-          batchSize,
-          dataFormat,
-          inHeight,
-          inWidth,
-          inChannels,
-          outHeight,
-          outWidth,
-          outChannels,
-          padInfo,
-          strideHeight,
-          strideWidth,
-          filterHeight,
-          filterWidth,
-          effectiveFilterHeight,
-          effectiveFilterWidth,
-          dilationHeight,
-          dilationWidth,
-          inShape,
-          outShape,
-          filterShape,
-        };
-      }
-      /**
-       * Computes the information for a forward pass of a 3D convolution/pooling
-       * operation.
-       */
-      function computeConv3DInfo(
-        inShape,
-        filterShape,
-        strides,
-        dilations,
-        pad,
-        depthwise = false,
-        dataFormat = "channelsLast",
-        roundingMode
-      ) {
-        let [batchSize, inDepth, inHeight, inWidth, inChannels] = [-1, -1, -1, -1, -1];
-        if (dataFormat === "channelsLast") {
-          [batchSize, inDepth, inHeight, inWidth, inChannels] = inShape;
-        } else if (dataFormat === "channelsFirst") {
-          [batchSize, inChannels, inDepth, inHeight, inWidth] = inShape;
-        } else {
-          throw new Error(`Unknown dataFormat ${dataFormat}`);
-        }
-        const [filterDepth, filterHeight, filterWidth, , filterChannels] = filterShape;
-        const [strideDepth, strideHeight, strideWidth] = parse3TupleParam(strides);
-        const [dilationDepth, dilationHeight, dilationWidth] = parse3TupleParam(dilations);
-        const effectiveFilterDepth = getEffectiveFilterSize(filterDepth, dilationDepth);
-        const effectiveFilterHeight = getEffectiveFilterSize(filterHeight, dilationHeight);
-        const effectiveFilterWidth = getEffectiveFilterSize(filterWidth, dilationWidth);
-        const { padInfo, outDepth, outHeight, outWidth } = get3DPadAndOutInfo(
-          pad,
-          inDepth,
-          inHeight,
-          inWidth,
-          strideDepth,
-          strideHeight,
-          strideWidth,
-          effectiveFilterDepth,
-          effectiveFilterHeight,
-          effectiveFilterWidth,
-          roundingMode
-        );
-        const outChannels = depthwise ? filterChannels * inChannels : filterChannels;
-        let outShape;
-        if (dataFormat === "channelsFirst") {
-          outShape = [batchSize, outChannels, outDepth, outHeight, outWidth];
-        } else if (dataFormat === "channelsLast") {
-          outShape = [batchSize, outDepth, outHeight, outWidth, outChannels];
-        }
-        return {
-          batchSize,
-          dataFormat,
-          inDepth,
-          inHeight,
-          inWidth,
-          inChannels,
-          outDepth,
-          outHeight,
-          outWidth,
-          outChannels,
-          padInfo,
-          strideDepth,
-          strideHeight,
-          strideWidth,
-          filterDepth,
-          filterHeight,
-          filterWidth,
-          effectiveFilterDepth,
-          effectiveFilterHeight,
-          effectiveFilterWidth,
-          dilationDepth,
-          dilationHeight,
-          dilationWidth,
-          inShape,
-          outShape,
-          filterShape,
-        };
-      }
-      function computeOutputShape2D(inShape, fieldSize, stride, zeroPad, roundingMode) {
-        if (zeroPad == null) {
-          zeroPad = computeDefaultPad(inShape, fieldSize, stride);
-        }
-        const inputRows = inShape[0];
-        const inputCols = inShape[1];
-        const outputRows = conditionalRound(
-          (inputRows - fieldSize + 2 * zeroPad) / stride + 1,
-          roundingMode
-        );
-        util["assert"](
-          util["isInt"](outputRows),
-          () =>
-            `The output # of rows (${outputRows}) must be an integer. ` +
-            `Change the stride and/or zero pad parameters`
-        );
-        const outputCols = conditionalRound(
-          (inputCols - fieldSize + 2 * zeroPad) / stride + 1,
-          roundingMode
-        );
-        util["assert"](
-          util["isInt"](outputCols),
-          () =>
-            `The output # of columns (${outputCols}) must be an integer. ` +
-            `Change the stride and/or zero pad parameters`
-        );
-        return [outputRows, outputCols];
-      }
-      function computeOutputShape4D(
-        inShape,
-        fieldSize,
-        outChannels,
-        stride,
-        zeroPad,
-        roundingMode
-      ) {
-        if (zeroPad == null) {
-          zeroPad = computeDefaultPad(inShape, fieldSize, stride);
-        }
-        const inputDepth = inShape[0];
-        const inputRows = inShape[1];
-        const inputCols = inShape[2];
-        const outputDepths = conditionalRound(
-          (inputDepth - fieldSize + 2 * zeroPad) / stride + 1,
-          roundingMode
-        );
-        util["assert"](
-          util["isInt"](outputDepths),
-          () =>
-            `The output # of depths (${outputDepths}) must be an integer. ` +
-            `Change the stride and/or zero pad parameters`
-        );
-        const outputRows = conditionalRound(
-          (inputRows - fieldSize + 2 * zeroPad) / stride + 1,
-          roundingMode
-        );
-        util["assert"](
-          util["isInt"](outputRows),
-          () =>
-            `The output # of rows (${outputRows}) must be an integer. ` +
-            `Change the stride and/or zero pad parameters`
-        );
-        const outputCols = conditionalRound(
-          (inputCols - fieldSize + 2 * zeroPad) / stride + 1,
-          roundingMode
-        );
-        util["assert"](
-          util["isInt"](outputCols),
-          () =>
-            `The output # of columns (${outputCols}) must be an integer. ` +
-            `Change the stride and/or zero pad parameters`
-        );
-        return [outputDepths, outputRows, outputCols, outChannels];
-      }
-      function computeDefaultPad(inputShape, fieldSize, stride, dilation = 1) {
-        const effectiveFieldSize = getEffectiveFilterSize(fieldSize, dilation);
-        return Math.floor((inputShape[0] * (stride - 1) - stride + effectiveFieldSize) / 2);
-      }
-      function parseTupleParam(param) {
-        if (typeof param === "number") {
-          return [param, param, param];
-        }
-        if (param.length === 2) {
-          return [param[0], param[1], 1];
-        }
-        return param;
-      }
-      function parse3TupleParam(param) {
-        return typeof param === "number" ? [param, param, param] : param;
-      }
-      /* See https://www.tensorflow.org/api_docs/python/tf/nn/atrous_conv2d
-       * Atrous convolution is equivalent to standard convolution with upsampled
-       * filters with effective_filter_height =
-       * filter_height + (filter_height - 1) * (dilation - 1)
-       * and effective_filter_width =
-       * filter_width + (filter_width - 1) * (dilation - 1),
-       * produced by inserting dilation - 1 zeros along consecutive elements across
-       * the filters' spatial dimensions.
-       * When there is a dilation, this converts a filter dimension to the
-       * effective filter dimension, so it can be used in a standard convolution.
-       */
-      function getEffectiveFilterSize(filterSize, dilation) {
-        if (dilation <= 1) {
-          return filterSize;
-        }
-        return filterSize + (filterSize - 1) * (dilation - 1);
-      }
-      function getPadAndOutInfo(
-        pad,
-        inHeight,
-        inWidth,
-        strideHeight,
-        strideWidth,
-        filterHeight,
-        filterWidth,
-        roundingMode,
-        dataFormat
-      ) {
-        let padInfo;
-        let outHeight;
-        let outWidth;
-        if (typeof pad === "number") {
-          const padType = pad === 0 ? "VALID" : "NUMBER";
-          padInfo = { top: pad, bottom: pad, left: pad, right: pad, type: padType };
-          const outShape = computeOutputShape2D(
-            [inHeight, inWidth],
-            filterHeight,
-            strideHeight,
-            pad,
-            roundingMode
-          );
-          outHeight = outShape[0];
-          outWidth = outShape[1];
-        } else if (pad === "same") {
-          outHeight = Math.ceil(inHeight / strideHeight);
-          outWidth = Math.ceil(inWidth / strideWidth);
-          const padAlongHeight = Math.max(
-            0,
-            (outHeight - 1) * strideHeight + filterHeight - inHeight
-          );
-          const padAlongWidth = Math.max(0, (outWidth - 1) * strideWidth + filterWidth - inWidth);
-          const top = Math.floor(padAlongHeight / 2);
-          const bottom = padAlongHeight - top;
-          const left = Math.floor(padAlongWidth / 2);
-          const right = padAlongWidth - left;
-          padInfo = { top, bottom, left, right, type: "SAME" };
-        } else if (pad === "valid") {
-          padInfo = { top: 0, bottom: 0, left: 0, right: 0, type: "VALID" };
-          outHeight = Math.ceil((inHeight - filterHeight + 1) / strideHeight);
-          outWidth = Math.ceil((inWidth - filterWidth + 1) / strideWidth);
-        } else if (typeof pad === "object") {
-          const top = dataFormat === "channelsLast" ? pad[1][0] : pad[2][0];
-          const bottom = dataFormat === "channelsLast" ? pad[1][1] : pad[2][1];
-          const left = dataFormat === "channelsLast" ? pad[2][0] : pad[3][0];
-          const right = dataFormat === "channelsLast" ? pad[2][1] : pad[3][1];
-          const padType =
-            top === 0 && bottom === 0 && left === 0 && right === 0 ? "VALID" : "EXPLICIT";
-          padInfo = { top, bottom, left, right, type: padType };
-          outHeight = conditionalRound(
-            (inHeight - filterHeight + top + bottom) / strideHeight + 1,
-            roundingMode
-          );
-          outWidth = conditionalRound(
-            (inWidth - filterWidth + left + right) / strideWidth + 1,
-            roundingMode
-          );
-        } else {
-          throw Error(`Unknown padding parameter: ${pad}`);
-        }
-        return { padInfo, outHeight, outWidth };
-      }
-      function get3DPadAndOutInfo(
-        pad,
-        inDepth,
-        inHeight,
-        inWidth,
-        strideDepth,
-        strideHeight,
-        strideWidth,
-        filterDepth,
-        filterHeight,
-        filterWidth,
-        roundingMode
-      ) {
-        let padInfo;
-        let outDepth;
-        let outHeight;
-        let outWidth;
-        if (typeof pad === "number") {
-          const padType = pad === 0 ? "VALID" : "NUMBER";
-          padInfo = {
-            top: pad,
-            bottom: pad,
-            left: pad,
-            right: pad,
-            front: pad,
-            back: pad,
-            type: padType,
-          };
-          const outShape = computeOutputShape4D(
-            [inDepth, inHeight, inWidth, 1],
-            filterDepth,
-            1,
-            strideDepth,
-            pad,
-            roundingMode
-          );
-          outDepth = outShape[0];
-          outHeight = outShape[1];
-          outWidth = outShape[2];
-        } else if (pad === "same") {
-          outDepth = Math.ceil(inDepth / strideDepth);
-          outHeight = Math.ceil(inHeight / strideHeight);
-          outWidth = Math.ceil(inWidth / strideWidth);
-          const padAlongDepth = (outDepth - 1) * strideDepth + filterDepth - inDepth;
-          const padAlongHeight = (outHeight - 1) * strideHeight + filterHeight - inHeight;
-          const padAlongWidth = (outWidth - 1) * strideWidth + filterWidth - inWidth;
-          const front = Math.floor(padAlongDepth / 2);
-          const back = padAlongDepth - front;
-          const top = Math.floor(padAlongHeight / 2);
-          const bottom = padAlongHeight - top;
-          const left = Math.floor(padAlongWidth / 2);
-          const right = padAlongWidth - left;
-          padInfo = { top, bottom, left, right, front, back, type: "SAME" };
-        } else if (pad === "valid") {
-          padInfo = {
-            top: 0,
-            bottom: 0,
-            left: 0,
-            right: 0,
-            front: 0,
-            back: 0,
-            type: "VALID",
-          };
-          outDepth = Math.ceil((inDepth - filterDepth + 1) / strideDepth);
-          outHeight = Math.ceil((inHeight - filterHeight + 1) / strideHeight);
-          outWidth = Math.ceil((inWidth - filterWidth + 1) / strideWidth);
-        } else {
-          throw Error(`Unknown padding parameter: ${pad}`);
-        }
-        return { padInfo, outDepth, outHeight, outWidth };
-      }
-      /**
-       * Rounds a value depending on the rounding mode
-       * @param value
-       * @param roundingMode
-       */
-      function conditionalRound(value, roundingMode) {
-        if (!roundingMode) {
-          return value;
-        }
-        switch (roundingMode) {
-          case "round":
-            // used for Caffe Conv
-            return Math.round(value);
-          case "ceil":
-            // used for Caffe Pool
-            return Math.ceil(value);
-          case "floor":
-            return Math.floor(value);
-          default:
-            throw new Error(`Unknown roundingMode ${roundingMode}`);
-        }
-      }
-      function tupleValuesAreOne(param) {
-        const [dimA, dimB, dimC] = parseTupleParam(param);
-        return dimA === 1 && dimB === 1 && dimC === 1;
-      }
-      function eitherStridesOrDilationsAreOne(strides, dilations) {
-        return tupleValuesAreOne(strides) || tupleValuesAreOne(dilations);
-      }
-      /**
-       * Convert Conv2D dataFormat from 'NHWC'|'NCHW' to
-       *    'channelsLast'|'channelsFirst'
-       * @param dataFormat in 'NHWC'|'NCHW' mode
-       * @return dataFormat in 'channelsLast'|'channelsFirst' mode
-       * @throws unknown dataFormat
-       */
-      function convertConv2DDataFormat(dataFormat) {
-        if (dataFormat === "NHWC") {
-          return "channelsLast";
-        } else if (dataFormat === "NCHW") {
-          return "channelsFirst";
-        } else {
-          throw new Error(`Unknown dataFormat ${dataFormat}`);
-        }
-      }
-      //# sourceMappingURL=conv_util.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/avg_pool_3d_backprop.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Computes the backprop of a 3d avg pool.
-       *
-       * @param dy The dy error, of rank 5 of shape
-       *     [batchSize, depth, height, width, channels].
-       * assumed.
-       * @param input The original input image, of rank 5 or rank4 of shape
-       *     [batchSize, depth, height, width, channels].
-       * @param filterSize The filter size:
-       *     `[filterDepth, filterHeight, filterWidth]`.
-       *     `filterSize` is a single number,
-       *     then `filterDepth == filterHeight == filterWidth`.
-       * @param strides The strides of the pooling:
-       *     `[strideDepth, strideHeight, strideWidth]`. If
-       *     `strides` is a single number, then `strideHeight == strideWidth`.
-       * @param dilations Deprecated, this field will be gone in v3.0.0. The dilation
-       *     rates: `[dilationDepth, dilationHeight, dilationWidth]`
-       *     in which we sample input values across the depth, height and width
-       *     dimensions in dilated pooling.
-       *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,
-       *     then `dilationDepth == dilationHeight == dilationWidth`.
-       *     If it is greater than 1, then all values of `strides` must be 1.
-       * @param pad A string from: 'same', 'valid'. The type of padding algorithm
-       *     used in the forward prop of the op.
-       * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The
-       *     rounding mode used when computing output dimensions if pad is a
-       *     number. If none is provided, it will not round and error if the output
-       *     is of fractional size.
-       */
-      function avgPool3dBackprop_(
-        dy,
-        input,
-        filterSize,
-        strides,
-        dilations = [1, 1, 1],
-        pad,
-        dimRoundingMode
-      ) {
-        const $dy = Object(tensor_util_env["a" /* convertToTensor */])(
-          dy,
-          "dy",
-          "avgPool3dBackprop"
-        );
-        const $input = Object(tensor_util_env["a" /* convertToTensor */])(
-          input,
-          "input",
-          "avgPool3dBackprop"
-        );
-        let dy5D = $dy;
-        let input5D = $input;
-        let reshapedTo5D = false;
-        if ($input.rank === 4) {
-          reshapedTo5D = true;
-          dy5D = reshape($dy, [1, $dy.shape[0], $dy.shape[1], $dy.shape[2], $dy.shape[3]]);
-          input5D = reshape($input, [
-            1,
-            $input.shape[0],
-            $input.shape[1],
-            $input.shape[2],
-            $input.shape[3],
-          ]);
-        }
-        util["assert"](
-          dy5D.rank === 5,
-          () => `Error in avgPool3dBackprop: dy must be rank 5 but got rank ` + `${dy5D.rank}.`
-        );
-        util["assert"](
-          input5D.rank === 5,
-          () =>
-            `Error in avgPool3dBackprop: input must be rank 5 but got rank ` + `${input5D.rank}.`
-        );
-        util["assert"](
-          eitherStridesOrDilationsAreOne(strides, dilations),
-          () =>
-            "Error in avgPool3dBackprop: Either strides or dilations " +
-            `must be 1. Got strides ${strides} and dilations '${dilations}'`
-        );
-        if (dimRoundingMode != null) {
-          util["assert"](
-            util["isInt"](pad),
-            () =>
-              `Error in maxPool3dBackprop: pad must be an integer when ` +
-              `using, dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`
-          );
-        }
-        const forward = (backend) => {
-          const convInfo = computePool3DInfo(
-            input5D.shape,
-            filterSize,
-            strides,
-            dilations,
-            pad,
-            dimRoundingMode
-          );
-          return backend.avgPool3dBackprop(dy5D, input5D, convInfo);
-        };
-        const inputs = { dy: dy5D, input: input5D };
-        const attrs = { filterSize, strides, dilations, pad, dimRoundingMode };
-        const res = engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* grad */,
-          kernel_names["f" /* AvgPool3DBackprop */],
-          attrs
-        );
-        if (reshapedTo5D) {
-          return reshape(res, [res.shape[1], res.shape[2], res.shape[3], res.shape[4]]);
-        }
-        return res;
-      }
-      const avgPool3dBackprop = Object(operation["a" /* op */])({ avgPool3dBackprop_ });
-      //# sourceMappingURL=avg_pool_3d_backprop.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/AvgPool3D_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const avgPool3DGradConfig = {
-        kernelName: kernel_names["e" /* AvgPool3D */],
-        inputsToSave: ["x"],
-        gradFunc: (dy, saved, attrs) => {
-          const [x] = saved;
-          const { filterSize, strides, dilations, pad, dimRoundingMode } = attrs;
-          const $dilations = dilations == null ? [1, 1, 1] : dilations;
-          return {
-            x: () =>
-              avgPool3dBackprop(dy, x, filterSize, strides, $dilations, pad, dimRoundingMode),
-          };
-        },
-      };
-      //# sourceMappingURL=AvgPool3D_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/avg_pool_backprop.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Computes the backprop of an 2D avg pool.
-       *
-       * @param dy The dy error, of rank 4 or rank 3 of shape
-       *     [batchSize, height, width, channels]. If rank 3, batch of 1 is
-       * assumed.
-       * @param input The input image, of rank 4 or rank 3 of shape
-       *     [batchSize, height, width, channels]. If rank 3, batch of 1 is
-       * assumed.
-       * @param filterSize The filter size: `[filterHeight, filterWidth]`. If
-       *     `filterSize` is a single number, then `filterHeight == filterWidth`.
-       * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If
-       *     `strides` is a single number, then `strideHeight == strideWidth`.
-       * @param pad A string from: 'same', 'valid'. The type of padding algorithm
-       *     used in the forward prop of the op.
-       */
-      function avgPoolBackprop_(dy, input, filterSize, strides, pad) {
-        const $dy = Object(tensor_util_env["a" /* convertToTensor */])(dy, "dy", "avgPoolBackprop");
-        const $input = Object(tensor_util_env["a" /* convertToTensor */])(
-          input,
-          "input",
-          "avgPoolBackprop"
-        );
-        util["assert"](
-          $input.rank === $dy.rank,
-          () => `Rank of input (${$input.rank}) does not match rank of dy (${$dy.rank})`
-        );
-        let input4D = $input;
-        let dy4D = $dy;
-        let reshapedTo4D = false;
-        if ($input.rank === 3) {
-          reshapedTo4D = true;
-          input4D = reshape($input, [1, $input.shape[0], $input.shape[1], $input.shape[2]]);
-          dy4D = reshape($dy, [1, $dy.shape[0], $dy.shape[1], $dy.shape[2]]);
-        }
-        util["assert"](
-          dy4D.rank === 4,
-          () => `Error in avgPoolBackprop: dy must be rank 4 but got rank ` + `${dy4D.rank}.`
-        );
-        util["assert"](
-          input4D.rank === 4,
-          () => `Error in avgPoolBackprop: input must be rank 4 but got rank ` + `${input4D.rank}.`
-        );
-        const forward = (backend) => {
-          const convInfo = computePool2DInfo(
-            input4D.shape,
-            filterSize,
-            strides,
-            1 /* dilations */,
-            pad
-          );
-          return backend.avgPoolBackprop(dy4D, input4D, convInfo);
-        };
-        const inputs = { dy: dy4D, input: input4D };
-        const attrs = { filterSize, strides, pad };
-        const res = engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null,
-          kernel_names["g" /* AvgPoolBackprop */],
-          attrs
-        );
-        if (reshapedTo4D) {
-          return reshape(res, [res.shape[1], res.shape[2], res.shape[3]]);
-        }
-        return res;
-      }
-      const avgPoolBackprop = Object(operation["a" /* op */])({ avgPoolBackprop_ });
-      //# sourceMappingURL=avg_pool_backprop.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/AvgPool_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const avgPoolGradConfig = {
-        kernelName: kernel_names["d" /* AvgPool */],
-        inputsToSave: ["x"],
-        gradFunc: (dy, saved, attrs) => {
-          const [x] = saved;
-          const { filterSize, strides, pad } = attrs;
-          return {
-            x: () => avgPoolBackprop(dy, x, filterSize, strides, pad),
-          };
-        },
-      };
-      //# sourceMappingURL=AvgPool_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/mat_mul.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Computes the dot product of two matrices, A * B. These must be matrices.
-       *
-       * ```js
-       * const a = tf.tensor2d([1, 2], [1, 2]);
-       * const b = tf.tensor2d([1, 2, 3, 4], [2, 2]);
-       *
-       * a.matMul(b).print();  // or tf.matMul(a, b)
-       * ```
-       * @param a First matrix in dot product operation.
-       * @param b Second matrix in dot product operation.
-       * @param transposeA If true, `a` is transposed before multiplication.
-       * @param transposeB If true, `b` is transposed before multiplication.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Matrices'} */
-      function matMul_(a, b, transposeA = false, transposeB = false) {
-        let $a = Object(tensor_util_env["a" /* convertToTensor */])(a, "a", "matMul");
-        let $b = Object(tensor_util_env["a" /* convertToTensor */])(b, "b", "matMul");
-        [$a, $b] = Object(tensor_util["makeTypesMatch"])($a, $b);
-        util["assert"](
-          $a.rank >= 2 && $b.rank >= 2 && $a.rank === $b.rank,
-          () =>
-            `Error in matMul: inputs must have the same rank of at least 2, ` +
-            `got ranks ${$a.rank} and ${$b.rank}.`
-        );
-        const innerShapeA = transposeA ? $a.shape[$a.rank - 2] : $a.shape[$a.rank - 1];
-        const innerShapeB = transposeB ? $b.shape[$b.rank - 1] : $b.shape[$b.rank - 2];
-        const outerShapeA = transposeA ? $a.shape[$a.rank - 1] : $a.shape[$a.rank - 2];
-        const outerShapeB = transposeB ? $b.shape[$b.rank - 2] : $b.shape[$b.rank - 1];
-        const outerDimsA = $a.shape.slice(0, -2);
-        const outerDimsB = $b.shape.slice(0, -2);
-        const batchDimA = util["sizeFromShape"](outerDimsA);
-        const batchDimB = util["sizeFromShape"](outerDimsB);
-        util["assert"](
-          util["arraysEqual"](outerDimsA, outerDimsB),
-          () =>
-            `Error in matMul: outer dimensions (${outerDimsA}) and (` +
-            `${outerDimsB}) of Tensors with shapes ${$a.shape} and ` +
-            `${$b.shape} must match.`
-        );
-        util["assert"](
-          innerShapeA === innerShapeB,
-          () =>
-            `Error in matMul: inner shapes (${innerShapeA}) and (` +
-            `${innerShapeB}) of Tensors with shapes ${$a.shape} and ` +
-            `${$b.shape} and transposeA=${transposeA}` +
-            ` and transposeB=${transposeB} must match.`
-        );
-        const outShape = $a.shape.slice(0, -2).concat([outerShapeA, outerShapeB]);
-        const a3D = transposeA
-          ? reshape($a, [batchDimA, innerShapeA, outerShapeA])
-          : reshape($a, [batchDimA, outerShapeA, innerShapeA]);
-        const b3D = transposeB
-          ? reshape($b, [batchDimB, outerShapeB, innerShapeB])
-          : reshape($b, [batchDimB, innerShapeB, outerShapeB]);
-        const forward = (backend, save) => {
-          save([a3D, b3D]);
-          return backend.batchMatMul(a3D, b3D, transposeA, transposeB);
-        };
-        const inputs = { a: a3D, b: b3D };
-        const attrs = { transposeA, transposeB };
-        const res = engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* grad */,
-          kernel_names["h" /* BatchMatMul */],
-          attrs
-        );
-        return reshape(res, outShape);
-      }
-      const matMul = Object(operation["a" /* op */])({ matMul_ });
-      //# sourceMappingURL=mat_mul.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/BatchMatMul_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const batchMatMulGradConfig = {
-        kernelName: kernel_names["h" /* BatchMatMul */],
-        inputsToSave: ["a", "b"],
-        gradFunc: (dy, saved, attrs) => {
-          const [a, b] = saved;
-          const { transposeA, transposeB } = attrs;
-          if (!transposeA && !transposeB) {
-            return {
-              a: () => matMul(dy, b, false, true),
-              b: () => matMul(a, dy, true, false),
-            };
-          } else if (!transposeA && transposeB) {
-            return {
-              a: () => matMul(dy, b, false, false),
-              b: () => matMul(dy, a, true, false),
-            };
-          } else if (transposeA && !transposeB) {
-            return {
-              a: () => matMul(b, dy, false, true),
-              b: () => matMul(a, dy, false, false),
-            };
-          } else {
-            return {
-              a: () => matMul(b, dy, true, true),
-              b: () => matMul(dy, a, true, true),
-            };
-          }
-        },
-      };
-      //# sourceMappingURL=BatchMatMul_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/space_to_batch_nd.js
-      /**
-       * @license
-       * Copyright 2020 Google LLC. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * This operation divides "spatial" dimensions `[1, ..., M]` of the input into
-       * a grid of blocks of shape `blockShape`, and interleaves these blocks with
-       * the "batch" dimension (0) such that in the output, the spatial
-       * dimensions `[1, ..., M]` correspond to the position within the grid,
-       * and the batch dimension combines both the position within a spatial block
-       * and the original batch position. Prior to division into blocks,
-       * the spatial dimensions of the input are optionally zero padded
-       * according to `paddings`. See below for a precise description.
-       *
-       * ```js
-       * const x = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);
-       * const blockShape = [2, 2];
-       * const paddings = [[0, 0], [0, 0]];
-       *
-       * x.spaceToBatchND(blockShape, paddings).print();
-       * ```
-       *
-       * @param x A `tf.Tensor`. N-D with `x.shape` = `[batch] + spatialShape +
-       * remainingShape`, where spatialShape has `M` dimensions.
-       * @param blockShape A 1-D array. Must have shape `[M]`, all values must
-       * be >= 1.
