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"../../../node_modules/@huggingface/transformers/dist/webpack:/@huggingface/transformers/src/transformers.js", "../../javascript/controllers/depth_text_controller.js", "../../javascript/controllers/flash_controller.js", "../../javascript/controllers/history_controller.js", "../../javascript/controllers/image_modal_controller.js", "../../javascript/controllers/image_overflow_controller.js", "../../javascript/controllers/infinite_scroll_controller.js", "../../javascript/controllers/lucide_controller.js", "../../javascript/controllers/navigation_controller.js", "../../javascript/controllers/prompt_builder_controller.js", "../../../node_modules/sortablejs/modular/sortable.esm.js", "../../javascript/controllers/sortable_controller.js", "../../javascript/controllers/index.js", "../../javascript/application.js"],
"sourcesContent": ["export default {\n logger: typeof console !== \"undefined\" ? console : undefined,\n WebSocket: typeof WebSocket !== \"undefined\" ? WebSocket : undefined,\n}\n", "import adapters from \"./adapters\"\n\n// The logger is disabled by default. You can enable it with:\n//\n// ActionCable.logger.enabled = true\n//\n// Example:\n//\n// import * as ActionCable from '@rails/actioncable'\n//\n// ActionCable.logger.enabled = true\n// ActionCable.logger.log('Connection Established.')\n//\n\nexport default {\n log(...messages) {\n if (this.enabled) {\n messages.push(Date.now())\n adapters.logger.log(\"[ActionCable]\", ...messages)\n }\n },\n}\n", "import logger from \"./logger\"\n\n// Responsible for ensuring the cable connection is in good health by validating the heartbeat pings sent from the server, and attempting\n// revival reconnections if things go astray. Internal class, not intended for direct user manipulation.\n\nconst now = () => new Date().getTime()\n\nconst secondsSince = time => (now() - time) / 1000\n\nclass ConnectionMonitor {\n constructor(connection) {\n this.visibilityDidChange = this.visibilityDidChange.bind(this)\n this.connection = connection\n this.reconnectAttempts = 0\n }\n\n start() {\n if (!this.isRunning()) {\n this.startedAt = now()\n delete this.stoppedAt\n this.startPolling()\n addEventListener(\"visibilitychange\", this.visibilityDidChange)\n logger.log(`ConnectionMonitor started. stale threshold = ${this.constructor.staleThreshold} s`)\n }\n }\n\n stop() {\n if (this.isRunning()) {\n this.stoppedAt = now()\n this.stopPolling()\n removeEventListener(\"visibilitychange\", this.visibilityDidChange)\n logger.log(\"ConnectionMonitor stopped\")\n }\n }\n\n isRunning() {\n return this.startedAt && !this.stoppedAt\n }\n\n recordPing() {\n this.pingedAt = now()\n }\n\n recordConnect() {\n this.reconnectAttempts = 0\n this.recordPing()\n delete this.disconnectedAt\n logger.log(\"ConnectionMonitor recorded connect\")\n }\n\n recordDisconnect() {\n this.disconnectedAt = now()\n logger.log(\"ConnectionMonitor recorded disconnect\")\n }\n\n // Private\n\n startPolling() {\n this.stopPolling()\n this.poll()\n }\n\n stopPolling() {\n clearTimeout(this.pollTimeout)\n }\n\n poll() {\n this.pollTimeout = setTimeout(() => {\n this.reconnectIfStale()\n this.poll()\n }\n , this.getPollInterval())\n }\n\n getPollInterval() {\n const { staleThreshold, reconnectionBackoffRate } = this.constructor\n const backoff = Math.pow(1 + reconnectionBackoffRate, Math.min(this.reconnectAttempts, 10))\n const jitterMax = this.reconnectAttempts === 0 ? 1.0 : reconnectionBackoffRate\n const jitter = jitterMax * Math.random()\n return staleThreshold * 1000 * backoff * (1 + jitter)\n }\n\n reconnectIfStale() {\n if (this.connectionIsStale()) {\n logger.log(`ConnectionMonitor detected stale connection. reconnectAttempts = ${this.reconnectAttempts}, time stale = ${secondsSince(this.refreshedAt)} s, stale threshold = ${this.constructor.staleThreshold} s`)\n this.reconnectAttempts++\n if (this.disconnectedRecently()) {\n logger.log(`ConnectionMonitor skipping reopening recent disconnect. time disconnected = ${secondsSince(this.disconnectedAt)} s`)\n } else {\n logger.log(\"ConnectionMonitor reopening\")\n this.connection.reopen()\n }\n }\n }\n\n get refreshedAt() {\n return this.pingedAt ? this.pingedAt : this.startedAt\n }\n\n connectionIsStale() {\n return secondsSince(this.refreshedAt) > this.constructor.staleThreshold\n }\n\n disconnectedRecently() {\n return this.disconnectedAt && (secondsSince(this.disconnectedAt) < this.constructor.staleThreshold)\n }\n\n visibilityDidChange() {\n if (document.visibilityState === \"visible\") {\n setTimeout(() => {\n if (this.connectionIsStale() || !this.connection.isOpen()) {\n logger.log(`ConnectionMonitor reopening stale connection on visibilitychange. visibilityState = ${document.visibilityState}`)\n this.connection.reopen()\n }\n }\n , 200)\n }\n }\n\n}\n\nConnectionMonitor.staleThreshold = 6 // Server::Connections::BEAT_INTERVAL * 2 (missed two pings)\nConnectionMonitor.reconnectionBackoffRate = 0.15\n\nexport default ConnectionMonitor\n", "export default {\n \"message_types\": {\n \"welcome\": \"welcome\",\n \"disconnect\": \"disconnect\",\n \"ping\": \"ping\",\n \"confirmation\": \"confirm_subscription\",\n \"rejection\": \"reject_subscription\"\n },\n \"disconnect_reasons\": {\n \"unauthorized\": \"unauthorized\",\n \"invalid_request\": \"invalid_request\",\n \"server_restart\": \"server_restart\",\n \"remote\": \"remote\"\n },\n \"default_mount_path\": \"/cable\",\n \"protocols\": [\n \"actioncable-v1-json\",\n \"actioncable-unsupported\"\n ]\n}\n", "import adapters from \"./adapters\"\nimport ConnectionMonitor from \"./connection_monitor\"\nimport INTERNAL from \"./internal\"\nimport logger from \"./logger\"\n\n// Encapsulate the cable connection held by the consumer. This is an internal class not intended for direct user manipulation.\n\nconst {message_types, protocols} = INTERNAL\nconst supportedProtocols = protocols.slice(0, protocols.length - 1)\n\nconst indexOf = [].indexOf\n\nclass Connection {\n constructor(consumer) {\n this.open = this.open.bind(this)\n this.consumer = consumer\n this.subscriptions = this.consumer.subscriptions\n this.monitor = new ConnectionMonitor(this)\n this.disconnected = true\n }\n\n send(data) {\n if (this.isOpen()) {\n this.webSocket.send(JSON.stringify(data))\n return true\n } else {\n return false\n }\n }\n\n open() {\n if (this.isActive()) {\n logger.log(`Attempted to open WebSocket, but existing socket is ${this.getState()}`)\n return false\n } else {\n const socketProtocols = [...protocols, ...this.consumer.subprotocols || []]\n logger.log(`Opening WebSocket, current state is ${this.getState()}, subprotocols: ${socketProtocols}`)\n if (this.webSocket) { this.uninstallEventHandlers() }\n this.webSocket = new adapters.WebSocket(this.consumer.url, socketProtocols)\n this.installEventHandlers()\n this.monitor.start()\n return true\n }\n }\n\n close({allowReconnect} = {allowReconnect: true}) {\n if (!allowReconnect) { this.monitor.stop() }\n // Avoid closing websockets in a \"connecting\" state due to Safari 15.1+ bug. See: https://github.com/rails/rails/issues/43835#issuecomment-1002288478\n if (this.isOpen()) {\n return this.webSocket.close()\n }\n }\n\n reopen() {\n logger.log(`Reopening WebSocket, current state is ${this.getState()}`)\n if (this.isActive()) {\n try {\n return this.close()\n } catch (error) {\n logger.log(\"Failed to reopen WebSocket\", error)\n }\n finally {\n logger.log(`Reopening WebSocket in ${this.constructor.reopenDelay}ms`)\n setTimeout(this.open, this.constructor.reopenDelay)\n }\n } else {\n return this.open()\n }\n }\n\n getProtocol() {\n if (this.webSocket) {\n return this.webSocket.protocol\n }\n }\n\n isOpen() {\n return this.isState(\"open\")\n }\n\n isActive() {\n return this.isState(\"open\", \"connecting\")\n }\n\n triedToReconnect() {\n return this.monitor.reconnectAttempts > 0\n }\n\n // Private\n\n isProtocolSupported() {\n return indexOf.call(supportedProtocols, this.getProtocol()) >= 0\n }\n\n isState(...states) {\n return indexOf.call(states, this.getState()) >= 0\n }\n\n getState() {\n if (this.webSocket) {\n for (let state in adapters.WebSocket) {\n if (adapters.WebSocket[state] === this.webSocket.readyState) {\n return state.toLowerCase()\n }\n }\n }\n return null\n }\n\n installEventHandlers() {\n for (let eventName in this.events) {\n const handler = this.events[eventName].bind(this)\n this.webSocket[`on${eventName}`] = handler\n }\n }\n\n uninstallEventHandlers() {\n for (let eventName in this.events) {\n this.webSocket[`on${eventName}`] = function() {}\n }\n }\n\n}\n\nConnection.reopenDelay = 500\n\nConnection.prototype.events = {\n message(event) {\n if (!this.isProtocolSupported()) { return }\n const {identifier, message, reason, reconnect, type} = JSON.parse(event.data)\n switch (type) {\n case message_types.welcome:\n if (this.triedToReconnect()) {\n this.reconnectAttempted = true\n }\n this.monitor.recordConnect()\n return this.subscriptions.reload()\n case message_types.disconnect:\n logger.log(`Disconnecting. Reason: ${reason}`)\n return this.close({allowReconnect: reconnect})\n case message_types.ping:\n return this.monitor.recordPing()\n case message_types.confirmation:\n this.subscriptions.confirmSubscription(identifier)\n if (this.reconnectAttempted) {\n this.reconnectAttempted = false\n return this.subscriptions.notify(identifier, \"connected\", {reconnected: true})\n } else {\n return this.subscriptions.notify(identifier, \"connected\", {reconnected: false})\n }\n case message_types.rejection:\n return this.subscriptions.reject(identifier)\n default:\n return this.subscriptions.notify(identifier, \"received\", message)\n }\n },\n\n open() {\n logger.log(`WebSocket onopen event, using '${this.getProtocol()}' subprotocol`)\n this.disconnected = false\n if (!this.isProtocolSupported()) {\n logger.log(\"Protocol is unsupported. Stopping monitor and disconnecting.\")\n return this.close({allowReconnect: false})\n }\n },\n\n close(event) {\n logger.log(\"WebSocket onclose event\")\n if (this.disconnected) { return }\n this.disconnected = true\n this.monitor.recordDisconnect()\n return this.subscriptions.notifyAll(\"disconnected\", {willAttemptReconnect: this.monitor.isRunning()})\n },\n\n error() {\n logger.log(\"WebSocket onerror event\")\n }\n}\n\nexport default Connection\n", "// A new subscription is created through the ActionCable.Subscriptions instance available on the consumer.\n// It provides a number of callbacks and a method for calling remote procedure calls on the corresponding\n// Channel instance on the server side.\n//\n// An example demonstrates the basic functionality:\n//\n// App.appearance = App.cable.subscriptions.create(\"AppearanceChannel\", {\n// connected() {\n// // Called once the subscription has been successfully completed\n// },\n//\n// disconnected({ willAttemptReconnect: boolean }) {\n// // Called when the client has disconnected with the server.\n// // The object will have an `willAttemptReconnect` property which\n// // says whether the client has the intention of attempting\n// // to reconnect.\n// },\n//\n// appear() {\n// this.perform('appear', {appearing_on: this.appearingOn()})\n// },\n//\n// away() {\n// this.perform('away')\n// },\n//\n// appearingOn() {\n// $('main').data('appearing-on')\n// }\n// })\n//\n// The methods #appear and #away forward their intent to the remote AppearanceChannel instance on the server\n// by calling the `perform` method with the first parameter being the action (which maps to AppearanceChannel#appear/away).\n// The second parameter is a hash that'll get JSON encoded and made available on the server in the data parameter.\n//\n// This is how the server component would look:\n//\n// class AppearanceChannel < ApplicationActionCable::Channel\n// def subscribed\n// current_user.appear\n// end\n//\n// def unsubscribed\n// current_user.disappear\n// end\n//\n// def appear(data)\n// current_user.appear on: data['appearing_on']\n// end\n//\n// def away\n// current_user.away\n// end\n// end\n//\n// The \"AppearanceChannel\" name is automatically mapped between the client-side subscription creation and the server-side Ruby class name.\n// The AppearanceChannel#appear/away public methods are exposed automatically to client-side invocation through the perform method.\n\nconst extend = function(object, properties) {\n if (properties != null) {\n for (let key in properties) {\n const value = properties[key]\n object[key] = value\n }\n }\n return object\n}\n\nexport default class Subscription {\n constructor(consumer, params = {}, mixin) {\n this.consumer = consumer\n this.identifier = JSON.stringify(params)\n extend(this, mixin)\n }\n\n // Perform a channel action with the optional data passed as an attribute\n perform(action, data = {}) {\n data.action = action\n return this.send(data)\n }\n\n send(data) {\n return this.consumer.send({command: \"message\", identifier: this.identifier, data: JSON.stringify(data)})\n }\n\n unsubscribe() {\n return this.consumer.subscriptions.remove(this)\n }\n}\n", "import logger from \"./logger\"\n\n// Responsible for ensuring channel subscribe command is confirmed, retrying until confirmation is received.\n// Internal class, not intended for direct user manipulation.\n\nclass SubscriptionGuarantor {\n constructor(subscriptions) {\n this.subscriptions = subscriptions\n this.pendingSubscriptions = []\n }\n\n guarantee(subscription) {\n if(this.pendingSubscriptions.indexOf(subscription) == -1){ \n logger.log(`SubscriptionGuarantor guaranteeing ${subscription.identifier}`)\n this.pendingSubscriptions.push(subscription) \n }\n else {\n logger.log(`SubscriptionGuarantor already guaranteeing ${subscription.identifier}`)\n }\n this.startGuaranteeing()\n }\n\n forget(subscription) {\n logger.log(`SubscriptionGuarantor forgetting ${subscription.identifier}`)\n this.pendingSubscriptions = (this.pendingSubscriptions.filter((s) => s !== subscription))\n }\n\n startGuaranteeing() {\n this.stopGuaranteeing()\n this.retrySubscribing()\n }\n \n stopGuaranteeing() {\n clearTimeout(this.retryTimeout)\n }\n\n retrySubscribing() {\n this.retryTimeout = setTimeout(() => {\n if (this.subscriptions && typeof(this.subscriptions.subscribe) === \"function\") {\n this.pendingSubscriptions.map((subscription) => {\n logger.log(`SubscriptionGuarantor resubscribing ${subscription.identifier}`)\n this.subscriptions.subscribe(subscription)\n })\n }\n }\n , 500)\n }\n}\n\nexport default SubscriptionGuarantor", "import Subscription from \"./subscription\"\nimport SubscriptionGuarantor from \"./subscription_guarantor\"\nimport logger from \"./logger\"\n\n// Collection class for creating (and internally managing) channel subscriptions.\n// The only method intended to be triggered by the user is ActionCable.Subscriptions#create,\n// and it should be called through the consumer like so:\n//\n// App = {}\n// App.cable = ActionCable.createConsumer(\"ws://example.com/accounts/1\")\n// App.appearance = App.cable.subscriptions.create(\"AppearanceChannel\")\n//\n// For more details on how you'd configure an actual channel subscription, see ActionCable.Subscription.\n\nexport default class Subscriptions {\n constructor(consumer) {\n this.consumer = consumer\n this.guarantor = new SubscriptionGuarantor(this)\n this.subscriptions = []\n }\n\n create(channelName, mixin) {\n const channel = channelName\n const params = typeof channel === \"object\" ? channel : {channel}\n const subscription = new Subscription(this.consumer, params, mixin)\n return this.add(subscription)\n }\n\n // Private\n\n add(subscription) {\n this.subscriptions.push(subscription)\n this.consumer.ensureActiveConnection()\n this.notify(subscription, \"initialized\")\n this.subscribe(subscription)\n return subscription\n }\n\n remove(subscription) {\n this.forget(subscription)\n if (!this.findAll(subscription.identifier).length) {\n this.sendCommand(subscription, \"unsubscribe\")\n }\n return subscription\n }\n\n reject(identifier) {\n return this.findAll(identifier).map((subscription) => {\n this.forget(subscription)\n this.notify(subscription, \"rejected\")\n return subscription\n })\n }\n\n forget(subscription) {\n this.guarantor.forget(subscription)\n this.subscriptions = (this.subscriptions.filter((s) => s !== subscription))\n return subscription\n }\n\n findAll(identifier) {\n return this.subscriptions.filter((s) => s.identifier === identifier)\n }\n\n reload() {\n return this.subscriptions.map((subscription) =>\n this.subscribe(subscription))\n }\n\n notifyAll(callbackName, ...args) {\n return this.subscriptions.map((subscription) =>\n this.notify(subscription, callbackName, ...args))\n }\n\n notify(subscription, callbackName, ...args) {\n let subscriptions\n if (typeof subscription === \"string\") {\n subscriptions = this.findAll(subscription)\n } else {\n subscriptions = [subscription]\n }\n\n return subscriptions.map((subscription) =>\n (typeof subscription[callbackName] === \"function\" ? subscription[callbackName](...args) : undefined))\n }\n\n subscribe(subscription) {\n if (this.sendCommand(subscription, \"subscribe\")) {\n this.guarantor.guarantee(subscription)\n }\n }\n\n confirmSubscription(identifier) {\n logger.log(`Subscription confirmed ${identifier}`)\n this.findAll(identifier).map((subscription) =>\n this.guarantor.forget(subscription))\n }\n\n sendCommand(subscription, command) {\n const {identifier} = subscription\n return this.consumer.send({command, identifier})\n }\n}\n", "import Connection from \"./connection\"\nimport Subscriptions from \"./subscriptions\"\n\n// The ActionCable.Consumer establishes the connection to a server-side Ruby Connection object. Once established,\n// the ActionCable.ConnectionMonitor will ensure that its properly maintained through heartbeats and checking for stale updates.\n// The Consumer instance is also the gateway to establishing subscriptions to desired channels through the #createSubscription\n// method.\n//\n// The following example shows how this can be set up:\n//\n// App = {}\n// App.cable = ActionCable.createConsumer(\"ws://example.com/accounts/1\")\n// App.appearance = App.cable.subscriptions.create(\"AppearanceChannel\")\n//\n// For more details on how you'd configure an actual channel subscription, see ActionCable.Subscription.\n//\n// When a consumer is created, it automatically connects with the server.\n//\n// To disconnect from the server, call\n//\n// App.cable.disconnect()\n//\n// and to restart the connection:\n//\n// App.cable.connect()\n//\n// Any channel subscriptions which existed prior to disconnecting will\n// automatically resubscribe.\n\nexport default class Consumer {\n constructor(url) {\n this._url = url\n this.subscriptions = new Subscriptions(this)\n this.connection = new Connection(this)\n this.subprotocols = []\n }\n\n get url() {\n return createWebSocketURL(this._url)\n }\n\n send(data) {\n return this.connection.send(data)\n }\n\n connect() {\n return this.connection.open()\n }\n\n disconnect() {\n return this.connection.close({allowReconnect: false})\n }\n\n ensureActiveConnection() {\n if (!this.connection.isActive()) {\n return this.connection.open()\n }\n }\n\n addSubProtocol(subprotocol) {\n this.subprotocols = [...this.subprotocols, subprotocol]\n }\n}\n\nexport function createWebSocketURL(url) {\n if (typeof url === \"function\") {\n url = url()\n }\n\n if (url && !/^wss?:/i.test(url)) {\n const a = document.createElement(\"a\")\n a.href = url\n // Fix populating Location properties in IE. Otherwise, protocol will be blank.\n a.href = a.href\n a.protocol = a.protocol.replace(\"http\", \"ws\")\n return a.href\n } else {\n return url\n }\n}\n", "import Connection from \"./connection\"\nimport ConnectionMonitor from \"./connection_monitor\"\nimport Consumer, { createWebSocketURL } from \"./consumer\"\nimport INTERNAL from \"./internal\"\nimport Subscription from \"./subscription\"\nimport Subscriptions from \"./subscriptions\"\nimport SubscriptionGuarantor from \"./subscription_guarantor\"\nimport adapters from \"./adapters\"\nimport logger from \"./logger\"\n\nexport {\n Connection,\n ConnectionMonitor,\n Consumer,\n INTERNAL,\n Subscription,\n Subscriptions,\n SubscriptionGuarantor,\n adapters,\n createWebSocketURL,\n logger,\n}\n\nexport function createConsumer(url = getConfig(\"url\") || INTERNAL.default_mount_path) {\n return new Consumer(url)\n}\n\nexport function getConfig(name) {\n const element = document.head.querySelector(`meta[name='action-cable-${name}']`)\n if (element) {\n return element.getAttribute(\"content\")\n }\n}\n", "import { IconNode, IconNodeChild, SVGProps } from './types';\n\n/**\n * Creates a new HTMLElement from icon node\n * @param {string} tag\n * @param {object} attrs\n * @param {array} children\n * @returns {HTMLElement}\n */\nconst createElement = (tag: string, attrs: SVGProps, children: IconNodeChild[] = []) => {\n const element = document.createElementNS('http://www.w3.org/2000/svg', tag);\n\n Object.keys(attrs).forEach((name) => {\n element.setAttribute(name, String(attrs[name]));\n });\n\n if (children.length) {\n children.forEach((child) => {\n const childElement = createElement(...child);\n\n element.appendChild(childElement);\n });\n }\n\n return element;\n};\n\n/**\n * Creates a new HTMLElement from icon node\n * @param {[tag: string, attrs: object, children: array]} iconNode\n * @returns {HTMLElement}\n */\nexport default ([tag, attrs, children]: IconNode) => createElement(tag, attrs, children);\n", "import createElement from './createElement';\nimport { Icons } from './types';\n\nexport type CustomAttrs = { [attr: string]: any };\n\n/**\n * Get the attributes of an HTML element.\n * @param {HTMLElement} element\n * @returns {Object}\n */\nexport const getAttrs = (element: Element): Record<string, string> =>\n Array.from(element.attributes).reduce<Record<string, string>>((attrs, attr) => {\n attrs[attr.name] = attr.value;\n return attrs;\n }, {});\n\n/**\n * Gets the classNames of an attributes Object.\n * @param {Object} attrs\n * @returns {Array}\n */\nexport const getClassNames = (attrs: Record<string, string> | string): string | string[] => {\n if (typeof attrs === 'string') return attrs;\n if (!attrs || !attrs.class) return '';\n if (attrs.class && typeof attrs.class === 'string') {\n return attrs.class.split(' ');\n }\n if (attrs.class && Array.isArray(attrs.class)) {\n return attrs.class;\n }\n return '';\n};\n\n/**\n * Combines the classNames of array of classNames to a String\n * @param {array} arrayOfClassnames\n * @returns {string}\n */\nexport const combineClassNames = (arrayOfClassnames: (string | Record<string, string>)[]) => {\n const classNameArray = arrayOfClassnames.flatMap(getClassNames);\n\n return classNameArray\n .map((classItem) => classItem.trim())\n .filter(Boolean)\n .filter((value, index, self) => self.indexOf(value) === index)\n .join(' ');\n};\n\nconst toPascalCase = (string: string): string =>\n string.replace(/(\\w)(\\w*)(_|-|\\s*)/g, (g0, g1, g2) => g1.toUpperCase() + g2.toLowerCase());\n\ninterface ReplaceElementOptions {\n nameAttr: string;\n icons: Icons;\n attrs: Record<string, string>;\n}\n\n/**\n * ReplaceElement, replaces the given element with the created icon.\n * @param {HTMLElement} element\n * @param {{ nameAttr: string, icons: object, attrs: object }} options: { nameAttr, icons, attrs }\n * @returns {Function}\n */\nconst replaceElement = (element: Element, { nameAttr, icons, attrs }: ReplaceElementOptions) => {\n const iconName = element.getAttribute(nameAttr);\n\n if (iconName == null) return;\n\n const ComponentName = toPascalCase(iconName);\n\n const iconNode = icons[ComponentName];\n\n if (!iconNode) {\n return console.warn(\n `${element.outerHTML} icon name was not found in the provided icons object.`,\n );\n }\n\n const elementAttrs = getAttrs(element);\n const [tag, iconAttributes, children] = iconNode;\n\n const iconAttrs = {\n ...iconAttributes,\n 'data-lucide': iconName,\n ...attrs,\n ...elementAttrs,\n };\n\n const classNames = combineClassNames(['lucide', `lucide-${iconName}`, elementAttrs, attrs]);\n\n if (classNames) {\n Object.assign(iconAttrs, {\n class: classNames,\n });\n }\n\n const svgElement = createElement([tag, iconAttrs, children]);\n\n return element.parentNode?.replaceChild(svgElement, element);\n};\n\nexport default replaceElement;\n", "import { SVGProps } from './types';\n\nconst defaultAttributes: SVGProps = {\n xmlns: 'http://www.w3.org/2000/svg',\n width: 24,\n height: 24,\n viewBox: '0 0 24 24',\n fill: 'none',\n stroke: 'currentColor',\n 'stroke-width': 2,\n 'stroke-linecap': 'round',\n 'stroke-linejoin': 'round',\n};\n\nexport default defaultAttributes;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name a-arrow-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/a-arrow-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AArrowDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3.5 13h6' }],\n ['path', { d: 'm2 16 4.5-9 4.5 9' }],\n ['path', { d: 'M18 7v9' }],\n ['path', { d: 'm14 12 4 4 4-4' }],\n ],\n];\n\nexport default AArrowDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name a-arrow-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/a-arrow-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AArrowUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3.5 13h6' }],\n ['path', { d: 'm2 16 4.5-9 4.5 9' }],\n ['path', { d: 'M18 16V7' }],\n ['path', { d: 'm14 11 4-4 4 4' }],\n ],\n];\n\nexport default AArrowUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name a-large-small\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/a-large-small\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ALargeSmall: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 14h-5' }],\n ['path', { d: 'M16 16v-3.5a2.5 2.5 0 0 1 5 0V16' }],\n ['path', { d: 'M4.5 13h6' }],\n ['path', { d: 'm3 16 4.5-9 4.5 9' }],\n ],\n];\n\nexport default ALargeSmall;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name accessibility\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/accessibility\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Accessibility: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '16', cy: '4', r: '1' }],\n ['path', { d: 'm18 19 1-7-6 1' }],\n ['path', { d: 'm5 8 3-3 5.5 3-2.36 3.5' }],\n ['path', { d: 'M4.24 14.5a5 5 0 0 0 6.88 6' }],\n ['path', { d: 'M13.76 17.5a5 5 0 0 0-6.88-6' }],\n ],\n];\n\nexport default Accessibility;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name activity\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/activity\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Activity: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M22 12h-2.48a2 2 0 0 0-1.93 1.46l-2.35 8.36a.25.25 0 0 1-.48 0L9.24 2.18a.25.25 0 0 0-.48 0l-2.35 8.36A2 2 0 0 1 4.49 12H2',\n },\n ],\n ],\n];\n\nexport default Activity;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name air-vent\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/air-vent\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AirVent: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 12H4a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2v5a2 2 0 0 1-2 2h-2' }],\n ['path', { d: 'M6 8h12' }],\n ['path', { d: 'M18.3 17.7a2.5 2.5 0 0 1-3.16 3.83 2.53 2.53 0 0 1-1.14-2V12' }],\n ['path', { d: 'M6.6 15.6A2 2 0 1 0 10 17v-5' }],\n ],\n];\n\nexport default AirVent;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name airplay\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/airplay\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Airplay: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5 17H4a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2v10a2 2 0 0 1-2 2h-1' }],\n ['path', { d: 'm12 15 5 6H7Z' }],\n ],\n];\n\nexport default Airplay;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name alarm-clock-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/alarm-clock-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlarmClockCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '13', r: '8' }],\n ['path', { d: 'M5 3 2 6' }],\n ['path', { d: 'm22 6-3-3' }],\n ['path', { d: 'M6.38 18.7 4 21' }],\n ['path', { d: 'M17.64 18.67 20 21' }],\n ['path', { d: 'm9 13 2 2 4-4' }],\n ],\n];\n\nexport default AlarmClockCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name alarm-clock-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/alarm-clock-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlarmClockMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '13', r: '8' }],\n ['path', { d: 'M5 3 2 6' }],\n ['path', { d: 'm22 6-3-3' }],\n ['path', { d: 'M6.38 18.7 4 21' }],\n ['path', { d: 'M17.64 18.67 20 21' }],\n ['path', { d: 'M9 13h6' }],\n ],\n];\n\nexport default AlarmClockMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name alarm-clock-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/alarm-clock-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlarmClockOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6.87 6.87a8 8 0 1 0 11.26 11.26' }],\n ['path', { d: 'M19.9 14.25a8 8 0 0 0-9.15-9.15' }],\n ['path', { d: 'm22 6-3-3' }],\n ['path', { d: 'M6.26 18.67 4 21' }],\n ['path', { d: 'm2 2 20 20' }],\n ['path', { d: 'M4 4 2 6' }],\n ],\n];\n\nexport default AlarmClockOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name alarm-clock-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/alarm-clock-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlarmClockPlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '13', r: '8' }],\n ['path', { d: 'M5 3 2 6' }],\n ['path', { d: 'm22 6-3-3' }],\n ['path', { d: 'M6.38 18.7 4 21' }],\n ['path', { d: 'M17.64 18.67 20 21' }],\n ['path', { d: 'M12 10v6' }],\n ['path', { d: 'M9 13h6' }],\n ],\n];\n\nexport default AlarmClockPlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name alarm-clock\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/alarm-clock\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlarmClock: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '13', r: '8' }],\n ['path', { d: 'M12 9v4l2 2' }],\n ['path', { d: 'M5 3 2 6' }],\n ['path', { d: 'm22 6-3-3' }],\n ['path', { d: 'M6.38 18.7 4 21' }],\n ['path', { d: 'M17.64 18.67 20 21' }],\n ],\n];\n\nexport default AlarmClock;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name alarm-smoke\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/alarm-smoke\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlarmSmoke: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11 21c0-2.5 2-2.5 2-5' }],\n ['path', { d: 'M16 21c0-2.5 2-2.5 2-5' }],\n ['path', { d: 'm19 8-.8 3a1.25 1.25 0 0 1-1.2 1H7a1.25 1.25 0 0 1-1.2-1L5 8' }],\n ['path', { d: 'M21 3a1 1 0 0 1 1 1v2a2 2 0 0 1-2 2H4a2 2 0 0 1-2-2V4a1 1 0 0 1 1-1z' }],\n ['path', { d: 'M6 21c0-2.5 2-2.5 2-5' }],\n ],\n];\n\nexport default AlarmSmoke;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name album\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/album\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Album: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2', ry: '2' }],\n ['polyline', { points: '11 3 11 11 14 8 17 11 17 3' }],\n ],\n];\n\nexport default Album;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-center-horizontal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-center-horizontal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignCenterHorizontal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 12h20' }],\n ['path', { d: 'M10 16v4a2 2 0 0 1-2 2H6a2 2 0 0 1-2-2v-4' }],\n ['path', { d: 'M10 8V4a2 2 0 0 0-2-2H6a2 2 0 0 0-2 2v4' }],\n ['path', { d: 'M20 16v1a2 2 0 0 1-2 2h-2a2 2 0 0 1-2-2v-1' }],\n ['path', { d: 'M14 8V7c0-1.1.9-2 2-2h2a2 2 0 0 1 2 2v1' }],\n ],\n];\n\nexport default AlignCenterHorizontal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-center-vertical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-center-vertical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignCenterVertical: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 2v20' }],\n ['path', { d: 'M8 10H4a2 2 0 0 1-2-2V6c0-1.1.9-2 2-2h4' }],\n ['path', { d: 'M16 10h4a2 2 0 0 0 2-2V6a2 2 0 0 0-2-2h-4' }],\n ['path', { d: 'M8 20H7a2 2 0 0 1-2-2v-2c0-1.1.9-2 2-2h1' }],\n ['path', { d: 'M16 14h1a2 2 0 0 1 2 2v2a2 2 0 0 1-2 2h-1' }],\n ],\n];\n\nexport default AlignCenterVertical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-center\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-center\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignCenter: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '21', x2: '3', y1: '6', y2: '6' }],\n ['line', { x1: '17', x2: '7', y1: '12', y2: '12' }],\n ['line', { x1: '19', x2: '5', y1: '18', y2: '18' }],\n ],\n];\n\nexport default AlignCenter;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-end-horizontal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-end-horizontal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignEndHorizontal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '6', height: '16', x: '4', y: '2', rx: '2' }],\n ['rect', { width: '6', height: '9', x: '14', y: '9', rx: '2' }],\n ['path', { d: 'M22 22H2' }],\n ],\n];\n\nexport default AlignEndHorizontal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-end-vertical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-end-vertical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignEndVertical: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '16', height: '6', x: '2', y: '4', rx: '2' }],\n ['rect', { width: '9', height: '6', x: '9', y: '14', rx: '2' }],\n ['path', { d: 'M22 22V2' }],\n ],\n];\n\nexport default AlignEndVertical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-horizontal-distribute-center\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-horizontal-distribute-center\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignHorizontalDistributeCenter: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '6', height: '14', x: '4', y: '5', rx: '2' }],\n ['rect', { width: '6', height: '10', x: '14', y: '7', rx: '2' }],\n ['path', { d: 'M17 22v-5' }],\n ['path', { d: 'M17 7V2' }],\n ['path', { d: 'M7 22v-3' }],\n ['path', { d: 'M7 5V2' }],\n ],\n];\n\nexport default AlignHorizontalDistributeCenter;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-horizontal-distribute-end\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-horizontal-distribute-end\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignHorizontalDistributeEnd: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '6', height: '14', x: '4', y: '5', rx: '2' }],\n ['rect', { width: '6', height: '10', x: '14', y: '7', rx: '2' }],\n ['path', { d: 'M10 2v20' }],\n ['path', { d: 'M20 2v20' }],\n ],\n];\n\nexport default AlignHorizontalDistributeEnd;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-horizontal-distribute-start\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-horizontal-distribute-start\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignHorizontalDistributeStart: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '6', height: '14', x: '4', y: '5', rx: '2' }],\n ['rect', { width: '6', height: '10', x: '14', y: '7', rx: '2' }],\n ['path', { d: 'M4 2v20' }],\n ['path', { d: 'M14 2v20' }],\n ],\n];\n\nexport default AlignHorizontalDistributeStart;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-horizontal-justify-center\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-horizontal-justify-center\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignHorizontalJustifyCenter: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '6', height: '14', x: '2', y: '5', rx: '2' }],\n ['rect', { width: '6', height: '10', x: '16', y: '7', rx: '2' }],\n ['path', { d: 'M12 2v20' }],\n ],\n];\n\nexport default AlignHorizontalJustifyCenter;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-horizontal-justify-end\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-horizontal-justify-end\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignHorizontalJustifyEnd: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '6', height: '14', x: '2', y: '5', rx: '2' }],\n ['rect', { width: '6', height: '10', x: '12', y: '7', rx: '2' }],\n ['path', { d: 'M22 2v20' }],\n ],\n];\n\nexport default AlignHorizontalJustifyEnd;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-horizontal-justify-start\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-horizontal-justify-start\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignHorizontalJustifyStart: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '6', height: '14', x: '6', y: '5', rx: '2' }],\n ['rect', { width: '6', height: '10', x: '16', y: '7', rx: '2' }],\n ['path', { d: 'M2 2v20' }],\n ],\n];\n\nexport default AlignHorizontalJustifyStart;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-horizontal-space-around\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-horizontal-space-around\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignHorizontalSpaceAround: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '6', height: '10', x: '9', y: '7', rx: '2' }],\n ['path', { d: 'M4 22V2' }],\n ['path', { d: 'M20 22V2' }],\n ],\n];\n\nexport default AlignHorizontalSpaceAround;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-horizontal-space-between\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-horizontal-space-between\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignHorizontalSpaceBetween: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '6', height: '14', x: '3', y: '5', rx: '2' }],\n ['rect', { width: '6', height: '10', x: '15', y: '7', rx: '2' }],\n ['path', { d: 'M3 2v20' }],\n ['path', { d: 'M21 2v20' }],\n ],\n];\n\nexport default AlignHorizontalSpaceBetween;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-justify\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-justify\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignJustify: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '3', x2: '21', y1: '6', y2: '6' }],\n ['line', { x1: '3', x2: '21', y1: '12', y2: '12' }],\n ['line', { x1: '3', x2: '21', y1: '18', y2: '18' }],\n ],\n];\n\nexport default AlignJustify;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '21', x2: '3', y1: '6', y2: '6' }],\n ['line', { x1: '15', x2: '3', y1: '12', y2: '12' }],\n ['line', { x1: '17', x2: '3', y1: '18', y2: '18' }],\n ],\n];\n\nexport default AlignLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '21', x2: '3', y1: '6', y2: '6' }],\n ['line', { x1: '21', x2: '9', y1: '12', y2: '12' }],\n ['line', { x1: '21', x2: '7', y1: '18', y2: '18' }],\n ],\n];\n\nexport default AlignRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-start-horizontal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-start-horizontal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignStartHorizontal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '6', height: '16', x: '4', y: '6', rx: '2' }],\n ['rect', { width: '6', height: '9', x: '14', y: '6', rx: '2' }],\n ['path', { d: 'M22 2H2' }],\n ],\n];\n\nexport default AlignStartHorizontal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-start-vertical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-start-vertical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignStartVertical: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '9', height: '6', x: '6', y: '14', rx: '2' }],\n ['rect', { width: '16', height: '6', x: '6', y: '4', rx: '2' }],\n ['path', { d: 'M2 2v20' }],\n ],\n];\n\nexport default AlignStartVertical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-vertical-distribute-center\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-vertical-distribute-center\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignVerticalDistributeCenter: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M22 17h-3' }],\n ['path', { d: 'M22 7h-5' }],\n ['path', { d: 'M5 17H2' }],\n ['path', { d: 'M7 7H2' }],\n ['rect', { x: '5', y: '14', width: '14', height: '6', rx: '2' }],\n ['rect', { x: '7', y: '4', width: '10', height: '6', rx: '2' }],\n ],\n];\n\nexport default AlignVerticalDistributeCenter;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-vertical-distribute-end\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-vertical-distribute-end\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignVerticalDistributeEnd: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '14', height: '6', x: '5', y: '14', rx: '2' }],\n ['rect', { width: '10', height: '6', x: '7', y: '4', rx: '2' }],\n ['path', { d: 'M2 20h20' }],\n ['path', { d: 'M2 10h20' }],\n ],\n];\n\nexport default AlignVerticalDistributeEnd;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-vertical-distribute-start\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-vertical-distribute-start\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignVerticalDistributeStart: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '14', height: '6', x: '5', y: '14', rx: '2' }],\n ['rect', { width: '10', height: '6', x: '7', y: '4', rx: '2' }],\n ['path', { d: 'M2 14h20' }],\n ['path', { d: 'M2 4h20' }],\n ],\n];\n\nexport default AlignVerticalDistributeStart;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-vertical-justify-center\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-vertical-justify-center\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignVerticalJustifyCenter: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '14', height: '6', x: '5', y: '16', rx: '2' }],\n ['rect', { width: '10', height: '6', x: '7', y: '2', rx: '2' }],\n ['path', { d: 'M2 12h20' }],\n ],\n];\n\nexport default AlignVerticalJustifyCenter;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-vertical-justify-end\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-vertical-justify-end\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignVerticalJustifyEnd: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '14', height: '6', x: '5', y: '12', rx: '2' }],\n ['rect', { width: '10', height: '6', x: '7', y: '2', rx: '2' }],\n ['path', { d: 'M2 22h20' }],\n ],\n];\n\nexport default AlignVerticalJustifyEnd;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-vertical-justify-start\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-vertical-justify-start\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignVerticalJustifyStart: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '14', height: '6', x: '5', y: '16', rx: '2' }],\n ['rect', { width: '10', height: '6', x: '7', y: '6', rx: '2' }],\n ['path', { d: 'M2 2h20' }],\n ],\n];\n\nexport default AlignVerticalJustifyStart;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-vertical-space-around\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-vertical-space-around\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignVerticalSpaceAround: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '10', height: '6', x: '7', y: '9', rx: '2' }],\n ['path', { d: 'M22 20H2' }],\n ['path', { d: 'M22 4H2' }],\n ],\n];\n\nexport default AlignVerticalSpaceAround;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name align-vertical-space-between\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/align-vertical-space-between\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AlignVerticalSpaceBetween: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '14', height: '6', x: '5', y: '15', rx: '2' }],\n ['rect', { width: '10', height: '6', x: '7', y: '3', rx: '2' }],\n ['path', { d: 'M2 21h20' }],\n ['path', { d: 'M2 3h20' }],\n ],\n];\n\nexport default AlignVerticalSpaceBetween;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ambulance\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ambulance\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Ambulance: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 10H6' }],\n ['path', { d: 'M14 18V6a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2v11a1 1 0 0 0 1 1h2' }],\n [\n 'path',\n {\n d: 'M19 18h2a1 1 0 0 0 1-1v-3.28a1 1 0 0 0-.684-.948l-1.923-.641a1 1 0 0 1-.578-.502l-1.539-3.076A1 1 0 0 0 16.382 8H14',\n },\n ],\n ['path', { d: 'M8 8v4' }],\n ['path', { d: 'M9 18h6' }],\n ['circle', { cx: '17', cy: '18', r: '2' }],\n ['circle', { cx: '7', cy: '18', r: '2' }],\n ],\n];\n\nexport default Ambulance;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ampersand\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ampersand\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Ampersand: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M17.5 12c0 4.4-3.6 8-8 8A4.5 4.5 0 0 1 5 15.5c0-6 8-4 8-8.5a3 3 0 1 0-6 0c0 3 2.5 8.5 12 13',\n },\n ],\n ['path', { d: 'M16 12h3' }],\n ],\n];\n\nexport default Ampersand;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ampersands\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ampersands\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Ampersands: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n { d: 'M10 17c-5-3-7-7-7-9a2 2 0 0 1 4 0c0 2.5-5 2.5-5 6 0 1.7 1.3 3 3 3 2.8 0 5-2.2 5-5' },\n ],\n [\n 'path',\n { d: 'M22 17c-5-3-7-7-7-9a2 2 0 0 1 4 0c0 2.5-5 2.5-5 6 0 1.7 1.3 3 3 3 2.8 0 5-2.2 5-5' },\n ],\n ],\n];\n\nexport default Ampersands;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name anchor\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/anchor\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Anchor: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 22V8' }],\n ['path', { d: 'M5 12H2a10 10 0 0 0 20 0h-3' }],\n ['circle', { cx: '12', cy: '5', r: '3' }],\n ],\n];\n\nexport default Anchor;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name angry\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/angry\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Angry: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M16 16s-1.5-2-4-2-4 2-4 2' }],\n ['path', { d: 'M7.5 8 10 9' }],\n ['path', { d: 'm14 9 2.5-1' }],\n ['path', { d: 'M9 10h.01' }],\n ['path', { d: 'M15 10h.01' }],\n ],\n];\n\nexport default Angry;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name annoyed\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/annoyed\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Annoyed: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M8 15h8' }],\n ['path', { d: 'M8 9h2' }],\n ['path', { d: 'M14 9h2' }],\n ],\n];\n\nexport default Annoyed;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name antenna\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/antenna\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Antenna: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 12 7 2' }],\n ['path', { d: 'm7 12 5-10' }],\n ['path', { d: 'm12 12 5-10' }],\n ['path', { d: 'm17 12 5-10' }],\n ['path', { d: 'M4.5 7h15' }],\n ['path', { d: 'M12 16v6' }],\n ],\n];\n\nexport default Antenna;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name anvil\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/anvil\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Anvil: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7 10H6a4 4 0 0 1-4-4 1 1 0 0 1 1-1h4' }],\n ['path', { d: 'M7 5a1 1 0 0 1 1-1h13a1 1 0 0 1 1 1 7 7 0 0 1-7 7H8a1 1 0 0 1-1-1z' }],\n ['path', { d: 'M9 12v5' }],\n ['path', { d: 'M15 12v5' }],\n ['path', { d: 'M5 20a3 3 0 0 1 3-3h8a3 3 0 0 1 3 3 1 1 0 0 1-1 1H6a1 1 0 0 1-1-1' }],\n ],\n];\n\nexport default Anvil;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name aperture\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/aperture\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Aperture: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'm14.31 8 5.74 9.94' }],\n ['path', { d: 'M9.69 8h11.48' }],\n ['path', { d: 'm7.38 12 5.74-9.94' }],\n ['path', { d: 'M9.69 16 3.95 6.06' }],\n ['path', { d: 'M14.31 16H2.83' }],\n ['path', { d: 'm16.62 12-5.74 9.94' }],\n ],\n];\n\nexport default Aperture;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name app-window-mac\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/app-window-mac\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AppWindowMac: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '16', x: '2', y: '4', rx: '2' }],\n ['path', { d: 'M6 8h.01' }],\n ['path', { d: 'M10 8h.01' }],\n ['path', { d: 'M14 8h.01' }],\n ],\n];\n\nexport default AppWindowMac;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name app-window\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/app-window\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AppWindow: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { x: '2', y: '4', width: '20', height: '16', rx: '2' }],\n ['path', { d: 'M10 4v4' }],\n ['path', { d: 'M2 8h20' }],\n ['path', { d: 'M6 4v4' }],\n ],\n];\n\nexport default AppWindow;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name apple\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/apple\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Apple: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M12 20.94c1.5 0 2.75 1.06 4 1.06 3 0 6-8 6-12.22A4.91 4.91 0 0 0 17 5c-2.22 0-4 1.44-5 2-1-.56-2.78-2-5-2a4.9 4.9 0 0 0-5 4.78C2 14 5 22 8 22c1.25 0 2.5-1.06 4-1.06Z',\n },\n ],\n ['path', { d: 'M10 2c1 .5 2 2 2 5' }],\n ],\n];\n\nexport default Apple;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name archive-restore\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/archive-restore\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArchiveRestore: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '5', x: '2', y: '3', rx: '1' }],\n ['path', { d: 'M4 8v11a2 2 0 0 0 2 2h2' }],\n ['path', { d: 'M20 8v11a2 2 0 0 1-2 2h-2' }],\n ['path', { d: 'm9 15 3-3 3 3' }],\n ['path', { d: 'M12 12v9' }],\n ],\n];\n\nexport default ArchiveRestore;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name archive-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/archive-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArchiveX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '5', x: '2', y: '3', rx: '1' }],\n ['path', { d: 'M4 8v11a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8' }],\n ['path', { d: 'm9.5 17 5-5' }],\n ['path', { d: 'm9.5 12 5 5' }],\n ],\n];\n\nexport default ArchiveX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name archive\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/archive\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Archive: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '5', x: '2', y: '3', rx: '1' }],\n ['path', { d: 'M4 8v11a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8' }],\n ['path', { d: 'M10 12h4' }],\n ],\n];\n\nexport default Archive;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name armchair\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/armchair\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Armchair: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M19 9V6a2 2 0 0 0-2-2H7a2 2 0 0 0-2 2v3' }],\n [\n 'path',\n {\n d: 'M3 16a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2v-5a2 2 0 0 0-4 0v1.5a.5.5 0 0 1-.5.5h-9a.5.5 0 0 1-.5-.5V11a2 2 0 0 0-4 0z',\n },\n ],\n ['path', { d: 'M5 18v2' }],\n ['path', { d: 'M19 18v2' }],\n ],\n];\n\nexport default Armchair;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-big-down-dash\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-big-down-dash\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowBigDownDash: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 5H9' }],\n ['path', { d: 'M15 9v3h4l-7 7-7-7h4V9z' }],\n ],\n];\n\nexport default ArrowBigDownDash;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-big-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-big-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowBigDown: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M15 6v6h4l-7 7-7-7h4V6h6z' }]],\n];\n\nexport default ArrowBigDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-big-left-dash\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-big-left-dash\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowBigLeftDash: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M19 15V9' }],\n ['path', { d: 'M15 15h-3v4l-7-7 7-7v4h3v6z' }],\n ],\n];\n\nexport default ArrowBigLeftDash;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-big-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-big-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowBigLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M18 15h-6v4l-7-7 7-7v4h6v6z' }]],\n];\n\nexport default ArrowBigLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-big-right-dash\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-big-right-dash\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowBigRightDash: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5 9v6' }],\n ['path', { d: 'M9 9h3V5l7 7-7 7v-4H9V9z' }],\n ],\n];\n\nexport default ArrowBigRightDash;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-big-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-big-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowBigRight: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M6 9h6V5l7 7-7 7v-4H6V9z' }]],\n];\n\nexport default ArrowBigRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-big-up-dash\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-big-up-dash\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowBigUpDash: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M9 19h6' }],\n ['path', { d: 'M9 15v-3H5l7-7 7 7h-4v3H9z' }],\n ],\n];\n\nexport default ArrowBigUpDash;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-big-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-big-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowBigUp: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M9 18v-6H5l7-7 7 7h-4v6H9z' }]],\n];\n\nexport default ArrowBigUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-down-0-1\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-down-0-1\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowDown01: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 16 4 4 4-4' }],\n ['path', { d: 'M7 20V4' }],\n ['rect', { x: '15', y: '4', width: '4', height: '6', ry: '2' }],\n ['path', { d: 'M17 20v-6h-2' }],\n ['path', { d: 'M15 20h4' }],\n ],\n];\n\nexport default ArrowDown01;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-down-1-0\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-down-1-0\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowDown10: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 16 4 4 4-4' }],\n ['path', { d: 'M7 20V4' }],\n ['path', { d: 'M17 10V4h-2' }],\n ['path', { d: 'M15 10h4' }],\n ['rect', { x: '15', y: '14', width: '4', height: '6', ry: '2' }],\n ],\n];\n\nexport default ArrowDown10;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-down-a-z\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-down-a-z\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowDownAZ: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 16 4 4 4-4' }],\n ['path', { d: 'M7 20V4' }],\n ['path', { d: 'M20 8h-5' }],\n ['path', { d: 'M15 10V6.5a2.5 2.5 0 0 1 5 0V10' }],\n ['path', { d: 'M15 14h5l-5 6h5' }],\n ],\n];\n\nexport default ArrowDownAZ;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-down-from-line\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-down-from-line\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowDownFromLine: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M19 3H5' }],\n ['path', { d: 'M12 21V7' }],\n ['path', { d: 'm6 15 6 6 6-6' }],\n ],\n];\n\nexport default ArrowDownFromLine;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-down-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-down-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowDownLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M17 7 7 17' }],\n ['path', { d: 'M17 17H7V7' }],\n ],\n];\n\nexport default ArrowDownLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-down-narrow-wide\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-down-narrow-wide\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowDownNarrowWide: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 16 4 4 4-4' }],\n ['path', { d: 'M7 20V4' }],\n ['path', { d: 'M11 4h4' }],\n ['path', { d: 'M11 8h7' }],\n ['path', { d: 'M11 12h10' }],\n ],\n];\n\nexport default ArrowDownNarrowWide;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-down-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-down-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowDownRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm7 7 10 10' }],\n ['path', { d: 'M17 7v10H7' }],\n ],\n];\n\nexport default ArrowDownRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-down-to-dot\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-down-to-dot\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowDownToDot: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 2v14' }],\n ['path', { d: 'm19 9-7 7-7-7' }],\n ['circle', { cx: '12', cy: '21', r: '1' }],\n ],\n];\n\nexport default ArrowDownToDot;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-down-to-line\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-down-to-line\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowDownToLine: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 17V3' }],\n ['path', { d: 'm6 11 6 6 6-6' }],\n ['path', { d: 'M19 21H5' }],\n ],\n];\n\nexport default ArrowDownToLine;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-down-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-down-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowDownUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 16 4 4 4-4' }],\n ['path', { d: 'M7 20V4' }],\n ['path', { d: 'm21 8-4-4-4 4' }],\n ['path', { d: 'M17 4v16' }],\n ],\n];\n\nexport default ArrowDownUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-down-wide-narrow\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-down-wide-narrow\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowDownWideNarrow: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 16 4 4 4-4' }],\n ['path', { d: 'M7 20V4' }],\n ['path', { d: 'M11 4h10' }],\n ['path', { d: 'M11 8h7' }],\n ['path', { d: 'M11 12h4' }],\n ],\n];\n\nexport default ArrowDownWideNarrow;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-down-z-a\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-down-z-a\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowDownZA: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 16 4 4 4-4' }],\n ['path', { d: 'M7 4v16' }],\n ['path', { d: 'M15 4h5l-5 6h5' }],\n ['path', { d: 'M15 20v-3.5a2.5 2.5 0 0 1 5 0V20' }],\n ['path', { d: 'M20 18h-5' }],\n ],\n];\n\nexport default ArrowDownZA;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 5v14' }],\n ['path', { d: 'm19 12-7 7-7-7' }],\n ],\n];\n\nexport default ArrowDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-left-from-line\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-left-from-line\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowLeftFromLine: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm9 6-6 6 6 6' }],\n ['path', { d: 'M3 12h14' }],\n ['path', { d: 'M21 19V5' }],\n ],\n];\n\nexport default ArrowLeftFromLine;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-left-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-left-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowLeftRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 3 4 7l4 4' }],\n ['path', { d: 'M4 7h16' }],\n ['path', { d: 'm16 21 4-4-4-4' }],\n ['path', { d: 'M20 17H4' }],\n ],\n];\n\nexport default ArrowLeftRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-left-to-line\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-left-to-line\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowLeftToLine: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 19V5' }],\n ['path', { d: 'm13 6-6 6 6 6' }],\n ['path', { d: 'M7 12h14' }],\n ],\n];\n\nexport default ArrowLeftToLine;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm12 19-7-7 7-7' }],\n ['path', { d: 'M19 12H5' }],\n ],\n];\n\nexport default ArrowLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-right-from-line\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-right-from-line\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowRightFromLine: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 5v14' }],\n ['path', { d: 'M21 12H7' }],\n ['path', { d: 'm15 18 6-6-6-6' }],\n ],\n];\n\nexport default ArrowRightFromLine;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-right-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-right-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowRightLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm16 3 4 4-4 4' }],\n ['path', { d: 'M20 7H4' }],\n ['path', { d: 'm8 21-4-4 4-4' }],\n ['path', { d: 'M4 17h16' }],\n ],\n];\n\nexport default ArrowRightLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-right-to-line\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-right-to-line\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowRightToLine: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M17 12H3' }],\n ['path', { d: 'm11 18 6-6-6-6' }],\n ['path', { d: 'M21 5v14' }],\n ],\n];\n\nexport default ArrowRightToLine;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5 12h14' }],\n ['path', { d: 'm12 5 7 7-7 7' }],\n ],\n];\n\nexport default ArrowRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-up-0-1\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-up-0-1\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowUp01: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 8 4-4 4 4' }],\n ['path', { d: 'M7 4v16' }],\n ['rect', { x: '15', y: '4', width: '4', height: '6', ry: '2' }],\n ['path', { d: 'M17 20v-6h-2' }],\n ['path', { d: 'M15 20h4' }],\n ],\n];\n\nexport default ArrowUp01;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-up-1-0\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-up-1-0\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowUp10: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 8 4-4 4 4' }],\n ['path', { d: 'M7 4v16' }],\n ['path', { d: 'M17 10V4h-2' }],\n ['path', { d: 'M15 10h4' }],\n ['rect', { x: '15', y: '14', width: '4', height: '6', ry: '2' }],\n ],\n];\n\nexport default ArrowUp10;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-up-a-z\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-up-a-z\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowUpAZ: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 8 4-4 4 4' }],\n ['path', { d: 'M7 4v16' }],\n ['path', { d: 'M20 8h-5' }],\n ['path', { d: 'M15 10V6.5a2.5 2.5 0 0 1 5 0V10' }],\n ['path', { d: 'M15 14h5l-5 6h5' }],\n ],\n];\n\nexport default ArrowUpAZ;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-up-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-up-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowUpDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm21 16-4 4-4-4' }],\n ['path', { d: 'M17 20V4' }],\n ['path', { d: 'm3 8 4-4 4 4' }],\n ['path', { d: 'M7 4v16' }],\n ],\n];\n\nexport default ArrowUpDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-up-from-dot\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-up-from-dot\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowUpFromDot: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm5 9 7-7 7 7' }],\n ['path', { d: 'M12 16V2' }],\n ['circle', { cx: '12', cy: '21', r: '1' }],\n ],\n];\n\nexport default ArrowUpFromDot;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-up-from-line\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-up-from-line\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowUpFromLine: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm18 9-6-6-6 6' }],\n ['path', { d: 'M12 3v14' }],\n ['path', { d: 'M5 21h14' }],\n ],\n];\n\nexport default ArrowUpFromLine;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-up-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-up-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowUpLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7 17V7h10' }],\n ['path', { d: 'M17 17 7 7' }],\n ],\n];\n\nexport default ArrowUpLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-up-narrow-wide\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-up-narrow-wide\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowUpNarrowWide: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 8 4-4 4 4' }],\n ['path', { d: 'M7 4v16' }],\n ['path', { d: 'M11 12h4' }],\n ['path', { d: 'M11 16h7' }],\n ['path', { d: 'M11 20h10' }],\n ],\n];\n\nexport default ArrowUpNarrowWide;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-up-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-up-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowUpRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7 7h10v10' }],\n ['path', { d: 'M7 17 17 7' }],\n ],\n];\n\nexport default ArrowUpRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-up-to-line\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-up-to-line\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowUpToLine: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5 3h14' }],\n ['path', { d: 'm18 13-6-6-6 6' }],\n ['path', { d: 'M12 7v14' }],\n ],\n];\n\nexport default ArrowUpToLine;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-up-wide-narrow\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-up-wide-narrow\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowUpWideNarrow: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 8 4-4 4 4' }],\n ['path', { d: 'M7 4v16' }],\n ['path', { d: 'M11 12h10' }],\n ['path', { d: 'M11 16h7' }],\n ['path', { d: 'M11 20h4' }],\n ],\n];\n\nexport default ArrowUpWideNarrow;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-up-z-a\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-up-z-a\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowUpZA: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 8 4-4 4 4' }],\n ['path', { d: 'M7 4v16' }],\n ['path', { d: 'M15 4h5l-5 6h5' }],\n ['path', { d: 'M15 20v-3.5a2.5 2.5 0 0 1 5 0V20' }],\n ['path', { d: 'M20 18h-5' }],\n ],\n];\n\nexport default ArrowUpZA;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrow-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrow-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm5 12 7-7 7 7' }],\n ['path', { d: 'M12 19V5' }],\n ],\n];\n\nexport default ArrowUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name arrows-up-from-line\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/arrows-up-from-line\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ArrowsUpFromLine: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm4 6 3-3 3 3' }],\n ['path', { d: 'M7 17V3' }],\n ['path', { d: 'm14 6 3-3 3 3' }],\n ['path', { d: 'M17 17V3' }],\n ['path', { d: 'M4 21h16' }],\n ],\n];\n\nexport default ArrowsUpFromLine;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name asterisk\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/asterisk\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Asterisk: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 6v12' }],\n ['path', { d: 'M17.196 9 6.804 15' }],\n ['path', { d: 'm6.804 9 10.392 6' }],\n ],\n];\n\nexport default Asterisk;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name at-sign\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/at-sign\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AtSign: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '4' }],\n ['path', { d: 'M16 8v5a3 3 0 0 0 6 0v-1a10 10 0 1 0-4 8' }],\n ],\n];\n\nexport default AtSign;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name atom\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/atom\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Atom: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '1' }],\n [\n 'path',\n {\n d: 'M20.2 20.2c2.04-2.03.02-7.36-4.5-11.9-4.54-4.52-9.87-6.54-11.9-4.5-2.04 2.03-.02 7.36 4.5 11.9 4.54 4.52 9.87 6.54 11.9 4.5Z',\n },\n ],\n [\n 'path',\n {\n d: 'M15.7 15.7c4.52-4.54 6.54-9.87 4.5-11.9-2.03-2.04-7.36-.02-11.9 4.5-4.52 4.54-6.54 9.87-4.5 11.9 2.03 2.04 7.36.02 11.9-4.5Z',\n },\n ],\n ],\n];\n\nexport default Atom;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name audio-lines\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/audio-lines\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AudioLines: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 10v3' }],\n ['path', { d: 'M6 6v11' }],\n ['path', { d: 'M10 3v18' }],\n ['path', { d: 'M14 8v7' }],\n ['path', { d: 'M18 5v13' }],\n ['path', { d: 'M22 10v3' }],\n ],\n];\n\nexport default AudioLines;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name audio-waveform\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/audio-waveform\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst AudioWaveform: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2 13a2 2 0 0 0 2-2V7a2 2 0 0 1 4 0v13a2 2 0 0 0 4 0V4a2 2 0 0 1 4 0v13a2 2 0 0 0 4 0v-4a2 2 0 0 1 2-2',\n },\n ],\n ],\n];\n\nexport default AudioWaveform;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name award\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/award\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Award: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm15.477 12.89 1.515 8.526a.5.5 0 0 1-.81.47l-3.58-2.687a1 1 0 0 0-1.197 0l-3.586 2.686a.5.5 0 0 1-.81-.469l1.514-8.526',\n },\n ],\n ['circle', { cx: '12', cy: '8', r: '6' }],\n ],\n];\n\nexport default Award;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name axe\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/axe\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Axe: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm14 12-8.5 8.5a2.12 2.12 0 1 1-3-3L11 9' }],\n ['path', { d: 'M15 13 9 7l4-4 6 6h3a8 8 0 0 1-7 7z' }],\n ],\n];\n\nexport default Axe;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name axis-3d\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/axis-3d\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Axis3d: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 4v16h16' }],\n ['path', { d: 'm4 20 7-7' }],\n ],\n];\n\nexport default Axis3d;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name baby\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/baby\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Baby: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M9 12h.01' }],\n ['path', { d: 'M15 12h.01' }],\n ['path', { d: 'M10 16c.5.3 1.2.5 2 .5s1.5-.2 2-.5' }],\n [\n 'path',\n {\n d: 'M19 6.3a9 9 0 0 1 1.8 3.9 2 2 0 0 1 0 3.6 9 9 0 0 1-17.6 0 2 2 0 0 1 0-3.6A9 9 0 0 1 12 3c2 0 3.5 1.1 3.5 2.5s-.9 2.5-2 2.5c-.8 0-1.5-.4-1.5-1',\n },\n ],\n ],\n];\n\nexport default Baby;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name backpack\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/backpack\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Backpack: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 10a4 4 0 0 1 4-4h8a4 4 0 0 1 4 4v10a2 2 0 0 1-2 2H6a2 2 0 0 1-2-2Z' }],\n ['path', { d: 'M9 6V4a2 2 0 0 1 2-2h2a2 2 0 0 1 2 2v2' }],\n ['path', { d: 'M8 21v-5a2 2 0 0 1 2-2h4a2 2 0 0 1 2 2v5' }],\n ['path', { d: 'M8 10h8' }],\n ['path', { d: 'M8 18h8' }],\n ],\n];\n\nexport default Backpack;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name badge-alert\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/badge-alert\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BadgeAlert: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3.85 8.62a4 4 0 0 1 4.78-4.77 4 4 0 0 1 6.74 0 4 4 0 0 1 4.78 4.78 4 4 0 0 1 0 6.74 4 4 0 0 1-4.77 4.78 4 4 0 0 1-6.75 0 4 4 0 0 1-4.78-4.77 4 4 0 0 1 0-6.76Z',\n },\n ],\n ['line', { x1: '12', x2: '12', y1: '8', y2: '12' }],\n ['line', { x1: '12', x2: '12.01', y1: '16', y2: '16' }],\n ],\n];\n\nexport default BadgeAlert;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name badge-cent\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/badge-cent\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BadgeCent: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3.85 8.62a4 4 0 0 1 4.78-4.77 4 4 0 0 1 6.74 0 4 4 0 0 1 4.78 4.78 4 4 0 0 1 0 6.74 4 4 0 0 1-4.77 4.78 4 4 0 0 1-6.75 0 4 4 0 0 1-4.78-4.77 4 4 0 0 1 0-6.76Z',\n },\n ],\n ['path', { d: 'M12 7v10' }],\n ['path', { d: 'M15.4 10a4 4 0 1 0 0 4' }],\n ],\n];\n\nexport default BadgeCent;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name badge-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/badge-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BadgeCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3.85 8.62a4 4 0 0 1 4.78-4.77 4 4 0 0 1 6.74 0 4 4 0 0 1 4.78 4.78 4 4 0 0 1 0 6.74 4 4 0 0 1-4.77 4.78 4 4 0 0 1-6.75 0 4 4 0 0 1-4.78-4.77 4 4 0 0 1 0-6.76Z',\n },\n ],\n ['path', { d: 'm9 12 2 2 4-4' }],\n ],\n];\n\nexport default BadgeCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name badge-dollar-sign\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/badge-dollar-sign\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BadgeDollarSign: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3.85 8.62a4 4 0 0 1 4.78-4.77 4 4 0 0 1 6.74 0 4 4 0 0 1 4.78 4.78 4 4 0 0 1 0 6.74 4 4 0 0 1-4.77 4.78 4 4 0 0 1-6.75 0 4 4 0 0 1-4.78-4.77 4 4 0 0 1 0-6.76Z',\n },\n ],\n ['path', { d: 'M16 8h-6a2 2 0 1 0 0 4h4a2 2 0 1 1 0 4H8' }],\n ['path', { d: 'M12 18V6' }],\n ],\n];\n\nexport default BadgeDollarSign;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name badge-euro\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/badge-euro\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BadgeEuro: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3.85 8.62a4 4 0 0 1 4.78-4.77 4 4 0 0 1 6.74 0 4 4 0 0 1 4.78 4.78 4 4 0 0 1 0 6.74 4 4 0 0 1-4.77 4.78 4 4 0 0 1-6.75 0 4 4 0 0 1-4.78-4.77 4 4 0 0 1 0-6.76Z',\n },\n ],\n ['path', { d: 'M7 12h5' }],\n ['path', { d: 'M15 9.4a4 4 0 1 0 0 5.2' }],\n ],\n];\n\nexport default BadgeEuro;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name badge-help\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/badge-help\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BadgeHelp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3.85 8.62a4 4 0 0 1 4.78-4.77 4 4 0 0 1 6.74 0 4 4 0 0 1 4.78 4.78 4 4 0 0 1 0 6.74 4 4 0 0 1-4.77 4.78 4 4 0 0 1-6.75 0 4 4 0 0 1-4.78-4.77 4 4 0 0 1 0-6.76Z',\n },\n ],\n ['path', { d: 'M9.09 9a3 3 0 0 1 5.83 1c0 2-3 3-3 3' }],\n ['line', { x1: '12', x2: '12.01', y1: '17', y2: '17' }],\n ],\n];\n\nexport default BadgeHelp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name badge-indian-rupee\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/badge-indian-rupee\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BadgeIndianRupee: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3.85 8.62a4 4 0 0 1 4.78-4.77 4 4 0 0 1 6.74 0 4 4 0 0 1 4.78 4.78 4 4 0 0 1 0 6.74 4 4 0 0 1-4.77 4.78 4 4 0 0 1-6.75 0 4 4 0 0 1-4.78-4.77 4 4 0 0 1 0-6.76Z',\n },\n ],\n ['path', { d: 'M8 8h8' }],\n ['path', { d: 'M8 12h8' }],\n ['path', { d: 'm13 17-5-1h1a4 4 0 0 0 0-8' }],\n ],\n];\n\nexport default BadgeIndianRupee;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name badge-info\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/badge-info\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BadgeInfo: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3.85 8.62a4 4 0 0 1 4.78-4.77 4 4 0 0 1 6.74 0 4 4 0 0 1 4.78 4.78 4 4 0 0 1 0 6.74 4 4 0 0 1-4.77 4.78 4 4 0 0 1-6.75 0 4 4 0 0 1-4.78-4.77 4 4 0 0 1 0-6.76Z',\n },\n ],\n ['line', { x1: '12', x2: '12', y1: '16', y2: '12' }],\n ['line', { x1: '12', x2: '12.01', y1: '8', y2: '8' }],\n ],\n];\n\nexport default BadgeInfo;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name badge-japanese-yen\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/badge-japanese-yen\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BadgeJapaneseYen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3.85 8.62a4 4 0 0 1 4.78-4.77 4 4 0 0 1 6.74 0 4 4 0 0 1 4.78 4.78 4 4 0 0 1 0 6.74 4 4 0 0 1-4.77 4.78 4 4 0 0 1-6.75 0 4 4 0 0 1-4.78-4.77 4 4 0 0 1 0-6.76Z',\n },\n ],\n ['path', { d: 'm9 8 3 3v7' }],\n ['path', { d: 'm12 11 3-3' }],\n ['path', { d: 'M9 12h6' }],\n ['path', { d: 'M9 16h6' }],\n ],\n];\n\nexport default BadgeJapaneseYen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name badge-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/badge-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BadgeMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3.85 8.62a4 4 0 0 1 4.78-4.77 4 4 0 0 1 6.74 0 4 4 0 0 1 4.78 4.78 4 4 0 0 1 0 6.74 4 4 0 0 1-4.77 4.78 4 4 0 0 1-6.75 0 4 4 0 0 1-4.78-4.77 4 4 0 0 1 0-6.76Z',\n },\n ],\n ['line', { x1: '8', x2: '16', y1: '12', y2: '12' }],\n ],\n];\n\nexport default BadgeMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name badge-percent\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/badge-percent\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BadgePercent: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3.85 8.62a4 4 0 0 1 4.78-4.77 4 4 0 0 1 6.74 0 4 4 0 0 1 4.78 4.78 4 4 0 0 1 0 6.74 4 4 0 0 1-4.77 4.78 4 4 0 0 1-6.75 0 4 4 0 0 1-4.78-4.77 4 4 0 0 1 0-6.76Z',\n },\n ],\n ['path', { d: 'm15 9-6 6' }],\n ['path', { d: 'M9 9h.01' }],\n ['path', { d: 'M15 15h.01' }],\n ],\n];\n\nexport default BadgePercent;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name badge-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/badge-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BadgePlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3.85 8.62a4 4 0 0 1 4.78-4.77 4 4 0 0 1 6.74 0 4 4 0 0 1 4.78 4.78 4 4 0 0 1 0 6.74 4 4 0 0 1-4.77 4.78 4 4 0 0 1-6.75 0 4 4 0 0 1-4.78-4.77 4 4 0 0 1 0-6.76Z',\n },\n ],\n ['line', { x1: '12', x2: '12', y1: '8', y2: '16' }],\n ['line', { x1: '8', x2: '16', y1: '12', y2: '12' }],\n ],\n];\n\nexport default BadgePlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name badge-pound-sterling\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/badge-pound-sterling\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BadgePoundSterling: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3.85 8.62a4 4 0 0 1 4.78-4.77 4 4 0 0 1 6.74 0 4 4 0 0 1 4.78 4.78 4 4 0 0 1 0 6.74 4 4 0 0 1-4.77 4.78 4 4 0 0 1-6.75 0 4 4 0 0 1-4.78-4.77 4 4 0 0 1 0-6.76Z',\n },\n ],\n ['path', { d: 'M8 12h4' }],\n ['path', { d: 'M10 16V9.5a2.5 2.5 0 0 1 5 0' }],\n ['path', { d: 'M8 16h7' }],\n ],\n];\n\nexport default BadgePoundSterling;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name badge-russian-ruble\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/badge-russian-ruble\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BadgeRussianRuble: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3.85 8.62a4 4 0 0 1 4.78-4.77 4 4 0 0 1 6.74 0 4 4 0 0 1 4.78 4.78 4 4 0 0 1 0 6.74 4 4 0 0 1-4.77 4.78 4 4 0 0 1-6.75 0 4 4 0 0 1-4.78-4.77 4 4 0 0 1 0-6.76Z',\n },\n ],\n ['path', { d: 'M9 16h5' }],\n ['path', { d: 'M9 12h5a2 2 0 1 0 0-4h-3v9' }],\n ],\n];\n\nexport default BadgeRussianRuble;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name badge-swiss-franc\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/badge-swiss-franc\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BadgeSwissFranc: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3.85 8.62a4 4 0 0 1 4.78-4.77 4 4 0 0 1 6.74 0 4 4 0 0 1 4.78 4.78 4 4 0 0 1 0 6.74 4 4 0 0 1-4.77 4.78 4 4 0 0 1-6.75 0 4 4 0 0 1-4.78-4.77 4 4 0 0 1 0-6.76Z',\n },\n ],\n ['path', { d: 'M11 17V8h4' }],\n ['path', { d: 'M11 12h3' }],\n ['path', { d: 'M9 16h4' }],\n ],\n];\n\nexport default BadgeSwissFranc;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name badge-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/badge-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BadgeX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3.85 8.62a4 4 0 0 1 4.78-4.77 4 4 0 0 1 6.74 0 4 4 0 0 1 4.78 4.78 4 4 0 0 1 0 6.74 4 4 0 0 1-4.77 4.78 4 4 0 0 1-6.75 0 4 4 0 0 1-4.78-4.77 4 4 0 0 1 0-6.76Z',\n },\n ],\n ['line', { x1: '15', x2: '9', y1: '9', y2: '15' }],\n ['line', { x1: '9', x2: '15', y1: '9', y2: '15' }],\n ],\n];\n\nexport default BadgeX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name badge\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/badge\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Badge: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3.85 8.62a4 4 0 0 1 4.78-4.77 4 4 0 0 1 6.74 0 4 4 0 0 1 4.78 4.78 4 4 0 0 1 0 6.74 4 4 0 0 1-4.77 4.78 4 4 0 0 1-6.75 0 4 4 0 0 1-4.78-4.77 4 4 0 0 1 0-6.76Z',\n },\n ],\n ],\n];\n\nexport default Badge;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name baggage-claim\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/baggage-claim\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BaggageClaim: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M22 18H6a2 2 0 0 1-2-2V7a2 2 0 0 0-2-2' }],\n ['path', { d: 'M17 14V4a2 2 0 0 0-2-2h-1a2 2 0 0 0-2 2v10' }],\n ['rect', { width: '13', height: '8', x: '8', y: '6', rx: '1' }],\n ['circle', { cx: '18', cy: '20', r: '2' }],\n ['circle', { cx: '9', cy: '20', r: '2' }],\n ],\n];\n\nexport default BaggageClaim;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ban\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ban\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Ban: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'm4.9 4.9 14.2 14.2' }],\n ],\n];\n\nexport default Ban;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name banana\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/banana\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Banana: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 13c3.5-2 8-2 10 2a5.5 5.5 0 0 1 8 5' }],\n [\n 'path',\n {\n d: 'M5.15 17.89c5.52-1.52 8.65-6.89 7-12C11.55 4 11.5 2 13 2c3.22 0 5 5.5 5 8 0 6.5-4.2 12-10.49 12C5.11 22 2 22 2 20c0-1.5 1.14-1.55 3.15-2.11Z',\n },\n ],\n ],\n];\n\nexport default Banana;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name banknote\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/banknote\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Banknote: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '12', x: '2', y: '6', rx: '2' }],\n ['circle', { cx: '12', cy: '12', r: '2' }],\n ['path', { d: 'M6 12h.01M18 12h.01' }],\n ],\n];\n\nexport default Banknote;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name barcode\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/barcode\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Barcode: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 5v14' }],\n ['path', { d: 'M8 5v14' }],\n ['path', { d: 'M12 5v14' }],\n ['path', { d: 'M17 5v14' }],\n ['path', { d: 'M21 5v14' }],\n ],\n];\n\nexport default Barcode;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name baseline\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/baseline\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Baseline: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 20h16' }],\n ['path', { d: 'm6 16 6-12 6 12' }],\n ['path', { d: 'M8 12h8' }],\n ],\n];\n\nexport default Baseline;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bath\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bath\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Bath: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M9 6 6.5 3.5a1.5 1.5 0 0 0-1-.5C4.683 3 4 3.683 4 4.5V17a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2v-5',\n },\n ],\n ['line', { x1: '10', x2: '8', y1: '5', y2: '7' }],\n ['line', { x1: '2', x2: '22', y1: '12', y2: '12' }],\n ['line', { x1: '7', x2: '7', y1: '19', y2: '21' }],\n ['line', { x1: '17', x2: '17', y1: '19', y2: '21' }],\n ],\n];\n\nexport default Bath;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name battery-charging\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/battery-charging\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BatteryCharging: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 7h1a2 2 0 0 1 2 2v6a2 2 0 0 1-2 2h-2' }],\n ['path', { d: 'M6 7H4a2 2 0 0 0-2 2v6a2 2 0 0 0 2 2h1' }],\n ['path', { d: 'm11 7-3 5h4l-3 5' }],\n ['line', { x1: '22', x2: '22', y1: '11', y2: '13' }],\n ],\n];\n\nexport default BatteryCharging;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name battery-full\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/battery-full\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BatteryFull: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '16', height: '10', x: '2', y: '7', rx: '2', ry: '2' }],\n ['line', { x1: '22', x2: '22', y1: '11', y2: '13' }],\n ['line', { x1: '6', x2: '6', y1: '11', y2: '13' }],\n ['line', { x1: '10', x2: '10', y1: '11', y2: '13' }],\n ['line', { x1: '14', x2: '14', y1: '11', y2: '13' }],\n ],\n];\n\nexport default BatteryFull;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name battery-low\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/battery-low\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BatteryLow: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '16', height: '10', x: '2', y: '7', rx: '2', ry: '2' }],\n ['line', { x1: '22', x2: '22', y1: '11', y2: '13' }],\n ['line', { x1: '6', x2: '6', y1: '11', y2: '13' }],\n ],\n];\n\nexport default BatteryLow;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name battery-medium\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/battery-medium\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BatteryMedium: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '16', height: '10', x: '2', y: '7', rx: '2', ry: '2' }],\n ['line', { x1: '22', x2: '22', y1: '11', y2: '13' }],\n ['line', { x1: '6', x2: '6', y1: '11', y2: '13' }],\n ['line', { x1: '10', x2: '10', y1: '11', y2: '13' }],\n ],\n];\n\nexport default BatteryMedium;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name battery-warning\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/battery-warning\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BatteryWarning: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M14 7h2a2 2 0 0 1 2 2v6c0 1-1 2-2 2h-2' }],\n ['path', { d: 'M6 7H4a2 2 0 0 0-2 2v6c0 1 1 2 2 2h2' }],\n ['line', { x1: '22', x2: '22', y1: '11', y2: '13' }],\n ['line', { x1: '10', x2: '10', y1: '7', y2: '13' }],\n ['line', { x1: '10', x2: '10', y1: '17', y2: '17.01' }],\n ],\n];\n\nexport default BatteryWarning;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name battery\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/battery\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Battery: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '16', height: '10', x: '2', y: '7', rx: '2', ry: '2' }],\n ['line', { x1: '22', x2: '22', y1: '11', y2: '13' }],\n ],\n];\n\nexport default Battery;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name beaker\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/beaker\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Beaker: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4.5 3h15' }],\n ['path', { d: 'M6 3v16a2 2 0 0 0 2 2h8a2 2 0 0 0 2-2V3' }],\n ['path', { d: 'M6 14h12' }],\n ],\n];\n\nexport default Beaker;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bean-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bean-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BeanOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M9 9c-.64.64-1.521.954-2.402 1.165A6 6 0 0 0 8 22a13.96 13.96 0 0 0 9.9-4.1' }],\n ['path', { d: 'M10.75 5.093A6 6 0 0 1 22 8c0 2.411-.61 4.68-1.683 6.66' }],\n ['path', { d: 'M5.341 10.62a4 4 0 0 0 6.487 1.208M10.62 5.341a4.015 4.015 0 0 1 2.039 2.04' }],\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ],\n];\n\nexport default BeanOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bean\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bean\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Bean: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M10.165 6.598C9.954 7.478 9.64 8.36 9 9c-.64.64-1.521.954-2.402 1.165A6 6 0 0 0 8 22c7.732 0 14-6.268 14-14a6 6 0 0 0-11.835-1.402Z',\n },\n ],\n ['path', { d: 'M5.341 10.62a4 4 0 1 0 5.279-5.28' }],\n ],\n];\n\nexport default Bean;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bed-double\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bed-double\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BedDouble: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 20v-8a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2v8' }],\n ['path', { d: 'M4 10V6a2 2 0 0 1 2-2h12a2 2 0 0 1 2 2v4' }],\n ['path', { d: 'M12 4v6' }],\n ['path', { d: 'M2 18h20' }],\n ],\n];\n\nexport default BedDouble;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bed-single\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bed-single\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BedSingle: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 20v-8a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2v8' }],\n ['path', { d: 'M5 10V6a2 2 0 0 1 2-2h10a2 2 0 0 1 2 2v4' }],\n ['path', { d: 'M3 18h18' }],\n ],\n];\n\nexport default BedSingle;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bed\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bed\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Bed: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 4v16' }],\n ['path', { d: 'M2 8h18a2 2 0 0 1 2 2v10' }],\n ['path', { d: 'M2 17h20' }],\n ['path', { d: 'M6 8v9' }],\n ],\n];\n\nexport default Bed;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name beef\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/beef\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Beef: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12.5', cy: '8.5', r: '2.5' }],\n [\n 'path',\n {\n d: 'M12.5 2a6.5 6.5 0 0 0-6.22 4.6c-1.1 3.13-.78 3.9-3.18 6.08A3 3 0 0 0 5 18c4 0 8.4-1.8 11.4-4.3A6.5 6.5 0 0 0 12.5 2Z',\n },\n ],\n [\n 'path',\n {\n d: 'm18.5 6 2.19 4.5a6.48 6.48 0 0 1 .31 2 6.49 6.49 0 0 1-2.6 5.2C15.4 20.2 11 22 7 22a3 3 0 0 1-2.68-1.66L2.4 16.5',\n },\n ],\n ],\n];\n\nexport default Beef;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name beer-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/beer-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BeerOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13 13v5' }],\n ['path', { d: 'M17 11.47V8' }],\n ['path', { d: 'M17 11h1a3 3 0 0 1 2.745 4.211' }],\n ['path', { d: 'm2 2 20 20' }],\n ['path', { d: 'M5 8v12a2 2 0 0 0 2 2h8a2 2 0 0 0 2-2v-3' }],\n ['path', { d: 'M7.536 7.535C6.766 7.649 6.154 8 5.5 8a2.5 2.5 0 0 1-1.768-4.268' }],\n [\n 'path',\n {\n d: 'M8.727 3.204C9.306 2.767 9.885 2 11 2c1.56 0 2 1.5 3 1.5s1.72-.5 2.5-.5a1 1 0 1 1 0 5c-.78 0-1.5-.5-2.5-.5a3.149 3.149 0 0 0-.842.12',\n },\n ],\n ['path', { d: 'M9 14.6V18' }],\n ],\n];\n\nexport default BeerOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name beer\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/beer\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Beer: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M17 11h1a3 3 0 0 1 0 6h-1' }],\n ['path', { d: 'M9 12v6' }],\n ['path', { d: 'M13 12v6' }],\n [\n 'path',\n {\n d: 'M14 7.5c-1 0-1.44.5-3 .5s-2-.5-3-.5-1.72.5-2.5.5a2.5 2.5 0 0 1 0-5c.78 0 1.57.5 2.5.5S9.44 2 11 2s2 1.5 3 1.5 1.72-.5 2.5-.5a2.5 2.5 0 0 1 0 5c-.78 0-1.5-.5-2.5-.5Z',\n },\n ],\n ['path', { d: 'M5 8v12a2 2 0 0 0 2 2h8a2 2 0 0 0 2-2V8' }],\n ],\n];\n\nexport default Beer;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bell-dot\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bell-dot\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BellDot: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M19.4 14.9C20.2 16.4 21 17 21 17H3s3-2 3-9c0-3.3 2.7-6 6-6 .7 0 1.3.1 1.9.3' }],\n ['path', { d: 'M10.3 21a1.94 1.94 0 0 0 3.4 0' }],\n ['circle', { cx: '18', cy: '8', r: '3' }],\n ],\n];\n\nexport default BellDot;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bell-electric\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bell-electric\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BellElectric: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18.8 4A6.3 8.7 0 0 1 20 9' }],\n ['path', { d: 'M9 9h.01' }],\n ['circle', { cx: '9', cy: '9', r: '7' }],\n ['rect', { width: '10', height: '6', x: '4', y: '16', rx: '2' }],\n ['path', { d: 'M14 19c3 0 4.6-1.6 4.6-1.6' }],\n ['circle', { cx: '20', cy: '16', r: '2' }],\n ],\n];\n\nexport default BellElectric;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bell-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bell-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BellMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18.4 12c.8 3.8 2.6 5 2.6 5H3s3-2 3-9c0-3.3 2.7-6 6-6 1.8 0 3.4.8 4.5 2' }],\n ['path', { d: 'M10.3 21a1.94 1.94 0 0 0 3.4 0' }],\n ['path', { d: 'M15 8h6' }],\n ],\n];\n\nexport default BellMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bell-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bell-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BellOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8.7 3A6 6 0 0 1 18 8a21.3 21.3 0 0 0 .6 5' }],\n ['path', { d: 'M17 17H3s3-2 3-9a4.67 4.67 0 0 1 .3-1.7' }],\n ['path', { d: 'M10.3 21a1.94 1.94 0 0 0 3.4 0' }],\n ['path', { d: 'm2 2 20 20' }],\n ],\n];\n\nexport default BellOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bell-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bell-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BellPlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M19.3 14.8C20.1 16.4 21 17 21 17H3s3-2 3-9c0-3.3 2.7-6 6-6 1 0 1.9.2 2.8.7' }],\n ['path', { d: 'M10.3 21a1.94 1.94 0 0 0 3.4 0' }],\n ['path', { d: 'M15 8h6' }],\n ['path', { d: 'M18 5v6' }],\n ],\n];\n\nexport default BellPlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bell-ring\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bell-ring\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BellRing: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 8a6 6 0 0 1 12 0c0 7 3 9 3 9H3s3-2 3-9' }],\n ['path', { d: 'M10.3 21a1.94 1.94 0 0 0 3.4 0' }],\n ['path', { d: 'M4 2C2.8 3.7 2 5.7 2 8' }],\n ['path', { d: 'M22 8c0-2.3-.8-4.3-2-6' }],\n ],\n];\n\nexport default BellRing;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bell\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bell\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Bell: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 8a6 6 0 0 1 12 0c0 7 3 9 3 9H3s3-2 3-9' }],\n ['path', { d: 'M10.3 21a1.94 1.94 0 0 0 3.4 0' }],\n ],\n];\n\nexport default Bell;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name between-horizontal-end\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/between-horizontal-end\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BetweenHorizontalEnd: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '13', height: '7', x: '3', y: '3', rx: '1' }],\n ['path', { d: 'm22 15-3-3 3-3' }],\n ['rect', { width: '13', height: '7', x: '3', y: '14', rx: '1' }],\n ],\n];\n\nexport default BetweenHorizontalEnd;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name between-horizontal-start\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/between-horizontal-start\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BetweenHorizontalStart: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '13', height: '7', x: '8', y: '3', rx: '1' }],\n ['path', { d: 'm2 9 3 3-3 3' }],\n ['rect', { width: '13', height: '7', x: '8', y: '14', rx: '1' }],\n ],\n];\n\nexport default BetweenHorizontalStart;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name between-vertical-end\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/between-vertical-end\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BetweenVerticalEnd: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '7', height: '13', x: '3', y: '3', rx: '1' }],\n ['path', { d: 'm9 22 3-3 3 3' }],\n ['rect', { width: '7', height: '13', x: '14', y: '3', rx: '1' }],\n ],\n];\n\nexport default BetweenVerticalEnd;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name between-vertical-start\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/between-vertical-start\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BetweenVerticalStart: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '7', height: '13', x: '3', y: '8', rx: '1' }],\n ['path', { d: 'm15 2-3 3-3-3' }],\n ['rect', { width: '7', height: '13', x: '14', y: '8', rx: '1' }],\n ],\n];\n\nexport default BetweenVerticalStart;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name biceps-flexed\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/biceps-flexed\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BicepsFlexed: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M12.409 13.017A5 5 0 0 1 22 15c0 3.866-4 7-9 7-4.077 0-8.153-.82-10.371-2.462-.426-.316-.631-.832-.62-1.362C2.118 12.723 2.627 2 10 2a3 3 0 0 1 3 3 2 2 0 0 1-2 2c-1.105 0-1.64-.444-2-1',\n },\n ],\n ['path', { d: 'M15 14a5 5 0 0 0-7.584 2' }],\n ['path', { d: 'M9.964 6.825C8.019 7.977 9.5 13 8 15' }],\n ],\n];\n\nexport default BicepsFlexed;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bike\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bike\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Bike: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '18.5', cy: '17.5', r: '3.5' }],\n ['circle', { cx: '5.5', cy: '17.5', r: '3.5' }],\n ['circle', { cx: '15', cy: '5', r: '1' }],\n ['path', { d: 'M12 17.5V14l-3-3 4-3 2 3h2' }],\n ],\n];\n\nexport default Bike;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name binary\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/binary\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Binary: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { x: '14', y: '14', width: '4', height: '6', rx: '2' }],\n ['rect', { x: '6', y: '4', width: '4', height: '6', rx: '2' }],\n ['path', { d: 'M6 20h4' }],\n ['path', { d: 'M14 10h4' }],\n ['path', { d: 'M6 14h2v6' }],\n ['path', { d: 'M14 4h2v6' }],\n ],\n];\n\nexport default Binary;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name biohazard\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/biohazard\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Biohazard: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '11.9', r: '2' }],\n ['path', { d: 'M6.7 3.4c-.9 2.5 0 5.2 2.2 6.7C6.5 9 3.7 9.6 2 11.6' }],\n ['path', { d: 'm8.9 10.1 1.4.8' }],\n ['path', { d: 'M17.3 3.4c.9 2.5 0 5.2-2.2 6.7 2.4-1.2 5.2-.6 6.9 1.5' }],\n ['path', { d: 'm15.1 10.1-1.4.8' }],\n ['path', { d: 'M16.7 20.8c-2.6-.4-4.6-2.6-4.7-5.3-.2 2.6-2.1 4.8-4.7 5.2' }],\n ['path', { d: 'M12 13.9v1.6' }],\n ['path', { d: 'M13.5 5.4c-1-.2-2-.2-3 0' }],\n ['path', { d: 'M17 16.4c.7-.7 1.2-1.6 1.5-2.5' }],\n ['path', { d: 'M5.5 13.9c.3.9.8 1.8 1.5 2.5' }],\n ],\n];\n\nexport default Biohazard;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bird\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bird\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Bird: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 7h.01' }],\n ['path', { d: 'M3.4 18H12a8 8 0 0 0 8-8V7a4 4 0 0 0-7.28-2.3L2 20' }],\n ['path', { d: 'm20 7 2 .5-2 .5' }],\n ['path', { d: 'M10 18v3' }],\n ['path', { d: 'M14 17.75V21' }],\n ['path', { d: 'M7 18a6 6 0 0 0 3.84-10.61' }],\n ],\n];\n\nexport default Bird;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bitcoin\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bitcoin\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Bitcoin: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M11.767 19.089c4.924.868 6.14-6.025 1.216-6.894m-1.216 6.894L5.86 18.047m5.908 1.042-.347 1.97m1.563-8.864c4.924.869 6.14-6.025 1.215-6.893m-1.215 6.893-3.94-.694m5.155-6.2L8.29 4.26m5.908 1.042.348-1.97M7.48 20.364l3.126-17.727',\n },\n ],\n ],\n];\n\nexport default Bitcoin;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name blend\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/blend\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Blend: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '9', cy: '9', r: '7' }],\n ['circle', { cx: '15', cy: '15', r: '7' }],\n ],\n];\n\nexport default Blend;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name blinds\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/blinds\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Blinds: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 3h18' }],\n ['path', { d: 'M20 7H8' }],\n ['path', { d: 'M20 11H8' }],\n ['path', { d: 'M10 19h10' }],\n ['path', { d: 'M8 15h12' }],\n ['path', { d: 'M4 3v14' }],\n ['circle', { cx: '4', cy: '19', r: '2' }],\n ],\n];\n\nexport default Blinds;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name blocks\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/blocks\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Blocks: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '7', height: '7', x: '14', y: '3', rx: '1' }],\n [\n 'path',\n {\n d: 'M10 21V8a1 1 0 0 0-1-1H4a1 1 0 0 0-1 1v12a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1v-5a1 1 0 0 0-1-1H3',\n },\n ],\n ],\n];\n\nexport default Blocks;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bluetooth-connected\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bluetooth-connected\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BluetoothConnected: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm7 7 10 10-5 5V2l5 5L7 17' }],\n ['line', { x1: '18', x2: '21', y1: '12', y2: '12' }],\n ['line', { x1: '3', x2: '6', y1: '12', y2: '12' }],\n ],\n];\n\nexport default BluetoothConnected;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bluetooth-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bluetooth-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BluetoothOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm17 17-5 5V12l-5 5' }],\n ['path', { d: 'm2 2 20 20' }],\n ['path', { d: 'M14.5 9.5 17 7l-5-5v4.5' }],\n ],\n];\n\nexport default BluetoothOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bluetooth-searching\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bluetooth-searching\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BluetoothSearching: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm7 7 10 10-5 5V2l5 5L7 17' }],\n ['path', { d: 'M20.83 14.83a4 4 0 0 0 0-5.66' }],\n ['path', { d: 'M18 12h.01' }],\n ],\n];\n\nexport default BluetoothSearching;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bluetooth\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bluetooth\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Bluetooth: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'm7 7 10 10-5 5V2l5 5L7 17' }]],\n];\n\nexport default Bluetooth;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bold\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bold\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Bold: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M6 12h9a4 4 0 0 1 0 8H7a1 1 0 0 1-1-1V5a1 1 0 0 1 1-1h7a4 4 0 0 1 0 8' }]],\n];\n\nexport default Bold;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bolt\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bolt\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Bolt: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M21 16V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16z',\n },\n ],\n ['circle', { cx: '12', cy: '12', r: '4' }],\n ],\n];\n\nexport default Bolt;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bomb\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bomb\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Bomb: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '11', cy: '13', r: '9' }],\n [\n 'path',\n { d: 'M14.35 4.65 16.3 2.7a2.41 2.41 0 0 1 3.4 0l1.6 1.6a2.4 2.4 0 0 1 0 3.4l-1.95 1.95' },\n ],\n ['path', { d: 'm22 2-1.5 1.5' }],\n ],\n];\n\nexport default Bomb;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bone\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bone\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Bone: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M17 10c.7-.7 1.69 0 2.5 0a2.5 2.5 0 1 0 0-5 .5.5 0 0 1-.5-.5 2.5 2.5 0 1 0-5 0c0 .81.7 1.8 0 2.5l-7 7c-.7.7-1.69 0-2.5 0a2.5 2.5 0 0 0 0 5c.28 0 .5.22.5.5a2.5 2.5 0 1 0 5 0c0-.81-.7-1.8 0-2.5Z',\n },\n ],\n ],\n];\n\nexport default Bone;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-a\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-a\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookA: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M4 19.5v-15A2.5 2.5 0 0 1 6.5 2H19a1 1 0 0 1 1 1v18a1 1 0 0 1-1 1H6.5a1 1 0 0 1 0-5H20',\n },\n ],\n ['path', { d: 'm8 13 4-7 4 7' }],\n ['path', { d: 'M9.1 11h5.7' }],\n ],\n];\n\nexport default BookA;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-audio\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-audio\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookAudio: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 6v7' }],\n ['path', { d: 'M16 8v3' }],\n [\n 'path',\n {\n d: 'M4 19.5v-15A2.5 2.5 0 0 1 6.5 2H19a1 1 0 0 1 1 1v18a1 1 0 0 1-1 1H6.5a1 1 0 0 1 0-5H20',\n },\n ],\n ['path', { d: 'M8 8v3' }],\n ],\n];\n\nexport default BookAudio;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M4 19.5v-15A2.5 2.5 0 0 1 6.5 2H19a1 1 0 0 1 1 1v18a1 1 0 0 1-1 1H6.5a1 1 0 0 1 0-5H20',\n },\n ],\n ['path', { d: 'm9 9.5 2 2 4-4' }],\n ],\n];\n\nexport default BookCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-copy\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-copy\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookCopy: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 16V4a2 2 0 0 1 2-2h11' }],\n [\n 'path',\n {\n d: 'M22 18H11a2 2 0 1 0 0 4h10.5a.5.5 0 0 0 .5-.5v-15a.5.5 0 0 0-.5-.5H11a2 2 0 0 0-2 2v12',\n },\n ],\n ['path', { d: 'M5 14H4a2 2 0 1 0 0 4h1' }],\n ],\n];\n\nexport default BookCopy;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-dashed\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-dashed\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookDashed: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 17h2' }],\n ['path', { d: 'M12 22h2' }],\n ['path', { d: 'M12 2h2' }],\n ['path', { d: 'M18 22h1a1 1 0 0 0 1-1' }],\n ['path', { d: 'M18 2h1a1 1 0 0 1 1 1v1' }],\n ['path', { d: 'M20 15v2h-2' }],\n ['path', { d: 'M20 8v3' }],\n ['path', { d: 'M4 11V9' }],\n ['path', { d: 'M4 19.5V15' }],\n ['path', { d: 'M4 5v-.5A2.5 2.5 0 0 1 6.5 2H8' }],\n ['path', { d: 'M8 22H6.5a1 1 0 0 1 0-5H8' }],\n ],\n];\n\nexport default BookDashed;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 13V7' }],\n [\n 'path',\n {\n d: 'M4 19.5v-15A2.5 2.5 0 0 1 6.5 2H19a1 1 0 0 1 1 1v18a1 1 0 0 1-1 1H6.5a1 1 0 0 1 0-5H20',\n },\n ],\n ['path', { d: 'm9 10 3 3 3-3' }],\n ],\n];\n\nexport default BookDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-headphones\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-headphones\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookHeadphones: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M4 19.5v-15A2.5 2.5 0 0 1 6.5 2H19a1 1 0 0 1 1 1v18a1 1 0 0 1-1 1H6.5a1 1 0 0 1 0-5H20',\n },\n ],\n ['path', { d: 'M8 12v-2a4 4 0 0 1 8 0v2' }],\n ['circle', { cx: '15', cy: '12', r: '1' }],\n ['circle', { cx: '9', cy: '12', r: '1' }],\n ],\n];\n\nexport default BookHeadphones;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-heart\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-heart\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookHeart: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M16 8.2A2.22 2.22 0 0 0 13.8 6c-.8 0-1.4.3-1.8.9-.4-.6-1-.9-1.8-.9A2.22 2.22 0 0 0 8 8.2c0 .6.3 1.2.7 1.6A226.652 226.652 0 0 0 12 13a404 404 0 0 0 3.3-3.1 2.413 2.413 0 0 0 .7-1.7',\n },\n ],\n [\n 'path',\n {\n d: 'M4 19.5v-15A2.5 2.5 0 0 1 6.5 2H19a1 1 0 0 1 1 1v18a1 1 0 0 1-1 1H6.5a1 1 0 0 1 0-5H20',\n },\n ],\n ],\n];\n\nexport default BookHeart;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-image\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-image\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookImage: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm20 13.7-2.1-2.1a2 2 0 0 0-2.8 0L9.7 17' }],\n [\n 'path',\n {\n d: 'M4 19.5v-15A2.5 2.5 0 0 1 6.5 2H19a1 1 0 0 1 1 1v18a1 1 0 0 1-1 1H6.5a1 1 0 0 1 0-5H20',\n },\n ],\n ['circle', { cx: '10', cy: '8', r: '2' }],\n ],\n];\n\nexport default BookImage;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-key\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-key\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookKey: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm19 3 1 1' }],\n ['path', { d: 'm20 2-4.5 4.5' }],\n ['path', { d: 'M20 8v13a1 1 0 0 1-1 1H6.5a1 1 0 0 1 0-5H20' }],\n ['path', { d: 'M4 19.5v-15A2.5 2.5 0 0 1 6.5 2H14' }],\n ['circle', { cx: '14', cy: '8', r: '2' }],\n ],\n];\n\nexport default BookKey;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-lock\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-lock\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookLock: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18 6V4a2 2 0 1 0-4 0v2' }],\n ['path', { d: 'M20 15v6a1 1 0 0 1-1 1H6.5a1 1 0 0 1 0-5H20' }],\n ['path', { d: 'M4 19.5v-15A2.5 2.5 0 0 1 6.5 2H10' }],\n ['rect', { x: '12', y: '6', width: '8', height: '5', rx: '1' }],\n ],\n];\n\nexport default BookLock;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-marked\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-marked\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookMarked: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 2v8l3-3 3 3V2' }],\n [\n 'path',\n {\n d: 'M4 19.5v-15A2.5 2.5 0 0 1 6.5 2H19a1 1 0 0 1 1 1v18a1 1 0 0 1-1 1H6.5a1 1 0 0 1 0-5H20',\n },\n ],\n ],\n];\n\nexport default BookMarked;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M4 19.5v-15A2.5 2.5 0 0 1 6.5 2H19a1 1 0 0 1 1 1v18a1 1 0 0 1-1 1H6.5a1 1 0 0 1 0-5H20',\n },\n ],\n ['path', { d: 'M9 10h6' }],\n ],\n];\n\nexport default BookMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-open-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-open-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookOpenCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 3H2v15h7c1.7 0 3 1.3 3 3V7c0-2.2-1.8-4-4-4Z' }],\n ['path', { d: 'm16 12 2 2 4-4' }],\n ['path', { d: 'M22 6V3h-6c-2.2 0-4 1.8-4 4v14c0-1.7 1.3-3 3-3h7v-2.3' }],\n ],\n];\n\nexport default BookOpenCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-open-text\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-open-text\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookOpenText: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 3h6a4 4 0 0 1 4 4v14a3 3 0 0 0-3-3H2z' }],\n ['path', { d: 'M22 3h-6a4 4 0 0 0-4 4v14a3 3 0 0 1 3-3h7z' }],\n ['path', { d: 'M6 8h2' }],\n ['path', { d: 'M6 12h2' }],\n ['path', { d: 'M16 8h2' }],\n ['path', { d: 'M16 12h2' }],\n ],\n];\n\nexport default BookOpenText;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-open\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-open\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookOpen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 3h6a4 4 0 0 1 4 4v14a3 3 0 0 0-3-3H2z' }],\n ['path', { d: 'M22 3h-6a4 4 0 0 0-4 4v14a3 3 0 0 1 3-3h7z' }],\n ],\n];\n\nexport default BookOpen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookPlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 7v6' }],\n [\n 'path',\n {\n d: 'M4 19.5v-15A2.5 2.5 0 0 1 6.5 2H19a1 1 0 0 1 1 1v18a1 1 0 0 1-1 1H6.5a1 1 0 0 1 0-5H20',\n },\n ],\n ['path', { d: 'M9 10h6' }],\n ],\n];\n\nexport default BookPlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-text\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-text\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookText: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M4 19.5v-15A2.5 2.5 0 0 1 6.5 2H19a1 1 0 0 1 1 1v18a1 1 0 0 1-1 1H6.5a1 1 0 0 1 0-5H20',\n },\n ],\n ['path', { d: 'M8 11h8' }],\n ['path', { d: 'M8 7h6' }],\n ],\n];\n\nexport default BookText;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-type\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-type\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookType: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 13h4' }],\n ['path', { d: 'M12 6v7' }],\n ['path', { d: 'M16 8V6H8v2' }],\n [\n 'path',\n {\n d: 'M4 19.5v-15A2.5 2.5 0 0 1 6.5 2H19a1 1 0 0 1 1 1v18a1 1 0 0 1-1 1H6.5a1 1 0 0 1 0-5H20',\n },\n ],\n ],\n];\n\nexport default BookType;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-up-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-up-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookUp2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 13V7' }],\n ['path', { d: 'M18 2h1a1 1 0 0 1 1 1v18a1 1 0 0 1-1 1H6.5a1 1 0 0 1 0-5H20' }],\n ['path', { d: 'M4 19.5v-15A2.5 2.5 0 0 1 6.5 2' }],\n ['path', { d: 'm9 10 3-3 3 3' }],\n ['path', { d: 'm9 5 3-3 3 3' }],\n ],\n];\n\nexport default BookUp2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 13V7' }],\n [\n 'path',\n {\n d: 'M4 19.5v-15A2.5 2.5 0 0 1 6.5 2H19a1 1 0 0 1 1 1v18a1 1 0 0 1-1 1H6.5a1 1 0 0 1 0-5H20',\n },\n ],\n ['path', { d: 'm9 10 3-3 3 3' }],\n ],\n];\n\nexport default BookUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-user\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-user\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookUser: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 13a3 3 0 1 0-6 0' }],\n [\n 'path',\n {\n d: 'M4 19.5v-15A2.5 2.5 0 0 1 6.5 2H19a1 1 0 0 1 1 1v18a1 1 0 0 1-1 1H6.5a1 1 0 0 1 0-5H20',\n },\n ],\n ['circle', { cx: '12', cy: '8', r: '2' }],\n ],\n];\n\nexport default BookUser;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm14.5 7-5 5' }],\n [\n 'path',\n {\n d: 'M4 19.5v-15A2.5 2.5 0 0 1 6.5 2H19a1 1 0 0 1 1 1v18a1 1 0 0 1-1 1H6.5a1 1 0 0 1 0-5H20',\n },\n ],\n ['path', { d: 'm9.5 7 5 5' }],\n ],\n];\n\nexport default BookX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name book\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/book\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Book: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M4 19.5v-15A2.5 2.5 0 0 1 6.5 2H19a1 1 0 0 1 1 1v18a1 1 0 0 1-1 1H6.5a1 1 0 0 1 0-5H20',\n },\n ],\n ],\n];\n\nexport default Book;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bookmark-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bookmark-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookmarkCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm19 21-7-4-7 4V5a2 2 0 0 1 2-2h10a2 2 0 0 1 2 2Z' }],\n ['path', { d: 'm9 10 2 2 4-4' }],\n ],\n];\n\nexport default BookmarkCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bookmark-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bookmark-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookmarkMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm19 21-7-4-7 4V5a2 2 0 0 1 2-2h10a2 2 0 0 1 2 2v16z' }],\n ['line', { x1: '15', x2: '9', y1: '10', y2: '10' }],\n ],\n];\n\nexport default BookmarkMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bookmark-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bookmark-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookmarkPlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm19 21-7-4-7 4V5a2 2 0 0 1 2-2h10a2 2 0 0 1 2 2v16z' }],\n ['line', { x1: '12', x2: '12', y1: '7', y2: '13' }],\n ['line', { x1: '15', x2: '9', y1: '10', y2: '10' }],\n ],\n];\n\nexport default BookmarkPlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bookmark-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bookmark-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BookmarkX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm19 21-7-4-7 4V5a2 2 0 0 1 2-2h10a2 2 0 0 1 2 2Z' }],\n ['path', { d: 'm14.5 7.5-5 5' }],\n ['path', { d: 'm9.5 7.5 5 5' }],\n ],\n];\n\nexport default BookmarkX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bookmark\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bookmark\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Bookmark: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'm19 21-7-4-7 4V5a2 2 0 0 1 2-2h10a2 2 0 0 1 2 2v16z' }]],\n];\n\nexport default Bookmark;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name boom-box\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/boom-box\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BoomBox: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 9V5a2 2 0 0 1 2-2h12a2 2 0 0 1 2 2v4' }],\n ['path', { d: 'M8 8v1' }],\n ['path', { d: 'M12 8v1' }],\n ['path', { d: 'M16 8v1' }],\n ['rect', { width: '20', height: '12', x: '2', y: '9', rx: '2' }],\n ['circle', { cx: '8', cy: '15', r: '2' }],\n ['circle', { cx: '16', cy: '15', r: '2' }],\n ],\n];\n\nexport default BoomBox;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bot-message-square\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bot-message-square\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BotMessageSquare: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 6V2H8' }],\n ['path', { d: 'm8 18-4 4V8a2 2 0 0 1 2-2h12a2 2 0 0 1 2 2v8a2 2 0 0 1-2 2Z' }],\n ['path', { d: 'M2 12h2' }],\n ['path', { d: 'M9 11v2' }],\n ['path', { d: 'M15 11v2' }],\n ['path', { d: 'M20 12h2' }],\n ],\n];\n\nexport default BotMessageSquare;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bot-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bot-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BotOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13.67 8H18a2 2 0 0 1 2 2v4.33' }],\n ['path', { d: 'M2 14h2' }],\n ['path', { d: 'M20 14h2' }],\n ['path', { d: 'M22 22 2 2' }],\n ['path', { d: 'M8 8H6a2 2 0 0 0-2 2v8a2 2 0 0 0 2 2h12a2 2 0 0 0 1.414-.586' }],\n ['path', { d: 'M9 13v2' }],\n ['path', { d: 'M9.67 4H12v2.33' }],\n ],\n];\n\nexport default BotOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bot\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bot\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Bot: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 8V4H8' }],\n ['rect', { width: '16', height: '12', x: '4', y: '8', rx: '2' }],\n ['path', { d: 'M2 14h2' }],\n ['path', { d: 'M20 14h2' }],\n ['path', { d: 'M15 13v2' }],\n ['path', { d: 'M9 13v2' }],\n ],\n];\n\nexport default Bot;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name box-select\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/box-select\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BoxSelect: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5 3a2 2 0 0 0-2 2' }],\n ['path', { d: 'M19 3a2 2 0 0 1 2 2' }],\n ['path', { d: 'M21 19a2 2 0 0 1-2 2' }],\n ['path', { d: 'M5 21a2 2 0 0 1-2-2' }],\n ['path', { d: 'M9 3h1' }],\n ['path', { d: 'M9 21h1' }],\n ['path', { d: 'M14 3h1' }],\n ['path', { d: 'M14 21h1' }],\n ['path', { d: 'M3 9v1' }],\n ['path', { d: 'M21 9v1' }],\n ['path', { d: 'M3 14v1' }],\n ['path', { d: 'M21 14v1' }],\n ],\n];\n\nexport default BoxSelect;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name box\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/box\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Box: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M21 8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16Z',\n },\n ],\n ['path', { d: 'm3.3 7 8.7 5 8.7-5' }],\n ['path', { d: 'M12 22V12' }],\n ],\n];\n\nexport default Box;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name boxes\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/boxes\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Boxes: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2.97 12.92A2 2 0 0 0 2 14.63v3.24a2 2 0 0 0 .97 1.71l3 1.8a2 2 0 0 0 2.06 0L12 19v-5.5l-5-3-4.03 2.42Z',\n },\n ],\n ['path', { d: 'm7 16.5-4.74-2.85' }],\n ['path', { d: 'm7 16.5 5-3' }],\n ['path', { d: 'M7 16.5v5.17' }],\n [\n 'path',\n {\n d: 'M12 13.5V19l3.97 2.38a2 2 0 0 0 2.06 0l3-1.8a2 2 0 0 0 .97-1.71v-3.24a2 2 0 0 0-.97-1.71L17 10.5l-5 3Z',\n },\n ],\n ['path', { d: 'm17 16.5-5-3' }],\n ['path', { d: 'm17 16.5 4.74-2.85' }],\n ['path', { d: 'M17 16.5v5.17' }],\n [\n 'path',\n {\n d: 'M7.97 4.42A2 2 0 0 0 7 6.13v4.37l5 3 5-3V6.13a2 2 0 0 0-.97-1.71l-3-1.8a2 2 0 0 0-2.06 0l-3 1.8Z',\n },\n ],\n ['path', { d: 'M12 8 7.26 5.15' }],\n ['path', { d: 'm12 8 4.74-2.85' }],\n ['path', { d: 'M12 13.5V8' }],\n ],\n];\n\nexport default Boxes;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name braces\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/braces\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Braces: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 3H7a2 2 0 0 0-2 2v5a2 2 0 0 1-2 2 2 2 0 0 1 2 2v5c0 1.1.9 2 2 2h1' }],\n ['path', { d: 'M16 21h1a2 2 0 0 0 2-2v-5c0-1.1.9-2 2-2a2 2 0 0 1-2-2V5a2 2 0 0 0-2-2h-1' }],\n ],\n];\n\nexport default Braces;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name brackets\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/brackets\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Brackets: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 3h3v18h-3' }],\n ['path', { d: 'M8 21H5V3h3' }],\n ],\n];\n\nexport default Brackets;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name brain-circuit\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/brain-circuit\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BrainCircuit: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n { d: 'M12 5a3 3 0 1 0-5.997.125 4 4 0 0 0-2.526 5.77 4 4 0 0 0 .556 6.588A4 4 0 1 0 12 18Z' },\n ],\n ['path', { d: 'M9 13a4.5 4.5 0 0 0 3-4' }],\n ['path', { d: 'M6.003 5.125A3 3 0 0 0 6.401 6.5' }],\n ['path', { d: 'M3.477 10.896a4 4 0 0 1 .585-.396' }],\n ['path', { d: 'M6 18a4 4 0 0 1-1.967-.516' }],\n ['path', { d: 'M12 13h4' }],\n ['path', { d: 'M12 18h6a2 2 0 0 1 2 2v1' }],\n ['path', { d: 'M12 8h8' }],\n ['path', { d: 'M16 8V5a2 2 0 0 1 2-2' }],\n ['circle', { cx: '16', cy: '13', r: '.5' }],\n ['circle', { cx: '18', cy: '3', r: '.5' }],\n ['circle', { cx: '20', cy: '21', r: '.5' }],\n ['circle', { cx: '20', cy: '8', r: '.5' }],\n ],\n];\n\nexport default BrainCircuit;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name brain-cog\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/brain-cog\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BrainCog: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M12 5a3 3 0 1 0-5.997.142 4 4 0 0 0-2.526 5.77 4 4 0 0 0 .556 6.588 4 4 0 0 0 7.636 2.106 3.2 3.2 0 0 0 .164-.546c.028-.13.306-.13.335 0a3.2 3.2 0 0 0 .163.546 4 4 0 0 0 7.636-2.106 4 4 0 0 0 .556-6.588 4 4 0 0 0-2.526-5.77A3 3 0 1 0 12 5',\n },\n ],\n ['path', { d: 'M17.599 6.5a3 3 0 0 0 .399-1.375' }],\n ['path', { d: 'M6.003 5.125A3 3 0 0 0 6.401 6.5' }],\n ['path', { d: 'M3.477 10.896a4 4 0 0 1 .585-.396' }],\n ['path', { d: 'M19.938 10.5a4 4 0 0 1 .585.396' }],\n ['path', { d: 'M6 18a4 4 0 0 1-1.967-.516' }],\n ['path', { d: 'M19.967 17.484A4 4 0 0 1 18 18' }],\n ['circle', { cx: '12', cy: '12', r: '3' }],\n ['path', { d: 'm15.7 10.4-.9.4' }],\n ['path', { d: 'm9.2 13.2-.9.4' }],\n ['path', { d: 'm13.6 15.7-.4-.9' }],\n ['path', { d: 'm10.8 9.2-.4-.9' }],\n ['path', { d: 'm15.7 13.5-.9-.4' }],\n ['path', { d: 'm9.2 10.9-.9-.4' }],\n ['path', { d: 'm10.5 15.7.4-.9' }],\n ['path', { d: 'm13.1 9.2.4-.9' }],\n ],\n];\n\nexport default BrainCog;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name brain\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/brain\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Brain: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n { d: 'M12 5a3 3 0 1 0-5.997.125 4 4 0 0 0-2.526 5.77 4 4 0 0 0 .556 6.588A4 4 0 1 0 12 18Z' },\n ],\n [\n 'path',\n { d: 'M12 5a3 3 0 1 1 5.997.125 4 4 0 0 1 2.526 5.77 4 4 0 0 1-.556 6.588A4 4 0 1 1 12 18Z' },\n ],\n ['path', { d: 'M15 13a4.5 4.5 0 0 1-3-4 4.5 4.5 0 0 1-3 4' }],\n ['path', { d: 'M17.599 6.5a3 3 0 0 0 .399-1.375' }],\n ['path', { d: 'M6.003 5.125A3 3 0 0 0 6.401 6.5' }],\n ['path', { d: 'M3.477 10.896a4 4 0 0 1 .585-.396' }],\n ['path', { d: 'M19.938 10.5a4 4 0 0 1 .585.396' }],\n ['path', { d: 'M6 18a4 4 0 0 1-1.967-.516' }],\n ['path', { d: 'M19.967 17.484A4 4 0 0 1 18 18' }],\n ],\n];\n\nexport default Brain;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name brick-wall\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/brick-wall\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BrickWall: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M12 9v6' }],\n ['path', { d: 'M16 15v6' }],\n ['path', { d: 'M16 3v6' }],\n ['path', { d: 'M3 15h18' }],\n ['path', { d: 'M3 9h18' }],\n ['path', { d: 'M8 15v6' }],\n ['path', { d: 'M8 3v6' }],\n ],\n];\n\nexport default BrickWall;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name briefcase-business\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/briefcase-business\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BriefcaseBusiness: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 12h.01' }],\n ['path', { d: 'M16 6V4a2 2 0 0 0-2-2h-4a2 2 0 0 0-2 2v2' }],\n ['path', { d: 'M22 13a18.15 18.15 0 0 1-20 0' }],\n ['rect', { width: '20', height: '14', x: '2', y: '6', rx: '2' }],\n ],\n];\n\nexport default BriefcaseBusiness;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name briefcase-medical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/briefcase-medical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BriefcaseMedical: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 11v4' }],\n ['path', { d: 'M14 13h-4' }],\n ['path', { d: 'M16 6V4a2 2 0 0 0-2-2h-4a2 2 0 0 0-2 2v2' }],\n ['path', { d: 'M18 6v14' }],\n ['path', { d: 'M6 6v14' }],\n ['rect', { width: '20', height: '14', x: '2', y: '6', rx: '2' }],\n ],\n];\n\nexport default BriefcaseMedical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name briefcase\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/briefcase\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Briefcase: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 20V4a2 2 0 0 0-2-2h-4a2 2 0 0 0-2 2v16' }],\n ['rect', { width: '20', height: '14', x: '2', y: '6', rx: '2' }],\n ],\n];\n\nexport default Briefcase;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bring-to-front\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bring-to-front\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BringToFront: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { x: '8', y: '8', width: '8', height: '8', rx: '2' }],\n ['path', { d: 'M4 10a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h4a2 2 0 0 1 2 2' }],\n ['path', { d: 'M14 20a2 2 0 0 0 2 2h4a2 2 0 0 0 2-2v-4a2 2 0 0 0-2-2' }],\n ],\n];\n\nexport default BringToFront;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name brush\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/brush\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Brush: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm9.06 11.9 8.07-8.06a2.85 2.85 0 1 1 4.03 4.03l-8.06 8.08' }],\n [\n 'path',\n {\n d: 'M7.07 14.94c-1.66 0-3 1.35-3 3.02 0 1.33-2.5 1.52-2 2.02 1.08 1.1 2.49 2.02 4 2.02 2.2 0 4-1.8 4-4.04a3.01 3.01 0 0 0-3-3.02z',\n },\n ],\n ],\n];\n\nexport default Brush;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bug-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bug-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BugOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 7.13V6a3 3 0 0 0-5.14-2.1L8 2' }],\n ['path', { d: 'M14.12 3.88 16 2' }],\n ['path', { d: 'M22 13h-4v-2a4 4 0 0 0-4-4h-1.3' }],\n ['path', { d: 'M20.97 5c0 2.1-1.6 3.8-3.5 4' }],\n ['path', { d: 'm2 2 20 20' }],\n ['path', { d: 'M7.7 7.7A4 4 0 0 0 6 11v3a6 6 0 0 0 11.13 3.13' }],\n ['path', { d: 'M12 20v-8' }],\n ['path', { d: 'M6 13H2' }],\n ['path', { d: 'M3 21c0-2.1 1.7-3.9 3.8-4' }],\n ],\n];\n\nexport default BugOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bug-play\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bug-play\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BugPlay: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M12.765 21.522a.5.5 0 0 1-.765-.424v-8.196a.5.5 0 0 1 .765-.424l5.878 3.674a1 1 0 0 1 0 1.696z',\n },\n ],\n ['path', { d: 'M14.12 3.88 16 2' }],\n ['path', { d: 'M18 11a4 4 0 0 0-4-4h-4a4 4 0 0 0-4 4v3a6.1 6.1 0 0 0 2 4.5' }],\n ['path', { d: 'M20.97 5c0 2.1-1.6 3.8-3.5 4' }],\n ['path', { d: 'M3 21c0-2.1 1.7-3.9 3.8-4' }],\n ['path', { d: 'M6 13H2' }],\n ['path', { d: 'M6.53 9C4.6 8.8 3 7.1 3 5' }],\n ['path', { d: 'm8 2 1.88 1.88' }],\n ['path', { d: 'M9 7.13v-1a3.003 3.003 0 1 1 6 0v1' }],\n ],\n];\n\nexport default BugPlay;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bug\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bug\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Bug: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm8 2 1.88 1.88' }],\n ['path', { d: 'M14.12 3.88 16 2' }],\n ['path', { d: 'M9 7.13v-1a3.003 3.003 0 1 1 6 0v1' }],\n ['path', { d: 'M12 20c-3.3 0-6-2.7-6-6v-3a4 4 0 0 1 4-4h4a4 4 0 0 1 4 4v3c0 3.3-2.7 6-6 6' }],\n ['path', { d: 'M12 20v-9' }],\n ['path', { d: 'M6.53 9C4.6 8.8 3 7.1 3 5' }],\n ['path', { d: 'M6 13H2' }],\n ['path', { d: 'M3 21c0-2.1 1.7-3.9 3.8-4' }],\n ['path', { d: 'M20.97 5c0 2.1-1.6 3.8-3.5 4' }],\n ['path', { d: 'M22 13h-4' }],\n ['path', { d: 'M17.2 17c2.1.1 3.8 1.9 3.8 4' }],\n ],\n];\n\nexport default Bug;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name building-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/building-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Building2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 22V4a2 2 0 0 1 2-2h8a2 2 0 0 1 2 2v18Z' }],\n ['path', { d: 'M6 12H4a2 2 0 0 0-2 2v6a2 2 0 0 0 2 2h2' }],\n ['path', { d: 'M18 9h2a2 2 0 0 1 2 2v9a2 2 0 0 1-2 2h-2' }],\n ['path', { d: 'M10 6h4' }],\n ['path', { d: 'M10 10h4' }],\n ['path', { d: 'M10 14h4' }],\n ['path', { d: 'M10 18h4' }],\n ],\n];\n\nexport default Building2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name building\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/building\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Building: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '16', height: '20', x: '4', y: '2', rx: '2', ry: '2' }],\n ['path', { d: 'M9 22v-4h6v4' }],\n ['path', { d: 'M8 6h.01' }],\n ['path', { d: 'M16 6h.01' }],\n ['path', { d: 'M12 6h.01' }],\n ['path', { d: 'M12 10h.01' }],\n ['path', { d: 'M12 14h.01' }],\n ['path', { d: 'M16 10h.01' }],\n ['path', { d: 'M16 14h.01' }],\n ['path', { d: 'M8 10h.01' }],\n ['path', { d: 'M8 14h.01' }],\n ],\n];\n\nexport default Building;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bus-front\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bus-front\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst BusFront: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 6 2 7' }],\n ['path', { d: 'M10 6h4' }],\n ['path', { d: 'm22 7-2-1' }],\n ['rect', { width: '16', height: '16', x: '4', y: '3', rx: '2' }],\n ['path', { d: 'M4 11h16' }],\n ['path', { d: 'M8 15h.01' }],\n ['path', { d: 'M16 15h.01' }],\n ['path', { d: 'M6 19v2' }],\n ['path', { d: 'M18 21v-2' }],\n ],\n];\n\nexport default BusFront;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name bus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/bus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Bus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 6v6' }],\n ['path', { d: 'M15 6v6' }],\n ['path', { d: 'M2 12h19.6' }],\n [\n 'path',\n {\n d: 'M18 18h3s.5-1.7.8-2.8c.1-.4.2-.8.2-1.2 0-.4-.1-.8-.2-1.2l-1.4-5C20.1 6.8 19.1 6 18 6H4a2 2 0 0 0-2 2v10h3',\n },\n ],\n ['circle', { cx: '7', cy: '18', r: '2' }],\n ['path', { d: 'M9 18h5' }],\n ['circle', { cx: '16', cy: '18', r: '2' }],\n ],\n];\n\nexport default Bus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cable-car\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cable-car\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CableCar: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 3h.01' }],\n ['path', { d: 'M14 2h.01' }],\n ['path', { d: 'm2 9 20-5' }],\n ['path', { d: 'M12 12V6.5' }],\n ['rect', { width: '16', height: '10', x: '4', y: '12', rx: '3' }],\n ['path', { d: 'M9 12v5' }],\n ['path', { d: 'M15 12v5' }],\n ['path', { d: 'M4 17h16' }],\n ],\n];\n\nexport default CableCar;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cable\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cable\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Cable: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M17 21v-2a1 1 0 0 1-1-1v-1a2 2 0 0 1 2-2h2a2 2 0 0 1 2 2v1a1 1 0 0 1-1 1' }],\n ['path', { d: 'M19 15V6.5a1 1 0 0 0-7 0v11a1 1 0 0 1-7 0V9' }],\n ['path', { d: 'M21 21v-2h-4' }],\n ['path', { d: 'M3 5h4V3' }],\n ['path', { d: 'M7 5a1 1 0 0 1 1 1v1a2 2 0 0 1-2 2H4a2 2 0 0 1-2-2V6a1 1 0 0 1 1-1V3' }],\n ],\n];\n\nexport default Cable;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cake-slice\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cake-slice\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CakeSlice: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '9', cy: '7', r: '2' }],\n ['path', { d: 'M7.2 7.9 3 11v9c0 .6.4 1 1 1h16c.6 0 1-.4 1-1v-9c0-2-3-6-7-8l-3.6 2.6' }],\n ['path', { d: 'M16 13H3' }],\n ['path', { d: 'M16 17H3' }],\n ],\n];\n\nexport default CakeSlice;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cake\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cake\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Cake: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M20 21v-8a2 2 0 0 0-2-2H6a2 2 0 0 0-2 2v8' }],\n ['path', { d: 'M4 16s.5-1 2-1 2.5 2 4 2 2.5-2 4-2 2.5 2 4 2 2-1 2-1' }],\n ['path', { d: 'M2 21h20' }],\n ['path', { d: 'M7 8v3' }],\n ['path', { d: 'M12 8v3' }],\n ['path', { d: 'M17 8v3' }],\n ['path', { d: 'M7 4h.01' }],\n ['path', { d: 'M12 4h.01' }],\n ['path', { d: 'M17 4h.01' }],\n ],\n];\n\nexport default Cake;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name calculator\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/calculator\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Calculator: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '16', height: '20', x: '4', y: '2', rx: '2' }],\n ['line', { x1: '8', x2: '16', y1: '6', y2: '6' }],\n ['line', { x1: '16', x2: '16', y1: '14', y2: '18' }],\n ['path', { d: 'M16 10h.01' }],\n ['path', { d: 'M12 10h.01' }],\n ['path', { d: 'M8 10h.01' }],\n ['path', { d: 'M12 14h.01' }],\n ['path', { d: 'M8 14h.01' }],\n ['path', { d: 'M12 18h.01' }],\n ['path', { d: 'M8 18h.01' }],\n ],\n];\n\nexport default Calculator;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name calendar-arrow-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/calendar-arrow-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CalendarArrowDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm14 18 4 4 4-4' }],\n ['path', { d: 'M16 2v4' }],\n ['path', { d: 'M18 14v8' }],\n ['path', { d: 'M21 11.354V6a2 2 0 0 0-2-2H5a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h7.343' }],\n ['path', { d: 'M3 10h18' }],\n ['path', { d: 'M8 2v4' }],\n ],\n];\n\nexport default CalendarArrowDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name calendar-arrow-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/calendar-arrow-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CalendarArrowUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm14 18 4-4 4 4' }],\n ['path', { d: 'M16 2v4' }],\n ['path', { d: 'M18 22v-8' }],\n ['path', { d: 'M21 11.343V6a2 2 0 0 0-2-2H5a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h9' }],\n ['path', { d: 'M3 10h18' }],\n ['path', { d: 'M8 2v4' }],\n ],\n];\n\nexport default CalendarArrowUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name calendar-check-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/calendar-check-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CalendarCheck2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 2v4' }],\n ['path', { d: 'M16 2v4' }],\n ['path', { d: 'M21 14V6a2 2 0 0 0-2-2H5a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h8' }],\n ['path', { d: 'M3 10h18' }],\n ['path', { d: 'm16 20 2 2 4-4' }],\n ],\n];\n\nexport default CalendarCheck2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name calendar-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/calendar-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CalendarCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 2v4' }],\n ['path', { d: 'M16 2v4' }],\n ['rect', { width: '18', height: '18', x: '3', y: '4', rx: '2' }],\n ['path', { d: 'M3 10h18' }],\n ['path', { d: 'm9 16 2 2 4-4' }],\n ],\n];\n\nexport default CalendarCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name calendar-clock\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/calendar-clock\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CalendarClock: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 7.5V6a2 2 0 0 0-2-2H5a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h3.5' }],\n ['path', { d: 'M16 2v4' }],\n ['path', { d: 'M8 2v4' }],\n ['path', { d: 'M3 10h5' }],\n ['path', { d: 'M17.5 17.5 16 16.3V14' }],\n ['circle', { cx: '16', cy: '16', r: '6' }],\n ],\n];\n\nexport default CalendarClock;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name calendar-cog\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/calendar-cog\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CalendarCog: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm15.2 16.9-.9-.4' }],\n ['path', { d: 'm15.2 19.1-.9.4' }],\n ['path', { d: 'M16 2v4' }],\n ['path', { d: 'm16.9 15.2-.4-.9' }],\n ['path', { d: 'm16.9 20.8-.4.9' }],\n ['path', { d: 'm19.5 14.3-.4.9' }],\n ['path', { d: 'm19.5 21.7-.4-.9' }],\n ['path', { d: 'M21 10.5V6a2 2 0 0 0-2-2H5a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h6' }],\n ['path', { d: 'm21.7 16.5-.9.4' }],\n ['path', { d: 'm21.7 19.5-.9-.4' }],\n ['path', { d: 'M3 10h18' }],\n ['path', { d: 'M8 2v4' }],\n ['circle', { cx: '18', cy: '18', r: '3' }],\n ],\n];\n\nexport default CalendarCog;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name calendar-days\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/calendar-days\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CalendarDays: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 2v4' }],\n ['path', { d: 'M16 2v4' }],\n ['rect', { width: '18', height: '18', x: '3', y: '4', rx: '2' }],\n ['path', { d: 'M3 10h18' }],\n ['path', { d: 'M8 14h.01' }],\n ['path', { d: 'M12 14h.01' }],\n ['path', { d: 'M16 14h.01' }],\n ['path', { d: 'M8 18h.01' }],\n ['path', { d: 'M12 18h.01' }],\n ['path', { d: 'M16 18h.01' }],\n ],\n];\n\nexport default CalendarDays;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name calendar-fold\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/calendar-fold\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CalendarFold: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 2v4' }],\n ['path', { d: 'M16 2v4' }],\n ['path', { d: 'M21 17V6a2 2 0 0 0-2-2H5a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h11Z' }],\n ['path', { d: 'M3 10h18' }],\n ['path', { d: 'M15 22v-4a2 2 0 0 1 2-2h4' }],\n ],\n];\n\nexport default CalendarFold;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name calendar-heart\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/calendar-heart\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CalendarHeart: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 10h18V6a2 2 0 0 0-2-2H5a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h7' }],\n ['path', { d: 'M8 2v4' }],\n ['path', { d: 'M16 2v4' }],\n [\n 'path',\n {\n d: 'M21.29 14.7a2.43 2.43 0 0 0-2.65-.52c-.3.12-.57.3-.8.53l-.34.34-.35-.34a2.43 2.43 0 0 0-2.65-.53c-.3.12-.56.3-.79.53-.95.94-1 2.53.2 3.74L17.5 22l3.6-3.55c1.2-1.21 1.14-2.8.19-3.74Z',\n },\n ],\n ],\n];\n\nexport default CalendarHeart;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name calendar-minus-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/calendar-minus-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CalendarMinus2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 2v4' }],\n ['path', { d: 'M16 2v4' }],\n ['rect', { width: '18', height: '18', x: '3', y: '4', rx: '2' }],\n ['path', { d: 'M3 10h18' }],\n ['path', { d: 'M10 16h4' }],\n ],\n];\n\nexport default CalendarMinus2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name calendar-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/calendar-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CalendarMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 19h6' }],\n ['path', { d: 'M16 2v4' }],\n ['path', { d: 'M21 15V6a2 2 0 0 0-2-2H5a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h8.5' }],\n ['path', { d: 'M3 10h18' }],\n ['path', { d: 'M8 2v4' }],\n ],\n];\n\nexport default CalendarMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name calendar-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/calendar-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CalendarOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4.2 4.2A2 2 0 0 0 3 6v14a2 2 0 0 0 2 2h14a2 2 0 0 0 1.82-1.18' }],\n ['path', { d: 'M21 15.5V6a2 2 0 0 0-2-2H9.5' }],\n ['path', { d: 'M16 2v4' }],\n ['path', { d: 'M3 10h7' }],\n ['path', { d: 'M21 10h-5.5' }],\n ['path', { d: 'm2 2 20 20' }],\n ],\n];\n\nexport default CalendarOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name calendar-plus-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/calendar-plus-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CalendarPlus2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 2v4' }],\n ['path', { d: 'M16 2v4' }],\n ['rect', { width: '18', height: '18', x: '3', y: '4', rx: '2' }],\n ['path', { d: 'M3 10h18' }],\n ['path', { d: 'M10 16h4' }],\n ['path', { d: 'M12 14v4' }],\n ],\n];\n\nexport default CalendarPlus2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name calendar-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/calendar-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CalendarPlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 2v4' }],\n ['path', { d: 'M16 2v4' }],\n ['path', { d: 'M21 13V6a2 2 0 0 0-2-2H5a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h8' }],\n ['path', { d: 'M3 10h18' }],\n ['path', { d: 'M16 19h6' }],\n ['path', { d: 'M19 16v6' }],\n ],\n];\n\nexport default CalendarPlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name calendar-range\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/calendar-range\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CalendarRange: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '4', rx: '2' }],\n ['path', { d: 'M16 2v4' }],\n ['path', { d: 'M3 10h18' }],\n ['path', { d: 'M8 2v4' }],\n ['path', { d: 'M17 14h-6' }],\n ['path', { d: 'M13 18H7' }],\n ['path', { d: 'M7 14h.01' }],\n ['path', { d: 'M17 18h.01' }],\n ],\n];\n\nexport default CalendarRange;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name calendar-search\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/calendar-search\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CalendarSearch: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 12V6a2 2 0 0 0-2-2H5a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h7.5' }],\n ['path', { d: 'M16 2v4' }],\n ['path', { d: 'M8 2v4' }],\n ['path', { d: 'M3 10h18' }],\n ['circle', { cx: '18', cy: '18', r: '3' }],\n ['path', { d: 'm22 22-1.5-1.5' }],\n ],\n];\n\nexport default CalendarSearch;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name calendar-x-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/calendar-x-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CalendarX2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 2v4' }],\n ['path', { d: 'M16 2v4' }],\n ['path', { d: 'M21 13V6a2 2 0 0 0-2-2H5a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h8' }],\n ['path', { d: 'M3 10h18' }],\n ['path', { d: 'm17 22 5-5' }],\n ['path', { d: 'm17 17 5 5' }],\n ],\n];\n\nexport default CalendarX2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name calendar-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/calendar-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CalendarX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 2v4' }],\n ['path', { d: 'M16 2v4' }],\n ['rect', { width: '18', height: '18', x: '3', y: '4', rx: '2' }],\n ['path', { d: 'M3 10h18' }],\n ['path', { d: 'm14 14-4 4' }],\n ['path', { d: 'm10 14 4 4' }],\n ],\n];\n\nexport default CalendarX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name calendar\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/calendar\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Calendar: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 2v4' }],\n ['path', { d: 'M16 2v4' }],\n ['rect', { width: '18', height: '18', x: '3', y: '4', rx: '2' }],\n ['path', { d: 'M3 10h18' }],\n ],\n];\n\nexport default Calendar;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name camera-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/camera-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CameraOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ['path', { d: 'M7 7H4a2 2 0 0 0-2 2v9a2 2 0 0 0 2 2h16' }],\n ['path', { d: 'M9.5 4h5L17 7h3a2 2 0 0 1 2 2v7.5' }],\n ['path', { d: 'M14.121 15.121A3 3 0 1 1 9.88 10.88' }],\n ],\n];\n\nexport default CameraOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name camera\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/camera\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Camera: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M14.5 4h-5L7 7H4a2 2 0 0 0-2 2v9a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2V9a2 2 0 0 0-2-2h-3l-2.5-3z',\n },\n ],\n ['circle', { cx: '12', cy: '13', r: '3' }],\n ],\n];\n\nexport default Camera;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name candy-cane\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/candy-cane\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CandyCane: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n { d: 'M5.7 21a2 2 0 0 1-3.5-2l8.6-14a6 6 0 0 1 10.4 6 2 2 0 1 1-3.464-2 2 2 0 1 0-3.464-2Z' },\n ],\n ['path', { d: 'M17.75 7 15 2.1' }],\n ['path', { d: 'M10.9 4.8 13 9' }],\n ['path', { d: 'm7.9 9.7 2 4.4' }],\n ['path', { d: 'M4.9 14.7 7 18.9' }],\n ],\n];\n\nexport default CandyCane;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name candy-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/candy-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CandyOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm8.5 8.5-1 1a4.95 4.95 0 0 0 7 7l1-1' }],\n ['path', { d: 'M11.843 6.187A4.947 4.947 0 0 1 16.5 7.5a4.947 4.947 0 0 1 1.313 4.657' }],\n ['path', { d: 'M14 16.5V14' }],\n ['path', { d: 'M14 6.5v1.843' }],\n ['path', { d: 'M10 10v7.5' }],\n [\n 'path',\n { d: 'm16 7 1-5 1.367.683A3 3 0 0 0 19.708 3H21v1.292a3 3 0 0 0 .317 1.341L22 7l-5 1' },\n ],\n [\n 'path',\n { d: 'm8 17-1 5-1.367-.683A3 3 0 0 0 4.292 21H3v-1.292a3 3 0 0 0-.317-1.341L2 17l5-1' },\n ],\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ],\n];\n\nexport default CandyOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name candy\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/candy\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Candy: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm9.5 7.5-2 2a4.95 4.95 0 1 0 7 7l2-2a4.95 4.95 0 1 0-7-7Z' }],\n ['path', { d: 'M14 6.5v10' }],\n ['path', { d: 'M10 7.5v10' }],\n ['path', { d: 'm16 7 1-5 1.37.68A3 3 0 0 0 19.7 3H21v1.3c0 .46.1.92.32 1.33L22 7l-5 1' }],\n ['path', { d: 'm8 17-1 5-1.37-.68A3 3 0 0 0 4.3 21H3v-1.3a3 3 0 0 0-.32-1.33L2 17l5-1' }],\n ],\n];\n\nexport default Candy;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cannabis\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cannabis\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Cannabis: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 22v-4' }],\n [\n 'path',\n {\n d: 'M7 12c-1.5 0-4.5 1.5-5 3 3.5 1.5 6 1 6 1-1.5 1.5-2 3.5-2 5 2.5 0 4.5-1.5 6-3 1.5 1.5 3.5 3 6 3 0-1.5-.5-3.5-2-5 0 0 2.5.5 6-1-.5-1.5-3.5-3-5-3 1.5-1 4-4 4-6-2.5 0-5.5 1.5-7 3 0-2.5-.5-5-2-7-1.5 2-2 4.5-2 7-1.5-1.5-4.5-3-7-3 0 2 2.5 5 4 6',\n },\n ],\n ],\n];\n\nexport default Cannabis;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name captions-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/captions-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CaptionsOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10.5 5H19a2 2 0 0 1 2 2v8.5' }],\n ['path', { d: 'M17 11h-.5' }],\n ['path', { d: 'M19 19H5a2 2 0 0 1-2-2V7a2 2 0 0 1 2-2' }],\n ['path', { d: 'm2 2 20 20' }],\n ['path', { d: 'M7 11h4' }],\n ['path', { d: 'M7 15h2.5' }],\n ],\n];\n\nexport default CaptionsOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name captions\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/captions\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Captions: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '14', x: '3', y: '5', rx: '2', ry: '2' }],\n ['path', { d: 'M7 15h4M15 15h2M7 11h2M13 11h4' }],\n ],\n];\n\nexport default Captions;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name car-front\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/car-front\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CarFront: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm21 8-2 2-1.5-3.7A2 2 0 0 0 15.646 5H8.4a2 2 0 0 0-1.903 1.257L5 10 3 8' }],\n ['path', { d: 'M7 14h.01' }],\n ['path', { d: 'M17 14h.01' }],\n ['rect', { width: '18', height: '8', x: '3', y: '10', rx: '2' }],\n ['path', { d: 'M5 18v2' }],\n ['path', { d: 'M19 18v2' }],\n ],\n];\n\nexport default CarFront;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name car-taxi-front\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/car-taxi-front\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CarTaxiFront: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 2h4' }],\n ['path', { d: 'm21 8-2 2-1.5-3.7A2 2 0 0 0 15.646 5H8.4a2 2 0 0 0-1.903 1.257L5 10 3 8' }],\n ['path', { d: 'M7 14h.01' }],\n ['path', { d: 'M17 14h.01' }],\n ['rect', { width: '18', height: '8', x: '3', y: '10', rx: '2' }],\n ['path', { d: 'M5 18v2' }],\n ['path', { d: 'M19 18v2' }],\n ],\n];\n\nexport default CarTaxiFront;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name car\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/car\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Car: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M19 17h2c.6 0 1-.4 1-1v-3c0-.9-.7-1.7-1.5-1.9C18.7 10.6 16 10 16 10s-1.3-1.4-2.2-2.3c-.5-.4-1.1-.7-1.8-.7H5c-.6 0-1.1.4-1.4.9l-1.4 2.9A3.7 3.7 0 0 0 2 12v4c0 .6.4 1 1 1h2',\n },\n ],\n ['circle', { cx: '7', cy: '17', r: '2' }],\n ['path', { d: 'M9 17h6' }],\n ['circle', { cx: '17', cy: '17', r: '2' }],\n ],\n];\n\nexport default Car;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name caravan\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/caravan\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Caravan: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '4', height: '4', x: '2', y: '9' }],\n ['rect', { width: '4', height: '10', x: '10', y: '9' }],\n ['path', { d: 'M18 19V9a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v8a2 2 0 0 0 2 2h2' }],\n ['circle', { cx: '8', cy: '19', r: '2' }],\n ['path', { d: 'M10 19h12v-2' }],\n ],\n];\n\nexport default Caravan;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name carrot\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/carrot\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Carrot: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2.27 21.7s9.87-3.5 12.73-6.36a4.5 4.5 0 0 0-6.36-6.37C5.77 11.84 2.27 21.7 2.27 21.7zM8.64 14l-2.05-2.04M15.34 15l-2.46-2.46',\n },\n ],\n ['path', { d: 'M22 9s-1.33-2-3.5-2C16.86 7 15 9 15 9s1.33 2 3.5 2S22 9 22 9z' }],\n ['path', { d: 'M15 2s-2 1.33-2 3.5S15 9 15 9s2-1.84 2-3.5C17 3.33 15 2 15 2z' }],\n ],\n];\n\nexport default Carrot;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name case-lower\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/case-lower\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CaseLower: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '7', cy: '12', r: '3' }],\n ['path', { d: 'M10 9v6' }],\n ['circle', { cx: '17', cy: '12', r: '3' }],\n ['path', { d: 'M14 7v8' }],\n ],\n];\n\nexport default CaseLower;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name case-sensitive\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/case-sensitive\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CaseSensitive: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 15 4-8 4 8' }],\n ['path', { d: 'M4 13h6' }],\n ['circle', { cx: '18', cy: '12', r: '3' }],\n ['path', { d: 'M21 9v6' }],\n ],\n];\n\nexport default CaseSensitive;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name case-upper\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/case-upper\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CaseUpper: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 15 4-8 4 8' }],\n ['path', { d: 'M4 13h6' }],\n ['path', { d: 'M15 11h4.5a2 2 0 0 1 0 4H15V7h4a2 2 0 0 1 0 4' }],\n ],\n];\n\nexport default CaseUpper;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cassette-tape\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cassette-tape\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CassetteTape: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '16', x: '2', y: '4', rx: '2' }],\n ['circle', { cx: '8', cy: '10', r: '2' }],\n ['path', { d: 'M8 12h8' }],\n ['circle', { cx: '16', cy: '10', r: '2' }],\n ['path', { d: 'm6 20 .7-2.9A1.4 1.4 0 0 1 8.1 16h7.8a1.4 1.4 0 0 1 1.4 1l.7 3' }],\n ],\n];\n\nexport default CassetteTape;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cast\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cast\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Cast: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 8V6a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2v12a2 2 0 0 1-2 2h-6' }],\n ['path', { d: 'M2 12a9 9 0 0 1 8 8' }],\n ['path', { d: 'M2 16a5 5 0 0 1 4 4' }],\n ['line', { x1: '2', x2: '2.01', y1: '20', y2: '20' }],\n ],\n];\n\nexport default Cast;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name castle\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/castle\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Castle: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M22 20v-9H2v9a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2Z' }],\n ['path', { d: 'M18 11V4H6v7' }],\n ['path', { d: 'M15 22v-4a3 3 0 0 0-3-3a3 3 0 0 0-3 3v4' }],\n ['path', { d: 'M22 11V9' }],\n ['path', { d: 'M2 11V9' }],\n ['path', { d: 'M6 4V2' }],\n ['path', { d: 'M18 4V2' }],\n ['path', { d: 'M10 4V2' }],\n ['path', { d: 'M14 4V2' }],\n ],\n];\n\nexport default Castle;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cat\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cat\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Cat: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M12 5c.67 0 1.35.09 2 .26 1.78-2 5.03-2.84 6.42-2.26 1.4.58-.42 7-.42 7 .57 1.07 1 2.24 1 3.44C21 17.9 16.97 21 12 21s-9-3-9-7.56c0-1.25.5-2.4 1-3.44 0 0-1.89-6.42-.5-7 1.39-.58 4.72.23 6.5 2.23A9.04 9.04 0 0 1 12 5Z',\n },\n ],\n ['path', { d: 'M8 14v.5' }],\n ['path', { d: 'M16 14v.5' }],\n ['path', { d: 'M11.25 16.25h1.5L12 17l-.75-.75Z' }],\n ],\n];\n\nexport default Cat;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cctv\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cctv\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Cctv: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n { d: 'M16.75 12h3.632a1 1 0 0 1 .894 1.447l-2.034 4.069a1 1 0 0 1-1.708.134l-2.124-2.97' },\n ],\n [\n 'path',\n {\n d: 'M17.106 9.053a1 1 0 0 1 .447 1.341l-3.106 6.211a1 1 0 0 1-1.342.447L3.61 12.3a2.92 2.92 0 0 1-1.3-3.91L3.69 5.6a2.92 2.92 0 0 1 3.92-1.3z',\n },\n ],\n ['path', { d: 'M2 19h3.76a2 2 0 0 0 1.8-1.1L9 15' }],\n ['path', { d: 'M2 21v-4' }],\n ['path', { d: 'M7 9h.01' }],\n ],\n];\n\nexport default Cctv;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-area\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-area\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartArea: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 3v16a2 2 0 0 0 2 2h16' }],\n [\n 'path',\n {\n d: 'M7 11.207a.5.5 0 0 1 .146-.353l2-2a.5.5 0 0 1 .708 0l3.292 3.292a.5.5 0 0 0 .708 0l4.292-4.292a.5.5 0 0 1 .854.353V16a1 1 0 0 1-1 1H8a1 1 0 0 1-1-1z',\n },\n ],\n ],\n];\n\nexport default ChartArea;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-bar-big\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-bar-big\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartBarBig: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 3v16a2 2 0 0 0 2 2h16' }],\n ['rect', { x: '7', y: '13', width: '9', height: '4', rx: '1' }],\n ['rect', { x: '7', y: '5', width: '12', height: '4', rx: '1' }],\n ],\n];\n\nexport default ChartBarBig;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-bar-decreasing\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-bar-decreasing\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartBarDecreasing: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 3v16a2 2 0 0 0 2 2h16' }],\n ['path', { d: 'M7 11h8' }],\n ['path', { d: 'M7 16h3' }],\n ['path', { d: 'M7 6h12' }],\n ],\n];\n\nexport default ChartBarDecreasing;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-bar-increasing\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-bar-increasing\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartBarIncreasing: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 3v16a2 2 0 0 0 2 2h16' }],\n ['path', { d: 'M7 11h8' }],\n ['path', { d: 'M7 16h12' }],\n ['path', { d: 'M7 6h3' }],\n ],\n];\n\nexport default ChartBarIncreasing;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-bar-stacked\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-bar-stacked\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartBarStacked: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11 13v4' }],\n ['path', { d: 'M15 5v4' }],\n ['path', { d: 'M3 3v16a2 2 0 0 0 2 2h16' }],\n ['rect', { x: '7', y: '13', width: '9', height: '4', rx: '1' }],\n ['rect', { x: '7', y: '5', width: '12', height: '4', rx: '1' }],\n ],\n];\n\nexport default ChartBarStacked;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-bar\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-bar\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartBar: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 3v16a2 2 0 0 0 2 2h16' }],\n ['path', { d: 'M7 16h8' }],\n ['path', { d: 'M7 11h12' }],\n ['path', { d: 'M7 6h3' }],\n ],\n];\n\nexport default ChartBar;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-candlestick\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-candlestick\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartCandlestick: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M9 5v4' }],\n ['rect', { width: '4', height: '6', x: '7', y: '9', rx: '1' }],\n ['path', { d: 'M9 15v2' }],\n ['path', { d: 'M17 3v2' }],\n ['rect', { width: '4', height: '8', x: '15', y: '5', rx: '1' }],\n ['path', { d: 'M17 13v3' }],\n ['path', { d: 'M3 3v16a2 2 0 0 0 2 2h16' }],\n ],\n];\n\nexport default ChartCandlestick;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-column-big\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-column-big\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartColumnBig: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 3v16a2 2 0 0 0 2 2h16' }],\n ['rect', { x: '15', y: '5', width: '4', height: '12', rx: '1' }],\n ['rect', { x: '7', y: '8', width: '4', height: '9', rx: '1' }],\n ],\n];\n\nexport default ChartColumnBig;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-column-decreasing\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-column-decreasing\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartColumnDecreasing: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13 17V9' }],\n ['path', { d: 'M18 17v-3' }],\n ['path', { d: 'M3 3v16a2 2 0 0 0 2 2h16' }],\n ['path', { d: 'M8 17V5' }],\n ],\n];\n\nexport default ChartColumnDecreasing;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-column-increasing\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-column-increasing\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartColumnIncreasing: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13 17V9' }],\n ['path', { d: 'M18 17V5' }],\n ['path', { d: 'M3 3v16a2 2 0 0 0 2 2h16' }],\n ['path', { d: 'M8 17v-3' }],\n ],\n];\n\nexport default ChartColumnIncreasing;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-column-stacked\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-column-stacked\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartColumnStacked: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11 13H7' }],\n ['path', { d: 'M19 9h-4' }],\n ['path', { d: 'M3 3v16a2 2 0 0 0 2 2h16' }],\n ['rect', { x: '15', y: '5', width: '4', height: '12', rx: '1' }],\n ['rect', { x: '7', y: '8', width: '4', height: '9', rx: '1' }],\n ],\n];\n\nexport default ChartColumnStacked;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-column\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-column\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartColumn: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 3v16a2 2 0 0 0 2 2h16' }],\n ['path', { d: 'M18 17V9' }],\n ['path', { d: 'M13 17V5' }],\n ['path', { d: 'M8 17v-3' }],\n ],\n];\n\nexport default ChartColumn;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-line\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-line\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartLine: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 3v16a2 2 0 0 0 2 2h16' }],\n ['path', { d: 'm19 9-5 5-4-4-3 3' }],\n ],\n];\n\nexport default ChartLine;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-network\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-network\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartNetwork: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm13.11 7.664 1.78 2.672' }],\n ['path', { d: 'm14.162 12.788-3.324 1.424' }],\n ['path', { d: 'm20 4-6.06 1.515' }],\n ['path', { d: 'M3 3v16a2 2 0 0 0 2 2h16' }],\n ['circle', { cx: '12', cy: '6', r: '2' }],\n ['circle', { cx: '16', cy: '12', r: '2' }],\n ['circle', { cx: '9', cy: '15', r: '2' }],\n ],\n];\n\nexport default ChartNetwork;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-no-axes-column-decreasing\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-no-axes-column-decreasing\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartNoAxesColumnDecreasing: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 20V10' }],\n ['path', { d: 'M18 20v-4' }],\n ['path', { d: 'M6 20V4' }],\n ],\n];\n\nexport default ChartNoAxesColumnDecreasing;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-no-axes-column-increasing\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-no-axes-column-increasing\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartNoAxesColumnIncreasing: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '12', x2: '12', y1: '20', y2: '10' }],\n ['line', { x1: '18', x2: '18', y1: '20', y2: '4' }],\n ['line', { x1: '6', x2: '6', y1: '20', y2: '16' }],\n ],\n];\n\nexport default ChartNoAxesColumnIncreasing;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-no-axes-column\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-no-axes-column\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartNoAxesColumn: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '18', x2: '18', y1: '20', y2: '10' }],\n ['line', { x1: '12', x2: '12', y1: '20', y2: '4' }],\n ['line', { x1: '6', x2: '6', y1: '20', y2: '14' }],\n ],\n];\n\nexport default ChartNoAxesColumn;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-no-axes-combined\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-no-axes-combined\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartNoAxesCombined: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 16v5' }],\n ['path', { d: 'M16 14v7' }],\n ['path', { d: 'M20 10v11' }],\n ['path', { d: 'm22 3-8.646 8.646a.5.5 0 0 1-.708 0L9.354 8.354a.5.5 0 0 0-.707 0L2 15' }],\n ['path', { d: 'M4 18v3' }],\n ['path', { d: 'M8 14v7' }],\n ],\n];\n\nexport default ChartNoAxesCombined;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-no-axes-gantt\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-no-axes-gantt\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartNoAxesGantt: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 6h10' }],\n ['path', { d: 'M6 12h9' }],\n ['path', { d: 'M11 18h7' }],\n ],\n];\n\nexport default ChartNoAxesGantt;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-pie\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-pie\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartPie: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M21 12c.552 0 1.005-.449.95-.998a10 10 0 0 0-8.953-8.951c-.55-.055-.998.398-.998.95v8a1 1 0 0 0 1 1z',\n },\n ],\n ['path', { d: 'M21.21 15.89A10 10 0 1 1 8 2.83' }],\n ],\n];\n\nexport default ChartPie;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-scatter\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-scatter\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartScatter: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '7.5', cy: '7.5', r: '.5', fill: 'currentColor' }],\n ['circle', { cx: '18.5', cy: '5.5', r: '.5', fill: 'currentColor' }],\n ['circle', { cx: '11.5', cy: '11.5', r: '.5', fill: 'currentColor' }],\n ['circle', { cx: '7.5', cy: '16.5', r: '.5', fill: 'currentColor' }],\n ['circle', { cx: '17.5', cy: '14.5', r: '.5', fill: 'currentColor' }],\n ['path', { d: 'M3 3v16a2 2 0 0 0 2 2h16' }],\n ],\n];\n\nexport default ChartScatter;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chart-spline\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chart-spline\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChartSpline: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 3v16a2 2 0 0 0 2 2h16' }],\n ['path', { d: 'M7 16c.5-2 1.5-7 4-7 2 0 2 3 4 3 2.5 0 4.5-5 5-7' }],\n ],\n];\n\nexport default ChartSpline;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name check-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/check-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CheckCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18 6 7 17l-5-5' }],\n ['path', { d: 'm22 10-7.5 7.5L13 16' }],\n ],\n];\n\nexport default CheckCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Check: IconNode = ['svg', defaultAttributes, [['path', { d: 'M20 6 9 17l-5-5' }]]];\n\nexport default Check;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chef-hat\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chef-hat\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChefHat: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M17 21a1 1 0 0 0 1-1v-5.35c0-.457.316-.844.727-1.041a4 4 0 0 0-2.134-7.589 5 5 0 0 0-9.186 0 4 4 0 0 0-2.134 7.588c.411.198.727.585.727 1.041V20a1 1 0 0 0 1 1Z',\n },\n ],\n ['path', { d: 'M6 17h12' }],\n ],\n];\n\nexport default ChefHat;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cherry\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cherry\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Cherry: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 17a5 5 0 0 0 10 0c0-2.76-2.5-5-5-3-2.5-2-5 .24-5 3Z' }],\n ['path', { d: 'M12 17a5 5 0 0 0 10 0c0-2.76-2.5-5-5-3-2.5-2-5 .24-5 3Z' }],\n ['path', { d: 'M7 14c3.22-2.91 4.29-8.75 5-12 1.66 2.38 4.94 9 5 12' }],\n ['path', { d: 'M22 9c-4.29 0-7.14-2.33-10-7 5.71 0 10 4.67 10 7Z' }],\n ],\n];\n\nexport default Cherry;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chevron-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chevron-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChevronDown: IconNode = ['svg', defaultAttributes, [['path', { d: 'm6 9 6 6 6-6' }]]];\n\nexport default ChevronDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chevron-first\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chevron-first\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChevronFirst: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm17 18-6-6 6-6' }],\n ['path', { d: 'M7 6v12' }],\n ],\n];\n\nexport default ChevronFirst;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chevron-last\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chevron-last\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChevronLast: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm7 18 6-6-6-6' }],\n ['path', { d: 'M17 6v12' }],\n ],\n];\n\nexport default ChevronLast;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chevron-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chevron-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChevronLeft: IconNode = ['svg', defaultAttributes, [['path', { d: 'm15 18-6-6 6-6' }]]];\n\nexport default ChevronLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chevron-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chevron-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChevronRight: IconNode = ['svg', defaultAttributes, [['path', { d: 'm9 18 6-6-6-6' }]]];\n\nexport default ChevronRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chevron-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chevron-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChevronUp: IconNode = ['svg', defaultAttributes, [['path', { d: 'm18 15-6-6-6 6' }]]];\n\nexport default ChevronUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chevrons-down-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chevrons-down-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChevronsDownUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm7 20 5-5 5 5' }],\n ['path', { d: 'm7 4 5 5 5-5' }],\n ],\n];\n\nexport default ChevronsDownUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chevrons-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chevrons-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChevronsDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm7 6 5 5 5-5' }],\n ['path', { d: 'm7 13 5 5 5-5' }],\n ],\n];\n\nexport default ChevronsDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chevrons-left-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chevrons-left-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChevronsLeftRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm9 7-5 5 5 5' }],\n ['path', { d: 'm15 7 5 5-5 5' }],\n ],\n];\n\nexport default ChevronsLeftRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chevrons-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chevrons-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChevronsLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm11 17-5-5 5-5' }],\n ['path', { d: 'm18 17-5-5 5-5' }],\n ],\n];\n\nexport default ChevronsLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chevrons-right-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chevrons-right-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChevronsRightLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm20 17-5-5 5-5' }],\n ['path', { d: 'm4 17 5-5-5-5' }],\n ],\n];\n\nexport default ChevronsRightLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chevrons-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chevrons-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChevronsRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm6 17 5-5-5-5' }],\n ['path', { d: 'm13 17 5-5-5-5' }],\n ],\n];\n\nexport default ChevronsRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chevrons-up-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chevrons-up-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChevronsUpDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm7 15 5 5 5-5' }],\n ['path', { d: 'm7 9 5-5 5 5' }],\n ],\n];\n\nexport default ChevronsUpDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chevrons-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chevrons-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ChevronsUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm17 11-5-5-5 5' }],\n ['path', { d: 'm17 18-5-5-5 5' }],\n ],\n];\n\nexport default ChevronsUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name chrome\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/chrome\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n * @deprecated Brand icons have been deprecated and are due to be removed, please refer to https://github.com/lucide-icons/lucide/issues/670. We recommend using https://simpleicons.org/?q=chrome instead. This icon will be removed in v1.0\n */\nconst Chrome: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['circle', { cx: '12', cy: '12', r: '4' }],\n ['line', { x1: '21.17', x2: '12', y1: '8', y2: '8' }],\n ['line', { x1: '3.95', x2: '8.54', y1: '6.06', y2: '14' }],\n ['line', { x1: '10.88', x2: '15.46', y1: '21.94', y2: '14' }],\n ],\n];\n\nexport default Chrome;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name church\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/church\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Church: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 9h4' }],\n ['path', { d: 'M12 7v5' }],\n ['path', { d: 'M14 22v-4a2 2 0 0 0-4 0v4' }],\n [\n 'path',\n {\n d: 'M18 22V5.618a1 1 0 0 0-.553-.894l-4.553-2.277a2 2 0 0 0-1.788 0L6.553 4.724A1 1 0 0 0 6 5.618V22',\n },\n ],\n [\n 'path',\n {\n d: 'm18 7 3.447 1.724a1 1 0 0 1 .553.894V20a2 2 0 0 1-2 2H4a2 2 0 0 1-2-2V9.618a1 1 0 0 1 .553-.894L6 7',\n },\n ],\n ],\n];\n\nexport default Church;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cigarette-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cigarette-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CigaretteOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ['path', { d: 'M12 12H2v4h14' }],\n ['path', { d: 'M22 12v4' }],\n ['path', { d: 'M18 12h-.5' }],\n ['path', { d: 'M7 12v4' }],\n ['path', { d: 'M18 8c0-2.5-2-2.5-2-5' }],\n ['path', { d: 'M22 8c0-2.5-2-2.5-2-5' }],\n ],\n];\n\nexport default CigaretteOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cigarette\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cigarette\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Cigarette: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18 12H2v4h16' }],\n ['path', { d: 'M22 12v4' }],\n ['path', { d: 'M7 12v4' }],\n ['path', { d: 'M18 8c0-2.5-2-2.5-2-5' }],\n ['path', { d: 'M22 8c0-2.5-2-2.5-2-5' }],\n ],\n];\n\nexport default Cigarette;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-alert\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-alert\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleAlert: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['line', { x1: '12', x2: '12', y1: '8', y2: '12' }],\n ['line', { x1: '12', x2: '12.01', y1: '16', y2: '16' }],\n ],\n];\n\nexport default CircleAlert;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-arrow-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-arrow-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleArrowDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M12 8v8' }],\n ['path', { d: 'm8 12 4 4 4-4' }],\n ],\n];\n\nexport default CircleArrowDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-arrow-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-arrow-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleArrowLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M16 12H8' }],\n ['path', { d: 'm12 8-4 4 4 4' }],\n ],\n];\n\nexport default CircleArrowLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-arrow-out-down-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-arrow-out-down-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleArrowOutDownLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 12a10 10 0 1 1 10 10' }],\n ['path', { d: 'm2 22 10-10' }],\n ['path', { d: 'M8 22H2v-6' }],\n ],\n];\n\nexport default CircleArrowOutDownLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-arrow-out-down-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-arrow-out-down-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleArrowOutDownRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 22a10 10 0 1 1 10-10' }],\n ['path', { d: 'M22 22 12 12' }],\n ['path', { d: 'M22 16v6h-6' }],\n ],\n];\n\nexport default CircleArrowOutDownRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-arrow-out-up-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-arrow-out-up-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleArrowOutUpLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 8V2h6' }],\n ['path', { d: 'm2 2 10 10' }],\n ['path', { d: 'M12 2A10 10 0 1 1 2 12' }],\n ],\n];\n\nexport default CircleArrowOutUpLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-arrow-out-up-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-arrow-out-up-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleArrowOutUpRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M22 12A10 10 0 1 1 12 2' }],\n ['path', { d: 'M22 2 12 12' }],\n ['path', { d: 'M16 2h6v6' }],\n ],\n];\n\nexport default CircleArrowOutUpRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-arrow-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-arrow-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleArrowRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M8 12h8' }],\n ['path', { d: 'm12 16 4-4-4-4' }],\n ],\n];\n\nexport default CircleArrowRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-arrow-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-arrow-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleArrowUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'm16 12-4-4-4 4' }],\n ['path', { d: 'M12 16V8' }],\n ],\n];\n\nexport default CircleArrowUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-check-big\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-check-big\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleCheckBig: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M22 11.08V12a10 10 0 1 1-5.93-9.14' }],\n ['path', { d: 'm9 11 3 3L22 4' }],\n ],\n];\n\nexport default CircleCheckBig;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'm9 12 2 2 4-4' }],\n ],\n];\n\nexport default CircleCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-chevron-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-chevron-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleChevronDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'm16 10-4 4-4-4' }],\n ],\n];\n\nexport default CircleChevronDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-chevron-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-chevron-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleChevronLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'm14 16-4-4 4-4' }],\n ],\n];\n\nexport default CircleChevronLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-chevron-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-chevron-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleChevronRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'm10 8 4 4-4 4' }],\n ],\n];\n\nexport default CircleChevronRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-chevron-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-chevron-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleChevronUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'm8 14 4-4 4 4' }],\n ],\n];\n\nexport default CircleChevronUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-dashed\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-dashed\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleDashed: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10.1 2.182a10 10 0 0 1 3.8 0' }],\n ['path', { d: 'M13.9 21.818a10 10 0 0 1-3.8 0' }],\n ['path', { d: 'M17.609 3.721a10 10 0 0 1 2.69 2.7' }],\n ['path', { d: 'M2.182 13.9a10 10 0 0 1 0-3.8' }],\n ['path', { d: 'M20.279 17.609a10 10 0 0 1-2.7 2.69' }],\n ['path', { d: 'M21.818 10.1a10 10 0 0 1 0 3.8' }],\n ['path', { d: 'M3.721 6.391a10 10 0 0 1 2.7-2.69' }],\n ['path', { d: 'M6.391 20.279a10 10 0 0 1-2.69-2.7' }],\n ],\n];\n\nexport default CircleDashed;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-divide\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-divide\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleDivide: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '8', x2: '16', y1: '12', y2: '12' }],\n ['line', { x1: '12', x2: '12', y1: '16', y2: '16' }],\n ['line', { x1: '12', x2: '12', y1: '8', y2: '8' }],\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ],\n];\n\nexport default CircleDivide;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-dollar-sign\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-dollar-sign\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleDollarSign: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M16 8h-6a2 2 0 1 0 0 4h4a2 2 0 1 1 0 4H8' }],\n ['path', { d: 'M12 18V6' }],\n ],\n];\n\nexport default CircleDollarSign;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-dot-dashed\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-dot-dashed\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleDotDashed: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10.1 2.18a9.93 9.93 0 0 1 3.8 0' }],\n ['path', { d: 'M17.6 3.71a9.95 9.95 0 0 1 2.69 2.7' }],\n ['path', { d: 'M21.82 10.1a9.93 9.93 0 0 1 0 3.8' }],\n ['path', { d: 'M20.29 17.6a9.95 9.95 0 0 1-2.7 2.69' }],\n ['path', { d: 'M13.9 21.82a9.94 9.94 0 0 1-3.8 0' }],\n ['path', { d: 'M6.4 20.29a9.95 9.95 0 0 1-2.69-2.7' }],\n ['path', { d: 'M2.18 13.9a9.93 9.93 0 0 1 0-3.8' }],\n ['path', { d: 'M3.71 6.4a9.95 9.95 0 0 1 2.7-2.69' }],\n ['circle', { cx: '12', cy: '12', r: '1' }],\n ],\n];\n\nexport default CircleDotDashed;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-dot\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-dot\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleDot: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['circle', { cx: '12', cy: '12', r: '1' }],\n ],\n];\n\nexport default CircleDot;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-ellipsis\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-ellipsis\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleEllipsis: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M17 12h.01' }],\n ['path', { d: 'M12 12h.01' }],\n ['path', { d: 'M7 12h.01' }],\n ],\n];\n\nexport default CircleEllipsis;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-equal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-equal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleEqual: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7 10h10' }],\n ['path', { d: 'M7 14h10' }],\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ],\n];\n\nexport default CircleEqual;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-fading-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-fading-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleFadingPlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 2a10 10 0 0 1 7.38 16.75' }],\n ['path', { d: 'M12 8v8' }],\n ['path', { d: 'M16 12H8' }],\n ['path', { d: 'M2.5 8.875a10 10 0 0 0-.5 3' }],\n ['path', { d: 'M2.83 16a10 10 0 0 0 2.43 3.4' }],\n ['path', { d: 'M4.636 5.235a10 10 0 0 1 .891-.857' }],\n ['path', { d: 'M8.644 21.42a10 10 0 0 0 7.631-.38' }],\n ],\n];\n\nexport default CircleFadingPlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-gauge\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-gauge\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleGauge: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15.6 2.7a10 10 0 1 0 5.7 5.7' }],\n ['circle', { cx: '12', cy: '12', r: '2' }],\n ['path', { d: 'M13.4 10.6 19 5' }],\n ],\n];\n\nexport default CircleGauge;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-help\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-help\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleHelp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M9.09 9a3 3 0 0 1 5.83 1c0 2-3 3-3 3' }],\n ['path', { d: 'M12 17h.01' }],\n ],\n];\n\nexport default CircleHelp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M8 12h8' }],\n ],\n];\n\nexport default CircleMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm2 2 20 20' }],\n ['path', { d: 'M8.35 2.69A10 10 0 0 1 21.3 15.65' }],\n ['path', { d: 'M19.08 19.08A10 10 0 1 1 4.92 4.92' }],\n ],\n];\n\nexport default CircleOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-parking-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-parking-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleParkingOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'm5 5 14 14' }],\n ['path', { d: 'M13 13a3 3 0 1 0 0-6H9v2' }],\n ['path', { d: 'M9 17v-2.34' }],\n ],\n];\n\nexport default CircleParkingOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-parking\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-parking\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleParking: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M9 17V7h4a3 3 0 0 1 0 6H9' }],\n ],\n];\n\nexport default CircleParking;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-pause\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-pause\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CirclePause: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['line', { x1: '10', x2: '10', y1: '15', y2: '9' }],\n ['line', { x1: '14', x2: '14', y1: '15', y2: '9' }],\n ],\n];\n\nexport default CirclePause;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-percent\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-percent\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CirclePercent: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'm15 9-6 6' }],\n ['path', { d: 'M9 9h.01' }],\n ['path', { d: 'M15 15h.01' }],\n ],\n];\n\nexport default CirclePercent;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-play\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-play\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CirclePlay: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['polygon', { points: '10 8 16 12 10 16 10 8' }],\n ],\n];\n\nexport default CirclePlay;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CirclePlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M8 12h8' }],\n ['path', { d: 'M12 8v8' }],\n ],\n];\n\nexport default CirclePlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-power\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-power\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CirclePower: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 7v4' }],\n ['path', { d: 'M7.998 9.003a5 5 0 1 0 8-.005' }],\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ],\n];\n\nexport default CirclePower;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-slash-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-slash-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleSlash2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M22 2 2 22' }],\n ],\n];\n\nexport default CircleSlash2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-slash\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-slash\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleSlash: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['line', { x1: '9', x2: '15', y1: '15', y2: '9' }],\n ],\n];\n\nexport default CircleSlash;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-stop\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-stop\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleStop: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['rect', { width: '6', height: '6', x: '9', y: '9' }],\n ],\n];\n\nexport default CircleStop;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-user-round\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-user-round\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleUserRound: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18 20a6 6 0 0 0-12 0' }],\n ['circle', { cx: '12', cy: '10', r: '4' }],\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ],\n];\n\nexport default CircleUserRound;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-user\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-user\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleUser: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['circle', { cx: '12', cy: '10', r: '3' }],\n ['path', { d: 'M7 20.662V19a2 2 0 0 1 2-2h6a2 2 0 0 1 2 2v1.662' }],\n ],\n];\n\nexport default CircleUser;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircleX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'm15 9-6 6' }],\n ['path', { d: 'm9 9 6 6' }],\n ],\n];\n\nexport default CircleX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circle\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circle\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Circle: IconNode = ['svg', defaultAttributes, [['circle', { cx: '12', cy: '12', r: '10' }]]];\n\nexport default Circle;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name circuit-board\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/circuit-board\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CircuitBoard: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M11 9h4a2 2 0 0 0 2-2V3' }],\n ['circle', { cx: '9', cy: '9', r: '2' }],\n ['path', { d: 'M7 21v-4a2 2 0 0 1 2-2h4' }],\n ['circle', { cx: '15', cy: '15', r: '2' }],\n ],\n];\n\nexport default CircuitBoard;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name citrus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/citrus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Citrus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n { d: 'M21.66 17.67a1.08 1.08 0 0 1-.04 1.6A12 12 0 0 1 4.73 2.38a1.1 1.1 0 0 1 1.61-.04z' },\n ],\n ['path', { d: 'M19.65 15.66A8 8 0 0 1 8.35 4.34' }],\n ['path', { d: 'm14 10-5.5 5.5' }],\n ['path', { d: 'M14 17.85V10H6.15' }],\n ],\n];\n\nexport default Citrus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clapperboard\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clapperboard\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Clapperboard: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M20.2 6 3 11l-.9-2.4c-.3-1.1.3-2.2 1.3-2.5l13.5-4c1.1-.3 2.2.3 2.5 1.3Z' }],\n ['path', { d: 'm6.2 5.3 3.1 3.9' }],\n ['path', { d: 'm12.4 3.4 3.1 4' }],\n ['path', { d: 'M3 11h18v8a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2Z' }],\n ],\n];\n\nexport default Clapperboard;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clipboard-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clipboard-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ClipboardCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '8', height: '4', x: '8', y: '2', rx: '1', ry: '1' }],\n ['path', { d: 'M16 4h2a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2H6a2 2 0 0 1-2-2V6a2 2 0 0 1 2-2h2' }],\n ['path', { d: 'm9 14 2 2 4-4' }],\n ],\n];\n\nexport default ClipboardCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clipboard-copy\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clipboard-copy\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ClipboardCopy: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '8', height: '4', x: '8', y: '2', rx: '1', ry: '1' }],\n ['path', { d: 'M8 4H6a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2v-2' }],\n ['path', { d: 'M16 4h2a2 2 0 0 1 2 2v4' }],\n ['path', { d: 'M21 14H11' }],\n ['path', { d: 'm15 10-4 4 4 4' }],\n ],\n];\n\nexport default ClipboardCopy;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clipboard-list\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clipboard-list\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ClipboardList: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '8', height: '4', x: '8', y: '2', rx: '1', ry: '1' }],\n ['path', { d: 'M16 4h2a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2H6a2 2 0 0 1-2-2V6a2 2 0 0 1 2-2h2' }],\n ['path', { d: 'M12 11h4' }],\n ['path', { d: 'M12 16h4' }],\n ['path', { d: 'M8 11h.01' }],\n ['path', { d: 'M8 16h.01' }],\n ],\n];\n\nexport default ClipboardList;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clipboard-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clipboard-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ClipboardMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '8', height: '4', x: '8', y: '2', rx: '1', ry: '1' }],\n ['path', { d: 'M16 4h2a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2H6a2 2 0 0 1-2-2V6a2 2 0 0 1 2-2h2' }],\n ['path', { d: 'M9 14h6' }],\n ],\n];\n\nexport default ClipboardMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clipboard-paste\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clipboard-paste\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ClipboardPaste: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H9a1 1 0 0 0-1 1v2c0 .6.4 1 1 1h6c.6 0 1-.4 1-1V3c0-.6-.4-1-1-1Z' }],\n [\n 'path',\n {\n d: 'M8 4H6a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2M16 4h2a2 2 0 0 1 2 2v2M11 14h10',\n },\n ],\n ['path', { d: 'm17 10 4 4-4 4' }],\n ],\n];\n\nexport default ClipboardPaste;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clipboard-pen-line\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clipboard-pen-line\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ClipboardPenLine: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '8', height: '4', x: '8', y: '2', rx: '1' }],\n ['path', { d: 'M8 4H6a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2v-.5' }],\n ['path', { d: 'M16 4h2a2 2 0 0 1 1.73 1' }],\n ['path', { d: 'M8 18h1' }],\n [\n 'path',\n {\n d: 'M21.378 12.626a1 1 0 0 0-3.004-3.004l-4.01 4.012a2 2 0 0 0-.506.854l-.837 2.87a.5.5 0 0 0 .62.62l2.87-.837a2 2 0 0 0 .854-.506z',\n },\n ],\n ],\n];\n\nexport default ClipboardPenLine;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clipboard-pen\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clipboard-pen\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ClipboardPen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '8', height: '4', x: '8', y: '2', rx: '1' }],\n ['path', { d: 'M16 4h2a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2h-5.5' }],\n ['path', { d: 'M4 13.5V6a2 2 0 0 1 2-2h2' }],\n [\n 'path',\n {\n d: 'M13.378 15.626a1 1 0 1 0-3.004-3.004l-5.01 5.012a2 2 0 0 0-.506.854l-.837 2.87a.5.5 0 0 0 .62.62l2.87-.837a2 2 0 0 0 .854-.506z',\n },\n ],\n ],\n];\n\nexport default ClipboardPen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clipboard-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clipboard-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ClipboardPlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '8', height: '4', x: '8', y: '2', rx: '1', ry: '1' }],\n ['path', { d: 'M16 4h2a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2H6a2 2 0 0 1-2-2V6a2 2 0 0 1 2-2h2' }],\n ['path', { d: 'M9 14h6' }],\n ['path', { d: 'M12 17v-6' }],\n ],\n];\n\nexport default ClipboardPlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clipboard-type\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clipboard-type\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ClipboardType: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '8', height: '4', x: '8', y: '2', rx: '1', ry: '1' }],\n ['path', { d: 'M16 4h2a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2H6a2 2 0 0 1-2-2V6a2 2 0 0 1 2-2h2' }],\n ['path', { d: 'M9 12v-1h6v1' }],\n ['path', { d: 'M11 17h2' }],\n ['path', { d: 'M12 11v6' }],\n ],\n];\n\nexport default ClipboardType;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clipboard-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clipboard-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ClipboardX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '8', height: '4', x: '8', y: '2', rx: '1', ry: '1' }],\n ['path', { d: 'M16 4h2a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2H6a2 2 0 0 1-2-2V6a2 2 0 0 1 2-2h2' }],\n ['path', { d: 'm15 11-6 6' }],\n ['path', { d: 'm9 11 6 6' }],\n ],\n];\n\nexport default ClipboardX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clipboard\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clipboard\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Clipboard: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '8', height: '4', x: '8', y: '2', rx: '1', ry: '1' }],\n ['path', { d: 'M16 4h2a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2H6a2 2 0 0 1-2-2V6a2 2 0 0 1 2-2h2' }],\n ],\n];\n\nexport default Clipboard;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clock-1\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clock-1\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Clock1: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['polyline', { points: '12 6 12 12 14.5 8' }],\n ],\n];\n\nexport default Clock1;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clock-10\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clock-10\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Clock10: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['polyline', { points: '12 6 12 12 8 10' }],\n ],\n];\n\nexport default Clock10;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clock-11\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clock-11\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Clock11: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['polyline', { points: '12 6 12 12 9.5 8' }],\n ],\n];\n\nexport default Clock11;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clock-12\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clock-12\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Clock12: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['polyline', { points: '12 6 12 12' }],\n ],\n];\n\nexport default Clock12;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clock-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clock-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Clock2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['polyline', { points: '12 6 12 12 16 10' }],\n ],\n];\n\nexport default Clock2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clock-3\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clock-3\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Clock3: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['polyline', { points: '12 6 12 12 16.5 12' }],\n ],\n];\n\nexport default Clock3;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clock-4\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clock-4\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Clock4: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['polyline', { points: '12 6 12 12 16 14' }],\n ],\n];\n\nexport default Clock4;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clock-5\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clock-5\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Clock5: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['polyline', { points: '12 6 12 12 14.5 16' }],\n ],\n];\n\nexport default Clock5;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clock-6\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clock-6\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Clock6: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['polyline', { points: '12 6 12 12 12 16.5' }],\n ],\n];\n\nexport default Clock6;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clock-7\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clock-7\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Clock7: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['polyline', { points: '12 6 12 12 9.5 16' }],\n ],\n];\n\nexport default Clock7;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clock-8\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clock-8\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Clock8: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['polyline', { points: '12 6 12 12 8 14' }],\n ],\n];\n\nexport default Clock8;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clock-9\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clock-9\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Clock9: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['polyline', { points: '12 6 12 12 7.5 12' }],\n ],\n];\n\nexport default Clock9;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clock-arrow-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clock-arrow-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ClockArrowDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12.338 21.994A10 10 0 1 1 21.925 13.227' }],\n ['path', { d: 'M12 6v6l2 1' }],\n ['path', { d: 'm14 18 4 4 4-4' }],\n ['path', { d: 'M18 14v8' }],\n ],\n];\n\nexport default ClockArrowDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clock-arrow-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clock-arrow-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ClockArrowUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13.228 21.925A10 10 0 1 1 21.994 12.338' }],\n ['path', { d: 'M12 6v6l1.562.781' }],\n ['path', { d: 'm14 18 4-4 4 4' }],\n ['path', { d: 'M18 22v-8' }],\n ],\n];\n\nexport default ClockArrowUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clock\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clock\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Clock: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['polyline', { points: '12 6 12 12 16 14' }],\n ],\n];\n\nexport default Clock;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cloud-cog\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cloud-cog\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CloudCog: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '17', r: '3' }],\n ['path', { d: 'M4.2 15.1A7 7 0 1 1 15.71 8h1.79a4.5 4.5 0 0 1 2.5 8.2' }],\n ['path', { d: 'm15.7 18.4-.9-.3' }],\n ['path', { d: 'm9.2 15.9-.9-.3' }],\n ['path', { d: 'm10.6 20.7.3-.9' }],\n ['path', { d: 'm13.1 14.2.3-.9' }],\n ['path', { d: 'm13.6 20.7-.4-1' }],\n ['path', { d: 'm10.8 14.3-.4-1' }],\n ['path', { d: 'm8.3 18.6 1-.4' }],\n ['path', { d: 'm14.7 15.8 1-.4' }],\n ],\n];\n\nexport default CloudCog;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cloud-download\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cloud-download\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CloudDownload: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 14.899A7 7 0 1 1 15.71 8h1.79a4.5 4.5 0 0 1 2.5 8.242' }],\n ['path', { d: 'M12 12v9' }],\n ['path', { d: 'm8 17 4 4 4-4' }],\n ],\n];\n\nexport default CloudDownload;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cloud-drizzle\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cloud-drizzle\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CloudDrizzle: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 14.899A7 7 0 1 1 15.71 8h1.79a4.5 4.5 0 0 1 2.5 8.242' }],\n ['path', { d: 'M8 19v1' }],\n ['path', { d: 'M8 14v1' }],\n ['path', { d: 'M16 19v1' }],\n ['path', { d: 'M16 14v1' }],\n ['path', { d: 'M12 21v1' }],\n ['path', { d: 'M12 16v1' }],\n ],\n];\n\nexport default CloudDrizzle;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cloud-fog\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cloud-fog\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CloudFog: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 14.899A7 7 0 1 1 15.71 8h1.79a4.5 4.5 0 0 1 2.5 8.242' }],\n ['path', { d: 'M16 17H7' }],\n ['path', { d: 'M17 21H9' }],\n ],\n];\n\nexport default CloudFog;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cloud-hail\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cloud-hail\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CloudHail: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 14.899A7 7 0 1 1 15.71 8h1.79a4.5 4.5 0 0 1 2.5 8.242' }],\n ['path', { d: 'M16 14v2' }],\n ['path', { d: 'M8 14v2' }],\n ['path', { d: 'M16 20h.01' }],\n ['path', { d: 'M8 20h.01' }],\n ['path', { d: 'M12 16v2' }],\n ['path', { d: 'M12 22h.01' }],\n ],\n];\n\nexport default CloudHail;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cloud-lightning\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cloud-lightning\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CloudLightning: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 16.326A7 7 0 1 1 15.71 8h1.79a4.5 4.5 0 0 1 .5 8.973' }],\n ['path', { d: 'm13 12-3 5h4l-3 5' }],\n ],\n];\n\nexport default CloudLightning;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cloud-moon-rain\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cloud-moon-rain\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CloudMoonRain: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10.188 8.5A6 6 0 0 1 16 4a1 1 0 0 0 6 6 6 6 0 0 1-3 5.197' }],\n ['path', { d: 'M11 20v2' }],\n ['path', { d: 'M3 20a5 5 0 1 1 8.9-4H13a3 3 0 0 1 2 5.24' }],\n ['path', { d: 'M7 19v2' }],\n ],\n];\n\nexport default CloudMoonRain;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cloud-moon\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cloud-moon\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CloudMoon: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10.188 8.5A6 6 0 0 1 16 4a1 1 0 0 0 6 6 6 6 0 0 1-3 5.197' }],\n ['path', { d: 'M13 16a3 3 0 1 1 0 6H7a5 5 0 1 1 4.9-6Z' }],\n ],\n];\n\nexport default CloudMoon;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cloud-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cloud-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CloudOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm2 2 20 20' }],\n ['path', { d: 'M5.782 5.782A7 7 0 0 0 9 19h8.5a4.5 4.5 0 0 0 1.307-.193' }],\n ['path', { d: 'M21.532 16.5A4.5 4.5 0 0 0 17.5 10h-1.79A7.008 7.008 0 0 0 10 5.07' }],\n ],\n];\n\nexport default CloudOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cloud-rain-wind\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cloud-rain-wind\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CloudRainWind: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 14.899A7 7 0 1 1 15.71 8h1.79a4.5 4.5 0 0 1 2.5 8.242' }],\n ['path', { d: 'm9.2 22 3-7' }],\n ['path', { d: 'm9 13-3 7' }],\n ['path', { d: 'm17 13-3 7' }],\n ],\n];\n\nexport default CloudRainWind;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cloud-rain\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cloud-rain\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CloudRain: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 14.899A7 7 0 1 1 15.71 8h1.79a4.5 4.5 0 0 1 2.5 8.242' }],\n ['path', { d: 'M16 14v6' }],\n ['path', { d: 'M8 14v6' }],\n ['path', { d: 'M12 16v6' }],\n ],\n];\n\nexport default CloudRain;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cloud-snow\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cloud-snow\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CloudSnow: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 14.899A7 7 0 1 1 15.71 8h1.79a4.5 4.5 0 0 1 2.5 8.242' }],\n ['path', { d: 'M8 15h.01' }],\n ['path', { d: 'M8 19h.01' }],\n ['path', { d: 'M12 17h.01' }],\n ['path', { d: 'M12 21h.01' }],\n ['path', { d: 'M16 15h.01' }],\n ['path', { d: 'M16 19h.01' }],\n ],\n];\n\nexport default CloudSnow;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cloud-sun-rain\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cloud-sun-rain\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CloudSunRain: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 2v2' }],\n ['path', { d: 'm4.93 4.93 1.41 1.41' }],\n ['path', { d: 'M20 12h2' }],\n ['path', { d: 'm19.07 4.93-1.41 1.41' }],\n ['path', { d: 'M15.947 12.65a4 4 0 0 0-5.925-4.128' }],\n ['path', { d: 'M3 20a5 5 0 1 1 8.9-4H13a3 3 0 0 1 2 5.24' }],\n ['path', { d: 'M11 20v2' }],\n ['path', { d: 'M7 19v2' }],\n ],\n];\n\nexport default CloudSunRain;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cloud-sun\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cloud-sun\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CloudSun: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 2v2' }],\n ['path', { d: 'm4.93 4.93 1.41 1.41' }],\n ['path', { d: 'M20 12h2' }],\n ['path', { d: 'm19.07 4.93-1.41 1.41' }],\n ['path', { d: 'M15.947 12.65a4 4 0 0 0-5.925-4.128' }],\n ['path', { d: 'M13 22H7a5 5 0 1 1 4.9-6H13a3 3 0 0 1 0 6Z' }],\n ],\n];\n\nexport default CloudSun;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cloud-upload\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cloud-upload\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CloudUpload: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 14.899A7 7 0 1 1 15.71 8h1.79a4.5 4.5 0 0 1 2.5 8.242' }],\n ['path', { d: 'M12 12v9' }],\n ['path', { d: 'm16 16-4-4-4 4' }],\n ],\n];\n\nexport default CloudUpload;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cloud\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cloud\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Cloud: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M17.5 19H9a7 7 0 1 1 6.71-9h1.79a4.5 4.5 0 1 1 0 9Z' }]],\n];\n\nexport default Cloud;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cloudy\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cloudy\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Cloudy: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M17.5 21H9a7 7 0 1 1 6.71-9h1.79a4.5 4.5 0 1 1 0 9Z' }],\n ['path', { d: 'M22 10a3 3 0 0 0-3-3h-2.207a5.502 5.502 0 0 0-10.702.5' }],\n ],\n];\n\nexport default Cloudy;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name clover\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/clover\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Clover: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16.17 7.83 2 22' }],\n [\n 'path',\n {\n d: 'M4.02 12a2.827 2.827 0 1 1 3.81-4.17A2.827 2.827 0 1 1 12 4.02a2.827 2.827 0 1 1 4.17 3.81A2.827 2.827 0 1 1 19.98 12a2.827 2.827 0 1 1-3.81 4.17A2.827 2.827 0 1 1 12 19.98a2.827 2.827 0 1 1-4.17-3.81A1 1 0 1 1 4 12',\n },\n ],\n ['path', { d: 'm7.83 7.83 8.34 8.34' }],\n ],\n];\n\nexport default Clover;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name club\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/club\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Club: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n { d: 'M17.28 9.05a5.5 5.5 0 1 0-10.56 0A5.5 5.5 0 1 0 12 17.66a5.5 5.5 0 1 0 5.28-8.6Z' },\n ],\n ['path', { d: 'M12 17.66L12 22' }],\n ],\n];\n\nexport default Club;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name code-xml\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/code-xml\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CodeXml: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm18 16 4-4-4-4' }],\n ['path', { d: 'm6 8-4 4 4 4' }],\n ['path', { d: 'm14.5 4-5 16' }],\n ],\n];\n\nexport default CodeXml;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name code\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/code\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Code: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '16 18 22 12 16 6' }],\n ['polyline', { points: '8 6 2 12 8 18' }],\n ],\n];\n\nexport default Code;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name codepen\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/codepen\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n * @deprecated Brand icons have been deprecated and are due to be removed, please refer to https://github.com/lucide-icons/lucide/issues/670. We recommend using https://simpleicons.org/?q=codepen instead. This icon will be removed in v1.0\n */\nconst Codepen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polygon', { points: '12 2 22 8.5 22 15.5 12 22 2 15.5 2 8.5 12 2' }],\n ['line', { x1: '12', x2: '12', y1: '22', y2: '15.5' }],\n ['polyline', { points: '22 8.5 12 15.5 2 8.5' }],\n ['polyline', { points: '2 15.5 12 8.5 22 15.5' }],\n ['line', { x1: '12', x2: '12', y1: '2', y2: '8.5' }],\n ],\n];\n\nexport default Codepen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name codesandbox\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/codesandbox\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n * @deprecated Brand icons have been deprecated and are due to be removed, please refer to https://github.com/lucide-icons/lucide/issues/670. We recommend using https://simpleicons.org/?q=codesandbox instead. This icon will be removed in v1.0\n */\nconst Codesandbox: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M21 16V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16z',\n },\n ],\n ['polyline', { points: '7.5 4.21 12 6.81 16.5 4.21' }],\n ['polyline', { points: '7.5 19.79 7.5 14.6 3 12' }],\n ['polyline', { points: '21 12 16.5 14.6 16.5 19.79' }],\n ['polyline', { points: '3.27 6.96 12 12.01 20.73 6.96' }],\n ['line', { x1: '12', x2: '12', y1: '22.08', y2: '12' }],\n ],\n];\n\nexport default Codesandbox;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name coffee\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/coffee\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Coffee: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 2v2' }],\n ['path', { d: 'M14 2v2' }],\n [\n 'path',\n {\n d: 'M16 8a1 1 0 0 1 1 1v8a4 4 0 0 1-4 4H7a4 4 0 0 1-4-4V9a1 1 0 0 1 1-1h14a4 4 0 1 1 0 8h-1',\n },\n ],\n ['path', { d: 'M6 2v2' }],\n ],\n];\n\nexport default Coffee;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cog\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cog\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Cog: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 20a8 8 0 1 0 0-16 8 8 0 0 0 0 16Z' }],\n ['path', { d: 'M12 14a2 2 0 1 0 0-4 2 2 0 0 0 0 4Z' }],\n ['path', { d: 'M12 2v2' }],\n ['path', { d: 'M12 22v-2' }],\n ['path', { d: 'm17 20.66-1-1.73' }],\n ['path', { d: 'M11 10.27 7 3.34' }],\n ['path', { d: 'm20.66 17-1.73-1' }],\n ['path', { d: 'm3.34 7 1.73 1' }],\n ['path', { d: 'M14 12h8' }],\n ['path', { d: 'M2 12h2' }],\n ['path', { d: 'm20.66 7-1.73 1' }],\n ['path', { d: 'm3.34 17 1.73-1' }],\n ['path', { d: 'm17 3.34-1 1.73' }],\n ['path', { d: 'm11 13.73-4 6.93' }],\n ],\n];\n\nexport default Cog;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name coins\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/coins\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Coins: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '8', cy: '8', r: '6' }],\n ['path', { d: 'M18.09 10.37A6 6 0 1 1 10.34 18' }],\n ['path', { d: 'M7 6h1v4' }],\n ['path', { d: 'm16.71 13.88.7.71-2.82 2.82' }],\n ],\n];\n\nexport default Coins;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name columns-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/columns-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Columns2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M12 3v18' }],\n ],\n];\n\nexport default Columns2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name columns-3\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/columns-3\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Columns3: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M9 3v18' }],\n ['path', { d: 'M15 3v18' }],\n ],\n];\n\nexport default Columns3;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name columns-4\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/columns-4\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Columns4: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M7.5 3v18' }],\n ['path', { d: 'M12 3v18' }],\n ['path', { d: 'M16.5 3v18' }],\n ],\n];\n\nexport default Columns4;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name combine\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/combine\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Combine: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '8', height: '8', x: '2', y: '2', rx: '2' }],\n ['path', { d: 'M14 2c1.1 0 2 .9 2 2v4c0 1.1-.9 2-2 2' }],\n ['path', { d: 'M20 2c1.1 0 2 .9 2 2v4c0 1.1-.9 2-2 2' }],\n ['path', { d: 'M10 18H5c-1.7 0-3-1.3-3-3v-1' }],\n ['polyline', { points: '7 21 10 18 7 15' }],\n ['rect', { width: '8', height: '8', x: '14', y: '14', rx: '2' }],\n ],\n];\n\nexport default Combine;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name command\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/command\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Command: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M15 6v12a3 3 0 1 0 3-3H6a3 3 0 1 0 3 3V6a3 3 0 1 0-3 3h12a3 3 0 1 0-3-3' }]],\n];\n\nexport default Command;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name compass\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/compass\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Compass: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm16.24 7.76-1.804 5.411a2 2 0 0 1-1.265 1.265L7.76 16.24l1.804-5.411a2 2 0 0 1 1.265-1.265z',\n },\n ],\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ],\n];\n\nexport default Compass;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name component\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/component\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Component: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5.5 8.5 9 12l-3.5 3.5L2 12l3.5-3.5Z' }],\n ['path', { d: 'm12 2 3.5 3.5L12 9 8.5 5.5 12 2Z' }],\n ['path', { d: 'M18.5 8.5 22 12l-3.5 3.5L15 12l3.5-3.5Z' }],\n ['path', { d: 'm12 15 3.5 3.5L12 22l-3.5-3.5L12 15Z' }],\n ],\n];\n\nexport default Component;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name computer\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/computer\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Computer: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '14', height: '8', x: '5', y: '2', rx: '2' }],\n ['rect', { width: '20', height: '8', x: '2', y: '14', rx: '2' }],\n ['path', { d: 'M6 18h2' }],\n ['path', { d: 'M12 18h6' }],\n ],\n];\n\nexport default Computer;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name concierge-bell\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/concierge-bell\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ConciergeBell: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 20a1 1 0 0 1-1-1v-1a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2v1a1 1 0 0 1-1 1Z' }],\n ['path', { d: 'M20 16a8 8 0 1 0-16 0' }],\n ['path', { d: 'M12 4v4' }],\n ['path', { d: 'M10 4h4' }],\n ],\n];\n\nexport default ConciergeBell;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cone\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cone\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Cone: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm20.9 18.55-8-15.98a1 1 0 0 0-1.8 0l-8 15.98' }],\n ['ellipse', { cx: '12', cy: '19', rx: '9', ry: '3' }],\n ],\n];\n\nexport default Cone;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name construction\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/construction\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Construction: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { x: '2', y: '6', width: '20', height: '8', rx: '1' }],\n ['path', { d: 'M17 14v7' }],\n ['path', { d: 'M7 14v7' }],\n ['path', { d: 'M17 3v3' }],\n ['path', { d: 'M7 3v3' }],\n ['path', { d: 'M10 14 2.3 6.3' }],\n ['path', { d: 'm14 6 7.7 7.7' }],\n ['path', { d: 'm8 6 8 8' }],\n ],\n];\n\nexport default Construction;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name contact-round\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/contact-round\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ContactRound: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 18a4 4 0 0 0-8 0' }],\n ['circle', { cx: '12', cy: '11', r: '3' }],\n ['rect', { width: '18', height: '18', x: '3', y: '4', rx: '2' }],\n ['line', { x1: '8', x2: '8', y1: '2', y2: '4' }],\n ['line', { x1: '16', x2: '16', y1: '2', y2: '4' }],\n ],\n];\n\nexport default ContactRound;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name contact\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/contact\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Contact: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M17 18a2 2 0 0 0-2-2H9a2 2 0 0 0-2 2' }],\n ['rect', { width: '18', height: '18', x: '3', y: '4', rx: '2' }],\n ['circle', { cx: '12', cy: '10', r: '2' }],\n ['line', { x1: '8', x2: '8', y1: '2', y2: '4' }],\n ['line', { x1: '16', x2: '16', y1: '2', y2: '4' }],\n ],\n];\n\nexport default Contact;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name container\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/container\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Container: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M22 7.7c0-.6-.4-1.2-.8-1.5l-6.3-3.9a1.72 1.72 0 0 0-1.7 0l-10.3 6c-.5.2-.9.8-.9 1.4v6.6c0 .5.4 1.2.8 1.5l6.3 3.9a1.72 1.72 0 0 0 1.7 0l10.3-6c.5-.3.9-1 .9-1.5Z',\n },\n ],\n ['path', { d: 'M10 21.9V14L2.1 9.1' }],\n ['path', { d: 'm10 14 11.9-6.9' }],\n ['path', { d: 'M14 19.8v-8.1' }],\n ['path', { d: 'M18 17.5V9.4' }],\n ],\n];\n\nexport default Container;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name contrast\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/contrast\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Contrast: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M12 18a6 6 0 0 0 0-12v12z' }],\n ],\n];\n\nexport default Contrast;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cookie\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cookie\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Cookie: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 2a10 10 0 1 0 10 10 4 4 0 0 1-5-5 4 4 0 0 1-5-5' }],\n ['path', { d: 'M8.5 8.5v.01' }],\n ['path', { d: 'M16 15.5v.01' }],\n ['path', { d: 'M12 12v.01' }],\n ['path', { d: 'M11 17v.01' }],\n ['path', { d: 'M7 14v.01' }],\n ],\n];\n\nexport default Cookie;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cooking-pot\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cooking-pot\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CookingPot: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 12h20' }],\n ['path', { d: 'M20 12v8a2 2 0 0 1-2 2H6a2 2 0 0 1-2-2v-8' }],\n ['path', { d: 'm4 8 16-4' }],\n ['path', { d: 'm8.86 6.78-.45-1.81a2 2 0 0 1 1.45-2.43l1.94-.48a2 2 0 0 1 2.43 1.46l.45 1.8' }],\n ],\n];\n\nexport default CookingPot;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name copy-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/copy-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CopyCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm12 15 2 2 4-4' }],\n ['rect', { width: '14', height: '14', x: '8', y: '8', rx: '2', ry: '2' }],\n ['path', { d: 'M4 16c-1.1 0-2-.9-2-2V4c0-1.1.9-2 2-2h10c1.1 0 2 .9 2 2' }],\n ],\n];\n\nexport default CopyCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name copy-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/copy-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CopyMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '12', x2: '18', y1: '15', y2: '15' }],\n ['rect', { width: '14', height: '14', x: '8', y: '8', rx: '2', ry: '2' }],\n ['path', { d: 'M4 16c-1.1 0-2-.9-2-2V4c0-1.1.9-2 2-2h10c1.1 0 2 .9 2 2' }],\n ],\n];\n\nexport default CopyMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name copy-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/copy-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CopyPlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '15', x2: '15', y1: '12', y2: '18' }],\n ['line', { x1: '12', x2: '18', y1: '15', y2: '15' }],\n ['rect', { width: '14', height: '14', x: '8', y: '8', rx: '2', ry: '2' }],\n ['path', { d: 'M4 16c-1.1 0-2-.9-2-2V4c0-1.1.9-2 2-2h10c1.1 0 2 .9 2 2' }],\n ],\n];\n\nexport default CopyPlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name copy-slash\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/copy-slash\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CopySlash: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '12', x2: '18', y1: '18', y2: '12' }],\n ['rect', { width: '14', height: '14', x: '8', y: '8', rx: '2', ry: '2' }],\n ['path', { d: 'M4 16c-1.1 0-2-.9-2-2V4c0-1.1.9-2 2-2h10c1.1 0 2 .9 2 2' }],\n ],\n];\n\nexport default CopySlash;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name copy-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/copy-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CopyX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '12', x2: '18', y1: '12', y2: '18' }],\n ['line', { x1: '12', x2: '18', y1: '18', y2: '12' }],\n ['rect', { width: '14', height: '14', x: '8', y: '8', rx: '2', ry: '2' }],\n ['path', { d: 'M4 16c-1.1 0-2-.9-2-2V4c0-1.1.9-2 2-2h10c1.1 0 2 .9 2 2' }],\n ],\n];\n\nexport default CopyX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name copy\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/copy\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Copy: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '14', height: '14', x: '8', y: '8', rx: '2', ry: '2' }],\n ['path', { d: 'M4 16c-1.1 0-2-.9-2-2V4c0-1.1.9-2 2-2h10c1.1 0 2 .9 2 2' }],\n ],\n];\n\nexport default Copy;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name copyleft\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/copyleft\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Copyleft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M9.17 14.83a4 4 0 1 0 0-5.66' }],\n ],\n];\n\nexport default Copyleft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name copyright\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/copyright\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Copyright: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M14.83 14.83a4 4 0 1 1 0-5.66' }],\n ],\n];\n\nexport default Copyright;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name corner-down-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/corner-down-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CornerDownLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '9 10 4 15 9 20' }],\n ['path', { d: 'M20 4v7a4 4 0 0 1-4 4H4' }],\n ],\n];\n\nexport default CornerDownLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name corner-down-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/corner-down-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CornerDownRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '15 10 20 15 15 20' }],\n ['path', { d: 'M4 4v7a4 4 0 0 0 4 4h12' }],\n ],\n];\n\nexport default CornerDownRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name corner-left-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/corner-left-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CornerLeftDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '14 15 9 20 4 15' }],\n ['path', { d: 'M20 4h-7a4 4 0 0 0-4 4v12' }],\n ],\n];\n\nexport default CornerLeftDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name corner-left-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/corner-left-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CornerLeftUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '14 9 9 4 4 9' }],\n ['path', { d: 'M20 20h-7a4 4 0 0 1-4-4V4' }],\n ],\n];\n\nexport default CornerLeftUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name corner-right-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/corner-right-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CornerRightDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '10 15 15 20 20 15' }],\n ['path', { d: 'M4 4h7a4 4 0 0 1 4 4v12' }],\n ],\n];\n\nexport default CornerRightDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name corner-right-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/corner-right-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CornerRightUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '10 9 15 4 20 9' }],\n ['path', { d: 'M4 20h7a4 4 0 0 0 4-4V4' }],\n ],\n];\n\nexport default CornerRightUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name corner-up-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/corner-up-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CornerUpLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '9 14 4 9 9 4' }],\n ['path', { d: 'M20 20v-7a4 4 0 0 0-4-4H4' }],\n ],\n];\n\nexport default CornerUpLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name corner-up-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/corner-up-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CornerUpRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '15 14 20 9 15 4' }],\n ['path', { d: 'M4 20v-7a4 4 0 0 1 4-4h12' }],\n ],\n];\n\nexport default CornerUpRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cpu\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cpu\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Cpu: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '16', height: '16', x: '4', y: '4', rx: '2' }],\n ['rect', { width: '6', height: '6', x: '9', y: '9', rx: '1' }],\n ['path', { d: 'M15 2v2' }],\n ['path', { d: 'M15 20v2' }],\n ['path', { d: 'M2 15h2' }],\n ['path', { d: 'M2 9h2' }],\n ['path', { d: 'M20 15h2' }],\n ['path', { d: 'M20 9h2' }],\n ['path', { d: 'M9 2v2' }],\n ['path', { d: 'M9 20v2' }],\n ],\n];\n\nexport default Cpu;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name creative-commons\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/creative-commons\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CreativeCommons: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M10 9.3a2.8 2.8 0 0 0-3.5 1 3.1 3.1 0 0 0 0 3.4 2.7 2.7 0 0 0 3.5 1' }],\n ['path', { d: 'M17 9.3a2.8 2.8 0 0 0-3.5 1 3.1 3.1 0 0 0 0 3.4 2.7 2.7 0 0 0 3.5 1' }],\n ],\n];\n\nexport default CreativeCommons;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name credit-card\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/credit-card\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CreditCard: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '14', x: '2', y: '5', rx: '2' }],\n ['line', { x1: '2', x2: '22', y1: '10', y2: '10' }],\n ],\n];\n\nexport default CreditCard;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name croissant\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/croissant\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Croissant: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm4.6 13.11 5.79-3.21c1.89-1.05 4.79 1.78 3.71 3.71l-3.22 5.81C8.8 23.16.79 15.23 4.6 13.11Z',\n },\n ],\n [\n 'path',\n { d: 'm10.5 9.5-1-2.29C9.2 6.48 8.8 6 8 6H4.5C2.79 6 2 6.5 2 8.5a7.71 7.71 0 0 0 2 4.83' },\n ],\n ['path', { d: 'M8 6c0-1.55.24-4-2-4-2 0-2.5 2.17-2.5 4' }],\n [\n 'path',\n {\n d: 'm14.5 13.5 2.29 1c.73.3 1.21.7 1.21 1.5v3.5c0 1.71-.5 2.5-2.5 2.5a7.71 7.71 0 0 1-4.83-2',\n },\n ],\n ['path', { d: 'M18 16c1.55 0 4-.24 4 2 0 2-2.17 2.5-4 2.5' }],\n ],\n];\n\nexport default Croissant;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name crop\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/crop\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Crop: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 2v14a2 2 0 0 0 2 2h14' }],\n ['path', { d: 'M18 22V8a2 2 0 0 0-2-2H2' }],\n ],\n];\n\nexport default Crop;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cross\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cross\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Cross: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M11 2a2 2 0 0 0-2 2v5H4a2 2 0 0 0-2 2v2c0 1.1.9 2 2 2h5v5c0 1.1.9 2 2 2h2a2 2 0 0 0 2-2v-5h5a2 2 0 0 0 2-2v-2a2 2 0 0 0-2-2h-5V4a2 2 0 0 0-2-2h-2z',\n },\n ],\n ],\n];\n\nexport default Cross;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name crosshair\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/crosshair\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Crosshair: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['line', { x1: '22', x2: '18', y1: '12', y2: '12' }],\n ['line', { x1: '6', x2: '2', y1: '12', y2: '12' }],\n ['line', { x1: '12', x2: '12', y1: '6', y2: '2' }],\n ['line', { x1: '12', x2: '12', y1: '22', y2: '18' }],\n ],\n];\n\nexport default Crosshair;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name crown\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/crown\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Crown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M11.562 3.266a.5.5 0 0 1 .876 0L15.39 8.87a1 1 0 0 0 1.516.294L21.183 5.5a.5.5 0 0 1 .798.519l-2.834 10.246a1 1 0 0 1-.956.734H5.81a1 1 0 0 1-.957-.734L2.02 6.02a.5.5 0 0 1 .798-.519l4.276 3.664a1 1 0 0 0 1.516-.294z',\n },\n ],\n ['path', { d: 'M5 21h14' }],\n ],\n];\n\nexport default Crown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cuboid\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cuboid\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Cuboid: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm21.12 6.4-6.05-4.06a2 2 0 0 0-2.17-.05L2.95 8.41a2 2 0 0 0-.95 1.7v5.82a2 2 0 0 0 .88 1.66l6.05 4.07a2 2 0 0 0 2.17.05l9.95-6.12a2 2 0 0 0 .95-1.7V8.06a2 2 0 0 0-.88-1.66Z',\n },\n ],\n ['path', { d: 'M10 22v-8L2.25 9.15' }],\n ['path', { d: 'm10 14 11.77-6.87' }],\n ],\n];\n\nexport default Cuboid;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cup-soda\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cup-soda\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst CupSoda: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm6 8 1.75 12.28a2 2 0 0 0 2 1.72h4.54a2 2 0 0 0 2-1.72L18 8' }],\n ['path', { d: 'M5 8h14' }],\n ['path', { d: 'M7 15a6.47 6.47 0 0 1 5 0 6.47 6.47 0 0 0 5 0' }],\n ['path', { d: 'm12 8 1-6h2' }],\n ],\n];\n\nexport default CupSoda;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name currency\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/currency\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Currency: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '8' }],\n ['line', { x1: '3', x2: '6', y1: '3', y2: '6' }],\n ['line', { x1: '21', x2: '18', y1: '3', y2: '6' }],\n ['line', { x1: '3', x2: '6', y1: '21', y2: '18' }],\n ['line', { x1: '21', x2: '18', y1: '21', y2: '18' }],\n ],\n];\n\nexport default Currency;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name cylinder\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/cylinder\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Cylinder: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['ellipse', { cx: '12', cy: '5', rx: '9', ry: '3' }],\n ['path', { d: 'M3 5v14a9 3 0 0 0 18 0V5' }],\n ],\n];\n\nexport default Cylinder;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name dam\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/dam\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Dam: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11 11.31c1.17.56 1.54 1.69 3.5 1.69 2.5 0 2.5-2 5-2 1.3 0 1.9.5 2.5 1' }],\n ['path', { d: 'M11.75 18c.35.5 1.45 1 2.75 1 2.5 0 2.5-2 5-2 1.3 0 1.9.5 2.5 1' }],\n ['path', { d: 'M2 10h4' }],\n ['path', { d: 'M2 14h4' }],\n ['path', { d: 'M2 18h4' }],\n ['path', { d: 'M2 6h4' }],\n ['path', { d: 'M7 3a1 1 0 0 0-1 1v16a1 1 0 0 0 1 1h4a1 1 0 0 0 1-1L10 4a1 1 0 0 0-1-1z' }],\n ],\n];\n\nexport default Dam;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name database-backup\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/database-backup\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst DatabaseBackup: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['ellipse', { cx: '12', cy: '5', rx: '9', ry: '3' }],\n ['path', { d: 'M3 12a9 3 0 0 0 5 2.69' }],\n ['path', { d: 'M21 9.3V5' }],\n ['path', { d: 'M3 5v14a9 3 0 0 0 6.47 2.88' }],\n ['path', { d: 'M12 12v4h4' }],\n ['path', { d: 'M13 20a5 5 0 0 0 9-3 4.5 4.5 0 0 0-4.5-4.5c-1.33 0-2.54.54-3.41 1.41L12 16' }],\n ],\n];\n\nexport default DatabaseBackup;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name database-zap\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/database-zap\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst DatabaseZap: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['ellipse', { cx: '12', cy: '5', rx: '9', ry: '3' }],\n ['path', { d: 'M3 5V19A9 3 0 0 0 15 21.84' }],\n ['path', { d: 'M21 5V8' }],\n ['path', { d: 'M21 12L18 17H22L19 22' }],\n ['path', { d: 'M3 12A9 3 0 0 0 14.59 14.87' }],\n ],\n];\n\nexport default DatabaseZap;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name database\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/database\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Database: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['ellipse', { cx: '12', cy: '5', rx: '9', ry: '3' }],\n ['path', { d: 'M3 5V19A9 3 0 0 0 21 19V5' }],\n ['path', { d: 'M3 12A9 3 0 0 0 21 12' }],\n ],\n];\n\nexport default Database;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name delete\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/delete\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Delete: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M10 5a2 2 0 0 0-1.344.519l-6.328 5.74a1 1 0 0 0 0 1.481l6.328 5.741A2 2 0 0 0 10 19h10a2 2 0 0 0 2-2V7a2 2 0 0 0-2-2z',\n },\n ],\n ['path', { d: 'm12 9 6 6' }],\n ['path', { d: 'm18 9-6 6' }],\n ],\n];\n\nexport default Delete;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name dessert\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/dessert\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Dessert: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '4', r: '2' }],\n [\n 'path',\n {\n d: 'M10.2 3.2C5.5 4 2 8.1 2 13a2 2 0 0 0 4 0v-1a2 2 0 0 1 4 0v4a2 2 0 0 0 4 0v-4a2 2 0 0 1 4 0v1a2 2 0 0 0 4 0c0-4.9-3.5-9-8.2-9.8',\n },\n ],\n ['path', { d: 'M3.2 14.8a9 9 0 0 0 17.6 0' }],\n ],\n];\n\nexport default Dessert;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name diameter\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/diameter\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Diameter: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '19', cy: '19', r: '2' }],\n ['circle', { cx: '5', cy: '5', r: '2' }],\n ['path', { d: 'M6.48 3.66a10 10 0 0 1 13.86 13.86' }],\n ['path', { d: 'm6.41 6.41 11.18 11.18' }],\n ['path', { d: 'M3.66 6.48a10 10 0 0 0 13.86 13.86' }],\n ],\n];\n\nexport default Diameter;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name diamond-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/diamond-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst DiamondMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2.7 10.3a2.41 2.41 0 0 0 0 3.41l7.59 7.59a2.41 2.41 0 0 0 3.41 0l7.59-7.59a2.41 2.41 0 0 0 0-3.41L13.7 2.71a2.41 2.41 0 0 0-3.41 0z',\n },\n ],\n ['path', { d: 'M8 12h8' }],\n ],\n];\n\nexport default DiamondMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name diamond-percent\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/diamond-percent\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst DiamondPercent: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2.7 10.3a2.41 2.41 0 0 0 0 3.41l7.59 7.59a2.41 2.41 0 0 0 3.41 0l7.59-7.59a2.41 2.41 0 0 0 0-3.41L13.7 2.71a2.41 2.41 0 0 0-3.41 0Z',\n },\n ],\n ['path', { d: 'M9.2 9.2h.01' }],\n ['path', { d: 'm14.5 9.5-5 5' }],\n ['path', { d: 'M14.7 14.8h.01' }],\n ],\n];\n\nexport default DiamondPercent;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name diamond-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/diamond-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst DiamondPlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 8v8' }],\n [\n 'path',\n {\n d: 'M2.7 10.3a2.41 2.41 0 0 0 0 3.41l7.59 7.59a2.41 2.41 0 0 0 3.41 0l7.59-7.59a2.41 2.41 0 0 0 0-3.41L13.7 2.71a2.41 2.41 0 0 0-3.41 0z',\n },\n ],\n ['path', { d: 'M8 12h8' }],\n ],\n];\n\nexport default DiamondPlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name diamond\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/diamond\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Diamond: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2.7 10.3a2.41 2.41 0 0 0 0 3.41l7.59 7.59a2.41 2.41 0 0 0 3.41 0l7.59-7.59a2.41 2.41 0 0 0 0-3.41l-7.59-7.59a2.41 2.41 0 0 0-3.41 0Z',\n },\n ],\n ],\n];\n\nexport default Diamond;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name dice-1\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/dice-1\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Dice1: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2', ry: '2' }],\n ['path', { d: 'M12 12h.01' }],\n ],\n];\n\nexport default Dice1;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name dice-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/dice-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Dice2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2', ry: '2' }],\n ['path', { d: 'M15 9h.01' }],\n ['path', { d: 'M9 15h.01' }],\n ],\n];\n\nexport default Dice2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name dice-3\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/dice-3\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Dice3: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2', ry: '2' }],\n ['path', { d: 'M16 8h.01' }],\n ['path', { d: 'M12 12h.01' }],\n ['path', { d: 'M8 16h.01' }],\n ],\n];\n\nexport default Dice3;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name dice-4\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/dice-4\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Dice4: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2', ry: '2' }],\n ['path', { d: 'M16 8h.01' }],\n ['path', { d: 'M8 8h.01' }],\n ['path', { d: 'M8 16h.01' }],\n ['path', { d: 'M16 16h.01' }],\n ],\n];\n\nexport default Dice4;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name dice-5\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/dice-5\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Dice5: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2', ry: '2' }],\n ['path', { d: 'M16 8h.01' }],\n ['path', { d: 'M8 8h.01' }],\n ['path', { d: 'M8 16h.01' }],\n ['path', { d: 'M16 16h.01' }],\n ['path', { d: 'M12 12h.01' }],\n ],\n];\n\nexport default Dice5;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name dice-6\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/dice-6\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Dice6: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2', ry: '2' }],\n ['path', { d: 'M16 8h.01' }],\n ['path', { d: 'M16 12h.01' }],\n ['path', { d: 'M16 16h.01' }],\n ['path', { d: 'M8 8h.01' }],\n ['path', { d: 'M8 12h.01' }],\n ['path', { d: 'M8 16h.01' }],\n ],\n];\n\nexport default Dice6;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name dices\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/dices\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Dices: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '12', height: '12', x: '2', y: '10', rx: '2', ry: '2' }],\n ['path', { d: 'm17.92 14 3.5-3.5a2.24 2.24 0 0 0 0-3l-5-4.92a2.24 2.24 0 0 0-3 0L10 6' }],\n ['path', { d: 'M6 18h.01' }],\n ['path', { d: 'M10 14h.01' }],\n ['path', { d: 'M15 6h.01' }],\n ['path', { d: 'M18 9h.01' }],\n ],\n];\n\nexport default Dices;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name diff\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/diff\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Diff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 3v14' }],\n ['path', { d: 'M5 10h14' }],\n ['path', { d: 'M5 21h14' }],\n ],\n];\n\nexport default Diff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name disc-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/disc-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Disc2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['circle', { cx: '12', cy: '12', r: '4' }],\n ['path', { d: 'M12 12h.01' }],\n ],\n];\n\nexport default Disc2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name disc-3\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/disc-3\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Disc3: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M6 12c0-1.7.7-3.2 1.8-4.2' }],\n ['circle', { cx: '12', cy: '12', r: '2' }],\n ['path', { d: 'M18 12c0 1.7-.7 3.2-1.8 4.2' }],\n ],\n];\n\nexport default Disc3;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name disc-album\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/disc-album\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst DiscAlbum: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['circle', { cx: '12', cy: '12', r: '5' }],\n ['path', { d: 'M12 12h.01' }],\n ],\n];\n\nexport default DiscAlbum;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name disc\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/disc\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Disc: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['circle', { cx: '12', cy: '12', r: '2' }],\n ],\n];\n\nexport default Disc;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name divide\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/divide\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Divide: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '6', r: '1' }],\n ['line', { x1: '5', x2: '19', y1: '12', y2: '12' }],\n ['circle', { cx: '12', cy: '18', r: '1' }],\n ],\n];\n\nexport default Divide;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name dna-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/dna-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst DnaOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2c-1.35 1.5-2.092 3-2.5 4.5L14 8' }],\n ['path', { d: 'm17 6-2.891-2.891' }],\n ['path', { d: 'M2 15c3.333-3 6.667-3 10-3' }],\n ['path', { d: 'm2 2 20 20' }],\n ['path', { d: 'm20 9 .891.891' }],\n ['path', { d: 'M22 9c-1.5 1.35-3 2.092-4.5 2.5l-1-1' }],\n ['path', { d: 'M3.109 14.109 4 15' }],\n ['path', { d: 'm6.5 12.5 1 1' }],\n ['path', { d: 'm7 18 2.891 2.891' }],\n ['path', { d: 'M9 22c1.35-1.5 2.092-3 2.5-4.5L10 16' }],\n ],\n];\n\nexport default DnaOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name dna\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/dna\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Dna: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm10 16 1.5 1.5' }],\n ['path', { d: 'm14 8-1.5-1.5' }],\n ['path', { d: 'M15 2c-1.798 1.998-2.518 3.995-2.807 5.993' }],\n ['path', { d: 'm16.5 10.5 1 1' }],\n ['path', { d: 'm17 6-2.891-2.891' }],\n ['path', { d: 'M2 15c6.667-6 13.333 0 20-6' }],\n ['path', { d: 'm20 9 .891.891' }],\n ['path', { d: 'M3.109 14.109 4 15' }],\n ['path', { d: 'm6.5 12.5 1 1' }],\n ['path', { d: 'm7 18 2.891 2.891' }],\n ['path', { d: 'M9 22c1.798-1.998 2.518-3.995 2.807-5.993' }],\n ],\n];\n\nexport default Dna;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name dock\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/dock\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Dock: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 8h20' }],\n ['rect', { width: '20', height: '16', x: '2', y: '4', rx: '2' }],\n ['path', { d: 'M6 16h12' }],\n ],\n];\n\nexport default Dock;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name dog\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/dog\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Dog: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11.25 16.25h1.5L12 17z' }],\n ['path', { d: 'M16 14v.5' }],\n [\n 'path',\n {\n d: 'M4.42 11.247A13.152 13.152 0 0 0 4 14.556C4 18.728 7.582 21 12 21s8-2.272 8-6.444a11.702 11.702 0 0 0-.493-3.309',\n },\n ],\n ['path', { d: 'M8 14v.5' }],\n [\n 'path',\n {\n d: 'M8.5 8.5c-.384 1.05-1.083 2.028-2.344 2.5-1.931.722-3.576-.297-3.656-1-.113-.994 1.177-6.53 4-7 1.923-.321 3.651.845 3.651 2.235A7.497 7.497 0 0 1 14 5.277c0-1.39 1.844-2.598 3.767-2.277 2.823.47 4.113 6.006 4 7-.08.703-1.725 1.722-3.656 1-1.261-.472-1.855-1.45-2.239-2.5',\n },\n ],\n ],\n];\n\nexport default Dog;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name dollar-sign\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/dollar-sign\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst DollarSign: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '12', x2: '12', y1: '2', y2: '22' }],\n ['path', { d: 'M17 5H9.5a3.5 3.5 0 0 0 0 7h5a3.5 3.5 0 0 1 0 7H6' }],\n ],\n];\n\nexport default DollarSign;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name donut\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/donut\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Donut: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20.5 10a2.5 2.5 0 0 1-2.4-3H18a2.95 2.95 0 0 1-2.6-4.4 10 10 0 1 0 6.3 7.1c-.3.2-.8.3-1.2.3',\n },\n ],\n ['circle', { cx: '12', cy: '12', r: '3' }],\n ],\n];\n\nexport default Donut;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name door-closed\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/door-closed\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst DoorClosed: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18 20V6a2 2 0 0 0-2-2H8a2 2 0 0 0-2 2v14' }],\n ['path', { d: 'M2 20h20' }],\n ['path', { d: 'M14 12v.01' }],\n ],\n];\n\nexport default DoorClosed;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name door-open\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/door-open\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst DoorOpen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13 4h3a2 2 0 0 1 2 2v14' }],\n ['path', { d: 'M2 20h3' }],\n ['path', { d: 'M13 20h9' }],\n ['path', { d: 'M10 12v.01' }],\n [\n 'path',\n {\n d: 'M13 4.562v16.157a1 1 0 0 1-1.242.97L5 20V5.562a2 2 0 0 1 1.515-1.94l4-1A2 2 0 0 1 13 4.561Z',\n },\n ],\n ],\n];\n\nexport default DoorOpen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name dot\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/dot\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Dot: IconNode = ['svg', defaultAttributes, [['circle', { cx: '12.1', cy: '12.1', r: '1' }]]];\n\nexport default Dot;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name download\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/download\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Download: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4' }],\n ['polyline', { points: '7 10 12 15 17 10' }],\n ['line', { x1: '12', x2: '12', y1: '15', y2: '3' }],\n ],\n];\n\nexport default Download;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name drafting-compass\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/drafting-compass\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst DraftingCompass: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm12.99 6.74 1.93 3.44' }],\n ['path', { d: 'M19.136 12a10 10 0 0 1-14.271 0' }],\n ['path', { d: 'm21 21-2.16-3.84' }],\n ['path', { d: 'm3 21 8.02-14.26' }],\n ['circle', { cx: '12', cy: '5', r: '2' }],\n ],\n];\n\nexport default DraftingCompass;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name drama\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/drama\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Drama: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 11h.01' }],\n ['path', { d: 'M14 6h.01' }],\n ['path', { d: 'M18 6h.01' }],\n ['path', { d: 'M6.5 13.1h.01' }],\n ['path', { d: 'M22 5c0 9-4 12-6 12s-6-3-6-12c0-2 2-3 6-3s6 1 6 3' }],\n ['path', { d: 'M17.4 9.9c-.8.8-2 .8-2.8 0' }],\n [\n 'path',\n {\n d: 'M10.1 7.1C9 7.2 7.7 7.7 6 8.6c-3.5 2-4.7 3.9-3.7 5.6 4.5 7.8 9.5 8.4 11.2 7.4.9-.5 1.9-2.1 1.9-4.7',\n },\n ],\n ['path', { d: 'M9.1 16.5c.3-1.1 1.4-1.7 2.4-1.4' }],\n ],\n];\n\nexport default Drama;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name dribbble\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/dribbble\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n * @deprecated Brand icons have been deprecated and are due to be removed, please refer to https://github.com/lucide-icons/lucide/issues/670. We recommend using https://simpleicons.org/?q=dribbble instead. This icon will be removed in v1.0\n */\nconst Dribbble: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M19.13 5.09C15.22 9.14 10 10.44 2.25 10.94' }],\n ['path', { d: 'M21.75 12.84c-6.62-1.41-12.14 1-16.38 6.32' }],\n ['path', { d: 'M8.56 2.75c4.37 6 6 9.42 8 17.72' }],\n ],\n];\n\nexport default Dribbble;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name drill\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/drill\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Drill: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M14 9c0 .6-.4 1-1 1H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9c.6 0 1 .4 1 1Z' }],\n ['path', { d: 'M18 6h4' }],\n ['path', { d: 'M14 4h3a1 1 0 0 1 1 1v2a1 1 0 0 1-1 1h-3' }],\n ['path', { d: 'm5 10-2 8' }],\n ['path', { d: 'M12 10v3c0 .6-.4 1-1 1H8' }],\n ['path', { d: 'm7 18 2-8' }],\n ['path', { d: 'M5 22c-1.7 0-3-1.3-3-3 0-.6.4-1 1-1h7c.6 0 1 .4 1 1v2c0 .6-.4 1-1 1Z' }],\n ],\n];\n\nexport default Drill;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name droplet\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/droplet\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Droplet: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M12 22a7 7 0 0 0 7-7c0-2-1-3.9-3-5.5s-3.5-4-4-6.5c-.5 2.5-2 4.9-4 6.5C6 11.1 5 13 5 15a7 7 0 0 0 7 7z',\n },\n ],\n ],\n];\n\nexport default Droplet;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name droplets\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/droplets\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Droplets: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M7 16.3c2.2 0 4-1.83 4-4.05 0-1.16-.57-2.26-1.71-3.19S7.29 6.75 7 5.3c-.29 1.45-1.14 2.84-2.29 3.76S3 11.1 3 12.25c0 2.22 1.8 4.05 4 4.05z',\n },\n ],\n [\n 'path',\n {\n d: 'M12.56 6.6A10.97 10.97 0 0 0 14 3.02c.5 2.5 2 4.9 4 6.5s3 3.5 3 5.5a6.98 6.98 0 0 1-11.91 4.97',\n },\n ],\n ],\n];\n\nexport default Droplets;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name drum\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/drum\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Drum: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm2 2 8 8' }],\n ['path', { d: 'm22 2-8 8' }],\n ['ellipse', { cx: '12', cy: '9', rx: '10', ry: '5' }],\n ['path', { d: 'M7 13.4v7.9' }],\n ['path', { d: 'M12 14v8' }],\n ['path', { d: 'M17 13.4v7.9' }],\n ['path', { d: 'M2 9v8a10 5 0 0 0 20 0V9' }],\n ],\n];\n\nexport default Drum;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name drumstick\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/drumstick\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Drumstick: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15.4 15.63a7.875 6 135 1 1 6.23-6.23 4.5 3.43 135 0 0-6.23 6.23' }],\n ['path', { d: 'm8.29 12.71-2.6 2.6a2.5 2.5 0 1 0-1.65 4.65A2.5 2.5 0 1 0 8.7 18.3l2.59-2.59' }],\n ],\n];\n\nexport default Drumstick;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name dumbbell\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/dumbbell\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Dumbbell: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M14.4 14.4 9.6 9.6' }],\n [\n 'path',\n {\n d: 'M18.657 21.485a2 2 0 1 1-2.829-2.828l-1.767 1.768a2 2 0 1 1-2.829-2.829l6.364-6.364a2 2 0 1 1 2.829 2.829l-1.768 1.767a2 2 0 1 1 2.828 2.829z',\n },\n ],\n ['path', { d: 'm21.5 21.5-1.4-1.4' }],\n ['path', { d: 'M3.9 3.9 2.5 2.5' }],\n [\n 'path',\n {\n d: 'M6.404 12.768a2 2 0 1 1-2.829-2.829l1.768-1.767a2 2 0 1 1-2.828-2.829l2.828-2.828a2 2 0 1 1 2.829 2.828l1.767-1.768a2 2 0 1 1 2.829 2.829z',\n },\n ],\n ],\n];\n\nexport default Dumbbell;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ear-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ear-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst EarOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 18.5a3.5 3.5 0 1 0 7 0c0-1.57.92-2.52 2.04-3.46' }],\n ['path', { d: 'M6 8.5c0-.75.13-1.47.36-2.14' }],\n ['path', { d: 'M8.8 3.15A6.5 6.5 0 0 1 19 8.5c0 1.63-.44 2.81-1.09 3.76' }],\n ['path', { d: 'M12.5 6A2.5 2.5 0 0 1 15 8.5M10 13a2 2 0 0 0 1.82-1.18' }],\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ],\n];\n\nexport default EarOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ear\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ear\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Ear: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 8.5a6.5 6.5 0 1 1 13 0c0 6-6 6-6 10a3.5 3.5 0 1 1-7 0' }],\n ['path', { d: 'M15 8.5a2.5 2.5 0 0 0-5 0v1a2 2 0 1 1 0 4' }],\n ],\n];\n\nexport default Ear;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name earth-lock\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/earth-lock\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst EarthLock: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7 3.34V5a3 3 0 0 0 3 3' }],\n ['path', { d: 'M11 21.95V18a2 2 0 0 0-2-2 2 2 0 0 1-2-2v-1a2 2 0 0 0-2-2H2.05' }],\n ['path', { d: 'M21.54 15H17a2 2 0 0 0-2 2v4.54' }],\n ['path', { d: 'M12 2a10 10 0 1 0 9.54 13' }],\n ['path', { d: 'M20 6V4a2 2 0 1 0-4 0v2' }],\n ['rect', { width: '8', height: '5', x: '14', y: '6', rx: '1' }],\n ],\n];\n\nexport default EarthLock;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name earth\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/earth\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Earth: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21.54 15H17a2 2 0 0 0-2 2v4.54' }],\n [\n 'path',\n { d: 'M7 3.34V5a3 3 0 0 0 3 3a2 2 0 0 1 2 2c0 1.1.9 2 2 2a2 2 0 0 0 2-2c0-1.1.9-2 2-2h3.17' },\n ],\n ['path', { d: 'M11 21.95V18a2 2 0 0 0-2-2a2 2 0 0 1-2-2v-1a2 2 0 0 0-2-2H2.05' }],\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ],\n];\n\nexport default Earth;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name eclipse\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/eclipse\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Eclipse: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M12 2a7 7 0 1 0 10 10' }],\n ],\n];\n\nexport default Eclipse;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name egg-fried\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/egg-fried\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst EggFried: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '11.5', cy: '12.5', r: '3.5' }],\n [\n 'path',\n {\n d: 'M3 8c0-3.5 2.5-6 6.5-6 5 0 4.83 3 7.5 5s5 2 5 6c0 4.5-2.5 6.5-7 6.5-2.5 0-2.5 2.5-6 2.5s-7-2-7-5.5c0-3 1.5-3 1.5-5C3.5 10 3 9 3 8Z',\n },\n ],\n ],\n];\n\nexport default EggFried;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name egg-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/egg-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst EggOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M6.399 6.399C5.362 8.157 4.65 10.189 4.5 12c-.37 4.43 1.27 9.95 7.5 10 3.256-.026 5.259-1.547 6.375-3.625',\n },\n ],\n [\n 'path',\n {\n d: 'M19.532 13.875A14.07 14.07 0 0 0 19.5 12c-.36-4.34-3.95-9.96-7.5-10-1.04.012-2.082.502-3.046 1.297',\n },\n ],\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ],\n];\n\nexport default EggOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name egg\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/egg\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Egg: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M12 22c6.23-.05 7.87-5.57 7.5-10-.36-4.34-3.95-9.96-7.5-10-3.55.04-7.14 5.66-7.5 10-.37 4.43 1.27 9.95 7.5 10z',\n },\n ],\n ],\n];\n\nexport default Egg;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ellipsis-vertical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ellipsis-vertical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst EllipsisVertical: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '1' }],\n ['circle', { cx: '12', cy: '5', r: '1' }],\n ['circle', { cx: '12', cy: '19', r: '1' }],\n ],\n];\n\nexport default EllipsisVertical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ellipsis\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ellipsis\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Ellipsis: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '1' }],\n ['circle', { cx: '19', cy: '12', r: '1' }],\n ['circle', { cx: '5', cy: '12', r: '1' }],\n ],\n];\n\nexport default Ellipsis;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name equal-not\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/equal-not\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst EqualNot: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '5', x2: '19', y1: '9', y2: '9' }],\n ['line', { x1: '5', x2: '19', y1: '15', y2: '15' }],\n ['line', { x1: '19', x2: '5', y1: '5', y2: '19' }],\n ],\n];\n\nexport default EqualNot;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name equal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/equal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Equal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '5', x2: '19', y1: '9', y2: '9' }],\n ['line', { x1: '5', x2: '19', y1: '15', y2: '15' }],\n ],\n];\n\nexport default Equal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name eraser\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/eraser\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Eraser: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n { d: 'm7 21-4.3-4.3c-1-1-1-2.5 0-3.4l9.6-9.6c1-1 2.5-1 3.4 0l5.6 5.6c1 1 1 2.5 0 3.4L13 21' },\n ],\n ['path', { d: 'M22 21H7' }],\n ['path', { d: 'm5 11 9 9' }],\n ],\n];\n\nexport default Eraser;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name euro\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/euro\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Euro: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 10h12' }],\n ['path', { d: 'M4 14h9' }],\n [\n 'path',\n { d: 'M19 6a7.7 7.7 0 0 0-5.2-2A7.9 7.9 0 0 0 6 12c0 4.4 3.5 8 7.8 8 2 0 3.8-.8 5.2-2' },\n ],\n ],\n];\n\nexport default Euro;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name expand\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/expand\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Expand: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm21 21-6-6m6 6v-4.8m0 4.8h-4.8' }],\n ['path', { d: 'M3 16.2V21m0 0h4.8M3 21l6-6' }],\n ['path', { d: 'M21 7.8V3m0 0h-4.8M21 3l-6 6' }],\n ['path', { d: 'M3 7.8V3m0 0h4.8M3 3l6 6' }],\n ],\n];\n\nexport default Expand;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name external-link\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/external-link\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ExternalLink: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 3h6v6' }],\n ['path', { d: 'M10 14 21 3' }],\n ['path', { d: 'M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6' }],\n ],\n];\n\nexport default ExternalLink;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name eye-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/eye-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst EyeOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M10.733 5.076a10.744 10.744 0 0 1 11.205 6.575 1 1 0 0 1 0 .696 10.747 10.747 0 0 1-1.444 2.49',\n },\n ],\n ['path', { d: 'M14.084 14.158a3 3 0 0 1-4.242-4.242' }],\n [\n 'path',\n {\n d: 'M17.479 17.499a10.75 10.75 0 0 1-15.417-5.151 1 1 0 0 1 0-.696 10.75 10.75 0 0 1 4.446-5.143',\n },\n ],\n ['path', { d: 'm2 2 20 20' }],\n ],\n];\n\nexport default EyeOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name eye\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/eye\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Eye: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2.062 12.348a1 1 0 0 1 0-.696 10.75 10.75 0 0 1 19.876 0 1 1 0 0 1 0 .696 10.75 10.75 0 0 1-19.876 0',\n },\n ],\n ['circle', { cx: '12', cy: '12', r: '3' }],\n ],\n];\n\nexport default Eye;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name facebook\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/facebook\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n * @deprecated Brand icons have been deprecated and are due to be removed, please refer to https://github.com/lucide-icons/lucide/issues/670. We recommend using https://simpleicons.org/?q=facebook instead. This icon will be removed in v1.0\n */\nconst Facebook: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M18 2h-3a5 5 0 0 0-5 5v3H7v4h3v8h4v-8h3l1-4h-4V7a1 1 0 0 1 1-1h3z' }]],\n];\n\nexport default Facebook;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name factory\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/factory\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Factory: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n { d: 'M2 20a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2V8l-7 5V8l-7 5V4a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2Z' },\n ],\n ['path', { d: 'M17 18h1' }],\n ['path', { d: 'M12 18h1' }],\n ['path', { d: 'M7 18h1' }],\n ],\n];\n\nexport default Factory;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name fan\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/fan\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Fan: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M10.827 16.379a6.082 6.082 0 0 1-8.618-7.002l5.412 1.45a6.082 6.082 0 0 1 7.002-8.618l-1.45 5.412a6.082 6.082 0 0 1 8.618 7.002l-5.412-1.45a6.082 6.082 0 0 1-7.002 8.618l1.45-5.412Z',\n },\n ],\n ['path', { d: 'M12 12v.01' }],\n ],\n];\n\nexport default Fan;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name fast-forward\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/fast-forward\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FastForward: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polygon', { points: '13 19 22 12 13 5 13 19' }],\n ['polygon', { points: '2 19 11 12 2 5 2 19' }],\n ],\n];\n\nexport default FastForward;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name feather\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/feather\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Feather: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M12.67 19a2 2 0 0 0 1.416-.588l6.154-6.172a6 6 0 0 0-8.49-8.49L5.586 9.914A2 2 0 0 0 5 11.328V18a1 1 0 0 0 1 1z',\n },\n ],\n ['path', { d: 'M16 8 2 22' }],\n ['path', { d: 'M17.5 15H9' }],\n ],\n];\n\nexport default Feather;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name fence\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/fence\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Fence: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 3 2 5v15c0 .6.4 1 1 1h2c.6 0 1-.4 1-1V5Z' }],\n ['path', { d: 'M6 8h4' }],\n ['path', { d: 'M6 18h4' }],\n ['path', { d: 'm12 3-2 2v15c0 .6.4 1 1 1h2c.6 0 1-.4 1-1V5Z' }],\n ['path', { d: 'M14 8h4' }],\n ['path', { d: 'M14 18h4' }],\n ['path', { d: 'm20 3-2 2v15c0 .6.4 1 1 1h2c.6 0 1-.4 1-1V5Z' }],\n ],\n];\n\nexport default Fence;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ferris-wheel\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ferris-wheel\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FerrisWheel: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '2' }],\n ['path', { d: 'M12 2v4' }],\n ['path', { d: 'm6.8 15-3.5 2' }],\n ['path', { d: 'm20.7 7-3.5 2' }],\n ['path', { d: 'M6.8 9 3.3 7' }],\n ['path', { d: 'm20.7 17-3.5-2' }],\n ['path', { d: 'm9 22 3-8 3 8' }],\n ['path', { d: 'M8 22h8' }],\n ['path', { d: 'M18 18.7a9 9 0 1 0-12 0' }],\n ],\n];\n\nexport default FerrisWheel;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name figma\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/figma\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n * @deprecated Brand icons have been deprecated and are due to be removed, please refer to https://github.com/lucide-icons/lucide/issues/670. We recommend using https://simpleicons.org/?q=figma instead. This icon will be removed in v1.0\n */\nconst Figma: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5 5.5A3.5 3.5 0 0 1 8.5 2H12v7H8.5A3.5 3.5 0 0 1 5 5.5z' }],\n ['path', { d: 'M12 2h3.5a3.5 3.5 0 1 1 0 7H12V2z' }],\n ['path', { d: 'M12 12.5a3.5 3.5 0 1 1 7 0 3.5 3.5 0 1 1-7 0z' }],\n ['path', { d: 'M5 19.5A3.5 3.5 0 0 1 8.5 16H12v3.5a3.5 3.5 0 1 1-7 0z' }],\n ['path', { d: 'M5 12.5A3.5 3.5 0 0 1 8.5 9H12v7H8.5A3.5 3.5 0 0 1 5 12.5z' }],\n ],\n];\n\nexport default Figma;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-archive\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-archive\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileArchive: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 12v-1' }],\n ['path', { d: 'M10 18v-2' }],\n ['path', { d: 'M10 7V6' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M15.5 22H18a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v16a2 2 0 0 0 .274 1.01' }],\n ['circle', { cx: '10', cy: '20', r: '2' }],\n ],\n];\n\nexport default FileArchive;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-audio-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-audio-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileAudio2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 22h14a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v2' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['circle', { cx: '3', cy: '17', r: '1' }],\n ['path', { d: 'M2 17v-3a4 4 0 0 1 8 0v3' }],\n ['circle', { cx: '9', cy: '17', r: '1' }],\n ],\n];\n\nexport default FileAudio2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-audio\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-audio\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileAudio: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M17.5 22h.5a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v3' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n [\n 'path',\n {\n d: 'M2 19a2 2 0 1 1 4 0v1a2 2 0 1 1-4 0v-4a6 6 0 0 1 12 0v4a2 2 0 1 1-4 0v-1a2 2 0 1 1 4 0',\n },\n ],\n ],\n];\n\nexport default FileAudio;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-axis-3d\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-axis-3d\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileAxis3d: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'm8 18 4-4' }],\n ['path', { d: 'M8 10v8h8' }],\n ],\n];\n\nexport default FileAxis3d;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-badge-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-badge-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileBadge2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['circle', { cx: '12', cy: '10', r: '3' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'm14 12.5 1 5.5-3-1-3 1 1-5.5' }],\n ],\n];\n\nexport default FileBadge2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-badge\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-badge\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileBadge: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 22h6a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v3' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M5 17a3 3 0 1 0 0-6 3 3 0 0 0 0 6Z' }],\n ['path', { d: 'M7 16.5 8 22l-3-1-3 1 1-5.5' }],\n ],\n];\n\nexport default FileBadge;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-box\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-box\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileBox: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M14.5 22H18a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v4' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n [\n 'path',\n {\n d: 'M3 13.1a2 2 0 0 0-1 1.76v3.24a2 2 0 0 0 .97 1.78L6 21.7a2 2 0 0 0 2.03.01L11 19.9a2 2 0 0 0 1-1.76V14.9a2 2 0 0 0-.97-1.78L8 11.3a2 2 0 0 0-2.03-.01Z',\n },\n ],\n ['path', { d: 'M7 17v5' }],\n ['path', { d: 'M11.7 14.2 7 17l-4.7-2.8' }],\n ],\n];\n\nexport default FileBox;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-chart-column-increasing\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-chart-column-increasing\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileChartColumnIncreasing: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M8 18v-2' }],\n ['path', { d: 'M12 18v-4' }],\n ['path', { d: 'M16 18v-6' }],\n ],\n];\n\nexport default FileChartColumnIncreasing;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-chart-column\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-chart-column\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileChartColumn: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M8 18v-1' }],\n ['path', { d: 'M12 18v-6' }],\n ['path', { d: 'M16 18v-3' }],\n ],\n];\n\nexport default FileChartColumn;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-chart-line\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-chart-line\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileChartLine: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'm16 13-3.5 3.5-2-2L8 17' }],\n ],\n];\n\nexport default FileChartLine;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-chart-pie\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-chart-pie\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileChartPie: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M16 22h2a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v3.5' }],\n ['path', { d: 'M4.017 11.512a6 6 0 1 0 8.466 8.475' }],\n [\n 'path',\n {\n d: 'M9 16a1 1 0 0 1-1-1v-4c0-.552.45-1.008.995-.917a6 6 0 0 1 4.922 4.922c.091.544-.365.995-.917.995z',\n },\n ],\n ],\n];\n\nexport default FileChartPie;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-check-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-check-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileCheck2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 22h14a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v4' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'm3 15 2 2 4-4' }],\n ],\n];\n\nexport default FileCheck2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'm9 15 2 2 4-4' }],\n ],\n];\n\nexport default FileCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-clock\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-clock\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileClock: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 22h2a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v3' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['circle', { cx: '8', cy: '16', r: '6' }],\n ['path', { d: 'M9.5 17.5 8 16.25V14' }],\n ],\n];\n\nexport default FileClock;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-code-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-code-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileCode2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 22h14a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v4' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'm5 12-3 3 3 3' }],\n ['path', { d: 'm9 18 3-3-3-3' }],\n ],\n];\n\nexport default FileCode2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-code\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-code\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileCode: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 12.5 8 15l2 2.5' }],\n ['path', { d: 'm14 12.5 2 2.5-2 2.5' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7z' }],\n ],\n];\n\nexport default FileCode;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-cog\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-cog\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileCog: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'm3.2 12.9-.9-.4' }],\n ['path', { d: 'm3.2 15.1-.9.4' }],\n ['path', { d: 'M4.677 21.5a2 2 0 0 0 1.313.5H18a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v2.5' }],\n ['path', { d: 'm4.9 11.2-.4-.9' }],\n ['path', { d: 'm4.9 16.8-.4.9' }],\n ['path', { d: 'm7.5 10.3-.4.9' }],\n ['path', { d: 'm7.5 17.7-.4-.9' }],\n ['path', { d: 'm9.7 12.5-.9.4' }],\n ['path', { d: 'm9.7 15.5-.9-.4' }],\n ['circle', { cx: '6', cy: '14', r: '3' }],\n ],\n];\n\nexport default FileCog;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-diff\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-diff\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileDiff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M9 10h6' }],\n ['path', { d: 'M12 13V7' }],\n ['path', { d: 'M9 17h6' }],\n ],\n];\n\nexport default FileDiff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-digit\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-digit\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileDigit: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 22h14a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v4' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['rect', { width: '4', height: '6', x: '2', y: '12', rx: '2' }],\n ['path', { d: 'M10 12h2v6' }],\n ['path', { d: 'M10 18h4' }],\n ],\n];\n\nexport default FileDigit;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M12 18v-6' }],\n ['path', { d: 'm9 15 3 3 3-3' }],\n ],\n];\n\nexport default FileDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-heart\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-heart\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileHeart: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 22h14a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v2' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n [\n 'path',\n {\n d: 'M10.29 10.7a2.43 2.43 0 0 0-2.66-.52c-.29.12-.56.3-.78.53l-.35.34-.35-.34a2.43 2.43 0 0 0-2.65-.53c-.3.12-.56.3-.79.53-.95.94-1 2.53.2 3.74L6.5 18l3.6-3.55c1.2-1.21 1.14-2.8.19-3.74Z',\n },\n ],\n ],\n];\n\nexport default FileHeart;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-image\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-image\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileImage: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['circle', { cx: '10', cy: '12', r: '2' }],\n ['path', { d: 'm20 17-1.296-1.296a2.41 2.41 0 0 0-3.408 0L9 22' }],\n ],\n];\n\nexport default FileImage;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-input\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-input\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileInput: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 22h14a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v4' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M2 15h10' }],\n ['path', { d: 'm9 18 3-3-3-3' }],\n ],\n];\n\nexport default FileInput;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-json-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-json-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileJson2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 22h14a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v4' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M4 12a1 1 0 0 0-1 1v1a1 1 0 0 1-1 1 1 1 0 0 1 1 1v1a1 1 0 0 0 1 1' }],\n ['path', { d: 'M8 18a1 1 0 0 0 1-1v-1a1 1 0 0 1 1-1 1 1 0 0 1-1-1v-1a1 1 0 0 0-1-1' }],\n ],\n];\n\nexport default FileJson2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-json\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-json\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileJson: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M10 12a1 1 0 0 0-1 1v1a1 1 0 0 1-1 1 1 1 0 0 1 1 1v1a1 1 0 0 0 1 1' }],\n ['path', { d: 'M14 18a1 1 0 0 0 1-1v-1a1 1 0 0 1 1-1 1 1 0 0 1-1-1v-1a1 1 0 0 0-1-1' }],\n ],\n];\n\nexport default FileJson;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-key-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-key-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileKey2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 22h14a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v6' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['circle', { cx: '4', cy: '16', r: '2' }],\n ['path', { d: 'm10 10-4.5 4.5' }],\n ['path', { d: 'm9 11 1 1' }],\n ],\n];\n\nexport default FileKey2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-key\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-key\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileKey: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['circle', { cx: '10', cy: '16', r: '2' }],\n ['path', { d: 'm16 10-4.5 4.5' }],\n ['path', { d: 'm15 11 1 1' }],\n ],\n];\n\nexport default FileKey;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-lock-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-lock-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileLock2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 22h14a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v1' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['rect', { width: '8', height: '5', x: '2', y: '13', rx: '1' }],\n ['path', { d: 'M8 13v-2a2 2 0 1 0-4 0v2' }],\n ],\n];\n\nexport default FileLock2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-lock\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-lock\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileLock: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['rect', { width: '8', height: '6', x: '8', y: '12', rx: '1' }],\n ['path', { d: 'M10 12v-2a2 2 0 1 1 4 0v2' }],\n ],\n];\n\nexport default FileLock;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-minus-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-minus-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileMinus2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 22h14a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v4' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M3 15h6' }],\n ],\n];\n\nexport default FileMinus2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M9 15h6' }],\n ],\n];\n\nexport default FileMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-music\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-music\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileMusic: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '14', cy: '16', r: '2' }],\n ['circle', { cx: '6', cy: '18', r: '2' }],\n ['path', { d: 'M4 12.4V4a2 2 0 0 1 2-2h8.5L20 7.5V20a2 2 0 0 1-2 2h-7.5' }],\n ['path', { d: 'M8 18v-7.7L16 9v7' }],\n ],\n];\n\nexport default FileMusic;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-output\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-output\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileOutput: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M4 7V4a2 2 0 0 1 2-2 2 2 0 0 0-2 2' }],\n ['path', { d: 'M4.063 20.999a2 2 0 0 0 2 1L18 22a2 2 0 0 0 2-2V7l-5-5H6' }],\n ['path', { d: 'm5 11-3 3' }],\n ['path', { d: 'm5 17-3-3h10' }],\n ],\n];\n\nexport default FileOutput;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-pen-line\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-pen-line\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FilePenLine: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm18 5-2.414-2.414A2 2 0 0 0 14.172 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2',\n },\n ],\n [\n 'path',\n {\n d: 'M21.378 12.626a1 1 0 0 0-3.004-3.004l-4.01 4.012a2 2 0 0 0-.506.854l-.837 2.87a.5.5 0 0 0 .62.62l2.87-.837a2 2 0 0 0 .854-.506z',\n },\n ],\n ['path', { d: 'M8 18h1' }],\n ],\n];\n\nexport default FilePenLine;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-pen\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-pen\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FilePen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12.5 22H18a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v9.5' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n [\n 'path',\n {\n d: 'M13.378 15.626a1 1 0 1 0-3.004-3.004l-5.01 5.012a2 2 0 0 0-.506.854l-.837 2.87a.5.5 0 0 0 .62.62l2.87-.837a2 2 0 0 0 .854-.506z',\n },\n ],\n ],\n];\n\nexport default FilePen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-plus-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-plus-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FilePlus2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 22h14a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v4' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M3 15h6' }],\n ['path', { d: 'M6 12v6' }],\n ],\n];\n\nexport default FilePlus2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FilePlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M9 15h6' }],\n ['path', { d: 'M12 18v-6' }],\n ],\n];\n\nexport default FilePlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-question\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-question\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileQuestion: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 17h.01' }],\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7z' }],\n ['path', { d: 'M9.1 9a3 3 0 0 1 5.82 1c0 2-3 3-3 3' }],\n ],\n];\n\nexport default FileQuestion;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-scan\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-scan\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileScan: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M20 10V7l-5-5H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M16 14a2 2 0 0 0-2 2' }],\n ['path', { d: 'M20 14a2 2 0 0 1 2 2' }],\n ['path', { d: 'M20 22a2 2 0 0 0 2-2' }],\n ['path', { d: 'M16 22a2 2 0 0 1-2-2' }],\n ],\n];\n\nexport default FileScan;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-search-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-search-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileSearch2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['circle', { cx: '11.5', cy: '14.5', r: '2.5' }],\n ['path', { d: 'M13.3 16.3 15 18' }],\n ],\n];\n\nexport default FileSearch2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-search\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-search\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileSearch: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M4.268 21a2 2 0 0 0 1.727 1H18a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v3' }],\n ['path', { d: 'm9 18-1.5-1.5' }],\n ['circle', { cx: '5', cy: '14', r: '3' }],\n ],\n];\n\nexport default FileSearch;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-sliders\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-sliders\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileSliders: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M8 12h8' }],\n ['path', { d: 'M10 11v2' }],\n ['path', { d: 'M8 17h8' }],\n ['path', { d: 'M14 16v2' }],\n ],\n];\n\nexport default FileSliders;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-spreadsheet\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-spreadsheet\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileSpreadsheet: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M8 13h2' }],\n ['path', { d: 'M14 13h2' }],\n ['path', { d: 'M8 17h2' }],\n ['path', { d: 'M14 17h2' }],\n ],\n];\n\nexport default FileSpreadsheet;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-stack\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-stack\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileStack: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 7h-3a2 2 0 0 1-2-2V2' }],\n [\n 'path',\n { d: 'M21 6v6.5c0 .8-.7 1.5-1.5 1.5h-7c-.8 0-1.5-.7-1.5-1.5v-9c0-.8.7-1.5 1.5-1.5H17Z' },\n ],\n ['path', { d: 'M7 8v8.8c0 .3.2.6.4.8.2.2.5.4.8.4H15' }],\n ['path', { d: 'M3 12v8.8c0 .3.2.6.4.8.2.2.5.4.8.4H11' }],\n ],\n];\n\nexport default FileStack;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-symlink\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-symlink\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileSymlink: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm10 18 3-3-3-3' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n [\n 'path',\n { d: 'M4 11V4a2 2 0 0 1 2-2h9l5 5v13a2 2 0 0 1-2 2H6a2 2 0 0 1-2-2v-3a2 2 0 0 1 2-2h7' },\n ],\n ],\n];\n\nexport default FileSymlink;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-terminal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-terminal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileTerminal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'm8 16 2-2-2-2' }],\n ['path', { d: 'M12 18h4' }],\n ],\n];\n\nexport default FileTerminal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-text\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-text\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileText: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M10 9H8' }],\n ['path', { d: 'M16 13H8' }],\n ['path', { d: 'M16 17H8' }],\n ],\n];\n\nexport default FileText;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-type-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-type-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileType2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 22h14a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v4' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M2 13v-1h6v1' }],\n ['path', { d: 'M5 12v6' }],\n ['path', { d: 'M4 18h2' }],\n ],\n];\n\nexport default FileType2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-type\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-type\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileType: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M9 13v-1h6v1' }],\n ['path', { d: 'M12 12v6' }],\n ['path', { d: 'M11 18h2' }],\n ],\n];\n\nexport default FileType;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M12 12v6' }],\n ['path', { d: 'm15 15-3-3-3 3' }],\n ],\n];\n\nexport default FileUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-video-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-video-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileVideo2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 22h14a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v4' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['rect', { width: '8', height: '6', x: '2', y: '12', rx: '1' }],\n ['path', { d: 'm10 15.5 4 2.5v-6l-4 2.5' }],\n ],\n];\n\nexport default FileVideo2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-video\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-video\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileVideo: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'm10 11 5 3-5 3v-6Z' }],\n ],\n];\n\nexport default FileVideo;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-volume-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-volume-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileVolume2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M8 15h.01' }],\n ['path', { d: 'M11.5 13.5a2.5 2.5 0 0 1 0 3' }],\n ['path', { d: 'M15 12a5 5 0 0 1 0 6' }],\n ],\n];\n\nexport default FileVolume2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-volume\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-volume\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileVolume: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11 11a5 5 0 0 1 0 6' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M4.268 21A2 2 0 0 0 6 22h12a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v3' }],\n ['path', { d: 'm7 10-3 2H2v4h2l3 2z' }],\n ],\n];\n\nexport default FileVolume;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-warning\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-warning\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileWarning: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M12 9v4' }],\n ['path', { d: 'M12 17h.01' }],\n ],\n];\n\nexport default FileWarning;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-x-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-x-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileX2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 22h14a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v4' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'm8 12.5-5 5' }],\n ['path', { d: 'm3 12.5 5 5' }],\n ],\n];\n\nexport default FileX2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FileX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'm14.5 12.5-5 5' }],\n ['path', { d: 'm9.5 12.5 5 5' }],\n ],\n];\n\nexport default FileX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name file\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/file\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst File: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z' }],\n ['path', { d: 'M14 2v4a2 2 0 0 0 2 2h4' }],\n ],\n];\n\nexport default File;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name files\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/files\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Files: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M20 7h-3a2 2 0 0 1-2-2V2' }],\n ['path', { d: 'M9 18a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h7l4 4v10a2 2 0 0 1-2 2Z' }],\n ['path', { d: 'M3 7.6v12.8A1.6 1.6 0 0 0 4.6 22h9.8' }],\n ],\n];\n\nexport default Files;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name film\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/film\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Film: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M7 3v18' }],\n ['path', { d: 'M3 7.5h4' }],\n ['path', { d: 'M3 12h18' }],\n ['path', { d: 'M3 16.5h4' }],\n ['path', { d: 'M17 3v18' }],\n ['path', { d: 'M17 7.5h4' }],\n ['path', { d: 'M17 16.5h4' }],\n ],\n];\n\nexport default Film;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name filter-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/filter-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FilterX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13.013 3H2l8 9.46V19l4 2v-8.54l.9-1.055' }],\n ['path', { d: 'm22 3-5 5' }],\n ['path', { d: 'm17 3 5 5' }],\n ],\n];\n\nexport default FilterX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name filter\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/filter\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Filter: IconNode = [\n 'svg',\n defaultAttributes,\n [['polygon', { points: '22 3 2 3 10 12.46 10 19 14 21 14 12.46 22 3' }]],\n];\n\nexport default Filter;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name fingerprint\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/fingerprint\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Fingerprint: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 10a2 2 0 0 0-2 2c0 1.02-.1 2.51-.26 4' }],\n ['path', { d: 'M14 13.12c0 2.38 0 6.38-1 8.88' }],\n ['path', { d: 'M17.29 21.02c.12-.6.43-2.3.5-3.02' }],\n ['path', { d: 'M2 12a10 10 0 0 1 18-6' }],\n ['path', { d: 'M2 16h.01' }],\n ['path', { d: 'M21.8 16c.2-2 .131-5.354 0-6' }],\n ['path', { d: 'M5 19.5C5.5 18 6 15 6 12a6 6 0 0 1 .34-2' }],\n ['path', { d: 'M8.65 22c.21-.66.45-1.32.57-2' }],\n ['path', { d: 'M9 6.8a6 6 0 0 1 9 5.2v2' }],\n ],\n];\n\nexport default Fingerprint;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name fire-extinguisher\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/fire-extinguisher\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FireExtinguisher: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 6.5V3a1 1 0 0 0-1-1h-2a1 1 0 0 0-1 1v3.5' }],\n ['path', { d: 'M9 18h8' }],\n ['path', { d: 'M18 3h-3' }],\n ['path', { d: 'M11 3a6 6 0 0 0-6 6v11' }],\n ['path', { d: 'M5 13h4' }],\n ['path', { d: 'M17 10a4 4 0 0 0-8 0v10a2 2 0 0 0 2 2h4a2 2 0 0 0 2-2Z' }],\n ],\n];\n\nexport default FireExtinguisher;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name fish-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/fish-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FishOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M18 12.47v.03m0-.5v.47m-.475 5.056A6.744 6.744 0 0 1 15 18c-3.56 0-7.56-2.53-8.5-6 .348-1.28 1.114-2.433 2.121-3.38m3.444-2.088A8.802 8.802 0 0 1 15 6c3.56 0 6.06 2.54 7 6-.309 1.14-.786 2.177-1.413 3.058',\n },\n ],\n [\n 'path',\n {\n d: 'M7 10.67C7 8 5.58 5.97 2.73 5.5c-1 1.5-1 5 .23 6.5-1.24 1.5-1.24 5-.23 6.5C5.58 18.03 7 16 7 13.33m7.48-4.372A9.77 9.77 0 0 1 16 6.07m0 11.86a9.77 9.77 0 0 1-1.728-3.618',\n },\n ],\n [\n 'path',\n {\n d: 'm16.01 17.93-.23 1.4A2 2 0 0 1 13.8 21H9.5a5.96 5.96 0 0 0 1.49-3.98M8.53 3h5.27a2 2 0 0 1 1.98 1.67l.23 1.4M2 2l20 20',\n },\n ],\n ],\n];\n\nexport default FishOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name fish-symbol\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/fish-symbol\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FishSymbol: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M2 16s9-15 20-4C11 23 2 8 2 8' }]],\n];\n\nexport default FishSymbol;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name fish\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/fish\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Fish: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M6.5 12c.94-3.46 4.94-6 8.5-6 3.56 0 6.06 2.54 7 6-.94 3.47-3.44 6-7 6s-7.56-2.53-8.5-6Z',\n },\n ],\n ['path', { d: 'M18 12v.5' }],\n ['path', { d: 'M16 17.93a9.77 9.77 0 0 1 0-11.86' }],\n [\n 'path',\n {\n d: 'M7 10.67C7 8 5.58 5.97 2.73 5.5c-1 1.5-1 5 .23 6.5-1.24 1.5-1.24 5-.23 6.5C5.58 18.03 7 16 7 13.33',\n },\n ],\n ['path', { d: 'M10.46 7.26C10.2 5.88 9.17 4.24 8 3h5.8a2 2 0 0 1 1.98 1.67l.23 1.4' }],\n ['path', { d: 'm16.01 17.93-.23 1.4A2 2 0 0 1 13.8 21H9.5a5.96 5.96 0 0 0 1.49-3.98' }],\n ],\n];\n\nexport default Fish;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name flag-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/flag-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FlagOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 2c3 0 5 2 8 2s4-1 4-1v11' }],\n ['path', { d: 'M4 22V4' }],\n ['path', { d: 'M4 15s1-1 4-1 5 2 8 2' }],\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ],\n];\n\nexport default FlagOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name flag-triangle-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/flag-triangle-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FlagTriangleLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M17 22V2L7 7l10 5' }]],\n];\n\nexport default FlagTriangleLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name flag-triangle-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/flag-triangle-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FlagTriangleRight: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M7 22V2l10 5-10 5' }]],\n];\n\nexport default FlagTriangleRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name flag\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/flag\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Flag: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 15s1-1 4-1 5 2 8 2 4-1 4-1V3s-1 1-4 1-5-2-8-2-4 1-4 1z' }],\n ['line', { x1: '4', x2: '4', y1: '22', y2: '15' }],\n ],\n];\n\nexport default Flag;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name flame-kindling\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/flame-kindling\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FlameKindling: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M12 2c1 3 2.5 3.5 3.5 4.5A5 5 0 0 1 17 10a5 5 0 1 1-10 0c0-.3 0-.6.1-.9a2 2 0 1 0 3.3-2C8 4.5 11 2 12 2Z',\n },\n ],\n ['path', { d: 'm5 22 14-4' }],\n ['path', { d: 'm5 18 14 4' }],\n ],\n];\n\nexport default FlameKindling;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name flame\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/flame\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Flame: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M8.5 14.5A2.5 2.5 0 0 0 11 12c0-1.38-.5-2-1-3-1.072-2.143-.224-4.054 2-6 .5 2.5 2 4.9 4 6.5 2 1.6 3 3.5 3 5.5a7 7 0 1 1-14 0c0-1.153.433-2.294 1-3a2.5 2.5 0 0 0 2.5 2.5z',\n },\n ],\n ],\n];\n\nexport default Flame;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name flashlight-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/flashlight-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FlashlightOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 16v4a2 2 0 0 1-2 2h-4a2 2 0 0 1-2-2V10c0-2-2-2-2-4' }],\n ['path', { d: 'M7 2h11v4c0 2-2 2-2 4v1' }],\n ['line', { x1: '11', x2: '18', y1: '6', y2: '6' }],\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ],\n];\n\nexport default FlashlightOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name flashlight\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/flashlight\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Flashlight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18 6c0 2-2 2-2 4v10a2 2 0 0 1-2 2h-4a2 2 0 0 1-2-2V10c0-2-2-2-2-4V2h12z' }],\n ['line', { x1: '6', x2: '18', y1: '6', y2: '6' }],\n ['line', { x1: '12', x2: '12', y1: '12', y2: '12' }],\n ],\n];\n\nexport default Flashlight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name flask-conical-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/flask-conical-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FlaskConicalOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 10 4.72 20.55a1 1 0 0 0 .9 1.45h12.76a1 1 0 0 0 .9-1.45l-1.272-2.542' }],\n ['path', { d: 'M10 2v2.343' }],\n ['path', { d: 'M14 2v6.343' }],\n ['path', { d: 'M8.5 2h7' }],\n ['path', { d: 'M7 16h9' }],\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ],\n];\n\nexport default FlaskConicalOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name flask-conical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/flask-conical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FlaskConical: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M10 2v7.527a2 2 0 0 1-.211.896L4.72 20.55a1 1 0 0 0 .9 1.45h12.76a1 1 0 0 0 .9-1.45l-5.069-10.127A2 2 0 0 1 14 9.527V2',\n },\n ],\n ['path', { d: 'M8.5 2h7' }],\n ['path', { d: 'M7 16h10' }],\n ],\n];\n\nexport default FlaskConical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name flask-round\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/flask-round\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FlaskRound: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 2v7.31' }],\n ['path', { d: 'M14 9.3V1.99' }],\n ['path', { d: 'M8.5 2h7' }],\n ['path', { d: 'M14 9.3a6.5 6.5 0 1 1-4 0' }],\n ['path', { d: 'M5.52 16h12.96' }],\n ],\n];\n\nexport default FlaskRound;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name flip-horizontal-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/flip-horizontal-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FlipHorizontal2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 7 5 5-5 5V7' }],\n ['path', { d: 'm21 7-5 5 5 5V7' }],\n ['path', { d: 'M12 20v2' }],\n ['path', { d: 'M12 14v2' }],\n ['path', { d: 'M12 8v2' }],\n ['path', { d: 'M12 2v2' }],\n ],\n];\n\nexport default FlipHorizontal2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name flip-horizontal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/flip-horizontal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FlipHorizontal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 3H5a2 2 0 0 0-2 2v14c0 1.1.9 2 2 2h3' }],\n ['path', { d: 'M16 3h3a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2h-3' }],\n ['path', { d: 'M12 20v2' }],\n ['path', { d: 'M12 14v2' }],\n ['path', { d: 'M12 8v2' }],\n ['path', { d: 'M12 2v2' }],\n ],\n];\n\nexport default FlipHorizontal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name flip-vertical-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/flip-vertical-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FlipVertical2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm17 3-5 5-5-5h10' }],\n ['path', { d: 'm17 21-5-5-5 5h10' }],\n ['path', { d: 'M4 12H2' }],\n ['path', { d: 'M10 12H8' }],\n ['path', { d: 'M16 12h-2' }],\n ['path', { d: 'M22 12h-2' }],\n ],\n];\n\nexport default FlipVertical2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name flip-vertical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/flip-vertical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FlipVertical: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 8V5a2 2 0 0 0-2-2H5a2 2 0 0 0-2 2v3' }],\n ['path', { d: 'M21 16v3a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-3' }],\n ['path', { d: 'M4 12H2' }],\n ['path', { d: 'M10 12H8' }],\n ['path', { d: 'M16 12h-2' }],\n ['path', { d: 'M22 12h-2' }],\n ],\n];\n\nexport default FlipVertical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name flower-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/flower-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Flower2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M12 5a3 3 0 1 1 3 3m-3-3a3 3 0 1 0-3 3m3-3v1M9 8a3 3 0 1 0 3 3M9 8h1m5 0a3 3 0 1 1-3 3m3-3h-1m-2 3v-1',\n },\n ],\n ['circle', { cx: '12', cy: '8', r: '2' }],\n ['path', { d: 'M12 10v12' }],\n ['path', { d: 'M12 22c4.2 0 7-1.667 7-5-4.2 0-7 1.667-7 5Z' }],\n ['path', { d: 'M12 22c-4.2 0-7-1.667-7-5 4.2 0 7 1.667 7 5Z' }],\n ],\n];\n\nexport default Flower2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name flower\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/flower\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Flower: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '3' }],\n [\n 'path',\n {\n d: 'M12 16.5A4.5 4.5 0 1 1 7.5 12 4.5 4.5 0 1 1 12 7.5a4.5 4.5 0 1 1 4.5 4.5 4.5 4.5 0 1 1-4.5 4.5',\n },\n ],\n ['path', { d: 'M12 7.5V9' }],\n ['path', { d: 'M7.5 12H9' }],\n ['path', { d: 'M16.5 12H15' }],\n ['path', { d: 'M12 16.5V15' }],\n ['path', { d: 'm8 8 1.88 1.88' }],\n ['path', { d: 'M14.12 9.88 16 8' }],\n ['path', { d: 'm8 16 1.88-1.88' }],\n ['path', { d: 'M14.12 14.12 16 16' }],\n ],\n];\n\nexport default Flower;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name focus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/focus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Focus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '3' }],\n ['path', { d: 'M3 7V5a2 2 0 0 1 2-2h2' }],\n ['path', { d: 'M17 3h2a2 2 0 0 1 2 2v2' }],\n ['path', { d: 'M21 17v2a2 2 0 0 1-2 2h-2' }],\n ['path', { d: 'M7 21H5a2 2 0 0 1-2-2v-2' }],\n ],\n];\n\nexport default Focus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name fold-horizontal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/fold-horizontal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FoldHorizontal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 12h6' }],\n ['path', { d: 'M22 12h-6' }],\n ['path', { d: 'M12 2v2' }],\n ['path', { d: 'M12 8v2' }],\n ['path', { d: 'M12 