-       * @param paddings A 2-D array. Must have shape `[M, 2]`, all values must be >=
-       *     0. `paddings[i] = [padStart, padEnd]` specifies the amount to zero-pad
-       * from input dimension `i + 1`, which corresponds to spatial dimension `i`. It
-       * is required that
-       * `(inputShape[i + 1] + padStart + padEnd) % blockShape[i] === 0`
-       *
-       * This operation is equivalent to the following steps:
-       *
-       * 1. Zero-pad the start and end of dimensions `[1, ..., M]` of the input
-       * according to `paddings` to produce `padded` of shape paddedShape.
-       *
-       * 2. Reshape `padded` to `reshapedPadded` of shape:
-       * `[batch] + [paddedShape[1] / blockShape[0], blockShape[0], ...,
-       * paddedShape[M] / blockShape[M-1], blockShape[M-1]] + remainingShape`
-       *
-       * 3. Permute dimensions of `reshapedPadded` to produce `permutedReshapedPadded`
-       * of shape: `blockShape + [batch] + [paddedShape[1] / blockShape[0], ...,
-       * paddedShape[M] / blockShape[M-1]] + remainingShape`
-       *
-       * 4. Reshape `permutedReshapedPadded` to flatten `blockShape` into the
-       * batch dimension, producing an output tensor of shape:
-       * `[batch * prod(blockShape)] + [paddedShape[1] / blockShape[0], ...,
-       * paddedShape[M] / blockShape[M-1]] + remainingShape`
-       */
-      /** @doc {heading: 'Tensors', subheading: 'Transformations'} */
-      function spaceToBatchND_(x, blockShape, paddings) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "spaceToBatchND");
-        util["assert"](
-          $x.rank >= 1 + blockShape.length,
-          () => `input rank ${$x.rank} should be > than [blockShape] ${blockShape.length}`
-        );
-        util["assert"](
-          paddings.length === blockShape.length,
-          () =>
-            `paddings.shape[0] ${paddings.length} must be equal to [blockShape] ${blockShape.length}`
-        );
-        util["assert"](
-          $x.shape.reduce((a, b, i) => {
-            if (i > 0 && i <= blockShape.length) {
-              return a && (b + paddings[i - 1][0] + paddings[i - 1][1]) % blockShape[i - 1] === 0;
-            }
-            return a;
-          }, true),
-          () =>
-            `input spatial dimensions ${$x.shape.slice(
-              1
-            )} with paddings ${paddings.toString()} must be divisible by blockShapes ${blockShape.toString()}`
-        );
-        const forward = (backend) => backend.spaceToBatchND($x, blockShape, paddings);
-        const inputs = { x: $x };
-        const attrs = { blockShape, paddings };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* gradient */,
-          kernel_names["mb" /* SpaceToBatchND */],
-          attrs
-        );
-      }
-      const spaceToBatchND = Object(operation["a" /* op */])({ spaceToBatchND_ });
-      //# sourceMappingURL=space_to_batch_nd.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/BatchToSpaceND_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const batchToSpaceNDGradConfig = {
-        kernelName: kernel_names["i" /* BatchToSpaceND */],
-        gradFunc: (dy, saved, attrs) => {
-          const { blockShape, crops } = attrs;
-          return { x: () => spaceToBatchND(dy, blockShape, crops) };
-        },
-      };
-      //# sourceMappingURL=BatchToSpaceND_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/BroadcastTo_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const broadcastToGradConfig = {
-        kernelName: kernel_names["j" /* BroadcastTo */],
-        gradFunc: (dy, saved, attrs) => {
-          const broadCastToAttrs = attrs;
-          const inputShape = broadCastToAttrs.inputShape;
-          const outputShape = broadCastToAttrs.shape;
-          const reps = Array.from(outputShape);
-          for (let i = inputShape.length - 1; i >= 0; i--) {
-            if (inputShape[i] === outputShape[i]) {
-              reps[i] = 1;
-            } else if (inputShape[i] !== 1) {
-              throw new Error(
-                `broadcastTo(): [${inputShape}] cannot be broadcast to [${outputShape}].`
-              );
-            }
-          }
-          const axes = [];
-          for (let i = 0; i < reps.length; i++) {
-            if (reps[i] > 1) {
-              axes.push(i);
-            }
-          }
-          return { x: () => sum(dy, axes, true /* keepDims */) };
-        },
-      };
-      //# sourceMappingURL=BroadcastTo_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/split.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Splits a `tf.Tensor` into sub tensors.
-       *
-       * If `numOrSizeSplits` is a number, splits `x` along dimension `axis`
-       * into `numOrSizeSplits` smaller tensors.
-       * Requires that `numOrSizeSplits` evenly divides `x.shape[axis]`.
-       *
-       * If `numOrSizeSplits` is a number array, splits `x` into
-       * `numOrSizeSplits.length` pieces. The shape of the `i`-th piece has the
-       * same size as `x` except along dimension `axis` where the size is
-       * `numOrSizeSplits[i]`.
-       *
-       * ```js
-       * const x = tf.tensor2d([1, 2, 3, 4, 5, 6, 7, 8], [2, 4]);
-       * const [a, b] = tf.split(x, 2, 1);
-       * a.print();
-       * b.print();
-       *
-       * const [c, d, e] = tf.split(x, [1, 2, 1], 1);
-       * c.print();
-       * d.print();
-       * e.print();
-       * ```
-       *
-       * @param x The input tensor to split.
-       * @param numOrSizeSplits Either an integer indicating the number of
-       * splits along the axis or an array of integers containing the sizes of
-       * each output tensor along the axis. If a number then it must evenly divide
-       * `x.shape[axis]`; otherwise the sum of sizes must match `x.shape[axis]`.
-       * @param axis The dimension along which to split. Defaults to 0 (the first
-       * dim).
-       */
-      /** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */
-      function split_(x, numOrSizeSplits, axis = 0) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "split");
-        const $axis = Object(util["parseAxisParam"])(axis, $x.shape)[0];
-        let splitSizes;
-        if (typeof numOrSizeSplits === "number") {
-          Object(util["assert"])(
-            $x.shape[$axis] % numOrSizeSplits === 0,
-            () => "Number of splits must evenly divide the axis."
-          );
-          splitSizes = new Array(numOrSizeSplits).fill($x.shape[$axis] / numOrSizeSplits);
-        } else {
-          Object(util["assert"])(
-            $x.shape[$axis] === numOrSizeSplits.reduce((a, b) => a + b),
-            () => "The sum of sizes must match the size of the axis dimension."
-          );
-          splitSizes = numOrSizeSplits;
-        }
-        const forward = (backend, _) => {
-          return backend.split($x, splitSizes, $axis);
-        };
-        const inputs = { x: $x };
-        const attr = { numOrSizeSplits, axis };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* grad */,
-          kernel_names["nb" /* SplitV */],
-          attr
-        );
-      }
-      const split = Object(operation["a" /* op */])({ split_ });
-      //# sourceMappingURL=split.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Concat_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const concatGradConfig = {
-        kernelName: kernel_names["l" /* Concat */],
-        saveAllInputs: true,
-        gradFunc: (dy, saved, attrs) => {
-          const shapes = saved.map((t) => t.shape);
-          const { axis } = attrs;
-          const $axis = Object(util["parseAxisParam"])(axis, saved[0].shape)[0];
-          const sizeSplits = shapes.map((s) => s[$axis]);
-          const derTensors = split(dy, sizeSplits, $axis);
-          return derTensors.map((t) => () => t);
-        },
-      };
-      //# sourceMappingURL=Concat_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/conv2d_backprop_filter.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Computes the derivative of the filter of a 2D convolution.
-       *
-       * @param x The input tensor, of rank 4 or rank 3 of shape
-       *     [batch, height, width, inChannels]. If rank 3, batch of 1 is assumed.
-       * @param dy The dy image, of rank 4 or rank 3, of shape
-       *     [batch, height, width, outDepth]. If rank 3, batch of 1 is assumed.
-       * @param filterShape The shape of the filter, length 4,
-       *     [filterHeight, filterWidth, inDepth, outDepth].
-       * @param strides The strides of the convolution: [strideHeight,
-       * strideWidth].
-       * @param pad A string from: 'same', 'valid'. The type of padding algorithm
-       *     used in the forward prop of the op.
-       * @param dataFormat: An optional string from: "NHWC", "NCHW". Defaults to
-       *     "NHWC". Specify the data format of the input and output data. With the
-       *     default format "NHWC", the data is stored in the order of: [batch,
-       *     height, width, channels].
-       * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The
-       *     rounding mode used when computing output dimensions if pad is a
-       *     number. If none is provided, it will not round and error if the output
-       *     is of fractional size.
-       */
-      function conv2DBackpropFilter_(
-        x,
-        dy,
-        filterShape,
-        strides,
-        pad,
-        dataFormat = "NHWC",
-        dimRoundingMode
-      ) {
-        let x4D = x;
-        if (x.rank === 3) {
-          x4D = reshape(x, [1, x.shape[0], x.shape[1], x.shape[2]]);
-        }
-        let dy4D = dy;
-        if (dy4D.rank === 3) {
-          dy4D = reshape(dy, [1, dy.shape[0], dy.shape[1], dy.shape[2]]);
-        }
-        util["assert"](
-          x4D.rank === 4,
-          () => `Error in conv2dDerFilter: input must be rank 4, but got shape ` + `${x4D.shape}.`
-        );
-        util["assert"](
-          dy4D.rank === 4,
-          () => `Error in conv2dDerFilter: dy must be rank 4, but got shape ` + `${dy4D.shape}.`
-        );
-        util["assert"](
-          filterShape.length === 4,
-          () =>
-            `Error in conv2dDerFilter: filterShape must be length 4, but got ` + `${filterShape}.`
-        );
-        const inDepth = dataFormat === "NHWC" ? x4D.shape[3] : x4D.shape[1];
-        const outDepth = dataFormat === "NHWC" ? dy4D.shape[3] : dy4D.shape[1];
-        util["assert"](
-          inDepth === filterShape[2],
-          () =>
-            `Error in conv2dDerFilter: depth of input ${inDepth}) must ` +
-            `match input depth in filter (${filterShape[2]}.`
-        );
-        util["assert"](
-          outDepth === filterShape[3],
-          () =>
-            `Error in conv2dDerFilter: depth of dy (${outDepth}) must ` +
-            `match output depth for filter (${filterShape[3]}).`
-        );
-        if (dimRoundingMode != null) {
-          util["assert"](
-            util["isInt"](pad),
-            () =>
-              `Error in conv2dDerFilter: pad must be an integer when using, ` +
-              `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`
-          );
-        }
-        const forward = (backend) => {
-          const dilations = 1;
-          const $dataFormat = convertConv2DDataFormat(dataFormat);
-          const convInfo = computeConv2DInfo(
-            x4D.shape,
-            filterShape,
-            strides,
-            dilations,
-            pad,
-            dimRoundingMode,
-            false,
-            $dataFormat
-          );
-          return backend.conv2dDerFilter(x4D, dy4D, convInfo);
-        };
-        const inputs = { x: x4D, dy: dy4D };
-        const attrs = { strides, pad, dataFormat, dimRoundingMode };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null,
-          kernel_names["n" /* Conv2DBackpropFilter */],
-          attrs
-        );
-      }
-      const conv2DBackpropFilter = Object(operation["a" /* op */])({ conv2DBackpropFilter_ });
-      //# sourceMappingURL=conv2d_backprop_filter.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/conv2d_backprop_input.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Computes the derivative of the input of a 2D convolution.
-       *
-       * @param xShape The shape of the input: [batch, height, width, inDepth].
-       * If length of 3, batch of 1 is assumed.
-       * @param dy The derivative of the output, of rank 4 or rank 3 of shape
-       *   `[batch, outHeight, outWidth, outDepth]`. If rank 3, batch of 1 is
-       * assumed.
-       * @param filter The filter, rank 4, of shape
-       *     `[filterHeight, filterWidth, inDepth, outDepth]`.
-       * @param strides The strides of the convolution: `[strideHeight,
-       * strideWidth]`.
-       * @param pad The type of padding algorithm used:
-       *    - `same` and stride 1: output will be of same size as input,
-       *       regardless of filter size.
-       *    - `valid`: output will be smaller than input if filter is larger
-       *       than 1x1.
-       * @param dataFormat: An optional string from: "NHWC", "NCHW". Defaults to
-       *     "NHWC". Specify the data format of the input and output data. With the
-       *     default format "NHWC", the data is stored in the order of: [batch,
-       *     height, width, channels].
-       * @param dimRoundingMode The rounding mode used when computing output
-       *     dimensions if pad is a number. If none is provided, it will not round
-       *     and error if the output is of fractional size.
-       */
-      function conv2DBackpropInput_(
-        xShape,
-        dy,
-        filter,
-        strides,
-        pad,
-        dataFormat = "NHWC",
-        dimRoundingMode
-      ) {
-        util["assert"](
-          xShape.length === dy.rank,
-          () => `Length of inShape ` + `(${xShape.length}) and rank of dy (${dy.rank}) must match`
-        );
-        let xShape4D = xShape;
-        let dy4D = dy;
-        let reshapedTo4D = false;
-        if (dy.rank === 3) {
-          reshapedTo4D = true;
-          dy4D = reshape(dy, [1, dy.shape[0], dy.shape[1], dy.shape[2]]);
-          xShape4D = [1, xShape[0], xShape[1], xShape[2]];
-        }
-        util["assert"](
-          xShape4D.length === 4,
-          () =>
-            `Error in conv2dDerInput: inShape must be length 4, but got length ` +
-            `${xShape4D.length}.`
-        );
-        util["assert"](
-          dy4D.rank === 4,
-          () => `Error in conv2dDerInput: dy must be rank 4, but got ` + `rank ${dy4D.rank}`
-        );
-        util["assert"](
-          filter.rank === 4,
-          () => `Error in conv2dDerInput: filter must be rank 4, but got ` + `rank ${filter.rank}`
-        );
-        const inDepth = dataFormat === "NHWC" ? xShape4D[3] : xShape4D[1];
-        const outDepth = dataFormat === "NHWC" ? dy4D.shape[3] : dy4D.shape[1];
-        util["assert"](
-          inDepth === filter.shape[2],
-          () =>
-            `Error in conv2dDerInput: depth of input (${inDepth}) must ` +
-            `match input depth for filter ${filter.shape[2]}.`
-        );
-        util["assert"](
-          outDepth === filter.shape[3],
-          () =>
-            `Error in conv2dDerInput: depth of output (${outDepth}) must ` +
-            `match output depth for filter ${filter.shape[3]}.`
-        );
-        if (dimRoundingMode != null) {
-          util["assert"](
-            util["isInt"](pad),
-            () =>
-              `Error in conv2dDerInput: pad must be an integer when using, ` +
-              `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`
-          );
-        }
-        const forward = (backend, save) => {
-          const dilations = 1;
-          const $dataFormat = convertConv2DDataFormat(dataFormat);
-          const convInfo = computeConv2DInfo(
-            xShape4D,
-            filter.shape,
-            strides,
-            dilations,
-            pad,
-            dimRoundingMode,
-            false,
-            $dataFormat
-          );
-          const res = backend.conv2dDerInput(dy4D, filter, convInfo);
-          save([dy4D, filter]);
-          return res;
-        };
-        const inputs = { dy: dy4D, filter };
-        const attrs = { strides, pad, dataFormat, dimRoundingMode };
-        const res = engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* grad */,
-          kernel_names["o" /* Conv2DBackpropInput */],
-          attrs
-        );
-        if (reshapedTo4D) {
-          return reshape(res, [res.shape[1], res.shape[2], res.shape[3]]);
-        }
-        return res;
-      }
-      const conv2DBackpropInput = Object(operation["a" /* op */])({ conv2DBackpropInput_ });
-      //# sourceMappingURL=conv2d_backprop_input.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Conv2D_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const conv2DGradConfig = {
-        kernelName: kernel_names["m" /* Conv2D */],
-        inputsToSave: ["x", "filter"],
-        gradFunc: (dy, saved, attrs) => {
-          const [x4D, $filter] = saved;
-          const { dilations, strides, pad, dataFormat } = attrs;
-          util["assert"](
-            tupleValuesAreOne(dilations),
-            () =>
-              "Error in gradient of conv2D: dilation rates greater than 1 " +
-              `are not yet supported in gradients. Got dilations '${dilations}'`
-          );
-          return {
-            x: () => conv2DBackpropInput(x4D.shape, dy, $filter, strides, pad, dataFormat),
-            filter: () => conv2DBackpropFilter(x4D, dy, $filter.shape, strides, pad, dataFormat),
-          };
-        },
-      };
-      //# sourceMappingURL=Conv2D_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/conv2d.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Computes a 2D convolution over the input x.
-       *
-       * @param x The input tensor, of rank 4 or rank 3, of shape
-       *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is
-       * assumed.
-       * @param filter The filter, rank 4, of shape
-       *     `[filterHeight, filterWidth, inDepth, outDepth]`.
-       * @param strides The strides of the convolution: `[strideHeight,
-       * strideWidth]`.
-       * @param pad The type of padding algorithm.
-       *    - `same` and stride 1: output will be of same size as input,
-       *       regardless of filter size.
-       *    - `valid`: output will be smaller than input if filter is larger
-       *       than 1x1.
-       *   - For more info, see this guide:
-       *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](
-       *          https://www.tensorflow.org/api_guides/python/nn#Convolution)
-       * @param dataFormat: An optional string from: "NHWC", "NCHW". Defaults to
-       *     "NHWC". Specify the data format of the input and output data. With the
-       *     default format "NHWC", the data is stored in the order of: [batch,
-       *     height, width, channels].
-       * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`
-       *     in which we sample input values across the height and width dimensions
-       *     in atrous convolution. Defaults to `[1, 1]`. If `dilations` is a single
-       *     number, then `dilationHeight == dilationWidth`. If it is greater than
-       *     1, then all values of `strides` must be 1.
-       * @param dimRoundingMode The rounding mode used when computing output
-       *     dimensions if pad is a number. If none is provided, it will not round
-       *     and error if the output is of fractional size.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Convolution'} */
-      function conv2d_(
-        x,
-        filter,
-        strides,
-        pad,
-        dataFormat = "NHWC",
-        dilations = [1, 1],
-        dimRoundingMode
-      ) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "conv2d");
-        const $filter = Object(tensor_util_env["a" /* convertToTensor */])(
-          filter,
-          "filter",
-          "conv2d"
-        );
-        let x4D = $x;
-        let reshapedTo4D = false;
-        if ($x.rank === 3) {
-          reshapedTo4D = true;
-          x4D = reshape($x, [1, $x.shape[0], $x.shape[1], $x.shape[2]]);
-        }
-        util["assert"](
-          x4D.rank === 4,
-          () => `Error in conv2d: input must be rank 4, but got rank ${x4D.rank}.`
-        );
-        util["assert"](
-          $filter.rank === 4,
-          () => `Error in conv2d: filter must be rank 4, but got rank ` + `${$filter.rank}.`
-        );
-        if (dimRoundingMode != null) {
-          util["assert"](
-            util["isInt"](pad),
-            () =>
-              `Error in conv2d: pad must be an integer when using, ` +
-              `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`
-          );
-        }
-        const inDepth = dataFormat === "NHWC" ? x4D.shape[3] : x4D.shape[1];
-        util["assert"](
-          inDepth === $filter.shape[2],
-          () =>
-            `Error in conv2d: depth of input (${inDepth}) must match ` +
-            `input depth for filter ${$filter.shape[2]}.`
-        );
-        util["assert"](
-          eitherStridesOrDilationsAreOne(strides, dilations),
-          () =>
-            "Error in conv2D: Either strides or dilations must be 1. " +
-            `Got strides ${strides} and dilations '${dilations}'`
-        );
-        const forward = (backend, save) => {
-          const $dataFormat = convertConv2DDataFormat(dataFormat);
-          const convInfo = computeConv2DInfo(
-            x4D.shape,
-            $filter.shape,
-            strides,
-            dilations,
-            pad,
-            dimRoundingMode,
-            false,
-            $dataFormat
-          );
-          const res = backend.conv2d(x4D, $filter, convInfo);
-          save([x4D, $filter]);
-          return res;
-        };
-        const inputs = { x: x4D, filter: $filter };
-        const attrs = { strides, pad, dataFormat, dilations, dimRoundingMode };
-        const res = engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* grad */,
-          kernel_names["m" /* Conv2D */],
-          attrs
-        );
-        if (reshapedTo4D) {
-          return reshape(res, [res.shape[1], res.shape[2], res.shape[3]]);
-        }
-        return res;
-      }
-      const conv2d = Object(operation["a" /* op */])({ conv2d_ });
-      //# sourceMappingURL=conv2d.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Conv2DBackpropInput_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const conv2DBackpropInputGradConfig = {
-        kernelName: kernel_names["o" /* Conv2DBackpropInput */],
-        inputsToSave: ["dy", "filter"],
-        gradFunc: (ddx, saved, attrs) => {
-          const [dy, filter] = saved;
-          const { strides, pad, dataFormat, dimRoundingMode } = attrs;
-          return {
-            dy: () =>
-              conv2d(ddx, filter, strides, pad, dataFormat, 1 /* dilations */, dimRoundingMode),
-            filter: () =>
-              conv2DBackpropFilter(
-                ddx,
-                dy,
-                filter.shape,
-                strides,
-                pad,
-                dataFormat,
-                dimRoundingMode
-              ),
-          };
-        },
-      };
-      //# sourceMappingURL=Conv2DBackpropInput_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/conv3d_backprop_filter.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Computes the derivative of the filter of a 3D convolution.
-       *
-       * @param x The input tensor, of rank 5 or rank 4 of shape
-       *     [batch, depth, height, width, inChannels]. If rank 4, batch of 1 is
-       *     assumed.
-       * @param dy The dy image, of rank 5 or rank 4, of shape
-       *     [batch, depth, height, width, outDepth]. If rank 4, batch of 1 is
-       *     assumed.
-       * @param filterShape The shape of the filter, length 5,
-       *     [filterDepth, filterHeight, filterWidth, inDepth, outDepth].
-       * @param strides The strides of the convolution: [strideDepth, strideHeight,
-       * strideWidth].
-       * @param pad A string from: 'same', 'valid'. The type of padding algorithm
-       *     used in the forward prop of the op.
-       */
-      function conv3DBackpropFilter_(x, dy, filterShape, strides, pad) {
-        let x5D = x;
-        if (x.rank === 4) {
-          x5D = reshape(x, [1, x.shape[0], x.shape[1], x.shape[2], x.shape[3]]);
-        }
-        let dy5D = dy;
-        if (dy5D.rank === 4) {
-          dy5D = reshape(dy, [1, dy.shape[0], dy.shape[1], dy.shape[2], dy.shape[3]]);
-        }
-        util["assert"](
-          x5D.rank === 5,
-          () => `Error in conv3dDerFilter: input must be rank 5, but got shape ` + `${x5D.shape}.`
-        );
-        util["assert"](
-          dy5D.rank === 5,
-          () => `Error in conv3dDerFilter: dy must be rank 5, but got shape ` + `${dy5D.shape}.`
-        );
-        util["assert"](
-          filterShape.length === 5,
-          () =>
-            `Error in conv3dDerFilter: filterShape must be length 5, but got ` + `${filterShape}.`
-        );
-        util["assert"](
-          x5D.shape[4] === filterShape[3],
-          () =>
-            `Error in conv3dDerFilter: depth of input ${x5D.shape[4]}) must ` +
-            `match input depth in filter (${filterShape[3]}.`
-        );
-        util["assert"](
-          dy5D.shape[4] === filterShape[4],
-          () =>
-            `Error in conv3dDerFilter: depth of dy (${dy5D.shape[4]}) must ` +
-            `match output depth for filter (${filterShape[4]}).`
-        );
-        const forward = (backend) => {
-          const dilations = 1;
-          const convInfo = computeConv3DInfo(x5D.shape, filterShape, strides, dilations, pad);
-          return backend.conv3dDerFilter(x5D, dy5D, convInfo);
-        };
-        const inputs = { x: x5D, y: dy5D };
-        const attrs = { strides, pad };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null,
-          kernel_names["q" /* Conv3DBackpropFilterV2 */],
-          attrs
-        );
-      }
-      const conv3DBackpropFilter = Object(operation["a" /* op */])({ conv3DBackpropFilter_ });
-      //# sourceMappingURL=conv3d_backprop_filter.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/conv3d_backprop_input.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Computes the derivative of the input of a 3D convolution.
-       *
-       * @param xShape The shape of the input: [batch, depth, height, width,
-       * in_channels]. If length of 4, batch of 1 is assumed.
-       * @param dy The derivative of the output, of rank 5 or rank 4 of shape
-       *   `[batch, outDepth, outHeight, outWidth, in_channels]`.
-       * If rank 4, batch of 1 is assumed.
-       * @param filter The filter, rank 5, of shape
-       *     `[filterDepth, filterHeight, filterWidth, inDepth, outDepth]`.
-       * @param strides The strides of the convolution: `[strideDepth, strideHeight,
-       * strideWidth]`.
-       * @param pad The type of padding algorithm used:
-       *    - `same` and stride 1: output will be of same size as input,
-       *       regardless of filter size.
-       *    - `valid`: output will be smaller than input if filter is larger
-       *       than 1x1.
-       */
-      function conv3DBackpropInput_(xShape, dy, filter, strides, pad) {
-        util["assert"](
-          xShape.length === dy.rank,
-          () => `Length of inShape ` + `(${xShape.length}) and rank of dy (${dy.rank}) must match`
-        );
-        let xShape5D = xShape;
-        let dy5D = dy;
-        let reshapedTo5D = false;
-        if (dy.rank === 4) {
-          reshapedTo5D = true;
-          dy5D = reshape(dy, [1, dy.shape[0], dy.shape[1], dy.shape[2], dy.shape[3]]);
-          xShape5D = [1, xShape[0], xShape[1], xShape[2], xShape[3]];
-        }
-        const inDepth = xShape5D[4];
-        const outDepth = dy5D.shape[4];
-        util["assert"](
-          xShape5D.length === 5,
-          () =>
-            `Error in conv3dDerInput: inShape must be length 5, but got length ` +
-            `${xShape5D.length}.`
-        );
-        util["assert"](
-          dy5D.rank === 5,
-          () => `Error in conv3dDerInput: dy must be rank 5, but got ` + `rank ${dy5D.rank}`
-        );
-        util["assert"](
-          filter.rank === 5,
-          () => `Error in conv3dDerInput: filter must be rank 5, but got ` + `rank ${filter.rank}`
-        );
-        util["assert"](
-          inDepth === filter.shape[3],
-          () =>
-            `Error in conv3dDerInput: depth of input (${inDepth}) must ` +
-            `match input depth for filter ${filter.shape[3]}.`
-        );
-        util["assert"](
-          outDepth === filter.shape[4],
-          () =>
-            `Error in conv3dDerInput: depth of output (${outDepth}) must ` +
-            `match output depth for filter ${filter.shape[4]}.`
-        );
-        const forward = (backend) => {
-          const dilations = 1;
-          const convInfo = computeConv3DInfo(xShape5D, filter.shape, strides, dilations, pad);
-          return backend.conv3dDerInput(dy5D, filter, convInfo);
-        };
-        const inputs = { dy: dy5D };
-        const attrs = { pad };
-        const res = engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null,
-          kernel_names["r" /* Conv3DBackpropInputV2 */],
-          attrs
-        );
-        if (reshapedTo5D) {
-          return reshape(res, [res.shape[1], res.shape[2], res.shape[3], res.shape[4]]);
-        }
-        return res;
-      }
-      const conv3DBackpropInput = Object(operation["a" /* op */])({ conv3DBackpropInput_ });
-      //# sourceMappingURL=conv3d_backprop_input.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Conv3D_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const conv3DGradConfig = {
-        kernelName: kernel_names["p" /* Conv3D */],
-        inputsToSave: ["x", "filter"],
-        gradFunc: (dy, saved, attrs) => {
-          const { dilations, strides, pad } = attrs;
-          util["assert"](
-            tupleValuesAreOne(dilations),
-            () =>
-              "Error in gradient of conv3D: dilation rates greater than 1 are " +
-              `not yet supported in gradients. Got dilations '${dilations}'`
-          );
-          const [x5D, $filter] = saved;
-          return {
-            x: () => conv3DBackpropInput(x5D.shape, dy, $filter, strides, pad),
-            filter: () => conv3DBackpropFilter(x5D, dy, $filter.shape, strides, pad),
-          };
-        },
-      };
-      //# sourceMappingURL=Conv3D_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/transpose.js
-      /**
-       * @license
-       * Copyright 2018 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Transposes the `tf.Tensor`. Permutes the dimensions according to `perm`.
-       *
-       * The returned `tf.Tensor`'s dimension `i` will correspond to the input
-       * dimension `perm[i]`. If `perm` is not given, it is set to `[n-1...0]`,
-       * where `n` is the rank of the input `tf.Tensor`. Hence by default, this
-       * operation performs a regular matrix transpose on 2-D input `tf.Tensor`s.
-       *
-       * ```js
-       * const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);
-       *
-       * a.transpose().print();  // or tf.transpose(a)
-       * ```
-       *
-       * @param x The tensor to transpose.
-       * @param perm The permutation of the dimensions of a.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Matrices'} */
-      function transpose_(x, perm) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "transpose");
-        if (perm == null) {
-          perm = $x.shape.map((s, i) => i).reverse();
-        }
-        util["assert"](
-          $x.rank === perm.length,
-          () =>
-            `Error in transpose: rank of input ${$x.rank} ` + `must match length of perm ${perm}.`
-        );
-        perm.forEach((axis) => {
-          util["assert"](
-            axis >= 0 && axis < $x.rank,
-            () => `All entries in 'perm' must be between 0 and ${$x.rank - 1}` + ` but got ${perm}`
-          );
-        });
-        if ($x.rank <= 1) {
-          return $x.clone();
-        }
-        const attrs = { perm };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend) => backend.transpose($x, perm),
-          { x: $x },
-          null /* gradient */,
-          "Transpose",
-          attrs
-        );
-      }
-      const transpose = Object(operation["a" /* op */])({ transpose_ });
-      //# sourceMappingURL=transpose.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/cumsum.js
-      /**
-       * @license
-       * Copyright 2018 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Computes the cumulative sum of a `tf.Tensor` along `axis`.
-       *
-       * ```js
-       * const x = tf.tensor([1, 2, 3, 4]);
-       * x.cumsum().print();
-       * ```
-       * ```js
-       * const x = tf.tensor([[1, 2], [3, 4]]);
-       * x.cumsum().print();
-       * ```
-       *
-       * @param x The input tensor to be summed.
-       * @param axis The axis along which to sum. Optional. Defaults to 0.
-       * @param exclusive Whether to perform exclusive cumulative sum. Optional.
-       *     Defaults to false. If set to true then the sum of each tensor entry
-       *     does not include its own value, but only the values previous to it
-       *     along the specified axis.
-       * @param reverse Whether to sum in the opposite direction. Optional.
-       *     Defaults to false.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Scan'} */
-      function cumsum_(x, axis = 0, exclusive = false, reverse = false) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "cumsum");
-        const forward = (backend, save) => {
-          const permutation = getAxesPermutation([axis], $x.rank);
-          let permutedX = $x;
-          if (permutation != null) {
-            permutedX = transpose($x, permutation);
-          }
-          const permutedAxis = getInnerMostAxes(1, $x.rank)[0];
-          let value = backend.cumsum(permutedX, permutedAxis, exclusive, reverse);
-          save([$x]);
-          if (permutation != null) {
-            value = transpose(value, permutation);
-          }
-          return value;
-        };
-        const inputs = { x: $x };
-        const attrs = { axis, exclusive, reverse };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* grad */,
-          kernel_names["s" /* Cumsum */],
-          attrs
-        );
-      }
-      const cumsum = Object(operation["a" /* op */])({ cumsum_ });
-      //# sourceMappingURL=cumsum.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Cumsum_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google LLC. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const cumsumGradConfig = {
-        kernelName: kernel_names["s" /* Cumsum */],
-        inputsToSave: ["x"],
-        gradFunc: (dy, saved, attrs) => {
-          const [x] = saved;
-          const { axis, exclusive, reverse } = attrs;
-          return {
-            x: () => {
-              const permutation = getAxesPermutation([axis], x.rank);
-              let out = cumsum(dy, axis, exclusive, !reverse);
-              if (permutation != null) {
-                out = transpose(out, permutation);
-              }
-              return out;
-            },
-          };
-        },
-      };
-      //# sourceMappingURL=Cumsum_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/depthwise_conv2d_native_backprop_filter.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      function depthwiseConv2dNativeBackpropFilter_(x, dy, filterShape, convInfo) {
-        let x4D = x;
-        if (x.rank === 3) {
-          x4D = reshape(x, [1, x.shape[0], x.shape[1], x.shape[2]]);
-        }
-        let dy4D = dy;
-        if (dy4D.rank === 3) {
-          dy4D = reshape(dy, [1, dy.shape[0], dy.shape[1], dy.shape[2]]);
-        }
-        const forward = (backend) => backend.depthwiseConv2DDerFilter(x4D, dy4D, convInfo);
-        const inputs = { x: x4D, dy: dy4D };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null,
-          kernel_names["v" /* DepthwiseConv2dNativeBackpropFilter */]
-        );
-      }
-      const depthwiseConv2dNativeBackpropFilter = Object(operation["a" /* op */])({
-        depthwiseConv2dNativeBackpropFilter_,
-      });
-      //# sourceMappingURL=depthwise_conv2d_native_backprop_filter.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/depthwise_conv2d_native_backprop_input.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      function depthwiseConv2dNativeBackpropInput_(xShape, dy, filter, convInfo) {
-        let dy4D = dy;
-        let reshapedTo4D = false;
-        if (dy.rank === 3) {
-          reshapedTo4D = true;
-          dy4D = reshape(dy, [1, dy.shape[0], dy.shape[1], dy.shape[2]]);
-        }
-        const forward = (backend) => backend.depthwiseConv2DDerInput(dy4D, filter, convInfo);
-        const inputs = { dy: dy4D };
-        const res = engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null,
-          kernel_names["w" /* DepthwiseConv2dNativeBackpropInput */]
-        );
-        if (reshapedTo4D) {
-          return reshape(res, [res.shape[1], res.shape[2], res.shape[3]]);
-        }
-        return res;
-      }
-      const depthwiseConv2dNativeBackpropInput = Object(operation["a" /* op */])({
-        depthwiseConv2dNativeBackpropInput_,
-      });
-      //# sourceMappingURL=depthwise_conv2d_native_backprop_input.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/DepthwiseConv2dNative_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const depthwiseConv2dNativeGradConfig = {
-        kernelName: kernel_names["u" /* DepthwiseConv2dNative */],
-        inputsToSave: ["x", "filter"],
-        gradFunc: (dy, saved, attrs) => {
-          const { dilations, strides, pad, dimRoundingMode } = attrs;
-          const $dilations = dilations == null ? [1, 1] : dilations;
-          util["assert"](
-            tupleValuesAreOne($dilations),
-            () =>
-              "Error in gradient of depthwiseConv2dNative: dilation rates " +
-              `greater than 1 are not yet supported. Got dilations ` +
-              `'${$dilations}'`
-          );
-          const [x, filter] = saved;
-          util["assert"](
-            x.rank === 4,
-            () =>
-              `Error in gradient of depthwiseConv2dNative: input must be ` +
-              `rank 4, but got rank ${x.rank}.`
-          );
-          util["assert"](
-            filter.rank === 4,
-            () =>
-              `Error in gradient of depthwiseConv2dNative: filter must be ` +
-              `rank 4, but got rank ${filter.rank}.`
-          );
-          util["assert"](
-            x.shape[3] === filter.shape[2],
-            () =>
-              `Error in gradient of depthwiseConv2d: number of input ` +
-              `channels (${x.shape[3]}) must match the inChannels dimension ` +
-              `in filter ${filter.shape[2]}.`
-          );
-          util["assert"](
-            eitherStridesOrDilationsAreOne(strides, $dilations),
-            () =>
-              "Error in gradient of depthwiseConv2d: Either strides or " +
-              `dilations must be  1. Got strides ${strides} and dilations ` +
-              `'${$dilations}'.`
-          );
-          if (dimRoundingMode != null) {
-            util["assert"](
-              util["isInt"](pad),
-              () =>
-                `Error in depthwiseConv2d: pad must be an integer when using, ` +
-                `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`
-            );
-          }
-          const convInfo = computeConv2DInfo(
-            x.shape,
-            filter.shape,
-            strides,
-            $dilations,
-            pad,
-            dimRoundingMode,
-            true /* depthwise */
-          );
-          return {
-            x: () => depthwiseConv2dNativeBackpropInput(x.shape, dy, filter, convInfo),
-            filter: () => depthwiseConv2dNativeBackpropFilter(x, dy, filter.shape, convInfo),
-          };
-        },
-      };
-      //# sourceMappingURL=DepthwiseConv2dNative_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Div_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const divGradConfig = {
-        kernelName: kernel_names["y" /* Div */],
-        inputsToSave: ["a", "b"],
-        gradFunc: (dy, saved) => {
-          const [a, b] = saved;
-          const outShape = assertAndGetBroadcastShape(a.shape, b.shape);
-          const derA = () => {
-            const res = div(dy, b.toFloat());
-            const reduceAxes = getReductionAxes(a.shape, outShape);
-            if (reduceAxes.length > 0) {
-              return sum(res, reduceAxes).reshape(a.shape);
-            }
-            return res;
-          };
-          const derB = () => {
-            let res = mul(dy, a.toFloat());
-            const reduceAxes = getReductionAxes(b.shape, outShape);
-            if (reduceAxes.length > 0) {
-              res = reshape(sum(res, reduceAxes), b.shape);
-            }
-            const tmp = square(b);
-            return neg(div(res, tmp.toFloat()));
-          };
-          return { a: derA, b: derB };
-        },
-      };
-      //# sourceMappingURL=Div_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Elu_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const eluGradConfig = {
-        kernelName: kernel_names["z" /* Elu */],
-        outputsToSave: [true],
-        gradFunc: (dy, saved) => {
-          const [y] = saved;
-          const backPropKernelFunc = (backend) => {
-            return backend.eluDer(dy, y);
-          };
-          const inputs = { dy, y };
-          return {
-            x: () =>
-              engine["a" /* ENGINE */].runKernelFunc(
-                backPropKernelFunc,
-                inputs,
-                null /* grad */,
-                kernel_names["A" /* EluGrad */]
-              ),
-          };
-        },
-      };
-      //# sourceMappingURL=Elu_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/FloorDiv_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const floorDivGradConfig = {
-        kernelName: kernel_names["D" /* FloorDiv */],
-        inputsToSave: ["a", "b"],
-        gradFunc: (dy, saved) => {
-          const [a, b] = saved;
-          const outShape = assertAndGetBroadcastShape(a.shape, b.shape);
-          const derA = () => {
-            const res = dy.div(b.toFloat());
-            const reduceAxes = getReductionAxes(a.shape, outShape);
-            if (reduceAxes.length > 0) {
-              return res.sum(reduceAxes).reshape(a.shape);
-            }
-            return res;
-          };
-          const derB = () => {
-            let res = dy.mul(a.toFloat());
-            const reduceAxes = getReductionAxes(b.shape, outShape);
-            if (reduceAxes.length > 0) {
-              res = res.sum(reduceAxes).reshape(b.shape);
-            }
-            const tmp = b.square();
-            return res.div(tmp.toFloat()).neg();
-          };
-          return { a: derA, b: derB };
-        },
-      };
-      //# sourceMappingURL=FloorDiv_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/sub.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Subtracts two `tf.Tensor`s element-wise, A - B. Supports broadcasting.
-       *
-       * ```js
-       * const a = tf.tensor1d([10, 20, 30, 40]);
-       * const b = tf.tensor1d([1, 2, 3, 4]);
-       *
-       * a.sub(b).print();  // or tf.sub(a, b)
-       * ```
-       *
-       * ```js
-       * // Broadcast subtract a with b.
-       * const a = tf.tensor1d([10, 20, 30, 40]);
-       * const b = tf.scalar(5);
-       *
-       * a.sub(b).print();  // or tf.sub(a, b)
-       * ```
-       * @param a The first `tf.Tensor` to subtract from.
-       * @param b The second `tf.Tensor` to be subtracted. Must have the same dtype as
-       * `a`.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Arithmetic'} */
-      function sub_(a, b) {
-        let $a = Object(tensor_util_env["a" /* convertToTensor */])(a, "a", "sub");
-        let $b = Object(tensor_util_env["a" /* convertToTensor */])(b, "b", "sub");
-        [$a, $b] = Object(tensor_util["makeTypesMatch"])($a, $b);
-        const forward = (backend, save) => {
-          const res = backend.subtract($a, $b);
-          save([$a, $b]);
-          return res;
-        };
-        const inputs = { a: $a, b: $b };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* grad */,
-          kernel_names["qb" /* Sub */]
-        );
-      }
-      const sub = Object(operation["a" /* op */])({ sub_ });
-      //# sourceMappingURL=sub.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/tile.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Construct a tensor by repeating it the number of times given by reps.
-       *
-       * This operation creates a new tensor by replicating `input` `reps`
-       * times. The output tensor's i'th dimension has `input.shape[i] *
-       * reps[i]` elements, and the values of `input` are replicated
-       * `reps[i]` times along the i'th dimension. For example, tiling
-       * `[a, b, c, d]` by `[2]` produces `[a, b, c, d, a, b, c, d]`.
-       *
-       * ```js
-       * const a = tf.tensor1d([1, 2]);
-       *
-       * a.tile([2]).print();    // or a.tile([2])
-       * ```
-       *
-       * ```js
-       * const a = tf.tensor2d([1, 2, 3, 4], [2, 2]);
-       *
-       * a.tile([1, 2]).print();  // or a.tile([1, 2])
-       * ```
-       * @param x The tensor to tile.
-       * @param reps Determines the number of replications per dimension.
-       */
-      /** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */
-      function tile_(x, reps) {
-        const parseAs = null;
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "tile", parseAs);
-        util["assert"](
-          $x.rank === reps.length,
-          () =>
-            `Error in transpose: rank of input ${$x.rank} ` + `must match length of reps ${reps}.`
-        );
-        const forward = (backend, save) => {
-          const res = backend.tile($x, reps);
-          save([$x]);
-          return res;
-        };
-        const inputsToSave = [$x];
-        const inputs = { x: $x };
-        const attrs = { reps };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* grad */,
-          kernel_names["rb" /* Tile */],
-          attrs,
-          inputsToSave
-        );
-      }
-      const tile = Object(operation["a" /* op */])({ tile_ });
-      //# sourceMappingURL=tile.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/FusedBatchNorm_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const fusedBatchNormGradConfig = {
-        kernelName: kernel_names["F" /* FusedBatchNorm */],
-        inputsToSave: ["x", "mean", "variance", "scale"],
-        gradFunc: (dy, saved, attrs) => {
-          const { varianceEpsilon } = attrs;
-          const [x, mean, variance, scale] = saved;
-          const scaleValue = scale == null ? Object(tensor_ops["e" /* scalar */])(1) : scale;
-          const reductionAxes = getReductionAxes(mean.shape, x.shape);
-          const tileShape = [];
-          if (mean.rank === 1) {
-            for (let i = 0; i < x.shape.length - 1; ++i) {
-              tileShape.push(x.shape[i]);
-            }
-            tileShape.push(1);
-          }
-          const xMinusMean = sub(x, mean);
-          const dyTimesScaleValue = mul(dy, scaleValue);
-          const oneOverSqrtVariance = rsqrt(
-            add(variance, Object(tensor_ops["e" /* scalar */])(varianceEpsilon))
-          );
-          const minusHalfRCube = mul(
-            mul(mul(oneOverSqrtVariance, oneOverSqrtVariance), oneOverSqrtVariance),
-            Object(tensor_ops["e" /* scalar */])(-0.5)
-          );
-          const derX = () => {
-            if (mean.rank === 1) {
-              return reshape(
-                mul(
-                  mul(dy, tile(oneOverSqrtVariance.as4D(1, 1, 1, mean.shape[0]), tileShape)),
-                  scaleValue
-                ),
-                x.shape
-              );
-            } else {
-              return reshape(mul(mul(dy, oneOverSqrtVariance), scaleValue), x.shape);
-            }
-          };
-          const derMean = () => {
-            let meanDer = mul(
-              mul(oneOverSqrtVariance, Object(tensor_ops["e" /* scalar */])(-1)),
-              dyTimesScaleValue
-            );
-            if (mean.rank === 1) {
-              meanDer = sum(meanDer, reductionAxes);
-            }
-            return reshape(meanDer, mean.shape);
-          };
-          const derVariance = () => {
-            let varianceDer = mul(mul(minusHalfRCube, xMinusMean), dyTimesScaleValue);
-            if (mean.rank === 1) {
-              varianceDer = sum(varianceDer, reductionAxes);
-            }
-            return reshape(varianceDer, mean.shape);
-          };
-          const derScale = () => {
-            const xMinusMean2TimesRsqrt = mul(xMinusMean, oneOverSqrtVariance);
-            let scaleDer = mul(dy, xMinusMean2TimesRsqrt);
-            if (mean.rank === 1) {
-              scaleDer = sum(scaleDer, reductionAxes);
-            }
-            return reshape(scaleDer, mean.shape);
-          };
-          const derOffset = () => {
-            let offsetDer = dy;
-            if (mean.rank === 1) {
-              offsetDer = sum(offsetDer, reductionAxes);
-            }
-            return reshape(offsetDer, mean.shape);
-          };
-          return {
-            x: derX,
-            mean: derMean,
-            variance: derVariance,
-            scale: derScale,
-            offset: derOffset,
-          };
-        },
-      };
-      //# sourceMappingURL=FusedBatchNorm_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/GreaterEqual_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const greaterEqualGradConfig = {
-        kernelName: kernel_names["I" /* GreaterEqual */],
-        inputsToSave: ["a", "b"],
-        gradFunc: (dy, saved) => {
-          const [a, b] = saved;
-          return {
-            a: () => Object(tensor_ops["o" /* zerosLike */])(a),
-            b: () => Object(tensor_ops["o" /* zerosLike */])(b),
-          };
-        },
-      };
-      //# sourceMappingURL=GreaterEqual_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Identity_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const identityGradConfig = {
-        kernelName: kernel_names["J" /* Identity */],
-        gradFunc: (dy) => {
-          return { x: () => dy.toFloat() };
-        },
-      };
-      //# sourceMappingURL=Identity_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/local_response_normalization_backprop.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      function localResponseNormalizationBackprop_(
-        x,
-        y,
-        dy,
-        depthRadius = 5,
-        bias = 1,
-        alpha = 1,
-        beta = 0.5
-      ) {
-        const forward = (backend) => backend.LRNGrad(dy, x, y, depthRadius, bias, alpha, beta);
-        const inputs = { x, y, dy };
-        const attrs = { depthRadius, bias, alpha, beta };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* grad */,
-          kernel_names["M" /* LRNBackprop */],
-          attrs
-        );
-      }
-      const localResponseNormalizationBackprop = Object(operation["a" /* op */])({
-        localResponseNormalizationBackprop_,
-      });
-      //# sourceMappingURL=local_response_normalization_backprop.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/LRN_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const lrnGradConfig = {
-        kernelName: kernel_names["L" /* LRN */],
-        inputsToSave: ["x"],
-        outputsToSave: [true],
-        gradFunc: (dy, saved, attrs) => {
-          const [x, y] = saved;
-          const { depthRadius, bias, alpha, beta } = attrs;
-          return {
-            x: () => localResponseNormalizationBackprop(x, y, dy, depthRadius, bias, alpha, beta),
-          };
-        },
-      };
-      //# sourceMappingURL=LRN_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Max_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const maxGradConfig = {
-        kernelName: kernel_names["P" /* Max */],
-        inputsToSave: ["x"],
-        outputsToSave: [true],
-        gradFunc: (dy, saved, attrs) => {
-          const maxAttrs = attrs;
-          const { reductionIndices } = maxAttrs;
-          const [x, y] = saved;
-          const origAxes = util["parseAxisParam"](reductionIndices, x.shape);
-          const permutedAxes = getAxesPermutation(origAxes, x.rank);
-          const maxGrad = gradForMinAndMax(dy, y, x, origAxes, permutedAxes);
-          return {
-            x: () => {
-              let out = maxGrad["x"]();
-              if (permutedAxes != null) {
-                out = transpose(out);
-              }
-              return out;
-            },
-          };
-        },
-      };
-      //# sourceMappingURL=Max_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/greater_equal.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Returns the truth value of (a >= b) element-wise. Supports broadcasting.
-       *
-       * ```js
-       * const a = tf.tensor1d([1, 2, 3]);
-       * const b = tf.tensor1d([2, 2, 2]);
-       *
-       * a.greaterEqual(b).print();
-       * ```
-       *
-       * @param a The first input tensor.
-       * @param b The second input tensor. Must have the same dtype as `a`.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Logical'} */
-      function greaterEqual_(a, b) {
-        let $a = Object(tensor_util_env["a" /* convertToTensor */])(a, "a", "greaterEqual");
-        let $b = Object(tensor_util_env["a" /* convertToTensor */])(b, "b", "greaterEqual");
-        [$a, $b] = Object(tensor_util["makeTypesMatch"])($a, $b);
-        assertAndGetBroadcastShape($a.shape, $b.shape);
-        const forward = (backend, save) => {
-          const res = backend.greaterEqual($a, $b);
-          save([$a, $b]);
-          return res;
-        };
-        const inputs = { a: $a, b: $b };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* grad */,
-          kernel_names["I" /* GreaterEqual */]
-        );
-      }
-      const greaterEqual = Object(operation["a" /* op */])({ greaterEqual_ });
-      //# sourceMappingURL=greater_equal.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/less.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Returns the truth value of (a < b) element-wise. Supports broadcasting.
-       *
-       * ```js
-       * const a = tf.tensor1d([1, 2, 3]);
-       * const b = tf.tensor1d([2, 2, 2]);
-       *
-       * a.less(b).print();
-       * ```
-       * @param a The first input tensor.
-       * @param b The second input tensor. Must have the same dtype as `a`.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Logical'} */
-      function less_(a, b) {
-        let $a = Object(tensor_util_env["a" /* convertToTensor */])(a, "a", "less");
-        let $b = Object(tensor_util_env["a" /* convertToTensor */])(b, "b", "less");
-        [$a, $b] = Object(tensor_util["makeTypesMatch"])($a, $b);
-        assertAndGetBroadcastShape($a.shape, $b.shape);
-        const forward = (backend) => backend.less($a, $b);
-        const inputs = { a: $a, b: $b };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* grad */,
-          kernel_names["N" /* Less */]
-        );
-      }
-      const less = Object(operation["a" /* op */])({ less_ });
-      //# sourceMappingURL=less.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Maximum_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const maximumGradConfig = {
-        kernelName: kernel_names["V" /* Maximum */],
-        inputsToSave: ["a", "b"],
-        gradFunc: (dy, saved) => {
-          const [a, b] = saved;
-          const derA = () => mul(dy, cast(greaterEqual(a, b), "float32"));
-          const derB = () => mul(dy, cast(less(a, b), "float32"));
-          return { a: derA, b: derB };
-        },
-      };
-      //# sourceMappingURL=Maximum_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/max_pool_3d_backprop.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Computes the backprop of a 3d max pool.
-       *
-       * @param dy The dy error, of rank 5 of shape
-       *     [batchSize, depth, height, width, channels].
-       * assumed.
-       * @param input The original input image, of rank 5 or rank 4 of shape
-       *     [batchSize, depth, height, width, channels].
-       * @param output The original output image, of rank 5 of shape
-       *     [batchSize, outDepth, outHeight, outWidth, channels].
-       * @param filterSize The filter size:
-       *     `[filterDepth, filterHeight, filterWidth]`.
-       *     `filterSize` is a single number,
-       *     then `filterDepth == filterHeight == filterWidth`.
-       * @param strides The strides of the pooling:
-       *     `[strideDepth, strideHeight, strideWidth]`. If
-       *     `strides` is a single number, then `strideHeight == strideWidth`.
-       * @param dilations Deprecated, this field will be gone in v3.0.0.
-       *     The dilation rates: `[dilationDepth, dilationHeight, dilationWidth]`
-       *     in which we sample input values across the depth, height and width
-       *     dimensions in dilated pooling.
-       *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,
-       *     then `dilationDepth == dilationHeight == dilationWidth`.
-       *     If it is greater than 1, then all values of `strides` must be 1.
-       * @param pad A string from: 'same', 'valid'. The type of padding algorithm
-       *     used in the forward prop of the op.
-       * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The
-       *     rounding mode used when computing output dimensions if pad is a
-       *     number. If none is provided, it will not round and error if the output
-       *     is of fractional size.
-       */
-      function maxPool3dBackprop_(
-        dy,
-        input,
-        output,
-        filterSize,
-        strides,
-        dilations = [1, 1, 1],
-        pad,
-        dimRoundingMode
-      ) {
-        const $dy = Object(tensor_util_env["a" /* convertToTensor */])(
-          dy,
-          "dy",
-          "maxPool3dBackprop"
-        );
-        const $input = Object(tensor_util_env["a" /* convertToTensor */])(
-          input,
-          "input",
-          "maxPool3dBackprop"
-        );
-        const $output = Object(tensor_util_env["a" /* convertToTensor */])(
-          output,
-          "output",
-          "maxPool3dBackprop"
-        );
-        let dy5D = $dy;
-        let input5D = $input;
-        let output5D = $output;
-        let reshapedTo5D = false;
-        if ($input.rank === 4) {
-          reshapedTo5D = true;
-          dy5D = reshape($dy, [1, $dy.shape[0], $dy.shape[1], $dy.shape[2], $dy.shape[3]]);
-          input5D = reshape($input, [
-            1,
-            $input.shape[0],
-            $input.shape[1],
-            $input.shape[2],
-            $input.shape[3],
-          ]);
-          output5D = reshape($output, [
-            1,
-            $output.shape[0],
-            $output.shape[1],
-            $output.shape[2],
-            $output.shape[3],
-          ]);
-        }
-        util["assert"](
-          dy5D.rank === 5,
-          () => `Error in maxPool3dBackprop: dy must be rank 5 but got rank ` + `${dy5D.rank}.`
-        );
-        util["assert"](
-          input5D.rank === 5,
-          () =>
-            `Error in maxPool3dBackprop: input must be rank 5 but got rank ` + `${input5D.rank}.`
-        );
-        util["assert"](
-          output5D.rank === 5,
-          () =>
-            `Error in maxPool3dBackprop: output must be rank 5 but got rank ` + `${output5D.rank}.`
-        );
-        util["assert"](
-          eitherStridesOrDilationsAreOne(strides, dilations),
-          () =>
-            "Error in maxPool3dBackprop: Either strides or dilations " +
-            `must be 1. Got strides ${strides} and dilations '${dilations}'`
-        );
-        if (dimRoundingMode != null) {
-          util["assert"](
-            util["isInt"](pad),
-            () =>
-              `Error in maxPool3dBackprop: pad must be an integer when ` +
-              `using, dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`
-          );
-        }
-        const forward = (backend) => {
-          const convInfo = computePool3DInfo(
-            input5D.shape,
-            filterSize,
-            strides,
-            dilations,
-            pad,
-            dimRoundingMode
-          );
-          return backend.maxPool3dBackprop(dy5D, input5D, output5D, convInfo);
-        };
-        const inputs = { dy: dy5D, input: input5D, output: output5D };
-        const attrs = { filterSize, strides, dilations, pad, dimRoundingMode };
-        const res = engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* grad */,
-          kernel_names["S" /* MaxPool3DBackprop */],
-          attrs
-        );
-        if (reshapedTo5D) {
-          return reshape(res, [res.shape[1], res.shape[2], res.shape[3], res.shape[4]]);
-        }
-        return res;
-      }
-      const maxPool3dBackprop = Object(operation["a" /* op */])({ maxPool3dBackprop_ });
-      //# sourceMappingURL=max_pool_3d_backprop.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/MaxPool3D_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const maxPool3DGradConfig = {
-        kernelName: kernel_names["R" /* MaxPool3D */],
-        inputsToSave: ["x"],
-        outputsToSave: [true],
-        gradFunc: (dy, saved, attrs) => {
-          const [x, y] = saved;
-          const { filterSize, strides, dilations, pad, dimRoundingMode } = attrs;
-          const $dilations = dilations == null ? [1, 1, 1] : dilations;
-          return {
-            x: () =>
-              maxPool3dBackprop(dy, x, y, filterSize, strides, $dilations, pad, dimRoundingMode),
-          };
-        },
-      };
-      //# sourceMappingURL=MaxPool3D_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/max_pool_backprop.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Computes the backprop of a 2D max pool.