14v2' }],\n ['path', { d: 'M12 20v2' }],\n ['path', { d: 'm19 9-3 3 3 3' }],\n ['path', { d: 'm5 15 3-3-3-3' }],\n ],\n];\n\nexport default FoldHorizontal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name fold-vertical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/fold-vertical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FoldVertical: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 22v-6' }],\n ['path', { d: 'M12 8V2' }],\n ['path', { d: 'M4 12H2' }],\n ['path', { d: 'M10 12H8' }],\n ['path', { d: 'M16 12h-2' }],\n ['path', { d: 'M22 12h-2' }],\n ['path', { d: 'm15 19-3-3-3 3' }],\n ['path', { d: 'm15 5-3 3-3-3' }],\n ],\n];\n\nexport default FoldVertical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-archive\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-archive\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderArchive: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '15', cy: '19', r: '2' }],\n [\n 'path',\n {\n d: 'M20.9 19.8A2 2 0 0 0 22 18V8a2 2 0 0 0-2-2h-7.9a2 2 0 0 1-1.69-.9L9.6 3.9A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13a2 2 0 0 0 2 2h5.1',\n },\n ],\n ['path', { d: 'M15 11v-1' }],\n ['path', { d: 'M15 17v-2' }],\n ],\n];\n\nexport default FolderArchive;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 20a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.9a2 2 0 0 1-1.69-.9L9.6 3.9A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13a2 2 0 0 0 2 2Z',\n },\n ],\n ['path', { d: 'm9 13 2 2 4-4' }],\n ],\n];\n\nexport default FolderCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-clock\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-clock\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderClock: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '16', cy: '16', r: '6' }],\n [\n 'path',\n {\n d: 'M7 20H4a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h3.9a2 2 0 0 1 1.69.9l.81 1.2a2 2 0 0 0 1.67.9H20a2 2 0 0 1 2 2',\n },\n ],\n ['path', { d: 'M16 14v2l1 1' }],\n ],\n];\n\nexport default FolderClock;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-closed\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-closed\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderClosed: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 20a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.9a2 2 0 0 1-1.69-.9L9.6 3.9A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13a2 2 0 0 0 2 2Z',\n },\n ],\n ['path', { d: 'M2 10h20' }],\n ],\n];\n\nexport default FolderClosed;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-code\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-code\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderCode: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 10.5 8 13l2 2.5' }],\n ['path', { d: 'm14 10.5 2 2.5-2 2.5' }],\n [\n 'path',\n {\n d: 'M20 20a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.9a2 2 0 0 1-1.69-.9L9.6 3.9A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13a2 2 0 0 0 2 2z',\n },\n ],\n ],\n];\n\nexport default FolderCode;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-cog\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-cog\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderCog: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '18', cy: '18', r: '3' }],\n [\n 'path',\n {\n d: 'M10.3 20H4a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h3.9a2 2 0 0 1 1.69.9l.81 1.2a2 2 0 0 0 1.67.9H20a2 2 0 0 1 2 2v3.3',\n },\n ],\n ['path', { d: 'm21.7 19.4-.9-.3' }],\n ['path', { d: 'm15.2 16.9-.9-.3' }],\n ['path', { d: 'm16.6 21.7.3-.9' }],\n ['path', { d: 'm19.1 15.2.3-.9' }],\n ['path', { d: 'm19.6 21.7-.4-1' }],\n ['path', { d: 'm16.8 15.3-.4-1' }],\n ['path', { d: 'm14.3 19.6 1-.4' }],\n ['path', { d: 'm20.7 16.8 1-.4' }],\n ],\n];\n\nexport default FolderCog;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-dot\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-dot\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderDot: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M4 20h16a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.93a2 2 0 0 1-1.66-.9l-.82-1.2A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13c0 1.1.9 2 2 2Z',\n },\n ],\n ['circle', { cx: '12', cy: '13', r: '1' }],\n ],\n];\n\nexport default FolderDot;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 20a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.9a2 2 0 0 1-1.69-.9L9.6 3.9A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13a2 2 0 0 0 2 2Z',\n },\n ],\n ['path', { d: 'M12 10v6' }],\n ['path', { d: 'm15 13-3 3-3-3' }],\n ],\n];\n\nexport default FolderDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-git-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-git-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderGit2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M9 20H4a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h3.9a2 2 0 0 1 1.69.9l.81 1.2a2 2 0 0 0 1.67.9H20a2 2 0 0 1 2 2v5',\n },\n ],\n ['circle', { cx: '13', cy: '12', r: '2' }],\n ['path', { d: 'M18 19c-2.8 0-5-2.2-5-5v8' }],\n ['circle', { cx: '20', cy: '19', r: '2' }],\n ],\n];\n\nexport default FolderGit2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-git\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-git\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderGit: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '13', r: '2' }],\n [\n 'path',\n {\n d: 'M20 20a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.9a2 2 0 0 1-1.69-.9L9.6 3.9A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13a2 2 0 0 0 2 2Z',\n },\n ],\n ['path', { d: 'M14 13h3' }],\n ['path', { d: 'M7 13h3' }],\n ],\n];\n\nexport default FolderGit;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-heart\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-heart\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderHeart: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M11 20H4a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h3.9a2 2 0 0 1 1.69.9l.81 1.2a2 2 0 0 0 1.67.9H20a2 2 0 0 1 2 2v1.5',\n },\n ],\n [\n 'path',\n {\n d: 'M13.9 17.45c-1.2-1.2-1.14-2.8-.2-3.73a2.43 2.43 0 0 1 3.44 0l.36.34.34-.34a2.43 2.43 0 0 1 3.45-.01c.95.95 1 2.53-.2 3.74L17.5 21Z',\n },\n ],\n ],\n];\n\nexport default FolderHeart;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-input\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-input\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderInput: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2 9V5a2 2 0 0 1 2-2h3.9a2 2 0 0 1 1.69.9l.81 1.2a2 2 0 0 0 1.67.9H20a2 2 0 0 1 2 2v10a2 2 0 0 1-2 2H4a2 2 0 0 1-2-2v-1',\n },\n ],\n ['path', { d: 'M2 13h10' }],\n ['path', { d: 'm9 16 3-3-3-3' }],\n ],\n];\n\nexport default FolderInput;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-kanban\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-kanban\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderKanban: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M4 20h16a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.93a2 2 0 0 1-1.66-.9l-.82-1.2A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13c0 1.1.9 2 2 2Z',\n },\n ],\n ['path', { d: 'M8 10v4' }],\n ['path', { d: 'M12 10v2' }],\n ['path', { d: 'M16 10v6' }],\n ],\n];\n\nexport default FolderKanban;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-key\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-key\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderKey: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '16', cy: '20', r: '2' }],\n [\n 'path',\n {\n d: 'M10 20H4a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h3.9a2 2 0 0 1 1.69.9l.81 1.2a2 2 0 0 0 1.67.9H20a2 2 0 0 1 2 2v2',\n },\n ],\n ['path', { d: 'm22 14-4.5 4.5' }],\n ['path', { d: 'm21 15 1 1' }],\n ],\n];\n\nexport default FolderKey;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-lock\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-lock\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderLock: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '8', height: '5', x: '14', y: '17', rx: '1' }],\n [\n 'path',\n {\n d: 'M10 20H4a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h3.9a2 2 0 0 1 1.69.9l.81 1.2a2 2 0 0 0 1.67.9H20a2 2 0 0 1 2 2v2.5',\n },\n ],\n ['path', { d: 'M20 17v-2a2 2 0 1 0-4 0v2' }],\n ],\n];\n\nexport default FolderLock;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M9 13h6' }],\n [\n 'path',\n {\n d: 'M20 20a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.9a2 2 0 0 1-1.69-.9L9.6 3.9A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13a2 2 0 0 0 2 2Z',\n },\n ],\n ],\n];\n\nexport default FolderMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-open-dot\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-open-dot\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderOpenDot: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm6 14 1.45-2.9A2 2 0 0 1 9.24 10H20a2 2 0 0 1 1.94 2.5l-1.55 6a2 2 0 0 1-1.94 1.5H4a2 2 0 0 1-2-2V5c0-1.1.9-2 2-2h3.93a2 2 0 0 1 1.66.9l.82 1.2a2 2 0 0 0 1.66.9H18a2 2 0 0 1 2 2v2',\n },\n ],\n ['circle', { cx: '14', cy: '15', r: '1' }],\n ],\n];\n\nexport default FolderOpenDot;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-open\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-open\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderOpen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm6 14 1.5-2.9A2 2 0 0 1 9.24 10H20a2 2 0 0 1 1.94 2.5l-1.54 6a2 2 0 0 1-1.95 1.5H4a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h3.9a2 2 0 0 1 1.69.9l.81 1.2a2 2 0 0 0 1.67.9H18a2 2 0 0 1 2 2v2',\n },\n ],\n ],\n];\n\nexport default FolderOpen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-output\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-output\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderOutput: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2 7.5V5a2 2 0 0 1 2-2h3.9a2 2 0 0 1 1.69.9l.81 1.2a2 2 0 0 0 1.67.9H20a2 2 0 0 1 2 2v10a2 2 0 0 1-2 2H4a2 2 0 0 1-2-1.5',\n },\n ],\n ['path', { d: 'M2 13h10' }],\n ['path', { d: 'm5 10-3 3 3 3' }],\n ],\n];\n\nexport default FolderOutput;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-pen\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-pen\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderPen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2 11.5V5a2 2 0 0 1 2-2h3.9c.7 0 1.3.3 1.7.9l.8 1.2c.4.6 1 .9 1.7.9H20a2 2 0 0 1 2 2v10a2 2 0 0 1-2 2h-9.5',\n },\n ],\n [\n 'path',\n {\n d: 'M11.378 13.626a1 1 0 1 0-3.004-3.004l-5.01 5.012a2 2 0 0 0-.506.854l-.837 2.87a.5.5 0 0 0 .62.62l2.87-.837a2 2 0 0 0 .854-.506z',\n },\n ],\n ],\n];\n\nexport default FolderPen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderPlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 10v6' }],\n ['path', { d: 'M9 13h6' }],\n [\n 'path',\n {\n d: 'M20 20a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.9a2 2 0 0 1-1.69-.9L9.6 3.9A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13a2 2 0 0 0 2 2Z',\n },\n ],\n ],\n];\n\nexport default FolderPlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-root\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-root\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderRoot: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M4 20h16a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.93a2 2 0 0 1-1.66-.9l-.82-1.2A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13c0 1.1.9 2 2 2Z',\n },\n ],\n ['circle', { cx: '12', cy: '13', r: '2' }],\n ['path', { d: 'M12 15v5' }],\n ],\n];\n\nexport default FolderRoot;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-search-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-search-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderSearch2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '11.5', cy: '12.5', r: '2.5' }],\n [\n 'path',\n {\n d: 'M20 20a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.9a2 2 0 0 1-1.69-.9L9.6 3.9A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13a2 2 0 0 0 2 2Z',\n },\n ],\n ['path', { d: 'M13.3 14.3 15 16' }],\n ],\n];\n\nexport default FolderSearch2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-search\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-search\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderSearch: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '17', cy: '17', r: '3' }],\n [\n 'path',\n {\n d: 'M10.7 20H4a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h3.9a2 2 0 0 1 1.69.9l.81 1.2a2 2 0 0 0 1.67.9H20a2 2 0 0 1 2 2v4.1',\n },\n ],\n ['path', { d: 'm21 21-1.5-1.5' }],\n ],\n];\n\nexport default FolderSearch;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-symlink\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-symlink\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderSymlink: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2 9V5a2 2 0 0 1 2-2h3.9a2 2 0 0 1 1.69.9l.81 1.2a2 2 0 0 0 1.67.9H20a2 2 0 0 1 2 2v10a2 2 0 0 1-2 2H4a2 2 0 0 1-2-2v-3a2 2 0 0 1 2-2h7',\n },\n ],\n ['path', { d: 'm8 16 3-3-3-3' }],\n ],\n];\n\nexport default FolderSymlink;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-sync\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-sync\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderSync: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M9 20H4a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h3.9a2 2 0 0 1 1.69.9l.81 1.2a2 2 0 0 0 1.67.9H20a2 2 0 0 1 2 2v.5',\n },\n ],\n ['path', { d: 'M12 10v4h4' }],\n ['path', { d: 'm12 14 1.535-1.605a5 5 0 0 1 8 1.5' }],\n ['path', { d: 'M22 22v-4h-4' }],\n ['path', { d: 'm22 18-1.535 1.605a5 5 0 0 1-8-1.5' }],\n ],\n];\n\nexport default FolderSync;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-tree\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-tree\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderTree: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 10a1 1 0 0 0 1-1V6a1 1 0 0 0-1-1h-2.5a1 1 0 0 1-.8-.4l-.9-1.2A1 1 0 0 0 15 3h-2a1 1 0 0 0-1 1v5a1 1 0 0 0 1 1Z',\n },\n ],\n [\n 'path',\n {\n d: 'M20 21a1 1 0 0 0 1-1v-3a1 1 0 0 0-1-1h-2.9a1 1 0 0 1-.88-.55l-.42-.85a1 1 0 0 0-.92-.6H13a1 1 0 0 0-1 1v5a1 1 0 0 0 1 1Z',\n },\n ],\n ['path', { d: 'M3 5a2 2 0 0 0 2 2h3' }],\n ['path', { d: 'M3 3v13a2 2 0 0 0 2 2h3' }],\n ],\n];\n\nexport default FolderTree;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 20a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.9a2 2 0 0 1-1.69-.9L9.6 3.9A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13a2 2 0 0 0 2 2Z',\n },\n ],\n ['path', { d: 'M12 10v6' }],\n ['path', { d: 'm9 13 3-3 3 3' }],\n ],\n];\n\nexport default FolderUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst FolderX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 20a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.9a2 2 0 0 1-1.69-.9L9.6 3.9A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13a2 2 0 0 0 2 2Z',\n },\n ],\n ['path', { d: 'm9.5 10.5 5 5' }],\n ['path', { d: 'm14.5 10.5-5 5' }],\n ],\n];\n\nexport default FolderX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folder\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folder\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Folder: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 20a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2h-7.9a2 2 0 0 1-1.69-.9L9.6 3.9A2 2 0 0 0 7.93 3H4a2 2 0 0 0-2 2v13a2 2 0 0 0 2 2Z',\n },\n ],\n ],\n];\n\nexport default Folder;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name folders\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/folders\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Folders: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 17a2 2 0 0 0 2-2V9a2 2 0 0 0-2-2h-3.9a2 2 0 0 1-1.69-.9l-.81-1.2a2 2 0 0 0-1.67-.9H8a2 2 0 0 0-2 2v9a2 2 0 0 0 2 2Z',\n },\n ],\n ['path', { d: 'M2 8v11a2 2 0 0 0 2 2h14' }],\n ],\n];\n\nexport default Folders;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name footprints\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/footprints\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Footprints: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M4 16v-2.38C4 11.5 2.97 10.5 3 8c.03-2.72 1.49-6 4.5-6C9.37 2 10 3.8 10 5.5c0 3.11-2 5.66-2 8.68V16a2 2 0 1 1-4 0Z',\n },\n ],\n [\n 'path',\n {\n d: 'M20 20v-2.38c0-2.12 1.03-3.12 1-5.62-.03-2.72-1.49-6-4.5-6C14.63 6 14 7.8 14 9.5c0 3.11 2 5.66 2 8.68V20a2 2 0 1 0 4 0Z',\n },\n ],\n ['path', { d: 'M16 17h4' }],\n ['path', { d: 'M4 13h4' }],\n ],\n];\n\nexport default Footprints;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name forklift\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/forklift\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Forklift: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 12H5a2 2 0 0 0-2 2v5' }],\n ['circle', { cx: '13', cy: '19', r: '2' }],\n ['circle', { cx: '5', cy: '19', r: '2' }],\n ['path', { d: 'M8 19h3m5-17v17h6M6 12V7c0-1.1.9-2 2-2h3l5 5' }],\n ],\n];\n\nexport default Forklift;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name forward\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/forward\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Forward: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '15 17 20 12 15 7' }],\n ['path', { d: 'M4 18v-2a4 4 0 0 1 4-4h12' }],\n ],\n];\n\nexport default Forward;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name frame\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/frame\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Frame: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '22', x2: '2', y1: '6', y2: '6' }],\n ['line', { x1: '22', x2: '2', y1: '18', y2: '18' }],\n ['line', { x1: '6', x2: '6', y1: '2', y2: '22' }],\n ['line', { x1: '18', x2: '18', y1: '2', y2: '22' }],\n ],\n];\n\nexport default Frame;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name framer\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/framer\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n * @deprecated Brand icons have been deprecated and are due to be removed, please refer to https://github.com/lucide-icons/lucide/issues/670. We recommend using https://simpleicons.org/?q=framer instead. This icon will be removed in v1.0\n */\nconst Framer: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M5 16V9h14V2H5l14 14h-7m-7 0 7 7v-7m-7 0h7' }]],\n];\n\nexport default Framer;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name frown\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/frown\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Frown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M16 16s-1.5-2-4-2-4 2-4 2' }],\n ['line', { x1: '9', x2: '9.01', y1: '9', y2: '9' }],\n ['line', { x1: '15', x2: '15.01', y1: '9', y2: '9' }],\n ],\n];\n\nexport default Frown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name fuel\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/fuel\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Fuel: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '3', x2: '15', y1: '22', y2: '22' }],\n ['line', { x1: '4', x2: '14', y1: '9', y2: '9' }],\n ['path', { d: 'M14 22V4a2 2 0 0 0-2-2H6a2 2 0 0 0-2 2v18' }],\n [\n 'path',\n { d: 'M14 13h2a2 2 0 0 1 2 2v2a2 2 0 0 0 2 2a2 2 0 0 0 2-2V9.83a2 2 0 0 0-.59-1.42L18 5' },\n ],\n ],\n];\n\nexport default Fuel;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name fullscreen\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/fullscreen\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Fullscreen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 7V5a2 2 0 0 1 2-2h2' }],\n ['path', { d: 'M17 3h2a2 2 0 0 1 2 2v2' }],\n ['path', { d: 'M21 17v2a2 2 0 0 1-2 2h-2' }],\n ['path', { d: 'M7 21H5a2 2 0 0 1-2-2v-2' }],\n ['rect', { width: '10', height: '8', x: '7', y: '8', rx: '1' }],\n ],\n];\n\nexport default Fullscreen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name gallery-horizontal-end\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/gallery-horizontal-end\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GalleryHorizontalEnd: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 7v10' }],\n ['path', { d: 'M6 5v14' }],\n ['rect', { width: '12', height: '18', x: '10', y: '3', rx: '2' }],\n ],\n];\n\nexport default GalleryHorizontalEnd;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name gallery-horizontal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/gallery-horizontal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GalleryHorizontal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 3v18' }],\n ['rect', { width: '12', height: '18', x: '6', y: '3', rx: '2' }],\n ['path', { d: 'M22 3v18' }],\n ],\n];\n\nexport default GalleryHorizontal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name gallery-thumbnails\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/gallery-thumbnails\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GalleryThumbnails: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '14', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M4 21h1' }],\n ['path', { d: 'M9 21h1' }],\n ['path', { d: 'M14 21h1' }],\n ['path', { d: 'M19 21h1' }],\n ],\n];\n\nexport default GalleryThumbnails;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name gallery-vertical-end\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/gallery-vertical-end\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GalleryVerticalEnd: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7 2h10' }],\n ['path', { d: 'M5 6h14' }],\n ['rect', { width: '18', height: '12', x: '3', y: '10', rx: '2' }],\n ],\n];\n\nexport default GalleryVerticalEnd;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name gallery-vertical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/gallery-vertical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GalleryVertical: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 2h18' }],\n ['rect', { width: '18', height: '12', x: '3', y: '6', rx: '2' }],\n ['path', { d: 'M3 22h18' }],\n ],\n];\n\nexport default GalleryVertical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name gamepad-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/gamepad-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Gamepad2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '6', x2: '10', y1: '11', y2: '11' }],\n ['line', { x1: '8', x2: '8', y1: '9', y2: '13' }],\n ['line', { x1: '15', x2: '15.01', y1: '12', y2: '12' }],\n ['line', { x1: '18', x2: '18.01', y1: '10', y2: '10' }],\n [\n 'path',\n {\n d: 'M17.32 5H6.68a4 4 0 0 0-3.978 3.59c-.006.052-.01.101-.017.152C2.604 9.416 2 14.456 2 16a3 3 0 0 0 3 3c1 0 1.5-.5 2-1l1.414-1.414A2 2 0 0 1 9.828 16h4.344a2 2 0 0 1 1.414.586L17 18c.5.5 1 1 2 1a3 3 0 0 0 3-3c0-1.545-.604-6.584-.685-7.258-.007-.05-.011-.1-.017-.151A4 4 0 0 0 17.32 5z',\n },\n ],\n ],\n];\n\nexport default Gamepad2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name gamepad\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/gamepad\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Gamepad: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '6', x2: '10', y1: '12', y2: '12' }],\n ['line', { x1: '8', x2: '8', y1: '10', y2: '14' }],\n ['line', { x1: '15', x2: '15.01', y1: '13', y2: '13' }],\n ['line', { x1: '18', x2: '18.01', y1: '11', y2: '11' }],\n ['rect', { width: '20', height: '12', x: '2', y: '6', rx: '2' }],\n ],\n];\n\nexport default Gamepad;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name gauge\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/gauge\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Gauge: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm12 14 4-4' }],\n ['path', { d: 'M3.34 19a10 10 0 1 1 17.32 0' }],\n ],\n];\n\nexport default Gauge;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name gavel\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/gavel\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Gavel: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm14.5 12.5-8 8a2.119 2.119 0 1 1-3-3l8-8' }],\n ['path', { d: 'm16 16 6-6' }],\n ['path', { d: 'm8 8 6-6' }],\n ['path', { d: 'm9 7 8 8' }],\n ['path', { d: 'm21 11-8-8' }],\n ],\n];\n\nexport default Gavel;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name gem\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/gem\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Gem: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 3h12l4 6-10 13L2 9Z' }],\n ['path', { d: 'M11 3 8 9l4 13 4-13-3-6' }],\n ['path', { d: 'M2 9h20' }],\n ],\n];\n\nexport default Gem;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ghost\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ghost\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Ghost: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M9 10h.01' }],\n ['path', { d: 'M15 10h.01' }],\n ['path', { d: 'M12 2a8 8 0 0 0-8 8v12l3-3 2.5 2.5L12 19l2.5 2.5L17 19l3 3V10a8 8 0 0 0-8-8z' }],\n ],\n];\n\nexport default Ghost;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name gift\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/gift\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Gift: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { x: '3', y: '8', width: '18', height: '4', rx: '1' }],\n ['path', { d: 'M12 8v13' }],\n ['path', { d: 'M19 12v7a2 2 0 0 1-2 2H7a2 2 0 0 1-2-2v-7' }],\n [\n 'path',\n { d: 'M7.5 8a2.5 2.5 0 0 1 0-5A4.8 8 0 0 1 12 8a4.8 8 0 0 1 4.5-5 2.5 2.5 0 0 1 0 5' },\n ],\n ],\n];\n\nexport default Gift;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name git-branch-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/git-branch-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GitBranchPlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 3v12' }],\n ['path', { d: 'M18 9a3 3 0 1 0 0-6 3 3 0 0 0 0 6z' }],\n ['path', { d: 'M6 21a3 3 0 1 0 0-6 3 3 0 0 0 0 6z' }],\n ['path', { d: 'M15 6a9 9 0 0 0-9 9' }],\n ['path', { d: 'M18 15v6' }],\n ['path', { d: 'M21 18h-6' }],\n ],\n];\n\nexport default GitBranchPlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name git-branch\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/git-branch\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GitBranch: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '6', x2: '6', y1: '3', y2: '15' }],\n ['circle', { cx: '18', cy: '6', r: '3' }],\n ['circle', { cx: '6', cy: '18', r: '3' }],\n ['path', { d: 'M18 9a9 9 0 0 1-9 9' }],\n ],\n];\n\nexport default GitBranch;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name git-commit-horizontal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/git-commit-horizontal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GitCommitHorizontal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '3' }],\n ['line', { x1: '3', x2: '9', y1: '12', y2: '12' }],\n ['line', { x1: '15', x2: '21', y1: '12', y2: '12' }],\n ],\n];\n\nexport default GitCommitHorizontal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name git-commit-vertical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/git-commit-vertical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GitCommitVertical: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 3v6' }],\n ['circle', { cx: '12', cy: '12', r: '3' }],\n ['path', { d: 'M12 15v6' }],\n ],\n];\n\nexport default GitCommitVertical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name git-compare-arrows\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/git-compare-arrows\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GitCompareArrows: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '5', cy: '6', r: '3' }],\n ['path', { d: 'M12 6h5a2 2 0 0 1 2 2v7' }],\n ['path', { d: 'm15 9-3-3 3-3' }],\n ['circle', { cx: '19', cy: '18', r: '3' }],\n ['path', { d: 'M12 18H7a2 2 0 0 1-2-2V9' }],\n ['path', { d: 'm9 15 3 3-3 3' }],\n ],\n];\n\nexport default GitCompareArrows;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name git-compare\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/git-compare\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GitCompare: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '18', cy: '18', r: '3' }],\n ['circle', { cx: '6', cy: '6', r: '3' }],\n ['path', { d: 'M13 6h3a2 2 0 0 1 2 2v7' }],\n ['path', { d: 'M11 18H8a2 2 0 0 1-2-2V9' }],\n ],\n];\n\nexport default GitCompare;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name git-fork\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/git-fork\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GitFork: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '18', r: '3' }],\n ['circle', { cx: '6', cy: '6', r: '3' }],\n ['circle', { cx: '18', cy: '6', r: '3' }],\n ['path', { d: 'M18 9v2c0 .6-.4 1-1 1H7c-.6 0-1-.4-1-1V9' }],\n ['path', { d: 'M12 12v3' }],\n ],\n];\n\nexport default GitFork;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name git-graph\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/git-graph\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GitGraph: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '5', cy: '6', r: '3' }],\n ['path', { d: 'M5 9v6' }],\n ['circle', { cx: '5', cy: '18', r: '3' }],\n ['path', { d: 'M12 3v18' }],\n ['circle', { cx: '19', cy: '6', r: '3' }],\n ['path', { d: 'M16 15.7A9 9 0 0 0 19 9' }],\n ],\n];\n\nexport default GitGraph;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name git-merge\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/git-merge\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GitMerge: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '18', cy: '18', r: '3' }],\n ['circle', { cx: '6', cy: '6', r: '3' }],\n ['path', { d: 'M6 21V9a9 9 0 0 0 9 9' }],\n ],\n];\n\nexport default GitMerge;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name git-pull-request-arrow\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/git-pull-request-arrow\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GitPullRequestArrow: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '5', cy: '6', r: '3' }],\n ['path', { d: 'M5 9v12' }],\n ['circle', { cx: '19', cy: '18', r: '3' }],\n ['path', { d: 'm15 9-3-3 3-3' }],\n ['path', { d: 'M12 6h5a2 2 0 0 1 2 2v7' }],\n ],\n];\n\nexport default GitPullRequestArrow;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name git-pull-request-closed\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/git-pull-request-closed\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GitPullRequestClosed: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '6', cy: '6', r: '3' }],\n ['path', { d: 'M6 9v12' }],\n ['path', { d: 'm21 3-6 6' }],\n ['path', { d: 'm21 9-6-6' }],\n ['path', { d: 'M18 11.5V15' }],\n ['circle', { cx: '18', cy: '18', r: '3' }],\n ],\n];\n\nexport default GitPullRequestClosed;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name git-pull-request-create-arrow\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/git-pull-request-create-arrow\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GitPullRequestCreateArrow: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '5', cy: '6', r: '3' }],\n ['path', { d: 'M5 9v12' }],\n ['path', { d: 'm15 9-3-3 3-3' }],\n ['path', { d: 'M12 6h5a2 2 0 0 1 2 2v3' }],\n ['path', { d: 'M19 15v6' }],\n ['path', { d: 'M22 18h-6' }],\n ],\n];\n\nexport default GitPullRequestCreateArrow;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name git-pull-request-create\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/git-pull-request-create\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GitPullRequestCreate: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '6', cy: '6', r: '3' }],\n ['path', { d: 'M6 9v12' }],\n ['path', { d: 'M13 6h3a2 2 0 0 1 2 2v3' }],\n ['path', { d: 'M18 15v6' }],\n ['path', { d: 'M21 18h-6' }],\n ],\n];\n\nexport default GitPullRequestCreate;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name git-pull-request-draft\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/git-pull-request-draft\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GitPullRequestDraft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '18', cy: '18', r: '3' }],\n ['circle', { cx: '6', cy: '6', r: '3' }],\n ['path', { d: 'M18 6V5' }],\n ['path', { d: 'M18 11v-1' }],\n ['line', { x1: '6', x2: '6', y1: '9', y2: '21' }],\n ],\n];\n\nexport default GitPullRequestDraft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name git-pull-request\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/git-pull-request\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GitPullRequest: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '18', cy: '18', r: '3' }],\n ['circle', { cx: '6', cy: '6', r: '3' }],\n ['path', { d: 'M13 6h3a2 2 0 0 1 2 2v7' }],\n ['line', { x1: '6', x2: '6', y1: '9', y2: '21' }],\n ],\n];\n\nexport default GitPullRequest;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name github\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/github\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n * @deprecated Brand icons have been deprecated and are due to be removed, please refer to https://github.com/lucide-icons/lucide/issues/670. We recommend using https://simpleicons.org/?q=github instead. This icon will be removed in v1.0\n */\nconst Github: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M15 22v-4a4.8 4.8 0 0 0-1-3.5c3 0 6-2 6-5.5.08-1.25-.27-2.48-1-3.5.28-1.15.28-2.35 0-3.5 0 0-1 0-3 1.5-2.64-.5-5.36-.5-8 0C6 2 5 2 5 2c-.3 1.15-.3 2.35 0 3.5A5.403 5.403 0 0 0 4 9c0 3.5 3 5.5 6 5.5-.39.49-.68 1.05-.85 1.65-.17.6-.22 1.23-.15 1.85v4',\n },\n ],\n ['path', { d: 'M9 18c-4.51 2-5-2-7-2' }],\n ],\n];\n\nexport default Github;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name gitlab\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/gitlab\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n * @deprecated Brand icons have been deprecated and are due to be removed, please refer to https://github.com/lucide-icons/lucide/issues/670. We recommend using https://simpleicons.org/?q=gitlab instead. This icon will be removed in v1.0\n */\nconst Gitlab: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm22 13.29-3.33-10a.42.42 0 0 0-.14-.18.38.38 0 0 0-.22-.11.39.39 0 0 0-.23.07.42.42 0 0 0-.14.18l-2.26 6.67H8.32L6.1 3.26a.42.42 0 0 0-.1-.18.38.38 0 0 0-.26-.08.39.39 0 0 0-.23.07.42.42 0 0 0-.14.18L2 13.29a.74.74 0 0 0 .27.83L12 21l9.69-6.88a.71.71 0 0 0 .31-.83Z',\n },\n ],\n ],\n];\n\nexport default Gitlab;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name glass-water\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/glass-water\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GlassWater: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15.2 22H8.8a2 2 0 0 1-2-1.79L5 3h14l-1.81 17.21A2 2 0 0 1 15.2 22Z' }],\n ['path', { d: 'M6 12a5 5 0 0 1 6 0 5 5 0 0 0 6 0' }],\n ],\n];\n\nexport default GlassWater;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name glasses\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/glasses\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Glasses: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '6', cy: '15', r: '4' }],\n ['circle', { cx: '18', cy: '15', r: '4' }],\n ['path', { d: 'M14 15a2 2 0 0 0-2-2 2 2 0 0 0-2 2' }],\n ['path', { d: 'M2.5 13 5 7c.7-1.3 1.4-2 3-2' }],\n ['path', { d: 'M21.5 13 19 7c-.7-1.3-1.5-2-3-2' }],\n ],\n];\n\nexport default Glasses;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name globe-lock\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/globe-lock\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GlobeLock: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15.686 15A14.5 14.5 0 0 1 12 22a14.5 14.5 0 0 1 0-20 10 10 0 1 0 9.542 13' }],\n ['path', { d: 'M2 12h8.5' }],\n ['path', { d: 'M20 6V4a2 2 0 1 0-4 0v2' }],\n ['rect', { width: '8', height: '5', x: '14', y: '6', rx: '1' }],\n ],\n];\n\nexport default GlobeLock;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name globe\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/globe\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Globe: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M12 2a14.5 14.5 0 0 0 0 20 14.5 14.5 0 0 0 0-20' }],\n ['path', { d: 'M2 12h20' }],\n ],\n];\n\nexport default Globe;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name goal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/goal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Goal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 13V2l8 4-8 4' }],\n ['path', { d: 'M20.561 10.222a9 9 0 1 1-12.55-5.29' }],\n ['path', { d: 'M8.002 9.997a5 5 0 1 0 8.9 2.02' }],\n ],\n];\n\nexport default Goal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name grab\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/grab\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Grab: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18 11.5V9a2 2 0 0 0-2-2a2 2 0 0 0-2 2v1.4' }],\n ['path', { d: 'M14 10V8a2 2 0 0 0-2-2a2 2 0 0 0-2 2v2' }],\n ['path', { d: 'M10 9.9V9a2 2 0 0 0-2-2a2 2 0 0 0-2 2v5' }],\n ['path', { d: 'M6 14a2 2 0 0 0-2-2a2 2 0 0 0-2 2' }],\n ['path', { d: 'M18 11a2 2 0 1 1 4 0v3a8 8 0 0 1-8 8h-4a8 8 0 0 1-8-8 2 2 0 1 1 4 0' }],\n ],\n];\n\nexport default Grab;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name graduation-cap\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/graduation-cap\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GraduationCap: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M21.42 10.922a1 1 0 0 0-.019-1.838L12.83 5.18a2 2 0 0 0-1.66 0L2.6 9.08a1 1 0 0 0 0 1.832l8.57 3.908a2 2 0 0 0 1.66 0z',\n },\n ],\n ['path', { d: 'M22 10v6' }],\n ['path', { d: 'M6 12.5V16a6 3 0 0 0 12 0v-3.5' }],\n ],\n];\n\nexport default GraduationCap;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name grape\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/grape\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Grape: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M22 5V2l-5.89 5.89' }],\n ['circle', { cx: '16.6', cy: '15.89', r: '3' }],\n ['circle', { cx: '8.11', cy: '7.4', r: '3' }],\n ['circle', { cx: '12.35', cy: '11.65', r: '3' }],\n ['circle', { cx: '13.91', cy: '5.85', r: '3' }],\n ['circle', { cx: '18.15', cy: '10.09', r: '3' }],\n ['circle', { cx: '6.56', cy: '13.2', r: '3' }],\n ['circle', { cx: '10.8', cy: '17.44', r: '3' }],\n ['circle', { cx: '5', cy: '19', r: '3' }],\n ],\n];\n\nexport default Grape;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name grid-2x2-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/grid-2x2-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Grid2x2Check: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M12 3v17a1 1 0 0 1-1 1H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2v6a1 1 0 0 1-1 1H3',\n },\n ],\n ['path', { d: 'm16 19 2 2 4-4' }],\n ],\n];\n\nexport default Grid2x2Check;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name grid-2x2-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/grid-2x2-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Grid2x2X: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M12 3v17a1 1 0 0 1-1 1H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2v6a1 1 0 0 1-1 1H3',\n },\n ],\n ['path', { d: 'm16 16 5 5' }],\n ['path', { d: 'm16 21 5-5' }],\n ],\n];\n\nexport default Grid2x2X;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name grid-2x2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/grid-2x2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Grid2x2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M3 12h18' }],\n ['path', { d: 'M12 3v18' }],\n ],\n];\n\nexport default Grid2x2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name grid-3x3\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/grid-3x3\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Grid3x3: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M3 9h18' }],\n ['path', { d: 'M3 15h18' }],\n ['path', { d: 'M9 3v18' }],\n ['path', { d: 'M15 3v18' }],\n ],\n];\n\nexport default Grid3x3;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name grip-horizontal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/grip-horizontal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GripHorizontal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '9', r: '1' }],\n ['circle', { cx: '19', cy: '9', r: '1' }],\n ['circle', { cx: '5', cy: '9', r: '1' }],\n ['circle', { cx: '12', cy: '15', r: '1' }],\n ['circle', { cx: '19', cy: '15', r: '1' }],\n ['circle', { cx: '5', cy: '15', r: '1' }],\n ],\n];\n\nexport default GripHorizontal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name grip-vertical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/grip-vertical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst GripVertical: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '9', cy: '12', r: '1' }],\n ['circle', { cx: '9', cy: '5', r: '1' }],\n ['circle', { cx: '9', cy: '19', r: '1' }],\n ['circle', { cx: '15', cy: '12', r: '1' }],\n ['circle', { cx: '15', cy: '5', r: '1' }],\n ['circle', { cx: '15', cy: '19', r: '1' }],\n ],\n];\n\nexport default GripVertical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name grip\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/grip\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Grip: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '5', r: '1' }],\n ['circle', { cx: '19', cy: '5', r: '1' }],\n ['circle', { cx: '5', cy: '5', r: '1' }],\n ['circle', { cx: '12', cy: '12', r: '1' }],\n ['circle', { cx: '19', cy: '12', r: '1' }],\n ['circle', { cx: '5', cy: '12', r: '1' }],\n ['circle', { cx: '12', cy: '19', r: '1' }],\n ['circle', { cx: '19', cy: '19', r: '1' }],\n ['circle', { cx: '5', cy: '19', r: '1' }],\n ],\n];\n\nexport default Grip;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name group\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/group\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Group: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 7V5c0-1.1.9-2 2-2h2' }],\n ['path', { d: 'M17 3h2c1.1 0 2 .9 2 2v2' }],\n ['path', { d: 'M21 17v2c0 1.1-.9 2-2 2h-2' }],\n ['path', { d: 'M7 21H5c-1.1 0-2-.9-2-2v-2' }],\n ['rect', { width: '7', height: '5', x: '7', y: '7', rx: '1' }],\n ['rect', { width: '7', height: '5', x: '10', y: '12', rx: '1' }],\n ],\n];\n\nexport default Group;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name guitar\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/guitar\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Guitar: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm11.9 12.1 4.514-4.514' }],\n [\n 'path',\n {\n d: 'M20.1 2.3a1 1 0 0 0-1.4 0l-1.114 1.114A2 2 0 0 0 17 4.828v1.344a2 2 0 0 1-.586 1.414A2 2 0 0 1 17.828 7h1.344a2 2 0 0 0 1.414-.586L21.7 5.3a1 1 0 0 0 0-1.4z',\n },\n ],\n ['path', { d: 'm6 16 2 2' }],\n [\n 'path',\n {\n d: 'M8.2 9.9C8.7 8.8 9.8 8 11 8c2.8 0 5 2.2 5 5 0 1.2-.8 2.3-1.9 2.8l-.9.4A2 2 0 0 0 12 18a4 4 0 0 1-4 4c-3.3 0-6-2.7-6-6a4 4 0 0 1 4-4 2 2 0 0 0 1.8-1.2z',\n },\n ],\n ['circle', { cx: '11.5', cy: '12.5', r: '.5', fill: 'currentColor' }],\n ],\n];\n\nexport default Guitar;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ham\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ham\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Ham: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13.144 21.144A7.274 10.445 45 1 0 2.856 10.856' }],\n [\n 'path',\n { d: 'M13.144 21.144A7.274 4.365 45 0 0 2.856 10.856a7.274 4.365 45 0 0 10.288 10.288' },\n ],\n [\n 'path',\n {\n d: 'M16.565 10.435 18.6 8.4a2.501 2.501 0 1 0 1.65-4.65 2.5 2.5 0 1 0-4.66 1.66l-2.024 2.025',\n },\n ],\n ['path', { d: 'm8.5 16.5-1-1' }],\n ],\n];\n\nexport default Ham;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name hammer\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/hammer\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Hammer: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm15 12-8.373 8.373a1 1 0 1 1-3-3L12 9' }],\n ['path', { d: 'm18 15 4-4' }],\n [\n 'path',\n {\n d: 'm21.5 11.5-1.914-1.914A2 2 0 0 1 19 8.172V7l-2.26-2.26a6 6 0 0 0-4.202-1.756L9 2.96l.92.82A6.18 6.18 0 0 1 12 8.4V10l2 2h1.172a2 2 0 0 1 1.414.586L18.5 14.5',\n },\n ],\n ],\n];\n\nexport default Hammer;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name hand-coins\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/hand-coins\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst HandCoins: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11 15h2a2 2 0 1 0 0-4h-3c-.6 0-1.1.2-1.4.6L3 17' }],\n [\n 'path',\n {\n d: 'm7 21 1.6-1.4c.3-.4.8-.6 1.4-.6h4c1.1 0 2.1-.4 2.8-1.2l4.6-4.4a2 2 0 0 0-2.75-2.91l-4.2 3.9',\n },\n ],\n ['path', { d: 'm2 16 6 6' }],\n ['circle', { cx: '16', cy: '9', r: '2.9' }],\n ['circle', { cx: '6', cy: '5', r: '3' }],\n ],\n];\n\nexport default HandCoins;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name hand-heart\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/hand-heart\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst HandHeart: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11 14h2a2 2 0 1 0 0-4h-3c-.6 0-1.1.2-1.4.6L3 16' }],\n [\n 'path',\n {\n d: 'm7 20 1.6-1.4c.3-.4.8-.6 1.4-.6h4c1.1 0 2.1-.4 2.8-1.2l4.6-4.4a2 2 0 0 0-2.75-2.91l-4.2 3.9',\n },\n ],\n ['path', { d: 'm2 15 6 6' }],\n [\n 'path',\n {\n d: 'M19.5 8.5c.7-.7 1.5-1.6 1.5-2.7A2.73 2.73 0 0 0 16 4a2.78 2.78 0 0 0-5 1.8c0 1.2.8 2 1.5 2.8L16 12Z',\n },\n ],\n ],\n];\n\nexport default HandHeart;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name hand-helping\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/hand-helping\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst HandHelping: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11 12h2a2 2 0 1 0 0-4h-3c-.6 0-1.1.2-1.4.6L3 14' }],\n [\n 'path',\n {\n d: 'm7 18 1.6-1.4c.3-.4.8-.6 1.4-.6h4c1.1 0 2.1-.4 2.8-1.2l4.6-4.4a2 2 0 0 0-2.75-2.91l-4.2 3.9',\n },\n ],\n ['path', { d: 'm2 13 6 6' }],\n ],\n];\n\nexport default HandHelping;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name hand-metal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/hand-metal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst HandMetal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18 12.5V10a2 2 0 0 0-2-2a2 2 0 0 0-2 2v1.4' }],\n ['path', { d: 'M14 11V9a2 2 0 1 0-4 0v2' }],\n ['path', { d: 'M10 10.5V5a2 2 0 1 0-4 0v9' }],\n [\n 'path',\n {\n d: 'm7 15-1.76-1.76a2 2 0 0 0-2.83 2.82l3.6 3.6C7.5 21.14 9.2 22 12 22h2a8 8 0 0 0 8-8V7a2 2 0 1 0-4 0v5',\n },\n ],\n ],\n];\n\nexport default HandMetal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name hand-platter\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/hand-platter\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst HandPlatter: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 3V2' }],\n ['path', { d: 'M5 10a7.1 7.1 0 0 1 14 0' }],\n ['path', { d: 'M4 10h16' }],\n ['path', { d: 'M2 14h12a2 2 0 1 1 0 4h-2' }],\n [\n 'path',\n {\n d: 'm15.4 17.4 3.2-2.8a2 2 0 0 1 2.8 2.9l-3.6 3.3c-.7.8-1.7 1.2-2.8 1.2h-4c-1.1 0-2.1-.4-2.8-1.2L5 18',\n },\n ],\n ['path', { d: 'M5 14v7H2' }],\n ],\n];\n\nexport default HandPlatter;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name hand\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/hand\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Hand: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18 11V6a2 2 0 0 0-2-2a2 2 0 0 0-2 2' }],\n ['path', { d: 'M14 10V4a2 2 0 0 0-2-2a2 2 0 0 0-2 2v2' }],\n ['path', { d: 'M10 10.5V6a2 2 0 0 0-2-2a2 2 0 0 0-2 2v8' }],\n [\n 'path',\n {\n d: 'M18 8a2 2 0 1 1 4 0v6a8 8 0 0 1-8 8h-2c-2.8 0-4.5-.86-5.99-2.34l-3.6-3.6a2 2 0 0 1 2.83-2.82L7 15',\n },\n ],\n ],\n];\n\nexport default Hand;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name handshake\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/handshake\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Handshake: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm11 17 2 2a1 1 0 1 0 3-3' }],\n [\n 'path',\n {\n d: 'm14 14 2.5 2.5a1 1 0 1 0 3-3l-3.88-3.88a3 3 0 0 0-4.24 0l-.88.88a1 1 0 1 1-3-3l2.81-2.81a5.79 5.79 0 0 1 7.06-.87l.47.28a2 2 0 0 0 1.42.25L21 4',\n },\n ],\n ['path', { d: 'm21 3 1 11h-2' }],\n ['path', { d: 'M3 3 2 14l6.5 6.5a1 1 0 1 0 3-3' }],\n ['path', { d: 'M3 4h8' }],\n ],\n];\n\nexport default Handshake;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name hard-drive-download\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/hard-drive-download\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst HardDriveDownload: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 2v8' }],\n ['path', { d: 'm16 6-4 4-4-4' }],\n ['rect', { width: '20', height: '8', x: '2', y: '14', rx: '2' }],\n ['path', { d: 'M6 18h.01' }],\n ['path', { d: 'M10 18h.01' }],\n ],\n];\n\nexport default HardDriveDownload;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name hard-drive-upload\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/hard-drive-upload\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst HardDriveUpload: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm16 6-4-4-4 4' }],\n ['path', { d: 'M12 2v8' }],\n ['rect', { width: '20', height: '8', x: '2', y: '14', rx: '2' }],\n ['path', { d: 'M6 18h.01' }],\n ['path', { d: 'M10 18h.01' }],\n ],\n];\n\nexport default HardDriveUpload;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name hard-drive\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/hard-drive\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst HardDrive: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '22', x2: '2', y1: '12', y2: '12' }],\n [\n 'path',\n {\n d: 'M5.45 5.11 2 12v6a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2v-6l-3.45-6.89A2 2 0 0 0 16.76 4H7.24a2 2 0 0 0-1.79 1.11z',\n },\n ],\n ['line', { x1: '6', x2: '6.01', y1: '16', y2: '16' }],\n ['line', { x1: '10', x2: '10.01', y1: '16', y2: '16' }],\n ],\n];\n\nexport default HardDrive;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name hard-hat\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/hard-hat\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst HardHat: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 18a1 1 0 0 0 1 1h18a1 1 0 0 0 1-1v-2a1 1 0 0 0-1-1H3a1 1 0 0 0-1 1v2z' }],\n ['path', { d: 'M10 10V5a1 1 0 0 1 1-1h2a1 1 0 0 1 1 1v5' }],\n ['path', { d: 'M4 15v-3a6 6 0 0 1 6-6' }],\n ['path', { d: 'M14 6a6 6 0 0 1 6 6v3' }],\n ],\n];\n\nexport default HardHat;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name hash\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/hash\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Hash: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '4', x2: '20', y1: '9', y2: '9' }],\n ['line', { x1: '4', x2: '20', y1: '15', y2: '15' }],\n ['line', { x1: '10', x2: '8', y1: '3', y2: '21' }],\n ['line', { x1: '16', x2: '14', y1: '3', y2: '21' }],\n ],\n];\n\nexport default Hash;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name haze\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/haze\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Haze: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm5.2 6.2 1.4 1.4' }],\n ['path', { d: 'M2 13h2' }],\n ['path', { d: 'M20 13h2' }],\n ['path', { d: 'm17.4 7.6 1.4-1.4' }],\n ['path', { d: 'M22 17H2' }],\n ['path', { d: 'M22 21H2' }],\n ['path', { d: 'M16 13a4 4 0 0 0-8 0' }],\n ['path', { d: 'M12 5V2.5' }],\n ],\n];\n\nexport default Haze;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name hdmi-port\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/hdmi-port\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst HdmiPort: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n { d: 'M22 9a1 1 0 0 0-1-1H3a1 1 0 0 0-1 1v4a1 1 0 0 0 1 1h1l2 2h12l2-2h1a1 1 0 0 0 1-1Z' },\n ],\n ['path', { d: 'M7.5 12h9' }],\n ],\n];\n\nexport default HdmiPort;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name heading-1\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/heading-1\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Heading1: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 12h8' }],\n ['path', { d: 'M4 18V6' }],\n ['path', { d: 'M12 18V6' }],\n ['path', { d: 'm17 12 3-2v8' }],\n ],\n];\n\nexport default Heading1;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name heading-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/heading-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Heading2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 12h8' }],\n ['path', { d: 'M4 18V6' }],\n ['path', { d: 'M12 18V6' }],\n ['path', { d: 'M21 18h-4c0-4 4-3 4-6 0-1.5-2-2.5-4-1' }],\n ],\n];\n\nexport default Heading2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name heading-3\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/heading-3\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Heading3: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 12h8' }],\n ['path', { d: 'M4 18V6' }],\n ['path', { d: 'M12 18V6' }],\n ['path', { d: 'M17.5 10.5c1.7-1 3.5 0 3.5 1.5a2 2 0 0 1-2 2' }],\n ['path', { d: 'M17 17.5c2 1.5 4 .3 4-1.5a2 2 0 0 0-2-2' }],\n ],\n];\n\nexport default Heading3;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name heading-4\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/heading-4\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Heading4: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 12h8' }],\n ['path', { d: 'M4 18V6' }],\n ['path', { d: 'M12 18V6' }],\n ['path', { d: 'M17 10v4h4' }],\n ['path', { d: 'M21 10v8' }],\n ],\n];\n\nexport default Heading4;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name heading-5\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/heading-5\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Heading5: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 12h8' }],\n ['path', { d: 'M4 18V6' }],\n ['path', { d: 'M12 18V6' }],\n ['path', { d: 'M17 13v-3h4' }],\n ['path', { d: 'M17 17.7c.4.2.8.3 1.3.3 1.5 0 2.7-1.1 2.7-2.5S19.8 13 18.3 13H17' }],\n ],\n];\n\nexport default Heading5;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name heading-6\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/heading-6\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Heading6: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 12h8' }],\n ['path', { d: 'M4 18V6' }],\n ['path', { d: 'M12 18V6' }],\n ['circle', { cx: '19', cy: '16', r: '2' }],\n ['path', { d: 'M20 10c-2 2-3 3.5-3 6' }],\n ],\n];\n\nexport default Heading6;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name heading\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/heading\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Heading: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 12h12' }],\n ['path', { d: 'M6 20V4' }],\n ['path', { d: 'M18 20V4' }],\n ],\n];\n\nexport default Heading;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name headphones\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/headphones\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Headphones: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3 14h3a2 2 0 0 1 2 2v3a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-7a9 9 0 0 1 18 0v7a2 2 0 0 1-2 2h-1a2 2 0 0 1-2-2v-3a2 2 0 0 1 2-2h3',\n },\n ],\n ],\n];\n\nexport default Headphones;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name headset\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/headset\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Headset: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3 11h3a2 2 0 0 1 2 2v3a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-5Zm0 0a9 9 0 1 1 18 0m0 0v5a2 2 0 0 1-2 2h-1a2 2 0 0 1-2-2v-3a2 2 0 0 1 2-2h3Z',\n },\n ],\n ['path', { d: 'M21 16v2a4 4 0 0 1-4 4h-5' }],\n ],\n];\n\nexport default Headset;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name heart-crack\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/heart-crack\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst HeartCrack: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M19 14c1.49-1.46 3-3.21 3-5.5A5.5 5.5 0 0 0 16.5 3c-1.76 0-3 .5-4.5 2-1.5-1.5-2.74-2-4.5-2A5.5 5.5 0 0 0 2 8.5c0 2.3 1.5 4.05 3 5.5l7 7Z',\n },\n ],\n ['path', { d: 'm12 13-1-1 2-2-3-3 2-2' }],\n ],\n];\n\nexport default HeartCrack;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name heart-handshake\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/heart-handshake\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst HeartHandshake: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M19 14c1.49-1.46 3-3.21 3-5.5A5.5 5.5 0 0 0 16.5 3c-1.76 0-3 .5-4.5 2-1.5-1.5-2.74-2-4.5-2A5.5 5.5 0 0 0 2 8.5c0 2.3 1.5 4.05 3 5.5l7 7Z',\n },\n ],\n [\n 'path',\n {\n d: 'M12 5 9.04 7.96a2.17 2.17 0 0 0 0 3.08c.82.82 2.13.85 3 .07l2.07-1.9a2.82 2.82 0 0 1 3.79 0l2.96 2.66',\n },\n ],\n ['path', { d: 'm18 15-2-2' }],\n ['path', { d: 'm15 18-2-2' }],\n ],\n];\n\nexport default HeartHandshake;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name heart-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/heart-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst HeartOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '2', y1: '2', x2: '22', y2: '22' }],\n ['path', { d: 'M16.5 16.5 12 21l-7-7c-1.5-1.45-3-3.2-3-5.5a5.5 5.5 0 0 1 2.14-4.35' }],\n [\n 'path',\n {\n d: 'M8.76 3.1c1.15.22 2.13.78 3.24 1.9 1.5-1.5 2.74-2 4.5-2A5.5 5.5 0 0 1 22 8.5c0 2.12-1.3 3.78-2.67 5.17',\n },\n ],\n ],\n];\n\nexport default HeartOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name heart-pulse\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/heart-pulse\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst HeartPulse: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M19 14c1.49-1.46 3-3.21 3-5.5A5.5 5.5 0 0 0 16.5 3c-1.76 0-3 .5-4.5 2-1.5-1.5-2.74-2-4.5-2A5.5 5.5 0 0 0 2 8.5c0 2.3 1.5 4.05 3 5.5l7 7Z',\n },\n ],\n ['path', { d: 'M3.22 12H9.5l.5-1 2 4.5 2-7 1.5 3.5h5.27' }],\n ],\n];\n\nexport default HeartPulse;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name heart\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/heart\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Heart: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M19 14c1.49-1.46 3-3.21 3-5.5A5.5 5.5 0 0 0 16.5 3c-1.76 0-3 .5-4.5 2-1.5-1.5-2.74-2-4.5-2A5.5 5.5 0 0 0 2 8.5c0 2.3 1.5 4.05 3 5.5l7 7Z',\n },\n ],\n ],\n];\n\nexport default Heart;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name heater\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/heater\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Heater: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11 8c2-3-2-3 0-6' }],\n ['path', { d: 'M15.5 8c2-3-2-3 0-6' }],\n ['path', { d: 'M6 10h.01' }],\n ['path', { d: 'M6 14h.01' }],\n ['path', { d: 'M10 16v-4' }],\n ['path', { d: 'M14 16v-4' }],\n ['path', { d: 'M18 16v-4' }],\n ['path', { d: 'M20 6a2 2 0 0 1 2 2v10a2 2 0 0 1-2 2H4a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h3' }],\n ['path', { d: 'M5 20v2' }],\n ['path', { d: 'M19 20v2' }],\n ],\n];\n\nexport default Heater;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name hexagon\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/hexagon\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Hexagon: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M21 16V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16z',\n },\n ],\n ],\n];\n\nexport default Hexagon;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name highlighter\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/highlighter\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Highlighter: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm9 11-6 6v3h9l3-3' }],\n ['path', { d: 'm22 12-4.6 4.6a2 2 0 0 1-2.8 0l-5.2-5.2a2 2 0 0 1 0-2.8L14 4' }],\n ],\n];\n\nexport default Highlighter;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name history\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/history\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst History: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 12a9 9 0 1 0 9-9 9.75 9.75 0 0 0-6.74 2.74L3 8' }],\n ['path', { d: 'M3 3v5h5' }],\n ['path', { d: 'M12 7v5l4 2' }],\n ],\n];\n\nexport default History;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name hop-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/hop-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst HopOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10.82 16.12c1.69.6 3.91.79 5.18.85.28.01.53-.09.7-.27' }],\n [\n 'path',\n { d: 'M11.14 20.57c.52.24 2.44 1.12 4.08 1.37.46.06.86-.25.9-.71.12-1.52-.3-3.43-.5-4.28' },\n ],\n ['path', { d: 'M16.13 21.05c1.65.63 3.68.84 4.87.91a.9.9 0 0 0 .7-.26' }],\n [\n 'path',\n { d: 'M17.99 5.52a20.83 20.83 0 0 1 3.15 4.5.8.8 0 0 1-.68 1.13c-1.17.1-2.5.02-3.9-.25' },\n ],\n ['path', { d: 'M20.57 11.14c.24.52 1.12 2.44 1.37 4.08.04.3-.08.59-.31.75' }],\n [\n 'path',\n {\n d: 'M4.93 4.93a10 10 0 0 0-.67 13.4c.35.43.96.4 1.17-.12.69-1.71 1.07-5.07 1.07-6.71 1.34.45 3.1.9 4.88.62a.85.85 0 0 0 .48-.24',\n },\n ],\n [\n 'path',\n { d: 'M5.52 17.99c1.05.95 2.91 2.42 4.5 3.15a.8.8 0 0 0 1.13-.68c.2-2.34-.33-5.3-1.57-8.28' },\n ],\n ['path', { d: 'M8.35 2.68a10 10 0 0 1 9.98 1.58c.43.35.4.96-.12 1.17-1.5.6-4.3.98-6.07 1.05' }],\n ['path', { d: 'm2 2 20 20' }],\n ],\n];\n\nexport default HopOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name hop\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/hop\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Hop: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n { d: 'M10.82 16.12c1.69.6 3.91.79 5.18.85.55.03 1-.42.97-.97-.06-1.27-.26-3.5-.85-5.18' },\n ],\n [\n 'path',\n {\n d: 'M11.5 6.5c1.64 0 5-.38 6.71-1.07.52-.2.55-.82.12-1.17A10 10 0 0 0 4.26 18.33c.35.43.96.4 1.17-.12.69-1.71 1.07-5.07 1.07-6.71 1.34.45 3.1.9 4.88.62a.88.88 0 0 0 .73-.74c.3-2.14-.15-3.5-.61-4.88',\n },\n ],\n [\n 'path',\n { d: 'M15.62 16.95c.2.85.62 2.76.5 4.28a.77.77 0 0 1-.9.7 16.64 16.64 0 0 1-4.08-1.36' },\n ],\n [\n 'path',\n { d: 'M16.13 21.05c1.65.63 3.68.84 4.87.91a.9.9 0 0 0 .96-.96 17.68 17.68 0 0 0-.9-4.87' },\n ],\n [\n 'path',\n { d: 'M16.94 15.62c.86.2 2.77.62 4.29.5a.77.77 0 0 0 .7-.9 16.64 16.64 0 0 0-1.36-4.08' },\n ],\n [\n 'path',\n { d: 'M17.99 5.52a20.82 20.82 0 0 1 3.15 4.5.8.8 0 0 1-.68 1.13c-2.33.2-5.3-.32-8.27-1.57' },\n ],\n ['path', { d: 'M4.93 4.93 3 3a.7.7 0 0 1 0-1' }],\n [\n 'path',\n {\n d: 'M9.58 12.18c1.24 2.98 1.77 5.95 1.57 8.28a.8.8 0 0 1-1.13.68 20.82 20.82 0 0 1-4.5-3.15',\n },\n ],\n ],\n];\n\nexport default Hop;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name hospital\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/hospital\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Hospital: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 6v4' }],\n ['path', { d: 'M14 14h-4' }],\n ['path', { d: 'M14 18h-4' }],\n ['path', { d: 'M14 8h-4' }],\n ['path', { d: 'M18 12h2a2 2 0 0 1 2 2v6a2 2 0 0 1-2 2H4a2 2 0 0 1-2-2v-9a2 2 0 0 1 2-2h2' }],\n ['path', { d: 'M18 22V4a2 2 0 0 0-2-2H8a2 2 0 0 0-2 2v18' }],\n ],\n];\n\nexport default Hospital;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name hotel\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/hotel\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Hotel: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 22v-6.57' }],\n ['path', { d: 'M12 11h.01' }],\n ['path', { d: 'M12 7h.01' }],\n ['path', { d: 'M14 15.43V22' }],\n ['path', { d: 'M15 16a5 5 0 0 0-6 0' }],\n ['path', { d: 'M16 11h.01' }],\n ['path', { d: 'M16 7h.01' }],\n ['path', { d: 'M8 11h.01' }],\n ['path', { d: 'M8 7h.01' }],\n ['rect', { x: '4', y: '2', width: '16', height: '20', rx: '2' }],\n ],\n];\n\nexport default Hotel;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name hourglass\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/hourglass\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Hourglass: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5 22h14' }],\n ['path', { d: 'M5 2h14' }],\n ['path', { d: 'M17 22v-4.172a2 2 0 0 0-.586-1.414L12 12l-4.414 4.414A2 2 0 0 0 7 17.828V22' }],\n ['path', { d: 'M7 2v4.172a2 2 0 0 0 .586 1.414L12 12l4.414-4.414A2 2 0 0 0 17 6.172V2' }],\n ],\n];\n\nexport default Hourglass;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name house-plug\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/house-plug\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst HousePlug: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 12V8.964' }],\n ['path', { d: 'M14 12V8.964' }],\n ['path', { d: 'M15 12a1 1 0 0 1 1 1v2a2 2 0 0 1-2 2h-4a2 2 0 0 1-2-2v-2a1 1 0 0 1 1-1z' }],\n [\n 'path',\n {\n d: 'M8.5 21H5a2 2 0 0 1-2-2v-9a2 2 0 0 1 .709-1.528l7-5.999a2 2 0 0 1 2.582 0l7 5.999A2 2 0 0 1 21 10v9a2 2 0 0 1-2 2h-5a2 2 0 0 1-2-2v-2',\n },\n ],\n ],\n];\n\nexport default HousePlug;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name house-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/house-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst HousePlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M13.22 2.416a2 2 0 0 0-2.511.057l-7 5.999A2 2 0 0 0 3 10v9a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2v-7.354',\n },\n ],\n ['path', { d: 'M15 21v-8a1 1 0 0 0-1-1h-4a1 1 0 0 0-1 1v8' }],\n ['path', { d: 'M15 6h6' }],\n ['path', { d: 'M18 3v6' }],\n ],\n];\n\nexport default HousePlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name house\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/house\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst House: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 21v-8a1 1 0 0 0-1-1h-4a1 1 0 0 0-1 1v8' }],\n [\n 'path',\n {\n d: 'M3 10a2 2 0 0 1 .709-1.528l7-5.999a2 2 0 0 1 2.582 0l7 5.999A2 2 0 0 1 21 10v9a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2z',\n },\n ],\n ],\n];\n\nexport default House;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ice-cream-bowl\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ice-cream-bowl\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst IceCreamBowl: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n { d: 'M12 17c5 0 8-2.69 8-6H4c0 3.31 3 6 8 6m-4 4h8m-4-3v3M5.14 11a3.5 3.5 0 1 1 6.71 0' },\n ],\n ['path', { d: 'M12.14 11a3.5 3.5 0 1 1 6.71 0' }],\n ['path', { d: 'M15.5 6.5a3.5 3.5 0 1 0-7 0' }],\n ],\n];\n\nexport default IceCreamBowl;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ice-cream-cone\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ice-cream-cone\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst IceCreamCone: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm7 11 4.08 10.35a1 1 0 0 0 1.84 0L17 11' }],\n ['path', { d: 'M17 7A5 5 0 0 0 7 7' }],\n ['path', { d: 'M17 7a2 2 0 0 1 0 4H7a2 2 0 0 1 0-4' }],\n ],\n];\n\nexport default IceCreamCone;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name image-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/image-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ImageDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M10.3 21H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2v10l-3.1-3.1a2 2 0 0 0-2.814.014L6 21',\n },\n ],\n ['path', { d: 'm14 19 3 3v-5.5' }],\n ['path', { d: 'm17 22 3-3' }],\n ['circle', { cx: '9', cy: '9', r: '2' }],\n ],\n];\n\nexport default ImageDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name image-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/image-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ImageMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 9v10a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h7' }],\n ['line', { x1: '16', x2: '22', y1: '5', y2: '5' }],\n ['circle', { cx: '9', cy: '9', r: '2' }],\n ['path', { d: 'm21 15-3.086-3.086a2 2 0 0 0-2.828 0L6 21' }],\n ],\n];\n\nexport default ImageMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name image-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/image-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ImageOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ['path', { d: 'M10.41 10.41a2 2 0 1 1-2.83-2.83' }],\n ['line', { x1: '13.5', x2: '6', y1: '13.5', y2: '21' }],\n ['line', { x1: '18', x2: '21', y1: '12', y2: '15' }],\n ['path', { d: 'M3.59 3.59A1.99 1.99 0 0 0 3 5v14a2 2 0 0 0 2 2h14c.55 0 1.052-.22 1.41-.59' }],\n ['path', { d: 'M21 15V5a2 2 0 0 0-2-2H9' }],\n ],\n];\n\nexport default ImageOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name image-play\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/image-play\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ImagePlay: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm11 16-5 5' }],\n ['path', { d: 'M11 21H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2v6.5' }],\n [\n 'path',\n {\n d: 'M15.765 22a.5.5 0 0 1-.765-.424V13.38a.5.5 0 0 1 .765-.424l5.878 3.674a1 1 0 0 1 0 1.696z',\n },\n ],\n ['circle', { cx: '9', cy: '9', r: '2' }],\n ],\n];\n\nexport default ImagePlay;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name image-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/image-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ImagePlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 5h6' }],\n ['path', { d: 'M19 2v6' }],\n ['path', { d: 'M21 11.5V19a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h7.5' }],\n ['path', { d: 'm21 15-3.086-3.086a2 2 0 0 0-2.828 0L6 21' }],\n ['circle', { cx: '9', cy: '9', r: '2' }],\n ],\n];\n\nexport default ImagePlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name image-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/image-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ImageUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M10.3 21H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2v10l-3.1-3.1a2 2 0 0 0-2.814.014L6 21',\n },\n ],\n ['path', { d: 'm14 19.5 3-3 3 3' }],\n ['path', { d: 'M17 22v-5.5' }],\n ['circle', { cx: '9', cy: '9', r: '2' }],\n ],\n];\n\nexport default ImageUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name image\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/image\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Image: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2', ry: '2' }],\n ['circle', { cx: '9', cy: '9', r: '2' }],\n ['path', { d: 'm21 15-3.086-3.086a2 2 0 0 0-2.828 0L6 21' }],\n ],\n];\n\nexport default Image;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name images\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/images\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Images: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18 22H4a2 2 0 0 1-2-2V6' }],\n ['path', { d: 'm22 13-1.296-1.296a2.41 2.41 0 0 0-3.408 0L11 18' }],\n ['circle', { cx: '12', cy: '8', r: '2' }],\n ['rect', { width: '16', height: '16', x: '6', y: '2', rx: '2' }],\n ],\n];\n\nexport default Images;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name import\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/import\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Import: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 3v12' }],\n ['path', { d: 'm8 11 4 4 4-4' }],\n ['path', { d: 'M8 5H4a2 2 0 0 0-2 2v10a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2V7a2 2 0 0 0-2-2h-4' }],\n ],\n];\n\nexport default Import;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name inbox\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/inbox\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Inbox: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '22 12 16 12 14 15 10 15 8 12 2 12' }],\n [\n 'path',\n {\n d: 'M5.45 5.11 2 12v6a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2v-6l-3.45-6.89A2 2 0 0 0 16.76 4H7.24a2 2 0 0 0-1.79 1.11z',\n },\n ],\n ],\n];\n\nexport default Inbox;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name indent-decrease\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/indent-decrease\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst IndentDecrease: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '7 8 3 12 7 16' }],\n ['line', { x1: '21', x2: '11', y1: '12', y2: '12' }],\n ['line', { x1: '21', x2: '11', y1: '6', y2: '6' }],\n ['line', { x1: '21', x2: '11', y1: '18', y2: '18' }],\n ],\n];\n\nexport default IndentDecrease;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name indent-increase\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/indent-increase\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst IndentIncrease: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '3 8 7 12 3 16' }],\n ['line', { x1: '21', x2: '11', y1: '12', y2: '12' }],\n ['line', { x1: '21', x2: '11', y1: '6', y2: '6' }],\n ['line', { x1: '21', x2: '11', y1: '18', y2: '18' }],\n ],\n];\n\nexport default IndentIncrease;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name indian-rupee\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/indian-rupee\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst IndianRupee: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 3h12' }],\n ['path', { d: 'M6 8h12' }],\n ['path', { d: 'm6 13 8.5 8' }],\n ['path', { d: 'M6 13h3' }],\n ['path', { d: 'M9 13c6.667 0 6.667-10 0-10' }],\n ],\n];\n\nexport default IndianRupee;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name infinity\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/infinity\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Infinity: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M12 12c-2-2.67-4-4-6-4a4 4 0 1 0 0 8c2 0 4-1.33 6-4Zm0 0c2 2.67 4 4 6 4a4 4 0 0 0 0-8c-2 0-4 1.33-6 4Z',\n },\n ],\n ],\n];\n\nexport default Infinity;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name info\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/info\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Info: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M12 16v-4' }],\n ['path', { d: 'M12 8h.01' }],\n ],\n];\n\nexport default Info;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name inspection-panel\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/inspection-panel\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst InspectionPanel: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M7 7h.01' }],\n ['path', { d: 'M17 7h.01' }],\n ['path', { d: 'M7 17h.01' }],\n ['path', { d: 'M17 17h.01' }],\n ],\n];\n\nexport default InspectionPanel;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name instagram\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/instagram\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n * @deprecated Brand icons have been deprecated and are due to be removed, please refer to https://github.com/lucide-icons/lucide/issues/670. We recommend using https://simpleicons.org/?q=instagram instead. This icon will be removed in v1.0\n */\nconst Instagram: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '20', x: '2', y: '2', rx: '5', ry: '5' }],\n ['path', { d: 'M16 11.37A4 4 0 1 1 12.63 8 4 4 0 0 1 16 11.37z' }],\n ['line', { x1: '17.5', x2: '17.51', y1: '6.5', y2: '6.5' }],\n ],\n];\n\nexport default Instagram;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name italic\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/italic\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Italic: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '19', x2: '10', y1: '4', y2: '4' }],\n ['line', { x1: '14', x2: '5', y1: '20', y2: '20' }],\n ['line', { x1: '15', x2: '9', y1: '4', y2: '20' }],\n ],\n];\n\nexport default Italic;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name iteration-ccw\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/iteration-ccw\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst IterationCcw: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M20 10c0-4.4-3.6-8-8-8s-8 3.6-8 8 3.6 8 8 8h8' }],\n ['polyline', { points: '16 14 20 18 16 22' }],\n ],\n];\n\nexport default IterationCcw;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name iteration-cw\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/iteration-cw\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst IterationCw: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 10c0-4.4 3.6-8 8-8s8 3.6 8 8-3.6 8-8 8H4' }],\n ['polyline', { points: '8 22 4 18 8 14' }],\n ],\n];\n\nexport default IterationCw;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name japanese-yen\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/japanese-yen\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst JapaneseYen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 9.5V21m0-11.5L6 3m6 6.5L18 3' }],\n ['path', { d: 'M6 15h12' }],\n ['path', { d: 'M6 11h12' }],\n ],\n];\n\nexport default JapaneseYen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name joystick\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/joystick\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Joystick: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 17a2 2 0 0 0-2-2H5a2 2 0 0 0-2 2v2a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2v-2Z' }],\n ['path', { d: 'M6 15v-2' }],\n ['path', { d: 'M12 15V9' }],\n ['circle', { cx: '12', cy: '6', r: '3' }],\n ],\n];\n\nexport default Joystick;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name kanban\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/kanban\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Kanban: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 5v11' }],\n ['path', { d: 'M12 5v6' }],\n ['path', { d: 'M18 5v14' }],\n ],\n];\n\nexport default Kanban;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name key-round\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/key-round\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst KeyRound: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2.586 17.414A2 2 0 0 0 2 18.828V21a1 1 0 0 0 1 1h3a1 1 0 0 0 1-1v-1a1 1 0 0 1 1-1h1a1 1 0 0 0 1-1v-1a1 1 0 0 1 1-1h.172a2 2 0 0 0 1.414-.586l.814-.814a6.5 6.5 0 1 0-4-4z',\n },\n ],\n ['circle', { cx: '16.5', cy: '7.5', r: '.5', fill: 'currentColor' }],\n ],\n];\n\nexport default KeyRound;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name key-square\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/key-square\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst KeySquare: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M12.4 2.7a2.5 2.5 0 0 1 3.4 0l5.5 5.5a2.5 2.5 0 0 1 0 3.4l-3.7 3.7a2.5 2.5 0 0 1-3.4 0L8.7 9.8a2.5 2.5 0 0 1 0-3.4z',\n },\n ],\n ['path', { d: 'm14 7 3 3' }],\n [\n 'path',\n {\n d: 'm9.4 10.6-6.814 6.814A2 2 0 0 0 2 18.828V21a1 1 0 0 0 1 1h3a1 1 0 0 0 1-1v-1a1 1 0 0 1 1-1h1a1 1 0 0 0 1-1v-1a1 1 0 0 1 1-1h.172a2 2 0 0 0 1.414-.586l.814-.814',\n },\n ],\n ],\n];\n\nexport default KeySquare;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name key\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/key\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Key: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm15.5 7.5 2.3 2.3a1 1 0 0 0 1.4 0l2.1-2.1a1 1 0 0 0 0-1.4L19 4' }],\n ['path', { d: 'm21 2-9.6 9.6' }],\n ['circle', { cx: '7.5', cy: '15.5', r: '5.5' }],\n ],\n];\n\nexport default Key;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name keyboard-music\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/keyboard-music\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst KeyboardMusic: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '16', x: '2', y: '4', rx: '2' }],\n ['path', { d: 'M6 8h4' }],\n ['path', { d: 'M14 8h.01' }],\n ['path', { d: 'M18 8h.01' }],\n ['path', { d: 'M2 12h20' }],\n ['path', { d: 'M6 12v4' }],\n ['path', { d: 'M10 12v4' }],\n ['path', { d: 'M14 12v4' }],\n ['path', { d: 'M18 12v4' }],\n ],\n];\n\nexport default KeyboardMusic;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name keyboard-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/keyboard-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst KeyboardOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M 20 4 A2 2 0 0 1 22 6' }],\n ['path', { d: 'M 22 6 L 22 16.41' }],\n ['path', { d: 'M 7 16 L 16 16' }],\n ['path', { d: 'M 9.69 4 L 20 4' }],\n ['path', { d: 'M14 8h.01' }],\n ['path', { d: 'M18 8h.01' }],\n ['path', { d: 'm2 2 20 20' }],\n ['path', { d: 'M20 20H4a2 2 0 0 1-2-2V6a2 2 0 0 1 2-2' }],\n ['path', { d: 'M6 8h.01' }],\n ['path', { d: 'M8 12h.01' }],\n ],\n];\n\nexport default KeyboardOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name keyboard\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/keyboard\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Keyboard: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 8h.01' }],\n ['path', { d: 'M12 12h.01' }],\n ['path', { d: 'M14 8h.01' }],\n ['path', { d: 'M16 12h.01' }],\n ['path', { d: 'M18 8h.01' }],\n ['path', { d: 'M6 8h.01' }],\n ['path', { d: 'M7 16h10' }],\n ['path', { d: 'M8 12h.01' }],\n ['rect', { width: '20', height: '16', x: '2', y: '4', rx: '2' }],\n ],\n];\n\nexport default Keyboard;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name lamp-ceiling\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/lamp-ceiling\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LampCeiling: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 2v5' }],\n ['path', { d: 'M6 7h12l4 9H2l4-9Z' }],\n ['path', { d: 'M9.17 16a3 3 0 1 0 5.66 0' }],\n ],\n];\n\nexport default LampCeiling;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name lamp-desk\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/lamp-desk\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LampDesk: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm14 5-3 3 2 7 8-8-7-2Z' }],\n ['path', { d: 'm14 5-3 3-3-3 3-3 3 3Z' }],\n ['path', { d: 'M9.5 6.5 4 12l3 6' }],\n ['path', { d: 'M3 22v-2c0-1.1.9-2 2-2h4a2 2 0 0 1 2 2v2H3Z' }],\n ],\n];\n\nexport default LampDesk;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name lamp-floor\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/lamp-floor\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LampFloor: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M9 2h6l3 7H6l3-7Z' }],\n ['path', { d: 'M12 9v13' }],\n ['path', { d: 'M9 22h6' }],\n ],\n];\n\nexport default LampFloor;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name lamp-wall-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/lamp-wall-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LampWallDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11 13h6l3 7H8l3-7Z' }],\n ['path', { d: 'M14 13V8a2 2 0 0 0-2-2H8' }],\n ['path', { d: 'M4 9h2a2 2 0 0 0 2-2V5a2 2 0 0 0-2-2H4v6Z' }],\n ],\n];\n\nexport default LampWallDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name lamp-wall-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/lamp-wall-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LampWallUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11 4h6l3 7H8l3-7Z' }],\n ['path', { d: 'M14 11v5a2 2 0 0 1-2 2H8' }],\n ['path', { d: 'M4 15h2a2 2 0 0 1 2 2v2a2 2 0 0 1-2 2H4v-6Z' }],\n ],\n];\n\nexport default LampWallUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name lamp\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/lamp\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Lamp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 2h8l4 10H4L8 2Z' }],\n ['path', { d: 'M12 12v6' }],\n ['path', { d: 'M8 22v-2c0-1.1.9-2 2-2h4a2 2 0 0 1 2 2v2H8Z' }],\n ],\n];\n\nexport default Lamp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name land-plot\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/land-plot\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LandPlot: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm12 8 6-3-6-3v10' }],\n [\n 'path',\n {\n d: 'm8 11.99-5.5 3.14a1 1 0 0 0 0 1.74l8.5 4.86a2 2 0 0 0 2 0l8.5-4.86a1 1 0 0 0 0-1.74L16 12',\n },\n ],\n ['path', { d: 'm6.49 12.85 11.02 6.3' }],\n ['path', { d: 'M17.51 12.85 6.5 19.15' }],\n ],\n];\n\nexport default LandPlot;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name landmark\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/landmark\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Landmark: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '3', x2: '21', y1: '22', y2: '22' }],\n ['line', { x1: '6', x2: '6', y1: '18', y2: '11' }],\n ['line', { x1: '10', x2: '10', y1: '18', y2: '11' }],\n ['line', { x1: '14', x2: '14', y1: '18', y2: '11' }],\n ['line', { x1: '18', x2: '18', y1: '18', y2: '11' }],\n ['polygon', { points: '12 2 20 7 4 7' }],\n ],\n];\n\nexport default Landmark;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name languages\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/languages\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Languages: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm5 8 6 6' }],\n ['path', { d: 'm4 14 6-6 2-3' }],\n ['path', { d: 'M2 5h12' }],\n ['path', { d: 'M7 2h1' }],\n ['path', { d: 'm22 22-5-10-5 10' }],\n ['path', { d: 'M14 18h6' }],\n ],\n];\n\nexport default Languages;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name laptop-minimal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/laptop-minimal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LaptopMinimal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '12', x: '3', y: '4', rx: '2', ry: '2' }],\n ['line', { x1: '2', x2: '22', y1: '20', y2: '20' }],\n ],\n];\n\nexport default LaptopMinimal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name laptop\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/laptop\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Laptop: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 16V7a2 2 0 0 0-2-2H6a2 2 0 0 0-2 2v9m16 0H4m16 0 1.28 2.55a1 1 0 0 1-.9 1.45H3.62a1 1 0 0 1-.9-1.45L4 16',\n },\n ],\n ],\n];\n\nexport default Laptop;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name lasso-select\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/lasso-select\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LassoSelect: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7 22a5 5 0 0 1-2-4' }],\n ['path', { d: 'M7 16.93c.96.43 1.96.74 2.99.91' }],\n [\n 'path',\n { d: 'M3.34 14A6.8 6.8 0 0 1 2 10c0-4.42 4.48-8 10-8s10 3.58 10 8a7.19 7.19 0 0 1-.33 2' },\n ],\n ['path', { d: 'M5 18a2 2 0 1 0 0-4 2 2 0 0 0 0 4z' }],\n [\n 'path',\n {\n d: 'M14.33 22h-.09a.35.35 0 0 1-.24-.32v-10a.34.34 0 0 1 .33-.34c.08 0 .15.03.21.08l7.34 6a.33.33 0 0 1-.21.59h-4.49l-2.57 3.85a.35.35 0 0 1-.28.14z',\n },\n ],\n ],\n];\n\nexport default LassoSelect;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name lasso\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/lasso\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Lasso: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7 22a5 5 0 0 1-2-4' }],\n [\n 'path',\n { d: 'M3.3 14A6.8 6.8 0 0 1 2 10c0-4.4 4.5-8 10-8s10 3.6 10 8-4.5 8-10 8a12 12 0 0 1-5-1' },\n ],\n ['path', { d: 'M5 18a2 2 0 1 0 0-4 2 2 0 0 0 0 4z' }],\n ],\n];\n\nexport default Lasso;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name laugh\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/laugh\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Laugh: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M18 13a6 6 0 0 1-6 5 6 6 0 0 1-6-5h12Z' }],\n ['line', { x1: '9', x2: '9.01', y1: '9', y2: '9' }],\n ['line', { x1: '15', x2: '15.01', y1: '9', y2: '9' }],\n ],\n];\n\nexport default Laugh;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name layers-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/layers-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Layers2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm16.02 12 5.48 3.13a1 1 0 0 1 0 1.74L13 21.74a2 2 0 0 1-2 0l-8.5-4.87a1 1 0 0 1 0-1.74L7.98 12',\n },\n ],\n [\n 'path',\n {\n d: 'M13 13.74a2 2 0 0 1-2 0L2.5 8.87a1 1 0 0 1 0-1.74L11 2.26a2 2 0 0 1 2 0l8.5 4.87a1 1 0 0 1 0 1.74Z',\n },\n ],\n ],\n];\n\nexport default Layers2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name layers-3\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/layers-3\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Layers3: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z',\n },\n ],\n [\n 'path',\n {\n d: 'm6.08 9.5-3.5 1.6a1 1 0 0 0 0 1.81l8.6 3.91a2 2 0 0 0 1.65 0l8.58-3.9a1 1 0 0 0 0-1.83l-3.5-1.59',\n },\n ],\n [\n 'path',\n {\n d: 'm6.08 14.5-3.5 1.6a1 1 0 0 0 0 1.81l8.6 3.91a2 2 0 0 0 1.65 0l8.58-3.9a1 1 0 0 0 0-1.83l-3.5-1.59',\n },\n ],\n ],\n];\n\nexport default Layers3;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name layers\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/layers\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Layers: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z',\n },\n ],\n ['path', { d: 'm22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65' }],\n ['path', { d: 'm22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65' }],\n ],\n];\n\nexport default Layers;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name layout-dashboard\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/layout-dashboard\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LayoutDashboard: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '7', height: '9', x: '3', y: '3', rx: '1' }],\n ['rect', { width: '7', height: '5', x: '14', y: '3', rx: '1' }],\n ['rect', { width: '7', height: '9', x: '14', y: '12', rx: '1' }],\n ['rect', { width: '7', height: '5', x: '3', y: '16', rx: '1' }],\n ],\n];\n\nexport default LayoutDashboard;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name layout-grid\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/layout-grid\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LayoutGrid: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '7', height: '7', x: '3', y: '3', rx: '1' }],\n ['rect', { width: '7', height: '7', x: '14', y: '3', rx: '1' }],\n ['rect', { width: '7', height: '7', x: '14', y: '14', rx: '1' }],\n ['rect', { width: '7', height: '7', x: '3', y: '14', rx: '1' }],\n ],\n];\n\nexport default LayoutGrid;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name layout-list\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/layout-list\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LayoutList: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '7', height: '7', x: '3', y: '3', rx: '1' }],\n ['rect', { width: '7', height: '7', x: '3', y: '14', rx: '1' }],\n ['path', { d: 'M14 4h7' }],\n ['path', { d: 'M14 9h7' }],\n ['path', { d: 'M14 15h7' }],\n ['path', { d: 'M14 20h7' }],\n ],\n];\n\nexport default LayoutList;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name layout-panel-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/layout-panel-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LayoutPanelLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '7', height: '18', x: '3', y: '3', rx: '1' }],\n ['rect', { width: '7', height: '7', x: '14', y: '3', rx: '1' }],\n ['rect', { width: '7', height: '7', x: '14', y: '14', rx: '1' }],\n ],\n];\n\nexport default LayoutPanelLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name layout-panel-top\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/layout-panel-top\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LayoutPanelTop: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '7', x: '3', y: '3', rx: '1' }],\n ['rect', { width: '7', height: '7', x: '3', y: '14', rx: '1' }],\n ['rect', { width: '7', height: '7', x: '14', y: '14', rx: '1' }],\n ],\n];\n\nexport default LayoutPanelTop;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name layout-template\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/layout-template\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LayoutTemplate: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '7', x: '3', y: '3', rx: '1' }],\n ['rect', { width: '9', height: '7', x: '3', y: '14', rx: '1' }],\n ['rect', { width: '5', height: '7', x: '16', y: '14', rx: '1' }],\n ],\n];\n\nexport default LayoutTemplate;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name leaf\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/leaf\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Leaf: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n { d: 'M11 20A7 7 0 0 1 9.8 6.1C15.5 5 17 4.48 19 2c1 2 2 4.18 2 8 0 5.5-4.78 10-10 10Z' },\n ],\n ['path', { d: 'M2 21c0-3 1.85-5.36 5.08-6C9.5 14.52 12 13 13 12' }],\n ],\n];\n\nexport default Leaf;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name leafy-green\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/leafy-green\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LeafyGreen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2 22c1.25-.987 2.27-1.975 3.9-2.2a5.56 5.56 0 0 1 3.8 1.5 4 4 0 0 0 6.187-2.353 3.5 3.5 0 0 0 3.69-5.116A3.5 3.5 0 0 0 20.95 8 3.5 3.5 0 1 0 16 3.05a3.5 3.5 0 0 0-5.831 1.373 3.5 3.5 0 0 0-5.116 3.69 4 4 0 0 0-2.348 6.155C3.499 15.42 4.409 16.712 4.2 18.1 3.926 19.743 3.014 20.732 2 22',\n },\n ],\n ['path', { d: 'M2 22 17 7' }],\n ],\n];\n\nexport default LeafyGreen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name lectern\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/lectern\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Lectern: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M16 12h3a2 2 0 0 0 1.902-1.38l1.056-3.333A1 1 0 0 0 21 6H3a1 1 0 0 0-.958 1.287l1.056 3.334A2 2 0 0 0 5 12h3',\n },\n ],\n ['path', { d: 'M18 6V3a1 1 0 0 0-1-1h-3' }],\n ['rect', { width: '8', height: '12', x: '8', y: '10', rx: '1' }],\n ],\n];\n\nexport default Lectern;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name letter-text\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/letter-text\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LetterText: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 12h6' }],\n ['path', { d: 'M15 6h6' }],\n ['path', { d: 'm3 13 3.553-7.724a.5.5 0 0 1 .894 0L11 13' }],\n ['path', { d: 'M3 18h18' }],\n ['path', { d: 'M4 11h6' }],\n ],\n];\n\nexport default LetterText;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name library-big\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/library-big\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LibraryBig: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '8', height: '18', x: '3', y: '3', rx: '1' }],\n ['path', { d: 'M7 3v18' }],\n [\n 'path',\n {\n d: 'M20.4 18.9c.2.5-.1 1.1-.6 1.3l-1.9.7c-.5.2-1.1-.1-1.3-.6L11.1 5.1c-.2-.5.1-1.1.6-1.3l1.9-.7c.5-.2 1.1.1 1.3.6Z',\n },\n ],\n ],\n];\n\nexport default LibraryBig;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name library\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/library\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Library: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm16 6 4 14' }],\n ['path', { d: 'M12 6v14' }],\n ['path', { d: 'M8 8v12' }],\n ['path', { d: 'M4 4v16' }],\n ],\n];\n\nexport default Library;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name life-buoy\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/life-buoy\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LifeBuoy: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'm4.93 4.93 4.24 4.24' }],\n ['path', { d: 'm14.83 9.17 4.24-4.24' }],\n ['path', { d: 'm14.83 14.83 4.24 4.24' }],\n ['path', { d: 'm9.17 14.83-4.24 4.24' }],\n ['circle', { cx: '12', cy: '12', r: '4' }],\n ],\n];\n\nexport default LifeBuoy;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ligature\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ligature\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Ligature: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 20V8c0-2.2 1.8-4 4-4 1.5 0 2.8.8 3.5 2' }],\n ['path', { d: 'M6 12h4' }],\n ['path', { d: 'M14 12h2v8' }],\n ['path', { d: 'M6 20h4' }],\n ['path', { d: 'M14 20h4' }],\n ],\n];\n\nexport default Ligature;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name lightbulb-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/lightbulb-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LightbulbOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16.8 11.2c.8-.9 1.2-2 1.2-3.2a6 6 0 0 0-9.3-5' }],\n ['path', { d: 'm2 2 20 20' }],\n ['path', { d: 'M6.3 6.3a4.67 4.67 0 0 0 1.2 5.2c.7.7 1.3 1.5 1.5 2.5' }],\n ['path', { d: 'M9 18h6' }],\n ['path', { d: 'M10 22h4' }],\n ],\n];\n\nexport default LightbulbOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name lightbulb\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/lightbulb\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Lightbulb: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M15 14c.2-1 .7-1.7 1.5-2.5 1-.9 1.5-2.2 1.5-3.5A6 6 0 0 0 6 8c0 1 .2 2.2 1.5 3.5.7.7 1.3 1.5 1.5 2.5',\n },\n ],\n ['path', { d: 'M9 18h6' }],\n ['path', { d: 'M10 22h4' }],\n ],\n];\n\nexport default Lightbulb;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name link-2-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/link-2-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Link2Off: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M9 17H7A5 5 0 0 1 7 7' }],\n ['path', { d: 'M15 7h2a5 5 0 0 1 4 8' }],\n ['line', { x1: '8', x2: '12', y1: '12', y2: '12' }],\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ],\n];\n\nexport default Link2Off;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name link-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/link-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Link2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M9 17H7A5 5 0 0 1 7 7h2' }],\n ['path', { d: 'M15 7h2a5 5 0 1 1 0 10h-2' }],\n ['line', { x1: '8', x2: '16', y1: '12', y2: '12' }],\n ],\n];\n\nexport default Link2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name link\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/link\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Link: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71' }],\n ['path', { d: 'M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71' }],\n ],\n];\n\nexport default Link;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name linkedin\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/linkedin\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Linkedin: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n { d: 'M16 8a6 6 0 0 1 6 6v7h-4v-7a2 2 0 0 0-2-2 2 2 0 0 0-2 2v7h-4v-7a6 6 0 0 1 6-6z' },\n ],\n ['rect', { width: '4', height: '12', x: '2', y: '9' }],\n ['circle', { cx: '4', cy: '4', r: '2' }],\n ],\n];\n\nexport default Linkedin;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name list-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/list-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ListCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11 18H3' }],\n ['path', { d: 'm15 18 2 2 4-4' }],\n ['path', { d: 'M16 12H3' }],\n ['path', { d: 'M16 6H3' }],\n ],\n];\n\nexport default ListCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name list-checks\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/list-checks\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ListChecks: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 17 2 2 4-4' }],\n ['path', { d: 'm3 7 2 2 4-4' }],\n ['path', { d: 'M13 6h8' }],\n ['path', { d: 'M13 12h8' }],\n ['path', { d: 'M13 18h8' }],\n ],\n];\n\nexport default ListChecks;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name list-collapse\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/list-collapse\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ListCollapse: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 10 2.5-2.5L3 5' }],\n ['path', { d: 'm3 19 2.5-2.5L3 14' }],\n ['path', { d: 'M10 6h11' }],\n ['path', { d: 'M10 12h11' }],\n ['path', { d: 'M10 18h11' }],\n ],\n];\n\nexport default ListCollapse;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name list-end\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/list-end\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ListEnd: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 12H3' }],\n ['path', { d: 'M16 6H3' }],\n ['path', { d: 'M10 18H3' }],\n ['path', { d: 'M21 6v10a2 2 0 0 1-2 2h-5' }],\n ['path', { d: 'm16 16-2 2 2 2' }],\n ],\n];\n\nexport default ListEnd;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name list-filter\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/list-filter\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ListFilter: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 6h18' }],\n ['path', { d: 'M7 12h10' }],\n ['path', { d: 'M10 18h4' }],\n ],\n];\n\nexport default ListFilter;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name list-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/list-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ListMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11 12H3' }],\n ['path', { d: 'M16 6H3' }],\n ['path', { d: 'M16 18H3' }],\n ['path', { d: 'M21 12h-6' }],\n ],\n];\n\nexport default ListMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name list-music\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/list-music\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ListMusic: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 15V6' }],\n ['path', { d: 'M18.5 18a2.5 2.5 0 1 0 0-5 2.5 2.5 0 0 0 0 5Z' }],\n ['path', { d: 'M12 12H3' }],\n ['path', { d: 'M16 6H3' }],\n ['path', { d: 'M12 18H3' }],\n ],\n];\n\nexport default ListMusic;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name list-ordered\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/list-ordered\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ListOrdered: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '10', x2: '21', y1: '6', y2: '6' }],\n ['line', { x1: '10', x2: '21', y1: '12', y2: '12' }],\n ['line', { x1: '10', x2: '21', y1: '18', y2: '18' }],\n ['path', { d: 'M4 6h1v4' }],\n ['path', { d: 'M4 10h2' }],\n ['path', { d: 'M6 18H4c0-1 2-2 2-3s-1-1.5-2-1' }],\n ],\n];\n\nexport default ListOrdered;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name list-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/list-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ListPlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11 12H3' }],\n ['path', { d: 'M16 6H3' }],\n ['path', { d: 'M16 18H3' }],\n ['path', { d: 'M18 9v6' }],\n ['path', { d: 'M21 12h-6' }],\n ],\n];\n\nexport default ListPlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name list-restart\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/list-restart\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ListRestart: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 6H3' }],\n ['path', { d: 'M7 12H3' }],\n ['path', { d: 'M7 18H3' }],\n ['path', { d: 'M12 18a5 5 0 0 0 9-3 4.5 4.5 0 0 0-4.5-4.5c-1.33 0-2.54.54-3.41 1.41L11 14' }],\n ['path', { d: 'M11 10v4h4' }],\n ],\n];\n\nexport default ListRestart;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name list-start\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/list-start\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ListStart: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 12H3' }],\n ['path', { d: 'M16 18H3' }],\n ['path', { d: 'M10 6H3' }],\n ['path', { d: 'M21 18V8a2 2 0 0 0-2-2h-5' }],\n ['path', { d: 'm16 8-2-2 2-2' }],\n ],\n];\n\nexport default ListStart;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name list-todo\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/list-todo\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ListTodo: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { x: '3', y: '5', width: '6', height: '6', rx: '1' }],\n ['path', { d: 'm3 17 2 2 4-4' }],\n ['path', { d: 'M13 6h8' }],\n ['path', { d: 'M13 12h8' }],\n ['path', { d: 'M13 18h8' }],\n ],\n];\n\nexport default ListTodo;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name list-tree\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/list-tree\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ListTree: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 12h-8' }],\n ['path', { d: 'M21 6H8' }],\n ['path', { d: 'M21 18h-8' }],\n ['path', { d: 'M3 6v4c0 1.1.9 2 2 2h3' }],\n ['path', { d: 'M3 10v6c0 1.1.9 2 2 2h3' }],\n ],\n];\n\nexport default ListTree;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name list-video\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/list-video\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ListVideo: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 12H3' }],\n ['path', { d: 'M16 6H3' }],\n ['path', { d: 'M12 18H3' }],\n ['path', { d: 'm16 12 5 3-5 3v-6Z' }],\n ],\n];\n\nexport default ListVideo;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name list-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/list-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ListX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11 12H3' }],\n ['path', { d: 'M16 6H3' }],\n ['path', { d: 'M16 18H3' }],\n ['path', { d: 'm19 10-4 4' }],\n ['path', { d: 'm15 10 4 4' }],\n ],\n];\n\nexport default ListX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name list\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/list\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst List: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '8', x2: '21', y1: '6', y2: '6' }],\n ['line', { x1: '8', x2: '21', y1: '12', y2: '12' }],\n ['line', { x1: '8', x2: '21', y1: '18', y2: '18' }],\n ['line', { x1: '3', x2: '3.01', y1: '6', y2: '6' }],\n ['line', { x1: '3', x2: '3.01', y1: '12', y2: '12' }],\n ['line', { x1: '3', x2: '3.01', y1: '18', y2: '18' }],\n ],\n];\n\nexport default List;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name loader-circle\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/loader-circle\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LoaderCircle: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M21 12a9 9 0 1 1-6.219-8.56' }]],\n];\n\nexport default LoaderCircle;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name loader-pinwheel\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/loader-pinwheel\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LoaderPinwheel: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 12c0-2.8 2.2-5 5-5s5 2.2 5 5 2.2 5 5 5 5-2.2 5-5' }],\n ['path', { d: 'M7 20.7a1 1 0 1 1 5-8.7 1 1 0 1 0 5-8.6' }],\n ['path', { d: 'M7 3.3a1 1 0 1 1 5 8.6 1 1 0 1 0 5 8.6' }],\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ],\n];\n\nexport default LoaderPinwheel;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name loader\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/loader\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Loader: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 2v4' }],\n ['path', { d: 'm16.2 7.8 2.9-2.9' }],\n ['path', { d: 'M18 12h4' }],\n ['path', { d: 'm16.2 16.2 2.9 2.9' }],\n ['path', { d: 'M12 18v4' }],\n ['path', { d: 'm4.9 19.1 2.9-2.9' }],\n ['path', { d: 'M2 12h4' }],\n ['path', { d: 'm4.9 4.9 2.9 2.9' }],\n ],\n];\n\nexport default Loader;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name locate-fixed\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/locate-fixed\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LocateFixed: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '2', x2: '5', y1: '12', y2: '12' }],\n ['line', { x1: '19', x2: '22', y1: '12', y2: '12' }],\n ['line', { x1: '12', x2: '12', y1: '2', y2: '5' }],\n ['line', { x1: '12', x2: '12', y1: '19', y2: '22' }],\n ['circle', { cx: '12', cy: '12', r: '7' }],\n ['circle', { cx: '12', cy: '12', r: '3' }],\n ],\n];\n\nexport default LocateFixed;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name locate-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/locate-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LocateOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '2', x2: '5', y1: '12', y2: '12' }],\n ['line', { x1: '19', x2: '22', y1: '12', y2: '12' }],\n ['line', { x1: '12', x2: '12', y1: '2', y2: '5' }],\n ['line', { x1: '12', x2: '12', y1: '19', y2: '22' }],\n ['path', { d: 'M7.11 7.11C5.83 8.39 5 10.1 5 12c0 3.87 3.13 7 7 7 1.9 0 3.61-.83 4.89-2.11' }],\n ['path', { d: 'M18.71 13.96c.19-.63.29-1.29.29-1.96 0-3.87-3.13-7-7-7-.67 0-1.33.1-1.96.29' }],\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ],\n];\n\nexport default LocateOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name locate\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/locate\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Locate: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '2', x2: '5', y1: '12', y2: '12' }],\n ['line', { x1: '19', x2: '22', y1: '12', y2: '12' }],\n ['line', { x1: '12', x2: '12', y1: '2', y2: '5' }],\n ['line', { x1: '12', x2: '12', y1: '19', y2: '22' }],\n ['circle', { cx: '12', cy: '12', r: '7' }],\n ],\n];\n\nexport default Locate;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name lock-keyhole-open\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/lock-keyhole-open\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LockKeyholeOpen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '16', r: '1' }],\n ['rect', { width: '18', height: '12', x: '3', y: '10', rx: '2' }],\n ['path', { d: 'M7 10V7a5 5 0 0 1 9.33-2.5' }],\n ],\n];\n\nexport default LockKeyholeOpen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name lock-keyhole\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/lock-keyhole\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LockKeyhole: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '16', r: '1' }],\n ['rect', { x: '3', y: '10', width: '18', height: '12', rx: '2' }],\n ['path', { d: 'M7 10V7a5 5 0 0 1 10 0v3' }],\n ],\n];\n\nexport default LockKeyhole;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name lock-open\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/lock-open\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LockOpen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '11', x: '3', y: '11', rx: '2', ry: '2' }],\n ['path', { d: 'M7 11V7a5 5 0 0 1 9.9-1' }],\n ],\n];\n\nexport default LockOpen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name lock\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/lock\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Lock: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '11', x: '3', y: '11', rx: '2', ry: '2' }],\n ['path', { d: 'M7 11V7a5 5 0 0 1 10 0v4' }],\n ],\n];\n\nexport default Lock;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name log-in\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/log-in\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LogIn: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 3h4a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2h-4' }],\n ['polyline', { points: '10 17 15 12 10 7' }],\n ['line', { x1: '15', x2: '3', y1: '12', y2: '12' }],\n ],\n];\n\nexport default LogIn;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name log-out\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/log-out\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst LogOut: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M9 21H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h4' }],\n ['polyline', { points: '16 17 21 12 16 7' }],\n ['line', { x1: '21', x2: '9', y1: '12', y2: '12' }],\n ],\n];\n\nexport default LogOut;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name logs\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/logs\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Logs: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13 12h8' }],\n ['path', { d: 'M13 18h8' }],\n ['path', { d: 'M13 6h8' }],\n ['path', { d: 'M3 12h1' }],\n ['path', { d: 'M3 18h1' }],\n ['path', { d: 'M3 6h1' }],\n ['path', { d: 'M8 12h1' }],\n ['path', { d: 'M8 18h1' }],\n ['path', { d: 'M8 6h1' }],\n ],\n];\n\nexport default Logs;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name lollipop\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/lollipop\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Lollipop: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '11', cy: '11', r: '8' }],\n ['path', { d: 'm21 21-4.3-4.3' }],\n ['path', { d: 'M11 11a2 2 0 0 0 4 0 4 4 0 0 0-8 0 6 6 0 0 0 12 0' }],\n ],\n];\n\nexport default Lollipop;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name luggage\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/luggage\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Luggage: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 20a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h12a2 2 0 0 1 2 2v10a2 2 0 0 1-2 2' }],\n ['path', { d: 'M8 18V4a2 2 0 0 1 2-2h4a2 2 0 0 1 2 2v14' }],\n ['path', { d: 'M10 20h4' }],\n ['circle', { cx: '16', cy: '20', r: '2' }],\n ['circle', { cx: '8', cy: '20', r: '2' }],\n ],\n];\n\nexport default Luggage;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name magnet\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/magnet\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Magnet: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm6 15-4-4 6.75-6.77a7.79 7.79 0 0 1 11 11L13 22l-4-4 6.39-6.36a2.14 2.14 0 0 0-3-3L6 15',\n },\n ],\n ['path', { d: 'm5 8 4 4' }],\n ['path', { d: 'm12 15 4 4' }],\n ],\n];\n\nexport default Magnet;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mail-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mail-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MailCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M22 13V6a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2v12c0 1.1.9 2 2 2h8' }],\n ['path', { d: 'm22 7-8.97 5.7a1.94 1.94 0 0 1-2.06 0L2 7' }],\n ['path', { d: 'm16 19 2 2 4-4' }],\n ],\n];\n\nexport default MailCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mail-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mail-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MailMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M22 15V6a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2v12c0 1.1.9 2 2 2h8' }],\n ['path', { d: 'm22 7-8.97 5.7a1.94 1.94 0 0 1-2.06 0L2 7' }],\n ['path', { d: 'M16 19h6' }],\n ],\n];\n\nexport default MailMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mail-open\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mail-open\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MailOpen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M21.2 8.4c.5.38.8.97.8 1.6v10a2 2 0 0 1-2 2H4a2 2 0 0 1-2-2V10a2 2 0 0 1 .8-1.6l8-6a2 2 0 0 1 2.4 0l8 6Z',\n },\n ],\n ['path', { d: 'm22 10-8.97 5.7a1.94 1.94 0 0 1-2.06 0L2 10' }],\n ],\n];\n\nexport default MailOpen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mail-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mail-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MailPlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M22 13V6a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2v12c0 1.1.9 2 2 2h8' }],\n ['path', { d: 'm22 7-8.97 5.7a1.94 1.94 0 0 1-2.06 0L2 7' }],\n ['path', { d: 'M19 16v6' }],\n ['path', { d: 'M16 19h6' }],\n ],\n];\n\nexport default MailPlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mail-question\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mail-question\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MailQuestion: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M22 10.5V6a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2v12c0 1.1.9 2 2 2h12.5' }],\n ['path', { d: 'm22 7-8.97 5.7a1.94 1.94 0 0 1-2.06 0L2 7' }],\n ['path', { d: 'M18 15.28c.2-.4.5-.8.9-1a2.1 2.1 0 0 1 2.6.4c.3.4.5.8.5 1.3 0 1.3-2 2-2 2' }],\n ['path', { d: 'M20 22v.01' }],\n ],\n];\n\nexport default MailQuestion;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mail-search\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mail-search\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MailSearch: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M22 12.5V6a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2v12c0 1.1.9 2 2 2h7.5' }],\n ['path', { d: 'm22 7-8.97 5.7a1.94 1.94 0 0 1-2.06 0L2 7' }],\n ['path', { d: 'M18 21a3 3 0 1 0 0-6 3 3 0 0 0 0 6Z' }],\n ['circle', { cx: '18', cy: '18', r: '3' }],\n ['path', { d: 'm22 22-1.5-1.5' }],\n ],\n];\n\nexport default MailSearch;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mail-warning\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mail-warning\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MailWarning: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M22 10.5V6a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2v12c0 1.1.9 2 2 2h12.5' }],\n ['path', { d: 'm22 7-8.97 5.7a1.94 1.94 0 0 1-2.06 0L2 7' }],\n ['path', { d: 'M20 14v4' }],\n ['path', { d: 'M20 22v.01' }],\n ],\n];\n\nexport default MailWarning;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mail-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mail-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MailX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M22 13V6a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2v12c0 1.1.9 2 2 2h9' }],\n ['path', { d: 'm22 7-8.97 5.7a1.94 1.94 0 0 1-2.06 0L2 7' }],\n ['path', { d: 'm17 17 4 4' }],\n ['path', { d: 'm21 17-4 4' }],\n ],\n];\n\nexport default MailX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mail\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mail\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Mail: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '16', x: '2', y: '4', rx: '2' }],\n ['path', { d: 'm22 7-8.97 5.7a1.94 1.94 0 0 1-2.06 0L2 7' }],\n ],\n];\n\nexport default Mail;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mailbox\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mailbox\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Mailbox: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M22 17a2 2 0 0 1-2 2H4a2 2 0 0 1-2-2V9.5C2 7 4 5 6.5 5H18c2.2 0 4 1.8 4 4v8Z' }],\n ['polyline', { points: '15,9 18,9 18,11' }],\n ['path', { d: 'M6.5 5C9 5 11 7 11 9.5V17a2 2 0 0 1-2 2' }],\n ['line', { x1: '6', x2: '7', y1: '10', y2: '10' }],\n ],\n];\n\nexport default Mailbox;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mails\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mails\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Mails: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '16', height: '13', x: '6', y: '4', rx: '2' }],\n ['path', { d: 'm22 7-7.1 3.78c-.57.3-1.23.3-1.8 0L6 7' }],\n ['path', { d: 'M2 8v11c0 1.1.9 2 2 2h14' }],\n ],\n];\n\nexport default Mails;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name map-pin-check-inside\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/map-pin-check-inside\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MapPinCheckInside: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 10c0 4.993-5.539 10.193-7.399 11.799a1 1 0 0 1-1.202 0C9.539 20.193 4 14.993 4 10a8 8 0 0 1 16 0',\n },\n ],\n ['path', { d: 'm9 10 2 2 4-4' }],\n ],\n];\n\nexport default MapPinCheckInside;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name map-pin-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/map-pin-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MapPinCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M19.43 12.935c.357-.967.57-1.955.57-2.935a8 8 0 0 0-16 0c0 4.993 5.539 10.193 7.399 11.799a1 1 0 0 0 1.202 0 32.197 32.197 0 0 0 .813-.728',\n },\n ],\n ['circle', { cx: '12', cy: '10', r: '3' }],\n ['path', { d: 'm16 18 2 2 4-4' }],\n ],\n];\n\nexport default MapPinCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name map-pin-minus-inside\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/map-pin-minus-inside\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MapPinMinusInside: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 10c0 4.993-5.539 10.193-7.399 11.799a1 1 0 0 1-1.202 0C9.539 20.193 4 14.993 4 10a8 8 0 0 1 16 0',\n },\n ],\n ['path', { d: 'M9 10h6' }],\n ],\n];\n\nexport default MapPinMinusInside;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name map-pin-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/map-pin-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MapPinMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M18.977 14C19.6 12.701 20 11.343 20 10a8 8 0 0 0-16 0c0 4.993 5.539 10.193 7.399 11.799a1 1 0 0 0 1.202 0 32 32 0 0 0 .824-.738',\n },\n ],\n ['circle', { cx: '12', cy: '10', r: '3' }],\n ['path', { d: 'M16 18h6' }],\n ],\n];\n\nexport default MapPinMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name map-pin-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/map-pin-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MapPinOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12.75 7.09a3 3 0 0 1 2.16 2.16' }],\n [\n 'path',\n {\n d: 'M17.072 17.072c-1.634 2.17-3.527 3.912-4.471 4.727a1 1 0 0 1-1.202 0C9.539 20.193 4 14.993 4 10a8 8 0 0 1 1.432-4.568',\n },\n ],\n ['path', { d: 'm2 2 20 20' }],\n ['path', { d: 'M8.475 2.818A8 8 0 0 1 20 10c0 1.183-.31 2.377-.81 3.533' }],\n ['path', { d: 'M9.13 9.13a3 3 0 0 0 3.74 3.74' }],\n ],\n];\n\nexport default MapPinOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name map-pin-plus-inside\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/map-pin-plus-inside\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MapPinPlusInside: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 10c0 4.993-5.539 10.193-7.399 11.799a1 1 0 0 1-1.202 0C9.539 20.193 4 14.993 4 10a8 8 0 0 1 16 0',\n },\n ],\n ['path', { d: 'M12 7v6' }],\n ['path', { d: 'M9 10h6' }],\n ],\n];\n\nexport default MapPinPlusInside;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name map-pin-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/map-pin-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MapPinPlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M19.914 11.105A7.298 7.298 0 0 0 20 10a8 8 0 0 0-16 0c0 4.993 5.539 10.193 7.399 11.799a1 1 0 0 0 1.202 0 32 32 0 0 0 .824-.738',\n },\n ],\n ['circle', { cx: '12', cy: '10', r: '3' }],\n ['path', { d: 'M16 18h6' }],\n ['path', { d: 'M19 15v6' }],\n ],\n];\n\nexport default MapPinPlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name map-pin-x-inside\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/map-pin-x-inside\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MapPinXInside: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 10c0 4.993-5.539 10.193-7.399 11.799a1 1 0 0 1-1.202 0C9.539 20.193 4 14.993 4 10a8 8 0 0 1 16 0',\n },\n ],\n ['path', { d: 'm14.5 7.5-5 5' }],\n ['path', { d: 'm9.5 7.5 5 5' }],\n ],\n];\n\nexport default MapPinXInside;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name map-pin-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/map-pin-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MapPinX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M19.752 11.901A7.78 7.78 0 0 0 20 10a8 8 0 0 0-16 0c0 4.993 5.539 10.193 7.399 11.799a1 1 0 0 0 1.202 0 19 19 0 0 0 .09-.077',\n },\n ],\n ['circle', { cx: '12', cy: '10', r: '3' }],\n ['path', { d: 'm21.5 15.5-5 5' }],\n ['path', { d: 'm21.5 20.5-5-5' }],\n ],\n];\n\nexport default MapPinX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name map-pin\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/map-pin\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MapPin: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 10c0 4.993-5.539 10.193-7.399 11.799a1 1 0 0 1-1.202 0C9.539 20.193 4 14.993 4 10a8 8 0 0 1 16 0',\n },\n ],\n ['circle', { cx: '12', cy: '10', r: '3' }],\n ],\n];\n\nexport default MapPin;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name map-pinned\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/map-pinned\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MapPinned: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M18 8c0 3.613-3.869 7.429-5.393 8.795a1 1 0 0 1-1.214 0C9.87 15.429 6 11.613 6 8a6 6 0 0 1 12 0',\n },\n ],\n ['circle', { cx: '12', cy: '8', r: '2' }],\n [\n 'path',\n {\n d: 'M8.714 14h-3.71a1 1 0 0 0-.948.683l-2.004 6A1 1 0 0 0 3 22h18a1 1 0 0 0 .948-1.316l-2-6a1 1 0 0 0-.949-.684h-3.712',\n },\n ],\n ],\n];\n\nexport default MapPinned;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name map\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/map\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Map: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M14.106 5.553a2 2 0 0 0 1.788 0l3.659-1.83A1 1 0 0 1 21 4.619v12.764a1 1 0 0 1-.553.894l-4.553 2.277a2 2 0 0 1-1.788 0l-4.212-2.106a2 2 0 0 0-1.788 0l-3.659 1.83A1 1 0 0 1 3 19.381V6.618a1 1 0 0 1 .553-.894l4.553-2.277a2 2 0 0 1 1.788 0z',\n },\n ],\n ['path', { d: 'M15 5.764v15' }],\n ['path', { d: 'M9 3.236v15' }],\n ],\n];\n\nexport default Map;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name martini\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/martini\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Martini: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 22h8' }],\n ['path', { d: 'M12 11v11' }],\n ['path', { d: 'm19 3-7 8-7-8Z' }],\n ],\n];\n\nexport default Martini;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name maximize-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/maximize-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Maximize2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '15 3 21 3 21 9' }],\n ['polyline', { points: '9 21 3 21 3 15' }],\n ['line', { x1: '21', x2: '14', y1: '3', y2: '10' }],\n ['line', { x1: '3', x2: '10', y1: '21', y2: '14' }],\n ],\n];\n\nexport default Maximize2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name maximize\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/maximize\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Maximize: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 3H5a2 2 0 0 0-2 2v3' }],\n ['path', { d: 'M21 8V5a2 2 0 0 0-2-2h-3' }],\n ['path', { d: 'M3 16v3a2 2 0 0 0 2 2h3' }],\n ['path', { d: 'M16 21h3a2 2 0 0 0 2-2v-3' }],\n ],\n];\n\nexport default Maximize;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name medal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/medal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Medal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M7.21 15 2.66 7.14a2 2 0 0 1 .13-2.2L4.4 2.8A2 2 0 0 1 6 2h12a2 2 0 0 1 1.6.8l1.6 2.14a2 2 0 0 1 .14 2.2L16.79 15',\n },\n ],\n ['path', { d: 'M11 12 5.12 2.2' }],\n ['path', { d: 'm13 12 5.88-9.8' }],\n ['path', { d: 'M8 7h8' }],\n ['circle', { cx: '12', cy: '17', r: '5' }],\n ['path', { d: 'M12 18v-2h-.5' }],\n ],\n];\n\nexport default Medal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name megaphone-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/megaphone-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MegaphoneOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M9.26 9.26 3 11v3l14.14 3.14' }],\n ['path', { d: 'M21 15.34V6l-7.31 2.03' }],\n ['path', { d: 'M11.6 16.8a3 3 0 1 1-5.8-1.6' }],\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ],\n];\n\nexport default MegaphoneOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name megaphone\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/megaphone\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Megaphone: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 11 18-5v12L3 14v-3z' }],\n ['path', { d: 'M11.6 16.8a3 3 0 1 1-5.8-1.6' }],\n ],\n];\n\nexport default Megaphone;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name meh\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/meh\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Meh: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['line', { x1: '8', x2: '16', y1: '15', y2: '15' }],\n ['line', { x1: '9', x2: '9.01', y1: '9', y2: '9' }],\n ['line', { x1: '15', x2: '15.01', y1: '9', y2: '9' }],\n ],\n];\n\nexport default Meh;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name memory-stick\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/memory-stick\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MemoryStick: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 19v-3' }],\n ['path', { d: 'M10 19v-3' }],\n ['path', { d: 'M14 19v-3' }],\n ['path', { d: 'M18 19v-3' }],\n ['path', { d: 'M8 11V9' }],\n ['path', { d: 'M16 11V9' }],\n ['path', { d: 'M12 11V9' }],\n ['path', { d: 'M2 15h20' }],\n [\n 'path',\n {\n d: 'M2 7a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2v1.1a2 2 0 0 0 0 3.837V17a2 2 0 0 1-2 2H4a2 2 0 0 1-2-2v-5.1a2 2 0 0 0 0-3.837Z',\n },\n ],\n ],\n];\n\nexport default MemoryStick;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name menu\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/menu\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Menu: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '4', x2: '20', y1: '12', y2: '12' }],\n ['line', { x1: '4', x2: '20', y1: '6', y2: '6' }],\n ['line', { x1: '4', x2: '20', y1: '18', y2: '18' }],\n ],\n];\n\nexport default Menu;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name merge\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/merge\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Merge: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm8 6 4-4 4 4' }],\n ['path', { d: 'M12 2v10.3a4 4 0 0 1-1.172 2.872L4 22' }],\n ['path', { d: 'm20 22-5-5' }],\n ],\n];\n\nexport default Merge;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-circle-code\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-circle-code\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageCircleCode: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 9.5 8 12l2 2.5' }],\n ['path', { d: 'm14 9.5 2 2.5-2 2.5' }],\n ['path', { d: 'M7.9 20A9 9 0 1 0 4 16.1L2 22z' }],\n ],\n];\n\nexport default MessageCircleCode;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-circle-dashed\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-circle-dashed\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageCircleDashed: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13.5 3.1c-.5 0-1-.1-1.5-.1s-1 .1-1.5.1' }],\n ['path', { d: 'M19.3 6.8a10.45 10.45 0 0 0-2.1-2.1' }],\n ['path', { d: 'M20.9 13.5c.1-.5.1-1 .1-1.5s-.1-1-.1-1.5' }],\n ['path', { d: 'M17.2 19.3a10.45 10.45 0 0 0 2.1-2.1' }],\n ['path', { d: 'M10.5 20.9c.5.1 1 .1 1.5.1s1-.1 1.5-.1' }],\n ['path', { d: 'M3.5 17.5 2 22l4.5-1.5' }],\n ['path', { d: 'M3.1 10.5c0 .5-.1 1-.1 1.5s.1 1 .1 1.5' }],\n ['path', { d: 'M6.8 4.7a10.45 10.45 0 0 0-2.1 2.1' }],\n ],\n];\n\nexport default MessageCircleDashed;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-circle-heart\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-circle-heart\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageCircleHeart: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7.9 20A9 9 0 1 0 4 16.1L2 22Z' }],\n [\n 'path',\n {\n d: 'M15.8 9.2a2.5 2.5 0 0 0-3.5 0l-.3.4-.35-.3a2.42 2.42 0 1 0-3.2 3.6l3.6 3.5 3.6-3.5c1.2-1.2 1.1-2.7.2-3.7',\n },\n ],\n ],\n];\n\nexport default MessageCircleHeart;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-circle-more\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-circle-more\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageCircleMore: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7.9 20A9 9 0 1 0 4 16.1L2 22Z' }],\n ['path', { d: 'M8 12h.01' }],\n ['path', { d: 'M12 12h.01' }],\n ['path', { d: 'M16 12h.01' }],\n ],\n];\n\nexport default MessageCircleMore;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-circle-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-circle-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageCircleOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M20.5 14.9A9 9 0 0 0 9.1 3.5' }],\n ['path', { d: 'm2 2 20 20' }],\n ['path', { d: 'M5.6 5.6C3 8.3 2.2 12.5 4 16l-2 6 6-2c3.4 1.8 7.6 1.1 10.3-1.7' }],\n ],\n];\n\nexport default MessageCircleOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-circle-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-circle-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageCirclePlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7.9 20A9 9 0 1 0 4 16.1L2 22Z' }],\n ['path', { d: 'M8 12h8' }],\n ['path', { d: 'M12 8v8' }],\n ],\n];\n\nexport default MessageCirclePlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-circle-question\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-circle-question\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageCircleQuestion: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7.9 20A9 9 0 1 0 4 16.1L2 22Z' }],\n ['path', { d: 'M9.09 9a3 3 0 0 1 5.83 1c0 2-3 3-3 3' }],\n ['path', { d: 'M12 17h.01' }],\n ],\n];\n\nexport default MessageCircleQuestion;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-circle-reply\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-circle-reply\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageCircleReply: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7.9 20A9 9 0 1 0 4 16.1L2 22Z' }],\n ['path', { d: 'm10 15-3-3 3-3' }],\n ['path', { d: 'M7 12h7a2 2 0 0 1 2 2v1' }],\n ],\n];\n\nexport default MessageCircleReply;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-circle-warning\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-circle-warning\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageCircleWarning: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7.9 20A9 9 0 1 0 4 16.1L2 22Z' }],\n ['path', { d: 'M12 8v4' }],\n ['path', { d: 'M12 16h.01' }],\n ],\n];\n\nexport default MessageCircleWarning;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-circle-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-circle-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageCircleX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7.9 20A9 9 0 1 0 4 16.1L2 22Z' }],\n ['path', { d: 'm15 9-6 6' }],\n ['path', { d: 'm9 9 6 6' }],\n ],\n];\n\nexport default MessageCircleX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-circle\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-circle\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageCircle: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M7.9 20A9 9 0 1 0 4 16.1L2 22Z' }]],\n];\n\nexport default MessageCircle;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-square-code\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-square-code\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageSquareCode: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 7.5 8 10l2 2.5' }],\n ['path', { d: 'm14 7.5 2 2.5-2 2.5' }],\n ['path', { d: 'M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z' }],\n ],\n];\n\nexport default MessageSquareCode;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-square-dashed\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-square-dashed\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageSquareDashed: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 6V5c0-1.1.9-2 2-2h2' }],\n ['path', { d: 'M11 3h3' }],\n ['path', { d: 'M18 3h1c1.1 0 2 .9 2 2' }],\n ['path', { d: 'M21 9v2' }],\n ['path', { d: 'M21 15c0 1.1-.9 2-2 2h-1' }],\n ['path', { d: 'M14 17h-3' }],\n ['path', { d: 'm7 17-4 4v-5' }],\n ['path', { d: 'M3 12v-2' }],\n ],\n];\n\nexport default MessageSquareDashed;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-square-diff\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-square-diff\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageSquareDiff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm5 19-2 2V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2v10a2 2 0 0 1-2 2' }],\n ['path', { d: 'M9 10h6' }],\n ['path', { d: 'M12 7v6' }],\n ['path', { d: 'M9 17h6' }],\n ],\n];\n\nexport default MessageSquareDiff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-square-dot\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-square-dot\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageSquareDot: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11.7 3H5a2 2 0 0 0-2 2v16l4-4h12a2 2 0 0 0 2-2v-2.7' }],\n ['circle', { cx: '18', cy: '6', r: '3' }],\n ],\n];\n\nexport default MessageSquareDot;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-square-heart\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-square-heart\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageSquareHeart: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z' }],\n [\n 'path',\n {\n d: 'M14.8 7.5a1.84 1.84 0 0 0-2.6 0l-.2.3-.3-.3a1.84 1.84 0 1 0-2.4 2.8L12 13l2.7-2.7c.9-.9.8-2.1.1-2.8',\n },\n ],\n ],\n];\n\nexport default MessageSquareHeart;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-square-more\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-square-more\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageSquareMore: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z' }],\n ['path', { d: 'M8 10h.01' }],\n ['path', { d: 'M12 10h.01' }],\n ['path', { d: 'M16 10h.01' }],\n ],\n];\n\nexport default MessageSquareMore;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-square-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-square-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageSquareOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 15V5a2 2 0 0 0-2-2H9' }],\n ['path', { d: 'm2 2 20 20' }],\n ['path', { d: 'M3.6 3.6c-.4.3-.6.8-.6 1.4v16l4-4h10' }],\n ],\n];\n\nexport default MessageSquareOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-square-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-square-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageSquarePlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z' }],\n ['path', { d: 'M12 7v6' }],\n ['path', { d: 'M9 10h6' }],\n ],\n];\n\nexport default MessageSquarePlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-square-quote\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-square-quote\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageSquareQuote: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z' }],\n ['path', { d: 'M8 12a2 2 0 0 0 2-2V8H8' }],\n ['path', { d: 'M14 12a2 2 0 0 0 2-2V8h-2' }],\n ],\n];\n\nexport default MessageSquareQuote;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-square-reply\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-square-reply\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageSquareReply: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z' }],\n ['path', { d: 'm10 7-3 3 3 3' }],\n ['path', { d: 'M17 13v-1a2 2 0 0 0-2-2H7' }],\n ],\n];\n\nexport default MessageSquareReply;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-square-share\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-square-share\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageSquareShare: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 12v3a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h7' }],\n ['path', { d: 'M16 3h5v5' }],\n ['path', { d: 'm16 8 5-5' }],\n ],\n];\n\nexport default MessageSquareShare;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-square-text\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-square-text\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageSquareText: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z' }],\n ['path', { d: 'M13 8H7' }],\n ['path', { d: 'M17 12H7' }],\n ],\n];\n\nexport default MessageSquareText;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-square-warning\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-square-warning\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageSquareWarning: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z' }],\n ['path', { d: 'M12 7v2' }],\n ['path', { d: 'M12 13h.01' }],\n ],\n];\n\nexport default MessageSquareWarning;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-square-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-square-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageSquareX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z' }],\n ['path', { d: 'm14.5 7.5-5 5' }],\n ['path', { d: 'm9.5 7.5 5 5' }],\n ],\n];\n\nexport default MessageSquareX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name message-square\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/message-square\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessageSquare: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z' }]],\n];\n\nexport default MessageSquare;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name messages-square\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/messages-square\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MessagesSquare: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M14 9a2 2 0 0 1-2 2H6l-4 4V4c0-1.1.9-2 2-2h8a2 2 0 0 1 2 2z' }],\n ['path', { d: 'M18 9h2a2 2 0 0 1 2 2v11l-4-4h-6a2 2 0 0 1-2-2v-1' }],\n ],\n];\n\nexport default MessagesSquare;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mic-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mic-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MicOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ['path', { d: 'M18.89 13.23A7.12 7.12 0 0 0 19 12v-2' }],\n ['path', { d: 'M5 10v2a7 7 0 0 0 12 5' }],\n ['path', { d: 'M15 9.34V5a3 3 0 0 0-5.68-1.33' }],\n ['path', { d: 'M9 9v3a3 3 0 0 0 5.12 2.12' }],\n ['line', { x1: '12', x2: '12', y1: '19', y2: '22' }],\n ],\n];\n\nexport default MicOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mic-vocal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mic-vocal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MicVocal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n { d: 'm11 7.601-5.994 8.19a1 1 0 0 0 .1 1.298l.817.818a1 1 0 0 0 1.314.087L15.09 12' },\n ],\n [\n 'path',\n {\n d: 'M16.5 21.174C15.5 20.5 14.372 20 13 20c-2.058 0-3.928 2.356-6 2-2.072-.356-2.775-3.369-1.5-4.5',\n },\n ],\n ['circle', { cx: '16', cy: '7', r: '5' }],\n ],\n];\n\nexport default MicVocal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mic\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mic\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Mic: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 2a3 3 0 0 0-3 3v7a3 3 0 0 0 6 0V5a3 3 0 0 0-3-3Z' }],\n ['path', { d: 'M19 10v2a7 7 0 0 1-14 0v-2' }],\n ['line', { x1: '12', x2: '12', y1: '19', y2: '22' }],\n ],\n];\n\nexport default Mic;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name microscope\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/microscope\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Microscope: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 18h8' }],\n ['path', { d: 'M3 22h18' }],\n ['path', { d: 'M14 22a7 7 0 1 0 0-14h-1' }],\n ['path', { d: 'M9 14h2' }],\n ['path', { d: 'M9 12a2 2 0 0 1-2-2V6h6v4a2 2 0 0 1-2 2Z' }],\n ['path', { d: 'M12 6V3a1 1 0 0 0-1-1H9a1 1 0 0 0-1 1v3' }],\n ],\n];\n\nexport default Microscope;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name microwave\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/microwave\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Microwave: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '15', x: '2', y: '4', rx: '2' }],\n ['rect', { width: '8', height: '7', x: '6', y: '8', rx: '1' }],\n ['path', { d: 'M18 8v7' }],\n ['path', { d: 'M6 19v2' }],\n ['path', { d: 'M18 19v2' }],\n ],\n];\n\nexport default Microwave;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name milestone\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/milestone\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Milestone: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18 6H5a2 2 0 0 0-2 2v3a2 2 0 0 0 2 2h13l4-3.5L18 6Z' }],\n ['path', { d: 'M12 13v8' }],\n ['path', { d: 'M12 3v3' }],\n ],\n];\n\nexport default Milestone;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name milk-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/milk-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MilkOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 2h8' }],\n [\n 'path',\n {\n d: 'M9 2v1.343M15 2v2.789a4 4 0 0 0 .672 2.219l.656.984a4 4 0 0 1 .672 2.22v1.131M7.8 7.8l-.128.192A4 4 0 0 0 7 10.212V20a2 2 0 0 0 2 2h6a2 2 0 0 0 2-2v-3',\n },\n ],\n ['path', { d: 'M7 15a6.47 6.47 0 0 1 5 0 6.472 6.472 0 0 0 3.435.435' }],\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ],\n];\n\nexport default MilkOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name milk\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/milk\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Milk: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 2h8' }],\n [\n 'path',\n {\n d: 'M9 2v2.789a4 4 0 0 1-.672 2.219l-.656.984A4 4 0 0 0 7 10.212V20a2 2 0 0 0 2 2h6a2 2 0 0 0 2-2v-9.789a4 4 0 0 0-.672-2.219l-.656-.984A4 4 0 0 1 15 4.788V2',\n },\n ],\n ['path', { d: 'M7 15a6.472 6.472 0 0 1 5 0 6.47 6.47 0 0 0 5 0' }],\n ],\n];\n\nexport default Milk;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name minimize-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/minimize-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Minimize2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '4 14 10 14 10 20' }],\n ['polyline', { points: '20 10 14 10 14 4' }],\n ['line', { x1: '14', x2: '21', y1: '10', y2: '3' }],\n ['line', { x1: '3', x2: '10', y1: '21', y2: '14' }],\n ],\n];\n\nexport default Minimize2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name minimize\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/minimize\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Minimize: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 3v3a2 2 0 0 1-2 2H3' }],\n ['path', { d: 'M21 8h-3a2 2 0 0 1-2-2V3' }],\n ['path', { d: 'M3 16h3a2 2 0 0 1 2 2v3' }],\n ['path', { d: 'M16 21v-3a2 2 0 0 1 2-2h3' }],\n ],\n];\n\nexport default Minimize;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Minus: IconNode = ['svg', defaultAttributes, [['path', { d: 'M5 12h14' }]]];\n\nexport default Minus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name monitor-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/monitor-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MonitorCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm9 10 2 2 4-4' }],\n ['rect', { width: '20', height: '14', x: '2', y: '3', rx: '2' }],\n ['path', { d: 'M12 17v4' }],\n ['path', { d: 'M8 21h8' }],\n ],\n];\n\nexport default MonitorCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name monitor-cog\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/monitor-cog\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MonitorCog: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 17v4' }],\n ['path', { d: 'm15.2 4.9-.9-.4' }],\n ['path', { d: 'm15.2 7.1-.9.4' }],\n ['path', { d: 'm16.9 3.2-.4-.9' }],\n ['path', { d: 'm16.9 8.8-.4.9' }],\n ['path', { d: 'm19.5 2.3-.4.9' }],\n ['path', { d: 'm19.5 9.7-.4-.9' }],\n ['path', { d: 'm21.7 4.5-.9.4' }],\n ['path', { d: 'm21.7 7.5-.9-.4' }],\n ['path', { d: 'M22 13v2a2 2 0 0 1-2 2H4a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h7' }],\n ['path', { d: 'M8 21h8' }],\n ['circle', { cx: '18', cy: '6', r: '3' }],\n ],\n];\n\nexport default MonitorCog;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name monitor-dot\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/monitor-dot\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MonitorDot: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '19', cy: '6', r: '3' }],\n ['path', { d: 'M22 12v3a2 2 0 0 1-2 2H4a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h9' }],\n ['path', { d: 'M12 17v4' }],\n ['path', { d: 'M8 21h8' }],\n ],\n];\n\nexport default MonitorDot;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name monitor-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/monitor-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MonitorDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 13V7' }],\n ['path', { d: 'm15 10-3 3-3-3' }],\n ['rect', { width: '20', height: '14', x: '2', y: '3', rx: '2' }],\n ['path', { d: 'M12 17v4' }],\n ['path', { d: 'M8 21h8' }],\n ],\n];\n\nexport default MonitorDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name monitor-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/monitor-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MonitorOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M17 17H4a2 2 0 0 1-2-2V5c0-1.5 1-2 1-2' }],\n ['path', { d: 'M22 15V5a2 2 0 0 0-2-2H9' }],\n ['path', { d: 'M8 21h8' }],\n ['path', { d: 'M12 17v4' }],\n ['path', { d: 'm2 2 20 20' }],\n ],\n];\n\nexport default MonitorOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name monitor-pause\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/monitor-pause\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MonitorPause: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 13V7' }],\n ['path', { d: 'M14 13V7' }],\n ['rect', { width: '20', height: '14', x: '2', y: '3', rx: '2' }],\n ['path', { d: 'M12 17v4' }],\n ['path', { d: 'M8 21h8' }],\n ],\n];\n\nexport default MonitorPause;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name monitor-play\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/monitor-play\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MonitorPlay: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M10 7.75a.75.75 0 0 1 1.142-.638l3.664 2.249a.75.75 0 0 1 0 1.278l-3.664 2.25a.75.75 0 0 1-1.142-.64z',\n },\n ],\n ['path', { d: 'M12 17v4' }],\n ['path', { d: 'M8 21h8' }],\n ['rect', { x: '2', y: '3', width: '20', height: '14', rx: '2' }],\n ],\n];\n\nexport default MonitorPlay;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name monitor-smartphone\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/monitor-smartphone\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MonitorSmartphone: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18 8V6a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2v7a2 2 0 0 0 2 2h8' }],\n ['path', { d: 'M10 19v-3.96 3.15' }],\n ['path', { d: 'M7 19h5' }],\n ['rect', { width: '6', height: '10', x: '16', y: '12', rx: '2' }],\n ],\n];\n\nexport default MonitorSmartphone;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name monitor-speaker\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/monitor-speaker\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MonitorSpeaker: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5.5 20H8' }],\n ['path', { d: 'M17 9h.01' }],\n ['rect', { width: '10', height: '16', x: '12', y: '4', rx: '2' }],\n ['path', { d: 'M8 6H4a2 2 0 0 0-2 2v6a2 2 0 0 0 2 2h4' }],\n ['circle', { cx: '17', cy: '15', r: '1' }],\n ],\n];\n\nexport default MonitorSpeaker;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name monitor-stop\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/monitor-stop\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MonitorStop: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 17v4' }],\n ['path', { d: 'M8 21h8' }],\n ['rect', { x: '2', y: '3', width: '20', height: '14', rx: '2' }],\n ['rect', { x: '9', y: '7', width: '6', height: '6', rx: '1' }],\n ],\n];\n\nexport default MonitorStop;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name monitor-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/monitor-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MonitorUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm9 10 3-3 3 3' }],\n ['path', { d: 'M12 13V7' }],\n ['rect', { width: '20', height: '14', x: '2', y: '3', rx: '2' }],\n ['path', { d: 'M12 17v4' }],\n ['path', { d: 'M8 21h8' }],\n ],\n];\n\nexport default MonitorUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name monitor-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/monitor-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MonitorX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm14.5 12.5-5-5' }],\n ['path', { d: 'm9.5 12.5 5-5' }],\n ['rect', { width: '20', height: '14', x: '2', y: '3', rx: '2' }],\n ['path', { d: 'M12 17v4' }],\n ['path', { d: 'M8 21h8' }],\n ],\n];\n\nexport default MonitorX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name monitor\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/monitor\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Monitor: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '14', x: '2', y: '3', rx: '2' }],\n ['line', { x1: '8', x2: '16', y1: '21', y2: '21' }],\n ['line', { x1: '12', x2: '12', y1: '17', y2: '21' }],\n ],\n];\n\nexport default Monitor;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name moon-star\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/moon-star\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MoonStar: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 3a6 6 0 0 0 9 9 9 9 0 1 1-9-9' }],\n ['path', { d: 'M20 3v4' }],\n ['path', { d: 'M22 5h-4' }],\n ],\n];\n\nexport default MoonStar;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name moon\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/moon\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Moon: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M12 3a6 6 0 0 0 9 9 9 9 0 1 1-9-9Z' }]],\n];\n\nexport default Moon;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mountain-snow\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mountain-snow\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MountainSnow: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm8 3 4 8 5-5 5 15H2L8 3z' }],\n ['path', { d: 'M4.14 15.08c2.62-1.57 5.24-1.43 7.86.42 2.74 1.94 5.49 2 8.23.19' }],\n ],\n];\n\nexport default MountainSnow;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mountain\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mountain\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Mountain: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'm8 3 4 8 5-5 5 15H2L8 3z' }]],\n];\n\nexport default Mountain;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mouse-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mouse-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MouseOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 6v.343' }],\n ['path', { d: 'M18.218 18.218A7 7 0 0 1 5 15V9a7 7 0 0 1 .782-3.218' }],\n ['path', { d: 'M19 13.343V9A7 7 0 0 0 8.56 2.902' }],\n ['path', { d: 'M22 22 2 2' }],\n ],\n];\n\nexport default MouseOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mouse-pointer-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mouse-pointer-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MousePointer2: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'm4 4 7.07 17 2.51-7.39L21 11.07z' }]],\n];\n\nexport default MousePointer2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mouse-pointer-ban\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mouse-pointer-ban\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MousePointerBan: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm2 2 4 11 2-5 5-2Z' }],\n ['circle', { cx: '16', cy: '16', r: '6' }],\n ['path', { d: 'm11.8 11.8 8.4 8.4' }],\n ],\n];\n\nexport default MousePointerBan;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mouse-pointer-click\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mouse-pointer-click\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MousePointerClick: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm9 9 5 12 1.8-5.2L21 14Z' }],\n ['path', { d: 'M7.2 2.2 8 5.1' }],\n ['path', { d: 'm5.1 8-2.9-.8' }],\n ['path', { d: 'M14 4.1 12 6' }],\n ['path', { d: 'm6 12-1.9 2' }],\n ],\n];\n\nexport default MousePointerClick;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mouse-pointer\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mouse-pointer\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MousePointer: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 3 7.07 16.97 2.51-7.39 7.39-2.51L3 3z' }],\n ['path', { d: 'm13 13 6 6' }],\n ],\n];\n\nexport default MousePointer;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name mouse\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/mouse\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Mouse: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { x: '5', y: '2', width: '14', height: '20', rx: '7' }],\n ['path', { d: 'M12 6v4' }],\n ],\n];\n\nexport default Mouse;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name move-3d\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/move-3d\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Move3d: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5 3v16h16' }],\n ['path', { d: 'm5 19 6-6' }],\n ['path', { d: 'm2 6 3-3 3 3' }],\n ['path', { d: 'm18 16 3 3-3 3' }],\n ],\n];\n\nexport default Move3d;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name move-diagonal-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/move-diagonal-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MoveDiagonal2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '5 11 5 5 11 5' }],\n ['polyline', { points: '19 13 19 19 13 19' }],\n ['line', { x1: '5', x2: '19', y1: '5', y2: '19' }],\n ],\n];\n\nexport default MoveDiagonal2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name move-diagonal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/move-diagonal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MoveDiagonal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '13 5 19 5 19 11' }],\n ['polyline', { points: '11 19 5 19 5 13' }],\n ['line', { x1: '19', x2: '5', y1: '5', y2: '19' }],\n ],\n];\n\nexport default MoveDiagonal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name move-down-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/move-down-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MoveDownLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11 19H5V13' }],\n ['path', { d: 'M19 5L5 19' }],\n ],\n];\n\nexport default MoveDownLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name move-down-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/move-down-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MoveDownRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M19 13V19H13' }],\n ['path', { d: 'M5 5L19 19' }],\n ],\n];\n\nexport default MoveDownRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name move-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/move-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MoveDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 18L12 22L16 18' }],\n ['path', { d: 'M12 2V22' }],\n ],\n];\n\nexport default MoveDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name move-horizontal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/move-horizontal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MoveHorizontal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '18 8 22 12 18 16' }],\n ['polyline', { points: '6 8 2 12 6 16' }],\n ['line', { x1: '2', x2: '22', y1: '12', y2: '12' }],\n ],\n];\n\nexport default MoveHorizontal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name move-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/move-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MoveLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 8L2 12L6 16' }],\n ['path', { d: 'M2 12H22' }],\n ],\n];\n\nexport default MoveLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name move-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/move-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MoveRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18 8L22 12L18 16' }],\n ['path', { d: 'M2 12H22' }],\n ],\n];\n\nexport default MoveRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name move-up-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/move-up-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MoveUpLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5 11V5H11' }],\n ['path', { d: 'M5 5L19 19' }],\n ],\n];\n\nexport default MoveUpLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name move-up-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/move-up-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MoveUpRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13 5H19V11' }],\n ['path', { d: 'M19 5L5 19' }],\n ],\n];\n\nexport default MoveUpRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name move-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/move-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MoveUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 6L12 2L16 6' }],\n ['path', { d: 'M12 2V22' }],\n ],\n];\n\nexport default MoveUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name move-vertical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/move-vertical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst MoveVertical: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '8 18 12 22 16 18' }],\n ['polyline', { points: '8 6 12 2 16 6' }],\n ['line', { x1: '12', x2: '12', y1: '2', y2: '22' }],\n ],\n];\n\nexport default MoveVertical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name move\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/move\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Move: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '5 9 2 12 5 15' }],\n ['polyline', { points: '9 5 12 2 15 5' }],\n ['polyline', { points: '15 19 12 22 9 19' }],\n ['polyline', { points: '19 9 22 12 19 15' }],\n ['line', { x1: '2', x2: '22', y1: '12', y2: '12' }],\n ['line', { x1: '12', x2: '12', y1: '2', y2: '22' }],\n ],\n];\n\nexport default Move;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name music-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/music-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Music2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '8', cy: '18', r: '4' }],\n ['path', { d: 'M12 18V2l7 4' }],\n ],\n];\n\nexport default Music2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name music-3\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/music-3\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Music3: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '18', r: '4' }],\n ['path', { d: 'M16 18V2' }],\n ],\n];\n\nexport default Music3;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name music-4\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/music-4\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Music4: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M9 18V5l12-2v13' }],\n ['path', { d: 'm9 9 12-2' }],\n ['circle', { cx: '6', cy: '18', r: '3' }],\n ['circle', { cx: '18', cy: '16', r: '3' }],\n ],\n];\n\nexport default Music4;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name music\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/music\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Music: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M9 18V5l12-2v13' }],\n ['circle', { cx: '6', cy: '18', r: '3' }],\n ['circle', { cx: '18', cy: '16', r: '3' }],\n ],\n];\n\nexport default Music;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name navigation-2-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/navigation-2-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Navigation2Off: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M9.31 9.31 5 21l7-4 7 4-1.17-3.17' }],\n ['path', { d: 'M14.53 8.88 12 2l-1.17 3.17' }],\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ],\n];\n\nexport default Navigation2Off;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name navigation-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/navigation-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Navigation2: IconNode = [\n 'svg',\n defaultAttributes,\n [['polygon', { points: '12 2 19 21 12 17 5 21 12 2' }]],\n];\n\nexport default Navigation2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name navigation-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/navigation-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst NavigationOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8.43 8.43 3 11l8 2 2 8 2.57-5.43' }],\n ['path', { d: 'M17.39 11.73 22 2l-9.73 4.61' }],\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ],\n];\n\nexport default NavigationOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name navigation\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/navigation\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Navigation: IconNode = [\n 'svg',\n defaultAttributes,\n [['polygon', { points: '3 11 22 2 13 21 11 13 3 11' }]],\n];\n\nexport default Navigation;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name network\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/network\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Network: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { x: '16', y: '16', width: '6', height: '6', rx: '1' }],\n ['rect', { x: '2', y: '16', width: '6', height: '6', rx: '1' }],\n ['rect', { x: '9', y: '2', width: '6', height: '6', rx: '1' }],\n ['path', { d: 'M5 16v-3a1 1 0 0 1 1-1h12a1 1 0 0 1 1 1v3' }],\n ['path', { d: 'M12 12V8' }],\n ],\n];\n\nexport default Network;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name newspaper\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/newspaper\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Newspaper: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M4 22h16a2 2 0 0 0 2-2V4a2 2 0 0 0-2-2H8a2 2 0 0 0-2 2v16a2 2 0 0 1-2 2Zm0 0a2 2 0 0 1-2-2v-9c0-1.1.9-2 2-2h2',\n },\n ],\n ['path', { d: 'M18 14h-8' }],\n ['path', { d: 'M15 18h-5' }],\n ['path', { d: 'M10 6h8v4h-8V6Z' }],\n ],\n];\n\nexport default Newspaper;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name nfc\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/nfc\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Nfc: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 8.32a7.43 7.43 0 0 1 0 7.36' }],\n ['path', { d: 'M9.46 6.21a11.76 11.76 0 0 1 0 11.58' }],\n ['path', { d: 'M12.91 4.1a15.91 15.91 0 0 1 .01 15.8' }],\n ['path', { d: 'M16.37 2a20.16 20.16 0 0 1 0 20' }],\n ],\n];\n\nexport default Nfc;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name notebook-pen\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/notebook-pen\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst NotebookPen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13.4 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2v-7.4' }],\n ['path', { d: 'M2 6h4' }],\n ['path', { d: 'M2 10h4' }],\n ['path', { d: 'M2 14h4' }],\n ['path', { d: 'M2 18h4' }],\n [\n 'path',\n {\n d: 'M21.378 5.626a1 1 0 1 0-3.004-3.004l-5.01 5.012a2 2 0 0 0-.506.854l-.837 2.87a.5.5 0 0 0 .62.62l2.87-.837a2 2 0 0 0 .854-.506z',\n },\n ],\n ],\n];\n\nexport default NotebookPen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name notebook-tabs\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/notebook-tabs\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst NotebookTabs: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 6h4' }],\n ['path', { d: 'M2 10h4' }],\n ['path', { d: 'M2 14h4' }],\n ['path', { d: 'M2 18h4' }],\n ['rect', { width: '16', height: '20', x: '4', y: '2', rx: '2' }],\n ['path', { d: 'M15 2v20' }],\n ['path', { d: 'M15 7h5' }],\n ['path', { d: 'M15 12h5' }],\n ['path', { d: 'M15 17h5' }],\n ],\n];\n\nexport default NotebookTabs;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name notebook-text\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/notebook-text\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst NotebookText: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 6h4' }],\n ['path', { d: 'M2 10h4' }],\n ['path', { d: 'M2 14h4' }],\n ['path', { d: 'M2 18h4' }],\n ['rect', { width: '16', height: '20', x: '4', y: '2', rx: '2' }],\n ['path', { d: 'M9.5 8h5' }],\n ['path', { d: 'M9.5 12H16' }],\n ['path', { d: 'M9.5 16H14' }],\n ],\n];\n\nexport default NotebookText;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name notebook\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/notebook\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Notebook: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 6h4' }],\n ['path', { d: 'M2 10h4' }],\n ['path', { d: 'M2 14h4' }],\n ['path', { d: 'M2 18h4' }],\n ['rect', { width: '16', height: '20', x: '4', y: '2', rx: '2' }],\n ['path', { d: 'M16 2v20' }],\n ],\n];\n\nexport default Notebook;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name notepad-text-dashed\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/notepad-text-dashed\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst NotepadTextDashed: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 2v4' }],\n ['path', { d: 'M12 2v4' }],\n ['path', { d: 'M16 2v4' }],\n ['path', { d: 'M16 4h2a2 2 0 0 1 2 2v2' }],\n ['path', { d: 'M20 12v2' }],\n ['path', { d: 'M20 18v2a2 2 0 0 1-2 2h-1' }],\n ['path', { d: 'M13 22h-2' }],\n ['path', { d: 'M7 22H6a2 2 0 0 1-2-2v-2' }],\n ['path', { d: 'M4 14v-2' }],\n ['path', { d: 'M4 8V6a2 2 0 0 1 2-2h2' }],\n ['path', { d: 'M8 10h6' }],\n ['path', { d: 'M8 14h8' }],\n ['path', { d: 'M8 18h5' }],\n ],\n];\n\nexport default NotepadTextDashed;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name notepad-text\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/notepad-text\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst NotepadText: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 2v4' }],\n ['path', { d: 'M12 2v4' }],\n ['path', { d: 'M16 2v4' }],\n ['rect', { width: '16', height: '18', x: '4', y: '4', rx: '2' }],\n ['path', { d: 'M8 10h6' }],\n ['path', { d: 'M8 14h8' }],\n ['path', { d: 'M8 18h5' }],\n ],\n];\n\nexport default NotepadText;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name nut-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/nut-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst NutOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 4V2' }],\n [\n 'path',\n {\n d: 'M5 10v4a7.004 7.004 0 0 0 5.277 6.787c.412.104.802.292 1.102.592L12 22l.621-.621c.3-.3.69-.488 1.102-.592a7.01 7.01 0 0 0 4.125-2.939',\n },\n ],\n ['path', { d: 'M19 10v3.343' }],\n [\n 'path',\n {\n d: 'M12 12c-1.349-.573-1.905-1.005-2.5-2-.546.902-1.048 1.353-2.5 2-1.018-.644-1.46-1.08-2-2-1.028.71-1.69.918-3 1 1.081-1.048 1.757-2.03 2-3 .194-.776.84-1.551 1.79-2.21m11.654 5.997c.887-.457 1.28-.891 1.556-1.787 1.032.916 1.683 1.157 3 1-1.297-1.036-1.758-2.03-2-3-.5-2-4-4-8-4-.74 0-1.461.068-2.15.192',\n },\n ],\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ],\n];\n\nexport default NutOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name nut\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/nut\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Nut: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 4V2' }],\n [\n 'path',\n {\n d: 'M5 10v4a7.004 7.004 0 0 0 5.277 6.787c.412.104.802.292 1.102.592L12 22l.621-.621c.3-.3.69-.488 1.102-.592A7.003 7.003 0 0 0 19 14v-4',\n },\n ],\n [\n 'path',\n {\n d: 'M12 4C8 4 4.5 6 4 8c-.243.97-.919 1.952-2 3 1.31-.082 1.972-.29 3-1 .54.92.982 1.356 2 2 1.452-.647 1.954-1.098 2.5-2 .595.995 1.151 1.427 2.5 2 1.31-.621 1.862-1.058 2.5-2 .629.977 1.162 1.423 2.5 2 1.209-.548 1.68-.967 2-2 1.032.916 1.683 1.157 3 1-1.297-1.036-1.758-2.03-2-3-.5-2-4-4-8-4Z',\n },\n ],\n ],\n];\n\nexport default Nut;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name octagon-alert\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/octagon-alert\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst OctagonAlert: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 16h.01' }],\n ['path', { d: 'M12 8v4' }],\n [\n 'path',\n {\n d: 'M15.312 2a2 2 0 0 1 1.414.586l4.688 4.688A2 2 0 0 1 22 8.688v6.624a2 2 0 0 1-.586 1.414l-4.688 4.688a2 2 0 0 1-1.414.586H8.688a2 2 0 0 1-1.414-.586l-4.688-4.688A2 2 0 0 1 2 15.312V8.688a2 2 0 0 1 .586-1.414l4.688-4.688A2 2 0 0 1 8.688 2z',\n },\n ],\n ],\n];\n\nexport default OctagonAlert;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name octagon-pause\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/octagon-pause\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst OctagonPause: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 15V9' }],\n ['path', { d: 'M14 15V9' }],\n [\n 'path',\n {\n d: 'M2.586 16.872A2 2 0 0 1 2 15.458V8.542a2 2 0 0 1 .586-1.414l4.542-4.542A2 2 0 0 1 8.542 2h6.916a2 2 0 0 1 1.414.586l4.542 4.542A2 2 0 0 1 22 8.542v6.916a2 2 0 0 1-.586 1.414l-4.542 4.542a2 2 0 0 1-1.414.586H8.542a2 2 0 0 1-1.414-.586z',\n },\n ],\n ],\n];\n\nexport default OctagonPause;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name octagon-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/octagon-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst OctagonX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm15 9-6 6' }],\n [\n 'path',\n {\n d: 'M2.586 16.726A2 2 0 0 1 2 15.312V8.688a2 2 0 0 1 .586-1.414l4.688-4.688A2 2 0 0 1 8.688 2h6.624a2 2 0 0 1 1.414.586l4.688 4.688A2 2 0 0 1 22 8.688v6.624a2 2 0 0 1-.586 1.414l-4.688 4.688a2 2 0 0 1-1.414.586H8.688a2 2 0 0 1-1.414-.586z',\n },\n ],\n ['path', { d: 'm9 9 6 6' }],\n ],\n];\n\nexport default OctagonX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name octagon\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/octagon\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Octagon: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2.586 16.726A2 2 0 0 1 2 15.312V8.688a2 2 0 0 1 .586-1.414l4.688-4.688A2 2 0 0 1 8.688 2h6.624a2 2 0 0 1 1.414.586l4.688 4.688A2 2 0 0 1 22 8.688v6.624a2 2 0 0 1-.586 1.414l-4.688 4.688a2 2 0 0 1-1.414.586H8.688a2 2 0 0 1-1.414-.586z',\n },\n ],\n ],\n];\n\nexport default Octagon;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name option\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/option\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Option: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 3h6l6 18h6' }],\n ['path', { d: 'M14 3h7' }],\n ],\n];\n\nexport default Option;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name orbit\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/orbit\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Orbit: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '3' }],\n ['circle', { cx: '19', cy: '5', r: '2' }],\n ['circle', { cx: '5', cy: '19', r: '2' }],\n ['path', { d: 'M10.4 21.9a10 10 0 0 0 9.941-15.416' }],\n ['path', { d: 'M13.5 2.1a10 10 0 0 0-9.841 15.416' }],\n ],\n];\n\nexport default Orbit;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name origami\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/origami\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Origami: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 12V4a1 1 0 0 1 1-1h6.297a1 1 0 0 1 .651 1.759l-4.696 4.025' }],\n [\n 'path',\n { d: 'm12 21-7.414-7.414A2 2 0 0 1 4 12.172V6.415a1.002 1.002 0 0 1 1.707-.707L20 20.009' },\n ],\n [\n 'path',\n {\n d: 'm12.214 3.381 8.414 14.966a1 1 0 0 1-.167 1.199l-1.168 1.163a1 1 0 0 1-.706.291H6.351a1 1 0 0 1-.625-.219L3.25 18.8a1 1 0 0 1 .631-1.781l4.165.027',\n },\n ],\n ],\n];\n\nexport default Origami;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name package-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/package-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Package2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 9h18v10a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V9Z' }],\n ['path', { d: 'm3 9 2.45-4.9A2 2 0 0 1 7.24 3h9.52a2 2 0 0 1 1.8 1.1L21 9' }],\n ['path', { d: 'M12 3v6' }],\n ],\n];\n\nexport default Package2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name package-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/package-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PackageCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm16 16 2 2 4-4' }],\n [\n 'path',\n {\n d: 'M21 10V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l2-1.14',\n },\n ],\n ['path', { d: 'm7.5 4.27 9 5.15' }],\n ['polyline', { points: '3.29 7 12 12 20.71 7' }],\n ['line', { x1: '12', x2: '12', y1: '22', y2: '12' }],\n ],\n];\n\nexport default PackageCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name package-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/package-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PackageMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 16h6' }],\n [\n 'path',\n {\n d: 'M21 10V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l2-1.14',\n },\n ],\n ['path', { d: 'm7.5 4.27 9 5.15' }],\n ['polyline', { points: '3.29 7 12 12 20.71 7' }],\n ['line', { x1: '12', x2: '12', y1: '22', y2: '12' }],\n ],\n];\n\nexport default PackageMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name package-open\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/package-open\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PackageOpen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 22v-9' }],\n [\n 'path',\n {\n d: 'M15.17 2.21a1.67 1.67 0 0 1 1.63 0L21 4.57a1.93 1.93 0 0 1 0 3.36L8.82 14.79a1.655 1.655 0 0 1-1.64 0L3 12.43a1.93 1.93 0 0 1 0-3.36z',\n },\n ],\n [\n 'path',\n {\n d: 'M20 13v3.87a2.06 2.06 0 0 1-1.11 1.83l-6 3.08a1.93 1.93 0 0 1-1.78 0l-6-3.08A2.06 2.06 0 0 1 4 16.87V13',\n },\n ],\n [\n 'path',\n {\n d: 'M21 12.43a1.93 1.93 0 0 0 0-3.36L8.83 2.2a1.64 1.64 0 0 0-1.63 0L3 4.57a1.93 1.93 0 0 0 0 3.36l12.18 6.86a1.636 1.636 0 0 0 1.63 0z',\n },\n ],\n ],\n];\n\nexport default PackageOpen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name package-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/package-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PackagePlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 16h6' }],\n ['path', { d: 'M19 13v6' }],\n [\n 'path',\n {\n d: 'M21 10V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l2-1.14',\n },\n ],\n ['path', { d: 'm7.5 4.27 9 5.15' }],\n ['polyline', { points: '3.29 7 12 12 20.71 7' }],\n ['line', { x1: '12', x2: '12', y1: '22', y2: '12' }],\n ],\n];\n\nexport default PackagePlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name package-search\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/package-search\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PackageSearch: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M21 10V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l2-1.14',\n },\n ],\n ['path', { d: 'm7.5 4.27 9 5.15' }],\n ['polyline', { points: '3.29 7 12 12 20.71 7' }],\n ['line', { x1: '12', x2: '12', y1: '22', y2: '12' }],\n ['circle', { cx: '18.5', cy: '15.5', r: '2.5' }],\n ['path', { d: 'M20.27 17.27 22 19' }],\n ],\n];\n\nexport default PackageSearch;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name package-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/package-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PackageX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M21 10V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l2-1.14',\n },\n ],\n ['path', { d: 'm7.5 4.27 9 5.15' }],\n ['polyline', { points: '3.29 7 12 12 20.71 7' }],\n ['line', { x1: '12', x2: '12', y1: '22', y2: '12' }],\n ['path', { d: 'm17 13 5 5m-5 0 5-5' }],\n ],\n];\n\nexport default PackageX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name package\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/package\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Package: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm7.5 4.27 9 5.15' }],\n [\n 'path',\n {\n d: 'M21 8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16Z',\n },\n ],\n ['path', { d: 'm3.3 7 8.7 5 8.7-5' }],\n ['path', { d: 'M12 22V12' }],\n ],\n];\n\nexport default Package;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name paint-bucket\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/paint-bucket\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PaintBucket: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm19 11-8-8-8.6 8.6a2 2 0 0 0 0 2.8l5.2 5.2c.8.8 2 .8 2.8 0L19 11Z' }],\n ['path', { d: 'm5 2 5 5' }],\n ['path', { d: 'M2 13h15' }],\n ['path', { d: 'M22 20a2 2 0 1 1-4 0c0-1.6 1.7-2.4 2-4 .3 1.6 2 2.4 2 4Z' }],\n ],\n];\n\nexport default PaintBucket;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name paint-roller\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/paint-roller\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PaintRoller: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '16', height: '6', x: '2', y: '2', rx: '2' }],\n ['path', { d: 'M10 16v-2a2 2 0 0 1 2-2h8a2 2 0 0 0 2-2V7a2 2 0 0 0-2-2h-2' }],\n ['rect', { width: '4', height: '6', x: '8', y: '16', rx: '1' }],\n ],\n];\n\nexport default PaintRoller;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name paintbrush-vertical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/paintbrush-vertical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PaintbrushVertical: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 2v2' }],\n ['path', { d: 'M14 2v4' }],\n ['path', { d: 'M17 2a1 1 0 0 1 1 1v9H6V3a1 1 0 0 1 1-1z' }],\n [\n 'path',\n {\n d: 'M6 12a1 1 0 0 0-1 1v1a2 2 0 0 0 2 2h2a1 1 0 0 1 1 1v2.9a2 2 0 1 0 4 0V17a1 1 0 0 1 1-1h2a2 2 0 0 0 2-2v-1a1 1 0 0 0-1-1',\n },\n ],\n ],\n];\n\nexport default PaintbrushVertical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name paintbrush\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/paintbrush\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Paintbrush: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm14.622 17.897-10.68-2.913' }],\n [\n 'path',\n {\n d: 'M18.376 2.622a1 1 0 1 1 3.002 3.002L17.36 9.643a.5.5 0 0 0 0 .707l.944.944a2.41 2.41 0 0 1 0 3.408l-.944.944a.5.5 0 0 1-.707 0L8.354 7.348a.5.5 0 0 1 0-.707l.944-.944a2.41 2.41 0 0 1 3.408 0l.944.944a.5.5 0 0 0 .707 0z',\n },\n ],\n [\n 'path',\n {\n d: 'M9 8c-1.804 2.71-3.97 3.46-6.583 3.948a.507.507 0 0 0-.302.819l7.32 8.883a1 1 0 0 0 1.185.204C12.735 20.405 16 16.792 16 15',\n },\n ],\n ],\n];\n\nexport default Paintbrush;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name palette\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/palette\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Palette: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '13.5', cy: '6.5', r: '.5', fill: 'currentColor' }],\n ['circle', { cx: '17.5', cy: '10.5', r: '.5', fill: 'currentColor' }],\n ['circle', { cx: '8.5', cy: '7.5', r: '.5', fill: 'currentColor' }],\n ['circle', { cx: '6.5', cy: '12.5', r: '.5', fill: 'currentColor' }],\n [\n 'path',\n {\n d: 'M12 2C6.5 2 2 6.5 2 12s4.5 10 10 10c.926 0 1.648-.746 1.648-1.688 0-.437-.18-.835-.437-1.125-.29-.289-.438-.652-.438-1.125a1.64 1.64 0 0 1 1.668-1.668h1.996c3.051 0 5.555-2.503 5.555-5.554C21.965 6.012 17.461 2 12 2z',\n },\n ],\n ],\n];\n\nexport default Palette;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name panel-bottom-close\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/panel-bottom-close\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PanelBottomClose: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M3 15h18' }],\n ['path', { d: 'm15 8-3 3-3-3' }],\n ],\n];\n\nexport default PanelBottomClose;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name panel-bottom-dashed\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/panel-bottom-dashed\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PanelBottomDashed: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M14 15h1' }],\n ['path', { d: 'M19 15h2' }],\n ['path', { d: 'M3 15h2' }],\n ['path', { d: 'M9 15h1' }],\n ],\n];\n\nexport default PanelBottomDashed;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name panel-bottom-open\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/panel-bottom-open\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PanelBottomOpen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M3 15h18' }],\n ['path', { d: 'm9 10 3-3 3 3' }],\n ],\n];\n\nexport default PanelBottomOpen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name panel-bottom\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/panel-bottom\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PanelBottom: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M3 15h18' }],\n ],\n];\n\nexport default PanelBottom;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name panel-left-close\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/panel-left-close\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PanelLeftClose: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M9 3v18' }],\n ['path', { d: 'm16 15-3-3 3-3' }],\n ],\n];\n\nexport default PanelLeftClose;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name panel-left-dashed\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/panel-left-dashed\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PanelLeftDashed: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M9 14v1' }],\n ['path', { d: 'M9 19v2' }],\n ['path', { d: 'M9 3v2' }],\n ['path', { d: 'M9 9v1' }],\n ],\n];\n\nexport default PanelLeftDashed;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name panel-left-open\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/panel-left-open\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PanelLeftOpen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M9 3v18' }],\n ['path', { d: 'm14 9 3 3-3 3' }],\n ],\n];\n\nexport default PanelLeftOpen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name panel-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/panel-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PanelLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M9 3v18' }],\n ],\n];\n\nexport default PanelLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name panel-right-close\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/panel-right-close\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PanelRightClose: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M15 3v18' }],\n ['path', { d: 'm8 9 3 3-3 3' }],\n ],\n];\n\nexport default PanelRightClose;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name panel-right-dashed\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/panel-right-dashed\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PanelRightDashed: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M15 14v1' }],\n ['path', { d: 'M15 19v2' }],\n ['path', { d: 'M15 3v2' }],\n ['path', { d: 'M15 9v1' }],\n ],\n];\n\nexport default PanelRightDashed;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name panel-right-open\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/panel-right-open\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PanelRightOpen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M15 3v18' }],\n ['path', { d: 'm10 15-3-3 3-3' }],\n ],\n];\n\nexport default PanelRightOpen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name panel-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/panel-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PanelRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M15 3v18' }],\n ],\n];\n\nexport default PanelRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name panel-top-close\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/panel-top-close\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PanelTopClose: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M3 9h18' }],\n ['path', { d: 'm9 16 3-3 3 3' }],\n ],\n];\n\nexport default PanelTopClose;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name panel-top-dashed\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/panel-top-dashed\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PanelTopDashed: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M14 9h1' }],\n ['path', { d: 'M19 9h2' }],\n ['path', { d: 'M3 9h2' }],\n ['path', { d: 'M9 9h1' }],\n ],\n];\n\nexport default PanelTopDashed;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name panel-top-open\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/panel-top-open\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PanelTopOpen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M3 9h18' }],\n ['path', { d: 'm15 14-3 3-3-3' }],\n ],\n];\n\nexport default PanelTopOpen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name panel-top\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/panel-top\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PanelTop: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M3 9h18' }],\n ],\n];\n\nexport default PanelTop;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name panels-left-bottom\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/panels-left-bottom\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PanelsLeftBottom: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M9 3v18' }],\n ['path', { d: 'M9 15h12' }],\n ],\n];\n\nexport default PanelsLeftBottom;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name panels-right-bottom\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/panels-right-bottom\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PanelsRightBottom: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M3 15h12' }],\n ['path', { d: 'M15 3v18' }],\n ],\n];\n\nexport default PanelsRightBottom;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name panels-top-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/panels-top-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PanelsTopLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M3 9h18' }],\n ['path', { d: 'M9 21V9' }],\n ],\n];\n\nexport default PanelsTopLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name paperclip\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/paperclip\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Paperclip: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm21.44 11.05-9.19 9.19a6 6 0 0 1-8.49-8.49l8.57-8.57A4 4 0 1 1 18 8.84l-8.59 8.57a2 2 0 0 1-2.83-2.83l8.49-8.48',\n },\n ],\n ],\n];\n\nexport default Paperclip;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name parentheses\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/parentheses\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Parentheses: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 21s-4-3-4-9 4-9 4-9' }],\n ['path', { d: 'M16 3s4 3 4 9-4 9-4 9' }],\n ],\n];\n\nexport default Parentheses;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name parking-meter\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/parking-meter\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ParkingMeter: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M9 9a3 3 0 1 1 6 0' }],\n ['path', { d: 'M12 12v3' }],\n ['path', { d: 'M11 15h2' }],\n [\n 'path',\n { d: 'M19 9a7 7 0 1 0-13.6 2.3C6.4 14.4 8 19 8 19h8s1.6-4.6 2.6-7.7c.3-.8.4-1.5.4-2.3' },\n ],\n ['path', { d: 'M12 19v3' }],\n ],\n];\n\nexport default ParkingMeter;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name party-popper\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/party-popper\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PartyPopper: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5.8 11.3 2 22l10.7-3.79' }],\n ['path', { d: 'M4 3h.01' }],\n ['path', { d: 'M22 8h.01' }],\n ['path', { d: 'M15 2h.01' }],\n ['path', { d: 'M22 20h.01' }],\n [\n 'path',\n {\n d: 'm22 2-2.24.75a2.9 2.9 0 0 0-1.96 3.12c.1.86-.57 1.63-1.45 1.63h-.38c-.86 0-1.6.6-1.76 1.44L14 10',\n },\n ],\n ['path', { d: 'm22 13-.82-.33c-.86-.34-1.82.2-1.98 1.11c-.11.7-.72 1.22-1.43 1.22H17' }],\n ['path', { d: 'm11 2 .33.82c.34.86-.2 1.82-1.11 1.98C9.52 4.9 9 5.52 9 6.23V7' }],\n [\n 'path',\n {\n d: 'M11 13c1.93 1.93 2.83 4.17 2 5-.83.83-3.07-.07-5-2-1.93-1.93-2.83-4.17-2-5 .83-.83 3.07.07 5 2Z',\n },\n ],\n ],\n];\n\nexport default PartyPopper;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pause\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pause\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Pause: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { x: '14', y: '4', width: '4', height: '16', rx: '1' }],\n ['rect', { x: '6', y: '4', width: '4', height: '16', rx: '1' }],\n ],\n];\n\nexport default Pause;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name paw-print\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/paw-print\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PawPrint: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '11', cy: '4', r: '2' }],\n ['circle', { cx: '18', cy: '8', r: '2' }],\n ['circle', { cx: '20', cy: '16', r: '2' }],\n [\n 'path',\n {\n d: 'M9 10a5 5 0 0 1 5 5v3.5a3.5 3.5 0 0 1-6.84 1.045Q6.52 17.48 4.46 16.84A3.5 3.5 0 0 1 5.5 10Z',\n },\n ],\n ],\n];\n\nexport default PawPrint;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pc-case\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pc-case\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PcCase: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '14', height: '20', x: '5', y: '2', rx: '2' }],\n ['path', { d: 'M15 14h.01' }],\n ['path', { d: 'M9 6h6' }],\n ['path', { d: 'M9 10h6' }],\n ],\n];\n\nexport default PcCase;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pen-line\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pen-line\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PenLine: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 20h9' }],\n [\n 'path',\n {\n d: 'M16.376 3.622a1 1 0 0 1 3.002 3.002L7.368 18.635a2 2 0 0 1-.855.506l-2.872.838a.5.5 0 0 1-.62-.62l.838-2.872a2 2 0 0 1 .506-.854z',\n },\n ],\n ],\n];\n\nexport default PenLine;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pen-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pen-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PenOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm10 10-6.157 6.162a2 2 0 0 0-.5.833l-1.322 4.36a.5.5 0 0 0 .622.624l4.358-1.323a2 2 0 0 0 .83-.5L14 13.982',\n },\n ],\n ['path', { d: 'm12.829 7.172 4.359-4.346a1 1 0 1 1 3.986 3.986l-4.353 4.353' }],\n ['path', { d: 'm2 2 20 20' }],\n ],\n];\n\nexport default PenOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pen-tool\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pen-tool\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PenTool: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M15.707 21.293a1 1 0 0 1-1.414 0l-1.586-1.586a1 1 0 0 1 0-1.414l5.586-5.586a1 1 0 0 1 1.414 0l1.586 1.586a1 1 0 0 1 0 1.414z',\n },\n ],\n [\n 'path',\n {\n d: 'm18 13-1.375-6.874a1 1 0 0 0-.746-.776L3.235 2.028a1 1 0 0 0-1.207 1.207L5.35 15.879a1 1 0 0 0 .776.746L13 18',\n },\n ],\n ['path', { d: 'm2.3 2.3 7.286 7.286' }],\n ['circle', { cx: '11', cy: '11', r: '2' }],\n ],\n];\n\nexport default PenTool;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pen\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pen\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Pen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M21.174 6.812a1 1 0 0 0-3.986-3.987L3.842 16.174a2 2 0 0 0-.5.83l-1.321 4.352a.5.5 0 0 0 .623.622l4.353-1.32a2 2 0 0 0 .83-.497z',\n },\n ],\n ],\n];\n\nexport default Pen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pencil-line\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pencil-line\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PencilLine: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 20h9' }],\n [\n 'path',\n {\n d: 'M16.376 3.622a1 1 0 0 1 3.002 3.002L7.368 18.635a2 2 0 0 1-.855.506l-2.872.838a.5.5 0 0 1-.62-.62l.838-2.872a2 2 0 0 1 .506-.854z',\n },\n ],\n ['path', { d: 'm15 5 3 3' }],\n ],\n];\n\nexport default PencilLine;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pencil-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pencil-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PencilOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm10 10-6.157 6.162a2 2 0 0 0-.5.833l-1.322 4.36a.5.5 0 0 0 .622.624l4.358-1.323a2 2 0 0 0 .83-.5L14 13.982',\n },\n ],\n ['path', { d: 'm12.829 7.172 4.359-4.346a1 1 0 1 1 3.986 3.986l-4.353 4.353' }],\n ['path', { d: 'm15 5 4 4' }],\n ['path', { d: 'm2 2 20 20' }],\n ],\n];\n\nexport default PencilOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pencil-ruler\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pencil-ruler\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PencilRuler: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13 7 8.7 2.7a2.41 2.41 0 0 0-3.4 0L2.7 5.3a2.41 2.41 0 0 0 0 3.4L7 13' }],\n ['path', { d: 'm8 6 2-2' }],\n ['path', { d: 'm18 16 2-2' }],\n ['path', { d: 'm17 11 4.3 4.3c.94.94.94 2.46 0 3.4l-2.6 2.6c-.94.94-2.46.94-3.4 0L11 17' }],\n [\n 'path',\n {\n d: 'M21.174 6.812a1 1 0 0 0-3.986-3.987L3.842 16.174a2 2 0 0 0-.5.83l-1.321 4.352a.5.5 0 0 0 .623.622l4.353-1.32a2 2 0 0 0 .83-.497z',\n },\n ],\n ['path', { d: 'm15 5 4 4' }],\n ],\n];\n\nexport default PencilRuler;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pencil\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pencil\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Pencil: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M21.174 6.812a1 1 0 0 0-3.986-3.987L3.842 16.174a2 2 0 0 0-.5.83l-1.321 4.352a.5.5 0 0 0 .623.622l4.353-1.32a2 2 0 0 0 .83-.497z',\n },\n ],\n ['path', { d: 'm15 5 4 4' }],\n ],\n];\n\nexport default Pencil;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pentagon\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pentagon\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Pentagon: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3.5 8.7c-.7.5-1 1.4-.7 2.2l2.8 8.7c.3.8 1 1.4 1.9 1.4h9.1c.9 0 1.6-.6 1.9-1.4l2.8-8.7c.3-.8 0-1.7-.7-2.2l-7.4-5.3a2.1 2.1 0 0 0-2.4 0Z',\n },\n ],\n ],\n];\n\nexport default Pentagon;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name percent\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/percent\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Percent: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '19', x2: '5', y1: '5', y2: '19' }],\n ['circle', { cx: '6.5', cy: '6.5', r: '2.5' }],\n ['circle', { cx: '17.5', cy: '17.5', r: '2.5' }],\n ],\n];\n\nexport default Percent;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name person-standing\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/person-standing\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PersonStanding: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '5', r: '1' }],\n ['path', { d: 'm9 20 3-6 3 6' }],\n ['path', { d: 'm6 8 6 2 6-2' }],\n ['path', { d: 'M12 10v4' }],\n ],\n];\n\nexport default PersonStanding;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name philippine-peso\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/philippine-peso\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PhilippinePeso: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M20 11H4' }],\n ['path', { d: 'M20 7H4' }],\n ['path', { d: 'M7 21V4a1 1 0 0 1 1-1h4a1 1 0 0 1 0 12H7' }],\n ],\n];\n\nexport default PhilippinePeso;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name phone-call\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/phone-call\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PhoneCall: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M22 16.92v3a2 2 0 0 1-2.18 2 19.79 19.79 0 0 1-8.63-3.07 19.5 19.5 0 0 1-6-6 19.79 19.79 0 0 1-3.07-8.67A2 2 0 0 1 4.11 2h3a2 2 0 0 1 2 1.72 12.84 12.84 0 0 0 .7 2.81 2 2 0 0 1-.45 2.11L8.09 9.91a16 16 0 0 0 6 6l1.27-1.27a2 2 0 0 1 2.11-.45 12.84 12.84 0 0 0 2.81.7A2 2 0 0 1 22 16.92z',\n },\n ],\n ['path', { d: 'M14.05 2a9 9 0 0 1 8 7.94' }],\n ['path', { d: 'M14.05 6A5 5 0 0 1 18 10' }],\n ],\n];\n\nexport default PhoneCall;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name phone-forwarded\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/phone-forwarded\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PhoneForwarded: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '18 2 22 6 18 10' }],\n ['line', { x1: '14', x2: '22', y1: '6', y2: '6' }],\n [\n 'path',\n {\n d: 'M22 16.92v3a2 2 0 0 1-2.18 2 19.79 19.79 0 0 1-8.63-3.07 19.5 19.5 0 0 1-6-6 19.79 19.79 0 0 1-3.07-8.67A2 2 0 0 1 4.11 2h3a2 2 0 0 1 2 1.72 12.84 12.84 0 0 0 .7 2.81 2 2 0 0 1-.45 2.11L8.09 9.91a16 16 0 0 0 6 6l1.27-1.27a2 2 0 0 1 2.11-.45 12.84 12.84 0 0 0 2.81.7A2 2 0 0 1 22 16.92z',\n },\n ],\n ],\n];\n\nexport default PhoneForwarded;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name phone-incoming\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/phone-incoming\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PhoneIncoming: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '16 2 16 8 22 8' }],\n ['line', { x1: '22', x2: '16', y1: '2', y2: '8' }],\n [\n 'path',\n {\n d: 'M22 16.92v3a2 2 0 0 1-2.18 2 19.79 19.79 0 0 1-8.63-3.07 19.5 19.5 0 0 1-6-6 19.79 19.79 0 0 1-3.07-8.67A2 2 0 0 1 4.11 2h3a2 2 0 0 1 2 1.72 12.84 12.84 0 0 0 .7 2.81 2 2 0 0 1-.45 2.11L8.09 9.91a16 16 0 0 0 6 6l1.27-1.27a2 2 0 0 1 2.11-.45 12.84 12.84 0 0 0 2.81.7A2 2 0 0 1 22 16.92z',\n },\n ],\n ],\n];\n\nexport default PhoneIncoming;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name phone-missed\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/phone-missed\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PhoneMissed: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '22', x2: '16', y1: '2', y2: '8' }],\n ['line', { x1: '16', x2: '22', y1: '2', y2: '8' }],\n [\n 'path',\n {\n d: 'M22 16.92v3a2 2 0 0 1-2.18 2 19.79 19.79 0 0 1-8.63-3.07 19.5 19.5 0 0 1-6-6 19.79 19.79 0 0 1-3.07-8.67A2 2 0 0 1 4.11 2h3a2 2 0 0 1 2 1.72 12.84 12.84 0 0 0 .7 2.81 2 2 0 0 1-.45 2.11L8.09 9.91a16 16 0 0 0 6 6l1.27-1.27a2 2 0 0 1 2.11-.45 12.84 12.84 0 0 0 2.81.7A2 2 0 0 1 22 16.92z',\n },\n ],\n ],\n];\n\nexport default PhoneMissed;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name phone-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/phone-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PhoneOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M10.68 13.31a16 16 0 0 0 3.41 2.6l1.27-1.27a2 2 0 0 1 2.11-.45 12.84 12.84 0 0 0 2.81.7 2 2 0 0 1 1.72 2v3a2 2 0 0 1-2.18 2 19.79 19.79 0 0 1-8.63-3.07 19.42 19.42 0 0 1-3.33-2.67m-2.67-3.34a19.79 19.79 0 0 1-3.07-8.63A2 2 0 0 1 4.11 2h3a2 2 0 0 1 2 1.72 12.84 12.84 0 0 0 .7 2.81 2 2 0 0 1-.45 2.11L8.09 9.91',\n },\n ],\n ['line', { x1: '22', x2: '2', y1: '2', y2: '22' }],\n ],\n];\n\nexport default PhoneOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name phone-outgoing\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/phone-outgoing\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PhoneOutgoing: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '22 8 22 2 16 2' }],\n ['line', { x1: '16', x2: '22', y1: '8', y2: '2' }],\n [\n 'path',\n {\n d: 'M22 16.92v3a2 2 0 0 1-2.18 2 19.79 19.79 0 0 1-8.63-3.07 19.5 19.5 0 0 1-6-6 19.79 19.79 0 0 1-3.07-8.67A2 2 0 0 1 4.11 2h3a2 2 0 0 1 2 1.72 12.84 12.84 0 0 0 .7 2.81 2 2 0 0 1-.45 2.11L8.09 9.91a16 16 0 0 0 6 6l1.27-1.27a2 2 0 0 1 2.11-.45 12.84 12.84 0 0 0 2.81.7A2 2 0 0 1 22 16.92z',\n },\n ],\n ],\n];\n\nexport default PhoneOutgoing;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name phone\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/phone\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Phone: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M22 16.92v3a2 2 0 0 1-2.18 2 19.79 19.79 0 0 1-8.63-3.07 19.5 19.5 0 0 1-6-6 19.79 19.79 0 0 1-3.07-8.67A2 2 0 0 1 4.11 2h3a2 2 0 0 1 2 1.72 12.84 12.84 0 0 0 .7 2.81 2 2 0 0 1-.45 2.11L8.09 9.91a16 16 0 0 0 6 6l1.27-1.27a2 2 0 0 1 2.11-.45 12.84 12.84 0 0 0 2.81.7A2 2 0 0 1 22 16.92z',\n },\n ],\n ],\n];\n\nexport default Phone;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pi\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pi\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Pi: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '9', x2: '9', y1: '4', y2: '20' }],\n ['path', { d: 'M4 7c0-1.7 1.3-3 3-3h13' }],\n ['path', { d: 'M18 20c-1.7 0-3-1.3-3-3V4' }],\n ],\n];\n\nexport default Pi;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name piano\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/piano\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Piano: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M18.5 8c-1.4 0-2.6-.8-3.2-2A6.87 6.87 0 0 0 2 9v11a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2v-8.5C22 9.6 20.4 8 18.5 8',\n },\n ],\n ['path', { d: 'M2 14h20' }],\n ['path', { d: 'M6 14v4' }],\n ['path', { d: 'M10 14v4' }],\n ['path', { d: 'M14 14v4' }],\n ['path', { d: 'M18 14v4' }],\n ],\n];\n\nexport default Piano;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pickaxe\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pickaxe\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Pickaxe: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M14.531 12.469 6.619 20.38a1 1 0 1 1-3-3l7.912-7.912' }],\n [\n 'path',\n {\n d: 'M15.686 4.314A12.5 12.5 0 0 0 5.461 2.958 1 1 0 0 0 5.58 4.71a22 22 0 0 1 6.318 3.393',\n },\n ],\n [\n 'path',\n {\n d: 'M17.7 3.7a1 1 0 0 0-1.4 0l-4.6 4.6a1 1 0 0 0 0 1.4l2.6 2.6a1 1 0 0 0 1.4 0l4.6-4.6a1 1 0 0 0 0-1.4z',\n },\n ],\n [\n 'path',\n {\n d: 'M19.686 8.314a12.501 12.501 0 0 1 1.356 10.225 1 1 0 0 1-1.751-.119 22 22 0 0 0-3.393-6.319',\n },\n ],\n ],\n];\n\nexport default Pickaxe;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name picture-in-picture-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/picture-in-picture-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PictureInPicture2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 9V6a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2v10c0 1.1.9 2 2 2h4' }],\n ['rect', { width: '10', height: '7', x: '12', y: '13', rx: '2' }],\n ],\n];\n\nexport default PictureInPicture2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name picture-in-picture\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/picture-in-picture\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PictureInPicture: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 4.5v5H3m-1-6 6 6m13 0v-3c0-1.16-.84-2-2-2h-7m-9 9v2c0 1.05.95 2 2 2h3' }],\n ['rect', { width: '10', height: '7', x: '12', y: '13.5', ry: '2' }],\n ],\n];\n\nexport default PictureInPicture;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name piggy-bank\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/piggy-bank\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PiggyBank: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M19 5c-1.5 0-2.8 1.4-3 2-3.5-1.5-11-.3-11 5 0 1.8 0 3 2 4.5V20h4v-2h3v2h4v-4c1-.5 1.7-1 2-2h2v-4h-2c0-1-.5-1.5-1-2V5z',\n },\n ],\n ['path', { d: 'M2 9v1c0 1.1.9 2 2 2h1' }],\n ['path', { d: 'M16 11h.01' }],\n ],\n];\n\nexport default PiggyBank;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pilcrow-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pilcrow-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PilcrowLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M14 3v11' }],\n ['path', { d: 'M14 9h-3a3 3 0 0 1 0-6h9' }],\n ['path', { d: 'M18 3v11' }],\n ['path', { d: 'M22 18H2l4-4' }],\n ['path', { d: 'm6 22-4-4' }],\n ],\n];\n\nexport default PilcrowLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pilcrow-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pilcrow-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PilcrowRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 3v11' }],\n ['path', { d: 'M10 9H7a1 1 0 0 1 0-6h8' }],\n ['path', { d: 'M14 3v11' }],\n ['path', { d: 'm18 14 4 4H2' }],\n ['path', { d: 'm22 18-4 4' }],\n ],\n];\n\nexport default PilcrowRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pilcrow\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pilcrow\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Pilcrow: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13 4v16' }],\n ['path', { d: 'M17 4v16' }],\n ['path', { d: 'M19 4H9.5a4.5 4.5 0 0 0 0 9H13' }],\n ],\n];\n\nexport default Pilcrow;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pill-bottle\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pill-bottle\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PillBottle: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18 11h-4a1 1 0 0 0-1 1v5a1 1 0 0 0 1 1h4' }],\n ['path', { d: 'M6 7v13a2 2 0 0 0 2 2h8a2 2 0 0 0 2-2V7' }],\n ['rect', { width: '16', height: '5', x: '4', y: '2', rx: '1' }],\n ],\n];\n\nexport default PillBottle;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pill\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pill\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Pill: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm10.5 20.5 10-10a4.95 4.95 0 1 0-7-7l-10 10a4.95 4.95 0 1 0 7 7Z' }],\n ['path', { d: 'm8.5 8.5 7 7' }],\n ],\n];\n\nexport default Pill;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pin-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pin-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PinOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 17v5' }],\n ['path', { d: 'M15 9.34V7a1 1 0 0 1 1-1 2 2 0 0 0 0-4H7.89' }],\n ['path', { d: 'm2 2 20 20' }],\n ['path', { d: 'M9 9v1.76a2 2 0 0 1-1.11 1.79l-1.78.9A2 2 0 0 0 5 15.24V16a1 1 0 0 0 1 1h11' }],\n ],\n];\n\nexport default PinOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pin\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pin\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Pin: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 17v5' }],\n [\n 'path',\n {\n d: 'M9 10.76a2 2 0 0 1-1.11 1.79l-1.78.9A2 2 0 0 0 5 15.24V16a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1v-.76a2 2 0 0 0-1.11-1.79l-1.78-.9A2 2 0 0 1 15 10.76V7a1 1 0 0 1 1-1 2 2 0 0 0 0-4H8a2 2 0 0 0 0 4 1 1 0 0 1 1 1z',\n },\n ],\n ],\n];\n\nexport default Pin;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pipette\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pipette\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Pipette: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm2 22 1-1h3l9-9' }],\n ['path', { d: 'M3 21v-3l9-9' }],\n [\n 'path',\n {\n d: 'm15 6 3.4-3.4a2.1 2.1 0 1 1 3 3L18 9l.4.4a2.1 2.1 0 1 1-3 3l-3.8-3.8a2.1 2.1 0 1 1 3-3l.4.4Z',\n },\n ],\n ],\n];\n\nexport default Pipette;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pizza\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pizza\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Pizza: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 11h.01' }],\n ['path', { d: 'M11 15h.01' }],\n ['path', { d: 'M16 16h.01' }],\n ['path', { d: 'm2 16 20 6-6-20A20 20 0 0 0 2 16' }],\n ['path', { d: 'M5.71 17.11a17.04 17.04 0 0 1 11.4-11.4' }],\n ],\n];\n\nexport default Pizza;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name plane-landing\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/plane-landing\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PlaneLanding: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 22h20' }],\n [\n 'path',\n {\n d: 'M3.77 10.77 2 9l2-4.5 1.1.55c.55.28.9.84.9 1.45s.35 1.17.9 1.45L8 8.5l3-6 1.05.53a2 2 0 0 1 1.09 1.52l.72 5.4a2 2 0 0 0 1.09 1.52l4.4 2.2c.42.22.78.55 1.01.96l.6 1.03c.49.88-.06 1.98-1.06 2.1l-1.18.15c-.47.06-.95-.02-1.37-.24L4.29 11.15a2 2 0 0 1-.52-.38Z',\n },\n ],\n ],\n];\n\nexport default PlaneLanding;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name plane-takeoff\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/plane-takeoff\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PlaneTakeoff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 22h20' }],\n [\n 'path',\n {\n d: 'M6.36 17.4 4 17l-2-4 1.1-.55a2 2 0 0 1 1.8 0l.17.1a2 2 0 0 0 1.8 0L8 12 5 6l.9-.45a2 2 0 0 1 2.09.2l4.02 3a2 2 0 0 0 2.1.2l4.19-2.06a2.41 2.41 0 0 1 1.73-.17L21 7a1.4 1.4 0 0 1 .87 1.99l-.38.76c-.23.46-.6.84-1.07 1.08L7.58 17.2a2 2 0 0 1-1.22.18Z',\n },\n ],\n ],\n];\n\nexport default PlaneTakeoff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name plane\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/plane\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Plane: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M17.8 19.2 16 11l3.5-3.5C21 6 21.5 4 21 3c-1-.5-3 0-4.5 1.5L13 8 4.8 6.2c-.5-.1-.9.1-1.1.5l-.3.5c-.2.5-.1 1 .3 1.3L9 12l-2 3H4l-1 1 3 2 2 3 1-1v-3l3-2 3.5 5.3c.3.4.8.5 1.3.3l.5-.2c.4-.3.6-.7.5-1.2z',\n },\n ],\n ],\n];\n\nexport default Plane;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name play\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/play\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Play: IconNode = ['svg', defaultAttributes, [['polygon', { points: '6 3 20 12 6 21 6 3' }]]];\n\nexport default Play;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name plug-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/plug-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Plug2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M9 2v6' }],\n ['path', { d: 'M15 2v6' }],\n ['path', { d: 'M12 17v5' }],\n ['path', { d: 'M5 8h14' }],\n ['path', { d: 'M6 11V8h12v3a6 6 0 1 1-12 0Z' }],\n ],\n];\n\nexport default Plug2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name plug-zap\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/plug-zap\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PlugZap: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z' }],\n ['path', { d: 'm2 22 3-3' }],\n ['path', { d: 'M7.5 13.5 10 11' }],\n ['path', { d: 'M10.5 16.5 13 14' }],\n ['path', { d: 'm18 3-4 4h6l-4 4' }],\n ],\n];\n\nexport default PlugZap;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name plug\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/plug\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Plug: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 22v-5' }],\n ['path', { d: 'M9 8V2' }],\n ['path', { d: 'M15 8V2' }],\n ['path', { d: 'M18 8v5a4 4 0 0 1-4 4h-4a4 4 0 0 1-4-4V8Z' }],\n ],\n];\n\nexport default Plug;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Plus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5 12h14' }],\n ['path', { d: 'M12 5v14' }],\n ],\n];\n\nexport default Plus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pocket-knife\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pocket-knife\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PocketKnife: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 2v1c0 1 2 1 2 2S3 6 3 7s2 1 2 2-2 1-2 2 2 1 2 2' }],\n ['path', { d: 'M18 6h.01' }],\n ['path', { d: 'M6 18h.01' }],\n ['path', { d: 'M20.83 8.83a4 4 0 0 0-5.66-5.66l-12 12a4 4 0 1 0 5.66 5.66Z' }],\n ['path', { d: 'M18 11.66V22a4 4 0 0 0 4-4V6' }],\n ],\n];\n\nexport default PocketKnife;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pocket\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pocket\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n * @deprecated Brand icons have been deprecated and are due to be removed, please refer to https://github.com/lucide-icons/lucide/issues/670. We recommend using https://simpleicons.org/?q=pocket instead. This icon will be removed in v1.0\n */\nconst Pocket: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 3h16a2 2 0 0 1 2 2v6a10 10 0 0 1-10 10A10 10 0 0 1 2 11V5a2 2 0 0 1 2-2z' }],\n ['polyline', { points: '8 10 12 14 16 10' }],\n ],\n];\n\nexport default Pocket;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name podcast\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/podcast\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Podcast: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16.85 18.58a9 9 0 1 0-9.7 0' }],\n ['path', { d: 'M8 14a5 5 0 1 1 8 0' }],\n ['circle', { cx: '12', cy: '11', r: '1' }],\n ['path', { d: 'M13 17a1 1 0 1 0-2 0l.5 4.5a.5.5 0 1 0 1 0Z' }],\n ],\n];\n\nexport default Podcast;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pointer-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pointer-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PointerOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 4.5V4a2 2 0 0 0-2.41-1.957' }],\n ['path', { d: 'M13.9 8.4a2 2 0 0 0-1.26-1.295' }],\n ['path', { d: 'M21.7 16.2A8 8 0 0 0 22 14v-3a2 2 0 1 0-4 0v-1a2 2 0 0 0-3.63-1.158' }],\n [\n 'path',\n {\n d: 'm7 15-1.8-1.8a2 2 0 0 0-2.79 2.86L6 19.7a7.74 7.74 0 0 0 6 2.3h2a8 8 0 0 0 5.657-2.343',\n },\n ],\n ['path', { d: 'M6 6v8' }],\n ['path', { d: 'm2 2 20 20' }],\n ],\n];\n\nexport default PointerOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pointer\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pointer\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Pointer: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M22 14a8 8 0 0 1-8 8' }],\n ['path', { d: 'M18 11v-1a2 2 0 0 0-2-2a2 2 0 0 0-2 2' }],\n ['path', { d: 'M14 10V9a2 2 0 0 0-2-2a2 2 0 0 0-2 2v1' }],\n ['path', { d: 'M10 9.5V4a2 2 0 0 0-2-2a2 2 0 0 0-2 2v10' }],\n [\n 'path',\n {\n d: 'M18 11a2 2 0 1 1 4 0v3a8 8 0 0 1-8 8h-2c-2.8 0-4.5-.86-5.99-2.34l-3.6-3.6a2 2 0 0 1 2.83-2.82L7 15',\n },\n ],\n ],\n];\n\nexport default Pointer;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name popcorn\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/popcorn\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Popcorn: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18 8a2 2 0 0 0 0-4 2 2 0 0 0-4 0 2 2 0 0 0-4 0 2 2 0 0 0-4 0 2 2 0 0 0 0 4' }],\n ['path', { d: 'M10 22 9 8' }],\n ['path', { d: 'm14 22 1-14' }],\n [\n 'path',\n {\n d: 'M20 8c.5 0 .9.4.8 1l-2.6 12c-.1.5-.7 1-1.2 1H7c-.6 0-1.1-.4-1.2-1L3.2 9c-.1-.6.3-1 .8-1Z',\n },\n ],\n ],\n];\n\nexport default Popcorn;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name popsicle\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/popsicle\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Popsicle: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M18.6 14.4c.8-.8.8-2 0-2.8l-8.1-8.1a4.95 4.95 0 1 0-7.1 7.1l8.1 8.1c.9.7 2.1.7 2.9-.1Z',\n },\n ],\n ['path', { d: 'm22 22-5.5-5.5' }],\n ],\n];\n\nexport default Popsicle;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pound-sterling\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pound-sterling\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PoundSterling: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18 7c0-5.333-8-5.333-8 0' }],\n ['path', { d: 'M10 7v14' }],\n ['path', { d: 'M6 21h12' }],\n ['path', { d: 'M6 13h10' }],\n ],\n];\n\nexport default PoundSterling;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name power-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/power-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PowerOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18.36 6.64A9 9 0 0 1 20.77 15' }],\n ['path', { d: 'M6.16 6.16a9 9 0 1 0 12.68 12.68' }],\n ['path', { d: 'M12 2v4' }],\n ['path', { d: 'm2 2 20 20' }],\n ],\n];\n\nexport default PowerOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name power\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/power\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Power: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 2v10' }],\n ['path', { d: 'M18.4 6.6a9 9 0 1 1-12.77.04' }],\n ],\n];\n\nexport default Power;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name presentation\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/presentation\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Presentation: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 3h20' }],\n ['path', { d: 'M21 3v11a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V3' }],\n ['path', { d: 'm7 21 5-5 5 5' }],\n ],\n];\n\nexport default Presentation;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name printer-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/printer-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst PrinterCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13.5 22H7a1 1 0 0 1-1-1v-6a1 1 0 0 1 1-1h10a1 1 0 0 1 1 1v.5' }],\n ['path', { d: 'm16 19 2 2 4-4' }],\n ['path', { d: 'M6 18H4a2 2 0 0 1-2-2v-5a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2v2' }],\n ['path', { d: 'M6 9V3a1 1 0 0 1 1-1h10a1 1 0 0 1 1 1v6' }],\n ],\n];\n\nexport default PrinterCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name printer\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/printer\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Printer: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 18H4a2 2 0 0 1-2-2v-5a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2v5a2 2 0 0 1-2 2h-2' }],\n ['path', { d: 'M6 9V3a1 1 0 0 1 1-1h10a1 1 0 0 1 1 1v6' }],\n ['rect', { x: '6', y: '14', width: '12', height: '8', rx: '1' }],\n ],\n];\n\nexport default Printer;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name projector\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/projector\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Projector: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5 7 3 5' }],\n ['path', { d: 'M9 6V3' }],\n ['path', { d: 'm13 7 2-2' }],\n ['circle', { cx: '9', cy: '13', r: '3' }],\n [\n 'path',\n { d: 'M11.83 12H20a2 2 0 0 1 2 2v4a2 2 0 0 1-2 2H4a2 2 0 0 1-2-2v-4a2 2 0 0 1 2-2h2.17' },\n ],\n ['path', { d: 'M16 16h2' }],\n ],\n];\n\nexport default Projector;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name proportions\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/proportions\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Proportions: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '16', x: '2', y: '4', rx: '2' }],\n ['path', { d: 'M12 9v11' }],\n ['path', { d: 'M2 9h13a2 2 0 0 1 2 2v9' }],\n ],\n];\n\nexport default Proportions;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name puzzle\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/puzzle\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Puzzle: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M19.439 7.85c-.049.322.059.648.289.878l1.568 1.568c.47.47.706 1.087.706 1.704s-.235 1.233-.706 1.704l-1.611 1.611a.98.98 0 0 1-.837.276c-.47-.07-.802-.48-.968-.925a2.501 2.501 0 1 0-3.214 3.214c.446.166.855.497.925.968a.979.979 0 0 1-.276.837l-1.61 1.61a2.404 2.404 0 0 1-1.705.707 2.402 2.402 0 0 1-1.704-.706l-1.568-1.568a1.026 1.026 0 0 0-.877-.29c-.493.074-.84.504-1.02.968a2.5 2.5 0 1 1-3.237-3.237c.464-.18.894-.527.967-1.02a1.026 1.026 0 0 0-.289-.877l-1.568-1.568A2.402 2.402 0 0 1 1.998 12c0-.617.236-1.234.706-1.704L4.23 8.77c.24-.24.581-.353.917-.303.515.077.877.528 1.073 1.01a2.5 2.5 0 1 0 3.259-3.259c-.482-.196-.933-.558-1.01-1.073-.05-.336.062-.676.303-.917l1.525-1.525A2.402 2.402 0 0 1 12 1.998c.617 0 1.234.236 1.704.706l1.568 1.568c.23.23.556.338.877.29.493-.074.84-.504 1.02-.968a2.5 2.5 0 1 1 3.237 3.237c-.464.18-.894.527-.967 1.02Z',\n },\n ],\n ],\n];\n\nexport default Puzzle;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name pyramid\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/pyramid\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Pyramid: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2.5 16.88a1 1 0 0 1-.32-1.43l9-13.02a1 1 0 0 1 1.64 0l9 13.01a1 1 0 0 1-.32 1.44l-8.51 4.86a2 2 0 0 1-1.98 0Z',\n },\n ],\n ['path', { d: 'M12 2v20' }],\n ],\n];\n\nexport default Pyramid;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name qr-code\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/qr-code\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst QrCode: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '5', height: '5', x: '3', y: '3', rx: '1' }],\n ['rect', { width: '5', height: '5', x: '16', y: '3', rx: '1' }],\n ['rect', { width: '5', height: '5', x: '3', y: '16', rx: '1' }],\n ['path', { d: 'M21 16h-3a2 2 0 0 0-2 2v3' }],\n ['path', { d: 'M21 21v.01' }],\n ['path', { d: 'M12 7v3a2 2 0 0 1-2 2H7' }],\n ['path', { d: 'M3 12h.01' }],\n ['path', { d: 'M12 3h.01' }],\n ['path', { d: 'M12 16v.01' }],\n ['path', { d: 'M16 12h1' }],\n ['path', { d: 'M21 12v.01' }],\n ['path', { d: 'M12 21v-1' }],\n ],\n];\n\nexport default QrCode;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name quote\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/quote\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Quote: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M16 3a2 2 0 0 0-2 2v6a2 2 0 0 0 2 2 1 1 0 0 1 1 1v1a2 2 0 0 1-2 2 1 1 0 0 0-1 1v2a1 1 0 0 0 1 1 6 6 0 0 0 6-6V5a2 2 0 0 0-2-2z',\n },\n ],\n [\n 'path',\n {\n d: 'M5 3a2 2 0 0 0-2 2v6a2 2 0 0 0 2 2 1 1 0 0 1 1 1v1a2 2 0 0 1-2 2 1 1 0 0 0-1 1v2a1 1 0 0 0 1 1 6 6 0 0 0 6-6V5a2 2 0 0 0-2-2z',\n },\n ],\n ],\n];\n\nexport default Quote;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name rabbit\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/rabbit\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Rabbit: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13 16a3 3 0 0 1 2.24 5' }],\n ['path', { d: 'M18 12h.01' }],\n [\n 'path',\n {\n d: 'M18 21h-8a4 4 0 0 1-4-4 7 7 0 0 1 7-7h.2L9.6 6.4a1 1 0 1 1 2.8-2.8L15.8 7h.2c3.3 0 6 2.7 6 6v1a2 2 0 0 1-2 2h-1a3 3 0 0 0-3 3',\n },\n ],\n ['path', { d: 'M20 8.54V4a2 2 0 1 0-4 0v3' }],\n ['path', { d: 'M7.612 12.524a3 3 0 1 0-1.6 4.3' }],\n ],\n];\n\nexport default Rabbit;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name radar\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/radar\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Radar: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M19.07 4.93A10 10 0 0 0 6.99 3.34' }],\n ['path', { d: 'M4 6h.01' }],\n ['path', { d: 'M2.29 9.62A10 10 0 1 0 21.31 8.35' }],\n ['path', { d: 'M16.24 7.76A6 6 0 1 0 8.23 16.67' }],\n ['path', { d: 'M12 18h.01' }],\n ['path', { d: 'M17.99 11.66A6 6 0 0 1 15.77 16.67' }],\n ['circle', { cx: '12', cy: '12', r: '2' }],\n ['path', { d: 'm13.41 10.59 5.66-5.66' }],\n ],\n];\n\nexport default Radar;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name radiation\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/radiation\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Radiation: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 12h.01' }],\n [\n 'path',\n {\n d: 'M7.5 4.2c-.3-.5-.9-.7-1.3-.4C3.9 5.5 2.3 8.1 2 11c-.1.5.4 1 1 1h5c0-1.5.8-2.8 2-3.4-1.1-1.9-2-3.5-2.5-4.4z',\n },\n ],\n [\n 'path',\n {\n d: 'M21 12c.6 0 1-.4 1-1-.3-2.9-1.8-5.5-4.1-7.1-.4-.3-1.1-.2-1.3.3-.6.9-1.5 2.5-2.6 4.3 1.2.7 2 2 2 3.5h5z',\n },\n ],\n [\n 'path',\n {\n d: 'M7.5 19.8c-.3.5-.1 1.1.4 1.3 2.6 1.2 5.6 1.2 8.2 0 .5-.2.7-.8.4-1.3-.5-.9-1.4-2.5-2.5-4.3-1.2.7-2.8.7-4 0-1.1 1.8-2 3.4-2.5 4.3z',\n },\n ],\n ],\n];\n\nexport default Radiation;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name radical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/radical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Radical: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M3 12h3.28a1 1 0 0 1 .948.684l2.298 7.934a.5.5 0 0 0 .96-.044L13.82 4.771A1 1 0 0 1 14.792 4H21',\n },\n ],\n ],\n];\n\nexport default Radical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name radio-receiver\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/radio-receiver\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst RadioReceiver: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5 16v2' }],\n ['path', { d: 'M19 16v2' }],\n ['rect', { width: '20', height: '8', x: '2', y: '8', rx: '2' }],\n ['path', { d: 'M18 12h.01' }],\n ],\n];\n\nexport default RadioReceiver;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name radio-tower\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/radio-tower\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst RadioTower: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4.9 16.1C1 12.2 1 5.8 4.9 1.9' }],\n ['path', { d: 'M7.8 4.7a6.14 6.14 0 0 0-.8 7.5' }],\n ['circle', { cx: '12', cy: '9', r: '2' }],\n ['path', { d: 'M16.2 4.8c2 2 2.26 5.11.8 7.47' }],\n ['path', { d: 'M19.1 1.9a9.96 9.96 0 0 1 0 14.1' }],\n ['path', { d: 'M9.5 18h5' }],\n ['path', { d: 'm8 22 4-11 4 11' }],\n ],\n];\n\nexport default RadioTower;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name radio\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/radio\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Radio: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4.9 19.1C1 15.2 1 8.8 4.9 4.9' }],\n ['path', { d: 'M7.8 16.2c-2.3-2.3-2.3-6.1 0-8.5' }],\n ['circle', { cx: '12', cy: '12', r: '2' }],\n ['path', { d: 'M16.2 7.8c2.3 2.3 2.3 6.1 0 8.5' }],\n ['path', { d: 'M19.1 4.9C23 8.8 23 15.1 19.1 19' }],\n ],\n];\n\nexport default Radio;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name radius\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/radius\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Radius: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M20.34 17.52a10 10 0 1 0-2.82 2.82' }],\n ['circle', { cx: '19', cy: '19', r: '2' }],\n ['path', { d: 'm13.41 13.41 4.18 4.18' }],\n ['circle', { cx: '12', cy: '12', r: '2' }],\n ],\n];\n\nexport default Radius;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name rail-symbol\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/rail-symbol\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst RailSymbol: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5 15h14' }],\n ['path', { d: 'M5 9h14' }],\n ['path', { d: 'm14 20-5-5 6-6-5-5' }],\n ],\n];\n\nexport default RailSymbol;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name rainbow\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/rainbow\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Rainbow: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M22 17a10 10 0 0 0-20 0' }],\n ['path', { d: 'M6 17a6 6 0 0 1 12 0' }],\n ['path', { d: 'M10 17a2 2 0 0 1 4 0' }],\n ],\n];\n\nexport default Rainbow;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name rat\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/rat\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Rat: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n { d: 'M17 5c0-1.7-1.3-3-3-3s-3 1.3-3 3c0 .8.3 1.5.8 2H11c-3.9 0-7 3.1-7 7c0 2.2 1.8 4 4 4' },\n ],\n [\n 'path',\n {\n d: 'M16.8 3.9c.3-.3.6-.5 1-.7 1.5-.6 3.3.1 3.9 1.6.6 1.5-.1 3.3-1.6 3.9l1.6 2.8c.2.3.2.7.2 1-.2.8-.9 1.2-1.7 1.1 0 0-1.6-.3-2.7-.6H17c-1.7 0-3 1.3-3 3',\n },\n ],\n ['path', { d: 'M13.2 18a3 3 0 0 0-2.2-5' }],\n ['path', { d: 'M13 22H4a2 2 0 0 1 0-4h12' }],\n ['path', { d: 'M16 9h.01' }],\n ],\n];\n\nexport default Rat;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ratio\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ratio\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Ratio: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '12', height: '20', x: '6', y: '2', rx: '2' }],\n ['rect', { width: '20', height: '12', x: '2', y: '6', rx: '2' }],\n ],\n];\n\nexport default Ratio;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name receipt-cent\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/receipt-cent\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ReceiptCent: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 2v20l2-1 2 1 2-1 2 1 2-1 2 1 2-1 2 1V2l-2 1-2-1-2 1-2-1-2 1-2-1-2 1Z' }],\n ['path', { d: 'M12 6.5v11' }],\n ['path', { d: 'M15 9.4a4 4 0 1 0 0 5.2' }],\n ],\n];\n\nexport default ReceiptCent;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name receipt-euro\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/receipt-euro\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ReceiptEuro: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 2v20l2-1 2 1 2-1 2 1 2-1 2 1 2-1 2 1V2l-2 1-2-1-2 1-2-1-2 1-2-1-2 1Z' }],\n ['path', { d: 'M8 12h5' }],\n ['path', { d: 'M16 9.5a4 4 0 1 0 0 5.2' }],\n ],\n];\n\nexport default ReceiptEuro;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name receipt-indian-rupee\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/receipt-indian-rupee\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ReceiptIndianRupee: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 2v20l2-1 2 1 2-1 2 1 2-1 2 1 2-1 2 1V2l-2 1-2-1-2 1-2-1-2 1-2-1-2 1Z' }],\n ['path', { d: 'M8 7h8' }],\n ['path', { d: 'M12 17.5 8 15h1a4 4 0 0 0 0-8' }],\n ['path', { d: 'M8 11h8' }],\n ],\n];\n\nexport default ReceiptIndianRupee;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name receipt-japanese-yen\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/receipt-japanese-yen\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ReceiptJapaneseYen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 2v20l2-1 2 1 2-1 2 1 2-1 2 1 2-1 2 1V2l-2 1-2-1-2 1-2-1-2 1-2-1-2 1Z' }],\n ['path', { d: 'm12 10 3-3' }],\n ['path', { d: 'm9 7 3 3v7.5' }],\n ['path', { d: 'M9 11h6' }],\n ['path', { d: 'M9 15h6' }],\n ],\n];\n\nexport default ReceiptJapaneseYen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name receipt-pound-sterling\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/receipt-pound-sterling\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ReceiptPoundSterling: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 2v20l2-1 2 1 2-1 2 1 2-1 2 1 2-1 2 1V2l-2 1-2-1-2 1-2-1-2 1-2-1-2 1Z' }],\n ['path', { d: 'M8 13h5' }],\n ['path', { d: 'M10 17V9.5a2.5 2.5 0 0 1 5 0' }],\n ['path', { d: 'M8 17h7' }],\n ],\n];\n\nexport default ReceiptPoundSterling;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name receipt-russian-ruble\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/receipt-russian-ruble\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ReceiptRussianRuble: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 2v20l2-1 2 1 2-1 2 1 2-1 2 1 2-1 2 1V2l-2 1-2-1-2 1-2-1-2 1-2-1-2 1Z' }],\n ['path', { d: 'M8 15h5' }],\n ['path', { d: 'M8 11h5a2 2 0 1 0 0-4h-3v10' }],\n ],\n];\n\nexport default ReceiptRussianRuble;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name receipt-swiss-franc\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/receipt-swiss-franc\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ReceiptSwissFranc: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 2v20l2-1 2 1 2-1 2 1 2-1 2 1 2-1 2 1V2l-2 1-2-1-2 1-2-1-2 1-2-1-2 1Z' }],\n ['path', { d: 'M10 17V7h5' }],\n ['path', { d: 'M10 11h4' }],\n ['path', { d: 'M8 15h5' }],\n ],\n];\n\nexport default ReceiptSwissFranc;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name receipt-text\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/receipt-text\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ReceiptText: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 2v20l2-1 2 1 2-1 2 1 2-1 2 1 2-1 2 1V2l-2 1-2-1-2 1-2-1-2 1-2-1-2 1Z' }],\n ['path', { d: 'M14 8H8' }],\n ['path', { d: 'M16 12H8' }],\n ['path', { d: 'M13 16H8' }],\n ],\n];\n\nexport default ReceiptText;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name receipt\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/receipt\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Receipt: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 2v20l2-1 2 1 2-1 2 1 2-1 2 1 2-1 2 1V2l-2 1-2-1-2 1-2-1-2 1-2-1-2 1Z' }],\n ['path', { d: 'M16 8h-6a2 2 0 1 0 0 4h4a2 2 0 1 1 0 4H8' }],\n ['path', { d: 'M12 17.5v-11' }],\n ],\n];\n\nexport default Receipt;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name rectangle-ellipsis\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/rectangle-ellipsis\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst RectangleEllipsis: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '12', x: '2', y: '6', rx: '2' }],\n ['path', { d: 'M12 12h.01' }],\n ['path', { d: 'M17 12h.01' }],\n ['path', { d: 'M7 12h.01' }],\n ],\n];\n\nexport default RectangleEllipsis;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name rectangle-horizontal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/rectangle-horizontal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst RectangleHorizontal: IconNode = [\n 'svg',\n defaultAttributes,\n [['rect', { width: '20', height: '12', x: '2', y: '6', rx: '2' }]],\n];\n\nexport default RectangleHorizontal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name rectangle-vertical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/rectangle-vertical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst RectangleVertical: IconNode = [\n 'svg',\n defaultAttributes,\n [['rect', { width: '12', height: '20', x: '6', y: '2', rx: '2' }]],\n];\n\nexport default RectangleVertical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name recycle\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/recycle\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Recycle: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7 19H4.815a1.83 1.83 0 0 1-1.57-.881 1.785 1.785 0 0 1-.004-1.784L7.196 9.5' }],\n ['path', { d: 'M11 19h8.203a1.83 1.83 0 0 0 1.556-.89 1.784 1.784 0 0 0 0-1.775l-1.226-2.12' }],\n ['path', { d: 'm14 16-3 3 3 3' }],\n ['path', { d: 'M8.293 13.596 7.196 9.5 3.1 10.598' }],\n [\n 'path',\n {\n d: 'm9.344 5.811 1.093-1.892A1.83 1.83 0 0 1 11.985 3a1.784 1.784 0 0 1 1.546.888l3.943 6.843',\n },\n ],\n ['path', { d: 'm13.378 9.633 4.096 1.098 1.097-4.096' }],\n ],\n];\n\nexport default Recycle;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name redo-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/redo-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Redo2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm15 14 5-5-5-5' }],\n ['path', { d: 'M20 9H9.5A5.5 5.5 0 0 0 4 14.5A5.5 5.5 0 0 0 9.5 20H13' }],\n ],\n];\n\nexport default Redo2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name redo-dot\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/redo-dot\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst RedoDot: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '17', r: '1' }],\n ['path', { d: 'M21 7v6h-6' }],\n ['path', { d: 'M3 17a9 9 0 0 1 9-9 9 9 0 0 1 6 2.3l3 2.7' }],\n ],\n];\n\nexport default RedoDot;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name redo\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/redo\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Redo: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 7v6h-6' }],\n ['path', { d: 'M3 17a9 9 0 0 1 9-9 9 9 0 0 1 6 2.3l3 2.7' }],\n ],\n];\n\nexport default Redo;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name refresh-ccw-dot\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/refresh-ccw-dot\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst RefreshCcwDot: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 2v6h6' }],\n ['path', { d: 'M21 12A9 9 0 0 0 6 5.3L3 8' }],\n ['path', { d: 'M21 22v-6h-6' }],\n ['path', { d: 'M3 12a9 9 0 0 0 15 6.7l3-2.7' }],\n ['circle', { cx: '12', cy: '12', r: '1' }],\n ],\n];\n\nexport default RefreshCcwDot;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name refresh-ccw\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/refresh-ccw\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst RefreshCcw: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 12a9 9 0 0 0-9-9 9.75 9.75 0 0 0-6.74 2.74L3 8' }],\n ['path', { d: 'M3 3v5h5' }],\n ['path', { d: 'M3 12a9 9 0 0 0 9 9 9.75 9.75 0 0 0 6.74-2.74L21 16' }],\n ['path', { d: 'M16 16h5v5' }],\n ],\n];\n\nexport default RefreshCcw;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name refresh-cw-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/refresh-cw-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst RefreshCwOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 8L18.74 5.74A9.75 9.75 0 0 0 12 3C11 3 10.03 3.16 9.13 3.47' }],\n ['path', { d: 'M8 16H3v5' }],\n ['path', { d: 'M3 12C3 9.51 4 7.26 5.64 5.64' }],\n ['path', { d: 'm3 16 2.26 2.26A9.75 9.75 0 0 0 12 21c2.49 0 4.74-1 6.36-2.64' }],\n ['path', { d: 'M21 12c0 1-.16 1.97-.47 2.87' }],\n ['path', { d: 'M21 3v5h-5' }],\n ['path', { d: 'M22 22 2 2' }],\n ],\n];\n\nexport default RefreshCwOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name refresh-cw\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/refresh-cw\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst RefreshCw: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 12a9 9 0 0 1 9-9 9.75 9.75 0 0 1 6.74 2.74L21 8' }],\n ['path', { d: 'M21 3v5h-5' }],\n ['path', { d: 'M21 12a9 9 0 0 1-9 9 9.75 9.75 0 0 1-6.74-2.74L3 16' }],\n ['path', { d: 'M8 16H3v5' }],\n ],\n];\n\nexport default RefreshCw;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name refrigerator\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/refrigerator\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Refrigerator: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5 6a4 4 0 0 1 4-4h6a4 4 0 0 1 4 4v14a2 2 0 0 1-2 2H7a2 2 0 0 1-2-2V6Z' }],\n ['path', { d: 'M5 10h14' }],\n ['path', { d: 'M15 7v6' }],\n ],\n];\n\nexport default Refrigerator;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name regex\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/regex\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Regex: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M17 3v10' }],\n ['path', { d: 'm12.67 5.5 8.66 5' }],\n ['path', { d: 'm12.67 10.5 8.66-5' }],\n ['path', { d: 'M9 17a2 2 0 0 0-2-2H5a2 2 0 0 0-2 2v2a2 2 0 0 0 2 2h2a2 2 0 0 0 2-2v-2z' }],\n ],\n];\n\nexport default Regex;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name remove-formatting\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/remove-formatting\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst RemoveFormatting: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 7V4h16v3' }],\n ['path', { d: 'M5 20h6' }],\n ['path', { d: 'M13 4 8 20' }],\n ['path', { d: 'm15 15 5 5' }],\n ['path', { d: 'm20 15-5 5' }],\n ],\n];\n\nexport default RemoveFormatting;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name repeat-1\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/repeat-1\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Repeat1: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm17 2 4 4-4 4' }],\n ['path', { d: 'M3 11v-1a4 4 0 0 1 4-4h14' }],\n ['path', { d: 'm7 22-4-4 4-4' }],\n ['path', { d: 'M21 13v1a4 4 0 0 1-4 4H3' }],\n ['path', { d: 'M11 10h1v4' }],\n ],\n];\n\nexport default Repeat1;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name repeat-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/repeat-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Repeat2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm2 9 3-3 3 3' }],\n ['path', { d: 'M13 18H7a2 2 0 0 1-2-2V6' }],\n ['path', { d: 'm22 15-3 3-3-3' }],\n ['path', { d: 'M11 6h6a2 2 0 0 1 2 2v10' }],\n ],\n];\n\nexport default Repeat2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name repeat\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/repeat\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Repeat: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm17 2 4 4-4 4' }],\n ['path', { d: 'M3 11v-1a4 4 0 0 1 4-4h14' }],\n ['path', { d: 'm7 22-4-4 4-4' }],\n ['path', { d: 'M21 13v1a4 4 0 0 1-4 4H3' }],\n ],\n];\n\nexport default Repeat;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name replace-all\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/replace-all\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ReplaceAll: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M14 4c0-1.1.9-2 2-2' }],\n ['path', { d: 'M20 2c1.1 0 2 .9 2 2' }],\n ['path', { d: 'M22 8c0 1.1-.9 2-2 2' }],\n ['path', { d: 'M16 10c-1.1 0-2-.9-2-2' }],\n ['path', { d: 'm3 7 3 3 3-3' }],\n ['path', { d: 'M6 10V5c0-1.7 1.3-3 3-3h1' }],\n ['rect', { width: '8', height: '8', x: '2', y: '14', rx: '2' }],\n ['path', { d: 'M14 14c1.1 0 2 .9 2 2v4c0 1.1-.9 2-2 2' }],\n ['path', { d: 'M20 14c1.1 0 2 .9 2 2v4c0 1.1-.9 2-2 2' }],\n ],\n];\n\nexport default ReplaceAll;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name replace\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/replace\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Replace: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M14 4c0-1.1.9-2 2-2' }],\n ['path', { d: 'M20 2c1.1 0 2 .9 2 2' }],\n ['path', { d: 'M22 8c0 1.1-.9 2-2 2' }],\n ['path', { d: 'M16 10c-1.1 0-2-.9-2-2' }],\n ['path', { d: 'm3 7 3 3 3-3' }],\n ['path', { d: 'M6 10V5c0-1.7 1.3-3 3-3h1' }],\n ['rect', { width: '8', height: '8', x: '2', y: '14', rx: '2' }],\n ],\n];\n\nexport default Replace;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name reply-all\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/reply-all\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ReplyAll: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '7 17 2 12 7 7' }],\n ['polyline', { points: '12 17 7 12 12 7' }],\n ['path', { d: 'M22 18v-2a4 4 0 0 0-4-4H7' }],\n ],\n];\n\nexport default ReplyAll;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name reply\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/reply\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Reply: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '9 17 4 12 9 7' }],\n ['path', { d: 'M20 18v-2a4 4 0 0 0-4-4H4' }],\n ],\n];\n\nexport default Reply;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name rewind\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/rewind\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Rewind: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polygon', { points: '11 19 2 12 11 5 11 19' }],\n ['polygon', { points: '22 19 13 12 22 5 22 19' }],\n ],\n];\n\nexport default Rewind;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ribbon\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ribbon\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Ribbon: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 11.22C11 9.997 10 9 10 8a2 2 0 0 1 4 0c0 1-.998 2.002-2.01 3.22' }],\n ['path', { d: 'm12 18 2.57-3.5' }],\n ['path', { d: 'M6.243 9.016a7 7 0 0 1 11.507-.009' }],\n ['path', { d: 'M9.35 14.53 12 11.22' }],\n [\n 'path',\n {\n d: 'M9.35 14.53C7.728 12.246 6 10.221 6 7a6 5 0 0 1 12 0c-.005 3.22-1.778 5.235-3.43 7.5l3.557 4.527a1 1 0 0 1-.203 1.43l-1.894 1.36a1 1 0 0 1-1.384-.215L12 18l-2.679 3.593a1 1 0 0 1-1.39.213l-1.865-1.353a1 1 0 0 1-.203-1.422z',\n },\n ],\n ],\n];\n\nexport default Ribbon;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name rocket\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/rocket\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Rocket: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M4.5 16.5c-1.5 1.26-2 5-2 5s3.74-.5 5-2c.71-.84.7-2.13-.09-2.91a2.18 2.18 0 0 0-2.91-.09z',\n },\n ],\n [\n 'path',\n {\n d: 'm12 15-3-3a22 22 0 0 1 2-3.95A12.88 12.88 0 0 1 22 2c0 2.72-.78 7.5-6 11a22.35 22.35 0 0 1-4 2z',\n },\n ],\n ['path', { d: 'M9 12H4s.55-3.03 2-4c1.62-1.08 5 0 5 0' }],\n ['path', { d: 'M12 15v5s3.03-.55 4-2c1.08-1.62 0-5 0-5' }],\n ],\n];\n\nexport default Rocket;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name rocking-chair\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/rocking-chair\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst RockingChair: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '3.5 2 6.5 12.5 18 12.5' }],\n ['line', { x1: '9.5', x2: '5.5', y1: '12.5', y2: '20' }],\n ['line', { x1: '15', x2: '18.5', y1: '12.5', y2: '20' }],\n ['path', { d: 'M2.75 18a13 13 0 0 0 18.5 0' }],\n ],\n];\n\nexport default RockingChair;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name roller-coaster\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/roller-coaster\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst RollerCoaster: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 19V5' }],\n ['path', { d: 'M10 19V6.8' }],\n ['path', { d: 'M14 19v-7.8' }],\n ['path', { d: 'M18 5v4' }],\n ['path', { d: 'M18 19v-6' }],\n ['path', { d: 'M22 19V9' }],\n ['path', { d: 'M2 19V9a4 4 0 0 1 4-4c2 0 4 1.33 6 4s4 4 6 4a4 4 0 1 0-3-6.65' }],\n ],\n];\n\nexport default RollerCoaster;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name rotate-3d\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/rotate-3d\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Rotate3d: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M16.466 7.5C15.643 4.237 13.952 2 12 2 9.239 2 7 6.477 7 12s2.239 10 5 10c.342 0 .677-.069 1-.2',\n },\n ],\n ['path', { d: 'm15.194 13.707 3.814 1.86-1.86 3.814' }],\n [\n 'path',\n {\n d: 'M19 15.57c-1.804.885-4.274 1.43-7 1.43-5.523 0-10-2.239-10-5s4.477-5 10-5c4.838 0 8.873 1.718 9.8 4',\n },\n ],\n ],\n];\n\nexport default Rotate3d;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name rotate-ccw-square\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/rotate-ccw-square\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst RotateCcwSquare: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M20 9V7a2 2 0 0 0-2-2h-6' }],\n ['path', { d: 'm15 2-3 3 3 3' }],\n ['path', { d: 'M20 13v5a2 2 0 0 1-2 2H6a2 2 0 0 1-2-2V7a2 2 0 0 1 2-2h2' }],\n ],\n];\n\nexport default RotateCcwSquare;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name rotate-ccw\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/rotate-ccw\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst RotateCcw: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 12a9 9 0 1 0 9-9 9.75 9.75 0 0 0-6.74 2.74L3 8' }],\n ['path', { d: 'M3 3v5h5' }],\n ],\n];\n\nexport default RotateCcw;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name rotate-cw-square\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/rotate-cw-square\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst RotateCwSquare: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 5H6a2 2 0 0 0-2 2v3' }],\n ['path', { d: 'm9 8 3-3-3-3' }],\n ['path', { d: 'M4 14v4a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7a2 2 0 0 0-2-2h-2' }],\n ],\n];\n\nexport default RotateCwSquare;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name rotate-cw\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/rotate-cw\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst RotateCw: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 12a9 9 0 1 1-9-9c2.52 0 4.93 1 6.74 2.74L21 8' }],\n ['path', { d: 'M21 3v5h-5' }],\n ],\n];\n\nexport default RotateCw;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name route-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/route-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst RouteOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '6', cy: '19', r: '3' }],\n ['path', { d: 'M9 19h8.5c.4 0 .9-.1 1.3-.2' }],\n ['path', { d: 'M5.2 5.2A3.5 3.53 0 0 0 6.5 12H12' }],\n ['path', { d: 'm2 2 20 20' }],\n ['path', { d: 'M21 15.3a3.5 3.5 0 0 0-3.3-3.3' }],\n ['path', { d: 'M15 5h-4.3' }],\n ['circle', { cx: '18', cy: '5', r: '3' }],\n ],\n];\n\nexport default RouteOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name route\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/route\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Route: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '6', cy: '19', r: '3' }],\n ['path', { d: 'M9 19h8.5a3.5 3.5 0 0 0 0-7h-11a3.5 3.5 0 0 1 0-7H15' }],\n ['circle', { cx: '18', cy: '5', r: '3' }],\n ],\n];\n\nexport default Route;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name router\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/router\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Router: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '8', x: '2', y: '14', rx: '2' }],\n ['path', { d: 'M6.01 18H6' }],\n ['path', { d: 'M10.01 18H10' }],\n ['path', { d: 'M15 10v4' }],\n ['path', { d: 'M17.84 7.17a4 4 0 0 0-5.66 0' }],\n ['path', { d: 'M20.66 4.34a8 8 0 0 0-11.31 0' }],\n ],\n];\n\nexport default Router;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name rows-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/rows-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Rows2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M3 12h18' }],\n ],\n];\n\nexport default Rows2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name rows-3\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/rows-3\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Rows3: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M21 9H3' }],\n ['path', { d: 'M21 15H3' }],\n ],\n];\n\nexport default Rows3;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name rows-4\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/rows-4\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Rows4: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M21 7.5H3' }],\n ['path', { d: 'M21 12H3' }],\n ['path', { d: 'M21 16.5H3' }],\n ],\n];\n\nexport default Rows4;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name rss\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/rss\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Rss: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 11a9 9 0 0 1 9 9' }],\n ['path', { d: 'M4 4a16 16 0 0 1 16 16' }],\n ['circle', { cx: '5', cy: '19', r: '1' }],\n ],\n];\n\nexport default Rss;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ruler\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ruler\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Ruler: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M21.3 15.3a2.4 2.4 0 0 1 0 3.4l-2.6 2.6a2.4 2.4 0 0 1-3.4 0L2.7 8.7a2.41 2.41 0 0 1 0-3.4l2.6-2.6a2.41 2.41 0 0 1 3.4 0Z',\n },\n ],\n ['path', { d: 'm14.5 12.5 2-2' }],\n ['path', { d: 'm11.5 9.5 2-2' }],\n ['path', { d: 'm8.5 6.5 2-2' }],\n ['path', { d: 'm17.5 15.5 2-2' }],\n ],\n];\n\nexport default Ruler;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name russian-ruble\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/russian-ruble\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst RussianRuble: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 11h8a4 4 0 0 0 0-8H9v18' }],\n ['path', { d: 'M6 15h8' }],\n ],\n];\n\nexport default RussianRuble;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name sailboat\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/sailboat\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Sailboat: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M22 18H2a4 4 0 0 0 4 4h12a4 4 0 0 0 4-4Z' }],\n ['path', { d: 'M21 14 10 2 3 14h18Z' }],\n ['path', { d: 'M10 2v16' }],\n ],\n];\n\nexport default Sailboat;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name salad\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/salad\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Salad: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7 21h10' }],\n ['path', { d: 'M12 21a9 9 0 0 0 9-9H3a9 9 0 0 0 9 9Z' }],\n [\n 'path',\n {\n d: 'M11.38 12a2.4 2.4 0 0 1-.4-4.77 2.4 2.4 0 0 1 3.2-2.77 2.4 2.4 0 0 1 3.47-.63 2.4 2.4 0 0 1 3.37 3.37 2.4 2.4 0 0 1-1.1 3.7 2.51 2.51 0 0 1 .03 1.1',\n },\n ],\n ['path', { d: 'm13 12 4-4' }],\n ['path', { d: 'M10.9 7.25A3.99 3.99 0 0 0 4 10c0 .73.2 1.41.54 2' }],\n ],\n];\n\nexport default Salad;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name sandwich\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/sandwich\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Sandwich: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 11v3a1 1 0 0 0 1 1h16a1 1 0 0 0 1-1v-3' }],\n [\n 'path',\n { d: 'M12 19H4a1 1 0 0 1-1-1v-2a1 1 0 0 1 1-1h16a1 1 0 0 1 1 1v2a1 1 0 0 1-1 1h-3.83' },\n ],\n ['path', { d: 'm3 11 7.77-6.04a2 2 0 0 1 2.46 0L21 11H3Z' }],\n ['path', { d: 'M12.97 19.77 7 15h12.5l-3.75 4.5a2 2 0 0 1-2.78.27Z' }],\n ],\n];\n\nexport default Sandwich;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name satellite-dish\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/satellite-dish\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SatelliteDish: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 10a7.31 7.31 0 0 0 10 10Z' }],\n ['path', { d: 'm9 15 3-3' }],\n ['path', { d: 'M17 13a6 6 0 0 0-6-6' }],\n ['path', { d: 'M21 13A10 10 0 0 0 11 3' }],\n ],\n];\n\nexport default SatelliteDish;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name satellite\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/satellite\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Satellite: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13 7 9 3 5 7l4 4' }],\n ['path', { d: 'm17 11 4 4-4 4-4-4' }],\n ['path', { d: 'm8 12 4 4 6-6-4-4Z' }],\n ['path', { d: 'm16 8 3-3' }],\n ['path', { d: 'M9 21a6 6 0 0 0-6-6' }],\n ],\n];\n\nexport default Satellite;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name save-all\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/save-all\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SaveAll: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 2v3a1 1 0 0 0 1 1h5' }],\n ['path', { d: 'M18 18v-6a1 1 0 0 0-1-1h-6a1 1 0 0 0-1 1v6' }],\n ['path', { d: 'M18 22H4a2 2 0 0 1-2-2V6' }],\n [\n 'path',\n {\n d: 'M8 18a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9.172a2 2 0 0 1 1.414.586l2.828 2.828A2 2 0 0 1 22 6.828V16a2 2 0 0 1-2.01 2z',\n },\n ],\n ],\n];\n\nexport default SaveAll;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name save-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/save-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SaveOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13 13H8a1 1 0 0 0-1 1v7' }],\n ['path', { d: 'M14 8h1' }],\n ['path', { d: 'M17 21v-4' }],\n ['path', { d: 'm2 2 20 20' }],\n ['path', { d: 'M20.41 20.41A2 2 0 0 1 19 21H5a2 2 0 0 1-2-2V5a2 2 0 0 1 .59-1.41' }],\n ['path', { d: 'M29.5 11.5s5 5 4 5' }],\n ['path', { d: 'M9 3h6.2a2 2 0 0 1 1.4.6l3.8 3.8a2 2 0 0 1 .6 1.4V15' }],\n ],\n];\n\nexport default SaveOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name save\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/save\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Save: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M15.2 3a2 2 0 0 1 1.4.6l3.8 3.8a2 2 0 0 1 .6 1.4V19a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2z',\n },\n ],\n ['path', { d: 'M17 21v-7a1 1 0 0 0-1-1H8a1 1 0 0 0-1 1v7' }],\n ['path', { d: 'M7 3v4a1 1 0 0 0 1 1h7' }],\n ],\n];\n\nexport default Save;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name scale-3d\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/scale-3d\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Scale3d: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '19', cy: '19', r: '2' }],\n ['circle', { cx: '5', cy: '5', r: '2' }],\n ['path', { d: 'M5 7v12h12' }],\n ['path', { d: 'm5 19 6-6' }],\n ],\n];\n\nexport default Scale3d;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name scale\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/scale\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Scale: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm16 16 3-8 3 8c-.87.65-1.92 1-3 1s-2.13-.35-3-1Z' }],\n ['path', { d: 'm2 16 3-8 3 8c-.87.65-1.92 1-3 1s-2.13-.35-3-1Z' }],\n ['path', { d: 'M7 21h10' }],\n ['path', { d: 'M12 3v18' }],\n ['path', { d: 'M3 7h2c2 0 5-1 7-2 2 1 5 2 7 2h2' }],\n ],\n];\n\nexport default Scale;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name scaling\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/scaling\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Scaling: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 3H5a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2v-7' }],\n ['path', { d: 'M14 15H9v-5' }],\n ['path', { d: 'M16 3h5v5' }],\n ['path', { d: 'M21 3 9 15' }],\n ],\n];\n\nexport default Scaling;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name scan-barcode\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/scan-barcode\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ScanBarcode: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 7V5a2 2 0 0 1 2-2h2' }],\n ['path', { d: 'M17 3h2a2 2 0 0 1 2 2v2' }],\n ['path', { d: 'M21 17v2a2 2 0 0 1-2 2h-2' }],\n ['path', { d: 'M7 21H5a2 2 0 0 1-2-2v-2' }],\n ['path', { d: 'M8 7v10' }],\n ['path', { d: 'M12 7v10' }],\n ['path', { d: 'M17 7v10' }],\n ],\n];\n\nexport default ScanBarcode;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name scan-eye\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/scan-eye\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ScanEye: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 7V5a2 2 0 0 1 2-2h2' }],\n ['path', { d: 'M17 3h2a2 2 0 0 1 2 2v2' }],\n ['path', { d: 'M21 17v2a2 2 0 0 1-2 2h-2' }],\n ['path', { d: 'M7 21H5a2 2 0 0 1-2-2v-2' }],\n ['circle', { cx: '12', cy: '12', r: '1' }],\n [\n 'path',\n {\n d: 'M18.944 12.33a1 1 0 0 0 0-.66 7.5 7.5 0 0 0-13.888 0 1 1 0 0 0 0 .66 7.5 7.5 0 0 0 13.888 0',\n },\n ],\n ],\n];\n\nexport default ScanEye;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name scan-face\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/scan-face\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ScanFace: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 7V5a2 2 0 0 1 2-2h2' }],\n ['path', { d: 'M17 3h2a2 2 0 0 1 2 2v2' }],\n ['path', { d: 'M21 17v2a2 2 0 0 1-2 2h-2' }],\n ['path', { d: 'M7 21H5a2 2 0 0 1-2-2v-2' }],\n ['path', { d: 'M8 14s1.5 2 4 2 4-2 4-2' }],\n ['path', { d: 'M9 9h.01' }],\n ['path', { d: 'M15 9h.01' }],\n ],\n];\n\nexport default ScanFace;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name scan-line\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/scan-line\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ScanLine: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 7V5a2 2 0 0 1 2-2h2' }],\n ['path', { d: 'M17 3h2a2 2 0 0 1 2 2v2' }],\n ['path', { d: 'M21 17v2a2 2 0 0 1-2 2h-2' }],\n ['path', { d: 'M7 21H5a2 2 0 0 1-2-2v-2' }],\n ['path', { d: 'M7 12h10' }],\n ],\n];\n\nexport default ScanLine;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name scan-qr-code\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/scan-qr-code\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ScanQrCode: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M17 12v4a1 1 0 0 1-1 1h-4' }],\n ['path', { d: 'M17 3h2a2 2 0 0 1 2 2v2' }],\n ['path', { d: 'M17 8V7' }],\n ['path', { d: 'M21 17v2a2 2 0 0 1-2 2h-2' }],\n ['path', { d: 'M3 7V5a2 2 0 0 1 2-2h2' }],\n ['path', { d: 'M7 17h.01' }],\n ['path', { d: 'M7 21H5a2 2 0 0 1-2-2v-2' }],\n ['rect', { x: '7', y: '7', width: '5', height: '5', rx: '1' }],\n ],\n];\n\nexport default ScanQrCode;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name scan-search\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/scan-search\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ScanSearch: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 7V5a2 2 0 0 1 2-2h2' }],\n ['path', { d: 'M17 3h2a2 2 0 0 1 2 2v2' }],\n ['path', { d: 'M21 17v2a2 2 0 0 1-2 2h-2' }],\n ['path', { d: 'M7 21H5a2 2 0 0 1-2-2v-2' }],\n ['circle', { cx: '12', cy: '12', r: '3' }],\n ['path', { d: 'm16 16-1.9-1.9' }],\n ],\n];\n\nexport default ScanSearch;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name scan-text\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/scan-text\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ScanText: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 7V5a2 2 0 0 1 2-2h2' }],\n ['path', { d: 'M17 3h2a2 2 0 0 1 2 2v2' }],\n ['path', { d: 'M21 17v2a2 2 0 0 1-2 2h-2' }],\n ['path', { d: 'M7 21H5a2 2 0 0 1-2-2v-2' }],\n ['path', { d: 'M7 8h8' }],\n ['path', { d: 'M7 12h10' }],\n ['path', { d: 'M7 16h6' }],\n ],\n];\n\nexport default ScanText;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name scan\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/scan\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Scan: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 7V5a2 2 0 0 1 2-2h2' }],\n ['path', { d: 'M17 3h2a2 2 0 0 1 2 2v2' }],\n ['path', { d: 'M21 17v2a2 2 0 0 1-2 2h-2' }],\n ['path', { d: 'M7 21H5a2 2 0 0 1-2-2v-2' }],\n ],\n];\n\nexport default Scan;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name school\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/school\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst School: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M14 22v-4a2 2 0 1 0-4 0v4' }],\n ['path', { d: 'm18 10 4 2v8a2 2 0 0 1-2 2H4a2 2 0 0 1-2-2v-8l4-2' }],\n ['path', { d: 'M18 5v17' }],\n ['path', { d: 'm4 6 8-4 8 4' }],\n ['path', { d: 'M6 5v17' }],\n ['circle', { cx: '12', cy: '9', r: '2' }],\n ],\n];\n\nexport default School;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name scissors-line-dashed\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/scissors-line-dashed\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ScissorsLineDashed: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5.42 9.42 8 12' }],\n ['circle', { cx: '4', cy: '8', r: '2' }],\n ['path', { d: 'm14 6-8.58 8.58' }],\n ['circle', { cx: '4', cy: '16', r: '2' }],\n ['path', { d: 'M10.8 14.8 14 18' }],\n ['path', { d: 'M16 12h-2' }],\n ['path', { d: 'M22 12h-2' }],\n ],\n];\n\nexport default ScissorsLineDashed;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name scissors\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/scissors\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Scissors: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '6', cy: '6', r: '3' }],\n ['path', { d: 'M8.12 8.12 12 12' }],\n ['path', { d: 'M20 4 8.12 15.88' }],\n ['circle', { cx: '6', cy: '18', r: '3' }],\n ['path', { d: 'M14.8 14.8 20 20' }],\n ],\n];\n\nexport default Scissors;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name screen-share-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/screen-share-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ScreenShareOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13 3H4a2 2 0 0 0-2 2v10a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2v-3' }],\n ['path', { d: 'M8 21h8' }],\n ['path', { d: 'M12 17v4' }],\n ['path', { d: 'm22 3-5 5' }],\n ['path', { d: 'm17 3 5 5' }],\n ],\n];\n\nexport default ScreenShareOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name screen-share\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/screen-share\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ScreenShare: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13 3H4a2 2 0 0 0-2 2v10a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2v-3' }],\n ['path', { d: 'M8 21h8' }],\n ['path', { d: 'M12 17v4' }],\n ['path', { d: 'm17 8 5-5' }],\n ['path', { d: 'M17 3h5v5' }],\n ],\n];\n\nexport default ScreenShare;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name scroll-text\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/scroll-text\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ScrollText: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 12h-5' }],\n ['path', { d: 'M15 8h-5' }],\n ['path', { d: 'M19 17V5a2 2 0 0 0-2-2H4' }],\n [\n 'path',\n {\n d: 'M8 21h12a2 2 0 0 0 2-2v-1a1 1 0 0 0-1-1H11a1 1 0 0 0-1 1v1a2 2 0 1 1-4 0V5a2 2 0 1 0-4 0v2a1 1 0 0 0 1 1h3',\n },\n ],\n ],\n];\n\nexport default ScrollText;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name scroll\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/scroll\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Scroll: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M19 17V5a2 2 0 0 0-2-2H4' }],\n [\n 'path',\n {\n d: 'M8 21h12a2 2 0 0 0 2-2v-1a1 1 0 0 0-1-1H11a1 1 0 0 0-1 1v1a2 2 0 1 1-4 0V5a2 2 0 1 0-4 0v2a1 1 0 0 0 1 1h3',\n },\n ],\n ],\n];\n\nexport default Scroll;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name search-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/search-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SearchCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm8 11 2 2 4-4' }],\n ['circle', { cx: '11', cy: '11', r: '8' }],\n ['path', { d: 'm21 21-4.3-4.3' }],\n ],\n];\n\nexport default SearchCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name search-code\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/search-code\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SearchCode: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm13 13.5 2-2.5-2-2.5' }],\n ['path', { d: 'm21 21-4.3-4.3' }],\n ['path', { d: 'M9 8.5 7 11l2 2.5' }],\n ['circle', { cx: '11', cy: '11', r: '8' }],\n ],\n];\n\nexport default SearchCode;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name search-slash\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/search-slash\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SearchSlash: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm13.5 8.5-5 5' }],\n ['circle', { cx: '11', cy: '11', r: '8' }],\n ['path', { d: 'm21 21-4.3-4.3' }],\n ],\n];\n\nexport default SearchSlash;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name search-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/search-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SearchX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm13.5 8.5-5 5' }],\n ['path', { d: 'm8.5 8.5 5 5' }],\n ['circle', { cx: '11', cy: '11', r: '8' }],\n ['path', { d: 'm21 21-4.3-4.3' }],\n ],\n];\n\nexport default SearchX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name search\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/search\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Search: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '11', cy: '11', r: '8' }],\n ['path', { d: 'm21 21-4.3-4.3' }],\n ],\n];\n\nexport default Search;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name section\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/section\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Section: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 5a4 3 0 0 0-8 0c0 4 8 3 8 7a4 3 0 0 1-8 0' }],\n ['path', { d: 'M8 19a4 3 0 0 0 8 0c0-4-8-3-8-7a4 3 0 0 1 8 0' }],\n ],\n];\n\nexport default Section;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name send-horizontal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/send-horizontal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SendHorizontal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm3 3 3 9-3 9 19-9Z' }],\n ['path', { d: 'M6 12h16' }],\n ],\n];\n\nexport default SendHorizontal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name send-to-back\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/send-to-back\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SendToBack: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { x: '14', y: '14', width: '8', height: '8', rx: '2' }],\n ['rect', { x: '2', y: '2', width: '8', height: '8', rx: '2' }],\n ['path', { d: 'M7 14v1a2 2 0 0 0 2 2h1' }],\n ['path', { d: 'M14 7h1a2 2 0 0 1 2 2v1' }],\n ],\n];\n\nexport default SendToBack;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name send\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/send\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Send: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm22 2-7 20-4-9-9-4Z' }],\n ['path', { d: 'M22 2 11 13' }],\n ],\n];\n\nexport default Send;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name separator-horizontal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/separator-horizontal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SeparatorHorizontal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '3', x2: '21', y1: '12', y2: '12' }],\n ['polyline', { points: '8 8 12 4 16 8' }],\n ['polyline', { points: '16 16 12 20 8 16' }],\n ],\n];\n\nexport default SeparatorHorizontal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name separator-vertical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/separator-vertical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SeparatorVertical: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '12', x2: '12', y1: '3', y2: '21' }],\n ['polyline', { points: '8 8 4 12 8 16' }],\n ['polyline', { points: '16 16 20 12 16 8' }],\n ],\n];\n\nexport default SeparatorVertical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name server-cog\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/server-cog\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ServerCog: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '3' }],\n ['path', { d: 'M4.5 10H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2v4a2 2 0 0 1-2 2h-.5' }],\n [\n 'path',\n { d: 'M4.5 14H4a2 2 0 0 0-2 2v4a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2v-4a2 2 0 0 0-2-2h-.5' },\n ],\n ['path', { d: 'M6 6h.01' }],\n ['path', { d: 'M6 18h.01' }],\n ['path', { d: 'm15.7 13.4-.9-.3' }],\n ['path', { d: 'm9.2 10.9-.9-.3' }],\n ['path', { d: 'm10.6 15.7.3-.9' }],\n ['path', { d: 'm13.6 15.7-.4-1' }],\n ['path', { d: 'm10.8 9.3-.4-1' }],\n ['path', { d: 'm8.3 13.6 1-.4' }],\n ['path', { d: 'm14.7 10.8 1-.4' }],\n ['path', { d: 'm13.4 8.3-.3.9' }],\n ],\n];\n\nexport default ServerCog;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name server-crash\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/server-crash\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ServerCrash: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 10H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2v4a2 2 0 0 1-2 2h-2' }],\n ['path', { d: 'M6 14H4a2 2 0 0 0-2 2v4a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2v-4a2 2 0 0 0-2-2h-2' }],\n ['path', { d: 'M6 6h.01' }],\n ['path', { d: 'M6 18h.01' }],\n ['path', { d: 'm13 6-4 6h6l-4 6' }],\n ],\n];\n\nexport default ServerCrash;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name server-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/server-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ServerOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7 2h13a2 2 0 0 1 2 2v4a2 2 0 0 1-2 2h-5' }],\n ['path', { d: 'M10 10 2.5 2.5C2 2 2 2.5 2 5v3a2 2 0 0 0 2 2h6z' }],\n ['path', { d: 'M22 17v-1a2 2 0 0 0-2-2h-1' }],\n ['path', { d: 'M4 14a2 2 0 0 0-2 2v4a2 2 0 0 0 2 2h16.5l1-.5.5.5-8-8H4z' }],\n ['path', { d: 'M6 18h.01' }],\n ['path', { d: 'm2 2 20 20' }],\n ],\n];\n\nexport default ServerOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name server\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/server\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Server: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '8', x: '2', y: '2', rx: '2', ry: '2' }],\n ['rect', { width: '20', height: '8', x: '2', y: '14', rx: '2', ry: '2' }],\n ['line', { x1: '6', x2: '6.01', y1: '6', y2: '6' }],\n ['line', { x1: '6', x2: '6.01', y1: '18', y2: '18' }],\n ],\n];\n\nexport default Server;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name settings-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/settings-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Settings2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M20 7h-9' }],\n ['path', { d: 'M14 17H5' }],\n ['circle', { cx: '17', cy: '17', r: '3' }],\n ['circle', { cx: '7', cy: '7', r: '3' }],\n ],\n];\n\nexport default Settings2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name settings\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/settings\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Settings: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M12.22 2h-.44a2 2 0 0 0-2 2v.18a2 2 0 0 1-1 1.73l-.43.25a2 2 0 0 1-2 0l-.15-.08a2 2 0 0 0-2.73.73l-.22.38a2 2 0 0 0 .73 2.73l.15.1a2 2 0 0 1 1 1.72v.51a2 2 0 0 1-1 1.74l-.15.09a2 2 0 0 0-.73 2.73l.22.38a2 2 0 0 0 2.73.73l.15-.08a2 2 0 0 1 2 0l.43.25a2 2 0 0 1 1 1.73V20a2 2 0 0 0 2 2h.44a2 2 0 0 0 2-2v-.18a2 2 0 0 1 1-1.73l.43-.25a2 2 0 0 1 2 0l.15.08a2 2 0 0 0 2.73-.73l.22-.39a2 2 0 0 0-.73-2.73l-.15-.08a2 2 0 0 1-1-1.74v-.5a2 2 0 0 1 1-1.74l.15-.09a2 2 0 0 0 .73-2.73l-.22-.38a2 2 0 0 0-2.73-.73l-.15.08a2 2 0 0 1-2 0l-.43-.25a2 2 0 0 1-1-1.73V4a2 2 0 0 0-2-2z',\n },\n ],\n ['circle', { cx: '12', cy: '12', r: '3' }],\n ],\n];\n\nexport default Settings;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shapes\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shapes\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Shapes: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M8.3 10a.7.7 0 0 1-.626-1.079L11.4 3a.7.7 0 0 1 1.198-.043L16.3 8.9a.7.7 0 0 1-.572 1.1Z',\n },\n ],\n ['rect', { x: '3', y: '14', width: '7', height: '7', rx: '1' }],\n ['circle', { cx: '17.5', cy: '17.5', r: '3.5' }],\n ],\n];\n\nexport default Shapes;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name share-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/share-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Share2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '18', cy: '5', r: '3' }],\n ['circle', { cx: '6', cy: '12', r: '3' }],\n ['circle', { cx: '18', cy: '19', r: '3' }],\n ['line', { x1: '8.59', x2: '15.42', y1: '13.51', y2: '17.49' }],\n ['line', { x1: '15.41', x2: '8.59', y1: '6.51', y2: '10.49' }],\n ],\n];\n\nexport default Share2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name share\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/share\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Share: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 12v8a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2v-8' }],\n ['polyline', { points: '16 6 12 2 8 6' }],\n ['line', { x1: '12', x2: '12', y1: '2', y2: '15' }],\n ],\n];\n\nexport default Share;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name sheet\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/sheet\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Sheet: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2', ry: '2' }],\n ['line', { x1: '3', x2: '21', y1: '9', y2: '9' }],\n ['line', { x1: '3', x2: '21', y1: '15', y2: '15' }],\n ['line', { x1: '9', x2: '9', y1: '9', y2: '21' }],\n ['line', { x1: '15', x2: '15', y1: '9', y2: '21' }],\n ],\n];\n\nexport default Sheet;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shell\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shell\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Shell: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M14 11a2 2 0 1 1-4 0 4 4 0 0 1 8 0 6 6 0 0 1-12 0 8 8 0 0 1 16 0 10 10 0 1 1-20 0 11.93 11.93 0 0 1 2.42-7.22 2 2 0 1 1 3.16 2.44',\n },\n ],\n ],\n];\n\nexport default Shell;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shield-alert\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shield-alert\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ShieldAlert: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 13c0 5-3.5 7.5-7.66 8.95a1 1 0 0 1-.67-.01C7.5 20.5 4 18 4 13V6a1 1 0 0 1 1-1c2 0 4.5-1.2 6.24-2.72a1.17 1.17 0 0 1 1.52 0C14.51 3.81 17 5 19 5a1 1 0 0 1 1 1z',\n },\n ],\n ['path', { d: 'M12 8v4' }],\n ['path', { d: 'M12 16h.01' }],\n ],\n];\n\nexport default ShieldAlert;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shield-ban\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shield-ban\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ShieldBan: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 13c0 5-3.5 7.5-7.66 8.95a1 1 0 0 1-.67-.01C7.5 20.5 4 18 4 13V6a1 1 0 0 1 1-1c2 0 4.5-1.2 6.24-2.72a1.17 1.17 0 0 1 1.52 0C14.51 3.81 17 5 19 5a1 1 0 0 1 1 1z',\n },\n ],\n ['path', { d: 'm4.243 5.21 14.39 12.472' }],\n ],\n];\n\nexport default ShieldBan;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shield-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shield-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ShieldCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 13c0 5-3.5 7.5-7.66 8.95a1 1 0 0 1-.67-.01C7.5 20.5 4 18 4 13V6a1 1 0 0 1 1-1c2 0 4.5-1.2 6.24-2.72a1.17 1.17 0 0 1 1.52 0C14.51 3.81 17 5 19 5a1 1 0 0 1 1 1z',\n },\n ],\n ['path', { d: 'm9 12 2 2 4-4' }],\n ],\n];\n\nexport default ShieldCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shield-ellipsis\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shield-ellipsis\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ShieldEllipsis: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 13c0 5-3.5 7.5-7.66 8.95a1 1 0 0 1-.67-.01C7.5 20.5 4 18 4 13V6a1 1 0 0 1 1-1c2 0 4.5-1.2 6.24-2.72a1.17 1.17 0 0 1 1.52 0C14.51 3.81 17 5 19 5a1 1 0 0 1 1 1z',\n },\n ],\n ['path', { d: 'M8 12h.01' }],\n ['path', { d: 'M12 12h.01' }],\n ['path', { d: 'M16 12h.01' }],\n ],\n];\n\nexport default ShieldEllipsis;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shield-half\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shield-half\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ShieldHalf: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 13c0 5-3.5 7.5-7.66 8.95a1 1 0 0 1-.67-.01C7.5 20.5 4 18 4 13V6a1 1 0 0 1 1-1c2 0 4.5-1.2 6.24-2.72a1.17 1.17 0 0 1 1.52 0C14.51 3.81 17 5 19 5a1 1 0 0 1 1 1z',\n },\n ],\n ['path', { d: 'M12 22V2' }],\n ],\n];\n\nexport default ShieldHalf;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shield-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shield-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ShieldMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 13c0 5-3.5 7.5-7.66 8.95a1 1 0 0 1-.67-.01C7.5 20.5 4 18 4 13V6a1 1 0 0 1 1-1c2 0 4.5-1.2 6.24-2.72a1.17 1.17 0 0 1 1.52 0C14.51 3.81 17 5 19 5a1 1 0 0 1 1 1z',\n },\n ],\n ['path', { d: 'M9 12h6' }],\n ],\n];\n\nexport default ShieldMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shield-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shield-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ShieldOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm2 2 20 20' }],\n [\n 'path',\n {\n d: 'M5 5a1 1 0 0 0-1 1v7c0 5 3.5 7.5 7.67 8.94a1 1 0 0 0 .67.01c2.35-.82 4.48-1.97 5.9-3.71',\n },\n ],\n [\n 'path',\n {\n d: 'M9.309 3.652A12.252 12.252 0 0 0 11.24 2.28a1.17 1.17 0 0 1 1.52 0C14.51 3.81 17 5 19 5a1 1 0 0 1 1 1v7a9.784 9.784 0 0 1-.08 1.264',\n },\n ],\n ],\n];\n\nexport default ShieldOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shield-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shield-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ShieldPlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 13c0 5-3.5 7.5-7.66 8.95a1 1 0 0 1-.67-.01C7.5 20.5 4 18 4 13V6a1 1 0 0 1 1-1c2 0 4.5-1.2 6.24-2.72a1.17 1.17 0 0 1 1.52 0C14.51 3.81 17 5 19 5a1 1 0 0 1 1 1z',\n },\n ],\n ['path', { d: 'M9 12h6' }],\n ['path', { d: 'M12 9v6' }],\n ],\n];\n\nexport default ShieldPlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shield-question\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shield-question\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ShieldQuestion: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 13c0 5-3.5 7.5-7.66 8.95a1 1 0 0 1-.67-.01C7.5 20.5 4 18 4 13V6a1 1 0 0 1 1-1c2 0 4.5-1.2 6.24-2.72a1.17 1.17 0 0 1 1.52 0C14.51 3.81 17 5 19 5a1 1 0 0 1 1 1z',\n },\n ],\n ['path', { d: 'M9.1 9a3 3 0 0 1 5.82 1c0 2-3 3-3 3' }],\n ['path', { d: 'M12 17h.01' }],\n ],\n];\n\nexport default ShieldQuestion;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shield-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shield-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ShieldX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 13c0 5-3.5 7.5-7.66 8.95a1 1 0 0 1-.67-.01C7.5 20.5 4 18 4 13V6a1 1 0 0 1 1-1c2 0 4.5-1.2 6.24-2.72a1.17 1.17 0 0 1 1.52 0C14.51 3.81 17 5 19 5a1 1 0 0 1 1 1z',\n },\n ],\n ['path', { d: 'm14.5 9.5-5 5' }],\n ['path', { d: 'm9.5 9.5 5 5' }],\n ],\n];\n\nexport default ShieldX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shield\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shield\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Shield: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20 13c0 5-3.5 7.5-7.66 8.95a1 1 0 0 1-.67-.01C7.5 20.5 4 18 4 13V6a1 1 0 0 1 1-1c2 0 4.5-1.2 6.24-2.72a1.17 1.17 0 0 1 1.52 0C14.51 3.81 17 5 19 5a1 1 0 0 1 1 1z',\n },\n ],\n ],\n];\n\nexport default Shield;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ship-wheel\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ship-wheel\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ShipWheel: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '8' }],\n ['path', { d: 'M12 2v7.5' }],\n ['path', { d: 'm19 5-5.23 5.23' }],\n ['path', { d: 'M22 12h-7.5' }],\n ['path', { d: 'm19 19-5.23-5.23' }],\n ['path', { d: 'M12 14.5V22' }],\n ['path', { d: 'M10.23 13.77 5 19' }],\n ['path', { d: 'M9.5 12H2' }],\n ['path', { d: 'M10.23 10.23 5 5' }],\n ['circle', { cx: '12', cy: '12', r: '2.5' }],\n ],\n];\n\nexport default ShipWheel;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ship\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ship\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Ship: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2 21c.6.5 1.2 1 2.5 1 2.5 0 2.5-2 5-2 1.3 0 1.9.5 2.5 1 .6.5 1.2 1 2.5 1 2.5 0 2.5-2 5-2 1.3 0 1.9.5 2.5 1',\n },\n ],\n ['path', { d: 'M19.38 20A11.6 11.6 0 0 0 21 14l-9-4-9 4c0 2.9.94 5.34 2.81 7.76' }],\n ['path', { d: 'M19 13V7a2 2 0 0 0-2-2H7a2 2 0 0 0-2 2v6' }],\n ['path', { d: 'M12 10v4' }],\n ['path', { d: 'M12 2v3' }],\n ],\n];\n\nexport default Ship;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shirt\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shirt\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Shirt: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M20.38 3.46 16 2a4 4 0 0 1-8 0L3.62 3.46a2 2 0 0 0-1.34 2.23l.58 3.47a1 1 0 0 0 .99.84H6v10c0 1.1.9 2 2 2h8a2 2 0 0 0 2-2V10h2.15a1 1 0 0 0 .99-.84l.58-3.47a2 2 0 0 0-1.34-2.23z',\n },\n ],\n ],\n];\n\nexport default Shirt;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shopping-bag\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shopping-bag\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ShoppingBag: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 2 3 6v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2V6l-3-4Z' }],\n ['path', { d: 'M3 6h18' }],\n ['path', { d: 'M16 10a4 4 0 0 1-8 0' }],\n ],\n];\n\nexport default ShoppingBag;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shopping-basket\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shopping-basket\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ShoppingBasket: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm15 11-1 9' }],\n ['path', { d: 'm19 11-4-7' }],\n ['path', { d: 'M2 11h20' }],\n ['path', { d: 'm3.5 11 1.6 7.4a2 2 0 0 0 2 1.6h9.8a2 2 0 0 0 2-1.6l1.7-7.4' }],\n ['path', { d: 'M4.5 15.5h15' }],\n ['path', { d: 'm5 11 4-7' }],\n ['path', { d: 'm9 11 1 9' }],\n ],\n];\n\nexport default ShoppingBasket;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shopping-cart\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shopping-cart\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ShoppingCart: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '8', cy: '21', r: '1' }],\n ['circle', { cx: '19', cy: '21', r: '1' }],\n [\n 'path',\n { d: 'M2.05 2.05h2l2.66 12.42a2 2 0 0 0 2 1.58h9.78a2 2 0 0 0 1.95-1.57l1.65-7.43H5.12' },\n ],\n ],\n];\n\nexport default ShoppingCart;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shovel\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shovel\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Shovel: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 22v-5l5-5 5 5-5 5z' }],\n ['path', { d: 'M9.5 14.5 16 8' }],\n ['path', { d: 'm17 2 5 5-.5.5a3.53 3.53 0 0 1-5 0s0 0 0 0a3.53 3.53 0 0 1 0-5L17 2' }],\n ],\n];\n\nexport default Shovel;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shower-head\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shower-head\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ShowerHead: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm4 4 2.5 2.5' }],\n ['path', { d: 'M13.5 6.5a4.95 4.95 0 0 0-7 7' }],\n ['path', { d: 'M15 5 5 15' }],\n ['path', { d: 'M14 17v.01' }],\n ['path', { d: 'M10 16v.01' }],\n ['path', { d: 'M13 13v.01' }],\n ['path', { d: 'M16 10v.01' }],\n ['path', { d: 'M11 20v.01' }],\n ['path', { d: 'M17 14v.01' }],\n ['path', { d: 'M20 11v.01' }],\n ],\n];\n\nexport default ShowerHead;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shrink\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shrink\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Shrink: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm15 15 6 6m-6-6v4.8m0-4.8h4.8' }],\n ['path', { d: 'M9 19.8V15m0 0H4.2M9 15l-6 6' }],\n ['path', { d: 'M15 4.2V9m0 0h4.8M15 9l6-6' }],\n ['path', { d: 'M9 4.2V9m0 0H4.2M9 9 3 3' }],\n ],\n];\n\nexport default Shrink;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shrub\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shrub\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Shrub: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 22v-7l-2-2' }],\n ['path', { d: 'M17 8v.8A6 6 0 0 1 13.8 20H10A6.5 6.5 0 0 1 7 8a5 5 0 0 1 10 0Z' }],\n ['path', { d: 'm14 14-2 2' }],\n ],\n];\n\nexport default Shrub;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name shuffle\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/shuffle\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Shuffle: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 18h1.4c1.3 0 2.5-.6 3.3-1.7l6.1-8.6c.7-1.1 2-1.7 3.3-1.7H22' }],\n ['path', { d: 'm18 2 4 4-4 4' }],\n ['path', { d: 'M2 6h1.9c1.5 0 2.9.9 3.6 2.2' }],\n ['path', { d: 'M22 18h-5.9c-1.3 0-2.6-.7-3.3-1.8l-.5-.8' }],\n ['path', { d: 'm18 14 4 4-4 4' }],\n ],\n];\n\nexport default Shuffle;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name sigma\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/sigma\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Sigma: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M18 7V5a1 1 0 0 0-1-1H6.5a.5.5 0 0 0-.4.8l4.5 6a2 2 0 0 1 0 2.4l-4.5 6a.5.5 0 0 0 .4.8H17a1 1 0 0 0 1-1v-2',\n },\n ],\n ],\n];\n\nexport default Sigma;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name signal-high\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/signal-high\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SignalHigh: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 20h.01' }],\n ['path', { d: 'M7 20v-4' }],\n ['path', { d: 'M12 20v-8' }],\n ['path', { d: 'M17 20V8' }],\n ],\n];\n\nexport default SignalHigh;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name signal-low\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/signal-low\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SignalLow: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 20h.01' }],\n ['path', { d: 'M7 20v-4' }],\n ],\n];\n\nexport default SignalLow;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name signal-medium\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/signal-medium\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SignalMedium: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 20h.01' }],\n ['path', { d: 'M7 20v-4' }],\n ['path', { d: 'M12 20v-8' }],\n ],\n];\n\nexport default SignalMedium;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name signal-zero\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/signal-zero\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SignalZero: IconNode = ['svg', defaultAttributes, [['path', { d: 'M2 20h.01' }]]];\n\nexport default SignalZero;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name signal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/signal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Signal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 20h.01' }],\n ['path', { d: 'M7 20v-4' }],\n ['path', { d: 'M12 20v-8' }],\n ['path', { d: 'M17 20V8' }],\n ['path', { d: 'M22 4v16' }],\n ],\n];\n\nexport default Signal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name signature\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/signature\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Signature: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm21 17-2.156-1.868A.5.5 0 0 0 18 15.5v.5a1 1 0 0 1-1 1h-2a1 1 0 0 1-1-1c0-2.545-3.991-3.97-8.5-4a1 1 0 0 0 0 5c4.153 0 4.745-11.295 5.708-13.5a2.5 2.5 0 1 1 3.31 3.284',\n },\n ],\n ['path', { d: 'M3 21h18' }],\n ],\n];\n\nexport default Signature;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name signpost-big\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/signpost-big\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SignpostBig: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 9H4L2 7l2-2h6' }],\n ['path', { d: 'M14 5h6l2 2-2 2h-6' }],\n ['path', { d: 'M10 22V4a2 2 0 1 1 4 0v18' }],\n ['path', { d: 'M8 22h8' }],\n ],\n];\n\nexport default SignpostBig;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name signpost\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/signpost\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Signpost: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 13v8' }],\n ['path', { d: 'M12 3v3' }],\n [\n 'path',\n {\n d: 'M18 6a2 2 0 0 1 1.414.586l2.293 2.207a1 1 0 0 1 0 1.414l-2.27 2.184a2 2 0 0 1-1.742.586L6 13a2 2 0 0 1-1.414-.586l-2.293-2.207a1 1 0 0 1 0-1.414l2.293-2.207A2 2 0 0 1 6 6z',\n },\n ],\n ],\n];\n\nexport default Signpost;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name siren\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/siren\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Siren: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7 18v-6a5 5 0 1 1 10 0v6' }],\n ['path', { d: 'M5 21a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1v-1a2 2 0 0 0-2-2H7a2 2 0 0 0-2 2z' }],\n ['path', { d: 'M21 12h1' }],\n ['path', { d: 'M18.5 4.5 18 5' }],\n ['path', { d: 'M2 12h1' }],\n ['path', { d: 'M12 2v1' }],\n ['path', { d: 'm4.929 4.929.707.707' }],\n ['path', { d: 'M12 12v6' }],\n ],\n];\n\nexport default Siren;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name skip-back\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/skip-back\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SkipBack: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polygon', { points: '19 20 9 12 19 4 19 20' }],\n ['line', { x1: '5', x2: '5', y1: '19', y2: '5' }],\n ],\n];\n\nexport default SkipBack;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name skip-forward\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/skip-forward\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SkipForward: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polygon', { points: '5 4 15 12 5 20 5 4' }],\n ['line', { x1: '19', x2: '19', y1: '5', y2: '19' }],\n ],\n];\n\nexport default SkipForward;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name skull\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/skull\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Skull: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '9', cy: '12', r: '1' }],\n ['circle', { cx: '15', cy: '12', r: '1' }],\n ['path', { d: 'M8 20v2h8v-2' }],\n ['path', { d: 'm12.5 17-.5-1-.5 1h1z' }],\n ['path', { d: 'M16 20a2 2 0 0 0 1.56-3.25 8 8 0 1 0-11.12 0A2 2 0 0 0 8 20' }],\n ],\n];\n\nexport default Skull;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name slack\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/slack\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n * @deprecated Brand icons have been deprecated and are due to be removed, please refer to https://github.com/lucide-icons/lucide/issues/670. We recommend using https://simpleicons.org/?q=slack instead. This icon will be removed in v1.0\n */\nconst Slack: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '3', height: '8', x: '13', y: '2', rx: '1.5' }],\n ['path', { d: 'M19 8.5V10h1.5A1.5 1.5 0 1 0 19 8.5' }],\n ['rect', { width: '3', height: '8', x: '8', y: '14', rx: '1.5' }],\n ['path', { d: 'M5 15.5V14H3.5A1.5 1.5 0 1 0 5 15.5' }],\n ['rect', { width: '8', height: '3', x: '14', y: '13', rx: '1.5' }],\n ['path', { d: 'M15.5 19H14v1.5a1.5 1.5 0 1 0 1.5-1.5' }],\n ['rect', { width: '8', height: '3', x: '2', y: '8', rx: '1.5' }],\n ['path', { d: 'M8.5 5H10V3.5A1.5 1.5 0 1 0 8.5 5' }],\n ],\n];\n\nexport default Slack;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name slash\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/slash\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Slash: IconNode = ['svg', defaultAttributes, [['path', { d: 'M22 2 2 22' }]]];\n\nexport default Slash;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name slice\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/slice\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Slice: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm8 14-6 6h9v-3' }],\n ['path', { d: 'M18.37 3.63 8 14l3 3L21.37 6.63a2.12 2.12 0 1 0-3-3Z' }],\n ],\n];\n\nexport default Slice;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name sliders-horizontal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/sliders-horizontal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SlidersHorizontal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '21', x2: '14', y1: '4', y2: '4' }],\n ['line', { x1: '10', x2: '3', y1: '4', y2: '4' }],\n ['line', { x1: '21', x2: '12', y1: '12', y2: '12' }],\n ['line', { x1: '8', x2: '3', y1: '12', y2: '12' }],\n ['line', { x1: '21', x2: '16', y1: '20', y2: '20' }],\n ['line', { x1: '12', x2: '3', y1: '20', y2: '20' }],\n ['line', { x1: '14', x2: '14', y1: '2', y2: '6' }],\n ['line', { x1: '8', x2: '8', y1: '10', y2: '14' }],\n ['line', { x1: '16', x2: '16', y1: '18', y2: '22' }],\n ],\n];\n\nexport default SlidersHorizontal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name sliders-vertical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/sliders-vertical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SlidersVertical: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '4', x2: '4', y1: '21', y2: '14' }],\n ['line', { x1: '4', x2: '4', y1: '10', y2: '3' }],\n ['line', { x1: '12', x2: '12', y1: '21', y2: '12' }],\n ['line', { x1: '12', x2: '12', y1: '8', y2: '3' }],\n ['line', { x1: '20', x2: '20', y1: '21', y2: '16' }],\n ['line', { x1: '20', x2: '20', y1: '12', y2: '3' }],\n ['line', { x1: '2', x2: '6', y1: '14', y2: '14' }],\n ['line', { x1: '10', x2: '14', y1: '8', y2: '8' }],\n ['line', { x1: '18', x2: '22', y1: '16', y2: '16' }],\n ],\n];\n\nexport default SlidersVertical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name smartphone-charging\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/smartphone-charging\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SmartphoneCharging: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '14', height: '20', x: '5', y: '2', rx: '2', ry: '2' }],\n ['path', { d: 'M12.667 8 10 12h4l-2.667 4' }],\n ],\n];\n\nexport default SmartphoneCharging;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name smartphone-nfc\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/smartphone-nfc\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SmartphoneNfc: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '7', height: '12', x: '2', y: '6', rx: '1' }],\n ['path', { d: 'M13 8.32a7.43 7.43 0 0 1 0 7.36' }],\n ['path', { d: 'M16.46 6.21a11.76 11.76 0 0 1 0 11.58' }],\n ['path', { d: 'M19.91 4.1a15.91 15.91 0 0 1 .01 15.8' }],\n ],\n];\n\nexport default SmartphoneNfc;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name smartphone\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/smartphone\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Smartphone: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '14', height: '20', x: '5', y: '2', rx: '2', ry: '2' }],\n ['path', { d: 'M12 18h.01' }],\n ],\n];\n\nexport default Smartphone;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name smile-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/smile-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SmilePlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M22 11v1a10 10 0 1 1-9-10' }],\n ['path', { d: 'M8 14s1.5 2 4 2 4-2 4-2' }],\n ['line', { x1: '9', x2: '9.01', y1: '9', y2: '9' }],\n ['line', { x1: '15', x2: '15.01', y1: '9', y2: '9' }],\n ['path', { d: 'M16 5h6' }],\n ['path', { d: 'M19 2v6' }],\n ],\n];\n\nexport default SmilePlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name smile\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/smile\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Smile: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['path', { d: 'M8 14s1.5 2 4 2 4-2 4-2' }],\n ['line', { x1: '9', x2: '9.01', y1: '9', y2: '9' }],\n ['line', { x1: '15', x2: '15.01', y1: '9', y2: '9' }],\n ],\n];\n\nexport default Smile;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name snail\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/snail\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Snail: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 13a6 6 0 1 0 12 0 4 4 0 1 0-8 0 2 2 0 0 0 4 0' }],\n ['circle', { cx: '10', cy: '13', r: '8' }],\n ['path', { d: 'M2 21h12c4.4 0 8-3.6 8-8V7a2 2 0 1 0-4 0v6' }],\n ['path', { d: 'M18 3 19.1 5.2' }],\n ['path', { d: 'M22 3 20.9 5.2' }],\n ],\n];\n\nexport default Snail;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name snowflake\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/snowflake\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Snowflake: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '2', x2: '22', y1: '12', y2: '12' }],\n ['line', { x1: '12', x2: '12', y1: '2', y2: '22' }],\n ['path', { d: 'm20 16-4-4 4-4' }],\n ['path', { d: 'm4 8 4 4-4 4' }],\n ['path', { d: 'm16 4-4 4-4-4' }],\n ['path', { d: 'm8 20 4-4 4 4' }],\n ],\n];\n\nexport default Snowflake;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name sofa\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/sofa\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Sofa: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M20 9V6a2 2 0 0 0-2-2H6a2 2 0 0 0-2 2v3' }],\n [\n 'path',\n {\n d: 'M2 16a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2v-5a2 2 0 0 0-4 0v1.5a.5.5 0 0 1-.5.5h-11a.5.5 0 0 1-.5-.5V11a2 2 0 0 0-4 0z',\n },\n ],\n ['path', { d: 'M4 18v2' }],\n ['path', { d: 'M20 18v2' }],\n ['path', { d: 'M12 4v9' }],\n ],\n];\n\nexport default Sofa;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name soup\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/soup\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Soup: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 21a9 9 0 0 0 9-9H3a9 9 0 0 0 9 9Z' }],\n ['path', { d: 'M7 21h10' }],\n ['path', { d: 'M19.5 12 22 6' }],\n ['path', { d: 'M16.25 3c.27.1.8.53.75 1.36-.06.83-.93 1.2-1 2.02-.05.78.34 1.24.73 1.62' }],\n ['path', { d: 'M11.25 3c.27.1.8.53.74 1.36-.05.83-.93 1.2-.98 2.02-.06.78.33 1.24.72 1.62' }],\n ['path', { d: 'M6.25 3c.27.1.8.53.75 1.36-.06.83-.93 1.2-1 2.02-.05.78.34 1.24.74 1.62' }],\n ],\n];\n\nexport default Soup;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name space\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/space\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Space: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M22 17v1c0 .5-.5 1-1 1H3c-.5 0-1-.5-1-1v-1' }]],\n];\n\nexport default Space;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name spade\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/spade\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Spade: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M5 9c-1.5 1.5-3 3.2-3 5.5A5.5 5.5 0 0 0 7.5 20c1.8 0 3-.5 4.5-2 1.5 1.5 2.7 2 4.5 2a5.5 5.5 0 0 0 5.5-5.5c0-2.3-1.5-4-3-5.5l-7-7-7 7Z',\n },\n ],\n ['path', { d: 'M12 18v4' }],\n ],\n];\n\nexport default Spade;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name sparkle\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/sparkle\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Sparkle: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M9.937 15.5A2 2 0 0 0 8.5 14.063l-6.135-1.582a.5.5 0 0 1 0-.962L8.5 9.936A2 2 0 0 0 9.937 8.5l1.582-6.135a.5.5 0 0 1 .963 0L14.063 8.5A2 2 0 0 0 15.5 9.937l6.135 1.581a.5.5 0 0 1 0 .964L15.5 14.063a2 2 0 0 0-1.437 1.437l-1.582 6.135a.5.5 0 0 1-.963 0z',\n },\n ],\n ],\n];\n\nexport default Sparkle;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name sparkles\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/sparkles\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Sparkles: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M9.937 15.5A2 2 0 0 0 8.5 14.063l-6.135-1.582a.5.5 0 0 1 0-.962L8.5 9.936A2 2 0 0 0 9.937 8.5l1.582-6.135a.5.5 0 0 1 .963 0L14.063 8.5A2 2 0 0 0 15.5 9.937l6.135 1.581a.5.5 0 0 1 0 .964L15.5 14.063a2 2 0 0 0-1.437 1.437l-1.582 6.135a.5.5 0 0 1-.963 0z',\n },\n ],\n ['path', { d: 'M20 3v4' }],\n ['path', { d: 'M22 5h-4' }],\n ['path', { d: 'M4 17v2' }],\n ['path', { d: 'M5 18H3' }],\n ],\n];\n\nexport default Sparkles;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name speaker\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/speaker\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Speaker: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '16', height: '20', x: '4', y: '2', rx: '2' }],\n ['path', { d: 'M12 6h.01' }],\n ['circle', { cx: '12', cy: '14', r: '4' }],\n ['path', { d: 'M12 14h.01' }],\n ],\n];\n\nexport default Speaker;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name speech\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/speech\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Speech: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M8.8 20v-4.1l1.9.2a2.3 2.3 0 0 0 2.164-2.1V8.3A5.37 5.37 0 0 0 2 8.25c0 2.8.656 3.054 1 4.55a5.77 5.77 0 0 1 .029 2.758L2 20',\n },\n ],\n ['path', { d: 'M19.8 17.8a7.5 7.5 0 0 0 .003-10.603' }],\n ['path', { d: 'M17 15a3.5 3.5 0 0 0-.025-4.975' }],\n ],\n];\n\nexport default Speech;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name spell-check-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/spell-check-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SpellCheck2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm6 16 6-12 6 12' }],\n ['path', { d: 'M8 12h8' }],\n [\n 'path',\n {\n d: 'M4 21c1.1 0 1.1-1 2.3-1s1.1 1 2.3 1c1.1 0 1.1-1 2.3-1 1.1 0 1.1 1 2.3 1 1.1 0 1.1-1 2.3-1 1.1 0 1.1 1 2.3 1 1.1 0 1.1-1 2.3-1',\n },\n ],\n ],\n];\n\nexport default SpellCheck2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name spell-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/spell-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SpellCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm6 16 6-12 6 12' }],\n ['path', { d: 'M8 12h8' }],\n ['path', { d: 'm16 20 2 2 4-4' }],\n ],\n];\n\nexport default SpellCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name spline\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/spline\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Spline: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '19', cy: '5', r: '2' }],\n ['circle', { cx: '5', cy: '19', r: '2' }],\n ['path', { d: 'M5 17A12 12 0 0 1 17 5' }],\n ],\n];\n\nexport default Spline;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name split\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/split\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Split: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 3h5v5' }],\n ['path', { d: 'M8 3H3v5' }],\n ['path', { d: 'M12 22v-8.3a4 4 0 0 0-1.172-2.872L3 3' }],\n ['path', { d: 'm15 9 6-6' }],\n ],\n];\n\nexport default Split;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name spray-can\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/spray-can\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SprayCan: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 