-       *
-       * @param dy The dy error, of rank 4 or rank 3 of shape
-       *     [batchSize, height, width, channels]. If rank 3, batch of 1 is
-       * assumed.
-       * @param input The original input image, of rank 4, of shape
-       *     [batchSize, height, width, channels].
-       * @param output The original output image, of rank 4, of shape
-       *     [batchSize, outHeight, outWidth, channels].
-       * @param filterSize The filter size: `[filterHeight, filterWidth]`. If
-       *     `filterSize` is a single number, then `filterHeight == filterWidth`.
-       * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If
-       *     `strides` is a single number, then `strideHeight == strideWidth`.
-       * @param pad A string from: 'same', 'valid'. The type of padding algorithm
-       *     used in the forward prop of the op.
-       * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The
-       *     rounding mode used when computing output dimensions if pad is a
-       *     number. If none is provided, it will not round and error if the output
-       *     is of fractional size.
-       */
-      function maxPoolBackprop_(dy, input, output, filterSize, strides, pad, dimRoundingMode) {
-        const $dy = Object(tensor_util_env["a" /* convertToTensor */])(dy, "dy", "maxPoolBackprop");
-        const $input = Object(tensor_util_env["a" /* convertToTensor */])(
-          input,
-          "input",
-          "maxPoolBackprop"
-        );
-        const $output = Object(tensor_util_env["a" /* convertToTensor */])(
-          output,
-          "output",
-          "maxPoolBackprop"
-        );
-        util["assert"](
-          $input.rank === $dy.rank,
-          () => `Rank of input (${$input.rank}) does not match rank of dy ` + `(${$dy.rank})`
-        );
-        util["assert"](
-          $dy.rank === 4,
-          () => `Error in maxPoolBackprop: dy must be rank 4 but got rank ` + `${$dy.rank}.`
-        );
-        util["assert"](
-          $input.rank === 4,
-          () => `Error in maxPoolBackprop: input must be rank 4 but got rank ` + `${$input.rank}.`
-        );
-        if (dimRoundingMode != null) {
-          util["assert"](
-            util["isInt"](pad),
-            () =>
-              `Error in maxPoolBackprop: pad must be an integer when using, ` +
-              `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`
-          );
-        }
-        const forward = (backend) => {
-          const convInfo = computePool2DInfo(
-            $input.shape,
-            filterSize,
-            strides,
-            1 /* dilations */,
-            pad,
-            dimRoundingMode
-          );
-          return backend.maxPoolBackprop($dy, $input, $output, convInfo);
-        };
-        const inputs = { dy: $dy, input: $input, output: $output };
-        const attrs = { filterSize, strides, pad, dimRoundingMode };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null,
-          kernel_names["T" /* MaxPoolBackprop */],
-          attrs
-        );
-      }
-      const maxPoolBackprop = Object(operation["a" /* op */])({ maxPoolBackprop_ });
-      //# sourceMappingURL=max_pool_backprop.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/MaxPool_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const maxPoolGradConfig = {
-        kernelName: kernel_names["Q" /* MaxPool */],
-        inputsToSave: ["x"],
-        outputsToSave: [true],
-        gradFunc: (dy, saved, attrs) => {
-          const [x, y] = saved;
-          const { filterSize, strides, pad } = attrs;
-          return {
-            x: () => maxPoolBackprop(dy, x, y, filterSize, strides, pad),
-          };
-        },
-      };
-      //# sourceMappingURL=MaxPool_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/greater.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Returns the truth value of (a > b) element-wise. Supports broadcasting.
-       *
-       * ```js
-       * const a = tf.tensor1d([1, 2, 3]);
-       * const b = tf.tensor1d([2, 2, 2]);
-       *
-       * a.greater(b).print();
-       * ```
-       *
-       * @param a The first input tensor.
-       * @param b The second input tensor. Must have the same dtype as `a`.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Logical'} */
-      function greater_(a, b) {
-        let $a = Object(tensor_util_env["a" /* convertToTensor */])(a, "a", "greater");
-        let $b = Object(tensor_util_env["a" /* convertToTensor */])(b, "b", "greater");
-        [$a, $b] = Object(tensor_util["makeTypesMatch"])($a, $b);
-        assertAndGetBroadcastShape($a.shape, $b.shape);
-        const forward = (backend) => backend.greater($a, $b);
-        const inputs = { a: $a, b: $b };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* grad */,
-          kernel_names["H" /* Greater */]
-        );
-      }
-      const greater = Object(operation["a" /* op */])({ greater_ });
-      //# sourceMappingURL=greater.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/less_equal.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Returns the truth value of (a <= b) element-wise. Supports broadcasting.
-       *
-       * ```js
-       * const a = tf.tensor1d([1, 2, 3]);
-       * const b = tf.tensor1d([2, 2, 2]);
-       *
-       * a.lessEqual(b).print();
-       * ```
-       *
-       * @param a The first input tensor.
-       * @param b The second input tensor. Must have the same dtype as `a`.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Logical'} */
-      function lessEqual_(a, b) {
-        let $a = Object(tensor_util_env["a" /* convertToTensor */])(a, "a", "lessEqual");
-        let $b = Object(tensor_util_env["a" /* convertToTensor */])(b, "b", "lessEqual");
-        [$a, $b] = Object(tensor_util["makeTypesMatch"])($a, $b);
-        assertAndGetBroadcastShape($a.shape, $b.shape);
-        const forward = (backend, save) => {
-          const res = backend.lessEqual($a, $b);
-          save([$a, $b]);
-          return res;
-        };
-        const inputs = { a: $a, b: $b };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* grad */,
-          kernel_names["O" /* LessEqual */]
-        );
-      }
-      const lessEqual = Object(operation["a" /* op */])({ lessEqual_ });
-      //# sourceMappingURL=less_equal.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Minimum_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const minimumGradConfig = {
-        kernelName: kernel_names["W" /* Minimum */],
-        inputsToSave: ["a", "b"],
-        gradFunc: (dy, saved) => {
-          const [a, b] = saved;
-          const derA = () => mul(dy, cast(lessEqual(a, b), "float32"));
-          const derB = () => mul(dy, cast(greater(a, b), "float32"));
-          return { a: derA, b: derB };
-        },
-      };
-      //# sourceMappingURL=Minimum_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Mod_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const modGradConfig = {
-        kernelName: kernel_names["X" /* Mod */],
-        inputsToSave: ["a", "b"],
-        gradFunc: (dy, saved) => {
-          const [a, b] = saved;
-          const outShape = assertAndGetBroadcastShape(a.shape, b.shape);
-          const derA = () => {
-            const reduceAxes = getReductionAxes(a.shape, outShape);
-            if (reduceAxes.length > 0) {
-              return reshape(sum(dy, reduceAxes), a.shape);
-            }
-            return dy;
-          };
-          const derB = () => {
-            const res = mul(dy, neg(floor(div(a, b))));
-            const reduceAxes = getReductionAxes(b.shape, outShape);
-            if (reduceAxes.length > 0) {
-              return reshape(sum(res, reduceAxes), b.shape);
-            }
-            return res;
-          };
-          return { a: derA, b: derB };
-        },
-      };
-      //# sourceMappingURL=Mod_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Multiply_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const multiplyGradConfig = {
-        kernelName: kernel_names["Y" /* Multiply */],
-        inputsToSave: ["a", "b"],
-        gradFunc: (dy, saved) => {
-          const [a, b] = saved;
-          const outShape = assertAndGetBroadcastShape(a.shape, b.shape);
-          const derA = () => {
-            const res = mul(dy, cast(b, "float32"));
-            const reduceAxes = getReductionAxes(a.shape, outShape);
-            if (reduceAxes.length > 0) {
-              return reshape(sum(res, reduceAxes), a.shape);
-            }
-            return res;
-          };
-          const derB = () => {
-            const res = mul(dy, cast(a, "float32"));
-            const reduceAxes = getReductionAxes(b.shape, outShape);
-            if (reduceAxes.length > 0) {
-              return reshape(sum(res, reduceAxes), b.shape);
-            }
-            return res;
-          };
-          return { a: derA, b: derB };
-        },
-      };
-      //# sourceMappingURL=Multiply_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/OneHot_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const oneHotGradConfig = {
-        kernelName: kernel_names["cb" /* OneHot */],
-        inputsToSave: ["indices"],
-        gradFunc: (dy, saved) => {
-          const indices = saved[0];
-          return { indices: () => Object(tensor_ops["n" /* zeros */])(indices.shape, "float32") };
-        },
-      };
-      //# sourceMappingURL=OneHot_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/PadV2_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const padV2GradConfig = {
-        kernelName: kernel_names["db" /* PadV2 */],
-        inputsToSave: ["x"],
-        gradFunc: (dy, saved, attrs) => {
-          // Pad introduces values around the original tensor, so the gradient
-          // slices the original shape out of the gradient.
-          const x = saved[0];
-          const { paddings } = attrs;
-          const begin = paddings.map((p) => p[0]);
-          return { x: () => dy.slice(begin, x.shape) };
-        },
-      };
-      //# sourceMappingURL=PadV2_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/backends/where_impl.js
-      /**
-       * @license
-       * Copyright 2018 Google LLC. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-      /** An implementation of the Where kernel shared between cpu and webgl */
-
-      function whereImpl(condShape, condVals) {
-        const indices = [];
-        for (let i = 0; i < condVals.length; i++) {
-          if (condVals[i]) {
-            indices.push(i);
-          }
-        }
-        const inBuffer = array_ops_buffer(condShape, "int32");
-        const out = array_ops_buffer([indices.length, condShape.length], "int32");
-        for (let i = 0; i < indices.length; i++) {
-          const loc = inBuffer.indexToLoc(indices[i]);
-          const offset = i * condShape.length;
-          out.values.set(loc, offset);
-        }
-        return out.toTensor();
-      }
-      //# sourceMappingURL=where_impl.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/logical_ops.js
-      /**
-       * @license
-       * Copyright 2018 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Returns the truth value of `NOT x` element-wise.
-       *
-       * ```js
-       * const a = tf.tensor1d([false, true], 'bool');
-       *
-       * a.logicalNot().print();
-       * ```
-       *
-       * @param x The input tensor. Must be of dtype 'bool'.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Logical'} */
-      function logicalNot_(x) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "logicalNot", "bool");
-        return engine["a" /* ENGINE */].runKernelFunc((backend) => backend.logicalNot($x), { $x });
-      }
-      /**
-       * Returns the truth value of `a AND b` element-wise. Supports broadcasting.
-       *
-       * ```js
-       * const a = tf.tensor1d([false, false, true, true], 'bool');
-       * const b = tf.tensor1d([false, true, false, true], 'bool');
-       *
-       * a.logicalAnd(b).print();
-       * ```
-       *
-       * @param a The first input tensor. Must be of dtype bool.
-       * @param b The second input tensor. Must be of dtype bool.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Logical'} */
-      function logicalAnd_(a, b) {
-        const $a = Object(tensor_util_env["a" /* convertToTensor */])(a, "a", "logicalAnd", "bool");
-        const $b = Object(tensor_util_env["a" /* convertToTensor */])(b, "b", "logicalAnd", "bool");
-        assertAndGetBroadcastShape($a.shape, $b.shape);
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend) => backend.logicalAnd($a, $b),
-          { a: $a, b: $b },
-          null /* grad */,
-          "LogicalAnd"
-        );
-      }
-      /**
-       * Returns the truth value of `a OR b` element-wise. Supports broadcasting.
-       *
-       * ```js
-       * const a = tf.tensor1d([false, false, true, true], 'bool');
-       * const b = tf.tensor1d([false, true, false, true], 'bool');
-       *
-       * a.logicalOr(b).print();
-       * ```
-       * @param a The first input tensor. Must be of dtype bool.
-       * @param b The second input tensor. Must be of dtype bool.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Logical'} */
-      function logicalOr_(a, b) {
-        const $a = Object(tensor_util_env["a" /* convertToTensor */])(a, "a", "logicalOr", "bool");
-        const $b = Object(tensor_util_env["a" /* convertToTensor */])(b, "b", "logicalOr", "bool");
-        assertAndGetBroadcastShape($a.shape, $b.shape);
-        return engine["a" /* ENGINE */].runKernelFunc((backend) => backend.logicalOr($a, $b), {
-          $a,
-          $b,
-        });
-      }
-      /**
-       * Returns the truth value of `a XOR b` element-wise. Supports broadcasting.
-       *
-       * ```js
-       * const a = tf.tensor1d([false, false, true, true], 'bool');
-       * const b = tf.tensor1d([false, true, false, true], 'bool');
-       *
-       * a.logicalXor(b).print();
-       * ```
-       *
-       * @param a The first input tensor. Must be of dtype bool.
-       * @param b The second input tensor. Must be of dtype bool.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Logical'} */
-      function logicalXor_(a, b) {
-        const $a = Object(tensor_util_env["a" /* convertToTensor */])(a, "a", "logicalXor", "bool");
-        const $b = Object(tensor_util_env["a" /* convertToTensor */])(b, "b", "logicalXor", "bool");
-        assertAndGetBroadcastShape($a.shape, $b.shape);
-        // x ^ y = (x | y) & ~(x & y)
-        return logicalOr(a, b).logicalAnd(logicalAnd(a, b).logicalNot());
-      }
-      /**
-       * Returns the elements, either `a` or `b` depending on the `condition`.
-       *
-       * If the condition is true, select from `a`, otherwise select from `b`.
-       *
-       * ```js
-       * const cond = tf.tensor1d([false, false, true], 'bool');
-       * const a = tf.tensor1d([1 , 2, 3]);
-       * const b = tf.tensor1d([-1, -2, -3]);
-       *
-       * a.where(cond, b).print();
-       * ```
-       *
-       * @param condition The input condition. Must be of dtype bool.
-       * @param a If `condition` is rank 1, `a` may have a higher rank but
-       *     its first dimension must match the size of `condition`.
-       * @param b A tensor with the same shape and type as `a`.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Logical'} */
-      function where_(condition, a, b) {
-        const $a = Object(tensor_util_env["a" /* convertToTensor */])(a, "a", "where");
-        const $b = Object(tensor_util_env["a" /* convertToTensor */])(b, "b", "where");
-        const $condition = Object(tensor_util_env["a" /* convertToTensor */])(
-          condition,
-          "condition",
-          "where",
-          "bool"
-        );
-        Object(util["assertShapesMatch"])($a.shape, $b.shape, "Error in where: ");
-        if ($condition.rank === 1) {
-          // If condition rank is 1, then the first dimension must match the size of
-          // condition.
-          Object(util["assert"])(
-            $condition.shape[0] === $a.shape[0],
-            () => "The first dimension of `a` must match the size of `condition`."
-          );
-        } else {
-          // A must have the same shape as condition.
-          Object(util["assertShapesMatch"])($condition.shape, $b.shape, "Error in where: ");
-        }
-        // TODO(julianoks): Return null for condition gradient
-        // when backprop supports it.
-        const grad = (dy, saved) => {
-          const [$condition] = saved;
-          return {
-            condition: () => Object(tensor_ops["o" /* zerosLike */])($condition).toFloat(),
-            t: () => dy.mul($condition.cast(dy.dtype)),
-            e: () => dy.mul($condition.logicalNot().cast(dy.dtype)),
-          };
-        };
-        const inputs = { condition: $condition, t: $a, e: $b };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend, save) => {
-            const res = backend.select($condition, $a, $b);
-            save([$condition]);
-            return res;
-          },
-          inputs,
-          grad,
-          kernel_names["kb" /* SelectV2 */]
-        );
-      }
-      /**
-       * Returns the coordinates of true elements of condition.
-       *
-       * The coordinates are returned in a 2-D tensor where the first dimension (rows)
-       * represents the number of true elements, and the second dimension (columns)
-       * represents the coordinates of the true elements. Keep in mind, the shape of
-       * the output tensor can vary depending on how many true values there are in
-       * input. Indices are output in row-major order. The resulting tensor has the
-       * shape `[numTrueElems, condition.rank]`.
-       *
-       * This is analogous to calling the python `tf.where(cond)` without an x or y.
-       *
-       * ```js
-       * const cond = tf.tensor1d([false, false, true], 'bool');
-       * const result = await tf.whereAsync(cond);
-       * result.print();
-       * ```
-       */
-      /** @doc {heading: 'Operations', subheading: 'Logical'} */
-      async function whereAsync_(condition) {
-        const $condition = Object(tensor_util_env["a" /* convertToTensor */])(
-          condition,
-          "condition",
-          "whereAsync",
-          "bool"
-        );
-        const vals = await $condition.data();
-        const res = whereImpl($condition.shape, vals);
-        if (condition !== $condition) {
-          $condition.dispose();
-        }
-        return res;
-      }
-      const logicalAnd = Object(operation["a" /* op */])({ logicalAnd_ });
-      const logicalNot = Object(operation["a" /* op */])({ logicalNot_ });
-      const logicalOr = Object(operation["a" /* op */])({ logicalOr_ });
-      const logicalXor = Object(operation["a" /* op */])({ logicalXor_ });
-      const where = Object(operation["a" /* op */])({ where_ });
-      const whereAsync = whereAsync_;
-      //# sourceMappingURL=logical_ops.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/pow.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Computes the power of one `tf.Tensor` to another. Supports broadcasting.
-       *
-       * Given a `tf.Tensor` x and a `tf.Tensor` y, this operation computes x^y for
-       * corresponding elements in x and y. The result's dtype will be the upcasted
-       * type of the `base` and `exp` dtypes.
-       *
-       * ```js
-       * const a = tf.tensor([[2, 3], [4, 5]])
-       * const b = tf.tensor([[1, 2], [3, 0]]).toInt();
-       *
-       * a.pow(b).print();  // or tf.pow(a, b)
-       * ```
-       *
-       * ```js
-       * const a = tf.tensor([[1, 2], [3, 4]])
-       * const b = tf.tensor(2).toInt();
-       *
-       * a.pow(b).print();  // or tf.pow(a, b)
-       * ```
-       * We also expose `powStrict` which has the same signature as this op and
-       * asserts that `base` and `exp` are the same shape (does not broadcast).
-       *
-       * @param base The base `tf.Tensor` to pow element-wise.
-       * @param exp The exponent `tf.Tensor` to pow element-wise.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Arithmetic'} */
-      function pow_(base, exp) {
-        let $base = Object(tensor_util_env["a" /* convertToTensor */])(base, "base", "pow");
-        let $exp = Object(tensor_util_env["a" /* convertToTensor */])(exp, "exp", "pow");
-        [$base, $exp] = Object(tensor_util["makeTypesMatch"])($base, $exp);
-        const inputs = { a: $base, b: $exp };
-        const forward = (backend, save) => {
-          const y = backend.pow($base, $exp);
-          save([$base, $exp, y]);
-          return y;
-        };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* gradient */,
-          kernel_names["fb" /* Pow */]
-        );
-      }
-      const pow = Object(operation["a" /* op */])({ pow_ });
-      //# sourceMappingURL=pow.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Pow_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const powGradConfig = {
-        kernelName: kernel_names["fb" /* Pow */],
-        inputsToSave: ["a", "b"],
-        outputsToSave: [true],
-        gradFunc: (dy, saved) => {
-          const [a, b, y] = saved;
-          const base = a;
-          const exp = b;
-          const outShape = assertAndGetBroadcastShape(base.shape, exp.shape);
-          const derBase = () => {
-            const expFloat = cast(exp, "float32");
-            let res = mul(
-              dy,
-              mul(expFloat, pow(base, sub(expFloat, Object(tensor_ops["e" /* scalar */])(1))))
-            );
-            const reduceAxes = getReductionAxes(base.shape, outShape);
-            if (reduceAxes.length > 0) {
-              res = sum(res, reduceAxes);
-            }
-            return reshape(res, base.shape);
-          };
-          const derExp = () => {
-            const condition = greater(base, 0);
-            const logBase = where(
-              condition,
-              log(base),
-              Object(tensor_ops["o" /* zerosLike */])(base)
-            );
-            let res = mul(dy, mul(y, logBase));
-            const reduceAxes = getReductionAxes(exp.shape, outShape);
-            if (reduceAxes.length > 0) {
-              res = sum(res, reduceAxes);
-            }
-            return reshape(res, exp.shape);
-          };
-          return { a: derBase, b: derExp };
-        },
-      };
-      //# sourceMappingURL=Pow_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Prelu_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const preluGradConfig = {
-        kernelName: kernel_names["gb" /* Prelu */],
-        inputsToSave: ["x", "alpha"],
-        gradFunc: (dy, saved) => {
-          const [x, alpha] = saved;
-          const mask = greater(x, 0);
-          return {
-            x: () => where(mask, dy, mul(dy, alpha)),
-            alpha: () => {
-              let res = where(mask, Object(tensor_ops["o" /* zerosLike */])(dy), mul(dy, x));
-              const reduceAxes = getReductionAxes(alpha.shape, dy.shape);
-              if (reduceAxes.length > 0) {
-                res = sum(res, reduceAxes);
-              }
-              return reshape(res, alpha.shape);
-            },
-          };
-        },
-      };
-      //# sourceMappingURL=Prelu_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Relu6_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const relu6GradConfig = {
-        kernelName: kernel_names["jb" /* Relu6 */],
-        inputsToSave: ["x"],
-        gradFunc: (dy, saved) => {
-          const [x] = saved;
-          const mask = mul(lessEqual(x, 6), unary_ops_step(x));
-          return { x: () => mul(dy, cast(mask, "float32")) };
-        },
-      };
-      //# sourceMappingURL=Relu6_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Relu_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const reluGradConfig = {
-        kernelName: kernel_names["ib" /* Relu */],
-        inputsToSave: ["x"],
-        gradFunc: (dy, saved) => {
-          const [x] = saved;
-          return { x: () => mul(dy, cast(unary_ops_step(x), "float32")) };
-        },
-      };
-      //# sourceMappingURL=Relu_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/selu_util.js
-      /**
-       * @license
-       * Copyright 2018 Google LLC. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-      const SELU_SCALEALPHA = 1.7580993408473768599402175208123;
-      const SELU_SCALE = 1.0507009873554804934193349852946;
-      //# sourceMappingURL=selu_util.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Selu_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const seluGradConfig = {
-        kernelName: kernel_names["lb" /* Selu */],
-        inputsToSave: ["x"],
-        gradFunc: (dy, saved) => {
-          const [x] = saved;
-          return {
-            x: () => {
-              const mask = greater(x, Object(tensor_ops["e" /* scalar */])(0));
-              const scaleAlpha = Object(tensor_ops["e" /* scalar */])(SELU_SCALEALPHA);
-              const scale = Object(tensor_ops["e" /* scalar */])(SELU_SCALE);
-              const greaterThanZeroDer = mul(dy, scale);
-              const lessEqualZeroDer = mul(mul(dy, scaleAlpha), unary_ops_exp(cast(x, "float32")));
-              return where(mask, greaterThanZeroDer, lessEqualZeroDer);
-            },
-          };
-        },
-      };
-      //# sourceMappingURL=Selu_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/batch_to_space_nd.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * This operation reshapes the "batch" dimension 0 into `M + 1` dimensions of
-       * shape `blockShape + [batch]`, interleaves these blocks back into the grid
-       * defined by the spatial dimensions `[1, ..., M]`, to obtain a result with
-       * the same rank as the input. The spatial dimensions of this intermediate
-       * result are then optionally cropped according to `crops` to produce the
-       * output. This is the reverse of `tf.spaceToBatchND`. See below for a precise
-       * description.
-       *
-       * ```js
-       * const x = tf.tensor4d([1, 2, 3, 4], [4, 1, 1, 1]);
-       * const blockShape = [2, 2];
-       * const crops = [[0, 0], [0, 0]];
-       *
-       * x.batchToSpaceND(blockShape, crops).print();
-       * ```
-       *
-       * @param x A `tf.Tensor`. N-D with `x.shape` = `[batch] + spatialShape +
-       * remainingShape`, where spatialShape has `M` dimensions.
-       * @param blockShape A 1-D array. Must have shape `[M]`, all values must
-       * be >= 1.
-       * @param crops A 2-D array.  Must have shape `[M, 2]`, all values must be >= 0.
-       * `crops[i] = [cropStart, cropEnd]` specifies the amount to crop from input
-       * dimension `i + 1`, which corresponds to spatial dimension `i`. It is required
-       * that `cropStart[i] + cropEnd[i] <= blockShape[i] * inputShape[i + 1]`
-       *
-       * This operation is equivalent to the following steps:
-       *
-       * 1. Reshape `x` to `reshaped` of shape: `[blockShape[0], ...,
-       * blockShape[M-1], batch / prod(blockShape), x.shape[1], ...,
-       * x.shape[N-1]]`
-       *
-       * 2. Permute dimensions of `reshaped`to produce `permuted` of shape `[batch /
-       * prod(blockShape),x.shape[1], blockShape[0], ..., x.shape[M],
-       * blockShape[M-1],x.shape[M+1], ..., x.shape[N-1]]`
-       *
-       * 3. Reshape `permuted` to produce `reshapedPermuted` of shape `[batch /
-       * prod(blockShape),x.shape[1] * blockShape[0], ..., x.shape[M] *
-       * blockShape[M-1],x.shape[M+1], ..., x.shape[N-1]]`
-       *
-       * 4. Crop the start and end of dimensions `[1, ..., M]` of `reshapedPermuted`
-       * according to `crops` to produce the output of shape: `[batch /
-       * prod(blockShape),x.shape[1] * blockShape[0] - crops[0,0] - crops[0,1],
-       * ..., x.shape[M] * blockShape[M-1] - crops[M-1,0] -
-       * crops[M-1,1],x.shape[M+1], ..., x.shape[N-1]]`
-       */
-      /** @doc {heading: 'Tensors', subheading: 'Transformations'} */
-      function batchToSpaceND_(x, blockShape, crops) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "batchToSpaceND");
-        const prod = blockShape.reduce((a, b) => a * b);
-        util["assert"](
-          $x.rank >= 1 + blockShape.length,
-          () =>
-            `input rank is ${$x.rank} but should be > than blockShape.length ${blockShape.length}`
-        );
-        util["assert"](
-          crops.length === blockShape.length,
-          () =>
-            `crops.length is ${crops.length} but should be equal to blockShape.length  ${blockShape.length}`
-        );
-        util["assert"](
-          $x.shape[0] % prod === 0,
-          () =>
-            `input tensor batch is ${$x.shape[0]} but is not divisible by the product of ` +
-            `the elements of blockShape ${blockShape.join(" * ")} === ${prod}`
-        );
-        const forward = (backend) => {
-          return backend.batchToSpaceND($x, blockShape, crops);
-        };
-        const inputs = { x: $x };
-        const attrs = { blockShape, crops };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* gradient */,
-          kernel_names["i" /* BatchToSpaceND */],
-          attrs
-        );
-      }
-      const batchToSpaceND = Object(operation["a" /* op */])({ batchToSpaceND_ });
-      //# sourceMappingURL=batch_to_space_nd.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/SpaceToBatchND_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const spaceToBatchNDGradConfig = {
-        kernelName: kernel_names["mb" /* SpaceToBatchND */],
-        gradFunc: (dy, saved, attrs) => {
-          const { blockShape, paddings } = attrs;
-          return { x: () => batchToSpaceND(dy, blockShape, paddings) };
-        },
-      };
-      //# sourceMappingURL=SpaceToBatchND_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/SplitV_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const splitVGradConfig = {
-        kernelName: kernel_names["nb" /* SplitV */],
-        gradFunc: (dy, saved, attrs) => {
-          const { axis } = attrs;
-          return { x: () => concat(dy, axis) };
-        },
-      };
-      //# sourceMappingURL=SplitV_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Square_grad.js
-      /**
-       * @license
-       * Copyright 2019 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const squareGradConfig = {
-        kernelName: kernel_names["ob" /* Square */],
-        inputsToSave: ["x"],
-        gradFunc: (dy, saved) => {
-          const [x] = saved;
-          return { x: () => mul(dy, mul(x.toFloat(), 2)) };
-        },
-      };
-      //# sourceMappingURL=Square_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/SquaredDifference_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const squaredDifferenceGradConfig = {
-        kernelName: kernel_names["pb" /* SquaredDifference */],
-        inputsToSave: ["a", "b"],
-        gradFunc: (dy, saved) => {
-          const [a, b] = saved;
-          const two = Object(tensor_ops["e" /* scalar */])(2);
-          const derA = () => mul(dy, mul(two, sub(a, b)));
-          const derB = () => mul(dy, mul(two, sub(b, a)));
-          return { a: derA, b: derB };
-        },
-      };
-      //# sourceMappingURL=SquaredDifference_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Sub_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const subGradConfig = {
-        kernelName: kernel_names["qb" /* Sub */],
-        inputsToSave: ["a", "b"],
-        gradFunc: (dy, saved) => {
-          const [a, b] = saved;
-          const outShape = assertAndGetBroadcastShape(a.shape, b.shape);
-          const derA = () => {
-            let res = dy;
-            const reduceAxes = getReductionAxes(a.shape, outShape);
-            if (reduceAxes.length > 0) {
-              res = sum(res, reduceAxes);
-            }
-            return reshape(res, a.shape);
-          };
-          const derB = () => {
-            let res = dy;
-            const reduceAxes = getReductionAxes(b.shape, outShape);
-            if (reduceAxes.length > 0) {
-              res = sum(res, reduceAxes);
-            }
-            return reshape(neg(res), b.shape);
-          };
-          return { a: derA, b: derB };
-        },
-      };
-      //# sourceMappingURL=Sub_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/pad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Pads a `tf.Tensor` with a given value and paddings.
-       *
-       * This operation currently only implements the `CONSTANT` mode.
-       *
-       * Also available are stricter rank-specific methods with the same signature
-       * as this method that assert that `paddings` is of given length.
-       *   - `tf.pad1d`
-       *   - `tf.pad2d`
-       *   - `tf.pad3d`
-       *   - `tf.pad4d`
-       *
-       * ```js
-       * const x = tf.tensor1d([1, 2, 3, 4]);
-       * x.pad([[1, 2]]).print();
-       * ```
-       * @param x The tensor to pad.
-       * @param paddings An array of length `R` (the rank of the tensor), where
-       * each element is a length-2 tuple of ints `[padBefore, padAfter]`,
-       * specifying how much to pad along each dimension of the tensor.
-       * @param constantValue The pad value to use. Defaults to 0.
-       */
-      /** @doc {heading: 'Tensors', subheading: 'Transformations'} */
-      function pad_(x, paddings, constantValue = 0) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "pad");
-        if ($x.rank === 0) {
-          throw new Error("pad(scalar) is not defined. Pass non-scalar to pad");
-        }
-        const forward = (backend, save) => {
-          save([$x]);
-          return backend.pad($x, paddings, constantValue);
-        };
-        const attrs = { paddings, constantValue };
-        const inputs = { x: $x };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* grad */,
-          kernel_names["db" /* PadV2 */],
-          attrs
-        );
-      }
-      const pad_pad = Object(operation["a" /* op */])({ pad_ });
-      //# sourceMappingURL=pad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/slice_util.js
-      /**
-       * @license
-       * Copyright 2017 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      function assertParamsValid(input, begin, size) {
-        util["assert"](
-          input.rank === begin.length,
-          () =>
-            `Error in slice${input.rank}D: Length of begin ${begin} must ` +
-            `match the rank of the array (${input.rank}).`
-        );
-        util["assert"](
-          input.rank === size.length,
-          () =>
-            `Error in slice${input.rank}D: Length of size ${size} must ` +
-            `match the rank of the array (${input.rank}).`
-        );
-        for (let i = 0; i < input.rank; ++i) {
-          util["assert"](
-            begin[i] + size[i] <= input.shape[i],
-            () =>
-              `Error in slice${input.rank}D: begin[${i}] + size[${i}] ` +
-              `(${begin[i] + size[i]}) would overflow input.shape[${i}] (${input.shape[i]})`
-          );
-        }
-      }
-      /** Converts a binary mask to an array of axes. Used in stridedSlice(). */
-      function maskToAxes(mask) {
-        const axes = [];
-        let axis = 0;
-        while (mask > 0) {
-          if (mask & 1) {
-            axes.push(axis);
-          }
-          mask /= 2;
-          axis++;
-        }
-        return axes;
-      }
-      /** Computes the output shape given the strided slice params. */
-      function slice_util_computeOutShape(begin, end, strides) {
-        const size = [];
-        for (let axis = 0; axis < begin.length; axis++) {
-          size[axis] = Math.ceil((end[axis] - begin[axis]) / strides[axis]);
-        }
-        return size;
-      }
-      // Creates full selection at the elided dimensions. If the dimension matches
-      // the ellipsis mask, override the current stride value. Otherwise, insert.
-      function stridesWithElidedDims(strides, ellipsisInsertionIndex, numElidedAxes) {
-        const newStrides = [...strides];
-        for (let i = 0; i < numElidedAxes; i++) {
-          if (i === 0) {
-            newStrides[ellipsisInsertionIndex] = 1;
-          } else {
-            newStrides.splice(
-              ellipsisInsertionIndex,
-              0 /* num elements to delete */,
-              1 /* element to add */
-            );
-            newStrides.pop();
-          }
-        }
-        return newStrides;
-      }
-      // Creates full selection at the elided dimensions. If the dimension matches
-      // the ellipsis mask, override the current start value. Otherwise, insert.
-      function startIndicesWithElidedDims(startIndices, ellipsisInsertionIndex, numElidedAxes) {
-        const newIndices = [...startIndices];
-        for (let i = 0; i < numElidedAxes; i++) {
-          if (i === 0) {
-            newIndices[ellipsisInsertionIndex] = 0;
-          } else {
-            newIndices.splice(
-              ellipsisInsertionIndex,
-              0 /* num elements to delete */,
-              0 /* element to add */
-            );
-            newIndices.pop();
-          }
-        }
-        return newIndices;
-      }
-      // Creates full selection at the elided dimensions. If the dimension matches
-      // the ellipsis mask, override the current stop value. Otherwise, insert.
-      function stopIndicesWithElidedDims(
-        stopIndices,
-        ellipsisInsertionIndex,
-        numElidedAxes,
-        inputShape
-      ) {
-        const newIndices = [...stopIndices];
-        for (let i = 0; i < numElidedAxes; i++) {
-          if (i === 0) {
-            newIndices[ellipsisInsertionIndex] = Number.MAX_SAFE_INTEGER;
-          } else {
-            newIndices.splice(
-              ellipsisInsertionIndex,
-              0 /* num elements to delete */,
-              Number.MAX_SAFE_INTEGER /* element to add */
-            );
-            newIndices.pop();
-          }
-        }
-        for (let i = 0; i < newIndices.length; i++) {
-          newIndices[i] = util["clamp"](0, newIndices[i], inputShape[i]);
-        }
-        return newIndices;
-      }
-      function stridesForAxis(strides, axis, ellipsisMask) {
-        let stride = strides[axis];
-        if (ellipsisMask & (1 << axis) || stride == null) {
-          stride = 1;
-        }
-        return stride;
-      }
-      function startForAxis(beginMask, startIndices, strides, inputShape, axis, ellipsisMask) {
-        // Begin with the specified index
-        let start = startIndices[axis];
-        const stride = strides[axis] || 1;
-        // Check the axis bit from right of masked axes, or the begin index is not set
-        // for the axis.
-        if (beginMask & (1 << axis) || ellipsisMask & (1 << axis) || start == null) {
-          if (stride > 0) {
-            // Forward iteration - use the first element. These values will get
-            // clamped below (Note: We could have set them to 0 and axis_size-1, but
-            // use lowest() and max() to maintain symmetry with StopForAxis())
-            start = Number.MIN_SAFE_INTEGER;
-          } else {
-            // Backward iteration - use the last element.
-            start = Number.MAX_SAFE_INTEGER;
-          }
-        }
-        // Handle negative indices
-        const axisSize = inputShape[axis];
-        if (start < 0) {
-          start += axisSize;
-        }
-        // Clamping
-        start = util["clamp"](0, start, axisSize - 1);
-        return start;
-      }
-      function stopForAxis(endMask, stopIndices, strides, inputShape, axis, ellipsisMask) {
-        // Begin with the specified index
-        let stop = stopIndices[axis];
-        const stride = strides[axis] || 1;
-        // Check the axis bit from right of masked axes, or if the stop index is not
-        // set for this axis.
-        if (endMask & (1 << axis) || ellipsisMask & (1 << axis) || stop == null) {
-          if (stride > 0) {
-            // Forward iteration - use the last element. These values will get
-            // clamped below
-            stop = Number.MAX_SAFE_INTEGER;
-          } else {
-            // Backward iteration - use the first element.
-            stop = Number.MIN_SAFE_INTEGER;
-          }
-        }
-        // Handle negative indices
-        const axisSize = inputShape[axis];
-        if (stop < 0) {
-          stop += axisSize;
-        }
-        // Clamping
-        // Because the end index points one past the last element, we need slightly
-        // different clamping ranges depending on the direction.
-        if (stride > 0) {
-          // Forward iteration
-          stop = util["clamp"](0, stop, axisSize);
-        } else {
-          // Backward iteration
-          stop = util["clamp"](-1, stop, axisSize - 1);
-        }
-        return stop;
-      }
-      /**
-       * Returns true if the slice occupies a continous set of elements in the
-       * 'flat' space.
-       */
-      function isSliceContinous(shape, begin, size) {
-        // Index of the first axis that has size > 1.
-        let firstNonOneAxis = size.length;
-        for (let i = 0; i < size.length; i++) {
-          if (size[i] > 1) {
-            firstNonOneAxis = i;
-            break;
-          }
-        }
-        for (let i = firstNonOneAxis + 1; i < size.length; i++) {
-          if (begin[i] > 0 || size[i] !== shape[i]) {
-            return false;
-          }
-        }
-        return true;
-      }
-      function computeFlatOffset(begin, strides) {
-        let flatOffset = begin.length > 0 ? begin[begin.length - 1] : 1;
-        for (let i = 0; i < begin.length - 1; i++) {
-          flatOffset += begin[i] * strides[i];
-        }
-        return flatOffset;
-      }
-      //# sourceMappingURL=slice_util.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/slice.js
-      /**
-       * @license
-       * Copyright 2018 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Extracts a 1D slice from 1D array starting at coordinates `begin` and is
-       * of length `size`. See `slice` for details.
-       */
-      function slice1d_(x, begin, size) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "slice1d");
-        util["assert"](
-          $x.rank === 1,
-          () => `slice1d expects a rank-1 tensor, but got a rank-${$x.rank} tensor`
-        );
-        return slice($x, [begin], [size]);
-      }
-      /**
-       * Extracts a 2D slice from a 2D array starting at coordinates `begin` and
-       * is of size `size`. See `slice` for details.
-       */
-      function slice2d_(x, begin, size) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "slice2d");
-        util["assert"](
-          $x.rank === 2,
-          () => `slice2d expects a rank-2 tensor, but got a rank-${$x.rank} tensor`
-        );
-        return slice($x, begin, size);
-      }
-      /**
-       * Extracts a 3D slice from a 3D array starting at coordinates `begin` and
-       * is of size `size`. See `slice` for details.
-       */
-      function slice3d_(x, begin, size) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "slice3d");
-        util["assert"](
-          $x.rank === 3,
-          () => `slice3d expects a rank-3 tensor, but got a rank-${$x.rank} tensor`
-        );
-        return slice($x, begin, size);
-      }
-      /**
-       * Extracts a 4D slice from a 4D array starting at coordinates `begin` and
-       * is of size `size`. See `slice` for details.
-       */
-      function slice4d_(x, begin, size) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "slice4d");
-        util["assert"](
-          $x.rank === 4,
-          () => `slice4d expects a rank-4 tensor, but got a rank-${$x.rank} tensor`
-        );
-        return slice($x, begin, size);
-      }
-      /**
-       * Extracts a slice from a `tf.Tensor` starting at coordinates `begin`
-       * and is of size `size`.
-       *
-       * Also available are stricter rank-specific methods with the same signature
-       * as this method that assert that `x` is of the given rank:
-       *   - `tf.slice1d`
-       *   - `tf.slice2d`
-       *   - `tf.slice3d`
-       *   - `tf.slice4d`
-       *
-       * ```js
-       * const x = tf.tensor1d([1, 2, 3, 4]);
-       *
-       * x.slice([1], [2]).print();
-       * ```
-       *
-       * ```js
-       * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);
-       *
-       * x.slice([1, 0], [1, 2]).print();
-       * ```
-       * @param x The input `tf.Tensor` to slice from.
-       * @param begin The coordinates to start the slice from. The length can be
-       *     less than the rank of x - the rest of the axes will have implicit 0 as
-       *     start. Can also be a single number, in which case it specifies the
-       *     first axis.
-       * @param size The size of the slice. The length can be less than the rank of
-       *     x - the rest of the axes will have implicit -1. A value of -1 requests
-       *     the rest of the dimensions in the axis. Can also be a single number,
-       *     in which case it specifies the size of the first axis.
-       */
-      /** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */
-      function slice_(x, begin, size) {
-        const $x = Object(tensor_util_env["a" /* convertToTensor */])(x, "x", "slice");
-        if ($x.rank === 0) {
-          throw new Error("Slicing scalar is not possible");
-        }
-        // The following logic allows for more ergonomic calls.
-        let begin_;
-        if (typeof begin === "number") {
-          begin_ = [begin, ...new Array($x.rank - 1).fill(0)];
-        } else if (begin.length < $x.rank) {
-          begin_ = begin.concat(new Array($x.rank - begin.length).fill(0));
-        } else {
-          begin_ = begin.slice();
-        }
-        begin_.forEach((d) => {
-          util["assert"](d !== -1, () => "slice() does not support negative begin indexing.");
-        });
-        let size_;
-        if (size == null) {
-          size_ = new Array($x.rank).fill(-1);
-        } else if (typeof size === "number") {
-          size_ = [size, ...new Array($x.rank - 1).fill(-1)];
-        } else if (size.length < $x.rank) {
-          size_ = size.concat(new Array($x.rank - size.length).fill(-1));
-        } else {
-          size_ = size;
-        }
-        size_ = size_.map((d, i) => {
-          if (d >= 0) {
-            return d;
-          } else {
-            util["assert"](
-              d === -1,
-              () =>
-                `Negative size values should be exactly -1 but got ` +
-                `${d} for the slice() size at index ${i}.`
-            );
-            return $x.shape[i] - begin_[i];
-          }
-        });
-        assertParamsValid($x, begin_, size_);
-        const inputShape = $x.shape;
-        const grad = (dy) => {
-          // Create an Nx2 padding where the first column represents how many
-          // zeros are prepended (at start) for each dimension, and the second
-          // column indicates how many zeros are appended (at end).
-          // The number of zeros to append is the shape of the input
-          // elementwise-subtracted by both the begin vector and sizes vector.
-          const paddings = [];
-          for (let i = 0; i < dy.rank; i++) {
-            paddings.push([begin_[i], inputShape[i] - begin_[i] - size_[i]]);
-          }
-          return { x: () => pad_pad(dy, paddings) };
-        };
-        const attrs = { begin: begin_, size: size_ };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          (backend) => backend.slice($x, begin_, size_),
-          { x: $x },
-          grad,
-          "Slice",
-          attrs
-        );
-      }
-      const slice = Object(operation["a" /* op */])({ slice_ });
-      const slice1d = Object(operation["a" /* op */])({ slice1d_ });
-      const slice2d = Object(operation["a" /* op */])({ slice2d_ });
-      const slice3d = Object(operation["a" /* op */])({ slice3d_ });
-      const slice4d = Object(operation["a" /* op */])({ slice4d_ });
-      //# sourceMappingURL=slice.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Tile_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const tileGradConfig = {
-        kernelName: kernel_names["rb" /* Tile */],
-        inputsToSave: ["x"],
-        gradFunc: (dy, saved, attrs) => {
-          const [x] = saved;
-          const { reps } = attrs;
-          const derX = () => {
-            let xGrad = Object(tensor_ops["o" /* zerosLike */])(x);
-            // TODO(cais): Maybe reduce memory footprint by avoiding repeated
-            // slicing.
-            if (x.rank === 1) {
-              for (let i = 0; i < reps[0]; ++i) {
-                xGrad = add(xGrad, slice(dy, [i * x.shape[0]], [x.shape[0]]));
-              }
-            } else if (x.rank === 2) {
-              for (let i = 0; i < reps[0]; ++i) {
-                for (let j = 0; j < reps[1]; ++j) {
-                  xGrad = add(
-                    xGrad,
-                    slice(dy, [i * x.shape[0], j * x.shape[1]], [x.shape[0], x.shape[1]])
-                  );
-                }
-              }
-            } else if (x.rank === 3) {
-              for (let i = 0; i < reps[0]; ++i) {
-                for (let j = 0; j < reps[1]; ++j) {
-                  for (let k = 0; k < reps[2]; ++k) {
-                    xGrad = add(
-                      xGrad,
-                      slice(
-                        dy,
-                        [i * x.shape[0], j * x.shape[1], k * x.shape[2]],
-                        [x.shape[0], x.shape[1], x.shape[2]]
-                      )
-                    );
-                  }
-                }
-              }
-            } else if (x.rank === 4) {
-              for (let i = 0; i < reps[0]; ++i) {
-                for (let j = 0; j < reps[1]; ++j) {
-                  for (let k = 0; k < reps[2]; ++k) {
-                    for (let l = 0; l < reps[3]; ++l) {
-                      xGrad = add(
-                        xGrad,
-                        slice(
-                          dy,
-                          [i * x.shape[0], j * x.shape[1], k * x.shape[2], l * x.shape[3]],
-                          [x.shape[0], x.shape[1], x.shape[2], x.shape[3]]
-                        )
-                      );
-                    }
-                  }
-                }
-              }
-            } else {
-              throw new Error(
-                `Gradient for tile operation is not implemented for rank-` +
-                  `${x.rank} tensors yet.`
-              );
-            }
-            return xGrad;
-          };
-          return { x: derX };
-        },
-      };
-      //# sourceMappingURL=Tile_grad.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/gradients/Transpose_grad.js
-      /**
-       * @license
-       * Copyright 2020 Google LLC. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const transposeGradConfig = {
-        kernelName: kernel_names["sb" /* Transpose */],
-        gradFunc: (dy, saved, attrs) => {
-          const transposeAttrs = attrs;
-          const { perm } = transposeAttrs;
-          const undoPerm = getUndoAxesPermutation(perm);
-          return { x: () => transpose(dy, undoPerm) };
-        },
-      };
-      //# sourceMappingURL=Transpose_grad.js.map
-      // EXTERNAL MODULE: ./node_modules/@tensorflow/tfjs-core/dist/kernel_registry.js
-      var kernel_registry = __webpack_require__(17);
-
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/register_all_gradients.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      // Export all kernel configs here so that the package can auto register them
-      const gradConfigs = [
-        addGradConfig,
-        addNGradConfig,
-        atan2GradConfig,
-        avgPoolGradConfig,
-        avgPool3DGradConfig,
-        batchMatMulGradConfig,
-        batchToSpaceNDGradConfig,
-        broadcastToGradConfig,
-        concatGradConfig,
-        conv2DGradConfig,
-        conv2DBackpropInputGradConfig,
-        conv3DGradConfig,
-        cumsumGradConfig,
-        depthwiseConv2dNativeGradConfig,
-        divGradConfig,
-        eluGradConfig,
-        floorDivGradConfig,
-        fusedBatchNormGradConfig,
-        greaterEqualGradConfig,
-        identityGradConfig,
-        lrnGradConfig,
-        oneHotGradConfig,
-        padV2GradConfig,
-        splitVGradConfig,
-        maxGradConfig,
-        spaceToBatchNDGradConfig,
-        maxGradConfig,
-        maximumGradConfig,
-        maxPoolGradConfig,
-        maxPool3DGradConfig,
-        minimumGradConfig,
-        modGradConfig,
-        multiplyGradConfig,
-        oneHotGradConfig,
-        padV2GradConfig,
-        powGradConfig,
-        preluGradConfig,
-        reluGradConfig,
-        relu6GradConfig,
-        seluGradConfig,
-        spaceToBatchNDGradConfig,
-        splitVGradConfig,
-        squareGradConfig,
-        squaredDifferenceGradConfig,
-        tileGradConfig,
-        transposeGradConfig,
-        subGradConfig,
-      ];
-      for (const gradientConfig of gradConfigs) {
-        Object(kernel_registry["d" /* registerGradient */])(gradientConfig);
-      }
-      //# sourceMappingURL=register_all_gradients.js.map
-      // EXTERNAL MODULE: ./node_modules/@tensorflow/tfjs-core/dist/environment.js
-      var environment = __webpack_require__(10);
-
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/platforms/platform_browser.js
-      /**
-       * @license
-       * Copyright 2019 Google LLC. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      class PlatformBrowser {
-        fetch(path, init) {
-          return fetch(path, init);
-        }
-        now() {
-          return performance.now();
-        }
-        encode(text, encoding) {
-          if (encoding !== "utf-8" && encoding !== "utf8") {
-            throw new Error(`Browser's encoder only supports utf-8, but got ${encoding}`);
-          }
-          if (this.textEncoder == null) {
-            this.textEncoder = new TextEncoder();
-          }
-          return this.textEncoder.encode(text);
-        }
-        decode(bytes, encoding) {
-          return new TextDecoder(encoding).decode(bytes);
-        }
-      }
-      if (Object(environment["c" /* env */])().get("IS_BROWSER")) {
-        Object(environment["c" /* env */])().setPlatform("browser", new PlatformBrowser());
-      }
-      //# sourceMappingURL=platform_browser.js.map
-      // EXTERNAL MODULE: ./node_modules/@tensorflow/tfjs-core/dist/platforms/platform_node.js
-      var platform_node = __webpack_require__(62);
-
-      // EXTERNAL MODULE: ./node_modules/@tensorflow/tfjs-core/dist/io/io_utils.js
-      var io_utils = __webpack_require__(13);
-
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/io/router_registry.js
-      /**
-       * @license
-       * Copyright 2018 Google LLC. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-      class IORouterRegistry {
-        constructor() {
-          this.saveRouters = [];
-          this.loadRouters = [];
-        }
-        static getInstance() {
-          if (IORouterRegistry.instance == null) {
-            IORouterRegistry.instance = new IORouterRegistry();
-          }
-          return IORouterRegistry.instance;
-        }
-        /**
-         * Register a save-handler router.
-         *
-         * @param saveRouter A function that maps a URL-like string onto an instance
-         * of `IOHandler` with the `save` method defined or `null`.
-         */
-        static registerSaveRouter(saveRouter) {
-          IORouterRegistry.getInstance().saveRouters.push(saveRouter);
-        }
-        /**
-         * Register a load-handler router.
-         *
-         * @param loadRouter A function that maps a URL-like string onto an instance
-         * of `IOHandler` with the `load` method defined or `null`.
-         */
-        static registerLoadRouter(loadRouter) {
-          IORouterRegistry.getInstance().loadRouters.push(loadRouter);
-        }
-        /**
-         * Look up IOHandler for saving, given a URL-like string.
-         *
-         * @param url
-         * @returns If only one match is found, an instance of IOHandler with the
-         * `save` method defined. If no match is found, `null`.
-         * @throws Error, if more than one match is found.
-         */
-        static getSaveHandlers(url) {
-          return IORouterRegistry.getHandlers(url, "save");
-        }
-        /**
-         * Look up IOHandler for loading, given a URL-like string.
-         *
-         * @param url
-         * @param loadOptions Optional, custom load options.
-         * @returns All valid handlers for `url`, given the currently registered
-         *   handler routers.
-         */
-        static getLoadHandlers(url, loadOptions) {
-          return IORouterRegistry.getHandlers(url, "load", loadOptions);
-        }
-        static getHandlers(url, handlerType, loadOptions) {
-          const validHandlers = [];
-          const routers =
-            handlerType === "load"
-              ? IORouterRegistry.getInstance().loadRouters
-              : IORouterRegistry.getInstance().saveRouters;
-          routers.forEach((router) => {
-            const handler = router(url, loadOptions);
-            if (handler !== null) {
-              validHandlers.push(handler);
-            }
-          });
-          return validHandlers;
-        }
-      }
-      const registerSaveRouter = (loudRouter) => IORouterRegistry.registerSaveRouter(loudRouter);
-      const registerLoadRouter = (loudRouter) => IORouterRegistry.registerLoadRouter(loudRouter);
-      const getSaveHandlers = (url) => IORouterRegistry.getSaveHandlers(url);
-      const getLoadHandlers = (url, loadOptions) =>
-        IORouterRegistry.getLoadHandlers(url, loadOptions);
-      //# sourceMappingURL=router_registry.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/io/model_management.js
-      /**
-       * @license
-       * Copyright 2018 Google LLC. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-      /**
-       * Classes and functions for model management across multiple storage mediums.
-       *
-       * Supported client actions:
-       * - Listing models on all registered storage mediums.
-       * - Remove model by URL from any registered storage mediums, by using URL
-       *   string.
-       * - Moving or copying model from one path to another in the same medium or from
-       *   one medium to another, by using URL strings.
-       */
-
-      const URL_SCHEME_SUFFIX = "://";
-      class model_management_ModelStoreManagerRegistry {
-        constructor() {
-          this.managers = {};
-        }
-        static getInstance() {
-          if (model_management_ModelStoreManagerRegistry.instance == null) {
-            model_management_ModelStoreManagerRegistry.instance =
-              new model_management_ModelStoreManagerRegistry();
-          }
-          return model_management_ModelStoreManagerRegistry.instance;
-        }
-        /**
-         * Register a save-handler router.