3h.01' }],\n ['path', { d: 'M7 5h.01' }],\n ['path', { d: 'M11 7h.01' }],\n ['path', { d: 'M3 7h.01' }],\n ['path', { d: 'M7 9h.01' }],\n ['path', { d: 'M3 11h.01' }],\n ['rect', { width: '4', height: '4', x: '15', y: '5' }],\n ['path', { d: 'm19 9 2 2v10c0 .6-.4 1-1 1h-6c-.6 0-1-.4-1-1V11l2-2' }],\n ['path', { d: 'm13 14 8-2' }],\n ['path', { d: 'm13 19 8-2' }],\n ],\n];\n\nexport default SprayCan;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name sprout\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/sprout\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Sprout: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7 20h10' }],\n ['path', { d: 'M10 20c5.5-2.5.8-6.4 3-10' }],\n [\n 'path',\n {\n d: 'M9.5 9.4c1.1.8 1.8 2.2 2.3 3.7-2 .4-3.5.4-4.8-.3-1.2-.6-2.3-1.9-3-4.2 2.8-.5 4.4 0 5.5.8z',\n },\n ],\n [\n 'path',\n { d: 'M14.1 6a7 7 0 0 0-1.1 4c1.9-.1 3.3-.6 4.3-1.4 1-1 1.6-2.3 1.7-4.6-2.7.1-4 1-4.9 2z' },\n ],\n ],\n];\n\nexport default Sprout;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-activity\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-activity\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareActivity: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M17 12h-2l-2 5-2-10-2 5H7' }],\n ],\n];\n\nexport default SquareActivity;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-arrow-down-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-arrow-down-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareArrowDownLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'm16 8-8 8' }],\n ['path', { d: 'M16 16H8V8' }],\n ],\n];\n\nexport default SquareArrowDownLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-arrow-down-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-arrow-down-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareArrowDownRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'm8 8 8 8' }],\n ['path', { d: 'M16 8v8H8' }],\n ],\n];\n\nexport default SquareArrowDownRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-arrow-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-arrow-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareArrowDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M12 8v8' }],\n ['path', { d: 'm8 12 4 4 4-4' }],\n ],\n];\n\nexport default SquareArrowDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-arrow-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-arrow-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareArrowLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'm12 8-4 4 4 4' }],\n ['path', { d: 'M16 12H8' }],\n ],\n];\n\nexport default SquareArrowLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-arrow-out-down-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-arrow-out-down-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareArrowOutDownLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13 21h6a2 2 0 0 0 2-2V5a2 2 0 0 0-2-2H5a2 2 0 0 0-2 2v6' }],\n ['path', { d: 'm3 21 9-9' }],\n ['path', { d: 'M9 21H3v-6' }],\n ],\n];\n\nexport default SquareArrowOutDownLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-arrow-out-down-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-arrow-out-down-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareArrowOutDownRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 11V5a2 2 0 0 0-2-2H5a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h6' }],\n ['path', { d: 'm21 21-9-9' }],\n ['path', { d: 'M21 15v6h-6' }],\n ],\n];\n\nexport default SquareArrowOutDownRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-arrow-out-up-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-arrow-out-up-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareArrowOutUpLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13 3h6a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-6' }],\n ['path', { d: 'm3 3 9 9' }],\n ['path', { d: 'M3 9V3h6' }],\n ],\n];\n\nexport default SquareArrowOutUpLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-arrow-out-up-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-arrow-out-up-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareArrowOutUpRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h6' }],\n ['path', { d: 'm21 3-9 9' }],\n ['path', { d: 'M15 3h6v6' }],\n ],\n];\n\nexport default SquareArrowOutUpRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-arrow-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-arrow-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareArrowRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M8 12h8' }],\n ['path', { d: 'm12 16 4-4-4-4' }],\n ],\n];\n\nexport default SquareArrowRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-arrow-up-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-arrow-up-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareArrowUpLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M8 16V8h8' }],\n ['path', { d: 'M16 16 8 8' }],\n ],\n];\n\nexport default SquareArrowUpLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-arrow-up-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-arrow-up-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareArrowUpRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M8 8h8v8' }],\n ['path', { d: 'm8 16 8-8' }],\n ],\n];\n\nexport default SquareArrowUpRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-arrow-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-arrow-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareArrowUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'm16 12-4-4-4 4' }],\n ['path', { d: 'M12 16V8' }],\n ],\n];\n\nexport default SquareArrowUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-asterisk\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-asterisk\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareAsterisk: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M12 8v8' }],\n ['path', { d: 'm8.5 14 7-4' }],\n ['path', { d: 'm8.5 10 7 4' }],\n ],\n];\n\nexport default SquareAsterisk;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-bottom-dashed-scissors\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-bottom-dashed-scissors\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareBottomDashedScissors: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 22a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2v16a2 2 0 0 1-2 2' }],\n ['path', { d: 'M10 22H8' }],\n ['path', { d: 'M16 22h-2' }],\n ['circle', { cx: '8', cy: '8', r: '2' }],\n ['path', { d: 'M9.414 9.414 12 12' }],\n ['path', { d: 'M14.8 14.8 18 18' }],\n ['circle', { cx: '8', cy: '16', r: '2' }],\n ['path', { d: 'm18 6-8.586 8.586' }],\n ],\n];\n\nexport default SquareBottomDashedScissors;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-chart-gantt\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-chart-gantt\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareChartGantt: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M9 8h7' }],\n ['path', { d: 'M8 12h6' }],\n ['path', { d: 'M11 16h5' }],\n ],\n];\n\nexport default SquareChartGantt;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-check-big\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-check-big\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareCheckBig: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm9 11 3 3L22 4' }],\n ['path', { d: 'M21 12v7a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h11' }],\n ],\n];\n\nexport default SquareCheckBig;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'm9 12 2 2 4-4' }],\n ],\n];\n\nexport default SquareCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-chevron-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-chevron-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareChevronDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'm16 10-4 4-4-4' }],\n ],\n];\n\nexport default SquareChevronDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-chevron-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-chevron-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareChevronLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'm14 16-4-4 4-4' }],\n ],\n];\n\nexport default SquareChevronLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-chevron-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-chevron-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareChevronRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'm10 8 4 4-4 4' }],\n ],\n];\n\nexport default SquareChevronRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-chevron-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-chevron-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareChevronUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'm8 14 4-4 4 4' }],\n ],\n];\n\nexport default SquareChevronUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-code\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-code\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareCode: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 9.5 8 12l2 2.5' }],\n ['path', { d: 'm14 9.5 2 2.5-2 2.5' }],\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ],\n];\n\nexport default SquareCode;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-dashed-bottom-code\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-dashed-bottom-code\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareDashedBottomCode: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 9.5 8 12l2 2.5' }],\n ['path', { d: 'M14 21h1' }],\n ['path', { d: 'm14 9.5 2 2.5-2 2.5' }],\n ['path', { d: 'M5 21a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2' }],\n ['path', { d: 'M9 21h1' }],\n ],\n];\n\nexport default SquareDashedBottomCode;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-dashed-bottom\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-dashed-bottom\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareDashedBottom: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5 21a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2' }],\n ['path', { d: 'M9 21h1' }],\n ['path', { d: 'M14 21h1' }],\n ],\n];\n\nexport default SquareDashedBottom;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-dashed-kanban\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-dashed-kanban\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareDashedKanban: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 7v7' }],\n ['path', { d: 'M12 7v4' }],\n ['path', { d: 'M16 7v9' }],\n ['path', { d: 'M5 3a2 2 0 0 0-2 2' }],\n ['path', { d: 'M9 3h1' }],\n ['path', { d: 'M14 3h1' }],\n ['path', { d: 'M19 3a2 2 0 0 1 2 2' }],\n ['path', { d: 'M21 9v1' }],\n ['path', { d: 'M21 14v1' }],\n ['path', { d: 'M21 19a2 2 0 0 1-2 2' }],\n ['path', { d: 'M14 21h1' }],\n ['path', { d: 'M9 21h1' }],\n ['path', { d: 'M5 21a2 2 0 0 1-2-2' }],\n ['path', { d: 'M3 14v1' }],\n ['path', { d: 'M3 9v1' }],\n ],\n];\n\nexport default SquareDashedKanban;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-dashed-mouse-pointer\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-dashed-mouse-pointer\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareDashedMousePointer: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5 3a2 2 0 0 0-2 2' }],\n ['path', { d: 'M19 3a2 2 0 0 1 2 2' }],\n ['path', { d: 'm12 12 4 10 1.7-4.3L22 16Z' }],\n ['path', { d: 'M5 21a2 2 0 0 1-2-2' }],\n ['path', { d: 'M9 3h1' }],\n ['path', { d: 'M9 21h2' }],\n ['path', { d: 'M14 3h1' }],\n ['path', { d: 'M3 9v1' }],\n ['path', { d: 'M21 9v2' }],\n ['path', { d: 'M3 14v1' }],\n ],\n];\n\nexport default SquareDashedMousePointer;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-divide\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-divide\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareDivide: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2', ry: '2' }],\n ['line', { x1: '8', x2: '16', y1: '12', y2: '12' }],\n ['line', { x1: '12', x2: '12', y1: '16', y2: '16' }],\n ['line', { x1: '12', x2: '12', y1: '8', y2: '8' }],\n ],\n];\n\nexport default SquareDivide;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-dot\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-dot\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareDot: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['circle', { cx: '12', cy: '12', r: '1' }],\n ],\n];\n\nexport default SquareDot;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-equal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-equal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareEqual: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M7 10h10' }],\n ['path', { d: 'M7 14h10' }],\n ],\n];\n\nexport default SquareEqual;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-function\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-function\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareFunction: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2', ry: '2' }],\n ['path', { d: 'M9 17c2 0 2.8-1 2.8-2.8V10c0-2 1-3.3 3.2-3' }],\n ['path', { d: 'M9 11.2h5.7' }],\n ],\n];\n\nexport default SquareFunction;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-kanban\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-kanban\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareKanban: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M8 7v7' }],\n ['path', { d: 'M12 7v4' }],\n ['path', { d: 'M16 7v9' }],\n ],\n];\n\nexport default SquareKanban;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-library\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-library\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareLibrary: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M7 7v10' }],\n ['path', { d: 'M11 7v10' }],\n ['path', { d: 'm15 7 2 10' }],\n ],\n];\n\nexport default SquareLibrary;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-m\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-m\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareM: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M8 16V8l4 4 4-4v8' }],\n ],\n];\n\nexport default SquareM;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-menu\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-menu\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareMenu: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M7 8h10' }],\n ['path', { d: 'M7 12h10' }],\n ['path', { d: 'M7 16h10' }],\n ],\n];\n\nexport default SquareMenu;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M8 12h8' }],\n ],\n];\n\nexport default SquareMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-mouse-pointer\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-mouse-pointer\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareMousePointer: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 11V5a2 2 0 0 0-2-2H5a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h6' }],\n ['path', { d: 'm12 12 4 10 1.7-4.3L22 16Z' }],\n ],\n];\n\nexport default SquareMousePointer;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-parking-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-parking-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareParkingOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3.6 3.6A2 2 0 0 1 5 3h14a2 2 0 0 1 2 2v14a2 2 0 0 1-.59 1.41' }],\n ['path', { d: 'M3 8.7V19a2 2 0 0 0 2 2h10.3' }],\n ['path', { d: 'm2 2 20 20' }],\n ['path', { d: 'M13 13a3 3 0 1 0 0-6H9v2' }],\n ['path', { d: 'M9 17v-2.3' }],\n ],\n];\n\nexport default SquareParkingOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-parking\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-parking\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareParking: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M9 17V7h4a3 3 0 0 1 0 6H9' }],\n ],\n];\n\nexport default SquareParking;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-pen\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-pen\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquarePen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 3H5a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2v-7' }],\n [\n 'path',\n {\n d: 'M18.375 2.625a1 1 0 0 1 3 3l-9.013 9.014a2 2 0 0 1-.853.505l-2.873.84a.5.5 0 0 1-.62-.62l.84-2.873a2 2 0 0 1 .506-.852z',\n },\n ],\n ],\n];\n\nexport default SquarePen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-percent\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-percent\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquarePercent: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'm15 9-6 6' }],\n ['path', { d: 'M9 9h.01' }],\n ['path', { d: 'M15 15h.01' }],\n ],\n];\n\nexport default SquarePercent;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-pi\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-pi\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquarePi: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M7 7h10' }],\n ['path', { d: 'M10 7v10' }],\n ['path', { d: 'M16 17a2 2 0 0 1-2-2V7' }],\n ],\n];\n\nexport default SquarePi;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-pilcrow\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-pilcrow\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquarePilcrow: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M12 12H9.5a2.5 2.5 0 0 1 0-5H17' }],\n ['path', { d: 'M12 7v10' }],\n ['path', { d: 'M16 7v10' }],\n ],\n];\n\nexport default SquarePilcrow;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-play\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-play\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquarePlay: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'm9 8 6 4-6 4Z' }],\n ],\n];\n\nexport default SquarePlay;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquarePlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M8 12h8' }],\n ['path', { d: 'M12 8v8' }],\n ],\n];\n\nexport default SquarePlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-power\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-power\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquarePower: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 7v4' }],\n ['path', { d: 'M7.998 9.003a5 5 0 1 0 8-.005' }],\n ['rect', { x: '3', y: '3', width: '18', height: '18', rx: '2' }],\n ],\n];\n\nexport default SquarePower;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-radical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-radical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareRadical: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7 12h2l2 5 2-10h4' }],\n ['rect', { x: '3', y: '3', width: '18', height: '18', rx: '2' }],\n ],\n];\n\nexport default SquareRadical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-scissors\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-scissors\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareScissors: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '20', x: '2', y: '2', rx: '2' }],\n ['circle', { cx: '8', cy: '8', r: '2' }],\n ['path', { d: 'M9.414 9.414 12 12' }],\n ['path', { d: 'M14.8 14.8 18 18' }],\n ['circle', { cx: '8', cy: '16', r: '2' }],\n ['path', { d: 'm18 6-8.586 8.586' }],\n ],\n];\n\nexport default SquareScissors;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-sigma\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-sigma\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareSigma: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M16 8.9V7H8l4 5-4 5h8v-1.9' }],\n ],\n];\n\nexport default SquareSigma;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-slash\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-slash\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareSlash: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['line', { x1: '9', x2: '15', y1: '15', y2: '9' }],\n ],\n];\n\nexport default SquareSlash;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-split-horizontal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-split-horizontal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareSplitHorizontal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 19H5c-1 0-2-1-2-2V7c0-1 1-2 2-2h3' }],\n ['path', { d: 'M16 5h3c1 0 2 1 2 2v10c0 1-1 2-2 2h-3' }],\n ['line', { x1: '12', x2: '12', y1: '4', y2: '20' }],\n ],\n];\n\nexport default SquareSplitHorizontal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-split-vertical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-split-vertical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareSplitVertical: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5 8V5c0-1 1-2 2-2h10c1 0 2 1 2 2v3' }],\n ['path', { d: 'M19 16v3c0 1-1 2-2 2H7c-1 0-2-1-2-2v-3' }],\n ['line', { x1: '4', x2: '20', y1: '12', y2: '12' }],\n ],\n];\n\nexport default SquareSplitVertical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-square\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-square\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareSquare: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { x: '3', y: '3', width: '18', height: '18', rx: '2' }],\n ['rect', { x: '8', y: '8', width: '8', height: '8', rx: '1' }],\n ],\n];\n\nexport default SquareSquare;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-stack\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-stack\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareStack: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 10c-1.1 0-2-.9-2-2V4c0-1.1.9-2 2-2h4c1.1 0 2 .9 2 2' }],\n ['path', { d: 'M10 16c-1.1 0-2-.9-2-2v-4c0-1.1.9-2 2-2h4c1.1 0 2 .9 2 2' }],\n ['rect', { width: '8', height: '8', x: '14', y: '14', rx: '2' }],\n ],\n];\n\nexport default SquareStack;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-terminal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-terminal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareTerminal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm7 11 2-2-2-2' }],\n ['path', { d: 'M11 13h4' }],\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2', ry: '2' }],\n ],\n];\n\nexport default SquareTerminal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-user-round\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-user-round\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareUserRound: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18 21a6 6 0 0 0-12 0' }],\n ['circle', { cx: '12', cy: '11', r: '4' }],\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ],\n];\n\nexport default SquareUserRound;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-user\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-user\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareUser: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['circle', { cx: '12', cy: '10', r: '3' }],\n ['path', { d: 'M7 21v-2a2 2 0 0 1 2-2h6a2 2 0 0 1 2 2v2' }],\n ],\n];\n\nexport default SquareUser;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SquareX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2', ry: '2' }],\n ['path', { d: 'm15 9-6 6' }],\n ['path', { d: 'm9 9 6 6' }],\n ],\n];\n\nexport default SquareX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name square\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/square\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Square: IconNode = [\n 'svg',\n defaultAttributes,\n [['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }]],\n];\n\nexport default Square;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name squircle\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/squircle\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Squircle: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M12 3c7.2 0 9 1.8 9 9s-1.8 9-9 9-9-1.8-9-9 1.8-9 9-9' }]],\n];\n\nexport default Squircle;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name squirrel\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/squirrel\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Squirrel: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15.236 22a3 3 0 0 0-2.2-5' }],\n ['path', { d: 'M16 20a3 3 0 0 1 3-3h1a2 2 0 0 0 2-2v-2a4 4 0 0 0-4-4V4' }],\n ['path', { d: 'M18 13h.01' }],\n [\n 'path',\n {\n d: 'M18 6a4 4 0 0 0-4 4 7 7 0 0 0-7 7c0-5 4-5 4-10.5a4.5 4.5 0 1 0-9 0 2.5 2.5 0 0 0 5 0C7 10 3 11 3 17c0 2.8 2.2 5 5 5h10',\n },\n ],\n ],\n];\n\nexport default Squirrel;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name stamp\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/stamp\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Stamp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5 22h14' }],\n [\n 'path',\n {\n d: 'M19.27 13.73A2.5 2.5 0 0 0 17.5 13h-11A2.5 2.5 0 0 0 4 15.5V17a1 1 0 0 0 1 1h14a1 1 0 0 0 1-1v-1.5c0-.66-.26-1.3-.73-1.77Z',\n },\n ],\n ['path', { d: 'M14 13V8.5C14 7 15 7 15 5a3 3 0 0 0-3-3c-1.66 0-3 1-3 3s1 2 1 3.5V13' }],\n ],\n];\n\nexport default Stamp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name star-half\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/star-half\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst StarHalf: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M12 17.8 5.8 21 7 14.1 2 9.3l7-1L12 2' }]],\n];\n\nexport default StarHalf;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name star-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/star-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst StarOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8.34 8.34 2 9.27l5 4.87L5.82 21 12 17.77 18.18 21l-.59-3.43' }],\n ['path', { d: 'M18.42 12.76 22 9.27l-6.91-1L12 2l-1.44 2.91' }],\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ],\n];\n\nexport default StarOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name star\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/star\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Star: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'polygon',\n {\n points:\n '12 2 15.09 8.26 22 9.27 17 14.14 18.18 21.02 12 17.77 5.82 21.02 7 14.14 2 9.27 8.91 8.26 12 2',\n },\n ],\n ],\n];\n\nexport default Star;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name step-back\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/step-back\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst StepBack: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '18', x2: '18', y1: '20', y2: '4' }],\n ['polygon', { points: '14,20 4,12 14,4' }],\n ],\n];\n\nexport default StepBack;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name step-forward\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/step-forward\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst StepForward: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '6', x2: '6', y1: '4', y2: '20' }],\n ['polygon', { points: '10,4 20,12 10,20' }],\n ],\n];\n\nexport default StepForward;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name stethoscope\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/stethoscope\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Stethoscope: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M4.8 2.3A.3.3 0 1 0 5 2H4a2 2 0 0 0-2 2v5a6 6 0 0 0 6 6a6 6 0 0 0 6-6V4a2 2 0 0 0-2-2h-1a.2.2 0 1 0 .3.3',\n },\n ],\n ['path', { d: 'M8 15v1a6 6 0 0 0 6 6a6 6 0 0 0 6-6v-4' }],\n ['circle', { cx: '20', cy: '10', r: '2' }],\n ],\n];\n\nexport default Stethoscope;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name sticker\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/sticker\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Sticker: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15.5 3H5a2 2 0 0 0-2 2v14c0 1.1.9 2 2 2h14a2 2 0 0 0 2-2V8.5L15.5 3Z' }],\n ['path', { d: 'M14 3v4a2 2 0 0 0 2 2h4' }],\n ['path', { d: 'M8 13h.01' }],\n ['path', { d: 'M16 13h.01' }],\n ['path', { d: 'M10 16s.8 1 2 1c1.3 0 2-1 2-1' }],\n ],\n];\n\nexport default Sticker;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name sticky-note\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/sticky-note\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst StickyNote: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 3H5a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2V8Z' }],\n ['path', { d: 'M15 3v4a2 2 0 0 0 2 2h4' }],\n ],\n];\n\nexport default StickyNote;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name store\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/store\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Store: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm2 7 4.41-4.41A2 2 0 0 1 7.83 2h8.34a2 2 0 0 1 1.42.59L22 7' }],\n ['path', { d: 'M4 12v8a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2v-8' }],\n ['path', { d: 'M15 22v-4a2 2 0 0 0-2-2h-2a2 2 0 0 0-2 2v4' }],\n ['path', { d: 'M2 7h20' }],\n [\n 'path',\n {\n d: 'M22 7v3a2 2 0 0 1-2 2a2.7 2.7 0 0 1-1.59-.63.7.7 0 0 0-.82 0A2.7 2.7 0 0 1 16 12a2.7 2.7 0 0 1-1.59-.63.7.7 0 0 0-.82 0A2.7 2.7 0 0 1 12 12a2.7 2.7 0 0 1-1.59-.63.7.7 0 0 0-.82 0A2.7 2.7 0 0 1 8 12a2.7 2.7 0 0 1-1.59-.63.7.7 0 0 0-.82 0A2.7 2.7 0 0 1 4 12a2 2 0 0 1-2-2V7',\n },\n ],\n ],\n];\n\nexport default Store;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name stretch-horizontal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/stretch-horizontal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst StretchHorizontal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '6', x: '2', y: '4', rx: '2' }],\n ['rect', { width: '20', height: '6', x: '2', y: '14', rx: '2' }],\n ],\n];\n\nexport default StretchHorizontal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name stretch-vertical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/stretch-vertical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst StretchVertical: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '6', height: '20', x: '4', y: '2', rx: '2' }],\n ['rect', { width: '6', height: '20', x: '14', y: '2', rx: '2' }],\n ],\n];\n\nexport default StretchVertical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name strikethrough\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/strikethrough\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Strikethrough: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 4H9a3 3 0 0 0-2.83 4' }],\n ['path', { d: 'M14 12a4 4 0 0 1 0 8H6' }],\n ['line', { x1: '4', x2: '20', y1: '12', y2: '12' }],\n ],\n];\n\nexport default Strikethrough;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name subscript\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/subscript\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Subscript: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm4 5 8 8' }],\n ['path', { d: 'm12 5-8 8' }],\n [\n 'path',\n {\n d: 'M20 19h-4c0-1.5.44-2 1.5-2.5S20 15.33 20 14c0-.47-.17-.93-.48-1.29a2.11 2.11 0 0 0-2.62-.44c-.42.24-.74.62-.9 1.07',\n },\n ],\n ],\n];\n\nexport default Subscript;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name sun-dim\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/sun-dim\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SunDim: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '4' }],\n ['path', { d: 'M12 4h.01' }],\n ['path', { d: 'M20 12h.01' }],\n ['path', { d: 'M12 20h.01' }],\n ['path', { d: 'M4 12h.01' }],\n ['path', { d: 'M17.657 6.343h.01' }],\n ['path', { d: 'M17.657 17.657h.01' }],\n ['path', { d: 'M6.343 17.657h.01' }],\n ['path', { d: 'M6.343 6.343h.01' }],\n ],\n];\n\nexport default SunDim;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name sun-medium\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/sun-medium\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SunMedium: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '4' }],\n ['path', { d: 'M12 3v1' }],\n ['path', { d: 'M12 20v1' }],\n ['path', { d: 'M3 12h1' }],\n ['path', { d: 'M20 12h1' }],\n ['path', { d: 'm18.364 5.636-.707.707' }],\n ['path', { d: 'm6.343 17.657-.707.707' }],\n ['path', { d: 'm5.636 5.636.707.707' }],\n ['path', { d: 'm17.657 17.657.707.707' }],\n ],\n];\n\nexport default SunMedium;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name sun-moon\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/sun-moon\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SunMoon: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 8a2.83 2.83 0 0 0 4 4 4 4 0 1 1-4-4' }],\n ['path', { d: 'M12 2v2' }],\n ['path', { d: 'M12 20v2' }],\n ['path', { d: 'm4.9 4.9 1.4 1.4' }],\n ['path', { d: 'm17.7 17.7 1.4 1.4' }],\n ['path', { d: 'M2 12h2' }],\n ['path', { d: 'M20 12h2' }],\n ['path', { d: 'm6.3 17.7-1.4 1.4' }],\n ['path', { d: 'm19.1 4.9-1.4 1.4' }],\n ],\n];\n\nexport default SunMoon;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name sun-snow\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/sun-snow\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SunSnow: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 9a3 3 0 1 0 0 6' }],\n ['path', { d: 'M2 12h1' }],\n ['path', { d: 'M14 21V3' }],\n ['path', { d: 'M10 4V3' }],\n ['path', { d: 'M10 21v-1' }],\n ['path', { d: 'm3.64 18.36.7-.7' }],\n ['path', { d: 'm4.34 6.34-.7-.7' }],\n ['path', { d: 'M14 12h8' }],\n ['path', { d: 'm17 4-3 3' }],\n ['path', { d: 'm14 17 3 3' }],\n ['path', { d: 'm21 15-3-3 3-3' }],\n ],\n];\n\nexport default SunSnow;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name sun\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/sun\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Sun: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '4' }],\n ['path', { d: 'M12 2v2' }],\n ['path', { d: 'M12 20v2' }],\n ['path', { d: 'm4.93 4.93 1.41 1.41' }],\n ['path', { d: 'm17.66 17.66 1.41 1.41' }],\n ['path', { d: 'M2 12h2' }],\n ['path', { d: 'M20 12h2' }],\n ['path', { d: 'm6.34 17.66-1.41 1.41' }],\n ['path', { d: 'm19.07 4.93-1.41 1.41' }],\n ],\n];\n\nexport default Sun;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name sunrise\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/sunrise\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Sunrise: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 2v8' }],\n ['path', { d: 'm4.93 10.93 1.41 1.41' }],\n ['path', { d: 'M2 18h2' }],\n ['path', { d: 'M20 18h2' }],\n ['path', { d: 'm19.07 10.93-1.41 1.41' }],\n ['path', { d: 'M22 22H2' }],\n ['path', { d: 'm8 6 4-4 4 4' }],\n ['path', { d: 'M16 18a4 4 0 0 0-8 0' }],\n ],\n];\n\nexport default Sunrise;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name sunset\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/sunset\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Sunset: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 10V2' }],\n ['path', { d: 'm4.93 10.93 1.41 1.41' }],\n ['path', { d: 'M2 18h2' }],\n ['path', { d: 'M20 18h2' }],\n ['path', { d: 'm19.07 10.93-1.41 1.41' }],\n ['path', { d: 'M22 22H2' }],\n ['path', { d: 'm16 6-4 4-4-4' }],\n ['path', { d: 'M16 18a4 4 0 0 0-8 0' }],\n ],\n];\n\nexport default Sunset;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name superscript\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/superscript\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Superscript: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm4 19 8-8' }],\n ['path', { d: 'm12 19-8-8' }],\n [\n 'path',\n {\n d: 'M20 12h-4c0-1.5.442-2 1.5-2.5S20 8.334 20 7.002c0-.472-.17-.93-.484-1.29a2.105 2.105 0 0 0-2.617-.436c-.42.239-.738.614-.899 1.06',\n },\n ],\n ],\n];\n\nexport default Superscript;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name swatch-book\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/swatch-book\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SwatchBook: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11 17a4 4 0 0 1-8 0V5a2 2 0 0 1 2-2h4a2 2 0 0 1 2 2Z' }],\n ['path', { d: 'M16.7 13H19a2 2 0 0 1 2 2v4a2 2 0 0 1-2 2H7' }],\n ['path', { d: 'M 7 17h.01' }],\n [\n 'path',\n { d: 'm11 8 2.3-2.3a2.4 2.4 0 0 1 3.404.004L18.6 7.6a2.4 2.4 0 0 1 .026 3.434L9.9 19.8' },\n ],\n ],\n];\n\nexport default SwatchBook;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name swiss-franc\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/swiss-franc\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SwissFranc: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 21V3h8' }],\n ['path', { d: 'M6 16h9' }],\n ['path', { d: 'M10 9.5h7' }],\n ],\n];\n\nexport default SwissFranc;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name switch-camera\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/switch-camera\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst SwitchCamera: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11 19H4a2 2 0 0 1-2-2V7a2 2 0 0 1 2-2h5' }],\n ['path', { d: 'M13 5h7a2 2 0 0 1 2 2v10a2 2 0 0 1-2 2h-5' }],\n ['circle', { cx: '12', cy: '12', r: '3' }],\n ['path', { d: 'm18 22-3-3 3-3' }],\n ['path', { d: 'm6 2 3 3-3 3' }],\n ],\n];\n\nexport default SwitchCamera;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name sword\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/sword\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Sword: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '14.5 17.5 3 6 3 3 6 3 17.5 14.5' }],\n ['line', { x1: '13', x2: '19', y1: '19', y2: '13' }],\n ['line', { x1: '16', x2: '20', y1: '16', y2: '20' }],\n ['line', { x1: '19', x2: '21', y1: '21', y2: '19' }],\n ],\n];\n\nexport default Sword;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name swords\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/swords\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Swords: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '14.5 17.5 3 6 3 3 6 3 17.5 14.5' }],\n ['line', { x1: '13', x2: '19', y1: '19', y2: '13' }],\n ['line', { x1: '16', x2: '20', y1: '16', y2: '20' }],\n ['line', { x1: '19', x2: '21', y1: '21', y2: '19' }],\n ['polyline', { points: '14.5 6.5 18 3 21 3 21 6 17.5 9.5' }],\n ['line', { x1: '5', x2: '9', y1: '14', y2: '18' }],\n ['line', { x1: '7', x2: '4', y1: '17', y2: '20' }],\n ['line', { x1: '3', x2: '5', y1: '19', y2: '21' }],\n ],\n];\n\nexport default Swords;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name syringe\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/syringe\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Syringe: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm18 2 4 4' }],\n ['path', { d: 'm17 7 3-3' }],\n ['path', { d: 'M19 9 8.7 19.3c-1 1-2.5 1-3.4 0l-.6-.6c-1-1-1-2.5 0-3.4L15 5' }],\n ['path', { d: 'm9 11 4 4' }],\n ['path', { d: 'm5 19-3 3' }],\n ['path', { d: 'm14 4 6 6' }],\n ],\n];\n\nexport default Syringe;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name table-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/table-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Table2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M9 3H5a2 2 0 0 0-2 2v4m6-6h10a2 2 0 0 1 2 2v4M9 3v18m0 0h10a2 2 0 0 0 2-2V9M9 21H5a2 2 0 0 1-2-2V9m0 0h18',\n },\n ],\n ],\n];\n\nexport default Table2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name table-cells-merge\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/table-cells-merge\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TableCellsMerge: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 21v-6' }],\n ['path', { d: 'M12 9V3' }],\n ['path', { d: 'M3 15h18' }],\n ['path', { d: 'M3 9h18' }],\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ],\n];\n\nexport default TableCellsMerge;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name table-cells-split\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/table-cells-split\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TableCellsSplit: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 15V9' }],\n ['path', { d: 'M3 15h18' }],\n ['path', { d: 'M3 9h18' }],\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ],\n];\n\nexport default TableCellsSplit;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name table-columns-split\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/table-columns-split\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TableColumnsSplit: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M14 14v2' }],\n ['path', { d: 'M14 20v2' }],\n ['path', { d: 'M14 2v2' }],\n ['path', { d: 'M14 8v2' }],\n ['path', { d: 'M2 15h8' }],\n ['path', { d: 'M2 3h6a2 2 0 0 1 2 2v14a2 2 0 0 1-2 2H2' }],\n ['path', { d: 'M2 9h8' }],\n ['path', { d: 'M22 15h-4' }],\n ['path', { d: 'M22 3h-2a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h2' }],\n ['path', { d: 'M22 9h-4' }],\n ['path', { d: 'M5 3v18' }],\n ],\n];\n\nexport default TableColumnsSplit;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name table-properties\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/table-properties\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TableProperties: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 3v18' }],\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M21 9H3' }],\n ['path', { d: 'M21 15H3' }],\n ],\n];\n\nexport default TableProperties;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name table-rows-split\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/table-rows-split\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TableRowsSplit: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M14 10h2' }],\n ['path', { d: 'M15 22v-8' }],\n ['path', { d: 'M15 2v4' }],\n ['path', { d: 'M2 10h2' }],\n ['path', { d: 'M20 10h2' }],\n ['path', { d: 'M3 19h18' }],\n ['path', { d: 'M3 22v-6a2 2 135 0 1 2-2h14a2 2 45 0 1 2 2v6' }],\n ['path', { d: 'M3 2v2a2 2 45 0 0 2 2h14a2 2 135 0 0 2-2V2' }],\n ['path', { d: 'M8 10h2' }],\n ['path', { d: 'M9 22v-8' }],\n ['path', { d: 'M9 2v4' }],\n ],\n];\n\nexport default TableRowsSplit;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name table\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/table\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Table: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 3v18' }],\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M3 9h18' }],\n ['path', { d: 'M3 15h18' }],\n ],\n];\n\nexport default Table;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tablet-smartphone\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tablet-smartphone\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TabletSmartphone: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '10', height: '14', x: '3', y: '8', rx: '2' }],\n ['path', { d: 'M5 4a2 2 0 0 1 2-2h12a2 2 0 0 1 2 2v16a2 2 0 0 1-2 2h-2.4' }],\n ['path', { d: 'M8 18h.01' }],\n ],\n];\n\nexport default TabletSmartphone;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tablet\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tablet\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Tablet: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '16', height: '20', x: '4', y: '2', rx: '2', ry: '2' }],\n ['line', { x1: '12', x2: '12.01', y1: '18', y2: '18' }],\n ],\n];\n\nexport default Tablet;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tablets\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tablets\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Tablets: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '7', cy: '7', r: '5' }],\n ['circle', { cx: '17', cy: '17', r: '5' }],\n ['path', { d: 'M12 17h10' }],\n ['path', { d: 'm3.46 10.54 7.08-7.08' }],\n ],\n];\n\nexport default Tablets;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tag\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tag\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Tag: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M12.586 2.586A2 2 0 0 0 11.172 2H4a2 2 0 0 0-2 2v7.172a2 2 0 0 0 .586 1.414l8.704 8.704a2.426 2.426 0 0 0 3.42 0l6.58-6.58a2.426 2.426 0 0 0 0-3.42z',\n },\n ],\n ['circle', { cx: '7.5', cy: '7.5', r: '.5', fill: 'currentColor' }],\n ],\n];\n\nexport default Tag;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tags\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tags\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Tags: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm15 5 6.3 6.3a2.4 2.4 0 0 1 0 3.4L17 19' }],\n [\n 'path',\n {\n d: 'M9.586 5.586A2 2 0 0 0 8.172 5H3a1 1 0 0 0-1 1v5.172a2 2 0 0 0 .586 1.414L8.29 18.29a2.426 2.426 0 0 0 3.42 0l3.58-3.58a2.426 2.426 0 0 0 0-3.42z',\n },\n ],\n ['circle', { cx: '6.5', cy: '9.5', r: '.5', fill: 'currentColor' }],\n ],\n];\n\nexport default Tags;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tally-1\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tally-1\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Tally1: IconNode = ['svg', defaultAttributes, [['path', { d: 'M4 4v16' }]]];\n\nexport default Tally1;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tally-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tally-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Tally2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 4v16' }],\n ['path', { d: 'M9 4v16' }],\n ],\n];\n\nexport default Tally2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tally-3\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tally-3\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Tally3: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 4v16' }],\n ['path', { d: 'M9 4v16' }],\n ['path', { d: 'M14 4v16' }],\n ],\n];\n\nexport default Tally3;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tally-4\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tally-4\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Tally4: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 4v16' }],\n ['path', { d: 'M9 4v16' }],\n ['path', { d: 'M14 4v16' }],\n ['path', { d: 'M19 4v16' }],\n ],\n];\n\nexport default Tally4;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tally-5\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tally-5\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Tally5: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 4v16' }],\n ['path', { d: 'M9 4v16' }],\n ['path', { d: 'M14 4v16' }],\n ['path', { d: 'M19 4v16' }],\n ['path', { d: 'M22 6 2 18' }],\n ],\n];\n\nexport default Tally5;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tangent\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tangent\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Tangent: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '17', cy: '4', r: '2' }],\n ['path', { d: 'M15.59 5.41 5.41 15.59' }],\n ['circle', { cx: '4', cy: '17', r: '2' }],\n ['path', { d: 'M12 22s-4-9-1.5-11.5S22 12 22 12' }],\n ],\n];\n\nexport default Tangent;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name target\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/target\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Target: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '10' }],\n ['circle', { cx: '12', cy: '12', r: '6' }],\n ['circle', { cx: '12', cy: '12', r: '2' }],\n ],\n];\n\nexport default Target;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name telescope\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/telescope\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Telescope: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm10.065 12.493-6.18 1.318a.934.934 0 0 1-1.108-.702l-.537-2.15a1.07 1.07 0 0 1 .691-1.265l13.504-4.44',\n },\n ],\n ['path', { d: 'm13.56 11.747 4.332-.924' }],\n ['path', { d: 'm16 21-3.105-6.21' }],\n [\n 'path',\n {\n d: 'M16.485 5.94a2 2 0 0 1 1.455-2.425l1.09-.272a1 1 0 0 1 1.212.727l1.515 6.06a1 1 0 0 1-.727 1.213l-1.09.272a2 2 0 0 1-2.425-1.455z',\n },\n ],\n ['path', { d: 'm6.158 8.633 1.114 4.456' }],\n ['path', { d: 'm8 21 3.105-6.21' }],\n ['circle', { cx: '12', cy: '13', r: '2' }],\n ],\n];\n\nexport default Telescope;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tent-tree\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tent-tree\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TentTree: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '4', cy: '4', r: '2' }],\n ['path', { d: 'm14 5 3-3 3 3' }],\n ['path', { d: 'm14 10 3-3 3 3' }],\n ['path', { d: 'M17 14V2' }],\n ['path', { d: 'M17 14H7l-5 8h20Z' }],\n ['path', { d: 'M8 14v8' }],\n ['path', { d: 'm9 14 5 8' }],\n ],\n];\n\nexport default TentTree;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tent\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tent\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Tent: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3.5 21 14 3' }],\n ['path', { d: 'M20.5 21 10 3' }],\n ['path', { d: 'M15.5 21 12 15l-3.5 6' }],\n ['path', { d: 'M2 21h20' }],\n ],\n];\n\nexport default Tent;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name terminal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/terminal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Terminal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '4 17 10 11 4 5' }],\n ['line', { x1: '12', x2: '20', y1: '19', y2: '19' }],\n ],\n];\n\nexport default Terminal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name test-tube-diagonal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/test-tube-diagonal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TestTubeDiagonal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 7 6.82 21.18a2.83 2.83 0 0 1-3.99-.01a2.83 2.83 0 0 1 0-4L17 3' }],\n ['path', { d: 'm16 2 6 6' }],\n ['path', { d: 'M12 16H4' }],\n ],\n];\n\nexport default TestTubeDiagonal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name test-tube\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/test-tube\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TestTube: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M14.5 2v17.5c0 1.4-1.1 2.5-2.5 2.5c-1.4 0-2.5-1.1-2.5-2.5V2' }],\n ['path', { d: 'M8.5 2h7' }],\n ['path', { d: 'M14.5 16h-5' }],\n ],\n];\n\nexport default TestTube;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name test-tubes\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/test-tubes\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TestTubes: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M9 2v17.5A2.5 2.5 0 0 1 6.5 22A2.5 2.5 0 0 1 4 19.5V2' }],\n ['path', { d: 'M20 2v17.5a2.5 2.5 0 0 1-2.5 2.5a2.5 2.5 0 0 1-2.5-2.5V2' }],\n ['path', { d: 'M3 2h7' }],\n ['path', { d: 'M14 2h7' }],\n ['path', { d: 'M9 16H4' }],\n ['path', { d: 'M20 16h-5' }],\n ],\n];\n\nexport default TestTubes;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name text-cursor-input\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/text-cursor-input\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TextCursorInput: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5 4h1a3 3 0 0 1 3 3 3 3 0 0 1 3-3h1' }],\n ['path', { d: 'M13 20h-1a3 3 0 0 1-3-3 3 3 0 0 1-3 3H5' }],\n ['path', { d: 'M5 16H4a2 2 0 0 1-2-2v-4a2 2 0 0 1 2-2h1' }],\n ['path', { d: 'M13 8h7a2 2 0 0 1 2 2v4a2 2 0 0 1-2 2h-7' }],\n ['path', { d: 'M9 7v10' }],\n ],\n];\n\nexport default TextCursorInput;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name text-cursor\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/text-cursor\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TextCursor: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M17 22h-1a4 4 0 0 1-4-4V6a4 4 0 0 1 4-4h1' }],\n ['path', { d: 'M7 22h1a4 4 0 0 0 4-4v-1' }],\n ['path', { d: 'M7 2h1a4 4 0 0 1 4 4v1' }],\n ],\n];\n\nexport default TextCursor;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name text-quote\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/text-quote\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TextQuote: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M17 6H3' }],\n ['path', { d: 'M21 12H8' }],\n ['path', { d: 'M21 18H8' }],\n ['path', { d: 'M3 12v6' }],\n ],\n];\n\nexport default TextQuote;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name text-search\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/text-search\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TextSearch: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 6H3' }],\n ['path', { d: 'M10 12H3' }],\n ['path', { d: 'M10 18H3' }],\n ['circle', { cx: '17', cy: '15', r: '3' }],\n ['path', { d: 'm21 19-1.9-1.9' }],\n ],\n];\n\nexport default TextSearch;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name text-select\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/text-select\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TextSelect: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M5 3a2 2 0 0 0-2 2' }],\n ['path', { d: 'M19 3a2 2 0 0 1 2 2' }],\n ['path', { d: 'M21 19a2 2 0 0 1-2 2' }],\n ['path', { d: 'M5 21a2 2 0 0 1-2-2' }],\n ['path', { d: 'M9 3h1' }],\n ['path', { d: 'M9 21h1' }],\n ['path', { d: 'M14 3h1' }],\n ['path', { d: 'M14 21h1' }],\n ['path', { d: 'M3 9v1' }],\n ['path', { d: 'M21 9v1' }],\n ['path', { d: 'M3 14v1' }],\n ['path', { d: 'M21 14v1' }],\n ['line', { x1: '7', x2: '15', y1: '8', y2: '8' }],\n ['line', { x1: '7', x2: '17', y1: '12', y2: '12' }],\n ['line', { x1: '7', x2: '13', y1: '16', y2: '16' }],\n ],\n];\n\nexport default TextSelect;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name text\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/text\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Text: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M17 6.1H3' }],\n ['path', { d: 'M21 12.1H3' }],\n ['path', { d: 'M15.1 18H3' }],\n ],\n];\n\nexport default Text;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name theater\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/theater\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Theater: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 10s3-3 3-8' }],\n ['path', { d: 'M22 10s-3-3-3-8' }],\n ['path', { d: 'M10 2c0 4.4-3.6 8-8 8' }],\n ['path', { d: 'M14 2c0 4.4 3.6 8 8 8' }],\n ['path', { d: 'M2 10s2 2 2 5' }],\n ['path', { d: 'M22 10s-2 2-2 5' }],\n ['path', { d: 'M8 15h8' }],\n ['path', { d: 'M2 22v-1a2 2 0 0 1 2-2h4a2 2 0 0 1 2 2v1' }],\n ['path', { d: 'M14 22v-1a2 2 0 0 1 2-2h4a2 2 0 0 1 2 2v1' }],\n ],\n];\n\nexport default Theater;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name thermometer-snowflake\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/thermometer-snowflake\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ThermometerSnowflake: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 12h10' }],\n ['path', { d: 'M9 4v16' }],\n ['path', { d: 'm3 9 3 3-3 3' }],\n ['path', { d: 'M12 6 9 9 6 6' }],\n ['path', { d: 'm6 18 3-3 1.5 1.5' }],\n ['path', { d: 'M20 4v10.54a4 4 0 1 1-4 0V4a2 2 0 0 1 4 0Z' }],\n ],\n];\n\nexport default ThermometerSnowflake;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name thermometer-sun\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/thermometer-sun\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ThermometerSun: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 9a4 4 0 0 0-2 7.5' }],\n ['path', { d: 'M12 3v2' }],\n ['path', { d: 'm6.6 18.4-1.4 1.4' }],\n ['path', { d: 'M20 4v10.54a4 4 0 1 1-4 0V4a2 2 0 0 1 4 0Z' }],\n ['path', { d: 'M4 13H2' }],\n ['path', { d: 'M6.34 7.34 4.93 5.93' }],\n ],\n];\n\nexport default ThermometerSun;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name thermometer\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/thermometer\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Thermometer: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M14 4v10.54a4 4 0 1 1-4 0V4a2 2 0 0 1 4 0Z' }]],\n];\n\nexport default Thermometer;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name thumbs-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/thumbs-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ThumbsDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M17 14V2' }],\n [\n 'path',\n {\n d: 'M9 18.12 10 14H4.17a2 2 0 0 1-1.92-2.56l2.33-8A2 2 0 0 1 6.5 2H20a2 2 0 0 1 2 2v8a2 2 0 0 1-2 2h-2.76a2 2 0 0 0-1.79 1.11L12 22a3.13 3.13 0 0 1-3-3.88Z',\n },\n ],\n ],\n];\n\nexport default ThumbsDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name thumbs-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/thumbs-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ThumbsUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7 10v12' }],\n [\n 'path',\n {\n d: 'M15 5.88 14 10h5.83a2 2 0 0 1 1.92 2.56l-2.33 8A2 2 0 0 1 17.5 22H4a2 2 0 0 1-2-2v-8a2 2 0 0 1 2-2h2.76a2 2 0 0 0 1.79-1.11L12 2a3.13 3.13 0 0 1 3 3.88Z',\n },\n ],\n ],\n];\n\nexport default ThumbsUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ticket-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ticket-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TicketCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2 9a3 3 0 0 1 0 6v2a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2v-2a3 3 0 0 1 0-6V7a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2Z',\n },\n ],\n ['path', { d: 'm9 12 2 2 4-4' }],\n ],\n];\n\nexport default TicketCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ticket-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ticket-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TicketMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2 9a3 3 0 0 1 0 6v2a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2v-2a3 3 0 0 1 0-6V7a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2Z',\n },\n ],\n ['path', { d: 'M9 12h6' }],\n ],\n];\n\nexport default TicketMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ticket-percent\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ticket-percent\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TicketPercent: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2 9a3 3 0 1 1 0 6v2a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2v-2a3 3 0 1 1 0-6V7a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2Z',\n },\n ],\n ['path', { d: 'M9 9h.01' }],\n ['path', { d: 'm15 9-6 6' }],\n ['path', { d: 'M15 15h.01' }],\n ],\n];\n\nexport default TicketPercent;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ticket-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ticket-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TicketPlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2 9a3 3 0 0 1 0 6v2a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2v-2a3 3 0 0 1 0-6V7a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2Z',\n },\n ],\n ['path', { d: 'M9 12h6' }],\n ['path', { d: 'M12 9v6' }],\n ],\n];\n\nexport default TicketPlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ticket-slash\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ticket-slash\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TicketSlash: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2 9a3 3 0 0 1 0 6v2a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2v-2a3 3 0 0 1 0-6V7a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2Z',\n },\n ],\n ['path', { d: 'm9.5 14.5 5-5' }],\n ],\n];\n\nexport default TicketSlash;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ticket-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ticket-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TicketX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2 9a3 3 0 0 1 0 6v2a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2v-2a3 3 0 0 1 0-6V7a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2Z',\n },\n ],\n ['path', { d: 'm9.5 14.5 5-5' }],\n ['path', { d: 'm9.5 9.5 5 5' }],\n ],\n];\n\nexport default TicketX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ticket\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ticket\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Ticket: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2 9a3 3 0 0 1 0 6v2a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2v-2a3 3 0 0 1 0-6V7a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2Z',\n },\n ],\n ['path', { d: 'M13 5v2' }],\n ['path', { d: 'M13 17v2' }],\n ['path', { d: 'M13 11v2' }],\n ],\n];\n\nexport default Ticket;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name timer-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/timer-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TimerOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 2h4' }],\n ['path', { d: 'M4.6 11a8 8 0 0 0 1.7 8.7 8 8 0 0 0 8.7 1.7' }],\n ['path', { d: 'M7.4 7.4a8 8 0 0 1 10.3 1 8 8 0 0 1 .9 10.2' }],\n ['path', { d: 'm2 2 20 20' }],\n ['path', { d: 'M12 12v-2' }],\n ],\n];\n\nexport default TimerOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name timer-reset\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/timer-reset\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TimerReset: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 2h4' }],\n ['path', { d: 'M12 14v-4' }],\n ['path', { d: 'M4 13a8 8 0 0 1 8-7 8 8 0 1 1-5.3 14L4 17.6' }],\n ['path', { d: 'M9 17H4v5' }],\n ],\n];\n\nexport default TimerReset;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name timer\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/timer\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Timer: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '10', x2: '14', y1: '2', y2: '2' }],\n ['line', { x1: '12', x2: '15', y1: '14', y2: '11' }],\n ['circle', { cx: '12', cy: '14', r: '8' }],\n ],\n];\n\nexport default Timer;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name toggle-left\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/toggle-left\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ToggleLeft: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '12', x: '2', y: '6', rx: '6', ry: '6' }],\n ['circle', { cx: '8', cy: '12', r: '2' }],\n ],\n];\n\nexport default ToggleLeft;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name toggle-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/toggle-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ToggleRight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '12', x: '2', y: '6', rx: '6', ry: '6' }],\n ['circle', { cx: '16', cy: '12', r: '2' }],\n ],\n];\n\nexport default ToggleRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tornado\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tornado\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Tornado: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 4H3' }],\n ['path', { d: 'M18 8H6' }],\n ['path', { d: 'M19 12H9' }],\n ['path', { d: 'M16 16h-6' }],\n ['path', { d: 'M11 20H9' }],\n ],\n];\n\nexport default Tornado;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name torus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/torus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Torus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['ellipse', { cx: '12', cy: '11', rx: '3', ry: '2' }],\n ['ellipse', { cx: '12', cy: '12.5', rx: '10', ry: '8.5' }],\n ],\n];\n\nexport default Torus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name touchpad-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/touchpad-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TouchpadOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M4 4a2 2 0 0 0-2 2v12a2 2 0 0 0 2 2h16' }],\n ['path', { d: 'M2 14h12' }],\n ['path', { d: 'M22 14h-2' }],\n ['path', { d: 'M12 20v-6' }],\n ['path', { d: 'm2 2 20 20' }],\n ['path', { d: 'M22 16V6a2 2 0 0 0-2-2H10' }],\n ],\n];\n\nexport default TouchpadOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name touchpad\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/touchpad\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Touchpad: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '16', x: '2', y: '4', rx: '2' }],\n ['path', { d: 'M2 14h20' }],\n ['path', { d: 'M12 20v-6' }],\n ],\n];\n\nexport default Touchpad;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tower-control\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tower-control\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TowerControl: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18.2 12.27 20 6H4l1.8 6.27a1 1 0 0 0 .95.73h10.5a1 1 0 0 0 .96-.73Z' }],\n ['path', { d: 'M8 13v9' }],\n ['path', { d: 'M16 22v-9' }],\n ['path', { d: 'm9 6 1 7' }],\n ['path', { d: 'm15 6-1 7' }],\n ['path', { d: 'M12 6V2' }],\n ['path', { d: 'M13 2h-2' }],\n ],\n];\n\nexport default TowerControl;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name toy-brick\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/toy-brick\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ToyBrick: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '12', x: '3', y: '8', rx: '1' }],\n ['path', { d: 'M10 8V5c0-.6-.4-1-1-1H6a1 1 0 0 0-1 1v3' }],\n ['path', { d: 'M19 8V5c0-.6-.4-1-1-1h-3a1 1 0 0 0-1 1v3' }],\n ],\n];\n\nexport default ToyBrick;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tractor\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tractor\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Tractor: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm10 11 11 .9a1 1 0 0 1 .8 1.1l-.665 4.158a1 1 0 0 1-.988.842H20' }],\n ['path', { d: 'M16 18h-5' }],\n ['path', { d: 'M18 5a1 1 0 0 0-1 1v5.573' }],\n ['path', { d: 'M3 4h8.129a1 1 0 0 1 .99.863L13 11.246' }],\n ['path', { d: 'M4 11V4' }],\n ['path', { d: 'M7 15h.01' }],\n ['path', { d: 'M8 10.1V4' }],\n ['circle', { cx: '18', cy: '18', r: '2' }],\n ['circle', { cx: '7', cy: '15', r: '5' }],\n ],\n];\n\nexport default Tractor;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name traffic-cone\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/traffic-cone\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TrafficCone: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M9.3 6.2a4.55 4.55 0 0 0 5.4 0' }],\n ['path', { d: 'M7.9 10.7c.9.8 2.4 1.3 4.1 1.3s3.2-.5 4.1-1.3' }],\n [\n 'path',\n {\n d: 'M13.9 3.5a1.93 1.93 0 0 0-3.8-.1l-3 10c-.1.2-.1.4-.1.6 0 1.7 2.2 3 5 3s5-1.3 5-3c0-.2 0-.4-.1-.5Z',\n },\n ],\n [\n 'path',\n {\n d: 'm7.5 12.2-4.7 2.7c-.5.3-.8.7-.8 1.1s.3.8.8 1.1l7.6 4.5c.9.5 2.1.5 3 0l7.6-4.5c.7-.3 1-.7 1-1.1s-.3-.8-.8-1.1l-4.7-2.8',\n },\n ],\n ],\n];\n\nexport default TrafficCone;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name train-front-tunnel\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/train-front-tunnel\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TrainFrontTunnel: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 22V12a10 10 0 1 1 20 0v10' }],\n ['path', { d: 'M15 6.8v1.4a3 2.8 0 1 1-6 0V6.8' }],\n ['path', { d: 'M10 15h.01' }],\n ['path', { d: 'M14 15h.01' }],\n ['path', { d: 'M10 19a4 4 0 0 1-4-4v-3a6 6 0 1 1 12 0v3a4 4 0 0 1-4 4Z' }],\n ['path', { d: 'm9 19-2 3' }],\n ['path', { d: 'm15 19 2 3' }],\n ],\n];\n\nexport default TrainFrontTunnel;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name train-front\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/train-front\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TrainFront: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 3.1V7a4 4 0 0 0 8 0V3.1' }],\n ['path', { d: 'm9 15-1-1' }],\n ['path', { d: 'm15 15 1-1' }],\n ['path', { d: 'M9 19c-2.8 0-5-2.2-5-5v-4a8 8 0 0 1 16 0v4c0 2.8-2.2 5-5 5Z' }],\n ['path', { d: 'm8 19-2 3' }],\n ['path', { d: 'm16 19 2 3' }],\n ],\n];\n\nexport default TrainFront;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name train-track\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/train-track\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TrainTrack: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 17 17 2' }],\n ['path', { d: 'm2 14 8 8' }],\n ['path', { d: 'm5 11 8 8' }],\n ['path', { d: 'm8 8 8 8' }],\n ['path', { d: 'm11 5 8 8' }],\n ['path', { d: 'm14 2 8 8' }],\n ['path', { d: 'M7 22 22 7' }],\n ],\n];\n\nexport default TrainTrack;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tram-front\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tram-front\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TramFront: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '16', height: '16', x: '4', y: '3', rx: '2' }],\n ['path', { d: 'M4 11h16' }],\n ['path', { d: 'M12 3v8' }],\n ['path', { d: 'm8 19-2 3' }],\n ['path', { d: 'm18 22-2-3' }],\n ['path', { d: 'M8 15h.01' }],\n ['path', { d: 'M16 15h.01' }],\n ],\n];\n\nexport default TramFront;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name trash-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/trash-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Trash2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 6h18' }],\n ['path', { d: 'M19 6v14c0 1-1 2-2 2H7c-1 0-2-1-2-2V6' }],\n ['path', { d: 'M8 6V4c0-1 1-2 2-2h4c1 0 2 1 2 2v2' }],\n ['line', { x1: '10', x2: '10', y1: '11', y2: '17' }],\n ['line', { x1: '14', x2: '14', y1: '11', y2: '17' }],\n ],\n];\n\nexport default Trash2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name trash\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/trash\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Trash: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 6h18' }],\n ['path', { d: 'M19 6v14c0 1-1 2-2 2H7c-1 0-2-1-2-2V6' }],\n ['path', { d: 'M8 6V4c0-1 1-2 2-2h4c1 0 2 1 2 2v2' }],\n ],\n];\n\nexport default Trash;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tree-deciduous\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tree-deciduous\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TreeDeciduous: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M8 19a4 4 0 0 1-2.24-7.32A3.5 3.5 0 0 1 9 6.03V6a3 3 0 1 1 6 0v.04a3.5 3.5 0 0 1 3.24 5.65A4 4 0 0 1 16 19Z',\n },\n ],\n ['path', { d: 'M12 19v3' }],\n ],\n];\n\nexport default TreeDeciduous;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tree-palm\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tree-palm\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TreePalm: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M13 8c0-2.76-2.46-5-5.5-5S2 5.24 2 8h2l1-1 1 1h4' }],\n ['path', { d: 'M13 7.14A5.82 5.82 0 0 1 16.5 6c3.04 0 5.5 2.24 5.5 5h-3l-1-1-1 1h-3' }],\n [\n 'path',\n {\n d: 'M5.89 9.71c-2.15 2.15-2.3 5.47-.35 7.43l4.24-4.25.7-.7.71-.71 2.12-2.12c-1.95-1.96-5.27-1.8-7.42.35',\n },\n ],\n ['path', { d: 'M11 15.5c.5 2.5-.17 4.5-1 6.5h4c2-5.5-.5-12-1-14' }],\n ],\n];\n\nexport default TreePalm;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tree-pine\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tree-pine\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TreePine: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm17 14 3 3.3a1 1 0 0 1-.7 1.7H4.7a1 1 0 0 1-.7-1.7L7 14h-.3a1 1 0 0 1-.7-1.7L9 9h-.2A1 1 0 0 1 8 7.3L12 3l4 4.3a1 1 0 0 1-.8 1.7H15l3 3.3a1 1 0 0 1-.7 1.7H17Z',\n },\n ],\n ['path', { d: 'M12 22v-3' }],\n ],\n];\n\nexport default TreePine;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name trees\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/trees\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Trees: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10 10v.2A3 3 0 0 1 8.9 16H5a3 3 0 0 1-1-5.8V10a3 3 0 0 1 6 0Z' }],\n ['path', { d: 'M7 16v6' }],\n ['path', { d: 'M13 19v3' }],\n [\n 'path',\n {\n d: 'M12 19h8.3a1 1 0 0 0 .7-1.7L18 14h.3a1 1 0 0 0 .7-1.7L16 9h.2a1 1 0 0 0 .8-1.7L13 3l-1.4 1.5',\n },\n ],\n ],\n];\n\nexport default Trees;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name trello\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/trello\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n * @deprecated Brand icons have been deprecated and are due to be removed, please refer to https://github.com/lucide-icons/lucide/issues/670. We recommend using https://simpleicons.org/?q=trello instead. This icon will be removed in v1.0\n */\nconst Trello: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2', ry: '2' }],\n ['rect', { width: '3', height: '9', x: '7', y: '7' }],\n ['rect', { width: '3', height: '5', x: '14', y: '7' }],\n ],\n];\n\nexport default Trello;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name trending-down\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/trending-down\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TrendingDown: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '22 17 13.5 8.5 8.5 13.5 2 7' }],\n ['polyline', { points: '16 17 22 17 22 11' }],\n ],\n];\n\nexport default TrendingDown;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name trending-up\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/trending-up\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TrendingUp: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '22 7 13.5 15.5 8.5 10.5 2 17' }],\n ['polyline', { points: '16 7 22 7 22 13' }],\n ],\n];\n\nexport default TrendingUp;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name triangle-alert\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/triangle-alert\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TriangleAlert: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm21.73 18-8-14a2 2 0 0 0-3.48 0l-8 14A2 2 0 0 0 4 21h16a2 2 0 0 0 1.73-3' }],\n ['path', { d: 'M12 9v4' }],\n ['path', { d: 'M12 17h.01' }],\n ],\n];\n\nexport default TriangleAlert;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name triangle-right\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/triangle-right\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TriangleRight: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M22 18a2 2 0 0 1-2 2H3c-1.1 0-1.3-.6-.4-1.3L20.4 4.3c.9-.7 1.6-.4 1.6.7Z' }]],\n];\n\nexport default TriangleRight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name triangle\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/triangle\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Triangle: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M13.73 4a2 2 0 0 0-3.46 0l-8 14A2 2 0 0 0 4 21h16a2 2 0 0 0 1.73-3Z' }]],\n];\n\nexport default Triangle;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name trophy\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/trophy\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Trophy: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 9H4.5a2.5 2.5 0 0 1 0-5H6' }],\n ['path', { d: 'M18 9h1.5a2.5 2.5 0 0 0 0-5H18' }],\n ['path', { d: 'M4 22h16' }],\n ['path', { d: 'M10 14.66V17c0 .55-.47.98-.97 1.21C7.85 18.75 7 20.24 7 22' }],\n ['path', { d: 'M14 14.66V17c0 .55.47.98.97 1.21C16.15 18.75 17 20.24 17 22' }],\n ['path', { d: 'M18 2H6v7a6 6 0 0 0 12 0V2Z' }],\n ],\n];\n\nexport default Trophy;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name truck\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/truck\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Truck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M14 18V6a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2v11a1 1 0 0 0 1 1h2' }],\n ['path', { d: 'M15 18H9' }],\n [\n 'path',\n { d: 'M19 18h2a1 1 0 0 0 1-1v-3.65a1 1 0 0 0-.22-.624l-3.48-4.35A1 1 0 0 0 17.52 8H14' },\n ],\n ['circle', { cx: '17', cy: '18', r: '2' }],\n ['circle', { cx: '7', cy: '18', r: '2' }],\n ],\n];\n\nexport default Truck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name turtle\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/turtle\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Turtle: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm12 10 2 4v3a1 1 0 0 0 1 1h2a1 1 0 0 0 1-1v-3a8 8 0 1 0-16 0v3a1 1 0 0 0 1 1h2a1 1 0 0 0 1-1v-3l2-4h4Z',\n },\n ],\n ['path', { d: 'M4.82 7.9 8 10' }],\n ['path', { d: 'M15.18 7.9 12 10' }],\n ['path', { d: 'M16.93 10H20a2 2 0 0 1 0 4H2' }],\n ],\n];\n\nexport default Turtle;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tv-minimal-play\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tv-minimal-play\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TvMinimalPlay: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M10 7.75a.75.75 0 0 1 1.142-.638l3.664 2.249a.75.75 0 0 1 0 1.278l-3.664 2.25a.75.75 0 0 1-1.142-.64z',\n },\n ],\n ['path', { d: 'M7 21h10' }],\n ['rect', { width: '20', height: '14', x: '2', y: '3', rx: '2' }],\n ],\n];\n\nexport default TvMinimalPlay;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tv-minimal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tv-minimal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TvMinimal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M7 21h10' }],\n ['rect', { width: '20', height: '14', x: '2', y: '3', rx: '2' }],\n ],\n];\n\nexport default TvMinimal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name tv\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/tv\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Tv: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '15', x: '2', y: '7', rx: '2', ry: '2' }],\n ['polyline', { points: '17 2 12 7 7 2' }],\n ],\n];\n\nexport default Tv;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name twitch\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/twitch\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n * @deprecated Brand icons have been deprecated and are due to be removed, please refer to https://github.com/lucide-icons/lucide/issues/670. We recommend using https://simpleicons.org/?q=twitch instead. This icon will be removed in v1.0\n */\nconst Twitch: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M21 2H3v16h5v4l4-4h5l4-4V2zm-10 9V7m5 4V7' }]],\n];\n\nexport default Twitch;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name twitter\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/twitter\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n * @deprecated Brand icons have been deprecated and are due to be removed, please refer to https://github.com/lucide-icons/lucide/issues/670. We recommend using https://simpleicons.org/?q=twitter instead. This icon will be removed in v1.0\n */\nconst Twitter: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M22 4s-.7 2.1-2 3.4c1.6 10-9.4 17.3-18 11.6 2.2.1 4.4-.6 6-2C3 15.5.5 9.6 3 5c2.2 2.6 5.6 4.1 9 4-.9-4.2 4-6.6 7-3.8 1.1 0 3-1.2 3-1.2z',\n },\n ],\n ],\n];\n\nexport default Twitter;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name type-outline\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/type-outline\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst TypeOutline: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M14 16.5a.5.5 0 0 0 .5.5h.5a2 2 0 0 1 0 4H9a2 2 0 0 1 0-4h.5a.5.5 0 0 0 .5-.5v-9a.5.5 0 0 0-.5-.5h-3a.5.5 0 0 0-.5.5V8a2 2 0 0 1-4 0V5a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2v3a2 2 0 0 1-4 0v-.5a.5.5 0 0 0-.5-.5h-3a.5.5 0 0 0-.5.5Z',\n },\n ],\n ],\n];\n\nexport default TypeOutline;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name type\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/type\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Type: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polyline', { points: '4 7 4 4 20 4 20 7' }],\n ['line', { x1: '9', x2: '15', y1: '20', y2: '20' }],\n ['line', { x1: '12', x2: '12', y1: '4', y2: '20' }],\n ],\n];\n\nexport default Type;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name umbrella-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/umbrella-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UmbrellaOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 2v1' }],\n ['path', { d: 'M15.5 21a1.85 1.85 0 0 1-3.5-1v-8H2a10 10 0 0 1 3.428-6.575' }],\n ['path', { d: 'M17.5 12H22A10 10 0 0 0 9.004 3.455' }],\n ['path', { d: 'm2 2 20 20' }],\n ],\n];\n\nexport default UmbrellaOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name umbrella\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/umbrella\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Umbrella: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M22 12a10.06 10.06 1 0 0-20 0Z' }],\n ['path', { d: 'M12 12v8a2 2 0 0 0 4 0' }],\n ['path', { d: 'M12 2v1' }],\n ],\n];\n\nexport default Umbrella;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name underline\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/underline\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Underline: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M6 4v6a6 6 0 0 0 12 0V4' }],\n ['line', { x1: '4', x2: '20', y1: '20', y2: '20' }],\n ],\n];\n\nexport default Underline;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name undo-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/undo-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Undo2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M9 14 4 9l5-5' }],\n ['path', { d: 'M4 9h10.5a5.5 5.5 0 0 1 5.5 5.5a5.5 5.5 0 0 1-5.5 5.5H11' }],\n ],\n];\n\nexport default Undo2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name undo-dot\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/undo-dot\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UndoDot: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '17', r: '1' }],\n ['path', { d: 'M3 7v6h6' }],\n ['path', { d: 'M21 17a9 9 0 0 0-9-9 9 9 0 0 0-6 2.3L3 13' }],\n ],\n];\n\nexport default UndoDot;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name undo\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/undo\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Undo: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 7v6h6' }],\n ['path', { d: 'M21 17a9 9 0 0 0-9-9 9 9 0 0 0-6 2.3L3 13' }],\n ],\n];\n\nexport default Undo;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name unfold-horizontal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/unfold-horizontal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UnfoldHorizontal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 12h6' }],\n ['path', { d: 'M8 12H2' }],\n ['path', { d: 'M12 2v2' }],\n ['path', { d: 'M12 8v2' }],\n ['path', { d: 'M12 14v2' }],\n ['path', { d: 'M12 20v2' }],\n ['path', { d: 'm19 15 3-3-3-3' }],\n ['path', { d: 'm5 9-3 3 3 3' }],\n ],\n];\n\nexport default UnfoldHorizontal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name unfold-vertical\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/unfold-vertical\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UnfoldVertical: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 22v-6' }],\n ['path', { d: 'M12 8V2' }],\n ['path', { d: 'M4 12H2' }],\n ['path', { d: 'M10 12H8' }],\n ['path', { d: 'M16 12h-2' }],\n ['path', { d: 'M22 12h-2' }],\n ['path', { d: 'm15 19-3 3-3-3' }],\n ['path', { d: 'm15 5-3-3-3 3' }],\n ],\n];\n\nexport default UnfoldVertical;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name ungroup\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/ungroup\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Ungroup: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '8', height: '6', x: '5', y: '4', rx: '1' }],\n ['rect', { width: '8', height: '6', x: '11', y: '14', rx: '1' }],\n ],\n];\n\nexport default Ungroup;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name university\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/university\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst University: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '10', r: '1' }],\n ['path', { d: 'M22 20V8h-4l-6-4-6 4H2v12a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2' }],\n ['path', { d: 'M6 17v.01' }],\n ['path', { d: 'M6 13v.01' }],\n ['path', { d: 'M18 17v.01' }],\n ['path', { d: 'M18 13v.01' }],\n ['path', { d: 'M14 22v-5a2 2 0 0 0-2-2a2 2 0 0 0-2 2v5' }],\n ],\n];\n\nexport default University;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name unlink-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/unlink-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Unlink2: IconNode = [\n 'svg',\n defaultAttributes,\n [['path', { d: 'M15 7h2a5 5 0 0 1 0 10h-2m-6 0H7A5 5 0 0 1 7 7h2' }]],\n];\n\nexport default Unlink2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name unlink\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/unlink\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Unlink: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm18.84 12.25 1.72-1.71h-.02a5.004 5.004 0 0 0-.12-7.07 5.006 5.006 0 0 0-6.95 0l-1.72 1.71',\n },\n ],\n [\n 'path',\n { d: 'm5.17 11.75-1.71 1.71a5.004 5.004 0 0 0 .12 7.07 5.006 5.006 0 0 0 6.95 0l1.71-1.71' },\n ],\n ['line', { x1: '8', x2: '8', y1: '2', y2: '5' }],\n ['line', { x1: '2', x2: '5', y1: '8', y2: '8' }],\n ['line', { x1: '16', x2: '16', y1: '19', y2: '22' }],\n ['line', { x1: '19', x2: '22', y1: '16', y2: '16' }],\n ],\n];\n\nexport default Unlink;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name unplug\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/unplug\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Unplug: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm19 5 3-3' }],\n ['path', { d: 'm2 22 3-3' }],\n ['path', { d: 'M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z' }],\n ['path', { d: 'M7.5 13.5 10 11' }],\n ['path', { d: 'M10.5 16.5 13 14' }],\n ['path', { d: 'm12 6 6 6 2.3-2.3a2.4 2.4 0 0 0 0-3.4l-2.6-2.6a2.4 2.4 0 0 0-3.4 0Z' }],\n ],\n];\n\nexport default Unplug;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name upload\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/upload\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Upload: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4' }],\n ['polyline', { points: '17 8 12 3 7 8' }],\n ['line', { x1: '12', x2: '12', y1: '3', y2: '15' }],\n ],\n];\n\nexport default Upload;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name usb\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/usb\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Usb: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '10', cy: '7', r: '1' }],\n ['circle', { cx: '4', cy: '20', r: '1' }],\n ['path', { d: 'M4.7 19.3 19 5' }],\n ['path', { d: 'm21 3-3 1 2 2Z' }],\n ['path', { d: 'M9.26 7.68 5 12l2 5' }],\n ['path', { d: 'm10 14 5 2 3.5-3.5' }],\n ['path', { d: 'm18 12 1-1 1 1-1 1Z' }],\n ],\n];\n\nexport default Usb;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name user-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/user-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UserCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2' }],\n ['circle', { cx: '9', cy: '7', r: '4' }],\n ['polyline', { points: '16 11 18 13 22 9' }],\n ],\n];\n\nexport default UserCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name user-cog\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/user-cog\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UserCog: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '18', cy: '15', r: '3' }],\n ['circle', { cx: '9', cy: '7', r: '4' }],\n ['path', { d: 'M10 15H6a4 4 0 0 0-4 4v2' }],\n ['path', { d: 'm21.7 16.4-.9-.3' }],\n ['path', { d: 'm15.2 13.9-.9-.3' }],\n ['path', { d: 'm16.6 18.7.3-.9' }],\n ['path', { d: 'm19.1 12.2.3-.9' }],\n ['path', { d: 'm19.6 18.7-.4-1' }],\n ['path', { d: 'm16.8 12.3-.4-1' }],\n ['path', { d: 'm14.3 16.6 1-.4' }],\n ['path', { d: 'm20.7 13.8 1-.4' }],\n ],\n];\n\nexport default UserCog;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name user-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/user-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UserMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2' }],\n ['circle', { cx: '9', cy: '7', r: '4' }],\n ['line', { x1: '22', x2: '16', y1: '11', y2: '11' }],\n ],\n];\n\nexport default UserMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name user-pen\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/user-pen\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UserPen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M11.5 15H7a4 4 0 0 0-4 4v2' }],\n [\n 'path',\n {\n d: 'M21.378 16.626a1 1 0 0 0-3.004-3.004l-4.01 4.012a2 2 0 0 0-.506.854l-.837 2.87a.5.5 0 0 0 .62.62l2.87-.837a2 2 0 0 0 .854-.506z',\n },\n ],\n ['circle', { cx: '10', cy: '7', r: '4' }],\n ],\n];\n\nexport default UserPen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name user-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/user-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UserPlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2' }],\n ['circle', { cx: '9', cy: '7', r: '4' }],\n ['line', { x1: '19', x2: '19', y1: '8', y2: '14' }],\n ['line', { x1: '22', x2: '16', y1: '11', y2: '11' }],\n ],\n];\n\nexport default UserPlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name user-round-check\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/user-round-check\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UserRoundCheck: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 21a8 8 0 0 1 13.292-6' }],\n ['circle', { cx: '10', cy: '8', r: '5' }],\n ['path', { d: 'm16 19 2 2 4-4' }],\n ],\n];\n\nexport default UserRoundCheck;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name user-round-cog\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/user-round-cog\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UserRoundCog: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 21a8 8 0 0 1 10.434-7.62' }],\n ['circle', { cx: '10', cy: '8', r: '5' }],\n ['circle', { cx: '18', cy: '18', r: '3' }],\n ['path', { d: 'm19.5 14.3-.4.9' }],\n ['path', { d: 'm16.9 20.8-.4.9' }],\n ['path', { d: 'm21.7 19.5-.9-.4' }],\n ['path', { d: 'm15.2 16.9-.9-.4' }],\n ['path', { d: 'm21.7 16.5-.9.4' }],\n ['path', { d: 'm15.2 19.1-.9.4' }],\n ['path', { d: 'm19.5 21.7-.4-.9' }],\n ['path', { d: 'm16.9 15.2-.4-.9' }],\n ],\n];\n\nexport default UserRoundCog;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name user-round-minus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/user-round-minus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UserRoundMinus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 21a8 8 0 0 1 13.292-6' }],\n ['circle', { cx: '10', cy: '8', r: '5' }],\n ['path', { d: 'M22 19h-6' }],\n ],\n];\n\nexport default UserRoundMinus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name user-round-pen\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/user-round-pen\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UserRoundPen: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 21a8 8 0 0 1 10.821-7.487' }],\n [\n 'path',\n {\n d: 'M21.378 16.626a1 1 0 0 0-3.004-3.004l-4.01 4.012a2 2 0 0 0-.506.854l-.837 2.87a.5.5 0 0 0 .62.62l2.87-.837a2 2 0 0 0 .854-.506z',\n },\n ],\n ['circle', { cx: '10', cy: '8', r: '5' }],\n ],\n];\n\nexport default UserRoundPen;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name user-round-plus\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/user-round-plus\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UserRoundPlus: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 21a8 8 0 0 1 13.292-6' }],\n ['circle', { cx: '10', cy: '8', r: '5' }],\n ['path', { d: 'M19 16v6' }],\n ['path', { d: 'M22 19h-6' }],\n ],\n];\n\nexport default UserRoundPlus;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name user-round-search\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/user-round-search\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UserRoundSearch: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '10', cy: '8', r: '5' }],\n ['path', { d: 'M2 21a8 8 0 0 1 10.434-7.62' }],\n ['circle', { cx: '18', cy: '18', r: '3' }],\n ['path', { d: 'm22 22-1.9-1.9' }],\n ],\n];\n\nexport default UserRoundSearch;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name user-round-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/user-round-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UserRoundX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 21a8 8 0 0 1 11.873-7' }],\n ['circle', { cx: '10', cy: '8', r: '5' }],\n ['path', { d: 'm17 17 5 5' }],\n ['path', { d: 'm22 17-5 5' }],\n ],\n];\n\nexport default UserRoundX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name user-round\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/user-round\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UserRound: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '8', r: '5' }],\n ['path', { d: 'M20 21a8 8 0 0 0-16 0' }],\n ],\n];\n\nexport default UserRound;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name user-search\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/user-search\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UserSearch: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '10', cy: '7', r: '4' }],\n ['path', { d: 'M10.3 15H7a4 4 0 0 0-4 4v2' }],\n ['circle', { cx: '17', cy: '17', r: '3' }],\n ['path', { d: 'm21 21-1.9-1.9' }],\n ],\n];\n\nexport default UserSearch;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name user-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/user-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UserX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2' }],\n ['circle', { cx: '9', cy: '7', r: '4' }],\n ['line', { x1: '17', x2: '22', y1: '8', y2: '13' }],\n ['line', { x1: '22', x2: '17', y1: '8', y2: '13' }],\n ],\n];\n\nexport default UserX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name user\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/user\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst User: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M19 21v-2a4 4 0 0 0-4-4H9a4 4 0 0 0-4 4v2' }],\n ['circle', { cx: '12', cy: '7', r: '4' }],\n ],\n];\n\nexport default User;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name users-round\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/users-round\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UsersRound: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18 21a8 8 0 0 0-16 0' }],\n ['circle', { cx: '10', cy: '8', r: '5' }],\n ['path', { d: 'M22 20c0-3.37-2-6.5-4-8a5 5 0 0 0-.45-8.3' }],\n ],\n];\n\nexport default UsersRound;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name users\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/users\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Users: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2' }],\n ['circle', { cx: '9', cy: '7', r: '4' }],\n ['path', { d: 'M22 21v-2a4 4 0 0 0-3-3.87' }],\n ['path', { d: 'M16 3.13a4 4 0 0 1 0 7.75' }],\n ],\n];\n\nexport default Users;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name utensils-crossed\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/utensils-crossed\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UtensilsCrossed: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm16 2-2.3 2.3a3 3 0 0 0 0 4.2l1.8 1.8a3 3 0 0 0 4.2 0L22 8' }],\n ['path', { d: 'M15 15 3.3 3.3a4.2 4.2 0 0 0 0 6l7.3 7.3c.7.7 2 .7 2.8 0L15 15Zm0 0 7 7' }],\n ['path', { d: 'm2.1 21.8 6.4-6.3' }],\n ['path', { d: 'm19 5-7 7' }],\n ],\n];\n\nexport default UtensilsCrossed;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name utensils\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/utensils\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Utensils: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 2v7c0 1.1.9 2 2 2h4a2 2 0 0 0 2-2V2' }],\n ['path', { d: 'M7 2v20' }],\n ['path', { d: 'M21 15V2a5 5 0 0 0-5 5v6c0 1.1.9 2 2 2h3Zm0 0v7' }],\n ],\n];\n\nexport default Utensils;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name utility-pole\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/utility-pole\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst UtilityPole: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 2v20' }],\n ['path', { d: 'M2 5h20' }],\n ['path', { d: 'M3 3v2' }],\n ['path', { d: 'M7 3v2' }],\n ['path', { d: 'M17 3v2' }],\n ['path', { d: 'M21 3v2' }],\n ['path', { d: 'm19 5-7 7-7-7' }],\n ],\n];\n\nexport default UtilityPole;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name variable\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/variable\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Variable: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 21s-4-3-4-9 4-9 4-9' }],\n ['path', { d: 'M16 3s4 3 4 9-4 9-4 9' }],\n ['line', { x1: '15', x2: '9', y1: '9', y2: '15' }],\n ['line', { x1: '9', x2: '15', y1: '9', y2: '15' }],\n ],\n];\n\nexport default Variable;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name vault\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/vault\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Vault: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['circle', { cx: '7.5', cy: '7.5', r: '.5', fill: 'currentColor' }],\n ['path', { d: 'm7.9 7.9 2.7 2.7' }],\n ['circle', { cx: '16.5', cy: '7.5', r: '.5', fill: 'currentColor' }],\n ['path', { d: 'm13.4 10.6 2.7-2.7' }],\n ['circle', { cx: '7.5', cy: '16.5', r: '.5', fill: 'currentColor' }],\n ['path', { d: 'm7.9 16.1 2.7-2.7' }],\n ['circle', { cx: '16.5', cy: '16.5', r: '.5', fill: 'currentColor' }],\n ['path', { d: 'm13.4 13.4 2.7 2.7' }],\n ['circle', { cx: '12', cy: '12', r: '2' }],\n ],\n];\n\nexport default Vault;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name vegan\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/vegan\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Vegan: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 2a26.6 26.6 0 0 1 10 20c.9-6.82 1.5-9.5 4-14' }],\n ['path', { d: 'M16 8c4 0 6-2 6-6-4 0-6 2-6 6' }],\n ['path', { d: 'M17.41 3.6a10 10 0 1 0 3 3' }],\n ],\n];\n\nexport default Vegan;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name venetian-mask\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/venetian-mask\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst VenetianMask: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2 12a5 5 0 0 0 5 5 8 8 0 0 1 5 2 8 8 0 0 1 5-2 5 5 0 0 0 5-5V7h-5a8 8 0 0 0-5 2 8 8 0 0 0-5-2H2Z',\n },\n ],\n ['path', { d: 'M6 11c1.5 0 3 .5 3 2-2 0-3 0-3-2Z' }],\n ['path', { d: 'M18 11c-1.5 0-3 .5-3 2 2 0 3 0 3-2Z' }],\n ],\n];\n\nexport default VenetianMask;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name vibrate-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/vibrate-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst VibrateOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm2 8 2 2-2 2 2 2-2 2' }],\n ['path', { d: 'm22 8-2 2 2 2-2 2 2 2' }],\n ['path', { d: 'M8 8v10c0 .55.45 1 1 1h6c.55 0 1-.45 1-1v-2' }],\n ['path', { d: 'M16 10.34V6c0-.55-.45-1-1-1h-4.34' }],\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ],\n];\n\nexport default VibrateOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name vibrate\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/vibrate\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Vibrate: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm2 8 2 2-2 2 2 2-2 2' }],\n ['path', { d: 'm22 8-2 2 2 2-2 2 2 2' }],\n ['rect', { width: '8', height: '14', x: '8', y: '5', rx: '1' }],\n ],\n];\n\nexport default Vibrate;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name video-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/video-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst VideoOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10.66 6H14a2 2 0 0 1 2 2v2.5l5.248-3.062A.5.5 0 0 1 22 7.87v8.196' }],\n ['path', { d: 'M16 16a2 2 0 0 1-2 2H4a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h2' }],\n ['path', { d: 'm2 2 20 20' }],\n ],\n];\n\nexport default VideoOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name video\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/video\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Video: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm16 13 5.223 3.482a.5.5 0 0 0 .777-.416V7.87a.5.5 0 0 0-.752-.432L16 10.5' }],\n ['rect', { x: '2', y: '6', width: '14', height: '12', rx: '2' }],\n ],\n];\n\nexport default Video;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name videotape\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/videotape\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Videotape: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '20', height: '16', x: '2', y: '4', rx: '2' }],\n ['path', { d: 'M2 8h20' }],\n ['circle', { cx: '8', cy: '14', r: '2' }],\n ['path', { d: 'M8 12h8' }],\n ['circle', { cx: '16', cy: '14', r: '2' }],\n ],\n];\n\nexport default Videotape;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name view\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/view\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst View: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M21 17v2a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-2' }],\n ['path', { d: 'M21 7V5a2 2 0 0 0-2-2H5a2 2 0 0 0-2 2v2' }],\n ['circle', { cx: '12', cy: '12', r: '1' }],\n [\n 'path',\n {\n d: 'M18.944 12.33a1 1 0 0 0 0-.66 7.5 7.5 0 0 0-13.888 0 1 1 0 0 0 0 .66 7.5 7.5 0 0 0 13.888 0',\n },\n ],\n ],\n];\n\nexport default View;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name voicemail\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/voicemail\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Voicemail: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '6', cy: '12', r: '4' }],\n ['circle', { cx: '18', cy: '12', r: '4' }],\n ['line', { x1: '6', x2: '18', y1: '16', y2: '16' }],\n ],\n];\n\nexport default Voicemail;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name volume-1\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/volume-1\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Volume1: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polygon', { points: '11 5 6 9 2 9 2 15 6 15 11 19 11 5' }],\n ['path', { d: 'M15.54 8.46a5 5 0 0 1 0 7.07' }],\n ],\n];\n\nexport default Volume1;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name volume-2\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/volume-2\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Volume2: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polygon', { points: '11 5 6 9 2 9 2 15 6 15 11 19 11 5' }],\n ['path', { d: 'M15.54 8.46a5 5 0 0 1 0 7.07' }],\n ['path', { d: 'M19.07 4.93a10 10 0 0 1 0 14.14' }],\n ],\n];\n\nexport default Volume2;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name volume-x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/volume-x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst VolumeX: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['polygon', { points: '11 5 6 9 2 9 2 15 6 15 11 19 11 5' }],\n ['line', { x1: '22', x2: '16', y1: '9', y2: '15' }],\n ['line', { x1: '16', x2: '22', y1: '9', y2: '15' }],\n ],\n];\n\nexport default VolumeX;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name volume\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/volume\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Volume: IconNode = [\n 'svg',\n defaultAttributes,\n [['polygon', { points: '11 5 6 9 2 9 2 15 6 15 11 19 11 5' }]],\n];\n\nexport default Volume;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name vote\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/vote\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Vote: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm9 12 2 2 4-4' }],\n ['path', { d: 'M5 7c0-1.1.9-2 2-2h10a2 2 0 0 1 2 2v12H5V7Z' }],\n ['path', { d: 'M22 19H2' }],\n ],\n];\n\nexport default Vote;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name wallet-cards\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/wallet-cards\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst WalletCards: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '18', height: '18', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M3 9a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2' }],\n [\n 'path',\n { d: 'M3 11h3c.8 0 1.6.3 2.1.9l1.1.9c1.6 1.6 4.1 1.6 5.7 0l1.1-.9c.5-.5 1.3-.9 2.1-.9H21' },\n ],\n ],\n];\n\nexport default WalletCards;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name wallet-minimal\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/wallet-minimal\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst WalletMinimal: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M17 14h.01' }],\n ['path', { d: 'M7 7h12a2 2 0 0 1 2 2v10a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h14' }],\n ],\n];\n\nexport default WalletMinimal;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name wallet\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/wallet\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Wallet: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M19 7V4a1 1 0 0 0-1-1H5a2 2 0 0 0 0 4h15a1 1 0 0 1 1 1v4h-3a2 2 0 0 0 0 4h3a1 1 0 0 0 1-1v-2a1 1 0 0 0-1-1',\n },\n ],\n ['path', { d: 'M3 5v14a2 2 0 0 0 2 2h15a1 1 0 0 0 1-1v-4' }],\n ],\n];\n\nexport default Wallet;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name wallpaper\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/wallpaper\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Wallpaper: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '8', cy: '9', r: '2' }],\n [\n 'path',\n {\n d: 'm9 17 6.1-6.1a2 2 0 0 1 2.81.01L22 15V5a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2v10a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2',\n },\n ],\n ['path', { d: 'M8 21h8' }],\n ['path', { d: 'M12 17v4' }],\n ],\n];\n\nexport default Wallpaper;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name wand-sparkles\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/wand-sparkles\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst WandSparkles: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'm21.64 3.64-1.28-1.28a1.21 1.21 0 0 0-1.72 0L2.36 18.64a1.21 1.21 0 0 0 0 1.72l1.28 1.28a1.2 1.2 0 0 0 1.72 0L21.64 5.36a1.2 1.2 0 0 0 0-1.72',\n },\n ],\n ['path', { d: 'm14 7 3 3' }],\n ['path', { d: 'M5 6v4' }],\n ['path', { d: 'M19 14v4' }],\n ['path', { d: 'M10 2v2' }],\n ['path', { d: 'M7 8H3' }],\n ['path', { d: 'M21 16h-4' }],\n ['path', { d: 'M11 3H9' }],\n ],\n];\n\nexport default WandSparkles;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name wand\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/wand\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Wand: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M15 4V2' }],\n ['path', { d: 'M15 16v-2' }],\n ['path', { d: 'M8 9h2' }],\n ['path', { d: 'M20 9h2' }],\n ['path', { d: 'M17.8 11.8 19 13' }],\n ['path', { d: 'M15 9h.01' }],\n ['path', { d: 'M17.8 6.2 19 5' }],\n ['path', { d: 'm3 21 9-9' }],\n ['path', { d: 'M12.2 6.2 11 5' }],\n ],\n];\n\nexport default Wand;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name warehouse\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/warehouse\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Warehouse: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M22 8.35V20a2 2 0 0 1-2 2H4a2 2 0 0 1-2-2V8.35A2 2 0 0 1 3.26 6.5l8-3.2a2 2 0 0 1 1.48 0l8 3.2A2 2 0 0 1 22 8.35Z',\n },\n ],\n ['path', { d: 'M6 18h12' }],\n ['path', { d: 'M6 14h12' }],\n ['rect', { width: '12', height: '12', x: '6', y: '10' }],\n ],\n];\n\nexport default Warehouse;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name washing-machine\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/washing-machine\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst WashingMachine: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M3 6h3' }],\n ['path', { d: 'M17 6h.01' }],\n ['rect', { width: '18', height: '20', x: '3', y: '2', rx: '2' }],\n ['circle', { cx: '12', cy: '13', r: '5' }],\n ['path', { d: 'M12 18a2.5 2.5 0 0 0 0-5 2.5 2.5 0 0 1 0-5' }],\n ],\n];\n\nexport default WashingMachine;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name watch\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/watch\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Watch: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '12', r: '6' }],\n ['polyline', { points: '12 10 12 12 13 13' }],\n ['path', { d: 'm16.13 7.66-.81-4.05a2 2 0 0 0-2-1.61h-2.68a2 2 0 0 0-2 1.61l-.78 4.05' }],\n ['path', { d: 'm7.88 16.36.8 4a2 2 0 0 0 2 1.61h2.72a2 2 0 0 0 2-1.61l.81-4.05' }],\n ],\n];\n\nexport default Watch;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name waves\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/waves\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Waves: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2 6c.6.5 1.2 1 2.5 1C7 7 7 5 9.5 5c2.6 0 2.4 2 5 2 2.5 0 2.5-2 5-2 1.3 0 1.9.5 2.5 1',\n },\n ],\n [\n 'path',\n {\n d: 'M2 12c.6.5 1.2 1 2.5 1 2.5 0 2.5-2 5-2 2.6 0 2.4 2 5 2 2.5 0 2.5-2 5-2 1.3 0 1.9.5 2.5 1',\n },\n ],\n [\n 'path',\n {\n d: 'M2 18c.6.5 1.2 1 2.5 1 2.5 0 2.5-2 5-2 2.6 0 2.4 2 5 2 2.5 0 2.5-2 5-2 1.3 0 1.9.5 2.5 1',\n },\n ],\n ],\n];\n\nexport default Waves;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name waypoints\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/waypoints\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Waypoints: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '4.5', r: '2.5' }],\n ['path', { d: 'm10.2 6.3-3.9 3.9' }],\n ['circle', { cx: '4.5', cy: '12', r: '2.5' }],\n ['path', { d: 'M7 12h10' }],\n ['circle', { cx: '19.5', cy: '12', r: '2.5' }],\n ['path', { d: 'm13.8 17.7 3.9-3.9' }],\n ['circle', { cx: '12', cy: '19.5', r: '2.5' }],\n ],\n];\n\nexport default Waypoints;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name webcam\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/webcam\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Webcam: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '10', r: '8' }],\n ['circle', { cx: '12', cy: '10', r: '3' }],\n ['path', { d: 'M7 22h10' }],\n ['path', { d: 'M12 22v-4' }],\n ],\n];\n\nexport default Webcam;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name webhook-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/webhook-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst WebhookOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M17 17h-5c-1.09-.02-1.94.92-2.5 1.9A3 3 0 1 1 2.57 15' }],\n ['path', { d: 'M9 3.4a4 4 0 0 1 6.52.66' }],\n ['path', { d: 'm6 17 3.1-5.8a2.5 2.5 0 0 0 .057-2.05' }],\n ['path', { d: 'M20.3 20.3a4 4 0 0 1-2.3.7' }],\n ['path', { d: 'M18.6 13a4 4 0 0 1 3.357 3.414' }],\n ['path', { d: 'm12 6 .6 1' }],\n ['path', { d: 'm2 2 20 20' }],\n ],\n];\n\nexport default WebhookOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name webhook\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/webhook\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Webhook: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18 16.98h-5.99c-1.1 0-1.95.94-2.48 1.9A4 4 0 0 1 2 17c.01-.7.2-1.4.57-2' }],\n ['path', { d: 'm6 17 3.13-5.78c.53-.97.1-2.18-.5-3.1a4 4 0 1 1 6.89-4.06' }],\n ['path', { d: 'm12 6 3.13 5.73C15.66 12.7 16.9 13 18 13a4 4 0 0 1 0 8' }],\n ],\n];\n\nexport default Webhook;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name weight\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/weight\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Weight: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '12', cy: '5', r: '3' }],\n [\n 'path',\n {\n d: 'M6.5 8a2 2 0 0 0-1.905 1.46L2.1 18.5A2 2 0 0 0 4 21h16a2 2 0 0 0 1.925-2.54L19.4 9.5A2 2 0 0 0 17.48 8Z',\n },\n ],\n ],\n];\n\nexport default Weight;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name wheat-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/wheat-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst WheatOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm2 22 10-10' }],\n ['path', { d: 'm16 8-1.17 1.17' }],\n [\n 'path',\n {\n d: 'M3.47 12.53 5 11l1.53 1.53a3.5 3.5 0 0 1 0 4.94L5 19l-1.53-1.53a3.5 3.5 0 0 1 0-4.94Z',\n },\n ],\n ['path', { d: 'm8 8-.53.53a3.5 3.5 0 0 0 0 4.94L9 15l1.53-1.53c.55-.55.88-1.25.98-1.97' }],\n ['path', { d: 'M10.91 5.26c.15-.26.34-.51.56-.73L13 3l1.53 1.53a3.5 3.5 0 0 1 .28 4.62' }],\n ['path', { d: 'M20 2h2v2a4 4 0 0 1-4 4h-2V6a4 4 0 0 1 4-4Z' }],\n [\n 'path',\n {\n d: 'M11.47 17.47 13 19l-1.53 1.53a3.5 3.5 0 0 1-4.94 0L5 19l1.53-1.53a3.5 3.5 0 0 1 4.94 0Z',\n },\n ],\n ['path', { d: 'm16 16-.53.53a3.5 3.5 0 0 1-4.94 0L9 15l1.53-1.53a3.49 3.49 0 0 1 1.97-.98' }],\n ['path', { d: 'M18.74 13.09c.26-.15.51-.34.73-.56L21 11l-1.53-1.53a3.5 3.5 0 0 0-4.62-.28' }],\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ],\n];\n\nexport default WheatOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name wheat\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/wheat\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Wheat: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M2 22 16 8' }],\n [\n 'path',\n {\n d: 'M3.47 12.53 5 11l1.53 1.53a3.5 3.5 0 0 1 0 4.94L5 19l-1.53-1.53a3.5 3.5 0 0 1 0-4.94Z',\n },\n ],\n [\n 'path',\n { d: 'M7.47 8.53 9 7l1.53 1.53a3.5 3.5 0 0 1 0 4.94L9 15l-1.53-1.53a3.5 3.5 0 0 1 0-4.94Z' },\n ],\n [\n 'path',\n {\n d: 'M11.47 4.53 13 3l1.53 1.53a3.5 3.5 0 0 1 0 4.94L13 11l-1.53-1.53a3.5 3.5 0 0 1 0-4.94Z',\n },\n ],\n ['path', { d: 'M20 2h2v2a4 4 0 0 1-4 4h-2V6a4 4 0 0 1 4-4Z' }],\n [\n 'path',\n {\n d: 'M11.47 17.47 13 19l-1.53 1.53a3.5 3.5 0 0 1-4.94 0L5 19l1.53-1.53a3.5 3.5 0 0 1 4.94 0Z',\n },\n ],\n [\n 'path',\n {\n d: 'M15.47 13.47 17 15l-1.53 1.53a3.5 3.5 0 0 1-4.94 0L9 15l1.53-1.53a3.5 3.5 0 0 1 4.94 0Z',\n },\n ],\n [\n 'path',\n {\n d: 'M19.47 9.47 21 11l-1.53 1.53a3.5 3.5 0 0 1-4.94 0L13 11l1.53-1.53a3.5 3.5 0 0 1 4.94 0Z',\n },\n ],\n ],\n];\n\nexport default Wheat;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name whole-word\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/whole-word\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst WholeWord: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '7', cy: '12', r: '3' }],\n ['path', { d: 'M10 9v6' }],\n ['circle', { cx: '17', cy: '12', r: '3' }],\n ['path', { d: 'M14 7v8' }],\n ['path', { d: 'M22 17v1c0 .5-.5 1-1 1H3c-.5 0-1-.5-1-1v-1' }],\n ],\n];\n\nexport default WholeWord;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name wifi-high\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/wifi-high\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst WifiHigh: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 20h.01' }],\n ['path', { d: 'M5 12.859a10 10 0 0 1 14 0' }],\n ['path', { d: 'M8.5 16.429a5 5 0 0 1 7 0' }],\n ],\n];\n\nexport default WifiHigh;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name wifi-low\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/wifi-low\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst WifiLow: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 20h.01' }],\n ['path', { d: 'M8.5 16.429a5 5 0 0 1 7 0' }],\n ],\n];\n\nexport default WifiLow;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name wifi-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/wifi-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst WifiOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 20h.01' }],\n ['path', { d: 'M8.5 16.429a5 5 0 0 1 7 0' }],\n ['path', { d: 'M5 12.859a10 10 0 0 1 5.17-2.69' }],\n ['path', { d: 'M19 12.859a10 10 0 0 0-2.007-1.523' }],\n ['path', { d: 'M2 8.82a15 15 0 0 1 4.177-2.643' }],\n ['path', { d: 'M22 8.82a15 15 0 0 0-11.288-3.764' }],\n ['path', { d: 'm2 2 20 20' }],\n ],\n];\n\nexport default WifiOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name wifi-zero\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/wifi-zero\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst WifiZero: IconNode = ['svg', defaultAttributes, [['path', { d: 'M12 20h.01' }]]];\n\nexport default WifiZero;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name wifi\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/wifi\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Wifi: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M12 20h.01' }],\n ['path', { d: 'M2 8.82a15 15 0 0 1 20 0' }],\n ['path', { d: 'M5 12.859a10 10 0 0 1 14 0' }],\n ['path', { d: 'M8.5 16.429a5 5 0 0 1 7 0' }],\n ],\n];\n\nexport default Wifi;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name wind\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/wind\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Wind: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M17.7 7.7a2.5 2.5 0 1 1 1.8 4.3H2' }],\n ['path', { d: 'M9.6 4.6A2 2 0 1 1 11 8H2' }],\n ['path', { d: 'M12.6 19.4A2 2 0 1 0 14 16H2' }],\n ],\n];\n\nexport default Wind;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name wine-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/wine-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst WineOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 22h8' }],\n ['path', { d: 'M7 10h3m7 0h-1.343' }],\n ['path', { d: 'M12 15v7' }],\n [\n 'path',\n {\n d: 'M7.307 7.307A12.33 12.33 0 0 0 7 10a5 5 0 0 0 7.391 4.391M8.638 2.981C8.75 2.668 8.872 2.34 9 2h6c1.5 4 2 6 2 8 0 .407-.05.809-.145 1.198',\n },\n ],\n ['line', { x1: '2', x2: '22', y1: '2', y2: '22' }],\n ],\n];\n\nexport default WineOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name wine\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/wine\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Wine: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M8 22h8' }],\n ['path', { d: 'M7 10h10' }],\n ['path', { d: 'M12 15v7' }],\n ['path', { d: 'M12 15a5 5 0 0 0 5-5c0-2-.5-4-2-8H9c-1.5 4-2 6-2 8a5 5 0 0 0 5 5Z' }],\n ],\n];\n\nexport default Wine;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name workflow\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/workflow\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Workflow: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['rect', { width: '8', height: '8', x: '3', y: '3', rx: '2' }],\n ['path', { d: 'M7 11v4a2 2 0 0 0 2 2h4' }],\n ['rect', { width: '8', height: '8', x: '13', y: '13', rx: '2' }],\n ],\n];\n\nexport default Workflow;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name worm\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/worm\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Worm: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'm19 12-1.5 3' }],\n ['path', { d: 'M19.63 18.81 22 20' }],\n [\n 'path',\n {\n d: 'M6.47 8.23a1.68 1.68 0 0 1 2.44 1.93l-.64 2.08a6.76 6.76 0 0 0 10.16 7.67l.42-.27a1 1 0 1 0-2.73-4.21l-.42.27a1.76 1.76 0 0 1-2.63-1.99l.64-2.08A6.66 6.66 0 0 0 3.94 3.9l-.7.4a1 1 0 1 0 2.55 4.34z',\n },\n ],\n ],\n];\n\nexport default Worm;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name wrap-text\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/wrap-text\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst WrapText: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['line', { x1: '3', x2: '21', y1: '6', y2: '6' }],\n ['path', { d: 'M3 12h15a3 3 0 1 1 0 6h-4' }],\n ['polyline', { points: '16 16 14 18 16 20' }],\n ['line', { x1: '3', x2: '10', y1: '18', y2: '18' }],\n ],\n];\n\nexport default WrapText;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name wrench\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/wrench\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Wrench: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M14.7 6.3a1 1 0 0 0 0 1.4l1.6 1.6a1 1 0 0 0 1.4 0l3.77-3.77a6 6 0 0 1-7.94 7.94l-6.91 6.91a2.12 2.12 0 0 1-3-3l6.91-6.91a6 6 0 0 1 7.94-7.94l-3.76 3.76z',\n },\n ],\n ],\n];\n\nexport default Wrench;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name x\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/x\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst X: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M18 6 6 18' }],\n ['path', { d: 'm6 6 12 12' }],\n ],\n];\n\nexport default X;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name youtube\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/youtube\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n * @deprecated Brand icons have been deprecated and are due to be removed, please refer to https://github.com/lucide-icons/lucide/issues/670. We recommend using https://simpleicons.org/?q=youtube instead. This icon will be removed in v1.0\n */\nconst Youtube: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M2.5 17a24.12 24.12 0 0 1 0-10 2 2 0 0 1 1.4-1.4 49.56 49.56 0 0 1 16.2 0A2 2 0 0 1 21.5 7a24.12 24.12 0 0 1 0 10 2 2 0 0 1-1.4 1.4 49.55 49.55 0 0 1-16.2 0A2 2 0 0 1 2.5 17',\n },\n ],\n ['path', { d: 'm10 15 5-3-5-3z' }],\n ],\n];\n\nexport default Youtube;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name zap-off\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/zap-off\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ZapOff: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['path', { d: 'M10.513 4.856 13.12 2.17a.5.5 0 0 1 .86.46l-1.377 4.317' }],\n ['path', { d: 'M15.656 10H20a1 1 0 0 1 .78 1.63l-1.72 1.773' }],\n [\n 'path',\n {\n d: 'M16.273 16.273 10.88 21.83a.5.5 0 0 1-.86-.46l1.92-6.02A1 1 0 0 0 11 14H4a1 1 0 0 1-.78-1.63l4.507-4.643',\n },\n ],\n ['path', { d: 'm2 2 20 20' }],\n ],\n];\n\nexport default ZapOff;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name zap\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/zap\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst Zap: IconNode = [\n 'svg',\n defaultAttributes,\n [\n [\n 'path',\n {\n d: 'M4 14a1 1 0 0 1-.78-1.63l9.9-10.2a.5.5 0 0 1 .86.46l-1.92 6.02A1 1 0 0 0 13 10h7a1 1 0 0 1 .78 1.63l-9.9 10.2a.5.5 0 0 1-.86-.46l1.92-6.02A1 1 0 0 0 11 14z',\n },\n ],\n ],\n];\n\nexport default Zap;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name zoom-in\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/zoom-in\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ZoomIn: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '11', cy: '11', r: '8' }],\n ['line', { x1: '21', x2: '16.65', y1: '21', y2: '16.65' }],\n ['line', { x1: '11', x2: '11', y1: '8', y2: '14' }],\n ['line', { x1: '8', x2: '14', y1: '11', y2: '11' }],\n ],\n];\n\nexport default ZoomIn;\n", "import defaultAttributes from '../defaultAttributes';\nimport type { IconNode } from '../types';\n\n/**\n * @name zoom-out\n * @description Lucide SVG icon node.\n *\n * @preview  - https://lucide.dev/icons/zoom-out\n * @see https://lucide.dev/guide/packages/lucide - Documentation\n *\n * @returns {Array}\n *\n */\nconst ZoomOut: IconNode = [\n 'svg',\n defaultAttributes,\n [\n ['circle', { cx: '11', cy: '11', r: '8' }],\n ['line', { x1: '21', x2: '16.65', y1: '21', y2: '16.65' }],\n ['line', { x1: '8', x2: '14', y1: '11', y2: '11' }],\n ],\n];\n\nexport default ZoomOut;\n", "import replaceElement from './replaceElement';\nimport * as iconAndAliases from './iconsAndAliases';\n\n/**\n * Replaces all elements with matching nameAttr with the defined icons\n * @param {{ icons?: object, nameAttr?: string, attrs?: object }} options\n */\nconst createIcons = ({ icons = {}, nameAttr = 'data-lucide', attrs = {} } = {}) => {\n if (!Object.values(icons).length) {\n throw new Error(\n \"Please provide an icons object.\\nIf you want to use all the icons you can import it like:\\n `import { createIcons, icons } from 'lucide';\\nlucide.createIcons({icons});`\",\n );\n }\n\n if (typeof document === 'undefined') {\n throw new Error('`createIcons()` only works in a browser environment.');\n }\n\n const elementsToReplace = document.querySelectorAll(`[${nameAttr}]`);\n Array.from(elementsToReplace).forEach((element) =>\n replaceElement(element, { nameAttr, icons, attrs }),\n );\n\n /** @todo: remove this block in v1.0 */\n if (nameAttr === 'data-lucide') {\n const deprecatedElements = document.querySelectorAll('[icon-name]');\n if (deprecatedElements.length > 0) {\n console.warn(\n '[Lucide] Some icons were found with the now deprecated icon-name attribute. These will still be replaced for backwards compatibility, but will no longer be supported in v1.0 and you should switch to data-lucide',\n );\n Array.from(deprecatedElements).forEach((element) =>\n replaceElement(element, { nameAttr: 'icon-name', icons, attrs }),\n );\n }\n }\n};\n\nexport { createIcons };\n\n/*\n Create Element function export.\n*/\nexport { default as createElement } from './createElement';\n\n/*\n Icons exports.\n*/\nexport { iconAndAliases as icons };\nexport * from './icons';\nexport * from './aliases';\n\n/*\n Types exports.\n*/\nexport * from './types';\n", "/*!\nTurbo 8.0.5\nCopyright \u00A9 2024 37signals LLC\n */\n/**\n * The MIT License (MIT)\n *\n * Copyright (c) 2019 Javan Makhmali\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 deal\n * in the Software without restriction, including without limitation the rights\n * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n * 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 NONINFRINGEMENT. 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 FROM,\n * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n * THE SOFTWARE.\n */\n\n(function (prototype) {\n if (typeof prototype.requestSubmit == \"function\") return\n\n prototype.requestSubmit = function (submitter) {\n if (submitter) {\n validateSubmitter(submitter, this);\n submitter.click();\n } else {\n submitter = document.createElement(\"input\");\n submitter.type = \"submit\";\n submitter.hidden = true;\n this.appendChild(submitter);\n submitter.click();\n this.removeChild(submitter);\n }\n };\n\n function validateSubmitter(submitter, form) {\n submitter instanceof HTMLElement || raise(TypeError, \"parameter 1 is not of type 'HTMLElement'\");\n submitter.type == \"submit\" || raise(TypeError, \"The specified element is not a submit button\");\n submitter.form == form ||\n raise(DOMException, \"The specified element is not owned by this form element\", \"NotFoundError\");\n }\n\n function raise(errorConstructor, message, name) {\n throw new errorConstructor(\"Failed to execute 'requestSubmit' on 'HTMLFormElement': \" + message + \".\", name)\n }\n})(HTMLFormElement.prototype);\n\nconst submittersByForm = new WeakMap();\n\nfunction findSubmitterFromClickTarget(target) {\n const element = target instanceof Element ? target : target instanceof Node ? target.parentElement : null;\n const candidate = element ? element.closest(\"input, button\") : null;\n return candidate?.type == \"submit\" ? candidate : null\n}\n\nfunction clickCaptured(event) {\n const submitter = findSubmitterFromClickTarget(event.target);\n\n if (submitter && submitter.form) {\n submittersByForm.set(submitter.form, submitter);\n }\n}\n\n(function () {\n if (\"submitter\" in Event.prototype) return\n\n let prototype = window.Event.prototype;\n // Certain versions of Safari 15 have a bug where they won't\n // populate the submitter. This hurts TurboDrive's enable/disable detection.\n // See https://bugs.webkit.org/show_bug.cgi?id=229660\n if (\"SubmitEvent\" in window) {\n const prototypeOfSubmitEvent = window.SubmitEvent.prototype;\n\n if (/Apple Computer/.test(navigator.vendor) && !(\"submitter\" in prototypeOfSubmitEvent)) {\n prototype = prototypeOfSubmitEvent;\n } else {\n return // polyfill not needed\n }\n }\n\n addEventListener(\"click\", clickCaptured, true);\n\n Object.defineProperty(prototype, \"submitter\", {\n get() {\n if (this.type == \"submit\" && this.target instanceof HTMLFormElement) {\n return submittersByForm.get(this.target)\n }\n }\n });\n})();\n\nconst FrameLoadingStyle = {\n eager: \"eager\",\n lazy: \"lazy\"\n};\n\n/**\n * Contains a fragment of HTML which is updated based on navigation within\n * it (e.g. via links or form submissions).\n *\n * @customElement turbo-frame\n * @example\n * <turbo-frame id=\"messages\">\n * <a href=\"/messages/expanded\">\n * Show all expanded messages in this frame.\n * </a>\n *\n * <form action=\"/messages\">\n * Show response from this form within this frame.\n * </form>\n * </turbo-frame>\n */\nclass FrameElement extends HTMLElement {\n static delegateConstructor = undefined\n\n loaded = Promise.resolve()\n\n static get observedAttributes() {\n return [\"disabled\", \"loading\", \"src\"]\n }\n\n constructor() {\n super();\n this.delegate = new FrameElement.delegateConstructor(this);\n }\n\n connectedCallback() {\n this.delegate.connect();\n }\n\n disconnectedCallback() {\n this.delegate.disconnect();\n }\n\n reload() {\n return this.delegate.sourceURLReloaded()\n }\n\n attributeChangedCallback(name) {\n if (name == \"loading\") {\n this.delegate.loadingStyleChanged();\n } else if (name == \"src\") {\n this.delegate.sourceURLChanged();\n } else if (name == \"disabled\") {\n this.delegate.disabledChanged();\n }\n }\n\n /**\n * Gets the URL to lazily load source HTML from\n */\n get src() {\n return this.getAttribute(\"src\")\n }\n\n /**\n * Sets the URL to lazily load source HTML from\n */\n set src(value) {\n if (value) {\n this.setAttribute(\"src\", value);\n } else {\n this.removeAttribute(\"src\");\n }\n }\n\n /**\n * Gets the refresh mode for the frame.\n */\n get refresh() {\n return this.getAttribute(\"refresh\")\n }\n\n /**\n * Sets the refresh mode for the frame.\n */\n set refresh(value) {\n if (value) {\n this.setAttribute(\"refresh\", value);\n } else {\n this.removeAttribute(\"refresh\");\n }\n }\n\n /**\n * Determines if the element is loading\n */\n get loading() {\n return frameLoadingStyleFromString(this.getAttribute(\"loading\") || \"\")\n }\n\n /**\n * Sets the value of if the element is loading\n */\n set loading(value) {\n if (value) {\n this.setAttribute(\"loading\", value);\n } else {\n this.removeAttribute(\"loading\");\n }\n }\n\n /**\n * Gets the disabled state of the frame.\n *\n * If disabled, no requests will be intercepted by the frame.\n */\n get disabled() {\n return this.hasAttribute(\"disabled\")\n }\n\n /**\n * Sets the disabled state of the frame.\n *\n * If disabled, no requests will be intercepted by the frame.\n */\n set disabled(value) {\n if (value) {\n this.setAttribute(\"disabled\", \"\");\n } else {\n this.removeAttribute(\"disabled\");\n }\n }\n\n /**\n * Gets the autoscroll state of the frame.\n *\n * If true, the frame will be scrolled into view automatically on update.\n */\n get autoscroll() {\n return this.hasAttribute(\"autoscroll\")\n }\n\n /**\n * Sets the autoscroll state of the frame.\n *\n * If true, the frame will be scrolled into view automatically on update.\n */\n set autoscroll(value) {\n if (value) {\n this.setAttribute(\"autoscroll\", \"\");\n } else {\n this.removeAttribute(\"autoscroll\");\n }\n }\n\n /**\n * Determines if the element has finished loading\n */\n get complete() {\n return !this.delegate.isLoading\n }\n\n /**\n * Gets the active state of the frame.\n *\n * If inactive, source changes will not be observed.\n */\n get isActive() {\n return this.ownerDocument === document && !this.isPreview\n }\n\n /**\n * Sets the active state of the frame.\n *\n * If inactive, source changes will not be observed.\n */\n get isPreview() {\n return this.ownerDocument?.documentElement?.hasAttribute(\"data-turbo-preview\")\n }\n}\n\nfunction frameLoadingStyleFromString(style) {\n switch (style.toLowerCase()) {\n case \"lazy\":\n return FrameLoadingStyle.lazy\n default:\n return FrameLoadingStyle.eager\n }\n}\n\nfunction expandURL(locatable) {\n return new URL(locatable.toString(), document.baseURI)\n}\n\nfunction getAnchor(url) {\n let anchorMatch;\n if (url.hash) {\n return url.hash.slice(1)\n // eslint-disable-next-line no-cond-assign\n } else if ((anchorMatch = url.href.match(/#(.*)$/))) {\n return anchorMatch[1]\n }\n}\n\nfunction getAction$1(form, submitter) {\n const action = submitter?.getAttribute(\"formaction\") || form.getAttribute(\"action\") || form.action;\n\n return expandURL(action)\n}\n\nfunction getExtension(url) {\n return (getLastPathComponent(url).match(/\\.[^.]*$/) || [])[0] || \"\"\n}\n\nfunction isHTML(url) {\n return !!getExtension(url).match(/^(?:|\\.(?:htm|html|xhtml|php))$/)\n}\n\nfunction isPrefixedBy(baseURL, url) {\n const prefix = getPrefix(url);\n return baseURL.href === expandURL(prefix).href || baseURL.href.startsWith(prefix)\n}\n\nfunction locationIsVisitable(location, rootLocation) {\n return isPrefixedBy(location, rootLocation) && isHTML(location)\n}\n\nfunction getRequestURL(url) {\n const anchor = getAnchor(url);\n return anchor != null ? url.href.slice(0, -(anchor.length + 1)) : url.href\n}\n\nfunction toCacheKey(url) {\n return getRequestURL(url)\n}\n\nfunction urlsAreEqual(left, right) {\n return expandURL(left).href == expandURL(right).href\n}\n\nfunction getPathComponents(url) {\n return url.pathname.split(\"/\").slice(1)\n}\n\nfunction getLastPathComponent(url) {\n return getPathComponents(url).slice(-1)[0]\n}\n\nfunction getPrefix(url) {\n return addTrailingSlash(url.origin + url.pathname)\n}\n\nfunction addTrailingSlash(value) {\n return value.endsWith(\"/\") ? value : value + \"/\"\n}\n\nclass FetchResponse {\n constructor(response) {\n this.response = response;\n }\n\n get succeeded() {\n return this.response.ok\n }\n\n get failed() {\n return !this.succeeded\n }\n\n get clientError() {\n return this.statusCode >= 400 && this.statusCode <= 499\n }\n\n get serverError() {\n return this.statusCode >= 500 && this.statusCode <= 599\n }\n\n get redirected() {\n return this.response.redirected\n }\n\n get location() {\n return expandURL(this.response.url)\n }\n\n get isHTML() {\n return this.contentType && this.contentType.match(/^(?:text\\/([^\\s;,]+\\b)?html|application\\/xhtml\\+xml)\\b/)\n }\n\n get statusCode() {\n return this.response.status\n }\n\n get contentType() {\n return this.header(\"Content-Type\")\n }\n\n get responseText() {\n return this.response.clone().text()\n }\n\n get responseHTML() {\n if (this.isHTML) {\n return this.response.clone().text()\n } else {\n return Promise.resolve(undefined)\n }\n }\n\n header(name) {\n return this.response.headers.get(name)\n }\n}\n\nfunction activateScriptElement(element) {\n if (element.getAttribute(\"data-turbo-eval\") == \"false\") {\n return element\n } else {\n const createdScriptElement = document.createElement(\"script\");\n const cspNonce = getMetaContent(\"csp-nonce\");\n if (cspNonce) {\n createdScriptElement.nonce = cspNonce;\n }\n createdScriptElement.textContent = element.textContent;\n createdScriptElement.async = false;\n copyElementAttributes(createdScriptElement, element);\n return createdScriptElement\n }\n}\n\nfunction copyElementAttributes(destinationElement, sourceElement) {\n for (const { name, value } of sourceElement.attributes) {\n destinationElement.setAttribute(name, value);\n }\n}\n\nfunction createDocumentFragment(html) {\n const template = document.createElement(\"template\");\n template.innerHTML = html;\n return template.content\n}\n\nfunction dispatch(eventName, { target, cancelable, detail } = {}) {\n const event = new CustomEvent(eventName, {\n cancelable,\n bubbles: true,\n composed: true,\n detail\n });\n\n if (target && target.isConnected) {\n target.dispatchEvent(event);\n } else {\n document.documentElement.dispatchEvent(event);\n }\n\n return event\n}\n\nfunction nextRepaint() {\n if (document.visibilityState === \"hidden\") {\n return nextEventLoopTick()\n } else {\n return nextAnimationFrame()\n }\n}\n\nfunction nextAnimationFrame() {\n return new Promise((resolve) => requestAnimationFrame(() => resolve()))\n}\n\nfunction nextEventLoopTick() {\n return new Promise((resolve) => setTimeout(() => resolve(), 0))\n}\n\nfunction nextMicrotask() {\n return Promise.resolve()\n}\n\nfunction parseHTMLDocument(html = \"\") {\n return new DOMParser().parseFromString(html, \"text/html\")\n}\n\nfunction unindent(strings, ...values) {\n const lines = interpolate(strings, values).replace(/^\\n/, \"\").split(\"\\n\");\n const match = lines[0].match(/^\\s+/);\n const indent = match ? match[0].length : 0;\n return lines.map((line) => line.slice(indent)).join(\"\\n\")\n}\n\nfunction interpolate(strings, values) {\n return strings.reduce((result, string, i) => {\n const value = values[i] == undefined ? \"\" : values[i];\n return result + string + value\n }, \"\")\n}\n\nfunction uuid() {\n return Array.from({ length: 36 })\n .map((_, i) => {\n if (i == 8 || i == 13 || i == 18 || i == 23) {\n return \"-\"\n } else if (i == 14) {\n return \"4\"\n } else if (i == 19) {\n return (Math.floor(Math.random() * 4) + 8).toString(16)\n } else {\n return Math.floor(Math.random() * 15).toString(16)\n }\n })\n .join(\"\")\n}\n\nfunction getAttribute(attributeName, ...elements) {\n for (const value of elements.map((element) => element?.getAttribute(attributeName))) {\n if (typeof value == \"string\") return value\n }\n\n return null\n}\n\nfunction hasAttribute(attributeName, ...elements) {\n return elements.some((element) => element && element.hasAttribute(attributeName))\n}\n\nfunction markAsBusy(...elements) {\n for (const element of elements) {\n if (element.localName == \"turbo-frame\") {\n element.setAttribute(\"busy\", \"\");\n }\n element.setAttribute(\"aria-busy\", \"true\");\n }\n}\n\nfunction clearBusyState(...elements) {\n for (const element of elements) {\n if (element.localName == \"turbo-frame\") {\n element.removeAttribute(\"busy\");\n }\n\n element.removeAttribute(\"aria-busy\");\n }\n}\n\nfunction waitForLoad(element, timeoutInMilliseconds = 2000) {\n return new Promise((resolve) => {\n const onComplete = () => {\n element.removeEventListener(\"error\", onComplete);\n element.removeEventListener(\"load\", onComplete);\n resolve();\n };\n\n element.addEventListener(\"load\", onComplete, { once: true });\n element.addEventListener(\"error\", onComplete, { once: true });\n setTimeout(resolve, timeoutInMilliseconds);\n })\n}\n\nfunction getHistoryMethodForAction(action) {\n switch (action) {\n case \"replace\":\n return history.replaceState\n case \"advance\":\n case \"restore\":\n return history.pushState\n }\n}\n\nfunction isAction(action) {\n return action == \"advance\" || action == \"replace\" || action == \"restore\"\n}\n\nfunction getVisitAction(...elements) {\n const action = getAttribute(\"data-turbo-action\", ...elements);\n\n return isAction(action) ? action : null\n}\n\nfunction getMetaElement(name) {\n return document.querySelector(`meta[name=\"${name}\"]`)\n}\n\nfunction getMetaContent(name) {\n const element = getMetaElement(name);\n return element && element.content\n}\n\nfunction setMetaContent(name, content) {\n let element = getMetaElement(name);\n\n if (!element) {\n element = document.createElement(\"meta\");\n element.setAttribute(\"name\", name);\n\n document.head.appendChild(element);\n }\n\n element.setAttribute(\"content\", content);\n\n return element\n}\n\nfunction findClosestRecursively(element, selector) {\n if (element instanceof Element) {\n return (\n element.closest(selector) || findClosestRecursively(element.assignedSlot || element.getRootNode()?.host, selector)\n )\n }\n}\n\nfunction elementIsFocusable(element) {\n const inertDisabledOrHidden = \"[inert], :disabled, [hidden], details:not([open]), dialog:not([open])\";\n\n return !!element && element.closest(inertDisabledOrHidden) == null && typeof element.focus == \"function\"\n}\n\nfunction queryAutofocusableElement(elementOrDocumentFragment) {\n return Array.from(elementOrDocumentFragment.querySelectorAll(\"[autofocus]\")).find(elementIsFocusable)\n}\n\nasync function around(callback, reader) {\n const before = reader();\n\n callback();\n\n await nextAnimationFrame();\n\n const after = reader();\n\n return [before, after]\n}\n\nfunction doesNotTargetIFrame(name) {\n if (name === \"_blank\") {\n return false\n } else if (name) {\n for (const element of document.getElementsByName(name)) {\n if (element instanceof HTMLIFrameElement) return false\n }\n\n return true\n } else {\n return true\n }\n}\n\nfunction findLinkFromClickTarget(target) {\n return findClosestRecursively(target, \"a[href]:not([target^=_]):not([download])\")\n}\n\nfunction getLocationForLink(link) {\n return expandURL(link.getAttribute(\"href\") || \"\")\n}\n\nfunction debounce(fn, delay) {\n let timeoutId = null;\n\n return (...args) => {\n const callback = () => fn.apply(this, args);\n clearTimeout(timeoutId);\n timeoutId = setTimeout(callback, delay);\n }\n}\n\nclass LimitedSet extends Set {\n constructor(maxSize) {\n super();\n this.maxSize = maxSize;\n }\n\n add(value) {\n if (this.size >= this.maxSize) {\n const iterator = this.values();\n const oldestValue = iterator.next().value;\n this.delete(oldestValue);\n }\n super.add(value);\n }\n}\n\nconst recentRequests = new LimitedSet(20);\n\nconst nativeFetch = window.fetch;\n\nfunction fetchWithTurboHeaders(url, options = {}) {\n const modifiedHeaders = new Headers(options.headers || {});\n const requestUID = uuid();\n recentRequests.add(requestUID);\n modifiedHeaders.append(\"X-Turbo-Request-Id\", requestUID);\n\n return nativeFetch(url, {\n ...options,\n headers: modifiedHeaders\n })\n}\n\nfunction fetchMethodFromString(method) {\n switch (method.toLowerCase()) {\n case \"get\":\n return FetchMethod.get\n case \"post\":\n return FetchMethod.post\n case \"put\":\n return FetchMethod.put\n case \"patch\":\n return FetchMethod.patch\n case \"delete\":\n return FetchMethod.delete\n }\n}\n\nconst FetchMethod = {\n get: \"get\",\n post: \"post\",\n put: \"put\",\n patch: \"patch\",\n delete: \"delete\"\n};\n\nfunction fetchEnctypeFromString(encoding) {\n switch (encoding.toLowerCase()) {\n case FetchEnctype.multipart:\n return FetchEnctype.multipart\n case FetchEnctype.plain:\n return FetchEnctype.plain\n default:\n return FetchEnctype.urlEncoded\n }\n}\n\nconst FetchEnctype = {\n urlEncoded: \"application/x-www-form-urlencoded\",\n multipart: \"multipart/form-data\",\n plain: \"text/plain\"\n};\n\nclass FetchRequest {\n abortController = new AbortController()\n #resolveRequestPromise = (_value) => {}\n\n constructor(delegate, method, location, requestBody = new URLSearchParams(), target = null, enctype = FetchEnctype.urlEncoded) {\n const [url, body] = buildResourceAndBody(expandURL(location), method, requestBody, enctype);\n\n this.delegate = delegate;\n this.url = url;\n this.target = target;\n this.fetchOptions = {\n credentials: \"same-origin\",\n redirect: \"follow\",\n method: method.toUpperCase(),\n headers: { ...this.defaultHeaders },\n body: body,\n signal: this.abortSignal,\n referrer: this.delegate.referrer?.href\n };\n this.enctype = enctype;\n }\n\n get method() {\n return this.fetchOptions.method\n }\n\n set method(value) {\n const fetchBody = this.isSafe ? this.url.searchParams : this.fetchOptions.body || new FormData();\n const fetchMethod = fetchMethodFromString(value) || FetchMethod.get;\n\n this.url.search = \"\";\n\n const [url, body] = buildResourceAndBody(this.url, fetchMethod, fetchBody, this.enctype);\n\n this.url = url;\n this.fetchOptions.body = body;\n this.fetchOptions.method = fetchMethod.toUpperCase();\n }\n\n get headers() {\n return this.fetchOptions.headers\n }\n\n set headers(value) {\n this.fetchOptions.headers = value;\n }\n\n get body() {\n if (this.isSafe) {\n return this.url.searchParams\n } else {\n return this.fetchOptions.body\n }\n }\n\n set body(value) {\n this.fetchOptions.body = value;\n }\n\n get location() {\n return this.url\n }\n\n get params() {\n return this.url.searchParams\n }\n\n get entries() {\n return this.body ? Array.from(this.body.entries()) : []\n }\n\n cancel() {\n this.abortController.abort();\n }\n\n async perform() {\n const { fetchOptions } = this;\n this.delegate.prepareRequest(this);\n const event = await this.#allowRequestToBeIntercepted(fetchOptions);\n try {\n this.delegate.requestStarted(this);\n\n if (event.detail.fetchRequest) {\n this.response = event.detail.fetchRequest.response;\n } else {\n this.response = fetchWithTurboHeaders(this.url.href, fetchOptions);\n }\n\n const response = await this.response;\n return await this.receive(response)\n } catch (error) {\n if (error.name !== \"AbortError\") {\n if (this.#willDelegateErrorHandling(error)) {\n this.delegate.requestErrored(this, error);\n }\n throw error\n }\n } finally {\n this.delegate.requestFinished(this);\n }\n }\n\n async receive(response) {\n const fetchResponse = new FetchResponse(response);\n const event = dispatch(\"turbo:before-fetch-response\", {\n cancelable: true,\n detail: { fetchResponse },\n target: this.target\n });\n if (event.defaultPrevented) {\n this.delegate.requestPreventedHandlingResponse(this, fetchResponse);\n } else if (fetchResponse.succeeded) {\n this.delegate.requestSucceededWithResponse(this, fetchResponse);\n } else {\n this.delegate.requestFailedWithResponse(this, fetchResponse);\n }\n return fetchResponse\n }\n\n get defaultHeaders() {\n return {\n Accept: \"text/html, application/xhtml+xml\"\n }\n }\n\n get isSafe() {\n return isSafe(this.method)\n }\n\n get abortSignal() {\n return this.abortController.signal\n }\n\n acceptResponseType(mimeType) {\n this.headers[\"Accept\"] = [mimeType, this.headers[\"Accept\"]].join(\", \");\n }\n\n async #allowRequestToBeIntercepted(fetchOptions) {\n const requestInterception = new Promise((resolve) => (this.#resolveRequestPromise = resolve));\n const event = dispatch(\"turbo:before-fetch-request\", {\n cancelable: true,\n detail: {\n fetchOptions,\n url: this.url,\n resume: this.#resolveRequestPromise\n },\n target: this.target\n });\n this.url = event.detail.url;\n if (event.defaultPrevented) await requestInterception;\n\n return event\n }\n\n #willDelegateErrorHandling(error) {\n const event = dispatch(\"turbo:fetch-request-error\", {\n target: this.target,\n cancelable: true,\n detail: { request: this, error: error }\n });\n\n return !event.defaultPrevented\n }\n}\n\nfunction isSafe(fetchMethod) {\n return fetchMethodFromString(fetchMethod) == FetchMethod.get\n}\n\nfunction buildResourceAndBody(resource, method, requestBody, enctype) {\n const searchParams =\n Array.from(requestBody).length > 0 ? new URLSearchParams(entriesExcludingFiles(requestBody)) : resource.searchParams;\n\n if (isSafe(method)) {\n return [mergeIntoURLSearchParams(resource, searchParams), null]\n } else if (enctype == FetchEnctype.urlEncoded) {\n return [resource, searchParams]\n } else {\n return [resource, requestBody]\n }\n}\n\nfunction entriesExcludingFiles(requestBody) {\n const entries = [];\n\n for (const [name, value] of requestBody) {\n if (value instanceof File) continue\n else entries.push([name, value]);\n }\n\n return entries\n}\n\nfunction mergeIntoURLSearchParams(url, requestBody) {\n const searchParams = new URLSearchParams(entriesExcludingFiles(requestBody));\n\n url.search = searchParams.toString();\n\n return url\n}\n\nclass AppearanceObserver {\n started = false\n\n constructor(delegate, element) {\n this.delegate = delegate;\n this.element = element;\n this.intersectionObserver = new IntersectionObserver(this.intersect);\n }\n\n start() {\n if (!this.started) {\n this.started = true;\n this.intersectionObserver.observe(this.element);\n }\n }\n\n stop() {\n if (this.started) {\n this.started = false;\n this.intersectionObserver.unobserve(this.element);\n }\n }\n\n intersect = (entries) => {\n const lastEntry = entries.slice(-1)[0];\n if (lastEntry?.isIntersecting) {\n this.delegate.elementAppearedInViewport(this.element);\n }\n }\n}\n\nclass StreamMessage {\n static contentType = \"text/vnd.turbo-stream.html\"\n\n static wrap(message) {\n if (typeof message == \"string\") {\n return new this(createDocumentFragment(message))\n } else {\n return message\n }\n }\n\n constructor(fragment) {\n this.fragment = importStreamElements(fragment);\n }\n}\n\nfunction importStreamElements(fragment) {\n for (const element of fragment.querySelectorAll(\"turbo-stream\")) {\n const streamElement = document.importNode(element, true);\n\n for (const inertScriptElement of streamElement.templateElement.content.querySelectorAll(\"script\")) {\n inertScriptElement.replaceWith(activateScriptElement(inertScriptElement));\n }\n\n element.replaceWith(streamElement);\n }\n\n return fragment\n}\n\nconst PREFETCH_DELAY = 100;\n\nclass PrefetchCache {\n #prefetchTimeout = null\n #prefetched = null\n\n get(url) {\n if (this.#prefetched && this.#prefetched.url === url && this.#prefetched.expire > Date.now()) {\n return this.#prefetched.request\n }\n }\n\n setLater(url, request, ttl) {\n this.clear();\n\n this.#prefetchTimeout = setTimeout(() => {\n request.perform();\n this.set(url, request, ttl);\n this.#prefetchTimeout = null;\n }, PREFETCH_DELAY);\n }\n\n set(url, request, ttl) {\n this.#prefetched = { url, request, expire: new Date(new Date().getTime() + ttl) };\n }\n\n clear() {\n if (this.#prefetchTimeout) clearTimeout(this.#prefetchTimeout);\n this.#prefetched = null;\n }\n}\n\nconst cacheTtl = 10 * 1000;\nconst prefetchCache = new PrefetchCache();\n\nconst FormSubmissionState = {\n initialized: \"initialized\",\n requesting: \"requesting\",\n waiting: \"waiting\",\n receiving: \"receiving\",\n stopping: \"stopping\",\n stopped: \"stopped\"\n};\n\nclass FormSubmission {\n state = FormSubmissionState.initialized\n\n static confirmMethod(message, _element, _submitter) {\n return Promise.resolve(confirm(message))\n }\n\n constructor(delegate, formElement, submitter, mustRedirect = false) {\n const method = getMethod(formElement, submitter);\n const action = getAction(getFormAction(formElement, submitter), method);\n const body = buildFormData(formElement, submitter);\n const enctype = getEnctype(formElement, submitter);\n\n this.delegate = delegate;\n this.formElement = formElement;\n this.submitter = submitter;\n this.fetchRequest = new FetchRequest(this, method, action, body, formElement, enctype);\n this.mustRedirect = mustRedirect;\n }\n\n get method() {\n return this.fetchRequest.method\n }\n\n set method(value) {\n this.fetchRequest.method = value;\n }\n\n get action() {\n return this.fetchRequest.url.toString()\n }\n\n set action(value) {\n this.fetchRequest.url = expandURL(value);\n }\n\n get body() {\n return this.fetchRequest.body\n }\n\n get enctype() {\n return this.fetchRequest.enctype\n }\n\n get isSafe() {\n return this.fetchRequest.isSafe\n }\n\n get location() {\n return this.fetchRequest.url\n }\n\n // The submission process\n\n async start() {\n const { initialized, requesting } = FormSubmissionState;\n const confirmationMessage = getAttribute(\"data-turbo-confirm\", this.submitter, this.formElement);\n\n if (typeof confirmationMessage === \"string\") {\n const answer = await FormSubmission.confirmMethod(confirmationMessage, this.formElement, this.submitter);\n if (!answer) {\n return\n }\n }\n\n if (this.state == initialized) {\n this.state = requesting;\n return this.fetchRequest.perform()\n }\n }\n\n stop() {\n const { stopping, stopped } = FormSubmissionState;\n if (this.state != stopping && this.state != stopped) {\n this.state = stopping;\n this.fetchRequest.cancel();\n return true\n }\n }\n\n // Fetch request delegate\n\n prepareRequest(request) {\n if (!request.isSafe) {\n const token = getCookieValue(getMetaContent(\"csrf-param\")) || getMetaContent(\"csrf-token\");\n if (token) {\n request.headers[\"X-CSRF-Token\"] = token;\n }\n }\n\n if (this.requestAcceptsTurboStreamResponse(request)) {\n request.acceptResponseType(StreamMessage.contentType);\n }\n }\n\n requestStarted(_request) {\n this.state = FormSubmissionState.waiting;\n this.submitter?.setAttribute(\"disabled\", \"\");\n this.setSubmitsWith();\n markAsBusy(this.formElement);\n dispatch(\"turbo:submit-start\", {\n target: this.formElement,\n detail: { formSubmission: this }\n });\n this.delegate.formSubmissionStarted(this);\n }\n\n requestPreventedHandlingResponse(request, response) {\n prefetchCache.clear();\n\n this.result = { success: response.succeeded, fetchResponse: response };\n }\n\n requestSucceededWithResponse(request, response) {\n if (response.clientError || response.serverError) {\n this.delegate.formSubmissionFailedWithResponse(this, response);\n return\n }\n\n prefetchCache.clear();\n\n if (this.requestMustRedirect(request) && responseSucceededWithoutRedirect(response)) {\n const error = new Error(\"Form responses must redirect to another location\");\n this.delegate.formSubmissionErrored(this, error);\n } else {\n this.state = FormSubmissionState.receiving;\n this.result = { success: true, fetchResponse: response };\n this.delegate.formSubmissionSucceededWithResponse(this, response);\n }\n }\n\n requestFailedWithResponse(request, response) {\n this.result = { success: false, fetchResponse: response };\n this.delegate.formSubmissionFailedWithResponse(this, response);\n }\n\n requestErrored(request, error) {\n this.result = { success: false, error };\n this.delegate.formSubmissionErrored(this, error);\n }\n\n requestFinished(_request) {\n this.state = FormSubmissionState.stopped;\n this.submitter?.removeAttribute(\"disabled\");\n this.resetSubmitterText();\n clearBusyState(this.formElement);\n dispatch(\"turbo:submit-end\", {\n target: this.formElement,\n detail: { formSubmission: this, ...this.result }\n });\n this.delegate.formSubmissionFinished(this);\n }\n\n // Private\n\n setSubmitsWith() {\n if (!this.submitter || !this.submitsWith) return\n\n if (this.submitter.matches(\"button\")) {\n this.originalSubmitText = this.submitter.innerHTML;\n this.submitter.innerHTML = this.submitsWith;\n } else if (this.submitter.matches(\"input\")) {\n const input = this.submitter;\n this.originalSubmitText = input.value;\n input.value = this.submitsWith;\n }\n }\n\n resetSubmitterText() {\n if (!this.submitter || !this.originalSubmitText) return\n\n if (this.submitter.matches(\"button\")) {\n this.submitter.innerHTML = this.originalSubmitText;\n } else if (this.submitter.matches(\"input\")) {\n const input = this.submitter;\n input.value = this.originalSubmitText;\n }\n }\n\n requestMustRedirect(request) {\n return !request.isSafe && this.mustRedirect\n }\n\n requestAcceptsTurboStreamResponse(request) {\n return !request.isSafe || hasAttribute(\"data-turbo-stream\", this.submitter, this.formElement)\n }\n\n get submitsWith() {\n return this.submitter?.getAttribute(\"data-turbo-submits-with\")\n }\n}\n\nfunction buildFormData(formElement, submitter) {\n const formData = new FormData(formElement);\n const name = submitter?.getAttribute(\"name\");\n const value = submitter?.getAttribute(\"value\");\n\n if (name) {\n formData.append(name, value || \"\");\n }\n\n return formData\n}\n\nfunction getCookieValue(cookieName) {\n if (cookieName != null) {\n const cookies = document.cookie ? document.cookie.split(\"; \") : [];\n const cookie = cookies.find((cookie) => cookie.startsWith(cookieName));\n if (cookie) {\n const value = cookie.split(\"=\").slice(1).join(\"=\");\n return value ? decodeURIComponent(value) : undefined\n }\n }\n}\n\nfunction responseSucceededWithoutRedirect(response) {\n return response.statusCode == 200 && !response.redirected\n}\n\nfunction getFormAction(formElement, submitter) {\n const formElementAction = typeof formElement.action === \"string\" ? formElement.action : null;\n\n if (submitter?.hasAttribute(\"formaction\")) {\n return submitter.getAttribute(\"formaction\") || \"\"\n } else {\n return formElement.getAttribute(\"action\") || formElementAction || \"\"\n }\n}\n\nfunction getAction(formAction, fetchMethod) {\n const action = expandURL(formAction);\n\n if (isSafe(fetchMethod)) {\n action.search = \"\";\n }\n\n return action\n}\n\nfunction getMethod(formElement, submitter) {\n const method = submitter?.getAttribute(\"formmethod\") || formElement.getAttribute(\"method\") || \"\";\n return fetchMethodFromString(method.toLowerCase()) || FetchMethod.get\n}\n\nfunction getEnctype(formElement, submitter) {\n return fetchEnctypeFromString(submitter?.getAttribute(\"formenctype\") || formElement.enctype)\n}\n\nclass Snapshot {\n constructor(element) {\n this.element = element;\n }\n\n get activeElement() {\n return this.element.ownerDocument.activeElement\n }\n\n get children() {\n return [...this.element.children]\n }\n\n hasAnchor(anchor) {\n return this.getElementForAnchor(anchor) != null\n }\n\n getElementForAnchor(anchor) {\n return anchor ? this.element.querySelector(`[id='${anchor}'], a[name='${anchor}']`) : null\n }\n\n get isConnected() {\n return this.element.isConnected\n }\n\n get firstAutofocusableElement() {\n return queryAutofocusableElement(this.element)\n }\n\n get permanentElements() {\n return queryPermanentElementsAll(this.element)\n }\n\n getPermanentElementById(id) {\n return getPermanentElementById(this.element, id)\n }\n\n getPermanentElementMapForSnapshot(snapshot) {\n const permanentElementMap = {};\n\n for (const currentPermanentElement of this.permanentElements) {\n const { id } = currentPermanentElement;\n const newPermanentElement = snapshot.getPermanentElementById(id);\n if (newPermanentElement) {\n permanentElementMap[id] = [currentPermanentElement, newPermanentElement];\n }\n }\n\n return permanentElementMap\n }\n}\n\nfunction getPermanentElementById(node, id) {\n return node.querySelector(`#${id}[data-turbo-permanent]`)\n}\n\nfunction queryPermanentElementsAll(node) {\n return node.querySelectorAll(\"[id][data-turbo-permanent]\")\n}\n\nclass FormSubmitObserver {\n started = false\n\n constructor(delegate, eventTarget) {\n this.delegate = delegate;\n this.eventTarget = eventTarget;\n }\n\n start() {\n if (!this.started) {\n this.eventTarget.addEventListener(\"submit\", this.submitCaptured, true);\n this.started = true;\n }\n }\n\n stop() {\n if (this.started) {\n this.eventTarget.removeEventListener(\"submit\", this.submitCaptured, true);\n this.started = false;\n }\n }\n\n submitCaptured = () => {\n this.eventTarget.removeEventListener(\"submit\", this.submitBubbled, false);\n this.eventTarget.addEventListener(\"submit\", this.submitBubbled, false);\n }\n\n submitBubbled = (event) => {\n if (!event.defaultPrevented) {\n const form = event.target instanceof HTMLFormElement ? event.target : undefined;\n const submitter = event.submitter || undefined;\n\n if (\n form &&\n submissionDoesNotDismissDialog(form, submitter) &&\n submissionDoesNotTargetIFrame(form, submitter) &&\n this.delegate.willSubmitForm(form, submitter)\n ) {\n event.preventDefault();\n event.stopImmediatePropagation();\n this.delegate.formSubmitted(form, submitter);\n }\n }\n }\n}\n\nfunction submissionDoesNotDismissDialog(form, submitter) {\n const method = submitter?.getAttribute(\"formmethod\") || form.getAttribute(\"method\");\n\n return method != \"dialog\"\n}\n\nfunction submissionDoesNotTargetIFrame(form, submitter) {\n const target = submitter?.getAttribute(\"formtarget\") || form.getAttribute(\"target\");\n\n return doesNotTargetIFrame(target)\n}\n\nclass View {\n #resolveRenderPromise = (_value) => {}\n #resolveInterceptionPromise = (_value) => {}\n\n constructor(delegate, element) {\n this.delegate = delegate;\n this.element = element;\n }\n\n // Scrolling\n\n scrollToAnchor(anchor) {\n const element = this.snapshot.getElementForAnchor(anchor);\n if (element) {\n this.scrollToElement(element);\n this.focusElement(element);\n } else {\n this.scrollToPosition({ x: 0, y: 0 });\n }\n }\n\n scrollToAnchorFromLocation(location) {\n this.scrollToAnchor(getAnchor(location));\n }\n\n scrollToElement(element) {\n element.scrollIntoView();\n }\n\n focusElement(element) {\n if (element instanceof HTMLElement) {\n if (element.hasAttribute(\"tabindex\")) {\n element.focus();\n } else {\n element.setAttribute(\"tabindex\", \"-1\");\n element.focus();\n element.removeAttribute(\"tabindex\");\n }\n }\n }\n\n scrollToPosition({ x, y }) {\n this.scrollRoot.scrollTo(x, y);\n }\n\n scrollToTop() {\n this.scrollToPosition({ x: 0, y: 0 });\n }\n\n get scrollRoot() {\n return window\n }\n\n // Rendering\n\n async render(renderer) {\n const { isPreview, shouldRender, willRender, newSnapshot: snapshot } = renderer;\n\n // A workaround to ignore tracked element mismatch reloads when performing\n // a promoted Visit from a frame navigation\n const shouldInvalidate = willRender;\n\n if (shouldRender) {\n try {\n this.renderPromise = new Promise((resolve) => (this.#resolveRenderPromise = resolve));\n this.renderer = renderer;\n await this.prepareToRenderSnapshot(renderer);\n\n const renderInterception = new Promise((resolve) => (this.#resolveInterceptionPromise = resolve));\n const options = { resume: this.#resolveInterceptionPromise, render: this.renderer.renderElement, renderMethod: this.renderer.renderMethod };\n const immediateRender = this.delegate.allowsImmediateRender(snapshot, options);\n if (!immediateRender) await renderInterception;\n\n await this.renderSnapshot(renderer);\n this.delegate.viewRenderedSnapshot(snapshot, isPreview, this.renderer.renderMethod);\n this.delegate.preloadOnLoadLinksForView(this.element);\n this.finishRenderingSnapshot(renderer);\n } finally {\n delete this.renderer;\n this.#resolveRenderPromise(undefined);\n delete this.renderPromise;\n }\n } else if (shouldInvalidate) {\n this.invalidate(renderer.reloadReason);\n }\n }\n\n invalidate(reason) {\n this.delegate.viewInvalidated(reason);\n }\n\n async prepareToRenderSnapshot(renderer) {\n this.markAsPreview(renderer.isPreview);\n await renderer.prepareToRender();\n }\n\n markAsPreview(isPreview) {\n if (isPreview) {\n this.element.setAttribute(\"data-turbo-preview\", \"\");\n } else {\n this.element.removeAttribute(\"data-turbo-preview\");\n }\n }\n\n markVisitDirection(direction) {\n this.element.setAttribute(\"data-turbo-visit-direction\", direction);\n }\n\n unmarkVisitDirection() {\n this.element.removeAttribute(\"data-turbo-visit-direction\");\n }\n\n async renderSnapshot(renderer) {\n await renderer.render();\n }\n\n finishRenderingSnapshot(renderer) {\n renderer.finishRendering();\n }\n}\n\nclass FrameView extends View {\n missing() {\n this.element.innerHTML = `<strong class=\"turbo-frame-error\">Content missing</strong>`;\n }\n\n get snapshot() {\n return new Snapshot(this.element)\n }\n}\n\nclass LinkInterceptor {\n constructor(delegate, element) {\n this.delegate = delegate;\n this.element = element;\n }\n\n start() {\n this.element.addEventListener(\"click\", this.clickBubbled);\n document.addEventListener(\"turbo:click\", this.linkClicked);\n document.addEventListener(\"turbo:before-visit\", this.willVisit);\n }\n\n stop() {\n this.element.removeEventListener(\"click\", this.clickBubbled);\n document.removeEventListener(\"turbo:click\", this.linkClicked);\n document.removeEventListener(\"turbo:before-visit\", this.willVisit);\n }\n\n clickBubbled = (event) => {\n if (this.clickEventIsSignificant(event)) {\n this.clickEvent = event;\n } else {\n delete this.clickEvent;\n }\n }\n\n linkClicked = (event) => {\n if (this.clickEvent && this.clickEventIsSignificant(event)) {\n if (this.delegate.shouldInterceptLinkClick(event.target, event.detail.url, event.detail.originalEvent)) {\n this.clickEvent.preventDefault();\n event.preventDefault();\n this.delegate.linkClickIntercepted(event.target, event.detail.url, event.detail.originalEvent);\n }\n }\n delete this.clickEvent;\n }\n\n willVisit = (_event) => {\n delete this.clickEvent;\n }\n\n clickEventIsSignificant(event) {\n const target = event.composed ? event.target?.parentElement : event.target;\n const element = findLinkFromClickTarget(target) || target;\n\n return element instanceof Element && element.closest(\"turbo-frame, html\") == this.element\n }\n}\n\nclass LinkClickObserver {\n started = false\n\n constructor(delegate, eventTarget) {\n this.delegate = delegate;\n this.eventTarget = eventTarget;\n }\n\n start() {\n if (!this.started) {\n this.eventTarget.addEventListener(\"click\", this.clickCaptured, true);\n this.started = true;\n }\n }\n\n stop() {\n if (this.started) {\n this.eventTarget.removeEventListener(\"click\", this.clickCaptured, true);\n this.started = false;\n }\n }\n\n clickCaptured = () => {\n this.eventTarget.removeEventListener(\"click\", this.clickBubbled, false);\n this.eventTarget.addEventListener(\"click\", this.clickBubbled, false);\n }\n\n clickBubbled = (event) => {\n if (event instanceof MouseEvent && this.clickEventIsSignificant(event)) {\n const target = (event.composedPath && event.composedPath()[0]) || event.target;\n const link = findLinkFromClickTarget(target);\n if (link && doesNotTargetIFrame(link.target)) {\n const location = getLocationForLink(link);\n if (this.delegate.willFollowLinkToLocation(link, location, event)) {\n event.preventDefault();\n this.delegate.followedLinkToLocation(link, location);\n }\n }\n }\n }\n\n clickEventIsSignificant(event) {\n return !(\n (event.target && event.target.isContentEditable) ||\n event.defaultPrevented ||\n event.which > 1 ||\n event.altKey ||\n event.ctrlKey ||\n event.metaKey ||\n event.shiftKey\n )\n }\n}\n\nclass FormLinkClickObserver {\n constructor(delegate, element) {\n this.delegate = delegate;\n this.linkInterceptor = new LinkClickObserver(this, element);\n }\n\n start() {\n this.linkInterceptor.start();\n }\n\n stop() {\n this.linkInterceptor.stop();\n }\n\n // Link hover observer delegate\n\n canPrefetchRequestToLocation(link, location) {\n return false\n }\n\n prefetchAndCacheRequestToLocation(link, location) {\n return\n }\n\n // Link click observer delegate\n\n willFollowLinkToLocation(link, location, originalEvent) {\n return (\n this.delegate.willSubmitFormLinkToLocation(link, location, originalEvent) &&\n (link.hasAttribute(\"data-turbo-method\") || link.hasAttribute(\"data-turbo-stream\"))\n )\n }\n\n followedLinkToLocation(link, location) {\n const form = document.createElement(\"form\");\n\n const type = \"hidden\";\n for (const [name, value] of location.searchParams) {\n form.append(Object.assign(document.createElement(\"input\"), { type, name, value }));\n }\n\n const action = Object.assign(location, { search: \"\" });\n form.setAttribute(\"data-turbo\", \"true\");\n form.setAttribute(\"action\", action.href);\n form.setAttribute(\"hidden\", \"\");\n\n const method = link.getAttribute(\"data-turbo-method\");\n if (method) form.setAttribute(\"method\", method);\n\n const turboFrame = link.getAttribute(\"data-turbo-frame\");\n if (turboFrame) form.setAttribute(\"data-turbo-frame\", turboFrame);\n\n const turboAction = getVisitAction(link);\n if (turboAction) form.setAttribute(\"data-turbo-action\", turboAction);\n\n const turboConfirm = link.getAttribute(\"data-turbo-confirm\");\n if (turboConfirm) form.setAttribute(\"data-turbo-confirm\", turboConfirm);\n\n const turboStream = link.hasAttribute(\"data-turbo-stream\");\n if (turboStream) form.setAttribute(\"data-turbo-stream\", \"\");\n\n this.delegate.submittedFormLinkToLocation(link, location, form);\n\n document.body.appendChild(form);\n form.addEventListener(\"turbo:submit-end\", () => form.remove(), { once: true });\n requestAnimationFrame(() => form.requestSubmit());\n }\n}\n\nclass Bardo {\n static async preservingPermanentElements(delegate, permanentElementMap, callback) {\n const bardo = new this(delegate, permanentElementMap);\n bardo.enter();\n await callback();\n bardo.leave();\n }\n\n constructor(delegate, permanentElementMap) {\n this.delegate = delegate;\n this.permanentElementMap = permanentElementMap;\n }\n\n enter() {\n for (const id in this.permanentElementMap) {\n const [currentPermanentElement, newPermanentElement] = this.permanentElementMap[id];\n this.delegate.enteringBardo(currentPermanentElement, newPermanentElement);\n this.replaceNewPermanentElementWithPlaceholder(newPermanentElement);\n }\n }\n\n leave() {\n for (const id in this.permanentElementMap) {\n const [currentPermanentElement] = this.permanentElementMap[id];\n this.replaceCurrentPermanentElementWithClone(currentPermanentElement);\n this.replacePlaceholderWithPermanentElement(currentPermanentElement);\n this.delegate.leavingBardo(currentPermanentElement);\n }\n }\n\n replaceNewPermanentElementWithPlaceholder(permanentElement) {\n const placeholder = createPlaceholderForPermanentElement(permanentElement);\n permanentElement.replaceWith(placeholder);\n }\n\n replaceCurrentPermanentElementWithClone(permanentElement) {\n const clone = permanentElement.cloneNode(true);\n permanentElement.replaceWith(clone);\n }\n\n replacePlaceholderWithPermanentElement(permanentElement) {\n const placeholder = this.getPlaceholderById(permanentElement.id);\n placeholder?.replaceWith(permanentElement);\n }\n\n getPlaceholderById(id) {\n return this.placeholders.find((element) => element.content == id)\n }\n\n get placeholders() {\n return [...document.querySelectorAll(\"meta[name=turbo-permanent-placeholder][content]\")]\n }\n}\n\nfunction createPlaceholderForPermanentElement(permanentElement) {\n const element = document.createElement(\"meta\");\n element.setAttribute(\"name\", \"turbo-permanent-placeholder\");\n element.setAttribute(\"content\", permanentElement.id);\n return element\n}\n\nclass Renderer {\n #activeElement = null\n\n constructor(currentSnapshot, newSnapshot, renderElement, isPreview, willRender = true) {\n this.currentSnapshot = currentSnapshot;\n this.newSnapshot = newSnapshot;\n this.isPreview = isPreview;\n this.willRender = willRender;\n this.renderElement = renderElement;\n this.promise = new Promise((resolve, reject) => (this.resolvingFunctions = { resolve, reject }));\n }\n\n get shouldRender() {\n return true\n }\n\n get shouldAutofocus() {\n return true\n }\n\n get reloadReason() {\n return\n }\n\n prepareToRender() {\n return\n }\n\n render() {\n // Abstract method\n }\n\n finishRendering() {\n if (this.resolvingFunctions) {\n this.resolvingFunctions.resolve();\n delete this.resolvingFunctions;\n }\n }\n\n async preservingPermanentElements(callback) {\n await Bardo.preservingPermanentElements(this, this.permanentElementMap, callback);\n }\n\n focusFirstAutofocusableElement() {\n if (this.shouldAutofocus) {\n const element = this.connectedSnapshot.firstAutofocusableElement;\n if (element) {\n element.focus();\n }\n }\n }\n\n // Bardo delegate\n\n enteringBardo(currentPermanentElement) {\n if (this.#activeElement) return\n\n if (currentPermanentElement.contains(this.currentSnapshot.activeElement)) {\n this.#activeElement = this.currentSnapshot.activeElement;\n }\n }\n\n leavingBardo(currentPermanentElement) {\n if (currentPermanentElement.contains(this.#activeElement) && this.#activeElement instanceof HTMLElement) {\n this.#activeElement.focus();\n\n this.#activeElement = null;\n }\n }\n\n get connectedSnapshot() {\n return this.newSnapshot.isConnected ? this.newSnapshot : this.currentSnapshot\n }\n\n get currentElement() {\n return this.currentSnapshot.element\n }\n\n get newElement() {\n return this.newSnapshot.element\n }\n\n get permanentElementMap() {\n return this.currentSnapshot.getPermanentElementMapForSnapshot(this.newSnapshot)\n }\n\n get renderMethod() {\n return \"replace\"\n }\n}\n\nclass FrameRenderer extends Renderer {\n static renderElement(currentElement, newElement) {\n const destinationRange = document.createRange();\n destinationRange.selectNodeContents(currentElement);\n destinationRange.deleteContents();\n\n const frameElement = newElement;\n const sourceRange = frameElement.ownerDocument?.createRange();\n if (sourceRange) {\n sourceRange.selectNodeContents(frameElement);\n currentElement.appendChild(sourceRange.extractContents());\n }\n }\n\n constructor(delegate, currentSnapshot, newSnapshot, renderElement, isPreview, willRender = true) {\n super(currentSnapshot, newSnapshot, renderElement, isPreview, willRender);\n this.delegate = delegate;\n }\n\n get shouldRender() {\n return true\n }\n\n async render() {\n await nextRepaint();\n this.preservingPermanentElements(() => {\n this.loadFrameElement();\n });\n this.scrollFrameIntoView();\n await nextRepaint();\n this.focusFirstAutofocusableElement();\n await nextRepaint();\n this.activateScriptElements();\n }\n\n loadFrameElement() {\n this.delegate.willRenderFrame(this.currentElement, this.newElement);\n this.renderElement(this.currentElement, this.newElement);\n }\n\n scrollFrameIntoView() {\n if (this.currentElement.autoscroll || this.newElement.autoscroll) {\n const element = this.currentElement.firstElementChild;\n const block = readScrollLogicalPosition(this.currentElement.getAttribute(\"data-autoscroll-block\"), \"end\");\n const behavior = readScrollBehavior(this.currentElement.getAttribute(\"data-autoscroll-behavior\"), \"auto\");\n\n if (element) {\n element.scrollIntoView({ block, behavior });\n return true\n }\n }\n return false\n }\n\n activateScriptElements() {\n for (const inertScriptElement of this.newScriptElements) {\n const activatedScriptElement = activateScriptElement(inertScriptElement);\n inertScriptElement.replaceWith(activatedScriptElement);\n }\n }\n\n get newScriptElements() {\n return this.currentElement.querySelectorAll(\"script\")\n }\n}\n\nfunction readScrollLogicalPosition(value, defaultValue) {\n if (value == \"end\" || value == \"start\" || value == \"center\" || value == \"nearest\") {\n return value\n } else {\n return defaultValue\n }\n}\n\nfunction readScrollBehavior(value, defaultValue) {\n if (value == \"auto\" || value == \"smooth\") {\n return value\n } else {\n return defaultValue\n }\n}\n\nclass ProgressBar {\n static animationDuration = 300 /*ms*/\n\n static get defaultCSS() {\n return unindent`\n .turbo-progress-bar {\n position: fixed;\n display: block;\n top: 0;\n left: 0;\n height: 3px;\n background: #0076ff;\n z-index: 2147483647;\n transition:\n width ${ProgressBar.animationDuration}ms ease-out,\n opacity ${ProgressBar.animationDuration / 2}ms ${ProgressBar.animationDuration / 2}ms ease-in;\n transform: translate3d(0, 0, 0);\n }\n `\n }\n\n hiding = false\n value = 0\n visible = false\n\n constructor() {\n this.stylesheetElement = this.createStylesheetElement();\n this.progressElement = this.createProgressElement();\n this.installStylesheetElement();\n this.setValue(0);\n }\n\n show() {\n if (!this.visible) {\n this.visible = true;\n this.installProgressElement();\n this.startTrickling();\n }\n }\n\n hide() {\n if (this.visible && !this.hiding) {\n this.hiding = true;\n this.fadeProgressElement(() => {\n this.uninstallProgressElement();\n this.stopTrickling();\n this.visible = false;\n this.hiding = false;\n });\n }\n }\n\n setValue(value) {\n this.value = value;\n this.refresh();\n }\n\n // Private\n\n installStylesheetElement() {\n document.head.insertBefore(this.stylesheetElement, document.head.firstChild);\n }\n\n installProgressElement() {\n this.progressElement.style.width = \"0\";\n this.progressElement.style.opacity = \"1\";\n document.documentElement.insertBefore(this.progressElement, document.body);\n this.refresh();\n }\n\n fadeProgressElement(callback) {\n this.progressElement.style.opacity = \"0\";\n setTimeout(callback, ProgressBar.animationDuration * 1.5);\n }\n\n uninstallProgressElement() {\n if (this.progressElement.parentNode) {\n document.documentElement.removeChild(this.progressElement);\n }\n }\n\n startTrickling() {\n if (!this.trickleInterval) {\n this.trickleInterval = window.setInterval(this.trickle, ProgressBar.animationDuration);\n }\n }\n\n stopTrickling() {\n window.clearInterval(this.trickleInterval);\n delete this.trickleInterval;\n }\n\n trickle = () => {\n this.setValue(this.value + Math.random() / 100);\n }\n\n refresh() {\n requestAnimationFrame(() => {\n this.progressElement.style.width = `${10 + this.value * 90}%`;\n });\n }\n\n createStylesheetElement() {\n const element = document.createElement(\"style\");\n element.type = \"text/css\";\n element.textContent = ProgressBar.defaultCSS;\n if (this.cspNonce) {\n element.nonce = this.cspNonce;\n }\n return element\n }\n\n createProgressElement() {\n const element = document.createElement(\"div\");\n element.className = \"turbo-progress-bar\";\n return element\n }\n\n get cspNonce() {\n return getMetaContent(\"csp-nonce\")\n }\n}\n\nclass HeadSnapshot extends Snapshot {\n detailsByOuterHTML = this.children\n .filter((element) => !elementIsNoscript(element))\n .map((element) => elementWithoutNonce(element))\n .reduce((result, element) => {\n const { outerHTML } = element;\n const details =\n outerHTML in result\n ? result[outerHTML]\n : {\n type: elementType(element),\n tracked: elementIsTracked(element),\n elements: []\n };\n return {\n ...result,\n [outerHTML]: {\n ...details,\n elements: [...details.elements, element]\n }\n }\n }, {})\n\n get trackedElementSignature() {\n return Object.keys(this.detailsByOuterHTML)\n .filter((outerHTML) => this.detailsByOuterHTML[outerHTML].tracked)\n .join(\"\")\n }\n\n getScriptElementsNotInSnapshot(snapshot) {\n return this.getElementsMatchingTypeNotInSnapshot(\"script\", snapshot)\n }\n\n getStylesheetElementsNotInSnapshot(snapshot) {\n return this.getElementsMatchingTypeNotInSnapshot(\"stylesheet\", snapshot)\n }\n\n getElementsMatchingTypeNotInSnapshot(matchedType, snapshot) {\n return Object.keys(this.detailsByOuterHTML)\n .filter((outerHTML) => !(outerHTML in snapshot.detailsByOuterHTML))\n .map((outerHTML) => this.detailsByOuterHTML[outerHTML])\n .filter(({ type }) => type == matchedType)\n .map(({ elements: [element] }) => element)\n }\n\n get provisionalElements() {\n return Object.keys(this.detailsByOuterHTML).reduce((result, outerHTML) => {\n const { type, tracked, elements } = this.detailsByOuterHTML[outerHTML];\n if (type == null && !tracked) {\n return [...result, ...elements]\n } else if (elements.length > 1) {\n return [...result, ...elements.slice(1)]\n } else {\n return result\n }\n }, [])\n }\n\n getMetaValue(name) {\n const element = this.findMetaElementByName(name);\n return element ? element.getAttribute(\"content\") : null\n }\n\n findMetaElementByName(name) {\n return Object.keys(this.detailsByOuterHTML).reduce((result, outerHTML) => {\n const {\n elements: [element]\n } = this.detailsByOuterHTML[outerHTML];\n return elementIsMetaElementWithName(element, name) ? element : result\n }, undefined | undefined)\n }\n}\n\nfunction elementType(element) {\n if (elementIsScript(element)) {\n return \"script\"\n } else if (elementIsStylesheet(element)) {\n return \"stylesheet\"\n }\n}\n\nfunction elementIsTracked(element) {\n return element.getAttribute(\"data-turbo-track\") == \"reload\"\n}\n\nfunction elementIsScript(element) {\n const tagName = element.localName;\n return tagName == \"script\"\n}\n\nfunction elementIsNoscript(element) {\n const tagName = element.localName;\n return tagName == \"noscript\"\n}\n\nfunction elementIsStylesheet(element) {\n const tagName = element.localName;\n return tagName == \"style\" || (tagName == \"link\" && element.getAttribute(\"rel\") == \"stylesheet\")\n}\n\nfunction elementIsMetaElementWithName(element, name) {\n const tagName = element.localName;\n return tagName == \"meta\" && element.getAttribute(\"name\") == name\n}\n\nfunction elementWithoutNonce(element) {\n if (element.hasAttribute(\"nonce\")) {\n element.setAttribute(\"nonce\", \"\");\n }\n\n return element\n}\n\nclass PageSnapshot extends Snapshot {\n static fromHTMLString(html = \"\") {\n return this.fromDocument(parseHTMLDocument(html))\n }\n\n static fromElement(element) {\n return this.fromDocument(element.ownerDocument)\n }\n\n static fromDocument({ documentElement, body, head }) {\n return new this(documentElement, body, new HeadSnapshot(head))\n }\n\n constructor(documentElement, body, headSnapshot) {\n super(body);\n this.documentElement = documentElement;\n this.headSnapshot = headSnapshot;\n }\n\n clone() {\n const clonedElement = this.element.cloneNode(true);\n\n const selectElements = this.element.querySelectorAll(\"select\");\n const clonedSelectElements = clonedElement.querySelectorAll(\"select\");\n\n for (const [index, source] of selectElements.entries()) {\n const clone = clonedSelectElements[index];\n for (const option of clone.selectedOptions) option.selected = false;\n for (const option of source.selectedOptions) clone.options[option.index].selected = true;\n }\n\n for (const clonedPasswordInput of clonedElement.querySelectorAll('input[type=\"password\"]')) {\n clonedPasswordInput.value = \"\";\n }\n\n return new PageSnapshot(this.documentElement, clonedElement, this.headSnapshot)\n }\n\n get lang() {\n return this.documentElement.getAttribute(\"lang\")\n }\n\n get headElement() {\n return this.headSnapshot.element\n }\n\n get rootLocation() {\n const root = this.getSetting(\"root\") ?? \"/\";\n return expandURL(root)\n }\n\n get cacheControlValue() {\n return this.getSetting(\"cache-control\")\n }\n\n get isPreviewable() {\n return this.cacheControlValue != \"no-preview\"\n }\n\n get isCacheable() {\n return this.cacheControlValue != \"no-cache\"\n }\n\n get isVisitable() {\n return this.getSetting(\"visit-control\") != \"reload\"\n }\n\n get prefersViewTransitions() {\n return this.headSnapshot.getMetaValue(\"view-transition\") === \"same-origin\"\n }\n\n get shouldMorphPage() {\n return this.getSetting(\"refresh-method\") === \"morph\"\n }\n\n get shouldPreserveScrollPosition() {\n return this.getSetting(\"refresh-scroll\") === \"preserve\"\n }\n\n // Private\n\n getSetting(name) {\n return this.headSnapshot.getMetaValue(`turbo-${name}`)\n }\n}\n\nclass ViewTransitioner {\n #viewTransitionStarted = false\n #lastOperation = Promise.resolve()\n\n renderChange(useViewTransition, render) {\n if (useViewTransition && this.viewTransitionsAvailable && !this.#viewTransitionStarted) {\n this.#viewTransitionStarted = true;\n this.#lastOperation = this.#lastOperation.then(async () => {\n await document.startViewTransition(render).finished;\n });\n } else {\n this.#lastOperation = this.#lastOperation.then(render);\n }\n\n return this.#lastOperation\n }\n\n get viewTransitionsAvailable() {\n return document.startViewTransition\n }\n}\n\nconst defaultOptions = {\n action: \"advance\",\n historyChanged: false,\n visitCachedSnapshot: () => {},\n willRender: true,\n updateHistory: true,\n shouldCacheSnapshot: true,\n acceptsStreamResponse: false\n};\n\nconst TimingMetric = {\n visitStart: \"visitStart\",\n requestStart: \"requestStart\",\n requestEnd: \"requestEnd\",\n visitEnd: \"visitEnd\"\n};\n\nconst VisitState = {\n initialized: \"initialized\",\n started: \"started\",\n canceled: \"canceled\",\n failed: \"failed\",\n completed: \"completed\"\n};\n\nconst SystemStatusCode = {\n networkFailure: 0,\n timeoutFailure: -1,\n contentTypeMismatch: -2\n};\n\nconst Direction = {\n advance: \"forward\",\n restore: \"back\",\n replace: \"none\"\n};\n\nclass Visit {\n identifier = uuid() // Required by turbo-ios\n timingMetrics = {}\n\n followedRedirect = false\n historyChanged = false\n scrolled = false\n shouldCacheSnapshot = true\n acceptsStreamResponse = false\n snapshotCached = false\n state = VisitState.initialized\n viewTransitioner = new ViewTransitioner()\n\n constructor(delegate, location, restorationIdentifier, options = {}) {\n this.delegate = delegate;\n this.location = location;\n this.restorationIdentifier = restorationIdentifier || uuid();\n\n const {\n action,\n historyChanged,\n referrer,\n snapshot,\n snapshotHTML,\n response,\n visitCachedSnapshot,\n willRender,\n updateHistory,\n shouldCacheSnapshot,\n acceptsStreamResponse,\n direction\n } = {\n ...defaultOptions,\n ...options\n };\n this.action = action;\n this.historyChanged = historyChanged;\n this.referrer = referrer;\n this.snapshot = snapshot;\n this.snapshotHTML = snapshotHTML;\n this.response = response;\n this.isSamePage = this.delegate.locationWithActionIsSamePage(this.location, this.action);\n this.isPageRefresh = this.view.isPageRefresh(this);\n this.visitCachedSnapshot = visitCachedSnapshot;\n this.willRender = willRender;\n this.updateHistory = updateHistory;\n this.scrolled = !willRender;\n this.shouldCacheSnapshot = shouldCacheSnapshot;\n this.acceptsStreamResponse = acceptsStreamResponse;\n this.direction = direction || Direction[action];\n }\n\n get adapter() {\n return this.delegate.adapter\n }\n\n get view() {\n return this.delegate.view\n }\n\n get history() {\n return this.delegate.history\n }\n\n get restorationData() {\n return this.history.getRestorationDataForIdentifier(this.restorationIdentifier)\n }\n\n get silent() {\n return this.isSamePage\n }\n\n start() {\n if (this.state == VisitState.initialized) {\n this.recordTimingMetric(TimingMetric.visitStart);\n this.state = VisitState.started;\n this.adapter.visitStarted(this);\n this.delegate.visitStarted(this);\n }\n }\n\n cancel() {\n if (this.state == VisitState.started) {\n if (this.request) {\n this.request.cancel();\n }\n this.cancelRender();\n this.state = VisitState.canceled;\n }\n }\n\n complete() {\n if (this.state == VisitState.started) {\n this.recordTimingMetric(TimingMetric.visitEnd);\n this.adapter.visitCompleted(this);\n this.state = VisitState.completed;\n this.followRedirect();\n\n if (!this.followedRedirect) {\n this.delegate.visitCompleted(this);\n }\n }\n }\n\n fail() {\n if (this.state == VisitState.started) {\n this.state = VisitState.failed;\n this.adapter.visitFailed(this);\n this.delegate.visitCompleted(this);\n }\n }\n\n changeHistory() {\n if (!this.historyChanged && this.updateHistory) {\n const actionForHistory = this.location.href === this.referrer?.href ? \"replace\" : this.action;\n const method = getHistoryMethodForAction(actionForHistory);\n this.history.update(method, this.location, this.restorationIdentifier);\n this.historyChanged = true;\n }\n }\n\n issueRequest() {\n if (this.hasPreloadedResponse()) {\n this.simulateRequest();\n } else if (this.shouldIssueRequest() && !this.request) {\n this.request = new FetchRequest(this, FetchMethod.get, this.location);\n this.request.perform();\n }\n }\n\n simulateRequest() {\n if (this.response) {\n this.startRequest();\n this.recordResponse();\n this.finishRequest();\n }\n }\n\n startRequest() {\n this.recordTimingMetric(TimingMetric.requestStart);\n this.adapter.visitRequestStarted(this);\n }\n\n recordResponse(response = this.response) {\n this.response = response;\n if (response) {\n const { statusCode } = response;\n if (isSuccessful(statusCode)) {\n this.adapter.visitRequestCompleted(this);\n } else {\n this.adapter.visitRequestFailedWithStatusCode(this, statusCode);\n }\n }\n }\n\n finishRequest() {\n this.recordTimingMetric(TimingMetric.requestEnd);\n this.adapter.visitRequestFinished(this);\n }\n\n loadResponse() {\n if (this.response) {\n const { statusCode, responseHTML } = this.response;\n this.render(async () => {\n if (this.shouldCacheSnapshot) this.cacheSnapshot();\n if (this.view.renderPromise) await this.view.renderPromise;\n\n if (isSuccessful(statusCode) && responseHTML != null) {\n const snapshot = PageSnapshot.fromHTMLString(responseHTML);\n await this.renderPageSnapshot(snapshot, false);\n\n this.adapter.visitRendered(this);\n this.complete();\n } else {\n await this.view.renderError(PageSnapshot.fromHTMLString(responseHTML), this);\n this.adapter.visitRendered(this);\n this.fail();\n }\n });\n }\n }\n\n getCachedSnapshot() {\n const snapshot = this.view.getCachedSnapshotForLocation(this.location) || this.getPreloadedSnapshot();\n\n if (snapshot && (!getAnchor(this.location) || snapshot.hasAnchor(getAnchor(this.location)))) {\n if (this.action == \"restore\" || snapshot.isPreviewable) {\n return snapshot\n }\n }\n }\n\n getPreloadedSnapshot() {\n if (this.snapshotHTML) {\n return PageSnapshot.fromHTMLString(this.snapshotHTML)\n }\n }\n\n hasCachedSnapshot() {\n return this.getCachedSnapshot() != null\n }\n\n loadCachedSnapshot() {\n const snapshot = this.getCachedSnapshot();\n if (snapshot) {\n const isPreview = this.shouldIssueRequest();\n this.render(async () => {\n this.cacheSnapshot();\n if (this.isSamePage || this.isPageRefresh) {\n this.adapter.visitRendered(this);\n } else {\n if (this.view.renderPromise) await this.view.renderPromise;\n\n await this.renderPageSnapshot(snapshot, isPreview);\n\n this.adapter.visitRendered(this);\n if (!isPreview) {\n this.complete();\n }\n }\n });\n }\n }\n\n followRedirect() {\n if (this.redirectedToLocation && !this.followedRedirect && this.response?.redirected) {\n this.adapter.visitProposedToLocation(this.redirectedToLocation, {\n action: \"replace\",\n response: this.response,\n shouldCacheSnapshot: false,\n willRender: false\n });\n this.followedRedirect = true;\n }\n }\n\n goToSamePageAnchor() {\n if (this.isSamePage) {\n this.render(async () => {\n this.cacheSnapshot();\n this.performScroll();\n this.changeHistory();\n this.adapter.visitRendered(this);\n });\n }\n }\n\n // Fetch request delegate\n\n prepareRequest(request) {\n if (this.acceptsStreamResponse) {\n request.acceptResponseType(StreamMessage.contentType);\n }\n }\n\n requestStarted() {\n this.startRequest();\n }\n\n requestPreventedHandlingResponse(_request, _response) {}\n\n async requestSucceededWithResponse(request, response) {\n const responseHTML = await response.responseHTML;\n const { redirected, statusCode } = response;\n if (responseHTML == undefined) {\n this.recordResponse({\n statusCode: SystemStatusCode.contentTypeMismatch,\n redirected\n });\n } else {\n this.redirectedToLocation = response.redirected ? response.location : undefined;\n this.recordResponse({ statusCode: statusCode, responseHTML, redirected });\n }\n }\n\n async requestFailedWithResponse(request, response) {\n const responseHTML = await response.responseHTML;\n const { redirected, statusCode } = response;\n if (responseHTML == undefined) {\n this.recordResponse({\n statusCode: SystemStatusCode.contentTypeMismatch,\n redirected\n });\n } else {\n this.recordResponse({ statusCode: statusCode, responseHTML, redirected });\n }\n }\n\n requestErrored(_request, _error) {\n this.recordResponse({\n statusCode: SystemStatusCode.networkFailure,\n redirected: false\n });\n }\n\n requestFinished() {\n this.finishRequest();\n }\n\n // Scrolling\n\n performScroll() {\n if (!this.scrolled && !this.view.forceReloaded && !this.view.shouldPreserveScrollPosition(this)) {\n if (this.action == \"restore\") {\n this.scrollToRestoredPosition() || this.scrollToAnchor() || this.view.scrollToTop();\n } else {\n this.scrollToAnchor() || this.view.scrollToTop();\n }\n if (this.isSamePage) {\n this.delegate.visitScrolledToSamePageLocation(this.view.lastRenderedLocation, this.location);\n }\n\n this.scrolled = true;\n }\n }\n\n scrollToRestoredPosition() {\n const { scrollPosition } = this.restorationData;\n if (scrollPosition) {\n this.view.scrollToPosition(scrollPosition);\n return true\n }\n }\n\n scrollToAnchor() {\n const anchor = getAnchor(this.location);\n if (anchor != null) {\n this.view.scrollToAnchor(anchor);\n return true\n }\n }\n\n // Instrumentation\n\n recordTimingMetric(metric) {\n this.timingMetrics[metric] = new Date().getTime();\n }\n\n getTimingMetrics() {\n return { ...this.timingMetrics }\n }\n\n // Private\n\n getHistoryMethodForAction(action) {\n switch (action) {\n case \"replace\":\n return history.replaceState\n case \"advance\":\n case \"restore\":\n return history.pushState\n }\n }\n\n hasPreloadedResponse() {\n return typeof this.response == \"object\"\n }\n\n shouldIssueRequest() {\n if (this.isSamePage) {\n return false\n } else if (this.action == \"restore\") {\n return !this.hasCachedSnapshot()\n } else {\n return this.willRender\n }\n }\n\n cacheSnapshot() {\n if (!this.snapshotCached) {\n this.view.cacheSnapshot(this.snapshot).then((snapshot) => snapshot && this.visitCachedSnapshot(snapshot));\n this.snapshotCached = true;\n }\n }\n\n async render(callback) {\n this.cancelRender();\n this.frame = await nextRepaint();\n await callback();\n delete this.frame;\n }\n\n async renderPageSnapshot(snapshot, isPreview) {\n await this.viewTransitioner.renderChange(this.view.shouldTransitionTo(snapshot), async () => {\n await this.view.renderPage(snapshot, isPreview, this.willRender, this);\n this.performScroll();\n });\n }\n\n cancelRender() {\n if (this.frame) {\n cancelAnimationFrame(this.frame);\n delete this.frame;\n }\n }\n}\n\nfunction isSuccessful(statusCode) {\n return statusCode >= 200 && statusCode < 300\n}\n\nclass BrowserAdapter {\n progressBar = new ProgressBar()\n\n constructor(session) {\n this.session = session;\n }\n\n visitProposedToLocation(location, options) {\n if (locationIsVisitable(location, this.navigator.rootLocation)) {\n this.navigator.startVisit(location, options?.restorationIdentifier || uuid(), options);\n } else {\n window.location.href = location.toString();\n }\n }\n\n visitStarted(visit) {\n this.location = visit.location;\n visit.loadCachedSnapshot();\n visit.issueRequest();\n visit.goToSamePageAnchor();\n }\n\n visitRequestStarted(visit) {\n this.progressBar.setValue(0);\n if (visit.hasCachedSnapshot() || visit.action != \"restore\") {\n this.showVisitProgressBarAfterDelay();\n } else {\n this.showProgressBar();\n }\n }\n\n visitRequestCompleted(visit) {\n visit.loadResponse();\n }\n\n visitRequestFailedWithStatusCode(visit, statusCode) {\n switch (statusCode) {\n case SystemStatusCode.networkFailure:\n case SystemStatusCode.timeoutFailure:\n case SystemStatusCode.contentTypeMismatch:\n return this.reload({\n reason: \"request_failed\",\n context: {\n statusCode\n }\n })\n default:\n return visit.loadResponse()\n }\n }\n\n visitRequestFinished(_visit) {}\n\n visitCompleted(_visit) {\n this.progressBar.setValue(1);\n this.hideVisitProgressBar();\n }\n\n pageInvalidated(reason) {\n this.reload(reason);\n }\n\n visitFailed(_visit) {\n this.progressBar.setValue(1);\n this.hideVisitProgressBar();\n }\n\n visitRendered(_visit) {}\n\n // Form Submission Delegate\n\n formSubmissionStarted(_formSubmission) {\n this.progressBar.setValue(0);\n this.showFormProgressBarAfterDelay();\n }\n\n formSubmissionFinished(_formSubmission) {\n this.progressBar.setValue(1);\n this.hideFormProgressBar();\n }\n\n // Private\n\n showVisitProgressBarAfterDelay() {\n this.visitProgressBarTimeout = window.setTimeout(this.showProgressBar, this.session.progressBarDelay);\n }\n\n hideVisitProgressBar() {\n this.progressBar.hide();\n if (this.visitProgressBarTimeout != null) {\n window.clearTimeout(this.visitProgressBarTimeout);\n delete this.visitProgressBarTimeout;\n }\n }\n\n showFormProgressBarAfterDelay() {\n if (this.formProgressBarTimeout == null) {\n this.formProgressBarTimeout = window.setTimeout(this.showProgressBar, this.session.progressBarDelay);\n }\n }\n\n hideFormProgressBar() {\n this.progressBar.hide();\n if (this.formProgressBarTimeout != null) {\n window.clearTimeout(this.formProgressBarTimeout);\n delete this.formProgressBarTimeout;\n }\n }\n\n showProgressBar = () => {\n this.progressBar.show();\n }\n\n reload(reason) {\n dispatch(\"turbo:reload\", { detail: reason });\n\n window.location.href = this.location?.toString() || window.location.href;\n }\n\n get navigator() {\n return this.session.navigator\n }\n}\n\nclass CacheObserver {\n selector = \"[data-turbo-temporary]\"\n deprecatedSelector = \"[data-turbo-cache=false]\"\n\n started = false\n\n start() {\n if (!this.started) {\n this.started = true;\n addEventListener(\"turbo:before-cache\", this.removeTemporaryElements, false);\n }\n }\n\n stop() {\n if (this.started) {\n this.started = false;\n removeEventListener(\"turbo:before-cache\", this.removeTemporaryElements, false);\n }\n }\n\n removeTemporaryElements = (_event) => {\n for (const element of this.temporaryElements) {\n element.remove();\n }\n }\n\n get temporaryElements() {\n return [...document.querySelectorAll(this.selector), ...this.temporaryElementsWithDeprecation]\n }\n\n get temporaryElementsWithDeprecation() {\n const elements = document.querySelectorAll(this.deprecatedSelector);\n\n if (elements.length) {\n console.warn(\n `The ${this.deprecatedSelector} selector is deprecated and will be removed in a future version. Use ${this.selector} instead.`\n );\n }\n\n return [...elements]\n }\n}\n\nclass FrameRedirector {\n constructor(session, element) {\n this.session = session;\n this.element = element;\n this.linkInterceptor = new LinkInterceptor(this, element);\n this.formSubmitObserver = new FormSubmitObserver(this, element);\n }\n\n start() {\n this.linkInterceptor.start();\n this.formSubmitObserver.start();\n }\n\n stop() {\n this.linkInterceptor.stop();\n this.formSubmitObserver.stop();\n }\n\n // Link interceptor delegate\n\n shouldInterceptLinkClick(element, _location, _event) {\n return this.#shouldRedirect(element)\n }\n\n linkClickIntercepted(element, url, event) {\n const frame = this.#findFrameElement(element);\n if (frame) {\n frame.delegate.linkClickIntercepted(element, url, event);\n }\n }\n\n // Form submit observer delegate\n\n willSubmitForm(element, submitter) {\n return (\n element.closest(\"turbo-frame\") == null &&\n this.#shouldSubmit(element, submitter) &&\n this.#shouldRedirect(element, submitter)\n )\n }\n\n formSubmitted(element, submitter) {\n const frame = this.#findFrameElement(element, submitter);\n if (frame) {\n frame.delegate.formSubmitted(element, submitter);\n }\n }\n\n #shouldSubmit(form, submitter) {\n const action = getAction$1(form, submitter);\n const meta = this.element.ownerDocument.querySelector(`meta[name=\"turbo-root\"]`);\n const rootLocation = expandURL(meta?.content ?? \"/\");\n\n return this.#shouldRedirect(form, submitter) && locationIsVisitable(action, rootLocation)\n }\n\n #shouldRedirect(element, submitter) {\n const isNavigatable =\n element instanceof HTMLFormElement\n ? this.session.submissionIsNavigatable(element, submitter)\n : this.session.elementIsNavigatable(element);\n\n if (isNavigatable) {\n const frame = this.#findFrameElement(element, submitter);\n return frame ? frame != element.closest(\"turbo-frame\") : false\n } else {\n return false\n }\n }\n\n #findFrameElement(element, submitter) {\n const id = submitter?.getAttribute(\"data-turbo-frame\") || element.getAttribute(\"data-turbo-frame\");\n if (id && id != \"_top\") {\n const frame = this.element.querySelector(`#${id}:not([disabled])`);\n if (frame instanceof FrameElement) {\n return frame\n }\n }\n }\n}\n\nclass History {\n location\n restorationIdentifier = uuid()\n restorationData = {}\n started = false\n pageLoaded = false\n currentIndex = 0\n\n constructor(delegate) {\n this.delegate = delegate;\n }\n\n start() {\n if (!this.started) {\n addEventListener(\"popstate\", this.onPopState, false);\n addEventListener(\"load\", this.onPageLoad, false);\n this.currentIndex = history.state?.turbo?.restorationIndex || 0;\n this.started = true;\n this.replace(new URL(window.location.href));\n }\n }\n\n stop() {\n if (this.started) {\n removeEventListener(\"popstate\", this.onPopState, false);\n removeEventListener(\"load\", this.onPageLoad, false);\n this.started = false;\n }\n }\n\n push(location, restorationIdentifier) {\n this.update(history.pushState, location, restorationIdentifier);\n }\n\n replace(location, restorationIdentifier) {\n this.update(history.replaceState, location, restorationIdentifier);\n }\n\n update(method, location, restorationIdentifier = uuid()) {\n if (method === history.pushState) ++this.currentIndex;\n\n const state = { turbo: { restorationIdentifier, restorationIndex: this.currentIndex } };\n method.call(history, state, \"\", location.href);\n this.location = location;\n this.restorationIdentifier = restorationIdentifier;\n }\n\n // Restoration data\n\n getRestorationDataForIdentifier(restorationIdentifier) {\n return this.restorationData[restorationIdentifier] || {}\n }\n\n updateRestorationData(additionalData) {\n const { restorationIdentifier } = this;\n const restorationData = this.restorationData[restorationIdentifier];\n this.restorationData[restorationIdentifier] = {\n ...restorationData,\n ...additionalData\n };\n }\n\n // Scroll restoration\n\n assumeControlOfScrollRestoration() {\n if (!this.previousScrollRestoration) {\n this.previousScrollRestoration = history.scrollRestoration ?? \"auto\";\n history.scrollRestoration = \"manual\";\n }\n }\n\n relinquishControlOfScrollRestoration() {\n if (this.previousScrollRestoration) {\n history.scrollRestoration = this.previousScrollRestoration;\n delete this.previousScrollRestoration;\n }\n }\n\n // Event handlers\n\n onPopState = (event) => {\n if (this.shouldHandlePopState()) {\n const { turbo } = event.state || {};\n if (turbo) {\n this.location = new URL(window.location.href);\n const { restorationIdentifier, restorationIndex } = turbo;\n this.restorationIdentifier = restorationIdentifier;\n const direction = restorationIndex > this.currentIndex ? \"forward\" : \"back\";\n this.delegate.historyPoppedToLocationWithRestorationIdentifierAndDirection(this.location, restorationIdentifier, direction);\n this.currentIndex = restorationIndex;\n }\n }\n }\n\n onPageLoad = async (_event) => {\n await nextMicrotask();\n this.pageLoaded = true;\n }\n\n // Private\n\n shouldHandlePopState() {\n // Safari dispatches a popstate event after window's load event, ignore it\n return this.pageIsLoaded()\n }\n\n pageIsLoaded() {\n return this.pageLoaded || document.readyState == \"complete\"\n }\n}\n\nclass LinkPrefetchObserver {\n started = false\n #prefetchedLink = null\n\n constructor(delegate, eventTarget) {\n this.delegate = delegate;\n this.eventTarget = eventTarget;\n }\n\n start() {\n if (this.started) return\n\n if (this.eventTarget.readyState === \"loading\") {\n this.eventTarget.addEventListener(\"DOMContentLoaded\", this.#enable, { once: true });\n } else {\n this.#enable();\n }\n }\n\n stop() {\n if (!this.started) return\n\n this.eventTarget.removeEventListener(\"mouseenter\", this.#tryToPrefetchRequest, {\n capture: true,\n passive: true\n });\n this.eventTarget.removeEventListener(\"mouseleave\", this.#cancelRequestIfObsolete, {\n capture: true,\n passive: true\n });\n\n this.eventTarget.removeEventListener(\"turbo:before-fetch-request\", this.#tryToUsePrefetchedRequest, true);\n this.started = false;\n }\n\n #enable = () => {\n this.eventTarget.addEventListener(\"mouseenter\", this.#tryToPrefetchRequest, {\n capture: true,\n passive: true\n });\n this.eventTarget.addEventListener(\"mouseleave\", this.#cancelRequestIfObsolete, {\n capture: true,\n passive: true\n });\n\n this.eventTarget.addEventListener(\"turbo:before-fetch-request\", this.#tryToUsePrefetchedRequest, true);\n this.started = true;\n }\n\n #tryToPrefetchRequest = (event) => {\n if (getMetaContent(\"turbo-prefetch\") === \"false\") return\n\n const target = event.target;\n const isLink = target.matches && target.matches(\"a[href]:not([target^=_]):not([download])\");\n\n if (isLink && this.#isPrefetchable(target)) {\n const link = target;\n const location = getLocationForLink(link);\n\n if (this.delegate.canPrefetchRequestToLocation(link, location)) {\n this.#prefetchedLink = link;\n\n const fetchRequest = new FetchRequest(\n this,\n FetchMethod.get,\n location,\n new URLSearchParams(),\n target\n );\n\n prefetchCache.setLater(location.toString(), fetchRequest, this.#cacheTtl);\n }\n }\n }\n\n #cancelRequestIfObsolete = (event) => {\n if (event.target === this.#prefetchedLink) this.#cancelPrefetchRequest();\n }\n\n #cancelPrefetchRequest = () => {\n prefetchCache.clear();\n this.#prefetchedLink = null;\n }\n\n #tryToUsePrefetchedRequest = (event) => {\n if (event.target.tagName !== \"FORM\" && event.detail.fetchOptions.method === \"GET\") {\n const cached = prefetchCache.get(event.detail.url.toString());\n\n if (cached) {\n // User clicked link, use cache response\n event.detail.fetchRequest = cached;\n }\n\n prefetchCache.clear();\n }\n }\n\n prepareRequest(request) {\n const link = request.target;\n\n request.headers[\"X-Sec-Purpose\"] = \"prefetch\";\n\n const turboFrame = link.closest(\"turbo-frame\");\n const turboFrameTarget = link.getAttribute(\"data-turbo-frame\") || turboFrame?.getAttribute(\"target\") || turboFrame?.id;\n\n if (turboFrameTarget && turboFrameTarget !== \"_top\") {\n request.headers[\"Turbo-Frame\"] = turboFrameTarget;\n }\n }\n\n // Fetch request interface\n\n requestSucceededWithResponse() {}\n\n requestStarted(fetchRequest) {}\n\n requestErrored(fetchRequest) {}\n\n requestFinished(fetchRequest) {}\n\n requestPreventedHandlingResponse(fetchRequest, fetchResponse) {}\n\n requestFailedWithResponse(fetchRequest, fetchResponse) {}\n\n get #cacheTtl() {\n return Number(getMetaContent(\"turbo-prefetch-cache-time\")) || cacheTtl\n }\n\n #isPrefetchable(link) {\n const href = link.getAttribute(\"href\");\n\n if (!href) return false\n\n if (unfetchableLink(link)) return false\n if (linkToTheSamePage(link)) return false\n if (linkOptsOut(link)) return false\n if (nonSafeLink(link)) return false\n if (eventPrevented(link)) return false\n\n return true\n }\n}\n\nconst unfetchableLink = (link) => {\n return link.origin !== document.location.origin || ![\"http:\", \"https:\"].includes(link.protocol) || link.hasAttribute(\"target\")\n};\n\nconst linkToTheSamePage = (link) => {\n return (link.pathname + link.search === document.location.pathname + document.location.search) || link.href.startsWith(\"#\")\n};\n\nconst linkOptsOut = (link) => {\n if (link.getAttribute(\"data-turbo-prefetch\") === \"false\") return true\n if (link.getAttribute(\"data-turbo\") === \"false\") return true\n\n const turboPrefetchParent = findClosestRecursively(link, \"[data-turbo-prefetch]\");\n if (turboPrefetchParent && turboPrefetchParent.getAttribute(\"data-turbo-prefetch\") === \"false\") return true\n\n return false\n};\n\nconst nonSafeLink = (link) => {\n const turboMethod = link.getAttribute(\"data-turbo-method\");\n if (turboMethod && turboMethod.toLowerCase() !== \"get\") return true\n\n if (isUJS(link)) return true\n if (link.hasAttribute(\"data-turbo-confirm\")) return true\n if (link.hasAttribute(\"data-turbo-stream\")) return true\n\n return false\n};\n\nconst isUJS = (link) => {\n return link.hasAttribute(\"data-remote\") || link.hasAttribute(\"data-behavior\") || link.hasAttribute(\"data-confirm\") || link.hasAttribute(\"data-method\")\n};\n\nconst eventPrevented = (link) => {\n const event = dispatch(\"turbo:before-prefetch\", { target: link, cancelable: true });\n return event.defaultPrevented\n};\n\nclass Navigator {\n constructor(delegate) {\n this.delegate = delegate;\n }\n\n proposeVisit(location, options = {}) {\n if (this.delegate.allowsVisitingLocationWithAction(location, options.action)) {\n this.delegate.visitProposedToLocation(location, options);\n }\n }\n\n startVisit(locatable, restorationIdentifier, options = {}) {\n this.stop();\n this.currentVisit = new Visit(this, expandURL(locatable), restorationIdentifier, {\n referrer: this.location,\n ...options\n });\n this.currentVisit.start();\n }\n\n submitForm(form, submitter) {\n this.stop();\n this.formSubmission = new FormSubmission(this, form, submitter, true);\n\n this.formSubmission.start();\n }\n\n stop() {\n if (this.formSubmission) {\n this.formSubmission.stop();\n delete this.formSubmission;\n }\n\n if (this.currentVisit) {\n this.currentVisit.cancel();\n delete this.currentVisit;\n }\n }\n\n get adapter() {\n return this.delegate.adapter\n }\n\n get view() {\n return this.delegate.view\n }\n\n get rootLocation() {\n return this.view.snapshot.rootLocation\n }\n\n get history() {\n return this.delegate.history\n }\n\n // Form submission delegate\n\n formSubmissionStarted(formSubmission) {\n // Not all adapters implement formSubmissionStarted\n if (typeof this.adapter.formSubmissionStarted === \"function\") {\n this.adapter.formSubmissionStarted(formSubmission);\n }\n }\n\n async formSubmissionSucceededWithResponse(formSubmission, fetchResponse) {\n if (formSubmission == this.formSubmission) {\n const responseHTML = await fetchResponse.responseHTML;\n if (responseHTML) {\n const shouldCacheSnapshot = formSubmission.isSafe;\n if (!shouldCacheSnapshot) {\n this.view.clearSnapshotCache();\n }\n\n const { statusCode, redirected } = fetchResponse;\n const action = this.#getActionForFormSubmission(formSubmission, fetchResponse);\n const visitOptions = {\n action,\n shouldCacheSnapshot,\n response: { statusCode, responseHTML, redirected }\n };\n this.proposeVisit(fetchResponse.location, visitOptions);\n }\n }\n }\n\n async formSubmissionFailedWithResponse(formSubmission, fetchResponse) {\n const responseHTML = await fetchResponse.responseHTML;\n\n if (responseHTML) {\n const snapshot = PageSnapshot.fromHTMLString(responseHTML);\n if (fetchResponse.serverError) {\n await this.view.renderError(snapshot, this.currentVisit);\n } else {\n await this.view.renderPage(snapshot, false, true, this.currentVisit);\n }\n if(!snapshot.shouldPreserveScrollPosition) {\n this.view.scrollToTop();\n }\n this.view.clearSnapshotCache();\n }\n }\n\n formSubmissionErrored(formSubmission, error) {\n console.error(error);\n }\n\n formSubmissionFinished(formSubmission) {\n // Not all adapters implement formSubmissionFinished\n if (typeof this.adapter.formSubmissionFinished === \"function\") {\n this.adapter.formSubmissionFinished(formSubmission);\n }\n }\n\n // Visit delegate\n\n visitStarted(visit) {\n this.delegate.visitStarted(visit);\n }\n\n visitCompleted(visit) {\n this.delegate.visitCompleted(visit);\n delete this.currentVisit;\n }\n\n locationWithActionIsSamePage(location, action) {\n const anchor = getAnchor(location);\n const currentAnchor = getAnchor(this.view.lastRenderedLocation);\n const isRestorationToTop = action === \"restore\" && typeof anchor === \"undefined\";\n\n return (\n action !== \"replace\" &&\n getRequestURL(location) === getRequestURL(this.view.lastRenderedLocation) &&\n (isRestorationToTop || (anchor != null && anchor !== currentAnchor))\n )\n }\n\n visitScrolledToSamePageLocation(oldURL, newURL) {\n this.delegate.visitScrolledToSamePageLocation(oldURL, newURL);\n }\n\n // Visits\n\n get location() {\n return this.history.location\n }\n\n get restorationIdentifier() {\n return this.history.restorationIdentifier\n }\n\n #getActionForFormSubmission(formSubmission, fetchResponse) {\n const { submitter, formElement } = formSubmission;\n return getVisitAction(submitter, formElement) || this.#getDefaultAction(fetchResponse)\n }\n\n #getDefaultAction(fetchResponse) {\n const sameLocationRedirect = fetchResponse.redirected && fetchResponse.location.href === this.location?.href;\n return sameLocationRedirect ? \"replace\" : \"advance\"\n }\n}\n\nconst PageStage = {\n initial: 0,\n loading: 1,\n interactive: 2,\n complete: 3\n};\n\nclass PageObserver {\n stage = PageStage.initial\n started = false\n\n constructor(delegate) {\n this.delegate = delegate;\n }\n\n start() {\n if (!this.started) {\n if (this.stage == PageStage.initial) {\n this.stage = PageStage.loading;\n }\n document.addEventListener(\"readystatechange\", this.interpretReadyState, false);\n addEventListener(\"pagehide\", this.pageWillUnload, false);\n this.started = true;\n }\n }\n\n stop() {\n if (this.started) {\n document.removeEventListener(\"readystatechange\", this.interpretReadyState, false);\n removeEventListener(\"pagehide\", this.pageWillUnload, false);\n this.started = false;\n }\n }\n\n interpretReadyState = () => {\n const { readyState } = this;\n if (readyState == \"interactive\") {\n this.pageIsInteractive();\n } else if (readyState == \"complete\") {\n this.pageIsComplete();\n }\n }\n\n pageIsInteractive() {\n if (this.stage == PageStage.loading) {\n this.stage = PageStage.interactive;\n this.delegate.pageBecameInteractive();\n }\n }\n\n pageIsComplete() {\n this.pageIsInteractive();\n if (this.stage == PageStage.interactive) {\n this.stage = PageStage.complete;\n this.delegate.pageLoaded();\n }\n }\n\n pageWillUnload = () => {\n this.delegate.pageWillUnload();\n }\n\n get readyState() {\n return document.readyState\n }\n}\n\nclass ScrollObserver {\n started = false\n\n constructor(delegate) {\n this.delegate = delegate;\n }\n\n start() {\n if (!this.started) {\n addEventListener(\"scroll\", this.onScroll, false);\n this.onScroll();\n this.started = true;\n }\n }\n\n stop() {\n if (this.started) {\n removeEventListener(\"scroll\", this.onScroll, false);\n this.started = false;\n }\n }\n\n onScroll = () => {\n this.updatePosition({ x: window.pageXOffset, y: window.pageYOffset });\n }\n\n // Private\n\n updatePosition(position) {\n this.delegate.scrollPositionChanged(position);\n }\n}\n\nclass StreamMessageRenderer {\n render({ fragment }) {\n Bardo.preservingPermanentElements(this, getPermanentElementMapForFragment(fragment), () => {\n withAutofocusFromFragment(fragment, () => {\n withPreservedFocus(() => {\n document.documentElement.appendChild(fragment);\n });\n });\n });\n }\n\n // Bardo delegate\n\n enteringBardo(currentPermanentElement, newPermanentElement) {\n newPermanentElement.replaceWith(currentPermanentElement.cloneNode(true));\n }\n\n leavingBardo() {}\n}\n\nfunction getPermanentElementMapForFragment(fragment) {\n const permanentElementsInDocument = queryPermanentElementsAll(document.documentElement);\n const permanentElementMap = {};\n for (const permanentElementInDocument of permanentElementsInDocument) {\n const { id } = permanentElementInDocument;\n\n for (const streamElement of fragment.querySelectorAll(\"turbo-stream\")) {\n const elementInStream = getPermanentElementById(streamElement.templateElement.content, id);\n\n if (elementInStream) {\n permanentElementMap[id] = [permanentElementInDocument, elementInStream];\n }\n }\n }\n\n return permanentElementMap\n}\n\nasync function withAutofocusFromFragment(fragment, callback) {\n const generatedID = `turbo-stream-autofocus-${uuid()}`;\n const turboStreams = fragment.querySelectorAll(\"turbo-stream\");\n const elementWithAutofocus = firstAutofocusableElementInStreams(turboStreams);\n let willAutofocusId = null;\n\n if (elementWithAutofocus) {\n if (elementWithAutofocus.id) {\n willAutofocusId = elementWithAutofocus.id;\n } else {\n willAutofocusId = generatedID;\n }\n\n elementWithAutofocus.id = willAutofocusId;\n }\n\n callback();\n await nextRepaint();\n\n const hasNoActiveElement = document.activeElement == null || document.activeElement == document.body;\n\n if (hasNoActiveElement && willAutofocusId) {\n const elementToAutofocus = document.getElementById(willAutofocusId);\n\n if (elementIsFocusable(elementToAutofocus)) {\n elementToAutofocus.focus();\n }\n if (elementToAutofocus && elementToAutofocus.id == generatedID) {\n elementToAutofocus.removeAttribute(\"id\");\n }\n }\n}\n\nasync function withPreservedFocus(callback) {\n const [activeElementBeforeRender, activeElementAfterRender] = await around(callback, () => document.activeElement);\n\n const restoreFocusTo = activeElementBeforeRender && activeElementBeforeRender.id;\n\n if (restoreFocusTo) {\n const elementToFocus = document.getElementById(restoreFocusTo);\n\n if (elementIsFocusable(elementToFocus) && elementToFocus != activeElementAfterRender) {\n elementToFocus.focus();\n }\n }\n}\n\nfunction firstAutofocusableElementInStreams(nodeListOfStreamElements) {\n for (const streamElement of nodeListOfStreamElements) {\n const elementWithAutofocus = queryAutofocusableElement(streamElement.templateElement.content);\n\n if (elementWithAutofocus) return elementWithAutofocus\n }\n\n return null\n}\n\nclass StreamObserver {\n sources = new Set()\n #started = false\n\n constructor(delegate) {\n this.delegate = delegate;\n }\n\n start() {\n if (!this.#started) {\n this.#started = true;\n addEventListener(\"turbo:before-fetch-response\", this.inspectFetchResponse, false);\n }\n }\n\n stop() {\n if (this.#started) {\n this.#started = false;\n removeEventListener(\"turbo:before-fetch-response\", this.inspectFetchResponse, false);\n }\n }\n\n connectStreamSource(source) {\n if (!this.streamSourceIsConnected(source)) {\n this.sources.add(source);\n source.addEventListener(\"message\", this.receiveMessageEvent, false);\n }\n }\n\n disconnectStreamSource(source) {\n if (this.streamSourceIsConnected(source)) {\n this.sources.delete(source);\n source.removeEventListener(\"message\", this.receiveMessageEvent, false);\n }\n }\n\n streamSourceIsConnected(source) {\n return this.sources.has(source)\n }\n\n inspectFetchResponse = (event) => {\n const response = fetchResponseFromEvent(event);\n if (response && fetchResponseIsStream(response)) {\n event.preventDefault();\n this.receiveMessageResponse(response);\n }\n }\n\n receiveMessageEvent = (event) => {\n if (this.#started && typeof event.data == \"string\") {\n this.receiveMessageHTML(event.data);\n }\n }\n\n async receiveMessageResponse(response) {\n const html = await response.responseHTML;\n if (html) {\n this.receiveMessageHTML(html);\n }\n }\n\n receiveMessageHTML(html) {\n this.delegate.receivedMessageFromStream(StreamMessage.wrap(html));\n }\n}\n\nfunction fetchResponseFromEvent(event) {\n const fetchResponse = event.detail?.fetchResponse;\n if (fetchResponse instanceof FetchResponse) {\n return fetchResponse\n }\n}\n\nfunction fetchResponseIsStream(response) {\n const contentType = response.contentType ?? \"\";\n return contentType.startsWith(StreamMessage.contentType)\n}\n\nclass ErrorRenderer extends Renderer {\n static renderElement(currentElement, newElement) {\n const { documentElement, body } = document;\n\n documentElement.replaceChild(newElement, body);\n }\n\n async render() {\n this.replaceHeadAndBody();\n this.activateScriptElements();\n }\n\n replaceHeadAndBody() {\n const { documentElement, head } = document;\n documentElement.replaceChild(this.newHead, head);\n this.renderElement(this.currentElement, this.newElement);\n }\n\n activateScriptElements() {\n for (const replaceableElement of this.scriptElements) {\n const parentNode = replaceableElement.parentNode;\n if (parentNode) {\n const element = activateScriptElement(replaceableElement);\n parentNode.replaceChild(element, replaceableElement);\n }\n }\n }\n\n get newHead() {\n return this.newSnapshot.headSnapshot.element\n }\n\n get scriptElements() {\n return document.documentElement.querySelectorAll(\"script\")\n }\n}\n\n// base IIFE to define idiomorph\nvar Idiomorph = (function () {\n\n //=============================================================================\n // AND NOW IT BEGINS...\n //=============================================================================\n let EMPTY_SET = new Set();\n\n // default configuration values, updatable by users now\n let defaults = {\n morphStyle: \"outerHTML\",\n callbacks : {\n beforeNodeAdded: noOp,\n afterNodeAdded: noOp,\n beforeNodeMorphed: noOp,\n afterNodeMorphed: noOp,\n beforeNodeRemoved: noOp,\n afterNodeRemoved: noOp,\n beforeAttributeUpdated: noOp,\n\n },\n head: {\n style: 'merge',\n shouldPreserve: function (elt) {\n return elt.getAttribute(\"im-preserve\") === \"true\";\n },\n shouldReAppend: function (elt) {\n return elt.getAttribute(\"im-re-append\") === \"true\";\n },\n shouldRemove: noOp,\n afterHeadMorphed: noOp,\n }\n };\n\n //=============================================================================\n // Core Morphing Algorithm - morph, morphNormalizedContent, morphOldNodeTo, morphChildren\n //=============================================================================\n function morph(oldNode, newContent, config = {}) {\n\n if (oldNode instanceof Document) {\n oldNode = oldNode.documentElement;\n }\n\n if (typeof newContent === 'string') {\n newContent = parseContent(newContent);\n }\n\n let normalizedContent = normalizeContent(newContent);\n\n let ctx = createMorphContext(oldNode, normalizedContent, config);\n\n return morphNormalizedContent(oldNode, normalizedContent, ctx);\n }\n\n function morphNormalizedContent(oldNode, normalizedNewContent, ctx) {\n if (ctx.head.block) {\n let oldHead = oldNode.querySelector('head');\n let newHead = normalizedNewContent.querySelector('head');\n if (oldHead && newHead) {\n let promises = handleHeadElement(newHead, oldHead, ctx);\n // when head promises resolve, call morph again, ignoring the head tag\n Promise.all(promises).then(function () {\n morphNormalizedContent(oldNode, normalizedNewContent, Object.assign(ctx, {\n head: {\n block: false,\n ignore: true\n }\n }));\n });\n return;\n }\n }\n\n if (ctx.morphStyle === \"innerHTML\") {\n\n // innerHTML, so we are only updating the children\n morphChildren(normalizedNewContent, oldNode, ctx);\n return oldNode.children;\n\n } else if (ctx.morphStyle === \"outerHTML\" || ctx.morphStyle == null) {\n // otherwise find the best element match in the new content, morph that, and merge its siblings\n // into either side of the best match\n let bestMatch = findBestNodeMatch(normalizedNewContent, oldNode, ctx);\n\n // stash the siblings that will need to be inserted on either side of the best match\n let previousSibling = bestMatch?.previousSibling;\n let nextSibling = bestMatch?.nextSibling;\n\n // morph it\n let morphedNode = morphOldNodeTo(oldNode, bestMatch, ctx);\n\n if (bestMatch) {\n // if there was a best match, merge the siblings in too and return the\n // whole bunch\n return insertSiblings(previousSibling, morphedNode, nextSibling);\n } else {\n // otherwise nothing was added to the DOM\n return []\n }\n } else {\n throw \"Do not understand how to morph style \" + ctx.morphStyle;\n }\n }\n\n\n /**\n * @param possibleActiveElement\n * @param ctx\n * @returns {boolean}\n */\n function ignoreValueOfActiveElement(possibleActiveElement, ctx) {\n return ctx.ignoreActiveValue && possibleActiveElement === document.activeElement && possibleActiveElement !== document.body;\n }\n\n /**\n * @param oldNode root node to merge content into\n * @param newContent new content to merge\n * @param ctx the merge context\n * @returns {Element} the element that ended up in the DOM\n */\n function morphOldNodeTo(oldNode, newContent, ctx) {\n if (ctx.ignoreActive && oldNode === document.activeElement) ; else if (newContent == null) {\n if (ctx.callbacks.beforeNodeRemoved(oldNode) === false) return oldNode;\n\n oldNode.remove();\n ctx.callbacks.afterNodeRemoved(oldNode);\n return null;\n } else if (!isSoftMatch(oldNode, newContent)) {\n if (ctx.callbacks.beforeNodeRemoved(oldNode) === false) return oldNode;\n if (ctx.callbacks.beforeNodeAdded(newContent) === false) return oldNode;\n\n oldNode.parentElement.replaceChild(newContent, oldNode);\n ctx.callbacks.afterNodeAdded(newContent);\n ctx.callbacks.afterNodeRemoved(oldNode);\n return newContent;\n } else {\n if (ctx.callbacks.beforeNodeMorphed(oldNode, newContent) === false) return oldNode;\n\n if (oldNode instanceof HTMLHeadElement && ctx.head.ignore) ; else if (oldNode instanceof HTMLHeadElement && ctx.head.style !== \"morph\") {\n handleHeadElement(newContent, oldNode, ctx);\n } else {\n syncNodeFrom(newContent, oldNode, ctx);\n if (!ignoreValueOfActiveElement(oldNode, ctx)) {\n morphChildren(newContent, oldNode, ctx);\n }\n }\n ctx.callbacks.afterNodeMorphed(oldNode, newContent);\n return oldNode;\n }\n }\n\n /**\n * This is the core algorithm for matching up children. The idea is to use id sets to try to match up\n * nodes as faithfully as possible. We greedily match, which allows us to keep the algorithm fast, but\n * by using id sets, we are able to better match up with content deeper in the DOM.\n *\n * Basic algorithm is, for each node in the new content:\n *\n * - if we have reached the end of the old parent, append the new content\n * - if the new content has an id set match with the current insertion point, morph\n * - search for an id set match\n * - if id set match found, morph\n * - otherwise search for a \"soft\" match\n * - if a soft match is found, morph\n * - otherwise, prepend the new node before the current insertion point\n *\n * The two search algorithms terminate if competing node matches appear to outweigh what can be achieved\n * with the current node. See findIdSetMatch() and findSoftMatch() for details.\n *\n * @param {Element} newParent the parent element of the new content\n * @param {Element } oldParent the old content that we are merging the new content into\n * @param ctx the merge context\n */\n function morphChildren(newParent, oldParent, ctx) {\n\n let nextNewChild = newParent.firstChild;\n let insertionPoint = oldParent.firstChild;\n let newChild;\n\n // run through all the new content\n while (nextNewChild) {\n\n newChild = nextNewChild;\n nextNewChild = newChild.nextSibling;\n\n // if we are at the end of the exiting parent's children, just append\n if (insertionPoint == null) {\n if (ctx.callbacks.beforeNodeAdded(newChild) === false) return;\n\n oldParent.appendChild(newChild);\n ctx.callbacks.afterNodeAdded(newChild);\n removeIdsFromConsideration(ctx, newChild);\n continue;\n }\n\n // if the current node has an id set match then morph\n if (isIdSetMatch(newChild, insertionPoint, ctx)) {\n morphOldNodeTo(insertionPoint, newChild, ctx);\n insertionPoint = insertionPoint.nextSibling;\n removeIdsFromConsideration(ctx, newChild);\n continue;\n }\n\n // otherwise search forward in the existing old children for an id set match\n let idSetMatch = findIdSetMatch(newParent, oldParent, newChild, insertionPoint, ctx);\n\n // if we found a potential match, remove the nodes until that point and morph\n if (idSetMatch) {\n insertionPoint = removeNodesBetween(insertionPoint, idSetMatch, ctx);\n morphOldNodeTo(idSetMatch, newChild, ctx);\n removeIdsFromConsideration(ctx, newChild);\n continue;\n }\n\n // no id set match found, so scan forward for a soft match for the current node\n let softMatch = findSoftMatch(newParent, oldParent, newChild, insertionPoint, ctx);\n\n // if we found a soft match for the current node, morph\n if (softMatch) {\n insertionPoint = removeNodesBetween(insertionPoint, softMatch, ctx);\n morphOldNodeTo(softMatch, newChild, ctx);\n removeIdsFromConsideration(ctx, newChild);\n continue;\n }\n\n // abandon all hope of morphing, just insert the new child before the insertion point\n // and move on\n if (ctx.callbacks.beforeNodeAdded(newChild) === false) return;\n\n oldParent.insertBefore(newChild, insertionPoint);\n ctx.callbacks.afterNodeAdded(newChild);\n removeIdsFromConsideration(ctx, newChild);\n }\n\n // remove any remaining old nodes that didn't match up with new content\n while (insertionPoint !== null) {\n\n let tempNode = insertionPoint;\n insertionPoint = insertionPoint.nextSibling;\n removeNode(tempNode, ctx);\n }\n }\n\n //=============================================================================\n // Attribute Syncing Code\n //=============================================================================\n\n /**\n * @param attr {String} the attribute to be mutated\n * @param to {Element} the element that is going to be updated\n * @param updateType {(\"update\"|\"remove\")}\n * @param ctx the merge context\n * @returns {boolean} true if the attribute should be ignored, false otherwise\n */\n function ignoreAttribute(attr, to, updateType, ctx) {\n if(attr === 'value' && ctx.ignoreActiveValue && to === document.activeElement){\n return true;\n }\n return ctx.callbacks.beforeAttributeUpdated(attr, to, updateType) === false;\n }\n\n /**\n * syncs a given node with another node, copying over all attributes and\n * inner element state from the 'from' node to the 'to' node\n *\n * @param {Element} from the element to copy attributes & state from\n * @param {Element} to the element to copy attributes & state to\n * @param ctx the merge context\n */\n function syncNodeFrom(from, to, ctx) {\n let type = from.nodeType;\n\n // if is an element type, sync the attributes from the\n // new node into the new node\n if (type === 1 /* element type */) {\n const fromAttributes = from.attributes;\n const toAttributes = to.attributes;\n for (const fromAttribute of fromAttributes) {\n if (ignoreAttribute(fromAttribute.name, to, 'update', ctx)) {\n continue;\n }\n if (to.getAttribute(fromAttribute.name) !== fromAttribute.value) {\n to.setAttribute(fromAttribute.name, fromAttribute.value);\n }\n }\n // iterate backwards to avoid skipping over items when a delete occurs\n for (let i = toAttributes.length - 1; 0 <= i; i--) {\n const toAttribute = toAttributes[i];\n if (ignoreAttribute(toAttribute.name, to, 'remove', ctx)) {\n continue;\n }\n if (!from.hasAttribute(toAttribute.name)) {\n to.removeAttribute(toAttribute.name);\n }\n }\n }\n\n // sync text nodes\n if (type === 8 /* comment */ || type === 3 /* text */) {\n if (to.nodeValue !== from.nodeValue) {\n to.nodeValue = from.nodeValue;\n }\n }\n\n if (!ignoreValueOfActiveElement(to, ctx)) {\n // sync input values\n syncInputValue(from, to, ctx);\n }\n }\n\n /**\n * @param from {Element} element to sync the value from\n * @param to {Element} element to sync the value to\n * @param attributeName {String} the attribute name\n * @param ctx the merge context\n */\n function syncBooleanAttribute(from, to, attributeName, ctx) {\n if (from[attributeName] !== to[attributeName]) {\n let ignoreUpdate = ignoreAttribute(attributeName, to, 'update', ctx);\n if (!ignoreUpdate) {\n to[attributeName] = from[attributeName];\n }\n if (from[attributeName]) {\n if (!ignoreUpdate) {\n to.setAttribute(attributeName, from[attributeName]);\n }\n } else {\n if (!ignoreAttribute(attributeName, to, 'remove', ctx)) {\n to.removeAttribute(attributeName);\n }\n }\n }\n }\n\n /**\n * NB: many bothans died to bring us information:\n *\n * https://github.com/patrick-steele-idem/morphdom/blob/master/src/specialElHandlers.js\n * https://github.com/choojs/nanomorph/blob/master/lib/morph.jsL113\n *\n * @param from {Element} the element to sync the input value from\n * @param to {Element} the element to sync the input value to\n * @param ctx the merge context\n */\n function syncInputValue(from, to, ctx) {\n if (from instanceof HTMLInputElement &&\n to instanceof HTMLInputElement &&\n from.type !== 'file') {\n\n let fromValue = from.value;\n let toValue = to.value;\n\n // sync boolean attributes\n syncBooleanAttribute(from, to, 'checked', ctx);\n syncBooleanAttribute(from, to, 'disabled', ctx);\n\n if (!from.hasAttribute('value')) {\n if (!ignoreAttribute('value', to, 'remove', ctx)) {\n to.value = '';\n to.removeAttribute('value');\n }\n } else if (fromValue !== toValue) {\n if (!ignoreAttribute('value', to, 'update', ctx)) {\n to.setAttribute('value', fromValue);\n to.value = fromValue;\n }\n }\n } else if (from instanceof HTMLOptionElement) {\n syncBooleanAttribute(from, to, 'selected', ctx);\n } else if (from instanceof HTMLTextAreaElement && to instanceof HTMLTextAreaElement) {\n let fromValue = from.value;\n let toValue = to.value;\n if (ignoreAttribute('value', to, 'update', ctx)) {\n return;\n }\n if (fromValue !== toValue) {\n to.value = fromValue;\n }\n if (to.firstChild && to.firstChild.nodeValue !== fromValue) {\n to.firstChild.nodeValue = fromValue;\n }\n }\n }\n\n //=============================================================================\n // the HEAD tag can be handled specially, either w/ a 'merge' or 'append' style\n //=============================================================================\n function handleHeadElement(newHeadTag, currentHead, ctx) {\n\n let added = [];\n let removed = [];\n let preserved = [];\n let nodesToAppend = [];\n\n let headMergeStyle = ctx.head.style;\n\n // put all new head elements into a Map, by their outerHTML\n let srcToNewHeadNodes = new Map();\n for (const newHeadChild of newHeadTag.children) {\n srcToNewHeadNodes.set(newHeadChild.outerHTML, newHeadChild);\n }\n\n // for each elt in the current head\n for (const currentHeadElt of currentHead.children) {\n\n // If the current head element is in the map\n let inNewContent = srcToNewHeadNodes.has(currentHeadElt.outerHTML);\n let isReAppended = ctx.head.shouldReAppend(currentHeadElt);\n let isPreserved = ctx.head.shouldPreserve(currentHeadElt);\n if (inNewContent || isPreserved) {\n if (isReAppended) {\n // remove the current version and let the new version replace it and re-execute\n removed.push(currentHeadElt);\n } else {\n // this element already exists and should not be re-appended, so remove it from\n // the new content map, preserving it in the DOM\n srcToNewHeadNodes.delete(currentHeadElt.outerHTML);\n preserved.push(currentHeadElt);\n }\n } else {\n if (headMergeStyle === \"append\") {\n // we are appending and this existing element is not new content\n // so if and only if it is marked for re-append do we do anything\n if (isReAppended) {\n removed.push(currentHeadElt);\n nodesToAppend.push(currentHeadElt);\n }\n } else {\n // if this is a merge, we remove this content since it is not in the new head\n if (ctx.head.shouldRemove(currentHeadElt) !== false) {\n removed.push(currentHeadElt);\n }\n }\n }\n }\n\n // Push the remaining new head elements in the Map into the\n // nodes to append to the head tag\n nodesToAppend.push(...srcToNewHeadNodes.values());\n\n let promises = [];\n for (const newNode of nodesToAppend) {\n let newElt = document.createRange().createContextualFragment(newNode.outerHTML).firstChild;\n if (ctx.callbacks.beforeNodeAdded(newElt) !== false) {\n if (newElt.href || newElt.src) {\n let resolve = null;\n let promise = new Promise(function (_resolve) {\n resolve = _resolve;\n });\n newElt.addEventListener('load', function () {\n resolve();\n });\n promises.push(promise);\n }\n currentHead.appendChild(newElt);\n ctx.callbacks.afterNodeAdded(newElt);\n added.push(newElt);\n }\n }\n\n // remove all removed elements, after we have appended the new elements to avoid\n // additional network requests for things like style sheets\n for (const removedElement of removed) {\n if (ctx.callbacks.beforeNodeRemoved(removedElement) !== false) {\n currentHead.removeChild(removedElement);\n ctx.callbacks.afterNodeRemoved(removedElement);\n }\n }\n\n ctx.head.afterHeadMorphed(currentHead, {added: added, kept: preserved, removed: removed});\n return promises;\n }\n\n function noOp() {\n }\n\n /*\n Deep merges the config object and the Idiomoroph.defaults object to\n produce a final configuration object\n */\n function mergeDefaults(config) {\n let finalConfig = {};\n // copy top level stuff into final config\n Object.assign(finalConfig, defaults);\n Object.assign(finalConfig, config);\n\n // copy callbacks into final config (do this to deep merge the callbacks)\n finalConfig.callbacks = {};\n Object.assign(finalConfig.callbacks, defaults.callbacks);\n Object.assign(finalConfig.callbacks, config.callbacks);\n\n // copy head config into final config (do this to deep merge the head)\n finalConfig.head = {};\n Object.assign(finalConfig.head, defaults.head);\n Object.assign(finalConfig.head, config.head);\n return finalConfig;\n }\n\n function createMorphContext(oldNode, newContent, config) {\n config = mergeDefaults(config);\n return {\n target: oldNode,\n newContent: newContent,\n config: config,\n morphStyle: config.morphStyle,\n ignoreActive: config.ignoreActive,\n ignoreActiveValue: config.ignoreActiveValue,\n idMap: createIdMap(oldNode, newContent),\n deadIds: new Set(),\n callbacks: config.callbacks,\n head: config.head\n }\n }\n\n function isIdSetMatch(node1, node2, ctx) {\n if (node1 == null || node2 == null) {\n return false;\n }\n if (node1.nodeType === node2.nodeType && node1.tagName === node2.tagName) {\n if (node1.id !== \"\" && node1.id === node2.id) {\n return true;\n } else {\n return getIdIntersectionCount(ctx, node1, node2) > 0;\n }\n }\n return false;\n }\n\n function isSoftMatch(node1, node2) {\n if (node1 == null || node2 == null) {\n return false;\n }\n return node1.nodeType === node2.nodeType && node1.tagName === node2.tagName\n }\n\n function removeNodesBetween(startInclusive, endExclusive, ctx) {\n while (startInclusive !== endExclusive) {\n let tempNode = startInclusive;\n startInclusive = startInclusive.nextSibling;\n removeNode(tempNode, ctx);\n }\n removeIdsFromConsideration(ctx, endExclusive);\n return endExclusive.nextSibling;\n }\n\n //=============================================================================\n // Scans forward from the insertionPoint in the old parent looking for a potential id match\n // for the newChild. We stop if we find a potential id match for the new child OR\n // if the number of potential id matches we are discarding is greater than the\n // potential id matches for the new child\n //=============================================================================\n function findIdSetMatch(newContent, oldParent, newChild, insertionPoint, ctx) {\n\n // max id matches we are willing to discard in our search\n let newChildPotentialIdCount = getIdIntersectionCount(ctx, newChild, oldParent);\n\n let potentialMatch = null;\n\n // only search forward if there is a possibility of an id match\n if (newChildPotentialIdCount > 0) {\n let potentialMatch = insertionPoint;\n // if there is a possibility of an id match, scan forward\n // keep track of the potential id match count we are discarding (the\n // newChildPotentialIdCount must be greater than this to make it likely\n // worth it)\n let otherMatchCount = 0;\n while (potentialMatch != null) {\n\n // If we have an id match, return the current potential match\n if (isIdSetMatch(newChild, potentialMatch, ctx)) {\n return potentialMatch;\n }\n\n // computer the other potential matches of this new content\n otherMatchCount += getIdIntersectionCount(ctx, potentialMatch, newContent);\n if (otherMatchCount > newChildPotentialIdCount) {\n // if we have more potential id matches in _other_ content, we\n // do not have a good candidate for an id match, so return null\n return null;\n }\n\n // advanced to the next old content child\n potentialMatch = potentialMatch.nextSibling;\n }\n }\n return potentialMatch;\n }\n\n //=============================================================================\n // Scans forward from the insertionPoint in the old parent looking for a potential soft match\n // for the newChild. We stop if we find a potential soft match for the new child OR\n // if we find a potential id match in the old parents children OR if we find two\n // potential soft matches for the next two pieces of new content\n //=============================================================================\n function findSoftMatch(newContent, oldParent, newChild, insertionPoint, ctx) {\n\n let potentialSoftMatch = insertionPoint;\n let nextSibling = newChild.nextSibling;\n let siblingSoftMatchCount = 0;\n\n while (potentialSoftMatch != null) {\n\n if (getIdIntersectionCount(ctx, potentialSoftMatch, newContent) > 0) {\n // the current potential soft match has a potential id set match with the remaining new\n // content so bail out of looking\n return null;\n }\n\n // if we have a soft match with the current node, return it\n if (isSoftMatch(newChild, potentialSoftMatch)) {\n return potentialSoftMatch;\n }\n\n if (isSoftMatch(nextSibling, potentialSoftMatch)) {\n // the next new node has a soft match with this node, so\n // increment the count of future soft matches\n siblingSoftMatchCount++;\n nextSibling = nextSibling.nextSibling;\n\n // If there are two future soft matches, bail to allow the siblings to soft match\n // so that we don't consume future soft matches for the sake of the current node\n if (siblingSoftMatchCount >= 2) {\n return null;\n }\n }\n\n // advanced to the next old content child\n potentialSoftMatch = potentialSoftMatch.nextSibling;\n }\n\n return potentialSoftMatch;\n }\n\n function parseContent(newContent) {\n let parser = new DOMParser();\n\n // remove svgs to avoid false-positive matches on head, etc.\n let contentWithSvgsRemoved = newContent.replace(/<svg(\\s[^>]*>|>)([\\s\\S]*?)<\\/svg>/gim, '');\n\n // if the newContent contains a html, head or body tag, we can simply parse it w/o wrapping\n if (contentWithSvgsRemoved.match(/<\\/html>/) || contentWithSvgsRemoved.match(/<\\/head>/) || contentWithSvgsRemoved.match(/<\\/body>/)) {\n let content = parser.parseFromString(newContent, \"text/html\");\n // if it is a full HTML document, return the document itself as the parent container\n if (contentWithSvgsRemoved.match(/<\\/html>/)) {\n content.generatedByIdiomorph = true;\n return content;\n } else {\n // otherwise return the html element as the parent container\n let htmlElement = content.firstChild;\n if (htmlElement) {\n htmlElement.generatedByIdiomorph = true;\n return htmlElement;\n } else {\n return null;\n }\n }\n } else {\n // if it is partial HTML, wrap it in a template tag to provide a parent element and also to help\n // deal with touchy tags like tr, tbody, etc.\n let responseDoc = parser.parseFromString(\"<body><template>\" + newContent + \"</template></body>\", \"text/html\");\n let content = responseDoc.body.querySelector('template').content;\n content.generatedByIdiomorph = true;\n return content\n }\n }\n\n function normalizeContent(newContent) {\n if (newContent == null) {\n // noinspection UnnecessaryLocalVariableJS\n const dummyParent = document.createElement('div');\n return dummyParent;\n } else if (newContent.generatedByIdiomorph) {\n // the template tag created by idiomorph parsing can serve as a dummy parent\n return newContent;\n } else if (newContent instanceof Node) {\n // a single node is added as a child to a dummy parent\n const dummyParent = document.createElement('div');\n dummyParent.append(newContent);\n return dummyParent;\n } else {\n // all nodes in the array or HTMLElement collection are consolidated under\n // a single dummy parent element\n const dummyParent = document.createElement('div');\n for (const elt of [...newContent]) {\n dummyParent.append(elt);\n }\n return dummyParent;\n }\n }\n\n function insertSiblings(previousSibling, morphedNode, nextSibling) {\n let stack = [];\n let added = [];\n while (previousSibling != null) {\n stack.push(previousSibling);\n previousSibling = previousSibling.previousSibling;\n }\n while (stack.length > 0) {\n let node = stack.pop();\n added.push(node); // push added preceding siblings on in order and insert\n morphedNode.parentElement.insertBefore(node, morphedNode);\n }\n added.push(morphedNode);\n while (nextSibling != null) {\n stack.push(nextSibling);\n added.push(nextSibling); // here we are going in order, so push on as we scan, rather than add\n nextSibling = nextSibling.nextSibling;\n }\n while (stack.length > 0) {\n morphedNode.parentElement.insertBefore(stack.pop(), morphedNode.nextSibling);\n }\n return added;\n }\n\n function findBestNodeMatch(newContent, oldNode, ctx) {\n let currentElement;\n currentElement = newContent.firstChild;\n let bestElement = currentElement;\n let score = 0;\n while (currentElement) {\n let newScore = scoreElement(currentElement, oldNode, ctx);\n if (newScore > score) {\n bestElement = currentElement;\n score = newScore;\n }\n currentElement = currentElement.nextSibling;\n }\n return bestElement;\n }\n\n function scoreElement(node1, node2, ctx) {\n if (isSoftMatch(node1, node2)) {\n return .5 + getIdIntersectionCount(ctx, node1, node2);\n }\n return 0;\n }\n\n function removeNode(tempNode, ctx) {\n removeIdsFromConsideration(ctx, tempNode);\n if (ctx.callbacks.beforeNodeRemoved(tempNode) === false) return;\n\n tempNode.remove();\n ctx.callbacks.afterNodeRemoved(tempNode);\n }\n\n //=============================================================================\n // ID Set Functions\n //=============================================================================\n\n function isIdInConsideration(ctx, id) {\n return !ctx.deadIds.has(id);\n }\n\n function idIsWithinNode(ctx, id, targetNode) {\n let idSet = ctx.idMap.get(targetNode) || EMPTY_SET;\n return idSet.has(id);\n }\n\n function removeIdsFromConsideration(ctx, node) {\n let idSet = ctx.idMap.get(node) || EMPTY_SET;\n for (const id of idSet) {\n ctx.deadIds.add(id);\n }\n }\n\n function getIdIntersectionCount(ctx, node1, node2) {\n let sourceSet = ctx.idMap.get(node1) || EMPTY_SET;\n let matchCount = 0;\n for (const id of sourceSet) {\n // a potential match is an id in the source and potentialIdsSet, but\n // that has not already been merged into the DOM\n if (isIdInConsideration(ctx, id) && idIsWithinNode(ctx, id, node2)) {\n ++matchCount;\n }\n }\n return matchCount;\n }\n\n /**\n * A bottom up algorithm that finds all elements with ids inside of the node\n * argument and populates id sets for those nodes and all their parents, generating\n * a set of ids contained within all nodes for the entire hierarchy in the DOM\n *\n * @param node {Element}\n * @param {Map<Node, Set<String>>} idMap\n */\n function populateIdMapForNode(node, idMap) {\n let nodeParent = node.parentElement;\n // find all elements with an id property\n let idElements = node.querySelectorAll('[id]');\n for (const elt of idElements) {\n let current = elt;\n // walk up the parent hierarchy of that element, adding the id\n // of element to the parent's id set\n while (current !== nodeParent && current != null) {\n let idSet = idMap.get(current);\n // if the id set doesn't exist, create it and insert it in the map\n if (idSet == null) {\n idSet = new Set();\n idMap.set(current, idSet);\n }\n idSet.add(elt.id);\n current = current.parentElement;\n }\n }\n }\n\n /**\n * This function computes a map of nodes to all ids contained within that node (inclusive of the\n * node). This map can be used to ask if two nodes have intersecting sets of ids, which allows\n * for a looser definition of \"matching\" than tradition id matching, and allows child nodes\n * to contribute to a parent nodes matching.\n *\n * @param {Element} oldContent the old content that will be morphed\n * @param {Element} newContent the new content to morph to\n * @returns {Map<Node, Set<String>>} a map of nodes to id sets for the\n */\n function createIdMap(oldContent, newContent) {\n let idMap = new Map();\n populateIdMapForNode(oldContent, idMap);\n populateIdMapForNode(newContent, idMap);\n return idMap;\n }\n\n //=============================================================================\n // This is what ends up becoming the Idiomorph global object\n //=============================================================================\n return {\n morph,\n defaults\n }\n })();\n\nfunction morphElements(currentElement, newElement, { callbacks, ...options } = {}) {\n Idiomorph.morph(currentElement, newElement, {\n ...options,\n callbacks: new DefaultIdiomorphCallbacks(callbacks)\n });\n}\n\nfunction morphChildren(currentElement, newElement) {\n morphElements(currentElement, newElement.children, {\n morphStyle: \"innerHTML\"\n });\n}\n\nclass DefaultIdiomorphCallbacks {\n #beforeNodeMorphed\n\n constructor({ beforeNodeMorphed } = {}) {\n this.#beforeNodeMorphed = beforeNodeMorphed || (() => true);\n }\n\n beforeNodeAdded = (node) => {\n return !(node.id && node.hasAttribute(\"data-turbo-permanent\") && document.getElementById(node.id))\n }\n\n beforeNodeMorphed = (currentElement, newElement) => {\n if (currentElement instanceof Element) {\n if (!currentElement.hasAttribute(\"data-turbo-permanent\") && this.#beforeNodeMorphed(currentElement, newElement)) {\n const event = dispatch(\"turbo:before-morph-element\", {\n cancelable: true,\n target: currentElement,\n detail: { currentElement, newElement }\n });\n\n return !event.defaultPrevented\n } else {\n return false\n }\n }\n }\n\n beforeAttributeUpdated = (attributeName, target, mutationType) => {\n const event = dispatch(\"turbo:before-morph-attribute\", {\n cancelable: true,\n target,\n detail: { attributeName, mutationType }\n });\n\n return !event.defaultPrevented\n }\n\n beforeNodeRemoved = (node) => {\n return this.beforeNodeMorphed(node)\n }\n\n afterNodeMorphed = (currentElement, newElement) => {\n if (currentElement instanceof Element) {\n dispatch(\"turbo:morph-element\", {\n target: currentElement,\n detail: { currentElement, newElement }\n });\n }\n }\n}\n\nclass MorphingFrameRenderer extends FrameRenderer {\n static renderElement(currentElement, newElement) {\n dispatch(\"turbo:before-frame-morph\", {\n target: currentElement,\n detail: { currentElement, newElement }\n });\n\n morphChildren(currentElement, newElement);\n }\n}\n\nclass PageRenderer extends Renderer {\n static renderElement(currentElement, newElement) {\n if (document.body && newElement instanceof HTMLBodyElement) {\n document.body.replaceWith(newElement);\n } else {\n document.documentElement.appendChild(newElement);\n }\n }\n\n get shouldRender() {\n return this.newSnapshot.isVisitable && this.trackedElementsAreIdentical\n }\n\n get reloadReason() {\n if (!this.newSnapshot.isVisitable) {\n return {\n reason: \"turbo_visit_control_is_reload\"\n }\n }\n\n if (!this.trackedElementsAreIdentical) {\n return {\n reason: \"tracked_element_mismatch\"\n }\n }\n }\n\n async prepareToRender() {\n this.#setLanguage();\n await this.mergeHead();\n }\n\n async render() {\n if (this.willRender) {\n await this.replaceBody();\n }\n }\n\n finishRendering() {\n super.finishRendering();\n if (!this.isPreview) {\n this.focusFirstAutofocusableElement();\n }\n }\n\n get currentHeadSnapshot() {\n return this.currentSnapshot.headSnapshot\n }\n\n get newHeadSnapshot() {\n return this.newSnapshot.headSnapshot\n }\n\n get newElement() {\n return this.newSnapshot.element\n }\n\n #setLanguage() {\n const { documentElement } = this.currentSnapshot;\n const { lang } = this.newSnapshot;\n\n if (lang) {\n documentElement.setAttribute(\"lang\", lang);\n } else {\n documentElement.removeAttribute(\"lang\");\n }\n }\n\n async mergeHead() {\n const mergedHeadElements = this.mergeProvisionalElements();\n const newStylesheetElements = this.copyNewHeadStylesheetElements();\n this.copyNewHeadScriptElements();\n\n await mergedHeadElements;\n await newStylesheetElements;\n\n if (this.willRender) {\n this.removeUnusedDynamicStylesheetElements();\n }\n }\n\n async replaceBody() {\n await this.preservingPermanentElements(async () => {\n this.activateNewBody();\n await this.assignNewBody();\n });\n }\n\n get trackedElementsAreIdentical() {\n return this.currentHeadSnapshot.trackedElementSignature == this.newHeadSnapshot.trackedElementSignature\n }\n\n async copyNewHeadStylesheetElements() {\n const loadingElements = [];\n\n for (const element of this.newHeadStylesheetElements) {\n loadingElements.push(waitForLoad(element));\n\n document.head.appendChild(element);\n }\n\n await Promise.all(loadingElements);\n }\n\n copyNewHeadScriptElements() {\n for (const element of this.newHeadScriptElements) {\n document.head.appendChild(activateScriptElement(element));\n }\n }\n\n removeUnusedDynamicStylesheetElements() {\n for (const element of this.unusedDynamicStylesheetElements) {\n document.head.removeChild(element);\n }\n }\n\n async mergeProvisionalElements() {\n const newHeadElements = [...this.newHeadProvisionalElements];\n\n for (const element of this.currentHeadProvisionalElements) {\n if (!this.isCurrentElementInElementList(element, newHeadElements)) {\n document.head.removeChild(element);\n }\n }\n\n for (const element of newHeadElements) {\n document.head.appendChild(element);\n }\n }\n\n isCurrentElementInElementList(element, elementList) {\n for (const [index, newElement] of elementList.entries()) {\n // if title element...\n if (element.tagName == \"TITLE\") {\n if (newElement.tagName != \"TITLE\") {\n continue\n }\n if (element.innerHTML == newElement.innerHTML) {\n elementList.splice(index, 1);\n return true\n }\n }\n\n // if any other element...\n if (newElement.isEqualNode(element)) {\n elementList.splice(index, 1);\n return true\n }\n }\n\n return false\n }\n\n removeCurrentHeadProvisionalElements() {\n for (const element of this.currentHeadProvisionalElements) {\n document.head.removeChild(element);\n }\n }\n\n copyNewHeadProvisionalElements() {\n for (const element of this.newHeadProvisionalElements) {\n document.head.appendChild(element);\n }\n }\n\n activateNewBody() {\n document.adoptNode(this.newElement);\n this.activateNewBodyScriptElements();\n }\n\n activateNewBodyScriptElements() {\n for (const inertScriptElement of this.newBodyScriptElements) {\n const activatedScriptElement = activateScriptElement(inertScriptElement);\n inertScriptElement.replaceWith(activatedScriptElement);\n }\n }\n\n async assignNewBody() {\n await this.renderElement(this.currentElement, this.newElement);\n }\n\n get unusedDynamicStylesheetElements() {\n return this.oldHeadStylesheetElements.filter((element) => {\n return element.getAttribute(\"data-turbo-track\") === \"dynamic\"\n })\n }\n\n get oldHeadStylesheetElements() {\n return this.currentHeadSnapshot.getStylesheetElementsNotInSnapshot(this.newHeadSnapshot)\n }\n\n get newHeadStylesheetElements() {\n return this.newHeadSnapshot.getStylesheetElementsNotInSnapshot(this.currentHeadSnapshot)\n }\n\n get newHeadScriptElements() {\n return this.newHeadSnapshot.getScriptElementsNotInSnapshot(this.currentHeadSnapshot)\n }\n\n get currentHeadProvisionalElements() {\n return this.currentHeadSnapshot.provisionalElements\n }\n\n get newHeadProvisionalElements() {\n return this.newHeadSnapshot.provisionalElements\n }\n\n get newBodyScriptElements() {\n return this.newElement.querySelectorAll(\"script\")\n }\n}\n\nclass MorphingPageRenderer extends PageRenderer {\n static renderElement(currentElement, newElement) {\n morphElements(currentElement, newElement, {\n callbacks: {\n beforeNodeMorphed: element => !canRefreshFrame(element)\n }\n });\n\n for (const frame of currentElement.querySelectorAll(\"turbo-frame\")) {\n if (canRefreshFrame(frame)) refreshFrame(frame);\n }\n\n dispatch(\"turbo:morph\", { detail: { currentElement, newElement } });\n }\n\n async preservingPermanentElements(callback) {\n return await callback()\n }\n\n get renderMethod() {\n return \"morph\"\n }\n\n get shouldAutofocus() {\n return false\n }\n}\n\nfunction canRefreshFrame(frame) {\n return frame instanceof FrameElement &&\n frame.src &&\n frame.refresh === \"morph\" &&\n !frame.closest(\"[data-turbo-permanent]\")\n}\n\nfunction refreshFrame(frame) {\n frame.addEventListener(\"turbo:before-frame-render\", ({ detail }) => {\n detail.render = MorphingFrameRenderer.renderElement;\n }, { once: true });\n\n frame.reload();\n}\n\nclass SnapshotCache {\n keys = []\n snapshots = {}\n\n constructor(size) {\n this.size = size;\n }\n\n has(location) {\n return toCacheKey(location) in this.snapshots\n }\n\n get(location) {\n if (this.has(location)) {\n const snapshot = this.read(location);\n this.touch(location);\n return snapshot\n }\n }\n\n put(location, snapshot) {\n this.write(location, snapshot);\n this.touch(location);\n return snapshot\n }\n\n clear() {\n this.snapshots = {};\n }\n\n // Private\n\n read(location) {\n return this.snapshots[toCacheKey(location)]\n }\n\n write(location, snapshot) {\n this.snapshots[toCacheKey(location)] = snapshot;\n }\n\n touch(location) {\n const key = toCacheKey(location);\n const index = this.keys.indexOf(key);\n if (index > -1) this.keys.splice(index, 1);\n this.keys.unshift(key);\n this.trim();\n }\n\n trim() {\n for (const key of this.keys.splice(this.size)) {\n delete this.snapshots[key];\n }\n }\n}\n\nclass PageView extends View {\n snapshotCache = new SnapshotCache(10)\n lastRenderedLocation = new URL(location.href)\n forceReloaded = false\n\n shouldTransitionTo(newSnapshot) {\n return this.snapshot.prefersViewTransitions && newSnapshot.prefersViewTransitions\n }\n\n renderPage(snapshot, isPreview = false, willRender = true, visit) {\n const shouldMorphPage = this.isPageRefresh(visit) && this.snapshot.shouldMorphPage;\n const rendererClass = shouldMorphPage ? MorphingPageRenderer : PageRenderer;\n\n const renderer = new rendererClass(this.snapshot, snapshot, rendererClass.renderElement, isPreview, willRender);\n\n if (!renderer.shouldRender) {\n this.forceReloaded = true;\n } else {\n visit?.changeHistory();\n }\n\n return this.render(renderer)\n }\n\n renderError(snapshot, visit) {\n visit?.changeHistory();\n const renderer = new ErrorRenderer(this.snapshot, snapshot, ErrorRenderer.renderElement, false);\n return this.render(renderer)\n }\n\n clearSnapshotCache() {\n this.snapshotCache.clear();\n }\n\n async cacheSnapshot(snapshot = this.snapshot) {\n if (snapshot.isCacheable) {\n this.delegate.viewWillCacheSnapshot();\n const { lastRenderedLocation: location } = this;\n await nextEventLoopTick();\n const cachedSnapshot = snapshot.clone();\n this.snapshotCache.put(location, cachedSnapshot);\n return cachedSnapshot\n }\n }\n\n getCachedSnapshotForLocation(location) {\n return this.snapshotCache.get(location)\n }\n\n isPageRefresh(visit) {\n return !visit || (this.lastRenderedLocation.pathname === visit.location.pathname && visit.action === \"replace\")\n }\n\n shouldPreserveScrollPosition(visit) {\n return this.isPageRefresh(visit) && this.snapshot.shouldPreserveScrollPosition\n }\n\n get snapshot() {\n return PageSnapshot.fromElement(this.element)\n }\n}\n\nclass Preloader {\n selector = \"a[data-turbo-preload]\"\n\n constructor(delegate, snapshotCache) {\n this.delegate = delegate;\n this.snapshotCache = snapshotCache;\n }\n\n start() {\n if (document.readyState === \"loading\") {\n document.addEventListener(\"DOMContentLoaded\", this.#preloadAll);\n } else {\n this.preloadOnLoadLinksForView(document.body);\n }\n }\n\n stop() {\n document.removeEventListener(\"DOMContentLoaded\", this.#preloadAll);\n }\n\n preloadOnLoadLinksForView(element) {\n for (const link of element.querySelectorAll(this.selector)) {\n if (this.delegate.shouldPreloadLink(link)) {\n this.preloadURL(link);\n }\n }\n }\n\n async preloadURL(link) {\n const location = new URL(link.href);\n\n if (this.snapshotCache.has(location)) {\n return\n }\n\n const fetchRequest = new FetchRequest(this, FetchMethod.get, location, new URLSearchParams(), link);\n await fetchRequest.perform();\n }\n\n // Fetch request delegate\n\n prepareRequest(fetchRequest) {\n fetchRequest.headers[\"X-Sec-Purpose\"] = \"prefetch\";\n }\n\n async requestSucceededWithResponse(fetchRequest, fetchResponse) {\n try {\n const responseHTML = await fetchResponse.responseHTML;\n const snapshot = PageSnapshot.fromHTMLString(responseHTML);\n\n this.snapshotCache.put(fetchRequest.url, snapshot);\n } catch (_) {\n // If we cannot preload that is ok!\n }\n }\n\n requestStarted(fetchRequest) {}\n\n requestErrored(fetchRequest) {}\n\n requestFinished(fetchRequest) {}\n\n requestPreventedHandlingResponse(fetchRequest, fetchResponse) {}\n\n requestFailedWithResponse(fetchRequest, fetchResponse) {}\n\n #preloadAll = () => {\n this.preloadOnLoadLinksForView(document.body);\n }\n}\n\nclass Cache {\n constructor(session) {\n this.session = session;\n }\n\n clear() {\n this.session.clearCache();\n }\n\n resetCacheControl() {\n this.#setCacheControl(\"\");\n }\n\n exemptPageFromCache() {\n this.#setCacheControl(\"no-cache\");\n }\n\n exemptPageFromPreview() {\n this.#setCacheControl(\"no-preview\");\n }\n\n #setCacheControl(value) {\n setMetaContent(\"turbo-cache-control\", value);\n }\n}\n\nclass Session {\n navigator = new Navigator(this)\n history = new History(this)\n view = new PageView(this, document.documentElement)\n adapter = new BrowserAdapter(this)\n\n pageObserver = new PageObserver(this)\n cacheObserver = new CacheObserver()\n linkPrefetchObserver = new LinkPrefetchObserver(this, document)\n linkClickObserver = new LinkClickObserver(this, window)\n formSubmitObserver = new FormSubmitObserver(this, document)\n scrollObserver = new ScrollObserver(this)\n streamObserver = new StreamObserver(this)\n formLinkClickObserver = new FormLinkClickObserver(this, document.documentElement)\n frameRedirector = new FrameRedirector(this, document.documentElement)\n streamMessageRenderer = new StreamMessageRenderer()\n cache = new Cache(this)\n\n drive = true\n enabled = true\n progressBarDelay = 500\n started = false\n formMode = \"on\"\n #pageRefreshDebouncePeriod = 150\n\n constructor(recentRequests) {\n this.recentRequests = recentRequests;\n this.preloader = new Preloader(this, this.view.snapshotCache);\n this.debouncedRefresh = this.refresh;\n this.pageRefreshDebouncePeriod = this.pageRefreshDebouncePeriod;\n }\n\n start() {\n if (!this.started) {\n this.pageObserver.start();\n this.cacheObserver.start();\n this.linkPrefetchObserver.start();\n this.formLinkClickObserver.start();\n this.linkClickObserver.start();\n this.formSubmitObserver.start();\n this.scrollObserver.start();\n this.streamObserver.start();\n this.frameRedirector.start();\n this.history.start();\n this.preloader.start();\n this.started = true;\n this.enabled = true;\n }\n }\n\n disable() {\n this.enabled = false;\n }\n\n stop() {\n if (this.started) {\n this.pageObserver.stop();\n this.cacheObserver.stop();\n this.linkPrefetchObserver.stop();\n this.formLinkClickObserver.stop();\n this.linkClickObserver.stop();\n this.formSubmitObserver.stop();\n this.scrollObserver.stop();\n this.streamObserver.stop();\n this.frameRedirector.stop();\n this.history.stop();\n this.preloader.stop();\n this.started = false;\n }\n }\n\n registerAdapter(adapter) {\n this.adapter = adapter;\n }\n\n visit(location, options = {}) {\n const frameElement = options.frame ? document.getElementById(options.frame) : null;\n\n if (frameElement instanceof FrameElement) {\n const action = options.action || getVisitAction(frameElement);\n\n frameElement.delegate.proposeVisitIfNavigatedWithAction(frameElement, action);\n frameElement.src = location.toString();\n } else {\n this.navigator.proposeVisit(expandURL(location), options);\n }\n }\n\n refresh(url, requestId) {\n const isRecentRequest = requestId && this.recentRequests.has(requestId);\n if (!isRecentRequest && !this.navigator.currentVisit) {\n this.visit(url, { action: \"replace\", shouldCacheSnapshot: false });\n }\n }\n\n connectStreamSource(source) {\n this.streamObserver.connectStreamSource(source);\n }\n\n disconnectStreamSource(source) {\n this.streamObserver.disconnectStreamSource(source);\n }\n\n renderStreamMessage(message) {\n this.streamMessageRenderer.render(StreamMessage.wrap(message));\n }\n\n clearCache() {\n this.view.clearSnapshotCache();\n }\n\n setProgressBarDelay(delay) {\n this.progressBarDelay = delay;\n }\n\n setFormMode(mode) {\n this.formMode = mode;\n }\n\n get location() {\n return this.history.location\n }\n\n get restorationIdentifier() {\n return this.history.restorationIdentifier\n }\n\n get pageRefreshDebouncePeriod() {\n return this.#pageRefreshDebouncePeriod\n }\n\n set pageRefreshDebouncePeriod(value) {\n this.refresh = debounce(this.debouncedRefresh.bind(this), value);\n this.#pageRefreshDebouncePeriod = value;\n }\n\n // Preloader delegate\n\n shouldPreloadLink(element) {\n const isUnsafe = element.hasAttribute(\"data-turbo-method\");\n const isStream = element.hasAttribute(\"data-turbo-stream\");\n const frameTarget = element.getAttribute(\"data-turbo-frame\");\n const frame = frameTarget == \"_top\" ?\n null :\n document.getElementById(frameTarget) || findClosestRecursively(element, \"turbo-frame:not([disabled])\");\n\n if (isUnsafe || isStream || frame instanceof FrameElement) {\n return false\n } else {\n const location = new URL(element.href);\n\n return this.elementIsNavigatable(element) && locationIsVisitable(location, this.snapshot.rootLocation)\n }\n }\n\n // History delegate\n\n historyPoppedToLocationWithRestorationIdentifierAndDirection(location, restorationIdentifier, direction) {\n if (this.enabled) {\n this.navigator.startVisit(location, restorationIdentifier, {\n action: \"restore\",\n historyChanged: true,\n direction\n });\n } else {\n this.adapter.pageInvalidated({\n reason: \"turbo_disabled\"\n });\n }\n }\n\n // Scroll observer delegate\n\n scrollPositionChanged(position) {\n this.history.updateRestorationData({ scrollPosition: position });\n }\n\n // Form click observer delegate\n\n willSubmitFormLinkToLocation(link, location) {\n return this.elementIsNavigatable(link) && locationIsVisitable(location, this.snapshot.rootLocation)\n }\n\n submittedFormLinkToLocation() {}\n\n // Link hover observer delegate\n\n canPrefetchRequestToLocation(link, location) {\n return (\n this.elementIsNavigatable(link) &&\n locationIsVisitable(location, this.snapshot.rootLocation)\n )\n }\n\n // Link click observer delegate\n\n willFollowLinkToLocation(link, location, event) {\n return (\n this.elementIsNavigatable(link) &&\n locationIsVisitable(location, this.snapshot.rootLocation) &&\n this.applicationAllowsFollowingLinkToLocation(link, location, event)\n )\n }\n\n followedLinkToLocation(link, location) {\n const action = this.getActionForLink(link);\n const acceptsStreamResponse = link.hasAttribute(\"data-turbo-stream\");\n\n this.visit(location.href, { action, acceptsStreamResponse });\n }\n\n // Navigator delegate\n\n allowsVisitingLocationWithAction(location, action) {\n return this.locationWithActionIsSamePage(location, action) || this.applicationAllowsVisitingLocation(location)\n }\n\n visitProposedToLocation(location, options) {\n extendURLWithDeprecatedProperties(location);\n this.adapter.visitProposedToLocation(location, options);\n }\n\n // Visit delegate\n\n visitStarted(visit) {\n if (!visit.acceptsStreamResponse) {\n markAsBusy(document.documentElement);\n this.view.markVisitDirection(visit.direction);\n }\n extendURLWithDeprecatedProperties(visit.location);\n if (!visit.silent) {\n this.notifyApplicationAfterVisitingLocation(visit.location, visit.action);\n }\n }\n\n visitCompleted(visit) {\n this.view.unmarkVisitDirection();\n clearBusyState(document.documentElement);\n this.notifyApplicationAfterPageLoad(visit.getTimingMetrics());\n }\n\n locationWithActionIsSamePage(location, action) {\n return this.navigator.locationWithActionIsSamePage(location, action)\n }\n\n visitScrolledToSamePageLocation(oldURL, newURL) {\n this.notifyApplicationAfterVisitingSamePageLocation(oldURL, newURL);\n }\n\n // Form submit observer delegate\n\n willSubmitForm(form, submitter) {\n const action = getAction$1(form, submitter);\n\n return (\n this.submissionIsNavigatable(form, submitter) &&\n locationIsVisitable(expandURL(action), this.snapshot.rootLocation)\n )\n }\n\n formSubmitted(form, submitter) {\n this.navigator.submitForm(form, submitter);\n }\n\n // Page observer delegate\n\n pageBecameInteractive() {\n this.view.lastRenderedLocation = this.location;\n this.notifyApplicationAfterPageLoad();\n }\n\n pageLoaded() {\n this.history.assumeControlOfScrollRestoration();\n }\n\n pageWillUnload() {\n this.history.relinquishControlOfScrollRestoration();\n }\n\n // Stream observer delegate\n\n receivedMessageFromStream(message) {\n this.renderStreamMessage(message);\n }\n\n // Page view delegate\n\n viewWillCacheSnapshot() {\n if (!this.navigator.currentVisit?.silent) {\n this.notifyApplicationBeforeCachingSnapshot();\n }\n }\n\n allowsImmediateRender({ element }, options) {\n const event = this.notifyApplicationBeforeRender(element, options);\n const {\n defaultPrevented,\n detail: { render }\n } = event;\n\n if (this.view.renderer && render) {\n this.view.renderer.renderElement = render;\n }\n\n return !defaultPrevented\n }\n\n viewRenderedSnapshot(_snapshot, _isPreview, renderMethod) {\n this.view.lastRenderedLocation = this.history.location;\n this.notifyApplicationAfterRender(renderMethod);\n }\n\n preloadOnLoadLinksForView(element) {\n this.preloader.preloadOnLoadLinksForView(element);\n }\n\n viewInvalidated(reason) {\n this.adapter.pageInvalidated(reason);\n }\n\n // Frame element\n\n frameLoaded(frame) {\n this.notifyApplicationAfterFrameLoad(frame);\n }\n\n frameRendered(fetchResponse, frame) {\n this.notifyApplicationAfterFrameRender(fetchResponse, frame);\n }\n\n // Application events\n\n applicationAllowsFollowingLinkToLocation(link, location, ev) {\n const event = this.notifyApplicationAfterClickingLinkToLocation(link, location, ev);\n return !event.defaultPrevented\n }\n\n applicationAllowsVisitingLocation(location) {\n const event = this.notifyApplicationBeforeVisitingLocation(location);\n return !event.defaultPrevented\n }\n\n notifyApplicationAfterClickingLinkToLocation(link, location, event) {\n return dispatch(\"turbo:click\", {\n target: link,\n detail: { url: location.href, originalEvent: event },\n cancelable: true\n })\n }\n\n notifyApplicationBeforeVisitingLocation(location) {\n return dispatch(\"turbo:before-visit\", {\n detail: { url: location.href },\n cancelable: true\n })\n }\n\n notifyApplicationAfterVisitingLocation(location, action) {\n return dispatch(\"turbo:visit\", { detail: { url: location.href, action } })\n }\n\n notifyApplicationBeforeCachingSnapshot() {\n return dispatch(\"turbo:before-cache\")\n }\n\n notifyApplicationBeforeRender(newBody, options) {\n return dispatch(\"turbo:before-render\", {\n detail: { newBody, ...options },\n cancelable: true\n })\n }\n\n notifyApplicationAfterRender(renderMethod) {\n return dispatch(\"turbo:render\", { detail: { renderMethod } })\n }\n\n notifyApplicationAfterPageLoad(timing = {}) {\n return dispatch(\"turbo:load\", {\n detail: { url: this.location.href, timing }\n })\n }\n\n notifyApplicationAfterVisitingSamePageLocation(oldURL, newURL) {\n dispatchEvent(\n new HashChangeEvent(\"hashchange\", {\n oldURL: oldURL.toString(),\n newURL: newURL.toString()\n })\n );\n }\n\n notifyApplicationAfterFrameLoad(frame) {\n return dispatch(\"turbo:frame-load\", { target: frame })\n }\n\n notifyApplicationAfterFrameRender(fetchResponse, frame) {\n return dispatch(\"turbo:frame-render\", {\n detail: { fetchResponse },\n target: frame,\n cancelable: true\n })\n }\n\n // Helpers\n\n submissionIsNavigatable(form, submitter) {\n if (this.formMode == \"off\") {\n return false\n } else {\n const submitterIsNavigatable = submitter ? this.elementIsNavigatable(submitter) : true;\n\n if (this.formMode == \"optin\") {\n return submitterIsNavigatable && form.closest('[data-turbo=\"true\"]') != null\n } else {\n return submitterIsNavigatable && this.elementIsNavigatable(form)\n }\n }\n }\n\n elementIsNavigatable(element) {\n const container = findClosestRecursively(element, \"[data-turbo]\");\n const withinFrame = findClosestRecursively(element, \"turbo-frame\");\n\n // Check if Drive is enabled on the session or we're within a Frame.\n if (this.drive || withinFrame) {\n // Element is navigatable by default, unless `data-turbo=\"false\"`.\n if (container) {\n return container.getAttribute(\"data-turbo\") != \"false\"\n } else {\n return true\n }\n } else {\n // Element isn't navigatable by default, unless `data-turbo=\"true\"`.\n if (container) {\n return container.getAttribute(\"data-turbo\") == \"true\"\n } else {\n return false\n }\n }\n }\n\n // Private\n\n getActionForLink(link) {\n return getVisitAction(link) || \"advance\"\n }\n\n get snapshot() {\n return this.view.snapshot\n }\n}\n\n// Older versions of the Turbo Native adapters referenced the\n// `Location#absoluteURL` property in their implementations of\n// the `Adapter#visitProposedToLocation()` and `#visitStarted()`\n// methods. The Location class has since been removed in favor\n// of the DOM URL API, and accordingly all Adapter methods now\n// receive URL objects.\n//\n// We alias #absoluteURL to #toString() here to avoid crashing\n// older adapters which do not expect URL objects. We should\n// consider removing this support at some point in the future.\n\nfunction extendURLWithDeprecatedProperties(url) {\n Object.defineProperties(url, deprecatedLocationPropertyDescriptors);\n}\n\nconst deprecatedLocationPropertyDescriptors = {\n absoluteURL: {\n get() {\n return this.toString()\n }\n }\n};\n\nconst session = new Session(recentRequests);\nconst { cache, navigator: navigator$1 } = session;\n\n/**\n * Starts the main session.\n * This initialises any necessary observers such as those to monitor\n * link interactions.\n */\nfunction start() {\n session.start();\n}\n\n/**\n * Registers an adapter for the main session.\n *\n * @param adapter Adapter to register\n */\nfunction registerAdapter(adapter) {\n session.registerAdapter(adapter);\n}\n\n/**\n * Performs an application visit to the given location.\n *\n * @param location Location to visit (a URL or path)\n * @param options Options to apply\n * @param options.action Type of history navigation to apply (\"restore\",\n * \"replace\" or \"advance\")\n * @param options.historyChanged Specifies whether the browser history has\n * already been changed for this visit or not\n * @param options.referrer Specifies the referrer of this visit such that\n * navigations to the same page will not result in a new history entry.\n * @param options.snapshotHTML Cached snapshot to render\n * @param options.response Response of the specified location\n */\nfunction visit(location, options) {\n session.visit(location, options);\n}\n\n/**\n * Connects a stream source to the main session.\n *\n * @param source Stream source to connect\n */\nfunction connectStreamSource(source) {\n session.connectStreamSource(source);\n}\n\n/**\n * Disconnects a stream source from the main session.\n *\n * @param source Stream source to disconnect\n */\nfunction disconnectStreamSource(source) {\n session.disconnectStreamSource(source);\n}\n\n/**\n * Renders a stream message to the main session by appending it to the\n * current document.\n *\n * @param message Message to render\n */\nfunction renderStreamMessage(message) {\n session.renderStreamMessage(message);\n}\n\n/**\n * Removes all entries from the Turbo Drive page cache.\n * Call this when state has changed on the server that may affect cached pages.\n *\n * @deprecated since version 7.2.0 in favor of `Turbo.cache.clear()`\n */\nfunction clearCache() {\n console.warn(\n \"Please replace `Turbo.clearCache()` with `Turbo.cache.clear()`. The top-level function is deprecated and will be removed in a future version of Turbo.`\"\n );\n session.clearCache();\n}\n\n/**\n * Sets the delay after which the progress bar will appear during navigation.\n *\n * The progress bar appears after 500ms by default.\n *\n * Note that this method has no effect when used with the iOS or Android\n * adapters.\n *\n * @param delay Time to delay in milliseconds\n */\nfunction setProgressBarDelay(delay) {\n session.setProgressBarDelay(delay);\n}\n\nfunction setConfirmMethod(confirmMethod) {\n FormSubmission.confirmMethod = confirmMethod;\n}\n\nfunction setFormMode(mode) {\n session.setFormMode(mode);\n}\n\nvar Turbo = /*#__PURE__*/Object.freeze({\n __proto__: null,\n navigator: navigator$1,\n session: session,\n cache: cache,\n PageRenderer: PageRenderer,\n PageSnapshot: PageSnapshot,\n FrameRenderer: FrameRenderer,\n fetch: fetchWithTurboHeaders,\n start: start,\n registerAdapter: registerAdapter,\n visit: visit,\n connectStreamSource: connectStreamSource,\n disconnectStreamSource: disconnectStreamSource,\n renderStreamMessage: renderStreamMessage,\n clearCache: clearCache,\n setProgressBarDelay: setProgressBarDelay,\n setConfirmMethod: setConfirmMethod,\n setFormMode: setFormMode\n});\n\nclass TurboFrameMissingError extends Error {}\n\nclass FrameController {\n fetchResponseLoaded = (_fetchResponse) => Promise.resolve()\n #currentFetchRequest = null\n #resolveVisitPromise = () => {}\n #connected = false\n #hasBeenLoaded = false\n #ignoredAttributes = new Set()\n action = null\n\n constructor(element) {\n this.element = element;\n this.view = new FrameView(this, this.element);\n this.appearanceObserver = new AppearanceObserver(this, this.element);\n this.formLinkClickObserver = new FormLinkClickObserver(this, this.element);\n this.linkInterceptor = new LinkInterceptor(this, this.element);\n this.restorationIdentifier = uuid();\n this.formSubmitObserver = new FormSubmitObserver(this, this.element);\n }\n\n // Frame delegate\n\n connect() {\n if (!this.#connected) {\n this.#connected = true;\n if (this.loadingStyle == FrameLoadingStyle.lazy) {\n this.appearanceObserver.start();\n } else {\n this.#loadSourceURL();\n }\n this.formLinkClickObserver.start();\n this.linkInterceptor.start();\n this.formSubmitObserver.start();\n }\n }\n\n disconnect() {\n if (this.#connected) {\n this.#connected = false;\n this.appearanceObserver.stop();\n this.formLinkClickObserver.stop();\n this.linkInterceptor.stop();\n this.formSubmitObserver.stop();\n }\n }\n\n disabledChanged() {\n if (this.loadingStyle == FrameLoadingStyle.eager) {\n this.#loadSourceURL();\n }\n }\n\n sourceURLChanged() {\n if (this.#isIgnoringChangesTo(\"src\")) return\n\n if (this.element.isConnected) {\n this.complete = false;\n }\n\n if (this.loadingStyle == FrameLoadingStyle.eager || this.#hasBeenLoaded) {\n this.#loadSourceURL();\n }\n }\n\n sourceURLReloaded() {\n const { src } = this.element;\n this.element.removeAttribute(\"complete\");\n this.element.src = null;\n this.element.src = src;\n return this.element.loaded\n }\n\n loadingStyleChanged() {\n if (this.loadingStyle == FrameLoadingStyle.lazy) {\n this.appearanceObserver.start();\n } else {\n this.appearanceObserver.stop();\n this.#loadSourceURL();\n }\n }\n\n async #loadSourceURL() {\n if (this.enabled && this.isActive && !this.complete && this.sourceURL) {\n this.element.loaded = this.#visit(expandURL(this.sourceURL));\n this.appearanceObserver.stop();\n await this.element.loaded;\n this.#hasBeenLoaded = true;\n }\n }\n\n async loadResponse(fetchResponse) {\n if (fetchResponse.redirected || (fetchResponse.succeeded && fetchResponse.isHTML)) {\n this.sourceURL = fetchResponse.response.url;\n }\n\n try {\n const html = await fetchResponse.responseHTML;\n if (html) {\n const document = parseHTMLDocument(html);\n const pageSnapshot = PageSnapshot.fromDocument(document);\n\n if (pageSnapshot.isVisitable) {\n await this.#loadFrameResponse(fetchResponse, document);\n } else {\n await this.#handleUnvisitableFrameResponse(fetchResponse);\n }\n }\n } finally {\n this.fetchResponseLoaded = () => Promise.resolve();\n }\n }\n\n // Appearance observer delegate\n\n elementAppearedInViewport(element) {\n this.proposeVisitIfNavigatedWithAction(element, getVisitAction(element));\n this.#loadSourceURL();\n }\n\n // Form link click observer delegate\n\n willSubmitFormLinkToLocation(link) {\n return this.#shouldInterceptNavigation(link)\n }\n\n submittedFormLinkToLocation(link, _location, form) {\n const frame = this.#findFrameElement(link);\n if (frame) form.setAttribute(\"data-turbo-frame\", frame.id);\n }\n\n // Link interceptor delegate\n\n shouldInterceptLinkClick(element, _location, _event) {\n return this.#shouldInterceptNavigation(element)\n }\n\n linkClickIntercepted(element, location) {\n this.#navigateFrame(element, location);\n }\n\n // Form submit observer delegate\n\n willSubmitForm(element, submitter) {\n return element.closest(\"turbo-frame\") == this.element && this.#shouldInterceptNavigation(element, submitter)\n }\n\n formSubmitted(element, submitter) {\n if (this.formSubmission) {\n this.formSubmission.stop();\n }\n\n this.formSubmission = new FormSubmission(this, element, submitter);\n const { fetchRequest } = this.formSubmission;\n this.prepareRequest(fetchRequest);\n this.formSubmission.start();\n }\n\n // Fetch request delegate\n\n prepareRequest(request) {\n request.headers[\"Turbo-Frame\"] = this.id;\n\n if (this.currentNavigationElement?.hasAttribute(\"data-turbo-stream\")) {\n request.acceptResponseType(StreamMessage.contentType);\n }\n }\n\n requestStarted(_request) {\n markAsBusy(this.element);\n }\n\n requestPreventedHandlingResponse(_request, _response) {\n this.#resolveVisitPromise();\n }\n\n async requestSucceededWithResponse(request, response) {\n await this.loadResponse(response);\n this.#resolveVisitPromise();\n }\n\n async requestFailedWithResponse(request, response) {\n await this.loadResponse(response);\n this.#resolveVisitPromise();\n }\n\n requestErrored(request, error) {\n console.error(error);\n this.#resolveVisitPromise();\n }\n\n requestFinished(_request) {\n clearBusyState(this.element);\n }\n\n // Form submission delegate\n\n formSubmissionStarted({ formElement }) {\n markAsBusy(formElement, this.#findFrameElement(formElement));\n }\n\n formSubmissionSucceededWithResponse(formSubmission, response) {\n const frame = this.#findFrameElement(formSubmission.formElement, formSubmission.submitter);\n\n frame.delegate.proposeVisitIfNavigatedWithAction(frame, getVisitAction(formSubmission.submitter, formSubmission.formElement, frame));\n frame.delegate.loadResponse(response);\n\n if (!formSubmission.isSafe) {\n session.clearCache();\n }\n }\n\n formSubmissionFailedWithResponse(formSubmission, fetchResponse) {\n this.element.delegate.loadResponse(fetchResponse);\n session.clearCache();\n }\n\n formSubmissionErrored(formSubmission, error) {\n console.error(error);\n }\n\n formSubmissionFinished({ formElement }) {\n clearBusyState(formElement, this.#findFrameElement(formElement));\n }\n\n // View delegate\n\n allowsImmediateRender({ element: newFrame }, options) {\n const event = dispatch(\"turbo:before-frame-render\", {\n target: this.element,\n detail: { newFrame, ...options },\n cancelable: true\n });\n const {\n defaultPrevented,\n detail: { render }\n } = event;\n\n if (this.view.renderer && render) {\n this.view.renderer.renderElement = render;\n }\n\n return !defaultPrevented\n }\n\n viewRenderedSnapshot(_snapshot, _isPreview, _renderMethod) {}\n\n preloadOnLoadLinksForView(element) {\n session.preloadOnLoadLinksForView(element);\n }\n\n viewInvalidated() {}\n\n // Frame renderer delegate\n\n willRenderFrame(currentElement, _newElement) {\n this.previousFrameElement = currentElement.cloneNode(true);\n }\n\n visitCachedSnapshot = ({ element }) => {\n const frame = element.querySelector(\"#\" + this.element.id);\n\n if (frame && this.previousFrameElement) {\n frame.replaceChildren(...this.previousFrameElement.children);\n }\n\n delete this.previousFrameElement;\n }\n\n // Private\n\n async #loadFrameResponse(fetchResponse, document) {\n const newFrameElement = await this.extractForeignFrameElement(document.body);\n\n if (newFrameElement) {\n const snapshot = new Snapshot(newFrameElement);\n const renderer = new FrameRenderer(this, this.view.snapshot, snapshot, FrameRenderer.renderElement, false, false);\n if (this.view.renderPromise) await this.view.renderPromise;\n this.changeHistory();\n\n await this.view.render(renderer);\n this.complete = true;\n session.frameRendered(fetchResponse, this.element);\n session.frameLoaded(this.element);\n await this.fetchResponseLoaded(fetchResponse);\n } else if (this.#willHandleFrameMissingFromResponse(fetchResponse)) {\n this.#handleFrameMissingFromResponse(fetchResponse);\n }\n }\n\n async #visit(url) {\n const request = new FetchRequest(this, FetchMethod.get, url, new URLSearchParams(), this.element);\n\n this.#currentFetchRequest?.cancel();\n this.#currentFetchRequest = request;\n\n return new Promise((resolve) => {\n this.#resolveVisitPromise = () => {\n this.#resolveVisitPromise = () => {};\n this.#currentFetchRequest = null;\n resolve();\n };\n request.perform();\n })\n }\n\n #navigateFrame(element, url, submitter) {\n const frame = this.#findFrameElement(element, submitter);\n\n frame.delegate.proposeVisitIfNavigatedWithAction(frame, getVisitAction(submitter, element, frame));\n\n this.#withCurrentNavigationElement(element, () => {\n frame.src = url;\n });\n }\n\n proposeVisitIfNavigatedWithAction(frame, action = null) {\n this.action = action;\n\n if (this.action) {\n const pageSnapshot = PageSnapshot.fromElement(frame).clone();\n const { visitCachedSnapshot } = frame.delegate;\n\n frame.delegate.fetchResponseLoaded = async (fetchResponse) => {\n if (frame.src) {\n const { statusCode, redirected } = fetchResponse;\n const responseHTML = await fetchResponse.responseHTML;\n const response = { statusCode, redirected, responseHTML };\n const options = {\n response,\n visitCachedSnapshot,\n willRender: false,\n updateHistory: false,\n restorationIdentifier: this.restorationIdentifier,\n snapshot: pageSnapshot\n };\n\n if (this.action) options.action = this.action;\n\n session.visit(frame.src, options);\n }\n };\n }\n }\n\n changeHistory() {\n if (this.action) {\n const method = getHistoryMethodForAction(this.action);\n session.history.update(method, expandURL(this.element.src || \"\"), this.restorationIdentifier);\n }\n }\n\n async #handleUnvisitableFrameResponse(fetchResponse) {\n console.warn(\n `The response (${fetchResponse.statusCode}) from <turbo-frame id=\"${this.element.id}\"> is performing a full page visit due to turbo-visit-control.`\n );\n\n await this.#visitResponse(fetchResponse.response);\n }\n\n #willHandleFrameMissingFromResponse(fetchResponse) {\n this.element.setAttribute(\"complete\", \"\");\n\n const response = fetchResponse.response;\n const visit = async (url, options) => {\n if (url instanceof Response) {\n this.#visitResponse(url);\n } else {\n session.visit(url, options);\n }\n };\n\n const event = dispatch(\"turbo:frame-missing\", {\n target: this.element,\n detail: { response, visit },\n cancelable: true\n });\n\n return !event.defaultPrevented\n }\n\n #handleFrameMissingFromResponse(fetchResponse) {\n this.view.missing();\n this.#throwFrameMissingError(fetchResponse);\n }\n\n #throwFrameMissingError(fetchResponse) {\n const message = `The response (${fetchResponse.statusCode}) did not contain the expected <turbo-frame id=\"${this.element.id}\"> and will be ignored. To perform a full page visit instead, set turbo-visit-control to reload.`;\n throw new TurboFrameMissingError(message)\n }\n\n async #visitResponse(response) {\n const wrapped = new FetchResponse(response);\n const responseHTML = await wrapped.responseHTML;\n const { location, redirected, statusCode } = wrapped;\n\n return session.visit(location, { response: { redirected, statusCode, responseHTML } })\n }\n\n #findFrameElement(element, submitter) {\n const id = getAttribute(\"data-turbo-frame\", submitter, element) || this.element.getAttribute(\"target\");\n return getFrameElementById(id) ?? this.element\n }\n\n async extractForeignFrameElement(container) {\n let element;\n const id = CSS.escape(this.id);\n\n try {\n element = activateElement(container.querySelector(`turbo-frame#${id}`), this.sourceURL);\n if (element) {\n return element\n }\n\n element = activateElement(container.querySelector(`turbo-frame[src][recurse~=${id}]`), this.sourceURL);\n if (element) {\n await element.loaded;\n return await this.extractForeignFrameElement(element)\n }\n } catch (error) {\n console.error(error);\n return new FrameElement()\n }\n\n return null\n }\n\n #formActionIsVisitable(form, submitter) {\n const action = getAction$1(form, submitter);\n\n return locationIsVisitable(expandURL(action), this.rootLocation)\n }\n\n #shouldInterceptNavigation(element, submitter) {\n const id = getAttribute(\"data-turbo-frame\", submitter, element) || this.element.getAttribute(\"target\");\n\n if (element instanceof HTMLFormElement && !this.#formActionIsVisitable(element, submitter)) {\n return false\n }\n\n if (!this.enabled || id == \"_top\") {\n return false\n }\n\n if (id) {\n const frameElement = getFrameElementById(id);\n if (frameElement) {\n return !frameElement.disabled\n }\n }\n\n if (!session.elementIsNavigatable(element)) {\n return false\n }\n\n if (submitter && !session.elementIsNavigatable(submitter)) {\n return false\n }\n\n return true\n }\n\n // Computed properties\n\n get id() {\n return this.element.id\n }\n\n get enabled() {\n return !this.element.disabled\n }\n\n get sourceURL() {\n if (this.element.src) {\n return this.element.src\n }\n }\n\n set sourceURL(sourceURL) {\n this.#ignoringChangesToAttribute(\"src\", () => {\n this.element.src = sourceURL ?? null;\n });\n }\n\n get loadingStyle() {\n return this.element.loading\n }\n\n get isLoading() {\n return this.formSubmission !== undefined || this.#resolveVisitPromise() !== undefined\n }\n\n get complete() {\n return this.element.hasAttribute(\"complete\")\n }\n\n set complete(value) {\n if (value) {\n this.element.setAttribute(\"complete\", \"\");\n } else {\n this.element.removeAttribute(\"complete\");\n }\n }\n\n get isActive() {\n return this.element.isActive && this.#connected\n }\n\n get rootLocation() {\n const meta = this.element.ownerDocument.querySelector(`meta[name=\"turbo-root\"]`);\n const root = meta?.content ?? \"/\";\n return expandURL(root)\n }\n\n #isIgnoringChangesTo(attributeName) {\n return this.#ignoredAttributes.has(attributeName)\n }\n\n #ignoringChangesToAttribute(attributeName, callback) {\n this.#ignoredAttributes.add(attributeName);\n callback();\n this.#ignoredAttributes.delete(attributeName);\n }\n\n #withCurrentNavigationElement(element, callback) {\n this.currentNavigationElement = element;\n callback();\n delete this.currentNavigationElement;\n }\n}\n\nfunction getFrameElementById(id) {\n if (id != null) {\n const element = document.getElementById(id);\n if (element instanceof FrameElement) {\n return element\n }\n }\n}\n\nfunction activateElement(element, currentURL) {\n if (element) {\n const src = element.getAttribute(\"src\");\n if (src != null && currentURL != null && urlsAreEqual(src, currentURL)) {\n throw new Error(`Matching <turbo-frame id=\"${element.id}\"> element has a source URL which references itself`)\n }\n if (element.ownerDocument !== document) {\n element = document.importNode(element, true);\n }\n\n if (element instanceof FrameElement) {\n element.connectedCallback();\n element.disconnectedCallback();\n return element\n }\n }\n}\n\nconst StreamActions = {\n after() {\n this.targetElements.forEach((e) => e.parentElement?.insertBefore(this.templateContent, e.nextSibling));\n },\n\n append() {\n this.removeDuplicateTargetChildren();\n this.targetElements.forEach((e) => e.append(this.templateContent));\n },\n\n before() {\n this.targetElements.forEach((e) => e.parentElement?.insertBefore(this.templateContent, e));\n },\n\n prepend() {\n this.removeDuplicateTargetChildren();\n this.targetElements.forEach((e) => e.prepend(this.templateContent));\n },\n\n remove() {\n this.targetElements.forEach((e) => e.remove());\n },\n\n replace() {\n const method = this.getAttribute(\"method\");\n\n this.targetElements.forEach((targetElement) => {\n if (method === \"morph\") {\n morphElements(targetElement, this.templateContent);\n } else {\n targetElement.replaceWith(this.templateContent);\n }\n });\n },\n\n update() {\n const method = this.getAttribute(\"method\");\n\n this.targetElements.forEach((targetElement) => {\n if (method === \"morph\") {\n morphChildren(targetElement, this.templateContent);\n } else {\n targetElement.innerHTML = \"\";\n targetElement.append(this.templateContent);\n }\n });\n },\n\n refresh() {\n session.refresh(this.baseURI, this.requestId);\n }\n};\n\n// <turbo-stream action=replace target=id><template>...\n\n/**\n * Renders updates to the page from a stream of messages.\n *\n * Using the `action` attribute, this can be configured one of eight ways:\n *\n * - `after` - inserts the result after the target\n * - `append` - appends the result to the target\n * - `before` - inserts the result before the target\n * - `prepend` - prepends the result to the target\n * - `refresh` - initiates a page refresh\n * - `remove` - removes the target\n * - `replace` - replaces the outer HTML of the target\n * - `update` - replaces the inner HTML of the target\n *\n * @customElement turbo-stream\n * @example\n * <turbo-stream action=\"append\" target=\"dom_id\">\n * <template>\n * Content to append to target designated with the dom_id.\n * </template>\n * </turbo-stream>\n */\nclass StreamElement extends HTMLElement {\n static async renderElement(newElement) {\n await newElement.performAction();\n }\n\n async connectedCallback() {\n try {\n await this.render();\n } catch (error) {\n console.error(error);\n } finally {\n this.disconnect();\n }\n }\n\n async render() {\n return (this.renderPromise ??= (async () => {\n const event = this.beforeRenderEvent;\n\n if (this.dispatchEvent(event)) {\n await nextRepaint();\n await event.detail.render(this);\n }\n })())\n }\n\n disconnect() {\n try {\n this.remove();\n // eslint-disable-next-line no-empty\n } catch {}\n }\n\n /**\n * Removes duplicate children (by ID)\n */\n removeDuplicateTargetChildren() {\n this.duplicateChildren.forEach((c) => c.remove());\n }\n\n /**\n * Gets the list of duplicate children (i.e. those with the same ID)\n */\n get duplicateChildren() {\n const existingChildren = this.targetElements.flatMap((e) => [...e.children]).filter((c) => !!c.id);\n const newChildrenIds = [...(this.templateContent?.children || [])].filter((c) => !!c.id).map((c) => c.id);\n\n return existingChildren.filter((c) => newChildrenIds.includes(c.id))\n }\n\n /**\n * Gets the action function to be performed.\n */\n get performAction() {\n if (this.action) {\n const actionFunction = StreamActions[this.action];\n if (actionFunction) {\n return actionFunction\n }\n this.#raise(\"unknown action\");\n }\n this.#raise(\"action attribute is missing\");\n }\n\n /**\n * Gets the target elements which the template will be rendered to.\n */\n get targetElements() {\n if (this.target) {\n return this.targetElementsById\n } else if (this.targets) {\n return this.targetElementsByQuery\n } else {\n this.#raise(\"target or targets attribute is missing\");\n }\n }\n\n /**\n * Gets the contents of the main `<template>`.\n */\n get templateContent() {\n return this.templateElement.content.cloneNode(true)\n }\n\n /**\n * Gets the main `<template>` used for rendering\n */\n get templateElement() {\n if (this.firstElementChild === null) {\n const template = this.ownerDocument.createElement(\"template\");\n this.appendChild(template);\n return template\n } else if (this.firstElementChild instanceof HTMLTemplateElement) {\n return this.firstElementChild\n }\n this.#raise(\"first child element must be a <template> element\");\n }\n\n /**\n * Gets the current action.\n */\n get action() {\n return this.getAttribute(\"action\")\n }\n\n /**\n * Gets the current target (an element ID) to which the result will\n * be rendered.\n */\n get target() {\n return this.getAttribute(\"target\")\n }\n\n /**\n * Gets the current \"targets\" selector (a CSS selector)\n */\n get targets() {\n return this.getAttribute(\"targets\")\n }\n\n /**\n * Reads the request-id attribute\n */\n get requestId() {\n return this.getAttribute(\"request-id\")\n }\n\n #raise(message) {\n throw new Error(`${this.description}: ${message}`)\n }\n\n get description() {\n return (this.outerHTML.match(/<[^>]+>/) ?? [])[0] ?? \"<turbo-stream>\"\n }\n\n get beforeRenderEvent() {\n return new CustomEvent(\"turbo:before-stream-render\", {\n bubbles: true,\n cancelable: true,\n detail: { newStream: this, render: StreamElement.renderElement }\n })\n }\n\n get targetElementsById() {\n const element = this.ownerDocument?.getElementById(this.target);\n\n if (element !== null) {\n return [element]\n } else {\n return []\n }\n }\n\n get targetElementsByQuery() {\n const elements = this.ownerDocument?.querySelectorAll(this.targets);\n\n if (elements.length !== 0) {\n return Array.prototype.slice.call(elements)\n } else {\n return []\n }\n }\n}\n\nclass StreamSourceElement extends HTMLElement {\n streamSource = null\n\n connectedCallback() {\n this.streamSource = this.src.match(/^ws{1,2}:/) ? new WebSocket(this.src) : new EventSource(this.src);\n\n connectStreamSource(this.streamSource);\n }\n\n disconnectedCallback() {\n if (this.streamSource) {\n this.streamSource.close();\n\n disconnectStreamSource(this.streamSource);\n }\n }\n\n get src() {\n return this.getAttribute(\"src\") || \"\"\n }\n}\n\nFrameElement.delegateConstructor = FrameController;\n\nif (customElements.get(\"turbo-frame\") === undefined) {\n customElements.define(\"turbo-frame\", FrameElement);\n}\n\nif (customElements.get(\"turbo-stream\") === undefined) {\n customElements.define(\"turbo-stream\", StreamElement);\n}\n\nif (customElements.get(\"turbo-stream-source\") === undefined) {\n customElements.define(\"turbo-stream-source\", StreamSourceElement);\n}\n\n(() => {\n let element = document.currentScript;\n if (!element) return\n if (element.hasAttribute(\"data-turbo-suppress-warning\")) return\n\n element = element.parentElement;\n while (element) {\n if (element == document.body) {\n return console.warn(\n unindent`\n You are loading Turbo from a <script> element inside the <body> element. This is probably not what you meant to do!\n\n Load your application\u2019s JavaScript bundle inside the <head> element instead. <script> elements in <body> are evaluated with each page change.\n\n For more information, see: https://turbo.hotwired.dev/handbook/building#working-with-script-elements\n\n \u2014\u2014\n Suppress this warning by adding a \"data-turbo-suppress-warning\" attribute to: %s\n `,\n element.outerHTML\n )\n }\n\n element = element.parentElement;\n }\n})();\n\nwindow.Turbo = { ...Turbo, StreamActions };\nstart();\n\nexport { FetchEnctype, FetchMethod, FetchRequest, FetchResponse, FrameElement, FrameLoadingStyle, FrameRenderer, PageRenderer, PageSnapshot, StreamActions, StreamElement, StreamSourceElement, cache, clearCache, connectStreamSource, disconnectStreamSource, fetchWithTurboHeaders as fetch, fetchEnctypeFromString, fetchMethodFromString, isSafe, navigator$1 as navigator, registerAdapter, renderStreamMessage, session, setConfirmMethod, setFormMode, setProgressBarDelay, start, visit };\n", "let consumer\n\nexport async function getConsumer() {\n return consumer || setConsumer(createConsumer().then(setConsumer))\n}\n\nexport function setConsumer(newConsumer) {\n return consumer = newConsumer\n}\n\nexport async function createConsumer() {\n const { createConsumer } = await import(/* webpackChunkName: \"actioncable\" */ \"@rails/actioncable/src\")\n return createConsumer()\n}\n\nexport async function subscribeTo(channel, mixin) {\n const { subscriptions } = await getConsumer()\n return subscriptions.create(channel, mixin)\n}\n", "// Based on https://github.com/nathan7/snakeize\n//\n// This software is released under the MIT license:\n// Permission is hereby granted, free of charge, to any person obtaining a copy of\n// this software and associated documentation files (the \"Software\"), to deal in\n// the Software without restriction, including without limitation the rights to\n// use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of\n// the Software, and to permit persons to whom the Software is furnished to do so,\n// subject to the following conditions:\n\n// The above copyright notice and this permission notice shall be included in all\n// 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, FITNESS\n// FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR\n// COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER\n// IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN\n// CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\nexport default function walk (obj) {\n if (!obj || typeof obj !== 'object') return obj;\n if (obj instanceof Date || obj instanceof RegExp) return obj;\n if (Array.isArray(obj)) return obj.map(walk);\n return Object.keys(obj).reduce(function (acc, key) {\n var camel = key[0].toLowerCase() + key.slice(1).replace(/([A-Z]+)/g, function (m, x) {\n return '_' + x.toLowerCase();\n });\n acc[camel] = walk(obj[key]);\n return acc;\n }, {});\n};", "import { connectStreamSource, disconnectStreamSource } from \"@hotwired/turbo\"\nimport { subscribeTo } from \"./cable\"\nimport snakeize from \"./snakeize\"\n\nclass TurboCableStreamSourceElement extends HTMLElement {\n async connectedCallback() {\n connectStreamSource(this)\n this.subscription = await subscribeTo(this.channel, {\n received: this.dispatchMessageEvent.bind(this),\n connected: this.subscriptionConnected.bind(this),\n disconnected: this.subscriptionDisconnected.bind(this)\n })\n }\n\n disconnectedCallback() {\n disconnectStreamSource(this)\n if (this.subscription) this.subscription.unsubscribe()\n }\n\n dispatchMessageEvent(data) {\n const event = new MessageEvent(\"message\", { data })\n return this.dispatchEvent(event)\n }\n\n subscriptionConnected() {\n this.setAttribute(\"connected\", \"\")\n }\n\n subscriptionDisconnected() {\n this.removeAttribute(\"connected\")\n }\n\n get channel() {\n const channel = this.getAttribute(\"channel\")\n const signed_stream_name = this.getAttribute(\"signed-stream-name\")\n return { channel, signed_stream_name, ...snakeize({ ...this.dataset }) }\n }\n}\n\n\nif (customElements.get(\"turbo-cable-stream-source\") === undefined) {\n customElements.define(\"turbo-cable-stream-source\", TurboCableStreamSourceElement)\n}\n", "export function encodeMethodIntoRequestBody(event) {\n if (event.target instanceof HTMLFormElement) {\n const { target: form, detail: { fetchOptions } } = event\n\n form.addEventListener(\"turbo:submit-start\", ({ detail: { formSubmission: { submitter } } }) => {\n const body = isBodyInit(fetchOptions.body) ? fetchOptions.body : new URLSearchParams()\n const method = determineFetchMethod(submitter, body, form)\n\n if (!/get/i.test(method)) {\n if (/post/i.test(method)) {\n body.delete(\"_method\")\n } else {\n body.set(\"_method\", method)\n }\n\n fetchOptions.method = \"post\"\n }\n }, { once: true })\n }\n}\n\nfunction determineFetchMethod(submitter, body, form) {\n const formMethod = determineFormMethod(submitter)\n const overrideMethod = body.get(\"_method\")\n const method = form.getAttribute(\"method\") || \"get\"\n\n if (typeof formMethod == \"string\") {\n return formMethod\n } else if (typeof overrideMethod == \"string\") {\n return overrideMethod\n } else {\n return method\n }\n}\n\nfunction determineFormMethod(submitter) {\n if (submitter instanceof HTMLButtonElement || submitter instanceof HTMLInputElement) {\n // Rails 7 ActionView::Helpers::FormBuilder#button method has an override\n // for formmethod if the button does not have name or value attributes\n // set, which is the default. This means that if you use <%= f.button\n // formmethod: :delete %>, it will generate a <button name=\"_method\"\n // value=\"delete\" formmethod=\"post\">. Therefore, if the submitter's name\n // is already _method, it's value attribute already contains the desired\n // method.\n if (submitter.name === '_method') {\n return submitter.value\n } else if (submitter.hasAttribute(\"formmethod\")) {\n return submitter.formMethod\n } else {\n return null\n }\n } else {\n return null\n }\n}\n\nfunction isBodyInit(body) {\n return body instanceof FormData || body instanceof URLSearchParams\n}\n", "import \"./cable_stream_source_element\"\n\nimport * as Turbo from \"@hotwired/turbo\"\nexport { Turbo }\n\nimport * as cable from \"./cable\"\nexport { cable }\n\nimport { encodeMethodIntoRequestBody } from \"./fetch_requests\"\n\nwindow.Turbo = Turbo\n\naddEventListener(\"turbo:before-fetch-request\", encodeMethodIntoRequestBody)\n", "/*\nStimulus 3.2.1\nCopyright \u00A9 2023 Basecamp, LLC\n */\nclass EventListener {\n constructor(eventTarget, eventName, eventOptions) {\n this.eventTarget = eventTarget;\n this.eventName = eventName;\n this.eventOptions = eventOptions;\n this.unorderedBindings = new Set();\n }\n connect() {\n this.eventTarget.addEventListener(this.eventName, this, this.eventOptions);\n }\n disconnect() {\n this.eventTarget.removeEventListener(this.eventName, this, this.eventOptions);\n }\n bindingConnected(binding) {\n this.unorderedBindings.add(binding);\n }\n bindingDisconnected(binding) {\n this.unorderedBindings.delete(binding);\n }\n handleEvent(event) {\n const extendedEvent = extendEvent(event);\n for (const binding of this.bindings) {\n if (extendedEvent.immediatePropagationStopped) {\n break;\n }\n else {\n binding.handleEvent(extendedEvent);\n }\n }\n }\n hasBindings() {\n return this.unorderedBindings.size > 0;\n }\n get bindings() {\n return Array.from(this.unorderedBindings).sort((left, right) => {\n const leftIndex = left.index, rightIndex = right.index;\n return leftIndex < rightIndex ? -1 : leftIndex > rightIndex ? 1 : 0;\n });\n }\n}\nfunction extendEvent(event) {\n if (\"immediatePropagationStopped\" in event) {\n return event;\n }\n else {\n const { stopImmediatePropagation } = event;\n return Object.assign(event, {\n immediatePropagationStopped: false,\n stopImmediatePropagation() {\n this.immediatePropagationStopped = true;\n stopImmediatePropagation.call(this);\n },\n });\n }\n}\n\nclass Dispatcher {\n constructor(application) {\n this.application = application;\n this.eventListenerMaps = new Map();\n this.started = false;\n }\n start() {\n if (!this.started) {\n this.started = true;\n this.eventListeners.forEach((eventListener) => eventListener.connect());\n }\n }\n stop() {\n if (this.started) {\n this.started = false;\n this.eventListeners.forEach((eventListener) => eventListener.disconnect());\n }\n }\n get eventListeners() {\n return Array.from(this.eventListenerMaps.values()).reduce((listeners, map) => listeners.concat(Array.from(map.values())), []);\n }\n bindingConnected(binding) {\n this.fetchEventListenerForBinding(binding).bindingConnected(binding);\n }\n bindingDisconnected(binding, clearEventListeners = false) {\n this.fetchEventListenerForBinding(binding).bindingDisconnected(binding);\n if (clearEventListeners)\n this.clearEventListenersForBinding(binding);\n }\n handleError(error, message, detail = {}) {\n this.application.handleError(error, `Error ${message}`, detail);\n }\n clearEventListenersForBinding(binding) {\n const eventListener = this.fetchEventListenerForBinding(binding);\n if (!eventListener.hasBindings()) {\n eventListener.disconnect();\n this.removeMappedEventListenerFor(binding);\n }\n }\n removeMappedEventListenerFor(binding) {\n const { eventTarget, eventName, eventOptions } = binding;\n const eventListenerMap = this.fetchEventListenerMapForEventTarget(eventTarget);\n const cacheKey = this.cacheKey(eventName, eventOptions);\n eventListenerMap.delete(cacheKey);\n if (eventListenerMap.size == 0)\n this.eventListenerMaps.delete(eventTarget);\n }\n fetchEventListenerForBinding(binding) {\n const { eventTarget, eventName, eventOptions } = binding;\n return this.fetchEventListener(eventTarget, eventName, eventOptions);\n }\n fetchEventListener(eventTarget, eventName, eventOptions) {\n const eventListenerMap = this.fetchEventListenerMapForEventTarget(eventTarget);\n const cacheKey = this.cacheKey(eventName, eventOptions);\n let eventListener = eventListenerMap.get(cacheKey);\n if (!eventListener) {\n eventListener = this.createEventListener(eventTarget, eventName, eventOptions);\n eventListenerMap.set(cacheKey, eventListener);\n }\n return eventListener;\n }\n createEventListener(eventTarget, eventName, eventOptions) {\n const eventListener = new EventListener(eventTarget, eventName, eventOptions);\n if (this.started) {\n eventListener.connect();\n }\n return eventListener;\n }\n fetchEventListenerMapForEventTarget(eventTarget) {\n let eventListenerMap = this.eventListenerMaps.get(eventTarget);\n if (!eventListenerMap) {\n eventListenerMap = new Map();\n this.eventListenerMaps.set(eventTarget, eventListenerMap);\n }\n return eventListenerMap;\n }\n cacheKey(eventName, eventOptions) {\n const parts = [eventName];\n Object.keys(eventOptions)\n .sort()\n .forEach((key) => {\n parts.push(`${eventOptions[key] ? \"\" : \"!\"}${key}`);\n });\n return parts.join(\":\");\n }\n}\n\nconst defaultActionDescriptorFilters = {\n stop({ event, value }) {\n if (value)\n event.stopPropagation();\n return true;\n },\n prevent({ event, value }) {\n if (value)\n event.preventDefault();\n return true;\n },\n self({ event, value, element }) {\n if (value) {\n return element === event.target;\n }\n else {\n return true;\n }\n },\n};\nconst descriptorPattern = /^(?:(?:([^.]