-         *
-         * @param saveRouter A function that maps a URL-like string onto an instance
-         * of `IOHandler` with the `save` method defined or `null`.
-         */
-        static registerManager(scheme, manager) {
-          Object(util["assert"])(scheme != null, () => "scheme must not be undefined or null.");
-          if (scheme.endsWith(URL_SCHEME_SUFFIX)) {
-            scheme = scheme.slice(0, scheme.indexOf(URL_SCHEME_SUFFIX));
-          }
-          Object(util["assert"])(scheme.length > 0, () => "scheme must not be an empty string.");
-          const registry = model_management_ModelStoreManagerRegistry.getInstance();
-          Object(util["assert"])(
-            registry.managers[scheme] == null,
-            () => `A model store manager is already registered for scheme '${scheme}'.`
-          );
-          registry.managers[scheme] = manager;
-        }
-        static getManager(scheme) {
-          const manager = this.getInstance().managers[scheme];
-          if (manager == null) {
-            throw new Error(`Cannot find model manager for scheme '${scheme}'`);
-          }
-          return manager;
-        }
-        static getSchemes() {
-          return Object.keys(this.getInstance().managers);
-        }
-      }
-      /**
-       * Helper method for parsing a URL string into a scheme and a path.
-       *
-       * @param url E.g., 'localstorage://my-model'
-       * @returns A dictionary with two fields: scheme and path.
-       *   Scheme: e.g., 'localstorage' in the example above.
-       *   Path: e.g., 'my-model' in the example above.
-       */
-      function parseURL(url) {
-        if (url.indexOf(URL_SCHEME_SUFFIX) === -1) {
-          throw new Error(
-            `The url string provided does not contain a scheme. ` +
-              `Supported schemes are: ` +
-              `${model_management_ModelStoreManagerRegistry.getSchemes().join(",")}`
-          );
-        }
-        return {
-          scheme: url.split(URL_SCHEME_SUFFIX)[0],
-          path: url.split(URL_SCHEME_SUFFIX)[1],
-        };
-      }
-      async function cloneModelInternal(sourceURL, destURL, deleteSource = false) {
-        Object(util["assert"])(
-          sourceURL !== destURL,
-          () => `Old path and new path are the same: '${sourceURL}'`
-        );
-        const loadHandlers = IORouterRegistry.getLoadHandlers(sourceURL);
-        Object(util["assert"])(
-          loadHandlers.length > 0,
-          () => `Copying failed because no load handler is found for source URL ${sourceURL}.`
-        );
-        Object(util["assert"])(
-          loadHandlers.length < 2,
-          () =>
-            `Copying failed because more than one (${loadHandlers.length}) ` +
-            `load handlers for source URL ${sourceURL}.`
-        );
-        const loadHandler = loadHandlers[0];
-        const saveHandlers = IORouterRegistry.getSaveHandlers(destURL);
-        Object(util["assert"])(
-          saveHandlers.length > 0,
-          () =>
-            `Copying failed because no save handler is found for destination ` + `URL ${destURL}.`
-        );
-        Object(util["assert"])(
-          saveHandlers.length < 2,
-          () =>
-            `Copying failed because more than one (${loadHandlers.length}) ` +
-            `save handlers for destination URL ${destURL}.`
-        );
-        const saveHandler = saveHandlers[0];
-        const sourceScheme = parseURL(sourceURL).scheme;
-        const sourcePath = parseURL(sourceURL).path;
-        const sameMedium = sourceScheme === parseURL(sourceURL).scheme;
-        const modelArtifacts = await loadHandler.load();
-        // If moving within the same storage medium, remove the old model as soon as
-        // the loading is done. Without doing this, it is possible that the combined
-        // size of the two models will cause the cloning to fail.
-        if (deleteSource && sameMedium) {
-          await model_management_ModelStoreManagerRegistry
-            .getManager(sourceScheme)
-            .removeModel(sourcePath);
-        }
-        const saveResult = await saveHandler.save(modelArtifacts);
-        // If moving between mediums, the deletion is done after the save succeeds.
-        // This guards against the case in which saving to the destination medium
-        // fails.
-        if (deleteSource && !sameMedium) {
-          await model_management_ModelStoreManagerRegistry
-            .getManager(sourceScheme)
-            .removeModel(sourcePath);
-        }
-        return saveResult.modelArtifactsInfo;
-      }
-      /**
-       * List all models stored in registered storage mediums.
-       *
-       * For a web browser environment, the registered mediums are Local Storage and
-       * IndexedDB.
-       *
-       * ```js
-       * // First create and save a model.
-       * const model = tf.sequential();
-       * model.add(tf.layers.dense(
-       *     {units: 1, inputShape: [10], activation: 'sigmoid'}));
-       * await model.save('localstorage://demo/management/model1');
-       *
-       * // Then list existing models.
-       * console.log(JSON.stringify(await tf.io.listModels()));
-       *
-       * // Delete the model.
-       * await tf.io.removeModel('localstorage://demo/management/model1');
-       *
-       * // List models again.
-       * console.log(JSON.stringify(await tf.io.listModels()));
-       * ```
-       *
-       * @returns A `Promise` of a dictionary mapping URLs of existing models to
-       * their model artifacts info. URLs include medium-specific schemes, e.g.,
-       *   'indexeddb://my/model/1'. Model artifacts info include type of the
-       * model's topology, byte sizes of the topology, weights, etc.
-       */
-      /**
-       * @doc {
-       *   heading: 'Models',
-       *   subheading: 'Management',
-       *   namespace: 'io',
-       *   ignoreCI: true
-       * }
-       */
-      async function listModels() {
-        const schemes = model_management_ModelStoreManagerRegistry.getSchemes();
-        const out = {};
-        for (const scheme of schemes) {
-          const schemeOut = await model_management_ModelStoreManagerRegistry
-            .getManager(scheme)
-            .listModels();
-          for (const path in schemeOut) {
-            const url = scheme + URL_SCHEME_SUFFIX + path;
-            out[url] = schemeOut[path];
-          }
-        }
-        return out;
-      }
-      /**
-       * Remove a model specified by URL from a reigstered storage medium.
-       *
-       * ```js
-       * // First create and save a model.
-       * const model = tf.sequential();
-       * model.add(tf.layers.dense(
-       *     {units: 1, inputShape: [10], activation: 'sigmoid'}));
-       * await model.save('localstorage://demo/management/model1');
-       *
-       * // Then list existing models.
-       * console.log(JSON.stringify(await tf.io.listModels()));
-       *
-       * // Delete the model.
-       * await tf.io.removeModel('localstorage://demo/management/model1');
-       *
-       * // List models again.
-       * console.log(JSON.stringify(await tf.io.listModels()));
-       * ```
-       *
-       * @param url A URL to a stored model, with a scheme prefix, e.g.,
-       *   'localstorage://my-model-1', 'indexeddb://my/model/2'.
-       * @returns ModelArtifactsInfo of the deleted model (if and only if deletion
-       *   is successful).
-       * @throws Error if deletion fails, e.g., if no model exists at `path`.
-       */
-      /**
-       * @doc {
-       *   heading: 'Models',
-       *   subheading: 'Management',
-       *   namespace: 'io',
-       *   ignoreCI: true
-       * }
-       */
-      async function removeModel(url) {
-        const schemeAndPath = parseURL(url);
-        const manager = model_management_ModelStoreManagerRegistry.getManager(schemeAndPath.scheme);
-        return manager.removeModel(schemeAndPath.path);
-      }
-      /**
-       * Copy a model from one URL to another.
-       *
-       * This function supports:
-       *
-       * 1. Copying within a storage medium, e.g.,
-       *    `tf.io.copyModel('localstorage://model-1', 'localstorage://model-2')`
-       * 2. Copying between two storage mediums, e.g.,
-       *    `tf.io.copyModel('localstorage://model-1', 'indexeddb://model-1')`
-       *
-       * ```js
-       * // First create and save a model.
-       * const model = tf.sequential();
-       * model.add(tf.layers.dense(
-       *     {units: 1, inputShape: [10], activation: 'sigmoid'}));
-       * await model.save('localstorage://demo/management/model1');
-       *
-       * // Then list existing models.
-       * console.log(JSON.stringify(await tf.io.listModels()));
-       *
-       * // Copy the model, from Local Storage to IndexedDB.
-       * await tf.io.copyModel(
-       *     'localstorage://demo/management/model1',
-       *     'indexeddb://demo/management/model1');
-       *
-       * // List models again.
-       * console.log(JSON.stringify(await tf.io.listModels()));
-       *
-       * // Remove both models.
-       * await tf.io.removeModel('localstorage://demo/management/model1');
-       * await tf.io.removeModel('indexeddb://demo/management/model1');
-       * ```
-       *
-       * @param sourceURL Source URL of copying.
-       * @param destURL Destination URL of copying.
-       * @returns ModelArtifactsInfo of the copied model (if and only if copying
-       *   is successful).
-       * @throws Error if copying fails, e.g., if no model exists at `sourceURL`, or
-       *   if `oldPath` and `newPath` are identical.
-       */
-      /**
-       * @doc {
-       *   heading: 'Models',
-       *   subheading: 'Management',
-       *   namespace: 'io',
-       *   ignoreCI: true
-       * }
-       */
-      async function copyModel(sourceURL, destURL) {
-        const deleteSource = false;
-        return cloneModelInternal(sourceURL, destURL, deleteSource);
-      }
-      /**
-       * Move a model from one URL to another.
-       *
-       * This function supports:
-       *
-       * 1. Moving within a storage medium, e.g.,
-       *    `tf.io.moveModel('localstorage://model-1', 'localstorage://model-2')`
-       * 2. Moving between two storage mediums, e.g.,
-       *    `tf.io.moveModel('localstorage://model-1', 'indexeddb://model-1')`
-       *
-       * ```js
-       * // First create and save a model.
-       * const model = tf.sequential();
-       * model.add(tf.layers.dense(
-       *     {units: 1, inputShape: [10], activation: 'sigmoid'}));
-       * await model.save('localstorage://demo/management/model1');
-       *
-       * // Then list existing models.
-       * console.log(JSON.stringify(await tf.io.listModels()));
-       *
-       * // Move the model, from Local Storage to IndexedDB.
-       * await tf.io.moveModel(
-       *     'localstorage://demo/management/model1',
-       *     'indexeddb://demo/management/model1');
-       *
-       * // List models again.
-       * console.log(JSON.stringify(await tf.io.listModels()));
-       *
-       * // Remove the moved model.
-       * await tf.io.removeModel('indexeddb://demo/management/model1');
-       * ```
-       *
-       * @param sourceURL Source URL of moving.
-       * @param destURL Destination URL of moving.
-       * @returns ModelArtifactsInfo of the copied model (if and only if copying
-       *   is successful).
-       * @throws Error if moving fails, e.g., if no model exists at `sourceURL`, or
-       *   if `oldPath` and `newPath` are identical.
-       */
-      /**
-       * @doc {
-       *   heading: 'Models',
-       *   subheading: 'Management',
-       *   namespace: 'io',
-       *   ignoreCI: true
-       * }
-       */
-      async function moveModel(sourceURL, destURL) {
-        const deleteSource = true;
-        return cloneModelInternal(sourceURL, destURL, deleteSource);
-      }
-
-      //# sourceMappingURL=model_management.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/io/indexed_db.js
-      /**
-       * @license
-       * Copyright 2018 Google LLC. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const DATABASE_NAME = "tensorflowjs";
-      const DATABASE_VERSION = 1;
-      // Model data and ModelArtifactsInfo (metadata) are stored in two separate
-      // stores for efficient access of the list of stored models and their metadata.
-      // 1. The object store for model data: topology, weights and weight manifests.
-      const MODEL_STORE_NAME = "models_store";
-      // 2. The object store for ModelArtifactsInfo, including meta-information such
-      //    as the type of topology (JSON vs binary), byte size of the topology, byte
-      //    size of the weights, etc.
-      const INFO_STORE_NAME = "model_info_store";
-      /**
-       * Delete the entire database for tensorflow.js, including the models store.
-       */
-      async function deleteDatabase() {
-        const idbFactory = getIndexedDBFactory();
-        return new Promise((resolve, reject) => {
-          const deleteRequest = idbFactory.deleteDatabase(DATABASE_NAME);
-          deleteRequest.onsuccess = () => resolve();
-          deleteRequest.onerror = (error) => reject(error);
-        });
-      }
-      function getIndexedDBFactory() {
-        if (!Object(environment["c" /* env */])().getBool("IS_BROWSER")) {
-          // TODO(cais): Add more info about what IOHandler subtypes are available.
-          //   Maybe point to a doc page on the web and/or automatically determine
-          //   the available IOHandlers and print them in the error message.
-          throw new Error(
-            "Failed to obtain IndexedDB factory because the current environment" +
-              "is not a web browser."
-          );
-        }
-        // tslint:disable-next-line:no-any
-        const theWindow = typeof window === "undefined" ? self : window;
-        const factory =
-          theWindow.indexedDB ||
-          theWindow.mozIndexedDB ||
-          theWindow.webkitIndexedDB ||
-          theWindow.msIndexedDB ||
-          theWindow.shimIndexedDB;
-        if (factory == null) {
-          throw new Error("The current browser does not appear to support IndexedDB.");
-        }
-        return factory;
-      }
-      function setUpDatabase(openRequest) {
-        const db = openRequest.result;
-        db.createObjectStore(MODEL_STORE_NAME, { keyPath: "modelPath" });
-        db.createObjectStore(INFO_STORE_NAME, { keyPath: "modelPath" });
-      }
-      /**
-       * IOHandler subclass: Browser IndexedDB.
-       *
-       * See the doc string of `browserIndexedDB` for more details.
-       */
-      class indexed_db_BrowserIndexedDB {
-        constructor(modelPath) {
-          this.indexedDB = getIndexedDBFactory();
-          if (modelPath == null || !modelPath) {
-            throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");
-          }
-          this.modelPath = modelPath;
-        }
-        async save(modelArtifacts) {
-          // TODO(cais): Support saving GraphDef models.
-          if (modelArtifacts.modelTopology instanceof ArrayBuffer) {
-            throw new Error(
-              "BrowserLocalStorage.save() does not support saving model topology " +
-                "in binary formats yet."
-            );
-          }
-          return this.databaseAction(this.modelPath, modelArtifacts);
-        }
-        async load() {
-          return this.databaseAction(this.modelPath);
-        }
-        /**
-         * Perform database action to put model artifacts into or read model artifacts
-         * from IndexedDB object store.
-         *
-         * Whether the action is put or get depends on whether `modelArtifacts` is
-         * specified. If it is specified, the action will be put; otherwise the action
-         * will be get.
-         *
-         * @param modelPath A unique string path for the model.
-         * @param modelArtifacts If specified, it will be the model artifacts to be
-         *   stored in IndexedDB.
-         * @returns A `Promise` of `SaveResult`, if the action is put, or a `Promise`
-         *   of `ModelArtifacts`, if the action is get.
-         */
-        databaseAction(modelPath, modelArtifacts) {
-          return new Promise((resolve, reject) => {
-            const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);
-            openRequest.onupgradeneeded = () => setUpDatabase(openRequest);
-            openRequest.onsuccess = () => {
-              const db = openRequest.result;
-              if (modelArtifacts == null) {
-                // Read model out from object store.
-                const modelTx = db.transaction(MODEL_STORE_NAME, "readonly");
-                const modelStore = modelTx.objectStore(MODEL_STORE_NAME);
-                const getRequest = modelStore.get(this.modelPath);
-                getRequest.onsuccess = () => {
-                  if (getRequest.result == null) {
-                    db.close();
-                    return reject(
-                      new Error(
-                        `Cannot find model with path '${this.modelPath}' ` + `in IndexedDB.`
-                      )
-                    );
-                  } else {
-                    resolve(getRequest.result.modelArtifacts);
-                  }
-                };
-                getRequest.onerror = (error) => {
-                  db.close();
-                  return reject(getRequest.error);
-                };
-                modelTx.oncomplete = () => db.close();
-              } else {
-                // Put model into object store.
-                const modelArtifactsInfo = Object(io_utils["g" /* getModelArtifactsInfoForJSON */])(
-                  modelArtifacts
-                );
-                // First, put ModelArtifactsInfo into info store.
-                const infoTx = db.transaction(INFO_STORE_NAME, "readwrite");
-                let infoStore = infoTx.objectStore(INFO_STORE_NAME);
-                const putInfoRequest = infoStore.put({
-                  modelPath: this.modelPath,
-                  modelArtifactsInfo,
-                });
-                let modelTx;
-                putInfoRequest.onsuccess = () => {
-                  // Second, put model data into model store.
-                  modelTx = db.transaction(MODEL_STORE_NAME, "readwrite");
-                  const modelStore = modelTx.objectStore(MODEL_STORE_NAME);
-                  const putModelRequest = modelStore.put({
-                    modelPath: this.modelPath,
-                    modelArtifacts,
-                    modelArtifactsInfo,
-                  });
-                  putModelRequest.onsuccess = () => resolve({ modelArtifactsInfo });
-                  putModelRequest.onerror = (error) => {
-                    // If the put-model request fails, roll back the info entry as
-                    // well.
-                    infoStore = infoTx.objectStore(INFO_STORE_NAME);
-                    const deleteInfoRequest = infoStore.delete(this.modelPath);
-                    deleteInfoRequest.onsuccess = () => {
-                      db.close();
-                      return reject(putModelRequest.error);
-                    };
-                    deleteInfoRequest.onerror = (error) => {
-                      db.close();
-                      return reject(putModelRequest.error);
-                    };
-                  };
-                };
-                putInfoRequest.onerror = (error) => {
-                  db.close();
-                  return reject(putInfoRequest.error);
-                };
-                infoTx.oncomplete = () => {
-                  if (modelTx == null) {
-                    db.close();
-                  } else {
-                    modelTx.oncomplete = () => db.close();
-                  }
-                };
-              }
-            };
-            openRequest.onerror = (error) => reject(openRequest.error);
-          });
-        }
-      }
-      indexed_db_BrowserIndexedDB.URL_SCHEME = "indexeddb://";
-      const indexedDBRouter = (url) => {
-        if (!Object(environment["c" /* env */])().getBool("IS_BROWSER")) {
-          return null;
-        } else {
-          if (!Array.isArray(url) && url.startsWith(indexed_db_BrowserIndexedDB.URL_SCHEME)) {
-            return browserIndexedDB(url.slice(indexed_db_BrowserIndexedDB.URL_SCHEME.length));
-          } else {
-            return null;
-          }
-        }
-      };
-      IORouterRegistry.registerSaveRouter(indexedDBRouter);
-      IORouterRegistry.registerLoadRouter(indexedDBRouter);
-      /**
-       * Creates a browser IndexedDB IOHandler for saving and loading models.
-       *
-       * ```js
-       * const model = tf.sequential();
-       * model.add(
-       *     tf.layers.dense({units: 1, inputShape: [100], activation: 'sigmoid'}));
-       *
-       * const saveResult = await model.save('indexeddb://MyModel'));
-       * console.log(saveResult);
-       * ```
-       *
-       * @param modelPath A unique identifier for the model to be saved. Must be a
-       *   non-empty string.
-       * @returns An instance of `BrowserIndexedDB` (sublcass of `IOHandler`),
-       *   which can be used with, e.g., `tf.Model.save`.
-       */
-      function browserIndexedDB(modelPath) {
-        return new indexed_db_BrowserIndexedDB(modelPath);
-      }
-      function maybeStripScheme(key) {
-        return key.startsWith(indexed_db_BrowserIndexedDB.URL_SCHEME)
-          ? key.slice(indexed_db_BrowserIndexedDB.URL_SCHEME.length)
-          : key;
-      }
-      class BrowserIndexedDBManager {
-        constructor() {
-          this.indexedDB = getIndexedDBFactory();
-        }
-        async listModels() {
-          return new Promise((resolve, reject) => {
-            const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);
-            openRequest.onupgradeneeded = () => setUpDatabase(openRequest);
-            openRequest.onsuccess = () => {
-              const db = openRequest.result;
-              const tx = db.transaction(INFO_STORE_NAME, "readonly");
-              const store = tx.objectStore(INFO_STORE_NAME);
-              // tslint:disable:max-line-length
-              // Need to cast `store` as `any` here because TypeScript's DOM
-              // library does not have the `getAll()` method even though the
-              // method is supported in the latest version of most mainstream
-              // browsers:
-              // https://developer.mozilla.org/en-US/docs/Web/API/IDBObjectStore/getAll
-              // tslint:enable:max-line-length
-              // tslint:disable-next-line:no-any
-              const getAllInfoRequest = store.getAll();
-              getAllInfoRequest.onsuccess = () => {
-                const out = {};
-                for (const item of getAllInfoRequest.result) {
-                  out[item.modelPath] = item.modelArtifactsInfo;
-                }
-                resolve(out);
-              };
-              getAllInfoRequest.onerror = (error) => {
-                db.close();
-                return reject(getAllInfoRequest.error);
-              };
-              tx.oncomplete = () => db.close();
-            };
-            openRequest.onerror = (error) => reject(openRequest.error);
-          });
-        }
-        async removeModel(path) {
-          path = maybeStripScheme(path);
-          return new Promise((resolve, reject) => {
-            const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);
-            openRequest.onupgradeneeded = () => setUpDatabase(openRequest);
-            openRequest.onsuccess = () => {
-              const db = openRequest.result;
-              const infoTx = db.transaction(INFO_STORE_NAME, "readwrite");
-              const infoStore = infoTx.objectStore(INFO_STORE_NAME);
-              const getInfoRequest = infoStore.get(path);
-              let modelTx;
-              getInfoRequest.onsuccess = () => {
-                if (getInfoRequest.result == null) {
-                  db.close();
-                  return reject(
-                    new Error(`Cannot find model with path '${path}' ` + `in IndexedDB.`)
-                  );
-                } else {
-                  // First, delete the entry in the info store.
-                  const deleteInfoRequest = infoStore.delete(path);
-                  const deleteModelData = () => {
-                    // Second, delete the entry in the model store.
-                    modelTx = db.transaction(MODEL_STORE_NAME, "readwrite");
-                    const modelStore = modelTx.objectStore(MODEL_STORE_NAME);
-                    const deleteModelRequest = modelStore.delete(path);
-                    deleteModelRequest.onsuccess = () =>
-                      resolve(getInfoRequest.result.modelArtifactsInfo);
-                    deleteModelRequest.onerror = (error) => reject(getInfoRequest.error);
-                  };
-                  // Proceed with deleting model data regardless of whether deletion
-                  // of info data succeeds or not.
-                  deleteInfoRequest.onsuccess = deleteModelData;
-                  deleteInfoRequest.onerror = (error) => {
-                    deleteModelData();
-                    db.close();
-                    return reject(getInfoRequest.error);
-                  };
-                }
-              };
-              getInfoRequest.onerror = (error) => {
-                db.close();
-                return reject(getInfoRequest.error);
-              };
-              infoTx.oncomplete = () => {
-                if (modelTx == null) {
-                  db.close();
-                } else {
-                  modelTx.oncomplete = () => db.close();
-                }
-              };
-            };
-            openRequest.onerror = (error) => reject(openRequest.error);
-          });
-        }
-      }
-      if (Object(environment["c" /* env */])().getBool("IS_BROWSER")) {
-        // Wrap the construction and registration, to guard against browsers that
-        // don't support Local Storage.
-        try {
-          model_management_ModelStoreManagerRegistry.registerManager(
-            indexed_db_BrowserIndexedDB.URL_SCHEME,
-            new BrowserIndexedDBManager()
-          );
-        } catch (err) {}
-      }
-      //# sourceMappingURL=indexed_db.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/io/local_storage.js
-      /**
-       * @license
-       * Copyright 2018 Google LLC. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      const PATH_SEPARATOR = "/";
-      const PATH_PREFIX = "tensorflowjs_models";
-      const INFO_SUFFIX = "info";
-      const MODEL_TOPOLOGY_SUFFIX = "model_topology";
-      const WEIGHT_SPECS_SUFFIX = "weight_specs";
-      const WEIGHT_DATA_SUFFIX = "weight_data";
-      const MODEL_METADATA_SUFFIX = "model_metadata";
-      /**
-       * Purge all tensorflow.js-saved model artifacts from local storage.
-       *
-       * @returns Paths of the models purged.
-       */
-      function purgeLocalStorageArtifacts() {
-        if (
-          !Object(environment["c" /* env */])().getBool("IS_BROWSER") ||
-          typeof window === "undefined" ||
-          typeof window.localStorage === "undefined"
-        ) {
-          throw new Error(
-            "purgeLocalStorageModels() cannot proceed because local storage is " +
-              "unavailable in the current environment."
-          );
-        }
-        const LS = window.localStorage;
-        const purgedModelPaths = [];
-        for (let i = 0; i < LS.length; ++i) {
-          const key = LS.key(i);
-          const prefix = PATH_PREFIX + PATH_SEPARATOR;
-          if (key.startsWith(prefix) && key.length > prefix.length) {
-            LS.removeItem(key);
-            const modelName = getModelPathFromKey(key);
-            if (purgedModelPaths.indexOf(modelName) === -1) {
-              purgedModelPaths.push(modelName);
-            }
-          }
-        }
-        return purgedModelPaths;
-      }
-      function getModelKeys(path) {
-        return {
-          info: [PATH_PREFIX, path, INFO_SUFFIX].join(PATH_SEPARATOR),
-          topology: [PATH_PREFIX, path, MODEL_TOPOLOGY_SUFFIX].join(PATH_SEPARATOR),
-          weightSpecs: [PATH_PREFIX, path, WEIGHT_SPECS_SUFFIX].join(PATH_SEPARATOR),
-          weightData: [PATH_PREFIX, path, WEIGHT_DATA_SUFFIX].join(PATH_SEPARATOR),
-          modelMetadata: [PATH_PREFIX, path, MODEL_METADATA_SUFFIX].join(PATH_SEPARATOR),
-        };
-      }
-      /**
-       * Get model path from a local-storage key.
-       *
-       * E.g., 'tensorflowjs_models/my/model/1/info' --> 'my/model/1'
-       *
-       * @param key
-       */
-      function getModelPathFromKey(key) {
-        const items = key.split(PATH_SEPARATOR);
-        if (items.length < 3) {
-          throw new Error(`Invalid key format: ${key}`);
-        }
-        return items.slice(1, items.length - 1).join(PATH_SEPARATOR);
-      }
-      function local_storage_maybeStripScheme(key) {
-        return key.startsWith(local_storage_BrowserLocalStorage.URL_SCHEME)
-          ? key.slice(local_storage_BrowserLocalStorage.URL_SCHEME.length)
-          : key;
-      }
-      /**
-       * IOHandler subclass: Browser Local Storage.
-       *
-       * See the doc string to `browserLocalStorage` for more details.
-       */
-      class local_storage_BrowserLocalStorage {
-        constructor(modelPath) {
-          if (
-            !Object(environment["c" /* env */])().getBool("IS_BROWSER") ||
-            typeof window === "undefined" ||
-            typeof window.localStorage === "undefined"
-          ) {
-            // TODO(cais): Add more info about what IOHandler subtypes are
-            // available.
-            //   Maybe point to a doc page on the web and/or automatically determine
-            //   the available IOHandlers and print them in the error message.
-            throw new Error("The current environment does not support local storage.");
-          }
-          this.LS = window.localStorage;
-          if (modelPath == null || !modelPath) {
-            throw new Error("For local storage, modelPath must not be null, undefined or empty.");
-          }
-          this.modelPath = modelPath;
-          this.keys = getModelKeys(this.modelPath);
-        }
-        /**
-         * Save model artifacts to browser local storage.
-         *
-         * See the documentation to `browserLocalStorage` for details on the saved
-         * artifacts.
-         *
-         * @param modelArtifacts The model artifacts to be stored.
-         * @returns An instance of SaveResult.
-         */
-        async save(modelArtifacts) {
-          if (modelArtifacts.modelTopology instanceof ArrayBuffer) {
-            throw new Error(
-              "BrowserLocalStorage.save() does not support saving model topology " +
-                "in binary formats yet."
-            );
-          } else {
-            const topology = JSON.stringify(modelArtifacts.modelTopology);
-            const weightSpecs = JSON.stringify(modelArtifacts.weightSpecs);
-            const modelArtifactsInfo = Object(io_utils["g" /* getModelArtifactsInfoForJSON */])(
-              modelArtifacts
-            );
-            try {
-              this.LS.setItem(this.keys.info, JSON.stringify(modelArtifactsInfo));
-              this.LS.setItem(this.keys.topology, topology);
-              this.LS.setItem(this.keys.weightSpecs, weightSpecs);
-              this.LS.setItem(
-                this.keys.weightData,
-                Object(io_utils["a" /* arrayBufferToBase64String */])(modelArtifacts.weightData)
-              );
-              this.LS.setItem(
-                this.keys.modelMetadata,
-                JSON.stringify({
-                  format: modelArtifacts.format,
-                  generatedBy: modelArtifacts.generatedBy,
-                  convertedBy: modelArtifacts.convertedBy,
-                  userDefinedMetadata: modelArtifacts.userDefinedMetadata,
-                })
-              );
-              return { modelArtifactsInfo };
-            } catch (err) {
-              // If saving failed, clean up all items saved so far.
-              this.LS.removeItem(this.keys.info);
-              this.LS.removeItem(this.keys.topology);
-              this.LS.removeItem(this.keys.weightSpecs);
-              this.LS.removeItem(this.keys.weightData);
-              this.LS.removeItem(this.keys.modelMetadata);
-              throw new Error(
-                `Failed to save model '${this.modelPath}' to local storage: ` +
-                  `size quota being exceeded is a possible cause of this failure: ` +
-                  `modelTopologyBytes=${modelArtifactsInfo.modelTopologyBytes}, ` +
-                  `weightSpecsBytes=${modelArtifactsInfo.weightSpecsBytes}, ` +
-                  `weightDataBytes=${modelArtifactsInfo.weightDataBytes}.`
-              );
-            }
-          }
-        }
-        /**
-         * Load a model from local storage.
-         *
-         * See the documentation to `browserLocalStorage` for details on the saved
-         * artifacts.
-         *
-         * @returns The loaded model (if loading succeeds).
-         */
-        async load() {
-          const info = JSON.parse(this.LS.getItem(this.keys.info));
-          if (info == null) {
-            throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);
-          }
-          if (info.modelTopologyType !== "JSON") {
-            throw new Error(
-              "BrowserLocalStorage does not support loading non-JSON model " + "topology yet."
-            );
-          }
-          const out = {};
-          // Load topology.
-          const topology = JSON.parse(this.LS.getItem(this.keys.topology));
-          if (topology == null) {
-            throw new Error(
-              `In local storage, the topology of model '${this.modelPath}' ` + `is missing.`
-            );
-          }
-          out.modelTopology = topology;
-          // Load weight specs.
-          const weightSpecs = JSON.parse(this.LS.getItem(this.keys.weightSpecs));
-          if (weightSpecs == null) {
-            throw new Error(
-              `In local storage, the weight specs of model '${this.modelPath}' ` + `are missing.`
-            );
-          }
-          out.weightSpecs = weightSpecs;
-          // Load meta-data fields.
-          const metadataString = this.LS.getItem(this.keys.modelMetadata);
-          if (metadataString != null) {
-            const metadata = JSON.parse(metadataString);
-            out.format = metadata["format"];
-            out.generatedBy = metadata["generatedBy"];
-            out.convertedBy = metadata["convertedBy"];
-            out.userDefinedMetadata = metadata["userDefinedMetadata"];
-          }
-          // Load weight data.
-          const weightDataBase64 = this.LS.getItem(this.keys.weightData);
-          if (weightDataBase64 == null) {
-            throw new Error(
-              `In local storage, the binary weight values of model ` +
-                `'${this.modelPath}' are missing.`
-            );
-          }
-          out.weightData = Object(io_utils["b" /* base64StringToArrayBuffer */])(weightDataBase64);
-          return out;
-        }
-      }
-      local_storage_BrowserLocalStorage.URL_SCHEME = "localstorage://";
-      const localStorageRouter = (url) => {
-        if (!Object(environment["c" /* env */])().getBool("IS_BROWSER")) {
-          return null;
-        } else {
-          if (!Array.isArray(url) && url.startsWith(local_storage_BrowserLocalStorage.URL_SCHEME)) {
-            return browserLocalStorage(
-              url.slice(local_storage_BrowserLocalStorage.URL_SCHEME.length)
-            );
-          } else {
-            return null;
-          }
-        }
-      };
-      IORouterRegistry.registerSaveRouter(localStorageRouter);
-      IORouterRegistry.registerLoadRouter(localStorageRouter);
-      /**
-       * Factory function for local storage IOHandler.
-       *
-       * This `IOHandler` supports both `save` and `load`.
-       *
-       * For each model's saved artifacts, four items are saved to local storage.
-       *   - `${PATH_SEPARATOR}/${modelPath}/info`: Contains meta-info about the
-       *     model, such as date saved, type of the topology, size in bytes, etc.
-       *   - `${PATH_SEPARATOR}/${modelPath}/topology`: Model topology. For Keras-
-       *     style models, this is a stringized JSON.
-       *   - `${PATH_SEPARATOR}/${modelPath}/weight_specs`: Weight specs of the
-       *     model, can be used to decode the saved binary weight values (see
-       *     item below).
-       *   - `${PATH_SEPARATOR}/${modelPath}/weight_data`: Concatenated binary
-       *     weight values, stored as a base64-encoded string.
-       *
-       * Saving may throw an `Error` if the total size of the artifacts exceed the
-       * browser-specific quota.
-       *
-       * @param modelPath A unique identifier for the model to be saved. Must be a
-       *   non-empty string.
-       * @returns An instance of `IOHandler`, which can be used with, e.g.,
-       *   `tf.Model.save`.
-       */
-      function browserLocalStorage(modelPath) {
-        return new local_storage_BrowserLocalStorage(modelPath);
-      }
-      class local_storage_BrowserLocalStorageManager {
-        constructor() {
-          Object(util["assert"])(
-            Object(environment["c" /* env */])().getBool("IS_BROWSER"),
-            () => "Current environment is not a web browser"
-          );
-          Object(util["assert"])(
-            typeof window === "undefined" || typeof window.localStorage !== "undefined",
-            () => "Current browser does not appear to support localStorage"
-          );
-          this.LS = window.localStorage;
-        }
-        async listModels() {
-          const out = {};
-          const prefix = PATH_PREFIX + PATH_SEPARATOR;
-          const suffix = PATH_SEPARATOR + INFO_SUFFIX;
-          for (let i = 0; i < this.LS.length; ++i) {
-            const key = this.LS.key(i);
-            if (key.startsWith(prefix) && key.endsWith(suffix)) {
-              const modelPath = getModelPathFromKey(key);
-              out[modelPath] = JSON.parse(this.LS.getItem(key));
-            }
-          }
-          return out;
-        }
-        async removeModel(path) {
-          path = local_storage_maybeStripScheme(path);
-          const keys = getModelKeys(path);
-          if (this.LS.getItem(keys.info) == null) {
-            throw new Error(`Cannot find model at path '${path}'`);
-          }
-          const info = JSON.parse(this.LS.getItem(keys.info));
-          this.LS.removeItem(keys.info);
-          this.LS.removeItem(keys.topology);
-          this.LS.removeItem(keys.weightSpecs);
-          this.LS.removeItem(keys.weightData);
-          return info;
-        }
-      }
-      if (Object(environment["c" /* env */])().getBool("IS_BROWSER")) {
-        // Wrap the construction and registration, to guard against browsers that
-        // don't support Local Storage.
-        try {
-          model_management_ModelStoreManagerRegistry.registerManager(
-            local_storage_BrowserLocalStorage.URL_SCHEME,
-            new local_storage_BrowserLocalStorageManager()
-          );
-        } catch (err) {}
-      }
-      //# sourceMappingURL=local_storage.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/io/browser_files.js
-      /**
-       * @license
-       * Copyright 2018 Google LLC. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-      /**
-       * IOHandlers related to files, such as browser-triggered file downloads,
-       * user-selected files in browser.
-       */
-
-      const DEFAULT_FILE_NAME_PREFIX = "model";
-      const DEFAULT_JSON_EXTENSION_NAME = ".json";
-      const DEFAULT_WEIGHT_DATA_EXTENSION_NAME = ".weights.bin";
-      function defer(f) {
-        return new Promise((resolve) => setTimeout(resolve)).then(f);
-      }
-      class browser_files_BrowserDownloads {
-        constructor(fileNamePrefix) {
-          if (!Object(environment["c" /* env */])().getBool("IS_BROWSER")) {
-            // TODO(cais): Provide info on what IOHandlers are available under the
-            //   current environment.
-            throw new Error(
-              "browserDownloads() cannot proceed because the current environment " +
-                "is not a browser."
-            );
-          }
-          if (fileNamePrefix.startsWith(browser_files_BrowserDownloads.URL_SCHEME)) {
-            fileNamePrefix = fileNamePrefix.slice(browser_files_BrowserDownloads.URL_SCHEME.length);
-          }
-          if (fileNamePrefix == null || fileNamePrefix.length === 0) {
-            fileNamePrefix = DEFAULT_FILE_NAME_PREFIX;
-          }
-          this.modelTopologyFileName = fileNamePrefix + DEFAULT_JSON_EXTENSION_NAME;
-          this.weightDataFileName = fileNamePrefix + DEFAULT_WEIGHT_DATA_EXTENSION_NAME;
-        }
-        async save(modelArtifacts) {
-          if (typeof document === "undefined") {
-            throw new Error(
-              "Browser downloads are not supported in " +
-                "this environment since `document` is not present"
-            );
-          }
-          const weightsURL = window.URL.createObjectURL(
-            new Blob([modelArtifacts.weightData], { type: "application/octet-stream" })
-          );
-          if (modelArtifacts.modelTopology instanceof ArrayBuffer) {
-            throw new Error(
-              "BrowserDownloads.save() does not support saving model topology " +
-                "in binary formats yet."
-            );
-          } else {
-            const weightsManifest = [
-              {
-                paths: ["./" + this.weightDataFileName],
-                weights: modelArtifacts.weightSpecs,
-              },
-            ];
-            const modelTopologyAndWeightManifest = {
-              modelTopology: modelArtifacts.modelTopology,
-              format: modelArtifacts.format,
-              generatedBy: modelArtifacts.generatedBy,
-              convertedBy: modelArtifacts.convertedBy,
-              weightsManifest,
-            };
-            const modelTopologyAndWeightManifestURL = window.URL.createObjectURL(
-              new Blob([JSON.stringify(modelTopologyAndWeightManifest)], {
-                type: "application/json",
-              })
-            );
-            // If anchor elements are not provided, create them without attaching them
-            // to parents, so that the downloaded file names can be controlled.
-            const jsonAnchor =
-              this.jsonAnchor == null ? document.createElement("a") : this.jsonAnchor;
-            jsonAnchor.download = this.modelTopologyFileName;
-            jsonAnchor.href = modelTopologyAndWeightManifestURL;
-            // Trigger downloads by evoking a click event on the download anchors.
-            // When multiple downloads are started synchronously, Firefox will only
-            // save the last one.
-            await defer(() => jsonAnchor.dispatchEvent(new MouseEvent("click")));
-            if (modelArtifacts.weightData != null) {
-              const weightDataAnchor =
-                this.weightDataAnchor == null ? document.createElement("a") : this.weightDataAnchor;
-              weightDataAnchor.download = this.weightDataFileName;
-              weightDataAnchor.href = weightsURL;
-              await defer(() => weightDataAnchor.dispatchEvent(new MouseEvent("click")));
-            }
-            return {
-              modelArtifactsInfo: Object(io_utils["g" /* getModelArtifactsInfoForJSON */])(
-                modelArtifacts
-              ),
-            };
-          }
-        }
-      }
-      browser_files_BrowserDownloads.URL_SCHEME = "downloads://";
-      class browser_files_BrowserFiles {
-        constructor(files) {
-          if (files == null || files.length < 1) {
-            throw new Error(
-              `When calling browserFiles, at least 1 file is required, ` + `but received ${files}`
-            );
-          }
-          this.files = files;
-        }
-        async load() {
-          const jsonFile = this.files[0];
-          const weightFiles = this.files.slice(1);
-          return new Promise((resolve, reject) => {
-            const jsonReader = new FileReader();
-            jsonReader.onload = (event) => {
-              // tslint:disable-next-line:no-any
-              const modelJSON = JSON.parse(event.target.result);
-              const modelTopology = modelJSON.modelTopology;
-              if (modelTopology == null) {
-                reject(new Error(`modelTopology field is missing from file ${jsonFile.name}`));
-                return;
-              }
-              if (weightFiles.length === 0) {
-                resolve({ modelTopology });
-              }
-              const weightsManifest = modelJSON.weightsManifest;
-              if (weightsManifest == null) {
-                reject(new Error(`weightManifest field is missing from file ${jsonFile.name}`));
-                return;
-              }
-              let pathToFile;
-              try {
-                pathToFile = this.checkManifestAndWeightFiles(weightsManifest, weightFiles);
-              } catch (err) {
-                reject(err);
-                return;
-              }
-              const weightSpecs = [];
-              const paths = [];
-              const perFileBuffers = [];
-              weightsManifest.forEach((weightsGroup) => {
-                weightsGroup.paths.forEach((path) => {
-                  paths.push(path);
-                  perFileBuffers.push(null);
-                });
-                weightSpecs.push(...weightsGroup.weights);
-              });
-              weightsManifest.forEach((weightsGroup) => {
-                weightsGroup.paths.forEach((path) => {
-                  const weightFileReader = new FileReader();
-                  weightFileReader.onload = (event) => {
-                    // tslint:disable-next-line:no-any
-                    const weightData = event.target.result;
-                    const index = paths.indexOf(path);
-                    perFileBuffers[index] = weightData;
-                    if (perFileBuffers.indexOf(null) === -1) {
-                      resolve({
-                        modelTopology,
-                        weightSpecs,
-                        weightData: Object(io_utils["d" /* concatenateArrayBuffers */])(
-                          perFileBuffers
-                        ),
-                        format: modelJSON.format,
-                        generatedBy: modelJSON.generatedBy,
-                        convertedBy: modelJSON.convertedBy,
-                        userDefinedMetadata: modelJSON.userDefinedMetadata,
-                      });
-                    }
-                  };
-                  weightFileReader.onerror = (error) =>
-                    reject(`Failed to weights data from file of path '${path}'.`);
-                  weightFileReader.readAsArrayBuffer(pathToFile[path]);
-                });
-              });
-            };
-            jsonReader.onerror = (error) =>
-              reject(
-                `Failed to read model topology and weights manifest JSON ` +
-                  `from file '${jsonFile.name}'. BrowserFiles supports loading ` +
-                  `Keras-style tf.Model artifacts only.`
-              );
-            jsonReader.readAsText(jsonFile);
-          });
-        }
-        /**
-         * Check the compatibility between weights manifest and weight files.
-         */
-        checkManifestAndWeightFiles(manifest, files) {
-          const basenames = [];
-          const fileNames = files.map((file) => Object(io_utils["c" /* basename */])(file.name));
-          const pathToFile = {};
-          for (const group of manifest) {
-            group.paths.forEach((path) => {
-              const pathBasename = Object(io_utils["c" /* basename */])(path);
-              if (basenames.indexOf(pathBasename) !== -1) {
-                throw new Error(
-                  `Duplicate file basename found in weights manifest: ` + `'${pathBasename}'`
-                );
-              }
-              basenames.push(pathBasename);
-              if (fileNames.indexOf(pathBasename) === -1) {
-                throw new Error(`Weight file with basename '${pathBasename}' is not provided.`);
-              } else {
-                pathToFile[path] = files[fileNames.indexOf(pathBasename)];
-              }
-            });
-          }
-          if (basenames.length !== files.length) {
-            throw new Error(
-              `Mismatch in the number of files in weights manifest ` +
-                `(${basenames.length}) and the number of weight files provided ` +
-                `(${files.length}).`
-            );
-          }
-          return pathToFile;
-        }
-      }
-      const browserDownloadsRouter = (url) => {
-        if (!Object(environment["c" /* env */])().getBool("IS_BROWSER")) {
-          return null;
-        } else {
-          if (!Array.isArray(url) && url.startsWith(browser_files_BrowserDownloads.URL_SCHEME)) {
-            return browserDownloads(url.slice(browser_files_BrowserDownloads.URL_SCHEME.length));
-          } else {
-            return null;
-          }
-        }
-      };
-      IORouterRegistry.registerSaveRouter(browserDownloadsRouter);
-      /**
-       * Creates an IOHandler that triggers file downloads from the browser.
-       *
-       * The returned `IOHandler` instance can be used as model exporting methods such
-       * as `tf.Model.save` and supports only saving.
-       *
-       * ```js
-       * const model = tf.sequential();
-       * model.add(tf.layers.dense(
-       *     {units: 1, inputShape: [10], activation: 'sigmoid'}));
-       * const saveResult = await model.save('downloads://mymodel');
-       * // This will trigger downloading of two files:
-       * //   'mymodel.json' and 'mymodel.weights.bin'.
-       * console.log(saveResult);
-       * ```
-       *
-       * @param fileNamePrefix Prefix name of the files to be downloaded. For use with
-       *   `tf.Model`, `fileNamePrefix` should follow either of the following two
-       *   formats:
-       *   1. `null` or `undefined`, in which case the default file
-       *      names will be used:
-       *      - 'model.json' for the JSON file containing the model topology and
-       *        weights manifest.
-       *      - 'model.weights.bin' for the binary file containing the binary weight
-       *        values.
-       *   2. A single string or an Array of a single string, as the file name prefix.
-       *      For example, if `'foo'` is provided, the downloaded JSON
-       *      file and binary weights file will be named 'foo.json' and
-       *      'foo.weights.bin', respectively.
-       * @param config Additional configuration for triggering downloads.
-       * @returns An instance of `BrowserDownloads` `IOHandler`.
-       */
-      /**
-       * @doc {
-       *   heading: 'Models',
-       *   subheading: 'Loading',
-       *   namespace: 'io',
-       *   ignoreCI: true
-       * }
-       */
-      function browserDownloads(fileNamePrefix = "model") {
-        return new browser_files_BrowserDownloads(fileNamePrefix);
-      }
-      /**
-       * Creates an IOHandler that loads model artifacts from user-selected files.
-       *
-       * This method can be used for loading from files such as user-selected files
-       * in the browser.
-       * When used in conjunction with `tf.loadLayersModel`, an instance of
-       * `tf.LayersModel` (Keras-style) can be constructed from the loaded artifacts.
-       *
-       * ```js
-       * // Note: This code snippet won't run properly without the actual file input
-       * //   elements in the HTML DOM.
-       *
-       * // Suppose there are two HTML file input (``)
-       * // elements.
-       * const uploadJSONInput = document.getElementById('upload-json');
-       * const uploadWeightsInput = document.getElementById('upload-weights');
-       * const model = await tf.loadLayersModel(tf.io.browserFiles(
-       *     [uploadJSONInput.files[0], uploadWeightsInput.files[0]]));
-       * ```
-       *
-       * @param files `File`s to load from. Currently, this function supports only
-       *   loading from files that contain Keras-style models (i.e., `tf.Model`s), for
-       *   which an `Array` of `File`s is expected (in that order):
-       *   - A JSON file containing the model topology and weight manifest.
-       *   - Optionally, One or more binary files containing the binary weights.
-       *     These files must have names that match the paths in the `weightsManifest`
-       *     contained by the aforementioned JSON file, or errors will be thrown
-       *     during loading. These weights files have the same format as the ones
-       *     generated by `tensorflowjs_converter` that comes with the `tensorflowjs`
-       *     Python PIP package. If no weights files are provided, only the model
-       *     topology will be loaded from the JSON file above.
-       * @returns An instance of `Files` `IOHandler`.
-       */
-      /**
-       * @doc {
-       *   heading: 'Models',
-       *   subheading: 'Loading',
-       *   namespace: 'io',
-       *   ignoreCI: true
-       * }
-       */
-      function browserFiles(files) {
-        return new browser_files_BrowserFiles(files);
-      }
-      //# sourceMappingURL=browser_files.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/io/progress.js
-      /**
-       * @license
-       * Copyright 2019 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Monitor Promise.all progress, fire onProgress callback function.
-       *
-       * @param promises Promise list going to be monitored
-       * @param onProgress Callback function. Fired when a promise resolved.
-       * @param startFraction Optional fraction start. Default to 0.
-       * @param endFraction Optional fraction end. Default to 1.
-       */
-      function monitorPromisesProgress(promises, onProgress, startFraction, endFraction) {
-        checkPromises(promises);
-        startFraction = startFraction == null ? 0 : startFraction;
-        endFraction = endFraction == null ? 1 : endFraction;
-        checkFraction(startFraction, endFraction);
-        let resolvedPromise = 0;
-        const registerMonitor = (promise) => {
-          promise.then((value) => {
-            const fraction =
-              startFraction + (++resolvedPromise / promises.length) * (endFraction - startFraction);
-            // pass fraction as parameter to callback function.
-            onProgress(fraction);
-            return value;
-          });
-          return promise;
-        };
-        function checkPromises(promises) {
-          Object(util["assert"])(
-            promises != null && Array.isArray(promises) && promises.length > 0,
-            () => "promises must be a none empty array"
-          );
-        }
-        function checkFraction(startFraction, endFraction) {
-          Object(util["assert"])(
-            startFraction >= 0 && startFraction <= 1,
-            () =>
-              `Progress fraction must be in range [0, 1], but ` +
-              `got startFraction ${startFraction}`
-          );
-          Object(util["assert"])(
-            endFraction >= 0 && endFraction <= 1,
-            () =>
-              `Progress fraction must be in range [0, 1], but ` + `got endFraction ${endFraction}`
-          );
-          Object(util["assert"])(
-            endFraction >= startFraction,
-            () =>
-              `startFraction must be no more than endFraction, but ` +
-              `got startFraction ${startFraction} and endFraction ` +
-              `${endFraction}`
-          );
-        }
-        return Promise.all(promises.map(registerMonitor));
-      }
-      //# sourceMappingURL=progress.js.map
-      // EXTERNAL MODULE: ./node_modules/@tensorflow/tfjs-core/dist/io/types.js
-      var types = __webpack_require__(34);
-
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/io/weights_loader.js
-      /**
-       * @license
-       * Copyright 2018 Google LLC. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Reads binary weights data from a number of URLs.
-       *
-       * @param fetchURLs URLs to send the HTTP requests at, using `fetch` calls.
-       * @param requestOptions RequestInit (options) for the HTTP requests.
-       * @param fetchFunc Optional overriding value for the `window.fetch` function.
-       * @param onProgress Optional, progress callback function, fired periodically
-       *   before the load is completed.
-       * @returns A `Promise` of an Array of `ArrayBuffer`. The Array has the same
-       *   length as `fetchURLs`.
-       */
-      async function loadWeightsAsArrayBuffer(fetchURLs, loadOptions) {
-        if (loadOptions == null) {
-          loadOptions = {};
-        }
-        const fetchFunc =
-          loadOptions.fetchFunc == null
-            ? Object(environment["c" /* env */])().platform.fetch
-            : loadOptions.fetchFunc;
-        // Create the requests for all of the weights in parallel.
-        const requests = fetchURLs.map((fetchURL) =>
-          fetchFunc(fetchURL, loadOptions.requestInit, { isBinary: true })
-        );
-        const fetchStartFraction = 0;
-        const fetchEndFraction = 0.5;
-        const responses =
-          loadOptions.onProgress == null
-            ? await Promise.all(requests)
-            : await monitorPromisesProgress(
-                requests,
-                loadOptions.onProgress,
-                fetchStartFraction,
-                fetchEndFraction
-              );
-        const bufferPromises = responses.map((response) => response.arrayBuffer());
-        const bufferStartFraction = 0.5;
-        const bufferEndFraction = 1;
-        const buffers =
-          loadOptions.onProgress == null
-            ? await Promise.all(bufferPromises)
-            : await monitorPromisesProgress(
-                bufferPromises,
-                loadOptions.onProgress,
-                bufferStartFraction,
-                bufferEndFraction
-              );
-        return buffers;
-      }
-      /**
-       * Reads a weights manifest JSON configuration, fetches the weights and
-       * returns them as `Tensor`s.
-       *
-       * @param manifest The weights manifest JSON.
-       * @param filePathPrefix The path prefix for filenames given in the manifest.
-       *     Defaults to the empty string.
-       * @param weightNames The names of the weights to be fetched.
-       */
-      async function loadWeights(manifest, filePathPrefix = "", weightNames, requestInit) {
-        // TODO(nsthorat): Groups are currently fetched atomically. If you need a
-        // single weight from a group, the whole group will be fetched. At a future
-        // date, we should support fetching only the individual shards within a
-        // group that are needed to reconstruct the requested weight.
-        // TODO(cais): Use `decodeWeights` for implementation.
-        const fetchWeights = (fetchUrls) => loadWeightsAsArrayBuffer(fetchUrls, { requestInit });
-        const loadWeights = weightsLoaderFactory(fetchWeights);
-        return loadWeights(manifest, filePathPrefix, weightNames);
-      }
-      /**
-       * Creates a function, which reads a weights manifest JSON configuration,
-       * fetches the weight files using the specified function and returns them as
-       * `Tensor`s.
-       *
-       * ```js
-       * // example for creating a nodejs weight loader, which reads the weight files
-       * // from disk using fs.readFileSync
-       *
-       * import * as fs from 'fs'
-       *
-       * const fetchWeightsFromDisk = (filePaths: string[]) =>
-       *   filePaths.map(filePath => fs.readFileSync(filePath).buffer)
-       *
-       * const loadWeights = tf.io.weightsLoaderFactory(fetchWeightsFromDisk)
-       *
-       * const manifest = JSON.parse(
-       *   fs.readFileSync('./my_model-weights_manifest').toString()
-       * )
-       * const weightMap = await loadWeights(manifest, './')
-       * ```
-       * @param fetchWeightsFunction The function used for fetching the weight files.
-       * @returns Weight loading function.
-       */
-      function weightsLoaderFactory(fetchWeightsFunction) {
-        return async (manifest, filePathPrefix = "", weightNames) => {
-          // Collect all the groups, weights, and their relative offsets to be
-          // fetched.