+?)\\+)?(.+?)(?:\\.(.+?))?(?:@(window|document))?->)?(.+?)(?:#([^:]+?))(?::(.+))?$/;\nfunction parseActionDescriptorString(descriptorString) {\n const source = descriptorString.trim();\n const matches = source.match(descriptorPattern) || [];\n let eventName = matches[2];\n let keyFilter = matches[3];\n if (keyFilter && ![\"keydown\", \"keyup\", \"keypress\"].includes(eventName)) {\n eventName += `.${keyFilter}`;\n keyFilter = \"\";\n }\n return {\n eventTarget: parseEventTarget(matches[4]),\n eventName,\n eventOptions: matches[7] ? parseEventOptions(matches[7]) : {},\n identifier: matches[5],\n methodName: matches[6],\n keyFilter: matches[1] || keyFilter,\n };\n}\nfunction parseEventTarget(eventTargetName) {\n if (eventTargetName == \"window\") {\n return window;\n }\n else if (eventTargetName == \"document\") {\n return document;\n }\n}\nfunction parseEventOptions(eventOptions) {\n return eventOptions\n .split(\":\")\n .reduce((options, token) => Object.assign(options, { [token.replace(/^!/, \"\")]: !/^!/.test(token) }), {});\n}\nfunction stringifyEventTarget(eventTarget) {\n if (eventTarget == window) {\n return \"window\";\n }\n else if (eventTarget == document) {\n return \"document\";\n }\n}\n\nfunction camelize(value) {\n return value.replace(/(?:[_-])([a-z0-9])/g, (_, char) => char.toUpperCase());\n}\nfunction namespaceCamelize(value) {\n return camelize(value.replace(/--/g, \"-\").replace(/__/g, \"_\"));\n}\nfunction capitalize(value) {\n return value.charAt(0).toUpperCase() + value.slice(1);\n}\nfunction dasherize(value) {\n return value.replace(/([A-Z])/g, (_, char) => `-${char.toLowerCase()}`);\n}\nfunction tokenize(value) {\n return value.match(/[^\\s]+/g) || [];\n}\n\nfunction isSomething(object) {\n return object !== null && object !== undefined;\n}\nfunction hasProperty(object, property) {\n return Object.prototype.hasOwnProperty.call(object, property);\n}\n\nconst allModifiers = [\"meta\", \"ctrl\", \"alt\", \"shift\"];\nclass Action {\n constructor(element, index, descriptor, schema) {\n this.element = element;\n this.index = index;\n this.eventTarget = descriptor.eventTarget || element;\n this.eventName = descriptor.eventName || getDefaultEventNameForElement(element) || error(\"missing event name\");\n this.eventOptions = descriptor.eventOptions || {};\n this.identifier = descriptor.identifier || error(\"missing identifier\");\n this.methodName = descriptor.methodName || error(\"missing method name\");\n this.keyFilter = descriptor.keyFilter || \"\";\n this.schema = schema;\n }\n static forToken(token, schema) {\n return new this(token.element, token.index, parseActionDescriptorString(token.content), schema);\n }\n toString() {\n const eventFilter = this.keyFilter ? `.${this.keyFilter}` : \"\";\n const eventTarget = this.eventTargetName ? `@${this.eventTargetName}` : \"\";\n return `${this.eventName}${eventFilter}${eventTarget}->${this.identifier}#${this.methodName}`;\n }\n shouldIgnoreKeyboardEvent(event) {\n if (!this.keyFilter) {\n return false;\n }\n const filters = this.keyFilter.split(\"+\");\n if (this.keyFilterDissatisfied(event, filters)) {\n return true;\n }\n const standardFilter = filters.filter((key) => !allModifiers.includes(key))[0];\n if (!standardFilter) {\n return false;\n }\n if (!hasProperty(this.keyMappings, standardFilter)) {\n error(`contains unknown key filter: ${this.keyFilter}`);\n }\n return this.keyMappings[standardFilter].toLowerCase() !== event.key.toLowerCase();\n }\n shouldIgnoreMouseEvent(event) {\n if (!this.keyFilter) {\n return false;\n }\n const filters = [this.keyFilter];\n if (this.keyFilterDissatisfied(event, filters)) {\n return true;\n }\n return false;\n }\n get params() {\n const params = {};\n const pattern = new RegExp(`^data-${this.identifier}-(.+)-param$`, \"i\");\n for (const { name, value } of Array.from(this.element.attributes)) {\n const match = name.match(pattern);\n const key = match && match[1];\n if (key) {\n params[camelize(key)] = typecast(value);\n }\n }\n return params;\n }\n get eventTargetName() {\n return stringifyEventTarget(this.eventTarget);\n }\n get keyMappings() {\n return this.schema.keyMappings;\n }\n keyFilterDissatisfied(event, filters) {\n const [meta, ctrl, alt, shift] = allModifiers.map((modifier) => filters.includes(modifier));\n return event.metaKey !== meta || event.ctrlKey !== ctrl || event.altKey !== alt || event.shiftKey !== shift;\n }\n}\nconst defaultEventNames = {\n a: () => \"click\",\n button: () => \"click\",\n form: () => \"submit\",\n details: () => \"toggle\",\n input: (e) => (e.getAttribute(\"type\") == \"submit\" ? \"click\" : \"input\"),\n select: () => \"change\",\n textarea: () => \"input\",\n};\nfunction getDefaultEventNameForElement(element) {\n const tagName = element.tagName.toLowerCase();\n if (tagName in defaultEventNames) {\n return defaultEventNames[tagName](element);\n }\n}\nfunction error(message) {\n throw new Error(message);\n}\nfunction typecast(value) {\n try {\n return JSON.parse(value);\n }\n catch (o_O) {\n return value;\n }\n}\n\nclass Binding {\n constructor(context, action) {\n this.context = context;\n this.action = action;\n }\n get index() {\n return this.action.index;\n }\n get eventTarget() {\n return this.action.eventTarget;\n }\n get eventOptions() {\n return this.action.eventOptions;\n }\n get identifier() {\n return this.context.identifier;\n }\n handleEvent(event) {\n const actionEvent = this.prepareActionEvent(event);\n if (this.willBeInvokedByEvent(event) && this.applyEventModifiers(actionEvent)) {\n this.invokeWithEvent(actionEvent);\n }\n }\n get eventName() {\n return this.action.eventName;\n }\n get method() {\n const method = this.controller[this.methodName];\n if (typeof method == \"function\") {\n return method;\n }\n throw new Error(`Action \"${this.action}\" references undefined method \"${this.methodName}\"`);\n }\n applyEventModifiers(event) {\n const { element } = this.action;\n const { actionDescriptorFilters } = this.context.application;\n const { controller } = this.context;\n let passes = true;\n for (const [name, value] of Object.entries(this.eventOptions)) {\n if (name in actionDescriptorFilters) {\n const filter = actionDescriptorFilters[name];\n passes = passes && filter({ name, value, event, element, controller });\n }\n else {\n continue;\n }\n }\n return passes;\n }\n prepareActionEvent(event) {\n return Object.assign(event, { params: this.action.params });\n }\n invokeWithEvent(event) {\n const { target, currentTarget } = event;\n try {\n this.method.call(this.controller, event);\n this.context.logDebugActivity(this.methodName, { event, target, currentTarget, action: this.methodName });\n }\n catch (error) {\n const { identifier, controller, element, index } = this;\n const detail = { identifier, controller, element, index, event };\n this.context.handleError(error, `invoking action \"${this.action}\"`, detail);\n }\n }\n willBeInvokedByEvent(event) {\n const eventTarget = event.target;\n if (event instanceof KeyboardEvent && this.action.shouldIgnoreKeyboardEvent(event)) {\n return false;\n }\n if (event instanceof MouseEvent && this.action.shouldIgnoreMouseEvent(event)) {\n return false;\n }\n if (this.element === eventTarget) {\n return true;\n }\n else if (eventTarget instanceof Element && this.element.contains(eventTarget)) {\n return this.scope.containsElement(eventTarget);\n }\n else {\n return this.scope.containsElement(this.action.element);\n }\n }\n get controller() {\n return this.context.controller;\n }\n get methodName() {\n return this.action.methodName;\n }\n get element() {\n return this.scope.element;\n }\n get scope() {\n return this.context.scope;\n }\n}\n\nclass ElementObserver {\n constructor(element, delegate) {\n this.mutationObserverInit = { attributes: true, childList: true, subtree: true };\n this.element = element;\n this.started = false;\n this.delegate = delegate;\n this.elements = new Set();\n this.mutationObserver = new MutationObserver((mutations) => this.processMutations(mutations));\n }\n start() {\n if (!this.started) {\n this.started = true;\n this.mutationObserver.observe(this.element, this.mutationObserverInit);\n this.refresh();\n }\n }\n pause(callback) {\n if (this.started) {\n this.mutationObserver.disconnect();\n this.started = false;\n }\n callback();\n if (!this.started) {\n this.mutationObserver.observe(this.element, this.mutationObserverInit);\n this.started = true;\n }\n }\n stop() {\n if (this.started) {\n this.mutationObserver.takeRecords();\n this.mutationObserver.disconnect();\n this.started = false;\n }\n }\n refresh() {\n if (this.started) {\n const matches = new Set(this.matchElementsInTree());\n for (const element of Array.from(this.elements)) {\n if (!matches.has(element)) {\n this.removeElement(element);\n }\n }\n for (const element of Array.from(matches)) {\n this.addElement(element);\n }\n }\n }\n processMutations(mutations) {\n if (this.started) {\n for (const mutation of mutations) {\n this.processMutation(mutation);\n }\n }\n }\n processMutation(mutation) {\n if (mutation.type == \"attributes\") {\n this.processAttributeChange(mutation.target, mutation.attributeName);\n }\n else if (mutation.type == \"childList\") {\n this.processRemovedNodes(mutation.removedNodes);\n this.processAddedNodes(mutation.addedNodes);\n }\n }\n processAttributeChange(element, attributeName) {\n if (this.elements.has(element)) {\n if (this.delegate.elementAttributeChanged && this.matchElement(element)) {\n this.delegate.elementAttributeChanged(element, attributeName);\n }\n else {\n this.removeElement(element);\n }\n }\n else if (this.matchElement(element)) {\n this.addElement(element);\n }\n }\n processRemovedNodes(nodes) {\n for (const node of Array.from(nodes)) {\n const element = this.elementFromNode(node);\n if (element) {\n this.processTree(element, this.removeElement);\n }\n }\n }\n processAddedNodes(nodes) {\n for (const node of Array.from(nodes)) {\n const element = this.elementFromNode(node);\n if (element && this.elementIsActive(element)) {\n this.processTree(element, this.addElement);\n }\n }\n }\n matchElement(element) {\n return this.delegate.matchElement(element);\n }\n matchElementsInTree(tree = this.element) {\n return this.delegate.matchElementsInTree(tree);\n }\n processTree(tree, processor) {\n for (const element of this.matchElementsInTree(tree)) {\n processor.call(this, element);\n }\n }\n elementFromNode(node) {\n if (node.nodeType == Node.ELEMENT_NODE) {\n return node;\n }\n }\n elementIsActive(element) {\n if (element.isConnected != this.element.isConnected) {\n return false;\n }\n else {\n return this.element.contains(element);\n }\n }\n addElement(element) {\n if (!this.elements.has(element)) {\n if (this.elementIsActive(element)) {\n this.elements.add(element);\n if (this.delegate.elementMatched) {\n this.delegate.elementMatched(element);\n }\n }\n }\n }\n removeElement(element) {\n if (this.elements.has(element)) {\n this.elements.delete(element);\n if (this.delegate.elementUnmatched) {\n this.delegate.elementUnmatched(element);\n }\n }\n }\n}\n\nclass AttributeObserver {\n constructor(element, attributeName, delegate) {\n this.attributeName = attributeName;\n this.delegate = delegate;\n this.elementObserver = new ElementObserver(element, this);\n }\n get element() {\n return this.elementObserver.element;\n }\n get selector() {\n return `[${this.attributeName}]`;\n }\n start() {\n this.elementObserver.start();\n }\n pause(callback) {\n this.elementObserver.pause(callback);\n }\n stop() {\n this.elementObserver.stop();\n }\n refresh() {\n this.elementObserver.refresh();\n }\n get started() {\n return this.elementObserver.started;\n }\n matchElement(element) {\n return element.hasAttribute(this.attributeName);\n }\n matchElementsInTree(tree) {\n const match = this.matchElement(tree) ? [tree] : [];\n const matches = Array.from(tree.querySelectorAll(this.selector));\n return match.concat(matches);\n }\n elementMatched(element) {\n if (this.delegate.elementMatchedAttribute) {\n this.delegate.elementMatchedAttribute(element, this.attributeName);\n }\n }\n elementUnmatched(element) {\n if (this.delegate.elementUnmatchedAttribute) {\n this.delegate.elementUnmatchedAttribute(element, this.attributeName);\n }\n }\n elementAttributeChanged(element, attributeName) {\n if (this.delegate.elementAttributeValueChanged && this.attributeName == attributeName) {\n this.delegate.elementAttributeValueChanged(element, attributeName);\n }\n }\n}\n\nfunction add(map, key, value) {\n fetch(map, key).add(value);\n}\nfunction del(map, key, value) {\n fetch(map, key).delete(value);\n prune(map, key);\n}\nfunction fetch(map, key) {\n let values = map.get(key);\n if (!values) {\n values = new Set();\n map.set(key, values);\n }\n return values;\n}\nfunction prune(map, key) {\n const values = map.get(key);\n if (values != null && values.size == 0) {\n map.delete(key);\n }\n}\n\nclass Multimap {\n constructor() {\n this.valuesByKey = new Map();\n }\n get keys() {\n return Array.from(this.valuesByKey.keys());\n }\n get values() {\n const sets = Array.from(this.valuesByKey.values());\n return sets.reduce((values, set) => values.concat(Array.from(set)), []);\n }\n get size() {\n const sets = Array.from(this.valuesByKey.values());\n return sets.reduce((size, set) => size + set.size, 0);\n }\n add(key, value) {\n add(this.valuesByKey, key, value);\n }\n delete(key, value) {\n del(this.valuesByKey, key, value);\n }\n has(key, value) {\n const values = this.valuesByKey.get(key);\n return values != null && values.has(value);\n }\n hasKey(key) {\n return this.valuesByKey.has(key);\n }\n hasValue(value) {\n const sets = Array.from(this.valuesByKey.values());\n return sets.some((set) => set.has(value));\n }\n getValuesForKey(key) {\n const values = this.valuesByKey.get(key);\n return values ? Array.from(values) : [];\n }\n getKeysForValue(value) {\n return Array.from(this.valuesByKey)\n .filter(([_key, values]) => values.has(value))\n .map(([key, _values]) => key);\n }\n}\n\nclass IndexedMultimap extends Multimap {\n constructor() {\n super();\n this.keysByValue = new Map();\n }\n get values() {\n return Array.from(this.keysByValue.keys());\n }\n add(key, value) {\n super.add(key, value);\n add(this.keysByValue, value, key);\n }\n delete(key, value) {\n super.delete(key, value);\n del(this.keysByValue, value, key);\n }\n hasValue(value) {\n return this.keysByValue.has(value);\n }\n getKeysForValue(value) {\n const set = this.keysByValue.get(value);\n return set ? Array.from(set) : [];\n }\n}\n\nclass SelectorObserver {\n constructor(element, selector, delegate, details) {\n this._selector = selector;\n this.details = details;\n this.elementObserver = new ElementObserver(element, this);\n this.delegate = delegate;\n this.matchesByElement = new Multimap();\n }\n get started() {\n return this.elementObserver.started;\n }\n get selector() {\n return this._selector;\n }\n set selector(selector) {\n this._selector = selector;\n this.refresh();\n }\n start() {\n this.elementObserver.start();\n }\n pause(callback) {\n this.elementObserver.pause(callback);\n }\n stop() {\n this.elementObserver.stop();\n }\n refresh() {\n this.elementObserver.refresh();\n }\n get element() {\n return this.elementObserver.element;\n }\n matchElement(element) {\n const { selector } = this;\n if (selector) {\n const matches = element.matches(selector);\n if (this.delegate.selectorMatchElement) {\n return matches && this.delegate.selectorMatchElement(element, this.details);\n }\n return matches;\n }\n else {\n return false;\n }\n }\n matchElementsInTree(tree) {\n const { selector } = this;\n if (selector) {\n const match = this.matchElement(tree) ? [tree] : [];\n const matches = Array.from(tree.querySelectorAll(selector)).filter((match) => this.matchElement(match));\n return match.concat(matches);\n }\n else {\n return [];\n }\n }\n elementMatched(element) {\n const { selector } = this;\n if (selector) {\n this.selectorMatched(element, selector);\n }\n }\n elementUnmatched(element) {\n const selectors = this.matchesByElement.getKeysForValue(element);\n for (const selector of selectors) {\n this.selectorUnmatched(element, selector);\n }\n }\n elementAttributeChanged(element, _attributeName) {\n const { selector } = this;\n if (selector) {\n const matches = this.matchElement(element);\n const matchedBefore = this.matchesByElement.has(selector, element);\n if (matches && !matchedBefore) {\n this.selectorMatched(element, selector);\n }\n else if (!matches && matchedBefore) {\n this.selectorUnmatched(element, selector);\n }\n }\n }\n selectorMatched(element, selector) {\n this.delegate.selectorMatched(element, selector, this.details);\n this.matchesByElement.add(selector, element);\n }\n selectorUnmatched(element, selector) {\n this.delegate.selectorUnmatched(element, selector, this.details);\n this.matchesByElement.delete(selector, element);\n }\n}\n\nclass StringMapObserver {\n constructor(element, delegate) {\n this.element = element;\n this.delegate = delegate;\n this.started = false;\n this.stringMap = new Map();\n this.mutationObserver = new MutationObserver((mutations) => this.processMutations(mutations));\n }\n start() {\n if (!this.started) {\n this.started = true;\n this.mutationObserver.observe(this.element, { attributes: true, attributeOldValue: true });\n this.refresh();\n }\n }\n stop() {\n if (this.started) {\n this.mutationObserver.takeRecords();\n this.mutationObserver.disconnect();\n this.started = false;\n }\n }\n refresh() {\n if (this.started) {\n for (const attributeName of this.knownAttributeNames) {\n this.refreshAttribute(attributeName, null);\n }\n }\n }\n processMutations(mutations) {\n if (this.started) {\n for (const mutation of mutations) {\n this.processMutation(mutation);\n }\n }\n }\n processMutation(mutation) {\n const attributeName = mutation.attributeName;\n if (attributeName) {\n this.refreshAttribute(attributeName, mutation.oldValue);\n }\n }\n refreshAttribute(attributeName, oldValue) {\n const key = this.delegate.getStringMapKeyForAttribute(attributeName);\n if (key != null) {\n if (!this.stringMap.has(attributeName)) {\n this.stringMapKeyAdded(key, attributeName);\n }\n const value = this.element.getAttribute(attributeName);\n if (this.stringMap.get(attributeName) != value) {\n this.stringMapValueChanged(value, key, oldValue);\n }\n if (value == null) {\n const oldValue = this.stringMap.get(attributeName);\n this.stringMap.delete(attributeName);\n if (oldValue)\n this.stringMapKeyRemoved(key, attributeName, oldValue);\n }\n else {\n this.stringMap.set(attributeName, value);\n }\n }\n }\n stringMapKeyAdded(key, attributeName) {\n if (this.delegate.stringMapKeyAdded) {\n this.delegate.stringMapKeyAdded(key, attributeName);\n }\n }\n stringMapValueChanged(value, key, oldValue) {\n if (this.delegate.stringMapValueChanged) {\n this.delegate.stringMapValueChanged(value, key, oldValue);\n }\n }\n stringMapKeyRemoved(key, attributeName, oldValue) {\n if (this.delegate.stringMapKeyRemoved) {\n this.delegate.stringMapKeyRemoved(key, attributeName, oldValue);\n }\n }\n get knownAttributeNames() {\n return Array.from(new Set(this.currentAttributeNames.concat(this.recordedAttributeNames)));\n }\n get currentAttributeNames() {\n return Array.from(this.element.attributes).map((attribute) => attribute.name);\n }\n get recordedAttributeNames() {\n return Array.from(this.stringMap.keys());\n }\n}\n\nclass TokenListObserver {\n constructor(element, attributeName, delegate) {\n this.attributeObserver = new AttributeObserver(element, attributeName, this);\n this.delegate = delegate;\n this.tokensByElement = new Multimap();\n }\n get started() {\n return this.attributeObserver.started;\n }\n start() {\n this.attributeObserver.start();\n }\n pause(callback) {\n this.attributeObserver.pause(callback);\n }\n stop() {\n this.attributeObserver.stop();\n }\n refresh() {\n this.attributeObserver.refresh();\n }\n get element() {\n return this.attributeObserver.element;\n }\n get attributeName() {\n return this.attributeObserver.attributeName;\n }\n elementMatchedAttribute(element) {\n this.tokensMatched(this.readTokensForElement(element));\n }\n elementAttributeValueChanged(element) {\n const [unmatchedTokens, matchedTokens] = this.refreshTokensForElement(element);\n this.tokensUnmatched(unmatchedTokens);\n this.tokensMatched(matchedTokens);\n }\n elementUnmatchedAttribute(element) {\n this.tokensUnmatched(this.tokensByElement.getValuesForKey(element));\n }\n tokensMatched(tokens) {\n tokens.forEach((token) => this.tokenMatched(token));\n }\n tokensUnmatched(tokens) {\n tokens.forEach((token) => this.tokenUnmatched(token));\n }\n tokenMatched(token) {\n this.delegate.tokenMatched(token);\n this.tokensByElement.add(token.element, token);\n }\n tokenUnmatched(token) {\n this.delegate.tokenUnmatched(token);\n this.tokensByElement.delete(token.element, token);\n }\n refreshTokensForElement(element) {\n const previousTokens = this.tokensByElement.getValuesForKey(element);\n const currentTokens = this.readTokensForElement(element);\n const firstDifferingIndex = zip(previousTokens, currentTokens).findIndex(([previousToken, currentToken]) => !tokensAreEqual(previousToken, currentToken));\n if (firstDifferingIndex == -1) {\n return [[], []];\n }\n else {\n return [previousTokens.slice(firstDifferingIndex), currentTokens.slice(firstDifferingIndex)];\n }\n }\n readTokensForElement(element) {\n const attributeName = this.attributeName;\n const tokenString = element.getAttribute(attributeName) || \"\";\n return parseTokenString(tokenString, element, attributeName);\n }\n}\nfunction parseTokenString(tokenString, element, attributeName) {\n return tokenString\n .trim()\n .split(/\\s+/)\n .filter((content) => content.length)\n .map((content, index) => ({ element, attributeName, content, index }));\n}\nfunction zip(left, right) {\n const length = Math.max(left.length, right.length);\n return Array.from({ length }, (_, index) => [left[index], right[index]]);\n}\nfunction tokensAreEqual(left, right) {\n return left && right && left.index == right.index && left.content == right.content;\n}\n\nclass ValueListObserver {\n constructor(element, attributeName, delegate) {\n this.tokenListObserver = new TokenListObserver(element, attributeName, this);\n this.delegate = delegate;\n this.parseResultsByToken = new WeakMap();\n this.valuesByTokenByElement = new WeakMap();\n }\n get started() {\n return this.tokenListObserver.started;\n }\n start() {\n this.tokenListObserver.start();\n }\n stop() {\n this.tokenListObserver.stop();\n }\n refresh() {\n this.tokenListObserver.refresh();\n }\n get element() {\n return this.tokenListObserver.element;\n }\n get attributeName() {\n return this.tokenListObserver.attributeName;\n }\n tokenMatched(token) {\n const { element } = token;\n const { value } = this.fetchParseResultForToken(token);\n if (value) {\n this.fetchValuesByTokenForElement(element).set(token, value);\n this.delegate.elementMatchedValue(element, value);\n }\n }\n tokenUnmatched(token) {\n const { element } = token;\n const { value } = this.fetchParseResultForToken(token);\n if (value) {\n this.fetchValuesByTokenForElement(element).delete(token);\n this.delegate.elementUnmatchedValue(element, value);\n }\n }\n fetchParseResultForToken(token) {\n let parseResult = this.parseResultsByToken.get(token);\n if (!parseResult) {\n parseResult = this.parseToken(token);\n this.parseResultsByToken.set(token, parseResult);\n }\n return parseResult;\n }\n fetchValuesByTokenForElement(element) {\n let valuesByToken = this.valuesByTokenByElement.get(element);\n if (!valuesByToken) {\n valuesByToken = new Map();\n this.valuesByTokenByElement.set(element, valuesByToken);\n }\n return valuesByToken;\n }\n parseToken(token) {\n try {\n const value = this.delegate.parseValueForToken(token);\n return { value };\n }\n catch (error) {\n return { error };\n }\n }\n}\n\nclass BindingObserver {\n constructor(context, delegate) {\n this.context = context;\n this.delegate = delegate;\n this.bindingsByAction = new Map();\n }\n start() {\n if (!this.valueListObserver) {\n this.valueListObserver = new ValueListObserver(this.element, this.actionAttribute, this);\n this.valueListObserver.start();\n }\n }\n stop() {\n if (this.valueListObserver) {\n this.valueListObserver.stop();\n delete this.valueListObserver;\n this.disconnectAllActions();\n }\n }\n get element() {\n return this.context.element;\n }\n get identifier() {\n return this.context.identifier;\n }\n get actionAttribute() {\n return this.schema.actionAttribute;\n }\n get schema() {\n return this.context.schema;\n }\n get bindings() {\n return Array.from(this.bindingsByAction.values());\n }\n connectAction(action) {\n const binding = new Binding(this.context, action);\n this.bindingsByAction.set(action, binding);\n this.delegate.bindingConnected(binding);\n }\n disconnectAction(action) {\n const binding = this.bindingsByAction.get(action);\n if (binding) {\n this.bindingsByAction.delete(action);\n this.delegate.bindingDisconnected(binding);\n }\n }\n disconnectAllActions() {\n this.bindings.forEach((binding) => this.delegate.bindingDisconnected(binding, true));\n this.bindingsByAction.clear();\n }\n parseValueForToken(token) {\n const action = Action.forToken(token, this.schema);\n if (action.identifier == this.identifier) {\n return action;\n }\n }\n elementMatchedValue(element, action) {\n this.connectAction(action);\n }\n elementUnmatchedValue(element, action) {\n this.disconnectAction(action);\n }\n}\n\nclass ValueObserver {\n constructor(context, receiver) {\n this.context = context;\n this.receiver = receiver;\n this.stringMapObserver = new StringMapObserver(this.element, this);\n this.valueDescriptorMap = this.controller.valueDescriptorMap;\n }\n start() {\n this.stringMapObserver.start();\n this.invokeChangedCallbacksForDefaultValues();\n }\n stop() {\n this.stringMapObserver.stop();\n }\n get element() {\n return this.context.element;\n }\n get controller() {\n return this.context.controller;\n }\n getStringMapKeyForAttribute(attributeName) {\n if (attributeName in this.valueDescriptorMap) {\n return this.valueDescriptorMap[attributeName].name;\n }\n }\n stringMapKeyAdded(key, attributeName) {\n const descriptor = this.valueDescriptorMap[attributeName];\n if (!this.hasValue(key)) {\n this.invokeChangedCallback(key, descriptor.writer(this.receiver[key]), descriptor.writer(descriptor.defaultValue));\n }\n }\n stringMapValueChanged(value, name, oldValue) {\n const descriptor = this.valueDescriptorNameMap[name];\n if (value === null)\n return;\n if (oldValue === null) {\n oldValue = descriptor.writer(descriptor.defaultValue);\n }\n this.invokeChangedCallback(name, value, oldValue);\n }\n stringMapKeyRemoved(key, attributeName, oldValue) {\n const descriptor = this.valueDescriptorNameMap[key];\n if (this.hasValue(key)) {\n this.invokeChangedCallback(key, descriptor.writer(this.receiver[key]), oldValue);\n }\n else {\n this.invokeChangedCallback(key, descriptor.writer(descriptor.defaultValue), oldValue);\n }\n }\n invokeChangedCallbacksForDefaultValues() {\n for (const { key, name, defaultValue, writer } of this.valueDescriptors) {\n if (defaultValue != undefined && !this.controller.data.has(key)) {\n this.invokeChangedCallback(name, writer(defaultValue), undefined);\n }\n }\n }\n invokeChangedCallback(name, rawValue, rawOldValue) {\n const changedMethodName = `${name}Changed`;\n const changedMethod = this.receiver[changedMethodName];\n if (typeof changedMethod == \"function\") {\n const descriptor = this.valueDescriptorNameMap[name];\n try {\n const value = descriptor.reader(rawValue);\n let oldValue = rawOldValue;\n if (rawOldValue) {\n oldValue = descriptor.reader(rawOldValue);\n }\n changedMethod.call(this.receiver, value, oldValue);\n }\n catch (error) {\n if (error instanceof TypeError) {\n error.message = `Stimulus Value \"${this.context.identifier}.${descriptor.name}\" - ${error.message}`;\n }\n throw error;\n }\n }\n }\n get valueDescriptors() {\n const { valueDescriptorMap } = this;\n return Object.keys(valueDescriptorMap).map((key) => valueDescriptorMap[key]);\n }\n get valueDescriptorNameMap() {\n const descriptors = {};\n Object.keys(this.valueDescriptorMap).forEach((key) => {\n const descriptor = this.valueDescriptorMap[key];\n descriptors[descriptor.name] = descriptor;\n });\n return descriptors;\n }\n hasValue(attributeName) {\n const descriptor = this.valueDescriptorNameMap[attributeName];\n const hasMethodName = `has${capitalize(descriptor.name)}`;\n return this.receiver[hasMethodName];\n }\n}\n\nclass TargetObserver {\n constructor(context, delegate) {\n this.context = context;\n this.delegate = delegate;\n this.targetsByName = new Multimap();\n }\n start() {\n if (!this.tokenListObserver) {\n this.tokenListObserver = new TokenListObserver(this.element, this.attributeName, this);\n this.tokenListObserver.start();\n }\n }\n stop() {\n if (this.tokenListObserver) {\n this.disconnectAllTargets();\n this.tokenListObserver.stop();\n delete this.tokenListObserver;\n }\n }\n tokenMatched({ element, content: name }) {\n if (this.scope.containsElement(element)) {\n this.connectTarget(element, name);\n }\n }\n tokenUnmatched({ element, content: name }) {\n this.disconnectTarget(element, name);\n }\n connectTarget(element, name) {\n var _a;\n if (!this.targetsByName.has(name, element)) {\n this.targetsByName.add(name, element);\n (_a = this.tokenListObserver) === null || _a === void 0 ? void 0 : _a.pause(() => this.delegate.targetConnected(element, name));\n }\n }\n disconnectTarget(element, name) {\n var _a;\n if (this.targetsByName.has(name, element)) {\n this.targetsByName.delete(name, element);\n (_a = this.tokenListObserver) === null || _a === void 0 ? void 0 : _a.pause(() => this.delegate.targetDisconnected(element, name));\n }\n }\n disconnectAllTargets() {\n for (const name of this.targetsByName.keys) {\n for (const element of this.targetsByName.getValuesForKey(name)) {\n this.disconnectTarget(element, name);\n }\n }\n }\n get attributeName() {\n return `data-${this.context.identifier}-target`;\n }\n get element() {\n return this.context.element;\n }\n get scope() {\n return this.context.scope;\n }\n}\n\nfunction readInheritableStaticArrayValues(constructor, propertyName) {\n const ancestors = getAncestorsForConstructor(constructor);\n return Array.from(ancestors.reduce((values, constructor) => {\n getOwnStaticArrayValues(constructor, propertyName).forEach((name) => values.add(name));\n return values;\n }, new Set()));\n}\nfunction readInheritableStaticObjectPairs(constructor, propertyName) {\n const ancestors = getAncestorsForConstructor(constructor);\n return ancestors.reduce((pairs, constructor) => {\n pairs.push(...getOwnStaticObjectPairs(constructor, propertyName));\n return pairs;\n }, []);\n}\nfunction getAncestorsForConstructor(constructor) {\n const ancestors = [];\n while (constructor) {\n ancestors.push(constructor);\n constructor = Object.getPrototypeOf(constructor);\n }\n return ancestors.reverse();\n}\nfunction getOwnStaticArrayValues(constructor, propertyName) {\n const definition = constructor[propertyName];\n return Array.isArray(definition) ? definition : [];\n}\nfunction getOwnStaticObjectPairs(constructor, propertyName) {\n const definition = constructor[propertyName];\n return definition ? Object.keys(definition).map((key) => [key, definition[key]]) : [];\n}\n\nclass OutletObserver {\n constructor(context, delegate) {\n this.started = false;\n this.context = context;\n this.delegate = delegate;\n this.outletsByName = new Multimap();\n this.outletElementsByName = new Multimap();\n this.selectorObserverMap = new Map();\n this.attributeObserverMap = new Map();\n }\n start() {\n if (!this.started) {\n this.outletDefinitions.forEach((outletName) => {\n this.setupSelectorObserverForOutlet(outletName);\n this.setupAttributeObserverForOutlet(outletName);\n });\n this.started = true;\n this.dependentContexts.forEach((context) => context.refresh());\n }\n }\n refresh() {\n this.selectorObserverMap.forEach((observer) => observer.refresh());\n this.attributeObserverMap.forEach((observer) => observer.refresh());\n }\n stop() {\n if (this.started) {\n this.started = false;\n this.disconnectAllOutlets();\n this.stopSelectorObservers();\n this.stopAttributeObservers();\n }\n }\n stopSelectorObservers() {\n if (this.selectorObserverMap.size > 0) {\n this.selectorObserverMap.forEach((observer) => observer.stop());\n this.selectorObserverMap.clear();\n }\n }\n stopAttributeObservers() {\n if (this.attributeObserverMap.size > 0) {\n this.attributeObserverMap.forEach((observer) => observer.stop());\n this.attributeObserverMap.clear();\n }\n }\n selectorMatched(element, _selector, { outletName }) {\n const outlet = this.getOutlet(element, outletName);\n if (outlet) {\n this.connectOutlet(outlet, element, outletName);\n }\n }\n selectorUnmatched(element, _selector, { outletName }) {\n const outlet = this.getOutletFromMap(element, outletName);\n if (outlet) {\n this.disconnectOutlet(outlet, element, outletName);\n }\n }\n selectorMatchElement(element, { outletName }) {\n const selector = this.selector(outletName);\n const hasOutlet = this.hasOutlet(element, outletName);\n const hasOutletController = element.matches(`[${this.schema.controllerAttribute}~=${outletName}]`);\n if (selector) {\n return hasOutlet && hasOutletController && element.matches(selector);\n }\n else {\n return false;\n }\n }\n elementMatchedAttribute(_element, attributeName) {\n const outletName = this.getOutletNameFromOutletAttributeName(attributeName);\n if (outletName) {\n this.updateSelectorObserverForOutlet(outletName);\n }\n }\n elementAttributeValueChanged(_element, attributeName) {\n const outletName = this.getOutletNameFromOutletAttributeName(attributeName);\n if (outletName) {\n this.updateSelectorObserverForOutlet(outletName);\n }\n }\n elementUnmatchedAttribute(_element, attributeName) {\n const outletName = this.getOutletNameFromOutletAttributeName(attributeName);\n if (outletName) {\n this.updateSelectorObserverForOutlet(outletName);\n }\n }\n connectOutlet(outlet, element, outletName) {\n var _a;\n if (!this.outletElementsByName.has(outletName, element)) {\n this.outletsByName.add(outletName, outlet);\n this.outletElementsByName.add(outletName, element);\n (_a = this.selectorObserverMap.get(outletName)) === null || _a === void 0 ? void 0 : _a.pause(() => this.delegate.outletConnected(outlet, element, outletName));\n }\n }\n disconnectOutlet(outlet, element, outletName) {\n var _a;\n if (this.outletElementsByName.has(outletName, element)) {\n this.outletsByName.delete(outletName, outlet);\n this.outletElementsByName.delete(outletName, element);\n (_a = this.selectorObserverMap\n .get(outletName)) === null || _a === void 0 ? void 0 : _a.pause(() => this.delegate.outletDisconnected(outlet, element, outletName));\n }\n }\n disconnectAllOutlets() {\n for (const outletName of this.outletElementsByName.keys) {\n for (const element of this.outletElementsByName.getValuesForKey(outletName)) {\n for (const outlet of this.outletsByName.getValuesForKey(outletName)) {\n this.disconnectOutlet(outlet, element, outletName);\n }\n }\n }\n }\n updateSelectorObserverForOutlet(outletName) {\n const observer = this.selectorObserverMap.get(outletName);\n if (observer) {\n observer.selector = this.selector(outletName);\n }\n }\n setupSelectorObserverForOutlet(outletName) {\n const selector = this.selector(outletName);\n const selectorObserver = new SelectorObserver(document.body, selector, this, { outletName });\n this.selectorObserverMap.set(outletName, selectorObserver);\n selectorObserver.start();\n }\n setupAttributeObserverForOutlet(outletName) {\n const attributeName = this.attributeNameForOutletName(outletName);\n const attributeObserver = new AttributeObserver(this.scope.element, attributeName, this);\n this.attributeObserverMap.set(outletName, attributeObserver);\n attributeObserver.start();\n }\n selector(outletName) {\n return this.scope.outlets.getSelectorForOutletName(outletName);\n }\n attributeNameForOutletName(outletName) {\n return this.scope.schema.outletAttributeForScope(this.identifier, outletName);\n }\n getOutletNameFromOutletAttributeName(attributeName) {\n return this.outletDefinitions.find((outletName) => this.attributeNameForOutletName(outletName) === attributeName);\n }\n get outletDependencies() {\n const dependencies = new Multimap();\n this.router.modules.forEach((module) => {\n const constructor = module.definition.controllerConstructor;\n const outlets = readInheritableStaticArrayValues(constructor, \"outlets\");\n outlets.forEach((outlet) => dependencies.add(outlet, module.identifier));\n });\n return dependencies;\n }\n get outletDefinitions() {\n return this.outletDependencies.getKeysForValue(this.identifier);\n }\n get dependentControllerIdentifiers() {\n return this.outletDependencies.getValuesForKey(this.identifier);\n }\n get dependentContexts() {\n const identifiers = this.dependentControllerIdentifiers;\n return this.router.contexts.filter((context) => identifiers.includes(context.identifier));\n }\n hasOutlet(element, outletName) {\n return !!this.getOutlet(element, outletName) || !!this.getOutletFromMap(element, outletName);\n }\n getOutlet(element, outletName) {\n return this.application.getControllerForElementAndIdentifier(element, outletName);\n }\n getOutletFromMap(element, outletName) {\n return this.outletsByName.getValuesForKey(outletName).find((outlet) => outlet.element === element);\n }\n get scope() {\n return this.context.scope;\n }\n get schema() {\n return this.context.schema;\n }\n get identifier() {\n return this.context.identifier;\n }\n get application() {\n return this.context.application;\n }\n get router() {\n return this.application.router;\n }\n}\n\nclass Context {\n constructor(module, scope) {\n this.logDebugActivity = (functionName, detail = {}) => {\n const { identifier, controller, element } = this;\n detail = Object.assign({ identifier, controller, element }, detail);\n this.application.logDebugActivity(this.identifier, functionName, detail);\n };\n this.module = module;\n this.scope = scope;\n this.controller = new module.controllerConstructor(this);\n this.bindingObserver = new BindingObserver(this, this.dispatcher);\n this.valueObserver = new ValueObserver(this, this.controller);\n this.targetObserver = new TargetObserver(this, this);\n this.outletObserver = new OutletObserver(this, this);\n try {\n this.controller.initialize();\n this.logDebugActivity(\"initialize\");\n }\n catch (error) {\n this.handleError(error, \"initializing controller\");\n }\n }\n connect() {\n this.bindingObserver.start();\n this.valueObserver.start();\n this.targetObserver.start();\n this.outletObserver.start();\n try {\n this.controller.connect();\n this.logDebugActivity(\"connect\");\n }\n catch (error) {\n this.handleError(error, \"connecting controller\");\n }\n }\n refresh() {\n this.outletObserver.refresh();\n }\n disconnect() {\n try {\n this.controller.disconnect();\n this.logDebugActivity(\"disconnect\");\n }\n catch (error) {\n this.handleError(error, \"disconnecting controller\");\n }\n this.outletObserver.stop();\n this.targetObserver.stop();\n this.valueObserver.stop();\n this.bindingObserver.stop();\n }\n get application() {\n return this.module.application;\n }\n get identifier() {\n return this.module.identifier;\n }\n get schema() {\n return this.application.schema;\n }\n get dispatcher() {\n return this.application.dispatcher;\n }\n get element() {\n return this.scope.element;\n }\n get parentElement() {\n return this.element.parentElement;\n }\n handleError(error, message, detail = {}) {\n const { identifier, controller, element } = this;\n detail = Object.assign({ identifier, controller, element }, detail);\n this.application.handleError(error, `Error ${message}`, detail);\n }\n targetConnected(element, name) {\n this.invokeControllerMethod(`${name}TargetConnected`, element);\n }\n targetDisconnected(element, name) {\n this.invokeControllerMethod(`${name}TargetDisconnected`, element);\n }\n outletConnected(outlet, element, name) {\n this.invokeControllerMethod(`${namespaceCamelize(name)}OutletConnected`, outlet, element);\n }\n outletDisconnected(outlet, element, name) {\n this.invokeControllerMethod(`${namespaceCamelize(name)}OutletDisconnected`, outlet, element);\n }\n invokeControllerMethod(methodName, ...args) {\n const controller = this.controller;\n if (typeof controller[methodName] == \"function\") {\n controller[methodName](...args);\n }\n }\n}\n\nfunction bless(constructor) {\n return shadow(constructor, getBlessedProperties(constructor));\n}\nfunction shadow(constructor, properties) {\n const shadowConstructor = extend(constructor);\n const shadowProperties = getShadowProperties(constructor.prototype, properties);\n Object.defineProperties(shadowConstructor.prototype, shadowProperties);\n return shadowConstructor;\n}\nfunction getBlessedProperties(constructor) {\n const blessings = readInheritableStaticArrayValues(constructor, \"blessings\");\n return blessings.reduce((blessedProperties, blessing) => {\n const properties = blessing(constructor);\n for (const key in properties) {\n const descriptor = blessedProperties[key] || {};\n blessedProperties[key] = Object.assign(descriptor, properties[key]);\n }\n return blessedProperties;\n }, {});\n}\nfunction getShadowProperties(prototype, properties) {\n return getOwnKeys(properties).reduce((shadowProperties, key) => {\n const descriptor = getShadowedDescriptor(prototype, properties, key);\n if (descriptor) {\n Object.assign(shadowProperties, { [key]: descriptor });\n }\n return shadowProperties;\n }, {});\n}\nfunction getShadowedDescriptor(prototype, properties, key) {\n const shadowingDescriptor = Object.getOwnPropertyDescriptor(prototype, key);\n const shadowedByValue = shadowingDescriptor && \"value\" in shadowingDescriptor;\n if (!shadowedByValue) {\n const descriptor = Object.getOwnPropertyDescriptor(properties, key).value;\n if (shadowingDescriptor) {\n descriptor.get = shadowingDescriptor.get || descriptor.get;\n descriptor.set = shadowingDescriptor.set || descriptor.set;\n }\n return descriptor;\n }\n}\nconst getOwnKeys = (() => {\n if (typeof Object.getOwnPropertySymbols == \"function\") {\n return (object) => [...Object.getOwnPropertyNames(object), ...Object.getOwnPropertySymbols(object)];\n }\n else {\n return Object.getOwnPropertyNames;\n }\n})();\nconst extend = (() => {\n function extendWithReflect(constructor) {\n function extended() {\n return Reflect.construct(constructor, arguments, new.target);\n }\n extended.prototype = Object.create(constructor.prototype, {\n constructor: { value: extended },\n });\n Reflect.setPrototypeOf(extended, constructor);\n return extended;\n }\n function testReflectExtension() {\n const a = function () {\n this.a.call(this);\n };\n const b = extendWithReflect(a);\n b.prototype.a = function () { };\n return new b();\n }\n try {\n testReflectExtension();\n return extendWithReflect;\n }\n catch (error) {\n return (constructor) => class extended extends constructor {\n };\n }\n})();\n\nfunction blessDefinition(definition) {\n return {\n identifier: definition.identifier,\n controllerConstructor: bless(definition.controllerConstructor),\n };\n}\n\nclass Module {\n constructor(application, definition) {\n this.application = application;\n this.definition = blessDefinition(definition);\n this.contextsByScope = new WeakMap();\n this.connectedContexts = new Set();\n }\n get identifier() {\n return this.definition.identifier;\n }\n get controllerConstructor() {\n return this.definition.controllerConstructor;\n }\n get contexts() {\n return Array.from(this.connectedContexts);\n }\n connectContextForScope(scope) {\n const context = this.fetchContextForScope(scope);\n this.connectedContexts.add(context);\n context.connect();\n }\n disconnectContextForScope(scope) {\n const context = this.contextsByScope.get(scope);\n if (context) {\n this.connectedContexts.delete(context);\n context.disconnect();\n }\n }\n fetchContextForScope(scope) {\n let context = this.contextsByScope.get(scope);\n if (!context) {\n context = new Context(this, scope);\n this.contextsByScope.set(scope, context);\n }\n return context;\n }\n}\n\nclass ClassMap {\n constructor(scope) {\n this.scope = scope;\n }\n has(name) {\n return this.data.has(this.getDataKey(name));\n }\n get(name) {\n return this.getAll(name)[0];\n }\n getAll(name) {\n const tokenString = this.data.get(this.getDataKey(name)) || \"\";\n return tokenize(tokenString);\n }\n getAttributeName(name) {\n return this.data.getAttributeNameForKey(this.getDataKey(name));\n }\n getDataKey(name) {\n return `${name}-class`;\n }\n get data() {\n return this.scope.data;\n }\n}\n\nclass DataMap {\n constructor(scope) {\n this.scope = scope;\n }\n get element() {\n return this.scope.element;\n }\n get identifier() {\n return this.scope.identifier;\n }\n get(key) {\n const name = this.getAttributeNameForKey(key);\n return this.element.getAttribute(name);\n }\n set(key, value) {\n const name = this.getAttributeNameForKey(key);\n this.element.setAttribute(name, value);\n return this.get(key);\n }\n has(key) {\n const name = this.getAttributeNameForKey(key);\n return this.element.hasAttribute(name);\n }\n delete(key) {\n if (this.has(key)) {\n const name = this.getAttributeNameForKey(key);\n this.element.removeAttribute(name);\n return true;\n }\n else {\n return false;\n }\n }\n getAttributeNameForKey(key) {\n return `data-${this.identifier}-${dasherize(key)}`;\n }\n}\n\nclass Guide {\n constructor(logger) {\n this.warnedKeysByObject = new WeakMap();\n this.logger = logger;\n }\n warn(object, key, message) {\n let warnedKeys = this.warnedKeysByObject.get(object);\n if (!warnedKeys) {\n warnedKeys = new Set();\n this.warnedKeysByObject.set(object, warnedKeys);\n }\n if (!warnedKeys.has(key)) {\n warnedKeys.add(key);\n this.logger.warn(message, object);\n }\n }\n}\n\nfunction attributeValueContainsToken(attributeName, token) {\n return `[${attributeName}~=\"${token}\"]`;\n}\n\nclass TargetSet {\n constructor(scope) {\n this.scope = scope;\n }\n get element() {\n return this.scope.element;\n }\n get identifier() {\n return this.scope.identifier;\n }\n get schema() {\n return this.scope.schema;\n }\n has(targetName) {\n return this.find(targetName) != null;\n }\n find(...targetNames) {\n return targetNames.reduce((target, targetName) => target || this.findTarget(targetName) || this.findLegacyTarget(targetName), undefined);\n }\n findAll(...targetNames) {\n return targetNames.reduce((targets, targetName) => [\n ...targets,\n ...this.findAllTargets(targetName),\n ...this.findAllLegacyTargets(targetName),\n ], []);\n }\n findTarget(targetName) {\n const selector = this.getSelectorForTargetName(targetName);\n return this.scope.findElement(selector);\n }\n findAllTargets(targetName) {\n const selector = this.getSelectorForTargetName(targetName);\n return this.scope.findAllElements(selector);\n }\n getSelectorForTargetName(targetName) {\n const attributeName = this.schema.targetAttributeForScope(this.identifier);\n return attributeValueContainsToken(attributeName, targetName);\n }\n findLegacyTarget(targetName) {\n const selector = this.getLegacySelectorForTargetName(targetName);\n return this.deprecate(this.scope.findElement(selector), targetName);\n }\n findAllLegacyTargets(targetName) {\n const selector = this.getLegacySelectorForTargetName(targetName);\n return this.scope.findAllElements(selector).map((element) => this.deprecate(element, targetName));\n }\n getLegacySelectorForTargetName(targetName) {\n const targetDescriptor = `${this.identifier}.${targetName}`;\n return attributeValueContainsToken(this.schema.targetAttribute, targetDescriptor);\n }\n deprecate(element, targetName) {\n if (element) {\n const { identifier } = this;\n const attributeName = this.schema.targetAttribute;\n const revisedAttributeName = this.schema.targetAttributeForScope(identifier);\n this.guide.warn(element, `target:${targetName}`, `Please replace ${attributeName}=\"${identifier}.${targetName}\" with ${revisedAttributeName}=\"${targetName}\". ` +\n `The ${attributeName} attribute is deprecated and will be removed in a future version of Stimulus.`);\n }\n return element;\n }\n get guide() {\n return this.scope.guide;\n }\n}\n\nclass OutletSet {\n constructor(scope, controllerElement) {\n this.scope = scope;\n this.controllerElement = controllerElement;\n }\n get element() {\n return this.scope.element;\n }\n get identifier() {\n return this.scope.identifier;\n }\n get schema() {\n return this.scope.schema;\n }\n has(outletName) {\n return this.find(outletName) != null;\n }\n find(...outletNames) {\n return outletNames.reduce((outlet, outletName) => outlet || this.findOutlet(outletName), undefined);\n }\n findAll(...outletNames) {\n return outletNames.reduce((outlets, outletName) => [...outlets, ...this.findAllOutlets(outletName)], []);\n }\n getSelectorForOutletName(outletName) {\n const attributeName = this.schema.outletAttributeForScope(this.identifier, outletName);\n return this.controllerElement.getAttribute(attributeName);\n }\n findOutlet(outletName) {\n const selector = this.getSelectorForOutletName(outletName);\n if (selector)\n return this.findElement(selector, outletName);\n }\n findAllOutlets(outletName) {\n const selector = this.getSelectorForOutletName(outletName);\n return selector ? this.findAllElements(selector, outletName) : [];\n }\n findElement(selector, outletName) {\n const elements = this.scope.queryElements(selector);\n return elements.filter((element) => this.matchesElement(element, selector, outletName))[0];\n }\n findAllElements(selector, outletName) {\n const elements = this.scope.queryElements(selector);\n return elements.filter((element) => this.matchesElement(element, selector, outletName));\n }\n matchesElement(element, selector, outletName) {\n const controllerAttribute = element.getAttribute(this.scope.schema.controllerAttribute) || \"\";\n return element.matches(selector) && controllerAttribute.split(\" \").includes(outletName);\n }\n}\n\nclass Scope {\n constructor(schema, element, identifier, logger) {\n this.targets = new TargetSet(this);\n this.classes = new ClassMap(this);\n this.data = new DataMap(this);\n this.containsElement = (element) => {\n return element.closest(this.controllerSelector) === this.element;\n };\n this.schema = schema;\n this.element = element;\n this.identifier = identifier;\n this.guide = new Guide(logger);\n this.outlets = new OutletSet(this.documentScope, element);\n }\n findElement(selector) {\n return this.element.matches(selector) ? this.element : this.queryElements(selector).find(this.containsElement);\n }\n findAllElements(selector) {\n return [\n ...(this.element.matches(selector) ? [this.element] : []),\n ...this.queryElements(selector).filter(this.containsElement),\n ];\n }\n queryElements(selector) {\n return Array.from(this.element.querySelectorAll(selector));\n }\n get controllerSelector() {\n return attributeValueContainsToken(this.schema.controllerAttribute, this.identifier);\n }\n get isDocumentScope() {\n return this.element === document.documentElement;\n }\n get documentScope() {\n return this.isDocumentScope\n ? this\n : new Scope(this.schema, document.documentElement, this.identifier, this.guide.logger);\n }\n}\n\nclass ScopeObserver {\n constructor(element, schema, delegate) {\n this.element = element;\n this.schema = schema;\n this.delegate = delegate;\n this.valueListObserver = new ValueListObserver(this.element, this.controllerAttribute, this);\n this.scopesByIdentifierByElement = new WeakMap();\n this.scopeReferenceCounts = new WeakMap();\n }\n start() {\n this.valueListObserver.start();\n }\n stop() {\n this.valueListObserver.stop();\n }\n get controllerAttribute() {\n return this.schema.controllerAttribute;\n }\n parseValueForToken(token) {\n const { element, content: identifier } = token;\n return this.parseValueForElementAndIdentifier(element, identifier);\n }\n parseValueForElementAndIdentifier(element, identifier) {\n const scopesByIdentifier = this.fetchScopesByIdentifierForElement(element);\n let scope = scopesByIdentifier.get(identifier);\n if (!scope) {\n scope = this.delegate.createScopeForElementAndIdentifier(element, identifier);\n scopesByIdentifier.set(identifier, scope);\n }\n return scope;\n }\n elementMatchedValue(element, value) {\n const referenceCount = (this.scopeReferenceCounts.get(value) || 0) + 1;\n this.scopeReferenceCounts.set(value, referenceCount);\n if (referenceCount == 1) {\n this.delegate.scopeConnected(value);\n }\n }\n elementUnmatchedValue(element, value) {\n const referenceCount = this.scopeReferenceCounts.get(value);\n if (referenceCount) {\n this.scopeReferenceCounts.set(value, referenceCount - 1);\n if (referenceCount == 1) {\n this.delegate.scopeDisconnected(value);\n }\n }\n }\n fetchScopesByIdentifierForElement(element) {\n let scopesByIdentifier = this.scopesByIdentifierByElement.get(element);\n if (!scopesByIdentifier) {\n scopesByIdentifier = new Map();\n this.scopesByIdentifierByElement.set(element, scopesByIdentifier);\n }\n return scopesByIdentifier;\n }\n}\n\nclass Router {\n constructor(application) {\n this.application = application;\n this.scopeObserver = new ScopeObserver(this.element, this.schema, this);\n this.scopesByIdentifier = new Multimap();\n this.modulesByIdentifier = new Map();\n }\n get element() {\n return this.application.element;\n }\n get schema() {\n return this.application.schema;\n }\n get logger() {\n return this.application.logger;\n }\n get controllerAttribute() {\n return this.schema.controllerAttribute;\n }\n get modules() {\n return Array.from(this.modulesByIdentifier.values());\n }\n get contexts() {\n return this.modules.reduce((contexts, module) => contexts.concat(module.contexts), []);\n }\n start() {\n this.scopeObserver.start();\n }\n stop() {\n this.scopeObserver.stop();\n }\n loadDefinition(definition) {\n this.unloadIdentifier(definition.identifier);\n const module = new Module(this.application, definition);\n this.connectModule(module);\n const afterLoad = definition.controllerConstructor.afterLoad;\n if (afterLoad) {\n afterLoad.call(definition.controllerConstructor, definition.identifier, this.application);\n }\n }\n unloadIdentifier(identifier) {\n const module = this.modulesByIdentifier.get(identifier);\n if (module) {\n this.disconnectModule(module);\n }\n }\n getContextForElementAndIdentifier(element, identifier) {\n const module = this.modulesByIdentifier.get(identifier);\n if (module) {\n return module.contexts.find((context) => context.element == element);\n }\n }\n proposeToConnectScopeForElementAndIdentifier(element, identifier) {\n const scope = this.scopeObserver.parseValueForElementAndIdentifier(element, identifier);\n if (scope) {\n this.scopeObserver.elementMatchedValue(scope.element, scope);\n }\n else {\n console.error(`Couldn't find or create scope for identifier: \"${identifier}\" and element:`, element);\n }\n }\n handleError(error, message, detail) {\n this.application.handleError(error, message, detail);\n }\n createScopeForElementAndIdentifier(element, identifier) {\n return new Scope(this.schema, element, identifier, this.logger);\n }\n scopeConnected(scope) {\n this.scopesByIdentifier.add(scope.identifier, scope);\n const module = this.modulesByIdentifier.get(scope.identifier);\n if (module) {\n module.connectContextForScope(scope);\n }\n }\n scopeDisconnected(scope) {\n this.scopesByIdentifier.delete(scope.identifier, scope);\n const module = this.modulesByIdentifier.get(scope.identifier);\n if (module) {\n module.disconnectContextForScope(scope);\n }\n }\n connectModule(module) {\n this.modulesByIdentifier.set(module.identifier, module);\n const scopes = this.scopesByIdentifier.getValuesForKey(module.identifier);\n scopes.forEach((scope) => module.connectContextForScope(scope));\n }\n disconnectModule(module) {\n this.modulesByIdentifier.delete(module.identifier);\n const scopes = this.scopesByIdentifier.getValuesForKey(module.identifier);\n scopes.forEach((scope) => module.disconnectContextForScope(scope));\n }\n}\n\nconst defaultSchema = {\n controllerAttribute: \"data-controller\",\n actionAttribute: \"data-action\",\n targetAttribute: \"data-target\",\n targetAttributeForScope: (identifier) => `data-${identifier}-target`,\n outletAttributeForScope: (identifier, outlet) => `data-${identifier}-${outlet}-outlet`,\n keyMappings: Object.assign(Object.assign({ enter: \"Enter\", tab: \"Tab\", esc: \"Escape\", space: \" \", up: \"ArrowUp\", down: \"ArrowDown\", left: \"ArrowLeft\", right: \"ArrowRight\", home: \"Home\", end: \"End\", page_up: \"PageUp\", page_down: \"PageDown\" }, objectFromEntries(\"abcdefghijklmnopqrstuvwxyz\".split(\"\").map((c) => [c, c]))), objectFromEntries(\"0123456789\".split(\"\").map((n) => [n, n]))),\n};\nfunction objectFromEntries(array) {\n return array.reduce((memo, [k, v]) => (Object.assign(Object.assign({}, memo), { [k]: v })), {});\n}\n\nclass Application {\n constructor(element = document.documentElement, schema = defaultSchema) {\n this.logger = console;\n this.debug = false;\n this.logDebugActivity = (identifier, functionName, detail = {}) => {\n if (this.debug) {\n this.logFormattedMessage(identifier, functionName, detail);\n }\n };\n this.element = element;\n this.schema = schema;\n this.dispatcher = new Dispatcher(this);\n this.router = new Router(this);\n this.actionDescriptorFilters = Object.assign({}, defaultActionDescriptorFilters);\n }\n static start(element, schema) {\n const application = new this(element, schema);\n application.start();\n return application;\n }\n async start() {\n await domReady();\n this.logDebugActivity(\"application\", \"starting\");\n this.dispatcher.start();\n this.router.start();\n this.logDebugActivity(\"application\", \"start\");\n }\n stop() {\n this.logDebugActivity(\"application\", \"stopping\");\n this.dispatcher.stop();\n this.router.stop();\n this.logDebugActivity(\"application\", \"stop\");\n }\n register(identifier, controllerConstructor) {\n this.load({ identifier, controllerConstructor });\n }\n registerActionOption(name, filter) {\n this.actionDescriptorFilters[name] = filter;\n }\n load(head, ...rest) {\n const definitions = Array.isArray(head) ? head : [head, ...rest];\n definitions.forEach((definition) => {\n if (definition.controllerConstructor.shouldLoad) {\n this.router.loadDefinition(definition);\n }\n });\n }\n unload(head, ...rest) {\n const identifiers = Array.isArray(head) ? head : [head, ...rest];\n identifiers.forEach((identifier) => this.router.unloadIdentifier(identifier));\n }\n get controllers() {\n return this.router.contexts.map((context) => context.controller);\n }\n getControllerForElementAndIdentifier(element, identifier) {\n const context = this.router.getContextForElementAndIdentifier(element, identifier);\n return context ? context.controller : null;\n }\n handleError(error, message, detail) {\n var _a;\n this.logger.error(`%s\\n\\n%o\\n\\n%o`, message, error, detail);\n (_a = window.onerror) === null || _a === void 0 ? void 0 : _a.call(window, message, \"\", 0, 0, error);\n }\n logFormattedMessage(identifier, functionName, detail = {}) {\n detail = Object.assign({ application: this }, detail);\n this.logger.groupCollapsed(`${identifier} #${functionName}`);\n this.logger.log(\"details:\", Object.assign({}, detail));\n this.logger.groupEnd();\n }\n}\nfunction domReady() {\n return new Promise((resolve) => {\n if (document.readyState == \"loading\") {\n document.addEventListener(\"DOMContentLoaded\", () => resolve());\n }\n else {\n resolve();\n }\n });\n}\n\nfunction ClassPropertiesBlessing(constructor) {\n const classes = readInheritableStaticArrayValues(constructor, \"classes\");\n return classes.reduce((properties, classDefinition) => {\n return Object.assign(properties, propertiesForClassDefinition(classDefinition));\n }, {});\n}\nfunction propertiesForClassDefinition(key) {\n return {\n [`${key}Class`]: {\n get() {\n const { classes } = this;\n if (classes.has(key)) {\n return classes.get(key);\n }\n else {\n const attribute = classes.getAttributeName(key);\n throw new Error(`Missing attribute \"${attribute}\"`);\n }\n },\n },\n [`${key}Classes`]: {\n get() {\n return this.classes.getAll(key);\n },\n },\n [`has${capitalize(key)}Class`]: {\n get() {\n return this.classes.has(key);\n },\n },\n };\n}\n\nfunction OutletPropertiesBlessing(constructor) {\n const outlets = readInheritableStaticArrayValues(constructor, \"outlets\");\n return outlets.reduce((properties, outletDefinition) => {\n return Object.assign(properties, propertiesForOutletDefinition(outletDefinition));\n }, {});\n}\nfunction getOutletController(controller, element, identifier) {\n return controller.application.getControllerForElementAndIdentifier(element, identifier);\n}\nfunction getControllerAndEnsureConnectedScope(controller, element, outletName) {\n let outletController = getOutletController(controller, element, outletName);\n if (outletController)\n return outletController;\n controller.application.router.proposeToConnectScopeForElementAndIdentifier(element, outletName);\n outletController = getOutletController(controller, element, outletName);\n if (outletController)\n return outletController;\n}\nfunction propertiesForOutletDefinition(name) {\n const camelizedName = namespaceCamelize(name);\n return {\n [`${camelizedName}Outlet`]: {\n get() {\n const outletElement = this.outlets.find(name);\n const selector = this.outlets.getSelectorForOutletName(name);\n if (outletElement) {\n const outletController = getControllerAndEnsureConnectedScope(this, outletElement, name);\n if (outletController)\n return outletController;\n throw new Error(`The provided outlet element is missing an outlet controller \"${name}\" instance for host controller \"${this.identifier}\"`);\n }\n throw new Error(`Missing outlet element \"${name}\" for host controller \"${this.identifier}\". Stimulus couldn't find a matching outlet element using selector \"${selector}\".`);\n },\n },\n [`${camelizedName}Outlets`]: {\n get() {\n const outlets = this.outlets.findAll(name);\n if (outlets.length > 0) {\n return outlets\n .map((outletElement) => {\n const outletController = getControllerAndEnsureConnectedScope(this, outletElement, name);\n if (outletController)\n return outletController;\n console.warn(`The provided outlet element is missing an outlet controller \"${name}\" instance for host controller \"${this.identifier}\"`, outletElement);\n })\n .filter((controller) => controller);\n }\n return [];\n },\n },\n [`${camelizedName}OutletElement`]: {\n get() {\n const outletElement = this.outlets.find(name);\n const selector = this.outlets.getSelectorForOutletName(name);\n if (outletElement) {\n return outletElement;\n }\n else {\n throw new Error(`Missing outlet element \"${name}\" for host controller \"${this.identifier}\". Stimulus couldn't find a matching outlet element using selector \"${selector}\".`);\n }\n },\n },\n [`${camelizedName}OutletElements`]: {\n get() {\n return this.outlets.findAll(name);\n },\n },\n [`has${capitalize(camelizedName)}Outlet`]: {\n get() {\n return this.outlets.has(name);\n },\n },\n };\n}\n\nfunction TargetPropertiesBlessing(constructor) {\n const targets = readInheritableStaticArrayValues(constructor, \"targets\");\n return targets.reduce((properties, targetDefinition) => {\n return Object.assign(properties, propertiesForTargetDefinition(targetDefinition));\n }, {});\n}\nfunction propertiesForTargetDefinition(name) {\n return {\n [`${name}Target`]: {\n get() {\n const target = this.targets.find(name);\n if (target) {\n return target;\n }\n else {\n throw new Error(`Missing target element \"${name}\" for \"${this.identifier}\" controller`);\n }\n },\n },\n [`${name}Targets`]: {\n get() {\n return this.targets.findAll(name);\n },\n },\n [`has${capitalize(name)}Target`]: {\n get() {\n return this.targets.has(name);\n },\n },\n };\n}\n\nfunction ValuePropertiesBlessing(constructor) {\n const valueDefinitionPairs = readInheritableStaticObjectPairs(constructor, \"values\");\n const propertyDescriptorMap = {\n valueDescriptorMap: {\n get() {\n return valueDefinitionPairs.reduce((result, valueDefinitionPair) => {\n const valueDescriptor = parseValueDefinitionPair(valueDefinitionPair, this.identifier);\n const attributeName = this.data.getAttributeNameForKey(valueDescriptor.key);\n return Object.assign(result, { [attributeName]: valueDescriptor });\n }, {});\n },\n },\n };\n return valueDefinitionPairs.reduce((properties, valueDefinitionPair) => {\n return Object.assign(properties, propertiesForValueDefinitionPair(valueDefinitionPair));\n }, propertyDescriptorMap);\n}\nfunction propertiesForValueDefinitionPair(valueDefinitionPair, controller) {\n const definition = parseValueDefinitionPair(valueDefinitionPair, controller);\n const { key, name, reader: read, writer: write } = definition;\n return {\n [name]: {\n get() {\n const value = this.data.get(key);\n if (value !== null) {\n return read(value);\n }\n else {\n return definition.defaultValue;\n }\n },\n set(value) {\n if (value === undefined) {\n this.data.delete(key);\n }\n else {\n this.data.set(key, write(value));\n }\n },\n },\n [`has${capitalize(name)}`]: {\n get() {\n return this.data.has(key) || definition.hasCustomDefaultValue;\n },\n },\n };\n}\nfunction parseValueDefinitionPair([token, typeDefinition], controller) {\n return valueDescriptorForTokenAndTypeDefinition({\n controller,\n token,\n typeDefinition,\n });\n}\nfunction parseValueTypeConstant(constant) {\n switch (constant) {\n case Array:\n return \"array\";\n case Boolean:\n return \"boolean\";\n case Number:\n return \"number\";\n case Object:\n return \"object\";\n case String:\n return \"string\";\n }\n}\nfunction parseValueTypeDefault(defaultValue) {\n switch (typeof defaultValue) {\n case \"boolean\":\n return \"boolean\";\n case \"number\":\n return \"number\";\n case \"string\":\n return \"string\";\n }\n if (Array.isArray(defaultValue))\n return \"array\";\n if (Object.prototype.toString.call(defaultValue) === \"[object Object]\")\n return \"object\";\n}\nfunction parseValueTypeObject(payload) {\n const { controller, token, typeObject } = payload;\n const hasType = isSomething(typeObject.type);\n const hasDefault = isSomething(typeObject.default);\n const fullObject = hasType && hasDefault;\n const onlyType = hasType && !hasDefault;\n const onlyDefault = !hasType && hasDefault;\n const typeFromObject = parseValueTypeConstant(typeObject.type);\n const typeFromDefaultValue = parseValueTypeDefault(payload.typeObject.default);\n if (onlyType)\n return typeFromObject;\n if (onlyDefault)\n return typeFromDefaultValue;\n if (typeFromObject !== typeFromDefaultValue) {\n const propertyPath = controller ? `${controller}.${token}` : token;\n throw new Error(`The specified default value for the Stimulus Value \"${propertyPath}\" must match the defined type \"${typeFromObject}\". The provided default value of \"${typeObject.default}\" is of type \"${typeFromDefaultValue}\".`);\n }\n if (fullObject)\n return typeFromObject;\n}\nfunction parseValueTypeDefinition(payload) {\n const { controller, token, typeDefinition } = payload;\n const typeObject = { controller, token, typeObject: typeDefinition };\n const typeFromObject = parseValueTypeObject(typeObject);\n const typeFromDefaultValue = parseValueTypeDefault(typeDefinition);\n const typeFromConstant = parseValueTypeConstant(typeDefinition);\n const type = typeFromObject || typeFromDefaultValue || typeFromConstant;\n if (type)\n return type;\n const propertyPath = controller ? `${controller}.${typeDefinition}` : token;\n throw new Error(`Unknown value type \"${propertyPath}\" for \"${token}\" value`);\n}\nfunction defaultValueForDefinition(typeDefinition) {\n const constant = parseValueTypeConstant(typeDefinition);\n if (constant)\n return defaultValuesByType[constant];\n const hasDefault = hasProperty(typeDefinition, \"default\");\n const hasType = hasProperty(typeDefinition, \"type\");\n const typeObject = typeDefinition;\n if (hasDefault)\n return typeObject.default;\n if (hasType) {\n const { type } = typeObject;\n const constantFromType = parseValueTypeConstant(type);\n if (constantFromType)\n return defaultValuesByType[constantFromType];\n }\n return typeDefinition;\n}\nfunction valueDescriptorForTokenAndTypeDefinition(payload) {\n const { token, typeDefinition } = payload;\n const key = `${dasherize(token)}-value`;\n const type = parseValueTypeDefinition(payload);\n return {\n type,\n key,\n name: camelize(key),\n get defaultValue() {\n return defaultValueForDefinition(typeDefinition);\n },\n get hasCustomDefaultValue() {\n return parseValueTypeDefault(typeDefinition) !== undefined;\n },\n reader: readers[type],\n writer: writers[type] || writers.default,\n };\n}\nconst defaultValuesByType = {\n get array() {\n return [];\n },\n boolean: false,\n number: 0,\n get object() {\n return {};\n },\n string: \"\",\n};\nconst readers = {\n array(value) {\n const array = JSON.parse(value);\n if (!Array.isArray(array)) {\n throw new TypeError(`expected value of type \"array\" but instead got value \"${value}\" of type \"${parseValueTypeDefault(array)}\"`);\n }\n return array;\n },\n boolean(value) {\n return !(value == \"0\" || String(value).toLowerCase() == \"false\");\n },\n number(value) {\n return Number(value.replace(/_/g, \"\"));\n },\n object(value) {\n const object = JSON.parse(value);\n if (object === null || typeof object != \"object\" || Array.isArray(object)) {\n throw new TypeError(`expected value of type \"object\" but instead got value \"${value}\" of type \"${parseValueTypeDefault(object)}\"`);\n }\n return object;\n },\n string(value) {\n return value;\n },\n};\nconst writers = {\n default: writeString,\n array: writeJSON,\n object: writeJSON,\n};\nfunction writeJSON(value) {\n return JSON.stringify(value);\n}\nfunction writeString(value) {\n return `${value}`;\n}\n\nclass Controller {\n constructor(context) {\n this.context = context;\n }\n static get shouldLoad() {\n return true;\n }\n static afterLoad(_identifier, _application) {\n return;\n }\n get application() {\n return this.context.application;\n }\n get scope() {\n return this.context.scope;\n }\n get element() {\n return this.scope.element;\n }\n get identifier() {\n return this.scope.identifier;\n }\n get targets() {\n return this.scope.targets;\n }\n get outlets() {\n return this.scope.outlets;\n }\n get classes() {\n return this.scope.classes;\n }\n get data() {\n return this.scope.data;\n }\n initialize() {\n }\n connect() {\n }\n disconnect() {\n }\n dispatch(eventName, { target = this.element, detail = {}, prefix = this.identifier, bubbles = true, cancelable = true, } = {}) {\n const type = prefix ? `${prefix}:${eventName}` : eventName;\n const event = new CustomEvent(type, { detail, bubbles, cancelable });\n target.dispatchEvent(event);\n return event;\n }\n}\nController.blessings = [\n ClassPropertiesBlessing,\n TargetPropertiesBlessing,\n ValuePropertiesBlessing,\n OutletPropertiesBlessing,\n];\nController.targets = [];\nController.outlets = [];\nController.values = {};\n\nexport { Application, AttributeObserver, Context, Controller, ElementObserver, IndexedMultimap, Multimap, SelectorObserver, StringMapObserver, TokenListObserver, ValueListObserver, add, defaultSchema, del, fetch, prune };\n", "import { Application } from \"@hotwired/stimulus\"\n\nconst application = Application.start()\n\n// Configure Stimulus development experience\napplication.debug = false\nwindow.Stimulus = application\n\nexport { application }\n", "var e=new Map;function t(t){var o=e.get(t);o&&o.destroy()}function o(t){var o=e.get(t);o&&o.update()}var r=null;\"undefined\"==typeof window?((r=function(e){return e}).destroy=function(e){return e},r.update=function(e){return e}):((r=function(t,o){return t&&Array.prototype.forEach.call(t.length?t:[t],function(t){return function(t){if(t&&t.nodeName&&\"TEXTAREA\"===t.nodeName&&!e.has(t)){var o,r=null,n=window.getComputedStyle(t),i=(o=t.value,function(){a({testForHeightReduction:\"\"===o||!t.value.startsWith(o),restoreTextAlign:null}),o=t.value}),l=function(o){t.removeEventListener(\"autosize:destroy\",l),t.removeEventListener(\"autosize:update\",s),t.removeEventListener(\"input\",i),window.removeEventListener(\"resize\",s),Object.keys(o).forEach(function(e){return t.style[e]=o[e]}),e.delete(t)}.bind(t,{height:t.style.height,resize:t.style.resize,textAlign:t.style.textAlign,overflowY:t.style.overflowY,overflowX:t.style.overflowX,wordWrap:t.style.wordWrap});t.addEventListener(\"autosize:destroy\",l),t.addEventListener(\"autosize:update\",s),t.addEventListener(\"input\",i),window.addEventListener(\"resize\",s),t.style.overflowX=\"hidden\",t.style.wordWrap=\"break-word\",e.set(t,{destroy:l,update:s}),s()}function a(e){var o,i,l=e.restoreTextAlign,s=void 0===l?null:l,d=e.testForHeightReduction,u=void 0===d||d,c=n.overflowY;if(0!==t.scrollHeight&&(\"vertical\"===n.resize?t.style.resize=\"none\":\"both\"===n.resize&&(t.style.resize=\"horizontal\"),u&&(o=function(e){for(var t=[];e&&e.parentNode&&e.parentNode instanceof Element;)e.parentNode.scrollTop&&t.push([e.parentNode,e.parentNode.scrollTop]),e=e.parentNode;return function(){return t.forEach(function(e){var t=e[0],o=e[1];t.style.scrollBehavior=\"auto\",t.scrollTop=o,t.style.scrollBehavior=null})}}(t),t.style.height=\"\"),i=\"content-box\"===n.boxSizing?t.scrollHeight-(parseFloat(n.paddingTop)+parseFloat(n.paddingBottom)):t.scrollHeight+parseFloat(n.borderTopWidth)+parseFloat(n.borderBottomWidth),\"none\"!==n.maxHeight&&i>parseFloat(n.maxHeight)?(\"hidden\"===n.overflowY&&(t.style.overflow=\"scroll\"),i=parseFloat(n.maxHeight)):\"hidden\"!==n.overflowY&&(t.style.overflow=\"hidden\"),t.style.height=i+\"px\",s&&(t.style.textAlign=s),o&&o(),r!==i&&(t.dispatchEvent(new Event(\"autosize:resized\",{bubbles:!0})),r=i),c!==n.overflow&&!s)){var v=n.textAlign;\"hidden\"===n.overflow&&(t.style.textAlign=\"start\"===v?\"end\":\"start\"),a({restoreTextAlign:v,testForHeightReduction:!0})}}function s(){a({testForHeightReduction:!0,restoreTextAlign:null})}}(t)}),t}).destroy=function(e){return e&&Array.prototype.forEach.call(e.length?e:[e],t),e},r.update=function(e){return e&&Array.prototype.forEach.call(e.length?e:[e],o),e});var n=r;export default n;\n", "import { Controller } from \"@hotwired/stimulus\"\nimport autosize from \"autosize\"\n\nexport default class extends Controller {\n static targets = []\n\n connect() {\n autosize(this.element)\n }\n}\n", "import { Controller } from '@hotwired/stimulus'\n\nexport default class extends Controller {\n static targets = ['button', 'source']\n static values = {\n successContent: {\n type: String,\n default: 'Copied!'\n },\n successDuration: {\n type: Number,\n default: 2000\n }\n }\n\n connect() {\n if (!this.hasButtonTarget) return\n\n this.originalContent = this.buttonTarget.innerHTML\n }\n\n copy(event) {\n event.preventDefault()\n\n const text = this.sourceTarget.innerHTML || this.sourceTarget.value\n\n navigator.clipboard.writeText(text).then(() => this.copied())\n }\n\n copied() {\n if (!this.hasButtonTarget) return\n\n if (this.timeout) {\n clearTimeout(this.timeout)\n }\n\n console.log(this.successContentValue)\n this.buttonTarget.innerHTML = this.successContentValue\n\n this.timeout = setTimeout(() => {\n this.buttonTarget.innerHTML = this.originalContent\n }, this.successDurationValue)\n }\n}\n", "/* (ignored) */", "/* (ignored) */", "/* (ignored) */", "/* (ignored) */", "/* (ignored) */", "/* (ignored) */", "/* (ignored) */", "// src/lexer.ts\nvar TOKEN_TYPES = Object.freeze({\n Text: \"Text\",\n // The text between Jinja statements or expressions\n NumericLiteral: \"NumericLiteral\",\n // e.g., 123\n BooleanLiteral: \"BooleanLiteral\",\n // true or false\n NullLiteral: \"NullLiteral\",\n // none\n StringLiteral: \"StringLiteral\",\n // 'string'\n Identifier: \"Identifier\",\n // Variables, functions, etc.\n Equals: \"Equals\",\n // =\n OpenParen: \"OpenParen\",\n // (\n CloseParen: \"CloseParen\",\n // )\n OpenStatement: \"OpenStatement\",\n // {%\n CloseStatement: \"CloseStatement\",\n // %}\n OpenExpression: \"OpenExpression\",\n // {{\n CloseExpression: \"CloseExpression\",\n // }}\n OpenSquareBracket: \"OpenSquareBracket\",\n // [\n CloseSquareBracket: \"CloseSquareBracket\",\n // ]\n OpenCurlyBracket: \"OpenCurlyBracket\",\n // {\n CloseCurlyBracket: \"CloseCurlyBracket\",\n // }\n Comma: \"Comma\",\n // ,\n Dot: \"Dot\",\n // .\n Colon: \"Colon\",\n // :\n Pipe: \"Pipe\",\n // |\n CallOperator: \"CallOperator\",\n // ()\n AdditiveBinaryOperator: \"AdditiveBinaryOperator\",\n // + -\n MultiplicativeBinaryOperator: \"MultiplicativeBinaryOperator\",\n // * / %\n ComparisonBinaryOperator: \"ComparisonBinaryOperator\",\n // < > <= >= == !=\n UnaryOperator: \"UnaryOperator\",\n // ! - +\n // Keywords\n Set: \"Set\",\n If: \"If\",\n For: \"For\",\n In: \"In\",\n Is: \"Is\",\n NotIn: \"NotIn\",\n Else: \"Else\",\n EndIf: \"EndIf\",\n ElseIf: \"ElseIf\",\n EndFor: \"EndFor\",\n And: \"And\",\n Or: \"Or\",\n Not: \"UnaryOperator\",\n Macro: \"Macro\",\n EndMacro: \"EndMacro\"\n});\nvar KEYWORDS = Object.freeze({\n set: TOKEN_TYPES.Set,\n for: TOKEN_TYPES.For,\n in: TOKEN_TYPES.In,\n is: TOKEN_TYPES.Is,\n if: TOKEN_TYPES.If,\n else: TOKEN_TYPES.Else,\n endif: TOKEN_TYPES.EndIf,\n elif: TOKEN_TYPES.ElseIf,\n endfor: TOKEN_TYPES.EndFor,\n and: TOKEN_TYPES.And,\n or: TOKEN_TYPES.Or,\n not: TOKEN_TYPES.Not,\n \"not in\": TOKEN_TYPES.NotIn,\n macro: TOKEN_TYPES.Macro,\n endmacro: TOKEN_TYPES.EndMacro,\n // Literals\n true: TOKEN_TYPES.BooleanLiteral,\n false: TOKEN_TYPES.BooleanLiteral,\n none: TOKEN_TYPES.NullLiteral,\n // NOTE: According to the Jinja docs: The special constants true, false, and none are indeed lowercase.\n // Because that caused confusion in the past, (True used to expand to an undefined variable that was considered false),\n // all three can now also be written in title case (True, False, and None). However, for consistency, (all Jinja identifiers are lowercase)\n // you should use the lowercase versions.\n True: TOKEN_TYPES.BooleanLiteral,\n False: TOKEN_TYPES.BooleanLiteral,\n None: TOKEN_TYPES.NullLiteral\n});\nvar Token = class {\n /**\n * Constructs a new Token.\n * @param {string} value The raw value as seen inside the source code.\n * @param {TokenType} type The type of token.\n */\n constructor(value, type) {\n this.value = value;\n this.type = type;\n }\n};\nfunction isWord(char) {\n return /\\w/.test(char);\n}\nfunction isInteger(char) {\n return /[0-9]/.test(char);\n}\nvar ORDERED_MAPPING_TABLE = [\n // Control sequences\n [\"{%\", TOKEN_TYPES.OpenStatement],\n [\"%}\", TOKEN_TYPES.CloseStatement],\n [\"{{\", TOKEN_TYPES.OpenExpression],\n [\"}}\", TOKEN_TYPES.CloseExpression],\n // Single character tokens\n [\"(\", TOKEN_TYPES.OpenParen],\n [\")\", TOKEN_TYPES.CloseParen],\n [\"{\", TOKEN_TYPES.OpenCurlyBracket],\n [\"}\", TOKEN_TYPES.CloseCurlyBracket],\n [\"[\", TOKEN_TYPES.OpenSquareBracket],\n [\"]\", TOKEN_TYPES.CloseSquareBracket],\n [\",\", TOKEN_TYPES.Comma],\n [\".\", TOKEN_TYPES.Dot],\n [\":\", TOKEN_TYPES.Colon],\n [\"|\", TOKEN_TYPES.Pipe],\n // Comparison operators\n [\"<=\", TOKEN_TYPES.ComparisonBinaryOperator],\n [\">=\", TOKEN_TYPES.ComparisonBinaryOperator],\n [\"==\", TOKEN_TYPES.ComparisonBinaryOperator],\n [\"!=\", TOKEN_TYPES.ComparisonBinaryOperator],\n [\"<\", TOKEN_TYPES.ComparisonBinaryOperator],\n [\">\", TOKEN_TYPES.ComparisonBinaryOperator],\n // Arithmetic operators\n [\"+\", TOKEN_TYPES.AdditiveBinaryOperator],\n [\"-\", TOKEN_TYPES.AdditiveBinaryOperator],\n [\"*\", TOKEN_TYPES.MultiplicativeBinaryOperator],\n [\"/\", TOKEN_TYPES.MultiplicativeBinaryOperator],\n [\"%\", TOKEN_TYPES.MultiplicativeBinaryOperator],\n // Assignment operator\n [\"=\", TOKEN_TYPES.Equals]\n];\nvar ESCAPE_CHARACTERS = /* @__PURE__ */ new Map([\n [\"n\", \"\\n\"],\n // New line\n [\"t\", \"\t\"],\n // Horizontal tab\n [\"r\", \"\\r\"],\n // Carriage return\n [\"b\", \"\\b\"],\n // Backspace\n [\"f\", \"\\f\"],\n // Form feed\n [\"v\", \"\\v\"],\n // Vertical tab\n [\"'\", \"'\"],\n // Single quote\n ['\"', '\"'],\n // Double quote\n [\"\\\\\", \"\\\\\"]\n // Backslash\n]);\nfunction preprocess(template, options = {}) {\n if (template.endsWith(\"\\n\")) {\n template = template.slice(0, -1);\n }\n template = template.replace(/{#.*?#}/gs, \"{##}\");\n if (options.lstrip_blocks) {\n template = template.replace(/^[ \\t]*({[#%])/gm, \"$1\");\n }\n if (options.trim_blocks) {\n template = template.replace(/([#%]})\\n/g, \"$1\");\n }\n return template.replace(/{##}/g, \"\").replace(/-%}\\s*/g, \"%}\").replace(/\\s*{%-/g, \"{%\").replace(/-}}\\s*/g, \"}}\").replace(/\\s*{{-/g, \"{{\");\n}\nfunction tokenize(source, options = {}) {\n const tokens = [];\n const src = preprocess(source, options);\n let cursorPosition = 0;\n const consumeWhile = (predicate) => {\n let str = \"\";\n while (predicate(src[cursorPosition])) {\n if (src[cursorPosition] === \"\\\\\") {\n ++cursorPosition;\n if (cursorPosition >= src.length)\n throw new SyntaxError(\"Unexpected end of input\");\n const escaped = src[cursorPosition++];\n const unescaped = ESCAPE_CHARACTERS.get(escaped);\n if (unescaped === void 0) {\n throw new SyntaxError(`Unexpected escaped character: ${escaped}`);\n }\n str += unescaped;\n continue;\n }\n str += src[cursorPosition++];\n if (cursorPosition >= src.length)\n throw new SyntaxError(\"Unexpected end of input\");\n }\n return str;\n };\n main:\n while (cursorPosition < src.length) {\n const lastTokenType = tokens.at(-1)?.type;\n if (lastTokenType === void 0 || lastTokenType === TOKEN_TYPES.CloseStatement || lastTokenType === TOKEN_TYPES.CloseExpression) {\n let text = \"\";\n while (cursorPosition < src.length && // Keep going until we hit the next Jinja statement or expression\n !(src[cursorPosition] === \"{\" && (src[cursorPosition + 1] === \"%\" || src[cursorPosition + 1] === \"{\"))) {\n text += src[cursorPosition++];\n }\n if (text.length > 0) {\n tokens.push(new Token(text, TOKEN_TYPES.Text));\n continue;\n }\n }\n consumeWhile((char2) => /\\s/.test(char2));\n const char = src[cursorPosition];\n if (char === \"-\" || char === \"+\") {\n const lastTokenType2 = tokens.at(-1)?.type;\n if (lastTokenType2 === TOKEN_TYPES.Text || lastTokenType2 === void 0) {\n throw new SyntaxError(`Unexpected character: ${char}`);\n }\n switch (lastTokenType2) {\n case TOKEN_TYPES.Identifier:\n case TOKEN_TYPES.NumericLiteral:\n case TOKEN_TYPES.BooleanLiteral:\n case TOKEN_TYPES.NullLiteral:\n case TOKEN_TYPES.StringLiteral:\n case TOKEN_TYPES.CloseParen:\n case TOKEN_TYPES.CloseSquareBracket:\n break;\n default: {\n ++cursorPosition;\n const num = consumeWhile(isInteger);\n tokens.push(\n new Token(`${char}${num}`, num.length > 0 ? TOKEN_TYPES.NumericLiteral : TOKEN_TYPES.UnaryOperator)\n );\n continue;\n }\n }\n }\n for (const [char2, token] of ORDERED_MAPPING_TABLE) {\n const slice2 = src.slice(cursorPosition, cursorPosition + char2.length);\n if (slice2 === char2) {\n tokens.push(new Token(char2, token));\n cursorPosition += char2.length;\n continue main;\n }\n }\n if (char === \"'\" || char === '\"') {\n ++cursorPosition;\n const str = consumeWhile((c) => c !== char);\n tokens.push(new Token(str, TOKEN_TYPES.StringLiteral));\n ++cursorPosition;\n continue;\n }\n if (isInteger(char)) {\n const num = consumeWhile(isInteger);\n tokens.push(new Token(num, TOKEN_TYPES.NumericLiteral));\n continue;\n }\n if (isWord(char)) {\n const word = consumeWhile(isWord);\n const type = Object.hasOwn(KEYWORDS, word) ? KEYWORDS[word] : TOKEN_TYPES.Identifier;\n if (type === TOKEN_TYPES.In && tokens.at(-1)?.type === TOKEN_TYPES.Not) {\n tokens.pop();\n tokens.push(new Token(\"not in\", TOKEN_TYPES.NotIn));\n } else {\n tokens.push(new Token(word, type));\n }\n continue;\n }\n throw new SyntaxError(`Unexpected character: ${char}`);\n }\n return tokens;\n}\n\n// src/ast.ts\nvar Statement = class {\n type = \"Statement\";\n};\nvar Program = class extends Statement {\n constructor(body) {\n super();\n this.body = body;\n }\n type = \"Program\";\n};\nvar If = class extends Statement {\n constructor(test, body, alternate) {\n super();\n this.test = test;\n this.body = body;\n this.alternate = alternate;\n }\n type = \"If\";\n};\nvar For = class extends Statement {\n constructor(loopvar, iterable, body, defaultBlock) {\n super();\n this.loopvar = loopvar;\n this.iterable = iterable;\n this.body = body;\n this.defaultBlock = defaultBlock;\n }\n type = \"For\";\n};\nvar SetStatement = class extends Statement {\n constructor(assignee, value) {\n super();\n this.assignee = assignee;\n this.value = value;\n }\n type = \"Set\";\n};\nvar Macro = class extends Statement {\n constructor(name, args, body) {\n super();\n this.name = name;\n this.args = args;\n this.body = body;\n }\n type = \"Macro\";\n};\nvar Expression = class extends Statement {\n type = \"Expression\";\n};\nvar MemberExpression = class extends Expression {\n constructor(object, property, computed) {\n super();\n this.object = object;\n this.property = property;\n this.computed = computed;\n }\n type = \"MemberExpression\";\n};\nvar CallExpression = class extends Expression {\n constructor(callee, args) {\n super();\n this.callee = callee;\n this.args = args;\n }\n type = \"CallExpression\";\n};\nvar Identifier = class extends Expression {\n /**\n * @param {string} value The name of the identifier\n */\n constructor(value) {\n super();\n this.value = value;\n }\n type = \"Identifier\";\n};\nvar Literal = class extends Expression {\n constructor(value) {\n super();\n this.value = value;\n }\n type = \"Literal\";\n};\nvar NumericLiteral = class extends Literal {\n type = \"NumericLiteral\";\n};\nvar StringLiteral = class extends Literal {\n type = \"StringLiteral\";\n};\nvar BooleanLiteral = class extends Literal {\n type = \"BooleanLiteral\";\n};\nvar NullLiteral = class extends Literal {\n type = \"NullLiteral\";\n};\nvar ArrayLiteral = class extends Literal {\n type = \"ArrayLiteral\";\n};\nvar TupleLiteral = class extends Literal {\n type = \"TupleLiteral\";\n};\nvar ObjectLiteral = class extends Literal {\n type = \"ObjectLiteral\";\n};\nvar BinaryExpression = class extends Expression {\n constructor(operator, left, right) {\n super();\n this.operator = operator;\n this.left = left;\n this.right = right;\n }\n type = \"BinaryExpression\";\n};\nvar FilterExpression = class extends Expression {\n constructor(operand, filter) {\n super();\n this.operand = operand;\n this.filter = filter;\n }\n type = \"FilterExpression\";\n};\nvar SelectExpression = class extends Expression {\n constructor(iterable, test) {\n super();\n this.iterable = iterable;\n this.test = test;\n }\n type = \"SelectExpression\";\n};\nvar TestExpression = class extends Expression {\n constructor(operand, negate, test) {\n super();\n this.operand = operand;\n this.negate = negate;\n this.test = test;\n }\n type = \"TestExpression\";\n};\nvar UnaryExpression = class extends Expression {\n constructor(operator, argument) {\n super();\n this.operator = operator;\n this.argument = argument;\n }\n type = \"UnaryExpression\";\n};\nvar SliceExpression = class extends Expression {\n constructor(start = void 0, stop = void 0, step = void 0) {\n super();\n this.start = start;\n this.stop = stop;\n this.step = step;\n }\n type = \"SliceExpression\";\n};\nvar KeywordArgumentExpression = class extends Expression {\n constructor(key, value) {\n super();\n this.key = key;\n this.value = value;\n }\n type = \"KeywordArgumentExpression\";\n};\n\n// src/parser.ts\nfunction parse(tokens) {\n const program = new Program([]);\n let current = 0;\n function expect(type, error) {\n const prev = tokens[current++];\n if (!prev || prev.type !== type) {\n throw new Error(`Parser Error: ${error}. ${prev.type} !== ${type}.`);\n }\n return prev;\n }\n function parseAny() {\n switch (tokens[current].type) {\n case TOKEN_TYPES.Text:\n return parseText();\n case TOKEN_TYPES.OpenStatement:\n return parseJinjaStatement();\n case TOKEN_TYPES.OpenExpression:\n return parseJinjaExpression();\n default:\n throw new SyntaxError(`Unexpected token type: ${tokens[current].type}`);\n }\n }\n function not(...types) {\n return current + types.length <= tokens.length && types.some((type, i) => type !== tokens[current + i].type);\n }\n function is(...types) {\n return current + types.length <= tokens.length && types.every((type, i) => type === tokens[current + i].type);\n }\n function parseText() {\n return new StringLiteral(expect(TOKEN_TYPES.Text, \"Expected text token\").value);\n }\n function parseJinjaStatement() {\n expect(TOKEN_TYPES.OpenStatement, \"Expected opening statement token\");\n let result;\n switch (tokens[current].type) {\n case TOKEN_TYPES.Set:\n ++current;\n result = parseSetStatement();\n expect(TOKEN_TYPES.CloseStatement, \"Expected closing statement token\");\n break;\n case TOKEN_TYPES.If:\n ++current;\n result = parseIfStatement();\n expect(TOKEN_TYPES.OpenStatement, \"Expected {% token\");\n expect(TOKEN_TYPES.EndIf, \"Expected endif token\");\n expect(TOKEN_TYPES.CloseStatement, \"Expected %} token\");\n break;\n case TOKEN_TYPES.Macro:\n ++current;\n result = parseMacroStatement();\n expect(TOKEN_TYPES.OpenStatement, \"Expected {% token\");\n expect(TOKEN_TYPES.EndMacro, \"Expected endmacro token\");\n expect(TOKEN_TYPES.CloseStatement, \"Expected %} token\");\n break;\n case TOKEN_TYPES.For:\n ++current;\n result = parseForStatement();\n expect(TOKEN_TYPES.OpenStatement, \"Expected {% token\");\n expect(TOKEN_TYPES.EndFor, \"Expected endfor token\");\n expect(TOKEN_TYPES.CloseStatement, \"Expected %} token\");\n break;\n default:\n throw new SyntaxError(`Unknown statement type: ${tokens[current].type}`);\n }\n return result;\n }\n function parseJinjaExpression() {\n expect(TOKEN_TYPES.OpenExpression, \"Expected opening expression token\");\n const result = parseExpression();\n expect(TOKEN_TYPES.CloseExpression, \"Expected closing expression token\");\n return result;\n }\n function parseSetStatement() {\n const left = parseExpression();\n if (is(TOKEN_TYPES.Equals)) {\n ++current;\n const value = parseSetStatement();\n return new SetStatement(left, value);\n }\n return left;\n }\n function parseIfStatement() {\n const test = parseExpression();\n expect(TOKEN_TYPES.CloseStatement, \"Expected closing statement token\");\n const body = [];\n const alternate = [];\n while (!(tokens[current]?.type === TOKEN_TYPES.OpenStatement && (tokens[current + 1]?.type === TOKEN_TYPES.ElseIf || tokens[current + 1]?.type === TOKEN_TYPES.Else || tokens[current + 1]?.type === TOKEN_TYPES.EndIf))) {\n body.push(parseAny());\n }\n if (tokens[current]?.type === TOKEN_TYPES.OpenStatement && tokens[current + 1]?.type !== TOKEN_TYPES.EndIf) {\n ++current;\n if (is(TOKEN_TYPES.ElseIf)) {\n expect(TOKEN_TYPES.ElseIf, \"Expected elseif token\");\n alternate.push(parseIfStatement());\n } else {\n expect(TOKEN_TYPES.Else, \"Expected else token\");\n expect(TOKEN_TYPES.CloseStatement, \"Expected closing statement token\");\n while (!(tokens[current]?.type === TOKEN_TYPES.OpenStatement && tokens[current + 1]?.type === TOKEN_TYPES.EndIf)) {\n alternate.push(parseAny());\n }\n }\n }\n return new If(test, body, alternate);\n }\n function parseMacroStatement() {\n const name = parsePrimaryExpression();\n if (name.type !== \"Identifier\") {\n throw new SyntaxError(`Expected identifier following macro statement`);\n }\n const args = parseArgs();\n expect(TOKEN_TYPES.CloseStatement, \"Expected closing statement token\");\n const body = [];\n while (not(TOKEN_TYPES.OpenStatement, TOKEN_TYPES.EndMacro)) {\n body.push(parseAny());\n }\n return new Macro(name, args, body);\n }\n function parseExpressionSequence(primary = false) {\n const fn = primary ? parsePrimaryExpression : parseExpression;\n const expressions = [fn()];\n const isTuple = is(TOKEN_TYPES.Comma);\n while (isTuple) {\n ++current;\n expressions.push(fn());\n if (!is(TOKEN_TYPES.Comma)) {\n break;\n }\n }\n return isTuple ? new TupleLiteral(expressions) : expressions[0];\n }\n function parseForStatement() {\n const loopVariable = parseExpressionSequence(true);\n if (!(loopVariable instanceof Identifier || loopVariable instanceof TupleLiteral)) {\n throw new SyntaxError(`Expected identifier/tuple for the loop variable, got ${loopVariable.type} instead`);\n }\n expect(TOKEN_TYPES.In, \"Expected `in` keyword following loop variable\");\n const iterable = parseExpression();\n expect(TOKEN_TYPES.CloseStatement, \"Expected closing statement token\");\n const body = [];\n while (not(TOKEN_TYPES.OpenStatement, TOKEN_TYPES.EndFor) && not(TOKEN_TYPES.OpenStatement, TOKEN_TYPES.Else)) {\n body.push(parseAny());\n }\n const alternative = [];\n if (is(TOKEN_TYPES.OpenStatement, TOKEN_TYPES.Else)) {\n ++current;\n ++current;\n expect(TOKEN_TYPES.CloseStatement, \"Expected closing statement token\");\n while (not(TOKEN_TYPES.OpenStatement, TOKEN_TYPES.EndFor)) {\n alternative.push(parseAny());\n }\n }\n return new For(loopVariable, iterable, body, alternative);\n }\n function parseExpression() {\n return parseIfExpression();\n }\n function parseIfExpression() {\n const a = parseLogicalOrExpression();\n if (is(TOKEN_TYPES.If)) {\n ++current;\n const predicate = parseLogicalOrExpression();\n if (is(TOKEN_TYPES.Else)) {\n ++current;\n const b = parseLogicalOrExpression();\n return new If(predicate, [a], [b]);\n } else {\n return new SelectExpression(a, predicate);\n }\n }\n return a;\n }\n function parseLogicalOrExpression() {\n let left = parseLogicalAndExpression();\n while (is(TOKEN_TYPES.Or)) {\n const operator = tokens[current];\n ++current;\n const right = parseLogicalAndExpression();\n left = new BinaryExpression(operator, left, right);\n }\n return left;\n }\n function parseLogicalAndExpression() {\n let left = parseLogicalNegationExpression();\n while (is(TOKEN_TYPES.And)) {\n const operator = tokens[current];\n ++current;\n const right = parseLogicalNegationExpression();\n left = new BinaryExpression(operator, left, right);\n }\n return left;\n }\n function parseLogicalNegationExpression() {\n let right;\n while (is(TOKEN_TYPES.Not)) {\n const operator = tokens[current];\n ++current;\n const arg = parseLogicalNegationExpression();\n right = new UnaryExpression(operator, arg);\n }\n return right ?? parseComparisonExpression();\n }\n function parseComparisonExpression() {\n let left = parseAdditiveExpression();\n while (is(TOKEN_TYPES.ComparisonBinaryOperator) || is(TOKEN_TYPES.In) || is(TOKEN_TYPES.NotIn)) {\n const operator = tokens[current];\n ++current;\n const right = parseAdditiveExpression();\n left = new BinaryExpression(operator, left, right);\n }\n return left;\n }\n function parseAdditiveExpression() {\n let left = parseMultiplicativeExpression();\n while (is(TOKEN_TYPES.AdditiveBinaryOperator)) {\n const operator = tokens[current];\n ++current;\n const right = parseMultiplicativeExpression();\n left = new BinaryExpression(operator, left, right);\n }\n return left;\n }\n function parseCallMemberExpression() {\n const member = parseMemberExpression(parsePrimaryExpression());\n if (is(TOKEN_TYPES.OpenParen)) {\n return parseCallExpression(member);\n }\n return member;\n }\n function parseCallExpression(callee) {\n let expression = new CallExpression(callee, parseArgs());\n expression = parseMemberExpression(expression);\n if (is(TOKEN_TYPES.OpenParen)) {\n expression = parseCallExpression(expression);\n }\n return expression;\n }\n function parseArgs() {\n expect(TOKEN_TYPES.OpenParen, \"Expected opening parenthesis for arguments list\");\n const args = parseArgumentsList();\n expect(TOKEN_TYPES.CloseParen, \"Expected closing parenthesis for arguments list\");\n return args;\n }\n function parseArgumentsList() {\n const args = [];\n while (!is(TOKEN_TYPES.CloseParen)) {\n let argument = parseExpression();\n if (is(TOKEN_TYPES.Equals)) {\n ++current;\n if (!(argument instanceof Identifier)) {\n throw new SyntaxError(`Expected identifier for keyword argument`);\n }\n const value = parseExpression();\n argument = new KeywordArgumentExpression(argument, value);\n }\n args.push(argument);\n if (is(TOKEN_TYPES.Comma)) {\n ++current;\n }\n }\n return args;\n }\n function parseMemberExpressionArgumentsList() {\n const slices = [];\n let isSlice = false;\n while (!is(TOKEN_TYPES.CloseSquareBracket)) {\n if (is(TOKEN_TYPES.Colon)) {\n slices.push(void 0);\n ++current;\n isSlice = true;\n } else {\n slices.push(parseExpression());\n if (is(TOKEN_TYPES.Colon)) {\n ++current;\n isSlice = true;\n }\n }\n }\n if (slices.length === 0) {\n throw new SyntaxError(`Expected at least one argument for member/slice expression`);\n }\n if (isSlice) {\n if (slices.length > 3) {\n throw new SyntaxError(`Expected 0-3 arguments for slice expression`);\n }\n return new SliceExpression(...slices);\n }\n return slices[0];\n }\n function parseMemberExpression(object) {\n while (is(TOKEN_TYPES.Dot) || is(TOKEN_TYPES.OpenSquareBracket)) {\n const operator = tokens[current];\n ++current;\n let property;\n const computed = operator.type !== TOKEN_TYPES.Dot;\n if (computed) {\n property = parseMemberExpressionArgumentsList();\n expect(TOKEN_TYPES.CloseSquareBracket, \"Expected closing square bracket\");\n } else {\n property = parsePrimaryExpression();\n if (property.type !== \"Identifier\") {\n throw new SyntaxError(`Expected identifier following dot operator`);\n }\n }\n object = new MemberExpression(object, property, computed);\n }\n return object;\n }\n function parseMultiplicativeExpression() {\n let left = parseTestExpression();\n while (is(TOKEN_TYPES.MultiplicativeBinaryOperator)) {\n const operator = tokens[current];\n ++current;\n const right = parseTestExpression();\n left = new BinaryExpression(operator, left, right);\n }\n return left;\n }\n function parseTestExpression() {\n let operand = parseFilterExpression();\n while (is(TOKEN_TYPES.Is)) {\n ++current;\n const negate = is(TOKEN_TYPES.Not);\n if (negate) {\n ++current;\n }\n let filter = parsePrimaryExpression();\n if (filter instanceof BooleanLiteral) {\n filter = new Identifier(filter.value.toString());\n } else if (filter instanceof NullLiteral) {\n filter = new Identifier(\"none\");\n }\n if (!(filter instanceof Identifier)) {\n throw new SyntaxError(`Expected identifier for the test`);\n }\n operand = new TestExpression(operand, negate, filter);\n }\n return operand;\n }\n function parseFilterExpression() {\n let operand = parseCallMemberExpression();\n while (is(TOKEN_TYPES.Pipe)) {\n ++current;\n let filter = parsePrimaryExpression();\n if (!(filter instanceof Identifier)) {\n throw new SyntaxError(`Expected identifier for the filter`);\n }\n if (is(TOKEN_TYPES.OpenParen)) {\n filter = parseCallExpression(filter);\n }\n operand = new FilterExpression(operand, filter);\n }\n return operand;\n }\n function parsePrimaryExpression() {\n const token = tokens[current];\n switch (token.type) {\n case TOKEN_TYPES.NumericLiteral:\n ++current;\n return new NumericLiteral(Number(token.value));\n case TOKEN_TYPES.StringLiteral:\n ++current;\n return new StringLiteral(token.value);\n case TOKEN_TYPES.BooleanLiteral:\n ++current;\n return new BooleanLiteral(token.value.toLowerCase() === \"true\");\n case TOKEN_TYPES.NullLiteral:\n ++current;\n return new NullLiteral(null);\n case TOKEN_TYPES.Identifier:\n ++current;\n return new Identifier(token.value);\n case TOKEN_TYPES.OpenParen: {\n ++current;\n const expression = parseExpressionSequence();\n if (tokens[current].type !== TOKEN_TYPES.CloseParen) {\n throw new SyntaxError(`Expected closing parenthesis, got ${tokens[current].type} instead`);\n }\n ++current;\n return expression;\n }\n case TOKEN_TYPES.OpenSquareBracket: {\n ++current;\n const values = [];\n while (!is(TOKEN_TYPES.CloseSquareBracket)) {\n values.push(parseExpression());\n if (is(TOKEN_TYPES.Comma)) {\n ++current;\n }\n }\n ++current;\n return new ArrayLiteral(values);\n }\n case TOKEN_TYPES.OpenCurlyBracket: {\n ++current;\n const values = /* @__PURE__ */ new Map();\n while (!is(TOKEN_TYPES.CloseCurlyBracket)) {\n const key = parseExpression();\n expect(TOKEN_TYPES.Colon, \"Expected colon between key and value in object literal\");\n const value = parseExpression();\n values.set(key, value);\n if (is(TOKEN_TYPES.Comma)) {\n ++current;\n }\n }\n ++current;\n return new ObjectLiteral(values);\n }\n default:\n throw new SyntaxError(`Unexpected token: ${token.type}`);\n }\n }\n while (current < tokens.length) {\n program.body.push(parseAny());\n }\n return program;\n}\n\n// src/utils.ts\nfunction range(start, stop, step = 1) {\n if (stop === void 0) {\n stop = start;\n start = 0;\n }\n const result = [];\n for (let i = start; i < stop; i += step) {\n result.push(i);\n }\n return result;\n}\nfunction slice(array, start, stop, step = 1) {\n const direction = Math.sign(step);\n if (direction >= 0) {\n start = (start ??= 0) < 0 ? Math.max(array.length + start, 0) : Math.min(start, array.length);\n stop = (stop ??= array.length) < 0 ? Math.max(array.length + stop, 0) : Math.min(stop, array.length);\n } else {\n start = (start ??= array.length - 1) < 0 ? Math.max(array.length + start, -1) : Math.min(start, array.length - 1);\n stop = (stop ??= -1) < -1 ? Math.max(array.length + stop, -1) : Math.min(stop, array.length - 1);\n }\n const result = [];\n for (let i = start; direction * i < direction * stop; i += step) {\n result.push(array[i]);\n }\n return result;\n}\nfunction titleCase(value) {\n return value.replace(/\\b\\w/g, (c) => c.toUpperCase());\n}\n\n// src/runtime.ts\nvar RuntimeValue = class {\n type = \"RuntimeValue\";\n value;\n /**\n * A collection of built-in functions for this type.\n */\n builtins = /* @__PURE__ */ new Map();\n /**\n * Creates a new RuntimeValue.\n */\n constructor(value = void 0) {\n this.value = value;\n }\n /**\n * Determines truthiness or falsiness of the runtime value.\n * This function should be overridden by subclasses if it has custom truthiness criteria.\n * @returns {BooleanValue} BooleanValue(true) if the value is truthy, BooleanValue(false) otherwise.\n */\n __bool__() {\n return new BooleanValue(!!this.value);\n }\n};\nvar NumericValue = class extends RuntimeValue {\n type = \"NumericValue\";\n};\nvar StringValue = class extends RuntimeValue {\n type = \"StringValue\";\n builtins = /* @__PURE__ */ new Map([\n [\n \"upper\",\n new FunctionValue(() => {\n return new StringValue(this.value.toUpperCase());\n })\n ],\n [\n \"lower\",\n new FunctionValue(() => {\n return new StringValue(this.value.toLowerCase());\n })\n ],\n [\n \"strip\",\n new FunctionValue(() => {\n return new StringValue(this.value.trim());\n })\n ],\n [\n \"title\",\n new FunctionValue(() => {\n return new StringValue(titleCase(this.value));\n })\n ],\n [\"length\", new NumericValue(this.value.length)],\n [\n \"rstrip\",\n new FunctionValue(() => {\n return new StringValue(this.value.trimEnd());\n })\n ],\n [\n \"lstrip\",\n new FunctionValue(() => {\n return new StringValue(this.value.trimStart());\n })\n ],\n [\n \"split\",\n // follows Python's `str.split(sep=None, maxsplit=-1)` function behavior\n // https://docs.python.org/3.13/library/stdtypes.html#str.split\n new FunctionValue((args) => {\n const sep = args[0] ?? new NullValue();\n if (!(sep instanceof StringValue || sep instanceof NullValue)) {\n throw new Error(\"sep argument must be a string or null\");\n }\n const maxsplit = args[1] ?? new NumericValue(-1);\n if (!(maxsplit instanceof NumericValue)) {\n throw new Error(\"maxsplit argument must be a number\");\n }\n let result = [];\n if (sep instanceof NullValue) {\n const text = this.value.trimStart();\n for (const { 0: match, index } of text.matchAll(/\\S+/g)) {\n if (maxsplit.value !== -1 && result.length >= maxsplit.value && index !== void 0) {\n result.push(match + text.slice(index + match.length));\n break;\n }\n result.push(match);\n }\n } else {\n if (sep.value === \"\") {\n throw new Error(\"empty separator\");\n }\n result = this.value.split(sep.value);\n if (maxsplit.value !== -1 && result.length > maxsplit.value) {\n result.push(result.splice(maxsplit.value).join(sep.value));\n }\n }\n return new ArrayValue(result.map((part) => new StringValue(part)));\n })\n ]\n ]);\n};\nvar BooleanValue = class extends RuntimeValue {\n type = \"BooleanValue\";\n};\nvar ObjectValue = class extends RuntimeValue {\n type = \"ObjectValue\";\n /**\n * NOTE: necessary to override since all JavaScript arrays are considered truthy,\n * while only non-empty Python arrays are consider truthy.\n *\n * e.g.,\n * - JavaScript: {} && 5 -> 5\n * - Python: {} and 5 -> {}\n */\n __bool__() {\n return new BooleanValue(this.value.size > 0);\n }\n builtins = /* @__PURE__ */ new Map([\n [\n \"get\",\n new FunctionValue(([key, defaultValue]) => {\n if (!(key instanceof StringValue)) {\n throw new Error(`Object key must be a string: got ${key.type}`);\n }\n return this.value.get(key.value) ?? defaultValue ?? new NullValue();\n })\n ],\n [\n \"items\",\n new FunctionValue(() => {\n return new ArrayValue(\n Array.from(this.value.entries()).map(([key, value]) => new ArrayValue([new StringValue(key), value]))\n );\n })\n ]\n ]);\n};\nvar KeywordArgumentsValue = class extends ObjectValue {\n type = \"KeywordArgumentsValue\";\n};\nvar ArrayValue = class extends RuntimeValue {\n type = \"ArrayValue\";\n builtins = /* @__PURE__ */ new Map([[\"length\", new NumericValue(this.value.length)]]);\n /**\n * NOTE: necessary to override since all JavaScript arrays are considered truthy,\n * while only non-empty Python arrays are consider truthy.\n *\n * e.g.,\n * - JavaScript: [] && 5 -> 5\n * - Python: [] and 5 -> []\n */\n __bool__() {\n return new BooleanValue(this.value.length > 0);\n }\n};\nvar TupleValue = class extends ArrayValue {\n type = \"TupleValue\";\n};\nvar FunctionValue = class extends RuntimeValue {\n type = \"FunctionValue\";\n};\nvar NullValue = class extends RuntimeValue {\n type = \"NullValue\";\n};\nvar UndefinedValue = class extends RuntimeValue {\n type = \"UndefinedValue\";\n};\nvar Environment = class {\n constructor(parent) {\n this.parent = parent;\n }\n /**\n * The variables declared in this environment.\n */\n variables = /* @__PURE__ */ new Map([\n [\n \"namespace\",\n new FunctionValue((args) => {\n if (args.length === 0) {\n return new ObjectValue(/* @__PURE__ */ new Map());\n }\n if (args.length !== 1 || !(args[0] instanceof ObjectValue)) {\n throw new Error(\"`namespace` expects either zero arguments or a single object argument\");\n }\n return args[0];\n })\n ]\n ]);\n /**\n * The tests available in this environment.\n */\n tests = /* @__PURE__ */ new Map([\n [\"boolean\", (operand) => operand.type === \"BooleanValue\"],\n [\"callable\", (operand) => operand instanceof FunctionValue],\n [\n \"odd\",\n (operand) => {\n if (operand.type !== \"NumericValue\") {\n throw new Error(`Cannot apply test \"odd\" to type: ${operand.type}`);\n }\n return operand.value % 2 !== 0;\n }\n ],\n [\n \"even\",\n (operand) => {\n if (operand.type !== \"NumericValue\") {\n throw new Error(`Cannot apply test \"even\" to type: ${operand.type}`);\n }\n return operand.value % 2 === 0;\n }\n ],\n [\"false\", (operand) => operand.type === \"BooleanValue\" && !operand.value],\n [\"true\", (operand) => operand.type === \"BooleanValue\" && operand.value],\n [\"none\", (operand) => operand.type === \"NullValue\"],\n [\"string\", (operand) => operand.type === \"StringValue\"],\n [\"number\", (operand) => operand.type === \"NumericValue\"],\n [\"integer\", (operand) => operand.type === \"NumericValue\" && Number.isInteger(operand.value)],\n [\"iterable\", (operand) => operand.type === \"ArrayValue\" || operand.type === \"StringValue\"],\n [\"mapping\", (operand) => operand.type === \"ObjectValue\"],\n [\n \"lower\",\n (operand) => {\n const str = operand.value;\n return operand.type === \"StringValue\" && str === str.toLowerCase();\n }\n ],\n [\n \"upper\",\n (operand) => {\n const str = operand.value;\n return operand.type === \"StringValue\" && str === str.toUpperCase();\n }\n ],\n [\"none\", (operand) => operand.type === \"NullValue\"],\n [\"defined\", (operand) => operand.type !== \"UndefinedValue\"],\n [\"undefined\", (operand) => operand.type === \"UndefinedValue\"],\n [\"equalto\", (a, b) => a.value === b.value],\n [\"eq\", (a, b) => a.value === b.value]\n ]);\n /**\n * Set the value of a variable in the current environment.\n */\n set(name, value) {\n return this.declareVariable(name, convertToRuntimeValues(value));\n }\n declareVariable(name, value) {\n if (this.variables.has(name)) {\n throw new SyntaxError(`Variable already declared: ${name}`);\n }\n this.variables.set(name, value);\n return value;\n }\n // private assignVariable(name: string, value: AnyRuntimeValue): AnyRuntimeValue {\n // \tconst env = this.resolve(name);\n // \tenv.variables.set(name, value);\n // \treturn value;\n // }\n /**\n * Set variable in the current scope.\n * See https://jinja.palletsprojects.com/en/3.0.x/templates/#assignments for more information.\n */\n setVariable(name, value) {\n this.variables.set(name, value);\n return value;\n }\n /**\n * Resolve the environment in which the variable is declared.\n * @param {string} name The name of the variable.\n * @returns {Environment} The environment in which the variable is declared.\n */\n resolve(name) {\n if (this.variables.has(name)) {\n return this;\n }\n if (this.parent) {\n return this.parent.resolve(name);\n }\n throw new Error(`Unknown variable: ${name}`);\n }\n lookupVariable(name) {\n try {\n return this.resolve(name).variables.get(name) ?? new UndefinedValue();\n } catch {\n return new UndefinedValue();\n }\n }\n};\nvar Interpreter = class {\n global;\n constructor(env) {\n this.global = env ?? new Environment();\n }\n /**\n * Run the program.\n */\n run(program) {\n return this.evaluate(program, this.global);\n }\n /**\n * Evaluates expressions following the binary operation type.\n */\n evaluateBinaryExpression(node, environment) {\n const left = this.evaluate(node.left, environment);\n switch (node.operator.value) {\n case \"and\":\n return left.__bool__().value ? this.evaluate(node.right, environment) : left;\n case \"or\":\n return left.__bool__().value ? left : this.evaluate(node.right, environment);\n }\n const right = this.evaluate(node.right, environment);\n switch (node.operator.value) {\n case \"==\":\n return new BooleanValue(left.value == right.value);\n case \"!=\":\n return new BooleanValue(left.value != right.value);\n }\n if (left instanceof UndefinedValue || right instanceof UndefinedValue) {\n throw new Error(\"Cannot perform operation on undefined values\");\n } else if (left instanceof NullValue || right instanceof NullValue) {\n throw new Error(\"Cannot perform operation on null values\");\n } else if (left instanceof NumericValue && right instanceof NumericValue) {\n switch (node.operator.value) {\n case \"+\":\n return new NumericValue(left.value + right.value);\n case \"-\":\n return new NumericValue(left.value - right.value);\n case \"*\":\n return new NumericValue(left.value * right.value);\n case \"/\":\n return new NumericValue(left.value / right.value);\n case \"%\":\n return new NumericValue(left.value % right.value);\n case \"<\":\n return new BooleanValue(left.value < right.value);\n case \">\":\n return new BooleanValue(left.value > right.value);\n case \">=\":\n return new BooleanValue(left.value >= right.value);\n case \"<=\":\n return new BooleanValue(left.value <= right.value);\n }\n } else if (left instanceof ArrayValue && right instanceof ArrayValue) {\n switch (node.operator.value) {\n case \"+\":\n return new ArrayValue(left.value.concat(right.value));\n }\n } else if (right instanceof ArrayValue) {\n const member = right.value.find((x) => x.value === left.value) !== void 0;\n switch (node.operator.value) {\n case \"in\":\n return new BooleanValue(member);\n case \"not in\":\n return new BooleanValue(!member);\n }\n }\n if (left instanceof StringValue || right instanceof StringValue) {\n switch (node.operator.value) {\n case \"+\":\n return new StringValue(left.value.toString() + right.value.toString());\n }\n }\n if (left instanceof StringValue && right instanceof StringValue) {\n switch (node.operator.value) {\n case \"in\":\n return new BooleanValue(right.value.includes(left.value));\n case \"not in\":\n return new BooleanValue(!right.value.includes(left.value));\n }\n }\n if (left instanceof StringValue && right instanceof ObjectValue) {\n switch (node.operator.value) {\n case \"in\":\n return new BooleanValue(right.value.has(left.value));\n case \"not in\":\n return new BooleanValue(!right.value.has(left.value));\n }\n }\n throw new SyntaxError(`Unknown operator \"${node.operator.value}\" between ${left.type} and ${right.type}`);\n }\n evaluateArguments(args, environment) {\n const positionalArguments = [];\n const keywordArguments = /* @__PURE__ */ new Map();\n for (const argument of args) {\n if (argument.type === \"KeywordArgumentExpression\") {\n const kwarg = argument;\n keywordArguments.set(kwarg.key.value, this.evaluate(kwarg.value, environment));\n } else {\n if (keywordArguments.size > 0) {\n throw new Error(\"Positional arguments must come before keyword arguments\");\n }\n positionalArguments.push(this.evaluate(argument, environment));\n }\n }\n return [positionalArguments, keywordArguments];\n }\n /**\n * Evaluates expressions following the filter operation type.\n */\n evaluateFilterExpression(node, environment) {\n const operand = this.evaluate(node.operand, environment);\n if (node.filter.type === \"Identifier\") {\n const filter = node.filter;\n if (filter.value === \"tojson\") {\n return new StringValue(toJSON(operand));\n }\n if (operand instanceof ArrayValue) {\n switch (filter.value) {\n case \"list\":\n return operand;\n case \"first\":\n return operand.value[0];\n case \"last\":\n return operand.value[operand.value.length - 1];\n case \"length\":\n return new NumericValue(operand.value.length);\n case \"reverse\":\n return new ArrayValue(operand.value.reverse());\n case \"sort\":\n return new ArrayValue(\n operand.value.sort((a, b) => {\n if (a.type !== b.type) {\n throw new Error(`Cannot compare different types: ${a.type} and ${b.type}`);\n }\n switch (a.type) {\n case \"NumericValue\":\n return a.value - b.value;\n case \"StringValue\":\n return a.value.localeCompare(b.value);\n default:\n throw new Error(`Cannot compare type: ${a.type}`);\n }\n })\n );\n case \"join\":\n return new StringValue(operand.value.map((x) => x.value).join(\"\"));\n default:\n throw new Error(`Unknown ArrayValue filter: ${filter.value}`);\n }\n } else if (operand instanceof StringValue) {\n switch (filter.value) {\n case \"length\":\n return new NumericValue(operand.value.length);\n case \"upper\":\n return new StringValue(operand.value.toUpperCase());\n case \"lower\":\n return new StringValue(operand.value.toLowerCase());\n case \"title\":\n return new StringValue(titleCase(operand.value));\n case \"capitalize\":\n return new StringValue(operand.value.charAt(0).toUpperCase() + operand.value.slice(1));\n case \"trim\":\n return new StringValue(operand.value.trim());\n case \"indent\":\n return new StringValue(\n operand.value.split(\"\\n\").map(\n (x, i) => (\n // By default, don't indent the first line or empty lines\n i === 0 || x.length === 0 ? x : \" \" + x\n )\n ).join(\"\\n\")\n );\n case \"join\":\n case \"string\":\n return operand;\n default:\n throw new Error(`Unknown StringValue filter: ${filter.value}`);\n }\n } else if (operand instanceof NumericValue) {\n switch (filter.value) {\n case \"abs\":\n return new NumericValue(Math.abs(operand.value));\n default:\n throw new Error(`Unknown NumericValue filter: ${filter.value}`);\n }\n } else if (operand instanceof ObjectValue) {\n switch (filter.value) {\n case \"items\":\n return new ArrayValue(\n Array.from(operand.value.entries()).map(([key, value]) => new ArrayValue([new StringValue(key), value]))\n );\n case \"length\":\n return new NumericValue(operand.value.size);\n default:\n throw new Error(`Unknown ObjectValue filter: ${filter.value}`);\n }\n }\n throw new Error(`Cannot apply filter \"${filter.value}\" to type: ${operand.type}`);\n } else if (node.filter.type === \"CallExpression\") {\n const filter = node.filter;\n if (filter.callee.type !== \"Identifier\") {\n throw new Error(`Unknown filter: ${filter.callee.type}`);\n }\n const filterName = filter.callee.value;\n if (filterName === \"tojson\") {\n const [, kwargs] = this.evaluateArguments(filter.args, environment);\n const indent = kwargs.get(\"indent\") ?? new NullValue();\n if (!(indent instanceof NumericValue || indent instanceof NullValue)) {\n throw new Error(\"If set, indent must be a number\");\n }\n return new StringValue(toJSON(operand, indent.value));\n } else if (filterName === \"join\") {\n let value;\n if (operand instanceof StringValue) {\n value = Array.from(operand.value);\n } else if (operand instanceof ArrayValue) {\n value = operand.value.map((x) => x.value);\n } else {\n throw new Error(`Cannot apply filter \"${filterName}\" to type: ${operand.type}`);\n }\n const [args, kwargs] = this.evaluateArguments(filter.args, environment);\n const separator = args.at(0) ?? kwargs.get(\"separator\") ?? new StringValue(\"\");\n if (!(separator instanceof StringValue)) {\n throw new Error(\"separator must be a string\");\n }\n return new StringValue(value.join(separator.value));\n }\n if (operand instanceof ArrayValue) {\n switch (filterName) {\n case \"selectattr\":\n case \"rejectattr\": {\n const select = filterName === \"selectattr\";\n if (operand.value.some((x) => !(x instanceof ObjectValue))) {\n throw new Error(`\\`${filterName}\\` can only be applied to array of objects`);\n }\n if (filter.args.some((x) => x.type !== \"StringLiteral\")) {\n throw new Error(`arguments of \\`${filterName}\\` must be strings`);\n }\n const [attr, testName, value] = filter.args.map((x) => this.evaluate(x, environment));\n let testFunction;\n if (testName) {\n const test = environment.tests.get(testName.value);\n if (!test) {\n throw new Error(`Unknown test: ${testName.value}`);\n }\n testFunction = test;\n } else {\n testFunction = (...x) => x[0].__bool__().value;\n }\n const filtered = operand.value.filter((item) => {\n const a = item.value.get(attr.value);\n const result = a ? testFunction(a, value) : false;\n return select ? result : !result;\n });\n return new ArrayValue(filtered);\n }\n case \"map\": {\n const [, kwargs] = this.evaluateArguments(filter.args, environment);\n if (kwargs.has(\"attribute\")) {\n const attr = kwargs.get(\"attribute\");\n if (!(attr instanceof StringValue)) {\n throw new Error(\"attribute must be a string\");\n }\n const defaultValue = kwargs.get(\"default\");\n const mapped = operand.value.map((item) => {\n if (!(item instanceof ObjectValue)) {\n throw new Error(\"items in map must be an object\");\n }\n return item.value.get(attr.value) ?? defaultValue ?? new UndefinedValue();\n });\n return new ArrayValue(mapped);\n } else {\n throw new Error(\"`map` expressions without `attribute` set are not currently supported.\");\n }\n }\n }\n throw new Error(`Unknown ArrayValue filter: ${filterName}`);\n } else if (operand instanceof StringValue) {\n switch (filterName) {\n case \"indent\": {\n const [args, kwargs] = this.evaluateArguments(filter.args, environment);\n const width = args.at(0) ?? kwargs.get(\"width\") ?? new NumericValue(4);\n if (!(width instanceof NumericValue)) {\n throw new Error(\"width must be a number\");\n }\n const first = args.at(1) ?? kwargs.get(\"first\") ?? new BooleanValue(false);\n const blank = args.at(2) ?? kwargs.get(\"blank\") ?? new BooleanValue(false);\n const lines = operand.value.split(\"\\n\");\n const indent = \" \".repeat(width.value);\n const indented = lines.map(\n (x, i) => !first.value && i === 0 || !blank.value && x.length === 0 ? x : indent + x\n );\n return new StringValue(indented.join(\"\\n\"));\n }\n }\n throw new Error(`Unknown StringValue filter: ${filterName}`);\n } else {\n throw new Error(`Cannot apply filter \"${filterName}\" to type: ${operand.type}`);\n }\n }\n throw new Error(`Unknown filter: ${node.filter.type}`);\n }\n /**\n * Evaluates expressions following the test operation type.\n */\n evaluateTestExpression(node, environment) {\n const operand = this.evaluate(node.operand, environment);\n const test = environment.tests.get(node.test.value);\n if (!test) {\n throw new Error(`Unknown test: ${node.test.value}`);\n }\n const result = test(operand);\n return new BooleanValue(node.negate ? !result : result);\n }\n /**\n * Evaluates expressions following the unary operation type.\n */\n evaluateUnaryExpression(node, environment) {\n const argument = this.evaluate(node.argument, environment);\n switch (node.operator.value) {\n case \"not\":\n return new BooleanValue(!argument.value);\n default:\n throw new SyntaxError(`Unknown operator: ${node.operator.value}`);\n }\n }\n evalProgram(program, environment) {\n return this.evaluateBlock(program.body, environment);\n }\n evaluateBlock(statements, environment) {\n let result = \"\";\n for (const statement of statements) {\n const lastEvaluated = this.evaluate(statement, environment);\n if (lastEvaluated.type !== \"NullValue\" && lastEvaluated.type !== \"UndefinedValue\") {\n result += lastEvaluated.value;\n }\n }\n return new StringValue(result);\n }\n evaluateIdentifier(node, environment) {\n return environment.lookupVariable(node.value);\n }\n evaluateCallExpression(expr, environment) {\n const [args, kwargs] = this.evaluateArguments(expr.args, environment);\n if (kwargs.size > 0) {\n args.push(new KeywordArgumentsValue(kwargs));\n }\n const fn = this.evaluate(expr.callee, environment);\n if (fn.type !== \"FunctionValue\") {\n throw new Error(`Cannot call something that is not a function: got ${fn.type}`);\n }\n return fn.value(args, environment);\n }\n evaluateSliceExpression(object, expr, environment) {\n if (!(object instanceof ArrayValue || object instanceof StringValue)) {\n throw new Error(\"Slice object must be an array or string\");\n }\n const start = this.evaluate(expr.start, environment);\n const stop = this.evaluate(expr.stop, environment);\n const step = this.evaluate(expr.step, environment);\n if (!(start instanceof NumericValue || start instanceof UndefinedValue)) {\n throw new Error(\"Slice start must be numeric or undefined\");\n }\n if (!(stop instanceof NumericValue || stop instanceof UndefinedValue)) {\n throw new Error(\"Slice stop must be numeric or undefined\");\n }\n if (!(step instanceof NumericValue || step instanceof UndefinedValue)) {\n throw new Error(\"Slice step must be numeric or undefined\");\n }\n if (object instanceof ArrayValue) {\n return new ArrayValue(slice(object.value, start.value, stop.value, step.value));\n } else {\n return new StringValue(slice(Array.from(object.value), start.value, stop.value, step.value).join(\"\"));\n }\n }\n evaluateMemberExpression(expr, environment) {\n const object = this.evaluate(expr.object, environment);\n let property;\n if (expr.computed) {\n if (expr.property.type === \"SliceExpression\") {\n return this.evaluateSliceExpression(object, expr.property, environment);\n } else {\n property = this.evaluate(expr.property, environment);\n }\n } else {\n property = new StringValue(expr.property.value);\n }\n let value;\n if (object instanceof ObjectValue) {\n if (!(property instanceof StringValue)) {\n throw new Error(`Cannot access property with non-string: got ${property.type}`);\n }\n value = object.value.get(property.value) ?? object.builtins.get(property.value);\n } else if (object instanceof ArrayValue || object instanceof StringValue) {\n if (property instanceof NumericValue) {\n value = object.value.at(property.value);\n if (object instanceof StringValue) {\n value = new StringValue(object.value.at(property.value));\n }\n } else if (property instanceof StringValue) {\n value = object.builtins.get(property.value);\n } else {\n throw new Error(`Cannot access property with non-string/non-number: got ${property.type}`);\n }\n } else {\n if (!(property instanceof StringValue)) {\n throw new Error(`Cannot access property with non-string: got ${property.type}`);\n }\n value = object.builtins.get(property.value);\n }\n return value instanceof RuntimeValue ? value : new UndefinedValue();\n }\n evaluateSet(node, environment) {\n const rhs = this.evaluate(node.value, environment);\n if (node.assignee.type === \"Identifier\") {\n const variableName = node.assignee.value;\n environment.setVariable(variableName, rhs);\n } else if (node.assignee.type === \"MemberExpression\") {\n const member = node.assignee;\n const object = this.evaluate(member.object, environment);\n if (!(object instanceof ObjectValue)) {\n throw new Error(\"Cannot assign to member of non-object\");\n }\n if (member.property.type !== \"Identifier\") {\n throw new Error(\"Cannot assign to member with non-identifier property\");\n }\n object.value.set(member.property.value, rhs);\n } else {\n throw new Error(`Invalid LHS inside assignment expression: ${JSON.stringify(node.assignee)}`);\n }\n return new NullValue();\n }\n evaluateIf(node, environment) {\n const test = this.evaluate(node.test, environment);\n return this.evaluateBlock(test.__bool__().value ? node.body : node.alternate, environment);\n }\n evaluateFor(node, environment) {\n const scope = new Environment(environment);\n let test, iterable;\n if (node.iterable.type === \"SelectExpression\") {\n const select = node.iterable;\n iterable = this.evaluate(select.iterable, scope);\n test = select.test;\n } else {\n iterable = this.evaluate(node.iterable, scope);\n }\n if (!(iterable instanceof ArrayValue)) {\n throw new Error(`Expected iterable type in for loop: got ${iterable.type}`);\n }\n const items = [];\n const scopeUpdateFunctions = [];\n for (let i = 0; i < iterable.value.length; ++i) {\n const loopScope = new Environment(scope);\n const current = iterable.value[i];\n let scopeUpdateFunction;\n if (node.loopvar.type === \"Identifier\") {\n scopeUpdateFunction = (scope2) => scope2.setVariable(node.loopvar.value, current);\n } else if (node.loopvar.type === \"TupleLiteral\") {\n const loopvar = node.loopvar;\n if (current.type !== \"ArrayValue\") {\n throw new Error(`Cannot unpack non-iterable type: ${current.type}`);\n }\n const c = current;\n if (loopvar.value.length !== c.value.length) {\n throw new Error(`Too ${loopvar.value.length > c.value.length ? \"few\" : \"many\"} items to unpack`);\n }\n scopeUpdateFunction = (scope2) => {\n for (let j = 0; j < loopvar.value.length; ++j) {\n if (loopvar.value[j].type !== \"Identifier\") {\n throw new Error(`Cannot unpack non-identifier type: ${loopvar.value[j].type}`);\n }\n scope2.setVariable(loopvar.value[j].value, c.value[j]);\n }\n };\n } else {\n throw new Error(`Invalid loop variable(s): ${node.loopvar.type}`);\n }\n if (test) {\n scopeUpdateFunction(loopScope);\n const testValue = this.evaluate(test, loopScope);\n if (!testValue.__bool__().value) {\n continue;\n }\n }\n items.push(current);\n scopeUpdateFunctions.push(scopeUpdateFunction);\n }\n let result = \"\";\n let noIteration = true;\n for (let i = 0; i < items.length; ++i) {\n const loop = /* @__PURE__ */ new Map([\n [\"index\", new NumericValue(i + 1)],\n [\"index0\", new NumericValue(i)],\n [\"revindex\", new NumericValue(items.length - i)],\n [\"revindex0\", new NumericValue(items.length - i - 1)],\n [\"first\", new BooleanValue(i === 0)],\n [\"last\", new BooleanValue(i === items.length - 1)],\n [\"length\", new NumericValue(items.length)],\n [\"previtem\", i > 0 ? items[i - 1] : new UndefinedValue()],\n [\"nextitem\", i < items.length - 1 ? items[i + 1] : new UndefinedValue()]\n ]);\n scope.setVariable(\"loop\", new ObjectValue(loop));\n scopeUpdateFunctions[i](scope);\n const evaluated = this.evaluateBlock(node.body, scope);\n result += evaluated.value;\n noIteration = false;\n }\n if (noIteration) {\n const defaultEvaluated = this.evaluateBlock(node.defaultBlock, scope);\n result += defaultEvaluated.value;\n }\n return new StringValue(result);\n }\n /**\n * See https://jinja.palletsprojects.com/en/3.1.x/templates/#macros for more information.\n */\n evaluateMacro(node, environment) {\n environment.setVariable(\n node.name.value,\n new FunctionValue((args, scope) => {\n const macroScope = new Environment(scope);\n args = args.slice();\n let kwargs;\n if (args.at(-1)?.type === \"KeywordArgumentsValue\") {\n kwargs = args.pop();\n }\n for (let i = 0; i < node.args.length; ++i) {\n const nodeArg = node.args[i];\n const passedArg = args[i];\n if (nodeArg.type === \"Identifier\") {\n const identifier = nodeArg;\n if (!passedArg) {\n throw new Error(`Missing positional argument: ${identifier.value}`);\n }\n macroScope.setVariable(identifier.value, passedArg);\n } else if (nodeArg.type === \"KeywordArgumentExpression\") {\n const kwarg = nodeArg;\n const value = passedArg ?? // Try positional arguments first\n kwargs?.value.get(kwarg.key.value) ?? // Look in user-passed kwargs\n this.evaluate(kwarg.value, macroScope);\n macroScope.setVariable(kwarg.key.value, value);\n } else {\n throw new Error(`Unknown argument type: ${nodeArg.type}`);\n }\n }\n return this.evaluateBlock(node.body, macroScope);\n })\n );\n return new NullValue();\n }\n evaluate(statement, environment) {\n if (statement === void 0)\n return new UndefinedValue();\n switch (statement.type) {\n case \"Program\":\n return this.evalProgram(statement, environment);\n case \"Set\":\n return this.evaluateSet(statement, environment);\n case \"If\":\n return this.evaluateIf(statement, environment);\n case \"For\":\n return this.evaluateFor(statement, environment);\n case \"Macro\":\n return this.evaluateMacro(statement, environment);\n case \"NumericLiteral\":\n return new NumericValue(Number(statement.value));\n case \"StringLiteral\":\n return new StringValue(statement.value);\n case \"BooleanLiteral\":\n return new BooleanValue(statement.value);\n case \"NullLiteral\":\n return new NullValue(statement.value);\n case \"ArrayLiteral\":\n return new ArrayValue(statement.value.map((x) => this.evaluate(x, environment)));\n case \"TupleLiteral\":\n return new TupleValue(statement.value.map((x) => this.evaluate(x, environment)));\n case \"ObjectLiteral\": {\n const mapping = /* @__PURE__ */ new Map();\n for (const [key, value] of statement.value) {\n const evaluatedKey = this.evaluate(key, environment);\n if (!(evaluatedKey instanceof StringValue)) {\n throw new Error(`Object keys must be strings: got ${evaluatedKey.type}`);\n }\n mapping.set(evaluatedKey.value, this.evaluate(value, environment));\n }\n return new ObjectValue(mapping);\n }\n case \"Identifier\":\n return this.evaluateIdentifier(statement, environment);\n case \"CallExpression\":\n return this.evaluateCallExpression(statement, environment);\n case \"MemberExpression\":\n return this.evaluateMemberExpression(statement, environment);\n case \"UnaryExpression\":\n return this.evaluateUnaryExpression(statement, environment);\n case \"BinaryExpression\":\n return this.evaluateBinaryExpression(statement, environment);\n case \"FilterExpression\":\n return this.evaluateFilterExpression(statement, environment);\n case \"TestExpression\":\n return this.evaluateTestExpression(statement, environment);\n default:\n throw new SyntaxError(`Unknown node type: ${statement.type}`);\n }\n }\n};\nfunction convertToRuntimeValues(input) {\n switch (typeof input) {\n case \"number\":\n return new NumericValue(input);\n case \"string\":\n return new StringValue(input);\n case \"boolean\":\n return new BooleanValue(input);\n case \"undefined\":\n return new UndefinedValue();\n case \"object\":\n if (input === null) {\n return new NullValue();\n } else if (Array.isArray(input)) {\n return new ArrayValue(input.map(convertToRuntimeValues));\n } else {\n return new ObjectValue(\n new Map(Object.entries(input).map(([key, value]) => [key, convertToRuntimeValues(value)]))\n );\n }\n case \"function\":\n return new FunctionValue((args, _scope) => {\n const result = input(...args.map((x) => x.value)) ?? null;\n return convertToRuntimeValues(result);\n });\n default:\n throw new Error(`Cannot convert to runtime value: ${input}`);\n }\n}\nfunction toJSON(input, indent, depth) {\n const currentDepth = depth ?? 0;\n switch (input.type) {\n case \"NullValue\":\n case \"UndefinedValue\":\n return \"null\";\n case \"NumericValue\":\n case \"StringValue\":\n case \"BooleanValue\":\n return JSON.stringify(input.value);\n case \"ArrayValue\":\n case \"ObjectValue\": {\n const indentValue = indent ? \" \".repeat(indent) : \"\";\n const basePadding = \"\\n\" + indentValue.repeat(currentDepth);\n const childrenPadding = basePadding + indentValue;\n if (input.type === \"ArrayValue\") {\n const core = input.value.map((x) => toJSON(x, indent, currentDepth + 1));\n return indent ? `[${childrenPadding}${core.join(`,${childrenPadding}`)}${basePadding}]` : `[${core.join(\", \")}]`;\n } else {\n const core = Array.from(input.value.entries()).map(([key, value]) => {\n const v = `\"${key}\": ${toJSON(value, indent, currentDepth + 1)}`;\n return indent ? `${childrenPadding}${v}` : v;\n });\n return indent ? `{${core.join(\",\")}${basePadding}}` : `{${core.join(\", \")}}`;\n }\n }\n default:\n throw new Error(`Cannot convert to JSON: ${input.type}`);\n }\n}\n\n// src/index.ts\nvar Template = class {\n parsed;\n /**\n * @param {string} template The template string\n */\n constructor(template) {\n const tokens = tokenize(template, {\n lstrip_blocks: true,\n trim_blocks: true\n });\n this.parsed = parse(tokens);\n }\n render(items) {\n const env = new Environment();\n env.set(\"false\", false);\n env.set(\"true\", true);\n env.set(\"raise_exception\", (args) => {\n throw new Error(args);\n });\n env.set(\"range\", range);\n if (items) {\n for (const [key, value] of Object.entries(items)) {\n env.set(key, value);\n }\n }\n const interpreter = new Interpreter(env);\n const result = interpreter.run(this.parsed);\n return result.value;\n }\n};\nexport {\n Environment,\n Interpreter,\n Template,\n parse,\n tokenize\n};\n", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nconst backends = new Map();\nconst backendsSortedByPriority = [];\n/**\n * Register a backend.\n *\n * @param name - the name as a key to lookup as an execution provider.\n * @param backend - the backend object.\n * @param priority - an integer indicating the priority of the backend. Higher number means higher priority. if priority\n * < 0, it will be considered as a 'beta' version and will not be used as a fallback backend by default.\n *\n * @ignore\n */\nexport const registerBackend = (name, backend, priority) => {\n if (backend && typeof backend.init === 'function' && typeof backend.createInferenceSessionHandler === 'function') {\n const currentBackend = backends.get(name);\n if (currentBackend === undefined) {\n backends.set(name, { backend, priority });\n }\n else if (currentBackend.priority > priority) {\n // same name is already registered with a higher priority. skip registeration.\n return;\n }\n else if (currentBackend.priority === priority) {\n if (currentBackend.backend !== backend) {\n throw new Error(`cannot register backend \"${name}\" using priority ${priority}`);\n }\n }\n if (priority >= 0) {\n const i = backendsSortedByPriority.indexOf(name);\n if (i !== -1) {\n backendsSortedByPriority.splice(i, 1);\n }\n for (let i = 0; i < backendsSortedByPriority.length; i++) {\n if (backends.get(backendsSortedByPriority[i]).priority <= priority) {\n backendsSortedByPriority.splice(i, 0, name);\n return;\n }\n }\n backendsSortedByPriority.push(name);\n }\n return;\n }\n throw new TypeError('not a valid backend');\n};\n/**\n * Try to resolve and initialize a backend.\n *\n * @param backendName - the name of the backend.\n * @returns the backend instance if resolved and initialized successfully, or an error message if failed.\n */\nconst tryResolveAndInitializeBackend = async (backendName) => {\n const backendInfo = backends.get(backendName);\n if (!backendInfo) {\n return 'backend not found.';\n }\n if (backendInfo.initialized) {\n return backendInfo.backend;\n }\n else if (backendInfo.aborted) {\n return backendInfo.error;\n }\n else {\n const isInitializing = !!backendInfo.initPromise;\n try {\n if (!isInitializing) {\n backendInfo.initPromise = backendInfo.backend.init(backendName);\n }\n await backendInfo.initPromise;\n backendInfo.initialized = true;\n return backendInfo.backend;\n }\n catch (e) {\n if (!isInitializing) {\n backendInfo.error = `${e}`;\n backendInfo.aborted = true;\n }\n return backendInfo.error;\n }\n finally {\n delete backendInfo.initPromise;\n }\n }\n};\n/**\n * Resolve execution providers from the specific session options.\n *\n * @param options - the session options object.\n * @returns a promise that resolves to a tuple of an initialized backend instance and a session options object with\n * filtered EP list.\n *\n * @ignore\n */\nexport const resolveBackendAndExecutionProviders = async (options) => {\n // extract backend hints from session options\n const eps = options.executionProviders || [];\n const backendHints = eps.map((i) => (typeof i === 'string' ? i : i.name));\n const backendNames = backendHints.length === 0 ? backendsSortedByPriority : backendHints;\n // try to resolve and initialize all requested backends\n let backend;\n const errors = [];\n const availableBackendNames = new Set();\n for (const backendName of backendNames) {\n const resolveResult = await tryResolveAndInitializeBackend(backendName);\n if (typeof resolveResult === 'string') {\n errors.push({ name: backendName, err: resolveResult });\n }\n else {\n if (!backend) {\n backend = resolveResult;\n }\n if (backend === resolveResult) {\n availableBackendNames.add(backendName);\n }\n }\n }\n // if no backend is available, throw error.\n if (!backend) {\n throw new Error(`no available backend found. ERR: ${errors.map((e) => `[${e.name}] ${e.err}`).join(', ')}`);\n }\n // for each explicitly requested backend, if it's not available, output warning message.\n for (const { name, err } of errors) {\n if (backendHints.includes(name)) {\n // eslint-disable-next-line no-console\n console.warn(`removing requested execution provider \"${name}\" from session options because it is not available: ${err}`);\n }\n }\n const filteredEps = eps.filter((i) => availableBackendNames.has(typeof i === 'string' ? i : i.name));\n return [\n backend,\n new Proxy(options, {\n get: (target, prop) => {\n if (prop === 'executionProviders') {\n return filteredEps;\n }\n return Reflect.get(target, prop);\n },\n }),\n ];\n};\n//# sourceMappingURL=backend-impl.js.map", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nexport { registerBackend } from './backend-impl.js';\n//# sourceMappingURL=backend.js.map", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nimport { version } from './version.js';\nlet logLevelValue = 'warning';\nexport const env = {\n wasm: {},\n webgl: {},\n webgpu: {},\n versions: { common: version },\n set logLevel(value) {\n if (value === undefined) {\n return;\n }\n if (typeof value !== 'string' || ['verbose', 'info', 'warning', 'error', 'fatal'].indexOf(value) === -1) {\n throw new Error(`Unsupported logging level: ${value}`);\n }\n logLevelValue = value;\n },\n get logLevel() {\n return logLevelValue;\n },\n};\n// set property 'logLevel' so that they can be correctly transferred to worker by `postMessage()`.\nObject.defineProperty(env, 'logLevel', { enumerable: true });\n//# sourceMappingURL=env-impl.js.map", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nimport { env as envImpl } from './env-impl.js';\n/**\n * Represent a set of flags as a global singleton.\n */\nexport const env = envImpl;\n//# sourceMappingURL=env.js.map", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\n/**\n * # ONNX Runtime JavaScript API\n *\n * ONNX Runtime JavaScript API is a unified API for all JavaScript usages, including the following NPM packages:\n *\n * - [onnxruntime-node](https://www.npmjs.com/package/onnxruntime-node)\n * - [onnxruntime-web](https://www.npmjs.com/package/onnxruntime-web)\n * - [onnxruntime-react-native](https://www.npmjs.com/package/onnxruntime-react-native)\n *\n * See also:\n * - [Get Started](https://onnxruntime.ai/docs/get-started/with-javascript/)\n * - [Inference examples](https://github.com/microsoft/onnxruntime-inference-examples/tree/main/js)\n *\n * @packageDocumentation\n */\nexport * from './backend.js';\nexport * from './env.js';\nexport * from './inference-session.js';\nexport * from './tensor.js';\nexport * from './tensor-conversion.js';\nexport * from './tensor-factory.js';\nexport * from './trace.js';\nexport * from './onnx-model.js';\nexport * from './onnx-value.js';\nexport * from './training-session.js';\n//# sourceMappingURL=index.js.map", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nimport { resolveBackendAndExecutionProviders } from './backend-impl.js';\nimport { Tensor } from './tensor.js';\nimport { TRACE_FUNC_BEGIN, TRACE_FUNC_END } from './trace.js';\nexport class InferenceSession {\n constructor(handler) {\n this.handler = handler;\n }\n async run(feeds, arg1, arg2) {\n TRACE_FUNC_BEGIN();\n const fetches = {};\n let options = {};\n // check inputs\n if (typeof feeds !== 'object' || feeds === null || feeds instanceof Tensor || Array.isArray(feeds)) {\n throw new TypeError(\"'feeds' must be an object that use input names as keys and OnnxValue as corresponding values.\");\n }\n let isFetchesEmpty = true;\n // determine which override is being used\n if (typeof arg1 === 'object') {\n if (arg1 === null) {\n throw new TypeError('Unexpected argument[1]: cannot be null.');\n }\n if (arg1 instanceof Tensor) {\n throw new TypeError(\"'fetches' cannot be a Tensor\");\n }\n if (Array.isArray(arg1)) {\n if (arg1.length === 0) {\n throw new TypeError(\"'fetches' cannot be an empty array.\");\n }\n isFetchesEmpty = false;\n // output names\n for (const name of arg1) {\n if (typeof name !== 'string') {\n throw new TypeError(\"'fetches' must be a string array or an object.\");\n }\n if (this.outputNames.indexOf(name) === -1) {\n throw new RangeError(`'fetches' contains invalid output name: ${name}.`);\n }\n fetches[name] = null;\n }\n if (typeof arg2 === 'object' && arg2 !== null) {\n options = arg2;\n }\n else if (typeof arg2 !== 'undefined') {\n throw new TypeError(\"'options' must be an object.\");\n }\n }\n else {\n // decide whether arg1 is fetches or options\n // if any output name is present and its value is valid OnnxValue, we consider it fetches\n let isFetches = false;\n const arg1Keys = Object.getOwnPropertyNames(arg1);\n for (const name of this.outputNames) {\n if (arg1Keys.indexOf(name) !== -1) {\n const v = arg1[name];\n if (v === null || v instanceof Tensor) {\n isFetches = true;\n isFetchesEmpty = false;\n fetches[name] = v;\n }\n }\n }\n if (isFetches) {\n if (typeof arg2 === 'object' && arg2 !== null) {\n options = arg2;\n }\n else if (typeof arg2 !== 'undefined') {\n throw new TypeError(\"'options' must be an object.\");\n }\n }\n else {\n options = arg1;\n }\n }\n }\n else if (typeof arg1 !== 'undefined') {\n throw new TypeError(\"Unexpected argument[1]: must be 'fetches' or 'options'.\");\n }\n // check if all inputs are in feed\n for (const name of this.inputNames) {\n if (typeof feeds[name] === 'undefined') {\n throw new Error(`input '${name}' is missing in 'feeds'.`);\n }\n }\n // if no fetches is specified, we use the full output names list\n if (isFetchesEmpty) {\n for (const name of this.outputNames) {\n fetches[name] = null;\n }\n }\n // feeds, fetches and options are prepared\n const results = await this.handler.run(feeds, fetches, options);\n const returnValue = {};\n for (const key in results) {\n if (Object.hasOwnProperty.call(results, key)) {\n const result = results[key];\n if (result instanceof Tensor) {\n returnValue[key] = result;\n }\n else {\n returnValue[key] = new Tensor(result.type, result.data, result.dims);\n }\n }\n }\n TRACE_FUNC_END();\n return returnValue;\n }\n async release() {\n return this.handler.dispose();\n }\n static async create(arg0, arg1, arg2, arg3) {\n TRACE_FUNC_BEGIN();\n // either load from a file or buffer\n let filePathOrUint8Array;\n let options = {};\n if (typeof arg0 === 'string') {\n filePathOrUint8Array = arg0;\n if (typeof arg1 === 'object' && arg1 !== null) {\n options = arg1;\n }\n else if (typeof arg1 !== 'undefined') {\n throw new TypeError(\"'options' must be an object.\");\n }\n }\n else if (arg0 instanceof Uint8Array) {\n filePathOrUint8Array = arg0;\n if (typeof arg1 === 'object' && arg1 !== null) {\n options = arg1;\n }\n else if (typeof arg1 !== 'undefined') {\n throw new TypeError(\"'options' must be an object.\");\n }\n }\n else if (arg0 instanceof ArrayBuffer ||\n (typeof SharedArrayBuffer !== 'undefined' && arg0 instanceof SharedArrayBuffer)) {\n const buffer = arg0;\n let byteOffset = 0;\n let byteLength = arg0.byteLength;\n if (typeof arg1 === 'object' && arg1 !== null) {\n options = arg1;\n }\n else if (typeof arg1 === 'number') {\n byteOffset = arg1;\n if (!Number.isSafeInteger(byteOffset)) {\n throw new RangeError(\"'byteOffset' must be an integer.\");\n }\n if (byteOffset < 0 || byteOffset >= buffer.byteLength) {\n throw new RangeError(`'byteOffset' is out of range [0, ${buffer.byteLength}).`);\n }\n byteLength = arg0.byteLength - byteOffset;\n if (typeof arg2 === 'number') {\n byteLength = arg2;\n if (!Number.isSafeInteger(byteLength)) {\n throw new RangeError(\"'byteLength' must be an integer.\");\n }\n if (byteLength <= 0 || byteOffset + byteLength > buffer.byteLength) {\n throw new RangeError(`'byteLength' is out of range (0, ${buffer.byteLength - byteOffset}].`);\n }\n if (typeof arg3 === 'object' && arg3 !== null) {\n options = arg3;\n }\n else if (typeof arg3 !== 'undefined') {\n throw new TypeError(\"'options' must be an object.\");\n }\n }\n else if (typeof arg2 !== 'undefined') {\n throw new TypeError(\"'byteLength' must be a number.\");\n }\n }\n else if (typeof arg1 !== 'undefined') {\n throw new TypeError(\"'options' must be an object.\");\n }\n filePathOrUint8Array = new Uint8Array(buffer, byteOffset, byteLength);\n }\n else {\n throw new TypeError(\"Unexpected argument[0]: must be 'path' or 'buffer'.\");\n }\n // resolve backend, update session options with validated EPs, and create session handler\n const [backend, optionsWithValidatedEPs] = await resolveBackendAndExecutionProviders(options);\n const handler = await backend.createInferenceSessionHandler(filePathOrUint8Array, optionsWithValidatedEPs);\n TRACE_FUNC_END();\n return new InferenceSession(handler);\n }\n startProfiling() {\n this.handler.startProfiling();\n }\n endProfiling() {\n this.handler.endProfiling();\n }\n get inputNames() {\n return this.handler.inputNames;\n }\n get outputNames() {\n return this.handler.outputNames;\n }\n}\n//# sourceMappingURL=inference-session-impl.js.map", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nimport { InferenceSession as InferenceSessionImpl } from './inference-session-impl.js';\n// eslint-disable-next-line @typescript-eslint/naming-convention\nexport const InferenceSession = InferenceSessionImpl;\n//# sourceMappingURL=inference-session.js.map", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nexport {};\n//# sourceMappingURL=onnx-model.js.map", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nexport {};\n//# sourceMappingURL=onnx-value.js.map", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\n/**\n * implementation of Tensor.toDataURL()\n */\nexport const tensorToDataURL = (tensor, options) => {\n const canvas = typeof document !== 'undefined' ? document.createElement('canvas') : new OffscreenCanvas(1, 1);\n canvas.width = tensor.dims[3];\n canvas.height = tensor.dims[2];\n const pixels2DContext = canvas.getContext('2d');\n if (pixels2DContext != null) {\n // Default values for height and width & format\n let width;\n let height;\n if (options?.tensorLayout !== undefined && options.tensorLayout === 'NHWC') {\n width = tensor.dims[2];\n height = tensor.dims[3];\n }\n else {\n // Default layout is NCWH\n width = tensor.dims[3];\n height = tensor.dims[2];\n }\n const inputformat = options?.format !== undefined ? options.format : 'RGB';\n const norm = options?.norm;\n let normMean;\n let normBias;\n if (norm === undefined || norm.mean === undefined) {\n normMean = [255, 255, 255, 255];\n }\n else {\n if (typeof norm.mean === 'number') {\n normMean = [norm.mean, norm.mean, norm.mean, norm.mean];\n }\n else {\n normMean = [norm.mean[0], norm.mean[1], norm.mean[2], 0];\n if (norm.mean[3] !== undefined) {\n normMean[3] = norm.mean[3];\n }\n }\n }\n if (norm === undefined || norm.bias === undefined) {\n normBias = [0, 0, 0, 0];\n }\n else {\n if (typeof norm.bias === 'number') {\n normBias = [norm.bias, norm.bias, norm.bias, norm.bias];\n }\n else {\n normBias = [norm.bias[0], norm.bias[1], norm.bias[2], 0];\n if (norm.bias[3] !== undefined) {\n normBias[3] = norm.bias[3];\n }\n }\n }\n const stride = height * width;\n // Default pointer assignments\n let rTensorPointer = 0, gTensorPointer = stride, bTensorPointer = stride * 2, aTensorPointer = -1;\n // Updating the pointer assignments based on the input image format\n if (inputformat === 'RGBA') {\n rTensorPointer = 0;\n gTensorPointer = stride;\n bTensorPointer = stride * 2;\n aTensorPointer = stride * 3;\n }\n else if (inputformat === 'RGB') {\n rTensorPointer = 0;\n gTensorPointer = stride;\n bTensorPointer = stride * 2;\n }\n else if (inputformat === 'RBG') {\n rTensorPointer = 0;\n bTensorPointer = stride;\n gTensorPointer = stride * 2;\n }\n for (let i = 0; i < height; i++) {\n for (let j = 0; j < width; j++) {\n const R = (tensor.data[rTensorPointer++] - normBias[0]) * normMean[0]; // R value\n const G = (tensor.data[gTensorPointer++] - normBias[1]) * normMean[1]; // G value\n const B = (tensor.data[bTensorPointer++] - normBias[2]) * normMean[2]; // B value\n const A = aTensorPointer === -1 ? 255 : (tensor.data[aTensorPointer++] - normBias[3]) * normMean[3]; // A value\n // eslint-disable-next-line @typescript-eslint/restrict-plus-operands\n pixels2DContext.fillStyle = 'rgba(' + R + ',' + G + ',' + B + ',' + A + ')';\n pixels2DContext.fillRect(j, i, 1, 1);\n }\n }\n if ('toDataURL' in canvas) {\n return canvas.toDataURL();\n }\n else {\n throw new Error('toDataURL is not supported');\n }\n }\n else {\n throw new Error('Can not access image data');\n }\n};\n/**\n * implementation of Tensor.toImageData()\n */\nexport const tensorToImageData = (tensor, options) => {\n const pixels2DContext = typeof document !== 'undefined'\n ? document.createElement('canvas').getContext('2d')\n : new OffscreenCanvas(1, 1).getContext('2d');\n let image;\n if (pixels2DContext != null) {\n // Default values for height and width & format\n let width;\n let height;\n let channels;\n if (options?.tensorLayout !== undefined && options.tensorLayout === 'NHWC') {\n width = tensor.dims[2];\n height = tensor.dims[1];\n channels = tensor.dims[3];\n }\n else {\n // Default layout is NCWH\n width = tensor.dims[3];\n height = tensor.dims[2];\n channels = tensor.dims[1];\n }\n const inputformat = options !== undefined ? (options.format !== undefined ? options.format : 'RGB') : 'RGB';\n const norm = options?.norm;\n let normMean;\n let normBias;\n if (norm === undefined || norm.mean === undefined) {\n normMean = [255, 255, 255, 255];\n }\n else {\n if (typeof norm.mean === 'number') {\n normMean = [norm.mean, norm.mean, norm.mean, norm.mean];\n }\n else {\n normMean = [norm.mean[0], norm.mean[1], norm.mean[2], 255];\n if (norm.mean[3] !== undefined) {\n normMean[3] = norm.mean[3];\n }\n }\n }\n if (norm === undefined || norm.bias === undefined) {\n normBias = [0, 0, 0, 0];\n }\n else {\n if (typeof norm.bias === 'number') {\n normBias = [norm.bias, norm.bias, norm.bias, norm.bias];\n }\n else {\n normBias = [norm.bias[0], norm.bias[1], norm.bias[2], 0];\n if (norm.bias[3] !== undefined) {\n normBias[3] = norm.bias[3];\n }\n }\n }\n const stride = height * width;\n if (options !== undefined) {\n if ((options.format !== undefined && channels === 4 && options.format !== 'RGBA') ||\n (channels === 3 && options.format !== 'RGB' && options.format !== 'BGR')) {\n throw new Error(\"Tensor format doesn't match input tensor dims\");\n }\n }\n // Default pointer assignments\n const step = 4;\n let rImagePointer = 0, gImagePointer = 1, bImagePointer = 2, aImagePointer = 3;\n let rTensorPointer = 0, gTensorPointer = stride, bTensorPointer = stride * 2, aTensorPointer = -1;\n // Updating the pointer assignments based on the input image format\n if (inputformat === 'RGBA') {\n rTensorPointer = 0;\n gTensorPointer = stride;\n bTensorPointer = stride * 2;\n aTensorPointer = stride * 3;\n }\n else if (inputformat === 'RGB') {\n rTensorPointer = 0;\n gTensorPointer = stride;\n bTensorPointer = stride * 2;\n }\n else if (inputformat === 'RBG') {\n rTensorPointer = 0;\n bTensorPointer = stride;\n gTensorPointer = stride * 2;\n }\n image = pixels2DContext.createImageData(width, height);\n for (let i = 0; i < height * width; rImagePointer += step, gImagePointer += step, bImagePointer += step, aImagePointer += step, i++) {\n image.data[rImagePointer] = (tensor.data[rTensorPointer++] - normBias[0]) * normMean[0]; // R value\n image.data[gImagePointer] = (tensor.data[gTensorPointer++] - normBias[1]) * normMean[1]; // G value\n image.data[bImagePointer] = (tensor.data[bTensorPointer++] - normBias[2]) * normMean[2]; // B value\n image.data[aImagePointer] =\n aTensorPointer === -1 ? 255 : (tensor.data[aTensorPointer++] - normBias[3]) * normMean[3]; // A value\n }\n }\n else {\n throw new Error('Can not access image data');\n }\n return image;\n};\n//# sourceMappingURL=tensor-conversion-impl.js.map", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nexport {};\n//# sourceMappingURL=tensor-conversion.js.map", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nimport { Tensor } from './tensor-impl.js';\n/**\n * Create a new tensor object from image object\n *\n * @param buffer - Extracted image buffer data - assuming RGBA format\n * @param imageFormat - input image configuration - required configurations height, width, format\n * @param tensorFormat - output tensor configuration - Default is RGB format\n */\nexport const bufferToTensor = (buffer, options) => {\n if (buffer === undefined) {\n throw new Error('Image buffer must be defined');\n }\n if (options.height === undefined || options.width === undefined) {\n throw new Error('Image height and width must be defined');\n }\n if (options.tensorLayout === 'NHWC') {\n throw new Error('NHWC Tensor layout is not supported yet');\n }\n const { height, width } = options;\n const norm = options.norm ?? { mean: 255, bias: 0 };\n let normMean;\n let normBias;\n if (typeof norm.mean === 'number') {\n normMean = [norm.mean, norm.mean, norm.mean, norm.mean];\n }\n else {\n normMean = [norm.mean[0], norm.mean[1], norm.mean[2], norm.mean[3] ?? 255];\n }\n if (typeof norm.bias === 'number') {\n normBias = [norm.bias, norm.bias, norm.bias, norm.bias];\n }\n else {\n normBias = [norm.bias[0], norm.bias[1], norm.bias[2], norm.bias[3] ?? 0];\n }\n const inputformat = options.format !== undefined ? options.format : 'RGBA';\n // default value is RGBA since imagedata and HTMLImageElement uses it\n const outputformat = options.tensorFormat !== undefined ? (options.tensorFormat !== undefined ? options.tensorFormat : 'RGB') : 'RGB';\n const stride = height * width;\n const float32Data = outputformat === 'RGBA' ? new Float32Array(stride * 4) : new Float32Array(stride * 3);\n // Default pointer assignments\n let step = 4, rImagePointer = 0, gImagePointer = 1, bImagePointer = 2, aImagePointer = 3;\n let rTensorPointer = 0, gTensorPointer = stride, bTensorPointer = stride * 2, aTensorPointer = -1;\n // Updating the pointer assignments based on the input image format\n if (inputformat === 'RGB') {\n step = 3;\n rImagePointer = 0;\n gImagePointer = 1;\n bImagePointer = 2;\n aImagePointer = -1;\n }\n // Updating the pointer assignments based on the output tensor format\n if (outputformat === 'RGBA') {\n aTensorPointer = stride * 3;\n }\n else if (outputformat === 'RBG') {\n rTensorPointer = 0;\n bTensorPointer = stride;\n gTensorPointer = stride * 2;\n }\n else if (outputformat === 'BGR') {\n bTensorPointer = 0;\n gTensorPointer = stride;\n rTensorPointer = stride * 2;\n }\n for (let i = 0; i < stride; i++, rImagePointer += step, bImagePointer += step, gImagePointer += step, aImagePointer += step) {\n float32Data[rTensorPointer++] = (buffer[rImagePointer] + normBias[0]) / normMean[0];\n float32Data[gTensorPointer++] = (buffer[gImagePointer] + normBias[1]) / normMean[1];\n float32Data[bTensorPointer++] = (buffer[bImagePointer] + normBias[2]) / normMean[2];\n if (aTensorPointer !== -1 && aImagePointer !== -1) {\n float32Data[aTensorPointer++] = (buffer[aImagePointer] + normBias[3]) / normMean[3];\n }\n }\n // Float32Array -> ort.Tensor\n const outputTensor = outputformat === 'RGBA'\n ? new Tensor('float32', float32Data, [1, 4, height, width])\n : new Tensor('float32', float32Data, [1, 3, height, width]);\n return outputTensor;\n};\n/**\n * implementation of Tensor.fromImage().\n */\nexport const tensorFromImage = async (image, options) => {\n // checking the type of image object\n const isHTMLImageEle = typeof HTMLImageElement !== 'undefined' && image instanceof HTMLImageElement;\n const isImageDataEle = typeof ImageData !== 'undefined' && image instanceof ImageData;\n const isImageBitmap = typeof ImageBitmap !== 'undefined' && image instanceof ImageBitmap;\n const isString = typeof image === 'string';\n let data;\n let bufferToTensorOptions = options ?? {};\n const createCanvas = () => {\n if (typeof document !== 'undefined') {\n return document.createElement('canvas');\n }\n else if (typeof OffscreenCanvas !== 'undefined') {\n return new OffscreenCanvas(1, 1);\n }\n else {\n throw new Error('Canvas is not supported');\n }\n };\n const createCanvasContext = (canvas) => {\n if (typeof HTMLCanvasElement !== 'undefined' && canvas instanceof HTMLCanvasElement) {\n return canvas.getContext('2d');\n }\n else if (canvas instanceof OffscreenCanvas) {\n return canvas.getContext('2d');\n }\n else {\n return null;\n }\n };\n // filling and checking image configuration options\n if (isHTMLImageEle) {\n // HTMLImageElement - image object - format is RGBA by default\n const canvas = createCanvas();\n canvas.width = image.width;\n canvas.height = image.height;\n const pixels2DContext = createCanvasContext(canvas);\n if (pixels2DContext != null) {\n let height = image.height;\n let width = image.width;\n if (options !== undefined && options.resizedHeight !== undefined && options.resizedWidth !== undefined) {\n height = options.resizedHeight;\n width = options.resizedWidth;\n }\n if (options !== undefined) {\n bufferToTensorOptions = options;\n if (options.tensorFormat !== undefined) {\n throw new Error('Image input config format must be RGBA for HTMLImageElement');\n }\n else {\n bufferToTensorOptions.tensorFormat = 'RGBA';\n }\n bufferToTensorOptions.height = height;\n bufferToTensorOptions.width = width;\n }\n else {\n bufferToTensorOptions.tensorFormat = 'RGBA';\n bufferToTensorOptions.height = height;\n bufferToTensorOptions.width = width;\n }\n pixels2DContext.drawImage(image, 0, 0);\n data = pixels2DContext.getImageData(0, 0, width, height).data;\n }\n else {\n throw new Error('Can not access image data');\n }\n }\n else if (isImageDataEle) {\n let height;\n let width;\n if (options !== undefined && options.resizedWidth !== undefined && options.resizedHeight !== undefined) {\n height = options.resizedHeight;\n width = options.resizedWidth;\n }\n else {\n height = image.height;\n width = image.width;\n }\n if (options !== undefined) {\n bufferToTensorOptions = options;\n }\n bufferToTensorOptions.format = 'RGBA';\n bufferToTensorOptions.height = height;\n bufferToTensorOptions.width = width;\n if (options !== undefined) {\n const tempCanvas = createCanvas();\n tempCanvas.width = width;\n tempCanvas.height = height;\n const pixels2DContext = createCanvasContext(tempCanvas);\n if (pixels2DContext != null) {\n pixels2DContext.putImageData(image, 0, 0);\n data = pixels2DContext.getImageData(0, 0, width, height).data;\n }\n else {\n throw new Error('Can not access image data');\n }\n }\n else {\n data = image.data;\n }\n }\n else if (isImageBitmap) {\n // ImageBitmap - image object - format must be provided by user\n if (options === undefined) {\n throw new Error('Please provide image config with format for Imagebitmap');\n }\n const canvas = createCanvas();\n canvas.width = image.width;\n canvas.height = image.height;\n const pixels2DContext = createCanvasContext(canvas);\n if (pixels2DContext != null) {\n const height = image.height;\n const width = image.width;\n pixels2DContext.drawImage(image, 0, 0, width, height);\n data = pixels2DContext.getImageData(0, 0, width, height).data;\n bufferToTensorOptions.height = height;\n bufferToTensorOptions.width = width;\n return bufferToTensor(data, bufferToTensorOptions);\n }\n else {\n throw new Error('Can not access image data');\n }\n }\n else if (isString) {\n return new Promise((resolve, reject) => {\n const canvas = createCanvas();\n const context = createCanvasContext(canvas);\n if (!image || !context) {\n return reject();\n }\n const newImage = new Image();\n newImage.crossOrigin = 'Anonymous';\n newImage.src = image;\n newImage.onload = () => {\n canvas.width = newImage.width;\n canvas.height = newImage.height;\n context.drawImage(newImage, 0, 0, canvas.width, canvas.height);\n const img = context.getImageData(0, 0, canvas.width, canvas.height);\n bufferToTensorOptions.height = canvas.height;\n bufferToTensorOptions.width = canvas.width;\n resolve(bufferToTensor(img.data, bufferToTensorOptions));\n };\n });\n }\n else {\n throw new Error('Input data provided is not supported - aborted tensor creation');\n }\n if (data !== undefined) {\n return bufferToTensor(data, bufferToTensorOptions);\n }\n else {\n throw new Error('Input data provided is not supported - aborted tensor creation');\n }\n};\n/**\n * implementation of Tensor.fromTexture().\n */\nexport const tensorFromTexture = (texture, options) => {\n const { width, height, download, dispose } = options;\n // Always assume RGBAF32. TODO: support different texture format\n const dims = [1, height, width, 4];\n return new Tensor({ location: 'texture', type: 'float32', texture, dims, download, dispose });\n};\n/**\n * implementation of Tensor.fromGpuBuffer().\n */\nexport const tensorFromGpuBuffer = (gpuBuffer, options) => {\n const { dataType, dims, download, dispose } = options;\n return new Tensor({ location: 'gpu-buffer', type: dataType ?? 'float32', gpuBuffer, dims, download, dispose });\n};\n/**\n * implementation of Tensor.fromMLTensor().\n */\nexport const tensorFromMLTensor = (mlTensor, options) => {\n const { dataType, dims, download, dispose } = options;\n return new Tensor({ location: 'ml-tensor', type: dataType ?? 'float32', mlTensor, dims, download, dispose });\n};\n/**\n * implementation of Tensor.fromPinnedBuffer().\n */\nexport const tensorFromPinnedBuffer = (type, buffer, dims) => new Tensor({ location: 'cpu-pinned', type, data: buffer, dims: dims ?? [buffer.length] });\n//# sourceMappingURL=tensor-factory-impl.js.map", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nexport {};\n//# sourceMappingURL=tensor-factory.js.map", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\n// a runtime map that maps type string to TypedArray constructor. Should match Tensor.DataTypeMap.\nexport const NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP = new Map([\n ['float32', Float32Array],\n ['uint8', Uint8Array],\n ['int8', Int8Array],\n ['uint16', Uint16Array],\n ['int16', Int16Array],\n ['int32', Int32Array],\n ['bool', Uint8Array],\n ['float64', Float64Array],\n ['uint32', Uint32Array],\n ['int4', Uint8Array],\n ['uint4', Uint8Array],\n]);\n// a runtime map that maps type string to TypedArray constructor. Should match Tensor.DataTypeMap.\nexport const NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP = new Map([\n [Float32Array, 'float32'],\n [Uint8Array, 'uint8'],\n [Int8Array, 'int8'],\n [Uint16Array, 'uint16'],\n [Int16Array, 'int16'],\n [Int32Array, 'int32'],\n [Float64Array, 'float64'],\n [Uint32Array, 'uint32'],\n]);\n// the following code allows delaying execution of BigInt/Float16Array checking. This allows lazy initialization for\n// NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP and NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP, which allows BigInt/Float16Array\n// polyfill if available.\nlet isTypedArrayChecked = false;\nexport const checkTypedArray = () => {\n if (!isTypedArrayChecked) {\n isTypedArrayChecked = true;\n const isBigInt64ArrayAvailable = typeof BigInt64Array !== 'undefined' && BigInt64Array.from;\n const isBigUint64ArrayAvailable = typeof BigUint64Array !== 'undefined' && BigUint64Array.from;\n const isFloat16ArrayAvailable = typeof Float16Array !== 'undefined' && Float16Array.from;\n if (isBigInt64ArrayAvailable) {\n NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set('int64', BigInt64Array);\n NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.set(BigInt64Array, 'int64');\n }\n if (isBigUint64ArrayAvailable) {\n NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set('uint64', BigUint64Array);\n NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.set(BigUint64Array, 'uint64');\n }\n if (isFloat16ArrayAvailable) {\n NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set('float16', Float16Array);\n NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.set(Float16Array, 'float16');\n }\n else {\n // if Float16Array is not available, use 'Uint16Array' to store the data.\n NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set('float16', Uint16Array);\n }\n }\n};\n//# sourceMappingURL=tensor-impl-type-mapping.js.map", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nimport { tensorToDataURL, tensorToImageData } from './tensor-conversion-impl.js';\nimport { tensorFromGpuBuffer, tensorFromImage, tensorFromMLTensor, tensorFromPinnedBuffer, tensorFromTexture, } from './tensor-factory-impl.js';\nimport { checkTypedArray, NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP, NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP, } from './tensor-impl-type-mapping.js';\nimport { calculateSize, tensorReshape } from './tensor-utils-impl.js';\n/**\n * the implementation of Tensor interface.\n *\n * @ignore\n */\nexport class Tensor {\n /**\n * implementation.\n */\n constructor(arg0, arg1, arg2) {\n // perform one-time check for BigInt/Float16Array support\n checkTypedArray();\n let type;\n let dims;\n if (typeof arg0 === 'object' && 'location' in arg0) {\n //\n // constructing tensor from specific location\n //\n this.dataLocation = arg0.location;\n type = arg0.type;\n dims = arg0.dims;\n switch (arg0.location) {\n case 'cpu-pinned': {\n const expectedTypedArrayConstructor = NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.get(type);\n if (!expectedTypedArrayConstructor) {\n throw new TypeError(`unsupported type \"${type}\" to create tensor from pinned buffer`);\n }\n if (!(arg0.data instanceof expectedTypedArrayConstructor)) {\n throw new TypeError(`buffer should be of type ${expectedTypedArrayConstructor.name}`);\n }\n this.cpuData = arg0.data;\n break;\n }\n case 'texture': {\n if (type !== 'float32') {\n throw new TypeError(`unsupported type \"${type}\" to create tensor from texture`);\n }\n this.gpuTextureData = arg0.texture;\n this.downloader = arg0.download;\n this.disposer = arg0.dispose;\n break;\n }\n case 'gpu-buffer': {\n if (type !== 'float32' &&\n type !== 'float16' &&\n type !== 'int32' &&\n type !== 'int64' &&\n type !== 'uint32' &&\n type !== 'uint8' &&\n type !== 'bool' &&\n type !== 'uint4' &&\n type !== 'int4') {\n throw new TypeError(`unsupported type \"${type}\" to create tensor from gpu buffer`);\n }\n this.gpuBufferData = arg0.gpuBuffer;\n this.downloader = arg0.download;\n this.disposer = arg0.dispose;\n break;\n }\n case 'ml-tensor': {\n if (type !== 'float32' &&\n type !== 'float16' &&\n type !== 'int32' &&\n type !== 'int64' &&\n type !== 'uint32' &&\n type !== 'uint64' &&\n type !== 'int8' &&\n type !== 'uint8' &&\n type !== 'bool') {\n throw new TypeError(`unsupported type \"${type}\" to create tensor from MLTensor`);\n }\n this.mlTensorData = arg0.mlTensor;\n this.downloader = arg0.download;\n this.disposer = arg0.dispose;\n break;\n }\n default:\n throw new Error(`Tensor constructor: unsupported location '${this.dataLocation}'`);\n }\n }\n else {\n //\n // constructing tensor of location 'cpu'\n //\n let data;\n let maybeDims;\n // check whether arg0 is type or data\n if (typeof arg0 === 'string') {\n //\n // Override: constructor(type, data, ...)\n //\n type = arg0;\n maybeDims = arg2;\n if (arg0 === 'string') {\n // string tensor\n if (!Array.isArray(arg1)) {\n throw new TypeError(\"A string tensor's data must be a string array.\");\n }\n // we don't check whether every element in the array is string; this is too slow. we assume it's correct and\n // error will be populated at inference\n data = arg1;\n }\n else {\n // numeric tensor\n const typedArrayConstructor = NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.get(arg0);\n if (typedArrayConstructor === undefined) {\n throw new TypeError(`Unsupported tensor type: ${arg0}.`);\n }\n if (Array.isArray(arg1)) {\n if ((arg0 === 'float16' && typedArrayConstructor === Uint16Array) || arg0 === 'uint4' || arg0 === 'int4') {\n // - 'float16':\n // When no Float16Array polyfill is used, we cannot create 'float16' tensor from number array.\n //\n // Throw error here because when user try to use number array as data,\n // e.g. new Tensor('float16', [1, 2, 3, 4], dims)), it will actually call\n // Uint16Array.from(arg1) which generates wrong data.\n //\n // - 'uint4' and 'int4':\n // Uint8Array.from(arg1) will generate wrong data for 'uint4' and 'int4' tensor.\n //\n throw new TypeError(`Creating a ${arg0} tensor from number array is not supported. Please use ${typedArrayConstructor.name} as data.`);\n }\n else if (arg0 === 'uint64' || arg0 === 'int64') {\n // use 'as any' here because:\n // 1. TypeScript's check on type of 'Array.isArray()' does not work with readonly arrays.\n // see https://github.com/microsoft/TypeScript/issues/17002\n // 2. TypeScript's check on union type of '(BigInt64ArrayConstructor|BigUint64ArrayConstructor).from()'\n // does not accept parameter mapFn.\n // 3. parameters of 'SupportedTypedArrayConstructors.from()' does not match the requirement of the union\n // type.\n // assume 'arg1' is of type \"readonly number[]|readonly bigint[]\" here.\n // eslint-disable-next-line @typescript-eslint/no-explicit-any\n data = typedArrayConstructor.from(arg1, BigInt);\n }\n else {\n // assume 'arg1' is of type \"readonly number[]\" here.\n // eslint-disable-next-line @typescript-eslint/no-explicit-any\n data = typedArrayConstructor.from(arg1);\n }\n }\n else if (arg1 instanceof typedArrayConstructor) {\n data = arg1;\n }\n else if (arg1 instanceof Uint8ClampedArray) {\n if (arg0 === 'uint8') {\n data = Uint8Array.from(arg1);\n }\n else {\n throw new TypeError(`A Uint8ClampedArray tensor's data must be type of uint8`);\n }\n }\n else {\n throw new TypeError(`A ${type} tensor's data must be type of ${typedArrayConstructor}`);\n }\n }\n }\n else {\n //\n // Override: constructor(data, ...)\n //\n maybeDims = arg1;\n if (Array.isArray(arg0)) {\n // only boolean[] and string[] is supported\n if (arg0.length === 0) {\n throw new TypeError('Tensor type cannot be inferred from an empty array.');\n }\n const firstElementType = typeof arg0[0];\n if (firstElementType === 'string') {\n type = 'string';\n data = arg0;\n }\n else if (firstElementType === 'boolean') {\n type = 'bool';\n // 'arg0' is of type 'boolean[]'. Uint8Array.from(boolean[]) actually works, but typescript thinks this is\n // wrong type. We use 'as any' to make it happy.\n // eslint-disable-next-line @typescript-eslint/no-explicit-any\n data = Uint8Array.from(arg0);\n }\n else {\n throw new TypeError(`Invalid element type of data array: ${firstElementType}.`);\n }\n }\n else if (arg0 instanceof Uint8ClampedArray) {\n type = 'uint8';\n data = Uint8Array.from(arg0);\n }\n else {\n // get tensor type from TypedArray\n const mappedType = NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.get(arg0.constructor);\n if (mappedType === undefined) {\n throw new TypeError(`Unsupported type for tensor data: ${arg0.constructor}.`);\n }\n type = mappedType;\n data = arg0;\n }\n }\n // type and data is processed, now processing dims\n if (maybeDims === undefined) {\n // assume 1-D tensor if dims omitted\n maybeDims = [data.length];\n }\n else if (!Array.isArray(maybeDims)) {\n throw new TypeError(\"A tensor's dims must be a number array\");\n }\n dims = maybeDims;\n this.cpuData = data;\n this.dataLocation = 'cpu';\n }\n // perform check on dims\n const size = calculateSize(dims);\n // if data is on CPU, check whether data length matches tensor size\n if (this.cpuData && size !== this.cpuData.length) {\n if ((type === 'uint4' || type === 'int4') && Math.ceil(size / 2) === this.cpuData.length) {\n // for (u)int4, the data length is half of the tensor size. So we check this special case when size is odd.\n }\n else {\n throw new Error(`Tensor's size(${size}) does not match data length(${this.cpuData.length}).`);\n }\n }\n this.type = type;\n this.dims = dims;\n this.size = size;\n }\n // #endregion\n // #region factory\n static async fromImage(image, options) {\n return tensorFromImage(image, options);\n }\n static fromTexture(texture, options) {\n return tensorFromTexture(texture, options);\n }\n static fromGpuBuffer(gpuBuffer, options) {\n return tensorFromGpuBuffer(gpuBuffer, options);\n }\n static fromMLTensor(mlTensor, options) {\n return tensorFromMLTensor(mlTensor, options);\n }\n static fromPinnedBuffer(type, buffer, dims) {\n return tensorFromPinnedBuffer(type, buffer, dims);\n }\n // #endregion\n // #region conversions\n toDataURL(options) {\n return tensorToDataURL(this, options);\n }\n toImageData(options) {\n return tensorToImageData(this, options);\n }\n // #endregion\n // #region properties\n get data() {\n this.ensureValid();\n if (!this.cpuData) {\n throw new Error('The data is not on CPU. Use `getData()` to download GPU data to CPU, ' +\n 'or use `texture` or `gpuBuffer` property to access the GPU data directly.');\n }\n return this.cpuData;\n }\n get location() {\n return this.dataLocation;\n }\n get texture() {\n this.ensureValid();\n if (!this.gpuTextureData) {\n throw new Error('The data is not stored as a WebGL texture.');\n }\n return this.gpuTextureData;\n }\n get gpuBuffer() {\n this.ensureValid();\n if (!this.gpuBufferData) {\n throw new Error('The data is not stored as a WebGPU buffer.');\n }\n return this.gpuBufferData;\n }\n get mlTensor() {\n this.ensureValid();\n if (!this.mlTensorData) {\n throw new Error('The data is not stored as a WebNN MLTensor.');\n }\n return this.mlTensorData;\n }\n // #endregion\n // #region methods\n async getData(releaseData) {\n this.ensureValid();\n switch (this.dataLocation) {\n case 'cpu':\n case 'cpu-pinned':\n return this.data;\n case 'texture':\n case 'gpu-buffer':\n case 'ml-tensor': {\n if (!this.downloader) {\n throw new Error('The current tensor is not created with a specified data downloader.');\n }\n if (this.isDownloading) {\n throw new Error('The current tensor is being downloaded.');\n }\n try {\n this.isDownloading = true;\n const data = await this.downloader();\n this.downloader = undefined;\n this.dataLocation = 'cpu';\n this.cpuData = data;\n if (releaseData && this.disposer) {\n this.disposer();\n this.disposer = undefined;\n }\n return data;\n }\n finally {\n this.isDownloading = false;\n }\n }\n default:\n throw new Error(`cannot get data from location: ${this.dataLocation}`);\n }\n }\n dispose() {\n if (this.isDownloading) {\n throw new Error('The current tensor is being downloaded.');\n }\n if (this.disposer) {\n this.disposer();\n this.disposer = undefined;\n }\n this.cpuData = undefined;\n this.gpuTextureData = undefined;\n this.gpuBufferData = undefined;\n this.mlTensorData = undefined;\n this.downloader = undefined;\n this.isDownloading = undefined;\n this.dataLocation = 'none';\n }\n // #endregion\n // #region tensor utilities\n ensureValid() {\n if (this.dataLocation === 'none') {\n throw new Error('The tensor is disposed.');\n }\n }\n reshape(dims) {\n this.ensureValid();\n if (this.downloader || this.disposer) {\n throw new Error('Cannot reshape a tensor that owns GPU resource.');\n }\n return tensorReshape(this, dims);\n }\n}\n//# sourceMappingURL=tensor-impl.js.map", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nimport { Tensor } from './tensor-impl.js';\n/**\n * calculate size from dims.\n *\n * @param dims the dims array. May be an illegal input.\n */\nexport const calculateSize = (dims) => {\n let size = 1;\n for (let i = 0; i < dims.length; i++) {\n const dim = dims[i];\n if (typeof dim !== 'number' || !Number.isSafeInteger(dim)) {\n throw new TypeError(`dims[${i}] must be an integer, got: ${dim}`);\n }\n if (dim < 0) {\n throw new RangeError(`dims[${i}] must be a non-negative integer, got: ${dim}`);\n }\n size *= dim;\n }\n return size;\n};\n/**\n * implementation of Tensor.reshape()\n */\nexport const tensorReshape = (tensor, dims) => {\n switch (tensor.location) {\n case 'cpu':\n return new Tensor(tensor.type, tensor.data, dims);\n case 'cpu-pinned':\n return new Tensor({\n location: 'cpu-pinned',\n data: tensor.data,\n type: tensor.type,\n dims,\n });\n case 'texture':\n return new Tensor({\n location: 'texture',\n texture: tensor.texture,\n type: tensor.type,\n dims,\n });\n case 'gpu-buffer':\n return new Tensor({\n location: 'gpu-buffer',\n gpuBuffer: tensor.gpuBuffer,\n type: tensor.type,\n dims,\n });\n case 'ml-tensor':\n return new Tensor({\n location: 'ml-tensor',\n mlTensor: tensor.mlTensor,\n type: tensor.type,\n dims,\n });\n default:\n throw new Error(`tensorReshape: tensor location ${tensor.location} is not supported`);\n }\n};\n//# sourceMappingURL=tensor-utils-impl.js.map", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nimport { Tensor as TensorImpl } from './tensor-impl.js';\n// eslint-disable-next-line @typescript-eslint/naming-convention\nexport const Tensor = TensorImpl;\n//# sourceMappingURL=tensor.js.map", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nimport { env } from './env-impl.js';\n/**\n * @ignore\n */\nexport const TRACE = (deviceType, label) => {\n if (typeof env.trace === 'undefined' ? !env.wasm.trace : !env.trace) {\n return;\n }\n // eslint-disable-next-line no-console\n console.timeStamp(`${deviceType}::ORT::${label}`);\n};\nconst TRACE_FUNC = (msg, extraMsg) => {\n const stack = new Error().stack?.split(/\\r\\n|\\r|\\n/g) || [];\n let hasTraceFunc = false;\n for (let i = 0; i < stack.length; i++) {\n if (hasTraceFunc && !stack[i].includes('TRACE_FUNC')) {\n let label = `FUNC_${msg}::${stack[i].trim().split(' ')[1]}`;\n if (extraMsg) {\n label += `::${extraMsg}`;\n }\n TRACE('CPU', label);\n return;\n }\n if (stack[i].includes('TRACE_FUNC')) {\n hasTraceFunc = true;\n }\n }\n};\n/**\n * @ignore\n */\nexport const TRACE_FUNC_BEGIN = (extraMsg) => {\n if (typeof env.trace === 'undefined' ? !env.wasm.trace : !env.trace) {\n return;\n }\n TRACE_FUNC('BEGIN', extraMsg);\n};\n/**\n * @ignore\n */\nexport const TRACE_FUNC_END = (extraMsg) => {\n if (typeof env.trace === 'undefined' ? !env.wasm.trace : !env.trace) {\n return;\n }\n TRACE_FUNC('END', extraMsg);\n};\n//# sourceMappingURL=trace.js.map", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nimport { resolveBackendAndExecutionProviders } from './backend-impl.js';\nimport { Tensor } from './tensor.js';\nconst noBackendErrMsg = 'Training backend could not be resolved. ' + \"Make sure you're using the correct configuration & WebAssembly files.\";\nexport class TrainingSession {\n constructor(handler, hasOptimizerModel, hasEvalModel) {\n this.handler = handler;\n this.hasOptimizerModel = hasOptimizerModel;\n this.hasEvalModel = hasEvalModel;\n }\n get trainingInputNames() {\n return this.handler.inputNames;\n }\n get trainingOutputNames() {\n return this.handler.outputNames;\n }\n get evalInputNames() {\n if (this.hasEvalModel) {\n return this.handler.evalInputNames;\n }\n else {\n throw new Error('This training session has no evalModel loaded.');\n }\n }\n get evalOutputNames() {\n if (this.hasEvalModel) {\n return this.handler.evalOutputNames;\n }\n else {\n throw new Error('This training session has no evalModel loaded.');\n }\n }\n static async create(trainingOptions, sessionOptions) {\n const evalModel = trainingOptions.evalModel || '';\n const optimizerModel = trainingOptions.optimizerModel || '';\n const options = sessionOptions || {};\n // resolve backend, update session options with validated EPs, and create session handler\n const [backend, optionsWithValidatedEPs] = await resolveBackendAndExecutionProviders(options);\n if (backend.createTrainingSessionHandler) {\n const handler = await backend.createTrainingSessionHandler(trainingOptions.checkpointState, trainingOptions.trainModel, evalModel, optimizerModel, optionsWithValidatedEPs);\n return new TrainingSession(handler, !!trainingOptions.optimizerModel, !!trainingOptions.evalModel);\n }\n else {\n throw new Error(noBackendErrMsg);\n }\n }\n /**\n * Helper function for runTrainStep and future runStep methods that handles the type-narrowing conversion from\n * the given parameters to SessionHandler.FetchesType and RunOptions.\n *\n * @param inputNames the feeds object is checked that they contain all input names in the provided list of input\n * names.\n * @param outputNames the fetches object is checked that their keys match up with valid names in the list of output\n * names.\n * @param feeds the required input\n * @param arg1 narrowed & converted into the SessionHandler.FetchesType or RunOptions object\n * @param arg2 optional RunOptions object.\n * @returns\n */\n typeNarrowingForRunStep(inputNames, outputNames, feeds, arg1, arg2) {\n const fetches = {};\n let options = {};\n // check inputs\n if (typeof feeds !== 'object' || feeds === null || feeds instanceof Tensor || Array.isArray(feeds)) {\n throw new TypeError(\"'feeds' must be an object that use input names as keys and OnnxValue as corresponding values.\");\n }\n let isFetchesEmpty = true;\n // determine which override is being used\n if (typeof arg1 === 'object') {\n if (arg1 === null) {\n throw new TypeError('Unexpected argument[1]: cannot be null.');\n }\n if (arg1 instanceof Tensor) {\n throw new TypeError(\"'fetches' cannot be a Tensor\");\n }\n if (Array.isArray(arg1)) {\n if (arg1.length === 0) {\n throw new TypeError(\"'fetches' cannot be an empty array.\");\n }\n isFetchesEmpty = false;\n // output names\n for (const name of arg1) {\n if (typeof name !== 'string') {\n throw new TypeError(\"'fetches' must be a string array or an object.\");\n }\n if (outputNames.indexOf(name) === -1) {\n throw new RangeError(`'fetches' contains invalid output name: ${name}.`);\n }\n fetches[name] = null;\n }\n if (typeof arg2 === 'object' && arg2 !== null) {\n options = arg2;\n }\n else if (typeof arg2 !== 'undefined') {\n throw new TypeError(\"'options' must be an object.\");\n }\n }\n else {\n // decide whether arg1 is fetches or options\n // if any output name is present and its value is valid OnnxValue, we consider it fetches\n let isFetches = false;\n const arg1Keys = Object.getOwnPropertyNames(arg1);\n for (const name of outputNames) {\n if (arg1Keys.indexOf(name) !== -1) {\n const v = arg1[name];\n if (v === null || v instanceof Tensor) {\n isFetches = true;\n isFetchesEmpty = false;\n fetches[name] = v;\n }\n }\n }\n if (isFetches) {\n if (typeof arg2 === 'object' && arg2 !== null) {\n options = arg2;\n }\n else if (typeof arg2 !== 'undefined') {\n throw new TypeError(\"'options' must be an object.\");\n }\n }\n else {\n options = arg1;\n }\n }\n }\n else if (typeof arg1 !== 'undefined') {\n throw new TypeError(\"Unexpected argument[1]: must be 'fetches' or 'options'.\");\n }\n // check if all inputs are in feed\n for (const name of inputNames) {\n if (typeof feeds[name] === 'undefined') {\n throw new Error(`input '${name}' is missing in 'feeds'.`);\n }\n }\n // if no fetches is specified, we use the full output names list\n if (isFetchesEmpty) {\n for (const name of outputNames) {\n fetches[name] = null;\n }\n }\n return [fetches, options];\n }\n /**\n * Helper method for runTrainStep and any other runStep methods. Takes the ReturnType result from the SessionHandler\n * and changes it into a map of Tensors.\n *\n * @param results\n * @returns\n */\n convertHandlerReturnTypeToMapOfTensors(results) {\n const returnValue = {};\n for (const key in results) {\n if (Object.hasOwnProperty.call(results, key)) {\n const result = results[key];\n if (result instanceof Tensor) {\n returnValue[key] = result;\n }\n else {\n returnValue[key] = new Tensor(result.type, result.data, result.dims);\n }\n }\n }\n return returnValue;\n }\n async lazyResetGrad() {\n await this.handler.lazyResetGrad();\n }\n async runTrainStep(feeds, arg1, arg2) {\n const [fetches, options] = this.typeNarrowingForRunStep(this.trainingInputNames, this.trainingOutputNames, feeds, arg1, arg2);\n const results = await this.handler.runTrainStep(feeds, fetches, options);\n return this.convertHandlerReturnTypeToMapOfTensors(results);\n }\n async runOptimizerStep(options) {\n if (this.hasOptimizerModel) {\n await this.handler.runOptimizerStep(options || {});\n }\n else {\n throw new Error('This TrainingSession has no OptimizerModel loaded.');\n }\n }\n async runEvalStep(feeds, arg1, arg2) {\n if (this.hasEvalModel) {\n const [fetches, options] = this.typeNarrowingForRunStep(this.evalInputNames, this.evalOutputNames, feeds, arg1, arg2);\n const results = await this.handler.runEvalStep(feeds, fetches, options);\n return this.convertHandlerReturnTypeToMapOfTensors(results);\n }\n else {\n throw new Error('This TrainingSession has no EvalModel loaded.');\n }\n }\n async getParametersSize(trainableOnly = true) {\n return this.handler.getParametersSize(trainableOnly);\n }\n async loadParametersBuffer(array, trainableOnly = true) {\n const paramsSize = await this.getParametersSize(trainableOnly);\n // checking that the size of the Uint8Array is equivalent to the byte length of a Float32Array of the number\n // of parameters\n if (array.length !== 4 * paramsSize) {\n throw new Error('Size of the buffer passed into loadParametersBuffer must match the number of parameters in ' +\n 'the model. Please use getParametersSize method to check.');\n }\n return this.handler.loadParametersBuffer(array, trainableOnly);\n }\n async getContiguousParameters(trainableOnly = true) {\n return this.handler.getContiguousParameters(trainableOnly);\n }\n async release() {\n return this.handler.dispose();\n }\n}\n//# sourceMappingURL=training-session-impl.js.map", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\nimport { TrainingSession as TrainingSessionImpl } from './training-session-impl.js';\n// eslint-disable-next-line @typescript-eslint/naming-convention\nexport const TrainingSession = TrainingSessionImpl;\n//# sourceMappingURL=training-session.js.map", "// Copyright (c) Microsoft Corporation. All rights reserved.\n// Licensed under the MIT License.\n// This file is generated by /js/scripts/update-version.ts\n// Do not modify file content manually.\nexport const version = '1.20.1';\n//# sourceMappingURL=version.js.map", "/*!\n * ONNX Runtime Web v1.21.0-dev.20250206-d981b153d3\n * Copyright (c) Microsoft Corporation. All rights reserved.\n * Licensed under the MIT License.\n */\nvar Rn=Object.defineProperty;var Vp=Object.getOwnPropertyDescriptor;var Wp=Object.getOwnPropertyNames;var Lp=Object.prototype.hasOwnProperty;var Un=(e=>typeof require<\"u\"?require:typeof Proxy<\"u\"?new Proxy(e,{get:(t,r)=>(typeof require<\"u\"?require:t)[r]}):e)(function(e){if(typeof require<\"u\")return require.apply(this,arguments);throw Error('Dynamic require of \"'+e+'\" is not supported')});var U=(e,t)=>()=>(e&&(t=e(e=0)),t);var Ht=(e,t)=>{for(var r in t)Rn(e,r,{get:t[r],enumerable:!0})},Gp=(e,t,r,n)=>{if(t&&typeof t==\"object\"||typeof t==\"function\")for(let o of Wp(t))!Lp.call(e,o)&&o!==r&&Rn(e,o,{get:()=>t[o],enumerable:!(n=Vp(t,o))||n.enumerable});return e};var gr=e=>Gp(Rn({},\"__esModule\",{value:!0}),e);var br,St,Tt,Hp,Xi,Nn=U(()=>{\"use strict\";br=new Map,St=[],Tt=(e,t,r)=>{if(t&&typeof t.init==\"function\"&&typeof t.createInferenceSessionHandler==\"function\"){let n=br.get(e);if(n===void 0)br.set(e,{backend:t,priority:r});else{if(n.priority>r)return;if(n.priority===r&&n.backend!==t)throw new Error(`cannot register backend \"${e}\" using priority ${r}`)}if(r>=0){let o=St.indexOf(e);o!==-1&&St.splice(o,1);for(let i=0;i<St.length;i++)if(br.get(St[i]).priority<=r){St.splice(i,0,e);return}St.push(e)}return}throw new TypeError(\"not a valid backend\")},Hp=async e=>{let t=br.get(e);if(!t)return\"backend not found.\";if(t.initialized)return t.backend;if(t.aborted)return t.error;{let r=!!t.initPromise;try{return r||(t.initPromise=t.backend.init(e)),await t.initPromise,t.initialized=!0,t.backend}catch(n){return r||(t.error=`${n}`,t.aborted=!0),t.error}finally{delete t.initPromise}}},Xi=async e=>{let t=e.executionProviders||[],r=t.map(l=>typeof l==\"string\"?l:l.name),n=r.length===0?St:r,o,i=[],a=new Set;for(let l of n){let p=await Hp(l);typeof p==\"string\"?i.push({name:l,err:p}):(o||(o=p),o===p&&a.add(l))}if(!o)throw new Error(`no available backend found. 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t.map(r=>this.declareVariable(r,this.variableIndex++)).join(`\n`)}registerInternalVariable(t){if(t.usage!==\"internal\")throw new Error(\"cannot use input or output variable with registerInternalVariable(). use declareVariables() instead.\");this.internalVariables.push(t),this.appendVariableUniforms(t)}registerInternalVariables(...t){return t.forEach(r=>this.registerInternalVariable(r)),this}registerUniform(t,r,n=1){return this.uniforms.push({name:t,type:r,length:n}),this}registerUniforms(t){return this.uniforms=this.uniforms.concat(t),this}uniformDeclaration(){if(this.uniforms.length===0)return\"\";let t=[];for(let{name:r,type:n,length:o}of this.uniforms)if(o&&o>4)n===\"f16\"?t.push(`@align(16) ${r}:array<mat2x4<${n}>, ${Math.ceil(o/8)}>`):t.push(`${r}:array<vec4<${n}>, ${Math.ceil(o/4)}>`);else{let i=o==null||o===1?n:`vec${o}<${n}>`;t.push(`${r}:${i}`)}return`\n struct Uniforms { ${t.join(\", \")} };\n @group(0) @binding(${this.variableIndex}) var<uniform> uniforms: Uniforms;`}get additionalImplementations(){return this.uniformDeclaration()+this.variables.map(t=>t.impl()).join(`\n`)+this.internalVariables.map(t=>t.impl()).join(`\n`)}get variablesInfo(){if(this.uniforms.length===0)return;let t=r=>[12,10,1,6][[\"u32\",\"f16\",\"f32\",\"i32\"].indexOf(r)];return this.uniforms.map(r=>[t(r.type),r.length??1])}},rs=(e,t)=>new io(e,t)});var dm,ns,lm,cm,pm,mm,Pe,os,is,dt=U(()=>{\"use strict\";J();ne();xe();ae();dm=(e,t)=>{if(!e||e.length!==1)throw new Error(\"Transpose requires 1 input.\");if(t.length!==0&&t.length!==e[0].dims.length)throw new Error(`perm size ${t.length} does not match input rank ${e[0].dims.length}`)},ns=(e,t)=>t.length!==0?t:[...new Array(e).keys()].reverse(),lm=(e,t)=>k.sortBasedOnPerm(e,ns(e.length,t)),cm=(e,t,r,n)=>{let o=`fn perm(i: ${n.type.indices}) -> ${r.type.indices} {\n var a: ${r.type.indices};`;for(let i=0;i<t;++i)o+=`a[${e[i]}]=i[${i}];`;return o+=\"return a;}\"},pm=(e,t)=>{let r=[],n=[];for(let o=0;o<e.length;++o)e[o]!==1&&r.push(e[o]),e[t[o]]!==1&&n.push(t[o]);return{newShape:r,newPerm:n}},mm=(e,t)=>{let r=0;for(let n=0;n<e.length;++n)if(t[e[n]]!==1){if(e[n]<r)return!1;r=e[n]}return!0},Pe=(e,t)=>{let r=e.dataType,n=e.dims.length,o=ns(n,t),i=lm(e.dims,o),a=e.dims,d=i,l=n<2||mm(o,e.dims),p;if(l)return p=g=>{let x=E(\"input\",r,a,4),$=M(\"output\",r,d,4);return`\n ${g.registerUniform(\"output_size\",\"u32\").declareVariables(x,$)}\n ${g.mainStart()}\n ${g.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.output_size\")}\n output[global_idx] = input[global_idx];\n }`},{name:\"TransposeCopy\",shaderCache:{inputDependencies:[\"type\"]},getRunData:()=>{let g=k.size(i);return{outputs:[{dims:i,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(g/64/4)},programUniforms:[{type:12,data:Math.ceil(g/4)}]}},getShaderSource:p};let{newShape:m,newPerm:u}=pm(e.dims,o),h=k.areEqual(u,[2,3,1]),_=k.areEqual(u,[3,1,2]);if(m.length===2||h||_){a=h?[m[0],m[1]*m[2]]:_?[m[0]*m[1],m[2]]:m,d=[a[1],a[0]];let g=16;return p=x=>{let $=E(\"a\",r,a.length),v=M(\"output\",r,d.length);return`\n ${x.registerUniform(\"output_size\",\"u32\").declareVariables($,v)}\n var<workgroup> tile : array<array<${v.type.value}, ${g+1}>, ${g}>;\n ${x.mainStart([g,g,1])}\n let stride = (uniforms.output_shape[1] - 1) / ${g} + 1;\n let workgroup_id_x = workgroup_index % stride;\n let workgroup_id_y = workgroup_index / stride;\n let input_col = workgroup_id_y * ${g}u + local_id.x;\n let input_row = workgroup_id_x * ${g}u + local_id.y;\n if (input_row < uniforms.a_shape[0] && input_col < uniforms.a_shape[1]) {\n tile[local_id.y][local_id.x] = ${$.getByIndices(`${$.type.indices}(input_row, input_col)`)};\n }\n workgroupBarrier();\n\n let output_col = workgroup_id_x * ${g}u + local_id.x;\n let output_row = workgroup_id_y * ${g}u + local_id.y;\n if (output_row < uniforms.output_shape[0] && output_col < uniforms.output_shape[1]) {\n ${v.setByIndices(`${v.type.indices}(output_row, 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g=k.size(i);return{outputs:[{dims:i,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(g/64)},programUniforms:[{type:12,data:g},...N(a,d)]}},getShaderSource:p}},os=(e,t)=>{dm(e.inputs,t.perm),e.compute(Pe(e.inputs[0],t.perm))},is=e=>ee({perm:e.perm})});var fm,hm,gm,bm,ym,_m,wm,vm,$m,xm,rt,as,ss,us,ds,ls,cs,ps,ms,fs,hs,gs=U(()=>{\"use strict\";J();ne();ae();Lr();dt();fm={max:\"select(bestValue, candidate, candidate > bestValue)\",min:\"select(bestValue, candidate, candidate < bestValue)\",mean:\"bestValue + candidate\",sum:\"bestValue + candidate\",prod:\"bestValue * candidate\",sumSquare:\"bestValue + candidate * candidate\",logSumExp:\"bestValue + exp(candidate)\",l1:\"bestValue + abs(candidate)\",l2:\"bestValue + candidate * candidate\",logSum:\"bestValue + candidate\"},hm={max:\"select(bestValue, candidate, candidate > bestValue)\",min:\"select(bestValue, candidate, candidate < bestValue)\",mean:\"bestValue + candidate\",sum:\"bestValue + candidate\",prod:\"bestValue * 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n=0;n<t;++n)e.indexOf(n)===-1&&r.push(n);e.forEach(n=>r.push(n))}return r},xm=(e,t,r,n,o,i,a)=>{let d=r[0].dims,l=k.size(i),p=k.size(a),m=E(\"_A\",r[0].dataType,d),u=M(\"output\",o,i),h=64;l===1&&(h=256);let _=`\n var<workgroup> aBestValues : array<f32, ${h}>;\n `,y=g=>`\n ${g.registerUniform(\"reduceSize\",\"u32\").declareVariables(m,u)}\n ${_}\n fn DIV_CEIL(a : u32, b : u32) -> u32 {\n return ((a - 1u) / b + 1u);\n }\n ${g.mainStart(h)}\n\n let outputIndex = global_idx / ${h};\n let offset = outputIndex * uniforms.reduceSize;\n\n var bestValue = f32(${gm[n]});\n let Length = uniforms.reduceSize;\n for (var k = local_idx; k < Length; k = k + ${h}) {\n let candidate = f32(${m.getByOffset(\"offset + k\")});\n bestValue = ${fm[n]};\n }\n aBestValues[local_idx] = bestValue;\n workgroupBarrier();\n\n var reduceSize = min(Length, ${h}u);\n for (var currentSize = reduceSize / 2u; reduceSize > 1u;\n currentSize = reduceSize / 2u) {\n let interval = DIV_CEIL(reduceSize, 2u);\n if (local_idx < currentSize) {\n let candidate = aBestValues[local_idx + interval];\n bestValue = ${hm[n]};\n aBestValues[local_idx] = bestValue;\n }\n reduceSize = interval;\n workgroupBarrier();\n }\n\n if (local_idx == 0u) {\n ${u.setByOffset(\"outputIndex\",`${n===\"mean\"?`${u.type.storage}(bestValue / f32(uniforms.reduceSize))`:`${u.type.storage}(${bm[n]})`}`)};\n }\n }`;return{name:e,shaderCache:{hint:`${t};${h}`,inputDependencies:[\"type\"]},getShaderSource:y,getRunData:()=>({outputs:[{dims:i,dataType:o}],dispatchGroup:{x:l},programUniforms:[{type:12,data:p}]})}},rt=(e,t,r,n)=>{let o=e.inputs.length===1?r:uo(e.inputs,r),i=o.axes;i.length===0&&!o.noopWithEmptyAxes&&(i=e.inputs[0].dims.map((_,y)=>y));let a=k.normalizeAxes(i,e.inputs[0].dims.length),d=a,l=e.inputs[0],p=$m(d,e.inputs[0].dims.length);p.length>0&&(l=e.compute(Pe(e.inputs[0],p),{inputs:[0],outputs:[-1]})[0],d=ym(d.length,l.dims.length));let[m,u]=_m(l.dims,d),h=m;o.keepDims&&(h=wm(m,a)),e.compute(xm(t,o.cacheKey,[l],n,e.inputs[0].dataType,h,u),{inputs:[l]})},as=(e,t)=>{rt(e,\"ReduceMeanShared\",t,\"mean\")},ss=(e,t)=>{rt(e,\"ReduceL1Shared\",t,\"l1\")},us=(e,t)=>{rt(e,\"ReduceL2Shared\",t,\"l2\")},ds=(e,t)=>{rt(e,\"ReduceLogSumExpShared\",t,\"logSumExp\")},ls=(e,t)=>{rt(e,\"ReduceMaxShared\",t,\"max\")},cs=(e,t)=>{rt(e,\"ReduceMinShared\",t,\"min\")},ps=(e,t)=>{rt(e,\"ReduceProdShared\",t,\"prod\")},ms=(e,t)=>{rt(e,\"ReduceSumShared\",t,\"sum\")},fs=(e,t)=>{rt(e,\"ReduceSumSquareShared\",t,\"sumSquare\")},hs=(e,t)=>{rt(e,\"ReduceLogSumShared\",t,\"logSum\")}});var nt,Sm,Gr,uo,ot,Tm,Im,Cm,Am,km,Em,Pm,zm,Om,Dm,it,bs,ys,_s,ws,vs,$s,xs,Ss,Ts,Is,Lr=U(()=>{\"use 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a=[];for(let d=0;d<n.rank;d++)(i.indexOf(d)>=0||i.length===0)&&a.push(n.indicesSet(\"input_indices\",d,0));return[`${a.join(`\n`)}`,`var value = ${n.getByIndices(\"input_indices\")};`,`value = max(value, ${n.getByIndices(\"input_indices\")});`,\"\"]})},Em=(e,t)=>{nt(e.inputs),ot(e,\"ReduceMean\",t,(n,o,i)=>{let a=1;for(let d=0;d<n.rank;d++)(i.indexOf(d)>=0||i.length===0)&&(a*=e.inputs[0].dims[d]);return[\"var sum = f32(0);\",\"\",`sum += f32(${n.getByIndices(\"input_indices\")});`,`let value = ${o.type.value}(sum / ${a});`]})},Pm=(e,t)=>{nt(e.inputs),ot(e,\"ReduceMin\",t,(n,o,i)=>{let a=[];for(let d=0;d<n.rank;d++)(i.indexOf(d)>=0||i.length===0)&&a.push(`input_indices[${d}] = 0;`);return[`${a.join(`\n`)}`,`var value = ${n.getByIndices(\"input_indices\")};`,`value = min(value, ${n.getByIndices(\"input_indices\")});`,\"\"]})},zm=(e,t)=>{nt(e.inputs),ot(e,\"ReduceProd\",t,(n,o)=>[`var value = ${o.type.storage}(1);`,\"\",`value *= ${n.getByIndices(\"input_indices\")};`,\"\"])},Om=(e,t)=>{nt(e.inputs),ot(e,\"ReduceSum\",t,(n,o)=>[`var value = ${o.type.storage}(0);`,\"\",`value += ${n.getByIndices(\"input_indices\")};`,\"\"])},Dm=(e,t)=>{nt(e.inputs),ot(e,\"ReduceSumSquare\",t,(n,o)=>[`var t = ${o.type.value}(0); var value = ${o.type.value}(0);`,\"\",`t = ${n.getByIndices(\"input_indices\")}; value += t * t;`,\"\"])},it=(e,t,r)=>{if(t.length===0)return r;let n=1,o=1;for(let i=0;i<t.length;i++)t.indexOf(i)===-1?n*=e[i]:o*=e[i];return o<32&&n>1024},bs=(e,t)=>{it(e.inputs[0].dims,t.axes,t.noopWithEmptyAxes)?Em(e,t):as(e,t)},ys=(e,t)=>{it(e.inputs[0].dims,t.axes,t.noopWithEmptyAxes)?Im(e,t):ss(e,t)},_s=(e,t)=>{it(e.inputs[0].dims,t.axes,t.noopWithEmptyAxes)?Cm(e,t):us(e,t)},ws=(e,t)=>{it(e.inputs[0].dims,t.axes,t.noopWithEmptyAxes)?Am(e,t):ds(e,t)},vs=(e,t)=>{it(e.inputs[0].dims,t.axes,t.noopWithEmptyAxes)?km(e,t):ls(e,t)},$s=(e,t)=>{it(e.inputs[0].dims,t.axes,t.noopWithEmptyAxes)?Pm(e,t):cs(e,t)},xs=(e,t)=>{it(e.inputs[0].dims,t.axes,t.noopWithEmptyAxes)?zm(e,t):ps(e,t)},Ss=(e,t)=>{it(e.inputs[0].dims,t.axes,t.noopWithEmptyAxes)?Om(e,t):ms(e,t)},Ts=(e,t)=>{it(e.inputs[0].dims,t.axes,t.noopWithEmptyAxes)?Dm(e,t):fs(e,t)},Is=(e,t)=>{it(e.inputs[0].dims,t.axes,t.noopWithEmptyAxes)?Tm(e,t):hs(e,t)}});var Cs,As,ks,lo,Es=U(()=>{\"use strict\";J();xe();Lr();Cs=e=>{if(!e||e.length===0||e.length>2)throw new Error(\"ArgMinMaxOp op requires 1 or 2 inputs.\");if(e[0].dataType!==1)throw new Error(\"Invalid input type.\")},As=(e,t)=>{Cs(e.inputs);let r=(n,o,i)=>{let a=[];for(let d=0;d<n.rank;d++)(i.indexOf(d)>=0||i.length===0)&&a.push(`input_indices[${d}] = 0;`);return[`${a.join(`\n`)}`,`var value = ${n.getByIndices(\"input_indices\")};\nvar best_index : i32 = 0;`,`if (${n.getByIndices(\"input_indices\")} ${t.selectLastIndex>0?\"<=\":\"<\"} value) {\n value = ${n.getByIndices(\"input_indices\")};\n best_index = i32(last_index);\n }`,\"\",o.setByOffset(\"global_idx\",\"best_index\")]};e.compute(Gr(\"ArgMin\",{hint:t.cacheKey,inputDependencies:[\"rank\"]},[e.inputs[0]],r,[t.axis],7,t.keepDims),{inputs:[0]})},ks=(e,t)=>{Cs(e.inputs);let r=(n,o,i)=>{let a=[];for(let d=0;d<n.rank;d++)(i.indexOf(d)>=0||i.length===0)&&a.push(`input_indices[${d}] = 0;`);return[`${a.join(`\n`)}`,`var value = ${n.getByIndices(\"input_indices\")};\nvar best_index : i32 = 0;`,`if (${n.getByIndices(\"input_indices\")} ${t.selectLastIndex>0?\">=\":\">\"} value) {\n value = ${n.getByIndices(\"input_indices\")};\n best_index = i32(last_index);\n }`,\"\",o.setByOffset(\"global_idx\",\"best_index\")]};e.compute(Gr(\"argMax\",{hint:t.cacheKey,inputDependencies:[\"rank\"]},[e.inputs[0]],r,[t.axis],7,t.keepDims),{inputs:[0]})},lo=e=>ee(e)});var Bm,co,Mm,Rm,Um,Ut,Nm,Ps,Hr=U(()=>{\"use strict\";J();ne();Ur();ae();Bm=(e,t)=>{let r=e[0],n=e[1],o=e[2],i=e[3],a=e[4],d=e[5];if(a&&d)throw new Error(\"Attention cannot have both past and attention_bias\");if(r.dims.length!==3)throw new Error('Input \"input\" must have 3 dimensions');let l=r.dims[0],p=r.dims[1],m=r.dims[2];if(o.dims.length!==1)throw new Error('Input \"bias\" is expected to have 1 dimensions');if(n.dims.length!==2)throw new Error('Input \"weights\" is expected to have 2 dimensions');if(n.dims[0]!==m)throw new Error(\"Input 1 dimension 0 should have same length as dimension 2 of input 0\");if(o.dims[0]!==n.dims[1])throw new Error('Input \"bias\" dimension 0 should have same length as dimension 1 of input \"weights\"');let u=o.dims[0]/3,h=u,_=h;if(t.qkvHiddenSizes.length>0){if(t.qkvHiddenSizes.length!==3)throw new Error(\"qkv_hidden_sizes attribute should have 3 elements\");for(let S of t.qkvHiddenSizes)if(S%t.numHeads!==0)throw new Error(\"qkv_hidden_sizes should be divisible by num_heads\");u=t.qkvHiddenSizes[0],h=t.qkvHiddenSizes[1],_=t.qkvHiddenSizes[2]}let y=p;if(u!==h)throw new Error(\"qkv_hidden_sizes first element should be same as the second\");if(o.dims[0]!==u+h+_)throw new Error('Input \"bias\" dimension 0 should have same length as sum of Q/K/V hidden sizes');let g=0;if(a){if(h!==_)throw new Error('Input \"past\" expect k_hidden_size == v_hidden_size');if(a.dims.length!==5)throw new Error('Input \"past\" must have 5 dimensions');if(a.dims[0]!==2)throw new Error('Input \"past\" first dimension must be 2');if(a.dims[1]!==l)throw new Error('Input \"past\" second dimension must be batch_size');if(a.dims[2]!==t.numHeads)throw new Error('Input \"past\" third dimension must be num_heads');if(a.dims[4]!==h/t.numHeads)throw new Error('Input \"past\" fifth dimension must be k_hidden_size / num_heads');t.pastPresentShareBuffer||(g=a.dims[3])}let x=y+g,$=-1,v=0;if(i)throw new Error(\"Mask not supported\");if(a)throw new Error(\"past is not supported\");if(d){if(d.dims.length!==4)throw new Error('Input \"attention_bias\" must have 4 dimensions');if(d.dims[0]!==l||d.dims[1]!==t.numHeads||d.dims[2]!==p||d.dims[3]!==x)throw new Error('Expect \"attention_bias\" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:l,sequenceLength:p,pastSequenceLength:g,kvSequenceLength:y,totalSequenceLength:x,maxSequenceLength:$,inputHiddenSize:m,hiddenSize:u,vHiddenSize:_,headSize:Math.floor(u/t.numHeads),vHeadSize:Math.floor(_/t.numHeads),numHeads:t.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:t.maskFilterValue,maskType:v,scale:t.scale,broadcastResPosBias:!1,passPastInKv:!1,qkvFormat:1}},co=(e,t,r)=>t&&e?`\n let total_sequence_length_input = u32(${t.getByOffset(\"0\")});\n let present_sequence_length = max(total_sequence_length_input, uniforms.past_sequence_length);\n let is_subsequent_prompt: bool = sequence_length > 1 && sequence_length != total_sequence_length_input;\n let is_first_prompt: bool = is_subsequent_prompt == false && sequence_length == total_sequence_length_input;\n total_sequence_length = u32(${e?.getByOffset(\"batchIdx\")}) + 1;\n var past_sequence_length: u32 = 0;\n if (is_first_prompt == false) {\n past_sequence_length = total_sequence_length - sequence_length;\n }\n `:`\n ${r?\"let past_sequence_length = uniforms.past_sequence_length\":\"\"};\n let present_sequence_length = total_sequence_length;\n `,Mm=(e,t,r,n,o,i,a,d)=>{let l=me(a?1:i),p=64,m=i/l;m<p&&(p=32);let u=Math.ceil(i/l/p),h=[{type:12,data:t},{type:12,data:r},{type:12,data:n},{type:12,data:o},{type:12,data:m},{type:12,data:u}],_=ye(e.dataType,l),y=Ee(1,l),g=[\"type\"];a&&g.push(\"type\"),d&&g.push(\"type\");let x=$=>{let v=M(\"x\",e.dataType,e.dims,l),S=[v],T=a?E(\"seq_lens\",a.dataType,a.dims):void 0;T&&S.push(T);let A=d?E(\"total_sequence_length_input\",d.dataType,d.dims):void 0;A&&S.push(A);let C=Ee(e.dataType),P=[{name:\"batch_size\",type:\"u32\"},{name:\"num_heads\",type:\"u32\"},{name:\"past_sequence_length\",type:\"u32\"},{name:\"sequence_length\",type:\"u32\"},{name:\"total_sequence_length\",type:\"u32\"},{name:\"elements_per_thread\",type:\"u32\"}];return`\n var<workgroup> thread_max: array<f32, ${p}>;\n var<workgroup> thread_sum: array<f32, ${p}>;\n ${$.registerUniforms(P).declareVariables(...S)}\n ${$.mainStart([p,1,1])}\n let batchIdx = workgroup_id.z / uniforms.num_heads;\n let headIdx = workgroup_id.z % uniforms.num_heads;\n let sequence_length = uniforms.sequence_length;\n var total_sequence_length = uniforms.total_sequence_length;\n ${co(T,A,!1)}\n let local_offset = local_idx * uniforms.elements_per_thread;\n let offset = (global_idx / ${p}) * uniforms.total_sequence_length + local_offset;\n let seq_causal_length = ${a?\"u32(past_sequence_length + workgroup_id.y + 1)\":\"total_sequence_length\"};\n var thread_max_vector = ${y}(-3.402823e+38f);\n for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {\n thread_max_vector = max(${y}(x[offset + i]), thread_max_vector);\n }\n thread_max[local_idx] = ${(()=>{switch(l){case 1:return\"thread_max_vector\";case 2:return\"max(thread_max_vector.x, thread_max_vector.y)\";case 4:return\"max(max(thread_max_vector.x, thread_max_vector.y), max(thread_max_vector.z, thread_max_vector.w))\";default:throw new Error(`Unsupported components: ${l}`)}})()};\n workgroupBarrier();\n\n var max_value = f32(-3.402823e+38f);\n for (var i = 0u; i < ${p}; i++) {\n max_value = max(thread_max[i], max_value);\n }\n\n var sum_vector = ${y}(0);\n for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {\n sum_vector += exp(${y}(x[offset + i]) - max_value);\n }\n thread_sum[local_idx] = ${(()=>{switch(l){case 1:return\"sum_vector\";case 2:return\"sum_vector.x + sum_vector.y\";case 4:return\"sum_vector.x + sum_vector.y + sum_vector.z + sum_vector.w\";default:throw new Error(`Unsupported components: ${l}`)}})()};\n workgroupBarrier();\n\n var sum: f32 = 0;\n for (var i = 0u; i < ${p}; i++) {\n sum += thread_sum[i];\n }\n\n if (sum == 0) {\n for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {\n x[offset + i] = ${v.type.value}(${C}(1.0) / ${C}(seq_causal_length));\n }\n } else {\n for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {\n var f32input = ${y}(x[offset + i]);\n x[offset + i] = ${v.type.value}(exp(f32input - max_value) / sum);\n }\n }\n ${a?`\n for (var total_seq_id: u32 = seq_causal_length; total_seq_id + local_offset < uniforms.total_sequence_length; total_seq_id++) {\n x[offset + total_seq_id] = ${v.type.value}(${C}(0));\n }`:\"\"};\n }`};return{name:\"AttentionProbsSoftmax\",shaderCache:{hint:`${p};${_};${l}`,inputDependencies:g},getShaderSource:x,getRunData:()=>({outputs:[],dispatchGroup:{x:Math.ceil(i/p),y:o,z:t*r},programUniforms:h})}},Rm=(e,t,r,n,o,i,a,d,l)=>{let p=a+i.kvSequenceLength,m=[i.batchSize,i.numHeads,i.sequenceLength,p],u=e>1&&n,h=i.kvNumHeads?i.kvNumHeads:i.numHeads,_=u?[i.batchSize,h,p,i.headSize]:void 0,y=i.nReps?i.nReps:1,g=i.scale===0?1/Math.sqrt(i.headSize):i.scale,x=me(i.headSize),$=i.headSize/x,v=12,S={x:Math.ceil(p/v),y:Math.ceil(i.sequenceLength/v),z:i.batchSize*i.numHeads},T=[{type:12,data:i.sequenceLength},{type:12,data:$},{type:12,data:p},{type:12,data:i.numHeads},{type:12,data:i.headSize},{type:1,data:g},{type:12,data:a},{type:12,data:i.kvSequenceLength},{type:12,data:y}],A=u&&n&&k.size(n.dims)>0,C=[\"type\",\"type\"];A&&C.push(\"type\"),o&&C.push(\"type\"),d&&C.push(\"type\"),l&&C.push(\"type\");let P=[{dims:m,dataType:t.dataType,gpuDataType:0}];u&&P.push({dims:_,dataType:t.dataType,gpuDataType:0});let D=R=>{let H=E(\"q\",t.dataType,t.dims,x),L=E(\"key\",r.dataType,r.dims,x),re=[H,L];if(A){let te=E(\"past_key\",n.dataType,n.dims,x);re.push(te)}o&&re.push(E(\"attention_bias\",o.dataType,o.dims));let V=d?E(\"seq_lens\",d.dataType,d.dims):void 0;V&&re.push(V);let K=l?E(\"total_sequence_length_input\",l.dataType,l.dims):void 0;K&&re.push(K);let we=M(\"output\",t.dataType,m),j=[we];u&&j.push(M(\"present_key\",t.dataType,_,x));let Q=Ee(1,x),ie=[{name:\"M\",type:\"u32\"},{name:\"K\",type:\"u32\"},{name:\"N\",type:\"u32\"},{name:\"num_heads\",type:\"u32\"},{name:\"head_size\",type:\"u32\"},{name:\"alpha\",type:\"f32\"},{name:\"past_sequence_length\",type:\"u32\"},{name:\"kv_sequence_length\",type:\"u32\"},{name:\"n_reps\",type:\"u32\"}];return`\n const TILE_SIZE = ${v}u;\n\n var<workgroup> tileQ: array<${H.type.storage}, ${v*v}>;\n var<workgroup> tileK: array<${H.type.storage}, ${v*v}>;\n ${R.registerUniforms(ie).declareVariables(...re,...j)}\n ${R.mainStart([v,v,1])}\n // x holds the N and y holds the M\n let headIdx = workgroup_id.z % uniforms.num_heads;\n let kvHeadIdx = ${y===1?\"headIdx\":\"headIdx / uniforms.n_reps\"};\n let kv_num_heads = ${y===1?\"uniforms.num_heads\":\"uniforms.num_heads / uniforms.n_reps\"};\n let batchIdx = workgroup_id.z / uniforms.num_heads;\n let m = workgroup_id.y * TILE_SIZE;\n let n = workgroup_id.x * TILE_SIZE;\n let sequence_length = uniforms.M;\n var total_sequence_length = uniforms.N;\n ${co(V,K,!0)}\n let absKvHeadIdx = batchIdx * kv_num_heads + kvHeadIdx;\n let qOffset = workgroup_id.z * uniforms.M * uniforms.K + m * uniforms.K;\n ${A&&u?\"let pastKeyOffset = absKvHeadIdx * uniforms.past_sequence_length * uniforms.K;\":\"\"};\n let kOffset = absKvHeadIdx * uniforms.kv_sequence_length * uniforms.K;\n ${u?\"let presentKeyOffset = absKvHeadIdx * uniforms.N * uniforms.K;\":\"\"}\n var value = ${Q}(0);\n for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {\n if (global_id.y < uniforms.M && w + local_id.x < uniforms.K) {\n tileQ[TILE_SIZE * local_id.y + local_id.x] = q[qOffset + local_id.y * uniforms.K + w + local_id.x];\n }\n if (n + local_id.y < uniforms.N && w + local_id.x < uniforms.K) {\n var idx = TILE_SIZE * local_id.y + local_id.x;\n ${(()=>A&&u?`\n if (n + local_id.y < past_sequence_length) {\n tileK[idx] = past_key[pastKeyOffset + (n + local_id.y) * uniforms.K + w + local_id.x];\n } else if (n + local_id.y - past_sequence_length < uniforms.kv_sequence_length) {\n tileK[idx] = key[kOffset + (n + local_id.y - past_sequence_length) * uniforms.K + w + local_id.x];\n }`:`\n if (n + local_id.y < uniforms.kv_sequence_length) {\n tileK[idx] = key[kOffset + (n + local_id.y) * uniforms.K + w + local_id.x];\n }`)()}\n ${u?`if (n + local_id.y < present_sequence_length) {\n present_key[presentKeyOffset + (n + local_id.y) * uniforms.K + w + local_id.x] = tileK[idx];\n }`:\"\"}\n }\n workgroupBarrier();\n\n for (var k: u32 = 0u; k < TILE_SIZE && w+k < uniforms.K; k++) {\n value += ${Q}(tileQ[TILE_SIZE * local_id.y + k] * tileK[TILE_SIZE * local_id.x + k]);\n }\n\n workgroupBarrier();\n }\n\n if (global_id.y < uniforms.M && global_id.x < total_sequence_length) {\n let headOffset = workgroup_id.z * uniforms.M * uniforms.N;\n let outputIdx = headOffset + global_id.y * uniforms.N + global_id.x;\n var sum: f32 = ${(()=>{switch(x){case 1:return\"value\";case 2:return\"value.x + value.y\";case 4:return\"value.x + value.y + value.z + value.w\";default:throw new Error(`Unsupported components: ${x}`)}})()};\n output[outputIdx] = ${we.type.value} (sum * uniforms.alpha) + ${o?\"attention_bias[outputIdx]\":\"0.0\"};\n }\n }`};return{name:\"AttentionProbs\",shaderCache:{hint:`${x};${o!==void 0};${n!==void 0};${e}`,inputDependencies:C},getRunData:()=>({outputs:P,dispatchGroup:S,programUniforms:T}),getShaderSource:D}},Um=(e,t,r,n,o,i,a=void 0,d=void 0)=>{let l=i+o.kvSequenceLength,p=o.nReps?o.nReps:1,m=o.vHiddenSize*p,u=e>1&&n,h=o.kvNumHeads?o.kvNumHeads:o.numHeads,_=u?[o.batchSize,h,l,o.headSize]:void 0,y=[o.batchSize,o.sequenceLength,m],g=12,x={x:Math.ceil(o.vHeadSize/g),y:Math.ceil(o.sequenceLength/g),z:o.batchSize*o.numHeads},$=[{type:12,data:o.sequenceLength},{type:12,data:l},{type:12,data:o.vHeadSize},{type:12,data:o.numHeads},{type:12,data:o.headSize},{type:12,data:m},{type:12,data:i},{type:12,data:o.kvSequenceLength},{type:12,data:p}],v=u&&n&&k.size(n.dims)>0,S=[\"type\",\"type\"];v&&S.push(\"type\"),a&&S.push(\"type\"),d&&S.push(\"type\");let T=[{dims:y,dataType:t.dataType,gpuDataType:0}];u&&T.push({dims:_,dataType:t.dataType,gpuDataType:0});let A=C=>{let P=E(\"probs\",t.dataType,t.dims),D=E(\"v\",r.dataType,r.dims),R=[P,D];v&&R.push(E(\"past_value\",n.dataType,n.dims));let H=a?E(\"seq_lens\",a.dataType,a.dims):void 0;a&&R.push(H);let L=d?E(\"total_sequence_length_input\",d.dataType,d.dims):void 0;d&&R.push(L);let V=[M(\"output\",t.dataType,y)];u&&V.push(M(\"present_value\",t.dataType,_));let K=[{name:\"M\",type:\"u32\"},{name:\"K\",type:\"u32\"},{name:\"N\",type:\"u32\"},{name:\"num_heads\",type:\"u32\"},{name:\"head_size\",type:\"u32\"},{name:\"v_hidden_size\",type:\"u32\"},{name:\"past_sequence_length\",type:\"u32\"},{name:\"kv_sequence_length\",type:\"u32\"},{name:\"n_reps\",type:\"u32\"}];return`\n const TILE_SIZE = ${g}u;\n var<workgroup> tileQ: array<${P.type.value}, ${g*g}>;\n var<workgroup> tileV: array<${P.type.value}, ${g*g}>;\n ${C.registerUniforms(K).declareVariables(...R,...V)}\n ${C.mainStart([g,g,1])}\n let headIdx = workgroup_id.z % uniforms.num_heads;\n let batchIdx = workgroup_id.z / uniforms.num_heads;\n let kvHeadIdx = ${p===1?\"headIdx\":\"headIdx / uniforms.n_reps\"};\n let kv_num_heads = ${p===1?\"uniforms.num_heads\":\"uniforms.num_heads / uniforms.n_reps\"};\n let m = global_id.y;\n let n = global_id.x;\n let sequence_length = uniforms.M;\n var total_sequence_length = uniforms.K;\n ${co(H,L,!0)}\n let offsetA = workgroup_id.z * uniforms.M * uniforms.K + m * uniforms.K;\n let absKvHeadIdx = batchIdx * kv_num_heads + kvHeadIdx; // kvHeadIdx is relative to the batch\n ${v&&u?\"let pastValueOffset = absKvHeadIdx * uniforms.N * uniforms.past_sequence_length + n;\":\"\"};\n let vOffset = absKvHeadIdx * uniforms.N * uniforms.kv_sequence_length + n;\n ${u?\"let presentValueOffset = absKvHeadIdx * uniforms.N * uniforms.K + n;\":\"\"}\n var value = ${P.type.storage}(0);\n for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {\n if (m < uniforms.M && w + local_id.x < uniforms.K) {\n tileQ[TILE_SIZE * local_id.y + local_id.x] = probs[offsetA + w + local_id.x];\n }\n if (n < uniforms.N && w + local_id.y < uniforms.K) {\n var idx = TILE_SIZE * local_id.y + local_id.x;\n ${(()=>v&&u?`\n if (w + local_id.y < past_sequence_length) {\n tileV[idx] = past_value[pastValueOffset + (w + local_id.y) * uniforms.N];\n } else if (w + local_id.y - past_sequence_length < uniforms.kv_sequence_length) {\n tileV[idx] = v[vOffset + (w + local_id.y - past_sequence_length) * uniforms.N];\n }\n `:`\n if (w + local_id.y < uniforms.kv_sequence_length) {\n tileV[idx] = v[vOffset + (w + local_id.y) * uniforms.N];\n }`)()}\n ${u?`\n if (w + local_id.y < present_sequence_length) {\n present_value[presentValueOffset + (w + local_id.y) * uniforms.N] = tileV[idx];\n }`:\"\"}\n }\n workgroupBarrier();\n for (var k: u32 = 0u; k < TILE_SIZE && w+k < total_sequence_length; k++) {\n value += tileQ[TILE_SIZE * local_id.y + k] * tileV[TILE_SIZE * k + local_id.x];\n }\n workgroupBarrier();\n }\n\n // we need to transpose output from BNSH_v to BSND_v\n if (m < uniforms.M && n < uniforms.N) {\n let outputIdx = batchIdx * uniforms.M * uniforms.v_hidden_size + m * uniforms.v_hidden_size\n + headIdx * uniforms.N + n;\n output[outputIdx] = value;\n }\n }`};return{name:\"AttentionScore\",shaderCache:{hint:`${n!==void 0};${e}`,inputDependencies:S},getRunData:()=>({outputs:T,dispatchGroup:x,programUniforms:$}),getShaderSource:A}},Ut=(e,t,r,n,o,i,a,d,l,p,m=void 0,u=void 0)=>{let h=Math.min(e.outputCount,1+(a?1:0)+(d?1:0)),_=h>1?p.pastSequenceLength:0,y=_+p.kvSequenceLength,g=l&&k.size(l.dims)>0?l:void 0,x=[t,r];h>1&&a&&k.size(a.dims)>0&&x.push(a),g&&x.push(g),m&&x.push(m),u&&x.push(u);let $=e.compute(Rm(h,t,r,a,g,p,_,m,u),{inputs:x,outputs:h>1?[-1,1]:[-1]})[0];e.compute(Mm($,p.batchSize,p.numHeads,_,p.sequenceLength,y,m,u),{inputs:m&&u?[$,m,u]:[$],outputs:[]});let v=[$,n];h>1&&d&&k.size(d.dims)>0&&v.push(d),m&&v.push(m),u&&v.push(u),e.compute(Um(h,$,n,d,p,_,m,u),{inputs:v,outputs:h>1?[0,2]:[0]})},Nm=(e,t)=>{let r=[t.batchSize,t.numHeads,t.sequenceLength,t.headSize],n=t.sequenceLength,o=t.inputHiddenSize,i=t.headSize,a=12,d={x:Math.ceil(t.headSize/a),y:Math.ceil(t.sequenceLength/a),z:t.batchSize*t.numHeads},l=[e.inputs[0],e.inputs[1],e.inputs[2]],p=[{type:12,data:n},{type:12,data:o},{type:12,data:i},{type:12,data:t.numHeads},{type:12,data:t.headSize},{type:12,data:t.hiddenSize},{type:12,data:t.hiddenSize+t.hiddenSize+t.vHiddenSize}],m=u=>{let h=M(\"output_q\",l[0].dataType,r),_=M(\"output_k\",l[0].dataType,r),y=M(\"output_v\",l[0].dataType,r),g=E(\"input\",l[0].dataType,l[0].dims),x=E(\"weight\",l[1].dataType,l[1].dims),$=E(\"bias\",l[2].dataType,l[2].dims),v=g.type.storage,S=[{name:\"M\",type:\"u32\"},{name:\"K\",type:\"u32\"},{name:\"N\",type:\"u32\"},{name:\"num_heads\",type:\"u32\"},{name:\"head_size\",type:\"u32\"},{name:\"hidden_size\",type:\"u32\"},{name:\"ldb\",type:\"u32\"}];return`\n const TILE_SIZE = ${a}u;\n var<workgroup> tileInput: array<${v}, ${a*a}>;\n var<workgroup> tileWeightQ: array<${v}, ${a*a}>;\n var<workgroup> tileWeightK: array<${v}, ${a*a}>;\n var<workgroup> tileWeightV: array<${v}, ${a*a}>;\n ${u.registerUniforms(S).declareVariables(g,x,$,h,_,y)}\n ${u.mainStart([a,a,1])}\n let batchIndex = workgroup_id.z / uniforms.num_heads;\n let headNumber = workgroup_id.z % uniforms.num_heads;\n let m = global_id.y;\n let n = global_id.x;\n\n let inputOffset = batchIndex * (uniforms.M * uniforms.K) + m * uniforms.K;\n let biasOffsetQ = headNumber * uniforms.head_size;\n let biasOffsetK = uniforms.hidden_size + biasOffsetQ;\n let biasOffsetV = uniforms.hidden_size + biasOffsetK;\n\n var valueQ = ${v}(0);\n var valueK = ${v}(0);\n var valueV = ${v}(0);\n for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {\n if (m < uniforms.M && w + local_id.x < uniforms.K) {\n tileInput[TILE_SIZE * local_id.y + local_id.x] = input[inputOffset + w + local_id.x];\n }\n if (n < uniforms.N && w + local_id.y < uniforms.K) {\n let offset = n + (w + local_id.y) * uniforms.ldb;\n tileWeightQ[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetQ + offset];\n tileWeightK[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetK + offset];\n tileWeightV[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetV + offset];\n }\n workgroupBarrier();\n for (var k: u32 = 0u; k<TILE_SIZE && w+k < uniforms.K; k++) {\n let inputTileOffset = TILE_SIZE * local_id.y + k;\n let weightTileOffset = TILE_SIZE * k + local_id.x;\n valueQ += tileInput[inputTileOffset] * tileWeightQ[weightTileOffset];\n valueK += tileInput[inputTileOffset] * tileWeightK[weightTileOffset];\n valueV += tileInput[inputTileOffset] * tileWeightV[weightTileOffset];\n }\n\n workgroupBarrier();\n }\n\n let headOffset = (m * uniforms.N + n) % uniforms.head_size;\n valueQ += bias[headOffset + biasOffsetQ];\n valueK += bias[headOffset + biasOffsetK];\n valueV += bias[headOffset + biasOffsetV];\n\n let offset = workgroup_id.z * uniforms.M * uniforms.N;\n if (m < uniforms.M && n < uniforms.N) {\n let outputIdx = offset + m * uniforms.N + n;\n output_q[outputIdx] = valueQ;\n output_k[outputIdx] = valueK;\n output_v[outputIdx] = valueV;\n }\n }`};return e.compute({name:\"AttentionPrepare\",shaderCache:{inputDependencies:[\"type\",\"type\",\"type\"]},getRunData:()=>({outputs:[{dims:r,dataType:e.inputs[0].dataType,gpuDataType:0},{dims:r,dataType:e.inputs[0].dataType,gpuDataType:0},{dims:r,dataType:e.inputs[0].dataType,gpuDataType:0}],dispatchGroup:d,programUniforms:p}),getShaderSource:m},{inputs:l,outputs:[-1,-1,-1]})},Ps=(e,t)=>{let r=Bm(e.inputs,t),[n,o,i]=Nm(e,r);return Ut(e,n,o,i,e.inputs[4],void 0,void 0,void 0,e.inputs[5],r)}});var Vm,Wm,Lm,zs,Os=U(()=>{\"use strict\";Le();J();ne();xe();ae();Vm=(e,t)=>{if(!e||e.length!==5)throw new Error(\"BatchNormalization requires 5 inputs\");let r=(n,o,i)=>{let a=o.length;if(a!==n.length)throw new Error(`${i}: num dimensions != ${a}`);o.forEach((d,l)=>{if(d!==n[l])throw new Error(`${i}: dim[${l}] do not match`)})};if(e[0].dims.length>1){let n=t.format===\"NHWC\"?t.spatial?e[0].dims.slice(-1):e[0].dims.slice(-1).concat(e[0].dims.slice(1,e[0].dims.length-1)):e[0].dims.slice(1,t.spatial?2:void 0);r(e[1].dims,n,\"Invalid input scale\"),r(e[2].dims,n,\"Invalid input B\"),r(e[3].dims,n,\"Invalid input mean\"),r(e[4].dims,n,\"Invalid input var\")}else r(e[1].dims,[1],\"Invalid input scale\"),r(e[2].dims,[1],\"Invalid input B\"),r(e[3].dims,[1],\"Invalid input mean\"),r(e[4].dims,[1],\"Invalid input var\")},Wm=(e,t)=>{let{epsilon:r,spatial:n,format:o}=t,i=e[0].dims,a=n?me(i[i.length-1]):1,d=o===\"NHWC\"&&i.length>1?a:1,l=k.size(i)/a,p=n,m=p?i.length:i,u=E(\"x\",e[0].dataType,e[0].dims,a),h=E(\"scale\",e[1].dataType,e[1].dims,d),_=E(\"bias\",e[2].dataType,e[2].dims,d),y=E(\"inputMean\",e[3].dataType,e[3].dims,d),g=E(\"inputVar\",e[4].dataType,e[4].dims,d),x=M(\"y\",e[0].dataType,m,a),$=()=>{let S=\"\";if(n)S=`let cOffset = ${i.length===1?\"0u\":o===\"NHWC\"?`outputIndices[${i.length-1}] / ${a}`:\"outputIndices[1]\"};`;else if(o===\"NCHW\")S=`\n ${x.indicesSet(\"outputIndices\",\"0\",\"0\")}\n let cOffset = ${x.indicesToOffset(\"outputIndices\")};`;else{S=`var cIndices = ${h.type.indices}(0);\n cIndices[0] = outputIndices[${i.length-1}];`;for(let T=1;T<h.rank;T++)S+=`cIndices[${T}] = outputIndices[${T}];`;S+=`let cOffset = ${h.indicesToOffset(\"cIndices\")};`}return S},v=S=>`\n const epsilon = ${r};\n ${S.registerUniform(\"outputSize\",\"u32\").declareVariables(u,h,_,y,g,x)}\n ${S.mainStart()}\n ${S.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.outputSize\")}\n var outputIndices = ${x.offsetToIndices(`global_idx * ${a}`)};\n ${$()}\n let scale = ${h.getByOffset(\"cOffset\")};\n let bias = ${_.getByOffset(\"cOffset\")};\n let inputMean = ${y.getByOffset(\"cOffset\")};\n let inputVar = ${g.getByOffset(\"cOffset\")};\n let x = ${u.getByOffset(\"global_idx\")};\n let value = (x - inputMean) * inverseSqrt(inputVar + epsilon) * scale + bias;\n ${x.setByOffset(\"global_idx\",\"value\")}\n }`;return{name:\"BatchNormalization\",shaderCache:{hint:`${t.epsilon}_${t.format}_${n}_${a}`,inputDependencies:p?[\"rank\",\"type\",\"type\",\"type\",\"type\"]:void 0},getShaderSource:v,getRunData:()=>({outputs:[{dims:e[0].dims,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:p?[{type:12,data:l},...N(i)]:[{type:12,data:l}]})}},Lm=e=>ee(e),zs=(e,t)=>{let{inputs:r,outputCount:n}=e,o=Lm({...t,outputCount:n});if(_e.webgpu.validateInputContent&&Vm(r,o),t.trainingMode)throw new Error(\"BatchNormalization trainingMode is not supported yet.\");e.compute(Wm(r,o))}});var Gm,Hm,Ds,Bs=U(()=>{\"use strict\";ne();ae();Gm=e=>{if(e[0].dims.length!==3)throw new Error(\"input should have 3 dimensions\");if(![320,640,1280].includes(e[0].dims[2]))throw new Error(\"number of channels should be 320, 640 or 1280\");if(e[1].dims.length!==1)throw new Error(\"bias is expected to have 1 dimensions\");if(e[0].dims[2]!==e[1].dims[0])throw new Error(\"last dimension of input and bias are not the same\")},Hm=e=>{let t=e[0].dims,r=e[0].dims[2],n=k.size(t)/4,o=e[0].dataType,i=E(\"input\",o,t,4),a=E(\"bias\",o,[r],4),d=E(\"residual\",o,t,4),l=M(\"output\",o,t,4);return{name:\"BiasAdd\",getRunData:()=>({outputs:[{dims:t,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(n/64)}}),getShaderSource:m=>`\n const channels = ${r}u / 4;\n ${m.declareVariables(i,a,d,l)}\n\n ${m.mainStart()}\n ${m.guardAgainstOutOfBoundsWorkgroupSizes(n)}\n let value = ${i.getByOffset(\"global_idx\")}\n + ${a.getByOffset(\"global_idx % channels\")} + ${d.getByOffset(\"global_idx\")};\n ${l.setByOffset(\"global_idx\",\"value\")}\n }`}},Ds=e=>{Gm(e.inputs),e.compute(Hm(e.inputs))}});var Fm,fe,Ms,Rs,Us,Ns,Vs,Ws,Ls,Gs,Hs,qm,Fs,qs,Ks,js,Qt,Ys,Fr,Zs,Qs,Xs,Js,eu,tu,ru,nu,ou,iu,au,su,uu,du,lu,cu,pu,mu,po,mo,fu,hu,gu,Km,jm,bu,qr=U(()=>{\"use strict\";J();ne();xe();ae();Fm=(e,t,r,n,o,i,a)=>{let d=Math.ceil(t/4),l=\"\";typeof o==\"string\"?l=`${o}(a)`:l=o(\"a\");let p=E(\"inputData\",r,[d],4),m=M(\"outputData\",n,[d],4),u=[{name:\"vec_size\",type:\"u32\"}];return a&&u.push(...a),`\n ${e.registerUniforms(u).declareVariables(p,m)}\n\n ${i??\"\"}\n\n ${e.mainStart()}\n ${e.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.vec_size\")}\n\n let a = ${p.getByOffset(\"global_idx\")};\n ${m.setByOffset(\"global_idx\",l)}\n }`},fe=(e,t,r,n,o,i=e.dataType,a,d)=>{let l=[{type:12,data:Math.ceil(k.size(e.dims)/4)}];return a&&l.push(...a),{name:t,shaderCache:{hint:o,inputDependencies:[\"type\"]},getShaderSource:p=>Fm(p,k.size(e.dims),e.dataType,i,r,n,d),getRunData:p=>({outputs:[{dims:e.dims,dataType:i}],dispatchGroup:{x:Math.ceil(k.size(p[0].dims)/64/4)},programUniforms:l})}},Ms=e=>{e.compute(fe(e.inputs[0],\"Abs\",\"abs\"))},Rs=e=>{e.compute(fe(e.inputs[0],\"Acos\",\"acos\"))},Us=e=>{e.compute(fe(e.inputs[0],\"Acosh\",\"acosh\"))},Ns=e=>{e.compute(fe(e.inputs[0],\"Asin\",\"asin\"))},Vs=e=>{e.compute(fe(e.inputs[0],\"Asinh\",\"asinh\"))},Ws=e=>{e.compute(fe(e.inputs[0],\"Atan\",\"atan\"))},Ls=e=>{e.compute(fe(e.inputs[0],\"Atanh\",\"atanh\"))},Gs=e=>ee(e),Hs=(e,t)=>{let r;switch(t.to){case 10:r=\"vec4<f16>\";break;case 1:r=\"vec4<f32>\";break;case 12:r=\"vec4<u32>\";break;case 6:r=\"vec4<i32>\";break;case 9:r=\"vec4<bool>\";break;default:throw new RangeError(`not supported type (specified in attribute 'to' from 'Cast' operator): ${t.to}`)}e.compute(fe(e.inputs[0],\"Cast\",r,void 0,t.cacheKey,t.to))},qm=e=>{let t,r,n=e.length>=2&&e[1].data!==0,o=e.length>=3&&e[2].data!==0;switch(e[0].dataType){case 1:t=n?e[1].getFloat32Array()[0]:-34028234663852886e22,r=o?e[2].getFloat32Array()[0]:34028234663852886e22;break;case 10:t=n?e[1].getUint16Array()[0]:64511,r=o?e[2].getUint16Array()[0]:31743;break;default:throw new Error(\"Unsupport data type\")}return ee({min:t,max:r})},Fs=(e,t)=>{let r=t||qm(e.inputs),n=Ee(e.inputs[0].dataType);e.compute(fe(e.inputs[0],\"Clip\",o=>`clamp(${o}, vec4<${n}>(uniforms.min), vec4<${n}>(uniforms.max))`,void 0,r.cacheKey,void 0,[{type:e.inputs[0].dataType,data:r.min},{type:e.inputs[0].dataType,data:r.max}],[{name:\"min\",type:n},{name:\"max\",type:n}]),{inputs:[0]})},qs=e=>{e.compute(fe(e.inputs[0],\"Ceil\",\"ceil\"))},Ks=e=>{e.compute(fe(e.inputs[0],\"Cos\",\"cos\"))},js=e=>{e.compute(fe(e.inputs[0],\"Cosh\",\"cosh\"))},Qt=e=>ee(e),Ys=(e,t)=>{let r=Ee(e.inputs[0].dataType);e.compute(fe(e.inputs[0],\"Elu\",n=>`elu_vf32(${n})`,`\n const elu_alpha_ = ${r}(${t.alpha});\n\n fn elu_f32(a: ${r}) -> ${r} {\n return select((exp(a) - 1.0) * elu_alpha_, a, a >= 0.0);\n }\n\n fn elu_vf32(v: vec4<${r}>) -> vec4<${r}> {\n return vec4(elu_f32(v.x), elu_f32(v.y), elu_f32(v.z), elu_f32(v.w));\n }`,t.cacheKey))},Fr=(e=\"f32\")=>`\nconst r0: ${e} = 0.3275911;\nconst r1: ${e} = 0.254829592;\nconst r2: ${e} = -0.284496736;\nconst r3: ${e} = 1.421413741;\nconst r4: ${e} = -1.453152027;\nconst r5: ${e} = 1.061405429;\n\nfn erf_vf32(v: vec4<${e}>) -> vec4<${e}> {\n let absv = abs(v);\n let x = 1.0 / (1.0 + r0 * absv);\n return sign(v) * (1.0 - ((((r5 * x + r4) * x + r3) * x + r2) * x + r1) * x * exp(-absv * absv));\n}`,Zs=e=>{let t=Ee(e.inputs[0].dataType);e.compute(fe(e.inputs[0],\"Erf\",r=>`erf_vf32(${r})`,Fr(t)))},Qs=e=>{e.compute(fe(e.inputs[0],\"Exp\",\"exp\"))},Xs=e=>{e.compute(fe(e.inputs[0],\"Floor\",\"floor\"))},Js=e=>{let t=Ee(e.inputs[0].dataType);e.compute(fe(e.inputs[0],\"Gelu\",r=>`0.5 * ${r} * (1.0 + erf_vf32(${r} * 0.7071067811865475))`,Fr(t)))},eu=(e,t)=>{let r=Ee(e.inputs[0].dataType);e.compute(fe(e.inputs[0],\"LeakyRelu\",n=>`select(leaky_relu_alpha_ * ${n}, ${n}, ${n} >= vec4<${r}>(0.0))`,`const leaky_relu_alpha_ = ${r}(${t.alpha});`,t.cacheKey))},tu=e=>{e.compute(fe(e.inputs[0],\"Not\",t=>`!${t}`))},ru=e=>{e.compute(fe(e.inputs[0],\"Neg\",t=>`-${t}`))},nu=e=>{e.compute(fe(e.inputs[0],\"Reciprocal\",t=>`1.0/${t}`))},ou=e=>{let t=Ee(e.inputs[0].dataType);e.compute(fe(e.inputs[0],\"Relu\",r=>`select(vec4<${t}>(0.0), ${r}, ${r} > vec4<${t}>(0.0))`))},iu=e=>{e.compute(fe(e.inputs[0],\"Sigmoid\",t=>`(1.0 / (1.0 + exp(-${t})))`))},au=e=>ee(e),su=(e,t)=>{let r=Ee(e.inputs[0].dataType);e.compute(fe(e.inputs[0],\"HardSigmoid\",n=>`max(vec4<${r}>(0.0), min(vec4<${r}>(1.0), ${t.alpha} * ${n} + vec4<${r}>(${t.beta})))`,void 0,t.cacheKey))},uu=e=>{e.compute(fe(e.inputs[0],\"Sin\",\"sin\"))},du=e=>{e.compute(fe(e.inputs[0],\"Sinh\",\"sinh\"))},lu=e=>{e.compute(fe(e.inputs[0],\"Sqrt\",\"sqrt\"))},cu=e=>{e.compute(fe(e.inputs[0],\"Tan\",\"tan\"))},pu=e=>`sign(${e}) * (1 - exp(-2 * abs(${e}))) / (1 + exp(-2 * abs(${e})))`,mu=e=>{e.compute(fe(e.inputs[0],\"Tanh\",pu))},po=(e=\"f32\")=>`\nconst fast_gelu_a: ${e} = 0.5;\nconst fast_gelu_b: ${e} = 0.7978845608028654;\nconst fast_gelu_c: ${e} = 0.035677408136300125;\n\nfn tanh_v(v: vec4<${e}>) -> vec4<${e}> {\n return ${pu(\"v\")};\n}\n`,mo=e=>`(fast_gelu_a + fast_gelu_a * tanh_v(${e} * (fast_gelu_c * ${e} * ${e} + fast_gelu_b))) * ${e}`,fu=e=>{let t=Ee(e.inputs[0].dataType);e.compute(fe(e.inputs[0],\"FastGelu\",mo,po(t),void 0,e.inputs[0].dataType))},hu=(e,t)=>{let r=Ee(e.inputs[0].dataType);return e.compute(fe(e.inputs[0],\"ThresholdedRelu\",n=>`select(vec4<${r}>(0.0), ${n}, ${n} > thresholded_relu_alpha_)`,`const thresholded_relu_alpha_ = vec4<${r}>(${t.alpha});`,t.cacheKey)),0},gu=e=>{e.compute(fe(e.inputs[0],\"Log\",\"log\"))},Km=(e,t)=>`\nconst alpha = vec4<${e}>(${t});\nconst one = ${e}(1.0);\nconst zero = ${e}(0.0);\n\nfn quick_gelu_impl(x: vec4<${e}>) -> vec4<${e}> {\n let v = x *alpha;\n var x1 : vec4<${e}>;\n for (var i = 0; i < 4; i = i + 1) {\n if (v[i] >= zero) {\n x1[i] = one / (one + exp(-v[i]));\n } else {\n x1[i] = one - one / (one + exp(v[i]));\n }\n }\n return x * x1;\n}\n`,jm=e=>`quick_gelu_impl(${e})`,bu=(e,t)=>{let r=Ee(e.inputs[0].dataType);e.compute(fe(e.inputs[0],\"QuickGelu\",jm,Km(r,t.alpha),t.cacheKey,e.inputs[0].dataType))}});var Ym,Zm,_u,wu=U(()=>{\"use strict\";ne();ae();qr();Ym=e=>{if(e[0].dims.length!==3)throw new Error(\"input should have 3 dimensions\");if(![2560,5120,10240].includes(e[0].dims[2]))throw new Error(\"hidden state should be 2560, 5120 or 10240\");if(e[1].dims.length!==1)throw new Error(\"bias is expected to have 1 dimensions\");if(e[0].dims[2]!==e[1].dims[0])throw new Error(\"last dimension of input and bias are not the same\")},Zm=e=>{let t=e[0].dims.slice();t[2]=t[2]/2;let r=E(\"input\",e[0].dataType,e[0].dims,4),n=E(\"bias\",e[0].dataType,[e[0].dims[2]],4),o=M(\"output\",e[0].dataType,t,4),i=k.size(t)/4,a=ye(e[0].dataType);return{name:\"BiasSplitGelu\",getRunData:()=>({outputs:[{dims:t,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(i/64)}}),getShaderSource:l=>`\n const M_SQRT2 = sqrt(2.0);\n const halfChannels = ${e[0].dims[2]/4/2}u;\n\n ${l.declareVariables(r,n,o)}\n\n ${Fr(a)}\n\n ${l.mainStart()}\n ${l.guardAgainstOutOfBoundsWorkgroupSizes(i)}\n let biasIdx = global_idx % halfChannels;\n let batchIndex = global_idx / halfChannels;\n let inputOffset = biasIdx + batchIndex * halfChannels * 2;\n let valueLeft = input[inputOffset] + bias[biasIdx];\n let valueRight = input[inputOffset + halfChannels] + bias[biasIdx + halfChannels];\n let geluRight = valueRight * 0.5 * (erf_vf32(valueRight / M_SQRT2) + 1);\n\n ${o.setByOffset(\"global_idx\",\"valueLeft * geluRight\")}\n }`}},_u=e=>{Ym(e.inputs),e.compute(Zm(e.inputs))}});var Qm,Xm,at,vu,$u,xu,Su,Tu,Iu,Cu,Au,ku,Eu,Pu=U(()=>{\"use strict\";J();ne();ae();Qm=(e,t,r,n,o,i,a,d,l,p,m,u)=>{let h,_;typeof d==\"string\"?h=_=(v,S)=>`${d}((${v}),(${S}))`:typeof d==\"function\"?h=_=d:(h=d.scalar,_=d.vector);let y=M(\"outputData\",m,n.length,4),g=E(\"aData\",l,t.length,4),x=E(\"bData\",p,r.length,4),$;if(o)if(i){let v=k.size(t)===1,S=k.size(r)===1,T=t.length>0&&t[t.length-1]%4===0,A=r.length>0&&r[r.length-1]%4===0;v||S?$=y.setByOffset(\"global_idx\",_(v?`${g.type.value}(${g.getByOffset(\"0\")}.x)`:g.getByOffset(\"global_idx\"),S?`${x.type.value}(${x.getByOffset(\"0\")}.x)`:x.getByOffset(\"global_idx\"))):$=`\n let outputIndices = ${y.offsetToIndices(\"global_idx * 4u\")};\n let offsetA = ${g.broadcastedIndicesToOffset(\"outputIndices\",y)};\n let offsetB = ${x.broadcastedIndicesToOffset(\"outputIndices\",y)};\n ${y.setByOffset(\"global_idx\",_(a||T?g.getByOffset(\"offsetA / 4u\"):`${g.type.value}(${g.getByOffset(\"offsetA / 4u\")}[offsetA % 4u])`,a||A?x.getByOffset(\"offsetB / 4u\"):`${x.type.value}(${x.getByOffset(\"offsetB / 4u\")}[offsetB % 4u])`))}\n `}else $=y.setByOffset(\"global_idx\",_(g.getByOffset(\"global_idx\"),x.getByOffset(\"global_idx\")));else{if(!i)throw new Error(\"no necessary to use scalar implementation for element-wise binary op implementation.\");let v=(S,T,A=\"\")=>{let C=`aData[indexA${T}][componentA${T}]`,P=`bData[indexB${T}][componentB${T}]`;return`\n let outputIndices${T} = ${y.offsetToIndices(`global_idx * 4u + ${T}u`)};\n let offsetA${T} = ${g.broadcastedIndicesToOffset(`outputIndices${T}`,y)};\n let offsetB${T} = ${x.broadcastedIndicesToOffset(`outputIndices${T}`,y)};\n let indexA${T} = offsetA${T} / 4u;\n let indexB${T} = offsetB${T} / 4u;\n let componentA${T} = offsetA${T} % 4u;\n let componentB${T} = offsetB${T} % 4u;\n ${S}[${T}] = ${A}(${h(C,P)});\n `};m===9?$=`\n var data = vec4<u32>(0);\n ${v(\"data\",0,\"u32\")}\n ${v(\"data\",1,\"u32\")}\n ${v(\"data\",2,\"u32\")}\n ${v(\"data\",3,\"u32\")}\n outputData[global_idx] = dot(vec4<u32>(0x1, 0x100, 0x10000, 0x1000000), vec4<u32>(data));`:$=`\n ${v(\"outputData[global_idx]\",0)}\n ${v(\"outputData[global_idx]\",1)}\n ${v(\"outputData[global_idx]\",2)}\n ${v(\"outputData[global_idx]\",3)}\n `}return`\n ${e.registerUniform(\"vec_size\",\"u32\").declareVariables(g,x,y)}\n\n ${u??\"\"}\n\n ${e.mainStart()}\n ${e.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.vec_size\")}\n ${$}\n }`},Xm=(e,t,r,n,o,i,a=r.dataType)=>{let d=r.dims.map(g=>Number(g)??1),l=n.dims.map(g=>Number(g)??1),p=!k.areEqual(d,l),m=d,u=k.size(d),h=!1,_=!1,y=[p];if(p){let g=tt.calcShape(d,l,!1);if(!g)throw new Error(\"Can't perform binary op on the given tensors\");m=g.slice(),u=k.size(m);let x=k.size(d)===1,$=k.size(l)===1,v=d.length>0&&d[d.length-1]%4===0,S=l.length>0&&l[l.length-1]%4===0;y.push(x),y.push($),y.push(v),y.push(S);let T=1;for(let A=1;A<m.length;A++){let C=d[d.length-A],P=l[l.length-A];if(C===P)T*=C;else break}T%4===0?(_=!0,h=!0):(x||$||v||S)&&(h=!0)}else h=!0;return y.push(h),{name:e,shaderCache:{hint:t+y.map(g=>g.toString()).join(\"_\"),inputDependencies:[\"rank\",\"rank\"]},getShaderSource:g=>Qm(g,d,l,m,h,p,_,o,r.dataType,n.dataType,a,i),getRunData:()=>({outputs:[{dims:m,dataType:a}],dispatchGroup:{x:Math.ceil(u/64/4)},programUniforms:[{type:12,data:Math.ceil(k.size(m)/4)},...N(d,l,m)]})}},at=(e,t,r,n,o,i)=>{e.compute(Xm(t,o??\"\",e.inputs[0],e.inputs[1],r,n,i))},vu=e=>{at(e,\"Add\",(t,r)=>`${t}+${r}`)},$u=e=>{at(e,\"Div\",(t,r)=>`${t}/${r}`)},xu=e=>{at(e,\"Equal\",{scalar:(t,r)=>`u32(${t}==${r})`,vector:(t,r)=>`vec4<u32>(${t}==${r})`},void 0,void 0,9)},Su=e=>{at(e,\"Mul\",(t,r)=>`${t}*${r}`)},Tu=e=>{let t=E(\"input\",e.inputs[0].dataType,e.inputs[0].dims).type.value;at(e,\"Pow\",{scalar:(n,o)=>`pow_custom(${n},${o})`,vector:(n,o)=>`pow_vector_custom(${n},${o})`},`\n fn pow_custom(a : ${t}, b : ${t}) -> ${t} {\n if (b == ${t}(0.0)) {\n return ${t}(1.0);\n } else if (a < ${t}(0.0) && f32(b) != floor(f32(b))) {\n return ${t}(pow(f32(a), f32(b))); // NaN\n }\n return select(sign(a), ${t}(1.0), round(f32(abs(b) % ${t}(2.0))) != 1.0) * ${t}(${t===\"i32\"?\"round\":\"\"}(pow(f32(abs(a)), f32(b))));\n }\n fn pow_vector_custom(a : vec4<${t}>, b : vec4<${t}>) -> vec4<${t}> {\n // TODO: implement vectorized pow\n return vec4<${t}>(pow_custom(a.x, b.x), pow_custom(a.y, b.y), pow_custom(a.z, b.z), pow_custom(a.w, b.w));\n }\n `)},Iu=e=>{at(e,\"Sub\",(t,r)=>`${t}-${r}`)},Cu=e=>{at(e,\"Greater\",{scalar:(t,r)=>`u32(${t}>${r})`,vector:(t,r)=>`vec4<u32>(${t}>${r})`},void 0,void 0,9)},Au=e=>{at(e,\"Less\",{scalar:(t,r)=>`u32(${t}<${r})`,vector:(t,r)=>`vec4<u32>(${t}<${r})`},void 0,void 0,9)},ku=e=>{at(e,\"GreaterOrEqual\",{scalar:(t,r)=>`u32(${t}>=${r})`,vector:(t,r)=>`vec4<u32>(${t}>=${r})`},void 0,void 0,9)},Eu=e=>{at(e,\"LessOrEqual\",{scalar:(t,r)=>`u32(${t}<=${r})`,vector:(t,r)=>`vec4<u32>(${t}<=${r})`},void 0,void 0,9)}});var ef,tf,rf,nf,zu,Ou,Du=U(()=>{\"use strict\";J();ne();xe();ae();ef=(e,t)=>{if(!e||e.length<1)throw new Error(\"too few inputs\");let r=0,n=e[r],o=n.dataType,i=n.dims.length;e.forEach((a,d)=>{if(d!==r){if(a.dataType!==o)throw new Error(\"input tensors should be one type\");if(a.dims.length!==i)throw new Error(\"input tensors should have the same shape\");a.dims.forEach((l,p)=>{if(p!==t&&l!==n.dims[p])throw new Error(\"non concat dimensions must match\")})}})},tf=(e,t)=>`\n fn calculateInputIndex(index: u32) -> u32 {\n let sizeInConcatAxis = array<u32, ${e}u>(${t});\n for (var i: u32 = 0u; i < ${e}; i += 1u ) {\n if (index < sizeInConcatAxis[i]) {\n return i;\n }\n }\n return ${e}u;\n }`,rf=(e,t)=>{let r=e.length,n=[];for(let o=0;o<r;++o){let i=t.setByOffset(\"global_idx\",e[o].getByIndices(\"indices\"));r===1?n.push(i):o===0?n.push(`if (inputIndex == ${o}u) { ${i} }`):o===r-1?n.push(`else { ${i} }`):n.push(`else if (inputIndex == ${o}) { ${i} }`)}return n.join(`\n`)},nf=(e,t,r,n)=>{let o=k.size(r),i=new Array(e.length),a=new Array(e.length),d=0,l=[],p=[],m=[{type:12,data:o}];for(let g=0;g<e.length;++g)d+=e[g].dims[t],i[g]=d,p.push(e[g].dims.length),a[g]=E(`input${g}`,n,p[g]),l.push(\"rank\"),m.push({type:12,data:i[g]});for(let g=0;g<e.length;++g)m.push(...N(e[g].dims));m.push(...N(r));let u=M(\"output\",n,r.length),h=u.indicesGet(\"indices\",t),_=Array.from(Array(i.length).keys()).map(g=>`uniforms.sizeInConcatAxis${g}`).join(\",\"),y=g=>`\n\n ${(()=>{g.registerUniform(\"outputSize\",\"u32\");for(let x=0;x<e.length;x++)g.registerUniform(`sizeInConcatAxis${x}`,\"u32\");return g.declareVariables(...a,u)})()}\n\n ${tf(i.length,_)}\n\n ${g.mainStart()}\n ${g.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.outputSize\")}\n\n var indices = ${u.offsetToIndices(\"global_idx\")};\n\n let inputIndex = calculateInputIndex(${h});\n if (inputIndex != 0u) {\n let sizeInConcatAxis = array<u32, ${i.length}u>(${_});\n ${h} -= sizeInConcatAxis[inputIndex - 1u];\n }\n\n ${rf(a,u)}\n }`;return{name:\"Concat\",shaderCache:{hint:`${t}`,inputDependencies:l},getRunData:()=>({outputs:[{dims:r,dataType:n}],dispatchGroup:{x:Math.ceil(o/64)},programUniforms:m}),getShaderSource:y}},zu=(e,t)=>{let r=e.inputs,n=r[0].dims,o=k.normalizeAxis(t.axis,n.length);ef(r,o);let i=n.slice();i[o]=r.reduce((d,l)=>d+(l.dims.length>o?l.dims[o]:0),0);let a=r.filter(d=>k.size(d.dims)>0);e.compute(nf(a,o,i,r[0].dataType),{inputs:a})},Ou=e=>ee({axis:e.axis})});var Ke,je,Ye,Kr,yt=U(()=>{\"use strict\";J();ne();Ke=(e,t,r=\"f32\")=>{switch(e.activation){case\"Relu\":return`value = max(value, ${t}(0.0));`;case\"Sigmoid\":return`value = (${t}(1.0) / (${t}(1.0) + exp(-value)));`;case\"Clip\":return`value = clamp(value, ${t}(${r}(uniforms.clip_min)), ${t}(${r}(uniforms.clip_max)));`;case\"HardSigmoid\":return`value = max(${t}(0.0), min(${t}(1.0), ${r}(uniforms.alpha) * value + ${r}(uniforms.beta)));`;case\"LeakyRelu\":return`value = select(${r}(uniforms.alpha) * value, value, value >= ${t}(0.0));`;case\"Tanh\":return`let e2x = exp(-2.0 * abs(value));\n value = sign(value) * (1.0 - e2x) / (1.0 + e2x);\n `;case\"\":return\"\";default:throw new Error(`Unsupported activation ${e.activation}`)}},je=(e,t)=>{e.activation===\"Clip\"?t.push({type:1,data:e.clipMax},{type:1,data:e.clipMin}):e.activation===\"HardSigmoid\"?t.push({type:1,data:e.alpha},{type:1,data:e.beta}):e.activation===\"LeakyRelu\"&&t.push({type:1,data:e.alpha})},Ye=(e,t)=>{e.activation===\"Clip\"?t.push({name:\"clip_max\",type:\"f32\"},{name:\"clip_min\",type:\"f32\"}):e.activation===\"HardSigmoid\"?t.push({name:\"alpha\",type:\"f32\"},{name:\"beta\",type:\"f32\"}):e.activation===\"LeakyRelu\"&&t.push({name:\"alpha\",type:\"f32\"})},Kr=e=>{let t=e?.activation||\"\";if(t===\"HardSigmoid\"){let[r,n]=e?.activation_params||[.2,.5];return{activation:t,alpha:r,beta:n}}else if(t===\"Clip\"){let[r,n]=e?.activation_params||[Ja,es];return{activation:t,clipMax:n,clipMin:r}}else if(t===\"LeakyRelu\"){let[r]=e?.activation_params||[.01];return{activation:t,alpha:r}}return{activation:t}}});var Ae,Bu,jr=U(()=>{\"use strict\";Ae=(e,t)=>{switch(e){case 1:return t;case 2:return`vec2<${t}>`;case 3:return`vec3<${t}>`;case 4:return`vec4<${t}>`;default:throw new Error(`${e}-component is not supported.`)}},Bu=e=>`\n ${e?\"value = value + getBiasByOutputCoords(coords);\":\"\"}\n `});var Mu,Ru=U(()=>{\"use strict\";Mu=e=>`\nfn getIndexFromCoords4D(coords : vec4<i32>, shape : vec4<i32>) -> i32 {\n return dot(coords, vec4<i32>(\n shape.y * shape.z * shape.w, shape.z * shape.w, shape.w, 1));\n}\nfn getOutputIndexFromCoords(coords : vec4<i32>) -> i32 {\n return dot(coords, vec4<i32>(\n i32(${e}.x), i32(${e}.y), i32(${e}.z), 1));\n}\n`});var Xt,Yr,Zr=U(()=>{\"use strict\";J();ne();ae();yt();Xt=(e,t,r,n,o)=>{let i=n-r;return`\n ${Array.from({length:r}).map((a,d)=>`\n if (${q(t.shape,d,t.rank)} != 1) {\n ${t.indicesSet(e,d,q(o,d+i,n))}\n } else {\n ${t.indicesSet(e,d,0)}\n }`).join(\"\")}\n`},Yr=(e,t,r,n,o=!1,i)=>{let a=e[0].dims,d=e[1].dims,l=a[a.length-2],p=d[d.length-1],m=a[a.length-1],u=me(p),h=me(m),_=me(l),y=k.size(r)/u/_,g=e.length>2,x=n?n.slice(0,-2):r.slice(0,-2),v=[k.size(x),l,p],S=[{type:12,data:y},{type:12,data:l},{type:12,data:p},{type:12,data:m}];je(t,S),S.push(...N(x,a,d)),g&&S.push(...N(e[2].dims)),S.push(...N(v));let T=A=>{let C=Wr(\"batch_dims\",e[0].dataType,x.length),P=E(\"a\",e[0].dataType,a.length,h),D=E(\"b\",e[1].dataType,d.length,u),R=M(\"output\",e[0].dataType,v.length,u),H=ye(R.type.tensor),L=Ke(t,R.type.value,H),re=[P,D],V=\"\";if(g){let j=o?u:1;re.push(E(\"bias\",e[2].dataType,e[2].dims.length,j)),V=`${o?`value += bias[col / ${j}];`:`value += ${R.type.value}(bias[row + i]);`}`}let K=[{name:\"output_size\",type:\"u32\"},{name:\"M\",type:\"u32\"},{name:\"N\",type:\"u32\"},{name:\"K\",type:\"u32\"}];Ye(t,K);let we=()=>{let j=`var a_data: ${P.type.value};`;for(let Q=0;Q<h;Q++)j+=`\n let b_data${Q} = b[(b_offset + (k + ${Q}) * uniforms.N + col) / ${u}];`;for(let Q=0;Q<_;Q++){j+=`a_data = a[(a_offset + (row + ${Q}) * uniforms.K + k) / ${h}];`;for(let ie=0;ie<h;ie++)j+=`\n values[${Q}] = fma(${D.type.value}(a_data${h===1?\"\":`[${ie}]`}), b_data${ie}, values[${Q}]);\n`}return j};return`\n ${A.registerUniforms(K).registerInternalVariables(C).declareVariables(...re,R)}\n ${A.mainStart()}\n ${A.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.output_size\")}\n let col = (global_idx % (uniforms.N / ${u})) * ${u};\n var index1 = global_idx / (uniforms.N / ${u});\n let stride1 = uniforms.M / ${_};\n let row = (index1 % stride1) * ${_};\n let batch = index1 / stride1;\n\n ${r.length===2?\"\":`let batch_indices = ${C.offsetToIndices(\"batch\")};`}\n\n var a_indices: ${P.type.indices};\n ${Xt(\"a_indices\",P,P.rank-2,C.rank,\"batch_indices\")}\n ${P.indicesSet(\"a_indices\",P.rank-2,0)}\n ${P.indicesSet(\"a_indices\",P.rank-1,0)}\n let a_offset = ${P.indicesToOffset(\"a_indices\")};\n\n var b_indices: ${D.type.indices};\n ${Xt(\"b_indices\",D,D.rank-2,C.rank,\"batch_indices\")}\n ${D.indicesSet(\"b_indices\",D.rank-2,0)}\n ${D.indicesSet(\"b_indices\",D.rank-1,0)}\n let b_offset = ${D.indicesToOffset(\"b_indices\")};\n var values: array<${R.type.value}, ${_}>;\n for (var k: u32 = 0u; k < uniforms.K; k = k + ${h}) {\n ${we()}\n }\n for (var i = 0u; i < ${_}u; i++) {\n var value = values[i];\n ${V}\n ${L}\n let cur_indices = ${R.type.indices}(batch, row + i, col);\n let offset = ${R.indicesToOffset(\"cur_indices\")};\n ${R.setByOffset(`offset / ${u}`,\"value\")};\n }\n }\n `};return{name:\"MatMulNaive\",shaderCache:{hint:`${t.activation};${u};${h};${_};${o}`,inputDependencies:g?[\"rank\",\"rank\",\"rank\"]:[\"rank\",\"rank\"]},getRunData:()=>({outputs:[{dims:i?i(r):r,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(y/64)},programUniforms:S}),getShaderSource:T}}});var of,af,fo,Uu,sf,ho,uf,Jt,Qr=U(()=>{\"use strict\";J();ne();ae();yt();Zr();jr();of=(e,t)=>e?`\n mm_Asub[inputRow][inputCol] = mm_readA(batch,\n kStart + inputRow,\n globalRowStart / innerElementSize + inputCol${t?\", batchIndices\":\"\"});\n `:`\n mm_Asub[inputRow][inputCol] = mm_readA(batch,\n globalRow + innerRow,\n kStart / innerElementSize + inputCol${t?\", batchIndices\":\"\"});\n `,af=(e,t)=>e?`\n let ACached0 = mm_Asub[k * innerElementSize][localRow];\n let ACached1 = mm_Asub[k * innerElementSize + 1][localRow];\n let ACached2 = mm_Asub[k * innerElementSize + 2][localRow];\n ${t===3?\"\":\"let ACached3 = mm_Asub[k * innerElementSize + 3][localRow];\"}\n for (var i = 0; i < rowPerThread; i = i + 1) {\n acc[i] = BCached0 * ACached0[i] + acc[i];\n acc[i] = BCached1 * ACached1[i] + acc[i];\n acc[i] = BCached2 * ACached2[i] + acc[i];\n ${t===3?\"\":\"acc[i] = BCached3 * ACached3[i] + acc[i];\"}\n }`:`\n for (var i = 0; i < rowPerThread; i = i + 1) {\n let ACached = mm_Asub[tileRow + i][k];\n acc[i] = BCached0 * ACached.x + acc[i];\n acc[i] = BCached1 * ACached.y + acc[i];\n acc[i] = BCached2 * ACached.z + acc[i];\n ${t===3?\"\":\"acc[i] = BCached3 * ACached.w + acc[i];\"}\n }`,fo=(e,t,r=\"f32\",n,o=!1,i=32,a=!1,d=32)=>{let l=t[1]*e[1],p=t[0]*e[0],m=o?l:i,u=o?i:l,h=m/t[0],_=i/t[1];if(!((o&&h===4&&e[1]===4||!o&&(h===3||h===4))&&m%t[0]===0&&i%t[1]===0&&e[0]===4))throw new Error(`If transposeA ${o} is true, innerElementSize ${h} and workPerThread[1] ${e[1]} must be 4.\n Otherwise, innerElementSize ${h} must be 3 or 4.\n tileAWidth ${m} must be divisible by workgroupSize[0]${t[0]}. tileInner ${i} must be divisible by workgroupSize[1] ${t[1]}. colPerThread ${e[0]} must be 4.`);return`\nvar<workgroup> mm_Asub: array<array<vec${h}<${r}>, ${m/h}>, ${u}>;\nvar<workgroup> mm_Bsub: array<array<vec4<${r}>, ${p/e[0]}>, ${i}>;\n\nconst rowPerThread = ${e[1]};\nconst colPerThread = ${e[0]};\nconst innerElementSize = ${h};\nconst tileInner = ${i};\n\n@compute @workgroup_size(${t[0]}, ${t[1]}, ${t[2]})\nfn main(@builtin(local_invocation_id) localId : vec3<u32>,\n @builtin(global_invocation_id) globalId : vec3<u32>,\n @builtin(workgroup_id) workgroupId : vec3<u32>) {\n let localRow = i32(localId.y);\n let tileRow = localRow * rowPerThread;\n let tileCol = i32(localId.x);\n\n let globalRow =i32(globalId.y) * rowPerThread;\n let globalCol = i32(globalId.x);\n let batch = ${a?\"0\":\"i32(globalId.z)\"};\n ${n?`let batchIndices = ${n.offsetToIndices(\"u32(batch)\")};`:\"\"}\n let globalRowStart = i32(workgroupId.y) * ${l};\n\n let num_tiles = ${a?`${Math.ceil(d/i)}`:\"(uniforms.dim_inner - 1) / tileInner + 1\"};\n var kStart = ${a?`i32(globalId.z) * ${d}`:\"0\"};\n\n var acc: array<vec4<${r}>, rowPerThread>;\n\n // Loop over shared dimension.\n let tileRowB = localRow * ${_};\n for (var t = 0; t < num_tiles; t = t + 1) {\n // Load one tile of A into local memory.\n for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n let inputRow = tileRow + innerRow;\n let inputCol = tileCol;\n ${of(o,n)}\n }\n\n // Load one tile of B into local memory.\n for (var innerRow = 0; innerRow < ${_}; innerRow = innerRow + 1) {\n let inputRow = tileRowB + innerRow;\n let inputCol = tileCol;\n mm_Bsub[inputRow][inputCol] = mm_readB(batch, kStart + inputRow, globalCol${n?\", batchIndices\":\"\"});\n }\n kStart = kStart + tileInner;\n workgroupBarrier();\n\n // Compute acc values for a single thread.\n for (var k = 0; k < tileInner / innerElementSize; k = k + 1) {\n let BCached0 = mm_Bsub[k * innerElementSize][tileCol];\n let BCached1 = mm_Bsub[k * innerElementSize + 1][tileCol];\n let BCached2 = mm_Bsub[k * innerElementSize + 2][tileCol];\n ${h===3?\"\":\"let BCached3 = mm_Bsub[k * innerElementSize + 3][tileCol];\"}\n\n ${af(o,h)}\n }\n\n workgroupBarrier();\n }\n\n for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]);\n }\n}`},Uu=(e,t)=>e?`\n mm_Asub[inputRow][inputCol] = mm_readA(batch,\n kStart + inputRow,\n globalRowStart + inputCol${t?\", batchIndices\":\"\"});\n `:`\n mm_Asub[inputRow][inputCol] = mm_readA(batch,\n globalRowStart + inputRow,\n kStart + inputCol${t?\", batchIndices\":\"\"});\n `,sf=e=>e?\"let ACached = mm_Asub[k][tileRow + innerRow];\":\"let ACached = mm_Asub[tileRow + innerRow][k];\",ho=(e,t,r=\"f32\",n,o=!1,i=32,a=!1,d=32,l=!1)=>{let p=e[1]*t[1],m=e[0]*t[0],u=o?p:i,h=o?i:p;if(!(h%t[1]===0&&u%t[0]===0&&i%t[1]===0))throw new Error(`tileAHight ${h} must be divisible by workgroupSize[1]${t[1]}, tileAWidth ${u} must be divisible by workgroupSize[0]${t[0]}, tileInner ${i} must be divisible by workgroupSize[1]${t[1]}`);let _=h/t[1],y=u/t[0],g=i/t[1],x=l?`\n let localRow = i32(localId.y);\n let localCol = i32(localId.x);\n let globalRowStart = i32(workgroupId.y) * ${p};\n let globalColStart = i32(workgroupId.x) * ${m};\n\n // Loop over shared dimension.\n for (var t = 0; t < num_tiles; t = t + 1) {\n // Load one tile of A into local memory.\n for (var inputRow = localRow; inputRow < ${h}; inputRow = inputRow + ${t[1]}) {\n for (var inputCol = localCol; inputCol < ${u}; inputCol = inputCol + ${t[0]}) {\n ${Uu(o,n)}\n }\n }\n // Load one tile of B into local memory.\n for (var inputRow = localRow; inputRow < ${i}; inputRow = inputRow + ${t[1]}) {\n for (var inputCol = localCol; inputCol < ${m}; inputCol = inputCol + ${t[0]}) {\n mm_Bsub[inputRow][inputCol] = mm_readB(batch,\n kStart + inputRow,\n globalColStart + inputCol${n?\", batchIndices\":\"\"});\n }\n }\n kStart = kStart + tileInner;\n workgroupBarrier();\n\n // Compute acc values for a single thread.\n var BCached : array<${r}, colPerThread>;\n for (var k = 0; k < tileInner; k = k + 1) {\n for (var inner = 0; inner < colPerThread; inner = inner + 1) {\n BCached[inner] = mm_Bsub[k][localCol + inner * ${t[0]}];\n }\n for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n let ACached = ${o?`mm_Asub[k][localRow + innerRow * ${t[1]}];`:`mm_Asub[localRow + innerRow * ${t[1]}][k];`}\n for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n acc[innerRow][innerCol] = acc[innerRow][innerCol] +\n ACached * BCached[innerCol];\n }\n }\n }\n workgroupBarrier();\n }\n for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n let gRow = globalRowStart + localRow + innerRow * ${t[1]};\n for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n let gCol = globalColStart + localCol + innerCol * ${t[0]};\n mm_write(batch, gRow, gCol, acc[innerRow][innerCol]);\n }\n }\n `:`\nlet tileRow = i32(localId.y) * rowPerThread;\nlet tileCol = i32(localId.x) * colPerThread;\n\nlet globalRow = i32(globalId.y) * rowPerThread;\nlet globalCol = i32(globalId.x) * colPerThread;\nlet globalRowStart = i32(workgroupId.y) * ${p};\n\nlet tileRowA = i32(localId.y) * ${_};\nlet tileColA = i32(localId.x) * ${y};\nlet tileRowB = i32(localId.y) * ${g};\n// Loop over shared dimension.\nfor (var t = 0; t < num_tiles; t = t + 1) {\n // Load one tile of A into local memory.\n for (var innerRow = 0; innerRow < ${_}; innerRow = innerRow + 1) {\n for (var innerCol = 0; innerCol < ${y}; innerCol = innerCol + 1) {\n let inputRow = tileRowA + innerRow;\n let inputCol = tileColA + innerCol;\n ${Uu(o,n)}\n }\n }\n\n // Load one tile of B into local memory.\n for (var innerRow = 0; innerRow < ${g}; innerRow = innerRow + 1) {\n for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n let inputRow = tileRowB + innerRow;\n let inputCol = tileCol + innerCol;\n mm_Bsub[inputRow][inputCol] = mm_readB(batch,\n kStart + inputRow,\n globalCol + innerCol${n?\", batchIndices\":\"\"});\n }\n }\n kStart = kStart + tileInner;\n workgroupBarrier();\n\n // Compute acc values for a single thread.\n var BCached : array<${r}, colPerThread>;\n for (var k = 0; k < tileInner; k = k + 1) {\n for (var inner = 0; inner < colPerThread; inner = inner + 1) {\n BCached[inner] = mm_Bsub[k][tileCol + inner];\n }\n\n for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n ${sf(o)}\n for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n acc[innerRow][innerCol] = acc[innerRow][innerCol] + ACached * BCached[innerCol];\n }\n }\n }\n\n workgroupBarrier();\n}\n\nfor (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n mm_write(batch, globalRow + innerRow, globalCol + innerCol,\n acc[innerRow][innerCol]);\n }\n}\n`;return`\n var<workgroup> mm_Asub : array<array<${r}, ${u}>, ${h}>;\n var<workgroup> mm_Bsub : array<array<${r}, ${m}>, ${i}>;\n const rowPerThread = ${e[1]};\n const colPerThread = ${e[0]};\n const tileInner = ${i};\n\n@compute @workgroup_size(${t[0]}, ${t[1]}, ${t[2]})\nfn main(@builtin(local_invocation_id) localId : vec3<u32>,\n @builtin(global_invocation_id) globalId : vec3<u32>,\n @builtin(workgroup_id) workgroupId : vec3<u32>) {\n let batch = ${a?\"0\":\"i32(globalId.z)\"};\n ${n?`let batchIndices = ${n.offsetToIndices(\"u32(batch)\")};`:\"\"}\n let num_tiles = ${a?`${Math.ceil(d/i)}`:\"(uniforms.dim_inner - 1) / tileInner + 1\"};\n var kStart = ${a?`i32(globalId.z) * ${d}`:\"0\"};\n\n var acc : array<array<${r}, colPerThread>, rowPerThread>;\n ${x}\n }\n`},uf=(e,t,r,n,o=!1)=>{let[i,a,d,l]=n,p=ye(n[0].type.tensor);return`\n fn mm_readA(batch: i32, row: i32, colIn: i32, batchIndices: ${i.type.indices}) -> ${Ae(e,p)} {\n var value = ${Ae(e,p)}(0.0);\n let col = colIn * ${e};\n if(row < uniforms.dim_a_outer && col < uniforms.dim_inner)\n {\n var aIndices: ${a.type.indices};\n ${Xt(\"aIndices\",a,a.rank-2,i.rank,\"batchIndices\")}\n ${a.indicesSet(\"aIndices\",a.rank-2,\"u32(row)\")}\n ${a.indicesSet(\"aIndices\",a.rank-1,\"u32(colIn)\")}\n value = ${a.getByIndices(\"aIndices\")};\n }\n return value;\n }\n\n fn mm_readB(batch: i32, row: i32, colIn: i32, batchIndices: ${i.type.indices}) -> ${Ae(e,p)} {\n var value = ${Ae(e,p)}(0.0);\n let col = colIn * ${e};\n if(row < uniforms.dim_inner && col < uniforms.dim_b_outer)\n {\n var bIndices: ${d.type.indices};\n ${Xt(\"bIndices\",d,d.rank-2,i.rank,\"batchIndices\")}\n ${d.indicesSet(\"bIndices\",d.rank-2,\"u32(row)\")}\n ${d.indicesSet(\"bIndices\",d.rank-1,\"u32(colIn)\")}\n value = ${d.getByIndices(\"bIndices\")};\n }\n return value;\n }\n\n fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${Ae(e,p)}) {\n let col = colIn * ${e};\n if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) {\n var value = valueIn;\n let coords = vec3<i32>(batch, row, colIn);\n ${t?`value = value + ${o?\"bias[colIn]\":`${Ae(e,p)}(bias[row])`};`:\"\"}\n ${r}\n ${l.setByIndices(\"vec3<u32>(coords)\",\"value\")}\n }\n }\n `},Jt=(e,t,r,n,o=!1,i)=>{let a=e[0].dims,d=e[1].dims,l=a.slice(0,-2),p=d.slice(0,-2),m=n?n.slice(0,-2):r.slice(0,-2),u=k.size(m),h=a[a.length-2],_=a[a.length-1],y=d[d.length-1],g=_%4===0&&y%4===0,x=h<=8?[4,1,1]:[4,4,1],$=[8,8,1],v=[Math.ceil(y/$[0]/x[0]),Math.ceil(h/$[1]/x[1]),Math.ceil(u/$[2]/x[2])],S=g?4:1,T=[...l,h,_/S],A=T.length,C=[...p,_,y/S],P=C.length,D=[u,h,y/S],R=[{type:6,data:h},{type:6,data:y},{type:6,data:_}];je(t,R),R.push(...N(m,T,C));let H=[\"rank\",\"rank\"],L=e.length>2;L&&(R.push(...N(e[2].dims)),H.push(\"rank\")),R.push(...N(D));let re=V=>{let K=m.length,we=Wr(\"batchDims\",e[0].dataType,K,1),j=ye(e[0].dataType),Q=E(\"a\",e[0].dataType,A,S),ie=E(\"b\",e[1].dataType,P,S),te=M(\"result\",e[0].dataType,D.length,S),be=[Q,ie];if(L){let Y=o?S:1;be.push(E(\"bias\",e[2].dataType,e[2].dims.length,Y))}let Oe=[{name:\"dim_a_outer\",type:\"i32\"},{name:\"dim_b_outer\",type:\"i32\"},{name:\"dim_inner\",type:\"i32\"}];Ye(t,Oe);let ve=ye(te.type.tensor),de=Ke(t,te.type.value,ve),W=uf(S,L,de,[we,Q,ie,te],o);return`\n ${V.registerUniforms(Oe).registerInternalVariables(we).declareVariables(...be,te)}\n ${W}\n ${g?fo(x,$,j,we):ho(x,$,j,we)}\n `};return{name:\"MatMul\",shaderCache:{hint:`${x};${t.activation};${g};${o}`,inputDependencies:H},getRunData:()=>({outputs:[{dims:i?i(r):r,dataType:e[0].dataType}],dispatchGroup:{x:v[0],y:v[1],z:v[2]},programUniforms:R}),getShaderSource:re}}});var df,Nu,Vu=U(()=>{\"use strict\";J();et();ae();yt();jr();Ru();Qr();df=(e,t,r,n,o=!1,i,a=4,d=4,l=4,p=\"f32\")=>{let m=H=>{switch(H){case 1:return\"resData = x[xIndex];\";case 3:return`resData = vec3<${p}>(x[xIndex], x[xIndex + 1], x[xIndex + 2]);`;case 4:return\"resData = x[xIndex / 4];\";default:throw new Error(`innerElementSize ${H} is not supported.`)}},u=H=>{switch(H){case 1:return\"return w[row * i32(uniforms.w_shape[3]) + colIn];\";case 4:return\"return w[row * i32(uniforms.w_shape[3]) / 4 + colIn];\";default:throw new Error(`innerElementSize ${H} is not supported.`)}},h=e?`\n let coord = vec4<i32>(batch, xRow, xCol, xCh);\n `:`\n let coord = vec4<i32>(batch, xCh, xRow, xCol);\n `,_=e?`\n let coords = vec4<i32>(\n batch,\n row / outWidth,\n row % outWidth,\n col);\n `:`\n let coords = vec4<i32>(\n batch,\n row,\n col / outWidth,\n col % outWidth);\n `,y=e?\"i32(uniforms.x_shape[1])\":\"i32(uniforms.x_shape[2])\",g=e?\"i32(uniforms.x_shape[2])\":\"i32(uniforms.x_shape[3])\",x=e?\"row\":\"col\",$=e?\"col\":\"row\",v=`\n let inChannels = i32(uniforms.w_shape[2]);\n let outWidth = ${e?\"i32(uniforms.result_shape[2])\":\"i32(uniforms.result_shape[3])\"};\n let outRow = ${x} / outWidth;\n let outCol = ${x} % outWidth;\n\n let WRow = ${$} / (i32(uniforms.w_shape[1]) * inChannels);\n let WCol = ${$} / inChannels % i32(uniforms.w_shape[1]);\n let xRow = outRow * uniforms.stride[0] + uniforms.dilation[0] * WRow - uniforms.pad[0];\n let xCol = outCol * uniforms.stride[1] + uniforms.dilation[1] * WCol - uniforms.pad[1];\n let xCh = ${$} % inChannels;\n var resData = ${Ae(a,p)}(0.0);\n // The bounds checking is always needed since we use it to pad zero for\n // the 'same' padding type.\n if (xRow >= 0 && xRow < ${y} && xCol >= 0 && xCol < ${g}) {\n ${h}\n let xIndex = getIndexFromCoords4D(coord, vec4<i32>(uniforms.x_shape));\n ${m(a)}\n }\n return resData;`,S=e?t&&n?`\n let col = colIn * ${a};\n ${v}`:`\n let col = colIn * ${a};\n if (row < uniforms.dim_a_outer && col < uniforms.dim_inner) {\n ${v}\n }\n return ${Ae(a,p)}(0.0);`:n&&r?`\n let col = colIn * ${a};\n ${v}`:`\n let col = colIn * ${a};\n if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {\n ${v}\n }\n return ${Ae(a,p)}(0.0);`,T=e?n&&r?u(d):`\n let col = colIn * ${d};\n if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {\n ${u(d)}\n }\n return ${Ae(d,p)}(0.0);`:`\n let col = colIn * ${d};\n if (row < uniforms.dim_inner && col < uniforms.dim_a_outer) {\n ${u(d)}\n }\n return ${Ae(d,p)}(0.0);`,A=Ae(l,p),C=e?Ae(a,p):Ae(d,p),P=e?Ae(d,p):Ae(a,p),D=Ke(i,A,p);return`\n fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${C} {\n ${e?S:T}\n }\n\n fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${P} {\n ${e?T:S}\n }\n\n fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${A}) {\n let col = colIn * ${l};\n if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer)\n {\n var value = valueIn;\n let outWidth = ${e?\"i32(uniforms.result_shape[2])\":\"i32(uniforms.result_shape[3])\"};\n ${_}\n ${Bu(o)}\n ${D}\n setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value);\n }\n }`},Nu=(e,t,r,n,o,i,a,d,l)=>{let p=t.format===\"NHWC\",m=p?e[0].dims[3]:e[0].dims[1],u=r[0],h=p?r[2]:r[3],_=p?r[1]:r[2],y=p?r[3]:r[1],g=p&&(m%4===0||m%3===0)&&y%4===0,x=p?y:h*_,$=p?h*_:y,v=[8,8,1],S=n<=8?[4,1,1]:[4,4,1],T=[Math.ceil(x/v[0]/S[0]),Math.ceil($/v[1]/S[1]),Math.ceil(u/v[2]/S[2])];se(\"verbose\",()=>`[conv2d_mm_webgpu] dispatch = ${T}`);let A=g?p&&m%4!==0?3:4:1,C=v[1]*S[1],P=v[0]*S[0],D=Math.max(v[0]*A,v[1]),R=n%C===0,H=o%P===0,L=i%D===0,re=g?[A,4,4]:[1,1,1],V=[{type:6,data:n},{type:6,data:o},{type:6,data:i},{type:6,data:[t.pads[0],t.pads[1]]},{type:6,data:t.strides},{type:6,data:t.dilations}];je(t,V),V.push(...N(e[0].dims,e[1].dims));let K=[\"rank\",\"rank\"];a&&(V.push(...N(e[2].dims)),K.push(\"rank\")),V.push(...N(r));let we=j=>{let Q=[{name:\"dim_a_outer\",type:\"i32\"},{name:\"dim_b_outer\",type:\"i32\"},{name:\"dim_inner\",type:\"i32\"},{name:\"pad\",type:\"i32\",length:2},{name:\"stride\",type:\"i32\",length:2},{name:\"dilation\",type:\"i32\",length:2}];Ye(t,Q);let ie=g?4:1,te=ye(e[0].dataType),be=`\n fn setOutputAtIndex(flatIndex : i32, value : ${g?`vec4<${te}>`:te}) {\n result[flatIndex] = ${g?`vec4<${te}>`:te}(value);\n }\n fn setOutputAtCoords(d0 : i32, d1 : i32, d2 : i32, d3 : i32, value : ${g?`vec4<${te}>`:te}) {\n let flatIndex = getOutputIndexFromCoords(vec4<i32>(d0, d1, d2, d3));\n setOutputAtIndex(flatIndex ${g?\"/ 4\":\"\"}, value);\n }`,Oe=E(\"x\",e[0].dataType,e[0].dims.length,A===3?1:A),ve=E(\"w\",e[1].dataType,e[1].dims.length,ie),de=[Oe,ve],W=M(\"result\",e[0].dataType,r.length,ie);if(a){let Y=E(\"bias\",e[2].dataType,e[2].dims.length,ie);de.push(Y),be+=`\n fn getBiasByOutputCoords(coords : vec4<i32>) -> ${g?`vec4<${te}>`:te} {\n return bias[coords.${p?\"w\":\"y\"}${g?\"/ 4\":\"\"}];\n }`}return`\n ${Mu(\"uniforms.result_strides\")}\n //struct Uniforms { xShape : vec4<i32>, wShape : vec4<i32>, outShape : vec4<i32>,\n // outShapeStrides: vec3<i32>, filterDims : vec2<i32>, pad : vec2<i32>, stride : vec2<i32>,\n // dilation : vec2<i32>, dimAOuter : i32, dimBOuter : i32, dimInner : i32 };\n ${j.registerUniforms(Q).declareVariables(...de,W)}\n ${be}\n ${df(p,R,H,L,a,t,re[0],re[1],re[2],te)}\n ${g?fo(S,v,te,void 0,!p,D):ho(S,v,te,void 0,!p,D,!1,void 0,d)}`};return{name:\"Conv2DMatMul\",shaderCache:{hint:`${t.cacheKey};${A};${g};${R};${H};${L};${C};${P};${D}`,inputDependencies:K},getRunData:()=>({outputs:[{dims:l?l(r):r,dataType:e[0].dataType}],dispatchGroup:{x:T[0],y:T[1],z:T[2]},programUniforms:V}),getShaderSource:we}}});var lf,Wu,Xr,cf,Lu,pf,Gu,Hu,Fu=U(()=>{\"use strict\";J();et();ne();ae();yt();jr();lf=e=>{let t=1;for(let r=0;r<e.length;r++)t*=e[r];return t},Wu=e=>typeof e==\"number\"?[e,e,e]:e,Xr=(e,t)=>t<=1?e:e+(e-1)*(t-1),cf=(e,t,r,n=1)=>{let o=Xr(t,n);return Math.floor((e[0]*(r-1)-r+o)/2)},Lu=(e,t,r,n,o)=>{o==null&&(o=cf(e,t[0],n[0]));let i=[0,0,0,r];for(let a=0;a<3;a++)e[a]+2*o>=t[a]&&(i[a]=Math.trunc((e[a]-t[a]+2*o)/n[a]+1));return i},pf=(e,t,r,n,o,i,a,d,l,p)=>{let m,u,h,_;if(e===\"VALID\"&&(e=0),typeof e==\"number\"){m={top:e,bottom:e,left:e,right:e,front:e,back:e};let y=Lu([t,r,n,1],[d,l,p],1,[o,i,a],e);u=y[0],h=y[1],_=y[2]}else if(Array.isArray(e)){if(!e.every((g,x,$)=>g===$[0]))throw Error(`Unsupported padding parameter: ${e}`);m={top:e[0],bottom:e[1],left:e[2],right:e[3],front:e[4],back:e[5]};let y=Lu([t,r,n,1],[d,l,p],1,[o,i,a],e[0]);u=y[0],h=y[1],_=y[2]}else if(e===\"SAME_UPPER\"){u=Math.ceil(t/o),h=Math.ceil(r/i),_=Math.ceil(n/a);let y=(u-1)*o+d-t,g=(h-1)*i+l-r,x=(_-1)*a+p-n,$=Math.floor(y/2),v=y-$,S=Math.floor(g/2),T=g-S,A=Math.floor(x/2),C=x-A;m={top:S,bottom:T,left:A,right:C,front:$,back:v}}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:m,outDepth:u,outHeight:h,outWidth:_}},Gu=(e,t,r,n,o,i=!1,a=\"channelsLast\")=>{let d,l,p,m,u;if(a===\"channelsLast\")[d,l,p,m,u]=e;else if(a===\"channelsFirst\")[d,u,l,p,m]=e;else throw new Error(`Unknown dataFormat ${a}`);let[h,,_,y,g]=t,[x,$,v]=Wu(r),[S,T,A]=Wu(n),C=Xr(_,S),P=Xr(y,T),D=Xr(g,A),{padInfo:R,outDepth:H,outHeight:L,outWidth:re}=pf(o,l,p,m,x,$,v,C,P,D),V=i?h*u:h,K=[0,0,0,0,0];return a===\"channelsFirst\"?K=[d,V,H,L,re]:a===\"channelsLast\"&&(K=[d,H,L,re,V]),{batchSize:d,dataFormat:a,inDepth:l,inHeight:p,inWidth:m,inChannels:u,outDepth:H,outHeight:L,outWidth:re,outChannels:V,padInfo:R,strideDepth:x,strideHeight:$,strideWidth:v,filterDepth:_,filterHeight:y,filterWidth:g,effectiveFilterDepth:C,effectiveFilterHeight:P,effectiveFilterWidth:D,dilationDepth:S,dilationHeight:T,dilationWidth:A,inShape:e,outShape:K,filterShape:t}},Hu=(e,t,r,n,o,i)=>{let a=i===\"channelsLast\",d=a?e[0].dims[3]:e[0].dims[1],l=!1,p=[64,1,1],m={x:r.map((v,S)=>S)},u=[Math.ceil(lf(m.x.map(v=>r[v]))/p[0]),1,1];se(\"verbose\",()=>`[conv3d_naive_webgpu] dispatch = ${u}`);let h=l?a&&d%4!==0?3:4:1,_=k.size(r),y=[{type:12,data:_},{type:12,data:n},{type:12,data:o},{type:12,data:t.strides},{type:12,data:t.dilations}];je(t,y),y.push(...N(e[0].dims,e[1].dims));let g=[\"rank\",\"rank\"],x=e.length===3;x&&(y.push(...N(e[2].dims)),g.push(\"rank\")),y.push(...N(r));let $=v=>{let S=[{name:\"output_size\",type:\"u32\"},{name:\"filter_dims\",type:\"u32\",length:n.length},{name:\"pads\",type:\"u32\",length:o.length},{name:\"strides\",type:\"u32\",length:t.strides.length},{name:\"dilations\",type:\"u32\",length:t.dilations.length}];Ye(t,S);let T=l?4:1,A=ye(e[0].dataType),C=E(\"x\",e[0].dataType,e[0].dims.length,h===3?1:h),P=E(\"W\",e[1].dataType,e[1].dims.length,T),D=[C,P],R=M(\"result\",e[0].dataType,r.length,T),H=\"\";if(x){let V=E(\"bias\",e[2].dataType,e[2].dims.length,T);D.push(V),H+=`\n fn getBiasByOutputCoords(coords : array<u32, 5>) -> ${l?`vec4<${A}>`:A} {\n return bias[${a?q(\"coords\",4,5):q(\"coords\",1,5)}${l?\"/ 4\":\"\"}];\n }`}let L=Ae(h,A),re=Ke(t,L,A);return`\n ${H}\n fn getX(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 {\n let aIndices = array<u32, 5>(d0, d1, d2, d3, d4);\n return ${C.getByIndices(\"aIndices\")};\n }\n fn getW(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 {\n let aIndices = array<u32, 5>(d0, d1, d2, d3, d4);\n return ${P.getByIndices(\"aIndices\")};\n }\n ${v.registerUniforms(S).declareVariables(...D,R)}\n ${v.mainStart()}\n ${v.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.output_size\")}\n let coords = ${R.offsetToIndices(\"global_idx\")};\n let batch = ${q(\"coords\",0,C.rank)};\n let d2 = ${a?q(\"coords\",C.rank-1,C.rank):q(\"coords\",1,C.rank)};\n let xFRCCorner = vec3<u32>(${a?q(\"coords\",1,C.rank):q(\"coords\",2,C.rank)},\n ${a?q(\"coords\",2,C.rank):q(\"coords\",3,C.rank)},\n ${a?q(\"coords\",3,C.rank):q(\"coords\",4,C.rank)}) * uniforms.strides - uniforms.pads;\n let xFCorner = xFRCCorner.x;\n let xRCorner = xFRCCorner.y;\n let xCCorner = xFRCCorner.z;\n let xShapeY = ${a?q(\"uniforms.x_shape\",1,C.rank):q(\"uniforms.x_shape\",2,C.rank)};\n let xShapeZ = ${a?q(\"uniforms.x_shape\",2,C.rank):q(\"uniforms.x_shape\",3,C.rank)};\n let xShapeW = ${a?q(\"uniforms.x_shape\",3,C.rank):q(\"uniforms.x_shape\",4,C.rank)};\n let xShapeU = ${a?q(\"uniforms.x_shape\",4,C.rank):q(\"uniforms.x_shape\",1,C.rank)};\n let inputDepthNearestVec4 = (xShapeU / 4) * 4;\n let inputDepthVec4Remainder = xShapeU % 4;\n\n var value = 0.0;\n for (var wF = 0u; wF < uniforms.filter_dims[0]; wF++) {\n let xF = xFCorner + wF * uniforms.dilations[0];\n if (xF < 0 || xF >= xShapeY) {\n continue;\n }\n\n for (var wR = 0u; wR < uniforms.filter_dims[1]; wR++) {\n let xR = xRCorner + wR * uniforms.dilations[1];\n if (xR < 0 || xR >= xShapeZ) {\n continue;\n }\n\n for (var wC = 0u; wC < uniforms.filter_dims[2]; wC++) {\n let xC = xCCorner + wC * uniforms.dilations[2];\n if (xC < 0 || xC >= xShapeW) {\n continue;\n }\n\n for (var d1 = 0u; d1 < inputDepthNearestVec4; d1 += 4) {\n ${a?`let xValues = vec4<f32>(\n getX(batch, xF, xR, xC, d1),\n getX(batch, xF, xR, xC, d1 + 1),\n getX(batch, xF, xR, xC, d1 + 2),\n getX(batch, xF, xR, xC, d1 + 3));\n `:`let xValues = vec4<f32>(\n getX(batch, d1, xF, xR, xC),\n getX(batch, d1 + 1, xF, xR, xC),\n getX(batch, d1 + 2, xF, xR, xC),\n getX(batch, d1 + 3, xF, xR, xC));\n `}\n let wValues = vec4<f32>(\n getW(d2, d1, wF, wR, wC),\n getW(d2, d1 + 1, wF, wR, wC),\n getW(d2, d1 + 2, wF, wR, wC),\n getW(d2, d1 + 3, wF, wR, wC));\n value += dot(xValues, wValues);\n }\n if (inputDepthVec4Remainder == 1) {\n ${a?`value += getX(batch, xF, xR, xC, inputDepthNearestVec4)\n * getW(d2, inputDepthNearestVec4, wF, wR, wC);`:`value += getX(batch, inputDepthNearestVec4, xF, xR, xC)\n * getW(d2, inputDepthNearestVec4, wF, wR, wC);`}\n } else if (inputDepthVec4Remainder == 2) {\n ${a?`let xValues = vec2<f32>(\n getX(batch, xF, xR, xC, inputDepthNearestVec4),\n getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1));\n `:`let xValues = vec2<f32>(\n getX(batch, inputDepthNearestVec4, xF, xR, xC),\n getX(batch, inputDepthNearestVec4 + 1, xF, xR, xC));\n `}\n let wValues = vec2<f32>(\n getW(d2, inputDepthNearestVec4, wF, wR, wC),\n getW(d2, inputDepthNearestVec4 + 1, wF, wR, wC));\n value += dot(xValues, wValues);\n } else if (inputDepthVec4Remainder == 3) {\n ${a?`let xValues = vec3<f32>(\n getX(batch, xF, xR, xC, inputDepthNearestVec4),\n getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1),\n getX(batch, xF, xR, xC, inputDepthNearestVec4 + 2));\n `:`let xValues = vec3<f32>(\n getX(batch, inputDepthNearestVec4, xF, xR, xC),\n getX(batch, inputDepthNearestVec4 + 1, xF, xR, xC),\n getX(batch, inputDepthNearestVec4 + 2, xF, xR, xC));\n `}\n let wValues = vec3<f32>(\n getW(d2, inputDepthNearestVec4, wF, wR, wC),\n getW(d2, inputDepthNearestVec4 + 1, wF, wR, wC),\n getW(d2, inputDepthNearestVec4 + 2, wF, wR, wC));\n value += dot(xValues, wValues);\n }\n }\n }\n }\n ${x?\"value = value + getBiasByOutputCoords(coords)\":\"\"};\n ${re}\n result[global_idx] = f32(value);\n }`};return{name:\"Conv3DNaive\",shaderCache:{hint:`${t.cacheKey};${a};${h};${x}`,inputDependencies:g},getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:u[0],y:u[1],z:u[2]},programUniforms:y}),getShaderSource:$}}});var qu,Ku,ju=U(()=>{\"use strict\";J();ne();ae();yt();qu=(e,t,r,n)=>{let o=e.length>2,i=o?\"value += b[output_channel];\":\"\",a=e[0].dims,d=e[1].dims,l=t.format===\"NHWC\",p=l?r[3]:r[1],m=p/t.group,u=l&&m>=4?me(p):1,h=k.size(r)/u,_=[{type:12,data:h},{type:12,data:t.dilations},{type:12,data:[t.strides[0],t.strides[1]]},{type:12,data:[t.pads[0],t.pads[1]]},{type:12,data:m}];je(t,_),_.push(...N(a,[d[0],d[1],d[2],d[3]/u]));let y=o?[\"rank\",\"rank\",\"rank\"]:[\"rank\",\"rank\"];_.push(...N([r[0],r[1],r[2],r[3]/u]));let g=x=>{let $=M(\"output\",e[0].dataType,r.length,u),v=ye($.type.tensor),S=Ke(t,$.type.value,v),T=E(\"x\",e[0].dataType,a.length),A=E(\"w\",e[1].dataType,d.length,u),C=[T,A];o&&C.push(E(\"b\",e[2].dataType,e[2].dims,u));let P=[{name:\"output_size\",type:\"u32\"},{name:\"dilations\",type:\"u32\",length:t.dilations.length},{name:\"strides\",type:\"u32\",length:2},{name:\"pads\",type:\"u32\",length:2},{name:\"output_channels_per_group\",type:\"u32\"}];Ye(t,P);let D=l?`\n for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[0]; wHeight++) {\n let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0];\n\n if (xHeight < 0u || xHeight >= uniforms.x_shape[1]) {\n continue;\n }\n\n for (var wWidth: u32 = 0u; wWidth < uniforms.w_shape[1]; wWidth++) {\n let xWidth = xRCCorner.y + wWidth * uniforms.dilations[1];\n if (xWidth < 0u || xWidth >= uniforms.x_shape[2]) {\n continue;\n }\n\n for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[2]; wInChannel++) {\n let input_channel = in_channel_offset + wInChannel;\n let xVal = ${T.get(\"batch\",\"xHeight\",\"xWidth\",\"input_channel\")};\n let wVal = ${A.get(\"wHeight\",\"wWidth\",\"wInChannel\",\"output_channel\")};\n value += xVal * wVal;\n }\n }\n }\n `:`\n for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[1]; wInChannel++) {\n let input_channel = in_channel_offset + wInChannel;\n for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[2]; wHeight++) {\n let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0];\n\n if (xHeight < 0u || xHeight >= uniforms.x_shape[2]) {\n continue;\n }\n\n for (var wWidth: u32 = 0u; wWidth < uniforms.w_shape[3]; wWidth++) {\n let xWidth = xRCCorner.y + wWidth * uniforms.dilations[1];\n if (xWidth < 0u || xWidth >= uniforms.x_shape[3]) {\n continue;\n }\n\n let xVal = ${T.get(\"batch\",\"input_channel\",\"xHeight\",\"xWidth\")};\n let wVal = ${A.get(\"output_channel\",\"wInChannel\",\"wHeight\",\"wWidth\")};\n value += xVal * wVal;\n }\n }\n }\n `;return`\n ${x.registerUniforms(P).declareVariables(...C,$)}\n\n ${x.mainStart()}\n ${x.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.output_size\")}\n\n let outputIndices = ${$.offsetToIndices(\"global_idx\")};\n let batch: u32 = outputIndices[0];\n let output_channel: u32 = outputIndices[${l?3:1}];\n let xRCCorner: vec2<u32> = vec2<u32>(outputIndices[${l?1:2}], outputIndices[${l?2:3}]) * uniforms.strides - uniforms.pads;\n let group_id: u32 = output_channel * ${u} / uniforms.output_channels_per_group;\n var in_channel_offset = group_id * uniforms.w_shape[${l?2:1}];\n\n var value: ${$.type.value} = ${$.type.value}(0);\n ${D}\n ${i}\n ${S}\n ${$.setByOffset(\"global_idx\",\"value\")}\n }`};return{name:\"GroupedConv\",shaderCache:{hint:`${t.cacheKey}_${u}`,inputDependencies:y},getRunData:()=>({outputs:[{dims:n?n(r):r,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:_}),getShaderSource:g}},Ku=(e,t,r,n)=>{let o=e.length>2,i=me(r[3]),a=me(r[2]),d=k.size(r)/i/a,l=[e[0].dims[0],e[0].dims[1],e[0].dims[2],e[0].dims[3]/i],p=[e[1].dims[0],e[1].dims[1],e[1].dims[2],e[1].dims[3]/i],m=[r[0],r[1],r[2],r[3]/i],u=[{type:12,data:d},{type:6,data:[t.strides[0],t.strides[1]]},{type:6,data:[t.pads[0],t.pads[1]]}];je(t,u),u.push(...N(l,p,m));let h=(a-1)*t.strides[1]+p[1],_=y=>{let g=M(\"output\",e[0].dataType,m.length,i),x=ye(g.type.tensor),$=Ke(t,g.type.value,x),v=E(\"x\",e[0].dataType,l.length,i),S=E(\"w\",e[1].dataType,p.length,i),T=[v,S];o&&T.push(E(\"b\",e[2].dataType,e[2].dims,i));let A=o?\"value += b[output_channel];\":\"\",C=[{name:\"output_size\",type:\"u32\"},{name:\"strides\",type:\"i32\",length:2},{name:\"pads\",type:\"i32\",length:2}];return Ye(t,C),`\n ${y.registerUniforms(C).declareVariables(...T,g)}\n ${y.mainStart()}\n ${y.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.output_size\")}\n let width0 = uniforms.output_shape[3];\n let output_channel = global_idx % width0;\n var index1 = global_idx / width0;\n let width1 = uniforms.output_shape[2] / ${a}u;\n let col = (index1 % width1) * ${a}u;\n index1 = index1 / width1;\n let row = index1 % uniforms.output_shape[1];\n let batch = index1 / uniforms.output_shape[1];\n\n let x_corner = vec2<i32>(i32(row), i32(col)) * uniforms.strides - uniforms.pads;\n\n var x_vals: array<${v.type.value}, ${h}>;\n var values: array<${g.type.value}, ${a}>;\n let input_channel = output_channel;\n // Use constant instead of uniform can give better performance for w's height/width.\n for (var w_height: u32 = 0u; w_height < ${p[0]}; w_height++) {\n let x_height = x_corner.x + i32(w_height);\n if (x_height >= 0 && u32(x_height) < uniforms.x_shape[1]) {\n for (var i = 0; i < ${h}; i++) {\n let x_width = x_corner.y + i;\n if (x_width >= 0 && u32(x_width) < uniforms.x_shape[2]) {\n x_vals[i] = ${v.get(\"batch\",\"u32(x_height)\",\"u32(x_width)\",\"input_channel\")};\n } else {\n x_vals[i] = ${v.type.value}(0);\n }\n }\n for (var w_width: u32 = 0u; w_width < ${p[1]}; w_width++) {\n let w_val = ${S.get(\"w_height\",\"w_width\",\"0\",\"output_channel\")};\n for (var i = 0u; i < ${a}u; i++) {\n values[i] = fma(x_vals[i * u32(uniforms.strides[1]) + w_width], w_val, values[i]);\n }\n }\n }\n }\n\n for (var i = 0u; i < ${a}u; i++) {\n var value = values[i];\n ${A}\n ${$}\n ${g.set(\"batch\",\"row\",\"col + i\",\"output_channel\",\"value\")};\n }\n }`};return{name:\"GroupedConv-Vectorize\",shaderCache:{hint:`${t.cacheKey};${i};${a};${h};${p[0]};${p[1]}`,inputDependencies:o?[\"rank\",\"rank\",\"type\"]:[\"rank\",\"rank\"]},getRunData:()=>({outputs:[{dims:n?n(r):r,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(d/64)},programUniforms:u}),getShaderSource:_}}});var mf,go,ff,bo,yo,Yu,hf,gf,_o,Zu=U(()=>{\"use strict\";ne();Vu();Fu();Qr();ju();yt();Zr();dt();mf=(e,t,r,n,o,i)=>{let a=e[0],d=e.slice(i?1:2,i?3:4),l=d.length,p=t[0],u=t.slice(2).map((y,g)=>y+(y-1)*(r[g]-1)),_=d.map((y,g)=>y+n[g]+n[g+l]).map((y,g)=>Math.floor((y-u[g]+o[g])/o[g]));return _.splice(0,0,a),_.splice(i?3:1,0,p),_},go=[2,3,1,0],ff=(e,t)=>{if(!e||e.length!==2&&e.length!==3)throw new Error(\"Conv requires 2 or 3 inputs\");if(e[0].dims.length>5)throw new Error(\"greater than 5D is not supported\");if(e[0].dims.length!==e[1].dims.length)throw new Error(\"filter does not have same dimension as input\");let r=e[0].dims[t.format===\"NHWC\"?e[0].dims.length-1:1],n=e[1].dims[1]*t.group;if(r!==n)throw new Error(\"FILTER_IN_CHANNEL should be equal to DATA_CHANNEL\");if(e.length===3&&(e[2].dims.length!==1||e[1].dims[0]!==e[2].dims[0]))throw new Error(\"invalid bias\");let o=e[0].dims.length-2;if(t.dilations.length!==o)throw new Error(`dilations should be ${o}D`);if(t.strides.length!==o)throw new Error(`strides should be ${o}D`);if(t.pads.length!==o*2)throw new Error(`pads should be ${o*2}D`);if(t.kernelShape.length!==0&&t.kernelShape.length!==e[1].dims.length-2)throw new Error(\"invalid kernel shape\")},bo=(e,t)=>{let r=e.kernelShape.slice();r.length<t[1].dims.length-2&&r.push(...Array(t[1].dims.length-2-r.length).fill(0));for(let i=2;i<t[1].dims.length;++i)r[i-2]===0&&(r[i-2]=t[1].dims[i]);let n=e.pads.slice();kt.adjustPadsBasedOnAutoPad(t[0].dims,e.strides,e.dilations,r,n,e.format===\"NHWC\",e.autoPad);let o=Object.assign({},e);return Object.assign(o,{kernelShape:r,pads:n}),o},yo=e=>{let t=Kr(e),r=e.format,n=[\"NOTSET\",\"VALID\",\"SAME_UPPER\",\"SAME_LOWER\"][e.auto_pad],o=e.dilations,i=e.group,a=e.kernel_shape,d=e.pads,l=e.strides,p=e.w_is_const();return{autoPad:n,format:r,dilations:o,group:i,kernelShape:a,pads:d,strides:l,wIsConst:p,...t,cacheKey:`${e.format};${t.activation};`}},Yu=(e,t,r,n)=>{let o=r.format===\"NHWC\",i=mf(t[0].dims,t[1].dims,r.dilations,r.pads,r.strides,o);if(r.group!==1){let C=[t[0]];if(o){let D=e.kernelCustomData.wT??e.compute(Pe(t[1],go),{inputs:[1],outputs:[r.wIsConst?-2:-1]})[0];r.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=D),C.push(D)}else C.push(t[1]);t.length===3&&C.push(t[2]),!e.adapterInfo.isArchitecture(\"ampere\")&&o&&t[1].dims[0]===r.group&&t[1].dims[1]===1&&r.dilations[0]===1&&r.dilations[1]===1?e.compute(Ku(C,r,i,n),{inputs:C}):e.compute(qu(C,r,i,n),{inputs:C});return}let a=t.length===3,d=t[0].dims[o?1:2],l=t[0].dims[o?2:3],p=t[0].dims[o?3:1],m=t[1].dims[2],u=t[1].dims[3],h=i[o?1:2],_=i[o?2:3],y=i[o?3:1],g=o&&m===d&&u===l&&r.pads[0]===0&&r.pads[1]===0;if(g||m===1&&u===1&&r.dilations[0]===1&&r.dilations[1]===1&&r.strides[0]===1&&r.strides[1]===1&&r.pads[0]===0&&r.pads[1]===0){let C=i[0],P,D,R,H=[];if(o){let V=e.kernelCustomData.wT??e.compute(Pe(t[1],go),{inputs:[1],outputs:[r.wIsConst?-2:-1]})[0];if(r.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=V),g){let K=d*l*p;P=t[0].reshape([1,C,K]),D=V.reshape([1,K,y]),R=[1,C,y]}else P=t[0].reshape([C,d*l,p]),D=V.reshape([1,p,y]),R=[C,h*_,y];H.push(P),H.push(D)}else P=t[0].reshape([C,p,d*l]),D=t[1].reshape([1,y,p]),R=[C,y,h*_],H.push(D),H.push(P);a&&H.push(t[2]);let L=R[2],re=H[0].dims[H[0].dims.length-1];L<8&&re<8?e.compute(Yr(H,r,i,R,o,n),{inputs:H}):e.compute(Jt(H,r,i,R,o,n),{inputs:H});return}let x=!0,$=e.kernelCustomData.wT??e.compute(Pe(t[1],go),{inputs:[1],outputs:[r.wIsConst?-2:-1]})[0];r.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=$);let v=[t[0],$];a&&v.push(t[2]);let S=o?h*_:y,T=o?y:h*_,A=m*u*p;e.compute(Nu(v,r,i,S,T,A,a,x,n),{inputs:v})},hf=(e,t)=>{let r=t.format===\"NHWC\",n=[e.inputs[0].reshape(r?[e.inputs[0].dims[0],1,e.inputs[0].dims[1],e.inputs[0].dims[2]]:[e.inputs[0].dims[0],e.inputs[0].dims[1],1,e.inputs[0].dims[2]]),e.inputs[1].reshape([e.inputs[1].dims[0],e.inputs[1].dims[1],1,e.inputs[1].dims[2]])];e.inputs.length===3&&n.push(e.inputs[2]);let o=[0,t.pads[0],0,t.pads[1]],i=[1].concat(t.strides),a=[1].concat(t.dilations),d=[1].concat(t.kernelShape),l=bo({...t,pads:o,strides:i,dilations:a,kernelShape:d},n);Yu(e,n,l,p=>r?[p[0],p[2],p[3]]:[p[0],p[1],p[3]])},gf=(e,t,r)=>{let n=r.format===\"NHWC\"?\"channelsLast\":\"channelsFirst\",o=bo(r,t),i=r.autoPad===\"NOTSET\"?r.pads:r.autoPad,a=Gu(t[0].dims,t[1].dims,r.strides,r.dilations,i,!1,n);e.compute(Hu(t,o,a.outShape,[a.filterDepth,a.filterHeight,a.filterWidth],[a.padInfo.front,a.padInfo.top,a.padInfo.left],n))},_o=(e,t)=>{if(ff(e.inputs,t),e.inputs[0].dims.length===3)hf(e,t);else if(e.inputs[0].dims.length===5)gf(e,e.inputs,t);else{let r=bo(t,e.inputs);Yu(e,e.inputs,r)}}});var Qu,Xu=U(()=>{\"use strict\";J();et();ne();ae();Qu=(e,t,r)=>{let n=e.length>2,o=t.outputShape,i=t.format===\"NHWC\",a=t.group,d=e[1].dims,l=d[2]/a,p=d[3],m=i?me(l):1,u=i?me(p):1,h=i?p===1?m:u:1,_=k.size(o)/u,y=[Math.ceil(_/64),1,1];se(\"verbose\",()=>`[conv2d_backprop_webgpu] dispatch = ${y}`);let g=[\"rank\",\"rank\"],x=[t.strides[0],t.strides[1]],$=[t.kernelShape[i?1:2],t.kernelShape[i?2:3]],v=[t.dilations[0],t.dilations[1]],S=[$[0]+(t.dilations[0]<=1?0:(t.kernelShape[i?1:2]-1)*(t.dilations[0]-1)),$[1]+(t.dilations[1]<=1?0:(t.kernelShape[i?2:3]-1)*(t.dilations[1]-1))],T=[S[0]-1-Math.floor((t.pads[0]+t.pads[2])/2),S[1]-1-Math.floor((t.pads[1]+t.pads[3])/2)],A=[{type:12,data:_},{type:12,data:x},{type:12,data:$},{type:12,data:v},{type:12,data:S},{type:6,data:T},{type:12,data:l},{type:12,data:p},...N(e[0].dims,e[1].dims)];n&&(A.push(...N(e[2].dims)),g.push(\"rank\")),A.push(...N(o));let C=P=>{let D=[{name:\"output_size\",type:\"u32\"},{name:\"strides\",type:\"u32\",length:x.length},{name:\"filter_dims\",type:\"u32\",length:$.length},{name:\"dilations\",type:\"u32\",length:$.length},{name:\"effective_filter_dims\",type:\"u32\",length:S.length},{name:\"pads\",type:\"i32\",length:T.length},{name:\"input_channels_per_group\",type:\"u32\"},{name:\"output_channels_per_group\",type:\"u32\"}],R=ye(e[0].dataType),H=i?1:2,L=i?2:3,re=i?3:1,V=E(\"W\",e[1].dataType,e[1].dims.length,h),K=E(\"Dy\",e[0].dataType,e[0].dims.length,m),we=[K,V];n&&we.push(E(\"bias\",e[2].dataType,[o[re]].length,u));let j=M(\"result\",e[0].dataType,o.length,u),Q=()=>{let te=\"\";if(m===1)te+=`\n let w_offset = ${V.indicesToOffset(`${V.type.indices}(u32(wRPerm), u32(wCPerm), inputChannel, wOutChannel)`)};\n let wValue = ${V.getByOffset(`w_offset / ${h}`)};\n dotProd = dotProd + xValue * wValue;`;else if(p===1)te+=`\n let wValue = ${V.getByOffset(`${V.indicesToOffset(`${V.type.indices}(u32(wRPerm), u32(wCPerm), inputChannel, wOutChannel)`)} / ${h}`)};\n dotProd = dotProd + dot(xValue, wValue);`;else for(let be=0;be<m;be++)te+=`\n let wValue${be} = ${V.getByOffset(`${V.indicesToOffset(`${V.type.indices}(u32(wRPerm), u32(wCPerm), inputChannel + ${be}, wOutChannel)`)} / ${h}`)};\n dotProd = dotProd + xValue[${be}] * wValue${be};`;return te},ie=`\n let outputIndices = ${j.offsetToIndices(`global_idx * ${u}`)};\n let batch = ${j.indicesGet(\"outputIndices\",0)};\n let d1 = ${j.indicesGet(\"outputIndices\",re)};\n let r = ${j.indicesGet(\"outputIndices\",H)};\n let c = ${j.indicesGet(\"outputIndices\",L)};\n let dyCorner = vec2<i32>(i32(r), i32(c)) - uniforms.pads;\n let dyRCorner = dyCorner.x;\n let dyCCorner = dyCorner.y;\n let groupId = d1 / uniforms.output_channels_per_group;\n let wOutChannel = d1 - groupId * uniforms.output_channels_per_group;\n // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n // ? = to be determined. : = across all values in that axis.\n var dotProd = ${j.type.value}(0.0);\n var wR: u32 = 0;\n if (uniforms.dilations.x == 1) {\n // Minimum wR >= 0 that satisfies (dyRCorner + wR) % (uniforms.strides.x) == 0\n wR = u32(((dyRCorner + i32(uniforms.strides.x) - 1) / i32(uniforms.strides.x)) * i32(uniforms.strides.x) - dyRCorner);\n }\n for (; wR < uniforms.effective_filter_dims.x; wR = wR + 1) {\n if (wR % uniforms.dilations.x != 0) {\n continue;\n }\n let dyR = (${R}(dyRCorner) + ${R}(wR)) / ${R}(uniforms.strides[0]);\n let wRPerm = uniforms.filter_dims.x - 1 - wR / uniforms.dilations.x;\n if (dyR < 0.0 || dyR >= ${R}(uniforms.Dy_shape[${H}]) || fract(dyR) > 0.0 ||\n wRPerm < 0) {\n continue;\n }\n let idyR: u32 = u32(dyR);\n var wC: u32 = 0;\n if (uniforms.dilations.y == 1) {\n // Minimum wC >= 0 that satisfies (dyCCorner + wC) % (uniforms.strides.y) == 0\n wC = u32(((dyCCorner + i32(uniforms.strides.y) - 1) / i32(uniforms.strides.y)) * i32(uniforms.strides.y) - dyCCorner);\n }\n\n for (; wC < uniforms.effective_filter_dims.y; wC = wC + 1) {\n if (wC % uniforms.dilations.y != 0) {\n continue;\n }\n let dyC = (${R}(dyCCorner) + ${R}(wC)) / ${R}(uniforms.strides.y);\n let wCPerm = uniforms.filter_dims.y - 1 - wC / uniforms.dilations.y;\n if (dyC < 0.0 || dyC >= ${R}(uniforms.Dy_shape[${L}]) ||\n fract(dyC) > 0.0 || wCPerm < 0) {\n continue;\n }\n let idyC: u32 = u32(dyC);\n var inputChannel = groupId * uniforms.input_channels_per_group;\n for (var d2: u32 = 0; d2 < uniforms.input_channels_per_group; d2 = d2 + ${m}) {\n let xValue = ${i?K.getByOffset(`${K.indicesToOffset(`${K.type.indices}(batch, idyR, idyC, inputChannel)`)} / ${m}`):K.get(\"batch\",\"inputChannel\",\"idyR\",\"idyC\")};\n ${Q()}\n inputChannel = inputChannel + ${m};\n }\n wC = wC + uniforms.strides.y - 1;\n }\n wR = wR + uniforms.strides[0] - 1;\n }\n let value = dotProd${n?` + bias[d1 / ${u}]`:\"\"};\n ${j.setByOffset(\"global_idx\",\"value\")};\n `;return`\n ${P.registerUniforms(D).declareVariables(...we,j)}\n ${P.mainStart()}\n ${P.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.output_size\")};\n ${ie}}`};return{name:\"ConvTranspose2D\",shaderCache:{hint:`${t.cacheKey};${m}${h}${u}${p===1}`,inputDependencies:g},getRunData:()=>({dispatchGroup:{x:y[0],y:y[1],z:y[2]},outputs:[{dims:r?r(o):o,dataType:e[0].dataType}],programUniforms:A}),getShaderSource:C}}});var bf,yf,_f,Ju,ed,wf,td,vf,rd,nd=U(()=>{\"use strict\";Xu();yt();dt();bf=(e,t,r,n,o,i)=>(e-1)*t+r+(n-1)*o+1-i,yf=(e,t,r,n,o)=>{let i=Math.floor(e/2);t===\"SAME_UPPER\"?(r[n]=i,r[o]=e-i):t===\"SAME_LOWER\"&&(r[n]=e-i,r[o]=i)},_f=(e,t,r,n,o,i,a,d,l,p)=>{let m=e.length-2,u=p.length===0;l.length<m&&l.push(...Array(m-l.length).fill(0));let h=e[0],_=t[d?3:1]*o;for(let y=0,g=e.length-m-(d?1:0);y<m;++y,++g){let x=e[g],$=u?x*a[y]:p[y],v=bf(x,a[y],i[y],t[g],r[y],$);yf(v,n,i,y,y+m),u&&p.push(a[y]*(x-1)+l[y]+(t[g]-1)*r[y]+1-i[y]-i[y+m])}p.splice(0,0,h),p.splice(d?3:1,0,_)},Ju=(e,t)=>{let r=e.kernelShape.slice();if(e.kernelShape.length===0||e.kernelShape.reduce((u,h)=>u*h,1)===0){r.length=0;for(let u=2;u<t[1].dims.length;++u)r.push(t[1].dims[u])}let n=e.format===\"NHWC\";r.splice(0,0,t[1].dims[0]),r.splice(n?3:1,0,t[1].dims[1]);let o=e.pads.slice(),i=e.outputShape.slice(),a=e.outputPadding.slice(),d=t[0].dims,l=e.dilations.slice();if(l.reduce((u,h)=>u+h,0)===0){let u=t[0].dims.length-2;l=new Array(u).fill(1)}let p=e.strides.slice();if(p.reduce((u,h)=>u+h,0)===0){let u=t[0].dims.length-2;p=new Array(u).fill(1)}_f(d,r,l,e.autoPad,e.group,o,p,n,a,i);let m=Object.assign({},e);return Object.assign(m,{kernelShape:r,pads:o,outputPadding:a,outputShape:i,dilations:l,strides:p}),m},ed=e=>{let t=Kr(e),r=e.format,n=[\"NOTSET\",\"VALID\",\"SAME_UPPER\",\"SAME_LOWER\"][typeof e.autoPad>\"u\"?0:e.autoPad],o=e.dilations,i=e.group,a=e.kernelShape,d=e.pads,l=e.strides,p=e.wIsConst(),m=e.outputPadding,u=e.outputShape;return{autoPad:n,format:r,dilations:o,group:i,kernelShape:a,outputPadding:m,outputShape:u,pads:d,strides:l,wIsConst:p,...t,cacheKey:`${e.format};${t.activation};`}},wf=(e,t)=>{if(!e||e.length!==2&&e.length!==3)throw new Error(\"Conv requires 2 or 3 inputs\");if(e[0].dims.length!==4&&e[0].dims.length!==3)throw new Error(\"currently only support 2-dimensional conv\");if(e[0].dims.length!==e[1].dims.length)throw new Error(\"filter does not have same dimension as input\");let r=e[0].dims[t.format===\"NHWC\"?e[0].dims.length-1:1],n=e[1].dims[0];if(r!==n)throw new Error(\"FILTER_IN_CHANNEL should be equal to DATA_CHANNEL\");let o=e[1].dims[1]*t.group;if(e.length===3&&(e[2].dims.length!==1||e[2].dims[0]!==o))throw new Error(\"invalid bias\");let i=e[0].dims.length-2;if(t.dilations.reduce((m,u)=>m+u,0)>0&&t.dilations.length!==i)throw new Error(`dilations should be ${i}D`);if(t.strides.reduce((m,u)=>m+u,0)>0&&t.strides.length!==i)throw new Error(`strides should be ${i}D`);if(t.pads.reduce((m,u)=>m+u,0)>0&&t.pads.length!==i*2)throw new Error(`pads should be ${i*2}D`);if(t.outputPadding.length!==i&&t.outputPadding.length!==0)throw new Error(`output_padding should be ${i}D`);if(t.kernelShape.reduce((m,u)=>m+u,0)>0&&t.kernelShape.length!==0&&t.kernelShape.length!==e[1].dims.length-2)throw new Error(\"invalid kernel shape\");if(t.outputShape.length!==0&&t.outputShape.length!==e[0].dims.length-2)throw new Error(\"invalid output shape\")},td=(e,t,r,n)=>{let o=e.kernelCustomData.wT??e.compute(Pe(t[1],[2,3,0,1]),{inputs:[1],outputs:[r.wIsConst?-2:-1]})[0];r.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=o);let i=[t[0],o];t.length===3&&i.push(t[2]),e.compute(Qu(i,r,n),{inputs:i})},vf=(e,t)=>{let r=t.format===\"NHWC\",n=[e.inputs[0].reshape(r?[e.inputs[0].dims[0],1,e.inputs[0].dims[1],e.inputs[0].dims[2]]:[e.inputs[0].dims[0],e.inputs[0].dims[1],1,e.inputs[0].dims[2]]),e.inputs[1].reshape([e.inputs[1].dims[0],e.inputs[1].dims[1],1,e.inputs[1].dims[2]])];e.inputs.length===3&&n.push(e.inputs[2]);let o=t.kernelShape;(o.length===0||o[0]===0)&&(o=[e.inputs[1].dims[2]]);let i=t.dilations;(i.length===0||i[0]===0)&&(i=[1]);let a=t.strides;(a.length===0||a[0]===0)&&(a=[1]);let d=t.pads;d.length===0&&(d=[0,0]),d=[0,d[0],0,d[1]],a=[1].concat(a),i=[1].concat(i),o=[1].concat(o);let l=t.outputPadding;l=[0].concat(l);let p=Ju({...t,pads:d,strides:a,dilations:i,kernelShape:o,outputPadding:l},n);td(e,n,p,m=>r?[m[0],m[2],m[3]]:[m[0],m[1],m[3]])},rd=(e,t)=>{if(wf(e.inputs,t),e.inputs[0].dims.length===3)vf(e,t);else{let r=Ju(t,e.inputs);td(e,e.inputs,r)}}});var $f,od,id,ad=U(()=>{\"use strict\";J();ne();xe();ae();$f=(e,t,r,n)=>{let o=k.size(t),i=t.length,a=E(\"input\",e,i),d=M(\"output\",e,i),l=r.dataType===6?r.getInt32Array()[0]:Number(r.getBigInt64Array()[0]),p=k.normalizeAxis(l,i),m=u=>{let h=` i32(${a.indicesGet(\"inputIndices\",\"uniforms.axis\")}) `,_=q(\"uniforms.input_shape\",\"uniforms.axis\",i),y=n.reverse?h+(n.exclusive?\" + 1\":\"\"):\"0\",g=n.reverse?_:h+(n.exclusive?\"\":\" + 1\");return`\n ${u.registerUniform(\"outputSize\",\"u32\").registerUniform(\"axis\",\"u32\").declareVariables(a,d)}\n ${u.mainStart()}\n ${u.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.outputSize\")}\n var inputIndices = ${d.offsetToIndices(\"global_idx\")};\n var sum = ${d.type.value}(0);\n let first : i32 = ${y};\n let last : i32 = ${g};\n for (var i : i32 = first; i < last; i++) {\n ${a.indicesSet(\"inputIndices\",\"uniforms.axis\",\"u32(i)\")};\n sum = sum + ${a.getByIndices(\"inputIndices\")};\n }\n ${d.setByOffset(\"global_idx\",\"sum\")};\n }`};return{name:\"CumSum\",shaderCache:{hint:n.cacheKey,inputDependencies:[\"rank\"]},getRunData:()=>({outputs:[{dims:t,dataType:e}],dispatchGroup:{x:Math.ceil(o/64)},programUniforms:[{type:12,data:o},{type:12,data:p},...N(t,t)]}),getShaderSource:m}},od=(e,t)=>{let r=e.inputs[0].dims,n=e.inputs[0].dataType,o=e.inputs[1];e.compute($f(n,r,o,t),{inputs:[0]})},id=e=>{let t=e.exclusive===1,r=e.reverse===1;return ee({exclusive:t,reverse:r})}});var xf,Sf,Tf,sd,ud,dd=U(()=>{\"use strict\";J();ne();xe();ae();xf=e=>{if(!e||e.length!==1)throw new Error(\"DepthToSpace requires 1 input.\");if(e[0].dims.length!==4)throw new Error(\"DepthToSpace requires 4D input.\")},Sf=(e,t,r,n)=>{let o=[];o.push(`fn perm(i: ${n.type.indices}) -> ${r.type.indices} {\n var a: ${r.type.indices};`);for(let i=0;i<t;++i)o.push(r.indicesSet(\"a\",e[i],`i[${i}]`));return o.push(\"return a;}\"),o.join(`\n`)},Tf=(e,t)=>{let r,n,o,i,a,d,l=t.format===\"NHWC\",p=t.blocksize,m=t.mode===\"DCR\";l?([r,n,o,i]=e.dims,a=m?[r,n,o,p,p,i/p**2]:[r,n,o,i/p**2,p,p],d=m?[0,1,3,2,4,5]:[0,1,4,2,5,3]):([r,n,o,i]=[e.dims[0],e.dims[2],e.dims[3],e.dims[1]],a=m?[r,p,p,i/p**2,n,o]:[r,i/p**2,p,p,n,o],d=m?[0,3,4,1,5,2]:[0,1,4,2,5,3]);let u=e.reshape(a),h=u.dims.length,_=e.dataType,y=E(\"a\",_,h),g=M(\"output\",_,h),x=$=>`\n ${$.registerUniform(\"output_size\",\"u32\").declareVariables(y,g)}\n\n ${Sf(d,h,y,g)}\n\n ${$.mainStart()}\n ${$.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.output_size\")}\n\n let indices = ${g.offsetToIndices(\"global_idx\")};\n let aIndices = perm(indices);\n\n ${g.setByOffset(\"global_idx\",y.getByIndices(\"aIndices\"))}\n }`;return{name:\"DepthToSpace\",shaderCache:{hint:`${e.dims};${t.blocksize};${t.mode}`,inputDependencies:[\"rank\"]},getRunData:$=>{let 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${m.registerUniforms(l.map(A=>({name:`${cd(A)}`,type:\"u32\"}))).registerUniform(\"outputSize\",\"u32\").declareVariables(...i,d)}\n\n ${m.mainStart()}\n ${m.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.outputSize\")}\n var outputIndices = ${d.offsetToIndices(\"global_idx\")};\n ${i.map((A,C)=>`var input${C}Indices: ${i[C].type.indices};`).join(`\n`)}\n ${T.join(`\n`)};\n ${d.setByOffset(\"global_idx\",\"sum\")};\n }`};return{name:\"Einsum\",shaderCache:{hint:r.equation,inputDependencies:e.map(()=>\"rank\")},getRunData:()=>{let m=l.filter(h=>r.symbolToInfo.has(h)).map(h=>({type:12,data:r.symbolToInfo.get(h)?.dimValue||0}));m.push({type:12,data:a});let u=e.map((h,_)=>[...N(h)]).reduce((h,_)=>h.concat(_),m);return u.push(...N(n)),{outputs:[{dims:n,dataType:t}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:u}},getShaderSource:p}},pd=(e,t)=>{let r=new $o(e.inputs,t.equation),n=r.outputDims,o=e.inputs.map((i,a)=>i.dims);e.compute(Af(o,e.inputs[0].dataType,r,n))},md=e=>{let t=e.equation.replace(/\\s+/g,\"\");return ee({equation:t})}});var kf,hd,Ef,Pf,gd,bd=U(()=>{\"use strict\";J();ne();ae();kf=e=>{if(!e||e.length!==2)throw new Error(\"Expand requires 2 input.\");let t=e[0].dims,r=Array.from(e[1].getBigInt64Array(),Number),n=r.length<t.length?0:r.length-t.length,o=t.length<r.length?0:t.length-r.length;for(;n<r.length&&o<t.length;++n,++o)if(r[n]!==t[o]&&r[n]!==1&&t[o]!==1)throw new Error(\"Expand requires shape to be broadcastable to input\")},hd=(e,t)=>{let r=e.length-t.length,n=[];for(let o=0;o<r;++o)n.push(e[o]);for(let o=0;o<t.length;++o)n.push(t[o]===1?e[o+r]:t[o]);return n},Ef=(e,t)=>e.length>t.length?hd(e,t):hd(t,e),Pf=e=>{let t=e[0].dims,r=Array.from(e[1].getBigInt64Array(),Number),n=Ef(t,r),o=e[0].dataType,i=o===9||k.size(t)===1,a=o===9||t.length>0&&t[t.length-1]%4===0?4:1,d=i||n.length>0&&n[n.length-1]%4===0?4:1,l=Math.ceil(k.size(n)/d),p=u=>{let h=E(\"input\",o,t.length,a),_=M(\"output\",o,n.length,d),y;if(o===9){let g=(x,$,v=\"\")=>`\n let 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${y}`},m=[{type:12,data:l},...N(t,n)];return{name:\"Expand\",shaderCache:{hint:`${n.length};${a}${d}`,inputDependencies:[\"rank\"]},getShaderSource:p,getRunData:()=>({outputs:[{dims:n,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:m})}},gd=e=>{kf(e.inputs),e.compute(Pf(e.inputs),{inputs:[0]})}});var zf,yd,_d=U(()=>{\"use strict\";J();ne();ae();qr();zf=e=>{let t=e[0].dataType,r=k.size(e[0].dims),n=k.size(e[1].dims),o=n%4===0,i=a=>{let d=E(\"x\",t,[1],4),l=E(\"bias\",t,[1],4),p=M(\"y\",t,[1],4),m=[{name:\"output_vec_size\",type:\"u32\"},{name:\"bias_size\",type:\"u32\"}],u=_=>`\n let bias${_}_offset: u32 = (global_idx * 4 + ${_}) % uniforms.bias_size;\n let bias${_} = ${l.getByOffset(`bias${_}_offset / 4`)}[bias${_}_offset % 4];`,h=o?`\n let bias = ${l.getByOffset(\"global_idx % (uniforms.bias_size / 4)\")};`:`${u(0)}${u(1)}${u(2)}${u(3)}\n let bias = ${d.type.value}(bias0, bias1, bias2, bias3);`;return`${a.registerUniforms(m).declareVariables(d,l,p)}\n\n ${po(Ee(t))}\n\n ${a.mainStart(Et)}\n ${a.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.output_vec_size\")}\n\n let x = ${d.getByOffset(\"global_idx\")};\n ${h}\n let x_in = x + bias;\n ${p.setByOffset(\"global_idx\",mo(\"x_in\"))}\n }`};return{name:\"FastGeluWithBias\",shaderCache:{hint:`${o}`,inputDependencies:[\"type\",\"type\"]},getShaderSource:i,getRunData:a=>({outputs:[{dims:a[0].dims,dataType:a[0].dataType}],programUniforms:[{type:12,data:Math.ceil(r/4)},{type:12,data:n}],dispatchGroup:{x:Math.ceil(r/Et/4)}})}},yd=e=>{e.inputs.length<2||k.size(e.inputs[1].dims)===0?fu(e):e.compute(zf(e.inputs))}});var Of,Df,wd,vd,$d=U(()=>{\"use strict\";J();ne();xe();ae();Of=e=>{if(!e||e.length!==2)throw new Error(\"Gather requires 2 inputs.\")},Df=(e,t)=>{let r=e[0].dims,n=e[1].dims,o=r.length,i=k.normalizeAxis(t.axis,o),a=r.slice(0);a.splice(i,1,...n);let d=r[i],l=e[0].dataType===9?4:1,p=Math.ceil(k.size(a)/l),m=[{type:12,data:p},{type:6,data:d},{type:12,data:i},...N(e[0].dims,e[1].dims,a)],u=h=>{let _=E(\"data\",e[0].dataType,e[0].dims.length,l),y=E(\"inputIndices\",e[1].dataType,e[1].dims.length),g=M(\"output\",e[0].dataType,a.length,l),x=v=>{let S=n.length,T=`var indicesIndices${v} = ${y.type.indices}(0);`;for(let A=0;A<S;A++)T+=`${S>1?`indicesIndices${v}[${A}]`:`indicesIndices${v}`} = ${a.length>1?`outputIndices${v}[uniforms.axis + ${A}]`:`outputIndices${v}`};`;T+=`\n var idx${v} = ${y.getByIndices(`indicesIndices${v}`)};\n if (idx${v} < 0) {\n idx${v} = idx${v} + uniforms.axisDimLimit;\n }\n var dataIndices${v} : ${_.type.indices};\n `;for(let A=0,C=0;A<o;A++)A===i?(T+=`${o>1?`dataIndices${v}[${A}]`:`dataIndices${v}`} = u32(idx${v});`,C+=S):(T+=`${o>1?`dataIndices${v}[${A}]`:`dataIndices${v}`} = ${a.length>1?`outputIndices${v}[${C}]`:`outputIndices${v}`};`,C++);return T},$;if(e[0].dataType===9){let v=(S,T,A=\"\")=>`\n let outputIndices${T} = ${g.offsetToIndices(`outputOffset + ${T}u`)};\n ${x(T)};\n let offset${T} = ${_.indicesToOffset(`dataIndices${T}`)};\n let index${T} = offset${T} / 4u;\n let component${T} = offset${T} % 4u;\n ${S}[${T}] = ${A}(${_.getByOffset(`index${T}`)}[component${T}]);\n `;$=`\n let outputOffset = global_idx * ${l};\n var value = vec4<u32>(0);\n ${v(\"value\",0,\"u32\")}\n ${v(\"value\",1,\"u32\")}\n ${v(\"value\",2,\"u32\")}\n ${v(\"value\",3,\"u32\")}\n ${g.setByOffset(\"global_idx\",\"value\")}\n `}else $=`\n let outputIndices = ${g.offsetToIndices(\"global_idx\")};\n ${x(\"\")};\n let value = ${_.getByIndices(\"dataIndices\")};\n ${g.setByOffset(\"global_idx\",\"value\")};\n `;return`\n ${h.registerUniform(\"outputSize\",\"u32\").registerUniform(\"axisDimLimit\",\"i32\").registerUniform(\"axis\",\"u32\").declareVariables(_,y,g)}\n ${h.mainStart()}\n ${h.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.outputSize\")}\n ${$}\n }`};return{name:\"Gather\",shaderCache:{hint:t.cacheKey,inputDependencies:[\"rank\",\"rank\"]},getRunData:()=>({outputs:[{dims:a,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(p/64)},programUniforms:m}),getShaderSource:u}},wd=e=>ee({axis:e.axis}),vd=(e,t)=>{let r=e.inputs;Of(r),e.compute(Df(e.inputs,t))}});var Bf,xd,Sd,Td=U(()=>{\"use strict\";J();ne();ae();Bf=(e,t,r,n,o,i,a,d,l)=>{let p=[{type:12,data:i},{type:12,data:n},{type:12,data:o},{type:12,data:r},{type:12,data:a},{type:12,data:d},{type:12,data:l}],m=[i];p.push(...N(t.dims,m));let u=h=>{let _=E(\"indices_data\",t.dataType,t.dims.length),y=M(\"input_slice_offsets_data\",12,1,1),g=[_,y],x=[{name:\"output_size\",type:\"u32\"},{name:\"batch_dims\",type:\"u32\"},{name:\"input_dims\",type:\"u32\",length:o.length},{name:\"sizes_from_slice_dims_data\",type:\"u32\",length:r.length},{name:\"num_slices_per_batch\",type:\"u32\"},{name:\"input_batch_stride\",type:\"u32\"},{name:\"num_slice_dims\",type:\"u32\"}];return`\n ${h.registerUniforms(x).declareVariables(...g)}\n ${h.mainStart()}\n ${h.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.output_size\")}\n let batch_idx = global_idx / uniforms.num_slices_per_batch;\n let base_offset = batch_idx * uniforms.input_batch_stride;\n\n let slice_indices_base_offset = global_idx * uniforms.num_slice_dims;\n var relative_slice_offset = 0;\n for (var dim_idx = 0u; dim_idx < uniforms.num_slice_dims; dim_idx ++) {\n var index = i32(indices_data[dim_idx + slice_indices_base_offset].x);\n let input_dim_idx = uniforms.batch_dims + dim_idx;\n if (index < 0) {\n ${o.length===1?\"index += i32(uniforms.input_dims);\":\"index += i32(uniforms.input_dims[input_dim_idx]);\"}\n }\n ${r.length===1?\"relative_slice_offset += index * i32(uniforms.sizes_from_slice_dims_data);\":\"relative_slice_offset += index * i32(uniforms.sizes_from_slice_dims_data[dim_idx]);\"}\n }\n\n input_slice_offsets_data[global_idx] = base_offset + u32(relative_slice_offset);\n }`};return e.compute({name:\"computeSliceOffsets\",shaderCache:{hint:`${o.length}_${r.length}`,inputDependencies:[\"rank\"]},getRunData:()=>({outputs:[{dims:m,dataType:e.inputs[1].dataType}],dispatchGroup:{x:Math.ceil(i/64)},programUniforms:p}),getShaderSource:u},{inputs:[t],outputs:[-1]})[0]},xd=(e,t)=>{let r=e.inputs,n=r[0].dims,o=r[0].dataType,i=r[1].dims,a=i[i.length-1],d=k.sizeToDimension(i,i.length-1),l=k.sizeFromDimension(n,t.batchDims+a),p=k.sizeToDimension(n,t.batchDims),m=k.sizeFromDimension(n,t.batchDims),u=d/p,h=new Array(a),_=l;for(let T=0;T<a;++T)h[a-1-T]=_,_*=n[t.batchDims+a-1-T];let y=Bf(e,r[1],h,t.batchDims,n,d,u,m,a),g=t.batchDims+a;if(g>n.length)throw new Error(\"last dimension of indices must not be larger than rank of input tensor\");let x=i.slice(0,-1).concat(n.slice(g)),$=k.size(x),v=[{type:12,data:$},{type:12,data:l},...N(r[0].dims,y.dims,x)],S=T=>{let A=E(\"data\",r[0].dataType,r[0].dims.length),C=E(\"slice_offsets\",12,y.dims.length),P=M(\"output\",r[0].dataType,x.length);return`\n ${T.registerUniform(\"output_size\",\"u32\").registerUniform(\"slice_size\",\"u32\").declareVariables(A,C,P)}\n ${T.mainStart()}\n ${T.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.output_size\")}\n let slice_offset = slice_offsets[global_idx / uniforms.slice_size];\n output[global_idx] = data[u32(slice_offset) + global_idx % uniforms.slice_size];\n }`};e.compute({name:\"GatherND\",shaderCache:{hint:t.cacheKey,inputDependencies:[\"rank\",\"rank\"]},getRunData:()=>({outputs:[{dims:x,dataType:o}],dispatchGroup:{x:Math.ceil($/64)},programUniforms:v}),getShaderSource:S},{inputs:[r[0],y]})},Sd=e=>({batchDims:e.batch_dims,cacheKey:\"\"})});var Mf,Rf,Id,Cd,Ad=U(()=>{\"use strict\";J();ne();xe();ae();Mf=(e,t)=>{if(e.length<3||e.length>4)throw new Error(\"GatherBlockQuantized requires 3 or 4 inputs.\");let r=k.normalizeAxis(t.quantizeAxis,e[0].dims.length),n=t.blockSize,o=e[0],i=e[2],a=e.length===4?e[3]:void 0;if(i.dims.length!==o.dims.length||!o.dims.map((d,l)=>l===r?Math.ceil(d/n)===i.dims[l]:d===i.dims[l]).reduce((d,l)=>d&&l,!0))throw new Error(\"Scales must have the same rank as the input tensor and the dims should match except on gatherAxis.\");if(a){if(a.dataType!==o.dataType)throw new Error(\"Zero point must have the same data type as the input tensor.\");if(a.dims.length!==i.dims.length||!a.dims.map((d,l)=>d===i.dims[l]).reduce((d,l)=>d&&l,!0))throw new Error(\"Zero point must have the same rank as the input tensor and the dims should match except on quantizeAxis.\")}},Rf=(e,t)=>{let r=e[0].dims,n=e[1].dims,o=r.length,i=k.normalizeAxis(t.gatherAxis,o),a=k.normalizeAxis(t.quantizeAxis,o),d=r.slice(0);d.splice(i,1,...n);let l=k.size(d),p=e[2].dataType,u=e[0].dataType===22,h=[{type:12,data:l},{type:12,data:a},{type:12,data:i},{type:12,data:t.blockSize},...N(...e.map((y,g)=>y.dims),d)],_=y=>{let g=E(\"data\",e[0].dataType,e[0].dims.length),x=E(\"inputIndices\",e[1].dataType,e[1].dims.length),$=E(\"scales\",e[2].dataType,e[2].dims.length),v=e.length>3?E(\"zeroPoint\",e[3].dataType,e[3].dims.length):void 0,S=M(\"output\",p,d.length),T=[g,x,$];v&&T.push(v);let A=[{name:\"output_size\",type:\"u32\"},{name:\"quantize_axis\",type:\"u32\"},{name:\"gather_axis\",type:\"u32\"},{name:\"block_size\",type:\"u32\"}];return`\n ${y.registerUniforms(A).declareVariables(...T,S)}\n ${y.mainStart()}\n let output_indices = ${S.offsetToIndices(\"global_idx\")};\n var indices_indices = ${x.type.indices}(0);\n ${(()=>n.length>1?`\n for (var i: u32 = 0; i < ${n.length}; i++) {\n let index = ${S.indicesGet(\"output_indices\",\"uniforms.gather_axis + i\")};\n ${x.indicesSet(\"indices_indices\",\"i\",\"index\")};\n }`:`indices_indices = ${S.indicesGet(\"output_indices\",\"uniforms.gather_axis\")};`)()};\n var data_indices = ${g.type.indices}(0);\n for (var i: u32 = 0; i < uniforms.gather_axis; i++) {\n let index = ${S.indicesGet(\"output_indices\",\"i\")};\n ${g.indicesSet(\"data_indices\",\"i\",\"index\")};\n }\n var index_from_indices = ${x.getByIndices(\"indices_indices\")};\n if (index_from_indices < 0) {\n index_from_indices += ${r[i]};\n }\n ${g.indicesSet(\"data_indices\",\"uniforms.gather_axis\",\"u32(index_from_indices)\")};\n for (var i = uniforms.gather_axis + 1; i < ${d.length}; i++) {\n let index = ${S.indicesGet(\"output_indices\",`i + ${n.length} - 1`)};\n ${g.indicesSet(\"data_indices\",\"i\",\"index\")};\n }\n let data_offset = ${g.indicesToOffset(\"data_indices\")};\n let data_index = data_offset % 8;\n // Convert 4-bit packed data to 8-bit packed data.\n let packed_4bit_quantized_data = ${g.getByOffset(\"data_offset / 8\")};\n let packed_8bit_quantized_data = (packed_4bit_quantized_data >> (4 * (data_index % 2))) & 0x0f0f0f0f;\n let quantized_data_vec = ${u?\"unpack4xI8\":\"unpack4xU8\"}(u32(packed_8bit_quantized_data));\n let quantized_data = quantized_data_vec[data_index / 2];\n var scale_indices = data_indices;\n let quantize_axis_index = ${$.indicesGet(\"data_indices\",\"uniforms.quantize_axis\")} / uniforms.block_size;\n ${$.indicesSet(\"scale_indices\",\"uniforms.quantize_axis\",\"quantize_axis_index\")};\n var scale = ${$.getByIndices(\"scale_indices\")};\n ${(()=>v?`\n let zero_point_indices = scale_indices;\n let zero_point_offset = ${v.indicesToOffset(\"zero_point_indices\")};\n let zero_point_index = zero_point_offset % 8;\n let packed_4bit_zero_points = ${v.getByOffset(\"zero_point_offset / 8\")};\n let packed_8bit_zero_points = (packed_4bit_zero_points >> (4 * (zero_point_index % 2))) & 0x0f0f0f0f;\n let zero_point_vec = ${u?\"unpack4xI8\":\"unpack4xU8\"}(u32(packed_8bit_zero_points));\n let zero_point = zero_point_vec[zero_point_index / 2];`:\"var zero_point = 0\")()};\n let dequantized_data = ${Ee(p)}(quantized_data - zero_point) * scale;\n ${S.setByOffset(\"global_idx\",\"dequantized_data\")};\n }`};return{name:\"GatherBlockQuantized\",shaderCache:{hint:`${t.cacheKey};${e.filter((y,g)=>g!==1).map(y=>y.dims.join(\"_\")).join(\";\")}`,inputDependencies:Array.from({length:e.length},(y,g)=>\"rank\")},getRunData:()=>({outputs:[{dims:d,dataType:p}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:h}),getShaderSource:_}},Id=(e,t)=>{let r=e.inputs;Mf(r,t),e.compute(Rf(e.inputs,t))},Cd=e=>ee({blockSize:e.blockSize,gatherAxis:e.gatherAxis,quantizeAxis:e.quantizeAxis})});var Uf,Nf,kd,Ed,Pd=U(()=>{\"use strict\";J();ne();xe();ae();Uf=e=>{if(!e||e.length!==2)throw new Error(\"GatherElements requires 2 inputs.\");if(e[0].dims.length<1)throw new Error(\"GatherElements requires that the data input be rank >= 1.\");if(e[0].dims.length!==e[1].dims.length)throw new Error(`GatherElements requires that the data input and\n indices input tensors be of same rank.`)},Nf=(e,t)=>{let r=e[0].dims,n=e[0].dataType,o=r.length,i=e[1].dims,a=e[1].dataType,d=k.normalizeAxis(t.axis,o),l=r[d],p=i.slice(0),m=k.size(p),u=E(\"input\",n,o),h=E(\"indicesInput\",a,i.length),_=M(\"output\",n,p.length),y=[{type:12,data:m},{type:6,data:l},{type:12,data:d}];return y.push(...N(r,i,p)),{name:\"GatherElements\",shaderCache:{inputDependencies:[\"rank\",\"rank\"]},getRunData:()=>({outputs:[{dims:p,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(m/64)},programUniforms:y}),getShaderSource:$=>`\n ${$.registerUniform(\"outputSize\",\"u32\").registerUniform(\"axisDimLimit\",\"i32\").registerUniform(\"axis\",\"u32\").declareVariables(u,h,_)}\n ${$.mainStart()}\n ${$.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.outputSize\")}\n\n let outputIndices = ${_.offsetToIndices(\"global_idx\")};\n\n var idx = ${h.getByOffset(\"global_idx\")};\n if (idx < 0) {\n idx = idx + uniforms.axisDimLimit;\n }\n var inputIndices = ${u.type.indices}(outputIndices);\n ${u.indicesSet(\"inputIndices\",\"uniforms.axis\",\"u32(idx)\")};\n let value = ${u.getByIndices(\"inputIndices\")};\n\n ${_.setByOffset(\"global_idx\",\"value\")};\n }`}},kd=e=>ee({axis:e.axis}),Ed=(e,t)=>{let r=e.inputs;Uf(r),e.compute(Nf(e.inputs,t))}});var Vf,Wf,zd,Od,Dd=U(()=>{\"use strict\";J();ne();ae();Vf=e=>{if(!e)throw new Error(\"Input is missing\");if(e.length<2||e.length>3)throw new Error(\"Invaid input number.\");if(e.length===3&&e[2].dims.length>2)throw new Error(\"Invalid input shape of C\");if(e[0].dataType!==e[1].dataType||e.length===3&&e[0].dataType!==e[2].dataType)throw new Error(\"Input types are mismatched\")},Wf=(e,t)=>{let r=e[0].dims.slice(),n=e[1].dims.slice(),[o,i,a]=Nr.getShapeOfGemmResult(r,t.transA,n,t.transB,e.length===3?e[2].dims:void 0),d=[o,i];if(!d)throw new Error(\"Can't use gemm on the given tensors\");let l=16,p=Math.ceil(i/l),m=Math.ceil(o/l),u=!0,h=k.size(d),_=[{type:12,data:u?p:h},{type:12,data:o},{type:12,data:i},{type:12,data:a},{type:1,data:t.alpha},{type:1,data:t.beta}],y=[\"type\",\"type\"];e.length===3&&(_.push(...N(e[2].dims)),y.push(\"rank\")),_.push(...N(d));let g=$=>{let v=\"\";t.transA&&t.transB?v=\"value += a[k * uniforms.M + m] * b[n * uniforms.K + k];\":t.transA&&!t.transB?v=\"value += a[k * uniforms.M + m] * b[k * uniforms.N + n];\":!t.transA&&t.transB?v=\"value += a[m * uniforms.K + k] * b[n * uniforms.K + k];\":!t.transA&&!t.transB&&(v=\"value += a[m * uniforms.K + k] * b[k * uniforms.N + n];\");let S=t.alpha===1?\"\":\"value *= uniforms.alpha;\",T=E(\"a\",e[0].dataType,e[0].dims),A=E(\"b\",e[1].dataType,e[1].dims),C=T.type.value,P=null,D=[T,A];e.length===3&&(P=E(\"c\",e[2].dataType,e[2].dims.length),D.push(P));let R=M(\"output\",e[0].dataType,d.length);D.push(R);let H=[{name:\"output_size\",type:\"u32\"},{name:\"M\",type:\"u32\"},{name:\"N\",type:\"u32\"},{name:\"K\",type:\"u32\"},{name:\"alpha\",type:\"f32\"},{name:\"beta\",type:\"f32\"}];return`\n ${$.registerUniforms(H).declareVariables(...D)}\n\n ${$.mainStart()}\n ${$.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.output_size\")}\n\n let m = global_idx / uniforms.N;\n let n = global_idx % uniforms.N;\n\n var value = ${C}(0);\n for (var k: u32 = 0u; k < uniforms.K; k++) {\n ${v}\n }\n\n ${S}\n ${(()=>P!=null?`let cOffset = ${P.broadcastedIndicesToOffset(\"vec2(m, n)\",R)}; value += ${C}(uniforms.beta) * ${P.getByOffset(\"cOffset\")};`:\"\")()}\n output[global_idx] = value;\n }`},x=$=>{let v=E(\"a\",e[0].dataType,e[0].dims),S=E(\"b\",e[1].dataType,e[1].dims),T=null,A=[v,S];e.length===3&&(T=E(\"c\",e[2].dataType,e[2].dims.length),A.push(T));let C=M(\"output\",e[0].dataType,d.length);A.push(C);let P=[{name:\"num_tile_n\",type:\"u32\"},{name:\"M\",type:\"u32\"},{name:\"N\",type:\"u32\"},{name:\"K\",type:\"u32\"},{name:\"alpha\",type:\"f32\"},{name:\"beta\",type:\"f32\"}],D=\"\",R=\"\";t.transA&&t.transB?(R=`\n var col = tile_row_start + local_id.x;\n var row = k_start + local_id.y;\n if (col < uniforms.M && row < uniforms.K) {\n tile_a[local_id.y][local_id.x] = a[row * uniforms.M + col];\n } else {\n tile_a[local_id.y][local_id.x] = ${v.type.value}(0);\n }\n\n col = k_start + local_id.x;\n row = tile_col_start + local_id.y;\n if (col < uniforms.K && row < uniforms.N) {\n tile_b[local_id.y][local_id.x] = b[row * uniforms.K + col];\n } else {\n tile_b[local_id.y][local_id.x] = ${S.type.value}(0);\n }\n `,D=\"value += tile_a[k][local_id.y] * tile_b[local_id.x][k];\"):t.transA&&!t.transB?(R=`\n var col = tile_row_start + local_id.x;\n var row = k_start + local_id.y;\n if (col < uniforms.M && row < uniforms.K) {\n tile_a[local_id.y][local_id.x] = a[row * uniforms.M + col];\n } else {\n tile_a[local_id.y][local_id.x] = ${v.type.value}(0);\n }\n\n col = tile_col_start + local_id.x;\n row = k_start + local_id.y;\n if (col < uniforms.N && row < uniforms.K) {\n tile_b[local_id.y][local_id.x] = b[row * uniforms.N + col];\n } else {\n tile_b[local_id.y][local_id.x] = ${S.type.value}(0);\n }\n `,D=\"value += tile_a[k][local_id.y] * tile_b[k][local_id.x];\"):!t.transA&&t.transB?(R=`\n var col = k_start + local_id.x;\n var row = tile_row_start + local_id.y;\n if (col < uniforms.K && row < uniforms.M) {\n tile_a[local_id.y][local_id.x] = a[row * uniforms.K + col];\n } else {\n tile_a[local_id.y][local_id.x] = ${v.type.value}(0);\n }\n\n col = k_start + local_id.x;\n row = tile_col_start + local_id.y;\n if (col < uniforms.K && row < uniforms.N) {\n tile_b[local_id.y][local_id.x] = b[row * uniforms.K + col];\n } else {\n tile_b[local_id.y][local_id.x] = ${S.type.value}(0);\n }\n `,D=\"value += tile_a[local_id.y][k] * tile_b[local_id.x][k];\"):!t.transA&&!t.transB&&(R=`\n var col = k_start + local_id.x;\n var row = tile_row_start + local_id.y;\n if (col < uniforms.K && row < uniforms.M) {\n tile_a[local_id.y][local_id.x] = a[row * uniforms.K + col];\n } else {\n tile_a[local_id.y][local_id.x] = ${v.type.value}(0);\n }\n\n col = tile_col_start + local_id.x;\n row = k_start + local_id.y;\n if (col < uniforms.N && row < uniforms.K) {\n tile_b[local_id.y][local_id.x] = b[row * uniforms.N + col];\n } else {\n tile_b[local_id.y][local_id.x] = ${S.type.value}(0);\n }\n `,D=\"value += tile_a[local_id.y][k] * tile_b[k][local_id.x];\");let H=t.alpha===1?\"\":\"value *= uniforms.alpha;\";return`\n ${$.registerUniforms(P).declareVariables(...A)}\n var<workgroup> tile_a: array<array<${v.type.storage}, ${l}>, ${l}>;\n var<workgroup> tile_b: array<array<${S.type.storage}, ${l}>, ${l}>;\n ${$.mainStart([l,l,1])}\n let tile_col_start = (workgroup_index % uniforms.num_tile_n) * ${l};\n let tile_row_start = (workgroup_index / uniforms.num_tile_n) * ${l};\n let num_tiles = (uniforms.K - 1) / ${l} + 1;\n var k_start = 0u;\n var value = ${C.type.value}(0);\n for (var t: u32 = 0u; t < num_tiles; t++) {\n ${R}\n k_start = k_start + ${l};\n workgroupBarrier();\n\n for (var k: u32 = 0u; k < ${l}; k++) {\n ${D}\n }\n workgroupBarrier();\n }\n\n ${H}\n let m = tile_row_start + local_id.y;\n let n = tile_col_start + local_id.x;\n ${(()=>T!=null?`let cOffset = ${T.broadcastedIndicesToOffset(\"vec2(m, n)\",C)}; value += ${C.type.value}(uniforms.beta) * ${T.getByOffset(\"cOffset\")};`:\"\")()}\n if (m < uniforms.M && n < uniforms.N) {\n output[m * uniforms.N + n] = value;\n }\n }`};return u?{name:\"GemmShared\",shaderCache:{hint:`${t.cacheKey}`,inputDependencies:y},getRunData:()=>({outputs:[{dims:d,dataType:e[0].dataType}],dispatchGroup:{x:p*m},programUniforms:_}),getShaderSource:x}:{name:\"Gemm\",shaderCache:{hint:`${t.cacheKey}`,inputDependencies:y},getRunData:()=>({outputs:[{dims:d,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:_}),getShaderSource:g}},zd=e=>{let t=e.transA,r=e.transB,n=e.alpha,o=e.beta;return{transA:t,transB:r,alpha:n,beta:o,cacheKey:`${e.transA};${e.transB};${e.alpha===1}`}},Od=(e,t)=>{Vf(e.inputs),e.compute(Wf(e.inputs,t))}});var lt,_t,Nt,Vt,Lf,Gf,Hf,Ff,qf,Kf,jf,Yf,Bd,Md,Rd=U(()=>{\"use strict\";J();ne();xe();ae();[lt,_t,Nt,Vt]=[0,1,2,3],Lf=e=>{if(e[0].dims.length!==4)throw new Error(\"only 4-D tensor is supported.\");if(e[0].dims.length!==e[1].dims.length)throw new Error(\"input dimensions must be equal to grid dimensions\");if(e[0].dims.length-2!==e[1].dims[e[1].dims.length-1])throw new Error(`last dimension of grid must be equal to ${e[0].dims.length-2}`);if(e[0].dims[0]!==e[1].dims[0])throw new Error(\"grid batch size must match input batch size\")},Gf=`\n fn gs_get_cubic_coeffs(x: f32) -> vec4<f32> {\n let cubic_alpha = -0.75f;\n let x_abs = abs(x);\n var coeffs: vec4<f32>;\n coeffs[0] = (((cubic_alpha * (x_abs + 1) - 5 * cubic_alpha) * (x_abs + 1) + 8 * cubic_alpha) * (x_abs + 1) - 4 * cubic_alpha);\n coeffs[1] = (((cubic_alpha + 2) * x_abs - (cubic_alpha + 3)) * x_abs * x_abs + 1);\n coeffs[2] = (((cubic_alpha + 2) * (1 - x_abs) - (cubic_alpha + 3)) * (1 - x_abs) * (1 - x_abs) + 1);\n coeffs[3] = (((cubic_alpha * (2 - x_abs) - 5 * cubic_alpha) * (2 - x_abs) + 8 * cubic_alpha) * (2 - x_abs) - 4 * cubic_alpha);\n return coeffs;\n }\n`,Hf=e=>`\n fn gs_bicubic_interpolate(p: mat4x4<${e}>, x: f32, y: f32) -> ${e} {\n var v: vec4<f32>;\n var coeffs = gs_get_cubic_coeffs(x);\n for (var i = 0; i < 4; i++) {\n v[i] = coeffs[0] * p[i][0] + coeffs[1] * p[i][1] + coeffs[2] * p[i][2] + coeffs[3] * p[i][3];\n }\n coeffs = gs_get_cubic_coeffs(y);\n let pixel = ${e}(coeffs[0] * v[0] + coeffs[1] * v[1] + coeffs[2] * v[2] + coeffs[3] * v[3]);\n return pixel;\n }\n`,Ff=e=>`\n fn gs_denormalize(n: f32, length: i32) -> f32 {\n ${e.alignCorners===0?`\n // alignCorners: false => [-1, 1] to [-0.5, length - 0.5]\n return ((n + 1.0) * f32(length) - 1.0) / 2.0;\n `:`\n // alignCorners: true => [-1, 1] to [0, length - 1]\n return (n + 1.0) / 2.0 * (f32(length - 1));\n `}\n }\n`,qf=e=>`\n ${e.paddingMode===\"reflection\"?`\n fn gs_reflect(x: i32, x_min: f32, x_max: f32) -> u32 {\n var dx = 0.0;\n var fx = f32(x);\n let range = x_max - x_min;\n if (fx < x_min) {\n dx = x_min - fx;\n let n = u32(dx / range);\n let r = dx - f32(n) * range;\n if (n % 2 == 0) {\n fx = x_min + r;\n } else {\n fx = x_max - r;\n }\n } else if (fx > x_max) {\n dx = fx - x_max;\n let n = u32(dx / range);\n let r = dx - f32(n) * range;\n if (n % 2 == 0) {\n fx = x_max - r;\n } else {\n fx = x_min + r;\n }\n }\n return u32(fx);\n }`:\"\"}\n`,Kf=(e,t,r)=>`\n fn pixel_at_grid(r: i32, c: i32, H: i32, W: i32, batch: u32, channel: u32, border: vec4<f32>) -> ${t} {\n var pixel = ${t}(0);\n var indices = vec4<u32>(0);\n indices[${lt}] = batch;\n indices[${_t}] = channel;`+(()=>{switch(r.paddingMode){case\"zeros\":return`\n if (r >= 0 && r < H && c >=0 && c < W) {\n indices[${Nt}] = u32(r);\n indices[${Vt}] = u32(c);\n }\n `;case\"border\":return`\n indices[${Nt}] = u32(clamp(r, 0, H - 1));\n indices[${Vt}] = u32(clamp(c, 0, W - 1));\n `;case\"reflection\":return`\n indices[${Nt}] = gs_reflect(r, border[1], border[3]);\n indices[${Vt}] = gs_reflect(c, border[0], border[2]);\n `;default:throw new Error(`padding mode ${r.paddingMode} is not supported`)}})()+`\n return ${e.getByIndices(\"indices\")};\n }\n`,jf=(e,t,r)=>(()=>{switch(r.mode){case\"nearest\":return`\n let result = pixel_at_grid(i32(round(y)), i32(round(x)), H_in, W_in, indices[${lt}], indices[${_t}], border);\n `;case\"bilinear\":return`\n let x1 = i32(floor(x));\n let y1 = i32(floor(y));\n let x2 = x1 + 1;\n let y2 = y1 + 1;\n\n let p11 = pixel_at_grid(y1, x1, H_in, W_in, indices[${lt}], indices[${_t}], border);\n let p12 = pixel_at_grid(y1, x2, H_in, W_in, indices[${lt}], indices[${_t}], border);\n let p21 = pixel_at_grid(y2, x1, H_in, W_in, indices[${lt}], indices[${_t}], border);\n let p22 = pixel_at_grid(y2, x2, H_in, W_in, indices[${lt}], indices[${_t}], border);\n\n let dx2 = ${t}(f32(x2) - x);\n let dx1 = ${t}(x - f32(x1));\n let dy2 = ${t}(f32(y2) - y);\n let dy1 = ${t}(y - f32(y1));\n let result = dy2 * (dx2 * p11 + dx1 * p12) + dy1 * (dx2 * p21 + dx1 * p22);\n `;case\"bicubic\":return`\n let x0 = i32(floor(x)) - 1;\n let y0 = i32(floor(y)) - 1;\n var p: mat4x4<${t}>;\n for (var h = 0; h < 4; h++) {\n for (var w = 0; w < 4; w++) {\n p[h][w] = pixel_at_grid(h + y0, w + x0, H_in, W_in, indices[${lt}], indices[${_t}], border);\n }\n }\n\n let dx = x - f32(x0 + 1);\n let dy = y - f32(y0 + 1);\n let result = gs_bicubic_interpolate(p, dx, dy);\n `;default:throw new Error(`mode ${r.mode} is not supported`)}})()+`${e.setByOffset(\"global_idx\",\"result\")}`,Yf=(e,t)=>{let r=E(\"x\",e[0].dataType,e[0].dims.length),n=[e[1].dims[0],e[1].dims[1],e[1].dims[2]],o=E(\"grid\",e[1].dataType,n.length,2),i=[e[0].dims[0],e[0].dims[1],e[1].dims[1],e[1].dims[2]];t.format===\"NHWC\"&&(i=[e[0].dims[0],e[1].dims[1],e[1].dims[2],e[0].dims[3]],[lt,_t,Nt,Vt]=[0,3,1,2]);let a=M(\"output\",e[0].dataType,i.length),d=r.type.value,l=k.size(i),p=[{type:12,data:l},...N(e[0].dims,n,i)],m=u=>`\n ${u.registerUniform(\"output_size\",\"u32\").declareVariables(r,o,a)}\n ${Gf}\n ${Hf(d)}\n ${Ff(t)}\n ${qf(t)}\n ${Kf(r,d,t)}\n\n ${u.mainStart()}\n ${u.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.output_size\")}\n let H_in = i32(uniforms.x_shape[${Nt}]);\n let W_in = i32(uniforms.x_shape[${Vt}]);\n\n ${t.alignCorners===0?`\n let x_min = -0.5;\n let x_max = f32(W_in) - 0.5;\n let y_min = -0.5;\n let y_max = f32(H_in) - 0.5;\n `:`\n let x_min = 0.0;\n let x_max = f32(W_in) - 1.0;\n let y_min = 0.0;\n let y_max = f32(H_in) - 1.0;\n `};\n let border = vec4<f32>(x_min, y_min, x_max, y_max);\n\n let indices = ${a.offsetToIndices(\"global_idx\")};\n var grid_indices = vec3<u32>(indices[${lt}], indices[${Nt}], indices[${Vt}]);\n let nxy = ${o.getByIndices(\"grid_indices\")};\n var x = gs_denormalize(f32(nxy[0]), W_in);\n var y = gs_denormalize(f32(nxy[1]), H_in);\n\n ${jf(a,d,t)}\n }`;return{name:\"GridSample\",shaderCache:{hint:`${t.cacheKey}`,inputDependencies:[\"type\",\"type\"]},getRunData:u=>{let h=k.size(i);return{outputs:[{dims:i,dataType:u[0].dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:p}},getShaderSource:m}},Bd=(e,t)=>{Lf(e.inputs),e.compute(Yf(e.inputs,t))},Md=e=>ee({alignCorners:e.align_corners,mode:e.mode,paddingMode:e.padding_mode,format:e.format})});var Me,Xf,Nd,Ud,Jf,er,Vd,xo=U(()=>{\"use strict\";J();ne();xe();Ur();Hr();ae();dt();Me=(e,t)=>e.length>t&&e[t].dims.length>0?e[t]:void 0,Xf=(e,t)=>{let r=e[0],n=Me(e,1),o=Me(e,2),i=Me(e,3),a=Me(e,4),d=Me(e,5),l=Me(e,6),p=Me(e,7);if(r.dims.length!==3&&r.dims.length!==5)throw new Error(\"Input query is expected to have 3 or 5 dimensions\");let m=r.dims[0],u=r.dims[1],h=r.dims.length===3?r.dims[2]:t.numHeads*r.dims[4],_=u,y=0,g=0,x=Math.floor(h/t.numHeads);if(l&&p&&k.size(l.dims)&&k.size(p.dims)){if(l.dims.length!==4)throw new Error('Input \"past_key\" is expected to have 4 dimensions');if(l.dims[0]!==m||l.dims[1]!==t.numHeads||l.dims[3]!==x)throw new Error('Input \"past_key\" shape (batch_size, num_heads, past_sequence_length, head_size)');if(p.dims[0]!==m||p.dims[1]!==t.numHeads||p.dims[3]!==x)throw new Error('Input \"past_value\" shape (batch_size, num_heads, past_sequence_length, head_size)');if(l.dims[2]!==p.dims[2])throw new Error('Input \"past_key\" and \"past_value\" shall have same dim 2 (past_sequence_length)');if(p.dims.length!==4)throw new Error('Input \"past_value\" is expected to have 4 dimensions');y=l.dims[2],g=l.dims[2]}else if(l&&k.size(l.dims)||p&&k.size(p.dims))throw new Error('Input \"past_key\" and \"past_value\" shall be both present or both absent');let $;if(n&&k.size(n.dims)>0){if(r.dims.length!==3)throw new Error('Input \"query\" is expected to have 3 dimensions when key is given');if(n.dims.length<3||n.dims.length>5)throw new Error('Input \"key\" is expected to have 3, 4, or 5 dimensions');if(r.dims[0]!==n.dims[0])throw new Error('Input \"query\" and \"key\" shall have same dim 0 (batch size)');if(n.dims.length===3){if(n.dims[2]!==r.dims[2])throw new Error('Input \"query\" and \"key\" shall have same dim 2 (hidden_size)');$=2,_=n.dims[1]}else if(n.dims.length===5){if(n.dims[2]!==t.numHeads||n.dims[3]!==2||n.dims[4]!==x)throw new Error('Expect \"key\" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(o)throw new Error('Expect \"value\" be none when \"key\" has packed kv format.');$=5,_=n.dims[1]}else{if(n.dims[1]!==t.numHeads||n.dims[3]!==x)throw new Error('Expect \"key\" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');$=0,_=n.dims[2]}}else{if(r.dims.length!==5)throw new Error('Input \"query\" is expected to have 5 dimensions when key is empty');if(r.dims[2]!==t.numHeads||r.dims[3]!==3)throw new Error('Expect \"query\" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');$=3}if(i&&k.size(i.dims)>0){if(i.dims.length!==1)throw new Error('Input \"bias\" is expected to have 1 dimension');if(n&&n.dims.length===5&&n.dims[3]===2)throw new Error(\"bias is not allowed for packed kv.\")}let v=y+_,S=0;if(a&&k.size(a.dims)>0){S=8;let P=a.dims;throw P.length===1?P[0]===m?S=1:P[0]===3*m+2&&(S=3):P.length===2&&P[0]===m&&P[1]===v&&(S=5),S===8?new Error('Input \"key_padding_mask\" shape shall be (batch_size) or (batch_size, total_sequence_length)'):new Error(\"Mask not supported\")}let T=!1,A=h;if(o&&k.size(o.dims)>0){if(o.dims.length!==3&&o.dims.length!==4)throw new Error('Input \"value\" is expected to have 3 or 4 dimensions');if(r.dims[0]!==o.dims[0])throw new Error('Input \"query\" and \"value\" shall have same dim 0 (batch_size)');if(o.dims.length===3){if(_!==o.dims[1])throw new Error('Input \"key\" and \"value\" shall have the same dim 1 (kv_sequence_length)');A=o.dims[2]}else{if(_!==o.dims[2])throw new Error('Input \"key\" and \"value\" shall have the same dim 2 (kv_sequence_length)');A=o.dims[1]*o.dims[3],T=!0}}let C=!1;if(a&&k.size(a.dims)>0)throw new Error(\"Key padding mask is not supported\");if(d&&k.size(d.dims)>0){if(d.dims.length!==4)throw new Error('Input \"attention_bias\" is expected to have 4 dimensions');if(d.dims[0]!==m||d.dims[1]!==t.numHeads||d.dims[2]!==u||d.dims[3]!==v)throw new Error('Expect \"attention_bias\" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:m,sequenceLength:u,pastSequenceLength:y,kvSequenceLength:_,totalSequenceLength:v,maxSequenceLength:g,inputHiddenSize:0,hiddenSize:h,vHiddenSize:A,headSize:x,vHeadSize:Math.floor(A/t.numHeads),numHeads:t.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:t.maskFilterValue,maskType:S,scale:t.scale,broadcastResPosBias:C,passPastInKv:T,qkvFormat:$}},Nd=e=>ee({...e}),Ud=ee({perm:[0,2,1,3]}),Jf=(e,t,r,n,o,i,a)=>{let d=[n,o,i],l=k.size(d),p=[{type:12,data:l},{type:12,data:a},{type:12,data:i}],m=u=>{let h=M(\"qkv_with_bias\",t.dataType,d),_=E(\"qkv\",t.dataType,d),y=E(\"bias\",r.dataType,d),g=[{name:\"output_size\",type:\"u32\"},{name:\"bias_offset\",type:\"u32\"},{name:\"hidden_size\",type:\"u32\"}];return`\n ${u.registerUniforms(g).declareVariables(_,y,h)}\n ${u.mainStart()}\n ${u.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.output_size\")}\n let bias_offset_idx = (global_idx % uniforms.hidden_size) + uniforms.bias_offset;\n\n qkv_with_bias[global_idx] = qkv[global_idx] + bias[bias_offset_idx];\n }`};return e.compute({name:\"MultiHeadAttentionAddBias\",shaderCache:{inputDependencies:[\"type\",\"type\"]},getRunData:()=>({outputs:[{dims:d,dataType:t.dataType,gpuDataType:0}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:p}),getShaderSource:m},{inputs:[t,r],outputs:[-1]})[0]},er=(e,t,r,n,o,i,a,d)=>{let l=i;if(a&&k.size(a.dims)>0){if(n===1)throw new Error(\"AddBiasReshape is not implemented. Please export your model with packed QKV or KV\");return l=Jf(e,i,a,t,n,r*o,d),l=l.reshape([t,n,r,o]),r===1||n===1?l:e.compute(Pe(l,Ud.perm),{inputs:[l],outputs:[-1]})[0]}else return i.dims.length===3&&(l=i.reshape([t,n,r,o])),r===1||n===1?l:e.compute(Pe(l,Ud.perm),{inputs:[l],outputs:[-1]})[0]},Vd=(e,t)=>{let r=Xf(e.inputs,t),n=e.inputs[0],o=Me(e.inputs,1),i=Me(e.inputs,2),a=Me(e.inputs,3),d=Me(e.inputs,4),l=Me(e.inputs,5),p=Me(e.inputs,6),m=Me(e.inputs,7);if(n.dims.length===5)throw new Error(\"Packed QKV is not implemented\");if(o?.dims.length===5)throw new Error(\"Packed KV is not implemented\");let u=o&&i&&o.dims.length===4&&i.dims.length===4,h=er(e,r.batchSize,r.numHeads,r.sequenceLength,r.headSize,n,a,0);if(u)return Ut(e,h,o,i,d,void 0,p,m,l,r);if(!o||!i)throw new Error(\"key and value must be provided\");let _=er(e,r.batchSize,r.numHeads,r.kvSequenceLength,r.headSize,o,a,r.hiddenSize),y=er(e,r.batchSize,r.numHeads,r.kvSequenceLength,r.vHeadSize,i,a,2*r.hiddenSize);Ut(e,h,_,y,d,void 0,p,m,l,r)}});var eh,th,rh,nh,So,Wd,Ld,To=U(()=>{\"use strict\";J();ne();xe();ae();eh=e=>{if(!e||e.length<1)throw new Error(\"too few inputs\")},th=(e,t)=>{let r=[],n=t.numOutputs;return e[1].dims[0]>0&&(e[1].getBigInt64Array().forEach(o=>r.push(Number(o))),n=r.length),ee({numOutputs:n,axis:t.axis,splitSizes:r})},rh=e=>`\nfn calculateOutputIndex(index: u32) -> u32 {\n for (var i: u32 = 0u; i < ${e}u; i += 1u ) {\n if (index < ${q(\"uniforms.size_in_split_axis\",\"i\",e)}) {\n return i;\n }\n }\n return ${e}u;\n}`,nh=e=>{let t=e.length,r=[];for(let n=0;n<t;++n){let o=e[n].setByIndices(\"indices\",\"input[global_idx]\");t===1?r.push(o):n===0?r.push(`if (output_number == ${n}u) { ${o} }`):n===t-1?r.push(`else { ${o} }`):r.push(`else if (output_number == ${n}) { ${o} }`)}return`\n fn writeBufferData(output_number: u32, indices: ${e[0].type.indices}, global_idx: u32) {\n ${r.join(`\n`)}\n }`},So=(e,t)=>{let r=e[0].dims,n=k.size(r),o=e[0].dataType,i=k.normalizeAxis(t.axis,r.length),a=new Array(t.numOutputs),d=E(\"input\",o,r.length),l=new Array(t.numOutputs),p=[],m=[],u=0,h=[{type:12,data:n}];for(let y=0;y<t.numOutputs;y++){u+=t.splitSizes[y],l[y]=u;let g=r.slice();g[i]=t.splitSizes[y],m.push(g),a[y]=M(`output${y}`,o,g.length),p.push({dims:m[y],dataType:e[0].dataType})}h.push({type:12,data:l},...N(r,...m));let _=y=>`\n ${y.registerUniform(\"input_size\",\"u32\").registerUniform(\"size_in_split_axis\",\"u32\",l.length).declareVariables(d,...a)}\n ${rh(l.length)}\n ${nh(a)}\n\n ${y.mainStart()}\n ${y.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.input_size\")}\n\n var indices = ${d.offsetToIndices(\"global_idx\")};\n var index = ${d.indicesGet(\"indices\",i)};\n let output_number = calculateOutputIndex(index);\n if (output_number != 0) {\n index -= ${q(\"uniforms.size_in_split_axis\",\"output_number - 1u\",l.length)};\n ${d.indicesSet(\"indices\",i,\"index\")};\n }\n writeBufferData(output_number, indices, global_idx);\n }`;return{name:\"Split\",shaderCache:{hint:t.cacheKey,inputDependencies:[\"rank\"]},getShaderSource:_,getRunData:()=>({outputs:p,dispatchGroup:{x:Math.ceil(n/64)},programUniforms:h})}},Wd=(e,t)=>{eh(e.inputs);let r=e.inputs.length===1?t:th(e.inputs,t);e.compute(So(e.inputs,r),{inputs:[0]})},Ld=e=>{let t=e.axis,r=e.splitSizes,n=e.numOutputs<0?r.length:e.numOutputs;if(n!==r.length)throw new Error(\"numOutputs and splitSizes lengh must be equal\");return ee({axis:t,numOutputs:n,splitSizes:r})}});var oh,ih,Gd,Hd,Fd=U(()=>{\"use strict\";xe();Hr();xo();To();dt();oh=(e,t)=>{if(t.doRotary)throw new Error(\"GroupQuerryAttention do_rotary attribute is not supported\");if(t.doRotary&&e.length<=7)throw new Error(\"cos_cache and sin_cache inputs are required if do_rotary is specified\");let r=e[0],n=e[1],o=e[2],i=e[3],a=e[4];if(t.localWindowSize!==-1)throw new Error(\"Local attention is not supported\");if(t.softcap!==0)throw new Error(\"Softcap is not supported\");if(t.rotaryInterleaved!==0)throw new Error(\"Rotary interleaved is not supported\");if(t.smoothSoftmax)throw new Error(\"Smooth softmax is not supported\");if(r.dims.length!==3&&r.dims.length!==5)throw new Error(\"Input query is expected to have 3 or 5 dimensions\");let d=!1,l=r.dims[0],p=r.dims[1],m=r.dims.length===3?d?r.dims[2]/3:r.dims[2]:t.numHeads*r.dims[4],u=p,h=0,_=!n||n.dims.length===0,y=Math.floor(_?m/(t.numHeads+2*t.kvNumHeads):m/t.numHeads);_&&(m=y*t.numHeads);let g=i&&i.dims.length!==0,x=a&&a.dims.length!==0;if(g&&i.dims.length===4&&i.dims[0]===l&&i.dims[1]!==t.kvNumHeads&&i.dims[2]===t.kvNumHeads&&i.dims[3]===y)throw new Error(\"BSNH pastKey/pastValue is not supported\");if(g&&x){if(i.dims.length!==4)throw new Error('Input \"past_key\" is expected to have 4 dimensions');if(a.dims.length!==4)throw new Error('Input \"past_value\" is expected to have 4 dimensions');h=i.dims[2]}else if(g||x)throw new Error('Input \"past_key\" and \"past_value\" shall be both present or both absent');let v=1;if(n&&n.dims.length>0){if(r.dims.length!==3)throw new Error('Input \"query\" is expected to have 3 dimensions when key is given');if(n.dims.length<3||n.dims.length>5)throw new Error('Input \"key\" is expected to have 3, 4, or 5 dimensions');if(r.dims[0]!==n.dims[0])throw new Error('Input \"query\" and \"key\" shall have same dim 0 (batch size)');if(n.dims.length===3){if(r.dims[2]%n.dims[2]!==0)throw new Error('Dimension 2 of \"query\" should be a multiple of \"key\"');u=n.dims[1]}else if(n.dims.length===5){if(n.dims[2]!==t.numHeads||n.dims[3]!==2||n.dims[4]!==y)throw new Error('Expect \"key\" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(o)throw new Error('Expect \"value\" be none when \"key\" has packed kv format.');u=n.dims[1]}else{if(n.dims[1]!==t.numHeads||n.dims[3]!==y)throw new Error('Expect \"key\" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');u=n.dims[2]}}else{if(r.dims.length!==3&&r.dims.length!==5)throw new Error('Input \"query\" is expected to have 3 or 5 dimensions when key is empty');if(r.dims.length===5&&(r.dims[2]!==t.numHeads||r.dims[3]!==3))throw new Error('Expect \"query\" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');v=3}let S=0,T=!1,A=t.kvNumHeads?y*t.kvNumHeads:m;if(o&&o.dims.length>0){if(o.dims.length!==3&&o.dims.length!==4)throw new Error('Input \"value\" is expected to have 3 or 4 dimensions');if(r.dims[0]!==o.dims[0])throw new Error('Input \"query\" and \"value\" shall have same dim 0 (batch_size)');if(o.dims.length===3){if(u!==o.dims[1])throw new Error('Input \"key\" and \"value\" shall have the same dim 1 (kv_sequence_length)');A=o.dims[2]}else{if(u!==o.dims[2])throw new Error('Input \"past_key\" and \"past_value\" shall have the same dim 2 (kv_sequence_length)');A=o.dims[1]*o.dims[3],T=!0}}let C=e.length>4?e[5]:void 0;if(C&&C.dims.length!==1&&C.dims[0]!==l)throw new Error('Input \"seqlens\" is expected to have 1 dimension and the same dim 0 as batch_size');let P=-1,D=-1,R=!1;return{batchSize:l,sequenceLength:p,pastSequenceLength:h,kvSequenceLength:u,totalSequenceLength:P,maxSequenceLength:D,inputHiddenSize:0,hiddenSize:m,vHiddenSize:A,headSize:y,vHeadSize:Math.floor(A/t.kvNumHeads),numHeads:t.numHeads,kvNumHeads:t.kvNumHeads,nReps:t.numHeads/t.kvNumHeads,pastPresentShareBuffer:!1,maskType:S,scale:t.scale,broadcastResPosBias:R,passPastInKv:T,qkvFormat:v}},ih=ee({perm:[0,2,1,3]}),Gd=(e,t,r)=>{let n=t,o=r.kvNumHeads;return t.dims.length===3&&r.kvSequenceLength!==0&&(n=t.reshape([r.batchSize,r.kvSequenceLength,o,r.headSize]),n=e.compute(Pe(n,ih.perm),{inputs:[n],outputs:[-1]})[0]),n},Hd=(e,t)=>{let r=oh(e.inputs,t);if(e.inputs[0].dims.length===5)throw new Error(\"Packed QKV is not implemented\");if(e.inputs[1]?.dims.length===5)throw new Error(\"Packed KV is not implemented\");let n=e.inputs[0],o=e.inputs[1]&&e.inputs[1].dims.length>0?e.inputs[1]:void 0,i=e.inputs[2]&&e.inputs[2].dims.length>0?e.inputs[2]:void 0,a=e.inputs[3]&&e.inputs[3].dims.length!==0?e.inputs[3]:void 0,d=e.inputs[4]&&e.inputs[4].dims.length!==0?e.inputs[4]:void 0,l=e.inputs.length>4?e.inputs[5]:void 0,p=e.inputs.length>5?e.inputs[6]:void 0,m=r.kvNumHeads?r.kvNumHeads:r.numHeads,u=ee({axis:2,numOutputs:3,splitSizes:[r.numHeads*r.headSize,m*r.headSize,m*r.headSize]}),[h,_,y]=!o&&!i?e.compute(So([n],u),{inputs:[n],outputs:[-1,-1,-1]}):[n,o,i],g=er(e,r.batchSize,r.numHeads,r.sequenceLength,r.headSize,h,void 0,0);Ut(e,g,Gd(e,_,r),Gd(e,y,r),void 0,void 0,a,d,void 0,r,l,p)}});var qd,ah,sh,Kd,jd=U(()=>{\"use strict\";J();ne();dt();ae();qd=(e,t,r,n,o,i,a,d)=>{let l=me(i),p=l===1?\"f32\":`vec${l}f`,m=l===1?\"vec2f\":`mat2x${l}f`,u=o*a,h=64;u===1&&(h=256);let _=[o,a,i/l],y=[o,a,2],g=[\"rank\",\"type\",\"type\"],x=[];x.push(...N(_,y));let $=v=>{let S=E(\"x\",t.dataType,3,l),T=E(\"scale\",r.dataType,r.dims),A=E(\"bias\",n.dataType,n.dims),C=M(\"output\",1,3,2),P=[S,T,A,C];return`\n var<workgroup> workgroup_shared : array<${m}, ${h}>;\n const workgroup_size = ${h}u;\n ${v.declareVariables(...P)}\n ${v.mainStart(h)}\n let batch = workgroup_index / uniforms.x_shape[1];\n let channel = workgroup_index % uniforms.x_shape[1];\n let hight = uniforms.x_shape[2];\n // initialize workgroup memory\n var sum = ${p}(0);\n var squared_sum = ${p}(0);\n for (var h = local_idx; h < hight; h += workgroup_size) {\n let value = ${p}(${S.get(\"batch\",\"channel\",\"h\")});\n sum += value;\n squared_sum += value * value;\n }\n workgroup_shared[local_idx] = ${m}(sum, squared_sum);\n workgroupBarrier();\n\n for (var currSize = workgroup_size >> 1; currSize > 0; currSize = currSize >> 1) {\n if (local_idx < currSize) {\n workgroup_shared[local_idx] = workgroup_shared[local_idx] + workgroup_shared[local_idx + currSize];\n }\n workgroupBarrier();\n }\n if (local_idx == 0) {\n let sum_final = ${qe(\"workgroup_shared[0][0]\",l)} / f32(hight * ${l});\n let squared_sum_final = ${qe(\"workgroup_shared[0][1]\",l)} / f32(hight * ${l});\n\n let inv_std_dev = inverseSqrt(squared_sum_final - sum_final * sum_final + f32(${d}));\n let channel_scale = inv_std_dev * f32(scale[channel]);\n let channel_shift = f32(bias[channel]) - sum_final * channel_scale;\n output[workgroup_index] = vec2f(channel_scale, channel_shift);\n }\n }`};return e.compute({name:\"InstanceNormComputeChannelScaleShift\",shaderCache:{hint:`${l};${d};${h}`,inputDependencies:g},getRunData:()=>({outputs:[{dims:y,dataType:1}],dispatchGroup:{x:u},programUniforms:x}),getShaderSource:$},{inputs:[t,r,n],outputs:[-1]})[0]},ah=(e,t,r)=>{let n=t[0].dims,o=n,i=2,a=n[0],d=n[1],l=k.sizeFromDimension(n,i),p=me(l),m=k.size(o)/p,u=qd(e,t[0],t[1],t[2],a,l,d,r.epsilon),h=[a,d,l/p],_=[a,d],y=[\"type\",\"none\"],g=x=>{let $=E(\"x\",t[0].dataType,h.length,p),v=E(\"scale_shift\",1,_.length,2),S=M(\"output\",t[0].dataType,h.length,p),T=[$,v,S];return`\n ${x.registerUniform(\"output_size\",\"u32\").declareVariables(...T)}\n ${x.mainStart()}\n ${x.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.output_size\")}\n let outputIndices = ${S.offsetToIndices(\"global_idx\")};\n let batch = outputIndices[0];\n let channel = outputIndices[1];\n let scale_shift = ${v.getByIndices(\"vec2<u32>(batch, channel)\")};\n let value = ${$.getByOffset(\"global_idx\")} * ${S.type.value}(scale_shift.x) + ${S.type.value}(scale_shift.y);\n ${S.setByOffset(\"global_idx\",\"value\")};\n }`};e.compute({name:\"InstanceNormalization\",shaderCache:{hint:`${p}`,inputDependencies:y},getRunData:()=>({outputs:[{dims:o,dataType:t[0].dataType}],dispatchGroup:{x:Math.ceil(m/64)},programUniforms:[{type:12,data:m},...N(h,_,h)]}),getShaderSource:g},{inputs:[t[0],u]})},sh=(e,t,r)=>{let n=t[0].dims,o=n,i=n[0],a=n[n.length-1],d=k.sizeFromDimension(n,1)/a,l=me(a),p=k.size(o)/l,m=[{type:12,data:d},{type:12,data:Math.floor(a/l)}],u=[\"type\",\"type\"],h=!1,_=[0,n.length-1];for(let $=0;$<n.length-2;$++)h=h||n[$+1]!==1,_.push($+1);h=h&&n[n.length-1]!==1;let y=h?e.compute(Pe(e.inputs[0],_),{inputs:[e.inputs[0]],outputs:[-1]})[0]:e.inputs[0].reshape(Array.from({length:n.length},($,v)=>n[_[v]])),g=qd(e,y,t[1],t[2],i,d,a,r.epsilon),x=$=>{let v=ye(t[0].dataType),S=l===1?\"vec2f\":`mat${l}x2f`,T=P=>{let D=P===0?\"x\":\"y\",R=l===1?\"f32\":`vec${l}f`;switch(l){case 1:return`${v}(${R}(scale.${D}))`;case 2:return`vec2<${v}>(${R}(scale[0].${D}, scale[1].${D}))`;case 4:return`vec4<${v}>(${R}(scale[0].${D}, scale[1].${D}, scale[2].${D}, scale[3].${D}))`;default:throw new Error(`Not supported compoents ${l}`)}},A=E(\"input\",t[0].dataType,t[0].dims,l),C=M(\"output\",t[0].dataType,o,l);return`\n @group(0) @binding(0) var<storage, read> input : array<${A.type.storage}>;\n @group(0) @binding(1) var<storage, read> scale_input : array<${S}>;\n @group(0) @binding(2) var<storage, read_write> output : array<${C.type.storage}>;\n struct Uniforms {H: u32, C : u32};\n @group(0) @binding(3) var<uniform> uniforms: Uniforms;\n\n ${$.mainStart()}\n let current_image_number = global_idx / (uniforms.C * uniforms.H);\n let current_channel_number = global_idx % uniforms.C;\n\n let scale_offset = current_image_number * uniforms.C + current_channel_number;\n let scale = scale_input[scale_offset];\n output[global_idx] = fma(input[global_idx], ${T(0)}, ${T(1)});\n }`};e.compute({name:\"InstanceNormalizationNHWC\",shaderCache:{hint:`${l}`,inputDependencies:u},getRunData:()=>({outputs:[{dims:o,dataType:t[0].dataType}],dispatchGroup:{x:Math.ceil(p/64)},programUniforms:m}),getShaderSource:x},{inputs:[t[0],g]})},Kd=(e,t)=>{t.format===\"NHWC\"?sh(e,e.inputs,t):ah(e,e.inputs,t)}});var uh,dh,Yd,Zd=U(()=>{\"use strict\";J();ne();ae();uh=e=>{if(!e||e.length<2)throw new Error(\"layerNorm requires at least 2 inputs.\")},dh=(e,t,r)=>{let n=t.simplified,o=e[0].dims,i=e[1],a=!n&&e[2],d=o,l=k.normalizeAxis(t.axis,o.length),p=k.sizeToDimension(o,l),m=k.sizeFromDimension(o,l),u=k.size(i.dims),h=a?k.size(a.dims):0;if(u!==m||a&&h!==m)throw new Error(`Size of X.shape()[axis:] == ${m}.\n Size of scale and bias (if provided) must match this.\n Got scale size of ${u} and bias size of ${h}`);let _=[];for(let A=0;A<o.length;++A)A<l?_.push(o[A]):_.push(1);let y=me(m),g=[\"type\",\"type\"],x=[{type:12,data:p},{type:1,data:m},{type:12,data:Math.floor(m/y)},{type:1,data:t.epsilon}];a&&g.push(\"type\");let $=r>1,v=r>2,S=A=>{let C=ye(e[0].dataType),P=[E(\"x\",e[0].dataType,e[0].dims,y),E(\"scale\",i.dataType,i.dims,y)];a&&P.push(E(\"bias\",a.dataType,a.dims,y)),P.push(M(\"output\",e[0].dataType,d,y)),$&&P.push(M(\"mean_data_output\",1,_)),v&&P.push(M(\"inv_std_output\",1,_));let D=[{name:\"norm_count\",type:\"u32\"},{name:\"norm_size\",type:\"f32\"},{name:\"norm_size_vectorized\",type:\"u32\"},{name:\"epsilon\",type:\"f32\"}];return`\n ${A.registerUniforms(D).declareVariables(...P)}\n ${A.mainStart()}\n ${A.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.norm_count\")}\n let offset = global_idx * uniforms.norm_size_vectorized;\n var mean_vector = ${so(\"f32\",y)};\n var mean_square_vector = ${so(\"f32\",y)};\n\n for (var h: u32 = 0u; h < uniforms.norm_size_vectorized; h++) {\n let value = ${Pt(C,y,\"x[h + offset]\")};\n mean_vector += value;\n mean_square_vector += value * value;\n }\n let mean = ${qe(\"mean_vector\",y)} / uniforms.norm_size;\n let inv_std_dev = inverseSqrt(${qe(\"mean_square_vector\",y)} / uniforms.norm_size ${n?\"\":\"- mean * mean\"} + uniforms.epsilon);\n\n for (var j: u32 = 0; j < uniforms.norm_size_vectorized; j++) {\n let f32input = ${Pt(C,y,\"x[j + offset]\")};\n let f32scale = ${Pt(C,y,\"scale[j]\")};\n output[j + offset] = ${P[0].type.value}((f32input ${n?\"\":\"- mean\"}) * inv_std_dev * f32scale\n ${a?`+ ${Pt(C,y,\"bias[j]\")}`:\"\"}\n );\n }\n\n ${$?\"mean_data_output[global_idx] = mean\":\"\"};\n ${v?\"inv_std_output[global_idx] = inv_std_dev\":\"\"};\n }`},T=[{dims:d,dataType:e[0].dataType}];return $&&T.push({dims:_,dataType:1}),v&&T.push({dims:_,dataType:1}),{name:\"LayerNormalization\",shaderCache:{hint:`${y};${r};${n}`,inputDependencies:g},getRunData:()=>({outputs:T,dispatchGroup:{x:Math.ceil(p/64)},programUniforms:x}),getShaderSource:S}},Yd=(e,t)=>{uh(e.inputs),e.compute(dh(e.inputs,t,e.outputCount))}});var lh,Qd,Xd=U(()=>{\"use strict\";ne();Zr();Qr();lh=e=>{if(!e||e.length!==2)throw new Error(\"MatMul requires 2 inputs.\");if(e[0].dims[e[0].dims.length-1]!==e[1].dims[e[1].dims.length-2])throw new Error(\"shared dimension does not match.\")},Qd=e=>{lh(e.inputs);let t=tt.calcShape(e.inputs[0].dims,e.inputs[1].dims,!0);if(!t)throw new Error(\"Can't use matmul on the given tensors\");let r=t[t.length-1],n=e.inputs[0].dims[e.inputs[0].dims.length-1];if(r<8&&n<8)e.compute(Yr(e.inputs,{activation:\"\"},t));else{let o=t[t.length-2],i=k.size(e.inputs[0].dims.slice(0,-2)),a=k.size(e.inputs[1].dims.slice(0,-2));if(i!==1&&o===1&&a===1){let d=e.inputs[0].reshape([1,i,n]),l=e.inputs[1].reshape([1,n,r]),p=[1,i,r],m=[d,l];e.compute(Jt(m,{activation:\"\"},t,p),{inputs:m})}else e.compute(Jt(e.inputs,{activation:\"\"},t))}}});var ch,ph,mh,Jd,el,tl=U(()=>{\"use strict\";J();ne();xe();ae();ch=(e,t)=>{if(e.length<3||e.length>4)throw new Error(\"MatMulNBits requires 3 or 4 inputs\");let r=e[0],n=r.dims.length;if(r.dims[n-1]!==t.k)throw new Error(\"The last dim of input shape does not match the k value\");let o=Math.floor((t.k+t.blockSize-1)/t.blockSize),i=t.blockSize/8*t.bits,a=e[1];if(!k.areEqual(a.dims,[t.n,o,i]))throw new Error(\"The second inputs must be 3D tensor with shape N X nBlocksPerCol X blobSize\");let l=e[2].dims;if(k.size(l)!==t.n*o)throw new Error(\"scales input size error.\");if(e.length===4){let m=e[3].dims,u=t.bits>4?t.n*o:t.n*Math.floor((o+1)/2);if(k.size(m)!==u)throw new Error(\"zeroPoints input size error.\")}},ph=(e,t)=>{let r=e[0].dims,n=r.length,o=r[n-2],i=t.k,a=t.n,d=r.slice(0,n-2),l=k.size(d),m=e[1].dims[2]/4,u=e[0].dataType,h=me(t.k),_=me(m),y=me(a),g=d.concat([o,a]),x=o>1&&a/y%2===0?2:1,$=k.size(g)/y/x,v=64,S=[],T=[l,o,i/h],A=k.convertShape(e[1].dims).slice();A.splice(-1,1,m/_),S.push(...N(T)),S.push(...N(A)),S.push(...N(e[2].dims)),e.length===4&&S.push(...N(k.convertShape(e[3].dims)));let C=[l,o,a/y];S.push(...N(C));let P=D=>{let R=T.length,H=E(\"a\",e[0].dataType,R,h),L=E(\"b\",12,A.length,_),re=E(\"scales\",e[2].dataType,e[2].dims.length),V=[H,L,re],K=e.length===4?E(\"zero_points\",12,e[3].dims.length):void 0;K&&V.push(K);let we=C.length,j=M(\"output\",e[0].dataType,we,y),Q=ye(e[0].dataType),ie=(()=>{switch(h){case 1:return`array<${Q}, 8>`;case 2:return`mat4x2<${Q}>`;case 4:return`mat2x4<${Q}>`;default:throw new Error(`${h}-component is not supported.`)}})(),te=()=>{let ve=`\n // reuse a data\n var input_offset = ${H.indicesToOffset(`${H.type.indices}(batch, row, word_offset)`)};\n var a_data: ${ie};\n for (var j: u32 = 0; j < ${8/h}; j++) {\n a_data[j] = ${H.getByOffset(\"input_offset\")};\n input_offset++;\n }\n `;for(let de=0;de<y*x;de++)ve+=`\n b_value = ${_===1?`b${de}_data`:`b${de}_data[i]`};\n b_value_lower = unpack4xU8(b_value & b_mask);\n b_value_upper = unpack4xU8((b_value >> 4) & b_mask);\n b_quantized_values = ${ie}(${Array.from({length:4},(W,Y)=>`${Q}(b_value_lower[${Y}]), ${Q}(b_value_upper[${Y}])`).join(\", \")});\n b_dequantized_values = ${(()=>h===1?`${ie}(${Array.from({length:8},(W,Y)=>`(b_quantized_values[${Y}] - ${K?`zero_point${de}`:\"zero_point\"}) * scale${de}`).join(\", \")});`:`(b_quantized_values - ${ie}(${Array(8).fill(`${K?`zero_point${de}`:\"zero_point\"}`).join(\",\")})) * scale${de};`)()};\n workgroup_shared[local_id.x * ${x} + ${Math.floor(de/y)}]${y>1?`[${de%y}]`:\"\"} += ${Array.from({length:8/h},(W,Y)=>`${h===1?`a_data[${Y}] * b_dequantized_values[${Y}]`:`dot(a_data[${Y}], b_dequantized_values[${Y}])`}`).join(\" + \")};\n `;return ve},be=()=>{let ve=`\n var col_index = col * ${y};\n ${K?`\n let zero_point_bytes_per_col = (nBlocksPerCol + 1) / 2;\n var zero_point_byte_count: u32;\n var zero_point_word_index: u32;\n var zero_point_byte_offset: u32;\n let zero_point_nibble_offset: u32 = block & 0x1u;\n var zero_point_bits_offset: u32;\n var zero_point_word: u32;`:`\n // The default zero point is 8 for unsigned 4-bit quantization.\n let zero_point = ${Q}(8);`}\n `;for(let de=0;de<y*x;de++)ve+=`\n let scale${de} = ${re.getByOffset(\"col_index * nBlocksPerCol + block\")};\n ${K?`\n zero_point_byte_count = col_index * zero_point_bytes_per_col + (block >> 0x1u);\n zero_point_word_index = zero_point_byte_count >> 0x2u;\n zero_point_byte_offset = zero_point_byte_count & 0x3u;\n zero_point_bits_offset = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2);\n zero_point_word = ${K.getByOffset(\"zero_point_word_index\")} >> zero_point_bits_offset;\n let zero_point${de} = ${Q}((zero_point_word) & 0xFu);`:\"\"}\n col_index += 1;`;return ve},Oe=()=>{let ve=`col_index = col * ${y};`;for(let de=0;de<y*x;de++)ve+=`\n let b${de}_data = ${L.getByIndices(`${L.type.indices}(col_index, block, word)`)};\n col_index += 1;`;return ve+=`\n var b_value: u32;\n let b_mask: u32 = 0x0F0F0F0Fu;\n var b_value_lower: vec4<u32>;\n var b_value_upper: vec4<u32>;\n var b_quantized_values: ${ie};\n var b_dequantized_values: ${ie};`,ve};return`\n var<workgroup> workgroup_shared: array<${j.type.value}, ${x*v}>;\n ${D.declareVariables(...V,j)}\n ${D.mainStart([v,1,1])}\n let output_indices = ${j.offsetToIndices(`(global_idx / ${v}) * ${x}`)};\n let col = output_indices[2];\n let row = output_indices[1];\n let batch = output_indices[0];\n let nBlocksPerCol = uniforms.b_shape[1];\n\n for (var block = local_id.x; block < nBlocksPerCol; block += ${v}) {\n //process one block\n var word_offset: u32 = block * ${t.blockSize/h};\n ${be()}\n for (var word: u32 = 0; word < ${m}; word += ${_}) {\n ${Oe()}\n for (var i: u32 = 0; i < ${_}; i++) {\n ${te()}\n word_offset += ${8/h};\n }\n }\n }\n workgroupBarrier();\n\n if (local_id.x < ${x}) {\n var output_value: ${j.type.value} = ${j.type.value}(0);\n var workgroup_shared_offset: u32 = local_id.x;\n for (var b: u32 = 0u; b < ${v}u; b++) {\n output_value += workgroup_shared[workgroup_shared_offset];\n workgroup_shared_offset += ${x};\n }\n ${j.setByIndices(`${j.type.indices}(batch, row, col + local_id.x)`,\"output_value\")};\n }\n }`};return{name:\"MatMulNBits\",shaderCache:{hint:`${t.blockSize};${t.bits};${h};${_};${y};${x};${v}`,inputDependencies:Array(e.length).fill(\"rank\")},getRunData:()=>({outputs:[{dims:g,dataType:u}],dispatchGroup:{x:$},programUniforms:S}),getShaderSource:P}},mh=(e,t)=>{let r=e[0].dims,n=r.length,o=r[n-2],i=t.k,a=t.n,d=r.slice(0,n-2),l=k.size(d),m=e[1].dims[2]/4,u=e[0].dataType,h=me(t.k),_=me(m),y=d.concat([o,a]),g=128,x=a%8===0?8:a%4===0?4:1,$=g/x,v=$*_*8,S=v/h,T=v/t.blockSize,A=k.size(y)/x,C=[],P=[l,o,i/h],D=k.convertShape(e[1].dims).slice();D.splice(-1,1,m/_),C.push(...N(P)),C.push(...N(D)),C.push(...N(e[2].dims)),e.length===4&&C.push(...N(k.convertShape(e[3].dims)));let R=[l,o,a];C.push(...N(R));let H=L=>{let re=P.length,V=E(\"a\",e[0].dataType,re,h),K=E(\"b\",12,D.length,_),we=E(\"scales\",e[2].dataType,e[2].dims.length),j=[V,K,we],Q=e.length===4?E(\"zero_points\",12,e[3].dims.length):void 0;Q&&j.push(Q);let ie=R.length,te=M(\"output\",e[0].dataType,ie),be=ye(e[0].dataType),Oe=()=>{switch(h){case 1:return`\n let a_data0 = vec4<${be}>(sub_a[word_offset], sub_a[word_offset + 1], sub_a[word_offset + 2], sub_a[word_offset + 3]);\n let a_data1 = vec4<${be}>(sub_a[word_offset + 4], sub_a[word_offset + 5], sub_a[word_offset + 6], sub_a[word_offset + 7]);`;case 2:return`\n let a_data0 = vec4<${be}>(sub_a[word_offset], sub_a[word_offset + 1]);\n let a_data1 = vec4<${be}>(sub_a[word_offset + 2], sub_a[word_offset + 3]);`;case 4:return`\n let a_data0 = sub_a[word_offset];\n let a_data1 = sub_a[word_offset + 1];`;default:throw new Error(`${h}-component is not supported.`)}};return`\n var<workgroup> sub_a: array<${V.type.value}, ${S}>;\n var<workgroup> inter_results: array<array<${te.type.value}, ${$}>, ${x}>;\n ${L.declareVariables(...j,te)}\n ${L.mainStart([$,x,1])}\n let output_indices = ${te.offsetToIndices(`workgroup_index * ${x}`)};\n let col = output_indices[2];\n let row = output_indices[1];\n let batch = output_indices[0];\n let n_blocks_per_col = uniforms.b_shape[1];\n let num_tiles = (n_blocks_per_col - 1) / ${T} + 1;\n\n // Loop over shared dimension.\n for (var tile: u32 = 0; tile < num_tiles; tile += 1) {\n let a_col_start = tile * ${S};\n // load one tile A data into shared memory.\n for (var a_offset = local_idx; a_offset < ${S}; a_offset += ${g})\n {\n let a_col = a_col_start + a_offset;\n if (a_col < uniforms.a_shape[2])\n {\n sub_a[a_offset] = ${V.getByIndices(`${V.type.indices}(batch, row, a_col)`)};\n } else {\n sub_a[a_offset] = ${V.type.value}(0);\n }\n }\n workgroupBarrier();\n\n // each thread process one block\n let b_row = col + local_id.y;\n let block = tile * ${T} + local_id.x;\n ${Q?`\n let zero_point_bytes_per_col = (n_blocks_per_col + 1) / 2;\n let zero_point_byte_count = b_row * zero_point_bytes_per_col + (block >> 0x1u);\n let zero_point_word_index = zero_point_byte_count >> 0x2u;\n let zero_point_byte_offset = zero_point_byte_count & 0x3u;\n let zero_point_nibble_offset: u32 = block & 0x1u;\n let zero_point_bits_offset = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2);\n let zero_point_word = ${Q.getByOffset(\"zero_point_word_index\")} >> zero_point_bits_offset;\n let zero_point = ${be}((zero_point_word) & 0xFu);`:`\n // The default zero point is 8 for unsigned 4-bit quantization.\n let zero_point = ${be}(8);`}\n let scale = ${we.getByOffset(\"b_row * n_blocks_per_col + block\")};\n let b_data = ${K.getByIndices(`${K.type.indices}(b_row, block, 0)`)};\n var word_offset = local_id.x * ${t.blockSize/h};\n for (var i: u32 = 0; i < ${_}; i++) {\n ${Oe()}\n let b_value = ${_===1?\"b_data\":\"b_data[i]\"};\n let b_value_lower = unpack4xU8(b_value & 0x0F0F0F0Fu);\n let b_value_upper = unpack4xU8((b_value >> 4) & 0x0F0F0F0Fu);\n let b_quantized_values = mat2x4<${be}>(${Array.from({length:4},(ve,de)=>`${be}(b_value_lower[${de}]), ${be}(b_value_upper[${de}])`).join(\", \")});\n let b_dequantized_values = (b_quantized_values - mat2x4<${be}>(${Array(8).fill(\"zero_point\").join(\",\")})) * scale;\n inter_results[local_id.y][local_id.x] += ${Array.from({length:2},(ve,de)=>`${`dot(a_data${de}, b_dequantized_values[${de}])`}`).join(\" + \")};\n word_offset += ${8/h};\n }\n workgroupBarrier();\n }\n\n if (local_idx < ${x}) {\n var output_value: ${te.type.value} = ${te.type.value}(0);\n for (var b = 0u; b < ${$}; b++) {\n output_value += inter_results[local_idx][b];\n }\n if (col + local_idx < uniforms.output_shape[2])\n {\n ${te.setByIndices(`${te.type.indices}(batch, row, col + local_idx)`,\"output_value\")}\n }\n }\n }`};return{name:\"BlockwiseMatMulNBits32\",shaderCache:{hint:`${t.blockSize};${h};${_};${$};${x}`,inputDependencies:Array(e.length).fill(\"rank\")},getRunData:()=>({outputs:[{dims:y,dataType:u}],dispatchGroup:{x:A},programUniforms:C}),getShaderSource:H}},Jd=(e,t)=>{ch(e.inputs,t),t.blockSize===32&&e.adapterInfo.isVendor(\"intel\")&&e.adapterInfo.isArchitecture(\"gen-12lp\")?e.compute(mh(e.inputs,t)):e.compute(ph(e.inputs,t))},el=e=>ee(e)});var fh,hh,gh,bh,yh,_h,wh,vh,rl,nl=U(()=>{\"use strict\";J();ne();ae();fh=e=>{if(!e||e.length<1)throw new Error(\"Too few inputs\");if(e[0].dataType!==1&&e[0].dataType!==10)throw new Error(\"Input type must be float or float16.\");if(e.length>=2){let t=e[0].dims.length*2===e[1].dims[0];if(e.length===4&&(t=e[3].dims[0]*2===e[1].dims[0]),!t)throw new Error(\"The pads should be a 1D tensor of shape [2 * input_rank] or [2 * num_axes].\")}},hh=(e,t,r)=>{let n=\"\";for(let o=t-1;o>=0;--o)n+=`\n k = i32(${e.indicesGet(\"indices\",o)}) - ${q(\"uniforms.pads\",o,r)};\n if (k < 0) {\n break;\n }\n if (k >= i32(${q(\"uniforms.x_shape\",o,t)})) {\n break;\n }\n offset += k * i32(${q(\"uniforms.x_strides\",o,t)});\n `;return`\n value = ${e.type.value}(uniforms.constant_value);\n for (var i = 0; i < 1; i++) {\n var offset = 0;\n var k = 0;\n ${n}\n value = x[offset];\n }\n `},gh=(e,t,r)=>{let n=\"\";for(let o=t-1;o>=0;--o)n+=`\n k = i32(${e.indicesGet(\"indices\",o)}) - ${q(\"uniforms.pads\",o,r)};\n if (k < 0) {\n k = -k;\n }\n {\n let _2n_1 = 2 * (i32(${q(\"uniforms.x_shape\",o,t)}) - 1);\n k = k % _2n_1;\n if(k >= i32(${q(\"uniforms.x_shape\",o,t)})) {\n k = _2n_1 - k;\n }\n }\n offset += k * i32(${q(\"uniforms.x_strides\",o,t)});\n `;return`\n var offset = 0;\n var k = 0;\n ${n}\n value = x[offset];\n `},bh=(e,t,r)=>{let n=\"\";for(let o=t-1;o>=0;--o)n+=`\n k = i32(${e.indicesGet(\"indices\",o)}) - ${q(\"uniforms.pads\",o,r)};\n if (k < 0) {\n k = 0;\n }\n if (k >= i32(${q(\"uniforms.x_shape\",o,t)})) {\n k = i32(${q(\"uniforms.x_shape\",o,t)}) - 1;\n }\n offset += k * i32(${q(\"uniforms.x_strides\",o,t)});\n `;return`\n var offset = 0;\n var k = 0;\n ${n}\n value = x[offset];\n `},yh=(e,t,r)=>{let n=\"\";for(let o=t-1;o>=0;--o)n+=`\n k = i32(${e.indicesGet(\"indices\",o)}) - ${q(\"uniforms.pads\",o,r)};\n if (k < 0) {\n k += i32(${q(\"uniforms.x_shape\",o,t)}]);\n }\n if (k >= i32(${q(\"uniforms.x_shape\",o,t)})) {\n k -= i32(${q(\"uniforms.x_shape\",o,t)});\n }\n offset += k * i32(${q(\"uniforms.x_strides\",o,t)});\n `;return`\n var offset = 0;\n var k = 0;\n ${n}\n value = x[offset];\n `},_h=(e,t,r)=>{switch(r.mode){case 0:return hh(e,t,r.pads.length);case 1:return gh(e,t,r.pads.length);case 2:return bh(e,t,r.pads.length);case 3:return yh(e,t,r.pads.length);default:throw new Error(\"Invalid mode\")}},wh=(e,t)=>{let r=k.padShape(e[0].dims.slice(),t.pads),n=e[0].dims,o=k.size(r),i=[{type:12,data:o},{type:6,data:t.pads}],a=e.length>=3&&e[2].data;t.mode===0&&i.push({type:a?e[2].dataType:1,data:t.value}),i.push(...N(e[0].dims,r));let d=[\"rank\"],l=p=>{let m=M(\"output\",e[0].dataType,r.length),u=E(\"x\",e[0].dataType,n.length),h=u.type.value,_=_h(m,n.length,t),y=[{name:\"output_size\",type:\"u32\"},{name:\"pads\",type:\"i32\",length:t.pads.length}];return t.mode===0&&y.push({name:\"constant_value\",type:a?h:\"f32\"}),`\n ${p.registerUniforms(y).declareVariables(u,m)}\n ${p.mainStart()}\n ${p.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.output_size\")}\n\n let indices = ${m.offsetToIndices(\"global_idx\")};\n\n var value = ${h}(0);\n ${_}\n output[global_idx] = value;\n }`};return{name:\"Pad\",shaderCache:{hint:`${t.mode}${a}`,inputDependencies:d},getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(k.size(r)/64)},programUniforms:i}),getShaderSource:l}},vh=(e,t)=>{if(e.length>1){let r=e[1].getBigInt64Array(),n=e.length>=3&&e[2].data?e[2].dataType===10?e[2].getUint16Array()[0]:e[2].getFloat32Array()[0]:0,o=e[0].dims.length,i=new Int32Array(2*o).fill(0);if(e.length>=4){let d=e[3].getBigInt64Array();for(let l=0;l<d.length;l++)i[Number(d[l])]=Number(r[l]),i[Number(d[l])+o]=Number(r[l+d.length])}else r.forEach((d,l)=>i[Number(l)]=Number(d));let a=[];return i.forEach(d=>a.push(d)),{mode:t.mode,value:n,pads:a}}else return t},rl=(e,t)=>{fh(e.inputs);let r=vh(e.inputs,t);e.compute(wh(e.inputs,r),{inputs:[0]})}});var en,ol,il,al,sl,$h,xh,ul,dl,ll,cl,pl,ml,fl,hl,gl,bl,yl,_l,wl=U(()=>{\"use strict\";Le();J();ne();ae();en=e=>{if(_e.webgpu.validateInputContent&&(!e||e.length!==1))throw new Error(\"Pool ops requires 1 input.\")},ol=(e,t,r)=>{let n=t.format===\"NHWC\",o=e.dims.slice();n&&o.splice(1,0,o.pop());let i=Object.hasOwnProperty.call(t,\"dilations\"),a=t.kernelShape.slice(),d=t.strides.slice(),l=i?t.dilations.slice():[],p=t.pads.slice();kt.adjustPoolAttributes(r,o,a,d,l,p);let m=kt.computePoolOutputShape(r,o,d,l,a,p,t.autoPad),u=Object.assign({},t);i?Object.assign(u,{kernelShape:a,strides:d,pads:p,dilations:l,cacheKey:t.cacheKey}):Object.assign(u,{kernelShape:a,strides:d,pads:p,cacheKey:t.cacheKey});let h=m.slice();return h.push(h.splice(1,1)[0]),[u,n?h:m]},il=(e,t)=>{let r=t.format===\"NHWC\",n=k.size(e),o=k.size(t.kernelShape),i=[{type:12,data:n},{type:12,data:o}],a=[{name:\"outputSize\",type:\"u32\"},{name:\"kernelSize\",type:\"u32\"}];if(t.kernelShape.length<=2){let d=t.kernelShape[t.kernelShape.length-1],l=t.strides[t.strides.length-1],p=t.pads[t.pads.length/2-1],m=t.pads[t.pads.length-1],u=!!(p+m);i.push({type:12,data:d},{type:12,data:l},{type:12,data:p},{type:12,data:m}),a.push({name:\"kw\",type:\"u32\"},{name:\"sw\",type:\"u32\"},{name:\"pwStart\",type:\"u32\"},{name:\"pwEnd\",type:\"u32\"});let h=!1;if(t.kernelShape.length===2){let _=t.kernelShape[t.kernelShape.length-2],y=t.strides[t.strides.length-2],g=t.pads[t.pads.length/2-2],x=t.pads[t.pads.length-2];h=!!(g+x),i.push({type:12,data:_},{type:12,data:y},{type:12,data:g},{type:12,data:x}),a.push({name:\"kh\",type:\"u32\"},{name:\"sh\",type:\"u32\"},{name:\"phStart\",type:\"u32\"},{name:\"phEnd\",type:\"u32\"})}return[i,a,!0,u,h]}else{if(r)throw new Error(\"Pooling with kernelShape.length > 2 is not supported for NHWC format.\");let d=k.computeStrides(t.kernelShape);i.push({type:12,data:d},{type:12,data:t.pads},{type:12,data:t.strides}),a.push({name:\"kernelStrides\",type:\"u32\",length:d.length},{name:\"pads\",type:\"u32\",length:t.pads.length},{name:\"strides\",type:\"u32\",length:t.strides.length});let l=t.pads.reduce((p,m)=>p+m);return[i,a,!!l,!1,!1]}},al=(e,t,r,n,o,i,a,d,l,p,m,u)=>{let h=o.format===\"NHWC\",_=t.type.value,y=M(\"output\",t.type.tensor,n);if(o.kernelShape.length<=2){let g=\"\",x=\"\",$=\"\",v=r-(h?2:1);if(m?g=`\n for (var i: u32 = 0u; i < uniforms.kw; i++) {\n xIndices[${v}] = indices[${v}] * uniforms.sw - uniforms.pwStart + i;\n if (xIndices[${v}] < 0 || xIndices[${v}]\n >= uniforms.x_shape[${v}]) {\n pad++;\n continue;\n }\n let x_val = x[${t.indicesToOffset(\"xIndices\")}];\n ${i}\n }`:g=`\n for (var i: u32 = 0u; i < uniforms.kw; i++) {\n xIndices[${v}] = indices[${v}] * uniforms.sw - uniforms.pwStart + i;\n let x_val = x[${t.indicesToOffset(\"xIndices\")}];\n ${i}\n }`,o.kernelShape.length===2){let T=r-(h?3:2);u?x=`\n for (var j: u32 = 0u; j < uniforms.kh; j++) {\n xIndices[${T}] = indices[${T}] * uniforms.sh - uniforms.phStart + j;\n if (xIndices[${T}] < 0 || xIndices[${T}] >= uniforms.x_shape[${T}]) {\n pad += i32(uniforms.kw);\n continue;\n }\n `:x=`\n for (var j: u32 = 0u; j < uniforms.kh; j++) {\n xIndices[${T}] = indices[${T}] * uniforms.sh - uniforms.phStart + j;\n `,$=`\n }\n `}return`\n ${e.registerUniforms(l).declareVariables(t,y)}\n\n ${e.mainStart()}\n ${e.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.outputSize\")}\n\n let indices = ${y.offsetToIndices(\"global_idx\")};\n var xIndices = ${y.offsetToIndices(\"global_idx\")};\n\n var value = ${_}(${d});\n var pad = 0;\n ${x}\n ${g}\n ${$}\n ${a}\n\n output[global_idx] = value;\n }`}else{if(h)throw new Error(\"Pooling with kernelShape.length > 2 is not supported for NHWC format.\");let g=o.kernelShape.length,x=o.pads.length,$=\"\";return p?$=`\n if (xIndices[j] >= uniforms.x_shape[j]) {\n pad++;\n isPad = true;\n break;\n }\n }\n if (!isPad) {\n let x_val = x[${t.indicesToOffset(\"xIndices\")}];\n ${i}\n }`:$=`\n }\n let x_val = x[${t.indicesToOffset(\"xIndices\")}];\n ${i}\n `,`\n ${e.registerUniforms(l).declareVariables(t,y)}\n\n ${e.mainStart()}\n ${e.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.outputSize\")}\n let indices = ${y.offsetToIndices(\"global_idx\")};\n var xIndices = ${y.offsetToIndices(\"global_idx\")};\n\n var offsets: array<u32, ${g}>;\n\n var value = ${_}(${d});\n var pad = 0;\n var isPad = false;\n\n for (var i: u32 = 0u; i < uniforms.kernelSize; i++) {\n var offset = i;\n for (var j = 0u; j < ${g-1}u; j++) {\n offsets[j] = offset / ${q(\"uniforms.kernelStrides\",\"j\",g)};\n offset -= offsets[j] * ${q(\"uniforms.kernelStrides\",\"j\",g)};\n }\n offsets[${g-1}] = offset;\n\n isPad = false;\n for (var j = ${r-g}u; j < ${r}u; j++) {\n xIndices[j] = indices[j] * ${q(\"uniforms.strides\",`j - ${r-g}u`,g)}\n + offsets[j - ${r-g}u] - ${q(\"uniforms.pads\",\"j - 2u\",x)};\n ${$}\n }\n ${a}\n\n output[global_idx] = value;\n }`}},sl=e=>`${e.format};${e.ceilMode};${e.autoPad};${e.kernelShape.length}`,$h=e=>`${sl(e)};${e.countIncludePad}`,xh=e=>`${sl(e)};${e.storageOrder};${e.dilations}`,ul=e=>({format:e.format,autoPad:[\"NOTSET\",\"VALID\",\"SAME_UPPER\",\"SAME_LOWER\"][e.auto_pad],ceilMode:e.ceil_mode,kernelShape:e.kernel_shape,strides:e.strides,pads:e.pads}),dl=(e,t,r,n)=>{let[o,i]=ol(t,n,r),a=E(\"x\",t.dataType,t.dims.length),d=a.type.value,l=\"value += x_val;\",p=\"\";o.countIncludePad?p+=`value /= ${d}(uniforms.kernelSize);`:p+=`value /= ${d}(i32(uniforms.kernelSize) - pad);`;let[m,u,h,_,y]=il(i,o);m.push(...N(t.dims,i));let g=[\"rank\"];return{name:e,shaderCache:{hint:`${n.cacheKey};${h};${_};${y}`,inputDependencies:g},getRunData:()=>({outputs:[{dims:i,dataType:t.dataType}],dispatchGroup:{x:Math.ceil(k.size(i)/64)},programUniforms:m}),getShaderSource:x=>al(x,a,t.dims.length,i.length,o,l,p,0,u,h,_,y)}},ll=e=>{let t=e.count_include_pad!==0,r=ul(e);if(r.ceilMode!==0)throw new Error(\"using ceil() in shape computation is not yet supported for AveragePool\");let n={countIncludePad:t,...r,cacheKey:\"\"};return{...n,cacheKey:$h(n)}},cl=(e,t)=>{en(e.inputs),e.compute(dl(\"AveragePool\",e.inputs[0],!1,t))},pl={autoPad:\"\",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[]},ml=e=>{let t=e.format;return{format:t,...pl,cacheKey:t}},fl=(e,t)=>{en(e.inputs),e.compute(dl(\"GlobalAveragePool\",e.inputs[0],!0,t))},hl=(e,t,r,n)=>{let[o,i]=ol(t,n,r),a=`\n value = max(x_val, value);\n `,d=\"\",l=E(\"x\",t.dataType,t.dims.length),p=[\"rank\"],[m,u,h,_,y]=il(i,o);return m.push(...N(t.dims,i)),{name:e,shaderCache:{hint:`${n.cacheKey};${h};${_};${y}`,inputDependencies:p},getRunData:()=>({outputs:[{dims:i,dataType:t.dataType}],dispatchGroup:{x:Math.ceil(k.size(i)/64)},programUniforms:m}),getShaderSource:g=>al(g,l,t.dims.length,i.length,o,a,d,t.dataType===10?-65504:-1e5,u,h,_,y)}},gl=(e,t)=>{en(e.inputs),e.compute(hl(\"MaxPool\",e.inputs[0],!1,t))},bl=e=>{let t=e.storage_order,r=e.dilations,n=ul(e);if(t!==0)throw new Error(\"column major storage order is not yet supported for MaxPool\");if(n.ceilMode!==0)throw new Error(\"using ceil() in shape computation is not yet supported for MaxPool\");let o={storageOrder:t,dilations:r,...n,cacheKey:\"\"};return{...o,cacheKey:xh(o)}},yl=e=>{let t=e.format;return{format:t,...pl,cacheKey:t}},_l=(e,t)=>{en(e.inputs),e.compute(hl(\"GlobalMaxPool\",e.inputs[0],!0,t))}});var Th,Ih,vl,$l,xl=U(()=>{\"use strict\";J();ne();xe();ae();Th=(e,t)=>{if(e.length<2||e.length>3)throw new Error(\"DequantizeLinear requires 2 or 3 inputs.\");if(e.length===3&&e[1].dims===e[2].dims)throw new Error(\"x-scale and x-zero-point must have the same shape.\");if(e.length===3&&e[0].dataType!==e[2].dataType)throw new Error(\"x and x-zero-point must have the same data type.\");if(e[0].dataType===6&&e.length>2)throw new Error(\"In the case of dequantizing int32 there is no zero point.\");if(e[1].dims.length!==0&&e[1].dims.length!==1&&e[1].dims.length!==e[0].dims.length)throw new Error(\"scale input must be a scalar, a 1D tensor, or have the same rank as the input tensor.\");if(e.length>2){if(e[0].dataType!==e[2].dataType)throw new Error(\"x and x-zero-point must have the same data type.\");if(e[1].dims.length!==e[2].dims.length)throw new Error(\"scale and zero-point inputs must have the same rank.\");if(!e[1].dims.map((r,n)=>r===e[2].dims[n]).reduce((r,n)=>r&&n,!0))throw new Error(\"scale and zero-point inputs must have the same shape.\")}if(t.blockSize>0){if(e[1].dims.length===0||e[1].dims.length===1&&e[1].dims[0]===1)throw new Error(\"blockSize must be set only for block quantization.\");if(!e[1].dims.map((o,i)=>i===t.axis||o===e[0].dims[i]).reduce((o,i)=>o&&i,!0))throw new Error(\"For block qunatization, scale input shape to match the input shape except for the axis\");if(e[1].dims.length!==e[0].dims.length)throw new Error(\"For block qunatization the scale input rank must be the same as the x rank.\");let r=e[0].dims[t.axis],n=e[1].dims[t.axis];if(t.blockSize<Math.ceil(r/n)||t.blockSize>Math.ceil(r/(n-1)-1))throw new Error(\"blockSize must be with in the range [ceil(dI / Si), ceil(dI / (Si - 1) - 1)].\")}},Ih=(e,t)=>{let r=k.normalizeAxis(t.axis,e[0].dims.length),n=e[0].dataType,o=n===3,i=e[0].dims,a=e[1].dataType,d=k.size(i),l=n===3||n===2,p=l?[Math.ceil(k.size(e[0].dims)/4)]:e[0].dims,m=e[1].dims,u=e.length>2?e[2]:void 0,h=u?l?[Math.ceil(k.size(u.dims)/4)]:u.dims:void 0,_=m.length===0||m.length===1&&m[0]===1,y=_===!1&&m.length===1,g=me(d),x=_&&(!l||g===4),$=x?g:1,v=x&&!l?g:1,S=E(\"input\",l?12:n,p.length,v),T=E(\"scale\",a,m.length),A=u?E(\"zero_point\",l?12:n,h.length):void 0,C=M(\"output\",a,i.length,$),P=[S,T];A&&P.push(A);let D=[p,m];u&&D.push(h);let R=[{type:12,data:d/$},{type:12,data:r},{type:12,data:t.blockSize},...N(...D,i)],H=L=>{let re=[{name:\"output_size\",type:\"u32\"},{name:\"axis\",type:\"u32\"},{name:\"block_size\",type:\"u32\"}];return`\n ${L.registerUniforms(re).declareVariables(...P,C)}\n ${L.mainStart()}\n ${L.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.output_size\")}\n let output_indices = ${C.offsetToIndices(\"global_idx\")};\n\n // Set input x\n ${(()=>l?`\n let input = ${S.getByOffset(\"global_idx / 4\")};\n let x_vec = ${o?\"unpack4xI8(input)\":\"unpack4xU8(input)\"};\n let x_value = ${$===1?\"x_vec[global_idx % 4]\":\"x_vec\"};`:`let x_value = ${S.getByOffset(\"global_idx\")};`)()};\n\n // Set scale input\n ${(()=>_?`let scale_value= ${T.getByOffset(\"0\")}`:y?`\n let scale_index = ${C.indicesGet(\"output_indices\",\"uniforms.axis\")};\n let scale_value= ${T.getByOffset(\"scale_index\")};`:`\n var scale_indices: ${T.type.indices} = output_indices;\n let index = ${T.indicesGet(\"scale_indices\",\"uniforms.axis\")} / uniforms.block_size;\n ${T.indicesSet(\"scale_indices\",\"uniforms.axis\",\"index\")};\n let scale_value= ${T.getByIndices(\"scale_indices\")};`)()};\n\n // Set zero-point input\n ${(()=>A?_?l?`\n let zero_point_input = ${A.getByOffset(\"0\")};\n let zero_point_vec = ${o?\"unpack4xI8(zero_point_input)\":\"unpack4xU8(zero_point_input)\"};\n let zero_point_value= zero_point_vec[0]`:`let zero_point_value = ${A.getByOffset(\"0\")}`:y?l?`\n let zero_point_index = ${C.indicesGet(\"output_indices\",\"uniforms.axis\")};\n let zero_point_input = ${A.getByOffset(\"zero_point_index / 4\")};\n let zero_point_vec = ${o?\"unpack4xI8(zero_point_input)\":\"unpack4xU8(zero_point_input)\"};\n let zero_point_value = zero_point_vec[zero_point_index % 4]`:`\n let zero_point_index = ${C.indicesGet(\"output_indices\",\"uniforms.axis\")};\n let zero_point_value = ${A.getByOffset(\"zero_point_index\")};`:l?`\n let zero_point_offset = ${T.indicesToOffset(\"scale_indices\")};\n let zero_point_input = ${A.getByOffset(\"zero_point_offset / 4\")};\n let zero_point_vec = ${o?\"unpack4xI8(zero_point_input)\":\"unpack4xU8(zero_point_input)\"};\n let zero_point_value = zero_point_vec[zero_point_offset % 4];`:`let zero_point_value = ${A.getByIndices(\"scale_indices\")};`:`let zero_point_value = ${l?o?\"i32\":\"u32\":S.type.value}(0);`)()};\n // Compute and write output\n ${C.setByOffset(\"global_idx\",`${C.type.value}(x_value - zero_point_value) * scale_value`)};\n }`};return{name:\"DequantizeLinear\",shaderCache:{hint:t.cacheKey,inputDependencies:A?[\"rank\",\"rank\",\"rank\"]:[\"rank\",\"rank\"]},getShaderSource:H,getRunData:()=>({outputs:[{dims:i,dataType:a}],dispatchGroup:{x:Math.ceil(d/$/64),y:1,z:1},programUniforms:R})}},vl=(e,t)=>{Th(e.inputs,t),e.compute(Ih(e.inputs,t))},$l=e=>ee({axis:e.axis,blockSize:e.blockSize})});var Ch,Ah,Sl,Tl=U(()=>{\"use strict\";Le();J();ae();Ch=(e,t,r)=>{let n=e===t,o=e<t&&r<0,i=e>t&&r>0;if(n||o||i)throw new Error(\"Range these inputs' contents are invalid.\")},Ah=(e,t,r,n)=>{let o=Math.abs(Math.ceil((t-e)/r)),i=[o],a=o,d=[{type:12,data:a},{type:n,data:e},{type:n,data:r},...N(i)],l=p=>{let m=M(\"output\",n,i.length),u=m.type.value,h=[{name:\"outputSize\",type:\"u32\"},{name:\"start\",type:u},{name:\"delta\",type:u}];return`\n ${p.registerUniforms(h).declareVariables(m)}\n ${p.mainStart()}\n ${p.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.outputSize\")}\n output[global_idx] = uniforms.start + ${u}(global_idx) * uniforms.delta;\n }`};return{name:\"Range\",shaderCache:{hint:`${n}`},getShaderSource:l,getRunData:()=>({outputs:[{dims:i,dataType:n}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:d})}},Sl=e=>{let t=0,r=0,n=0;e.inputs[0].dataType===6?(t=e.inputs[0].getInt32Array()[0],r=e.inputs[1].getInt32Array()[0],n=e.inputs[2].getInt32Array()[0]):e.inputs[0].dataType===1&&(t=e.inputs[0].getFloat32Array()[0],r=e.inputs[1].getFloat32Array()[0],n=e.inputs[2].getFloat32Array()[0]),_e.webgpu.validateInputContent&&Ch(t,r,n),e.compute(Ah(t,r,n,e.inputs[0].dataType),{inputs:[]})}});var kh,Eh,Il,Cl,Al=U(()=>{\"use strict\";J();ne();xe();ae();kh=(e,t,r,n)=>{if(e!==\"none\"&&n!==\"i32\"&&n!==\"u32\"&&n!==\"f32\")throw new Error(`Input ${n} is not supported with reduction ${e}.`);let o=`{\n var oldValue = 0;\n loop {\n let newValueF32 =`,i=`;\n let newValue = bitcast<i32>(newValueF32);\n let res = atomicCompareExchangeWeak(&${t}, oldValue, newValue);\n if res.exchanged {\n break;\n }\n oldValue = res.old_value;\n }\n }`;switch(e){case\"none\":return`${t}=${r};`;case\"add\":return n===\"i32\"||n===\"u32\"?`atomicAdd(&${t}, bitcast<${n}>(${r}));`:`\n ${o}bitcast<${n}>(oldValue) + (${r})${i}`;case\"max\":return n===\"i32\"||n===\"u32\"?`atomicMax(&${t}, bitcast<${n}>(${r}));`:`\n ${o}max(bitcast<f32>(oldValue), (${r}))${i}`;case\"min\":return n===\"i32\"||n===\"u32\"?`atomicMin(&${t}, bitcast<${n}>(${r}));`:`${o}min(bitcast<${n}>(oldValue), (${r}))${i}`;case\"mul\":return`${o}(bitcast<${n}>(oldValue) * (${r}))${i}`;default:throw new Error(`Reduction ${e} is not supported.`)}},Eh=(e,t)=>{let r=e[0].dims,n=e[1].dims,o=r,i=1,a=Math.ceil(k.size(n)/i),d=n[n.length-1],l=k.sizeFromDimension(r,d),p=[{type:12,data:a},{type:12,data:d},{type:12,data:l},...N(e[1].dims,e[2].dims,o)],m=u=>{let h=E(\"indices\",e[1].dataType,e[1].dims.length),_=E(\"updates\",e[2].dataType,e[2].dims.length,i),y=t.reduction!==\"none\"&&t.reduction!==\"\"?ts(\"output\",e[0].dataType,o.length):M(\"output\",e[0].dataType,o.length,i);return`\n ${u.registerUniform(\"output_size\",\"u32\").registerUniform(\"last_index_dimension\",\"u32\").registerUniform(\"num_updates_elements\",\"u32\").declareVariables(h,_,y)}\n ${u.mainStart()}\n ${u.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.output_size\")}\n var data_offset = 0u;\n let indices_start = uniforms.last_index_dimension * global_idx;\n let indices_end = indices_start + uniforms.last_index_dimension;\n for (var i = indices_start; i < indices_end; i++) {\n var index = i32(indices[i].x);\n ${e[0].dims.length===1?`\n let element_count_dim = uniforms.output_strides;\n let dim_value = uniforms.output_shape;`:`\n let element_count_dim = uniforms.output_strides[i - indices_start];\n let dim_value = uniforms.output_shape[i - indices_start + uniforms.last_index_dimension];`}\n if (index >= 0) {\n if (index >= i32(dim_value)) {\n index = i32(dim_value - 1);\n }\n } else {\n if (index < -i32(dim_value)) {\n index = 0;\n } else {\n index += i32(dim_value);\n }\n }\n data_offset += u32((u32(index) * element_count_dim));\n }\n\n for (var i = 0u; i < uniforms.num_updates_elements; i++) {\n let value = updates[uniforms.num_updates_elements * global_idx + i];\n ${kh(t.reduction,\"output[data_offset + i]\",\"value\",y.type.value)}\n }\n\n }`};return{name:\"ScatterND\",shaderCache:{hint:`${t.cacheKey}_${t.reduction}`,inputDependencies:[\"rank\",\"rank\"]},getRunData:()=>({outputs:[{dims:o,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:p}),getShaderSource:m}},Il=e=>ee({reduction:e.reduction}),Cl=(e,t)=>{e.compute(Eh(e.inputs,t),{inputs:[e.inputs[1],e.inputs[2]],outputs:[]})}});var Ph,zh,Oh,kl,Dh,Bh,Mh,Rh,Uh,Nh,Vh,Wh,El,Lh,Gh,Hh,Fh,qh,Pl,zl,Ol=U(()=>{\"use strict\";J();ne();xe();ae();Ph=(e,t)=>{if(e.every(r=>r>0||(()=>{throw new Error(\"Resize requires scales input values to be positive\")})),e.length>0){if(t.mode===\"linear\"){if(!(e.length===2||e.length===3||e.length===4&&e[0]===1&&e[1]===1||e.length===4&&e[0]===1&&e[3]===1||e.length===5&&e[0]===1&&e[1]===1))throw new Error(`For linear mode, Resize requires scales to be 2D, 3D, 4D with either two outermost or one innermost and\n one outermost scale values equal to 1, or 5D with two outermost scale values equal to 1`)}else if(t.mode===\"cubic\"&&!(e.length===2||e.length===4&&e[0]===1&&e[1]===1||e.length===4&&e[0]===1&&e[3]===1))throw new Error(\"Resize requires scales input size to be 2 or 4 for cubic mode\")}},zh=(e,t,r)=>{t.every(o=>o>=0&&o<r||(()=>{throw new Error(\"Resize requires axes input values to be positive and less than rank\")}));let n=new Array(r).fill(1);return t.forEach((o,i)=>n[o]=e[i]),n},Oh=(e,t,r,n,o,i)=>{let[a,d,l]=r>10?[1,2,3]:[-1,e.length>1?1:-1,-1],p=e[0].dims.length;if(a>0&&e.length>a&&e[a].dims.length>0)e[a].getFloat32Array().forEach(m=>i.push(m));else if(t.coordinateTransformMode===\"tf_crop_and_resize\")throw new Error(\"Resize requires RoI input to be specified when coordinateTransformMode is tfCropAndResize\");if(d>0&&e.length>d&&e[d].dims.length===1&&e[d].dims[0]>0){if(e[d].getFloat32Array().forEach(m=>n.push(m)),n.length!==0&&n.length!==p&&r>=18&&n.length!==t.axes.length)throw new Error(\"Resize requires scales input size to be same as input rank or axes size for opset 18 and up\");Ph(n,t),t.axes.length>0&&zh(n,t.axes,p).forEach((m,u)=>n[u]=m)}if(l>0&&e.length>l&&e[l].dims.length===1&&e[l].dims[0]>0&&(e[l].getBigInt64Array().forEach(m=>o.push(Number(m))),o.length!==0&&o.length!==p&&r>=18&&o.length!==t.axes.length))throw new Error(\"Resize requires sizes input size to be same as input rank or axes size for opset 18 and up\");if(t.axes.length>0){if(n.length!==0&&n.length!==t.axes.length)throw new Error('Resize requires \"scales\" input size to be of axes rank when axes attributes is specified');if(o.length!==0&&o.length!==t.axes.length)throw new Error('Resize requires \"sizes\" input size to be of rank axes rank when axes attributes is specified')}if(typeof n<\"u\"&&typeof o<\"u\"&&n.length>0&&o.length>p)throw new Error(\"Resize requires only of scales or sizes to be specified\")},kl=(e,t,r,n)=>`\n // The whole part and the fractional part are calculated separately due to inaccuracy of floating\n // point division. As an example, f32(21) / f32(7) may evaluate to 2.99... instead of 3, causing an\n // offset-by-one error later in floor().\n let big = (${e}) * (${t});\n let whole = ${n}(big / (${r}));\n let fract = ${n}(big % (${r})) / ${n}(${r});\n return whole + fract;\n`,Dh=(e,t)=>`fn getOriginalCoordinateFromResizedCoordinate(xResized: u32, xScale: f32, lengthResized: u32,\n lengthOriginal: u32, roiStart: f32, roiEnd: f32) -> ${t} { `+(()=>{switch(e){case\"asymmetric\":return`\n if (xScale < 1.0 || floor(xScale) != xScale) {\n return ${t}(xResized) / ${t}(xScale);\n } else {\n ${kl(\"xResized\",\"lengthOriginal\",\"lengthResized\",t)}\n }\n `;case\"pytorch_half_pixel\":return`if (lengthResized > 1) {\n return (${t}(xResized) + 0.5) / ${t}(xScale) - 0.5;\n } else {\n return 0.0;\n }`;case\"tf_half_pixel_for_nn\":return`return (${t}(xResized) + 0.5) / ${t}(xScale);`;case\"align_corners\":return`if (lengthResized == 1) {\n return 0.0;\n } else {\n ${kl(\"xResized\",\"lengthOriginal - 1\",\"lengthResized - 1\",t)}\n }`;case\"tf_crop_and_resize\":return`if (lengthResized > 1) {\n return ${t}(roiStart) * ${t}(lengthOriginal - 1) +\n (${t}(xResized) * ${t}(roiEnd - roiStart) * ${t}(lengthOriginal - 1)) /\n ${t}(lengthResized - 1);\n } else {\n return 0.5 * ${t}(roiStart + roiEnd) * ${t}(lengthOriginal - 1);\n }`;case\"half_pixel_symmetric\":return`const outputWidth = ${t}xScale * ${t}(lengthResized);\n const adjustment = ${t}(lengthResized) / outputWidth;\n const center = ${t}(lengthOriginal) / 2;\n const offset = center * (1 - adjustment);\n return offset + ((${t}(xResized) + 0.5) / ${t}(xScale)) - 0.5;`;case\"half_pixel\":return`return ((${t}(xResized) + 0.5) / ${t}(xScale)) - 0.5;`;default:throw new Error(`Coordinate transform mode ${e} is not supported`)}})()+\"}\",Bh=(e,t,r)=>`fn getNearestPixelFromOriginal(xOriginal: ${r}, isDownSample: bool) -> ${r} {`+(()=>{switch(e){case\"round_prefer_ceil\":return\"if (fract(xOriginal) == 0.5) { return ceil(xOriginal); } else { return round(xOriginal); }\";case\"floor\":return\"return floor(xOriginal);\";case\"ceil\":return\"return ceil(xOriginal);\";case\"round_prefer_floor\":return\"if (fract(xOriginal) == 0.5) { return floor(xOriginal); } else { return round(xOriginal); }\";case\"simple\":default:if(t<11)return\"if (isDownSample) { return ceil(xOriginal); } else { return xOriginal; }\";throw new Error(`Nearest mode ${e} is not supported`)}})()+\"}\",Mh=(e,t,r)=>{let n=new Array(r).fill(0).concat(new Array(r).fill(1)),o=e.length===0?n:e.slice();return t.length>0?(t.forEach((i,a)=>{n[i]=o[a],n[a+r]=o[t.length+a]}),n):o},Rh=(e,t,r,n)=>{let o=[];if(r.length>0)if(n.length>0){if(e.forEach(i=>o.push(i)),Math.max(...n)>e.length)throw new Error(\"axes is out of bound\");n.forEach((i,a)=>o[i]=r[a])}else r.forEach(i=>o.push(i));else{if(t.length===0)throw new Error(\"Resize requires either scales or sizes.\");o=e.map((i,a)=>Math.round(i*t[a]))}return o},Uh=(e,t,r)=>{let n=(()=>{switch(r.keepAspectRatioPolicy){case\"not_larger\":return r.axes.length>0?Math.min(...r.axes.map(i=>t[i]),Number.MAX_VALUE):Math.min(...t,Number.MAX_VALUE);case\"not_smaller\":return r.axes.length>0?Math.max(...r.axes.map(i=>t[i]),Number.MIN_VALUE):Math.max(...t,Number.MIN_VALUE);default:throw new Error(`Keep aspect ratio policy ${r.keepAspectRatioPolicy} is not supported`)}})();t.fill(1,0,t.length);let o=e.slice();return r.axes.length>0?(r.axes.forEach(i=>t[i]=n),r.axes.forEach(i=>o[i]=Math.round(e[i]*t[i]))):(t.fill(n,0,t.length),o.forEach((i,a)=>o[a]=Math.round(i*t[a]))),o},Nh=(e,t,r,n,o)=>`\n fn calculateOriginalIndicesFromOutputIndices(output_indices: ${e.type.indices}) -> array<${e.type.value}, ${r.length}> {\n var original_indices: array<${e.type.value}, ${r.length}>;\n for (var i:u32 = 0; i < ${r.length}; i++) {\n var output_index = ${e.indicesGet(\"output_indices\",\"i\")};\n var scale = ${q(\"uniforms.scales\",\"i\",n)};\n var roi_low = ${q(\"uniforms.roi\",\"i\",o)};\n var roi_hi = ${q(\"uniforms.roi\",`i + ${t.length}`,o)};\n if (scale == 1.0) {\n original_indices[i] = ${e.type.value}(output_index);\n } else {\n var input_shape_i = ${q(\"uniforms.input_shape\",\"i\",t.length)};\n var output_shape_i = ${q(\"uniforms.output_shape\",\"i\",r.length)};\n original_indices[i] = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i,\n input_shape_i, roi_low, roi_hi);\n }\n }\n return original_indices;\n }`,Vh=(e,t,r,n,o,i,a)=>`\n fn calculateInputIndicesFromOutputIndices(output_indices: ${t.type.indices}) -> ${e.type.indices} {\n var input_indices: ${e.type.indices};\n for (var i:u32 = 0; i < ${n.length}; i++) {\n var output_index = ${t.indicesGet(\"output_indices\",\"i\")};\n var input_index: u32;\n var scale = ${q(\"uniforms.scales\",\"i\",o)};\n if (scale == 1.0) {\n input_index = output_index;\n } else {\n var roi_low = ${q(\"uniforms.roi\",\"i\",i)};\n var roi_hi = ${q(\"uniforms.roi\",`i + ${r.length}`,i)};\n var input_shape_i = ${q(\"uniforms.input_shape\",\"i\",r.length)};\n var output_shape_i = ${q(\"uniforms.output_shape\",\"i\",n.length)};\n var original_idx = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i,\n input_shape_i, roi_low, roi_hi);\n if (!${a} || (original_idx >= 0 && original_idx < ${t.type.value}(input_shape_i))) {\n if (original_idx < 0) {\n input_index = 0;\n } else if (original_idx > ${t.type.value}(input_shape_i - 1)) {\n input_index = input_shape_i - 1;\n } else {\n input_index = u32(getNearestPixelFromOriginal(original_idx, scale < 1));\n }\n } else {\n input_index = u32(original_idx);\n }\n }\n ${e.indicesSet(\"input_indices\",\"i\",\"input_index\")}\n }\n return input_indices;\n }`,Wh=(e,t)=>`\n fn checkInputIndices(input_indices: ${e.type.indices}) -> bool {\n for (var i:u32 = 0; i < ${t.length}; i++) {\n var input_index = ${e.indicesGet(\"input_indices\",\"i\")};\n if (input_index < 0 || input_index >= ${q(\"uniforms.input_shape\",\"i\",t.length)}) {\n return false;\n }\n }\n return true;\n }`,El=(e,t,r,n)=>e.rank>n?`\n ${e.indicesSet(\"input_indices\",t,\"channel\")};\n ${e.indicesSet(\"input_indices\",r,\"batch\")};\n`:\"\",Lh=(e,t,r,n,o)=>{let[a,d,l,p]=r.length===2?[-1,0,1,-1]:[0,2,3,1],m=e.type.value;return`\n fn getInputValue(batch: u32, channel: u32, row: u32, col: u32) -> ${m} {\n var input_indices: ${e.type.indices};\n ${e.indicesSet(\"input_indices\",d,`max(0, min(row, ${r[d]} - 1))`)};\n ${e.indicesSet(\"input_indices\",l,`max(0, min(col, ${r[l]} - 1))`)};\n ${El(e,p,a,2)}\n return ${e.getByIndices(\"input_indices\")};\n }\n\n fn bilinearInterpolation(output_indices: ${t.type.indices}) -> ${m} {\n var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices);\n var row:${m} = originalIndices[${d}];\n var col:${m} = originalIndices[${l}];\n ${n?`if (row < 0 || row > (${r[d]} - 1) || col < 0 || col > (${r[l]} - 1)) {\n return ${o};\n }`:\"\"};\n row = max(0, min(row, ${r[d]} - 1));\n col = max(0, min(col, ${r[l]} - 1));\n var row1: u32 = u32(row);\n var col1: u32 = u32(col);\n var row2: u32 = u32(row + 1);\n var col2: u32 = u32(col + 1);\n var channel: u32 = ${r.length>2?`u32(originalIndices[${p}])`:\"0\"};\n var batch: u32 = ${r.length>2?`u32(originalIndices[${a}])`:\"0\"};\n var x11: ${m} = getInputValue(batch, channel, row1, col1);\n var x12: ${m} = getInputValue(batch, channel, row1, col2);\n var x21: ${m} = getInputValue(batch, channel, row2, col1);\n var x22: ${m} = getInputValue(batch, channel, row2, col2);\n var dx1: ${m} = abs(row - ${m}(row1));\n var dx2: ${m} = abs(${m}(row2) - row);\n var dy1: ${m} = abs(col - ${m}(col1));\n var dy2: ${m} = abs(${m}(col2) - col);\n if (row1 == row2) {\n dx1 = 0.5;\n dx2 = 0.5;\n }\n if (col1 == col2) {\n dy1 = 0.5;\n dy2 = 0.5;\n }\n return (x11 * dx2 * dy2 + x12 * dx2 * dy1 + x21 * dx1 * dy2 + x22 * dx1 * dy1);\n }`},Gh=(e,t,r,n,o,i,a,d,l,p)=>{let m=r.length===2,u=!0,[h,_]=m?[0,1]:u?[2,3]:[1,2],y=e.type.value,g=x=>{let $=x===h?\"row\":\"col\";return`\n fn ${$}CubicInterpolation(input_indices: ${e.type.indices}, output_indices: ${t.type.indices}) -> ${y} {\n var output_index = ${t.indicesGet(\"output_indices\",x)};\n var originalIdx: ${y} = getOriginalCoordinateFromResizedCoordinate(output_index, ${o[x]},\n ${n[x]}, ${r[x]}, ${i[x]}, ${i[x]} + ${r.length});\n var fractOriginalIdx: ${y} = originalIdx - floor(originalIdx);\n var coefs = getCubicInterpolationCoefs(fractOriginalIdx);\n\n if (${d} && (originalIdx < 0 || originalIdx > (${r[x]} - 1))) {\n return ${l};\n }\n var data: array<${y}, 4> = array<${y}, 4>(0.0, 0.0, 0.0, 0.0);\n for (var i: i32 = -1; i < 3; i++) {\n var ${$}: ${y} = originalIdx + ${y}(i);\n if (${$} < 0 || ${$} >= ${r[x]}) {\n ${(()=>p?`coefs[i + 1] = 0.0;\n continue;`:d?`return ${l};`:`${$} = max(0, min(${$}, ${r[x]} - 1));`)()};\n }\n var input_indices_copy: ${e.type.indices} = input_indices;\n ${e.indicesSet(\"input_indices_copy\",x,`u32(${$})`)};\n data[i + 1] = ${x===h?e.getByIndices(\"input_indices_copy\"):\"rowCubicInterpolation(input_indices_copy, output_indices)\"};\n }\n return cubicInterpolation1D(data, coefs);\n }`};return`\n ${g(h)};\n ${g(_)};\n fn getCubicInterpolationCoefs(s: ${y}) -> array<${y}, 4> {\n var absS = abs(s);\n var coeffs: array<${y}, 4> = array<${y}, 4>(0.0, 0.0, 0.0, 0.0);\n var oneMinusAbsS: ${y} = 1.0 - absS;\n var twoMinusAbsS: ${y} = 2.0 - absS;\n var onePlusAbsS: ${y} = 1.0 + absS;\n coeffs[0] = ((${a} * onePlusAbsS - 5 * ${a}) * onePlusAbsS + 8 * ${a}) * onePlusAbsS - 4 * ${a};\n coeffs[1] = ((${a} + 2) * absS - (${a} + 3)) * absS * absS + 1;\n coeffs[2] = ((${a} + 2) * oneMinusAbsS - (${a} + 3)) * oneMinusAbsS * oneMinusAbsS + 1;\n coeffs[3] = ((${a} * twoMinusAbsS - 5 * ${a}) * twoMinusAbsS + 8 * ${a}) * twoMinusAbsS - 4 * ${a};\n return coeffs;\n }\n\n fn cubicInterpolation1D(x: array<${y}, 4>, coefs: array<${y}, 4>) -> ${y} {\n var coefsSum: ${y} = coefs[0] + coefs[1] + coefs[2] + coefs[3];\n return (x[0] * coefs[0] + x[1] * coefs[1]+ x[2] * coefs[2]+ x[3] * coefs[3]) / coefsSum;\n }\n\n fn bicubicInterpolation(output_indices: ${t.type.indices}) -> ${y} {\n var input_indices: ${e.type.indices} = output_indices;\n return colCubicInterpolation(input_indices, output_indices);\n }\n `},Hh=(e,t,r,n,o)=>{let[a,d,l,p,m]=r.length===3?[-1,0,1,2,-1]:[0,2,3,4,1],u=e.type.value;return`\n fn getInputValue(batch: u32, channel: u32, depth:u32, height: u32, width: u32) -> ${u} {\n var input_indices: ${e.type.indices};\n ${e.indicesSet(\"input_indices\",d,`max(0, min(depth, ${r[d]} - 1))`)};\n ${e.indicesSet(\"input_indices\",l,`max(0, min(height, ${r[l]} - 1))`)};\n ${e.indicesSet(\"input_indices\",p,`max(0, min(width, ${r[p]} - 1))`)};\n ${El(e,m,a,3)}\n return ${e.getByIndices(\"input_indices\")};\n }\n\n fn trilinearInterpolation(output_indices: ${t.type.indices}) -> ${u} {\n var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices);\n var depth:${u} = originalIndices[${d}];\n var height:${u} = originalIndices[${l}];\n var width:${u} = originalIndices[${p}];\n ${n?`if (depth < 0 || depth > (${r[d]} - 1) || height < 0 || height > (${r[l]} - 1) || width < 0 || (width > ${r[p]} - 1)) {\n return ${o};\n }`:\"\"};\n\n depth = max(0, min(depth, ${r[d]} - 1));\n height = max(0, min(height, ${r[l]} - 1));\n width = max(0, min(width, ${r[p]} - 1));\n var depth1: u32 = u32(depth);\n var height1: u32 = u32(height);\n var width1: u32 = u32(width);\n var depth2: u32 = u32(depth + 1);\n var height2: u32 = u32(height + 1);\n var width2: u32 = u32(width + 1);\n var channel: u32 = ${r.length>3?`u32(originalIndices[${m}])`:\"0\"};\n var batch: u32 = ${r.length>3?`u32(originalIndices[${a}])`:\"0\"};\n\n var x111: ${u} = getInputValue(batch, channel, depth1, height1, width1);\n var x112: ${u} = getInputValue(batch, channel, depth1, height1, width2);\n var x121: ${u} = getInputValue(batch, channel, depth1, height2, width1);\n var x122: ${u} = getInputValue(batch, channel, depth1, height2, width2);\n var x211: ${u} = getInputValue(batch, channel, depth2, height1, width1);\n var x212: ${u} = getInputValue(batch, channel, depth2, height1, width2);\n var x221: ${u} = getInputValue(batch, channel, depth2, height2, width1);\n var x222: ${u} = getInputValue(batch, channel, depth2, height2, width2);\n var dx1: ${u} = abs(depth - ${u}(depth1));\n var dx2: ${u} = abs(${u}(depth2) - depth);\n var dy1: ${u} = abs(height - ${u}(height1));\n var dy2: ${u} = abs(${u}(height2) - height);\n var dz1: ${u} = abs(width - ${u}(width1));\n var dz2: ${u} = abs(${u}(width2) - width);\n if (depth1 == depth2) {\n dx1 = 0.5;\n dx2 = 0.5;\n }\n if (height1 == height2) {\n dy1 = 0.5;\n dy2 = 0.5;\n }\n if (width1 == width2) {\n dz1 = 0.5;\n dz2 = 0.5;\n }\n return (x111 * dx2 * dy2 * dz2 + x112 * dx2 * dy2 * dz1 + x121 * dx2 * dy1 *dz2 + x122 * dx2 * dy1 * dz1 +\n x211 * dx1 * dy2 * dz2 + x212 * dx1 * dy2 * dz1 + x221 * dx1 * dy1 *dz2 + x222 * dx1 * dy1 * dz1);\n }`},Fh=(e,t,r,n,o,i)=>{let a=e.dims,d=Mh(i,t.axes,a.length),l=Rh(a,n,o,t.axes),p=n.slice();n.length===0&&(p=a.map((v,S)=>v===0?1:l[S]/v),t.keepAspectRatioPolicy!==\"stretch\"&&(l=Uh(a,p,t)));let m=M(\"output\",e.dataType,l.length),u=E(\"input\",e.dataType,a.length),h=k.size(l),_=a.length===l.length&&a.every((v,S)=>v===l[S]),y=t.coordinateTransformMode===\"tf_crop_and_resize\",g=t.extrapolationValue,x=u.type.value,$=v=>`\n ${_?\"\":`\n ${Dh(t.coordinateTransformMode,x)};\n ${(()=>{switch(t.mode){case\"nearest\":return`\n ${Wh(u,a)};\n ${Bh(t.nearestMode,r,x)};\n ${Vh(u,m,a,l,p.length,d.length,y)};\n `;case\"linear\":return`\n ${Nh(m,a,l,p.length,d.length)};\n ${(()=>{if(a.length===2||a.length===4)return`${Lh(u,m,a,y,g)}`;if(a.length===3||a.length===5)return`${Hh(u,m,a,y,g)}`;throw Error(\"Linear mode only supports input dims 2, 3, 4 and 5 are supported in linear mode.\")})()};\n `;case\"cubic\":return`\n ${(()=>{if(a.length===2||a.length===4)return`${Gh(u,m,a,l,p,d,t.cubicCoeffA,y,t.extrapolationValue,t.excludeOutside)}`;throw Error(\"Cubic mode only supports input dims 2 and 4 are supported in linear mode.\")})()};\n `;default:throw Error(\"Invalid resize mode\")}})()};\n `}\n ${v.registerUniform(\"output_size\",\"u32\").registerUniform(\"scales\",\"f32\",p.length).registerUniform(\"roi\",\"f32\",d.length).declareVariables(u,m)}\n ${v.mainStart()}\n ${v.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.output_size\")}\n ${_?\"output[global_idx] = input[global_idx];\":`\n let output_indices = ${m.offsetToIndices(\"global_idx\")};\n var input_indices: ${u.type.indices};\n ${(()=>{switch(t.mode){case\"nearest\":return`input_indices = calculateInputIndicesFromOutputIndices(output_indices);\n if (checkInputIndices(input_indices)) {\n output[global_idx] = ${u.getByIndices(\"input_indices\")};\n } else {\n output[global_idx] = ${t.extrapolationValue};\n }`;case\"linear\":return`output[global_idx] = ${a.length===2||a.length===4?\"bilinearInterpolation\":\"trilinearInterpolation\"}(output_indices);`;case\"cubic\":return\"output[global_idx] = bicubicInterpolation(output_indices);\";default:throw Error(`Unsupported resize mode: ${t.mode}`)}})()};\n`}\n }`;return{name:\"Resize\",shaderCache:{hint:`${t.cacheKey}|${r}|${p.length>0?t.mode===\"cubic\"?p:p.length:\"\"}|${o.length>0?o:\"\"}|${d.length>0?d:\"\"}|${_}|${t.mode===\"nearest\"?a.length:a}`,inputDependencies:[\"rank\"]},getShaderSource:$,getRunData:()=>({outputs:[{dims:l,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:[{type:12,data:h},{type:1,data:p},{type:1,data:d},...N(a,l)]})}},qh=e=>{let t=e.customDataBuffer;return new Uint32Array(t,t.byteOffset,1)[0]},Pl=(e,t)=>{let r=[],n=[],o=[],i=qh(e);if(t.antialias!==0)throw Error(\"Only default value (0) for Antialias attribute is supported\");Oh(e.inputs,t,i,r,n,o),e.compute(Fh(e.inputs[0],t,i,r,n,o),{inputs:[0]})},zl=e=>{let t=e.antialias,r=e.axes,n=e.coordinateTransformMode,o=e.cubicCoeffA,i=e.excludeOutside!==0,a=e.extrapolationValue,d=e.keepAspectRatioPolicy,l=e.mode,p=e.nearestMode===\"\"?\"simple\":e.nearestMode;return ee({antialias:t,axes:r,coordinateTransformMode:n,cubicCoeffA:o,excludeOutside:i,extrapolationValue:a,keepAspectRatioPolicy:d,mode:l,nearestMode:p})}});var Kh,jh,Dl,Bl=U(()=>{\"use strict\";J();ne();xe();ae();Kh=(e,t)=>{let[r,n,o,i]=e,{numHeads:a,rotaryEmbeddingDim:d}=t;if(r.dims.length!==3&&r.dims.length!==4)throw new Error(`Input 'x' is expected to have 3 or 4 dimensions, got ${r.dims.length}`);if(!k.areEqual(n.dims,[])&&!k.areEqual(n.dims,[1])&&n.dims.length!==2)throw new Error(`Input 'position_ids' is expected to have 0, 1, or 2 dimensions, got ${n.dims.length}`);if(o.dims.length!==2)throw new Error(`Input 'cos_cache' is expected to have 2 dimensions, got ${o.dims.length}`);if(i.dims.length!==2)throw new Error(`Input 'sin_cache' is expected to have 2 dimensions, got ${i.dims.length}`);if(!k.areEqual(o.dims,i.dims))throw new Error(\"Inputs 'cos_cache' and 'sin_cache' are expected to have the same shape\");if(d>0&&a===0)throw new Error(\"num_heads must be provided if rotary_embedding_dim is specified\");let l=r.dims[0],p=r.dims[r.dims.length-2],m=o.dims[0],u=k.sizeFromDimension(r.dims,1)/p,h=d===0?o.dims[1]*2:u/a;if(d>h)throw new Error(\"rotary_embedding_dim must be less than or equal to head_size\");if(n.dims.length===2){if(l!==n.dims[0])throw new Error(`Input 'position_ids' dimension 0 should be of size batch_size, got ${n.dims[0]}`);if(p!==n.dims[1])throw new Error(`Input 'position_ids' dimension 1 should be of size sequence_length, got ${n.dims[1]}`)}if(h/2!==o.dims[1]&&d/2!==o.dims[1])throw new Error(`Input 'cos_cache' dimension 1 should be same as head_size / 2 or rotary_embedding_dim / 2, got ${o.dims[1]}`);if(p>m)throw new Error(\"Updating cos_cache and sin_cache in RotaryEmbedding is not currently supported\")},jh=(e,t)=>{let{interleaved:r,numHeads:n,rotaryEmbeddingDim:o,scale:i}=t,a=e[0].dims[0],d=k.sizeFromDimension(e[0].dims,1),l=e[0].dims[e[0].dims.length-2],p=d/l,m=e[2].dims[1],u=o===0?m*2:p/n,h=new Array(a,l,p/u,u-m),_=k.computeStrides(h),y=[{type:1,data:i},{type:12,data:h},{type:12,data:_},...e[0].dims.length===3?new Array({type:12,data:[d,p,u,1]}):[],...e[0].dims.length===4?new Array({type:12,data:[d,u,l*u,1]}):[],...N(e[0].dims,e[1].dims,e[2].dims,e[3].dims,e[0].dims)],g=x=>{let $=E(\"input\",e[0].dataType,e[0].dims.length),v=E(\"position_ids\",e[1].dataType,e[1].dims.length),S=E(\"cos_cache\",e[2].dataType,e[2].dims.length),T=E(\"sin_cache\",e[3].dataType,e[3].dims.length),A=M(\"output\",e[0].dataType,e[0].dims.length);return x.registerUniforms([{name:\"scale\",type:\"f32\"},{name:\"global_shape\",type:\"u32\",length:h.length},{name:\"global_strides\",type:\"u32\",length:_.length},{name:\"input_output_strides\",type:\"u32\",length:_.length}]),`\n ${x.declareVariables($,v,S,T,A)}\n\n ${x.mainStart(Et)}\n let half_rotary_emb_dim = uniforms.${S.name}_shape[1];\n let bsnh = global_idx / uniforms.global_strides % uniforms.global_shape;\n let size = uniforms.global_shape[0] * uniforms.global_strides[0];\n ${x.guardAgainstOutOfBoundsWorkgroupSizes(\"size\")}\n\n if (bsnh[3] < half_rotary_emb_dim) {\n let position_ids_idx =\n ${v.broadcastedIndicesToOffset(\"bsnh.xy\",M(\"\",v.type.tensor,2))};\n let position_id =\n u32(${v.getByOffset(\"position_ids_idx\")}) + select(0, bsnh[1], position_ids_idx == 0);\n let i = dot(bsnh, uniforms.input_output_strides) + select(0, bsnh[3], ${r});\n let j = i + select(half_rotary_emb_dim, 1, ${r});\n let re = ${$.getByOffset(\"i\")} * ${S.get(\"position_id\",\"bsnh[3]\")} -\n ${$.getByOffset(\"j\")} * ${T.get(\"position_id\",\"bsnh[3]\")};\n ${A.setByOffset(\"i\",\"re\")}\n let im = ${$.getByOffset(\"i\")} * ${T.get(\"position_id\",\"bsnh[3]\")} +\n ${$.getByOffset(\"j\")} * ${S.get(\"position_id\",\"bsnh[3]\")};\n ${A.setByOffset(\"j\",\"im\")}\n } else {\n let k = dot(bsnh, uniforms.input_output_strides) + half_rotary_emb_dim;\n ${A.setByOffset(\"k\",$.getByOffset(\"k\"))}\n }\n }`};return{name:\"RotaryEmbedding\",shaderCache:{hint:ee({interleaved:r}).cacheKey,inputDependencies:[\"rank\",\"rank\",\"rank\",\"rank\"]},getShaderSource:g,getRunData:()=>({outputs:[{dims:e[0].dims,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(k.size(h)/Et)},programUniforms:y})}},Dl=(e,t)=>{Kh(e.inputs,t),e.compute(jh(e.inputs,t))}});var Yh,Zh,Ml,Rl=U(()=>{\"use strict\";J();ne();ae();Yh=e=>{if(!e||e.length<3)throw new Error(\"layerNorm requires at least 3 inputs.\");let t=e[0],r=e[1],n=e[2];if(t.dataType!==r.dataType||t.dataType!==n.dataType)throw new Error(\"All inputs must have the same data type\");if(t.dims.length!==3&&t.dims.length!==2)throw new Error(\"Input must be 2D or 3D\");if(r.dims.length!==3&&r.dims.length!==2)throw new Error(\"Skip must be 2D or 3D\");let o=t.dims[t.dims.length-1],i=t.dims[t.dims.length-2];if(r.dims[r.dims.length-1]!==o)throw new Error(\"Skip must have the same hidden size as input\");if(r.dims[r.dims.length-2]!==i)throw new Error(\"Skip must have the same sequence length as input\");if(n.dims.length!==1)throw new Error(\"Gamma must be 1D\");if(n.dims[n.dims.length-1]!==o)throw new Error(\"Gamma must have the same hidden size as input\");if(e.length>3){let a=e[3];if(a.dims.length!==1)throw new Error(\"Beta must be 1D\");if(a.dims[a.dims.length-1]!==o)throw new Error(\"Beta must have the same hidden size as input\")}if(e.length>4){let a=e[4];if(a.dims.length!==1)throw new Error(\"Bias must be 1D\");if(a.dims[a.dims.length-1]!==o)throw new Error(\"Bias must have the same hidden size as input\")}},Zh=(e,t,r,n)=>{let o=t.simplified,i=e[0].dims,a=k.size(i),d=i,l=a,p=i.slice(-1)[0],m=n?i.slice(0,-1).concat(1):[],u=!o&&e.length>3,h=e.length>4,_=n&&r>1,y=n&&r>2,g=r>3,x=64,$=me(p),v=[{type:12,data:l},{type:12,data:$},{type:12,data:p},{type:1,data:t.epsilon}],S=A=>{let C=[{name:\"output_size\",type:\"u32\"},{name:\"components\",type:\"u32\"},{name:\"hidden_size\",type:\"u32\"},{name:\"epsilon\",type:\"f32\"}],P=[E(\"x\",e[0].dataType,e[0].dims,$),E(\"skip\",e[1].dataType,e[1].dims,$),E(\"gamma\",e[2].dataType,e[2].dims,$)];u&&P.push(E(\"beta\",e[3].dataType,e[3].dims,$)),h&&P.push(E(\"bias\",e[4].dataType,e[4].dims,$)),P.push(M(\"output\",e[0].dataType,d,$)),_&&P.push(M(\"mean_output\",1,m)),y&&P.push(M(\"inv_std_output\",1,m)),g&&P.push(M(\"input_skip_bias_sum\",e[0].dataType,d,$));let D=ye(e[0].dataType),R=ye(1,$);return`\n\n ${A.registerUniforms(C).declareVariables(...P)}\n var<workgroup> sum_shared : array<${R}, ${x}>;\n var<workgroup> sum_squared_shared : array<${R}, ${x}>;\n\n ${A.mainStart([x,1,1])}\n let ix = local_id.x;\n let iy = global_id.x / ${x};\n\n let hidden_size_vectorized: u32 = uniforms.hidden_size / uniforms.components;\n var stride = hidden_size_vectorized / ${x};\n let offset = ix * stride + iy * hidden_size_vectorized;\n let offset1d = stride * ix;\n if (ix == ${x-1}) {\n stride = hidden_size_vectorized - stride * ix;\n }\n for (var i: u32 = 0; i < stride; i++) {\n let skip_value = skip[offset + i];\n let bias_value = ${h?\"bias[offset1d + i]\":D+\"(0.0)\"};\n let input_value = x[offset + i];\n let value = input_value + skip_value + bias_value;\n ${g?\"input_skip_bias_sum[offset + i] = value;\":\"\"}\n output[offset + i] = value;\n let f32_value = ${Pt(D,$,\"value\")};\n sum_shared[ix] += f32_value;\n sum_squared_shared[ix] += f32_value * f32_value;\n }\n workgroupBarrier();\n\n var reduce_size : u32 = ${x};\n for (var curr_size = reduce_size >> 1; curr_size > 0; curr_size = reduce_size >> 1) {\n reduce_size = curr_size + (reduce_size & 1);\n if (ix < curr_size) {\n sum_shared[ix] += sum_shared[ix + reduce_size];\n sum_squared_shared[ix] += sum_squared_shared[ix + reduce_size];\n }\n workgroupBarrier();\n }\n\n let sum = sum_shared[0];\n let square_sum = sum_squared_shared[0];\n let mean = ${qe(\"sum\",$)} / f32(uniforms.hidden_size);\n let inv_std_dev = inverseSqrt(${qe(\"square_sum\",$)} / f32(uniforms.hidden_size) ${o?\"\":\"- mean * mean\"} + uniforms.epsilon);\n ${_?\"mean_output[global_idx] = mean;\":\"\"}\n ${y?\"inv_std_output[global_idx] = inv_std_dev;\":\"\"}\n\n for (var i: u32 = 0; i < stride; i++) {\n output[offset + i] = (output[offset + i] ${o?\"\":`- ${D}(mean)`}) *\n ${D}(inv_std_dev) * gamma[offset1d + i]\n ${u?\"+ beta[offset1d + i]\":\"\"};\n }\n }`},T=[{dims:d,dataType:e[0].dataType}];return r>1&&T.push({dims:m,dataType:1}),r>2&&T.push({dims:m,dataType:1}),r>3&&T.push({dims:i,dataType:e[0].dataType}),{name:\"SkipLayerNormalization\",shaderCache:{hint:`${$};${_};${y};${g}`,inputDependencies:e.map((A,C)=>\"type\")},getShaderSource:S,getRunData:()=>({outputs:T,dispatchGroup:{x:Math.ceil(l/p)},programUniforms:v})}},Ml=(e,t)=>{Yh(e.inputs);let n=[0];e.outputCount>1&&n.push(-3),e.outputCount>2&&n.push(-3),e.outputCount>3&&n.push(3),e.compute(Zh(e.inputs,t,e.outputCount,!1),{outputs:n})}});var Qh,tn,Xh,Ul,Jh,eg,Nl,Vl,Wl=U(()=>{\"use strict\";J();ne();xe();ae();Qh=(e,t)=>{if(!e||e.length<1)throw new Error(\"too few inputs\");if(t.axes.length!==0){if(t.axes.length!==t.starts.length||t.axes.length!==t.ends.length)throw new Error(\"axes, starts and ends must have the same length\")}else if(t.starts.length!==t.ends.length)throw new Error(\"starts and ends must have the same length\");e.slice(1).forEach((r,n)=>{if(e[n+1].dataType!==6&&e[n+1].dataType!==7)throw new Error(`Input ${n} 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l=i.map($=>Math.sign($));i.forEach(($,v,S)=>{if($<0){let T=(d[v]-a[v])/$,A=a[v],C=A+T*i[v];a[v]=C,d[v]=A,S[v]=-$}});let p=r.slice(0);o.forEach(($,v)=>{p[$]=Math.ceil((d[$]-a[$])/i[$])});let m={dims:p,dataType:e[0].dataType},u=M(\"output\",e[0].dataType,p.length),h=E(\"input\",e[0].dataType,e[0].dims.length),_=k.size(p),y=[{name:\"outputSize\",type:\"u32\"},{name:\"starts\",type:\"u32\",length:a.length},{name:\"signs\",type:\"i32\",length:l.length},{name:\"steps\",type:\"u32\",length:i.length}],g=[{type:12,data:_},{type:12,data:a},{type:6,data:l},{type:12,data:i},...N(e[0].dims,p)],x=$=>`\n ${$.registerUniforms(y).declareVariables(h,u)}\n ${Jh(h,u,r)}\n ${$.mainStart()}\n ${$.guardAgainstOutOfBoundsWorkgroupSizes(\"uniforms.outputSize\")}\n let output_indices = ${u.offsetToIndices(\"global_idx\")};\n let input_indices = calculateInputIndices(output_indices);\n ${u.setByOffset(\"global_idx\",h.getByIndices(\"input_indices\"))}\n }`;return{name:\"Slice\",shaderCache:{hint:`${l.length}_${a.length}_${i.length}`,inputDependencies:[\"rank\"]},getShaderSource:x,getRunData:()=>({outputs:[m],dispatchGroup:{x:Math.ceil(n/64)},programUniforms:g})}},Nl=(e,t)=>{Qh(e.inputs,t);let r=Xh(e.inputs,t);e.compute(eg(e.inputs,r),{inputs:[0]})},Vl=e=>{let t=e.starts,r=e.ends,n=e.axes;return ee({starts:t,ends:r,axes:n})}});var tg,rg,Ll,Gl,Hl=U(()=>{\"use strict\";J();ne();xe();dt();ae();tg=e=>{if(!e||e.length!==1)throw new Error(\"Softmax op requires 1 input.\")},rg=(e,t)=>{let r=e.inputs[0],n=r.dims,o=k.size(n),i=n.length,a=k.normalizeAxis(t.axis,i),d=a<n.length-1,l,p=[];d?(p=Array.from({length:i},(P,D)=>D),p[a]=i-1,p[i-1]=a,l=e.compute(Pe(r,p),{inputs:[r],outputs:[-1]})[0]):l=r;let m=l.dims,u=m[i-1],h=o/u,_=me(u),y=u/_,g=64;h===1&&(g=256);let x=(P,D)=>D===4?`max(max(${P}.x, ${P}.y), max(${P}.z, ${P}.w))`:D===2?`max(${P}.x, ${P}.y)`:D===3?`max(max(${P}.x, ${P}.y), ${P}.z)`:P,$=E(\"x\",l.dataType,l.dims,_),v=M(\"result\",l.dataType,l.dims,_),S=$.type.value,T=ye(l.dataType)===\"f32\"?`var threadMax = ${S}(-3.402823e+38f);`:`var threadMax = ${S}(-65504.0h);`,A=P=>`\n var<workgroup> rowMaxShared : ${S};\n var<workgroup> rowSumShared : ${S};\n var<workgroup> threadShared : array<${S}, ${g}>;\n\n fn getValue(row: i32, col: i32, row_stride: i32) -> ${S} {\n let index = row * row_stride + col;\n return x[index];\n }\n\n fn setValue(row: i32, col: i32, row_stride: i32, value: ${S}) {\n let index = row * row_stride + col;\n result[index] = value;\n }\n ${P.registerUniform(\"packedCols\",\"i32\").declareVariables($,v)}\n ${P.mainStart(g)}\n let gindex = i32(global_idx);\n let lindex = i32(local_idx);\n const wg = ${g};\n let row = gindex / wg;\n let cols = uniforms.packedCols;\n let row_stride : i32 = uniforms.packedCols;\n\n // find the rows max\n ${T}\n for (var col = lindex; col < cols; col += wg) {\n let value = getValue(row, col, row_stride);\n 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if (lindex == 0) {\n rowSumShared = ${S}(${qe(\"threadShared[0]\",_)});\n }\n workgroupBarrier();\n\n // calculate final value for each element in the row\n for (var col = lindex; col < cols; col += wg) {\n let value = exp(getValue(row, col, row_stride) - rowMaxShared) / rowSumShared;\n setValue(row, col, row_stride, value);\n }\n }`,C=e.compute({name:\"Softmax\",shaderCache:{hint:`${_};${g}`,inputDependencies:[\"type\"]},getRunData:()=>({outputs:[{dims:m,dataType:l.dataType}],dispatchGroup:{x:h},programUniforms:[{type:6,data:y}]}),getShaderSource:A},{inputs:[l],outputs:[d?-1:0]})[0];d&&e.compute(Pe(C,p),{inputs:[C]})},Ll=(e,t)=>{tg(e.inputs),rg(e,t)},Gl=e=>ee({axis:e.axis})});var Fl,ng,og,ig,ql,Kl=U(()=>{\"use strict\";J();ne();ae();Fl=e=>Array.from(e.getBigInt64Array(),Number),ng=e=>{if(!e||e.length!==2)throw new Error(\"Tile requires 2 inputs.\");if(e[0].dataType!==1&&e[0].dataType!==10&&e[0].dataType!==6&&e[0].dataType!==12)throw new Error(\"Tile only support float, float16, int32, 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rn,Xl=U(()=>{\"use strict\";Le();et();ae();rn=class{constructor(t){this.backend=t;this.repo=new Map,this.attributesBound=!1}getArtifact(t){return this.repo.get(t)}setArtifact(t,r){this.repo.set(t,r)}run(t,r,n,o,i){Ne(t.programInfo.name);let a=this.backend.device,d=this.backend.getComputePassEncoder();this.backend.writeTimestamp(this.backend.pendingDispatchNumber*2);let l=[];for(let m of r)l.push({binding:l.length,resource:{buffer:m.buffer}});for(let m of n)l.push({binding:l.length,resource:{buffer:m.buffer}});i&&l.push({binding:l.length,resource:i});let p=a.createBindGroup({layout:t.computePipeline.getBindGroupLayout(0),entries:l,label:t.programInfo.name});if(this.backend.sessionStatus===\"capturing\"){let 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a=rs(r,this.backend.device.limits),d=t.getShaderSource(a),l=`${o.join(`\n`)}\n${a.additionalImplementations}\n${d}`,p=n.createShaderModule({code:l,label:t.name});se(\"verbose\",()=>`[WebGPU] ${t.name} shader code: ${l}`);let m=n.createComputePipeline({compute:{module:p,entryPoint:\"main\"},layout:\"auto\",label:t.name});return Be(t.name),{programInfo:t,computePipeline:m,uniformVariablesInfo:a.variablesInfo}}normalizeDispatchGroupSize(t){let r=typeof t==\"number\"?t:t.x,n=typeof t==\"number\"?1:t.y||1,o=typeof t==\"number\"?1:t.z||1,i=this.backend.device.limits.maxComputeWorkgroupsPerDimension;if(r<=i&&n<=i&&o<=i)return[r,n,o];let a=r*n*o,d=Math.ceil(Math.sqrt(a));if(d>i){if(d=Math.ceil(Math.cbrt(a)),d>i)throw new Error(\"Total dispatch size exceeds WebGPU maximum.\");return[d,d,d]}else return[d,d,1]}}});var ug,dg,Io,Co,nn,Jl=U(()=>{\"use strict\";Le();J();et();Xn();Xa();Ql();Xl();ug=(e,t)=>{if(t.length!==e.length)throw new Error(`inputDependencies length ${t.length} is not equal to inputTensors length ${e.length}.`);let r=[];for(let n=0;n<e.length;++n){let o=e[n].dataType;switch(t[n]){case\"none\":{r.push(\"\");break}case\"type\":{r.push(`${o}`);break}case\"rank\":{let i=e[n].dims.length;r.push(`${o};${i}`);break}case\"dims\":{let i=e[n].dims.join(\",\");r.push(`${o};${i}`);break}default:throw new Error(`unsupported input dependency: ${t[n]}`)}}return r.join(\"|\")},dg=(e,t,r)=>{let n=e.name;return e.shaderCache?.hint&&(n+=\"[\"+e.shaderCache.hint+\"]\"),n+=\":\"+r+`:${ug(t,e.shaderCache?.inputDependencies??new Array(t.length).fill(\"dims\"))}`,n},Io=class{constructor(t){t&&(this.architecture=t.architecture,this.vendor=t.vendor)}isArchitecture(t){return this.architecture===t}isVendor(t){return this.vendor===t}},Co=class{constructor(t){this.subgroupsSupported=t.features.has(\"subgroups\"),this.subgroupsF16Supported=t.features.has(\"subgroups\");let r=t.limits;!this.subgroupsSupported||!r.minSubgroupSize||!r.maxSubgroupSize?this.subgroupSizeRange=void 0:this.subgroupSizeRange=[r.minSubgroupSize,r.maxSubgroupSize]}},nn=class{constructor(){this.currentSessionId=null;this.currentKernelId=null;this.commandEncoder=null;this.computePassEncoder=null;this.maxDispatchNumber=16;this.pendingDispatchNumber=0;this.pendingKernels=[];this.pendingQueries=new Map;this.sessionStatus=\"default\";this.capturedCommandList=new Map;this.capturedPendingKernels=new Map;this.sessionExternalDataMapping=new Map}get currentKernelCustomData(){if(this.currentKernelId===null)throw new Error(\"currentKernelCustomData(): currentKernelId is null. (should not happen)\");let t=this.kernelCustomData.get(this.currentKernelId);return t||(t={},this.kernelCustomData.set(this.currentKernelId,t)),t}async initialize(t,r){this.env=t;let n=[],o={requiredLimits:{maxComputeWorkgroupStorageSize:r.limits.maxComputeWorkgroupStorageSize,maxComputeWorkgroupsPerDimension:r.limits.maxComputeWorkgroupsPerDimension,maxStorageBufferBindingSize:r.limits.maxStorageBufferBindingSize,maxBufferSize:r.limits.maxBufferSize,maxComputeInvocationsPerWorkgroup:r.limits.maxComputeInvocationsPerWorkgroup,maxComputeWorkgroupSizeX:r.limits.maxComputeWorkgroupSizeX,maxComputeWorkgroupSizeY:r.limits.maxComputeWorkgroupSizeY,maxComputeWorkgroupSizeZ:r.limits.maxComputeWorkgroupSizeZ},requiredFeatures:n},i=a=>r.features.has(a)&&n.push(a)&&!0;i(\"chromium-experimental-timestamp-query-inside-passes\")||i(\"timestamp-query\"),i(\"shader-f16\"),i(\"subgroups\")&&i(\"subgroups-f16\"),this.device=await r.requestDevice(o),this.deviceInfo=new Co(this.device),this.adapterInfo=new Io(r.info||await r.requestAdapterInfo()),this.gpuDataManager=Qa(this),this.programManager=new rn(this),this.kernels=new Map,this.kernelPersistentData=new Map,this.kernelCustomData=new Map,Mr(t.logLevel,!!t.debug),this.device.onuncapturederror=a=>{a.error instanceof GPUValidationError&&console.error(`An uncaught WebGPU validation error was raised: ${a.error.message}`)},Object.defineProperty(this.env.webgpu,\"device\",{value:this.device,writable:!1,enumerable:!0,configurable:!1}),Object.defineProperty(this.env.webgpu,\"adapter\",{value:r,writable:!1,enumerable:!0,configurable:!1}),this.setQueryType()}dispose(){typeof this.querySet<\"u\"&&this.querySet.destroy(),this.gpuDataManager.dispose()}getCommandEncoder(){return this.commandEncoder||(this.commandEncoder=this.device.createCommandEncoder()),this.commandEncoder}getComputePassEncoder(){if(!this.computePassEncoder){let t=this.getCommandEncoder(),r={};this.queryType===\"at-passes\"&&(r.timestampWrites={querySet:this.querySet,beginningOfPassWriteIndex:this.pendingDispatchNumber*2,endOfPassWriteIndex:this.pendingDispatchNumber*2+1}),this.computePassEncoder=t.beginComputePass(r)}return this.computePassEncoder}endComputePass(){this.computePassEncoder&&(this.computePassEncoder.end(),this.computePassEncoder=null)}flush(){if(!this.commandEncoder)return;Ne(),this.endComputePass();let t;this.queryType!==\"none\"&&(this.commandEncoder.resolveQuerySet(this.querySet,0,this.pendingDispatchNumber*2,this.queryResolveBuffer,0),t=this.device.createBuffer({size:this.pendingDispatchNumber*2*8,usage:GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST}),this.pendingQueries.set(t,this.pendingKernels),this.pendingKernels=[],this.commandEncoder.copyBufferToBuffer(this.queryResolveBuffer,0,t,0,this.pendingDispatchNumber*2*8)),this.device.queue.submit([this.commandEncoder.finish()]),this.gpuDataManager.refreshPendingBuffers(),this.commandEncoder=null,this.pendingDispatchNumber=0,this.queryType!==\"none\"&&t.mapAsync(GPUMapMode.READ).then(()=>{let r=new BigUint64Array(t.getMappedRange()),n=this.pendingQueries.get(t);for(let o=0;o<r.length/2;o++){let i=n[o],a=i.kernelId,d=this.kernels.get(a),l=d.kernelType,p=d.kernelName,m=i.programName,u=i.inputTensorViews,h=i.outputTensorViews,_=r[o*2],y=r[o*2+1];typeof this.queryTimeBase>\"u\"&&(this.queryTimeBase=_);let g=Number(_-this.queryTimeBase),x=Number(y-this.queryTimeBase);if(!Number.isSafeInteger(g)||!Number.isSafeInteger(x))throw new RangeError(\"incorrect timestamp range\");if(this.env.webgpu.profiling?.ondata)this.env.webgpu.profiling.ondata({version:1,inputsMetadata:u.map($=>({dims:$.dims,dataType:bt($.dataType)})),outputsMetadata:h.map($=>({dims:$.dims,dataType:bt($.dataType)})),kernelId:a,kernelType:l,kernelName:p,programName:m,startTime:g,endTime:x});else{let $=\"\";u.forEach((S,T)=>{$+=`input[${T}]: [${S.dims}] | ${bt(S.dataType)}, `});let v=\"\";h.forEach((S,T)=>{v+=`output[${T}]: [${S.dims}] | ${bt(S.dataType)}, `}),console.log(`[profiling] kernel \"${a}|${l}|${p}|${m}\" ${$}${v}execution time: ${x-g} ns`)}_r(\"GPU\",`${m}::${_}::${y}`)}t.unmap(),this.pendingQueries.delete(t)}),Be()}run(t,r,n,o,i,a){Ne(t.name);let d=[];for(let S=0;S<r.length;++S){let T=r[S].data;if(T===0)continue;let A=this.gpuDataManager.get(T);if(!A)throw new Error(`no GPU data for input: ${T}`);d.push(A)}let{outputs:l,dispatchGroup:p,programUniforms:m}=t.getRunData(r),u=n.length===0?l.map((S,T)=>T):n;if(u.length!==l.length)throw new Error(`Output size ${u.length} must be equal to ${l.length}.`);let h=[],_=[];for(let S=0;S<l.length;++S){if(!Number.isInteger(u[S])||u[S]<-3||u[S]>=a)throw new Error(`Invalid output index: ${u[S]}`);if(u[S]===-3)continue;let T=u[S]===-1,A=u[S]===-2,C=T||A?i(l[S].dataType,l[S].dims):o(u[S],l[S].dataType,l[S].dims);if(h.push(C),C.data===0)continue;let P=this.gpuDataManager.get(C.data);if(!P)throw new Error(`no GPU data for output: ${C.data}`);if(T&&this.temporaryData.push(P),A){let D=this.kernelPersistentData.get(this.currentKernelId);D||(D=[],this.kernelPersistentData.set(this.currentKernelId,D)),D.push(P)}_.push(P)}if(d.length!==r.length||_.length!==h.length){if(_.length===0)return Be(t.name),h;throw new Error(`Program ${t.name} has zero-sized tensor(s) in inputs or outputs. This is not supported now.`)}let y;if(m){let S=0,T=[];m.forEach(D=>{let R=typeof D.data==\"number\"?[D.data]:D.data;if(R.length===0)return;let H=D.type===10?2:4,L,re;D.type===10?(re=R.length>4?16:R.length>2?8:R.length*H,L=R.length>4?16:H*R.length):(re=R.length<=2?R.length*H:16,L=16),S=Math.ceil(S/re)*re,T.push(S);let V=D.type===10?8:4;S+=R.length>4?Math.ceil(R.length/V)*L:R.length*H});let A=16;S=Math.ceil(S/A)*A;let C=new ArrayBuffer(S);m.forEach((D,R)=>{let H=T[R],L=typeof D.data==\"number\"?[D.data]:D.data;if(D.type===6)new Int32Array(C,H,L.length).set(L);else if(D.type===12)new Uint32Array(C,H,L.length).set(L);else if(D.type===10)new Uint16Array(C,H,L.length).set(L);else if(D.type===1)new Float32Array(C,H,L.length).set(L);else throw new Error(`Unsupported uniform type: ${bt(D.type)}`)});let P=this.gpuDataManager.create(S,GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM);this.device.queue.writeBuffer(P.buffer,0,C,0,S),this.gpuDataManager.release(P.id),y={offset:0,size:S,buffer:P.buffer}}let g=this.programManager.normalizeDispatchGroupSize(p),x=g[1]===1&&g[2]===1,$=dg(t,r,x),v=this.programManager.getArtifact($);if(v||(v=this.programManager.build(t,g),this.programManager.setArtifact($,v),se(\"info\",()=>`[artifact] key: ${$}, programName: ${t.name}`)),m&&v.uniformVariablesInfo){if(m.length!==v.uniformVariablesInfo.length)throw new Error(`Uniform variables count mismatch: expect ${v.uniformVariablesInfo.length}, got ${m.length} in program \"${v.programInfo.name}\".`);for(let S=0;S<m.length;S++){let T=m[S],A=T.type,C=typeof T.data==\"number\"?1:T.data.length,[P,D]=v.uniformVariablesInfo[S];if(A!==P||C!==D)throw new Error(`Uniform variable ${S} mismatch: expect type ${P} with size ${D}, got type ${A} with size ${C} in program \"${v.programInfo.name}\".`)}}if(se(\"info\",()=>`[ProgramManager] run \"${t.name}\" (key=${$}) with ${g[0]}x${g[1]}x${g[2]}`),this.queryType!==\"none\"||this.sessionStatus===\"capturing\"){let S={kernelId:this.currentKernelId,programName:v.programInfo.name,inputTensorViews:r,outputTensorViews:h};this.pendingKernels.push(S),this.sessionStatus===\"capturing\"&&this.capturedPendingKernels.get(this.currentSessionId).push(S)}return this.programManager.run(v,d,_,g,y),Be(t.name),h}upload(t,r){this.gpuDataManager.upload(t,r)}memcpy(t,r){this.gpuDataManager.memcpy(t,r)}async download(t,r){await this.gpuDataManager.download(t,r)}alloc(t){return this.gpuDataManager.create(t).id}free(t){return this.gpuDataManager.release(t)}createKernel(t,r,n,o){let i=Zl.get(t);if(!i)throw new Error(`kernel not implemented: ${t}`);let a={kernelType:t,kernelName:o,kernelEntry:i[0],attributes:[i[1],n]};this.kernels.set(r,a)}releaseKernel(t){let r=this.kernelPersistentData.get(t);if(r){for(let n of r)this.gpuDataManager.release(n.id);this.kernelPersistentData.delete(t)}this.kernelCustomData.delete(t),this.kernels.delete(t)}computeKernel(t,r,n){let o=this.kernels.get(t);if(!o)throw new Error(`kernel not created: ${t}`);let i=o.kernelType,a=o.kernelName,d=o.kernelEntry,l=o.attributes;if(this.currentKernelId!==null)throw new Error(`kernel \"[${i}] ${a}\" is not allowed to be called recursively`);this.currentKernelId=t,l[0]&&(l[1]=l[0](l[1]),l[0]=void 0),se(\"info\",()=>`[WebGPU] Start to run kernel \"[${i}] ${a}\"...`);let p=this.env.debug;this.temporaryData=[];try{return p&&this.device.pushErrorScope(\"validation\"),d(r,l[1]),0}catch(m){return n.push(Promise.resolve(`[WebGPU] Kernel \"[${i}] ${a}\" failed. ${m}`)),1}finally{p&&n.push(this.device.popErrorScope().then(m=>m?`GPU validation error for kernel \"[${i}] ${a}\": ${m.message}`:null));for(let m of this.temporaryData)this.gpuDataManager.release(m.id);this.temporaryData=[],this.currentKernelId=null}}registerBuffer(t,r,n,o){let i=this.sessionExternalDataMapping.get(t);i||(i=new Map,this.sessionExternalDataMapping.set(t,i));let a=i.get(r),d=this.gpuDataManager.registerExternalBuffer(n,o,a);return i.set(r,[d,n]),d}unregisterBuffers(t){let r=this.sessionExternalDataMapping.get(t);r&&(r.forEach(n=>this.gpuDataManager.unregisterExternalBuffer(n[0])),this.sessionExternalDataMapping.delete(t))}getBuffer(t){let r=this.gpuDataManager.get(t);if(!r)throw new Error(`no GPU data for buffer: ${t}`);return r.buffer}createDownloader(t,r,n){return async()=>{let o=await ro(this,t,r);return Rr(o.buffer,n)}}writeTimestamp(t){this.queryType===\"inside-passes\"&&this.computePassEncoder.writeTimestamp(this.querySet,t)}setQueryType(){this.queryType=\"none\",(this.env.webgpu.profiling?.mode===\"default\"||(typeof this.env.trace>\"u\"?this.env.wasm.trace:this.env.trace))&&(this.device.features.has(\"chromium-experimental-timestamp-query-inside-passes\")?this.queryType=\"inside-passes\":this.device.features.has(\"timestamp-query\")&&(this.queryType=\"at-passes\"),this.queryType!==\"none\"&&typeof this.querySet>\"u\"&&(this.querySet=this.device.createQuerySet({type:\"timestamp\",count:this.maxDispatchNumber*2}),this.queryResolveBuffer=this.device.createBuffer({size:this.maxDispatchNumber*2*8,usage:GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE})))}captureBegin(){se(\"info\",\"captureBegin\"),this.capturedCommandList.get(this.currentSessionId)||this.capturedCommandList.set(this.currentSessionId,[]),this.capturedPendingKernels.get(this.currentSessionId)||this.capturedPendingKernels.set(this.currentSessionId,[]),this.flush(),this.sessionStatus=\"capturing\"}captureEnd(){se(\"info\",\"captureEnd\"),this.flush(),this.sessionStatus=\"default\"}replay(){se(\"info\",\"replay\"),this.sessionStatus=\"replaying\";let t=this.capturedCommandList.get(this.currentSessionId),r=this.capturedPendingKernels.get(this.currentSessionId),n=t.length;this.pendingKernels=[];for(let o=0;o<n;o++){let i=this.getComputePassEncoder(),a=t[o];this.writeTimestamp(this.pendingDispatchNumber*2),i.setPipeline(a.computePipeline),i.setBindGroup(0,a.bindGroup),i.dispatchWorkgroups(...a.dispatchGroup),this.writeTimestamp(this.pendingDispatchNumber*2+1),this.pendingDispatchNumber++,this.queryType!==\"none\"&&this.pendingKernels.push(r[o]),(this.pendingDispatchNumber>=this.maxDispatchNumber||this.queryType===\"at-passes\")&&this.endComputePass(),this.pendingDispatchNumber>=this.maxDispatchNumber&&this.flush()}this.flush(),this.sessionStatus=\"default\"}onCreateSession(){this.gpuDataManager.onCreateSession()}onReleaseSession(t){this.unregisterBuffers(t),this.capturedCommandList.has(t)&&this.capturedCommandList.delete(t),this.capturedPendingKernels.has(t)&&this.capturedPendingKernels.delete(t),this.gpuDataManager.onReleaseSession(t)}onRunStart(t){this.currentSessionId=t,this.setQueryType()}}});var lg,ec,cg,tc,on,an,Ao,rc,nc=U(()=>{\"use strict\";et();lg=1,ec=()=>lg++,cg=new Map([[\"float32\",32],[\"float16\",16],[\"int32\",32],[\"uint32\",32],[\"int64\",64],[\"uint64\",64],[\"int8\",8],[\"uint8\",8],[\"int4\",4],[\"uint4\",4]]),tc=(e,t)=>{let r=cg.get(e);if(!r)throw new Error(\"Unsupported data type.\");return t.length>0?Math.ceil(t.reduce((n,o)=>n*o)*r/8):0},on=class{constructor(t){this.sessionId=t.sessionId,this.mlContext=t.context,this.mlTensor=t.tensor,this.dataType=t.dataType,this.tensorShape=t.shape}get tensor(){return this.mlTensor}get type(){return this.dataType}get shape(){return this.tensorShape}get byteLength(){return tc(this.dataType,this.tensorShape)}destroy(){se(\"verbose\",()=>\"[WebNN] TensorWrapper.destroy\"),this.mlTensor.destroy()}write(t){this.mlContext.writeTensor(this.mlTensor,t)}async read(t){return t?this.mlContext.readTensor(this.mlTensor,t):this.mlContext.readTensor(this.mlTensor)}canReuseTensor(t,r,n){return this.mlContext===t&&this.dataType===r&&this.tensorShape.length===n.length&&this.tensorShape.every((o,i)=>o===n[i])}},an=class{constructor(t,r){this.tensorManager=t;this.wrapper=r}get tensorWrapper(){return this.wrapper}releaseTensor(){this.tensorWrapper&&(this.tensorManager.releaseTensor(this.tensorWrapper),this.wrapper=void 0)}async ensureTensor(t,r,n,o){if(this.wrapper){if(this.wrapper.canReuseTensor(t,r,n))return this.wrapper.tensor;if(o){if(this.wrapper.byteLength!==tc(r,n))throw new Error(\"Unable to copy data to tensor with different size.\");this.activeUpload=new Uint8Array(await this.wrapper.read())}this.tensorManager.releaseTensor(this.wrapper)}let i=typeof MLTensorUsage>\"u\"?void 0:MLTensorUsage.READ|MLTensorUsage.WRITE;return this.wrapper=await this.tensorManager.getCachedTensor(r,n,i,!0,!0),o&&this.activeUpload&&(this.wrapper.write(this.activeUpload),this.activeUpload=void 0),this.wrapper.tensor}upload(t){if(this.wrapper)if(t.byteLength===this.wrapper.byteLength){this.wrapper.write(t);return}else se(\"verbose\",()=>\"Data size does not match tensor size. Releasing tensor.\"),this.releaseTensor();this.activeUpload?this.activeUpload.set(t):this.activeUpload=new Uint8Array(t)}async download(t){if(this.activeUpload)if(t){t instanceof ArrayBuffer?new Uint8Array(t).set(this.activeUpload):new Uint8Array(t.buffer,t.byteOffset,t.byteLength).set(this.activeUpload);return}else return this.activeUpload.buffer;if(!this.wrapper)throw new Error(\"Tensor has not been created.\");return t?this.wrapper.read(t):this.wrapper.read()}},Ao=class{constructor(t){this.backend=t;this.tensorTrackersById=new Map;this.freeTensors=[];this.externalTensors=new Set}reserveTensorId(){let t=ec();return this.tensorTrackersById.set(t,new an(this)),t}releaseTensorId(t){let r=this.tensorTrackersById.get(t);r&&(this.tensorTrackersById.delete(t),r.tensorWrapper&&this.releaseTensor(r.tensorWrapper))}async ensureTensor(t,r,n,o){se(\"verbose\",()=>`[WebNN] TensorManager.ensureTensor {tensorId: ${t}, dataType: ${r}, shape: ${n}, copyOld: ${o}}`);let i=this.tensorTrackersById.get(t);if(!i)throw new Error(\"Tensor not found.\");return i.ensureTensor(this.backend.currentContext,r,n,o)}upload(t,r){let n=this.tensorTrackersById.get(t);if(!n)throw new Error(\"Tensor not found.\");n.upload(r)}async download(t,r){se(\"verbose\",()=>`[WebNN] TensorManager.download {tensorId: ${t}, dstBuffer: ${r?.byteLength}}`);let n=this.tensorTrackersById.get(t);if(!n)throw new Error(\"Tensor not found.\");return n.download(r)}releaseTensorsForSession(t){for(let r of this.freeTensors)r.sessionId===t&&r.destroy();this.freeTensors=this.freeTensors.filter(r=>r.sessionId!==t)}registerTensor(t,r,n,o){let i=ec(),a=new on({sessionId:this.backend.currentSessionId,context:t,tensor:r,dataType:n,shape:o});return this.tensorTrackersById.set(i,new an(this,a)),this.externalTensors.add(a),i}async getCachedTensor(t,r,n,o,i){let a=this.backend.currentSessionId,d=this.backend.currentContext;for(let[p,m]of this.freeTensors.entries())if(m.canReuseTensor(d,t,r)){se(\"verbose\",()=>`[WebNN] Reusing tensor {dataType: ${t}, shape: ${r}}`);let u=this.freeTensors.splice(p,1)[0];return u.sessionId=a,u}se(\"verbose\",()=>`[WebNN] MLContext.createTensor {dataType: ${t}, shape: ${r}}`);let l=await d.createTensor({dataType:t,shape:r,dimensions:r,usage:n,writable:o,readable:i});return new on({sessionId:a,context:d,tensor:l,dataType:t,shape:r})}releaseTensor(t){this.externalTensors.has(t)&&this.externalTensors.delete(t),this.freeTensors.push(t)}},rc=(...e)=>new Ao(...e)});var oc,pg,sn,ic=U(()=>{\"use strict\";J();gt();Xn();nc();et();oc=new Map([[1,\"float32\"],[10,\"float16\"],[6,\"int32\"],[12,\"uint32\"],[7,\"int64\"],[13,\"uint64\"],[22,\"int4\"],[21,\"uint4\"],[3,\"int8\"],[2,\"uint8\"],[9,\"uint8\"]]),pg=(e,t)=>{if(e===t)return!0;if(e===void 0||t===void 0)return!1;let r=Object.keys(e).sort(),n=Object.keys(t).sort();return r.length===n.length&&r.every((o,i)=>o===n[i]&&e[o]===t[o])},sn=class{constructor(t){this.tensorManager=rc(this);this.mlContextBySessionId=new Map;this.sessionIdsByMLContext=new Map;this.mlContextCache=[];Mr(t.logLevel,!!t.debug)}get currentSessionId(){if(this.activeSessionId===void 0)throw new Error(\"No active session\");return this.activeSessionId}onRunStart(t){this.activeSessionId=t}async createMLContext(t){if(t instanceof GPUDevice){let n=this.mlContextCache.findIndex(o=>o.gpuDevice===t);if(n!==-1)return this.mlContextCache[n].mlContext;{let o=await navigator.ml.createContext(t);return this.mlContextCache.push({gpuDevice:t,mlContext:o}),o}}else if(t===void 0){let n=this.mlContextCache.findIndex(o=>o.options===void 0&&o.gpuDevice===void 0);if(n!==-1)return this.mlContextCache[n].mlContext;{let o=await navigator.ml.createContext();return this.mlContextCache.push({mlContext:o}),o}}let r=this.mlContextCache.findIndex(n=>pg(n.options,t));if(r!==-1)return this.mlContextCache[r].mlContext;{let n=await navigator.ml.createContext(t);return this.mlContextCache.push({options:t,mlContext:n}),n}}get currentContext(){let t=this.getMLContext(this.currentSessionId);if(!t)throw new Error(`No MLContext found for session ${this.currentSessionId}`);return t}registerMLContext(t,r){this.mlContextBySessionId.set(t,r);let n=this.sessionIdsByMLContext.get(r);n||(n=new Set,this.sessionIdsByMLContext.set(r,n)),n.add(t)}onReleaseSession(t){let r=this.mlContextBySessionId.get(t);if(!r)return;this.tensorManager.releaseTensorsForSession(t),this.mlContextBySessionId.delete(t);let n=this.sessionIdsByMLContext.get(r);if(n.delete(t),n.size===0){this.sessionIdsByMLContext.delete(r);let o=this.mlContextCache.findIndex(i=>i.mlContext===r);o!==-1&&this.mlContextCache.splice(o,1)}}getMLContext(t){return this.mlContextBySessionId.get(t)}reserveTensorId(){return this.tensorManager.reserveTensorId()}releaseTensorId(t){se(\"verbose\",()=>`[WebNN] releaseTensorId {tensorId: ${t}}`),this.tensorManager.releaseTensorId(t)}async ensureTensor(t,r,n,o){let i=oc.get(r);if(!i)throw new Error(`Unsupported ONNX data type: ${r}`);return this.tensorManager.ensureTensor(t,i,n,o)}uploadTensor(t,r){if(!Te().shouldTransferToMLTensor)throw new Error(\"Trying to upload to a MLTensor while shouldTransferToMLTensor is false\");se(\"verbose\",()=>`[WebNN] uploadTensor {tensorId: ${t}, data: ${r.byteLength}}`),this.tensorManager.upload(t,r)}async downloadTensor(t,r){return this.tensorManager.download(t,r)}createMLTensorDownloader(t,r){return async()=>{let n=await this.tensorManager.download(t);return Rr(n,r)}}registerMLTensor(t,r,n){let o=oc.get(r);if(!o)throw new Error(`Unsupported ONNX data type: ${r}`);let i=this.tensorManager.registerTensor(this.currentContext,t,o,n);return se(\"verbose\",()=>`[WebNN] registerMLTensor {tensor: ${t}, dataType: ${o}, dimensions: ${n}} -> {tensorId: ${i}}`),i}registerMLConstant(t,r,n,o,i,a){if(!a)throw new Error(\"External mounted files are 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e=>Ot()?(Lt(),new Promise((t,r)=>{Wt(\"copy-from\",[t,r]);let n={type:\"copy-from\",in:{buffer:e}};Ge.postMessage(n,[e.buffer])})):qt(e),pc=async(e,t)=>{if(Ot()){if(t?.preferredOutputLocation)throw new Error('session option \"preferredOutputLocation\" is not supported for proxy.');return Lt(),new Promise((r,n)=>{Wt(\"create\",[r,n]);let o={type:\"create\",in:{model:e,options:{...t}}},i=[];e instanceof Uint8Array&&i.push(e.buffer),Ge.postMessage(o,i)})}else return Ir(e,t)},mc=async e=>{if(Ot())return Lt(),new Promise((t,r)=>{Wt(\"release\",[t,r]);let n={type:\"release\",in:e};Ge.postMessage(n)});Cr(e)},fc=async(e,t,r,n,o,i)=>{if(Ot()){if(r.some(a=>a[3]!==\"cpu\"))throw new Error(\"input tensor on GPU is not supported for proxy.\");if(o.some(a=>a))throw new Error(\"pre-allocated output tensor is not supported for proxy.\");return Lt(),new Promise((a,d)=>{Wt(\"run\",[a,d]);let l=r,p={type:\"run\",in:{sessionId:e,inputIndices:t,inputs:l,outputIndices:n,options:i}};Ge.postMessage(p,Er(l))})}else return Ar(e,t,r,n,o,i)},hc=async e=>{if(Ot())return Lt(),new Promise((t,r)=>{Wt(\"end-profiling\",[t,r]);let n={type:\"end-profiling\",in:e};Ge.postMessage(n)});kr(e)}});var gc,yg,cn,bc=U(()=>{\"use strict\";Le();zo();J();vr();Qn();gc=(e,t)=>{switch(e.location){case\"cpu\":return[e.type,e.dims,e.data,\"cpu\"];case\"gpu-buffer\":return[e.type,e.dims,{gpuBuffer:e.gpuBuffer},\"gpu-buffer\"];case\"ml-tensor\":return[e.type,e.dims,{mlTensor:e.mlTensor},\"ml-tensor\"];default:throw new Error(`invalid data location: ${e.location} for ${t()}`)}},yg=e=>{switch(e[3]){case\"cpu\":return new Fe(e[0],e[2],e[1]);case\"gpu-buffer\":{let t=e[0];if(!Dr(t))throw new Error(`not supported data type: ${t} for deserializing GPU tensor`);let{gpuBuffer:r,download:n,dispose:o}=e[2];return Fe.fromGpuBuffer(r,{dataType:t,dims:e[1],download:n,dispose:o})}case\"ml-tensor\":{let t=e[0];if(!Br(t))throw new Error(`not supported data type: ${t} for deserializing MLTensor tensor`);let{mlTensor:r,download:n,dispose:o}=e[2];return Fe.fromMLTensor(r,{dataType:t,dims:e[1],download:n,dispose:o})}default:throw new Error(`invalid data location: ${e[3]}`)}},cn=class{async fetchModelAndCopyToWasmMemory(t){return cc(await Zt(t))}async loadModel(t,r){Ne();let n;typeof t==\"string\"?!1?n=await Zt(t):n=await this.fetchModelAndCopyToWasmMemory(t):n=t,[this.sessionId,this.inputNames,this.outputNames]=await pc(n,r),Be()}async dispose(){return mc(this.sessionId)}async run(t,r,n){Ne();let o=[],i=[];Object.entries(t).forEach(h=>{let _=h[0],y=h[1],g=this.inputNames.indexOf(_);if(g===-1)throw new Error(`invalid input '${_}'`);o.push(y),i.push(g)});let a=[],d=[];Object.entries(r).forEach(h=>{let _=h[0],y=h[1],g=this.outputNames.indexOf(_);if(g===-1)throw new Error(`invalid output '${_}'`);a.push(y),d.push(g)});let l=o.map((h,_)=>gc(h,()=>`input \"${this.inputNames[i[_]]}\"`)),p=a.map((h,_)=>h?gc(h,()=>`output \"${this.outputNames[d[_]]}\"`):null),m=await fc(this.sessionId,i,l,d,p,n),u={};for(let h=0;h<m.length;h++)u[this.outputNames[d[h]]]=a[h]??yg(m[h]);return Be(),u}startProfiling(){}endProfiling(){hc(this.sessionId)}}});var _c={};Ht(_c,{OnnxruntimeWebAssemblyBackend:()=>pn,initializeFlags:()=>yc,wasmBackend:()=>_g});var yc,pn,_g,wc=U(()=>{\"use strict\";Le();zo();bc();yc=()=>{if((typeof _e.wasm.initTimeout!=\"number\"||_e.wasm.initTimeout<0)&&(_e.wasm.initTimeout=0),_e.wasm.simd===!1&&console.warn('Deprecated property \"env.wasm.simd\" is set to false. non-SIMD build is no longer provided, and this setting will be ignored.'),typeof _e.wasm.proxy!=\"boolean\"&&(_e.wasm.proxy=!1),typeof _e.wasm.trace!=\"boolean\"&&(_e.wasm.trace=!1),typeof _e.wasm.numThreads!=\"number\"||!Number.isInteger(_e.wasm.numThreads)||_e.wasm.numThreads<=0)if(typeof self<\"u\"&&!self.crossOriginIsolated)_e.wasm.numThreads=1;else{let e=typeof navigator>\"u\"?Un(\"node:os\").cpus().length:navigator.hardwareConcurrency;_e.wasm.numThreads=Math.min(4,Math.ceil((e||1)/2))}},pn=class{async init(t){yc(),await dc(),await lc(t)}async createInferenceSessionHandler(t,r){let n=new cn;return await n.loadModel(t,r),Promise.resolve(n)}},_g=new pn});Le();Le();Le();var Ia=\"1.21.0-dev.20250206-d981b153d3\";var $1=Hn;{let e=(wc(),gr(_c)).wasmBackend;Tt(\"webgpu\",e,5),Tt(\"webnn\",e,5),Tt(\"cpu\",e,10),Tt(\"wasm\",e,10)}Object.defineProperty(_e.versions,\"web\",{value:Ia,enumerable:!0});export{Fp as InferenceSession,_r as TRACE,Ne as TRACE_FUNC_BEGIN,Be as TRACE_FUNC_END,Fe as Tensor,$1 as default,_e as env,Tt as registerBackend};\n/**\n * @license\n * Copyright 2021 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n//# sourceMappingURL=ort.bundle.min.mjs.map\n", "/**\n * @file Handler file for choosing the correct version of ONNX Runtime, based on the environment.\n * Ideally, we could import the `onnxruntime-web` and `onnxruntime-node` packages only when needed,\n * but dynamic imports don't seem to work with the current webpack version and/or configuration.\n * This is possibly due to the experimental nature of top-level await statements.\n * So, we just import both packages, and use the appropriate one based on the environment:\n * - When running in node, we use `onnxruntime-node`.\n * - When running in the browser, we use `onnxruntime-web` (`onnxruntime-node` is not bundled).\n * \n * This module is not directly exported, but can be accessed through the environment variables:\n * ```javascript\n * import { env } from '@huggingface/transformers';\n * console.log(env.backends.onnx);\n * ```\n * \n * @module backends/onnx\n */\n\nimport { env, apis } from '../env.js';\n\n// NOTE: Import order matters here. We need to import `onnxruntime-node` before `onnxruntime-web`.\n// In either case, we select the default export if it exists, otherwise we use the named export.\nimport * as ONNX_NODE from 'onnxruntime-node';\nimport * as ONNX_WEB from 'onnxruntime-web';\n\nexport { Tensor } from 'onnxruntime-common';\n\n/**\n * @typedef {import('onnxruntime-common').InferenceSession.ExecutionProviderConfig} ONNXExecutionProviders\n */\n\n/** @type {Record<import(\"../utils/devices.js\").DeviceType, ONNXExecutionProviders>} */\nconst DEVICE_TO_EXECUTION_PROVIDER_MAPPING = Object.freeze({\n auto: null, // Auto-detect based on device and environment\n gpu: null, // Auto-detect GPU\n cpu: 'cpu', // CPU\n wasm: 'wasm', // WebAssembly\n webgpu: 'webgpu', // WebGPU\n cuda: 'cuda', // CUDA\n dml: 'dml', // DirectML\n\n webnn: { name: 'webnn', deviceType: 'cpu' }, // WebNN (default)\n 'webnn-npu': { name: 'webnn', deviceType: 'npu' }, // WebNN NPU\n 'webnn-gpu': { name: 'webnn', deviceType: 'gpu' }, // WebNN GPU\n 'webnn-cpu': { name: 'webnn', deviceType: 'cpu' }, // WebNN CPU\n});\n\n/** \n * The list of supported devices, sorted by priority/performance.\n * @type {import(\"../utils/devices.js\").DeviceType[]}\n */\nconst supportedDevices = [];\n\n/** @type {ONNXExecutionProviders[]} */\nlet defaultDevices;\nlet ONNX;\nconst ORT_SYMBOL = Symbol.for('onnxruntime');\n\nif (ORT_SYMBOL in globalThis) {\n // If the JS runtime exposes their own ONNX runtime, use it\n ONNX = globalThis[ORT_SYMBOL];\n\n} else if (apis.IS_NODE_ENV) {\n ONNX = ONNX_NODE.default ?? ONNX_NODE;\n\n // Updated as of ONNX Runtime 1.20.1\n // The following table lists the supported versions of ONNX Runtime Node.js binding provided with pre-built binaries.\n // | EPs/Platforms | Windows x64 | Windows arm64 | Linux x64 | Linux arm64 | MacOS x64 | MacOS arm64 |\n // | ------------- | ----------- | ------------- | ----------------- | ----------- | --------- | ----------- |\n // | CPU | âœ”ï¸ | âœ”ï¸ | âœ”ï¸ | âœ”ï¸ | âœ”ï¸ | âœ”ï¸ |\n // | DirectML | âœ”ï¸ | âœ”ï¸ | ⌠| ⌠| ⌠| ⌠|\n // | CUDA | ⌠| ⌠| âœ”ï¸ (CUDA v11.8) | ⌠| ⌠| ⌠|\n switch (process.platform) {\n case 'win32': // Windows x64 and Windows arm64\n supportedDevices.push('dml');\n break;\n case 'linux': // Linux x64 and Linux arm64\n if (process.arch === 'x64') {\n supportedDevices.push('cuda');\n }\n break;\n case 'darwin': // MacOS x64 and MacOS arm64\n break;\n }\n\n supportedDevices.push('cpu');\n defaultDevices = ['cpu'];\n} else {\n ONNX = ONNX_WEB;\n\n if (apis.IS_WEBNN_AVAILABLE) {\n // TODO: Only push supported providers (depending on available hardware)\n supportedDevices.push('webnn-npu', 'webnn-gpu', 'webnn-cpu', 'webnn');\n }\n\n if (apis.IS_WEBGPU_AVAILABLE) {\n supportedDevices.push('webgpu');\n }\n\n supportedDevices.push('wasm');\n defaultDevices = ['wasm'];\n}\n\n// @ts-ignore\nconst InferenceSession = ONNX.InferenceSession;\n\n/**\n * Map a device to the execution providers to use for the given device.\n * @param {import(\"../utils/devices.js\").DeviceType|\"auto\"|null} [device=null] (Optional) The device to run the inference on.\n * @returns {ONNXExecutionProviders[]} The execution providers to use for the given device.\n */\nexport function deviceToExecutionProviders(device = null) {\n // Use the default execution providers if the user hasn't specified anything\n if (!device) return defaultDevices;\n\n // Handle overloaded cases\n switch (device) {\n case \"auto\":\n return supportedDevices;\n case \"gpu\":\n return supportedDevices.filter(x =>\n [\"webgpu\", \"cuda\", \"dml\", \"webnn-gpu\"].includes(x),\n );\n }\n\n if (supportedDevices.includes(device)) {\n return [DEVICE_TO_EXECUTION_PROVIDER_MAPPING[device] ?? device];\n }\n\n throw new Error(`Unsupported device: \"${device}\". Should be one of: ${supportedDevices.join(', ')}.`)\n}\n\n\n/**\n * To prevent multiple calls to `initWasm()`, we store the first call in a Promise\n * that is resolved when the first InferenceSession is created. Subsequent calls\n * will wait for this Promise to resolve before creating their own InferenceSession.\n * @type {Promise<any>|null}\n */\nlet wasmInitPromise = null;\n\n/**\n * Create an ONNX inference session.\n * @param {Uint8Array} buffer The ONNX model buffer.\n * @param {import('onnxruntime-common').InferenceSession.SessionOptions} session_options ONNX inference session options.\n * @param {Object} session_config ONNX inference session configuration.\n * @returns {Promise<import('onnxruntime-common').InferenceSession & { config: Object}>} The ONNX inference session.\n */\nexport async function createInferenceSession(buffer, session_options, session_config) {\n if (wasmInitPromise) {\n // A previous session has already initialized the WASM runtime\n // so we wait for it to resolve before creating this new session.\n await wasmInitPromise;\n }\n\n const sessionPromise = InferenceSession.create(buffer, session_options);\n wasmInitPromise ??= sessionPromise;\n const session = await sessionPromise;\n session.config = session_config;\n return session;\n}\n\n/**\n * Check if an object is an ONNX tensor.\n * @param {any} x The object to check\n * @returns {boolean} Whether the object is an ONNX tensor.\n */\nexport function isONNXTensor(x) {\n return x instanceof ONNX.Tensor;\n}\n\n/** @type {import('onnxruntime-common').Env} */\n// @ts-ignore\nconst ONNX_ENV = ONNX?.env;\nif (ONNX_ENV?.wasm) {\n // Initialize wasm backend with suitable default settings.\n\n // (Optional) Set path to wasm files. This is needed when running in a web worker.\n // https://onnxruntime.ai/docs/api/js/interfaces/Env.WebAssemblyFlags.html#wasmPaths\n // We use remote wasm files by default to make it easier for newer users.\n // In practice, users should probably self-host the necessary .wasm files.\n ONNX_ENV.wasm.wasmPaths = `https://cdn.jsdelivr.net/npm/@huggingface/transformers@${env.version}/dist/`;\n\n // TODO: Add support for loading WASM files from cached buffer when we upgrade to onnxruntime-web@1.19.0\n // https://github.com/microsoft/onnxruntime/pull/21534\n\n // Users may wish to proxy the WASM backend to prevent the UI from freezing,\n // However, this is not necessary when using WebGPU, so we default to false.\n ONNX_ENV.wasm.proxy = false;\n\n // https://developer.mozilla.org/en-US/docs/Web/API/crossOriginIsolated\n if (typeof crossOriginIsolated === 'undefined' || !crossOriginIsolated) {\n ONNX_ENV.wasm.numThreads = 1;\n }\n}\n\nif (ONNX_ENV?.webgpu) {\n ONNX_ENV.webgpu.powerPreference = 'high-performance';\n}\n\n/**\n * Check if ONNX's WASM backend is being proxied.\n * @returns {boolean} Whether ONNX's WASM backend is being proxied.\n */\nexport function isONNXProxy() {\n // TODO: Update this when allowing non-WASM backends.\n return ONNX_ENV?.wasm?.proxy;\n}\n\n// Expose ONNX environment variables to `env.backends.onnx`\nenv.backends.onnx = ONNX_ENV;\n", "import { FEATURE_EXTRACTOR_NAME } from \"../utils/constants.js\";\nimport { Callable } from \"../utils/generic.js\";\nimport { getModelJSON } from \"../utils/hub.js\";\n\n/**\n * Base class for feature extractors.\n */\nexport class FeatureExtractor extends Callable {\n /**\n * Constructs a new FeatureExtractor instance.\n *\n * @param {Object} config The configuration for the feature extractor.\n */\n constructor(config) {\n super();\n this.config = config\n }\n\n /**\n * Instantiate one of the feature extractor classes of the library from a pretrained model.\n * \n * The feature extractor class to instantiate is selected based on the `feature_extractor_type` property of\n * the config object (either passed as an argument or loaded from `pretrained_model_name_or_path` if possible)\n * \n * @param {string} pretrained_model_name_or_path The name or path of the pretrained model. Can be either:\n * - A string, the *model id* of a pretrained feature_extractor hosted inside a model repo on huggingface.co.\n * Valid model ids can be located at the root-level, like `bert-base-uncased`, or namespaced under a\n * user or organization name, like `dbmdz/bert-base-german-cased`.\n * - A path to a *directory* containing feature_extractor files, e.g., `./my_model_directory/`.\n * @param {import('../utils/hub.js').PretrainedOptions} options Additional options for loading the feature_extractor.\n * \n * @returns {Promise<FeatureExtractor>} A new instance of the Feature Extractor class.\n */\n static async from_pretrained(pretrained_model_name_or_path, options) {\n const config = await getModelJSON(pretrained_model_name_or_path, FEATURE_EXTRACTOR_NAME, true, options);\n return new this(config);\n }\n}\n\n\n/**\n * Helper function to validate audio inputs.\n * @param {any} audio The audio data.\n * @param {string} feature_extractor The name of the feature extractor.\n * @private\n */\nexport function validate_audio_inputs(audio, feature_extractor) {\n if (!(audio instanceof Float32Array || audio instanceof Float64Array)) {\n throw new Error(\n `${feature_extractor} expects input to be a Float32Array or a Float64Array, but got ${audio?.constructor?.name ?? typeof audio} instead. ` +\n `If using the feature extractor directly, remember to use \\`read_audio(url, sampling_rate)\\` to obtain the raw audio data of the file/url.`\n )\n }\n}\n", "import { Callable } from \"../utils/generic.js\";\nimport { Tensor, interpolate, stack } from \"../utils/tensor.js\";\nimport { bankers_round, max, min, softmax } from \"../utils/maths.js\";\nimport { RawImage } from \"../utils/image.js\";\nimport { calculateReflectOffset } from \"../utils/core.js\";\nimport { getModelJSON } from \"../utils/hub.js\";\nimport { IMAGE_PROCESSOR_NAME } from '../utils/constants.js';\n\n/**\n * Named tuple to indicate the order we are using is (height x width),\n * even though the Graphics' industry standard is (width x height).\n * @typedef {[height: number, width: number]} HeightWidth\n */\n\n\n/**\n * @typedef {object} ImageProcessorResult\n * @property {Tensor} pixel_values The pixel values of the batched preprocessed images.\n * @property {HeightWidth[]} original_sizes Array of two-dimensional tuples like [[480, 640]].\n * @property {HeightWidth[]} reshaped_input_sizes Array of two-dimensional tuples like [[1000, 1330]].\n */\n\n\n\n/**\n * Helper function to constrain a value to be a multiple of a number.\n * @param {number} val The value to constrain.\n * @param {number} multiple The number to constrain to.\n * @param {number} [minVal=0] The minimum value to constrain to.\n * @param {number} [maxVal=null] The maximum value to constrain to.\n * @returns {number} The constrained value.\n * @private\n */\nfunction constraint_to_multiple_of(val, multiple, minVal = 0, maxVal = null) {\n const a = val / multiple;\n let x = bankers_round(a) * multiple;\n\n if (maxVal !== null && x > maxVal) {\n x = Math.floor(a) * multiple;\n }\n\n if (x < minVal) {\n x = Math.ceil(a) * multiple;\n }\n\n return x;\n}\n\n/**\n * Rounds the height and width down to the closest multiple of size_divisibility\n * @param {[number, number]} size The size of the image\n * @param {number} divisor The divisor to use.\n * @returns {[number, number]} The rounded size.\n */\nfunction enforce_size_divisibility([width, height], divisor) {\n return [\n Math.max(Math.floor(width / divisor), 1) * divisor,\n Math.max(Math.floor(height / divisor), 1) * divisor\n ];\n}\n\n\n// Helper functions\n\n/**\n * Converts bounding boxes from center format to corners format.\n * \n * @param {number[]} arr The coordinate for the center of the box and its width, height dimensions (center_x, center_y, width, height)\n * @returns {number[]} The coodinates for the top-left and bottom-right corners of the box (top_left_x, top_left_y, bottom_right_x, bottom_right_y)\n */\nexport function center_to_corners_format([centerX, centerY, width, height]) {\n return [\n centerX - width / 2,\n centerY - height / 2,\n centerX + width / 2,\n centerY + height / 2\n ];\n}\n\n/**\n * Post-processes the outputs of the model (for object detection).\n * @param {Object} outputs The outputs of the model that must be post-processed\n * @param {Tensor} outputs.logits The logits\n * @param {Tensor} outputs.pred_boxes The predicted boxes.\n * @param {number} [threshold=0.5] The threshold to use for the scores.\n * @param {[number, number][]} [target_sizes=null] The sizes of the original images.\n * @param {boolean} [is_zero_shot=false] Whether zero-shot object detection was performed.\n * @return {Object[]} An array of objects containing the post-processed outputs.\n */\nexport function post_process_object_detection(outputs, threshold = 0.5, target_sizes = null, is_zero_shot = false) {\n const out_logits = outputs.logits;\n const out_bbox = outputs.pred_boxes;\n const [batch_size, num_boxes, num_classes] = out_logits.dims;\n\n if (target_sizes !== null && target_sizes.length !== batch_size) {\n throw Error(\"Make sure that you pass in as many target sizes as the batch dimension of the logits\")\n }\n let toReturn = [];\n for (let i = 0; i < batch_size; ++i) {\n let target_size = target_sizes !== null ? target_sizes[i] : null;\n let info = {\n boxes: [],\n classes: [],\n scores: []\n }\n let logits = out_logits[i];\n let bbox = out_bbox[i];\n\n for (let j = 0; j < num_boxes; ++j) {\n let logit = logits[j];\n\n let indices = [];\n let probs;\n if (is_zero_shot) {\n // Get indices of classes with high enough probability\n probs = logit.sigmoid().data;\n for (let k = 0; k < probs.length; ++k) {\n if (probs[k] > threshold) {\n indices.push(k);\n }\n }\n\n } else {\n // Get most probable class\n let maxIndex = max(logit.data)[1];\n\n if (maxIndex === num_classes - 1) {\n // This is the background class, skip it\n continue;\n }\n // Compute softmax over classes\n probs = softmax(logit.data);\n\n if (probs[maxIndex] < threshold) {\n continue;\n }\n indices.push(maxIndex);\n }\n\n for (const index of indices) {\n\n // Some class has a high enough probability\n /** @type {number[]} */\n let box = bbox[j].data;\n\n // convert to [x0, y0, x1, y1] format\n box = center_to_corners_format(box)\n if (target_size !== null) {\n box = box.map((x, i) => x * target_size[(i + 1) % 2])\n }\n\n info.boxes.push(box);\n info.classes.push(index);\n info.scores.push(probs[index]);\n }\n }\n toReturn.push(info);\n }\n return toReturn;\n}\n\n\n/**\n * Post-processes the outputs of the model (for semantic segmentation).\n * @param {*} outputs Raw outputs of the model.\n * @param {[number, number][]} [target_sizes=null] List of tuples corresponding to the requested final size\n * (height, width) of each prediction. If unset, predictions will not be resized.\n * @returns {{segmentation: Tensor; labels: number[]}[]} The semantic segmentation maps.\n */\nexport function post_process_semantic_segmentation(outputs, target_sizes = null) {\n\n const logits = outputs.logits;\n const batch_size = logits.dims[0];\n\n if (target_sizes !== null && target_sizes.length !== batch_size) {\n throw Error(\"Make sure that you pass in as many target sizes as the batch dimension of the logits\")\n }\n\n const toReturn = [];\n for (let i = 0; i < batch_size; ++i) {\n const target_size = target_sizes !== null ? target_sizes[i] : null;\n\n let data = logits[i];\n\n // 1. If target_size is not null, we need to resize the masks to the target size\n if (target_size !== null) {\n // resize the masks to the target size\n data = interpolate(data, target_size, 'bilinear', false);\n }\n const [height, width] = target_size ?? data.dims.slice(-2);\n\n const segmentation = new Tensor(\n 'int32',\n new Int32Array(height * width),\n [height, width]\n );\n\n // Buffer to store current largest value\n const buffer = data[0].data;\n const segmentation_data = segmentation.data;\n for (let j = 1; j < data.dims[0]; ++j) {\n const row = data[j].data;\n for (let k = 0; k < row.length; ++k) {\n if (row[k] > buffer[k]) {\n buffer[k] = row[k];\n segmentation_data[k] = j;\n }\n }\n }\n\n // Store which objects have labels\n // This is much more efficient that creating a set of the final values\n const hasLabel = new Array(data.dims[0]);\n for (let j = 0; j < segmentation_data.length; ++j) {\n const index = segmentation_data[j];\n hasLabel[index] = index;\n }\n /** @type {number[]} The unique list of labels that were detected */\n const labels = hasLabel.filter(x => x !== undefined);\n\n toReturn.push({ segmentation, labels });\n }\n return toReturn;\n}\n\n\n/**\n * Binarize the given masks using `object_mask_threshold`, it returns the associated values of `masks`, `scores` and `labels`.\n * @param {Tensor} class_logits The class logits.\n * @param {Tensor} mask_logits The mask logits.\n * @param {number} object_mask_threshold A number between 0 and 1 used to binarize the masks.\n * @param {number} num_labels The number of labels.\n * @returns {[Tensor[], number[], number[]]} The binarized masks, the scores, and the labels.\n * @private\n */\nfunction remove_low_and_no_objects(class_logits, mask_logits, object_mask_threshold, num_labels) {\n\n const mask_probs_item = [];\n const pred_scores_item = [];\n const pred_labels_item = [];\n\n for (let j = 0; j < class_logits.dims[0]; ++j) {\n const cls = class_logits[j];\n const mask = mask_logits[j];\n\n const pred_label = max(cls.data)[1];\n if (pred_label === num_labels) {\n // Is the background, so we ignore it\n continue;\n }\n\n const scores = softmax(cls.data);\n const pred_score = scores[pred_label];\n if (pred_score > object_mask_threshold) {\n mask_probs_item.push(mask);\n pred_scores_item.push(pred_score);\n pred_labels_item.push(pred_label);\n }\n }\n\n return [mask_probs_item, pred_scores_item, pred_labels_item];\n}\n\n/**\n * Checks whether the segment is valid or not.\n * @param {Int32Array} mask_labels Labels for each pixel in the mask.\n * @param {Tensor[]} mask_probs Probabilities for each pixel in the masks.\n * @param {number} k The class id of the segment.\n * @param {number} mask_threshold The mask threshold.\n * @param {number} overlap_mask_area_threshold The overlap mask area threshold.\n * @returns {[boolean, number[]]} Whether the segment is valid or not, and the indices of the valid labels.\n * @private\n */\nfunction check_segment_validity(\n mask_labels,\n mask_probs,\n k,\n mask_threshold = 0.5,\n overlap_mask_area_threshold = 0.8\n) {\n // mask_k is a 1D array of indices, indicating where the mask is equal to k\n const mask_k = [];\n let mask_k_area = 0;\n let original_area = 0;\n\n const mask_probs_k_data = mask_probs[k].data;\n\n // Compute the area of all the stuff in query k\n for (let i = 0; i < mask_labels.length; ++i) {\n if (mask_labels[i] === k) {\n mask_k.push(i);\n ++mask_k_area;\n }\n\n if (mask_probs_k_data[i] >= mask_threshold) {\n ++original_area;\n }\n }\n let mask_exists = mask_k_area > 0 && original_area > 0;\n\n // Eliminate disconnected tiny segments\n if (mask_exists) {\n // Perform additional check\n let area_ratio = mask_k_area / original_area;\n mask_exists = area_ratio > overlap_mask_area_threshold;\n }\n\n return [mask_exists, mask_k]\n}\n\n/**\n * Computes the segments.\n * @param {Tensor[]} mask_probs The mask probabilities.\n * @param {number[]} pred_scores The predicted scores.\n * @param {number[]} pred_labels The predicted labels.\n * @param {number} mask_threshold The mask threshold.\n * @param {number} overlap_mask_area_threshold The overlap mask area threshold.\n * @param {Set<number>} label_ids_to_fuse The label ids to fuse.\n * @param {number[]} target_size The target size of the image.\n * @returns {[Tensor, Array<{id: number, label_id: number, score: number}>]} The computed segments.\n * @private\n */\nfunction compute_segments(\n mask_probs,\n pred_scores,\n pred_labels,\n mask_threshold,\n overlap_mask_area_threshold,\n label_ids_to_fuse = null,\n target_size = null,\n) {\n const [height, width] = target_size ?? mask_probs[0].dims;\n\n const segmentation = new Tensor(\n 'int32',\n new Int32Array(height * width),\n [height, width]\n );\n const segments = [];\n\n // 1. If target_size is not null, we need to resize the masks to the target size\n if (target_size !== null) {\n // resize the masks to the target size\n for (let i = 0; i < mask_probs.length; ++i) {\n mask_probs[i] = interpolate(mask_probs[i], target_size, 'bilinear', false);\n }\n }\n\n // 2. Weigh each mask by its prediction score\n // NOTE: `mask_probs` is updated in-place\n // \n // Temporary storage for the best label/scores for each pixel ([height, width]):\n const mask_labels = new Int32Array(mask_probs[0].data.length);\n const bestScores = new Float32Array(mask_probs[0].data.length);\n\n for (let i = 0; i < mask_probs.length; ++i) {\n let score = pred_scores[i];\n\n const mask_probs_i_data = mask_probs[i].data;\n\n for (let j = 0; j < mask_probs_i_data.length; ++j) {\n mask_probs_i_data[j] *= score\n if (mask_probs_i_data[j] > bestScores[j]) {\n mask_labels[j] = i;\n bestScores[j] = mask_probs_i_data[j];\n }\n }\n }\n\n let current_segment_id = 0;\n\n // let stuff_memory_list = {}\n const segmentation_data = segmentation.data;\n for (let k = 0; k < pred_labels.length; ++k) {\n const pred_class = pred_labels[k];\n\n // TODO add `should_fuse`\n // let should_fuse = pred_class in label_ids_to_fuse\n\n // Check if mask exists and large enough to be a segment\n const [mask_exists, mask_k] = check_segment_validity(\n mask_labels,\n mask_probs,\n k,\n mask_threshold,\n overlap_mask_area_threshold\n )\n\n if (!mask_exists) {\n // Nothing to see here\n continue;\n }\n\n // TODO\n // if (pred_class in stuff_memory_list) {\n // current_segment_id = stuff_memory_list[pred_class]\n // } else {\n // current_segment_id += 1;\n // }\n ++current_segment_id;\n\n\n // Add current object segment to final segmentation map\n for (const index of mask_k) {\n segmentation_data[index] = current_segment_id;\n }\n\n segments.push({\n id: current_segment_id,\n label_id: pred_class,\n // was_fused: should_fuse, TODO\n score: pred_scores[k],\n })\n\n // TODO\n // if(should_fuse){\n // stuff_memory_list[pred_class] = current_segment_id\n // }\n }\n\n return [segmentation, segments];\n}\n\n/**\n * Rescales the image so that the following conditions are met:\n *\n * 1. Both dimensions (height and width) are divisible by 'factor'.\n * 2. The total number of pixels is within the range ['min_pixels', 'max_pixels'].\n * 3. The aspect ratio of the image is maintained as closely as possible.\n * \n * @param {number} height The height of the image.\n * @param {number} width The width of the image.\n * @param {number} [factor=28] The factor to use for resizing.\n * @param {number} [min_pixels=56*56] The minimum number of pixels.\n * @param {number} [max_pixels=14*14*4*1280] The maximum number of pixels.\n * @returns {[number, number]} The new height and width of the image.\n * @throws {Error} If the height or width is smaller than the factor.\n */\nfunction smart_resize(height, width, factor = 28, min_pixels = 56 * 56, max_pixels = 14 * 14 * 4 * 1280) {\n\n if (height < factor || width < factor) {\n throw new Error(`height:${height} or width:${width} must be larger than factor:${factor}`);\n } else if (Math.max(height, width) / Math.min(height, width) > 200) {\n throw new Error(\n `absolute aspect ratio must be smaller than 200, got ${Math.max(height, width) / Math.min(height, width)}`\n );\n }\n\n let h_bar = Math.round(height / factor) * factor;\n let w_bar = Math.round(width / factor) * factor;\n\n if (h_bar * w_bar > max_pixels) {\n const beta = Math.sqrt((height * width) / max_pixels);\n h_bar = Math.floor((height / beta) / factor) * factor;\n w_bar = Math.floor((width / beta) / factor) * factor;\n } else if (h_bar * w_bar < min_pixels) {\n const beta = Math.sqrt(min_pixels / (height * width));\n h_bar = Math.ceil((height * beta) / factor) * factor;\n w_bar = Math.ceil((width * beta) / factor) * factor;\n }\n\n return [h_bar, w_bar];\n}\n\n\n/**\n * Post-process the model output to generate the final panoptic segmentation.\n * @param {*} outputs The model output to post process\n * @param {number} [threshold=0.5] The probability score threshold to keep predicted instance masks.\n * @param {number} [mask_threshold=0.5] Threshold to use when turning the predicted masks into binary values.\n * @param {number} [overlap_mask_area_threshold=0.8] The overlap mask area threshold to merge or discard small disconnected parts within each binary instance mask.\n * @param {Set<number>} [label_ids_to_fuse=null] The labels in this state will have all their instances be fused together.\n * @param {[number, number][]} [target_sizes=null] The target sizes to resize the masks to.\n * @returns {Array<{ segmentation: Tensor, segments_info: Array<{id: number, label_id: number, score: number}>}>}\n */\nexport function post_process_panoptic_segmentation(\n outputs,\n threshold = 0.5,\n mask_threshold = 0.5,\n overlap_mask_area_threshold = 0.8,\n label_ids_to_fuse = null,\n target_sizes = null,\n) {\n if (label_ids_to_fuse === null) {\n console.warn(\"`label_ids_to_fuse` unset. No instance will be fused.\")\n label_ids_to_fuse = new Set();\n }\n\n const class_queries_logits = outputs.class_queries_logits ?? outputs.logits; // [batch_size, num_queries, num_classes+1]\n const masks_queries_logits = outputs.masks_queries_logits ?? outputs.pred_masks; // [batch_size, num_queries, height, width]\n\n const mask_probs = masks_queries_logits.sigmoid() // [batch_size, num_queries, height, width]\n\n let [batch_size, num_queries, num_labels] = class_queries_logits.dims;\n num_labels -= 1; // Remove last class (background)\n\n if (target_sizes !== null && target_sizes.length !== batch_size) {\n throw Error(\"Make sure that you pass in as many target sizes as the batch dimension of the logits\")\n }\n\n let toReturn = [];\n for (let i = 0; i < batch_size; ++i) {\n let target_size = target_sizes !== null ? target_sizes[i] : null;\n\n let class_logits = class_queries_logits[i];\n let mask_logits = mask_probs[i];\n\n let [mask_probs_item, pred_scores_item, pred_labels_item] = remove_low_and_no_objects(class_logits, mask_logits, threshold, num_labels);\n\n if (pred_labels_item.length === 0) {\n // No mask found\n let [height, width] = target_size ?? mask_logits.dims.slice(-2);\n\n let segmentation = new Tensor(\n 'int32',\n new Int32Array(height * width).fill(-1),\n [height, width]\n )\n toReturn.push({\n segmentation: segmentation,\n segments_info: []\n });\n continue;\n }\n\n\n // Get segmentation map and segment information of batch item\n let [segmentation, segments] = compute_segments(\n mask_probs_item,\n pred_scores_item,\n pred_labels_item,\n mask_threshold,\n overlap_mask_area_threshold,\n label_ids_to_fuse,\n target_size,\n )\n\n toReturn.push({\n segmentation: segmentation,\n segments_info: segments\n })\n }\n\n return toReturn;\n}\n\n\n/**\n * Post-processes the outputs of the model (for instance segmentation).\n * @param {*} outputs Raw outputs of the model.\n * @param {number} [threshold=0.5] The probability score threshold to keep predicted instance masks.\n * @param {[number, number][]} [target_sizes=null] List of tuples corresponding to the requested final size\n * (height, width) of each prediction. If unset, predictions will not be resized.\n * @returns {Array<{ segmentation: Tensor, segments_info: Array<{id: number, label_id: number, score: number}>}>}\n */\nexport function post_process_instance_segmentation(outputs, threshold = 0.5, target_sizes = null) {\n throw new Error('`post_process_instance_segmentation` is not yet implemented.');\n}\n\n\n/**\n * @typedef {Object} ImageProcessorConfig A configuration object used to create an image processor. \n * @property {function} [progress_callback=null] If specified, this function will be called during model construction, to provide the user with progress updates.\n * @property {number[]} [image_mean] The mean values for image normalization.\n * @property {number[]} [image_std] The standard deviation values for image normalization.\n * @property {boolean} [do_rescale] Whether to rescale the image pixel values to the [0,1] range.\n * @property {number} [rescale_factor] The factor to use for rescaling the image pixel values.\n * @property {boolean} [do_normalize] Whether to normalize the image pixel values.\n * @property {boolean} [do_resize] Whether to resize the image.\n * @property {number} [resample] What method to use for resampling.\n * @property {number|Object} [size] The size to resize the image to.\n * @property {number|Object} [image_size] The size to resize the image to (same as `size`).\n * @property {boolean} [do_flip_channel_order=false] Whether to flip the color channels from RGB to BGR.\n * Can be overridden by the `do_flip_channel_order` parameter in the `preprocess` method.\n * @property {boolean} [do_center_crop] Whether to center crop the image to the specified `crop_size`.\n * Can be overridden by `do_center_crop` in the `preprocess` method.\n * @property {boolean} [do_thumbnail] Whether to resize the image using thumbnail method.\n * @property {boolean} [keep_aspect_ratio] If `true`, the image is resized to the largest possible size such that the aspect ratio is preserved.\n * Can be overidden by `keep_aspect_ratio` in `preprocess`.\n * @property {number} [ensure_multiple_of] If `do_resize` is `true`, the image is resized to a size that is a multiple of this value.\n * Can be overidden by `ensure_multiple_of` in `preprocess`.\n * \n * @property {number[]} [mean] The mean values for image normalization (same as `image_mean`).\n * @property {number[]} [std] The standard deviation values for image normalization (same as `image_std`).\n */\n\nexport class ImageProcessor extends Callable {\n\n /**\n * Constructs a new `ImageProcessor`.\n * @param {ImageProcessorConfig} config The configuration object.\n */\n constructor(config) {\n super();\n\n this.image_mean = config.image_mean ?? config.mean;\n this.image_std = config.image_std ?? config.std;\n\n this.resample = config.resample ?? 2; // 2 => bilinear\n this.do_rescale = config.do_rescale ?? true;\n this.rescale_factor = config.rescale_factor ?? (1 / 255);\n this.do_normalize = config.do_normalize;\n\n this.do_thumbnail = config.do_thumbnail;\n this.size = config.size ?? config.image_size;\n this.do_resize = config.do_resize ?? (this.size !== undefined);\n // @ts-expect-error TS2339\n this.size_divisibility = config.size_divisibility ?? config.size_divisor;\n\n this.do_center_crop = config.do_center_crop;\n // @ts-expect-error TS2339\n this.crop_size = config.crop_size;\n // @ts-expect-error TS2339\n this.do_convert_rgb = config.do_convert_rgb ?? true;\n // @ts-expect-error TS2339\n this.do_crop_margin = config.do_crop_margin;\n\n // @ts-expect-error TS2339\n this.pad_size = config.pad_size;\n // @ts-expect-error TS2339\n this.do_pad = config.do_pad;\n\n if (this.do_pad && !this.pad_size && this.size && this.size.width !== undefined && this.size.height !== undefined) {\n // Should pad, but no pad size specified\n // We infer the pad size from the resize size\n this.pad_size = this.size\n }\n\n this.do_flip_channel_order = config.do_flip_channel_order ?? false;\n\n this.config = config;\n }\n\n /**\n * Resize the image to make a thumbnail. The image is resized so that no dimension is larger than any\n * corresponding dimension of the specified size.\n * @param {RawImage} image The image to be resized.\n * @param {{height:number, width:number}} size The size `{\"height\": h, \"width\": w}` to resize the image to.\n * @param {string | 0 | 1 | 2 | 3 | 4 | 5} [resample=2] The resampling filter to use.\n * @returns {Promise<RawImage>} The resized image.\n */\n async thumbnail(image, size, resample = 2) {\n const input_height = image.height;\n const input_width = image.width;\n\n const output_height = size.height;\n const output_width = size.width;\n\n // We always resize to the smallest of either the input or output size.\n let height = Math.min(input_height, output_height)\n let width = Math.min(input_width, output_width)\n\n if (height === input_height && width === input_width) {\n return image;\n }\n if (input_height > input_width) {\n width = Math.floor(input_width * height / input_height);\n } else if (input_width > input_height) {\n height = Math.floor(input_height * width / input_width);\n }\n return await image.resize(width, height, { resample });\n }\n\n\n /**\n * Crops the margin of the image. Gray pixels are considered margin (i.e., pixels with a value below the threshold).\n * @param {RawImage} image The image to be cropped.\n * @param {number} gray_threshold Value below which pixels are considered to be gray.\n * @returns {Promise<RawImage>} The cropped image.\n */\n async crop_margin(image, gray_threshold = 200) {\n\n const gray_image = image.clone().grayscale();\n\n const minValue = min(gray_image.data)[0];\n const maxValue = max(gray_image.data)[0];\n const diff = maxValue - minValue;\n\n if (diff === 0) {\n return image;\n }\n\n const threshold = gray_threshold / 255;\n\n let x_min = gray_image.width, y_min = gray_image.height, x_max = 0, y_max = 0;\n const gray_image_data = gray_image.data;\n for (let j = 0; j < gray_image.height; ++j) {\n const row = j * gray_image.width;\n for (let i = 0; i < gray_image.width; ++i) {\n if ((gray_image_data[row + i] - minValue) / diff < threshold) {\n // We have a non-zero pixel, so we update the min/max values accordingly\n x_min = Math.min(x_min, i);\n y_min = Math.min(y_min, j);\n x_max = Math.max(x_max, i);\n y_max = Math.max(y_max, j);\n }\n }\n }\n\n image = await image.crop([x_min, y_min, x_max, y_max]);\n return image;\n }\n\n /**\n * Pad the image by a certain amount.\n * @param {Float32Array} pixelData The pixel data to pad.\n * @param {number[]} imgDims The dimensions of the image (height, width, channels).\n * @param {{width:number; height:number}|number|'square'} padSize The dimensions of the padded image.\n * @param {Object} options The options for padding.\n * @param {'constant'|'symmetric'} [options.mode='constant'] The type of padding to add.\n * @param {boolean} [options.center=false] Whether to center the image.\n * @param {number|number[]} [options.constant_values=0] The constant value to use for padding.\n * @returns {[Float32Array, number[]]} The padded pixel data and image dimensions.\n */\n pad_image(pixelData, imgDims, padSize, {\n mode = 'constant',\n center = false,\n constant_values = 0,\n } = {}) {\n const [imageHeight, imageWidth, imageChannels] = imgDims;\n\n let paddedImageWidth, paddedImageHeight;\n if (typeof padSize === 'number') {\n paddedImageWidth = padSize;\n paddedImageHeight = padSize;\n } else if (padSize === 'square') {\n paddedImageWidth = paddedImageHeight = Math.max(imageHeight, imageWidth);\n } else {\n paddedImageWidth = padSize.width;\n paddedImageHeight = padSize.height;\n }\n\n // Only add padding if there is a difference in size\n if (paddedImageWidth !== imageWidth || paddedImageHeight !== imageHeight) {\n const paddedPixelData = new Float32Array(paddedImageWidth * paddedImageHeight * imageChannels);\n if (Array.isArray(constant_values)) {\n // Fill with constant values, cycling through the array\n for (let i = 0; i < paddedPixelData.length; ++i) {\n paddedPixelData[i] = constant_values[i % imageChannels];\n }\n } else if (constant_values !== 0) {\n paddedPixelData.fill(constant_values);\n }\n\n const [left, top] = center\n ? [Math.floor((paddedImageWidth - imageWidth) / 2), Math.floor((paddedImageHeight - imageHeight) / 2)]\n : [0, 0];\n\n // Copy the original image into the padded image\n for (let i = 0; i < imageHeight; ++i) {\n const a = (i + top) * paddedImageWidth;\n const b = i * imageWidth;\n for (let j = 0; j < imageWidth; ++j) {\n const c = (a + j + left) * imageChannels;\n const d = (b + j) * imageChannels;\n for (let k = 0; k < imageChannels; ++k) {\n paddedPixelData[c + k] = pixelData[d + k];\n }\n }\n }\n\n if (mode === 'symmetric') {\n if (center) {\n throw new Error('`center` padding is not supported when `mode` is set to `symmetric`.');\n // TODO: Implement this\n }\n const h1 = imageHeight - 1;\n const w1 = imageWidth - 1;\n for (let i = 0; i < paddedImageHeight; ++i) {\n const a = i * paddedImageWidth;\n const b = calculateReflectOffset(i, h1) * imageWidth;\n\n for (let j = 0; j < paddedImageWidth; ++j) {\n if (i < imageHeight && j < imageWidth) continue; // Do not overwrite original image\n const c = (a + j) * imageChannels;\n const d = (b + calculateReflectOffset(j, w1)) * imageChannels;\n\n // Copy channel-wise\n for (let k = 0; k < imageChannels; ++k) {\n paddedPixelData[c + k] = pixelData[d + k];\n }\n }\n }\n }\n\n\n // Update pixel data and image dimensions\n pixelData = paddedPixelData;\n imgDims = [paddedImageHeight, paddedImageWidth, imageChannels]\n }\n return [pixelData, imgDims];\n }\n\n /**\n * Rescale the image' pixel values by `this.rescale_factor`.\n * @param {Float32Array} pixelData The pixel data to rescale.\n * @returns {void}\n */\n rescale(pixelData) {\n for (let i = 0; i < pixelData.length; ++i) {\n pixelData[i] = this.rescale_factor * pixelData[i];\n }\n }\n\n /**\n * Find the target (width, height) dimension of the output image after\n * resizing given the input image and the desired size.\n * @param {RawImage} image The image to resize.\n * @param {any} size The size to use for resizing the image. \n * @returns {[number, number]} The target (width, height) dimension of the output image after resizing.\n */\n get_resize_output_image_size(image, size) {\n // `size` comes in many forms, so we need to handle them all here:\n // 1. `size` is an integer, in which case we resize the image to be a square \n\n const [srcWidth, srcHeight] = image.size;\n\n let shortest_edge;\n let longest_edge;\n\n if (this.do_thumbnail) {\n // NOTE: custom logic for `Donut` models\n const { height, width } = size;\n shortest_edge = Math.min(height, width)\n }\n // Support both formats for backwards compatibility\n else if (Number.isInteger(size)) {\n shortest_edge = size;\n // @ts-expect-error TS2339\n longest_edge = this.config.max_size ?? shortest_edge;\n\n } else if (size !== undefined) {\n // Extract known properties from `size`\n shortest_edge = size.shortest_edge;\n longest_edge = size.longest_edge;\n }\n\n // If `longest_edge` and `shortest_edge` are set, maintain aspect ratio and resize to `shortest_edge`\n // while keeping the largest dimension <= `longest_edge`\n if (shortest_edge !== undefined || longest_edge !== undefined) {\n // http://opensourcehacker.com/2011/12/01/calculate-aspect-ratio-conserving-resize-for-images-in-javascript/\n // Try resize so that shortest edge is `shortest_edge` (target)\n const shortResizeFactor = shortest_edge === undefined\n ? 1 // If `shortest_edge` is not set, don't upscale\n : Math.max(shortest_edge / srcWidth, shortest_edge / srcHeight);\n\n const newWidth = srcWidth * shortResizeFactor;\n const newHeight = srcHeight * shortResizeFactor;\n\n // The new width and height might be greater than `longest_edge`, so\n // we downscale again to ensure the largest dimension is `longest_edge` \n const longResizeFactor = longest_edge === undefined\n ? 1 // If `longest_edge` is not set, don't downscale\n : Math.min(longest_edge / newWidth, longest_edge / newHeight);\n\n // To avoid certain floating point precision issues, we round to 2 decimal places\n let finalWidth = Math.floor(Number((newWidth * longResizeFactor).toFixed(2)));\n let finalHeight = Math.floor(Number((newHeight * longResizeFactor).toFixed(2)));\n\n if (this.size_divisibility !== undefined) {\n [finalWidth, finalHeight] = enforce_size_divisibility([finalWidth, finalHeight], this.size_divisibility)\n }\n return [finalWidth, finalHeight];\n\n } else if (size !== undefined && size.width !== undefined && size.height !== undefined) {\n // If `width` and `height` are set, resize to those dimensions\n\n let newWidth = size.width;\n let newHeight = size.height;\n\n // Custom for DPT models\n if (this.config.keep_aspect_ratio && this.config.ensure_multiple_of) {\n\n // determine new height and width\n let scale_height = newHeight / srcHeight;\n let scale_width = newWidth / srcWidth;\n\n // scale as little as possible\n if (Math.abs(1 - scale_width) < Math.abs(1 - scale_height)) {\n // fit width\n scale_height = scale_width;\n } else {\n // fit height\n scale_width = scale_height;\n }\n\n newHeight = constraint_to_multiple_of(scale_height * srcHeight, this.config.ensure_multiple_of);\n newWidth = constraint_to_multiple_of(scale_width * srcWidth, this.config.ensure_multiple_of);\n }\n\n return [newWidth, newHeight];\n\n } else if (this.size_divisibility !== undefined) {\n return enforce_size_divisibility([srcWidth, srcHeight], this.size_divisibility);\n } else if (size.min_pixels !== undefined && size.max_pixels !== undefined) {\n // Custom resize logic for Qwen2-VL models\n const { min_pixels, max_pixels } = size;\n // @ts-expect-error TS2339\n const factor = this.config.patch_size * this.config.merge_size;\n return smart_resize(srcHeight, srcWidth, factor, min_pixels, max_pixels);\n } else {\n throw new Error(`Could not resize image due to unsupported \\`this.size\\` option in config: ${JSON.stringify(size)}`);\n }\n }\n\n /**\n * Resizes the image.\n * @param {RawImage} image The image to resize.\n * @returns {Promise<RawImage>} The resized image.\n */\n async resize(image) {\n const [newWidth, newHeight] = this.get_resize_output_image_size(image, this.size);\n return await image.resize(newWidth, newHeight, {\n // @ts-expect-error TS2322\n resample: this.resample,\n });\n }\n\n /**\n * @typedef {object} PreprocessedImage\n * @property {HeightWidth} original_size The original size of the image.\n * @property {HeightWidth} reshaped_input_size The reshaped input size of the image.\n * @property {Tensor} pixel_values The pixel values of the preprocessed image.\n */\n\n /**\n * Preprocesses the given image.\n *\n * @param {RawImage} image The image to preprocess.\n * @param {Object} overrides The overrides for the preprocessing options.\n * @returns {Promise<PreprocessedImage>} The preprocessed image.\n */\n async preprocess(image, {\n do_normalize = null,\n do_pad = null,\n do_convert_rgb = null,\n do_convert_grayscale = null,\n do_flip_channel_order = null,\n } = {}) {\n if (this.do_crop_margin) {\n // NOTE: Specific to nougat processors. This is done before resizing,\n // and can be interpreted as a pre-preprocessing step.\n image = await this.crop_margin(image);\n }\n\n const [srcWidth, srcHeight] = image.size; // original image size\n\n // Convert image to RGB if specified in config.\n if (do_convert_rgb ?? this.do_convert_rgb) {\n image = image.rgb();\n } else if (do_convert_grayscale) {\n image = image.grayscale();\n }\n\n // TODO:\n // For efficiency reasons, it might be best to merge the resize and center crop operations into one.\n\n // Resize all images\n if (this.do_resize) {\n image = await this.resize(image);\n }\n\n // Resize the image using thumbnail method.\n if (this.do_thumbnail) {\n // @ts-expect-error TS2345\n image = await this.thumbnail(image, this.size, this.resample);\n }\n\n if (this.do_center_crop) {\n\n let crop_width;\n let crop_height;\n if (Number.isInteger(this.crop_size)) {\n crop_width = this.crop_size;\n crop_height = this.crop_size;\n } else {\n crop_width = this.crop_size.width;\n crop_height = this.crop_size.height;\n }\n\n image = await image.center_crop(crop_width, crop_height);\n }\n\n /** @type {HeightWidth} */\n const reshaped_input_size = [image.height, image.width];\n\n // NOTE: All pixel-level manipulation (i.e., modifying `pixelData`)\n // occurs with data in the hwc format (height, width, channels), \n // to emulate the behavior of the original Python code (w/ numpy).\n /** @type {Float32Array} */\n let pixelData = Float32Array.from(image.data);\n let imgDims = [image.height, image.width, image.channels];\n\n if (this.do_rescale) {\n this.rescale(pixelData);\n }\n\n if (do_normalize ?? this.do_normalize) {\n let image_mean = this.image_mean;\n if (!Array.isArray(this.image_mean)) {\n image_mean = new Array(image.channels).fill(image_mean);\n }\n\n let image_std = this.image_std;\n if (!Array.isArray(this.image_std)) {\n image_std = new Array(image.channels).fill(image_mean);\n }\n\n if (image_mean.length !== image.channels || image_std.length !== image.channels) {\n throw new Error(`When set to arrays, the length of \\`image_mean\\` (${image_mean.length}) and \\`image_std\\` (${image_std.length}) must match the number of channels in the image (${image.channels}).`);\n }\n\n for (let i = 0; i < pixelData.length; i += image.channels) {\n for (let j = 0; j < image.channels; ++j) {\n pixelData[i + j] = (pixelData[i + j] - image_mean[j]) / image_std[j];\n }\n }\n }\n\n // do padding after rescaling/normalizing\n if (do_pad ?? this.do_pad) {\n if (this.pad_size) {\n const padded = this.pad_image(pixelData, [image.height, image.width, image.channels], this.pad_size);\n [pixelData, imgDims] = padded; // Update pixel data and image dimensions\n } else if (this.size_divisibility) {\n const [paddedWidth, paddedHeight] = enforce_size_divisibility([imgDims[1], imgDims[0]], this.size_divisibility);\n [pixelData, imgDims] = this.pad_image(pixelData, imgDims, { width: paddedWidth, height: paddedHeight });\n }\n }\n\n if (do_flip_channel_order ?? this.do_flip_channel_order) {\n if (imgDims[2] !== 3) {\n throw new Error('Flipping channel order is only supported for RGB images.');\n }\n // Convert RGB to BGR\n for (let i = 0; i < pixelData.length; i += 3) {\n const temp = pixelData[i];\n pixelData[i] = pixelData[i + 2];\n pixelData[i + 2] = temp;\n }\n }\n\n const pixel_values = new Tensor('float32', pixelData, imgDims)\n .permute(2, 0, 1); // convert to channel dimension format (hwc -> chw)\n\n return {\n original_size: [srcHeight, srcWidth],\n reshaped_input_size: reshaped_input_size,\n pixel_values,\n }\n }\n\n /**\n * Calls the feature extraction process on an array of images,\n * preprocesses each image, and concatenates the resulting\n * features into a single Tensor.\n * @param {RawImage[]} images The image(s) to extract features from.\n * @param {...any} args Additional arguments.\n * @returns {Promise<ImageProcessorResult>} An object containing the concatenated pixel values (and other metadata) of the preprocessed images.\n */\n async _call(images, ...args) {\n if (!Array.isArray(images)) {\n images = [images];\n }\n /** @type {PreprocessedImage[]} */\n const imageData = await Promise.all(images.map(x => this.preprocess(x)));\n\n // Stack pixel values\n const pixel_values = stack(imageData.map(x => x.pixel_values), 0);\n\n return {\n pixel_values,\n\n // Original sizes of images\n original_sizes: imageData.map(x => x.original_size),\n\n // Reshaped sizes of images, before padding or cropping\n reshaped_input_sizes: imageData.map(x => x.reshaped_input_size),\n }\n }\n\n\n /**\n * Instantiate one of the processor classes of the library from a pretrained model.\n * \n * The processor class to instantiate is selected based on the `image_processor_type` (or `feature_extractor_type`; legacy)\n * property of the config object (either passed as an argument or loaded from `pretrained_model_name_or_path` if possible)\n * \n * @param {string} pretrained_model_name_or_path The name or path of the pretrained model. Can be either:\n * - A string, the *model id* of a pretrained processor hosted inside a model repo on huggingface.co.\n * Valid model ids can be located at the root-level, like `bert-base-uncased`, or namespaced under a\n * user or organization name, like `dbmdz/bert-base-german-cased`.\n * - A path to a *directory* containing processor files, e.g., `./my_model_directory/`.\n * @param {import('../utils/hub.js').PretrainedOptions} options Additional options for loading the processor.\n * \n * @returns {Promise<ImageProcessor>} A new instance of the Processor class.\n */\n static async from_pretrained(pretrained_model_name_or_path, options) {\n const preprocessorConfig = await getModelJSON(pretrained_model_name_or_path, IMAGE_PROCESSOR_NAME, true, options);\n return new this(preprocessorConfig);\n }\n}\n", "\n/**\n * @file Processors are used to prepare inputs (e.g., text, image or audio) for a model.\n * \n * **Example:** Using a `WhisperProcessor` to prepare an audio input for a model.\n * ```javascript\n * import { AutoProcessor, read_audio } from '@huggingface/transformers';\n *\n * const processor = await AutoProcessor.from_pretrained('openai/whisper-tiny.en');\n * const audio = await read_audio('https://huggingface.co/datasets/Narsil/asr_dummy/resolve/main/mlk.flac', 16000);\n * const { input_features } = await processor(audio);\n * // Tensor {\n * // data: Float32Array(240000) [0.4752984642982483, 0.5597258806228638, 0.56434166431427, ...],\n * // dims: [1, 80, 3000],\n * // type: 'float32',\n * // size: 240000,\n * // }\n * ```\n * \n * @module processors\n */\nimport { PROCESSOR_NAME } from '../utils/constants.js';\nimport {\n Callable,\n} from '../utils/generic.js';\nimport { getModelJSON } from '../utils/hub.js';\n\n/**\n * @typedef {Object} ProcessorProperties Additional processor-specific properties.\n * @typedef {import('../utils/hub.js').PretrainedOptions & ProcessorProperties} PretrainedProcessorOptions\n * @typedef {import('../tokenizers.js').PreTrainedTokenizer} PreTrainedTokenizer\n */\n\n\n/**\n * Represents a Processor that extracts features from an input.\n */\nexport class Processor extends Callable {\n static classes = [\n 'image_processor_class',\n 'tokenizer_class',\n 'feature_extractor_class',\n ]\n static uses_processor_config = false;\n\n /**\n * Creates a new Processor with the given components\n * @param {Object} config \n * @param {Record<string, Object>} components \n */\n constructor(config, components) {\n super();\n this.config = config;\n this.components = components;\n }\n\n /**\n * @returns {import('./image_processors_utils.js').ImageProcessor|undefined} The image processor of the processor, if it exists.\n */\n get image_processor() {\n return this.components.image_processor;\n }\n\n /**\n * @returns {PreTrainedTokenizer|undefined} The tokenizer of the processor, if it exists.\n */\n get tokenizer() {\n return this.components.tokenizer;\n }\n\n /**\n * @returns {import('./feature_extraction_utils.js').FeatureExtractor|undefined} The feature extractor of the processor, if it exists.\n */\n get feature_extractor() {\n return this.components.feature_extractor;\n }\n\n /**\n * @param {Parameters<PreTrainedTokenizer['apply_chat_template']>[0]} messages\n * @param {Parameters<PreTrainedTokenizer['apply_chat_template']>[1]} options\n * @returns {ReturnType<PreTrainedTokenizer['apply_chat_template']>}\n */\n apply_chat_template(messages, options = {}) {\n if (!this.tokenizer) {\n throw new Error('Unable to apply chat template without a tokenizer.');\n }\n return this.tokenizer.apply_chat_template(messages, {\n tokenize: false, // default to false\n ...options,\n });\n }\n\n /**\n * @param {Parameters<PreTrainedTokenizer['batch_decode']>} args\n * @returns {ReturnType<PreTrainedTokenizer['batch_decode']>}\n */\n batch_decode(...args) {\n if (!this.tokenizer) {\n throw new Error('Unable to decode without a tokenizer.');\n }\n return this.tokenizer.batch_decode(...args);\n }\n\n /**\n * @param {Parameters<PreTrainedTokenizer['decode']>} args\n * @returns {ReturnType<PreTrainedTokenizer['decode']>}\n */\n decode(...args) {\n if (!this.tokenizer) {\n throw new Error('Unable to decode without a tokenizer.');\n }\n return this.tokenizer.decode(...args);\n }\n\n\n /**\n * Calls the feature_extractor function with the given input.\n * @param {any} input The input to extract features from.\n * @param {...any} args Additional arguments.\n * @returns {Promise<any>} A Promise that resolves with the extracted features.\n */\n async _call(input, ...args) {\n for (const item of [this.image_processor, this.feature_extractor, this.tokenizer]) {\n if (item) {\n return item(input, ...args);\n }\n }\n throw new Error('No image processor, feature extractor, or tokenizer found.');\n }\n\n\n /**\n * Instantiate one of the processor classes of the library from a pretrained model.\n * \n * The processor class to instantiate is selected based on the `image_processor_type` (or `feature_extractor_type`; legacy)\n * property of the config object (either passed as an argument or loaded from `pretrained_model_name_or_path` if possible)\n * \n * @param {string} pretrained_model_name_or_path The name or path of the pretrained model. Can be either:\n * - A string, the *model id* of a pretrained processor hosted inside a model repo on huggingface.co.\n * Valid model ids can be located at the root-level, like `bert-base-uncased`, or namespaced under a\n * user or organization name, like `dbmdz/bert-base-german-cased`.\n * - A path to a *directory* containing processor files, e.g., `./my_model_directory/`.\n * @param {PretrainedProcessorOptions} options Additional options for loading the processor.\n * \n * @returns {Promise<Processor>} A new instance of the Processor class.\n */\n static async from_pretrained(pretrained_model_name_or_path, options) {\n\n const [config, components] = await Promise.all([\n // TODO:\n this.uses_processor_config\n ? getModelJSON(pretrained_model_name_or_path, PROCESSOR_NAME, true, options)\n : {},\n Promise.all(\n this.classes\n .filter((cls) => cls in this)\n .map(async (cls) => {\n const component = await this[cls].from_pretrained(pretrained_model_name_or_path, options);\n return [cls.replace(/_class$/, ''), component];\n })\n ).then(Object.fromEntries)\n ]);\n\n return new this(config, components);\n }\n}\n", "\n/**\n * @file Helper module for using model configs. For more information, see the corresponding\n * [Python documentation](https://huggingface.co/docs/transformers/main/en/model_doc/auto#transformers.AutoConfig).\n * \n * **Example:** Load an `AutoConfig`.\n * \n * ```javascript\n * import { AutoConfig } from '@huggingface/transformers';\n * const config = await AutoConfig.from_pretrained('bert-base-uncased');\n * console.log(config);\n * // PretrainedConfig {\n * // \"model_type\": \"bert\",\n * // \"is_encoder_decoder\": false,\n * // \"architectures\": [\n * // \"BertForMaskedLM\"\n * // ],\n * // \"vocab_size\": 30522\n * // \"num_attention_heads\": 12,\n * // \"num_hidden_layers\": 12,\n * // \"hidden_size\": 768,\n * // \"max_position_embeddings\": 512,\n * // ...\n * // }\n * ```\n * \n * @module configs\n */\n\nimport { pick } from './utils/core.js';\nimport {\n getModelJSON,\n} from './utils/hub.js';\n\n/**\n * @typedef {import('./utils/hub.js').PretrainedOptions} PretrainedOptions\n */\n\n/**\n * @typedef {import('./utils/core.js').ProgressCallback} ProgressCallback\n */\n\n/**\n * @typedef {import('./utils/core.js').ProgressInfo} ProgressInfo\n */\n\n/**\n * Loads a config from the specified path.\n * @param {string} pretrained_model_name_or_path The path to the config directory.\n * @param {PretrainedOptions} options Additional options for loading the config.\n * @returns {Promise<Object>} A promise that resolves with information about the loaded config.\n */\nasync function loadConfig(pretrained_model_name_or_path, options) {\n return await getModelJSON(pretrained_model_name_or_path, 'config.json', true, options);\n}\n\n/**\n * \n * @param {PretrainedConfig} config \n * @returns {Object} The normalized configuration.\n */\nfunction getNormalizedConfig(config) {\n const mapping = {};\n\n let init_normalized_config = {};\n switch (config.model_type) {\n // Sub-configs\n case 'llava':\n case 'paligemma':\n case 'florence2':\n case 'llava_onevision':\n case 'idefics3':\n // @ts-expect-error TS2339\n init_normalized_config = getNormalizedConfig(config.text_config);\n break;\n case 'moondream1':\n // @ts-expect-error TS2339\n init_normalized_config = getNormalizedConfig(config.phi_config);\n break;\n case 'musicgen':\n // @ts-expect-error TS2339\n init_normalized_config = getNormalizedConfig(config.decoder);\n break;\n case 'multi_modality':\n // @ts-expect-error TS2339\n init_normalized_config = getNormalizedConfig(config.language_config);\n break;\n\n // Decoder-only models\n case 'gpt2':\n case 'gptj':\n case 'jais':\n case 'codegen':\n case 'gpt_bigcode':\n mapping['num_heads'] = 'n_head';\n mapping['num_layers'] = 'n_layer';\n mapping['hidden_size'] = 'n_embd';\n break;\n case 'gpt_neox':\n case 'stablelm':\n case 'opt':\n case 'falcon':\n mapping['num_heads'] = 'num_attention_heads';\n mapping['num_layers'] = 'num_hidden_layers';\n mapping['hidden_size'] = 'hidden_size';\n break;\n case 'llama':\n case 'olmo':\n case 'olmo2':\n case 'mobilellm':\n case 'granite':\n case 'cohere':\n case 'mistral':\n case 'starcoder2':\n case 'qwen2':\n case 'qwen2_vl':\n case 'phi':\n case 'phi3':\n case 'phi3_v':\n mapping['num_heads'] = 'num_key_value_heads';\n mapping['num_layers'] = 'num_hidden_layers';\n mapping['hidden_size'] = 'hidden_size';\n mapping['num_attention_heads'] = 'num_attention_heads';\n break;\n case 'gemma':\n case 'gemma2':\n case 'glm':\n case 'helium':\n mapping['num_heads'] = 'num_key_value_heads';\n mapping['num_layers'] = 'num_hidden_layers';\n mapping['dim_kv'] = 'head_dim';\n break;\n case 'openelm':\n mapping['num_heads'] = 'num_kv_heads';\n mapping['num_layers'] = 'num_transformer_layers';\n mapping['dim_kv'] = 'head_dim';\n break;\n case 'gpt_neo':\n case 'donut-swin':\n mapping['num_heads'] = 'num_heads';\n mapping['num_layers'] = 'num_layers';\n mapping['hidden_size'] = 'hidden_size';\n break;\n case 'bloom':\n mapping['num_heads'] = 'n_head';\n mapping['num_layers'] = 'n_layer';\n mapping['hidden_size'] = 'hidden_size';\n break;\n case 'mpt':\n mapping['num_heads'] = 'n_heads';\n mapping['num_layers'] = 'n_layers';\n mapping['hidden_size'] = 'd_model';\n break;\n case 'exaone':\n mapping['num_heads'] = 'num_key_value_heads';\n mapping['num_layers'] = 'num_layers';\n mapping['dim_kv'] = 'head_dim';\n mapping['num_attention_heads'] = 'num_attention_heads';\n break;\n\n // Encoder-decoder models\n case 't5':\n case 'mt5':\n case 'longt5':\n mapping['num_decoder_layers'] = 'num_decoder_layers';\n mapping['num_decoder_heads'] = 'num_heads';\n mapping['decoder_dim_kv'] = 'd_kv';\n mapping['num_encoder_layers'] = 'num_layers';\n mapping['num_encoder_heads'] = 'num_heads';\n mapping['encoder_dim_kv'] = 'd_kv';\n break;\n case 'bart':\n case 'mbart':\n case 'marian':\n case 'whisper':\n case 'm2m_100':\n case 'blenderbot':\n case 'blenderbot-small':\n case 'florence2_language':\n mapping['num_decoder_layers'] = 'decoder_layers';\n mapping['num_decoder_heads'] = 'decoder_attention_heads';\n mapping['decoder_hidden_size'] = 'd_model';\n mapping['num_encoder_layers'] = 'encoder_layers';\n mapping['num_encoder_heads'] = 'encoder_attention_heads';\n mapping['encoder_hidden_size'] = 'd_model';\n break;\n case 'speecht5':\n mapping['num_decoder_layers'] = 'decoder_layers';\n mapping['num_decoder_heads'] = 'decoder_attention_heads';\n mapping['decoder_hidden_size'] = 'hidden_size';\n mapping['num_encoder_layers'] = 'encoder_layers';\n mapping['num_encoder_heads'] = 'encoder_attention_heads';\n mapping['encoder_hidden_size'] = 'hidden_size';\n break;\n case 'trocr':\n mapping['num_encoder_layers'] = mapping['num_decoder_layers'] = 'decoder_layers';\n mapping['num_encoder_heads'] = mapping['num_decoder_heads'] = 'decoder_attention_heads';\n mapping['encoder_hidden_size'] = mapping['decoder_hidden_size'] = 'd_model';\n break;\n case 'musicgen_decoder':\n mapping['num_encoder_layers'] = mapping['num_decoder_layers'] = 'num_hidden_layers';\n mapping['num_encoder_heads'] = mapping['num_decoder_heads'] = 'num_attention_heads';\n mapping['encoder_hidden_size'] = mapping['decoder_hidden_size'] = 'hidden_size';\n break;\n case 'moonshine':\n mapping['num_decoder_layers'] = 'decoder_num_hidden_layers';\n mapping['num_decoder_heads'] = 'decoder_num_key_value_heads';\n mapping['num_encoder_layers'] = 'encoder_num_hidden_layers';\n mapping['num_encoder_heads'] = 'encoder_num_key_value_heads';\n mapping['encoder_hidden_size'] = mapping['decoder_hidden_size'] = 'hidden_size';\n break;\n case 'vision-encoder-decoder':\n // @ts-expect-error TS2339\n const decoderConfig = getNormalizedConfig(config.decoder);\n\n const add_encoder_pkv = 'num_decoder_layers' in decoderConfig;\n const result = pick(config, ['model_type', 'is_encoder_decoder']);\n if (add_encoder_pkv) {\n // Decoder is part of an encoder-decoder model\n result.num_decoder_layers = decoderConfig.num_decoder_layers;\n result.num_decoder_heads = decoderConfig.num_decoder_heads;\n result.decoder_hidden_size = decoderConfig.decoder_hidden_size;\n\n result.num_encoder_layers = decoderConfig.num_encoder_layers;\n result.num_encoder_heads = decoderConfig.num_encoder_heads;\n result.encoder_hidden_size = decoderConfig.encoder_hidden_size;\n } else {\n // Decoder is a decoder-only model\n result.num_layers = decoderConfig.num_layers;\n result.num_heads = decoderConfig.num_heads;\n result.hidden_size = decoderConfig.hidden_size;\n }\n return result;\n\n }\n\n // NOTE: If `num_attention_heads` is not set, it is assumed to be equal to `num_heads`\n const normalized_config = {\n ...init_normalized_config,\n ...pick(config, ['model_type', 'multi_query', 'is_encoder_decoder']),\n };\n for (const key in mapping) {\n normalized_config[key] = config[mapping[key]];\n }\n return normalized_config;\n}\n\n/**\n * \n * @param {PretrainedConfig} config \n * @returns {Record<string, number[]>}\n */\nexport function getKeyValueShapes(config, {\n prefix = 'past_key_values',\n batch_size=1,\n} = {}) {\n /** @type {Record<string, number[]>} */\n const decoderFeeds = {};\n const normalized_config = config.normalized_config;\n\n if (normalized_config.is_encoder_decoder && (\n 'num_encoder_heads' in normalized_config && 'num_decoder_heads' in normalized_config\n )) {\n const encoder_dim_kv = normalized_config.encoder_dim_kv ?? (\n normalized_config.encoder_hidden_size / normalized_config.num_encoder_heads\n );\n const decoder_dim_kv = normalized_config.decoder_dim_kv ?? (\n normalized_config.decoder_hidden_size / normalized_config.num_decoder_heads\n );\n\n const encoder_dims = [batch_size, normalized_config.num_encoder_heads, 0, encoder_dim_kv];\n const decoder_dims = [batch_size, normalized_config.num_decoder_heads, 0, decoder_dim_kv];\n for (let i = 0; i < normalized_config.num_decoder_layers; ++i) {\n decoderFeeds[`${prefix}.${i}.encoder.key`] = encoder_dims;\n decoderFeeds[`${prefix}.${i}.encoder.value`] = encoder_dims;\n decoderFeeds[`${prefix}.${i}.decoder.key`] = decoder_dims;\n decoderFeeds[`${prefix}.${i}.decoder.value`] = decoder_dims;\n }\n } else { // Decoders\n const num_heads = normalized_config.num_heads;\n const num_layers = normalized_config.num_layers;\n const dim_kv = normalized_config.dim_kv ?? (\n normalized_config.hidden_size /\n (normalized_config.num_attention_heads ?? num_heads)\n );\n\n if (normalized_config.model_type === 'falcon') {\n // NOTE: Custom implementation for Falcon\n const dims = [batch_size * num_heads, 0, dim_kv]\n for (let i = 0; i < num_layers; ++i) {\n decoderFeeds[`${prefix}.${i}.key`] = dims;\n decoderFeeds[`${prefix}.${i}.value`] = dims;\n }\n } else if (normalized_config.multi_query) { // e.g., for `gpt_bigcode`\n const dims = [batch_size * num_heads, 0, 2 * dim_kv]\n\n for (let i = 0; i < num_layers; ++i) {\n decoderFeeds[`${prefix}.${i}.key_value`] = dims;\n }\n } else if (normalized_config.model_type === 'bloom') {\n // NOTE: Custom implementation for Bloom\n\n const keyDims = [batch_size * num_heads, dim_kv, 0] // [batch_size x num_heads,64,past_sequence_length]\n const valueDims = [batch_size * num_heads, 0, dim_kv] // [batch_size x num_heads,past_sequence_length,64]\n for (let i = 0; i < num_layers; ++i) {\n decoderFeeds[`${prefix}.${i}.key`] = keyDims;\n decoderFeeds[`${prefix}.${i}.value`] = valueDims;\n }\n } else if (normalized_config.model_type === 'openelm') {\n for (let i = 0; i < num_layers; ++i) {\n const dims = [batch_size, num_heads[i], 0, dim_kv]\n\n decoderFeeds[`${prefix}.${i}.key`] = dims;\n decoderFeeds[`${prefix}.${i}.value`] = dims;\n }\n } else { // Decoder-only\n const dims = [batch_size, num_heads, 0, dim_kv]\n for (let i = 0; i < num_layers; ++i) {\n decoderFeeds[`${prefix}.${i}.key`] = dims;\n decoderFeeds[`${prefix}.${i}.value`] = dims;\n }\n }\n }\n\n return decoderFeeds;\n}\n/**\n * Base class for all configuration classes. For more information, see the corresponding\n * [Python documentation](https://huggingface.co/docs/transformers/main/en/main_classes/configuration#transformers.PretrainedConfig).\n */\nexport class PretrainedConfig {\n // NOTE: Typo in original\n\n /** @type {string|null} */\n model_type = null;\n\n /** @type {boolean} */\n is_encoder_decoder = false;\n\n /** @type {number} */\n max_position_embeddings;\n\n /** @type {TransformersJSConfig} */\n 'transformers.js_config';\n\n /**\n * Create a new PreTrainedTokenizer instance.\n * @param {Object} configJSON The JSON of the config.\n */\n constructor(configJSON) {\n Object.assign(this, configJSON);\n this.normalized_config = getNormalizedConfig(this);\n }\n\n /**\n * Loads a pre-trained config from the given `pretrained_model_name_or_path`. \n * \n * @param {string} pretrained_model_name_or_path The path to the pre-trained config.\n * @param {PretrainedOptions} options Additional options for loading the config.\n * @throws {Error} Throws an error if the config.json is not found in the `pretrained_model_name_or_path`.\n * \n * @returns {Promise<PretrainedConfig>} A new instance of the `PretrainedConfig` class.\n */\n static async from_pretrained(pretrained_model_name_or_path, {\n progress_callback = null,\n config = null,\n cache_dir = null,\n local_files_only = false,\n revision = 'main',\n } = {}) {\n if (config && !(config instanceof PretrainedConfig)) {\n config = new PretrainedConfig(config);\n }\n\n const data = config ?? await loadConfig(pretrained_model_name_or_path, {\n progress_callback,\n config,\n cache_dir,\n local_files_only,\n revision,\n })\n return new this(data);\n }\n}\n\n/**\n * Helper class which is used to instantiate pretrained configs with the `from_pretrained` function.\n * \n * @example\n * const config = await AutoConfig.from_pretrained('Xenova/bert-base-uncased'); \n */\nexport class AutoConfig {\n /** @type {typeof PretrainedConfig.from_pretrained} */\n static async from_pretrained(...args) {\n return PretrainedConfig.from_pretrained(...args);\n }\n}\n\n/**\n * Transformers.js-specific configuration, possibly present in config.json under the key `transformers.js_config`.\n * @typedef {Object} TransformersJSConfig\n * @property {import('./utils/tensor.js').DataType|Record<import('./utils/dtypes.js').DataType, import('./utils/tensor.js').DataType>} [kv_cache_dtype] The data type of the key-value cache.\n * @property {Record<string, number>} [free_dimension_overrides] Override the free dimensions of the model.\n * See https://onnxruntime.ai/docs/tutorials/web/env-flags-and-session-options.html#freedimensionoverrides\n * for more information.\n * @property {import('./utils/devices.js').DeviceType} [device] The default device to use for the model.\n * @property {import('./utils/dtypes.js').DataType|Record<string, import('./utils/dtypes.js').DataType>} [dtype] The default data type to use for the model.\n * @property {boolean|Record<string, boolean>} [use_external_data_format=false] Whether to load the model using the external data format (used for models >= 2GB in size).\n */\n", "/**\n * @file Module used to configure Transformers.js.\n * \n * **Example:** Disable remote models.\n * ```javascript\n * import { env } from '@huggingface/transformers';\n * env.allowRemoteModels = false;\n * ```\n * \n * **Example:** Set local model path.\n * ```javascript\n * import { env } from '@huggingface/transformers';\n * env.localModelPath = '/path/to/local/models/';\n * ```\n * \n * **Example:** Set cache directory.\n * ```javascript\n * import { env } from '@huggingface/transformers';\n * env.cacheDir = '/path/to/cache/directory/';\n * ```\n * \n * @module env\n */\n\nimport fs from 'fs';\nimport path from 'path';\nimport url from 'url';\n\nconst VERSION = '3.3.3';\n\n// Check if various APIs are available (depends on environment)\nconst IS_BROWSER_ENV = typeof window !== \"undefined\" && typeof window.document !== \"undefined\";\nconst IS_WEBWORKER_ENV = typeof self !== \"undefined\" && self.constructor?.name === 'DedicatedWorkerGlobalScope';\nconst IS_WEB_CACHE_AVAILABLE = typeof self !== \"undefined\" && 'caches' in self;\nconst IS_WEBGPU_AVAILABLE = typeof navigator !== 'undefined' && 'gpu' in navigator;\nconst IS_WEBNN_AVAILABLE = typeof navigator !== 'undefined' && 'ml' in navigator;\n\nconst IS_PROCESS_AVAILABLE = typeof process !== 'undefined';\nconst IS_NODE_ENV = IS_PROCESS_AVAILABLE && process?.release?.name === 'node';\nconst IS_FS_AVAILABLE = !isEmpty(fs);\nconst IS_PATH_AVAILABLE = !isEmpty(path);\n\n/**\n * A read-only object containing information about the APIs available in the current environment.\n */\nexport const apis = Object.freeze({\n /** Whether we are running in a browser environment (and not a web worker) */\n IS_BROWSER_ENV,\n\n /** Whether we are running in a web worker environment */\n IS_WEBWORKER_ENV,\n\n /** Whether the Cache API is available */\n IS_WEB_CACHE_AVAILABLE,\n\n /** Whether the WebGPU API is available */\n IS_WEBGPU_AVAILABLE,\n\n /** Whether the WebNN API is available */\n IS_WEBNN_AVAILABLE,\n\n /** Whether the Node.js process API is available */\n IS_PROCESS_AVAILABLE,\n\n /** Whether we are running in a Node.js environment */\n IS_NODE_ENV,\n\n /** Whether the filesystem API is available */\n IS_FS_AVAILABLE,\n\n /** Whether the path API is available */\n IS_PATH_AVAILABLE,\n});\n\nconst RUNNING_LOCALLY = IS_FS_AVAILABLE && IS_PATH_AVAILABLE;\n\nlet dirname__ = './';\nif (RUNNING_LOCALLY) {\n // NOTE: We wrap `import.meta` in a call to `Object` to prevent Webpack from trying to bundle it in CommonJS.\n // Although we get the warning: \"Accessing import.meta directly is unsupported (only property access or destructuring is supported)\",\n // it is safe to ignore since the bundled value (`{}`) isn't used for CommonJS environments (we use __dirname instead).\n const _import_meta_url = Object(import.meta).url;\n\n if (_import_meta_url) {\n dirname__ = path.dirname(path.dirname(url.fileURLToPath(_import_meta_url))) // ESM\n } else if (typeof __dirname !== 'undefined') {\n dirname__ = path.dirname(__dirname) // CommonJS\n }\n}\n\n// Only used for environments with access to file system\nconst DEFAULT_CACHE_DIR = RUNNING_LOCALLY\n ? path.join(dirname__, '/.cache/')\n : null;\n\n// Set local model path, based on available APIs\nconst DEFAULT_LOCAL_MODEL_PATH = '/models/';\nconst localModelPath = RUNNING_LOCALLY\n ? path.join(dirname__, DEFAULT_LOCAL_MODEL_PATH)\n : DEFAULT_LOCAL_MODEL_PATH;\n\n/**\n * Global variable given visible to users to control execution. This provides users a simple way to configure Transformers.js.\n * @typedef {Object} TransformersEnvironment\n * @property {string} version This version of Transformers.js.\n * @property {{onnx: Partial<import('onnxruntime-common').Env>}} backends Expose environment variables of different backends,\n * allowing users to set these variables if they want to.\n * @property {boolean} allowRemoteModels Whether to allow loading of remote files, defaults to `true`.\n * If set to `false`, it will have the same effect as setting `local_files_only=true` when loading pipelines, models, tokenizers, processors, etc.\n * @property {string} remoteHost Host URL to load models from. Defaults to the Hugging Face Hub.\n * @property {string} remotePathTemplate Path template to fill in and append to `remoteHost` when loading models.\n * @property {boolean} allowLocalModels Whether to allow loading of local files, defaults to `false` if running in-browser, and `true` otherwise.\n * If set to `false`, it will skip the local file check and try to load the model from the remote host.\n * @property {string} localModelPath Path to load local models from. Defaults to `/models/`.\n * @property {boolean} useFS Whether to use the file system to load files. By default, it is `true` if available.\n * @property {boolean} useBrowserCache Whether to use Cache API to cache models. By default, it is `true` if available.\n * @property {boolean} useFSCache Whether to use the file system to cache files. By default, it is `true` if available.\n * @property {string} cacheDir The directory to use for caching files with the file system. By default, it is `./.cache`.\n * @property {boolean} useCustomCache Whether to use a custom cache system (defined by `customCache`), defaults to `false`.\n * @property {Object} customCache The custom cache to use. Defaults to `null`. Note: this must be an object which\n * implements the `match` and `put` functions of the Web Cache API. For more information, see https://developer.mozilla.org/en-US/docs/Web/API/Cache\n */\n\n/** @type {TransformersEnvironment} */\nexport const env = {\n version: VERSION,\n\n /////////////////// Backends settings ///////////////////\n // NOTE: These will be populated later by the backends themselves.\n backends: {\n // onnxruntime-web/onnxruntime-node\n onnx: {},\n },\n\n /////////////////// Model settings ///////////////////\n allowRemoteModels: true,\n remoteHost: 'https://huggingface.co/',\n remotePathTemplate: '{model}/resolve/{revision}/',\n\n allowLocalModels: !(IS_BROWSER_ENV || IS_WEBWORKER_ENV),\n localModelPath: localModelPath,\n useFS: IS_FS_AVAILABLE,\n\n /////////////////// Cache settings ///////////////////\n useBrowserCache: IS_WEB_CACHE_AVAILABLE,\n\n useFSCache: IS_FS_AVAILABLE,\n cacheDir: DEFAULT_CACHE_DIR,\n\n useCustomCache: false,\n customCache: null,\n //////////////////////////////////////////////////////\n}\n\n\n/**\n * @param {Object} obj\n * @private\n */\nfunction isEmpty(obj) {\n return Object.keys(obj).length === 0;\n}\n", "\n/**\n * @module generation/configuration_utils\n */\n\nimport { pick } from \"../utils/core.js\";\n\n/**\n * Class that holds a configuration for a generation task.\n */\nexport class GenerationConfig {\n // Parameters that control the length of the output\n /**\n * The maximum length the generated tokens can have.\n * Corresponds to the length of the input prompt + `max_new_tokens`.\n * Its effect is overridden by `max_new_tokens`, if also set.\n * @type {number}\n * @default 20\n */\n max_length = 20;\n\n /**\n * The maximum numbers of tokens to generate, ignoring the number of tokens in the prompt.\n * @type {number}\n * @default null\n */\n max_new_tokens = null;\n\n /**\n * The minimum length of the sequence to be generated.\n * Corresponds to the length of the input prompt + `min_new_tokens`.\n * Its effect is overridden by `min_new_tokens`, if also set.\n * @type {number}\n * @default 0\n */\n min_length = 0;\n\n /**\n * The minimum numbers of tokens to generate, ignoring the number of tokens in the prompt.\n * @type {number}\n * @default null\n */\n min_new_tokens = null;\n\n /**\n * Controls the stopping condition for beam-based methods, like beam-search. It accepts the following values:\n * - `true`, where the generation stops as soon as there are `num_beams` complete candidates;\n * - `false`, where an heuristic is applied and the generation stops when is it very unlikely to find better candidates;\n * - `\"never\"`, where the beam search procedure only stops when there cannot be better candidates (canonical beam search algorithm).\n * @type {boolean|\"never\"}\n * @default false\n */\n early_stopping = false;\n\n /**\n * The maximum amount of time you allow the computation to run for in seconds.\n * Generation will still finish the current pass after allocated time has been passed.\n * @type {number}\n * @default null\n */\n max_time = null;\n\n // Parameters that control the generation strategy used\n /**\n * Whether or not to use sampling; use greedy decoding otherwise.\n * @type {boolean}\n * @default false\n */\n do_sample = false;\n\n /**\n * Number of beams for beam search. 1 means no beam search.\n * @type {number}\n * @default 1\n */\n num_beams = 1;\n\n /**\n * Number of groups to divide `num_beams` into in order to ensure diversity among different groups of beams.\n * See [this paper](https://arxiv.org/pdf/1610.02424.pdf) for more details.\n * @type {number}\n * @default 1\n */\n num_beam_groups = 1;\n\n /**\n * The values balance the model confidence and the degeneration penalty in contrastive search decoding.\n * @type {number}\n * @default null\n */\n penalty_alpha = null;\n\n /**\n * Whether or not the model should use the past last key/values attentions (if applicable to the model) to speed up decoding.\n * @type {boolean}\n * @default true\n */\n use_cache = true;\n\n // Parameters for manipulation of the model output logits\n /**\n * The value used to modulate the next token probabilities.\n * @type {number}\n * @default 1.0\n */\n temperature = 1.0;\n\n /**\n * The number of highest probability vocabulary tokens to keep for top-k-filtering.\n * @type {number}\n * @default 50\n */\n top_k = 50;\n\n /**\n * If set to float < 1, only the smallest set of most probable tokens with probabilities that add up to `top_p` or higher are kept for generation.\n * @type {number}\n * @default 1.0\n */\n top_p = 1.0;\n\n /**\n * Local typicality measures how similar the conditional probability of predicting a target token next is to the expected conditional probability of predicting a random token next, given the partial text already generated.\n * If set to float < 1, the smallest set of the most locally typical tokens with probabilities that add up to `typical_p` or higher are kept for generation.\n * See [this paper](https://arxiv.org/pdf/2202.00666.pdf) for more details.\n * @type {number}\n * @default 1.0\n */\n typical_p = 1.0;\n\n /**\n * If set to float strictly between 0 and 1, only tokens with a conditional probability greater than `epsilon_cutoff` will be sampled.\n * In the paper, suggested values range from 3e-4 to 9e-4, depending on the size of the model.\n * See [Truncation Sampling as Language Model Desmoothing](https://arxiv.org/abs/2210.15191) for more details.\n * @type {number}\n * @default 0.0\n */\n epsilon_cutoff = 0.0;\n\n /**\n * Eta sampling is a hybrid of locally typical sampling and epsilon sampling.\n * If set to float strictly between 0 and 1, a token is only considered if it is greater than either `eta_cutoff` or `sqrt(eta_cutoff) * exp(-entropy(softmax(next_token_logits)))`.\n * The latter term is intuitively the expected next token probability, scaled by `sqrt(eta_cutoff)`. In the paper, suggested values range from 3e-4 to 2e-3, depending on the size of the model.\n * See [Truncation Sampling as Language Model Desmoothing](https://arxiv.org/abs/2210.15191) for more details.\n * @type {number}\n * @default 0.0\n */\n eta_cutoff = 0.0;\n\n /**\n * This value is subtracted from a beam's score if it generates a token same as any beam from other group at a particular time.\n * Note that `diversity_penalty` is only effective if `group beam search` is enabled.\n * @type {number}\n * @default 0.0\n */\n diversity_penalty = 0.0;\n\n /**\n * The parameter for repetition penalty. 1.0 means no penalty.\n * See [this paper](https://arxiv.org/pdf/1909.05858.pdf) for more details.\n * @type {number}\n * @default 1.0\n */\n repetition_penalty = 1.0;\n\n /**\n * The paramater for encoder_repetition_penalty.\n * An exponential penalty on sequences that are not in the original input.\n * 1.0 means no penalty.\n * @type {number}\n * @default 1.0\n */\n encoder_repetition_penalty = 1.0;\n\n /**\n * Exponential penalty to the length that is used with beam-based generation.\n * It is applied as an exponent to the sequence length, which in turn is used to divide the score of the sequence.\n * Since the score is the log likelihood of the sequence (i.e. negative), `length_penalty` > 0.0 promotes longer sequences, while `length_penalty` < 0.0 encourages shorter sequences.\n * @type {number}\n * @default 1.0\n */\n length_penalty = 1.0;\n\n /**\n * If set to int > 0, all ngrams of that size can only occur once.\n * @type {number}\n * @default 0\n */\n no_repeat_ngram_size = 0;\n\n /**\n * List of token ids that are not allowed to be generated.\n * In order to get the token ids of the words that should not appear in the generated text, use\n * `tokenizer(bad_words, { add_prefix_space: true, add_special_tokens: false }).input_ids`.\n * @type {number[][]}\n * @default null\n */\n bad_words_ids = null;\n\n /**\n * List of token ids that must be generated.\n * If given a `number[][]`, this is treated as a simple list of words that must be included, the opposite to `bad_words_ids`.\n * If given `number[][][]`, this triggers a [disjunctive constraint](https://github.com/huggingface/transformers/issues/14081), where one can allow different forms of each word.\n * @type {number[][]|number[][][]}\n * @default null\n */\n force_words_ids = null;\n\n /**\n * Whether to renormalize the logits after applying all the logits processors or warpers (including the custom ones).\n * It's highly recommended to set this flag to `true` as the search algorithms suppose the score logits are normalized but some logit processors or warpers break the normalization.\n * @type {boolean}\n * @default false\n */\n renormalize_logits = false;\n\n /**\n * Custom constraints that can be added to the generation to ensure that the output will contain the use of certain tokens as defined by `Constraint` objects, in the most sensible way possible.\n * @type {Object[]}\n * @default null\n */\n constraints = null;\n\n /**\n * The id of the token to force as the first generated token after the `decoder_start_token_id`.\n * Useful for multilingual models like mBART where the first generated token needs to be the target language token.\n * @type {number}\n * @default null\n */\n forced_bos_token_id = null;\n\n /**\n * The id of the token to force as the last generated token when `max_length` is reached.\n * Optionally, use a list to set multiple *end-of-sequence* tokens.\n * @type {number|number[]}\n * @default null\n */\n forced_eos_token_id = null;\n\n /**\n * Whether to remove possible *nan* and *inf* outputs of the model to prevent the generation method to crash. Note that using `remove_invalid_values` can slow down generation.\n * @type {boolean}\n */\n remove_invalid_values = false;\n\n /**\n * This Tuple adds an exponentially increasing length penalty, after a certain amount of tokens have been generated.\n * The tuple shall consist of: `(start_index, decay_factor)` where `start_index` indicates where penalty starts and `decay_factor` represents the factor of exponential decay.\n * @type {[number, number]}\n * @default null\n */\n exponential_decay_length_penalty = null;\n\n /**\n * A list of tokens that will be suppressed at generation.\n * The `SuppressTokens` logit processor will set their log probs to `-inf` so that they are not sampled.\n * @type {number[]}\n * @default null\n */\n suppress_tokens = null;\n\n /**\n * A streamer that will be used to stream the generation.\n * @type {import('./streamers.js').TextStreamer}\n * @default null\n */\n streamer = null;\n\n /**\n * A list of tokens that will be suppressed at the beginning of the generation.\n * The `SuppressBeginTokens` logit processor will set their log probs to `-inf` so that they are not sampled.\n * @type {number[]}\n * @default null\n */\n begin_suppress_tokens = null;\n\n /**\n * A list of pairs of integers which indicates a mapping from generation indices to token indices that will be forced before sampling.\n * For example, `[[1, 123]]` means the second generated token will always be a token of index 123.\n * @type {[number, number][]}\n * @default null\n */\n forced_decoder_ids = null;\n\n /**\n * The guidance scale for classifier free guidance (CFG). CFG is enabled by setting `guidance_scale > 1`.\n * Higher guidance scale encourages the model to generate samples that are more closely linked to the input\n * prompt, usually at the expense of poorer quality.\n * @type {number}\n * @default null\n */\n guidance_scale = null;\n\n // Parameters that define the output variables of `generate`\n /**\n * The number of independently computed returned sequences for each element in the batch.\n * @type {number}\n * @default 1\n */\n num_return_sequences = 1;\n\n /**\n * Whether or not to return the attentions tensors of all attention layers.\n * See `attentions` under returned tensors for more details.\n * @type {boolean}\n * @default false\n */\n output_attentions = false;\n\n /**\n * Whether or not to return the hidden states of all layers.\n * See `hidden_states` under returned tensors for more details.\n * @type {boolean}\n * @default false\n */\n output_hidden_states = false;\n\n /**\n * Whether or not to return the prediction scores.\n * See `scores` under returned tensors for more details.\n * @type {boolean}\n * @default false\n */\n output_scores = false;\n\n /**\n * Whether or not to return a `ModelOutput` instead of a plain tuple.\n * @type {boolean}\n * @default false\n */\n return_dict_in_generate = false;\n\n // Special tokens that can be used at generation time\n /**\n * The id of the *padding* token.\n * @type {number}\n * @default null\n */\n pad_token_id = null;\n\n /**\n * The id of the *beginning-of-sequence* token.\n * @type {number}\n * @default null\n */\n bos_token_id = null;\n\n /**\n * The id of the *end-of-sequence* token.\n * Optionally, use a list to set multiple *end-of-sequence* tokens.\n * @type {number|number[]}\n * @default null\n */\n eos_token_id = null;\n\n // Generation parameters exclusive to encoder-decoder models\n /**\n * If set to int > 0, all ngrams of that size that occur in the `encoder_input_ids` cannot occur in the `decoder_input_ids`.\n * @type {number}\n * @default 0\n */\n encoder_no_repeat_ngram_size = 0;\n\n /**\n * If an encoder-decoder model starts decoding with a different token than *bos*, the id of that token.\n * @type {number}\n * @default null\n */\n decoder_start_token_id = null;\n\n // Wild card\n /**\n * Additional generation kwargs will be forwarded to the `generate` function of the model.\n * Kwargs that are not present in `generate`'s signature will be used in the model forward pass.\n * @type {Object}\n * @default {}\n */\n generation_kwargs = {};\n\n /**\n * \n * @param {GenerationConfig|import('../configs.js').PretrainedConfig} config \n */\n constructor(config) {\n Object.assign(this, pick(config, Object.getOwnPropertyNames(this)));\n }\n}\n\n", "\n/**\n * @module generation/logits_process\n */\n\nimport { Callable } from \"../utils/generic.js\";\nimport { Tensor } from \"../utils/tensor.js\";\n\nimport { max, log_softmax } from \"../utils/maths.js\";\n\n/**\n * Abstract base class for all logit processors that can be applied during generation.\n */\nexport class LogitsProcessor extends Callable {\n /**\n * Apply the processor to the input logits.\n *\n * @abstract\n * @param {bigint[][]} input_ids The input ids.\n * @param {Tensor} logits The logits to process.\n * @throws {Error} Throws an error if `_call` is not implemented in the subclass.\n */\n _call(input_ids, logits) {\n throw Error(\"`_call` should be implemented in a subclass\")\n }\n}\n\n\n/**\n * Abstract base class for all logit warpers that can be applied during generation with multinomial sampling.\n */\nexport class LogitsWarper extends Callable {\n /**\n * Apply the processor to the input logits.\n *\n * @abstract\n * @param {bigint[][]} input_ids The input ids.\n * @param {Tensor} logits The logits to process.\n * @throws {Error} Throws an error if `_call` is not implemented in the subclass.\n */\n _call(input_ids, logits) {\n throw Error(\"`_call` should be implemented in a subclass\")\n }\n}\n\n\n/**\n * A class representing a list of logits processors. A logits processor is a function that modifies the logits\n * output of a language model. This class provides methods for adding new processors and applying all processors to a\n * batch of logits.\n */\nexport class LogitsProcessorList extends Callable {\n /**\n * Constructs a new instance of `LogitsProcessorList`.\n */\n constructor() {\n super();\n this.processors = [];\n }\n\n /**\n * Adds a new logits processor to the list.\n *\n * @param {LogitsProcessor} item The logits processor function to add.\n */\n push(item) {\n this.processors.push(item);\n }\n\n /**\n * Adds multiple logits processors to the list.\n *\n * @param {LogitsProcessor[]} items The logits processor functions to add.\n */\n extend(items) {\n this.processors.push(...items);\n }\n\n /**\n * Applies all logits processors in the list to a batch of logits, modifying them in-place.\n *\n * @param {bigint[][]} input_ids The input IDs for the language model.\n * @param {Tensor} logits\n */\n _call(input_ids, logits) {\n let toReturn = logits;\n // NOTE: Most processors modify logits inplace\n for (const processor of this.processors) {\n toReturn = processor(input_ids, toReturn);\n }\n return toReturn;\n }\n\n [Symbol.iterator]() {\n return this.processors.values();\n }\n}\n\n// DEPRECATED: https://github.com/huggingface/transformers/pull/29485\n// /**\n// * A logits processor that forces a specific token to be generated by the decoder.\n// */\n// export class ForceTokensLogitsProcessor extends LogitsProcessor {\n// /**\n// * Constructs a new instance of `ForceTokensLogitsProcessor`.\n// * \n// * @param {[number, number][]} forced_decoder_ids The ids of tokens that should be forced.\n// */\n// constructor(forced_decoder_ids) {\n// super();\n// // TODO: convert to `new Map(forced_decoder_ids)`\n// this.force_token_map = Object.fromEntries(forced_decoder_ids ?? []);\n// }\n\n// /**\n// * Apply the processor to the input logits.\n// *\n// * @param {bigint[][]} input_ids The input ids.\n// * @param {Tensor} logits The logits to process.\n// * @returns {Tensor} The processed logits.\n// */\n// _call(input_ids, logits) {\n// console.log('this.force_token_map', this.force_token_map)\n// console.log('call ForceTokensLogitsProcessor', input_ids, logits)\n// console.log('input_ids.length', input_ids.length)\n// let map = this.force_token_map[input_ids.length];\n// if (map) { // There exists a mapping\n// logits.data.fill(-Infinity)\n// logits.data[map] = 0;\n// }\n// console.log('map', map)\n// // throw Error(\"Not implemented\")\n// return logits;\n// }\n// }\n\n/**\n * A LogitsProcessor that forces a BOS token at the beginning of the generated sequence.\n */\nexport class ForcedBOSTokenLogitsProcessor extends LogitsProcessor {\n /**\n * Create a ForcedBOSTokenLogitsProcessor.\n * @param {number} bos_token_id The ID of the beginning-of-sequence token to be forced.\n */\n constructor(bos_token_id) {\n super();\n this.bos_token_id = bos_token_id;\n }\n\n /**\n * Apply the BOS token forcing to the logits.\n * @param {bigint[][]} input_ids The input IDs.\n * @param {Tensor} logits The logits.\n * @returns {Tensor} The logits with BOS token forcing.\n */\n _call(input_ids, logits) {\n for (let i = 0; i < input_ids.length; ++i) {\n if (input_ids[i].length === 1) {\n const batch_logits_data = /** @type {Float32Array} */(logits[i].data);\n batch_logits_data.fill(-Infinity);\n batch_logits_data[this.bos_token_id] = 0;\n }\n }\n return logits;\n }\n}\n\n/**\n * A logits processor that enforces the specified token as the last generated token when `max_length` is reached.\n */\nexport class ForcedEOSTokenLogitsProcessor extends LogitsProcessor {\n /**\n * Create a ForcedEOSTokenLogitsProcessor.\n * @param {number} max_length The maximum length of the sequence to be generated.\n * @param {number|number[]} eos_token_id The id(s) of the *end-of-sequence* token.\n */\n constructor(max_length, eos_token_id) {\n super();\n this.max_length = max_length;\n this.eos_token_id = Array.isArray(eos_token_id) ? eos_token_id : [eos_token_id];\n }\n\n /**\n * Apply the processor to input_ids and logits.\n * \n * @param {bigint[][]} input_ids The input ids.\n * @param {Tensor} logits The logits tensor.\n */\n _call(input_ids, logits) {\n for (let i = 0; i < input_ids.length; ++i) {\n if (input_ids[i].length === this.max_length - 1) {\n const batch_logits_data = /** @type {Float32Array} */(logits[i].data);\n batch_logits_data.fill(-Infinity);\n for (const eos_token of this.eos_token_id) {\n batch_logits_data[eos_token] = 0;\n }\n }\n }\n return logits;\n }\n}\n\n/**\n * A LogitsProcessor that suppresses a list of tokens as soon as the `generate` function starts\n * generating using `begin_index` tokens. This should ensure that the tokens defined by\n * `begin_suppress_tokens` at not sampled at the begining of the generation.\n */\nexport class SuppressTokensAtBeginLogitsProcessor extends LogitsProcessor {\n /**\n * Create a SuppressTokensAtBeginLogitsProcessor.\n * @param {number[]} begin_suppress_tokens The IDs of the tokens to suppress.\n * @param {number} begin_index The number of tokens to generate before suppressing tokens.\n */\n constructor(begin_suppress_tokens, begin_index) {\n super();\n this.begin_suppress_tokens = begin_suppress_tokens;\n this.begin_index = begin_index;\n }\n\n /**\n * Apply the BOS token forcing to the logits.\n * @param {bigint[][]} input_ids The input IDs.\n * @param {Tensor} logits The logits.\n * @returns {Tensor} The logits with BOS token forcing.\n */\n _call(input_ids, logits) {\n for (let i = 0; i < input_ids.length; ++i) {\n if (input_ids[i].length === this.begin_index) {\n const batch_logits_data = /** @type {Float32Array} */(logits[i].data);\n for (const token_id of this.begin_suppress_tokens) {\n batch_logits_data[token_id] = -Infinity;\n }\n }\n }\n return logits;\n }\n}\n\n/**\n * A LogitsProcessor that handles adding timestamps to generated text.\n */\nexport class WhisperTimeStampLogitsProcessor extends LogitsProcessor {\n /**\n * Constructs a new WhisperTimeStampLogitsProcessor.\n * @param {import('../models/whisper/generation_whisper.js').WhisperGenerationConfig} generate_config The config object passed to the `generate()` method of a transformer model.\n * @param {number[]} init_tokens The initial tokens of the input sequence.\n */\n constructor(generate_config, init_tokens) {\n super();\n this.eos_token_id =\n Array.isArray(generate_config.eos_token_id)\n ? generate_config.eos_token_id[0]\n : generate_config.eos_token_id;\n\n this.no_timestamps_token_id = generate_config.no_timestamps_token_id;\n this.timestamp_begin = this.no_timestamps_token_id + 1;\n\n this.begin_index = init_tokens.length;\n if (init_tokens.at(-1) === this.no_timestamps_token_id) {\n this.begin_index -= 1;\n }\n this.max_initial_timestamp_index = generate_config.max_initial_timestamp_index;\n }\n\n /**\n * Modify the logits to handle timestamp tokens.\n * @param {bigint[][]} input_ids The input sequence of tokens.\n * @param {Tensor} logits The logits output by the model.\n * @returns {Tensor} The modified logits.\n */\n _call(input_ids, logits) {\n for (let i = 0; i < input_ids.length; ++i) {\n const batch_logits_data = /** @type {Float32Array} */(logits[i].data);\n\n // suppress <|notimestamps|> which is handled by without_timestamps\n batch_logits_data[this.no_timestamps_token_id] = -Infinity;\n\n if (input_ids[i].length === this.begin_index - 1) {\n batch_logits_data.fill(-Infinity);\n batch_logits_data[this.timestamp_begin] = 0;\n continue;\n }\n\n // timestamps have to appear in pairs, except directly before eos_token; mask logits accordingly\n const seq = input_ids[i].slice(this.begin_index);\n const last_was_timestamp = seq.length >= 1 && seq[seq.length - 1] >= this.timestamp_begin;\n const penultimate_was_timestamp = seq.length < 2 || seq[seq.length - 2] >= this.timestamp_begin;\n\n if (last_was_timestamp) {\n if (penultimate_was_timestamp) { // has to be non-timestamp\n batch_logits_data.subarray(this.timestamp_begin).fill(-Infinity);\n } else { // cannot be normal text tokens\n batch_logits_data.subarray(0, this.eos_token_id).fill(-Infinity);\n }\n }\n\n // apply the `max_initial_timestamp` option\n if (input_ids[i].length === this.begin_index && this.max_initial_timestamp_index !== null) {\n const last_allowed = this.timestamp_begin + this.max_initial_timestamp_index;\n batch_logits_data.subarray(last_allowed + 1).fill(-Infinity);\n }\n\n // if sum of probability over timestamps is above any other token, sample timestamp\n const logprobs = log_softmax(batch_logits_data);\n const timestamp_logprob = Math.log(logprobs.subarray(this.timestamp_begin).map(Math.exp).reduce((a, b) => a + b));\n const max_text_token_logprob = max(logprobs.subarray(0, this.timestamp_begin))[0];\n\n if (timestamp_logprob > max_text_token_logprob) {\n batch_logits_data.subarray(0, this.timestamp_begin).fill(-Infinity);\n }\n }\n\n return logits;\n }\n}\n\n/**\n * A logits processor that disallows ngrams of a certain size to be repeated.\n */\nexport class NoRepeatNGramLogitsProcessor extends LogitsProcessor {\n /**\n * Create a NoRepeatNGramLogitsProcessor.\n * @param {number} no_repeat_ngram_size The no-repeat-ngram size. All ngrams of this size can only occur once.\n */\n constructor(no_repeat_ngram_size) {\n super();\n this.no_repeat_ngram_size = no_repeat_ngram_size;\n }\n\n /**\n * Generate n-grams from a sequence of token ids.\n * @param {bigint[]} prevInputIds List of previous input ids\n * @returns {Map<string, number[]>} Map of generated n-grams\n */\n getNgrams(prevInputIds) {\n const curLen = prevInputIds.length;\n\n /**@type {number[][]} */\n const ngrams = [];\n for (let j = 0; j < curLen + 1 - this.no_repeat_ngram_size; ++j) {\n const ngram = [];\n for (let k = 0; k < this.no_repeat_ngram_size; ++k) {\n ngram.push(prevInputIds[j + k]);\n }\n ngrams.push(ngram.map(Number));\n }\n\n /** @type {Map<string, number[]>} */\n const generatedNgram = new Map();\n for (const ngram of ngrams) {\n const prevNgram = ngram.slice(0, ngram.length - 1);\n const prevNgramKey = JSON.stringify(prevNgram);\n const prevNgramValue = generatedNgram.get(prevNgramKey) ?? [];\n prevNgramValue.push(ngram[ngram.length - 1]);\n generatedNgram.set(prevNgramKey, prevNgramValue);\n }\n return generatedNgram;\n }\n\n /**\n * Generate n-grams from a sequence of token ids.\n * @param {Map<string, number[]>} bannedNgrams Map of banned n-grams\n * @param {bigint[]} prevInputIds List of previous input ids\n * @returns {number[]} Map of generated n-grams\n */\n getGeneratedNgrams(bannedNgrams, prevInputIds) {\n const ngramIdx = prevInputIds.slice(prevInputIds.length + 1 - this.no_repeat_ngram_size, prevInputIds.length);\n const banned = bannedNgrams.get(JSON.stringify(ngramIdx.map(Number))) ?? [];\n return banned;\n }\n\n /**\n * Calculate banned n-gram tokens\n * @param {bigint[]} prevInputIds List of previous input ids\n * @returns {number[]} Map of generated n-grams\n */\n calcBannedNgramTokens(prevInputIds) {\n const bannedTokens = [];\n if (prevInputIds.length + 1 < this.no_repeat_ngram_size) {\n // return no banned tokens if we haven't generated no_repeat_ngram_size tokens yet\n return bannedTokens;\n\n } else {\n const generatedNgrams = this.getNgrams(prevInputIds);\n const bannedTokens = this.getGeneratedNgrams(generatedNgrams, prevInputIds);\n return bannedTokens;\n }\n }\n\n /**\n * Apply the no-repeat-ngram processor to the logits.\n * @param {bigint[][]} input_ids The input IDs.\n * @param {Tensor} logits The logits.\n * @returns {Tensor} The logits with no-repeat-ngram processing.\n */\n _call(input_ids, logits) {\n for (let i = 0; i < input_ids.length; ++i) {\n const batch_logits_data = /** @type {Float32Array} */(logits[i].data);\n const bannedTokens = this.calcBannedNgramTokens(input_ids[i]);\n for (const token of bannedTokens) {\n batch_logits_data[token] = -Infinity;\n }\n }\n return logits;\n }\n}\n\n/**\n * A logits processor that prevents the repetition of previous tokens through a penalty.\n * This penalty is applied at most once per token. Note that, for decoder-only models like most LLMs,\n * the considered tokens include the prompt.\n * \n * In the original [paper](https://arxiv.org/pdf/1909.05858.pdf), the authors suggest the use of a\n * penalty of around 1.2 to achieve a good balance between truthful generation and lack of repetition.\n * To penalize and reduce repetition, use `penalty` values above 1.0, where a higher value penalizes\n * more strongly. To reward and encourage repetition, use `penalty` values between 0.0 and 1.0, where\n * a lower value rewards more strongly.\n */\nexport class RepetitionPenaltyLogitsProcessor extends LogitsProcessor {\n /**\n * Create a RepetitionPenaltyLogitsProcessor.\n * @param {number} penalty The parameter for repetition penalty.\n * - 1.0 means no penalty. Above 1.0 penalizes previously generated tokens.\n * - Between 0.0 and 1.0 rewards previously generated tokens.\n */\n constructor(penalty) {\n super();\n this.penalty = penalty;\n }\n\n /**\n * Apply the repetition penalty to the logits.\n * @param {bigint[][]} input_ids The input IDs.\n * @param {Tensor} logits The logits.\n * @returns {Tensor} The logits with repetition penalty processing.\n */\n _call(input_ids, logits) {\n for (let i = 0; i < input_ids.length; ++i) {\n const batch_logits_data = /** @type {Float32Array} */(logits[i].data);\n for (const input_id of new Set(input_ids[i])) {\n const token = Number(input_id);\n if (batch_logits_data[token] < 0) {\n batch_logits_data[token] *= this.penalty;\n } else {\n batch_logits_data[token] /= this.penalty;\n }\n }\n }\n\n return logits\n }\n}\n\n/**\n * A logits processor that enforces a minimum number of tokens.\n */\nexport class MinLengthLogitsProcessor extends LogitsProcessor {\n /**\n * Create a MinLengthLogitsProcessor.\n * @param {number} min_length The minimum length below which the score of `eos_token_id` is set to negative infinity.\n * @param {number|number[]} eos_token_id The ID/IDs of the end-of-sequence token.\n */\n constructor(min_length, eos_token_id) {\n super();\n this.min_length = min_length;\n this.eos_token_id = Array.isArray(eos_token_id) ? eos_token_id : [eos_token_id];\n }\n\n /**\n * Apply logit processor.\n * @param {bigint[][]} input_ids The input IDs.\n * @param {Tensor} logits The logits.\n * @returns {Tensor} The processed logits.\n */\n _call(input_ids, logits) {\n for (let i = 0; i < input_ids.length; ++i) {\n if (input_ids[i].length < this.min_length) {\n const batch_logits_data = /** @type {Float32Array} */(logits[i].data);\n\n for (const eos_token of this.eos_token_id) {\n batch_logits_data[eos_token] = -Infinity;\n }\n }\n }\n\n return logits\n }\n}\n\n/**\n * A logits processor that enforces a minimum number of new tokens.\n */\nexport class MinNewTokensLengthLogitsProcessor extends LogitsProcessor {\n /**\n * Create a MinNewTokensLengthLogitsProcessor.\n * @param {number} prompt_length_to_skip The input tokens length.\n * @param {number} min_new_tokens The minimum *new* tokens length below which the score of `eos_token_id` is set to negative infinity.\n * @param {number|number[]} eos_token_id The ID/IDs of the end-of-sequence token.\n */\n constructor(prompt_length_to_skip, min_new_tokens, eos_token_id) {\n super();\n this.prompt_length_to_skip = prompt_length_to_skip;\n this.min_new_tokens = min_new_tokens;\n this.eos_token_id = Array.isArray(eos_token_id) ? eos_token_id : [eos_token_id];\n }\n\n /**\n * Apply logit processor.\n * @param {bigint[][]} input_ids The input IDs.\n * @param {Tensor} logits The logits.\n * @returns {Tensor} The processed logits.\n */\n _call(input_ids, logits) {\n for (let i = 0; i < input_ids.length; ++i) {\n const new_tokens_length = input_ids[i].length - this.prompt_length_to_skip;\n if (new_tokens_length < this.min_new_tokens) {\n const batch_logits_data = /** @type {Float32Array} */(logits[i].data);\n\n for (const eos_token of this.eos_token_id) {\n batch_logits_data[eos_token] = -Infinity;\n }\n }\n }\n return logits\n }\n}\n\nexport class NoBadWordsLogitsProcessor extends LogitsProcessor {\n /**\n * Create a `NoBadWordsLogitsProcessor`.\n * @param {number[][]} bad_words_ids List of list of token ids that are not allowed to be generated.\n * @param {number|number[]} eos_token_id The id of the *end-of-sequence* token. Optionally, use a list to set multiple *end-of-sequence* tokens.\n */\n constructor(bad_words_ids, eos_token_id) {\n super();\n this.bad_words_ids = bad_words_ids;\n this.eos_token_id = Array.isArray(eos_token_id) ? eos_token_id : [eos_token_id];\n }\n\n /**\n * Apply logit processor.\n * @param {bigint[][]} input_ids The input IDs.\n * @param {Tensor} logits The logits.\n * @returns {Tensor} The processed logits.\n */\n _call(input_ids, logits) {\n for (let i = 0; i < input_ids.length; ++i) {\n const batch_logits_data = /** @type {Float32Array} */(logits[i].data);\n const ids = input_ids[i];\n for (const bad_word_ids of this.bad_words_ids) {\n // Whether to modify the logits of the last token in the bad word id sequence\n let mark = true;\n\n // For each bad word in the list, if the current sequence of input ids ends with this sequence (excluding the last),\n // then we set the logits of the last bad word id to -Infinity.\n for (let j = 1; j <= bad_word_ids.length - 1 && bad_word_ids.length < ids.length; ++j) {\n\n // NOTE: We use != instead of !== to compare bigint and number\n // @ts-ignore\n if (bad_word_ids.at(-j - 1) != ids.at(-j)) {\n // We have found a mismatch\n mark = false;\n break;\n }\n }\n if (mark) {\n batch_logits_data[bad_word_ids.at(-1)] = -Infinity;\n }\n }\n }\n return logits\n }\n}\n\n/**\n * [`LogitsProcessor`] for classifier free guidance (CFG). The scores are split over the batch dimension,\n * where the first half correspond to the conditional logits (predicted from the input prompt) and the second half\n * correspond to the unconditional logits (predicted from an empty or 'null' prompt). The processor computes a\n * weighted average across the conditional and unconditional logits, parameterised by the `guidance_scale`.\n * \n * See [the paper](https://arxiv.org/abs/2306.05284) for more information.\n */\nexport class ClassifierFreeGuidanceLogitsProcessor extends LogitsProcessor {\n\n /**\n * Create a `ClassifierFreeGuidanceLogitsProcessor`.\n * @param {number} guidance_scale The guidance scale for classifier free guidance (CFG). CFG is enabled by setting `guidance_scale > 1`.\n * Higher guidance scale encourages the model to generate samples that are more closely linked to the input\n * prompt, usually at the expense of poorer quality.\n */\n constructor(guidance_scale) {\n super();\n if (guidance_scale <= 1) {\n throw new Error(\n `Require guidance scale >1 to use the classifier free guidance processor, got guidance scale ${guidance_scale}.`\n )\n }\n this.guidance_scale = guidance_scale;\n }\n\n /**\n * Apply logit processor.\n * @param {bigint[][]} input_ids The input IDs.\n * @param {Tensor} logits The logits.\n * @returns {Tensor} The processed logits.\n */\n _call(input_ids, logits) {\n if (logits.dims[0] !== 2 * input_ids.length) {\n throw new Error(\n `Logits should have twice the batch size of the input ids, the first half of batches corresponding to ` +\n `the conditional inputs, and the second half of batches corresponding to the unconditional inputs. Got ` +\n `batch size ${logits.dims[0]} for the logits and ${input_ids.length} for the input ids.`\n )\n }\n\n const unguided_bsz = input_ids.length;\n const cond_logits = logits.slice([0, unguided_bsz], null);\n const uncond_logits = logits.slice([unguided_bsz, logits.dims[0]], null);\n\n // Merge into uncond_logits (to save memory). This is equivalent to the following:\n // scores = uncond_logits + (cond_logits - uncond_logits) * guidance_scale\n for (let i = 0; i < uncond_logits.data.length; ++i) {\n uncond_logits.data[i] += (cond_logits.data[i] - uncond_logits.data[i]) * this.guidance_scale;\n }\n\n return uncond_logits;\n }\n}\n\n/**\n * [`LogitsWarper`] for temperature (exponential scaling output probability distribution), which effectively means\n * that it can control the randomness of the predicted tokens. Often used together with [`TopPLogitsWarper`] and [`TopKLogitsWarper`].\n */\nexport class TemperatureLogitsWarper extends LogitsWarper {\n /**\n * Create a `TemperatureLogitsWarper`.\n * @param {number} temperature Strictly positive float value used to modulate the logits distribution.\n * A value smaller than `1` decreases randomness (and vice versa), with `0` being equivalent to shifting\n * all probability mass to the most likely token.\n */\n constructor(temperature) {\n super();\n\n if (typeof temperature !== 'number' || temperature <= 0) {\n let errorMessage =\n `\\`temperature\\` (=${temperature}) must be a strictly positive float, otherwise your next token scores will be invalid.`;\n\n if (temperature === 0) {\n errorMessage += \" If you're looking for greedy decoding strategies, set `do_sample=false`.\"\n }\n }\n this.temperature = temperature;\n }\n\n /**\n * Apply logit warper.\n * @param {bigint[][]} input_ids The input IDs.\n * @param {Tensor} logits The logits.\n * @returns {Tensor} The processed logits.\n */\n _call(input_ids, logits) {\n const batch_logits_data = /** @type {Float32Array} */(logits.data);\n for (let i = 0; i < batch_logits_data.length; ++i) {\n batch_logits_data[i] /= this.temperature;\n }\n return logits;\n }\n}\n\n/**\n * [`LogitsWarper`] that performs top-p, i.e. restricting to top tokens summing to prob_cut_off <= prob_cut_off.\n * Often used together with [`TemperatureLogitsWarper`] and [`TopKLogitsWarper`].\n */\nexport class TopPLogitsWarper extends LogitsWarper {\n /**\n * Create a `TopPLogitsWarper`.\n * @param {number} top_p If set to < 1, only the smallest set of most probable tokens with\n * probabilities that add up to `top_p` or higher are kept for generation.\n * @param {Object} options Additional options for the top-p sampling.\n * @param {number} [options.filter_value=-Infinity] All filtered values will be set to this float value.\n * @param {number} [options.min_tokens_to_keep=1] Minimum number of tokens that cannot be filtered.\n */\n constructor(top_p, {\n filter_value = -Infinity,\n min_tokens_to_keep = 1,\n } = {}) {\n super();\n if (top_p < 0 || top_p > 1.0) {\n throw new Error(`\\`top_p\\` must be a float > 0 and < 1, but is ${top_p}`)\n }\n if (!Number.isInteger(min_tokens_to_keep) || min_tokens_to_keep < 1) {\n throw new Error(`\\`min_tokens_to_keep\\` must be a positive integer, but is ${min_tokens_to_keep}`)\n }\n\n this.top_p = top_p\n this.filter_value = filter_value\n this.min_tokens_to_keep = min_tokens_to_keep\n }\n}\n\n/**\n * [`LogitsWarper`] that performs top-k, i.e. restricting to the k highest probability elements.\n * Often used together with [`TemperatureLogitsWarper`] and [`TopPLogitsWarper`].\n */\nexport class TopKLogitsWarper extends LogitsWarper {\n /**\n * Create a `TopKLogitsWarper`.\n * @param {number} top_k If set to > 0, only the top `top_k` tokens are kept for generation.\n * @param {Object} options Additional options for the top-k sampling.\n * @param {number} [options.filter_value=-Infinity] All filtered values will be set to this float value.\n * @param {number} [options.min_tokens_to_keep=1] Minimum number of tokens that cannot be filtered.\n */\n constructor(top_k, {\n filter_value = -Infinity,\n min_tokens_to_keep = 1,\n } = {}) {\n super();\n if (!Number.isInteger(top_k) || top_k < 0) {\n throw new Error(`\\`top_k\\` must be a positive integer, but is ${top_k}`)\n }\n\n this.top_k = Math.max(top_k, min_tokens_to_keep)\n this.filter_value = filter_value\n }\n}", "\n/**\n * @module generation/logits_sampler\n */\n\nimport { Callable } from \"../utils/generic.js\";\nimport { Tensor, topk } from \"../utils/tensor.js\";\n\nimport {\n max,\n softmax,\n} from '../utils/maths.js';\nimport { GenerationConfig } from '../generation/configuration_utils.js';\n\n/**\n * Sampler is a base class for all sampling methods used for text generation.\n */\nexport class LogitsSampler extends Callable {\n /**\n * Creates a new Sampler object with the specified generation config.\n * @param {GenerationConfig} generation_config The generation config.\n */\n constructor(generation_config) {\n super();\n this.generation_config = generation_config;\n }\n\n /**\n * Executes the sampler, using the specified logits.\n * @param {Tensor} logits\n * @returns {Promise<[bigint, number][]>}\n */\n async _call(logits) {\n // Sample from logits, of dims [batch, sequence_length, vocab_size].\n // If index is specified, sample from [batch, index, vocab_size].\n return this.sample(logits);\n }\n\n /**\n * Abstract method for sampling the logits.\n * @param {Tensor} logits\n * @throws {Error} If not implemented in subclass.\n * @returns {Promise<[bigint, number][]>}\n */\n async sample(logits) {\n throw Error(\"sample should be implemented in subclasses.\")\n }\n\n /**\n * Returns the specified logits as an array, with temperature applied.\n * @param {Tensor} logits\n * @param {number} index\n * @returns {Float32Array}\n */\n getLogits(logits, index) {\n let vocabSize = logits.dims.at(-1);\n\n let logs = /** @type {Float32Array} */(logits.data);\n\n if (index === -1) {\n logs = logs.slice(-vocabSize);\n } else {\n let startIndex = index * vocabSize;\n logs = logs.slice(startIndex, startIndex + vocabSize);\n }\n return logs;\n }\n\n /**\n * Selects an item randomly based on the specified probabilities.\n * @param {import(\"../transformers.js\").DataArray} probabilities An array of probabilities to use for selection.\n * @returns {number} The index of the selected item.\n */\n randomSelect(probabilities) {\n // Return index of chosen item\n let sumProbabilities = 0;\n for (let i = 0; i < probabilities.length; ++i) {\n sumProbabilities += probabilities[i];\n }\n\n let r = Math.random() * sumProbabilities;\n for (let i = 0; i < probabilities.length; ++i) {\n r -= probabilities[i];\n if (r <= 0) {\n return i;\n }\n }\n return 0; // return first (most probable) as a fallback\n }\n\n /**\n * Returns a Sampler object based on the specified options.\n * @param {GenerationConfig} generation_config An object containing options for the sampler.\n * @returns {LogitsSampler} A Sampler object.\n */\n static getSampler(generation_config) {\n // - *greedy decoding*: `num_beams=1` and `do_sample=False`\n // - *contrastive search*: `penalty_alpha>0` and `top_k>1`\n // - *multinomial sampling*: `num_beams=1` and `do_sample=True`\n // - *beam-search decoding*: `num_beams>1` and `do_sample=False`\n // - *beam-search multinomial sampling*: `num_beams>1` and `do_sample=True`\n // - *diverse beam-search decoding*: `num_beams>1` and `num_beam_groups>1`\n // - *constrained beam-search decoding*: `constraints!=None` or `force_words_ids!=None`\n\n // NOTE: beam search is implemented directly into the generation function\n if (generation_config.do_sample) {\n return new MultinomialSampler(generation_config);\n\n } else if (generation_config.num_beams > 1) {\n return new BeamSearchSampler(generation_config);\n\n } else {\n if (generation_config.num_return_sequences > 1) {\n throw Error(`num_return_sequences has to be 1 when doing greedy search, but is ${generation_config.num_return_sequences}.`)\n }\n return new GreedySampler(generation_config);\n }\n }\n}\n\n/**\n * Class representing a Greedy Sampler.\n */\nclass GreedySampler extends LogitsSampler {\n /**\n * Sample the maximum probability of a given logits tensor.\n * @param {Tensor} logits\n * @returns {Promise<[bigint, number][]>} An array with a single tuple, containing the index of the maximum value and a meaningless score (since this is a greedy search).\n */\n async sample(logits) {\n // NOTE: no need to do log_softmax here since we only take the maximum\n const argmax = max(logits.data)[1];\n\n // Note: score is meaningless in this context, since we are performing\n // greedy search (p = 1 => log(p) = 0)\n return [\n [BigInt(argmax), 0]\n ];\n }\n}\n\n/**\n * Class representing a MultinomialSampler.\n */\nclass MultinomialSampler extends LogitsSampler {\n\n /**\n * Sample from the logits.\n * @param {Tensor} logits\n * @returns {Promise<[bigint, number][]>}\n */\n async sample(logits) {\n let k = logits.dims.at(-1); // defaults to vocab size\n if (this.generation_config.top_k > 0) {\n k = Math.min(this.generation_config.top_k, k);\n }\n\n // Get top k tokens\n const [v, i] = await topk(logits, k);\n\n // Compute softmax over logits\n const probabilities = softmax(/** @type {Float32Array} */(v.data));\n\n return Array.from({ length: this.generation_config.num_beams }, () => {\n const sampledIndex = this.randomSelect(probabilities);\n return [\n i.data[sampledIndex], // token id\n Math.log(probabilities[sampledIndex]), // score\n ];\n });\n }\n}\n\n\n/**\n * Class representing a BeamSearchSampler.\n */\nclass BeamSearchSampler extends LogitsSampler {\n\n /**\n * Sample from the logits.\n * @param {Tensor} logits\n * @returns {Promise<[bigint, number][]>}\n */\n async sample(logits) {\n let k = logits.dims.at(-1); // defaults to vocab size\n if (this.generation_config.top_k > 0) {\n k = Math.min(this.generation_config.top_k, k);\n }\n\n // Get top k tokens\n const [v, i] = await topk(logits, k);\n\n // Compute softmax over logits\n const probabilities = softmax(/** @type {Float32Array} */(v.data));\n\n return Array.from({ length: this.generation_config.num_beams }, (_, x) => {\n return [\n i.data[x], // token id\n Math.log(probabilities[x]), // score\n ];\n });\n }\n}\n", "\n/**\n * @module generation/stopping_criteria\n */\n\nimport { Callable } from \"../utils/generic.js\";\n\n// NOTE:\n// Stopping Criteria returns a list of `batch_size` booleans, indicating whether each sequence in the batch should be stopped.\n\n/**\n * Abstract base class for all stopping criteria that can be applied during generation.\n */\nexport class StoppingCriteria extends Callable {\n /**\n * \n * @param {number[][]} input_ids (`number[][]` of shape `(batch_size, sequence_length)`):\n * Indices of input sequence tokens in the vocabulary.\n * @param {number[][]} scores scores (`number[][]` of shape `(batch_size, config.vocab_size)`):\n * Prediction scores of a language modeling head. These can be scores for each vocabulary token before SoftMax\n * or scores for each vocabulary token after SoftMax.\n * @returns {boolean[]} A list of booleans indicating whether each sequence should be stopped.\n */\n _call(input_ids, scores) {\n throw Error(\"StoppingCriteria needs to be subclassed\");\n }\n}\n/**\n */\nexport class StoppingCriteriaList extends Callable {\n /**\n * Constructs a new instance of `StoppingCriteriaList`.\n */\n constructor() {\n super();\n this.criteria = [];\n }\n\n /**\n * Adds a new stopping criterion to the list.\n *\n * @param {StoppingCriteria} item The stopping criterion to add.\n */\n push(item) {\n this.criteria.push(item);\n }\n\n /**\n * Adds multiple stopping criteria to the list.\n *\n * @param {StoppingCriteria|StoppingCriteriaList|StoppingCriteria[]} items The stopping criteria to add.\n */\n extend(items) {\n if (items instanceof StoppingCriteriaList) {\n items = items.criteria;\n } else if (items instanceof StoppingCriteria) {\n items = [items];\n }\n this.criteria.push(...items);\n }\n\n _call(input_ids, scores) {\n const is_done = new Array(input_ids.length).fill(false);\n for (const criterion of this.criteria) {\n const criterion_done = criterion(input_ids, scores);\n for (let i = 0; i < is_done.length; ++i) {\n is_done[i] ||= criterion_done[i];\n }\n }\n return is_done;\n }\n\n [Symbol.iterator]() {\n return this.criteria.values();\n }\n}\n\n/**\n * This class can be used to stop generation whenever the full generated number of tokens exceeds `max_length`.\n * Keep in mind for decoder-only type of transformers, this will include the initial prompted tokens.\n */\nexport class MaxLengthCriteria extends StoppingCriteria {\n\n /**\n * \n * @param {number} max_length The maximum length that the output sequence can have in number of tokens.\n * @param {number} [max_position_embeddings=null] The maximum model length, as defined by the model's `config.max_position_embeddings` attribute.\n */\n constructor(max_length, max_position_embeddings = null) {\n super();\n this.max_length = max_length;\n this.max_position_embeddings = max_position_embeddings;\n }\n\n _call(input_ids) {\n return input_ids.map(ids => ids.length >= this.max_length);\n }\n}\n\n// TODO: add MaxTimeCriteria\n\n/**\n * This class can be used to stop generation whenever the \"end-of-sequence\" token is generated.\n * By default, it uses the `model.generation_config.eos_token_id`.\n */\nexport class EosTokenCriteria extends StoppingCriteria {\n\n /**\n * \n * @param {number|number[]} eos_token_id The id of the *end-of-sequence* token.\n * Optionally, use a list to set multiple *end-of-sequence* tokens.\n */\n constructor(eos_token_id) {\n super();\n if (!Array.isArray(eos_token_id)) {\n eos_token_id = [eos_token_id];\n }\n this.eos_token_id = eos_token_id;\n }\n\n /**\n * \n * @param {number[][]} input_ids \n * @param {number[][]} scores \n * @returns {boolean[]}\n */\n _call(input_ids, scores) {\n return input_ids.map(ids => {\n const last = ids.at(-1);\n // NOTE: We use == instead of === to allow for number/bigint comparison\n return this.eos_token_id.some(eos_id => last == eos_id);\n });\n }\n}\n\n/**\n * This class can be used to stop generation whenever the user interrupts the process.\n */\nexport class InterruptableStoppingCriteria extends StoppingCriteria {\n constructor() {\n super();\n this.interrupted = false;\n }\n\n interrupt() {\n this.interrupted = true;\n }\n\n reset() {\n this.interrupted = false;\n }\n\n _call(input_ids, scores) {\n return new Array(input_ids.length).fill(this.interrupted);\n }\n}\n", "\n/**\n * @module generation/streamers\n */\n\nimport { mergeArrays } from '../utils/core.js';\nimport { is_chinese_char } from '../tokenizers.js';\nimport { apis } from '../env.js';\n\nexport class BaseStreamer {\n /**\n * Function that is called by `.generate()` to push new tokens\n * @param {bigint[][]} value \n */\n put(value) {\n throw Error('Not implemented');\n }\n\n /**\n * Function that is called by `.generate()` to signal the end of generation\n */\n end() {\n throw Error('Not implemented');\n }\n}\n\nconst stdout_write = apis.IS_PROCESS_AVAILABLE\n ? x => process.stdout.write(x)\n : x => console.log(x);\n\n/**\n * Simple text streamer that prints the token(s) to stdout as soon as entire words are formed.\n */\nexport class TextStreamer extends BaseStreamer {\n /**\n * \n * @param {import('../tokenizers.js').PreTrainedTokenizer} tokenizer\n * @param {Object} options\n * @param {boolean} [options.skip_prompt=false] Whether to skip the prompt tokens\n * @param {boolean} [options.skip_special_tokens=true] Whether to skip special tokens when decoding\n * @param {function(string): void} [options.callback_function=null] Function to call when a piece of text is ready to display\n * @param {function(bigint[]): void} [options.token_callback_function=null] Function to call when a new token is generated\n * @param {Object} [options.decode_kwargs={}] Additional keyword arguments to pass to the tokenizer's decode method\n */\n constructor(tokenizer, {\n skip_prompt = false,\n callback_function = null,\n token_callback_function = null,\n skip_special_tokens = true,\n decode_kwargs = {},\n ...kwargs\n } = {}) {\n super();\n this.tokenizer = tokenizer;\n this.skip_prompt = skip_prompt;\n this.callback_function = callback_function ?? stdout_write;\n this.token_callback_function = token_callback_function;\n this.decode_kwargs = { skip_special_tokens, ...decode_kwargs, ...kwargs };\n\n // variables used in the streaming process\n this.token_cache = [];\n this.print_len = 0;\n this.next_tokens_are_prompt = true;\n }\n\n /**\n * Receives tokens, decodes them, and prints them to stdout as soon as they form entire words.\n * @param {bigint[][]} value \n */\n put(value) {\n if (value.length > 1) {\n throw Error('TextStreamer only supports batch size of 1');\n }\n\n if (this.skip_prompt && this.next_tokens_are_prompt) {\n this.next_tokens_are_prompt = false;\n return;\n }\n\n const tokens = value[0];\n this.token_callback_function?.(tokens)\n\n // Add the new token to the cache and decodes the entire thing.\n this.token_cache = mergeArrays(this.token_cache, tokens);\n const text = this.tokenizer.decode(this.token_cache, this.decode_kwargs);\n\n let printable_text;\n if (text.endsWith('\\n')) {\n // After the symbol for a new line, we flush the cache.\n printable_text = text.slice(this.print_len);\n this.token_cache = [];\n this.print_len = 0;\n } else if (text.length > 0 && is_chinese_char(text.charCodeAt(text.length - 1))) {\n // If the last token is a CJK character, we print the characters.\n printable_text = text.slice(this.print_len);\n this.print_len += printable_text.length;\n } else {\n // Otherwise, prints until the last space char (simple heuristic to avoid printing incomplete words,\n // which may change with the subsequent token -- there are probably smarter ways to do this!)\n printable_text = text.slice(this.print_len, text.lastIndexOf(' ') + 1);\n this.print_len += printable_text.length;\n }\n\n this.on_finalized_text(printable_text, false);\n }\n\n /**\n * Flushes any remaining cache and prints a newline to stdout.\n */\n end() {\n let printable_text;\n if (this.token_cache.length > 0) {\n const text = this.tokenizer.decode(this.token_cache, this.decode_kwargs);\n printable_text = text.slice(this.print_len);\n this.token_cache = [];\n this.print_len = 0;\n } else {\n printable_text = '';\n }\n this.next_tokens_are_prompt = true;\n this.on_finalized_text(printable_text, true);\n }\n\n /**\n * Prints the new text to stdout. If the stream is ending, also prints a newline.\n * @param {string} text \n * @param {boolean} stream_end \n */\n on_finalized_text(text, stream_end) {\n if (text.length > 0) {\n this.callback_function?.(text);\n }\n if (stream_end && this.callback_function === stdout_write && apis.IS_PROCESS_AVAILABLE) {\n this.callback_function?.('\\n');\n }\n }\n}\n\n/**\n * Utility class to handle streaming of tokens generated by whisper speech-to-text models.\n * Callback functions are invoked when each of the following events occur:\n * - A new chunk starts (on_chunk_start)\n * - A new token is generated (callback_function)\n * - A chunk ends (on_chunk_end)\n * - The stream is finalized (on_finalize)\n */\nexport class WhisperTextStreamer extends TextStreamer {\n /**\n * @param {import('../tokenizers.js').WhisperTokenizer} tokenizer\n * @param {Object} options\n * @param {boolean} [options.skip_prompt=false] Whether to skip the prompt tokens\n * @param {function(string): void} [options.callback_function=null] Function to call when a piece of text is ready to display\n * @param {function(bigint[]): void} [options.token_callback_function=null] Function to call when a new token is generated\n * @param {function(number): void} [options.on_chunk_start=null] Function to call when a new chunk starts\n * @param {function(number): void} [options.on_chunk_end=null] Function to call when a chunk ends\n * @param {function(): void} [options.on_finalize=null] Function to call when the stream is finalized\n * @param {number} [options.time_precision=0.02] Precision of the timestamps\n * @param {boolean} [options.skip_special_tokens=true] Whether to skip special tokens when decoding\n * @param {Object} [options.decode_kwargs={}] Additional keyword arguments to pass to the tokenizer's decode method\n */\n constructor(tokenizer, {\n skip_prompt = false,\n callback_function = null,\n token_callback_function = null,\n on_chunk_start = null,\n on_chunk_end = null,\n on_finalize = null,\n time_precision = 0.02,\n skip_special_tokens = true,\n decode_kwargs = {},\n } = {}) {\n super(tokenizer, {\n skip_prompt,\n skip_special_tokens,\n callback_function,\n token_callback_function,\n decode_kwargs,\n });\n this.timestamp_begin = tokenizer.timestamp_begin;\n\n this.on_chunk_start = on_chunk_start;\n this.on_chunk_end = on_chunk_end;\n this.on_finalize = on_finalize;\n\n this.time_precision = time_precision;\n\n this.waiting_for_timestamp = false;\n }\n\n /**\n * @param {bigint[][]} value \n */\n put(value) {\n if (value.length > 1) {\n throw Error('WhisperTextStreamer only supports batch size of 1');\n }\n const tokens = value[0];\n\n // Check if the token is a timestamp\n if (tokens.length === 1) {\n const offset = Number(tokens[0]) - this.timestamp_begin;\n if (offset >= 0) {\n const time = offset * this.time_precision;\n if (this.waiting_for_timestamp) {\n this.on_chunk_end?.(time);\n } else {\n this.on_chunk_start?.(time);\n }\n this.waiting_for_timestamp = !this.waiting_for_timestamp; // Toggle\n value = [[]]; // Skip timestamp\n }\n }\n return super.put(value);\n }\n\n end() {\n super.end();\n this.on_finalize?.();\n }\n}\n", "\n/**\n * @file Definitions of all models available in Transformers.js.\n * \n * **Example:** Load and run an `AutoModel`.\n * \n * ```javascript\n * import { AutoModel, AutoTokenizer } from '@huggingface/transformers';\n * \n * let tokenizer = await AutoTokenizer.from_pretrained('Xenova/bert-base-uncased');\n * let model = await AutoModel.from_pretrained('Xenova/bert-base-uncased');\n * \n * let inputs = await tokenizer('I love transformers!');\n * let { logits } = await model(inputs);\n * // Tensor {\n * // data: Float32Array(183132) [-7.117443084716797, -7.107812881469727, -7.092104911804199, ...]\n * // dims: (3) [1, 6, 30522],\n * // type: \"float32\",\n * // size: 183132,\n * // }\n * ```\n * \n * We also provide other `AutoModel`s (listed below), which you can use in the same way as the Python library. For example:\n * \n * **Example:** Load and run an `AutoModelForSeq2SeqLM`.\n * ```javascript\n * import { AutoModelForSeq2SeqLM, AutoTokenizer } from '@huggingface/transformers';\n * \n * let tokenizer = await AutoTokenizer.from_pretrained('Xenova/t5-small');\n * let model = await AutoModelForSeq2SeqLM.from_pretrained('Xenova/t5-small');\n * \n * let { input_ids } = await tokenizer('translate English to German: I love transformers!');\n * let outputs = await model.generate(input_ids);\n * let decoded = tokenizer.decode(outputs[0], { skip_special_tokens: true });\n * // 'Ich liebe Transformatoren!'\n * ```\n * \n * @module models\n */\n\nimport {\n AutoConfig,\n getKeyValueShapes,\n} from './configs.js';\n\nimport {\n deviceToExecutionProviders,\n createInferenceSession,\n isONNXTensor,\n isONNXProxy,\n} from './backends/onnx.js';\nimport {\n DATA_TYPES,\n DEFAULT_DEVICE_DTYPE_MAPPING,\n DEFAULT_DTYPE_SUFFIX_MAPPING,\n isWebGpuFp16Supported,\n} from './utils/dtypes.js';\n\nimport {\n Callable,\n} from './utils/generic.js';\n\nimport {\n mergeArrays,\n pick,\n} from './utils/core.js';\n\nimport {\n getModelFile,\n getModelJSON,\n} from './utils/hub.js';\n\nimport {\n GITHUB_ISSUE_URL,\n} from './utils/constants.js';\n\nimport {\n LogitsProcessorList,\n ForcedBOSTokenLogitsProcessor,\n ForcedEOSTokenLogitsProcessor,\n SuppressTokensAtBeginLogitsProcessor,\n WhisperTimeStampLogitsProcessor,\n NoRepeatNGramLogitsProcessor,\n RepetitionPenaltyLogitsProcessor,\n NoBadWordsLogitsProcessor,\n MinLengthLogitsProcessor,\n MinNewTokensLengthLogitsProcessor,\n\n TemperatureLogitsWarper,\n TopKLogitsWarper,\n TopPLogitsWarper,\n ClassifierFreeGuidanceLogitsProcessor,\n} from './generation/logits_process.js';\n\nimport {\n GenerationConfig,\n} from './generation/configuration_utils.js';\n\nimport {\n cat,\n mean,\n zeros,\n zeros_like,\n ones,\n ones_like,\n full,\n full_like,\n stack,\n std_mean,\n Tensor,\n} from './utils/tensor.js';\nimport { RawImage } from './utils/image.js';\n\nimport { dynamic_time_warping, max, medianFilter } from './utils/maths.js';\nimport { EosTokenCriteria, MaxLengthCriteria, StoppingCriteriaList } from './generation/stopping_criteria.js';\nimport { LogitsSampler } from './generation/logits_sampler.js';\nimport { apis } from './env.js';\n\nimport { WhisperGenerationConfig } from './models/whisper/generation_whisper.js';\nimport { whisper_language_to_code } from './models/whisper/common_whisper.js';\n\n//////////////////////////////////////////////////\n// Model types: used internally\nconst MODEL_TYPES = {\n EncoderOnly: 0,\n EncoderDecoder: 1,\n Seq2Seq: 2,\n Vision2Seq: 3,\n DecoderOnly: 4,\n MaskGeneration: 5,\n ImageTextToText: 6,\n Musicgen: 7,\n MultiModality: 8,\n Phi3V: 9,\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Helper functions\n\n// NOTE: These will be populated fully later\nconst MODEL_TYPE_MAPPING = new Map();\nconst MODEL_NAME_TO_CLASS_MAPPING = new Map();\nconst MODEL_CLASS_TO_NAME_MAPPING = new Map();\n\n\n/**\n * Constructs an InferenceSession using a model file located at the specified path.\n * @param {string} pretrained_model_name_or_path The path to the directory containing the model file.\n * @param {string} fileName The name of the model file.\n * @param {import('./utils/hub.js').PretrainedModelOptions} options Additional options for loading the model.\n * @returns {Promise<{buffer: Uint8Array, session_options: Object, session_config: Object}>} A Promise that resolves to the data needed to create an InferenceSession object.\n * @private\n */\nasync function getSession(pretrained_model_name_or_path, fileName, options) {\n const custom_config = options.config?.['transformers.js_config'] ?? {};\n let device = options.device ?? custom_config.device;\n if (device && typeof device !== 'string') {\n if (device.hasOwnProperty(fileName)) {\n device = device[fileName];\n } else {\n console.warn(`device not specified for \"${fileName}\". Using the default device.`);\n device = null;\n }\n }\n\n // If the device is not specified, we use the default (supported) execution providers.\n const selectedDevice = /** @type {import(\"./utils/devices.js\").DeviceType} */(\n device ?? (apis.IS_NODE_ENV ? 'cpu' : 'wasm')\n );\n const executionProviders = deviceToExecutionProviders(selectedDevice);\n\n // If options.dtype is specified, we use it to choose the suffix for the model file.\n // Otherwise, we use the default dtype for the device.\n let dtype = options.dtype ?? custom_config.dtype;\n if (typeof dtype !== 'string') {\n if (dtype && dtype.hasOwnProperty(fileName)) {\n dtype = dtype[fileName];\n } else {\n dtype = DEFAULT_DEVICE_DTYPE_MAPPING[selectedDevice] ?? DATA_TYPES.fp32;\n console.warn(`dtype not specified for \"${fileName}\". Using the default dtype (${dtype}) for this device (${selectedDevice}).`);\n }\n }\n\n if (dtype === DATA_TYPES.auto) {\n // Try to choose the auto dtype based on the custom config\n let config_dtype = custom_config.dtype;\n if (typeof config_dtype !== 'string') {\n config_dtype = config_dtype[fileName];\n }\n\n if (config_dtype && config_dtype !== DATA_TYPES.auto && DATA_TYPES.hasOwnProperty(config_dtype)) {\n // Defined by the custom config, and is not \"auto\"\n dtype = config_dtype;\n } else {\n // Choose default dtype based on device, falling back to fp32\n dtype = DEFAULT_DEVICE_DTYPE_MAPPING[selectedDevice] ?? DATA_TYPES.fp32;\n }\n }\n\n const selectedDtype = /** @type {import(\"./utils/dtypes.js\").DataType} */(dtype);\n\n if (!DEFAULT_DTYPE_SUFFIX_MAPPING.hasOwnProperty(selectedDtype)) {\n throw new Error(`Invalid dtype: ${selectedDtype}. Should be one of: ${Object.keys(DATA_TYPES).join(', ')}`);\n } else if (selectedDtype === DATA_TYPES.fp16 && selectedDevice === 'webgpu' && !(await isWebGpuFp16Supported())) {\n throw new Error(`The device (${selectedDevice}) does not support fp16.`);\n }\n\n // Only valid for models with a decoder\n const kv_cache_dtype = custom_config.kv_cache_dtype\n ? (typeof custom_config.kv_cache_dtype === 'string'\n ? custom_config.kv_cache_dtype\n : custom_config.kv_cache_dtype[selectedDtype] ?? 'float32')\n : undefined;\n\n if (kv_cache_dtype && !['float32', 'float16'].includes(kv_cache_dtype)) {\n throw new Error(`Invalid kv_cache_dtype: ${kv_cache_dtype}. Should be one of: float32, float16`);\n }\n\n const session_config = {\n dtype: selectedDtype,\n kv_cache_dtype,\n }\n\n // Construct the model file name\n const suffix = DEFAULT_DTYPE_SUFFIX_MAPPING[selectedDtype];\n const modelFileName = `${options.subfolder ?? ''}/${fileName}${suffix}.onnx`;\n\n const session_options = { ...options.session_options };\n\n // Overwrite `executionProviders` if not specified\n session_options.executionProviders ??= executionProviders;\n\n // Overwrite `freeDimensionOverrides` if specified in config and not set in session options\n const free_dimension_overrides = custom_config.free_dimension_overrides;\n if (free_dimension_overrides) {\n session_options.freeDimensionOverrides ??= free_dimension_overrides;\n } else if (selectedDevice.startsWith('webnn') && !session_options.freeDimensionOverrides) {\n console.warn(\n 'WebNN does not currently support dynamic shapes and requires `free_dimension_overrides` to be set in config.json as a field within \"transformers.js_config\". ' +\n 'When `free_dimension_overrides` is not set, you may experience significant performance degradation.'\n );\n }\n\n const bufferPromise = getModelFile(pretrained_model_name_or_path, modelFileName, true, options);\n\n // handle onnx external data files\n const use_external_data_format = options.use_external_data_format ?? custom_config.use_external_data_format;\n /** @type {Promise<{path: string, data: Uint8Array}>[]} */\n let externalDataPromises = [];\n if (use_external_data_format && (\n use_external_data_format === true ||\n (\n typeof use_external_data_format === 'object' &&\n use_external_data_format.hasOwnProperty(fileName) &&\n use_external_data_format[fileName] === true\n )\n )) {\n if (apis.IS_NODE_ENV) {\n throw new Error('External data format is not yet supported in Node.js');\n }\n const path = `${fileName}${suffix}.onnx_data`;\n const fullPath = `${options.subfolder ?? ''}/${path}`;\n externalDataPromises.push(new Promise(async (resolve, reject) => {\n const data = await getModelFile(pretrained_model_name_or_path, fullPath, true, options);\n resolve({ path, data })\n }));\n\n } else if (session_options.externalData !== undefined) {\n externalDataPromises = session_options.externalData.map(async (ext) => {\n // if the external data is a string, fetch the file and replace the string with its content\n // @ts-expect-error TS2339\n if (typeof ext.data === \"string\") {\n // @ts-expect-error TS2339\n const ext_buffer = await getModelFile(pretrained_model_name_or_path, ext.data, true, options);\n // @ts-expect-error TS2698\n return { ...ext, data: ext_buffer };\n }\n return ext;\n });\n }\n\n if (externalDataPromises.length > 0) {\n session_options.externalData = await Promise.all(externalDataPromises);\n }\n\n if (selectedDevice === 'webgpu') {\n const shapes = getKeyValueShapes(options.config, {\n prefix: 'present',\n });\n if (Object.keys(shapes).length > 0 && !isONNXProxy()) {\n // Only set preferredOutputLocation if shapes are present and we aren't proxying ONNX\n /** @type {Record<string, import('onnxruntime-common').Tensor.DataLocation>} */\n const preferredOutputLocation = {};\n for (const key in shapes) {\n preferredOutputLocation[key] = 'gpu-buffer';\n }\n session_options.preferredOutputLocation = preferredOutputLocation;\n }\n }\n\n const buffer = await bufferPromise;\n\n return { buffer, session_options, session_config };\n}\n\n/**\n * Helper function to create multiple InferenceSession objects.\n * \n * @param {string} pretrained_model_name_or_path The path to the directory containing the model file.\n * @param {Record<string, string>} names The names of the model files to load.\n * @param {import('./utils/hub.js').PretrainedModelOptions} options Additional options for loading the model.\n * @returns {Promise<Record<string, any>>} A Promise that resolves to a dictionary of InferenceSession objects.\n * @private\n */\nasync function constructSessions(pretrained_model_name_or_path, names, options) {\n return Object.fromEntries(await Promise.all(\n Object.keys(names).map(async (name) => {\n const { buffer, session_options, session_config } = await getSession(pretrained_model_name_or_path, names[name], options);\n const session = await createInferenceSession(buffer, session_options, session_config);\n return [name, session];\n })\n ));\n}\n\n/**\n * Helper function to load multiple optional configuration files\n * @param {string} pretrained_model_name_or_path The path to the directory containing the config file.\n * @param {Record<string, string>} names The names of the config files to load.\n * @param {import('./utils/hub.js').PretrainedModelOptions} options Additional options for loading the configs.\n * @returns {Promise<Record<string, any>>} A Promise that resolves to a dictionary of configuration objects.\n * @private\n */\nasync function getOptionalConfigs(pretrained_model_name_or_path, names, options) {\n return Object.fromEntries(await Promise.all(\n Object.keys(names).map(async (name) => {\n const config = await getModelJSON(pretrained_model_name_or_path, names[name], false, options);\n return [name, config];\n })\n ));\n}\n\n/**\n * Validate model inputs\n * @param {Object} session The InferenceSession object that will be run.\n * @param {Object} inputs The inputs to check.\n * @returns {Record<string, Tensor>} The checked inputs.\n * @throws {Error} If any inputs are missing.\n * @private\n */\nfunction validateInputs(session, inputs) {\n /**\n * NOTE: Create either a shallow or deep copy based on `onnx.wasm.proxy`\n * @type {Record<string, Tensor>}\n */\n const checkedInputs = Object.create(null);\n const missingInputs = [];\n for (const inputName of session.inputNames) {\n const tensor = inputs[inputName];\n // Rare case where one of the model's input names corresponds to a built-in\n // object name (e.g., toString), which would cause a simple (!tensor) check to fail,\n // because it's not undefined but a function.\n if (!(tensor instanceof Tensor)) {\n missingInputs.push(inputName);\n continue;\n }\n // NOTE: When `env.wasm.proxy is true` the tensor is moved across the Worker\n // boundary, transferring ownership to the worker and invalidating the tensor.\n // So, in this case, we simply sacrifice a clone for it.\n checkedInputs[inputName] = isONNXProxy() ? tensor.clone() : tensor;\n }\n if (missingInputs.length > 0) {\n throw new Error(\n `An error occurred during model execution: \"Missing the following inputs: ${missingInputs.join(', ')}.`);\n }\n\n const numInputsProvided = Object.keys(inputs).length;\n const numInputsNeeded = session.inputNames.length;\n if (numInputsProvided > numInputsNeeded) {\n // No missing inputs, but too many inputs were provided.\n // Warn the user and ignore the extra inputs.\n let ignored = Object.keys(inputs).filter(inputName => !session.inputNames.includes(inputName));\n console.warn(`WARNING: Too many inputs were provided (${numInputsProvided} > ${numInputsNeeded}). The following inputs will be ignored: \"${ignored.join(', ')}\".`);\n }\n\n return checkedInputs;\n}\n\n/**\n * Executes an InferenceSession using the specified inputs.\n * NOTE: `inputs` must contain at least the input names of the model.\n * - If additional inputs are passed, they will be ignored.\n * - If inputs are missing, an error will be thrown.\n * \n * @param {Object} session The InferenceSession object to run.\n * @param {Object} inputs An object that maps input names to input tensors.\n * @returns {Promise<Object>} A Promise that resolves to an object that maps output names to output tensors.\n * @private\n */\nasync function sessionRun(session, inputs) {\n const checkedInputs = validateInputs(session, inputs);\n try {\n // pass the original ort tensor\n const ortFeed = Object.fromEntries(Object.entries(checkedInputs).map(([k, v]) => [k, v.ort_tensor]));\n let output = await session.run(ortFeed);\n output = replaceTensors(output);\n return output;\n } catch (e) {\n // Error messages can be long (nested) and uninformative. For this reason,\n // we apply minor formatting to show the most important information\n const formatted = Object.fromEntries(Object.entries(checkedInputs)\n .map(([k, { type, dims, data }]) => [k, {\n // Extract these properties from the underlying ORT tensor\n type, dims, data,\n }]));\n\n // This usually occurs when the inputs are of the wrong type.\n console.error(`An error occurred during model execution: \"${e}\".`);\n console.error('Inputs given to model:', formatted);\n throw e;\n }\n}\n\n/**\n * Replaces ONNX Tensor objects with custom Tensor objects to support additional functions.\n * @param {Object} obj The object to replace tensor objects in.\n * @returns {Object} The object with tensor objects replaced by custom Tensor objects.\n * @private\n */\nfunction replaceTensors(obj) {\n for (let prop in obj) {\n if (isONNXTensor(obj[prop])) {\n obj[prop] = new Tensor(obj[prop]);\n } else if (typeof obj[prop] === 'object') {\n replaceTensors(obj[prop]);\n }\n }\n return obj;\n}\n\n\n/**\n * Converts an array or Tensor of integers to an int64 Tensor.\n * @param {any[]|Tensor} items The input integers to be converted.\n * @returns {Tensor} The int64 Tensor with the converted values.\n * @throws {Error} If the input array is empty or the input is a batched Tensor and not all sequences have the same length.\n * @private\n */\nfunction toI64Tensor(items) {\n if (items instanceof Tensor) {\n return items;\n }\n // items is an array\n if (items.length === 0) {\n throw Error(\"items must be non-empty\");\n }\n\n if (Array.isArray(items[0])) {\n // batched\n if (items.some(x => x.length !== items[0].length)) {\n throw Error(\"Unable to create tensor, you should probably activate truncation and/or padding with 'padding=True' and/or 'truncation=True' to have batched tensors with the same length.\")\n }\n\n return new Tensor('int64',\n BigInt64Array.from(items.flat().map(x => BigInt(x))),\n [items.length, items[0].length]\n );\n } else {\n //flat\n return new Tensor('int64',\n BigInt64Array.from(items.map(x => BigInt(x))),\n [1, items.length]\n );\n }\n}\n\n/**\n * Creates a boolean tensor with a single value.\n * @param {boolean} value The value of the tensor.\n * @returns {Tensor} The boolean tensor.\n * @private\n */\nfunction boolTensor(value) {\n return new Tensor('bool', [value], [1]);\n}\n\n// JS doesn't support mixins, so we define some reused functions here, and allow \"this\" to be passed in\n/**\n * Perform forward pass on the seq2seq model (both encoder and decoder).\n * @param {Object} self The seq2seq model object.\n * @param {Object} model_inputs The input object for the model containing encoder and decoder inputs.\n * @returns {Promise<Seq2SeqLMOutput>} Promise that resolves with the output of the seq2seq model.\n * @private\n */\nasync function seq2seqForward(self, model_inputs) {\n let { encoder_outputs, input_ids, decoder_input_ids, ...other_decoder_inputs } = model_inputs;\n // Encode if needed\n if (!encoder_outputs) {\n const encoder_inputs = pick(model_inputs, self.sessions['model'].inputNames);\n // Encoder outputs are not given, so we must compute them.\n encoder_outputs = (await encoderForward(self, encoder_inputs)).last_hidden_state;\n }\n\n other_decoder_inputs.input_ids = decoder_input_ids;\n other_decoder_inputs.encoder_hidden_states = encoder_outputs;\n\n if (self.sessions['decoder_model_merged'].inputNames.includes('encoder_attention_mask')) {\n other_decoder_inputs.encoder_attention_mask = model_inputs.attention_mask\n }\n\n const decoderResults = await decoderForward(self, other_decoder_inputs, true);\n\n return decoderResults;\n}\n\n/**\n * Forward pass of an encoder model.\n * @param {Object} self The encoder model.\n * @param {Object} model_inputs The input data to be used for the forward pass.\n * @returns {Promise<Object>} The model's outputs.\n * @private\n */\nasync function encoderForward(self, model_inputs) {\n const session = self.sessions['model'];\n const encoderFeeds = pick(model_inputs, session.inputNames);\n\n if (session.inputNames.includes('inputs_embeds') && !encoderFeeds.inputs_embeds) {\n if (!model_inputs.input_ids) {\n throw new Error('Both `input_ids` and `inputs_embeds` are missing in the model inputs.');\n }\n encoderFeeds.inputs_embeds = await self.encode_text({ input_ids: model_inputs.input_ids });\n }\n if (session.inputNames.includes('token_type_ids') && !encoderFeeds.token_type_ids) {\n if (!encoderFeeds.input_ids) {\n throw new Error('Both `input_ids` and `token_type_ids` are missing in the model inputs.');\n }\n // Assign default `token_type_ids` (all zeroes) to the `encoderFeeds` if the model expects it,\n // but they weren't created by the tokenizer.\n encoderFeeds.token_type_ids = zeros_like(encoderFeeds.input_ids);\n }\n if (session.inputNames.includes('pixel_mask') && !encoderFeeds.pixel_mask) {\n if (!encoderFeeds.pixel_values) {\n throw new Error('Both `pixel_values` and `pixel_mask` are missing in the model inputs.');\n }\n // Assign default `pixel_mask` (all ones) to the `encoderFeeds` if the model expects it,\n // but they weren't created by the processor.\n const dims = encoderFeeds.pixel_values.dims;\n encoderFeeds.pixel_mask = ones([dims[0], dims[2], dims[3]]);\n }\n \n return await sessionRun(session, encoderFeeds);\n}\n\n/**\n * Forward pass of a decoder model.\n * @param {Object} self The decoder model.\n * @param {Object} model_inputs The input data to be used for the forward pass.\n * @returns {Promise<Object>} The logits and past key values.\n * @private\n */\nasync function decoderForward(self, model_inputs, is_encoder_decoder = false) {\n\n const session = self.sessions[\n is_encoder_decoder ? 'decoder_model_merged' : 'model'\n ]\n\n const { past_key_values, ...new_model_inputs } = model_inputs;\n\n if (session.inputNames.includes('use_cache_branch')) {\n new_model_inputs.use_cache_branch = boolTensor(!!past_key_values);\n }\n if (session.inputNames.includes('position_ids') && new_model_inputs.attention_mask && !new_model_inputs.position_ids) {\n // NOTE: Handle a special case for paligemma models, where positions are 1-indexed\n const start_index = self.config.model_type === 'paligemma' ? 1 : 0;\n new_model_inputs.position_ids = createPositionIds(new_model_inputs, past_key_values, start_index);\n }\n\n // Unpack the `past_key_values` object into model inputs\n self.addPastKeyValues(new_model_inputs, past_key_values);\n\n // Select only the inputs that are needed for the current session\n const fixed = pick(new_model_inputs, session.inputNames);\n return await sessionRun(session, fixed);\n}\n\n\n\nfunction default_merge_input_ids_with_image_features({\n image_token_id,\n inputs_embeds,\n image_features,\n input_ids,\n attention_mask,\n}) {\n const image_tokens = input_ids.tolist().map(ids =>\n ids.reduce((acc, x, idx) => {\n if (x == image_token_id) acc.push(idx);\n return acc;\n }, [])\n );\n const n_image_tokens = image_tokens.reduce((acc, x) => acc + x.length, 0);\n const n_image_features = image_features.dims[0];\n if (n_image_tokens !== n_image_features) {\n throw new Error(`Image features and image tokens do not match: tokens: ${n_image_tokens}, features ${n_image_features}`);\n }\n\n // Equivalent to performing a masked_scatter\n let img = 0;\n for (let i = 0; i < image_tokens.length; ++i) {\n const tokens = image_tokens[i];\n const embeds = inputs_embeds[i];\n for (let j = 0; j < tokens.length; ++j) {\n embeds[tokens[j]].data.set(image_features[img++].data)\n }\n }\n return { inputs_embeds, attention_mask }\n}\n\n\n/**\n * Forward pass of an image-text-to-text model.\n * @param {Object} self The image-text-to-text model model.\n * @param {Object} model_inputs The input data to be used for the forward pass.\n * @param {Tensor} [model_inputs.input_ids=null]\n * @param {Tensor} [model_inputs.attention_mask=null]\n * @param {Tensor} [model_inputs.pixel_values=null]\n * @param {Tensor} [model_inputs.position_ids=null]\n * @param {Tensor} [model_inputs.inputs_embeds=null]\n * @param {Tensor} [model_inputs.past_key_values=null]\n * @param {Object} [model_inputs.generation_config=null]\n * @param {Object} [model_inputs.logits_processor=null]\n * @returns {Promise<Tensor>} The model's output tensor\n * @private\n */\nasync function imageTextToTextForward(self, {\n // Produced by the tokenizer/processor:\n input_ids = null,\n attention_mask = null,\n pixel_values = null,\n\n // Used during generation:\n position_ids = null,\n inputs_embeds = null,\n past_key_values = null,\n\n // Generic generation parameters\n generation_config = null,\n logits_processor = null,\n\n // TODO: needed?\n ...kwargs\n}) {\n\n if (!inputs_embeds) {\n // 1. Extract the input embeddings\n inputs_embeds = await self.encode_text({ input_ids, ...kwargs });\n\n // 2. Possibly, merge text and images\n if (pixel_values && input_ids.dims[1] !== 1) {\n const image_features = await self.encode_image({ pixel_values, ...kwargs });\n\n ({ inputs_embeds, attention_mask } = self._merge_input_ids_with_image_features({\n image_features,\n inputs_embeds,\n input_ids,\n attention_mask,\n }));\n\n } else if (past_key_values && pixel_values && input_ids.dims[1] === 1) {\n // This is the case when we are generating with cache\n const target_length = input_ids.dims[1]; // always 1\n const past_length = Object.values(past_key_values)[0].dims.at(-2);\n\n attention_mask = cat([\n ones([input_ids.dims[0], past_length]),\n attention_mask.slice(null, [attention_mask.dims[1] - target_length, attention_mask.dims[1]]),\n ], 1);\n }\n }\n\n if (!position_ids) {\n\n if (self.config.model_type === 'qwen2_vl') {\n // Special case for qwen2_vl models\n // @ts-ignore\n const { image_grid_thw, video_grid_thw } = kwargs;\n [position_ids] = self.get_rope_index(input_ids, image_grid_thw, video_grid_thw, attention_mask)\n }\n }\n\n const outputs = await decoderForward(self, {\n inputs_embeds,\n past_key_values,\n attention_mask,\n position_ids,\n generation_config,\n logits_processor,\n }, true);\n return outputs;\n}\n\n/**\n * Helper function to perform the following:\n * ```python\n * x = attention_mask.long().cumsum(-1) - 1\n * x.masked_fill_(attention_mask == 0, 1)\n * ```\n * @param {Tensor} attention_mask\n * @returns {{data: BigInt64Array, dims: number[]}}\n */\nfunction cumsum_masked_fill(attention_mask, start_index = 0) {\n const [bz, seq_len] = attention_mask.dims;\n const attn_mask_data = attention_mask.data;\n\n const data = new BigInt64Array(attn_mask_data.length);\n for (let i = 0; i < bz; ++i) {\n const start = i * seq_len;\n let sum = BigInt(start_index);\n for (let j = 0; j < seq_len; ++j) {\n const index = start + j;\n if (attn_mask_data[index] === 0n) {\n data[index] = BigInt(1);\n } else { // === 1n\n data[index] = sum;\n sum += attn_mask_data[index];\n }\n }\n }\n return { data, dims: attention_mask.dims };\n\n}\n\n/**\n * If the model supports providing position_ids, we create position_ids on the fly for batch generation,\n * by computing the cumulative sum of the attention mask along the sequence length dimension.\n * \n * Equivalent to:\n * ```python\n * position_ids = attention_mask.long().cumsum(-1) - 1\n * position_ids.masked_fill_(attention_mask == 0, 1)\n * if past_key_values:\n * position_ids = position_ids[:, -input_ids.shape[1] :]\n * ```\n */\nfunction createPositionIds(model_inputs, past_key_values = null, start_index = 0) {\n const { input_ids, inputs_embeds, attention_mask } = model_inputs;\n\n const { data, dims } = cumsum_masked_fill(attention_mask, start_index);\n let position_ids = new Tensor('int64', data, dims);\n if (past_key_values) {\n const offset = -(input_ids ?? inputs_embeds).dims.at(1);\n position_ids = position_ids.slice(null, [offset, null]);\n }\n return position_ids;\n}\n\nfunction decoder_prepare_inputs_for_generation(self, input_ids, model_inputs, generation_config) {\n if (model_inputs.past_key_values) {\n const past_length = Object.values(model_inputs.past_key_values)[0].dims.at(-2);\n const { input_ids, attention_mask } = model_inputs;\n\n // Keep only the unprocessed tokens:\n // 1 - If the length of the attention_mask exceeds the length of input_ids, then we are in a setting where\n // some of the inputs are exclusively passed as part of the cache (e.g. when passing input_embeds as\n // input)\n if (attention_mask && attention_mask.dims[1] > input_ids.dims[1]) {\n // NOTE: not needed since we only pass the generated tokens to the next forward pass\n // const offset = -(attention_mask.dims[1] - past_length);\n // model_inputs.input_ids = input_ids.slice(null, [offset, null]);\n }\n // 2 - If the past_length is smaller than input_ids', then input_ids holds all input tokens.\n // We can discard input_ids based on the past_length.\n else if (past_length < input_ids.dims[1]) {\n // NOTE: Required for phi models.\n // See https://github.com/huggingface/transformers/issues/30809#issuecomment-2111918479 for more information.\n model_inputs.input_ids = input_ids.slice(null, [past_length, null]);\n }\n // 3 - Otherwise (past_length >= input_ids.shape[1]), let's assume input_ids only has unprocessed tokens.\n else {\n if (\n // NOTE: Only used by VLMs (!= so that null matches undefined)\n self.config.image_token_index != null &&\n // Equivalent to `self.config.image_token_index in input_ids` (== so that int matches bigint)\n input_ids.data.some(x => x == self.config.image_token_index)\n ) {\n // TODO: Support multiple image tokens\n const num_image_tokens = self.config.num_image_tokens;\n if (!num_image_tokens) {\n throw new Error('`num_image_tokens` is missing in the model configuration.');\n }\n\n const num_new_tokens = input_ids.dims[1] - (past_length - num_image_tokens);\n model_inputs.input_ids = input_ids.slice(null, [-num_new_tokens, null]);\n\n // TODO: The attention mask should be formed from the attention mask passed in model_inputs\n model_inputs.attention_mask = ones([1, past_length + num_new_tokens]);\n }\n }\n }\n\n return model_inputs;\n}\n\nfunction encoder_decoder_prepare_inputs_for_generation(self, input_ids, model_inputs, generation_config) {\n if (model_inputs.past_key_values) {\n input_ids = input_ids.map(x => [x.at(-1)]);\n }\n\n return {\n ...model_inputs,\n decoder_input_ids: toI64Tensor(input_ids),\n };\n}\n\nfunction image_text_to_text_prepare_inputs_for_generation(self, ...args) {\n if (self.config.is_encoder_decoder) {\n return encoder_decoder_prepare_inputs_for_generation(self, ...args);\n } else {\n return decoder_prepare_inputs_for_generation(self, ...args);\n }\n}\n\nfunction multimodality_prepare_inputs_for_generation(self, input_ids, model_inputs, generation_config) {\n const has_past_key_values = !!model_inputs.past_key_values;\n\n if (generation_config.guidance_scale !== null && generation_config.guidance_scale > 1) {\n if (has_past_key_values) {\n model_inputs.input_ids = cat([\n model_inputs.input_ids,\n model_inputs.input_ids,\n ], 0)\n // NOTE: attention_mask handled in generation\n } else {\n model_inputs.input_ids = cat([\n model_inputs.input_ids,\n full_like(model_inputs.input_ids, BigInt(generation_config.pad_token_id)),\n ], 0);\n model_inputs.attention_mask = cat([\n model_inputs.attention_mask,\n full_like(model_inputs.attention_mask, 0n),\n ], 0);\n }\n }\n\n if (has_past_key_values || !model_inputs.pixel_values) {\n model_inputs.pixel_values = full([0, 0, 3, 384, 384], 1.0);\n }\n\n if (has_past_key_values) {\n const num_img_tokens = 0;\n const num_text_tokens = 1;\n const has_image = num_img_tokens > 0 ? 1 : 0;\n\n const batch_size = 1;\n model_inputs.images_seq_mask = new Tensor(\n 'bool',\n new Array(num_img_tokens + num_text_tokens).fill(true).fill(false, 0, num_text_tokens),\n [batch_size, num_img_tokens + num_text_tokens],\n );\n model_inputs.images_emb_mask = new Tensor(\n 'bool',\n new Array(num_img_tokens).fill(!!has_image),\n [batch_size, 1, num_img_tokens],\n );\n }\n return model_inputs;\n}\n\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n/**\n * A base class for pre-trained models that provides the model configuration and an ONNX session.\n */\nexport class PreTrainedModel extends Callable {\n main_input_name = 'input_ids';\n forward_params = ['input_ids', 'attention_mask'];\n /**\n * Creates a new instance of the `PreTrainedModel` class.\n * @param {import('./configs.js').PretrainedConfig} config The model configuration.\n * @param {Record<string, any>} sessions The inference sessions for the model.\n * @param {Record<string, Object>} configs Additional configuration files (e.g., generation_config.json).\n */\n constructor(config, sessions, configs) {\n super();\n\n this.config = config;\n this.sessions = sessions;\n this.configs = configs;\n\n const modelName = MODEL_CLASS_TO_NAME_MAPPING.get(this.constructor);\n const modelType = MODEL_TYPE_MAPPING.get(modelName);\n\n this.can_generate = false;\n this._forward = null;\n\n this._prepare_inputs_for_generation = null;\n switch (modelType) {\n case MODEL_TYPES.DecoderOnly:\n this.can_generate = true;\n this._forward = decoderForward;\n this._prepare_inputs_for_generation = decoder_prepare_inputs_for_generation;\n break;\n case MODEL_TYPES.Seq2Seq:\n case MODEL_TYPES.Vision2Seq:\n case MODEL_TYPES.Musicgen:\n this.can_generate = true;\n\n this._forward = seq2seqForward;\n this._prepare_inputs_for_generation = encoder_decoder_prepare_inputs_for_generation;\n break;\n\n case MODEL_TYPES.EncoderDecoder:\n this._forward = seq2seqForward;\n break;\n case MODEL_TYPES.ImageTextToText:\n this.can_generate = true;\n this._forward = imageTextToTextForward;\n this._prepare_inputs_for_generation = image_text_to_text_prepare_inputs_for_generation;\n break;\n case MODEL_TYPES.Phi3V:\n this.can_generate = true;\n this._prepare_inputs_for_generation = image_text_to_text_prepare_inputs_for_generation;\n break;\n\n case MODEL_TYPES.MultiModality:\n this.can_generate = true;\n this._prepare_inputs_for_generation = multimodality_prepare_inputs_for_generation;\n break;\n\n default:\n // should be MODEL_TYPES.EncoderOnly\n this._forward = encoderForward;\n break;\n }\n\n if (this.can_generate) {\n this.forward_params.push('past_key_values');\n }\n\n /** @type {import('./configs.js').TransformersJSConfig} */\n this.custom_config = this.config['transformers.js_config'] ?? {};\n }\n\n /**\n * Disposes of all the ONNX sessions that were created during inference.\n * @returns {Promise<unknown[]>} An array of promises, one for each ONNX session that is being disposed.\n * @todo Use https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/FinalizationRegistry\n */\n async dispose() {\n const promises = [];\n for (const session of Object.values(this.sessions)) {\n if (session?.handler?.dispose) {\n promises.push(session.handler.dispose())\n }\n }\n return await Promise.all(promises);\n }\n\n /**\n * Instantiate one of the model classes of the library from a pretrained model.\n * \n * The model class to instantiate is selected based on the `model_type` property of the config object\n * (either passed as an argument or loaded from `pretrained_model_name_or_path` if possible)\n * \n * @param {string} pretrained_model_name_or_path The name or path of the pretrained model. Can be either:\n * - A string, the *model id* of a pretrained model hosted inside a model repo on huggingface.co.\n * Valid model ids can be located at the root-level, like `bert-base-uncased`, or namespaced under a\n * user or organization name, like `dbmdz/bert-base-german-cased`.\n * - A path to a *directory* containing model weights, e.g., `./my_model_directory/`.\n * @param {import('./utils/hub.js').PretrainedModelOptions} options Additional options for loading the model.\n * \n * @returns {Promise<PreTrainedModel>} A new instance of the `PreTrainedModel` class.\n */\n static async from_pretrained(pretrained_model_name_or_path, {\n progress_callback = null,\n config = null,\n cache_dir = null,\n local_files_only = false,\n revision = 'main',\n model_file_name = null,\n subfolder = 'onnx',\n device = null,\n dtype = null,\n use_external_data_format = null,\n session_options = {},\n } = {}) {\n\n let options = {\n progress_callback,\n config,\n cache_dir,\n local_files_only,\n revision,\n model_file_name,\n subfolder,\n device,\n dtype,\n use_external_data_format,\n session_options,\n }\n\n const modelName = MODEL_CLASS_TO_NAME_MAPPING.get(this);\n const modelType = MODEL_TYPE_MAPPING.get(modelName);\n\n config = options.config = await AutoConfig.from_pretrained(pretrained_model_name_or_path, options);\n\n let info;\n if (modelType === MODEL_TYPES.DecoderOnly) {\n info = await Promise.all([\n constructSessions(pretrained_model_name_or_path, {\n model: options.model_file_name ?? 'model',\n }, options),\n getOptionalConfigs(pretrained_model_name_or_path, {\n generation_config: 'generation_config.json',\n }, options),\n ]);\n\n } else if (modelType === MODEL_TYPES.Seq2Seq || modelType === MODEL_TYPES.Vision2Seq) {\n info = await Promise.all([\n constructSessions(pretrained_model_name_or_path, {\n model: 'encoder_model',\n decoder_model_merged: 'decoder_model_merged',\n }, options),\n getOptionalConfigs(pretrained_model_name_or_path, {\n generation_config: 'generation_config.json',\n }, options),\n ]);\n\n } else if (modelType === MODEL_TYPES.MaskGeneration) {\n info = await Promise.all([\n constructSessions(pretrained_model_name_or_path, {\n model: 'vision_encoder',\n prompt_encoder_mask_decoder: 'prompt_encoder_mask_decoder',\n }, options),\n ]);\n\n } else if (modelType === MODEL_TYPES.EncoderDecoder) {\n info = await Promise.all([\n constructSessions(pretrained_model_name_or_path, {\n model: 'encoder_model',\n decoder_model_merged: 'decoder_model_merged',\n }, options),\n ]);\n\n } else if (modelType === MODEL_TYPES.ImageTextToText) {\n const sessions = {\n embed_tokens: 'embed_tokens',\n vision_encoder: 'vision_encoder',\n decoder_model_merged: 'decoder_model_merged',\n }\n if (config.is_encoder_decoder) {\n sessions['model'] = 'encoder_model';\n }\n info = await Promise.all([\n constructSessions(pretrained_model_name_or_path, sessions, options),\n getOptionalConfigs(pretrained_model_name_or_path, {\n generation_config: 'generation_config.json',\n }, options),\n ]);\n\n } else if (modelType === MODEL_TYPES.Musicgen) {\n info = await Promise.all([\n constructSessions(pretrained_model_name_or_path, {\n model: 'text_encoder',\n decoder_model_merged: 'decoder_model_merged',\n encodec_decode: 'encodec_decode',\n }, options),\n getOptionalConfigs(pretrained_model_name_or_path, {\n generation_config: 'generation_config.json',\n }, options),\n ]);\n\n } else if (modelType === MODEL_TYPES.MultiModality) {\n info = await Promise.all([\n constructSessions(pretrained_model_name_or_path, {\n prepare_inputs_embeds: 'prepare_inputs_embeds',\n model: 'language_model',\n lm_head: 'lm_head',\n gen_head: 'gen_head',\n gen_img_embeds: 'gen_img_embeds',\n image_decode: 'image_decode',\n }, options),\n getOptionalConfigs(pretrained_model_name_or_path, {\n generation_config: 'generation_config.json',\n }, options),\n ]);\n\n } else if (modelType === MODEL_TYPES.Phi3V) {\n info = await Promise.all([\n constructSessions(pretrained_model_name_or_path, {\n prepare_inputs_embeds: 'prepare_inputs_embeds',\n model: 'model',\n vision_encoder: 'vision_encoder',\n }, options),\n getOptionalConfigs(pretrained_model_name_or_path, {\n generation_config: 'generation_config.json',\n }, options),\n ]);\n\n } else { // should be MODEL_TYPES.EncoderOnly\n if (modelType !== MODEL_TYPES.EncoderOnly) {\n const type = modelName ?? config?.model_type;\n if (type !== 'custom') {\n console.warn(`Model type for '${type}' not found, assuming encoder-only architecture. Please report this at ${GITHUB_ISSUE_URL}.`)\n }\n }\n info = await Promise.all([\n constructSessions(pretrained_model_name_or_path, {\n model: options.model_file_name ?? 'model',\n }, options),\n ]);\n }\n\n // @ts-ignore\n return new this(config, ...info);\n }\n\n /**\n * Runs the model with the provided inputs\n * @param {Object} model_inputs Object containing input tensors\n * @returns {Promise<Object>} Object containing output tensors\n */\n async _call(model_inputs) {\n return await this.forward(model_inputs);\n }\n\n /**\n * Forward method for a pretrained model. If not overridden by a subclass, the correct forward method\n * will be chosen based on the model type.\n * @param {Object} model_inputs The input data to the model in the format specified in the ONNX model.\n * @returns {Promise<Object>} The output data from the model in the format specified in the ONNX model.\n * @throws {Error} This method must be implemented in subclasses.\n */\n async forward(model_inputs) {\n return await this._forward(this, model_inputs);\n }\n\n /**\n * Get the model's generation config, if it exists.\n * @returns {GenerationConfig|null} The model's generation config if it exists, otherwise `null`.\n */\n get generation_config() {\n return this.configs?.generation_config ?? null;\n }\n\n /**\n * This function returns a [`LogitsProcessorList`] list object that contains all relevant [`LogitsWarper`]\n * instances used for multinomial sampling.\n * @param {GenerationConfig} generation_config The generation config.\n * @returns {LogitsProcessorList} generation_config \n */\n _get_logits_warper(generation_config) {\n\n // instantiate warpers list\n const warpers = new LogitsProcessorList();\n\n if (generation_config.temperature !== null && generation_config.temperature !== 1.0) {\n warpers.push(new TemperatureLogitsWarper(generation_config.temperature));\n }\n if (generation_config.top_k !== null && generation_config.top_k !== 0) {\n // TODO: add min_tokens_to_keep\n warpers.push(new TopKLogitsWarper(generation_config.top_k));\n }\n if (generation_config.top_p !== null && generation_config.top_p < 1.0) {\n // TODO: add min_tokens_to_keep\n warpers.push(new TopPLogitsWarper(generation_config.top_p));\n }\n\n return warpers;\n }\n\n /**\n * @param {GenerationConfig} generation_config \n * @param {number} input_ids_seq_length The starting sequence length for the input ids.\n * @returns {LogitsProcessorList}\n * @private\n */\n _get_logits_processor(\n generation_config,\n input_ids_seq_length,\n // encoder_input_ids, TODO\n // prefix_allowed_tokens_fn, TODO\n logits_processor = null\n ) {\n const processors = new LogitsProcessorList();\n\n // if (generation_config.diversity_penalty !== null && generation_config.diversity_penalty > 0.0) {\n // processors.push(new HammingDiversityLogitsProcessor(\n // generation_config.diversity_penalty,\n // generation_config.num_beams,\n // generation_config.num_beam_groups\n // ));\n // }\n\n // if (generation_config.encoder_repetition_penalty !== null && generation_config.encoder_repetition_penalty !== 1.0) {\n // processors.push(new EncoderRepetitionPenaltyLogitsProcessor(\n // generation_config.encoder_repetition_penalty,\n // encoder_input_ids\n // ));\n // }\n\n if (generation_config.repetition_penalty !== null && generation_config.repetition_penalty !== 1.0) {\n processors.push(new RepetitionPenaltyLogitsProcessor(generation_config.repetition_penalty));\n }\n\n if (generation_config.no_repeat_ngram_size !== null && generation_config.no_repeat_ngram_size > 0) {\n processors.push(new NoRepeatNGramLogitsProcessor(generation_config.no_repeat_ngram_size));\n }\n\n // if (generation_config.encoder_no_repeat_ngram_size !== null && generation_config.encoder_no_repeat_ngram_size > 0) {\n // if (this.config.is_encoder_decoder) {\n // processors.push(new EncoderNoRepeatNGramLogitsProcessor(\n // generation_config.encoder_no_repeat_ngram_size,\n // encoder_input_ids\n // ));\n // } else {\n // throw new Error(\"It's impossible to use `encoder_no_repeat_ngram_size` with decoder-only architecture\");\n // }\n // }\n\n if (generation_config.bad_words_ids !== null) {\n processors.push(new NoBadWordsLogitsProcessor(generation_config.bad_words_ids, generation_config.eos_token_id));\n }\n\n if (generation_config.min_length !== null && generation_config.eos_token_id !== null && generation_config.min_length > 0) {\n processors.push(new MinLengthLogitsProcessor(generation_config.min_length, generation_config.eos_token_id));\n }\n\n if (generation_config.min_new_tokens !== null && generation_config.eos_token_id !== null && generation_config.min_new_tokens > 0) {\n processors.push(new MinNewTokensLengthLogitsProcessor(\n input_ids_seq_length,\n generation_config.min_new_tokens,\n generation_config.eos_token_id\n ));\n }\n\n // if (prefix_allowed_tokens_fn !== null) {\n // processors.push(new PrefixConstrainedLogitsProcessor(\n // prefix_allowed_tokens_fn,\n // generation_config.num_beams / generation_config.num_beam_groups\n // ));\n // }\n\n\n if (generation_config.forced_bos_token_id !== null) {\n processors.push(new ForcedBOSTokenLogitsProcessor(generation_config.forced_bos_token_id));\n }\n\n if (generation_config.forced_eos_token_id !== null) {\n processors.push(new ForcedEOSTokenLogitsProcessor(\n generation_config.max_length,\n generation_config.forced_eos_token_id\n ));\n }\n\n // if (generation_config.remove_invalid_values === true) {\n // processors.push(new InfNanRemoveLogitsProcessor());\n // }\n\n // if (generation_config.exponential_decay_length_penalty !== null) {\n // processors.push(new ExponentialDecayLengthPenalty(\n // generation_config.exponential_decay_length_penalty,\n // generation_config.eos_token_id,\n // input_ids_seq_length\n // ));\n // }\n\n // if (generation_config.suppress_tokens !== null) {\n // processors.push(new SuppressTokensLogitsProcessor(generation_config.suppress_tokens));\n // }\n\n if (generation_config.begin_suppress_tokens !== null) {\n const begin_index = (input_ids_seq_length > 1 || generation_config.forced_bos_token_id === null)\n ? input_ids_seq_length\n : input_ids_seq_length + 1;\n\n processors.push(new SuppressTokensAtBeginLogitsProcessor(generation_config.begin_suppress_tokens, begin_index));\n }\n\n // DEPRECATED: https://github.com/huggingface/transformers/pull/29485\n // if (generation_config.forced_decoder_ids !== null) {\n // processors.push(new ForceTokensLogitsProcessor(generation_config.forced_decoder_ids));\n // }\n\n\n // 8. prepare batched CFG externally\n if (generation_config.guidance_scale !== null && generation_config.guidance_scale > 1) {\n processors.push(new ClassifierFreeGuidanceLogitsProcessor(generation_config.guidance_scale));\n }\n\n if (logits_processor !== null) {\n processors.extend(logits_processor)\n }\n\n // `LogitNormalization` should always be the last logit processor, when present\n // if (generation_config.renormalize_logits === true) {\n // processors.push(new LogitNormalization());\n // }\n\n return processors;\n }\n\n /**\n * This function merges multiple generation configs together to form a final generation config to be used by the model for text generation.\n * It first creates an empty `GenerationConfig` object, then it applies the model's own `generation_config` property to it. Finally, if a `generation_config` object was passed in the arguments, it overwrites the corresponding properties in the final config with those of the passed config object.\n * @param {GenerationConfig|null} generation_config A `GenerationConfig` object containing generation parameters.\n * @param {Object} kwargs Additional generation parameters to be used in place of those in the `generation_config` object.\n * @returns {GenerationConfig} The final generation config object to be used by the model for text generation.\n */\n _prepare_generation_config(generation_config, kwargs, cls = GenerationConfig) {\n // Create empty generation config (contains defaults)\n // We pass `this.config` so that if `eos_token_id` or `bos_token_id` exist in the model's config, we will use them\n const config = { ...this.config };\n for (const key of [\"decoder\", \"generator\", \"text_config\"]) {\n // Special case: some models have generation attributes set in the decoder.\n // Use them if still unset in the generation config.\n if (key in config) {\n Object.assign(config, config[key]);\n }\n }\n\n const gen_config = new cls(config);\n\n // Apply model's generation config, if it exists\n Object.assign(gen_config, this.generation_config ?? {});\n\n // Next, use any generation config specified by the user\n // when calling `generate`\n if (generation_config) {\n Object.assign(gen_config, generation_config);\n }\n\n // Finally, if any kwargs were passed, use them to overwrite\n if (kwargs) {\n Object.assign(gen_config, pick(kwargs, Object.getOwnPropertyNames(gen_config)));\n }\n\n return gen_config;\n }\n\n /**\n * \n * @param {GenerationConfig} generation_config \n * @param {StoppingCriteriaList} [stopping_criteria=null] \n */\n _get_stopping_criteria(generation_config, stopping_criteria = null) {\n const criteria = new StoppingCriteriaList();\n\n if (generation_config.max_length !== null) {\n criteria.push(new MaxLengthCriteria(\n generation_config.max_length,\n this.config.max_position_embeddings ?? null,\n ));\n }\n // if (generation_config.max_time !== null) {\n // criteria.push(new MaxTimeCriteria(generation_config.max_time));\n // }\n if (generation_config.eos_token_id !== null) {\n criteria.push(new EosTokenCriteria(generation_config.eos_token_id));\n }\n\n if (stopping_criteria) {\n criteria.extend(stopping_criteria);\n }\n return criteria;\n\n }\n\n /**\n * Confirms that the model class is compatible with generation.