-          const groupIndicesToFetchMap = manifest.map(() => false);
-          const groupWeightsToFetch = {};
-          const weightsFound = weightNames != null ? weightNames.map(() => false) : [];
-          const allManifestWeightNames = [];
-          manifest.forEach((manifestGroupConfig, groupIndex) => {
-            let groupOffset = 0;
-            manifestGroupConfig.weights.forEach((weightsEntry) => {
-              const rawDtype =
-                "quantization" in weightsEntry
-                  ? weightsEntry.quantization.dtype
-                  : weightsEntry.dtype;
-              const weightsBytes =
-                types["a" /* DTYPE_VALUE_SIZE_MAP */][rawDtype] *
-                util["sizeFromShape"](weightsEntry.shape);
-              const enqueueWeightsForFetchingFn = () => {
-                groupIndicesToFetchMap[groupIndex] = true;
-                if (groupWeightsToFetch[groupIndex] == null) {
-                  groupWeightsToFetch[groupIndex] = [];
-                }
-                groupWeightsToFetch[groupIndex].push({
-                  manifestEntry: weightsEntry,
-                  groupOffset,
-                  sizeBytes: weightsBytes,
-                });
-              };
-              if (weightNames != null) {
-                weightNames.forEach((weightName, weightIndex) => {
-                  if (weightName === weightsEntry.name) {
-                    enqueueWeightsForFetchingFn();
-                    weightsFound[weightIndex] = true;
-                  }
-                });
-              } else {
-                enqueueWeightsForFetchingFn();
-              }
-              allManifestWeightNames.push(weightsEntry.name);
-              groupOffset += weightsBytes;
-            });
-          });
-          if (!weightsFound.every((found) => found)) {
-            const weightsNotFound = weightNames.filter((_, i) => !weightsFound[i]);
-            throw new Error(
-              `Could not find weights in manifest with names: ` +
-                `${weightsNotFound.join(", ")}. \n` +
-                `Manifest JSON has weights with names: ` +
-                `${allManifestWeightNames.join(", ")}.`
-            );
-          }
-          // Convert the one-hot boolean groupId => shouldFetch map to a list of group
-          // IDs.
-          const groupIndicesToFetch = groupIndicesToFetchMap.reduce(
-            (accumulator, shouldFetch, i) => {
-              if (shouldFetch) {
-                accumulator.push(i);
-              }
-              return accumulator;
-            },
-            []
-          );
-          const fetchUrls = [];
-          groupIndicesToFetch.forEach((i) => {
-            manifest[i].paths.forEach((filepath) => {
-              const fetchUrl =
-                filePathPrefix + (!filePathPrefix.endsWith("/") ? "/" : "") + filepath;
-              fetchUrls.push(fetchUrl);
-            });
-          });
-          const buffers = await fetchWeightsFunction(fetchUrls);
-          const weightsTensorMap = {};
-          let bufferIndexOffset = 0;
-          groupIndicesToFetch.forEach((i) => {
-            const numBuffers = manifest[i].paths.length;
-            let groupBytes = 0;
-            for (let i = 0; i < numBuffers; i++) {
-              groupBytes += buffers[bufferIndexOffset + i].byteLength;
-            }
-            // Create a buffer for the whole group.
-            const groupBuffer = new ArrayBuffer(groupBytes);
-            const groupByteBuffer = new Uint8Array(groupBuffer);
-            let groupBufferOffset = 0;
-            for (let i = 0; i < numBuffers; i++) {
-              const buffer = new Uint8Array(buffers[bufferIndexOffset + i]);
-              groupByteBuffer.set(buffer, groupBufferOffset);
-              groupBufferOffset += buffer.byteLength;
-            }
-            const weightsEntries = groupWeightsToFetch[i];
-            weightsEntries.forEach((weightsEntry) => {
-              const byteBuffer = groupBuffer.slice(
-                weightsEntry.groupOffset,
-                weightsEntry.groupOffset + weightsEntry.sizeBytes
-              );
-              const nameToTensorMap = Object(io_utils["e" /* decodeWeights */])(byteBuffer, [
-                weightsEntry.manifestEntry,
-              ]);
-              for (const name in nameToTensorMap) {
-                weightsTensorMap[name] = nameToTensorMap[name];
-              }
-            });
-            bufferIndexOffset += numBuffers;
-          });
-          return weightsTensorMap;
-        };
-      }
-      //# sourceMappingURL=weights_loader.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/io/http.js
-      /**
-       * @license
-       * Copyright 2018 Google LLC. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-      /**
-       * IOHandler implementations based on HTTP requests in the web browser.
-       *
-       * Uses [`fetch`](https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API).
-       */
-
-      const OCTET_STREAM_MIME_TYPE = "application/octet-stream";
-      const JSON_TYPE = "application/json";
-      class http_HTTPRequest {
-        constructor(path, loadOptions) {
-          this.DEFAULT_METHOD = "POST";
-          if (loadOptions == null) {
-            loadOptions = {};
-          }
-          this.weightPathPrefix = loadOptions.weightPathPrefix;
-          this.onProgress = loadOptions.onProgress;
-          if (loadOptions.fetchFunc != null) {
-            Object(util["assert"])(
-              typeof loadOptions.fetchFunc === "function",
-              () =>
-                "Must pass a function that matches the signature of " +
-                "`fetch` (see " +
-                "https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"
-            );
-            this.fetch = loadOptions.fetchFunc;
-          } else {
-            this.fetch = Object(environment["c" /* env */])().platform.fetch;
-          }
-          Object(util["assert"])(
-            path != null && path.length > 0,
-            () => "URL path for http must not be null, undefined or " + "empty."
-          );
-          if (Array.isArray(path)) {
-            Object(util["assert"])(
-              path.length === 2,
-              () =>
-                "URL paths for http must have a length of 2, " +
-                `(actual length is ${path.length}).`
-            );
-          }
-          this.path = path;
-          if (loadOptions.requestInit != null && loadOptions.requestInit.body != null) {
-            throw new Error("requestInit is expected to have no pre-existing body, but has one.");
-          }
-          this.requestInit = loadOptions.requestInit || {};
-        }
-        async save(modelArtifacts) {
-          if (modelArtifacts.modelTopology instanceof ArrayBuffer) {
-            throw new Error(
-              "BrowserHTTPRequest.save() does not support saving model topology " +
-                "in binary formats yet."
-            );
-          }
-          const init = Object.assign({ method: this.DEFAULT_METHOD }, this.requestInit);
-          init.body = new FormData();
-          const weightsManifest = [
-            {
-              paths: ["./model.weights.bin"],
-              weights: modelArtifacts.weightSpecs,
-            },
-          ];
-          const modelTopologyAndWeightManifest = {
-            modelTopology: modelArtifacts.modelTopology,
-            format: modelArtifacts.format,
-            generatedBy: modelArtifacts.generatedBy,
-            convertedBy: modelArtifacts.convertedBy,
-            userDefinedMetadata: modelArtifacts.userDefinedMetadata,
-            weightsManifest,
-          };
-          init.body.append(
-            "model.json",
-            new Blob([JSON.stringify(modelTopologyAndWeightManifest)], { type: JSON_TYPE }),
-            "model.json"
-          );
-          if (modelArtifacts.weightData != null) {
-            init.body.append(
-              "model.weights.bin",
-              new Blob([modelArtifacts.weightData], { type: OCTET_STREAM_MIME_TYPE }),
-              "model.weights.bin"
-            );
-          }
-          const response = await this.fetch(this.path, init);
-          if (response.ok) {
-            return {
-              modelArtifactsInfo: Object(io_utils["g" /* getModelArtifactsInfoForJSON */])(
-                modelArtifacts
-              ),
-              responses: [response],
-            };
-          } else {
-            throw new Error(
-              `BrowserHTTPRequest.save() failed due to HTTP response status ` +
-                `${response.status}.`
-            );
-          }
-        }
-        /**
-         * Load model artifacts via HTTP request(s).
-         *
-         * See the documentation to `tf.io.http` for details on the saved
-         * artifacts.
-         *
-         * @returns The loaded model artifacts (if loading succeeds).
-         */
-        async load() {
-          const modelConfigRequest = await this.fetch(this.path, this.requestInit);
-          if (!modelConfigRequest.ok) {
-            throw new Error(
-              `Request to ${this.path} failed with status code ` +
-                `${modelConfigRequest.status}. Please verify this URL points to ` +
-                `the model JSON of the model to load.`
-            );
-          }
-          let modelConfig;
-          try {
-            modelConfig = await modelConfigRequest.json();
-          } catch (e) {
-            let message = `Failed to parse model JSON of response from ${this.path}.`;
-            // TODO(nsthorat): Remove this after some time when we're comfortable that
-            // .pb files are mostly gone.
-            if (this.path.endsWith(".pb")) {
-              message +=
-                " Your path contains a .pb file extension. " +
-                "Support for .pb models have been removed in TensorFlow.js 1.0 " +
-                "in favor of .json models. You can re-convert your Python " +
-                "TensorFlow model using the TensorFlow.js 1.0 conversion scripts " +
-                "or you can convert your.pb models with the 'pb2json'" +
-                "NPM script in the tensorflow/tfjs-converter repository.";
-            } else {
-              message +=
-                " Please make sure the server is serving valid " + "JSON for this request.";
-            }
-            throw new Error(message);
-          }
-          const modelTopology = modelConfig.modelTopology;
-          const weightsManifest = modelConfig.weightsManifest;
-          const generatedBy = modelConfig.generatedBy;
-          const convertedBy = modelConfig.convertedBy;
-          const format = modelConfig.format;
-          const userDefinedMetadata = modelConfig.userDefinedMetadata;
-          // We do not allow both modelTopology and weightsManifest to be missing.
-          if (modelTopology == null && weightsManifest == null) {
-            throw new Error(
-              `The JSON from HTTP path ${this.path} contains neither model ` +
-                `topology or manifest for weights.`
-            );
-          }
-          let weightSpecs;
-          let weightData;
-          if (weightsManifest != null) {
-            const results = await this.loadWeights(weightsManifest);
-            [weightSpecs, weightData] = results;
-          }
-          return {
-            modelTopology,
-            weightSpecs,
-            weightData,
-            userDefinedMetadata,
-            generatedBy,
-            convertedBy,
-            format,
-          };
-        }
-        async loadWeights(weightsManifest) {
-          const weightPath = Array.isArray(this.path) ? this.path[1] : this.path;
-          const [prefix, suffix] = parseUrl(weightPath);
-          const pathPrefix = this.weightPathPrefix || prefix;
-          const weightSpecs = [];
-          for (const entry of weightsManifest) {
-            weightSpecs.push(...entry.weights);
-          }
-          const fetchURLs = [];
-          weightsManifest.forEach((weightsGroup) => {
-            weightsGroup.paths.forEach((path) => {
-              fetchURLs.push(pathPrefix + path + suffix);
-            });
-          });
-          const buffers = await loadWeightsAsArrayBuffer(fetchURLs, {
-            requestInit: this.requestInit,
-            fetchFunc: this.fetch,
-            onProgress: this.onProgress,
-          });
-          return [weightSpecs, Object(io_utils["d" /* concatenateArrayBuffers */])(buffers)];
-        }
-      }
-      http_HTTPRequest.URL_SCHEME_REGEX = /^https?:\/\//;
-      /**
-       * Extract the prefix and suffix of the url, where the prefix is the path before
-       * the last file, and suffix is the search params after the last file.
-       * ```
-       * const url = 'http://tfhub.dev/model/1/tensorflowjs_model.pb?tfjs-format=file'
-       * [prefix, suffix] = parseUrl(url)
-       * // prefix = 'http://tfhub.dev/model/1/'
-       * // suffix = '?tfjs-format=file'
-       * ```
-       * @param url the model url to be parsed.
-       */
-      function parseUrl(url) {
-        const lastSlash = url.lastIndexOf("/");
-        const lastSearchParam = url.lastIndexOf("?");
-        const prefix = url.substring(0, lastSlash);
-        const suffix = lastSearchParam > lastSlash ? url.substring(lastSearchParam) : "";
-        return [prefix + "/", suffix];
-      }
-      function isHTTPScheme(url) {
-        return url.match(http_HTTPRequest.URL_SCHEME_REGEX) != null;
-      }
-      const httpRouter = (url, loadOptions) => {
-        if (
-          typeof fetch === "undefined" &&
-          (loadOptions == null || loadOptions.fetchFunc == null)
-        ) {
-          // `http` uses `fetch` or `node-fetch`, if one wants to use it in
-          // an environment that is not the browser or node they have to setup a
-          // global fetch polyfill.
-          return null;
-        } else {
-          let isHTTP = true;
-          if (Array.isArray(url)) {
-            isHTTP = url.every((urlItem) => isHTTPScheme(urlItem));
-          } else {
-            isHTTP = isHTTPScheme(url);
-          }
-          if (isHTTP) {
-            return http(url, loadOptions);
-          }
-        }
-        return null;
-      };
-      IORouterRegistry.registerSaveRouter(httpRouter);
-      IORouterRegistry.registerLoadRouter(httpRouter);
-      /**
-       * Creates an IOHandler subtype that sends model artifacts to HTTP server.
-       *
-       * An HTTP request of the `multipart/form-data` mime type will be sent to the
-       * `path` URL. The form data includes artifacts that represent the topology
-       * and/or weights of the model. In the case of Keras-style `tf.Model`, two
-       * blobs (files) exist in form-data:
-       *   - A JSON file consisting of `modelTopology` and `weightsManifest`.
-       *   - A binary weights file consisting of the concatenated weight values.
-       * These files are in the same format as the one generated by
-       * [tfjs_converter](https://js.tensorflow.org/tutorials/import-keras.html).
-       *
-       * The following code snippet exemplifies the client-side code that uses this
-       * function:
-       *
-       * ```js
-       * const model = tf.sequential();
-       * model.add(
-       *     tf.layers.dense({units: 1, inputShape: [100], activation: 'sigmoid'}));
-       *
-       * const saveResult = await model.save(tf.io.http(
-       *     'http://model-server:5000/upload', {requestInit: {method: 'PUT'}}));
-       * console.log(saveResult);
-       * ```
-       *
-       * If the default `POST` method is to be used, without any custom parameters
-       * such as headers, you can simply pass an HTTP or HTTPS URL to `model.save`:
-       *
-       * ```js
-       * const saveResult = await model.save('http://model-server:5000/upload');
-       * ```
-       *
-       * The following GitHub Gist
-       * https://gist.github.com/dsmilkov/1b6046fd6132d7408d5257b0976f7864
-       * implements a server based on [flask](https://github.com/pallets/flask) that
-       * can receive the request. Upon receiving the model artifacts via the requst,
-       * this particular server reconsistutes instances of [Keras
-       * Models](https://keras.io/models/model/) in memory.
-       *
-       *
-       * @param path A URL path to the model.
-       *   Can be an absolute HTTP path (e.g.,
-       *   'http://localhost:8000/model-upload)') or a relative path (e.g.,
-       *   './model-upload').
-       * @param requestInit Request configurations to be used when sending
-       *    HTTP request to server using `fetch`. It can contain fields such as
-       *    `method`, `credentials`, `headers`, `mode`, etc. See
-       *    https://developer.mozilla.org/en-US/docs/Web/API/Request/Request
-       *    for more information. `requestInit` must not have a body, because the
-       * body will be set by TensorFlow.js. File blobs representing the model
-       * topology (filename: 'model.json') and the weights of the model (filename:
-       * 'model.weights.bin') will be appended to the body. If `requestInit` has a
-       * `body`, an Error will be thrown.
-       * @param loadOptions Optional configuration for the loading. It includes the
-       *   following fields:
-       *   - weightPathPrefix Optional, this specifies the path prefix for weight
-       *     files, by default this is calculated from the path param.
-       *   - fetchFunc Optional, custom `fetch` function. E.g., in Node.js,
-       *     the `fetch` from node-fetch can be used here.
-       *   - onProgress Optional, progress callback function, fired periodically
-       *     before the load is completed.
-       * @returns An instance of `IOHandler`.
-       */
-      /**
-       * @doc {
-       *   heading: 'Models',
-       *   subheading: 'Loading',
-       *   namespace: 'io',
-       *   ignoreCI: true
-       * }
-       */
-      function http(path, loadOptions) {
-        return new http_HTTPRequest(path, loadOptions);
-      }
-      /**
-       * Deprecated. Use `tf.io.http`.
-       * @param path
-       * @param loadOptions
-       */
-      function browserHTTPRequest(path, loadOptions) {
-        return http(path, loadOptions);
-      }
-      //# sourceMappingURL=http.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/io/passthrough.js
-      /**
-       * @license
-       * Copyright 2018 Google LLC. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-      class PassthroughLoader {
-        constructor(modelArtifacts) {
-          this.modelArtifacts = modelArtifacts;
-        }
-        async load() {
-          return this.modelArtifacts;
-        }
-      }
-      class PassthroughSaver {
-        constructor(saveHandler) {
-          this.saveHandler = saveHandler;
-        }
-        async save(modelArtifacts) {
-          return this.saveHandler(modelArtifacts);
-        }
-      }
-      /**
-       * Creates an IOHandler that loads model artifacts from memory.
-       *
-       * When used in conjunction with `tf.loadLayersModel`, an instance of
-       * `tf.LayersModel` (Keras-style) can be constructed from the loaded artifacts.
-       *
-       * ```js
-       * const model = await tf.loadLayersModel(tf.io.fromMemory(
-       *     modelTopology, weightSpecs, weightData));
-       * ```
-       *
-       * @param modelArtifacts a object containing model topology (i.e., parsed from
-       *   the JSON format).
-       * @param weightSpecs An array of `WeightsManifestEntry` objects describing the
-       *   names, shapes, types, and quantization of the weight data.
-       * @param weightData A single `ArrayBuffer` containing the weight data,
-       *   concatenated in the order described by the weightSpecs.
-       * @param trainingConfig Model training configuration. Optional.
-       *
-       * @returns A passthrough `IOHandler` that simply loads the provided data.
-       */
-      function fromMemory(modelArtifacts, weightSpecs, weightData, trainingConfig) {
-        if (arguments.length === 1) {
-          const isModelArtifacts =
-            modelArtifacts.modelTopology != null || modelArtifacts.weightSpecs != null;
-          if (isModelArtifacts) {
-            return new PassthroughLoader(modelArtifacts);
-          } else {
-            // Legacy support: with only modelTopology.
-            // TODO(cais): Remove this deprecated API.
-            console.warn(
-              "Please call tf.io.fromMemory() with only one argument. " +
-                "The argument should be of type ModelArtifacts. " +
-                "The multi-argument signature of tf.io.fromMemory() has been " +
-                "deprecated and will be removed in a future release."
-            );
-            return new PassthroughLoader({ modelTopology: modelArtifacts });
-          }
-        } else {
-          // Legacy support.
-          // TODO(cais): Remove this deprecated API.
-          console.warn(
-            "Please call tf.io.fromMemory() with only one argument. " +
-              "The argument should be of type ModelArtifacts. " +
-              "The multi-argument signature of tf.io.fromMemory() has been " +
-              "deprecated and will be removed in a future release."
-          );
-          return new PassthroughLoader({
-            modelTopology: modelArtifacts,
-            weightSpecs,
-            weightData,
-            trainingConfig,
-          });
-        }
-      }
-      /**
-       * Creates an IOHandler that passes saved model artifacts to a callback.
-       *
-       * ```js
-       * function handleSave(artifacts) {
-       *   // ... do something with the artifacts ...
-       *   return {modelArtifactsInfo: {...}, ...};
-       * }
-       *
-       * const saveResult = model.save(tf.io.withSaveHandler(handleSave));
-       * ```
-       *
-       * @param saveHandler A function that accepts a `ModelArtifacts` and returns a
-       *     `SaveResult`.
-       */
-      function withSaveHandler(saveHandler) {
-        return new PassthroughSaver(saveHandler);
-      }
-      //# sourceMappingURL=passthrough.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/io/io.js
-      /**
-       * @license
-       * Copyright 2018 Google LLC. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-      // Importing local_storage and indexed_db is necessary for the routers to be
-      // registered.
-
-      //# sourceMappingURL=io.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/one_hot.js
-      /**
-       * @license
-       * Copyright 2020 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Creates a one-hot `tf.Tensor`. The locations represented by `indices` take
-       * value `onValue` (defaults to 1), while all other locations take value
-       * `offValue` (defaults to 0). If `indices` is rank `R`, the output has rank
-       * `R+1` with the last axis of size `depth`.
-       *
-       * ```js
-       * tf.oneHot(tf.tensor1d([0, 1], 'int32'), 3).print();
-       * ```
-       *
-       * @param indices `tf.Tensor` of indices with dtype `int32`.
-       * @param depth The depth of the one hot dimension.
-       * @param onValue A number used to fill in the output when the index matches
-       * the location.
-       * @param offValue A number used to fill in the output when the index does
-       *     not match the location.
-       */
-      /** @doc {heading: 'Tensors', subheading: 'Creation'} */
-      function oneHot_(indices, depth, onValue = 1, offValue = 0) {
-        if (depth < 2) {
-          throw new Error(`Error in oneHot: depth must be >=2, but it is ${depth}`);
-        }
-        let $indices = Object(tensor_util_env["a" /* convertToTensor */])(
-          indices,
-          "indices",
-          "oneHot",
-          "int32"
-        );
-        const outShape = [...$indices.shape, depth];
-        $indices = $indices.flatten();
-        const forward = (backend, save) => {
-          save([$indices]);
-          return reshape(backend.oneHot($indices, depth, onValue, offValue), outShape);
-        };
-        const inputs = { indices: $indices };
-        const attrs = { depth, onValue, offValue };
-        return engine["a" /* ENGINE */].runKernelFunc(
-          forward,
-          inputs,
-          null /* grad */,
-          kernel_names["cb" /* OneHot */],
-          attrs
-        );
-      }
-      const oneHot = Object(operation["a" /* op */])({ oneHot_ });
-      //# sourceMappingURL=one_hot.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/confusion_matrix.js
-      /**
-       * @license
-       * Copyright 2018 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      /**
-       * Computes the confusion matrix from true labels and predicted labels.
-       *
-       * ```js
-       * const labels = tf.tensor1d([0, 1, 2, 1, 0], 'int32');
-       * const predictions = tf.tensor1d([0, 2, 2, 1, 0], 'int32');
-       * const numClasses = 3;
-       * const out = tf.math.confusionMatrix(labels, predictions, numClasses);
-       * out.print();
-       * // Expected output matrix:
-       * // [[2, 0, 0],
-       * //  [0, 1, 1],
-       * //  [0, 0, 1]]
-       * ```
-       *
-       * @param labels The target labels, assumed to be 0-based integers
-       *   for the classes. The shape is `[numExamples]`, where
-       *   `numExamples` is the number of examples included.
-       * @param predictions The predicted classes, assumed to be
-       *   0-based integers for the classes. Must have the same shape as `labels`.
-       * @param numClasses Number of all classes, as an integer.
-       *   Its value must be larger than the largest element in `labels` and
-       *   `predictions`.
-       * @returns The confusion matrix as a int32-type 2D tensor. The value at
-       *   row `r` and column `c` is the number of times examples of actual class
-       *   `r` were predicted as class `c`.
-       */
-      /** @doc {heading: 'Operations', subheading: 'Evaluation'} */
-      function confusionMatrix_(labels, predictions, numClasses) {
-        const $labels = Object(tensor_util_env["a" /* convertToTensor */])(
-          labels,
-          "labels",
-          "confusionMatrix"
-        );
-        const $predictions = Object(tensor_util_env["a" /* convertToTensor */])(
-          predictions,
-          "predictions",
-          "confusionMatrix"
-        );
-        util["assert"](
-          numClasses == null || (numClasses > 0 && Number.isInteger(numClasses)),
-          () => `If provided, numClasses must be a positive integer, ` + `but got ${numClasses}`
-        );
-        util["assert"](
-          $labels.rank === 1,
-          () => `Expected the rank of labels to be 1, but got ${$labels.rank}`
-        );
-        util["assert"](
-          $predictions.rank === 1,
-          () => `Expected the rank of predictions to be 1, ` + `but got ${$predictions.rank}`
-        );
-        util["assert"](
-          $labels.shape[0] === $predictions.shape[0],
-          () =>
-            `Mismatch in the number of examples: ` +
-            `${$labels.shape[0]} vs. ${$predictions.shape[0]}. ` +
-            `Labels and predictions should have the same number of elements.`
-        );
-        util["assert"](
-          numClasses > 0 && Number.isInteger(numClasses),
-          () => `numClasses is required to be a positive integer, but got ` + `${numClasses}`
-        );
-        // TODO(cais): In the future, if oneHot supports tensors inputs for
-        //   `numClasses`, `confusionMatrix` can make `numClasses` optional.
-        const oneHotLabels = oneHot($labels.asType("int32"), numClasses);
-        const oneHotPredictions = oneHot($predictions.asType("int32"), numClasses);
-        const oneHotLabelsT = oneHotLabels.transpose();
-        return oneHotLabelsT.matMul(oneHotPredictions).asType("int32");
-      }
-      const confusionMatrix = Object(operation["a" /* op */])({ confusionMatrix_ });
-      //# sourceMappingURL=confusion_matrix.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/math.js
-      /**
-       * @license
-       * Copyright 2018 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-      /**
-       * Exports under the tf.math.* namespace.
-       */
-
-      //# sourceMappingURL=math.js.map
-      // CONCATENATED MODULE: ./node_modules/@tensorflow/tfjs-core/dist/ops/browser.js
-      /**
-       * @license
-       * Copyright 2019 Google Inc. All Rights Reserved.
-       * Licensed under the Apache License, Version 2.0 (the "License");
-       * you may not use this file except in compliance with the License.
-       * You may obtain a copy of the License at
-       *
-       * http://www.apache.org/licenses/LICENSE-2.0
-       *
-       * Unless required by applicable law or agreed to in writing, software
-       * distributed under the License is distributed on an "AS IS" BASIS,
-       * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-       * See the License for the specific language governing permissions and
-       * limitations under the License.
-       * =============================================================================
-       */
-
-      let fromPixels2DContext;
-      /**
-       * Creates a `tf.Tensor` from an image.
-       *
-       * ```js
-       * const image = new ImageData(1, 1);
-       * image.data[0] = 100;
-       * image.data[1] = 150;
-       * image.data[2] = 200;
-       * image.data[3] = 255;
-       *
-       * tf.browser.fromPixels(image).print();
-       * ```
-       *
-       * @param pixels The input image to construct the tensor from. The
-       * supported image types are all 4-channel. You can also pass in an image
-       * object with following attributes:
-       * `{data: Uint8Array; width: number; height: number}`
-       * @param numChannels The number of channels of the output tensor. A
-       * numChannels value less than 4 allows you to ignore channels. Defaults to
-       * 3 (ignores alpha channel of input image).
-       */
-      /** @doc {heading: 'Browser', namespace: 'browser', ignoreCI: true} */
-      function fromPixels_(pixels, numChannels = 3) {
-        // Sanity checks.
-        if (numChannels > 4) {
-          throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");
-        }
-        if (pixels == null) {
-          throw new Error("pixels passed to tf.browser.fromPixels() can not be null");
-        }
-        let isPixelData = false;
-        let isImageData = false;
-        let isVideo = false;
-        let isImage = false;
-        let isCanvasLike = false;
-        if (pixels.data instanceof Uint8Array) {
-          isPixelData = true;
-        } else if (typeof ImageData !== "undefined" && pixels instanceof ImageData) {
-          isImageData = true;
-        } else if (typeof HTMLVideoElement !== "undefined" && pixels instanceof HTMLVideoElement) {
-          isVideo = true;
-        } else if (typeof HTMLImageElement !== "undefined" && pixels instanceof HTMLImageElement) {
-          isImage = true;
-          // tslint:disable-next-line: no-any
-        } else if (pixels.getContext != null) {
-          isCanvasLike = true;
-        } else {
-          throw new Error(
-            "pixels passed to tf.browser.fromPixels() must be either an " +
-              `HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData ` +
-              `in browser, or OffscreenCanvas, ImageData in webworker` +
-              ` or {data: Uint32Array, width: number, height: number}, ` +
-              `but was ${pixels.constructor.name}`
-          );
-        }
-        if (isVideo) {
-          const HAVE_CURRENT_DATA_READY_STATE = 2;
-          if (isVideo && pixels.readyState < HAVE_CURRENT_DATA_READY_STATE) {
-            throw new Error(
-              "The video element has not loaded data yet. Please wait for " +
-                "`loadeddata` event on the