\n * If not, raises an exception that points to the right class to use.\n */\n _validate_model_class() {\n if (!this.can_generate) {\n const generate_compatible_mappings = [\n MODEL_FOR_CAUSAL_LM_MAPPING_NAMES,\n // MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING, // TODO\n MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES,\n MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES,\n MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES,\n ];\n\n const modelName = MODEL_CLASS_TO_NAME_MAPPING.get(this.constructor);\n\n const generate_compatible_classes = new Set();\n const modelType = this.config.model_type;\n for (const model_mapping of generate_compatible_mappings) {\n const supported_models = model_mapping.get(modelType);\n if (supported_models) {\n generate_compatible_classes.add(supported_models[0]);\n }\n }\n\n let errorMessage = `The current model class (${modelName}) is not compatible with \\`.generate()\\`, as it doesn't have a language model head.`\n if (generate_compatible_classes.size > 0) {\n errorMessage += ` Please use the following class instead: ${[...generate_compatible_classes].join(', ')}`;\n }\n throw Error(errorMessage);\n }\n }\n\n prepare_inputs_for_generation(...args) {\n return this._prepare_inputs_for_generation(this, ...args);\n }\n\n /**\n * \n * @param {Object} inputs\n * @param {bigint[][]} inputs.generated_input_ids\n * @param {Object} inputs.outputs\n * @param {Object} inputs.model_inputs\n * @param {boolean} inputs.is_encoder_decoder\n * @returns {Object} The updated model inputs for the next generation iteration.\n */\n _update_model_kwargs_for_generation({ generated_input_ids, outputs, model_inputs, is_encoder_decoder }) {\n // update past_key_values\n model_inputs['past_key_values'] = this.getPastKeyValues(outputs, model_inputs.past_key_values);\n\n // update inputs for next run\n model_inputs['input_ids'] = new Tensor('int64', generated_input_ids.flat(), [generated_input_ids.length, 1]);\n\n if (!is_encoder_decoder) {\n // update attention mask\n model_inputs.attention_mask = cat(\n [\n model_inputs.attention_mask,\n ones([model_inputs.attention_mask.dims[0], 1]),\n ], 1\n );\n } else if ('decoder_attention_mask' in model_inputs) {\n // TODO: update decoder attention mask if the model requires it\n }\n\n // force recreate position_ids in next iteration\n model_inputs['position_ids'] = null;\n\n return model_inputs;\n }\n\n /**\n * This function extracts the model-specific `inputs` for generation.\n * @param {Object} params\n * @param {Tensor} [params.inputs=null]\n * @param {number} [params.bos_token_id=null]\n * @param {Record<string, Tensor|number[]>} [params.model_kwargs]\n * @returns {{inputs_tensor: Tensor, model_inputs: Record<string, Tensor>, model_input_name: string}} The model-specific inputs for generation.\n */\n _prepare_model_inputs({ inputs, bos_token_id, model_kwargs }) {\n const model_inputs = pick(model_kwargs, this.forward_params);\n const input_name = this.main_input_name;\n if (input_name in model_inputs) {\n if (inputs) {\n throw new Error(\n \"`inputs`: {inputs}` were passed alongside {input_name} which is not allowed. \" +\n \"Make sure to either pass {inputs} or {input_name}=...\"\n );\n }\n } else {\n model_inputs[input_name] = inputs;\n }\n\n const inputs_tensor = model_inputs[input_name];\n\n return { inputs_tensor, model_inputs, model_input_name: input_name };\n }\n\n async _prepare_encoder_decoder_kwargs_for_generation({ inputs_tensor, model_inputs, model_input_name, generation_config }) {\n if (\n this.sessions['model'].inputNames.includes('inputs_embeds')\n && !model_inputs.inputs_embeds\n && '_prepare_inputs_embeds' in this\n ) {\n // Encoder expects `inputs_embeds` instead of `input_ids`\n const { input_ids, pixel_values, attention_mask, ...kwargs } = model_inputs;\n // @ts-ignore\n const prepared_inputs = await this._prepare_inputs_embeds(model_inputs);\n model_inputs = {\n ...kwargs,\n ...pick(prepared_inputs, ['inputs_embeds', 'attention_mask']),\n };\n }\n let { last_hidden_state } = await encoderForward(this, model_inputs);\n\n // for classifier free guidance we need to add a 'null' input to our encoder hidden states\n if (generation_config.guidance_scale !== null && generation_config.guidance_scale > 1) {\n\n last_hidden_state = cat([\n last_hidden_state,\n full_like(last_hidden_state, 0.0),\n ], 0);\n\n if ('attention_mask' in model_inputs) {\n model_inputs['attention_mask'] = cat([\n model_inputs['attention_mask'],\n zeros_like(model_inputs['attention_mask']),\n ], 0);\n }\n\n } else if (model_inputs.decoder_input_ids) {\n // Ensure that the encoder outputs have the same batch size as the decoder inputs,\n // allowing for more efficient batched generation for single inputs\n const decoder_input_ids_batch_size = toI64Tensor(model_inputs.decoder_input_ids).dims[0];\n if (decoder_input_ids_batch_size !== last_hidden_state.dims[0]) {\n if (last_hidden_state.dims[0] !== 1) {\n throw new Error(\n `The encoder outputs have a different batch size (${last_hidden_state.dims[0]}) than the decoder inputs (${decoder_input_ids_batch_size}).`\n )\n }\n last_hidden_state = cat(Array.from({ length: decoder_input_ids_batch_size }, () => last_hidden_state), 0);\n }\n }\n model_inputs['encoder_outputs'] = last_hidden_state;\n\n return model_inputs;\n }\n\n /**\n * Prepares `decoder_input_ids` for generation with encoder-decoder models\n * @param {*} param0 \n */\n _prepare_decoder_input_ids_for_generation({ batch_size, model_input_name, model_kwargs, decoder_start_token_id, bos_token_id, generation_config }) {\n let { decoder_input_ids, ...model_inputs } = model_kwargs;\n\n // Prepare input ids if the user has not defined `decoder_input_ids` manually.\n if (!(decoder_input_ids instanceof Tensor)) {\n if (!decoder_input_ids) {\n decoder_start_token_id ??= bos_token_id;\n\n if (this.config.model_type === 'musicgen') {\n // Custom logic (TODO: move to Musicgen class)\n decoder_input_ids = Array.from({\n // @ts-expect-error TS2339\n length: batch_size * this.config.decoder.num_codebooks\n }, () => [decoder_start_token_id]);\n\n } else if (Array.isArray(decoder_start_token_id)) {\n if (decoder_start_token_id.length !== batch_size) {\n throw new Error(\n `\\`decoder_start_token_id\\` expcted to have length ${batch_size} but got ${decoder_start_token_id.length}`\n )\n }\n decoder_input_ids = decoder_start_token_id;\n } else {\n decoder_input_ids = Array.from({\n length: batch_size,\n }, () => [decoder_start_token_id]);\n }\n } else if (!Array.isArray(decoder_input_ids[0])) {\n // Correct batch size\n decoder_input_ids = Array.from({\n length: batch_size,\n }, () => decoder_input_ids);\n }\n decoder_input_ids = toI64Tensor(decoder_input_ids);\n }\n\n model_kwargs['decoder_attention_mask'] = ones_like(decoder_input_ids);\n\n return { input_ids: decoder_input_ids, model_inputs };\n }\n\n /**\n * Generates sequences of token ids for models with a language modeling head.\n * @param {import('./generation/parameters.js').GenerationFunctionParameters} options\n * @returns {Promise<ModelOutput|Tensor>} The output of the model, which can contain the generated token ids, attentions, and scores.\n */\n async generate({\n inputs = null,\n generation_config = null,\n logits_processor = null,\n stopping_criteria = null,\n streamer = null,\n\n // inputs_attention_mask = null,\n ...kwargs\n }) {\n this._validate_model_class();\n\n // Update generation config with defaults and kwargs\n generation_config = this._prepare_generation_config(generation_config, kwargs);\n\n // 3. Define model inputs\n let { inputs_tensor, model_inputs, model_input_name } = this._prepare_model_inputs({\n inputs,\n model_kwargs: kwargs,\n });\n\n const is_encoder_decoder = this.config.is_encoder_decoder;\n\n // 4. Define other model kwargs\n if (!is_encoder_decoder) {\n // decoder-only models should use left-padding for generation\n } else if (!('encoder_outputs' in model_inputs)) {\n // if model is encoder decoder encoder_outputs are created\n // and added to `model_kwargs`\n model_inputs = await this._prepare_encoder_decoder_kwargs_for_generation(\n { inputs_tensor, model_inputs, model_input_name, generation_config }\n )\n }\n\n // 5. Prepare `input_ids` which will be used for auto-regressive generation\n // TODO: Update to align with HF transformers' implementation\n let input_ids;\n if (is_encoder_decoder) {\n // Generating from the encoder outputs\n ({ input_ids, model_inputs } = this._prepare_decoder_input_ids_for_generation({\n batch_size: model_inputs[model_input_name].dims.at(0),\n model_input_name,\n model_kwargs: model_inputs,\n decoder_start_token_id: generation_config.decoder_start_token_id,\n bos_token_id: generation_config.bos_token_id,\n generation_config,\n }));\n } else {\n input_ids = model_inputs[model_input_name]\n }\n\n // 6. Prepare `max_length` depending on other stopping criteria.\n let input_ids_length = input_ids.dims.at(-1);\n\n if (generation_config.max_new_tokens !== null) {\n generation_config.max_length = input_ids_length + generation_config.max_new_tokens;\n }\n\n // input_ids_length = model_inputs[model_input_name].dims.at(1);\n // // inputs instanceof Tensor ? : inputs.length;\n\n // // decoder-only\n // if (input_ids_length === 0) {\n // throw Error(\"Must supply a non-empty array of input token ids.\")\n // }\n\n // let decoder_input_ids =\n // generation_config.decoder_input_ids\n // ?? generation_config.decoder_start_token_id\n // ?? generation_config.bos_token_id\n // ?? generation_config.eos_token_id;\n\n // Update logits processor\n // 8. prepare distribution pre_processing samplers\n const prepared_logits_processor = this._get_logits_processor(\n generation_config,\n input_ids_length,\n logits_processor,\n )\n\n // 9. prepare stopping criteria\n const prepared_stopping_criteria = this._get_stopping_criteria(\n generation_config, stopping_criteria\n )\n\n // /** @type {number[]} */\n // let eos_token_ids = generation_config.eos_token_id;\n // if (eos_token_ids !== null && !Array.isArray(eos_token_ids)) {\n // eos_token_ids = [eos_token_ids];\n // }\n\n const numInputs = model_inputs[model_input_name].dims.at(0);\n\n // TODO:\n // done is a list of booleans to keep track of which inputs are done\n // const done = new Array(numInputs).fill(false);\n // For efficiency purposes, we remove completed rows from model_inputs\n // when the beam is complete, and we keep track of the row index\n // const rowIndexToBatchIndex = new Map();\n\n const sampler = LogitsSampler.getSampler(generation_config);\n\n // TODO make > numInputs\n const scores = new Array(numInputs).fill(0);\n /** @type {bigint[][]} */\n const all_input_ids = input_ids.tolist();\n if (streamer) {\n streamer.put(all_input_ids);\n }\n // const all_generated_input_ids = Array.from({ length: numInputs }, () => []);\n\n // NOTE: For now, we don't support spawning new beams\n // TODO: when we do, we simply copy past key values and accumulate into single large tensor\n\n ////////////////////////////////////////////////////\n // Generic search which handles 4 generation modes:\n // - GenerationMode.GREEDY_SEARCH\n // - GenerationMode.SAMPLE\n // - GenerationMode.BEAM_SEARCH\n // - GenerationMode.BEAM_SAMPLE\n ////////////////////////////////////////////////////\n let outputs;\n let attentions = {};\n while (true) {\n // prepare model inputs\n model_inputs = this.prepare_inputs_for_generation(all_input_ids, model_inputs, generation_config);\n outputs = await this.forward(model_inputs);\n\n if (generation_config.output_attentions && generation_config.return_dict_in_generate) {\n // Get attentions if they are present\n const token_attentions = this.getAttentions(outputs);\n for (const key in token_attentions) {\n if (!(key in attentions)) {\n attentions[key] = [];\n }\n attentions[key].push(token_attentions[key]);\n }\n }\n\n // Logits are of the form [batch_size, out_seq_length, vocab_size]\n // In most cases, this will be [batch_size, 1, vocab_size]\n // So, we select the last token's logits:\n // (equivalent to `logits = outputs.logits[:, -1, :]`)\n const logits = outputs.logits.slice(null, -1, null);\n\n const next_tokens_scores = prepared_logits_processor(all_input_ids, logits);\n\n /** @type {[bigint][]} */\n const generated_input_ids = [];\n // const new_kv_cache = [];// NOTE: Only used for beam search when concatenating new kv\n // Loop over each batch\n for (let batch_idx = 0; batch_idx < next_tokens_scores.dims.at(0); ++batch_idx) {\n const logs = next_tokens_scores[batch_idx];\n\n const sampledTokens = await sampler(logs);\n for (const [newTokenId, logProb] of sampledTokens) {\n const bigint = BigInt(newTokenId);\n // TODO: If branching, use previous beam as a starting point\n // update generated ids, model inputs, and length for next step\n scores[batch_idx] += logProb;\n all_input_ids[batch_idx].push(bigint);\n generated_input_ids.push([bigint]);\n\n // TODO: Support beam search\n break;\n }\n }\n if (streamer) {\n streamer.put(generated_input_ids);\n }\n\n const stop = prepared_stopping_criteria(all_input_ids);\n if (stop.every(x => x)) {\n break;\n }\n\n model_inputs = this._update_model_kwargs_for_generation({\n generated_input_ids, outputs, model_inputs, is_encoder_decoder,\n });\n }\n\n if (streamer) {\n streamer.end();\n }\n\n // Retrieve and dispose all final past key values (including encoder attentions)\n const past_key_values = this.getPastKeyValues(outputs, model_inputs.past_key_values, true);\n\n // TODO: ensure all_input_ids is padded correctly...\n const sequences = new Tensor('int64', all_input_ids.flat(), [all_input_ids.length, all_input_ids[0].length]);\n\n if (generation_config.return_dict_in_generate) {\n return {\n sequences,\n past_key_values,\n ...attentions,\n // TODO:\n // scores,\n // logits,\n }\n } else {\n // Dispose all remaining tensors\n for (const tensor of Object.values(outputs)) {\n if (tensor.location === 'gpu-buffer') {\n tensor.dispose();\n }\n }\n return sequences;\n }\n }\n\n /**\n * Returns an object containing past key values from the given decoder results object.\n *\n * @param {Object} decoderResults The decoder results object.\n * @param {Object} pastKeyValues The previous past key values.\n * @returns {Object} An object containing past key values.\n */\n getPastKeyValues(decoderResults, pastKeyValues, disposeEncoderPKVs = false) {\n const pkvs = Object.create(null);\n\n for (const name in decoderResults) {\n if (name.startsWith('present')) {\n const newName = name.replace('present', 'past_key_values');\n const is_encoder_pkv = name.includes('encoder');\n if (is_encoder_pkv && pastKeyValues) {\n // Optimization introduced by optimum to reuse past key values.\n // So, we just replace the constant outputs (`decoderResults[name]`) with the previous past key values.\n // https://github.com/huggingface/optimum/blob/0bf2c05fb7e1182b52d21b703cfc95fd9e4ea3dc/optimum/onnxruntime/base.py#L677-L704\n pkvs[newName] = pastKeyValues[newName];\n } else { // decoder or using first encoder PKVs\n pkvs[newName] = decoderResults[name];\n }\n\n if (pastKeyValues && (!is_encoder_pkv || disposeEncoderPKVs)) {\n // - Always dispose decoder PKVs\n // - Only dispose encoder past key values when requested (after generation)\n const t = pastKeyValues[newName];\n if (t.location === 'gpu-buffer') {\n t.dispose();\n }\n }\n }\n }\n return pkvs;\n }\n\n /**\n * Returns an object containing attentions from the given model output object.\n *\n * @param {Object} model_output The output of the model.\n * @returns {{cross_attentions?: Tensor[]}} An object containing attentions.\n */\n getAttentions(model_output) {\n const attentions = {};\n\n for (const attnName of ['cross_attentions', 'encoder_attentions', 'decoder_attentions']) {\n for (const name in model_output) {\n if (name.startsWith(attnName)) {\n if (!(attnName in attentions)) {\n attentions[attnName] = [];\n }\n attentions[attnName].push(model_output[name]);\n }\n }\n }\n return attentions;\n }\n\n /**\n * Adds past key values to the decoder feeds object. If pastKeyValues is null, creates new tensors for past key values.\n *\n * @param {Object} decoderFeeds The decoder feeds object to add past key values to.\n * @param {Object} pastKeyValues An object containing past key values.\n */\n addPastKeyValues(decoderFeeds, pastKeyValues) {\n if (pastKeyValues) {\n Object.assign(decoderFeeds, pastKeyValues)\n } else {\n const session = this.sessions['decoder_model_merged'] ?? this.sessions['model'];\n const dtype = session?.config?.kv_cache_dtype ?? 'float32';\n const empty = (dtype === 'float16') ? new Uint16Array() : [];\n\n const batch_size = (decoderFeeds[this.main_input_name] ?? decoderFeeds.attention_mask)?.dims?.[0] ?? 1;\n const shapes = getKeyValueShapes(this.config, { batch_size });\n\n for (const name in shapes) {\n decoderFeeds[name] = new Tensor(dtype, empty, shapes[name]);\n }\n }\n }\n\n async encode_image({ pixel_values }) {\n // image_inputs === { pixel_values }\n const features = (await sessionRun(this.sessions['vision_encoder'], { pixel_values })).image_features;\n // @ts-expect-error TS2339\n if (!this.config.num_image_tokens) {\n console.warn(\n 'The number of image tokens was not set in the model configuration. ' +\n `Setting it to the number of features detected by the vision encoder (${features.dims[1]}).`\n )\n // @ts-expect-error TS2339\n this.config.num_image_tokens = features.dims[1];\n }\n return features;\n }\n\n async encode_text({ input_ids }) {\n // text_inputs === { input_ids, attention_mask }\n return (await sessionRun(this.sessions['embed_tokens'], { input_ids })).inputs_embeds;\n }\n}\n\n//////////////////////////////////////////////////\n// Base model output class\nexport class ModelOutput { }\n\n/**\n * Base class for model's outputs, with potential hidden states and attentions.\n */\nexport class BaseModelOutput extends ModelOutput {\n /**\n * @param {Object} output The output of the model.\n * @param {Tensor} output.last_hidden_state Sequence of hidden-states at the output of the last layer of the model.\n * @param {Tensor} [output.hidden_states] Hidden-states of the model at the output of each layer plus the optional initial embedding outputs.\n * @param {Tensor} [output.attentions] Attentions weights after the attention softmax, used to compute the weighted average in the self-attention heads.\n */\n constructor({ last_hidden_state, hidden_states = null, attentions = null }) {\n super();\n this.last_hidden_state = last_hidden_state;\n this.hidden_states = hidden_states;\n this.attentions = attentions;\n }\n}\n//////////////////////////////////////////////////\n// Bert models\nexport class BertPreTrainedModel extends PreTrainedModel { }\nexport class BertModel extends BertPreTrainedModel { }\n\n/**\n * BertForMaskedLM is a class representing a BERT model for masked language modeling.\n */\nexport class BertForMaskedLM extends BertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<MaskedLMOutput>} An object containing the model's output logits for masked language modeling.\n */\n async _call(model_inputs) {\n return new MaskedLMOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * BertForSequenceClassification is a class representing a BERT model for sequence classification.\n */\nexport class BertForSequenceClassification extends BertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * BertForTokenClassification is a class representing a BERT model for token classification.\n */\nexport class BertForTokenClassification extends BertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n */\n async _call(model_inputs) {\n return new TokenClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * BertForQuestionAnswering is a class representing a BERT model for question answering.\n */\nexport class BertForQuestionAnswering extends BertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<QuestionAnsweringModelOutput>} An object containing the model's output logits for question answering.\n */\n async _call(model_inputs) {\n return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// ModernBert models\nexport class ModernBertPreTrainedModel extends PreTrainedModel { }\nexport class ModernBertModel extends ModernBertPreTrainedModel { }\n\nexport class ModernBertForMaskedLM extends ModernBertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<MaskedLMOutput>} An object containing the model's output logits for masked language modeling.\n */\n async _call(model_inputs) {\n return new MaskedLMOutput(await super._call(model_inputs));\n }\n}\n\nexport class ModernBertForSequenceClassification extends ModernBertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n\nexport class ModernBertForTokenClassification extends ModernBertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n */\n async _call(model_inputs) {\n return new TokenClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// NomicBert models\nexport class NomicBertPreTrainedModel extends PreTrainedModel { }\nexport class NomicBertModel extends NomicBertPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// RoFormer models\nexport class RoFormerPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare RoFormer Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class RoFormerModel extends RoFormerPreTrainedModel { }\n\n/**\n * RoFormer Model with a `language modeling` head on top.\n */\nexport class RoFormerForMaskedLM extends RoFormerPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<MaskedLMOutput>} An object containing the model's output logits for masked language modeling.\n */\n async _call(model_inputs) {\n return new MaskedLMOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * RoFormer Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output)\n */\nexport class RoFormerForSequenceClassification extends RoFormerPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * RoFormer Model with a token classification head on top (a linear layer on top of the hidden-states output)\n * e.g. for Named-Entity-Recognition (NER) tasks.\n */\nexport class RoFormerForTokenClassification extends RoFormerPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n */\n async _call(model_inputs) {\n return new TokenClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * RoFormer Model with a span classification head on top for extractive question-answering tasks like SQuAD\n * (a linear layers on top of the hidden-states output to compute `span start logits` and `span end logits`).\n */\nexport class RoFormerForQuestionAnswering extends RoFormerPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<QuestionAnsweringModelOutput>} An object containing the model's output logits for question answering.\n */\n async _call(model_inputs) {\n return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n }\n}\n// TODO: Add RoFormerForCausalLM and RoFormerForMultipleChoice\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// ConvBert models\nexport class ConvBertPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare ConvBERT Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class ConvBertModel extends ConvBertPreTrainedModel { }\n\n/**\n * ConvBERT Model with a language modeling head on top.\n */\nexport class ConvBertForMaskedLM extends ConvBertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<MaskedLMOutput>} An object containing the model's output logits for masked language modeling.\n */\n async _call(model_inputs) {\n return new MaskedLMOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * ConvBERT Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output)\n */\nexport class ConvBertForSequenceClassification extends ConvBertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * ConvBERT Model with a token classification head on top (a linear layer on top of the hidden-states output)\n * e.g. for Named-Entity-Recognition (NER) tasks.\n */\nexport class ConvBertForTokenClassification extends ConvBertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n */\n async _call(model_inputs) {\n return new TokenClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * ConvBERT Model with a span classification head on top for extractive question-answering tasks like SQuAD\n * (a linear layers on top of the hidden-states output to compute `span start logits` and `span end logits`)\n */\nexport class ConvBertForQuestionAnswering extends ConvBertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<QuestionAnsweringModelOutput>} An object containing the model's output logits for question answering.\n */\n async _call(model_inputs) {\n return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Electra models\nexport class ElectraPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare Electra Model transformer outputting raw hidden-states without any specific head on top.\n * Identical to the BERT model except that it uses an additional linear layer between the embedding\n * layer and the encoder if the hidden size and embedding size are different.\n */\nexport class ElectraModel extends ElectraPreTrainedModel { }\n// TODO add ElectraForPreTraining\n/**\n * Electra model with a language modeling head on top.\n */\nexport class ElectraForMaskedLM extends ElectraPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<MaskedLMOutput>} An object containing the model's output logits for masked language modeling.\n */\n async _call(model_inputs) {\n return new MaskedLMOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * ELECTRA Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output)\n */\nexport class ElectraForSequenceClassification extends ElectraPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * Electra model with a token classification head on top.\n */\nexport class ElectraForTokenClassification extends ElectraPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n */\n async _call(model_inputs) {\n return new TokenClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * LECTRA Model with a span classification head on top for extractive question-answering tasks like SQuAD\n * (a linear layers on top of the hidden-states output to compute `span start logits` and `span end logits`).\n */\nexport class ElectraForQuestionAnswering extends ElectraPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<QuestionAnsweringModelOutput>} An object containing the model's output logits for question answering.\n */\n async _call(model_inputs) {\n return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// CamemBERT models\nexport class CamembertPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare CamemBERT Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class CamembertModel extends CamembertPreTrainedModel { }\n\n/**\n * CamemBERT Model with a `language modeling` head on top.\n */\nexport class CamembertForMaskedLM extends CamembertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<MaskedLMOutput>} An object containing the model's output logits for masked language modeling.\n */\n async _call(model_inputs) {\n return new MaskedLMOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * CamemBERT Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output) e.g. for GLUE tasks.\n */\nexport class CamembertForSequenceClassification extends CamembertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * CamemBERT Model with a token classification head on top (a linear layer on top of the hidden-states output) e.g. for Named-Entity-Recognition (NER) tasks.\n */\nexport class CamembertForTokenClassification extends CamembertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n */\n async _call(model_inputs) {\n return new TokenClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * CamemBERT Model with a span classification head on top for extractive question-answering tasks\n */\nexport class CamembertForQuestionAnswering extends CamembertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<QuestionAnsweringModelOutput>} An object containing the model's output logits for question answering.\n */\n async _call(model_inputs) {\n return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// DeBERTa models\nexport class DebertaPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare DeBERTa Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class DebertaModel extends DebertaPreTrainedModel { }\n\n/**\n * DeBERTa Model with a `language modeling` head on top.\n */\nexport class DebertaForMaskedLM extends DebertaPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<MaskedLMOutput>} An object containing the model's output logits for masked language modeling.\n */\n async _call(model_inputs) {\n return new MaskedLMOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * DeBERTa Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output)\n */\nexport class DebertaForSequenceClassification extends DebertaPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * DeBERTa Model with a token classification head on top (a linear layer on top of the hidden-states output) e.g. for Named-Entity-Recognition (NER) tasks.\n */\nexport class DebertaForTokenClassification extends DebertaPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n */\n async _call(model_inputs) {\n return new TokenClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * DeBERTa Model with a span classification head on top for extractive question-answering tasks like SQuAD (a linear\n * layers on top of the hidden-states output to compute `span start logits` and `span end logits`).\n */\nexport class DebertaForQuestionAnswering extends DebertaPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<QuestionAnsweringModelOutput>} An object containing the model's output logits for question answering.\n */\n async _call(model_inputs) {\n return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// DeBERTa-v2 models\nexport class DebertaV2PreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare DeBERTa-V2 Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class DebertaV2Model extends DebertaV2PreTrainedModel { }\n\n/**\n * DeBERTa-V2 Model with a `language modeling` head on top.\n */\nexport class DebertaV2ForMaskedLM extends DebertaV2PreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<MaskedLMOutput>} An object containing the model's output logits for masked language modeling.\n */\n async _call(model_inputs) {\n return new MaskedLMOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * DeBERTa-V2 Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output)\n */\nexport class DebertaV2ForSequenceClassification extends DebertaV2PreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * DeBERTa-V2 Model with a token classification head on top (a linear layer on top of the hidden-states output) e.g. for Named-Entity-Recognition (NER) tasks.\n */\nexport class DebertaV2ForTokenClassification extends DebertaV2PreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n */\n async _call(model_inputs) {\n return new TokenClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * DeBERTa-V2 Model with a span classification head on top for extractive question-answering tasks like SQuAD (a linear\n * layers on top of the hidden-states output to compute `span start logits` and `span end logits`).\n */\nexport class DebertaV2ForQuestionAnswering extends DebertaV2PreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<QuestionAnsweringModelOutput>} An object containing the model's output logits for question answering.\n */\n async _call(model_inputs) {\n return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// DistilBert models\nexport class DistilBertPreTrainedModel extends PreTrainedModel { }\nexport class DistilBertModel extends DistilBertPreTrainedModel { }\n\n/**\n * DistilBertForSequenceClassification is a class representing a DistilBERT model for sequence classification.\n */\nexport class DistilBertForSequenceClassification extends DistilBertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * DistilBertForTokenClassification is a class representing a DistilBERT model for token classification.\n */\nexport class DistilBertForTokenClassification extends DistilBertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n */\n async _call(model_inputs) {\n return new TokenClassifierOutput(await super._call(model_inputs));\n }\n}\n\n\n/**\n * DistilBertForQuestionAnswering is a class representing a DistilBERT model for question answering.\n */\nexport class DistilBertForQuestionAnswering extends DistilBertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<QuestionAnsweringModelOutput>} An object containing the model's output logits for question answering.\n */\n async _call(model_inputs) {\n return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * DistilBertForMaskedLM is a class representing a DistilBERT model for masking task.\n */\nexport class DistilBertForMaskedLM extends DistilBertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<MaskedLMOutput>} returned object\n */\n async _call(model_inputs) {\n return new MaskedLMOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// ESM models\nexport class EsmPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare ESM Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class EsmModel extends EsmPreTrainedModel { }\n\n/**\n * ESM Model with a `language modeling` head on top.\n */\nexport class EsmForMaskedLM extends EsmPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<MaskedLMOutput>} An object containing the model's output logits for masked language modeling.\n */\n async _call(model_inputs) {\n return new MaskedLMOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * ESM Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output)\n */\nexport class EsmForSequenceClassification extends EsmPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * ESM Model with a token classification head on top (a linear layer on top of the hidden-states output)\n * e.g. for Named-Entity-Recognition (NER) tasks.\n */\nexport class EsmForTokenClassification extends EsmPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n */\n async _call(model_inputs) {\n return new TokenClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// MobileBert models\nexport class MobileBertPreTrainedModel extends PreTrainedModel { }\nexport class MobileBertModel extends MobileBertPreTrainedModel { }\n\n/**\n * MobileBertForMaskedLM is a class representing a MobileBERT model for masking task.\n */\nexport class MobileBertForMaskedLM extends MobileBertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<MaskedLMOutput>} returned object\n */\n async _call(model_inputs) {\n return new MaskedLMOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * MobileBert Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output)\n */\nexport class MobileBertForSequenceClassification extends MobileBertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} returned object\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * MobileBert Model with a span classification head on top for extractive question-answering tasks\n */\nexport class MobileBertForQuestionAnswering extends MobileBertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<QuestionAnsweringModelOutput>} returned object\n */\n async _call(model_inputs) {\n return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// MPNet models\nexport class MPNetPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare MPNet Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class MPNetModel extends MPNetPreTrainedModel { }\n\n/**\n * MPNetForMaskedLM is a class representing a MPNet model for masked language modeling.\n */\nexport class MPNetForMaskedLM extends MPNetPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<MaskedLMOutput>} An object containing the model's output logits for masked language modeling.\n */\n async _call(model_inputs) {\n return new MaskedLMOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * MPNetForSequenceClassification is a class representing a MPNet model for sequence classification.\n */\nexport class MPNetForSequenceClassification extends MPNetPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * MPNetForTokenClassification is a class representing a MPNet model for token classification.\n */\nexport class MPNetForTokenClassification extends MPNetPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n */\n async _call(model_inputs) {\n return new TokenClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * MPNetForQuestionAnswering is a class representing a MPNet model for question answering.\n */\nexport class MPNetForQuestionAnswering extends MPNetPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<QuestionAnsweringModelOutput>} An object containing the model's output logits for question answering.\n */\n async _call(model_inputs) {\n return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// SqueezeBert models\nexport class SqueezeBertPreTrainedModel extends PreTrainedModel { }\nexport class SqueezeBertModel extends SqueezeBertPreTrainedModel { }\nexport class SqueezeBertForMaskedLM extends SqueezeBertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<MaskedLMOutput>} returned object\n */\n async _call(model_inputs) {\n return new MaskedLMOutput(await super._call(model_inputs));\n }\n}\nexport class SqueezeBertForSequenceClassification extends SqueezeBertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} returned object\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\nexport class SqueezeBertForQuestionAnswering extends SqueezeBertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<QuestionAnsweringModelOutput>} returned object\n */\n async _call(model_inputs) {\n return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Albert models\nexport class AlbertPreTrainedModel extends PreTrainedModel { }\nexport class AlbertModel extends AlbertPreTrainedModel { }\nexport class AlbertForSequenceClassification extends AlbertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} returned object\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\nexport class AlbertForQuestionAnswering extends AlbertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<QuestionAnsweringModelOutput>} returned object\n */\n async _call(model_inputs) {\n return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n }\n}\nexport class AlbertForMaskedLM extends AlbertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<MaskedLMOutput>} returned object\n */\n async _call(model_inputs) {\n return new MaskedLMOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// T5 models\nexport class T5PreTrainedModel extends PreTrainedModel {\n forward_params = [\n 'input_ids',\n 'attention_mask',\n 'encoder_outputs',\n 'decoder_input_ids',\n 'decoder_attention_mask',\n 'past_key_values',\n ];\n};\n\nexport class T5Model extends T5PreTrainedModel { }\n\n/**\n * T5Model is a class representing a T5 model for conditional generation.\n */\nexport class T5ForConditionalGeneration extends T5PreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// LONGT5 models\n/**\n * An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained models.\n */\nexport class LongT5PreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare LONGT5 Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class LongT5Model extends LongT5PreTrainedModel { }\n\n/**\n * LONGT5 Model with a `language modeling` head on top.\n */\nexport class LongT5ForConditionalGeneration extends LongT5PreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// MT5 models\nexport class MT5PreTrainedModel extends PreTrainedModel { };\n\nexport class MT5Model extends MT5PreTrainedModel { }\n\n/**\n * A class representing a conditional sequence-to-sequence model based on the MT5 architecture.\n */\nexport class MT5ForConditionalGeneration extends MT5PreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Bart models\nexport class BartPretrainedModel extends PreTrainedModel { };\n\n/**\n * The bare BART Model outputting raw hidden-states without any specific head on top.\n */\nexport class BartModel extends BartPretrainedModel { }\n\n/**\n * The BART Model with a language modeling head. Can be used for summarization.\n */\nexport class BartForConditionalGeneration extends BartPretrainedModel { }\n\n/**\n * Bart model with a sequence classification/head on top (a linear layer on top of the pooled output)\n */\nexport class BartForSequenceClassification extends BartPretrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// MBart models\nexport class MBartPreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare MBART Model outputting raw hidden-states without any specific head on top.\n */\nexport class MBartModel extends MBartPreTrainedModel { }\n\n/**\n * The MBART Model with a language modeling head. Can be used for summarization, after fine-tuning the pretrained models.\n */\nexport class MBartForConditionalGeneration extends MBartPreTrainedModel { }\n\n/**\n * MBart model with a sequence classification/head on top (a linear layer on top of the pooled output).\n */\nexport class MBartForSequenceClassification extends MBartPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n\n\nexport class MBartForCausalLM extends MBartPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Blenderbot models\nexport class BlenderbotPreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare Blenderbot Model outputting raw hidden-states without any specific head on top.\n */\nexport class BlenderbotModel extends BlenderbotPreTrainedModel { }\n\n/**\n * The Blenderbot Model with a language modeling head. Can be used for summarization.\n */\nexport class BlenderbotForConditionalGeneration extends BlenderbotPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Blenderbot models\nexport class BlenderbotSmallPreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare BlenderbotSmall Model outputting raw hidden-states without any specific head on top.\n */\nexport class BlenderbotSmallModel extends BlenderbotSmallPreTrainedModel { }\n\n/**\n * The BlenderbotSmall Model with a language modeling head. Can be used for summarization.\n */\nexport class BlenderbotSmallForConditionalGeneration extends BlenderbotSmallPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Roberta models\nexport class RobertaPreTrainedModel extends PreTrainedModel { }\nexport class RobertaModel extends RobertaPreTrainedModel { }\n\n/**\n * RobertaForMaskedLM class for performing masked language modeling on Roberta models.\n */\nexport class RobertaForMaskedLM extends RobertaPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<MaskedLMOutput>} returned object\n */\n async _call(model_inputs) {\n return new MaskedLMOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * RobertaForSequenceClassification class for performing sequence classification on Roberta models.\n */\nexport class RobertaForSequenceClassification extends RobertaPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} returned object\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * RobertaForTokenClassification class for performing token classification on Roberta models.\n */\nexport class RobertaForTokenClassification extends RobertaPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n */\n async _call(model_inputs) {\n return new TokenClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * RobertaForQuestionAnswering class for performing question answering on Roberta models.\n */\nexport class RobertaForQuestionAnswering extends RobertaPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<QuestionAnsweringModelOutput>} returned object\n */\n async _call(model_inputs) {\n return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// XLM models\n/**\n * An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained models.\n */\nexport class XLMPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare XLM Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class XLMModel extends XLMPreTrainedModel { }\n\n/**\n * The XLM Model transformer with a language modeling head on top (linear layer with weights tied to the input embeddings).\n */\nexport class XLMWithLMHeadModel extends XLMPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<MaskedLMOutput>} returned object\n */\n async _call(model_inputs) {\n return new MaskedLMOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * XLM Model with a sequence classification/regression head on top (a linear layer on top of the pooled output)\n */\nexport class XLMForSequenceClassification extends XLMPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} returned object\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * XLM Model with a token classification head on top (a linear layer on top of the hidden-states output)\n */\nexport class XLMForTokenClassification extends XLMPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n */\n async _call(model_inputs) {\n return new TokenClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * XLM Model with a span classification head on top for extractive question-answering tasks\n */\nexport class XLMForQuestionAnswering extends XLMPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<QuestionAnsweringModelOutput>} returned object\n */\n async _call(model_inputs) {\n return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// XLMRoberta models\nexport class XLMRobertaPreTrainedModel extends PreTrainedModel { }\nexport class XLMRobertaModel extends XLMRobertaPreTrainedModel { }\n\n/**\n * XLMRobertaForMaskedLM class for performing masked language modeling on XLMRoberta models.\n */\nexport class XLMRobertaForMaskedLM extends XLMRobertaPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<MaskedLMOutput>} returned object\n */\n async _call(model_inputs) {\n return new MaskedLMOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * XLMRobertaForSequenceClassification class for performing sequence classification on XLMRoberta models.\n */\nexport class XLMRobertaForSequenceClassification extends XLMRobertaPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} returned object\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * XLMRobertaForTokenClassification class for performing token classification on XLMRoberta models.\n */\nexport class XLMRobertaForTokenClassification extends XLMRobertaPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for token classification.\n */\n async _call(model_inputs) {\n return new TokenClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * XLMRobertaForQuestionAnswering class for performing question answering on XLMRoberta models.\n */\nexport class XLMRobertaForQuestionAnswering extends XLMRobertaPreTrainedModel {\n /**\n * Calls the model on new inputs.\n *\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<QuestionAnsweringModelOutput>} returned object\n */\n async _call(model_inputs) {\n return new QuestionAnsweringModelOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Audio Spectrogram Transformer (AST) models\nexport class ASTPreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare AST Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class ASTModel extends ASTPreTrainedModel { }\n\n/**\n * Audio Spectrogram Transformer model with an audio classification head on top\n * (a linear layer on top of the pooled output) e.g. for datasets like AudioSet, Speech Commands v2.\n */\nexport class ASTForAudioClassification extends ASTPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Whisper models\nexport class WhisperPreTrainedModel extends PreTrainedModel {\n\n requires_attention_mask = false;\n main_input_name = 'input_features';\n forward_params = [\n 'input_features',\n 'attention_mask',\n 'decoder_input_ids',\n 'decoder_attention_mask',\n 'past_key_values',\n ];\n};\n\n/**\n * WhisperModel class for training Whisper models without a language model head.\n */\nexport class WhisperModel extends WhisperPreTrainedModel { }\n\n\n/**\n * WhisperForConditionalGeneration class for generating conditional outputs from Whisper models.\n */\nexport class WhisperForConditionalGeneration extends WhisperPreTrainedModel {\n\n _prepare_generation_config(generation_config, kwargs) {\n return /** @type {WhisperGenerationConfig} */ (super._prepare_generation_config(generation_config, kwargs, WhisperGenerationConfig));\n }\n\n /**\n * \n * @param {WhisperGenerationConfig} generation_config \n */\n _retrieve_init_tokens(generation_config) {\n // prefix tokens are of the form: \n // - Multilingual: <|startoftranscript|> <|lang_id|> <|task|> [<|notimestamps|>]\n // - English-only: <|startoftranscript|> [<|notimestamps|>]\n\n // 1. Handle <|startoftranscript|> token\n const init_tokens = [generation_config.decoder_start_token_id];\n\n // 2. Handle <|lang_id|> and <|task> tokens\n let language = generation_config.language;\n const task = generation_config.task;\n if (generation_config.is_multilingual) {\n if (!language) {\n // TODO: Implement language detection\n console.warn('No language specified - defaulting to English (en).');\n language = 'en';\n }\n\n // Add language token\n const language_code = whisper_language_to_code(language);\n const language_token = `<|${language_code}|>`;\n init_tokens.push(generation_config.lang_to_id[language_token])\n\n // Add task token\n // NOTE: Defaults to 'transcribe' if no task is specified\n init_tokens.push(generation_config.task_to_id[task ?? 'transcribe']);\n\n } else if (language || task) {\n throw new Error(\n \"Cannot specify `task` or `language` for an English-only model. If the model is intended to be multilingual, pass `is_multilingual=true` to generate, or update the generation config.\"\n )\n }\n\n // 3. Handle <|notimestamps|> token\n if (\n !generation_config.return_timestamps\n && generation_config.no_timestamps_token_id\n && init_tokens.at(-1) !== generation_config.no_timestamps_token_id\n ) {\n init_tokens.push(generation_config.no_timestamps_token_id);\n } else if (\n generation_config.return_timestamps\n &&\n init_tokens.at(-1) === generation_config.no_timestamps_token_id\n ) {\n console.warn(\"<|notimestamps|> prompt token is removed from generation_config since `return_timestamps` is set to `true`.\");\n init_tokens.pop();\n }\n\n // let's make sure we don't pass `null` tokens as prompt tokens\n return init_tokens.filter(token => token != null);\n }\n\n /**\n * Transcribes or translates log-mel input features to a sequence of auto-regressively generated token ids.\n * @param {import('./models/whisper/generation_whisper.js').WhisperGenerationFunctionParameters} options\n * @returns {Promise<ModelOutput|Tensor>} The output of the model, which can contain the generated token ids, attentions, and scores.\n */\n async generate({\n inputs = null,\n generation_config = null,\n logits_processor = null,\n stopping_criteria = null,\n\n // Whisper-specific options (passed to kwargs)\n // prompt_ids = null,\n // language = null,\n // task = null,\n\n ...kwargs\n }) {\n generation_config = this._prepare_generation_config(generation_config, kwargs);\n\n const init_tokens = kwargs.decoder_input_ids ?? this._retrieve_init_tokens(generation_config);\n\n if (generation_config.return_timestamps) {\n logits_processor ??= new LogitsProcessorList();\n logits_processor.push(\n new WhisperTimeStampLogitsProcessor(generation_config, init_tokens)\n );\n }\n\n if (generation_config.begin_suppress_tokens) {\n logits_processor ??= new LogitsProcessorList();\n logits_processor.push(\n new SuppressTokensAtBeginLogitsProcessor(generation_config.begin_suppress_tokens, init_tokens.length)\n );\n }\n\n if (generation_config.return_token_timestamps) {\n if (!generation_config.alignment_heads) {\n throw new Error(\n \"Model generation config has no `alignment_heads`, token-level timestamps not available. \" +\n \"See https://gist.github.com/hollance/42e32852f24243b748ae6bc1f985b13a on how to add this property to the generation config.\"\n )\n }\n\n if (generation_config.task === 'translate') {\n console.warn(\"Token-level timestamps may not be reliable for task 'translate'.\")\n }\n\n generation_config.output_attentions = true;\n generation_config.return_dict_in_generate = true;\n }\n\n const outputs = await super.generate({\n inputs,\n generation_config,\n logits_processor,\n decoder_input_ids: init_tokens,\n ...kwargs\n });\n\n if (generation_config.return_token_timestamps) {\n outputs[\"token_timestamps\"] = this._extract_token_timestamps(\n // @ts-expect-error TS2345\n outputs,\n generation_config.alignment_heads,\n generation_config.num_frames,\n );\n }\n\n return outputs;\n }\n\n /**\n * Calculates token-level timestamps using the encoder-decoder cross-attentions and\n * dynamic time-warping (DTW) to map each output token to a position in the input audio.\n * If `num_frames` is specified, the encoder-decoder cross-attentions will be cropped before applying DTW.\n * @param {Object} generate_outputs Outputs generated by the model\n * @param {Tensor[][]} generate_outputs.cross_attentions The cross attentions output by the model\n * @param {Tensor} generate_outputs.sequences The sequences output by the model\n * @param {number[][]} alignment_heads Alignment heads of the model\n * @param {number} [num_frames=null] Number of frames in the input audio.\n * @param {number} [time_precision=0.02] Precision of the timestamps in seconds\n * @returns {Tensor} tensor containing the timestamps in seconds for each predicted token\n */\n _extract_token_timestamps(generate_outputs, alignment_heads, num_frames = null, time_precision = 0.02) {\n if (!generate_outputs.cross_attentions) {\n throw new Error(\n \"Model outputs must contain cross attentions to extract timestamps. \" +\n \"This is most likely because the model was not exported with `output_attentions=True`.\"\n )\n }\n if (num_frames == null) {\n console.warn(\n \"`num_frames` has not been set, meaning the entire audio will be analyzed. \" +\n \"This may lead to inaccurate token-level timestamps for short audios (< 30 seconds).\"\n );\n }\n\n // @ts-expect-error TS2339\n let median_filter_width = this.config.median_filter_width;\n if (median_filter_width === undefined) {\n console.warn(\"Model config has no `median_filter_width`, using default value of 7.\")\n median_filter_width = 7;\n }\n\n // TODO: Improve batch processing\n const batch = generate_outputs.cross_attentions;\n // Create a list with `decoder_layers` elements, each a tensor of shape\n // (batch size, attention_heads, output length, input length).\n // @ts-expect-error TS2339\n const cross_attentions = Array.from({ length: this.config.decoder_layers },\n // Concatenate the cross attentions for each layer across sequence length dimension.\n (_, i) => cat(batch.map(x => x[i]), 2)\n );\n\n const weights = stack(alignment_heads.map(([l, h]) => {\n if (l >= cross_attentions.length) {\n throw new Error(`Layer index ${l} is out of bounds for cross attentions (length ${cross_attentions.length}).`)\n }\n return num_frames\n ? cross_attentions[l].slice(null, h, null, [0, num_frames])\n : cross_attentions[l].slice(null, h);\n })).transpose(1, 0, 2, 3);\n\n const [std, calculatedMean] = std_mean(weights, -2, 0, true);\n\n // Normalize and smoothen the weights.\n const smoothedWeights = weights.clone(); // [1, 8, seqLength, 1500]\n\n for (let a = 0; a < smoothedWeights.dims[0]; ++a) {\n const aTensor = smoothedWeights[a]; // [8, seqLength, 1500]\n\n for (let b = 0; b < aTensor.dims[0]; ++b) {\n const bTensor = aTensor[b]; // [seqLength, 1500]\n\n const stdTensorData = std[a][b][0].data; // [1500]\n const meanTensorData = calculatedMean[a][b][0].data; // [1500]\n\n for (let c = 0; c < bTensor.dims[0]; ++c) {\n\n let cTensorData = bTensor[c].data; // [1500]\n for (let d = 0; d < cTensorData.length; ++d) {\n cTensorData[d] = (cTensorData[d] - meanTensorData[d]) / stdTensorData[d]\n }\n\n // Apply median filter.\n cTensorData.set(medianFilter(cTensorData, median_filter_width))\n }\n }\n }\n\n // Average the different cross-attention heads.\n const batchedMatrices = [mean(smoothedWeights, 1)];\n\n const timestampsShape = generate_outputs.sequences.dims;\n\n const timestamps = new Tensor(\n 'float32',\n new Float32Array(timestampsShape[0] * timestampsShape[1]),\n timestampsShape\n );\n\n // Perform dynamic time warping on each element of the batch.\n for (let batch_idx = 0; batch_idx < timestampsShape[0]; ++batch_idx) {\n // NOTE: Since we run only one batch at a time, we can squeeze to get the same dimensions\n // as the python implementation\n const matrix = batchedMatrices[batch_idx].neg().squeeze_(0);\n const [text_indices, time_indices] = dynamic_time_warping(matrix.tolist());\n\n const diffs = Array.from({ length: text_indices.length - 1 }, (v, i) => text_indices[i + 1] - text_indices[i]);\n const jumps = mergeArrays([1], diffs).map(x => !!x); // convert to boolean\n\n const jump_times = [];\n for (let i = 0; i < jumps.length; ++i) {\n if (jumps[i]) {\n // NOTE: No point in rounding here, since we set to Float32Array later\n jump_times.push(time_indices[i] * time_precision);\n }\n }\n timestamps[batch_idx].data.set(jump_times, 1)\n }\n\n return timestamps;\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Moonshine models\nexport class MoonshinePreTrainedModel extends PreTrainedModel {\n\n requires_attention_mask = false;\n main_input_name = 'input_values';\n forward_params = [\n 'input_values',\n 'decoder_input_ids',\n 'past_key_values',\n ];\n};\n\n/**\n * MoonshineModel class for training Moonshine models without a language model head.\n */\nexport class MoonshineModel extends MoonshinePreTrainedModel { }\n\nexport class MoonshineForConditionalGeneration extends MoonshinePreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n/**\n * Vision Encoder-Decoder model based on OpenAI's GPT architecture for image captioning and other vision tasks\n */\nexport class VisionEncoderDecoderModel extends PreTrainedModel {\n main_input_name = 'pixel_values';\n forward_params = [\n // Encoder inputs\n 'pixel_values',\n\n // Decoder inpputs\n 'decoder_input_ids',\n 'encoder_hidden_states',\n 'past_key_values',\n ];\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// LLaVa Models\nexport class LlavaPreTrainedModel extends PreTrainedModel {\n forward_params = [\n 'input_ids',\n 'attention_mask',\n 'pixel_values',\n 'position_ids',\n 'past_key_values',\n ];\n}\n\n/**\n * The LLAVA model which consists of a vision backbone and a language model.\n */\nexport class LlavaForConditionalGeneration extends LlavaPreTrainedModel {\n\n _merge_input_ids_with_image_features({\n inputs_embeds,\n image_features,\n input_ids,\n attention_mask,\n }) {\n\n // @ts-expect-error TS2339\n const image_token_index = this.config.image_token_index;\n\n const idsList = input_ids.tolist();\n\n // NOTE: we use .findIndex instead of .indexOf to perform weak comparison (==) between BigInt and Number\n const indexOfImage = idsList.map(x => x.findIndex(x => x == image_token_index));\n\n const noImages = indexOfImage.every(x => x === -1);\n const allImages = indexOfImage.every(x => x !== -1);\n if (!noImages && !allImages) {\n // Check for padding reasons\n throw new Error('Every input should contain either 0 or 1 image token.');\n }\n\n if (noImages) {\n return {\n inputs_embeds,\n attention_mask,\n }\n }\n\n const stacked = [];\n const stacked_attention_mask = [];\n for (let i = 0; i < indexOfImage.length; ++i) {\n const index = indexOfImage[i];\n\n const e = inputs_embeds[i];\n const im = image_features[i];\n const am = attention_mask[i];\n stacked.push(\n cat([\n e.slice([0, index]),\n im,\n e.slice([index + 1, e.dims[0]]),\n ], 0)\n );\n\n stacked_attention_mask.push(\n cat([\n am.slice([0, index]),\n ones([im.dims[0]]),\n am.slice([index + 1, am.dims[0]])\n ], 0)\n )\n }\n\n return {\n inputs_embeds: stack(stacked, 0),\n attention_mask: stack(stacked_attention_mask, 0),\n }\n }\n}\n//////////////////////////////////////////////////\n\nexport class LlavaOnevisionForConditionalGeneration extends LlavaForConditionalGeneration { } // NOTE: extends LlavaForConditionalGeneration\nexport class Moondream1ForConditionalGeneration extends LlavaForConditionalGeneration { } // NOTE: extends LlavaForConditionalGeneration\n\nexport class Florence2PreTrainedModel extends PreTrainedModel {\n forward_params = [\n // Encoder inputs\n 'input_ids',\n 'inputs_embeds',\n 'attention_mask',\n 'pixel_values',\n\n // Decoder inputs\n 'encoder_outputs',\n 'decoder_input_ids',\n 'decoder_inputs_embeds',\n 'decoder_attention_mask',\n 'past_key_values',\n ];\n main_input_name = 'inputs_embeds';\n}\n\nexport class Florence2ForConditionalGeneration extends Florence2PreTrainedModel {\n\n _merge_input_ids_with_image_features({\n inputs_embeds,\n image_features,\n input_ids,\n attention_mask,\n }) {\n return {\n inputs_embeds: cat([\n image_features, // image embeds\n inputs_embeds, // task prefix embeds\n ], 1),\n attention_mask: cat([\n ones(image_features.dims.slice(0, 2)), // image attention mask\n attention_mask, // task prefix attention mask\n ], 1),\n }\n }\n\n async _prepare_inputs_embeds({ input_ids, pixel_values, inputs_embeds, attention_mask }) {\n if (!input_ids && !pixel_values) {\n throw new Error('Either `input_ids` or `pixel_values` should be provided.');\n }\n\n // 1. Possibly, extract the input embeddings\n let text_features, image_features;\n if (input_ids) {\n text_features = await this.encode_text({ input_ids });\n }\n if (pixel_values) {\n image_features = await this.encode_image({ pixel_values });\n }\n\n // 2. Possibly, merge text and images\n if (text_features && image_features) {\n ({ inputs_embeds, attention_mask } = this._merge_input_ids_with_image_features({\n inputs_embeds: text_features,\n image_features,\n input_ids,\n attention_mask,\n }));\n } else {\n inputs_embeds = text_features || image_features;\n }\n\n return { inputs_embeds, attention_mask };\n }\n\n async forward({\n input_ids,\n pixel_values,\n attention_mask,\n decoder_input_ids,\n decoder_attention_mask,\n encoder_outputs,\n past_key_values,\n\n inputs_embeds,\n decoder_inputs_embeds,\n }) {\n if (!inputs_embeds) {\n ({ inputs_embeds, attention_mask } = await this._prepare_inputs_embeds({ input_ids, pixel_values, inputs_embeds, attention_mask }));\n }\n\n if (!encoder_outputs) {\n // Must compute encoder outputs\n let { last_hidden_state } = await encoderForward(this, { inputs_embeds, attention_mask });\n encoder_outputs = last_hidden_state;\n }\n\n if (!decoder_inputs_embeds) {\n if (!decoder_input_ids) {\n throw new Error('Either `decoder_input_ids` or `decoder_inputs_embeds` should be provided.');\n }\n decoder_inputs_embeds = await this.encode_text({ input_ids: decoder_input_ids });\n }\n\n const decoderFeeds = {\n inputs_embeds: decoder_inputs_embeds,\n attention_mask: decoder_attention_mask,\n encoder_attention_mask: attention_mask,\n encoder_hidden_states: encoder_outputs,\n past_key_values,\n };\n const decoder_outputs = await decoderForward(this, decoderFeeds, true);\n return decoder_outputs;\n }\n}\n\nexport class PaliGemmaPreTrainedModel extends PreTrainedModel {\n forward_params = [\n 'input_ids',\n // 'inputs_embeds',\n 'attention_mask',\n 'pixel_values',\n 'position_ids',\n 'past_key_values',\n ];\n}\n\nexport class PaliGemmaForConditionalGeneration extends PaliGemmaPreTrainedModel {\n _merge_input_ids_with_image_features(kwargs) {\n const vision_hidden_size = kwargs.image_features.dims.at(-1);\n const reshaped_image_hidden_states = kwargs.image_features.view(-1, vision_hidden_size);\n\n return default_merge_input_ids_with_image_features({\n // @ts-ignore\n image_token_id: this.config.image_token_index,\n ...kwargs,\n image_features: reshaped_image_hidden_states,\n })\n }\n}\n\n//////////////////////////////////////////////////\n// Idefics3 Models\nexport class Idefics3PreTrainedModel extends PreTrainedModel {\n forward_params = [\n 'input_ids',\n 'attention_mask',\n 'pixel_values',\n 'pixel_attention_mask',\n 'position_ids',\n 'past_key_values',\n ];\n}\n\n/**\n * The LLAVA model which consists of a vision backbone and a language model.\n */\nexport class Idefics3ForConditionalGeneration extends Idefics3PreTrainedModel {\n\n async encode_image({ pixel_values, pixel_attention_mask }) {\n const features = (await sessionRun(this.sessions['vision_encoder'], { pixel_values, pixel_attention_mask })).image_features;\n return features;\n }\n\n _merge_input_ids_with_image_features(kwargs) {\n const vision_hidden_size = kwargs.image_features.dims.at(-1);\n const reshaped_image_hidden_states = kwargs.image_features.view(-1, vision_hidden_size);\n\n return default_merge_input_ids_with_image_features({\n // @ts-ignore\n image_token_id: this.config.image_token_id,\n ...kwargs,\n image_features: reshaped_image_hidden_states,\n })\n }\n}\n//////////////////////////////////////////////////\n\nexport class Phi3VPreTrainedModel extends PreTrainedModel {\n forward_params = [\n 'input_ids',\n 'inputs_embeds',\n 'attention_mask',\n 'position_ids',\n 'pixel_values',\n 'image_sizes',\n 'past_key_values',\n ];\n}\nexport class Phi3VForCausalLM extends Phi3VPreTrainedModel {\n\n async forward({\n // Produced by the tokenizer/processor:\n input_ids = null,\n attention_mask = null,\n pixel_values = null,\n image_sizes = null,\n\n // Used during generation:\n position_ids = null,\n inputs_embeds = null,\n past_key_values = null,\n\n // Generic generation parameters\n generation_config = null,\n logits_processor = null,\n\n // TODO: needed?\n ...kwargs\n }) {\n if (!inputs_embeds) {\n let image_features;\n if (pixel_values && input_ids.dims[1] !== 1) {\n if (!image_sizes) {\n throw new Error('`image_sizes` must be provided when `pixel_values` is provided.');\n }\n\n // Encode the image\n ({ image_features } = await sessionRun(this.sessions['vision_encoder'], {\n pixel_values,\n image_sizes,\n }));\n } else {\n const hidden_size = this.config.normalized_config.hidden_size;\n image_features = new Tensor(\n 'float32',\n [],\n [0, hidden_size],\n );\n }\n\n ({ inputs_embeds } = await sessionRun(this.sessions['prepare_inputs_embeds'], {\n input_ids,\n image_features,\n }));\n }\n\n const outputs = await decoderForward(this, {\n inputs_embeds,\n past_key_values,\n attention_mask,\n position_ids,\n generation_config,\n logits_processor,\n }, false);\n return outputs;\n }\n}\n\n//////////////////////////////////////////////////\nexport class CLIPPreTrainedModel extends PreTrainedModel { }\n\n/**\n * CLIP Text and Vision Model with a projection layers on top\n * \n * **Example:** Perform zero-shot image classification with a `CLIPModel`.\n * \n * ```javascript\n * import { AutoTokenizer, AutoProcessor, CLIPModel, RawImage } from '@huggingface/transformers';\n * \n * // Load tokenizer, processor, and model\n * let tokenizer = await AutoTokenizer.from_pretrained('Xenova/clip-vit-base-patch16');\n * let processor = await AutoProcessor.from_pretrained('Xenova/clip-vit-base-patch16');\n * let model = await CLIPModel.from_pretrained('Xenova/clip-vit-base-patch16');\n * \n * // Run tokenization\n * let texts = ['a photo of a car', 'a photo of a football match']\n * let text_inputs = tokenizer(texts, { padding: true, truncation: true });\n * \n * // Read image and run processor\n * let image = await RawImage.read('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/football-match.jpg');\n * let image_inputs = await processor(image);\n * \n * // Run model with both text and pixel inputs\n * let output = await model({ ...text_inputs, ...image_inputs });\n * // {\n * // logits_per_image: Tensor {\n * // dims: [ 1, 2 ],\n * // data: Float32Array(2) [ 18.579734802246094, 24.31830596923828 ],\n * // },\n * // logits_per_text: Tensor {\n * // dims: [ 2, 1 ],\n * // data: Float32Array(2) [ 18.579734802246094, 24.31830596923828 ],\n * // },\n * // text_embeds: Tensor {\n * // dims: [ 2, 512 ],\n * // data: Float32Array(1024) [ ... ],\n * // },\n * // image_embeds: Tensor {\n * // dims: [ 1, 512 ],\n * // data: Float32Array(512) [ ... ],\n * // }\n * // }\n * ```\n */\nexport class CLIPModel extends CLIPPreTrainedModel { }\n\n/**\n * The text model from CLIP without any head or projection on top.\n */\nexport class CLIPTextModel extends CLIPPreTrainedModel {\n /** @type {typeof PreTrainedModel.from_pretrained} */\n static async from_pretrained(pretrained_model_name_or_path, options = {}) {\n return super.from_pretrained(pretrained_model_name_or_path, {\n ...options,\n // Update default model file name if not provided\n model_file_name: options.model_file_name ?? 'text_model',\n });\n }\n}\n\n/**\n * CLIP Text Model with a projection layer on top (a linear layer on top of the pooled output)\n * \n * **Example:** Compute text embeddings with `CLIPTextModelWithProjection`.\n * \n * ```javascript\n * import { AutoTokenizer, CLIPTextModelWithProjection } from '@huggingface/transformers';\n * \n * // Load tokenizer and text model\n * const tokenizer = await AutoTokenizer.from_pretrained('Xenova/clip-vit-base-patch16');\n * const text_model = await CLIPTextModelWithProjection.from_pretrained('Xenova/clip-vit-base-patch16');\n * \n * // Run tokenization\n * let texts = ['a photo of a car', 'a photo of a football match'];\n * let text_inputs = tokenizer(texts, { padding: true, truncation: true });\n * \n * // Compute embeddings\n * const { text_embeds } = await text_model(text_inputs);\n * // Tensor {\n * // dims: [ 2, 512 ],\n * // type: 'float32',\n * // data: Float32Array(1024) [ ... ],\n * // size: 1024\n * // }\n * ```\n */\nexport class CLIPTextModelWithProjection extends CLIPPreTrainedModel {\n /** @type {typeof PreTrainedModel.from_pretrained} */\n static async from_pretrained(pretrained_model_name_or_path, options = {}) {\n return super.from_pretrained(pretrained_model_name_or_path, {\n ...options,\n // Update default model file name if not provided\n model_file_name: options.model_file_name ?? 'text_model',\n });\n }\n}\n\n/**\n * The vision model from CLIP without any head or projection on top.\n */\nexport class CLIPVisionModel extends CLIPPreTrainedModel {\n /** @type {typeof PreTrainedModel.from_pretrained} */\n static async from_pretrained(pretrained_model_name_or_path, options = {}) {\n return super.from_pretrained(pretrained_model_name_or_path, {\n ...options,\n // Update default model file name if not provided\n model_file_name: options.model_file_name ?? 'vision_model',\n });\n }\n}\n\n/**\n * CLIP Vision Model with a projection layer on top (a linear layer on top of the pooled output)\n * \n * **Example:** Compute vision embeddings with `CLIPVisionModelWithProjection`.\n * \n * ```javascript\n * import { AutoProcessor, CLIPVisionModelWithProjection, RawImage} from '@huggingface/transformers';\n * \n * // Load processor and vision model\n * const processor = await AutoProcessor.from_pretrained('Xenova/clip-vit-base-patch16');\n * const vision_model = await CLIPVisionModelWithProjection.from_pretrained('Xenova/clip-vit-base-patch16');\n * \n * // Read image and run processor\n * let image = await RawImage.read('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/football-match.jpg');\n * let image_inputs = await processor(image);\n * \n * // Compute embeddings\n * const { image_embeds } = await vision_model(image_inputs);\n * // Tensor {\n * // dims: [ 1, 512 ],\n * // type: 'float32',\n * // data: Float32Array(512) [ ... ],\n * // size: 512\n * // }\n * ```\n */\nexport class CLIPVisionModelWithProjection extends CLIPPreTrainedModel {\n /** @type {typeof PreTrainedModel.from_pretrained} */\n static async from_pretrained(pretrained_model_name_or_path, options = {}) {\n return super.from_pretrained(pretrained_model_name_or_path, {\n ...options,\n // Update default model file name if not provided\n model_file_name: options.model_file_name ?? 'vision_model',\n });\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// SigLIP models\nexport class SiglipPreTrainedModel extends PreTrainedModel { }\n\n/**\n * SigLIP Text and Vision Model with a projection layers on top\n * \n * **Example:** Perform zero-shot image classification with a `SiglipModel`.\n * \n * ```javascript\n * import { AutoTokenizer, AutoProcessor, SiglipModel, RawImage } from '@huggingface/transformers';\n * \n * // Load tokenizer, processor, and model\n * const tokenizer = await AutoTokenizer.from_pretrained('Xenova/siglip-base-patch16-224');\n * const processor = await AutoProcessor.from_pretrained('Xenova/siglip-base-patch16-224');\n * const model = await SiglipModel.from_pretrained('Xenova/siglip-base-patch16-224');\n * \n * // Run tokenization\n * const texts = ['a photo of 2 cats', 'a photo of 2 dogs'];\n * const text_inputs = tokenizer(texts, { padding: 'max_length', truncation: true });\n * \n * // Read image and run processor\n * const image = await RawImage.read('http://images.cocodataset.org/val2017/000000039769.jpg');\n * const image_inputs = await processor(image);\n * \n * // Run model with both text and pixel inputs\n * const output = await model({ ...text_inputs, ...image_inputs });\n * // {\n * // logits_per_image: Tensor {\n * // dims: [ 1, 2 ],\n * // data: Float32Array(2) [ -1.6019744873046875, -10.720091819763184 ],\n * // },\n * // logits_per_text: Tensor {\n * // dims: [ 2, 1 ],\n * // data: Float32Array(2) [ -1.6019744873046875, -10.720091819763184 ],\n * // },\n * // text_embeds: Tensor {\n * // dims: [ 2, 768 ],\n * // data: Float32Array(1536) [ ... ],\n * // },\n * // image_embeds: Tensor {\n * // dims: [ 1, 768 ],\n * // data: Float32Array(768) [ ... ],\n * // }\n * // }\n * ```\n */\nexport class SiglipModel extends SiglipPreTrainedModel { }\n\n/**\n * The text model from SigLIP without any head or projection on top.\n * \n * **Example:** Compute text embeddings with `SiglipTextModel`.\n * \n * ```javascript\n * import { AutoTokenizer, SiglipTextModel } from '@huggingface/transformers';\n * \n * // Load tokenizer and text model\n * const tokenizer = await AutoTokenizer.from_pretrained('Xenova/siglip-base-patch16-224');\n * const text_model = await SiglipTextModel.from_pretrained('Xenova/siglip-base-patch16-224');\n * \n * // Run tokenization\n * const texts = ['a photo of 2 cats', 'a photo of 2 dogs'];\n * const text_inputs = tokenizer(texts, { padding: 'max_length', truncation: true });\n * \n * // Compute embeddings\n * const { pooler_output } = await text_model(text_inputs);\n * // Tensor {\n * // dims: [ 2, 768 ],\n * // type: 'float32',\n * // data: Float32Array(1536) [ ... ],\n * // size: 1536\n * // }\n * ```\n */\nexport class SiglipTextModel extends SiglipPreTrainedModel {\n /** @type {typeof PreTrainedModel.from_pretrained} */\n static async from_pretrained(pretrained_model_name_or_path, options = {}) {\n return super.from_pretrained(pretrained_model_name_or_path, {\n ...options,\n // Update default model file name if not provided\n model_file_name: options.model_file_name ?? 'text_model',\n });\n }\n}\n\n/**\n * The vision model from SigLIP without any head or projection on top.\n * \n * **Example:** Compute vision embeddings with `SiglipVisionModel`.\n * \n * ```javascript\n * import { AutoProcessor, SiglipVisionModel, RawImage} from '@huggingface/transformers';\n * \n * // Load processor and vision model\n * const processor = await AutoProcessor.from_pretrained('Xenova/siglip-base-patch16-224');\n * const vision_model = await SiglipVisionModel.from_pretrained('Xenova/siglip-base-patch16-224');\n * \n * // Read image and run processor\n * const image = await RawImage.read('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/football-match.jpg');\n * const image_inputs = await processor(image);\n * \n * // Compute embeddings\n * const { pooler_output } = await vision_model(image_inputs);\n * // Tensor {\n * // dims: [ 1, 768 ],\n * // type: 'float32',\n * // data: Float32Array(768) [ ... ],\n * // size: 768\n * // }\n * ```\n */\nexport class SiglipVisionModel extends CLIPPreTrainedModel {\n /** @type {typeof PreTrainedModel.from_pretrained} */\n static async from_pretrained(pretrained_model_name_or_path, options = {}) {\n return super.from_pretrained(pretrained_model_name_or_path, {\n ...options,\n // Update default model file name if not provided\n model_file_name: options.model_file_name ?? 'vision_model',\n });\n }\n}\n//////////////////////////////////////////////////\n// ChineseCLIP models\nexport class ChineseCLIPPreTrainedModel extends PreTrainedModel { }\n\nexport class ChineseCLIPModel extends ChineseCLIPPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// JinaCLIP models\nexport class JinaCLIPPreTrainedModel extends PreTrainedModel { }\n\nexport class JinaCLIPModel extends JinaCLIPPreTrainedModel {\n async forward(model_inputs) {\n const missing_text_inputs = !model_inputs.input_ids;\n const missing_image_inputs = !model_inputs.pixel_values;\n\n if (missing_text_inputs && missing_image_inputs) {\n throw new Error('Either `input_ids` or `pixel_values` should be provided.');\n }\n\n // If either `input_ids` or `pixel_values` aren't passed, we need to create dummy input since the model requires a value to be specified.\n if (missing_text_inputs) {\n // NOTE: We cannot pass zero-dimension tensor as input for input_ids.\n // Fortunately, the majority of time is spent in the vision encoder, so this shouldn't significantly impact performance.\n model_inputs.input_ids = ones([model_inputs.pixel_values.dims[0], 1]);\n }\n\n if (missing_image_inputs) {\n // NOTE: Since we create a zero-sized tensor, this does not increase computation time.\n // @ts-ignore\n const { image_size } = this.config.vision_config;\n model_inputs.pixel_values = full([0, 3, image_size, image_size], 0.0); // (pass zero-dimension tensor)\n }\n\n const { text_embeddings, image_embeddings, l2norm_text_embeddings, l2norm_image_embeddings } = await super.forward(model_inputs);\n\n const result = {};\n if (!missing_text_inputs) {\n result.text_embeddings = text_embeddings;\n result.l2norm_text_embeddings = l2norm_text_embeddings;\n }\n if (!missing_image_inputs) {\n result.image_embeddings = image_embeddings;\n result.l2norm_image_embeddings = l2norm_image_embeddings;\n }\n return result\n }\n}\n\nexport class JinaCLIPTextModel extends JinaCLIPPreTrainedModel {\n /** @type {typeof PreTrainedModel.from_pretrained} */\n static async from_pretrained(pretrained_model_name_or_path, options = {}) {\n return super.from_pretrained(pretrained_model_name_or_path, {\n ...options,\n // Update default model file name if not provided\n model_file_name: options.model_file_name ?? 'text_model',\n });\n }\n}\n\nexport class JinaCLIPVisionModel extends JinaCLIPPreTrainedModel {\n /** @type {typeof PreTrainedModel.from_pretrained} */\n static async from_pretrained(pretrained_model_name_or_path, options = {}) {\n return super.from_pretrained(pretrained_model_name_or_path, {\n ...options,\n // Update default model file name if not provided\n model_file_name: options.model_file_name ?? 'vision_model',\n });\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// CLIPSeg models\nexport class CLIPSegPreTrainedModel extends PreTrainedModel { }\n\nexport class CLIPSegModel extends CLIPSegPreTrainedModel { }\n\n/**\n * CLIPSeg model with a Transformer-based decoder on top for zero-shot and one-shot image segmentation.\n * \n * **Example:** Perform zero-shot image segmentation with a `CLIPSegForImageSegmentation` model.\n * \n * ```javascript\n * import { AutoTokenizer, AutoProcessor, CLIPSegForImageSegmentation, RawImage } from '@huggingface/transformers';\n * \n * // Load tokenizer, processor, and model\n * const tokenizer = await AutoTokenizer.from_pretrained('Xenova/clipseg-rd64-refined');\n * const processor = await AutoProcessor.from_pretrained('Xenova/clipseg-rd64-refined');\n * const model = await CLIPSegForImageSegmentation.from_pretrained('Xenova/clipseg-rd64-refined');\n * \n * // Run tokenization\n * const texts = ['a glass', 'something to fill', 'wood', 'a jar'];\n * const text_inputs = tokenizer(texts, { padding: true, truncation: true });\n * \n * // Read image and run processor\n * const image = await RawImage.read('https://github.com/timojl/clipseg/blob/master/example_image.jpg?raw=true');\n * const image_inputs = await processor(image);\n * \n * // Run model with both text and pixel inputs\n * const { logits } = await model({ ...text_inputs, ...image_inputs });\n * // logits: Tensor {\n * // dims: [4, 352, 352],\n * // type: 'float32',\n * // data: Float32Array(495616) [ ... ],\n * // size: 495616\n * // }\n * ```\n * \n * You can visualize the predictions as follows:\n * ```javascript\n * const preds = logits\n * .unsqueeze_(1)\n * .sigmoid_()\n * .mul_(255)\n * .round_()\n * .to('uint8');\n * \n * for (let i = 0; i < preds.dims[0]; ++i) {\n * const img = RawImage.fromTensor(preds[i]);\n * img.save(`prediction_${i}.png`);\n * }\n * ```\n */\nexport class CLIPSegForImageSegmentation extends CLIPSegPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// GPT2 models\nexport class GPT2PreTrainedModel extends PreTrainedModel { }\n\nexport class GPT2Model extends GPT2PreTrainedModel { }\n\n/**\n * GPT-2 language model head on top of the GPT-2 base model. This model is suitable for text generation tasks.\n */\nexport class GPT2LMHeadModel extends GPT2PreTrainedModel { }\n// export class GPT2ForSequenceClassification extends GPT2PreTrainedModel {\n// TODO\n// }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// JAIS models\nexport class JAISPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare JAIS Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class JAISModel extends JAISPreTrainedModel { }\n\n/**\n * The JAIS Model transformer with a language modeling head on top (linear layer with weights tied to the input embeddings).\n */\nexport class JAISLMHeadModel extends JAISPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// GPTNeo models\nexport class GPTNeoPreTrainedModel extends PreTrainedModel { }\nexport class GPTNeoModel extends GPTNeoPreTrainedModel { }\n\nexport class GPTNeoForCausalLM extends GPTNeoPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// GPTNeoX models\nexport class GPTNeoXPreTrainedModel extends PreTrainedModel { }\nexport class GPTNeoXModel extends GPTNeoXPreTrainedModel { }\n\nexport class GPTNeoXForCausalLM extends GPTNeoXPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// GPT-J models\nexport class GPTJPreTrainedModel extends PreTrainedModel { }\n\nexport class GPTJModel extends GPTJPreTrainedModel { }\n\nexport class GPTJForCausalLM extends GPTJPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// GPTBigCode models\nexport class GPTBigCodePreTrainedModel extends PreTrainedModel { }\n\nexport class GPTBigCodeModel extends GPTBigCodePreTrainedModel { }\n\nexport class GPTBigCodeForCausalLM extends GPTBigCodePreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// CodeGen models\nexport class CodeGenPreTrainedModel extends PreTrainedModel { }\n/**\n * CodeGenModel is a class representing a code generation model without a language model head.\n */\nexport class CodeGenModel extends CodeGenPreTrainedModel { }\n\n/**\n * CodeGenForCausalLM is a class that represents a code generation model based on the GPT-2 architecture. It extends the `CodeGenPreTrainedModel` class.\n */\nexport class CodeGenForCausalLM extends CodeGenPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// LLama models\n\n/**\n * The bare LLama Model outputting raw hidden-states without any specific head on top.\n */\nexport class LlamaPreTrainedModel extends PreTrainedModel { }\n/**\n * The bare LLaMA Model outputting raw hidden-states without any specific head on top.\n */\nexport class LlamaModel extends LlamaPreTrainedModel { }\n\nexport class LlamaForCausalLM extends LlamaPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Helium models\nexport class HeliumPreTrainedModel extends PreTrainedModel { }\nexport class HeliumModel extends HeliumPreTrainedModel { }\nexport class HeliumForCausalLM extends HeliumPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Glm models\nexport class GlmPreTrainedModel extends PreTrainedModel { }\nexport class GlmModel extends GlmPreTrainedModel { }\nexport class GlmForCausalLM extends GlmPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// EXAONE models\nexport class ExaonePreTrainedModel extends PreTrainedModel { }\nexport class ExaoneModel extends ExaonePreTrainedModel { }\nexport class ExaoneForCausalLM extends ExaonePreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// MobileLLM models\nexport class MobileLLMPreTrainedModel extends PreTrainedModel { }\nexport class MobileLLMModel extends MobileLLMPreTrainedModel { }\nexport class MobileLLMForCausalLM extends MobileLLMPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// OLMo models\nexport class OlmoPreTrainedModel extends PreTrainedModel { }\nexport class OlmoModel extends OlmoPreTrainedModel { }\nexport class OlmoForCausalLM extends OlmoPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// OLMo2 models\nexport class Olmo2PreTrainedModel extends PreTrainedModel { }\nexport class Olmo2Model extends Olmo2PreTrainedModel { }\nexport class Olmo2ForCausalLM extends Olmo2PreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Granite models\nexport class GranitePreTrainedModel extends PreTrainedModel { }\nexport class GraniteModel extends GranitePreTrainedModel { }\nexport class GraniteForCausalLM extends GranitePreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Cohere models\n\n/**\n * The bare Cohere Model outputting raw hidden-states without any specific head on top.\n */\nexport class CoherePreTrainedModel extends PreTrainedModel { }\nexport class CohereModel extends CoherePreTrainedModel { }\n\nexport class CohereForCausalLM extends CoherePreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Gemma models\n\n/**\n * The bare Gemma Model outputting raw hidden-states without any specific head on top.\n */\nexport class GemmaPreTrainedModel extends PreTrainedModel { }\n/**\n * The bare Gemma Model outputting raw hidden-states without any specific head on top.\n */\nexport class GemmaModel extends GemmaPreTrainedModel { }\n\nexport class GemmaForCausalLM extends GemmaPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Gemma2 models\n\n/**\n * The bare Gemma2 Model outputting raw hidden-states without any specific head on top.\n */\nexport class Gemma2PreTrainedModel extends PreTrainedModel { }\n/**\n * The bare Gemma2 Model outputting raw hidden-states without any specific head on top.\n */\nexport class Gemma2Model extends Gemma2PreTrainedModel { }\n\nexport class Gemma2ForCausalLM extends Gemma2PreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class OpenELMPreTrainedModel extends PreTrainedModel { }\nexport class OpenELMModel extends OpenELMPreTrainedModel { }\n\nexport class OpenELMForCausalLM extends OpenELMPreTrainedModel { }\n\n\n//////////////////////////////////////////////////\n// Qwen2 models\n\n/**\n * The bare Qwen2 Model outputting raw hidden-states without any specific head on top.\n */\nexport class Qwen2PreTrainedModel extends PreTrainedModel { }\n/**\n * The bare Qwen2 Model outputting raw hidden-states without any specific head on top.\n */\nexport class Qwen2Model extends Qwen2PreTrainedModel { }\n\nexport class Qwen2ForCausalLM extends Qwen2PreTrainedModel { }\n//////////////////////////////////////////////////\n\nexport class Qwen2VLPreTrainedModel extends PreTrainedModel {\n forward_params = [\n // Text inputs\n 'input_ids',\n 'attention_mask',\n 'position_ids',\n 'past_key_values',\n\n // Vision inputs\n 'pixel_values',\n 'image_grid_thw',\n ];\n}\nexport class Qwen2VLForConditionalGeneration extends Qwen2VLPreTrainedModel {\n\n /**\n * Calculate the 3D rope index based on image and video's temporal, height and width in LLM.\n *\n * Explanation:\n * Each embedding sequence contains vision embedding and text embedding or just contains text embedding.\n *\n * For pure text embedding sequence, the rotary position embedding has no difference with mordern LLMs.\n * Examples:\n * input_ids: [T T T T T], here T is for text.\n * temporal position_ids: [0, 1, 2, 3, 4]\n * height position_ids: [0, 1, 2, 3, 4]\n * width position_ids: [0, 1, 2, 3, 4]\n *\n * For vision and text embedding sequence, we calculate 3D rotary position embedding for vision part\n * and 1D rotary position embeddin for text part.\n * Examples:\n * Assume we have a video input with 3 temporal patches, 2 height patches and 2 width patches.\n * input_ids: [V V V V V V V V V V V V T T T T T], here V is for vision.\n * vision temporal position_ids: [0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2]\n * vision height position_ids: [0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1]\n * vision width position_ids: [0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1]\n * text temporal position_ids: [3, 4, 5, 6, 7]\n * text height position_ids: [3, 4, 5, 6, 7]\n * text width position_ids: [3, 4, 5, 6, 7]\n * Here we calculate the text start position_ids as the max vision position_ids plus 1.\n * \n * @param {Tensor} input_ids Indices of input sequence tokens in the vocabulary. Tensor of shape `(batch_size, sequence_length)`.\n * @param {Tensor} image_grid_thw (Optional) The temporal, height and width of feature shape of each image in LLM. Tensor of shape `(num_images, 3)`.\n * @param {Tensor} video_grid_thw (Optional) The temporal, height and width of feature shape of each video in LLM. Tensor of shape `(num_videos, 3)`.\n * @param {Tensor} attention_mask (Optional) Mask to avoid performing attention on padding token indices. Tensor of shape `(batch_size, sequence_length)`. Mask values selected in `[0, 1]`:\n * - 1 for tokens that are **not masked**,\n * - 0 for tokens that are **masked**.\n * @returns {[Tensor, Tensor]} [position_ids, mrope_position_deltas] with:\n * - position_ids: Tensor of shape `(3, batch_size, sequence_length)`.\n * - mrope_position_deltas: Tensor of shape `(batch_size)`.\n */\n get_rope_index(input_ids, image_grid_thw, video_grid_thw, attention_mask) {\n // @ts-ignore\n const { vision_config, image_token_id, video_token_id, vision_start_token_id } = this.config;\n const spatial_merge_size = vision_config.spatial_merge_size ?? 2;\n\n const mrope_position_deltas = [];\n if (image_grid_thw || video_grid_thw) {\n let total_input_ids = input_ids.tolist();\n if (!attention_mask) {\n attention_mask = ones_like(input_ids);\n }\n\n const attention_mask_list = attention_mask.tolist();\n const position_ids_list = Array.from({ length: 3 }, _ => Array.from({ length: input_ids.dims[0] }, _ => Array.from({ length: input_ids.dims[1] }, _ => 1)));\n\n const image_grid_thw_list = image_grid_thw ? image_grid_thw.tolist() : [];\n const video_grid_thw_list = video_grid_thw ? video_grid_thw.tolist() : [];\n\n let image_index = 0;\n let video_index = 0;\n for (let i = 0; i < total_input_ids.length; ++i) {\n const ids = total_input_ids[i].filter((_, j) => attention_mask_list[i][j] == 1);\n\n const vision_start_indices = ids.reduce((acc, x, idx) => {\n if (x == vision_start_token_id) acc.push(idx);\n return acc;\n }, []);\n\n const vision_tokens = vision_start_indices.map(x => ids[x + 1]);\n const image_nums = vision_tokens.filter(x => x == image_token_id).length;\n const video_nums = vision_tokens.filter(x => x == video_token_id).length;\n\n /** @type {number[][]} */\n let llm_pos_ids_list = [];\n let st = 0;\n let remain_images = image_nums;\n let remain_videos = video_nums;\n for (let j = 0; j < vision_tokens.length; ++j) {\n const next_image_token = ids.findIndex((x, i) => i > st && x == image_token_id);\n const next_video_token = ids.findIndex((x, i) => i > st && x == video_token_id);\n\n const ed_image = (remain_images > 0 && next_image_token !== -1)\n ? next_image_token\n : ids.length + 1;\n\n const ed_video = (remain_videos > 0 && next_video_token !== -1)\n ? next_video_token\n : ids.length + 1;\n\n let ed;\n let t, h, w;\n if (ed_image < ed_video) {\n ([t, h, w] = image_grid_thw_list[image_index]);\n ++image_index;\n --remain_images;\n ed = ed_image;\n } else {\n ([t, h, w] = video_grid_thw_list[video_index]);\n ++video_index;\n --remain_videos;\n ed = ed_video;\n }\n\n const [llm_grid_t, llm_grid_h, llm_grid_w] = [\n Number(t),\n Math.floor(Number(h) / spatial_merge_size),\n Math.floor(Number(w) / spatial_merge_size)\n ]\n const text_len = ed - st;\n const st_idx = llm_pos_ids_list.length > 0\n ? max(llm_pos_ids_list.at(-1))[0] + 1\n : 0;\n\n llm_pos_ids_list.push(\n Array.from({ length: 3 * text_len }, (_, i) => st_idx + (i % text_len))\n )\n\n const offset = text_len + st_idx;\n const grid_size = llm_grid_t * llm_grid_h * llm_grid_w;\n const t_index = Array.from({ length: grid_size }, (_, i) => offset + Math.floor(i / (llm_grid_h * llm_grid_w)))\n const h_index = Array.from({ length: grid_size }, (_, i) => offset + Math.floor(i / llm_grid_w) % llm_grid_h)\n const w_index = Array.from({ length: grid_size }, (_, i) => offset + i % llm_grid_w)\n\n llm_pos_ids_list.push([t_index, h_index, w_index].flat())\n\n st = ed + grid_size;\n }\n\n if (st < ids.length) {\n const st_idx = llm_pos_ids_list.length > 0\n ? max(llm_pos_ids_list.at(-1))[0] + 1\n : 0;\n const text_len = ids.length - st;\n\n llm_pos_ids_list.push(\n Array.from({ length: 3 * text_len }, (_, i) => (st_idx + (i % text_len)))\n )\n }\n\n // NOTE: Each item in llm_pos_ids_list is an array of shape (3, text_len),\n // meaning to perform concatenation along dim=1, we can do the following:\n const num_items = llm_pos_ids_list.reduce((acc, x) => acc + x.length, 0);\n /** @type {number[]} */\n const llm_positions = new Array(num_items);\n let index = 0;\n for (let x = 0; x < 3; ++x) {\n for (let y = 0; y < llm_pos_ids_list.length; ++y) {\n const val = llm_pos_ids_list[y];\n const text_len = val.length / 3;\n for (let z = x * text_len; z < (x + 1) * text_len; ++z) {\n llm_positions[index++] = val[z];\n }\n }\n }\n\n let count = 0;\n const attn_mask = attention_mask_list[i];\n for (let y = 0; y < attn_mask.length; ++y) {\n if (attn_mask[y] == 1) {\n for (let x = 0; x < 3; ++x) {\n position_ids_list[x][i][y] = llm_positions[x * num_items / 3 + count];\n }\n ++count;\n }\n }\n\n const max_llm_positions = max(llm_positions)[0];\n mrope_position_deltas.push(max_llm_positions + 1 - total_input_ids[i].length);\n }\n\n return [\n new Tensor('int64', position_ids_list.flat(Infinity), [3, input_ids.dims[0], input_ids.dims[1]]),\n new Tensor('int64', mrope_position_deltas, [mrope_position_deltas.length, 1]),\n ];\n\n } else { // Text-only\n if (attention_mask) {\n const { data, dims } = cumsum_masked_fill(attention_mask);\n\n const position_ids = BigInt64Array.from(\n { length: 3 * data.length },\n (_, i) => data[i % data.length]\n );\n /** @type {bigint[]} */\n const mrope_position_deltas = Array.from(\n { length: dims[0] },\n (_, i) => max(data.subarray(dims[1] * i, dims[1] * (i + 1)))[0] + 1n + BigInt(dims[1])\n );\n\n return [\n new Tensor('int64', position_ids, [3, ...dims]),\n new Tensor('int64', mrope_position_deltas, [mrope_position_deltas.length, 1]),\n ]\n } else {\n const [batch_size, seq_length] = input_ids.dims;\n const position_ids = BigInt64Array.from(\n { length: 3 * batch_size * seq_length },\n (_, i) => BigInt(Math.floor(i % seq_length / batch_size)),\n );\n\n return [\n new Tensor('int64', position_ids, [3, ...input_ids.dims]),\n zeros([batch_size, 1]),\n ]\n }\n }\n }\n\n async encode_image({ pixel_values, image_grid_thw }) {\n const features = (await sessionRun(this.sessions['vision_encoder'], { pixel_values, grid_thw: image_grid_thw })).image_features;\n return features;\n }\n\n _merge_input_ids_with_image_features(kwargs) {\n return default_merge_input_ids_with_image_features({\n // @ts-ignore\n image_token_id: this.config.image_token_id,\n ...kwargs\n })\n }\n\n prepare_inputs_for_generation(input_ids, model_inputs, generation_config) {\n // Overwritten -- in specific circumstances we don't want to forward image inputs to the model\n if (model_inputs.attention_mask && !model_inputs.position_ids) {\n // Calculate position_ids and rope_deltas\n if (!model_inputs.past_key_values) {\n ([model_inputs.position_ids, model_inputs.rope_deltas] = this.get_rope_index(\n model_inputs.input_ids,\n model_inputs.image_grid_thw,\n model_inputs.video_grid_thw,\n model_inputs.attention_mask,\n ));\n\n } else {\n model_inputs.pixel_values = null;\n // model_inputs.pixel_values_videos = null;\n\n const delta = BigInt(Object.values(model_inputs.past_key_values)[0].dims.at(-2));\n const rope_deltas_list = model_inputs.rope_deltas.map(x => delta + x);\n model_inputs.position_ids = stack([rope_deltas_list, rope_deltas_list, rope_deltas_list], 0)\n }\n }\n\n return model_inputs;\n }\n}\n\n\n//////////////////////////////////////////////////\n// Phi models\nexport class PhiPreTrainedModel extends PreTrainedModel { }\n/**\n * The bare Phi Model outputting raw hidden-states without any specific head on top.\n */\nexport class PhiModel extends PhiPreTrainedModel { }\n\nexport class PhiForCausalLM extends PhiPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Phi3 models\nexport class Phi3PreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare Phi3 Model outputting raw hidden-states without any specific head on top.\n */\nexport class Phi3Model extends Phi3PreTrainedModel { }\n\nexport class Phi3ForCausalLM extends Phi3PreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Bloom models\n/**\n * The Bloom Model transformer with a language modeling head on top (linear layer with weights tied to the input embeddings).\n */\nexport class BloomPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare Bloom Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class BloomModel extends BloomPreTrainedModel { }\n\n/**\n * The Bloom Model transformer with a language modeling head on top (linear layer with weights tied to the input embeddings).\n */\nexport class BloomForCausalLM extends BloomPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// MPT models\nexport class MptPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare Mpt Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class MptModel extends MptPreTrainedModel { }\n\n/**\n * The MPT Model transformer with a language modeling head on top (linear layer with weights tied to the input embeddings).\n */\nexport class MptForCausalLM extends MptPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// OPT models\nexport class OPTPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare OPT Model outputting raw hidden-states without any specific head on top.\n */\nexport class OPTModel extends OPTPreTrainedModel { }\n\n/**\n * The OPT Model transformer with a language modeling head on top (linear layer with weights tied to the input embeddings).\n */\nexport class OPTForCausalLM extends OPTPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class ViTPreTrainedModel extends PreTrainedModel { }\nexport class ViTModel extends ViTPreTrainedModel { }\nexport class ViTForImageClassification extends ViTPreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class IJepaPreTrainedModel extends PreTrainedModel { }\nexport class IJepaModel extends IJepaPreTrainedModel { }\nexport class IJepaForImageClassification extends IJepaPreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class VitPosePreTrainedModel extends PreTrainedModel { }\n\n/**\n * The VitPose model with a pose estimation head on top.\n */\nexport class VitPoseForPoseEstimation extends VitPosePreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class PvtPreTrainedModel extends PreTrainedModel { }\nexport class PvtModel extends PvtPreTrainedModel { }\nexport class PvtForImageClassification extends PvtPreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class ViTMAEPreTrainedModel extends PreTrainedModel { }\nexport class ViTMAEModel extends ViTMAEPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class ViTMSNPreTrainedModel extends PreTrainedModel { }\nexport class ViTMSNModel extends ViTMSNPreTrainedModel { }\nexport class ViTMSNForImageClassification extends ViTMSNPreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class GroupViTPreTrainedModel extends PreTrainedModel { }\nexport class GroupViTModel extends GroupViTPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class FastViTPreTrainedModel extends PreTrainedModel { }\nexport class FastViTModel extends FastViTPreTrainedModel { }\nexport class FastViTForImageClassification extends FastViTPreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class VitMattePreTrainedModel extends PreTrainedModel { }\n\n/**\n * ViTMatte framework leveraging any vision backbone e.g. for ADE20k, CityScapes.\n * \n * **Example:** Perform image matting with a `VitMatteForImageMatting` model.\n * ```javascript\n * import { AutoProcessor, VitMatteForImageMatting, RawImage } from '@huggingface/transformers';\n * \n * // Load processor and model\n * const processor = await AutoProcessor.from_pretrained('Xenova/vitmatte-small-distinctions-646');\n * const model = await VitMatteForImageMatting.from_pretrained('Xenova/vitmatte-small-distinctions-646');\n * \n * // Load image and trimap\n * const image = await RawImage.fromURL('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/vitmatte_image.png');\n * const trimap = await RawImage.fromURL('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/vitmatte_trimap.png');\n * \n * // Prepare image + trimap for the model\n * const inputs = await processor(image, trimap);\n * \n * // Predict alpha matte\n * const { alphas } = await model(inputs);\n * // Tensor {\n * // dims: [ 1, 1, 640, 960 ],\n * // type: 'float32',\n * // size: 614400,\n * // data: Float32Array(614400) [ 0.9894027709960938, 0.9970508813858032, ... ]\n * // }\n * ```\n * \n * You can visualize the alpha matte as follows:\n * ```javascript\n * import { Tensor, cat } from '@huggingface/transformers';\n * \n * // Visualize predicted alpha matte\n * const imageTensor = image.toTensor();\n * \n * // Convert float (0-1) alpha matte to uint8 (0-255)\n * const alphaChannel = alphas\n * .squeeze(0)\n * .mul_(255)\n * .clamp_(0, 255)\n * .round_()\n * .to('uint8');\n * \n * // Concatenate original image with predicted alpha\n * const imageData = cat([imageTensor, alphaChannel], 0);\n * \n * // Save output image\n * const outputImage = RawImage.fromTensor(imageData);\n * outputImage.save('output.png');\n * ```\n */\nexport class VitMatteForImageMatting extends VitMattePreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new ImageMattingOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class MobileViTPreTrainedModel extends PreTrainedModel { }\nexport class MobileViTModel extends MobileViTPreTrainedModel { }\nexport class MobileViTForImageClassification extends MobileViTPreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n// TODO: MobileViTForSemanticSegmentation\n\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class MobileViTV2PreTrainedModel extends PreTrainedModel { }\nexport class MobileViTV2Model extends MobileViTV2PreTrainedModel { }\nexport class MobileViTV2ForImageClassification extends MobileViTV2PreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n// TODO: MobileViTV2ForSemanticSegmentation\n\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class OwlViTPreTrainedModel extends PreTrainedModel { }\nexport class OwlViTModel extends OwlViTPreTrainedModel { }\nexport class OwlViTForObjectDetection extends OwlViTPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class Owlv2PreTrainedModel extends PreTrainedModel { }\nexport class Owlv2Model extends Owlv2PreTrainedModel { }\nexport class Owlv2ForObjectDetection extends Owlv2PreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Beit Models\nexport class BeitPreTrainedModel extends PreTrainedModel { }\nexport class BeitModel extends BeitPreTrainedModel { }\nexport class BeitForImageClassification extends BeitPreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class DetrPreTrainedModel extends PreTrainedModel { }\nexport class DetrModel extends DetrPreTrainedModel { }\nexport class DetrForObjectDetection extends DetrPreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new DetrObjectDetectionOutput(await super._call(model_inputs));\n }\n}\n\nexport class DetrForSegmentation extends DetrPreTrainedModel {\n /**\n * Runs the model with the provided inputs\n * @param {Object} model_inputs Model inputs\n * @returns {Promise<DetrSegmentationOutput>} Object containing segmentation outputs\n */\n async _call(model_inputs) {\n return new DetrSegmentationOutput(await super._call(model_inputs));\n }\n}\n\nexport class DetrObjectDetectionOutput extends ModelOutput {\n /**\n * @param {Object} output The output of the model.\n * @param {Tensor} output.logits Classification logits (including no-object) for all queries.\n * @param {Tensor} output.pred_boxes Normalized boxes coordinates for all queries, represented as (center_x, center_y, width, height).\n * These values are normalized in [0, 1], relative to the size of each individual image in the batch (disregarding possible padding).\n */\n constructor({ logits, pred_boxes }) {\n super();\n this.logits = logits;\n this.pred_boxes = pred_boxes;\n }\n}\n\nexport class DetrSegmentationOutput extends ModelOutput {\n /**\n * @param {Object} output The output of the model.\n * @param {Tensor} output.logits The output logits of the model.\n * @param {Tensor} output.pred_boxes Predicted boxes.\n * @param {Tensor} output.pred_masks Predicted masks.\n */\n constructor({ logits, pred_boxes, pred_masks }) {\n super();\n this.logits = logits;\n this.pred_boxes = pred_boxes;\n this.pred_masks = pred_masks;\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class RTDetrPreTrainedModel extends PreTrainedModel { }\nexport class RTDetrModel extends RTDetrPreTrainedModel { }\nexport class RTDetrForObjectDetection extends RTDetrPreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new RTDetrObjectDetectionOutput(await super._call(model_inputs));\n }\n}\n\nexport class RTDetrObjectDetectionOutput extends ModelOutput {\n /**\n * @param {Object} output The output of the model.\n * @param {Tensor} output.logits Classification logits (including no-object) for all queries.\n * @param {Tensor} output.pred_boxes Normalized boxes coordinates for all queries, represented as (center_x, center_y, width, height).\n * These values are normalized in [0, 1], relative to the size of each individual image in the batch (disregarding possible padding).\n */\n constructor({ logits, pred_boxes }) {\n super();\n this.logits = logits;\n this.pred_boxes = pred_boxes;\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class TableTransformerPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare Table Transformer Model (consisting of a backbone and encoder-decoder Transformer)\n * outputting raw hidden-states without any specific head on top.\n */\nexport class TableTransformerModel extends TableTransformerPreTrainedModel { }\n\n/**\n * Table Transformer Model (consisting of a backbone and encoder-decoder Transformer)\n * with object detection heads on top, for tasks such as COCO detection.\n */\nexport class TableTransformerForObjectDetection extends TableTransformerPreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new TableTransformerObjectDetectionOutput(await super._call(model_inputs));\n }\n}\nexport class TableTransformerObjectDetectionOutput extends DetrObjectDetectionOutput { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class DeiTPreTrainedModel extends PreTrainedModel { }\nexport class DeiTModel extends DeiTPreTrainedModel { }\nexport class DeiTForImageClassification extends DeiTPreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class HieraPreTrainedModel extends PreTrainedModel { }\nexport class HieraModel extends HieraPreTrainedModel { }\nexport class HieraForImageClassification extends HieraPreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n/**\n * An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained models.\n */\nexport class ResNetPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare ResNet model outputting raw features without any specific head on top.\n */\nexport class ResNetModel extends ResNetPreTrainedModel { }\n\n/**\n * ResNet Model with an image classification head on top (a linear layer on top of the pooled features), e.g. for ImageNet.\n */\nexport class ResNetForImageClassification extends ResNetPreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class SwinPreTrainedModel extends PreTrainedModel { }\nexport class SwinModel extends SwinPreTrainedModel { }\nexport class SwinForImageClassification extends SwinPreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class Swin2SRPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare Swin2SR Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class Swin2SRModel extends Swin2SRPreTrainedModel { }\n\n/**\n * Swin2SR Model transformer with an upsampler head on top for image super resolution and restoration.\n * \n * **Example:** Super-resolution w/ `Xenova/swin2SR-classical-sr-x2-64`.\n * \n * ```javascript\n * import { AutoProcessor, Swin2SRForImageSuperResolution, RawImage } from '@huggingface/transformers';\n * \n * // Load processor and model\n * const model_id = 'Xenova/swin2SR-classical-sr-x2-64';\n * const processor = await AutoProcessor.from_pretrained(model_id);\n * const model = await Swin2SRForImageSuperResolution.from_pretrained(model_id);\n * \n * // Prepare model inputs\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/butterfly.jpg';\n * const image = await RawImage.fromURL(url);\n * const inputs = await processor(image);\n * \n * // Run model\n * const outputs = await model(inputs);\n * \n * // Convert Tensor to RawImage\n * const output = outputs.reconstruction.squeeze().clamp_(0, 1).mul_(255).round_().to('uint8');\n * const outputImage = RawImage.fromTensor(output);\n * // RawImage {\n * // data: Uint8Array(786432) [ 41, 31, 24, ... ],\n * // width: 512,\n * // height: 512,\n * // channels: 3\n * // }\n * ```\n */\nexport class Swin2SRForImageSuperResolution extends Swin2SRPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class DPTPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare DPT Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class DPTModel extends DPTPreTrainedModel { }\n\n/**\n * DPT Model with a depth estimation head on top (consisting of 3 convolutional layers) e.g. for KITTI, NYUv2.\n * \n * **Example:** Depth estimation w/ `Xenova/dpt-hybrid-midas`.\n * ```javascript\n * import { DPTForDepthEstimation, AutoProcessor, RawImage, interpolate_4d } from '@huggingface/transformers';\n * \n * // Load model and processor\n * const model_id = 'Xenova/dpt-hybrid-midas';\n * const model = await DPTForDepthEstimation.from_pretrained(model_id);\n * const processor = await AutoProcessor.from_pretrained(model_id);\n * \n * // Load image from URL\n * const url = 'http://images.cocodataset.org/val2017/000000039769.jpg';\n * const image = await RawImage.read(url);\n * \n * // Prepare image for the model\n * const inputs = await processor(image);\n * \n * // Run model\n * const { predicted_depth } = await model(inputs);\n * \n * // Interpolate to original size\n * const prediction = (await interpolate_4d(predicted_depth.unsqueeze(1), {\n * size: image.size.reverse(),\n * mode: 'bilinear',\n * })).squeeze(1);\n * \n * // Visualize the prediction\n * const min = prediction.min().item();\n * const max = prediction.max().item();\n * const formatted = prediction.sub_(min).div_(max - min).mul_(255).to('uint8');\n * const depth = RawImage.fromTensor(formatted);\n * // RawImage {\n * // data: Uint8Array(307200) [ 85, 85, 84, ... ],\n * // width: 640,\n * // height: 480,\n * // channels: 1\n * // }\n * ```\n */\nexport class DPTForDepthEstimation extends DPTPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class DepthAnythingPreTrainedModel extends PreTrainedModel { }\n\n/**\n * Depth Anything Model with a depth estimation head on top (consisting of 3 convolutional layers) e.g. for KITTI, NYUv2.\n */\nexport class DepthAnythingForDepthEstimation extends DepthAnythingPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class SapiensPreTrainedModel extends PreTrainedModel { }\nexport class SapiensForSemanticSegmentation extends SapiensPreTrainedModel { }\nexport class SapiensForDepthEstimation extends SapiensPreTrainedModel { }\nexport class SapiensForNormalEstimation extends SapiensPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class DepthProPreTrainedModel extends PreTrainedModel { }\nexport class DepthProForDepthEstimation extends DepthProPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class MaskFormerPreTrainedModel extends PreTrainedModel { }\nexport class MaskFormerModel extends MaskFormerPreTrainedModel { }\nexport class MaskFormerForInstanceSegmentation extends MaskFormerPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class GLPNPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare GLPN encoder (Mix-Transformer) outputting raw hidden-states without any specific head on top.\n */\nexport class GLPNModel extends GLPNPreTrainedModel { }\n\n/**\n * import { GLPNForDepthEstimation, AutoProcessor, RawImage, interpolate_4d } from '@huggingface/transformers';\n * \n * // Load model and processor\n * const model_id = 'Xenova/glpn-kitti';\n * const model = await GLPNForDepthEstimation.from_pretrained(model_id);\n * const processor = await AutoProcessor.from_pretrained(model_id);\n * \n * // Load image from URL\n * const url = 'http://images.cocodataset.org/val2017/000000039769.jpg';\n * const image = await RawImage.read(url);\n * \n * // Prepare image for the model\n * const inputs = await processor(image);\n * \n * // Run model\n * const { predicted_depth } = await model(inputs);\n * \n * // Interpolate to original size\n * const prediction = (await interpolate_4d(predicted_depth.unsqueeze(1), {\n * size: image.size.reverse(),\n * mode: 'bilinear',\n * })).squeeze(1);\n * \n * // Visualize the prediction\n * const min = prediction.min().item();\n * const max = prediction.max().item();\n * const formatted = prediction.sub_(min).div_(max - min).mul_(255).to('uint8');\n * const depth = RawImage.fromTensor(formatted);\n * // RawImage {\n * // data: Uint8Array(307200) [ 85, 85, 84, ... ],\n * // width: 640,\n * // height: 480,\n * // channels: 1\n * // }\n * ```\n */\nexport class GLPNForDepthEstimation extends GLPNPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class DonutSwinPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare Donut Swin Model transformer outputting raw hidden-states without any specific head on top.\n * \n * **Example:** Step-by-step Document Parsing.\n * \n * ```javascript\n * import { AutoProcessor, AutoTokenizer, AutoModelForVision2Seq, RawImage } from '@huggingface/transformers';\n * \n * // Choose model to use\n * const model_id = 'Xenova/donut-base-finetuned-cord-v2';\n * \n * // Prepare image inputs\n * const processor = await AutoProcessor.from_pretrained(model_id);\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/receipt.png';\n * const image = await RawImage.read(url);\n * const image_inputs = await processor(image);\n * \n * // Prepare decoder inputs\n * const tokenizer = await AutoTokenizer.from_pretrained(model_id);\n * const task_prompt = '<s_cord-v2>';\n * const decoder_input_ids = tokenizer(task_prompt, {\n * add_special_tokens: false,\n * }).input_ids;\n * \n * // Create the model\n * const model = await AutoModelForVision2Seq.from_pretrained(model_id);\n * \n * // Run inference\n * const output = await model.generate(image_inputs.pixel_values, {\n * decoder_input_ids,\n * max_length: model.config.decoder.max_position_embeddings,\n * });\n * \n * // Decode output\n * const decoded = tokenizer.batch_decode(output)[0];\n * // <s_cord-v2><s_menu><s_nm> CINNAMON SUGAR</s_nm><s_unitprice> 17,000</s_unitprice><s_cnt> 1 x</s_cnt><s_price> 17,000</s_price></s_menu><s_sub_total><s_subtotal_price> 17,000</s_subtotal_price></s_sub_total><s_total><s_total_price> 17,000</s_total_price><s_cashprice> 20,000</s_cashprice><s_changeprice> 3,000</s_changeprice></s_total></s>\n * ```\n * \n * **Example:** Step-by-step Document Visual Question Answering (DocVQA)\n * \n * ```javascript\n * import { AutoProcessor, AutoTokenizer, AutoModelForVision2Seq, RawImage } from '@huggingface/transformers';\n * \n * // Choose model to use\n * const model_id = 'Xenova/donut-base-finetuned-docvqa';\n * \n * // Prepare image inputs\n * const processor = await AutoProcessor.from_pretrained(model_id);\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/invoice.png';\n * const image = await RawImage.read(url);\n * const image_inputs = await processor(image);\n * \n * // Prepare decoder inputs\n * const tokenizer = await AutoTokenizer.from_pretrained(model_id);\n * const question = 'What is the invoice number?';\n * const task_prompt = `<s_docvqa><s_question>${question}</s_question><s_answer>`;\n * const decoder_input_ids = tokenizer(task_prompt, {\n * add_special_tokens: false,\n * }).input_ids;\n * \n * // Create the model\n * const model = await AutoModelForVision2Seq.from_pretrained(model_id);\n * \n * // Run inference\n * const output = await model.generate(image_inputs.pixel_values, {\n * decoder_input_ids,\n * max_length: model.config.decoder.max_position_embeddings,\n * });\n * \n * // Decode output\n * const decoded = tokenizer.batch_decode(output)[0];\n * // <s_docvqa><s_question> What is the invoice number?</s_question><s_answer> us-001</s_answer></s>\n * ```\n */\nexport class DonutSwinModel extends DonutSwinPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class ConvNextPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare ConvNext model outputting raw features without any specific head on top.\n */\nexport class ConvNextModel extends ConvNextPreTrainedModel { }\n\n/**\n * ConvNext Model with an image classification head on top (a linear layer on top of the pooled features), e.g. for ImageNet.\n */\nexport class ConvNextForImageClassification extends ConvNextPreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class ConvNextV2PreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare ConvNextV2 model outputting raw features without any specific head on top.\n */\nexport class ConvNextV2Model extends ConvNextV2PreTrainedModel { }\n\n/**\n * ConvNextV2 Model with an image classification head on top (a linear layer on top of the pooled features), e.g. for ImageNet.\n */\nexport class ConvNextV2ForImageClassification extends ConvNextV2PreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class Dinov2PreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare DINOv2 Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class Dinov2Model extends Dinov2PreTrainedModel { }\n\n/**\n * Dinov2 Model transformer with an image classification head on top (a linear layer on top of the final hidden state of the [CLS] token) e.g. for ImageNet.\n */\nexport class Dinov2ForImageClassification extends Dinov2PreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class Dinov2WithRegistersPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare Dinov2WithRegisters Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class Dinov2WithRegistersModel extends Dinov2WithRegistersPreTrainedModel { }\n\n/**\n * Dinov2WithRegisters Model transformer with an image classification head on top (a linear layer on top of the final hidden state of the [CLS] token) e.g. for ImageNet.\n */\nexport class Dinov2WithRegistersForImageClassification extends Dinov2WithRegistersPreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\nexport class GroundingDinoPreTrainedModel extends PreTrainedModel { }\nexport class GroundingDinoForObjectDetection extends GroundingDinoPreTrainedModel { }\n\n//////////////////////////////////////////////////\nexport class YolosPreTrainedModel extends PreTrainedModel { }\nexport class YolosModel extends YolosPreTrainedModel { }\nexport class YolosForObjectDetection extends YolosPreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new YolosObjectDetectionOutput(await super._call(model_inputs));\n }\n}\n\nexport class YolosObjectDetectionOutput extends ModelOutput {\n /**\n * @param {Object} output The output of the model.\n * @param {Tensor} output.logits Classification logits (including no-object) for all queries.\n * @param {Tensor} output.pred_boxes Normalized boxes coordinates for all queries, represented as (center_x, center_y, width, height).\n * These values are normalized in [0, 1], relative to the size of each individual image in the batch (disregarding possible padding).\n */\n constructor({ logits, pred_boxes }) {\n super();\n this.logits = logits;\n this.pred_boxes = pred_boxes;\n }\n}\n//////////////////////////////////////////////////\n\n\n\n\n//////////////////////////////////////////////////\nexport class SamPreTrainedModel extends PreTrainedModel { }\n\n/**\n * Segment Anything Model (SAM) for generating segmentation masks, given an input image\n * and optional 2D location and bounding boxes.\n * \n * **Example:** Perform mask generation w/ `Xenova/sam-vit-base`.\n * ```javascript\n * import { SamModel, AutoProcessor, RawImage } from '@huggingface/transformers';\n * \n * const model = await SamModel.from_pretrained('Xenova/sam-vit-base');\n * const processor = await AutoProcessor.from_pretrained('Xenova/sam-vit-base');\n * \n * const img_url = 'https://huggingface.co/ybelkada/segment-anything/resolve/main/assets/car.png';\n * const raw_image = await RawImage.read(img_url);\n * const input_points = [[[450, 600]]] // 2D localization of a window\n * \n * const inputs = await processor(raw_image, { input_points });\n * const outputs = await model(inputs);\n * \n * const masks = await processor.post_process_masks(outputs.pred_masks, inputs.original_sizes, inputs.reshaped_input_sizes);\n * // [\n * // Tensor {\n * // dims: [ 1, 3, 1764, 2646 ],\n * // type: 'bool',\n * // data: Uint8Array(14002632) [ ... ],\n * // size: 14002632\n * // }\n * // ]\n * const scores = outputs.iou_scores;\n * // Tensor {\n * // dims: [ 1, 1, 3 ],\n * // type: 'float32',\n * // data: Float32Array(3) [\n * // 0.8892380595207214,\n * // 0.9311248064041138,\n * // 0.983696699142456\n * // ],\n * // size: 3\n * // }\n * ```\n */\nexport class SamModel extends SamPreTrainedModel {\n\n /**\n * Compute image embeddings and positional image embeddings, given the pixel values of an image.\n * @param {Object} model_inputs Object containing the model inputs.\n * @param {Tensor} model_inputs.pixel_values Pixel values obtained using a `SamProcessor`.\n * @returns {Promise<{ image_embeddings: Tensor, image_positional_embeddings: Tensor }>} The image embeddings and positional image embeddings.\n */\n async get_image_embeddings({ pixel_values }) {\n // in:\n // - pixel_values: tensor.float32[batch_size,3,1024,1024]\n // \n // out:\n // - image_embeddings: tensor.float32[batch_size,256,64,64]\n // - image_positional_embeddings: tensor.float32[batch_size,256,64,64]\n return await encoderForward(this, { pixel_values })\n }\n\n /**\n * @typedef {Object} SamModelInputs Object containing the model inputs.\n * @property {Tensor} pixel_values Pixel values as a Tensor with shape `(batch_size, num_channels, height, width)`.\n * These can be obtained using a `SamProcessor`.\n * @property {Tensor} [input_points] Input 2D spatial points with shape `(batch_size, num_points, 2)`.\n * This is used by the prompt encoder to encode the prompt.\n * @property {Tensor} [input_labels] Input labels for the points, as a Tensor of shape `(batch_size, point_batch_size, num_points)`.\n * This is used by the prompt encoder to encode the prompt. There are 4 types of labels:\n * - `1`: the point is a point that contains the object of interest\n * - `0`: the point is a point that does not contain the object of interest\n * - `-1`: the point corresponds to the background\n * - `-10`: the point is a padding point, thus should be ignored by the prompt encoder\n * @property {Tensor} [input_boxes] Input bounding boxes with shape `(batch_size, num_boxes, 4)`.\n * @property {Tensor} [image_embeddings] Image embeddings used by the mask decoder.\n * @property {Tensor} [image_positional_embeddings] Image positional embeddings used by the mask decoder.\n */\n\n /**\n * @param {SamModelInputs} model_inputs Object containing the model inputs.\n * @returns {Promise<Object>} The output of the model.\n */\n async forward(model_inputs) {\n if (!model_inputs.image_embeddings || !model_inputs.image_positional_embeddings) {\n // Compute the image embeddings if they are missing\n model_inputs = {\n ...model_inputs,\n ...(await this.get_image_embeddings(model_inputs))\n }\n }\n\n if (!model_inputs.input_labels && model_inputs.input_points) {\n // Set default input labels if they are missing\n const shape = model_inputs.input_points.dims.slice(0, -1);\n const numElements = shape.reduce((a, b) => a * b, 1);\n model_inputs.input_labels = new Tensor(\n 'int64',\n new BigInt64Array(numElements).fill(1n),\n shape\n );\n }\n\n const decoder_inputs = {\n image_embeddings: model_inputs.image_embeddings,\n image_positional_embeddings: model_inputs.image_positional_embeddings,\n };\n if (model_inputs.input_points) {\n decoder_inputs.input_points = model_inputs.input_points;\n }\n if (model_inputs.input_labels) {\n decoder_inputs.input_labels = model_inputs.input_labels;\n }\n if (model_inputs.input_boxes) {\n decoder_inputs.input_boxes = model_inputs.input_boxes;\n }\n\n // Returns:\n // - iou_scores: tensor.float32[batch_size,point_batch_size,3]\n // - pred_masks: tensor.float32[batch_size,point_batch_size,3,256,256]\n return await sessionRun(this.sessions['prompt_encoder_mask_decoder'], decoder_inputs);\n }\n\n /**\n * Runs the model with the provided inputs\n * @param {Object} model_inputs Model inputs\n * @returns {Promise<SamImageSegmentationOutput>} Object containing segmentation outputs\n */\n async _call(model_inputs) {\n return new SamImageSegmentationOutput(await super._call(model_inputs));\n }\n}\n\n\n/**\n * Base class for Segment-Anything model's output.\n */\nexport class SamImageSegmentationOutput extends ModelOutput {\n /**\n * @param {Object} output The output of the model.\n * @param {Tensor} output.iou_scores The output logits of the model.\n * @param {Tensor} output.pred_masks Predicted boxes.\n */\n constructor({ iou_scores, pred_masks }) {\n super();\n this.iou_scores = iou_scores;\n this.pred_masks = pred_masks;\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// MarianMT models\nexport class MarianPreTrainedModel extends PreTrainedModel { };\n\nexport class MarianModel extends MarianPreTrainedModel { }\n\nexport class MarianMTModel extends MarianPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// M2M100 models\nexport class M2M100PreTrainedModel extends PreTrainedModel { };\n\nexport class M2M100Model extends M2M100PreTrainedModel { }\n\nexport class M2M100ForConditionalGeneration extends M2M100PreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Wav2Vec2 models\nexport class Wav2Vec2PreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare Wav2Vec2 Model transformer outputting raw hidden-states without any specific head on top.\n * \n * **Example:** Load and run a `Wav2Vec2Model` for feature extraction.\n * \n * ```javascript\n * import { AutoProcessor, AutoModel, read_audio } from '@huggingface/transformers';\n * \n * // Read and preprocess audio\n * const processor = await AutoProcessor.from_pretrained('Xenova/mms-300m');\n * const audio = await read_audio('https://huggingface.co/datasets/Narsil/asr_dummy/resolve/main/mlk.flac', 16000);\n * const inputs = await processor(audio);\n * \n * // Run model with inputs\n * const model = await AutoModel.from_pretrained('Xenova/mms-300m');\n * const output = await model(inputs);\n * // {\n * // last_hidden_state: Tensor {\n * // dims: [ 1, 1144, 1024 ],\n * // type: 'float32',\n * // data: Float32Array(1171456) [ ... ],\n * // size: 1171456\n * // }\n * // }\n * ```\n */\nexport class Wav2Vec2Model extends Wav2Vec2PreTrainedModel { }\n\nexport class Wav2Vec2ForCTC extends Wav2Vec2PreTrainedModel {\n /**\n * @param {Object} model_inputs\n * @param {Tensor} model_inputs.input_values Float values of input raw speech waveform.\n * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1]\n */\n async _call(model_inputs) {\n return new CausalLMOutput(await super._call(model_inputs));\n }\n}\n\nexport class Wav2Vec2ForSequenceClassification extends Wav2Vec2PreTrainedModel {\n /**\n * Calls the model on new inputs.\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * Wav2Vec2 Model with a frame classification head on top for tasks like Speaker Diarization.\n */\nexport class Wav2Vec2ForAudioFrameClassification extends Wav2Vec2PreTrainedModel {\n /**\n * Calls the model on new inputs.\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new TokenClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// PyAnnote models\nexport class PyAnnotePreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare PyAnnote Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class PyAnnoteModel extends PyAnnotePreTrainedModel { }\n\n/**\n * PyAnnote Model with a frame classification head on top for tasks like Speaker Diarization.\n * \n * **Example:** Load and run a `PyAnnoteForAudioFrameClassification` for speaker diarization.\n * \n * ```javascript\n * import { AutoProcessor, AutoModelForAudioFrameClassification, read_audio } from '@huggingface/transformers';\n * \n * // Load model and processor\n * const model_id = 'onnx-community/pyannote-segmentation-3.0';\n * const model = await AutoModelForAudioFrameClassification.from_pretrained(model_id);\n * const processor = await AutoProcessor.from_pretrained(model_id);\n * \n * // Read and preprocess audio\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/mlk.wav';\n * const audio = await read_audio(url, processor.feature_extractor.config.sampling_rate);\n * const inputs = await processor(audio);\n * \n * // Run model with inputs\n * const { logits } = await model(inputs);\n * // {\n * // logits: Tensor {\n * // dims: [ 1, 767, 7 ], // [batch_size, num_frames, num_classes]\n * // type: 'float32',\n * // data: Float32Array(5369) [ ... ],\n * // size: 5369\n * // }\n * // }\n * \n * const result = processor.post_process_speaker_diarization(logits, audio.length);\n * // [\n * // [\n * // { id: 0, start: 0, end: 1.0512535626298245, confidence: 0.8220156481664611 },\n * // { id: 2, start: 1.0512535626298245, end: 2.3398869619825127, confidence: 0.9008811707860472 },\n * // ...\n * // ]\n * // ]\n * \n * // Display result\n * console.table(result[0], ['start', 'end', 'id', 'confidence']);\n * // ┌─────────┬────────────────────┬────────────────────┬────┬─────────────────────â”\n * // │ (index) │ start │ end │ id │ confidence │\n * // ├─────────┼────────────────────┼────────────────────┼────┼─────────────────────┤\n * // │ 0 │ 0 │ 1.0512535626298245 │ 0 │ 0.8220156481664611 │\n * // │ 1 │ 1.0512535626298245 │ 2.3398869619825127 │ 2 │ 0.9008811707860472 │\n * // │ 2 │ 2.3398869619825127 │ 3.5946089560890773 │ 0 │ 0.7521651315796233 │\n * // │ 3 │ 3.5946089560890773 │ 4.578039708226655 │ 2 │ 0.8491978128022479 │\n * // │ 4 │ 4.578039708226655 │ 4.594995410849717 │ 0 │ 0.2935352600416393 │\n * // │ 5 │ 4.594995410849717 │ 6.121008646925269 │ 3 │ 0.6788051309866024 │\n * // │ 6 │ 6.121008646925269 │ 6.256654267909762 │ 0 │ 0.37125512393851134 │\n * // │ 7 │ 6.256654267909762 │ 8.630452635138397 │ 2 │ 0.7467035186353542 │\n * // │ 8 │ 8.630452635138397 │ 10.088643060721703 │ 0 │ 0.7689364814666032 │\n * // │ 9 │ 10.088643060721703 │ 12.58113134631177 │ 2 │ 0.9123324509131324 │\n * // │ 10 │ 12.58113134631177 │ 13.005023911888312 │ 0 │ 0.4828358177572041 │\n * // └─────────┴────────────────────┴────────────────────┴────┴─────────────────────┘\n * ```\n */\nexport class PyAnnoteForAudioFrameClassification extends PyAnnotePreTrainedModel {\n /**\n * Calls the model on new inputs.\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new TokenClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// WeSpeakerResNet models\nexport class WeSpeakerResNetPreTrainedModel extends PreTrainedModel { };\nexport class WeSpeakerResNetModel extends WeSpeakerResNetPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// UniSpeech models\nexport class UniSpeechPreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare UniSpeech Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class UniSpeechModel extends UniSpeechPreTrainedModel { }\n\n/**\n * UniSpeech Model with a `language modeling` head on top for Connectionist Temporal Classification (CTC).\n */\nexport class UniSpeechForCTC extends UniSpeechPreTrainedModel {\n /**\n * @param {Object} model_inputs\n * @param {Tensor} model_inputs.input_values Float values of input raw speech waveform.\n * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1]\n */\n async _call(model_inputs) {\n return new CausalLMOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * UniSpeech Model with a sequence classification head on top (a linear layer over the pooled output).\n */\nexport class UniSpeechForSequenceClassification extends UniSpeechPreTrainedModel {\n /**\n * Calls the model on new inputs.\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// UniSpeechSat models\nexport class UniSpeechSatPreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare UniSpeechSat Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class UniSpeechSatModel extends UniSpeechSatPreTrainedModel { }\n\n/**\n * UniSpeechSat Model with a `language modeling` head on top for Connectionist Temporal Classification (CTC).\n */\nexport class UniSpeechSatForCTC extends UniSpeechSatPreTrainedModel {\n /**\n * @param {Object} model_inputs\n * @param {Tensor} model_inputs.input_values Float values of input raw speech waveform.\n * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1]\n */\n async _call(model_inputs) {\n return new CausalLMOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * UniSpeechSat Model with a sequence classification head on top (a linear layer over the pooled output).\n */\nexport class UniSpeechSatForSequenceClassification extends UniSpeechSatPreTrainedModel {\n /**\n * Calls the model on new inputs.\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * UniSpeechSat Model with a frame classification head on top for tasks like Speaker Diarization.\n */\nexport class UniSpeechSatForAudioFrameClassification extends UniSpeechSatPreTrainedModel {\n /**\n * Calls the model on new inputs.\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new TokenClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Wav2Vec2Bert models\nexport class Wav2Vec2BertPreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare Wav2Vec2Bert Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class Wav2Vec2BertModel extends Wav2Vec2BertPreTrainedModel { }\n\n/**\n * Wav2Vec2Bert Model with a `language modeling` head on top for Connectionist Temporal Classification (CTC).\n */\nexport class Wav2Vec2BertForCTC extends Wav2Vec2BertPreTrainedModel {\n /**\n * @param {Object} model_inputs\n * @param {Tensor} model_inputs.input_features Float values of input mel-spectrogram.\n * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1]\n */\n async _call(model_inputs) {\n return new CausalLMOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * Wav2Vec2Bert Model with a sequence classification head on top (a linear layer over the pooled output).\n */\nexport class Wav2Vec2BertForSequenceClassification extends Wav2Vec2BertPreTrainedModel {\n /**\n * Calls the model on new inputs.\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Hubert models\nexport class HubertPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare Hubert Model transformer outputting raw hidden-states without any specific head on top.\n * \n * **Example:** Load and run a `HubertModel` for feature extraction.\n * \n * ```javascript\n * import { AutoProcessor, AutoModel, read_audio } from '@huggingface/transformers';\n * \n * // Read and preprocess audio\n * const processor = await AutoProcessor.from_pretrained('Xenova/hubert-base-ls960');\n * const audio = await read_audio('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav', 16000);\n * const inputs = await processor(audio);\n * \n * // Load and run model with inputs\n * const model = await AutoModel.from_pretrained('Xenova/hubert-base-ls960');\n * const output = await model(inputs);\n * // {\n * // last_hidden_state: Tensor {\n * // dims: [ 1, 549, 768 ],\n * // type: 'float32',\n * // data: Float32Array(421632) [0.0682469978928566, 0.08104046434164047, -0.4975186586380005, ...],\n * // size: 421632\n * // }\n * // }\n * ```\n */\nexport class HubertModel extends Wav2Vec2PreTrainedModel { }\n\n/**\n * Hubert Model with a `language modeling` head on top for Connectionist Temporal Classification (CTC).\n */\nexport class HubertForCTC extends Wav2Vec2PreTrainedModel {\n /**\n * @param {Object} model_inputs\n * @param {Tensor} model_inputs.input_values Float values of input raw speech waveform.\n * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1]\n */\n async _call(model_inputs) {\n return new CausalLMOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * Hubert Model with a sequence classification head on top (a linear layer over the pooled output) for tasks like SUPERB Keyword Spotting.\n */\nexport class HubertForSequenceClassification extends Wav2Vec2PreTrainedModel {\n /**\n * Calls the model on new inputs.\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// WavLM models\n/**\n * An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained models.\n */\nexport class WavLMPreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare WavLM Model transformer outputting raw hidden-states without any specific head on top.\n * \n * **Example:** Load and run a `WavLMModel` for feature extraction.\n * \n * ```javascript\n * import { AutoProcessor, AutoModel, read_audio } from '@huggingface/transformers';\n * \n * // Read and preprocess audio\n * const processor = await AutoProcessor.from_pretrained('Xenova/wavlm-base');\n * const audio = await read_audio('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav', 16000);\n * const inputs = await processor(audio);\n * \n * // Run model with inputs\n * const model = await AutoModel.from_pretrained('Xenova/wavlm-base');\n * const output = await model(inputs);\n * // {\n * // last_hidden_state: Tensor {\n * // dims: [ 1, 549, 768 ],\n * // type: 'float32',\n * // data: Float32Array(421632) [-0.349443256855011, -0.39341306686401367, 0.022836603224277496, ...],\n * // size: 421632\n * // }\n * // }\n * ```\n */\nexport class WavLMModel extends WavLMPreTrainedModel { }\n\n/**\n * WavLM Model with a `language modeling` head on top for Connectionist Temporal Classification (CTC).\n */\nexport class WavLMForCTC extends WavLMPreTrainedModel {\n /**\n * @param {Object} model_inputs\n * @param {Tensor} model_inputs.input_values Float values of input raw speech waveform.\n * @param {Tensor} model_inputs.attention_mask Mask to avoid performing convolution and attention on padding token indices. Mask values selected in [0, 1]\n */\n async _call(model_inputs) {\n return new CausalLMOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * WavLM Model with a sequence classification head on top (a linear layer over the pooled output).\n */\nexport class WavLMForSequenceClassification extends WavLMPreTrainedModel {\n /**\n * Calls the model on new inputs.\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<SequenceClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * WavLM Model with an XVector feature extraction head on top for tasks like Speaker Verification.\n * \n * **Example:** Extract speaker embeddings with `WavLMForXVector`.\n * ```javascript\n * import { AutoProcessor, AutoModel, read_audio } from '@huggingface/transformers';\n * \n * // Read and preprocess audio\n * const processor = await AutoProcessor.from_pretrained('Xenova/wavlm-base-plus-sv');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';\n * const audio = await read_audio(url, 16000);\n * const inputs = await processor(audio);\n * \n * // Run model with inputs\n * const model = await AutoModel.from_pretrained('Xenova/wavlm-base-plus-sv');\n * const outputs = await model(inputs);\n * // {\n * // logits: Tensor {\n * // dims: [ 1, 512 ],\n * // type: 'float32',\n * // data: Float32Array(512) [0.5847219228744507, ...],\n * // size: 512\n * // },\n * // embeddings: Tensor {\n * // dims: [ 1, 512 ],\n * // type: 'float32',\n * // data: Float32Array(512) [-0.09079201519489288, ...],\n * // size: 512\n * // }\n * // }\n * ```\n */\nexport class WavLMForXVector extends WavLMPreTrainedModel {\n /**\n * Calls the model on new inputs.\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<XVectorOutput>} An object containing the model's output logits and speaker embeddings.\n */\n async _call(model_inputs) {\n return new XVectorOutput(await super._call(model_inputs));\n }\n}\n\n/**\n * WavLM Model with a frame classification head on top for tasks like Speaker Diarization.\n * \n * **Example:** Perform speaker diarization with `WavLMForAudioFrameClassification`.\n * ```javascript\n * import { AutoProcessor, AutoModelForAudioFrameClassification, read_audio } from '@huggingface/transformers';\n * \n * // Read and preprocess audio\n * const processor = await AutoProcessor.from_pretrained('Xenova/wavlm-base-plus-sd');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';\n * const audio = await read_audio(url, 16000);\n * const inputs = await processor(audio);\n * \n * // Run model with inputs\n * const model = await AutoModelForAudioFrameClassification.from_pretrained('Xenova/wavlm-base-plus-sd');\n * const { logits } = await model(inputs);\n * // {\n * // logits: Tensor {\n * // dims: [ 1, 549, 2 ], // [batch_size, num_frames, num_speakers]\n * // type: 'float32',\n * // data: Float32Array(1098) [-3.5301010608673096, ...],\n * // size: 1098\n * // }\n * // }\n * \n * const labels = logits[0].sigmoid().tolist().map(\n * frames => frames.map(speaker => speaker > 0.5 ? 1 : 0)\n * );\n * console.log(labels); // labels is a one-hot array of shape (num_frames, num_speakers)\n * // [\n * // [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0],\n * // [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0],\n * // [0, 0], [0, 1], [0, 1], [0, 1], [0, 1], [0, 1],\n * // ...\n * // ]\n * ```\n */\nexport class WavLMForAudioFrameClassification extends WavLMPreTrainedModel {\n /**\n * Calls the model on new inputs.\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<TokenClassifierOutput>} An object containing the model's output logits for sequence classification.\n */\n async _call(model_inputs) {\n return new TokenClassifierOutput(await super._call(model_inputs));\n }\n}\n\nexport class StyleTextToSpeech2PreTrainedModel extends PreTrainedModel { }\nexport class StyleTextToSpeech2Model extends StyleTextToSpeech2PreTrainedModel { }\n\n//////////////////////////////////////////////////\n// SpeechT5 models\n/**\n * An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained models.\n */\nexport class SpeechT5PreTrainedModel extends PreTrainedModel { };\n\n/**\n * The bare SpeechT5 Encoder-Decoder Model outputting raw hidden-states without any specific pre- or post-nets.\n */\nexport class SpeechT5Model extends SpeechT5PreTrainedModel { };\n\n/**\n * SpeechT5 Model with a speech encoder and a text decoder.\n * \n * **Example:** Generate speech from text with `SpeechT5ForSpeechToText`.\n * ```javascript\n * import { AutoTokenizer, AutoProcessor, SpeechT5ForTextToSpeech, SpeechT5HifiGan, Tensor } from '@huggingface/transformers';\n * \n * // Load the tokenizer and processor\n * const tokenizer = await AutoTokenizer.from_pretrained('Xenova/speecht5_tts');\n * const processor = await AutoProcessor.from_pretrained('Xenova/speecht5_tts');\n * \n * // Load the models\n * // NOTE: We use the full-precision versions as they are more accurate\n * const model = await SpeechT5ForTextToSpeech.from_pretrained('Xenova/speecht5_tts', { dtype: 'fp32' });\n * const vocoder = await SpeechT5HifiGan.from_pretrained('Xenova/speecht5_hifigan', { dtype: 'fp32' });\n * \n * // Load speaker embeddings from URL\n * const speaker_embeddings_data = new Float32Array(\n * await (await fetch('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/speaker_embeddings.bin')).arrayBuffer()\n * );\n * const speaker_embeddings = new Tensor(\n * 'float32',\n * speaker_embeddings_data,\n * [1, speaker_embeddings_data.length]\n * )\n * \n * // Run tokenization\n * const { input_ids } = tokenizer('Hello, my dog is cute');\n * \n * // Generate waveform\n * const { waveform } = await model.generate_speech(input_ids, speaker_embeddings, { vocoder });\n * console.log(waveform)\n * // Tensor {\n * // dims: [ 26112 ],\n * // type: 'float32',\n * // size: 26112,\n * // data: Float32Array(26112) [ -0.00043630177970044315, -0.00018082228780258447, ... ],\n * // }\n * ```\n */\nexport class SpeechT5ForSpeechToText extends SpeechT5PreTrainedModel { }\n\n/**\n * SpeechT5 Model with a text encoder and a speech decoder.\n */\nexport class SpeechT5ForTextToSpeech extends SpeechT5PreTrainedModel {\n\n /**\n * @typedef {Object} SpeechOutput\n * @property {Tensor} [spectrogram] The predicted log-mel spectrogram of shape\n * `(output_sequence_length, config.num_mel_bins)`. Returned when no `vocoder` is provided\n * @property {Tensor} [waveform] The predicted waveform of shape `(num_frames,)`. Returned when a `vocoder` is provided.\n * @property {Tensor} [cross_attentions] The outputs of the decoder's cross-attention layers of shape\n * `(config.decoder_layers, config.decoder_attention_heads, output_sequence_length, input_sequence_length)`. returned when `output_cross_attentions` is `true`.\n */\n\n /**\n * Converts a sequence of input tokens into a sequence of mel spectrograms, which are subsequently turned into a speech waveform using a vocoder.\n * @param {Tensor} input_values Indices of input sequence tokens in the vocabulary.\n * @param {Tensor} speaker_embeddings Tensor containing the speaker embeddings.\n * @param {Object} options Optional parameters for generating speech.\n * @param {number} [options.threshold=0.5] The generated sequence ends when the predicted stop token probability exceeds this value.\n * @param {number} [options.minlenratio=0.0] Used to calculate the minimum required length for the output sequence.\n * @param {number} [options.maxlenratio=20.0] Used to calculate the maximum allowed length for the output sequence.\n * @param {Object} [options.vocoder=null] The vocoder that converts the mel spectrogram into a speech waveform. If `null`, the output is the mel spectrogram.\n * @param {boolean} [options.output_cross_attentions=false] Whether or not to return the attentions tensors of the decoder's cross-attention layers.\n * @returns {Promise<SpeechOutput>} A promise which resolves to an object containing the spectrogram, waveform, and cross-attention tensors.\n */\n async generate_speech(input_values, speaker_embeddings, {\n threshold = 0.5,\n minlenratio = 0.0,\n maxlenratio = 20.0,\n vocoder = null,\n // output_cross_attentions = false, // TODO add\n } = {}) {\n\n const model_inputs = {\n input_ids: input_values\n }\n\n const { encoder_outputs, encoder_attention_mask } = await encoderForward(this, model_inputs);\n\n // @ts-expect-error TS2339\n const r = encoder_outputs.dims[1] / this.config.reduction_factor;\n const maxlen = Math.floor(r * maxlenratio);\n const minlen = Math.floor(r * minlenratio);\n\n // @ts-expect-error TS2339\n const num_mel_bins = this.config.num_mel_bins;\n\n let spectrogramParts = [];\n let past_key_values = null;\n let decoder_outputs = null;\n let idx = 0;\n\n while (true) {\n ++idx;\n\n const use_cache_branch = boolTensor(!!decoder_outputs);\n let output_sequence;\n if (decoder_outputs) {\n output_sequence = decoder_outputs.output_sequence_out;\n } else {\n output_sequence = new Tensor(\n 'float32',\n new Float32Array(num_mel_bins),\n [1, 1, num_mel_bins],\n )\n }\n let decoderFeeds = {\n use_cache_branch,\n output_sequence,\n encoder_attention_mask: encoder_attention_mask,\n speaker_embeddings: speaker_embeddings,\n encoder_hidden_states: encoder_outputs,\n };\n\n this.addPastKeyValues(decoderFeeds, past_key_values);\n decoder_outputs = await sessionRun(this.sessions['decoder_model_merged'], decoderFeeds);\n past_key_values = this.getPastKeyValues(decoder_outputs, past_key_values);\n\n const { prob, spectrum } = decoder_outputs;\n spectrogramParts.push(spectrum);\n\n if (idx >= minlen && (\n // Finished when stop token or maximum length is reached.\n Array.from(prob.data).filter(p => p >= threshold).length > 0 || idx >= maxlen\n )) {\n break;\n }\n }\n\n const spectrogram = cat(spectrogramParts);\n const { waveform } = await sessionRun(vocoder.sessions['model'], { spectrogram });\n\n return {\n spectrogram,\n waveform,\n // cross_attentions: null, // TODO add\n }\n }\n}\n\n/**\n * HiFi-GAN vocoder.\n * \n * See [SpeechT5ForSpeechToText](./models#module_models.SpeechT5ForSpeechToText) for example usage.\n */\nexport class SpeechT5HifiGan extends PreTrainedModel {\n main_input_name = 'spectrogram';\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// TrOCR models\nexport class TrOCRPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The TrOCR Decoder with a language modeling head.\n */\nexport class TrOCRForCausalLM extends TrOCRPreTrainedModel { }\n\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Mistral models\n/**\n * The bare Mistral Model outputting raw hidden-states without any specific head on top.\n */\nexport class MistralPreTrainedModel extends PreTrainedModel { }\n\nexport class MistralModel extends MistralPreTrainedModel { }\n\nexport class MistralForCausalLM extends MistralPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Starcoder2 models\n/**\n * The bare Starcoder2 Model outputting raw hidden-states without any specific head on top.\n */\nexport class Starcoder2PreTrainedModel extends PreTrainedModel { }\n\nexport class Starcoder2Model extends Starcoder2PreTrainedModel { }\n\nexport class Starcoder2ForCausalLM extends Starcoder2PreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// Falcon models\n/**\n * The bare Falcon Model outputting raw hidden-states without any specific head on top.\n */\nexport class FalconPreTrainedModel extends PreTrainedModel { }\n\nexport class FalconModel extends FalconPreTrainedModel { }\n\nexport class FalconForCausalLM extends FalconPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// CLAP models\nexport class ClapPreTrainedModel extends PreTrainedModel { }\n\nexport class ClapModel extends ClapPreTrainedModel { }\n\n/**\n * CLAP Text Model with a projection layer on top (a linear layer on top of the pooled output).\n * \n * **Example:** Compute text embeddings with `ClapTextModelWithProjection`.\n * \n * ```javascript\n * import { AutoTokenizer, ClapTextModelWithProjection } from '@huggingface/transformers';\n * \n * // Load tokenizer and text model\n * const tokenizer = await AutoTokenizer.from_pretrained('Xenova/clap-htsat-unfused');\n * const text_model = await ClapTextModelWithProjection.from_pretrained('Xenova/clap-htsat-unfused');\n * \n * // Run tokenization\n * const texts = ['a sound of a cat', 'a sound of a dog'];\n * const text_inputs = tokenizer(texts, { padding: true, truncation: true });\n * \n * // Compute embeddings\n * const { text_embeds } = await text_model(text_inputs);\n * // Tensor {\n * // dims: [ 2, 512 ],\n * // type: 'float32',\n * // data: Float32Array(1024) [ ... ],\n * // size: 1024\n * // }\n * ```\n */\nexport class ClapTextModelWithProjection extends ClapPreTrainedModel {\n /** @type {typeof PreTrainedModel.from_pretrained} */\n static async from_pretrained(pretrained_model_name_or_path, options = {}) {\n return super.from_pretrained(pretrained_model_name_or_path, {\n ...options,\n // Update default model file name if not provided\n model_file_name: options.model_file_name ?? 'text_model',\n });\n }\n}\n\n/**\n * CLAP Audio Model with a projection layer on top (a linear layer on top of the pooled output).\n * \n * **Example:** Compute audio embeddings with `ClapAudioModelWithProjection`.\n * \n * ```javascript\n * import { AutoProcessor, ClapAudioModelWithProjection, read_audio } from '@huggingface/transformers';\n * \n * // Load processor and audio model\n * const processor = await AutoProcessor.from_pretrained('Xenova/clap-htsat-unfused');\n * const audio_model = await ClapAudioModelWithProjection.from_pretrained('Xenova/clap-htsat-unfused');\n * \n * // Read audio and run processor\n * const audio = await read_audio('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cat_meow.wav');\n * const audio_inputs = await processor(audio);\n * \n * // Compute embeddings\n * const { audio_embeds } = await audio_model(audio_inputs);\n * // Tensor {\n * // dims: [ 1, 512 ],\n * // type: 'float32',\n * // data: Float32Array(512) [ ... ],\n * // size: 512\n * // }\n * ```\n */\nexport class ClapAudioModelWithProjection extends ClapPreTrainedModel {\n /** @type {typeof PreTrainedModel.from_pretrained} */\n static async from_pretrained(pretrained_model_name_or_path, options = {}) {\n return super.from_pretrained(pretrained_model_name_or_path, {\n ...options,\n // Update default model file name if not provided\n model_file_name: options.model_file_name ?? 'audio_model',\n });\n }\n}\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// VITS models\nexport class VitsPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The complete VITS model, for text-to-speech synthesis.\n * \n * **Example:** Generate speech from text with `VitsModel`.\n * ```javascript\n * import { AutoTokenizer, VitsModel } from '@huggingface/transformers';\n * \n * // Load the tokenizer and model\n * const tokenizer = await AutoTokenizer.from_pretrained('Xenova/mms-tts-eng');\n * const model = await VitsModel.from_pretrained('Xenova/mms-tts-eng');\n * \n * // Run tokenization\n * const inputs = tokenizer('I love transformers');\n * \n * // Generate waveform\n * const { waveform } = await model(inputs);\n * // Tensor {\n * // dims: [ 1, 35328 ],\n * // type: 'float32',\n * // data: Float32Array(35328) [ ... ],\n * // size: 35328,\n * // }\n * ```\n */\nexport class VitsModel extends VitsPreTrainedModel {\n /**\n * Calls the model on new inputs.\n * @param {Object} model_inputs The inputs to the model.\n * @returns {Promise<VitsModelOutput>} The outputs for the VITS model.\n */\n async _call(model_inputs) {\n return new VitsModelOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Segformer models\nexport class SegformerPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare SegFormer encoder (Mix-Transformer) outputting raw hidden-states without any specific head on top.\n */\nexport class SegformerModel extends SegformerPreTrainedModel { }\n\n/**\n * SegFormer Model transformer with an image classification head on top (a linear layer on top of the final hidden states) e.g. for ImageNet.\n */\nexport class SegformerForImageClassification extends SegformerPreTrainedModel { }\n\n/**\n * SegFormer Model transformer with an all-MLP decode head on top e.g. for ADE20k, CityScapes.\n */\nexport class SegformerForSemanticSegmentation extends SegformerPreTrainedModel { }\n\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// StableLm models\nexport class StableLmPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare StableLm Model transformer outputting raw hidden-states without any specific head on top.\n */\nexport class StableLmModel extends StableLmPreTrainedModel { }\n\n/**\n * StableLm Model with a `language modeling` head on top for Causal Language Modeling (with past).\n */\nexport class StableLmForCausalLM extends StableLmPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\nexport class EfficientNetPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare EfficientNet model outputting raw features without any specific head on top.\n */\nexport class EfficientNetModel extends EfficientNetPreTrainedModel { }\n\n/**\n * EfficientNet Model with an image classification head on top (a linear layer on top of the pooled features).\n */\nexport class EfficientNetForImageClassification extends EfficientNetPreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Musicgen models\nexport class MusicgenPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare Musicgen decoder model outputting raw hidden-states without any specific head on top.\n */\nexport class MusicgenModel extends MusicgenPreTrainedModel { }\n\n/**\n * The MusicGen decoder model with a language modelling head on top.\n */\nexport class MusicgenForCausalLM extends MusicgenPreTrainedModel { }\n\n/**\n * The composite MusicGen model with a text encoder, audio encoder and Musicgen decoder,\n * for music generation tasks with one or both of text and audio prompts.\n * \n * **Example:** Generate music from text with `Xenova/musicgen-small`.\n * ```javascript\n * import { AutoTokenizer, MusicgenForConditionalGeneration } from '@huggingface/transformers';\n * \n * // Load tokenizer and model\n * const tokenizer = await AutoTokenizer.from_pretrained('Xenova/musicgen-small');\n * const model = await MusicgenForConditionalGeneration.from_pretrained(\n * 'Xenova/musicgen-small', { dtype: 'fp32' }\n * );\n * \n * // Prepare text input\n * const prompt = '80s pop track with bassy drums and synth';\n * const inputs = tokenizer(prompt);\n * \n * // Generate audio\n * const audio_values = await model.generate({\n * ...inputs,\n * max_new_tokens: 512,\n * do_sample: true,\n * guidance_scale: 3,\n * });\n * \n * // (Optional) Write the output to a WAV file\n * import wavefile from 'wavefile';\n * import fs from 'fs';\n * \n * const wav = new wavefile.WaveFile();\n * wav.fromScratch(1, model.config.audio_encoder.sampling_rate, '32f', audio_values.data);\n * fs.writeFileSync('musicgen_out.wav', wav.toBuffer());\n * ```\n */\nexport class MusicgenForConditionalGeneration extends PreTrainedModel { // NOTE: not MusicgenPreTrainedModel\n forward_params = [\n 'input_ids',\n 'attention_mask',\n 'encoder_outputs',\n 'decoder_input_ids',\n 'decoder_attention_mask',\n 'past_key_values',\n ];\n\n /**\n * Apply the pattern mask to the final ids,\n * then revert the pattern delay mask by filtering the pad token id in a single step.\n * @param {Tensor} outputs The output tensor from the model.\n * @returns {Tensor} The filtered output tensor.\n */\n _apply_and_filter_by_delay_pattern_mask(outputs) {\n const [bs_x_codebooks, seqLength] = outputs.dims;\n // @ts-expect-error TS2339\n const num_codebooks = this.config.decoder.num_codebooks;\n const upperBound = (seqLength - num_codebooks);\n\n let newDataSize = 0;\n for (let i = 0; i < outputs.size; ++i) {\n // @ts-expect-error TS2339\n if (outputs.data[i] === this.config.decoder.pad_token_id) {\n continue;\n }\n\n const row = (i % seqLength);\n const col = Math.floor(i / seqLength) % num_codebooks;\n\n const diff = row - col;\n if (diff > 0 && diff <= upperBound) {\n outputs.data[newDataSize++] = outputs.data[i];\n }\n }\n\n const batch_size = Math.floor(bs_x_codebooks / num_codebooks);\n const inferred = newDataSize / (batch_size * num_codebooks);\n // TODO: assert `inferred` is an integer\n return new Tensor(\n outputs.type,\n outputs.data.slice(0, newDataSize),\n [batch_size, num_codebooks, inferred]\n );\n }\n\n\n prepare_inputs_for_generation(input_ids, model_inputs, generation_config) {\n // apply the delay pattern mask\n let clonedInputIds = structuredClone(input_ids);\n for (let i = 0; i < clonedInputIds.length; ++i) {\n for (let j = 0; j < clonedInputIds[i].length; ++j) {\n // @ts-expect-error TS2339\n if ((i % this.config.decoder.num_codebooks) >= j) {\n // @ts-expect-error TS2339\n clonedInputIds[i][j] = BigInt(this.config.decoder.pad_token_id);\n }\n }\n }\n // for classifier free guidance we need to replicate the decoder args across the batch dim\n // (we'll split these before sampling)\n if (generation_config.guidance_scale !== null && generation_config.guidance_scale > 1) {\n // [batch, seqLength] -> [2 * batch, seqLength]\n clonedInputIds = clonedInputIds.concat(clonedInputIds);\n }\n\n const prepped = super.prepare_inputs_for_generation(clonedInputIds, model_inputs, generation_config);\n return prepped;\n }\n\n /**\n * Generates sequences of token ids for models with a language modeling head.\n * @param {import('./generation/parameters.js').GenerationFunctionParameters} options\n * @returns {Promise<ModelOutput|Tensor>} The output of the model, which can contain the generated token ids, attentions, and scores.\n */\n async generate(options) {\n\n const output_ids = await super.generate(options);\n\n // apply the pattern mask to the final ids\n // tensor: int64[1,batch_size,4,chunk_length]\n const audio_codes = this._apply_and_filter_by_delay_pattern_mask(\n /** @type {Tensor} */(output_ids)\n ).unsqueeze_(0); // append the frame dimension back to the audio codes\n\n const { audio_values } = await sessionRun(this.sessions['encodec_decode'], { audio_codes })\n\n return audio_values;\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// MobileNetV1 models\nexport class MobileNetV1PreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare MobileNetV1 model outputting raw hidden-states without any specific head on top.\n */\nexport class MobileNetV1Model extends MobileNetV1PreTrainedModel { }\n\n/**\n * MobileNetV1 model with an image classification head on top (a linear layer on top of the pooled features),\n * e.g. for ImageNet.\n */\nexport class MobileNetV1ForImageClassification extends MobileNetV1PreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// MobileNetV2 models\nexport class MobileNetV2PreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare MobileNetV2 model outputting raw hidden-states without any specific head on top.\n */\nexport class MobileNetV2Model extends MobileNetV2PreTrainedModel { }\n\n/**\n * MobileNetV2 model with an image classification head on top (a linear layer on top of the pooled features),\n * e.g. for ImageNet.\n */\nexport class MobileNetV2ForImageClassification extends MobileNetV2PreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// MobileNetV3 models\nexport class MobileNetV3PreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare MobileNetV3 model outputting raw hidden-states without any specific head on top.\n */\nexport class MobileNetV3Model extends MobileNetV3PreTrainedModel { }\n\n/**\n * MobileNetV3 model with an image classification head on top (a linear layer on top of the pooled features),\n * e.g. for ImageNet.\n */\nexport class MobileNetV3ForImageClassification extends MobileNetV3PreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// MobileNetV4 models\nexport class MobileNetV4PreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare MobileNetV4 model outputting raw hidden-states without any specific head on top.\n */\nexport class MobileNetV4Model extends MobileNetV4PreTrainedModel { }\n\n/**\n * MobileNetV4 model with an image classification head on top (a linear layer on top of the pooled features),\n * e.g. for ImageNet.\n */\nexport class MobileNetV4ForImageClassification extends MobileNetV4PreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new SequenceClassifierOutput(await super._call(model_inputs));\n }\n}\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// Decision Transformer models\nexport class DecisionTransformerPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The model builds upon the GPT2 architecture to perform autoregressive prediction of actions in an offline RL setting.\n * Refer to the paper for more details: https://arxiv.org/abs/2106.01345\n */\nexport class DecisionTransformerModel extends DecisionTransformerPreTrainedModel { }\n\n//////////////////////////////////////////////////\n\nexport class MultiModalityPreTrainedModel extends PreTrainedModel { }\nexport class MultiModalityCausalLM extends MultiModalityPreTrainedModel {\n forward_params = [\n // prepare_inputs_embeds\n 'input_ids',\n 'pixel_values',\n 'images_seq_mask',\n 'images_emb_mask',\n\n // language_model\n 'attention_mask',\n 'position_ids',\n 'past_key_values',\n ];\n\n /**\n * @param {ConstructorParameters<typeof MultiModalityPreTrainedModel>} args\n */\n constructor(...args) {\n super(...args);\n\n // State-based approach to switch out which heads to use during generation\n this._generation_mode = 'text';\n }\n\n async forward(model_inputs) {\n const mode = this._generation_mode ?? 'text';\n\n // TODO support re-using PKVs for input_ids.dims[1] !== 1\n // if (model_inputs.past_key_values) {\n // // && model_inputs.input_ids.dims[1] === 1\n // }\n\n let output_1;\n if (mode === 'text' || !model_inputs.past_key_values) {\n const session = this.sessions['prepare_inputs_embeds'];\n const prep_inputs = pick(model_inputs, session.inputNames);\n output_1 = await sessionRun(session, prep_inputs);\n } else {\n const session = this.sessions['gen_img_embeds'];\n const prep_inputs = pick({\n image_ids: model_inputs.input_ids,\n }, session.inputNames);\n output_1 = await sessionRun(session, prep_inputs);\n }\n\n const input_2 = { ...model_inputs, ...output_1 }\n const output_2 = await decoderForward(this, input_2);\n\n const head = this.sessions[\n mode === 'text'\n ? 'lm_head'\n : 'gen_head'\n ];\n if (!head) {\n throw new Error(`Unable to find \"${head}\" generation head`);\n }\n\n const output_3 = await sessionRun(head, pick(output_2, head.inputNames))\n\n return {\n ...output_1,\n ...output_2,\n ...output_3,\n };\n }\n\n /**\n * @param {import('./generation/parameters.js').GenerationFunctionParameters} options\n */\n async generate(options) {\n this._generation_mode = 'text';\n return super.generate(options);\n }\n\n /**\n * @param {import('./generation/parameters.js').GenerationFunctionParameters} options\n */\n async generate_images(options) {\n this._generation_mode = 'image';\n\n const start_num_tokens = (options.inputs ?? options[this.main_input_name]).dims[1];\n const all_tokens = await super.generate(options);\n\n const generated_tokens = (/** @type {Tensor} */(all_tokens)).slice(null, [start_num_tokens, null])\n\n const image_decode = this.sessions['image_decode'];\n const { decoded_image } = await sessionRun(image_decode, {\n generated_tokens,\n });\n\n // Equivalent to `np.clip((dec + 1) / 2 * 255, 0, 255)`\n const clamped = decoded_image\n .add_(1)\n .mul_(255 / 2)\n .clamp_(0, 255)\n .to('uint8');\n\n // Return as a list of images\n const images = [];\n for (const tensor of clamped) {\n const img = RawImage.fromTensor(tensor);\n images.push(img);\n }\n return images;\n }\n}\n\nexport class MgpstrModelOutput extends ModelOutput {\n constructor({ char_logits, bpe_logits, wp_logits }) {\n super();\n this.char_logits = char_logits;\n this.bpe_logits = bpe_logits;\n this.wp_logits = wp_logits;\n }\n\n get logits() {\n return [this.char_logits, this.bpe_logits, this.wp_logits];\n }\n}\n\nexport class MgpstrPreTrainedModel extends PreTrainedModel { }\n\n/**\n * MGP-STR Model transformer with three classification heads on top\n * (three A^3 modules and three linear layer on top of the transformer encoder output) for scene text recognition (STR).\n */\nexport class MgpstrForSceneTextRecognition extends MgpstrPreTrainedModel {\n /**\n * @param {any} model_inputs\n */\n async _call(model_inputs) {\n return new MgpstrModelOutput(await super._call(model_inputs));\n }\n}\n\n//////////////////////////////////////////////////\n// PatchTST Transformer models\nexport class PatchTSTPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare PatchTST Model outputting raw hidden-states without any specific head.\n */\nexport class PatchTSTModel extends PatchTSTPreTrainedModel { }\n\n/**\n * The PatchTST for prediction model.\n */\nexport class PatchTSTForPrediction extends PatchTSTPreTrainedModel { }\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\n// PatchTSMixer Transformer models\nexport class PatchTSMixerPreTrainedModel extends PreTrainedModel { }\n\n/**\n * The bare PatchTSMixer Model outputting raw hidden-states without any specific head.\n */\nexport class PatchTSMixerModel extends PatchTSMixerPreTrainedModel { }\n\n/**\n * The PatchTSMixer for prediction model.\n */\nexport class PatchTSMixerForPrediction extends PatchTSMixerPreTrainedModel { }\n//////////////////////////////////////////////////\n\n\n//////////////////////////////////////////////////\n// AutoModels, used to simplify construction of PreTrainedModels\n// (uses config to instantiate correct class)\n\n/**\n * Base class of all AutoModels. Contains the `from_pretrained` function\n * which is used to instantiate pretrained models.\n */\nexport class PretrainedMixin {\n /**\n * Mapping from model type to model class.\n * @type {Map<string, Object>[]}\n */\n static MODEL_CLASS_MAPPINGS = null;\n\n /**\n * Whether to attempt to instantiate the base class (`PretrainedModel`) if \n * the model type is not found in the mapping.\n */\n static BASE_IF_FAIL = false;\n\n\n /** @type {typeof PreTrainedModel.from_pretrained} */\n static async from_pretrained(pretrained_model_name_or_path, {\n progress_callback = null,\n config = null,\n cache_dir = null,\n local_files_only = false,\n revision = 'main',\n model_file_name = null,\n subfolder = 'onnx',\n device = null,\n dtype = null,\n use_external_data_format = null,\n session_options = {},\n } = {}) {\n\n const options = {\n progress_callback,\n config,\n cache_dir,\n local_files_only,\n revision,\n model_file_name,\n subfolder,\n device,\n dtype,\n use_external_data_format,\n session_options,\n }\n options.config = await AutoConfig.from_pretrained(pretrained_model_name_or_path, options);\n\n if (!this.MODEL_CLASS_MAPPINGS) {\n throw new Error(\"`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: \" + this.name);\n }\n\n for (const MODEL_CLASS_MAPPING of this.MODEL_CLASS_MAPPINGS) {\n const modelInfo = MODEL_CLASS_MAPPING.get(options.config.model_type);\n if (!modelInfo) {\n continue; // Item not found in this mapping\n }\n return await modelInfo[1].from_pretrained(pretrained_model_name_or_path, options);\n }\n\n if (this.BASE_IF_FAIL) {\n console.warn(`Unknown model class \"${options.config.model_type}\", attempting to construct from base class.`);\n return await PreTrainedModel.from_pretrained(pretrained_model_name_or_path, options);\n } else {\n throw Error(`Unsupported model type: ${options.config.model_type}`)\n }\n }\n}\n\nconst MODEL_MAPPING_NAMES_ENCODER_ONLY = new Map([\n ['bert', ['BertModel', BertModel]],\n ['modernbert', ['ModernBertModel', ModernBertModel]],\n ['nomic_bert', ['NomicBertModel', NomicBertModel]],\n ['roformer', ['RoFormerModel', RoFormerModel]],\n ['electra', ['ElectraModel', ElectraModel]],\n ['esm', ['EsmModel', EsmModel]],\n ['convbert', ['ConvBertModel', ConvBertModel]],\n ['camembert', ['CamembertModel', CamembertModel]],\n ['deberta', ['DebertaModel', DebertaModel]],\n ['deberta-v2', ['DebertaV2Model', DebertaV2Model]],\n ['mpnet', ['MPNetModel', MPNetModel]],\n ['albert', ['AlbertModel', AlbertModel]],\n ['distilbert', ['DistilBertModel', DistilBertModel]],\n ['roberta', ['RobertaModel', RobertaModel]],\n ['xlm', ['XLMModel', XLMModel]],\n ['xlm-roberta', ['XLMRobertaModel', XLMRobertaModel]],\n ['clap', ['ClapModel', ClapModel]],\n ['clip', ['CLIPModel', CLIPModel]],\n ['clipseg', ['CLIPSegModel', CLIPSegModel]],\n ['chinese_clip', ['ChineseCLIPModel', ChineseCLIPModel]],\n ['siglip', ['SiglipModel', SiglipModel]],\n ['jina_clip', ['JinaCLIPModel', JinaCLIPModel]],\n ['mobilebert', ['MobileBertModel', MobileBertModel]],\n ['squeezebert', ['SqueezeBertModel', SqueezeBertModel]],\n ['wav2vec2', ['Wav2Vec2Model', Wav2Vec2Model]],\n ['wav2vec2-bert', ['Wav2Vec2BertModel', Wav2Vec2BertModel]],\n ['unispeech', ['UniSpeechModel', UniSpeechModel]],\n ['unispeech-sat', ['UniSpeechSatModel', UniSpeechSatModel]],\n ['hubert', ['HubertModel', HubertModel]],\n ['wavlm', ['WavLMModel', WavLMModel]],\n ['audio-spectrogram-transformer', ['ASTModel', ASTModel]],\n ['vits', ['VitsModel', VitsModel]],\n ['pyannote', ['PyAnnoteModel', PyAnnoteModel]],\n ['wespeaker-resnet', ['WeSpeakerResNetModel', WeSpeakerResNetModel]],\n\n ['detr', ['DetrModel', DetrModel]],\n ['rt_detr', ['RTDetrModel', RTDetrModel]],\n ['table-transformer', ['TableTransformerModel', TableTransformerModel]],\n ['vit', ['ViTModel', ViTModel]],\n ['ijepa', ['IJepaModel', IJepaModel]],\n ['pvt', ['PvtModel', PvtModel]],\n ['vit_msn', ['ViTMSNModel', ViTMSNModel]],\n ['vit_mae', ['ViTMAEModel', ViTMAEModel]],\n ['groupvit', ['GroupViTModel', GroupViTModel]],\n ['fastvit', ['FastViTModel', FastViTModel]],\n ['mobilevit', ['MobileViTModel', MobileViTModel]],\n ['mobilevitv2', ['MobileViTV2Model', MobileViTV2Model]],\n ['owlvit', ['OwlViTModel', OwlViTModel]],\n ['owlv2', ['Owlv2Model', Owlv2Model]],\n ['beit', ['BeitModel', BeitModel]],\n ['deit', ['DeiTModel', DeiTModel]],\n ['hiera', ['HieraModel', HieraModel]],\n ['convnext', ['ConvNextModel', ConvNextModel]],\n ['convnextv2', ['ConvNextV2Model', ConvNextV2Model]],\n ['dinov2', ['Dinov2Model', Dinov2Model]],\n ['dinov2_with_registers', ['Dinov2WithRegistersModel', Dinov2WithRegistersModel]],\n ['resnet', ['ResNetModel', ResNetModel]],\n ['swin', ['SwinModel', SwinModel]],\n ['swin2sr', ['Swin2SRModel', Swin2SRModel]],\n ['donut-swin', ['DonutSwinModel', DonutSwinModel]],\n ['yolos', ['YolosModel', YolosModel]],\n ['dpt', ['DPTModel', DPTModel]],\n ['glpn', ['GLPNModel', GLPNModel]],\n\n ['hifigan', ['SpeechT5HifiGan', SpeechT5HifiGan]],\n ['efficientnet', ['EfficientNetModel', EfficientNetModel]],\n\n ['decision_transformer', ['DecisionTransformerModel', DecisionTransformerModel]],\n ['patchtst', ['PatchTSTForPrediction', PatchTSTModel]],\n ['patchtsmixer', ['PatchTSMixerForPrediction', PatchTSMixerModel]],\n\n ['mobilenet_v1', ['MobileNetV1Model', MobileNetV1Model]],\n ['mobilenet_v2', ['MobileNetV2Model', MobileNetV2Model]],\n ['mobilenet_v3', ['MobileNetV3Model', MobileNetV3Model]],\n ['mobilenet_v4', ['MobileNetV4Model', MobileNetV4Model]],\n\n ['maskformer', ['MaskFormerModel', MaskFormerModel]],\n ['mgp-str', ['MgpstrForSceneTextRecognition', MgpstrForSceneTextRecognition]],\n\n ['style_text_to_speech_2', ['StyleTextToSpeech2Model', StyleTextToSpeech2Model]],\n]);\n\nconst MODEL_MAPPING_NAMES_ENCODER_DECODER = new Map([\n ['t5', ['T5Model', T5Model]],\n ['longt5', ['LongT5Model', LongT5Model]],\n ['mt5', ['MT5Model', MT5Model]],\n ['bart', ['BartModel', BartModel]],\n ['mbart', ['MBartModel', MBartModel]],\n ['marian', ['MarianModel', MarianModel]],\n ['whisper', ['WhisperModel', WhisperModel]],\n ['m2m_100', ['M2M100Model', M2M100Model]],\n ['blenderbot', ['BlenderbotModel', BlenderbotModel]],\n ['blenderbot-small', ['BlenderbotSmallModel', BlenderbotSmallModel]],\n]);\n\n\nconst MODEL_MAPPING_NAMES_DECODER_ONLY = new Map([\n ['bloom', ['BloomModel', BloomModel]],\n ['jais', ['JAISModel', JAISModel]],\n ['gpt2', ['GPT2Model', GPT2Model]],\n ['gptj', ['GPTJModel', GPTJModel]],\n ['gpt_bigcode', ['GPTBigCodeModel', GPTBigCodeModel]],\n ['gpt_neo', ['GPTNeoModel', GPTNeoModel]],\n ['gpt_neox', ['GPTNeoXModel', GPTNeoXModel]],\n ['codegen', ['CodeGenModel', CodeGenModel]],\n ['llama', ['LlamaModel', LlamaModel]],\n ['exaone', ['ExaoneModel', ExaoneModel]],\n ['olmo', ['OlmoModel', OlmoModel]],\n ['olmo2', ['Olmo2Model', Olmo2Model]],\n ['mobilellm', ['MobileLLMModel', MobileLLMModel]],\n ['granite', ['GraniteModel', GraniteModel]],\n ['cohere', ['CohereModel', CohereModel]],\n ['gemma', ['GemmaModel', GemmaModel]],\n ['gemma2', ['Gemma2Model', Gemma2Model]],\n ['helium', ['HeliumModel', HeliumModel]],\n ['glm', ['GlmModel', GlmModel]],\n ['openelm', ['OpenELMModel', OpenELMModel]],\n ['qwen2', ['Qwen2Model', Qwen2Model]],\n ['phi', ['PhiModel', PhiModel]],\n ['phi3', ['Phi3Model', Phi3Model]],\n ['mpt', ['MptModel', MptModel]],\n ['opt', ['OPTModel', OPTModel]],\n ['mistral', ['MistralModel', MistralModel]],\n ['starcoder2', ['Starcoder2Model', Starcoder2Model]],\n ['falcon', ['FalconModel', FalconModel]],\n ['stablelm', ['StableLmModel', StableLmModel]],\n]);\n\nconst MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES = new Map([\n ['speecht5', ['SpeechT5ForSpeechToText', SpeechT5ForSpeechToText]],\n ['whisper', ['WhisperForConditionalGeneration', WhisperForConditionalGeneration]],\n ['moonshine', ['MoonshineForConditionalGeneration', MoonshineForConditionalGeneration]],\n]);\n\nconst MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES = new Map([\n ['speecht5', ['SpeechT5ForTextToSpeech', SpeechT5ForTextToSpeech]],\n]);\n\nconst MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES = new Map([\n ['vits', ['VitsModel', VitsModel]],\n ['musicgen', ['MusicgenForConditionalGeneration', MusicgenForConditionalGeneration]],\n]);\n\nconst MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES = new Map([\n ['bert', ['BertForSequenceClassification', BertForSequenceClassification]],\n ['modernbert', ['ModernBertForSequenceClassification', ModernBertForSequenceClassification]],\n ['roformer', ['RoFormerForSequenceClassification', RoFormerForSequenceClassification]],\n ['electra', ['ElectraForSequenceClassification', ElectraForSequenceClassification]],\n ['esm', ['EsmForSequenceClassification', EsmForSequenceClassification]],\n ['convbert', ['ConvBertForSequenceClassification', ConvBertForSequenceClassification]],\n ['camembert', ['CamembertForSequenceClassification', CamembertForSequenceClassification]],\n ['deberta', ['DebertaForSequenceClassification', DebertaForSequenceClassification]],\n ['deberta-v2', ['DebertaV2ForSequenceClassification', DebertaV2ForSequenceClassification]],\n ['mpnet', ['MPNetForSequenceClassification', MPNetForSequenceClassification]],\n ['albert', ['AlbertForSequenceClassification', AlbertForSequenceClassification]],\n ['distilbert', ['DistilBertForSequenceClassification', DistilBertForSequenceClassification]],\n ['roberta', ['RobertaForSequenceClassification', RobertaForSequenceClassification]],\n ['xlm', ['XLMForSequenceClassification', XLMForSequenceClassification]],\n ['xlm-roberta', ['XLMRobertaForSequenceClassification', XLMRobertaForSequenceClassification]],\n ['bart', ['BartForSequenceClassification', BartForSequenceClassification]],\n ['mbart', ['MBartForSequenceClassification', MBartForSequenceClassification]],\n ['mobilebert', ['MobileBertForSequenceClassification', MobileBertForSequenceClassification]],\n ['squeezebert', ['SqueezeBertForSequenceClassification', SqueezeBertForSequenceClassification]],\n]);\n\nconst MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES = new Map([\n ['bert', ['BertForTokenClassification', BertForTokenClassification]],\n ['modernbert', ['ModernBertForTokenClassification', ModernBertForTokenClassification]],\n ['roformer', ['RoFormerForTokenClassification', RoFormerForTokenClassification]],\n ['electra', ['ElectraForTokenClassification', ElectraForTokenClassification]],\n ['esm', ['EsmForTokenClassification', EsmForTokenClassification]],\n ['convbert', ['ConvBertForTokenClassification', ConvBertForTokenClassification]],\n ['camembert', ['CamembertForTokenClassification', CamembertForTokenClassification]],\n ['deberta', ['DebertaForTokenClassification', DebertaForTokenClassification]],\n ['deberta-v2', ['DebertaV2ForTokenClassification', DebertaV2ForTokenClassification]],\n ['mpnet', ['MPNetForTokenClassification', MPNetForTokenClassification]],\n ['distilbert', ['DistilBertForTokenClassification', DistilBertForTokenClassification]],\n ['roberta', ['RobertaForTokenClassification', RobertaForTokenClassification]],\n ['xlm', ['XLMForTokenClassification', XLMForTokenClassification]],\n ['xlm-roberta', ['XLMRobertaForTokenClassification', XLMRobertaForTokenClassification]],\n]);\n\nconst MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES = new Map([\n ['t5', ['T5ForConditionalGeneration', T5ForConditionalGeneration]],\n ['longt5', ['LongT5ForConditionalGeneration', LongT5ForConditionalGeneration]],\n ['mt5', ['MT5ForConditionalGeneration', MT5ForConditionalGeneration]],\n ['bart', ['BartForConditionalGeneration', BartForConditionalGeneration]],\n ['mbart', ['MBartForConditionalGeneration', MBartForConditionalGeneration]],\n ['marian', ['MarianMTModel', MarianMTModel]],\n ['m2m_100', ['M2M100ForConditionalGeneration', M2M100ForConditionalGeneration]],\n ['blenderbot', ['BlenderbotForConditionalGeneration', BlenderbotForConditionalGeneration]],\n ['blenderbot-small', ['BlenderbotSmallForConditionalGeneration', BlenderbotSmallForConditionalGeneration]],\n]);\n\nconst MODEL_FOR_CAUSAL_LM_MAPPING_NAMES = new Map([\n ['bloom', ['BloomForCausalLM', BloomForCausalLM]],\n ['gpt2', ['GPT2LMHeadModel', GPT2LMHeadModel]],\n ['jais', ['JAISLMHeadModel', JAISLMHeadModel]],\n ['gptj', ['GPTJForCausalLM', GPTJForCausalLM]],\n ['gpt_bigcode', ['GPTBigCodeForCausalLM', GPTBigCodeForCausalLM]],\n ['gpt_neo', ['GPTNeoForCausalLM', GPTNeoForCausalLM]],\n ['gpt_neox', ['GPTNeoXForCausalLM', GPTNeoXForCausalLM]],\n ['codegen', ['CodeGenForCausalLM', CodeGenForCausalLM]],\n ['llama', ['LlamaForCausalLM', LlamaForCausalLM]],\n ['exaone', ['ExaoneForCausalLM', ExaoneForCausalLM]],\n ['olmo', ['OlmoForCausalLM', OlmoForCausalLM]],\n ['olmo2', ['Olmo2ForCausalLM', Olmo2ForCausalLM]],\n ['mobilellm', ['MobileLLMForCausalLM', MobileLLMForCausalLM]],\n ['granite', ['GraniteForCausalLM', GraniteForCausalLM]],\n ['cohere', ['CohereForCausalLM', CohereForCausalLM]],\n ['gemma', ['GemmaForCausalLM', GemmaForCausalLM]],\n ['gemma2', ['Gemma2ForCausalLM', Gemma2ForCausalLM]],\n ['helium', ['HeliumForCausalLM', HeliumForCausalLM]],\n ['glm', ['GlmForCausalLM', GlmForCausalLM]],\n ['openelm', ['OpenELMForCausalLM', OpenELMForCausalLM]],\n ['qwen2', ['Qwen2ForCausalLM', Qwen2ForCausalLM]],\n ['phi', ['PhiForCausalLM', PhiForCausalLM]],\n ['phi3', ['Phi3ForCausalLM', Phi3ForCausalLM]],\n ['mpt', ['MptForCausalLM', MptForCausalLM]],\n ['opt', ['OPTForCausalLM', OPTForCausalLM]],\n ['mbart', ['MBartForCausalLM', MBartForCausalLM]],\n ['mistral', ['MistralForCausalLM', MistralForCausalLM]],\n ['starcoder2', ['Starcoder2ForCausalLM', Starcoder2ForCausalLM]],\n ['falcon', ['FalconForCausalLM', FalconForCausalLM]],\n ['trocr', ['TrOCRForCausalLM', TrOCRForCausalLM]],\n ['stablelm', ['StableLmForCausalLM', StableLmForCausalLM]],\n\n // Also image-text-to-text\n ['phi3_v', ['Phi3VForCausalLM', Phi3VForCausalLM]],\n]);\n\nconst MODEL_FOR_MULTIMODALITY_MAPPING_NAMES = new Map([\n ['multi_modality', ['MultiModalityCausalLM', MultiModalityCausalLM]],\n]);\n\n\nconst MODEL_FOR_MASKED_LM_MAPPING_NAMES = new Map([\n ['bert', ['BertForMaskedLM', BertForMaskedLM]],\n ['modernbert', ['ModernBertForMaskedLM', ModernBertForMaskedLM]],\n ['roformer', ['RoFormerForMaskedLM', RoFormerForMaskedLM]],\n ['electra', ['ElectraForMaskedLM', ElectraForMaskedLM]],\n ['esm', ['EsmForMaskedLM', EsmForMaskedLM]],\n ['convbert', ['ConvBertForMaskedLM', ConvBertForMaskedLM]],\n ['camembert', ['CamembertForMaskedLM', CamembertForMaskedLM]],\n ['deberta', ['DebertaForMaskedLM', DebertaForMaskedLM]],\n ['deberta-v2', ['DebertaV2ForMaskedLM', DebertaV2ForMaskedLM]],\n ['mpnet', ['MPNetForMaskedLM', MPNetForMaskedLM]],\n ['albert', ['AlbertForMaskedLM', AlbertForMaskedLM]],\n ['distilbert', ['DistilBertForMaskedLM', DistilBertForMaskedLM]],\n ['roberta', ['RobertaForMaskedLM', RobertaForMaskedLM]],\n ['xlm', ['XLMWithLMHeadModel', XLMWithLMHeadModel]],\n ['xlm-roberta', ['XLMRobertaForMaskedLM', XLMRobertaForMaskedLM]],\n ['mobilebert', ['MobileBertForMaskedLM', MobileBertForMaskedLM]],\n ['squeezebert', ['SqueezeBertForMaskedLM', SqueezeBertForMaskedLM]],\n]);\n\nconst MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES = new Map([\n ['bert', ['BertForQuestionAnswering', BertForQuestionAnswering]],\n ['roformer', ['RoFormerForQuestionAnswering', RoFormerForQuestionAnswering]],\n ['electra', ['ElectraForQuestionAnswering', ElectraForQuestionAnswering]],\n ['convbert', ['ConvBertForQuestionAnswering', ConvBertForQuestionAnswering]],\n ['camembert', ['CamembertForQuestionAnswering', CamembertForQuestionAnswering]],\n ['deberta', ['DebertaForQuestionAnswering', DebertaForQuestionAnswering]],\n ['deberta-v2', ['DebertaV2ForQuestionAnswering', DebertaV2ForQuestionAnswering]],\n ['mpnet', ['MPNetForQuestionAnswering', MPNetForQuestionAnswering]],\n ['albert', ['AlbertForQuestionAnswering', AlbertForQuestionAnswering]],\n ['distilbert', ['DistilBertForQuestionAnswering', DistilBertForQuestionAnswering]],\n ['roberta', ['RobertaForQuestionAnswering', RobertaForQuestionAnswering]],\n ['xlm', ['XLMForQuestionAnswering', XLMForQuestionAnswering]],\n ['xlm-roberta', ['XLMRobertaForQuestionAnswering', XLMRobertaForQuestionAnswering]],\n ['mobilebert', ['MobileBertForQuestionAnswering', MobileBertForQuestionAnswering]],\n ['squeezebert', ['SqueezeBertForQuestionAnswering', SqueezeBertForQuestionAnswering]],\n]);\n\nconst MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES = new Map([\n ['vision-encoder-decoder', ['VisionEncoderDecoderModel', VisionEncoderDecoderModel]],\n ['idefics3', ['Idefics3ForConditionalGeneration', Idefics3ForConditionalGeneration]],\n]);\n\nconst MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES = new Map([\n ['llava', ['LlavaForConditionalGeneration', LlavaForConditionalGeneration]],\n ['llava_onevision', ['LlavaOnevisionForConditionalGeneration', LlavaOnevisionForConditionalGeneration]],\n ['moondream1', ['Moondream1ForConditionalGeneration', Moondream1ForConditionalGeneration]],\n ['florence2', ['Florence2ForConditionalGeneration', Florence2ForConditionalGeneration]],\n ['qwen2-vl', ['Qwen2VLForConditionalGeneration', Qwen2VLForConditionalGeneration]],\n ['idefics3', ['Idefics3ForConditionalGeneration', Idefics3ForConditionalGeneration]],\n ['paligemma', ['PaliGemmaForConditionalGeneration', PaliGemmaForConditionalGeneration]],\n]);\n\nconst MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES = new Map([\n ['vision-encoder-decoder', ['VisionEncoderDecoderModel', VisionEncoderDecoderModel]],\n]);\n\nconst MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES = new Map([\n ['vit', ['ViTForImageClassification', ViTForImageClassification]],\n ['ijepa', ['IJepaForImageClassification', IJepaForImageClassification]],\n ['pvt', ['PvtForImageClassification', PvtForImageClassification]],\n ['vit_msn', ['ViTMSNForImageClassification', ViTMSNForImageClassification]],\n ['fastvit', ['FastViTForImageClassification', FastViTForImageClassification]],\n ['mobilevit', ['MobileViTForImageClassification', MobileViTForImageClassification]],\n ['mobilevitv2', ['MobileViTV2ForImageClassification', MobileViTV2ForImageClassification]],\n ['beit', ['BeitForImageClassification', BeitForImageClassification]],\n ['deit', ['DeiTForImageClassification', DeiTForImageClassification]],\n ['hiera', ['HieraForImageClassification', HieraForImageClassification]],\n ['convnext', ['ConvNextForImageClassification', ConvNextForImageClassification]],\n ['convnextv2', ['ConvNextV2ForImageClassification', ConvNextV2ForImageClassification]],\n ['dinov2', ['Dinov2ForImageClassification', Dinov2ForImageClassification]],\n ['dinov2_with_registers', ['Dinov2WithRegistersForImageClassification', Dinov2WithRegistersForImageClassification]],\n ['resnet', ['ResNetForImageClassification', ResNetForImageClassification]],\n ['swin', ['SwinForImageClassification', SwinForImageClassification]],\n ['segformer', ['SegformerForImageClassification', SegformerForImageClassification]],\n ['efficientnet', ['EfficientNetForImageClassification', EfficientNetForImageClassification]],\n ['mobilenet_v1', ['MobileNetV1ForImageClassification', MobileNetV1ForImageClassification]],\n ['mobilenet_v2', ['MobileNetV2ForImageClassification', MobileNetV2ForImageClassification]],\n ['mobilenet_v3', ['MobileNetV3ForImageClassification', MobileNetV3ForImageClassification]],\n ['mobilenet_v4', ['MobileNetV4ForImageClassification', MobileNetV4ForImageClassification]],\n]);\n\nconst MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES = new Map([\n ['detr', ['DetrForObjectDetection', DetrForObjectDetection]],\n ['rt_detr', ['RTDetrForObjectDetection', RTDetrForObjectDetection]],\n ['table-transformer', ['TableTransformerForObjectDetection', TableTransformerForObjectDetection]],\n ['yolos', ['YolosForObjectDetection', YolosForObjectDetection]],\n]);\n\nconst MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES = new Map([\n ['owlvit', ['OwlViTForObjectDetection', OwlViTForObjectDetection]],\n ['owlv2', ['Owlv2ForObjectDetection', Owlv2ForObjectDetection]],\n ['grounding-dino', ['GroundingDinoForObjectDetection', GroundingDinoForObjectDetection]],\n]);\n\nconst MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES = new Map([\n // TODO: Do not add new models here\n ['detr', ['DetrForSegmentation', DetrForSegmentation]],\n ['clipseg', ['CLIPSegForImageSegmentation', CLIPSegForImageSegmentation]],\n]);\n\nconst MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES = new Map([\n ['segformer', ['SegformerForSemanticSegmentation', SegformerForSemanticSegmentation]],\n ['sapiens', ['SapiensForSemanticSegmentation', SapiensForSemanticSegmentation]],\n]);\n\nconst MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING_NAMES = new Map([\n ['detr', ['DetrForSegmentation', DetrForSegmentation]],\n ['maskformer', ['MaskFormerForInstanceSegmentation', MaskFormerForInstanceSegmentation]],\n]);\n\nconst MODEL_FOR_MASK_GENERATION_MAPPING_NAMES = new Map([\n ['sam', ['SamModel', SamModel]],\n]);\n\nconst MODEL_FOR_CTC_MAPPING_NAMES = new Map([\n ['wav2vec2', ['Wav2Vec2ForCTC', Wav2Vec2ForCTC]],\n ['wav2vec2-bert', ['Wav2Vec2BertForCTC', Wav2Vec2BertForCTC]],\n ['unispeech', ['UniSpeechForCTC', UniSpeechForCTC]],\n ['unispeech-sat', ['UniSpeechSatForCTC', UniSpeechSatForCTC]],\n ['wavlm', ['WavLMForCTC', WavLMForCTC]],\n ['hubert', ['HubertForCTC', HubertForCTC]],\n]);\n\nconst MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES = new Map([\n ['wav2vec2', ['Wav2Vec2ForSequenceClassification', Wav2Vec2ForSequenceClassification]],\n ['wav2vec2-bert', ['Wav2Vec2BertForSequenceClassification', Wav2Vec2BertForSequenceClassification]],\n ['unispeech', ['UniSpeechForSequenceClassification', UniSpeechForSequenceClassification]],\n ['unispeech-sat', ['UniSpeechSatForSequenceClassification', UniSpeechSatForSequenceClassification]],\n ['wavlm', ['WavLMForSequenceClassification', WavLMForSequenceClassification]],\n ['hubert', ['HubertForSequenceClassification', HubertForSequenceClassification]],\n ['audio-spectrogram-transformer', ['ASTForAudioClassification', ASTForAudioClassification]],\n]);\n\nconst MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES = new Map([\n ['wavlm', ['WavLMForXVector', WavLMForXVector]],\n]);\n\nconst MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES = new Map([\n ['unispeech-sat', ['UniSpeechSatForAudioFrameClassification', UniSpeechSatForAudioFrameClassification]],\n ['wavlm', ['WavLMForAudioFrameClassification', WavLMForAudioFrameClassification]],\n ['wav2vec2', ['Wav2Vec2ForAudioFrameClassification', Wav2Vec2ForAudioFrameClassification]],\n ['pyannote', ['PyAnnoteForAudioFrameClassification', PyAnnoteForAudioFrameClassification]],\n]);\n\nconst MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES = new Map([\n ['vitmatte', ['VitMatteForImageMatting', VitMatteForImageMatting]],\n]);\n\nconst MODEL_FOR_TIME_SERIES_PREDICTION_MAPPING_NAMES = new Map([\n ['patchtst', ['PatchTSTForPrediction', PatchTSTForPrediction]],\n ['patchtsmixer', ['PatchTSMixerForPrediction', PatchTSMixerForPrediction]],\n])\n\nconst MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES = new Map([\n ['swin2sr', ['Swin2SRForImageSuperResolution', Swin2SRForImageSuperResolution]],\n])\n\nconst MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES = new Map([\n ['dpt', ['DPTForDepthEstimation', DPTForDepthEstimation]],\n ['depth_anything', ['DepthAnythingForDepthEstimation', DepthAnythingForDepthEstimation]],\n ['glpn', ['GLPNForDepthEstimation', GLPNForDepthEstimation]],\n ['sapiens', ['SapiensForDepthEstimation', SapiensForDepthEstimation]],\n ['depth_pro', ['DepthProForDepthEstimation', DepthProForDepthEstimation]],\n])\n\nconst MODEL_FOR_NORMAL_ESTIMATION_MAPPING_NAMES = new Map([\n ['sapiens', ['SapiensForNormalEstimation', SapiensForNormalEstimation]],\n])\n\nconst MODEL_FOR_POSE_ESTIMATION_MAPPING_NAMES = new Map([\n ['vitpose', ['VitPoseForPoseEstimation', VitPoseForPoseEstimation]],\n])\n\n// NOTE: This is custom to Transformers.js, and is necessary because certain models\n// (e.g., CLIP) are split into vision and text components\nconst MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES = new Map([\n ['clip', ['CLIPVisionModelWithProjection', CLIPVisionModelWithProjection]],\n ['siglip', ['SiglipVisionModel', SiglipVisionModel]],\n ['jina_clip', ['JinaCLIPVisionModel', JinaCLIPVisionModel]],\n])\n\nconst MODEL_CLASS_TYPE_MAPPING = [\n [MODEL_MAPPING_NAMES_ENCODER_ONLY, MODEL_TYPES.EncoderOnly],\n [MODEL_MAPPING_NAMES_ENCODER_DECODER, MODEL_TYPES.EncoderDecoder],\n [MODEL_MAPPING_NAMES_DECODER_ONLY, MODEL_TYPES.DecoderOnly],\n [MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n [MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n [MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES, MODEL_TYPES.Seq2Seq],\n [MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES, MODEL_TYPES.Seq2Seq],\n [MODEL_FOR_CAUSAL_LM_MAPPING_NAMES, MODEL_TYPES.DecoderOnly],\n [MODEL_FOR_MULTIMODALITY_MAPPING_NAMES, MODEL_TYPES.MultiModality],\n [MODEL_FOR_MASKED_LM_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n [MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n [MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES, MODEL_TYPES.Vision2Seq],\n [MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES, MODEL_TYPES.ImageTextToText],\n [MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n [MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n [MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n [MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n [MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n [MODEL_FOR_TIME_SERIES_PREDICTION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n [MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n [MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n [MODEL_FOR_NORMAL_ESTIMATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n [MODEL_FOR_POSE_ESTIMATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n [MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n [MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n [MODEL_FOR_MASK_GENERATION_MAPPING_NAMES, MODEL_TYPES.MaskGeneration],\n [MODEL_FOR_CTC_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n [MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n [MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES, MODEL_TYPES.Seq2Seq],\n [MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n [MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n [MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n\n // Custom:\n [MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],\n];\n\nfor (const [mappings, type] of MODEL_CLASS_TYPE_MAPPING) {\n // @ts-ignore\n for (const [name, model] of mappings.values()) {\n MODEL_TYPE_MAPPING.set(name, type);\n MODEL_CLASS_TO_NAME_MAPPING.set(model, name);\n MODEL_NAME_TO_CLASS_MAPPING.set(name, model);\n }\n}\n\nconst CUSTOM_MAPPING = [\n // OVERRIDE:\n // TODO: Refactor to allow class to specify model\n ['MusicgenForConditionalGeneration', MusicgenForConditionalGeneration, MODEL_TYPES.Musicgen],\n ['Phi3VForCausalLM', Phi3VForCausalLM, MODEL_TYPES.Phi3V],\n\n ['CLIPTextModelWithProjection', CLIPTextModelWithProjection, MODEL_TYPES.EncoderOnly],\n ['SiglipTextModel', SiglipTextModel, MODEL_TYPES.EncoderOnly],\n ['JinaCLIPTextModel', JinaCLIPTextModel, MODEL_TYPES.EncoderOnly],\n ['ClapTextModelWithProjection', ClapTextModelWithProjection, MODEL_TYPES.EncoderOnly],\n ['ClapAudioModelWithProjection', ClapAudioModelWithProjection, MODEL_TYPES.EncoderOnly],\n]\nfor (const [name, model, type] of CUSTOM_MAPPING) {\n MODEL_TYPE_MAPPING.set(name, type);\n MODEL_CLASS_TO_NAME_MAPPING.set(model, name);\n MODEL_NAME_TO_CLASS_MAPPING.set(name, model);\n}\n\n\n/**\n * Helper class which is used to instantiate pretrained models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModel.from_pretrained('Xenova/bert-base-uncased');\n */\nexport class AutoModel extends PretrainedMixin {\n /** @type {Map<string, Object>[]} */\n // @ts-ignore\n static MODEL_CLASS_MAPPINGS = MODEL_CLASS_TYPE_MAPPING.map(x => x[0]);\n static BASE_IF_FAIL = true;\n}\n\n/**\n * Helper class which is used to instantiate pretrained sequence classification models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForSequenceClassification.from_pretrained('Xenova/distilbert-base-uncased-finetuned-sst-2-english');\n */\nexport class AutoModelForSequenceClassification extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained token classification models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForTokenClassification.from_pretrained('Xenova/distilbert-base-multilingual-cased-ner-hrl');\n */\nexport class AutoModelForTokenClassification extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained sequence-to-sequence models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForSeq2SeqLM.from_pretrained('Xenova/t5-small');\n */\nexport class AutoModelForSeq2SeqLM extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained sequence-to-sequence speech-to-text models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForSpeechSeq2Seq.from_pretrained('openai/whisper-tiny.en');\n */\nexport class AutoModelForSpeechSeq2Seq extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained sequence-to-sequence text-to-spectrogram models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForTextToSpectrogram.from_pretrained('microsoft/speecht5_tts');\n */\nexport class AutoModelForTextToSpectrogram extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained text-to-waveform models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForTextToSpectrogram.from_pretrained('facebook/mms-tts-eng');\n */\nexport class AutoModelForTextToWaveform extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained causal language models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForCausalLM.from_pretrained('Xenova/gpt2');\n */\nexport class AutoModelForCausalLM extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_CAUSAL_LM_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained masked language models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForMaskedLM.from_pretrained('Xenova/bert-base-uncased');\n */\nexport class AutoModelForMaskedLM extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_MASKED_LM_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained question answering models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForQuestionAnswering.from_pretrained('Xenova/distilbert-base-cased-distilled-squad');\n */\nexport class AutoModelForQuestionAnswering extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained vision-to-sequence models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForVision2Seq.from_pretrained('Xenova/vit-gpt2-image-captioning');\n */\nexport class AutoModelForVision2Seq extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained image classification models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForImageClassification.from_pretrained('Xenova/vit-base-patch16-224');\n */\nexport class AutoModelForImageClassification extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained image segmentation models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForImageSegmentation.from_pretrained('Xenova/detr-resnet-50-panoptic');\n */\nexport class AutoModelForImageSegmentation extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained image segmentation models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForSemanticSegmentation.from_pretrained('nvidia/segformer-b3-finetuned-cityscapes-1024-1024');\n */\nexport class AutoModelForSemanticSegmentation extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained universal image segmentation models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForUniversalSegmentation.from_pretrained('hf-internal-testing/tiny-random-MaskFormerForInstanceSegmentation');\n */\nexport class AutoModelForUniversalSegmentation extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING_NAMES];\n}\n\n/**\n * Helper class which is used to instantiate pretrained object detection models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForObjectDetection.from_pretrained('Xenova/detr-resnet-50');\n */\nexport class AutoModelForObjectDetection extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES];\n}\n\nexport class AutoModelForZeroShotObjectDetection extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES];\n}\n\n\n/**\n * Helper class which is used to instantiate pretrained mask generation models with the `from_pretrained` function.\n * The chosen model class is determined by the type specified in the model config.\n * \n * @example\n * let model = await AutoModelForMaskGeneration.from_pretrained('Xenova/sam-vit-base');\n */\nexport class AutoModelForMaskGeneration extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_MASK_GENERATION_MAPPING_NAMES];\n}\n\nexport class AutoModelForCTC extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_CTC_MAPPING_NAMES];\n}\n\nexport class AutoModelForAudioClassification extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES];\n}\n\nexport class AutoModelForXVector extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES];\n}\n\nexport class AutoModelForAudioFrameClassification extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES];\n}\n\nexport class AutoModelForDocumentQuestionAnswering extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES];\n}\n\nexport class AutoModelForImageMatting extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES];\n}\n\nexport class AutoModelForImageToImage extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES];\n}\n\nexport class AutoModelForDepthEstimation extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES];\n}\n\nexport class AutoModelForNormalEstimation extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_NORMAL_ESTIMATION_MAPPING_NAMES];\n}\n\nexport class AutoModelForPoseEstimation extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_POSE_ESTIMATION_MAPPING_NAMES];\n}\n\nexport class AutoModelForImageFeatureExtraction extends PretrainedMixin {\n static MODEL_CLASS_MAPPINGS = [MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES];\n}\n\n//////////////////////////////////////////////////\n\n//////////////////////////////////////////////////\nexport class Seq2SeqLMOutput extends ModelOutput {\n /**\n * @param {Object} output The output of the model.\n * @param {Tensor} output.logits The output logits of the model.\n * @param {Tensor} output.past_key_values An tensor of key/value pairs that represent the previous state of the model.\n * @param {Tensor} output.encoder_outputs The output of the encoder in a sequence-to-sequence model.\n * @param {Tensor} [output.decoder_attentions] Attentions weights of the decoder, after the attention softmax, used to compute the weighted average in the self-attention heads.\n * @param {Tensor} [output.cross_attentions] Attentions weights of the decoder's cross-attention layer, after the attention softmax, used to compute the weighted average in the cross-attention heads.\n */\n constructor({ logits, past_key_values, encoder_outputs, decoder_attentions = null, cross_attentions = null }) {\n super();\n this.logits = logits;\n this.past_key_values = past_key_values;\n this.encoder_outputs = encoder_outputs;\n this.decoder_attentions = decoder_attentions;\n this.cross_attentions = cross_attentions;\n }\n}\n\n/**\n * Base class for outputs of sentence classification models.\n */\nexport class SequenceClassifierOutput extends ModelOutput {\n /**\n * @param {Object} output The output of the model.\n * @param {Tensor} output.logits classification (or regression if config.num_labels==1) scores (before SoftMax).\n * @param {Record<string, Tensor>} [output.attentions] Object of `torch.FloatTensor` (one for each layer) of shape `(batch_size, num_heads, sequence_length, sequence_length)`.\n * Attentions weights after the attention softmax, used to compute the weighted average in the self-attention heads.\n */\n constructor({ logits, ...attentions }) {\n super();\n this.logits = logits;\n const attentions_list = Object.values(attentions);\n if (attentions_list.length > 0) {\n // Only set attentions if they are not empty\n this.attentions = attentions_list;\n }\n }\n}\n\n/**\n * Base class for outputs of XVector models.\n */\nexport class XVectorOutput extends ModelOutput {\n /**\n * @param {Object} output The output of the model.\n * @param {Tensor} output.logits Classification hidden states before AMSoftmax, of shape `(batch_size, config.xvector_output_dim)`.\n * @param {Tensor} output.embeddings Utterance embeddings used for vector similarity-based retrieval, of shape `(batch_size, config.xvector_output_dim)`.\n */\n constructor({ logits, embeddings }) {\n super();\n this.logits = logits;\n this.embeddings = embeddings;\n }\n}\n\n/**\n * Base class for outputs of token classification models.\n */\nexport class TokenClassifierOutput extends ModelOutput {\n /**\n * @param {Object} output The output of the model.\n * @param {Tensor} output.logits Classification scores (before SoftMax).\n */\n constructor({ logits }) {\n super();\n this.logits = logits;\n }\n}\n\n/**\n * Base class for masked language models outputs.\n */\nexport class MaskedLMOutput extends ModelOutput {\n /**\n * @param {Object} output The output of the model.\n * @param {Tensor} output.logits Prediction scores of the language modeling head (scores for each vocabulary token before SoftMax).\n */\n constructor({ logits }) {\n super();\n this.logits = logits;\n }\n}\n\n/**\n * Base class for outputs of question answering models.\n */\nexport class QuestionAnsweringModelOutput extends ModelOutput {\n /**\n * @param {Object} output The output of the model.\n * @param {Tensor} output.start_logits Span-start scores (before SoftMax).\n * @param {Tensor} output.end_logits Span-end scores (before SoftMax).\n */\n constructor({ start_logits, end_logits }) {\n super();\n this.start_logits = start_logits;\n this.end_logits = end_logits;\n }\n}\n\n\n/**\n * Base class for causal language model (or autoregressive) outputs.\n */\nexport class CausalLMOutput extends ModelOutput {\n /**\n * @param {Object} output The output of the model.\n * @param {Tensor} output.logits Prediction scores of the language modeling head (scores for each vocabulary token before softmax).\n */\n constructor({ logits }) {\n super();\n this.logits = logits;\n }\n}\n\n/**\n * Base class for causal language model (or autoregressive) outputs.\n */\nexport class CausalLMOutputWithPast extends ModelOutput {\n /**\n * @param {Object} output The output of the model.\n * @param {Tensor} output.logits Prediction scores of the language modeling head (scores for each vocabulary token before softmax).\n * @param {Tensor} output.past_key_values Contains pre-computed hidden-states (key and values in the self-attention blocks)\n * that can be used (see `past_key_values` input) to speed up sequential decoding.\n */\n constructor({ logits, past_key_values }) {\n super();\n this.logits = logits;\n this.past_key_values = past_key_values;\n }\n}\n\nexport class ImageMattingOutput extends ModelOutput {\n /**\n * @param {Object} output The output of the model.\n * @param {Tensor} output.alphas Estimated alpha values, of shape `(batch_size, num_channels, height, width)`.\n */\n constructor({ alphas }) {\n super();\n this.alphas = alphas;\n }\n}\n\n/**\n * Describes the outputs for the VITS model.\n */\nexport class VitsModelOutput extends ModelOutput {\n /**\n * @param {Object} output The output of the model.\n * @param {Tensor} output.waveform The final audio waveform predicted by the model, of shape `(batch_size, sequence_length)`.\n * @param {Tensor} output.spectrogram The log-mel spectrogram predicted at the output of the flow model.\n * This spectrogram is passed to the Hi-Fi GAN decoder model to obtain the final audio waveform.\n */\n constructor({ waveform, spectrogram }) {\n super();\n this.waveform = waveform;\n this.spectrogram = spectrogram;\n }\n}\n", "import { FeatureExtractor, validate_audio_inputs } from '../../base/feature_extraction_utils.js';\nimport { Tensor } from '../../utils/tensor.js';\nimport { mel_filter_bank, spectrogram, window_function } from '../../utils/audio.js';\n\n\nexport class ASTFeatureExtractor extends FeatureExtractor {\n\n constructor(config) {\n super(config);\n\n const sampling_rate = this.config.sampling_rate;\n const mel_filters = mel_filter_bank(\n 256, // num_frequency_bins\n this.config.num_mel_bins, // num_mel_filters\n 20, // min_frequency\n Math.floor(sampling_rate / 2), // max_frequency\n sampling_rate, // sampling_rate\n null, // norm\n \"kaldi\", // mel_scale\n true, // triangularize_in_mel_space\n );\n\n // Do padding:\n for (let i = 0; i < mel_filters.length; ++i) {\n mel_filters[i].push(0);\n }\n this.mel_filters = mel_filters;\n\n this.window = window_function(400, 'hann', {\n periodic: false,\n })\n\n this.mean = this.config.mean;\n this.std = this.config.std;\n }\n\n /**\n * Computes the log-Mel spectrogram of the provided audio waveform.\n * @param {Float32Array|Float64Array} waveform The audio waveform to process.\n * @param {number} max_length The maximum number of frames to return.\n * @returns {Promise<Tensor>} An object containing the log-Mel spectrogram data as a Float32Array and its dimensions as an array of numbers.\n */\n async _extract_fbank_features(waveform, max_length) {\n // NOTE: We don't pad/truncate since that is passed in as `max_num_frames`\n return spectrogram(\n waveform,\n this.window, // window\n 400, // frame_length\n 160, // hop_length\n {\n fft_length: 512,\n power: 2.0,\n center: false,\n preemphasis: 0.97,\n mel_filters: this.mel_filters,\n log_mel: 'log',\n mel_floor: 1.192092955078125e-07,\n remove_dc_offset: true,\n\n // Custom\n max_num_frames: max_length,\n transpose: true,\n }\n )\n }\n\n\n /**\n * Asynchronously extracts features from a given audio using the provided configuration.\n * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array.\n * @returns {Promise<{ input_values: Tensor }>} A Promise resolving to an object containing the extracted input features as a Tensor.\n */\n async _call(audio) {\n validate_audio_inputs(audio, 'ASTFeatureExtractor');\n\n const features = await this._extract_fbank_features(audio, this.config.max_length);\n if (this.config.do_normalize) {\n // Normalize the input audio spectrogram to have mean=0, std=0.5\n const denom = this.std * 2;\n const features_data = features.data;\n for (let i = 0; i < features_data.length; ++i) {\n features_data[i] = (features_data[i] - this.mean) / denom;\n }\n }\n\n return {\n input_values: features.unsqueeze_(0)\n };\n }\n}\n", "\nimport { FEATURE_EXTRACTOR_NAME, GITHUB_ISSUE_URL } from '../../utils/constants.js';\nimport { getModelJSON } from '../../utils/hub.js';\nimport { FeatureExtractor } from '../../base/feature_extraction_utils.js';\nimport * as AllFeatureExtractors from '../feature_extractors.js';\n\nexport class AutoFeatureExtractor {\n\n /** @type {typeof FeatureExtractor.from_pretrained} */\n static async from_pretrained(pretrained_model_name_or_path, options={}) {\n\n const preprocessorConfig = await getModelJSON(pretrained_model_name_or_path, FEATURE_EXTRACTOR_NAME, true, options);\n\n // Determine feature extractor class\n const key = preprocessorConfig.feature_extractor_type;\n const feature_extractor_class = AllFeatureExtractors[key];\n\n if (!feature_extractor_class) {\n throw new Error(`Unknown feature_extractor_type: '${key}'. Please report this at ${GITHUB_ISSUE_URL}.`);\n }\n\n // Instantiate feature extractor\n return new feature_extractor_class(preprocessorConfig);\n }\n}\n", "\nimport { GITHUB_ISSUE_URL, IMAGE_PROCESSOR_NAME } from '../../utils/constants.js';\nimport { getModelJSON } from '../../utils/hub.js';\nimport { ImageProcessor } from '../../base/image_processors_utils.js';\nimport * as AllImageProcessors from '../image_processors.js';\n\nexport class AutoImageProcessor {\n\n /** @type {typeof ImageProcessor.from_pretrained} */\n static async from_pretrained(pretrained_model_name_or_path, options={}) {\n\n const preprocessorConfig = await getModelJSON(pretrained_model_name_or_path, IMAGE_PROCESSOR_NAME, true, options);\n\n // Determine image processor class\n const key = preprocessorConfig.image_processor_type ?? preprocessorConfig.feature_extractor_type;\n let image_processor_class = AllImageProcessors[key];\n\n if (!image_processor_class) {\n if (key !== undefined) {\n // Only log a warning if the class is not found and the key is set.\n console.warn(`Image processor type '${key}' not found, assuming base ImageProcessor. Please report this at ${GITHUB_ISSUE_URL}.`)\n }\n image_processor_class = ImageProcessor;\n }\n\n // Instantiate image processor\n return new image_processor_class(preprocessorConfig);\n }\n}\n", "\n\nimport { IMAGE_PROCESSOR_NAME } from '../../utils/constants.js';\nimport { getModelJSON } from '../../utils/hub.js';\nimport { Processor } from '../../base/processing_utils.js';\n\nimport * as AllProcessors from '../processors.js';\nimport * as AllImageProcessors from '../image_processors.js';\nimport * as AllFeatureExtractors from '../feature_extractors.js';\n\n/**\n * Helper class which is used to instantiate pretrained processors with the `from_pretrained` function.\n * The chosen processor class is determined by the type specified in the processor config.\n * \n * **Example:** Load a processor using `from_pretrained`.\n * ```javascript\n * let processor = await AutoProcessor.from_pretrained('openai/whisper-tiny.en');\n * ```\n * \n * **Example:** Run an image through a processor.\n * ```javascript\n * let processor = await AutoProcessor.from_pretrained('Xenova/clip-vit-base-patch16');\n * let image = await RawImage.read('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/football-match.jpg');\n * let image_inputs = await processor(image);\n * // {\n * // \"pixel_values\": {\n * // \"dims\": [ 1, 3, 224, 224 ],\n * // \"type\": \"float32\",\n * // \"data\": Float32Array [ -1.558687686920166, -1.558687686920166, -1.5440893173217773, ... ],\n * // \"size\": 150528\n * // },\n * // \"original_sizes\": [\n * // [ 533, 800 ]\n * // ],\n * // \"reshaped_input_sizes\": [\n * // [ 224, 224 ]\n * // ]\n * // }\n * ```\n */\nexport class AutoProcessor {\n\n /** @type {typeof Processor.from_pretrained} */\n static async from_pretrained(pretrained_model_name_or_path, options={}) {\n\n // TODO: first check for processor.json \n const preprocessorConfig = await getModelJSON(pretrained_model_name_or_path, IMAGE_PROCESSOR_NAME, true, options);\n\n const { image_processor_type, feature_extractor_type, processor_class } = preprocessorConfig;\n if (processor_class && AllProcessors[processor_class]) {\n return AllProcessors[processor_class].from_pretrained(pretrained_model_name_or_path, options);\n }\n\n if (!image_processor_type && !feature_extractor_type) {\n throw new Error('No `image_processor_type` or `feature_extractor_type` found in the config.');\n }\n\n const components = {};\n if (image_processor_type) {\n const image_processor_class = AllImageProcessors[image_processor_type];\n if (!image_processor_class) {\n throw new Error(`Unknown image_processor_type: '${image_processor_type}'.`);\n }\n components.image_processor = new image_processor_class(preprocessorConfig);\n }\n\n if (feature_extractor_type) {\n const image_processor_class = AllImageProcessors[feature_extractor_type];\n if (image_processor_class) {\n // Handle legacy case where image processors were specified as feature extractors\n components.image_processor = new image_processor_class(preprocessorConfig);\n } else {\n const feature_extractor_class = AllFeatureExtractors[feature_extractor_type];\n if (!feature_extractor_class) {\n throw new Error(`Unknown feature_extractor_type: '${feature_extractor_type}'.`);\n }\n components.feature_extractor = new feature_extractor_class(preprocessorConfig);\n }\n }\n\n const config = {};\n return new Processor(config, components);\n }\n}\n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\nexport class BeitFeatureExtractor extends ImageProcessor { }\n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\nexport class BitImageProcessor extends ImageProcessor { }\n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\nexport class ChineseCLIPFeatureExtractor extends ImageProcessor { }\n", "import { FeatureExtractor, validate_audio_inputs } from '../../base/feature_extraction_utils.js';\nimport { Tensor } from '../../utils/tensor.js';\nimport { mel_filter_bank, spectrogram, window_function } from '../../utils/audio.js';\n\n\nexport class ClapFeatureExtractor extends FeatureExtractor {\n\n constructor(config) {\n super(config);\n\n this.mel_filters = mel_filter_bank(\n this.config.nb_frequency_bins, // num_frequency_bins\n this.config.feature_size, // num_mel_filters\n this.config.frequency_min, // min_frequency\n this.config.frequency_max, // max_frequency\n this.config.sampling_rate, // sampling_rate\n null, // norm\n \"htk\", // mel_scale\n );\n\n this.mel_filters_slaney = mel_filter_bank(\n this.config.nb_frequency_bins, // num_frequency_bins\n this.config.feature_size, // num_mel_filters\n this.config.frequency_min, // min_frequency\n this.config.frequency_max, // max_frequency\n this.config.sampling_rate, // sampling_rate\n \"slaney\", // norm\n \"slaney\", // mel_scale\n );\n\n this.window = window_function(this.config.fft_window_size, 'hann')\n\n }\n\n\n /**\n * Extracts the mel spectrogram and prepares it for the mode based on the `truncation` and `padding` arguments.\n * \n * Four different path are possible:\n * - `truncation=\"fusion\"` and the length of the waveform is greater than the max length: the mel spectrogram\n * will be computed on the entire audio. 3 random crops and a dowsampled version of the full mel spectrogram\n * are then stacked together. They will later be used for `feature_fusion`.\n * - `truncation=\"rand_trunc\"` and the length of the waveform is smaller than the max length: the audio is\n * padded based on `padding`.\n * - `truncation=\"fusion\"` and the length of the waveform is smaller than the max length: the audio is padded\n * based on `padding`, and is repeated `4` times.\n * - `truncation=\"rand_trunc\"` and the length of the waveform is greater than the max length: the mel\n * spectrogram will be computed on a random crop of the waveform.\n * \n * @param {Float32Array|Float64Array} waveform The input waveform.\n * @param {number} max_length The maximum length of the waveform.\n * @param {string} truncation The truncation strategy to use.\n * @param {string} padding The padding strategy to use.\n * @returns {Promise<Tensor>} An object containing the mel spectrogram data as a Float32Array, its dimensions as an array of numbers, and a boolean indicating whether the waveform was longer than the max length.\n * @private\n */\n async _get_input_mel(waveform, max_length, truncation, padding) {\n\n /** @type {Tensor} */\n let input_mel;\n let longer = false;\n const diff = waveform.length - max_length;\n if (diff > 0) {\n if (truncation === 'rand_trunc') {\n longer = true;\n const idx = Math.floor(Math.random() * (diff + 1));\n waveform = waveform.subarray(idx, idx + max_length);\n\n input_mel = await this._extract_fbank_features(waveform, this.mel_filters_slaney, this.config.nb_max_samples);\n } else {\n // TODO implement fusion strategy\n throw new Error(`Truncation strategy \"${truncation}\" not implemented`)\n }\n } else {\n if (diff < 0) {\n let padded = new Float64Array(max_length); // already padded with zeros\n padded.set(waveform);\n\n if (padding === 'repeat') {\n for (let i = waveform.length; i < max_length; i += waveform.length) {\n padded.set(waveform.subarray(0, Math.min(waveform.length, max_length - i)), i);\n }\n } else if (padding === 'repeatpad') {\n for (let i = waveform.length; i < -diff; i += waveform.length) {\n padded.set(waveform, i);\n }\n }\n waveform = padded;\n }\n\n if (truncation === 'fusion') {\n throw new Error(`Truncation strategy \"${truncation}\" not implemented`)\n }\n\n input_mel = await this._extract_fbank_features(waveform, this.mel_filters_slaney, this.config.nb_max_samples);\n }\n\n return input_mel.unsqueeze_(0);\n }\n\n /**\n * Compute the log-mel spectrogram of the provided `waveform` using the Hann window.\n * In CLAP, two different filter banks are used depending on the truncation pattern:\n * - `self.mel_filters`: they correspond to the default parameters of `torchaudio` which can be obtained from\n * calling `torchaudio.transforms.MelSpectrogram().mel_scale.fb`. These filters are used when `truncation`\n * is set to `\"fusion\"`.\n * - `self.mel_filteres_slaney` : they correspond to the default parameters of `librosa` which used\n * `librosa.filters.mel` when computing the mel spectrogram. These filters were only used in the original\n * implementation when the truncation mode is not `\"fusion\"`.\n * \n * @param {Float32Array|Float64Array} waveform The audio waveform to process.\n * @param {number[][]} mel_filters The mel filters to use.\n * @param {number} [max_length=null] The maximum number of frames to return.\n * @returns {Promise<Tensor>} An object containing the log-Mel spectrogram data as a Float32Array and its dimensions as an array of numbers.\n */\n async _extract_fbank_features(waveform, mel_filters, max_length = null) {\n // NOTE: We don't pad/truncate since that is passed in as `max_num_frames`\n return spectrogram(\n waveform,\n this.window, // window\n this.config.fft_window_size, // frame_length\n this.config.hop_length, // hop_length\n {\n power: 2.0,\n mel_filters,\n log_mel: 'dB',\n\n // Custom\n max_num_frames: max_length,\n do_pad: false,\n transpose: true,\n }\n )\n }\n\n\n /**\n * Asynchronously extracts features from a given audio using the provided configuration.\n * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array.\n * @returns {Promise<{ input_features: Tensor }>} A Promise resolving to an object containing the extracted input features as a Tensor.\n */\n async _call(audio, {\n max_length = null,\n } = {}) {\n validate_audio_inputs(audio, 'ClapFeatureExtractor');\n\n // convert to mel spectrogram, truncate and pad if needed.\n const padded_inputs = await this._get_input_mel(\n audio,\n max_length ?? this.config.nb_max_samples,\n this.config.truncation,\n this.config.padding,\n );\n\n return {\n input_features: padded_inputs.unsqueeze_(0),\n }\n }\n}\n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\nexport class CLIPImageProcessor extends ImageProcessor { }\nexport class CLIPFeatureExtractor extends CLIPImageProcessor { }\n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\nexport class ConvNextImageProcessor extends ImageProcessor {\n constructor(config) {\n super(config);\n\n /**\n * Percentage of the image to crop. Only has an effect if this.size < 384.\n */\n // @ts-expect-error TS2339\n this.crop_pct = this.config.crop_pct ?? (224 / 256);\n }\n\n async resize(image) {\n const shortest_edge = this.size?.shortest_edge;\n if (shortest_edge === undefined) {\n throw new Error(`Size dictionary must contain 'shortest_edge' key.`);\n }\n\n if (shortest_edge < 384) {\n // maintain same ratio, resizing shortest edge to shortest_edge/crop_pct\n const resize_shortest_edge = Math.floor(shortest_edge / this.crop_pct);\n\n const [newWidth, newHeight] = this.get_resize_output_image_size(image, {\n shortest_edge: resize_shortest_edge,\n });\n\n image = await image.resize(newWidth, newHeight, {\n resample: this.resample,\n });\n\n // then crop to (shortest_edge, shortest_edge)\n image = await image.center_crop(shortest_edge, shortest_edge);\n } else {\n // warping (no cropping) when evaluated at 384 or larger\n image = await image.resize(shortest_edge, shortest_edge, {\n resample: this.resample,\n });\n }\n\n return image;\n }\n}\nexport class ConvNextFeatureExtractor extends ConvNextImageProcessor { }\n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\nexport class DeiTImageProcessor extends ImageProcessor { }\nexport class DeiTFeatureExtractor extends DeiTImageProcessor { }", "import { \n ImageProcessor,\n post_process_object_detection,\n post_process_panoptic_segmentation,\n post_process_instance_segmentation,\n} from \"../../base/image_processors_utils.js\";\n\nimport { full } from '../../utils/tensor.js';\n\n\n/**\n * @typedef {object} DetrFeatureExtractorResultProps\n * @property {import('../../utils/tensor.js').Tensor} pixel_mask\n * @typedef {import('../../base/image_processors_utils.js').ImageProcessorResult & DetrFeatureExtractorResultProps} DetrFeatureExtractorResult\n */\n\nexport class DetrImageProcessor extends ImageProcessor {\n /**\n * Calls the feature extraction process on an array of images, preprocesses\n * each image, and concatenates the resulting features into a single Tensor.\n * @param {import('../../utils/image.js').RawImage[]} images The image(s) to extract features from.\n * @returns {Promise<DetrFeatureExtractorResult>} An object containing the concatenated pixel values of the preprocessed images.\n */\n async _call(images) {\n const result = await super._call(images);\n\n // TODO support differently-sized images, for now assume all images are the same size.\n // TODO support different mask sizes (not just 64x64)\n // Currently, just fill pixel mask with 1s\n const maskSize = [result.pixel_values.dims[0], 64, 64];\n const pixel_mask = full(maskSize, 1n);\n\n return { ...result, pixel_mask };\n }\n\n /** @type {typeof post_process_object_detection} */\n post_process_object_detection(...args) {\n return post_process_object_detection(...args);\n }\n\n /** @type {typeof post_process_panoptic_segmentation} */\n post_process_panoptic_segmentation(...args) {\n return post_process_panoptic_segmentation(...args);\n }\n\n /** @type {typeof post_process_instance_segmentation} */\n post_process_instance_segmentation(...args) {\n return post_process_instance_segmentation(...args);\n }\n}\n\nexport class DetrFeatureExtractor extends DetrImageProcessor { } // NOTE: extends DetrImageProcessor \n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\nexport class DonutImageProcessor extends ImageProcessor {\n pad_image(pixelData, imgDims, padSize, options = {}) {\n const [imageHeight, imageWidth, imageChannels] = imgDims;\n\n let image_mean = this.image_mean;\n if (!Array.isArray(this.image_mean)) {\n image_mean = new Array(imageChannels).fill(image_mean);\n }\n\n let image_std = this.image_std;\n if (!Array.isArray(image_std)) {\n image_std = new Array(imageChannels).fill(image_mean);\n }\n\n const constant_values = image_mean.map((x, i) => - x / image_std[i]);\n\n return super.pad_image(pixelData, imgDims, padSize, {\n center: true,\n\n // Since normalization is done after padding, we need to use certain constant values to ensure the same behaviour is observed.\n // For more information, see https://github.com/huggingface/transformers/blob/main/src/transformers/models/donut/image_processing_donut.py#L433-L451\n constant_values,\n ...options,\n });\n }\n}\nexport class DonutFeatureExtractor extends DonutImageProcessor { }\n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\nexport class DPTImageProcessor extends ImageProcessor { }\nexport class DPTFeatureExtractor extends DPTImageProcessor { } // NOTE: extends DPTImageProcessor\n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\nexport class EfficientNetImageProcessor extends ImageProcessor {\n constructor(config) {\n super(config);\n // @ts-expect-error TS2339\n this.include_top = this.config.include_top ?? true;\n if (this.include_top) {\n this.image_std = this.image_std.map(x => x * x);\n }\n }\n}\n", "\nexport * from './audio_spectrogram_transformer/feature_extraction_audio_spectrogram_transformer.js';\nexport * from './clap/feature_extraction_clap.js';\nexport * from './moonshine/feature_extraction_moonshine.js';\nexport * from './pyannote/feature_extraction_pyannote.js';\nexport * from './seamless_m4t/feature_extraction_seamless_m4t.js';\nexport * from './speecht5/feature_extraction_speecht5.js';\nexport * from './wav2vec2/feature_extraction_wav2vec2.js';\nexport * from './wespeaker/feature_extraction_wespeaker.js';\nexport * from './whisper/feature_extraction_whisper.js';\n\n// For legacy support, ImageFeatureExtractor is an alias for ImageProcessor\nexport { ImageProcessor as ImageFeatureExtractor } from \"../base/image_processors_utils.js\";\n", "import { Processor } from \"../../base/processing_utils.js\";\nimport { AutoImageProcessor } from \"../auto/image_processing_auto.js\";\nimport { AutoTokenizer } from \"../../tokenizers.js\";\n\nexport class Florence2Processor extends Processor {\n static tokenizer_class = AutoTokenizer\n static image_processor_class = AutoImageProcessor\n\n constructor(config, components) {\n super(config, components);\n\n const {\n // @ts-expect-error TS2339\n tasks_answer_post_processing_type,\n // @ts-expect-error TS2339\n task_prompts_without_inputs,\n // @ts-expect-error TS2339\n task_prompts_with_input,\n } = this.image_processor.config;\n\n /** @type {Map<string, string>} */\n this.tasks_answer_post_processing_type = new Map(Object.entries(tasks_answer_post_processing_type ?? {}));\n\n /** @type {Map<string, string>} */\n this.task_prompts_without_inputs = new Map(Object.entries(task_prompts_without_inputs ?? {}));\n\n /** @type {Map<string, string>} */\n this.task_prompts_with_input = new Map(Object.entries(task_prompts_with_input ?? {}));\n\n this.regexes = {\n quad_boxes: /(.+?)<loc_(\\d+)><loc_(\\d+)><loc_(\\d+)><loc_(\\d+)><loc_(\\d+)><loc_(\\d+)><loc_(\\d+)><loc_(\\d+)>/gm,\n bboxes: /([^<]+)?<loc_(\\d+)><loc_(\\d+)><loc_(\\d+)><loc_(\\d+)>/gm,\n }\n this.size_per_bin = 1000;\n }\n\n /**\n * Helper function to construct prompts from input texts\n * @param {string|string[]} text\n * @returns {string[]}\n */\n construct_prompts(text) {\n if (typeof text === 'string') {\n text = [text];\n }\n\n const prompts = [];\n for (const t of text) {\n // 1. fixed task prompts without additional inputs\n if (this.task_prompts_without_inputs.has(t)) {\n prompts.push(this.task_prompts_without_inputs.get(t));\n }\n // 2. task prompts with additional inputs \n else {\n for (const [task, prompt] of this.task_prompts_with_input) {\n if (t.includes(task)) {\n prompts.push(prompt.replaceAll('{input}', t).replaceAll(task, ''));\n break;\n }\n }\n\n // 3. default prompt\n if (prompts.length !== text.length) {\n prompts.push(t);\n }\n }\n }\n return prompts;\n }\n\n /**\n * Post-process the output of the model to each of the task outputs.\n * @param {string} text The text to post-process.\n * @param {string} task The task to post-process the text for.\n * @param {[number, number]} image_size The size of the image. height x width.\n */\n post_process_generation(text, task, image_size) {\n const task_answer_post_processing_type = this.tasks_answer_post_processing_type.get(task) ?? 'pure_text';\n\n // remove the special tokens\n text = text.replaceAll('<s>', '').replaceAll('</s>', '');\n\n let final_answer;\n switch (task_answer_post_processing_type) {\n case 'pure_text':\n final_answer = text;\n break;\n\n case 'description_with_bboxes':\n case 'bboxes':\n case 'phrase_grounding':\n case 'ocr':\n const key = task_answer_post_processing_type === 'ocr' ? 'quad_boxes' : 'bboxes';\n const matches = text.matchAll(this.regexes[key]);\n const labels = [];\n const items = [];\n for (const [_, label, ...locations] of matches) {\n // Push new label, or duplicate the last label\n labels.push(label ? label.trim() : labels.at(-1) ?? '');\n items.push(locations.map((x, i) =>\n // NOTE: Add 0.5 to use the center position of the bin as the coordinate.\n (Number(x) + 0.5) / this.size_per_bin * image_size[i % 2])\n );\n }\n final_answer = { labels, [key]: items };\n break;\n\n default:\n throw new Error(`Task \"${task}\" (of type \"${task_answer_post_processing_type}\") not yet implemented.`);\n }\n\n return { [task]: final_answer }\n }\n\n // NOTE: images and text are switched from the python version\n // `images` is required, `text` is optional\n async _call(images, text=null, kwargs = {}) {\n\n if (!images && !text){\n throw new Error('Either text or images must be provided');\n }\n\n const image_inputs = await this.image_processor(images, kwargs);\n const text_inputs = text ? this.tokenizer(text, kwargs) : {};\n\n return {\n ...image_inputs,\n ...text_inputs,\n }\n }\n}\n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\nexport class GLPNFeatureExtractor extends ImageProcessor { }\n", "\nimport { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\nimport { ones } from '../../utils/tensor.js';\n\n\n/**\n * @typedef {object} GroundingDinoFeatureExtractorResultProps\n * @property {import('../../utils/tensor.js').Tensor} pixel_mask\n * @typedef {import('../../base/image_processors_utils.js').ImageProcessorResult & GroundingDinoFeatureExtractorResultProps} GroundingDinoFeatureExtractorResult\n */\n\nexport class GroundingDinoImageProcessor extends ImageProcessor {\n /**\n * Calls the feature extraction process on an array of images, preprocesses\n * each image, and concatenates the resulting features into a single Tensor.\n * @param {import('../../utils/image.js').RawImage[]} images The image(s) to extract features from.\n * @returns {Promise<GroundingDinoFeatureExtractorResult>} An object containing the concatenated pixel values of the preprocessed images.\n */\n async _call(images) {\n const result = await super._call(images);\n\n const dims = result.pixel_values.dims;\n const pixel_mask = ones([dims[0], dims[2], dims[3]]);\n\n return { ...result, pixel_mask };\n }\n}\n", "import { Processor } from \"../../base/processing_utils.js\";\nimport { AutoImageProcessor } from \"../auto/image_processing_auto.js\";\nimport { AutoTokenizer } from \"../../tokenizers.js\";\nimport { center_to_corners_format } from \"../../base/image_processors_utils.js\";\n\n/**\n * Get token ids of phrases from posmaps and input_ids.\n * @param {import('../../utils/tensor.js').Tensor} posmaps A boolean tensor of unbatched text-thresholded logits related to the detected bounding boxes of shape `(hidden_size, )`.\n * @param {import('../../utils/tensor.js').Tensor} input_ids A tensor of token ids of shape `(sequence_length, )`.\n */\nfunction get_phrases_from_posmap(posmaps, input_ids) {\n\n const left_idx = 0;\n const right_idx = posmaps.dims.at(-1) - 1;\n\n const posmaps_list = posmaps.tolist();\n posmaps_list.fill(false, 0, left_idx + 1);\n posmaps_list.fill(false, right_idx);\n\n const input_ids_list = input_ids.tolist();\n return posmaps_list\n .map((val, idx) => val ? idx : null)\n .filter(idx => idx !== null)\n .map(i => input_ids_list[i]);\n}\n\nexport class GroundingDinoProcessor extends Processor {\n static tokenizer_class = AutoTokenizer\n static image_processor_class = AutoImageProcessor\n\n /**\n * @typedef {import('../../utils/image.js').RawImage} RawImage\n */\n /**\n * \n * @param {RawImage|RawImage[]|RawImage[][]} images \n * @param {string|string[]} text \n * @returns {Promise<any>}\n */\n async _call(images, text, options = {}) {\n\n const image_inputs = images ? await this.image_processor(images, options) : {};\n const text_inputs = text ? this.tokenizer(text, options) : {};\n\n return {\n ...text_inputs,\n ...image_inputs,\n }\n }\n post_process_grounded_object_detection(outputs, input_ids, {\n box_threshold = 0.25,\n text_threshold = 0.25,\n target_sizes = null\n } = {}) {\n const { logits, pred_boxes } = outputs;\n const batch_size = logits.dims[0];\n\n if (target_sizes !== null && target_sizes.length !== batch_size) {\n throw Error(\"Make sure that you pass in as many target sizes as the batch dimension of the logits\")\n }\n const num_queries = logits.dims.at(1);\n\n const probs = logits.sigmoid(); // (batch_size, num_queries, 256)\n const scores = probs.max(-1).tolist(); // (batch_size, num_queries)\n\n // Convert to [x0, y0, x1, y1] format\n const boxes = pred_boxes.tolist() // (batch_size, num_queries, 4)\n .map(batch => batch.map(box => center_to_corners_format(box)));\n\n const results = [];\n for (let i = 0; i < batch_size; ++i) {\n const target_size = target_sizes !== null ? target_sizes[i] : null;\n\n // Convert from relative [0, 1] to absolute [0, height] coordinates\n if (target_size !== null) {\n boxes[i] = boxes[i].map(box => box.map((x, j) => x * target_size[(j + 1) % 2]));\n }\n\n const batch_scores = scores[i];\n const final_scores = [];\n const final_phrases = [];\n const final_boxes = [];\n for (let j = 0; j < num_queries; ++j) {\n const score = batch_scores[j];\n if (score <= box_threshold) {\n continue;\n }\n const box = boxes[i][j];\n const prob = probs[i][j];\n\n final_scores.push(score);\n final_boxes.push(box);\n\n const phrases = get_phrases_from_posmap(prob.gt(text_threshold), input_ids[i]);\n final_phrases.push(phrases);\n }\n results.push({ scores: final_scores, boxes: final_boxes, labels: this.batch_decode(final_phrases) });\n }\n return results;\n }\n}\n", "\n\nimport {\n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\nimport { cat, full, interpolate_4d, slice, stack } from \"../../utils/tensor.js\";\n\nexport class Idefics3ImageProcessor extends ImageProcessor {\n constructor(config) {\n super(config);\n\n this.do_image_splitting = config.do_image_splitting ?? true;\n this.max_image_size = config.max_image_size;\n }\n\n /**\n * @typedef {import('../../utils/image.js').RawImage} RawImage\n * @typedef {import('../../utils/tensor.js').Tensor} Tensor\n */\n\n /**\n * Calculate size to resize images to, to be multiples of `vision_encoder_max_size` while preserving the aspect ratio.\n * @param {Tensor} pixel_values Tensor of the image to resize.\n * @param {number} vision_encoder_max_size Maximum size of the output image. If the image is larger than this size,\n * it will be split into patches of this size, and the original image will be concatenated with the patches, resized to max_size.\n */\n get_resize_for_vision_encoder(pixel_values, vision_encoder_max_size) {\n let [height, width] = pixel_values.dims.slice(-2);\n\n const aspect_ratio = width / height;\n if (width >= height) {\n width = Math.ceil(width / vision_encoder_max_size) * vision_encoder_max_size;\n height = Math.floor(width / aspect_ratio);\n height = Math.ceil(height / vision_encoder_max_size) * vision_encoder_max_size;\n } else {\n height = Math.ceil(height / vision_encoder_max_size) * vision_encoder_max_size;\n width = Math.floor(height * aspect_ratio);\n width = Math.ceil(width / vision_encoder_max_size) * vision_encoder_max_size;\n }\n return { height, width };\n }\n\n /** @param {RawImage|RawImage[]|RawImage[][]} images */\n async _call(images, {\n do_image_splitting = null,\n return_row_col_info = false,\n } = {}) {\n\n /** @type {RawImage[][]} */\n let batched_2d_images;\n if (!Array.isArray(images)) {\n batched_2d_images = [[images]];\n } else {\n if (images.length === 0 || !images[0]) {\n throw new Error(\"No images provided.\");\n }\n if (!Array.isArray(images[0])) {\n batched_2d_images = [/** @type {RawImage[]} */(images)];\n } else {\n batched_2d_images = /** @type {RawImage[][]} */(images);\n }\n }\n\n // List of tensors, each with shape [patches, channels, height, width]\n let all_pixel_values = [];\n let images_list_rows = [];\n let images_list_cols = [];\n\n const original_sizes = [];\n const reshaped_input_sizes = [];\n for (const image_batch of batched_2d_images) {\n\n let images_list = await Promise.all(image_batch.map(x => this.preprocess(x)));\n\n // Original sizes of images\n original_sizes.push(...images_list.map(x => x.original_size));\n\n // Reshaped sizes of images, before padding or cropping\n reshaped_input_sizes.push(...images_list.map(x => x.reshaped_input_size));\n\n // Convert images to 4D tensors for easier processing\n images_list.forEach(x => x.pixel_values.unsqueeze_(0));\n\n const { longest_edge } = this.max_image_size;\n\n /** @type {Tensor[]} */\n let images_tensor;\n if (do_image_splitting ?? this.do_image_splitting) {\n let image_rows = new Array(images_list.length);\n let image_cols = new Array(images_list.length);\n\n // We first resize both height and width of each image to the nearest max_image_size multiple, disregarding the aspect ratio\n images_tensor = await Promise.all(images_list.map(async (x, i) => {\n const new_size = this.get_resize_for_vision_encoder(x.pixel_values, longest_edge);\n\n const resized = await interpolate_4d(x.pixel_values, {\n size: [new_size.height, new_size.width],\n });\n\n const { frames, num_splits_h, num_splits_w } = await this.split_image(resized, this.max_image_size);\n image_rows[i] = num_splits_h;\n image_cols[i] = num_splits_w;\n return cat(frames, 0);\n }));\n\n images_list_rows.push(image_rows);\n images_list_cols.push(image_cols);\n\n } else {\n /** @type {[number, number]} */\n const size = [longest_edge, longest_edge];\n images_tensor = await Promise.all(\n images_list.map(x => interpolate_4d(x.pixel_values, { size }))\n );\n\n images_list_rows.push(new Array(images_list.length).fill(0));\n images_list_cols.push(new Array(images_list.length).fill(0));\n }\n\n all_pixel_values.push(cat(images_tensor, 0));\n }\n\n const batch_size = all_pixel_values.length;\n const [n, c, h, w] = all_pixel_values[0].dims;\n\n // Stack pixel values\n let pixel_values;\n let pixel_attention_mask;\n if (batch_size === 1) {\n pixel_values = all_pixel_values[0].unsqueeze_(0);\n pixel_attention_mask = full([batch_size, n, h, w], true);\n } else {\n // Add padding (if necessary) to images with less patches than the maximum number of patches\n const max_num_patches = Math.max(...all_pixel_values.map(x => x.dims.at(0)));\n\n pixel_attention_mask = full([batch_size, max_num_patches, h, w], true);\n const pixel_attention_mask_data = pixel_attention_mask.data;\n const pixel_attention_mask_stride = max_num_patches * h * w;\n for (let i = 0; i < batch_size; ++i) {\n const num_patches = all_pixel_values[i].dims[0];\n if (num_patches < max_num_patches) {\n all_pixel_values[i] = cat([\n all_pixel_values[i],\n full([max_num_patches - num_patches, c, h, w], 0),\n ], 0);\n\n const start_offset = i * pixel_attention_mask_stride + num_patches * h * w;\n const end_offset = (i + 1) * pixel_attention_mask_stride;\n\n // @ts-expect-error\n pixel_attention_mask_data.fill(false, start_offset, end_offset);\n }\n }\n pixel_values = stack(all_pixel_values, 0);\n }\n\n return {\n pixel_values,\n pixel_attention_mask,\n\n original_sizes,\n reshaped_input_sizes,\n ...(\n return_row_col_info\n ? { rows: images_list_rows, cols: images_list_cols }\n : {}\n ),\n }\n }\n\n async split_image(pixel_values, { longest_edge }) {\n const max_height = longest_edge;\n const max_width = longest_edge;\n\n const frames = [];\n\n const [height, width] = pixel_values.dims.slice(-2);\n\n let num_splits_h = 0, num_splits_w = 0;\n\n if (height > max_height || width > max_width) {\n // Calculate the number of splits\n num_splits_h = Math.ceil(height / max_height);\n num_splits_w = Math.ceil(width / max_width);\n\n // Calculate the optimal width and height for the sub-images\n const optimal_height = Math.ceil(height / num_splits_h);\n const optimal_width = Math.ceil(width / num_splits_w);\n\n // Iterate through each row and column\n for (let r = 0; r < num_splits_h; ++r) {\n for (let c = 0; c < num_splits_w; ++c) {\n let start_x, start_y, end_x, end_y;\n if (r === num_splits_h - 1) { // At bottom\n start_y = height - optimal_height;\n end_y = height;\n } else {\n start_y = r * optimal_height;\n end_y = (r + 1) * optimal_height;\n }\n if (c === num_splits_w - 1) { // At right\n start_x = width - optimal_width;\n end_x = width;\n } else {\n start_x = c * optimal_width;\n end_x = (c + 1) * optimal_width;\n }\n\n const starts = [start_y, start_x];\n const ends = [end_y, end_x];\n\n const patch = await slice(pixel_values, starts, ends, [2, 3]);\n frames.push(patch);\n }\n }\n\n // Resize the global image to match max dimensions for memory efficiency\n const global_image_height = max_height;\n const global_image_width = max_width;\n\n if (height !== global_image_height || width !== global_image_width) {\n pixel_values = await interpolate_4d(pixel_values, {\n size: [global_image_height, global_image_width],\n })\n }\n }\n\n frames.push(pixel_values);\n\n return { frames, num_splits_h, num_splits_w };\n }\n}\n", "\nimport { Processor } from \"../../base/processing_utils.js\";\nimport { AutoImageProcessor } from \"../auto/image_processing_auto.js\";\nimport { AutoTokenizer } from \"../../tokenizers.js\";\nimport { RawImage } from \"../../utils/image.js\";\nimport { count } from \"../../utils/core.js\";\n\n/**\n * Prompt with expanded image tokens for when the image is split into patches.\n * @private\n */\nfunction _prompt_split_image(image_seq_len, image_rows, image_cols, fake_token_around_image, image_token, global_img_token) {\n let text_split_images = \"\";\n for (let n_h = 0; n_h < image_rows; ++n_h) {\n for (let n_w = 0; n_w < image_cols; ++n_w) {\n text_split_images += (\n fake_token_around_image +\n `<row_${n_h + 1}_col_${n_w + 1}>` +\n image_token.repeat(image_seq_len)\n );\n }\n text_split_images += \"\\n\";\n }\n\n text_split_images += (\n `\\n${fake_token_around_image}` +\n `${global_img_token}` +\n image_token.repeat(image_seq_len) +\n `${fake_token_around_image}`\n );\n return text_split_images;\n}\n\n/**\n * Prompt with expanded image tokens for a single image.\n * @private\n */\nfunction _prompt_single_image(image_seq_len, fake_token_around_image, image_token, global_img_token) {\n return (\n `${fake_token_around_image}` +\n `${global_img_token}` +\n image_token.repeat(image_seq_len) +\n `${fake_token_around_image}`\n );\n}\n\nfunction get_image_prompt_string(image_rows, image_cols, image_seq_len, fake_token_around_image, image_token, global_img_token) {\n if (image_rows === 0 && image_cols === 0) {\n return _prompt_single_image(\n image_seq_len,\n fake_token_around_image,\n image_token,\n global_img_token\n );\n }\n return _prompt_split_image(\n image_seq_len, image_rows, image_cols, fake_token_around_image, image_token, global_img_token\n );\n}\n\n\nexport class Idefics3Processor extends Processor {\n static image_processor_class = AutoImageProcessor\n static tokenizer_class = AutoTokenizer\n static uses_processor_config = true;\n\n fake_image_token = \"<fake_token_around_image>\";\n image_token = \"<image>\";\n global_img_token = \"<global-img>\";\n\n /**\n * \n * @param {string|string[]} text \n * @param {RawImage|RawImage[]|RawImage[][]} images \n * @returns {Promise<any>}\n */\n async _call(text, images = null, options = {}) {\n options.return_row_col_info ??= true;\n\n let image_inputs;\n\n if (images) {\n image_inputs = await this.image_processor(images, options);\n }\n\n // NOTE: We assume text is present\n if (!Array.isArray(text)) {\n text = [text];\n }\n\n const image_rows = image_inputs.rows ?? [new Array(text.length).fill(0)];\n const image_cols = image_inputs.cols ?? [new Array(text.length).fill(0)];\n\n const image_seq_len = this.config.image_seq_len;\n const n_images_in_text = []\n const prompt_strings = [];\n for (let i = 0; i < text.length; ++i) {\n const sample = text[i];\n const sample_rows = image_rows[i];\n const sample_cols = image_cols[i];\n\n n_images_in_text.push(count(sample, this.image_token));\n\n // Replace the image token with fake tokens around the expanded image token sequence of length `image_seq_len`\n const image_prompt_strings = sample_rows.map(\n (n_rows, j) => get_image_prompt_string(\n n_rows,\n sample_cols[j],\n image_seq_len,\n this.fake_image_token,\n this.image_token,\n this.global_img_token,\n )\n );\n\n const split_sample = sample.split(this.image_token);\n if (split_sample.length === 0) {\n throw new Error(\"The image token should be present in the text.\");\n }\n\n // Place in the image prompt strings where the image tokens are\n let new_sample = split_sample[0];\n for (let j = 0; j < image_prompt_strings.length; ++j) {\n new_sample += image_prompt_strings[j] + split_sample[j + 1];\n }\n prompt_strings.push(new_sample);\n }\n\n const text_inputs = this.tokenizer(prompt_strings);\n\n return {\n ...text_inputs,\n ...image_inputs,\n }\n }\n}\n", "\nexport * from './beit/image_processing_beit.js'\nexport * from './bit/image_processing_bit.js'\nexport * from './chinese_clip/image_processing_chinese_clip.js'\nexport * from './clip/image_processing_clip.js'\nexport * from './convnext/image_processing_convnext.js'\nexport * from './deit/image_processing_deit.js'\nexport * from './detr/image_processing_detr.js'\nexport * from './donut/image_processing_donut.js'\nexport * from './dpt/image_processing_dpt.js'\nexport * from './efficientnet/image_processing_efficientnet.js'\nexport * from './glpn/image_processing_glpn.js'\nexport * from './grounding_dino/image_processing_grounding_dino.js'\nexport * from './idefics3/image_processing_idefics3.js'\nexport * from './janus/image_processing_janus.js'\nexport * from './jina_clip/image_processing_jina_clip.js'\nexport * from './llava_onevision/image_processing_llava_onevision.js'\nexport * from './mask2former/image_processing_mask2former.js'\nexport * from './maskformer/image_processing_maskformer.js'\nexport * from './mobilenet_v1/image_processing_mobilenet_v1.js'\nexport * from './mobilenet_v2/image_processing_mobilenet_v2.js'\nexport * from './mobilenet_v3/image_processing_mobilenet_v3.js'\nexport * from './mobilenet_v4/image_processing_mobilenet_v4.js'\nexport * from './mobilevit/image_processing_mobilevit.js'\nexport * from './nougat/image_processing_nougat.js'\nexport * from './owlv2/image_processing_owlv2.js'\nexport * from './owlvit/image_processing_owlvit.js'\nexport * from './phi3_v/image_processing_phi3_v.js'\nexport * from './pvt/image_processing_pvt.js'\nexport * from './qwen2_vl/image_processing_qwen2_vl.js'\nexport * from './rt_detr/image_processing_rt_detr.js'\nexport * from './sam/image_processing_sam.js'\nexport * from './segformer/image_processing_segformer.js'\nexport * from './siglip/image_processing_siglip.js'\nexport * from './swin2sr/image_processing_swin2sr.js'\nexport * from './vit/image_processing_vit.js'\nexport * from './vitmatte/image_processing_vitmatte.js'\nexport * from './vitpose/image_processing_vitpose.js'\nexport * from './yolos/image_processing_yolos.js'\n", "\nimport {\n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\nexport class VLMImageProcessor extends ImageProcessor {\n constructor(config) {\n super({\n do_pad: true,\n pad_size: {\n width: config.image_size,\n height: config.image_size,\n },\n ...config,\n });\n // @ts-expect-error TS2339\n this.constant_values = this.config.background_color.map(x => x * this.rescale_factor)\n }\n\n pad_image(pixelData, imgDims, padSize, options) {\n return super.pad_image(pixelData, imgDims, padSize, {\n constant_values: this.constant_values,\n center: true,\n ...options,\n });\n }\n}\n", "\nimport { Processor } from \"../../base/processing_utils.js\";\nimport { AutoImageProcessor } from \"../auto/image_processing_auto.js\";\nimport { AutoTokenizer } from \"../../tokenizers.js\";\nimport { mergeArrays } from \"../../utils/core.js\";\nimport { Tensor } from \"../../utils/tensor.js\";\nimport { RawImage } from \"../../utils/image.js\";\n\nexport class VLChatProcessor extends Processor {\n static image_processor_class = AutoImageProcessor\n static tokenizer_class = AutoTokenizer\n static uses_processor_config = true;\n\n constructor(config, components) {\n super(config, components);\n\n this.image_tag = this.config.image_tag;\n this.image_start_tag = this.config.image_start_tag;\n this.image_end_tag = this.config.image_end_tag;\n this.num_image_tokens = this.config.num_image_tokens;\n }\n\n /**\n * @typedef {Object} MultimodalMessageProperties Additional properties for multimodal messages.\n * @property {(RawImage | string | URL)[]} [images] The images in the message.\n * @typedef {(import('../../tokenizers.js').Message & MultimodalMessageProperties)[]} MultimodalConversation The conversation possibly containing multimodal inputs.\n */\n\n /**\n * @typedef {Object} VLCChatProcessorResult The processed input.\n * @property {Tensor} input_ids The input IDs.\n * @property {Tensor} attention_mask The attention mask.\n * @property {Tensor} images_seq_mask The image sequence mask.\n * @property {Tensor} images_emb_mask The image embedding mask.\n */\n\n /**\n * @param {MultimodalConversation} conversation The chat messages to process.\n * @param {Object} options Additional options for processing.\n * @param {RawImage|RawImage[]} [options.images] The images to process, if not set in the conversation.\n * @param {string} [options.chat_template=\"default\"] The chat template to use.\n * @returns {Promise<VLCChatProcessorResult | VLCChatProcessorResult & import('../../base/image_processors_utils.js').ImageProcessorResult>} The processed input.\n */\n async _call(conversation, {\n images = null,\n chat_template = \"default\",\n }={}) {\n if (!images) {\n images = await Promise.all(\n conversation\n .filter((msg) => msg.images)\n .flatMap((msg) => msg.images)\n .map((img) => RawImage.read(img))\n );\n } else if (!Array.isArray(images)) {\n images = [images];\n }\n\n const tokenizer = this.tokenizer;\n const result = tokenizer.apply_chat_template(conversation, {\n tokenize: false,\n add_generation_prompt: true,\n chat_template,\n });\n\n const encode = (text) => tokenizer.encode(text, { add_special_tokens: false });\n const parts = (/** @type {string} */(result))\n .split(this.image_tag);\n const num_images = parts.length - 1;\n if (images.length !== num_images) {\n throw new Error(`Number of images provided (${images.length}) does not match number of \"${this.image_tag}\" image tags (${num_images})`);\n }\n\n const [\n image_placeholder_tag_id,\n image_start_tag_id,\n image_end_tag_id,\n ] = tokenizer.model.convert_tokens_to_ids([\n this.image_tag,\n this.image_start_tag,\n this.image_end_tag,\n ]);\n\n let input_ids = encode(parts[0]);\n let images_seq_mask = new Array(input_ids.length).fill(false);\n for (let i = 1; i < parts.length; ++i) {\n const placeholder_image_tokens = new Array(this.num_image_tokens).fill(image_placeholder_tag_id);\n const tokens = encode(parts[i]);\n input_ids = mergeArrays(\n input_ids,\n [image_start_tag_id], placeholder_image_tokens, [image_end_tag_id],\n tokens,\n );\n const image_mask = new Array(this.num_image_tokens).fill(true);\n images_seq_mask = mergeArrays(\n images_seq_mask,\n [false], image_mask, [false],\n new Array(tokens.length).fill(false),\n );\n }\n\n const dims = [1, input_ids.length];\n const final = {\n input_ids: new Tensor('int64', input_ids, dims),\n attention_mask: new Tensor('int64', new Array(input_ids.length).fill(1), dims),\n images_seq_mask: new Tensor('bool', images_seq_mask, dims),\n images_emb_mask: new Tensor(\n 'bool',\n new Array(num_images * this.num_image_tokens).fill(true),\n [1, num_images, this.num_image_tokens],\n ),\n }\n\n if (images && images.length > 0) {\n const image_inputs = await this.image_processor(images);\n // Set the batch_size dimension to 1\n image_inputs.pixel_values.unsqueeze_(0);\n return { ...final, ...image_inputs };\n }\n\n return final;\n }\n}\n", "import {\n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\nexport class JinaCLIPImageProcessor extends ImageProcessor {\n constructor(config) {\n // JinaCLIPImageProcessor uses a custom preprocessor_config.json, so we configure it here\n const { resize_mode, fill_color, interpolation, size, ...other } = config;\n\n const new_size = resize_mode === 'squash'\n ? { width: size, height: size }\n : resize_mode === 'shortest'\n ? { shortest_edge: size }\n : { longest_edge: size };\n\n const resample = interpolation === 'bicubic' ? 3 : 2;\n super({\n ...other,\n size: new_size,\n resample,\n do_center_crop: true,\n crop_size: size,\n do_normalize: true,\n });\n }\n}\n", "\nimport { Processor } from \"../../base/processing_utils.js\";\nimport { AutoImageProcessor } from \"../auto/image_processing_auto.js\";\nimport { AutoTokenizer } from \"../../tokenizers.js\";\n\nexport class JinaCLIPProcessor extends Processor {\n static tokenizer_class = AutoTokenizer\n static image_processor_class = AutoImageProcessor\n\n async _call(text=null, images=null, kwargs = {}) {\n\n if (!text && !images){\n throw new Error('Either text or images must be provided');\n }\n\n const text_inputs = text ? this.tokenizer(text, kwargs) : {};\n const image_inputs = images ? await this.image_processor(images, kwargs) : {};\n\n return {\n ...text_inputs,\n ...image_inputs,\n }\n }\n}\n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\nexport class LlavaOnevisionImageProcessor extends ImageProcessor {}\n", "\nimport { MaskFormerImageProcessor } from \"../maskformer/image_processing_maskformer.js\";\n\n// NOTE: extends MaskFormerImageProcessor\nexport class Mask2FormerImageProcessor extends MaskFormerImageProcessor { }\n", "import { \n ImageProcessor,\n post_process_panoptic_segmentation,\n post_process_instance_segmentation,\n} from \"../../base/image_processors_utils.js\";\n\nexport class MaskFormerImageProcessor extends ImageProcessor {\n\n /** @type {typeof post_process_panoptic_segmentation} */\n post_process_panoptic_segmentation(...args) {\n return post_process_panoptic_segmentation(...args);\n }\n /** @type {typeof post_process_instance_segmentation} */\n post_process_instance_segmentation(...args) {\n return post_process_instance_segmentation(...args);\n }\n}\nexport class MaskFormerFeatureExtractor extends MaskFormerImageProcessor { }\n", "import { Processor } from \"../../base/processing_utils.js\";\nimport { AutoImageProcessor } from \"../auto/image_processing_auto.js\";\nimport { AutoTokenizer } from \"../../tokenizers.js\";\nimport { max, softmax } from \"../../utils/maths.js\";\n\nconst DECODE_TYPE_MAPPING = {\n 'char': ['char_decode', 1],\n 'bpe': ['bpe_decode', 2],\n 'wp': ['wp_decode', 102],\n}\nexport class MgpstrProcessor extends Processor {\n static tokenizer_class = AutoTokenizer\n static image_processor_class = AutoImageProcessor\n\n /**\n * @returns {import('../../tokenizers.js').MgpstrTokenizer} The character tokenizer.\n */\n get char_tokenizer() {\n return this.components.char_tokenizer;\n }\n\n /**\n * @returns {import('../../tokenizers.js').GPT2Tokenizer} The BPE tokenizer.\n */\n get bpe_tokenizer() {\n return this.components.bpe_tokenizer;\n }\n\n /**\n * @returns {import('../../tokenizers.js').BertTokenizer} The WordPiece tokenizer.\n */\n get wp_tokenizer() {\n return this.components.wp_tokenizer;\n }\n\n /**\n * Helper function to decode the model prediction logits.\n * @param {import('../../utils/tensor.js').Tensor} pred_logits Model prediction logits.\n * @param {string} format Type of model prediction. Must be one of ['char', 'bpe', 'wp'].\n * @returns {[string[], number[]]} The decoded sentences and their confidence scores.\n */\n _decode_helper(pred_logits, format) {\n if (!DECODE_TYPE_MAPPING.hasOwnProperty(format)) {\n throw new Error(`Format ${format} is not supported.`);\n }\n\n const [decoder_name, eos_token] = DECODE_TYPE_MAPPING[format];\n const decoder = this[decoder_name].bind(this);\n\n const [batch_size, batch_max_length] = pred_logits.dims;\n const conf_scores = [];\n const all_ids = [];\n\n /** @type {number[][][]} */\n const pred_logits_list = pred_logits.tolist();\n for (let i = 0; i < batch_size; ++i) {\n const logits = pred_logits_list[i];\n const ids = [];\n const scores = [];\n\n // Start and index=1 to skip the first token\n for (let j = 1; j < batch_max_length; ++j) {\n // NOTE: == to match bigint and number\n const [max_prob, max_prob_index] = max(softmax(logits[j]));\n scores.push(max_prob);\n if (max_prob_index == eos_token) {\n break;\n }\n ids.push(max_prob_index);\n }\n\n const confidence_score = scores.length > 0\n ? scores.reduce((a, b) => a * b, 1)\n : 0;\n\n all_ids.push(ids);\n conf_scores.push(confidence_score);\n }\n\n const decoded = decoder(all_ids);\n return [decoded, conf_scores];\n }\n\n /**\n * Convert a list of lists of char token ids into a list of strings by calling char tokenizer.\n * @param {number[][]} sequences List of tokenized input ids.\n * @returns {string[]} The list of char decoded sentences.\n */\n char_decode(sequences) {\n return this.char_tokenizer.batch_decode(sequences).map(str => str.replaceAll(' ', ''));\n }\n\n /**\n * Convert a list of lists of BPE token ids into a list of strings by calling BPE tokenizer.\n * @param {number[][]} sequences List of tokenized input ids.\n * @returns {string[]} The list of BPE decoded sentences.\n */\n bpe_decode(sequences) {\n return this.bpe_tokenizer.batch_decode(sequences)\n }\n\n /**\n * Convert a list of lists of word piece token ids into a list of strings by calling word piece tokenizer.\n * @param {number[][]} sequences List of tokenized input ids.\n * @returns {string[]} The list of wp decoded sentences.\n */\n wp_decode(sequences) {\n return this.wp_tokenizer.batch_decode(sequences).map(str => str.replaceAll(' ', ''));\n }\n\n /**\n * Convert a list of lists of token ids into a list of strings by calling decode.\n * @param {import('../../utils/tensor.js').Tensor[]} sequences List of tokenized input ids.\n * @returns {{generated_text: string[], scores: number[], char_preds: string[], bpe_preds: string[], wp_preds: string[]}}\n * Dictionary of all the outputs of the decoded results.\n * - generated_text: The final results after fusion of char, bpe, and wp.\n * - scores: The final scores after fusion of char, bpe, and wp.\n * - char_preds: The list of character decoded sentences.\n * - bpe_preds: The list of BPE decoded sentences.\n * - wp_preds: The list of wp decoded sentences.\n */\n // @ts-expect-error The type of this method is not compatible with the one\n // in the base class. It might be a good idea to fix this.\n batch_decode([char_logits, bpe_logits, wp_logits]) {\n const [char_preds, char_scores] = this._decode_helper(char_logits, 'char');\n const [bpe_preds, bpe_scores] = this._decode_helper(bpe_logits, 'bpe');\n const [wp_preds, wp_scores] = this._decode_helper(wp_logits, 'wp');\n\n const generated_text = [];\n const scores = [];\n for (let i = 0; i < char_preds.length; ++i) {\n const [max_score, max_score_index] = max([char_scores[i], bpe_scores[i], wp_scores[i]]);\n generated_text.push([char_preds[i], bpe_preds[i], wp_preds[i]][max_score_index]);\n scores.push(max_score);\n }\n\n return {\n generated_text,\n scores,\n char_preds,\n bpe_preds,\n wp_preds,\n }\n }\n /** @type {typeof Processor.from_pretrained} */\n static async from_pretrained(...args) {\n const base = await super.from_pretrained(...args);\n\n // Load Transformers.js-compatible versions of the BPE and WordPiece tokenizers\n const bpe_tokenizer = await AutoTokenizer.from_pretrained(\"Xenova/gpt2\") // openai-community/gpt2\n const wp_tokenizer = await AutoTokenizer.from_pretrained(\"Xenova/bert-base-uncased\") // google-bert/bert-base-uncased\n\n // Update components\n base.components = {\n image_processor: base.image_processor,\n char_tokenizer: base.tokenizer,\n bpe_tokenizer: bpe_tokenizer,\n wp_tokenizer: wp_tokenizer,\n }\n return base;\n }\n\n async _call(images, text = null) {\n const result = await this.image_processor(images);\n\n if (text) {\n result.labels = this.tokenizer(text).input_ids\n }\n\n return result;\n }\n}\n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\n\nexport class MobileNetV1ImageProcessor extends ImageProcessor { }\nexport class MobileNetV1FeatureExtractor extends MobileNetV1ImageProcessor { }\n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\n\nexport class MobileNetV2ImageProcessor extends ImageProcessor { }\nexport class MobileNetV2FeatureExtractor extends MobileNetV2ImageProcessor { }\n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\n\nexport class MobileNetV3ImageProcessor extends ImageProcessor { }\nexport class MobileNetV3FeatureExtractor extends MobileNetV3ImageProcessor { }\n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\n\nexport class MobileNetV4ImageProcessor extends ImageProcessor { }\nexport class MobileNetV4FeatureExtractor extends MobileNetV4ImageProcessor { }\n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\nexport class MobileViTImageProcessor extends ImageProcessor { }\nexport class MobileViTFeatureExtractor extends MobileViTImageProcessor { }\n", "import { FeatureExtractor, validate_audio_inputs } from '../../base/feature_extraction_utils.js';\nimport { Tensor } from '../../utils/tensor.js';\n\n\nexport class MoonshineFeatureExtractor extends FeatureExtractor {\n /**\n * Asynchronously extracts input values from a given audio using the provided configuration.\n * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array.\n * @returns {Promise<{ input_values: Tensor; }>} The extracted input values.\n */\n async _call(audio) {\n validate_audio_inputs(audio, 'MoonshineFeatureExtractor');\n\n if (audio instanceof Float64Array) {\n audio = new Float32Array(audio);\n }\n\n const shape = [\n 1, /* batch_size */\n audio.length, /* num_samples */\n ];\n return {\n input_values: new Tensor('float32', audio, shape),\n };\n }\n}\n", "import { AutoFeatureExtractor } from \"../auto/feature_extraction_auto.js\"\nimport { AutoTokenizer } from \"../../tokenizers.js\"\nimport { Processor } from \"../../base/processing_utils.js\"\n\n/**\n * Represents a MoonshineProcessor that extracts features from an audio input.\n */\nexport class MoonshineProcessor extends Processor {\n static tokenizer_class = AutoTokenizer\n static feature_extractor_class = AutoFeatureExtractor\n\n /**\n * Calls the feature_extractor function with the given audio input.\n * @param {any} audio The audio input to extract features from.\n * @returns {Promise<any>} A Promise that resolves with the extracted features.\n */\n async _call(audio) {\n return await this.feature_extractor(audio);\n }\n}\n", "\nimport { DonutImageProcessor } from \"../donut/image_processing_donut.js\";\n\n// NOTE: extends DonutImageProcessor\nexport class NougatImageProcessor extends DonutImageProcessor { }\n", "\nimport { OwlViTImageProcessor } from \"../owlvit/image_processing_owlvit.js\";\n\n// NOTE: extends OwlViTImageProcessor\nexport class Owlv2ImageProcessor extends OwlViTImageProcessor { }\n", "import { \n ImageProcessor,\n post_process_object_detection,\n} from \"../../base/image_processors_utils.js\";\n\nexport class OwlViTImageProcessor extends ImageProcessor {\n /** @type {typeof post_process_object_detection} */\n post_process_object_detection(...args) {\n return post_process_object_detection(...args);\n }\n}\nexport class OwlViTFeatureExtractor extends OwlViTImageProcessor { }\n", "import { Processor } from \"../../base/processing_utils.js\";\nimport { AutoImageProcessor } from \"../auto/image_processing_auto.js\";\nimport { AutoTokenizer } from \"../../tokenizers.js\";\nexport class OwlViTProcessor extends Processor {\n static tokenizer_class = AutoTokenizer\n static image_processor_class = AutoImageProcessor\n}\n", "import { Processor } from \"../../base/processing_utils.js\";\nimport { AutoImageProcessor } from \"../auto/image_processing_auto.js\";\nimport { AutoTokenizer } from \"../../tokenizers.js\";\n\nconst IMAGE_TOKEN = \"<image>\";\n\nfunction build_string_from_input(\n prompt,\n bos_token,\n image_seq_len,\n image_token,\n num_images,\n) {\n return `${image_token.repeat(image_seq_len * num_images)}${bos_token}${prompt}\\n`\n}\n\nexport class PaliGemmaProcessor extends Processor {\n static tokenizer_class = AutoTokenizer\n static image_processor_class = AutoImageProcessor\n static uses_processor_config = false;\n\n /**\n * @typedef {import('../../utils/image.js').RawImage} RawImage\n */\n\n // `images` is required, `text` is optional\n async _call(/** @type {RawImage|RawImage[]} */ images, text = null, kwargs = {}) {\n if (!text) {\n console.warn(\n \"You are using PaliGemma without a text prefix. It will perform as a picture-captioning model.\"\n )\n text = \"\"\n }\n\n if (!Array.isArray(images)) {\n images = [images]\n }\n\n if (!Array.isArray(text)) {\n text = [text]\n }\n\n const bos_token = this.tokenizer.bos_token;\n // @ts-expect-error TS2339\n const image_seq_length = this.image_processor.config.image_seq_length;\n let input_strings;\n if (text.some((t) => t.includes(IMAGE_TOKEN))) {\n input_strings = text.map(\n sample => {\n const expanded_sample = sample.replaceAll(IMAGE_TOKEN, IMAGE_TOKEN.repeat(image_seq_length));\n const bos_rfind_index = expanded_sample.lastIndexOf(IMAGE_TOKEN);\n const bos_index = bos_rfind_index === -1 ? 0 : bos_rfind_index + IMAGE_TOKEN.length;\n return expanded_sample.slice(0, bos_index) + bos_token + expanded_sample.slice(bos_index) + \"\\n\";\n }\n )\n } else {\n console.warn(\n \"You are passing both `text` and `images` to `PaliGemmaProcessor`. The processor expects special \" +\n \"image tokens in the text, as many tokens as there are images per each text. It is recommended to \" +\n \"add `<image>` tokens in the very beginning of your text. For this call, we will infer how many images \" +\n \"each text has and add special tokens.\"\n )\n\n input_strings = text.map(\n sample => build_string_from_input(\n sample,\n bos_token,\n image_seq_length,\n IMAGE_TOKEN,\n images.length,\n )\n )\n }\n\n const text_inputs = this.tokenizer(input_strings, kwargs);\n const image_inputs = await this.image_processor(images, kwargs);\n\n return {\n ...image_inputs,\n ...text_inputs,\n }\n }\n}\n", "import {\n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\nimport { cat, interpolate_4d, slice, stack, Tensor } from \"../../utils/tensor.js\";\n\nconst IMAGE_SIZE = 336;\nconst SLICE_AXES = [2, 3]; // axes to slice on\nconst { ceil, floor, sqrt } = Math;\n\nexport class Phi3VImageProcessor extends ImageProcessor {\n constructor(config) {\n super({\n ...config,\n do_normalize: true,\n do_pad: true,\n pad_size: 'custom',\n do_convert_rgb: true,\n do_resize: true, // Smart resizing \"hd_transform\"\n });\n\n this._num_crops = config.num_crops;\n }\n calc_num_image_tokens_from_image_size(width, height) {\n // @ts-expect-error\n const { num_img_tokens } = this.config;\n return floor(((floor((height / IMAGE_SIZE)) * floor((width / IMAGE_SIZE)) + 1) * num_img_tokens) + 1 + (floor(height / IMAGE_SIZE) + 1) * sqrt(num_img_tokens));\n }\n\n /** @type {ImageProcessor['get_resize_output_image_size']} */\n get_resize_output_image_size(image, size) {\n const hd_num = this._num_crops;\n const [width, height] = image.size\n\n let ratio = width / height;\n let scale = 1;\n\n // Calculate the scaling factor\n while (scale * Math.ceil(scale / ratio) <= hd_num) {\n scale += 1;\n }\n scale -= 1;\n\n // Compute the new dimensions\n const new_w = Math.floor(scale * 336);\n const new_h = Math.floor(new_w / ratio);\n\n return [new_w, new_h]\n }\n\n\n /** @type {ImageProcessor['pad_image']} */\n pad_image(pixelData, imgDims, padSize, options = {}) {\n // Phi3V uses a custom padding strategy:\n // - Pad to a multiple of 336\n // - Pad with white pixels\n const [imageHeight, imageWidth] = imgDims;\n const height = IMAGE_SIZE * ceil(imageHeight / IMAGE_SIZE);\n const width = IMAGE_SIZE * ceil(imageWidth / IMAGE_SIZE);\n\n // NOTE: Since padding is done after normalization, we need to fill with the normalized values\n const constant_values = [1, 1, 1].map((x, i) => (x - this.image_mean[i]) / this.image_std[i]);\n return super.pad_image(pixelData, imgDims, { width, height }, {\n center: true,\n constant_values,\n ...options,\n });\n }\n\n async _call(images, {\n num_crops = null,\n } = {}) {\n // @ts-expect-error\n this._num_crops = num_crops ??= this.config.num_crops;\n if (num_crops < 4 || sqrt(num_crops) % 1 !== 0) {\n throw new Error(\"num_crops must be a square number >= 4\");\n }\n\n if (!Array.isArray(images)) {\n images = [images];\n }\n\n const num_images = images.length;\n const imageData = await Promise.all(images.map(x => this.preprocess(x)));\n\n const original_sizes = imageData.map(x => x.original_size);\n const reshaped_input_sizes = imageData.map(x => x.reshaped_input_size);\n\n // Process each image in batch\n const all_pixel_values = [];\n for (const { pixel_values } of imageData) {\n pixel_values.unsqueeze_(0); // Easier processing as 4D tensor\n\n const [height, width] = pixel_values.dims.slice(-2);\n\n // Global image (Tensor of shape [num_channels, height, width])\n const batch_pixel_values = await interpolate_4d(pixel_values, {\n size: [IMAGE_SIZE, IMAGE_SIZE],\n mode: 'bicubic',\n });\n\n if (num_crops > 0) {\n const patches = [];\n const sqrt_patches = sqrt(num_crops);\n const patch_width = floor(width / sqrt_patches);\n const patch_height = floor(height / sqrt_patches);\n for (let y = 0; y < sqrt_patches; ++y) {\n for (let x = 0; x < sqrt_patches; ++x) {\n let start_x, start_y, end_x, end_y;\n if (y === sqrt_patches - 1) { // At bottom\n start_y = height - patch_height;\n end_y = height;\n } else {\n start_y = y * patch_height;\n end_y = (y + 1) * patch_height;\n }\n if (x === sqrt_patches - 1) { // At right\n start_x = width - patch_width;\n end_x = width;\n } else {\n start_x = x * patch_width;\n end_x = (x + 1) * patch_width;\n }\n\n const starts = [start_y, start_x];\n const ends = [end_y, end_x];\n const patch = await slice(pixel_values, starts, ends, SLICE_AXES);\n patches.push(patch);\n }\n }\n\n const resized_tensors = await interpolate_4d(cat(patches, 0), {\n size: [IMAGE_SIZE, IMAGE_SIZE],\n mode: 'bicubic',\n }); // [num_crops, 3, 336, 336]\n\n // Concatenate the global image with the patches\n all_pixel_values.push(cat([batch_pixel_values, resized_tensors], 0));\n } else {\n // Only use the global image\n // NOTE: Not currently supported in modelling code\n all_pixel_values.push(batch_pixel_values);\n }\n }\n\n // [num_images, 1 + num_crops, num_channels=3, height, width]\n const pixel_values = stack(all_pixel_values, 0);\n\n // Calculate padded image sizes\n const sizes = reshaped_input_sizes.map(x => x.map(y => IMAGE_SIZE * ceil(y / IMAGE_SIZE)));\n\n const image_sizes = new Tensor(\n 'int64',\n sizes.flat(),\n [num_images, 2],\n );\n\n const num_img_tokens = sizes.map(\n ([height, width]) => this.calc_num_image_tokens_from_image_size(width, height),\n );\n\n return { pixel_values, original_sizes, reshaped_input_sizes, image_sizes, num_img_tokens };\n }\n}\n", "import { Processor } from \"../../base/processing_utils.js\";\nimport { AutoImageProcessor } from \"../auto/image_processing_auto.js\";\nimport { AutoTokenizer } from \"../../tokenizers.js\";\nimport { RawImage } from \"../../utils/image.js\";\n\nconst IMAGE_TOKEN = \"<|image|>\";\nconst IMAGE_TOKEN_PATTERN = /<\\|image_\\d+\\|>/g;\n\nexport class Phi3VProcessor extends Processor {\n static image_processor_class = AutoImageProcessor\n static tokenizer_class = AutoTokenizer\n\n /**\n * \n * @param {string|string[]} text \n * @param {RawImage|RawImage[]} images \n * @param { { padding?: boolean, truncation?: boolean, num_crops?: number } | undefined } options\n * @returns {Promise<any>}\n */\n async _call(text, images = null, {\n padding = true,\n truncation = true,\n num_crops = null,\n } = {}) {\n\n if (!Array.isArray(text)) {\n text = [text];\n }\n\n let text_inputs, image_inputs;\n if (images) {\n image_inputs = await this.image_processor(images, { num_crops });\n const { num_img_tokens } = image_inputs;\n\n // The original implementation adds a bos_token before the image tokens\n // TODO: Check if this affects performance, since it looks like a bug in the original implementation\n const prompt_chunks = text.map((t, i) => t.split(IMAGE_TOKEN_PATTERN).join(IMAGE_TOKEN.repeat(num_img_tokens[i])));\n\n text_inputs = this.tokenizer(prompt_chunks, { padding, truncation });\n\n // The model expects image tokens to be negative, so we negate the image token ids\n const image_token_id = this.tokenizer.model.convert_tokens_to_ids([IMAGE_TOKEN])[0];\n text_inputs.input_ids.map_(id => (id == image_token_id) ? -id : id);\n } else {\n text_inputs = this.tokenizer(text);\n }\n\n return {\n ...text_inputs,\n ...image_inputs,\n }\n }\n}\n", "export * from './florence2/processing_florence2.js';\nexport * from './grounding_dino/processing_grounding_dino.js';\nexport * from './idefics3/processing_idefics3.js';\nexport * from './janus/processing_janus.js';\nexport * from './jina_clip/processing_jina_clip.js';\nexport * from './mgp_str/processing_mgp_str.js';\nexport * from './moonshine/processing_moonshine.js';\nexport * from './owlvit/processing_owlvit.js';\nexport * from './phi3_v/processing_phi3_v.js';\nexport * from './paligemma/processing_paligemma.js';\nexport * from './pyannote/processing_pyannote.js';\nexport * from './qwen2_vl/processing_qwen2_vl.js';\nexport * from './sam/processing_sam.js';\nexport * from './speecht5/processing_speecht5.js';\nexport * from './wav2vec2/processing_wav2vec2.js';\nexport * from './wav2vec2_with_lm/processing_wav2vec2_with_lm.js';\nexport * from './whisper/processing_whisper.js';\n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\nexport class PvtImageProcessor extends ImageProcessor { }\n", "import { FeatureExtractor, validate_audio_inputs } from '../../base/feature_extraction_utils.js';\nimport { Tensor } from '../../utils/tensor.js';\nimport { max, softmax } from '../../utils/maths.js';\n\n\nexport class PyAnnoteFeatureExtractor extends FeatureExtractor {\n /**\n * Asynchronously extracts features from a given audio using the provided configuration.\n * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array.\n * @returns {Promise<{ input_values: Tensor; }>} The extracted input features.\n */\n async _call(audio) {\n validate_audio_inputs(audio, 'PyAnnoteFeatureExtractor');\n\n if (audio instanceof Float64Array) {\n audio = new Float32Array(audio);\n }\n\n const shape = [\n 1, /* batch_size */\n 1, /* num_channels */\n audio.length, /* num_samples */\n ];\n return {\n input_values: new Tensor('float32', audio, shape),\n };\n }\n\n /**\n * NOTE: Can return fractional values. `Math.ceil` will ensure correct value.\n * @param {number} samples The number of frames in the audio.\n * @returns {number} The number of frames in the audio.\n */\n samples_to_frames(samples) {\n return ((samples - this.config.offset) / this.config.step);\n }\n\n /**\n * Post-processes the speaker diarization logits output by the model.\n * @param {import('../../utils/tensor.js').Tensor} logits The speaker diarization logits output by the model.\n * @param {number} num_samples Number of samples in the input audio.\n * @returns {Array<Array<{ id: number, start: number, end: number, confidence: number }>>} The post-processed speaker diarization results.\n */\n post_process_speaker_diarization(logits, num_samples) {\n const ratio = (\n num_samples / this.samples_to_frames(num_samples)\n ) / this.config.sampling_rate;\n\n const results = [];\n for (const scores of logits.tolist()) {\n const accumulated_segments = [];\n\n let current_speaker = -1;\n for (let i = 0; i < scores.length; ++i) {\n /** @type {number[]} */\n const probabilities = softmax(scores[i]);\n const [score, id] = max(probabilities);\n const [start, end] = [i, i + 1];\n\n if (id !== current_speaker) {\n // Speaker has changed\n current_speaker = id;\n accumulated_segments.push({ id, start, end, score });\n } else {\n // Continue the current segment\n accumulated_segments.at(-1).end = end;\n accumulated_segments.at(-1).score += score;\n }\n }\n\n results.push(accumulated_segments.map(\n // Convert frame-space to time-space\n // and compute the confidence\n ({ id, start, end, score }) => ({\n id,\n start: start * ratio,\n end: end * ratio,\n confidence: score / (end - start),\n })\n ));\n }\n return results;\n }\n\n}\n", "import { Processor } from '../../base/processing_utils.js';\nimport { PyAnnoteFeatureExtractor } from './feature_extraction_pyannote.js';\n\nexport class PyAnnoteProcessor extends Processor {\n static feature_extractor_class = PyAnnoteFeatureExtractor\n\n /**\n * Calls the feature_extractor function with the given audio input.\n * @param {any} audio The audio input to extract features from.\n * @returns {Promise<any>} A Promise that resolves with the extracted features.\n */\n async _call(audio) {\n return await this.feature_extractor(audio)\n }\n\n /** @type {PyAnnoteFeatureExtractor['post_process_speaker_diarization']} */\n post_process_speaker_diarization(...args) {\n return /** @type {PyAnnoteFeatureExtractor} */(this.feature_extractor).post_process_speaker_diarization(...args);\n }\n\n get sampling_rate() {\n return this.feature_extractor.config.sampling_rate;\n }\n}\n", "import {\n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\nimport { cat, Tensor } from \"../../utils/tensor.js\";\n\nexport class Qwen2VLImageProcessor extends ImageProcessor {\n async _call(images, ...args) {\n const { pixel_values, original_sizes, reshaped_input_sizes } = await super._call(images, ...args);\n\n let patches = pixel_values;\n\n // @ts-ignore\n const { temporal_patch_size, merge_size, patch_size } = this.config;\n if (patches.dims[0] === 1) {\n // Equivalent to np.tile(patches, (self.temporal_patch_size, 1, 1, 1))\n patches = cat(Array.from({ length: temporal_patch_size }, () => patches), 0);\n }\n\n const grid_t = patches.dims[0] / temporal_patch_size;\n const channel = patches.dims[1];\n const grid_h = Math.floor(patches.dims[2] / patch_size);\n const grid_w = Math.floor(patches.dims[3] / patch_size);\n\n const flatten_patches = patches\n .view(\n grid_t,\n temporal_patch_size,\n channel,\n Math.floor(grid_h / merge_size),\n merge_size,\n patch_size,\n Math.floor(grid_w / merge_size),\n merge_size,\n patch_size,\n )\n .permute(0, 3, 6, 4, 7, 2, 1, 5, 8)\n .view(\n grid_t * grid_h * grid_w,\n channel * temporal_patch_size * patch_size * patch_size,\n )\n\n const image_grid_thw = new Tensor('int64', [grid_t, grid_h, grid_w], [1, 3]);\n\n return {\n pixel_values: flatten_patches,\n image_grid_thw,\n original_sizes,\n reshaped_input_sizes,\n }\n }\n}\n\n", "import { Processor } from \"../../base/processing_utils.js\";\nimport { AutoImageProcessor } from \"../auto/image_processing_auto.js\";\nimport { AutoTokenizer } from \"../../tokenizers.js\";\nimport { RawImage } from \"../../utils/image.js\";\n\nexport class Qwen2VLProcessor extends Processor {\n static image_processor_class = AutoImageProcessor\n static tokenizer_class = AutoTokenizer\n\n /**\n * \n * @param {string|string[]} text \n * @param {RawImage|RawImage[]} images \n * @param {...any} args \n * @returns {Promise<any>}\n */\n async _call(text, images = null, ...args) {\n\n if (!Array.isArray(text)) {\n text = [text];\n }\n\n let image_inputs, image_grid_thw;\n\n if (images) {\n image_inputs = await this.image_processor(images);\n image_grid_thw = image_inputs.image_grid_thw;\n }\n\n if (image_grid_thw) {\n // @ts-expect-error TS2551\n let merge_length = this.image_processor.config.merge_size ** 2;\n let index = 0;\n\n const image_grid_thw_list = image_grid_thw.tolist();\n text = text.map(t => {\n while (t.includes(\"<|image_pad|>\")) {\n const prod = Number(image_grid_thw_list[index++].reduce((a, b) => a * b, 1n));\n t = t.replace(\"<|image_pad|>\", \"<|placeholder|>\".repeat(Math.floor(prod / merge_length)));\n }\n return t.replaceAll(\"<|placeholder|>\", \"<|image_pad|>\");\n });\n }\n\n const text_inputs = this.tokenizer(text);\n\n return {\n ...text_inputs,\n ...image_inputs,\n // TODO: ...videos_inputs,\n }\n }\n}\n", "import { \n ImageProcessor,\n post_process_object_detection,\n} from \"../../base/image_processors_utils.js\";\n\n\nexport class RTDetrImageProcessor extends ImageProcessor {\n /** @type {typeof post_process_object_detection} */\n post_process_object_detection(...args) {\n return post_process_object_detection(...args);\n }\n}\n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\nimport { calculateDimensions } from \"../../utils/core.js\";\n\nimport {\n interpolate_4d,\n Tensor,\n} from \"../../utils/tensor.js\";\n\n\n/**\n * @typedef {object} SamImageProcessorResult\n * @property {Tensor} pixel_values\n * @property {import(\"../../base/image_processors_utils.js\").HeightWidth[]} original_sizes\n * @property {import(\"../../base/image_processors_utils.js\").HeightWidth[]} reshaped_input_sizes\n * @property {Tensor} [input_points]\n * @property {Tensor} [input_labels]\n * @property {Tensor} [input_boxes]\n */\n\nexport class SamImageProcessor extends ImageProcessor {\n\n /**\n * \n * @param {any} input_points \n * @param {import(\"../../base/image_processors_utils.js\").HeightWidth[]} original_sizes \n * @param {import(\"../../base/image_processors_utils.js\").HeightWidth[]} reshaped_input_sizes \n * @returns {Tensor}\n */\n reshape_input_points(input_points, original_sizes, reshaped_input_sizes, is_bounding_box = false) {\n\n // Make deep copy to avoid altering user's input\n input_points = structuredClone(input_points);\n let shape = calculateDimensions(input_points);\n\n // TODO: add support for 2D input_points\n if (shape.length === 3) {\n // Correct user's input\n if (!is_bounding_box) {\n shape = [1, ...shape];\n }\n input_points = [input_points];\n } else if (shape.length !== 4) {\n throw Error(\"The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.\")\n }\n\n // Reshape input points\n for (let i = 0; i < input_points.length; ++i) { // batch_size\n let originalImageSize = original_sizes[i];\n let reshapedImageSize = reshaped_input_sizes[i];\n\n let resizeFactors = [\n reshapedImageSize[0] / originalImageSize[0],\n reshapedImageSize[1] / originalImageSize[1]\n ]\n\n for (let j = 0; j < input_points[i].length; ++j) { // point_batch_size\n for (let k = 0; k < input_points[i][j].length; ++k) { // nb_points_per_image\n for (let w = 0; w < input_points[i][j][k].length; ++w) { // 2 or 4\n input_points[i][j][k][w] *= resizeFactors[w % 2];\n }\n }\n }\n }\n\n return new Tensor(\n 'float32',\n Float32Array.from(input_points.flat(Infinity)),\n shape\n )\n\n }\n\n /**\n * \n * @param {any} input_labels \n * @param {Tensor} input_points \n * @returns {Tensor}\n */\n add_input_labels(input_labels, input_points) {\n let shape = calculateDimensions(input_labels);\n if (shape.length === 2) {\n // Correct user's input\n shape = [1, ...shape];\n input_labels = [input_labels];\n } else if (shape.length !== 3) {\n throw Error(\"The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.\")\n }\n\n if (shape.some((x, i) => x !== input_points.dims[i])) {\n throw Error(`The first ${shape.length} dimensions of 'input_points' and 'input_labels' must be the same.`)\n }\n return new Tensor(\n 'int64',\n input_labels.flat(Infinity).map(BigInt),\n shape,\n )\n }\n /**\n * @param {any[]} images The URL(s) of the image(s) to extract features from.\n * @param {Object} [options] Additional options for the processor.\n * @param {any} [options.input_points=null] A 3D or 4D array, representing the input points provided by the user.\n * - 3D: `[point_batch_size, nb_points_per_image, 2]`. In this case, `batch_size` is assumed to be 1.\n * - 4D: `[batch_size, point_batch_size, nb_points_per_image, 2]`.\n * @param {any} [options.input_labels=null] A 2D or 3D array, representing the input labels for the points, used by the prompt encoder to encode the prompt.\n * - 2D: `[point_batch_size, nb_points_per_image]`. In this case, `batch_size` is assumed to be 1.\n * - 3D: `[batch_size, point_batch_size, nb_points_per_image]`.\n * @param {number[][][]} [options.input_boxes=null] A 3D array of shape `(batch_size, num_boxes, 4)`, representing the input boxes provided by the user.\n * This is used by the prompt encoder to encode the prompt. Generally yields to much better generated masks.\n * The processor will generate a tensor, with each dimension corresponding respectively to the image batch size,\n * the number of boxes per image and the coordinates of the top left and botton right point of the box.\n * In the order (`x1`, `y1`, `x2`, `y2`):\n * - `x1`: the x coordinate of the top left point of the input box\n * - `y1`: the y coordinate of the top left point of the input box\n * - `x2`: the x coordinate of the bottom right point of the input box\n * - `y2`: the y coordinate of the bottom right point of the input box\n * @returns {Promise<SamImageProcessorResult>}\n */\n async _call(images, {\n input_points = null,\n input_labels = null,\n input_boxes = null\n } = {}) {\n // TODO allow user to use preprocessed images\n /** @type {SamImageProcessorResult} */\n const processed = await super._call(images);\n\n if (input_points) {\n processed.input_points = this.reshape_input_points(\n input_points, processed.original_sizes, processed.reshaped_input_sizes\n );\n }\n\n if (input_labels) {\n if (!processed.input_points) {\n throw Error(\"`input_points` must be provided if `input_labels` are provided.\")\n }\n processed.input_labels = this.add_input_labels(input_labels, processed.input_points);\n }\n\n if (input_boxes) {\n processed.input_boxes = this.reshape_input_points(\n input_boxes, processed.original_sizes, processed.reshaped_input_sizes, true,\n );\n }\n\n return processed;\n }\n\n /**\n * Remove padding and upscale masks to the original image size.\n * @param {Tensor} masks Batched masks from the mask_decoder in (batch_size, num_channels, height, width) format.\n * @param {[number, number][]} original_sizes The original sizes of each image before it was resized to the model's expected input shape, in (height, width) format.\n * @param {[number, number][]} reshaped_input_sizes The size of each image as it is fed to the model, in (height, width) format. Used to remove padding.\n * @param {Object} options Optional parameters for post-processing.\n * @param {number} [options.mask_threshold] The threshold to use for binarizing the masks.\n * @param {boolean} [options.binarize] Whether to binarize the masks.\n * @param {Object} [options.pad_size] The target size the images were padded to before being passed to the model. If `null`, the target size is assumed to be the processor's `pad_size`.\n * @param {number} [options.pad_size.height] The height the images were padded to.\n * @param {number} [options.pad_size.width] The width the images were padded to.\n * @returns {Promise<Tensor[]>} Batched masks in batch_size, num_channels, height, width) format, where (height, width) is given by original_size.\n */\n async post_process_masks(masks, original_sizes, reshaped_input_sizes, {\n mask_threshold = 0.0,\n binarize = true,\n pad_size = null,\n } = {}) {\n // masks: [1, 1, 3, 256, 256]\n\n const output_masks = [];\n\n pad_size = pad_size ?? this.pad_size;\n\n /** @type {[number, number]} */\n const target_image_size = [pad_size.height, pad_size.width];\n\n for (let i = 0; i < original_sizes.length; ++i) {\n const original_size = original_sizes[i];\n const reshaped_input_size = reshaped_input_sizes[i];\n\n // Upscale mask to padded size\n let interpolated_mask = (await interpolate_4d(\n masks[i],\n { mode: 'bilinear', size: target_image_size }\n ));\n\n // Crop mask\n interpolated_mask = interpolated_mask.slice(null, null, [0, reshaped_input_size[0]], [0, reshaped_input_size[1]]);\n\n // Downscale mask\n interpolated_mask = (await interpolate_4d(\n interpolated_mask,\n { mode: 'bilinear', size: original_size }\n ));\n\n if (binarize) {\n const data = interpolated_mask.data;\n const binarizedMaskData = new Uint8Array(data.length);\n for (let i = 0; i < data.length; ++i) {\n if (data[i] > mask_threshold) {\n binarizedMaskData[i] = 1;\n }\n }\n interpolated_mask = new Tensor(\n 'bool',\n binarizedMaskData,\n interpolated_mask.dims\n )\n }\n\n output_masks.push(interpolated_mask);\n }\n\n return output_masks;\n }\n\n /**\n * Generates a list of crop boxes of different sizes. Each layer has (2**i)**2 boxes for the ith layer.\n * @param {import(\"../../utils/image.js\").RawImage} image Input original image\n * @param {number} target_size Target size of the resized image\n * @param {Object} options Options for generating crop boxes \n * @param {number} [options.crop_n_layers] If >0, mask prediction will be run again on crops of the image.\n * Sets the number of layers to run, where each layer has 2**i_layer number of image crops.\n * @param {number} [options.overlap_ratio] Sets the degree to which crops overlap. In the first crop layer,\n * crops will overlap by this fraction of the image length. Later layers with more crops scale down this overlap.\n * @param {number} [options.points_per_crop] Number of points to sample from each crop.\n * @param {number} [options.crop_n_points_downscale_factor] The number of points-per-side sampled in layer n is\n * scaled down by crop_n_points_downscale_factor**n.\n * @returns {Object} An object containing the crop boxes, number of points per crop, cropped images, and input labels.\n */\n generate_crop_boxes(image, target_size, {\n crop_n_layers = 0,\n overlap_ratio = 512 / 1500,\n points_per_crop = 32,\n crop_n_points_downscale_factor = 1,\n } = {}) {\n // TODO: Implement\n // return { crop_boxes, points_per_crop, cropped_images, input_labels }\n }\n}\n\n", "import { Processor } from \"../../base/processing_utils.js\";\nimport { AutoImageProcessor } from \"../auto/image_processing_auto.js\";\n\nexport class SamProcessor extends Processor {\n static image_processor_class = AutoImageProcessor\n\n async _call(...args) {\n return await this.image_processor(...args);\n }\n\n post_process_masks(...args) {\n // @ts-ignore\n return this.image_processor.post_process_masks(...args);\n }\n\n reshape_input_points(...args) {\n // @ts-ignore\n return this.image_processor.reshape_input_points(...args);\n }\n}", "import { FeatureExtractor, validate_audio_inputs } from '../../base/feature_extraction_utils.js';\nimport { Tensor } from '../../utils/tensor.js';\nimport { mel_filter_bank, spectrogram, window_function } from '../../utils/audio.js';\n\nexport class SeamlessM4TFeatureExtractor extends FeatureExtractor {\n\n constructor(config) {\n super(config);\n\n const sampling_rate = this.config.sampling_rate;\n const mel_filters = mel_filter_bank(\n 256, // num_frequency_bins\n this.config.num_mel_bins, // num_mel_filters\n 20, // min_frequency\n Math.floor(sampling_rate / 2), // max_frequency\n sampling_rate, // sampling_rate\n null, // norm\n \"kaldi\", // mel_scale\n true, // triangularize_in_mel_space\n );\n\n // Do padding:\n for (let i = 0; i < mel_filters.length; ++i) {\n mel_filters[i].push(0);\n }\n this.mel_filters = mel_filters;\n\n this.window = window_function(400, 'povey', {\n periodic: false,\n })\n }\n\n /**\n * Computes the log-Mel spectrogram of the provided audio waveform.\n * @param {Float32Array|Float64Array} waveform The audio waveform to process.\n * @param {number} max_length The maximum number of frames to return.\n * @returns {Promise<Tensor>} An object containing the log-Mel spectrogram data as a Float32Array and its dimensions as an array of numbers.\n */\n async _extract_fbank_features(waveform, max_length) {\n // NOTE: We don't pad/truncate since that is passed in as `max_num_frames`\n\n // Kaldi compliance: 16-bit signed integers\n // 32768 == 2 ** 15\n waveform = waveform.map((/** @type {number} */ x) => x * 32768)\n\n return spectrogram(\n waveform,\n this.window, // window\n 400, // frame_length\n 160, // hop_length\n {\n fft_length: 512,\n power: 2.0,\n center: false,\n preemphasis: 0.97,\n mel_filters: this.mel_filters,\n log_mel: 'log',\n mel_floor: 1.192092955078125e-07,\n remove_dc_offset: true,\n\n // Custom\n max_num_frames: max_length,\n transpose: true,\n }\n )\n }\n\n /**\n * Asynchronously extracts features from a given audio using the provided configuration.\n * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array.\n * @param {Object} options Optional parameters for feature extraction.\n * @param {boolean} [options.padding=true] Whether to pad the sequence to a multiple of `pad_to_multiple_of`.\n * @param {number} [options.pad_to_multiple_of=2] The number to pad the sequence to a multiple of.\n * @param {boolean} [options.do_normalize_per_mel_bins=true] Whether or not to zero-mean unit-variance normalize the input per mel-channel.\n * @param {boolean} [options.return_attention_mask=true] Whether to return the attention mask.\n * @returns {Promise<{ input_features: Tensor, attention_mask?: Tensor }>} A Promise resolving to an object containing the extracted input features and attention masks as Tensors.\n */\n async _call(audio, {\n padding = true,\n pad_to_multiple_of = 2,\n do_normalize_per_mel_bins = true,\n return_attention_mask = true,\n } = {}) {\n validate_audio_inputs(audio, 'SeamlessM4TFeatureExtractor');\n\n let features = await this._extract_fbank_features(audio, this.config.max_length);\n\n if (do_normalize_per_mel_bins) {\n const [num_features, feature_size] = features.dims;\n const data = features.data;\n for (let i = 0; i < feature_size; ++i) {\n let sum = 0;\n for (let j = 0; j < num_features; ++j) {\n sum += data[j * feature_size + i];\n }\n\n const mean = sum / num_features;\n\n let variance = 0;\n for (let j = 0; j < num_features; ++j) {\n variance += (data[j * feature_size + i] - mean) ** 2;\n }\n variance /= num_features - 1; // NOTE: We use ddof=1\n\n const std = Math.sqrt(variance + 1e-7);\n for (let j = 0; j < num_features; ++j) {\n const index = j * feature_size + i;\n data[index] = (data[index] - mean) / std;\n }\n }\n }\n\n let padded_attention_mask;\n if (padding) {\n const [num_frames, num_channels] = features.dims;\n const data = /** @type {Float32Array} */(features.data);\n\n const pad_size = num_frames % pad_to_multiple_of;\n if (pad_size > 0) {\n const padded_data = new Float32Array(num_channels * (num_frames + pad_size));\n padded_data.set(data)\n padded_data.fill(this.config.padding_value, data.length)\n\n const numPaddedFrames = num_frames + pad_size;\n features = new Tensor(\n features.type,\n padded_data,\n [numPaddedFrames, num_channels],\n )\n\n if (return_attention_mask) {\n padded_attention_mask = new Tensor(\n 'int64',\n new BigInt64Array(numPaddedFrames),\n [1, numPaddedFrames],\n );\n /** @type {BigInt64Array} */ (padded_attention_mask.data).fill(1n, 0, num_frames);\n }\n }\n }\n\n const [num_frames, num_channels] = features.dims;\n\n const stride = this.config.stride;\n const remainder = num_frames % stride;\n if (remainder !== 0) {\n throw new Error(`The number of frames (${num_frames}) must be a multiple of the stride (${stride}).`)\n }\n\n const input_features = features.view(\n 1,\n Math.floor(num_frames / stride),\n num_channels * stride,\n );\n\n const result = { input_features }\n\n if (return_attention_mask) {\n const reshapedNumFrames = input_features.dims[1];\n\n const attention_mask_data = new BigInt64Array(reshapedNumFrames);\n\n if (padded_attention_mask) {\n const padded_attention_mask_data = padded_attention_mask.data;\n for (let i = 1, j = 0; i < num_frames; i += stride, ++j) {\n attention_mask_data[j] = padded_attention_mask_data[i];\n }\n } else {\n attention_mask_data.fill(1n);\n }\n result.attention_mask = new Tensor(\n 'int64',\n attention_mask_data,\n [1, reshapedNumFrames],\n );\n }\n\n return result;\n }\n}\n", "import { \n ImageProcessor,\n post_process_semantic_segmentation,\n} from \"../../base/image_processors_utils.js\";\n\n\nexport class SegformerImageProcessor extends ImageProcessor {\n /** @type {typeof post_process_semantic_segmentation} */\n post_process_semantic_segmentation(...args) {\n return post_process_semantic_segmentation(...args);\n }\n}\nexport class SegformerFeatureExtractor extends SegformerImageProcessor { }\n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\nexport class SiglipImageProcessor extends ImageProcessor { }\n", "\nimport { FeatureExtractor } from \"../../base/feature_extraction_utils.js\";\n\nexport class SpeechT5FeatureExtractor extends FeatureExtractor { }\n", "import { Processor } from \"../../base/processing_utils.js\";\nimport { AutoTokenizer } from \"../../tokenizers.js\";\nimport { AutoFeatureExtractor } from \"../auto/feature_extraction_auto.js\";\n\nexport class SpeechT5Processor extends Processor {\n static tokenizer_class = AutoTokenizer\n static feature_extractor_class = AutoFeatureExtractor\n\n /**\n * Calls the feature_extractor function with the given input.\n * @param {any} input The input to extract features from.\n * @returns {Promise<any>} A Promise that resolves with the extracted features.\n */\n async _call(input) {\n return await this.feature_extractor(input)\n }\n}\n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\nexport class Swin2SRImageProcessor extends ImageProcessor {\n pad_image(pixelData, imgDims, padSize, options = {}) {\n // NOTE: In this case, `padSize` represents the size of the sliding window for the local attention.\n // In other words, the image is padded so that its width and height are multiples of `padSize`.\n const [imageHeight, imageWidth, imageChannels] = imgDims;\n\n return super.pad_image(pixelData, imgDims, {\n // NOTE: For Swin2SR models, the original python implementation adds padding even when the image's width/height is already\n // a multiple of `pad_size`. However, this is most likely a bug (PR: https://github.com/mv-lab/swin2sr/pull/19).\n // For this reason, we only add padding when the image's width/height is not a multiple of `pad_size`.\n width: imageWidth + (padSize - imageWidth % padSize) % padSize,\n height: imageHeight + (padSize - imageHeight % padSize) % padSize,\n }, {\n mode: 'symmetric',\n center: false,\n constant_values: -1,\n ...options,\n })\n }\n}", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\nexport class ViTImageProcessor extends ImageProcessor { }\nexport class ViTFeatureExtractor extends ViTImageProcessor { }\n\n", "import { \n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\nimport {\n stack,\n cat,\n} from \"../../utils/tensor.js\";\n\nexport class VitMatteImageProcessor extends ImageProcessor {\n /**\n * Calls the feature extraction process on an array of images, preprocesses\n * each image, and concatenates the resulting features into a single Tensor.\n * @param {import(\"../../utils/image.js\").RawImage[]} images The image(s) to extract features from.\n * @param {import(\"../../utils/image.js\").RawImage[]} trimaps The trimaps(s) to extract features from.\n * @returns {Promise<import(\"../../base/image_processors_utils.js\").ImageProcessorResult>} An object containing the concatenated pixel values of the preprocessed images.\n */\n async _call(images, trimaps) {\n if (!Array.isArray(images)) {\n images = [images];\n }\n if (!Array.isArray(trimaps)) {\n trimaps = [trimaps];\n }\n\n const imageData = await Promise.all(images.map(x => this.preprocess(x)));\n const trimapData = await Promise.all(trimaps.map(x => this.preprocess(x, {\n do_normalize: false,\n do_convert_rgb: false,\n do_convert_grayscale: true,\n })));\n\n\n // Stack pixel values\n const pixel_values = stack(imageData.map(\n // Concatenate images and trimaps\n (x, i) => cat([x.pixel_values, trimapData[i].pixel_values], 0)\n ), 0);\n\n return {\n pixel_values,\n\n // Original sizes of images\n original_sizes: imageData.map(x => x.original_size),\n\n // Reshaped sizes of images, before padding or cropping\n reshaped_input_sizes: imageData.map(x => x.reshaped_input_size),\n }\n }\n}\n", "import {\n ImageProcessor,\n} from \"../../base/image_processors_utils.js\";\n\nexport class VitPoseImageProcessor extends ImageProcessor {\n\n /**\n * Transform the heatmaps into keypoint predictions and transform them back to the image.\n * NOTE: This is a naive implementation and does not include advanced post-processing techniques,\n * so the results may not be as accurate as the original implementation.\n * @param {import('../../utils/tensor.js').Tensor} outputs The model outputs.\n * @param {[number, number, number, number][][]} boxes List or array of bounding boxes for each image.\n * Each box should be a list of 4 floats representing the bounding box coordinates in COCO format (top_left_x, top_left_y, width, height).\n * @returns {{\n * bbox: [number, number, number, number],\n * scores: number[],\n * labels: number[],\n * keypoints: [number, number][]\n * }[][]} List of keypoints predictions for each image.\n */\n post_process_pose_estimation(outputs, boxes, {\n threshold = null,\n // TODO:\n // kernel_size = 11,\n // target_sizes = null,\n } = {}) {\n // NOTE: boxes are 3D (batch_size, num_boxes, 4)\n const heatmaps = outputs.tolist();\n const [batch_size, num_classes, height, width] = outputs.dims;\n\n const results = [];\n for (let b = 0; b < batch_size; ++b) {\n const heatmap = heatmaps[b];\n const bboxes = boxes[b];\n\n const batch_results = [];\n for (let n = 0; n < bboxes.length; ++n) {\n const bbox = bboxes[n];\n\n const keypoints = [];\n const scores = [];\n const labels = [];\n\n const xScale = bbox.at(-2) / width;\n const yScale = bbox.at(-1) / height;\n for (let c = 0; c < heatmap.length; ++c) {\n let [xWeightedSum, yWeightedSum] = [0, 0];\n let sum = 0;\n let score = -Infinity;\n const row = heatmap[c];\n for (let y = 0; y < row.length; ++y) {\n const col = row[y];\n for (let x = 0; x < col.length; ++x) {\n const value = col[x];\n sum += value;\n\n score = Math.max(score, value);\n\n // Get weighted sum of positions\n // TODO: Determine best offsets\n xWeightedSum += (x + 0.5) * value;\n yWeightedSum += (y) * value;\n }\n }\n\n // Ignore low scores, if threshold is set\n if (threshold != null && score < threshold) continue;\n\n /** @type {[number, number]} */\n const keypoint = [\n xScale * xWeightedSum / sum,\n yScale * yWeightedSum / sum,\n ]\n keypoints.push(keypoint);\n labels.push(c);\n scores.push(score);\n }\n batch_results.push({\n bbox,\n scores,\n labels,\n keypoints,\n });\n }\n results.push(batch_results);\n }\n return results;\n }\n}\n", "import { FeatureExtractor, validate_audio_inputs } from \"../../base/feature_extraction_utils.js\";\nimport { Tensor } from \"../../utils/tensor.js\";\n\nexport class Wav2Vec2FeatureExtractor extends FeatureExtractor {\n\n /**\n * @param {Float32Array} input_values \n * @returns {Float32Array} \n */\n _zero_mean_unit_var_norm(input_values) {\n // TODO support batch?\n const sum = input_values.reduce((a, b) => a + b, 0);\n const mean = sum / input_values.length;\n const variance = input_values.reduce((a, b) => a + (b - mean) ** 2, 0) / input_values.length;\n return input_values.map(x => (x - mean) / Math.sqrt(variance + 1e-7));\n }\n\n /**\n * Asynchronously extracts features from a given audio using the provided configuration.\n * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array.\n * @returns {Promise<{ input_values: Tensor; attention_mask: Tensor }>} A Promise resolving to an object containing the extracted input features and attention mask as Tensors.\n */\n async _call(audio) {\n validate_audio_inputs(audio, 'Wav2Vec2FeatureExtractor');\n\n if (audio instanceof Float64Array) {\n audio = new Float32Array(audio);\n }\n\n let input_values = audio;\n\n // zero-mean and unit-variance normalization\n if (this.config.do_normalize) {\n input_values = this._zero_mean_unit_var_norm(input_values);\n }\n\n // TODO: allow user to pass in attention mask\n const shape = [1, input_values.length];\n return {\n input_values: new Tensor('float32', input_values, shape),\n attention_mask: new Tensor('int64', new BigInt64Array(input_values.length).fill(1n), shape)\n };\n }\n}\n", "import { AutoTokenizer } from \"../../tokenizers.js\";\nimport { AutoFeatureExtractor } from \"../auto/feature_extraction_auto.js\";\nimport { Processor } from \"../../base/processing_utils.js\";\n\nexport class Wav2Vec2Processor extends Processor {\n static tokenizer_class = AutoTokenizer\n static feature_extractor_class = AutoFeatureExtractor\n\n /**\n * Calls the feature_extractor function with the given audio input.\n * @param {any} audio The audio input to extract features from.\n * @returns {Promise<any>} A Promise that resolves with the extracted features.\n */\n async _call(audio) {\n return await this.feature_extractor(audio)\n }\n}\n", "import { AutoTokenizer } from \"../../tokenizers.js\";\nimport { AutoFeatureExtractor } from \"../auto/feature_extraction_auto.js\";\nimport { Processor } from \"../../base/processing_utils.js\";\n\nexport class Wav2Vec2ProcessorWithLM extends Processor {\n static tokenizer_class = AutoTokenizer\n static feature_extractor_class = AutoFeatureExtractor\n\n /**\n * Calls the feature_extractor function with the given audio input.\n * @param {any} audio The audio input to extract features from.\n * @returns {Promise<any>} A Promise that resolves with the extracted features.\n */\n async _call(audio) {\n return await this.feature_extractor(audio)\n }\n}\n", "import { FeatureExtractor, validate_audio_inputs } from '../../base/feature_extraction_utils.js';\nimport { Tensor } from '../../utils/tensor.js';\nimport { mel_filter_bank, spectrogram, window_function } from '../../utils/audio.js';\n\n\nexport class WeSpeakerFeatureExtractor extends FeatureExtractor {\n\n constructor(config) {\n super(config);\n\n const sampling_rate = this.config.sampling_rate;\n const mel_filters = mel_filter_bank(\n 256, // num_frequency_bins\n this.config.num_mel_bins, // num_mel_filters\n 20, // min_frequency\n Math.floor(sampling_rate / 2), // max_frequency\n sampling_rate, // sampling_rate\n null, // norm\n \"kaldi\", // mel_scale\n true, // triangularize_in_mel_space\n );\n\n // Do padding:\n for (let i = 0; i < mel_filters.length; ++i) {\n mel_filters[i].push(0);\n }\n this.mel_filters = mel_filters;\n\n this.window = window_function(400, 'hamming', {\n periodic: false,\n })\n this.min_num_frames = this.config.min_num_frames;\n }\n\n /**\n * Computes the log-Mel spectrogram of the provided audio waveform.\n * @param {Float32Array|Float64Array} waveform The audio waveform to process.\n * @returns {Promise<Tensor>} An object containing the log-Mel spectrogram data as a Float32Array and its dimensions as an array of numbers.\n */\n async _extract_fbank_features(waveform) {\n // Kaldi compliance: 16-bit signed integers\n // 32768 == 2 ** 15\n waveform = waveform.map((/** @type {number} */ x) => x * 32768)\n\n return spectrogram(\n waveform,\n this.window, // window\n 400, // frame_length\n 160, // hop_length\n {\n fft_length: 512,\n power: 2.0,\n center: false,\n preemphasis: 0.97,\n mel_filters: this.mel_filters,\n log_mel: 'log',\n mel_floor: 1.192092955078125e-07,\n remove_dc_offset: true,\n\n // Custom\n transpose: true,\n min_num_frames: this.min_num_frames,\n }\n )\n }\n\n\n /**\n * Asynchronously extracts features from a given audio using the provided configuration.\n * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array.\n * @returns {Promise<{ input_features: Tensor }>} A Promise resolving to an object containing the extracted input features as a Tensor.\n */\n async _call(audio) {\n validate_audio_inputs(audio, 'WeSpeakerFeatureExtractor');\n\n const features = (await this._extract_fbank_features(audio)).unsqueeze_(0);\n\n if (this.config.fbank_centering_span === null) {\n // center features with global average\n const meanData = /** @type {Float32Array} */ (features.mean(1).data);\n const featuresData = /** @type {Float32Array} */(features.data);\n const [batch_size, num_frames, feature_size] = features.dims;\n\n for (let i = 0; i < batch_size; ++i) {\n const offset1 = i * num_frames * feature_size;\n const offset2 = i * feature_size;\n for (let j = 0; j < num_frames; ++j) {\n const offset3 = offset1 + j * feature_size;\n for (let k = 0; k < feature_size; ++k) {\n featuresData[offset3 + k] -= meanData[offset2 + k];\n }\n }\n }\n }\n\n return {\n input_features: features\n };\n }\n}\n", "\n\nconst WHISPER_LANGUAGES = [\n [\"en\", \"english\"],\n [\"zh\", \"chinese\"],\n [\"de\", \"german\"],\n [\"es\", \"spanish\"],\n [\"ru\", \"russian\"],\n [\"ko\", \"korean\"],\n [\"fr\", \"french\"],\n [\"ja\", \"japanese\"],\n [\"pt\", \"portuguese\"],\n [\"tr\", \"turkish\"],\n [\"pl\", \"polish\"],\n [\"ca\", \"catalan\"],\n [\"nl\", \"dutch\"],\n [\"ar\", \"arabic\"],\n [\"sv\", \"swedish\"],\n [\"it\", \"italian\"],\n [\"id\", \"indonesian\"],\n [\"hi\", \"hindi\"],\n [\"fi\", \"finnish\"],\n [\"vi\", \"vietnamese\"],\n [\"he\", \"hebrew\"],\n [\"uk\", \"ukrainian\"],\n [\"el\", \"greek\"],\n [\"ms\", \"malay\"],\n [\"cs\", \"czech\"],\n [\"ro\", \"romanian\"],\n [\"da\", \"danish\"],\n [\"hu\", \"hungarian\"],\n [\"ta\", \"tamil\"],\n [\"no\", \"norwegian\"],\n [\"th\", \"thai\"],\n [\"ur\", \"urdu\"],\n [\"hr\", \"croatian\"],\n [\"bg\", \"bulgarian\"],\n [\"lt\", \"lithuanian\"],\n [\"la\", \"latin\"],\n [\"mi\", \"maori\"],\n [\"ml\", \"malayalam\"],\n [\"cy\", \"welsh\"],\n [\"sk\", \"slovak\"],\n [\"te\", \"telugu\"],\n [\"fa\", \"persian\"],\n [\"lv\", \"latvian\"],\n [\"bn\", \"bengali\"],\n [\"sr\", \"serbian\"],\n [\"az\", \"azerbaijani\"],\n [\"sl\", \"slovenian\"],\n [\"kn\", \"kannada\"],\n [\"et\", \"estonian\"],\n [\"mk\", \"macedonian\"],\n [\"br\", \"breton\"],\n [\"eu\", \"basque\"],\n [\"is\", \"icelandic\"],\n [\"hy\", \"armenian\"],\n [\"ne\", \"nepali\"],\n [\"mn\", \"mongolian\"],\n [\"bs\", \"bosnian\"],\n [\"kk\", \"kazakh\"],\n [\"sq\", \"albanian\"],\n [\"sw\", \"swahili\"],\n [\"gl\", \"galician\"],\n [\"mr\", \"marathi\"],\n [\"pa\", \"punjabi\"],\n [\"si\", \"sinhala\"],\n [\"km\", \"khmer\"],\n [\"sn\", \"shona\"],\n [\"yo\", \"yoruba\"],\n [\"so\", \"somali\"],\n [\"af\", \"afrikaans\"],\n [\"oc\", \"occitan\"],\n [\"ka\", \"georgian\"],\n [\"be\", \"belarusian\"],\n [\"tg\", \"tajik\"],\n [\"sd\", \"sindhi\"],\n [\"gu\", \"gujarati\"],\n [\"am\", \"amharic\"],\n [\"yi\", \"yiddish\"],\n [\"lo\", \"lao\"],\n [\"uz\", \"uzbek\"],\n [\"fo\", \"faroese\"],\n [\"ht\", \"haitian creole\"],\n [\"ps\", \"pashto\"],\n [\"tk\", \"turkmen\"],\n [\"nn\", \"nynorsk\"],\n [\"mt\", \"maltese\"],\n [\"sa\", \"sanskrit\"],\n [\"lb\", \"luxembourgish\"],\n [\"my\", \"myanmar\"],\n [\"bo\", \"tibetan\"],\n [\"tl\", \"tagalog\"],\n [\"mg\", \"malagasy\"],\n [\"as\", \"assamese\"],\n [\"tt\", \"tatar\"],\n [\"haw\", \"hawaiian\"],\n [\"ln\", \"lingala\"],\n [\"ha\", \"hausa\"],\n [\"ba\", \"bashkir\"],\n [\"jw\", \"javanese\"],\n [\"su\", \"sundanese\"],\n]\n\n// @ts-ignore\nexport const WHISPER_LANGUAGE_MAPPING = new Map(WHISPER_LANGUAGES);\n// @ts-ignore\nexport const WHISPER_TO_LANGUAGE_CODE_MAPPING = new Map([\n ...WHISPER_LANGUAGES.map(([k, v]) => [v, k]),\n ...[\n [\"burmese\", \"my\"],\n [\"valencian\", \"ca\"],\n [\"flemish\", \"nl\"],\n [\"haitian\", \"ht\"],\n [\"letzeburgesch\", \"lb\"],\n [\"pushto\", \"ps\"],\n [\"panjabi\", \"pa\"],\n [\"moldavian\", \"ro\"],\n [\"moldovan\", \"ro\"],\n [\"sinhalese\", \"si\"],\n [\"castilian\", \"es\"],\n ]\n]);\n\n/**\n * @param {string} language The language name or code\n * @returns {string} The language code\n */\nexport function whisper_language_to_code(language) {\n language = language.toLowerCase();\n\n // Map to code from user-friendly name (e.g., \"english\" -> \"en\")\n let language_code = WHISPER_TO_LANGUAGE_CODE_MAPPING.get(language);\n\n if (language_code === undefined) {\n // User provided something that is not a language name\n\n if (WHISPER_LANGUAGE_MAPPING.has(language)) {\n // User provided the language code directly (e.g., \"en\")\n language_code = language;\n\n } else {\n // User provided something that is not a language code or name\n const is_language_code = language.length === 2;\n const langs = is_language_code ? WHISPER_LANGUAGE_MAPPING.keys() : WHISPER_LANGUAGE_MAPPING.values();\n\n throw new Error(`Language \"${language}\" is not supported. Must be one of: ${JSON.stringify(langs)}`);\n }\n }\n return language_code;\n}\n", "import { FeatureExtractor, validate_audio_inputs } from '../../base/feature_extraction_utils.js';\nimport { Tensor } from '../../utils/tensor.js';\nimport { mel_filter_bank, spectrogram, window_function } from '../../utils/audio.js';\nimport { max } from '../../utils/maths.js';\n\nexport class WhisperFeatureExtractor extends FeatureExtractor {\n\n constructor(config) {\n super(config);\n\n // Prefer given `mel_filters` from preprocessor_config.json, or calculate them if they don't exist.\n this.config.mel_filters ??= mel_filter_bank(\n Math.floor(1 + this.config.n_fft / 2), // num_frequency_bins\n this.config.feature_size, // num_mel_filters\n 0.0, // min_frequency\n 8000.0, // max_frequency\n this.config.sampling_rate, // sampling_rate\n \"slaney\", // norm\n \"slaney\", // mel_scale\n );\n\n this.window = window_function(this.config.n_fft, 'hann');\n }\n\n /**\n * Computes the log-Mel spectrogram of the provided audio waveform.\n * @param {Float32Array|Float64Array} waveform The audio waveform to process.\n * @returns {Promise<Tensor>} An object containing the log-Mel spectrogram data as a Float32Array and its dimensions as an array of numbers.\n */\n async _extract_fbank_features(waveform) {\n const features = await spectrogram(\n waveform,\n this.window, // window\n this.config.n_fft, // frame_length\n this.config.hop_length, // hop_length\n {\n power: 2.0,\n mel_filters: this.config.mel_filters,\n log_mel: 'log10',\n\n // Custom\n max_num_frames: this.config.nb_max_frames, // 3000\n }\n )\n\n const data = features.data;\n const maxValue = max(/** @type {Float32Array} */(data))[0];\n\n for (let i = 0; i < data.length; ++i) {\n data[i] = (Math.max(data[i], maxValue - 8.0) + 4.0) / 4.0;\n }\n\n return features;\n }\n\n /**\n * Asynchronously extracts features from a given audio using the provided configuration.\n * @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array.\n * @returns {Promise<{ input_features: Tensor }>} A Promise resolving to an object containing the extracted input features as a Tensor.\n */\n async _call(audio) {\n validate_audio_inputs(audio, 'WhisperFeatureExtractor');\n\n let waveform;\n if (audio.length > this.config.n_samples) {\n console.warn(\n \"Attempting to extract features for audio longer than 30 seconds. \" +\n \"If using a pipeline to extract transcript from a long audio clip, \" +\n \"remember to specify `chunk_length_s` and/or `stride_length_s`.\"\n );\n waveform = audio.slice(0, this.config.n_samples);\n } else {\n // pad with zeros\n waveform = new Float32Array(this.config.n_samples);\n waveform.set(audio);\n }\n\n const features = await this._extract_fbank_features(waveform);\n\n return {\n input_features: features.unsqueeze_(0)\n };\n }\n}\n", "import { GenerationConfig } from \"../../generation/configuration_utils.js\";\n\nexport class WhisperGenerationConfig extends GenerationConfig {\n\n /**\n * Whether to return the timestamps with the text. This enables the `WhisperTimestampsLogitsProcessor`.\n * @type {boolean}\n */\n return_timestamps = null;\n\n /**\n * Whether to return token-level timestamps\n * with the text. This can be used with or without the `return_timestamps` option. To get word-level\n * timestamps, use the tokenizer to group the tokens into words.\n * @type {boolean}\n */\n return_token_timestamps = null;\n\n /**\n * The number of audio frames available in this chunk. This is only used generating word-level timestamps.\n * @type {number}\n */\n num_frames = null;\n\n /**\n * Alignment heads to predict word-level timestamps. This is a list of [layer, head] pairs that\n * select the cross-attention heads that are highly correlated to word-level timing.\n * @type {[number, number][]}\n */\n alignment_heads = null;\n\n /**\n * Task to use for generation, either \"translate\" or \"transcribe\".\n * @type {string}\n */\n task = null;\n\n /**\n * Language token to use for generation, can be either in the form of `<|en|>`, `en` or `english`.\n * You can find all the possible language tokens in the `model.generation_config.lang_to_id` dictionary.\n * @type {string}\n */\n language = null;\n\n /**\n * The id of the `\"<|notimestamps|>\"` token.\n * @type {number}\n */\n no_timestamps_token_id = null;\n\n /**\n * Rank-1 list of token IDs created by passing text to [`~WhisperProcessor.get_prompt_ids`] that is\n * provided as a prompt to each chunk. This can be used to provide or \"prompt-engineer\" a context for\n * transcription, e.g. custom vocabularies or proper nouns to make it more likely to predict those words\n * correctly. It cannot be used in conjunction with `decoder_start_token_id` as it overwrites this value.\n * @type {number[]}\n */\n prompt_ids = null;\n\n /**\n * Whether the model is multilingual or not.\n * @type {boolean}\n */\n is_multilingual = null;\n\n /**\n * (Optional) A mapping from language tokens to their corresponding IDs.\n * Only required if the model is multilingual.\n * @type {Record<string, number>|null}\n */\n lang_to_id = null;\n\n /**\n * (Optional) A mapping from task tokens to their corresponding IDs.\n * @type {Record<string, number>|null}\n */\n task_to_id = null;\n\n /**\n * Used to set the maximum value of the initial timestamp. This is used to prevent the model from\n * predicting timestamps that are too far in the future.\n * @type {number}\n */\n max_initial_timestamp_index = 1;\n}\n\n/**\n * @typedef {import('../../generation/parameters.js').GenerationFunctionParameters & {generation_config: WhisperGenerationConfig} & WhisperGenerationConfig} WhisperGenerationFunctionParameters\n */\n", "import { AutoFeatureExtractor } from \"../auto/feature_extraction_auto.js\"\nimport { AutoTokenizer } from \"../../tokenizers.js\"\nimport { Processor } from \"../../base/processing_utils.js\"\n\n/**\n * Represents a WhisperProcessor that extracts features from an audio input.\n */\nexport class WhisperProcessor extends Processor {\n static tokenizer_class = AutoTokenizer\n static feature_extractor_class = AutoFeatureExtractor\n\n /**\n * Calls the feature_extractor function with the given audio input.\n * @param {any} audio The audio input to extract features from.\n * @returns {Promise<any>} A Promise that resolves with the extracted features.\n */\n async _call(audio) {\n return await this.feature_extractor(audio);\n }\n}\n\n", "import { \n ImageProcessor,\n post_process_object_detection,\n} from \"../../base/image_processors_utils.js\";\n\nexport class YolosImageProcessor extends ImageProcessor {\n /** @type {typeof post_process_object_detection} */\n post_process_object_detection(...args) {\n return post_process_object_detection(...args);\n }\n}\nexport class YolosFeatureExtractor extends YolosImageProcessor { }\n", "import { createInferenceSession, isONNXProxy } from \"../backends/onnx.js\";\nimport { Tensor } from \"../utils/tensor.js\";\nimport { apis } from \"../env.js\";\n\nconst IS_WEB_ENV = apis.IS_BROWSER_ENV || apis.IS_WEBWORKER_ENV;\n/**\n * Asynchronously creates a wrapper function for running an ONNX inference session.\n *\n * @param {number[]} session_bytes The session data in bytes.\n * @param {import('onnxruntime-common').InferenceSession.SessionOptions} session_options The options for the ONNX session.\n * @template {string | [string] | string[]} T\n * @param {T} names The name(s) of the output tensor(s).\n * \n * @returns {Promise<function(Record<string, Tensor>): Promise<T extends string ? Tensor : T extends string[] ? { [K in keyof T]: Tensor } : never>>}\n * The wrapper function for running the ONNX inference session.\n */\nconst wrap = async (session_bytes, session_options, names) => {\n const session = await createInferenceSession(\n new Uint8Array(session_bytes), session_options,\n );\n\n /** @type {Promise<any>} */\n let chain = Promise.resolve();\n\n return /** @type {any} */(async (/** @type {Record<string, Tensor>} */ inputs) => {\n const proxied = isONNXProxy();\n const ortFeed = Object.fromEntries(Object.entries(inputs).map(([k, v]) => [k, (proxied ? v.clone() : v).ort_tensor]));\n\n // When running in-browser via WASM, we need to chain calls to session.run to avoid \"Error: Session already started\"\n const outputs = await (chain = IS_WEB_ENV ? chain.then(() => session.run(ortFeed)) : session.run(ortFeed));\n\n if (Array.isArray(names)) {\n return names.map((n) => new Tensor(outputs[n]));\n } else {\n return new Tensor(outputs[/** @type {string} */(names)]);\n }\n })\n}\n\n// In-memory registry of initialized ONNX operators\nexport class TensorOpRegistry {\n static session_options = {\n // TODO: Allow for multiple execution providers\n // executionProviders: ['webgpu'],\n };\n\n static get nearest_interpolate_4d() {\n if (!this._nearest_interpolate_4d) {\n this._nearest_interpolate_4d = wrap(\n [8, 10, 18, 0, 58, 129, 1, 10, 41, 10, 1, 120, 10, 0, 10, 0, 10, 1, 115, 18, 1, 121, 34, 6, 82, 101, 115, 105, 122, 101, 42, 18, 10, 4, 109, 111, 100, 101, 34, 7, 110, 101, 97, 114, 101, 115, 116, 160, 1, 3, 18, 1, 114, 90, 31, 10, 1, 120, 18, 26, 10, 24, 8, 1, 18, 20, 10, 3, 18, 1, 98, 10, 3, 18, 1, 99, 10, 3, 18, 1, 104, 10, 3, 18, 1, 119, 90, 15, 10, 1, 115, 18, 10, 10, 8, 8, 7, 18, 4, 10, 2, 8, 4, 98, 31, 10, 1, 121, 18, 26, 10, 24, 8, 1, 18, 20, 10, 3, 18, 1, 98, 10, 3, 18, 1, 99, 10, 3, 18, 1, 104, 10, 3, 18, 1, 119, 66, 2, 16, 21],\n this.session_options,\n 'y',\n );\n }\n return this._nearest_interpolate_4d;\n }\n static get bilinear_interpolate_4d() {\n if (!this._bilinear_interpolate_4d) {\n this._bilinear_interpolate_4d = wrap(\n [8, 9, 18, 0, 58, 128, 1, 10, 40, 10, 1, 120, 10, 0, 10, 0, 10, 1, 115, 18, 1, 121, 34, 6, 82, 101, 115, 105, 122, 101, 42, 17, 10, 4, 109, 111, 100, 101, 34, 6, 108, 105, 110, 101, 97, 114, 160, 1, 3, 18, 1, 114, 90, 31, 10, 1, 120, 18, 26, 10, 24, 8, 1, 18, 20, 10, 3, 18, 1, 98, 10, 3, 18, 1, 99, 10, 3, 18, 1, 104, 10, 3, 18, 1, 119, 90, 15, 10, 1, 115, 18, 10, 10, 8, 8, 7, 18, 4, 10, 2, 8, 4, 98, 31, 10, 1, 121, 18, 26, 10, 24, 8, 1, 18, 20, 10, 3, 18, 1, 98, 10, 3, 18, 1, 99, 10, 3, 18, 1, 104, 10, 3, 18, 1, 119, 66, 2, 16, 20],\n this.session_options,\n 'y',\n );\n }\n return this._bilinear_interpolate_4d;\n }\n\n static get bicubic_interpolate_4d() {\n if (!this._bicubic_interpolate_4d) {\n this._bicubic_interpolate_4d = wrap(\n [8, 9, 18, 0, 58, 127, 10, 39, 10, 1, 120, 10, 0, 10, 0, 10, 1, 115, 18, 1, 121, 34, 6, 82, 101, 115, 105, 122, 101, 42, 16, 10, 4, 109, 111, 100, 101, 34, 5, 99, 117, 98, 105, 99, 160, 1, 3, 18, 1, 114, 90, 31, 10, 1, 120, 18, 26, 10, 24, 8, 1, 18, 20, 10, 3, 18, 1, 98, 10, 3, 18, 1, 99, 10, 3, 18, 1, 104, 10, 3, 18, 1, 119, 90, 15, 10, 1, 115, 18, 10, 10, 8, 8, 7, 18, 4, 10, 2, 8, 4, 98, 31, 10, 1, 121, 18, 26, 10, 24, 8, 1, 18, 20, 10, 3, 18, 1, 98, 10, 3, 18, 1, 99, 10, 3, 18, 1, 104, 10, 3, 18, 1, 119, 66, 2, 16, 20],\n this.session_options,\n 'y',\n );\n }\n return this._bicubic_interpolate_4d;\n }\n\n static get matmul() {\n if (!this._matmul) {\n this._matmul = wrap(\n [8, 9, 18, 0, 58, 55, 10, 17, 10, 1, 97, 10, 1, 98, 18, 1, 99, 34, 6, 77, 97, 116, 77, 117, 108, 18, 1, 114, 90, 9, 10, 1, 97, 18, 4, 10, 2, 8, 1, 90, 9, 10, 1, 98, 18, 4, 10, 2, 8, 1, 98, 9, 10, 1, 99, 18, 4, 10, 2, 8, 1, 66, 2, 16, 20],\n this.session_options,\n 'c',\n );\n }\n return this._matmul;\n }\n\n static get stft() {\n if (!this._stft) {\n this._stft = wrap(\n [8, 7, 18, 0, 58, 148, 1, 10, 38, 10, 1, 115, 10, 1, 106, 10, 1, 119, 10, 1, 108, 18, 1, 111, 34, 4, 83, 84, 70, 84, 42, 15, 10, 8, 111, 110, 101, 115, 105, 100, 101, 100, 24, 1, 160, 1, 2, 18, 1, 115, 90, 26, 10, 1, 115, 18, 21, 10, 19, 8, 1, 18, 15, 10, 3, 18, 1, 98, 10, 3, 18, 1, 115, 10, 3, 18, 1, 99, 90, 11, 10, 1, 106, 18, 6, 10, 4, 8, 7, 18, 0, 90, 16, 10, 1, 119, 18, 11, 10, 9, 8, 1, 18, 5, 10, 3, 18, 1, 119, 90, 11, 10, 1, 108, 18, 6, 10, 4, 8, 7, 18, 0, 98, 31, 10, 1, 111, 18, 26, 10, 24, 8, 1, 18, 20, 10, 3, 18, 1, 98, 10, 3, 18, 1, 102, 10, 3, 18, 1, 100, 10, 3, 18, 1, 99, 66, 2, 16, 17],\n this.session_options,\n 'o',\n )\n }\n return this._stft;\n }\n\n static get rfft() {\n if (!this._rfft) {\n this._rfft = wrap(\n [8, 9, 18, 0, 58, 97, 10, 33, 10, 1, 120, 10, 0, 10, 1, 97, 18, 1, 121, 34, 3, 68, 70, 84, 42, 15, 10, 8, 111, 110, 101, 115, 105, 100, 101, 100, 24, 1, 160, 1, 2, 18, 1, 100, 90, 21, 10, 1, 120, 18, 16, 10, 14, 8, 1, 18, 10, 10, 3, 18, 1, 115, 10, 3, 18, 1, 99, 90, 11, 10, 1, 97, 18, 6, 10, 4, 8, 7, 18, 0, 98, 21, 10, 1, 121, 18, 16, 10, 14, 8, 1, 18, 10, 10, 3, 18, 1, 115, 10, 3, 18, 1, 99, 66, 2, 16, 20],\n this.session_options,\n 'y',\n )\n }\n return this._rfft;\n }\n\n static get top_k() {\n if (!this._top_k) {\n this._top_k = wrap(\n [8, 10, 18, 0, 58, 73, 10, 18, 10, 1, 120, 10, 1, 107, 18, 1, 118, 18, 1, 105, 34, 4, 84, 111, 112, 75, 18, 1, 116, 90, 9, 10, 1, 120, 18, 4, 10, 2, 8, 1, 90, 15, 10, 1, 107, 18, 10, 10, 8, 8, 7, 18, 4, 10, 2, 8, 1, 98, 9, 10, 1, 118, 18, 4, 10, 2, 8, 1, 98, 9, 10, 1, 105, 18, 4, 10, 2, 8, 7, 66, 2, 16, 21],\n this.session_options,\n [ /* Values */ 'v', /* Indices */ 'i']\n )\n }\n return this._top_k;\n }\n\n static get slice() {\n if (!this._slice) {\n this._slice = wrap(\n [8, 7, 18, 0, 58, 96, 10, 25, 10, 1, 120, 10, 1, 115, 10, 1, 101, 10, 1, 97, 10, 1, 116, 18, 1, 121, 34, 5, 83, 108, 105, 99, 101, 18, 1, 114, 90, 9, 10, 1, 120, 18, 4, 10, 2, 8, 1, 90, 9, 10, 1, 115, 18, 4, 10, 2, 8, 7, 90, 9, 10, 1, 101, 18, 4, 10, 2, 8, 7, 90, 9, 10, 1, 97, 18, 4, 10, 2, 8, 7, 90, 9, 10, 1, 116, 18, 4, 10, 2, 8, 7, 98, 9, 10, 1, 121, 18, 4, 10, 2, 8, 1, 66, 2, 16, 13],\n this.session_options,\n 'y',\n )\n }\n return this._slice;\n }\n}\n", "/**\n * @file Pipelines provide a high-level, easy to use, API for running machine learning models.\n * \n * **Example:** Instantiate pipeline using the `pipeline` function.\n * ```javascript\n * import { pipeline } from '@huggingface/transformers';\n * \n * const classifier = await pipeline('sentiment-analysis');\n * const output = await classifier('I love transformers!');\n * // [{'label': 'POSITIVE', 'score': 0.999817686}]\n * ```\n * \n * @module pipelines\n */\n\nimport {\n AutoTokenizer,\n PreTrainedTokenizer,\n} from './tokenizers.js';\nimport {\n AutoModel,\n AutoModelForSequenceClassification,\n AutoModelForAudioClassification,\n AutoModelForTokenClassification,\n AutoModelForQuestionAnswering,\n AutoModelForMaskedLM,\n AutoModelForSeq2SeqLM,\n AutoModelForSpeechSeq2Seq,\n AutoModelForTextToWaveform,\n AutoModelForTextToSpectrogram,\n AutoModelForCTC,\n AutoModelForCausalLM,\n AutoModelForVision2Seq,\n AutoModelForImageClassification,\n AutoModelForImageSegmentation,\n AutoModelForSemanticSegmentation,\n AutoModelForUniversalSegmentation,\n AutoModelForObjectDetection,\n AutoModelForZeroShotObjectDetection,\n AutoModelForDocumentQuestionAnswering,\n AutoModelForImageToImage,\n AutoModelForDepthEstimation,\n AutoModelForImageFeatureExtraction,\n PreTrainedModel,\n} from './models.js';\nimport {\n AutoProcessor,\n} from './models/auto/processing_auto.js';\nimport {\n Processor,\n} from './base/processing_utils.js';\n\nimport {\n Callable,\n} from './utils/generic.js';\n\nimport {\n dispatchCallback,\n product,\n} from './utils/core.js';\nimport {\n softmax,\n max,\n round,\n} from './utils/maths.js';\nimport {\n read_audio,\n RawAudio\n} from './utils/audio.js';\nimport {\n Tensor,\n mean_pooling,\n interpolate_4d,\n quantize_embeddings,\n topk,\n} from './utils/tensor.js';\nimport { RawImage } from './utils/image.js';\n\n\n/**\n * @typedef {string | RawImage | URL} ImageInput\n * @typedef {ImageInput|ImageInput[]} ImagePipelineInputs\n */\n\n/**\n * Prepare images for further tasks.\n * @param {ImagePipelineInputs} images images to prepare.\n * @returns {Promise<RawImage[]>} returns processed images.\n * @private\n */\nasync function prepareImages(images) {\n if (!Array.isArray(images)) {\n images = [images];\n }\n\n // Possibly convert any non-images to images\n return await Promise.all(images.map(x => RawImage.read(x)));\n}\n\n/**\n * @typedef {string | URL | Float32Array | Float64Array} AudioInput\n * @typedef {AudioInput|AudioInput[]} AudioPipelineInputs\n */\n\n/**\n * Prepare audios for further tasks.\n * @param {AudioPipelineInputs} audios audios to prepare.\n * @param {number} sampling_rate sampling rate of the audios.\n * @returns {Promise<Float32Array[]>} The preprocessed audio data.\n * @private\n */\nasync function prepareAudios(audios, sampling_rate) {\n if (!Array.isArray(audios)) {\n audios = [audios];\n }\n\n return await Promise.all(audios.map(x => {\n if (typeof x === 'string' || x instanceof URL) {\n return read_audio(x, sampling_rate);\n } else if (x instanceof Float64Array) {\n return new Float32Array(x);\n }\n return x;\n }));\n}\n\n/**\n * @typedef {Object} BoundingBox\n * @property {number} xmin The minimum x coordinate of the bounding box.\n * @property {number} ymin The minimum y coordinate of the bounding box.\n * @property {number} xmax The maximum x coordinate of the bounding box.\n * @property {number} ymax The maximum y coordinate of the bounding box.\n */\n\n/**\n * Helper function to convert list [xmin, xmax, ymin, ymax] into object { \"xmin\": xmin, ... }\n * @param {number[]} box The bounding box as a list.\n * @param {boolean} asInteger Whether to cast to integers.\n * @returns {BoundingBox} The bounding box as an object.\n * @private\n */\nfunction get_bounding_box(box, asInteger) {\n if (asInteger) {\n box = box.map(x => x | 0);\n }\n const [xmin, ymin, xmax, ymax] = box;\n\n return { xmin, ymin, xmax, ymax };\n}\n\n\n/**\n * @callback DisposeType Disposes the item.\n * @returns {Promise<void>} A promise that resolves when the item has been disposed.\n * \n * @typedef {Object} Disposable\n * @property {DisposeType} dispose A promise that resolves when the pipeline has been disposed.\n */\n\n/**\n * The Pipeline class is the class from which all pipelines inherit.\n * Refer to this class for methods shared across different pipelines.\n */\nexport class Pipeline extends Callable {\n /**\n * Create a new Pipeline.\n * @param {Object} options An object containing the following properties:\n * @param {string} [options.task] The task of the pipeline. Useful for specifying subtasks.\n * @param {PreTrainedModel} [options.model] The model used by the pipeline.\n * @param {PreTrainedTokenizer} [options.tokenizer=null] The tokenizer used by the pipeline (if any).\n * @param {Processor} [options.processor=null] The processor used by the pipeline (if any).\n */\n constructor({ task, model, tokenizer = null, processor = null }) {\n super();\n this.task = task;\n this.model = model;\n this.tokenizer = tokenizer;\n this.processor = processor;\n }\n\n /** @type {DisposeType} */\n async dispose() {\n await this.model.dispose();\n }\n}\n\n/**\n * @typedef {Object} ModelTokenizerConstructorArgs\n * @property {string} task The task of the pipeline. Useful for specifying subtasks.\n * @property {PreTrainedModel} model The model used by the pipeline.\n * @property {PreTrainedTokenizer} tokenizer The tokenizer used by the pipeline.\n * \n * @typedef {ModelTokenizerConstructorArgs} TextPipelineConstructorArgs An object used to instantiate a text-based pipeline.\n */\n\n/**\n * @typedef {Object} ModelProcessorConstructorArgs\n * @property {string} task The task of the pipeline. Useful for specifying subtasks.\n * @property {PreTrainedModel} model The model used by the pipeline.\n * @property {Processor} processor The processor used by the pipeline.\n * \n * @typedef {ModelProcessorConstructorArgs} AudioPipelineConstructorArgs An object used to instantiate an audio-based pipeline.\n * @typedef {ModelProcessorConstructorArgs} ImagePipelineConstructorArgs An object used to instantiate an image-based pipeline.\n */\n\n\n/**\n * @typedef {Object} ModelTokenizerProcessorConstructorArgs\n * @property {string} task The task of the pipeline. Useful for specifying subtasks.\n * @property {PreTrainedModel} model The model used by the pipeline.\n * @property {PreTrainedTokenizer} tokenizer The tokenizer used by the pipeline.\n * @property {Processor} processor The processor used by the pipeline.\n * \n * @typedef {ModelTokenizerProcessorConstructorArgs} TextAudioPipelineConstructorArgs An object used to instantiate a text- and audio-based pipeline.\n * @typedef {ModelTokenizerProcessorConstructorArgs} TextImagePipelineConstructorArgs An object used to instantiate a text- and image-based pipeline.\n */\n\n/**\n * @typedef {Object} TextClassificationSingle\n * @property {string} label The label predicted.\n * @property {number} score The corresponding probability.\n * @typedef {TextClassificationSingle[]} TextClassificationOutput\n * \n * @typedef {Object} TextClassificationPipelineOptions Parameters specific to text classification pipelines.\n * @property {number} [top_k=1] The number of top predictions to be returned.\n * \n * @callback TextClassificationPipelineCallback Classify the text(s) given as inputs.\n * @param {string|string[]} texts The input text(s) to be classified.\n * @param {TextClassificationPipelineOptions} [options] The options to use for text classification.\n * @returns {Promise<TextClassificationOutput|TextClassificationOutput[]>} An array or object containing the predicted labels and scores.\n * \n * @typedef {TextPipelineConstructorArgs & TextClassificationPipelineCallback & Disposable} TextClassificationPipelineType\n */\n\n/**\n * Text classification pipeline using any `ModelForSequenceClassification`.\n *\n * **Example:** Sentiment-analysis w/ `Xenova/distilbert-base-uncased-finetuned-sst-2-english`.\n * ```javascript\n * const classifier = await pipeline('sentiment-analysis', 'Xenova/distilbert-base-uncased-finetuned-sst-2-english');\n * const output = await classifier('I love transformers!');\n * // [{ label: 'POSITIVE', score: 0.999788761138916 }]\n * ```\n * \n * **Example:** Multilingual sentiment-analysis w/ `Xenova/bert-base-multilingual-uncased-sentiment` (and return top 5 classes).\n * ```javascript\n * const classifier = await pipeline('sentiment-analysis', 'Xenova/bert-base-multilingual-uncased-sentiment');\n * const output = await classifier('Le meilleur film de tous les temps.', { top_k: 5 });\n * // [\n * // { label: '5 stars', score: 0.9610759615898132 },\n * // { label: '4 stars', score: 0.03323351591825485 },\n * // { label: '3 stars', score: 0.0036155181005597115 },\n * // { label: '1 star', score: 0.0011325967498123646 },\n * // { label: '2 stars', score: 0.0009423971059732139 }\n * // ]\n * ```\n * \n * **Example:** Toxic comment classification w/ `Xenova/toxic-bert` (and return all classes).\n * ```javascript\n * const classifier = await pipeline('text-classification', 'Xenova/toxic-bert');\n * const output = await classifier('I hate you!', { top_k: null });\n * // [\n * // { label: 'toxic', score: 0.9593140482902527 },\n * // { label: 'insult', score: 0.16187334060668945 },\n * // { label: 'obscene', score: 0.03452680632472038 },\n * // { label: 'identity_hate', score: 0.0223250575363636 },\n * // { label: 'threat', score: 0.019197041168808937 },\n * // { label: 'severe_toxic', score: 0.005651099607348442 }\n * // ]\n * ```\n */\nexport class TextClassificationPipeline extends (/** @type {new (options: TextPipelineConstructorArgs) => TextClassificationPipelineType} */ (Pipeline)) {\n\n /**\n * Create a new TextClassificationPipeline.\n * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n\n /** @type {TextClassificationPipelineCallback} */\n async _call(texts, {\n top_k = 1\n } = {}) {\n\n // Run tokenization\n const model_inputs = this.tokenizer(texts, {\n padding: true,\n truncation: true,\n });\n\n // Run model\n const outputs = await this.model(model_inputs)\n\n // TODO: Use softmax tensor function\n const function_to_apply =\n // @ts-expect-error TS2339\n this.model.config.problem_type === 'multi_label_classification'\n ? batch => batch.sigmoid()\n : batch => new Tensor(\n 'float32',\n softmax(batch.data),\n batch.dims,\n ); // single_label_classification (default)\n\n // @ts-expect-error TS2339\n const id2label = this.model.config.id2label;\n\n const toReturn = [];\n for (const batch of outputs.logits) {\n const output = function_to_apply(batch);\n\n const scores = await topk(output, top_k);\n\n const values = scores[0].tolist();\n const indices = scores[1].tolist();\n const vals = indices.map((x, i) => ({\n label: id2label ? id2label[x] : `LABEL_${x}`,\n score: values[i],\n }));\n if (top_k === 1) {\n toReturn.push(...vals);\n } else {\n toReturn.push(vals);\n }\n }\n\n return Array.isArray(texts) || top_k === 1 ? /** @type {TextClassificationOutput} */ (toReturn) : /** @type {TextClassificationOutput[]} */ (toReturn)[0];\n }\n}\n\n/**\n * @typedef {Object} TokenClassificationSingle\n * @property {string} word The token/word classified. This is obtained by decoding the selected tokens.\n * @property {number} score The corresponding probability for `entity`.\n * @property {string} entity The entity predicted for that token/word.\n * @property {number} index The index of the corresponding token in the sentence.\n * @property {number} [start] The index of the start of the corresponding entity in the sentence.\n * @property {number} [end] The index of the end of the corresponding entity in the sentence.\n * @typedef {TokenClassificationSingle[]} TokenClassificationOutput\n * \n * @typedef {Object} TokenClassificationPipelineOptions Parameters specific to token classification pipelines.\n * @property {string[]} [ignore_labels] A list of labels to ignore.\n * \n * @callback TokenClassificationPipelineCallback Classify each token of the text(s) given as inputs.\n * @param {string|string[]} texts One or several texts (or one list of texts) for token classification.\n * @param {TokenClassificationPipelineOptions} [options] The options to use for token classification.\n * @returns {Promise<TokenClassificationOutput|TokenClassificationOutput[]>} The result.\n * \n * @typedef {TextPipelineConstructorArgs & TokenClassificationPipelineCallback & Disposable} TokenClassificationPipelineType\n */\n\n/**\n * Named Entity Recognition pipeline using any `ModelForTokenClassification`.\n * \n * **Example:** Perform named entity recognition with `Xenova/bert-base-NER`.\n * ```javascript\n * const classifier = await pipeline('token-classification', 'Xenova/bert-base-NER');\n * const output = await classifier('My name is Sarah and I live in London');\n * // [\n * // { entity: 'B-PER', score: 0.9980202913284302, index: 4, word: 'Sarah' },\n * // { entity: 'B-LOC', score: 0.9994474053382874, index: 9, word: 'London' }\n * // ]\n * ```\n * \n * **Example:** Perform named entity recognition with `Xenova/bert-base-NER` (and return all labels).\n * ```javascript\n * const classifier = await pipeline('token-classification', 'Xenova/bert-base-NER');\n * const output = await classifier('Sarah lives in the United States of America', { ignore_labels: [] });\n * // [\n * // { entity: 'B-PER', score: 0.9966587424278259, index: 1, word: 'Sarah' },\n * // { entity: 'O', score: 0.9987385869026184, index: 2, word: 'lives' },\n * // { entity: 'O', score: 0.9990072846412659, index: 3, word: 'in' },\n * // { entity: 'O', score: 0.9988298416137695, index: 4, word: 'the' },\n * // { entity: 'B-LOC', score: 0.9995510578155518, index: 5, word: 'United' },\n * // { entity: 'I-LOC', score: 0.9990395307540894, index: 6, word: 'States' },\n * // { entity: 'I-LOC', score: 0.9986724853515625, index: 7, word: 'of' },\n * // { entity: 'I-LOC', score: 0.9975294470787048, index: 8, word: 'America' }\n * // ]\n * ```\n */\nexport class TokenClassificationPipeline extends (/** @type {new (options: TextPipelineConstructorArgs) => TokenClassificationPipelineType} */ (Pipeline)) {\n\n /**\n * Create a new TokenClassificationPipeline.\n * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n\n /** @type {TokenClassificationPipelineCallback} */\n async _call(texts, {\n ignore_labels = ['O'],\n } = {}) {\n\n const isBatched = Array.isArray(texts);\n\n // Run tokenization\n const model_inputs = this.tokenizer(isBatched ? texts : [texts], {\n padding: true,\n truncation: true,\n });\n\n // Run model\n const outputs = await this.model(model_inputs)\n\n const logits = outputs.logits;\n // @ts-expect-error TS2339\n const id2label = this.model.config.id2label;\n\n const toReturn = [];\n for (let i = 0; i < logits.dims[0]; ++i) {\n const ids = model_inputs.input_ids[i];\n const batch = logits[i];\n\n // List of tokens that aren't ignored\n const tokens = [];\n for (let j = 0; j < batch.dims[0]; ++j) {\n const tokenData = batch[j];\n const topScoreIndex = max(tokenData.data)[1];\n\n const entity = id2label ? id2label[topScoreIndex] : `LABEL_${topScoreIndex}`;\n if (ignore_labels.includes(entity)) {\n // We predicted a token that should be ignored. So, we skip it.\n continue;\n }\n\n // TODO add option to keep special tokens?\n const word = this.tokenizer.decode([ids[j].item()], { skip_special_tokens: true });\n if (word === '') {\n // Was a special token. So, we skip it.\n continue;\n }\n\n const scores = softmax(tokenData.data);\n\n tokens.push({\n entity: entity,\n score: scores[topScoreIndex],\n index: j,\n word: word,\n\n // TODO: Add support for start and end\n // start: null,\n // end: null,\n });\n }\n toReturn.push(tokens);\n }\n return isBatched ? toReturn : toReturn[0];\n }\n}\n\n/**\n * @typedef {Object} QuestionAnsweringOutput\n * @property {number} score The probability associated to the answer.\n * @property {number} [start] The character start index of the answer (in the tokenized version of the input).\n * @property {number} [end] The character end index of the answer (in the tokenized version of the input).\n * @property {string} answer The answer to the question.\n * \n * @typedef {Object} QuestionAnsweringPipelineOptions Parameters specific to question answering pipelines.\n * @property {number} [top_k=1] The number of top answer predictions to be returned.\n * \n * @callback QuestionAnsweringPipelineCallback Answer the question(s) given as inputs by using the context(s).\n * @param {string|string[]} question One or several question(s) (must be used in conjunction with the `context` argument).\n * @param {string|string[]} context One or several context(s) associated with the question(s) (must be used in conjunction with the `question` argument).\n * @param {QuestionAnsweringPipelineOptions} [options] The options to use for question answering.\n * @returns {Promise<QuestionAnsweringOutput|QuestionAnsweringOutput[]>} An array or object containing the predicted answers and scores.\n * \n * @typedef {TextPipelineConstructorArgs & QuestionAnsweringPipelineCallback & Disposable} QuestionAnsweringPipelineType\n */\n\n/**\n * Question Answering pipeline using any `ModelForQuestionAnswering`.\n * \n * **Example:** Run question answering with `Xenova/distilbert-base-uncased-distilled-squad`.\n * ```javascript\n * const answerer = await pipeline('question-answering', 'Xenova/distilbert-base-uncased-distilled-squad');\n * const question = 'Who was Jim Henson?';\n * const context = 'Jim Henson was a nice puppet.';\n * const output = await answerer(question, context);\n * // {\n * // answer: \"a nice puppet\",\n * // score: 0.5768911502526741\n * // }\n * ```\n */\nexport class QuestionAnsweringPipeline extends (/** @type {new (options: TextPipelineConstructorArgs) => QuestionAnsweringPipelineType} */ (Pipeline)) {\n\n /**\n * Create a new QuestionAnsweringPipeline.\n * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n\n /** @type {QuestionAnsweringPipelineCallback} */\n async _call(question, context, {\n top_k = 1\n } = {}) {\n\n // Run tokenization\n const inputs = this.tokenizer(question, {\n text_pair: context,\n padding: true,\n truncation: true,\n });\n\n const { start_logits, end_logits } = await this.model(inputs);\n const input_ids = inputs.input_ids.tolist();\n const attention_mask = inputs.attention_mask.tolist();\n\n // TODO: add support for `return_special_tokens_mask`\n const special_tokens = this.tokenizer.all_special_ids;\n\n /** @type {QuestionAnsweringOutput[]} */\n const toReturn = [];\n for (let j = 0; j < start_logits.dims[0]; ++j) {\n const ids = input_ids[j];\n const sepIndex = ids.findIndex(x =>\n // We use == to match bigint with number\n // @ts-ignore\n x == this.tokenizer.sep_token_id\n );\n\n\n const valid_mask = attention_mask[j].map((y, ix) => (\n y == 1\n && (\n ix === 0 // is cls_token\n || (\n ix > sepIndex\n && special_tokens.findIndex(x => x == ids[ix]) === -1 // token is not a special token (special_tokens_mask == 0)\n )\n )\n ));\n\n const start = start_logits[j].tolist();\n const end = end_logits[j].tolist();\n\n // Now, we mask out values that can't be in the answer\n // NOTE: We keep the cls_token unmasked (some models use it to indicate unanswerable questions)\n for (let i = 1; i < start.length; ++i) {\n if (\n attention_mask[j] == 0 // is part of padding\n || i <= sepIndex // is before the sep_token\n || special_tokens.findIndex(x => x == ids[i]) !== -1 // Is a special token\n ) {\n // Make sure non-context indexes in the tensor cannot contribute to the softmax\n start[i] = -Infinity;\n end[i] = -Infinity;\n }\n }\n\n // Normalize logits and spans to retrieve the answer\n const start_scores = softmax(start).map((x, i) => [x, i]);\n const end_scores = softmax(end).map((x, i) => [x, i]);\n\n // Mask CLS\n start_scores[0][0] = 0;\n end_scores[0][0] = 0;\n\n // Generate all valid spans and select best ones\n const options = product(start_scores, end_scores)\n .filter(x => x[0][1] <= x[1][1])\n .map(x => [x[0][1], x[1][1], x[0][0] * x[1][0]])\n .sort((a, b) => b[2] - a[2]);\n\n for (let k = 0; k < Math.min(options.length, top_k); ++k) {\n const [start, end, score] = options[k];\n\n const answer_tokens = ids.slice(start, end + 1)\n\n const answer = this.tokenizer.decode(answer_tokens, {\n skip_special_tokens: true,\n });\n\n // TODO add start and end?\n // NOTE: HF returns character index\n toReturn.push({\n answer, score\n });\n }\n }\n\n // Mimic HF's return type based on top_k\n return (top_k === 1) ? toReturn[0] : toReturn;\n }\n}\n\n\n/**\n * @typedef {Object} FillMaskSingle\n * @property {string} sequence The corresponding input with the mask token prediction.\n * @property {number} score The corresponding probability.\n * @property {number} token The predicted token id (to replace the masked one).\n * @property {string} token_str The predicted token (to replace the masked one).\n * @typedef {FillMaskSingle[]} FillMaskOutput\n * \n * @typedef {Object} FillMaskPipelineOptions Parameters specific to fill mask pipelines.\n * @property {number} [top_k=5] When passed, overrides the number of predictions to return.\n * \n * @callback FillMaskPipelineCallback Fill the masked token in the text(s) given as inputs.\n * @param {string|string[]} texts One or several texts (or one list of prompts) with masked tokens.\n * @param {FillMaskPipelineOptions} [options] The options to use for masked language modelling.\n * @returns {Promise<FillMaskOutput|FillMaskOutput[]>} An array of objects containing the score, predicted token, predicted token string,\n * and the sequence with the predicted token filled in, or an array of such arrays (one for each input text).\n * If only one input text is given, the output will be an array of objects.\n * @throws {Error} When the mask token is not found in the input text.\n * \n * @typedef {TextPipelineConstructorArgs & FillMaskPipelineCallback & Disposable} FillMaskPipelineType\n */\n\n/**\n * Masked language modeling prediction pipeline using any `ModelWithLMHead`.\n * \n * **Example:** Perform masked language modelling (a.k.a. \"fill-mask\") with `Xenova/bert-base-uncased`.\n * ```javascript\n * const unmasker = await pipeline('fill-mask', 'Xenova/bert-base-cased');\n * const output = await unmasker('The goal of life is [MASK].');\n * // [\n * // { token_str: 'survival', score: 0.06137419492006302, token: 8115, sequence: 'The goal of life is survival.' },\n * // { token_str: 'love', score: 0.03902450203895569, token: 1567, sequence: 'The goal of life is love.' },\n * // { token_str: 'happiness', score: 0.03253183513879776, token: 9266, sequence: 'The goal of life is happiness.' },\n * // { token_str: 'freedom', score: 0.018736306577920914, token: 4438, sequence: 'The goal of life is freedom.' },\n * // { token_str: 'life', score: 0.01859794743359089, token: 1297, sequence: 'The goal of life is life.' }\n * // ]\n * ```\n * \n * **Example:** Perform masked language modelling (a.k.a. \"fill-mask\") with `Xenova/bert-base-cased` (and return top result).\n * ```javascript\n * const unmasker = await pipeline('fill-mask', 'Xenova/bert-base-cased');\n * const output = await unmasker('The Milky Way is a [MASK] galaxy.', { top_k: 1 });\n * // [{ token_str: 'spiral', score: 0.6299987435340881, token: 14061, sequence: 'The Milky Way is a spiral galaxy.' }]\n * ```\n */\nexport class FillMaskPipeline extends (/** @type {new (options: TextPipelineConstructorArgs) => FillMaskPipelineType} */ (Pipeline)) {\n\n /**\n * Create a new FillMaskPipeline.\n * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n\n /** @type {FillMaskPipelineCallback} */\n async _call(texts, {\n top_k = 5\n } = {}) {\n\n // Run tokenization\n const model_inputs = this.tokenizer(texts, {\n padding: true,\n truncation: true,\n });\n\n // Run model\n const { logits } = await this.model(model_inputs)\n\n const toReturn = [];\n\n /** @type {bigint[][]} */\n const input_ids = model_inputs.input_ids.tolist();\n for (let i = 0; i < input_ids.length; ++i) {\n const ids = input_ids[i];\n const mask_token_index = ids.findIndex(x =>\n // We use == to match bigint with number\n // @ts-ignore\n x == this.tokenizer.mask_token_id\n );\n if (mask_token_index === -1) {\n throw Error(`Mask token (${this.tokenizer.mask_token}) not found in text.`)\n }\n const itemLogits = logits[i][mask_token_index];\n\n const scores = await topk(new Tensor(\n 'float32',\n softmax(itemLogits.data),\n itemLogits.dims,\n ), top_k);\n const values = scores[0].tolist();\n const indices = scores[1].tolist();\n\n toReturn.push(indices.map((x, i) => {\n const sequence = ids.slice();\n sequence[mask_token_index] = x;\n\n return {\n score: values[i],\n token: Number(x),\n token_str: this.tokenizer.decode([x]),\n sequence: this.tokenizer.decode(sequence, { skip_special_tokens: true }),\n }\n }));\n }\n return Array.isArray(texts) ? toReturn : toReturn[0];\n }\n}\n\n\n/**\n * @typedef {Object} Text2TextGenerationSingle\n * @property {string} generated_text The generated text.\n * @typedef {Text2TextGenerationSingle[]} Text2TextGenerationOutput\n * \n * @callback Text2TextGenerationPipelineCallback Generate the output text(s) using text(s) given as inputs.\n * @param {string|string[]} texts Input text for the encoder.\n * @param {Partial<import('./generation/configuration_utils.js').GenerationConfig>} [options] Additional keyword arguments to pass along to the generate method of the model.\n * @returns {Promise<Text2TextGenerationOutput|Text2TextGenerationOutput[]>}\n * \n * @typedef {TextPipelineConstructorArgs & Text2TextGenerationPipelineCallback & Disposable} Text2TextGenerationPipelineType\n */\n\n/**\n * Text2TextGenerationPipeline class for generating text using a model that performs text-to-text generation tasks.\n * \n * **Example:** Text-to-text generation w/ `Xenova/LaMini-Flan-T5-783M`.\n * ```javascript\n * const generator = await pipeline('text2text-generation', 'Xenova/LaMini-Flan-T5-783M');\n * const output = await generator('how can I become more healthy?', {\n * max_new_tokens: 100,\n * });\n * // [{ generated_text: \"To become more healthy, you can: 1. Eat a balanced diet with plenty of fruits, vegetables, whole grains, lean proteins, and healthy fats. 2. Stay hydrated by drinking plenty of water. 3. Get enough sleep and manage stress levels. 4. Avoid smoking and excessive alcohol consumption. 5. Regularly exercise and maintain a healthy weight. 6. Practice good hygiene and sanitation. 7. Seek medical attention if you experience any health issues.\" }]\n * ```\n */\nexport class Text2TextGenerationPipeline extends (/** @type {new (options: TextPipelineConstructorArgs) => Text2TextGenerationPipelineType} */ (Pipeline)) {\n /** @type {'generated_text'} */\n _key = 'generated_text';\n\n /**\n * Create a new Text2TextGenerationPipeline.\n * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n\n /** @type {Text2TextGenerationPipelineCallback} */\n async _call(texts, generate_kwargs = {}) {\n if (!Array.isArray(texts)) {\n texts = [texts];\n }\n\n\n // Add global prefix, if present\n // @ts-expect-error TS2339\n if (this.model.config.prefix) {\n // @ts-expect-error TS2339\n texts = texts.map(x => this.model.config.prefix + x)\n }\n\n // Handle task specific params:\n // @ts-expect-error TS2339\n const task_specific_params = this.model.config.task_specific_params\n if (task_specific_params && task_specific_params[this.task]) {\n // Add prefixes, if present\n if (task_specific_params[this.task].prefix) {\n texts = texts.map(x => task_specific_params[this.task].prefix + x)\n }\n\n // TODO update generation config\n }\n\n const tokenizer = this.tokenizer;\n const tokenizer_options = {\n padding: true,\n truncation: true,\n }\n let inputs;\n if (this instanceof TranslationPipeline && '_build_translation_inputs' in tokenizer) {\n // TODO: move to Translation pipeline?\n // Currently put here to avoid code duplication\n // @ts-ignore\n inputs = tokenizer._build_translation_inputs(texts, tokenizer_options, generate_kwargs);\n\n } else {\n inputs = tokenizer(texts, tokenizer_options);\n }\n\n const outputTokenIds = await this.model.generate({ ...inputs, ...generate_kwargs });\n return tokenizer.batch_decode(/** @type {Tensor} */(outputTokenIds), {\n skip_special_tokens: true,\n }).map(text => ({ [this._key]: text }));\n }\n}\n\n\n/**\n * @typedef {Object} SummarizationSingle\n * @property {string} summary_text The summary text.\n * @typedef {SummarizationSingle[]} SummarizationOutput\n * \n * @callback SummarizationPipelineCallback Summarize the text(s) given as inputs.\n * @param {string|string[]} texts One or several articles (or one list of articles) to summarize.\n * @param {import('./generation/configuration_utils.js').GenerationConfig} [options] Additional keyword arguments to pass along to the generate method of the model.\n * @returns {Promise<SummarizationOutput|SummarizationOutput[]>}\n * \n * @typedef {TextPipelineConstructorArgs & SummarizationPipelineCallback & Disposable} SummarizationPipelineType\n */\n\n/**\n * A pipeline for summarization tasks, inheriting from Text2TextGenerationPipeline.\n * \n * **Example:** Summarization w/ `Xenova/distilbart-cnn-6-6`.\n * ```javascript\n * const generator = await pipeline('summarization', 'Xenova/distilbart-cnn-6-6');\n * const text = 'The tower is 324 metres (1,063 ft) tall, about the same height as an 81-storey building, ' +\n * 'and the tallest structure in Paris. Its base is square, measuring 125 metres (410 ft) on each side. ' +\n * 'During its construction, the Eiffel Tower surpassed the Washington Monument to become the tallest ' +\n * 'man-made structure in the world, a title it held for 41 years until the Chrysler Building in New ' +\n * 'York City was finished in 1930. It was the first structure to reach a height of 300 metres. Due to ' +\n * 'the addition of a broadcasting aerial at the top of the tower in 1957, it is now taller than the ' +\n * 'Chrysler Building by 5.2 metres (17 ft). Excluding transmitters, the Eiffel Tower is the second ' +\n * 'tallest free-standing structure in France after the Millau Viaduct.';\n * const output = await generator(text, {\n * max_new_tokens: 100,\n * });\n * // [{ summary_text: ' The Eiffel Tower is about the same height as an 81-storey building and the tallest structure in Paris. It is the second tallest free-standing structure in France after the Millau Viaduct.' }]\n * ```\n */\nexport class SummarizationPipeline extends (/** @type {new (options: TextPipelineConstructorArgs) => SummarizationPipelineType} */ (/** @type {any} */ (Text2TextGenerationPipeline))) {\n /** @type {'summary_text'} */\n _key = 'summary_text';\n\n /**\n * Create a new SummarizationPipeline.\n * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n}\n\n\n/**\n * @typedef {Object} TranslationSingle\n * @property {string} translation_text The translated text.\n * @typedef {TranslationSingle[]} TranslationOutput\n * \n * @callback TranslationPipelineCallback Translate the text(s) given as inputs.\n * @param {string|string[]} texts Texts to be translated.\n * @param {import('./generation/configuration_utils.js').GenerationConfig} [options] Additional keyword arguments to pass along to the generate method of the model.\n * @returns {Promise<TranslationOutput|TranslationOutput[]>}\n * \n * @typedef {TextPipelineConstructorArgs & TranslationPipelineCallback & Disposable} TranslationPipelineType\n */\n\n/**\n * Translates text from one language to another.\n * \n * **Example:** Multilingual translation w/ `Xenova/nllb-200-distilled-600M`.\n * \n * See [here](https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200)\n * for the full list of languages and their corresponding codes.\n * \n * ```javascript\n * const translator = await pipeline('translation', 'Xenova/nllb-200-distilled-600M');\n * const output = await translator('जीवन à¤à¤• चॉकलेट बॉकà¥à¤¸ की तरह है।', {\n * src_lang: 'hin_Deva', // Hindi\n * tgt_lang: 'fra_Latn', // French\n * });\n * // [{ translation_text: 'La vie est comme une boîte à chocolat.' }]\n * ```\n * \n * **Example:** Multilingual translation w/ `Xenova/m2m100_418M`.\n * \n * See [here](https://huggingface.co/facebook/m2m100_418M#languages-covered)\n * for the full list of languages and their corresponding codes.\n * \n * ```javascript\n * const translator = await pipeline('translation', 'Xenova/m2m100_418M');\n * const output = await translator('生活就åƒä¸€ç›’巧克力。', {\n * src_lang: 'zh', // Chinese\n * tgt_lang: 'en', // English\n * });\n * // [{ translation_text: 'Life is like a box of chocolate.' }]\n * ```\n * \n * **Example:** Multilingual translation w/ `Xenova/mbart-large-50-many-to-many-mmt`.\n * \n * See [here](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt#languages-covered)\n * for the full list of languages and their corresponding codes.\n * \n * ```javascript\n * const translator = await pipeline('translation', 'Xenova/mbart-large-50-many-to-many-mmt');\n * const output = await translator('संयà¥à¤•à¥à¤¤ राषà¥à¤Ÿà¥à¤° के पà¥à¤°à¤®à¥à¤– का कहना है कि सीरिया में कोई सैनà¥à¤¯ समाधान नहीं है', {\n * src_lang: 'hi_IN', // Hindi\n * tgt_lang: 'fr_XX', // French\n * });\n * // [{ translation_text: 'Le chef des Nations affirme qu 'il n 'y a military solution in Syria.' }]\n * ```\n */\nexport class TranslationPipeline extends (/** @type {new (options: TextPipelineConstructorArgs) => TranslationPipelineType} */ (/** @type {any} */ (Text2TextGenerationPipeline))) {\n /** @type {'translation_text'} */\n _key = 'translation_text';\n\n /**\n * Create a new TranslationPipeline.\n * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n}\n\nfunction isChat(x) {\n return Array.isArray(x) && x.every(x => 'role' in x && 'content' in x);\n}\n\n/**\n * @typedef {import('./tokenizers.js').Message[]} Chat\n * \n * @typedef {Object} TextGenerationSingle\n * @property {string|Chat} generated_text The generated text.\n * @typedef {TextGenerationSingle[]} TextGenerationOutput\n * \n * @typedef {Object} TextGenerationSpecificParams Parameters specific to text-generation pipelines.\n * @property {boolean} [add_special_tokens] Whether or not to add special tokens when tokenizing the sequences.\n * @property {boolean} [return_full_text=true] If set to `false` only added text is returned, otherwise the full text is returned.\n * @typedef {import('./generation/configuration_utils.js').GenerationConfig & TextGenerationSpecificParams} TextGenerationConfig\n * \n * @callback TextGenerationPipelineCallback Complete the prompt(s) given as inputs.\n * @param {string|string[]|Chat|Chat[]} texts One or several prompts (or one list of prompts) to complete.\n * @param {Partial<TextGenerationConfig>} [options] Additional keyword arguments to pass along to the generate method of the model.\n * @returns {Promise<TextGenerationOutput|TextGenerationOutput[]>} An array or object containing the generated texts.\n * \n * @typedef {TextPipelineConstructorArgs & TextGenerationPipelineCallback & Disposable} TextGenerationPipelineType\n */\n\n/**\n * Language generation pipeline using any `ModelWithLMHead` or `ModelForCausalLM`.\n * This pipeline predicts the words that will follow a specified text prompt.\n * NOTE: For the full list of generation parameters, see [`GenerationConfig`](./utils/generation#module_utils/generation.GenerationConfig).\n * \n * **Example:** Text generation with `Xenova/distilgpt2` (default settings).\n * ```javascript\n * const generator = await pipeline('text-generation', 'Xenova/distilgpt2');\n * const text = 'I enjoy walking with my cute dog,';\n * const output = await generator(text);\n * // [{ generated_text: \"I enjoy walking with my cute dog, and I love to play with the other dogs.\" }]\n * ```\n * \n * **Example:** Text generation with `Xenova/distilgpt2` (custom settings).\n * ```javascript\n * const generator = await pipeline('text-generation', 'Xenova/distilgpt2');\n * const text = 'Once upon a time, there was';\n * const output = await generator(text, {\n * temperature: 2,\n * max_new_tokens: 10,\n * repetition_penalty: 1.5,\n * no_repeat_ngram_size: 2,\n * num_beams: 2,\n * num_return_sequences: 2,\n * });\n * // [{\n * // \"generated_text\": \"Once upon a time, there was an abundance of information about the history and activities that\"\n * // }, {\n * // \"generated_text\": \"Once upon a time, there was an abundance of information about the most important and influential\"\n * // }]\n * ```\n * \n * **Example:** Run code generation with `Xenova/codegen-350M-mono`.\n * ```javascript\n * const generator = await pipeline('text-generation', 'Xenova/codegen-350M-mono');\n * const text = 'def fib(n):';\n * const output = await generator(text, {\n * max_new_tokens: 44,\n * });\n * // [{\n * // generated_text: 'def fib(n):\\n' +\n * // ' if n == 0:\\n' +\n * // ' return 0\\n' +\n * // ' elif n == 1:\\n' +\n * // ' return 1\\n' +\n * // ' else:\\n' +\n * // ' return fib(n-1) + fib(n-2)\\n'\n * // }]\n * ```\n */\nexport class TextGenerationPipeline extends (/** @type {new (options: TextPipelineConstructorArgs) => TextGenerationPipelineType} */ (Pipeline)) {\n\n /**\n * Create a new TextGenerationPipeline.\n * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n\n /** @type {TextGenerationPipelineCallback} */\n async _call(texts, generate_kwargs = {}) {\n let isBatched = false;\n let isChatInput = false;\n\n // Normalize inputs\n /** @type {string[]} */\n let inputs;\n if (typeof texts === 'string') {\n inputs = texts = [texts];\n } else if (Array.isArray(texts) && texts.every(x => typeof x === 'string')) {\n isBatched = true;\n inputs = /** @type {string[]} */(texts);\n } else {\n if (isChat(texts)) {\n texts = [/** @type {Chat} */(texts)];\n } else if (Array.isArray(texts) && texts.every(isChat)) {\n isBatched = true;\n } else {\n throw new Error('Input must be a string, an array of strings, a Chat, or an array of Chats');\n }\n isChatInput = true;\n\n // If the input is a chat, we need to apply the chat template\n inputs = /** @type {string[]} */(/** @type {Chat[]} */ (texts).map(\n x => this.tokenizer.apply_chat_template(x, {\n tokenize: false,\n add_generation_prompt: true,\n })\n ));\n }\n\n // By default, do not add special tokens\n const add_special_tokens = generate_kwargs.add_special_tokens ?? false;\n\n // By default, return full text\n const return_full_text = isChatInput\n ? false\n : generate_kwargs.return_full_text ?? true;\n\n this.tokenizer.padding_side = 'left';\n const text_inputs = this.tokenizer(inputs, {\n add_special_tokens,\n padding: true,\n truncation: true,\n });\n\n const outputTokenIds = /** @type {Tensor} */(await this.model.generate({\n ...text_inputs,\n ...generate_kwargs\n }));\n\n const decoded = this.tokenizer.batch_decode(outputTokenIds, {\n skip_special_tokens: true,\n });\n\n let promptLengths;\n if (!return_full_text && text_inputs.input_ids.dims.at(-1) > 0) {\n promptLengths = this.tokenizer.batch_decode(text_inputs.input_ids, {\n skip_special_tokens: true,\n }).map(x => x.length);\n }\n\n /** @type {TextGenerationOutput[]} */\n const toReturn = Array.from({ length: texts.length }, _ => []);\n for (let i = 0; i < decoded.length; ++i) {\n const textIndex = Math.floor(i / outputTokenIds.dims[0] * texts.length);\n\n if (promptLengths) {\n // Trim the decoded text to only include the generated part\n decoded[i] = decoded[i].slice(promptLengths[textIndex]);\n }\n toReturn[textIndex].push({\n generated_text: isChatInput\n ? [\n ...((/** @type {Chat[]} */(texts)[textIndex])),\n { role: 'assistant', content: decoded[i] },\n ]\n : decoded[i]\n });\n }\n return (!isBatched && toReturn.length === 1) ? toReturn[0] : toReturn;\n }\n}\n\n/**\n * @typedef {Object} ZeroShotClassificationOutput\n * @property {string} sequence The sequence for which this is the output.\n * @property {string[]} labels The labels sorted by order of likelihood.\n * @property {number[]} scores The probabilities for each of the labels.\n * \n * @typedef {Object} ZeroShotClassificationPipelineOptions Parameters specific to zero-shot classification pipelines.\n * @property {string} [hypothesis_template=\"This example is {}.\"] The template used to turn each\n * candidate label into an NLI-style hypothesis. The candidate label will replace the {} placeholder.\n * @property {boolean} [multi_label=false] Whether or not multiple candidate labels can be true.\n * If `false`, the scores are normalized such that the sum of the label likelihoods for each sequence\n * is 1. If `true`, the labels are considered independent and probabilities are normalized for each\n * candidate by doing a softmax of the entailment score vs. the contradiction score.\n * \n * @callback ZeroShotClassificationPipelineCallback Classify the sequence(s) given as inputs.\n * @param {string|string[]} texts The sequence(s) to classify, will be truncated if the model input is too large.\n * @param {string|string[]} candidate_labels The set of possible class labels to classify each sequence into.\n * Can be a single label, a string of comma-separated labels, or a list of labels.\n * @param {ZeroShotClassificationPipelineOptions} [options] The options to use for zero-shot classification.\n * @returns {Promise<ZeroShotClassificationOutput|ZeroShotClassificationOutput[]>} An array or object containing the predicted labels and scores.\n * \n * @typedef {TextPipelineConstructorArgs & ZeroShotClassificationPipelineCallback & Disposable} ZeroShotClassificationPipelineType\n */\n\n/**\n * NLI-based zero-shot classification pipeline using a `ModelForSequenceClassification`\n * trained on NLI (natural language inference) tasks. Equivalent of `text-classification`\n * pipelines, but these models don't require a hardcoded number of potential classes, they\n * can be chosen at runtime. It usually means it's slower but it is **much** more flexible.\n * \n * **Example:** Zero shot classification with `Xenova/mobilebert-uncased-mnli`.\n * ```javascript\n * const classifier = await pipeline('zero-shot-classification', 'Xenova/mobilebert-uncased-mnli');\n * const text = 'Last week I upgraded my iOS version and ever since then my phone has been overheating whenever I use your app.';\n * const labels = [ 'mobile', 'billing', 'website', 'account access' ];\n * const output = await classifier(text, labels);\n * // {\n * // sequence: 'Last week I upgraded my iOS version and ever since then my phone has been overheating whenever I use your app.',\n * // labels: [ 'mobile', 'website', 'billing', 'account access' ],\n * // scores: [ 0.5562091040482018, 0.1843621307860853, 0.13942646639336376, 0.12000229877234923 ]\n * // }\n * ```\n * \n * **Example:** Zero shot classification with `Xenova/nli-deberta-v3-xsmall` (multi-label).\n * ```javascript\n * const classifier = await pipeline('zero-shot-classification', 'Xenova/nli-deberta-v3-xsmall');\n * const text = 'I have a problem with my iphone that needs to be resolved asap!';\n * const labels = [ 'urgent', 'not urgent', 'phone', 'tablet', 'computer' ];\n * const output = await classifier(text, labels, { multi_label: true });\n * // {\n * // sequence: 'I have a problem with my iphone that needs to be resolved asap!',\n * // labels: [ 'urgent', 'phone', 'computer', 'tablet', 'not urgent' ],\n * // scores: [ 0.9958870956360275, 0.9923963400697035, 0.002333537946160235, 0.0015134138567598765, 0.0010699384208377163 ]\n * // }\n * ```\n */\nexport class ZeroShotClassificationPipeline extends (/** @type {new (options: TextPipelineConstructorArgs) => ZeroShotClassificationPipelineType} */ (Pipeline)) {\n /**\n * Create a new ZeroShotClassificationPipeline.\n * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n\n // Use model config to get label2id mapping\n this.label2id = Object.fromEntries(\n Object.entries((/** @type {any} */(this).model).config.label2id).map(\n ([k, v]) => [k.toLowerCase(), v]\n )\n );\n\n this.entailment_id = this.label2id['entailment'];\n if (this.entailment_id === undefined) {\n console.warn(\"Could not find 'entailment' in label2id mapping. Using 2 as entailment_id.\");\n this.entailment_id = 2;\n }\n\n this.contradiction_id = this.label2id['contradiction'] ?? this.label2id['not_entailment'];\n if (this.contradiction_id === undefined) {\n console.warn(\"Could not find 'contradiction' in label2id mapping. Using 0 as contradiction_id.\");\n this.contradiction_id = 0;\n }\n }\n\n /** @type {ZeroShotClassificationPipelineCallback} */\n async _call(texts, candidate_labels, {\n hypothesis_template = \"This example is {}.\",\n multi_label = false,\n } = {}) {\n\n const isBatched = Array.isArray(texts);\n if (!isBatched) {\n texts = [/** @type {string} */ (texts)];\n }\n if (!Array.isArray(candidate_labels)) {\n candidate_labels = [candidate_labels];\n }\n\n // Insert labels into hypothesis template\n const hypotheses = candidate_labels.map(\n x => hypothesis_template.replace('{}', x)\n );\n\n // How to perform the softmax over the logits:\n // - true: softmax over the entailment vs. contradiction dim for each label independently\n // - false: softmax the \"entailment\" logits over all candidate labels\n const softmaxEach = multi_label || candidate_labels.length === 1;\n\n /** @type {ZeroShotClassificationOutput[]} */\n const toReturn = [];\n for (const premise of texts) {\n const entails_logits = [];\n\n for (const hypothesis of hypotheses) {\n const inputs = this.tokenizer(premise, {\n text_pair: hypothesis,\n padding: true,\n truncation: true,\n })\n const outputs = await this.model(inputs)\n\n if (softmaxEach) {\n entails_logits.push([\n outputs.logits.data[this.contradiction_id],\n outputs.logits.data[this.entailment_id]\n ])\n } else {\n entails_logits.push(outputs.logits.data[this.entailment_id])\n }\n }\n\n /** @type {number[]} */\n const scores = softmaxEach\n ? entails_logits.map(x => softmax(x)[1])\n : softmax(entails_logits);\n\n // Sort by scores (desc) and return scores with indices\n const scores_sorted = scores\n .map((x, i) => [x, i])\n .sort((a, b) => (b[0] - a[0]));\n\n toReturn.push({\n sequence: premise,\n labels: scores_sorted.map(x => candidate_labels[x[1]]),\n scores: scores_sorted.map(x => x[0]),\n });\n }\n return isBatched ? toReturn : toReturn[0];\n }\n}\n\n/**\n * @typedef {Object} FeatureExtractionPipelineOptions Parameters specific to feature extraction pipelines.\n * @property {'none'|'mean'|'cls'} [pooling=\"none\"] The pooling method to use.\n * @property {boolean} [normalize=false] Whether or not to normalize the embeddings in the last dimension.\n * @property {boolean} [quantize=false] Whether or not to quantize the embeddings.\n * @property {'binary'|'ubinary'} [precision='binary'] The precision to use for quantization. \n * \n * @callback FeatureExtractionPipelineCallback Extract the features of the input(s).\n * @param {string|string[]} texts One or several texts (or one list of texts) to get the features of.\n * @param {FeatureExtractionPipelineOptions} [options] The options to use for feature extraction.\n * @returns {Promise<Tensor>} The features computed by the model.\n * \n * @typedef {TextPipelineConstructorArgs & FeatureExtractionPipelineCallback & Disposable} FeatureExtractionPipelineType\n */\n\n/**\n * Feature extraction pipeline using no model head. This pipeline extracts the hidden\n * states from the base transformer, which can be used as features in downstream tasks.\n * \n * **Example:** Run feature extraction with `bert-base-uncased` (without pooling/normalization).\n * ```javascript\n * const extractor = await pipeline('feature-extraction', 'Xenova/bert-base-uncased', { revision: 'default' });\n * const output = await extractor('This is a simple test.');\n * // Tensor {\n * // type: 'float32',\n * // data: Float32Array [0.05939924716949463, 0.021655935794115067, ...],\n * // dims: [1, 8, 768]\n * // }\n * ```\n * \n * **Example:** Run feature extraction with `bert-base-uncased` (with pooling/normalization).\n * ```javascript\n * const extractor = await pipeline('feature-extraction', 'Xenova/bert-base-uncased', { revision: 'default' });\n * const output = await extractor('This is a simple test.', { pooling: 'mean', normalize: true });\n * // Tensor {\n * // type: 'float32',\n * // data: Float32Array [0.03373778983950615, -0.010106077417731285, ...],\n * // dims: [1, 768]\n * // }\n * ```\n * \n * **Example:** Calculating embeddings with `sentence-transformers` models.\n * ```javascript\n * const extractor = await pipeline('feature-extraction', 'Xenova/all-MiniLM-L6-v2');\n * const output = await extractor('This is a simple test.', { pooling: 'mean', normalize: true });\n * // Tensor {\n * // type: 'float32',\n * // data: Float32Array [0.09094982594251633, -0.014774246141314507, ...],\n * // dims: [1, 384]\n * // }\n * ```\n * **Example:** Calculating binary embeddings with `sentence-transformers` models.\n * ```javascript\n * const extractor = await pipeline('feature-extraction', 'Xenova/all-MiniLM-L6-v2');\n * const output = await extractor('This is a simple test.', { pooling: 'mean', quantize: true, precision: 'binary' });\n * // Tensor {\n * // type: 'int8',\n * // data: Int8Array [49, 108, 24, ...],\n * // dims: [1, 48]\n * // }\n * ```\n */\nexport class FeatureExtractionPipeline extends (/** @type {new (options: TextPipelineConstructorArgs) => FeatureExtractionPipelineType} */ (Pipeline)) {\n /**\n * Create a new FeatureExtractionPipeline.\n * @param {TextPipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n\n /** @type {FeatureExtractionPipelineCallback} */\n async _call(texts, {\n pooling = /** @type {'none'} */('none'),\n normalize = false,\n quantize = false,\n precision = /** @type {'binary'} */('binary'),\n } = {}) {\n\n // Run tokenization\n const model_inputs = this.tokenizer(texts, {\n padding: true,\n truncation: true,\n });\n\n // Run model\n const outputs = await this.model(model_inputs)\n\n // TODO: Provide warning to the user that they might be using model which was not exported\n // specifically for feature extraction\n // console.log(this.model.config)\n // console.log(outputs)\n\n /** @type {Tensor} */\n let result = outputs.last_hidden_state ?? outputs.logits ?? outputs.token_embeddings;\n if (pooling === 'none') {\n // Skip pooling\n } else if (pooling === 'mean') {\n result = mean_pooling(result, model_inputs.attention_mask);\n } else if (pooling === 'cls') {\n result = result.slice(null, 0);\n } else {\n throw Error(`Pooling method '${pooling}' not supported.`);\n }\n\n if (normalize) {\n result = result.normalize(2, -1);\n }\n\n if (quantize) {\n result = quantize_embeddings(result, precision);\n }\n\n return result;\n }\n}\n\n\n/**\n * @typedef {Object} ImageFeatureExtractionPipelineOptions Parameters specific to image feature extraction pipelines.\n * @property {boolean} [pool=null] Whether or not to return the pooled output. If set to `false`, the model will return the raw hidden states.\n * \n * @callback ImageFeatureExtractionPipelineCallback Extract the features of the input(s).\n * @param {ImagePipelineInputs} images One or several images (or one list of images) to get the features of.\n * @param {ImageFeatureExtractionPipelineOptions} [options] The options to use for image feature extraction.\n * @returns {Promise<Tensor>} The image features computed by the model.\n * \n * @typedef {ImagePipelineConstructorArgs & ImageFeatureExtractionPipelineCallback & Disposable} ImageFeatureExtractionPipelineType\n */\n\n/**\n * Image feature extraction pipeline using no model head. This pipeline extracts the hidden\n * states from the base transformer, which can be used as features in downstream tasks.\n * \n * **Example:** Perform image feature extraction with `Xenova/vit-base-patch16-224-in21k`.\n * ```javascript\n * const image_feature_extractor = await pipeline('image-feature-extraction', 'Xenova/vit-base-patch16-224-in21k');\n * const url = 'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/cats.png';\n * const features = await image_feature_extractor(url);\n * // Tensor {\n * // dims: [ 1, 197, 768 ],\n * // type: 'float32',\n * // data: Float32Array(151296) [ ... ],\n * // size: 151296\n * // }\n * ```\n * \n * **Example:** Compute image embeddings with `Xenova/clip-vit-base-patch32`.\n * ```javascript\n * const image_feature_extractor = await pipeline('image-feature-extraction', 'Xenova/clip-vit-base-patch32');\n * const url = 'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/cats.png';\n * const features = await image_feature_extractor(url);\n * // Tensor {\n * // dims: [ 1, 512 ],\n * // type: 'float32',\n * // data: Float32Array(512) [ ... ],\n * // size: 512\n * // }\n * ```\n */\nexport class ImageFeatureExtractionPipeline extends (/** @type {new (options: ImagePipelineConstructorArgs) => ImageFeatureExtractionPipelineType} */ (Pipeline)) {\n /**\n * Create a new ImageFeatureExtractionPipeline.\n * @param {ImagePipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n\n /** @type {ImageFeatureExtractionPipelineCallback} */\n async _call(images, {\n pool = null,\n } = {}) {\n\n const preparedImages = await prepareImages(images);\n const { pixel_values } = await this.processor(preparedImages);\n const outputs = await this.model({ pixel_values });\n\n /** @type {Tensor} */\n let result;\n if (pool) {\n if (!('pooler_output' in outputs)) {\n throw Error(`No pooled output was returned. Make sure the model has a 'pooler' layer when using the 'pool' option.`);\n }\n result = outputs.pooler_output;\n\n } else {\n result = outputs.last_hidden_state ?? outputs.logits ?? outputs.image_embeds;\n }\n return result;\n }\n}\n\n// TODO\n// export class SentenceSimilarityPipeline extends Pipeline {\n// }\n\n/**\n * @typedef {Object} AudioClassificationSingle\n * @property {string} label The label predicted.\n * @property {number} score The corresponding probability.\n * @typedef {AudioClassificationSingle[]} AudioClassificationOutput\n * \n * @typedef {Object} AudioClassificationPipelineOptions Parameters specific to audio classification pipelines.\n * @property {number} [top_k=5] The number of top labels that will be returned by the pipeline.\n * If the provided number is `null` or higher than the number of labels available in the model configuration,\n * it will default to the number of labels.\n * \n * @callback AudioClassificationPipelineCallback Classify the sequence(s) given as inputs.\n * @param {AudioPipelineInputs} audio The input audio file(s) to be classified. The input is either:\n * - `string` or `URL` that is the filename/URL of the audio file, the file will be read at the processor's sampling rate\n * to get the waveform using the [`AudioContext`](https://developer.mozilla.org/en-US/docs/Web/API/AudioContext) API.\n * If `AudioContext` is not available, you should pass the raw waveform in as a Float32Array of shape `(n, )`.\n * - `Float32Array` or `Float64Array` of shape `(n, )`, representing the raw audio at the correct sampling rate (no further check will be done).\n * @param {AudioClassificationPipelineOptions} [options] The options to use for audio classification.\n * @returns {Promise<AudioClassificationOutput|AudioClassificationOutput[]>} An array or object containing the predicted labels and scores.\n * \n * @typedef {AudioPipelineConstructorArgs & AudioClassificationPipelineCallback & Disposable} AudioClassificationPipelineType\n */\n\n/**\n * Audio classification pipeline using any `AutoModelForAudioClassification`.\n * This pipeline predicts the class of a raw waveform or an audio file.\n * \n * **Example:** Perform audio classification with `Xenova/wav2vec2-large-xlsr-53-gender-recognition-librispeech`.\n * ```javascript\n * const classifier = await pipeline('audio-classification', 'Xenova/wav2vec2-large-xlsr-53-gender-recognition-librispeech');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';\n * const output = await classifier(url);\n * // [\n * // { label: 'male', score: 0.9981542229652405 },\n * // { label: 'female', score: 0.001845747814513743 }\n * // ]\n * ```\n * \n * **Example:** Perform audio classification with `Xenova/ast-finetuned-audioset-10-10-0.4593` and return top 4 results.\n * ```javascript\n * const classifier = await pipeline('audio-classification', 'Xenova/ast-finetuned-audioset-10-10-0.4593');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cat_meow.wav';\n * const output = await classifier(url, { top_k: 4 });\n * // [\n * // { label: 'Meow', score: 0.5617874264717102 },\n * // { label: 'Cat', score: 0.22365376353263855 },\n * // { label: 'Domestic animals, pets', score: 0.1141069084405899 },\n * // { label: 'Animal', score: 0.08985692262649536 },\n * // ]\n * ```\n */\nexport class AudioClassificationPipeline extends (/** @type {new (options: AudioPipelineConstructorArgs) => AudioClassificationPipelineType} */ (Pipeline)) {\n\n /**\n * Create a new AudioClassificationPipeline.\n * @param {AudioPipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n\n /** @type {AudioClassificationPipelineCallback} */\n async _call(audio, {\n top_k = 5\n } = {}) {\n\n const sampling_rate = this.processor.feature_extractor.config.sampling_rate;\n const preparedAudios = await prepareAudios(audio, sampling_rate);\n\n // @ts-expect-error TS2339\n const id2label = this.model.config.id2label;\n\n const toReturn = [];\n for (const aud of preparedAudios) {\n const inputs = await this.processor(aud);\n const output = await this.model(inputs);\n const logits = output.logits[0];\n\n const scores = await topk(new Tensor(\n 'float32',\n softmax(logits.data),\n logits.dims,\n ), top_k);\n\n const values = scores[0].tolist();\n const indices = scores[1].tolist();\n\n const vals = indices.map((x, i) => ({\n label: /** @type {string} */ (id2label ? id2label[x] : `LABEL_${x}`),\n score: /** @type {number} */ (values[i]),\n }));\n\n toReturn.push(vals);\n };\n return Array.isArray(audio) ? toReturn : toReturn[0];\n }\n}\n\n/**\n * @typedef {Object} ZeroShotAudioClassificationOutput\n * @property {string} label The label identified by the model. It is one of the suggested `candidate_label`.\n * @property {number} score The score attributed by the model for that label (between 0 and 1).\n * \n * @typedef {Object} ZeroShotAudioClassificationPipelineOptions Parameters specific to zero-shot audio classification pipelines.\n * @property {string} [hypothesis_template=\"This is a sound of {}.\"] The sentence used in conjunction with `candidate_labels`\n * to attempt the audio classification by replacing the placeholder with the candidate_labels.\n * Then likelihood is estimated by using `logits_per_audio`.\n * \n * @callback ZeroShotAudioClassificationPipelineCallback Classify the sequence(s) given as inputs.\n * @param {AudioPipelineInputs} audio The input audio file(s) to be classified. The input is either:\n * - `string` or `URL` that is the filename/URL of the audio file, the file will be read at the processor's sampling rate\n * to get the waveform using the [`AudioContext`](https://developer.mozilla.org/en-US/docs/Web/API/AudioContext) API.\n * If `AudioContext` is not available, you should pass the raw waveform in as a Float32Array of shape `(n, )`.\n * - `Float32Array` or `Float64Array` of shape `(n, )`, representing the raw audio at the correct sampling rate (no further check will be done).\n * @param {string[]} candidate_labels The candidate labels for this audio.\n * @param {ZeroShotAudioClassificationPipelineOptions} [options] The options to use for zero-shot audio classification.\n * @returns {Promise<ZeroShotAudioClassificationOutput[]|ZeroShotAudioClassificationOutput[][]>} An array of objects containing the predicted labels and scores.\n * \n * @typedef {TextAudioPipelineConstructorArgs & ZeroShotAudioClassificationPipelineCallback & Disposable} ZeroShotAudioClassificationPipelineType\n */\n\n/**\n * Zero shot audio classification pipeline using `ClapModel`. This pipeline predicts the class of an audio when you\n * provide an audio and a set of `candidate_labels`.\n * \n * **Example**: Perform zero-shot audio classification with `Xenova/clap-htsat-unfused`.\n * ```javascript\n * const classifier = await pipeline('zero-shot-audio-classification', 'Xenova/clap-htsat-unfused');\n * const audio = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/dog_barking.wav';\n * const candidate_labels = ['dog', 'vaccum cleaner'];\n * const scores = await classifier(audio, candidate_labels);\n * // [\n * // { score: 0.9993992447853088, label: 'dog' },\n * // { score: 0.0006007603369653225, label: 'vaccum cleaner' }\n * // ]\n * ```\n */\nexport class ZeroShotAudioClassificationPipeline extends (/** @type {new (options: TextAudioPipelineConstructorArgs) => ZeroShotAudioClassificationPipelineType} */ (Pipeline)) {\n\n /**\n * Create a new ZeroShotAudioClassificationPipeline.\n * @param {TextAudioPipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n\n /** @type {ZeroShotAudioClassificationPipelineCallback} */\n async _call(audio, candidate_labels, {\n hypothesis_template = \"This is a sound of {}.\"\n } = {}) {\n\n const single = !Array.isArray(audio);\n if (single) {\n audio = [/** @type {AudioInput} */ (audio)];\n }\n\n // Insert label into hypothesis template \n const texts = candidate_labels.map(\n x => hypothesis_template.replace('{}', x)\n );\n\n // Run tokenization\n const text_inputs = this.tokenizer(texts, {\n padding: true,\n truncation: true,\n });\n\n const sampling_rate = this.processor.feature_extractor.config.sampling_rate;\n const preparedAudios = await prepareAudios(audio, sampling_rate);\n\n const toReturn = [];\n for (const aud of preparedAudios) {\n const audio_inputs = await this.processor(aud);\n\n // Run model with both text and audio inputs\n const output = await this.model({ ...text_inputs, ...audio_inputs });\n\n // Compute softmax per audio\n const probs = softmax(output.logits_per_audio.data);\n\n toReturn.push([...probs].map((x, i) => ({\n score: x,\n label: candidate_labels[i]\n })));\n }\n return single ? toReturn[0] : toReturn;\n }\n}\n\n/**\n * @typedef {Object} Chunk\n * @property {[number, number]} timestamp The start and end timestamp of the chunk in seconds.\n * @property {string} text The recognized text.\n */\n\n/**\n * @typedef {Object} AutomaticSpeechRecognitionOutput\n * @property {string} text The recognized text.\n * @property {Chunk[]} [chunks] When using `return_timestamps`, the `chunks` will become a list\n * containing all the various text chunks identified by the model.\n * \n * @typedef {Object} AutomaticSpeechRecognitionSpecificParams Parameters specific to automatic-speech-recognition pipelines.\n * @property {boolean|'word'} [return_timestamps] Whether to return timestamps or not. Default is `false`.\n * @property {number} [chunk_length_s] The length of audio chunks to process in seconds. Default is 0 (no chunking).\n * @property {number} [stride_length_s] The length of overlap between consecutive audio chunks in seconds. If not provided, defaults to `chunk_length_s / 6`.\n * @property {boolean} [force_full_sequences] Whether to force outputting full sequences or not. Default is `false`.\n * @property {string} [language] The source language. Default is `null`, meaning it should be auto-detected. Use this to potentially improve performance if the source language is known.\n * @property {string} [task] The task to perform. Default is `null`, meaning it should be auto-detected.\n * @property {number} [num_frames] The number of frames in the input audio.\n * @typedef {import('./generation/configuration_utils.js').GenerationConfig & AutomaticSpeechRecognitionSpecificParams} AutomaticSpeechRecognitionConfig\n * \n * @callback AutomaticSpeechRecognitionPipelineCallback Transcribe the audio sequence(s) given as inputs to text.\n * @param {AudioPipelineInputs} audio The input audio file(s) to be transcribed. The input is either:\n * - `string` or `URL` that is the filename/URL of the audio file, the file will be read at the processor's sampling rate\n * to get the waveform using the [`AudioContext`](https://developer.mozilla.org/en-US/docs/Web/API/AudioContext) API.\n * If `AudioContext` is not available, you should pass the raw waveform in as a Float32Array of shape `(n, )`.\n * - `Float32Array` or `Float64Array` of shape `(n, )`, representing the raw audio at the correct sampling rate (no further check will be done).\n * @param {Partial<AutomaticSpeechRecognitionConfig>} [options] Additional keyword arguments to pass along to the generate method of the model.\n * @returns {Promise<AutomaticSpeechRecognitionOutput|AutomaticSpeechRecognitionOutput[]>} An object containing the transcription text and optionally timestamps if `return_timestamps` is `true`.\n * \n * @typedef {TextAudioPipelineConstructorArgs & AutomaticSpeechRecognitionPipelineCallback & Disposable} AutomaticSpeechRecognitionPipelineType\n */\n\n/**\n * Pipeline that aims at extracting spoken text contained within some audio.\n *\n * **Example:** Transcribe English.\n * ```javascript\n * const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';\n * const output = await transcriber(url);\n * // { text: \" And so my fellow Americans ask not what your country can do for you, ask what you can do for your country.\" }\n * ```\n * \n * **Example:** Transcribe English w/ timestamps.\n * ```javascript\n * const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';\n * const output = await transcriber(url, { return_timestamps: true });\n * // {\n * // text: \" And so my fellow Americans ask not what your country can do for you, ask what you can do for your country.\"\n * // chunks: [\n * // { timestamp: [0, 8], text: \" And so my fellow Americans ask not what your country can do for you\" }\n * // { timestamp: [8, 11], text: \" ask what you can do for your country.\" }\n * // ]\n * // }\n * ```\n * \n * **Example:** Transcribe English w/ word-level timestamps.\n * ```javascript\n * const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';\n * const output = await transcriber(url, { return_timestamps: 'word' });\n * // {\n * // \"text\": \" And so my fellow Americans ask not what your country can do for you ask what you can do for your country.\",\n * // \"chunks\": [\n * // { \"text\": \" And\", \"timestamp\": [0, 0.78] },\n * // { \"text\": \" so\", \"timestamp\": [0.78, 1.06] },\n * // { \"text\": \" my\", \"timestamp\": [1.06, 1.46] },\n * // ...\n * // { \"text\": \" for\", \"timestamp\": [9.72, 9.92] },\n * // { \"text\": \" your\", \"timestamp\": [9.92, 10.22] },\n * // { \"text\": \" country.\", \"timestamp\": [10.22, 13.5] }\n * // ]\n * // }\n * ```\n * \n * **Example:** Transcribe French.\n * ```javascript\n * const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-small');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/french-audio.mp3';\n * const output = await transcriber(url, { language: 'french', task: 'transcribe' });\n * // { text: \" J'adore, j'aime, je n'aime pas, je déteste.\" }\n * ```\n * \n * **Example:** Translate French to English.\n * ```javascript\n * const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-small');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/french-audio.mp3';\n * const output = await transcriber(url, { language: 'french', task: 'translate' });\n * // { text: \" I love, I like, I don't like, I hate.\" }\n * ```\n * \n * **Example:** Transcribe/translate audio longer than 30 seconds.\n * ```javascript\n * const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/ted_60.wav';\n * const output = await transcriber(url, { chunk_length_s: 30, stride_length_s: 5 });\n * // { text: \" So in college, I was a government major, which means [...] So I'd start off light and I'd bump it up\" }\n * ```\n */\nexport class AutomaticSpeechRecognitionPipeline extends (/** @type {new (options: TextAudioPipelineConstructorArgs) => AutomaticSpeechRecognitionPipelineType} */ (Pipeline)) {\n\n /**\n * Create a new AutomaticSpeechRecognitionPipeline.\n * @param {TextAudioPipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n\n /** @type {AutomaticSpeechRecognitionPipelineCallback} */\n async _call(audio, kwargs = {}) {\n switch (this.model.config.model_type) {\n case 'whisper':\n return this._call_whisper(audio, kwargs)\n case 'wav2vec2':\n case 'wav2vec2-bert':\n case 'unispeech':\n case 'unispeech-sat':\n case 'hubert':\n return this._call_wav2vec2(audio, kwargs)\n case 'moonshine':\n return this._call_moonshine(audio, kwargs)\n default:\n throw new Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)\n }\n }\n\n /**\n * @type {AutomaticSpeechRecognitionPipelineCallback}\n * @private\n */\n async _call_wav2vec2(audio, kwargs) {\n // TODO use kwargs\n\n if (kwargs.language) {\n console.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to \"English\".');\n }\n if (kwargs.task) {\n console.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to \"transcribe\".');\n }\n\n const single = !Array.isArray(audio);\n if (single) {\n audio = [/** @type {AudioInput} */ (audio)];\n }\n\n const sampling_rate = this.processor.feature_extractor.config.sampling_rate;\n const preparedAudios = await prepareAudios(audio, sampling_rate);\n\n const toReturn = [];\n for (const aud of preparedAudios) {\n const inputs = await this.processor(aud);\n const output = await this.model(inputs);\n const logits = output.logits[0];\n\n const predicted_ids = [];\n for (const item of logits) {\n predicted_ids.push(max(item.data)[1])\n }\n const predicted_sentences = this.tokenizer.decode(predicted_ids)\n toReturn.push({ text: predicted_sentences })\n }\n return single ? toReturn[0] : toReturn;\n }\n\n /**\n * @type {AutomaticSpeechRecognitionPipelineCallback}\n * @private\n */\n async _call_whisper(audio, kwargs) {\n const return_timestamps = kwargs.return_timestamps ?? false;\n const chunk_length_s = kwargs.chunk_length_s ?? 0;\n const force_full_sequences = kwargs.force_full_sequences ?? false;\n let stride_length_s = kwargs.stride_length_s ?? null;\n\n const generation_config = { ...kwargs }\n\n if (return_timestamps === 'word') {\n generation_config['return_token_timestamps'] = true;\n generation_config['return_timestamps'] = false; // Do not predict timestamp tokens\n }\n\n const single = !Array.isArray(audio);\n if (single) {\n audio = [/** @type {AudioInput} */ (audio)];\n }\n\n // @ts-expect-error TS2339\n const time_precision = this.processor.feature_extractor.config.chunk_length / this.model.config.max_source_positions;\n const hop_length = this.processor.feature_extractor.config.hop_length;\n\n const sampling_rate = this.processor.feature_extractor.config.sampling_rate;\n const preparedAudios = await prepareAudios(audio, sampling_rate);\n\n const toReturn = [];\n for (const aud of preparedAudios) {\n /** @type {{stride: number[], input_features: Tensor, is_last: boolean, tokens?: bigint[], token_timestamps?: number[]}[]} */\n let chunks = [];\n if (chunk_length_s > 0) {\n if (stride_length_s === null) {\n stride_length_s = chunk_length_s / 6;\n } else if (chunk_length_s <= stride_length_s) {\n throw Error(\"`chunk_length_s` must be larger than `stride_length_s`.\")\n }\n\n // TODO support different stride_length_s (for left and right)\n\n const window = sampling_rate * chunk_length_s;\n const stride = sampling_rate * stride_length_s;\n const jump = window - 2 * stride;\n let offset = 0;\n\n // Create subarrays of audio with overlaps\n while (true) {\n const offset_end = offset + window;\n const subarr = aud.subarray(offset, offset_end);\n const feature = await this.processor(subarr);\n\n const is_first = offset === 0;\n const is_last = offset_end >= aud.length;\n chunks.push({\n stride: [\n subarr.length,\n is_first ? 0 : stride,\n is_last ? 0 : stride\n ],\n input_features: feature.input_features,\n is_last,\n })\n if (is_last) break;\n offset += jump;\n }\n\n } else {\n chunks = [{\n stride: [aud.length, 0, 0],\n input_features: (await this.processor(aud)).input_features,\n is_last: true\n }]\n }\n\n // Generate for each set of input features\n for (const chunk of chunks) {\n generation_config.num_frames = Math.floor(chunk.stride[0] / hop_length);\n\n // NOTE: doing sequentially for now\n const data = await this.model.generate({\n inputs: chunk.input_features,\n ...generation_config\n });\n\n // TODO: Right now we only get top beam\n if (return_timestamps === 'word') {\n // @ts-expect-error TS2339\n chunk.tokens = data.sequences.tolist()[0];\n // @ts-expect-error TS2339\n chunk.token_timestamps = data.token_timestamps.tolist()[0].map(\n (/** @type {number} */ x) => round(x, 2)\n );\n\n } else {\n chunk.tokens = (/** @type {Tensor} */(data))[0].tolist();\n }\n\n // convert stride to seconds\n chunk.stride = chunk.stride.map(x => x / sampling_rate);\n }\n\n // Merge text chunks\n // @ts-ignore\n const [full_text, optional] = this.tokenizer._decode_asr(chunks, {\n time_precision, return_timestamps, force_full_sequences\n });\n\n toReturn.push({ text: full_text, ...optional })\n }\n return single ? toReturn[0] : toReturn;\n }\n\n /**\n * @type {AutomaticSpeechRecognitionPipelineCallback}\n * @private\n */\n async _call_moonshine(audio, kwargs) {\n const single = !Array.isArray(audio);\n if (single) {\n audio = [/** @type {AudioInput} */ (audio)];\n }\n const sampling_rate = this.processor.feature_extractor.config.sampling_rate;\n const preparedAudios = await prepareAudios(audio, sampling_rate);\n const toReturn = [];\n for (const aud of preparedAudios) {\n const inputs = await this.processor(aud);\n\n // According to the [paper](https://arxiv.org/pdf/2410.15608):\n // \"We use greedy decoding, with a heuristic limit of 6 output tokens\n // per second of audio to avoid repeated output sequences.\"\n const max_new_tokens = Math.floor(aud.length / sampling_rate) * 6;\n const outputs = await this.model.generate({ max_new_tokens, ...kwargs, ...inputs });\n\n const text = this.processor.batch_decode(/** @type {Tensor} */(outputs), { skip_special_tokens: true })[0];\n toReturn.push({ text });\n }\n return single ? toReturn[0] : toReturn;\n }\n\n}\n\n/**\n * @typedef {Object} ImageToTextSingle\n * @property {string} generated_text The generated text.\n * @typedef {ImageToTextSingle[]} ImageToTextOutput\n * \n * @callback ImageToTextPipelineCallback Assign labels to the image(s) passed as inputs.\n * @param {ImagePipelineInputs} texts The images to be captioned.\n * @param {Partial<import('./generation/configuration_utils.js').GenerationConfig>} [options] Additional keyword arguments to pass along to the generate method of the model.\n * @returns {Promise<ImageToTextOutput|ImageToTextOutput[]>} An object (or array of objects) containing the generated text(s).\n * \n * @typedef {TextImagePipelineConstructorArgs & ImageToTextPipelineCallback & Disposable} ImageToTextPipelineType\n */\n\n/**\n * Image To Text pipeline using a `AutoModelForVision2Seq`. This pipeline predicts a caption for a given image.\n * \n * **Example:** Generate a caption for an image w/ `Xenova/vit-gpt2-image-captioning`.\n * ```javascript\n * const captioner = await pipeline('image-to-text', 'Xenova/vit-gpt2-image-captioning');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';\n * const output = await captioner(url);\n * // [{ generated_text: 'a cat laying on a couch with another cat' }]\n * ```\n * \n * **Example:** Optical Character Recognition (OCR) w/ `Xenova/trocr-small-handwritten`.\n * ```javascript\n * const captioner = await pipeline('image-to-text', 'Xenova/trocr-small-handwritten');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/handwriting.jpg';\n * const output = await captioner(url);\n * // [{ generated_text: 'Mr. Brown commented icily.' }]\n * ```\n */\nexport class ImageToTextPipeline extends (/** @type {new (options: TextImagePipelineConstructorArgs) => ImageToTextPipelineType} */ (Pipeline)) {\n\n /**\n * Create a new ImageToTextPipeline.\n * @param {TextImagePipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n\n /** @type {ImageToTextPipelineCallback} */\n async _call(images, generate_kwargs = {}) {\n\n const isBatched = Array.isArray(images);\n const preparedImages = await prepareImages(images);\n\n const { pixel_values } = await this.processor(preparedImages);\n\n const toReturn = [];\n for (const batch of pixel_values) {\n batch.dims = [1, ...batch.dims]\n const output = await this.model.generate({ inputs: batch, ...generate_kwargs });\n const decoded = this.tokenizer.batch_decode(/** @type {Tensor} */(output), {\n skip_special_tokens: true,\n }).map(x => ({ generated_text: x.trim() }))\n toReturn.push(decoded);\n }\n\n return isBatched ? toReturn : toReturn[0];\n }\n}\n\n/**\n * @typedef {Object} ImageClassificationSingle\n * @property {string} label The label identified by the model.\n * @property {number} score The score attributed by the model for that label.\n * @typedef {ImageClassificationSingle[]} ImageClassificationOutput\n * \n * @typedef {Object} ImageClassificationPipelineOptions Parameters specific to image classification pipelines.\n * @property {number} [top_k=1] The number of top labels that will be returned by the pipeline. \n * \n * @callback ImageClassificationPipelineCallback Assign labels to the image(s) passed as inputs.\n * @param {ImagePipelineInputs} images The input images(s) to be classified.\n * @param {ImageClassificationPipelineOptions} [options] The options to use for image classification.\n * @returns {Promise<ImageClassificationOutput|ImageClassificationOutput[]>} An array or object containing the predicted labels and scores.\n * \n * @typedef {ImagePipelineConstructorArgs & ImageClassificationPipelineCallback & Disposable} ImageClassificationPipelineType\n */\n\n/**\n * Image classification pipeline using any `AutoModelForImageClassification`.\n * This pipeline predicts the class of an image.\n * \n * **Example:** Classify an image.\n * ```javascript\n * const classifier = await pipeline('image-classification', 'Xenova/vit-base-patch16-224');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/tiger.jpg';\n * const output = await classifier(url);\n * // [\n * // { label: 'tiger, Panthera tigris', score: 0.632695734500885 },\n * // ]\n * ```\n * \n * **Example:** Classify an image and return top `n` classes.\n * ```javascript\n * const classifier = await pipeline('image-classification', 'Xenova/vit-base-patch16-224');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/tiger.jpg';\n * const output = await classifier(url, { top_k: 3 });\n * // [\n * // { label: 'tiger, Panthera tigris', score: 0.632695734500885 },\n * // { label: 'tiger cat', score: 0.3634825646877289 },\n * // { label: 'lion, king of beasts, Panthera leo', score: 0.00045060308184474707 },\n * // ]\n * ```\n * \n * **Example:** Classify an image and return all classes.\n * ```javascript\n * const classifier = await pipeline('image-classification', 'Xenova/vit-base-patch16-224');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/tiger.jpg';\n * const output = await classifier(url, { top_k: 0 });\n * // [\n * // { label: 'tiger, Panthera tigris', score: 0.632695734500885 },\n * // { label: 'tiger cat', score: 0.3634825646877289 },\n * // { label: 'lion, king of beasts, Panthera leo', score: 0.00045060308184474707 },\n * // { label: 'jaguar, panther, Panthera onca, Felis onca', score: 0.00035465499968267977 },\n * // ...\n * // ]\n * ```\n */\nexport class ImageClassificationPipeline extends (/** @type {new (options: ImagePipelineConstructorArgs) => ImageClassificationPipelineType} */ (Pipeline)) {\n\n /**\n * Create a new ImageClassificationPipeline.\n * @param {ImagePipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n\n /** @type {ImageClassificationPipelineCallback} */\n async _call(images, {\n top_k = 5\n } = {}) {\n\n const preparedImages = await prepareImages(images);\n\n const { pixel_values } = await this.processor(preparedImages);\n const output = await this.model({ pixel_values });\n\n // @ts-expect-error TS2339\n const id2label = this.model.config.id2label;\n\n /** @type {ImageClassificationOutput[]} */\n const toReturn = [];\n for (const batch of output.logits) {\n const scores = await topk(new Tensor(\n 'float32',\n softmax(batch.data),\n batch.dims,\n ), top_k);\n\n const values = scores[0].tolist();\n const indices = scores[1].tolist();\n\n const vals = indices.map((x, i) => ({\n label: /** @type {string} */ (id2label ? id2label[x] : `LABEL_${x}`),\n score: /** @type {number} */ (values[i]),\n }));\n toReturn.push(vals);\n }\n\n return Array.isArray(images) ? toReturn : toReturn[0];\n }\n\n}\n\n/**\n * @typedef {Object} ImageSegmentationPipelineOutput\n * @property {string} label The label of the segment.\n * @property {number|null} score The score of the segment.\n * @property {RawImage} mask The mask of the segment.\n * \n * @typedef {Object} ImageSegmentationPipelineOptions Parameters specific to image segmentation pipelines.\n * @property {number} [threshold=0.5] Probability threshold to filter out predicted masks.\n * @property {number} [mask_threshold=0.5] Threshold to use when turning the predicted masks into binary values.\n * @property {number} [overlap_mask_area_threshold=0.8] Mask overlap threshold to eliminate small, disconnected segments.\n * @property {null|string} [subtask=null] Segmentation task to be performed. One of [`panoptic`, `instance`, and `semantic`],\n * depending on model capabilities. If not set, the pipeline will attempt to resolve (in that order).\n * @property {number[]} [label_ids_to_fuse=null] List of label ids to fuse. If not set, do not fuse any labels.\n * @property {number[][]} [target_sizes=null] List of target sizes for the input images. If not set, use the original image sizes.\n * \n * @callback ImageSegmentationPipelineCallback Segment the input images.\n * @param {ImagePipelineInputs} images The input images.\n * @param {ImageSegmentationPipelineOptions} [options] The options to use for image segmentation.\n * @returns {Promise<ImageSegmentationPipelineOutput[]>} The annotated segments.\n * \n * @typedef {ImagePipelineConstructorArgs & ImageSegmentationPipelineCallback & Disposable} ImageSegmentationPipelineType\n */\n\n/**\n * Image segmentation pipeline using any `AutoModelForXXXSegmentation`.\n * This pipeline predicts masks of objects and their classes.\n * \n * **Example:** Perform image segmentation with `Xenova/detr-resnet-50-panoptic`.\n * ```javascript\n * const segmenter = await pipeline('image-segmentation', 'Xenova/detr-resnet-50-panoptic');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';\n * const output = await segmenter(url);\n * // [\n * // { label: 'remote', score: 0.9984649419784546, mask: RawImage { ... } },\n * // { label: 'cat', score: 0.9994316101074219, mask: RawImage { ... } }\n * // ]\n * ```\n */\nexport class ImageSegmentationPipeline extends (/** @type {new (options: ImagePipelineConstructorArgs) => ImageSegmentationPipelineType} */ (Pipeline)) {\n /**\n * Create a new ImageSegmentationPipeline.\n * @param {ImagePipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n\n this.subtasks_mapping = {\n // Mapping of subtasks to their corresponding post-processing function names.\n panoptic: 'post_process_panoptic_segmentation',\n instance: 'post_process_instance_segmentation',\n semantic: 'post_process_semantic_segmentation'\n }\n }\n\n /** @type {ImageSegmentationPipelineCallback} */\n async _call(images, {\n threshold = 0.5,\n mask_threshold = 0.5,\n overlap_mask_area_threshold = 0.8,\n label_ids_to_fuse = null,\n target_sizes = null,\n subtask = null,\n } = {}) {\n const isBatched = Array.isArray(images);\n\n if (isBatched && images.length !== 1) {\n throw Error(\"Image segmentation pipeline currently only supports a batch size of 1.\");\n }\n\n const preparedImages = await prepareImages(images);\n const imageSizes = preparedImages.map(x => [x.height, x.width]);\n\n const { pixel_values, pixel_mask } = await this.processor(preparedImages);\n const output = await this.model({ pixel_values, pixel_mask });\n\n let fn = null;\n if (subtask !== null) {\n fn = this.subtasks_mapping[subtask];\n } else {\n for (let [task, func] of Object.entries(this.subtasks_mapping)) {\n if (func in this.processor.image_processor) {\n fn = this.processor.image_processor[func].bind(this.processor.image_processor);\n subtask = task;\n break;\n }\n }\n }\n\n // @ts-expect-error TS2339\n const id2label = this.model.config.id2label;\n\n /** @type {ImageSegmentationPipelineOutput[]} */\n const annotation = [];\n if (subtask === 'panoptic' || subtask === 'instance') {\n const processed = fn(\n output,\n threshold,\n mask_threshold,\n overlap_mask_area_threshold,\n label_ids_to_fuse,\n target_sizes ?? imageSizes, // TODO FIX?\n )[0];\n\n const segmentation = processed.segmentation;\n\n for (const segment of processed.segments_info) {\n const maskData = new Uint8ClampedArray(segmentation.data.length);\n for (let i = 0; i < segmentation.data.length; ++i) {\n if (segmentation.data[i] === segment.id) {\n maskData[i] = 255;\n }\n }\n\n const mask = new RawImage(maskData, segmentation.dims[1], segmentation.dims[0], 1)\n\n annotation.push({\n score: segment.score,\n label: id2label[segment.label_id],\n mask: mask\n })\n }\n\n } else if (subtask === 'semantic') {\n const { segmentation, labels } = fn(output, target_sizes ?? imageSizes)[0];\n\n for (const label of labels) {\n const maskData = new Uint8ClampedArray(segmentation.data.length);\n for (let i = 0; i < segmentation.data.length; ++i) {\n if (segmentation.data[i] === label) {\n maskData[i] = 255;\n }\n }\n\n const mask = new RawImage(maskData, segmentation.dims[1], segmentation.dims[0], 1);\n\n annotation.push({\n score: null,\n label: id2label[label],\n mask: mask\n });\n }\n } else {\n throw Error(`Subtask ${subtask} not supported.`);\n }\n\n return annotation;\n }\n}\n\n/**\n * @typedef {Object} ZeroShotImageClassificationOutput\n * @property {string} label The label identified by the model. It is one of the suggested `candidate_label`.\n * @property {number} score The score attributed by the model for that label (between 0 and 1).\n * \n * @typedef {Object} ZeroShotImageClassificationPipelineOptions Parameters specific to zero-shot image classification pipelines.\n * @property {string} [hypothesis_template=\"This is a photo of {}\"] The sentence used in conjunction with `candidate_labels`\n * to attempt the image classification by replacing the placeholder with the candidate_labels.\n * Then likelihood is estimated by using `logits_per_image`.\n * \n * @callback ZeroShotImageClassificationPipelineCallback Assign labels to the image(s) passed as inputs.\n * @param {ImagePipelineInputs} images The input images.\n * @param {string[]} candidate_labels The candidate labels for this image.\n * @param {ZeroShotImageClassificationPipelineOptions} [options] The options to use for zero-shot image classification.\n * @returns {Promise<ZeroShotImageClassificationOutput[]|ZeroShotImageClassificationOutput[][]>} An array of objects containing the predicted labels and scores.\n * \n * @typedef {TextImagePipelineConstructorArgs & ZeroShotImageClassificationPipelineCallback & Disposable} ZeroShotImageClassificationPipelineType\n */\n\n/**\n * Zero shot image classification pipeline. This pipeline predicts the class of\n * an image when you provide an image and a set of `candidate_labels`.\n * \n * **Example:** Zero shot image classification w/ `Xenova/clip-vit-base-patch32`.\n * ```javascript\n * const classifier = await pipeline('zero-shot-image-classification', 'Xenova/clip-vit-base-patch32');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/tiger.jpg';\n * const output = await classifier(url, ['tiger', 'horse', 'dog']);\n * // [\n * // { score: 0.9993917942047119, label: 'tiger' },\n * // { score: 0.0003519294841680676, label: 'horse' },\n * // { score: 0.0002562698791734874, label: 'dog' }\n * // ]\n * ```\n */\nexport class ZeroShotImageClassificationPipeline extends (/** @type {new (options: TextImagePipelineConstructorArgs) => ZeroShotImageClassificationPipelineType} */ (Pipeline)) {\n /**\n * Create a new ZeroShotImageClassificationPipeline.\n * @param {TextImagePipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n\n /** @type {ZeroShotImageClassificationPipelineCallback} */\n async _call(images, candidate_labels, {\n hypothesis_template = \"This is a photo of {}\"\n } = {}) {\n\n const isBatched = Array.isArray(images);\n const preparedImages = await prepareImages(images);\n\n // Insert label into hypothesis template \n const texts = candidate_labels.map(\n x => hypothesis_template.replace('{}', x)\n );\n\n // Run tokenization\n const text_inputs = this.tokenizer(texts, {\n padding: this.model.config.model_type === 'siglip' ? 'max_length' : true,\n truncation: true,\n });\n\n // Run processor\n const { pixel_values } = await this.processor(preparedImages);\n\n // Run model with both text and pixel inputs\n const output = await this.model({ ...text_inputs, pixel_values });\n\n const function_to_apply =\n this.model.config.model_type === 'siglip'\n ? batch => batch.sigmoid().data\n : batch => softmax(batch.data);\n\n // Compare each image with each candidate label\n const toReturn = [];\n for (const batch of output.logits_per_image) {\n // Compute softmax per image\n const probs = function_to_apply(batch);\n\n const result = [...probs].map((x, i) => ({\n score: x,\n label: candidate_labels[i]\n }));\n result.sort((a, b) => b.score - a.score); // sort by score in descending order\n toReturn.push(result);\n }\n\n return isBatched ? toReturn : toReturn[0];\n }\n}\n\n\n/**\n * @typedef {Object} ObjectDetectionPipelineSingle\n * @property {string} label The class label identified by the model.\n * @property {number} score The score attributed by the model for that label.\n * @property {BoundingBox} box The bounding box of detected object in image's original size, or as a percentage if `percentage` is set to true.\n * @typedef {ObjectDetectionPipelineSingle[]} ObjectDetectionPipelineOutput\n * \n * @typedef {Object} ObjectDetectionPipelineOptions Parameters specific to object detection pipelines.\n * @property {number} [threshold=0.9] The threshold used to filter boxes by score.\n * @property {boolean} [percentage=false] Whether to return the boxes coordinates in percentage (true) or in pixels (false).\n * \n * @callback ObjectDetectionPipelineCallback Detect objects (bounding boxes & classes) in the image(s) passed as inputs.\n * @param {ImagePipelineInputs} images The input images.\n * @param {ObjectDetectionPipelineOptions} [options] The options to use for object detection.\n * @returns {Promise<ObjectDetectionPipelineOutput|ObjectDetectionPipelineOutput[]>} A list of objects or a list of list of objects. \n * \n * @typedef {ImagePipelineConstructorArgs & ObjectDetectionPipelineCallback & Disposable} ObjectDetectionPipelineType\n */\n\n/**\n * Object detection pipeline using any `AutoModelForObjectDetection`.\n * This pipeline predicts bounding boxes of objects and their classes.\n * \n * **Example:** Run object-detection with `Xenova/detr-resnet-50`.\n * ```javascript\n * const detector = await pipeline('object-detection', 'Xenova/detr-resnet-50');\n * const img = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';\n * const output = await detector(img, { threshold: 0.9 });\n * // [{\n * // score: 0.9976370930671692,\n * // label: \"remote\",\n * // box: { xmin: 31, ymin: 68, xmax: 190, ymax: 118 }\n * // },\n * // ...\n * // {\n * // score: 0.9984092116355896,\n * // label: \"cat\",\n * // box: { xmin: 331, ymin: 19, xmax: 649, ymax: 371 }\n * // }]\n * ```\n */\nexport class ObjectDetectionPipeline extends (/** @type {new (options: ImagePipelineConstructorArgs) => ObjectDetectionPipelineType} */ (Pipeline)) {\n\n /**\n * Create a new ObjectDetectionPipeline.\n * @param {ImagePipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n\n /** @type {ObjectDetectionPipelineCallback} */\n async _call(images, {\n threshold = 0.9,\n percentage = false,\n } = {}) {\n\n const isBatched = Array.isArray(images);\n\n if (isBatched && images.length !== 1) {\n throw Error(\"Object detection pipeline currently only supports a batch size of 1.\");\n }\n const preparedImages = await prepareImages(images);\n\n const imageSizes = percentage ? null : preparedImages.map(x => [x.height, x.width]);\n\n const { pixel_values, pixel_mask } = await this.processor(preparedImages);\n const output = await this.model({ pixel_values, pixel_mask });\n\n // @ts-ignore\n const processed = this.processor.image_processor.post_process_object_detection(output, threshold, imageSizes);\n\n // Add labels\n // @ts-expect-error TS2339\n const id2label = this.model.config.id2label;\n\n // Format output\n /** @type {ObjectDetectionPipelineOutput[]} */\n const result = processed.map(batch => (\n batch.boxes.map((box, i) => ({\n score: batch.scores[i],\n label: id2label[batch.classes[i]],\n box: get_bounding_box(box, !percentage),\n }))\n ))\n\n return isBatched ? result : result[0];\n }\n}\n\n\n/**\n * @typedef {Object} ZeroShotObjectDetectionOutput\n * @property {string} label Text query corresponding to the found object.\n * @property {number} score Score corresponding to the object (between 0 and 1).\n * @property {BoundingBox} box Bounding box of the detected object in image's original size, or as a percentage if `percentage` is set to true.\n * \n * @typedef {Object} ZeroShotObjectDetectionPipelineOptions Parameters specific to zero-shot object detection pipelines.\n * @property {number} [threshold=0.1] The probability necessary to make a prediction.\n * @property {number} [top_k=null] The number of top predictions that will be returned by the pipeline.\n * If the provided number is `null` or higher than the number of predictions available, it will default\n * to the number of predictions.\n * @property {boolean} [percentage=false] Whether to return the boxes coordinates in percentage (true) or in pixels (false).\n * \n * @callback ZeroShotObjectDetectionPipelineCallback Detect objects (bounding boxes & classes) in the image(s) passed as inputs.\n * @param {ImagePipelineInputs} images The input images.\n * @param {string[]} candidate_labels What the model should recognize in the image.\n * @param {ZeroShotObjectDetectionPipelineOptions} [options] The options to use for zero-shot object detection.\n * @returns {Promise<ZeroShotObjectDetectionOutput[]|ZeroShotObjectDetectionOutput[][]>} An array of objects containing the predicted labels, scores, and bounding boxes.\n * \n * @typedef {TextImagePipelineConstructorArgs & ZeroShotObjectDetectionPipelineCallback & Disposable} ZeroShotObjectDetectionPipelineType\n */\n\n/**\n * Zero-shot object detection pipeline. This pipeline predicts bounding boxes of\n * objects when you provide an image and a set of `candidate_labels`.\n * \n * **Example:** Zero-shot object detection w/ `Xenova/owlvit-base-patch32`.\n * ```javascript\n * const detector = await pipeline('zero-shot-object-detection', 'Xenova/owlvit-base-patch32');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/astronaut.png';\n * const candidate_labels = ['human face', 'rocket', 'helmet', 'american flag'];\n * const output = await detector(url, candidate_labels);\n * // [\n * // {\n * // score: 0.24392342567443848,\n * // label: 'human face',\n * // box: { xmin: 180, ymin: 67, xmax: 274, ymax: 175 }\n * // },\n * // {\n * // score: 0.15129457414150238,\n * // label: 'american flag',\n * // box: { xmin: 0, ymin: 4, xmax: 106, ymax: 513 }\n * // },\n * // {\n * // score: 0.13649864494800568,\n * // label: 'helmet',\n * // box: { xmin: 277, ymin: 337, xmax: 511, ymax: 511 }\n * // },\n * // {\n * // score: 0.10262022167444229,\n * // label: 'rocket',\n * // box: { xmin: 352, ymin: -1, xmax: 463, ymax: 287 }\n * // }\n * // ]\n * ```\n * \n * **Example:** Zero-shot object detection w/ `Xenova/owlvit-base-patch32` (returning top 4 matches and setting a threshold).\n * ```javascript\n * const detector = await pipeline('zero-shot-object-detection', 'Xenova/owlvit-base-patch32');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/beach.png';\n * const candidate_labels = ['hat', 'book', 'sunglasses', 'camera'];\n * const output = await detector(url, candidate_labels, { top_k: 4, threshold: 0.05 });\n * // [\n * // {\n * // score: 0.1606510728597641,\n * // label: 'sunglasses',\n * // box: { xmin: 347, ymin: 229, xmax: 429, ymax: 264 }\n * // },\n * // {\n * // score: 0.08935828506946564,\n * // label: 'hat',\n * // box: { xmin: 38, ymin: 174, xmax: 258, ymax: 364 }\n * // },\n * // {\n * // score: 0.08530698716640472,\n * // label: 'camera',\n * // box: { xmin: 187, ymin: 350, xmax: 260, ymax: 411 }\n * // },\n * // {\n * // score: 0.08349756896495819,\n * // label: 'book',\n * // box: { xmin: 261, ymin: 280, xmax: 494, ymax: 425 }\n * // }\n * // ]\n * ```\n */\nexport class ZeroShotObjectDetectionPipeline extends (/** @type {new (options: TextImagePipelineConstructorArgs) => ZeroShotObjectDetectionPipelineType} */ (Pipeline)) {\n\n /**\n * Create a new ZeroShotObjectDetectionPipeline.\n * @param {TextImagePipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n\n /** @type {ZeroShotObjectDetectionPipelineCallback} */\n async _call(images, candidate_labels, {\n threshold = 0.1,\n top_k = null,\n percentage = false,\n } = {}) {\n\n const isBatched = Array.isArray(images);\n const preparedImages = await prepareImages(images);\n\n // Run tokenization\n const text_inputs = this.tokenizer(candidate_labels, {\n padding: true,\n truncation: true,\n });\n\n // Run processor\n const model_inputs = await this.processor(preparedImages);\n\n // Since non-maximum suppression is performed for exporting, we need to\n // process each image separately. For more information, see:\n // https://github.com/huggingface/optimum/blob/e3b7efb1257c011db907ef40ab340e795cc5684c/optimum/exporters/onnx/model_configs.py#L1028-L1032\n const toReturn = [];\n for (let i = 0; i < preparedImages.length; ++i) {\n const image = preparedImages[i];\n const imageSize = percentage ? null : [[image.height, image.width]];\n const pixel_values = model_inputs.pixel_values[i].unsqueeze_(0);\n\n // Run model with both text and pixel inputs\n const output = await this.model({ ...text_inputs, pixel_values });\n\n let result;\n if('post_process_grounded_object_detection' in this.processor) {\n // @ts-ignore\n const processed = this.processor.post_process_grounded_object_detection(\n output,\n text_inputs.input_ids,\n {\n // TODO: support separate threshold values\n box_threshold: threshold,\n text_threshold: threshold,\n target_sizes: imageSize,\n },\n )[0];\n result = processed.boxes.map((box, i) => ({\n score: processed.scores[i],\n label: processed.labels[i],\n box: get_bounding_box(box, !percentage),\n }))\n } else {\n // @ts-ignore\n const processed = this.processor.image_processor.post_process_object_detection(output, threshold, imageSize, true)[0];\n result = processed.boxes.map((box, i) => ({\n score: processed.scores[i],\n label: candidate_labels[processed.classes[i]],\n box: get_bounding_box(box, !percentage),\n }))\n }\n result.sort((a, b) => b.score - a.score);\n\n if (top_k !== null) {\n result = result.slice(0, top_k);\n }\n toReturn.push(result)\n }\n\n return isBatched ? toReturn : toReturn[0];\n }\n}\n\n/**\n * @typedef {Object} DocumentQuestionAnsweringSingle\n * @property {string} answer The generated text.\n * @typedef {DocumentQuestionAnsweringSingle[]} DocumentQuestionAnsweringOutput\n * \n * @callback DocumentQuestionAnsweringPipelineCallback Answer the question given as input by using the document.\n * @param {ImageInput} image The image of the document to use.\n * @param {string} question A question to ask of the document.\n * @param {Partial<import('./generation/configuration_utils.js').GenerationConfig>} [options] Additional keyword arguments to pass along to the generate method of the model.\n * @returns {Promise<DocumentQuestionAnsweringOutput|DocumentQuestionAnsweringOutput[]>} An object (or array of objects) containing the answer(s).\n * \n * @typedef {TextImagePipelineConstructorArgs & DocumentQuestionAnsweringPipelineCallback & Disposable} DocumentQuestionAnsweringPipelineType\n */\n\n/**\n * Document Question Answering pipeline using any `AutoModelForDocumentQuestionAnswering`.\n * The inputs/outputs are similar to the (extractive) question answering pipeline; however,\n * the pipeline takes an image (and optional OCR'd words/boxes) as input instead of text context.\n * \n * **Example:** Answer questions about a document with `Xenova/donut-base-finetuned-docvqa`.\n * ```javascript\n * const qa_pipeline = await pipeline('document-question-answering', 'Xenova/donut-base-finetuned-docvqa');\n * const image = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/invoice.png';\n * const question = 'What is the invoice number?';\n * const output = await qa_pipeline(image, question);\n * // [{ answer: 'us-001' }]\n * ```\n */\nexport class DocumentQuestionAnsweringPipeline extends (/** @type {new (options: TextImagePipelineConstructorArgs) => DocumentQuestionAnsweringPipelineType} */ (Pipeline)) {\n\n /**\n * Create a new DocumentQuestionAnsweringPipeline.\n * @param {TextImagePipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n\n /** @type {DocumentQuestionAnsweringPipelineCallback} */\n async _call(image, question, generate_kwargs = {}) {\n\n // NOTE: For now, we only support a batch size of 1\n\n // Preprocess image\n const preparedImage = (await prepareImages(image))[0];\n const { pixel_values } = await this.processor(preparedImage);\n\n // Run tokenization\n const task_prompt = `<s_docvqa><s_question>${question}</s_question><s_answer>`;\n const decoder_input_ids = this.tokenizer(task_prompt, {\n add_special_tokens: false,\n padding: true,\n truncation: true,\n }).input_ids;\n\n // Run model\n const output = await this.model.generate({\n inputs: pixel_values,\n // @ts-expect-error TS2339\n max_length: this.model.config.decoder.max_position_embeddings,\n decoder_input_ids,\n ...generate_kwargs,\n });\n\n // Decode output\n const decoded = this.tokenizer.batch_decode(/** @type {Tensor} */(output))[0];\n\n // Parse answer\n const match = decoded.match(/<s_answer>(.*?)<\\/s_answer>/);\n let answer = null;\n if (match && match.length >= 2) {\n answer = match[1].trim();\n }\n return [{ answer }];\n }\n}\n\n\n/**\n * @typedef {Object} VocoderOptions\n * @property {PreTrainedModel} [vocoder] The vocoder used by the pipeline (if the model uses one). If not provided, use the default HifiGan vocoder.\n * @typedef {TextAudioPipelineConstructorArgs & VocoderOptions} TextToAudioPipelineConstructorArgs\n */\n\n/**\n * @typedef {Object} TextToAudioOutput\n * @property {Float32Array} audio The generated audio waveform.\n * @property {number} sampling_rate The sampling rate of the generated audio waveform.\n * \n * @typedef {Object} TextToAudioPipelineOptions Parameters specific to text-to-audio pipelines.\n * @property {Tensor|Float32Array|string|URL} [speaker_embeddings=null] The speaker embeddings (if the model requires it).\n * \n * @callback TextToAudioPipelineCallback Generates speech/audio from the inputs.\n * @param {string|string[]} texts The text(s) to generate.\n * @param {TextToAudioPipelineOptions} options Parameters passed to the model generation/forward method.\n * @returns {Promise<TextToAudioOutput>} An object containing the generated audio and sampling rate.\n * \n * @typedef {TextToAudioPipelineConstructorArgs & TextToAudioPipelineCallback & Disposable} TextToAudioPipelineType\n */\n\n/**\n * Text-to-audio generation pipeline using any `AutoModelForTextToWaveform` or `AutoModelForTextToSpectrogram`.\n * This pipeline generates an audio file from an input text and optional other conditional inputs.\n * \n * **Example:** Generate audio from text with `Xenova/speecht5_tts`.\n * ```javascript\n * const synthesizer = await pipeline('text-to-speech', 'Xenova/speecht5_tts', { quantized: false });\n * const speaker_embeddings = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/speaker_embeddings.bin';\n * const out = await synthesizer('Hello, my dog is cute', { speaker_embeddings });\n * // RawAudio {\n * // audio: Float32Array(26112) [-0.00005657337896991521, 0.00020583874720614403, ...],\n * // sampling_rate: 16000\n * // }\n * ```\n * \n * You can then save the audio to a .wav file with the `wavefile` package:\n * ```javascript\n * import wavefile from 'wavefile';\n * import fs from 'fs';\n * \n * const wav = new wavefile.WaveFile();\n * wav.fromScratch(1, out.sampling_rate, '32f', out.audio);\n * fs.writeFileSync('out.wav', wav.toBuffer());\n * ```\n * \n * **Example:** Multilingual speech generation with `Xenova/mms-tts-fra`. See [here](https://huggingface.co/models?pipeline_tag=text-to-speech&other=vits&sort=trending) for the full list of available languages (1107).\n * ```javascript\n * const synthesizer = await pipeline('text-to-speech', 'Xenova/mms-tts-fra');\n * const out = await synthesizer('Bonjour');\n * // RawAudio {\n * // audio: Float32Array(23808) [-0.00037693005288019776, 0.0003325853613205254, ...],\n * // sampling_rate: 16000\n * // }\n * ```\n */\nexport class TextToAudioPipeline extends (/** @type {new (options: TextToAudioPipelineConstructorArgs) => TextToAudioPipelineType} */ (Pipeline)) {\n DEFAULT_VOCODER_ID = \"Xenova/speecht5_hifigan\"\n\n /**\n * Create a new TextToAudioPipeline.\n * @param {TextToAudioPipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n\n // TODO: Find a better way for `pipeline` to set the default vocoder\n this.vocoder = options.vocoder ?? null;\n }\n\n\n /** @type {TextToAudioPipelineCallback} */\n async _call(text_inputs, {\n speaker_embeddings = null,\n } = {}) {\n\n // If this.processor is not set, we are using a `AutoModelForTextToWaveform` model\n if (this.processor) {\n return this._call_text_to_spectrogram(text_inputs, { speaker_embeddings });\n } else {\n return this._call_text_to_waveform(text_inputs);\n }\n }\n\n async _call_text_to_waveform(text_inputs) {\n\n // Run tokenization\n const inputs = this.tokenizer(text_inputs, {\n padding: true,\n truncation: true,\n });\n\n // Generate waveform\n const { waveform } = await this.model(inputs);\n\n // @ts-expect-error TS2339\n const sampling_rate = this.model.config.sampling_rate;\n return new RawAudio(\n waveform.data,\n sampling_rate,\n )\n }\n\n async _call_text_to_spectrogram(text_inputs, { speaker_embeddings }) {\n\n // Load vocoder, if not provided\n if (!this.vocoder) {\n console.log('No vocoder specified, using default HifiGan vocoder.');\n this.vocoder = await AutoModel.from_pretrained(this.DEFAULT_VOCODER_ID, { dtype: 'fp32' });\n }\n\n // Load speaker embeddings as Float32Array from path/URL\n if (typeof speaker_embeddings === 'string' || speaker_embeddings instanceof URL) {\n // Load from URL with fetch\n speaker_embeddings = new Float32Array(\n await (await fetch(speaker_embeddings)).arrayBuffer()\n );\n }\n\n if (speaker_embeddings instanceof Float32Array) {\n speaker_embeddings = new Tensor(\n 'float32',\n speaker_embeddings,\n [1, speaker_embeddings.length]\n )\n } else if (!(speaker_embeddings instanceof Tensor)) {\n throw new Error(\"Speaker embeddings must be a `Tensor`, `Float32Array`, `string`, or `URL`.\")\n }\n\n // Run tokenization\n const { input_ids } = this.tokenizer(text_inputs, {\n padding: true,\n truncation: true,\n });\n\n // NOTE: At this point, we are guaranteed that `speaker_embeddings` is a `Tensor`\n // @ts-ignore\n const { waveform } = await this.model.generate_speech(input_ids, speaker_embeddings, { vocoder: this.vocoder });\n\n const sampling_rate = this.processor.feature_extractor.config.sampling_rate;\n return new RawAudio(\n waveform.data,\n sampling_rate,\n )\n }\n}\n\n/**\n * @callback ImageToImagePipelineCallback Transform the image(s) passed as inputs.\n * @param {ImagePipelineInputs} images The images to transform.\n * @returns {Promise<RawImage|RawImage[]>} The transformed image or list of images.\n * \n * @typedef {ImagePipelineConstructorArgs & ImageToImagePipelineCallback & Disposable} ImageToImagePipelineType\n */\n\n/**\n * Image to Image pipeline using any `AutoModelForImageToImage`. This pipeline generates an image based on a previous image input.\n * \n * **Example:** Super-resolution w/ `Xenova/swin2SR-classical-sr-x2-64`\n * ```javascript\n * const upscaler = await pipeline('image-to-image', 'Xenova/swin2SR-classical-sr-x2-64');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/butterfly.jpg';\n * const output = await upscaler(url);\n * // RawImage {\n * // data: Uint8Array(786432) [ 41, 31, 24, 43, ... ],\n * // width: 512,\n * // height: 512,\n * // channels: 3\n * // }\n * ```\n */\nexport class ImageToImagePipeline extends (/** @type {new (options: ImagePipelineConstructorArgs) => ImageToImagePipelineType} */ (Pipeline)) {\n /**\n * Create a new ImageToImagePipeline.\n * @param {ImagePipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n\n /** @type {ImageToImagePipelineCallback} */\n async _call(images) {\n\n const preparedImages = await prepareImages(images);\n const inputs = await this.processor(preparedImages);\n const outputs = await this.model(inputs);\n\n /** @type {RawImage[]} */\n const toReturn = [];\n for (const batch of outputs.reconstruction) {\n const output = batch.squeeze().clamp_(0, 1).mul_(255).round_().to('uint8');\n toReturn.push(RawImage.fromTensor(output));\n }\n\n return toReturn.length > 1 ? toReturn : toReturn[0];\n }\n}\n\n/**\n * @typedef {Object} DepthEstimationPipelineOutput\n * @property {Tensor} predicted_depth The raw depth map predicted by the model.\n * @property {RawImage} depth The processed depth map as an image (with the same size as the input image).\n * \n * @callback DepthEstimationPipelineCallback Predicts the depth for the image(s) passed as inputs.\n * @param {ImagePipelineInputs} images The images to compute depth for.\n * @returns {Promise<DepthEstimationPipelineOutput|DepthEstimationPipelineOutput[]>} An image or a list of images containing result(s).\n * \n * @typedef {ImagePipelineConstructorArgs & DepthEstimationPipelineCallback & Disposable} DepthEstimationPipelineType\n */\n\n/**\n * Depth estimation pipeline using any `AutoModelForDepthEstimation`. This pipeline predicts the depth of an image.\n * \n * **Example:** Depth estimation w/ `Xenova/dpt-hybrid-midas`\n * ```javascript\n * const depth_estimator = await pipeline('depth-estimation', 'Xenova/dpt-hybrid-midas');\n * const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';\n * const out = await depth_estimator(url);\n * // {\n * // predicted_depth: Tensor {\n * // dims: [ 384, 384 ],\n * // type: 'float32',\n * // data: Float32Array(147456) [ 542.859130859375, 545.2833862304688, 546.1649169921875, ... ],\n * // size: 147456\n * // },\n * // depth: RawImage {\n * // data: Uint8Array(307200) [ 86, 86, 86, ... ],\n * // width: 640,\n * // height: 480,\n * // channels: 1\n * // }\n * // }\n * ```\n */\nexport class DepthEstimationPipeline extends (/** @type {new (options: ImagePipelineConstructorArgs) => DepthEstimationPipelineType} */ (Pipeline)) {\n /**\n * Create a new DepthEstimationPipeline.\n * @param {ImagePipelineConstructorArgs} options An object used to instantiate the pipeline.\n */\n constructor(options) {\n super(options);\n }\n\n /** @type {DepthEstimationPipelineCallback} */\n async _call(images) {\n\n const preparedImages = await prepareImages(images);\n\n const inputs = await this.processor(preparedImages);\n const { predicted_depth } = await this.model(inputs);\n\n const toReturn = [];\n for (let i = 0; i < preparedImages.length; ++i) {\n const batch = predicted_depth[i];\n const [height, width] = batch.dims.slice(-2);\n const [new_width, new_height] = preparedImages[i].size;\n\n // Interpolate to original size\n const prediction = (await interpolate_4d(batch.view(1, 1, height, width), {\n size: [new_height, new_width],\n mode: 'bilinear',\n })).view(new_height, new_width);\n\n const minval = /** @type {number} */(prediction.min().item());\n const maxval = /** @type {number} */(prediction.max().item());\n const formatted = prediction.sub(minval).div_(maxval - minval).mul_(255).to('uint8').unsqueeze(0);\n const depth = RawImage.fromTensor(formatted);\n toReturn.push({\n predicted_depth: prediction,\n depth,\n });\n }\n\n return toReturn.length > 1 ? toReturn : toReturn[0];\n }\n}\n\nconst SUPPORTED_TASKS = Object.freeze({\n \"text-classification\": {\n \"tokenizer\": AutoTokenizer,\n \"pipeline\": TextClassificationPipeline,\n \"model\": AutoModelForSequenceClassification,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"distilbert-base-uncased-finetuned-sst-2-english\",\n \"model\": \"Xenova/distilbert-base-uncased-finetuned-sst-2-english\",\n },\n \"type\": \"text\",\n },\n \"token-classification\": {\n \"tokenizer\": AutoTokenizer,\n \"pipeline\": TokenClassificationPipeline,\n \"model\": AutoModelForTokenClassification,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"Davlan/bert-base-multilingual-cased-ner-hrl\",\n \"model\": \"Xenova/bert-base-multilingual-cased-ner-hrl\",\n },\n \"type\": \"text\",\n },\n \"question-answering\": {\n \"tokenizer\": AutoTokenizer,\n \"pipeline\": QuestionAnsweringPipeline,\n \"model\": AutoModelForQuestionAnswering,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"distilbert-base-cased-distilled-squad\",\n \"model\": \"Xenova/distilbert-base-cased-distilled-squad\",\n },\n \"type\": \"text\",\n },\n\n \"fill-mask\": {\n \"tokenizer\": AutoTokenizer,\n \"pipeline\": FillMaskPipeline,\n \"model\": AutoModelForMaskedLM,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"bert-base-uncased\",\n \"model\": \"Xenova/bert-base-uncased\",\n },\n \"type\": \"text\",\n },\n \"summarization\": {\n \"tokenizer\": AutoTokenizer,\n \"pipeline\": SummarizationPipeline,\n \"model\": AutoModelForSeq2SeqLM,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"sshleifer/distilbart-cnn-6-6\",\n \"model\": \"Xenova/distilbart-cnn-6-6\",\n },\n \"type\": \"text\",\n },\n \"translation\": {\n \"tokenizer\": AutoTokenizer,\n \"pipeline\": TranslationPipeline,\n \"model\": AutoModelForSeq2SeqLM,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"t5-small\",\n \"model\": \"Xenova/t5-small\",\n },\n \"type\": \"text\",\n },\n \"text2text-generation\": {\n \"tokenizer\": AutoTokenizer,\n \"pipeline\": Text2TextGenerationPipeline,\n \"model\": AutoModelForSeq2SeqLM,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"google/flan-t5-small\",\n \"model\": \"Xenova/flan-t5-small\",\n },\n \"type\": \"text\",\n },\n \"text-generation\": {\n \"tokenizer\": AutoTokenizer,\n \"pipeline\": TextGenerationPipeline,\n \"model\": AutoModelForCausalLM,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"gpt2\",\n \"model\": \"Xenova/gpt2\",\n },\n \"type\": \"text\",\n },\n \"zero-shot-classification\": {\n \"tokenizer\": AutoTokenizer,\n \"pipeline\": ZeroShotClassificationPipeline,\n \"model\": AutoModelForSequenceClassification,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"typeform/distilbert-base-uncased-mnli\",\n \"model\": \"Xenova/distilbert-base-uncased-mnli\",\n },\n \"type\": \"text\",\n },\n \"audio-classification\": {\n \"pipeline\": AudioClassificationPipeline,\n \"model\": AutoModelForAudioClassification,\n \"processor\": AutoProcessor,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"superb/wav2vec2-base-superb-ks\",\n \"model\": \"Xenova/wav2vec2-base-superb-ks\",\n },\n \"type\": \"audio\",\n },\n \"zero-shot-audio-classification\": {\n \"tokenizer\": AutoTokenizer,\n \"pipeline\": ZeroShotAudioClassificationPipeline,\n \"model\": AutoModel,\n \"processor\": AutoProcessor,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"laion/clap-htsat-fused\",\n \"model\": \"Xenova/clap-htsat-unfused\",\n },\n \"type\": \"multimodal\",\n },\n \"automatic-speech-recognition\": {\n \"tokenizer\": AutoTokenizer,\n \"pipeline\": AutomaticSpeechRecognitionPipeline,\n \"model\": [AutoModelForSpeechSeq2Seq, AutoModelForCTC],\n \"processor\": AutoProcessor,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"openai/whisper-tiny.en\",\n \"model\": \"Xenova/whisper-tiny.en\",\n },\n \"type\": \"multimodal\",\n },\n \"text-to-audio\": {\n \"tokenizer\": AutoTokenizer,\n \"pipeline\": TextToAudioPipeline,\n \"model\": [AutoModelForTextToWaveform, AutoModelForTextToSpectrogram],\n \"processor\": [AutoProcessor, /* Some don't use a processor */ null],\n \"default\": {\n // TODO: replace with original\n // \"model\": \"microsoft/speecht5_tts\",\n \"model\": \"Xenova/speecht5_tts\",\n },\n \"type\": \"text\",\n },\n \"image-to-text\": {\n \"tokenizer\": AutoTokenizer,\n \"pipeline\": ImageToTextPipeline,\n \"model\": AutoModelForVision2Seq,\n \"processor\": AutoProcessor,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"nlpconnect/vit-gpt2-image-captioning\",\n \"model\": \"Xenova/vit-gpt2-image-captioning\",\n },\n \"type\": \"multimodal\",\n },\n\n \"image-classification\": {\n // no tokenizer\n \"pipeline\": ImageClassificationPipeline,\n \"model\": AutoModelForImageClassification,\n \"processor\": AutoProcessor,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"google/vit-base-patch16-224\",\n \"model\": \"Xenova/vit-base-patch16-224\",\n },\n \"type\": \"multimodal\",\n },\n\n \"image-segmentation\": {\n // no tokenizer\n \"pipeline\": ImageSegmentationPipeline,\n \"model\": [AutoModelForImageSegmentation, AutoModelForSemanticSegmentation, AutoModelForUniversalSegmentation],\n \"processor\": AutoProcessor,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"facebook/detr-resnet-50-panoptic\",\n \"model\": \"Xenova/detr-resnet-50-panoptic\",\n },\n \"type\": \"multimodal\",\n },\n\n \"zero-shot-image-classification\": {\n \"tokenizer\": AutoTokenizer,\n \"pipeline\": ZeroShotImageClassificationPipeline,\n \"model\": AutoModel,\n \"processor\": AutoProcessor,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"openai/clip-vit-base-patch32\",\n \"model\": \"Xenova/clip-vit-base-patch32\",\n },\n \"type\": \"multimodal\",\n },\n\n \"object-detection\": {\n // no tokenizer\n \"pipeline\": ObjectDetectionPipeline,\n \"model\": AutoModelForObjectDetection,\n \"processor\": AutoProcessor,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"facebook/detr-resnet-50\",\n \"model\": \"Xenova/detr-resnet-50\",\n },\n \"type\": \"multimodal\",\n },\n \"zero-shot-object-detection\": {\n \"tokenizer\": AutoTokenizer,\n \"pipeline\": ZeroShotObjectDetectionPipeline,\n \"model\": AutoModelForZeroShotObjectDetection,\n \"processor\": AutoProcessor,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"google/owlvit-base-patch32\",\n \"model\": \"Xenova/owlvit-base-patch32\",\n },\n \"type\": \"multimodal\",\n },\n \"document-question-answering\": {\n \"tokenizer\": AutoTokenizer,\n \"pipeline\": DocumentQuestionAnsweringPipeline,\n \"model\": AutoModelForDocumentQuestionAnswering,\n \"processor\": AutoProcessor,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"naver-clova-ix/donut-base-finetuned-docvqa\",\n \"model\": \"Xenova/donut-base-finetuned-docvqa\",\n },\n \"type\": \"multimodal\",\n },\n \"image-to-image\": {\n // no tokenizer\n \"pipeline\": ImageToImagePipeline,\n \"model\": AutoModelForImageToImage,\n \"processor\": AutoProcessor,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"caidas/swin2SR-classical-sr-x2-64\",\n \"model\": \"Xenova/swin2SR-classical-sr-x2-64\",\n },\n \"type\": \"image\",\n },\n \"depth-estimation\": {\n // no tokenizer\n \"pipeline\": DepthEstimationPipeline,\n \"model\": AutoModelForDepthEstimation,\n \"processor\": AutoProcessor,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"Intel/dpt-large\",\n \"model\": \"Xenova/dpt-large\",\n },\n \"type\": \"image\",\n },\n\n // This task serves as a useful interface for dealing with sentence-transformers (https://huggingface.co/sentence-transformers).\n \"feature-extraction\": {\n \"tokenizer\": AutoTokenizer,\n \"pipeline\": FeatureExtractionPipeline,\n \"model\": AutoModel,\n \"default\": {\n // TODO: replace with original\n // \"model\": \"sentence-transformers/all-MiniLM-L6-v2\",\n \"model\": \"Xenova/all-MiniLM-L6-v2\",\n },\n \"type\": \"text\",\n },\n \"image-feature-extraction\": {\n \"processor\": AutoProcessor,\n \"pipeline\": ImageFeatureExtractionPipeline,\n \"model\": [AutoModelForImageFeatureExtraction, AutoModel],\n \"default\": {\n // TODO: replace with original\n // \"model\": \"google/vit-base-patch16-224\",\n \"model\": \"Xenova/vit-base-patch16-224-in21k\",\n },\n \"type\": \"image\",\n },\n})\n\n\n// TODO: Add types for TASK_ALIASES\nconst TASK_ALIASES = Object.freeze({\n \"sentiment-analysis\": \"text-classification\",\n \"ner\": \"token-classification\",\n // \"vqa\": \"visual-question-answering\", // TODO: Add\n \"asr\": \"automatic-speech-recognition\",\n \"text-to-speech\": \"text-to-audio\",\n\n // Add for backwards compatibility\n \"embeddings\": \"feature-extraction\",\n});\n\n/**\n * @typedef {keyof typeof SUPPORTED_TASKS} TaskType\n * @typedef {keyof typeof TASK_ALIASES} AliasType\n * @typedef {TaskType | AliasType} PipelineType All possible pipeline types.\n * @typedef {{[K in TaskType]: InstanceType<typeof SUPPORTED_TASKS[K][\"pipeline\"]>}} SupportedTasks A mapping of pipeline names to their corresponding pipeline classes.\n * @typedef {{[K in AliasType]: InstanceType<typeof SUPPORTED_TASKS[TASK_ALIASES[K]][\"pipeline\"]>}} AliasTasks A mapping from pipeline aliases to their corresponding pipeline classes.\n * @typedef {SupportedTasks & AliasTasks} AllTasks A mapping from all pipeline names and aliases to their corresponding pipeline classes.\n */\n\n/**\n * Utility factory method to build a `Pipeline` object.\n * \n * @template {PipelineType} T The type of pipeline to return.\n * @param {T} task The task defining which pipeline will be returned. Currently accepted tasks are:\n * - `\"audio-classification\"`: will return a `AudioClassificationPipeline`.\n * - `\"automatic-speech-recognition\"`: will return a `AutomaticSpeechRecognitionPipeline`.\n * - `\"depth-estimation\"`: will return a `DepthEstimationPipeline`.\n * - `\"document-question-answering\"`: will return a `DocumentQuestionAnsweringPipeline`.\n * - `\"feature-extraction\"`: will return a `FeatureExtractionPipeline`.\n * - `\"fill-mask\"`: will return a `FillMaskPipeline`.\n * - `\"image-classification\"`: will return a `ImageClassificationPipeline`.\n * - `\"image-segmentation\"`: will return a `ImageSegmentationPipeline`.\n * - `\"image-to-text\"`: will return a `ImageToTextPipeline`.\n * - `\"object-detection\"`: will return a `ObjectDetectionPipeline`.\n * - `\"question-answering\"`: will return a `QuestionAnsweringPipeline`.\n * - `\"summarization\"`: will return a `SummarizationPipeline`.\n * - `\"text2text-generation\"`: will return a `Text2TextGenerationPipeline`.\n * - `\"text-classification\"` (alias \"sentiment-analysis\" available): will return a `TextClassificationPipeline`.\n * - `\"text-generation\"`: will return a `TextGenerationPipeline`.\n * - `\"token-classification\"` (alias \"ner\" available): will return a `TokenClassificationPipeline`.\n * - `\"translation\"`: will return a `TranslationPipeline`.\n * - `\"translation_xx_to_yy\"`: will return a `TranslationPipeline`.\n * - `\"zero-shot-classification\"`: will return a `ZeroShotClassificationPipeline`.\n * - `\"zero-shot-audio-classification\"`: will return a `ZeroShotAudioClassificationPipeline`.\n * - `\"zero-shot-image-classification\"`: will return a `ZeroShotImageClassificationPipeline`.\n * - `\"zero-shot-object-detection\"`: will return a `ZeroShotObjectDetectionPipeline`.\n * @param {string} [model=null] The name of the pre-trained model to use. If not specified, the default model for the task will be used.\n * @param {import('./utils/hub.js').PretrainedModelOptions} [options] Optional parameters for the pipeline.\n * @returns {Promise<AllTasks[T]>} A Pipeline object for the specified task.\n * @throws {Error} If an unsupported pipeline is requested.\n */\nexport async function pipeline(\n task,\n model = null,\n {\n progress_callback = null,\n config = null,\n cache_dir = null,\n local_files_only = false,\n revision = 'main',\n device = null,\n dtype = null,\n model_file_name = null,\n session_options = {},\n } = {}\n) {\n // Helper method to construct pipeline\n\n // Apply aliases\n // @ts-ignore\n task = TASK_ALIASES[task] ?? task;\n\n // Get pipeline info\n const pipelineInfo = SUPPORTED_TASKS[task.split('_', 1)[0]];\n if (!pipelineInfo) {\n throw Error(`Unsupported pipeline: ${task}. Must be one of [${Object.keys(SUPPORTED_TASKS)}]`)\n }\n\n // Use model if specified, otherwise, use default\n if (!model) {\n model = pipelineInfo.default.model\n console.log(`No model specified. Using default model: \"${model}\".`);\n }\n\n const pretrainedOptions = {\n progress_callback,\n config,\n cache_dir,\n local_files_only,\n revision,\n device,\n dtype,\n model_file_name,\n session_options,\n }\n\n const classes = new Map([\n ['tokenizer', pipelineInfo.tokenizer],\n ['model', pipelineInfo.model],\n ['processor', pipelineInfo.processor],\n ]);\n\n // Load model, tokenizer, and processor (if they exist)\n const results = await loadItems(classes, model, pretrainedOptions);\n results.task = task;\n\n dispatchCallback(progress_callback, {\n 'status': 'ready',\n 'task': task,\n 'model': model,\n });\n\n const pipelineClass = pipelineInfo.pipeline;\n return new pipelineClass(results);\n}\n\n\n/**\n * Helper function to get applicable model, tokenizer, or processor classes for a given model.\n * @param {Map<string, any>} mapping The mapping of names to classes, arrays of classes, or null.\n * @param {string} model The name of the model to load.\n * @param {import('./utils/hub.js').PretrainedOptions} pretrainedOptions The options to pass to the `from_pretrained` method.\n * @private\n */\nasync function loadItems(mapping, model, pretrainedOptions) {\n\n const result = Object.create(null);\n\n /**@type {Promise[]} */\n const promises = [];\n for (const [name, cls] of mapping.entries()) {\n if (!cls) continue;\n\n /**@type {Promise} */\n let promise;\n if (Array.isArray(cls)) {\n promise = new Promise(async (resolve, reject) => {\n let e;\n for (const c of cls) {\n if (c === null) {\n // If null, we resolve it immediately, meaning the relevant\n // class was not found, but it is optional.\n resolve(null);\n return;\n }\n try {\n resolve(await c.from_pretrained(model, pretrainedOptions));\n return;\n } catch (err) {\n if (err.message?.includes('Unsupported model type')) {\n // If the error is due to an unsupported model type, we\n // save the error and try the next class.\n e = err;\n } else if (err.message?.includes('Could not locate file')) {\n e = err;\n } else {\n reject(err);\n return;\n }\n\n }\n }\n reject(e);\n })\n } else {\n promise = cls.from_pretrained(model, pretrainedOptions);\n }\n\n result[name] = promise;\n promises.push(promise);\n }\n\n // Wait for all promises to resolve (in parallel)\n await Promise.all(promises);\n\n // Then assign to result\n for (const [name, promise] of Object.entries(result)) {\n result[name] = await promise;\n }\n\n return result;\n}\n", "\n/**\n * @file Tokenizers are used to prepare textual inputs for a model.\n * \n * **Example:** Create an `AutoTokenizer` and use it to tokenize a sentence.\n * This will automatically detect the tokenizer type based on the tokenizer class defined in `tokenizer.json`.\n * ```javascript\n * import { AutoTokenizer } from '@huggingface/transformers';\n * \n * const tokenizer = await AutoTokenizer.from_pretrained('Xenova/bert-base-uncased');\n * const { input_ids } = await tokenizer('I love transformers!');\n * // Tensor {\n * // data: BigInt64Array(6) [101n, 1045n, 2293n, 19081n, 999n, 102n],\n * // dims: [1, 6],\n * // type: 'int64',\n * // size: 6,\n * // }\n * ```\n * \n * @module tokenizers\n */\nimport {\n Callable,\n} from './utils/generic.js';\n\nimport {\n reverseDictionary,\n escapeRegExp,\n isIntegralNumber,\n mergeArrays,\n len,\n} from './utils/core.js';\n\nimport {\n getModelJSON,\n} from './utils/hub.js';\n\nimport { max, min, round } from './utils/maths.js';\nimport { Tensor } from './utils/tensor.js';\n\nimport {\n PriorityQueue,\n TokenLattice,\n CharTrie,\n} from './utils/data-structures.js';\n\nimport { Template } from '@huggingface/jinja';\n\nimport {\n WHISPER_LANGUAGE_MAPPING\n} from './models/whisper/common_whisper.js';\n\n/**\n * @typedef {Object} TokenizerProperties Additional tokenizer-specific properties.\n * @property {boolean} [legacy=false] Whether or not the `legacy` behavior of the tokenizer should be used.\n * @typedef {import('./utils/hub.js').PretrainedOptions & TokenizerProperties} PretrainedTokenizerOptions\n */\n\n/**\n * Loads a tokenizer from the specified path.\n * @param {string} pretrained_model_name_or_path The path to the tokenizer directory.\n * @param {PretrainedTokenizerOptions} options Additional options for loading the tokenizer.\n * @returns {Promise<any[]>} A promise that resolves with information about the loaded tokenizer.\n */\nasync function loadTokenizer(pretrained_model_name_or_path, options) {\n\n const info = await Promise.all([\n getModelJSON(pretrained_model_name_or_path, 'tokenizer.json', true, options),\n getModelJSON(pretrained_model_name_or_path, 'tokenizer_config.json', true, options),\n ])\n\n // Override legacy option if `options.legacy` is not null\n if (options.legacy !== null) {\n info[1].legacy = options.legacy;\n }\n return info;\n}\n\n\n/**\n * Helper function to split a string on a regex, but keep the delimiters.\n * This is required, because the JavaScript `.split()` method does not keep the delimiters,\n * and wrapping in a capturing group causes issues with existing capturing groups (due to nesting).\n * @param {string} text The text to split.\n * @param {RegExp} regex The regex to split on.\n * @returns {string[]} The split string.\n */\nfunction regexSplit(text, regex) {\n const result = [];\n let prev = 0;\n for (const match of text.matchAll(regex)) {\n const fullMatch = match[0];\n if (prev < match.index) {\n result.push(text.slice(prev, match.index));\n }\n if (fullMatch.length > 0) {\n result.push(fullMatch);\n }\n prev = match.index + fullMatch.length;\n }\n if (prev < text.length) {\n result.push(text.slice(prev));\n }\n return result;\n}\n\n\n/**\n * Helper method to construct a pattern from a config object.\n * @param {Object} pattern The pattern object.\n * @param {boolean} invert Whether to invert the pattern.\n * @returns {RegExp|null} The compiled pattern.\n */\nfunction createPattern(pattern, invert = true) {\n\n if (pattern.Regex !== undefined) {\n // In certain cases, the pattern may contain unnecessary escape sequences (e.g., \\# or \\& or \\~).\n // i.e., valid in Python (where the patterns are exported from) but invalid in JavaScript (where the patterns are parsed).\n // This isn't an issue when creating the regex w/o the 'u' flag, but it is when the 'u' flag is used.\n // For this reason, it is necessary to remove these backslashes before creating the regex.\n // See https://stackoverflow.com/a/63007777/13989043 for more information\n let regex = pattern.Regex.replace(/\\\\([#&~])/g, '$1'); // TODO: add more characters to this list if necessary\n\n // We also handle special cases where the regex contains invalid (non-JS compatible) syntax.\n for (const [key, value] of PROBLEMATIC_REGEX_MAP) {\n regex = regex.replaceAll(key, value);\n }\n\n return new RegExp(regex, 'gu');\n\n } else if (pattern.String !== undefined) {\n const escaped = escapeRegExp(pattern.String);\n // NOTE: if invert is true, we wrap the pattern in a group so that it is kept when performing .split()\n return new RegExp(invert ? escaped : `(${escaped})`, 'gu');\n\n } else {\n console.warn('Unknown pattern type:', pattern)\n return null;\n }\n}\n\n/**\n * Helper function to convert an Object to a Map\n * @param {Object} obj The object to convert.\n * @returns {Map<string, any>} The map.\n */\nfunction objectToMap(obj) {\n return new Map(Object.entries(obj));\n}\n\n/**\n * Helper function to convert a tensor to a list before decoding.\n * @param {Tensor} tensor The tensor to convert.\n * @returns {number[]} The tensor as a list.\n */\nfunction prepareTensorForDecode(tensor) {\n const dims = tensor.dims;\n switch (dims.length) {\n case 1:\n return tensor.tolist();\n case 2:\n if (dims[0] !== 1) {\n throw new Error('Unable to decode tensor with `batch size !== 1`. Use `tokenizer.batch_decode(...)` for batched inputs.');\n }\n return tensor.tolist()[0];\n default:\n throw new Error(`Expected tensor to have 1-2 dimensions, got ${dims.length}.`)\n }\n}\n\n/**\n * Clean up a list of simple English tokenization artifacts like spaces before punctuations and abbreviated forms\n * @param {string} text The text to clean up.\n * @returns {string} The cleaned up text.\n */\nfunction clean_up_tokenization(text) {\n // Clean up a list of simple English tokenization artifacts\n // like spaces before punctuations and abbreviated forms\n return text.replace(/ \\./g, '.')\n .replace(/ \\?/g, '?')\n .replace(/ \\!/g, '!')\n .replace(/ ,/g, ',')\n .replace(/ \\' /g, \"'\")\n .replace(/ n\\'t/g, \"n't\")\n .replace(/ \\'m/g, \"'m\")\n .replace(/ \\'s/g, \"'s\")\n .replace(/ \\'ve/g, \"'ve\")\n .replace(/ \\'re/g, \"'re\");\n}\n\n/**\n * Helper function to remove accents from a string.\n * @param {string} text The text to remove accents from.\n * @returns {string} The text with accents removed.\n */\nfunction remove_accents(text) {\n return text.replace(/\\p{M}/gu, '');\n}\n\n/**\n * Helper function to lowercase a string and remove accents.\n * @param {string} text The text to lowercase and remove accents from.\n * @returns {string} The lowercased text with accents removed.\n */\nfunction lowercase_and_remove_accent(text) {\n return remove_accents(text.toLowerCase());\n}\n\n\n/**\n * Checks whether the given Unicode codepoint represents a CJK (Chinese, Japanese, or Korean) character.\n *\n * A \"chinese character\" is defined as anything in the CJK Unicode block:\n * https://en.wikipedia.org/wiki/CJK_Unified_Ideographs_(Unicode_block)\n *\n * Note that the CJK Unicode block is NOT all Japanese and Korean characters, despite its name.\n * The modern Korean Hangul alphabet is a different block, as is Japanese Hiragana and Katakana.\n * Those alphabets are used to write space-separated words, so they are not treated specially\n * and are handled like all other languages.\n *\n * @param {number|bigint} cp The Unicode codepoint to check.\n * @returns {boolean} True if the codepoint represents a CJK character, false otherwise.\n */\nexport function is_chinese_char(cp) {\n return (\n (cp >= 0x4E00 && cp <= 0x9FFF)\n || (cp >= 0x3400 && cp <= 0x4DBF)\n || (cp >= 0x20000 && cp <= 0x2A6DF)\n || (cp >= 0x2A700 && cp <= 0x2B73F)\n || (cp >= 0x2B740 && cp <= 0x2B81F)\n || (cp >= 0x2B820 && cp <= 0x2CEAF)\n || (cp >= 0xF900 && cp <= 0xFAFF)\n || (cp >= 0x2F800 && cp <= 0x2FA1F)\n )\n}\n\n/**\n * Helper function to fuse consecutive unknown tokens.\n * @param {string[]} arr The list of input tokens\n * @param {Map<string, any>} tokens_to_ids The mapping from tokens to token ids.\n * @param {number} unk_token_id The value to fuse on.\n * @private\n */\nfunction fuse_unk(arr, tokens_to_ids, unk_token_id) {\n const fused = [];\n let i = 0;\n while (i < arr.length) {\n fused.push(arr[i])\n if ((tokens_to_ids.get(arr[i]) ?? unk_token_id) !== unk_token_id) {\n ++i;\n continue;\n }\n\n while (++i < arr.length && (tokens_to_ids.get(arr[i]) ?? unk_token_id) === unk_token_id) {\n if (tokens_to_ids.get(fused.at(-1)) !== unk_token_id) {\n fused[fused.length - 1] += arr[i];\n }\n }\n }\n\n return fused;\n}\n\n/**\n * Split a string on whitespace.\n * @param {string} text The text to split.\n * @returns {string[]} The split string.\n */\nfunction whitespace_split(text) {\n return text.match(/\\S+/g) || [];\n}\n\nconst PUNCTUATION_REGEX = '\\\\p{P}\\\\u0021-\\\\u002F\\\\u003A-\\\\u0040\\\\u005B-\\\\u0060\\\\u007B-\\\\u007E';\nconst PUNCTUATION_ONLY_REGEX = new RegExp(`^[${PUNCTUATION_REGEX}]+$`, 'gu');\nconst BLOOM_SPLIT_CHARS = '.,!?\\u2026\\u3002\\uff0c\\u3001\\u0964\\u06d4\\u060c';\n\n// A mapping of regex patterns to their equivalent (but possibly longer) JS-compatible versions.\nconst PROBLEMATIC_REGEX_MAP = new Map([\n // This uses the case insensitive group modifier, which is not supported in JavaScript.\n // When parsing the regex, an \"Invalid group\" error is thrown.\n [\"(?i:'s|'t|'re|'ve|'m|'ll|'d)\", \"(?:'([sS]|[tT]|[rR][eE]|[vV][eE]|[mM]|[lL][lL]|[dD]))\"],\n\n // Used to override the default (invalid) regex of the bloom pretokenizer.\n // For more information, see https://github.com/huggingface/transformers.js/issues/94\n [` ?[^(\\\\s|[${BLOOM_SPLIT_CHARS}])]+`, ` ?[^\\\\s${BLOOM_SPLIT_CHARS}]+`],\n])\n\n\n/**\n * Represent a token added by the user on top of the existing Model vocabulary.\n * AddedToken can be configured to specify the behavior they should have in various situations like:\n * - Whether they should only match single words\n * - Whether to include any whitespace on its left or right\n */\nclass AddedToken {\n /**\n * Creates a new instance of AddedToken.\n * @param {Object} config Added token configuration object.\n * @param {string} config.content The content of the added token.\n * @param {number} config.id The id of the added token.\n * @param {boolean} [config.single_word=false] Whether this token must be a single word or can break words.\n * @param {boolean} [config.lstrip=false] Whether this token should strip whitespaces on its left.\n * @param {boolean} [config.rstrip=false] Whether this token should strip whitespaces on its right.\n * @param {boolean} [config.normalized=false] Whether this token should be normalized.\n * @param {boolean} [config.special=false] Whether this token is special.\n */\n constructor(config) {\n this.content = config.content;\n this.id = config.id;\n this.single_word = config.single_word ?? false;\n this.lstrip = config.lstrip ?? false;\n this.rstrip = config.rstrip ?? false;\n this.special = config.special ?? false;\n this.normalized = config.normalized ?? null;\n }\n}\n\n/**\n * Abstract base class for tokenizer models.\n *\n * @extends Callable\n */\nexport class TokenizerModel extends Callable {\n /**\n * Creates a new instance of TokenizerModel.\n * @param {Object} config The configuration object for the TokenizerModel.\n */\n constructor(config) {\n super();\n this.config = config;\n\n /** @type {string[]} */\n this.vocab = [];\n\n /**\n * A mapping of tokens to ids.\n * @type {Map<string, number>}\n */\n this.tokens_to_ids = new Map();\n\n this.unk_token_id = undefined;\n this.unk_token = undefined;\n this.end_of_word_suffix = undefined;\n\n /** @type {boolean} Whether to fuse unknown tokens when encoding. Defaults to false. */\n this.fuse_unk = this.config.fuse_unk ?? false;\n }\n\n /**\n * Instantiates a new TokenizerModel instance based on the configuration object provided.\n * @param {Object} config The configuration object for the TokenizerModel.\n * @param {...*} args Optional arguments to pass to the specific TokenizerModel constructor.\n * @returns {TokenizerModel} A new instance of a TokenizerModel.\n * @throws Will throw an error if the TokenizerModel type in the config is not recognized.\n */\n static fromConfig(config, ...args) {\n switch (config.type) {\n case 'WordPiece':\n return new WordPieceTokenizer(config);\n case 'Unigram':\n // @ts-ignore\n return new Unigram(config, ...args);\n case 'BPE':\n return new BPE(config);\n\n default:\n // Some older tokenizers, like `google-t5/t5-small` and `distilbert/distilbert-base-uncased`, do not have a `type` field.\n // In this case, we can infer the tokenizer type based on the structure of the `vocab` field and other properties.\n if (config.vocab) {\n if (Array.isArray(config.vocab)) {\n // config.vocab is of type `[string, number][]`\n // @ts-ignore\n return new Unigram(config, ...args);\n } else if (typeof config.vocab === 'object' && config.continuing_subword_prefix && config.unk_token) {\n return new WordPieceTokenizer(config);\n } else {\n // @ts-ignore\n return new LegacyTokenizerModel(config, ...args);\n }\n }\n throw new Error(`Unknown TokenizerModel type: ${config.type}`);\n }\n }\n\n /**\n * Internal function to call the TokenizerModel instance.\n * @param {string[]} tokens The tokens to encode.\n * @returns {string[]} The encoded tokens.\n */\n _call(tokens) {\n tokens = this.encode(tokens);\n if (this.fuse_unk) {\n // Fuse unknown tokens\n tokens = fuse_unk(tokens, this.tokens_to_ids, this.unk_token_id);\n }\n return tokens;\n }\n\n /**\n * Encodes a list of tokens into a list of token IDs.\n * @param {string[]} tokens The tokens to encode.\n * @returns {string[]} The encoded tokens.\n * @throws Will throw an error if not implemented in a subclass.\n */\n encode(tokens) {\n throw Error(\"encode should be implemented in subclass.\")\n }\n\n /**\n * Converts a list of tokens into a list of token IDs.\n * @param {string[]} tokens The tokens to convert.\n * @returns {number[]} The converted token IDs.\n */\n convert_tokens_to_ids(tokens) {\n return tokens.map(t => this.tokens_to_ids.get(t) ?? this.unk_token_id);\n }\n\n /**\n * Converts a list of token IDs into a list of tokens.\n * @param {number[]|bigint[]} ids The token IDs to convert.\n * @returns {string[]} The converted tokens.\n */\n convert_ids_to_tokens(ids) {\n return ids.map(i => this.vocab[i] ?? this.unk_token);\n }\n}\n\n/**\n * A subclass of TokenizerModel that uses WordPiece encoding to encode tokens.\n * @extends TokenizerModel\n */\nclass WordPieceTokenizer extends TokenizerModel {\n /**\n * @param {Object} config The configuration object.\n * @param {Object} config.vocab A mapping of tokens to ids.\n * @param {string} config.unk_token The unknown token string.\n * @param {string} config.continuing_subword_prefix The prefix to use for continuing subwords.\n * @param {number} [config.max_input_chars_per_word=100] The maximum number of characters per word.\n */\n constructor(config) {\n super(config);\n /**\n * A mapping of tokens to ids.\n * @type {Map<string, number>}\n */\n this.tokens_to_ids = objectToMap(config.vocab);\n\n /**\n * The id of the unknown token.\n * @type {number}\n */\n this.unk_token_id = this.tokens_to_ids.get(config.unk_token);\n\n /**\n * The unknown token string.\n * @type {string}\n */\n this.unk_token = config.unk_token;\n\n /**\n * The maximum number of characters allowed per word.\n * @type {number}\n */\n this.max_input_chars_per_word = config.max_input_chars_per_word ?? 100;\n\n /**\n * An array of tokens.\n * @type {string[]}\n */\n this.vocab = new Array(this.tokens_to_ids.size);\n for (const [key, value] of this.tokens_to_ids) {\n this.vocab[value] = key;\n }\n }\n\n /**\n * Encodes an array of tokens using WordPiece encoding.\n * @param {string[]} tokens The tokens to encode.\n * @returns {string[]} An array of encoded tokens.\n */\n encode(tokens) {\n const outputTokens = [];\n for (const token of tokens) {\n const chars = [...token];\n if (chars.length > this.max_input_chars_per_word) {\n outputTokens.push(this.unk_token);\n continue;\n }\n\n let isUnknown = false;\n let start = 0;\n const subTokens = [];\n\n while (start < chars.length) {\n let end = chars.length;\n let currentSubstring = null;\n while (start < end) {\n let substr = chars.slice(start, end).join('');\n\n if (start > 0) {\n substr = this.config.continuing_subword_prefix + substr;\n }\n if (this.tokens_to_ids.has(substr)) {\n currentSubstring = substr;\n break;\n }\n\n --end;\n }\n if (currentSubstring === null) {\n isUnknown = true;\n break;\n }\n subTokens.push(currentSubstring);\n start = end;\n }\n if (isUnknown) {\n outputTokens.push(this.unk_token);\n } else {\n outputTokens.push(...subTokens);\n }\n }\n\n return outputTokens;\n }\n\n}\n\n/**\n * Class representing a Unigram tokenizer model.\n * @extends TokenizerModel\n */\nclass Unigram extends TokenizerModel {\n /**\n * Create a new Unigram tokenizer model.\n * @param {Object} config The configuration object for the Unigram model.\n * @param {number} config.unk_id The ID of the unknown token\n * @param {[string, number][]} config.vocab A 2D array representing a mapping of tokens to scores.\n * @param {Object} moreConfig Additional configuration object for the Unigram model.\n */\n constructor(config, moreConfig) {\n super(config);\n\n const vocabSize = config.vocab.length;\n this.vocab = new Array(vocabSize);\n /** @type {number[]} */\n this.scores = new Array(vocabSize);\n for (let i = 0; i < vocabSize; ++i) {\n [this.vocab[i], this.scores[i]] = config.vocab[i];\n }\n\n this.unk_token_id = config.unk_id;\n this.unk_token = this.vocab[config.unk_id];\n\n this.tokens_to_ids = new Map(this.vocab.map((x, i) => [x, i]));\n this.bos_token = ' '; // beginning of a sentence token\n\n this.bos_token_id = this.tokens_to_ids.get(this.bos_token); // NOTE: may be undefined\n this.eos_token = moreConfig.eos_token;\n\n this.eos_token_id = this.tokens_to_ids.get(this.eos_token);\n this.unk_token = this.vocab[this.unk_token_id];\n\n this.minScore = min(this.scores)[0];\n\n this.unk_score = this.minScore - 10.0;\n this.scores[this.unk_token_id] = this.unk_score;\n\n this.trie = new CharTrie();\n this.trie.extend(this.vocab);\n\n // NOTE: `fuse_unk` is hardcoded to true for Unigram models\n // See: https://github.com/huggingface/tokenizers/blob/b58227c7f1ccf8b73ee2268354336da56d91e492/tokenizers/src/models/unigram/model.rs#L119\n this.fuse_unk = true;\n }\n\n /**\n * Populates lattice nodes.\n * @param {TokenLattice} lattice The token lattice to populate with nodes.\n */\n populateNodes(lattice) {\n const chars = lattice.chars;\n const mblen = 1;\n let beginPos = 0;\n while (beginPos < chars.length) {\n let hasSingleNode = false;\n\n const tokens = [];\n const sliced = chars.slice(beginPos).join('');\n const prefixedTokens = this.trie.commonPrefixSearch(sliced);\n for (const token of prefixedTokens) {\n tokens.push(token);\n const tokenId = this.tokens_to_ids.get(token);\n const tokenScore = this.scores[tokenId];\n const n = len(token);\n lattice.insert(beginPos, n, tokenScore, tokenId);\n if (!hasSingleNode && n === mblen) {\n hasSingleNode = true;\n }\n }\n if (!hasSingleNode) {\n lattice.insert(beginPos, mblen, this.unk_score, this.unk_token_id);\n }\n beginPos += mblen;\n }\n }\n\n /**\n * Encodes an array of tokens into an array of subtokens using the unigram model.\n *\n * @param {string} normalized The normalized string.\n * @returns {string[]} An array of subtokens obtained by encoding the input tokens using the unigram model.\n */\n tokenize(normalized) {\n const lattice = new TokenLattice(normalized, this.bos_token_id, this.eos_token_id);\n this.populateNodes(lattice);\n return lattice.tokens();\n }\n\n /**\n * Encodes an array of tokens using Unigram encoding.\n * @param {string[]} tokens The tokens to encode.\n * @returns {string[]} An array of encoded tokens.\n */\n encode(tokens) {\n const toReturn = [];\n for (const token of tokens) {\n const tokenized = this.tokenize(token);\n toReturn.push(...tokenized);\n }\n return toReturn;\n }\n\n}\n\n/**\n * Returns list of utf-8 byte and a mapping to unicode strings.\n * Specifically avoids mapping to whitespace/control characters the BPE code barfs on.\n * @returns {Object} Object with utf-8 byte keys and unicode string values.\n */\nconst BYTES_TO_UNICODE = (() => {\n // Returns list of utf-8 byte and a mapping to unicode strings.\n // We specifically avoids mapping to whitespace/control characters\n // the bpe code barfs on.\n\n const bs = [\n ...Array.from({ length: \"~\".charCodeAt(0) - \"!\".charCodeAt(0) + 1 }, (_, i) => i + \"!\".charCodeAt(0)),\n ...Array.from({ length: \"¬\".charCodeAt(0) - \"¡\".charCodeAt(0) + 1 }, (_, i) => i + \"¡\".charCodeAt(0)),\n ...Array.from({ length: \"ÿ\".charCodeAt(0) - \"®\".charCodeAt(0) + 1 }, (_, i) => i + \"®\".charCodeAt(0)),\n ];\n const cs = bs.slice();\n let n = 0;\n for (let b = 0; b < 256; ++b) {\n if (!bs.includes(b)) {\n bs.push(b);\n cs.push(256 + n);\n n += 1;\n }\n }\n const ccs = cs.map(n => String.fromCharCode(n));\n return Object.fromEntries(bs.map((b, i) => [b, ccs[i]]));\n})();\n\nconst UNICODE_TO_BYTES = reverseDictionary(BYTES_TO_UNICODE);\n\n\n/**\n * @typedef {Object} BPENode\n * @property {string} token The token associated with the node\n * @property {number} bias A positional bias for the node.\n * @property {number} [score] The score of the node.\n * @property {BPENode} [prev] The previous node in the linked list.\n * @property {BPENode} [next] The next node in the linked list.\n */\n\n/**\n * BPE class for encoding text into Byte-Pair-Encoding (BPE) tokens.\n * @extends TokenizerModel\n */\nclass BPE extends TokenizerModel {\n /**\n * Create a BPE instance.\n * @param {Object} config The configuration object for BPE.\n * @param {Object} config.vocab A mapping of tokens to ids.\n * @param {string[]|[string, string][]} config.merges An array of BPE merges as strings.\n * @param {string} config.unk_token The unknown token used for out of vocabulary words.\n * @param {string} config.end_of_word_suffix The suffix to place at the end of each word.\n * @param {string} [config.continuing_subword_suffix] The suffix to insert between words.\n * @param {boolean} [config.byte_fallback=false] Whether to use spm byte-fallback trick (defaults to False)\n * @param {boolean} [config.ignore_merges=false] Whether or not to match tokens with the vocab before using merges.\n */\n constructor(config) {\n super(config);\n\n /** @type {Map<string, number>} */\n this.tokens_to_ids = objectToMap(config.vocab);\n\n this.unk_token_id = this.tokens_to_ids.get(config.unk_token);\n this.unk_token = config.unk_token;\n\n this.vocab = new Array(this.tokens_to_ids.size);\n for (const [key, value] of this.tokens_to_ids) {\n this.vocab[value] = key;\n }\n\n // Tokenizers >= 0.20.0 serializes BPE merges as a [string, string][] instead of a string[],\n // which resolves the ambiguity for merges containing spaces.\n const use_new_merge_format = Array.isArray(config.merges[0]);\n\n /** @type {[string, string][]} */\n this.merges = use_new_merge_format\n ? /** @type {[string, string][]} */(config.merges)\n : (/** @type {string[]} */(config.merges)).map(x => /** @type {[string, string]} */(x.split(' ', 2)));\n this.bpe_ranks = new Map(this.merges.map((x, i) => [JSON.stringify(x), i]));\n\n this.end_of_word_suffix = config.end_of_word_suffix;\n\n // NOTE: `continuing_subword_suffix` is custom (to support `BlenderbotSmallTokenizer`)\n this.continuing_subword_suffix = config.continuing_subword_suffix ?? null;\n\n this.byte_fallback = this.config.byte_fallback ?? false;\n\n if (this.byte_fallback) {\n this.text_encoder = new TextEncoder();\n }\n\n this.ignore_merges = this.config.ignore_merges ?? false;\n\n /** @type {Map<string, string[]>} */\n this.cache = new Map();\n }\n\n /**\n * Apply Byte-Pair-Encoding (BPE) to a given token. Efficient heap-based priority\n * queue implementation adapted from https://github.com/belladoreai/llama-tokenizer-js.\n * @param {string} token The token to encode.\n * @returns {string[]} The BPE encoded tokens.\n */\n bpe(token) {\n if (token.length === 0) {\n return [];\n }\n\n const cached = this.cache.get(token);\n if (cached !== undefined) {\n return cached;\n }\n\n const word = Array.from(token);\n if (this.end_of_word_suffix) {\n word[word.length - 1] += this.end_of_word_suffix;\n }\n\n let result = [];\n if (word.length > 1) {\n // Create a priority queue to store the nodes that will be merged.\n // The comparator function compares the scores of the nodes.\n const queue = new PriorityQueue((a, b) => a.score < b.score);\n\n // Construct a doubly-linked list of nodes that will be inserted into the priority queue,\n // starting with the individual characters. We also populate each node with a positional\n // bias to break ties in the priority queue.\n let startingNode = {\n token: word[0],\n bias: 0,\n prev: null,\n next: null,\n }\n\n let previousNode = startingNode\n for (let i = 1; i < word.length; ++i) {\n const currentNode = {\n bias: i / word.length, // Add fractional component to break ties\n token: word[i],\n prev: previousNode,\n next: null,\n }\n previousNode.next = currentNode\n this._add_node(queue, previousNode)\n previousNode = currentNode\n }\n\n while (!queue.isEmpty()) {\n // Get the next node with the highest priority\n const node = queue.pop();\n\n // Check that this merge is still possible\n if (node.deleted || !node.next || node.next.deleted) continue;\n\n // Here, we mark the current node (left side of the merge) and the next node (right side of the merge) as deleted.\n // This is because they will both be replaced by a new node representing the merge result.\n node.deleted = true;\n node.next.deleted = true;\n\n // Next, we fix the node that comes before the current node (i.e., left side of the merge).\n if (node.prev) {\n\n // Make a shallow copy of the previous node\n const newPreviousNode = { ...node.prev };\n\n // Mark the old previous node as deleted. This avoids erroneous merges later,\n // because there may still be references to this node in the priority queue.\n node.prev.deleted = true;\n node.prev = newPreviousNode;\n\n // Update the reference of the previous node, by pointing its previous node to this new previous node.\n if (newPreviousNode.prev) {\n newPreviousNode.prev.next = newPreviousNode;\n } else {\n // If the previous of the previous node does not exist, it means that\n // `newPreviousNode` must be the new `startingNode`.\n startingNode = newPreviousNode;\n }\n }\n\n // Create a new node which represents the result of the merge.\n const merged = {\n token: node.token + node.next.token,\n bias: node.bias,\n prev: node.prev,\n next: node.next.next,\n }\n\n // We now consider where we can add the new merged node to the priority queue:\n // 1. prev <-> merged\n if (merged.prev) {\n merged.prev.next = merged;\n this._add_node(queue, merged.prev);\n } else {\n // If `merged.prev` does not exist, then `merged` must be the new `startingNode`.\n startingNode = merged;\n }\n\n // 2. merged <-> next\n if (merged.next) {\n merged.next.prev = merged;\n this._add_node(queue, merged);\n }\n }\n\n // Traverse the linked list, starting from the `startingNode`, and collect the tokens.\n for (let currentNode = startingNode; currentNode !== null; currentNode = currentNode.next) {\n result.push(currentNode.token);\n }\n } else {\n result = word;\n }\n\n // Possibly append suffix\n if (this.continuing_subword_suffix) {\n // Do not append suffix to the last token\n for (let i = 0; i < result.length - 1; ++i) {\n result[i] += this.continuing_subword_suffix;\n }\n }\n\n // Save the result to the cache\n this.cache.set(token, result);\n\n return result;\n }\n\n\n /**\n * Helper function to add a node to the priority queue.\n * @param {PriorityQueue} queue \n * @param {BPENode} node\n * @private\n */\n _add_node(queue, node) {\n // `score` is a measure of the merge priority: lower means higher priority\n // We use the BPE rank as a measure of priority (i.e., the local of the merge in the merges list)\n // We also add a fractional component to the score to break ties (with the earlier character having higher priority)\n const rank = this.bpe_ranks.get(JSON.stringify([node.token, node.next.token]));\n if (rank !== undefined) {\n node.score = rank + node.bias;\n queue.push(node);\n }\n }\n\n /**\n * Encodes the input sequence of tokens using the BPE algorithm and returns the resulting subword tokens.\n * @param {string[]} tokens The input sequence of tokens to encode.\n * @returns {string[]} The resulting subword tokens after applying the BPE algorithm to the input sequence of tokens.\n */\n encode(tokens) {\n const outputTokens = [];\n\n for (const token of tokens) {\n if (this.ignore_merges && this.tokens_to_ids.has(token)) {\n outputTokens.push(token);\n continue;\n }\n const bpe_token_list = this.bpe(token);\n\n for (const t of bpe_token_list) {\n if (this.tokens_to_ids.has(t)) {\n outputTokens.push(t);\n } else if (this.byte_fallback) {\n const byteTokens = Array.from(this.text_encoder.encode(t))\n .map(x => `<0x${x.toString(16).toUpperCase().padStart(2, '0')}>`);\n if (byteTokens.every(x => this.tokens_to_ids.has(x))) {\n // Ensure the byte tokens are actually in the vocabulary, otherwise\n // we fall back to the unknown token. For more information, see\n // https://github.com/huggingface/transformers/issues/28096.\n outputTokens.push(...byteTokens);\n } else {\n outputTokens.push(this.unk_token);\n }\n } else {\n outputTokens.push(this.unk_token);\n }\n }\n }\n\n return outputTokens;\n }\n\n}\n\n/**\n * Legacy tokenizer class for tokenizers with only a vocabulary.\n */\nclass LegacyTokenizerModel extends TokenizerModel {\n /**\n * Create a LegacyTokenizerModel instance.\n * @param {Object} config The configuration object for LegacyTokenizerModel.\n * @param {Object} config.vocab A (possibly nested) mapping of tokens to ids.\n * @param {Object} moreConfig Additional configuration object for the LegacyTokenizerModel model.\n */\n constructor(config, moreConfig) {\n super(config);\n\n /**@type {Map<string, number>} */\n this.tokens_to_ids = objectToMap(\n moreConfig.target_lang\n ? config.vocab[moreConfig.target_lang]\n : config.vocab\n );\n\n this.bos_token = moreConfig.bos_token;\n this.bos_token_id = this.tokens_to_ids.get(this.bos_token);\n\n this.eos_token = moreConfig.eos_token;\n this.eos_token_id = this.tokens_to_ids.get(this.eos_token);\n\n this.pad_token = moreConfig.pad_token;\n this.pad_token_id = this.tokens_to_ids.get(this.pad_token);\n\n this.unk_token = moreConfig.unk_token;\n this.unk_token_id = this.tokens_to_ids.get(this.unk_token);\n\n this.vocab = new Array(this.tokens_to_ids.size);\n for (const [key, value] of this.tokens_to_ids) {\n this.vocab[value] = key;\n }\n }\n\n encode(tokens) {\n return tokens;\n }\n}\n\n\n/**\n * A base class for text normalization.\n * @abstract\n */\nclass Normalizer extends Callable {\n /**\n * @param {Object} config The configuration object for the normalizer.\n */\n constructor(config) {\n super();\n this.config = config;\n }\n\n /**\n * Factory method for creating normalizers from config objects.\n * @static\n * @param {Object} config The configuration object for the normalizer.\n * @returns {Normalizer} A Normalizer object.\n * @throws {Error} If an unknown Normalizer type is specified in the config.\n */\n static fromConfig(config) {\n if (config === null) return null;\n switch (config.type) {\n case 'BertNormalizer':\n return new BertNormalizer(config);\n case 'Precompiled':\n return new Precompiled(config);\n case 'Sequence':\n return new NormalizerSequence(config);\n case 'Replace':\n return new Replace(config);\n case 'NFC':\n return new NFC(config);\n case 'NFKC':\n return new NFKC(config);\n case 'NFKD':\n return new NFKD(config);\n case 'Strip':\n return new StripNormalizer(config);\n case 'StripAccents':\n return new StripAccents(config);\n case 'Lowercase':\n return new Lowercase(config);\n case 'Prepend':\n return new Prepend(config);\n default:\n throw new Error(`Unknown Normalizer type: ${config.type}`);\n }\n }\n\n /**\n * Normalize the input text.\n * @abstract\n * @param {string} text The text to normalize.\n * @returns {string} The normalized text.\n * @throws {Error} If this method is not implemented in a subclass.\n */\n normalize(text) {\n throw Error(\"normalize should be implemented in subclass.\")\n }\n\n /**\n * Alias for {@link Normalizer#normalize}.\n * @param {string} text The text to normalize.\n * @returns {string} The normalized text.\n */\n _call(text) {\n return this.normalize(text);\n }\n\n}\n\n/**\n * Replace normalizer that replaces occurrences of a pattern with a given string or regular expression.\n * @extends Normalizer\n */\nclass Replace extends Normalizer {\n /**\n * Normalize the input text by replacing the pattern with the content.\n * @param {string} text The input text to be normalized.\n * @returns {string} The normalized text after replacing the pattern with the content.\n */\n normalize(text) {\n const pattern = createPattern(this.config.pattern);\n return pattern === null\n ? text\n : text.replaceAll(pattern, this.config.content);\n }\n}\n\n/**\n * A normalizer that applies Unicode normalization form C (NFC) to the input text.\n * @extends Normalizer\n */\nclass NFC extends Normalizer {\n /**\n * Normalize the input text by applying Unicode normalization form C (NFC).\n * @param {string} text The input text to be normalized.\n * @returns {string} The normalized text.\n */\n normalize(text) {\n text = text.normalize('NFC')\n return text;\n }\n}\n\n/**\n * NFKC Normalizer.\n * @extends Normalizer\n */\nclass NFKC extends Normalizer {\n /**\n * Normalize text using NFKC normalization.\n * @param {string} text The text to be normalized.\n * @returns {string} The normalized text.\n */\n normalize(text) {\n text = text.normalize('NFKC')\n return text;\n }\n}\n/**\n * NFKD Normalizer.\n * @extends Normalizer\n */\nclass NFKD extends Normalizer {\n /**\n * Normalize text using NFKD normalization.\n * @param {string} text The text to be normalized.\n * @returns {string} The normalized text.\n */\n normalize(text) {\n text = text.normalize('NFKD')\n return text;\n }\n}\n\n/**\n * A normalizer that strips leading and/or trailing whitespace from the input text.\n */\nclass StripNormalizer extends Normalizer {\n /**\n * Strip leading and/or trailing whitespace from the input text.\n * @param {string} text The input text.\n * @returns {string} The normalized text.\n */\n normalize(text) {\n if (this.config.strip_left && this.config.strip_right) {\n // Fast path to avoid an extra trim call\n text = text.trim();\n } else {\n if (this.config.strip_left) {\n text = text.trimStart();\n }\n if (this.config.strip_right) {\n text = text.trimEnd();\n }\n }\n return text;\n }\n}\n\n/**\n * StripAccents normalizer removes all accents from the text.\n * @extends Normalizer\n */\nclass StripAccents extends Normalizer {\n /**\n * Remove all accents from the text.\n * @param {string} text The input text.\n * @returns {string} The normalized text without accents.\n */\n normalize(text) {\n text = remove_accents(text);\n return text;\n }\n}\n\n/**\n * A Normalizer that lowercases the input string.\n * @extends Normalizer\n */\nclass Lowercase extends Normalizer {\n /**\n * Lowercases the input string.\n * @param {string} text The text to normalize.\n * @returns {string} The normalized text.\n */\n normalize(text) {\n text = text.toLowerCase();\n return text;\n }\n}\n\n/**\n * A Normalizer that prepends a string to the input string.\n * @extends Normalizer\n */\nclass Prepend extends Normalizer {\n /**\n * Prepends the input string.\n * @param {string} text The text to normalize.\n * @returns {string} The normalized text.\n */\n normalize(text) {\n text = this.config.prepend + text;\n return text;\n }\n}\n\n/**\n * A Normalizer that applies a sequence of Normalizers.\n * @extends Normalizer\n */\nclass NormalizerSequence extends Normalizer {\n /**\n * Create a new instance of NormalizerSequence.\n * @param {Object} config The configuration object.\n * @param {Object[]} config.normalizers An array of Normalizer configuration objects.\n */\n constructor(config) {\n super(config);\n this.normalizers = config.normalizers.map(x => Normalizer.fromConfig(x));\n }\n /**\n * Apply a sequence of Normalizers to the input text.\n * @param {string} text The text to normalize.\n * @returns {string} The normalized text.\n */\n normalize(text) {\n return this.normalizers.reduce((t, normalizer) => {\n return normalizer.normalize(t);\n }, text);\n }\n}\n\n/**\n * A class representing a normalizer used in BERT tokenization.\n * @extends Normalizer\n */\nclass BertNormalizer extends Normalizer {\n /**\n * Adds whitespace around any CJK (Chinese, Japanese, or Korean) character in the input text.\n *\n * @param {string} text The input text to tokenize.\n * @returns {string} The tokenized text with whitespace added around CJK characters.\n */\n _tokenize_chinese_chars(text) {\n /* Adds whitespace around any CJK character. */\n const output = [];\n for (let i = 0; i < text.length; ++i) {\n const char = text[i];\n const cp = char.charCodeAt(0);\n if (is_chinese_char(cp)) {\n output.push(\" \");\n output.push(char);\n output.push(\" \");\n } else {\n output.push(char);\n }\n }\n return output.join(\"\");\n }\n\n /**\n * Strips accents from the given text.\n * @param {string} text The text to strip accents from.\n * @returns {string} The text with accents removed.\n */\n stripAccents(text) {\n // \"Mark, Nonspacing\" (Mn)\n return text.normalize('NFD').replace(/\\p{Mn}/gu, '');\n }\n\n\n /**\n * Checks whether `char` is a control character.\n * @param {string} char The character to check.\n * @returns {boolean} Whether `char` is a control character.\n * @private\n */\n _is_control(char) {\n switch (char) {\n case '\\t':\n case '\\n':\n case '\\r':\n // These are technically control characters but we count them as whitespace characters.\n return false;\n\n default:\n // Check if unicode category starts with C:\n // Cc - Control\n // Cf - Format\n // Co - Private Use\n // Cs - Surrogate\n return /^\\p{Cc}|\\p{Cf}|\\p{Co}|\\p{Cs}$/u.test(char);\n }\n }\n\n /**\n * Performs invalid character removal and whitespace cleanup on text.\n * @param {string} text The text to clean.\n * @returns {string} The cleaned text.\n * @private\n */\n _clean_text(text) {\n const output = [];\n for (const char of text) {\n const cp = char.charCodeAt(0);\n if (cp === 0 || cp === 0xFFFD || this._is_control(char)) {\n continue;\n }\n if (/^\\s$/.test(char)) { // is whitespace\n output.push(\" \");\n } else {\n output.push(char);\n }\n }\n return output.join(\"\");\n }\n /**\n * Normalizes the given text based on the configuration.\n * @param {string} text The text to normalize.\n * @returns {string} The normalized text.\n */\n normalize(text) {\n if (this.config.clean_text) {\n text = this._clean_text(text);\n }\n\n if (this.config.handle_chinese_chars) {\n text = this._tokenize_chinese_chars(text);\n }\n\n if (this.config.lowercase) {\n text = text.toLowerCase();\n\n if (this.config.strip_accents !== false) {\n text = this.stripAccents(text);\n }\n } else if (this.config.strip_accents) {\n text = this.stripAccents(text);\n }\n\n return text;\n }\n}\n\n/**\n * A callable class representing a pre-tokenizer used in tokenization. Subclasses\n * should implement the `pre_tokenize_text` method to define the specific pre-tokenization logic.\n * @extends Callable\n */\nclass PreTokenizer extends Callable {\n /**\n * Factory method that returns an instance of a subclass of `PreTokenizer` based on the provided configuration.\n *\n * @static\n * @param {Object} config A configuration object for the pre-tokenizer.\n * @returns {PreTokenizer} An instance of a subclass of `PreTokenizer`.\n * @throws {Error} If the provided configuration object does not correspond to any known pre-tokenizer.\n */\n static fromConfig(config) {\n if (config === null) return null;\n\n switch (config.type) {\n case 'BertPreTokenizer':\n return new BertPreTokenizer(config);\n case 'Sequence':\n return new PreTokenizerSequence(config);\n case 'Whitespace':\n return new WhitespacePreTokenizer(config);\n case 'WhitespaceSplit':\n return new WhitespaceSplit(config);\n case 'Metaspace':\n return new MetaspacePreTokenizer(config);\n\n case 'ByteLevel':\n return new ByteLevelPreTokenizer(config);\n case 'Split':\n return new SplitPreTokenizer(config);\n case 'Punctuation':\n return new PunctuationPreTokenizer(config);\n case 'Digits':\n return new DigitsPreTokenizer(config);\n case 'Replace':\n return new ReplacePreTokenizer(config);\n default:\n throw new Error(`Unknown PreTokenizer type: ${config.type}`);\n }\n }\n\n /**\n * Method that should be implemented by subclasses to define the specific pre-tokenization logic.\n *\n * @abstract\n * @param {string} text The text to pre-tokenize.\n * @param {Object} [options] Additional options for the pre-tokenization logic.\n * @returns {string[]} The pre-tokenized text.\n * @throws {Error} If the method is not implemented in the subclass.\n */\n pre_tokenize_text(text, options) {\n throw Error(\"pre_tokenize_text should be implemented in subclass.\")\n }\n\n /**\n * Tokenizes the given text into pre-tokens.\n * @param {string|string[]} text The text or array of texts to pre-tokenize.\n * @param {Object} [options] Additional options for the pre-tokenization logic.\n * @returns {string[]} An array of pre-tokens.\n */\n pre_tokenize(text, options) {\n return (Array.isArray(text)\n ? text.map(x => this.pre_tokenize_text(x, options))\n : this.pre_tokenize_text(text, options)\n ).flat();\n }\n\n /**\n * Alias for {@link PreTokenizer#pre_tokenize}.\n * @param {string|string[]} text The text or array of texts to pre-tokenize.\n * @param {Object} [options] Additional options for the pre-tokenization logic.\n * @returns {string[]} An array of pre-tokens.\n */\n _call(text, options) {\n return this.pre_tokenize(text, options);\n }\n}\n\n/**\n * @extends PreTokenizer\n */\nclass BertPreTokenizer extends PreTokenizer {\n /**\n * A PreTokenizer that splits text into wordpieces using a basic tokenization scheme\n * similar to that used in the original implementation of BERT.\n * \n * @param {Object} config The configuration object.\n */\n constructor(config) {\n super();\n // Construct a pattern which matches the rust implementation:\n // https://github.com/huggingface/tokenizers/blob/b4fcc9ce6e4ad5806e82826f816acfdfdc4fcc67/tokenizers/src/pre_tokenizers/bert.rs#L11\n // Equivalent to removing whitespace and splitting on punctuation (both \\p{P} and other ascii characters)\n this.pattern = new RegExp(`[^\\\\s${PUNCTUATION_REGEX}]+|[${PUNCTUATION_REGEX}]`, 'gu');\n }\n /**\n * Tokenizes a single text using the BERT pre-tokenization scheme.\n * \n * @param {string} text The text to tokenize.\n * @param {Object} [options] Additional options for the pre-tokenization logic.\n * @returns {string[]} An array of tokens.\n */\n pre_tokenize_text(text, options) {\n return text.trim().match(this.pattern) || [];\n }\n}\n\n/**\n * A pre-tokenizer that splits text into Byte-Pair-Encoding (BPE) subwords.\n * @extends PreTokenizer\n */\nclass ByteLevelPreTokenizer extends PreTokenizer {\n /**\n * Creates a new instance of the `ByteLevelPreTokenizer` class.\n * @param {Object} config The configuration object.\n */\n constructor(config) {\n super();\n this.config = config;\n\n /**\n * @type {boolean} Whether to add a leading space to the first word.\n * This allows to treat the leading word just as any other word.\n */\n this.add_prefix_space = this.config.add_prefix_space;\n\n /**\n * @type {boolean} Whether the post processing step should trim offsets\n * to avoid including whitespaces.\n * @todo Use this in the pretokenization step.\n */\n this.trim_offsets = this.config.trim_offsets;\n\n /**\n * @type {boolean} Whether to use the standard GPT2 regex for whitespace splitting.\n * Set it to False if you want to use your own splitting. Defaults to true.\n */\n this.use_regex = this.config.use_regex ?? true;\n this.pattern = /'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)|\\s+/gu;\n\n this.byte_encoder = BYTES_TO_UNICODE;\n this.text_encoder = new TextEncoder();\n }\n\n /**\n * Tokenizes a single piece of text using byte-level tokenization.\n * @param {string} text The text to tokenize.\n * @param {Object} [options] Additional options for the pre-tokenization logic.\n * @returns {string[]} An array of tokens.\n */\n pre_tokenize_text(text, options) {\n // Add a leading space if the option is enabled\n if (this.add_prefix_space && !text.startsWith(' ')) {\n text = ' ' + text;\n }\n\n // Split on whitespace and punctuation\n const tokens = this.use_regex ? (text.match(this.pattern) || []) : [text];\n\n // Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)\n return tokens.map(\n token => Array.from(this.text_encoder.encode(token), byte => this.byte_encoder[byte]).join('')\n );\n }\n}\n\n/**\n * @typedef {'removed'|'isolated'|'mergedWithPrevious'|'mergedWithNext'|'contiguous'} SplitDelimiterBehavior\n */\n\n/**\n * Splits text using a given pattern.\n * @extends PreTokenizer\n */\nclass SplitPreTokenizer extends PreTokenizer {\n /**\n * @param {Object} config The configuration options for the pre-tokenizer.\n * @param {Object} config.pattern The pattern used to split the text. Can be a string or a regex object.\n * @param {string|undefined} config.pattern.String The string to use for splitting. Only defined if the pattern is a string.\n * @param {string|undefined} config.pattern.Regex The regex to use for splitting. Only defined if the pattern is a regex.\n * @param {SplitDelimiterBehavior} config.behavior The behavior to use when splitting.\n * @param {boolean} config.invert Whether to split (invert=false) or match (invert=true) the pattern.\n */\n constructor(config) {\n super();\n this.config = config;\n // TODO support all behaviours (config.behavior)\n\n this.pattern = createPattern(this.config.pattern, this.config.invert);\n }\n\n /**\n * Tokenizes text by splitting it using the given pattern.\n * @param {string} text The text to tokenize.\n * @param {Object} [options] Additional options for the pre-tokenization logic.\n * @returns {string[]} An array of tokens.\n */\n pre_tokenize_text(text, options) {\n if (this.pattern === null) {\n return [];\n }\n\n if (this.config.invert) {\n return text.match(this.pattern) || [];\n } else if (this.config.behavior?.toLowerCase() === 'removed') {\n return text.split(this.pattern).filter(x => x);\n } else {\n return regexSplit(text, this.pattern);\n }\n }\n}\n\n/**\n * Splits text based on punctuation.\n * @extends PreTokenizer\n */\nclass PunctuationPreTokenizer extends PreTokenizer {\n /**\n * @param {Object} config The configuration options for the pre-tokenizer.\n * @param {SplitDelimiterBehavior} config.behavior The behavior to use when splitting.\n */\n constructor(config) {\n super();\n this.config = config;\n this.pattern = new RegExp(`[^${PUNCTUATION_REGEX}]+|[${PUNCTUATION_REGEX}]+`, 'gu');\n }\n\n /**\n * Tokenizes text by splitting it using the given pattern.\n * @param {string} text The text to tokenize.\n * @param {Object} [options] Additional options for the pre-tokenization logic.\n * @returns {string[]} An array of tokens.\n */\n pre_tokenize_text(text, options) {\n return text.match(this.pattern) || [];\n }\n}\n\n\n/**\n * Splits text based on digits.\n * @extends PreTokenizer\n */\nclass DigitsPreTokenizer extends PreTokenizer {\n /**\n * @param {Object} config The configuration options for the pre-tokenizer.\n * @param {boolean} config.individual_digits Whether to split on individual digits.\n */\n constructor(config) {\n super();\n this.config = config;\n\n // Construct a pattern which matches the rust implementation:\n const digit_pattern = `[^\\\\d]+|\\\\d${this.config.individual_digits ? '' : '+'}`;\n this.pattern = new RegExp(digit_pattern, 'gu');\n }\n\n /**\n * Tokenizes text by splitting it using the given pattern.\n * @param {string} text The text to tokenize.\n * @param {Object} [options] Additional options for the pre-tokenization logic.\n * @returns {string[]} An array of tokens.\n */\n pre_tokenize_text(text, options) {\n return text.match(this.pattern) || [];\n }\n}\n\n/**\n * @typedef {Object} PostProcessedOutput\n * @property {string[]} tokens List of token produced by the post-processor.\n * @property {number[]} [token_type_ids] List of token type ids produced by the post-processor.\n */\n\n\n/**\n * @typedef {Object} EncodingSingle\n * @property {number[]} input_ids List of token ids to be fed to a model.\n * @property {number[]} attention_mask List of token type ids to be fed to a model\n * @property {number[]} [token_type_ids] List of indices specifying which tokens should be attended to by the model\n */\n\n\n/**\n * @extends Callable\n */\nclass PostProcessor extends Callable {\n\n /**\n * @param {Object} config The configuration for the post-processor.\n */\n constructor(config) {\n super();\n this.config = config;\n }\n\n /**\n * Factory method to create a PostProcessor object from a configuration object.\n *\n * @param {Object} config Configuration object representing a PostProcessor.\n * @returns {PostProcessor} A PostProcessor object created from the given configuration.\n * @throws {Error} If an unknown PostProcessor type is encountered.\n */\n static fromConfig(config) {\n if (config === null) return null;\n switch (config.type) {\n case 'TemplateProcessing':\n return new TemplateProcessing(config);\n\n case 'ByteLevel':\n return new ByteLevelPostProcessor(config);\n\n case 'RobertaProcessing':\n return new RobertaProcessing(config);\n case 'BertProcessing':\n return new BertProcessing(config);\n\n case 'Sequence':\n return new PostProcessorSequence(config);\n default:\n throw new Error(`Unknown PostProcessor type: ${config.type}`);\n }\n }\n\n /**\n * Method to be implemented in subclass to apply post-processing on the given tokens.\n *\n * @param {Array} tokens The input tokens to be post-processed.\n * @param {...*} args Additional arguments required by the post-processing logic.\n * @returns {PostProcessedOutput} The post-processed tokens.\n * @throws {Error} If the method is not implemented in subclass.\n */\n post_process(tokens, ...args) {\n throw Error(\"post_process should be implemented in subclass.\")\n }\n\n /**\n * Alias for {@link PostProcessor#post_process}.\n * @param {Array} tokens The text or array of texts to post-process.\n * @param {...*} args Additional arguments required by the post-processing logic.\n * @returns {PostProcessedOutput} The post-processed tokens.\n */\n _call(tokens, ...args) {\n return this.post_process(tokens, ...args);\n }\n}\n\n/**\n * A post-processor that adds special tokens to the beginning and end of the input.\n */\nclass BertProcessing extends PostProcessor {\n /**\n * @param {Object} config The configuration for the post-processor.\n * @param {string[]} config.cls The special tokens to add to the beginning of the input.\n * @param {string[]} config.sep The special tokens to add to the end of the input.\n */\n constructor(config) {\n super(config);\n // TODO use all of config: add_prefix_space, trim_offsets\n\n this.cls = config.cls[0];\n this.sep = config.sep[0];\n }\n\n /**\n * Adds the special tokens to the beginning and end of the input.\n * @param {string[]} tokens The input tokens.\n * @param {string[]} [tokens_pair=null] An optional second set of input tokens.\n * @returns {PostProcessedOutput} The post-processed tokens with the special tokens added to the beginning and end.\n */\n post_process(tokens, tokens_pair = null, {\n add_special_tokens = true,\n } = {}) {\n if (add_special_tokens) {\n tokens = mergeArrays([this.cls], tokens, [this.sep]);\n }\n\n let token_type_ids = new Array(tokens.length).fill(0);\n if (tokens_pair !== null) {\n // NOTE: It is intended to add 2 EOS tokens after the first set of tokens\n // https://github.com/huggingface/tokenizers/issues/983\n const middle = (add_special_tokens && this instanceof RobertaProcessing)\n ? [this.sep]\n : [];\n const after = add_special_tokens ? [this.sep] : [];\n\n tokens = mergeArrays(tokens, middle, tokens_pair, after);\n token_type_ids = mergeArrays(token_type_ids, new Array(tokens_pair.length + middle.length + after.length).fill(1));\n }\n return { tokens, token_type_ids };\n }\n}\nclass RobertaProcessing extends BertProcessing { } // NOTE: extends BertProcessing\n\n/**\n * Post processor that replaces special tokens in a template with actual tokens.\n * @extends PostProcessor\n */\nclass TemplateProcessing extends PostProcessor {\n /**\n * Creates a new instance of `TemplateProcessing`.\n * @param {Object} config The configuration options for the post processor.\n * @param {Array} config.single The template for a single sequence of tokens.\n * @param {Array} config.pair The template for a pair of sequences of tokens.\n */\n constructor(config) {\n super(config);\n\n this.single = config.single;\n this.pair = config.pair;\n }\n\n /**\n * Replaces special tokens in the template with actual tokens.\n * @param {string[]} tokens The list of tokens for the first sequence.\n * @param {string[]} [tokens_pair=null] The list of tokens for the second sequence (optional).\n * @returns {PostProcessedOutput} An object containing the list of tokens with the special tokens replaced with actual tokens.\n */\n post_process(tokens, tokens_pair = null, {\n add_special_tokens = true,\n } = {}) {\n const type = tokens_pair === null ? this.single : this.pair\n\n let processedTokens = [];\n let types = [];\n for (const item of type) {\n if ('SpecialToken' in item) {\n if (add_special_tokens) {\n processedTokens.push(item.SpecialToken.id);\n types.push(item.SpecialToken.type_id);\n }\n } else if ('Sequence' in item) {\n if (item.Sequence.id === 'A') {\n processedTokens = mergeArrays(processedTokens, tokens);\n types = mergeArrays(types, new Array(tokens.length).fill(item.Sequence.type_id));\n\n } else if (item.Sequence.id === 'B') {\n processedTokens = mergeArrays(processedTokens, tokens_pair);\n types = mergeArrays(types, new Array(tokens_pair.length).fill(item.Sequence.type_id));\n }\n }\n }\n return { tokens: processedTokens, token_type_ids: types };\n }\n}\n\n/**\n * A PostProcessor that returns the given tokens as is.\n * @extends PostProcessor\n */\nclass ByteLevelPostProcessor extends PostProcessor {\n /**\n * Post process the given tokens.\n * @param {string[]} tokens The list of tokens for the first sequence.\n * @param {string[]} [tokens_pair=null] The list of tokens for the second sequence (optional).\n * @returns {PostProcessedOutput} An object containing the post-processed tokens.\n */\n post_process(tokens, tokens_pair = null) {\n if (tokens_pair) {\n tokens = mergeArrays(tokens, tokens_pair);\n }\n return { tokens };\n }\n}\n\n\n/**\n * A post-processor that applies multiple post-processors in sequence.\n */\nclass PostProcessorSequence extends PostProcessor {\n\n /**\n * Creates a new instance of PostProcessorSequence.\n * @param {Object} config The configuration object.\n * @param {Object[]} config.processors The list of post-processors to apply.\n */\n constructor(config) {\n super(config);\n\n this.processors = config.processors.map(x => PostProcessor.fromConfig(x));\n }\n\n /**\n * Post process the given tokens.\n * @param {string[]} tokens The list of tokens for the first sequence.\n * @param {string[]} [tokens_pair=null] The list of tokens for the second sequence (optional).\n * @returns {PostProcessedOutput} An object containing the post-processed tokens.\n */\n post_process(tokens, tokens_pair = null, options = {}) {\n let token_type_ids;\n for (const processor of this.processors) {\n if (processor instanceof ByteLevelPostProcessor) {\n // Special case where we need to pass the tokens_pair to the post-processor\n const output = processor.post_process(tokens);\n tokens = output.tokens;\n if (tokens_pair) {\n const pair_output = processor.post_process(tokens_pair);\n tokens_pair = pair_output.tokens;\n }\n } else {\n const output = processor.post_process(tokens, tokens_pair, options);\n tokens = output.tokens;\n token_type_ids = output.token_type_ids;\n }\n }\n return { tokens, token_type_ids };\n }\n}\n\n/**\n * The base class for token decoders.\n * @extends Callable\n */\nclass Decoder extends Callable {\n\n /**\n * Creates an instance of `Decoder`.\n *\n * @param {Object} config The configuration object.\n */\n constructor(config) {\n super();\n this.config = config;\n\n /** @type {AddedToken[]} */\n this.added_tokens = [];\n this.end_of_word_suffix = null;\n this.trim_offsets = config.trim_offsets;\n }\n\n /**\n * Creates a decoder instance based on the provided configuration.\n *\n * @param {Object} config The configuration object.\n * @returns {Decoder} A decoder instance.\n * @throws {Error} If an unknown decoder type is provided.\n */\n static fromConfig(config) {\n if (config === null) return null;\n switch (config.type) {\n case 'WordPiece':\n return new WordPieceDecoder(config);\n case 'Metaspace':\n return new MetaspaceDecoder(config);\n case 'ByteLevel':\n return new ByteLevelDecoder(config);\n\n case 'Replace':\n return new ReplaceDecoder(config);\n case 'ByteFallback':\n return new ByteFallback(config);\n case 'Fuse':\n return new FuseDecoder(config);\n case 'Strip':\n return new StripDecoder(config);\n\n case 'Sequence':\n return new DecoderSequence(config);\n\n case 'CTC':\n return new CTCDecoder(config);\n case 'BPEDecoder':\n return new BPEDecoder(config);\n default:\n throw new Error(`Unknown Decoder type: ${config.type}`);\n }\n }\n\n /**\n * Calls the `decode` method.\n *\n * @param {string[]} tokens The list of tokens.\n * @returns {string} The decoded string.\n */\n _call(tokens) {\n return this.decode(tokens);\n }\n\n /**\n * Decodes a list of tokens.\n * @param {string[]} tokens The list of tokens.\n * @returns {string} The decoded string.\n */\n decode(tokens) {\n return this.decode_chain(tokens).join('');\n }\n\n /**\n * Apply the decoder to a list of tokens.\n * \n * @param {string[]} tokens The list of tokens.\n * @returns {string[]} The decoded list of tokens.\n * @throws {Error} If the `decode_chain` method is not implemented in the subclass.\n */\n decode_chain(tokens) {\n throw Error(\"`decode_chain` should be implemented in subclass.\")\n }\n\n}\n\nclass ReplaceDecoder extends Decoder {\n\n /** @type {Decoder['decode_chain']} */\n decode_chain(tokens) {\n const pattern = createPattern(this.config.pattern);\n return pattern === null\n ? tokens\n : tokens.map(token => token.replaceAll(pattern, this.config.content))\n }\n}\n\n\nclass ByteFallback extends Decoder {\n constructor(config) {\n super(config);\n\n this.text_decoder = new TextDecoder();\n }\n\n /** @type {Decoder['decode_chain']} */\n decode_chain(tokens) {\n\n const new_tokens = [];\n let previous_byte_tokens = [];\n\n for (const token of tokens) {\n let bytes = null;\n if (token.length === 6 && token.startsWith('<0x') && token.endsWith('>')) {\n const byte = parseInt(token.slice(3, 5), 16);\n if (!isNaN(byte)) {\n bytes = byte;\n }\n }\n if (bytes !== null) {\n previous_byte_tokens.push(bytes);\n } else {\n if (previous_byte_tokens.length > 0) {\n const string = this.text_decoder.decode(Uint8Array.from(previous_byte_tokens));\n new_tokens.push(string);\n previous_byte_tokens = [];\n }\n new_tokens.push(token);\n }\n }\n if (previous_byte_tokens.length > 0) {\n const string = this.text_decoder.decode(Uint8Array.from(previous_byte_tokens));\n new_tokens.push(string);\n previous_byte_tokens = [];\n }\n\n return new_tokens;\n }\n}\n\n/**\n * Fuse simply fuses all tokens into one big string.\n * It's usually the last decoding step anyway, but this decoder\n * exists incase some decoders need to happen after that step\n */\nclass FuseDecoder extends Decoder {\n\n /** @type {Decoder['decode_chain']} */\n decode_chain(tokens) {\n return [tokens.join('')];\n }\n}\n\n\nclass StripDecoder extends Decoder {\n constructor(config) {\n super(config);\n\n this.content = this.config.content;\n this.start = this.config.start;\n this.stop = this.config.stop;\n }\n\n /** @type {Decoder['decode_chain']} */\n decode_chain(tokens) {\n return tokens.map(token => {\n let start_cut = 0;\n for (let i = 0; i < this.start; ++i) {\n if (token[i] === this.content) {\n start_cut = i + 1;\n continue;\n } else {\n break;\n }\n }\n\n let stop_cut = token.length;\n for (let i = 0; i < this.stop; ++i) {\n const index = token.length - i - 1;\n if (token[index] === this.content) {\n stop_cut = index;\n continue;\n } else {\n break;\n }\n }\n\n return token.slice(start_cut, stop_cut)\n });\n }\n}\n\n/**\n * A decoder that decodes a list of WordPiece tokens into a single string.\n * @extends Decoder\n */\nclass WordPieceDecoder extends Decoder {\n\n /**\n * Creates a new instance of WordPieceDecoder.\n * @param {Object} config The configuration object.\n * @param {string} config.prefix The prefix used for WordPiece encoding.\n * @param {boolean} config.cleanup Whether to cleanup the decoded string.\n */\n constructor(config) {\n super(config);\n this.cleanup = config.cleanup;\n }\n\n /** @type {Decoder['decode_chain']} */\n decode_chain(tokens) {\n return tokens.map((token, i) => {\n if (i !== 0) {\n if (token.startsWith(this.config.prefix)) {\n // NOTE: .replace() is intended; only replace first occurrence\n token = token.replace(this.config.prefix, '');\n } else {\n token = ' ' + token;\n }\n }\n if (this.cleanup) {\n token = clean_up_tokenization(token)\n }\n\n return token;\n });\n }\n}\n\n/**\n * Byte-level decoder for tokenization output. Inherits from the `Decoder` class.\n * @extends Decoder\n */\nclass ByteLevelDecoder extends Decoder {\n\n /**\n * Create a `ByteLevelDecoder` object.\n * @param {Object} config Configuration object.\n */\n constructor(config) {\n super(config);\n\n this.byte_decoder = UNICODE_TO_BYTES;\n this.text_decoder = new TextDecoder(\"utf-8\", {\n fatal: false,\n ignoreBOM: true,\n });\n\n this.end_of_word_suffix = null;\n }\n\n /**\n * Convert an array of tokens to string by decoding each byte.\n * @param {string[]} tokens Array of tokens to be decoded.\n * @returns {string} The decoded string.\n */\n convert_tokens_to_string(tokens) {\n const text = tokens.join('');\n const byteArray = new Uint8Array([...text].map(c => this.byte_decoder[c]));\n const decoded_text = this.text_decoder.decode(byteArray);\n return decoded_text;\n }\n\n /** @type {Decoder['decode_chain']} */\n decode_chain(tokens) {\n // TODO move to base class (like HF)\n // tokens === filtered_tokens\n\n // To avoid mixing byte-level and unicode for byte-level BPT\n // we need to build string separately for added tokens and byte-level tokens\n // cf. https://github.com/huggingface/transformers/issues/1133\n const sub_texts = [];\n let current_sub_text = [];\n for (const token of tokens) {\n // tokens sent here are already filtered, so we don't need to do this\n // if (skip_special_tokens && this.all_special_ids.includes(token)) {\n // continue;\n // }\n\n if (this.added_tokens.find(x => x.content === token) !== undefined) {\n if (current_sub_text.length > 0) {\n sub_texts.push(this.convert_tokens_to_string(current_sub_text));\n current_sub_text = [];\n }\n sub_texts.push(token);\n } else {\n current_sub_text.push(token);\n }\n }\n if (current_sub_text.length > 0) {\n sub_texts.push(this.convert_tokens_to_string(current_sub_text));\n }\n\n // TODO add spaces_between_special_tokens and clean_up_tokenization_spaces options\n\n return sub_texts;\n }\n}\n\n/**\n * The CTC (Connectionist Temporal Classification) decoder.\n * See https://github.com/huggingface/tokenizers/blob/bb38f390a61883fc2f29d659af696f428d1cda6b/tokenizers/src/decoders/ctc.rs\n */\nclass CTCDecoder extends Decoder {\n\n constructor(config) {\n super(config);\n\n this.pad_token = this.config.pad_token;\n this.word_delimiter_token = this.config.word_delimiter_token;\n this.cleanup = this.config.cleanup;\n }\n /**\n * Converts a connectionist-temporal-classification (CTC) output tokens into a single string.\n * @param {string[]} tokens Array of tokens to be decoded.\n * @returns {string} The decoded string.\n */\n convert_tokens_to_string(tokens) {\n if (tokens.length === 0) return '';\n\n // group same tokens into non-repeating tokens in CTC style decoding\n const grouped_tokens = [tokens[0]];\n for (let i = 1; i < tokens.length; ++i) {\n if (tokens[i] !== grouped_tokens.at(-1)) {\n grouped_tokens.push(tokens[i]);\n }\n }\n\n // filter self.pad_token which is used as CTC-blank token\n const filtered_tokens = grouped_tokens.filter(token => token !== this.pad_token);\n\n let text = filtered_tokens.join('');\n if (this.cleanup) {\n // cleanup and replace delimiter token\n text = clean_up_tokenization(text)\n .replaceAll(this.word_delimiter_token, ' ')\n .trim();\n }\n return text;\n }\n\n\n /** @type {Decoder['decode_chain']} */\n decode_chain(tokens) {\n return [this.convert_tokens_to_string(tokens)];\n }\n}\n\n/**\n * Apply a sequence of decoders.\n * @extends Decoder\n */\nclass DecoderSequence extends Decoder {\n\n /**\n * Creates a new instance of DecoderSequence.\n * @param {Object} config The configuration object.\n * @param {Object[]} config.decoders The list of decoders to apply.\n */\n constructor(config) {\n super(config);\n this.decoders = config.decoders.map(x => Decoder.fromConfig(x));\n }\n\n /** @type {Decoder['decode_chain']} */\n decode_chain(tokens) {\n // Use reduce to apply each decoder to the tokens\n return this.decoders.reduce((toks, decoder) => {\n return decoder.decode_chain(toks);\n }, tokens);\n }\n\n}\n\nclass BPEDecoder extends Decoder {\n constructor(config) {\n super(config);\n\n this.suffix = this.config.suffix;\n }\n /** @type {Decoder['decode_chain']} */\n decode_chain(tokens) {\n return tokens.map((token, i) => {\n return token.replaceAll(this.suffix, (i === tokens.length - 1) ? '' : ' ')\n });\n }\n}\n\n// Custom decoder for VITS\nclass VitsDecoder extends Decoder {\n /** @type {Decoder['decode_chain']} */\n decode_chain(tokens) {\n let decoded = '';\n for (let i = 1; i < tokens.length; i += 2) {\n decoded += tokens[i];\n }\n return [decoded];\n }\n}\n\n\n/**\n * This PreTokenizer replaces spaces with the given replacement character, adds a prefix space if requested,\n * and returns a list of tokens.\n * @extends PreTokenizer\n */\nclass MetaspacePreTokenizer extends PreTokenizer {\n /**\n * @param {Object} config The configuration object for the MetaspacePreTokenizer.\n * @param {boolean} config.add_prefix_space Whether to add a prefix space to the first token.\n * @param {string} config.replacement The character to replace spaces with.\n * @param {string} [config.str_rep=config.replacement] An optional string representation of the replacement character.\n * @param {'first'|'never'|'always'} [config.prepend_scheme='always'] The metaspace prepending scheme.\n */\n constructor(config) {\n super();\n\n this.addPrefixSpace = config.add_prefix_space;\n this.replacement = config.replacement;\n this.strRep = config.str_rep || this.replacement;\n this.prepend_scheme = config.prepend_scheme ?? 'always';\n }\n\n /**\n * This method takes a string, replaces spaces with the replacement character,\n * adds a prefix space if requested, and returns a new list of tokens.\n * @param {string} text The text to pre-tokenize.\n * @param {Object} [options] The options for the pre-tokenization.\n * @param {number} [options.section_index] The index of the section to pre-tokenize.\n * @returns {string[]} A new list of pre-tokenized tokens.\n */\n pre_tokenize_text(text, {\n section_index = undefined,\n } = {}) {\n\n let normalized = text.replaceAll(' ', this.strRep);\n\n if (\n // We add a prefix space if:\n // (1) The addPrefixSpace option is enabled and the normalized\n // token does not already start with the replacement character.\n (this.addPrefixSpace && !normalized.startsWith(this.replacement))\n\n // and (2) either:\n // (a) prepend_scheme is 'always'\n // (b) prepend_scheme is 'first' and this is the first section\n && (\n this.prepend_scheme === 'always' ||\n (this.prepend_scheme === 'first' && section_index === 0)\n )\n ) {\n normalized = this.strRep + normalized;\n }\n return [normalized];\n }\n}\n\n/**\n * MetaspaceDecoder class extends the Decoder class and decodes Metaspace tokenization.\n * @extends Decoder\n */\nclass MetaspaceDecoder extends Decoder {\n /**\n * Constructs a new MetaspaceDecoder object.\n * @param {Object} config The configuration object for the MetaspaceDecoder.\n * @param {boolean} config.add_prefix_space Whether to add a prefix space to the decoded string.\n * @param {string} config.replacement The string to replace spaces with.\n */\n constructor(config) {\n super(config);\n\n this.addPrefixSpace = config.add_prefix_space;\n this.replacement = config.replacement;\n }\n\n /** @type {Decoder['decode_chain']} */\n decode_chain(tokens) {\n const result = [];\n for (let i = 0; i < tokens.length; ++i) {\n let normalized = tokens[i].replaceAll(this.replacement, ' ');\n if (this.addPrefixSpace && i == 0 && normalized.startsWith(' ')) {\n normalized = normalized.substring(1);\n }\n result.push(normalized);\n }\n return result;\n }\n}\n\n/**\n * A normalizer that applies a precompiled charsmap.\n * This is useful for applying complex normalizations in C++ and exposing them to JavaScript.\n * @extends Normalizer\n * @param {Object} config The configuration object for the Precompiled normalizer.\n * @param {Object} config.precompiled_charsmap The precompiled charsmap object.\n */\nclass Precompiled extends Normalizer {\n /**\n * Create a new instance of Precompiled normalizer.\n * @param {Object} config The configuration object.\n * @param {any} config.precompiled_charsmap Precompiled chars mapping.\n */\n constructor(config) {\n super(config);\n this.charsmap = config.precompiled_charsmap;\n }\n\n /**\n * Normalizes the given text by applying the precompiled charsmap.\n * @param {string} text The text to normalize.\n * @returns {string} The normalized text.\n */\n normalize(text) {\n // As stated in the sentencepiece normalization docs (https://github.com/google/sentencepiece/blob/master/doc/normalization.md#use-pre-defined-normalization-rule),\n // there are 5 pre-defined normalization rules:\n // 1. nmt_nfkc: NFKC normalization with some additional normalization around spaces. (default)\n // 2. nfkc: original NFKC normalization.\n // 3. nmt_nfkc_cf: nmt_nfkc + Unicode case folding (mostly lower casing)\n // 4. nfkc_cf: nfkc + Unicode case folding.\n // 5. identity: no normalization\n // \n // For now, we only implement the default (nmt_nfkc).\n // See https://raw.githubusercontent.com/google/sentencepiece/master/data/nmt_nfkc.tsv for the full list of rules.\n // TODO: detect when a different `this.charsmap` is used.\n\n text = text.replace(/[\\u0001-\\u0008\\u000B\\u000E-\\u001F\\u007F\\u008F\\u009F]/gm, ''); // Remove control characters\n text = text.replace(/[\\u0009\\u000A\\u000C\\u000D\\u00A0\\u1680\\u2000-\\u200F\\u2028\\u2029\\u202F\\u205F\\u2581\\u3000\\uFEFF\\uFFFD]/gm, '\\u0020'); // Replace certain characters with a space\n\n if (text.includes('\\uFF5E')) {\n // To match the sentencepiece implementation 100%, we must handle a very strange edge-case.\n // For some reason, the \"Fullwidth Tilde\" character (\\uFF5E) should not be converted to the standard Tilde character (\\u007E).\n // However, NFKC normalization does do this conversion. As a result, we split the string on the Fullwidth Tilde character,\n // perform NFKC normalization on each substring, and then join them back together with the Fullwidth Tilde character.\n const parts = text.split('\\uFF5E');\n text = parts.map(part => part.normalize('NFKC')).join('\\uFF5E');\n } else {\n text = text.normalize('NFKC');\n }\n\n return text;\n }\n}\n\n/**\n * A pre-tokenizer that applies a sequence of pre-tokenizers to the input text.\n * @extends PreTokenizer\n */\nclass PreTokenizerSequence extends PreTokenizer {\n /**\n * Creates an instance of PreTokenizerSequence.\n * @param {Object} config The configuration object for the pre-tokenizer sequence.\n * @param {Object[]} config.pretokenizers An array of pre-tokenizer configurations.\n */\n constructor(config) {\n super();\n this.tokenizers = config.pretokenizers.map(x => PreTokenizer.fromConfig(x));\n }\n\n /**\n * Applies each pre-tokenizer in the sequence to the input text in turn.\n * @param {string} text The text to pre-tokenize.\n * @param {Object} [options] Additional options for the pre-tokenization logic.\n * @returns {string[]} The pre-tokenized text.\n */\n pre_tokenize_text(text, options) {\n // Use reduce to apply each tokenizer to the text\n return this.tokenizers.reduce((preTokenizedText, tokenizer) => {\n return tokenizer.pre_tokenize(preTokenizedText, options);\n }, [text]);\n }\n}\n\n/**\n * Splits on word boundaries (using the following regular expression: `\\w+|[^\\w\\s]+`).\n */\nclass WhitespacePreTokenizer extends PreTokenizer {\n /**\n * Creates an instance of WhitespacePreTokenizer.\n * @param {Object} config The configuration object for the pre-tokenizer.\n */\n constructor(config) {\n super();\n }\n /**\n * Pre-tokenizes the input text by splitting it on word boundaries.\n * @param {string} text The text to be pre-tokenized.\n * @param {Object} [options] Additional options for the pre-tokenization logic.\n * @returns {string[]} An array of tokens produced by splitting the input text on whitespace.\n */\n pre_tokenize_text(text, options) {\n return text.match(/\\w+|[^\\w\\s]+/g) || [];\n }\n}\n\n/**\n * Splits a string of text by whitespace characters into individual tokens.\n * @extends PreTokenizer\n */\nclass WhitespaceSplit extends PreTokenizer {\n /**\n * Creates an instance of WhitespaceSplit.\n * @param {Object} config The configuration object for the pre-tokenizer.\n */\n constructor(config) {\n super();\n }\n /**\n * Pre-tokenizes the input text by splitting it on whitespace characters.\n * @param {string} text The text to be pre-tokenized.\n * @param {Object} [options] Additional options for the pre-tokenization logic.\n * @returns {string[]} An array of tokens produced by splitting the input text on whitespace.\n */\n pre_tokenize_text(text, options) {\n return whitespace_split(text);\n }\n}\n\n// NOTE: `ReplacePreTokenizer` is custom (to support `BlenderbotSmallTokenizer`)\nclass ReplacePreTokenizer extends PreTokenizer {\n /**\n * @param {Object} config The configuration options for the pre-tokenizer.\n * @param {Object} config.pattern The pattern used to split the text. Can be a string or a regex object.\n * @param {string} config.content What to replace the pattern with.\n */\n constructor(config) {\n super();\n this.config = config;\n this.pattern = createPattern(this.config.pattern);\n this.content = this.config.content;\n }\n\n /**\n * Pre-tokenizes the input text by replacing certain characters.\n * @param {string} text The text to be pre-tokenized.\n * @param {Object} [options] Additional options for the pre-tokenization logic.\n * @returns {string[]} An array of tokens produced by replacing certain characters.\n */\n pre_tokenize_text(text, options) {\n if (this.pattern === null) {\n return [text];\n }\n return [text.replaceAll(this.pattern, this.config.content)];\n }\n}\n\nconst SPECIAL_TOKEN_ATTRIBUTES = [\n 'bos_token',\n 'eos_token',\n 'unk_token',\n 'sep_token',\n 'pad_token',\n 'cls_token',\n 'mask_token',\n // additional_special_tokens (TODO)\n]\n\n/**\n * \n * Helper function for padding values of an object, which are each arrays.\n * NOTE: No additional checks are made here for validity of arguments.\n * @param {Record<string, any[]>} item The input object.\n * @param {number} length The length to pad to.\n * @param {(key: string) => any} value_fn Determine the value to fill the array, based on its key.\n * @param {string} side Which side to pad the array.\n * @private\n */\nfunction padHelper(item, length, value_fn, side) {\n for (const key of Object.keys(item)) {\n const diff = length - item[key].length;\n const value = value_fn(key);\n\n const padData = new Array(diff).fill(value);\n item[key] = side === 'right'\n ? mergeArrays(item[key], padData)\n : mergeArrays(padData, item[key]);\n }\n}\n\n/**\n * Helper function for truncating values of an object, which are each arrays.\n * NOTE: No additional checks are made here for validity of arguments.\n * @param {Record<string, any[]>} item The input object.\n * @param {number} length The length to truncate to.\n * @private\n */\nfunction truncateHelper(item, length) {\n // Setting .length to a lower value truncates the array in-place:\n // https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/length\n for (const key of Object.keys(item)) {\n item[key].length = length;\n }\n}\n\n\n/**\n * @typedef {Object} Message\n * @property {string} role The role of the message (e.g., \"user\" or \"assistant\" or \"system\").\n * @property {string} content The content of the message.\n */\n\nexport class PreTrainedTokenizer extends Callable {\n return_token_type_ids = false;\n\n padding_side = 'right';\n /**\n * Create a new PreTrainedTokenizer instance.\n * @param {Object} tokenizerJSON The JSON of the tokenizer.\n * @param {Object} tokenizerConfig The config of the tokenizer.\n */\n constructor(tokenizerJSON, tokenizerConfig) {\n super();\n\n this._tokenizer_config = tokenizerConfig;\n\n // Construct parts of the tokenizer from the JSON\n this.normalizer = Normalizer.fromConfig(tokenizerJSON.normalizer);\n this.pre_tokenizer = PreTokenizer.fromConfig(tokenizerJSON.pre_tokenizer);\n this.model = TokenizerModel.fromConfig(tokenizerJSON.model, tokenizerConfig);\n this.post_processor = PostProcessor.fromConfig(tokenizerJSON.post_processor);\n this.decoder = Decoder.fromConfig(tokenizerJSON.decoder);\n\n // Add added_tokens to model\n this.special_tokens = [];\n this.all_special_ids = [];\n\n /** @type {AddedToken[]} */\n this.added_tokens = [];\n for (const addedToken of tokenizerJSON.added_tokens) {\n const token = new AddedToken(addedToken);\n this.added_tokens.push(token);\n\n this.model.tokens_to_ids.set(token.content, token.id);\n this.model.vocab[token.id] = token.content;\n\n if (token.special) {\n this.special_tokens.push(token.content);\n this.all_special_ids.push(token.id);\n }\n }\n\n // Update additional_special_tokens\n this.additional_special_tokens = tokenizerConfig.additional_special_tokens ?? [];\n this.special_tokens.push(...this.additional_special_tokens);\n this.special_tokens = [...new Set(this.special_tokens)]; // Remove duplicates\n\n if (this.decoder) {\n // Slight hack, but it prevents code duplication:\n this.decoder.added_tokens = this.added_tokens;\n\n // Another slight hack to add `end_of_word_suffix` (if present) to the decoder\n // This is needed for cases where BPE model and ByteLevel decoder are used\n // For more information, see https://github.com/huggingface/transformers.js/issues/74\n // TODO: save this to the decoder when exporting?\n this.decoder.end_of_word_suffix = this.model.end_of_word_suffix;\n }\n\n this.added_tokens_regex = this.added_tokens.length > 0 ? new RegExp(\n this.added_tokens.slice()\n // Sort by length (desc) to avoid early partial matches\n .sort((a, b) => b.content.length - a.content.length)\n .map(x => `${x.lstrip ? '\\\\s*' : ''}(${escapeRegExp(x.content)})${x.rstrip ? '\\\\s*' : ''}`)\n .join('|')\n ) : null;\n\n // Set mask token if present (otherwise will be undefined, which is fine)\n this.mask_token = this.getToken('mask_token');\n this.mask_token_id = this.model.tokens_to_ids.get(this.mask_token);\n\n this.pad_token = this.getToken('pad_token', 'eos_token');\n this.pad_token_id = this.model.tokens_to_ids.get(this.pad_token);\n\n this.sep_token = this.getToken('sep_token');\n this.sep_token_id = this.model.tokens_to_ids.get(this.sep_token);\n\n this.unk_token = this.getToken('unk_token');\n this.unk_token_id = this.model.tokens_to_ids.get(this.unk_token);\n\n this.bos_token = this.getToken('bos_token');\n this.bos_token_id = this.model.tokens_to_ids.get(this.bos_token);\n\n this.eos_token = this.getToken('eos_token');\n this.eos_token_id = this.model.tokens_to_ids.get(this.eos_token);\n\n this.model_max_length = tokenizerConfig.model_max_length;\n\n /** @type {boolean} Whether or not to strip the text when tokenizing (removing excess spaces before and after the string). */\n this.remove_space = tokenizerConfig.remove_space;\n\n this.clean_up_tokenization_spaces = tokenizerConfig.clean_up_tokenization_spaces ?? true;\n this.do_lowercase_and_remove_accent = tokenizerConfig.do_lowercase_and_remove_accent ?? false;\n\n if (tokenizerConfig.padding_side) {\n this.padding_side = tokenizerConfig.padding_side;\n }\n\n this.legacy = false;\n\n this.chat_template = tokenizerConfig.chat_template ?? null;\n if (Array.isArray(this.chat_template)) {\n // Chat templates are stored as lists of dicts with fixed key names,\n // we reconstruct that into a single dict while loading them.\n const chat_template = Object.create(null);\n for (const { name, template } of this.chat_template) {\n if (typeof name !== 'string' || typeof template !== 'string') {\n throw new Error('Chat template must be a list of objects with \"name\" and \"template\" properties');\n }\n chat_template[name] = template;\n }\n this.chat_template = chat_template;\n }\n this._compiled_template_cache = new Map();\n }\n\n /**\n * Returns the value of the first matching key in the tokenizer config object.\n * @param {...string} keys One or more keys to search for in the tokenizer config object.\n * @returns {string|null} The value associated with the first matching key, or null if no match is found.\n * @throws {Error} If an object is found for a matching key and its __type property is not \"AddedToken\".\n * @private\n */\n getToken(...keys) {\n for (const key of keys) {\n const item = this._tokenizer_config[key];\n\n if (!item) continue;\n\n if (typeof item === 'object') {\n if (item.__type === 'AddedToken') {\n return item.content;\n } else {\n throw Error(`Unknown token: ${item}`);\n }\n } else {\n return item;\n }\n }\n return null;\n }\n\n /**\n * Loads a pre-trained tokenizer from the given `pretrained_model_name_or_path`. \n * \n * @param {string} pretrained_model_name_or_path The path to the pre-trained tokenizer.\n * @param {PretrainedTokenizerOptions} options Additional options for loading the tokenizer.\n * \n * @throws {Error} Throws an error if the tokenizer.json or tokenizer_config.json files are not found in the `pretrained_model_name_or_path`.\n * @returns {Promise<PreTrainedTokenizer>} A new instance of the `PreTrainedTokenizer` class.\n */\n static async from_pretrained(pretrained_model_name_or_path, {\n progress_callback = null,\n config = null,\n cache_dir = null,\n local_files_only = false,\n revision = 'main',\n legacy = null,\n } = {}) {\n\n const info = await loadTokenizer(pretrained_model_name_or_path, {\n progress_callback,\n config,\n cache_dir,\n local_files_only,\n revision,\n legacy,\n })\n\n // @ts-ignore\n return new this(...info);\n }\n\n /**\n * @typedef {number[]|number[][]|Tensor} BatchEncodingItem\n * \n * @typedef {Object} BatchEncoding Holds the output of the tokenizer's call function.\n * @property {BatchEncodingItem} input_ids List of token ids to be fed to a model.\n * @property {BatchEncodingItem} attention_mask List of indices specifying which tokens should be attended to by the model.\n * @property {BatchEncodingItem} [token_type_ids] List of token type ids to be fed to a model.\n */\n\n /**\n * Encode/tokenize the given text(s).\n * @param {string|string[]} text The text to tokenize.\n * @param {Object} options An optional object containing the following properties:\n * @param {string|string[]} [options.text_pair=null] Optional second sequence to be encoded. If set, must be the same type as text.\n * @param {boolean|'max_length'} [options.padding=false] Whether to pad the input sequences.\n * @param {boolean} [options.add_special_tokens=true] Whether or not to add the special tokens associated with the corresponding model.\n * @param {boolean} [options.truncation=null] Whether to truncate the input sequences.\n * @param {number} [options.max_length=null] Maximum length of the returned list and optionally padding length.\n * @param {boolean} [options.return_tensor=true] Whether to return the results as Tensors or arrays.\n * @param {boolean} [options.return_token_type_ids=null] Whether to return the token type ids.\n * @returns {BatchEncoding} Object to be passed to the model.\n */\n _call(\n // Required positional arguments\n text,\n\n // Optional keyword arguments\n {\n text_pair = null,\n add_special_tokens = true,\n padding = false,\n truncation = null,\n max_length = null,\n return_tensor = true, // Different to HF\n return_token_type_ids = null,\n } = {},\n ) {\n\n const isBatched = Array.isArray(text);\n\n /** @type {EncodingSingle[]} */\n let encodedTokens;\n\n if (isBatched) {\n if (text.length === 0) {\n throw Error('text array must be non-empty')\n }\n\n if (text_pair !== null) {\n if (!Array.isArray(text_pair)) {\n throw Error('text_pair must also be an array')\n\n } else if (text.length !== text_pair.length) {\n throw Error('text and text_pair must have the same length')\n }\n\n encodedTokens = text.map(\n (t, i) => this._encode_plus(t, { text_pair: text_pair[i], add_special_tokens, return_token_type_ids })\n )\n\n } else {\n encodedTokens = text.map(x => this._encode_plus(x, { add_special_tokens, return_token_type_ids }));\n }\n\n } else {\n if (text === null || text === undefined) {\n throw Error('text may not be null or undefined')\n }\n\n if (Array.isArray(text_pair)) {\n throw Error('When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).')\n }\n\n // For single input, we just wrap in an array, and then unwrap later.\n encodedTokens = [this._encode_plus(text, { text_pair, add_special_tokens, return_token_type_ids })];\n }\n // At this point, tokens is batched: [batch_size, tokens]\n // However, array may be jagged. So, we pad to max_length\n\n if (max_length === null) {\n if (padding === 'max_length') {\n max_length = this.model_max_length;\n } else {\n // Calculate max length from sequences\n max_length = max(encodedTokens.map(x => x.input_ids.length))[0];\n }\n } else {\n if (!truncation) {\n console.warn(`Truncation was not explicitly activated but \\`max_length\\` is provided a specific value, please use \\`truncation=true\\` to explicitly truncate examples to max length.`)\n }\n }\n\n // Ensure it is less than model max length\n max_length = Math.min(max_length, this.model_max_length ?? Infinity);\n\n if (padding || truncation) {\n\n // Perform padding and/or truncation\n for (let i = 0; i < encodedTokens.length; ++i) {\n if (encodedTokens[i].input_ids.length === max_length) {\n continue;\n\n } else if (encodedTokens[i].input_ids.length > max_length) {\n // possibly truncate\n if (truncation) {\n truncateHelper(encodedTokens[i], max_length);\n }\n\n } else { // t.length < max_length\n // possibly pad\n if (padding) {\n padHelper(\n encodedTokens[i],\n max_length,\n key => key === 'input_ids' ? this.pad_token_id : 0,\n this.padding_side\n );\n }\n }\n }\n }\n\n const result = {};\n\n if (return_tensor) {\n if (!(padding && truncation)) {\n // Not, guaranteed that all items have same length, so\n // we perform additional check\n\n if (\n encodedTokens.some(x => {\n for (const key of Object.keys(x)) {\n if (x[key].length !== encodedTokens[0][key]?.length) {\n return true;\n }\n }\n return false;\n })\n ) {\n throw Error(\n \"Unable to create tensor, you should probably activate truncation and/or padding \" +\n \"with 'padding=true' and 'truncation=true' to have batched tensors with the same length.\"\n )\n }\n }\n\n // Now we actually convert to tensor\n // NOTE: In the same way as the python library, we return a batched tensor, regardless of\n // whether we have a single input or multiple inputs.\n const dims = [encodedTokens.length, encodedTokens[0].input_ids.length];\n\n for (const key of Object.keys(encodedTokens[0])) {\n result[key] = new Tensor('int64',\n BigInt64Array.from(encodedTokens.flatMap(x => x[key]).map(BigInt)),\n dims\n );\n }\n\n } else {\n for (const key of Object.keys(encodedTokens[0])) {\n result[key] = encodedTokens.map(x => x[key]);\n }\n\n // If not returning a tensor, we match the input type\n if (!isBatched) {\n // Input was not batched, so we unwrap\n for (const key of Object.keys(result)) {\n result[key] = result[key][0];\n }\n }\n }\n\n return /** @type {BatchEncoding} */(result);\n }\n\n /**\n * Encodes a single text using the preprocessor pipeline of the tokenizer.\n *\n * @param {string|null} text The text to encode.\n * @returns {string[]|null} The encoded tokens.\n */\n _encode_text(text) {\n if (text === null) return null;\n\n // Actual function which does encoding, for a single text\n // First, we take care of special tokens. Needed to avoid issues arising from\n // normalization and/or pretokenization (which may not preserve special tokens)\n const sections = this.added_tokens_regex ? text.split(this.added_tokens_regex).filter(x => x) : [text];\n\n const tokens = sections.map((x, section_index) => {\n const addedToken = this.added_tokens.find(t => t.content === x);\n if (addedToken !== undefined) {\n // Ignore added tokens\n return x\n } else {\n if (this.remove_space === true) {\n x = x.trim().split(/\\s+/).join(' ');\n }\n if (this.do_lowercase_and_remove_accent) {\n x = lowercase_and_remove_accent(x);\n }\n\n if (this.normalizer !== null) {\n x = this.normalizer(x);\n }\n\n // If, after normalization, this section is empty (e.g., trimming whitespace),\n // we return an empty array\n if (x.length === 0) {\n return [];\n }\n\n const sectionTokens = (this.pre_tokenizer !== null) ? this.pre_tokenizer(x, {\n section_index,\n }) : [x];\n\n const tokens = this.model(sectionTokens);\n\n return tokens;\n }\n }).flat();\n\n return tokens;\n }\n\n /**\n * Encodes a single text or a pair of texts using the model's tokenizer.\n *\n * @param {string} text The text to encode.\n * @param {Object} options An optional object containing the following properties:\n * @param {string} [options.text_pair=null] The optional second text to encode.\n * @param {boolean} [options.add_special_tokens=true] Whether or not to add the special tokens associated with the corresponding model.\n * @param {boolean} [options.return_token_type_ids=null] Whether to return token_type_ids.\n * @returns {EncodingSingle} An object containing the encoded text.\n * @private\n */\n _encode_plus(text, {\n text_pair = null,\n add_special_tokens = true,\n return_token_type_ids = null,\n } = {}) {\n\n const { tokens, token_type_ids } = this._tokenize_helper(text, { pair: text_pair, add_special_tokens });\n\n const input_ids = this.model.convert_tokens_to_ids(tokens);\n\n const result = {\n input_ids,\n attention_mask: new Array(input_ids.length).fill(1),\n }\n if ((return_token_type_ids ?? this.return_token_type_ids) && token_type_ids) {\n result.token_type_ids = token_type_ids;\n }\n return result;\n }\n\n /**\n * Internal helper function to tokenize a text, and optionally a pair of texts.\n * @param {string} text The text to tokenize.\n * @param {Object} options An optional object containing the following properties:\n * @param {string} [options.pair=null] The optional second text to tokenize.\n * @param {boolean} [options.add_special_tokens=false] Whether or not to add the special tokens associated with the corresponding model.\n * @returns {{tokens: string[], token_type_ids?: number[]}} An object containing the tokens and optionally the token type IDs.\n */\n _tokenize_helper(text, {\n pair = null,\n add_special_tokens = false,\n } = {}) {\n const tokens = this._encode_text(text);\n const tokens2 = this._encode_text(pair);\n\n return this.post_processor\n ? this.post_processor(tokens, tokens2, { add_special_tokens })\n : { tokens: mergeArrays(tokens ?? [], tokens2 ?? []) };\n }\n\n /**\n * Converts a string into a sequence of tokens.\n * @param {string} text The sequence to be encoded.\n * @param {Object} options An optional object containing the following properties:\n * @param {string} [options.pair] A second sequence to be encoded with the first.\n * @param {boolean} [options.add_special_tokens=false] Whether or not to add the special tokens associated with the corresponding model.\n * @returns {string[]} The list of tokens.\n */\n tokenize(text, {\n pair = null,\n add_special_tokens = false,\n } = {}) {\n return this._tokenize_helper(text, { pair, add_special_tokens }).tokens;\n }\n\n /**\n * Encodes a single text or a pair of texts using the model's tokenizer.\n *\n * @param {string} text The text to encode.\n * @param {Object} options An optional object containing the following properties:\n * @param {string} [options.text_pair=null] The optional second text to encode.\n * @param {boolean} [options.add_special_tokens=true] Whether or not to add the special tokens associated with the corresponding model.\n * @param {boolean} [options.return_token_type_ids=null] Whether to return token_type_ids.\n * @returns {number[]} An array of token IDs representing the encoded text(s).\n */\n encode(text, {\n text_pair = null,\n add_special_tokens = true,\n return_token_type_ids = null,\n } = {}) {\n return this._encode_plus(text, {\n text_pair,\n add_special_tokens,\n return_token_type_ids,\n }).input_ids;\n }\n\n /**\n * Decode a batch of tokenized sequences.\n * @param {number[][]|Tensor} batch List/Tensor of tokenized input sequences.\n * @param {Object} decode_args (Optional) Object with decoding arguments.\n * @returns {string[]} List of decoded sequences.\n */\n batch_decode(batch, decode_args = {}) {\n if (batch instanceof Tensor) {\n batch = batch.tolist();\n }\n return batch.map(x => this.decode(x, decode_args));\n }\n\n /**\n * Decodes a sequence of token IDs back to a string.\n *\n * @param {number[]|bigint[]|Tensor} token_ids List/Tensor of token IDs to decode.\n * @param {Object} [decode_args={}]\n * @param {boolean} [decode_args.skip_special_tokens=false] If true, special tokens are removed from the output string.\n * @param {boolean} [decode_args.clean_up_tokenization_spaces=true] If true, spaces before punctuations and abbreviated forms are removed.\n *\n * @returns {string} The decoded string.\n * @throws {Error} If `token_ids` is not a non-empty array of integers.\n */\n decode(\n token_ids,\n decode_args = {},\n ) {\n if (token_ids instanceof Tensor) {\n token_ids = prepareTensorForDecode(token_ids);\n }\n\n if (!Array.isArray(token_ids) || token_ids.length === 0 || !isIntegralNumber(token_ids[0])) {\n throw Error(\"token_ids must be a non-empty array of integers.\");\n }\n\n return this.decode_single(token_ids, decode_args)\n }\n\n /**\n * Decode a single list of token ids to a string.\n * @param {number[]|bigint[]} token_ids List of token ids to decode\n * @param {Object} decode_args Optional arguments for decoding\n * @param {boolean} [decode_args.skip_special_tokens=false] Whether to skip special tokens during decoding\n * @param {boolean} [decode_args.clean_up_tokenization_spaces=null] Whether to clean up tokenization spaces during decoding.\n * If null, the value is set to `this.decoder.cleanup` if it exists, falling back to `this.clean_up_tokenization_spaces` if it exists, falling back to `true`.\n * @returns {string} The decoded string\n */\n decode_single(\n token_ids,\n {\n skip_special_tokens = false,\n clean_up_tokenization_spaces = null,\n }\n ) {\n let tokens = this.model.convert_ids_to_tokens(token_ids);\n if (skip_special_tokens) {\n tokens = tokens.filter(x => !this.special_tokens.includes(x));\n }\n\n // If `this.decoder` is null, we just join tokens with a space:\n // https://github.com/huggingface/tokenizers/blob/8edec536a737cb04494b454805be16c020abb14f/tokenizers/src/tokenizer/mod.rs#L835\n /** @type {string} */\n let decoded = this.decoder ? this.decoder(tokens) : tokens.join(' ');\n\n // Slight hack, but prevents having to pass `skip_special_tokens` to\n // each call to `decode`, which would lead to code duplication.\n if (this.decoder && this.decoder.end_of_word_suffix) {\n decoded = decoded.replaceAll(this.decoder.end_of_word_suffix, ' ');\n if (skip_special_tokens) {\n decoded = decoded.trim();\n }\n }\n\n if (clean_up_tokenization_spaces ?? this.clean_up_tokenization_spaces) {\n decoded = clean_up_tokenization(decoded);\n }\n\n return decoded;\n }\n\n /**\n * Retrieve the chat template string used for tokenizing chat messages. This template is used\n * internally by the `apply_chat_template` method and can also be used externally to retrieve the model's chat\n * template for better generation tracking.\n * \n * @param {Object} options An optional object containing the following properties:\n * @param {string} [options.chat_template=null]\n * A Jinja template or the name of a template to use for this conversion.\n * It is usually not necessary to pass anything to this argument,\n * as the model's template will be used by default.\n * @param {Object[]} [options.tools=null]\n * A list of tools (callable functions) that will be accessible to the model. If the template does not\n * support function calling, this argument will have no effect. Each tool should be passed as a JSON Schema,\n * giving the name, description and argument types for the tool. See our\n * [chat templating guide](https://huggingface.co/docs/transformers/main/en/chat_templating#automated-function-conversion-for-tool-use)\n * for more information.\n * @returns {string} The chat template string.\n */\n get_chat_template({\n chat_template = null,\n tools = null,\n } = {}) {\n\n // First, handle the cases when the model has a dict of multiple templates\n if (this.chat_template && typeof this.chat_template === 'object') {\n const template_dict = this.chat_template;\n\n if (chat_template !== null && Object.hasOwn(template_dict, chat_template)) {\n // The user can pass the name of a template to the chat template argument instead of an entire template\n chat_template = template_dict[chat_template];\n } else if (chat_template === null) {\n if (tools !== null && 'tool_use' in template_dict) {\n chat_template = template_dict['tool_use'];\n } else if ('default' in template_dict) {\n chat_template = template_dict['default'];\n } else {\n throw Error(\n `This model has multiple chat templates with no default specified! Please either pass a chat ` +\n `template or the name of the template you wish to use to the 'chat_template' argument. Available ` +\n `template names are ${Object.keys(template_dict).sort()}.`\n )\n }\n }\n } else if (chat_template === null) {\n // These are the cases when the model has a single template\n // priority: `chat_template` argument > `tokenizer.chat_template`\n if (this.chat_template) {\n chat_template = this.chat_template;\n } else {\n throw Error(\n \"Cannot use apply_chat_template() because tokenizer.chat_template is not set and no template \" +\n \"argument was passed! For information about writing templates and setting the \" +\n \"tokenizer.chat_template attribute, please see the documentation at \" +\n \"https://huggingface.co/docs/transformers/main/en/chat_templating\"\n )\n }\n }\n return chat_template;\n }\n\n /**\n * Converts a list of message objects with `\"role\"` and `\"content\"` keys to a list of token\n * ids. This method is intended for use with chat models, and will read the tokenizer's chat_template attribute to\n * determine the format and control tokens to use when converting.\n * \n * See [here](https://huggingface.co/docs/transformers/chat_templating) for more information.\n * \n * **Example:** Applying a chat template to a conversation.\n * \n * ```javascript\n * import { AutoTokenizer } from \"@huggingface/transformers\";\n * \n * const tokenizer = await AutoTokenizer.from_pretrained(\"Xenova/mistral-tokenizer-v1\");\n * \n * const chat = [\n * { \"role\": \"user\", \"content\": \"Hello, how are you?\" },\n * { \"role\": \"assistant\", \"content\": \"I'm doing great. How can I help you today?\" },\n * { \"role\": \"user\", \"content\": \"I'd like to show off how chat templating works!\" },\n * ]\n * \n * const text = tokenizer.apply_chat_template(chat, { tokenize: false });\n * // \"<s>[INST] Hello, how are you? [/INST]I'm doing great. How can I help you today?</s> [INST] I'd like to show off how chat templating works! [/INST]\"\n * \n * const input_ids = tokenizer.apply_chat_template(chat, { tokenize: true, return_tensor: false });\n * // [1, 733, 16289, 28793, 22557, 28725, 910, 460, 368, 28804, 733, 28748, 16289, 28793, 28737, 28742, 28719, 2548, 1598, 28723, 1602, 541, 315, 1316, 368, 3154, 28804, 2, 28705, 733, 16289, 28793, 315, 28742, 28715, 737, 298, 1347, 805, 910, 10706, 5752, 1077, 3791, 28808, 733, 28748, 16289, 28793]\n * ```\n * \n * @param {Message[]} conversation A list of message objects with `\"role\"` and `\"content\"` keys,\n * representing the chat history so far.\n * @param {Object} options An optional object containing the following properties:\n * @param {string} [options.chat_template=null] A Jinja template to use for this conversion. If\n * this is not passed, the model's chat template will be used instead.\n * @param {Object[]} [options.tools=null]\n * A list of tools (callable functions) that will be accessible to the model. If the template does not\n * support function calling, this argument will have no effect. Each tool should be passed as a JSON Schema,\n * giving the name, description and argument types for the tool. See our\n * [chat templating guide](https://huggingface.co/docs/transformers/main/en/chat_templating#automated-function-conversion-for-tool-use)\n * for more information.\n * @param {Record<string, string>[]} [options.documents=null]\n * A list of dicts representing documents that will be accessible to the model if it is performing RAG\n * (retrieval-augmented generation). If the template does not support RAG, this argument will have no\n * effect. We recommend that each document should be a dict containing \"title\" and \"text\" keys. Please\n * see the RAG section of the [chat templating guide](https://huggingface.co/docs/transformers/main/en/chat_templating#arguments-for-RAG)\n * for examples of passing documents with chat templates.\n * @param {boolean} [options.add_generation_prompt=false] Whether to end the prompt with the token(s) that indicate\n * the start of an assistant message. This is useful when you want to generate a response from the model.\n * Note that this argument will be passed to the chat template, and so it must be supported in the\n * template for this argument to have any effect.\n * @param {boolean} [options.tokenize=true] Whether to tokenize the output. If false, the output will be a string.\n * @param {boolean} [options.padding=false] Whether to pad sequences to the maximum length. Has no effect if tokenize is false.\n * @param {boolean} [options.truncation=false] Whether to truncate sequences to the maximum length. Has no effect if tokenize is false.\n * @param {number} [options.max_length=null] Maximum length (in tokens) to use for padding or truncation. Has no effect if tokenize is false.\n * If not specified, the tokenizer's `max_length` attribute will be used as a default.\n * @param {boolean} [options.return_tensor=true] Whether to return the output as a Tensor or an Array. Has no effect if tokenize is false.\n * @param {boolean} [options.return_dict=true] Whether to return a dictionary with named outputs. Has no effect if tokenize is false.\n * @param {Object} [options.tokenizer_kwargs={}] Additional options to pass to the tokenizer.\n * @returns {string | Tensor | number[]| number[][]|BatchEncoding} The tokenized output.\n */\n apply_chat_template(conversation, {\n tools = null,\n documents = null,\n chat_template = null,\n add_generation_prompt = false,\n tokenize = true,\n padding = false,\n truncation = false,\n max_length = null,\n return_tensor = true,\n return_dict = false,\n tokenizer_kwargs = {},\n ...kwargs\n } = {}) {\n\n chat_template = this.get_chat_template({ chat_template, tools });\n\n if (typeof chat_template !== 'string') {\n throw Error(`chat_template must be a string, but got ${typeof chat_template}`);\n }\n\n // Compilation function uses a cache to avoid recompiling the same template\n let compiledTemplate = this._compiled_template_cache.get(chat_template);\n if (compiledTemplate === undefined) {\n compiledTemplate = new Template(chat_template);\n this._compiled_template_cache.set(chat_template, compiledTemplate);\n }\n\n const special_tokens_map = Object.create(null);\n for (const key of SPECIAL_TOKEN_ATTRIBUTES) {\n const value = this.getToken(key);\n if (value) {\n special_tokens_map[key] = value;\n }\n }\n\n const rendered = compiledTemplate.render({\n messages: conversation,\n add_generation_prompt,\n tools,\n documents,\n ...special_tokens_map,\n ...kwargs,\n });\n\n if (tokenize) {\n const out = this._call(rendered, {\n add_special_tokens: false,\n padding,\n truncation,\n max_length,\n return_tensor,\n ...tokenizer_kwargs,\n });\n return return_dict ? out : out.input_ids;\n }\n\n return rendered;\n }\n}\n\n/**\n * BertTokenizer is a class used to tokenize text for BERT models.\n * @extends PreTrainedTokenizer\n */\nexport class BertTokenizer extends PreTrainedTokenizer {\n return_token_type_ids = true;\n}\n/**\n * Albert tokenizer\n * @extends PreTrainedTokenizer\n */\nexport class AlbertTokenizer extends PreTrainedTokenizer {\n return_token_type_ids = true;\n}\nexport class MobileBertTokenizer extends PreTrainedTokenizer {\n return_token_type_ids = true;\n}\nexport class SqueezeBertTokenizer extends PreTrainedTokenizer {\n return_token_type_ids = true;\n}\nexport class DebertaTokenizer extends PreTrainedTokenizer {\n return_token_type_ids = true;\n}\nexport class DebertaV2Tokenizer extends PreTrainedTokenizer {\n return_token_type_ids = true;\n}\nexport class HerbertTokenizer extends PreTrainedTokenizer {\n return_token_type_ids = true;\n}\nexport class ConvBertTokenizer extends PreTrainedTokenizer {\n return_token_type_ids = true;\n}\nexport class RoFormerTokenizer extends PreTrainedTokenizer {\n return_token_type_ids = true;\n}\nexport class DistilBertTokenizer extends PreTrainedTokenizer { }\nexport class CamembertTokenizer extends PreTrainedTokenizer { }\nexport class XLMTokenizer extends PreTrainedTokenizer {\n return_token_type_ids = true;\n\n constructor(tokenizerJSON, tokenizerConfig) {\n super(tokenizerJSON, tokenizerConfig);\n console.warn('WARNING: `XLMTokenizer` is not yet supported by Hugging Face\\'s \"fast\" tokenizers library. Therefore, you may experience slightly inaccurate results.')\n }\n}\nexport class ElectraTokenizer extends PreTrainedTokenizer {\n return_token_type_ids = true;\n}\n\nexport class T5Tokenizer extends PreTrainedTokenizer { }\nexport class GPT2Tokenizer extends PreTrainedTokenizer { }\nexport class BartTokenizer extends PreTrainedTokenizer { }\nexport class MBartTokenizer extends PreTrainedTokenizer {\n constructor(tokenizerJSON, tokenizerConfig) {\n super(tokenizerJSON, tokenizerConfig);\n\n this.languageRegex = /^[a-z]{2}_[A-Z]{2}$/;\n this.language_codes = this.special_tokens.filter(x => this.languageRegex.test(x));\n this.lang_to_token = x => x; // Identity function\n }\n\n /**\n * Helper function to build translation inputs for an `MBartTokenizer`.\n * @param {string|string[]} raw_inputs The text to tokenize.\n * @param {Object} tokenizer_options Options to be sent to the tokenizer\n * @param {Object} generate_kwargs Generation options.\n * @returns {Object} Object to be passed to the model.\n */\n _build_translation_inputs(raw_inputs, tokenizer_options, generate_kwargs) {\n return _build_translation_inputs(this, raw_inputs, tokenizer_options, generate_kwargs);\n }\n}\nexport class MBart50Tokenizer extends MBartTokenizer { } // NOTE: extends MBartTokenizer\n\nexport class RobertaTokenizer extends PreTrainedTokenizer { }\n\nexport class BloomTokenizer extends PreTrainedTokenizer { }\n\nconst SPIECE_UNDERLINE = \"â–\";\n\nexport class LlamaTokenizer extends PreTrainedTokenizer {\n\n padding_side = 'left';\n\n constructor(tokenizerJSON, tokenizerConfig) {\n super(tokenizerJSON, tokenizerConfig);\n\n this.legacy = tokenizerConfig.legacy ?? true;\n if (!this.legacy) {\n // See https://github.com/huggingface/transformers/pull/24565 for more information\n this.normalizer = null;\n this.pre_tokenizer = new MetaspacePreTokenizer({\n replacement: SPIECE_UNDERLINE,\n add_prefix_space: true,\n prepend_scheme: \"first\",\n });\n }\n }\n\n /**\n * Helper function to handle legacy encoding of SPM tokenizers.\n * Adapted from https://github.com/huggingface/transformers/blob/e6dcf8abd6f65bb4b6dfc1831b20d9ba49ce00e2/src/transformers/models/t5/tokenization_t5.py#L374-L387\n * @param {string} text The text to encode.\n * @returns {string[]} The encoded tokens.\n */\n _encode_text(text) {\n if (text === null) return null;\n\n if (this.legacy || text.length === 0) {\n return super._encode_text(text);\n }\n\n let tokens = super._encode_text(SPIECE_UNDERLINE + text.replaceAll(SPIECE_UNDERLINE, \" \"));\n if (tokens.length > 1 && tokens[0] === SPIECE_UNDERLINE && this.special_tokens.includes(tokens[1])) {\n tokens = tokens.slice(1);\n }\n return tokens;\n }\n}\nexport class CodeLlamaTokenizer extends PreTrainedTokenizer { }\n\nexport class XLMRobertaTokenizer extends PreTrainedTokenizer { }\nexport class MPNetTokenizer extends PreTrainedTokenizer { }\n\nexport class FalconTokenizer extends PreTrainedTokenizer { }\n\nexport class GPTNeoXTokenizer extends PreTrainedTokenizer { }\n\nexport class EsmTokenizer extends PreTrainedTokenizer { }\n\nexport class Qwen2Tokenizer extends PreTrainedTokenizer { }\n\nexport class GemmaTokenizer extends PreTrainedTokenizer { }\n\nexport class Grok1Tokenizer extends PreTrainedTokenizer { }\n\n/**\n * Helper function to build translation inputs for an `NllbTokenizer` or `M2M100Tokenizer`.\n * @param {PreTrainedTokenizer} self The tokenizer instance.\n * @param {string|string[]} raw_inputs The text to tokenize.\n * @param {Object} tokenizer_options Options to be sent to the tokenizer\n * @param {Object} generate_kwargs Generation options.\n * @returns {Object} Object to be passed to the model.\n * @private\n */\nfunction _build_translation_inputs(self, raw_inputs, tokenizer_options, generate_kwargs) {\n if (!('language_codes' in self) || !Array.isArray(self.language_codes)) {\n throw new Error('Tokenizer must have `language_codes` attribute set and it should be an array of language ids.')\n }\n if (!('languageRegex' in self) || !(self.languageRegex instanceof RegExp)) {\n throw new Error('Tokenizer must have `languageRegex` attribute set and it should be a regular expression.')\n }\n if (!('lang_to_token' in self) || typeof self.lang_to_token !== 'function') {\n throw new Error('Tokenizer must have `lang_to_token` attribute set and it should be a function.')\n }\n const src_lang_token = generate_kwargs.src_lang;\n const tgt_lang_token = generate_kwargs.tgt_lang;\n\n // Check that the target language is valid:\n if (!self.language_codes.includes(tgt_lang_token)) {\n throw new Error(`Target language code \"${tgt_lang_token}\" is not valid. Must be one of: {${self.language_codes.join(', ')}}`);\n }\n\n // Allow `src_lang` to be optional. If not set, we'll use the tokenizer's default.\n if (src_lang_token !== undefined) {\n // Check that the source language is valid:\n if (!self.language_codes.includes(src_lang_token)) {\n throw new Error(`Source language code \"${src_lang_token}\" is not valid. Must be one of: {${self.language_codes.join(', ')}}`);\n }\n\n // In the same way as the Python library, we override the post-processor\n // to force the source language to be first:\n for (const item of self.post_processor.config.single) {\n if ('SpecialToken' in item && self.languageRegex.test(item.SpecialToken.id)) {\n item.SpecialToken.id = self.lang_to_token(src_lang_token);\n break;\n }\n }\n // TODO: Do the same for pair?\n }\n\n // Override the `forced_bos_token_id` to force the correct language\n generate_kwargs.forced_bos_token_id = self.model.convert_tokens_to_ids([self.lang_to_token(tgt_lang_token)])[0];\n\n return self._call(raw_inputs, tokenizer_options);\n}\n\n/**\n * The NllbTokenizer class is used to tokenize text for NLLB (\"No Language Left Behind\") models.\n * \n * No Language Left Behind (NLLB) is a first-of-its-kind, AI breakthrough project\n * that open-sources models capable of delivering high-quality translations directly\n * between any pair of 200+ languages — including low-resource languages like Asturian,\n * Luganda, Urdu and more. It aims to help people communicate with anyone, anywhere,\n * regardless of their language preferences. For more information, check out their\n * [paper](https://arxiv.org/abs/2207.04672).\n * \n * For a list of supported languages (along with their language codes),\n * @see {@link https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200}\n */\nexport class NllbTokenizer extends PreTrainedTokenizer {\n\n constructor(tokenizerJSON, tokenizerConfig) {\n super(tokenizerJSON, tokenizerConfig);\n\n this.languageRegex = /^[a-z]{3}_[A-Z][a-z]{3}$/;\n this.language_codes = this.special_tokens.filter(x => this.languageRegex.test(x));\n this.lang_to_token = x => x; // Identity function\n }\n\n /**\n * Helper function to build translation inputs for an `NllbTokenizer`.\n * @param {string|string[]} raw_inputs The text to tokenize.\n * @param {Object} tokenizer_options Options to be sent to the tokenizer\n * @param {Object} generate_kwargs Generation options.\n * @returns {Object} Object to be passed to the model.\n */\n _build_translation_inputs(raw_inputs, tokenizer_options, generate_kwargs) {\n return _build_translation_inputs(this, raw_inputs, tokenizer_options, generate_kwargs);\n }\n}\n\n/**\n * The M2M100Tokenizer class is used to tokenize text for M2M100 (\"Many-to-Many\") models.\n * \n * M2M100 is a multilingual encoder-decoder (seq-to-seq) model trained for Many-to-Many\n * multilingual translation. It was introduced in this [paper](https://arxiv.org/abs/2010.11125)\n * and first released in [this](https://github.com/pytorch/fairseq/tree/master/examples/m2m_100) repository.\n * \n * For a list of supported languages (along with their language codes),\n * @see {@link https://huggingface.co/facebook/m2m100_418M#languages-covered}\n */\nexport class M2M100Tokenizer extends PreTrainedTokenizer {\n constructor(tokenizerJSON, tokenizerConfig) {\n super(tokenizerJSON, tokenizerConfig);\n\n this.languageRegex = /^__[a-z]{2,3}__$/;\n this.language_codes = this.special_tokens\n .filter(x => this.languageRegex.test(x))\n .map(x => x.slice(2, -2));\n this.lang_to_token = x => `__${x}__`;\n }\n\n /**\n * Helper function to build translation inputs for an `M2M100Tokenizer`.\n * @param {string|string[]} raw_inputs The text to tokenize.\n * @param {Object} tokenizer_options Options to be sent to the tokenizer\n * @param {Object} generate_kwargs Generation options.\n * @returns {Object} Object to be passed to the model.\n */\n _build_translation_inputs(raw_inputs, tokenizer_options, generate_kwargs) {\n return _build_translation_inputs(this, raw_inputs, tokenizer_options, generate_kwargs);\n }\n}\n\n/**\n * WhisperTokenizer tokenizer\n * @extends PreTrainedTokenizer\n */\nexport class WhisperTokenizer extends PreTrainedTokenizer {\n\n get timestamp_begin() {\n return this.model.convert_tokens_to_ids([\"<|notimestamps|>\"])[0] + 1;\n }\n\n /**\n * Decodes automatic speech recognition (ASR) sequences.\n * @param {Array<{tokens: bigint[], token_timestamps?: number[], stride: number[]}>} sequences The sequences to decode.\n * @param {Object} options The options to use for decoding.\n * @returns {Array<string|{chunks?: undefined|Array<{language: string|null, timestamp: Array<number|null>, text: string}>}>} The decoded sequences.\n */\n _decode_asr(sequences, {\n return_timestamps = false,\n return_language = false,\n time_precision = null,\n force_full_sequences = true\n } = {}) {\n // Set force_full_sequences=false if you want streaming\n // TODO add support for `return_language`\n\n // Internal method meant to only be used by asr pipeline.\n // Handles all the little quirks specific to whisper to handle\n // the various options not allowed in other seq2seq models\n\n // =========== Overview ============\n // - iterate over all outputs\n // - all tokens within output\n // - Each token can be\n // - language token\n // - special token\n // - timestamp token\n // - text token\n // - We accumulate the text tokens.\n // - We split on end timestamps\n // - Lots of complexity comes from stride and timestamps\n\n if (time_precision === null) {\n throw Error(\"Must specify time_precision\")\n }\n let last_language = null;\n\n const returnWordTimestamps = return_timestamps === \"word\";\n\n function new_chunk() {\n return { \"language\": last_language, \"timestamp\": [null, null], \"text\": \"\" };\n }\n\n // Welcome to the state machine!\n const chunks = [];\n let chunk = new_chunk();\n let time_offset = 0.0;\n const timestamp_begin = this.timestamp_begin;\n // Whisper timestamp tokens start from 0.00 and go to timestamp 30.00 in 0.02 increments. \n // We can calculate the last time stamp token as timestamp_begin plus the number of tokens \n // tokens from 0.00 to 30.00 which is 1500. \n const total_timestamp_tokens = 1500; // (30.00 - 0.00) / 0.02\n const timestamp_end = timestamp_begin + total_timestamp_tokens;\n\n let previous_tokens = [];\n let previous_token_timestamps = [];\n\n let skip = false;\n let right_stride_start = null;\n\n\n const all_special_ids = new Set(this.all_special_ids);\n\n for (const output of sequences) {\n // NOTE: python version has batches, so it uses [0]\n const token_ids = output.tokens;\n const token_timestamps = returnWordTimestamps ? output.token_timestamps : null;\n\n // These keep track of timestamps within strides, which need\n // to be skipped and resolve all tokens in a single chunk.\n let last_timestamp = null;\n let first_timestamp = timestamp_begin;\n\n if (\"stride\" in output) {\n const [chunk_len, stride_left, stride_right] = output.stride;\n\n // Offset the timings to account for the other `model_outputs`.\n time_offset -= stride_left;\n right_stride_start = chunk_len - stride_right;\n\n // Keeping track of timestamps within strides\n // We're going to NOT split on those, and delay until we're\n // out of BOTH stride. Otherwise lots of issues occur and\n // corner cases\n if (stride_left) {\n first_timestamp = stride_left / time_precision + timestamp_begin;\n }\n\n if (stride_right) {\n for (let i = token_ids.length - 1; i >= 0; --i) {\n const token = Number(token_ids[i]);\n if (token >= timestamp_begin) {\n // There can be several token in the right stride\n // But the last one is ALWAYS going to be skipped\n if (last_timestamp !== null && (token - timestamp_begin) * time_precision < right_stride_start) {\n break;\n }\n last_timestamp = token;\n }\n }\n }\n }\n\n let current_tokens = [];\n let current_token_timestamps = [];\n\n // - all tokens within output\n for (let i = 0; i < token_ids.length; ++i) {\n const token = Number(token_ids[i]);\n // 4 possible states for each token\n // - 1/ Language code\n // - 2/ all other special tokens (which we ignore)\n // - 3/ Timestamp\n // - 4/ Regular text\n\n if (all_special_ids.has(token)) {\n const text = this.decode([token]);\n const language = WHISPER_LANGUAGE_MAPPING.get(text.slice(2, -2));\n\n if (language !== undefined) {\n // 1/ Indeed some language\n // TODO Handle when language is different from the previous\n // one, and we cannot use timestamped tokens to create chunks\n if (last_language !== null && language !== last_language && !return_timestamps) {\n previous_tokens.push(current_tokens);\n const resolved_tokens = this.findLongestCommonSequence(previous_tokens)[0];\n const resolved_text = this.decode(resolved_tokens);\n chunk.text = resolved_text;\n chunks.push(chunk);\n\n // Flush all our temporary context\n previous_tokens = [];\n current_tokens = [];\n chunk = new_chunk();\n }\n\n last_language = chunk.language = language;\n } else {\n // 2/ This is a regular special token, ignoring it\n }\n } else if (token >= timestamp_begin && token <= timestamp_end) {\n // 3/ Timestamp token\n const time = (token - timestamp_begin) * time_precision + time_offset;\n const rounded_time = round(time, 2);\n\n if (last_timestamp !== null && token >= last_timestamp) {\n // Whisper outputted a timestamp token, but it falls within\n // our stride, so we're going to skip it for the time being\n // and resolve this later\n // Skip is necessary because timestamp tokens always come\n // by pair, so we need to skip the next one too (which would mark the start of another chunk).\n skip = true;\n } else if (skip || (previous_tokens.length > 0 && token < first_timestamp)) {\n skip = false;\n } else if (chunk.timestamp[0] === null) {\n chunk.timestamp[0] = rounded_time;\n } else {\n // This is the end of the timestamp chunk\n if (rounded_time === chunk.timestamp[0]) {\n // This is a bug in timestamp token output\n // where we're taking the duplicate token\n // as a stop where it should be a start.\n // This is an issue in the underlying model output\n // Let's just skip it so it becomes de-factor a start agin\n } else {\n chunk.timestamp[1] = rounded_time;\n\n // Handling merges\n previous_tokens.push(current_tokens)\n\n if (returnWordTimestamps) {\n previous_token_timestamps.push(current_token_timestamps);\n }\n const [resolved_tokens, resolved_token_timestamps] = this.findLongestCommonSequence(\n previous_tokens, previous_token_timestamps\n )\n\n const resolved_text = this.decode(resolved_tokens)\n chunk.text = resolved_text\n\n if (returnWordTimestamps) {\n chunk.words = this.collateWordTimestamps(\n resolved_tokens, resolved_token_timestamps, last_language,\n )\n }\n\n chunks.push(chunk)\n\n // Flush all our temporary context\n previous_tokens = []\n current_tokens = []\n previous_token_timestamps = []\n current_token_timestamps = []\n chunk = new_chunk()\n }\n }\n\n } else {\n // 4/ Regular token\n // We just append to the list of all tokens so we can handle\n // merges later and decode into text.\n current_tokens.push(token)\n\n if (returnWordTimestamps) {\n let start_time = round(token_timestamps[i] + time_offset, 2);\n\n let end_time;\n if (i + 1 < token_timestamps.length) {\n end_time = round(token_timestamps[i + 1] + time_offset, 2);\n\n // Do not allow punctuation-only tokens to have a duration.\n // This prevents long pauses from messing up the timestamps.\n const decoded_text = this.decode([token]);\n if (PUNCTUATION_ONLY_REGEX.test(decoded_text)) {\n // Add `time_precision` to avoid overlapping timestamps\n end_time = round(Math.min(start_time + time_precision, end_time), 2);\n }\n } else {\n // should never happen\n end_time = null;\n }\n current_token_timestamps.push([start_time, end_time]);\n }\n\n }\n }\n\n if ('stride' in output) {\n const [chunk_len, stride_left, stride_right] = output.stride;\n time_offset += chunk_len - stride_right\n }\n\n // Leftover tokens\n if (current_tokens.length > 0) {\n previous_tokens.push(current_tokens)\n if (returnWordTimestamps) {\n previous_token_timestamps.push(current_token_timestamps);\n }\n } else if (previous_tokens.every(p => p.length === 0)) {\n // Flushing previous tokens (END)\"\n chunk = new_chunk()\n previous_tokens = []\n current_tokens = []\n previous_token_timestamps = [];\n current_token_timestamps = [];\n }\n\n }\n\n if (previous_tokens.length > 0) {\n if (force_full_sequences && return_timestamps) {\n // Last token should always be timestamps, so there shouldn't be\n // leftover\n throw new Error(\n \"Whisper did not predict an ending timestamp, which can happen if audio is cut off in the middle of a word. \" +\n \"Also make sure WhisperTimeStampLogitsProcessor was used during generation.\"\n );\n }\n\n // Happens when we don't use timestamps\n const [resolved_tokens, resolved_token_timestamps] = this.findLongestCommonSequence(previous_tokens, previous_token_timestamps);\n\n // Flushing previous tokens (FINAL)\n const resolved_text = this.decode(resolved_tokens);\n chunk.text = resolved_text;\n if (returnWordTimestamps) {\n chunk.words = this.collateWordTimestamps(\n resolved_tokens, resolved_token_timestamps, last_language,\n )\n }\n chunks.push(chunk);\n }\n\n let optional = Object.create(null);\n\n // Preparing and cleaning up the pipeline output\n const full_text = chunks.map(chunk => chunk.text).join('');\n if (return_timestamps || return_language) {\n for (let i = 0; i < chunks.length; ++i) {\n const chunk = chunks[i];\n if (!return_timestamps) {\n delete chunk[\"timestamp\"];\n }\n\n if (!return_language) {\n delete chunk[\"language\"];\n }\n }\n if (returnWordTimestamps) {\n const new_chunks = [];\n for (const chunk of chunks) {\n for (const word of chunk.words) {\n new_chunks.push(word);\n }\n }\n optional = { \"chunks\": new_chunks };\n } else {\n optional = { \"chunks\": chunks };\n }\n }\n return [full_text, optional];\n\n }\n\n /**\n * Finds the longest common sequence among the provided sequences.\n * @param {number[][]} sequences An array of sequences of token ids to compare.\n * @returns {number[][]} The longest common sequence found.\n * @throws {Error} If there is a bug within the function.\n * @private\n */\n findLongestCommonSequence(sequences, token_timestamp_sequences = null) {\n // It would be much harder to do O(n) because of fault tolerance.\n // We actually have a really good property which is that the total sequence\n // MUST be those subsequences in order.\n // If token_timestamp_sequences is provided, will split those sequences in\n // exactly the same way.\n let leftSequence = sequences[0];\n let leftLength = leftSequence.length;\n let totalSequence = [];\n\n const use_token_timestamp_sequences = Array.isArray(token_timestamp_sequences) && token_timestamp_sequences.length > 0;\n let total_token_timestamp_sequence = use_token_timestamp_sequences ? [] : null;\n let left_token_timestamp_sequence = use_token_timestamp_sequences ? token_timestamp_sequences[0] : null;\n for (let i = 1; i < sequences.length; ++i) {\n const rightSequence = sequences[i];\n let max = 0.0;\n let maxIndices = [leftLength, leftLength, 0, 0];\n // Here we're sliding matches\n // [a, b, c, d]\n // [c, d, f]\n // = [c] == [d]\n\n // [a, b, c, d]\n // [c, d, f]\n // = [c, d] == [c, d]\n\n\n // [a, b, c, d]\n // [c, d, f]\n\n // = [b, c, d] == [c, d, f]\n\n // [a, b, c, d]\n // [c, d, f]\n\n // [a, b, c] == [c, d, f]\n\n // [a, b, c, d]\n // [d, f]\n\n // [a, b] == [d, f]\n\n // [a, b, c, d]\n // [f]\n\n // [a] == [f]\n\n const rightLength = rightSequence.length;\n for (let j = 1; j < leftLength + rightLength; ++j) {\n // Slightly convoluted because we don't want out of bound indices\n // This will be necessary for a small conflict resolution optimization\n // later\n const leftStart = Math.max(0, leftLength - j);\n const leftStop = Math.min(leftLength, leftLength + rightLength - j);\n const left = leftSequence.slice(leftStart, leftStop);\n const rightStart = Math.max(0, j - leftLength);\n const rightStop = Math.min(rightLength, j);\n const right = rightSequence.slice(rightStart, rightStop);\n if (left.length !== right.length) {\n throw new Error(\"There is a bug within whisper `decode_asr` function, please report it. Dropping to prevent bad inference.\");\n }\n\n let matches;\n if (use_token_timestamp_sequences) {\n // Get length of longest subsequence of tokens that match\n // and have timestamps that are in order\n matches = left.filter((elem, idx) => (\n elem === right[idx]\n && left_token_timestamp_sequence[leftStart + idx] <= token_timestamp_sequences[i][rightStart + idx]\n )).length;\n } else {\n matches = left.filter((elem, idx) => elem === right[idx]).length;\n }\n\n // epsilon to favor long perfect matches\n const eps = j / 10000.0;\n const matching = matches / j + eps;\n if (matches > 1 && matching > max) {\n max = matching;\n maxIndices = [leftStart, leftStop, rightStart, rightStop];\n }\n }\n const [leftStart, leftStop, rightStart, rightStop] = maxIndices;\n const leftMid = Math.floor((leftStop + leftStart) / 2);\n const rightMid = Math.floor((rightStop + rightStart) / 2);\n totalSequence.push(...leftSequence.slice(0, leftMid));\n leftSequence = rightSequence.slice(rightMid);\n leftLength = leftSequence.length;\n\n if (use_token_timestamp_sequences) {\n total_token_timestamp_sequence.push(...left_token_timestamp_sequence.slice(0, leftMid));\n left_token_timestamp_sequence = token_timestamp_sequences[i].slice(rightMid);\n }\n }\n totalSequence.push(...leftSequence);\n\n if (use_token_timestamp_sequences) {\n total_token_timestamp_sequence.push(...left_token_timestamp_sequence);\n return [totalSequence, total_token_timestamp_sequence];\n } else {\n return [totalSequence, []];\n }\n }\n\n /** @private */\n collateWordTimestamps(tokens, token_timestamps, language) {\n\n const [words, _, token_indices] = this.combineTokensIntoWords(tokens, language);\n\n const timings = [];\n for (let i = 0; i < words.length; ++i) {\n const indices = token_indices[i];\n timings.push({\n text: words[i],\n timestamp: [\n token_timestamps[indices.at(0)][0],\n token_timestamps[indices.at(-1)][1],\n ],\n });\n }\n return timings;\n }\n\n /**\n * Groups tokens by word. Returns a tuple containing a list of strings with the words,\n * and a list of `token_id` sequences with the tokens making up each word.\n * @param {number[]} tokens \n * @param {string} [language] \n * @param {string} prepend_punctionations \n * @param {string} append_punctuations \n * \n * @private\n */\n combineTokensIntoWords(tokens, language, prepend_punctionations = \"\\\"'“¡¿([{-\", append_punctuations = \"\\\"'.。,，!ï¼?？:：â€)]}ã€\") {\n language = language ?? 'english';\n\n let words, word_tokens, token_indices;\n\n if ([\"chinese\", \"japanese\", \"thai\", \"lao\", \"myanmar\"].includes(language)) {\n // These languages don't typically use spaces.\n [words, word_tokens, token_indices] = this.splitTokensOnUnicode(tokens)\n } else {\n [words, word_tokens, token_indices] = this.splitTokensOnSpaces(tokens)\n }\n\n return this.mergePunctuations(words, word_tokens, token_indices, prepend_punctionations, append_punctuations);\n }\n\n /** @type {PreTrainedTokenizer['decode']} */\n decode(\n token_ids,\n decode_args,\n ) {\n let text;\n // @ts-ignore\n if (decode_args?.decode_with_timestamps) {\n if (token_ids instanceof Tensor) {\n token_ids = prepareTensorForDecode(token_ids);\n }\n text = this.decodeWithTimestamps(token_ids, decode_args);\n } else {\n text = super.decode(token_ids, decode_args);\n }\n // TODO: implement offsets\n // if (decode_args.output_offsets) {\n // let offsets = this.computeOffsets\n // }\n return text;\n }\n\n /**\n * @param {number[]|bigint[]} token_ids List of token IDs to decode.\n * @param {Object} decode_args Optional arguments for decoding\n * @private\n */\n decodeWithTimestamps(token_ids, decode_args) {\n const time_precision = decode_args?.time_precision ?? 0.02;\n\n const timestamp_begin = Array.from(this.all_special_ids).at(-1) + 1;\n /**@type {Array} */\n let outputs = [[]];\n for (let token of token_ids) {\n token = Number(token);\n if (token >= timestamp_begin) {\n const timestamp = ((token - timestamp_begin) * time_precision).toFixed(2);\n outputs.push(`<|${timestamp}|>`);\n outputs.push([]);\n } else {\n outputs[outputs.length - 1].push(token);\n }\n }\n outputs = outputs.map(\n s => typeof s === 'string' ? s : super.decode(s, decode_args)\n )\n\n return outputs.join('');\n }\n\n /**\n * Combine tokens into words by splitting at any position where the tokens are decoded as valid unicode points.\n * @param {number[]} tokens \n * @returns {*}\n * @private\n */\n splitTokensOnUnicode(tokens) {\n const decoded_full = this.decode(tokens, {\n // @ts-ignore\n decode_with_timestamps: true,\n });\n const replacement_char = '\\uFFFD';\n\n const words = []\n const word_tokens = []\n const token_indices = []\n let current_tokens = []\n let current_indices = []\n let unicode_offset = 0\n\n for (let token_idx = 0; token_idx < tokens.length; ++token_idx) {\n const token = tokens[token_idx];\n\n current_tokens.push(token);\n current_indices.push(token_idx);\n\n const decoded = this.decode(current_tokens, {\n // @ts-ignore\n decode_with_timestamps: true,\n });\n\n if (!decoded.includes(replacement_char) || decoded_full[unicode_offset + decoded.indexOf(replacement_char)] === replacement_char) {\n words.push(decoded)\n word_tokens.push(current_tokens)\n token_indices.push(current_indices)\n current_tokens = []\n current_indices = []\n unicode_offset += decoded.length;\n }\n\n }\n\n return [words, word_tokens, token_indices]\n }\n\n /**\n * Combine tokens into words by splitting at whitespace and punctuation tokens.\n * @param {number[]} tokens \n * @private\n */\n splitTokensOnSpaces(tokens) {\n\n const [subwords, subword_tokens_list, subword_indices_list] = this.splitTokensOnUnicode(tokens);\n\n const words = []\n const word_tokens = []\n const token_indices = []\n\n const punctuationRegex = new RegExp(`^[${PUNCTUATION_REGEX}]$`, 'gu');\n\n for (let i = 0; i < subwords.length; ++i) {\n\n const subword = subwords[i];\n const subword_tokens = subword_tokens_list[i];\n const subword_indices = subword_indices_list[i];\n\n // @ts-ignore\n const special = subword_tokens[0] >= this.model.tokens_to_ids.get('<|endoftext|>');\n const with_space = subword.startsWith(' ');\n const trimmed = subword.trim();\n const punctuation = punctuationRegex.test(trimmed);\n\n if (special || with_space || punctuation || words.length === 0) {\n words.push(subword);\n word_tokens.push(subword_tokens);\n token_indices.push(subword_indices);\n } else {\n const ix = words.length - 1;\n words[ix] += subword;\n word_tokens[ix].push(...subword_tokens);\n token_indices[ix].push(...subword_indices);\n }\n }\n\n return [words, word_tokens, token_indices];\n\n }\n\n /**\n * Merges punctuation tokens with neighboring words.\n * @param {string[]} words \n * @param {number[][]} tokens \n * @param {number[][]} indices \n * @param {string} prepended \n * @param {string} appended \n * @private\n */\n mergePunctuations(words, tokens, indices, prepended, appended) {\n\n const newWords = structuredClone(words);\n const newTokens = structuredClone(tokens);\n const newIndices = structuredClone(indices);\n\n\n // prepend punctuations\n let i = newWords.length - 2;\n let j = newWords.length - 1;\n\n while (i >= 0) {\n if (newWords[i].startsWith(' ') && prepended.includes(newWords[i].trim())) {\n newWords[j] = newWords[i] + newWords[j];\n newTokens[j] = mergeArrays(newTokens[i], newTokens[j]);\n newIndices[j] = mergeArrays(newIndices[i], newIndices[j]);\n newWords[i] = '';\n newTokens[i] = [];\n newIndices[i] = [];\n } else {\n j = i;\n }\n --i;\n }\n\n // append punctuations\n i = 0;\n j = 1;\n while (j < newWords.length) {\n if (!newWords[i].endsWith(' ') && appended.includes(newWords[j])) {\n newWords[i] += newWords[j];\n newTokens[i] = mergeArrays(newTokens[i], newTokens[j]);\n newIndices[i] = mergeArrays(newIndices[i], newIndices[j]);\n newWords[j] = '';\n newTokens[j] = [];\n newIndices[j] = [];\n } else {\n i = j;\n }\n ++j;\n }\n\n return [\n newWords.filter(x => x),\n newTokens.filter(x => x.length > 0),\n newIndices.filter(x => x.length > 0),\n ]\n }\n}\nexport class CodeGenTokenizer extends PreTrainedTokenizer { }\nexport class CLIPTokenizer extends PreTrainedTokenizer { }\nexport class SiglipTokenizer extends PreTrainedTokenizer { }\n\n/**\n * @todo This model is not yet supported by Hugging Face's \"fast\" tokenizers library (https://github.com/huggingface/tokenizers).\n * Therefore, this implementation (which is based on fast tokenizers) may produce slightly inaccurate results.\n */\nexport class MarianTokenizer extends PreTrainedTokenizer {\n /**\n * Create a new MarianTokenizer instance.\n * @param {Object} tokenizerJSON The JSON of the tokenizer.\n * @param {Object} tokenizerConfig The config of the tokenizer.\n */\n constructor(tokenizerJSON, tokenizerConfig) {\n super(tokenizerJSON, tokenizerConfig);\n\n this.languageRegex = /^(>>\\w+<<)\\s*/g;\n\n this.supported_language_codes = this.model.vocab.filter(\n x => this.languageRegex.test(x)\n );\n\n console.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\\'s \"fast\" tokenizers library. Therefore, you may experience slightly inaccurate results.')\n }\n\n /**\n * Encodes a single text. Overriding this method is necessary since the language codes\n * must be removed before encoding with sentencepiece model.\n * @see https://github.com/huggingface/transformers/blob/12d51db243a00726a548a43cc333390ebae731e3/src/transformers/models/marian/tokenization_marian.py#L204-L213\n *\n * @param {string|null} text The text to encode.\n * @returns {Array} The encoded tokens.\n */\n _encode_text(text) {\n if (text === null) return null;\n\n // Check if text starts with language code:\n const [matchInfo, ...remainder] = text.trim().split(this.languageRegex);\n\n if (remainder.length === 0) {\n // No language code, encode normally\n return super._encode_text(matchInfo);\n\n } else if (remainder.length === 2) {\n // Text starts with language code, so we do not encode it with sentencepiece.\n const [language, text] = remainder;\n\n if (!this.supported_language_codes.includes(language)) {\n console.warn(`Unsupported language code \"${language}\" detected, which may lead to unexpected behavior. Should be one of: ${JSON.stringify(this.supported_language_codes)}`)\n }\n return mergeArrays([language], super._encode_text(text));\n }\n }\n\n}\n\nexport class Wav2Vec2CTCTokenizer extends PreTrainedTokenizer { }\n\nexport class BlenderbotTokenizer extends PreTrainedTokenizer { }\nexport class BlenderbotSmallTokenizer extends PreTrainedTokenizer { }\n\nexport class SpeechT5Tokenizer extends PreTrainedTokenizer { }\n\nexport class NougatTokenizer extends PreTrainedTokenizer { }\n\nexport class VitsTokenizer extends PreTrainedTokenizer {\n\n constructor(tokenizerJSON, tokenizerConfig) {\n super(tokenizerJSON, tokenizerConfig);\n\n // Custom decoder function\n this.decoder = new VitsDecoder({});\n }\n}\n\nexport class CohereTokenizer extends PreTrainedTokenizer { }\n\nexport class MgpstrTokenizer extends PreTrainedTokenizer { }\n\n/**\n * Helper class which is used to instantiate pretrained tokenizers with the `from_pretrained` function.\n * The chosen tokenizer class is determined by the type specified in the tokenizer config.\n * \n * @example\n * const tokenizer = await AutoTokenizer.from_pretrained('Xenova/bert-base-uncased');\n */\nexport class AutoTokenizer {\n static TOKENIZER_CLASS_MAPPING = {\n T5Tokenizer,\n DistilBertTokenizer,\n CamembertTokenizer,\n DebertaTokenizer,\n DebertaV2Tokenizer,\n BertTokenizer,\n HerbertTokenizer,\n ConvBertTokenizer,\n RoFormerTokenizer,\n XLMTokenizer,\n ElectraTokenizer,\n MobileBertTokenizer,\n SqueezeBertTokenizer,\n AlbertTokenizer,\n GPT2Tokenizer,\n BartTokenizer,\n MBartTokenizer,\n MBart50Tokenizer,\n RobertaTokenizer,\n WhisperTokenizer,\n CodeGenTokenizer,\n CLIPTokenizer,\n SiglipTokenizer,\n MarianTokenizer,\n BloomTokenizer,\n NllbTokenizer,\n M2M100Tokenizer,\n LlamaTokenizer,\n CodeLlamaTokenizer,\n XLMRobertaTokenizer,\n MPNetTokenizer,\n FalconTokenizer,\n GPTNeoXTokenizer,\n EsmTokenizer,\n Wav2Vec2CTCTokenizer,\n BlenderbotTokenizer,\n BlenderbotSmallTokenizer,\n SpeechT5Tokenizer,\n NougatTokenizer,\n VitsTokenizer,\n Qwen2Tokenizer,\n GemmaTokenizer,\n Grok1Tokenizer,\n CohereTokenizer,\n MgpstrTokenizer,\n\n // Base case:\n PreTrainedTokenizer,\n }\n\n\n /**\n * Instantiate one of the tokenizer classes of the library from a pretrained model.\n * \n * The tokenizer class to instantiate is selected based on the `tokenizer_class` property of the config object\n * (either passed as an argument or loaded from `pretrained_model_name_or_path` if possible)\n * \n * @param {string} pretrained_model_name_or_path The name or path of the pretrained model. Can be either:\n * - A string, the *model id* of a pretrained tokenizer hosted inside a model repo on huggingface.co.\n * Valid model ids can be located at the root-level, like `bert-base-uncased`, or namespaced under a\n * user or organization name, like `dbmdz/bert-base-german-cased`.\n * - A path to a *directory* containing tokenizer files, e.g., `./my_model_directory/`.\n * @param {PretrainedTokenizerOptions} options Additional options for loading the tokenizer.\n * \n * @returns {Promise<PreTrainedTokenizer>} A new instance of the PreTrainedTokenizer class.\n */\n static async from_pretrained(pretrained_model_name_or_path, {\n progress_callback = null,\n config = null,\n cache_dir = null,\n local_files_only = false,\n revision = 'main',\n legacy = null,\n } = {}) {\n\n const [tokenizerJSON, tokenizerConfig] = await loadTokenizer(pretrained_model_name_or_path, {\n progress_callback,\n config,\n cache_dir,\n local_files_only,\n revision,\n legacy,\n })\n\n // Some tokenizers are saved with the \"Fast\" suffix, so we remove that if present.\n const tokenizerName = tokenizerConfig.tokenizer_class?.replace(/Fast$/, '') ?? 'PreTrainedTokenizer';\n\n let cls = this.TOKENIZER_CLASS_MAPPING[tokenizerName];\n if (!cls) {\n console.warn(`Unknown tokenizer class \"${tokenizerName}\", attempting to construct from base class.`);\n cls = PreTrainedTokenizer;\n }\n return new cls(tokenizerJSON, tokenizerConfig);\n }\n}\n", "/**\n * @file Helper module for audio processing. \n * \n * These functions and classes are only used internally, \n * meaning an end-user shouldn't need to access anything here.\n * \n * @module utils/audio\n */\n\nimport {\n getFile,\n} from './hub.js';\nimport { FFT, max } from './maths.js';\nimport {\n calculateReflectOffset, saveBlob,\n} from './core.js';\nimport { apis } from '../env.js';\nimport fs from 'fs';\nimport { Tensor, matmul } from './tensor.js';\n\n\n/**\n * Helper function to read audio from a path/URL.\n * @param {string|URL} url The path/URL to load the audio from.\n * @param {number} sampling_rate The sampling rate to use when decoding the audio.\n * @returns {Promise<Float32Array>} The decoded audio as a `Float32Array`.\n */\nexport async function read_audio(url, sampling_rate) {\n if (typeof AudioContext === 'undefined') {\n // Running in node or an environment without AudioContext\n throw Error(\n \"Unable to load audio from path/URL since `AudioContext` is not available in your environment. \" +\n \"Instead, audio data should be passed directly to the pipeline/processor. \" +\n \"For more information and some example code, see https://huggingface.co/docs/transformers.js/guides/node-audio-processing.\"\n )\n }\n\n const response = await (await getFile(url)).arrayBuffer();\n const audioCTX = new AudioContext({ sampleRate: sampling_rate });\n if (typeof sampling_rate === 'undefined') {\n console.warn(`No sampling rate provided, using default of ${audioCTX.sampleRate}Hz.`)\n }\n const decoded = await audioCTX.decodeAudioData(response);\n\n /** @type {Float32Array} */\n let audio;\n\n // We now replicate HuggingFace's `ffmpeg_read` method:\n if (decoded.numberOfChannels === 2) {\n // When downmixing a stereo audio file to mono using the -ac 1 option in FFmpeg,\n // the audio signal is summed across both channels to create a single mono channel.\n // However, if the audio is at full scale (i.e. the highest possible volume level),\n // the summing of the two channels can cause the audio signal to clip or distort.\n\n // To prevent this clipping, FFmpeg applies a scaling factor of 1/sqrt(2) (~ 0.707)\n // to the audio signal before summing the two channels. This scaling factor ensures\n // that the combined audio signal will not exceed the maximum possible level, even\n // if both channels are at full scale.\n\n // After applying this scaling factor, the audio signal from both channels is summed\n // to create a single mono channel. It's worth noting that this scaling factor is\n // only applied when downmixing stereo audio to mono using the -ac 1 option in FFmpeg.\n // If you're using a different downmixing method, or if you're not downmixing the\n // audio at all, this scaling factor may not be needed.\n const SCALING_FACTOR = Math.sqrt(2);\n\n const left = decoded.getChannelData(0);\n const right = decoded.getChannelData(1);\n\n audio = new Float32Array(left.length);\n for (let i = 0; i < decoded.length; ++i) {\n audio[i] = SCALING_FACTOR * (left[i] + right[i]) / 2;\n }\n\n } else {\n // If the audio is not stereo, we can just use the first channel:\n audio = decoded.getChannelData(0);\n }\n\n return audio;\n}\n\n/**\n * Helper function to generate windows that are special cases of the generalized cosine window.\n * See https://www.mathworks.com/help/signal/ug/generalized-cosine-windows.html for more information.\n * @param {number} M Number of points in the output window. If zero or less, an empty array is returned.\n * @param {number} a_0 Offset for the generalized cosine window.\n * @returns {Float64Array} The generated window.\n */\nfunction generalized_cosine_window(M, a_0) {\n if (M < 1) {\n return new Float64Array();\n }\n if (M === 1) {\n return new Float64Array([1]);\n }\n\n const a_1 = 1 - a_0;\n const factor = 2 * Math.PI / (M - 1);\n\n const cos_vals = new Float64Array(M);\n for (let i = 0; i < M; ++i) {\n cos_vals[i] = a_0 - a_1 * Math.cos(i * factor);\n }\n return cos_vals;\n}\n\n/**\n * Generates a Hanning window of length M.\n * See https://numpy.org/doc/stable/reference/generated/numpy.hanning.html for more information.\n *\n * @param {number} M The length of the Hanning window to generate.\n * @returns {Float64Array} The generated Hanning window.\n */\nexport function hanning(M) {\n return generalized_cosine_window(M, 0.5);\n}\n\n\n/**\n * Generates a Hamming window of length M.\n * See https://numpy.org/doc/stable/reference/generated/numpy.hamming.html for more information.\n *\n * @param {number} M The length of the Hamming window to generate.\n * @returns {Float64Array} The generated Hamming window.\n */\nexport function hamming(M) {\n return generalized_cosine_window(M, 0.54);\n}\n\n\nconst HERTZ_TO_MEL_MAPPING = {\n \"htk\": (/** @type {number} */ freq) => 2595.0 * Math.log10(1.0 + (freq / 700.0)),\n \"kaldi\": (/** @type {number} */ freq) => 1127.0 * Math.log(1.0 + (freq / 700.0)),\n \"slaney\": (/** @type {number} */ freq, min_log_hertz = 1000.0, min_log_mel = 15.0, logstep = 27.0 / Math.log(6.4)) =>\n freq >= min_log_hertz\n ? min_log_mel + Math.log(freq / min_log_hertz) * logstep\n : 3.0 * freq / 200.0,\n}\n\n/**\n * @template {Float32Array|Float64Array|number} T \n * @param {T} freq \n * @param {string} [mel_scale]\n * @returns {T}\n */\nfunction hertz_to_mel(freq, mel_scale = \"htk\") {\n const fn = HERTZ_TO_MEL_MAPPING[mel_scale];\n if (!fn) {\n throw new Error('mel_scale should be one of \"htk\", \"slaney\" or \"kaldi\".');\n }\n\n return typeof freq === 'number' ? fn(freq) : freq.map(x => fn(x));\n}\n\nconst MEL_TO_HERTZ_MAPPING = {\n \"htk\": (/** @type {number} */ mels) => 700.0 * (10.0 ** (mels / 2595.0) - 1.0),\n \"kaldi\": (/** @type {number} */ mels) => 700.0 * (Math.exp(mels / 1127.0) - 1.0),\n \"slaney\": (/** @type {number} */ mels, min_log_hertz = 1000.0, min_log_mel = 15.0, logstep = Math.log(6.4) / 27.0) => mels >= min_log_mel\n ? min_log_hertz * Math.exp(logstep * (mels - min_log_mel))\n : 200.0 * mels / 3.0,\n}\n\n/**\n * @template {Float32Array|Float64Array|number} T \n * @param {T} mels \n * @param {string} [mel_scale]\n * @returns {T}\n */\nfunction mel_to_hertz(mels, mel_scale = \"htk\") {\n const fn = MEL_TO_HERTZ_MAPPING[mel_scale];\n if (!fn) {\n throw new Error('mel_scale should be one of \"htk\", \"slaney\" or \"kaldi\".');\n }\n\n return typeof mels === 'number' ? fn(mels) : mels.map(x => fn(x));\n}\n\n/**\n* Creates a triangular filter bank.\n*\n* Adapted from torchaudio and librosa.\n*\n* @param {Float64Array} fft_freqs Discrete frequencies of the FFT bins in Hz, of shape `(num_frequency_bins,)`.\n* @param {Float64Array} filter_freqs Center frequencies of the triangular filters to create, in Hz, of shape `(num_mel_filters,)`.\n* @returns {number[][]} of shape `(num_frequency_bins, num_mel_filters)`.\n*/\nfunction _create_triangular_filter_bank(fft_freqs, filter_freqs) {\n const filter_diff = Float64Array.from(\n { length: filter_freqs.length - 1 },\n (_, i) => filter_freqs[i + 1] - filter_freqs[i]\n );\n\n const slopes = Array.from({\n length: fft_freqs.length\n }, () => new Array(filter_freqs.length));\n\n for (let j = 0; j < fft_freqs.length; ++j) {\n const slope = slopes[j];\n for (let i = 0; i < filter_freqs.length; ++i) {\n slope[i] = filter_freqs[i] - fft_freqs[j];\n }\n }\n\n const numFreqs = filter_freqs.length - 2;\n const ret = Array.from({ length: numFreqs }, () => new Array(fft_freqs.length));\n\n for (let j = 0; j < fft_freqs.length; ++j) { // 201\n const slope = slopes[j];\n for (let i = 0; i < numFreqs; ++i) { // 80\n const down = -slope[i] / filter_diff[i];\n const up = slope[i + 2] / filter_diff[i + 1];\n ret[i][j] = Math.max(0, Math.min(down, up));\n }\n }\n return ret;\n}\n\n/**\n * Return evenly spaced numbers over a specified interval.\n * @param {number} start The starting value of the sequence.\n * @param {number} end The end value of the sequence.\n * @param {number} num Number of samples to generate.\n * @returns `num` evenly spaced samples, calculated over the interval `[start, stop]`.\n */\nfunction linspace(start, end, num) {\n const step = (end - start) / (num - 1);\n return Float64Array.from({ length: num }, (_, i) => start + step * i);\n}\n\n/**\n * Creates a frequency bin conversion matrix used to obtain a mel spectrogram. This is called a *mel filter bank*, and\n * various implementation exist, which differ in the number of filters, the shape of the filters, the way the filters\n * are spaced, the bandwidth of the filters, and the manner in which the spectrum is warped. The goal of these\n * features is to approximate the non-linear human perception of the variation in pitch with respect to the frequency.\n * @param {number} num_frequency_bins Number of frequencies used to compute the spectrogram (should be the same as in `stft`).\n * @param {number} num_mel_filters Number of mel filters to generate.\n * @param {number} min_frequency Lowest frequency of interest in Hz.\n * @param {number} max_frequency Highest frequency of interest in Hz. This should not exceed `sampling_rate / 2`.\n * @param {number} sampling_rate Sample rate of the audio waveform.\n * @param {string} [norm] If `\"slaney\"`, divide the triangular mel weights by the width of the mel band (area normalization).\n * @param {string} [mel_scale] The mel frequency scale to use, `\"htk\"` or `\"slaney\"`.\n * @param {boolean} [triangularize_in_mel_space] If this option is enabled, the triangular filter is applied in mel space rather than frequency space.\n * This should be set to `true` in order to get the same results as `torchaudio` when computing mel filters.\n * @returns {number[][]} Triangular filter bank matrix, which is a 2D array of shape (`num_frequency_bins`, `num_mel_filters`).\n * This is a projection matrix to go from a spectrogram to a mel spectrogram.\n */\nexport function mel_filter_bank(\n num_frequency_bins,\n num_mel_filters,\n min_frequency,\n max_frequency,\n sampling_rate,\n norm = null,\n mel_scale = \"htk\",\n triangularize_in_mel_space = false,\n) {\n if (norm !== null && norm !== \"slaney\") {\n throw new Error('norm must be one of null or \"slaney\"');\n }\n\n const mel_min = hertz_to_mel(min_frequency, mel_scale);\n const mel_max = hertz_to_mel(max_frequency, mel_scale);\n const mel_freqs = linspace(mel_min, mel_max, num_mel_filters + 2);\n\n let filter_freqs = mel_to_hertz(mel_freqs, mel_scale);\n let fft_freqs; // frequencies of FFT bins in Hz\n\n if (triangularize_in_mel_space) {\n const fft_bin_width = sampling_rate / (num_frequency_bins * 2);\n fft_freqs = hertz_to_mel(Float64Array.from({ length: num_frequency_bins }, (_, i) => i * fft_bin_width), mel_scale);\n filter_freqs = mel_freqs;\n } else {\n fft_freqs = linspace(0, Math.floor(sampling_rate / 2), num_frequency_bins);\n }\n\n const mel_filters = _create_triangular_filter_bank(fft_freqs, filter_freqs);\n\n if (norm !== null && norm === \"slaney\") {\n // Slaney-style mel is scaled to be approx constant energy per channel\n for (let i = 0; i < num_mel_filters; ++i) {\n const filter = mel_filters[i];\n const enorm = 2.0 / (filter_freqs[i + 2] - filter_freqs[i]);\n for (let j = 0; j < num_frequency_bins; ++j) {\n // Apply this enorm to all frequency bins\n filter[j] *= enorm;\n }\n }\n }\n\n // TODO warn if there is a zero row\n\n return mel_filters;\n\n}\n\n/**\n * @template {Float32Array|Float64Array} T\n * Pads an array with a reflected version of itself on both ends.\n * @param {T} array The array to pad.\n * @param {number} left The amount of padding to add to the left.\n * @param {number} right The amount of padding to add to the right.\n * @returns {T} The padded array.\n */\nfunction padReflect(array, left, right) {\n // @ts-ignore\n const padded = new array.constructor(array.length + left + right);\n const w = array.length - 1;\n\n for (let i = 0; i < array.length; ++i) {\n padded[left + i] = array[i];\n }\n\n for (let i = 1; i <= left; ++i) {\n padded[left - i] = array[calculateReflectOffset(i, w)];\n }\n\n for (let i = 1; i <= right; ++i) {\n padded[w + left + i] = array[calculateReflectOffset(w - i, w)];\n }\n\n return padded;\n}\n\n/**\n * Helper function to compute `amplitude_to_db` and `power_to_db`.\n * @template {Float32Array|Float64Array} T\n * @param {T} spectrogram \n * @param {number} factor \n * @param {number} reference \n * @param {number} min_value \n * @param {number} db_range \n * @returns {T}\n */\nfunction _db_conversion_helper(spectrogram, factor, reference, min_value, db_range) {\n if (reference <= 0) {\n throw new Error('reference must be greater than zero');\n }\n\n if (min_value <= 0) {\n throw new Error('min_value must be greater than zero');\n }\n\n reference = Math.max(min_value, reference);\n\n const logReference = Math.log10(reference);\n for (let i = 0; i < spectrogram.length; ++i) {\n spectrogram[i] = factor * Math.log10(Math.max(min_value, spectrogram[i]) - logReference)\n }\n\n if (db_range !== null) {\n if (db_range <= 0) {\n throw new Error('db_range must be greater than zero');\n }\n const maxValue = max(spectrogram)[0] - db_range;\n for (let i = 0; i < spectrogram.length; ++i) {\n spectrogram[i] = Math.max(spectrogram[i], maxValue);\n }\n }\n\n return spectrogram;\n}\n\n/**\n * Converts an amplitude spectrogram to the decibel scale. This computes `20 * log10(spectrogram / reference)`,\n * using basic logarithm properties for numerical stability. NOTE: Operates in-place.\n * \n * The motivation behind applying the log function on the (mel) spectrogram is that humans do not hear loudness on a\n * linear scale. Generally to double the perceived volume of a sound we need to put 8 times as much energy into it.\n * This means that large variations in energy may not sound all that different if the sound is loud to begin with.\n * This compression operation makes the (mel) spectrogram features match more closely what humans actually hear.\n * \n * @template {Float32Array|Float64Array} T\n * @param {T} spectrogram The input amplitude (mel) spectrogram.\n * @param {number} [reference=1.0] Sets the input spectrogram value that corresponds to 0 dB.\n * For example, use `np.max(spectrogram)` to set the loudest part to 0 dB. Must be greater than zero.\n * @param {number} [min_value=1e-5] The spectrogram will be clipped to this minimum value before conversion to decibels,\n * to avoid taking `log(0)`. The default of `1e-5` corresponds to a minimum of -100 dB. Must be greater than zero.\n * @param {number} [db_range=null] Sets the maximum dynamic range in decibels. For example, if `db_range = 80`, the\n * difference between the peak value and the smallest value will never be more than 80 dB. Must be greater than zero.\n * @returns {T} The modified spectrogram in decibels.\n */\nfunction amplitude_to_db(spectrogram, reference = 1.0, min_value = 1e-5, db_range = null) {\n return _db_conversion_helper(spectrogram, 20.0, reference, min_value, db_range);\n}\n\n/**\n * Converts a power spectrogram to the decibel scale. This computes `10 * log10(spectrogram / reference)`,\n * using basic logarithm properties for numerical stability. NOTE: Operates in-place.\n * \n * The motivation behind applying the log function on the (mel) spectrogram is that humans do not hear loudness on a\n * linear scale. Generally to double the perceived volume of a sound we need to put 8 times as much energy into it.\n * This means that large variations in energy may not sound all that different if the sound is loud to begin with.\n * This compression operation makes the (mel) spectrogram features match more closely what humans actually hear.\n * \n * Based on the implementation of `librosa.power_to_db`.\n * \n * @template {Float32Array|Float64Array} T\n * @param {T} spectrogram The input power (mel) spectrogram. Note that a power spectrogram has the amplitudes squared!\n * @param {number} [reference=1.0] Sets the input spectrogram value that corresponds to 0 dB.\n * For example, use `np.max(spectrogram)` to set the loudest part to 0 dB. Must be greater than zero.\n * @param {number} [min_value=1e-10] The spectrogram will be clipped to this minimum value before conversion to decibels,\n * to avoid taking `log(0)`. The default of `1e-10` corresponds to a minimum of -100 dB. Must be greater than zero.\n * @param {number} [db_range=null] Sets the maximum dynamic range in decibels. For example, if `db_range = 80`, the\n * difference between the peak value and the smallest value will never be more than 80 dB. Must be greater than zero.\n * @returns {T} The modified spectrogram in decibels.\n */\nfunction power_to_db(spectrogram, reference = 1.0, min_value = 1e-10, db_range = null) {\n return _db_conversion_helper(spectrogram, 10.0, reference, min_value, db_range);\n}\n\n/**\n * Calculates a spectrogram over one waveform using the Short-Time Fourier Transform.\n * \n * This function can create the following kinds of spectrograms:\n * - amplitude spectrogram (`power = 1.0`)\n * - power spectrogram (`power = 2.0`)\n * - complex-valued spectrogram (`power = None`)\n * - log spectrogram (use `log_mel` argument)\n * - mel spectrogram (provide `mel_filters`)\n * - log-mel spectrogram (provide `mel_filters` and `log_mel`)\n *\n * In this implementation, the window is assumed to be zero-padded to have the same size as the analysis frame.\n * A padded window can be obtained from `window_function()`. The FFT input buffer may be larger than the analysis frame, \n * typically the next power of two.\n * \n * @param {Float32Array|Float64Array} waveform The input waveform of shape `(length,)`. This must be a single real-valued, mono waveform.\n * @param {Float32Array|Float64Array} window The windowing function to apply of shape `(frame_length,)`, including zero-padding if necessary. The actual window length may be\n * shorter than `frame_length`, but we're assuming the array has already been zero-padded.\n * @param {number} frame_length The length of the analysis frames in samples (a.k.a., `fft_length`).\n * @param {number} hop_length The stride between successive analysis frames in samples.\n * @param {Object} options\n * @param {number} [options.fft_length=null] The size of the FFT buffer in samples. This determines how many frequency bins the spectrogram will have.\n * For optimal speed, this should be a power of two. If `null`, uses `frame_length`.\n * @param {number} [options.power=1.0] If 1.0, returns the amplitude spectrogram. If 2.0, returns the power spectrogram. If `null`, returns complex numbers.\n * @param {boolean} [options.center=true] Whether to pad the waveform so that frame `t` is centered around time `t * hop_length`. If `false`, frame\n * `t` will start at time `t * hop_length`.\n * @param {string} [options.pad_mode=\"reflect\"] Padding mode used when `center` is `true`. Possible values are: `\"constant\"` (pad with zeros),\n * `\"edge\"` (pad with edge values), `\"reflect\"` (pads with mirrored values).\n * @param {boolean} [options.onesided=true] If `true`, only computes the positive frequencies and returns a spectrogram containing `fft_length // 2 + 1`\n * frequency bins. If `false`, also computes the negative frequencies and returns `fft_length` frequency bins.\n * @param {number} [options.preemphasis=null] Coefficient for a low-pass filter that applies pre-emphasis before the DFT.\n * @param {number[][]} [options.mel_filters=null] The mel filter bank of shape `(num_freq_bins, num_mel_filters)`.\n * If supplied, applies this filter bank to create a mel spectrogram.\n * @param {number} [options.mel_floor=1e-10] Minimum value of mel frequency banks.\n * @param {string} [options.log_mel=null] How to convert the spectrogram to log scale. Possible options are:\n * `null` (don't convert), `\"log\"` (take the natural logarithm) `\"log10\"` (take the base-10 logarithm), `\"dB\"` (convert to decibels).\n * Can only be used when `power` is not `null`.\n * @param {number} [options.reference=1.0] Sets the input spectrogram value that corresponds to 0 dB. For example, use `max(spectrogram)[0]` to set\n * the loudest part to 0 dB. Must be greater than zero.\n * @param {number} [options.min_value=1e-10] The spectrogram will be clipped to this minimum value before conversion to decibels, to avoid taking `log(0)`.\n * For a power spectrogram, the default of `1e-10` corresponds to a minimum of -100 dB. For an amplitude spectrogram, the value `1e-5` corresponds to -100 dB.\n * Must be greater than zero.\n * @param {number} [options.db_range=null] Sets the maximum dynamic range in decibels. For example, if `db_range = 80`, the difference between the\n * peak value and the smallest value will never be more than 80 dB. Must be greater than zero.\n * @param {boolean} [options.remove_dc_offset=null] Subtract mean from waveform on each frame, applied before pre-emphasis. This should be set to `true` in\n * order to get the same results as `torchaudio.compliance.kaldi.fbank` when computing mel filters.\n * @param {number} [options.max_num_frames=null] If provided, limits the number of frames to compute to this value.\n * @param {number} [options.min_num_frames=null] If provided, ensures the number of frames to compute is at least this value.\n * @param {boolean} [options.do_pad=true] If `true`, pads the output spectrogram to have `max_num_frames` frames.\n * @param {boolean} [options.transpose=false] If `true`, the returned spectrogram will have shape `(num_frames, num_frequency_bins/num_mel_filters)`. If `false`, the returned spectrogram will have shape `(num_frequency_bins/num_mel_filters, num_frames)`.\n * @returns {Promise<Tensor>} Spectrogram of shape `(num_frequency_bins, length)` (regular spectrogram) or shape `(num_mel_filters, length)` (mel spectrogram).\n */\nexport async function spectrogram(\n waveform,\n window,\n frame_length,\n hop_length,\n {\n fft_length = null,\n power = 1.0,\n center = true,\n pad_mode = \"reflect\",\n onesided = true,\n preemphasis = null,\n mel_filters = null,\n mel_floor = 1e-10,\n log_mel = null,\n reference = 1.0,\n min_value = 1e-10,\n db_range = null,\n remove_dc_offset = null,\n\n // Custom parameters for efficiency reasons\n min_num_frames = null,\n max_num_frames = null,\n do_pad = true,\n transpose = false,\n } = {}\n) {\n const window_length = window.length;\n if (fft_length === null) {\n fft_length = frame_length;\n }\n if (frame_length > fft_length) {\n throw Error(`frame_length (${frame_length}) may not be larger than fft_length (${fft_length})`)\n }\n\n if (window_length !== frame_length) {\n throw new Error(`Length of the window (${window_length}) must equal frame_length (${frame_length})`);\n }\n\n if (hop_length <= 0) {\n throw new Error(\"hop_length must be greater than zero\");\n }\n\n if (power === null && mel_filters !== null) {\n throw new Error(\n \"You have provided `mel_filters` but `power` is `None`. Mel spectrogram computation is not yet supported for complex-valued spectrogram. \" +\n \"Specify `power` to fix this issue.\"\n );\n }\n\n if (center) {\n if (pad_mode !== 'reflect') {\n throw new Error(`pad_mode=\"${pad_mode}\" not implemented yet.`)\n }\n const half_window = Math.floor((fft_length - 1) / 2) + 1;\n waveform = padReflect(waveform, half_window, half_window);\n }\n\n // split waveform into frames of frame_length size\n let num_frames = Math.floor(1 + Math.floor((waveform.length - frame_length) / hop_length))\n if (min_num_frames !== null && num_frames < min_num_frames) {\n num_frames = min_num_frames\n }\n const num_frequency_bins = onesided ? Math.floor(fft_length / 2) + 1 : fft_length\n\n let d1 = num_frames;\n let d1Max = num_frames;\n\n // If maximum number of frames is provided, we must either pad or truncate\n if (max_num_frames !== null) {\n if (max_num_frames > num_frames) { // input is too short, so we pad\n if (do_pad) {\n d1Max = max_num_frames;\n }\n } else { // input is too long, so we truncate\n d1Max = d1 = max_num_frames;\n }\n }\n\n // Preallocate arrays to store output.\n const fft = new FFT(fft_length);\n const inputBuffer = new Float64Array(fft_length);\n const outputBuffer = new Float64Array(fft.outputBufferSize);\n const transposedMagnitudeData = new Float32Array(num_frequency_bins * d1Max);\n\n for (let i = 0; i < d1; ++i) {\n // Populate buffer with waveform data\n const offset = i * hop_length;\n const buffer_size = Math.min(waveform.length - offset, frame_length);\n if (buffer_size !== frame_length) {\n // The full buffer is not needed, so we need to reset it (avoid overflow from previous iterations)\n // NOTE: We don't need to reset the buffer if it's full since we overwrite the first\n // `frame_length` values and the rest (`fft_length - frame_length`) remains zero.\n inputBuffer.fill(0, 0, frame_length);\n }\n\n for (let j = 0; j < buffer_size; ++j) {\n inputBuffer[j] = waveform[offset + j];\n }\n\n if (remove_dc_offset) {\n let sum = 0;\n for (let j = 0; j < buffer_size; ++j) {\n sum += inputBuffer[j];\n }\n const mean = sum / buffer_size;\n for (let j = 0; j < buffer_size; ++j) {\n inputBuffer[j] -= mean;\n }\n }\n\n if (preemphasis !== null) {\n // Done in reverse to avoid copies and distructive modification\n for (let j = buffer_size - 1; j >= 1; --j) {\n inputBuffer[j] -= preemphasis * inputBuffer[j - 1];\n }\n inputBuffer[0] *= 1 - preemphasis;\n }\n\n // Apply window function\n for (let j = 0; j < window.length; ++j) {\n inputBuffer[j] *= window[j];\n }\n\n fft.realTransform(outputBuffer, inputBuffer);\n\n // compute magnitudes\n for (let j = 0; j < num_frequency_bins; ++j) {\n const j2 = j << 1;\n\n // NOTE: We transpose the data here to avoid doing it later\n transposedMagnitudeData[j * d1Max + i] = outputBuffer[j2] ** 2 + outputBuffer[j2 + 1] ** 2;\n }\n }\n\n if (power !== null && power !== 2) {\n // slight optimization to not sqrt\n const pow = 2 / power; // we use 2 since we already squared\n for (let i = 0; i < transposedMagnitudeData.length; ++i) {\n transposedMagnitudeData[i] **= pow;\n }\n }\n\n // TODO: What if `mel_filters` is null?\n const num_mel_filters = mel_filters.length;\n\n // Perform matrix muliplication:\n // mel_spec = mel_filters @ magnitudes.T\n // - mel_filters.shape=(80, 201)\n // - magnitudes.shape=(3000, 201) => magnitudes.T.shape=(201, 3000)\n // - mel_spec.shape=(80, 3000)\n let mel_spec = await matmul(\n // TODO: Make `mel_filters` a Tensor during initialization\n new Tensor('float32', mel_filters.flat(), [num_mel_filters, num_frequency_bins]),\n new Tensor('float32', transposedMagnitudeData, [num_frequency_bins, d1Max]),\n );\n if (transpose) {\n mel_spec = mel_spec.transpose(1, 0);\n }\n\n const mel_spec_data = /** @type {Float32Array} */(mel_spec.data);\n for (let i = 0; i < mel_spec_data.length; ++i) {\n mel_spec_data[i] = Math.max(mel_floor, mel_spec_data[i]);\n }\n\n if (power !== null && log_mel !== null) {\n const o = Math.min(mel_spec_data.length, d1 * num_mel_filters);\n // NOTE: operates in-place\n switch (log_mel) {\n case 'log':\n for (let i = 0; i < o; ++i) {\n mel_spec_data[i] = Math.log(mel_spec_data[i]);\n }\n break;\n case 'log10':\n for (let i = 0; i < o; ++i) {\n mel_spec_data[i] = Math.log10(mel_spec_data[i]);\n }\n break;\n case 'dB':\n if (power === 1.0) {\n amplitude_to_db(mel_spec_data, reference, min_value, db_range);\n } else if (power === 2.0) {\n power_to_db(mel_spec_data, reference, min_value, db_range);\n } else {\n throw new Error(`Cannot use log_mel option '${log_mel}' with power ${power}`)\n }\n break;\n default:\n throw new Error(`log_mel must be one of null, 'log', 'log10' or 'dB'. Got '${log_mel}'`);\n }\n }\n\n return mel_spec;\n}\n\n/**\n * Returns an array containing the specified window.\n * @param {number} window_length The length of the window in samples.\n * @param {string} name The name of the window function.\n * @param {Object} options Additional options.\n * @param {boolean} [options.periodic=true] Whether the window is periodic or symmetric.\n * @param {number} [options.frame_length=null] The length of the analysis frames in samples.\n * Provide a value for `frame_length` if the window is smaller than the frame length, so that it will be zero-padded.\n * @param {boolean} [options.center=true] Whether to center the window inside the FFT buffer. Only used when `frame_length` is provided.\n * @returns {Float64Array} The window of shape `(window_length,)` or `(frame_length,)`.\n */\nexport function window_function(window_length, name, {\n periodic = true,\n frame_length = null,\n center = true,\n} = {}) {\n const length = periodic ? window_length + 1 : window_length;\n let window;\n switch (name) {\n case 'boxcar':\n window = new Float64Array(length).fill(1.0);\n break;\n case 'hann':\n case 'hann_window':\n window = hanning(length);\n break;\n case 'hamming':\n window = hamming(length);\n break;\n case 'povey':\n window = hanning(length).map(x => Math.pow(x, 0.85));\n break;\n default:\n throw new Error(`Unknown window type ${name}.`);\n }\n if (periodic) {\n window = window.subarray(0, window_length);\n }\n if (frame_length === null) {\n return window;\n }\n if (window_length > frame_length) {\n throw new Error(`Length of the window (${window_length}) may not be larger than frame_length (${frame_length})`);\n }\n\n return window;\n}\n\n/**\n * Encode audio data to a WAV file.\n * WAV file specs : https://en.wikipedia.org/wiki/WAV#WAV_File_header\n * \n * Adapted from https://www.npmjs.com/package/audiobuffer-to-wav\n * @param {Float32Array} samples The audio samples.\n * @param {number} rate The sample rate.\n * @returns {ArrayBuffer} The WAV audio buffer.\n */\nfunction encodeWAV(samples, rate) {\n let offset = 44;\n const buffer = new ArrayBuffer(offset + samples.length * 4);\n const view = new DataView(buffer);\n\n /* RIFF identifier */\n writeString(view, 0, \"RIFF\");\n /* RIFF chunk length */\n view.setUint32(4, 36 + samples.length * 4, true);\n /* RIFF type */\n writeString(view, 8, \"WAVE\");\n /* format chunk identifier */\n writeString(view, 12, \"fmt \");\n /* format chunk length */\n view.setUint32(16, 16, true);\n /* sample format (raw) */\n view.setUint16(20, 3, true);\n /* channel count */\n view.setUint16(22, 1, true);\n /* sample rate */\n view.setUint32(24, rate, true);\n /* byte rate (sample rate * block align) */\n view.setUint32(28, rate * 4, true);\n /* block align (channel count * bytes per sample) */\n view.setUint16(32, 4, true);\n /* bits per sample */\n view.setUint16(34, 32, true);\n /* data chunk identifier */\n writeString(view, 36, \"data\");\n /* data chunk length */\n view.setUint32(40, samples.length * 4, true);\n\n for (let i = 0; i < samples.length; ++i, offset += 4) {\n view.setFloat32(offset, samples[i], true);\n }\n\n return buffer;\n}\n\nfunction writeString(view, offset, string) {\n for (let i = 0; i < string.length; ++i) {\n view.setUint8(offset + i, string.charCodeAt(i));\n }\n}\n\n\nexport class RawAudio {\n\n /**\n * Create a new `RawAudio` object.\n * @param {Float32Array} audio Audio data\n * @param {number} sampling_rate Sampling rate of the audio data\n */\n constructor(audio, sampling_rate) {\n this.audio = audio\n this.sampling_rate = sampling_rate\n }\n\n /**\n * Convert the audio to a wav file buffer.\n * @returns {ArrayBuffer} The WAV file.\n */\n toWav() {\n return encodeWAV(this.audio, this.sampling_rate)\n }\n\n /**\n * Convert the audio to a blob.\n * @returns {Blob}\n */\n toBlob() {\n const wav = this.toWav();\n const blob = new Blob([wav], { type: 'audio/wav' });\n return blob;\n }\n\n /**\n * Save the audio to a wav file.\n * @param {string} path\n */\n async save(path) {\n let fn;\n\n if (apis.IS_BROWSER_ENV) {\n if (apis.IS_WEBWORKER_ENV) {\n throw new Error('Unable to save a file from a Web Worker.')\n }\n fn = saveBlob;\n } else if (apis.IS_FS_AVAILABLE) {\n fn = async (/** @type {string} */ path, /** @type {Blob} */ blob) => {\n let buffer = await blob.arrayBuffer();\n fs.writeFileSync(path, Buffer.from(buffer));\n }\n } else {\n throw new Error('Unable to save because filesystem is disabled in this environment.')\n }\n\n await fn(path, this.toBlob())\n }\n}\n", "\nexport const GITHUB_ISSUE_URL = 'https://github.com/huggingface/transformers.js/issues/new/choose';\n\nexport const CONFIG_NAME = \"config.json\"\nexport const FEATURE_EXTRACTOR_NAME = \"preprocessor_config.json\"\nexport const IMAGE_PROCESSOR_NAME = FEATURE_EXTRACTOR_NAME\nexport const PROCESSOR_NAME = \"processor_config.json\"\nexport const CHAT_TEMPLATE_NAME = \"chat_template.json\"\nexport const GENERATION_CONFIG_NAME = \"generation_config.json\"\n", "\n/**\n * @file Core utility functions/classes for Transformers.js.\n *\n * These are only used internally, meaning an end-user shouldn't\n * need to access anything here.\n *\n * @module utils/core\n */\n\n/**\n * @typedef {Object} InitiateProgressInfo\n * @property {'initiate'} status\n * @property {string} name The model id or directory path.\n * @property {string} file The name of the file.\n */\n\n/**\n * @typedef {Object} DownloadProgressInfo\n * @property {'download'} status\n * @property {string} name The model id or directory path.\n * @property {string} file The name of the file.\n */\n\n/**\n * @typedef {Object} ProgressStatusInfo\n * @property {'progress'} status\n * @property {string} name The model id or directory path.\n * @property {string} file The name of the file.\n * @property {number} progress A number between 0 and 100.\n * @property {number} loaded The number of bytes loaded.\n * @property {number} total The total number of bytes to be loaded.\n */\n\n/**\n * @typedef {Object} DoneProgressInfo\n * @property {'done'} status\n * @property {string} name The model id or directory path.\n * @property {string} file The name of the file.\n */\n\n/**\n * @typedef {Object} ReadyProgressInfo\n * @property {'ready'} status\n * @property {string} task The loaded task.\n * @property {string} model The loaded model.\n */\n\n/**\n * @typedef {InitiateProgressInfo | DownloadProgressInfo | ProgressStatusInfo | DoneProgressInfo | ReadyProgressInfo} ProgressInfo\n */\n\n/**\n * A callback function that is called with progress information.\n * @callback ProgressCallback\n * @param {ProgressInfo} progressInfo\n * @returns {void}\n */\n\n/**\n * Helper function to dispatch progress callbacks.\n *\n * @param {ProgressCallback | null | undefined} progress_callback The progress callback function to dispatch.\n * @param {ProgressInfo} data The data to pass to the progress callback function.\n * @returns {void}\n * @private\n */\nexport function dispatchCallback(progress_callback, data) {\n if (progress_callback) progress_callback(data);\n}\n\n/**\n * Reverses the keys and values of an object.\n *\n * @param {Object} data The object to reverse.\n * @returns {Object} The reversed object.\n * @see https://ultimatecourses.com/blog/reverse-object-keys-and-values-in-javascript\n */\nexport function reverseDictionary(data) {\n // https://ultimatecourses.com/blog/reverse-object-keys-and-values-in-javascript\n return Object.fromEntries(Object.entries(data).map(([key, value]) => [value, key]));\n}\n\n/**\n * Escapes regular expression special characters from a string by replacing them with their escaped counterparts.\n *\n * @param {string} string The string to escape.\n * @returns {string} The escaped string.\n */\nexport function escapeRegExp(string) {\n return string.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\$&'); // $& means the whole matched string\n}\n\n/**\n * Check if a value is a typed array.\n * @param {*} val The value to check.\n * @returns {boolean} True if the value is a `TypedArray`, false otherwise.\n *\n * Adapted from https://stackoverflow.com/a/71091338/13989043\n */\nexport function isTypedArray(val) {\n return val?.prototype?.__proto__?.constructor?.name === 'TypedArray';\n}\n\n\n/**\n * Check if a value is an integer.\n * @param {*} x The value to check.\n * @returns {boolean} True if the value is a string, false otherwise.\n */\nexport function isIntegralNumber(x) {\n return Number.isInteger(x) || typeof x === 'bigint'\n}\n\n/**\n * Determine if a provided width or height is nullish.\n * @param {*} x The value to check.\n * @returns {boolean} True if the value is `null`, `undefined` or `-1`, false otherwise.\n */\nexport function isNullishDimension(x) {\n return x === null || x === undefined || x === -1;\n}\n\n/**\n * Calculates the dimensions of a nested array.\n *\n * @param {any[]} arr The nested array to calculate dimensions for.\n * @returns {number[]} An array containing the dimensions of the input array.\n */\nexport function calculateDimensions(arr) {\n const dimensions = [];\n let current = arr;\n while (Array.isArray(current)) {\n dimensions.push(current.length);\n current = current[0];\n }\n return dimensions;\n}\n\n/**\n * Replicate python's .pop() method for objects.\n * @param {Object} obj The object to pop from.\n * @param {string} key The key to pop.\n * @param {*} defaultValue The default value to return if the key does not exist.\n * @returns {*} The value of the popped key.\n * @throws {Error} If the key does not exist and no default value is provided.\n */\nexport function pop(obj, key, defaultValue = undefined) {\n const value = obj[key];\n if (value !== undefined) {\n delete obj[key];\n return value;\n }\n if (defaultValue === undefined) {\n throw Error(`Key ${key} does not exist in object.`)\n }\n return defaultValue;\n}\n\n/**\n * Efficiently merge arrays, creating a new copy.\n * Adapted from https://stackoverflow.com/a/6768642/13989043\n * @param {Array[]} arrs Arrays to merge.\n * @returns {Array} The merged array.\n */\nexport function mergeArrays(...arrs) {\n return Array.prototype.concat.apply([], arrs);\n}\n\n/**\n * Compute the Cartesian product of given arrays\n * @param {...Array} a Arrays to compute the product\n * @returns {Array} Returns the computed Cartesian product as an array\n * @private\n */\nexport function product(...a) {\n // Cartesian product of items\n // Adapted from https://stackoverflow.com/a/43053803\n return a.reduce((a, b) => a.flatMap(d => b.map(e => [d, e])));\n}\n\n/**\n * Calculates the index offset for a given index and window size.\n * @param {number} i The index.\n * @param {number} w The window size.\n * @returns {number} The index offset.\n */\nexport function calculateReflectOffset(i, w) {\n return Math.abs((i + w) % (2 * w) - w);\n}\n\n/**\n * Save blob file on the web.\n * @param {string} path The path to save the blob to\n * @param {Blob} blob The blob to save\n */\nexport function saveBlob(path, blob){\n // Convert the canvas content to a data URL\n const dataURL = URL.createObjectURL(blob);\n\n // Create an anchor element with the data URL as the href attribute\n const downloadLink = document.createElement('a');\n downloadLink.href = dataURL;\n\n // Set the download attribute to specify the desired filename for the downloaded image\n downloadLink.download = path;\n\n // Trigger the download\n downloadLink.click();\n\n // Clean up: remove the anchor element from the DOM\n downloadLink.remove();\n\n // Revoke the Object URL to free up memory\n URL.revokeObjectURL(dataURL);\n}\n\n/**\n *\n * @param {Object} o\n * @param {string[]} props\n * @returns {Object}\n */\nexport function pick(o, props) {\n return Object.assign(\n {},\n ...props.map((prop) => {\n if (o[prop] !== undefined) {\n return { [prop]: o[prop] };\n }\n })\n );\n}\n\n/**\n * Calculate the length of a string, taking multi-byte characters into account.\n * This mimics the behavior of Python's `len` function.\n * @param {string} s The string to calculate the length of.\n * @returns {number} The length of the string.\n */\nexport function len(s) {\n let length = 0;\n for (const c of s) ++length;\n return length;\n}\n\n/**\n * Count the occurrences of a value in an array or string.\n * This mimics the behavior of Python's `count` method.\n * @param {any[]|string} arr The array or string to search.\n * @param {any} value The value to count.\n */\nexport function count(arr, value) {\n let count = 0;\n for (const v of arr) {\n if (v === value) ++count;\n }\n return count;\n}\n", "\n/**\n * @file Custom data structures.\n * \n * These are only used internally, meaning an end-user shouldn't\n * need to access anything here.\n * \n * @module utils/data-structures\n */\n\n\n/**\n * Efficient Heap-based Implementation of a Priority Queue.\n * It uses an array-based binary heap, where the root is at index `0`, and the\n * children of node `i` are located at indices `2i + 1` and `2i + 2`, respectively.\n * \n * Adapted from the following sources:\n * - https://stackoverflow.com/a/42919752/13989043 (original)\n * - https://github.com/belladoreai/llama-tokenizer-js (minor improvements)\n */\nexport class PriorityQueue {\n\n /**\n * Create a new PriorityQueue.\n * @param {function(any, any): boolean} comparator Comparator function to determine priority. Defaults to a MaxHeap.\n */\n constructor(comparator = (a, b) => a > b, maxSize = Infinity) {\n this._heap = [];\n this._comparator = comparator;\n this._maxSize = maxSize;\n }\n\n /**\n * The size of the queue\n */\n get size() {\n return this._heap.length;\n }\n\n /**\n * Check if the queue is empty.\n * @returns {boolean} `true` if the queue is empty, `false` otherwise.\n */\n isEmpty() {\n return this.size === 0;\n }\n\n /**\n * Return the element with the highest priority in the queue.\n * @returns {any} The highest priority element in the queue.\n */\n peek() {\n return this._heap[0];\n }\n\n /**\n * Add one or more elements to the queue.\n * @param {...any} values The values to push into the queue.\n * @returns {number} The new size of the queue.\n */\n push(...values) {\n return this.extend(values);\n }\n\n /**\n * Add multiple elements to the queue.\n * @param {any[]} values The values to push into the queue.\n * @returns {number} The new size of the queue.\n */\n extend(values) {\n for (const value of values) {\n if (this.size < this._maxSize) {\n this._heap.push(value);\n this._siftUp();\n } else {\n // Get index of value with the lowest priority\n const smallest = this._smallest();\n\n // If the new value has higher priority than the smallest value in the heap\n // then replace the smallest value with the new value and update the heap\n if (this._comparator(value, this._heap[smallest])) {\n this._heap[smallest] = value;\n this._siftUpFrom(smallest);\n }\n }\n }\n return this.size;\n }\n\n /**\n * Remove and return the element with the highest priority in the queue.\n * @returns {any} The element with the highest priority in the queue.\n */\n pop() {\n const poppedValue = this.peek();\n const bottom = this.size - 1;\n if (bottom > 0) {\n this._swap(0, bottom);\n }\n this._heap.pop();\n this._siftDown();\n return poppedValue;\n }\n\n /**\n * Replace the element with the highest priority in the queue with a new value.\n * @param {*} value The new value.\n * @returns {*} The replaced value.\n */\n replace(value) {\n const replacedValue = this.peek();\n this._heap[0] = value;\n this._siftDown();\n return replacedValue;\n }\n\n /**\n * Compute the index for the parent of the node at index `i`.\n * @param {number} i The index of the node to get the parent of.\n * @returns {number} The index of the parent node.\n * @private\n */\n _parent(i) {\n return ((i + 1) >>> 1) - 1;\n }\n\n /**\n * Compute the index for the left child of the node at index `i`.\n * @param {number} i The index of the node to get the left child of.\n * @returns {number} The index of the left child.\n * @private\n */\n _left(i) {\n return (i << 1) + 1;\n }\n\n /**\n * Compute the index for the right child of the node at index `i`.\n * @param {number} i The index of the node to get the right child of.\n * @returns {number} The index of the right child.\n * @private\n */\n _right(i) {\n return (i + 1) << 1;\n }\n\n /**\n * Check if the element at index `i` is greater than the element at index `j`.\n * @param {number} i The index of the first element to compare.\n * @param {number} j The index of the second element to compare.\n * @returns {boolean} `true` if the element at index `i` is greater than the element at index `j`, `false` otherwise.\n * @private\n */\n _greater(i, j) {\n return this._comparator(this._heap[i], this._heap[j]);\n }\n\n /**\n * Swap the elements at indices `i` and `j`.\n * @param {number} i The index of the first element to swap.\n * @param {number} j The index of the second element to swap.\n * @private\n */\n _swap(i, j) {\n const temp = this._heap[i];\n this._heap[i] = this._heap[j];\n this._heap[j] = temp;\n }\n\n /**\n * Maintain the heap property by updating positions in the heap,\n * starting at the last element and moving up the heap.\n * @private\n */\n _siftUp() {\n this._siftUpFrom(this.size - 1);\n }\n\n /**\n * Helper function to sift up from a given node.\n * @param {number} node The index of the node to start sifting up from.\n */\n _siftUpFrom(node) {\n while (node > 0 && this._greater(node, this._parent(node))) {\n this._swap(node, this._parent(node));\n node = this._parent(node);\n }\n }\n\n /**\n * Maintain the heap property by updating positions in the heap,\n * starting at the first element and moving down the heap.\n * @private\n */\n _siftDown() {\n let node = 0;\n while (\n (this._left(node) < this.size && this._greater(this._left(node), node)) ||\n (this._right(node) < this.size && this._greater(this._right(node), node))\n ) {\n const maxChild = (this._right(node) < this.size && this._greater(this._right(node), this._left(node)))\n ? this._right(node)\n : this._left(node);\n this._swap(node, maxChild);\n node = maxChild;\n }\n }\n\n /**\n * Get the index of the smallest element in the heap. Since we use an array-based heap,\n * the index can be computed without needing to traverse the heap.\n * @private\n */\n _smallest() {\n return (2 ** (Math.floor(Math.log2(this.size))) - 1);\n }\n}\n\n/**\n * A trie structure to efficiently store and search for strings.\n */\nexport class CharTrie {\n constructor() {\n this.root = CharTrieNode.default();\n }\n\n /**\n * Adds one or more `texts` to the trie.\n * @param {string[]} texts The strings to add to the trie.\n */\n extend(texts) {\n for (const text of texts) {\n this.push(text);\n }\n }\n\n /**\n * Adds text to the trie.\n * @param {string} text The string to add to the trie.\n */\n push(text) {\n let node = this.root;\n for (const ch of text) {\n let child = node.children.get(ch);\n if (child === undefined) {\n child = CharTrieNode.default();\n node.children.set(ch, child);\n }\n node = child;\n }\n node.isLeaf = true;\n }\n\n /**\n * Searches the trie for all strings with a common prefix of `text`.\n * @param {string} text The common prefix to search for.\n * @yields {string} Each string in the trie that has `text` as a prefix.\n */\n *commonPrefixSearch(text) {\n let node = this.root;\n if (node === undefined) return;\n\n let prefix = \"\";\n for (const ch of text) {\n prefix += ch;\n node = node.children.get(ch);\n if (node === undefined) return;\n if (node.isLeaf) {\n yield prefix;\n }\n }\n }\n}\n\n/**\n * Represents a node in a character trie.\n */\nclass CharTrieNode {\n /**\n * Create a new CharTrieNode.\n * @param {boolean} isLeaf Whether the node is a leaf node or not.\n * @param {Map<string, CharTrieNode>} children A map containing the node's children, where the key is a character and the value is a `CharTrieNode`.\n */\n constructor(isLeaf, children) {\n this.isLeaf = isLeaf;\n this.children = children;\n }\n\n /**\n * Returns a new `CharTrieNode` instance with default values.\n * @returns {CharTrieNode} A new `CharTrieNode` instance with `isLeaf` set to `false` and an empty `children` map.\n */\n static default() {\n return new CharTrieNode(false, new Map());\n }\n}\n\n/**\n * A lattice data structure to be used for tokenization.\n */\nexport class TokenLattice {\n /**\n * Creates a new TokenLattice instance.\n *\n * @param {string} sentence The input sentence to be tokenized.\n * @param {number} bosTokenId The beginning-of-sequence token ID.\n * @param {number} eosTokenId The end-of-sequence token ID.\n */\n constructor(sentence, bosTokenId, eosTokenId) {\n this.chars = Array.from(sentence);\n this.len = this.chars.length;\n this.bosTokenId = bosTokenId;\n this.eosTokenId = eosTokenId;\n this.nodes = [];\n this.beginNodes = Array.from({ length: this.len + 1 }, () => []);\n this.endNodes = Array.from({ length: this.len + 1 }, () => []);\n\n const bos = new TokenLatticeNode(this.bosTokenId, 0, 0, 0, 0.0);\n const eos = new TokenLatticeNode(this.eosTokenId, 1, this.len, 0, 0.0);\n this.nodes.push(bos.clone());\n this.nodes.push(eos.clone());\n this.beginNodes[this.len].push(eos);\n this.endNodes[0].push(bos);\n }\n\n /**\n * Inserts a new token node into the token lattice.\n *\n * @param {number} pos The starting position of the token.\n * @param {number} length The length of the token.\n * @param {number} score The score of the token.\n * @param {number} tokenId The token ID of the token.\n */\n insert(pos, length, score, tokenId) {\n const nodeId = this.nodes.length;\n const node = new TokenLatticeNode(tokenId, nodeId, pos, length, score);\n this.beginNodes[pos].push(node);\n this.endNodes[pos + length].push(node);\n this.nodes.push(node);\n }\n\n /**\n * Implements the Viterbi algorithm to compute the most likely sequence of tokens.\n *\n * @returns {TokenLatticeNode[]} The most likely sequence of tokens.\n */\n viterbi() {\n const len = this.len;\n let pos = 0;\n while (pos <= len) {\n if (this.beginNodes[pos].length == 0) {\n return [];\n }\n for (let rnode of this.beginNodes[pos]) {\n rnode.prev = null;\n let bestScore = 0.0;\n let bestNode = null;\n for (let lnode of this.endNodes[pos]) {\n const score = lnode.backtraceScore + rnode.score;\n if (bestNode === null || score > bestScore) {\n bestNode = lnode.clone();\n bestScore = score;\n }\n }\n\n if (bestNode !== null) {\n rnode.prev = bestNode;\n rnode.backtraceScore = bestScore;\n } else {\n return [];\n }\n }\n ++pos;\n }\n\n const results = [];\n const root = this.beginNodes[len][0];\n const prev = root.prev;\n if (prev === null) {\n return [];\n }\n\n let node = prev.clone();\n while (node.prev !== null) {\n results.push(node.clone());\n const n = node.clone();\n node = n.prev.clone();\n }\n\n results.reverse();\n return results;\n }\n\n /**\n * @param {TokenLatticeNode} node\n * @returns {string} The array of nodes representing the most likely sequence of tokens.\n */\n piece(node) {\n return this.chars.slice(node.pos, node.pos + node.length).join('');\n }\n\n /**\n * @returns {string[]} The most likely sequence of tokens.\n */\n tokens() {\n const nodes = this.viterbi();\n return nodes.map(x => this.piece(x));\n }\n\n /**\n * @returns {number[]} The most likely sequence of token ids.\n */\n tokenIds() {\n const nodes = this.viterbi();\n return nodes.map(x => x.tokenId);\n }\n}\nclass TokenLatticeNode {\n /**\n * Represents a node in a token lattice for a given sentence.\n * @param {number} tokenId The ID of the token associated with this node.\n * @param {number} nodeId The ID of this node.\n * @param {number} pos The starting position of the token in the sentence.\n * @param {number} length The length of the token.\n * @param {number} score The score associated with the token.\n */\n constructor(tokenId, nodeId, pos, length, score) {\n this.tokenId = tokenId;\n this.nodeId = nodeId;\n this.pos = pos;\n this.length = length;\n this.score = score;\n this.prev = null;\n this.backtraceScore = 0.0;\n }\n\n /**\n * Returns a clone of this node.\n * @returns {TokenLatticeNode} A clone of this node.\n */\n clone() {\n const n = new TokenLatticeNode(this.tokenId, this.nodeId, this.pos, this.length, this.score);\n n.prev = this.prev;\n n.backtraceScore = this.backtraceScore;\n return n;\n }\n}\n", "\n/**\n * The list of devices supported by Transformers.js\n */\nexport const DEVICE_TYPES = Object.freeze({\n auto: 'auto', // Auto-detect based on device and environment\n gpu: 'gpu', // Auto-detect GPU\n cpu: 'cpu', // CPU\n wasm: 'wasm', // WebAssembly\n webgpu: 'webgpu', // WebGPU\n cuda: 'cuda', // CUDA\n dml: 'dml', // DirectML\n\n webnn: 'webnn', // WebNN (default)\n 'webnn-npu': 'webnn-npu', // WebNN NPU\n 'webnn-gpu': 'webnn-gpu', // WebNN GPU\n 'webnn-cpu': 'webnn-cpu', // WebNN CPU\n});\n\n/**\n * @typedef {keyof typeof DEVICE_TYPES} DeviceType\n */\n", "/// <reference types=\"@webgpu/types\" />\n\nimport { apis } from \"../env.js\";\n\nimport { DEVICE_TYPES } from \"./devices.js\";\n\n// TODO: Use the adapter from `env.backends.onnx.webgpu.adapter` to check for `shader-f16` support,\n// when available in https://github.com/microsoft/onnxruntime/pull/19940.\n// For more information, see https://github.com/microsoft/onnxruntime/pull/19857#issuecomment-1999984753\n\n/**\n * Checks if WebGPU fp16 support is available in the current environment.\n */\nexport const isWebGpuFp16Supported = (function () {\n /** @type {boolean} */\n let cachedResult;\n\n return async function () {\n if (cachedResult === undefined) {\n if (!apis.IS_WEBGPU_AVAILABLE) {\n cachedResult = false;\n } else {\n try {\n const adapter = await navigator.gpu.requestAdapter();\n cachedResult = adapter.features.has('shader-f16');\n } catch (e) {\n cachedResult = false;\n }\n }\n }\n return cachedResult;\n };\n})();\n\nexport const DATA_TYPES = Object.freeze({\n auto: 'auto', // Auto-detect based on environment\n fp32: 'fp32',\n fp16: 'fp16',\n q8: 'q8',\n int8: 'int8',\n uint8: 'uint8',\n q4: 'q4',\n bnb4: 'bnb4',\n q4f16: 'q4f16', // fp16 model with int4 block weight quantization\n});\n/** @typedef {keyof typeof DATA_TYPES} DataType */\n\nexport const DEFAULT_DEVICE_DTYPE_MAPPING = Object.freeze({\n // NOTE: If not specified, will default to fp32\n [DEVICE_TYPES.wasm]: DATA_TYPES.q8,\n});\n\n/** @type {Record<Exclude<DataType, \"auto\">, string>} */\nexport const DEFAULT_DTYPE_SUFFIX_MAPPING = Object.freeze({\n [DATA_TYPES.fp32]: '',\n [DATA_TYPES.fp16]: '_fp16',\n [DATA_TYPES.int8]: '_int8',\n [DATA_TYPES.uint8]: '_uint8',\n [DATA_TYPES.q8]: '_quantized',\n [DATA_TYPES.q4]: '_q4',\n [DATA_TYPES.q4f16]: '_q4f16',\n [DATA_TYPES.bnb4]: '_bnb4',\n});\n", "\n/**\n * A base class for creating callable objects.\n * See [here](https://stackoverflow.com/q/76073890) for more information.\n * \n * @type {new () => {(...args: any[]): any, _call(...args: any[]): any}}\n */\nexport const Callable = /** @type {any} */ (class {\n /**\n * Creates a new instance of the Callable class.\n */\n constructor() {\n /**\n * Creates a closure that delegates to a private method '_call' with the given arguments.\n * @type {any}\n * @param {...any} args Zero or more arguments to pass to the '_call' method.\n * @returns {*} The result of calling the '_call' method.\n */\n let closure = function (...args) {\n return closure._call(...args)\n }\n return Object.setPrototypeOf(closure, new.target.prototype)\n }\n\n /**\n * This method should be implemented in subclasses to provide the\n * functionality of the callable object.\n *\n * @param {any[]} args\n * @throws {Error} If the subclass does not implement the `_call` method.\n */\n _call(...args) {\n throw Error('Must implement _call method in subclass')\n }\n});\n", "\n/**\n * @file Utility functions to interact with the Hugging Face Hub (https://huggingface.co/models)\n * \n * @module utils/hub\n */\n\nimport fs from 'fs';\nimport path from 'path';\n\nimport { env } from '../env.js';\nimport { dispatchCallback } from './core.js';\n\n/**\n * @typedef {Object} PretrainedOptions Options for loading a pretrained model. \n * @property {import('./core.js').ProgressCallback} [progress_callback=null] If specified, this function will be called during model construction, to provide the user with progress updates.\n * @property {import('../configs.js').PretrainedConfig} [config=null] Configuration for the model to use instead of an automatically loaded configuration. Configuration can be automatically loaded when:\n * - The model is a model provided by the library (loaded with the *model id* string of a pretrained model).\n * - The model is loaded by supplying a local directory as `pretrained_model_name_or_path` and a configuration JSON file named *config.json* is found in the directory.\n * @property {string} [cache_dir=null] Path to a directory in which a downloaded pretrained model configuration should be cached if the standard cache should not be used.\n * @property {boolean} [local_files_only=false] Whether or not to only look at local files (e.g., not try downloading the model).\n * @property {string} [revision='main'] The specific model version to use. It can be a branch name, a tag name, or a commit id,\n * since we use a git-based system for storing models and other artifacts on huggingface.co, so `revision` can be any identifier allowed by git.\n * NOTE: This setting is ignored for local requests.\n */\n\n/**\n * @typedef {Object} ModelSpecificPretrainedOptions Options for loading a pretrained model.\n * @property {string} [subfolder='onnx'] In case the relevant files are located inside a subfolder of the model repo on huggingface.co,\n * you can specify the folder name here.\n * @property {string} [model_file_name=null] If specified, load the model with this name (excluding the .onnx suffix). Currently only valid for encoder- or decoder-only models.\n * @property {import(\"./devices.js\").DeviceType|Record<string, import(\"./devices.js\").DeviceType>} [device=null] The device to run the model on. If not specified, the device will be chosen from the environment settings.\n * @property {import(\"./dtypes.js\").DataType|Record<string, import(\"./dtypes.js\").DataType>} [dtype=null] The data type to use for the model. If not specified, the data type will be chosen from the environment settings.\n * @property {boolean|Record<string, boolean>} [use_external_data_format=false] Whether to load the model using the external data format (used for models >= 2GB in size).\n * @property {import('onnxruntime-common').InferenceSession.SessionOptions} [session_options] (Optional) User-specified session options passed to the runtime. If not provided, suitable defaults will be chosen.\n */\n\n/**\n * @typedef {PretrainedOptions & ModelSpecificPretrainedOptions} PretrainedModelOptions Options for loading a pretrained model.\n */\n\n/**\n * Mapping from file extensions to MIME types.\n */\nconst CONTENT_TYPE_MAP = {\n 'txt': 'text/plain',\n 'html': 'text/html',\n 'css': 'text/css',\n 'js': 'text/javascript',\n 'json': 'application/json',\n 'png': 'image/png',\n 'jpg': 'image/jpeg',\n 'jpeg': 'image/jpeg',\n 'gif': 'image/gif',\n}\nclass FileResponse {\n\n /**\n * Creates a new `FileResponse` object.\n * @param {string|URL} filePath\n */\n constructor(filePath) {\n this.filePath = filePath;\n this.headers = new Headers();\n\n this.exists = fs.existsSync(filePath);\n if (this.exists) {\n this.status = 200;\n this.statusText = 'OK';\n\n let stats = fs.statSync(filePath);\n this.headers.set('content-length', stats.size.toString());\n\n this.updateContentType();\n\n let self = this;\n this.body = new ReadableStream({\n start(controller) {\n self.arrayBuffer().then(buffer => {\n controller.enqueue(new Uint8Array(buffer));\n controller.close();\n })\n }\n });\n } else {\n this.status = 404;\n this.statusText = 'Not Found';\n this.body = null;\n }\n }\n\n /**\n * Updates the 'content-type' header property of the response based on the extension of\n * the file specified by the filePath property of the current object.\n * @returns {void}\n */\n updateContentType() {\n // Set content-type header based on file extension\n const extension = this.filePath.toString().split('.').pop().toLowerCase();\n this.headers.set('content-type', CONTENT_TYPE_MAP[extension] ?? 'application/octet-stream');\n }\n\n /**\n * Clone the current FileResponse object.\n * @returns {FileResponse} A new FileResponse object with the same properties as the current object.\n */\n clone() {\n let response = new FileResponse(this.filePath);\n response.exists = this.exists;\n response.status = this.status;\n response.statusText = this.statusText;\n response.headers = new Headers(this.headers);\n return response;\n }\n\n /**\n * Reads the contents of the file specified by the filePath property and returns a Promise that\n * resolves with an ArrayBuffer containing the file's contents.\n * @returns {Promise<ArrayBuffer>} A Promise that resolves with an ArrayBuffer containing the file's contents.\n * @throws {Error} If the file cannot be read.\n */\n async arrayBuffer() {\n const data = await fs.promises.readFile(this.filePath);\n return /** @type {ArrayBuffer} */ (data.buffer);\n }\n\n /**\n * Reads the contents of the file specified by the filePath property and returns a Promise that\n * resolves with a Blob containing the file's contents.\n * @returns {Promise<Blob>} A Promise that resolves with a Blob containing the file's contents.\n * @throws {Error} If the file cannot be read.\n */\n async blob() {\n const data = await fs.promises.readFile(this.filePath);\n return new Blob([data], { type: this.headers.get('content-type') });\n }\n\n /**\n * Reads the contents of the file specified by the filePath property and returns a Promise that\n * resolves with a string containing the file's contents.\n * @returns {Promise<string>} A Promise that resolves with a string containing the file's contents.\n * @throws {Error} If the file cannot be read.\n */\n async text() {\n const data = await fs.promises.readFile(this.filePath, 'utf8');\n return data;\n }\n\n /**\n * Reads the contents of the file specified by the filePath property and returns a Promise that\n * resolves with a parsed JavaScript object containing the file's contents.\n * \n * @returns {Promise<Object>} A Promise that resolves with a parsed JavaScript object containing the file's contents.\n * @throws {Error} If the file cannot be read.\n */\n async json() {\n return JSON.parse(await this.text());\n }\n}\n\n/**\n * Determines whether the given string is a valid URL.\n * @param {string|URL} string The string to test for validity as an URL.\n * @param {string[]} [protocols=null] A list of valid protocols. If specified, the protocol must be in this list.\n * @param {string[]} [validHosts=null] A list of valid hostnames. If specified, the URL's hostname must be in this list.\n * @returns {boolean} True if the string is a valid URL, false otherwise.\n */\nfunction isValidUrl(string, protocols = null, validHosts = null) {\n let url;\n try {\n url = new URL(string);\n } catch (_) {\n return false;\n }\n if (protocols && !protocols.includes(url.protocol)) {\n return false;\n }\n if (validHosts && !validHosts.includes(url.hostname)) {\n return false;\n }\n return true;\n}\n\n/**\n * Helper function to get a file, using either the Fetch API or FileSystem API.\n *\n * @param {URL|string} urlOrPath The URL/path of the file to get.\n * @returns {Promise<FileResponse|Response>} A promise that resolves to a FileResponse object (if the file is retrieved using the FileSystem API), or a Response object (if the file is retrieved using the Fetch API).\n */\nexport async function getFile(urlOrPath) {\n\n if (env.useFS && !isValidUrl(urlOrPath, ['http:', 'https:', 'blob:'])) {\n return new FileResponse(urlOrPath);\n\n } else if (typeof process !== 'undefined' && process?.release?.name === 'node') {\n const IS_CI = !!process.env?.TESTING_REMOTELY;\n const version = env.version;\n\n const headers = new Headers();\n headers.set('User-Agent', `transformers.js/${version}; is_ci/${IS_CI};`);\n\n // Check whether we are making a request to the Hugging Face Hub.\n const isHFURL = isValidUrl(urlOrPath, ['http:', 'https:'], ['huggingface.co', 'hf.co']);\n if (isHFURL) {\n // If an access token is present in the environment variables,\n // we add it to the request headers.\n // NOTE: We keep `HF_ACCESS_TOKEN` for backwards compatibility (as a fallback).\n const token = process.env?.HF_TOKEN ?? process.env?.HF_ACCESS_TOKEN;\n if (token) {\n headers.set('Authorization', `Bearer ${token}`);\n }\n }\n return fetch(urlOrPath, { headers });\n } else {\n // Running in a browser-environment, so we use default headers\n // NOTE: We do not allow passing authorization headers in the browser,\n // since this would require exposing the token to the client.\n return fetch(urlOrPath);\n }\n}\n\nconst ERROR_MAPPING = {\n // 4xx errors (https://developer.mozilla.org/en-US/docs/Web/HTTP/Status#client_error_responses)\n 400: 'Bad request error occurred while trying to load file',\n 401: 'Unauthorized access to file',\n 403: 'Forbidden access to file',\n 404: 'Could not locate file',\n 408: 'Request timeout error occurred while trying to load file',\n\n // 5xx errors (https://developer.mozilla.org/en-US/docs/Web/HTTP/Status#server_error_responses)\n 500: 'Internal server error error occurred while trying to load file',\n 502: 'Bad gateway error occurred while trying to load file',\n 503: 'Service unavailable error occurred while trying to load file',\n 504: 'Gateway timeout error occurred while trying to load file',\n}\n/**\n * Helper method to handle fatal errors that occur while trying to load a file from the Hugging Face Hub.\n * @param {number} status The HTTP status code of the error.\n * @param {string} remoteURL The URL of the file that could not be loaded.\n * @param {boolean} fatal Whether to raise an error if the file could not be loaded.\n * @returns {null} Returns `null` if `fatal = true`.\n * @throws {Error} If `fatal = false`.\n */\nfunction handleError(status, remoteURL, fatal) {\n if (!fatal) {\n // File was not loaded correctly, but it is optional.\n // TODO in future, cache the response?\n return null;\n }\n\n const message = ERROR_MAPPING[status] ?? `Error (${status}) occurred while trying to load file`;\n throw Error(`${message}: \"${remoteURL}\".`);\n}\n\nclass FileCache {\n /**\n * Instantiate a `FileCache` object.\n * @param {string} path \n */\n constructor(path) {\n this.path = path;\n }\n\n /**\n * Checks whether the given request is in the cache.\n * @param {string} request \n * @returns {Promise<FileResponse | undefined>}\n */\n async match(request) {\n\n let filePath = path.join(this.path, request);\n let file = new FileResponse(filePath);\n\n if (file.exists) {\n return file;\n } else {\n return undefined;\n }\n }\n\n /**\n * Adds the given response to the cache.\n * @param {string} request \n * @param {Response|FileResponse} response \n * @returns {Promise<void>}\n */\n async put(request, response) {\n const buffer = Buffer.from(await response.arrayBuffer());\n\n let outputPath = path.join(this.path, request);\n\n try {\n await fs.promises.mkdir(path.dirname(outputPath), { recursive: true });\n await fs.promises.writeFile(outputPath, buffer);\n\n } catch (err) {\n console.warn('An error occurred while writing the file to cache:', err)\n }\n }\n\n // TODO add the rest?\n // addAll(requests: RequestInfo[]): Promise<void>;\n // delete(request: RequestInfo | URL, options?: CacheQueryOptions): Promise<boolean>;\n // keys(request?: RequestInfo | URL, options?: CacheQueryOptions): Promise<ReadonlyArray<Request>>;\n // match(request: RequestInfo | URL, options?: CacheQueryOptions): Promise<Response | undefined>;\n // matchAll(request?: RequestInfo | URL, options?: CacheQueryOptions): Promise<ReadonlyArray<Response>>;\n}\n\n/**\n * \n * @param {FileCache|Cache} cache The cache to search\n * @param {string[]} names The names of the item to search for\n * @returns {Promise<FileResponse|Response|undefined>} The item from the cache, or undefined if not found.\n */\nasync function tryCache(cache, ...names) {\n for (let name of names) {\n try {\n let result = await cache.match(name);\n if (result) return result;\n } catch (e) {\n continue;\n }\n }\n return undefined;\n}\n\n/**\n * \n * Retrieves a file from either a remote URL using the Fetch API or from the local file system using the FileSystem API.\n * If the filesystem is available and `env.useCache = true`, the file will be downloaded and cached.\n * \n * @param {string} path_or_repo_id This can be either:\n * - a string, the *model id* of a model repo on huggingface.co.\n * - a path to a *directory* potentially containing the file.\n * @param {string} filename The name of the file to locate in `path_or_repo`.\n * @param {boolean} [fatal=true] Whether to throw an error if the file is not found.\n * @param {PretrainedOptions} [options] An object containing optional parameters.\n * \n * @throws Will throw an error if the file is not found and `fatal` is true.\n * @returns {Promise<Uint8Array>} A Promise that resolves with the file content as a buffer.\n */\nexport async function getModelFile(path_or_repo_id, filename, fatal = true, options = {}) {\n\n if (!env.allowLocalModels) {\n // User has disabled local models, so we just make sure other settings are correct.\n\n if (options.local_files_only) {\n throw Error(\"Invalid configuration detected: local models are disabled (`env.allowLocalModels=false`) but you have requested to only use local models (`local_files_only=true`).\")\n } else if (!env.allowRemoteModels) {\n throw Error(\"Invalid configuration detected: both local and remote models are disabled. Fix by setting `env.allowLocalModels` or `env.allowRemoteModels` to `true`.\")\n }\n }\n\n // Initiate file retrieval\n dispatchCallback(options.progress_callback, {\n status: 'initiate',\n name: path_or_repo_id,\n file: filename\n })\n\n // First, check if the a caching backend is available\n // If no caching mechanism available, will download the file every time\n let cache;\n if (!cache && env.useBrowserCache) {\n if (typeof caches === 'undefined') {\n throw Error('Browser cache is not available in this environment.')\n }\n try {\n // In some cases, the browser cache may be visible, but not accessible due to security restrictions.\n // For example, when running an application in an iframe, if a user attempts to load the page in\n // incognito mode, the following error is thrown: `DOMException: Failed to execute 'open' on 'CacheStorage':\n // An attempt was made to break through the security policy of the user agent.`\n // So, instead of crashing, we just ignore the error and continue without using the cache.\n cache = await caches.open('transformers-cache');\n } catch (e) {\n console.warn('An error occurred while opening the browser cache:', e);\n }\n }\n\n if (!cache && env.useFSCache) {\n // TODO throw error if not available\n\n // If `cache_dir` is not specified, use the default cache directory\n cache = new FileCache(options.cache_dir ?? env.cacheDir);\n }\n\n if (!cache && env.useCustomCache) {\n // Allow the user to specify a custom cache system.\n if (!env.customCache) {\n throw Error('`env.useCustomCache=true`, but `env.customCache` is not defined.')\n }\n\n // Check that the required methods are defined:\n if (!env.customCache.match || !env.customCache.put) {\n throw new Error(\n \"`env.customCache` must be an object which implements the `match` and `put` functions of the Web Cache API. \" +\n \"For more information, see https://developer.mozilla.org/en-US/docs/Web/API/Cache\"\n )\n }\n cache = env.customCache;\n }\n\n const revision = options.revision ?? 'main';\n\n let requestURL = pathJoin(path_or_repo_id, filename);\n let localPath = pathJoin(env.localModelPath, requestURL);\n\n let remoteURL = pathJoin(\n env.remoteHost,\n env.remotePathTemplate\n .replaceAll('{model}', path_or_repo_id)\n .replaceAll('{revision}', encodeURIComponent(revision)),\n filename\n );\n\n // Choose cache key for filesystem cache\n // When using the main revision (default), we use the request URL as the cache key.\n // If a specific revision is requested, we account for this in the cache key.\n let fsCacheKey = revision === 'main' ? requestURL : pathJoin(path_or_repo_id, revision, filename);\n\n /** @type {string} */\n let cacheKey;\n let proposedCacheKey = cache instanceof FileCache ? fsCacheKey : remoteURL;\n\n // Whether to cache the final response in the end.\n let toCacheResponse = false;\n\n /** @type {Response|FileResponse|undefined} */\n let response;\n\n if (cache) {\n // A caching system is available, so we try to get the file from it.\n // 1. We first try to get from cache using the local path. In some environments (like deno),\n // non-URL cache keys are not allowed. In these cases, `response` will be undefined.\n // 2. If no response is found, we try to get from cache using the remote URL or file system cache.\n response = await tryCache(cache, localPath, proposedCacheKey);\n }\n\n const cacheHit = response !== undefined;\n\n if (response === undefined) {\n // Caching not available, or file is not cached, so we perform the request\n\n if (env.allowLocalModels) {\n // Accessing local models is enabled, so we try to get the file locally.\n // If request is a valid HTTP URL, we skip the local file check. Otherwise, we try to get the file locally.\n const isURL = isValidUrl(requestURL, ['http:', 'https:']);\n if (!isURL) {\n try {\n response = await getFile(localPath);\n cacheKey = localPath; // Update the cache key to be the local path\n } catch (e) {\n // Something went wrong while trying to get the file locally.\n // NOTE: error handling is done in the next step (since `response` will be undefined)\n console.warn(`Unable to load from local path \"${localPath}\": \"${e}\"`);\n }\n } else if (options.local_files_only) {\n throw new Error(`\\`local_files_only=true\\`, but attempted to load a remote file from: ${requestURL}.`);\n } else if (!env.allowRemoteModels) {\n throw new Error(`\\`env.allowRemoteModels=false\\`, but attempted to load a remote file from: ${requestURL}.`);\n }\n }\n\n if (response === undefined || response.status === 404) {\n // File not found locally. This means either:\n // - The user has disabled local file access (`env.allowLocalModels=false`)\n // - the path is a valid HTTP url (`response === undefined`)\n // - the path is not a valid HTTP url and the file is not present on the file system or local server (`response.status === 404`)\n\n if (options.local_files_only || !env.allowRemoteModels) {\n // User requested local files only, but the file is not found locally.\n if (fatal) {\n throw Error(`\\`local_files_only=true\\` or \\`env.allowRemoteModels=false\\` and file was not found locally at \"${localPath}\".`);\n } else {\n // File not found, but this file is optional.\n // TODO in future, cache the response?\n return null;\n }\n }\n\n // File not found locally, so we try to download it from the remote server\n response = await getFile(remoteURL);\n\n if (response.status !== 200) {\n return handleError(response.status, remoteURL, fatal);\n }\n\n // Success! We use the proposed cache key from earlier\n cacheKey = proposedCacheKey;\n }\n\n // Only cache the response if:\n toCacheResponse =\n cache // 1. A caching system is available\n && typeof Response !== 'undefined' // 2. `Response` is defined (i.e., we are in a browser-like environment)\n && response instanceof Response // 3. result is a `Response` object (i.e., not a `FileResponse`)\n && response.status === 200 // 4. request was successful (status code 200)\n }\n\n // Start downloading\n dispatchCallback(options.progress_callback, {\n status: 'download',\n name: path_or_repo_id,\n file: filename\n })\n\n /** @type {Uint8Array} */\n let buffer;\n\n if (!options.progress_callback) {\n // If no progress callback is specified, we can use the `.arrayBuffer()`\n // method to read the response.\n buffer = new Uint8Array(await response.arrayBuffer());\n\n } else if (\n cacheHit // The item is being read from the cache\n &&\n typeof navigator !== 'undefined' && /firefox/i.test(navigator.userAgent) // We are in Firefox\n ) {\n // Due to bug in Firefox, we cannot display progress when loading from cache.\n // Fortunately, since this should be instantaneous, this should not impact users too much.\n buffer = new Uint8Array(await response.arrayBuffer());\n\n // For completeness, we still fire the final progress callback\n dispatchCallback(options.progress_callback, {\n status: 'progress',\n name: path_or_repo_id,\n file: filename,\n progress: 100,\n loaded: buffer.length,\n total: buffer.length,\n })\n } else {\n buffer = await readResponse(response, data => {\n dispatchCallback(options.progress_callback, {\n status: 'progress',\n name: path_or_repo_id,\n file: filename,\n ...data,\n })\n })\n }\n\n if (\n // Only cache web responses\n // i.e., do not cache FileResponses (prevents duplication)\n toCacheResponse && cacheKey\n &&\n // Check again whether request is in cache. If not, we add the response to the cache\n (await cache.match(cacheKey) === undefined)\n ) {\n // NOTE: We use `new Response(buffer, ...)` instead of `response.clone()` to handle LFS files\n await cache.put(cacheKey, new Response(buffer, {\n headers: response.headers\n }))\n .catch(err => {\n // Do not crash if unable to add to cache (e.g., QuotaExceededError).\n // Rather, log a warning and proceed with execution.\n console.warn(`Unable to add response to browser cache: ${err}.`);\n });\n\n }\n\n dispatchCallback(options.progress_callback, {\n status: 'done',\n name: path_or_repo_id,\n file: filename\n });\n\n return buffer;\n}\n\n/**\n * Fetches a JSON file from a given path and file name.\n *\n * @param {string} modelPath The path to the directory containing the file.\n * @param {string} fileName The name of the file to fetch.\n * @param {boolean} [fatal=true] Whether to throw an error if the file is not found.\n * @param {PretrainedOptions} [options] An object containing optional parameters.\n * @returns {Promise<Object>} The JSON data parsed into a JavaScript object.\n * @throws Will throw an error if the file is not found and `fatal` is true.\n */\nexport async function getModelJSON(modelPath, fileName, fatal = true, options = {}) {\n let buffer = await getModelFile(modelPath, fileName, fatal, options);\n if (buffer === null) {\n // Return empty object\n return {}\n }\n\n let decoder = new TextDecoder('utf-8');\n let jsonData = decoder.decode(buffer);\n\n return JSON.parse(jsonData);\n}\n/**\n * Read and track progress when reading a Response object\n *\n * @param {Response|FileResponse} response The Response object to read\n * @param {(data: {progress: number, loaded: number, total: number}) => void} progress_callback The function to call with progress updates\n * @returns {Promise<Uint8Array>} A Promise that resolves with the Uint8Array buffer\n */\nasync function readResponse(response, progress_callback) {\n\n const contentLength = response.headers.get('Content-Length');\n if (contentLength === null) {\n console.warn('Unable to determine content-length from response headers. Will expand buffer when needed.')\n }\n let total = parseInt(contentLength ?? '0');\n let buffer = new Uint8Array(total);\n let loaded = 0;\n\n const reader = response.body.getReader();\n async function read() {\n const { done, value } = await reader.read();\n if (done) return;\n\n let newLoaded = loaded + value.length;\n if (newLoaded > total) {\n total = newLoaded;\n\n // Adding the new data will overflow buffer.\n // In this case, we extend the buffer\n let newBuffer = new Uint8Array(total);\n\n // copy contents\n newBuffer.set(buffer);\n\n buffer = newBuffer;\n }\n buffer.set(value, loaded)\n loaded = newLoaded;\n\n const progress = (loaded / total) * 100;\n\n // Call your function here\n progress_callback({\n progress: progress,\n loaded: loaded,\n total: total,\n })\n\n return read();\n }\n\n // Actually read\n await read();\n\n return buffer;\n}\n\n/**\n * Joins multiple parts of a path into a single path, while handling leading and trailing slashes.\n *\n * @param {...string} parts Multiple parts of a path.\n * @returns {string} A string representing the joined path.\n */\nfunction pathJoin(...parts) {\n // https://stackoverflow.com/a/55142565\n parts = parts.map((part, index) => {\n if (index) {\n part = part.replace(new RegExp('^/'), '');\n }\n if (index !== parts.length - 1) {\n part = part.replace(new RegExp('/$'), '');\n }\n return part;\n })\n return parts.join('/');\n}\n", "\n/**\n * @file Helper module for image processing.\n *\n * These functions and classes are only used internally,\n * meaning an end-user shouldn't need to access anything here.\n *\n * @module utils/image\n */\n\nimport { isNullishDimension, saveBlob } from './core.js';\nimport { getFile } from './hub.js';\nimport { apis } from '../env.js';\nimport { Tensor } from './tensor.js';\n\n// Will be empty (or not used) if running in browser or web-worker\nimport sharp from 'sharp';\n\nlet createCanvasFunction;\nlet ImageDataClass;\nlet loadImageFunction;\nconst IS_BROWSER_OR_WEBWORKER = apis.IS_BROWSER_ENV || apis.IS_WEBWORKER_ENV;\nif (IS_BROWSER_OR_WEBWORKER) {\n // Running in browser or web-worker\n createCanvasFunction = (/** @type {number} */ width, /** @type {number} */ height) => {\n if (!self.OffscreenCanvas) {\n throw new Error('OffscreenCanvas not supported by this browser.');\n }\n return new self.OffscreenCanvas(width, height)\n };\n loadImageFunction = self.createImageBitmap;\n ImageDataClass = self.ImageData;\n\n} else if (sharp) {\n // Running in Node.js, electron, or other non-browser environment\n\n loadImageFunction = async (/**@type {sharp.Sharp}*/img) => {\n const metadata = await img.metadata();\n const rawChannels = metadata.channels;\n\n const { data, info } = await img.rotate().raw().toBuffer({ resolveWithObject: true });\n\n const newImage = new RawImage(new Uint8ClampedArray(data), info.width, info.height, info.channels);\n if (rawChannels !== undefined && rawChannels !== info.channels) {\n // Make sure the new image has the same number of channels as the input image.\n // This is necessary for grayscale images.\n newImage.convert(rawChannels);\n }\n return newImage;\n }\n\n} else {\n throw new Error('Unable to load image processing library.');\n}\n\n\n// Defined here: https://github.com/python-pillow/Pillow/blob/a405e8406b83f8bfb8916e93971edc7407b8b1ff/src/libImaging/Imaging.h#L262-L268\nconst RESAMPLING_MAPPING = {\n 0: 'nearest',\n 1: 'lanczos',\n 2: 'bilinear',\n 3: 'bicubic',\n 4: 'box',\n 5: 'hamming',\n}\n\n/**\n * Mapping from file extensions to MIME types.\n */\nconst CONTENT_TYPE_MAP = new Map([\n ['png', 'image/png'],\n ['jpg', 'image/jpeg'],\n ['jpeg', 'image/jpeg'],\n ['gif', 'image/gif'],\n]);\n\nexport class RawImage {\n\n /**\n * Create a new `RawImage` object.\n * @param {Uint8ClampedArray|Uint8Array} data The pixel data.\n * @param {number} width The width of the image.\n * @param {number} height The height of the image.\n * @param {1|2|3|4} channels The number of channels.\n */\n constructor(data, width, height, channels) {\n this.data = data;\n this.width = width;\n this.height = height;\n this.channels = channels;\n }\n\n /**\n * Returns the size of the image (width, height).\n * @returns {[number, number]} The size of the image (width, height).\n */\n get size() {\n return [this.width, this.height];\n }\n\n /**\n * Helper method for reading an image from a variety of input types.\n * @param {RawImage|string|URL} input\n * @returns The image object.\n *\n * **Example:** Read image from a URL.\n * ```javascript\n * let image = await RawImage.read('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/football-match.jpg');\n * // RawImage {\n * // \"data\": Uint8ClampedArray [ 25, 25, 25, 19, 19, 19, ... ],\n * // \"width\": 800,\n * // \"height\": 533,\n * // \"channels\": 3\n * // }\n * ```\n */\n static async read(input) {\n if (input instanceof RawImage) {\n return input;\n } else if (typeof input === 'string' || input instanceof URL) {\n return await this.fromURL(input);\n } else {\n throw new Error(`Unsupported input type: ${typeof input}`);\n }\n }\n\n /**\n * Read an image from a canvas.\n * @param {HTMLCanvasElement|OffscreenCanvas} canvas The canvas to read the image from.\n * @returns {RawImage} The image object.\n */\n static fromCanvas(canvas) {\n if (!IS_BROWSER_OR_WEBWORKER) {\n throw new Error('fromCanvas() is only supported in browser environments.')\n }\n\n const ctx = canvas.getContext('2d');\n const data = ctx.getImageData(0, 0, canvas.width, canvas.height).data;\n return new RawImage(data, canvas.width, canvas.height, 4);\n }\n\n /**\n * Read an image from a URL or file path.\n * @param {string|URL} url The URL or file path to read the image from.\n * @returns {Promise<RawImage>} The image object.\n */\n static async fromURL(url) {\n const response = await getFile(url);\n if (response.status !== 200) {\n throw new Error(`Unable to read image from \"${url}\" (${response.status} ${response.statusText})`);\n }\n const blob = await response.blob();\n return this.fromBlob(blob);\n }\n\n /**\n * Helper method to create a new Image from a blob.\n * @param {Blob} blob The blob to read the image from.\n * @returns {Promise<RawImage>} The image object.\n */\n static async fromBlob(blob) {\n if (IS_BROWSER_OR_WEBWORKER) {\n // Running in environment with canvas\n const img = await loadImageFunction(blob);\n\n const ctx = createCanvasFunction(img.width, img.height).getContext('2d');\n\n // Draw image to context\n ctx.drawImage(img, 0, 0);\n\n return new this(ctx.getImageData(0, 0, img.width, img.height).data, img.width, img.height, 4);\n\n } else {\n // Use sharp.js to read (and possible resize) the image.\n const img = sharp(await blob.arrayBuffer());\n\n return await loadImageFunction(img);\n }\n }\n\n /**\n * Helper method to create a new Image from a tensor\n * @param {Tensor} tensor\n */\n static fromTensor(tensor, channel_format = 'CHW') {\n if (tensor.dims.length !== 3) {\n throw new Error(`Tensor should have 3 dimensions, but has ${tensor.dims.length} dimensions.`);\n }\n\n if (channel_format === 'CHW') {\n tensor = tensor.transpose(1, 2, 0);\n } else if (channel_format === 'HWC') {\n // Do nothing\n } else {\n throw new Error(`Unsupported channel format: ${channel_format}`);\n }\n if (!(tensor.data instanceof Uint8ClampedArray || tensor.data instanceof Uint8Array)) {\n throw new Error(`Unsupported tensor type: ${tensor.type}`);\n }\n switch (tensor.dims[2]) {\n case 1:\n case 2:\n case 3:\n case 4:\n return new RawImage(tensor.data, tensor.dims[1], tensor.dims[0], tensor.dims[2]);\n default:\n throw new Error(`Unsupported number of channels: ${tensor.dims[2]}`);\n }\n }\n\n /**\n * Convert the image to grayscale format.\n * @returns {RawImage} `this` to support chaining.\n */\n grayscale() {\n if (this.channels === 1) {\n return this;\n }\n\n const newData = new Uint8ClampedArray(this.width * this.height * 1);\n switch (this.channels) {\n case 3: // rgb to grayscale\n case 4: // rgba to grayscale\n for (let i = 0, offset = 0; i < this.data.length; i += this.channels) {\n const red = this.data[i];\n const green = this.data[i + 1];\n const blue = this.data[i + 2];\n\n newData[offset++] = Math.round(0.2989 * red + 0.5870 * green + 0.1140 * blue);\n }\n break;\n default:\n throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`);\n }\n return this._update(newData, this.width, this.height, 1);\n }\n\n /**\n * Convert the image to RGB format.\n * @returns {RawImage} `this` to support chaining.\n */\n rgb() {\n if (this.channels === 3) {\n return this;\n }\n\n const newData = new Uint8ClampedArray(this.width * this.height * 3);\n\n switch (this.channels) {\n case 1: // grayscale to rgb\n for (let i = 0, offset = 0; i < this.data.length; ++i) {\n newData[offset++] = this.data[i];\n newData[offset++] = this.data[i];\n newData[offset++] = this.data[i];\n }\n break;\n case 4: // rgba to rgb\n for (let i = 0, offset = 0; i < this.data.length; i += 4) {\n newData[offset++] = this.data[i];\n newData[offset++] = this.data[i + 1];\n newData[offset++] = this.data[i + 2];\n }\n break;\n default:\n throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`);\n }\n return this._update(newData, this.width, this.height, 3);\n\n }\n\n /**\n * Convert the image to RGBA format.\n * @returns {RawImage} `this` to support chaining.\n */\n rgba() {\n if (this.channels === 4) {\n return this;\n }\n\n const newData = new Uint8ClampedArray(this.width * this.height * 4);\n\n switch (this.channels) {\n case 1: // grayscale to rgba\n for (let i = 0, offset = 0; i < this.data.length; ++i) {\n newData[offset++] = this.data[i];\n newData[offset++] = this.data[i];\n newData[offset++] = this.data[i];\n newData[offset++] = 255;\n }\n break;\n case 3: // rgb to rgba\n for (let i = 0, offset = 0; i < this.data.length; i += 3) {\n newData[offset++] = this.data[i];\n newData[offset++] = this.data[i + 1];\n newData[offset++] = this.data[i + 2];\n newData[offset++] = 255;\n }\n break;\n default:\n throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`);\n }\n\n return this._update(newData, this.width, this.height, 4);\n }\n\n /**\n * Apply an alpha mask to the image. Operates in place.\n * @param {RawImage} mask The mask to apply. It should have a single channel.\n * @returns {RawImage} The masked image.\n * @throws {Error} If the mask is not the same size as the image.\n * @throws {Error} If the image does not have 4 channels.\n * @throws {Error} If the mask is not a single channel.\n */\n putAlpha(mask) {\n if (mask.width !== this.width || mask.height !== this.height) {\n throw new Error(`Expected mask size to be ${this.width}x${this.height}, but got ${mask.width}x${mask.height}`);\n }\n if (mask.channels !== 1) {\n throw new Error(`Expected mask to have 1 channel, but got ${mask.channels}`);\n }\n\n const this_data = this.data;\n const mask_data = mask.data;\n const num_pixels = this.width * this.height;\n if (this.channels === 3) {\n // Convert to RGBA and simultaneously apply mask to alpha channel\n const newData = new Uint8ClampedArray(num_pixels * 4);\n for (let i = 0, in_offset = 0, out_offset = 0; i < num_pixels; ++i) {\n newData[out_offset++] = this_data[in_offset++];\n newData[out_offset++] = this_data[in_offset++];\n newData[out_offset++] = this_data[in_offset++];\n newData[out_offset++] = mask_data[i];\n }\n return this._update(newData, this.width, this.height, 4);\n\n } else if (this.channels === 4) {\n // Apply mask to alpha channel in place\n for (let i = 0; i < num_pixels; ++i) {\n this_data[4 * i + 3] = mask_data[i];\n }\n return this;\n }\n throw new Error(`Expected image to have 3 or 4 channels, but got ${this.channels}`);\n }\n\n /**\n * Resize the image to the given dimensions. This method uses the canvas API to perform the resizing.\n * @param {number} width The width of the new image. `null` or `-1` will preserve the aspect ratio.\n * @param {number} height The height of the new image. `null` or `-1` will preserve the aspect ratio.\n * @param {Object} options Additional options for resizing.\n * @param {0|1|2|3|4|5|string} [options.resample] The resampling method to use.\n * @returns {Promise<RawImage>} `this` to support chaining.\n */\n async resize(width, height, {\n resample = 2,\n } = {}) {\n\n // Do nothing if the image already has the desired size\n if (this.width === width && this.height === height) {\n return this;\n }\n\n // Ensure resample method is a string\n let resampleMethod = RESAMPLING_MAPPING[resample] ?? resample;\n\n // Calculate width / height to maintain aspect ratio, in the event that\n // the user passed a null value in.\n // This allows users to pass in something like `resize(320, null)` to\n // resize to 320 width, but maintain aspect ratio.\n const nullish_width = isNullishDimension(width);\n const nullish_height = isNullishDimension(height);\n if (nullish_width && nullish_height) {\n return this;\n } else if (nullish_width) {\n width = (height / this.height) * this.width;\n } else if (nullish_height) {\n height = (width / this.width) * this.height;\n }\n\n if (IS_BROWSER_OR_WEBWORKER) {\n // TODO use `resample` in browser environment\n\n // Store number of channels before resizing\n const numChannels = this.channels;\n\n // Create canvas object for this image\n const canvas = this.toCanvas();\n\n // Actually perform resizing using the canvas API\n const ctx = createCanvasFunction(width, height).getContext('2d');\n\n // Draw image to context, resizing in the process\n ctx.drawImage(canvas, 0, 0, width, height);\n\n // Create image from the resized data\n const resizedImage = new RawImage(ctx.getImageData(0, 0, width, height).data, width, height, 4);\n\n // Convert back so that image has the same number of channels as before\n return resizedImage.convert(numChannels);\n\n } else {\n // Create sharp image from raw data, and resize\n let img = this.toSharp();\n\n switch (resampleMethod) {\n case 'box':\n case 'hamming':\n if (resampleMethod === 'box' || resampleMethod === 'hamming') {\n console.warn(`Resampling method ${resampleMethod} is not yet supported. Using bilinear instead.`);\n resampleMethod = 'bilinear';\n }\n\n case 'nearest':\n case 'bilinear':\n case 'bicubic':\n // Perform resizing using affine transform.\n // This matches how the python Pillow library does it.\n img = img.affine([width / this.width, 0, 0, height / this.height], {\n interpolator: resampleMethod\n });\n break;\n\n case 'lanczos':\n // https://github.com/python-pillow/Pillow/discussions/5519\n // https://github.com/lovell/sharp/blob/main/docs/api-resize.md\n img = img.resize({\n width, height,\n fit: 'fill',\n kernel: 'lanczos3', // PIL Lanczos uses a kernel size of 3\n });\n break;\n\n default:\n throw new Error(`Resampling method ${resampleMethod} is not supported.`);\n }\n\n return await loadImageFunction(img);\n }\n\n }\n\n async pad([left, right, top, bottom]) {\n left = Math.max(left, 0);\n right = Math.max(right, 0);\n top = Math.max(top, 0);\n bottom = Math.max(bottom, 0);\n\n if (left === 0 && right === 0 && top === 0 && bottom === 0) {\n // No padding needed\n return this;\n }\n\n if (IS_BROWSER_OR_WEBWORKER) {\n // Store number of channels before padding\n const numChannels = this.channels;\n\n // Create canvas object for this image\n const canvas = this.toCanvas();\n\n const newWidth = this.width + left + right;\n const newHeight = this.height + top + bottom;\n\n // Create a new canvas of the desired size.\n const ctx = createCanvasFunction(newWidth, newHeight).getContext('2d');\n\n // Draw image to context, padding in the process\n ctx.drawImage(canvas,\n 0, 0, this.width, this.height,\n left, top, this.width, this.height\n );\n\n // Create image from the padded data\n const paddedImage = new RawImage(\n ctx.getImageData(0, 0, newWidth, newHeight).data,\n newWidth, newHeight, 4\n );\n\n // Convert back so that image has the same number of channels as before\n return paddedImage.convert(numChannels);\n\n } else {\n const img = this.toSharp().extend({ left, right, top, bottom });\n return await loadImageFunction(img);\n }\n }\n\n async crop([x_min, y_min, x_max, y_max]) {\n // Ensure crop bounds are within the image\n x_min = Math.max(x_min, 0);\n y_min = Math.max(y_min, 0);\n x_max = Math.min(x_max, this.width - 1);\n y_max = Math.min(y_max, this.height - 1);\n\n // Do nothing if the crop is the entire image\n if (x_min === 0 && y_min === 0 && x_max === this.width - 1 && y_max === this.height - 1) {\n return this;\n }\n\n const crop_width = x_max - x_min + 1;\n const crop_height = y_max - y_min + 1;\n\n if (IS_BROWSER_OR_WEBWORKER) {\n // Store number of channels before resizing\n const numChannels = this.channels;\n\n // Create canvas object for this image\n const canvas = this.toCanvas();\n\n // Create a new canvas of the desired size. This is needed since if the\n // image is too small, we need to pad it with black pixels.\n const ctx = createCanvasFunction(crop_width, crop_height).getContext('2d');\n\n // Draw image to context, cropping in the process\n ctx.drawImage(canvas,\n x_min, y_min, crop_width, crop_height,\n 0, 0, crop_width, crop_height\n );\n\n // Create image from the resized data\n const resizedImage = new RawImage(ctx.getImageData(0, 0, crop_width, crop_height).data, crop_width, crop_height, 4);\n\n // Convert back so that image has the same number of channels as before\n return resizedImage.convert(numChannels);\n\n } else {\n // Create sharp image from raw data\n const img = this.toSharp().extract({\n left: x_min,\n top: y_min,\n width: crop_width,\n height: crop_height,\n });\n\n return await loadImageFunction(img);\n }\n\n }\n\n async center_crop(crop_width, crop_height) {\n // If the image is already the desired size, return it\n if (this.width === crop_width && this.height === crop_height) {\n return this;\n }\n\n // Determine bounds of the image in the new canvas\n const width_offset = (this.width - crop_width) / 2;\n const height_offset = (this.height - crop_height) / 2;\n\n\n if (IS_BROWSER_OR_WEBWORKER) {\n // Store number of channels before resizing\n const numChannels = this.channels;\n\n // Create canvas object for this image\n const canvas = this.toCanvas();\n\n // Create a new canvas of the desired size. This is needed since if the\n // image is too small, we need to pad it with black pixels.\n const ctx = createCanvasFunction(crop_width, crop_height).getContext('2d');\n\n let sourceX = 0;\n let sourceY = 0;\n let destX = 0;\n let destY = 0;\n\n if (width_offset >= 0) {\n sourceX = width_offset;\n } else {\n destX = -width_offset;\n }\n\n if (height_offset >= 0) {\n sourceY = height_offset;\n } else {\n destY = -height_offset;\n }\n\n // Draw image to context, cropping in the process\n ctx.drawImage(canvas,\n sourceX, sourceY, crop_width, crop_height,\n destX, destY, crop_width, crop_height\n );\n\n // Create image from the resized data\n const resizedImage = new RawImage(ctx.getImageData(0, 0, crop_width, crop_height).data, crop_width, crop_height, 4);\n\n // Convert back so that image has the same number of channels as before\n return resizedImage.convert(numChannels);\n\n } else {\n // Create sharp image from raw data\n let img = this.toSharp();\n\n if (width_offset >= 0 && height_offset >= 0) {\n // Cropped image lies entirely within the original image\n img = img.extract({\n left: Math.floor(width_offset),\n top: Math.floor(height_offset),\n width: crop_width,\n height: crop_height,\n })\n } else if (width_offset <= 0 && height_offset <= 0) {\n // Cropped image lies entirely outside the original image,\n // so we add padding\n const top = Math.floor(-height_offset);\n const left = Math.floor(-width_offset);\n img = img.extend({\n top: top,\n left: left,\n\n // Ensures the resulting image has the desired dimensions\n right: crop_width - this.width - left,\n bottom: crop_height - this.height - top,\n });\n } else {\n // Cropped image lies partially outside the original image.\n // We first pad, then crop.\n\n let y_padding = [0, 0];\n let y_extract = 0;\n if (height_offset < 0) {\n y_padding[0] = Math.floor(-height_offset);\n y_padding[1] = crop_height - this.height - y_padding[0];\n } else {\n y_extract = Math.floor(height_offset);\n }\n\n let x_padding = [0, 0];\n let x_extract = 0;\n if (width_offset < 0) {\n x_padding[0] = Math.floor(-width_offset);\n x_padding[1] = crop_width - this.width - x_padding[0];\n } else {\n x_extract = Math.floor(width_offset);\n }\n\n img = img.extend({\n top: y_padding[0],\n bottom: y_padding[1],\n left: x_padding[0],\n right: x_padding[1],\n }).extract({\n left: x_extract,\n top: y_extract,\n width: crop_width,\n height: crop_height,\n })\n }\n\n return await loadImageFunction(img);\n }\n }\n\n async toBlob(type = 'image/png', quality = 1) {\n if (!IS_BROWSER_OR_WEBWORKER) {\n throw new Error('toBlob() is only supported in browser environments.')\n }\n\n const canvas = this.toCanvas();\n return await canvas.convertToBlob({ type, quality });\n }\n\n toTensor(channel_format = 'CHW') {\n let tensor = new Tensor(\n 'uint8',\n new Uint8Array(this.data),\n [this.height, this.width, this.channels]\n );\n\n if (channel_format === 'HWC') {\n // Do nothing\n } else if (channel_format === 'CHW') { // hwc -> chw\n tensor = tensor.permute(2, 0, 1);\n } else {\n throw new Error(`Unsupported channel format: ${channel_format}`);\n }\n return tensor;\n }\n\n toCanvas() {\n if (!IS_BROWSER_OR_WEBWORKER) {\n throw new Error('toCanvas() is only supported in browser environments.')\n }\n\n // Clone, and convert data to RGBA before drawing to canvas.\n // This is because the canvas API only supports RGBA\n const cloned = this.clone().rgba();\n\n // Create canvas object for the cloned image\n const clonedCanvas = createCanvasFunction(cloned.width, cloned.height);\n\n // Draw image to context\n const data = new ImageDataClass(cloned.data, cloned.width, cloned.height);\n clonedCanvas.getContext('2d').putImageData(data, 0, 0);\n\n return clonedCanvas;\n }\n\n /**\n * Split this image into individual bands. This method returns an array of individual image bands from an image.\n * For example, splitting an \"RGB\" image creates three new images each containing a copy of one of the original bands (red, green, blue).\n * \n * Inspired by PIL's `Image.split()` [function](https://pillow.readthedocs.io/en/latest/reference/Image.html#PIL.Image.Image.split).\n * @returns {RawImage[]} An array containing bands.\n */\n split() {\n const { data, width, height, channels } = this;\n\n /** @type {typeof Uint8Array | typeof Uint8ClampedArray} */\n const data_type = /** @type {any} */(data.constructor);\n const per_channel_length = data.length / channels;\n\n // Pre-allocate buffers for each channel\n const split_data = Array.from(\n { length: channels },\n () => new data_type(per_channel_length),\n );\n\n // Write pixel data\n for (let i = 0; i < per_channel_length; ++i) {\n const data_offset = channels * i;\n for (let j = 0; j < channels; ++j) {\n split_data[j][i] = data[data_offset + j];\n }\n }\n return split_data.map((data) => new RawImage(data, width, height, 1));\n }\n\n /**\n * Helper method to update the image data.\n * @param {Uint8ClampedArray} data The new image data.\n * @param {number} width The new width of the image.\n * @param {number} height The new height of the image.\n * @param {1|2|3|4|null} [channels] The new number of channels of the image.\n * @private\n */\n _update(data, width, height, channels = null) {\n this.data = data;\n this.width = width;\n this.height = height;\n if (channels !== null) {\n this.channels = channels;\n }\n return this;\n }\n\n /**\n * Clone the image\n * @returns {RawImage} The cloned image\n */\n clone() {\n return new RawImage(this.data.slice(), this.width, this.height, this.channels);\n }\n\n /**\n * Helper method for converting image to have a certain number of channels\n * @param {number} numChannels The number of channels. Must be 1, 3, or 4.\n * @returns {RawImage} `this` to support chaining.\n */\n convert(numChannels) {\n if (this.channels === numChannels) return this; // Already correct number of channels\n\n switch (numChannels) {\n case 1:\n this.grayscale();\n break;\n case 3:\n this.rgb();\n break;\n case 4:\n this.rgba();\n break;\n default:\n throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`);\n }\n return this;\n }\n\n /**\n * Save the image to the given path.\n * @param {string} path The path to save the image to.\n */\n async save(path) {\n\n if (IS_BROWSER_OR_WEBWORKER) {\n if (apis.IS_WEBWORKER_ENV) {\n throw new Error('Unable to save an image from a Web Worker.')\n }\n\n const extension = path.split('.').pop().toLowerCase();\n const mime = CONTENT_TYPE_MAP.get(extension) ?? 'image/png';\n\n // Convert image to Blob\n const blob = await this.toBlob(mime);\n\n saveBlob(path, blob)\n\n } else if (!apis.IS_FS_AVAILABLE) {\n throw new Error('Unable to save the image because filesystem is disabled in this environment.')\n\n } else {\n const img = this.toSharp();\n return await img.toFile(path);\n }\n }\n\n toSharp() {\n if (IS_BROWSER_OR_WEBWORKER) {\n throw new Error('toSharp() is only supported in server-side environments.')\n }\n\n return sharp(this.data, {\n raw: {\n width: this.width,\n height: this.height,\n channels: this.channels\n }\n });\n }\n}\n\n/**\n * Helper function to load an image from a URL, path, etc.\n */\nexport const load_image = RawImage.read.bind(RawImage);\n\n", "\n/**\n * @file Helper module for mathematical processing. \n * \n * These functions and classes are only used internally, \n * meaning an end-user shouldn't need to access anything here.\n * \n * @module utils/maths\n */\n\n/**\n * @typedef {Int8Array | Uint8Array | Uint8ClampedArray | Int16Array | Uint16Array | Int32Array | Uint32Array | Float32Array | Float64Array} TypedArray\n * @typedef {BigInt64Array | BigUint64Array} BigTypedArray\n * @typedef {TypedArray | BigTypedArray} AnyTypedArray\n */\n\n/**\n * @param {TypedArray} input\n */\nexport function interpolate_data(input, [in_channels, in_height, in_width], [out_height, out_width], mode = 'bilinear', align_corners = false) {\n // TODO use mode and align_corners\n\n // Output image dimensions\n const x_scale = out_width / in_width;\n const y_scale = out_height / in_height;\n\n // Output image\n // @ts-ignore\n const out_img = new input.constructor(out_height * out_width * in_channels);\n\n // Pre-calculate strides\n const inStride = in_height * in_width;\n const outStride = out_height * out_width;\n\n for (let i = 0; i < out_height; ++i) {\n for (let j = 0; j < out_width; ++j) {\n // Calculate output offset\n const outOffset = i * out_width + j;\n\n // Calculate input pixel coordinates\n const x = (j + 0.5) / x_scale - 0.5;\n const y = (i + 0.5) / y_scale - 0.5;\n\n // Calculate the four nearest input pixels\n // We also check if the input pixel coordinates are within the image bounds\n let x1 = Math.floor(x);\n let y1 = Math.floor(y);\n const x2 = Math.min(x1 + 1, in_width - 1);\n const y2 = Math.min(y1 + 1, in_height - 1);\n\n x1 = Math.max(x1, 0);\n y1 = Math.max(y1, 0);\n\n\n // Calculate the fractional distances between the input pixel and the four nearest pixels\n const s = x - x1;\n const t = y - y1;\n\n // Perform bilinear interpolation\n const w1 = (1 - s) * (1 - t);\n const w2 = s * (1 - t);\n const w3 = (1 - s) * t;\n const w4 = s * t;\n\n // Calculate the four nearest input pixel indices\n const yStride = y1 * in_width;\n const xStride = y2 * in_width;\n const idx1 = yStride + x1;\n const idx2 = yStride + x2;\n const idx3 = xStride + x1;\n const idx4 = xStride + x2;\n\n for (let k = 0; k < in_channels; ++k) {\n // Calculate channel offset\n const cOffset = k * inStride;\n\n out_img[k * outStride + outOffset] =\n w1 * input[cOffset + idx1] +\n w2 * input[cOffset + idx2] +\n w3 * input[cOffset + idx3] +\n w4 * input[cOffset + idx4];\n }\n }\n }\n\n return out_img;\n}\n\n\n/**\n * Helper method to permute a `AnyTypedArray` directly\n * @template {AnyTypedArray} T \n * @param {T} array \n * @param {number[]} dims \n * @param {number[]} axes \n * @returns {[T, number[]]} The permuted array and the new shape.\n */\nexport function permute_data(array, dims, axes) {\n // Calculate the new shape of the permuted array\n // and the stride of the original array\n const shape = new Array(axes.length);\n const stride = new Array(axes.length);\n\n for (let i = axes.length - 1, s = 1; i >= 0; --i) {\n stride[i] = s;\n shape[i] = dims[axes[i]];\n s *= shape[i];\n }\n\n // Precompute inverse mapping of stride\n const invStride = axes.map((_, i) => stride[axes.indexOf(i)]);\n\n // Create the permuted array with the new shape\n // @ts-ignore\n const permutedData = new array.constructor(array.length);\n\n // Permute the original array to the new array\n for (let i = 0; i < array.length; ++i) {\n let newIndex = 0;\n for (let j = dims.length - 1, k = i; j >= 0; --j) {\n newIndex += (k % dims[j]) * invStride[j];\n k = Math.floor(k / dims[j]);\n }\n permutedData[newIndex] = array[i];\n }\n\n return [permutedData, shape];\n}\n\n\n/**\n * Compute the softmax of an array of numbers.\n * @template {TypedArray|number[]} T\n * @param {T} arr The array of numbers to compute the softmax of.\n * @returns {T} The softmax array.\n */\nexport function softmax(arr) {\n // Compute the maximum value in the array\n const maxVal = max(arr)[0];\n\n // Compute the exponentials of the array values\n const exps = arr.map(x => Math.exp(x - maxVal));\n\n // Compute the sum of the exponentials\n // @ts-ignore\n const sumExps = exps.reduce((acc, val) => acc + val, 0);\n\n // Compute the softmax values\n const softmaxArr = exps.map(x => x / sumExps);\n\n return /** @type {T} */(softmaxArr);\n}\n\n/**\n * Calculates the logarithm of the softmax function for the input array.\n * @template {TypedArray|number[]} T\n * @param {T} arr The input array to calculate the log_softmax function for.\n * @returns {T} The resulting log_softmax array.\n */\nexport function log_softmax(arr) {\n // Compute the maximum value in the array\n const maxVal = max(arr)[0];\n\n // Compute the sum of the exponentials\n let sumExps = 0;\n for(let i = 0; i < arr.length; ++i) {\n sumExps += Math.exp(arr[i] - maxVal);\n }\n\n // Compute the log of the sum\n const logSum = Math.log(sumExps);\n\n // Compute the softmax values\n const logSoftmaxArr = arr.map(x => x - maxVal - logSum);\n\n return /** @type {T} */(logSoftmaxArr);\n}\n\n/**\n * Calculates the dot product of two arrays.\n * @param {number[]} arr1 The first array.\n * @param {number[]} arr2 The second array.\n * @returns {number} The dot product of arr1 and arr2.\n */\nexport function dot(arr1, arr2) {\n let result = 0;\n for (let i = 0; i < arr1.length; ++i) {\n result += arr1[i] * arr2[i];\n }\n return result;\n}\n\n/**\n * Computes the cosine similarity between two arrays.\n *\n * @param {number[]} arr1 The first array.\n * @param {number[]} arr2 The second array.\n * @returns {number} The cosine similarity between the two arrays.\n */\nexport function cos_sim(arr1, arr2) {\n // Calculate dot product of the two arrays\n const dotProduct = dot(arr1, arr2);\n\n // Calculate the magnitude of the first array\n const magnitudeA = magnitude(arr1);\n\n // Calculate the magnitude of the second array\n const magnitudeB = magnitude(arr2);\n\n // Calculate the cosine similarity\n const cosineSimilarity = dotProduct / (magnitudeA * magnitudeB);\n\n return cosineSimilarity;\n}\n\n/**\n * Calculates the magnitude of a given array.\n * @param {number[]} arr The array to calculate the magnitude of.\n * @returns {number} The magnitude of the array.\n */\nexport function magnitude(arr) {\n return Math.sqrt(arr.reduce((acc, val) => acc + val * val, 0));\n}\n\n\n/**\n * Returns the value and index of the minimum element in an array.\n * @template {number[]|bigint[]|AnyTypedArray} T\n * @param {T} arr array of numbers.\n * @returns {T extends bigint[]|BigTypedArray ? [bigint, number] : [number, number]} the value and index of the minimum element, of the form: [valueOfMin, indexOfMin]\n * @throws {Error} If array is empty.\n */\nexport function min(arr) {\n if (arr.length === 0) throw Error('Array must not be empty');\n let min = arr[0];\n let indexOfMin = 0;\n for (let i = 1; i < arr.length; ++i) {\n if (arr[i] < min) {\n min = arr[i];\n indexOfMin = i;\n }\n }\n return /** @type {T extends bigint[]|BigTypedArray ? [bigint, number] : [number, number]} */([min, indexOfMin]);\n}\n\n\n/**\n * Returns the value and index of the maximum element in an array.\n * @template {number[]|bigint[]|AnyTypedArray} T\n * @param {T} arr array of numbers.\n * @returns {T extends bigint[]|BigTypedArray ? [bigint, number] : [number, number]} the value and index of the maximum element, of the form: [valueOfMax, indexOfMax]\n * @throws {Error} If array is empty.\n */\nexport function max(arr) {\n if (arr.length === 0) throw Error('Array must not be empty');\n let max = arr[0];\n let indexOfMax = 0;\n for (let i = 1; i < arr.length; ++i) {\n if (arr[i] > max) {\n max = arr[i];\n indexOfMax = i;\n }\n }\n return /** @type {T extends bigint[]|BigTypedArray ? [bigint, number] : [number, number]} */([max, indexOfMax]);\n}\n\nfunction isPowerOfTwo(number) {\n // Check if the number is greater than 0 and has only one bit set to 1\n return (number > 0) && ((number & (number - 1)) === 0);\n}\n\n/**\n * Implementation of Radix-4 FFT.\n * \n * P2FFT class provides functionality for performing Fast Fourier Transform on arrays\n * which are a power of two in length.\n * Code adapted from https://www.npmjs.com/package/fft.js\n */\nclass P2FFT {\n /**\n * @param {number} size The size of the input array. Must be a power of two larger than 1.\n * @throws {Error} FFT size must be a power of two larger than 1.\n */\n constructor(size) {\n this.size = size | 0; // convert to a 32-bit signed integer\n if (this.size <= 1 || !isPowerOfTwo(this.size))\n throw new Error('FFT size must be a power of two larger than 1');\n\n this._csize = size << 1;\n\n this.table = new Float64Array(this.size * 2);\n for (let i = 0; i < this.table.length; i += 2) {\n const angle = Math.PI * i / this.size;\n this.table[i] = Math.cos(angle);\n this.table[i + 1] = -Math.sin(angle);\n }\n\n // Find size's power of two\n let power = 0;\n for (let t = 1; this.size > t; t <<= 1)\n ++power;\n\n // Calculate initial step's width:\n // * If we are full radix-4, it is 2x smaller to give inital len=8\n // * Otherwise it is the same as `power` to give len=4\n this._width = power % 2 === 0 ? power - 1 : power;\n\n // Pre-compute bit-reversal patterns\n this._bitrev = new Int32Array(1 << this._width);\n for (let j = 0; j < this._bitrev.length; ++j) {\n this._bitrev[j] = 0;\n for (let shift = 0; shift < this._width; shift += 2) {\n const revShift = this._width - shift - 2;\n this._bitrev[j] |= ((j >>> shift) & 3) << revShift;\n }\n }\n }\n\n /**\n * Create a complex number array with size `2 * size`\n *\n * @returns {Float64Array} A complex number array with size `2 * size`\n */\n createComplexArray() {\n return new Float64Array(this._csize);\n }\n\n /**\n * Converts a complex number representation stored in a Float64Array to an array of real numbers.\n * \n * @param {Float64Array} complex The complex number representation to be converted.\n * @param {number[]} [storage] An optional array to store the result in.\n * @returns {number[]} An array of real numbers representing the input complex number representation.\n */\n fromComplexArray(complex, storage) {\n const res = storage || new Array(complex.length >>> 1);\n for (let i = 0; i < complex.length; i += 2)\n res[i >>> 1] = complex[i];\n return res;\n }\n\n /**\n * Convert a real-valued input array to a complex-valued output array.\n * @param {Float64Array} input The real-valued input array.\n * @param {Float64Array} [storage] Optional buffer to store the output array.\n * @returns {Float64Array} The complex-valued output array.\n */\n toComplexArray(input, storage) {\n const res = storage || this.createComplexArray();\n for (let i = 0; i < res.length; i += 2) {\n res[i] = input[i >>> 1];\n res[i + 1] = 0;\n }\n return res;\n }\n\n /**\n * Performs a Fast Fourier Transform (FFT) on the given input data and stores the result in the output buffer.\n * \n * @param {Float64Array} out The output buffer to store the result.\n * @param {Float64Array} data The input data to transform.\n * \n * @throws {Error} Input and output buffers must be different.\n * \n * @returns {void}\n */\n transform(out, data) {\n if (out === data)\n throw new Error('Input and output buffers must be different');\n\n this._transform4(out, data, 1 /* DONE */);\n }\n\n /**\n * Performs a real-valued forward FFT on the given input buffer and stores the result in the given output buffer.\n * The input buffer must contain real values only, while the output buffer will contain complex values. The input and\n * output buffers must be different.\n *\n * @param {Float64Array} out The output buffer.\n * @param {Float64Array} data The input buffer containing real values.\n *\n * @throws {Error} If the input and output buffers are the same.\n */\n realTransform(out, data) {\n if (out === data)\n throw new Error('Input and output buffers must be different');\n\n this._realTransform4(out, data, 1 /* DONE */);\n }\n\n /**\n * Performs an inverse FFT transformation on the given `data` array, and stores the result in `out`.\n * The `out` array must be a different buffer than the `data` array. The `out` array will contain the\n * result of the transformation. The `data` array will not be modified.\n * \n * @param {Float64Array} out The output buffer for the transformed data.\n * @param {Float64Array} data The input data to transform.\n * @throws {Error} If `out` and `data` refer to the same buffer.\n * @returns {void}\n */\n inverseTransform(out, data) {\n if (out === data)\n throw new Error('Input and output buffers must be different');\n\n this._transform4(out, data, -1 /* DONE */);\n for (let i = 0; i < out.length; ++i)\n out[i] /= this.size;\n }\n\n /**\n * Performs a radix-4 implementation of a discrete Fourier transform on a given set of data.\n *\n * @param {Float64Array} out The output buffer for the transformed data.\n * @param {Float64Array} data The input buffer of data to be transformed.\n * @param {number} inv A scaling factor to apply to the transform.\n * @returns {void}\n */\n _transform4(out, data, inv) {\n // radix-4 implementation\n\n const size = this._csize;\n\n // Initial step (permute and transform)\n const width = this._width;\n let step = 1 << width;\n let len = (size / step) << 1;\n\n let outOff;\n let t;\n const bitrev = this._bitrev;\n if (len === 4) {\n for (outOff = 0, t = 0; outOff < size; outOff += len, ++t) {\n const off = bitrev[t];\n this._singleTransform2(data, out, outOff, off, step);\n }\n } else {\n // len === 8\n for (outOff = 0, t = 0; outOff < size; outOff += len, ++t) {\n const off = bitrev[t];\n this._singleTransform4(data, out, outOff, off, step, inv);\n }\n }\n\n // Loop through steps in decreasing order\n const table = this.table;\n for (step >>= 2; step >= 2; step >>= 2) {\n len = (size / step) << 1;\n const quarterLen = len >>> 2;\n\n // Loop through offsets in the data\n for (outOff = 0; outOff < size; outOff += len) {\n // Full case\n const limit = outOff + quarterLen - 1;\n for (let i = outOff, k = 0; i < limit; i += 2, k += step) {\n const A = i;\n const B = A + quarterLen;\n const C = B + quarterLen;\n const D = C + quarterLen;\n\n // Original values\n const Ar = out[A];\n const Ai = out[A + 1];\n const Br = out[B];\n const Bi = out[B + 1];\n const Cr = out[C];\n const Ci = out[C + 1];\n const Dr = out[D];\n const Di = out[D + 1];\n\n const tableBr = table[k];\n const tableBi = inv * table[k + 1];\n const MBr = Br * tableBr - Bi * tableBi;\n const MBi = Br * tableBi + Bi * tableBr;\n\n const tableCr = table[2 * k];\n const tableCi = inv * table[2 * k + 1];\n const MCr = Cr * tableCr - Ci * tableCi;\n const MCi = Cr * tableCi + Ci * tableCr;\n\n const tableDr = table[3 * k];\n const tableDi = inv * table[3 * k + 1];\n const MDr = Dr * tableDr - Di * tableDi;\n const MDi = Dr * tableDi + Di * tableDr;\n\n // Pre-Final values\n const T0r = Ar + MCr;\n const T0i = Ai + MCi;\n const T1r = Ar - MCr;\n const T1i = Ai - MCi;\n const T2r = MBr + MDr;\n const T2i = MBi + MDi;\n const T3r = inv * (MBr - MDr);\n const T3i = inv * (MBi - MDi);\n\n // Final values\n out[A] = T0r + T2r;\n out[A + 1] = T0i + T2i;\n out[B] = T1r + T3i;\n out[B + 1] = T1i - T3r;\n out[C] = T0r - T2r;\n out[C + 1] = T0i - T2i;\n out[D] = T1r - T3i;\n out[D + 1] = T1i + T3r;\n }\n }\n }\n }\n\n /**\n * Performs a radix-2 implementation of a discrete Fourier transform on a given set of data.\n *\n * @param {Float64Array} data The input buffer of data to be transformed.\n * @param {Float64Array} out The output buffer for the transformed data.\n * @param {number} outOff The offset at which to write the output data.\n * @param {number} off The offset at which to begin reading the input data.\n * @param {number} step The step size for indexing the input data.\n * @returns {void}\n */\n _singleTransform2(data, out, outOff, off, step) {\n // radix-2 implementation\n // NOTE: Only called for len=4\n\n const evenR = data[off];\n const evenI = data[off + 1];\n const oddR = data[off + step];\n const oddI = data[off + step + 1];\n\n out[outOff] = evenR + oddR;\n out[outOff + 1] = evenI + oddI;\n out[outOff + 2] = evenR - oddR;\n out[outOff + 3] = evenI - oddI;\n }\n\n /**\n * Performs radix-4 transformation on input data of length 8\n *\n * @param {Float64Array} data Input data array of length 8\n * @param {Float64Array} out Output data array of length 8\n * @param {number} outOff Index of output array to start writing from\n * @param {number} off Index of input array to start reading from\n * @param {number} step Step size between elements in input array\n * @param {number} inv Scaling factor for inverse transform\n * \n * @returns {void}\n */\n _singleTransform4(data, out, outOff, off, step, inv) {\n // radix-4\n // NOTE: Only called for len=8\n const step2 = step * 2;\n const step3 = step * 3;\n\n // Original values\n const Ar = data[off];\n const Ai = data[off + 1];\n const Br = data[off + step];\n const Bi = data[off + step + 1];\n const Cr = data[off + step2];\n const Ci = data[off + step2 + 1];\n const Dr = data[off + step3];\n const Di = data[off + step3 + 1];\n\n // Pre-Final values\n const T0r = Ar + Cr;\n const T0i = Ai + Ci;\n const T1r = Ar - Cr;\n const T1i = Ai - Ci;\n const T2r = Br + Dr;\n const T2i = Bi + Di;\n const T3r = inv * (Br - Dr);\n const T3i = inv * (Bi - Di);\n\n // Final values\n out[outOff] = T0r + T2r;\n out[outOff + 1] = T0i + T2i;\n out[outOff + 2] = T1r + T3i;\n out[outOff + 3] = T1i - T3r;\n out[outOff + 4] = T0r - T2r;\n out[outOff + 5] = T0i - T2i;\n out[outOff + 6] = T1r - T3i;\n out[outOff + 7] = T1i + T3r;\n }\n\n /**\n * Real input radix-4 implementation\n * @param {Float64Array} out Output array for the transformed data\n * @param {Float64Array} data Input array of real data to be transformed\n * @param {number} inv The scale factor used to normalize the inverse transform\n */\n _realTransform4(out, data, inv) {\n // Real input radix-4 implementation\n const size = this._csize;\n\n // Initial step (permute and transform)\n const width = this._width;\n let step = 1 << width;\n let len = (size / step) << 1;\n\n let outOff;\n let t;\n const bitrev = this._bitrev;\n if (len === 4) {\n for (outOff = 0, t = 0; outOff < size; outOff += len, ++t) {\n const off = bitrev[t];\n this._singleRealTransform2(data, out, outOff, off >>> 1, step >>> 1);\n }\n } else {\n // len === 8\n for (outOff = 0, t = 0; outOff < size; outOff += len, ++t) {\n const off = bitrev[t];\n this._singleRealTransform4(data, out, outOff, off >>> 1, step >>> 1, inv);\n }\n }\n\n // Loop through steps in decreasing order\n const table = this.table;\n for (step >>= 2; step >= 2; step >>= 2) {\n len = (size / step) << 1;\n const halfLen = len >>> 1;\n const quarterLen = halfLen >>> 1;\n const hquarterLen = quarterLen >>> 1;\n\n // Loop through offsets in the data\n for (outOff = 0; outOff < size; outOff += len) {\n for (let i = 0, k = 0; i <= hquarterLen; i += 2, k += step) {\n const A = outOff + i;\n const B = A + quarterLen;\n const C = B + quarterLen;\n const D = C + quarterLen;\n\n // Original values\n const Ar = out[A];\n const Ai = out[A + 1];\n const Br = out[B];\n const Bi = out[B + 1];\n const Cr = out[C];\n const Ci = out[C + 1];\n const Dr = out[D];\n const Di = out[D + 1];\n\n // Middle values\n const MAr = Ar;\n const MAi = Ai;\n\n const tableBr = table[k];\n const tableBi = inv * table[k + 1];\n const MBr = Br * tableBr - Bi * tableBi;\n const MBi = Br * tableBi + Bi * tableBr;\n\n const tableCr = table[2 * k];\n const tableCi = inv * table[2 * k + 1];\n const MCr = Cr * tableCr - Ci * tableCi;\n const MCi = Cr * tableCi + Ci * tableCr;\n\n const tableDr = table[3 * k];\n const tableDi = inv * table[3 * k + 1];\n const MDr = Dr * tableDr - Di * tableDi;\n const MDi = Dr * tableDi + Di * tableDr;\n\n // Pre-Final values\n const T0r = MAr + MCr;\n const T0i = MAi + MCi;\n const T1r = MAr - MCr;\n const T1i = MAi - MCi;\n const T2r = MBr + MDr;\n const T2i = MBi + MDi;\n const T3r = inv * (MBr - MDr);\n const T3i = inv * (MBi - MDi);\n\n // Final values\n out[A] = T0r + T2r;\n out[A + 1] = T0i + T2i;\n out[B] = T1r + T3i;\n out[B + 1] = T1i - T3r;\n\n // Output final middle point\n if (i === 0) {\n out[C] = T0r - T2r;\n out[C + 1] = T0i - T2i;\n continue;\n }\n\n // Do not overwrite ourselves\n if (i === hquarterLen)\n continue;\n\n const SA = outOff + quarterLen - i;\n const SB = outOff + halfLen - i;\n\n out[SA] = T1r - inv * T3i;\n out[SA + 1] = -T1i - inv * T3r;\n out[SB] = T0r - inv * T2r;\n out[SB + 1] = -T0i + inv * T2i;\n }\n }\n }\n\n // Complete the spectrum by adding its mirrored negative frequency components.\n const half = size >>> 1;\n for (let i = 2; i < half; i += 2) {\n out[size - i] = out[i];\n out[size - i + 1] = -out[i + 1];\n }\n }\n\n /**\n * Performs a single real input radix-2 transformation on the provided data\n * \n * @param {Float64Array} data The input data array\n * @param {Float64Array} out The output data array\n * @param {number} outOff The output offset\n * @param {number} off The input offset\n * @param {number} step The step\n * \n * @returns {void}\n */\n _singleRealTransform2(data, out, outOff, off, step) {\n // radix-2 implementation\n // NOTE: Only called for len=4\n\n const evenR = data[off];\n const oddR = data[off + step];\n\n out[outOff] = evenR + oddR;\n out[outOff + 1] = 0;\n out[outOff + 2] = evenR - oddR;\n out[outOff + 3] = 0;\n }\n\n /**\n * Computes a single real-valued transform using radix-4 algorithm.\n * This method is only called for len=8.\n *\n * @param {Float64Array} data The input data array.\n * @param {Float64Array} out The output data array.\n * @param {number} outOff The offset into the output array.\n * @param {number} off The offset into the input array.\n * @param {number} step The step size for the input array.\n * @param {number} inv The value of inverse.\n */\n _singleRealTransform4(data, out, outOff, off, step, inv) {\n // radix-4\n // NOTE: Only called for len=8\n const step2 = step * 2;\n const step3 = step * 3;\n\n // Original values\n const Ar = data[off];\n const Br = data[off + step];\n const Cr = data[off + step2];\n const Dr = data[off + step3];\n\n // Pre-Final values\n const T0r = Ar + Cr;\n const T1r = Ar - Cr;\n const T2r = Br + Dr;\n const T3r = inv * (Br - Dr);\n\n // Final values\n out[outOff] = T0r + T2r;\n out[outOff + 1] = 0;\n out[outOff + 2] = T1r;\n out[outOff + 3] = -T3r;\n out[outOff + 4] = T0r - T2r;\n out[outOff + 5] = 0;\n out[outOff + 6] = T1r;\n out[outOff + 7] = T3r;\n }\n}\n\n/**\n * NP2FFT class provides functionality for performing Fast Fourier Transform on arrays\n * which are not a power of two in length. In such cases, the chirp-z transform is used.\n * \n * For more information, see: https://math.stackexchange.com/questions/77118/non-power-of-2-ffts/77156#77156\n */\nclass NP2FFT {\n\n /**\n * Constructs a new NP2FFT object.\n * @param {number} fft_length The length of the FFT\n */\n constructor(fft_length) {\n // Helper variables\n const a = 2 * (fft_length - 1);\n const b = 2 * (2 * fft_length - 1);\n const nextP2 = 2 ** (Math.ceil(Math.log2(b)))\n this.bufferSize = nextP2;\n this._a = a;\n\n // Define buffers\n // Compute chirp for transform\n const chirp = new Float64Array(b);\n const ichirp = new Float64Array(nextP2);\n this._chirpBuffer = new Float64Array(nextP2);\n this._buffer1 = new Float64Array(nextP2);\n this._buffer2 = new Float64Array(nextP2);\n this._outBuffer1 = new Float64Array(nextP2);\n this._outBuffer2 = new Float64Array(nextP2);\n\n // Compute complex exponentiation\n const theta = -2 * Math.PI / fft_length;\n const baseR = Math.cos(theta);\n const baseI = Math.sin(theta);\n\n // Precompute helper for chirp-z transform\n for (let i = 0; i < b >> 1; ++i) {\n // Compute complex power:\n const e = (i + 1 - fft_length) ** 2 / 2.0;\n\n // Compute the modulus and argument of the result\n const result_mod = Math.sqrt(baseR ** 2 + baseI ** 2) ** e;\n const result_arg = e * Math.atan2(baseI, baseR);\n\n // Convert the result back to rectangular form\n // and assign to chirp and ichirp\n const i2 = 2 * i;\n chirp[i2] = result_mod * Math.cos(result_arg);\n chirp[i2 + 1] = result_mod * Math.sin(result_arg);\n\n // conjugate\n ichirp[i2] = chirp[i2];\n ichirp[i2 + 1] = - chirp[i2 + 1];\n }\n this._slicedChirpBuffer = chirp.subarray(a, b);\n\n // create object to perform Fast Fourier Transforms\n // with `nextP2` complex numbers\n this._f = new P2FFT(nextP2 >> 1);\n this._f.transform(this._chirpBuffer, ichirp);\n }\n\n _transform(output, input, real) {\n const ib1 = this._buffer1;\n const ib2 = this._buffer2;\n const ob2 = this._outBuffer1;\n const ob3 = this._outBuffer2;\n const cb = this._chirpBuffer;\n const sb = this._slicedChirpBuffer;\n const a = this._a;\n\n if (real) {\n // Real multiplication\n for (let j = 0; j < sb.length; j += 2) {\n const j2 = j + 1\n const j3 = j >> 1;\n\n const a_real = input[j3];\n ib1[j] = a_real * sb[j];\n ib1[j2] = a_real * sb[j2];\n }\n } else {\n // Complex multiplication\n for (let j = 0; j < sb.length; j += 2) {\n const j2 = j + 1\n ib1[j] = input[j] * sb[j] - input[j2] * sb[j2];\n ib1[j2] = input[j] * sb[j2] + input[j2] * sb[j];\n }\n }\n this._f.transform(ob2, ib1);\n\n for (let j = 0; j < cb.length; j += 2) {\n const j2 = j + 1;\n\n ib2[j] = ob2[j] * cb[j] - ob2[j2] * cb[j2];\n ib2[j2] = ob2[j] * cb[j2] + ob2[j2] * cb[j];\n }\n this._f.inverseTransform(ob3, ib2);\n\n for (let j = 0; j < ob3.length; j += 2) {\n const a_real = ob3[j + a];\n const a_imag = ob3[j + a + 1];\n const b_real = sb[j];\n const b_imag = sb[j + 1];\n\n output[j] = a_real * b_real - a_imag * b_imag;\n output[j + 1] = a_real * b_imag + a_imag * b_real;\n }\n }\n\n transform(output, input) {\n this._transform(output, input, false);\n }\n\n realTransform(output, input) {\n this._transform(output, input, true);\n }\n}\n\nexport class FFT {\n constructor(fft_length) {\n this.fft_length = fft_length;\n this.isPowerOfTwo = isPowerOfTwo(fft_length);\n if (this.isPowerOfTwo) {\n this.fft = new P2FFT(fft_length);\n this.outputBufferSize = 2 * fft_length;\n } else {\n this.fft = new NP2FFT(fft_length);\n this.outputBufferSize = this.fft.bufferSize;\n }\n }\n\n realTransform(out, input) {\n this.fft.realTransform(out, input);\n }\n\n transform(out, input) {\n this.fft.transform(out, input);\n }\n}\n\n\n/**\n * Performs median filter on the provided data. Padding is done by mirroring the data.\n * @param {AnyTypedArray} data The input array\n * @param {number} windowSize The window size\n */\nexport function medianFilter(data, windowSize) {\n\n if (windowSize % 2 === 0 || windowSize <= 0) {\n throw new Error('Window size must be a positive odd number');\n }\n\n // @ts-ignore\n const outputArray = new data.constructor(data.length);\n\n // @ts-ignore\n const buffer = new data.constructor(windowSize); // Reusable array for storing values\n\n const halfWindowSize = Math.floor(windowSize / 2);\n\n for (let i = 0; i < data.length; ++i) {\n let valuesIndex = 0;\n\n for (let j = -halfWindowSize; j <= halfWindowSize; ++j) {\n let index = i + j;\n if (index < 0) {\n index = Math.abs(index);\n } else if (index >= data.length) {\n index = 2 * (data.length - 1) - index;\n }\n\n buffer[valuesIndex++] = data[index];\n }\n\n buffer.sort();\n outputArray[i] = buffer[halfWindowSize];\n }\n\n return outputArray;\n}\n\n/**\n * Helper function to round a number to a given number of decimals\n * @param {number} num The number to round\n * @param {number} decimals The number of decimals\n * @returns {number} The rounded number\n */\nexport function round(num, decimals) {\n const pow = Math.pow(10, decimals);\n return Math.round(num * pow) / pow;\n}\n\n/**\n * Helper function to round a number to the nearest integer, with ties rounded to the nearest even number.\n * Also known as \"bankers' rounding\". This is the default rounding mode in python. For example:\n * 1.5 rounds to 2 and 2.5 rounds to 2.\n * \n * @param {number} x The number to round\n * @returns {number} The rounded number\n */\nexport function bankers_round(x) {\n const r = Math.round(x);\n const br = Math.abs(x) % 1 === 0.5 ? (r % 2 === 0 ? r : r - 1) : r;\n return br;\n}\n\n\n/**\n * Measures similarity between two temporal sequences (e.g., input audio and output tokens\n * to generate token-level timestamps).\n * @param {number[][]} matrix \n * @returns {number[][]}\n */\nexport function dynamic_time_warping(matrix) {\n const output_length = matrix.length;\n const input_length = matrix[0].length;\n\n const outputShape = [output_length + 1, input_length + 1];\n\n const cost = Array.from(\n { length: outputShape[0] },\n () => Array(outputShape[1]).fill(Infinity)\n );\n cost[0][0] = 0;\n\n const trace = Array.from(\n { length: outputShape[0] },\n () => Array(outputShape[1]).fill(-1)\n );\n\n for (let j = 1; j < outputShape[1]; ++j) {\n for (let i = 1; i < outputShape[0]; ++i) {\n const c0 = cost[i - 1][j - 1];\n const c1 = cost[i - 1][j];\n const c2 = cost[i][j - 1];\n\n let c, t;\n if (c0 < c1 && c0 < c2) {\n c = c0;\n t = 0;\n } else if (c1 < c0 && c1 < c2) {\n c = c1;\n t = 1;\n } else {\n c = c2;\n t = 2;\n }\n cost[i][j] = matrix[i - 1][j - 1] + c;\n trace[i][j] = t;\n }\n }\n\n for (let i = 0; i < outputShape[1]; ++i) { // trace[0, :] = 2\n trace[0][i] = 2;\n }\n for (let i = 0; i < outputShape[0]; ++i) { // trace[:, 0] = 1\n trace[i][0] = 1;\n }\n\n // backtrace\n let i = output_length;\n let j = input_length;\n let text_indices = [];\n let time_indices = [];\n while (i > 0 || j > 0) {\n text_indices.push(i - 1);\n time_indices.push(j - 1);\n\n switch (trace[i][j]) {\n case 0:\n --i; --j;\n break;\n case 1:\n --i;\n break;\n case 2:\n --j;\n break;\n default:\n throw new Error(\n `Internal error in dynamic time warping. Unexpected trace[${i}, ${j}]. Please file a bug report.`\n )\n }\n }\n\n text_indices.reverse();\n time_indices.reverse();\n\n return [text_indices, time_indices];\n\n}\n", "/**\n * @file Helper module for `Tensor` processing.\n *\n * These functions and classes are only used internally,\n * meaning an end-user shouldn't need to access anything here.\n *\n * @module utils/tensor\n */\n\nimport {\n interpolate_data,\n max,\n min,\n permute_data\n} from './maths.js';\n\nimport {\n Tensor as ONNXTensor, isONNXTensor,\n} from '../backends/onnx.js';\n\nimport { TensorOpRegistry } from '../ops/registry.js';\n\nconst DataTypeMap = Object.freeze({\n float32: Float32Array,\n float16: Uint16Array,\n float64: Float64Array,\n string: Array, // string[]\n int8: Int8Array,\n uint8: Uint8Array,\n int16: Int16Array,\n uint16: Uint16Array,\n int32: Int32Array,\n uint32: Uint32Array,\n int64: BigInt64Array,\n uint64: BigUint64Array,\n bool: Uint8Array,\n uint4: Uint8Array,\n int4: Int8Array,\n});\n\n/**\n * @typedef {keyof typeof DataTypeMap} DataType\n * @typedef {import('./maths.js').AnyTypedArray | any[]} DataArray\n */\n\n\nexport class Tensor {\n /** @type {number[]} Dimensions of the tensor. */\n get dims() {\n // @ts-ignore\n return this.ort_tensor.dims;\n }\n set dims(value) {\n // FIXME: ONNXTensor declares dims as readonly so one needs to use the constructor() if dims change.\n // @ts-ignore\n this.ort_tensor.dims = value;\n }\n\n /** @type {DataType} Type of the tensor. */\n get type() {\n return this.ort_tensor.type;\n };\n\n /** @type {DataArray} The data stored in the tensor. */\n get data() {\n return this.ort_tensor.data;\n }\n\n /** @type {number} The number of elements in the tensor. */\n get size() {\n return this.ort_tensor.size;\n };\n\n /** @type {string} The location of the tensor data. */\n get location() {\n return this.ort_tensor.location;\n };\n\n ort_tensor;\n\n /**\n * Create a new Tensor or copy an existing Tensor.\n * @param {[DataType, DataArray, number[]]|[ONNXTensor]} args\n */\n constructor(...args) {\n if (isONNXTensor(args[0])) {\n this.ort_tensor = /** @type {ONNXTensor} */ (args[0]);\n } else {\n // Create new tensor\n this.ort_tensor = new ONNXTensor(\n /** @type {DataType} */(args[0]),\n /** @type {Exclude<import('./maths.js').AnyTypedArray, Uint8ClampedArray>} */(args[1]),\n args[2]\n );\n }\n\n return new Proxy(this, {\n get: (obj, key) => {\n if (typeof key === 'string') {\n let index = Number(key);\n if (Number.isInteger(index)) {\n // key is an integer (i.e., index)\n return obj._getitem(index);\n }\n }\n // @ts-ignore\n return obj[key];\n },\n set: (obj, key, value) => {\n // TODO allow setting of data\n\n // @ts-ignore\n return obj[key] = value;\n }\n });\n }\n\n dispose() {\n this.ort_tensor.dispose();\n // this.ort_tensor = undefined;\n }\n\n /**\n * Returns an iterator object for iterating over the tensor data in row-major order.\n * If the tensor has more than one dimension, the iterator will yield subarrays.\n * @returns {Iterator} An iterator object for iterating over the tensor data in row-major order.\n */\n *[Symbol.iterator]() {\n const [iterLength, ...iterDims] = this.dims;\n\n if (iterDims.length > 0) {\n const iterSize = iterDims.reduce((a, b) => a * b);\n for (let i = 0; i < iterLength; ++i) {\n yield this._subarray(i, iterSize, iterDims);\n }\n } else {\n yield* this.data\n }\n\n }\n\n /**\n * Index into a Tensor object.\n * @param {number} index The index to access.\n * @returns {Tensor} The data at the specified index.\n */\n _getitem(index) {\n const [iterLength, ...iterDims] = this.dims;\n\n index = safeIndex(index, iterLength);\n\n if (iterDims.length > 0) {\n const iterSize = iterDims.reduce((a, b) => a * b);\n return this._subarray(index, iterSize, iterDims);\n } else {\n return new Tensor(this.type, [this.data[index]], iterDims);\n }\n }\n\n /**\n * @param {number|bigint} item The item to search for in the tensor\n * @returns {number} The index of the first occurrence of item in the tensor data.\n */\n indexOf(item) {\n const this_data = this.data;\n for (let index = 0; index < this_data.length; ++index) {\n // Note: == instead of === so we can match Ints with BigInts\n if (this_data[index] == item) {\n return index;\n }\n }\n return -1;\n }\n\n /**\n * @param {number} index\n * @param {number} iterSize\n * @param {any} iterDims\n * @returns {Tensor}\n */\n _subarray(index, iterSize, iterDims) {\n const o1 = index * iterSize;\n const o2 = (index + 1) * iterSize;\n\n // We use subarray if available (typed array), otherwise we use slice (normal array)\n const data =\n ('subarray' in this.data)\n ? this.data.subarray(o1, o2)\n : this.data.slice(o1, o2);\n return new Tensor(this.type, data, iterDims);\n }\n\n /**\n * Returns the value of this tensor as a standard JavaScript Number. This only works\n * for tensors with one element. For other cases, see `Tensor.tolist()`.\n * @returns {number|bigint} The value of this tensor as a standard JavaScript Number.\n * @throws {Error} If the tensor has more than one element.\n */\n item() {\n const this_data = this.data;\n if (this_data.length !== 1) {\n throw new Error(`a Tensor with ${this_data.length} elements cannot be converted to Scalar`);\n }\n return this_data[0];\n }\n\n /**\n * Convert tensor data to a n-dimensional JS list\n * @returns {Array}\n */\n tolist() {\n return reshape(this.data, this.dims)\n }\n\n /**\n * Return a new Tensor with the sigmoid function applied to each element.\n * @returns {Tensor} The tensor with the sigmoid function applied.\n */\n sigmoid() {\n return this.clone().sigmoid_();\n }\n\n /**\n * Applies the sigmoid function to the tensor in place.\n * @returns {Tensor} Returns `this`.\n */\n sigmoid_() {\n const this_data = this.data;\n for (let i = 0; i < this_data.length; ++i) {\n this_data[i] = 1 / (1 + Math.exp(-this_data[i]));\n }\n return this;\n }\n\n /**\n * Return a new Tensor with a callback function applied to each element.\n * @param {Function} callback - The function to apply to each element. It should take three arguments:\n * the current element, its index, and the tensor's data array.\n * @returns {Tensor} A new Tensor with the callback function applied to each element.\n */\n map(callback) {\n return this.clone().map_(callback);\n }\n\n /**\n * Apply a callback function to each element of the tensor in place.\n * @param {Function} callback - The function to apply to each element. It should take three arguments:\n * the current element, its index, and the tensor's data array.\n * @returns {Tensor} Returns `this`.\n */\n map_(callback) {\n const this_data = this.data;\n for (let i = 0; i < this_data.length; ++i) {\n this_data[i] = callback(this_data[i], i, this_data);\n }\n return this;\n }\n\n /**\n * Return a new Tensor with every element multiplied by a constant.\n * @param {number} val The value to multiply by.\n * @returns {Tensor} The new tensor.\n */\n mul(val) {\n return this.clone().mul_(val);\n }\n\n /**\n * Multiply the tensor by a constant in place.\n * @param {number} val The value to multiply by.\n * @returns {Tensor} Returns `this`.\n */\n mul_(val) {\n const this_data = this.data;\n for (let i = 0; i < this_data.length; ++i) {\n this_data[i] *= val;\n }\n return this;\n }\n\n /**\n * Return a new Tensor with every element divided by a constant.\n * @param {number} val The value to divide by.\n * @returns {Tensor} The new tensor.\n */\n div(val) {\n return this.clone().div_(val);\n }\n\n /**\n * Divide the tensor by a constant in place.\n * @param {number} val The value to divide by.\n * @returns {Tensor} Returns `this`.\n */\n div_(val) {\n const this_data = this.data;\n for (let i = 0; i < this_data.length; ++i) {\n this_data[i] /= val;\n }\n return this;\n }\n\n /**\n * Return a new Tensor with every element added by a constant.\n * @param {number} val The value to add by.\n * @returns {Tensor} The new tensor.\n */\n add(val) {\n return this.clone().add_(val);\n }\n\n /**\n * Add the tensor by a constant in place.\n * @param {number} val The value to add by.\n * @returns {Tensor} Returns `this`.\n */\n add_(val) {\n const this_data = this.data;\n for (let i = 0; i < this_data.length; ++i) {\n this_data[i] += val;\n }\n return this;\n }\n\n /**\n * Return a new Tensor with every element subtracted by a constant.\n * @param {number} val The value to subtract by.\n * @returns {Tensor} The new tensor.\n */\n sub(val) {\n return this.clone().sub_(val);\n }\n\n /**\n * Subtract the tensor by a constant in place.\n * @param {number} val The value to subtract by.\n * @returns {Tensor} Returns `this`.\n */\n sub_(val) {\n const this_data = this.data;\n for (let i = 0; i < this_data.length; ++i) {\n this_data[i] -= val;\n }\n return this;\n }\n\n /**\n * Creates a deep copy of the current Tensor.\n * @returns {Tensor} A new Tensor with the same type, data, and dimensions as the original.\n */\n clone() {\n return new Tensor(this.type, this.data.slice(), this.dims.slice());\n }\n\n /**\n * Performs a slice operation on the Tensor along specified dimensions.\n *\n * Consider a Tensor that has a dimension of [4, 7]:\n * ```\n * [ 1, 2, 3, 4, 5, 6, 7]\n * [ 8, 9, 10, 11, 12, 13, 14]\n * [15, 16, 17, 18, 19, 20, 21]\n * [22, 23, 24, 25, 26, 27, 28]\n * ```\n * We can slice against the two dims of row and column, for instance in this\n * case we can start at the second element, and return to the second last,\n * like this:\n * ```\n * tensor.slice([1, -1], [1, -1]);\n * ```\n * which would return:\n * ```\n * [ 9, 10, 11, 12, 13 ]\n * [ 16, 17, 18, 19, 20 ]\n * ```\n *\n * @param {...(number|number[]|null)} slices The slice specifications for each dimension.\n * - If a number is given, then a single element is selected.\n * - If an array of two numbers is given, then a range of elements [start, end (exclusive)] is selected.\n * - If null is given, then the entire dimension is selected.\n * @returns {Tensor} A new Tensor containing the selected elements.\n * @throws {Error} If the slice input is invalid.\n */\n slice(...slices) {\n // This allows for slicing with ranges and numbers\n const newTensorDims = [];\n const newOffsets = [];\n\n // slices is an array of numbers or arrays of numbers\n // e.g., slices = [0, [1, 3], null, [0, 3]]\n for (let sliceIndex = 0; sliceIndex < this.dims.length; ++sliceIndex) {\n let slice = slices[sliceIndex];\n\n if (slice === null || slice === undefined) {\n // null or undefined means take the whole dimension\n newOffsets.push([0, this.dims[sliceIndex]]);\n newTensorDims.push(this.dims[sliceIndex]);\n\n } else if (typeof slice === 'number') {\n slice = safeIndex(slice, this.dims[sliceIndex], sliceIndex);\n\n // A number means take a single element\n newOffsets.push([slice, slice + 1]);\n\n } else if (Array.isArray(slice) && slice.length === 2) {\n // An array of length 2 means take a range of elements\n let [start, end] = slice;\n start = start === null\n ? 0\n : safeIndex(start, this.dims[sliceIndex], sliceIndex, false);\n end = end === null\n ? this.dims[sliceIndex]\n : safeIndex(end, this.dims[sliceIndex], sliceIndex, false);\n\n if (start > end) {\n throw new Error(`Invalid slice: ${slice}`);\n }\n\n const offsets = [\n Math.max(start, 0),\n Math.min(end, this.dims[sliceIndex])\n ];\n\n newOffsets.push(offsets);\n newTensorDims.push(offsets[1] - offsets[0]);\n\n } else {\n throw new Error(`Invalid slice: ${slice}`);\n }\n }\n\n const newDims = newOffsets.map(([start, end]) => end - start);\n const newBufferSize = newDims.reduce((a, b) => a * b);\n\n const this_data = this.data;\n // Allocate memory\n // @ts-ignore\n const data = new this_data.constructor(newBufferSize);\n\n // Precompute strides\n const stride = this.stride();\n\n for (let i = 0; i < newBufferSize; ++i) {\n let originalIndex = 0;\n for (let j = newDims.length - 1, num = i; j >= 0; --j) {\n const size = newDims[j];\n originalIndex += ((num % size) + newOffsets[j][0]) * stride[j];\n num = Math.floor(num / size);\n }\n data[i] = this_data[originalIndex];\n }\n return new Tensor(this.type, data, newTensorDims);\n }\n\n /**\n * Return a permuted version of this Tensor, according to the provided dimensions.\n * @param {...number} dims Dimensions to permute.\n * @returns {Tensor} The permuted tensor.\n */\n permute(...dims) {\n return permute(this, dims);\n }\n\n // TODO: implement transpose. For now (backwards compatibility), it's just an alias for permute()\n transpose(...dims) {\n return this.permute(...dims);\n }\n\n /**\n * Returns the sum of each row of the input tensor in the given dimension dim.\n *\n * @param {number} [dim=null] The dimension or dimensions to reduce. If `null`, all dimensions are reduced.\n * @param {boolean} keepdim Whether the output tensor has `dim` retained or not.\n * @returns The summed tensor\n */\n sum(dim = null, keepdim = false) {\n return this.norm(1, dim, keepdim);\n }\n\n /**\n * Returns the matrix norm or vector norm of a given tensor.\n * @param {number|string} [p='fro'] The order of norm\n * @param {number} [dim=null] Specifies which dimension of the tensor to calculate the norm across.\n * If dim is None, the norm will be calculated across all dimensions of input.\n * @param {boolean} [keepdim=false] Whether the output tensors have dim retained or not.\n * @returns {Tensor} The norm of the tensor.\n */\n norm(p = 'fro', dim = null, keepdim = false) {\n if (p === 'fro') {\n // NOTE: Since we only support integer dims, Frobenius norm produces the same result as p=2.\n p = 2;\n } else if (typeof p === 'string') {\n throw Error(`Unsupported norm: ${p}`);\n }\n\n const this_data = this.data;\n const fn = (a, b) => a + (b ** p);\n\n if (dim === null) {\n // @ts-ignore\n const val = this_data.reduce(fn, 0) ** (1 / p);\n return new Tensor(this.type, [val], []);\n }\n\n const [type, result, resultDims] = reduce_helper(fn, this, dim, keepdim);\n\n if (p !== 1) {\n for (let i = 0; i < result.length; ++i) {\n result[i] = result[i] ** (1 / p);\n }\n }\n return new Tensor(type, result, resultDims);\n }\n\n /**\n * Performs `L_p` normalization of inputs over specified dimension. Operates in place.\n * @param {number} [p=2] The exponent value in the norm formulation\n * @param {number} [dim=1] The dimension to reduce\n * @returns {Tensor} `this` for operation chaining.\n */\n normalize_(p = 2.0, dim = 1) {\n dim = safeIndex(dim, this.dims.length);\n\n const norm = this.norm(p, dim, true);\n\n const this_data = this.data;\n const norm_data = norm.data;\n for (let i = 0; i < this_data.length; ++i) {\n\n // Calculate the index in the resulting array\n let resultIndex = 0;\n\n for (let j = this.dims.length - 1, num = i, resultMultiplier = 1; j >= 0; --j) {\n const size = this.dims[j];\n if (j !== dim) {\n const index = num % size;\n resultIndex += index * resultMultiplier;\n resultMultiplier *= this.dims[j];\n }\n num = Math.floor(num / size);\n }\n\n // Divide by normalized value\n this_data[i] /= norm_data[resultIndex];\n }\n\n return this;\n }\n\n /**\n * Performs `L_p` normalization of inputs over specified dimension.\n * @param {number} [p=2] The exponent value in the norm formulation\n * @param {number} [dim=1] The dimension to reduce\n * @returns {Tensor} The normalized tensor.\n */\n normalize(p = 2.0, dim = 1) {\n return this.clone().normalize_(p, dim);\n }\n\n /**\n * Compute and return the stride of this tensor.\n * Stride is the jump necessary to go from one element to the next one in the specified dimension dim.\n * @returns {number[]} The stride of this tensor.\n */\n stride() {\n return dimsToStride(this.dims);\n }\n\n /**\n * Returns a tensor with all specified dimensions of input of size 1 removed.\n *\n * NOTE: The returned tensor shares the storage with the input tensor, so changing the contents of one will change the contents of the other.\n * If you would like a copy, use `tensor.clone()` before squeezing.\n *\n * @param {number|number[]} [dim=null] If given, the input will be squeezed only in the specified dimensions.\n * @returns {Tensor} The squeezed tensor\n */\n squeeze(dim = null) {\n return new Tensor(\n this.type,\n this.data,\n calc_squeeze_dims(this.dims, dim)\n )\n }\n\n /**\n * In-place version of @see {@link Tensor.squeeze}\n */\n squeeze_(dim = null) {\n this.dims = calc_squeeze_dims(this.dims, dim);\n return this;\n }\n\n /**\n * Returns a new tensor with a dimension of size one inserted at the specified position.\n *\n * NOTE: The returned tensor shares the same underlying data with this tensor.\n *\n * @param {number} dim The index at which to insert the singleton dimension\n * @returns {Tensor} The unsqueezed tensor\n */\n unsqueeze(dim = null) {\n return new Tensor(\n this.type,\n this.data,\n calc_unsqueeze_dims(this.dims, dim)\n );\n }\n\n /**\n * In-place version of @see {@link Tensor.unsqueeze}\n */\n unsqueeze_(dim = null) {\n this.dims = calc_unsqueeze_dims(this.dims, dim);\n return this;\n }\n\n /**\n * In-place version of @see {@link Tensor.flatten}\n */\n flatten_(start_dim = 0, end_dim = -1) {\n // TODO validate inputs\n end_dim = (end_dim + this.dims.length) % this.dims.length;\n\n let dimsToKeepBefore = this.dims.slice(0, start_dim);\n let dimsToFlatten = this.dims.slice(start_dim, end_dim + 1);\n let dimsToKeepAfter = this.dims.slice(end_dim + 1);\n\n this.dims = [...dimsToKeepBefore, dimsToFlatten.reduce((a, b) => a * b, 1), ...dimsToKeepAfter]\n return this;\n }\n\n /**\n * Flattens input by reshaping it into a one-dimensional tensor.\n * If `start_dim` or `end_dim` are passed, only dimensions starting with `start_dim`\n * and ending with `end_dim` are flattened. The order of elements in input is unchanged.\n * @param {number} start_dim the first dim to flatten\n * @param {number} end_dim the last dim to flatten\n * @returns {Tensor} The flattened tensor.\n */\n flatten(start_dim = 0, end_dim = -1) {\n return this.clone().flatten_(start_dim, end_dim);\n }\n\n /**\n * Returns a new tensor with the same data as the `self` tensor but of a different `shape`.\n * @param {...number} dims the desired size\n * @returns {Tensor} The tensor with the same data but different shape\n */\n view(...dims) {\n // TODO: validate dims\n let inferredIndex = -1;\n for (let i = 0; i < dims.length; ++i) {\n if (dims[i] === -1) {\n if (inferredIndex !== -1) {\n throw new Error(\"Only one dimension can be inferred\");\n }\n inferredIndex = i;\n }\n }\n\n const this_data = this.data;\n if (inferredIndex !== -1) {\n // Some dimension must be inferred\n const productOther = dims.reduce((product, curr, index) => {\n return index !== inferredIndex ? product * curr : product\n }, 1);\n\n dims[inferredIndex] = this_data.length / productOther;\n }\n return new Tensor(this.type, this_data, dims); // NOTE: uses same underlying storage\n }\n\n neg_() {\n const this_data = this.data;\n for (let i = 0; i < this_data.length; ++i) {\n this_data[i] = -this_data[i];\n }\n return this;\n }\n neg() {\n return this.clone().neg_();\n }\n\n /**\n * Computes input > val element-wise.\n * @param {number} val The value to compare with.\n * @returns {Tensor} A boolean tensor that is `true` where input is greater than other and `false` elsewhere.\n */\n gt(val) {\n const mask = new Uint8Array(this.data.length);\n const this_data = this.data;\n for (let i = 0; i < this_data.length; ++i) {\n mask[i] = this_data[i] > val ? 1 : 0;\n }\n return new Tensor('bool', mask, this.dims);\n }\n\n /**\n * Computes input < val element-wise.\n * @param {number} val The value to compare with.\n * @returns {Tensor} A boolean tensor that is `true` where input is less than other and `false` elsewhere.\n */\n lt(val) {\n const mask = new Uint8Array(this.data.length);\n const this_data = this.data;\n for (let i = 0; i < this_data.length; ++i) {\n mask[i] = this_data[i] < val ? 1 : 0;\n }\n return new Tensor('bool', mask, this.dims);\n }\n\n /**\n * In-place version of @see {@link Tensor.clamp}\n */\n clamp_(min, max) {\n const this_data = this.data;\n for (let i = 0; i < this_data.length; ++i) {\n this_data[i] = Math.min(Math.max(this_data[i], min), max);\n }\n return this;\n }\n\n /**\n * Clamps all elements in input into the range [ min, max ]\n * @param {number} min lower-bound of the range to be clamped to\n * @param {number} max upper-bound of the range to be clamped to\n * @returns {Tensor} the output tensor.\n */\n clamp(min, max) {\n return this.clone().clamp_(min, max);\n }\n\n /**\n * In-place version of @see {@link Tensor.round}\n */\n round_() {\n const this_data = this.data;\n for (let i = 0; i < this_data.length; ++i) {\n this_data[i] = Math.round(this_data[i]);\n }\n return this;\n }\n\n /**\n * Rounds elements of input to the nearest integer.\n * @returns {Tensor} the output tensor.\n */\n round() {\n return this.clone().round_();\n }\n\n mean(dim = null, keepdim = false) {\n return mean(this, dim, keepdim);\n }\n\n min(dim = null, keepdim = false) {\n if (dim === null) {\n // None to reduce over all dimensions.\n const val = min(this.data)[0];\n return new Tensor(this.type, [val], [/* scalar */]);\n }\n const [type, result, resultDims] = reduce_helper((a, b) => Math.min(a, b), this, dim, keepdim, Infinity);\n return new Tensor(type, result, resultDims);\n }\n\n max(dim = null, keepdim = false) {\n if (dim === null) {\n // None to reduce over all dimensions.\n const val = max(this.data)[0];\n return new Tensor(this.type, [val], [/* scalar */]);\n }\n const [type, result, resultDims] = reduce_helper((a, b) => Math.max(a, b), this, dim, keepdim, -Infinity);\n return new Tensor(type, result, resultDims);\n }\n\n argmin(dim = null, keepdim = false) {\n if (dim !== null) {\n throw new Error(\"`dim !== null` not yet implemented.\");\n }\n const index = min(this.data)[1];\n return new Tensor('int64', [BigInt(index)], []);\n }\n argmax(dim = null, keepdim = false) {\n if (dim !== null) {\n throw new Error(\"`dim !== null` not yet implemented.\");\n }\n const index = max(this.data)[1];\n return new Tensor('int64', [BigInt(index)], []);\n }\n\n /**\n * Performs Tensor dtype conversion.\n * @param {DataType} type The desired data type.\n * @returns {Tensor} The converted tensor.\n */\n to(type) {\n // If the self Tensor already has the correct dtype, then self is returned.\n if (this.type === type) return this;\n\n // Otherwise, the returned tensor is a copy of self with the desired dtype.\n if (!DataTypeMap.hasOwnProperty(type)) {\n throw new Error(`Unsupported type: ${type}`);\n }\n\n // Handle special cases where a mapping function is needed (e.g., where one type is a bigint and the other is a number)\n let map_fn;\n const is_source_bigint = ['int64', 'uint64'].includes(this.type);\n const is_dest_bigint = ['int64', 'uint64'].includes(type);\n if (is_source_bigint && !is_dest_bigint) {\n // TypeError: Cannot convert a BigInt value to a number\n map_fn = Number;\n } else if (!is_source_bigint && is_dest_bigint) {\n // TypeError: Cannot convert [x] to a BigInt\n map_fn = BigInt;\n }\n\n // @ts-ignore\n return new Tensor(type, DataTypeMap[type].from(this.data, map_fn), this.dims);\n }\n}\n\n/**\n * This creates a nested array of a given type and depth (see examples).\n *\n * @example\n * NestArray<string, 1>; // string[]\n * @example\n * NestArray<number, 2>; // number[][]\n * @example\n * NestArray<string, 3>; // string[][][] etc.\n * @template T\n * @template {number} Depth\n * @template {never[]} [Acc=[]]\n * @typedef {Acc['length'] extends Depth ? T : NestArray<T[], Depth, [...Acc, never]>} NestArray\n */\n\n/**\n * Reshapes a 1-dimensional array into an n-dimensional array, according to the provided dimensions.\n *\n * @example\n * reshape([10 ], [1 ]); // Type: number[] Value: [10]\n * reshape([1, 2, 3, 4 ], [2, 2 ]); // Type: number[][] Value: [[1, 2], [3, 4]]\n * reshape([1, 2, 3, 4, 5, 6, 7, 8], [2, 2, 2]); // Type: number[][][] Value: [[[1, 2], [3, 4]], [[5, 6], [7, 8]]]\n * reshape([1, 2, 3, 4, 5, 6, 7, 8], [4, 2 ]); // Type: number[][] Value: [[1, 2], [3, 4], [5, 6], [7, 8]]\n * @param {T[]|DataArray} data The input array to reshape.\n * @param {DIM} dimensions The target shape/dimensions.\n * @template T\n * @template {[number]|number[]} DIM\n * @returns {NestArray<T, DIM[\"length\"]>} The reshaped array.\n */\nfunction reshape(data, dimensions) {\n\n const totalElements = data.length;\n const dimensionSize = dimensions.reduce((a, b) => a * b);\n\n if (totalElements !== dimensionSize) {\n throw Error(`cannot reshape array of size ${totalElements} into shape (${dimensions})`);\n }\n\n /** @type {any} */\n let reshapedArray = data;\n\n for (let i = dimensions.length - 1; i >= 0; i--) {\n reshapedArray = reshapedArray.reduce((acc, val) => {\n let lastArray = acc[acc.length - 1];\n\n if (lastArray.length < dimensions[i]) {\n lastArray.push(val);\n } else {\n acc.push([val]);\n }\n\n return acc;\n }, [[]]);\n }\n\n return reshapedArray[0];\n}\n\n/**\n * Permutes a tensor according to the provided axes.\n * @param {any} tensor The input tensor to permute.\n * @param {Array} axes The axes to permute the tensor along.\n * @returns {Tensor} The permuted tensor.\n */\nexport function permute(tensor, axes) {\n const [permutedData, shape] = permute_data(tensor.data, tensor.dims, axes);\n return new Tensor(tensor.type, permutedData, shape);\n}\n\n\n/**\n * Interpolates an Tensor to the given size.\n * @param {Tensor} input The input tensor to interpolate. Data must be channel-first (i.e., [c, h, w])\n * @param {number[]} size The output size of the image\n * @param {string} mode The interpolation mode\n * @param {boolean} align_corners Whether to align corners.\n * @returns {Tensor} The interpolated tensor.\n */\nexport function interpolate(input, [out_height, out_width], mode = 'bilinear', align_corners = false) {\n\n // Input image dimensions\n const in_channels = input.dims.at(-3) ?? 1;\n const in_height = input.dims.at(-2);\n const in_width = input.dims.at(-1);\n\n let output = interpolate_data(\n /** @type {import('./maths.js').TypedArray}*/(input.data),\n [in_channels, in_height, in_width],\n [out_height, out_width],\n mode,\n align_corners\n );\n return new Tensor(input.type, output, [in_channels, out_height, out_width]);\n}\n\n\n/**\n * Down/up samples the input.\n * Inspired by https://pytorch.org/docs/stable/generated/torch.nn.functional.interpolate.html.\n * @param {Tensor} input the input tensor\n * @param {Object} options the options for the interpolation\n * @param {[number, number]|[number, number, number]|[number, number, number, number]} [options.size=null] output spatial size.\n * @param {\"nearest\"|\"bilinear\"|\"bicubic\"} [options.mode='bilinear'] algorithm used for upsampling\n * @returns {Promise<Tensor>} The interpolated tensor.\n */\nexport async function interpolate_4d(input, {\n size = null,\n mode = 'bilinear',\n} = {}) {\n\n // Error checking\n if (input.dims.length !== 4) {\n throw new Error('`interpolate_4d` currently only supports 4D input.');\n }\n if (!size) {\n // TODO: support scale_factor\n throw new Error('`interpolate_4d` requires a `size` argument.');\n }\n\n // Fill in missing dimensions\n let targetDims;\n if (size.length === 2) {\n targetDims = [...input.dims.slice(0, 2), ...size];\n } else if (size.length === 3) {\n targetDims = [input.dims[0], ...size];\n } else if (size.length === 4) {\n targetDims = size;\n } else {\n throw new Error('`size` must be of length 2, 3, or 4.');\n }\n\n let op;\n if (mode === 'nearest') {\n op = await TensorOpRegistry.nearest_interpolate_4d;\n } else if (mode === 'bilinear') {\n op = await TensorOpRegistry.bilinear_interpolate_4d;\n } else if (mode === 'bicubic') {\n op = await TensorOpRegistry.bicubic_interpolate_4d;\n } else {\n throw new Error(`Unsupported mode: ${mode}`);\n }\n\n const sizeTensor = new Tensor('int64', new BigInt64Array(targetDims.map(BigInt)), [targetDims.length]);\n return await op({ x: input, s: sizeTensor });\n}\n\n/**\n * Matrix product of two tensors.\n * Inspired by https://pytorch.org/docs/stable/generated/torch.matmul.html\n * @param {Tensor} a the first tensor to be multiplied\n * @param {Tensor} b the second tensor to be multiplied\n * @returns {Promise<Tensor>} The matrix product of the two tensors.\n */\nexport async function matmul(a, b) {\n const op = await TensorOpRegistry.matmul;\n return await op({ a, b });\n}\n\n/**\n * Computes the one dimensional Fourier transform of real-valued input.\n * Inspired by https://pytorch.org/docs/stable/generated/torch.fft.rfft.html\n * @param {Tensor} x the real input tensor\n * @param {Tensor} a The dimension along which to take the one dimensional real FFT.\n * @returns {Promise<Tensor>} the output tensor.\n */\nexport async function rfft(x, a) {\n const op = await TensorOpRegistry.rfft;\n return await op({ x, a });\n}\n\n\n/**\n * Returns the k largest elements of the given input tensor.\n * Inspired by https://pytorch.org/docs/stable/generated/torch.topk.html\n * @param {Tensor} x the input tensor\n * @param {number} [k] the k in \"top-k\"\n * @returns {Promise<[Tensor, Tensor]>} the output tuple of (Tensor, LongTensor) of top-k elements and their indices.\n */\nexport async function topk(x, k) {\n const op = await TensorOpRegistry.top_k;\n\n if (k == null) {\n k = x.dims.at(-1);\n } else {\n k = Math.min(k, x.dims.at(-1));\n }\n return await op({\n x,\n k: new Tensor(\n 'int64',\n [BigInt(k)],\n [1]\n )\n });\n}\n\n\nconst arrayToIndexTensor = (array) => new Tensor('int64', array, [array.length]);\n/**\n * Slice a multidimensional float32 tensor.\n * @param {Tensor} data: Tensor of data to extract slices from\n * @param {number[]} starts: 1-D array of starting indices of corresponding axis in axes\n * @param {number[]} ends: 1-D array of ending indices (exclusive) of corresponding axis in axes\n * @param {number[]} axes: 1-D array of axes that starts and ends apply to\n * @param {number[]} [steps]: 1-D array of slice step of corresponding axis in axes.\n * @returns {Promise<Tensor>} Sliced data tensor.\n */\nexport async function slice(data, starts, ends, axes, steps) {\n const op = await TensorOpRegistry.slice;\n return await op({\n x: data,\n s: arrayToIndexTensor(starts),\n e: arrayToIndexTensor(ends),\n a: arrayToIndexTensor(axes),\n t: arrayToIndexTensor(steps ?? new Array(axes.length).fill(1)),\n });\n}\n\n\n/**\n * Perform mean pooling of the last hidden state followed by a normalization step.\n * @param {Tensor} last_hidden_state Tensor of shape [batchSize, seqLength, embedDim]\n * @param {Tensor} attention_mask Tensor of shape [batchSize, seqLength]\n * @returns {Tensor} Returns a new Tensor of shape [batchSize, embedDim].\n */\nexport function mean_pooling(last_hidden_state, attention_mask) {\n // last_hidden_state: [batchSize, seqLength, embedDim]\n // attention_mask: [batchSize, seqLength]\n const lastHiddenStateData = last_hidden_state.data;\n const attentionMaskData = attention_mask.data;\n\n const shape = [last_hidden_state.dims[0], last_hidden_state.dims[2]];\n\n // @ts-ignore\n const returnedData = new lastHiddenStateData.constructor(shape[0] * shape[1]);\n const [batchSize, seqLength, embedDim] = last_hidden_state.dims;\n\n let outIndex = 0;\n for (let i = 0; i < batchSize; ++i) {\n const offset = i * embedDim * seqLength;\n\n for (let k = 0; k < embedDim; ++k) {\n let sum = 0;\n let count = 0;\n\n const attnMaskOffset = i * seqLength;\n const offset2 = offset + k;\n // Pool over all words in sequence\n for (let j = 0; j < seqLength; ++j) {\n // index into attention mask\n const attn = Number(attentionMaskData[attnMaskOffset + j]);\n\n count += attn;\n sum += lastHiddenStateData[offset2 + j * embedDim] * attn;\n }\n\n const avg = sum / count;\n returnedData[outIndex++] = avg;\n }\n }\n\n return new Tensor(\n last_hidden_state.type,\n returnedData,\n shape\n )\n}\n\n/**\n * Apply Layer Normalization for last certain number of dimensions.\n * @param {Tensor} input The input tensor\n * @param {number[]} normalized_shape input shape from an expected input of size\n * @param {Object} options The options for the layer normalization\n * @param {number} [options.eps=1e-5] A value added to the denominator for numerical stability.\n * @returns {Tensor} The normalized tensor.\n */\nexport function layer_norm(input, normalized_shape, {\n eps = 1e-5,\n} = {}) {\n if (input.dims.length !== 2) {\n throw new Error('`layer_norm` currently only supports 2D input.');\n }\n\n const [batchSize, featureDim] = input.dims;\n\n if (normalized_shape.length !== 1 && normalized_shape[0] !== featureDim) {\n throw new Error('`normalized_shape` must be a 1D array with shape `[input.dims[1]]`.');\n }\n\n const [std, mean] = std_mean(input, 1, 0, true);\n const stdData = /** @type {Float32Array} */(std.data);\n const meanData = /** @type {Float32Array} */(mean.data);\n\n const inputData = /** @type {Float32Array} */(input.data);\n\n // @ts-ignore\n const returnedData = new inputData.constructor(inputData.length);\n\n for (let i = 0; i < batchSize; ++i) {\n const offset = i * featureDim;\n for (let j = 0; j < featureDim; ++j) {\n const offset2 = offset + j;\n returnedData[offset2] = (inputData[offset2] - meanData[i]) / (stdData[i] + eps);\n }\n }\n return new Tensor(input.type, returnedData, input.dims);\n}\n\n/**\n * Helper function to calculate new dimensions when performing a squeeze operation.\n * @param {number[]} dims The dimensions of the tensor.\n * @param {number|number[]|null} dim The dimension(s) to squeeze.\n * @returns {number[]} The new dimensions.\n * @private\n */\nfunction calc_squeeze_dims(dims, dim) {\n dims = dims.slice();\n if (dim === null) {\n dims = dims.filter((d) => d !== 1);\n } else if (typeof dim === 'number') {\n if (dims[dim] === 1) {\n dims.splice(dim, 1);\n }\n } else if (Array.isArray(dim)) {\n dims = dims.filter((x, i) => {\n return x !== 1 || !dim.includes(i);\n });\n }\n return dims;\n}\n\n/**\n * Helper function to calculate new dimensions when performing an unsqueeze operation.\n * @param {number[]} dims The dimensions of the tensor.\n * @param {number} dim The dimension to unsqueeze.\n * @returns {number[]} The new dimensions.\n * @private\n */\nfunction calc_unsqueeze_dims(dims, dim) {\n // Dimension out of range (e.g., \"expected to be in range of [-4, 3], but got 4\")\n // + 1 since we allow inserting at the end (i.e. dim = -1)\n dim = safeIndex(dim, dims.length + 1);\n dims = dims.slice();\n // Insert 1 into specified dimension\n dims.splice(dim, 0, 1);\n return dims;\n}\n\n/**\n * Safely calculate the index for an array of a given size, allowing negative indexing.\n * @param {number} index The index that will be used.\n * @param {number} size The size of the array.\n * @param {number} [dimension=null] The dimension that the index is for (optional).\n * @returns {number} The index, guaranteed to be non-negative and less than `arrayLength`.\n *\n * @throws {Error} If the index is out of range.\n * @private\n */\nfunction safeIndex(index, size, dimension = null, boundsCheck = true) {\n if (boundsCheck && (index < -size || index >= size)) {\n throw new Error(`IndexError: index ${index} is out of bounds for dimension${dimension === null ? '' : ' ' + dimension} with size ${size}`);\n }\n\n if (index < 0) {\n // Negative indexing, ensuring positive index\n index = ((index % size) + size) % size;\n }\n return index;\n}\n\n/**\n * Concatenates an array of tensors along a specified dimension.\n * @param {Tensor[]} tensors The array of tensors to concatenate.\n * @param {number} dim The dimension to concatenate along.\n * @returns {Tensor} The concatenated tensor.\n */\nexport function cat(tensors, dim = 0) {\n dim = safeIndex(dim, tensors[0].dims.length);\n\n // TODO do validation of shapes\n\n const resultDims = tensors[0].dims.slice();\n resultDims[dim] = tensors.reduce((a, b) => a + b.dims[dim], 0);\n\n // Create a new array to store the accumulated values\n const resultSize = resultDims.reduce((a, b) => a * b, 1);\n // @ts-ignore\n const result = new tensors[0].data.constructor(resultSize);\n\n // Create output tensor of same type as first\n const resultType = tensors[0].type;\n\n if (dim === 0) {\n // Handle special case for performance reasons\n\n let offset = 0;\n for (const tensor of tensors) {\n const tensorData = tensor.data;\n result.set(tensorData, offset);\n offset += tensorData.length;\n }\n\n } else {\n\n let currentDim = 0;\n\n for (let t = 0; t < tensors.length; ++t) {\n const { data, dims } = tensors[t];\n\n // Iterate over the data array\n for (let i = 0; i < data.length; ++i) {\n // Calculate the index in the resulting array\n let resultIndex = 0;\n\n for (let j = dims.length - 1, num = i, resultMultiplier = 1; j >= 0; --j) {\n const size = dims[j];\n let index = num % size;\n if (j === dim) {\n index += currentDim;\n }\n resultIndex += index * resultMultiplier;\n resultMultiplier *= resultDims[j];\n num = Math.floor(num / size);\n }\n // Accumulate the value at the current index\n result[resultIndex] = data[i];\n }\n\n currentDim += dims[dim];\n }\n }\n return new Tensor(resultType, result, resultDims);\n}\n\n/**\n * Stack an array of tensors along a specified dimension.\n * @param {Tensor[]} tensors The array of tensors to stack.\n * @param {number} dim The dimension to stack along.\n * @returns {Tensor} The stacked tensor.\n */\nexport function stack(tensors, dim = 0) {\n // TODO do validation of shapes\n // NOTE: stack expects each tensor to be equal size\n return cat(tensors.map(t => t.unsqueeze(dim)), dim);\n}\n\n\n/**\n * @param {(previousValue: any, currentValue: any, currentIndex?: number, resultIndex?: number) => any} callbackfn\n * @param {Tensor} input the input tensor.\n * @param {number|null} dim the dimension to reduce.\n * @param {boolean} keepdim whether the output tensor has dim retained or not.\n * @returns {[DataType, any, number[]]} The reduced tensor data.\n */\nfunction reduce_helper(callbackfn, input, dim = null, keepdim = false, initialValue = null) {\n const inputData = input.data;\n const inputDims = input.dims;\n\n // Negative indexing\n dim = safeIndex(dim, inputDims.length);\n\n // Calculate the shape of the resulting array after summation\n const resultDims = inputDims.slice(); // Copy the original dimensions\n resultDims[dim] = 1; // Remove the specified axis\n\n // Create a new array to store the accumulated values\n // @ts-ignore\n const result = new inputData.constructor(inputData.length / inputDims[dim]);\n if (initialValue !== null) {\n result.fill(initialValue);\n }\n\n // Iterate over the data array\n for (let i = 0; i < inputData.length; ++i) {\n\n // Calculate the index in the resulting array\n let resultIndex = 0;\n\n for (let j = inputDims.length - 1, num = i, resultMultiplier = 1; j >= 0; --j) {\n const size = inputDims[j];\n if (j !== dim) {\n const index = num % size;\n resultIndex += index * resultMultiplier;\n resultMultiplier *= resultDims[j];\n }\n num = Math.floor(num / size);\n }\n\n // Accumulate the value at the current index\n result[resultIndex] = callbackfn(result[resultIndex], inputData[i], i, resultIndex);\n }\n\n if (!keepdim) resultDims.splice(dim, 1);\n\n return [input.type, result, resultDims];\n}\n\n\n/**\n * Calculates the standard deviation and mean over the dimensions specified by dim. dim can be a single dimension or `null` to reduce over all dimensions.\n * @param {Tensor} input the input tenso\n * @param {number|null} dim the dimension to reduce. If None, all dimensions are reduced.\n * @param {number} correction difference between the sample size and sample degrees of freedom. Defaults to Bessel's correction, correction=1.\n * @param {boolean} keepdim whether the output tensor has dim retained or not.\n * @returns {Tensor[]} A tuple of (std, mean) tensors.\n */\nexport function std_mean(input, dim = null, correction = 1, keepdim = false) {\n const inputData = /** @type {Float32Array} */(input.data);\n const inputDims = input.dims;\n\n if (dim === null) {\n // None to reduce over all dimensions.\n const sum = inputData.reduce((a, b) => a + b, 0);\n const mean = sum / inputData.length;\n const std = Math.sqrt(inputData.reduce((a, b) => a + (b - mean) ** 2, 0) / (inputData.length - correction));\n\n const meanTensor = new Tensor(input.type, [mean], [/* scalar */]);\n const stdTensor = new Tensor(input.type, [std], [/* scalar */]);\n\n return [stdTensor, meanTensor];\n }\n dim = safeIndex(dim, inputDims.length);\n const meanTensor = mean(input, dim, keepdim);\n const meanTensorData = meanTensor.data;\n\n // Compute squared sum\n const [type, result, resultDims] = reduce_helper((a, b, i, j) => a + (b - meanTensorData[j]) ** 2, input, dim, keepdim);\n\n // Square root of the squared sum\n for (let i = 0; i < result.length; ++i) {\n result[i] = Math.sqrt(result[i] / (inputDims[dim] - correction));\n }\n\n const stdTensor = new Tensor(type, result, resultDims);\n\n return [stdTensor, meanTensor];\n}\n\n/**\n * Returns the mean value of each row of the input tensor in the given dimension dim.\n * @param {Tensor} input the input tensor.\n * @param {number|null} dim the dimension to reduce.\n * @param {boolean} keepdim whether the output tensor has dim retained or not.\n * @returns {Tensor} A new tensor with means taken along the specified dimension.\n */\nexport function mean(input, dim = null, keepdim = false) {\n const inputDims = input.dims;\n const inputData = /** @type {Float32Array} */(input.data);\n\n if (dim === null) {\n // None to reduce over all dimensions.\n const val = inputData.reduce((a, b) => a + b, 0);\n return new Tensor(input.type, [val / inputData.length], [/* scalar */]);\n }\n dim = safeIndex(dim, inputDims.length);\n\n // Compute sum\n const [type, result, resultDims] = reduce_helper((a, b) => a + b, input, dim, keepdim);\n\n // Divide by number of elements in the dimension\n if (inputDims[dim] !== 1) {\n for (let i = 0; i < result.length; ++i) {\n result[i] /= inputDims[dim];\n }\n }\n\n return new Tensor(type, result, resultDims);\n}\n\n\nfunction dimsToStride(dims) {\n const stride = new Array(dims.length);\n for (let i = dims.length - 1, s2 = 1; i >= 0; --i) {\n stride[i] = s2;\n s2 *= dims[i];\n }\n return stride;\n}\n\nfunction fullHelper(size, fill_value, dtype, cls) {\n const numElements = size.reduce((a, b) => a * b, 1);\n return new Tensor(\n dtype,\n new cls(numElements).fill(fill_value),\n size\n )\n}\n\n/**\n * Creates a tensor of size size filled with fill_value. The tensor's dtype is inferred from fill_value.\n * @param {number[]} size A sequence of integers defining the shape of the output tensor.\n * @param {number|bigint|boolean} fill_value The value to fill the output tensor with.\n * @returns {Tensor} The filled tensor.\n */\nexport function full(size, fill_value) {\n let dtype;\n let typedArrayCls;\n if (typeof fill_value === 'number') {\n dtype = 'float32';\n typedArrayCls = Float32Array;\n } else if (typeof fill_value === 'bigint') {\n dtype = 'int64';\n typedArrayCls = BigInt64Array;\n } else if (typeof fill_value === 'boolean') {\n dtype = 'bool';\n typedArrayCls = Uint8Array;\n } else {\n // TODO: support other dtypes\n throw new Error(`Unsupported data type: ${typeof fill_value}`);\n }\n return fullHelper(size, fill_value, dtype, typedArrayCls);\n}\n\nexport function full_like(tensor, fill_value) {\n return full(tensor.dims, fill_value);\n}\n\n/**\n * Returns a tensor filled with the scalar value 1, with the shape defined by the variable argument size.\n * @param {number[]} size A sequence of integers defining the shape of the output tensor.\n * @returns {Tensor} The ones tensor.\n */\nexport function ones(size) {\n return fullHelper(size, 1n, 'int64', BigInt64Array);\n}\n\n/**\n * Returns a tensor filled with the scalar value 1, with the same size as input.\n * @param {Tensor} tensor The size of input will determine size of the output tensor.\n * @returns {Tensor} The ones tensor.\n */\nexport function ones_like(tensor) {\n return ones(tensor.dims);\n}\n\n/**\n * Returns a tensor filled with the scalar value 0, with the shape defined by the variable argument size.\n * @param {number[]} size A sequence of integers defining the shape of the output tensor.\n * @returns {Tensor} The zeros tensor.\n */\nexport function zeros(size) {\n return fullHelper(size, 0n, 'int64', BigInt64Array);\n}\n\n/**\n * Returns a tensor filled with the scalar value 0, with the same size as input.\n * @param {Tensor} tensor The size of input will determine size of the output tensor.\n * @returns {Tensor} The zeros tensor.\n */\nexport function zeros_like(tensor) {\n return zeros(tensor.dims);\n}\n\n/**\n * Returns a tensor filled with random numbers from a uniform distribution on the interval [0, 1)\n * @param {number[]} size A sequence of integers defining the shape of the output tensor.\n * @returns {Tensor} The random tensor.\n */\nexport function rand(size) {\n const length = size.reduce((a, b) => a * b, 1);\n return new Tensor(\n \"float32\",\n Float32Array.from({ length }, () => Math.random()),\n size,\n )\n}\n\n/**\n * Quantizes the embeddings tensor to binary or unsigned binary precision.\n * @param {Tensor} tensor The tensor to quantize.\n * @param {'binary'|'ubinary'} precision The precision to use for quantization.\n * @returns {Tensor} The quantized tensor.\n */\nexport function quantize_embeddings(tensor, precision) {\n if (tensor.dims.length !== 2) {\n throw new Error(\"The tensor must have 2 dimensions\");\n }\n if (tensor.dims.at(-1) % 8 !== 0) {\n throw new Error(\"The last dimension of the tensor must be a multiple of 8\");\n }\n if (!['binary', 'ubinary'].includes(precision)) {\n throw new Error(\"The precision must be either 'binary' or 'ubinary'\");\n }\n\n const signed = precision === 'binary';\n const dtype = signed ? 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(obj) => (Object.getPrototypeOf(obj)) : (obj) => (obj.__proto__);\nvar leafPrototypes;\n// create a fake namespace object\n// mode & 1: value is a module id, require it\n// mode & 2: merge all properties of value into the ns\n// mode & 4: return value when already ns object\n// mode & 16: return value when it's Promise-like\n// mode & 8|1: behave like require\n__webpack_require__.t = function(value, mode) {\n\tif(mode & 1) value = this(value);\n\tif(mode & 8) return value;\n\tif(typeof value === 'object' && value) {\n\t\tif((mode & 4) && value.__esModule) return value;\n\t\tif((mode & 16) && typeof value.then === 'function') return value;\n\t}\n\tvar ns = Object.create(null);\n\t__webpack_require__.r(ns);\n\tvar def = {};\n\tleafPrototypes = leafPrototypes || [null, getProto({}), getProto([]), getProto(getProto)];\n\tfor(var current = mode & 2 && value; typeof current == 'object' && !~leafPrototypes.indexOf(current); current = getProto(current)) {\n\t\tObject.getOwnPropertyNames(current).forEach((key) => (def[key] = () => (value[key])));\n\t}\n\tdef['default'] = () => (value);\n\t__webpack_require__.d(ns, def);\n\treturn ns;\n};", "// define getter functions for harmony exports\n__webpack_require__.d = (exports, definition) => {\n\tfor(var key in definition) {\n\t\tif(__webpack_require__.o(definition, key) && !__webpack_require__.o(exports, key)) {\n\t\t\tObject.defineProperty(exports, key, { enumerable: true, get: definition[key] });\n\t\t}\n\t}\n};", "__webpack_require__.o = (obj, prop) => (Object.prototype.hasOwnProperty.call(obj, prop))", "// define __esModule on exports\n__webpack_require__.r = (exports) => {\n\tif(typeof Symbol !== 'undefined' && Symbol.toStringTag) {\n\t\tObject.defineProperty(exports, Symbol.toStringTag, { value: 'Module' });\n\t}\n\tObject.defineProperty(exports, '__esModule', { value: true });\n};", "var scriptUrl;\nif (typeof import.meta.url === \"string\") scriptUrl = import.meta.url\n// When supporting browsers where an automatic publicPath is not supported you must specify an output.publicPath manually via configuration\n// or pass an empty string (\"\") and set the __webpack_public_path__ variable from your code to use your own logic.\nif (!scriptUrl) throw new Error(\"Automatic publicPath is not supported in this browser\");\nscriptUrl = scriptUrl.replace(/#.*$/, \"\").replace(/\\?.*$/, \"\").replace(/\\/[^\\/]+$/, \"/\");\n__webpack_require__.p = scriptUrl;", "__webpack_require__.b = new URL(\"./\", import.meta.url);\n\n// object to store loaded and loading chunks\n// undefined = chunk not loaded, null = chunk preloaded/prefetched\n// [resolve, Promise] = chunk loading, 0 = chunk loaded\nvar installedChunks = {\n\t\"transformers\": 0\n};\n\n// no install chunk\n\n// no chunk on demand loading\n\n// no prefetching\n\n// no preloaded\n\n// no external install chunk\n\n// no on chunks loaded", "/**\n * @file Entry point for the Transformers.js library. Only the exports from this file\n * are available to the end user, and are grouped as follows:\n * \n * 1. [Pipelines](./pipelines)\n * 2. [Environment variables](./env)\n * 3. [Models](./models)\n * 4. [Tokenizers](./tokenizers)\n * 5. [Processors](./processors)\n * \n * @module transformers\n */\n\nexport { env } from './env.js';\n\nexport * from './pipelines.js';\nexport * from './models.js';\nexport * from './tokenizers.js';\nexport * from './configs.js';\n\nexport * from './utils/audio.js';\nexport * from './utils/image.js';\nexport * from './utils/tensor.js';\nexport * from './utils/maths.js';\n\n\nexport { FeatureExtractor } from './base/feature_extraction_utils.js';\nexport * from './models/feature_extractors.js';\nexport * from './models/auto/feature_extraction_auto.js';\n\nexport { ImageProcessor } from './base/image_processors_utils.js';\nexport * from './models/image_processors.js';\nexport * from './models/auto/image_processing_auto.js';\n\nexport { Processor } from './base/processing_utils.js';\nexport * from './models/processors.js';\nexport * from './models/auto/processing_auto.js';\n\nexport * from './generation/streamers.js';\nexport * from './generation/stopping_criteria.js';\nexport * from './generation/logits_process.js';\n", "// depth_text_controller.js\nimport { Controller } from \"@hotwired/stimulus\"\n// import { pipeline } from '@huggingface/transformers';\nimport { AutoModel, AutoProcessor, RawImage } from '@huggingface/transformers';\n\nexport default class extends Controller {\n static targets = [\"canvas\", \"canvasWrapper\", \"uploadButton\", \"uploadField\", \"addTextButton\", \"textContainer\", \"textTemplate\", \"loading\", \"downloadButton\"]\n static values = { texts: Array }\n\n async connect() {\n this.ctx = this.canvasTarget.getContext(\"2d\")\n this.textsValue = []\n this.isDragging = false\n this.selectedTextIndex = null\n this.fontSize = 24\n\n this.loadingTarget.innerHTML = \"<span class='flex items-center gap-1'><i data-lucide='loader-circle' class='animate-spin'></i>Loading model...</span>\"\n\n try {\n // this.model = await AutoModel.from_pretrained('Xenova/modnet', { quantized: false });\n // this.processor = await AutoProcessor.from_pretrained('Xenova/modnet');\n\n // const model_id = 'onnx-community/BiRefNet_lite';\n // this.model = await AutoModel.from_pretrained(model_id, { quantized: false, dtype: 'fp16' })\n // this.processor = await AutoProcessor.from_pretrained(model_id);\n\n this.model = await AutoModel.from_pretrained('briaai/RMBG-1.4');\n this.processor = await AutoProcessor.from_pretrained('briaai/RMBG-1.4');\n // this.pipeline = await pipeline('image-segmentation', 'briaai/RMBG-2.0', { quantized: false });\n\n // this.model = await AutoModel.from_pretrained('briaai/RMBG-2.0', {\n // quantized: false,\n // config: {\n // \"do_normalize\": true,\n // \"do_rescale\": true,\n // \"do_resize\": true,\n // \"feature_extractor_type\": \"ViTFeatureExtractor\",\n // \"image_mean\": [\n // 0.485,\n // 0.456,\n // 0.406\n // ],\n // \"image_processor_type\": \"ViTFeatureExtractor\",\n // \"image_std\": [\n // 0.229,\n // 0.224,\n // 0.225\n // ],\n // \"resample\": 2,\n // \"rescale_factor\": 0.00392156862745098,\n // \"size\": {\n // \"height\": 1024,\n // \"width\": 1024\n // }\n // }\n // });\n // this.processor = await AutoProcessor.from_pretrained('briaai/RMBG-2.0')\n // // console.log('test')\n\n // this.processor = await AutoProcessor.from_pretrained('briaai/RMBG-2.0', {\n // config: \n // });\n\n if (this.hasLoadingTarget) {\n this.uploadButtonTarget.disabled = false\n this.loadingTarget.innerHTML = \"Upload an image to get started!\"\n // setTimeout(() => this.loadingTarget.textContent = \"\", 2000)\n }\n } catch (error) {\n console.error(\"Model loading failed:\", error)\n if (this.hasLoadingTarget) {\n this.loadingTarget.textContent = `Error: ${error.message}`\n }\n }\n\n // Set up canvas\n // this.canvasTarget.width = 800\n // this.canvasTarget.height = 600\n }\n\n disconnect() {\n }\n\n triggerFileUpload() {\n this.uploadFieldTarget.click()\n }\n\n async handleUpload(event) {\n const file = event.target.files[0]\n if (!file) return\n\n this.canvasWrapperTarget.classList.add('hidden')\n this.loadingTarget.classList.remove('hidden')\n this.loadingTarget.innerHTML = \"<span class='flex items-center gap-1'><i data-lucide='loader-circle' class='animate-spin'></i>Processing image...</span>\"\n\n try {\n // Load image\n const img = await this.loadImage(file)\n // Store original image\n this.originalImage = img;\n\n // Resize canvas to match image\n this.canvasTarget.width = img.width\n this.canvasTarget.height = img.height\n // this.ctx.drawImage(img, 0, 0)\n\n // Convert predicted depth to array\n // this.depthMap = await this.depth_estimator(img.src);\n // this.depthMap = await this.processor(img.src);\n const image = await RawImage.fromBlob(file);\n const { pixel_values } = await this.processor(image);\n const { output } = await this.model({ input: pixel_values });\n this.mask = await RawImage.fromTensor(output[0].mul(255).to('uint8')).resize(img.width, img.height)\n this.mask = await this.loadImage(await this.mask.toBlob())\n\n\n // Calculate fontSize based on image width\n this.fontSize = Math.max(400, Math.floor(img.width / 30));\n\n this.resetTexts()\n this.render()\n\n if (this.hasLoadingTarget) {\n this.loadingTarget.classList.add('hidden')\n this.canvasWrapperTarget.classList.remove('hidden')\n this.loadingTarget.textContent = \"Ready!\"\n this.addText()\n this.addTextButtonTarget.disabled = false\n setTimeout(() => this.loadingTarget.textContent = \"\", 2000)\n }\n } catch (error) {\n console.error(\"Processing failed:\", error)\n if (this.hasLoadingTarget) {\n this.loadingTarget.textContent = `Error: ${error.message}`\n }\n }\n }\n\n loadImage(file) {\n return new Promise((resolve, reject) => {\n const img = new Image()\n img.onload = () => resolve(img)\n img.onerror = reject\n img.src = URL.createObjectURL(file)\n })\n }\n\n render() {\n // Clear canvas\n this.ctx.clearRect(0, 0, this.canvasTarget.width, this.canvasTarget.height);\n\n // Draw the original image\n if (this.originalImage) this.ctx.drawImage(this.originalImage, 0, 0);\n\n // Draw texts\n this.textsValue.forEach(text => {\n this.ctx.save();\n\n // Text properties\n this.ctx.font = `${text.weight} ${text.size}px Arial`;\n this.ctx.fillStyle = text.color;\n this.ctx.globalAlpha = text.opacity;\n\n // Handle rotation\n this.ctx.translate(text.x, text.y);\n this.ctx.rotate((text.rotation * Math.PI) / 180);\n\n // Draw text\n const metrics = this.ctx.measureText(text.content);\n this.ctx.fillText(\n text.content,\n -metrics.width / 2,\n text.size / 3\n );\n\n this.ctx.restore();\n });\n\n // Create a temporary canvas for the foreground\n const foregroundTempCanvas = document.createElement('canvas');\n foregroundTempCanvas.width = this.canvasTarget.width;\n foregroundTempCanvas.height = this.canvasTarget.height;\n const foregroundTempCtx = foregroundTempCanvas.getContext('2d');\n foregroundTempCtx.clearRect(0, 0, foregroundTempCanvas.width, foregroundTempCanvas.height);\n\n // Draw the original image on the temporary canvas\n if (this.originalImage) foregroundTempCtx.drawImage(this.originalImage, 0, 0);\n\n // Create a temporary canvas for the mask\n const maskTempCanvas = document.createElement('canvas');\n maskTempCanvas.width = this.canvasTarget.width;\n maskTempCanvas.height = this.canvasTarget.height;\n const maskTempCtx = maskTempCanvas.getContext('2d');\n maskTempCtx.clearRect(0, 0, maskTempCanvas.width, maskTempCanvas.height);\n\n // Draw the mask on the temporary canvas\n if (this.mask) maskTempCtx.drawImage(this.mask, 0, 0);\n\n // Get the image data of the mask\n const imageData = maskTempCtx.getImageData(0, 0, maskTempCanvas.width, maskTempCanvas.height);\n const data = imageData.data;\n\n // Convert white pixels to transparent\n for (let i = 0; i < data.length; i += 4) {\n // Calculate grayscale value (average of R, G, B)\n const grayscale = (data[i] + data[i + 1] + data[i + 2]) / 3;\n // Set alpha based on grayscale (255 - grayscale for inverse relationship)\n data[i + 3] = 255 - grayscale;\n }\n\n // Put the modified image data back on the mask temporary canvas\n maskTempCtx.putImageData(imageData, 0, 0);\n\n // Use the mask temporary canvas to extract the foreground\n foregroundTempCtx.globalCompositeOperation = 'destination-out';\n foregroundTempCtx.drawImage(maskTempCanvas, 0, 0);\n\n // Draw the foreground on top of everything\n this.ctx.drawImage(foregroundTempCanvas, 0, 0);\n }\n\n // Text management methods would go here...\n // Updated addText function to generate form fields for each text property\n addText(event) {\n // Calculate min/max values for x and y positions\n const minX = 0;\n const maxX = this.originalImage ? this.originalImage.width : this.canvasTarget.width;\n const minY = 0;\n const maxY = this.originalImage ? this.originalImage.height : this.canvasTarget.height;\n\n const newText = {\n content: 'EDIT',\n x: Math.floor(maxX / 2),\n y: Math.floor(maxY / 2),\n size: this.fontSize,\n rotation: 0,\n opacity: 1,\n color: '#ffffff',\n weight: 700,\n };\n this.textsValue = [...this.textsValue, newText];\n const textIndex = this.textsValue.length - 1;\n\n // Create form fields for the new text object\n const form = document.createElement('div');\n form.classList.add('space-y-2', 'text-config');\n form.dataset.index = textIndex;\n\n // Add fields for each property\n let elements = this.textTemplateTarget.innerHTML;\n // replace all ${textIndex} placeholders with the actual textIndex\n elements = elements.replaceAll(/\\${textIndex}/g, textIndex);\n form.innerHTML = elements;\n\n // Go through all newText properties and set the form field values\n Object.entries(newText).forEach(([key, value]) => {\n const input = form.querySelector(`[data-property=\"${key}\"]`);\n if (input) {\n // Set min and max attributes for x and y inputs\n if (key === 'x') {\n input.min = minX;\n input.max = maxX;\n } else if (key === 'y') {\n input.min = minY;\n input.max = maxY;\n }\n\n input.value = value;\n }\n });\n\n // Append form to textContainer\n this.textContainerTarget.appendChild(form);\n this.render();\n }\n\n updateText(event) {\n const index = parseInt(event.target.dataset.index);\n const property = event.target.dataset.property;\n const value = event.target.value;\n\n // Parse numeric properties where needed\n const parsedValue = ['size', 'rotation', 'x', 'y', 'opacity'].includes(property) ? parseFloat(value) : value;\n\n this.textsValue = this.textsValue.map((text, i) => {\n if (i === index) {\n return { ...text, [property]: parsedValue };\n }\n return text;\n });\n\n this.render();\n }\n\n removeText(event) {\n const index = parseInt(event.target.dataset.index);\n this.textsValue = this.textsValue.filter((_, i) => i !== index);\n\n // Remove the form field\n const form = this.textContainerTarget.querySelector(`[data-index=\"${index}\"]`);\n if (form) form.remove();\n\n this.render();\n }\n\n resetTexts() {\n this.textsValue.forEach((_, i) => {\n const form = this.textContainerTarget.querySelector(`[data-index=\"${i}\"]`);\n if (form) form.remove();\n })\n this.textsValue = [];\n }\n\n downloadImage() {\n const link = document.createElement('a');\n link.download = 'image.png';\n link.href = this.canvasTarget.toDataURL();\n link.click();\n }\n}\n", "// app/javascript/controllers/flash_controller.js\nimport { Controller } from \"@hotwired/stimulus\"\n\nexport default class extends Controller {\n connect() {\n // Set a timeout to start fading out after 3 seconds\n this.timeout = setTimeout(() => {\n this.fadeOut()\n }, 3000)\n }\n\n disconnect() {\n // Clear the timeout if the element is removed from the DOM\n if (this.timeout) {\n clearTimeout(this.timeout)\n }\n }\n\n fadeOut() {\n // Add a class to trigger the fade out animation\n this.element.classList.add('fadeout')\n\n // Listen for the end of the animation and then remove the element\n this.element.addEventListener('animationend', () => {\n this.element.remove()\n }, { once: true })\n }\n}\n", "import { Controller } from \"@hotwired/stimulus\"\n\nexport default class extends Controller {\n static targets = ['scrollContainer']\n static values = {\n controller: String\n }\n\n connect() {\n document.addEventListener(\"turbo:render\", this.restorePosition)\n }\n\n disconnect() {\n document.removeEventListener(\"turbo:render\", this.restorePosition)\n }\n\n track() {\n const scrollPosition = this.scrollContainerTarget.scrollTop\n sessionStorage.setItem('historyStack', JSON.stringify({\n url: window.location.href,\n position: scrollPosition\n }))\n }\n\n restorePosition = (event) => {\n console.log('restorePosition')\n const history = JSON.parse(sessionStorage.getItem('historyStack')) || {}\n if (history.url === window.location.href) {\n window.scrollTo(0, history.position);\n this.scrollContainerTarget.scrollTop = history.position\n this.scheduleHistoryDeletion()\n }\n }\n\n scheduleHistoryDeletion() {\n // Schedule history deletion after a short delay\n setTimeout(() => {\n sessionStorage.removeItem('historyStack')\n }, 1000) // Adjust this delay as needed\n }\n}\n", "import { Controller } from \"@hotwired/stimulus\"\n\nexport default class extends Controller {\n static targets = [\"image\", \"loadingIndicator\"]\n\n static values = {\n fallbackUrl: String,\n previousUrl: String,\n nextUrl: String\n }\n\n connect() {\n this.setupModal()\n this.handleImageLoading()\n }\n\n disconnect() {\n this.teardownModal()\n }\n\n teardownModal() {\n document.body.style.overflow = ''\n document.removeEventListener('keydown', this.handleKeyDown)\n }\n\n setupModal() {\n document.body.style.overflow = 'hidden'\n document.addEventListener('keydown', this.handleKeyDown)\n }\n\n close() {\n event.preventDefault()\n\n document.body.style.overflow = ''\n document.removeEventListener('keydown', this.handleKeyDown)\n\n const history = JSON.parse(sessionStorage.getItem('historyStack')) || { url: this.fallbackUrlValue }\n\n Turbo.visit(history.url, { action: 'replace' })\n this.element.remove()\n }\n\n handleKeyDown = (event) => {\n switch(event.key) {\n case 'Escape':\n this.close()\n break\n case 'ArrowLeft':\n this.loadPreviousImage()\n break\n case 'ArrowUp':\n this.loadPreviousImage()\n break\n case 'ArrowRight':\n this.loadNextImage()\n break\n case 'ArrowDown':\n this.loadNextImage()\n break\n }\n }\n\n handleImageLoading() {\n if (this.hasImageTarget) {\n if (this.imageTarget.complete) {\n this.imageLoaded()\n } else {\n this.imageTarget.addEventListener('load', () => this.imageLoaded())\n this.imageTarget.addEventListener('error', () => this.imageError())\n }\n }\n }\n\n imageLoaded() {\n this.imageTarget.classList.remove('opacity-0')\n this.loadingIndicatorTarget.classList.add('hidden')\n }\n\n imageError() {\n this.loadingIndicatorTarget.innerHTML = 'Error loading image'\n }\n\n loadPreviousImage() {\n if (this.hasPreviousUrlValue) {\n Turbo.visit(this.previousUrlValue, { action: 'replace' })\n }\n }\n\n loadNextImage() {\n if (this.hasNextUrlValue) {\n Turbo.visit(this.nextUrlValue, { action: 'replace' })\n }\n }\n}\n", "import { Controller } from \"@hotwired/stimulus\"\n\nexport default class extends Controller {\n static targets = [ \"container\", \"image\", \"showAllButton\" ]\n\n connect() {\n this.checkOverflow()\n window.addEventListener('resize', this.checkOverflow.bind(this))\n }\n\n disconnect() {\n window.removeEventListener('resize', this.checkOverflow.bind(this))\n }\n\n checkOverflow() {\n const containerWidth = this.containerTarget.offsetWidth\n const imagesWidth = this.imageTargets.reduce((total, img) => total + img.offsetWidth, 0)\n\n if (imagesWidth > containerWidth) {\n this.showAllButtonTarget.classList.remove('hidden')\n this.containerTarget.style.maskImage = 'linear-gradient(to right, black 90%, transparent 100%)'\n this.containerTarget.style.webkitMaskImage = 'linear-gradient(to right, black 90%, transparent 100%)'\n } else {\n this.showAllButtonTarget.classList.add('hidden')\n this.containerTarget.style.maskImage = 'none'\n this.containerTarget.style.webkitMaskImage = 'none'\n }\n }\n}\n", "import { Controller } from \"@hotwired/stimulus\"\nimport { Turbo } from \"@hotwired/turbo-rails\"\n\nexport default class extends Controller {\n static targets = [\"pagination\", 'loadMore', 'loadingIndicator']\n\n connect() {\n this.intersectionObserver = new IntersectionObserver(entries => {\n entries.forEach(entry => {\n if (entry.isIntersecting) {\n this.loadMore()\n }\n })\n })\n\n this.intersectionObserver.observe(this.paginationTarget)\n }\n\n disconnect() {\n this.intersectionObserver.disconnect()\n }\n\n loadMore() {\n if (this.hasLoadMoreTarget) {\n this.loadMoreTarget.click()\n this.loadMoreTarget.classList.add('hidden')\n this.loadingIndicatorTarget.classList.remove('hidden')\n }\n }\n}\n", "// controllers/icon_controller.js\nimport { Controller } from \"@hotwired/stimulus\";\nimport lucide from \"lucide/dist/umd/lucide\"\n\nexport default class extends Controller {\n connect() {\n this.createIcons();\n this.observeMutations();\n }\n\n observeMutations() {\n const observer = new MutationObserver(mutations => {\n mutations.forEach(mutation => {\n if (mutation.addedNodes.length) {\n mutation.addedNodes.forEach(node => {\n if (node.nodeType === 1 && node.matches('i[data-lucide]')) {\n this.createIcons();\n } else if (node.nodeType === 1) {\n node.querySelectorAll('i[data-lucide]').forEach(() => {\n this.createIcons();\n });\n }\n });\n }\n });\n });\n\n observer.observe(document.body, {\n childList: true,\n subtree: true,\n });\n }\n\n createIcons() {\n lucide.createIcons()\n }\n}\n", "import { Controller } from \"@hotwired/stimulus\"\n\nexport default class extends Controller {\n static targets = ['sidebar', 'bg']\n\n connect() {\n // If nav link has a redirect class, change the data-action to expand\n // if nav link has no redirect class and not a hash, change the data-action to close\n let links = this.sidebarTarget.querySelectorAll('a')\n links.forEach((link) => {\n if (link.classList.contains('nav-link--redirect')) {\n link.dataset.action = 'navigation#expand'\n } else if (link.getAttribute('href') !== '#') {\n link.dataset.action = 'navigation#close'\n }\n })\n\n this.bodyElement = document.body\n }\n\n expand(event) {\n if (this.sidebarTarget.classList.contains('is-open')) {\n event.preventDefault()\n let link = event.currentTarget\n if (!link.classList.contains('nav-link--is-selected')) {\n let list = link.nextElementSibling\n list.classList.toggle('hidden')\n }\n }\n }\n\n toggle() {\n if (this.sidebarTarget.classList.contains(\"is-open\")) {\n this.close()\n } else {\n this.open()\n }\n }\n\n open() {\n this.bodyElement.setAttribute(\"data-lock-scrolling\", \"\")\n this.bgTarget.classList.remove(\"hidden\")\n this.sidebarTarget.classList.add(\"is-transitioning\")\n setTimeout(() => {\n this.sidebarTarget.classList.add(\"is-open\")\n }, 10)\n this.sidebarTarget.addEventListener(\"transitionend\", () => {\n this.sidebarTarget.classList.remove(\"is-transitioning\")\n }, { once: true })\n }\n\n close() {\n if (this.sidebarTarget.classList.contains(\"is-open\")) {\n this.bodyElement.removeAttribute(\"data-lock-scrolling\")\n this.bgTarget.classList.add(\"hidden\")\n this.sidebarTarget.classList.add(\"is-transitioning\")\n this.sidebarTarget.classList.remove(\"is-open\")\n this.sidebarTarget.addEventListener(\"transitionend\", () => {\n this.sidebarTarget.classList.remove(\"is-transitioning\")\n }, { once: true })\n }\n }\n}\n", "import { Controller } from \"@hotwired/stimulus\"\nimport autosize from \"autosize\"\n\nexport default class extends Controller {\n static targets = ['form', 'input']\n\n connect() {\n this.promptList = document.querySelector('#prompts')\n this.loadingIndicator = document.querySelector('#loading-indicator')\n this.formTarget.addEventListener('submit', this.handleSubmitSuccess.bind(this))\n this.inputTarget.addEventListener('input', this.handleInput.bind(this))\n this.inputTarget.addEventListener('keydown', this.handleKeydown.bind(this))\n this.inputTarget.addEventListener('blur', this.handleBlur.bind(this))\n this.suggestions = []\n this.selectedIndex = 0\n if (this.inputTarget.value === '') {\n this.inputTarget.focus()\n } else {\n this.submit()\n }\n }\n\n submit() {\n if (event) event.preventDefault()\n this.promptList.classList.add('opacity-25');\n this.loadingIndicator.classList.remove('hidden');\n if (this.submitTimeout) {\n clearTimeout(this.submitTimeout);\n }\n this.submitTimeout = setTimeout(() => {\n this.promptList.innerHTML = '';\n console.log('submit')\n this.formTarget.requestSubmit();\n }, 300);\n }\n\n handleSubmitSuccess(event) {\n this.promptList.classList.remove('opacity-25');\n this.loadingIndicator.classList.add('hidden');\n }\n\n async handleInput(event) {\n const cursorPosition = event.target.selectionStart\n const inputValue = event.target.value\n const bracketContent = this.getBracketContent(inputValue, cursorPosition)\n\n if (bracketContent !== null) {\n if (bracketContent === '') {\n // Show all suggestions when \"[\" is typed\n this.suggestions = await this.fetchSuggestions('')\n this.updateSuggestions(cursorPosition)\n } else if (!bracketContent.includes(' ')) {\n // Fetch and show suggestions only if there's no space\n this.suggestions = await this.fetchSuggestions(bracketContent)\n this.updateSuggestions(cursorPosition)\n } else {\n this.suggestions = []\n this.hideSuggestions()\n }\n } else {\n this.suggestions = []\n this.hideSuggestions()\n }\n }\n\n async fetchSuggestions(query) {\n try {\n const response = await fetch(`/ai-art-prompt-generator/lists?query=${encodeURIComponent(query)}`)\n return await response.json()\n } catch (error) {\n console.error('Error fetching suggestions:', error)\n return []\n }\n }\n\n getBracketContent(text, cursorPosition) {\n const textBeforeCursor = text.slice(0, cursorPosition)\n const lastOpenBracket = textBeforeCursor.lastIndexOf('[')\n if (lastOpenBracket === -1) return null\n\n const contentAfterBracket = textBeforeCursor.slice(lastOpenBracket + 1)\n const nestedOpenBrackets = contentAfterBracket.split('[').length - 1\n const nestedCloseBrackets = contentAfterBracket.split(']').length - 1\n\n // Check for new line between brackets\n if (contentAfterBracket.includes('\\n')) return null\n\n // Check if brackets are closed\n if (nestedOpenBrackets < nestedCloseBrackets) return null\n\n if (nestedOpenBrackets === nestedCloseBrackets) {\n return contentAfterBracket.replace(/\\\\\\[/g, '[').replace(/\\\\\\]/g, ']')\n }\n\n return contentAfterBracket\n }\n\n handleKeydown(event) {\n if (this.suggestions.length === 0) {\n if (event.key === 'Enter') {\n event.preventDefault()\n this.submit()\n }\n return\n }\n\n switch (event.key) {\n case 'ArrowUp':\n event.preventDefault()\n this.selectedIndex = Math.max(0, this.selectedIndex - 1)\n this.updateSelectedSuggestion()\n break\n case 'ArrowDown':\n event.preventDefault()\n this.selectedIndex = Math.min(this.suggestions.length - 1, this.selectedIndex + 1)\n this.updateSelectedSuggestion()\n break\n case 'Tab', 'Enter':\n event.preventDefault()\n this.applySuggestion(this.suggestions[this.selectedIndex])\n break\n }\n\n }\n\n handleBlur(event) {\n // Use setTimeout to allow clicks on the suggestion list to be processed\n setTimeout(() => {\n if (this.suggestionList && !this.suggestionList.contains(document.activeElement)) {\n this.suggestions = []\n this.hideSuggestions()\n }\n }, 0)\n }\n\n updateSuggestions(cursorPosition) {\n if (this.suggestions.length === 0) {\n this.hideSuggestions()\n return\n }\n this.showSuggestions(cursorPosition)\n }\n\n showSuggestions(cursorPosition) {\n this.hideSuggestions()\n this.suggestionList = document.createElement('ul')\n this.suggestionList.classList.add('suggestion-list')\n this.suggestions.forEach((suggestion, index) => {\n const li = document.createElement('li')\n li.textContent = suggestion\n li.dataset.index = index\n if (index === 0) li.classList.add('selected')\n li.addEventListener('mousedown', () => this.handleSuggestionClick(suggestion))\n li.addEventListener('mouseenter', () => this.handleSuggestionHover(index))\n this.suggestionList.appendChild(li)\n })\n this.selectedIndex = 0\n this.inputTarget.parentNode.insertBefore(this.suggestionList, this.inputTarget.nextSibling)\n this.positionSuggestionList(cursorPosition)\n }\n\n hideSuggestions() {\n if (this.suggestionList) {\n this.suggestionList.remove()\n this.suggestionList = null\n }\n }\n\n positionSuggestionList(cursorPosition) {\n const inputRect = this.inputTarget.getBoundingClientRect()\n const lineHeight = parseInt(getComputedStyle(this.inputTarget).lineHeight)\n const lines = this.inputTarget.value.substr(0, cursorPosition).split('\\n')\n const cursorLine = lines.length - 1\n const cursorTop = cursorLine * lineHeight\n\n // Calculate the horizontal position of the cursor\n const textBeforeCursor = this.inputTarget.value.substring(0, cursorPosition)\n const tempElement = document.createElement('span')\n tempElement.style.font = getComputedStyle(this.inputTarget).font\n tempElement.style.whiteSpace = 'pre'\n tempElement.textContent = textBeforeCursor\n document.body.appendChild(tempElement)\n const cursorLeft = tempElement.offsetWidth\n document.body.removeChild(tempElement)\n\n this.suggestionList.style.position = 'absolute'\n this.suggestionList.style.top = `${cursorTop + lineHeight}px`\n this.suggestionList.style.left = `${cursorLeft + 16}px`\n }\n\n updateSelectedSuggestion() {\n const items = this.suggestionList.querySelectorAll('li')\n items.forEach((item, index) => {\n if (index === this.selectedIndex) {\n item.classList.add('selected')\n } else {\n item.classList.remove('selected')\n }\n })\n this.scrollSelectedSuggestionIntoView()\n }\n\n scrollSelectedSuggestionIntoView() {\n const selectedItem = this.suggestionList.querySelector('.selected')\n if (selectedItem) {\n const listRect = this.suggestionList.getBoundingClientRect()\n const itemRect = selectedItem.getBoundingClientRect()\n\n if (itemRect.bottom > listRect.bottom) {\n this.suggestionList.scrollTop += itemRect.bottom - listRect.bottom\n } else if (itemRect.top < listRect.top) {\n this.suggestionList.scrollTop -= listRect.top - itemRect.top\n }\n }\n }\n\n handleSuggestionClick(suggestion) {\n this.applySuggestion(suggestion)\n }\n\n handleSuggestionHover(index) {\n this.selectedIndex = index\n this.updateSelectedSuggestion()\n }\n\n applySuggestion(suggestion) {\n const cursorPosition = this.inputTarget.selectionStart\n const currentValue = this.inputTarget.value\n const lastOpenBracketIndex = currentValue.lastIndexOf('[', cursorPosition)\n const newValue = currentValue.slice(0, lastOpenBracketIndex) +\n `[${suggestion}]` +\n currentValue.slice(cursorPosition)\n this.inputTarget.value = newValue\n const newCursorPosition = lastOpenBracketIndex + suggestion.length + 2 // +2 for the brackets\n this.inputTarget.setSelectionRange(newCursorPosition, newCursorPosition)\n this.suggestions = []\n this.hideSuggestions()\n this.inputTarget.focus()\n this.submit()\n }\n\n useTemplate(event) {\n const template = event.currentTarget.dataset.template\n this.inputTarget.value = template\n this.inputTarget.focus()\n autosize.update(this.inputTarget)\n this.submit()\n }\n}\n", "/**!\n * Sortable 1.15.2\n * @author\tRubaXa <trash@rubaxa.org>\n * @author\towenm <owen23355@gmail.com>\n * @license MIT\n */\nfunction ownKeys(object, enumerableOnly) {\n var keys = Object.keys(object);\n if (Object.getOwnPropertySymbols) {\n var symbols = Object.getOwnPropertySymbols(object);\n if (enumerableOnly) {\n symbols = symbols.filter(function (sym) {\n return Object.getOwnPropertyDescriptor(object, sym).enumerable;\n });\n }\n keys.push.apply(keys, symbols);\n }\n return keys;\n}\nfunction _objectSpread2(target) {\n for (var i = 1; i < arguments.length; i++) {\n var source = arguments[i] != null ? arguments[i] : {};\n if (i % 2) {\n ownKeys(Object(source), true).forEach(function (key) {\n _defineProperty(target, key, source[key]);\n });\n } else if (Object.getOwnPropertyDescriptors) {\n Object.defineProperties(target, Object.getOwnPropertyDescriptors(source));\n } else {\n ownKeys(Object(source)).forEach(function (key) {\n Object.defineProperty(target, key, Object.getOwnPropertyDescriptor(source, key));\n });\n }\n }\n return target;\n}\nfunction _typeof(obj) {\n \"@babel/helpers - typeof\";\n\n if (typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\") {\n _typeof = function (obj) {\n return typeof obj;\n };\n } else {\n _typeof = function (obj) {\n return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj;\n };\n }\n return _typeof(obj);\n}\nfunction _defineProperty(obj, key, value) {\n if (key in obj) {\n Object.defineProperty(obj, key, {\n value: value,\n enumerable: true,\n configurable: true,\n writable: true\n });\n } else {\n obj[key] = value;\n }\n return obj;\n}\nfunction _extends() {\n _extends = Object.assign || function (target) {\n for (var i = 1; i < arguments.length; i++) {\n var source = arguments[i];\n for (var key in source) {\n if (Object.prototype.hasOwnProperty.call(source, key)) {\n target[key] = source[key];\n }\n }\n }\n return target;\n };\n return _extends.apply(this, arguments);\n}\nfunction _objectWithoutPropertiesLoose(source, excluded) {\n if (source == null) return {};\n var target = {};\n var sourceKeys = Object.keys(source);\n var key, i;\n for (i = 0; i < sourceKeys.length; i++) {\n key = sourceKeys[i];\n if (excluded.indexOf(key) >= 0) continue;\n target[key] = source[key];\n }\n return target;\n}\nfunction _objectWithoutProperties(source, excluded) {\n if (source == null) return {};\n var target = _objectWithoutPropertiesLoose(source, excluded);\n var key, i;\n if (Object.getOwnPropertySymbols) {\n var sourceSymbolKeys = Object.getOwnPropertySymbols(source);\n for (i = 0; i < sourceSymbolKeys.length; i++) {\n key = sourceSymbolKeys[i];\n if (excluded.indexOf(key) >= 0) continue;\n if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue;\n target[key] = source[key];\n }\n }\n return target;\n}\nfunction _toConsumableArray(arr) {\n return _arrayWithoutHoles(arr) || _iterableToArray(arr) || _unsupportedIterableToArray(arr) || _nonIterableSpread();\n}\nfunction _arrayWithoutHoles(arr) {\n if (Array.isArray(arr)) return _arrayLikeToArray(arr);\n}\nfunction _iterableToArray(iter) {\n if (typeof Symbol !== \"undefined\" && iter[Symbol.iterator] != null || iter[\"@@iterator\"] != null) return Array.from(iter);\n}\nfunction _unsupportedIterableToArray(o, minLen) {\n if (!o) return;\n if (typeof o === \"string\") return _arrayLikeToArray(o, minLen);\n var n = Object.prototype.toString.call(o).slice(8, -1);\n if (n === \"Object\" && o.constructor) n = o.constructor.name;\n if (n === \"Map\" || n === \"Set\") return Array.from(o);\n if (n === \"Arguments\" || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n)) return _arrayLikeToArray(o, minLen);\n}\nfunction _arrayLikeToArray(arr, len) {\n if (len == null || len > arr.length) len = arr.length;\n for (var i = 0, arr2 = new Array(len); i < len; i++) arr2[i] = arr[i];\n return arr2;\n}\nfunction _nonIterableSpread() {\n throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\");\n}\n\nvar version = \"1.15.2\";\n\nfunction userAgent(pattern) {\n if (typeof window !== 'undefined' && window.navigator) {\n return !! /*@__PURE__*/navigator.userAgent.match(pattern);\n }\n}\nvar IE11OrLess = userAgent(/(?:Trident.*rv[ :]?11\\.|msie|iemobile|Windows Phone)/i);\nvar Edge = userAgent(/Edge/i);\nvar FireFox = userAgent(/firefox/i);\nvar Safari = userAgent(/safari/i) && !userAgent(/chrome/i) && !userAgent(/android/i);\nvar IOS = userAgent(/iP(ad|od|hone)/i);\nvar ChromeForAndroid = userAgent(/chrome/i) && userAgent(/android/i);\n\nvar captureMode = {\n capture: false,\n passive: false\n};\nfunction on(el, event, fn) {\n el.addEventListener(event, fn, !IE11OrLess && captureMode);\n}\nfunction off(el, event, fn) {\n el.removeEventListener(event, fn, !IE11OrLess && captureMode);\n}\nfunction matches( /**HTMLElement*/el, /**String*/selector) {\n if (!selector) return;\n selector[0] === '>' && (selector = selector.substring(1));\n if (el) {\n try {\n if (el.matches) {\n return el.matches(selector);\n } else if (el.msMatchesSelector) {\n return el.msMatchesSelector(selector);\n } else if (el.webkitMatchesSelector) {\n return el.webkitMatchesSelector(selector);\n }\n } catch (_) {\n return false;\n }\n }\n return false;\n}\nfunction getParentOrHost(el) {\n return el.host && el !== document && el.host.nodeType ? el.host : el.parentNode;\n}\nfunction closest( /**HTMLElement*/el, /**String*/selector, /**HTMLElement*/ctx, includeCTX) {\n if (el) {\n ctx = ctx || document;\n do {\n if (selector != null && (selector[0] === '>' ? el.parentNode === ctx && matches(el, selector) : matches(el, selector)) || includeCTX && el === ctx) {\n return el;\n }\n if (el === ctx) break;\n /* jshint boss:true */\n } while (el = getParentOrHost(el));\n }\n return null;\n}\nvar R_SPACE = /\\s+/g;\nfunction toggleClass(el, name, state) {\n if (el && name) {\n if (el.classList) {\n el.classList[state ? 'add' : 'remove'](name);\n } else {\n var className = (' ' + el.className + ' ').replace(R_SPACE, ' ').replace(' ' + name + ' ', ' ');\n el.className = (className + (state ? ' ' + name : '')).replace(R_SPACE, ' ');\n }\n }\n}\nfunction css(el, prop, val) {\n var style = el && el.style;\n if (style) {\n if (val === void 0) {\n if (document.defaultView && document.defaultView.getComputedStyle) {\n val = document.defaultView.getComputedStyle(el, '');\n } else if (el.currentStyle) {\n val = el.currentStyle;\n }\n return prop === void 0 ? val : val[prop];\n } else {\n if (!(prop in style) && prop.indexOf('webkit') === -1) {\n prop = '-webkit-' + prop;\n }\n style[prop] = val + (typeof val === 'string' ? '' : 'px');\n }\n }\n}\nfunction matrix(el, selfOnly) {\n var appliedTransforms = '';\n if (typeof el === 'string') {\n appliedTransforms = el;\n } else {\n do {\n var transform = css(el, 'transform');\n if (transform && transform !== 'none') {\n appliedTransforms = transform + ' ' + appliedTransforms;\n }\n /* jshint boss:true */\n } while (!selfOnly && (el = el.parentNode));\n }\n var matrixFn = window.DOMMatrix || window.WebKitCSSMatrix || window.CSSMatrix || window.MSCSSMatrix;\n /*jshint -W056 */\n return matrixFn && new matrixFn(appliedTransforms);\n}\nfunction find(ctx, tagName, iterator) {\n if (ctx) {\n var list = ctx.getElementsByTagName(tagName),\n i = 0,\n n = list.length;\n if (iterator) {\n for (; i < n; i++) {\n iterator(list[i], i);\n }\n }\n return list;\n }\n return [];\n}\nfunction getWindowScrollingElement() {\n var scrollingElement = document.scrollingElement;\n if (scrollingElement) {\n return scrollingElement;\n } else {\n return document.documentElement;\n }\n}\n\n/**\r\n * Returns the \"bounding client rect\" of given element\r\n * @param {HTMLElement} el The element whose boundingClientRect is wanted\r\n * @param {[Boolean]} relativeToContainingBlock Whether the rect should be relative to the containing block of (including) the container\r\n * @param {[Boolean]} relativeToNonStaticParent Whether the rect should be relative to the relative parent of (including) the contaienr\r\n * @param {[Boolean]} undoScale Whether the container's scale() should be undone\r\n * @param {[HTMLElement]} container The parent the element will be placed in\r\n * @return {Object} The boundingClientRect of el, with specified adjustments\r\n */\nfunction getRect(el, relativeToContainingBlock, relativeToNonStaticParent, undoScale, container) {\n if (!el.getBoundingClientRect && el !== window) return;\n var elRect, top, left, bottom, right, height, width;\n if (el !== window && el.parentNode && el !== getWindowScrollingElement()) {\n elRect = el.getBoundingClientRect();\n top = elRect.top;\n left = elRect.left;\n bottom = elRect.bottom;\n right = elRect.right;\n height = elRect.height;\n width = elRect.width;\n } else {\n top = 0;\n left = 0;\n bottom = window.innerHeight;\n right = window.innerWidth;\n height = window.innerHeight;\n width = window.innerWidth;\n }\n if ((relativeToContainingBlock || relativeToNonStaticParent) && el !== window) {\n // Adjust for translate()\n container = container || el.parentNode;\n\n // solves #1123 (see: https://stackoverflow.com/a/37953806/6088312)\n // Not needed on <= IE11\n if (!IE11OrLess) {\n do {\n if (container && container.getBoundingClientRect && (css(container, 'transform') !== 'none' || relativeToNonStaticParent && css(container, 'position') !== 'static')) {\n var containerRect = container.getBoundingClientRect();\n\n // Set relative to edges of padding box of container\n top -= containerRect.top + parseInt(css(container, 'border-top-width'));\n left -= containerRect.left + parseInt(css(container, 'border-left-width'));\n bottom = top + elRect.height;\n right = left + elRect.width;\n break;\n }\n /* jshint boss:true */\n } while (container = container.parentNode);\n }\n }\n if (undoScale && el !== window) {\n // Adjust for scale()\n var elMatrix = matrix(container || el),\n scaleX = elMatrix && elMatrix.a,\n scaleY = elMatrix && elMatrix.d;\n if (elMatrix) {\n top /= scaleY;\n left /= scaleX;\n width /= scaleX;\n height /= scaleY;\n bottom = top + height;\n right = left + width;\n }\n }\n return {\n top: top,\n left: left,\n bottom: bottom,\n right: right,\n width: width,\n height: height\n };\n}\n\n/**\r\n * Checks if a side of an element is scrolled past a side of its parents\r\n * @param {HTMLElement} el The element who's side being scrolled out of view is in question\r\n * @param {String} elSide Side of the element in question ('top', 'left', 'right', 'bottom')\r\n * @param {String} parentSide Side of the parent in question ('top', 'left', 'right', 'bottom')\r\n * @return {HTMLElement} The parent scroll element that the el's side is scrolled past, or null if there is no such element\r\n */\nfunction isScrolledPast(el, elSide, parentSide) {\n var parent = getParentAutoScrollElement(el, true),\n elSideVal = getRect(el)[elSide];\n\n /* jshint boss:true */\n while (parent) {\n var parentSideVal = getRect(parent)[parentSide],\n visible = void 0;\n if (parentSide === 'top' || parentSide === 'left') {\n visible = elSideVal >= parentSideVal;\n } else {\n visible = elSideVal <= parentSideVal;\n }\n if (!visible) return parent;\n if (parent === getWindowScrollingElement()) break;\n parent = getParentAutoScrollElement(parent, false);\n }\n return false;\n}\n\n/**\r\n * Gets nth child of el, ignoring hidden children, sortable's elements (does not ignore clone if it's visible)\r\n * and non-draggable elements\r\n * @param {HTMLElement} el The parent element\r\n * @param {Number} childNum The index of the child\r\n * @param {Object} options Parent Sortable's options\r\n * @return {HTMLElement} The child at index childNum, or null if not found\r\n */\nfunction getChild(el, childNum, options, includeDragEl) {\n var currentChild = 0,\n i = 0,\n children = el.children;\n while (i < children.length) {\n if (children[i].style.display !== 'none' && children[i] !== Sortable.ghost && (includeDragEl || children[i] !== Sortable.dragged) && closest(children[i], options.draggable, el, false)) {\n if (currentChild === childNum) {\n return children[i];\n }\n currentChild++;\n }\n i++;\n }\n return null;\n}\n\n/**\r\n * Gets the last child in the el, ignoring ghostEl or invisible elements (clones)\r\n * @param {HTMLElement} el Parent element\r\n * @param {selector} selector Any other elements that should be ignored\r\n * @return {HTMLElement} The last child, ignoring ghostEl\r\n */\nfunction lastChild(el, selector) {\n var last = el.lastElementChild;\n while (last && (last === Sortable.ghost || css(last, 'display') === 'none' || selector && !matches(last, selector))) {\n last = last.previousElementSibling;\n }\n return last || null;\n}\n\n/**\r\n * Returns the index of an element within its parent for a selected set of\r\n * elements\r\n * @param {HTMLElement} el\r\n * @param {selector} selector\r\n * @return {number}\r\n */\nfunction index(el, selector) {\n var index = 0;\n if (!el || !el.parentNode) {\n return -1;\n }\n\n /* jshint boss:true */\n while (el = el.previousElementSibling) {\n if (el.nodeName.toUpperCase() !== 'TEMPLATE' && el !== Sortable.clone && (!selector || matches(el, selector))) {\n index++;\n }\n }\n return index;\n}\n\n/**\r\n * Returns the scroll offset of the given element, added with all the scroll offsets of parent elements.\r\n * The value is returned in real pixels.\r\n * @param {HTMLElement} el\r\n * @return {Array} Offsets in the format of [left, top]\r\n */\nfunction getRelativeScrollOffset(el) {\n var offsetLeft = 0,\n offsetTop = 0,\n winScroller = getWindowScrollingElement();\n if (el) {\n do {\n var elMatrix = matrix(el),\n scaleX = elMatrix.a,\n scaleY = elMatrix.d;\n offsetLeft += el.scrollLeft * scaleX;\n offsetTop += el.scrollTop * scaleY;\n } while (el !== winScroller && (el = el.parentNode));\n }\n return [offsetLeft, offsetTop];\n}\n\n/**\r\n * Returns the index of the object within the given array\r\n * @param {Array} arr Array that may or may not hold the object\r\n * @param {Object} obj An object that has a key-value pair unique to and identical to a key-value pair in the object you want to find\r\n * @return {Number} The index of the object in the array, or -1\r\n */\nfunction indexOfObject(arr, obj) {\n for (var i in arr) {\n if (!arr.hasOwnProperty(i)) continue;\n for (var key in obj) {\n if (obj.hasOwnProperty(key) && obj[key] === arr[i][key]) return Number(i);\n }\n }\n return -1;\n}\nfunction getParentAutoScrollElement(el, includeSelf) {\n // skip to window\n if (!el || !el.getBoundingClientRect) return getWindowScrollingElement();\n var elem = el;\n var gotSelf = false;\n do {\n // we don't need to get elem css if it isn't even overflowing in the first place (performance)\n if (elem.clientWidth < elem.scrollWidth || elem.clientHeight < elem.scrollHeight) {\n var elemCSS = css(elem);\n if (elem.clientWidth < elem.scrollWidth && (elemCSS.overflowX == 'auto' || elemCSS.overflowX == 'scroll') || elem.clientHeight < elem.scrollHeight && (elemCSS.overflowY == 'auto' || elemCSS.overflowY == 'scroll')) {\n if (!elem.getBoundingClientRect || elem === document.body) return getWindowScrollingElement();\n if (gotSelf || includeSelf) return elem;\n gotSelf = true;\n }\n }\n /* jshint boss:true */\n } while (elem = elem.parentNode);\n return getWindowScrollingElement();\n}\nfunction extend(dst, src) {\n if (dst && src) {\n for (var key in src) {\n if (src.hasOwnProperty(key)) {\n dst[key] = src[key];\n }\n }\n }\n return dst;\n}\nfunction isRectEqual(rect1, rect2) {\n return Math.round(rect1.top) === Math.round(rect2.top) && Math.round(rect1.left) === Math.round(rect2.left) && Math.round(rect1.height) === Math.round(rect2.height) && Math.round(rect1.width) === Math.round(rect2.width);\n}\nvar _throttleTimeout;\nfunction throttle(callback, ms) {\n return function () {\n if (!_throttleTimeout) {\n var args = arguments,\n _this = this;\n if (args.length === 1) {\n callback.call(_this, args[0]);\n } else {\n callback.apply(_this, args);\n }\n _throttleTimeout = setTimeout(function () {\n _throttleTimeout = void 0;\n }, ms);\n }\n };\n}\nfunction cancelThrottle() {\n clearTimeout(_throttleTimeout);\n _throttleTimeout = void 0;\n}\nfunction scrollBy(el, x, y) {\n el.scrollLeft += x;\n el.scrollTop += y;\n}\nfunction clone(el) {\n var Polymer = window.Polymer;\n var $ = window.jQuery || window.Zepto;\n if (Polymer && Polymer.dom) {\n return Polymer.dom(el).cloneNode(true);\n } else if ($) {\n return $(el).clone(true)[0];\n } else {\n return el.cloneNode(true);\n }\n}\nfunction setRect(el, rect) {\n css(el, 'position', 'absolute');\n css(el, 'top', rect.top);\n css(el, 'left', rect.left);\n css(el, 'width', rect.width);\n css(el, 'height', rect.height);\n}\nfunction unsetRect(el) {\n css(el, 'position', '');\n css(el, 'top', '');\n css(el, 'left', '');\n css(el, 'width', '');\n css(el, 'height', '');\n}\nfunction getChildContainingRectFromElement(container, options, ghostEl) {\n var rect = {};\n Array.from(container.children).forEach(function (child) {\n var _rect$left, _rect$top, _rect$right, _rect$bottom;\n if (!closest(child, options.draggable, container, false) || child.animated || child === ghostEl) return;\n var childRect = getRect(child);\n rect.left = Math.min((_rect$left = rect.left) !== null && _rect$left !== void 0 ? _rect$left : Infinity, childRect.left);\n rect.top = Math.min((_rect$top = rect.top) !== null && _rect$top !== void 0 ? _rect$top : Infinity, childRect.top);\n rect.right = Math.max((_rect$right = rect.right) !== null && _rect$right !== void 0 ? _rect$right : -Infinity, childRect.right);\n rect.bottom = Math.max((_rect$bottom = rect.bottom) !== null && _rect$bottom !== void 0 ? _rect$bottom : -Infinity, childRect.bottom);\n });\n rect.width = rect.right - rect.left;\n rect.height = rect.bottom - rect.top;\n rect.x = rect.left;\n rect.y = rect.top;\n return rect;\n}\nvar expando = 'Sortable' + new Date().getTime();\n\nfunction AnimationStateManager() {\n var animationStates = [],\n animationCallbackId;\n return {\n captureAnimationState: function captureAnimationState() {\n animationStates = [];\n if (!this.options.animation) return;\n var children = [].slice.call(this.el.children);\n children.forEach(function (child) {\n if (css(child, 'display') === 'none' || child === Sortable.ghost) return;\n animationStates.push({\n target: child,\n rect: getRect(child)\n });\n var fromRect = _objectSpread2({}, animationStates[animationStates.length - 1].rect);\n\n // If animating: compensate for current animation\n if (child.thisAnimationDuration) {\n var childMatrix = matrix(child, true);\n if (childMatrix) {\n fromRect.top -= childMatrix.f;\n fromRect.left -= childMatrix.e;\n }\n }\n child.fromRect = fromRect;\n });\n },\n addAnimationState: function addAnimationState(state) {\n animationStates.push(state);\n },\n removeAnimationState: function removeAnimationState(target) {\n animationStates.splice(indexOfObject(animationStates, {\n target: target\n }), 1);\n },\n animateAll: function animateAll(callback) {\n var _this = this;\n if (!this.options.animation) {\n clearTimeout(animationCallbackId);\n if (typeof callback === 'function') callback();\n return;\n }\n var animating = false,\n animationTime = 0;\n animationStates.forEach(function (state) {\n var time = 0,\n target = state.target,\n fromRect = target.fromRect,\n toRect = getRect(target),\n prevFromRect = target.prevFromRect,\n prevToRect = target.prevToRect,\n animatingRect = state.rect,\n targetMatrix = matrix(target, true);\n if (targetMatrix) {\n // Compensate for current animation\n toRect.top -= targetMatrix.f;\n toRect.left -= targetMatrix.e;\n }\n target.toRect = toRect;\n if (target.thisAnimationDuration) {\n // Could also check if animatingRect is between fromRect and toRect\n if (isRectEqual(prevFromRect, toRect) && !isRectEqual(fromRect, toRect) &&\n // Make sure animatingRect is on line between toRect & fromRect\n (animatingRect.top - toRect.top) / (animatingRect.left - toRect.left) === (fromRect.top - toRect.top) / (fromRect.left - toRect.left)) {\n // If returning to same place as started from animation and on same axis\n time = calculateRealTime(animatingRect, prevFromRect, prevToRect, _this.options);\n }\n }\n\n // if fromRect != toRect: animate\n if (!isRectEqual(toRect, fromRect)) {\n target.prevFromRect = fromRect;\n target.prevToRect = toRect;\n if (!time) {\n time = _this.options.animation;\n }\n _this.animate(target, animatingRect, toRect, time);\n }\n if (time) {\n animating = true;\n animationTime = Math.max(animationTime, time);\n clearTimeout(target.animationResetTimer);\n target.animationResetTimer = setTimeout(function () {\n target.animationTime = 0;\n target.prevFromRect = null;\n target.fromRect = null;\n target.prevToRect = null;\n target.thisAnimationDuration = null;\n }, time);\n target.thisAnimationDuration = time;\n }\n });\n clearTimeout(animationCallbackId);\n if (!animating) {\n if (typeof callback === 'function') callback();\n } else {\n animationCallbackId = setTimeout(function () {\n if (typeof callback === 'function') callback();\n }, animationTime);\n }\n animationStates = [];\n },\n animate: function animate(target, currentRect, toRect, duration) {\n if (duration) {\n css(target, 'transition', '');\n css(target, 'transform', '');\n var elMatrix = matrix(this.el),\n scaleX = elMatrix && elMatrix.a,\n scaleY = elMatrix && elMatrix.d,\n translateX = (currentRect.left - toRect.left) / (scaleX || 1),\n translateY = (currentRect.top - toRect.top) / (scaleY || 1);\n target.animatingX = !!translateX;\n target.animatingY = !!translateY;\n css(target, 'transform', 'translate3d(' + translateX + 'px,' + translateY + 'px,0)');\n this.forRepaintDummy = repaint(target); // repaint\n\n css(target, 'transition', 'transform ' + duration + 'ms' + (this.options.easing ? ' ' + this.options.easing : ''));\n css(target, 'transform', 'translate3d(0,0,0)');\n typeof target.animated === 'number' && clearTimeout(target.animated);\n target.animated = setTimeout(function () {\n css(target, 'transition', '');\n css(target, 'transform', '');\n target.animated = false;\n target.animatingX = false;\n target.animatingY = false;\n }, duration);\n }\n }\n };\n}\nfunction repaint(target) {\n return target.offsetWidth;\n}\nfunction calculateRealTime(animatingRect, fromRect, toRect, options) {\n return Math.sqrt(Math.pow(fromRect.top - animatingRect.top, 2) + Math.pow(fromRect.left - animatingRect.left, 2)) / Math.sqrt(Math.pow(fromRect.top - toRect.top, 2) + Math.pow(fromRect.left - toRect.left, 2)) * options.animation;\n}\n\nvar plugins = [];\nvar defaults = {\n initializeByDefault: true\n};\nvar PluginManager = {\n mount: function mount(plugin) {\n // Set default static properties\n for (var option in defaults) {\n if (defaults.hasOwnProperty(option) && !(option in plugin)) {\n plugin[option] = defaults[option];\n }\n }\n plugins.forEach(function (p) {\n if (p.pluginName === plugin.pluginName) {\n throw \"Sortable: Cannot mount plugin \".concat(plugin.pluginName, \" more than once\");\n }\n });\n plugins.push(plugin);\n },\n pluginEvent: function pluginEvent(eventName, sortable, evt) {\n var _this = this;\n this.eventCanceled = false;\n evt.cancel = function () {\n _this.eventCanceled = true;\n };\n var eventNameGlobal = eventName + 'Global';\n plugins.forEach(function (plugin) {\n if (!sortable[plugin.pluginName]) return;\n // Fire global events if it exists in this sortable\n if (sortable[plugin.pluginName][eventNameGlobal]) {\n sortable[plugin.pluginName][eventNameGlobal](_objectSpread2({\n sortable: sortable\n }, evt));\n }\n\n // Only fire plugin event if plugin is enabled in this sortable,\n // and plugin has event defined\n if (sortable.options[plugin.pluginName] && sortable[plugin.pluginName][eventName]) {\n sortable[plugin.pluginName][eventName](_objectSpread2({\n sortable: sortable\n }, evt));\n }\n });\n },\n initializePlugins: function initializePlugins(sortable, el, defaults, options) {\n plugins.forEach(function (plugin) {\n var pluginName = plugin.pluginName;\n if (!sortable.options[pluginName] && !plugin.initializeByDefault) return;\n var initialized = new plugin(sortable, el, sortable.options);\n initialized.sortable = sortable;\n initialized.options = sortable.options;\n sortable[pluginName] = initialized;\n\n // Add default options from plugin\n _extends(defaults, initialized.defaults);\n });\n for (var option in sortable.options) {\n if (!sortable.options.hasOwnProperty(option)) continue;\n var modified = this.modifyOption(sortable, option, sortable.options[option]);\n if (typeof modified !== 'undefined') {\n sortable.options[option] = modified;\n }\n }\n },\n getEventProperties: function getEventProperties(name, sortable) {\n var eventProperties = {};\n plugins.forEach(function (plugin) {\n if (typeof plugin.eventProperties !== 'function') return;\n _extends(eventProperties, plugin.eventProperties.call(sortable[plugin.pluginName], name));\n });\n return eventProperties;\n },\n modifyOption: function modifyOption(sortable, name, value) {\n var modifiedValue;\n plugins.forEach(function (plugin) {\n // Plugin must exist on the Sortable\n if (!sortable[plugin.pluginName]) return;\n\n // If static option listener exists for this option, call in the context of the Sortable's instance of this plugin\n if (plugin.optionListeners && typeof plugin.optionListeners[name] === 'function') {\n modifiedValue = plugin.optionListeners[name].call(sortable[plugin.pluginName], value);\n }\n });\n return modifiedValue;\n }\n};\n\nfunction dispatchEvent(_ref) {\n var sortable = _ref.sortable,\n rootEl = _ref.rootEl,\n name = _ref.name,\n targetEl = _ref.targetEl,\n cloneEl = _ref.cloneEl,\n toEl = _ref.toEl,\n fromEl = _ref.fromEl,\n oldIndex = _ref.oldIndex,\n newIndex = _ref.newIndex,\n oldDraggableIndex = _ref.oldDraggableIndex,\n newDraggableIndex = _ref.newDraggableIndex,\n originalEvent = _ref.originalEvent,\n putSortable = _ref.putSortable,\n extraEventProperties = _ref.extraEventProperties;\n sortable = sortable || rootEl && rootEl[expando];\n if (!sortable) return;\n var evt,\n options = sortable.options,\n onName = 'on' + name.charAt(0).toUpperCase() + name.substr(1);\n // Support for new CustomEvent feature\n if (window.CustomEvent && !IE11OrLess && !Edge) {\n evt = new CustomEvent(name, {\n bubbles: true,\n cancelable: true\n });\n } else {\n evt = document.createEvent('Event');\n evt.initEvent(name, true, true);\n }\n evt.to = toEl || rootEl;\n evt.from = fromEl || rootEl;\n evt.item = targetEl || rootEl;\n evt.clone = cloneEl;\n evt.oldIndex = oldIndex;\n evt.newIndex = newIndex;\n evt.oldDraggableIndex = oldDraggableIndex;\n evt.newDraggableIndex = newDraggableIndex;\n evt.originalEvent = originalEvent;\n evt.pullMode = putSortable ? putSortable.lastPutMode : undefined;\n var allEventProperties = _objectSpread2(_objectSpread2({}, extraEventProperties), PluginManager.getEventProperties(name, sortable));\n for (var option in allEventProperties) {\n evt[option] = allEventProperties[option];\n }\n if (rootEl) {\n rootEl.dispatchEvent(evt);\n }\n if (options[onName]) {\n options[onName].call(sortable, evt);\n }\n}\n\nvar _excluded = [\"evt\"];\nvar pluginEvent = function pluginEvent(eventName, sortable) {\n var _ref = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {},\n originalEvent = _ref.evt,\n data = _objectWithoutProperties(_ref, _excluded);\n PluginManager.pluginEvent.bind(Sortable)(eventName, sortable, _objectSpread2({\n dragEl: dragEl,\n parentEl: parentEl,\n ghostEl: ghostEl,\n rootEl: rootEl,\n nextEl: nextEl,\n lastDownEl: lastDownEl,\n cloneEl: cloneEl,\n cloneHidden: cloneHidden,\n dragStarted: moved,\n putSortable: putSortable,\n activeSortable: Sortable.active,\n originalEvent: originalEvent,\n oldIndex: oldIndex,\n oldDraggableIndex: oldDraggableIndex,\n newIndex: newIndex,\n newDraggableIndex: newDraggableIndex,\n hideGhostForTarget: _hideGhostForTarget,\n unhideGhostForTarget: _unhideGhostForTarget,\n cloneNowHidden: function cloneNowHidden() {\n cloneHidden = true;\n },\n cloneNowShown: function cloneNowShown() {\n cloneHidden = false;\n },\n dispatchSortableEvent: function dispatchSortableEvent(name) {\n _dispatchEvent({\n sortable: sortable,\n name: name,\n originalEvent: originalEvent\n });\n }\n }, data));\n};\nfunction _dispatchEvent(info) {\n dispatchEvent(_objectSpread2({\n putSortable: putSortable,\n cloneEl: cloneEl,\n targetEl: dragEl,\n rootEl: rootEl,\n oldIndex: oldIndex,\n oldDraggableIndex: oldDraggableIndex,\n newIndex: newIndex,\n newDraggableIndex: newDraggableIndex\n }, info));\n}\nvar dragEl,\n parentEl,\n ghostEl,\n rootEl,\n nextEl,\n lastDownEl,\n cloneEl,\n cloneHidden,\n oldIndex,\n newIndex,\n oldDraggableIndex,\n newDraggableIndex,\n activeGroup,\n putSortable,\n awaitingDragStarted = false,\n ignoreNextClick = false,\n sortables = [],\n tapEvt,\n touchEvt,\n lastDx,\n lastDy,\n tapDistanceLeft,\n tapDistanceTop,\n moved,\n lastTarget,\n lastDirection,\n pastFirstInvertThresh = false,\n isCircumstantialInvert = false,\n targetMoveDistance,\n // For positioning ghost absolutely\n ghostRelativeParent,\n ghostRelativeParentInitialScroll = [],\n // (left, top)\n\n _silent = false,\n savedInputChecked = [];\n\n/** @const */\nvar documentExists = typeof document !== 'undefined',\n PositionGhostAbsolutely = IOS,\n CSSFloatProperty = Edge || IE11OrLess ? 'cssFloat' : 'float',\n // This will not pass for IE9, because IE9 DnD only works on anchors\n supportDraggable = documentExists && !ChromeForAndroid && !IOS && 'draggable' in document.createElement('div'),\n supportCssPointerEvents = function () {\n if (!documentExists) return;\n // false when <= IE11\n if (IE11OrLess) {\n return false;\n }\n var el = document.createElement('x');\n el.style.cssText = 'pointer-events:auto';\n return el.style.pointerEvents === 'auto';\n }(),\n _detectDirection = function _detectDirection(el, options) {\n var elCSS = css(el),\n elWidth = parseInt(elCSS.width) - parseInt(elCSS.paddingLeft) - parseInt(elCSS.paddingRight) - parseInt(elCSS.borderLeftWidth) - parseInt(elCSS.borderRightWidth),\n child1 = getChild(el, 0, options),\n child2 = getChild(el, 1, options),\n firstChildCSS = child1 && css(child1),\n secondChildCSS = child2 && css(child2),\n firstChildWidth = firstChildCSS && parseInt(firstChildCSS.marginLeft) + parseInt(firstChildCSS.marginRight) + getRect(child1).width,\n secondChildWidth = secondChildCSS && parseInt(secondChildCSS.marginLeft) + parseInt(secondChildCSS.marginRight) + getRect(child2).width;\n if (elCSS.display === 'flex') {\n return elCSS.flexDirection === 'column' || elCSS.flexDirection === 'column-reverse' ? 'vertical' : 'horizontal';\n }\n if (elCSS.display === 'grid') {\n return elCSS.gridTemplateColumns.split(' ').length <= 1 ? 'vertical' : 'horizontal';\n }\n if (child1 && firstChildCSS[\"float\"] && firstChildCSS[\"float\"] !== 'none') {\n var touchingSideChild2 = firstChildCSS[\"float\"] === 'left' ? 'left' : 'right';\n return child2 && (secondChildCSS.clear === 'both' || secondChildCSS.clear === touchingSideChild2) ? 'vertical' : 'horizontal';\n }\n return child1 && (firstChildCSS.display === 'block' || firstChildCSS.display === 'flex' || firstChildCSS.display === 'table' || firstChildCSS.display === 'grid' || firstChildWidth >= elWidth && elCSS[CSSFloatProperty] === 'none' || child2 && elCSS[CSSFloatProperty] === 'none' && firstChildWidth + secondChildWidth > elWidth) ? 'vertical' : 'horizontal';\n },\n _dragElInRowColumn = function _dragElInRowColumn(dragRect, targetRect, vertical) {\n var dragElS1Opp = vertical ? dragRect.left : dragRect.top,\n dragElS2Opp = vertical ? dragRect.right : dragRect.bottom,\n dragElOppLength = vertical ? dragRect.width : dragRect.height,\n targetS1Opp = vertical ? targetRect.left : targetRect.top,\n targetS2Opp = vertical ? targetRect.right : targetRect.bottom,\n targetOppLength = vertical ? targetRect.width : targetRect.height;\n return dragElS1Opp === targetS1Opp || dragElS2Opp === targetS2Opp || dragElS1Opp + dragElOppLength / 2 === targetS1Opp + targetOppLength / 2;\n },\n /**\r\n * Detects first nearest empty sortable to X and Y position using emptyInsertThreshold.\r\n * @param {Number} x X position\r\n * @param {Number} y Y position\r\n * @return {HTMLElement} Element of the first found nearest Sortable\r\n */\n _detectNearestEmptySortable = function _detectNearestEmptySortable(x, y) {\n var ret;\n sortables.some(function (sortable) {\n var threshold = sortable[expando].options.emptyInsertThreshold;\n if (!threshold || lastChild(sortable)) return;\n var rect = getRect(sortable),\n insideHorizontally = x >= rect.left - threshold && x <= rect.right + threshold,\n insideVertically = y >= rect.top - threshold && y <= rect.bottom + threshold;\n if (insideHorizontally && insideVertically) {\n return ret = sortable;\n }\n });\n return ret;\n },\n _prepareGroup = function _prepareGroup(options) {\n function toFn(value, pull) {\n return function (to, from, dragEl, evt) {\n var sameGroup = to.options.group.name && from.options.group.name && to.options.group.name === from.options.group.name;\n if (value == null && (pull || sameGroup)) {\n // Default pull value\n // Default pull and put value if same group\n return true;\n } else if (value == null || value === false) {\n return false;\n } else if (pull && value === 'clone') {\n return value;\n } else if (typeof value === 'function') {\n return toFn(value(to, from, dragEl, evt), pull)(to, from, dragEl, evt);\n } else {\n var otherGroup = (pull ? to : from).options.group.name;\n return value === true || typeof value === 'string' && value === otherGroup || value.join && value.indexOf(otherGroup) > -1;\n }\n };\n }\n var group = {};\n var originalGroup = options.group;\n if (!originalGroup || _typeof(originalGroup) != 'object') {\n originalGroup = {\n name: originalGroup\n };\n }\n group.name = originalGroup.name;\n group.checkPull = toFn(originalGroup.pull, true);\n group.checkPut = toFn(originalGroup.put);\n group.revertClone = originalGroup.revertClone;\n options.group = group;\n },\n _hideGhostForTarget = function _hideGhostForTarget() {\n if (!supportCssPointerEvents && ghostEl) {\n css(ghostEl, 'display', 'none');\n }\n },\n _unhideGhostForTarget = function _unhideGhostForTarget() {\n if (!supportCssPointerEvents && ghostEl) {\n css(ghostEl, 'display', '');\n }\n };\n\n// #1184 fix - Prevent click event on fallback if dragged but item not changed position\nif (documentExists && !ChromeForAndroid) {\n document.addEventListener('click', function (evt) {\n if (ignoreNextClick) {\n evt.preventDefault();\n evt.stopPropagation && evt.stopPropagation();\n evt.stopImmediatePropagation && evt.stopImmediatePropagation();\n ignoreNextClick = false;\n return false;\n }\n }, true);\n}\nvar nearestEmptyInsertDetectEvent = function nearestEmptyInsertDetectEvent(evt) {\n if (dragEl) {\n evt = evt.touches ? evt.touches[0] : evt;\n var nearest = _detectNearestEmptySortable(evt.clientX, evt.clientY);\n if (nearest) {\n // Create imitation event\n var event = {};\n for (var i in evt) {\n if (evt.hasOwnProperty(i)) {\n event[i] = evt[i];\n }\n }\n event.target = event.rootEl = nearest;\n event.preventDefault = void 0;\n event.stopPropagation = void 0;\n nearest[expando]._onDragOver(event);\n }\n }\n};\nvar _checkOutsideTargetEl = function _checkOutsideTargetEl(evt) {\n if (dragEl) {\n dragEl.parentNode[expando]._isOutsideThisEl(evt.target);\n }\n};\n\n/**\r\n * @class Sortable\r\n * @param {HTMLElement} el\r\n * @param {Object} [options]\r\n */\nfunction Sortable(el, options) {\n if (!(el && el.nodeType && el.nodeType === 1)) {\n throw \"Sortable: `el` must be an HTMLElement, not \".concat({}.toString.call(el));\n }\n this.el = el; // root element\n this.options = options = _extends({}, options);\n\n // Export instance\n el[expando] = this;\n var defaults = {\n group: null,\n sort: true,\n disabled: false,\n store: null,\n handle: null,\n draggable: /^[uo]l$/i.test(el.nodeName) ? '>li' : '>*',\n swapThreshold: 1,\n // percentage; 0 <= x <= 1\n invertSwap: false,\n // invert always\n invertedSwapThreshold: null,\n // will be set to same as swapThreshold if default\n removeCloneOnHide: true,\n direction: function direction() {\n return _detectDirection(el, this.options);\n },\n ghostClass: 'sortable-ghost',\n chosenClass: 'sortable-chosen',\n dragClass: 'sortable-drag',\n ignore: 'a, img',\n filter: null,\n preventOnFilter: true,\n animation: 0,\n easing: null,\n setData: function setData(dataTransfer, dragEl) {\n dataTransfer.setData('Text', dragEl.textContent);\n },\n dropBubble: false,\n dragoverBubble: false,\n dataIdAttr: 'data-id',\n delay: 0,\n delayOnTouchOnly: false,\n touchStartThreshold: (Number.parseInt ? Number : window).parseInt(window.devicePixelRatio, 10) || 1,\n forceFallback: false,\n fallbackClass: 'sortable-fallback',\n fallbackOnBody: false,\n fallbackTolerance: 0,\n fallbackOffset: {\n x: 0,\n y: 0\n },\n supportPointer: Sortable.supportPointer !== false && 'PointerEvent' in window && !Safari,\n emptyInsertThreshold: 5\n };\n PluginManager.initializePlugins(this, el, defaults);\n\n // Set default options\n for (var name in defaults) {\n !(name in options) && (options[name] = defaults[name]);\n }\n _prepareGroup(options);\n\n // Bind all private methods\n for (var fn in this) {\n if (fn.charAt(0) === '_' && typeof this[fn] === 'function') {\n this[fn] = this[fn].bind(this);\n }\n }\n\n // Setup drag mode\n this.nativeDraggable = options.forceFallback ? false : supportDraggable;\n if (this.nativeDraggable) {\n // Touch start threshold cannot be greater than the native dragstart threshold\n this.options.touchStartThreshold = 1;\n }\n\n // Bind events\n if (options.supportPointer) {\n on(el, 'pointerdown', this._onTapStart);\n } else {\n on(el, 'mousedown', this._onTapStart);\n on(el, 'touchstart', this._onTapStart);\n }\n if (this.nativeDraggable) {\n on(el, 'dragover', this);\n on(el, 'dragenter', this);\n }\n sortables.push(this.el);\n\n // Restore sorting\n options.store && options.store.get && this.sort(options.store.get(this) || []);\n\n // Add animation state manager\n _extends(this, AnimationStateManager());\n}\nSortable.prototype = /** @lends Sortable.prototype */{\n constructor: Sortable,\n _isOutsideThisEl: function _isOutsideThisEl(target) {\n if (!this.el.contains(target) && target !== this.el) {\n lastTarget = null;\n }\n },\n _getDirection: function _getDirection(evt, target) {\n return typeof this.options.direction === 'function' ? this.options.direction.call(this, evt, target, dragEl) : this.options.direction;\n },\n _onTapStart: function _onTapStart( /** Event|TouchEvent */evt) {\n if (!evt.cancelable) return;\n var _this = this,\n el = this.el,\n options = this.options,\n preventOnFilter = options.preventOnFilter,\n type = evt.type,\n touch = evt.touches && evt.touches[0] || evt.pointerType && evt.pointerType === 'touch' && evt,\n target = (touch || evt).target,\n originalTarget = evt.target.shadowRoot && (evt.path && evt.path[0] || evt.composedPath && evt.composedPath()[0]) || target,\n filter = options.filter;\n _saveInputCheckedState(el);\n\n // Don't trigger start event when an element is been dragged, otherwise the evt.oldindex always wrong when set option.group.\n if (dragEl) {\n return;\n }\n if (/mousedown|pointerdown/.test(type) && evt.button !== 0 || options.disabled) {\n return; // only left button and enabled\n }\n\n // cancel dnd if original target is content editable\n if (originalTarget.isContentEditable) {\n return;\n }\n\n // Safari ignores further event handling after mousedown\n if (!this.nativeDraggable && Safari && target && target.tagName.toUpperCase() === 'SELECT') {\n return;\n }\n target = closest(target, options.draggable, el, false);\n if (target && target.animated) {\n return;\n }\n if (lastDownEl === target) {\n // Ignoring duplicate `down`\n return;\n }\n\n // Get the index of the dragged element within its parent\n oldIndex = index(target);\n oldDraggableIndex = index(target, options.draggable);\n\n // Check filter\n if (typeof filter === 'function') {\n if (filter.call(this, evt, target, this)) {\n _dispatchEvent({\n sortable: _this,\n rootEl: originalTarget,\n name: 'filter',\n targetEl: target,\n toEl: el,\n fromEl: el\n });\n pluginEvent('filter', _this, {\n evt: evt\n });\n preventOnFilter && evt.cancelable && evt.preventDefault();\n return; // cancel dnd\n }\n } else if (filter) {\n filter = filter.split(',').some(function (criteria) {\n criteria = closest(originalTarget, criteria.trim(), el, false);\n if (criteria) {\n _dispatchEvent({\n sortable: _this,\n rootEl: criteria,\n name: 'filter',\n targetEl: target,\n fromEl: el,\n toEl: el\n });\n pluginEvent('filter', _this, {\n evt: evt\n });\n return true;\n }\n });\n if (filter) {\n preventOnFilter && evt.cancelable && evt.preventDefault();\n return; // cancel dnd\n }\n }\n if (options.handle && !closest(originalTarget, options.handle, el, false)) {\n return;\n }\n\n // Prepare `dragstart`\n this._prepareDragStart(evt, touch, target);\n },\n _prepareDragStart: function _prepareDragStart( /** Event */evt, /** Touch */touch, /** HTMLElement */target) {\n var _this = this,\n el = _this.el,\n options = _this.options,\n ownerDocument = el.ownerDocument,\n dragStartFn;\n if (target && !dragEl && target.parentNode === el) {\n var dragRect = getRect(target);\n rootEl = el;\n dragEl = target;\n parentEl = dragEl.parentNode;\n nextEl = dragEl.nextSibling;\n lastDownEl = target;\n activeGroup = options.group;\n Sortable.dragged = dragEl;\n tapEvt = {\n target: dragEl,\n clientX: (touch || evt).clientX,\n clientY: (touch || evt).clientY\n };\n tapDistanceLeft = tapEvt.clientX - dragRect.left;\n tapDistanceTop = tapEvt.clientY - dragRect.top;\n this._lastX = (touch || evt).clientX;\n this._lastY = (touch || evt).clientY;\n dragEl.style['will-change'] = 'all';\n dragStartFn = function dragStartFn() {\n pluginEvent('delayEnded', _this, {\n evt: evt\n });\n if (Sortable.eventCanceled) {\n _this._onDrop();\n return;\n }\n // Delayed drag has been triggered\n // we can re-enable the events: touchmove/mousemove\n _this._disableDelayedDragEvents();\n if (!FireFox && _this.nativeDraggable) {\n dragEl.draggable = true;\n }\n\n // Bind the events: dragstart/dragend\n _this._triggerDragStart(evt, touch);\n\n // Drag start event\n _dispatchEvent({\n sortable: _this,\n name: 'choose',\n originalEvent: evt\n });\n\n // Chosen item\n toggleClass(dragEl, options.chosenClass, true);\n };\n\n // Disable \"draggable\"\n options.ignore.split(',').forEach(function (criteria) {\n find(dragEl, criteria.trim(), _disableDraggable);\n });\n on(ownerDocument, 'dragover', nearestEmptyInsertDetectEvent);\n on(ownerDocument, 'mousemove', nearestEmptyInsertDetectEvent);\n on(ownerDocument, 'touchmove', nearestEmptyInsertDetectEvent);\n on(ownerDocument, 'mouseup', _this._onDrop);\n on(ownerDocument, 'touchend', _this._onDrop);\n on(ownerDocument, 'touchcancel', _this._onDrop);\n\n // Make dragEl draggable (must be before delay for FireFox)\n if (FireFox && this.nativeDraggable) {\n this.options.touchStartThreshold = 4;\n dragEl.draggable = true;\n }\n pluginEvent('delayStart', this, {\n evt: evt\n });\n\n // Delay is impossible for native DnD in Edge or IE\n if (options.delay && (!options.delayOnTouchOnly || touch) && (!this.nativeDraggable || !(Edge || IE11OrLess))) {\n if (Sortable.eventCanceled) {\n this._onDrop();\n return;\n }\n // If the user moves the pointer or let go the click or touch\n // before the delay has been reached:\n // disable the delayed drag\n on(ownerDocument, 'mouseup', _this._disableDelayedDrag);\n on(ownerDocument, 'touchend', _this._disableDelayedDrag);\n on(ownerDocument, 'touchcancel', _this._disableDelayedDrag);\n on(ownerDocument, 'mousemove', _this._delayedDragTouchMoveHandler);\n on(ownerDocument, 'touchmove', _this._delayedDragTouchMoveHandler);\n options.supportPointer && on(ownerDocument, 'pointermove', _this._delayedDragTouchMoveHandler);\n _this._dragStartTimer = setTimeout(dragStartFn, options.delay);\n } else {\n dragStartFn();\n }\n }\n },\n _delayedDragTouchMoveHandler: function _delayedDragTouchMoveHandler( /** TouchEvent|PointerEvent **/e) {\n var touch = e.touches ? e.touches[0] : e;\n if (Math.max(Math.abs(touch.clientX - this._lastX), Math.abs(touch.clientY - this._lastY)) >= Math.floor(this.options.touchStartThreshold / (this.nativeDraggable && window.devicePixelRatio || 1))) {\n this._disableDelayedDrag();\n }\n },\n _disableDelayedDrag: function _disableDelayedDrag() {\n dragEl && _disableDraggable(dragEl);\n clearTimeout(this._dragStartTimer);\n this._disableDelayedDragEvents();\n },\n _disableDelayedDragEvents: function _disableDelayedDragEvents() {\n var ownerDocument = this.el.ownerDocument;\n off(ownerDocument, 'mouseup', this._disableDelayedDrag);\n off(ownerDocument, 'touchend', this._disableDelayedDrag);\n off(ownerDocument, 'touchcancel', this._disableDelayedDrag);\n off(ownerDocument, 'mousemove', this._delayedDragTouchMoveHandler);\n off(ownerDocument, 'touchmove', this._delayedDragTouchMoveHandler);\n off(ownerDocument, 'pointermove', this._delayedDragTouchMoveHandler);\n },\n _triggerDragStart: function _triggerDragStart( /** Event */evt, /** Touch */touch) {\n touch = touch || evt.pointerType == 'touch' && evt;\n if (!this.nativeDraggable || touch) {\n if (this.options.supportPointer) {\n on(document, 'pointermove', this._onTouchMove);\n } else if (touch) {\n on(document, 'touchmove', this._onTouchMove);\n } else {\n on(document, 'mousemove', this._onTouchMove);\n }\n } else {\n on(dragEl, 'dragend', this);\n on(rootEl, 'dragstart', this._onDragStart);\n }\n try {\n if (document.selection) {\n // Timeout neccessary for IE9\n _nextTick(function () {\n document.selection.empty();\n });\n } else {\n window.getSelection().removeAllRanges();\n }\n } catch (err) {}\n },\n _dragStarted: function _dragStarted(fallback, evt) {\n awaitingDragStarted = false;\n if (rootEl && dragEl) {\n pluginEvent('dragStarted', this, {\n evt: evt\n });\n if (this.nativeDraggable) {\n on(document, 'dragover', _checkOutsideTargetEl);\n }\n var options = this.options;\n\n // Apply effect\n !fallback && toggleClass(dragEl, options.dragClass, false);\n toggleClass(dragEl, options.ghostClass, true);\n Sortable.active = this;\n fallback && this._appendGhost();\n\n // Drag start event\n _dispatchEvent({\n sortable: this,\n name: 'start',\n originalEvent: evt\n });\n } else {\n this._nulling();\n }\n },\n _emulateDragOver: function _emulateDragOver() {\n if (touchEvt) {\n this._lastX = touchEvt.clientX;\n this._lastY = touchEvt.clientY;\n _hideGhostForTarget();\n var target = document.elementFromPoint(touchEvt.clientX, touchEvt.clientY);\n var parent = target;\n while (target && target.shadowRoot) {\n target = target.shadowRoot.elementFromPoint(touchEvt.clientX, touchEvt.clientY);\n if (target === parent) break;\n parent = target;\n }\n dragEl.parentNode[expando]._isOutsideThisEl(target);\n if (parent) {\n do {\n if (parent[expando]) {\n var inserted = void 0;\n inserted = parent[expando]._onDragOver({\n clientX: touchEvt.clientX,\n clientY: touchEvt.clientY,\n target: target,\n rootEl: parent\n });\n if (inserted && !this.options.dragoverBubble) {\n break;\n }\n }\n target = parent; // store last element\n }\n /* jshint boss:true */ while (parent = parent.parentNode);\n }\n _unhideGhostForTarget();\n }\n },\n _onTouchMove: function _onTouchMove( /**TouchEvent*/evt) {\n if (tapEvt) {\n var options = this.options,\n fallbackTolerance = options.fallbackTolerance,\n fallbackOffset = options.fallbackOffset,\n touch = evt.touches ? evt.touches[0] : evt,\n ghostMatrix = ghostEl && matrix(ghostEl, true),\n scaleX = ghostEl && ghostMatrix && ghostMatrix.a,\n scaleY = ghostEl && ghostMatrix && ghostMatrix.d,\n relativeScrollOffset = PositionGhostAbsolutely && ghostRelativeParent && getRelativeScrollOffset(ghostRelativeParent),\n dx = (touch.clientX - tapEvt.clientX + fallbackOffset.x) / (scaleX || 1) + (relativeScrollOffset ? relativeScrollOffset[0] - ghostRelativeParentInitialScroll[0] : 0) / (scaleX || 1),\n dy = (touch.clientY - tapEvt.clientY + fallbackOffset.y) / (scaleY || 1) + (relativeScrollOffset ? relativeScrollOffset[1] - ghostRelativeParentInitialScroll[1] : 0) / (scaleY || 1);\n\n // only set the status to dragging, when we are actually dragging\n if (!Sortable.active && !awaitingDragStarted) {\n if (fallbackTolerance && Math.max(Math.abs(touch.clientX - this._lastX), Math.abs(touch.clientY - this._lastY)) < fallbackTolerance) {\n return;\n }\n this._onDragStart(evt, true);\n }\n if (ghostEl) {\n if (ghostMatrix) {\n ghostMatrix.e += dx - (lastDx || 0);\n ghostMatrix.f += dy - (lastDy || 0);\n } else {\n ghostMatrix = {\n a: 1,\n b: 0,\n c: 0,\n d: 1,\n e: dx,\n f: dy\n };\n }\n var cssMatrix = \"matrix(\".concat(ghostMatrix.a, \",\").concat(ghostMatrix.b, \",\").concat(ghostMatrix.c, \",\").concat(ghostMatrix.d, \",\").concat(ghostMatrix.e, \",\").concat(ghostMatrix.f, \")\");\n css(ghostEl, 'webkitTransform', cssMatrix);\n css(ghostEl, 'mozTransform', cssMatrix);\n css(ghostEl, 'msTransform', cssMatrix);\n css(ghostEl, 'transform', cssMatrix);\n lastDx = dx;\n lastDy = dy;\n touchEvt = touch;\n }\n evt.cancelable && evt.preventDefault();\n }\n },\n _appendGhost: function _appendGhost() {\n // Bug if using scale(): https://stackoverflow.com/questions/2637058\n // Not being adjusted for\n if (!ghostEl) {\n var container = this.options.fallbackOnBody ? document.body : rootEl,\n rect = getRect(dragEl, true, PositionGhostAbsolutely, true, container),\n options = this.options;\n\n // Position absolutely\n if (PositionGhostAbsolutely) {\n // Get relatively positioned parent\n ghostRelativeParent = container;\n while (css(ghostRelativeParent, 'position') === 'static' && css(ghostRelativeParent, 'transform') === 'none' && ghostRelativeParent !== document) {\n ghostRelativeParent = ghostRelativeParent.parentNode;\n }\n if (ghostRelativeParent !== document.body && ghostRelativeParent !== document.documentElement) {\n if (ghostRelativeParent === document) ghostRelativeParent = getWindowScrollingElement();\n rect.top += ghostRelativeParent.scrollTop;\n rect.left += ghostRelativeParent.scrollLeft;\n } else {\n ghostRelativeParent = getWindowScrollingElement();\n }\n ghostRelativeParentInitialScroll = getRelativeScrollOffset(ghostRelativeParent);\n }\n ghostEl = dragEl.cloneNode(true);\n toggleClass(ghostEl, options.ghostClass, false);\n toggleClass(ghostEl, options.fallbackClass, true);\n toggleClass(ghostEl, options.dragClass, true);\n css(ghostEl, 'transition', '');\n css(ghostEl, 'transform', '');\n css(ghostEl, 'box-sizing', 'border-box');\n css(ghostEl, 'margin', 0);\n css(ghostEl, 'top', rect.top);\n css(ghostEl, 'left', rect.left);\n css(ghostEl, 'width', rect.width);\n css(ghostEl, 'height', rect.height);\n css(ghostEl, 'opacity', '0.8');\n css(ghostEl, 'position', PositionGhostAbsolutely ? 'absolute' : 'fixed');\n css(ghostEl, 'zIndex', '100000');\n css(ghostEl, 'pointerEvents', 'none');\n Sortable.ghost = ghostEl;\n container.appendChild(ghostEl);\n\n // Set transform-origin\n css(ghostEl, 'transform-origin', tapDistanceLeft / parseInt(ghostEl.style.width) * 100 + '% ' + tapDistanceTop / parseInt(ghostEl.style.height) * 100 + '%');\n }\n },\n _onDragStart: function _onDragStart( /**Event*/evt, /**boolean*/fallback) {\n var _this = this;\n var dataTransfer = evt.dataTransfer;\n var options = _this.options;\n pluginEvent('dragStart', this, {\n evt: evt\n });\n if (Sortable.eventCanceled) {\n this._onDrop();\n return;\n }\n pluginEvent('setupClone', this);\n if (!Sortable.eventCanceled) {\n cloneEl = clone(dragEl);\n cloneEl.removeAttribute(\"id\");\n cloneEl.draggable = false;\n cloneEl.style['will-change'] = '';\n this._hideClone();\n toggleClass(cloneEl, this.options.chosenClass, false);\n Sortable.clone = cloneEl;\n }\n\n // #1143: IFrame support workaround\n _this.cloneId = _nextTick(function () {\n pluginEvent('clone', _this);\n if (Sortable.eventCanceled) return;\n if (!_this.options.removeCloneOnHide) {\n rootEl.insertBefore(cloneEl, dragEl);\n }\n _this._hideClone();\n _dispatchEvent({\n sortable: _this,\n name: 'clone'\n });\n });\n !fallback && toggleClass(dragEl, options.dragClass, true);\n\n // Set proper drop events\n if (fallback) {\n ignoreNextClick = true;\n _this._loopId = setInterval(_this._emulateDragOver, 50);\n } else {\n // Undo what was set in _prepareDragStart before drag started\n off(document, 'mouseup', _this._onDrop);\n off(document, 'touchend', _this._onDrop);\n off(document, 'touchcancel', _this._onDrop);\n if (dataTransfer) {\n dataTransfer.effectAllowed = 'move';\n options.setData && options.setData.call(_this, dataTransfer, dragEl);\n }\n on(document, 'drop', _this);\n\n // #1276 fix:\n css(dragEl, 'transform', 'translateZ(0)');\n }\n awaitingDragStarted = true;\n _this._dragStartId = _nextTick(_this._dragStarted.bind(_this, fallback, evt));\n on(document, 'selectstart', _this);\n moved = true;\n if (Safari) {\n css(document.body, 'user-select', 'none');\n }\n },\n // Returns true - if no further action is needed (either inserted or another condition)\n _onDragOver: function _onDragOver( /**Event*/evt) {\n var el = this.el,\n target = evt.target,\n dragRect,\n targetRect,\n revert,\n options = this.options,\n group = options.group,\n activeSortable = Sortable.active,\n isOwner = activeGroup === group,\n canSort = options.sort,\n fromSortable = putSortable || activeSortable,\n vertical,\n _this = this,\n completedFired = false;\n if (_silent) return;\n function dragOverEvent(name, extra) {\n pluginEvent(name, _this, _objectSpread2({\n evt: evt,\n isOwner: isOwner,\n axis: vertical ? 'vertical' : 'horizontal',\n revert: revert,\n dragRect: dragRect,\n targetRect: targetRect,\n canSort: canSort,\n fromSortable: fromSortable,\n target: target,\n completed: completed,\n onMove: function onMove(target, after) {\n return _onMove(rootEl, el, dragEl, dragRect, target, getRect(target), evt, after);\n },\n changed: changed\n }, extra));\n }\n\n // Capture animation state\n function capture() {\n dragOverEvent('dragOverAnimationCapture');\n _this.captureAnimationState();\n if (_this !== fromSortable) {\n fromSortable.captureAnimationState();\n }\n }\n\n // Return invocation when dragEl is inserted (or completed)\n function completed(insertion) {\n dragOverEvent('dragOverCompleted', {\n insertion: insertion\n });\n if (insertion) {\n // Clones must be hidden before folding animation to capture dragRectAbsolute properly\n if (isOwner) {\n activeSortable._hideClone();\n } else {\n activeSortable._showClone(_this);\n }\n if (_this !== fromSortable) {\n // Set ghost class to new sortable's ghost class\n toggleClass(dragEl, putSortable ? putSortable.options.ghostClass : activeSortable.options.ghostClass, false);\n toggleClass(dragEl, options.ghostClass, true);\n }\n if (putSortable !== _this && _this !== Sortable.active) {\n putSortable = _this;\n } else if (_this === Sortable.active && putSortable) {\n putSortable = null;\n }\n\n // Animation\n if (fromSortable === _this) {\n _this._ignoreWhileAnimating = target;\n }\n _this.animateAll(function () {\n dragOverEvent('dragOverAnimationComplete');\n _this._ignoreWhileAnimating = null;\n });\n if (_this !== fromSortable) {\n fromSortable.animateAll();\n fromSortable._ignoreWhileAnimating = null;\n }\n }\n\n // Null lastTarget if it is not inside a previously swapped element\n if (target === dragEl && !dragEl.animated || target === el && !target.animated) {\n lastTarget = null;\n }\n\n // no bubbling and not fallback\n if (!options.dragoverBubble && !evt.rootEl && target !== document) {\n dragEl.parentNode[expando]._isOutsideThisEl(evt.target);\n\n // Do not detect for empty insert if already inserted\n !insertion && nearestEmptyInsertDetectEvent(evt);\n }\n !options.dragoverBubble && evt.stopPropagation && evt.stopPropagation();\n return completedFired = true;\n }\n\n // Call when dragEl has been inserted\n function changed() {\n newIndex = index(dragEl);\n newDraggableIndex = index(dragEl, options.draggable);\n _dispatchEvent({\n sortable: _this,\n name: 'change',\n toEl: el,\n newIndex: newIndex,\n newDraggableIndex: newDraggableIndex,\n originalEvent: evt\n });\n }\n if (evt.preventDefault !== void 0) {\n evt.cancelable && evt.preventDefault();\n }\n target = closest(target, options.draggable, el, true);\n dragOverEvent('dragOver');\n if (Sortable.eventCanceled) return completedFired;\n if (dragEl.contains(evt.target) || target.animated && target.animatingX && target.animatingY || _this._ignoreWhileAnimating === target) {\n return completed(false);\n }\n ignoreNextClick = false;\n if (activeSortable && !options.disabled && (isOwner ? canSort || (revert = parentEl !== rootEl) // Reverting item into the original list\n : putSortable === this || (this.lastPutMode = activeGroup.checkPull(this, activeSortable, dragEl, evt)) && group.checkPut(this, activeSortable, dragEl, evt))) {\n vertical = this._getDirection(evt, target) === 'vertical';\n dragRect = getRect(dragEl);\n dragOverEvent('dragOverValid');\n if (Sortable.eventCanceled) return completedFired;\n if (revert) {\n parentEl = rootEl; // actualization\n capture();\n this._hideClone();\n dragOverEvent('revert');\n if (!Sortable.eventCanceled) {\n if (nextEl) {\n rootEl.insertBefore(dragEl, nextEl);\n } else {\n rootEl.appendChild(dragEl);\n }\n }\n return completed(true);\n }\n var elLastChild = lastChild(el, options.draggable);\n if (!elLastChild || _ghostIsLast(evt, vertical, this) && !elLastChild.animated) {\n // Insert to end of list\n\n // If already at end of list: Do not insert\n if (elLastChild === dragEl) {\n return completed(false);\n }\n\n // if there is a last element, it is the target\n if (elLastChild && el === evt.target) {\n target = elLastChild;\n }\n if (target) {\n targetRect = getRect(target);\n }\n if (_onMove(rootEl, el, dragEl, dragRect, target, targetRect, evt, !!target) !== false) {\n capture();\n if (elLastChild && elLastChild.nextSibling) {\n // the last draggable element is not the last node\n el.insertBefore(dragEl, elLastChild.nextSibling);\n } else {\n el.appendChild(dragEl);\n }\n parentEl = el; // actualization\n\n changed();\n return completed(true);\n }\n } else if (elLastChild && _ghostIsFirst(evt, vertical, this)) {\n // Insert to start of list\n var firstChild = getChild(el, 0, options, true);\n if (firstChild === dragEl) {\n return completed(false);\n }\n target = firstChild;\n targetRect = getRect(target);\n if (_onMove(rootEl, el, dragEl, dragRect, target, targetRect, evt, false) !== false) {\n capture();\n el.insertBefore(dragEl, firstChild);\n parentEl = el; // actualization\n\n changed();\n return completed(true);\n }\n } else if (target.parentNode === el) {\n targetRect = getRect(target);\n var direction = 0,\n targetBeforeFirstSwap,\n differentLevel = dragEl.parentNode !== el,\n differentRowCol = !_dragElInRowColumn(dragEl.animated && dragEl.toRect || dragRect, target.animated && target.toRect || targetRect, vertical),\n side1 = vertical ? 'top' : 'left',\n scrolledPastTop = isScrolledPast(target, 'top', 'top') || isScrolledPast(dragEl, 'top', 'top'),\n scrollBefore = scrolledPastTop ? scrolledPastTop.scrollTop : void 0;\n if (lastTarget !== target) {\n targetBeforeFirstSwap = targetRect[side1];\n pastFirstInvertThresh = false;\n isCircumstantialInvert = !differentRowCol && options.invertSwap || differentLevel;\n }\n direction = _getSwapDirection(evt, target, targetRect, vertical, differentRowCol ? 1 : options.swapThreshold, options.invertedSwapThreshold == null ? options.swapThreshold : options.invertedSwapThreshold, isCircumstantialInvert, lastTarget === target);\n var sibling;\n if (direction !== 0) {\n // Check if target is beside dragEl in respective direction (ignoring hidden elements)\n var dragIndex = index(dragEl);\n do {\n dragIndex -= direction;\n sibling = parentEl.children[dragIndex];\n } while (sibling && (css(sibling, 'display') === 'none' || sibling === ghostEl));\n }\n // If dragEl is already beside target: Do not insert\n if (direction === 0 || sibling === target) {\n return completed(false);\n }\n lastTarget = target;\n lastDirection = direction;\n var nextSibling = target.nextElementSibling,\n after = false;\n after = direction === 1;\n var moveVector = _onMove(rootEl, el, dragEl, dragRect, target, targetRect, evt, after);\n if (moveVector !== false) {\n if (moveVector === 1 || moveVector === -1) {\n after = moveVector === 1;\n }\n _silent = true;\n setTimeout(_unsilent, 30);\n capture();\n if (after && !nextSibling) {\n el.appendChild(dragEl);\n } else {\n target.parentNode.insertBefore(dragEl, after ? nextSibling : target);\n }\n\n // Undo chrome's scroll adjustment (has no effect on other browsers)\n if (scrolledPastTop) {\n scrollBy(scrolledPastTop, 0, scrollBefore - scrolledPastTop.scrollTop);\n }\n parentEl = dragEl.parentNode; // actualization\n\n // must be done before animation\n if (targetBeforeFirstSwap !== undefined && !isCircumstantialInvert) {\n targetMoveDistance = Math.abs(targetBeforeFirstSwap - getRect(target)[side1]);\n }\n changed();\n return completed(true);\n }\n }\n if (el.contains(dragEl)) {\n return completed(false);\n }\n }\n return false;\n },\n _ignoreWhileAnimating: null,\n _offMoveEvents: function _offMoveEvents() {\n off(document, 'mousemove', this._onTouchMove);\n off(document, 'touchmove', this._onTouchMove);\n off(document, 'pointermove', this._onTouchMove);\n off(document, 'dragover', nearestEmptyInsertDetectEvent);\n off(document, 'mousemove', nearestEmptyInsertDetectEvent);\n off(document, 'touchmove', nearestEmptyInsertDetectEvent);\n },\n _offUpEvents: function _offUpEvents() {\n var ownerDocument = this.el.ownerDocument;\n off(ownerDocument, 'mouseup', this._onDrop);\n off(ownerDocument, 'touchend', this._onDrop);\n off(ownerDocument, 'pointerup', this._onDrop);\n off(ownerDocument, 'touchcancel', this._onDrop);\n off(document, 'selectstart', this);\n },\n _onDrop: function _onDrop( /**Event*/evt) {\n var el = this.el,\n options = this.options;\n\n // Get the index of the dragged element within its parent\n newIndex = index(dragEl);\n newDraggableIndex = index(dragEl, options.draggable);\n pluginEvent('drop', this, {\n evt: evt\n });\n parentEl = dragEl && dragEl.parentNode;\n\n // Get again after plugin event\n newIndex = index(dragEl);\n newDraggableIndex = index(dragEl, options.draggable);\n if (Sortable.eventCanceled) {\n this._nulling();\n return;\n }\n awaitingDragStarted = false;\n isCircumstantialInvert = false;\n pastFirstInvertThresh = false;\n clearInterval(this._loopId);\n clearTimeout(this._dragStartTimer);\n _cancelNextTick(this.cloneId);\n _cancelNextTick(this._dragStartId);\n\n // Unbind events\n if (this.nativeDraggable) {\n off(document, 'drop', this);\n off(el, 'dragstart', this._onDragStart);\n }\n this._offMoveEvents();\n this._offUpEvents();\n if (Safari) {\n css(document.body, 'user-select', '');\n }\n css(dragEl, 'transform', '');\n if (evt) {\n if (moved) {\n evt.cancelable && evt.preventDefault();\n !options.dropBubble && evt.stopPropagation();\n }\n ghostEl && ghostEl.parentNode && ghostEl.parentNode.removeChild(ghostEl);\n if (rootEl === parentEl || putSortable && putSortable.lastPutMode !== 'clone') {\n // Remove clone(s)\n cloneEl && cloneEl.parentNode && cloneEl.parentNode.removeChild(cloneEl);\n }\n if (dragEl) {\n if (this.nativeDraggable) {\n off(dragEl, 'dragend', this);\n }\n _disableDraggable(dragEl);\n dragEl.style['will-change'] = '';\n\n // Remove classes\n // ghostClass is added in dragStarted\n if (moved && !awaitingDragStarted) {\n toggleClass(dragEl, putSortable ? putSortable.options.ghostClass : this.options.ghostClass, false);\n }\n toggleClass(dragEl, this.options.chosenClass, false);\n\n // Drag stop event\n _dispatchEvent({\n sortable: this,\n name: 'unchoose',\n toEl: parentEl,\n newIndex: null,\n newDraggableIndex: null,\n originalEvent: evt\n });\n if (rootEl !== parentEl) {\n if (newIndex >= 0) {\n // Add event\n _dispatchEvent({\n rootEl: parentEl,\n name: 'add',\n toEl: parentEl,\n fromEl: rootEl,\n originalEvent: evt\n });\n\n // Remove event\n _dispatchEvent({\n sortable: this,\n name: 'remove',\n toEl: parentEl,\n originalEvent: evt\n });\n\n // drag from one list and drop into another\n _dispatchEvent({\n rootEl: parentEl,\n name: 'sort',\n toEl: parentEl,\n fromEl: rootEl,\n originalEvent: evt\n });\n _dispatchEvent({\n sortable: this,\n name: 'sort',\n toEl: parentEl,\n originalEvent: evt\n });\n }\n putSortable && putSortable.save();\n } else {\n if (newIndex !== oldIndex) {\n if (newIndex >= 0) {\n // drag & drop within the same list\n _dispatchEvent({\n sortable: this,\n name: 'update',\n toEl: parentEl,\n originalEvent: evt\n });\n _dispatchEvent({\n sortable: this,\n name: 'sort',\n toEl: parentEl,\n originalEvent: evt\n });\n }\n }\n }\n if (Sortable.active) {\n /* jshint eqnull:true */\n if (newIndex == null || newIndex === -1) {\n newIndex = oldIndex;\n newDraggableIndex = oldDraggableIndex;\n }\n _dispatchEvent({\n sortable: this,\n name: 'end',\n toEl: parentEl,\n originalEvent: evt\n });\n\n // Save sorting\n this.save();\n }\n }\n }\n this._nulling();\n },\n _nulling: function _nulling() {\n pluginEvent('nulling', this);\n rootEl = dragEl = parentEl = ghostEl = nextEl = cloneEl = lastDownEl = cloneHidden = tapEvt = touchEvt = moved = newIndex = newDraggableIndex = oldIndex = oldDraggableIndex = lastTarget = lastDirection = putSortable = activeGroup = Sortable.dragged = Sortable.ghost = Sortable.clone = Sortable.active = null;\n savedInputChecked.forEach(function (el) {\n el.checked = true;\n });\n savedInputChecked.length = lastDx = lastDy = 0;\n },\n handleEvent: function handleEvent( /**Event*/evt) {\n switch (evt.type) {\n case 'drop':\n case 'dragend':\n this._onDrop(evt);\n break;\n case 'dragenter':\n case 'dragover':\n if (dragEl) {\n this._onDragOver(evt);\n _globalDragOver(evt);\n }\n break;\n case 'selectstart':\n evt.preventDefault();\n break;\n }\n },\n /**\r\n * Serializes the item into an array of string.\r\n * @returns {String[]}\r\n */\n toArray: function toArray() {\n var order = [],\n el,\n children = this.el.children,\n i = 0,\n n = children.length,\n options = this.options;\n for (; i < n; i++) {\n el = children[i];\n if (closest(el, options.draggable, this.el, false)) {\n order.push(el.getAttribute(options.dataIdAttr) || _generateId(el));\n }\n }\n return order;\n },\n /**\r\n * Sorts the elements according to the array.\r\n * @param {String[]} order order of the items\r\n */\n sort: function sort(order, useAnimation) {\n var items = {},\n rootEl = this.el;\n this.toArray().forEach(function (id, i) {\n var el = rootEl.children[i];\n if (closest(el, this.options.draggable, rootEl, false)) {\n items[id] = el;\n }\n }, this);\n useAnimation && this.captureAnimationState();\n order.forEach(function (id) {\n if (items[id]) {\n rootEl.removeChild(items[id]);\n rootEl.appendChild(items[id]);\n }\n });\n useAnimation && this.animateAll();\n },\n /**\r\n * Save the current sorting\r\n */\n save: function save() {\n var store = this.options.store;\n store && store.set && store.set(this);\n },\n /**\r\n * For each element in the set, get the first element that matches the selector by testing the element itself and traversing up through its ancestors in the DOM tree.\r\n * @param {HTMLElement} el\r\n * @param {String} [selector] default: `options.draggable`\r\n * @returns {HTMLElement|null}\r\n */\n closest: function closest$1(el, selector) {\n return closest(el, selector || this.options.draggable, this.el, false);\n },\n /**\r\n * Set/get option\r\n * @param {string} name\r\n * @param {*} [value]\r\n * @returns {*}\r\n */\n option: function option(name, value) {\n var options = this.options;\n if (value === void 0) {\n return options[name];\n } else {\n var modifiedValue = PluginManager.modifyOption(this, name, value);\n if (typeof modifiedValue !== 'undefined') {\n options[name] = modifiedValue;\n } else {\n options[name] = value;\n }\n if (name === 'group') {\n _prepareGroup(options);\n }\n }\n },\n /**\r\n * Destroy\r\n */\n destroy: function destroy() {\n pluginEvent('destroy', this);\n var el = this.el;\n el[expando] = null;\n off(el, 'mousedown', this._onTapStart);\n off(el, 'touchstart', this._onTapStart);\n off(el, 'pointerdown', this._onTapStart);\n if (this.nativeDraggable) {\n off(el, 'dragover', this);\n off(el, 'dragenter', this);\n }\n // Remove draggable attributes\n Array.prototype.forEach.call(el.querySelectorAll('[draggable]'), function (el) {\n el.removeAttribute('draggable');\n });\n this._onDrop();\n this._disableDelayedDragEvents();\n sortables.splice(sortables.indexOf(this.el), 1);\n this.el = el = null;\n },\n _hideClone: function _hideClone() {\n if (!cloneHidden) {\n pluginEvent('hideClone', this);\n if (Sortable.eventCanceled) return;\n css(cloneEl, 'display', 'none');\n if (this.options.removeCloneOnHide && cloneEl.parentNode) {\n cloneEl.parentNode.removeChild(cloneEl);\n }\n cloneHidden = true;\n }\n },\n _showClone: function _showClone(putSortable) {\n if (putSortable.lastPutMode !== 'clone') {\n this._hideClone();\n return;\n }\n if (cloneHidden) {\n pluginEvent('showClone', this);\n if (Sortable.eventCanceled) return;\n\n // show clone at dragEl or original position\n if (dragEl.parentNode == rootEl && !this.options.group.revertClone) {\n rootEl.insertBefore(cloneEl, dragEl);\n } else if (nextEl) {\n rootEl.insertBefore(cloneEl, nextEl);\n } else {\n rootEl.appendChild(cloneEl);\n }\n if (this.options.group.revertClone) {\n this.animate(dragEl, cloneEl);\n }\n css(cloneEl, 'display', '');\n cloneHidden = false;\n }\n }\n};\nfunction _globalDragOver( /**Event*/evt) {\n if (evt.dataTransfer) {\n evt.dataTransfer.dropEffect = 'move';\n }\n evt.cancelable && evt.preventDefault();\n}\nfunction _onMove(fromEl, toEl, dragEl, dragRect, targetEl, targetRect, originalEvent, willInsertAfter) {\n var evt,\n sortable = fromEl[expando],\n onMoveFn = sortable.options.onMove,\n retVal;\n // Support for new CustomEvent feature\n if (window.CustomEvent && !IE11OrLess && !Edge) {\n evt = new CustomEvent('move', {\n bubbles: true,\n cancelable: true\n });\n } else {\n evt = document.createEvent('Event');\n evt.initEvent('move', true, true);\n }\n evt.to = toEl;\n evt.from = fromEl;\n evt.dragged = dragEl;\n evt.draggedRect = dragRect;\n evt.related = targetEl || toEl;\n evt.relatedRect = targetRect || getRect(toEl);\n evt.willInsertAfter = willInsertAfter;\n evt.originalEvent = originalEvent;\n fromEl.dispatchEvent(evt);\n if (onMoveFn) {\n retVal = onMoveFn.call(sortable, evt, originalEvent);\n }\n return retVal;\n}\nfunction _disableDraggable(el) {\n el.draggable = false;\n}\nfunction _unsilent() {\n _silent = false;\n}\nfunction _ghostIsFirst(evt, vertical, sortable) {\n var firstElRect = getRect(getChild(sortable.el, 0, sortable.options, true));\n var childContainingRect = getChildContainingRectFromElement(sortable.el, sortable.options, ghostEl);\n var spacer = 10;\n return vertical ? evt.clientX < childContainingRect.left - spacer || evt.clientY < firstElRect.top && evt.clientX < firstElRect.right : evt.clientY < childContainingRect.top - spacer || evt.clientY < firstElRect.bottom && evt.clientX < firstElRect.left;\n}\nfunction _ghostIsLast(evt, vertical, sortable) {\n var lastElRect = getRect(lastChild(sortable.el, sortable.options.draggable));\n var childContainingRect = getChildContainingRectFromElement(sortable.el, sortable.options, ghostEl);\n var spacer = 10;\n return vertical ? evt.clientX > childContainingRect.right + spacer || evt.clientY > lastElRect.bottom && evt.clientX > lastElRect.left : evt.clientY > childContainingRect.bottom + spacer || evt.clientX > lastElRect.right && evt.clientY > lastElRect.top;\n}\nfunction _getSwapDirection(evt, target, targetRect, vertical, swapThreshold, invertedSwapThreshold, invertSwap, isLastTarget) {\n var mouseOnAxis = vertical ? evt.clientY : evt.clientX,\n targetLength = vertical ? targetRect.height : targetRect.width,\n targetS1 = vertical ? targetRect.top : targetRect.left,\n targetS2 = vertical ? targetRect.bottom : targetRect.right,\n invert = false;\n if (!invertSwap) {\n // Never invert or create dragEl shadow when target movemenet causes mouse to move past the end of regular swapThreshold\n if (isLastTarget && targetMoveDistance < targetLength * swapThreshold) {\n // multiplied only by swapThreshold because mouse will already be inside target by (1 - threshold) * targetLength / 2\n // check if past first invert threshold on side opposite of lastDirection\n if (!pastFirstInvertThresh && (lastDirection === 1 ? mouseOnAxis > targetS1 + targetLength * invertedSwapThreshold / 2 : mouseOnAxis < targetS2 - targetLength * invertedSwapThreshold / 2)) {\n // past first invert threshold, do not restrict inverted threshold to dragEl shadow\n pastFirstInvertThresh = true;\n }\n if (!pastFirstInvertThresh) {\n // dragEl shadow (target move distance shadow)\n if (lastDirection === 1 ? mouseOnAxis < targetS1 + targetMoveDistance // over dragEl shadow\n : mouseOnAxis > targetS2 - targetMoveDistance) {\n return -lastDirection;\n }\n } else {\n invert = true;\n }\n } else {\n // Regular\n if (mouseOnAxis > targetS1 + targetLength * (1 - swapThreshold) / 2 && mouseOnAxis < targetS2 - targetLength * (1 - swapThreshold) / 2) {\n return _getInsertDirection(target);\n }\n }\n }\n invert = invert || invertSwap;\n if (invert) {\n // Invert of regular\n if (mouseOnAxis < targetS1 + targetLength * invertedSwapThreshold / 2 || mouseOnAxis > targetS2 - targetLength * invertedSwapThreshold / 2) {\n return mouseOnAxis > targetS1 + targetLength / 2 ? 1 : -1;\n }\n }\n return 0;\n}\n\n/**\r\n * Gets the direction dragEl must be swapped relative to target in order to make it\r\n * seem that dragEl has been \"inserted\" into that element's position\r\n * @param {HTMLElement} target The target whose position dragEl is being inserted at\r\n * @return {Number} Direction dragEl must be swapped\r\n */\nfunction _getInsertDirection(target) {\n if (index(dragEl) < index(target)) {\n return 1;\n } else {\n return -1;\n }\n}\n\n/**\r\n * Generate id\r\n * @param {HTMLElement} el\r\n * @returns {String}\r\n * @private\r\n */\nfunction _generateId(el) {\n var str = el.tagName + el.className + el.src + el.href + el.textContent,\n i = str.length,\n sum = 0;\n while (i--) {\n sum += str.charCodeAt(i);\n }\n return sum.toString(36);\n}\nfunction _saveInputCheckedState(root) {\n savedInputChecked.length = 0;\n var inputs = root.getElementsByTagName('input');\n var idx = inputs.length;\n while (idx--) {\n var el = inputs[idx];\n el.checked && savedInputChecked.push(el);\n }\n}\nfunction _nextTick(fn) {\n return setTimeout(fn, 0);\n}\nfunction _cancelNextTick(id) {\n return clearTimeout(id);\n}\n\n// Fixed #973:\nif (documentExists) {\n on(document, 'touchmove', function (evt) {\n if ((Sortable.active || awaitingDragStarted) && evt.cancelable) {\n evt.preventDefault();\n }\n });\n}\n\n// Export utils\nSortable.utils = {\n on: on,\n off: off,\n css: css,\n find: find,\n is: function is(el, selector) {\n return !!closest(el, selector, el, false);\n },\n extend: extend,\n throttle: throttle,\n closest: closest,\n toggleClass: toggleClass,\n clone: clone,\n index: index,\n nextTick: _nextTick,\n cancelNextTick: _cancelNextTick,\n detectDirection: _detectDirection,\n getChild: getChild\n};\n\n/**\r\n * Get the Sortable instance of an element\r\n * @param {HTMLElement} element The element\r\n * @return {Sortable|undefined} The instance of Sortable\r\n */\nSortable.get = function (element) {\n return element[expando];\n};\n\n/**\r\n * Mount a plugin to Sortable\r\n * @param {...SortablePlugin|SortablePlugin[]} plugins Plugins being mounted\r\n */\nSortable.mount = function () {\n for (var _len = arguments.length, plugins = new Array(_len), _key = 0; _key < _len; _key++) {\n plugins[_key] = arguments[_key];\n }\n if (plugins[0].constructor === Array) plugins = plugins[0];\n plugins.forEach(function (plugin) {\n if (!plugin.prototype || !plugin.prototype.constructor) {\n throw \"Sortable: Mounted plugin must be a constructor function, not \".concat({}.toString.call(plugin));\n }\n if (plugin.utils) Sortable.utils = _objectSpread2(_objectSpread2({}, Sortable.utils), plugin.utils);\n PluginManager.mount(plugin);\n });\n};\n\n/**\r\n * Create sortable instance\r\n * @param {HTMLElement} el\r\n * @param {Object} [options]\r\n */\nSortable.create = function (el, options) {\n return new Sortable(el, options);\n};\n\n// Export\nSortable.version = version;\n\nvar autoScrolls = [],\n scrollEl,\n scrollRootEl,\n scrolling = false,\n lastAutoScrollX,\n lastAutoScrollY,\n touchEvt$1,\n pointerElemChangedInterval;\nfunction AutoScrollPlugin() {\n function AutoScroll() {\n this.defaults = {\n scroll: true,\n forceAutoScrollFallback: false,\n scrollSensitivity: 30,\n scrollSpeed: 10,\n bubbleScroll: true\n };\n\n // Bind all private methods\n for (var fn in this) {\n if (fn.charAt(0) === '_' && typeof this[fn] === 'function') {\n this[fn] = this[fn].bind(this);\n }\n }\n }\n AutoScroll.prototype = {\n dragStarted: function dragStarted(_ref) {\n var originalEvent = _ref.originalEvent;\n if (this.sortable.nativeDraggable) {\n on(document, 'dragover', this._handleAutoScroll);\n } else {\n if (this.options.supportPointer) {\n on(document, 'pointermove', this._handleFallbackAutoScroll);\n } else if (originalEvent.touches) {\n on(document, 'touchmove', this._handleFallbackAutoScroll);\n } else {\n on(document, 'mousemove', this._handleFallbackAutoScroll);\n }\n }\n },\n dragOverCompleted: function dragOverCompleted(_ref2) {\n var originalEvent = _ref2.originalEvent;\n // For when bubbling is canceled and using fallback (fallback 'touchmove' always reached)\n if (!this.options.dragOverBubble && !originalEvent.rootEl) {\n this._handleAutoScroll(originalEvent);\n }\n },\n drop: function drop() {\n if (this.sortable.nativeDraggable) {\n off(document, 'dragover', this._handleAutoScroll);\n } else {\n off(document, 'pointermove', this._handleFallbackAutoScroll);\n off(document, 'touchmove', this._handleFallbackAutoScroll);\n off(document, 'mousemove', this._handleFallbackAutoScroll);\n }\n clearPointerElemChangedInterval();\n clearAutoScrolls();\n cancelThrottle();\n },\n nulling: function nulling() {\n touchEvt$1 = scrollRootEl = scrollEl = scrolling = pointerElemChangedInterval = lastAutoScrollX = lastAutoScrollY = null;\n autoScrolls.length = 0;\n },\n _handleFallbackAutoScroll: function _handleFallbackAutoScroll(evt) {\n this._handleAutoScroll(evt, true);\n },\n _handleAutoScroll: function _handleAutoScroll(evt, fallback) {\n var _this = this;\n var x = (evt.touches ? evt.touches[0] : evt).clientX,\n y = (evt.touches ? evt.touches[0] : evt).clientY,\n elem = document.elementFromPoint(x, y);\n touchEvt$1 = evt;\n\n // IE does not seem to have native autoscroll,\n // Edge's autoscroll seems too conditional,\n // MACOS Safari does not have autoscroll,\n // Firefox and Chrome are good\n if (fallback || this.options.forceAutoScrollFallback || Edge || IE11OrLess || Safari) {\n autoScroll(evt, this.options, elem, fallback);\n\n // Listener for pointer element change\n var ogElemScroller = getParentAutoScrollElement(elem, true);\n if (scrolling && (!pointerElemChangedInterval || x !== lastAutoScrollX || y !== lastAutoScrollY)) {\n pointerElemChangedInterval && clearPointerElemChangedInterval();\n // Detect for pointer elem change, emulating native DnD behaviour\n pointerElemChangedInterval = setInterval(function () {\n var newElem = getParentAutoScrollElement(document.elementFromPoint(x, y), true);\n if (newElem !== ogElemScroller) {\n ogElemScroller = newElem;\n clearAutoScrolls();\n }\n autoScroll(evt, _this.options, newElem, fallback);\n }, 10);\n lastAutoScrollX = x;\n lastAutoScrollY = y;\n }\n } else {\n // if DnD is enabled (and browser has good autoscrolling), first autoscroll will already scroll, so get parent autoscroll of first autoscroll\n if (!this.options.bubbleScroll || getParentAutoScrollElement(elem, true) === getWindowScrollingElement()) {\n clearAutoScrolls();\n return;\n }\n autoScroll(evt, this.options, getParentAutoScrollElement(elem, false), false);\n }\n }\n };\n return _extends(AutoScroll, {\n pluginName: 'scroll',\n initializeByDefault: true\n });\n}\nfunction clearAutoScrolls() {\n autoScrolls.forEach(function (autoScroll) {\n clearInterval(autoScroll.pid);\n });\n autoScrolls = [];\n}\nfunction clearPointerElemChangedInterval() {\n clearInterval(pointerElemChangedInterval);\n}\nvar autoScroll = throttle(function (evt, options, rootEl, isFallback) {\n // Bug: https://bugzilla.mozilla.org/show_bug.cgi?id=505521\n if (!options.scroll) return;\n var x = (evt.touches ? evt.touches[0] : evt).clientX,\n y = (evt.touches ? evt.touches[0] : evt).clientY,\n sens = options.scrollSensitivity,\n speed = options.scrollSpeed,\n winScroller = getWindowScrollingElement();\n var scrollThisInstance = false,\n scrollCustomFn;\n\n // New scroll root, set scrollEl\n if (scrollRootEl !== rootEl) {\n scrollRootEl = rootEl;\n clearAutoScrolls();\n scrollEl = options.scroll;\n scrollCustomFn = options.scrollFn;\n if (scrollEl === true) {\n scrollEl = getParentAutoScrollElement(rootEl, true);\n }\n }\n var layersOut = 0;\n var currentParent = scrollEl;\n do {\n var el = currentParent,\n rect = getRect(el),\n top = rect.top,\n bottom = rect.bottom,\n left = rect.left,\n right = rect.right,\n width = rect.width,\n height = rect.height,\n canScrollX = void 0,\n canScrollY = void 0,\n scrollWidth = el.scrollWidth,\n scrollHeight = el.scrollHeight,\n elCSS = css(el),\n scrollPosX = el.scrollLeft,\n scrollPosY = el.scrollTop;\n if (el === winScroller) {\n canScrollX = width < scrollWidth && (elCSS.overflowX === 'auto' || elCSS.overflowX === 'scroll' || elCSS.overflowX === 'visible');\n canScrollY = height < scrollHeight && (elCSS.overflowY === 'auto' || elCSS.overflowY === 'scroll' || elCSS.overflowY === 'visible');\n } else {\n canScrollX = width < scrollWidth && (elCSS.overflowX === 'auto' || elCSS.overflowX === 'scroll');\n canScrollY = height < scrollHeight && (elCSS.overflowY === 'auto' || elCSS.overflowY === 'scroll');\n }\n var vx = canScrollX && (Math.abs(right - x) <= sens && scrollPosX + width < scrollWidth) - (Math.abs(left - x) <= sens && !!scrollPosX);\n var vy = canScrollY && (Math.abs(bottom - y) <= sens && scrollPosY + height < scrollHeight) - (Math.abs(top - y) <= sens && !!scrollPosY);\n if (!autoScrolls[layersOut]) {\n for (var i = 0; i <= layersOut; i++) {\n if (!autoScrolls[i]) {\n autoScrolls[i] = {};\n }\n }\n }\n if (autoScrolls[layersOut].vx != vx || autoScrolls[layersOut].vy != vy || autoScrolls[layersOut].el !== el) {\n autoScrolls[layersOut].el = el;\n autoScrolls[layersOut].vx = vx;\n autoScrolls[layersOut].vy = vy;\n clearInterval(autoScrolls[layersOut].pid);\n if (vx != 0 || vy != 0) {\n scrollThisInstance = true;\n /* jshint loopfunc:true */\n autoScrolls[layersOut].pid = setInterval(function () {\n // emulate drag over during autoscroll (fallback), emulating native DnD behaviour\n if (isFallback && this.layer === 0) {\n Sortable.active._onTouchMove(touchEvt$1); // To move ghost if it is positioned absolutely\n }\n var scrollOffsetY = autoScrolls[this.layer].vy ? autoScrolls[this.layer].vy * speed : 0;\n var scrollOffsetX = autoScrolls[this.layer].vx ? autoScrolls[this.layer].vx * speed : 0;\n if (typeof scrollCustomFn === 'function') {\n if (scrollCustomFn.call(Sortable.dragged.parentNode[expando], scrollOffsetX, scrollOffsetY, evt, touchEvt$1, autoScrolls[this.layer].el) !== 'continue') {\n return;\n }\n }\n scrollBy(autoScrolls[this.layer].el, scrollOffsetX, scrollOffsetY);\n }.bind({\n layer: layersOut\n }), 24);\n }\n }\n layersOut++;\n } while (options.bubbleScroll && currentParent !== winScroller && (currentParent = getParentAutoScrollElement(currentParent, false)));\n scrolling = scrollThisInstance; // in case another function catches scrolling as false in between when it is not\n}, 30);\n\nvar drop = function drop(_ref) {\n var originalEvent = _ref.originalEvent,\n putSortable = _ref.putSortable,\n dragEl = _ref.dragEl,\n activeSortable = _ref.activeSortable,\n dispatchSortableEvent = _ref.dispatchSortableEvent,\n hideGhostForTarget = _ref.hideGhostForTarget,\n unhideGhostForTarget = _ref.unhideGhostForTarget;\n if (!originalEvent) return;\n var toSortable = putSortable || activeSortable;\n hideGhostForTarget();\n var touch = originalEvent.changedTouches && originalEvent.changedTouches.length ? originalEvent.changedTouches[0] : originalEvent;\n var target = document.elementFromPoint(touch.clientX, touch.clientY);\n unhideGhostForTarget();\n if (toSortable && !toSortable.el.contains(target)) {\n dispatchSortableEvent('spill');\n this.onSpill({\n dragEl: dragEl,\n putSortable: putSortable\n });\n }\n};\nfunction Revert() {}\nRevert.prototype = {\n startIndex: null,\n dragStart: function dragStart(_ref2) {\n var oldDraggableIndex = _ref2.oldDraggableIndex;\n this.startIndex = oldDraggableIndex;\n },\n onSpill: function onSpill(_ref3) {\n var dragEl = _ref3.dragEl,\n putSortable = _ref3.putSortable;\n this.sortable.captureAnimationState();\n if (putSortable) {\n putSortable.captureAnimationState();\n }\n var nextSibling = getChild(this.sortable.el, this.startIndex, this.options);\n if (nextSibling) {\n this.sortable.el.insertBefore(dragEl, nextSibling);\n } else {\n this.sortable.el.appendChild(dragEl);\n }\n this.sortable.animateAll();\n if (putSortable) {\n putSortable.animateAll();\n }\n },\n drop: drop\n};\n_extends(Revert, {\n pluginName: 'revertOnSpill'\n});\nfunction Remove() {}\nRemove.prototype = {\n onSpill: function onSpill(_ref4) {\n var dragEl = _ref4.dragEl,\n putSortable = _ref4.putSortable;\n var parentSortable = putSortable || this.sortable;\n parentSortable.captureAnimationState();\n dragEl.parentNode && dragEl.parentNode.removeChild(dragEl);\n parentSortable.animateAll();\n },\n drop: drop\n};\n_extends(Remove, {\n pluginName: 'removeOnSpill'\n});\n\nvar lastSwapEl;\nfunction SwapPlugin() {\n function Swap() {\n this.defaults = {\n swapClass: 'sortable-swap-highlight'\n };\n }\n Swap.prototype = {\n dragStart: function dragStart(_ref) {\n var dragEl = _ref.dragEl;\n lastSwapEl = dragEl;\n },\n dragOverValid: function dragOverValid(_ref2) {\n var completed = _ref2.completed,\n target = _ref2.target,\n onMove = _ref2.onMove,\n activeSortable = _ref2.activeSortable,\n changed = _ref2.changed,\n cancel = _ref2.cancel;\n if (!activeSortable.options.swap) return;\n var el = this.sortable.el,\n options = this.options;\n if (target && target !== el) {\n var prevSwapEl = lastSwapEl;\n if (onMove(target) !== false) {\n toggleClass(target, options.swapClass, true);\n lastSwapEl = target;\n } else {\n lastSwapEl = null;\n }\n if (prevSwapEl && prevSwapEl !== lastSwapEl) {\n toggleClass(prevSwapEl, options.swapClass, false);\n }\n }\n changed();\n completed(true);\n cancel();\n },\n drop: function drop(_ref3) {\n var activeSortable = _ref3.activeSortable,\n putSortable = _ref3.putSortable,\n dragEl = _ref3.dragEl;\n var toSortable = putSortable || this.sortable;\n var options = this.options;\n lastSwapEl && toggleClass(lastSwapEl, options.swapClass, false);\n if (lastSwapEl && (options.swap || putSortable && putSortable.options.swap)) {\n if (dragEl !== lastSwapEl) {\n toSortable.captureAnimationState();\n if (toSortable !== activeSortable) activeSortable.captureAnimationState();\n swapNodes(dragEl, lastSwapEl);\n toSortable.animateAll();\n if (toSortable !== activeSortable) activeSortable.animateAll();\n }\n }\n },\n nulling: function nulling() {\n lastSwapEl = null;\n }\n };\n return _extends(Swap, {\n pluginName: 'swap',\n eventProperties: function eventProperties() {\n return {\n swapItem: lastSwapEl\n };\n }\n });\n}\nfunction swapNodes(n1, n2) {\n var p1 = n1.parentNode,\n p2 = n2.parentNode,\n i1,\n i2;\n if (!p1 || !p2 || p1.isEqualNode(n2) || p2.isEqualNode(n1)) return;\n i1 = index(n1);\n i2 = index(n2);\n if (p1.isEqualNode(p2) && i1 < i2) {\n i2++;\n }\n p1.insertBefore(n2, p1.children[i1]);\n p2.insertBefore(n1, p2.children[i2]);\n}\n\nvar multiDragElements = [],\n multiDragClones = [],\n lastMultiDragSelect,\n // for selection with modifier key down (SHIFT)\n multiDragSortable,\n initialFolding = false,\n // Initial multi-drag fold when drag started\n folding = false,\n // Folding any other time\n dragStarted = false,\n dragEl$1,\n clonesFromRect,\n clonesHidden;\nfunction MultiDragPlugin() {\n function MultiDrag(sortable) {\n // Bind all private methods\n for (var fn in this) {\n if (fn.charAt(0) === '_' && typeof this[fn] === 'function') {\n this[fn] = this[fn].bind(this);\n }\n }\n if (!sortable.options.avoidImplicitDeselect) {\n if (sortable.options.supportPointer) {\n on(document, 'pointerup', this._deselectMultiDrag);\n } else {\n on(document, 'mouseup', this._deselectMultiDrag);\n on(document, 'touchend', this._deselectMultiDrag);\n }\n }\n on(document, 'keydown', this._checkKeyDown);\n on(document, 'keyup', this._checkKeyUp);\n this.defaults = {\n selectedClass: 'sortable-selected',\n multiDragKey: null,\n avoidImplicitDeselect: false,\n setData: function setData(dataTransfer, dragEl) {\n var data = '';\n if (multiDragElements.length && multiDragSortable === sortable) {\n multiDragElements.forEach(function (multiDragElement, i) {\n data += (!i ? '' : ', ') + multiDragElement.textContent;\n });\n } else {\n data = dragEl.textContent;\n }\n dataTransfer.setData('Text', data);\n }\n };\n }\n MultiDrag.prototype = {\n multiDragKeyDown: false,\n isMultiDrag: false,\n delayStartGlobal: function delayStartGlobal(_ref) {\n var dragged = _ref.dragEl;\n dragEl$1 = dragged;\n },\n delayEnded: function delayEnded() {\n this.isMultiDrag = ~multiDragElements.indexOf(dragEl$1);\n },\n setupClone: function setupClone(_ref2) {\n var sortable = _ref2.sortable,\n cancel = _ref2.cancel;\n if (!this.isMultiDrag) return;\n for (var i = 0; i < multiDragElements.length; i++) {\n multiDragClones.push(clone(multiDragElements[i]));\n multiDragClones[i].sortableIndex = multiDragElements[i].sortableIndex;\n multiDragClones[i].draggable = false;\n multiDragClones[i].style['will-change'] = '';\n toggleClass(multiDragClones[i], this.options.selectedClass, false);\n multiDragElements[i] === dragEl$1 && toggleClass(multiDragClones[i], this.options.chosenClass, false);\n }\n sortable._hideClone();\n cancel();\n },\n clone: function clone(_ref3) {\n var sortable = _ref3.sortable,\n rootEl = _ref3.rootEl,\n dispatchSortableEvent = _ref3.dispatchSortableEvent,\n cancel = _ref3.cancel;\n if (!this.isMultiDrag) return;\n if (!this.options.removeCloneOnHide) {\n if (multiDragElements.length && multiDragSortable === sortable) {\n insertMultiDragClones(true, rootEl);\n dispatchSortableEvent('clone');\n cancel();\n }\n }\n },\n showClone: function showClone(_ref4) {\n var cloneNowShown = _ref4.cloneNowShown,\n rootEl = _ref4.rootEl,\n cancel = _ref4.cancel;\n if (!this.isMultiDrag) return;\n insertMultiDragClones(false, rootEl);\n multiDragClones.forEach(function (clone) {\n css(clone, 'display', '');\n });\n cloneNowShown();\n clonesHidden = false;\n cancel();\n },\n hideClone: function hideClone(_ref5) {\n var _this = this;\n var sortable = _ref5.sortable,\n cloneNowHidden = _ref5.cloneNowHidden,\n cancel = _ref5.cancel;\n if (!this.isMultiDrag) return;\n multiDragClones.forEach(function (clone) {\n css(clone, 'display', 'none');\n if (_this.options.removeCloneOnHide && clone.parentNode) {\n clone.parentNode.removeChild(clone);\n }\n });\n cloneNowHidden();\n clonesHidden = true;\n cancel();\n },\n dragStartGlobal: function dragStartGlobal(_ref6) {\n var sortable = _ref6.sortable;\n if (!this.isMultiDrag && multiDragSortable) {\n multiDragSortable.multiDrag._deselectMultiDrag();\n }\n multiDragElements.forEach(function (multiDragElement) {\n multiDragElement.sortableIndex = index(multiDragElement);\n });\n\n // Sort multi-drag elements\n multiDragElements = multiDragElements.sort(function (a, b) {\n return a.sortableIndex - b.sortableIndex;\n });\n dragStarted = true;\n },\n dragStarted: function dragStarted(_ref7) {\n var _this2 = this;\n var sortable = _ref7.sortable;\n if (!this.isMultiDrag) return;\n if (this.options.sort) {\n // Capture rects,\n // hide multi drag elements (by positioning them absolute),\n // set multi drag elements rects to dragRect,\n // show multi drag elements,\n // animate to rects,\n // unset rects & remove from DOM\n\n sortable.captureAnimationState();\n if (this.options.animation) {\n multiDragElements.forEach(function (multiDragElement) {\n if (multiDragElement === dragEl$1) return;\n css(multiDragElement, 'position', 'absolute');\n });\n var dragRect = getRect(dragEl$1, false, true, true);\n multiDragElements.forEach(function (multiDragElement) {\n if (multiDragElement === dragEl$1) return;\n setRect(multiDragElement, dragRect);\n });\n folding = true;\n initialFolding = true;\n }\n }\n sortable.animateAll(function () {\n folding = false;\n initialFolding = false;\n if (_this2.options.animation) {\n multiDragElements.forEach(function (multiDragElement) {\n unsetRect(multiDragElement);\n });\n }\n\n // Remove all auxiliary multidrag items from el, if sorting enabled\n if (_this2.options.sort) {\n removeMultiDragElements();\n }\n });\n },\n dragOver: function dragOver(_ref8) {\n var target = _ref8.target,\n completed = _ref8.completed,\n cancel = _ref8.cancel;\n if (folding && ~multiDragElements.indexOf(target)) {\n completed(false);\n cancel();\n }\n },\n revert: function revert(_ref9) {\n var fromSortable = _ref9.fromSortable,\n rootEl = _ref9.rootEl,\n sortable = _ref9.sortable,\n dragRect = _ref9.dragRect;\n if (multiDragElements.length > 1) {\n // Setup unfold animation\n multiDragElements.forEach(function (multiDragElement) {\n sortable.addAnimationState({\n target: multiDragElement,\n rect: folding ? getRect(multiDragElement) : dragRect\n });\n unsetRect(multiDragElement);\n multiDragElement.fromRect = dragRect;\n fromSortable.removeAnimationState(multiDragElement);\n });\n folding = false;\n insertMultiDragElements(!this.options.removeCloneOnHide, rootEl);\n }\n },\n dragOverCompleted: function dragOverCompleted(_ref10) {\n var sortable = _ref10.sortable,\n isOwner = _ref10.isOwner,\n insertion = _ref10.insertion,\n activeSortable = _ref10.activeSortable,\n parentEl = _ref10.parentEl,\n putSortable = _ref10.putSortable;\n var options = this.options;\n if (insertion) {\n // Clones must be hidden before folding animation to capture dragRectAbsolute properly\n if (isOwner) {\n activeSortable._hideClone();\n }\n initialFolding = false;\n // If leaving sort:false root, or already folding - Fold to new location\n if (options.animation && multiDragElements.length > 1 && (folding || !isOwner && !activeSortable.options.sort && !putSortable)) {\n // Fold: Set all multi drag elements's rects to dragEl's rect when multi-drag elements are invisible\n var dragRectAbsolute = getRect(dragEl$1, false, true, true);\n multiDragElements.forEach(function (multiDragElement) {\n if (multiDragElement === dragEl$1) return;\n setRect(multiDragElement, dragRectAbsolute);\n\n // Move element(s) to end of parentEl so that it does not interfere with multi-drag clones insertion if they are inserted\n // while folding, and so that we can capture them again because old sortable will no longer be fromSortable\n parentEl.appendChild(multiDragElement);\n });\n folding = true;\n }\n\n // Clones must be shown (and check to remove multi drags) after folding when interfering multiDragElements are moved out\n if (!isOwner) {\n // Only remove if not folding (folding will remove them anyways)\n if (!folding) {\n removeMultiDragElements();\n }\n if (multiDragElements.length > 1) {\n var clonesHiddenBefore = clonesHidden;\n activeSortable._showClone(sortable);\n\n // Unfold animation for clones if showing from hidden\n if (activeSortable.options.animation && !clonesHidden && clonesHiddenBefore) {\n multiDragClones.forEach(function (clone) {\n activeSortable.addAnimationState({\n target: clone,\n rect: clonesFromRect\n });\n clone.fromRect = clonesFromRect;\n clone.thisAnimationDuration = null;\n });\n }\n } else {\n activeSortable._showClone(sortable);\n }\n }\n }\n },\n dragOverAnimationCapture: function dragOverAnimationCapture(_ref11) {\n var dragRect = _ref11.dragRect,\n isOwner = _ref11.isOwner,\n activeSortable = _ref11.activeSortable;\n multiDragElements.forEach(function (multiDragElement) {\n multiDragElement.thisAnimationDuration = null;\n });\n if (activeSortable.options.animation && !isOwner && activeSortable.multiDrag.isMultiDrag) {\n clonesFromRect = _extends({}, dragRect);\n var dragMatrix = matrix(dragEl$1, true);\n clonesFromRect.top -= dragMatrix.f;\n clonesFromRect.left -= dragMatrix.e;\n }\n },\n dragOverAnimationComplete: function dragOverAnimationComplete() {\n if (folding) {\n folding = false;\n removeMultiDragElements();\n }\n },\n drop: function drop(_ref12) {\n var evt = _ref12.originalEvent,\n rootEl = _ref12.rootEl,\n parentEl = _ref12.parentEl,\n sortable = _ref12.sortable,\n dispatchSortableEvent = _ref12.dispatchSortableEvent,\n oldIndex = _ref12.oldIndex,\n putSortable = _ref12.putSortable;\n var toSortable = putSortable || this.sortable;\n if (!evt) return;\n var options = this.options,\n children = parentEl.children;\n\n // Multi-drag selection\n if (!dragStarted) {\n if (options.multiDragKey && !this.multiDragKeyDown) {\n this._deselectMultiDrag();\n }\n toggleClass(dragEl$1, options.selectedClass, !~multiDragElements.indexOf(dragEl$1));\n if (!~multiDragElements.indexOf(dragEl$1)) {\n multiDragElements.push(dragEl$1);\n dispatchEvent({\n sortable: sortable,\n rootEl: rootEl,\n name: 'select',\n targetEl: dragEl$1,\n originalEvent: evt\n });\n\n // Modifier activated, select from last to dragEl\n if (evt.shiftKey && lastMultiDragSelect && sortable.el.contains(lastMultiDragSelect)) {\n var lastIndex = index(lastMultiDragSelect),\n currentIndex = index(dragEl$1);\n if (~lastIndex && ~currentIndex && lastIndex !== currentIndex) {\n // Must include lastMultiDragSelect (select it), in case modified selection from no selection\n // (but previous selection existed)\n var n, i;\n if (currentIndex > lastIndex) {\n i = lastIndex;\n n = currentIndex;\n } else {\n i = currentIndex;\n n = lastIndex + 1;\n }\n for (; i < n; i++) {\n if (~multiDragElements.indexOf(children[i])) continue;\n toggleClass(children[i], options.selectedClass, true);\n multiDragElements.push(children[i]);\n dispatchEvent({\n sortable: sortable,\n rootEl: rootEl,\n name: 'select',\n targetEl: children[i],\n originalEvent: evt\n });\n }\n }\n } else {\n lastMultiDragSelect = dragEl$1;\n }\n multiDragSortable = toSortable;\n } else {\n multiDragElements.splice(multiDragElements.indexOf(dragEl$1), 1);\n lastMultiDragSelect = null;\n dispatchEvent({\n sortable: sortable,\n rootEl: rootEl,\n name: 'deselect',\n targetEl: dragEl$1,\n originalEvent: evt\n });\n }\n }\n\n // Multi-drag drop\n if (dragStarted && this.isMultiDrag) {\n folding = false;\n // Do not \"unfold\" after around dragEl if reverted\n if ((parentEl[expando].options.sort || parentEl !== rootEl) && multiDragElements.length > 1) {\n var dragRect = getRect(dragEl$1),\n multiDragIndex = index(dragEl$1, ':not(.' + this.options.selectedClass + ')');\n if (!initialFolding && options.animation) dragEl$1.thisAnimationDuration = null;\n toSortable.captureAnimationState();\n if (!initialFolding) {\n if (options.animation) {\n dragEl$1.fromRect = dragRect;\n multiDragElements.forEach(function (multiDragElement) {\n multiDragElement.thisAnimationDuration = null;\n if (multiDragElement !== dragEl$1) {\n var rect = folding ? getRect(multiDragElement) : dragRect;\n multiDragElement.fromRect = rect;\n\n // Prepare unfold animation\n toSortable.addAnimationState({\n target: multiDragElement,\n rect: rect\n });\n }\n });\n }\n\n // Multi drag elements are not necessarily removed from the DOM on drop, so to reinsert\n // properly they must all be removed\n removeMultiDragElements();\n multiDragElements.forEach(function (multiDragElement) {\n if (children[multiDragIndex]) {\n parentEl.insertBefore(multiDragElement, children[multiDragIndex]);\n } else {\n parentEl.appendChild(multiDragElement);\n }\n multiDragIndex++;\n });\n\n // If initial folding is done, the elements may have changed position because they are now\n // unfolding around dragEl, even though dragEl may not have his index changed, so update event\n // must be fired here as Sortable will not.\n if (oldIndex === index(dragEl$1)) {\n var update = false;\n multiDragElements.forEach(function (multiDragElement) {\n if (multiDragElement.sortableIndex !== index(multiDragElement)) {\n update = true;\n return;\n }\n });\n if (update) {\n dispatchSortableEvent('update');\n dispatchSortableEvent('sort');\n }\n }\n }\n\n // Must be done after capturing individual rects (scroll bar)\n multiDragElements.forEach(function (multiDragElement) {\n unsetRect(multiDragElement);\n });\n toSortable.animateAll();\n }\n multiDragSortable = toSortable;\n }\n\n // Remove clones if necessary\n if (rootEl === parentEl || putSortable && putSortable.lastPutMode !== 'clone') {\n multiDragClones.forEach(function (clone) {\n clone.parentNode && clone.parentNode.removeChild(clone);\n });\n }\n },\n nullingGlobal: function nullingGlobal() {\n this.isMultiDrag = dragStarted = false;\n multiDragClones.length = 0;\n },\n destroyGlobal: function destroyGlobal() {\n this._deselectMultiDrag();\n off(document, 'pointerup', this._deselectMultiDrag);\n off(document, 'mouseup', this._deselectMultiDrag);\n off(document, 'touchend', this._deselectMultiDrag);\n off(document, 'keydown', this._checkKeyDown);\n off(document, 'keyup', this._checkKeyUp);\n },\n _deselectMultiDrag: function _deselectMultiDrag(evt) {\n if (typeof dragStarted !== \"undefined\" && dragStarted) return;\n\n // Only deselect if selection is in this sortable\n if (multiDragSortable !== this.sortable) return;\n\n // Only deselect if target is not item in this sortable\n if (evt && closest(evt.target, this.options.draggable, this.sortable.el, false)) return;\n\n // Only deselect if left click\n if (evt && evt.button !== 0) return;\n while (multiDragElements.length) {\n var el = multiDragElements[0];\n toggleClass(el, this.options.selectedClass, false);\n multiDragElements.shift();\n dispatchEvent({\n sortable: this.sortable,\n rootEl: this.sortable.el,\n name: 'deselect',\n targetEl: el,\n originalEvent: evt\n });\n }\n },\n _checkKeyDown: function _checkKeyDown(evt) {\n if (evt.key === this.options.multiDragKey) {\n this.multiDragKeyDown = true;\n }\n },\n _checkKeyUp: function _checkKeyUp(evt) {\n if (evt.key === this.options.multiDragKey) {\n this.multiDragKeyDown = false;\n }\n }\n };\n return _extends(MultiDrag, {\n // Static methods & properties\n pluginName: 'multiDrag',\n utils: {\n /**\r\n * Selects the provided multi-drag item\r\n * @param {HTMLElement} el The element to be selected\r\n */\n select: function select(el) {\n var sortable = el.parentNode[expando];\n if (!sortable || !sortable.options.multiDrag || ~multiDragElements.indexOf(el)) return;\n if (multiDragSortable && multiDragSortable !== sortable) {\n multiDragSortable.multiDrag._deselectMultiDrag();\n multiDragSortable = sortable;\n }\n toggleClass(el, sortable.options.selectedClass, true);\n multiDragElements.push(el);\n },\n /**\r\n * Deselects the provided multi-drag item\r\n * @param {HTMLElement} el The element to be deselected\r\n */\n deselect: function deselect(el) {\n var sortable = el.parentNode[expando],\n index = multiDragElements.indexOf(el);\n if (!sortable || !sortable.options.multiDrag || !~index) return;\n toggleClass(el, sortable.options.selectedClass, false);\n multiDragElements.splice(index, 1);\n }\n },\n eventProperties: function eventProperties() {\n var _this3 = this;\n var oldIndicies = [],\n newIndicies = [];\n multiDragElements.forEach(function (multiDragElement) {\n oldIndicies.push({\n multiDragElement: multiDragElement,\n index: multiDragElement.sortableIndex\n });\n\n // multiDragElements will already be sorted if folding\n var newIndex;\n if (folding && multiDragElement !== dragEl$1) {\n newIndex = -1;\n } else if (folding) {\n newIndex = index(multiDragElement, ':not(.' + _this3.options.selectedClass + ')');\n } else {\n newIndex = index(multiDragElement);\n }\n newIndicies.push({\n multiDragElement: multiDragElement,\n index: newIndex\n });\n });\n return {\n items: _toConsumableArray(multiDragElements),\n clones: [].concat(multiDragClones),\n oldIndicies: oldIndicies,\n newIndicies: newIndicies\n };\n },\n optionListeners: {\n multiDragKey: function multiDragKey(key) {\n key = key.toLowerCase();\n if (key === 'ctrl') {\n key = 'Control';\n } else if (key.length > 1) {\n key = key.charAt(0).toUpperCase() + key.substr(1);\n }\n return key;\n }\n }\n });\n}\nfunction insertMultiDragElements(clonesInserted, rootEl) {\n multiDragElements.forEach(function (multiDragElement, i) {\n var target = rootEl.children[multiDragElement.sortableIndex + (clonesInserted ? Number(i) : 0)];\n if (target) {\n rootEl.insertBefore(multiDragElement, target);\n } else {\n rootEl.appendChild(multiDragElement);\n }\n });\n}\n\n/**\r\n * Insert multi-drag clones\r\n * @param {[Boolean]} elementsInserted Whether the multi-drag elements are inserted\r\n * @param {HTMLElement} rootEl\r\n */\nfunction insertMultiDragClones(elementsInserted, rootEl) {\n multiDragClones.forEach(function (clone, i) {\n var target = rootEl.children[clone.sortableIndex + (elementsInserted ? Number(i) : 0)];\n if (target) {\n rootEl.insertBefore(clone, target);\n } else {\n rootEl.appendChild(clone);\n }\n });\n}\nfunction removeMultiDragElements() {\n multiDragElements.forEach(function (multiDragElement) {\n if (multiDragElement === dragEl$1) return;\n multiDragElement.parentNode && multiDragElement.parentNode.removeChild(multiDragElement);\n });\n}\n\nSortable.mount(new AutoScrollPlugin());\nSortable.mount(Remove, Revert);\n\nexport default Sortable;\nexport { MultiDragPlugin as MultiDrag, Sortable, SwapPlugin as Swap };\n", "import { Controller } from \"@hotwired/stimulus\"\n\nimport Sortable from 'sortablejs'\n\nexport default class extends Controller {\n static targets = [ 'item' ]\n static values = { group: String }\n\n connect() {\n this.initializeSortable()\n }\n\n initializeSortable() {\n Sortable.create(this.element, {\n animation: 150,\n group: this.groupValue,\n handle: '.sortable-handle',\n onEnd: this.handleSortEnd.bind(this)\n })\n }\n\n handleSortEnd(event) {\n const item = event.item\n const position = event.newIndex + 1\n const url = item.dataset.url\n\n const data = new FormData()\n data.append('position', position)\n\n if (this.groupValue) {\n const groupId = item.closest('.group')?.dataset.id\n if (groupId) data.append('group_id', groupId)\n }\n\n this.submitSortUpdate(url, data)\n }\n\n async submitSortUpdate(url, data) {\n try {\n fetch(url, {\n method: 'PATCH',\n body: data,\n headers: {\n 'Accept': 'text/vnd.turbo-stream.html',\n 'X-CSRF-Token': document.querySelector('meta[name=\"csrf-token\"]').content\n }\n })\n .then(r => r.text())\n .then(html => Turbo.renderStreamMessage(html))\n } catch (error) {\n console.error('Error:', error)\n }\n }\n}\n", "// This file is auto-generated by ./bin/rails stimulus:manifest:update\n// Run that command whenever you add a new controller or create them with\n// ./bin/rails generate stimulus controllerName\n\nimport { application } from \"./application\"\n\nimport AutosizeController from \"./autosize_controller\"\napplication.register(\"autosize\", AutosizeController)\n\nimport ClipboardController from \"./clipboard_controller\"\napplication.register(\"clipboard\", ClipboardController)\n\nimport DepthTextController from \"./depth_text_controller\"\napplication.register(\"depth-text\", DepthTextController)\n\nimport FlashController from \"./flash_controller\"\napplication.register(\"flash\", FlashController)\n\nimport HistoryController from \"./history_controller\"\napplication.register(\"history\", HistoryController)\n\nimport ImageModalController from \"./image_modal_controller\"\napplication.register(\"image-modal\", ImageModalController)\n\nimport ImageOverflowController from \"./image_overflow_controller\"\napplication.register(\"image-overflow\", ImageOverflowController)\n\nimport InfiniteScrollController from \"./infinite_scroll_controller\"\napplication.register(\"infinite-scroll\", InfiniteScrollController)\n\nimport LucideController from \"./lucide_controller\"\napplication.register(\"lucide\", LucideController)\n\nimport NavigationController from \"./navigation_controller\"\napplication.register(\"navigation\", NavigationController)\n\nimport PromptBuilderController from \"./prompt_builder_controller\"\napplication.register(\"prompt-builder\", PromptBuilderController)\n\nimport SortableController from \"./sortable_controller\"\napplication.register(\"sortable\", SortableController)\n", "// app/javascript/application.js\n// Add this at the top of your file\nif (typeof globalThis.__webpack_public_path__ !== 'undefined') {\n globalThis.__webpack_public_path__ = '/assets/'\n}\n\n// Rest of your imports...\n// Entry point for the build script in your package.json\nimport \"@hotwired/turbo-rails\"\nimport \"./controllers\"\n"],
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